diff --git a/.github/workflows/env-checks.yml b/.github/workflows/env-checks.yml
index e273d44..8917245 100644
--- a/.github/workflows/env-checks.yml
+++ b/.github/workflows/env-checks.yml
@@ -1,6 +1,6 @@
 # This workflow builds the workshop environment on Mac, Linux, and Windows for
 # multiple versions of Python to confirm it can be properly installed.
-# 
+#
 # Author: Stefanie Molin
 
 name: Env Build
@@ -33,7 +33,7 @@ jobs:
 
     # The type of runner that the job will run on
     runs-on: ${{ matrix.os }}
-    
+
     defaults:
       run:
         shell: bash -el {0}
@@ -42,13 +42,13 @@ jobs:
         fail-fast: false
         matrix:
             os: [macos-latest, ubuntu-latest, windows-latest]
-            python-version: ["3.8", "3.9", "3.10", "3.11"]
+            python-version: ["3.9", "3.10", "3.11", "3.12"]
 
     # Steps represent a sequence of tasks that will be executed as part of the job
     steps:
       # checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
-      - uses: actions/checkout@v3
-      
+      - uses: actions/checkout@v4
+
       # remove the Python version from the file for testing
       - name: strip hardcoded Python version from environment for testing
         run: |
@@ -59,12 +59,13 @@ jobs:
           fi;
 
       # create the conda env
-      - uses: conda-incubator/setup-miniconda@v2
+      - uses: conda-incubator/setup-miniconda@v3
         with:
           python-version: ${{ matrix.python-version }}
           auto-update-conda: true
           miniforge-variant: Mambaforge
-          use-mamba: true
+          mamba-version: "*"
+          channels: conda-forge
           channel-priority: true
           activate-environment: pandas_workshop
           environment-file: environment.yml
diff --git a/README.md b/README.md
index 126b995..04698ed 100644
--- a/README.md
+++ b/README.md
@@ -40,7 +40,10 @@ You can work through the notebooks locally or in your browser. Pick the installa
 ### Local Installation
 **Warning**: It is highly recommended that you use your personal laptop for the installation.
 
-0. Install Python >= version 3.8 and <= version 3.11 OR install [Anaconda](https://docs.anaconda.com/anaconda/install/)/[Miniconda](https://docs.conda.io/en/latest/miniconda.html). Note that Anaconda/Miniconda is recommended if you are working on a Windows machine and are not very comfortable with the command line. Alternatively, depending on server availability, you can use [this](https://mybinder.org/v2/gh/stefmolin/pandas-workshop/main?urlpath=lab) Binder environment if you don't want to install anything on your machine.
+0. Install the following, if not already installed:
+   - Python >= version 3.9 and <= version 3.12 OR install [Anaconda](https://docs.anaconda.com/anaconda/install/)/[Miniconda](https://docs.conda.io/en/latest/miniconda.html). Note that Anaconda/Miniconda is recommended if you are working on a Windows machine and are not very comfortable with the command line.
+   - [Git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
+
 1. Fork this repository:
 
     ![location of fork button in GitHub](./media/fork_button.png)
diff --git a/asynchronous_lab/asynchronous_lab.ipynb b/asynchronous_lab/asynchronous_lab.ipynb
index 79a04b0..afcdf86 100644
--- a/asynchronous_lab/asynchronous_lab.ipynb
+++ b/asynchronous_lab/asynchronous_lab.ipynb
@@ -260,7 +260,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -274,7 +274,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/asynchronous_lab/solutions.ipynb b/asynchronous_lab/solutions.ipynb
index 64e9df9..bb0591b 100644
--- a/asynchronous_lab/solutions.ipynb
+++ b/asynchronous_lab/solutions.ipynb
@@ -195,22 +195,22 @@
        "</div>"
       ],
       "text/plain": [
-       "   passengers    freight  mail  distance unique_carrier  airline_id   \n",
-       "0         0.0    53185.0   0.0    8165.0             EK       20392  \\\n",
+       "   passengers    freight  mail  distance unique_carrier  airline_id  \\\n",
+       "0         0.0    53185.0   0.0    8165.0             EK       20392   \n",
        "1         0.0     9002.0   0.0    6849.0             EK       20392   \n",
        "2         0.0  2220750.0   0.0    7247.0             EK       20392   \n",
        "3         0.0  1201490.0   0.0    8165.0             EK       20392   \n",
        "4         0.0   248642.0   0.0    6849.0             EK       20392   \n",
        "\n",
-       "  unique_carrier_name unique_carrier_entity region carrier  ... dest_state_nm   \n",
-       "0            Emirates                 9678A      I      EK  ...         Texas  \\\n",
+       "  unique_carrier_name unique_carrier_entity region carrier  ... dest_state_nm  \\\n",
+       "0            Emirates                 9678A      I      EK  ...         Texas   \n",
        "1            Emirates                 9678A      I      EK  ...      New York   \n",
        "2            Emirates                 9678A      I      EK  ...      Illinois   \n",
        "3            Emirates                 9678A      I      EK  ...           NaN   \n",
        "4            Emirates                 9678A      I      EK  ...           NaN   \n",
        "\n",
-       "   dest_country     dest_country_name  dest_wac  year  quarter month   \n",
-       "0            US         United States        74  2019        1     3  \\\n",
+       "   dest_country     dest_country_name  dest_wac  year  quarter month  \\\n",
+       "0            US         United States        74  2019        1     3   \n",
        "1            US         United States        22  2019        1     3   \n",
        "2            US         United States        41  2019        1     3   \n",
        "3            AE  United Arab Emirates       678  2019        1     3   \n",
@@ -1055,9 +1055,9 @@
        "</div>"
       ],
       "text/plain": [
-       "international_country  United Kingdom     Mexico     Canada    Germany   \n",
+       "international_country  United Kingdom     Mexico     Canada    Germany  \\\n",
        "us_city                                                                  \n",
-       "New York, NY                3599328.0   860173.0  1566104.0   853674.0  \\\n",
+       "New York, NY                3599328.0   860173.0  1566104.0   853674.0   \n",
        "Miami, FL                   1037798.0   854086.0   412699.0   375279.0   \n",
        "Atlanta, GA                  773873.0  1569084.0   741236.0   659374.0   \n",
        "Newark, NJ                  1240972.0   633896.0   332936.0   881199.0   \n",
@@ -1068,9 +1068,9 @@
        "Dallas/Fort Worth, TX        751539.0  2047306.0   446766.0   359896.0   \n",
        "Fort Lauderdale, FL           45007.0   396294.0   227229.0        NaN   \n",
        "\n",
-       "international_country  Dominican Republic     Japan   Jamaica  Netherlands   \n",
+       "international_country  Dominican Republic     Japan   Jamaica  Netherlands  \\\n",
        "us_city                                                                      \n",
-       "New York, NY                    2443025.0    3832.0  740717.0     323223.0  \\\n",
+       "New York, NY                    2443025.0    3832.0  740717.0     323223.0   \n",
        "Miami, FL                        916565.0       NaN  540691.0          NaN   \n",
        "Atlanta, GA                      462258.0  191342.0  502099.0     499415.0   \n",
        "Newark, NJ                       868299.0  210033.0  145932.0     151797.0   \n",
@@ -1368,9 +1368,9 @@
        "</div>"
       ],
       "text/plain": [
-       "international_country    Brazil    Canada     China  Colombia   \n",
+       "international_country    Brazil    Canada     China  Colombia  \\\n",
        "us_city                                                         \n",
-       "Atlanta, GA            0.073838  0.035586  0.019355  0.037853  \\\n",
+       "Atlanta, GA            0.073838  0.035586  0.019355  0.037853   \n",
        "Chicago, IL            0.037089  0.071433  0.063844  0.002887   \n",
        "Dallas/Fort Worth, TX  0.041950  0.026075  0.036498  0.019071   \n",
        "Houston, TX            0.059782  0.033252  0.017368  0.045179   \n",
@@ -1381,9 +1381,9 @@
        "San Francisco, CA           NaN  0.058750  0.143582       NaN   \n",
        "Washington, DC         0.027989  0.030353  0.031496  0.020569   \n",
        "\n",
-       "international_country  Dominican Republic    France   Germany     Italy   \n",
+       "international_country  Dominican Republic    France   Germany     Italy  \\\n",
        "us_city                                                                   \n",
-       "Atlanta, GA                      0.060782  0.097139  0.060561  0.075241  \\\n",
+       "Atlanta, GA                      0.060782  0.097139  0.060561  0.075241   \n",
        "Chicago, IL                      0.032785  0.041849  0.099252  0.060731   \n",
        "Dallas/Fort Worth, TX            0.004950  0.028932  0.033055  0.021876   \n",
        "Houston, TX                      0.006499  0.017999  0.050199       NaN   \n",
@@ -1394,9 +1394,9 @@
        "San Francisco, CA                     NaN  0.068619  0.088452  0.008179   \n",
        "Washington, DC                   0.013370  0.057686  0.082315  0.035564   \n",
        "\n",
-       "international_country   Jamaica     Japan    Mexico  Netherlands  South Korea   \n",
+       "international_country   Jamaica     Japan    Mexico  Netherlands  South Korea  \\\n",
        "us_city                                                                         \n",
-       "Atlanta, GA            0.113234  0.019115  0.053810     0.127279     0.072975  \\\n",
+       "Atlanta, GA            0.113234  0.019115  0.053810     0.127279     0.072975   \n",
        "Chicago, IL            0.038491  0.058029  0.084269     0.045159     0.044433   \n",
        "Dallas/Fort Worth, TX  0.021488  0.045049  0.106572     0.010794     0.049176   \n",
        "Houston, TX            0.027450  0.031631  0.123727     0.052429          NaN   \n",
@@ -1464,7 +1464,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1400x800 with 2 Axes>"
       ]
@@ -1511,7 +1511,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/environment.yml b/environment.yml
index b1f4372..c66ed21 100644
--- a/environment.yml
+++ b/environment.yml
@@ -1,11 +1,11 @@
 name: pandas_workshop
-channels: 
+channels:
     - conda-forge
 dependencies:
-    - python>=3.8.0,<=3.11.30
-    - jupyterlab>=3.5.2
-    - matplotlib=3.7.1
-    - numpy=1.24.2
-    - pandas=2.0.0
+    - python>=3.9.0,<=3.12.30
+    - jupyterlab>=4.2.3
+    - matplotlib=3.8.4
+    - numpy=2.0.0
+    - pandas=2.2.2
     - requests
-    - seaborn=0.12.2
+    - seaborn=0.13.2
diff --git a/notebooks/0-check_your_env.ipynb b/notebooks/0-check_your_env.ipynb
index 6ea5687..f5cca56 100644
--- a/notebooks/0-check_your_env.ipynb
+++ b/notebooks/0-check_your_env.ipynb
@@ -56,7 +56,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/1-getting_started_with_pandas.ipynb b/notebooks/1-getting_started_with_pandas.ipynb
index 6676c78..54e2bf2 100644
--- a/notebooks/1-getting_started_with_pandas.ipynb
+++ b/notebooks/1-getting_started_with_pandas.ipynb
@@ -158,8 +158,8 @@
        "</div>"
       ],
       "text/plain": [
-       "       name   id nametype     recclass  mass (g)  fall   \n",
-       "0    Aachen    1    Valid           L5        21  Fell  \\\n",
+       "       name   id nametype     recclass  mass (g)  fall  \\\n",
+       "0    Aachen    1    Valid           L5        21  Fell   \n",
        "1    Aarhus    2    Valid           H6       720  Fell   \n",
        "2      Abee    6    Valid          EH4    107000  Fell   \n",
        "3  Acapulco   10    Valid  Acapulcoite      1914  Fell   \n",
@@ -504,13 +504,13 @@
        "</div>"
       ],
       "text/plain": [
-       "     name id nametype recclass    mass  fall                     year   \n",
-       "0  Aachen  1    Valid       L5      21  Fell  1880-01-01T00:00:00.000  \\\n",
+       "     name id nametype recclass    mass  fall                     year  \\\n",
+       "0  Aachen  1    Valid       L5      21  Fell  1880-01-01T00:00:00.000   \n",
        "1  Aarhus  2    Valid       H6     720  Fell  1951-01-01T00:00:00.000   \n",
        "2    Abee  6    Valid      EH4  107000  Fell  1952-01-01T00:00:00.000   \n",
        "\n",
-       "      reclat      reclong                                        geolocation   \n",
-       "0  50.775000     6.083330     {'latitude': '50.775', 'longitude': '6.08333'}  \\\n",
+       "      reclat      reclong                                        geolocation  \\\n",
+       "0  50.775000     6.083330     {'latitude': '50.775', 'longitude': '6.08333'}   \n",
        "1  56.183330    10.233330  {'latitude': '56.18333', 'longitude': '10.23333'}   \n",
        "2  54.216670  -113.000000    {'latitude': '54.21667', 'longitude': '-113.0'}   \n",
        "\n",
@@ -809,8 +809,8 @@
        "</div>"
       ],
       "text/plain": [
-       "       name   id nametype     recclass  mass (g)  fall   \n",
-       "0    Aachen    1    Valid           L5      21.0  Fell  \\\n",
+       "       name   id nametype     recclass  mass (g)  fall  \\\n",
+       "0    Aachen    1    Valid           L5      21.0  Fell   \n",
        "1    Aarhus    2    Valid           H6     720.0  Fell   \n",
        "2      Abee    6    Valid          EH4  107000.0  Fell   \n",
        "3  Acapulco   10    Valid  Acapulcoite    1914.0  Fell   \n",
@@ -958,8 +958,8 @@
        "</div>"
       ],
       "text/plain": [
-       "             name     id nametype              recclass  mass (g)   fall   \n",
-       "45711  Zillah 002  31356    Valid               Eucrite     172.0  Found  \\\n",
+       "             name     id nametype              recclass  mass (g)   fall  \\\n",
+       "45711  Zillah 002  31356    Valid               Eucrite     172.0  Found   \n",
        "45712      Zinder  30409    Valid  Pallasite, ungrouped      46.0  Found   \n",
        "45713        Zlin  30410    Valid                    H4       3.3  Found   \n",
        "45714   Zubkovsky  31357    Valid                    L6    2167.0  Found   \n",
@@ -1380,8 +1380,8 @@
        "</div>"
       ],
       "text/plain": [
-       "              name     id nametype       recclass  mass (g)  fall   \n",
-       "100         Benton   5026    Valid            LL6    2840.0  Fell  \\\n",
+       "              name     id nametype       recclass  mass (g)  fall  \\\n",
+       "100         Benton   5026    Valid            LL6    2840.0  Fell   \n",
        "101         Berduc  48975    Valid             L6     270.0  Fell   \n",
        "102         Béréba   5028    Valid  Eucrite-mmict   18000.0  Fell   \n",
        "103  Berlanguillas   5029    Valid             L6    1440.0  Fell   \n",
@@ -1794,8 +1794,8 @@
        "</div>"
       ],
       "text/plain": [
-       "              name     id nametype    recclass    mass (g)  fall   \n",
-       "29         Allende   2278    Valid         CV3   2000000.0  Fell  \\\n",
+       "              name     id nametype    recclass    mass (g)  fall  \\\n",
+       "29         Allende   2278    Valid         CV3   2000000.0  Fell   \n",
        "419          Jilin  12171    Valid          H5   4000000.0  Fell   \n",
        "506  Kunya-Urgench  12379    Valid          H5   1100000.0  Fell   \n",
        "707  Norton County  17922    Valid     Aubrite   1100000.0  Fell   \n",
@@ -1954,8 +1954,8 @@
        "</div>"
       ],
       "text/plain": [
-       "              name     id nametype    recclass    mass (g)  fall   \n",
-       "29         Allende   2278    Valid         CV3   2000000.0  Fell  \\\n",
+       "              name     id nametype    recclass    mass (g)  fall  \\\n",
+       "29         Allende   2278    Valid         CV3   2000000.0  Fell   \n",
        "419          Jilin  12171    Valid          H5   4000000.0  Fell   \n",
        "506  Kunya-Urgench  12379    Valid          H5   1100000.0  Fell   \n",
        "707  Norton County  17922    Valid     Aubrite   1100000.0  Fell   \n",
@@ -2078,7 +2078,7 @@
     {
      "data": {
       "text/plain": [
-       "13278.078548601512"
+       "np.float64(13278.078548601512)"
       ]
      },
      "execution_count": 25,
@@ -2164,7 +2164,7 @@
     {
      "data": {
       "text/plain": [
-       "32.6"
+       "np.float64(32.6)"
       ]
      },
      "execution_count": 27,
@@ -2198,7 +2198,7 @@
     {
      "data": {
       "text/plain": [
-       "60000000.0"
+       "np.float64(60000000.0)"
       ]
      },
      "execution_count": 28,
@@ -2534,8 +2534,8 @@
        "</div>"
       ],
       "text/plain": [
-       "          name            id nametype recclass      mass (g)   fall   \n",
-       "count    45716  45716.000000    45716    45716  4.558500e+04  45716  \\\n",
+       "          name            id nametype recclass      mass (g)   fall  \\\n",
+       "count    45716  45716.000000    45716    45716  4.558500e+04  45716   \n",
        "unique   45716           NaN        2      466           NaN      2   \n",
        "top     Aachen           NaN    Valid       L6           NaN  Found   \n",
        "freq         1           NaN    45641     8285           NaN  44609   \n",
@@ -2661,7 +2661,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/2-data_wrangling.ipynb b/notebooks/2-data_wrangling.ipynb
index d4a8646..97558ef 100644
--- a/notebooks/2-data_wrangling.ipynb
+++ b/notebooks/2-data_wrangling.ipynb
@@ -4,6 +4,7 @@
    "cell_type": "markdown",
    "id": "2ea64fb3-084e-4467-90ce-f3f6356cd3c3",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "skip"
     },
@@ -20,6 +21,7 @@
    "cell_type": "markdown",
    "id": "03ad7f69-c3e9-4ce8-a044-fd12502fd622",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -35,6 +37,7 @@
    "cell_type": "markdown",
    "id": "d1acd617-c093-4406-9ea8-61289e29e12c",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -50,7 +53,13 @@
    "cell_type": "code",
    "execution_count": 1,
    "id": "c91ca2ea-c35b-455d-bbc9-312b47c864e4",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -204,29 +213,29 @@
        "</div>"
       ],
       "text/plain": [
-       "   vendorid     tpep_pickup_datetime    tpep_dropoff_datetime   \n",
-       "0         2  2019-10-23T16:39:42.000  2019-10-23T17:14:10.000  \\\n",
+       "   vendorid     tpep_pickup_datetime    tpep_dropoff_datetime  \\\n",
+       "0         2  2019-10-23T16:39:42.000  2019-10-23T17:14:10.000   \n",
        "1         1  2019-10-23T16:32:08.000  2019-10-23T16:45:26.000   \n",
        "2         2  2019-10-23T16:08:44.000  2019-10-23T16:21:11.000   \n",
        "3         2  2019-10-23T16:22:44.000  2019-10-23T16:43:26.000   \n",
        "4         2  2019-10-23T16:45:11.000  2019-10-23T16:58:49.000   \n",
        "\n",
-       "   passenger_count  trip_distance  ratecodeid store_and_fwd_flag   \n",
-       "0                1           7.93           1                  N  \\\n",
+       "   passenger_count  trip_distance  ratecodeid store_and_fwd_flag  \\\n",
+       "0                1           7.93           1                  N   \n",
        "1                1           2.00           1                  N   \n",
        "2                1           1.36           1                  N   \n",
        "3                1           1.00           1                  N   \n",
        "4                1           1.96           1                  N   \n",
        "\n",
-       "   pulocationid  dolocationid  payment_type  fare_amount  extra  mta_tax   \n",
-       "0           138           170             1         29.5    1.0      0.5  \\\n",
+       "   pulocationid  dolocationid  payment_type  fare_amount  extra  mta_tax  \\\n",
+       "0           138           170             1         29.5    1.0      0.5   \n",
        "1            11            26             1         10.5    1.0      0.5   \n",
        "2           163           162             1          9.5    1.0      0.5   \n",
        "3           170           163             1         13.0    1.0      0.5   \n",
        "4           163           236             1         10.5    1.0      0.5   \n",
        "\n",
-       "   tip_amount  tolls_amount  improvement_surcharge  total_amount   \n",
-       "0        7.98          6.12                    0.3         47.90  \\\n",
+       "   tip_amount  tolls_amount  improvement_surcharge  total_amount  \\\n",
+       "0        7.98          6.12                    0.3         47.90   \n",
        "1        0.00          0.00                    0.3         12.30   \n",
        "2        2.00          0.00                    0.3         15.80   \n",
        "3        4.32          0.00                    0.3         21.62   \n",
@@ -255,7 +264,13 @@
   {
    "cell_type": "markdown",
    "id": "d65aa6c3-092a-4ed9-95aa-57e8ec41e131",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "*Source: [NYC Open Data](https://data.cityofnewyork.us/Transportation/2019-Yellow-Taxi-Trip-Data/2upf-qytp) collected via [SODA](https://dev.socrata.com/foundry/data.cityofnewyork.us/2upf-qytp).*"
    ]
@@ -264,6 +279,7 @@
    "cell_type": "markdown",
    "id": "79315a59-bc5b-4bd2-a25a-8f2de24217e2",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -279,6 +295,7 @@
    "execution_count": 2,
    "id": "e782b52c-dc8c-4aac-ba6d-f3b3cd7b5f2c",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -309,6 +326,7 @@
    "execution_count": 3,
    "id": "bc0652f8-87af-43dd-82d0-07ba120b05f8",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -437,15 +455,15 @@
        "</div>"
       ],
       "text/plain": [
-       "      tpep_pickup_datetime    tpep_dropoff_datetime  passenger_count   \n",
-       "0  2019-10-23T16:39:42.000  2019-10-23T17:14:10.000                1  \\\n",
+       "      tpep_pickup_datetime    tpep_dropoff_datetime  passenger_count  \\\n",
+       "0  2019-10-23T16:39:42.000  2019-10-23T17:14:10.000                1   \n",
        "1  2019-10-23T16:32:08.000  2019-10-23T16:45:26.000                1   \n",
        "2  2019-10-23T16:08:44.000  2019-10-23T16:21:11.000                1   \n",
        "3  2019-10-23T16:22:44.000  2019-10-23T16:43:26.000                1   \n",
        "4  2019-10-23T16:45:11.000  2019-10-23T16:58:49.000                1   \n",
        "\n",
-       "   trip_distance  payment_type  fare_amount  extra  mta_tax  tip_amount   \n",
-       "0           7.93             1         29.5    1.0      0.5        7.98  \\\n",
+       "   trip_distance  payment_type  fare_amount  extra  mta_tax  tip_amount  \\\n",
+       "0           7.93             1         29.5    1.0      0.5        7.98   \n",
        "1           2.00             1         10.5    1.0      0.5        0.00   \n",
        "2           1.36             1          9.5    1.0      0.5        2.00   \n",
        "3           1.00             1         13.0    1.0      0.5        4.32   \n",
@@ -473,6 +491,7 @@
    "cell_type": "markdown",
    "id": "b6581776-8391-41a3-a7fa-c65af402da77",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -486,6 +505,7 @@
    "cell_type": "markdown",
    "id": "23cc920e-4af6-456b-a0ce-87ade2b189ac",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -501,7 +521,13 @@
    "cell_type": "code",
    "execution_count": 4,
    "id": "32ec2dc4-c8c3-424d-ae36-d732907b9f59",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -531,6 +557,7 @@
    "cell_type": "markdown",
    "id": "d74d21a8-d733-4afa-a140-29ccdcd83b46",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -546,7 +573,13 @@
    "cell_type": "code",
    "execution_count": 5,
    "id": "b5ff546c-4a66-4102-b947-1d9147e89369",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -580,6 +613,7 @@
    "cell_type": "markdown",
    "id": "fa644cbb-24dd-4a62-a350-f773c54c50fe",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -593,7 +627,13 @@
    "cell_type": "code",
    "execution_count": 6,
    "id": "01299409-aace-4d41-bea5-7bd40a85e620",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -628,7 +668,13 @@
   {
    "cell_type": "markdown",
    "id": "837ea457-45d8-4dae-aa0e-746be381f4da",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "*Tip: There are other ways to perform type conversion. For numeric values, we can use the `pd.to_numeric()` function, and we will see the `astype()` method, which is a more generic method, a little later.*"
    ]
@@ -637,6 +683,7 @@
    "cell_type": "markdown",
    "id": "5a8fafca-8cf2-4402-ab34-758dabe955e2",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -658,6 +705,7 @@
    "execution_count": 7,
    "id": "644ba83f-f834-4296-971e-5e7b07b955a8",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -679,7 +727,13 @@
   {
    "cell_type": "markdown",
    "id": "8d2cabea-d370-4ea9-951a-a22290fe182f",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "*Tip: New to `lambda` functions? These small, anonymous functions can receive multiple arguments, but can only contain one expression (the return value). You will see these a lot in pandas code. Read more about them [here](https://realpython.com/python-lambda/).*"
    ]
@@ -688,6 +742,7 @@
    "cell_type": "markdown",
    "id": "b0b2af8a-0727-4e08-a07d-64ddb73a71dd",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -701,7 +756,13 @@
    "cell_type": "code",
    "execution_count": 8,
    "id": "ec0a2df8-4f40-4bb0-8cd8-0f558d218fd6",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -792,16 +853,16 @@
        "</div>"
       ],
       "text/plain": [
-       "               pickup             dropoff  passenger_count  trip_distance   \n",
-       "0 2019-10-23 16:39:42 2019-10-23 17:14:10                1           7.93  \\\n",
+       "               pickup             dropoff  passenger_count  trip_distance  \\\n",
+       "0 2019-10-23 16:39:42 2019-10-23 17:14:10                1           7.93   \n",
        "1 2019-10-23 16:32:08 2019-10-23 16:45:26                1           2.00   \n",
        "\n",
-       "   payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount   \n",
-       "0             1         29.5    1.0      0.5        7.98          6.12  \\\n",
+       "   payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount  \\\n",
+       "0             1         29.5    1.0      0.5        7.98          6.12   \n",
        "1             1         10.5    1.0      0.5        0.00          0.00   \n",
        "\n",
-       "   improvement_surcharge  total_amount  congestion_surcharge    elapsed_time   \n",
-       "0                    0.3          47.9                   2.5 0 days 00:34:28  \\\n",
+       "   improvement_surcharge  total_amount  congestion_surcharge    elapsed_time  \\\n",
+       "0                    0.3          47.9                   2.5 0 days 00:34:28   \n",
        "1                    0.3          12.3                   0.0 0 days 00:13:18   \n",
        "\n",
        "   cost_before_tip  tip_pct   fees  avg_speed  \n",
@@ -822,6 +883,7 @@
    "cell_type": "markdown",
    "id": "15049dfd-dd9e-4365-8ecf-0a74f5fe3498",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -837,6 +899,7 @@
    "cell_type": "markdown",
    "id": "f1ebce53-9f31-4aa0-806d-a1a9fa43ece1",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -852,7 +915,13 @@
    "cell_type": "code",
    "execution_count": 9,
    "id": "77dbdd94-e6b7-4fb9-b6b1-718633b0a38a",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -1006,22 +1075,22 @@
        "</div>"
       ],
       "text/plain": [
-       "                  pickup             dropoff  passenger_count  trip_distance   \n",
-       "5997 2019-10-23 15:55:19 2019-10-23 16:08:25                6           1.58  \\\n",
+       "                  pickup             dropoff  passenger_count  trip_distance  \\\n",
+       "5997 2019-10-23 15:55:19 2019-10-23 16:08:25                6           1.58   \n",
        "443  2019-10-23 15:56:59 2019-10-23 16:04:33                6           1.46   \n",
        "8722 2019-10-23 15:57:33 2019-10-23 16:03:34                6           0.62   \n",
        "4198 2019-10-23 15:57:38 2019-10-23 16:05:07                6           1.18   \n",
        "8238 2019-10-23 15:58:31 2019-10-23 16:29:29                6           3.23   \n",
        "\n",
-       "      payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount   \n",
-       "5997             2         10.0    1.0      0.5         0.0           0.0  \\\n",
+       "      payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount  \\\n",
+       "5997             2         10.0    1.0      0.5         0.0           0.0   \n",
        "443              2          7.5    1.0      0.5         0.0           0.0   \n",
        "8722             1          5.5    1.0      0.5         0.7           0.0   \n",
        "4198             1          7.0    1.0      0.5         1.0           0.0   \n",
        "8238             2         19.5    1.0      0.5         0.0           0.0   \n",
        "\n",
-       "      improvement_surcharge  total_amount  congestion_surcharge   \n",
-       "5997                    0.3          14.3                   2.5  \\\n",
+       "      improvement_surcharge  total_amount  congestion_surcharge  \\\n",
+       "5997                    0.3          14.3                   2.5   \n",
        "443                     0.3          11.8                   2.5   \n",
        "8722                    0.3          10.5                   2.5   \n",
        "4198                    0.3          12.3                   2.5   \n",
@@ -1048,6 +1117,7 @@
    "cell_type": "markdown",
    "id": "e8d98a7c-7f12-43b7-9450-f0c0fa3162d3",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -1061,7 +1131,13 @@
    "cell_type": "code",
    "execution_count": 10,
    "id": "e1a26519-acb9-49e5-af1c-f5b055413bf8",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -1173,18 +1249,18 @@
        "</div>"
       ],
       "text/plain": [
-       "                  pickup             dropoff  passenger_count  trip_distance   \n",
-       "7576 2019-10-23 16:52:51 2019-10-24 16:51:44                1           3.75  \\\n",
+       "                  pickup             dropoff  passenger_count  trip_distance  \\\n",
+       "7576 2019-10-23 16:52:51 2019-10-24 16:51:44                1           3.75   \n",
        "6902 2019-10-23 16:51:42 2019-10-24 16:50:22                1          11.19   \n",
        "4975 2019-10-23 16:18:51 2019-10-24 16:17:30                1           0.70   \n",
        "\n",
-       "      payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount   \n",
-       "7576             1         17.5    1.0      0.5         0.0           0.0  \\\n",
+       "      payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount  \\\n",
+       "7576             1         17.5    1.0      0.5         0.0           0.0   \n",
        "6902             2         39.5    1.0      0.5         0.0           0.0   \n",
        "4975             2          7.0    1.0      0.5         0.0           0.0   \n",
        "\n",
-       "      improvement_surcharge  total_amount  congestion_surcharge   \n",
-       "7576                    0.3          21.8                   2.5  \\\n",
+       "      improvement_surcharge  total_amount  congestion_surcharge  \\\n",
+       "7576                    0.3          21.8                   2.5   \n",
        "6902                    0.3          41.3                   0.0   \n",
        "4975                    0.3          11.3                   2.5   \n",
        "\n",
@@ -1206,7 +1282,13 @@
   {
    "cell_type": "markdown",
    "id": "fbe64c0c-41ab-4fd0-99b0-4f97790c87b8",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "### [Exercise 2.1](./workbook.ipynb#Exercise-2.1)\n",
     "\n",
@@ -1217,7 +1299,13 @@
    "cell_type": "code",
    "execution_count": 11,
    "id": "62bd241b-c87a-41e4-b87f-7a2336f4903e",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "# Complete this exercise in the workbook.ipynb file\n",
@@ -1231,6 +1319,7 @@
    "cell_type": "markdown",
    "id": "97d61c46-b1f4-4531-8a2c-0ac8fcce6007",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -1246,6 +1335,7 @@
    "cell_type": "markdown",
    "id": "cacbf64c-6356-4a2d-8a86-bd143d42914d",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -1261,7 +1351,13 @@
    "cell_type": "code",
    "execution_count": 12,
    "id": "223e2254-fef2-463f-841b-7b62e04cab4b",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -1389,27 +1485,27 @@
        "</div>"
       ],
       "text/plain": [
-       "                                dropoff  passenger_count  trip_distance   \n",
+       "                                dropoff  passenger_count  trip_distance  \\\n",
        "pickup                                                                    \n",
-       "2019-10-23 16:39:42 2019-10-23 17:14:10                1           7.93  \\\n",
+       "2019-10-23 16:39:42 2019-10-23 17:14:10                1           7.93   \n",
        "2019-10-23 16:32:08 2019-10-23 16:45:26                1           2.00   \n",
        "2019-10-23 16:08:44 2019-10-23 16:21:11                1           1.36   \n",
        "\n",
-       "                     payment_type  fare_amount  extra  mta_tax  tip_amount   \n",
+       "                     payment_type  fare_amount  extra  mta_tax  tip_amount  \\\n",
        "pickup                                                                       \n",
-       "2019-10-23 16:39:42             1         29.5    1.0      0.5        7.98  \\\n",
+       "2019-10-23 16:39:42             1         29.5    1.0      0.5        7.98   \n",
        "2019-10-23 16:32:08             1         10.5    1.0      0.5        0.00   \n",
        "2019-10-23 16:08:44             1          9.5    1.0      0.5        2.00   \n",
        "\n",
-       "                     tolls_amount  improvement_surcharge  total_amount   \n",
+       "                     tolls_amount  improvement_surcharge  total_amount  \\\n",
        "pickup                                                                   \n",
-       "2019-10-23 16:39:42          6.12                    0.3          47.9  \\\n",
+       "2019-10-23 16:39:42          6.12                    0.3          47.9   \n",
        "2019-10-23 16:32:08          0.00                    0.3          12.3   \n",
        "2019-10-23 16:08:44          0.00                    0.3          15.8   \n",
        "\n",
-       "                     congestion_surcharge    elapsed_time  cost_before_tip   \n",
+       "                     congestion_surcharge    elapsed_time  cost_before_tip  \\\n",
        "pickup                                                                       \n",
-       "2019-10-23 16:39:42                   2.5 0 days 00:34:28            39.92  \\\n",
+       "2019-10-23 16:39:42                   2.5 0 days 00:34:28            39.92   \n",
        "2019-10-23 16:32:08                   0.0 0 days 00:13:18            12.30   \n",
        "2019-10-23 16:08:44                   2.5 0 days 00:12:27            13.80   \n",
        "\n",
@@ -1434,6 +1530,7 @@
    "cell_type": "markdown",
    "id": "1e150b7a-cc6c-4b2a-a32c-13513e1fd518",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -1447,7 +1544,13 @@
    "cell_type": "code",
    "execution_count": 13,
    "id": "10477bf0-2d83-478c-8f9a-f15ba363b74c",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "taxis = taxis.sort_index()"
@@ -1457,6 +1560,7 @@
    "cell_type": "markdown",
    "id": "a1c718db-b445-4290-b5bc-6afa51e45eac",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -1470,6 +1574,7 @@
    "cell_type": "markdown",
    "id": "b44074fe-6b74-4a2d-80b0-e5ed7fc7c9f6",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -1483,7 +1588,13 @@
    "cell_type": "code",
    "execution_count": 14,
    "id": "825b2083-236c-4cfe-957d-4242619c659d",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -1611,27 +1722,27 @@
        "</div>"
       ],
       "text/plain": [
-       "                                dropoff  passenger_count  trip_distance   \n",
+       "                                dropoff  passenger_count  trip_distance  \\\n",
        "pickup                                                                    \n",
-       "2019-10-23 07:48:58 2019-10-23 07:52:09                1           0.67  \\\n",
+       "2019-10-23 07:48:58 2019-10-23 07:52:09                1           0.67   \n",
        "2019-10-23 08:02:09 2019-10-24 07:42:32                1           8.38   \n",
        "2019-10-23 08:18:47 2019-10-23 08:36:05                1           2.39   \n",
        "\n",
-       "                     payment_type  fare_amount  extra  mta_tax  tip_amount   \n",
+       "                     payment_type  fare_amount  extra  mta_tax  tip_amount  \\\n",
        "pickup                                                                       \n",
-       "2019-10-23 07:48:58             2          4.5    1.0      0.5         0.0  \\\n",
+       "2019-10-23 07:48:58             2          4.5    1.0      0.5         0.0   \n",
        "2019-10-23 08:02:09             1         32.0    1.0      0.5         5.5   \n",
        "2019-10-23 08:18:47             2         12.5    1.0      0.5         0.0   \n",
        "\n",
-       "                     tolls_amount  improvement_surcharge  total_amount   \n",
+       "                     tolls_amount  improvement_surcharge  total_amount  \\\n",
        "pickup                                                                   \n",
-       "2019-10-23 07:48:58           0.0                    0.3           8.8  \\\n",
+       "2019-10-23 07:48:58           0.0                    0.3           8.8   \n",
        "2019-10-23 08:02:09           0.0                    0.3          41.8   \n",
        "2019-10-23 08:18:47           0.0                    0.3          16.8   \n",
        "\n",
-       "                     congestion_surcharge    elapsed_time  cost_before_tip   \n",
+       "                     congestion_surcharge    elapsed_time  cost_before_tip  \\\n",
        "pickup                                                                       \n",
-       "2019-10-23 07:48:58                   2.5 0 days 00:03:11              8.8  \\\n",
+       "2019-10-23 07:48:58                   2.5 0 days 00:03:11              8.8   \n",
        "2019-10-23 08:02:09                   2.5 0 days 23:40:23             36.3   \n",
        "2019-10-23 08:18:47                   2.5 0 days 00:17:18             16.8   \n",
        "\n",
@@ -1655,6 +1766,7 @@
    "cell_type": "markdown",
    "id": "c88bc8bb-a159-4347-84f5-654315facd1e",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -1668,7 +1780,13 @@
    "cell_type": "code",
    "execution_count": 15,
    "id": "fef82610-a9ca-47f3-b8f9-fca6cb8215c6",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -1776,24 +1894,24 @@
        "</div>"
       ],
       "text/plain": [
-       "                                dropoff  passenger_count  trip_distance   \n",
+       "                                dropoff  passenger_count  trip_distance  \\\n",
        "pickup                                                                    \n",
-       "2019-10-23 08:02:09 2019-10-24 07:42:32                1           8.38  \\\n",
+       "2019-10-23 08:02:09 2019-10-24 07:42:32                1           8.38   \n",
        "2019-10-23 08:18:47 2019-10-23 08:36:05                1           2.39   \n",
        "\n",
-       "                     payment_type  fare_amount  extra  mta_tax  tip_amount   \n",
+       "                     payment_type  fare_amount  extra  mta_tax  tip_amount  \\\n",
        "pickup                                                                       \n",
-       "2019-10-23 08:02:09             1         32.0    1.0      0.5         5.5  \\\n",
+       "2019-10-23 08:02:09             1         32.0    1.0      0.5         5.5   \n",
        "2019-10-23 08:18:47             2         12.5    1.0      0.5         0.0   \n",
        "\n",
-       "                     tolls_amount  improvement_surcharge  total_amount   \n",
+       "                     tolls_amount  improvement_surcharge  total_amount  \\\n",
        "pickup                                                                   \n",
-       "2019-10-23 08:02:09           0.0                    0.3          41.8  \\\n",
+       "2019-10-23 08:02:09           0.0                    0.3          41.8   \n",
        "2019-10-23 08:18:47           0.0                    0.3          16.8   \n",
        "\n",
-       "                     congestion_surcharge    elapsed_time  cost_before_tip   \n",
+       "                     congestion_surcharge    elapsed_time  cost_before_tip  \\\n",
        "pickup                                                                       \n",
-       "2019-10-23 08:02:09                   2.5 0 days 23:40:23             36.3  \\\n",
+       "2019-10-23 08:02:09                   2.5 0 days 23:40:23             36.3   \n",
        "2019-10-23 08:18:47                   2.5 0 days 00:17:18             16.8   \n",
        "\n",
        "                      tip_pct  fees  avg_speed  \n",
@@ -1815,6 +1933,7 @@
    "cell_type": "markdown",
    "id": "0684e96e-6c5e-4405-8103-92ae722d9c3e",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -1830,7 +1949,13 @@
    "cell_type": "code",
    "execution_count": 16,
    "id": "18a6c75b-fa89-4602-b9df-e18ea51d73b6",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -1984,22 +2109,22 @@
        "</div>"
       ],
       "text/plain": [
-       "               pickup             dropoff  passenger_count  trip_distance   \n",
-       "0 2019-10-23 07:05:34 2019-10-23 08:03:16                3          14.68  \\\n",
+       "               pickup             dropoff  passenger_count  trip_distance  \\\n",
+       "0 2019-10-23 07:05:34 2019-10-23 08:03:16                3          14.68   \n",
        "1 2019-10-23 07:48:58 2019-10-23 07:52:09                1           0.67   \n",
        "2 2019-10-23 08:02:09 2019-10-24 07:42:32                1           8.38   \n",
        "3 2019-10-23 08:18:47 2019-10-23 08:36:05                1           2.39   \n",
        "4 2019-10-23 09:27:16 2019-10-23 09:33:13                2           1.11   \n",
        "\n",
-       "   payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount   \n",
-       "0             1         50.0    1.0      0.5         4.0           0.0  \\\n",
+       "   payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount  \\\n",
+       "0             1         50.0    1.0      0.5         4.0           0.0   \n",
        "1             2          4.5    1.0      0.5         0.0           0.0   \n",
        "2             1         32.0    1.0      0.5         5.5           0.0   \n",
        "3             2         12.5    1.0      0.5         0.0           0.0   \n",
        "4             2          6.0    1.0      0.5         0.0           0.0   \n",
        "\n",
-       "   improvement_surcharge  total_amount  congestion_surcharge    elapsed_time   \n",
-       "0                    0.3          55.8                   0.0 0 days 00:57:42  \\\n",
+       "   improvement_surcharge  total_amount  congestion_surcharge    elapsed_time  \\\n",
+       "0                    0.3          55.8                   0.0 0 days 00:57:42   \n",
        "1                    0.3           8.8                   2.5 0 days 00:03:11   \n",
        "2                    0.3          41.8                   2.5 0 days 23:40:23   \n",
        "3                    0.3          16.8                   2.5 0 days 00:17:18   \n",
@@ -2026,7 +2151,13 @@
   {
    "cell_type": "markdown",
    "id": "569bcb48-b6bb-4e6c-9cc2-bc352047fb3e",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "### [Exercise 2.2](./workbook.ipynb#Exercise-2.2)\n",
     "\n",
@@ -2043,7 +2174,13 @@
    "cell_type": "code",
    "execution_count": 17,
    "id": "ef0097f4-18cb-4778-9118-cf89a39d9447",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "# Complete this exercise in the workbook.ipynb file"
@@ -2053,7 +2190,13 @@
    "cell_type": "code",
    "execution_count": 18,
    "id": "d0c55eab-4901-4b05-9bf5-c2c0f6e1bda4",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "# Click on `Exercise 2.2` above to open the workbook.ipynb file"
@@ -2063,7 +2206,13 @@
    "cell_type": "code",
    "execution_count": 19,
    "id": "c06312d7-838d-45c0-b093-f263ae3f9290",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "# WARNING: if you complete the exercise here, your cell numbers\n",
@@ -2074,6 +2223,7 @@
    "cell_type": "markdown",
    "id": "25a31c80-88f8-4f4d-9192-80a7bf7e9689",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -2090,6 +2240,7 @@
    "execution_count": 20,
    "id": "f9fc17ff-40a4-4e01-b56a-fea6ed3ca471",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -2164,8 +2315,8 @@
        "</div>"
       ],
       "text/plain": [
-       "        Date  2021 Traveler Throughput  2020 Traveler Throughput   \n",
-       "0 2021-05-14                 1716561.0                    250467  \\\n",
+       "        Date  2021 Traveler Throughput  2020 Traveler Throughput  \\\n",
+       "0 2021-05-14                 1716561.0                    250467   \n",
        "1 2021-05-13                 1743515.0                    234928   \n",
        "2 2021-05-12                 1424664.0                    176667   \n",
        "3 2021-05-11                 1315493.0                    163205   \n",
@@ -2192,7 +2343,13 @@
   {
    "cell_type": "markdown",
    "id": "43a2f0b0-affe-4ec4-906c-26401b750dc0",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "*Source: [TSA.gov](https://www.tsa.gov/coronavirus/passenger-throughput)*"
    ]
@@ -2201,6 +2358,7 @@
    "cell_type": "markdown",
    "id": "71419100-c9d2-4e8d-a0e3-440d0d9ebded",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -2214,7 +2372,13 @@
    "cell_type": "code",
    "execution_count": 21,
    "id": "cdaa7ddd-57f4-41ca-b8ff-24d93d44f0b5",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -2306,19 +2470,232 @@
    "cell_type": "markdown",
    "id": "2a39b842-3f40-4951-9a38-7dfd492ef608",
    "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "fragment"
+    },
+    "tags": []
+   },
+   "source": [
+    "Now, we can work on reshaping it into two columns: the date and the traveler throughput from 2019 through 2021."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4315fa3f-9279-439b-ad38-5c2b4d80db6e",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "subslide"
+    },
+    "tags": []
+   },
+   "source": [
+    "Starting with the long-format data below, we want to **melt** it into wide-format data so that we can look at the evolution of the throughput over time:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "10b770ab-a7d0-4978-a684-3d9a6901c00d",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "#T_15f75_row0_col1, #T_15f75_row1_col1 {\n",
+       "  background-color: pink;\n",
+       "}\n",
+       "#T_15f75_row0_col2, #T_15f75_row1_col2 {\n",
+       "  background-color: skyblue;\n",
+       "}\n",
+       "#T_15f75_row0_col3, #T_15f75_row1_col3 {\n",
+       "  background-color: lightgreen;\n",
+       "}\n",
+       "#T_15f75_level0_col1 {\n",
+       "  background-color: pink;\n",
+       "}\n",
+       "#T_15f75_level0_col2 {\n",
+       "  background-color: skyblue;\n",
+       "}\n",
+       "#T_15f75_level0_col3 {\n",
+       "  background-color: lightgreen;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_15f75\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_15f75_level0_col0\" class=\"col_heading level0 col0\" >date</th>\n",
+       "      <th id=\"T_15f75_level0_col1\" class=\"col_heading level0 col1\" >2021</th>\n",
+       "      <th id=\"T_15f75_level0_col2\" class=\"col_heading level0 col2\" >2020</th>\n",
+       "      <th id=\"T_15f75_level0_col3\" class=\"col_heading level0 col3\" >2019</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_15f75_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+       "      <td id=\"T_15f75_row0_col0\" class=\"data row0 col0\" >2021-05-14 00:00:00</td>\n",
+       "      <td id=\"T_15f75_row0_col1\" class=\"data row0 col1\" >1716561.000000</td>\n",
+       "      <td id=\"T_15f75_row0_col2\" class=\"data row0 col2\" >250467</td>\n",
+       "      <td id=\"T_15f75_row0_col3\" class=\"data row0 col3\" >2664549</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_15f75_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+       "      <td id=\"T_15f75_row1_col0\" class=\"data row1 col0\" >2021-05-13 00:00:00</td>\n",
+       "      <td id=\"T_15f75_row1_col1\" class=\"data row1 col1\" >1743515.000000</td>\n",
+       "      <td id=\"T_15f75_row1_col2\" class=\"data row1 col2\" >234928</td>\n",
+       "      <td id=\"T_15f75_row1_col3\" class=\"data row1 col3\" >2611324</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x11a5b8560>"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from utils import highlight_long_format\n",
+    "\n",
+    "colors = {'2021': 'pink', '2020': 'skyblue', '2019': 'lightgreen'}\n",
+    "highlight_long_format(tsa.head(2), colors)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "163e0e33-52a0-46f3-baf1-8200aa8fb832",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "fragment"
+    },
+    "tags": []
+   },
+   "source": [
+    "Note that the two rows above contain the same data as the six rows below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "21cc40ea-52f3-4f89-af0c-58643786641b",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "#T_22a0d_row0_col1, #T_22a0d_row0_col2, #T_22a0d_row1_col1, #T_22a0d_row1_col2 {\n",
+       "  background-color: pink;\n",
+       "}\n",
+       "#T_22a0d_row2_col1, #T_22a0d_row2_col2, #T_22a0d_row3_col1, #T_22a0d_row3_col2 {\n",
+       "  background-color: skyblue;\n",
+       "}\n",
+       "#T_22a0d_row4_col1, #T_22a0d_row4_col2, #T_22a0d_row5_col1, #T_22a0d_row5_col2 {\n",
+       "  background-color: lightgreen;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_22a0d\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_22a0d_level0_col0\" class=\"col_heading level0 col0\" >date</th>\n",
+       "      <th id=\"T_22a0d_level0_col1\" class=\"col_heading level0 col1\" >year</th>\n",
+       "      <th id=\"T_22a0d_level0_col2\" class=\"col_heading level0 col2\" >travelers</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_22a0d_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+       "      <td id=\"T_22a0d_row0_col0\" class=\"data row0 col0\" >2021-05-14 00:00:00</td>\n",
+       "      <td id=\"T_22a0d_row0_col1\" class=\"data row0 col1\" >2021</td>\n",
+       "      <td id=\"T_22a0d_row0_col2\" class=\"data row0 col2\" >1716561.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_22a0d_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+       "      <td id=\"T_22a0d_row1_col0\" class=\"data row1 col0\" >2021-05-13 00:00:00</td>\n",
+       "      <td id=\"T_22a0d_row1_col1\" class=\"data row1 col1\" >2021</td>\n",
+       "      <td id=\"T_22a0d_row1_col2\" class=\"data row1 col2\" >1743515.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_22a0d_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+       "      <td id=\"T_22a0d_row2_col0\" class=\"data row2 col0\" >2020-05-14 00:00:00</td>\n",
+       "      <td id=\"T_22a0d_row2_col1\" class=\"data row2 col1\" >2020</td>\n",
+       "      <td id=\"T_22a0d_row2_col2\" class=\"data row2 col2\" >250467.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_22a0d_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
+       "      <td id=\"T_22a0d_row3_col0\" class=\"data row3 col0\" >2020-05-13 00:00:00</td>\n",
+       "      <td id=\"T_22a0d_row3_col1\" class=\"data row3 col1\" >2020</td>\n",
+       "      <td id=\"T_22a0d_row3_col2\" class=\"data row3 col2\" >234928.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_22a0d_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
+       "      <td id=\"T_22a0d_row4_col0\" class=\"data row4 col0\" >2019-05-14 00:00:00</td>\n",
+       "      <td id=\"T_22a0d_row4_col1\" class=\"data row4 col1\" >2019</td>\n",
+       "      <td id=\"T_22a0d_row4_col2\" class=\"data row4 col2\" >2664549.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_22a0d_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
+       "      <td id=\"T_22a0d_row5_col0\" class=\"data row5 col0\" >2019-05-13 00:00:00</td>\n",
+       "      <td id=\"T_22a0d_row5_col1\" class=\"data row5 col1\" >2019</td>\n",
+       "      <td id=\"T_22a0d_row5_col2\" class=\"data row5 col2\" >2611324.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x12ac74b00>"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from utils import highlight_wide_format\n",
+    "\n",
+    "highlight_wide_format(tsa.head(2), colors)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "425ddfa0-fd95-4e44-b886-42c59fc4249b",
+   "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
     "tags": []
    },
    "source": [
-    "Now, we can work on reshaping it."
+    "Let's work on making this transformation."
    ]
   },
   {
    "cell_type": "markdown",
    "id": "fc0b0c08-5cb6-4523-9dcc-4ea9a7e2607f",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -2332,9 +2709,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 24,
    "id": "ebcfe696-5e4c-49e9-b281-1b7722cad24b",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -2406,7 +2789,7 @@
        "867  2020-12-28  2019  2500396.0"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2424,6 +2807,7 @@
    "cell_type": "markdown",
    "id": "91ad2a4f-fd5f-4de6-b974-e37e6119b1f7",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -2435,9 +2819,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 25,
    "id": "7ad04dde-d03b-4a32-9a47-6b1a388a8169",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -2509,7 +2899,7 @@
        "867  2019-12-28  2019  2500396.0"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2525,6 +2915,7 @@
    "cell_type": "markdown",
    "id": "28a312aa-f671-4df7-8e09-ea65ba7d6d70",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -2536,13 +2927,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 26,
    "id": "8f415932-fe42-4e11-a8ac-521c7612147e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
        "<div>\n",
        "<style scoped>\n",
        "    .dataframe tbody tr th:only-of-type {\n",
@@ -2596,7 +2993,7 @@
        "134 2021-12-31  2021        NaN"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2609,6 +3006,7 @@
    "cell_type": "markdown",
    "id": "323970e9-0e9c-46f1-8910-a630fbd4d1b3",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -2620,9 +3018,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 27,
    "id": "c0ed0555-2467-4966-9cfb-31ff5982c0bb",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -2680,7 +3084,7 @@
        "0 2021-05-14  2021  1716561.0"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2694,6 +3098,7 @@
    "cell_type": "markdown",
    "id": "6a77b4fc-265e-42d8-ae27-689e3f7f8dc6",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -2707,9 +3112,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 28,
    "id": "5deb2bd9-e4eb-4775-bbf1-b483c56edf16",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -2802,9 +3213,9 @@
        "</div>"
       ],
       "text/plain": [
-       "day_in_march         1          2          3          4          5    \n",
+       "day_in_march         1          2          3          4          5   \\\n",
        "year                                                                  \n",
-       "2019          2257920.0  1979558.0  2143619.0  2402692.0  2543689.0  \\\n",
+       "2019          2257920.0  1979558.0  2143619.0  2402692.0  2543689.0   \n",
        "2020          2089641.0  1736393.0  1877401.0  2130015.0  2198517.0   \n",
        "2021          1049692.0   744812.0   826924.0  1107534.0  1168734.0   \n",
        "\n",
@@ -2815,7 +3226,7 @@
        "2021           992406.0  1278557.0  1119303.0   825745.0   974221.0  "
       ]
      },
-     "execution_count": 26,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2832,6 +3243,7 @@
    "cell_type": "markdown",
    "id": "370ed66f-5b39-4adf-ae0d-651c4ae1981b",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -2845,6 +3257,7 @@
    "cell_type": "markdown",
    "id": "e292be99-e3d6-403c-abce-56efa8b1948d",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -2858,9 +3271,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 29,
    "id": "c8a7bb2d-77c0-461b-9963-224b5bd633d2",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -2974,7 +3393,7 @@
        "10            2187298.0  1702686.0   974221.0"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2987,6 +3406,7 @@
    "cell_type": "markdown",
    "id": "65da6408-d946-4420-8fec-327094bf46e9",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -3000,9 +3420,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 30,
    "id": "df6a13e1-af80-4d5e-9aa6-24495d7197cd",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -3082,7 +3508,7 @@
        "2019-12-31  New Year's Eve"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3096,6 +3522,7 @@
    "cell_type": "markdown",
    "id": "a0832a27-605c-48bd-b564-0901c2796b90",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -3107,9 +3534,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 31,
    "id": "367b9ccb-04f6-4400-88b2-ce548990bb6f",
    "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
     "tags": []
    },
    "outputs": [
@@ -3189,7 +3620,7 @@
        "859 2019-01-05  2019  1975947.0             NaN"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3205,6 +3636,7 @@
    "cell_type": "markdown",
    "id": "29efc7c8-f2c6-4a28-a36f-25e9da612d14",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -3218,6 +3650,7 @@
    "cell_type": "markdown",
    "id": "6d79f677-5759-4790-9004-cb1a6361a0a8",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -3229,16 +3662,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 32,
    "id": "a589df8f-5870-41ea-b4c1-e413fa76ad31",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "tsa_melted_holiday_travel = tsa_melted_holidays.assign(\n",
     "    holiday=lambda x:\n",
     "        x.holiday\\\n",
-    "            .fillna(method='ffill', limit=1)\\\n",
-    "            .fillna(method='bfill', limit=2)\n",
+    "            .ffill(limit=1)\\\n",
+    "            .bfill(limit=2)\n",
     ")"
    ]
   },
@@ -3246,19 +3685,21 @@
    "cell_type": "markdown",
    "id": "eb5a331c-143a-4b3e-bb90-9d948da4d148",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
     "tags": []
    },
    "source": [
-    "*Tip: Check out the [documentation](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.fillna.html) for the full list of functionality available with the `fillna()` method.*"
+    "*Tip: Check out the [`fillna()` method documentation](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.fillna.html) for additional functionality for replacing `NA`/`NaN` values.*"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "1c86a8f0-124b-4837-9c09-21923fbcb926",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -3270,9 +3711,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 33,
    "id": "c895269f-37b5-4246-974a-d8a91730f346",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -3382,7 +3829,7 @@
        "869 2019-12-26  2019  2470786.0  Christmas Day"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3398,6 +3845,7 @@
    "cell_type": "markdown",
    "id": "84597dd2-780e-451c-8263-c02fdadb857b",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -3413,6 +3861,7 @@
    "cell_type": "markdown",
    "id": "350010f2-30ac-4167-8aa6-41e71933ef74",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -3425,9 +3874,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 34,
    "id": "944749f0-d9e1-4a6e-ad15-c8f33e737080",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -3510,9 +3965,9 @@
        "</div>"
       ],
       "text/plain": [
-       "holiday  Christmas Day  Christmas Eve   July 4th  Labor Day  Memorial Day   \n",
+       "holiday  Christmas Day  Christmas Eve   July 4th  Labor Day  Memorial Day  \\\n",
        "year                                                                        \n",
-       "2019         5053366.0      6470862.0  9414228.0  8314811.0     9720691.0  \\\n",
+       "2019         5053366.0      6470862.0  9414228.0  8314811.0     9720691.0   \n",
        "2020         1745242.0      3029810.0  2682541.0  2993653.0     1126253.0   \n",
        "2021               NaN            NaN        NaN        NaN           NaN   \n",
        "\n",
@@ -3523,7 +3978,7 @@
        "2021          1998871.0             NaN           NaN  "
       ]
      },
-     "execution_count": 32,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3539,6 +3994,7 @@
    "cell_type": "markdown",
    "id": "9a189e47-9347-4922-a345-471206d8192c",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -3550,9 +4006,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 35,
    "id": "ad480312-626f-401b-93d3-0ffd6a6392bb",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -3621,34 +4083,34 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2021</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>-0.554856</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "holiday  Christmas Day  Christmas Eve  July 4th  Labor Day  Memorial Day   \n",
+       "holiday  Christmas Day  Christmas Eve  July 4th  Labor Day  Memorial Day  \\\n",
        "year                                                                       \n",
-       "2019               NaN            NaN       NaN        NaN           NaN  \\\n",
+       "2019               NaN            NaN       NaN        NaN           NaN   \n",
        "2020         -0.654638      -0.531776 -0.715055  -0.639961     -0.884139   \n",
-       "2021          0.000000       0.000000  0.000000   0.000000      0.000000   \n",
+       "2021               NaN            NaN       NaN        NaN           NaN   \n",
        "\n",
        "holiday  New Year's Day  New Year's Eve  Thanksgiving  \n",
        "year                                                   \n",
        "2019                NaN             NaN           NaN  \n",
        "2020           0.004224       -0.532176     -0.629903  \n",
-       "2021          -0.554856        0.000000      0.000000  "
+       "2021          -0.554856             NaN           NaN  "
       ]
      },
-     "execution_count": 33,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3657,13 +4119,14 @@
     "tsa_melted_holiday_travel.pivot_table(\n",
     "    index='year', columns='holiday', \n",
     "    values='travelers', aggfunc='sum'\n",
-    ").pct_change()"
+    ").pct_change(fill_method=None)"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "30a2f712-13e2-4f84-a6aa-d234b8d65dff",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -3675,9 +4138,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 36,
    "id": "33a98f21-ea62-432c-8f7f-ee0d542b155b",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "pd.set_option('display.float_format', '{:,.0f}'.format)"
@@ -3687,6 +4156,7 @@
    "cell_type": "markdown",
    "id": "d5ccd3b9-2179-45ac-85a2-6b57f220b1ed",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -3698,9 +4168,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 37,
    "id": "98ab467c-f26d-436d-9f73-7ea35fc5fa86",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -3788,9 +4264,9 @@
        "</div>"
       ],
       "text/plain": [
-       "holiday  Christmas   July 4th  Labor Day  Memorial Day  New Year's   \n",
+       "holiday  Christmas   July 4th  Labor Day  Memorial Day  New Year's  \\\n",
        "year                                                                 \n",
-       "2019    11,524,228  9,414,228  8,314,811     9,720,691  11,006,965  \\\n",
+       "2019    11,524,228  9,414,228  8,314,811     9,720,691  11,006,965   \n",
        "2020     4,775,052  2,682,541  2,993,653     1,126,253   7,547,837   \n",
        "2021           NaN        NaN        NaN           NaN   1,998,871   \n",
        "Total   16,299,280 12,096,769 11,308,464    10,846,944  20,553,673   \n",
@@ -3803,7 +4279,7 @@
        "Total      12,454,836 83,559,966  "
       ]
      },
-     "execution_count": 35,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3828,6 +4304,7 @@
    "cell_type": "markdown",
    "id": "145150cd-3fde-48c1-87d4-857c858d8494",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -3839,9 +4316,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 38,
    "id": "55e95c66-fb5b-4ee2-a1ce-8ead82a2715a",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "pd.reset_option('display.float_format')"
@@ -3851,6 +4334,7 @@
    "cell_type": "markdown",
    "id": "fa6dc364-f48f-482b-86be-152d6d16961f",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -3863,7 +4347,13 @@
   {
    "cell_type": "markdown",
    "id": "87b782d9-3404-4e68-b0eb-cdc201393cb3",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "### [Exercise 2.3](./workbook.ipynb#Exercise-2.3)\n",
     "\n",
@@ -3872,9 +4362,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 39,
    "id": "86157a08-5379-4ffd-af34-da2ef32a2633",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "# Complete this exercise in the workbook.ipynb file\n",
@@ -3888,6 +4384,7 @@
    "cell_type": "markdown",
    "id": "2d988e70-5547-4a15-ab6c-b0eade8fb8b9",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -3900,9 +4397,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 40,
    "id": "27d17ef2-b8be-43df-aab8-a2d7f5d228f5",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -3967,7 +4470,7 @@
        "high            323    44     0"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3987,6 +4490,7 @@
    "cell_type": "markdown",
    "id": "7aceb604-c3e9-4b1a-b62d-ada3f86ad897",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -4000,6 +4504,7 @@
    "cell_type": "markdown",
    "id": "cb00efed-de93-4adf-92b2-4d88ae07565e",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -4013,6 +4518,7 @@
    "cell_type": "markdown",
    "id": "08c2a7b6-7e1d-4c91-9360-888335dc26df",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -4025,9 +4531,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 41,
    "id": "638ecd3d-48e9-4fea-96eb-1a6be49bb43d",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -4118,10 +4630,10 @@
        "</div>"
       ],
       "text/plain": [
-       "     travelers                                                                 \n",
+       "     travelers                                                                \\\n",
        "         count          mean            std        min        25%        50%   \n",
        "year                                                                           \n",
-       "2019     365.0  2.309482e+06  285061.490784  1534386.0  2091116.0  2358007.0  \\\n",
+       "2019     365.0  2.309482e+06  285061.490784  1534386.0  2091116.0  2358007.0   \n",
        "2020     365.0  8.818674e+05  639775.194297    87534.0   507129.0   718310.0   \n",
        "2021     134.0  1.112632e+06  338040.673782   468933.0   807156.0  1117391.0   \n",
        "\n",
@@ -4133,7 +4645,7 @@
        "2021  1409377.75  1743515.0  "
       ]
      },
-     "execution_count": 39,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4146,6 +4658,7 @@
    "cell_type": "markdown",
    "id": "72053860-fe4d-4e16-971c-91dedd14f522",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -4157,9 +4670,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 42,
    "id": "7c5f7495-7d00-4b7b-a3b6-76c1f47457c4",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -4225,7 +4744,7 @@
        "1   2021-05-13  2021  1743515.0           NaN                 1.0"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4240,6 +4759,7 @@
    "cell_type": "markdown",
    "id": "bc57c29a-cd58-4ff5-9c69-9e8f68b05168",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -4251,9 +4771,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 43,
    "id": "ce014d66-ba8b-4537-b8f1-9548dccab5b9",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -4336,10 +4862,10 @@
        "</div>"
       ],
       "text/plain": [
-       "         travelers                holiday_travelers                  \n",
+       "         travelers                holiday_travelers                 \\\n",
        "              mean            std              mean            std   \n",
        "year                                                                 \n",
-       "2019  2.309482e+06  285061.490784      2.271977e+06  303021.675751  \\\n",
+       "2019  2.309482e+06  285061.490784      2.271977e+06  303021.675751   \n",
        "2020  8.818674e+05  639775.194297      8.649882e+05  489938.240989   \n",
        "2021  1.112632e+06  338040.673782      9.994355e+05  273573.249680   \n",
        "\n",
@@ -4351,7 +4877,7 @@
        "2021          1.114347e+06  339479.298658  "
       ]
      },
-     "execution_count": 41,
+     "execution_count": 43,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4368,6 +4894,7 @@
    "cell_type": "markdown",
    "id": "f7484d71-3091-4d8f-9e2d-53b07871ebaf",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -4381,6 +4908,7 @@
    "cell_type": "markdown",
    "id": "7f012232-0ac4-48ce-9ae3-ed936657ef24",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -4392,9 +4920,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 44,
    "id": "3080e40b-4ac7-4395-a76e-e773d16901fc",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -4474,7 +5008,7 @@
        "2021      9.994355e+05  273573.249680       1     2"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4493,6 +5027,7 @@
    "cell_type": "markdown",
    "id": "73fc6c25-387e-4ff6-aaa0-7e212f766c2e",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -4510,6 +5045,7 @@
    "cell_type": "markdown",
    "id": "fd7409b7-6eec-4ed0-8a09-c8b6333ef75d",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -4522,7 +5058,13 @@
   {
    "cell_type": "markdown",
    "id": "f35e0f4b-916e-4a99-ba99-4d4a02d4d884",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "### [Exercise 2.4](./workbook.ipynb#Exercise-2.4)\n",
     "\n",
@@ -4531,9 +5073,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 45,
    "id": "32e4f6ff-a57c-4d50-9911-fd74b4522125",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "# Complete this exercise in the workbook.ipynb file\n",
@@ -4547,6 +5095,7 @@
    "cell_type": "markdown",
    "id": "6f39b28e-9c9b-4b97-93be-41ade4dcd8f8",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -4562,6 +5111,7 @@
    "cell_type": "markdown",
    "id": "1bb690d8-a77e-4dd7-a8ac-4a4fcfc3a156",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -4575,9 +5125,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 46,
    "id": "e1556b7a-ccde-432b-81a9-8b2c80b67d68",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "taxis = taxis.set_index('dropoff').sort_index()"
@@ -4587,6 +5143,7 @@
    "cell_type": "markdown",
    "id": "ef86c832-5ed4-4a86-8a84-93fb179b9df4",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -4598,169 +5155,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 47,
    "id": "f41a0a74-0bc8-4649-8b86-f44cdfb1062a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>pickup</th>\n",
-       "      <th>passenger_count</th>\n",
-       "      <th>trip_distance</th>\n",
-       "      <th>payment_type</th>\n",
-       "      <th>fare_amount</th>\n",
-       "      <th>extra</th>\n",
-       "      <th>mta_tax</th>\n",
-       "      <th>tip_amount</th>\n",
-       "      <th>tolls_amount</th>\n",
-       "      <th>improvement_surcharge</th>\n",
-       "      <th>total_amount</th>\n",
-       "      <th>congestion_surcharge</th>\n",
-       "      <th>elapsed_time</th>\n",
-       "      <th>cost_before_tip</th>\n",
-       "      <th>tip_pct</th>\n",
-       "      <th>fees</th>\n",
-       "      <th>avg_speed</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>dropoff</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2019-10-24 12:30:08</th>\n",
-       "      <td>2019-10-23 13:25:42</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0.76</td>\n",
-       "      <td>2</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.5</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.3</td>\n",
-       "      <td>9.30</td>\n",
-       "      <td>2.5</td>\n",
-       "      <td>0 days 23:04:26</td>\n",
-       "      <td>9.3</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>4.3</td>\n",
-       "      <td>0.032938</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2019-10-24 12:42:01</th>\n",
-       "      <td>2019-10-23 13:34:03</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1.58</td>\n",
-       "      <td>1</td>\n",
-       "      <td>7.5</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.5</td>\n",
-       "      <td>2.36</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.3</td>\n",
-       "      <td>14.16</td>\n",
-       "      <td>2.5</td>\n",
-       "      <td>0 days 23:07:58</td>\n",
-       "      <td>11.8</td>\n",
-       "      <td>0.2</td>\n",
-       "      <td>4.3</td>\n",
-       "      <td>0.068301</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                 pickup  passenger_count  trip_distance   \n",
-       "dropoff                                                                   \n",
-       "2019-10-24 12:30:08 2019-10-23 13:25:42                4           0.76  \\\n",
-       "2019-10-24 12:42:01 2019-10-23 13:34:03                2           1.58   \n",
-       "\n",
-       "                     payment_type  fare_amount  extra  mta_tax  tip_amount   \n",
-       "dropoff                                                                      \n",
-       "2019-10-24 12:30:08             2          5.0    1.0      0.5        0.00  \\\n",
-       "2019-10-24 12:42:01             1          7.5    1.0      0.5        2.36   \n",
-       "\n",
-       "                     tolls_amount  improvement_surcharge  total_amount   \n",
-       "dropoff                                                                  \n",
-       "2019-10-24 12:30:08           0.0                    0.3          9.30  \\\n",
-       "2019-10-24 12:42:01           0.0                    0.3         14.16   \n",
-       "\n",
-       "                     congestion_surcharge    elapsed_time  cost_before_tip   \n",
-       "dropoff                                                                      \n",
-       "2019-10-24 12:30:08                   2.5 0 days 23:04:26              9.3  \\\n",
-       "2019-10-24 12:42:01                   2.5 0 days 23:07:58             11.8   \n",
-       "\n",
-       "                     tip_pct  fees  avg_speed  \n",
-       "dropoff                                        \n",
-       "2019-10-24 12:30:08      0.0   4.3   0.032938  \n",
-       "2019-10-24 12:42:01      0.2   4.3   0.068301  "
-      ]
-     },
-     "execution_count": 45,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "taxis['2019-10-24 12':'2019-10-24 13']"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c286a4f6-54fc-409d-b10a-8f6ac2734347",
    "metadata": {
+    "editable": true,
     "slideshow": {
-     "slide_type": "subslide"
+     "slide_type": ""
     },
     "tags": []
    },
-   "source": [
-    "We can also represent this range with shorthand. Note that we must use `loc[]` here:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "id": "9e6b26c9-4048-4207-8454-b9f018a56816",
-   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4868,24 +5271,24 @@
        "</div>"
       ],
       "text/plain": [
-       "                                 pickup  passenger_count  trip_distance   \n",
+       "                                 pickup  passenger_count  trip_distance  \\\n",
        "dropoff                                                                   \n",
-       "2019-10-24 12:30:08 2019-10-23 13:25:42                4           0.76  \\\n",
+       "2019-10-24 12:30:08 2019-10-23 13:25:42                4           0.76   \n",
        "2019-10-24 12:42:01 2019-10-23 13:34:03                2           1.58   \n",
        "\n",
-       "                     payment_type  fare_amount  extra  mta_tax  tip_amount   \n",
+       "                     payment_type  fare_amount  extra  mta_tax  tip_amount  \\\n",
        "dropoff                                                                      \n",
-       "2019-10-24 12:30:08             2          5.0    1.0      0.5        0.00  \\\n",
+       "2019-10-24 12:30:08             2          5.0    1.0      0.5        0.00   \n",
        "2019-10-24 12:42:01             1          7.5    1.0      0.5        2.36   \n",
        "\n",
-       "                     tolls_amount  improvement_surcharge  total_amount   \n",
+       "                     tolls_amount  improvement_surcharge  total_amount  \\\n",
        "dropoff                                                                  \n",
-       "2019-10-24 12:30:08           0.0                    0.3          9.30  \\\n",
+       "2019-10-24 12:30:08           0.0                    0.3          9.30   \n",
        "2019-10-24 12:42:01           0.0                    0.3         14.16   \n",
        "\n",
-       "                     congestion_surcharge    elapsed_time  cost_before_tip   \n",
+       "                     congestion_surcharge    elapsed_time  cost_before_tip  \\\n",
        "dropoff                                                                      \n",
-       "2019-10-24 12:30:08                   2.5 0 days 23:04:26              9.3  \\\n",
+       "2019-10-24 12:30:08                   2.5 0 days 23:04:26              9.3   \n",
        "2019-10-24 12:42:01                   2.5 0 days 23:07:58             11.8   \n",
        "\n",
        "                     tip_pct  fees  avg_speed  \n",
@@ -4894,46 +5297,40 @@
        "2019-10-24 12:42:01      0.2   4.3   0.068301  "
       ]
      },
-     "execution_count": 46,
+     "execution_count": 47,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "taxis.loc['2019-10-24 12']"
+    "taxis['2019-10-24 12':'2019-10-24 13']"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "8705d663-67c8-4f6f-b3e9-52bceeea122f",
+   "id": "c286a4f6-54fc-409d-b10a-8f6ac2734347",
    "metadata": {
+    "editable": true,
     "slideshow": {
-     "slide_type": "fragment"
+     "slide_type": "subslide"
     },
     "tags": []
    },
    "source": [
-    "However, if we want to look at this time range across days, we need another strategy."
+    "We can also represent this range with shorthand. Note that we must use `loc[]` here:"
    ]
   },
   {
-   "cell_type": "markdown",
-   "id": "78093e7d-ce53-424b-b484-820c4d98ace0",
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "9e6b26c9-4048-4207-8454-b9f018a56816",
    "metadata": {
+    "editable": true,
     "slideshow": {
-     "slide_type": "subslide"
+     "slide_type": ""
     },
     "tags": []
    },
-   "source": [
-    "We can pull out the dropoffs that happened between a certain time range on *any* day with the `between_time()` method:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "id": "915f528c-639f-4b8b-99cc-9c83bb0cad4d",
-   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4997,26 +5394,6 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2019-10-23 12:53:49</th>\n",
-       "      <td>2019-10-23 12:35:27</td>\n",
-       "      <td>5</td>\n",
-       "      <td>2.49</td>\n",
-       "      <td>1</td>\n",
-       "      <td>13.5</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.5</td>\n",
-       "      <td>2.20</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.3</td>\n",
-       "      <td>20.00</td>\n",
-       "      <td>2.5</td>\n",
-       "      <td>0 days 00:18:22</td>\n",
-       "      <td>17.8</td>\n",
-       "      <td>0.123596</td>\n",
-       "      <td>4.3</td>\n",
-       "      <td>8.134301</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
        "      <th>2019-10-24 12:30:08</th>\n",
        "      <td>2019-10-23 13:25:42</td>\n",
        "      <td>4</td>\n",
@@ -5032,7 +5409,7 @@
        "      <td>2.5</td>\n",
        "      <td>0 days 23:04:26</td>\n",
        "      <td>9.3</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>4.3</td>\n",
        "      <td>0.032938</td>\n",
        "    </tr>\n",
@@ -5052,7 +5429,7 @@
        "      <td>2.5</td>\n",
        "      <td>0 days 23:07:58</td>\n",
        "      <td>11.8</td>\n",
-       "      <td>0.200000</td>\n",
+       "      <td>0.2</td>\n",
        "      <td>4.3</td>\n",
        "      <td>0.068301</td>\n",
        "    </tr>\n",
@@ -5061,77 +5438,80 @@
        "</div>"
       ],
       "text/plain": [
-       "                                 pickup  passenger_count  trip_distance   \n",
+       "                                 pickup  passenger_count  trip_distance  \\\n",
        "dropoff                                                                   \n",
-       "2019-10-23 12:53:49 2019-10-23 12:35:27                5           2.49  \\\n",
        "2019-10-24 12:30:08 2019-10-23 13:25:42                4           0.76   \n",
        "2019-10-24 12:42:01 2019-10-23 13:34:03                2           1.58   \n",
        "\n",
-       "                     payment_type  fare_amount  extra  mta_tax  tip_amount   \n",
+       "                     payment_type  fare_amount  extra  mta_tax  tip_amount  \\\n",
        "dropoff                                                                      \n",
-       "2019-10-23 12:53:49             1         13.5    1.0      0.5        2.20  \\\n",
        "2019-10-24 12:30:08             2          5.0    1.0      0.5        0.00   \n",
        "2019-10-24 12:42:01             1          7.5    1.0      0.5        2.36   \n",
        "\n",
-       "                     tolls_amount  improvement_surcharge  total_amount   \n",
+       "                     tolls_amount  improvement_surcharge  total_amount  \\\n",
        "dropoff                                                                  \n",
-       "2019-10-23 12:53:49           0.0                    0.3         20.00  \\\n",
        "2019-10-24 12:30:08           0.0                    0.3          9.30   \n",
        "2019-10-24 12:42:01           0.0                    0.3         14.16   \n",
        "\n",
-       "                     congestion_surcharge    elapsed_time  cost_before_tip   \n",
+       "                     congestion_surcharge    elapsed_time  cost_before_tip  \\\n",
        "dropoff                                                                      \n",
-       "2019-10-23 12:53:49                   2.5 0 days 00:18:22             17.8  \\\n",
        "2019-10-24 12:30:08                   2.5 0 days 23:04:26              9.3   \n",
        "2019-10-24 12:42:01                   2.5 0 days 23:07:58             11.8   \n",
        "\n",
-       "                      tip_pct  fees  avg_speed  \n",
-       "dropoff                                         \n",
-       "2019-10-23 12:53:49  0.123596   4.3   8.134301  \n",
-       "2019-10-24 12:30:08  0.000000   4.3   0.032938  \n",
-       "2019-10-24 12:42:01  0.200000   4.3   0.068301  "
+       "                     tip_pct  fees  avg_speed  \n",
+       "dropoff                                        \n",
+       "2019-10-24 12:30:08      0.0   4.3   0.032938  \n",
+       "2019-10-24 12:42:01      0.2   4.3   0.068301  "
       ]
      },
-     "execution_count": 47,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "taxis.between_time('12:00', '13:00')"
+    "taxis.loc['2019-10-24 12']"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "98520264-8284-414c-9c23-0c054af076f5",
+   "id": "8705d663-67c8-4f6f-b3e9-52bceeea122f",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
     "tags": []
    },
    "source": [
-    "*Tip: The `at_time()` method can be used to extract all entries at a given time (e.g., 12:35:27).*"
+    "However, if we want to look at this time range across days, we need another strategy."
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "6b6abd12-4ad3-47ed-be2f-c4a3bb6b1fbf",
+   "id": "78093e7d-ce53-424b-b484-820c4d98ace0",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
     "tags": []
    },
    "source": [
-    "Finally, `head()` and `tail()` limit us to a number of rows, but we may be interested in rows within the first/last 2 hours (or any other time interval) of the data, in which case, we should use `first()` / `last()`:"
+    "We can pull out the dropoffs that happened between a certain time range on *any* day with the `between_time()` method:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
-   "id": "e0e31dc9-dc86-4481-97b1-1cbb9d5490a6",
-   "metadata": {},
+   "execution_count": 49,
+   "id": "915f528c-639f-4b8b-99cc-9c83bb0cad4d",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -5195,172 +5575,129 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2019-10-23 07:52:09</th>\n",
-       "      <td>2019-10-23 07:48:58</td>\n",
+       "      <th>2019-10-23 12:53:49</th>\n",
+       "      <td>2019-10-23 12:35:27</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.49</td>\n",
        "      <td>1</td>\n",
-       "      <td>0.67</td>\n",
-       "      <td>2</td>\n",
-       "      <td>4.5</td>\n",
+       "      <td>13.5</td>\n",
        "      <td>1.0</td>\n",
        "      <td>0.5</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>2.20</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.3</td>\n",
-       "      <td>8.8</td>\n",
+       "      <td>20.00</td>\n",
        "      <td>2.5</td>\n",
-       "      <td>0 days 00:03:11</td>\n",
-       "      <td>8.8</td>\n",
-       "      <td>0.00000</td>\n",
+       "      <td>0 days 00:18:22</td>\n",
+       "      <td>17.8</td>\n",
+       "      <td>0.123596</td>\n",
        "      <td>4.3</td>\n",
-       "      <td>12.628272</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2019-10-23 08:03:16</th>\n",
-       "      <td>2019-10-23 07:05:34</td>\n",
-       "      <td>3</td>\n",
-       "      <td>14.68</td>\n",
-       "      <td>1</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.5</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.3</td>\n",
-       "      <td>55.8</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0 days 00:57:42</td>\n",
-       "      <td>51.8</td>\n",
-       "      <td>0.07722</td>\n",
-       "      <td>1.8</td>\n",
-       "      <td>15.265165</td>\n",
+       "      <td>8.134301</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2019-10-23 08:36:05</th>\n",
-       "      <td>2019-10-23 08:18:47</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2.39</td>\n",
+       "      <th>2019-10-24 12:30:08</th>\n",
+       "      <td>2019-10-23 13:25:42</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0.76</td>\n",
        "      <td>2</td>\n",
-       "      <td>12.5</td>\n",
+       "      <td>5.0</td>\n",
        "      <td>1.0</td>\n",
        "      <td>0.5</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.3</td>\n",
-       "      <td>16.8</td>\n",
+       "      <td>9.30</td>\n",
        "      <td>2.5</td>\n",
-       "      <td>0 days 00:17:18</td>\n",
-       "      <td>16.8</td>\n",
-       "      <td>0.00000</td>\n",
+       "      <td>0 days 23:04:26</td>\n",
+       "      <td>9.3</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>4.3</td>\n",
-       "      <td>8.289017</td>\n",
+       "      <td>0.032938</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2019-10-23 09:33:13</th>\n",
-       "      <td>2019-10-23 09:27:16</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1.11</td>\n",
+       "      <th>2019-10-24 12:42:01</th>\n",
+       "      <td>2019-10-23 13:34:03</td>\n",
        "      <td>2</td>\n",
-       "      <td>6.0</td>\n",
+       "      <td>1.58</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7.5</td>\n",
        "      <td>1.0</td>\n",
        "      <td>0.5</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.3</td>\n",
-       "      <td>7.8</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0 days 00:05:57</td>\n",
-       "      <td>7.8</td>\n",
-       "      <td>0.00000</td>\n",
-       "      <td>1.8</td>\n",
-       "      <td>11.193277</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2019-10-23 09:49:31</th>\n",
-       "      <td>2019-10-23 09:47:25</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.47</td>\n",
-       "      <td>2</td>\n",
-       "      <td>52.0</td>\n",
-       "      <td>4.5</td>\n",
-       "      <td>0.5</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>2.36</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.3</td>\n",
-       "      <td>59.8</td>\n",
+       "      <td>14.16</td>\n",
        "      <td>2.5</td>\n",
-       "      <td>0 days 00:02:06</td>\n",
-       "      <td>59.8</td>\n",
-       "      <td>0.00000</td>\n",
-       "      <td>7.8</td>\n",
-       "      <td>13.428571</td>\n",
+       "      <td>0 days 23:07:58</td>\n",
+       "      <td>11.8</td>\n",
+       "      <td>0.200000</td>\n",
+       "      <td>4.3</td>\n",
+       "      <td>0.068301</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                                 pickup  passenger_count  trip_distance   \n",
+       "                                 pickup  passenger_count  trip_distance  \\\n",
        "dropoff                                                                   \n",
-       "2019-10-23 07:52:09 2019-10-23 07:48:58                1           0.67  \\\n",
-       "2019-10-23 08:03:16 2019-10-23 07:05:34                3          14.68   \n",
-       "2019-10-23 08:36:05 2019-10-23 08:18:47                1           2.39   \n",
-       "2019-10-23 09:33:13 2019-10-23 09:27:16                2           1.11   \n",
-       "2019-10-23 09:49:31 2019-10-23 09:47:25                2           0.47   \n",
+       "2019-10-23 12:53:49 2019-10-23 12:35:27                5           2.49   \n",
+       "2019-10-24 12:30:08 2019-10-23 13:25:42                4           0.76   \n",
+       "2019-10-24 12:42:01 2019-10-23 13:34:03                2           1.58   \n",
        "\n",
-       "                     payment_type  fare_amount  extra  mta_tax  tip_amount   \n",
+       "                     payment_type  fare_amount  extra  mta_tax  tip_amount  \\\n",
        "dropoff                                                                      \n",
-       "2019-10-23 07:52:09             2          4.5    1.0      0.5         0.0  \\\n",
-       "2019-10-23 08:03:16             1         50.0    1.0      0.5         4.0   \n",
-       "2019-10-23 08:36:05             2         12.5    1.0      0.5         0.0   \n",
-       "2019-10-23 09:33:13             2          6.0    1.0      0.5         0.0   \n",
-       "2019-10-23 09:49:31             2         52.0    4.5      0.5         0.0   \n",
+       "2019-10-23 12:53:49             1         13.5    1.0      0.5        2.20   \n",
+       "2019-10-24 12:30:08             2          5.0    1.0      0.5        0.00   \n",
+       "2019-10-24 12:42:01             1          7.5    1.0      0.5        2.36   \n",
        "\n",
-       "                     tolls_amount  improvement_surcharge  total_amount   \n",
+       "                     tolls_amount  improvement_surcharge  total_amount  \\\n",
        "dropoff                                                                  \n",
-       "2019-10-23 07:52:09           0.0                    0.3           8.8  \\\n",
-       "2019-10-23 08:03:16           0.0                    0.3          55.8   \n",
-       "2019-10-23 08:36:05           0.0                    0.3          16.8   \n",
-       "2019-10-23 09:33:13           0.0                    0.3           7.8   \n",
-       "2019-10-23 09:49:31           0.0                    0.3          59.8   \n",
+       "2019-10-23 12:53:49           0.0                    0.3         20.00   \n",
+       "2019-10-24 12:30:08           0.0                    0.3          9.30   \n",
+       "2019-10-24 12:42:01           0.0                    0.3         14.16   \n",
        "\n",
-       "                     congestion_surcharge    elapsed_time  cost_before_tip   \n",
+       "                     congestion_surcharge    elapsed_time  cost_before_tip  \\\n",
        "dropoff                                                                      \n",
-       "2019-10-23 07:52:09                   2.5 0 days 00:03:11              8.8  \\\n",
-       "2019-10-23 08:03:16                   0.0 0 days 00:57:42             51.8   \n",
-       "2019-10-23 08:36:05                   2.5 0 days 00:17:18             16.8   \n",
-       "2019-10-23 09:33:13                   0.0 0 days 00:05:57              7.8   \n",
-       "2019-10-23 09:49:31                   2.5 0 days 00:02:06             59.8   \n",
+       "2019-10-23 12:53:49                   2.5 0 days 00:18:22             17.8   \n",
+       "2019-10-24 12:30:08                   2.5 0 days 23:04:26              9.3   \n",
+       "2019-10-24 12:42:01                   2.5 0 days 23:07:58             11.8   \n",
        "\n",
-       "                     tip_pct  fees  avg_speed  \n",
-       "dropoff                                        \n",
-       "2019-10-23 07:52:09  0.00000   4.3  12.628272  \n",
-       "2019-10-23 08:03:16  0.07722   1.8  15.265165  \n",
-       "2019-10-23 08:36:05  0.00000   4.3   8.289017  \n",
-       "2019-10-23 09:33:13  0.00000   1.8  11.193277  \n",
-       "2019-10-23 09:49:31  0.00000   7.8  13.428571  "
+       "                      tip_pct  fees  avg_speed  \n",
+       "dropoff                                         \n",
+       "2019-10-23 12:53:49  0.123596   4.3   8.134301  \n",
+       "2019-10-24 12:30:08  0.000000   4.3   0.032938  \n",
+       "2019-10-24 12:42:01  0.200000   4.3   0.068301  "
       ]
      },
-     "execution_count": 48,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "taxis.first('2H')"
+    "taxis.between_time('12:00', '13:00')"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "7f0c8566-4a05-4710-8146-773089a05a07",
-   "metadata": {},
+   "id": "98520264-8284-414c-9c23-0c054af076f5",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "fragment"
+    },
+    "tags": []
+   },
    "source": [
-    "*Tip: Available date/time offsets can be found in the pandas documentation [here](https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#dateoffset-objects).* "
+    "*Tip: The `at_time()` method can be used to extract all entries at a given time (e.g., 12:35:27).*"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "b8c0485e-4730-4124-8e71-493e7e9c45d6",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -5372,9 +5709,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 50,
    "id": "1a06c5b3-cb6b-4f02-9559-208fd94a78ed",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "tsa_melted_holiday_travel = tsa_melted_holiday_travel.set_index('date')"
@@ -5384,6 +5727,7 @@
    "cell_type": "markdown",
    "id": "20ae3a50-f2f4-4880-8463-a16bb7932ba2",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -5395,9 +5739,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 51,
    "id": "7a554fda-2363-4c87-b8f3-17773c511c43",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -5535,7 +5885,7 @@
        "2020-01-10  2020  2183734.0             NaN        495760.0         -238538.0"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 51,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5550,7 +5900,13 @@
   {
    "cell_type": "markdown",
    "id": "4938d37c-9e59-4c5b-88c1-32709c0b68d9",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "*Tip: To perform operations other than subtraction, take a look at the `shift()` method. It also makes it possible to perform operations across columns.*"
    ]
@@ -5559,6 +5915,7 @@
    "cell_type": "markdown",
    "id": "86e9b6a3-7547-4d38-93ec-1a27e64615cf",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -5566,14 +5923,20 @@
    },
    "source": [
     "### Resampling\n",
-    "We can use resampling to aggregate time series data to a new frequency:"
+    "We can use resampling to aggregate time series data to a new [frequency](https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases):"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 52,
    "id": "0093c590-342a-4add-9999-0fb063cfa5e7",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -5689,20 +6052,21 @@
        "2021-03-31   86094635.0  9.566071e+05  280399.809061"
       ]
      },
-     "execution_count": 51,
+     "execution_count": 52,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "tsa_melted_holiday_travel['2019':'2021-Q1'].select_dtypes(include='number')\\\n",
-    "    .resample('Q').agg(['sum', 'mean', 'std'])"
+    "    .resample('QE').agg(['sum', 'mean', 'std'])"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "c169d6c8-a744-462a-bfbb-a5cadd29eca9",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -5718,6 +6082,7 @@
    "cell_type": "markdown",
    "id": "acdebc2e-20f9-4963-9aeb-90a6d91db14e",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -5729,9 +6094,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 53,
    "id": "d83c0d2e-16db-49de-b15b-ba30792a89e7",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -5869,7 +6240,7 @@
        "2020-01-10  2020  2183734.0             NaN  1.972969e+06  2.072344e+06"
       ]
      },
-     "execution_count": 52,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5887,6 +6258,7 @@
    "cell_type": "markdown",
    "id": "8dab1843-9179-415f-be5b-1ebafaef3690",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -5898,9 +6270,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 54,
    "id": "da84fa52-b2a9-4ab8-9d6d-643a3b43b94e",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "import matplotlib_inline\n",
@@ -5915,7 +6293,13 @@
   {
    "cell_type": "markdown",
    "id": "81e00227-a79d-464f-bbbf-318992b6a5a4",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "*Tip: For most use cases, only the first argument is necessary &ndash; we will discuss the second argument in more detail in the next section.*"
    ]
@@ -5924,6 +6308,7 @@
    "cell_type": "markdown",
    "id": "474adada-c6c6-4306-ab85-a23a6bebaca7",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -5935,9 +6320,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 55,
    "id": "3e31834c-3299-44b0-8ac3-6939b91b9be0",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -5950,11 +6341,11 @@
        "  <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
        "   <cc:Work>\n",
        "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
-       "    <dc:date>(c) 2021-2023 Stefanie Molin</dc:date>\n",
+       "    <dc:date>(c) 2021-2024 Stefanie Molin</dc:date>\n",
        "    <dc:format>image/svg+xml</dc:format>\n",
        "    <dc:creator>\n",
        "     <cc:Agent>\n",
-       "      <dc:title>Matplotlib v3.7.1, https://matplotlib.org/</dc:title>\n",
+       "      <dc:title>Matplotlib v3.8.4, https://matplotlib.org/</dc:title>\n",
        "     </cc:Agent>\n",
        "    </dc:creator>\n",
        "   </cc:Work>\n",
@@ -6993,7 +7384,7 @@
        "L 383.779058 151.639797 \n",
        "L 384.668523 177.17847 \n",
        "L 384.668523 177.17847 \n",
-       "\" clip-path=\"url(#pd6e3d2542f)\" style=\"fill: none; stroke: #1f77b4; stroke-opacity: 0.8; stroke-width: 1.5; stroke-linecap: square\"/>\n",
+       "\" clip-path=\"url(#p0c735aba0c)\" style=\"fill: none; stroke: #1f77b4; stroke-opacity: 0.8; stroke-width: 1.5; stroke-linecap: square\"/>\n",
        "   </g>\n",
        "   <g id=\"line2d_15\">\n",
        "    <path d=\"M 60.013977 50.290577 \n",
@@ -7265,7 +7656,7 @@
        "L 383.779058 163.932444 \n",
        "L 384.668523 163.58076 \n",
        "L 384.668523 163.58076 \n",
-       "\" clip-path=\"url(#pd6e3d2542f)\" style=\"fill: none; stroke: #ff7f0e; stroke-opacity: 0.8; stroke-width: 1.5; stroke-linecap: square\"/>\n",
+       "\" clip-path=\"url(#p0c735aba0c)\" style=\"fill: none; stroke: #ff7f0e; stroke-opacity: 0.8; stroke-width: 1.5; stroke-linecap: square\"/>\n",
        "   </g>\n",
        "   <g id=\"line2d_16\">\n",
        "    <path d=\"M 60.013977 50.290577 \n",
@@ -7400,7 +7791,7 @@
        "L 379.331736 176.837332 \n",
        "L 384.668523 176.519776 \n",
        "L 384.668523 176.519776 \n",
-       "\" clip-path=\"url(#pd6e3d2542f)\" style=\"fill: none; stroke: #2ca02c; stroke-opacity: 0.8; stroke-width: 1.5; stroke-linecap: square\"/>\n",
+       "\" clip-path=\"url(#p0c735aba0c)\" style=\"fill: none; stroke: #2ca02c; stroke-opacity: 0.8; stroke-width: 1.5; stroke-linecap: square\"/>\n",
        "   </g>\n",
        "   <g id=\"patch_3\">\n",
        "    <path d=\"M 43.78125 257.326125 \n",
@@ -7811,7 +8202,7 @@
        "  </g>\n",
        " </g>\n",
        " <defs>\n",
-       "  <clipPath id=\"pd6e3d2542f\">\n",
+       "  <clipPath id=\"p0c735aba0c\">\n",
        "   <rect x=\"43.78125\" y=\"22.318125\" width=\"357.12\" height=\"235.008\"/>\n",
        "  </clipPath>\n",
        " </defs>\n",
@@ -7838,6 +8229,7 @@
    "cell_type": "markdown",
    "id": "4fe90855-8228-4cf6-9c8b-375b416071b7",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -7852,7 +8244,13 @@
   {
    "cell_type": "markdown",
    "id": "bc18799b-77d4-4699-9967-9797d76d3539",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "### [Exercise 2.5](./workbook.ipynb#Exercise-2.5)\n",
     "\n",
@@ -7861,9 +8259,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 56,
    "id": "c5ce22c9-ea36-4d60-b291-c67e1deeeabf",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "# Complete this exercise in the workbook.ipynb file\n",
@@ -7874,6 +8278,7 @@
    "cell_type": "markdown",
    "id": "94ab60e4-a8de-4453-8598-4112bb86f098",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -7900,7 +8305,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/3-data_visualization.ipynb b/notebooks/3-data_visualization.ipynb
index 4919229..9c48cf7 100644
--- a/notebooks/3-data_visualization.ipynb
+++ b/notebooks/3-data_visualization.ipynb
@@ -229,14 +229,145 @@
    "source": [
     "### Line plots\n",
     "\n",
-    "The `plot()` method will generate line plots for all numeric columns by default:"
+    "Let's continue with the example of rolling and expanding calculations:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 3,
+   "id": "2e6fc032-939f-4e3a-8cb7-ee57718f0c46",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>travelers</th>\n",
+       "      <th>holiday</th>\n",
+       "      <th>7D MA</th>\n",
+       "      <th>YTD mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2020-01-01</th>\n",
+       "      <td>2311732.0</td>\n",
+       "      <td>New Year's Day</td>\n",
+       "      <td>2311732.0</td>\n",
+       "      <td>2311732.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-02</th>\n",
+       "      <td>2178656.0</td>\n",
+       "      <td>New Year's Day</td>\n",
+       "      <td>2245194.0</td>\n",
+       "      <td>2245194.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-03</th>\n",
+       "      <td>2422272.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2304220.0</td>\n",
+       "      <td>2304220.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-04</th>\n",
+       "      <td>2210542.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2280800.5</td>\n",
+       "      <td>2280800.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-05</th>\n",
+       "      <td>1806480.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2185936.4</td>\n",
+       "      <td>2185936.4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            travelers         holiday      7D MA   YTD mean\n",
+       "date                                                       \n",
+       "2020-01-01  2311732.0  New Year's Day  2311732.0  2311732.0\n",
+       "2020-01-02  2178656.0  New Year's Day  2245194.0  2245194.0\n",
+       "2020-01-03  2422272.0             NaN  2304220.0  2304220.0\n",
+       "2020-01-04  2210542.0             NaN  2280800.5  2280800.5\n",
+       "2020-01-05  1806480.0             NaN  2185936.4  2185936.4"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "plot_data = tsa_melted_holiday_travel.drop(columns='year').loc['2020'].assign(\n",
+    "    **{\n",
+    "        '7D MA': lambda x: x.travelers.rolling('7D').mean(),\n",
+    "        'YTD mean': lambda x: x.travelers.expanding().mean()\n",
+    "      }\n",
+    ")\n",
+    "plot_data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "616bc44c-4c63-4d9a-9558-8f4de0b5b3e0",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "subslide"
+    },
+    "tags": []
+   },
+   "source": [
+    "The `plot()` method will generate line plots for all numeric columns by default:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
    "id": "7d30f224-a4c3-4083-981e-a3340f4a26b0",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -244,7 +375,7 @@
        "<Axes: title={'center': '2020 TSA Traveler Throughput'}, xlabel='date', ylabel='travelers'>"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     },
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        "   <cc:Work>\n",
        "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
-       "    <dc:date>(c) 2021-2023 Stefanie Molin</dc:date>\n",
+       "    <dc:date>(c) 2021-2024 Stefanie Molin</dc:date>\n",
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        "    <dc:creator>\n",
        "     <cc:Agent>\n",
-       "      <dc:title>Matplotlib v3.7.1, https://matplotlib.org/</dc:title>\n",
+       "      <dc:title>Matplotlib v3.8.4, https://matplotlib.org/</dc:title>\n",
        "     </cc:Agent>\n",
        "    </dc:creator>\n",
        "   </cc:Work>\n",
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        "L 384.668523 163.58076 \n",
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        "   </g>\n",
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@@ -1709,7 +1840,7 @@
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        "L 384.668523 176.519776 \n",
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+       "\" clip-path=\"url(#pe10e3a9817)\" style=\"fill: none; stroke: #2ca02c; stroke-opacity: 0.8; stroke-width: 1.5; stroke-linecap: square\"/>\n",
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@@ -2120,7 +2251,7 @@
        "  </g>\n",
        " </g>\n",
        " <defs>\n",
-       "  <clipPath id=\"p95724de445\">\n",
+       "  <clipPath id=\"pe10e3a9817\">\n",
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        "  </clipPath>\n",
        " </defs>\n",
@@ -2135,12 +2266,7 @@
     }
    ],
    "source": [
-    "tsa_melted_holiday_travel.drop(columns='year').loc['2020'].assign(\n",
-    "    **{\n",
-    "        '7D MA': lambda x: x.travelers.rolling('7D').mean(),\n",
-    "        'YTD mean': lambda x: x.travelers.expanding().mean()\n",
-    "      }\n",
-    ").plot(title='2020 TSA Traveler Throughput', ylabel='travelers', alpha=0.8)"
+    "plot_data.plot(title='2020 TSA Traveler Throughput', ylabel='travelers', alpha=0.8)"
    ]
   },
   {
@@ -2173,7 +2299,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "id": "babbc6d8-fff4-4505-ad88-8af332416208",
    "metadata": {},
    "outputs": [
@@ -2254,7 +2380,7 @@
        "5      74617773.0   7244733.0         NaN"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2281,17 +2407,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "id": "d1776fcf-d50f-44b1-8b11-26675347fec5",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x1309da790>"
+       "<matplotlib.legend.Legend at 0x12a5c6de0>"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     },
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        "   <cc:Work>\n",
        "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
-       "    <dc:date>(c) 2021-2023 Stefanie Molin</dc:date>\n",
+       "    <dc:date>(c) 2021-2024 Stefanie Molin</dc:date>\n",
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        "    <dc:creator>\n",
        "     <cc:Agent>\n",
-       "      <dc:title>Matplotlib v3.7.1, https://matplotlib.org/</dc:title>\n",
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@@ -2615,7 +2741,7 @@
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-       "\" clip-path=\"url(#p2d0205e871)\" style=\"fill: #2ca02c\"/>\n",
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@@ -2623,7 +2749,7 @@
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@@ -3669,7 +3795,7 @@
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@@ -3735,7 +3861,7 @@
   },
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+   "execution_count": 7,
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@@ -3758,7 +3884,7 @@
   },
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+   "execution_count": 8,
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        "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
-       "    <dc:date>(c) 2021-2023 Stefanie Molin</dc:date>\n",
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    "cell_type": "markdown",
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@@ -5356,7 +5483,7 @@
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    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "id": "4bfc7ad9-ae6d-440e-b15f-eb3fa16d47ed",
    "metadata": {},
    "outputs": [],
@@ -5417,17 +5544,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "id": "b68a741f-9c37-4925-84b9-615c34ea0297",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<seaborn.axisgrid.FacetGrid at 0x1414ac190>"
+       "<seaborn.axisgrid.FacetGrid at 0x13f0592b0>"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -5442,11 +5569,11 @@
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        "   <cc:Work>\n",
        "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
-       "    <dc:date>(c) 2021-2023 Stefanie Molin</dc:date>\n",
+       "    <dc:date>(c) 2021-2024 Stefanie Molin</dc:date>\n",
        "    <dc:format>image/svg+xml</dc:format>\n",
        "    <dc:creator>\n",
        "     <cc:Agent>\n",
-       "      <dc:title>Matplotlib v3.7.1, https://matplotlib.org/</dc:title>\n",
+       "      <dc:title>Matplotlib v3.8.4, https://matplotlib.org/</dc:title>\n",
        "     </cc:Agent>\n",
        "    </dc:creator>\n",
        "   </cc:Work>\n",
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@@ -5487,7 +5614,7 @@
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-       "\" clip-path=\"url(#pc81759c7c4)\" style=\"fill: #1f77b4; fill-opacity: 0.5; stroke: #000000; stroke-linejoin: miter\"/>\n",
+       "\" clip-path=\"url(#pf8e32acb71)\" style=\"fill: #1f77b4; fill-opacity: 0.5; stroke: #000000; stroke-linejoin: miter\"/>\n",
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@@ -5495,7 +5622,7 @@
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@@ -5503,7 +5630,7 @@
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@@ -5511,7 +5638,7 @@
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@@ -5519,7 +5646,7 @@
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@@ -5527,7 +5654,7 @@
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@@ -5535,7 +5662,7 @@
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@@ -5543,7 +5670,7 @@
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@@ -5551,7 +5678,7 @@
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@@ -5559,7 +5686,7 @@
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@@ -6146,7 +6273,7 @@
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@@ -6253,7 +6380,7 @@
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@@ -6261,7 +6388,7 @@
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@@ -6269,7 +6396,7 @@
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@@ -6285,7 +6412,7 @@
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@@ -6293,7 +6420,7 @@
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@@ -6309,7 +6436,7 @@
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@@ -6325,7 +6452,7 @@
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@@ -6333,7 +6460,7 @@
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@@ -6544,7 +6671,7 @@
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@@ -6552,7 +6679,7 @@
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@@ -6560,7 +6687,7 @@
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@@ -6568,7 +6695,7 @@
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@@ -6584,7 +6711,7 @@
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        "z\n",
-       "\" clip-path=\"url(#pb1b257dad8)\" style=\"fill: #808080; opacity: 0.2; stroke: #808080; stroke-linejoin: miter\"/>\n",
+       "\" clip-path=\"url(#p1a0f5a9f41)\" style=\"fill: #808080; opacity: 0.2; stroke: #808080; stroke-linejoin: miter\"/>\n",
        "   </g>\n",
        "   <g id=\"patch_5\">\n",
        "    <path d=\"M 112.173415 133.198125 \n",
@@ -9005,7 +9132,7 @@
        "L 119.246655 22.318125 \n",
        "L 119.246655 133.198125 \n",
        "z\n",
-       "\" clip-path=\"url(#pb1b257dad8)\" style=\"fill: #808080; opacity: 0.2; stroke: #808080; stroke-linejoin: miter\"/>\n",
+       "\" clip-path=\"url(#p1a0f5a9f41)\" style=\"fill: #808080; opacity: 0.2; stroke: #808080; stroke-linejoin: miter\"/>\n",
        "   </g>\n",
        "   <g id=\"patch_6\">\n",
        "    <path d=\"M 548.356514 133.198125 \n",
@@ -9013,7 +9140,7 @@
        "L 555.429754 22.318125 \n",
        "L 555.429754 133.198125 \n",
        "z\n",
-       "\" clip-path=\"url(#pb1b257dad8)\" style=\"fill: #808080; opacity: 0.2; stroke: #808080; stroke-linejoin: miter\"/>\n",
+       "\" clip-path=\"url(#p1a0f5a9f41)\" style=\"fill: #808080; opacity: 0.2; stroke: #808080; stroke-linejoin: miter\"/>\n",
        "   </g>\n",
        "   <g id=\"matplotlib.axis_1\">\n",
        "    <g id=\"xtick_1\">\n",
@@ -10212,7 +10339,7 @@
        "L 555.429754 27.358125 \n",
        "L 557.7875 50.100526 \n",
        "L 557.7875 50.100526 \n",
-       "\" clip-path=\"url(#pb1b257dad8)\" style=\"fill: none; stroke: #1f77b4; stroke-width: 1.5; stroke-linecap: square\"/>\n",
+       "\" clip-path=\"url(#p1a0f5a9f41)\" style=\"fill: none; stroke: #1f77b4; stroke-width: 1.5; stroke-linecap: square\"/>\n",
        "   </g>\n",
        "   <g id=\"patch_7\">\n",
        "    <path d=\"M 55.5875 133.198125 \n",
@@ -10297,7 +10424,7 @@
        "  </g>\n",
        " </g>\n",
        " <defs>\n",
-       "  <clipPath id=\"pb1b257dad8\">\n",
+       "  <clipPath id=\"p1a0f5a9f41\">\n",
        "   <rect x=\"55.5875\" y=\"22.318125\" width=\"502.2\" height=\"110.88\"/>\n",
        "  </clipPath>\n",
        " </defs>\n",
@@ -10357,7 +10484,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 19,
    "id": "cd8a781f-3a17-445f-8ff2-742086122b67",
    "metadata": {},
    "outputs": [
@@ -10372,11 +10499,11 @@
        "  <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
        "   <cc:Work>\n",
        "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
-       "    <dc:date>(c) 2021-2023 Stefanie Molin</dc:date>\n",
+       "    <dc:date>(c) 2021-2024 Stefanie Molin</dc:date>\n",
        "    <dc:format>image/svg+xml</dc:format>\n",
        "    <dc:creator>\n",
        "     <cc:Agent>\n",
-       "      <dc:title>Matplotlib v3.7.1, https://matplotlib.org/</dc:title>\n",
+       "      <dc:title>Matplotlib v3.8.4, https://matplotlib.org/</dc:title>\n",
        "     </cc:Agent>\n",
        "    </dc:creator>\n",
        "   </cc:Work>\n",
@@ -12053,7 +12180,7 @@
        "L 556.40783 83.393946 \n",
        "L 557.7875 64.028354 \n",
        "L 557.7875 64.028354 \n",
-       "\" clip-path=\"url(#pb1b257dad8)\" style=\"fill: none; stroke: #1f77b4; stroke-width: 1.5; stroke-linecap: square\"/>\n",
+       "\" clip-path=\"url(#p1a0f5a9f41)\" style=\"fill: none; stroke: #1f77b4; stroke-width: 1.5; stroke-linecap: square\"/>\n",
        "   </g>\n",
        "   <g id=\"patch_3\">\n",
        "    <path d=\"M 55.5875 133.198125 \n",
@@ -12236,7 +12363,7 @@
        "  </g>\n",
        " </g>\n",
        " <defs>\n",
-       "  <clipPath id=\"pb1b257dad8\">\n",
+       "  <clipPath id=\"p1a0f5a9f41\">\n",
        "   <rect x=\"55.5875\" y=\"22.318125\" width=\"502.2\" height=\"110.88\"/>\n",
        "  </clipPath>\n",
        " </defs>\n",
@@ -12309,7 +12436,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 20,
    "id": "583f952c-2c2e-40ed-9235-fd80a7fe43b7",
    "metadata": {},
    "outputs": [],
@@ -12319,7 +12446,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 21,
    "id": "0b182f1a-33b0-4dde-9d54-e55d7bfeeae3",
    "metadata": {},
    "outputs": [],
@@ -12329,7 +12456,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 22,
    "id": "07394de8-c5fa-4c90-ac5c-e5b6452838c7",
    "metadata": {},
    "outputs": [],
@@ -12368,7 +12495,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/4-hands_on_data_analysis_lab.ipynb b/notebooks/4-hands_on_data_analysis_lab.ipynb
index 71685aa..1a4c19a 100644
--- a/notebooks/4-hands_on_data_analysis_lab.ipynb
+++ b/notebooks/4-hands_on_data_analysis_lab.ipynb
@@ -40,7 +40,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -54,7 +54,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/utils.py b/notebooks/utils.py
index c13dcf4..ba6875e 100644
--- a/notebooks/utils.py
+++ b/notebooks/utils.py
@@ -2,6 +2,8 @@
 
 import datetime as dt
 
+import pandas as pd
+
 
 def mpl_svg_config(hashsalt):
     """Help configure the SVG backend for Matplotlib and make it reproducible."""
@@ -13,3 +15,32 @@ def mpl_svg_config(hashsalt):
             'Date': f'(c) 2021-{dt.date.today().year} Stefanie Molin'
         }
     }
+
+def highlight_long_format(df, colors):
+    """Highlight long format columns in the data."""
+
+    def get_style(x):
+        if color := colors.get(x):
+            return f'background-color: {color}'
+        return None
+
+    def highlight_column(x):
+        return [get_style(x.name)] * x.shape[0]
+
+    return df.style\
+        .apply_index(lambda x: x.apply(get_style), axis=1)\
+        .apply(highlight_column, axis=0)
+
+def highlight_wide_format(df, colors):
+    """Highlight wide format columns in the melted data."""
+
+    def highlight_melt(x):
+        color = colors[x.year]
+        return [f"background-color: {color};"] * 2
+
+    return df.melt(id_vars='date', var_name='year', value_name='travelers')\
+        .assign(
+            date=lambda x: pd.to_datetime(x.year + x.date.dt.strftime('-%m-%d'))
+        )\
+        .sort_values('date', ascending=False)\
+        .style.apply(highlight_melt, subset=['year', 'travelers'], axis=1)
diff --git a/notebooks/workbook.ipynb b/notebooks/workbook.ipynb
index 01ee60d..f838f6f 100644
--- a/notebooks/workbook.ipynb
+++ b/notebooks/workbook.ipynb
@@ -254,7 +254,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.2"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/requirements.txt b/requirements.txt
index 8badf7c..f02fb81 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,6 +1,6 @@
-jupyterlab>=3.5.2
-matplotlib==3.7.1
-numpy==1.24.2
-pandas==2.0.0
+jupyterlab>=4.2.3
+matplotlib==3.8.4
+numpy==2.0.0
+pandas==2.2.2
 requests
-seaborn==0.12.2
+seaborn==0.13.2
diff --git a/slides/0-introduction.ipynb b/slides/0-introduction.ipynb
index 4379675..ddb2592 100644
--- a/slides/0-introduction.ipynb
+++ b/slides/0-introduction.ipynb
@@ -48,11 +48,11 @@
    "source": [
     "## Bio\n",
     "\n",
-    "- Software engineer and data scientist at Bloomberg in New York City\n",
-    "- Working in information security\n",
-    "- Author of [Hands-On Data Analysis with Pandas](https://www.amazon.com/Hands-Data-Analysis-Pandas-visualization-dp-1800563450/dp/1800563450/) (currently in its second edition; translated into Korean)\n",
-    "- BS in operations research from Columbia University\n",
-    "- MS in computer science (ML specialization) from Georgia Tech"
+    "- 👩‍💻 Software engineer at Bloomberg in NYC\n",
+    "- 🚀 Core developer of [numpydoc](https://github.com/numpy/numpydoc)\n",
+    "- ✍️ Author of [Hands-On Data Analysis with Pandas](https://www.amazon.com/Hands-Data-Analysis-Pandas-visualization-dp-1800563450/dp/1800563450/) (currently in its second edition; translated into Korean and Simplified Chinese)\n",
+    "- 🎓 BS in operations research from Columbia University\n",
+    "- 🎓 MS in computer science (ML specialization) from Georgia Tech"
    ]
   },
   {
@@ -127,7 +127,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/slides/1-getting_started_with_pandas.ipynb b/slides/1-getting_started_with_pandas.ipynb
index 9a3d4e3..6d232cc 100644
--- a/slides/1-getting_started_with_pandas.ipynb
+++ b/slides/1-getting_started_with_pandas.ipynb
@@ -186,8 +186,8 @@
        "</div>"
       ],
       "text/plain": [
-       "       name   id nametype     recclass  mass (g)  fall   \n",
-       "0    Aachen    1    Valid           L5        21  Fell  \\\n",
+       "       name   id nametype     recclass  mass (g)  fall  \\\n",
+       "0    Aachen    1    Valid           L5        21  Fell   \n",
        "1    Aarhus    2    Valid           H6       720  Fell   \n",
        "2      Abee    6    Valid          EH4    107000  Fell   \n",
        "3  Acapulco   10    Valid  Acapulcoite      1914  Fell   \n",
@@ -550,13 +550,13 @@
        "</div>"
       ],
       "text/plain": [
-       "     name id nametype recclass    mass  fall                     year   \n",
-       "0  Aachen  1    Valid       L5      21  Fell  1880-01-01T00:00:00.000  \\\n",
+       "     name id nametype recclass    mass  fall                     year  \\\n",
+       "0  Aachen  1    Valid       L5      21  Fell  1880-01-01T00:00:00.000   \n",
        "1  Aarhus  2    Valid       H6     720  Fell  1951-01-01T00:00:00.000   \n",
        "2    Abee  6    Valid      EH4  107000  Fell  1952-01-01T00:00:00.000   \n",
        "\n",
-       "      reclat      reclong                                        geolocation   \n",
-       "0  50.775000     6.083330     {'latitude': '50.775', 'longitude': '6.08333'}  \\\n",
+       "      reclat      reclong                                        geolocation  \\\n",
+       "0  50.775000     6.083330     {'latitude': '50.775', 'longitude': '6.08333'}   \n",
        "1  56.183330    10.233330  {'latitude': '56.18333', 'longitude': '10.23333'}   \n",
        "2  54.216670  -113.000000    {'latitude': '54.21667', 'longitude': '-113.0'}   \n",
        "\n",
@@ -882,8 +882,8 @@
        "</div>"
       ],
       "text/plain": [
-       "       name   id nametype     recclass  mass (g)  fall   \n",
-       "0    Aachen    1    Valid           L5      21.0  Fell  \\\n",
+       "       name   id nametype     recclass  mass (g)  fall  \\\n",
+       "0    Aachen    1    Valid           L5      21.0  Fell   \n",
        "1    Aarhus    2    Valid           H6     720.0  Fell   \n",
        "2      Abee    6    Valid          EH4  107000.0  Fell   \n",
        "3  Acapulco   10    Valid  Acapulcoite    1914.0  Fell   \n",
@@ -1033,8 +1033,8 @@
        "</div>"
       ],
       "text/plain": [
-       "             name     id nametype              recclass  mass (g)   fall   \n",
-       "45711  Zillah 002  31356    Valid               Eucrite     172.0  Found  \\\n",
+       "             name     id nametype              recclass  mass (g)   fall  \\\n",
+       "45711  Zillah 002  31356    Valid               Eucrite     172.0  Found   \n",
        "45712      Zinder  30409    Valid  Pallasite, ungrouped      46.0  Found   \n",
        "45713        Zlin  30410    Valid                    H4       3.3  Found   \n",
        "45714   Zubkovsky  31357    Valid                    L6    2167.0  Found   \n",
@@ -1315,29 +1315,29 @@
        "</div>"
       ],
       "text/plain": [
-       "   vendorid     tpep_pickup_datetime    tpep_dropoff_datetime   \n",
-       "0         2  2019-10-23T16:39:42.000  2019-10-23T17:14:10.000  \\\n",
+       "   vendorid     tpep_pickup_datetime    tpep_dropoff_datetime  \\\n",
+       "0         2  2019-10-23T16:39:42.000  2019-10-23T17:14:10.000   \n",
        "1         1  2019-10-23T16:32:08.000  2019-10-23T16:45:26.000   \n",
        "2         2  2019-10-23T16:08:44.000  2019-10-23T16:21:11.000   \n",
        "3         2  2019-10-23T16:22:44.000  2019-10-23T16:43:26.000   \n",
        "4         2  2019-10-23T16:45:11.000  2019-10-23T16:58:49.000   \n",
        "\n",
-       "   passenger_count  trip_distance  ratecodeid store_and_fwd_flag   \n",
-       "0                1           7.93           1                  N  \\\n",
+       "   passenger_count  trip_distance  ratecodeid store_and_fwd_flag  \\\n",
+       "0                1           7.93           1                  N   \n",
        "1                1           2.00           1                  N   \n",
        "2                1           1.36           1                  N   \n",
        "3                1           1.00           1                  N   \n",
        "4                1           1.96           1                  N   \n",
        "\n",
-       "   pulocationid  dolocationid  payment_type  fare_amount  extra  mta_tax   \n",
-       "0           138           170             1         29.5    1.0      0.5  \\\n",
+       "   pulocationid  dolocationid  payment_type  fare_amount  extra  mta_tax  \\\n",
+       "0           138           170             1         29.5    1.0      0.5   \n",
        "1            11            26             1         10.5    1.0      0.5   \n",
        "2           163           162             1          9.5    1.0      0.5   \n",
        "3           170           163             1         13.0    1.0      0.5   \n",
        "4           163           236             1         10.5    1.0      0.5   \n",
        "\n",
-       "   tip_amount  tolls_amount  improvement_surcharge  total_amount   \n",
-       "0        7.98          6.12                    0.3         47.90  \\\n",
+       "   tip_amount  tolls_amount  improvement_surcharge  total_amount  \\\n",
+       "0        7.98          6.12                    0.3         47.90   \n",
        "1        0.00          0.00                    0.3         12.30   \n",
        "2        2.00          0.00                    0.3         15.80   \n",
        "3        4.32          0.00                    0.3         21.62   \n",
@@ -1735,8 +1735,8 @@
        "</div>"
       ],
       "text/plain": [
-       "              name     id nametype       recclass  mass (g)  fall   \n",
-       "100         Benton   5026    Valid            LL6    2840.0  Fell  \\\n",
+       "              name     id nametype       recclass  mass (g)  fall  \\\n",
+       "100         Benton   5026    Valid            LL6    2840.0  Fell   \n",
        "101         Berduc  48975    Valid             L6     270.0  Fell   \n",
        "102         Béréba   5028    Valid  Eucrite-mmict   18000.0  Fell   \n",
        "103  Berlanguillas   5029    Valid             L6    1440.0  Fell   \n",
@@ -2153,8 +2153,8 @@
        "</div>"
       ],
       "text/plain": [
-       "              name     id nametype    recclass    mass (g)  fall   \n",
-       "29         Allende   2278    Valid         CV3   2000000.0  Fell  \\\n",
+       "              name     id nametype    recclass    mass (g)  fall  \\\n",
+       "29         Allende   2278    Valid         CV3   2000000.0  Fell   \n",
        "419          Jilin  12171    Valid          H5   4000000.0  Fell   \n",
        "506  Kunya-Urgench  12379    Valid          H5   1100000.0  Fell   \n",
        "707  Norton County  17922    Valid     Aubrite   1100000.0  Fell   \n",
@@ -2317,8 +2317,8 @@
        "</div>"
       ],
       "text/plain": [
-       "              name     id nametype    recclass    mass (g)  fall   \n",
-       "29         Allende   2278    Valid         CV3   2000000.0  Fell  \\\n",
+       "              name     id nametype    recclass    mass (g)  fall  \\\n",
+       "29         Allende   2278    Valid         CV3   2000000.0  Fell   \n",
        "419          Jilin  12171    Valid          H5   4000000.0  Fell   \n",
        "506  Kunya-Urgench  12379    Valid          H5   1100000.0  Fell   \n",
        "707  Norton County  17922    Valid     Aubrite   1100000.0  Fell   \n",
@@ -2466,7 +2466,7 @@
     {
      "data": {
       "text/plain": [
-       "13278.078548601512"
+       "np.float64(13278.078548601512)"
       ]
      },
      "execution_count": 25,
@@ -2554,7 +2554,7 @@
     {
      "data": {
       "text/plain": [
-       "32.6"
+       "np.float64(32.6)"
       ]
      },
      "execution_count": 27,
@@ -2590,7 +2590,7 @@
     {
      "data": {
       "text/plain": [
-       "60000000.0"
+       "np.float64(60000000.0)"
       ]
      },
      "execution_count": 28,
@@ -2948,8 +2948,8 @@
        "</div>"
       ],
       "text/plain": [
-       "          name            id nametype recclass      mass (g)   fall   \n",
-       "count    45716  45716.000000    45716    45716  4.558500e+04  45716  \\\n",
+       "          name            id nametype recclass      mass (g)   fall  \\\n",
+       "count    45716  45716.000000    45716    45716  4.558500e+04  45716   \n",
        "unique   45716           NaN        2      466           NaN      2   \n",
        "top     Aachen           NaN    Valid       L6           NaN  Found   \n",
        "freq         1           NaN    45641     8285           NaN  44609   \n",
@@ -3252,7 +3252,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/slides/2-data_wrangling.ipynb b/slides/2-data_wrangling.ipynb
index 387a991..1cd823d 100644
--- a/slides/2-data_wrangling.ipynb
+++ b/slides/2-data_wrangling.ipynb
@@ -20,6 +20,7 @@
    "cell_type": "markdown",
    "id": "a0745604-3c71-4c7f-8b5c-b6cc0ecec3c3",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -42,6 +43,7 @@
    "cell_type": "markdown",
    "id": "3cfd9085-0758-475d-846d-a2607bdc478c",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -61,6 +63,7 @@
    "cell_type": "markdown",
    "id": "9848c0e0-b1df-4273-b37a-c155f69db4e0",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -78,7 +81,13 @@
    "cell_type": "code",
    "execution_count": 1,
    "id": "ede5b9c9-32b8-47b7-a120-1ed969c147a3",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -232,29 +241,29 @@
        "</div>"
       ],
       "text/plain": [
-       "   vendorid     tpep_pickup_datetime    tpep_dropoff_datetime   \n",
-       "0         2  2019-10-23T16:39:42.000  2019-10-23T17:14:10.000  \\\n",
+       "   vendorid     tpep_pickup_datetime    tpep_dropoff_datetime  \\\n",
+       "0         2  2019-10-23T16:39:42.000  2019-10-23T17:14:10.000   \n",
        "1         1  2019-10-23T16:32:08.000  2019-10-23T16:45:26.000   \n",
        "2         2  2019-10-23T16:08:44.000  2019-10-23T16:21:11.000   \n",
        "3         2  2019-10-23T16:22:44.000  2019-10-23T16:43:26.000   \n",
        "4         2  2019-10-23T16:45:11.000  2019-10-23T16:58:49.000   \n",
        "\n",
-       "   passenger_count  trip_distance  ratecodeid store_and_fwd_flag   \n",
-       "0                1           7.93           1                  N  \\\n",
+       "   passenger_count  trip_distance  ratecodeid store_and_fwd_flag  \\\n",
+       "0                1           7.93           1                  N   \n",
        "1                1           2.00           1                  N   \n",
        "2                1           1.36           1                  N   \n",
        "3                1           1.00           1                  N   \n",
        "4                1           1.96           1                  N   \n",
        "\n",
-       "   pulocationid  dolocationid  payment_type  fare_amount  extra  mta_tax   \n",
-       "0           138           170             1         29.5    1.0      0.5  \\\n",
+       "   pulocationid  dolocationid  payment_type  fare_amount  extra  mta_tax  \\\n",
+       "0           138           170             1         29.5    1.0      0.5   \n",
        "1            11            26             1         10.5    1.0      0.5   \n",
        "2           163           162             1          9.5    1.0      0.5   \n",
        "3           170           163             1         13.0    1.0      0.5   \n",
        "4           163           236             1         10.5    1.0      0.5   \n",
        "\n",
-       "   tip_amount  tolls_amount  improvement_surcharge  total_amount   \n",
-       "0        7.98          6.12                    0.3         47.90  \\\n",
+       "   tip_amount  tolls_amount  improvement_surcharge  total_amount  \\\n",
+       "0        7.98          6.12                    0.3         47.90   \n",
        "1        0.00          0.00                    0.3         12.30   \n",
        "2        2.00          0.00                    0.3         15.80   \n",
        "3        4.32          0.00                    0.3         21.62   \n",
@@ -283,7 +292,13 @@
   {
    "cell_type": "markdown",
    "id": "3dd3c1fe-19e4-4986-9feb-462d8e6068d6",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "*Source: [NYC Open Data](https://data.cityofnewyork.us/Transportation/2019-Yellow-Taxi-Trip-Data/2upf-qytp) collected via [SODA](https://dev.socrata.com/foundry/data.cityofnewyork.us/2upf-qytp).*"
    ]
@@ -292,6 +307,7 @@
    "cell_type": "markdown",
    "id": "d08f2fdb-87b2-4664-a295-84ce81617c7f",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -309,6 +325,7 @@
    "execution_count": 2,
    "id": "0966f1df-b5c2-4383-aedb-f1d03b2be5d1",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -339,6 +356,7 @@
    "execution_count": 3,
    "id": "6b7cd6d9-a7fb-4be0-9d34-1dd57ddca9c0",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -467,15 +485,15 @@
        "</div>"
       ],
       "text/plain": [
-       "      tpep_pickup_datetime    tpep_dropoff_datetime  passenger_count   \n",
-       "0  2019-10-23T16:39:42.000  2019-10-23T17:14:10.000                1  \\\n",
+       "      tpep_pickup_datetime    tpep_dropoff_datetime  passenger_count  \\\n",
+       "0  2019-10-23T16:39:42.000  2019-10-23T17:14:10.000                1   \n",
        "1  2019-10-23T16:32:08.000  2019-10-23T16:45:26.000                1   \n",
        "2  2019-10-23T16:08:44.000  2019-10-23T16:21:11.000                1   \n",
        "3  2019-10-23T16:22:44.000  2019-10-23T16:43:26.000                1   \n",
        "4  2019-10-23T16:45:11.000  2019-10-23T16:58:49.000                1   \n",
        "\n",
-       "   trip_distance  payment_type  fare_amount  extra  mta_tax  tip_amount   \n",
-       "0           7.93             1         29.5    1.0      0.5        7.98  \\\n",
+       "   trip_distance  payment_type  fare_amount  extra  mta_tax  tip_amount  \\\n",
+       "0           7.93             1         29.5    1.0      0.5        7.98   \n",
        "1           2.00             1         10.5    1.0      0.5        0.00   \n",
        "2           1.36             1          9.5    1.0      0.5        2.00   \n",
        "3           1.00             1         13.0    1.0      0.5        4.32   \n",
@@ -503,6 +521,7 @@
    "cell_type": "markdown",
    "id": "db7f5fca-b5cc-477c-bbf2-3c2cbcc2ae04",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -516,6 +535,7 @@
    "cell_type": "markdown",
    "id": "ad7cdd18-ef14-4a67-a4ad-8a1d8015cbb9",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -533,7 +553,13 @@
    "cell_type": "code",
    "execution_count": 4,
    "id": "b3dbfd72-0d37-4fce-b6c1-a3178afc59b1",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -563,6 +589,7 @@
    "cell_type": "markdown",
    "id": "0750fd20-a823-4eed-961c-d3f0cf9a18aa",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -580,7 +607,13 @@
    "cell_type": "code",
    "execution_count": 5,
    "id": "4654ced7-f1aa-4be8-ba67-d3ce7a4d3a84",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -614,6 +647,7 @@
    "cell_type": "markdown",
    "id": "d847ee9a-93b0-4ae9-a202-2ff99fbd0561",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -627,7 +661,13 @@
    "cell_type": "code",
    "execution_count": 6,
    "id": "d17a0e74-52fc-47ff-b28e-b594e3ce01c2",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -662,7 +702,13 @@
   {
    "cell_type": "markdown",
    "id": "01779303-7f6d-49c7-8a7a-640cfdff2251",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "*Tip: There are other ways to perform type conversion. For numeric values, we can use the `pd.to_numeric()` function, and we will see the `astype()` method, which is a more generic method, a little later.*"
    ]
@@ -671,6 +717,7 @@
    "cell_type": "markdown",
    "id": "989cfa03-5fae-4a9a-82e3-4153ad3f2c27",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -694,6 +741,7 @@
    "execution_count": 7,
    "id": "b95a6701-7070-4525-95f1-44d02b847d8f",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -715,7 +763,13 @@
   {
    "cell_type": "markdown",
    "id": "6c87ad15-a398-46a3-b0d6-d50312f9e5c3",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "*Tip: New to `lambda` functions? These small, anonymous functions can receive multiple arguments, but can only contain one expression (the return value). You will see these a lot in pandas code. Read more about them [here](https://realpython.com/python-lambda/).*"
    ]
@@ -724,6 +778,7 @@
    "cell_type": "markdown",
    "id": "91d1480f-22ca-4092-9f9b-ef0b8fe92226",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -737,7 +792,13 @@
    "cell_type": "code",
    "execution_count": 8,
    "id": "80c0d81d-7d8a-4ecf-9410-37fc2a5c7221",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -828,16 +889,16 @@
        "</div>"
       ],
       "text/plain": [
-       "               pickup             dropoff  passenger_count  trip_distance   \n",
-       "0 2019-10-23 16:39:42 2019-10-23 17:14:10                1           7.93  \\\n",
+       "               pickup             dropoff  passenger_count  trip_distance  \\\n",
+       "0 2019-10-23 16:39:42 2019-10-23 17:14:10                1           7.93   \n",
        "1 2019-10-23 16:32:08 2019-10-23 16:45:26                1           2.00   \n",
        "\n",
-       "   payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount   \n",
-       "0             1         29.5    1.0      0.5        7.98          6.12  \\\n",
+       "   payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount  \\\n",
+       "0             1         29.5    1.0      0.5        7.98          6.12   \n",
        "1             1         10.5    1.0      0.5        0.00          0.00   \n",
        "\n",
-       "   improvement_surcharge  total_amount  congestion_surcharge    elapsed_time   \n",
-       "0                    0.3          47.9                   2.5 0 days 00:34:28  \\\n",
+       "   improvement_surcharge  total_amount  congestion_surcharge    elapsed_time  \\\n",
+       "0                    0.3          47.9                   2.5 0 days 00:34:28   \n",
        "1                    0.3          12.3                   0.0 0 days 00:13:18   \n",
        "\n",
        "   cost_before_tip  tip_pct   fees  avg_speed  \n",
@@ -858,6 +919,7 @@
    "cell_type": "markdown",
    "id": "2753e957-b033-4642-a353-bd369d0672e1",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -873,6 +935,7 @@
    "cell_type": "markdown",
    "id": "c2d275c1-c1c6-4bd2-a645-4921e2955884",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -890,7 +953,13 @@
    "cell_type": "code",
    "execution_count": 9,
    "id": "e22b6e1c-56ae-4800-bedd-bad7006a8a7f",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -1044,22 +1113,22 @@
        "</div>"
       ],
       "text/plain": [
-       "                  pickup             dropoff  passenger_count  trip_distance   \n",
-       "5997 2019-10-23 15:55:19 2019-10-23 16:08:25                6           1.58  \\\n",
+       "                  pickup             dropoff  passenger_count  trip_distance  \\\n",
+       "5997 2019-10-23 15:55:19 2019-10-23 16:08:25                6           1.58   \n",
        "443  2019-10-23 15:56:59 2019-10-23 16:04:33                6           1.46   \n",
        "8722 2019-10-23 15:57:33 2019-10-23 16:03:34                6           0.62   \n",
        "4198 2019-10-23 15:57:38 2019-10-23 16:05:07                6           1.18   \n",
        "8238 2019-10-23 15:58:31 2019-10-23 16:29:29                6           3.23   \n",
        "\n",
-       "      payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount   \n",
-       "5997             2         10.0    1.0      0.5         0.0           0.0  \\\n",
+       "      payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount  \\\n",
+       "5997             2         10.0    1.0      0.5         0.0           0.0   \n",
        "443              2          7.5    1.0      0.5         0.0           0.0   \n",
        "8722             1          5.5    1.0      0.5         0.7           0.0   \n",
        "4198             1          7.0    1.0      0.5         1.0           0.0   \n",
        "8238             2         19.5    1.0      0.5         0.0           0.0   \n",
        "\n",
-       "      improvement_surcharge  total_amount  congestion_surcharge   \n",
-       "5997                    0.3          14.3                   2.5  \\\n",
+       "      improvement_surcharge  total_amount  congestion_surcharge  \\\n",
+       "5997                    0.3          14.3                   2.5   \n",
        "443                     0.3          11.8                   2.5   \n",
        "8722                    0.3          10.5                   2.5   \n",
        "4198                    0.3          12.3                   2.5   \n",
@@ -1086,6 +1155,7 @@
    "cell_type": "markdown",
    "id": "61ae6ae1-1a3d-4e50-bade-15126240e2f5",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -1101,7 +1171,13 @@
    "cell_type": "code",
    "execution_count": 10,
    "id": "a76377c8-b3a7-4da4-b763-36bd974fe89e",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -1213,18 +1289,18 @@
        "</div>"
       ],
       "text/plain": [
-       "                  pickup             dropoff  passenger_count  trip_distance   \n",
-       "7576 2019-10-23 16:52:51 2019-10-24 16:51:44                1           3.75  \\\n",
+       "                  pickup             dropoff  passenger_count  trip_distance  \\\n",
+       "7576 2019-10-23 16:52:51 2019-10-24 16:51:44                1           3.75   \n",
        "6902 2019-10-23 16:51:42 2019-10-24 16:50:22                1          11.19   \n",
        "4975 2019-10-23 16:18:51 2019-10-24 16:17:30                1           0.70   \n",
        "\n",
-       "      payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount   \n",
-       "7576             1         17.5    1.0      0.5         0.0           0.0  \\\n",
+       "      payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount  \\\n",
+       "7576             1         17.5    1.0      0.5         0.0           0.0   \n",
        "6902             2         39.5    1.0      0.5         0.0           0.0   \n",
        "4975             2          7.0    1.0      0.5         0.0           0.0   \n",
        "\n",
-       "      improvement_surcharge  total_amount  congestion_surcharge   \n",
-       "7576                    0.3          21.8                   2.5  \\\n",
+       "      improvement_surcharge  total_amount  congestion_surcharge  \\\n",
+       "7576                    0.3          21.8                   2.5   \n",
        "6902                    0.3          41.3                   0.0   \n",
        "4975                    0.3          11.3                   2.5   \n",
        "\n",
@@ -1247,6 +1323,7 @@
    "cell_type": "markdown",
    "id": "f35f3408-f512-4468-95d0-602a95f930ef",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -1264,6 +1341,7 @@
    "cell_type": "markdown",
    "id": "53f793de-d52d-4cf0-b36a-ea2ab525a5f4",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -1280,6 +1358,7 @@
    "execution_count": 11,
    "id": "2938458e-2767-45ec-a3d8-b0867bc53ec2",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -1372,8 +1451,8 @@
        "</div>"
       ],
       "text/plain": [
-       "                  name     id nametype      recclass        mass   fall   \n",
-       "16392             Hoba  11890    Valid     Iron, IVB  60000000.0  Found  \\\n",
+       "                  name     id nametype      recclass        mass   fall  \\\n",
+       "16392             Hoba  11890    Valid     Iron, IVB  60000000.0  Found   \n",
        "5373         Cape York   5262    Valid   Iron, IIIAB  58200000.0  Found   \n",
        "5365   Campo del Cielo   5247    Valid  Iron, IAB-MG  50000000.0  Found   \n",
        "5370     Canyon Diablo   5257    Valid  Iron, IAB-MG  30000000.0  Found   \n",
@@ -1407,6 +1486,7 @@
    "cell_type": "markdown",
    "id": "e0788e52-404b-480b-bf10-b4e63a2536d5",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -1426,6 +1506,7 @@
    "cell_type": "markdown",
    "id": "65a2afee-3b1a-4fa8-9491-ab323eab54d9",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -1443,6 +1524,7 @@
    "cell_type": "markdown",
    "id": "8a589beb-41f8-4aa2-b5f0-8452b16b75a2",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -1460,7 +1542,13 @@
    "cell_type": "code",
    "execution_count": 12,
    "id": "a83c91d3-40e2-4adc-b729-92376706a58d",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -1588,27 +1676,27 @@
        "</div>"
       ],
       "text/plain": [
-       "                                dropoff  passenger_count  trip_distance   \n",
+       "                                dropoff  passenger_count  trip_distance  \\\n",
        "pickup                                                                    \n",
-       "2019-10-23 16:39:42 2019-10-23 17:14:10                1           7.93  \\\n",
+       "2019-10-23 16:39:42 2019-10-23 17:14:10                1           7.93   \n",
        "2019-10-23 16:32:08 2019-10-23 16:45:26                1           2.00   \n",
        "2019-10-23 16:08:44 2019-10-23 16:21:11                1           1.36   \n",
        "\n",
-       "                     payment_type  fare_amount  extra  mta_tax  tip_amount   \n",
+       "                     payment_type  fare_amount  extra  mta_tax  tip_amount  \\\n",
        "pickup                                                                       \n",
-       "2019-10-23 16:39:42             1         29.5    1.0      0.5        7.98  \\\n",
+       "2019-10-23 16:39:42             1         29.5    1.0      0.5        7.98   \n",
        "2019-10-23 16:32:08             1         10.5    1.0      0.5        0.00   \n",
        "2019-10-23 16:08:44             1          9.5    1.0      0.5        2.00   \n",
        "\n",
-       "                     tolls_amount  improvement_surcharge  total_amount   \n",
+       "                     tolls_amount  improvement_surcharge  total_amount  \\\n",
        "pickup                                                                   \n",
-       "2019-10-23 16:39:42          6.12                    0.3          47.9  \\\n",
+       "2019-10-23 16:39:42          6.12                    0.3          47.9   \n",
        "2019-10-23 16:32:08          0.00                    0.3          12.3   \n",
        "2019-10-23 16:08:44          0.00                    0.3          15.8   \n",
        "\n",
-       "                     congestion_surcharge    elapsed_time  cost_before_tip   \n",
+       "                     congestion_surcharge    elapsed_time  cost_before_tip  \\\n",
        "pickup                                                                       \n",
-       "2019-10-23 16:39:42                   2.5 0 days 00:34:28            39.92  \\\n",
+       "2019-10-23 16:39:42                   2.5 0 days 00:34:28            39.92   \n",
        "2019-10-23 16:32:08                   0.0 0 days 00:13:18            12.30   \n",
        "2019-10-23 16:08:44                   2.5 0 days 00:12:27            13.80   \n",
        "\n",
@@ -1633,6 +1721,7 @@
    "cell_type": "markdown",
    "id": "2b209530-e30a-4ff9-9f70-acb770eba330",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -1648,7 +1737,13 @@
    "cell_type": "code",
    "execution_count": 13,
    "id": "f611ff93-6978-4eab-83ea-c289ccdfd6ff",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "taxis = taxis.sort_index()"
@@ -1658,6 +1753,7 @@
    "cell_type": "markdown",
    "id": "ec63259e-8f77-45d0-ba23-984fba6e95a0",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -1671,6 +1767,7 @@
    "cell_type": "markdown",
    "id": "829f2df1-1ad6-4176-a21c-b8006aa26945",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -1686,7 +1783,13 @@
    "cell_type": "code",
    "execution_count": 14,
    "id": "5fcec2d3-a1d1-4464-a3f1-2a19c5ead98b",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -1814,27 +1917,27 @@
        "</div>"
       ],
       "text/plain": [
-       "                                dropoff  passenger_count  trip_distance   \n",
+       "                                dropoff  passenger_count  trip_distance  \\\n",
        "pickup                                                                    \n",
-       "2019-10-23 07:48:58 2019-10-23 07:52:09                1           0.67  \\\n",
+       "2019-10-23 07:48:58 2019-10-23 07:52:09                1           0.67   \n",
        "2019-10-23 08:02:09 2019-10-24 07:42:32                1           8.38   \n",
        "2019-10-23 08:18:47 2019-10-23 08:36:05                1           2.39   \n",
        "\n",
-       "                     payment_type  fare_amount  extra  mta_tax  tip_amount   \n",
+       "                     payment_type  fare_amount  extra  mta_tax  tip_amount  \\\n",
        "pickup                                                                       \n",
-       "2019-10-23 07:48:58             2          4.5    1.0      0.5         0.0  \\\n",
+       "2019-10-23 07:48:58             2          4.5    1.0      0.5         0.0   \n",
        "2019-10-23 08:02:09             1         32.0    1.0      0.5         5.5   \n",
        "2019-10-23 08:18:47             2         12.5    1.0      0.5         0.0   \n",
        "\n",
-       "                     tolls_amount  improvement_surcharge  total_amount   \n",
+       "                     tolls_amount  improvement_surcharge  total_amount  \\\n",
        "pickup                                                                   \n",
-       "2019-10-23 07:48:58           0.0                    0.3           8.8  \\\n",
+       "2019-10-23 07:48:58           0.0                    0.3           8.8   \n",
        "2019-10-23 08:02:09           0.0                    0.3          41.8   \n",
        "2019-10-23 08:18:47           0.0                    0.3          16.8   \n",
        "\n",
-       "                     congestion_surcharge    elapsed_time  cost_before_tip   \n",
+       "                     congestion_surcharge    elapsed_time  cost_before_tip  \\\n",
        "pickup                                                                       \n",
-       "2019-10-23 07:48:58                   2.5 0 days 00:03:11              8.8  \\\n",
+       "2019-10-23 07:48:58                   2.5 0 days 00:03:11              8.8   \n",
        "2019-10-23 08:02:09                   2.5 0 days 23:40:23             36.3   \n",
        "2019-10-23 08:18:47                   2.5 0 days 00:17:18             16.8   \n",
        "\n",
@@ -1858,6 +1961,7 @@
    "cell_type": "markdown",
    "id": "bc2ade37-8578-47cd-9981-3d702fb459aa",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -1871,7 +1975,13 @@
    "cell_type": "code",
    "execution_count": 15,
    "id": "f0a86342-95f1-4561-8b07-7b97f1e4e887",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -1979,24 +2089,24 @@
        "</div>"
       ],
       "text/plain": [
-       "                                dropoff  passenger_count  trip_distance   \n",
+       "                                dropoff  passenger_count  trip_distance  \\\n",
        "pickup                                                                    \n",
-       "2019-10-23 08:02:09 2019-10-24 07:42:32                1           8.38  \\\n",
+       "2019-10-23 08:02:09 2019-10-24 07:42:32                1           8.38   \n",
        "2019-10-23 08:18:47 2019-10-23 08:36:05                1           2.39   \n",
        "\n",
-       "                     payment_type  fare_amount  extra  mta_tax  tip_amount   \n",
+       "                     payment_type  fare_amount  extra  mta_tax  tip_amount  \\\n",
        "pickup                                                                       \n",
-       "2019-10-23 08:02:09             1         32.0    1.0      0.5         5.5  \\\n",
+       "2019-10-23 08:02:09             1         32.0    1.0      0.5         5.5   \n",
        "2019-10-23 08:18:47             2         12.5    1.0      0.5         0.0   \n",
        "\n",
-       "                     tolls_amount  improvement_surcharge  total_amount   \n",
+       "                     tolls_amount  improvement_surcharge  total_amount  \\\n",
        "pickup                                                                   \n",
-       "2019-10-23 08:02:09           0.0                    0.3          41.8  \\\n",
+       "2019-10-23 08:02:09           0.0                    0.3          41.8   \n",
        "2019-10-23 08:18:47           0.0                    0.3          16.8   \n",
        "\n",
-       "                     congestion_surcharge    elapsed_time  cost_before_tip   \n",
+       "                     congestion_surcharge    elapsed_time  cost_before_tip  \\\n",
        "pickup                                                                       \n",
-       "2019-10-23 08:02:09                   2.5 0 days 23:40:23             36.3  \\\n",
+       "2019-10-23 08:02:09                   2.5 0 days 23:40:23             36.3   \n",
        "2019-10-23 08:18:47                   2.5 0 days 00:17:18             16.8   \n",
        "\n",
        "                      tip_pct  fees  avg_speed  \n",
@@ -2018,6 +2128,7 @@
    "cell_type": "markdown",
    "id": "71c7720b-8503-4643-a552-10965b59c624",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -2035,7 +2146,13 @@
    "cell_type": "code",
    "execution_count": 16,
    "id": "c2a21903-3ad8-4dba-9169-eba54743f434",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -2189,22 +2306,22 @@
        "</div>"
       ],
       "text/plain": [
-       "               pickup             dropoff  passenger_count  trip_distance   \n",
-       "0 2019-10-23 07:05:34 2019-10-23 08:03:16                3          14.68  \\\n",
+       "               pickup             dropoff  passenger_count  trip_distance  \\\n",
+       "0 2019-10-23 07:05:34 2019-10-23 08:03:16                3          14.68   \n",
        "1 2019-10-23 07:48:58 2019-10-23 07:52:09                1           0.67   \n",
        "2 2019-10-23 08:02:09 2019-10-24 07:42:32                1           8.38   \n",
        "3 2019-10-23 08:18:47 2019-10-23 08:36:05                1           2.39   \n",
        "4 2019-10-23 09:27:16 2019-10-23 09:33:13                2           1.11   \n",
        "\n",
-       "   payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount   \n",
-       "0             1         50.0    1.0      0.5         4.0           0.0  \\\n",
+       "   payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount  \\\n",
+       "0             1         50.0    1.0      0.5         4.0           0.0   \n",
        "1             2          4.5    1.0      0.5         0.0           0.0   \n",
        "2             1         32.0    1.0      0.5         5.5           0.0   \n",
        "3             2         12.5    1.0      0.5         0.0           0.0   \n",
        "4             2          6.0    1.0      0.5         0.0           0.0   \n",
        "\n",
-       "   improvement_surcharge  total_amount  congestion_surcharge    elapsed_time   \n",
-       "0                    0.3          55.8                   0.0 0 days 00:57:42  \\\n",
+       "   improvement_surcharge  total_amount  congestion_surcharge    elapsed_time  \\\n",
+       "0                    0.3          55.8                   0.0 0 days 00:57:42   \n",
        "1                    0.3           8.8                   2.5 0 days 00:03:11   \n",
        "2                    0.3          41.8                   2.5 0 days 23:40:23   \n",
        "3                    0.3          16.8                   2.5 0 days 00:17:18   \n",
@@ -2232,6 +2349,7 @@
    "cell_type": "markdown",
    "id": "316d01c1-c8cb-4c56-8496-3402d007e8d0",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -2255,6 +2373,7 @@
    "cell_type": "markdown",
    "id": "8d00bb60-3e40-4283-8820-6ad571ddc110",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -2271,6 +2390,7 @@
    "execution_count": 17,
    "id": "e402ec63-0fe9-44c2-9564-5726f2c84cc9",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -2381,9 +2501,9 @@
        "</div>"
       ],
       "text/plain": [
-       "            name nametype         recclass  mass (g)   fall    year    reclat   \n",
+       "            name nametype         recclass  mass (g)   fall    year    reclat  \\\n",
        "id                                                                              \n",
-       "10036     Enigma    Valid               H4      94.0  Found  1967.0  31.33333  \\\n",
+       "10036     Enigma    Valid               H4      94.0  Found  1967.0  31.33333   \n",
        "10037       Enon    Valid  Iron, ungrouped     763.0  Found  1883.0  39.86667   \n",
        "10038      Enshi    Valid               H5    8000.0   Fell  1974.0  30.30000   \n",
        "10039  Ensisheim    Valid              LL6  127000.0   Fell  1491.0  47.86667   \n",
@@ -2415,6 +2535,7 @@
    "cell_type": "markdown",
    "id": "08e03522-8d67-43a6-ba35-eca5432f2822",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -2436,6 +2557,7 @@
    "cell_type": "markdown",
    "id": "fa11fd1a-cbf0-4338-b5cb-7e94d9a2815e",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -2450,6 +2572,7 @@
    "execution_count": 18,
    "id": "187dd516-27b7-49b1-b2f3-b5084b743320",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -2483,6 +2606,7 @@
    "cell_type": "markdown",
    "id": "b0ab2e51-a49d-486e-ad09-aaa39f0d4358",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -2496,7 +2620,13 @@
    "cell_type": "code",
    "execution_count": 19,
    "id": "ef66c16e-1546-4831-8cdb-51d92f3c81bc",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -2563,9 +2693,9 @@
        "</div>"
       ],
       "text/plain": [
-       "                        name nametype recclass  mass (g)   fall    year   \n",
+       "                        name nametype recclass  mass (g)   fall    year  \\\n",
        "id                                                                        \n",
-       "57150  Northwest Africa 7701    Valid      CK6      55.0  Found  2101.0  \\\n",
+       "57150  Northwest Africa 7701    Valid      CK6      55.0  Found  2101.0   \n",
        "\n",
        "       reclat  reclong GeoLocation  pre_1970  \n",
        "id                                            \n",
@@ -2584,7 +2714,13 @@
   {
    "cell_type": "markdown",
    "id": "10b3e913-e6d0-4b61-928e-da3eca59b08d",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "###### Oops! This meteorite actually was found in 2010 (more information [here](https://www.lpi.usra.edu/meteor/metbull.php?code=57150))."
    ]
@@ -2593,6 +2729,7 @@
    "cell_type": "markdown",
    "id": "1a4e882e-d57d-40d6-ac10-9463303080f2",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -2612,6 +2749,7 @@
    "cell_type": "markdown",
    "id": "02934923-bf47-4245-ab1d-758bf221eb21",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -2630,8 +2768,9 @@
    "execution_count": 20,
    "id": "b06e3e74-cf37-418e-966d-4b98d3c4ec71",
    "metadata": {
+    "editable": true,
     "slideshow": {
-     "slide_type": "fragment"
+     "slide_type": ""
     },
     "tags": []
    },
@@ -2704,8 +2843,8 @@
        "</div>"
       ],
       "text/plain": [
-       "        Date  2021 Traveler Throughput  2020 Traveler Throughput   \n",
-       "0 2021-05-14                 1716561.0                    250467  \\\n",
+       "        Date  2021 Traveler Throughput  2020 Traveler Throughput  \\\n",
+       "0 2021-05-14                 1716561.0                    250467   \n",
        "1 2021-05-13                 1743515.0                    234928   \n",
        "2 2021-05-12                 1424664.0                    176667   \n",
        "3 2021-05-11                 1315493.0                    163205   \n",
@@ -2732,7 +2871,13 @@
   {
    "cell_type": "markdown",
    "id": "fe40e4dc-fcb9-41f6-b198-feed4f4069b4",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "*Source: [TSA.gov](https://www.tsa.gov/coronavirus/passenger-throughput)*"
    ]
@@ -2741,6 +2886,7 @@
    "cell_type": "markdown",
    "id": "c5f42086-13f3-452d-8878-57f6cf0f97d1",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -2754,7 +2900,13 @@
    "cell_type": "code",
    "execution_count": 21,
    "id": "4f7e3c3d-b830-4ac5-957e-778a72e58185",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -2846,19 +2998,232 @@
    "cell_type": "markdown",
    "id": "6e24d581-09cb-47f5-8ca6-8b71bc41d1d4",
    "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "fragment"
+    },
+    "tags": []
+   },
+   "source": [
+    "Now, we can work on reshaping it into two columns: the date and the traveler throughput from 2019 through 2021."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fa35300e-9a40-4ea2-8c20-adf98c2e1568",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "subslide"
+    },
+    "tags": []
+   },
+   "source": [
+    "Starting with the long-format data below, we want to **melt** it into wide-format data so that we can look at the evolution of the throughput over time:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "00789ab3-9d92-4c68-aefe-c9097df8ff13",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "#T_23824_row0_col1, #T_23824_row1_col1 {\n",
+       "  background-color: pink;\n",
+       "}\n",
+       "#T_23824_row0_col2, #T_23824_row1_col2 {\n",
+       "  background-color: skyblue;\n",
+       "}\n",
+       "#T_23824_row0_col3, #T_23824_row1_col3 {\n",
+       "  background-color: lightgreen;\n",
+       "}\n",
+       "#T_23824_level0_col1 {\n",
+       "  background-color: pink;\n",
+       "}\n",
+       "#T_23824_level0_col2 {\n",
+       "  background-color: skyblue;\n",
+       "}\n",
+       "#T_23824_level0_col3 {\n",
+       "  background-color: lightgreen;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_23824\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_23824_level0_col0\" class=\"col_heading level0 col0\" >date</th>\n",
+       "      <th id=\"T_23824_level0_col1\" class=\"col_heading level0 col1\" >2021</th>\n",
+       "      <th id=\"T_23824_level0_col2\" class=\"col_heading level0 col2\" >2020</th>\n",
+       "      <th id=\"T_23824_level0_col3\" class=\"col_heading level0 col3\" >2019</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_23824_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+       "      <td id=\"T_23824_row0_col0\" class=\"data row0 col0\" >2021-05-14 00:00:00</td>\n",
+       "      <td id=\"T_23824_row0_col1\" class=\"data row0 col1\" >1716561.000000</td>\n",
+       "      <td id=\"T_23824_row0_col2\" class=\"data row0 col2\" >250467</td>\n",
+       "      <td id=\"T_23824_row0_col3\" class=\"data row0 col3\" >2664549</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_23824_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+       "      <td id=\"T_23824_row1_col0\" class=\"data row1 col0\" >2021-05-13 00:00:00</td>\n",
+       "      <td id=\"T_23824_row1_col1\" class=\"data row1 col1\" >1743515.000000</td>\n",
+       "      <td id=\"T_23824_row1_col2\" class=\"data row1 col2\" >234928</td>\n",
+       "      <td id=\"T_23824_row1_col3\" class=\"data row1 col3\" >2611324</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x11f6eb0e0>"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from utils import highlight_long_format\n",
+    "\n",
+    "colors = {'2021': 'pink', '2020': 'skyblue', '2019': 'lightgreen'}\n",
+    "highlight_long_format(tsa.head(2), colors)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "55d4ae45-0a86-46af-89b6-4c78ce1cd688",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "fragment"
+    },
+    "tags": []
+   },
+   "source": [
+    "Note that the two rows above contain the same data as the six rows below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "b0a77c53-3ba9-4bf1-a8cf-b128962e6b8f",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "#T_ef5a8_row0_col1, #T_ef5a8_row0_col2, #T_ef5a8_row1_col1, #T_ef5a8_row1_col2 {\n",
+       "  background-color: pink;\n",
+       "}\n",
+       "#T_ef5a8_row2_col1, #T_ef5a8_row2_col2, #T_ef5a8_row3_col1, #T_ef5a8_row3_col2 {\n",
+       "  background-color: skyblue;\n",
+       "}\n",
+       "#T_ef5a8_row4_col1, #T_ef5a8_row4_col2, #T_ef5a8_row5_col1, #T_ef5a8_row5_col2 {\n",
+       "  background-color: lightgreen;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_ef5a8\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_ef5a8_level0_col0\" class=\"col_heading level0 col0\" >date</th>\n",
+       "      <th id=\"T_ef5a8_level0_col1\" class=\"col_heading level0 col1\" >year</th>\n",
+       "      <th id=\"T_ef5a8_level0_col2\" class=\"col_heading level0 col2\" >travelers</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_ef5a8_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+       "      <td id=\"T_ef5a8_row0_col0\" class=\"data row0 col0\" >2021-05-14 00:00:00</td>\n",
+       "      <td id=\"T_ef5a8_row0_col1\" class=\"data row0 col1\" >2021</td>\n",
+       "      <td id=\"T_ef5a8_row0_col2\" class=\"data row0 col2\" >1716561.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_ef5a8_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+       "      <td id=\"T_ef5a8_row1_col0\" class=\"data row1 col0\" >2021-05-13 00:00:00</td>\n",
+       "      <td id=\"T_ef5a8_row1_col1\" class=\"data row1 col1\" >2021</td>\n",
+       "      <td id=\"T_ef5a8_row1_col2\" class=\"data row1 col2\" >1743515.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_ef5a8_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+       "      <td id=\"T_ef5a8_row2_col0\" class=\"data row2 col0\" >2020-05-14 00:00:00</td>\n",
+       "      <td id=\"T_ef5a8_row2_col1\" class=\"data row2 col1\" >2020</td>\n",
+       "      <td id=\"T_ef5a8_row2_col2\" class=\"data row2 col2\" >250467.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_ef5a8_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
+       "      <td id=\"T_ef5a8_row3_col0\" class=\"data row3 col0\" >2020-05-13 00:00:00</td>\n",
+       "      <td id=\"T_ef5a8_row3_col1\" class=\"data row3 col1\" >2020</td>\n",
+       "      <td id=\"T_ef5a8_row3_col2\" class=\"data row3 col2\" >234928.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_ef5a8_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
+       "      <td id=\"T_ef5a8_row4_col0\" class=\"data row4 col0\" >2019-05-14 00:00:00</td>\n",
+       "      <td id=\"T_ef5a8_row4_col1\" class=\"data row4 col1\" >2019</td>\n",
+       "      <td id=\"T_ef5a8_row4_col2\" class=\"data row4 col2\" >2664549.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_ef5a8_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
+       "      <td id=\"T_ef5a8_row5_col0\" class=\"data row5 col0\" >2019-05-13 00:00:00</td>\n",
+       "      <td id=\"T_ef5a8_row5_col1\" class=\"data row5 col1\" >2019</td>\n",
+       "      <td id=\"T_ef5a8_row5_col2\" class=\"data row5 col2\" >2611324.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x11f4e29c0>"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from utils import highlight_wide_format\n",
+    "\n",
+    "highlight_wide_format(tsa.head(2), colors)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3f2d2044-65a1-422c-bff1-d2827ac9e24d",
+   "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
     "tags": []
    },
    "source": [
-    "Now, we can work on reshaping it."
+    "Let's work on making this transformation."
    ]
   },
   {
    "cell_type": "markdown",
    "id": "fd52c051-596f-4962-8e01-e1845f853b7f",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -2874,9 +3239,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 24,
    "id": "d2cf07ed-890c-47f7-9ecb-8412102fd65b",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -2948,7 +3319,7 @@
        "867  2020-12-28  2019  2500396.0"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2966,6 +3337,7 @@
    "cell_type": "markdown",
    "id": "4d7e95ce-c58c-4328-9f97-1a2711b7e8cf",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -2977,9 +3349,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 25,
    "id": "c591736f-19af-4576-a1c2-f308e88e0ba3",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -3051,7 +3429,7 @@
        "867  2019-12-28  2019  2500396.0"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3067,6 +3445,7 @@
    "cell_type": "markdown",
    "id": "acf5a87a-84d9-401c-967f-5db0b46be715",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -3080,9 +3459,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 26,
    "id": "8763d003-24b7-43aa-8a0b-19a437e995b3",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -3140,7 +3525,7 @@
        "134 2021-12-31  2021        NaN"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3153,6 +3538,7 @@
    "cell_type": "markdown",
    "id": "af2bb599-24e4-4395-aea7-e5634bc7e9e3",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -3164,9 +3550,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 27,
    "id": "2bdd2c3a-4e85-497c-8e49-c0f7c1209917",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -3224,7 +3616,7 @@
        "0 2021-05-14  2021  1716561.0"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3238,6 +3630,7 @@
    "cell_type": "markdown",
    "id": "7c1c9dfb-fbba-4ba4-a076-29d253eabe5b",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -3253,9 +3646,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 28,
    "id": "3507eb04-e15a-4d22-9a75-ab998895c563",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -3348,9 +3747,9 @@
        "</div>"
       ],
       "text/plain": [
-       "day_in_march         1          2          3          4          5    \n",
+       "day_in_march         1          2          3          4          5   \\\n",
        "year                                                                  \n",
-       "2019          2257920.0  1979558.0  2143619.0  2402692.0  2543689.0  \\\n",
+       "2019          2257920.0  1979558.0  2143619.0  2402692.0  2543689.0   \n",
        "2020          2089641.0  1736393.0  1877401.0  2130015.0  2198517.0   \n",
        "2021          1049692.0   744812.0   826924.0  1107534.0  1168734.0   \n",
        "\n",
@@ -3361,7 +3760,7 @@
        "2021           992406.0  1278557.0  1119303.0   825745.0   974221.0  "
       ]
      },
-     "execution_count": 26,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3378,6 +3777,7 @@
    "cell_type": "markdown",
    "id": "472179dc-8fbe-4ff2-8df5-0c40d4818827",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -3391,6 +3791,7 @@
    "cell_type": "markdown",
    "id": "abee4e0e-26a4-4c6e-a7eb-0bad992ad955",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -3406,9 +3807,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 29,
    "id": "68607e99-1692-4c48-8579-a43b530dbd75",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -3522,7 +3929,7 @@
        "10            2187298.0  1702686.0   974221.0"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3535,6 +3942,7 @@
    "cell_type": "markdown",
    "id": "fb294961-c185-47cd-a709-e9a02e2e4924",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -3550,9 +3958,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 30,
    "id": "7eef15b0-a0a3-42ae-9d60-a829682aeca0",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -3632,7 +4046,7 @@
        "2019-12-31  New Year's Eve"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3646,6 +4060,7 @@
    "cell_type": "markdown",
    "id": "fc3c6b8b-b7e1-4ac8-a38a-b36ff17bc850",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -3657,9 +4072,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 31,
    "id": "b738bd1b-0c73-4cb6-9616-236fb3ffb8a2",
    "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
     "tags": []
    },
    "outputs": [
@@ -3739,7 +4158,7 @@
        "859 2019-01-05  2019  1975947.0             NaN"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3755,6 +4174,7 @@
    "cell_type": "markdown",
    "id": "ef78ac45-6a52-4719-b531-52ea846f48dd",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -3768,6 +4188,7 @@
    "cell_type": "markdown",
    "id": "00efa48d-b2e3-49c0-bd2a-b073a62f26ab",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -3781,16 +4202,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 32,
    "id": "16e9a948-55fb-4c7d-af08-67a7c718ff8d",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "tsa_melted_holiday_travel = tsa_melted_holidays.assign(\n",
     "    holiday=lambda x:\n",
     "        x.holiday\\\n",
-    "            .fillna(method='ffill', limit=1)\\\n",
-    "            .fillna(method='bfill', limit=2)\n",
+    "            .ffill(limit=1)\\\n",
+    "            .bfill(limit=2)\n",
     ")"
    ]
   },
@@ -3798,19 +4225,21 @@
    "cell_type": "markdown",
    "id": "7228baa8-3fd6-4fcb-a2ef-5ac3f3f566a0",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
     "tags": []
    },
    "source": [
-    "*Tip: Check out the [documentation](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.fillna.html) for the full list of functionality available with the `fillna()` method.*"
+    "*Tip: Check out the [`fillna()` method documentation](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.fillna.html) for additional functionality for replacing `NA`/`NaN` values.*"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "ecc512de-592b-4a8d-8424-ddb4da991e0c",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -3822,9 +4251,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 33,
    "id": "8516dbf4-9c4b-4726-9639-d10a39867928",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -3934,7 +4369,7 @@
        "869 2019-12-26  2019  2470786.0  Christmas Day"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3950,6 +4385,7 @@
    "cell_type": "markdown",
    "id": "63b60c6b-5ab1-41c8-a1ca-3f4640b5894e",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -3969,6 +4405,7 @@
    "cell_type": "markdown",
    "id": "286bf0c8-fd66-472d-8512-60f9da7dfff6",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -3986,6 +4423,7 @@
    "cell_type": "markdown",
    "id": "f5da03b7-84f8-4f7c-b1dd-654910e6b526",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -4000,9 +4438,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 34,
    "id": "22a43bea-1065-404b-843e-38e22c361867",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -4085,9 +4529,9 @@
        "</div>"
       ],
       "text/plain": [
-       "holiday  Christmas Day  Christmas Eve   July 4th  Labor Day  Memorial Day   \n",
+       "holiday  Christmas Day  Christmas Eve   July 4th  Labor Day  Memorial Day  \\\n",
        "year                                                                        \n",
-       "2019         5053366.0      6470862.0  9414228.0  8314811.0     9720691.0  \\\n",
+       "2019         5053366.0      6470862.0  9414228.0  8314811.0     9720691.0   \n",
        "2020         1745242.0      3029810.0  2682541.0  2993653.0     1126253.0   \n",
        "2021               NaN            NaN        NaN        NaN           NaN   \n",
        "\n",
@@ -4098,7 +4542,7 @@
        "2021          1998871.0             NaN           NaN  "
       ]
      },
-     "execution_count": 32,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4114,6 +4558,7 @@
    "cell_type": "markdown",
    "id": "6aacdc27-6ee7-4443-a8bf-2b3e045737e3",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -4127,9 +4572,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 35,
    "id": "107e005d-8c15-4a26-a13c-b99346783ae6",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -4198,34 +4649,34 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2021</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>-0.554856</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "holiday  Christmas Day  Christmas Eve  July 4th  Labor Day  Memorial Day   \n",
+       "holiday  Christmas Day  Christmas Eve  July 4th  Labor Day  Memorial Day  \\\n",
        "year                                                                       \n",
-       "2019               NaN            NaN       NaN        NaN           NaN  \\\n",
+       "2019               NaN            NaN       NaN        NaN           NaN   \n",
        "2020         -0.654638      -0.531776 -0.715055  -0.639961     -0.884139   \n",
-       "2021          0.000000       0.000000  0.000000   0.000000      0.000000   \n",
+       "2021               NaN            NaN       NaN        NaN           NaN   \n",
        "\n",
        "holiday  New Year's Day  New Year's Eve  Thanksgiving  \n",
        "year                                                   \n",
        "2019                NaN             NaN           NaN  \n",
        "2020           0.004224       -0.532176     -0.629903  \n",
-       "2021          -0.554856        0.000000      0.000000  "
+       "2021          -0.554856             NaN           NaN  "
       ]
      },
-     "execution_count": 33,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4234,13 +4685,14 @@
     "tsa_melted_holiday_travel.pivot_table(\n",
     "    index='year', columns='holiday', \n",
     "    values='travelers', aggfunc='sum'\n",
-    ").pct_change()"
+    ").pct_change(fill_method=None)"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "6e9ee5fb-ec4c-487f-8215-51fc1fe93373",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -4254,9 +4706,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 36,
    "id": "9d2a221e-4a76-4f1b-a159-e9f9d8f09719",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "pd.set_option('display.float_format', '{:,.0f}'.format)"
@@ -4266,6 +4724,7 @@
    "cell_type": "markdown",
    "id": "306104af-223c-4628-b6f9-793f77fa7ae8",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -4279,9 +4738,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 37,
    "id": "cdae2ea6-45ef-4fb6-8bd7-bd5940883926",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -4369,9 +4834,9 @@
        "</div>"
       ],
       "text/plain": [
-       "holiday  Christmas   July 4th  Labor Day  Memorial Day  New Year's   \n",
+       "holiday  Christmas   July 4th  Labor Day  Memorial Day  New Year's  \\\n",
        "year                                                                 \n",
-       "2019    11,524,228  9,414,228  8,314,811     9,720,691  11,006,965  \\\n",
+       "2019    11,524,228  9,414,228  8,314,811     9,720,691  11,006,965   \n",
        "2020     4,775,052  2,682,541  2,993,653     1,126,253   7,547,837   \n",
        "2021           NaN        NaN        NaN           NaN   1,998,871   \n",
        "Total   16,299,280 12,096,769 11,308,464    10,846,944  20,553,673   \n",
@@ -4384,7 +4849,7 @@
        "Total      12,454,836 83,559,966  "
       ]
      },
-     "execution_count": 35,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4409,6 +4874,7 @@
    "cell_type": "markdown",
    "id": "ce5d1263-e50e-4760-9a9f-de5d476e110e",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -4422,9 +4888,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 38,
    "id": "17df79b9-6634-4613-8205-047abe035098",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "pd.reset_option('display.float_format')"
@@ -4434,6 +4906,7 @@
    "cell_type": "markdown",
    "id": "8e8e9d4d-2b57-4a8b-9a97-611e521f2c38",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -4447,6 +4920,7 @@
    "cell_type": "markdown",
    "id": "0a368707-1d0c-42af-97c9-83482de776b4",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -4464,6 +4938,7 @@
    "cell_type": "markdown",
    "id": "b9dfbc99-1441-4b6c-bdb8-e61645c67872",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -4477,9 +4952,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 39,
    "id": "2a91f292-c404-4df5-8eac-4bd02cc7ac8e",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -4580,7 +5056,7 @@
        "2009.0   5.0  1492.0          8333.4  1397.25"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4601,6 +5077,7 @@
    "cell_type": "markdown",
    "id": "f6ba37d0-a219-42f7-97d4-6275d663c524",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -4615,9 +5092,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 40,
    "id": "177e3825-4b0f-45f1-a118-9f76bf0a06cb",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -4682,7 +5165,7 @@
        "high            323    44     0"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4702,6 +5185,7 @@
    "cell_type": "markdown",
    "id": "f8628adb-7101-48ff-8c61-ad785eaa8e7b",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -4715,6 +5199,7 @@
    "cell_type": "markdown",
    "id": "900cb77c-7003-4472-a4b4-f0381cf86a57",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -4728,6 +5213,7 @@
    "cell_type": "markdown",
    "id": "74d93b19-2cd3-4bbf-9a65-834216d04cb0",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -4742,9 +5228,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 41,
    "id": "6ad5821d-09d2-438d-8abf-7caddc8235a6",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -4835,10 +5327,10 @@
        "</div>"
       ],
       "text/plain": [
-       "     travelers                                                                 \n",
+       "     travelers                                                                \\\n",
        "         count          mean            std        min        25%        50%   \n",
        "year                                                                           \n",
-       "2019     365.0  2.309482e+06  285061.490784  1534386.0  2091116.0  2358007.0  \\\n",
+       "2019     365.0  2.309482e+06  285061.490784  1534386.0  2091116.0  2358007.0   \n",
        "2020     365.0  8.818674e+05  639775.194297    87534.0   507129.0   718310.0   \n",
        "2021     134.0  1.112632e+06  338040.673782   468933.0   807156.0  1117391.0   \n",
        "\n",
@@ -4850,7 +5342,7 @@
        "2021  1409377.75  1743515.0  "
       ]
      },
-     "execution_count": 39,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4863,6 +5355,7 @@
    "cell_type": "markdown",
    "id": "4c20d991-2579-44f4-b66f-f953ed6b9b8b",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -4876,9 +5369,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 42,
    "id": "6487feec-cb63-4d88-a9a9-2804940d63cf",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -4944,7 +5443,7 @@
        "1   2021-05-13  2021  1743515.0           NaN                 1.0"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4959,6 +5458,7 @@
    "cell_type": "markdown",
    "id": "82c92d64-7f14-4741-a0b2-f32b8aedc233",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -4972,9 +5472,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 43,
    "id": "b04bdf3b-8f96-4dd4-a158-3dfa8097f04c",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -5057,10 +5563,10 @@
        "</div>"
       ],
       "text/plain": [
-       "         travelers                holiday_travelers                  \n",
+       "         travelers                holiday_travelers                 \\\n",
        "              mean            std              mean            std   \n",
        "year                                                                 \n",
-       "2019  2.309482e+06  285061.490784      2.271977e+06  303021.675751  \\\n",
+       "2019  2.309482e+06  285061.490784      2.271977e+06  303021.675751   \n",
        "2020  8.818674e+05  639775.194297      8.649882e+05  489938.240989   \n",
        "2021  1.112632e+06  338040.673782      9.994355e+05  273573.249680   \n",
        "\n",
@@ -5072,7 +5578,7 @@
        "2021          1.114347e+06  339479.298658  "
       ]
      },
-     "execution_count": 41,
+     "execution_count": 43,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5089,6 +5595,7 @@
    "cell_type": "markdown",
    "id": "9e203a6e-b329-44bc-995b-408e1d4e1574",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -5102,6 +5609,7 @@
    "cell_type": "markdown",
    "id": "f9b57329-d84d-4350-8bef-ff6769c78cd7",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -5115,9 +5623,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 44,
    "id": "07871965-12c3-4f45-855c-cd22c5b57d23",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -5197,7 +5711,7 @@
        "2021      9.994355e+05  273573.249680       1     2"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5216,6 +5730,7 @@
    "cell_type": "markdown",
    "id": "af031c62-b9c0-48b6-b655-2885a54ead43",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -5233,6 +5748,7 @@
    "cell_type": "markdown",
    "id": "654f2293-838e-4881-bcf1-eb25e782bc24",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -5246,6 +5762,7 @@
    "cell_type": "markdown",
    "id": "5cfe5493-56b3-4ff0-bbda-bc198dd40264",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -5263,6 +5780,7 @@
    "cell_type": "markdown",
    "id": "2c849ba3-739c-4ee1-84b2-44fd5244001a",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -5276,9 +5794,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 45,
    "id": "e7b7376d-8589-43ca-b16e-ee58a0cc121e",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -5355,9 +5874,9 @@
        "</div>"
       ],
       "text/plain": [
-       "         count          mean            std  min     25%     50%      75%   \n",
+       "         count          mean            std  min     25%     50%      75%  \\\n",
        "fall                                                                        \n",
-       "Fell    1075.0  47070.715023  717067.125826  0.1  686.00  2800.0  10450.0  \\\n",
+       "Fell    1075.0  47070.715023  717067.125826  0.1  686.00  2800.0  10450.0   \n",
        "Found  44510.0  12461.922983  571105.752311  0.0    6.94    30.5    178.0   \n",
        "\n",
        "              max  \n",
@@ -5366,7 +5885,7 @@
        "Found  60000000.0  "
       ]
      },
-     "execution_count": 43,
+     "execution_count": 45,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5382,6 +5901,7 @@
    "cell_type": "markdown",
    "id": "ebae6837-e2fe-4cbf-8f0d-68b25a45036a",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -5401,6 +5921,7 @@
    "cell_type": "markdown",
    "id": "6dc6cb90-17db-41f8-a67d-05d5128186be",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -5418,6 +5939,7 @@
    "cell_type": "markdown",
    "id": "8a469a96-9ed3-4256-9fb8-8b7f1871ed63",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -5433,9 +5955,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 46,
    "id": "faf650aa-1da5-4e4f-ac5f-1a564da22aa1",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "taxis = taxis.set_index('dropoff').sort_index()"
@@ -5445,6 +5973,7 @@
    "cell_type": "markdown",
    "id": "0a424c09-7978-4946-8599-03c5402628e0",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -5456,9 +5985,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 47,
    "id": "9ffb09d0-876c-40bb-aa85-9980d32c8384",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -5566,24 +6101,24 @@
        "</div>"
       ],
       "text/plain": [
-       "                                 pickup  passenger_count  trip_distance   \n",
+       "                                 pickup  passenger_count  trip_distance  \\\n",
        "dropoff                                                                   \n",
-       "2019-10-24 12:30:08 2019-10-23 13:25:42                4           0.76  \\\n",
+       "2019-10-24 12:30:08 2019-10-23 13:25:42                4           0.76   \n",
        "2019-10-24 12:42:01 2019-10-23 13:34:03                2           1.58   \n",
        "\n",
-       "                     payment_type  fare_amount  extra  mta_tax  tip_amount   \n",
+       "                     payment_type  fare_amount  extra  mta_tax  tip_amount  \\\n",
        "dropoff                                                                      \n",
-       "2019-10-24 12:30:08             2          5.0    1.0      0.5        0.00  \\\n",
+       "2019-10-24 12:30:08             2          5.0    1.0      0.5        0.00   \n",
        "2019-10-24 12:42:01             1          7.5    1.0      0.5        2.36   \n",
        "\n",
-       "                     tolls_amount  improvement_surcharge  total_amount   \n",
+       "                     tolls_amount  improvement_surcharge  total_amount  \\\n",
        "dropoff                                                                  \n",
-       "2019-10-24 12:30:08           0.0                    0.3          9.30  \\\n",
+       "2019-10-24 12:30:08           0.0                    0.3          9.30   \n",
        "2019-10-24 12:42:01           0.0                    0.3         14.16   \n",
        "\n",
-       "                     congestion_surcharge    elapsed_time  cost_before_tip   \n",
+       "                     congestion_surcharge    elapsed_time  cost_before_tip  \\\n",
        "dropoff                                                                      \n",
-       "2019-10-24 12:30:08                   2.5 0 days 23:04:26              9.3  \\\n",
+       "2019-10-24 12:30:08                   2.5 0 days 23:04:26              9.3   \n",
        "2019-10-24 12:42:01                   2.5 0 days 23:07:58             11.8   \n",
        "\n",
        "                     tip_pct  fees  avg_speed  \n",
@@ -5592,7 +6127,7 @@
        "2019-10-24 12:42:01      0.2   4.3   0.068301  "
       ]
      },
-     "execution_count": 45,
+     "execution_count": 47,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5605,6 +6140,7 @@
    "cell_type": "markdown",
    "id": "82511690-b84f-40a0-b3ab-2c8e90cb9c72",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -5616,9 +6152,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 48,
    "id": "18c9050c-52fd-47de-a628-5c03d07ea108",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -5726,24 +6268,24 @@
        "</div>"
       ],
       "text/plain": [
-       "                                 pickup  passenger_count  trip_distance   \n",
+       "                                 pickup  passenger_count  trip_distance  \\\n",
        "dropoff                                                                   \n",
-       "2019-10-24 12:30:08 2019-10-23 13:25:42                4           0.76  \\\n",
+       "2019-10-24 12:30:08 2019-10-23 13:25:42                4           0.76   \n",
        "2019-10-24 12:42:01 2019-10-23 13:34:03                2           1.58   \n",
        "\n",
-       "                     payment_type  fare_amount  extra  mta_tax  tip_amount   \n",
+       "                     payment_type  fare_amount  extra  mta_tax  tip_amount  \\\n",
        "dropoff                                                                      \n",
-       "2019-10-24 12:30:08             2          5.0    1.0      0.5        0.00  \\\n",
+       "2019-10-24 12:30:08             2          5.0    1.0      0.5        0.00   \n",
        "2019-10-24 12:42:01             1          7.5    1.0      0.5        2.36   \n",
        "\n",
-       "                     tolls_amount  improvement_surcharge  total_amount   \n",
+       "                     tolls_amount  improvement_surcharge  total_amount  \\\n",
        "dropoff                                                                  \n",
-       "2019-10-24 12:30:08           0.0                    0.3          9.30  \\\n",
+       "2019-10-24 12:30:08           0.0                    0.3          9.30   \n",
        "2019-10-24 12:42:01           0.0                    0.3         14.16   \n",
        "\n",
-       "                     congestion_surcharge    elapsed_time  cost_before_tip   \n",
+       "                     congestion_surcharge    elapsed_time  cost_before_tip  \\\n",
        "dropoff                                                                      \n",
-       "2019-10-24 12:30:08                   2.5 0 days 23:04:26              9.3  \\\n",
+       "2019-10-24 12:30:08                   2.5 0 days 23:04:26              9.3   \n",
        "2019-10-24 12:42:01                   2.5 0 days 23:07:58             11.8   \n",
        "\n",
        "                     tip_pct  fees  avg_speed  \n",
@@ -5752,7 +6294,7 @@
        "2019-10-24 12:42:01      0.2   4.3   0.068301  "
       ]
      },
-     "execution_count": 46,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5765,6 +6307,7 @@
    "cell_type": "markdown",
    "id": "112cc144-f809-48bd-87a1-3333fe1921a7",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -5778,6 +6321,7 @@
    "cell_type": "markdown",
    "id": "0550c385-2705-4b5a-9a5b-53284e0402db",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -5791,9 +6335,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 49,
    "id": "f14b6804-ea6f-43c6-a260-83b576d5de4e",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -5921,27 +6471,27 @@
        "</div>"
       ],
       "text/plain": [
-       "                                 pickup  passenger_count  trip_distance   \n",
+       "                                 pickup  passenger_count  trip_distance  \\\n",
        "dropoff                                                                   \n",
-       "2019-10-23 12:53:49 2019-10-23 12:35:27                5           2.49  \\\n",
+       "2019-10-23 12:53:49 2019-10-23 12:35:27                5           2.49   \n",
        "2019-10-24 12:30:08 2019-10-23 13:25:42                4           0.76   \n",
        "2019-10-24 12:42:01 2019-10-23 13:34:03                2           1.58   \n",
        "\n",
-       "                     payment_type  fare_amount  extra  mta_tax  tip_amount   \n",
+       "                     payment_type  fare_amount  extra  mta_tax  tip_amount  \\\n",
        "dropoff                                                                      \n",
-       "2019-10-23 12:53:49             1         13.5    1.0      0.5        2.20  \\\n",
+       "2019-10-23 12:53:49             1         13.5    1.0      0.5        2.20   \n",
        "2019-10-24 12:30:08             2          5.0    1.0      0.5        0.00   \n",
        "2019-10-24 12:42:01             1          7.5    1.0      0.5        2.36   \n",
        "\n",
-       "                     tolls_amount  improvement_surcharge  total_amount   \n",
+       "                     tolls_amount  improvement_surcharge  total_amount  \\\n",
        "dropoff                                                                  \n",
-       "2019-10-23 12:53:49           0.0                    0.3         20.00  \\\n",
+       "2019-10-23 12:53:49           0.0                    0.3         20.00   \n",
        "2019-10-24 12:30:08           0.0                    0.3          9.30   \n",
        "2019-10-24 12:42:01           0.0                    0.3         14.16   \n",
        "\n",
-       "                     congestion_surcharge    elapsed_time  cost_before_tip   \n",
+       "                     congestion_surcharge    elapsed_time  cost_before_tip  \\\n",
        "dropoff                                                                      \n",
-       "2019-10-23 12:53:49                   2.5 0 days 00:18:22             17.8  \\\n",
+       "2019-10-23 12:53:49                   2.5 0 days 00:18:22             17.8   \n",
        "2019-10-24 12:30:08                   2.5 0 days 23:04:26              9.3   \n",
        "2019-10-24 12:42:01                   2.5 0 days 23:07:58             11.8   \n",
        "\n",
@@ -5952,7 +6502,7 @@
        "2019-10-24 12:42:01  0.200000   4.3   0.068301  "
       ]
      },
-     "execution_count": 47,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5965,6 +6515,7 @@
    "cell_type": "markdown",
    "id": "9fc39b46-d155-4b53-a32c-3c7eb2f82bab",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -5976,267 +6527,29 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a52afa7f-0038-4e35-9cfe-b861feae7fb3",
+   "id": "1bc7af6d-fbd2-4028-99e3-deac76074f63",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
-    "tags": [
-     "id_first-and-last"
-    ]
+    "tags": []
    },
    "source": [
-    "Finally, `head()` and `tail()` limit us to a number of rows, but we may be interested in rows within the first/last 2 hours (or any other time interval) of the data, in which case, we should use `first()` / `last()`:"
+    "For the rest of this section, we will be working with the TSA traveler throughput data. Let's start by setting the index to the `date` column:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
-   "id": "f8efeac6-8eda-433a-88d1-f6f3189c2279",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>pickup</th>\n",
-       "      <th>passenger_count</th>\n",
-       "      <th>trip_distance</th>\n",
-       "      <th>payment_type</th>\n",
-       "      <th>fare_amount</th>\n",
-       "      <th>extra</th>\n",
-       "      <th>mta_tax</th>\n",
-       "      <th>tip_amount</th>\n",
-       "      <th>tolls_amount</th>\n",
-       "      <th>improvement_surcharge</th>\n",
-       "      <th>total_amount</th>\n",
-       "      <th>congestion_surcharge</th>\n",
-       "      <th>elapsed_time</th>\n",
-       "      <th>cost_before_tip</th>\n",
-       "      <th>tip_pct</th>\n",
-       "      <th>fees</th>\n",
-       "      <th>avg_speed</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>dropoff</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2019-10-23 07:52:09</th>\n",
-       "      <td>2019-10-23 07:48:58</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.67</td>\n",
-       "      <td>2</td>\n",
-       "      <td>4.5</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.5</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.3</td>\n",
-       "      <td>8.8</td>\n",
-       "      <td>2.5</td>\n",
-       "      <td>0 days 00:03:11</td>\n",
-       "      <td>8.8</td>\n",
-       "      <td>0.00000</td>\n",
-       "      <td>4.3</td>\n",
-       "      <td>12.628272</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2019-10-23 08:03:16</th>\n",
-       "      <td>2019-10-23 07:05:34</td>\n",
-       "      <td>3</td>\n",
-       "      <td>14.68</td>\n",
-       "      <td>1</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.5</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.3</td>\n",
-       "      <td>55.8</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0 days 00:57:42</td>\n",
-       "      <td>51.8</td>\n",
-       "      <td>0.07722</td>\n",
-       "      <td>1.8</td>\n",
-       "      <td>15.265165</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2019-10-23 08:36:05</th>\n",
-       "      <td>2019-10-23 08:18:47</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2.39</td>\n",
-       "      <td>2</td>\n",
-       "      <td>12.5</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.5</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.3</td>\n",
-       "      <td>16.8</td>\n",
-       "      <td>2.5</td>\n",
-       "      <td>0 days 00:17:18</td>\n",
-       "      <td>16.8</td>\n",
-       "      <td>0.00000</td>\n",
-       "      <td>4.3</td>\n",
-       "      <td>8.289017</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2019-10-23 09:33:13</th>\n",
-       "      <td>2019-10-23 09:27:16</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1.11</td>\n",
-       "      <td>2</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.5</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.3</td>\n",
-       "      <td>7.8</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0 days 00:05:57</td>\n",
-       "      <td>7.8</td>\n",
-       "      <td>0.00000</td>\n",
-       "      <td>1.8</td>\n",
-       "      <td>11.193277</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2019-10-23 09:49:31</th>\n",
-       "      <td>2019-10-23 09:47:25</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.47</td>\n",
-       "      <td>2</td>\n",
-       "      <td>52.0</td>\n",
-       "      <td>4.5</td>\n",
-       "      <td>0.5</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.3</td>\n",
-       "      <td>59.8</td>\n",
-       "      <td>2.5</td>\n",
-       "      <td>0 days 00:02:06</td>\n",
-       "      <td>59.8</td>\n",
-       "      <td>0.00000</td>\n",
-       "      <td>7.8</td>\n",
-       "      <td>13.428571</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                 pickup  passenger_count  trip_distance   \n",
-       "dropoff                                                                   \n",
-       "2019-10-23 07:52:09 2019-10-23 07:48:58                1           0.67  \\\n",
-       "2019-10-23 08:03:16 2019-10-23 07:05:34                3          14.68   \n",
-       "2019-10-23 08:36:05 2019-10-23 08:18:47                1           2.39   \n",
-       "2019-10-23 09:33:13 2019-10-23 09:27:16                2           1.11   \n",
-       "2019-10-23 09:49:31 2019-10-23 09:47:25                2           0.47   \n",
-       "\n",
-       "                     payment_type  fare_amount  extra  mta_tax  tip_amount   \n",
-       "dropoff                                                                      \n",
-       "2019-10-23 07:52:09             2          4.5    1.0      0.5         0.0  \\\n",
-       "2019-10-23 08:03:16             1         50.0    1.0      0.5         4.0   \n",
-       "2019-10-23 08:36:05             2         12.5    1.0      0.5         0.0   \n",
-       "2019-10-23 09:33:13             2          6.0    1.0      0.5         0.0   \n",
-       "2019-10-23 09:49:31             2         52.0    4.5      0.5         0.0   \n",
-       "\n",
-       "                     tolls_amount  improvement_surcharge  total_amount   \n",
-       "dropoff                                                                  \n",
-       "2019-10-23 07:52:09           0.0                    0.3           8.8  \\\n",
-       "2019-10-23 08:03:16           0.0                    0.3          55.8   \n",
-       "2019-10-23 08:36:05           0.0                    0.3          16.8   \n",
-       "2019-10-23 09:33:13           0.0                    0.3           7.8   \n",
-       "2019-10-23 09:49:31           0.0                    0.3          59.8   \n",
-       "\n",
-       "                     congestion_surcharge    elapsed_time  cost_before_tip   \n",
-       "dropoff                                                                      \n",
-       "2019-10-23 07:52:09                   2.5 0 days 00:03:11              8.8  \\\n",
-       "2019-10-23 08:03:16                   0.0 0 days 00:57:42             51.8   \n",
-       "2019-10-23 08:36:05                   2.5 0 days 00:17:18             16.8   \n",
-       "2019-10-23 09:33:13                   0.0 0 days 00:05:57              7.8   \n",
-       "2019-10-23 09:49:31                   2.5 0 days 00:02:06             59.8   \n",
-       "\n",
-       "                     tip_pct  fees  avg_speed  \n",
-       "dropoff                                        \n",
-       "2019-10-23 07:52:09  0.00000   4.3  12.628272  \n",
-       "2019-10-23 08:03:16  0.07722   1.8  15.265165  \n",
-       "2019-10-23 08:36:05  0.00000   4.3   8.289017  \n",
-       "2019-10-23 09:33:13  0.00000   1.8  11.193277  \n",
-       "2019-10-23 09:49:31  0.00000   7.8  13.428571  "
-      ]
-     },
-     "execution_count": 48,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "taxis.first('2H')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "105118a4-4c0f-434c-bc31-eca06ede7120",
-   "metadata": {},
-   "source": [
-    "*Tip: Available date/time offsets can be found in the pandas documentation [here](https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#dateoffset-objects).* "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1bc7af6d-fbd2-4028-99e3-deac76074f63",
+   "execution_count": 50,
+   "id": "327eae28-526b-4f16-a813-164141a793da",
    "metadata": {
+    "editable": true,
     "slideshow": {
-     "slide_type": "subslide"
+     "slide_type": ""
     },
     "tags": []
    },
-   "source": [
-    "For the rest of this section, we will be working with the TSA traveler throughput data. Let's start by setting the index to the `date` column:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "id": "327eae28-526b-4f16-a813-164141a793da",
-   "metadata": {},
    "outputs": [],
    "source": [
     "tsa_melted_holiday_travel = tsa_melted_holiday_travel.set_index('date')"
@@ -6246,6 +6559,7 @@
    "cell_type": "markdown",
    "id": "24dfd787-ac43-451e-b5e5-5aeeabc0bd22",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -6259,9 +6573,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 51,
    "id": "2138f995-7db1-4f0f-b7dc-ad11873d4563",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -6399,7 +6719,7 @@
        "2020-01-10  2020  2183734.0             NaN        495760.0         -238538.0"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 51,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6414,7 +6734,13 @@
   {
    "cell_type": "markdown",
    "id": "c70daf1f-c67c-4f44-8057-1a912aeec044",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "*Tip: To perform operations other than subtraction, take a look at the `shift()` method. It also makes it possible to perform operations across columns.*"
    ]
@@ -6423,6 +6749,7 @@
    "cell_type": "markdown",
    "id": "a2157b7e-ccfe-4f35-9e74-a056e4c15882",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -6432,14 +6759,20 @@
    },
    "source": [
     "### Resampling\n",
-    "We can use resampling to aggregate time series data to a new frequency:"
+    "We can use resampling to aggregate time series data to a new [frequency](https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases):"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 52,
    "id": "6593acbe-6bab-438d-a160-3784f4d3131c",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -6555,20 +6888,21 @@
        "2021-03-31   86094635.0  9.566071e+05  280399.809061"
       ]
      },
-     "execution_count": 51,
+     "execution_count": 52,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "tsa_melted_holiday_travel['2019':'2021-Q1'].select_dtypes(include='number')\\\n",
-    "    .resample('Q').agg(['sum', 'mean', 'std'])"
+    "    .resample('QE').agg(['sum', 'mean', 'std'])"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "824a21af-ca5b-46e6-a31c-fb1bd0e8fa32",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -6586,6 +6920,7 @@
    "cell_type": "markdown",
    "id": "80f7db58-1714-4645-87c4-196971cb7aaa",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -6602,6 +6937,7 @@
    "cell_type": "markdown",
    "id": "15b71997-1107-463b-849b-f3969fa6a592",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -6613,9 +6949,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 53,
    "id": "3dc35819-cc7a-4235-97ed-37ee2351b6ad",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -6753,7 +7095,7 @@
        "2020-01-10  2020  2183734.0             NaN  1.972969e+06  2.072344e+06"
       ]
      },
-     "execution_count": 52,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6771,6 +7113,7 @@
    "cell_type": "markdown",
    "id": "097e50b3-c3d9-4bca-9641-6555b744b431",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -6782,9 +7125,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 54,
    "id": "71ec5579-1f12-4e5e-8ef6-076811dc715e",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "import matplotlib_inline\n",
@@ -6799,7 +7148,13 @@
   {
    "cell_type": "markdown",
    "id": "597d978d-9ba3-4012-8b9a-8eb075fc03bd",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "*Tip: For most use cases, only the first argument is necessary &ndash; we will discuss the second argument in more detail in the next section.*"
    ]
@@ -6808,6 +7163,7 @@
    "cell_type": "markdown",
    "id": "aca1c599-9edd-4fd6-ae9e-6ab99dce776f",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -6819,9 +7175,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 55,
    "id": "a2b79c72-d7b4-45e4-bc2c-4f990d9bf278",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -6834,11 +7196,11 @@
        "  <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
        "   <cc:Work>\n",
        "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
-       "    <dc:date>(c) 2021-2023 Stefanie Molin</dc:date>\n",
+       "    <dc:date>(c) 2021-2024 Stefanie Molin</dc:date>\n",
        "    <dc:format>image/svg+xml</dc:format>\n",
        "    <dc:creator>\n",
        "     <cc:Agent>\n",
-       "      <dc:title>Matplotlib v3.7.1, https://matplotlib.org/</dc:title>\n",
+       "      <dc:title>Matplotlib v3.8.4, https://matplotlib.org/</dc:title>\n",
        "     </cc:Agent>\n",
        "    </dc:creator>\n",
        "   </cc:Work>\n",
@@ -7877,7 +8239,7 @@
        "L 383.779058 151.639797 \n",
        "L 384.668523 177.17847 \n",
        "L 384.668523 177.17847 \n",
-       "\" clip-path=\"url(#pd6e3d2542f)\" style=\"fill: none; stroke: #1f77b4; stroke-opacity: 0.8; stroke-width: 1.5; stroke-linecap: square\"/>\n",
+       "\" clip-path=\"url(#p0c735aba0c)\" style=\"fill: none; stroke: #1f77b4; stroke-opacity: 0.8; stroke-width: 1.5; stroke-linecap: square\"/>\n",
        "   </g>\n",
        "   <g id=\"line2d_15\">\n",
        "    <path d=\"M 60.013977 50.290577 \n",
@@ -8149,7 +8511,7 @@
        "L 383.779058 163.932444 \n",
        "L 384.668523 163.58076 \n",
        "L 384.668523 163.58076 \n",
-       "\" clip-path=\"url(#pd6e3d2542f)\" style=\"fill: none; stroke: #ff7f0e; stroke-opacity: 0.8; stroke-width: 1.5; stroke-linecap: square\"/>\n",
+       "\" clip-path=\"url(#p0c735aba0c)\" style=\"fill: none; stroke: #ff7f0e; stroke-opacity: 0.8; stroke-width: 1.5; stroke-linecap: square\"/>\n",
        "   </g>\n",
        "   <g id=\"line2d_16\">\n",
        "    <path d=\"M 60.013977 50.290577 \n",
@@ -8284,7 +8646,7 @@
        "L 379.331736 176.837332 \n",
        "L 384.668523 176.519776 \n",
        "L 384.668523 176.519776 \n",
-       "\" clip-path=\"url(#pd6e3d2542f)\" style=\"fill: none; stroke: #2ca02c; stroke-opacity: 0.8; stroke-width: 1.5; stroke-linecap: square\"/>\n",
+       "\" clip-path=\"url(#p0c735aba0c)\" style=\"fill: none; stroke: #2ca02c; stroke-opacity: 0.8; stroke-width: 1.5; stroke-linecap: square\"/>\n",
        "   </g>\n",
        "   <g id=\"patch_3\">\n",
        "    <path d=\"M 43.78125 257.326125 \n",
@@ -8695,7 +9057,7 @@
        "  </g>\n",
        " </g>\n",
        " <defs>\n",
-       "  <clipPath id=\"pd6e3d2542f\">\n",
+       "  <clipPath id=\"p0c735aba0c\">\n",
        "   <rect x=\"43.78125\" y=\"22.318125\" width=\"357.12\" height=\"235.008\"/>\n",
        "  </clipPath>\n",
        " </defs>\n",
@@ -8722,6 +9084,7 @@
    "cell_type": "markdown",
    "id": "c0ddbf35-b1f3-487c-b3f9-dfc017937077",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -8737,6 +9100,7 @@
    "cell_type": "markdown",
    "id": "170454cf-2f3f-4f3b-beae-40479acb2a76",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -8754,6 +9118,7 @@
    "cell_type": "markdown",
    "id": "34dece95-55f0-4ab2-932f-5a6ae13093f1",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -8767,9 +9132,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 56,
    "id": "eac8caa8-73c0-4dd7-a8ba-eea5b701f8f7",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "fragment"
     },
@@ -8860,7 +9226,7 @@
        "2019-10-23 19:00:00            98.59       268.00         24.48       25.74"
       ]
      },
-     "execution_count": 55,
+     "execution_count": 56,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8872,7 +9238,7 @@
     "    '../data/2019_Yellow_Taxi_Trip_Data.csv',\n",
     "    parse_dates=True, index_col='tpep_dropoff_datetime'\n",
     ")\n",
-    "taxis.resample('1H')[[\n",
+    "taxis.resample('1h')[[\n",
     "    'trip_distance', 'fare_amount', 'tolls_amount', 'tip_amount'\n",
     "]].sum().nlargest(5, 'tip_amount')"
    ]
@@ -8881,6 +9247,7 @@
    "cell_type": "markdown",
    "id": "71cbab3e-e8f5-48a6-8520-5f9412ff7300",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -8909,7 +9276,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/slides/3-data_visualization.ipynb b/slides/3-data_visualization.ipynb
index 51946fe..b67f152 100644
--- a/slides/3-data_visualization.ipynb
+++ b/slides/3-data_visualization.ipynb
@@ -61,6 +61,7 @@
    "cell_type": "markdown",
    "id": "c9f34c93-4ca5-4893-b02a-ba1844432576",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -81,6 +82,7 @@
    "cell_type": "markdown",
    "id": "bed5ec02-0cbf-4378-bb63-33e0d4e2eb30",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -99,6 +101,7 @@
    "cell_type": "markdown",
    "id": "1e8fa056-2863-4442-9c39-533352b6240e",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
     },
@@ -116,6 +119,7 @@
    "cell_type": "markdown",
    "id": "4d76e200-28d8-417b-bce7-bd4713a30f0a",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -130,6 +134,10 @@
    "execution_count": 1,
    "id": "154aa658-0a4f-4eaa-8f86-c47a4a687633",
    "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
     "tags": []
    },
    "outputs": [
@@ -229,6 +237,7 @@
    "cell_type": "markdown",
    "id": "f4f708b4-7d14-4d6b-9c37-a2dd71998307",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -242,7 +251,13 @@
    "cell_type": "code",
    "execution_count": 2,
    "id": "3addc447-062a-48b8-b1d6-f85ca9565f8f",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "import matplotlib_inline\n",
@@ -257,7 +272,13 @@
   {
    "cell_type": "markdown",
    "id": "46cc6aa3-92f0-4d29-953f-5cfe0f55efab",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "*Note: The second argument is optional and is used here to make the SVG output reproducible by setting the `hashsalt` along with some metadata, which will be used by Matplotlib when generating any SVG output (see the `utils.py` file for more details). Without this argument, different runs of the same plotting code will generate plots that are visually identical, but differ at the HTML level due to different IDs, metadata, etc.*"
    ]
@@ -266,6 +287,7 @@
    "cell_type": "markdown",
    "id": "02bf0fd6-d328-4266-b082-7a9f29507030",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
     },
@@ -276,12 +298,137 @@
    "source": [
     "### Line plots\n",
     "\n",
-    "The `plot()` method will generate line plots for all numeric columns by default:"
+    "Let's continue with the example of rolling and expanding calculations:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 3,
+   "id": "08a8d3b5-ac5a-438b-9fbe-5bd6c27ec526",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>travelers</th>\n",
+       "      <th>holiday</th>\n",
+       "      <th>7D MA</th>\n",
+       "      <th>YTD mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2020-01-01</th>\n",
+       "      <td>2311732.0</td>\n",
+       "      <td>New Year's Day</td>\n",
+       "      <td>2311732.0</td>\n",
+       "      <td>2311732.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-02</th>\n",
+       "      <td>2178656.0</td>\n",
+       "      <td>New Year's Day</td>\n",
+       "      <td>2245194.0</td>\n",
+       "      <td>2245194.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-03</th>\n",
+       "      <td>2422272.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2304220.0</td>\n",
+       "      <td>2304220.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-04</th>\n",
+       "      <td>2210542.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2280800.5</td>\n",
+       "      <td>2280800.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-05</th>\n",
+       "      <td>1806480.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2185936.4</td>\n",
+       "      <td>2185936.4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            travelers         holiday      7D MA   YTD mean\n",
+       "date                                                       \n",
+       "2020-01-01  2311732.0  New Year's Day  2311732.0  2311732.0\n",
+       "2020-01-02  2178656.0  New Year's Day  2245194.0  2245194.0\n",
+       "2020-01-03  2422272.0             NaN  2304220.0  2304220.0\n",
+       "2020-01-04  2210542.0             NaN  2280800.5  2280800.5\n",
+       "2020-01-05  1806480.0             NaN  2185936.4  2185936.4"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "plot_data = tsa_melted_holiday_travel.drop(columns='year').loc['2020'].assign(\n",
+    "    **{\n",
+    "        '7D MA': lambda x: x.travelers.rolling('7D').mean(),\n",
+    "        'YTD mean': lambda x: x.travelers.expanding().mean()\n",
+    "      }\n",
+    ")\n",
+    "plot_data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0d371030-9926-4063-bc8e-e2b38f4c8541",
+   "metadata": {
+    "editable": false,
+    "slideshow": {
+     "slide_type": "subslide"
+    },
+    "tags": []
+   },
+   "source": [
+    "The `plot()` method will generate line plots for all numeric columns by default:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
    "id": "729c9323-a128-46c6-a8b0-2f652ec5e02c",
    "metadata": {},
    "outputs": [
@@ -291,7 +438,7 @@
        "<Axes: title={'center': '2020 TSA Traveler Throughput'}, xlabel='date', ylabel='travelers'>"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -306,11 +453,11 @@
        "  <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
        "   <cc:Work>\n",
        "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
-       "    <dc:date>(c) 2021-2023 Stefanie Molin</dc:date>\n",
+       "    <dc:date>(c) 2021-2024 Stefanie Molin</dc:date>\n",
        "    <dc:format>image/svg+xml</dc:format>\n",
        "    <dc:creator>\n",
        "     <cc:Agent>\n",
-       "      <dc:title>Matplotlib v3.7.1, https://matplotlib.org/</dc:title>\n",
+       "      <dc:title>Matplotlib v3.8.4, https://matplotlib.org/</dc:title>\n",
        "     </cc:Agent>\n",
        "    </dc:creator>\n",
        "   </cc:Work>\n",
@@ -1349,7 +1496,7 @@
        "L 383.779058 151.639797 \n",
        "L 384.668523 177.17847 \n",
        "L 384.668523 177.17847 \n",
-       "\" clip-path=\"url(#p95724de445)\" style=\"fill: none; stroke: #1f77b4; stroke-opacity: 0.8; stroke-width: 1.5; stroke-linecap: square\"/>\n",
+       "\" clip-path=\"url(#pe10e3a9817)\" style=\"fill: none; stroke: #1f77b4; stroke-opacity: 0.8; stroke-width: 1.5; stroke-linecap: square\"/>\n",
        "   </g>\n",
        "   <g id=\"line2d_15\">\n",
        "    <path d=\"M 60.013977 50.290577 \n",
@@ -1621,7 +1768,7 @@
        "L 383.779058 163.932444 \n",
        "L 384.668523 163.58076 \n",
        "L 384.668523 163.58076 \n",
-       "\" clip-path=\"url(#p95724de445)\" style=\"fill: none; stroke: #ff7f0e; stroke-opacity: 0.8; stroke-width: 1.5; stroke-linecap: square\"/>\n",
+       "\" clip-path=\"url(#pe10e3a9817)\" style=\"fill: none; stroke: #ff7f0e; stroke-opacity: 0.8; stroke-width: 1.5; stroke-linecap: square\"/>\n",
        "   </g>\n",
        "   <g id=\"line2d_16\">\n",
        "    <path d=\"M 60.013977 50.290577 \n",
@@ -1756,7 +1903,7 @@
        "L 379.331736 176.837332 \n",
        "L 384.668523 176.519776 \n",
        "L 384.668523 176.519776 \n",
-       "\" clip-path=\"url(#p95724de445)\" style=\"fill: none; stroke: #2ca02c; stroke-opacity: 0.8; stroke-width: 1.5; stroke-linecap: square\"/>\n",
+       "\" clip-path=\"url(#pe10e3a9817)\" style=\"fill: none; stroke: #2ca02c; stroke-opacity: 0.8; stroke-width: 1.5; stroke-linecap: square\"/>\n",
        "   </g>\n",
        "   <g id=\"patch_3\">\n",
        "    <path d=\"M 43.78125 257.326125 \n",
@@ -2167,7 +2314,7 @@
        "  </g>\n",
        " </g>\n",
        " <defs>\n",
-       "  <clipPath id=\"p95724de445\">\n",
+       "  <clipPath id=\"pe10e3a9817\">\n",
        "   <rect x=\"43.78125\" y=\"22.318125\" width=\"357.12\" height=\"235.008\"/>\n",
        "  </clipPath>\n",
        " </defs>\n",
@@ -2182,12 +2329,9 @@
     }
    ],
    "source": [
-    "tsa_melted_holiday_travel.drop(columns='year').loc['2020'].assign(\n",
-    "    **{\n",
-    "        '7D MA': lambda x: x.travelers.rolling('7D').mean(),\n",
-    "        'YTD mean': lambda x: x.travelers.expanding().mean()\n",
-    "      }\n",
-    ").plot(title='2020 TSA Traveler Throughput', ylabel='travelers', alpha=0.8)"
+    "plot_data.plot(\n",
+    "    title='2020 TSA Traveler Throughput', ylabel='travelers', alpha=0.8\n",
+    ")"
    ]
   },
   {
@@ -2222,7 +2366,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "id": "6b4b550f-3bcc-45cf-a35f-000db7cf31bb",
    "metadata": {},
    "outputs": [
@@ -2303,7 +2447,7 @@
        "5      74617773.0   7244733.0         NaN"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2332,17 +2476,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "id": "67a1f840-1935-4dae-89ca-35d55ccb2d3b",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x11edfe850>"
+       "<matplotlib.legend.Legend at 0x103e10770>"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2357,11 +2501,11 @@
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        "   <cc:Work>\n",
        "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
-       "    <dc:date>(c) 2021-2023 Stefanie Molin</dc:date>\n",
+       "    <dc:date>(c) 2021-2024 Stefanie Molin</dc:date>\n",
        "    <dc:format>image/svg+xml</dc:format>\n",
        "    <dc:creator>\n",
        "     <cc:Agent>\n",
-       "      <dc:title>Matplotlib v3.7.1, https://matplotlib.org/</dc:title>\n",
+       "      <dc:title>Matplotlib v3.8.4, https://matplotlib.org/</dc:title>\n",
        "     </cc:Agent>\n",
        "    </dc:creator>\n",
        "   </cc:Work>\n",
@@ -2394,7 +2538,7 @@
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        "L 61.709375 46.305483 \n",
        "z\n",
-       "\" clip-path=\"url(#p2d0205e871)\" style=\"fill: #1f77b4\"/>\n",
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        "   </g>\n",
        "   <g id=\"patch_4\">\n",
        "    <path d=\"M 98.909375 105.478125 \n",
@@ -2402,7 +2546,7 @@
        "L 105.109375 48.357439 \n",
        "L 98.909375 48.357439 \n",
        "z\n",
-       "\" clip-path=\"url(#p2d0205e871)\" style=\"fill: #1f77b4\"/>\n",
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        "    <path d=\"M 136.109375 105.478125 \n",
@@ -2410,7 +2554,7 @@
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        "L 136.109375 33.232448 \n",
        "z\n",
-       "\" clip-path=\"url(#p2d0205e871)\" style=\"fill: #1f77b4\"/>\n",
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@@ -2418,7 +2562,7 @@
        "L 179.509375 35.235815 \n",
        "L 173.309375 35.235815 \n",
        "z\n",
-       "\" clip-path=\"url(#p2d0205e871)\" style=\"fill: #1f77b4\"/>\n",
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        "   </g>\n",
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        "    <path d=\"M 210.509375 105.478125 \n",
@@ -2426,7 +2570,7 @@
        "L 216.709375 31.153117 \n",
        "L 210.509375 31.153117 \n",
        "z\n",
-       "\" clip-path=\"url(#p2d0205e871)\" style=\"fill: #1f77b4\"/>\n",
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        "   </g>\n",
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        "    <path d=\"M 247.709375 105.478125 \n",
@@ -2434,7 +2578,7 @@
        "L 253.909375 29.158846 \n",
        "L 247.709375 29.158846 \n",
        "z\n",
-       "\" clip-path=\"url(#p2d0205e871)\" style=\"fill: #1f77b4\"/>\n",
+       "\" clip-path=\"url(#pa09185341f)\" style=\"fill: #1f77b4\"/>\n",
        "   </g>\n",
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        "    <path d=\"M 284.909375 105.478125 \n",
@@ -2442,7 +2586,7 @@
        "L 291.109375 26.278125 \n",
        "L 284.909375 26.278125 \n",
        "z\n",
-       "\" clip-path=\"url(#p2d0205e871)\" style=\"fill: #1f77b4\"/>\n",
+       "\" clip-path=\"url(#pa09185341f)\" style=\"fill: #1f77b4\"/>\n",
        "   </g>\n",
        "   <g id=\"patch_10\">\n",
        "    <path d=\"M 322.109375 105.478125 \n",
@@ -2450,7 +2594,7 @@
        "L 328.309375 30.995501 \n",
        "L 322.109375 30.995501 \n",
        "z\n",
-       "\" clip-path=\"url(#p2d0205e871)\" style=\"fill: #1f77b4\"/>\n",
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   },
   {
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-   "execution_count": 6,
+   "execution_count": 7,
    "id": "caee65fb-01d9-47ad-b486-e96cb2995bd2",
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   },
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-   "execution_count": 7,
+   "execution_count": 8,
    "id": "f43dcd68-a39a-4cca-add5-8d89f83f9921",
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-       "    <dc:date>(c) 2021-2023 Stefanie Molin</dc:date>\n",
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@@ -6525,7 +6670,7 @@
        "  </g>\n",
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        " <defs>\n",
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@@ -6597,17 +6742,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "id": "12d29c5f-aba9-458e-92aa-1e399c4ef719",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<seaborn.axisgrid.FacetGrid at 0x12fe84cd0>"
+       "<seaborn.axisgrid.FacetGrid at 0x13f538560>"
       ]
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-     "execution_count": 11,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
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        "   <cc:Work>\n",
        "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
-       "    <dc:date>(c) 2021-2023 Stefanie Molin</dc:date>\n",
+       "    <dc:date>(c) 2021-2024 Stefanie Molin</dc:date>\n",
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@@ -12863,7 +13008,7 @@
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        " <defs>\n",
-       "  <clipPath id=\"pbabb56a130\">\n",
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@@ -12935,7 +13080,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 18,
    "id": "63853309-4eb8-4de7-889b-4c4cc5ea33e0",
    "metadata": {},
    "outputs": [
@@ -12950,11 +13095,11 @@
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        "   <cc:Work>\n",
        "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
-       "    <dc:date>(c) 2021-2023 Stefanie Molin</dc:date>\n",
+       "    <dc:date>(c) 2021-2024 Stefanie Molin</dc:date>\n",
        "    <dc:format>image/svg+xml</dc:format>\n",
        "    <dc:creator>\n",
        "     <cc:Agent>\n",
-       "      <dc:title>Matplotlib v3.7.1, https://matplotlib.org/</dc:title>\n",
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@@ -12987,7 +13132,7 @@
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@@ -12995,7 +13140,7 @@
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@@ -13003,7 +13148,7 @@
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@@ -13011,7 +13156,7 @@
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@@ -14210,7 +14355,7 @@
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@@ -14295,7 +14440,7 @@
        "  </g>\n",
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        " <defs>\n",
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@@ -14357,7 +14502,7 @@
   },
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    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 19,
    "id": "018c1147-dfc3-49b1-a579-07850db539ef",
    "metadata": {},
    "outputs": [
@@ -14372,11 +14517,11 @@
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        "   <cc:Work>\n",
        "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
-       "    <dc:date>(c) 2021-2023 Stefanie Molin</dc:date>\n",
+       "    <dc:date>(c) 2021-2024 Stefanie Molin</dc:date>\n",
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        "    <dc:creator>\n",
        "     <cc:Agent>\n",
-       "      <dc:title>Matplotlib v3.7.1, https://matplotlib.org/</dc:title>\n",
+       "      <dc:title>Matplotlib v3.8.4, https://matplotlib.org/</dc:title>\n",
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@@ -16053,7 +16198,7 @@
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@@ -16236,7 +16381,7 @@
        "  </g>\n",
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        " <defs>\n",
-       "  <clipPath id=\"pb1b257dad8\">\n",
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@@ -16344,7 +16489,7 @@
   },
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-   "execution_count": 19,
+   "execution_count": 20,
    "id": "bc5dbd63-4182-4c18-b94c-17bc8c8cd81a",
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@@ -16377,7 +16522,7 @@
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    "id": "a28c948e-a69c-4cbc-b7ea-99ebda67b1c0",
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@@ -16413,7 +16558,7 @@
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@@ -16425,7 +16570,7 @@
        "<Axes: title={'center': 'TSA Traveler Throughput'}, xlabel='year', ylabel='travelers'>"
       ]
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-     "execution_count": 21,
+     "execution_count": 22,
      "metadata": {},
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@@ -16440,11 +16585,11 @@
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        "   <cc:Work>\n",
        "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
-       "    <dc:date>(c) 2021-2023 Stefanie Molin</dc:date>\n",
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diff --git a/slides/4-hands_on_data_analysis_lab.ipynb b/slides/4-hands_on_data_analysis_lab.ipynb
index a97d06d..db254e4 100644
--- a/slides/4-hands_on_data_analysis_lab.ipynb
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@@ -4,6 +4,7 @@
    "cell_type": "markdown",
    "id": "cd969b0d-8764-468e-9ab1-0e7aabbdfa1b",
    "metadata": {
+    "editable": true,
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    "cell_type": "markdown",
    "id": "87f2f8d9-4f35-431a-abcd-a0819e4fc47c",
    "metadata": {
+    "editable": true,
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@@ -64,79 +66,6 @@
     "## Section 4 Complete 🎉\n",
     "<img width=\"30%\" src=\"https://www.pngkey.com/png/detail/246-2469554_panda-anime-png-png-panda.png\" alt=\"Panda Anime Png - Png Panda@pngkey.com\" style=\"min-width: 300px\">"
    ]
-  },
-  {
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-   "id": "b6c1e37c-eff2-4451-9cf4-2c63427ee3af",
-   "metadata": {
-    "slideshow": {
-     "slide_type": "slide"
-    },
-    "tags": [
-     "id_related-content"
-    ]
-   },
-   "source": [
-    "# Related content\n",
-    "\n",
-    "*All examples herein were developed exclusively for this workshop &ndash; check out [Hands-On Data Analysis with Pandas](https://www.amazon.com/Hands-Data-Analysis-Pandas-visualization-dp-1800563450/dp/1800563450/) and my [Beyond the Basics: Data Visualization in Python](https://stefaniemolin.com/workshops/python-data-viz-workshop/) workshop for more.*\n",
-    "\n",
-    "<div style=\"text-align: center;\">\n",
-    "    <img width=\"20%\" src=\"https://raw.githubusercontent.com/stefmolin/Hands-On-Data-Analysis-with-Pandas-2nd-edition/master/_img/pandas_drawing.PNG\" style=\"min-width: 200px\">\n",
-    "    <div><small>\n",
-    "        <a href=\"https://stefaniemolin.com\">stefaniemolin.com</a>\n",
-    "    </small></div>\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "0f37ebbc-a5f8-4a61-8a18-c74528ee1220",
-   "metadata": {
-    "slideshow": {
-     "slide_type": "skip"
-    },
-    "tags": []
-   },
-   "source": [
-    "# Thank you!\n",
-    "\n",
-    "*I hope you enjoyed the session. You can follow my work on the following platforms:*\n",
-    "\n",
-    "\n",
-    "<div style=\"display: flex; justify-content: space-between; align-items: center;\">\n",
-    "    <div style=\"text-align: center; flex-basis: auto; flex-shrink: 2;\">\n",
-    "        <img class=\"qr-code\" width=\"20%\" src=\"https://raw.githubusercontent.com/stefmolin/pandas-workshop/main/media/qr-code.png\">\n",
-    "    </div>\n",
-    "\n",
-    "  <div style=\"flex-basis: 45em; flex-grow: 2; font-size: 80%;\">\n",
-    "    <div style=\"display: flex; justify-content: flex-start; align-items: center;\">\n",
-    "      <i class=\"fa fa-globe fa-2x fa-fw\" style=\"padding-right: 4px\"></i>\n",
-    "      <a href=\"https://stefaniemolin.com\" rel=\"noopener noreferrer\" style=\"font-size: 2em;\">\n",
-    "        stefaniemolin.com\n",
-    "      </a>\n",
-    "    </div>\n",
-    "  <div style=\"display: flex; justify-content: flex-start; align-items: center;\">\n",
-    "    <i class=\"fab fa-github fa-2x fa-fw\" style=\"padding-right: 4px\"></i>\n",
-    "    <a href=\"https://github.com/stefmolin\" rel=\"noopener noreferrer\" style=\"font-size: 2em;\" target=\"_blank\">\n",
-    "      github.com/stefmolin\n",
-    "    </a>\n",
-    "  </div>\n",
-    "  <div style=\"display: flex; justify-content: flex-start; align-items: center;\">\n",
-    "    <i class=\"fab fa-twitter fa-2x fa-fw\" style=\"padding-right: 4px\"></i>\n",
-    "    <a href=\"https://twitter.com/StefanieMolin\" rel=\"noopener noreferrer\" style=\"font-size: 2em;\" target=\"_blank\">\n",
-    "      twitter.com/StefanieMolin\n",
-    "    </a>\n",
-    "  </div>\n",
-    "  <div style=\"display: flex; justify-content: flex-start; align-items: center;\">\n",
-    "    <i class=\"fab fa-linkedin-in fa-2x fa-fw\" style=\"padding-right: 4px\"></i>\n",
-    "    <a href=\"https://linkedin.com/in/stefanie-molin\" rel=\"noopener noreferrer\" style=\"font-size: 2em;\" target=\"_blank\">\n",
-    "      linkedin.com/in/stefanie-molin\n",
-    "    </a>\n",
-    "  </div>\n",
-    "</div>\n",
-    "</div>"
-   ]
   }
  ],
  "metadata": {
@@ -155,7 +84,7 @@
    "name": "python",
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diff --git a/slides/5-outro.ipynb b/slides/5-outro.ipynb
index d6fce47..0300778 100644
--- a/slides/5-outro.ipynb
+++ b/slides/5-outro.ipynb
@@ -1,5 +1,29 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "d8eb612f-36d3-4935-ac0d-fb22911881d4",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    },
+    "tags": [
+     "id_related-content"
+    ]
+   },
+   "source": [
+    "# Related content\n",
+    "\n",
+    "*All examples herein were developed exclusively for this workshop &ndash; check out [Hands-On Data Analysis with Pandas](https://www.amazon.com/Hands-Data-Analysis-Pandas-visualization-dp-1800563450/dp/1800563450/) and my [Beyond the Basics: Data Visualization in Python](https://stefaniemolin.com/workshops/python-data-viz-workshop/) workshop for more.*\n",
+    "\n",
+    "<div style=\"text-align: center;\">\n",
+    "    <img width=\"20%\" src=\"https://raw.githubusercontent.com/stefmolin/Hands-On-Data-Analysis-with-Pandas-2nd-edition/master/_img/pandas_drawing.PNG\" style=\"min-width: 200px\">\n",
+    "    <div><small>\n",
+    "        <a href=\"https://stefaniemolin.com\">stefaniemolin.com</a>\n",
+    "    </small></div>\n",
+    "</div>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "cd8d474a-0d3a-4387-b726-dea2df655ce1",
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 <title>Introduction to Data Analysis Using Pandas workshop slides | Stefanie Molin</title>
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+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
 /*-----------------------------------------------------------------------------
 | Copyright (c) Jupyter Development Team.
 | Copyright (c) 2014-2017, PhosphorJS Contributors
@@ -1001,10726 +794,3020 @@
 | The full license is in the file LICENSE, distributed with this software.
 |----------------------------------------------------------------------------*/
 
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-    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-    color:#ffffff; }
-    .bp3-button.bp3-intent-success:hover, .bp3-button.bp3-intent-success:active, .bp3-button.bp3-intent-success.bp3-active{
-      color:#ffffff; }
-    .bp3-button.bp3-intent-success:hover{
-      background-color:#0d8050;
-      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2); }
-    .bp3-button.bp3-intent-success:active, .bp3-button.bp3-intent-success.bp3-active{
-      background-color:#0a6640;
-      background-image:none;
-      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
-    .bp3-button.bp3-intent-success:disabled, .bp3-button.bp3-intent-success.bp3-disabled{
-      background-color:rgba(15, 153, 96, 0.5);
-      background-image:none;
-      border-color:transparent;
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:rgba(255, 255, 255, 0.6); }
-  .bp3-button.bp3-intent-warning{
-    background-color:#d9822b;
-    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));
-    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-    color:#ffffff; }
-    .bp3-button.bp3-intent-warning:hover, .bp3-button.bp3-intent-warning:active, .bp3-button.bp3-intent-warning.bp3-active{
-      color:#ffffff; }
-    .bp3-button.bp3-intent-warning:hover{
-      background-color:#bf7326;
-      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2); }
-    .bp3-button.bp3-intent-warning:active, .bp3-button.bp3-intent-warning.bp3-active{
-      background-color:#a66321;
-      background-image:none;
-      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
-    .bp3-button.bp3-intent-warning:disabled, .bp3-button.bp3-intent-warning.bp3-disabled{
-      background-color:rgba(217, 130, 43, 0.5);
-      background-image:none;
-      border-color:transparent;
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:rgba(255, 255, 255, 0.6); }
-  .bp3-button.bp3-intent-danger{
-    background-color:#db3737;
-    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));
-    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-    color:#ffffff; }
-    .bp3-button.bp3-intent-danger:hover, .bp3-button.bp3-intent-danger:active, .bp3-button.bp3-intent-danger.bp3-active{
-      color:#ffffff; }
-    .bp3-button.bp3-intent-danger:hover{
-      background-color:#c23030;
-      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2); }
-    .bp3-button.bp3-intent-danger:active, .bp3-button.bp3-intent-danger.bp3-active{
-      background-color:#a82a2a;
-      background-image:none;
-      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
-    .bp3-button.bp3-intent-danger:disabled, .bp3-button.bp3-intent-danger.bp3-disabled{
-      background-color:rgba(219, 55, 55, 0.5);
-      background-image:none;
-      border-color:transparent;
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:rgba(255, 255, 255, 0.6); }
-  .bp3-button[class*="bp3-intent-"] .bp3-button-spinner .bp3-spinner-head{
-    stroke:#ffffff; }
-  .bp3-button.bp3-large,
-  .bp3-large .bp3-button{
-    min-height:40px;
-    min-width:40px;
-    font-size:16px;
-    padding:5px 15px; }
-    .bp3-button.bp3-large::before,
-    .bp3-button.bp3-large > *,
-    .bp3-large .bp3-button::before,
-    .bp3-large .bp3-button > *{
-      margin-right:10px; }
-    .bp3-button.bp3-large:empty::before,
-    .bp3-button.bp3-large > :last-child,
-    .bp3-large .bp3-button:empty::before,
-    .bp3-large .bp3-button > :last-child{
-      margin-right:0; }
-  .bp3-button.bp3-small,
-  .bp3-small .bp3-button{
-    min-height:24px;
-    min-width:24px;
-    padding:0 7px; }
-  .bp3-button.bp3-loading{
-    position:relative; }
-    .bp3-button.bp3-loading[class*="bp3-icon-"]::before{
-      visibility:hidden; }
-    .bp3-button.bp3-loading .bp3-button-spinner{
-      margin:0;
-      position:absolute; }
-    .bp3-button.bp3-loading > :not(.bp3-button-spinner){
-      visibility:hidden; }
-  .bp3-button[class*="bp3-icon-"]::before{
-    font-family:"Icons16", sans-serif;
-    font-size:16px;
-    font-style:normal;
-    font-weight:400;
-    line-height:1;
-    -moz-osx-font-smoothing:grayscale;
-    -webkit-font-smoothing:antialiased;
-    color:#5c7080; }
-  .bp3-button .bp3-icon, .bp3-button .bp3-icon-standard, .bp3-button .bp3-icon-large{
-    color:#5c7080; }
-    .bp3-button .bp3-icon.bp3-align-right, .bp3-button .bp3-icon-standard.bp3-align-right, .bp3-button .bp3-icon-large.bp3-align-right{
-      margin-left:7px; }
-  .bp3-button .bp3-icon:first-child:last-child,
-  .bp3-button .bp3-spinner + .bp3-icon:last-child{
-    margin:0 -7px; }
-  .bp3-dark .bp3-button:not([class*="bp3-intent-"]){
-    background-color:#394b59;
-    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.05)), to(rgba(255, 255, 255, 0)));
-    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0));
-    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-    color:#f5f8fa; }
-    .bp3-dark .bp3-button:not([class*="bp3-intent-"]):hover, .bp3-dark .bp3-button:not([class*="bp3-intent-"]):active, .bp3-dark .bp3-button:not([class*="bp3-intent-"]).bp3-active{
-      color:#f5f8fa; }
-    .bp3-dark .bp3-button:not([class*="bp3-intent-"]):hover{
-      background-color:#30404d;
-      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
-    .bp3-dark .bp3-button:not([class*="bp3-intent-"]):active, .bp3-dark .bp3-button:not([class*="bp3-intent-"]).bp3-active{
-      background-color:#202b33;
-      background-image:none;
-      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
-    .bp3-dark .bp3-button:not([class*="bp3-intent-"]):disabled, .bp3-dark .bp3-button:not([class*="bp3-intent-"]).bp3-disabled{
-      background-color:rgba(57, 75, 89, 0.5);
-      background-image:none;
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:rgba(167, 182, 194, 0.6); }
-      .bp3-dark .bp3-button:not([class*="bp3-intent-"]):disabled.bp3-active, .bp3-dark .bp3-button:not([class*="bp3-intent-"]).bp3-disabled.bp3-active{
-        background:rgba(57, 75, 89, 0.7); }
-    .bp3-dark .bp3-button:not([class*="bp3-intent-"]) .bp3-button-spinner .bp3-spinner-head{
-      background:rgba(16, 22, 26, 0.5);
-      stroke:#8a9ba8; }
-    .bp3-dark .bp3-button:not([class*="bp3-intent-"])[class*="bp3-icon-"]::before{
-      color:#a7b6c2; }
-    .bp3-dark .bp3-button:not([class*="bp3-intent-"]) .bp3-icon, .bp3-dark .bp3-button:not([class*="bp3-intent-"]) .bp3-icon-standard, .bp3-dark .bp3-button:not([class*="bp3-intent-"]) .bp3-icon-large{
-      color:#a7b6c2; }
-  .bp3-dark .bp3-button[class*="bp3-intent-"]{
-    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
-    .bp3-dark .bp3-button[class*="bp3-intent-"]:hover{
-      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
-    .bp3-dark .bp3-button[class*="bp3-intent-"]:active, .bp3-dark .bp3-button[class*="bp3-intent-"].bp3-active{
-      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
-    .bp3-dark .bp3-button[class*="bp3-intent-"]:disabled, .bp3-dark .bp3-button[class*="bp3-intent-"].bp3-disabled{
-      background-image:none;
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:rgba(255, 255, 255, 0.3); }
-    .bp3-dark .bp3-button[class*="bp3-intent-"] .bp3-button-spinner .bp3-spinner-head{
-      stroke:#8a9ba8; }
-  .bp3-button:disabled::before,
-  .bp3-button:disabled .bp3-icon, .bp3-button:disabled .bp3-icon-standard, .bp3-button:disabled .bp3-icon-large, .bp3-button.bp3-disabled::before,
-  .bp3-button.bp3-disabled .bp3-icon, .bp3-button.bp3-disabled .bp3-icon-standard, .bp3-button.bp3-disabled .bp3-icon-large, .bp3-button[class*="bp3-intent-"]::before,
-  .bp3-button[class*="bp3-intent-"] .bp3-icon, .bp3-button[class*="bp3-intent-"] .bp3-icon-standard, .bp3-button[class*="bp3-intent-"] .bp3-icon-large{
-    color:inherit !important; }
-  .bp3-button.bp3-minimal{
-    background:none;
-    -webkit-box-shadow:none;
-            box-shadow:none; }
-    .bp3-button.bp3-minimal:hover{
-      background:rgba(167, 182, 194, 0.3);
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:#182026;
-      text-decoration:none; }
-    .bp3-button.bp3-minimal:active, .bp3-button.bp3-minimal.bp3-active{
-      background:rgba(115, 134, 148, 0.3);
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:#182026; }
-    .bp3-button.bp3-minimal:disabled, .bp3-button.bp3-minimal:disabled:hover, .bp3-button.bp3-minimal.bp3-disabled, .bp3-button.bp3-minimal.bp3-disabled:hover{
-      background:none;
-      color:rgba(92, 112, 128, 0.6);
-      cursor:not-allowed; }
-      .bp3-button.bp3-minimal:disabled.bp3-active, .bp3-button.bp3-minimal:disabled:hover.bp3-active, .bp3-button.bp3-minimal.bp3-disabled.bp3-active, .bp3-button.bp3-minimal.bp3-disabled:hover.bp3-active{
-        background:rgba(115, 134, 148, 0.3); }
-    .bp3-dark .bp3-button.bp3-minimal{
-      background:none;
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:inherit; }
-      .bp3-dark .bp3-button.bp3-minimal:hover, .bp3-dark .bp3-button.bp3-minimal:active, .bp3-dark .bp3-button.bp3-minimal.bp3-active{
-        background:none;
-        -webkit-box-shadow:none;
-                box-shadow:none; }
-      .bp3-dark .bp3-button.bp3-minimal:hover{
-        background:rgba(138, 155, 168, 0.15); }
-      .bp3-dark .bp3-button.bp3-minimal:active, .bp3-dark .bp3-button.bp3-minimal.bp3-active{
-        background:rgba(138, 155, 168, 0.3);
-        color:#f5f8fa; }
-      .bp3-dark .bp3-button.bp3-minimal:disabled, .bp3-dark .bp3-button.bp3-minimal:disabled:hover, .bp3-dark .bp3-button.bp3-minimal.bp3-disabled, .bp3-dark .bp3-button.bp3-minimal.bp3-disabled:hover{
-        background:none;
-        color:rgba(167, 182, 194, 0.6);
-        cursor:not-allowed; }
-        .bp3-dark .bp3-button.bp3-minimal:disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal:disabled:hover.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-disabled:hover.bp3-active{
-          background:rgba(138, 155, 168, 0.3); }
-    .bp3-button.bp3-minimal.bp3-intent-primary{
-      color:#106ba3; }
-      .bp3-button.bp3-minimal.bp3-intent-primary:hover, .bp3-button.bp3-minimal.bp3-intent-primary:active, .bp3-button.bp3-minimal.bp3-intent-primary.bp3-active{
-        background:none;
-        -webkit-box-shadow:none;
-                box-shadow:none;
-        color:#106ba3; }
-      .bp3-button.bp3-minimal.bp3-intent-primary:hover{
-        background:rgba(19, 124, 189, 0.15);
-        color:#106ba3; }
-      .bp3-button.bp3-minimal.bp3-intent-primary:active, .bp3-button.bp3-minimal.bp3-intent-primary.bp3-active{
-        background:rgba(19, 124, 189, 0.3);
-        color:#106ba3; }
-      .bp3-button.bp3-minimal.bp3-intent-primary:disabled, .bp3-button.bp3-minimal.bp3-intent-primary.bp3-disabled{
-        background:none;
-        color:rgba(16, 107, 163, 0.5); }
-        .bp3-button.bp3-minimal.bp3-intent-primary:disabled.bp3-active, .bp3-button.bp3-minimal.bp3-intent-primary.bp3-disabled.bp3-active{
-          background:rgba(19, 124, 189, 0.3); }
-      .bp3-button.bp3-minimal.bp3-intent-primary .bp3-button-spinner .bp3-spinner-head{
-        stroke:#106ba3; }
-      .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary{
-        color:#48aff0; }
-        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary:hover{
-          background:rgba(19, 124, 189, 0.2);
-          color:#48aff0; }
-        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary:active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary.bp3-active{
-          background:rgba(19, 124, 189, 0.3);
-          color:#48aff0; }
-        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary:disabled, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary.bp3-disabled{
-          background:none;
-          color:rgba(72, 175, 240, 0.5); }
-          .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary:disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary.bp3-disabled.bp3-active{
-            background:rgba(19, 124, 189, 0.3); }
-    .bp3-button.bp3-minimal.bp3-intent-success{
-      color:#0d8050; }
-      .bp3-button.bp3-minimal.bp3-intent-success:hover, .bp3-button.bp3-minimal.bp3-intent-success:active, .bp3-button.bp3-minimal.bp3-intent-success.bp3-active{
-        background:none;
-        -webkit-box-shadow:none;
-                box-shadow:none;
-        color:#0d8050; }
-      .bp3-button.bp3-minimal.bp3-intent-success:hover{
-        background:rgba(15, 153, 96, 0.15);
-        color:#0d8050; }
-      .bp3-button.bp3-minimal.bp3-intent-success:active, .bp3-button.bp3-minimal.bp3-intent-success.bp3-active{
-        background:rgba(15, 153, 96, 0.3);
-        color:#0d8050; }
-      .bp3-button.bp3-minimal.bp3-intent-success:disabled, .bp3-button.bp3-minimal.bp3-intent-success.bp3-disabled{
-        background:none;
-        color:rgba(13, 128, 80, 0.5); }
-        .bp3-button.bp3-minimal.bp3-intent-success:disabled.bp3-active, .bp3-button.bp3-minimal.bp3-intent-success.bp3-disabled.bp3-active{
-          background:rgba(15, 153, 96, 0.3); }
-      .bp3-button.bp3-minimal.bp3-intent-success .bp3-button-spinner .bp3-spinner-head{
-        stroke:#0d8050; }
-      .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success{
-        color:#3dcc91; }
-        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success:hover{
-          background:rgba(15, 153, 96, 0.2);
-          color:#3dcc91; }
-        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success:active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success.bp3-active{
-          background:rgba(15, 153, 96, 0.3);
-          color:#3dcc91; }
-        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success:disabled, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success.bp3-disabled{
-          background:none;
-          color:rgba(61, 204, 145, 0.5); }
-          .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success:disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success.bp3-disabled.bp3-active{
-            background:rgba(15, 153, 96, 0.3); }
-    .bp3-button.bp3-minimal.bp3-intent-warning{
-      color:#bf7326; }
-      .bp3-button.bp3-minimal.bp3-intent-warning:hover, .bp3-button.bp3-minimal.bp3-intent-warning:active, .bp3-button.bp3-minimal.bp3-intent-warning.bp3-active{
-        background:none;
-        -webkit-box-shadow:none;
-                box-shadow:none;
-        color:#bf7326; }
-      .bp3-button.bp3-minimal.bp3-intent-warning:hover{
-        background:rgba(217, 130, 43, 0.15);
-        color:#bf7326; }
-      .bp3-button.bp3-minimal.bp3-intent-warning:active, .bp3-button.bp3-minimal.bp3-intent-warning.bp3-active{
-        background:rgba(217, 130, 43, 0.3);
-        color:#bf7326; }
-      .bp3-button.bp3-minimal.bp3-intent-warning:disabled, .bp3-button.bp3-minimal.bp3-intent-warning.bp3-disabled{
-        background:none;
-        color:rgba(191, 115, 38, 0.5); }
-        .bp3-button.bp3-minimal.bp3-intent-warning:disabled.bp3-active, .bp3-button.bp3-minimal.bp3-intent-warning.bp3-disabled.bp3-active{
-          background:rgba(217, 130, 43, 0.3); }
-      .bp3-button.bp3-minimal.bp3-intent-warning .bp3-button-spinner .bp3-spinner-head{
-        stroke:#bf7326; }
-      .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning{
-        color:#ffb366; }
-        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning:hover{
-          background:rgba(217, 130, 43, 0.2);
-          color:#ffb366; }
-        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning:active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning.bp3-active{
-          background:rgba(217, 130, 43, 0.3);
-          color:#ffb366; }
-        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning:disabled, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning.bp3-disabled{
-          background:none;
-          color:rgba(255, 179, 102, 0.5); }
-          .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning:disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning.bp3-disabled.bp3-active{
-            background:rgba(217, 130, 43, 0.3); }
-    .bp3-button.bp3-minimal.bp3-intent-danger{
-      color:#c23030; }
-      .bp3-button.bp3-minimal.bp3-intent-danger:hover, .bp3-button.bp3-minimal.bp3-intent-danger:active, .bp3-button.bp3-minimal.bp3-intent-danger.bp3-active{
-        background:none;
-        -webkit-box-shadow:none;
-                box-shadow:none;
-        color:#c23030; }
-      .bp3-button.bp3-minimal.bp3-intent-danger:hover{
-        background:rgba(219, 55, 55, 0.15);
-        color:#c23030; }
-      .bp3-button.bp3-minimal.bp3-intent-danger:active, .bp3-button.bp3-minimal.bp3-intent-danger.bp3-active{
-        background:rgba(219, 55, 55, 0.3);
-        color:#c23030; }
-      .bp3-button.bp3-minimal.bp3-intent-danger:disabled, .bp3-button.bp3-minimal.bp3-intent-danger.bp3-disabled{
-        background:none;
-        color:rgba(194, 48, 48, 0.5); }
-        .bp3-button.bp3-minimal.bp3-intent-danger:disabled.bp3-active, .bp3-button.bp3-minimal.bp3-intent-danger.bp3-disabled.bp3-active{
-          background:rgba(219, 55, 55, 0.3); }
-      .bp3-button.bp3-minimal.bp3-intent-danger .bp3-button-spinner .bp3-spinner-head{
-        stroke:#c23030; }
-      .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger{
-        color:#ff7373; }
-        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger:hover{
-          background:rgba(219, 55, 55, 0.2);
-          color:#ff7373; }
-        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger:active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger.bp3-active{
-          background:rgba(219, 55, 55, 0.3);
-          color:#ff7373; }
-        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger:disabled, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger.bp3-disabled{
-          background:none;
-          color:rgba(255, 115, 115, 0.5); }
-          .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger:disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger.bp3-disabled.bp3-active{
-            background:rgba(219, 55, 55, 0.3); }
-  .bp3-button.bp3-outlined{
-    background:none;
-    -webkit-box-shadow:none;
-            box-shadow:none;
-    border:1px solid rgba(24, 32, 38, 0.2);
-    -webkit-box-sizing:border-box;
-            box-sizing:border-box; }
-    .bp3-button.bp3-outlined:hover{
-      background:rgba(167, 182, 194, 0.3);
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:#182026;
-      text-decoration:none; }
-    .bp3-button.bp3-outlined:active, .bp3-button.bp3-outlined.bp3-active{
-      background:rgba(115, 134, 148, 0.3);
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:#182026; }
-    .bp3-button.bp3-outlined:disabled, .bp3-button.bp3-outlined:disabled:hover, .bp3-button.bp3-outlined.bp3-disabled, .bp3-button.bp3-outlined.bp3-disabled:hover{
-      background:none;
-      color:rgba(92, 112, 128, 0.6);
-      cursor:not-allowed; }
-      .bp3-button.bp3-outlined:disabled.bp3-active, .bp3-button.bp3-outlined:disabled:hover.bp3-active, .bp3-button.bp3-outlined.bp3-disabled.bp3-active, .bp3-button.bp3-outlined.bp3-disabled:hover.bp3-active{
-        background:rgba(115, 134, 148, 0.3); }
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-      background:none;
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:inherit; }
-      .bp3-dark .bp3-button.bp3-outlined:hover, .bp3-dark .bp3-button.bp3-outlined:active, .bp3-dark .bp3-button.bp3-outlined.bp3-active{
-        background:none;
-        -webkit-box-shadow:none;
-                box-shadow:none; }
-      .bp3-dark .bp3-button.bp3-outlined:hover{
-        background:rgba(138, 155, 168, 0.15); }
-      .bp3-dark .bp3-button.bp3-outlined:active, .bp3-dark .bp3-button.bp3-outlined.bp3-active{
-        background:rgba(138, 155, 168, 0.3);
-        color:#f5f8fa; }
-      .bp3-dark .bp3-button.bp3-outlined:disabled, .bp3-dark .bp3-button.bp3-outlined:disabled:hover, .bp3-dark .bp3-button.bp3-outlined.bp3-disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-disabled:hover{
-        background:none;
-        color:rgba(167, 182, 194, 0.6);
-        cursor:not-allowed; }
-        .bp3-dark .bp3-button.bp3-outlined:disabled.bp3-active, .bp3-dark .bp3-button.bp3-outlined:disabled:hover.bp3-active, .bp3-dark .bp3-button.bp3-outlined.bp3-disabled.bp3-active, .bp3-dark .bp3-button.bp3-outlined.bp3-disabled:hover.bp3-active{
-          background:rgba(138, 155, 168, 0.3); }
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-      color:#106ba3; }
-      .bp3-button.bp3-outlined.bp3-intent-primary:hover, .bp3-button.bp3-outlined.bp3-intent-primary:active, .bp3-button.bp3-outlined.bp3-intent-primary.bp3-active{
-        background:none;
-        -webkit-box-shadow:none;
-                box-shadow:none;
-        color:#106ba3; }
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-        background:rgba(19, 124, 189, 0.15);
-        color:#106ba3; }
-      .bp3-button.bp3-outlined.bp3-intent-primary:active, .bp3-button.bp3-outlined.bp3-intent-primary.bp3-active{
-        background:rgba(19, 124, 189, 0.3);
-        color:#106ba3; }
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-        background:none;
-        color:rgba(16, 107, 163, 0.5); }
-        .bp3-button.bp3-outlined.bp3-intent-primary:disabled.bp3-active, .bp3-button.bp3-outlined.bp3-intent-primary.bp3-disabled.bp3-active{
-          background:rgba(19, 124, 189, 0.3); }
-      .bp3-button.bp3-outlined.bp3-intent-primary .bp3-button-spinner .bp3-spinner-head{
-        stroke:#106ba3; }
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-        color:#48aff0; }
-        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary:hover{
-          background:rgba(19, 124, 189, 0.2);
-          color:#48aff0; }
-        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary:active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary.bp3-active{
-          background:rgba(19, 124, 189, 0.3);
-          color:#48aff0; }
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-          background:none;
-          color:rgba(72, 175, 240, 0.5); }
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-            background:rgba(19, 124, 189, 0.3); }
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-      color:#0d8050; }
-      .bp3-button.bp3-outlined.bp3-intent-success:hover, .bp3-button.bp3-outlined.bp3-intent-success:active, .bp3-button.bp3-outlined.bp3-intent-success.bp3-active{
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-        -webkit-box-shadow:none;
-                box-shadow:none;
-        color:#0d8050; }
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-        background:rgba(15, 153, 96, 0.15);
-        color:#0d8050; }
-      .bp3-button.bp3-outlined.bp3-intent-success:active, .bp3-button.bp3-outlined.bp3-intent-success.bp3-active{
-        background:rgba(15, 153, 96, 0.3);
-        color:#0d8050; }
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-        background:none;
-        color:rgba(13, 128, 80, 0.5); }
-        .bp3-button.bp3-outlined.bp3-intent-success:disabled.bp3-active, .bp3-button.bp3-outlined.bp3-intent-success.bp3-disabled.bp3-active{
-          background:rgba(15, 153, 96, 0.3); }
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-        stroke:#0d8050; }
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-        color:#3dcc91; }
-        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success:hover{
-          background:rgba(15, 153, 96, 0.2);
-          color:#3dcc91; }
-        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success:active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success.bp3-active{
-          background:rgba(15, 153, 96, 0.3);
-          color:#3dcc91; }
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-          background:none;
-          color:rgba(61, 204, 145, 0.5); }
-          .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success:disabled.bp3-active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success.bp3-disabled.bp3-active{
-            background:rgba(15, 153, 96, 0.3); }
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-      color:#bf7326; }
-      .bp3-button.bp3-outlined.bp3-intent-warning:hover, .bp3-button.bp3-outlined.bp3-intent-warning:active, .bp3-button.bp3-outlined.bp3-intent-warning.bp3-active{
-        background:none;
-        -webkit-box-shadow:none;
-                box-shadow:none;
-        color:#bf7326; }
-      .bp3-button.bp3-outlined.bp3-intent-warning:hover{
-        background:rgba(217, 130, 43, 0.15);
-        color:#bf7326; }
-      .bp3-button.bp3-outlined.bp3-intent-warning:active, .bp3-button.bp3-outlined.bp3-intent-warning.bp3-active{
-        background:rgba(217, 130, 43, 0.3);
-        color:#bf7326; }
-      .bp3-button.bp3-outlined.bp3-intent-warning:disabled, .bp3-button.bp3-outlined.bp3-intent-warning.bp3-disabled{
-        background:none;
-        color:rgba(191, 115, 38, 0.5); }
-        .bp3-button.bp3-outlined.bp3-intent-warning:disabled.bp3-active, .bp3-button.bp3-outlined.bp3-intent-warning.bp3-disabled.bp3-active{
-          background:rgba(217, 130, 43, 0.3); }
-      .bp3-button.bp3-outlined.bp3-intent-warning .bp3-button-spinner .bp3-spinner-head{
-        stroke:#bf7326; }
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-        color:#ffb366; }
-        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning:hover{
-          background:rgba(217, 130, 43, 0.2);
-          color:#ffb366; }
-        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning:active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning.bp3-active{
-          background:rgba(217, 130, 43, 0.3);
-          color:#ffb366; }
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-          background:none;
-          color:rgba(255, 179, 102, 0.5); }
-          .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning:disabled.bp3-active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning.bp3-disabled.bp3-active{
-            background:rgba(217, 130, 43, 0.3); }
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-      color:#c23030; }
-      .bp3-button.bp3-outlined.bp3-intent-danger:hover, .bp3-button.bp3-outlined.bp3-intent-danger:active, .bp3-button.bp3-outlined.bp3-intent-danger.bp3-active{
-        background:none;
-        -webkit-box-shadow:none;
-                box-shadow:none;
-        color:#c23030; }
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-        background:rgba(219, 55, 55, 0.15);
-        color:#c23030; }
-      .bp3-button.bp3-outlined.bp3-intent-danger:active, .bp3-button.bp3-outlined.bp3-intent-danger.bp3-active{
-        background:rgba(219, 55, 55, 0.3);
-        color:#c23030; }
-      .bp3-button.bp3-outlined.bp3-intent-danger:disabled, .bp3-button.bp3-outlined.bp3-intent-danger.bp3-disabled{
-        background:none;
-        color:rgba(194, 48, 48, 0.5); }
-        .bp3-button.bp3-outlined.bp3-intent-danger:disabled.bp3-active, .bp3-button.bp3-outlined.bp3-intent-danger.bp3-disabled.bp3-active{
-          background:rgba(219, 55, 55, 0.3); }
-      .bp3-button.bp3-outlined.bp3-intent-danger .bp3-button-spinner .bp3-spinner-head{
-        stroke:#c23030; }
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-        color:#ff7373; }
-        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger:hover{
-          background:rgba(219, 55, 55, 0.2);
-          color:#ff7373; }
-        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger:active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger.bp3-active{
-          background:rgba(219, 55, 55, 0.3);
-          color:#ff7373; }
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-          background:none;
-          color:rgba(255, 115, 115, 0.5); }
-          .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger:disabled.bp3-active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger.bp3-disabled.bp3-active{
-            background:rgba(219, 55, 55, 0.3); }
-    .bp3-button.bp3-outlined:disabled, .bp3-button.bp3-outlined.bp3-disabled, .bp3-button.bp3-outlined:disabled:hover, .bp3-button.bp3-outlined.bp3-disabled:hover{
-      border-color:rgba(92, 112, 128, 0.1); }
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-      border-color:rgba(255, 255, 255, 0.4); }
-      .bp3-dark .bp3-button.bp3-outlined:disabled, .bp3-dark .bp3-button.bp3-outlined:disabled:hover, .bp3-dark .bp3-button.bp3-outlined.bp3-disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-disabled:hover{
-        border-color:rgba(255, 255, 255, 0.2); }
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-      border-color:rgba(16, 107, 163, 0.6); }
-      .bp3-button.bp3-outlined.bp3-intent-primary:disabled, .bp3-button.bp3-outlined.bp3-intent-primary.bp3-disabled{
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-          border-color:rgba(72, 175, 240, 0.2); }
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-      border-color:rgba(13, 128, 80, 0.6); }
-      .bp3-button.bp3-outlined.bp3-intent-success:disabled, .bp3-button.bp3-outlined.bp3-intent-success.bp3-disabled{
-        border-color:rgba(13, 128, 80, 0.2); }
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-        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success:disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success.bp3-disabled{
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-      .bp3-button.bp3-outlined.bp3-intent-warning:disabled, .bp3-button.bp3-outlined.bp3-intent-warning.bp3-disabled{
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-          border-color:rgba(255, 115, 115, 0.2); }
-
-a.bp3-button{
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-  text-decoration:none;
-  -webkit-transition:none;
-  transition:none; }
-  a.bp3-button, a.bp3-button:hover, a.bp3-button:active{
-    color:#182026; }
-  a.bp3-button.bp3-disabled{
-    color:rgba(92, 112, 128, 0.6); }
-
-.bp3-button-text{
-  -webkit-box-flex:0;
-      -ms-flex:0 1 auto;
-          flex:0 1 auto; }
-
-.bp3-button.bp3-align-left .bp3-button-text, .bp3-button.bp3-align-right .bp3-button-text,
-.bp3-button-group.bp3-align-left .bp3-button-text,
-.bp3-button-group.bp3-align-right .bp3-button-text{
-  -webkit-box-flex:1;
-      -ms-flex:1 1 auto;
-          flex:1 1 auto; }
-.bp3-button-group{
-  display:-webkit-inline-box;
-  display:-ms-inline-flexbox;
-  display:inline-flex; }
-  .bp3-button-group .bp3-button{
-    -webkit-box-flex:0;
-        -ms-flex:0 0 auto;
-            flex:0 0 auto;
-    position:relative;
-    z-index:4; }
-    .bp3-button-group .bp3-button:focus{
-      z-index:5; }
-    .bp3-button-group .bp3-button:hover{
-      z-index:6; }
-    .bp3-button-group .bp3-button:active, .bp3-button-group .bp3-button.bp3-active{
-      z-index:7; }
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-      z-index:3; }
-    .bp3-button-group .bp3-button[class*="bp3-intent-"]{
-      z-index:9; }
-      .bp3-button-group .bp3-button[class*="bp3-intent-"]:focus{
-        z-index:10; }
-      .bp3-button-group .bp3-button[class*="bp3-intent-"]:hover{
-        z-index:11; }
-      .bp3-button-group .bp3-button[class*="bp3-intent-"]:active, .bp3-button-group .bp3-button[class*="bp3-intent-"].bp3-active{
-        z-index:12; }
-      .bp3-button-group .bp3-button[class*="bp3-intent-"]:disabled, .bp3-button-group .bp3-button[class*="bp3-intent-"].bp3-disabled{
-        z-index:8; }
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-  .bp3-button-group:not(.bp3-minimal) > .bp3-button:not(:first-child){
-    border-bottom-left-radius:0;
-    border-top-left-radius:0; }
-  .bp3-button-group:not(.bp3-minimal) > .bp3-popover-wrapper:not(:last-child) .bp3-button,
-  .bp3-button-group:not(.bp3-minimal) > .bp3-button:not(:last-child){
-    border-bottom-right-radius:0;
-    border-top-right-radius:0;
-    margin-right:-1px; }
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-    background:none;
-    -webkit-box-shadow:none;
-            box-shadow:none; }
-    .bp3-button-group.bp3-minimal .bp3-button:hover{
-      background:rgba(167, 182, 194, 0.3);
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:#182026;
-      text-decoration:none; }
-    .bp3-button-group.bp3-minimal .bp3-button:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-active{
-      background:rgba(115, 134, 148, 0.3);
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:#182026; }
-    .bp3-button-group.bp3-minimal .bp3-button:disabled, .bp3-button-group.bp3-minimal .bp3-button:disabled:hover, .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled, .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled:hover{
-      background:none;
-      color:rgba(92, 112, 128, 0.6);
-      cursor:not-allowed; }
-      .bp3-button-group.bp3-minimal .bp3-button:disabled.bp3-active, .bp3-button-group.bp3-minimal .bp3-button:disabled:hover.bp3-active, .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled.bp3-active, .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled:hover.bp3-active{
-        background:rgba(115, 134, 148, 0.3); }
-    .bp3-dark .bp3-button-group.bp3-minimal .bp3-button{
-      background:none;
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:inherit; }
-      .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:hover, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-active{
-        background:none;
-        -webkit-box-shadow:none;
-                box-shadow:none; }
-      .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:hover{
-        background:rgba(138, 155, 168, 0.15); }
-      .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-active{
-        background:rgba(138, 155, 168, 0.3);
-        color:#f5f8fa; }
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-        background:none;
-        color:rgba(167, 182, 194, 0.6);
-        cursor:not-allowed; }
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-        color:#106ba3; }
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-        background:rgba(19, 124, 189, 0.15);
-        color:#106ba3; }
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-        background:rgba(19, 124, 189, 0.3);
-        color:#106ba3; }
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-        background:none;
-        color:rgba(16, 107, 163, 0.5); }
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-        color:#48aff0; }
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-            flex:1 1 auto; }
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-    display:-ms-flexbox;
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-  border-radius:3px;
-  padding:10px 12px 9px;
-  position:relative;
-  width:100%; }
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-      .bp3-dark .bp3-callout.bp3-intent-danger > .bp3-icon:first-child,
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-        color:#ff7373; }
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-    margin:20px 0; }
-.bp3-card{
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-  border-radius:3px;
-  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.15), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0);
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-  padding:20px;
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-  transition:transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), box-shadow 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
-  transition:transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), box-shadow 200ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 200ms cubic-bezier(0.4, 1, 0.75, 0.9); }
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-    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0); }
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-.bp3-elevation-0{
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-          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.15), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0); }
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-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0); }
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-.bp3-elevation-1{
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-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4); }
-
-.bp3-elevation-2{
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-  display:flex;
-  -webkit-box-orient:horizontal;
-  -webkit-box-direction:normal;
-      -ms-flex-direction:row;
-          flex-direction:row;
-  -webkit-box-align:stretch;
-      -ms-flex-align:stretch;
-          align-items:stretch; }
-  .bp3-control-group > *{
-    -webkit-box-flex:0;
-        -ms-flex-positive:0;
-            flex-grow:0;
-    -ms-flex-negative:0;
-        flex-shrink:0; }
-  .bp3-control-group > .bp3-fill{
-    -webkit-box-flex:1;
-        -ms-flex-positive:1;
-            flex-grow:1;
-    -ms-flex-negative:1;
-        flex-shrink:1; }
-  .bp3-control-group .bp3-button,
-  .bp3-control-group .bp3-html-select,
-  .bp3-control-group .bp3-input,
-  .bp3-control-group .bp3-select{
-    position:relative; }
-  .bp3-control-group .bp3-input{
-    border-radius:inherit;
-    z-index:2; }
-    .bp3-control-group .bp3-input:focus{
-      border-radius:3px;
-      z-index:14; }
-    .bp3-control-group .bp3-input[class*="bp3-intent"]{
-      z-index:13; }
-      .bp3-control-group .bp3-input[class*="bp3-intent"]:focus{
-        z-index:15; }
-    .bp3-control-group .bp3-input[readonly], .bp3-control-group .bp3-input:disabled, .bp3-control-group .bp3-input.bp3-disabled{
-      z-index:1; }
-  .bp3-control-group .bp3-input-group[class*="bp3-intent"] .bp3-input{
-    z-index:13; }
-    .bp3-control-group .bp3-input-group[class*="bp3-intent"] .bp3-input:focus{
-      z-index:15; }
-  .bp3-control-group .bp3-button,
-  .bp3-control-group .bp3-html-select select,
-  .bp3-control-group .bp3-select select{
-    -webkit-transform:translateZ(0);
-            transform:translateZ(0);
-    border-radius:inherit;
-    z-index:4; }
-    .bp3-control-group .bp3-button:focus,
-    .bp3-control-group .bp3-html-select select:focus,
-    .bp3-control-group .bp3-select select:focus{
-      z-index:5; }
-    .bp3-control-group .bp3-button:hover,
-    .bp3-control-group .bp3-html-select select:hover,
-    .bp3-control-group .bp3-select select:hover{
-      z-index:6; }
-    .bp3-control-group .bp3-button:active,
-    .bp3-control-group .bp3-html-select select:active,
-    .bp3-control-group .bp3-select select:active{
-      z-index:7; }
-    .bp3-control-group .bp3-button[readonly], .bp3-control-group .bp3-button:disabled, .bp3-control-group .bp3-button.bp3-disabled,
-    .bp3-control-group .bp3-html-select select[readonly],
-    .bp3-control-group .bp3-html-select select:disabled,
-    .bp3-control-group .bp3-html-select select.bp3-disabled,
-    .bp3-control-group .bp3-select select[readonly],
-    .bp3-control-group .bp3-select select:disabled,
-    .bp3-control-group .bp3-select select.bp3-disabled{
-      z-index:3; }
-    .bp3-control-group .bp3-button[class*="bp3-intent"],
-    .bp3-control-group .bp3-html-select select[class*="bp3-intent"],
-    .bp3-control-group .bp3-select select[class*="bp3-intent"]{
-      z-index:9; }
-      .bp3-control-group .bp3-button[class*="bp3-intent"]:focus,
-      .bp3-control-group .bp3-html-select select[class*="bp3-intent"]:focus,
-      .bp3-control-group .bp3-select select[class*="bp3-intent"]:focus{
-        z-index:10; }
-      .bp3-control-group .bp3-button[class*="bp3-intent"]:hover,
-      .bp3-control-group .bp3-html-select select[class*="bp3-intent"]:hover,
-      .bp3-control-group .bp3-select select[class*="bp3-intent"]:hover{
-        z-index:11; }
-      .bp3-control-group .bp3-button[class*="bp3-intent"]:active,
-      .bp3-control-group .bp3-html-select select[class*="bp3-intent"]:active,
-      .bp3-control-group .bp3-select select[class*="bp3-intent"]:active{
-        z-index:12; }
-      .bp3-control-group .bp3-button[class*="bp3-intent"][readonly], .bp3-control-group .bp3-button[class*="bp3-intent"]:disabled, .bp3-control-group .bp3-button[class*="bp3-intent"].bp3-disabled,
-      .bp3-control-group .bp3-html-select select[class*="bp3-intent"][readonly],
-      .bp3-control-group .bp3-html-select select[class*="bp3-intent"]:disabled,
-      .bp3-control-group .bp3-html-select select[class*="bp3-intent"].bp3-disabled,
-      .bp3-control-group .bp3-select select[class*="bp3-intent"][readonly],
-      .bp3-control-group .bp3-select select[class*="bp3-intent"]:disabled,
-      .bp3-control-group .bp3-select select[class*="bp3-intent"].bp3-disabled{
-        z-index:8; }
-  .bp3-control-group .bp3-input-group > .bp3-icon,
-  .bp3-control-group .bp3-input-group > .bp3-button,
-  .bp3-control-group .bp3-input-group > .bp3-input-left-container,
-  .bp3-control-group .bp3-input-group > .bp3-input-action{
-    z-index:16; }
-  .bp3-control-group .bp3-select::after,
-  .bp3-control-group .bp3-html-select::after,
-  .bp3-control-group .bp3-select > .bp3-icon,
-  .bp3-control-group .bp3-html-select > .bp3-icon{
-    z-index:17; }
-  .bp3-control-group .bp3-select:focus-within{
-    z-index:5; }
-  .bp3-control-group:not(.bp3-vertical) > *:not(.bp3-divider){
-    margin-right:-1px; }
-  .bp3-control-group:not(.bp3-vertical) > .bp3-divider:not(:first-child){
-    margin-left:6px; }
-  .bp3-dark .bp3-control-group:not(.bp3-vertical) > *:not(.bp3-divider){
-    margin-right:0; }
-  .bp3-dark .bp3-control-group:not(.bp3-vertical) > .bp3-button + .bp3-button{
-    margin-left:1px; }
-  .bp3-control-group .bp3-popover-wrapper,
-  .bp3-control-group .bp3-popover-target{
-    border-radius:inherit; }
-  .bp3-control-group > :first-child{
-    border-radius:3px 0 0 3px; }
-  .bp3-control-group > :last-child{
-    border-radius:0 3px 3px 0;
-    margin-right:0; }
-  .bp3-control-group > :only-child{
-    border-radius:3px;
-    margin-right:0; }
-  .bp3-control-group .bp3-input-group .bp3-button{
-    border-radius:3px; }
-  .bp3-control-group .bp3-numeric-input:not(:first-child) .bp3-input-group{
-    border-bottom-left-radius:0;
-    border-top-left-radius:0; }
-  .bp3-control-group.bp3-fill{
-    width:100%; }
-  .bp3-control-group > .bp3-fill{
-    -webkit-box-flex:1;
-        -ms-flex:1 1 auto;
-            flex:1 1 auto; }
-  .bp3-control-group.bp3-fill > *:not(.bp3-fixed){
-    -webkit-box-flex:1;
-        -ms-flex:1 1 auto;
-            flex:1 1 auto; }
-  .bp3-control-group.bp3-vertical{
-    -webkit-box-orient:vertical;
-    -webkit-box-direction:normal;
-        -ms-flex-direction:column;
-            flex-direction:column; }
-    .bp3-control-group.bp3-vertical > *{
-      margin-top:-1px; }
-    .bp3-control-group.bp3-vertical > :first-child{
-      border-radius:3px 3px 0 0;
-      margin-top:0; }
-    .bp3-control-group.bp3-vertical > :last-child{
-      border-radius:0 0 3px 3px; }
-.bp3-control{
-  cursor:pointer;
-  display:block;
-  margin-bottom:10px;
-  position:relative;
-  text-transform:none; }
-  .bp3-control input:checked ~ .bp3-control-indicator{
-    background-color:#137cbd;
-    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));
-    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-    color:#ffffff; }
-  .bp3-control:hover input:checked ~ .bp3-control-indicator{
-    background-color:#106ba3;
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2); }
-  .bp3-control input:not(:disabled):active:checked ~ .bp3-control-indicator{
-    background:#0e5a8a;
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
-  .bp3-control input:disabled:checked ~ .bp3-control-indicator{
-    background:rgba(19, 124, 189, 0.5);
-    -webkit-box-shadow:none;
-            box-shadow:none; }
-  .bp3-dark .bp3-control input:checked ~ .bp3-control-indicator{
-    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
-  .bp3-dark .bp3-control:hover input:checked ~ .bp3-control-indicator{
-    background-color:#106ba3;
-    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
-  .bp3-dark .bp3-control input:not(:disabled):active:checked ~ .bp3-control-indicator{
-    background-color:#0e5a8a;
-    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
-  .bp3-dark .bp3-control input:disabled:checked ~ .bp3-control-indicator{
-    background:rgba(14, 90, 138, 0.5);
-    -webkit-box-shadow:none;
-            box-shadow:none; }
-  .bp3-control:not(.bp3-align-right){
-    padding-left:26px; }
-    .bp3-control:not(.bp3-align-right) .bp3-control-indicator{
-      margin-left:-26px; }
-  .bp3-control.bp3-align-right{
-    padding-right:26px; }
-    .bp3-control.bp3-align-right .bp3-control-indicator{
-      margin-right:-26px; }
-  .bp3-control.bp3-disabled{
-    color:rgba(92, 112, 128, 0.6);
-    cursor:not-allowed; }
-  .bp3-control.bp3-inline{
-    display:inline-block;
-    margin-right:20px; }
-  .bp3-control input{
-    left:0;
-    opacity:0;
-    position:absolute;
-    top:0;
-    z-index:-1; }
-  .bp3-control .bp3-control-indicator{
-    background-clip:padding-box;
-    background-color:#f5f8fa;
-    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.8)), to(rgba(255, 255, 255, 0)));
-    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.8), rgba(255, 255, 255, 0));
-    border:none;
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-    cursor:pointer;
-    display:inline-block;
-    font-size:16px;
-    height:1em;
-    margin-right:10px;
-    margin-top:-3px;
-    position:relative;
-    -webkit-user-select:none;
-       -moz-user-select:none;
-        -ms-user-select:none;
-            user-select:none;
-    vertical-align:middle;
-    width:1em; }
-    .bp3-control .bp3-control-indicator::before{
-      content:"";
-      display:block;
-      height:1em;
-      width:1em; }
-  .bp3-control:hover .bp3-control-indicator{
-    background-color:#ebf1f5; }
-  .bp3-control input:not(:disabled):active ~ .bp3-control-indicator{
-    background:#d8e1e8;
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
-  .bp3-control input:disabled ~ .bp3-control-indicator{
-    background:rgba(206, 217, 224, 0.5);
-    -webkit-box-shadow:none;
-            box-shadow:none;
-    cursor:not-allowed; }
-  .bp3-control input:focus ~ .bp3-control-indicator{
-    outline:rgba(19, 124, 189, 0.6) auto 2px;
-    outline-offset:2px;
-    -moz-outline-radius:6px; }
-  .bp3-control.bp3-align-right .bp3-control-indicator{
-    float:right;
-    margin-left:10px;
-    margin-top:1px; }
-  .bp3-control.bp3-large{
-    font-size:16px; }
-    .bp3-control.bp3-large:not(.bp3-align-right){
-      padding-left:30px; }
-      .bp3-control.bp3-large:not(.bp3-align-right) .bp3-control-indicator{
-        margin-left:-30px; }
-    .bp3-control.bp3-large.bp3-align-right{
-      padding-right:30px; }
-      .bp3-control.bp3-large.bp3-align-right .bp3-control-indicator{
-        margin-right:-30px; }
-    .bp3-control.bp3-large .bp3-control-indicator{
-      font-size:20px; }
-    .bp3-control.bp3-large.bp3-align-right .bp3-control-indicator{
-      margin-top:0; }
-  .bp3-control.bp3-checkbox input:indeterminate ~ .bp3-control-indicator{
-    background-color:#137cbd;
-    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));
-    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-    color:#ffffff; }
-  .bp3-control.bp3-checkbox:hover input:indeterminate ~ .bp3-control-indicator{
-    background-color:#106ba3;
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2); }
-  .bp3-control.bp3-checkbox input:not(:disabled):active:indeterminate ~ .bp3-control-indicator{
-    background:#0e5a8a;
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
-  .bp3-control.bp3-checkbox input:disabled:indeterminate ~ .bp3-control-indicator{
-    background:rgba(19, 124, 189, 0.5);
-    -webkit-box-shadow:none;
-            box-shadow:none; }
-  .bp3-dark .bp3-control.bp3-checkbox input:indeterminate ~ .bp3-control-indicator{
-    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
-  .bp3-dark .bp3-control.bp3-checkbox:hover input:indeterminate ~ .bp3-control-indicator{
-    background-color:#106ba3;
-    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
-  .bp3-dark .bp3-control.bp3-checkbox input:not(:disabled):active:indeterminate ~ .bp3-control-indicator{
-    background-color:#0e5a8a;
-    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
-  .bp3-dark .bp3-control.bp3-checkbox input:disabled:indeterminate ~ .bp3-control-indicator{
-    background:rgba(14, 90, 138, 0.5);
-    -webkit-box-shadow:none;
-            box-shadow:none; }
-  .bp3-control.bp3-checkbox .bp3-control-indicator{
-    border-radius:3px; }
-  .bp3-control.bp3-checkbox input:checked ~ .bp3-control-indicator::before{
-    background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill-rule='evenodd' clip-rule='evenodd' d='M12 5c-.28 0-.53.11-.71.29L7 9.59l-2.29-2.3a1.003 1.003 0 00-1.42 1.42l3 3c.18.18.43.29.71.29s.53-.11.71-.29l5-5A1.003 1.003 0 0012 5z' fill='white'/%3e%3c/svg%3e"); }
-  .bp3-control.bp3-checkbox input:indeterminate ~ .bp3-control-indicator::before{
-    background-image:url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 7H5c-.55 0-1 .45-1 1s.45 1 1 1h6c.55 0 1-.45 1-1s-.45-1-1-1z' fill='white'/%3e%3c/svg%3e"); }
-  .bp3-control.bp3-radio .bp3-control-indicator{
-    border-radius:50%; }
-  .bp3-control.bp3-radio input:checked ~ .bp3-control-indicator::before{
-    background-image:radial-gradient(#ffffff, #ffffff 28%, transparent 32%); }
-  .bp3-control.bp3-radio input:checked:disabled ~ .bp3-control-indicator::before{
-    opacity:0.5; }
-  .bp3-control.bp3-radio input:focus ~ .bp3-control-indicator{
-    -moz-outline-radius:16px; }
-  .bp3-control.bp3-switch input ~ .bp3-control-indicator{
-    background:rgba(167, 182, 194, 0.5); }
-  .bp3-control.bp3-switch:hover input ~ .bp3-control-indicator{
-    background:rgba(115, 134, 148, 0.5); }
-  .bp3-control.bp3-switch input:not(:disabled):active ~ .bp3-control-indicator{
-    background:rgba(92, 112, 128, 0.5); }
-  .bp3-control.bp3-switch input:disabled ~ .bp3-control-indicator{
-    background:rgba(206, 217, 224, 0.5); }
-    .bp3-control.bp3-switch input:disabled ~ .bp3-control-indicator::before{
-      background:rgba(255, 255, 255, 0.8); }
-  .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator{
-    background:#137cbd; }
-  .bp3-control.bp3-switch:hover input:checked ~ .bp3-control-indicator{
-    background:#106ba3; }
-  .bp3-control.bp3-switch input:checked:not(:disabled):active ~ .bp3-control-indicator{
-    background:#0e5a8a; }
-  .bp3-control.bp3-switch input:checked:disabled ~ .bp3-control-indicator{
-    background:rgba(19, 124, 189, 0.5); }
-    .bp3-control.bp3-switch input:checked:disabled ~ .bp3-control-indicator::before{
-      background:rgba(255, 255, 255, 0.8); }
-  .bp3-control.bp3-switch:not(.bp3-align-right){
-    padding-left:38px; }
-    .bp3-control.bp3-switch:not(.bp3-align-right) .bp3-control-indicator{
-      margin-left:-38px; }
-  .bp3-control.bp3-switch.bp3-align-right{
-    padding-right:38px; }
-    .bp3-control.bp3-switch.bp3-align-right .bp3-control-indicator{
-      margin-right:-38px; }
-  .bp3-control.bp3-switch .bp3-control-indicator{
-    border:none;
-    border-radius:1.75em;
-    -webkit-box-shadow:none !important;
-            box-shadow:none !important;
-    min-width:1.75em;
-    -webkit-transition:background-color 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
-    transition:background-color 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
-    width:auto; }
-    .bp3-control.bp3-switch .bp3-control-indicator::before{
-      background:#ffffff;
-      border-radius:50%;
-      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);
-      height:calc(1em - 4px);
-      left:0;
-      margin:2px;
-      position:absolute;
-      -webkit-transition:left 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
-      transition:left 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
-      width:calc(1em - 4px); }
-  .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator::before{
-    left:calc(100% - 1em); }
-  .bp3-control.bp3-switch.bp3-large:not(.bp3-align-right){
-    padding-left:45px; }
-    .bp3-control.bp3-switch.bp3-large:not(.bp3-align-right) .bp3-control-indicator{
-      margin-left:-45px; }
-  .bp3-control.bp3-switch.bp3-large.bp3-align-right{
-    padding-right:45px; }
-    .bp3-control.bp3-switch.bp3-large.bp3-align-right .bp3-control-indicator{
-      margin-right:-45px; }
-  .bp3-dark .bp3-control.bp3-switch input ~ .bp3-control-indicator{
-    background:rgba(16, 22, 26, 0.5); }
-  .bp3-dark .bp3-control.bp3-switch:hover input ~ .bp3-control-indicator{
-    background:rgba(16, 22, 26, 0.7); }
-  .bp3-dark .bp3-control.bp3-switch input:not(:disabled):active ~ .bp3-control-indicator{
-    background:rgba(16, 22, 26, 0.9); }
-  .bp3-dark .bp3-control.bp3-switch input:disabled ~ .bp3-control-indicator{
-    background:rgba(57, 75, 89, 0.5); }
-    .bp3-dark .bp3-control.bp3-switch input:disabled ~ .bp3-control-indicator::before{
-      background:rgba(16, 22, 26, 0.4); }
-  .bp3-dark .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator{
-    background:#137cbd; }
-  .bp3-dark .bp3-control.bp3-switch:hover input:checked ~ .bp3-control-indicator{
-    background:#106ba3; }
-  .bp3-dark .bp3-control.bp3-switch input:checked:not(:disabled):active ~ .bp3-control-indicator{
-    background:#0e5a8a; }
-  .bp3-dark .bp3-control.bp3-switch input:checked:disabled ~ .bp3-control-indicator{
-    background:rgba(14, 90, 138, 0.5); }
-    .bp3-dark .bp3-control.bp3-switch input:checked:disabled ~ .bp3-control-indicator::before{
-      background:rgba(16, 22, 26, 0.4); }
-  .bp3-dark .bp3-control.bp3-switch .bp3-control-indicator::before{
-    background:#394b59;
-    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
-  .bp3-dark .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator::before{
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4); }
-  .bp3-control.bp3-switch .bp3-switch-inner-text{
-    font-size:0.7em;
-    text-align:center; }
-  .bp3-control.bp3-switch .bp3-control-indicator-child:first-child{
-    line-height:0;
-    margin-left:0.5em;
-    margin-right:1.2em;
-    visibility:hidden; }
-  .bp3-control.bp3-switch .bp3-control-indicator-child:last-child{
-    line-height:1em;
-    margin-left:1.2em;
-    margin-right:0.5em;
-    visibility:visible; }
-  .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator .bp3-control-indicator-child:first-child{
-    line-height:1em;
-    visibility:visible; }
-  .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator .bp3-control-indicator-child:last-child{
-    line-height:0;
-    visibility:hidden; }
-  .bp3-dark .bp3-control{
-    color:#f5f8fa; }
-    .bp3-dark .bp3-control.bp3-disabled{
-      color:rgba(167, 182, 194, 0.6); }
-    .bp3-dark .bp3-control .bp3-control-indicator{
-      background-color:#394b59;
-      background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.05)), to(rgba(255, 255, 255, 0)));
-      background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0));
-      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
-    .bp3-dark .bp3-control:hover .bp3-control-indicator{
-      background-color:#30404d; }
-    .bp3-dark .bp3-control input:not(:disabled):active ~ .bp3-control-indicator{
-      background:#202b33;
-      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
-    .bp3-dark .bp3-control input:disabled ~ .bp3-control-indicator{
-      background:rgba(57, 75, 89, 0.5);
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      cursor:not-allowed; }
-    .bp3-dark .bp3-control.bp3-checkbox input:disabled:checked ~ .bp3-control-indicator, .bp3-dark .bp3-control.bp3-checkbox input:disabled:indeterminate ~ .bp3-control-indicator{
-      color:rgba(167, 182, 194, 0.6); }
-.bp3-file-input{
-  cursor:pointer;
-  display:inline-block;
-  height:30px;
-  position:relative; }
-  .bp3-file-input input{
-    margin:0;
-    min-width:200px;
-    opacity:0; }
-    .bp3-file-input input:disabled + .bp3-file-upload-input,
-    .bp3-file-input input.bp3-disabled + .bp3-file-upload-input{
-      background:rgba(206, 217, 224, 0.5);
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:rgba(92, 112, 128, 0.6);
-      cursor:not-allowed;
-      resize:none; }
-      .bp3-file-input input:disabled + .bp3-file-upload-input::after,
-      .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after{
-        background-color:rgba(206, 217, 224, 0.5);
-        background-image:none;
-        -webkit-box-shadow:none;
-                box-shadow:none;
-        color:rgba(92, 112, 128, 0.6);
-        cursor:not-allowed;
-        outline:none; }
-        .bp3-file-input input:disabled + .bp3-file-upload-input::after.bp3-active, .bp3-file-input input:disabled + .bp3-file-upload-input::after.bp3-active:hover,
-        .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after.bp3-active,
-        .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after.bp3-active:hover{
-          background:rgba(206, 217, 224, 0.7); }
-      .bp3-dark .bp3-file-input input:disabled + .bp3-file-upload-input, .bp3-dark
-      .bp3-file-input input.bp3-disabled + .bp3-file-upload-input{
-        background:rgba(57, 75, 89, 0.5);
-        -webkit-box-shadow:none;
-                box-shadow:none;
-        color:rgba(167, 182, 194, 0.6); }
-        .bp3-dark .bp3-file-input input:disabled + .bp3-file-upload-input::after, .bp3-dark
-        .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after{
-          background-color:rgba(57, 75, 89, 0.5);
-          background-image:none;
-          -webkit-box-shadow:none;
-                  box-shadow:none;
-          color:rgba(167, 182, 194, 0.6); }
-          .bp3-dark .bp3-file-input input:disabled + .bp3-file-upload-input::after.bp3-active, .bp3-dark
-          .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after.bp3-active{
-            background:rgba(57, 75, 89, 0.7); }
-  .bp3-file-input.bp3-file-input-has-selection .bp3-file-upload-input{
-    color:#182026; }
-  .bp3-dark .bp3-file-input.bp3-file-input-has-selection .bp3-file-upload-input{
-    color:#f5f8fa; }
-  .bp3-file-input.bp3-fill{
-    width:100%; }
-  .bp3-file-input.bp3-large,
-  .bp3-large .bp3-file-input{
-    height:40px; }
-  .bp3-file-input .bp3-file-upload-input-custom-text::after{
-    content:attr(bp3-button-text); }
-
-.bp3-file-upload-input{
-  -webkit-appearance:none;
-     -moz-appearance:none;
-          appearance:none;
-  background:#ffffff;
-  border:none;
-  border-radius:3px;
-  -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-          box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-  color:#182026;
-  font-size:14px;
-  font-weight:400;
-  height:30px;
-  line-height:30px;
-  outline:none;
-  padding:0 10px;
-  -webkit-transition:-webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
-  transition:-webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
-  transition:box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
-  transition:box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
-  vertical-align:middle;
-  overflow:hidden;
-  text-overflow:ellipsis;
-  white-space:nowrap;
-  word-wrap:normal;
-  color:rgba(92, 112, 128, 0.6);
-  left:0;
-  padding-right:80px;
-  position:absolute;
-  right:0;
-  top:0;
-  -webkit-user-select:none;
-     -moz-user-select:none;
-      -ms-user-select:none;
-          user-select:none; }
-  .bp3-file-upload-input::-webkit-input-placeholder{
-    color:rgba(92, 112, 128, 0.6);
-    opacity:1; }
-  .bp3-file-upload-input::-moz-placeholder{
-    color:rgba(92, 112, 128, 0.6);
-    opacity:1; }
-  .bp3-file-upload-input:-ms-input-placeholder{
-    color:rgba(92, 112, 128, 0.6);
-    opacity:1; }
-  .bp3-file-upload-input::-ms-input-placeholder{
-    color:rgba(92, 112, 128, 0.6);
-    opacity:1; }
-  .bp3-file-upload-input::placeholder{
-    color:rgba(92, 112, 128, 0.6);
-    opacity:1; }
-  .bp3-file-upload-input:focus, .bp3-file-upload-input.bp3-active{
-    -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
-  .bp3-file-upload-input[type="search"], .bp3-file-upload-input.bp3-round{
-    border-radius:30px;
-    -webkit-box-sizing:border-box;
-            box-sizing:border-box;
-    padding-left:10px; }
-  .bp3-file-upload-input[readonly]{
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15); }
-  .bp3-file-upload-input:disabled, .bp3-file-upload-input.bp3-disabled{
-    background:rgba(206, 217, 224, 0.5);
-    -webkit-box-shadow:none;
-            box-shadow:none;
-    color:rgba(92, 112, 128, 0.6);
-    cursor:not-allowed;
-    resize:none; }
-  .bp3-file-upload-input::after{
-    background-color:#f5f8fa;
-    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.8)), to(rgba(255, 255, 255, 0)));
-    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.8), rgba(255, 255, 255, 0));
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-    color:#182026;
-    min-height:24px;
-    min-width:24px;
-    overflow:hidden;
-    text-overflow:ellipsis;
-    white-space:nowrap;
-    word-wrap:normal;
-    border-radius:3px;
-    content:"Browse";
-    line-height:24px;
-    margin:3px;
-    position:absolute;
-    right:0;
-    text-align:center;
-    top:0;
-    width:70px; }
-    .bp3-file-upload-input::after:hover{
-      background-clip:padding-box;
-      background-color:#ebf1f5;
-      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1); }
-    .bp3-file-upload-input::after:active, .bp3-file-upload-input::after.bp3-active{
-      background-color:#d8e1e8;
-      background-image:none;
-      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
-    .bp3-file-upload-input::after:disabled, .bp3-file-upload-input::after.bp3-disabled{
-      background-color:rgba(206, 217, 224, 0.5);
-      background-image:none;
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:rgba(92, 112, 128, 0.6);
-      cursor:not-allowed;
-      outline:none; }
-      .bp3-file-upload-input::after:disabled.bp3-active, .bp3-file-upload-input::after:disabled.bp3-active:hover, .bp3-file-upload-input::after.bp3-disabled.bp3-active, .bp3-file-upload-input::after.bp3-disabled.bp3-active:hover{
-        background:rgba(206, 217, 224, 0.7); }
-  .bp3-file-upload-input:hover::after{
-    background-clip:padding-box;
-    background-color:#ebf1f5;
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1); }
-  .bp3-file-upload-input:active::after{
-    background-color:#d8e1e8;
-    background-image:none;
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
-  .bp3-large .bp3-file-upload-input{
-    font-size:16px;
-    height:40px;
-    line-height:40px;
-    padding-right:95px; }
-    .bp3-large .bp3-file-upload-input[type="search"], .bp3-large .bp3-file-upload-input.bp3-round{
-      padding:0 15px; }
-    .bp3-large .bp3-file-upload-input::after{
-      min-height:30px;
-      min-width:30px;
-      line-height:30px;
-      margin:5px;
-      width:85px; }
-  .bp3-dark .bp3-file-upload-input{
-    background:rgba(16, 22, 26, 0.3);
-    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-    color:#f5f8fa;
-    color:rgba(167, 182, 194, 0.6); }
-    .bp3-dark .bp3-file-upload-input::-webkit-input-placeholder{
-      color:rgba(167, 182, 194, 0.6); }
-    .bp3-dark .bp3-file-upload-input::-moz-placeholder{
-      color:rgba(167, 182, 194, 0.6); }
-    .bp3-dark .bp3-file-upload-input:-ms-input-placeholder{
-      color:rgba(167, 182, 194, 0.6); }
-    .bp3-dark .bp3-file-upload-input::-ms-input-placeholder{
-      color:rgba(167, 182, 194, 0.6); }
-    .bp3-dark .bp3-file-upload-input::placeholder{
-      color:rgba(167, 182, 194, 0.6); }
-    .bp3-dark .bp3-file-upload-input:focus{
-      -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-              box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
-    .bp3-dark .bp3-file-upload-input[readonly]{
-      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4); }
-    .bp3-dark .bp3-file-upload-input:disabled, .bp3-dark .bp3-file-upload-input.bp3-disabled{
-      background:rgba(57, 75, 89, 0.5);
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:rgba(167, 182, 194, 0.6); }
-    .bp3-dark .bp3-file-upload-input::after{
-      background-color:#394b59;
-      background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.05)), to(rgba(255, 255, 255, 0)));
-      background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0));
-      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-      color:#f5f8fa; }
-      .bp3-dark .bp3-file-upload-input::after:hover, .bp3-dark .bp3-file-upload-input::after:active, .bp3-dark .bp3-file-upload-input::after.bp3-active{
-        color:#f5f8fa; }
-      .bp3-dark .bp3-file-upload-input::after:hover{
-        background-color:#30404d;
-        -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-                box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
-      .bp3-dark .bp3-file-upload-input::after:active, .bp3-dark .bp3-file-upload-input::after.bp3-active{
-        background-color:#202b33;
-        background-image:none;
-        -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-                box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
-      .bp3-dark .bp3-file-upload-input::after:disabled, .bp3-dark .bp3-file-upload-input::after.bp3-disabled{
-        background-color:rgba(57, 75, 89, 0.5);
-        background-image:none;
-        -webkit-box-shadow:none;
-                box-shadow:none;
-        color:rgba(167, 182, 194, 0.6); }
-        .bp3-dark .bp3-file-upload-input::after:disabled.bp3-active, .bp3-dark .bp3-file-upload-input::after.bp3-disabled.bp3-active{
-          background:rgba(57, 75, 89, 0.7); }
-      .bp3-dark .bp3-file-upload-input::after .bp3-button-spinner .bp3-spinner-head{
-        background:rgba(16, 22, 26, 0.5);
-        stroke:#8a9ba8; }
-    .bp3-dark .bp3-file-upload-input:hover::after{
-      background-color:#30404d;
-      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
-    .bp3-dark .bp3-file-upload-input:active::after{
-      background-color:#202b33;
-      background-image:none;
-      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
-.bp3-file-upload-input::after{
-  -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-          box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1); }
-.bp3-form-group{
-  display:-webkit-box;
-  display:-ms-flexbox;
-  display:flex;
-  -webkit-box-orient:vertical;
-  -webkit-box-direction:normal;
-      -ms-flex-direction:column;
-          flex-direction:column;
-  margin:0 0 15px; }
-  .bp3-form-group label.bp3-label{
-    margin-bottom:5px; }
-  .bp3-form-group .bp3-control{
-    margin-top:7px; }
-  .bp3-form-group .bp3-form-helper-text{
-    color:#5c7080;
-    font-size:12px;
-    margin-top:5px; }
-  .bp3-form-group.bp3-intent-primary .bp3-form-helper-text{
-    color:#106ba3; }
-  .bp3-form-group.bp3-intent-success .bp3-form-helper-text{
-    color:#0d8050; }
-  .bp3-form-group.bp3-intent-warning .bp3-form-helper-text{
-    color:#bf7326; }
-  .bp3-form-group.bp3-intent-danger .bp3-form-helper-text{
-    color:#c23030; }
-  .bp3-form-group.bp3-inline{
-    -webkit-box-align:start;
-        -ms-flex-align:start;
-            align-items:flex-start;
-    -webkit-box-orient:horizontal;
-    -webkit-box-direction:normal;
-        -ms-flex-direction:row;
-            flex-direction:row; }
-    .bp3-form-group.bp3-inline.bp3-large label.bp3-label{
-      line-height:40px;
-      margin:0 10px 0 0; }
-    .bp3-form-group.bp3-inline label.bp3-label{
-      line-height:30px;
-      margin:0 10px 0 0; }
-  .bp3-form-group.bp3-disabled .bp3-label,
-  .bp3-form-group.bp3-disabled .bp3-text-muted,
-  .bp3-form-group.bp3-disabled .bp3-form-helper-text{
-    color:rgba(92, 112, 128, 0.6) !important; }
-  .bp3-dark .bp3-form-group.bp3-intent-primary .bp3-form-helper-text{
-    color:#48aff0; }
-  .bp3-dark .bp3-form-group.bp3-intent-success .bp3-form-helper-text{
-    color:#3dcc91; }
-  .bp3-dark .bp3-form-group.bp3-intent-warning .bp3-form-helper-text{
-    color:#ffb366; }
-  .bp3-dark .bp3-form-group.bp3-intent-danger .bp3-form-helper-text{
-    color:#ff7373; }
-  .bp3-dark .bp3-form-group .bp3-form-helper-text{
-    color:#a7b6c2; }
-  .bp3-dark .bp3-form-group.bp3-disabled .bp3-label,
-  .bp3-dark .bp3-form-group.bp3-disabled .bp3-text-muted,
-  .bp3-dark .bp3-form-group.bp3-disabled .bp3-form-helper-text{
-    color:rgba(167, 182, 194, 0.6) !important; }
-.bp3-input-group{
-  display:block;
-  position:relative; }
-  .bp3-input-group .bp3-input{
-    position:relative;
-    width:100%; }
-    .bp3-input-group .bp3-input:not(:first-child){
-      padding-left:30px; }
-    .bp3-input-group .bp3-input:not(:last-child){
-      padding-right:30px; }
-  .bp3-input-group .bp3-input-action,
-  .bp3-input-group > .bp3-input-left-container,
-  .bp3-input-group > .bp3-button,
-  .bp3-input-group > .bp3-icon{
-    position:absolute;
-    top:0; }
-    .bp3-input-group .bp3-input-action:first-child,
-    .bp3-input-group > .bp3-input-left-container:first-child,
-    .bp3-input-group > .bp3-button:first-child,
-    .bp3-input-group > .bp3-icon:first-child{
-      left:0; }
-    .bp3-input-group .bp3-input-action:last-child,
-    .bp3-input-group > .bp3-input-left-container:last-child,
-    .bp3-input-group > .bp3-button:last-child,
-    .bp3-input-group > .bp3-icon:last-child{
-      right:0; }
-  .bp3-input-group .bp3-button{
-    min-height:24px;
-    min-width:24px;
-    margin:3px;
-    padding:0 7px; }
-    .bp3-input-group .bp3-button:empty{
-      padding:0; }
-  .bp3-input-group > .bp3-input-left-container,
-  .bp3-input-group > .bp3-icon{
-    z-index:1; }
-  .bp3-input-group > .bp3-input-left-container > .bp3-icon,
-  .bp3-input-group > .bp3-icon{
-    color:#5c7080; }
-    .bp3-input-group > .bp3-input-left-container > .bp3-icon:empty,
-    .bp3-input-group > .bp3-icon:empty{
-      font-family:"Icons16", sans-serif;
-      font-size:16px;
-      font-style:normal;
-      font-weight:400;
-      line-height:1;
-      -moz-osx-font-smoothing:grayscale;
-      -webkit-font-smoothing:antialiased; }
-  .bp3-input-group > .bp3-input-left-container > .bp3-icon,
-  .bp3-input-group > .bp3-icon,
-  .bp3-input-group .bp3-input-action > .bp3-spinner{
-    margin:7px; }
-  .bp3-input-group .bp3-tag{
-    margin:5px; }
-  .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:not(:hover):not(:focus),
-  .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:not(:hover):not(:focus){
-    color:#5c7080; }
-    .bp3-dark .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:not(:hover):not(:focus), .bp3-dark
-    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:not(:hover):not(:focus){
-      color:#a7b6c2; }
-    .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:not(:hover):not(:focus) .bp3-icon, .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:not(:hover):not(:focus) .bp3-icon-standard, .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:not(:hover):not(:focus) .bp3-icon-large,
-    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:not(:hover):not(:focus) .bp3-icon,
-    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:not(:hover):not(:focus) .bp3-icon-standard,
-    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:not(:hover):not(:focus) .bp3-icon-large{
-      color:#5c7080; }
-  .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:disabled,
-  .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:disabled{
-    color:rgba(92, 112, 128, 0.6) !important; }
-    .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:disabled .bp3-icon, .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:disabled .bp3-icon-standard, .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:disabled .bp3-icon-large,
-    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:disabled .bp3-icon,
-    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:disabled .bp3-icon-standard,
-    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:disabled .bp3-icon-large{
-      color:rgba(92, 112, 128, 0.6) !important; }
-  .bp3-input-group.bp3-disabled{
-    cursor:not-allowed; }
-    .bp3-input-group.bp3-disabled .bp3-icon{
-      color:rgba(92, 112, 128, 0.6); }
-  .bp3-input-group.bp3-large .bp3-button{
-    min-height:30px;
-    min-width:30px;
-    margin:5px; }
-  .bp3-input-group.bp3-large > .bp3-input-left-container > .bp3-icon,
-  .bp3-input-group.bp3-large > .bp3-icon,
-  .bp3-input-group.bp3-large .bp3-input-action > .bp3-spinner{
-    margin:12px; }
-  .bp3-input-group.bp3-large .bp3-input{
-    font-size:16px;
-    height:40px;
-    line-height:40px; }
-    .bp3-input-group.bp3-large .bp3-input[type="search"], .bp3-input-group.bp3-large .bp3-input.bp3-round{
-      padding:0 15px; }
-    .bp3-input-group.bp3-large .bp3-input:not(:first-child){
-      padding-left:40px; }
-    .bp3-input-group.bp3-large .bp3-input:not(:last-child){
-      padding-right:40px; }
-  .bp3-input-group.bp3-small .bp3-button{
-    min-height:20px;
-    min-width:20px;
-    margin:2px; }
-  .bp3-input-group.bp3-small .bp3-tag{
-    min-height:20px;
-    min-width:20px;
-    margin:2px; }
-  .bp3-input-group.bp3-small > .bp3-input-left-container > .bp3-icon,
-  .bp3-input-group.bp3-small > .bp3-icon,
-  .bp3-input-group.bp3-small .bp3-input-action > .bp3-spinner{
-    margin:4px; }
-  .bp3-input-group.bp3-small .bp3-input{
-    font-size:12px;
-    height:24px;
-    line-height:24px;
-    padding-left:8px;
-    padding-right:8px; }
-    .bp3-input-group.bp3-small .bp3-input[type="search"], .bp3-input-group.bp3-small .bp3-input.bp3-round{
-      padding:0 12px; }
-    .bp3-input-group.bp3-small .bp3-input:not(:first-child){
-      padding-left:24px; }
-    .bp3-input-group.bp3-small .bp3-input:not(:last-child){
-      padding-right:24px; }
-  .bp3-input-group.bp3-fill{
-    -webkit-box-flex:1;
-        -ms-flex:1 1 auto;
-            flex:1 1 auto;
-    width:100%; }
-  .bp3-input-group.bp3-round .bp3-button,
-  .bp3-input-group.bp3-round .bp3-input,
-  .bp3-input-group.bp3-round .bp3-tag{
-    border-radius:30px; }
-  .bp3-dark .bp3-input-group .bp3-icon{
-    color:#a7b6c2; }
-  .bp3-dark .bp3-input-group.bp3-disabled .bp3-icon{
-    color:rgba(167, 182, 194, 0.6); }
-  .bp3-input-group.bp3-intent-primary .bp3-input{
-    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px #137cbd, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px #137cbd, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
-    .bp3-input-group.bp3-intent-primary .bp3-input:focus{
-      -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-              box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
-    .bp3-input-group.bp3-intent-primary .bp3-input[readonly]{
-      -webkit-box-shadow:inset 0 0 0 1px #137cbd;
-              box-shadow:inset 0 0 0 1px #137cbd; }
-    .bp3-input-group.bp3-intent-primary .bp3-input:disabled, .bp3-input-group.bp3-intent-primary .bp3-input.bp3-disabled{
-      -webkit-box-shadow:none;
-              box-shadow:none; }
-  .bp3-input-group.bp3-intent-primary > .bp3-icon{
-    color:#106ba3; }
-    .bp3-dark .bp3-input-group.bp3-intent-primary > .bp3-icon{
-      color:#48aff0; }
-  .bp3-input-group.bp3-intent-success .bp3-input{
-    -webkit-box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px #0f9960, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-            box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px #0f9960, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
-    .bp3-input-group.bp3-intent-success .bp3-input:focus{
-      -webkit-box-shadow:0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-              box-shadow:0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
-    .bp3-input-group.bp3-intent-success .bp3-input[readonly]{
-      -webkit-box-shadow:inset 0 0 0 1px #0f9960;
-              box-shadow:inset 0 0 0 1px #0f9960; }
-    .bp3-input-group.bp3-intent-success .bp3-input:disabled, .bp3-input-group.bp3-intent-success .bp3-input.bp3-disabled{
-      -webkit-box-shadow:none;
-              box-shadow:none; }
-  .bp3-input-group.bp3-intent-success > .bp3-icon{
-    color:#0d8050; }
-    .bp3-dark .bp3-input-group.bp3-intent-success > .bp3-icon{
-      color:#3dcc91; }
-  .bp3-input-group.bp3-intent-warning .bp3-input{
-    -webkit-box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px #d9822b, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-            box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px #d9822b, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
-    .bp3-input-group.bp3-intent-warning .bp3-input:focus{
-      -webkit-box-shadow:0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-              box-shadow:0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
-    .bp3-input-group.bp3-intent-warning .bp3-input[readonly]{
-      -webkit-box-shadow:inset 0 0 0 1px #d9822b;
-              box-shadow:inset 0 0 0 1px #d9822b; }
-    .bp3-input-group.bp3-intent-warning .bp3-input:disabled, .bp3-input-group.bp3-intent-warning .bp3-input.bp3-disabled{
-      -webkit-box-shadow:none;
-              box-shadow:none; }
-  .bp3-input-group.bp3-intent-warning > .bp3-icon{
-    color:#bf7326; }
-    .bp3-dark .bp3-input-group.bp3-intent-warning > .bp3-icon{
-      color:#ffb366; }
-  .bp3-input-group.bp3-intent-danger .bp3-input{
-    -webkit-box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px #db3737, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-            box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px #db3737, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
-    .bp3-input-group.bp3-intent-danger .bp3-input:focus{
-      -webkit-box-shadow:0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-              box-shadow:0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
-    .bp3-input-group.bp3-intent-danger .bp3-input[readonly]{
-      -webkit-box-shadow:inset 0 0 0 1px #db3737;
-              box-shadow:inset 0 0 0 1px #db3737; }
-    .bp3-input-group.bp3-intent-danger .bp3-input:disabled, .bp3-input-group.bp3-intent-danger .bp3-input.bp3-disabled{
-      -webkit-box-shadow:none;
-              box-shadow:none; }
-  .bp3-input-group.bp3-intent-danger > .bp3-icon{
-    color:#c23030; }
-    .bp3-dark .bp3-input-group.bp3-intent-danger > .bp3-icon{
-      color:#ff7373; }
-.bp3-input{
-  -webkit-appearance:none;
-     -moz-appearance:none;
-          appearance:none;
-  background:#ffffff;
-  border:none;
-  border-radius:3px;
-  -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-          box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-  color:#182026;
-  font-size:14px;
-  font-weight:400;
-  height:30px;
-  line-height:30px;
-  outline:none;
-  padding:0 10px;
-  -webkit-transition:-webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
-  transition:-webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
-  transition:box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
-  transition:box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);
-  vertical-align:middle; }
-  .bp3-input::-webkit-input-placeholder{
-    color:rgba(92, 112, 128, 0.6);
-    opacity:1; }
-  .bp3-input::-moz-placeholder{
-    color:rgba(92, 112, 128, 0.6);
-    opacity:1; }
-  .bp3-input:-ms-input-placeholder{
-    color:rgba(92, 112, 128, 0.6);
-    opacity:1; }
-  .bp3-input::-ms-input-placeholder{
-    color:rgba(92, 112, 128, 0.6);
-    opacity:1; }
-  .bp3-input::placeholder{
-    color:rgba(92, 112, 128, 0.6);
-    opacity:1; }
-  .bp3-input:focus, .bp3-input.bp3-active{
-    -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
-  .bp3-input[type="search"], .bp3-input.bp3-round{
-    border-radius:30px;
-    -webkit-box-sizing:border-box;
-            box-sizing:border-box;
-    padding-left:10px; }
-  .bp3-input[readonly]{
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15); }
-  .bp3-input:disabled, .bp3-input.bp3-disabled{
-    background:rgba(206, 217, 224, 0.5);
-    -webkit-box-shadow:none;
-            box-shadow:none;
-    color:rgba(92, 112, 128, 0.6);
-    cursor:not-allowed;
-    resize:none; }
-  .bp3-input.bp3-large{
-    font-size:16px;
-    height:40px;
-    line-height:40px; }
-    .bp3-input.bp3-large[type="search"], .bp3-input.bp3-large.bp3-round{
-      padding:0 15px; }
-  .bp3-input.bp3-small{
-    font-size:12px;
-    height:24px;
-    line-height:24px;
-    padding-left:8px;
-    padding-right:8px; }
-    .bp3-input.bp3-small[type="search"], .bp3-input.bp3-small.bp3-round{
-      padding:0 12px; }
-  .bp3-input.bp3-fill{
-    -webkit-box-flex:1;
-        -ms-flex:1 1 auto;
-            flex:1 1 auto;
-    width:100%; }
-  .bp3-dark .bp3-input{
-    background:rgba(16, 22, 26, 0.3);
-    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-    color:#f5f8fa; }
-    .bp3-dark .bp3-input::-webkit-input-placeholder{
-      color:rgba(167, 182, 194, 0.6); }
-    .bp3-dark .bp3-input::-moz-placeholder{
-      color:rgba(167, 182, 194, 0.6); }
-    .bp3-dark .bp3-input:-ms-input-placeholder{
-      color:rgba(167, 182, 194, 0.6); }
-    .bp3-dark .bp3-input::-ms-input-placeholder{
-      color:rgba(167, 182, 194, 0.6); }
-    .bp3-dark .bp3-input::placeholder{
-      color:rgba(167, 182, 194, 0.6); }
-    .bp3-dark .bp3-input:focus{
-      -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-              box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
-    .bp3-dark .bp3-input[readonly]{
-      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4); }
-    .bp3-dark .bp3-input:disabled, .bp3-dark .bp3-input.bp3-disabled{
-      background:rgba(57, 75, 89, 0.5);
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:rgba(167, 182, 194, 0.6); }
-  .bp3-input.bp3-intent-primary{
-    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px #137cbd, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px #137cbd, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
-    .bp3-input.bp3-intent-primary:focus{
-      -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-              box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
-    .bp3-input.bp3-intent-primary[readonly]{
-      -webkit-box-shadow:inset 0 0 0 1px #137cbd;
-              box-shadow:inset 0 0 0 1px #137cbd; }
-    .bp3-input.bp3-intent-primary:disabled, .bp3-input.bp3-intent-primary.bp3-disabled{
-      -webkit-box-shadow:none;
-              box-shadow:none; }
-    .bp3-dark .bp3-input.bp3-intent-primary{
-      -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px #137cbd, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-              box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px #137cbd, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
-      .bp3-dark .bp3-input.bp3-intent-primary:focus{
-        -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-                box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
-      .bp3-dark .bp3-input.bp3-intent-primary[readonly]{
-        -webkit-box-shadow:inset 0 0 0 1px #137cbd;
-                box-shadow:inset 0 0 0 1px #137cbd; }
-      .bp3-dark .bp3-input.bp3-intent-primary:disabled, .bp3-dark .bp3-input.bp3-intent-primary.bp3-disabled{
-        -webkit-box-shadow:none;
-                box-shadow:none; }
-  .bp3-input.bp3-intent-success{
-    -webkit-box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px #0f9960, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-            box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px #0f9960, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
-    .bp3-input.bp3-intent-success:focus{
-      -webkit-box-shadow:0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-              box-shadow:0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
-    .bp3-input.bp3-intent-success[readonly]{
-      -webkit-box-shadow:inset 0 0 0 1px #0f9960;
-              box-shadow:inset 0 0 0 1px #0f9960; }
-    .bp3-input.bp3-intent-success:disabled, .bp3-input.bp3-intent-success.bp3-disabled{
-      -webkit-box-shadow:none;
-              box-shadow:none; }
-    .bp3-dark .bp3-input.bp3-intent-success{
-      -webkit-box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px #0f9960, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-              box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px #0f9960, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
-      .bp3-dark .bp3-input.bp3-intent-success:focus{
-        -webkit-box-shadow:0 0 0 1px #0f9960, 0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-                box-shadow:0 0 0 1px #0f9960, 0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
-      .bp3-dark .bp3-input.bp3-intent-success[readonly]{
-        -webkit-box-shadow:inset 0 0 0 1px #0f9960;
-                box-shadow:inset 0 0 0 1px #0f9960; }
-      .bp3-dark .bp3-input.bp3-intent-success:disabled, .bp3-dark .bp3-input.bp3-intent-success.bp3-disabled{
-        -webkit-box-shadow:none;
-                box-shadow:none; }
-  .bp3-input.bp3-intent-warning{
-    -webkit-box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px #d9822b, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-            box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px #d9822b, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
-    .bp3-input.bp3-intent-warning:focus{
-      -webkit-box-shadow:0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-              box-shadow:0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
-    .bp3-input.bp3-intent-warning[readonly]{
-      -webkit-box-shadow:inset 0 0 0 1px #d9822b;
-              box-shadow:inset 0 0 0 1px #d9822b; }
-    .bp3-input.bp3-intent-warning:disabled, .bp3-input.bp3-intent-warning.bp3-disabled{
-      -webkit-box-shadow:none;
-              box-shadow:none; }
-    .bp3-dark .bp3-input.bp3-intent-warning{
-      -webkit-box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px #d9822b, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-              box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px #d9822b, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
-      .bp3-dark .bp3-input.bp3-intent-warning:focus{
-        -webkit-box-shadow:0 0 0 1px #d9822b, 0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-                box-shadow:0 0 0 1px #d9822b, 0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
-      .bp3-dark .bp3-input.bp3-intent-warning[readonly]{
-        -webkit-box-shadow:inset 0 0 0 1px #d9822b;
-                box-shadow:inset 0 0 0 1px #d9822b; }
-      .bp3-dark .bp3-input.bp3-intent-warning:disabled, .bp3-dark .bp3-input.bp3-intent-warning.bp3-disabled{
-        -webkit-box-shadow:none;
-                box-shadow:none; }
-  .bp3-input.bp3-intent-danger{
-    -webkit-box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px #db3737, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-            box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px #db3737, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
-    .bp3-input.bp3-intent-danger:focus{
-      -webkit-box-shadow:0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);
-              box-shadow:0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }
-    .bp3-input.bp3-intent-danger[readonly]{
-      -webkit-box-shadow:inset 0 0 0 1px #db3737;
-              box-shadow:inset 0 0 0 1px #db3737; }
-    .bp3-input.bp3-intent-danger:disabled, .bp3-input.bp3-intent-danger.bp3-disabled{
-      -webkit-box-shadow:none;
-              box-shadow:none; }
-    .bp3-dark .bp3-input.bp3-intent-danger{
-      -webkit-box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px #db3737, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-              box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px #db3737, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
-      .bp3-dark .bp3-input.bp3-intent-danger:focus{
-        -webkit-box-shadow:0 0 0 1px #db3737, 0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-                box-shadow:0 0 0 1px #db3737, 0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
-      .bp3-dark .bp3-input.bp3-intent-danger[readonly]{
-        -webkit-box-shadow:inset 0 0 0 1px #db3737;
-                box-shadow:inset 0 0 0 1px #db3737; }
-      .bp3-dark .bp3-input.bp3-intent-danger:disabled, .bp3-dark .bp3-input.bp3-intent-danger.bp3-disabled{
-        -webkit-box-shadow:none;
-                box-shadow:none; }
-  .bp3-input::-ms-clear{
-    display:none; }
-textarea.bp3-input{
-  max-width:100%;
-  padding:10px; }
-  textarea.bp3-input, textarea.bp3-input.bp3-large, textarea.bp3-input.bp3-small{
-    height:auto;
-    line-height:inherit; }
-  textarea.bp3-input.bp3-small{
-    padding:8px; }
-  .bp3-dark textarea.bp3-input{
-    background:rgba(16, 22, 26, 0.3);
-    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-    color:#f5f8fa; }
-    .bp3-dark textarea.bp3-input::-webkit-input-placeholder{
-      color:rgba(167, 182, 194, 0.6); }
-    .bp3-dark textarea.bp3-input::-moz-placeholder{
-      color:rgba(167, 182, 194, 0.6); }
-    .bp3-dark textarea.bp3-input:-ms-input-placeholder{
-      color:rgba(167, 182, 194, 0.6); }
-    .bp3-dark textarea.bp3-input::-ms-input-placeholder{
-      color:rgba(167, 182, 194, 0.6); }
-    .bp3-dark textarea.bp3-input::placeholder{
-      color:rgba(167, 182, 194, 0.6); }
-    .bp3-dark textarea.bp3-input:focus{
-      -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);
-              box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }
-    .bp3-dark textarea.bp3-input[readonly]{
-      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);
-              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4); }
-    .bp3-dark textarea.bp3-input:disabled, .bp3-dark textarea.bp3-input.bp3-disabled{
-      background:rgba(57, 75, 89, 0.5);
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:rgba(167, 182, 194, 0.6); }
-label.bp3-label{
-  display:block;
-  margin-bottom:15px;
-  margin-top:0; }
-  label.bp3-label .bp3-html-select,
-  label.bp3-label .bp3-input,
-  label.bp3-label .bp3-select,
-  label.bp3-label .bp3-slider,
-  label.bp3-label .bp3-popover-wrapper{
-    display:block;
-    margin-top:5px;
-    text-transform:none; }
-  label.bp3-label .bp3-button-group{
-    margin-top:5px; }
-  label.bp3-label .bp3-select select,
-  label.bp3-label .bp3-html-select select{
-    font-weight:400;
-    vertical-align:top;
-    width:100%; }
-  label.bp3-label.bp3-disabled,
-  label.bp3-label.bp3-disabled .bp3-text-muted{
-    color:rgba(92, 112, 128, 0.6); }
-  label.bp3-label.bp3-inline{
-    line-height:30px; }
-    label.bp3-label.bp3-inline .bp3-html-select,
-    label.bp3-label.bp3-inline .bp3-input,
-    label.bp3-label.bp3-inline .bp3-input-group,
-    label.bp3-label.bp3-inline .bp3-select,
-    label.bp3-label.bp3-inline .bp3-popover-wrapper{
-      display:inline-block;
-      margin:0 0 0 5px;
-      vertical-align:top; }
-    label.bp3-label.bp3-inline .bp3-button-group{
-      margin:0 0 0 5px; }
-    label.bp3-label.bp3-inline .bp3-input-group .bp3-input{
-      margin-left:0; }
-    label.bp3-label.bp3-inline.bp3-large{
-      line-height:40px; }
-  label.bp3-label:not(.bp3-inline) .bp3-popover-target{
-    display:block; }
-  .bp3-dark label.bp3-label{
-    color:#f5f8fa; }
-    .bp3-dark label.bp3-label.bp3-disabled,
-    .bp3-dark label.bp3-label.bp3-disabled .bp3-text-muted{
-      color:rgba(167, 182, 194, 0.6); }
-.bp3-numeric-input .bp3-button-group.bp3-vertical > .bp3-button{
-  -webkit-box-flex:1;
-      -ms-flex:1 1 14px;
-          flex:1 1 14px;
-  min-height:0;
-  padding:0;
-  width:30px; }
-  .bp3-numeric-input .bp3-button-group.bp3-vertical > .bp3-button:first-child{
-    border-radius:0 3px 0 0; }
-  .bp3-numeric-input .bp3-button-group.bp3-vertical > .bp3-button:last-child{
-    border-radius:0 0 3px 0; }
-
-.bp3-numeric-input .bp3-button-group.bp3-vertical:first-child > .bp3-button:first-child{
-  border-radius:3px 0 0 0; }
-
-.bp3-numeric-input .bp3-button-group.bp3-vertical:first-child > .bp3-button:last-child{
-  border-radius:0 0 0 3px; }
-
-.bp3-numeric-input.bp3-large .bp3-button-group.bp3-vertical > .bp3-button{
-  width:40px; }
-
-form{
-  display:block; }
-.bp3-html-select select,
-.bp3-select select{
-  display:-webkit-inline-box;
-  display:-ms-inline-flexbox;
-  display:inline-flex;
-  -webkit-box-orient:horizontal;
-  -webkit-box-direction:normal;
-      -ms-flex-direction:row;
-          flex-direction:row;
-  -webkit-box-align:center;
-      -ms-flex-align:center;
-          align-items:center;
-  border:none;
-  border-radius:3px;
-  cursor:pointer;
-  font-size:14px;
-  -webkit-box-pack:center;
-      -ms-flex-pack:center;
-          justify-content:center;
-  padding:5px 10px;
-  text-align:left;
-  vertical-align:middle;
-  background-color:#f5f8fa;
-  background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.8)), to(rgba(255, 255, 255, 0)));
-  background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.8), rgba(255, 255, 255, 0));
-  -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-          box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-  color:#182026;
-  -moz-appearance:none;
-  -webkit-appearance:none;
-  border-radius:3px;
-  height:30px;
-  padding:0 25px 0 10px;
-  width:100%; }
-  .bp3-html-select select > *, .bp3-select select > *{
-    -webkit-box-flex:0;
-        -ms-flex-positive:0;
-            flex-grow:0;
-    -ms-flex-negative:0;
-        flex-shrink:0; }
-  .bp3-html-select select > .bp3-fill, .bp3-select select > .bp3-fill{
-    -webkit-box-flex:1;
-        -ms-flex-positive:1;
-            flex-grow:1;
-    -ms-flex-negative:1;
-        flex-shrink:1; }
-  .bp3-html-select select::before,
-  .bp3-select select::before, .bp3-html-select select > *, .bp3-select select > *{
-    margin-right:7px; }
-  .bp3-html-select select:empty::before,
-  .bp3-select select:empty::before,
-  .bp3-html-select select > :last-child,
-  .bp3-select select > :last-child{
-    margin-right:0; }
-  .bp3-html-select select:hover,
-  .bp3-select select:hover{
-    background-clip:padding-box;
-    background-color:#ebf1f5;
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1); }
-  .bp3-html-select select:active,
-  .bp3-select select:active, .bp3-html-select select.bp3-active,
-  .bp3-select select.bp3-active{
-    background-color:#d8e1e8;
-    background-image:none;
-    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
-  .bp3-html-select select:disabled,
-  .bp3-select select:disabled, .bp3-html-select select.bp3-disabled,
-  .bp3-select select.bp3-disabled{
-    background-color:rgba(206, 217, 224, 0.5);
-    background-image:none;
-    -webkit-box-shadow:none;
-            box-shadow:none;
-    color:rgba(92, 112, 128, 0.6);
-    cursor:not-allowed;
-    outline:none; }
-    .bp3-html-select select:disabled.bp3-active,
-    .bp3-select select:disabled.bp3-active, .bp3-html-select select:disabled.bp3-active:hover,
-    .bp3-select select:disabled.bp3-active:hover, .bp3-html-select select.bp3-disabled.bp3-active,
-    .bp3-select select.bp3-disabled.bp3-active, .bp3-html-select select.bp3-disabled.bp3-active:hover,
-    .bp3-select select.bp3-disabled.bp3-active:hover{
-      background:rgba(206, 217, 224, 0.7); }
-
-.bp3-html-select.bp3-minimal select,
-.bp3-select.bp3-minimal select{
-  background:none;
-  -webkit-box-shadow:none;
-          box-shadow:none; }
-  .bp3-html-select.bp3-minimal select:hover,
-  .bp3-select.bp3-minimal select:hover{
-    background:rgba(167, 182, 194, 0.3);
-    -webkit-box-shadow:none;
-            box-shadow:none;
-    color:#182026;
-    text-decoration:none; }
-  .bp3-html-select.bp3-minimal select:active,
-  .bp3-select.bp3-minimal select:active, .bp3-html-select.bp3-minimal select.bp3-active,
-  .bp3-select.bp3-minimal select.bp3-active{
-    background:rgba(115, 134, 148, 0.3);
-    -webkit-box-shadow:none;
-            box-shadow:none;
-    color:#182026; }
-  .bp3-html-select.bp3-minimal select:disabled,
-  .bp3-select.bp3-minimal select:disabled, .bp3-html-select.bp3-minimal select:disabled:hover,
-  .bp3-select.bp3-minimal select:disabled:hover, .bp3-html-select.bp3-minimal select.bp3-disabled,
-  .bp3-select.bp3-minimal select.bp3-disabled, .bp3-html-select.bp3-minimal select.bp3-disabled:hover,
-  .bp3-select.bp3-minimal select.bp3-disabled:hover{
-    background:none;
-    color:rgba(92, 112, 128, 0.6);
-    cursor:not-allowed; }
-    .bp3-html-select.bp3-minimal select:disabled.bp3-active,
-    .bp3-select.bp3-minimal select:disabled.bp3-active, .bp3-html-select.bp3-minimal select:disabled:hover.bp3-active,
-    .bp3-select.bp3-minimal select:disabled:hover.bp3-active, .bp3-html-select.bp3-minimal select.bp3-disabled.bp3-active,
-    .bp3-select.bp3-minimal select.bp3-disabled.bp3-active, .bp3-html-select.bp3-minimal select.bp3-disabled:hover.bp3-active,
-    .bp3-select.bp3-minimal select.bp3-disabled:hover.bp3-active{
-      background:rgba(115, 134, 148, 0.3); }
-  .bp3-dark .bp3-html-select.bp3-minimal select, .bp3-html-select.bp3-minimal .bp3-dark select,
-  .bp3-dark .bp3-select.bp3-minimal select, .bp3-select.bp3-minimal .bp3-dark select{
-    background:none;
-    -webkit-box-shadow:none;
-            box-shadow:none;
-    color:inherit; }
-    .bp3-dark .bp3-html-select.bp3-minimal select:hover, .bp3-html-select.bp3-minimal .bp3-dark select:hover,
-    .bp3-dark .bp3-select.bp3-minimal select:hover, .bp3-select.bp3-minimal .bp3-dark select:hover, .bp3-dark .bp3-html-select.bp3-minimal select:active, .bp3-html-select.bp3-minimal .bp3-dark select:active,
-    .bp3-dark .bp3-select.bp3-minimal select:active, .bp3-select.bp3-minimal .bp3-dark select:active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-active,
-    .bp3-dark .bp3-select.bp3-minimal select.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-active{
-      background:none;
-      -webkit-box-shadow:none;
-              box-shadow:none; }
-    .bp3-dark .bp3-html-select.bp3-minimal select:hover, .bp3-html-select.bp3-minimal .bp3-dark select:hover,
-    .bp3-dark .bp3-select.bp3-minimal select:hover, .bp3-select.bp3-minimal .bp3-dark select:hover{
-      background:rgba(138, 155, 168, 0.15); }
-    .bp3-dark .bp3-html-select.bp3-minimal select:active, .bp3-html-select.bp3-minimal .bp3-dark select:active,
-    .bp3-dark .bp3-select.bp3-minimal select:active, .bp3-select.bp3-minimal .bp3-dark select:active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-active,
-    .bp3-dark .bp3-select.bp3-minimal select.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-active{
-      background:rgba(138, 155, 168, 0.3);
-      color:#f5f8fa; }
-    .bp3-dark .bp3-html-select.bp3-minimal select:disabled, .bp3-html-select.bp3-minimal .bp3-dark select:disabled,
-    .bp3-dark .bp3-select.bp3-minimal select:disabled, .bp3-select.bp3-minimal .bp3-dark select:disabled, .bp3-dark .bp3-html-select.bp3-minimal select:disabled:hover, .bp3-html-select.bp3-minimal .bp3-dark select:disabled:hover,
-    .bp3-dark .bp3-select.bp3-minimal select:disabled:hover, .bp3-select.bp3-minimal .bp3-dark select:disabled:hover, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-disabled,
-    .bp3-dark .bp3-select.bp3-minimal select.bp3-disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-disabled, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-disabled:hover, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-disabled:hover,
-    .bp3-dark .bp3-select.bp3-minimal select.bp3-disabled:hover, .bp3-select.bp3-minimal .bp3-dark select.bp3-disabled:hover{
-      background:none;
-      color:rgba(167, 182, 194, 0.6);
-      cursor:not-allowed; }
-      .bp3-dark .bp3-html-select.bp3-minimal select:disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select:disabled.bp3-active,
-      .bp3-dark .bp3-select.bp3-minimal select:disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select:disabled.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select:disabled:hover.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select:disabled:hover.bp3-active,
-      .bp3-dark .bp3-select.bp3-minimal select:disabled:hover.bp3-active, .bp3-select.bp3-minimal .bp3-dark select:disabled:hover.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-disabled.bp3-active,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-disabled.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-disabled:hover.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-disabled:hover.bp3-active,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-disabled:hover.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-disabled:hover.bp3-active{
-        background:rgba(138, 155, 168, 0.3); }
-  .bp3-html-select.bp3-minimal select.bp3-intent-primary,
-  .bp3-select.bp3-minimal select.bp3-intent-primary{
-    color:#106ba3; }
-    .bp3-html-select.bp3-minimal select.bp3-intent-primary:hover,
-    .bp3-select.bp3-minimal select.bp3-intent-primary:hover, .bp3-html-select.bp3-minimal select.bp3-intent-primary:active,
-    .bp3-select.bp3-minimal select.bp3-intent-primary:active, .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-active,
-    .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-active{
-      background:none;
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:#106ba3; }
-    .bp3-html-select.bp3-minimal select.bp3-intent-primary:hover,
-    .bp3-select.bp3-minimal select.bp3-intent-primary:hover{
-      background:rgba(19, 124, 189, 0.15);
-      color:#106ba3; }
-    .bp3-html-select.bp3-minimal select.bp3-intent-primary:active,
-    .bp3-select.bp3-minimal select.bp3-intent-primary:active, .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-active,
-    .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-active{
-      background:rgba(19, 124, 189, 0.3);
-      color:#106ba3; }
-    .bp3-html-select.bp3-minimal select.bp3-intent-primary:disabled,
-    .bp3-select.bp3-minimal select.bp3-intent-primary:disabled, .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-disabled,
-    .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-disabled{
-      background:none;
-      color:rgba(16, 107, 163, 0.5); }
-      .bp3-html-select.bp3-minimal select.bp3-intent-primary:disabled.bp3-active,
-      .bp3-select.bp3-minimal select.bp3-intent-primary:disabled.bp3-active, .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-disabled.bp3-active,
-      .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-disabled.bp3-active{
-        background:rgba(19, 124, 189, 0.3); }
-    .bp3-html-select.bp3-minimal select.bp3-intent-primary .bp3-button-spinner .bp3-spinner-head, .bp3-select.bp3-minimal select.bp3-intent-primary .bp3-button-spinner .bp3-spinner-head{
-      stroke:#106ba3; }
-    .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary,
-    .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary{
-      color:#48aff0; }
-      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary:hover, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary:hover,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary:hover, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary:hover{
-        background:rgba(19, 124, 189, 0.2);
-        color:#48aff0; }
-      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary:active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary:active,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary:active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary:active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary.bp3-active,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary.bp3-active{
-        background:rgba(19, 124, 189, 0.3);
-        color:#48aff0; }
-      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary:disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary:disabled,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary:disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary:disabled, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary.bp3-disabled,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary.bp3-disabled{
-        background:none;
-        color:rgba(72, 175, 240, 0.5); }
-        .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary:disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary:disabled.bp3-active,
-        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary:disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary:disabled.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary.bp3-disabled.bp3-active,
-        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary.bp3-disabled.bp3-active{
-          background:rgba(19, 124, 189, 0.3); }
-  .bp3-html-select.bp3-minimal select.bp3-intent-success,
-  .bp3-select.bp3-minimal select.bp3-intent-success{
-    color:#0d8050; }
-    .bp3-html-select.bp3-minimal select.bp3-intent-success:hover,
-    .bp3-select.bp3-minimal select.bp3-intent-success:hover, .bp3-html-select.bp3-minimal select.bp3-intent-success:active,
-    .bp3-select.bp3-minimal select.bp3-intent-success:active, .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-active,
-    .bp3-select.bp3-minimal select.bp3-intent-success.bp3-active{
-      background:none;
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:#0d8050; }
-    .bp3-html-select.bp3-minimal select.bp3-intent-success:hover,
-    .bp3-select.bp3-minimal select.bp3-intent-success:hover{
-      background:rgba(15, 153, 96, 0.15);
-      color:#0d8050; }
-    .bp3-html-select.bp3-minimal select.bp3-intent-success:active,
-    .bp3-select.bp3-minimal select.bp3-intent-success:active, .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-active,
-    .bp3-select.bp3-minimal select.bp3-intent-success.bp3-active{
-      background:rgba(15, 153, 96, 0.3);
-      color:#0d8050; }
-    .bp3-html-select.bp3-minimal select.bp3-intent-success:disabled,
-    .bp3-select.bp3-minimal select.bp3-intent-success:disabled, .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-disabled,
-    .bp3-select.bp3-minimal select.bp3-intent-success.bp3-disabled{
-      background:none;
-      color:rgba(13, 128, 80, 0.5); }
-      .bp3-html-select.bp3-minimal select.bp3-intent-success:disabled.bp3-active,
-      .bp3-select.bp3-minimal select.bp3-intent-success:disabled.bp3-active, .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-disabled.bp3-active,
-      .bp3-select.bp3-minimal select.bp3-intent-success.bp3-disabled.bp3-active{
-        background:rgba(15, 153, 96, 0.3); }
-    .bp3-html-select.bp3-minimal select.bp3-intent-success .bp3-button-spinner .bp3-spinner-head, .bp3-select.bp3-minimal select.bp3-intent-success .bp3-button-spinner .bp3-spinner-head{
-      stroke:#0d8050; }
-    .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success,
-    .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success{
-      color:#3dcc91; }
-      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success:hover, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success:hover,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success:hover, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success:hover{
-        background:rgba(15, 153, 96, 0.2);
-        color:#3dcc91; }
-      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success:active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success:active,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success:active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success:active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success.bp3-active,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success.bp3-active{
-        background:rgba(15, 153, 96, 0.3);
-        color:#3dcc91; }
-      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success:disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success:disabled,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success:disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success:disabled, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success.bp3-disabled,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success.bp3-disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success.bp3-disabled{
-        background:none;
-        color:rgba(61, 204, 145, 0.5); }
-        .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success:disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success:disabled.bp3-active,
-        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success:disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success:disabled.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success.bp3-disabled.bp3-active,
-        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success.bp3-disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success.bp3-disabled.bp3-active{
-          background:rgba(15, 153, 96, 0.3); }
-  .bp3-html-select.bp3-minimal select.bp3-intent-warning,
-  .bp3-select.bp3-minimal select.bp3-intent-warning{
-    color:#bf7326; }
-    .bp3-html-select.bp3-minimal select.bp3-intent-warning:hover,
-    .bp3-select.bp3-minimal select.bp3-intent-warning:hover, .bp3-html-select.bp3-minimal select.bp3-intent-warning:active,
-    .bp3-select.bp3-minimal select.bp3-intent-warning:active, .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-active,
-    .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-active{
-      background:none;
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:#bf7326; }
-    .bp3-html-select.bp3-minimal select.bp3-intent-warning:hover,
-    .bp3-select.bp3-minimal select.bp3-intent-warning:hover{
-      background:rgba(217, 130, 43, 0.15);
-      color:#bf7326; }
-    .bp3-html-select.bp3-minimal select.bp3-intent-warning:active,
-    .bp3-select.bp3-minimal select.bp3-intent-warning:active, .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-active,
-    .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-active{
-      background:rgba(217, 130, 43, 0.3);
-      color:#bf7326; }
-    .bp3-html-select.bp3-minimal select.bp3-intent-warning:disabled,
-    .bp3-select.bp3-minimal select.bp3-intent-warning:disabled, .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-disabled,
-    .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-disabled{
-      background:none;
-      color:rgba(191, 115, 38, 0.5); }
-      .bp3-html-select.bp3-minimal select.bp3-intent-warning:disabled.bp3-active,
-      .bp3-select.bp3-minimal select.bp3-intent-warning:disabled.bp3-active, .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-disabled.bp3-active,
-      .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-disabled.bp3-active{
-        background:rgba(217, 130, 43, 0.3); }
-    .bp3-html-select.bp3-minimal select.bp3-intent-warning .bp3-button-spinner .bp3-spinner-head, .bp3-select.bp3-minimal select.bp3-intent-warning .bp3-button-spinner .bp3-spinner-head{
-      stroke:#bf7326; }
-    .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning,
-    .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning{
-      color:#ffb366; }
-      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning:hover, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning:hover,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning:hover, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning:hover{
-        background:rgba(217, 130, 43, 0.2);
-        color:#ffb366; }
-      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning:active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning:active,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning:active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning:active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning.bp3-active,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning.bp3-active{
-        background:rgba(217, 130, 43, 0.3);
-        color:#ffb366; }
-      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning:disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning:disabled,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning:disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning:disabled, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning.bp3-disabled,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning.bp3-disabled{
-        background:none;
-        color:rgba(255, 179, 102, 0.5); }
-        .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning:disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning:disabled.bp3-active,
-        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning:disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning:disabled.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning.bp3-disabled.bp3-active,
-        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning.bp3-disabled.bp3-active{
-          background:rgba(217, 130, 43, 0.3); }
-  .bp3-html-select.bp3-minimal select.bp3-intent-danger,
-  .bp3-select.bp3-minimal select.bp3-intent-danger{
-    color:#c23030; }
-    .bp3-html-select.bp3-minimal select.bp3-intent-danger:hover,
-    .bp3-select.bp3-minimal select.bp3-intent-danger:hover, .bp3-html-select.bp3-minimal select.bp3-intent-danger:active,
-    .bp3-select.bp3-minimal select.bp3-intent-danger:active, .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-active,
-    .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-active{
-      background:none;
-      -webkit-box-shadow:none;
-              box-shadow:none;
-      color:#c23030; }
-    .bp3-html-select.bp3-minimal select.bp3-intent-danger:hover,
-    .bp3-select.bp3-minimal select.bp3-intent-danger:hover{
-      background:rgba(219, 55, 55, 0.15);
-      color:#c23030; }
-    .bp3-html-select.bp3-minimal select.bp3-intent-danger:active,
-    .bp3-select.bp3-minimal select.bp3-intent-danger:active, .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-active,
-    .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-active{
-      background:rgba(219, 55, 55, 0.3);
-      color:#c23030; }
-    .bp3-html-select.bp3-minimal select.bp3-intent-danger:disabled,
-    .bp3-select.bp3-minimal select.bp3-intent-danger:disabled, .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-disabled,
-    .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-disabled{
-      background:none;
-      color:rgba(194, 48, 48, 0.5); }
-      .bp3-html-select.bp3-minimal select.bp3-intent-danger:disabled.bp3-active,
-      .bp3-select.bp3-minimal select.bp3-intent-danger:disabled.bp3-active, .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-disabled.bp3-active,
-      .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-disabled.bp3-active{
-        background:rgba(219, 55, 55, 0.3); }
-    .bp3-html-select.bp3-minimal select.bp3-intent-danger .bp3-button-spinner .bp3-spinner-head, .bp3-select.bp3-minimal select.bp3-intent-danger .bp3-button-spinner .bp3-spinner-head{
-      stroke:#c23030; }
-    .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger,
-    .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger{
-      color:#ff7373; }
-      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger:hover, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger:hover,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger:hover, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger:hover{
-        background:rgba(219, 55, 55, 0.2);
-        color:#ff7373; }
-      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger:active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger:active,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger:active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger:active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger.bp3-active,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger.bp3-active{
-        background:rgba(219, 55, 55, 0.3);
-        color:#ff7373; }
-      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger:disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger:disabled,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger:disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger:disabled, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger.bp3-disabled,
-      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger.bp3-disabled{
-        background:none;
-        color:rgba(255, 115, 115, 0.5); }
-        .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger:disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger:disabled.bp3-active,
-        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger:disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger:disabled.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger.bp3-disabled.bp3-active,
-        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger.bp3-disabled.bp3-active{
-          background:rgba(219, 55, 55, 0.3); }
-
-.bp3-html-select.bp3-large select,
-.bp3-select.bp3-large select{
-  font-size:16px;
-  height:40px;
-  padding-right:35px; }
-
-.bp3-dark .bp3-html-select select, .bp3-dark .bp3-select select{
-  background-color:#394b59;
-  background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.05)), to(rgba(255, 255, 255, 0)));
-  background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0));
-  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-  color:#f5f8fa; }
-  .bp3-dark .bp3-html-select select:hover, .bp3-dark .bp3-select select:hover, .bp3-dark .bp3-html-select select:active, .bp3-dark .bp3-select select:active, .bp3-dark .bp3-html-select select.bp3-active, .bp3-dark .bp3-select select.bp3-active{
-    color:#f5f8fa; }
-  .bp3-dark .bp3-html-select select:hover, .bp3-dark .bp3-select select:hover{
-    background-color:#30404d;
-    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }
-  .bp3-dark .bp3-html-select select:active, .bp3-dark .bp3-select select:active, .bp3-dark .bp3-html-select select.bp3-active, .bp3-dark .bp3-select select.bp3-active{
-    background-color:#202b33;
-    background-image:none;
-    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2); }
-  .bp3-dark .bp3-html-select select:disabled, .bp3-dark .bp3-select select:disabled, .bp3-dark .bp3-html-select select.bp3-disabled, .bp3-dark .bp3-select select.bp3-disabled{
-    background-color:rgba(57, 75, 89, 0.5);
-    background-image:none;
-    -webkit-box-shadow:none;
-            box-shadow:none;
-    color:rgba(167, 182, 194, 0.6); }
-    .bp3-dark .bp3-html-select select:disabled.bp3-active, .bp3-dark .bp3-select select:disabled.bp3-active, .bp3-dark .bp3-html-select select.bp3-disabled.bp3-active, .bp3-dark .bp3-select select.bp3-disabled.bp3-active{
-      background:rgba(57, 75, 89, 0.7); }
-  .bp3-dark .bp3-html-select select .bp3-button-spinner .bp3-spinner-head, .bp3-dark .bp3-select select .bp3-button-spinner .bp3-spinner-head{
-    background:rgba(16, 22, 26, 0.5);
-    stroke:#8a9ba8; }
-
-.bp3-html-select select:disabled,
-.bp3-select select:disabled{
-  background-color:rgba(206, 217, 224, 0.5);
-  -webkit-box-shadow:none;
-          box-shadow:none;
-  color:rgba(92, 112, 128, 0.6);
-  cursor:not-allowed; }
-
-.bp3-html-select .bp3-icon,
-.bp3-select .bp3-icon, .bp3-select::after{
-  color:#5c7080;
-  pointer-events:none;
-  position:absolute;
-  right:7px;
-  top:7px; }
-  .bp3-html-select .bp3-disabled.bp3-icon,
-  .bp3-select .bp3-disabled.bp3-icon, .bp3-disabled.bp3-select::after{
-    color:rgba(92, 112, 128, 0.6); }
-.bp3-html-select,
-.bp3-select{
-  display:inline-block;
-  letter-spacing:normal;
-  position:relative;
-  vertical-align:middle; }
-  .bp3-html-select select::-ms-expand,
-  .bp3-select select::-ms-expand{
-    display:none; }
-  .bp3-html-select .bp3-icon,
-  .bp3-select .bp3-icon{
-    color:#5c7080; }
-    .bp3-html-select .bp3-icon:hover,
-    .bp3-select .bp3-icon:hover{
-      color:#182026; }
-    .bp3-dark .bp3-html-select .bp3-icon, .bp3-dark
-    .bp3-select .bp3-icon{
-      color:#a7b6c2; }
-      .bp3-dark .bp3-html-select .bp3-icon:hover, .bp3-dark
-      .bp3-select .bp3-icon:hover{
-        color:#f5f8fa; }
-  .bp3-html-select.bp3-large::after,
-  .bp3-html-select.bp3-large .bp3-icon,
-  .bp3-select.bp3-large::after,
-  .bp3-select.bp3-large .bp3-icon{
-    right:12px;
-    top:12px; }
-  .bp3-html-select.bp3-fill,
-  .bp3-html-select.bp3-fill select,
-  .bp3-select.bp3-fill,
-  .bp3-select.bp3-fill select{
-    width:100%; }
-  .bp3-dark .bp3-html-select option, .bp3-dark
-  .bp3-select option{
-    background-color:#30404d;
-    color:#f5f8fa; }
-  .bp3-dark .bp3-html-select option:disabled, .bp3-dark
-  .bp3-select option:disabled{
-    color:rgba(167, 182, 194, 0.6); }
-  .bp3-dark .bp3-html-select::after, .bp3-dark
-  .bp3-select::after{
-    color:#a7b6c2; }
-
-.bp3-select::after{
-  font-family:"Icons16", sans-serif;
-  font-size:16px;
-  font-style:normal;
-  font-weight:400;
-  line-height:1;
-  -moz-osx-font-smoothing:grayscale;
-  -webkit-font-smoothing:antialiased;
-  content:""; }
-.bp3-running-text table, table.bp3-html-table{
-  border-spacing:0;
-  font-size:14px; }
-  .bp3-running-text table th, table.bp3-html-table th,
-  .bp3-running-text table td,
-  table.bp3-html-table td{
-    padding:11px;
-    text-align:left;
-    vertical-align:top; }
-  .bp3-running-text table th, table.bp3-html-table th{
-    color:#182026;
-    font-weight:600; }
-
-  .bp3-running-text table td,
-  table.bp3-html-table td{
-    color:#182026; }
-  .bp3-running-text table tbody tr:first-child th, table.bp3-html-table tbody tr:first-child th,
-  .bp3-running-text table tbody tr:first-child td,
-  table.bp3-html-table tbody tr:first-child td,
-  .bp3-running-text table tfoot tr:first-child th,
-  table.bp3-html-table tfoot tr:first-child th,
-  .bp3-running-text table tfoot tr:first-child td,
-  table.bp3-html-table tfoot tr:first-child td{
-    -webkit-box-shadow:inset 0 1px 0 0 rgba(16, 22, 26, 0.15);
-            box-shadow:inset 0 1px 0 0 rgba(16, 22, 26, 0.15); }
-  .bp3-dark .bp3-running-text table th, .bp3-running-text .bp3-dark table th, .bp3-dark table.bp3-html-table th{
-    color:#f5f8fa; }
-  .bp3-dark .bp3-running-text table td, .bp3-running-text .bp3-dark table td, .bp3-dark table.bp3-html-table td{
-    color:#f5f8fa; }
-  .bp3-dark .bp3-running-text table tbody tr:first-child th, .bp3-running-text .bp3-dark table tbody tr:first-child th, .bp3-dark table.bp3-html-table tbody tr:first-child th,
-  .bp3-dark .bp3-running-text table tbody tr:first-child td,
-  .bp3-running-text .bp3-dark table tbody tr:first-child td,
-  .bp3-dark table.bp3-html-table tbody tr:first-child td,
-  .bp3-dark .bp3-running-text table tfoot tr:first-child th,
-  .bp3-running-text .bp3-dark table tfoot tr:first-child th,
-  .bp3-dark table.bp3-html-table tfoot tr:first-child th,
-  .bp3-dark .bp3-running-text table tfoot tr:first-child td,
-  .bp3-running-text .bp3-dark table tfoot tr:first-child td,
-  .bp3-dark table.bp3-html-table tfoot tr:first-child td{
-    -webkit-box-shadow:inset 0 1px 0 0 rgba(255, 255, 255, 0.15);
-            box-shadow:inset 0 1px 0 0 rgba(255, 255, 255, 0.15); }
-
-table.bp3-html-table.bp3-html-table-condensed th,
-table.bp3-html-table.bp3-html-table-condensed td, table.bp3-html-table.bp3-small th,
-table.bp3-html-table.bp3-small td{
-  padding-bottom:6px;
-  padding-top:6px; }
-
-table.bp3-html-table.bp3-html-table-striped tbody tr:nth-child(odd) td{
-  background:rgba(191, 204, 214, 0.15); }
-
-table.bp3-html-table.bp3-html-table-bordered th:not(:first-child){
-  -webkit-box-shadow:inset 1px 0 0 0 rgba(16, 22, 26, 0.15);
-          box-shadow:inset 1px 0 0 0 rgba(16, 22, 26, 0.15); }
-
-table.bp3-html-table.bp3-html-table-bordered tbody tr td,
-table.bp3-html-table.bp3-html-table-bordered tfoot tr td{
-  -webkit-box-shadow:inset 0 1px 0 0 rgba(16, 22, 26, 0.15);
-          box-shadow:inset 0 1px 0 0 rgba(16, 22, 26, 0.15); }
-  table.bp3-html-table.bp3-html-table-bordered tbody tr td:not(:first-child),
-  table.bp3-html-table.bp3-html-table-bordered tfoot tr td:not(:first-child){
-    -webkit-box-shadow:inset 1px 1px 0 0 rgba(16, 22, 26, 0.15);
-            box-shadow:inset 1px 1px 0 0 rgba(16, 22, 26, 0.15); }
-
-table.bp3-html-table.bp3-html-table-bordered.bp3-html-table-striped tbody tr:not(:first-child) td{
-  -webkit-box-shadow:none;
-          box-shadow:none; }
-  table.bp3-html-table.bp3-html-table-bordered.bp3-html-table-striped tbody tr:not(:first-child) td:not(:first-child){
-    -webkit-box-shadow:inset 1px 0 0 0 rgba(16, 22, 26, 0.15);
-            box-shadow:inset 1px 0 0 0 rgba(16, 22, 26, 0.15); }
-
-table.bp3-html-table.bp3-interactive tbody tr:hover td{
-  background-color:rgba(191, 204, 214, 0.3);
-  cursor:pointer; }
-
-table.bp3-html-table.bp3-interactive tbody tr:active td{
-  background-color:rgba(191, 204, 214, 0.4); }
-
-.bp3-dark table.bp3-html-table{ }
-  .bp3-dark table.bp3-html-table.bp3-html-table-striped tbody tr:nth-child(odd) td{
-    background:rgba(92, 112, 128, 0.15); }
-  .bp3-dark table.bp3-html-table.bp3-html-table-bordered th:not(:first-child){
-    -webkit-box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15);
-            box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15); }
-  .bp3-dark table.bp3-html-table.bp3-html-table-bordered tbody tr td,
-  .bp3-dark table.bp3-html-table.bp3-html-table-bordered tfoot tr td{
-    -webkit-box-shadow:inset 0 1px 0 0 rgba(255, 255, 255, 0.15);
-            box-shadow:inset 0 1px 0 0 rgba(255, 255, 255, 0.15); }
-    .bp3-dark table.bp3-html-table.bp3-html-table-bordered tbody tr td:not(:first-child),
-    .bp3-dark table.bp3-html-table.bp3-html-table-bordered tfoot tr td:not(:first-child){
-      -webkit-box-shadow:inset 1px 1px 0 0 rgba(255, 255, 255, 0.15);
-              box-shadow:inset 1px 1px 0 0 rgba(255, 255, 255, 0.15); }
-  .bp3-dark table.bp3-html-table.bp3-html-table-bordered.bp3-html-table-striped tbody tr:not(:first-child) td{
-    -webkit-box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15);
-            box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15); }
-    .bp3-dark table.bp3-html-table.bp3-html-table-bordered.bp3-html-table-striped tbody tr:not(:first-child) td:first-child{
-      -webkit-box-shadow:none;
-              box-shadow:none; }
-  .bp3-dark table.bp3-html-table.bp3-interactive tbody tr:hover td{
-    background-color:rgba(92, 112, 128, 0.3);
-    cursor:pointer; }
-  .bp3-dark table.bp3-html-table.bp3-interactive tbody tr:active td{
-    background-color:rgba(92, 112, 128, 0.4); }
-
-.bp3-key-combo{
-  display:-webkit-box;
-  display:-ms-flexbox;
-  display:flex;
-  -webkit-box-orient:horizontal;
-  -webkit-box-direction:normal;
-      -ms-flex-direction:row;
-          flex-direction:row;
-  -webkit-box-align:center;
-      -ms-flex-align:center;
-          align-items:center; }
-  .bp3-key-combo > *{
-    -webkit-box-flex:0;
-        -ms-flex-positive:0;
-            flex-grow:0;
-    -ms-flex-negative:0;
-        flex-shrink:0; }
-  .bp3-key-combo > .bp3-fill{
-    -webkit-box-flex:1;
-        -ms-flex-positive:1;
-            flex-grow:1;
-    -ms-flex-negative:1;
-        flex-shrink:1; }
-  .bp3-key-combo::before,
-  .bp3-key-combo > *{
-    margin-right:5px; }
-  .bp3-key-combo:empty::before,
-  .bp3-key-combo > :last-child{
-    margin-right:0; }
-
-.bp3-hotkey-dialog{
-  padding-bottom:0;
-  top:40px; }
-  .bp3-hotkey-dialog .bp3-dialog-body{
-    margin:0;
-    padding:0; }
-  .bp3-hotkey-dialog .bp3-hotkey-label{
-    -webkit-box-flex:1;
-        -ms-flex-positive:1;
-            flex-grow:1; }
-
-.bp3-hotkey-column{
-  margin:auto;
-  max-height:80vh;
-  overflow-y:auto;
-  padding:30px; }
-  .bp3-hotkey-column .bp3-heading{
-    margin-bottom:20px; }
-    .bp3-hotkey-column .bp3-heading:not(:first-child){
-      margin-top:40px; }
-
-.bp3-hotkey{
-  -webkit-box-align:center;
-      -ms-flex-align:center;
-          align-items:center;
-  display:-webkit-box;
-  display:-ms-flexbox;
-  display:flex;
-  -webkit-box-pack:justify;
-      -ms-flex-pack:justify;
-          justify-content:space-between;
-  margin-left:0;
-  margin-right:0; }
-  .bp3-hotkey:not(:last-child){
-    margin-bottom:10px; }
-.bp3-icon{
-  display:inline-block;
-  -webkit-box-flex:0;
-      -ms-flex:0 0 auto;
-          flex:0 0 auto;
-  vertical-align:text-bottom; }
-  .bp3-icon:not(:empty)::before{
-    content:"" !important;
-    content:unset !important; }
-  .bp3-icon > svg{
-    display:block; }
-    .bp3-icon > svg:not([fill]){
-      fill:currentColor; }
-
-.bp3-icon.bp3-intent-primary, .bp3-icon-standard.bp3-intent-primary, .bp3-icon-large.bp3-intent-primary{
-  color:#106ba3; }
-  .bp3-dark .bp3-icon.bp3-intent-primary, .bp3-dark .bp3-icon-standard.bp3-intent-primary, .bp3-dark .bp3-icon-large.bp3-intent-primary{
-    color:#48aff0; }
-
-.bp3-icon.bp3-intent-success, .bp3-icon-standard.bp3-intent-success, .bp3-icon-large.bp3-intent-success{
-  color:#0d8050; }
-  .bp3-dark .bp3-icon.bp3-intent-success, .bp3-dark .bp3-icon-standard.bp3-intent-success, .bp3-dark .bp3-icon-large.bp3-intent-success{
-    color:#3dcc91; }
-
-.bp3-icon.bp3-intent-warning, .bp3-icon-standard.bp3-intent-warning, .bp3-icon-large.bp3-intent-warning{
-  color:#bf7326; }
-  .bp3-dark .bp3-icon.bp3-intent-warning, .bp3-dark .bp3-icon-standard.bp3-intent-warning, .bp3-dark .bp3-icon-large.bp3-intent-warning{
-    color:#ffb366; }
-
-.bp3-icon.bp3-intent-danger, .bp3-icon-standard.bp3-intent-danger, .bp3-icon-large.bp3-intent-danger{
-  color:#c23030; }
-  .bp3-dark .bp3-icon.bp3-intent-danger, .bp3-dark .bp3-icon-standard.bp3-intent-danger, .bp3-dark .bp3-icon-large.bp3-intent-danger{
-    color:#ff7373; }
-
-span.bp3-icon-standard{
-  font-family:"Icons16", sans-serif;
-  font-size:16px;
-  font-style:normal;
-  font-weight:400;
-  line-height:1;
-  -moz-osx-font-smoothing:grayscale;
-  -webkit-font-smoothing:antialiased;
-  display:inline-block; }
-
-span.bp3-icon-large{
-  font-family:"Icons20", sans-serif;
-  font-size:20px;
-  font-style:normal;
-  font-weight:400;
-  line-height:1;
-  -moz-osx-font-smoothing:grayscale;
-  -webkit-font-smoothing:antialiased;
-  display:inline-block; }
-
-span.bp3-icon:empty{
-  font-family:"Icons20";
-  font-size:inherit;
-  font-style:normal;
-  font-weight:400;
-  line-height:1; }
-  span.bp3-icon:empty::before{
-    -moz-osx-font-smoothing:grayscale;
-    -webkit-font-smoothing:antialiased; }
-
-.bp3-icon-add::before{
-  content:""; }
-
-.bp3-icon-add-column-left::before{
-  content:""; }
-
-.bp3-icon-add-column-right::before{
-  content:""; }
-
-.bp3-icon-add-row-bottom::before{
-  content:""; }
-
-.bp3-icon-add-row-top::before{
-  content:""; }
-
-.bp3-icon-add-to-artifact::before{
-  content:""; }
-
-.bp3-icon-add-to-folder::before{
-  content:""; }
-
-.bp3-icon-airplane::before{
-  content:""; }
-
-.bp3-icon-align-center::before{
-  content:""; }
-
-.bp3-icon-align-justify::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-align-left::before{
-  content:""; }
+.jp-Collapse {
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+}
 
-.bp3-icon-align-right::before{
-  content:""; }
+.jp-Collapse-header {
+  padding: 1px 12px;
+  background-color: var(--jp-layout-color1);
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  align-items: center;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  text-transform: uppercase;
+  user-select: none;
+}
 
-.bp3-icon-alignment-bottom::before{
-  content:""; }
+.jp-Collapser-icon {
+  height: 16px;
+}
 
-.bp3-icon-alignment-horizontal-center::before{
-  content:""; }
+.jp-Collapse-header-collapsed .jp-Collapser-icon {
+  transform: rotate(-90deg);
+  margin: auto 0;
+}
 
-.bp3-icon-alignment-left::before{
-  content:""; }
+.jp-Collapser-title {
+  line-height: 25px;
+}
 
-.bp3-icon-alignment-right::before{
-  content:""; }
+.jp-Collapse-contents {
+  padding: 0 12px;
+  background-color: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
 
-.bp3-icon-alignment-top::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-alignment-vertical-center::before{
-  content:""; }
+/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
 
-.bp3-icon-annotation::before{
-  content:""; }
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
 
-.bp3-icon-application::before{
-  content:""; }
+/* Icons urls */
 
-.bp3-icon-applications::before{
-  content:""; }
+:root {
+  --jp-icon-add-above: url(data:image/svg+xml;base64,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);
+  --jp-icon-add-below: url(data:image/svg+xml;base64,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);
+  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-bell: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug: url(data:image/svg+xml;base64,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);
+  --jp-icon-build: url(data:image/svg+xml;base64,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);
+  --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-up: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik01LjIsMTAuNUw5LDYuOGwzLjgsMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-case-sensitive: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KICA8ZyBjbGFzcz0ianAtaWNvbjIiIGZpbGw9IiM0MTQxNDEiPgogICAgPHJlY3QgeD0iMiIgeT0iMiIgd2lkdGg9IjE2IiBoZWlnaHQ9IjE2Ii8+CiAgPC9nPgogIDxnIGNsYXNzPSJqcC1pY29uLWFjY2VudDIiIGZpbGw9IiNGRkYiPgogICAgPHBhdGggZD0iTTcuNiw4aDAuOWwzLjUsOGgtMS4xTDEwLDE0SDZsLTAuOSwySDRMNy42LDh6IE04LDkuMUw2LjQsMTNoMy4yTDgsOS4xeiIvPgogICAgPHBhdGggZD0iTTE2LjYsOS44Yy0wLjIsMC4xLTAuNCwwLjEtMC43LDAuMWMtMC4yLDAtMC40LTAuMS0wLjYtMC4yYy0wLjEtMC4xLTAuMi0wLjQtMC4yLTAuNyBjLTAuMywwLjMtMC42LDAuNS0wLjksMC43Yy0wLjMsMC4xLTAuNywwLjItMS4xLDAuMmMtMC4zLDAtMC41LDAtMC43LTAuMWMtMC4yLTAuMS0wLjQtMC4yLTAuNi0wLjNjLTAuMi0wLjEtMC4zLTAuMy0wLjQtMC41IGMtMC4xLTAuMi0wLjEtMC40LTAuMS0wLjdjMC0wLjMsMC4xLTAuNiwwLjItMC44YzAuMS0wLjIsMC4zLTAuNCwwLjQtMC41QzEyLDcsMTIuMiw2LjksMTIuNSw2LjhjMC4yLTAuMSwwLjUtMC4xLDAuNy0wLjIgYzAuMy0wLjEsMC41LTAuMSwwLjctMC4xYzAuMiwwLDAuNC0wLjEsMC42LTAuMWMwLjIsMCwwLjMtMC4xLDAuNC0wLjJjMC4xLTAuMSwwLjItMC4yLDAuMi0wLjRjMC0xLTEuMS0xLTEuMy0xIGMtMC40LDAtMS40LDAtMS40LDEuMmgtMC45YzAtMC40LDAuMS0wLjcsMC4yLTFjMC4xLTAuMiwwLjMtMC40LDAuNS0wLjZjMC4yLTAuMiwwLjUtMC4zLDAuOC0wLjNDMTMuMyw0LDEzLjYsNCwxMy45LDQgYzAuMywwLDAuNSwwLDAuOCwwLjFjMC4zLDAsMC41LDAuMSwwLjcsMC4yYzAuMiwwLjEsMC40LDAuMywwLjUsMC41QzE2LDUsMTYsNS4yLDE2LDUuNnYyLjljMCwwLjIsMCwwLjQsMCwwLjUgYzAsMC4xLDAuMSwwLjIsMC4zLDAuMmMwLjEsMCwwLjIsMCwwLjMsMFY5Ljh6IE0xNS4yLDYuOWMtMS4yLDAuNi0zLjEsMC4yLTMuMSwxLjRjMCwxLjQsMy4xLDEsMy4xLTAuNVY2Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-check: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik05IDE2LjE3TDQuODMgMTJsLTEuNDIgMS40MUw5IDE5IDIxIDdsLTEuNDEtMS40MXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-clear: url(data:image/svg+xml;base64,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);
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+  --jp-icon-code-check: url(data:image/svg+xml;base64,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);
+  --jp-icon-code: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTExLjQgMTguNkw2LjggMTRMMTEuNCA5LjRMMTAgOEw0IDE0TDEwIDIwTDExLjQgMTguNlpNMTYuNiAxOC42TDIxLjIgMTRMMTYuNiA5LjRMMTggOEwyNCAxNEwxOCAyMEwxNi42IDE4LjZWMTguNloiLz4KCTwvZz4KPC9zdmc+Cg==);
+  --jp-icon-collapse-all: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGgKICAgICAgICAgICAgZD0iTTggMmMxIDAgMTEgMCAxMiAwczIgMSAyIDJjMCAxIDAgMTEgMCAxMnMwIDItMiAyQzIwIDE0IDIwIDQgMjAgNFMxMCA0IDYgNGMwLTIgMS0yIDItMnoiIC8+CiAgICAgICAgPHBhdGgKICAgICAgICAgICAgZD0iTTE4IDhjMC0xLTEtMi0yLTJTNSA2IDQgNnMtMiAxLTIgMmMwIDEgMCAxMSAwIDEyczEgMiAyIDJjMSAwIDExIDAgMTIgMHMyLTEgMi0yYzAtMSAwLTExIDAtMTJ6bS0yIDB2MTJINFY4eiIgLz4KICAgICAgICA8cGF0aCBkPSJNNiAxM3YyaDh2LTJ6IiAvPgogICAgPC9nPgo8L3N2Zz4K);
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+  --jp-icon-copyright: url(data:image/svg+xml;base64,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);
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+  --jp-icon-ellipses: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iNSIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxMiIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxOSIgY3k9IjEyIiByPSIyIi8+CiAgPC9nPgo8L3N2Zz4K);
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+  --jp-icon-extension: url(data:image/svg+xml;base64,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);
+  --jp-icon-fast-forward: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTQgMThsOC41LTZMNCA2djEyem05LTEydjEybDguNS02TDEzIDZ6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-file-upload: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTZoNnYtNmg0bC03LTctNyA3aDR6bS00IDJoMTR2Mkg1eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-file: url(data:image/svg+xml;base64,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);
+  --jp-icon-filter-dot: url(data:image/svg+xml;base64,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);
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+  --jp-icon-filter: url(data:image/svg+xml;base64,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);
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+  --jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
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+  --jp-icon-info: url(data:image/svg+xml;base64,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);
+  --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaW5zcGVjdG9yLWljb24tY29sb3IganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
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+  --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+  --jp-icon-keyboard: url(data:image/svg+xml;base64,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);
+  --jp-icon-launch: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMzIgMzIiIHdpZHRoPSIzMiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yNiwyOEg2YTIuMDAyNywyLjAwMjcsMCwwLDEtMi0yVjZBMi4wMDI3LDIuMDAyNywwLDAsMSw2LDRIMTZWNkg2VjI2SDI2VjE2aDJWMjZBMi4wMDI3LDIuMDAyNywwLDAsMSwyNiwyOFoiLz4KICAgIDxwb2x5Z29uIHBvaW50cz0iMjAgMiAyMCA0IDI2LjU4NiA0IDE4IDEyLjU4NiAxOS40MTQgMTQgMjggNS40MTQgMjggMTIgMzAgMTIgMzAgMiAyMCAyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4K);
+  --jp-icon-markdown: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-down: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-up: url(data:image/svg+xml;base64,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);
+  --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-palette: url(data:image/svg+xml;base64,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);
+  --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-pdf: url(data:image/svg+xml;base64,PHN2ZwogICB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyMiAyMiIgd2lkdGg9IjE2Ij4KICAgIDxwYXRoIHRyYW5zZm9ybT0icm90YXRlKDQ1KSIgY2xhc3M9ImpwLWljb24tc2VsZWN0YWJsZSIgZmlsbD0iI0ZGMkEyQSIKICAgICAgIGQ9Im0gMjIuMzQ0MzY5LC0zLjAxNjM2NDIgaCA1LjYzODYwNCB2IDEuNTc5MjQzMyBoIC0zLjU0OTIyNyB2IDEuNTA4NjkyOTkgaCAzLjMzNzU3NiBWIDEuNjUwODE1NCBoIC0zLjMzNzU3NiB2IDMuNDM1MjYxMyBoIC0yLjA4OTM3NyB6IG0gLTcuMTM2NDQ0LDEuNTc5MjQzMyB2IDQuOTQzOTU0MyBoIDAuNzQ4OTIgcSAxLjI4MDc2MSwwIDEuOTUzNzAzLC0wLjYzNDk1MzUgMC42NzgzNjksLTAuNjM0OTUzNSAwLjY3ODM2OSwtMS44NDUxNjQxIDAsLTEuMjA0NzgzNTUgLTAuNjcyOTQyLC0xLjgzNDMxMDExIC0wLjY3Mjk0MiwtMC42Mjk1MjY1OSAtMS45NTkxMywtMC42Mjk1MjY1OSB6IG0gLTIuMDg5Mzc3LC0xLjU3OTI0MzMgaCAyLjIwMzM0MyBxIDEuODQ1MTY0LDAgMi43NDYwMzksMC4yNjU5MjA3IDAuOTA2MzAxLDAuMjYwNDkzNyAxLjU1MjEwOCwwLjg5MDAyMDMgMC41Njk4MywwLjU0ODEyMjMgMC44NDY2MDUsMS4yNjQ0ODAwNiAwLjI3Njc3NCwwLjcxNjM1NzgxIDAuMjc2Nzc0LDEuNjIyNjU4OTQgMCwwLjkxNzE1NTEgLTAuMjc2Nzc0LDEuNjM4OTM5OSAtMC4yNzY3NzUsMC43MTYzNTc4IC0wLjg0NjYwNSwxLjI2NDQ4IC0wLjY1MTIzNCwwLjYyOTUyNjYgLTEuNTYyOTYyLDAuODk1NDQ3MyAtMC45MTE3MjgsMC4yNjA0OTM3IC0yLjczNTE4NSwwLjI2MDQ5MzcgaCAtMi4yMDMzNDMgeiBtIC04LjE0NTg1NjUsMCBoIDMuNDY3ODIzIHEgMS41NDY2ODE2LDAgMi4zNzE1Nzg1LDAuNjg5MjIzIDAuODMwMzI0LDAuNjgzNzk2MSAwLjgzMDMyNCwxLjk1MzcwMzE0IDAsMS4yNzUzMzM5NyAtMC44MzAzMjQsMS45NjQ1NTcwNiBRIDkuOTg3MTk2MSwyLjI3NDkxNSA4LjQ0MDUxNDUsMi4yNzQ5MTUgSCA3LjA2MjA2ODQgViA1LjA4NjA3NjcgSCA0Ljk3MjY5MTUgWiBtIDIuMDg5Mzc2OSwxLjUxNDExOTkgdiAyLjI2MzAzOTQzIGggMS4xNTU5NDEgcSAwLjYwNzgxODgsMCAwLjkzODg2MjksLTAuMjkzMDU1NDcgMC4zMzEwNDQxLC0wLjI5ODQ4MjQxIDAuMzMxMDQ0MSwtMC44NDExNzc3MiAwLC0wLjU0MjY5NTMxIC0wLjMzMTA0NDEsLTAuODM1NzUwNzQgLTAuMzMxMDQ0MSwtMC4yOTMwNTU1IC0wLjkzODg2MjksLTAuMjkzMDU1NSB6IgovPgo8L3N2Zz4K);
+  --jp-icon-python: url(data:image/svg+xml;base64,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);
+  --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
+  --jp-icon-react: url(data:image/svg+xml;base64,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);
+  --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-regex: url(data:image/svg+xml;base64,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);
+  --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-search: url(data:image/svg+xml;base64,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);
+  --jp-icon-settings: url(data:image/svg+xml;base64,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);
+  --jp-icon-share: url(data:image/svg+xml;base64,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);
+  --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-tag: url(data:image/svg+xml;base64,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);
+  --jp-icon-terminal: url(data:image/svg+xml;base64,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);
+  --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-toc: url(data:image/svg+xml;base64,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);
+  --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-users: url(data:image/svg+xml;base64,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);
+  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-word: url(data:image/svg+xml;base64,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);
+  --jp-icon-yaml: url(data:image/svg+xml;base64,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);
+}
 
-.bp3-icon-archive::before{
-  content:""; }
+/* Icon CSS class declarations */
 
-.bp3-icon-arrow-bottom-left::before{
-  content:"↙"; }
+.jp-AddAboveIcon {
+  background-image: var(--jp-icon-add-above);
+}
 
-.bp3-icon-arrow-bottom-right::before{
-  content:"↘"; }
+.jp-AddBelowIcon {
+  background-image: var(--jp-icon-add-below);
+}
 
-.bp3-icon-arrow-down::before{
-  content:"↓"; }
+.jp-AddIcon {
+  background-image: var(--jp-icon-add);
+}
 
-.bp3-icon-arrow-left::before{
-  content:"←"; }
+.jp-BellIcon {
+  background-image: var(--jp-icon-bell);
+}
 
-.bp3-icon-arrow-right::before{
-  content:"→"; }
+.jp-BugDotIcon {
+  background-image: var(--jp-icon-bug-dot);
+}
 
-.bp3-icon-arrow-top-left::before{
-  content:"↖"; }
+.jp-BugIcon {
+  background-image: var(--jp-icon-bug);
+}
 
-.bp3-icon-arrow-top-right::before{
-  content:"↗"; }
+.jp-BuildIcon {
+  background-image: var(--jp-icon-build);
+}
 
-.bp3-icon-arrow-up::before{
-  content:"↑"; }
+.jp-CaretDownEmptyIcon {
+  background-image: var(--jp-icon-caret-down-empty);
+}
 
-.bp3-icon-arrows-horizontal::before{
-  content:"↔"; }
+.jp-CaretDownEmptyThinIcon {
+  background-image: var(--jp-icon-caret-down-empty-thin);
+}
 
-.bp3-icon-arrows-vertical::before{
-  content:"↕"; }
+.jp-CaretDownIcon {
+  background-image: var(--jp-icon-caret-down);
+}
 
-.bp3-icon-asterisk::before{
-  content:"*"; }
+.jp-CaretLeftIcon {
+  background-image: var(--jp-icon-caret-left);
+}
 
-.bp3-icon-automatic-updates::before{
-  content:""; }
+.jp-CaretRightIcon {
+  background-image: var(--jp-icon-caret-right);
+}
 
-.bp3-icon-badge::before{
-  content:""; }
+.jp-CaretUpEmptyThinIcon {
+  background-image: var(--jp-icon-caret-up-empty-thin);
+}
 
-.bp3-icon-ban-circle::before{
-  content:""; }
+.jp-CaretUpIcon {
+  background-image: var(--jp-icon-caret-up);
+}
 
-.bp3-icon-bank-account::before{
-  content:""; }
+.jp-CaseSensitiveIcon {
+  background-image: var(--jp-icon-case-sensitive);
+}
 
-.bp3-icon-barcode::before{
-  content:""; }
+.jp-CheckIcon {
+  background-image: var(--jp-icon-check);
+}
 
-.bp3-icon-blank::before{
-  content:""; }
+.jp-CircleEmptyIcon {
+  background-image: var(--jp-icon-circle-empty);
+}
 
-.bp3-icon-blocked-person::before{
-  content:""; }
+.jp-CircleIcon {
+  background-image: var(--jp-icon-circle);
+}
 
-.bp3-icon-bold::before{
-  content:""; }
-
-.bp3-icon-book::before{
-  content:""; }
+.jp-ClearIcon {
+  background-image: var(--jp-icon-clear);
+}
 
-.bp3-icon-bookmark::before{
-  content:""; }
+.jp-CloseIcon {
+  background-image: var(--jp-icon-close);
+}
 
-.bp3-icon-box::before{
-  content:""; }
+.jp-CodeCheckIcon {
+  background-image: var(--jp-icon-code-check);
+}
 
-.bp3-icon-briefcase::before{
-  content:""; }
+.jp-CodeIcon {
+  background-image: var(--jp-icon-code);
+}
 
-.bp3-icon-bring-data::before{
-  content:""; }
+.jp-CollapseAllIcon {
+  background-image: var(--jp-icon-collapse-all);
+}
 
-.bp3-icon-build::before{
-  content:""; }
+.jp-ConsoleIcon {
+  background-image: var(--jp-icon-console);
+}
 
-.bp3-icon-calculator::before{
-  content:""; }
+.jp-CopyIcon {
+  background-image: var(--jp-icon-copy);
+}
 
-.bp3-icon-calendar::before{
-  content:""; }
+.jp-CopyrightIcon {
+  background-image: var(--jp-icon-copyright);
+}
 
-.bp3-icon-camera::before{
-  content:""; }
+.jp-CutIcon {
+  background-image: var(--jp-icon-cut);
+}
 
-.bp3-icon-caret-down::before{
-  content:"⌄"; }
+.jp-DeleteIcon {
+  background-image: var(--jp-icon-delete);
+}
 
-.bp3-icon-caret-left::before{
-  content:"〈"; }
+.jp-DownloadIcon {
+  background-image: var(--jp-icon-download);
+}
 
-.bp3-icon-caret-right::before{
-  content:"〉"; }
+.jp-DuplicateIcon {
+  background-image: var(--jp-icon-duplicate);
+}
 
-.bp3-icon-caret-up::before{
-  content:"⌃"; }
+.jp-EditIcon {
+  background-image: var(--jp-icon-edit);
+}
 
-.bp3-icon-cell-tower::before{
-  content:""; }
+.jp-EllipsesIcon {
+  background-image: var(--jp-icon-ellipses);
+}
 
-.bp3-icon-changes::before{
-  content:""; }
+.jp-ErrorIcon {
+  background-image: var(--jp-icon-error);
+}
 
-.bp3-icon-chart::before{
-  content:""; }
+.jp-ExpandAllIcon {
+  background-image: var(--jp-icon-expand-all);
+}
 
-.bp3-icon-chat::before{
-  content:""; }
+.jp-ExtensionIcon {
+  background-image: var(--jp-icon-extension);
+}
 
-.bp3-icon-chevron-backward::before{
-  content:""; }
+.jp-FastForwardIcon {
+  background-image: var(--jp-icon-fast-forward);
+}
 
-.bp3-icon-chevron-down::before{
-  content:""; }
+.jp-FileIcon {
+  background-image: var(--jp-icon-file);
+}
 
-.bp3-icon-chevron-forward::before{
-  content:""; }
+.jp-FileUploadIcon {
+  background-image: var(--jp-icon-file-upload);
+}
 
-.bp3-icon-chevron-left::before{
-  content:""; }
+.jp-FilterDotIcon {
+  background-image: var(--jp-icon-filter-dot);
+}
 
-.bp3-icon-chevron-right::before{
-  content:""; }
+.jp-FilterIcon {
+  background-image: var(--jp-icon-filter);
+}
 
-.bp3-icon-chevron-up::before{
-  content:""; }
+.jp-FilterListIcon {
+  background-image: var(--jp-icon-filter-list);
+}
 
-.bp3-icon-circle::before{
-  content:""; }
+.jp-FolderFavoriteIcon {
+  background-image: var(--jp-icon-folder-favorite);
+}
 
-.bp3-icon-circle-arrow-down::before{
-  content:""; }
+.jp-FolderIcon {
+  background-image: var(--jp-icon-folder);
+}
 
-.bp3-icon-circle-arrow-left::before{
-  content:""; }
+.jp-HomeIcon {
+  background-image: var(--jp-icon-home);
+}
 
-.bp3-icon-circle-arrow-right::before{
-  content:""; }
+.jp-Html5Icon {
+  background-image: var(--jp-icon-html5);
+}
 
-.bp3-icon-circle-arrow-up::before{
-  content:""; }
+.jp-ImageIcon {
+  background-image: var(--jp-icon-image);
+}
 
-.bp3-icon-citation::before{
-  content:""; }
+.jp-InfoIcon {
+  background-image: var(--jp-icon-info);
+}
 
-.bp3-icon-clean::before{
-  content:""; }
+.jp-InspectorIcon {
+  background-image: var(--jp-icon-inspector);
+}
 
-.bp3-icon-clipboard::before{
-  content:""; }
+.jp-JsonIcon {
+  background-image: var(--jp-icon-json);
+}
 
-.bp3-icon-cloud::before{
-  content:"☁"; }
+.jp-JuliaIcon {
+  background-image: var(--jp-icon-julia);
+}
 
-.bp3-icon-cloud-download::before{
-  content:""; }
+.jp-JupyterFaviconIcon {
+  background-image: var(--jp-icon-jupyter-favicon);
+}
 
-.bp3-icon-cloud-upload::before{
-  content:""; }
+.jp-JupyterIcon {
+  background-image: var(--jp-icon-jupyter);
+}
 
-.bp3-icon-code::before{
-  content:""; }
+.jp-JupyterlabWordmarkIcon {
+  background-image: var(--jp-icon-jupyterlab-wordmark);
+}
 
-.bp3-icon-code-block::before{
-  content:""; }
+.jp-KernelIcon {
+  background-image: var(--jp-icon-kernel);
+}
 
-.bp3-icon-cog::before{
-  content:""; }
+.jp-KeyboardIcon {
+  background-image: var(--jp-icon-keyboard);
+}
 
-.bp3-icon-collapse-all::before{
-  content:""; }
+.jp-LaunchIcon {
+  background-image: var(--jp-icon-launch);
+}
 
-.bp3-icon-column-layout::before{
-  content:""; }
+.jp-LauncherIcon {
+  background-image: var(--jp-icon-launcher);
+}
 
-.bp3-icon-comment::before{
-  content:""; }
+.jp-LineFormIcon {
+  background-image: var(--jp-icon-line-form);
+}
 
-.bp3-icon-comparison::before{
-  content:""; }
+.jp-LinkIcon {
+  background-image: var(--jp-icon-link);
+}
 
-.bp3-icon-compass::before{
-  content:""; }
+.jp-ListIcon {
+  background-image: var(--jp-icon-list);
+}
 
-.bp3-icon-compressed::before{
-  content:""; }
+.jp-MarkdownIcon {
+  background-image: var(--jp-icon-markdown);
+}
 
-.bp3-icon-confirm::before{
-  content:""; }
+.jp-MoveDownIcon {
+  background-image: var(--jp-icon-move-down);
+}
 
-.bp3-icon-console::before{
-  content:""; }
+.jp-MoveUpIcon {
+  background-image: var(--jp-icon-move-up);
+}
 
-.bp3-icon-contrast::before{
-  content:""; }
+.jp-NewFolderIcon {
+  background-image: var(--jp-icon-new-folder);
+}
 
-.bp3-icon-control::before{
-  content:""; }
+.jp-NotTrustedIcon {
+  background-image: var(--jp-icon-not-trusted);
+}
 
-.bp3-icon-credit-card::before{
-  content:""; }
+.jp-NotebookIcon {
+  background-image: var(--jp-icon-notebook);
+}
 
-.bp3-icon-cross::before{
-  content:"✗"; }
+.jp-NumberingIcon {
+  background-image: var(--jp-icon-numbering);
+}
 
-.bp3-icon-crown::before{
-  content:""; }
+.jp-OfflineBoltIcon {
+  background-image: var(--jp-icon-offline-bolt);
+}
 
-.bp3-icon-cube::before{
-  content:""; }
+.jp-PaletteIcon {
+  background-image: var(--jp-icon-palette);
+}
 
-.bp3-icon-cube-add::before{
-  content:""; }
+.jp-PasteIcon {
+  background-image: var(--jp-icon-paste);
+}
 
-.bp3-icon-cube-remove::before{
-  content:""; }
+.jp-PdfIcon {
+  background-image: var(--jp-icon-pdf);
+}
 
-.bp3-icon-curved-range-chart::before{
-  content:""; }
+.jp-PythonIcon {
+  background-image: var(--jp-icon-python);
+}
 
-.bp3-icon-cut::before{
-  content:""; }
+.jp-RKernelIcon {
+  background-image: var(--jp-icon-r-kernel);
+}
 
-.bp3-icon-dashboard::before{
-  content:""; }
+.jp-ReactIcon {
+  background-image: var(--jp-icon-react);
+}
 
-.bp3-icon-data-lineage::before{
-  content:""; }
+.jp-RedoIcon {
+  background-image: var(--jp-icon-redo);
+}
 
-.bp3-icon-database::before{
-  content:""; }
+.jp-RefreshIcon {
+  background-image: var(--jp-icon-refresh);
+}
 
-.bp3-icon-delete::before{
-  content:""; }
+.jp-RegexIcon {
+  background-image: var(--jp-icon-regex);
+}
 
-.bp3-icon-delta::before{
-  content:"Δ"; }
+.jp-RunIcon {
+  background-image: var(--jp-icon-run);
+}
 
-.bp3-icon-derive-column::before{
-  content:""; }
+.jp-RunningIcon {
+  background-image: var(--jp-icon-running);
+}
 
-.bp3-icon-desktop::before{
-  content:""; }
+.jp-SaveIcon {
+  background-image: var(--jp-icon-save);
+}
 
-.bp3-icon-diagnosis::before{
-  content:""; }
+.jp-SearchIcon {
+  background-image: var(--jp-icon-search);
+}
 
-.bp3-icon-diagram-tree::before{
-  content:""; }
+.jp-SettingsIcon {
+  background-image: var(--jp-icon-settings);
+}
 
-.bp3-icon-direction-left::before{
-  content:""; }
+.jp-ShareIcon {
+  background-image: var(--jp-icon-share);
+}
 
-.bp3-icon-direction-right::before{
-  content:""; }
+.jp-SpreadsheetIcon {
+  background-image: var(--jp-icon-spreadsheet);
+}
 
-.bp3-icon-disable::before{
-  content:""; }
+.jp-StopIcon {
+  background-image: var(--jp-icon-stop);
+}
 
-.bp3-icon-document::before{
-  content:""; }
+.jp-TabIcon {
+  background-image: var(--jp-icon-tab);
+}
 
-.bp3-icon-document-open::before{
-  content:""; }
+.jp-TableRowsIcon {
+  background-image: var(--jp-icon-table-rows);
+}
 
-.bp3-icon-document-share::before{
-  content:""; }
+.jp-TagIcon {
+  background-image: var(--jp-icon-tag);
+}
 
-.bp3-icon-dollar::before{
-  content:"$"; }
+.jp-TerminalIcon {
+  background-image: var(--jp-icon-terminal);
+}
 
-.bp3-icon-dot::before{
-  content:"•"; }
+.jp-TextEditorIcon {
+  background-image: var(--jp-icon-text-editor);
+}
 
-.bp3-icon-double-caret-horizontal::before{
-  content:""; }
+.jp-TocIcon {
+  background-image: var(--jp-icon-toc);
+}
 
-.bp3-icon-double-caret-vertical::before{
-  content:""; }
+.jp-TreeViewIcon {
+  background-image: var(--jp-icon-tree-view);
+}
 
-.bp3-icon-double-chevron-down::before{
-  content:""; }
+.jp-TrustedIcon {
+  background-image: var(--jp-icon-trusted);
+}
 
-.bp3-icon-double-chevron-left::before{
-  content:""; }
+.jp-UndoIcon {
+  background-image: var(--jp-icon-undo);
+}
 
-.bp3-icon-double-chevron-right::before{
-  content:""; }
+.jp-UserIcon {
+  background-image: var(--jp-icon-user);
+}
 
-.bp3-icon-double-chevron-up::before{
-  content:""; }
+.jp-UsersIcon {
+  background-image: var(--jp-icon-users);
+}
 
-.bp3-icon-doughnut-chart::before{
-  content:""; }
+.jp-VegaIcon {
+  background-image: var(--jp-icon-vega);
+}
 
-.bp3-icon-download::before{
-  content:""; }
+.jp-WordIcon {
+  background-image: var(--jp-icon-word);
+}
 
-.bp3-icon-drag-handle-horizontal::before{
-  content:""; }
+.jp-YamlIcon {
+  background-image: var(--jp-icon-yaml);
+}
 
-.bp3-icon-drag-handle-vertical::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-draw::before{
-  content:""; }
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
 
-.bp3-icon-drive-time::before{
-  content:""; }
+.jp-Icon,
+.jp-MaterialIcon {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
 
-.bp3-icon-duplicate::before{
-  content:""; }
+.jp-Icon-cover {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: cover;
+}
 
-.bp3-icon-edit::before{
-  content:"✎"; }
+/**
+ * (DEPRECATED) Support for specific CSS icon sizes
+ */
 
-.bp3-icon-eject::before{
-  content:"⏏"; }
+.jp-Icon-16 {
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
 
-.bp3-icon-endorsed::before{
-  content:""; }
-
-.bp3-icon-envelope::before{
-  content:"✉"; }
-
-.bp3-icon-equals::before{
-  content:""; }
-
-.bp3-icon-eraser::before{
-  content:""; }
-
-.bp3-icon-error::before{
-  content:""; }
-
-.bp3-icon-euro::before{
-  content:"€"; }
+.jp-Icon-18 {
+  background-size: 18px;
+  min-width: 18px;
+  min-height: 18px;
+}
 
-.bp3-icon-exchange::before{
-  content:""; }
+.jp-Icon-20 {
+  background-size: 20px;
+  min-width: 20px;
+  min-height: 20px;
+}
 
-.bp3-icon-exclude-row::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-expand-all::before{
-  content:""; }
+.lm-TabBar .lm-TabBar-addButton {
+  align-items: center;
+  display: flex;
+  padding: 4px;
+  padding-bottom: 5px;
+  margin-right: 1px;
+  background-color: var(--jp-layout-color2);
+}
 
-.bp3-icon-export::before{
-  content:""; }
+.lm-TabBar .lm-TabBar-addButton:hover {
+  background-color: var(--jp-layout-color1);
+}
 
-.bp3-icon-eye-off::before{
-  content:""; }
+.lm-DockPanel-tabBar .lm-TabBar-tab {
+  width: var(--jp-private-horizontal-tab-width);
+}
 
-.bp3-icon-eye-on::before{
-  content:""; }
+.lm-DockPanel-tabBar .lm-TabBar-content {
+  flex: unset;
+}
 
-.bp3-icon-eye-open::before{
-  content:""; }
+.lm-DockPanel-tabBar[data-orientation='horizontal'] {
+  flex: 1 1 auto;
+}
 
-.bp3-icon-fast-backward::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-fast-forward::before{
-  content:""; }
+/**
+ * Support for icons as inline SVG HTMLElements
+ */
 
-.bp3-icon-feed::before{
-  content:""; }
+/* recolor the primary elements of an icon */
+.jp-icon0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
 
-.bp3-icon-feed-subscribed::before{
-  content:""; }
+.jp-icon1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
 
-.bp3-icon-film::before{
-  content:""; }
+.jp-icon2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
 
-.bp3-icon-filter::before{
-  content:""; }
+.jp-icon3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
 
-.bp3-icon-filter-keep::before{
-  content:""; }
+.jp-icon4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
 
-.bp3-icon-filter-list::before{
-  content:""; }
+.jp-icon0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
 
-.bp3-icon-filter-open::before{
-  content:""; }
+.jp-icon1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
 
-.bp3-icon-filter-remove::before{
-  content:""; }
+.jp-icon2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
 
-.bp3-icon-flag::before{
-  content:"⚑"; }
+.jp-icon3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
 
-.bp3-icon-flame::before{
-  content:""; }
+.jp-icon4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
 
-.bp3-icon-flash::before{
-  content:""; }
+/* recolor the accent elements of an icon */
+.jp-icon-accent0[fill] {
+  fill: var(--jp-layout-color0);
+}
 
-.bp3-icon-floppy-disk::before{
-  content:""; }
+.jp-icon-accent1[fill] {
+  fill: var(--jp-layout-color1);
+}
 
-.bp3-icon-flow-branch::before{
-  content:""; }
+.jp-icon-accent2[fill] {
+  fill: var(--jp-layout-color2);
+}
 
-.bp3-icon-flow-end::before{
-  content:""; }
+.jp-icon-accent3[fill] {
+  fill: var(--jp-layout-color3);
+}
 
-.bp3-icon-flow-linear::before{
-  content:""; }
+.jp-icon-accent4[fill] {
+  fill: var(--jp-layout-color4);
+}
 
-.bp3-icon-flow-review::before{
-  content:""; }
+.jp-icon-accent0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
 
-.bp3-icon-flow-review-branch::before{
-  content:""; }
+.jp-icon-accent1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
 
-.bp3-icon-flows::before{
-  content:""; }
+.jp-icon-accent2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
 
-.bp3-icon-folder-close::before{
-  content:""; }
+.jp-icon-accent3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
 
-.bp3-icon-folder-new::before{
-  content:""; }
+.jp-icon-accent4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
 
-.bp3-icon-folder-open::before{
-  content:""; }
+/* set the color of an icon to transparent */
+.jp-icon-none[fill] {
+  fill: none;
+}
 
-.bp3-icon-folder-shared::before{
-  content:""; }
+.jp-icon-none[stroke] {
+  stroke: none;
+}
 
-.bp3-icon-folder-shared-open::before{
-  content:""; }
+/* brand icon colors. Same for light and dark */
+.jp-icon-brand0[fill] {
+  fill: var(--jp-brand-color0);
+}
 
-.bp3-icon-follower::before{
-  content:""; }
+.jp-icon-brand1[fill] {
+  fill: var(--jp-brand-color1);
+}
 
-.bp3-icon-following::before{
-  content:""; }
+.jp-icon-brand2[fill] {
+  fill: var(--jp-brand-color2);
+}
 
-.bp3-icon-font::before{
-  content:""; }
+.jp-icon-brand3[fill] {
+  fill: var(--jp-brand-color3);
+}
 
-.bp3-icon-fork::before{
-  content:""; }
+.jp-icon-brand4[fill] {
+  fill: var(--jp-brand-color4);
+}
 
-.bp3-icon-form::before{
-  content:""; }
+.jp-icon-brand0[stroke] {
+  stroke: var(--jp-brand-color0);
+}
 
-.bp3-icon-full-circle::before{
-  content:""; }
+.jp-icon-brand1[stroke] {
+  stroke: var(--jp-brand-color1);
+}
 
-.bp3-icon-full-stacked-chart::before{
-  content:""; }
+.jp-icon-brand2[stroke] {
+  stroke: var(--jp-brand-color2);
+}
 
-.bp3-icon-fullscreen::before{
-  content:""; }
+.jp-icon-brand3[stroke] {
+  stroke: var(--jp-brand-color3);
+}
 
-.bp3-icon-function::before{
-  content:""; }
+.jp-icon-brand4[stroke] {
+  stroke: var(--jp-brand-color4);
+}
 
-.bp3-icon-gantt-chart::before{
-  content:""; }
+/* warn icon colors. Same for light and dark */
+.jp-icon-warn0[fill] {
+  fill: var(--jp-warn-color0);
+}
 
-.bp3-icon-geolocation::before{
-  content:""; }
+.jp-icon-warn1[fill] {
+  fill: var(--jp-warn-color1);
+}
 
-.bp3-icon-geosearch::before{
-  content:""; }
+.jp-icon-warn2[fill] {
+  fill: var(--jp-warn-color2);
+}
 
-.bp3-icon-git-branch::before{
-  content:""; }
+.jp-icon-warn3[fill] {
+  fill: var(--jp-warn-color3);
+}
 
-.bp3-icon-git-commit::before{
-  content:""; }
+.jp-icon-warn0[stroke] {
+  stroke: var(--jp-warn-color0);
+}
 
-.bp3-icon-git-merge::before{
-  content:""; }
+.jp-icon-warn1[stroke] {
+  stroke: var(--jp-warn-color1);
+}
 
-.bp3-icon-git-new-branch::before{
-  content:""; }
+.jp-icon-warn2[stroke] {
+  stroke: var(--jp-warn-color2);
+}
 
-.bp3-icon-git-pull::before{
-  content:""; }
+.jp-icon-warn3[stroke] {
+  stroke: var(--jp-warn-color3);
+}
 
-.bp3-icon-git-push::before{
-  content:""; }
+/* icon colors that contrast well with each other and most backgrounds */
+.jp-icon-contrast0[fill] {
+  fill: var(--jp-icon-contrast-color0);
+}
 
-.bp3-icon-git-repo::before{
-  content:""; }
+.jp-icon-contrast1[fill] {
+  fill: var(--jp-icon-contrast-color1);
+}
 
-.bp3-icon-glass::before{
-  content:""; }
+.jp-icon-contrast2[fill] {
+  fill: var(--jp-icon-contrast-color2);
+}
 
-.bp3-icon-globe::before{
-  content:""; }
+.jp-icon-contrast3[fill] {
+  fill: var(--jp-icon-contrast-color3);
+}
 
-.bp3-icon-globe-network::before{
-  content:""; }
+.jp-icon-contrast0[stroke] {
+  stroke: var(--jp-icon-contrast-color0);
+}
 
-.bp3-icon-graph::before{
-  content:""; }
+.jp-icon-contrast1[stroke] {
+  stroke: var(--jp-icon-contrast-color1);
+}
 
-.bp3-icon-graph-remove::before{
-  content:""; }
+.jp-icon-contrast2[stroke] {
+  stroke: var(--jp-icon-contrast-color2);
+}
 
-.bp3-icon-greater-than::before{
-  content:""; }
+.jp-icon-contrast3[stroke] {
+  stroke: var(--jp-icon-contrast-color3);
+}
 
-.bp3-icon-greater-than-or-equal-to::before{
-  content:""; }
+.jp-icon-dot[fill] {
+  fill: var(--jp-warn-color0);
+}
 
-.bp3-icon-grid::before{
-  content:""; }
+.jp-jupyter-icon-color[fill] {
+  fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
+}
 
-.bp3-icon-grid-view::before{
-  content:""; }
+.jp-notebook-icon-color[fill] {
+  fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
+}
 
-.bp3-icon-group-objects::before{
-  content:""; }
+.jp-json-icon-color[fill] {
+  fill: var(--jp-json-icon-color, var(--jp-warn-color1));
+}
 
-.bp3-icon-grouped-bar-chart::before{
-  content:""; }
+.jp-console-icon-color[fill] {
+  fill: var(--jp-console-icon-color, white);
+}
 
-.bp3-icon-hand::before{
-  content:""; }
+.jp-console-icon-background-color[fill] {
+  fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
+}
 
-.bp3-icon-hand-down::before{
-  content:""; }
+.jp-terminal-icon-color[fill] {
+  fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
+}
 
-.bp3-icon-hand-left::before{
-  content:""; }
+.jp-terminal-icon-background-color[fill] {
+  fill: var(
+    --jp-terminal-icon-background-color,
+    var(--jp-inverse-layout-color2)
+  );
+}
 
-.bp3-icon-hand-right::before{
-  content:""; }
+.jp-text-editor-icon-color[fill] {
+  fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
+}
 
-.bp3-icon-hand-up::before{
-  content:""; }
+.jp-inspector-icon-color[fill] {
+  fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
+}
 
-.bp3-icon-header::before{
-  content:""; }
+/* CSS for icons in selected filebrowser listing items */
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
 
-.bp3-icon-header-one::before{
-  content:""; }
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
 
-.bp3-icon-header-two::before{
-  content:""; }
+/* stylelint-disable selector-max-class, selector-max-compound-selectors */
 
-.bp3-icon-headset::before{
-  content:""; }
+/**
+* TODO: come up with non css-hack solution for showing the busy icon on top
+*  of the close icon
+* CSS for complex behavior of close icon of tabs in the main area tabbar
+*/
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon3[fill] {
+  fill: none;
+}
 
-.bp3-icon-heart::before{
-  content:"♥"; }
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon-busy[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
 
-.bp3-icon-heart-broken::before{
-  content:""; }
+/* stylelint-enable selector-max-class, selector-max-compound-selectors */
 
-.bp3-icon-heat-grid::before{
-  content:""; }
+/* CSS for icons in status bar */
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
 
-.bp3-icon-heatmap::before{
-  content:""; }
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
 
-.bp3-icon-help::before{
-  content:"?"; }
-
-.bp3-icon-helper-management::before{
-  content:""; }
-
-.bp3-icon-highlight::before{
-  content:""; }
-
-.bp3-icon-history::before{
-  content:""; }
+/* special handling for splash icon CSS. While the theme CSS reloads during
+   splash, the splash icon can loose theming. To prevent that, we set a
+   default for its color variable */
+:root {
+  --jp-warn-color0: var(--md-orange-700);
+}
 
-.bp3-icon-home::before{
-  content:"⌂"; }
+/* not sure what to do with this one, used in filebrowser listing */
+.jp-DragIcon {
+  margin-right: 4px;
+}
 
-.bp3-icon-horizontal-bar-chart::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-horizontal-bar-chart-asc::before{
-  content:""; }
+/**
+ * Support for alt colors for icons as inline SVG HTMLElements
+ */
 
-.bp3-icon-horizontal-bar-chart-desc::before{
-  content:""; }
+/* alt recolor the primary elements of an icon */
+.jp-icon-alt .jp-icon0[fill] {
+  fill: var(--jp-layout-color0);
+}
 
-.bp3-icon-horizontal-distribution::before{
-  content:""; }
+.jp-icon-alt .jp-icon1[fill] {
+  fill: var(--jp-layout-color1);
+}
 
-.bp3-icon-id-number::before{
-  content:""; }
+.jp-icon-alt .jp-icon2[fill] {
+  fill: var(--jp-layout-color2);
+}
 
-.bp3-icon-image-rotate-left::before{
-  content:""; }
+.jp-icon-alt .jp-icon3[fill] {
+  fill: var(--jp-layout-color3);
+}
 
-.bp3-icon-image-rotate-right::before{
-  content:""; }
+.jp-icon-alt .jp-icon4[fill] {
+  fill: var(--jp-layout-color4);
+}
 
-.bp3-icon-import::before{
-  content:""; }
+.jp-icon-alt .jp-icon0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
 
-.bp3-icon-inbox::before{
-  content:""; }
+.jp-icon-alt .jp-icon1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
 
-.bp3-icon-inbox-filtered::before{
-  content:""; }
+.jp-icon-alt .jp-icon2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
 
-.bp3-icon-inbox-geo::before{
-  content:""; }
+.jp-icon-alt .jp-icon3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
 
-.bp3-icon-inbox-search::before{
-  content:""; }
+.jp-icon-alt .jp-icon4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
 
-.bp3-icon-inbox-update::before{
-  content:""; }
+/* alt recolor the accent elements of an icon */
+.jp-icon-alt .jp-icon-accent0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
 
-.bp3-icon-info-sign::before{
-  content:"ℹ"; }
+.jp-icon-alt .jp-icon-accent1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
 
-.bp3-icon-inheritance::before{
-  content:""; }
+.jp-icon-alt .jp-icon-accent2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
 
-.bp3-icon-inner-join::before{
-  content:""; }
+.jp-icon-alt .jp-icon-accent3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
 
-.bp3-icon-insert::before{
-  content:""; }
+.jp-icon-alt .jp-icon-accent4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
 
-.bp3-icon-intersection::before{
-  content:""; }
+.jp-icon-alt .jp-icon-accent0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
 
-.bp3-icon-ip-address::before{
-  content:""; }
+.jp-icon-alt .jp-icon-accent1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
 
-.bp3-icon-issue::before{
-  content:""; }
+.jp-icon-alt .jp-icon-accent2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
 
-.bp3-icon-issue-closed::before{
-  content:""; }
+.jp-icon-alt .jp-icon-accent3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
 
-.bp3-icon-issue-new::before{
-  content:""; }
+.jp-icon-alt .jp-icon-accent4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
 
-.bp3-icon-italic::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-join-table::before{
-  content:""; }
+.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
+  display: none !important;
+}
 
-.bp3-icon-key::before{
-  content:""; }
+/**
+ * Support for hover colors for icons as inline SVG HTMLElements
+ */
 
-.bp3-icon-key-backspace::before{
-  content:""; }
+/**
+ * regular colors
+ */
 
-.bp3-icon-key-command::before{
-  content:""; }
+/* recolor the primary elements of an icon */
+.jp-icon-hover :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
 
-.bp3-icon-key-control::before{
-  content:""; }
+.jp-icon-hover :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
 
-.bp3-icon-key-delete::before{
-  content:""; }
+.jp-icon-hover :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
 
-.bp3-icon-key-enter::before{
-  content:""; }
+.jp-icon-hover :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
 
-.bp3-icon-key-escape::before{
-  content:""; }
+.jp-icon-hover :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
 
-.bp3-icon-key-option::before{
-  content:""; }
+.jp-icon-hover :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
 
-.bp3-icon-key-shift::before{
-  content:""; }
+.jp-icon-hover :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
 
-.bp3-icon-key-tab::before{
-  content:""; }
+.jp-icon-hover :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
 
-.bp3-icon-known-vehicle::before{
-  content:""; }
+.jp-icon-hover :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
 
-.bp3-icon-lab-test::before{
-  content:""; }
+.jp-icon-hover :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
 
-.bp3-icon-label::before{
-  content:""; }
+/* recolor the accent elements of an icon */
+.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
 
-.bp3-icon-layer::before{
-  content:""; }
+.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
 
-.bp3-icon-layers::before{
-  content:""; }
+.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
 
-.bp3-icon-layout::before{
-  content:""; }
+.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
 
-.bp3-icon-layout-auto::before{
-  content:""; }
+.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
 
-.bp3-icon-layout-balloon::before{
-  content:""; }
+.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
 
-.bp3-icon-layout-circle::before{
-  content:""; }
+.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
 
-.bp3-icon-layout-grid::before{
-  content:""; }
+.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
 
-.bp3-icon-layout-group-by::before{
-  content:""; }
+.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
 
-.bp3-icon-layout-hierarchy::before{
-  content:""; }
+.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
 
-.bp3-icon-layout-linear::before{
-  content:""; }
+/* set the color of an icon to transparent */
+.jp-icon-hover :hover .jp-icon-none-hover[fill] {
+  fill: none;
+}
 
-.bp3-icon-layout-skew-grid::before{
-  content:""; }
+.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
+  stroke: none;
+}
 
-.bp3-icon-layout-sorted-clusters::before{
-  content:""; }
+/**
+ * inverse colors
+ */
 
-.bp3-icon-learning::before{
-  content:""; }
+/* inverse recolor the primary elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
 
-.bp3-icon-left-join::before{
-  content:""; }
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
 
-.bp3-icon-less-than::before{
-  content:""; }
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
 
-.bp3-icon-less-than-or-equal-to::before{
-  content:""; }
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
 
-.bp3-icon-lifesaver::before{
-  content:""; }
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
 
-.bp3-icon-lightbulb::before{
-  content:""; }
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
 
-.bp3-icon-link::before{
-  content:""; }
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
 
-.bp3-icon-list::before{
-  content:"☰"; }
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
 
-.bp3-icon-list-columns::before{
-  content:""; }
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
 
-.bp3-icon-list-detail-view::before{
-  content:""; }
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
 
-.bp3-icon-locate::before{
-  content:""; }
+/* inverse recolor the accent elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
 
-.bp3-icon-lock::before{
-  content:""; }
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
 
-.bp3-icon-log-in::before{
-  content:""; }
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
 
-.bp3-icon-log-out::before{
-  content:""; }
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
 
-.bp3-icon-manual::before{
-  content:""; }
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
 
-.bp3-icon-manually-entered-data::before{
-  content:""; }
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
 
-.bp3-icon-map::before{
-  content:""; }
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
 
-.bp3-icon-map-create::before{
-  content:""; }
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
 
-.bp3-icon-map-marker::before{
-  content:""; }
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
 
-.bp3-icon-maximize::before{
-  content:""; }
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
 
-.bp3-icon-media::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-menu::before{
-  content:""; }
+.jp-IFrame {
+  width: 100%;
+  height: 100%;
+}
 
-.bp3-icon-menu-closed::before{
-  content:""; }
+.jp-IFrame > iframe {
+  border: none;
+}
 
-.bp3-icon-menu-open::before{
-  content:""; }
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-IFrame {
+  position: relative;
+}
 
-.bp3-icon-merge-columns::before{
-  content:""; }
+body.lm-mod-override-cursor .jp-IFrame::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
 
-.bp3-icon-merge-links::before{
-  content:""; }
-
-.bp3-icon-minimize::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-minus::before{
-  content:"−"; }
+.jp-HoverBox {
+  position: fixed;
+}
 
-.bp3-icon-mobile-phone::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-mobile-video::before{
-  content:""; }
+.jp-FormGroup-content fieldset {
+  border: none;
+  padding: 0;
+  min-width: 0;
+  width: 100%;
+}
 
-.bp3-icon-moon::before{
-  content:""; }
+/* stylelint-disable selector-max-type */
 
-.bp3-icon-more::before{
-  content:""; }
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
+  font-size: var(--jp-content-font-size2);
+  border-color: var(--jp-input-border-color);
+  border-style: solid;
+  border-radius: var(--jp-border-radius);
+  border-width: 1px;
+  padding: 6px 8px;
+  background: none;
+  color: var(--jp-ui-font-color0);
+  height: inherit;
+}
 
-.bp3-icon-mountain::before{
-  content:""; }
+.jp-FormGroup-content fieldset input[type='checkbox'] {
+  position: relative;
+  top: 2px;
+  margin-left: 0;
+}
 
-.bp3-icon-move::before{
-  content:""; }
+.jp-FormGroup-content button.jp-mod-styled {
+  cursor: pointer;
+}
 
-.bp3-icon-mugshot::before{
-  content:""; }
+.jp-FormGroup-content .checkbox label {
+  cursor: pointer;
+  font-size: var(--jp-content-font-size1);
+}
 
-.bp3-icon-multi-select::before{
-  content:""; }
+.jp-FormGroup-content .jp-root > fieldset > legend {
+  display: none;
+}
 
-.bp3-icon-music::before{
-  content:""; }
+.jp-FormGroup-content .jp-root > fieldset > p {
+  display: none;
+}
 
-.bp3-icon-new-drawing::before{
-  content:""; }
+/** copy of `input.jp-mod-styled:focus` style */
+.jp-FormGroup-content fieldset input:focus,
+.jp-FormGroup-content fieldset select:focus {
+  -moz-outline-radius: unset;
+  outline: var(--jp-border-width) solid var(--md-blue-500);
+  outline-offset: -1px;
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
 
-.bp3-icon-new-grid-item::before{
-  content:""; }
+.jp-FormGroup-content fieldset input:hover:not(:focus),
+.jp-FormGroup-content fieldset select:hover:not(:focus) {
+  background-color: var(--jp-border-color2);
+}
 
-.bp3-icon-new-layer::before{
-  content:""; }
+/* stylelint-enable selector-max-type */
 
-.bp3-icon-new-layers::before{
-  content:""; }
+.jp-FormGroup-content .checkbox .field-description {
+  /* Disable default description field for checkbox:
+   because other widgets do not have description fields,
+   we add descriptions to each widget on the field level.
+  */
+  display: none;
+}
 
-.bp3-icon-new-link::before{
-  content:""; }
+.jp-FormGroup-content #root__description {
+  display: none;
+}
 
-.bp3-icon-new-object::before{
-  content:""; }
+.jp-FormGroup-content .jp-modifiedIndicator {
+  width: 5px;
+  background-color: var(--jp-brand-color2);
+  margin-top: 0;
+  margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
+  flex-shrink: 0;
+}
 
-.bp3-icon-new-person::before{
-  content:""; }
+.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
+  background-color: var(--jp-error-color0);
+  margin-right: 0.5em;
+}
 
-.bp3-icon-new-prescription::before{
-  content:""; }
+/* RJSF ARRAY style */
 
-.bp3-icon-new-text-box::before{
-  content:""; }
+.jp-arrayFieldWrapper legend {
+  font-size: var(--jp-content-font-size2);
+  color: var(--jp-ui-font-color0);
+  flex-basis: 100%;
+  padding: 4px 0;
+  font-weight: var(--jp-content-heading-font-weight);
+  border-bottom: 1px solid var(--jp-border-color2);
+}
 
-.bp3-icon-ninja::before{
-  content:""; }
+.jp-arrayFieldWrapper .field-description {
+  padding: 4px 0;
+  white-space: pre-wrap;
+}
 
-.bp3-icon-not-equal-to::before{
-  content:""; }
+.jp-arrayFieldWrapper .array-item {
+  width: 100%;
+  border: 1px solid var(--jp-border-color2);
+  border-radius: 4px;
+  margin: 4px;
+}
 
-.bp3-icon-notifications::before{
-  content:""; }
+.jp-ArrayOperations {
+  display: flex;
+  margin-left: 8px;
+}
 
-.bp3-icon-notifications-updated::before{
-  content:""; }
+.jp-ArrayOperationsButton {
+  margin: 2px;
+}
 
-.bp3-icon-numbered-list::before{
-  content:""; }
+.jp-ArrayOperationsButton .jp-icon3[fill] {
+  fill: var(--jp-ui-font-color0);
+}
 
-.bp3-icon-numerical::before{
-  content:""; }
+button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
+  cursor: not-allowed;
+  opacity: 0.5;
+}
 
-.bp3-icon-office::before{
-  content:""; }
+/* RJSF form validation error */
 
-.bp3-icon-offline::before{
-  content:""; }
+.jp-FormGroup-content .validationErrors {
+  color: var(--jp-error-color0);
+}
 
-.bp3-icon-oil-field::before{
-  content:""; }
+/* Hide panel level error as duplicated the field level error */
+.jp-FormGroup-content .panel.errors {
+  display: none;
+}
 
-.bp3-icon-one-column::before{
-  content:""; }
+/* RJSF normal content (settings-editor) */
 
-.bp3-icon-outdated::before{
-  content:""; }
+.jp-FormGroup-contentNormal {
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
 
-.bp3-icon-page-layout::before{
-  content:""; }
+.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
+  margin-left: 7px;
+  color: var(--jp-ui-font-color0);
+}
 
-.bp3-icon-panel-stats::before{
-  content:""; }
+.jp-FormGroup-contentNormal .jp-FormGroup-description {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
 
-.bp3-icon-panel-table::before{
-  content:""; }
+.jp-FormGroup-contentNormal .jp-FormGroup-default {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
 
-.bp3-icon-paperclip::before{
-  content:""; }
+.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
+  font-size: var(--jp-content-font-size1);
+  font-weight: normal;
+  min-width: 120px;
+}
 
-.bp3-icon-paragraph::before{
-  content:""; }
+.jp-FormGroup-contentNormal fieldset:not(:first-child) {
+  margin-left: 7px;
+}
 
-.bp3-icon-path::before{
-  content:""; }
+.jp-FormGroup-contentNormal .field-array-of-string .array-item {
+  /* Display `jp-ArrayOperations` buttons side-by-side with content except
+    for small screens where flex-wrap will place them one below the other.
+  */
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
 
-.bp3-icon-path-search::before{
-  content:""; }
+.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
 
-.bp3-icon-pause::before{
-  content:""; }
+/* RJSF compact content (metadata-form) */
 
-.bp3-icon-people::before{
-  content:""; }
+.jp-FormGroup-content.jp-FormGroup-contentCompact {
+  width: 100%;
+}
 
-.bp3-icon-percentage::before{
-  content:""; }
+.jp-FormGroup-contentCompact .form-group {
+  display: flex;
+  padding: 0.5em 0.2em 0.5em 0;
+}
 
-.bp3-icon-person::before{
-  content:""; }
+.jp-FormGroup-contentCompact
+  .jp-FormGroup-compactTitle
+  .jp-FormGroup-description {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color2);
+}
 
-.bp3-icon-phone::before{
-  content:"☎"; }
+.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
+  padding-bottom: 0.3em;
+}
 
-.bp3-icon-pie-chart::before{
-  content:""; }
+.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
+  width: 100%;
+  box-sizing: border-box;
+}
 
-.bp3-icon-pin::before{
-  content:""; }
+.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
+  padding-bottom: 7px;
+}
 
-.bp3-icon-pivot::before{
-  content:""; }
+.jp-FormGroup-contentCompact
+  .jp-objectFieldWrapper
+  .jp-objectFieldWrapper
+  .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
 
-.bp3-icon-pivot-table::before{
-  content:""; }
+.jp-FormGroup-contentCompact ul.error-detail {
+  margin-block-start: 0.5em;
+  margin-block-end: 0.5em;
+  padding-inline-start: 1em;
+}
 
-.bp3-icon-play::before{
-  content:""; }
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
 
-.bp3-icon-plus::before{
-  content:"+"; }
+.jp-SidePanel {
+  display: flex;
+  flex-direction: column;
+  min-width: var(--jp-sidebar-min-width);
+  overflow-y: auto;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+  font-size: var(--jp-ui-font-size1);
+}
 
-.bp3-icon-polygon-filter::before{
-  content:""; }
+.jp-SidePanel-header {
+  flex: 0 0 auto;
+  display: flex;
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin: 0;
+  padding: 2px;
+  text-transform: uppercase;
+}
 
-.bp3-icon-power::before{
-  content:""; }
+.jp-SidePanel-toolbar {
+  flex: 0 0 auto;
+}
 
-.bp3-icon-predictive-analysis::before{
-  content:""; }
+.jp-SidePanel-content {
+  flex: 1 1 auto;
+}
 
-.bp3-icon-prescription::before{
-  content:""; }
+.jp-SidePanel-toolbar,
+.jp-AccordionPanel-toolbar {
+  height: var(--jp-private-toolbar-height);
+}
 
-.bp3-icon-presentation::before{
-  content:""; }
+.jp-SidePanel-toolbar.jp-Toolbar-micro {
+  display: none;
+}
 
-.bp3-icon-print::before{
-  content:"⎙"; }
+.lm-AccordionPanel .jp-AccordionPanel-title {
+  box-sizing: border-box;
+  line-height: 25px;
+  margin: 0;
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  font-size: var(--jp-ui-font-size0);
+}
 
-.bp3-icon-projects::before{
-  content:""; }
+.jp-AccordionPanel-title {
+  cursor: pointer;
+  user-select: none;
+  -moz-user-select: none;
+  -webkit-user-select: none;
+  text-transform: uppercase;
+}
 
-.bp3-icon-properties::before{
-  content:""; }
+.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
 
-.bp3-icon-property::before{
-  content:""; }
+.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
+  user-select: none;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+  overflow: hidden;
+}
 
-.bp3-icon-publish-function::before{
-  content:""; }
+.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
+  transform: rotate(-90deg);
+  margin: auto 0;
+  height: 16px;
+}
 
-.bp3-icon-pulse::before{
-  content:""; }
+.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
+  transform: rotate(0deg);
+}
 
-.bp3-icon-random::before{
-  content:""; }
+.lm-AccordionPanel .jp-AccordionPanel-toolbar {
+  background: none;
+  box-shadow: none;
+  border: none;
+  margin-left: auto;
+}
 
-.bp3-icon-record::before{
-  content:""; }
+.lm-AccordionPanel .lm-SplitPanel-handle:hover {
+  background: var(--jp-layout-color3);
+}
 
-.bp3-icon-redo::before{
-  content:""; }
+.jp-text-truncated {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
 
-.bp3-icon-refresh::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-regression-chart::before{
-  content:""; }
+.jp-Spinner {
+  position: absolute;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  z-index: 10;
+  left: 0;
+  top: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-layout-color0);
+  outline: none;
+}
 
-.bp3-icon-remove::before{
-  content:""; }
+.jp-SpinnerContent {
+  font-size: 10px;
+  margin: 50px auto;
+  text-indent: -9999em;
+  width: 3em;
+  height: 3em;
+  border-radius: 50%;
+  background: var(--jp-brand-color3);
+  background: linear-gradient(
+    to right,
+    #f37626 10%,
+    rgba(255, 255, 255, 0) 42%
+  );
+  position: relative;
+  animation: load3 1s infinite linear, fadeIn 1s;
+}
 
-.bp3-icon-remove-column::before{
-  content:""; }
+.jp-SpinnerContent::before {
+  width: 50%;
+  height: 50%;
+  background: #f37626;
+  border-radius: 100% 0 0;
+  position: absolute;
+  top: 0;
+  left: 0;
+  content: '';
+}
 
-.bp3-icon-remove-column-left::before{
-  content:""; }
+.jp-SpinnerContent::after {
+  background: var(--jp-layout-color0);
+  width: 75%;
+  height: 75%;
+  border-radius: 50%;
+  content: '';
+  margin: auto;
+  position: absolute;
+  top: 0;
+  left: 0;
+  bottom: 0;
+  right: 0;
+}
 
-.bp3-icon-remove-column-right::before{
-  content:""; }
+@keyframes fadeIn {
+  0% {
+    opacity: 0;
+  }
 
-.bp3-icon-remove-row-bottom::before{
-  content:""; }
+  100% {
+    opacity: 1;
+  }
+}
 
-.bp3-icon-remove-row-top::before{
-  content:""; }
+@keyframes load3 {
+  0% {
+    transform: rotate(0deg);
+  }
 
-.bp3-icon-repeat::before{
-  content:""; }
+  100% {
+    transform: rotate(360deg);
+  }
+}
 
-.bp3-icon-reset::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-resolve::before{
-  content:""; }
+button.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: none;
+  box-sizing: border-box;
+  text-align: center;
+  line-height: 32px;
+  height: 32px;
+  padding: 0 12px;
+  letter-spacing: 0.8px;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
 
-.bp3-icon-rig::before{
-  content:""; }
-
-.bp3-icon-right-join::before{
-  content:""; }
-
-.bp3-icon-ring::before{
-  content:""; }
-
-.bp3-icon-rotate-document::before{
-  content:""; }
-
-.bp3-icon-rotate-page::before{
-  content:""; }
-
-.bp3-icon-satellite::before{
-  content:""; }
+input.jp-mod-styled {
+  background: var(--jp-input-background);
+  height: 28px;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+  padding-left: 7px;
+  padding-right: 7px;
+  font-size: var(--jp-ui-font-size2);
+  color: var(--jp-ui-font-color0);
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
 
-.bp3-icon-saved::before{
-  content:""; }
+input[type='checkbox'].jp-mod-styled {
+  appearance: checkbox;
+  -webkit-appearance: checkbox;
+  -moz-appearance: checkbox;
+  height: auto;
+}
 
-.bp3-icon-scatter-plot::before{
-  content:""; }
+input.jp-mod-styled:focus {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
 
-.bp3-icon-search::before{
-  content:""; }
+.jp-select-wrapper {
+  display: flex;
+  position: relative;
+  flex-direction: column;
+  padding: 1px;
+  background-color: var(--jp-layout-color1);
+  box-sizing: border-box;
+  margin-bottom: 12px;
+}
 
-.bp3-icon-search-around::before{
-  content:""; }
+.jp-select-wrapper:not(.multiple) {
+  height: 28px;
+}
 
-.bp3-icon-search-template::before{
-  content:""; }
+.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-input-active-background);
+}
 
-.bp3-icon-search-text::before{
-  content:""; }
+select.jp-mod-styled:hover {
+  cursor: pointer;
+  color: var(--jp-ui-font-color0);
+  background-color: var(--jp-input-hover-background);
+  box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
+}
 
-.bp3-icon-segmented-control::before{
-  content:""; }
+select.jp-mod-styled {
+  flex: 1 1 auto;
+  width: 100%;
+  font-size: var(--jp-ui-font-size2);
+  background: var(--jp-input-background);
+  color: var(--jp-ui-font-color0);
+  padding: 0 25px 0 8px;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
 
-.bp3-icon-select::before{
-  content:""; }
+select.jp-mod-styled:not([multiple]) {
+  height: 32px;
+}
 
-.bp3-icon-selection::before{
-  content:"⦿"; }
+select.jp-mod-styled[multiple] {
+  max-height: 200px;
+  overflow-y: auto;
+}
 
-.bp3-icon-send-to::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-send-to-graph::before{
-  content:""; }
+.jp-switch {
+  display: flex;
+  align-items: center;
+  padding-left: 4px;
+  padding-right: 4px;
+  font-size: var(--jp-ui-font-size1);
+  background-color: transparent;
+  color: var(--jp-ui-font-color1);
+  border: none;
+  height: 20px;
+}
 
-.bp3-icon-send-to-map::before{
-  content:""; }
+.jp-switch:hover {
+  background-color: var(--jp-layout-color2);
+}
 
-.bp3-icon-series-add::before{
-  content:""; }
+.jp-switch-label {
+  margin-right: 5px;
+  font-family: var(--jp-ui-font-family);
+}
 
-.bp3-icon-series-configuration::before{
-  content:""; }
+.jp-switch-track {
+  cursor: pointer;
+  background-color: var(--jp-switch-color, var(--jp-border-color1));
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 34px;
+  height: 16px;
+  width: 35px;
+  position: relative;
+}
 
-.bp3-icon-series-derived::before{
-  content:""; }
+.jp-switch-track::before {
+  content: '';
+  position: absolute;
+  height: 10px;
+  width: 10px;
+  margin: 3px;
+  left: 0;
+  background-color: var(--jp-ui-inverse-font-color1);
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 50%;
+}
 
-.bp3-icon-series-filtered::before{
-  content:""; }
+.jp-switch[aria-checked='true'] .jp-switch-track {
+  background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
+}
 
-.bp3-icon-series-search::before{
-  content:""; }
+.jp-switch[aria-checked='true'] .jp-switch-track::before {
+  /* track width (35) - margins (3 + 3) - thumb width (10) */
+  left: 19px;
+}
 
-.bp3-icon-settings::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-share::before{
-  content:""; }
+:root {
+  --jp-private-toolbar-height: calc(
+    28px + var(--jp-border-width)
+  ); /* leave 28px for content */
+}
 
-.bp3-icon-shield::before{
-  content:""; }
+.jp-Toolbar {
+  color: var(--jp-ui-font-color1);
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: 2px;
+  z-index: 8;
+  overflow-x: hidden;
+}
 
-.bp3-icon-shop::before{
-  content:""; }
+/* Toolbar items */
 
-.bp3-icon-shopping-cart::before{
-  content:""; }
+.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
+  flex-grow: 1;
+  flex-shrink: 1;
+}
 
-.bp3-icon-signal-search::before{
-  content:""; }
+.jp-Toolbar-item.jp-Toolbar-kernelStatus {
+  display: inline-block;
+  width: 32px;
+  background-repeat: no-repeat;
+  background-position: center;
+  background-size: 16px;
+}
 
-.bp3-icon-sim-card::before{
-  content:""; }
+.jp-Toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  display: flex;
+  padding-left: 1px;
+  padding-right: 1px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: var(--jp-private-toolbar-height);
+  height: 100%;
+}
 
-.bp3-icon-slash::before{
-  content:""; }
+/* Toolbar buttons */
 
-.bp3-icon-small-cross::before{
-  content:""; }
+/* This is the div we use to wrap the react component into a Widget */
+div.jp-ToolbarButton {
+  color: transparent;
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0;
+  margin: 0;
+}
 
-.bp3-icon-small-minus::before{
-  content:""; }
+button.jp-ToolbarButtonComponent {
+  background: var(--jp-layout-color1);
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0 6px;
+  margin: 0;
+  height: 24px;
+  border-radius: var(--jp-border-radius);
+  display: flex;
+  align-items: center;
+  text-align: center;
+  font-size: 14px;
+  min-width: unset;
+  min-height: unset;
+}
 
-.bp3-icon-small-plus::before{
-  content:""; }
+button.jp-ToolbarButtonComponent:disabled {
+  opacity: 0.4;
+}
 
-.bp3-icon-small-tick::before{
-  content:""; }
+button.jp-ToolbarButtonComponent > span {
+  padding: 0;
+  flex: 0 0 auto;
+}
 
-.bp3-icon-snowflake::before{
-  content:""; }
+button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
+  font-size: var(--jp-ui-font-size1);
+  line-height: 100%;
+  padding-left: 2px;
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+}
 
-.bp3-icon-social-media::before{
-  content:""; }
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar.jp-Toolbar-micro {
+  padding: 0;
+  min-height: 0;
+}
 
-.bp3-icon-sort::before{
-  content:""; }
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar {
+  border: none;
+  box-shadow: none;
+}
 
-.bp3-icon-sort-alphabetical::before{
-  content:""; }
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
 
-.bp3-icon-sort-alphabetical-desc::before{
-  content:""; }
+.jp-WindowedPanel-outer {
+  position: relative;
+  overflow-y: auto;
+}
 
-.bp3-icon-sort-asc::before{
-  content:""; }
+.jp-WindowedPanel-inner {
+  position: relative;
+}
 
-.bp3-icon-sort-desc::before{
-  content:""; }
+.jp-WindowedPanel-window {
+  position: absolute;
+  left: 0;
+  right: 0;
+  overflow: visible;
+}
 
-.bp3-icon-sort-numerical::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-sort-numerical-desc::before{
-  content:""; }
+/* Sibling imports */
 
-.bp3-icon-split-columns::before{
-  content:""; }
+body {
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+}
 
-.bp3-icon-square::before{
-  content:""; }
+/* Disable native link decoration styles everywhere outside of dialog boxes */
+a {
+  text-decoration: unset;
+  color: unset;
+}
 
-.bp3-icon-stacked-chart::before{
-  content:""; }
+a:hover {
+  text-decoration: unset;
+  color: unset;
+}
 
-.bp3-icon-star::before{
-  content:"★"; }
+/* Accessibility for links inside dialog box text */
+.jp-Dialog-content a {
+  text-decoration: revert;
+  color: var(--jp-content-link-color);
+}
 
-.bp3-icon-star-empty::before{
-  content:"☆"; }
+.jp-Dialog-content a:hover {
+  text-decoration: revert;
+}
 
-.bp3-icon-step-backward::before{
-  content:""; }
+/* Styles for ui-components */
+.jp-Button {
+  color: var(--jp-ui-font-color2);
+  border-radius: var(--jp-border-radius);
+  padding: 0 12px;
+  font-size: var(--jp-ui-font-size1);
 
-.bp3-icon-step-chart::before{
-  content:""; }
-
-.bp3-icon-step-forward::before{
-  content:""; }
-
-.bp3-icon-stop::before{
-  content:""; }
-
-.bp3-icon-stopwatch::before{
-  content:""; }
-
-.bp3-icon-strikethrough::before{
-  content:""; }
-
-.bp3-icon-style::before{
-  content:""; }
-
-.bp3-icon-swap-horizontal::before{
-  content:""; }
-
-.bp3-icon-swap-vertical::before{
-  content:""; }
-
-.bp3-icon-symbol-circle::before{
-  content:""; }
+  /* Copy from blueprint 3 */
+  display: inline-flex;
+  flex-direction: row;
+  border: none;
+  cursor: pointer;
+  align-items: center;
+  justify-content: center;
+  text-align: left;
+  vertical-align: middle;
+  min-height: 30px;
+  min-width: 30px;
+}
 
-.bp3-icon-symbol-cross::before{
-  content:""; }
+.jp-Button:disabled {
+  cursor: not-allowed;
+}
 
-.bp3-icon-symbol-diamond::before{
-  content:""; }
+.jp-Button:empty {
+  padding: 0 !important;
+}
 
-.bp3-icon-symbol-square::before{
-  content:""; }
+.jp-Button.jp-mod-small {
+  min-height: 24px;
+  min-width: 24px;
+  font-size: 12px;
+  padding: 0 7px;
+}
 
-.bp3-icon-symbol-triangle-down::before{
-  content:""; }
+/* Use our own theme for hover styles */
+.jp-Button.jp-mod-minimal:hover {
+  background-color: var(--jp-layout-color2);
+}
 
-.bp3-icon-symbol-triangle-up::before{
-  content:""; }
+.jp-Button.jp-mod-minimal {
+  background: none;
+}
 
-.bp3-icon-tag::before{
-  content:""; }
+.jp-InputGroup {
+  display: block;
+  position: relative;
+}
 
-.bp3-icon-take-action::before{
-  content:""; }
+.jp-InputGroup input {
+  box-sizing: border-box;
+  border: none;
+  border-radius: 0;
+  background-color: transparent;
+  color: var(--jp-ui-font-color0);
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+  padding-bottom: 0;
+  padding-top: 0;
+  padding-left: 10px;
+  padding-right: 28px;
+  position: relative;
+  width: 100%;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  appearance: none;
+  font-size: 14px;
+  font-weight: 400;
+  height: 30px;
+  line-height: 30px;
+  outline: none;
+  vertical-align: middle;
+}
 
-.bp3-icon-taxi::before{
-  content:""; }
+.jp-InputGroup input:focus {
+  box-shadow: inset 0 0 0 var(--jp-border-width)
+      var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
 
-.bp3-icon-text-highlight::before{
-  content:""; }
+.jp-InputGroup input:disabled {
+  cursor: not-allowed;
+  resize: block;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+}
 
-.bp3-icon-th::before{
-  content:""; }
+.jp-InputGroup input:disabled ~ span {
+  cursor: not-allowed;
+  color: var(--jp-ui-font-color2);
+}
 
-.bp3-icon-th-derived::before{
-  content:""; }
+.jp-InputGroup input::placeholder,
+input::placeholder {
+  color: var(--jp-ui-font-color2);
+}
 
-.bp3-icon-th-disconnect::before{
-  content:""; }
+.jp-InputGroupAction {
+  position: absolute;
+  bottom: 1px;
+  right: 0;
+  padding: 6px;
+}
 
-.bp3-icon-th-filtered::before{
-  content:""; }
+.jp-HTMLSelect.jp-DefaultStyle select {
+  background-color: initial;
+  border: none;
+  border-radius: 0;
+  box-shadow: none;
+  color: var(--jp-ui-font-color0);
+  display: block;
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  height: 24px;
+  line-height: 14px;
+  padding: 0 25px 0 10px;
+  text-align: left;
+  -moz-appearance: none;
+  -webkit-appearance: none;
+}
 
-.bp3-icon-th-list::before{
-  content:""; }
+.jp-HTMLSelect.jp-DefaultStyle select:disabled {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+  cursor: not-allowed;
+  resize: block;
+}
 
-.bp3-icon-thumbs-down::before{
-  content:""; }
+.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
+  cursor: not-allowed;
+}
 
-.bp3-icon-thumbs-up::before{
-  content:""; }
+/* Use our own theme for hover and option styles */
+/* stylelint-disable-next-line selector-max-type */
+.jp-HTMLSelect.jp-DefaultStyle select:hover,
+.jp-HTMLSelect.jp-DefaultStyle select > option {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color0);
+}
 
-.bp3-icon-tick::before{
-  content:"✓"; }
+select {
+  box-sizing: border-box;
+}
 
-.bp3-icon-tick-circle::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-time::before{
-  content:"⏲"; }
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-timeline-area-chart::before{
-  content:""; }
+.jp-StatusBar-Widget {
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color2);
+  min-height: var(--jp-statusbar-height);
+  justify-content: space-between;
+  padding: 0 10px;
+}
 
-.bp3-icon-timeline-bar-chart::before{
-  content:""; }
+.jp-StatusBar-Left {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
 
-.bp3-icon-timeline-events::before{
-  content:""; }
+.jp-StatusBar-Middle {
+  display: flex;
+  align-items: center;
+}
 
-.bp3-icon-timeline-line-chart::before{
-  content:""; }
+.jp-StatusBar-Right {
+  display: flex;
+  align-items: center;
+  flex-direction: row-reverse;
+}
 
-.bp3-icon-tint::before{
-  content:""; }
+.jp-StatusBar-Item {
+  max-height: var(--jp-statusbar-height);
+  margin: 0 2px;
+  height: var(--jp-statusbar-height);
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  color: var(--jp-ui-font-color1);
+  padding: 0 6px;
+}
 
-.bp3-icon-torch::before{
-  content:""; }
+.jp-mod-highlighted:hover {
+  background-color: var(--jp-layout-color3);
+}
 
-.bp3-icon-tractor::before{
-  content:""; }
+.jp-mod-clicked {
+  background-color: var(--jp-brand-color1);
+}
 
-.bp3-icon-train::before{
-  content:""; }
+.jp-mod-clicked:hover {
+  background-color: var(--jp-brand-color0);
+}
 
-.bp3-icon-translate::before{
-  content:""; }
+.jp-mod-clicked .jp-StatusBar-TextItem {
+  color: var(--jp-ui-inverse-font-color1);
+}
 
-.bp3-icon-trash::before{
-  content:""; }
+.jp-StatusBar-HoverItem {
+  box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
+}
 
-.bp3-icon-tree::before{
-  content:""; }
+.jp-StatusBar-TextItem {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  line-height: 24px;
+  color: var(--jp-ui-font-color1);
+}
 
-.bp3-icon-trending-down::before{
-  content:""; }
+.jp-StatusBar-GroupItem {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
 
-.bp3-icon-trending-up::before{
-  content:""; }
+.jp-Statusbar-ProgressCircle svg {
+  display: block;
+  margin: 0 auto;
+  width: 16px;
+  height: 24px;
+  align-self: normal;
+}
 
-.bp3-icon-truck::before{
-  content:""; }
+.jp-Statusbar-ProgressCircle path {
+  fill: var(--jp-inverse-layout-color3);
+}
 
-.bp3-icon-two-columns::before{
-  content:""; }
+.jp-Statusbar-ProgressBar-progress-bar {
+  height: 10px;
+  width: 100px;
+  border: solid 0.25px var(--jp-brand-color2);
+  border-radius: 3px;
+  overflow: hidden;
+  align-self: center;
+}
 
-.bp3-icon-unarchive::before{
-  content:""; }
+.jp-Statusbar-ProgressBar-progress-bar > div {
+  background-color: var(--jp-brand-color2);
+  background-image: linear-gradient(
+    -45deg,
+    rgba(255, 255, 255, 0.2) 25%,
+    transparent 25%,
+    transparent 50%,
+    rgba(255, 255, 255, 0.2) 50%,
+    rgba(255, 255, 255, 0.2) 75%,
+    transparent 75%,
+    transparent
+  );
+  background-size: 40px 40px;
+  float: left;
+  width: 0%;
+  height: 100%;
+  font-size: 12px;
+  line-height: 14px;
+  color: #fff;
+  text-align: center;
+  animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
+}
 
-.bp3-icon-underline::before{
-  content:"⎁"; }
+.jp-Statusbar-ProgressBar-progress-bar p {
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+  font-size: var(--jp-ui-font-size1);
+  line-height: 10px;
+  width: 100px;
+}
 
-.bp3-icon-undo::before{
-  content:"⎌"; }
+@keyframes jp-Statusbar-ExecutionTime-progress-bar {
+  0% {
+    background-position: 0 0;
+  }
 
-.bp3-icon-ungroup-objects::before{
-  content:""; }
+  100% {
+    background-position: 40px 40px;
+  }
+}
 
-.bp3-icon-unknown-vehicle::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-unlock::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-unpin::before{
-  content:""; }
+:root {
+  --jp-private-commandpalette-search-height: 28px;
+}
 
-.bp3-icon-unresolve::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Overall styles
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-updated::before{
-  content:""; }
+.lm-CommandPalette {
+  padding-bottom: 0;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
 
-.bp3-icon-upload::before{
-  content:""; }
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+}
 
-.bp3-icon-user::before{
-  content:""; }
+/*-----------------------------------------------------------------------------
+| Modal variant
+|----------------------------------------------------------------------------*/
 
-.bp3-icon-variable::before{
-  content:""; }
+.jp-ModalCommandPalette {
+  position: absolute;
+  z-index: 10000;
+  top: 38px;
+  left: 30%;
+  margin: 0;
+  padding: 4px;
+  width: 40%;
+  box-shadow: var(--jp-elevation-z4);
+  border-radius: 4px;
+  background: var(--jp-layout-color0);
+}
 
-.bp3-icon-vertical-bar-chart-asc::before{
-  content:""; }
+.jp-ModalCommandPalette .lm-CommandPalette {
+  max-height: 40vh;
+}
 
-.bp3-icon-vertical-bar-chart-desc::before{
-  content:""; }
+.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
+  display: none;
+}
 
-.bp3-icon-vertical-distribution::before{
-  content:""; }
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
+  display: none;
+}
 
-.bp3-icon-video::before{
-  content:""; }
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
+  margin-left: 4px;
+  margin-right: 4px;
+}
 
-.bp3-icon-volume-down::before{
-  content:""; }
+.jp-ModalCommandPalette
+  .lm-CommandPalette
+  .lm-CommandPalette-item.lm-mod-disabled {
+  display: none;
+}
 
-.bp3-icon-volume-off::before{
-  content:""; }
-
-.bp3-icon-volume-up::before{
-  content:""; }
-
-.bp3-icon-walk::before{
-  content:""; }
-
-.bp3-icon-warning-sign::before{
-  content:""; }
-
-.bp3-icon-waterfall-chart::before{
-  content:""; }
-
-.bp3-icon-widget::before{
-  content:""; }
-
-.bp3-icon-widget-button::before{
-  content:""; }
-
-.bp3-icon-widget-footer::before{
-  content:""; }
-
-.bp3-icon-widget-header::before{
-  content:""; }
-
-.bp3-icon-wrench::before{
-  content:""; }
-
-.bp3-icon-zoom-in::before{
-  content:""; }
-
-.bp3-icon-zoom-out::before{
-  content:""; }
-
-.bp3-icon-zoom-to-fit::before{
-  content:""; }
-.bp3-submenu > .bp3-popover-wrapper{
-  display:block; }
-
-.bp3-submenu .bp3-popover-target{
-  display:block; }
-  .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-menu-item{ }
-
-.bp3-submenu.bp3-popover{
-  -webkit-box-shadow:none;
-          box-shadow:none;
-  padding:0 5px; }
-  .bp3-submenu.bp3-popover > .bp3-popover-content{
-    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2); }
-  .bp3-dark .bp3-submenu.bp3-popover, .bp3-submenu.bp3-popover.bp3-dark{
-    -webkit-box-shadow:none;
-            box-shadow:none; }
-    .bp3-dark .bp3-submenu.bp3-popover > .bp3-popover-content, .bp3-submenu.bp3-popover.bp3-dark > .bp3-popover-content{
-      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);
-              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4); }
-.bp3-menu{
-  background:#ffffff;
-  border-radius:3px;
-  color:#182026;
-  list-style:none;
-  margin:0;
-  min-width:180px;
-  padding:5px;
-  text-align:left; }
-
-.bp3-menu-divider{
-  border-top:1px solid rgba(16, 22, 26, 0.15);
-  display:block;
-  margin:5px; }
-  .bp3-dark .bp3-menu-divider{
-    border-top-color:rgba(255, 255, 255, 0.15); }
-
-.bp3-menu-item{
-  display:-webkit-box;
-  display:-ms-flexbox;
-  display:flex;
-  -webkit-box-orient:horizontal;
-  -webkit-box-direction:normal;
-      -ms-flex-direction:row;
-          flex-direction:row;
-  -webkit-box-align:start;
-      -ms-flex-align:start;
-          align-items:flex-start;
-  border-radius:2px;
-  color:inherit;
-  line-height:20px;
-  padding:5px 7px;
-  text-decoration:none;
-  -webkit-user-select:none;
-     -moz-user-select:none;
-      -ms-user-select:none;
-          user-select:none; }
-  .bp3-menu-item > *{
-    -webkit-box-flex:0;
-        -ms-flex-positive:0;
-            flex-grow:0;
-    -ms-flex-negative:0;
-        flex-shrink:0; }
-  .bp3-menu-item > .bp3-fill{
-    -webkit-box-flex:1;
-        -ms-flex-positive:1;
-            flex-grow:1;
-    -ms-flex-negative:1;
-        flex-shrink:1; }
-  .bp3-menu-item::before,
-  .bp3-menu-item > *{
-    margin-right:7px; }
-  .bp3-menu-item:empty::before,
-  .bp3-menu-item > :last-child{
-    margin-right:0; }
-  .bp3-menu-item > .bp3-fill{
-    word-break:break-word; }
-  .bp3-menu-item:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-menu-item{
-    background-color:rgba(167, 182, 194, 0.3);
-    cursor:pointer;
-    text-decoration:none; }
-  .bp3-menu-item.bp3-disabled{
-    background-color:inherit;
-    color:rgba(92, 112, 128, 0.6);
-    cursor:not-allowed; }
-  .bp3-dark .bp3-menu-item{
-    color:inherit; }
-    .bp3-dark .bp3-menu-item:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-menu-item{
-      background-color:rgba(138, 155, 168, 0.15);
-      color:inherit; }
-    .bp3-dark .bp3-menu-item.bp3-disabled{
-      background-color:inherit;
-      color:rgba(167, 182, 194, 0.6); }
-  .bp3-menu-item.bp3-intent-primary{
-    color:#106ba3; }
-    .bp3-menu-item.bp3-intent-primary .bp3-icon{
-      color:inherit; }
-    .bp3-menu-item.bp3-intent-primary::before, .bp3-menu-item.bp3-intent-primary::after,
-    .bp3-menu-item.bp3-intent-primary .bp3-menu-item-label{
-      color:#106ba3; }
-    .bp3-menu-item.bp3-intent-primary:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-menu-item.bp3-intent-primary.bp3-active{
-      background-color:#137cbd; }
-    .bp3-menu-item.bp3-intent-primary:active{
-      background-color:#106ba3; }
-    .bp3-menu-item.bp3-intent-primary:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-menu-item.bp3-intent-primary:hover::before, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::before, .bp3-menu-item.bp3-intent-primary:hover::after, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::after,
-    .bp3-menu-item.bp3-intent-primary:hover .bp3-menu-item-label,
-    .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item .bp3-menu-item-label, .bp3-menu-item.bp3-intent-primary:active, .bp3-menu-item.bp3-intent-primary:active::before, .bp3-menu-item.bp3-intent-primary:active::after,
-    .bp3-menu-item.bp3-intent-primary:active .bp3-menu-item-label, .bp3-menu-item.bp3-intent-primary.bp3-active, .bp3-menu-item.bp3-intent-primary.bp3-active::before, .bp3-menu-item.bp3-intent-primary.bp3-active::after,
-    .bp3-menu-item.bp3-intent-primary.bp3-active .bp3-menu-item-label{
-      color:#ffffff; }
-  .bp3-menu-item.bp3-intent-success{
-    color:#0d8050; }
-    .bp3-menu-item.bp3-intent-success .bp3-icon{
-      color:inherit; }
-    .bp3-menu-item.bp3-intent-success::before, .bp3-menu-item.bp3-intent-success::after,
-    .bp3-menu-item.bp3-intent-success .bp3-menu-item-label{
-      color:#0d8050; }
-    .bp3-menu-item.bp3-intent-success:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-menu-item.bp3-intent-success.bp3-active{
-      background-color:#0f9960; }
-    .bp3-menu-item.bp3-intent-success:active{
-      background-color:#0d8050; }
-    .bp3-menu-item.bp3-intent-success:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-menu-item.bp3-intent-success:hover::before, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::before, .bp3-menu-item.bp3-intent-success:hover::after, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::after,
-    .bp3-menu-item.bp3-intent-success:hover .bp3-menu-item-label,
-    .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item .bp3-menu-item-label, .bp3-menu-item.bp3-intent-success:active, .bp3-menu-item.bp3-intent-success:active::before, .bp3-menu-item.bp3-intent-success:active::after,
-    .bp3-menu-item.bp3-intent-success:active .bp3-menu-item-label, .bp3-menu-item.bp3-intent-success.bp3-active, .bp3-menu-item.bp3-intent-success.bp3-active::before, .bp3-menu-item.bp3-intent-success.bp3-active::after,
-    .bp3-menu-item.bp3-intent-success.bp3-active .bp3-menu-item-label{
-      color:#ffffff; }
-  .bp3-menu-item.bp3-intent-warning{
-    color:#bf7326; }
-    .bp3-menu-item.bp3-intent-warning .bp3-icon{
-      color:inherit; }
-    .bp3-menu-item.bp3-intent-warning::before, .bp3-menu-item.bp3-intent-warning::after,
-    .bp3-menu-item.bp3-intent-warning .bp3-menu-item-label{
-      color:#bf7326; }
-    .bp3-menu-item.bp3-intent-warning:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-menu-item.bp3-intent-warning.bp3-active{
-      background-color:#d9822b; }
-    .bp3-menu-item.bp3-intent-warning:active{
-      background-color:#bf7326; }
-    .bp3-menu-item.bp3-intent-warning:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-menu-item.bp3-intent-warning:hover::before, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::before, .bp3-menu-item.bp3-intent-warning:hover::after, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::after,
-    .bp3-menu-item.bp3-intent-warning:hover .bp3-menu-item-label,
-    .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item .bp3-menu-item-label, .bp3-menu-item.bp3-intent-warning:active, .bp3-menu-item.bp3-intent-warning:active::before, .bp3-menu-item.bp3-intent-warning:active::after,
-    .bp3-menu-item.bp3-intent-warning:active .bp3-menu-item-label, .bp3-menu-item.bp3-intent-warning.bp3-active, .bp3-menu-item.bp3-intent-warning.bp3-active::before, .bp3-menu-item.bp3-intent-warning.bp3-active::after,
-    .bp3-menu-item.bp3-intent-warning.bp3-active .bp3-menu-item-label{
-      color:#ffffff; }
-  .bp3-menu-item.bp3-intent-danger{
-    color:#c23030; }
-    .bp3-menu-item.bp3-intent-danger .bp3-icon{
-      color:inherit; }
-    .bp3-menu-item.bp3-intent-danger::before, .bp3-menu-item.bp3-intent-danger::after,
-    .bp3-menu-item.bp3-intent-danger .bp3-menu-item-label{
-      color:#c23030; }
-    .bp3-menu-item.bp3-intent-danger:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-menu-item.bp3-intent-danger.bp3-active{
-      background-color:#db3737; }
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-  .bp3-popover-enter-active > .bp3-tooltip, .bp3-popover-appear-active > .bp3-tooltip{
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-            transform:scale(1);
-    -webkit-transition-delay:0;
-            transition-delay:0;
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-            transition-duration:100ms;
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-            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
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-            transform:scale(1); }
-  .bp3-popover-exit-active > .bp3-tooltip{
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-            transform:scale(0.8);
-    -webkit-transition-delay:0;
-            transition-delay:0;
-    -webkit-transition-duration:100ms;
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-            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
-  .bp3-tooltip .bp3-popover-content{
-    padding:10px 12px; }
-  .bp3-tooltip.bp3-dark,
-  .bp3-dark .bp3-tooltip{
-    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);
-            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4); }
-    .bp3-tooltip.bp3-dark .bp3-popover-content,
-    .bp3-dark .bp3-tooltip .bp3-popover-content{
-      background:#e1e8ed;
-      color:#394b59; }
-    .bp3-tooltip.bp3-dark .bp3-popover-arrow::before,
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-              box-shadow:1px 1px 6px rgba(16, 22, 26, 0.4); }
-    .bp3-tooltip.bp3-dark .bp3-popover-arrow-border,
-    .bp3-dark .bp3-tooltip .bp3-popover-arrow-border{
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-      fill-opacity:0.2; }
-    .bp3-tooltip.bp3-dark .bp3-popover-arrow-fill,
-    .bp3-dark .bp3-tooltip .bp3-popover-arrow-fill{
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-  .bp3-tooltip.bp3-intent-success .bp3-popover-arrow-fill{
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-.bp3-tooltip-indicator{
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-.bp3-tree .bp3-icon, .bp3-tree .bp3-icon-standard, .bp3-tree .bp3-icon-large{
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-  .bp3-tree .bp3-icon.bp3-intent-success, .bp3-tree .bp3-icon-standard.bp3-intent-success, .bp3-tree .bp3-icon-large.bp3-intent-success{
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-
-.bp3-tree-node-list{
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-  margin:0;
-  padding-left:0; }
-
-.bp3-tree-root{
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-  padding-left:0;
-  position:relative; }
-
-.bp3-tree-node-content-0{
-  padding-left:0px; }
-
-.bp3-tree-node-content-1{
-  padding-left:23px; }
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-.bp3-tree-node-content-2{
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-  padding-left:115px; }
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-.bp3-tree-node-content-16{
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-.bp3-tree-node-content-18{
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-.bp3-tree-node-content-19{
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-.bp3-tree-node-content-20{
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-.bp3-tree-node-content{
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-  height:30px;
-  padding-right:5px;
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-
-.bp3-tree-node-caret,
-.bp3-tree-node-caret-none{
-  min-width:30px; }
-
-.bp3-tree-node-caret{
-  color:#5c7080;
-  cursor:pointer;
-  padding:7px;
-  -webkit-transform:rotate(0deg);
-          transform:rotate(0deg);
-  -webkit-transition:-webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
-  transition:-webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9);
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-  transition:transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9); }
-  .bp3-tree-node-caret:hover{
-    color:#182026; }
-  .bp3-dark .bp3-tree-node-caret{
-    color:#a7b6c2; }
-    .bp3-dark .bp3-tree-node-caret:hover{
-      color:#f5f8fa; }
-  .bp3-tree-node-caret.bp3-tree-node-caret-open{
-    -webkit-transform:rotate(90deg);
-            transform:rotate(90deg); }
-  .bp3-tree-node-caret.bp3-icon-standard::before{
-    content:""; }
-
-.bp3-tree-node-icon{
-  margin-right:7px;
-  position:relative; }
-
-.bp3-tree-node-label{
-  overflow:hidden;
-  text-overflow:ellipsis;
-  white-space:nowrap;
-  word-wrap:normal;
-  -webkit-box-flex:1;
-      -ms-flex:1 1 auto;
-          flex:1 1 auto;
-  position:relative;
-  -webkit-user-select:none;
-     -moz-user-select:none;
-      -ms-user-select:none;
-          user-select:none; }
-  .bp3-tree-node-label span{
-    display:inline; }
-
-.bp3-tree-node-secondary-label{
-  padding:0 5px;
-  -webkit-user-select:none;
-     -moz-user-select:none;
-      -ms-user-select:none;
-          user-select:none; }
-  .bp3-tree-node-secondary-label .bp3-popover-wrapper,
-  .bp3-tree-node-secondary-label .bp3-popover-target{
-    -webkit-box-align:center;
-        -ms-flex-align:center;
-            align-items:center;
-    display:-webkit-box;
-    display:-ms-flexbox;
-    display:flex; }
-
-.bp3-tree-node.bp3-disabled .bp3-tree-node-content{
-  background-color:inherit;
-  color:rgba(92, 112, 128, 0.6);
-  cursor:not-allowed; }
-
-.bp3-tree-node.bp3-disabled .bp3-tree-node-caret,
-.bp3-tree-node.bp3-disabled .bp3-tree-node-icon{
-  color:rgba(92, 112, 128, 0.6);
-  cursor:not-allowed; }
-
-.bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content{
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-  .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content,
-  .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content .bp3-icon, .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content .bp3-icon-standard, .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content .bp3-icon-large{
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-  .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content .bp3-tree-node-caret::before{
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-  .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content .bp3-tree-node-caret:hover::before{
-    color:#ffffff; }
-
-.bp3-dark .bp3-tree-node-content:hover{
-  background-color:rgba(92, 112, 128, 0.3); }
-
-.bp3-dark .bp3-tree .bp3-icon, .bp3-dark .bp3-tree .bp3-icon-standard, .bp3-dark .bp3-tree .bp3-icon-large{
-  color:#a7b6c2; }
-  .bp3-dark .bp3-tree .bp3-icon.bp3-intent-primary, .bp3-dark .bp3-tree .bp3-icon-standard.bp3-intent-primary, .bp3-dark .bp3-tree .bp3-icon-large.bp3-intent-primary{
-    color:#137cbd; }
-  .bp3-dark .bp3-tree .bp3-icon.bp3-intent-success, .bp3-dark .bp3-tree .bp3-icon-standard.bp3-intent-success, .bp3-dark .bp3-tree .bp3-icon-large.bp3-intent-success{
-    color:#0f9960; }
-  .bp3-dark .bp3-tree .bp3-icon.bp3-intent-warning, .bp3-dark .bp3-tree .bp3-icon-standard.bp3-intent-warning, .bp3-dark .bp3-tree .bp3-icon-large.bp3-intent-warning{
-    color:#d9822b; }
-  .bp3-dark .bp3-tree .bp3-icon.bp3-intent-danger, .bp3-dark .bp3-tree .bp3-icon-standard.bp3-intent-danger, .bp3-dark .bp3-tree .bp3-icon-large.bp3-intent-danger{
-    color:#db3737; }
-
-.bp3-dark .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content{
-  background-color:#137cbd; }
-.bp3-omnibar{
-  -webkit-filter:blur(0);
-          filter:blur(0);
-  opacity:1;
-  background-color:#ffffff;
-  border-radius:3px;
-  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);
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-  left:calc(50% - 250px);
-  top:20vh;
-  width:500px;
-  z-index:21; }
-  .bp3-omnibar.bp3-overlay-enter, .bp3-omnibar.bp3-overlay-appear{
-    -webkit-filter:blur(20px);
-            filter:blur(20px);
-    opacity:0.2; }
-  .bp3-omnibar.bp3-overlay-enter-active, .bp3-omnibar.bp3-overlay-appear-active{
-    -webkit-filter:blur(0);
-            filter:blur(0);
-    opacity:1;
-    -webkit-transition-delay:0;
-            transition-delay:0;
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-  .bp3-omnibar.bp3-overlay-exit{
-    -webkit-filter:blur(0);
-            filter:blur(0);
-    opacity:1; }
-  .bp3-omnibar.bp3-overlay-exit-active{
-    -webkit-filter:blur(20px);
-            filter:blur(20px);
-    opacity:0.2;
-    -webkit-transition-delay:0;
-            transition-delay:0;
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-            transition-duration:200ms;
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-    transition-property:opacity, -webkit-filter;
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-    transition-property:filter, opacity, -webkit-filter;
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-            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }
-  .bp3-omnibar .bp3-input{
-    background-color:transparent;
-    border-radius:0; }
-    .bp3-omnibar .bp3-input, .bp3-omnibar .bp3-input:focus{
-      -webkit-box-shadow:none;
-              box-shadow:none; }
-  .bp3-omnibar .bp3-menu{
-    background-color:transparent;
-    border-radius:0;
-    -webkit-box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.15);
-            box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.15);
-    max-height:calc(60vh - 40px);
-    overflow:auto; }
-    .bp3-omnibar .bp3-menu:empty{
-      display:none; }
-  .bp3-dark .bp3-omnibar, .bp3-omnibar.bp3-dark{
-    background-color:#30404d;
-    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);
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-
-.bp3-omnibar-overlay .bp3-overlay-backdrop{
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-
-.bp3-select-popover .bp3-popover-content{
-  padding:5px; }
-
-.bp3-select-popover .bp3-input-group{
-  margin-bottom:0; }
-
-.bp3-select-popover .bp3-menu{
-  max-height:300px;
-  max-width:400px;
-  overflow:auto;
-  padding:0; }
-  .bp3-select-popover .bp3-menu:not(:first-child){
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-
-.bp3-multi-select{
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-
-.bp3-multi-select-popover .bp3-menu{
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-  max-width:400px;
-  overflow:auto; }
-
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-
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-  overflow:auto;
-  padding:0; }
-  .bp3-select-popover .bp3-menu:not(:first-child){
-    padding-top:5px; }
 /*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
+| Search
 |----------------------------------------------------------------------------*/
 
-/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
-
-/**
- * (DEPRECATED) Support for consuming icons as CSS background images
- */
+.lm-CommandPalette-search {
+  padding: 4px;
+  background-color: var(--jp-layout-color1);
+  z-index: 2;
+}
 
-/* Icons urls */
-
-:root {
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-  --jp-icon-add-below: url(data:image/svg+xml;base64,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);
-  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
-  --jp-icon-bell: url(data:image/svg+xml;base64,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);
-  --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
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-  --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
-  --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
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-  --jp-icon-react: url(data:image/svg+xml;base64,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);
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-  --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
-  --jp-icon-regex: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KICA8ZyBjbGFzcz0ianAtaWNvbjIiIGZpbGw9IiM0MTQxNDEiPgogICAgPHJlY3QgeD0iMiIgeT0iMiIgd2lkdGg9IjE2IiBoZWlnaHQ9IjE2Ii8+CiAgPC9nPgoKICA8ZyBjbGFzcz0ianAtaWNvbi1hY2NlbnQyIiBmaWxsPSIjRkZGIj4KICAgIDxjaXJjbGUgY2xhc3M9InN0MiIgY3g9IjUuNSIgY3k9IjE0LjUiIHI9IjEuNSIvPgogICAgPHJlY3QgeD0iMTIiIHk9IjQiIGNsYXNzPSJzdDIiIHdpZHRoPSIxIiBoZWlnaHQ9IjgiLz4KICAgIDxyZWN0IHg9IjguNSIgeT0iNy41IiB0cmFuc2Zvcm09Im1hdHJpeCgwLjg2NiAtMC41IDAuNSAwLjg2NiAtMi4zMjU1IDcuMzIxOSkiIGNsYXNzPSJzdDIiIHdpZHRoPSI4IiBoZWlnaHQ9IjEiLz4KICAgIDxyZWN0IHg9IjEyIiB5PSI0IiB0cmFuc2Zvcm09Im1hdHJpeCgwLjUgLTAuODY2IDAuODY2IDAuNSAtMC42Nzc5IDE0LjgyNTIpIiBjbGFzcz0ic3QyIiB3aWR0aD0iMSIgaGVpZ2h0PSI4Ii8+CiAgPC9nPgo8L3N2Zz4K);
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-  --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4=);
-  --jp-icon-trusted: url(data:image/svg+xml;base64,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);
-  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
-  --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+);
-  --jp-icon-users: url(data:image/svg+xml;base64,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);
-  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
-  --jp-icon-yaml: url(data:image/svg+xml;base64,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);
+.lm-CommandPalette-wrapper {
+  overflow: overlay;
+  padding: 0 9px;
+  background-color: var(--jp-input-active-background);
+  height: 30px;
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
 }
 
-/* Icon CSS class declarations */
+.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
+  box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
 
-.jp-AddAboveIcon {
-  background-image: var(--jp-icon-add-above);
+.jp-SearchIconGroup {
+  color: white;
+  background-color: var(--jp-brand-color1);
+  position: absolute;
+  top: 4px;
+  right: 4px;
+  padding: 5px 5px 1px;
 }
-.jp-AddBelowIcon {
-  background-image: var(--jp-icon-add-below);
+
+.jp-SearchIconGroup svg {
+  height: 20px;
+  width: 20px;
 }
-.jp-AddIcon {
-  background-image: var(--jp-icon-add);
+
+.jp-SearchIconGroup .jp-icon3[fill] {
+  fill: var(--jp-layout-color0);
 }
-.jp-BellIcon {
-  background-image: var(--jp-icon-bell);
+
+.lm-CommandPalette-input {
+  background: transparent;
+  width: calc(100% - 18px);
+  float: left;
+  border: none;
+  outline: none;
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  line-height: var(--jp-private-commandpalette-search-height);
 }
-.jp-BugDotIcon {
-  background-image: var(--jp-icon-bug-dot);
+
+.lm-CommandPalette-input::-webkit-input-placeholder,
+.lm-CommandPalette-input::-moz-placeholder,
+.lm-CommandPalette-input:-ms-input-placeholder {
+  color: var(--jp-ui-font-color2);
+  font-size: var(--jp-ui-font-size1);
 }
-.jp-BugIcon {
-  background-image: var(--jp-icon-bug);
+
+/*-----------------------------------------------------------------------------
+| Results
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-header:first-child {
+  margin-top: 0;
 }
-.jp-BuildIcon {
-  background-image: var(--jp-icon-build);
+
+.lm-CommandPalette-header {
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin-top: 8px;
+  padding: 8px 0 8px 12px;
+  text-transform: uppercase;
 }
-.jp-CaretDownEmptyIcon {
-  background-image: var(--jp-icon-caret-down-empty);
+
+.lm-CommandPalette-header.lm-mod-active {
+  background: var(--jp-layout-color2);
 }
-.jp-CaretDownEmptyThinIcon {
-  background-image: var(--jp-icon-caret-down-empty-thin);
+
+.lm-CommandPalette-header > mark {
+  background-color: transparent;
+  font-weight: bold;
+  color: var(--jp-ui-font-color1);
 }
-.jp-CaretDownIcon {
-  background-image: var(--jp-icon-caret-down);
+
+.lm-CommandPalette-item {
+  padding: 4px 12px 4px 4px;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  font-weight: 400;
+  display: flex;
 }
-.jp-CaretLeftIcon {
-  background-image: var(--jp-icon-caret-left);
+
+.lm-CommandPalette-item.lm-mod-disabled {
+  color: var(--jp-ui-font-color2);
 }
-.jp-CaretRightIcon {
-  background-image: var(--jp-icon-caret-right);
+
+.lm-CommandPalette-item.lm-mod-active {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
 }
-.jp-CaretUpEmptyThinIcon {
-  background-image: var(--jp-icon-caret-up-empty-thin);
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-inverse-font-color0);
 }
-.jp-CaretUpIcon {
-  background-image: var(--jp-icon-caret-up);
+
+.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
+  fill: var(--jp-layout-color0);
 }
-.jp-CaseSensitiveIcon {
-  background-image: var(--jp-icon-case-sensitive);
+
+.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
 }
-.jp-CheckIcon {
-  background-image: var(--jp-icon-check);
+
+.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
+  background: var(--jp-layout-color2);
 }
-.jp-CircleEmptyIcon {
-  background-image: var(--jp-icon-circle-empty);
+
+.lm-CommandPalette-itemContent {
+  overflow: hidden;
 }
-.jp-CircleIcon {
-  background-image: var(--jp-icon-circle);
+
+.lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
 }
-.jp-ClearIcon {
-  background-image: var(--jp-icon-clear);
+
+.lm-CommandPalette-item.lm-mod-disabled mark {
+  color: var(--jp-ui-font-color2);
 }
-.jp-CloseIcon {
-  background-image: var(--jp-icon-close);
+
+.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
+  margin: 0 4px 0 0;
+  position: relative;
+  width: 16px;
+  top: 2px;
+  flex: 0 0 auto;
 }
-.jp-CodeIcon {
-  background-image: var(--jp-icon-code);
+
+.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
+  opacity: 0.6;
 }
-.jp-ConsoleIcon {
-  background-image: var(--jp-icon-console);
+
+.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
 }
-.jp-CopyIcon {
-  background-image: var(--jp-icon-copy);
+
+.lm-CommandPalette-itemCaption {
+  display: none;
 }
-.jp-CopyrightIcon {
-  background-image: var(--jp-icon-copyright);
-}
-.jp-CutIcon {
-  background-image: var(--jp-icon-cut);
-}
-.jp-DeleteIcon {
-  background-image: var(--jp-icon-delete);
-}
-.jp-DownloadIcon {
-  background-image: var(--jp-icon-download);
-}
-.jp-DuplicateIcon {
-  background-image: var(--jp-icon-duplicate);
-}
-.jp-EditIcon {
-  background-image: var(--jp-icon-edit);
-}
-.jp-EllipsesIcon {
-  background-image: var(--jp-icon-ellipses);
+
+.lm-CommandPalette-content {
+  background-color: var(--jp-layout-color1);
 }
-.jp-ExtensionIcon {
-  background-image: var(--jp-icon-extension);
+
+.lm-CommandPalette-content:empty::after {
+  content: 'No results';
+  margin: auto;
+  margin-top: 20px;
+  width: 100px;
+  display: block;
+  font-size: var(--jp-ui-font-size2);
+  font-family: var(--jp-ui-font-family);
+  font-weight: lighter;
 }
-.jp-FastForwardIcon {
-  background-image: var(--jp-icon-fast-forward);
+
+.lm-CommandPalette-emptyMessage {
+  text-align: center;
+  margin-top: 24px;
+  line-height: 1.32;
+  padding: 0 8px;
+  color: var(--jp-content-font-color3);
 }
-.jp-FileIcon {
-  background-image: var(--jp-icon-file);
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Dialog {
+  position: absolute;
+  z-index: 10000;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  top: 0;
+  left: 0;
+  margin: 0;
+  padding: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-dialog-background);
 }
-.jp-FileUploadIcon {
-  background-image: var(--jp-icon-file-upload);
+
+.jp-Dialog-content {
+  display: flex;
+  flex-direction: column;
+  margin-left: auto;
+  margin-right: auto;
+  background: var(--jp-layout-color1);
+  padding: 24px 24px 12px;
+  min-width: 300px;
+  min-height: 150px;
+  max-width: 1000px;
+  max-height: 500px;
+  box-sizing: border-box;
+  box-shadow: var(--jp-elevation-z20);
+  word-wrap: break-word;
+  border-radius: var(--jp-border-radius);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color1);
+  resize: both;
 }
-.jp-FilterListIcon {
-  background-image: var(--jp-icon-filter-list);
+
+.jp-Dialog-content.jp-Dialog-content-small {
+  max-width: 500px;
 }
-.jp-FolderFavoriteIcon {
-  background-image: var(--jp-icon-folder-favorite);
+
+.jp-Dialog-button {
+  overflow: visible;
 }
-.jp-FolderIcon {
-  background-image: var(--jp-icon-folder);
+
+button.jp-Dialog-button:focus {
+  outline: 1px solid var(--jp-brand-color1);
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
 }
-.jp-HomeIcon {
-  background-image: var(--jp-icon-home);
+
+button.jp-Dialog-button:focus::-moz-focus-inner {
+  border: 0;
 }
-.jp-Html5Icon {
-  background-image: var(--jp-icon-html5);
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
 }
-.jp-ImageIcon {
-  background-image: var(--jp-icon-image);
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
+  outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
 }
-.jp-InspectorIcon {
-  background-image: var(--jp-icon-inspector);
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
+  outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
 }
-.jp-JsonIcon {
-  background-image: var(--jp-icon-json);
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
 }
-.jp-JuliaIcon {
-  background-image: var(--jp-icon-julia);
+
+button.jp-Dialog-close-button {
+  padding: 0;
+  height: 100%;
+  min-width: unset;
+  min-height: unset;
 }
-.jp-JupyterFaviconIcon {
-  background-image: var(--jp-icon-jupyter-favicon);
+
+.jp-Dialog-header {
+  display: flex;
+  justify-content: space-between;
+  flex: 0 0 auto;
+  padding-bottom: 12px;
+  font-size: var(--jp-ui-font-size3);
+  font-weight: 400;
+  color: var(--jp-ui-font-color1);
 }
-.jp-JupyterIcon {
-  background-image: var(--jp-icon-jupyter);
+
+.jp-Dialog-body {
+  display: flex;
+  flex-direction: column;
+  flex: 1 1 auto;
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+  overflow: auto;
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+  justify-content: flex-end;
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+  flex: 0 0 auto;
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+  overflow: hidden;
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+  text-overflow: ellipsis;
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-.jp-MarkdownIcon {
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+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Input-Boolean-Dialog {
+  flex-direction: row-reverse;
+  align-items: end;
+  width: 100%;
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+
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+  flex: 1 1 auto;
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-.jp-MoveUpIcon {
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+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
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-.jp-YamlIcon {
-  background-image: var(--jp-icon-yaml);
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-
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
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-|----------------------------------------------------------------------------*/
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- */
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-  background-size: cover;
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+  width: auto;
+  padding: 10px;
+  background: var(--jp-error-color3);
+  border: var(--jp-border-width) solid var(--jp-error-color1);
+  border-radius: var(--jp-border-radius);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  white-space: pre-wrap;
+  word-wrap: break-word;
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-/**
- * (DEPRECATED) Support for specific CSS icon sizes
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
  */
 
-.jp-Icon-16 {
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-  min-width: 16px;
-  min-height: 16px;
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-
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
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-
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
-
 /**
- * Support for icons as inline SVG HTMLElements
+ * google-material-color v1.2.6
+ * https://github.com/danlevan/google-material-color
  */
-
-/* recolor the primary elements of an icon */
-.jp-icon0[fill] {
-  fill: var(--jp-inverse-layout-color0);
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-.jp-icon2[fill] {
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-.jp-icon4[fill] {
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-.jp-icon3[stroke] {
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-.jp-icon4[stroke] {
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-/* recolor the accent elements of an icon */
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-.jp-icon-accent1[fill] {
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-.jp-icon-accent2[fill] {
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-.jp-icon-accent4[fill] {
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-.jp-icon-accent0[stroke] {
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-.jp-icon-accent1[stroke] {
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-.jp-icon-accent2[stroke] {
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-.jp-icon-none[stroke] {
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-.jp-icon-warn2[fill] {
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-.jp-icon-warn3[fill] {
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-.jp-icon-warn0[stroke] {
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-.jp-icon-warn1[stroke] {
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-}
-.jp-icon-warn2[stroke] {
-  stroke: var(--jp-warn-color2);
-}
-.jp-icon-warn3[stroke] {
-  stroke: var(--jp-warn-color3);
-}
-/* icon colors that contrast well with each other and most backgrounds */
-.jp-icon-contrast0[fill] {
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-.jp-icon-contrast1[fill] {
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-.jp-icon-contrast2[fill] {
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-.jp-icon-contrast3[fill] {
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-.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
-  fill: var(--jp-brand-color1);
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-
-/* CSS for icons in selected tabs in the sidebar tab manager */
-#tab-manager .lm-TabBar-tab.jp-mod-active .jp-icon-selectable[fill] {
-  fill: #fff;
-}
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-#tab-manager .lm-TabBar-tab.jp-mod-active .jp-icon-selectable-inverse[fill] {
-  fill: var(--jp-brand-color1);
-}
-#tab-manager
-  .lm-TabBar-tab.jp-mod-active
-  .jp-icon-hover
-  :hover
-  .jp-icon-selectable[fill] {
-  fill: var(--jp-brand-color1);
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-
-#tab-manager
-  .lm-TabBar-tab.jp-mod-active
-  .jp-icon-hover
-  :hover
-  .jp-icon-selectable-inverse[fill] {
-  fill: #fff;
-}
-
-/**
- * TODO: come up with non css-hack solution for showing the busy icon on top
- *  of the close icon
- * CSS for complex behavior of close icon of tabs in the sidebar tab manager
- */
-#tab-manager
-  .lm-TabBar-tab.jp-mod-dirty
-  > .lm-TabBar-tabCloseIcon
-  > :not(:hover)
-  > .jp-icon3[fill] {
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-#tab-manager
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-}
-
-#tab-manager
-  .lm-TabBar-tab.jp-mod-dirty.jp-mod-active
-  > .lm-TabBar-tabCloseIcon
-  > :not(:hover)
-  > .jp-icon-busy[fill] {
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-
-/**
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-*  of the close icon
-* CSS for complex behavior of close icon of tabs in the main area tabbar
-*/
-.lm-DockPanel-tabBar
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-  fill: none;
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-.lm-DockPanel-tabBar
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-/* CSS for icons in status bar */
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-/* special handling for splash icon CSS. While the theme CSS reloads during
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-.jp-DragIcon {
-  margin-right: 4px;
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-
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
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-/**
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-.jp-icon-alt .jp-icon4[stroke] {
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-.jp-icon-alt .jp-icon-accent1[fill] {
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-.jp-icon-alt .jp-icon-accent2[fill] {
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-.jp-icon-alt .jp-icon-accent3[fill] {
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-.jp-icon-alt .jp-icon-accent1[stroke] {
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-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
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-.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
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-.jp-icon-hover :hover .jp-icon4-hover[stroke] {
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-| Copyright (c) Jupyter Development Team.
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-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
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-/*-----------------------------------------------------------------------------
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-/*-----------------------------------------------------------------------------
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-|
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-|----------------------------------------------------------------------------*/
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-button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
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-/*-----------------------------------------------------------------------------
-| Copyright (c) 2014-2016, Jupyter Development Team.
-|
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-|----------------------------------------------------------------------------*/
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-
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
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-.jp-IFrame {
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-  height: 100%;
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-
-/*
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-Because iframes steal all cursor events, the following two rules are necessary
-to suppress pointer events while resize drags are occurring. There may be a
-better solution to this problem.
-*/
-body.lm-mod-override-cursor .jp-IFrame {
-  position: relative;
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-  flex: 1 1 auto;
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-/*-----------------------------------------------------------------------------
-| Copyright (c) 2014-2016, Jupyter Development Team.
-|
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
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-  border-radius: var(--jp-border-radius);
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- * google-material-color v1.2.6
- * https://github.com/danlevan/google-material-color
- */
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-  --md-red-600: #e53935;
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-  --md-pink-100: #f8bbd0;
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-  --md-pink-400: #ec407a;
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-  --md-orange-A700: #ff6d00;
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-  --md-deep-orange-A400: #ff3d00;
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-  --md-brown-50: #efebe9;
-  --md-brown-100: #d7ccc8;
-  --md-brown-200: #bcaaa4;
-  --md-brown-300: #a1887f;
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-  --md-brown-700: #5d4037;
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-  --md-brown-900: #3e2723;
-
-  --md-grey-50: #fafafa;
-  --md-grey-100: #f5f5f5;
-  --md-grey-200: #eeeeee;
-  --md-grey-300: #e0e0e0;
-  --md-grey-400: #bdbdbd;
-  --md-grey-500: #9e9e9e;
-  --md-grey-600: #757575;
-  --md-grey-700: #616161;
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-  --md-blue-grey-50: #eceff1;
-  --md-blue-grey-100: #cfd8dc;
-  --md-blue-grey-200: #b0bec5;
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-  --md-blue-grey-600: #546e7a;
-  --md-blue-grey-700: #455a64;
-  --md-blue-grey-800: #37474f;
-  --md-blue-grey-900: #263238;
-}
-
-/*-----------------------------------------------------------------------------
-| Copyright (c) 2017, Jupyter Development Team.
-|
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
-
-.jp-Spinner {
-  position: absolute;
-  display: flex;
-  justify-content: center;
-  align-items: center;
-  z-index: 10;
-  left: 0;
-  top: 0;
-  width: 100%;
-  height: 100%;
-  background: var(--jp-layout-color0);
-  outline: none;
-}
-
-.jp-SpinnerContent {
-  font-size: 10px;
-  margin: 50px auto;
-  text-indent: -9999em;
-  width: 3em;
-  height: 3em;
-  border-radius: 50%;
-  background: var(--jp-brand-color3);
-  background: linear-gradient(
-    to right,
-    #f37626 10%,
-    rgba(255, 255, 255, 0) 42%
-  );
-  position: relative;
-  animation: load3 1s infinite linear, fadeIn 1s;
-}
-
-.jp-SpinnerContent:before {
-  width: 50%;
-  height: 50%;
-  background: #f37626;
-  border-radius: 100% 0 0 0;
-  position: absolute;
-  top: 0;
-  left: 0;
-  content: '';
-}
-
-.jp-SpinnerContent:after {
-  background: var(--jp-layout-color0);
-  width: 75%;
-  height: 75%;
-  border-radius: 50%;
-  content: '';
-  margin: auto;
-  position: absolute;
-  top: 0;
-  left: 0;
-  bottom: 0;
-  right: 0;
-}
-
-@keyframes fadeIn {
-  0% {
-    opacity: 0;
-  }
-  100% {
-    opacity: 1;
-  }
-}
-
-@keyframes load3 {
-  0% {
-    transform: rotate(0deg);
-  }
-  100% {
-    transform: rotate(360deg);
-  }
-}
-
-/*-----------------------------------------------------------------------------
-| Copyright (c) 2014-2017, Jupyter Development Team.
-|
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
-
-button.jp-mod-styled {
-  font-size: var(--jp-ui-font-size1);
-  color: var(--jp-ui-font-color0);
-  border: none;
-  box-sizing: border-box;
-  text-align: center;
-  line-height: 32px;
-  height: 32px;
-  padding: 0px 12px;
-  letter-spacing: 0.8px;
-  outline: none;
-  appearance: none;
-  -webkit-appearance: none;
-  -moz-appearance: none;
-}
-
-input.jp-mod-styled {
-  background: var(--jp-input-background);
-  height: 28px;
-  box-sizing: border-box;
-  border: var(--jp-border-width) solid var(--jp-border-color1);
-  padding-left: 7px;
-  padding-right: 7px;
-  font-size: var(--jp-ui-font-size2);
-  color: var(--jp-ui-font-color0);
-  outline: none;
-  appearance: none;
-  -webkit-appearance: none;
-  -moz-appearance: none;
-}
-
-input[type='checkbox'].jp-mod-styled {
-  appearance: checkbox;
-  -webkit-appearance: checkbox;
-  -moz-appearance: checkbox;
-  height: auto;
-}
-
-input.jp-mod-styled:focus {
-  border: var(--jp-border-width) solid var(--md-blue-500);
-  box-shadow: inset 0 0 4px var(--md-blue-300);
-}
-
-.jp-FileDialog-Checkbox {
-  margin-top: 35px;
-  display: flex;
-  flex-direction: row;
-  align-items: end;
-  width: 100%;
-}
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-.jp-FileDialog-Checkbox > label {
-  flex: 1 1 auto;
-}
-
-.jp-select-wrapper {
-  display: flex;
-  position: relative;
-  flex-direction: column;
-  padding: 1px;
-  background-color: var(--jp-layout-color1);
-  height: 28px;
-  box-sizing: border-box;
-  margin-bottom: 12px;
-}
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-.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
-  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
-  box-shadow: var(--jp-input-box-shadow);
-  background-color: var(--jp-input-active-background);
-}
-
-select.jp-mod-styled:hover {
-  background-color: var(--jp-layout-color1);
-  cursor: pointer;
-  color: var(--jp-ui-font-color0);
-  background-color: var(--jp-input-hover-background);
-  box-shadow: inset 0 0px 1px rgba(0, 0, 0, 0.5);
-}
-
-select.jp-mod-styled {
-  flex: 1 1 auto;
-  height: 32px;
-  width: 100%;
-  font-size: var(--jp-ui-font-size2);
-  background: var(--jp-input-background);
-  color: var(--jp-ui-font-color0);
-  padding: 0 25px 0 8px;
-  border: var(--jp-border-width) solid var(--jp-input-border-color);
-  border-radius: 0px;
-  outline: none;
-  appearance: none;
-  -webkit-appearance: none;
-  -moz-appearance: none;
-}
-
-/*-----------------------------------------------------------------------------
-| Copyright (c) 2014-2016, Jupyter Development Team.
-|
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
-
-:root {
-  --jp-private-toolbar-height: calc(
-    28px + var(--jp-border-width)
-  ); /* leave 28px for content */
-}
-
-.jp-Toolbar {
-  color: var(--jp-ui-font-color1);
-  flex: 0 0 auto;
-  display: flex;
-  flex-direction: row;
-  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
-  box-shadow: var(--jp-toolbar-box-shadow);
-  background: var(--jp-toolbar-background);
-  min-height: var(--jp-toolbar-micro-height);
-  padding: 2px;
-  z-index: 8;
-  overflow-x: hidden;
-}
-
-/* Toolbar items */
-
-.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
-  flex-grow: 1;
-  flex-shrink: 1;
-}
-
-.jp-Toolbar-item.jp-Toolbar-kernelStatus {
-  display: inline-block;
-  width: 32px;
-  background-repeat: no-repeat;
-  background-position: center;
-  background-size: 16px;
-}
-
-.jp-Toolbar > .jp-Toolbar-item {
-  flex: 0 0 auto;
-  display: flex;
-  padding-left: 1px;
-  padding-right: 1px;
-  font-size: var(--jp-ui-font-size1);
-  line-height: var(--jp-private-toolbar-height);
-  height: 100%;
-}
-
-/* Toolbar buttons */
-
-/* This is the div we use to wrap the react component into a Widget */
-div.jp-ToolbarButton {
-  color: transparent;
-  border: none;
-  box-sizing: border-box;
-  outline: none;
-  appearance: none;
-  -webkit-appearance: none;
-  -moz-appearance: none;
-  padding: 0px;
-  margin: 0px;
-}
-
-button.jp-ToolbarButtonComponent {
-  background: var(--jp-layout-color1);
-  border: none;
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-  margin: 0px;
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-}
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-  opacity: 0.4;
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-button.jp-ToolbarButtonComponent span {
-  padding: 0px;
-  flex: 0 0 auto;
-}
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-button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
-  font-size: var(--jp-ui-font-size1);
-  line-height: 100%;
-  padding-left: 2px;
-  color: var(--jp-ui-font-color1);
-}
-
-#jp-main-dock-panel[data-mode='single-document']
-  .jp-MainAreaWidget
-  > .jp-Toolbar.jp-Toolbar-micro {
-  padding: 0;
-  min-height: 0;
-}
-
-#jp-main-dock-panel[data-mode='single-document']
-  .jp-MainAreaWidget
-  > .jp-Toolbar {
-  border: none;
-  box-shadow: none;
+  --md-red-50: #ffebee;
+  --md-red-100: #ffcdd2;
+  --md-red-200: #ef9a9a;
+  --md-red-300: #e57373;
+  --md-red-400: #ef5350;
+  --md-red-500: #f44336;
+  --md-red-600: #e53935;
+  --md-red-700: #d32f2f;
+  --md-red-800: #c62828;
+  --md-red-900: #b71c1c;
+  --md-red-A100: #ff8a80;
+  --md-red-A200: #ff5252;
+  --md-red-A400: #ff1744;
+  --md-red-A700: #d50000;
+  --md-pink-50: #fce4ec;
+  --md-pink-100: #f8bbd0;
+  --md-pink-200: #f48fb1;
+  --md-pink-300: #f06292;
+  --md-pink-400: #ec407a;
+  --md-pink-500: #e91e63;
+  --md-pink-600: #d81b60;
+  --md-pink-700: #c2185b;
+  --md-pink-800: #ad1457;
+  --md-pink-900: #880e4f;
+  --md-pink-A100: #ff80ab;
+  --md-pink-A200: #ff4081;
+  --md-pink-A400: #f50057;
+  --md-pink-A700: #c51162;
+  --md-purple-50: #f3e5f5;
+  --md-purple-100: #e1bee7;
+  --md-purple-200: #ce93d8;
+  --md-purple-300: #ba68c8;
+  --md-purple-400: #ab47bc;
+  --md-purple-500: #9c27b0;
+  --md-purple-600: #8e24aa;
+  --md-purple-700: #7b1fa2;
+  --md-purple-800: #6a1b9a;
+  --md-purple-900: #4a148c;
+  --md-purple-A100: #ea80fc;
+  --md-purple-A200: #e040fb;
+  --md-purple-A400: #d500f9;
+  --md-purple-A700: #a0f;
+  --md-deep-purple-50: #ede7f6;
+  --md-deep-purple-100: #d1c4e9;
+  --md-deep-purple-200: #b39ddb;
+  --md-deep-purple-300: #9575cd;
+  --md-deep-purple-400: #7e57c2;
+  --md-deep-purple-500: #673ab7;
+  --md-deep-purple-600: #5e35b1;
+  --md-deep-purple-700: #512da8;
+  --md-deep-purple-800: #4527a0;
+  --md-deep-purple-900: #311b92;
+  --md-deep-purple-A100: #b388ff;
+  --md-deep-purple-A200: #7c4dff;
+  --md-deep-purple-A400: #651fff;
+  --md-deep-purple-A700: #6200ea;
+  --md-indigo-50: #e8eaf6;
+  --md-indigo-100: #c5cae9;
+  --md-indigo-200: #9fa8da;
+  --md-indigo-300: #7986cb;
+  --md-indigo-400: #5c6bc0;
+  --md-indigo-500: #3f51b5;
+  --md-indigo-600: #3949ab;
+  --md-indigo-700: #303f9f;
+  --md-indigo-800: #283593;
+  --md-indigo-900: #1a237e;
+  --md-indigo-A100: #8c9eff;
+  --md-indigo-A200: #536dfe;
+  --md-indigo-A400: #3d5afe;
+  --md-indigo-A700: #304ffe;
+  --md-blue-50: #e3f2fd;
+  --md-blue-100: #bbdefb;
+  --md-blue-200: #90caf9;
+  --md-blue-300: #64b5f6;
+  --md-blue-400: #42a5f5;
+  --md-blue-500: #2196f3;
+  --md-blue-600: #1e88e5;
+  --md-blue-700: #1976d2;
+  --md-blue-800: #1565c0;
+  --md-blue-900: #0d47a1;
+  --md-blue-A100: #82b1ff;
+  --md-blue-A200: #448aff;
+  --md-blue-A400: #2979ff;
+  --md-blue-A700: #2962ff;
+  --md-light-blue-50: #e1f5fe;
+  --md-light-blue-100: #b3e5fc;
+  --md-light-blue-200: #81d4fa;
+  --md-light-blue-300: #4fc3f7;
+  --md-light-blue-400: #29b6f6;
+  --md-light-blue-500: #03a9f4;
+  --md-light-blue-600: #039be5;
+  --md-light-blue-700: #0288d1;
+  --md-light-blue-800: #0277bd;
+  --md-light-blue-900: #01579b;
+  --md-light-blue-A100: #80d8ff;
+  --md-light-blue-A200: #40c4ff;
+  --md-light-blue-A400: #00b0ff;
+  --md-light-blue-A700: #0091ea;
+  --md-cyan-50: #e0f7fa;
+  --md-cyan-100: #b2ebf2;
+  --md-cyan-200: #80deea;
+  --md-cyan-300: #4dd0e1;
+  --md-cyan-400: #26c6da;
+  --md-cyan-500: #00bcd4;
+  --md-cyan-600: #00acc1;
+  --md-cyan-700: #0097a7;
+  --md-cyan-800: #00838f;
+  --md-cyan-900: #006064;
+  --md-cyan-A100: #84ffff;
+  --md-cyan-A200: #18ffff;
+  --md-cyan-A400: #00e5ff;
+  --md-cyan-A700: #00b8d4;
+  --md-teal-50: #e0f2f1;
+  --md-teal-100: #b2dfdb;
+  --md-teal-200: #80cbc4;
+  --md-teal-300: #4db6ac;
+  --md-teal-400: #26a69a;
+  --md-teal-500: #009688;
+  --md-teal-600: #00897b;
+  --md-teal-700: #00796b;
+  --md-teal-800: #00695c;
+  --md-teal-900: #004d40;
+  --md-teal-A100: #a7ffeb;
+  --md-teal-A200: #64ffda;
+  --md-teal-A400: #1de9b6;
+  --md-teal-A700: #00bfa5;
+  --md-green-50: #e8f5e9;
+  --md-green-100: #c8e6c9;
+  --md-green-200: #a5d6a7;
+  --md-green-300: #81c784;
+  --md-green-400: #66bb6a;
+  --md-green-500: #4caf50;
+  --md-green-600: #43a047;
+  --md-green-700: #388e3c;
+  --md-green-800: #2e7d32;
+  --md-green-900: #1b5e20;
+  --md-green-A100: #b9f6ca;
+  --md-green-A200: #69f0ae;
+  --md-green-A400: #00e676;
+  --md-green-A700: #00c853;
+  --md-light-green-50: #f1f8e9;
+  --md-light-green-100: #dcedc8;
+  --md-light-green-200: #c5e1a5;
+  --md-light-green-300: #aed581;
+  --md-light-green-400: #9ccc65;
+  --md-light-green-500: #8bc34a;
+  --md-light-green-600: #7cb342;
+  --md-light-green-700: #689f38;
+  --md-light-green-800: #558b2f;
+  --md-light-green-900: #33691e;
+  --md-light-green-A100: #ccff90;
+  --md-light-green-A200: #b2ff59;
+  --md-light-green-A400: #76ff03;
+  --md-light-green-A700: #64dd17;
+  --md-lime-50: #f9fbe7;
+  --md-lime-100: #f0f4c3;
+  --md-lime-200: #e6ee9c;
+  --md-lime-300: #dce775;
+  --md-lime-400: #d4e157;
+  --md-lime-500: #cddc39;
+  --md-lime-600: #c0ca33;
+  --md-lime-700: #afb42b;
+  --md-lime-800: #9e9d24;
+  --md-lime-900: #827717;
+  --md-lime-A100: #f4ff81;
+  --md-lime-A200: #eeff41;
+  --md-lime-A400: #c6ff00;
+  --md-lime-A700: #aeea00;
+  --md-yellow-50: #fffde7;
+  --md-yellow-100: #fff9c4;
+  --md-yellow-200: #fff59d;
+  --md-yellow-300: #fff176;
+  --md-yellow-400: #ffee58;
+  --md-yellow-500: #ffeb3b;
+  --md-yellow-600: #fdd835;
+  --md-yellow-700: #fbc02d;
+  --md-yellow-800: #f9a825;
+  --md-yellow-900: #f57f17;
+  --md-yellow-A100: #ffff8d;
+  --md-yellow-A200: #ff0;
+  --md-yellow-A400: #ffea00;
+  --md-yellow-A700: #ffd600;
+  --md-amber-50: #fff8e1;
+  --md-amber-100: #ffecb3;
+  --md-amber-200: #ffe082;
+  --md-amber-300: #ffd54f;
+  --md-amber-400: #ffca28;
+  --md-amber-500: #ffc107;
+  --md-amber-600: #ffb300;
+  --md-amber-700: #ffa000;
+  --md-amber-800: #ff8f00;
+  --md-amber-900: #ff6f00;
+  --md-amber-A100: #ffe57f;
+  --md-amber-A200: #ffd740;
+  --md-amber-A400: #ffc400;
+  --md-amber-A700: #ffab00;
+  --md-orange-50: #fff3e0;
+  --md-orange-100: #ffe0b2;
+  --md-orange-200: #ffcc80;
+  --md-orange-300: #ffb74d;
+  --md-orange-400: #ffa726;
+  --md-orange-500: #ff9800;
+  --md-orange-600: #fb8c00;
+  --md-orange-700: #f57c00;
+  --md-orange-800: #ef6c00;
+  --md-orange-900: #e65100;
+  --md-orange-A100: #ffd180;
+  --md-orange-A200: #ffab40;
+  --md-orange-A400: #ff9100;
+  --md-orange-A700: #ff6d00;
+  --md-deep-orange-50: #fbe9e7;
+  --md-deep-orange-100: #ffccbc;
+  --md-deep-orange-200: #ffab91;
+  --md-deep-orange-300: #ff8a65;
+  --md-deep-orange-400: #ff7043;
+  --md-deep-orange-500: #ff5722;
+  --md-deep-orange-600: #f4511e;
+  --md-deep-orange-700: #e64a19;
+  --md-deep-orange-800: #d84315;
+  --md-deep-orange-900: #bf360c;
+  --md-deep-orange-A100: #ff9e80;
+  --md-deep-orange-A200: #ff6e40;
+  --md-deep-orange-A400: #ff3d00;
+  --md-deep-orange-A700: #dd2c00;
+  --md-brown-50: #efebe9;
+  --md-brown-100: #d7ccc8;
+  --md-brown-200: #bcaaa4;
+  --md-brown-300: #a1887f;
+  --md-brown-400: #8d6e63;
+  --md-brown-500: #795548;
+  --md-brown-600: #6d4c41;
+  --md-brown-700: #5d4037;
+  --md-brown-800: #4e342e;
+  --md-brown-900: #3e2723;
+  --md-grey-50: #fafafa;
+  --md-grey-100: #f5f5f5;
+  --md-grey-200: #eee;
+  --md-grey-300: #e0e0e0;
+  --md-grey-400: #bdbdbd;
+  --md-grey-500: #9e9e9e;
+  --md-grey-600: #757575;
+  --md-grey-700: #616161;
+  --md-grey-800: #424242;
+  --md-grey-900: #212121;
+  --md-blue-grey-50: #eceff1;
+  --md-blue-grey-100: #cfd8dc;
+  --md-blue-grey-200: #b0bec5;
+  --md-blue-grey-300: #90a4ae;
+  --md-blue-grey-400: #78909c;
+  --md-blue-grey-500: #607d8b;
+  --md-blue-grey-600: #546e7a;
+  --md-blue-grey-700: #455a64;
+  --md-blue-grey-800: #37474f;
+  --md-blue-grey-900: #263238;
 }
 
 /*-----------------------------------------------------------------------------
@@ -11731,1416 +3818,1183 @@
 
 /*-----------------------------------------------------------------------------
 | Copyright (c) Jupyter Development Team.
-| Copyright (c) 2014-2017, PhosphorJS Contributors
-|
-| Distributed under the terms of the BSD 3-Clause License.
-|
-| The full license is in the file LICENSE, distributed with this software.
+| Distributed under the terms of the Modified BSD License.
 |----------------------------------------------------------------------------*/
 
-/* <DEPRECATED> */
-body.p-mod-override-cursor *, /* </DEPRECATED> */
-body.lm-mod-override-cursor * {
-  cursor: inherit !important;
-}
-
 /*-----------------------------------------------------------------------------
-| Copyright (c) 2014-2016, Jupyter Development Team.
-|
-| Distributed under the terms of the Modified BSD License.
+| RenderedText
 |----------------------------------------------------------------------------*/
 
-.jp-JSONEditor {
-  display: flex;
-  flex-direction: column;
-  width: 100%;
-}
-
-.jp-JSONEditor-host {
-  flex: 1 1 auto;
-  border: var(--jp-border-width) solid var(--jp-input-border-color);
-  border-radius: 0px;
-  background: var(--jp-layout-color0);
-  min-height: 50px;
-  padding: 1px;
-}
-
-.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
-  border-color: red;
-  outline-color: red;
+:root {
+  /* This is the padding value to fill the gaps between lines containing spans with background color. */
+  --jp-private-code-span-padding: calc(
+    (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
+  );
 }
 
-.jp-JSONEditor-header {
-  display: flex;
-  flex: 1 0 auto;
-  padding: 0 0 0 12px;
+.jp-RenderedText {
+  text-align: left;
+  padding-left: var(--jp-code-padding);
+  line-height: var(--jp-code-line-height);
+  font-family: var(--jp-code-font-family);
 }
 
-.jp-JSONEditor-header label {
-  flex: 0 0 auto;
+.jp-RenderedText pre,
+.jp-RenderedJavaScript pre,
+.jp-RenderedHTMLCommon pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+  border: none;
+  margin: 0;
+  padding: 0;
 }
 
-.jp-JSONEditor-commitButton {
-  height: 16px;
-  width: 16px;
-  background-size: 18px;
-  background-repeat: no-repeat;
-  background-position: center;
+.jp-RenderedText pre a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
 }
 
-.jp-JSONEditor-host.jp-mod-focused {
-  background-color: var(--jp-input-active-background);
-  border: 1px solid var(--jp-input-active-border-color);
-  box-shadow: var(--jp-input-box-shadow);
+.jp-RenderedText pre a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
 }
 
-.jp-Editor.jp-mod-dropTarget {
-  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
-  box-shadow: var(--jp-input-box-shadow);
+.jp-RenderedText pre a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
 }
 
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
-
-/*-----------------------------------------------------------------------------
-| Variables
-|----------------------------------------------------------------------------*/
-
-/*-----------------------------------------------------------------------------
-
-/*-----------------------------------------------------------------------------
-| Styles
-|----------------------------------------------------------------------------*/
-
-.jp-Statusbar-ProgressCircle svg {
-  display: block;
-  margin: 0 auto;
-  width: 16px;
-  height: 24px;
-  align-self: normal;
-}
-.jp-Statusbar-ProgressCircle path {
-  fill: var(--jp-inverse-layout-color3);
+/* console foregrounds and backgrounds */
+.jp-RenderedText pre .ansi-black-fg {
+  color: #3e424d;
 }
 
-.jp-Statusbar-ProgressBar-progress-bar {
-  height: 10px;
-  width: 100px;
-  border: solid 0.25px var(--jp-brand-color2);
-  border-radius: 3px;
-  overflow: hidden;
-  align-self: center;
-}
-.jp-Statusbar-ProgressBar-progress-bar > div {
-  background-color: var(--jp-brand-color2);
-  background-image: linear-gradient(
-    -45deg,
-    rgba(255, 255, 255, 0.2) 25%,
-    transparent 25%,
-    transparent 50%,
-    rgba(255, 255, 255, 0.2) 50%,
-    rgba(255, 255, 255, 0.2) 75%,
-    transparent 75%,
-    transparent
-  );
-  background-size: 40px 40px;
-  float: left;
-  width: 0%;
-  height: 100%;
-  font-size: 12px;
-  line-height: 14px;
-  color: #ffffff;
-  text-align: center;
-  animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
+.jp-RenderedText pre .ansi-red-fg {
+  color: #e75c58;
 }
 
-.jp-Statusbar-ProgressBar-progress-bar p {
-  color: var(--jp-ui-font-color1);
-  font-family: var(--jp-ui-font-family);
-  font-size: var(--jp-ui-font-size1);
-  line-height: 10px;
-  width: 100px;
+.jp-RenderedText pre .ansi-green-fg {
+  color: #00a250;
 }
 
-@keyframes jp-Statusbar-ExecutionTime-progress-bar {
-  0% {
-    background-position: 0 0;
-  }
-  100% {
-    background-position: 40px 40px;
-  }
+.jp-RenderedText pre .ansi-yellow-fg {
+  color: #ddb62b;
 }
 
-/* BASICS */
-
-.CodeMirror {
-  /* Set height, width, borders, and global font properties here */
-  font-family: monospace;
-  height: 300px;
-  color: black;
-  direction: ltr;
+.jp-RenderedText pre .ansi-blue-fg {
+  color: #208ffb;
 }
 
-/* PADDING */
-
-.CodeMirror-lines {
-  padding: 4px 0; /* Vertical padding around content */
-}
-.CodeMirror pre.CodeMirror-line,
-.CodeMirror pre.CodeMirror-line-like {
-  padding: 0 4px; /* Horizontal padding of content */
+.jp-RenderedText pre .ansi-magenta-fg {
+  color: #d160c4;
 }
 
-.CodeMirror-scrollbar-filler, .CodeMirror-gutter-filler {
-  background-color: white; /* The little square between H and V scrollbars */
+.jp-RenderedText pre .ansi-cyan-fg {
+  color: #60c6c8;
 }
 
-/* GUTTER */
-
-.CodeMirror-gutters {
-  border-right: 1px solid #ddd;
-  background-color: #f7f7f7;
-  white-space: nowrap;
-}
-.CodeMirror-linenumbers {}
-.CodeMirror-linenumber {
-  padding: 0 3px 0 5px;
-  min-width: 20px;
-  text-align: right;
-  color: #999;
-  white-space: nowrap;
+.jp-RenderedText pre .ansi-white-fg {
+  color: #c5c1b4;
 }
 
-.CodeMirror-guttermarker { color: black; }
-.CodeMirror-guttermarker-subtle { color: #999; }
-
-/* CURSOR */
-
-.CodeMirror-cursor {
-  border-left: 1px solid black;
-  border-right: none;
-  width: 0;
-}
-/* Shown when moving in bi-directional text */
-.CodeMirror div.CodeMirror-secondarycursor {
-  border-left: 1px solid silver;
-}
-.cm-fat-cursor .CodeMirror-cursor {
-  width: auto;
-  border: 0 !important;
-  background: #7e7;
-}
-.cm-fat-cursor div.CodeMirror-cursors {
-  z-index: 1;
-}
-.cm-fat-cursor-mark {
-  background-color: rgba(20, 255, 20, 0.5);
-  -webkit-animation: blink 1.06s steps(1) infinite;
-  -moz-animation: blink 1.06s steps(1) infinite;
-  animation: blink 1.06s steps(1) infinite;
-}
-.cm-animate-fat-cursor {
-  width: auto;
-  border: 0;
-  -webkit-animation: blink 1.06s steps(1) infinite;
-  -moz-animation: blink 1.06s steps(1) infinite;
-  animation: blink 1.06s steps(1) infinite;
-  background-color: #7e7;
-}
-@-moz-keyframes blink {
-  0% {}
-  50% { background-color: transparent; }
-  100% {}
-}
-@-webkit-keyframes blink {
-  0% {}
-  50% { background-color: transparent; }
-  100% {}
-}
-@keyframes blink {
-  0% {}
-  50% { background-color: transparent; }
-  100% {}
+.jp-RenderedText pre .ansi-black-bg {
+  background-color: #3e424d;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 
-/* Can style cursor different in overwrite (non-insert) mode */
-.CodeMirror-overwrite .CodeMirror-cursor {}
-
-.cm-tab { display: inline-block; text-decoration: inherit; }
-
-.CodeMirror-rulers {
-  position: absolute;
-  left: 0; right: 0; top: -50px; bottom: 0;
-  overflow: hidden;
-}
-.CodeMirror-ruler {
-  border-left: 1px solid #ccc;
-  top: 0; bottom: 0;
-  position: absolute;
+.jp-RenderedText pre .ansi-red-bg {
+  background-color: #e75c58;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 
-/* DEFAULT THEME */
-
-.cm-s-default .cm-header {color: blue;}
-.cm-s-default .cm-quote {color: #090;}
-.cm-negative {color: #d44;}
-.cm-positive {color: #292;}
-.cm-header, .cm-strong {font-weight: bold;}
-.cm-em {font-style: italic;}
-.cm-link {text-decoration: underline;}
-.cm-strikethrough {text-decoration: line-through;}
-
-.cm-s-default .cm-keyword {color: #708;}
-.cm-s-default .cm-atom {color: #219;}
-.cm-s-default .cm-number {color: #164;}
-.cm-s-default .cm-def {color: #00f;}
-.cm-s-default .cm-variable,
-.cm-s-default .cm-punctuation,
-.cm-s-default .cm-property,
-.cm-s-default .cm-operator {}
-.cm-s-default .cm-variable-2 {color: #05a;}
-.cm-s-default .cm-variable-3, .cm-s-default .cm-type {color: #085;}
-.cm-s-default .cm-comment {color: #a50;}
-.cm-s-default .cm-string {color: #a11;}
-.cm-s-default .cm-string-2 {color: #f50;}
-.cm-s-default .cm-meta {color: #555;}
-.cm-s-default .cm-qualifier {color: #555;}
-.cm-s-default .cm-builtin {color: #30a;}
-.cm-s-default .cm-bracket {color: #997;}
-.cm-s-default .cm-tag {color: #170;}
-.cm-s-default .cm-attribute {color: #00c;}
-.cm-s-default .cm-hr {color: #999;}
-.cm-s-default .cm-link {color: #00c;}
-
-.cm-s-default .cm-error {color: #f00;}
-.cm-invalidchar {color: #f00;}
-
-.CodeMirror-composing { border-bottom: 2px solid; }
-
-/* Default styles for common addons */
-
-div.CodeMirror span.CodeMirror-matchingbracket {color: #0b0;}
-div.CodeMirror span.CodeMirror-nonmatchingbracket {color: #a22;}
-.CodeMirror-matchingtag { background: rgba(255, 150, 0, .3); }
-.CodeMirror-activeline-background {background: #e8f2ff;}
-
-/* STOP */
-
-/* The rest of this file contains styles related to the mechanics of
-   the editor. You probably shouldn't touch them. */
-
-.CodeMirror {
-  position: relative;
-  overflow: hidden;
-  background: white;
+.jp-RenderedText pre .ansi-green-bg {
+  background-color: #00a250;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 
-.CodeMirror-scroll {
-  overflow: scroll !important; /* Things will break if this is overridden */
-  /* 50px is the magic margin used to hide the element's real scrollbars */
-  /* See overflow: hidden in .CodeMirror */
-  margin-bottom: -50px; margin-right: -50px;
-  padding-bottom: 50px;
-  height: 100%;
-  outline: none; /* Prevent dragging from highlighting the element */
-  position: relative;
+.jp-RenderedText pre .ansi-yellow-bg {
+  background-color: #ddb62b;
+  padding: var(--jp-private-code-span-padding) 0;
 }
-.CodeMirror-sizer {
-  position: relative;
-  border-right: 50px solid transparent;
+
+.jp-RenderedText pre .ansi-blue-bg {
+  background-color: #208ffb;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 
-/* The fake, visible scrollbars. Used to force redraw during scrolling
-   before actual scrolling happens, thus preventing shaking and
-   flickering artifacts. */
-.CodeMirror-vscrollbar, .CodeMirror-hscrollbar, .CodeMirror-scrollbar-filler, .CodeMirror-gutter-filler {
-  position: absolute;
-  z-index: 6;
-  display: none;
-  outline: none;
+.jp-RenderedText pre .ansi-magenta-bg {
+  background-color: #d160c4;
+  padding: var(--jp-private-code-span-padding) 0;
 }
-.CodeMirror-vscrollbar {
-  right: 0; top: 0;
-  overflow-x: hidden;
-  overflow-y: scroll;
+
+.jp-RenderedText pre .ansi-cyan-bg {
+  background-color: #60c6c8;
+  padding: var(--jp-private-code-span-padding) 0;
 }
-.CodeMirror-hscrollbar {
-  bottom: 0; left: 0;
-  overflow-y: hidden;
-  overflow-x: scroll;
+
+.jp-RenderedText pre .ansi-white-bg {
+  background-color: #c5c1b4;
+  padding: var(--jp-private-code-span-padding) 0;
 }
-.CodeMirror-scrollbar-filler {
-  right: 0; bottom: 0;
+
+.jp-RenderedText pre .ansi-black-intense-fg {
+  color: #282c36;
 }
-.CodeMirror-gutter-filler {
-  left: 0; bottom: 0;
+
+.jp-RenderedText pre .ansi-red-intense-fg {
+  color: #b22b31;
 }
 
-.CodeMirror-gutters {
-  position: absolute; left: 0; top: 0;
-  min-height: 100%;
-  z-index: 3;
+.jp-RenderedText pre .ansi-green-intense-fg {
+  color: #007427;
 }
-.CodeMirror-gutter {
-  white-space: normal;
-  height: 100%;
-  display: inline-block;
-  vertical-align: top;
-  margin-bottom: -50px;
+
+.jp-RenderedText pre .ansi-yellow-intense-fg {
+  color: #b27d12;
 }
-.CodeMirror-gutter-wrapper {
-  position: absolute;
-  z-index: 4;
-  background: none !important;
-  border: none !important;
+
+.jp-RenderedText pre .ansi-blue-intense-fg {
+  color: #0065ca;
 }
-.CodeMirror-gutter-background {
-  position: absolute;
-  top: 0; bottom: 0;
-  z-index: 4;
+
+.jp-RenderedText pre .ansi-magenta-intense-fg {
+  color: #a03196;
 }
-.CodeMirror-gutter-elt {
-  position: absolute;
-  cursor: default;
-  z-index: 4;
+
+.jp-RenderedText pre .ansi-cyan-intense-fg {
+  color: #258f8f;
 }
-.CodeMirror-gutter-wrapper ::selection { background-color: transparent }
-.CodeMirror-gutter-wrapper ::-moz-selection { background-color: transparent }
 
-.CodeMirror-lines {
-  cursor: text;
-  min-height: 1px; /* prevents collapsing before first draw */
+.jp-RenderedText pre .ansi-white-intense-fg {
+  color: #a1a6b2;
 }
-.CodeMirror pre.CodeMirror-line,
-.CodeMirror pre.CodeMirror-line-like {
-  /* Reset some styles that the rest of the page might have set */
-  -moz-border-radius: 0; -webkit-border-radius: 0; border-radius: 0;
-  border-width: 0;
-  background: transparent;
-  font-family: inherit;
-  font-size: inherit;
-  margin: 0;
-  white-space: pre;
-  word-wrap: normal;
-  line-height: inherit;
-  color: inherit;
-  z-index: 2;
-  position: relative;
-  overflow: visible;
-  -webkit-tap-highlight-color: transparent;
-  -webkit-font-variant-ligatures: contextual;
-  font-variant-ligatures: contextual;
+
+.jp-RenderedText pre .ansi-black-intense-bg {
+  background-color: #282c36;
+  padding: var(--jp-private-code-span-padding) 0;
 }
-.CodeMirror-wrap pre.CodeMirror-line,
-.CodeMirror-wrap pre.CodeMirror-line-like {
-  word-wrap: break-word;
-  white-space: pre-wrap;
-  word-break: normal;
+
+.jp-RenderedText pre .ansi-red-intense-bg {
+  background-color: #b22b31;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 
-.CodeMirror-linebackground {
-  position: absolute;
-  left: 0; right: 0; top: 0; bottom: 0;
-  z-index: 0;
+.jp-RenderedText pre .ansi-green-intense-bg {
+  background-color: #007427;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 
-.CodeMirror-linewidget {
-  position: relative;
-  z-index: 2;
-  padding: 0.1px; /* Force widget margins to stay inside of the container */
+.jp-RenderedText pre .ansi-yellow-intense-bg {
+  background-color: #b27d12;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 
-.CodeMirror-widget {}
+.jp-RenderedText pre .ansi-blue-intense-bg {
+  background-color: #0065ca;
+  padding: var(--jp-private-code-span-padding) 0;
+}
 
-.CodeMirror-rtl pre { direction: rtl; }
+.jp-RenderedText pre .ansi-magenta-intense-bg {
+  background-color: #a03196;
+  padding: var(--jp-private-code-span-padding) 0;
+}
 
-.CodeMirror-code {
-  outline: none;
+.jp-RenderedText pre .ansi-cyan-intense-bg {
+  background-color: #258f8f;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 
-/* Force content-box sizing for the elements where we expect it */
-.CodeMirror-scroll,
-.CodeMirror-sizer,
-.CodeMirror-gutter,
-.CodeMirror-gutters,
-.CodeMirror-linenumber {
-  -moz-box-sizing: content-box;
-  box-sizing: content-box;
+.jp-RenderedText pre .ansi-white-intense-bg {
+  background-color: #a1a6b2;
+  padding: var(--jp-private-code-span-padding) 0;
 }
 
-.CodeMirror-measure {
-  position: absolute;
-  width: 100%;
-  height: 0;
-  overflow: hidden;
-  visibility: hidden;
+.jp-RenderedText pre .ansi-default-inverse-fg {
+  color: var(--jp-ui-inverse-font-color0);
 }
 
-.CodeMirror-cursor {
-  position: absolute;
-  pointer-events: none;
+.jp-RenderedText pre .ansi-default-inverse-bg {
+  background-color: var(--jp-inverse-layout-color0);
+  padding: var(--jp-private-code-span-padding) 0;
 }
-.CodeMirror-measure pre { position: static; }
 
-div.CodeMirror-cursors {
-  visibility: hidden;
-  position: relative;
-  z-index: 3;
+.jp-RenderedText pre .ansi-bold {
+  font-weight: bold;
 }
-div.CodeMirror-dragcursors {
-  visibility: visible;
+
+.jp-RenderedText pre .ansi-underline {
+  text-decoration: underline;
 }
 
-.CodeMirror-focused div.CodeMirror-cursors {
-  visibility: visible;
+.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
+  background: var(--jp-rendermime-error-background);
+  padding-top: var(--jp-code-padding);
 }
 
-.CodeMirror-selected { background: #d9d9d9; }
-.CodeMirror-focused .CodeMirror-selected { background: #d7d4f0; }
-.CodeMirror-crosshair { cursor: crosshair; }
-.CodeMirror-line::selection, .CodeMirror-line > span::selection, .CodeMirror-line > span > span::selection { background: #d7d4f0; }
-.CodeMirror-line::-moz-selection, .CodeMirror-line > span::-moz-selection, .CodeMirror-line > span > span::-moz-selection { background: #d7d4f0; }
+/*-----------------------------------------------------------------------------
+| RenderedLatex
+|----------------------------------------------------------------------------*/
 
-.cm-searching {
-  background-color: #ffa;
-  background-color: rgba(255, 255, 0, .4);
+.jp-RenderedLatex {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
 }
 
-/* Used to force a border model for a node */
-.cm-force-border { padding-right: .1px; }
-
-@media print {
-  /* Hide the cursor when printing */
-  .CodeMirror div.CodeMirror-cursors {
-    visibility: hidden;
-  }
+/* Left-justify outputs.*/
+.jp-OutputArea-output.jp-RenderedLatex {
+  padding: var(--jp-code-padding);
+  text-align: left;
 }
 
-/* See issue #2901 */
-.cm-tab-wrap-hack:after { content: ''; }
+/*-----------------------------------------------------------------------------
+| RenderedHTML
+|----------------------------------------------------------------------------*/
 
-/* Help users use markselection to safely style text background */
-span.CodeMirror-selectedtext { background: none; }
+.jp-RenderedHTMLCommon {
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-content-font-family);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
 
-.CodeMirror-dialog {
-  position: absolute;
-  left: 0; right: 0;
-  background: inherit;
-  z-index: 15;
-  padding: .1em .8em;
-  overflow: hidden;
-  color: inherit;
+  /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
+  padding-right: 20px;
 }
 
-.CodeMirror-dialog-top {
-  border-bottom: 1px solid #eee;
-  top: 0;
+.jp-RenderedHTMLCommon em {
+  font-style: italic;
 }
 
-.CodeMirror-dialog-bottom {
-  border-top: 1px solid #eee;
-  bottom: 0;
+.jp-RenderedHTMLCommon strong {
+  font-weight: bold;
 }
 
-.CodeMirror-dialog input {
-  border: none;
-  outline: none;
-  background: transparent;
-  width: 20em;
-  color: inherit;
-  font-family: monospace;
+.jp-RenderedHTMLCommon u {
+  text-decoration: underline;
 }
 
-.CodeMirror-dialog button {
-  font-size: 70%;
+.jp-RenderedHTMLCommon a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
 }
 
-.CodeMirror-foldmarker {
-  color: blue;
-  text-shadow: #b9f 1px 1px 2px, #b9f -1px -1px 2px, #b9f 1px -1px 2px, #b9f -1px 1px 2px;
-  font-family: arial;
-  line-height: .3;
-  cursor: pointer;
-}
-.CodeMirror-foldgutter {
-  width: .7em;
-}
-.CodeMirror-foldgutter-open,
-.CodeMirror-foldgutter-folded {
-  cursor: pointer;
-}
-.CodeMirror-foldgutter-open:after {
-  content: "\25BE";
+.jp-RenderedHTMLCommon a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
 }
-.CodeMirror-foldgutter-folded:after {
-  content: "\25B8";
+
+.jp-RenderedHTMLCommon a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
 }
 
-/*-----------------------------------------------------------------------------
-| Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
+/* Headings */
 
-.CodeMirror {
-  line-height: var(--jp-code-line-height);
-  font-size: var(--jp-code-font-size);
-  font-family: var(--jp-code-font-family);
-  border: 0;
-  border-radius: 0;
-  height: auto;
-  /* Changed to auto to autogrow */
+.jp-RenderedHTMLCommon h1,
+.jp-RenderedHTMLCommon h2,
+.jp-RenderedHTMLCommon h3,
+.jp-RenderedHTMLCommon h4,
+.jp-RenderedHTMLCommon h5,
+.jp-RenderedHTMLCommon h6 {
+  line-height: var(--jp-content-heading-line-height);
+  font-weight: var(--jp-content-heading-font-weight);
+  font-style: normal;
+  margin: var(--jp-content-heading-margin-top) 0
+    var(--jp-content-heading-margin-bottom) 0;
 }
 
-.CodeMirror pre {
-  padding: 0 var(--jp-code-padding);
+.jp-RenderedHTMLCommon h1:first-child,
+.jp-RenderedHTMLCommon h2:first-child,
+.jp-RenderedHTMLCommon h3:first-child,
+.jp-RenderedHTMLCommon h4:first-child,
+.jp-RenderedHTMLCommon h5:first-child,
+.jp-RenderedHTMLCommon h6:first-child {
+  margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
 }
 
-.CodeMirror.cm-fat-cursor .cm-overlay.cm-searching {
-  opacity: 0.5;
+.jp-RenderedHTMLCommon h1:last-child,
+.jp-RenderedHTMLCommon h2:last-child,
+.jp-RenderedHTMLCommon h3:last-child,
+.jp-RenderedHTMLCommon h4:last-child,
+.jp-RenderedHTMLCommon h5:last-child,
+.jp-RenderedHTMLCommon h6:last-child {
+  margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
 }
 
-.jp-CodeMirrorEditor[data-type='inline'] .CodeMirror-dialog {
-  background-color: var(--jp-layout-color0);
-  color: var(--jp-content-font-color1);
+.jp-RenderedHTMLCommon h1 {
+  font-size: var(--jp-content-font-size5);
 }
 
-/* This causes https://github.com/jupyter/jupyterlab/issues/522 */
-/* May not cause it not because we changed it! */
-.CodeMirror-lines {
-  padding: var(--jp-code-padding) 0;
+.jp-RenderedHTMLCommon h2 {
+  font-size: var(--jp-content-font-size4);
 }
 
-.CodeMirror-linenumber {
-  padding: 0 8px;
+.jp-RenderedHTMLCommon h3 {
+  font-size: var(--jp-content-font-size3);
 }
 
-.jp-CodeMirrorEditor {
-  cursor: text;
+.jp-RenderedHTMLCommon h4 {
+  font-size: var(--jp-content-font-size2);
 }
 
-.jp-CodeMirrorEditor[data-type='inline'] .CodeMirror-cursor {
-  border-left: var(--jp-code-cursor-width0) solid var(--jp-editor-cursor-color);
+.jp-RenderedHTMLCommon h5 {
+  font-size: var(--jp-content-font-size1);
 }
 
-/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
-@media screen and (min-width: 2138px) and (max-width: 4319px) {
-  .jp-CodeMirrorEditor[data-type='inline'] .CodeMirror-cursor {
-    border-left: var(--jp-code-cursor-width1) solid
-      var(--jp-editor-cursor-color);
-  }
+.jp-RenderedHTMLCommon h6 {
+  font-size: var(--jp-content-font-size0);
 }
 
-/* When zoomed out less than 33% */
-@media screen and (min-width: 4320px) {
-  .jp-CodeMirrorEditor[data-type='inline'] .CodeMirror-cursor {
-    border-left: var(--jp-code-cursor-width2) solid
-      var(--jp-editor-cursor-color);
-  }
+/* Lists */
+
+/* stylelint-disable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon ul:not(.list-inline),
+.jp-RenderedHTMLCommon ol:not(.list-inline) {
+  padding-left: 2em;
 }
 
-.CodeMirror.jp-mod-readOnly .CodeMirror-cursor {
-  display: none;
+.jp-RenderedHTMLCommon ul {
+  list-style: disc;
 }
 
-.CodeMirror-gutters {
-  border-right: 1px solid var(--jp-border-color2);
-  background-color: var(--jp-layout-color0);
+.jp-RenderedHTMLCommon ul ul {
+  list-style: square;
 }
 
-.jp-CollaboratorCursor {
-  border-left: 5px solid transparent;
-  border-right: 5px solid transparent;
-  border-top: none;
-  border-bottom: 3px solid;
-  background-clip: content-box;
-  margin-left: -5px;
-  margin-right: -5px;
+.jp-RenderedHTMLCommon ul ul ul {
+  list-style: circle;
 }
 
-.CodeMirror-selectedtext.cm-searching {
-  background-color: var(--jp-search-selected-match-background-color) !important;
-  color: var(--jp-search-selected-match-color) !important;
+.jp-RenderedHTMLCommon ol {
+  list-style: decimal;
 }
 
-.cm-searching {
-  background-color: var(
-    --jp-search-unselected-match-background-color
-  ) !important;
-  color: var(--jp-search-unselected-match-color) !important;
+.jp-RenderedHTMLCommon ol ol {
+  list-style: upper-alpha;
 }
 
-.cm-trailingspace {
-  background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
-  background-position: center left;
-  background-repeat: repeat-x;
+.jp-RenderedHTMLCommon ol ol ol {
+  list-style: lower-alpha;
 }
 
-.CodeMirror-focused .CodeMirror-selected {
-  background-color: var(--jp-editor-selected-focused-background);
+.jp-RenderedHTMLCommon ol ol ol ol {
+  list-style: lower-roman;
 }
 
-.CodeMirror-selected {
-  background-color: var(--jp-editor-selected-background);
+.jp-RenderedHTMLCommon ol ol ol ol ol {
+  list-style: decimal;
 }
 
-.jp-CollaboratorCursor-hover {
-  position: absolute;
-  z-index: 1;
-  transform: translateX(-50%);
-  color: white;
-  border-radius: 3px;
-  padding-left: 4px;
-  padding-right: 4px;
-  padding-top: 1px;
-  padding-bottom: 1px;
-  text-align: center;
-  font-size: var(--jp-ui-font-size1);
-  white-space: nowrap;
+.jp-RenderedHTMLCommon ol,
+.jp-RenderedHTMLCommon ul {
+  margin-bottom: 1em;
 }
 
-.jp-CodeMirror-ruler {
-  border-left: 1px dashed var(--jp-border-color2);
+.jp-RenderedHTMLCommon ul ul,
+.jp-RenderedHTMLCommon ul ol,
+.jp-RenderedHTMLCommon ol ul,
+.jp-RenderedHTMLCommon ol ol {
+  margin-bottom: 0;
 }
 
-/**
- * Here is our jupyter theme for CodeMirror syntax highlighting
- * This is used in our marked.js syntax highlighting and CodeMirror itself
- * The string "jupyter" is set in ../codemirror/widget.DEFAULT_CODEMIRROR_THEME
- * This came from the classic notebook, which came form highlight.js/GitHub
- */
+/* stylelint-enable selector-max-type, selector-max-compound-selectors */
 
-/**
- * CodeMirror themes are handling the background/color in this way. This works
- * fine for CodeMirror editors outside the notebook, but the notebook styles
- * these things differently.
- */
-.CodeMirror.cm-s-jupyter {
-  background: var(--jp-layout-color0);
-  color: var(--jp-content-font-color1);
+.jp-RenderedHTMLCommon hr {
+  color: var(--jp-border-color2);
+  background-color: var(--jp-border-color1);
+  margin-top: 1em;
+  margin-bottom: 1em;
 }
 
-/* In the notebook, we want this styling to be handled by its container */
-.jp-CodeConsole .CodeMirror.cm-s-jupyter,
-.jp-Notebook .CodeMirror.cm-s-jupyter {
-  background: transparent;
+.jp-RenderedHTMLCommon > pre {
+  margin: 1.5em 2em;
 }
 
-.cm-s-jupyter .CodeMirror-cursor {
-  border-left: var(--jp-code-cursor-width0) solid var(--jp-editor-cursor-color);
-}
-.cm-s-jupyter span.cm-keyword {
-  color: var(--jp-mirror-editor-keyword-color);
-  font-weight: bold;
-}
-.cm-s-jupyter span.cm-atom {
-  color: var(--jp-mirror-editor-atom-color);
-}
-.cm-s-jupyter span.cm-number {
-  color: var(--jp-mirror-editor-number-color);
-}
-.cm-s-jupyter span.cm-def {
-  color: var(--jp-mirror-editor-def-color);
-}
-.cm-s-jupyter span.cm-variable {
-  color: var(--jp-mirror-editor-variable-color);
-}
-.cm-s-jupyter span.cm-variable-2 {
-  color: var(--jp-mirror-editor-variable-2-color);
-}
-.cm-s-jupyter span.cm-variable-3 {
-  color: var(--jp-mirror-editor-variable-3-color);
-}
-.cm-s-jupyter span.cm-punctuation {
-  color: var(--jp-mirror-editor-punctuation-color);
-}
-.cm-s-jupyter span.cm-property {
-  color: var(--jp-mirror-editor-property-color);
-}
-.cm-s-jupyter span.cm-operator {
-  color: var(--jp-mirror-editor-operator-color);
-  font-weight: bold;
-}
-.cm-s-jupyter span.cm-comment {
-  color: var(--jp-mirror-editor-comment-color);
-  font-style: italic;
-}
-.cm-s-jupyter span.cm-string {
-  color: var(--jp-mirror-editor-string-color);
-}
-.cm-s-jupyter span.cm-string-2 {
-  color: var(--jp-mirror-editor-string-2-color);
-}
-.cm-s-jupyter span.cm-meta {
-  color: var(--jp-mirror-editor-meta-color);
-}
-.cm-s-jupyter span.cm-qualifier {
-  color: var(--jp-mirror-editor-qualifier-color);
-}
-.cm-s-jupyter span.cm-builtin {
-  color: var(--jp-mirror-editor-builtin-color);
-}
-.cm-s-jupyter span.cm-bracket {
-  color: var(--jp-mirror-editor-bracket-color);
-}
-.cm-s-jupyter span.cm-tag {
-  color: var(--jp-mirror-editor-tag-color);
-}
-.cm-s-jupyter span.cm-attribute {
-  color: var(--jp-mirror-editor-attribute-color);
-}
-.cm-s-jupyter span.cm-header {
-  color: var(--jp-mirror-editor-header-color);
-}
-.cm-s-jupyter span.cm-quote {
-  color: var(--jp-mirror-editor-quote-color);
+.jp-RenderedHTMLCommon pre,
+.jp-RenderedHTMLCommon code {
+  border: 0;
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  line-height: var(--jp-code-line-height);
+  padding: 0;
+  white-space: pre-wrap;
 }
-.cm-s-jupyter span.cm-link {
-  color: var(--jp-mirror-editor-link-color);
+
+.jp-RenderedHTMLCommon :not(pre) > code {
+  background-color: var(--jp-layout-color2);
+  padding: 1px 5px;
 }
-.cm-s-jupyter span.cm-error {
-  color: var(--jp-mirror-editor-error-color);
+
+/* Tables */
+
+.jp-RenderedHTMLCommon table {
+  border-collapse: collapse;
+  border-spacing: 0;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  table-layout: fixed;
+  margin-left: auto;
+  margin-bottom: 1em;
+  margin-right: auto;
 }
-.cm-s-jupyter span.cm-hr {
-  color: #999;
+
+.jp-RenderedHTMLCommon thead {
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  vertical-align: bottom;
 }
 
-.cm-s-jupyter span.cm-tab {
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+/*-----------------------------------------------------------------------------
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+  all: initial;
+  overflow: hidden;
+  display: inline-block;
+  border: none;
+  box-sizing: border-box;
 }
 
-.jp-RenderedHTMLCommon ol ol {
-  list-style: upper-alpha;
+.jp-DocumentSearch-toggle-wrapper {
+  width: 14px;
+  height: 14px;
 }
 
-.jp-RenderedHTMLCommon ol ol ol {
-  list-style: lower-alpha;
+.jp-DocumentSearch-button-wrapper {
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
 }
 
-.jp-RenderedHTMLCommon ol ol ol ol {
-  list-style: lower-roman;
+.jp-DocumentSearch-toggle-wrapper:focus,
+.jp-DocumentSearch-button-wrapper:focus {
+  outline: var(--jp-border-width) solid
+    var(--jp-cell-editor-active-border-color);
+  outline-offset: -1px;
 }
 
-.jp-RenderedHTMLCommon ol ol ol ol ol {
-  list-style: decimal;
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper,
+.jp-DocumentSearch-button-content:focus {
+  outline: none;
 }
 
-.jp-RenderedHTMLCommon ol,
-.jp-RenderedHTMLCommon ul {
-  margin-bottom: 1em;
+.jp-DocumentSearch-toggle-placeholder {
+  width: 5px;
 }
 
-.jp-RenderedHTMLCommon ul ul,
-.jp-RenderedHTMLCommon ul ol,
-.jp-RenderedHTMLCommon ol ul,
-.jp-RenderedHTMLCommon ol ol {
-  margin-bottom: 0em;
+.jp-DocumentSearch-input-button::before {
+  display: block;
+  padding-top: 100%;
 }
 
-.jp-RenderedHTMLCommon hr {
-  color: var(--jp-border-color2);
-  background-color: var(--jp-border-color1);
-  margin-top: 1em;
-  margin-bottom: 1em;
+.jp-DocumentSearch-input-button-off {
+  opacity: var(--jp-search-toggle-off-opacity);
 }
 
-.jp-RenderedHTMLCommon > pre {
-  margin: 1.5em 2em;
+.jp-DocumentSearch-input-button-off:hover {
+  opacity: var(--jp-search-toggle-hover-opacity);
 }
 
-.jp-RenderedHTMLCommon pre,
-.jp-RenderedHTMLCommon code {
-  border: 0;
-  background-color: var(--jp-layout-color0);
-  color: var(--jp-content-font-color1);
-  font-family: var(--jp-code-font-family);
-  font-size: inherit;
-  line-height: var(--jp-code-line-height);
-  padding: 0;
-  white-space: pre-wrap;
+.jp-DocumentSearch-input-button-on {
+  opacity: var(--jp-search-toggle-on-opacity);
 }
 
-.jp-RenderedHTMLCommon :not(pre) > code {
-  background-color: var(--jp-layout-color2);
-  padding: 1px 5px;
+.jp-DocumentSearch-index-counter {
+  padding-left: 10px;
+  padding-right: 10px;
+  user-select: none;
+  min-width: 35px;
+  display: inline-block;
 }
 
-/* Tables */
-
-.jp-RenderedHTMLCommon table {
-  border-collapse: collapse;
-  border-spacing: 0;
-  border: none;
-  color: var(--jp-ui-font-color1);
-  font-size: var(--jp-ui-font-size1);
-  table-layout: fixed;
+.jp-DocumentSearch-up-down-wrapper {
+  display: inline-block;
+  padding-right: 2px;
   margin-left: auto;
-  margin-right: auto;
+  white-space: nowrap;
 }
 
-.jp-RenderedHTMLCommon thead {
-  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
-  vertical-align: bottom;
+.jp-DocumentSearch-spacer {
+  margin-left: auto;
 }
 
-.jp-RenderedHTMLCommon td,
-.jp-RenderedHTMLCommon th,
-.jp-RenderedHTMLCommon tr {
-  vertical-align: middle;
-  padding: 0.5em 0.5em;
-  line-height: normal;
-  white-space: normal;
-  max-width: none;
+.jp-DocumentSearch-up-down-wrapper button {
+  outline: 0;
   border: none;
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+  vertical-align: middle;
+  margin: 1px 5px 2px;
 }
 
-.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
-.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
-  max-width: none;
+.jp-DocumentSearch-up-down-button:hover {
+  background-color: var(--jp-layout-color2);
 }
 
-:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
-:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
-:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
-  text-align: right;
+.jp-DocumentSearch-up-down-button:active {
+  background-color: var(--jp-layout-color3);
 }
 
-.jp-RenderedHTMLCommon th {
-  font-weight: bold;
+.jp-DocumentSearch-filter-button {
+  border-radius: var(--jp-border-radius);
 }
 
-.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
-  background: var(--jp-layout-color0);
+.jp-DocumentSearch-filter-button:hover {
+  background-color: var(--jp-layout-color2);
 }
 
-.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
-  background: var(--jp-rendermime-table-row-background);
+.jp-DocumentSearch-filter-button-enabled {
+  background-color: var(--jp-layout-color2);
 }
 
-.jp-RenderedHTMLCommon tbody tr:hover {
-  background: var(--jp-rendermime-table-row-hover-background);
+.jp-DocumentSearch-filter-button-enabled:hover {
+  background-color: var(--jp-layout-color3);
 }
 
-.jp-RenderedHTMLCommon table {
-  margin-bottom: 1em;
+.jp-DocumentSearch-search-options {
+  padding: 0 8px;
+  margin-left: 3px;
+  width: 100%;
+  display: grid;
+  justify-content: start;
+  grid-template-columns: 1fr 1fr;
+  align-items: center;
+  justify-items: stretch;
 }
 
-.jp-RenderedHTMLCommon p {
-  text-align: left;
-  margin: 0px;
+.jp-DocumentSearch-search-filter-disabled {
+  color: var(--jp-ui-font-color2);
 }
 
-.jp-RenderedHTMLCommon p {
-  margin-bottom: 1em;
+.jp-DocumentSearch-search-filter {
+  display: flex;
+  align-items: center;
+  user-select: none;
 }
 
-.jp-RenderedHTMLCommon img {
-  -moz-force-broken-image-icon: 1;
+.jp-DocumentSearch-regex-error {
+  color: var(--jp-error-color0);
 }
 
-/* Restrict to direct children as other images could be nested in other content. */
-.jp-RenderedHTMLCommon > img {
-  display: block;
-  margin-left: 0;
-  margin-right: 0;
-  margin-bottom: 1em;
+.jp-DocumentSearch-replace-button-wrapper {
+  overflow: hidden;
+  display: inline-block;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  margin: auto 2px;
+  padding: 1px 4px;
+  height: calc(var(--jp-private-document-search-button-height) + 2px);
 }
 
-/* Change color behind transparent images if they need it... */
-[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
-  background-color: var(--jp-inverse-layout-color1);
+.jp-DocumentSearch-replace-button-wrapper:focus {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-replace-button {
+  display: inline-block;
+  text-align: center;
+  cursor: pointer;
+  box-sizing: border-box;
+  color: var(--jp-ui-font-color1);
+
+  /* height - 2 * (padding of wrapper) */
+  line-height: calc(var(--jp-private-document-search-button-height) - 2px);
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-replace-button:focus {
+  outline: none;
 }
-[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
-  background-color: var(--jp-inverse-layout-color1);
+
+.jp-DocumentSearch-replace-wrapper-class {
+  margin-left: 14px;
+  display: flex;
 }
-/* ...or leave it untouched if they don't */
-[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-dark-background {
+
+.jp-DocumentSearch-replace-toggle {
+  border: none;
+  background-color: var(--jp-toolbar-background);
+  border-radius: var(--jp-border-radius);
 }
-[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-light-background {
+
+.jp-DocumentSearch-replace-toggle:hover {
+  background-color: var(--jp-layout-color2);
 }
 
-.jp-RenderedHTMLCommon img,
-.jp-RenderedImage img,
-.jp-RenderedHTMLCommon svg,
-.jp-RenderedSVG svg {
-  max-width: 100%;
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.cm-editor {
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  border: 0;
+  border-radius: 0;
   height: auto;
-}
 
-.jp-RenderedHTMLCommon img.jp-mod-unconfined,
-.jp-RenderedImage img.jp-mod-unconfined,
-.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
-.jp-RenderedSVG svg.jp-mod-unconfined {
-  max-width: none;
+  /* Changed to auto to autogrow */
 }
 
-.jp-RenderedHTMLCommon .alert {
-  padding: var(--jp-notebook-padding);
-  border: var(--jp-border-width) solid transparent;
-  border-radius: var(--jp-border-radius);
-  margin-bottom: 1em;
+.cm-editor pre {
+  padding: 0 var(--jp-code-padding);
 }
 
-.jp-RenderedHTMLCommon .alert-info {
-  color: var(--jp-info-color0);
-  background-color: var(--jp-info-color3);
-  border-color: var(--jp-info-color2);
+.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
 }
-.jp-RenderedHTMLCommon .alert-info hr {
-  border-color: var(--jp-info-color3);
+
+.jp-CodeMirrorEditor {
+  cursor: text;
 }
-.jp-RenderedHTMLCommon .alert-info > p:last-child,
-.jp-RenderedHTMLCommon .alert-info > ul:last-child {
-  margin-bottom: 0;
+
+/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width1) solid
+      var(--jp-editor-cursor-color);
+  }
 }
 
-.jp-RenderedHTMLCommon .alert-warning {
-  color: var(--jp-warn-color0);
-  background-color: var(--jp-warn-color3);
-  border-color: var(--jp-warn-color2);
+/* When zoomed out less than 33% */
+@media screen and (min-width: 4320px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width2) solid
+      var(--jp-editor-cursor-color);
+  }
 }
-.jp-RenderedHTMLCommon .alert-warning hr {
-  border-color: var(--jp-warn-color3);
+
+.cm-editor.jp-mod-readOnly .cm-cursor {
+  display: none;
 }
-.jp-RenderedHTMLCommon .alert-warning > p:last-child,
-.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
-  margin-bottom: 0;
+
+.jp-CollaboratorCursor {
+  border-left: 5px solid transparent;
+  border-right: 5px solid transparent;
+  border-top: none;
+  border-bottom: 3px solid;
+  background-clip: content-box;
+  margin-left: -5px;
+  margin-right: -5px;
 }
 
-.jp-RenderedHTMLCommon .alert-success {
-  color: var(--jp-success-color0);
-  background-color: var(--jp-success-color3);
-  border-color: var(--jp-success-color2);
+.cm-searching,
+.cm-searching span {
+  /* `.cm-searching span`: we need to override syntax highlighting */
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
 }
-.jp-RenderedHTMLCommon .alert-success hr {
-  border-color: var(--jp-success-color3);
+
+.cm-searching::selection,
+.cm-searching span::selection {
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
 }
-.jp-RenderedHTMLCommon .alert-success > p:last-child,
-.jp-RenderedHTMLCommon .alert-success > ul:last-child {
-  margin-bottom: 0;
+
+.jp-current-match > .cm-searching,
+.jp-current-match > .cm-searching span,
+.cm-searching > .jp-current-match,
+.cm-searching > .jp-current-match span {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
 }
 
-.jp-RenderedHTMLCommon .alert-danger {
-  color: var(--jp-error-color0);
-  background-color: var(--jp-error-color3);
-  border-color: var(--jp-error-color2);
+.jp-current-match > .cm-searching::selection,
+.cm-searching > .jp-current-match::selection,
+.jp-current-match > .cm-searching span::selection {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
 }
-.jp-RenderedHTMLCommon .alert-danger hr {
-  border-color: var(--jp-error-color3);
+
+.cm-trailingspace {
+  background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
+  background-position: center left;
+  background-repeat: repeat-x;
 }
-.jp-RenderedHTMLCommon .alert-danger > p:last-child,
-.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
-  margin-bottom: 0;
+
+.jp-CollaboratorCursor-hover {
+  position: absolute;
+  z-index: 1;
+  transform: translateX(-50%);
+  color: white;
+  border-radius: 3px;
+  padding-left: 4px;
+  padding-right: 4px;
+  padding-top: 1px;
+  padding-bottom: 1px;
+  text-align: center;
+  font-size: var(--jp-ui-font-size1);
+  white-space: nowrap;
 }
 
-.jp-RenderedHTMLCommon blockquote {
-  margin: 1em 2em;
-  padding: 0 1em;
-  border-left: 5px solid var(--jp-border-color2);
+.jp-CodeMirror-ruler {
+  border-left: 1px dashed var(--jp-border-color2);
 }
 
-a.jp-InternalAnchorLink {
-  visibility: hidden;
-  margin-left: 8px;
-  color: var(--md-blue-800);
+/* Styles for shared cursors (remote cursor locations and selected ranges) */
+.jp-CodeMirrorEditor .cm-ySelectionCaret {
+  position: relative;
+  border-left: 1px solid black;
+  margin-left: -1px;
+  margin-right: -1px;
+  box-sizing: border-box;
 }
 
-h1:hover .jp-InternalAnchorLink,
-h2:hover .jp-InternalAnchorLink,
-h3:hover .jp-InternalAnchorLink,
-h4:hover .jp-InternalAnchorLink,
-h5:hover .jp-InternalAnchorLink,
-h6:hover .jp-InternalAnchorLink {
-  visibility: visible;
+.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
+  white-space: nowrap;
+  position: absolute;
+  top: -1.15em;
+  padding-bottom: 0.05em;
+  left: -1px;
+  font-size: 0.95em;
+  font-family: var(--jp-ui-font-family);
+  font-weight: bold;
+  line-height: normal;
+  user-select: none;
+  color: white;
+  padding-left: 2px;
+  padding-right: 2px;
+  z-index: 101;
+  transition: opacity 0.3s ease-in-out;
 }
 
-.jp-RenderedHTMLCommon kbd {
-  background-color: var(--jp-rendermime-table-row-background);
-  border: 1px solid var(--jp-border-color0);
-  border-bottom-color: var(--jp-border-color2);
-  border-radius: 3px;
-  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
-  display: inline-block;
-  font-size: var(--jp-ui-font-size0);
-  line-height: 1em;
-  padding: 0.2em 0.5em;
+.jp-CodeMirrorEditor .cm-ySelectionInfo {
+  transition-delay: 0.7s;
+  opacity: 0;
 }
 
-/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
- * At the bottom of cells this is a bit too much as there is also spacing
- * between cells. Going all the way to 0 gets too tight between markdown and
- * code cells.
- */
-.jp-RenderedHTMLCommon > *:last-child {
-  margin-bottom: 0.5em;
+.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
+  opacity: 1;
+  transition-delay: 0s;
 }
 
 /*-----------------------------------------------------------------------------
@@ -13171,33 +5025,36 @@
 | Distributed under the terms of the Modified BSD License.
 |----------------------------------------------------------------------------*/
 
-.jp-FileBrowser {
+.jp-FileBrowser .jp-SidePanel-content {
   display: flex;
   flex-direction: column;
-  color: var(--jp-ui-font-color1);
-  background: var(--jp-layout-color1);
-  /* This is needed so that all font sizing of children done in ems is
-   * relative to this base size */
-  font-size: var(--jp-ui-font-size1);
 }
 
 .jp-FileBrowser-toolbar.jp-Toolbar {
+  flex-wrap: wrap;
+  row-gap: 12px;
   border-bottom: none;
   height: auto;
-  margin: 8px 12px 0px 12px;
-  padding: 0px;
+  margin: 8px 12px 0;
   box-shadow: none;
+  padding: 0;
   justify-content: flex-start;
 }
 
+.jp-FileBrowser-Panel {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+}
+
 .jp-BreadCrumbs {
   flex: 0 0 auto;
-  margin: 8px 12px 8px 12px;
+  margin: 8px 12px;
 }
 
 .jp-BreadCrumbs-item {
-  margin: 0px 2px;
-  padding: 0px 2px;
+  margin: 0 2px;
+  padding: 0 2px;
   border-radius: var(--jp-border-radius);
   cursor: pointer;
 }
@@ -13207,7 +5064,7 @@
 }
 
 .jp-BreadCrumbs-item:first-child {
-  margin-left: 0px;
+  margin-left: 0;
 }
 
 .jp-BreadCrumbs-item.jp-mod-dropTarget {
@@ -13221,33 +5078,16 @@
 
 .jp-FileBrowser-toolbar > .jp-Toolbar-item {
   flex: 0 0 auto;
-  padding-left: 0px;
+  padding-left: 0;
   padding-right: 2px;
+  align-items: center;
+  height: unset;
 }
 
 .jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
   width: 40px;
 }
 
-.jp-FileBrowser-toolbar
-  .jp-ToolbarButtonComponent[data-command='filebrowser:create-main-launcher'] {
-  width: 72px;
-  background: var(--jp-brand-color1);
-}
-
-.jp-FileBrowser-toolbar
-  .jp-ToolbarButtonComponent[data-command='filebrowser:create-main-launcher']:hover,
-.jp-FileBrowser-toolbar
-  .jp-ToolbarButtonComponent[data-command='filebrowser:create-main-launcher']:focus-visible {
-  background-color: var(--jp-brand-color0) !important;
-}
-
-.jp-FileBrowser-toolbar
-  .jp-ToolbarButtonComponent[data-command='filebrowser:create-main-launcher']
-  .jp-icon3 {
-  fill: var(--jp-layout-color1);
-}
-
 /*-----------------------------------------------------------------------------
 | Other styles
 |----------------------------------------------------------------------------*/
@@ -13264,10 +5104,12 @@
   display: none;
 }
 
-.jp-FileBrowser-filterBox {
-  padding: 0px;
-  flex: 0 0 auto;
-  margin: 8px 12px 0px 12px;
+.jp-FileSize-hidden {
+  display: none;
+}
+
+.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
+  display: none;
 }
 
 /*-----------------------------------------------------------------------------
@@ -13281,15 +5123,11 @@
   outline: 0;
 }
 
-.jp-DirListing:focus-visible {
-  outline: 1px solid var(--jp-brand-color1);
-  outline-offset: -2px;
-}
-
 .jp-DirListing-header {
   flex: 0 0 auto;
   display: flex;
   flex-direction: row;
+  align-items: center;
   overflow: hidden;
   border-top: var(--jp-border-width) solid var(--jp-border-color2);
   border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
@@ -13298,7 +5136,7 @@
 }
 
 .jp-DirListing-headerItem {
-  padding: 4px 12px 2px 12px;
+  padding: 4px 12px 2px;
   font-weight: 500;
 }
 
@@ -13316,10 +5154,16 @@
   text-align: right;
 }
 
+.jp-DirListing-headerItem.jp-id-filesize {
+  flex: 0 0 75px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
 .jp-id-narrow {
   display: none;
   flex: 0 0 5px;
-  padding: 4px 4px;
+  padding: 4px;
   border-left: var(--jp-border-width) solid var(--jp-border-color2);
   text-align: right;
   color: var(--jp-border-color2);
@@ -13368,6 +5212,7 @@
 .jp-DirListing-item {
   display: flex;
   flex-direction: row;
+  align-items: center;
   padding: 4px 12px;
   -webkit-user-select: none;
   -moz-user-select: none;
@@ -13375,6 +5220,40 @@
   user-select: none;
 }
 
+.jp-DirListing-checkboxWrapper {
+  /* Increases hit area of checkbox. */
+  padding: 4px;
+}
+
+.jp-DirListing-header
+  .jp-DirListing-checkboxWrapper
+  + .jp-DirListing-headerItem {
+  padding-left: 4px;
+}
+
+.jp-DirListing-content .jp-DirListing-checkboxWrapper {
+  position: relative;
+  left: -4px;
+  margin: -4px 0 -4px -8px;
+}
+
+.jp-DirListing-checkboxWrapper.jp-mod-visible {
+  visibility: visible;
+}
+
+/* For devices that support hovering, hide checkboxes until hovered, selected...
+*/
+@media (hover: hover) {
+  .jp-DirListing-checkboxWrapper {
+    visibility: hidden;
+  }
+
+  .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
+  .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
+    visibility: visible;
+  }
+}
+
 .jp-DirListing-item[data-is-dot] {
   opacity: 75%;
 }
@@ -13405,11 +5284,27 @@
   user-select: none;
 }
 
+.jp-DirListing-itemText:focus {
+  outline-width: 2px;
+  outline-color: var(--jp-inverse-layout-color1);
+  outline-style: solid;
+  outline-offset: 1px;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
+  outline-color: var(--jp-layout-color1);
+}
+
 .jp-DirListing-itemModified {
   flex: 0 0 125px;
   text-align: right;
 }
 
+.jp-DirListing-itemFileSize {
+  flex: 0 0 90px;
+  text-align: right;
+}
+
 .jp-DirListing-editor {
   flex: 1 0 64px;
   outline: none;
@@ -13418,7 +5313,7 @@
   background-color: var(--jp-layout-color1);
 }
 
-.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon:before {
+.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
   color: var(--jp-success-color1);
   content: '\25CF';
   font-size: 8px;
@@ -13427,7 +5322,7 @@
 }
 
 .jp-DirListing-item.jp-mod-running.jp-mod-selected
-  .jp-DirListing-itemIcon:before {
+  .jp-DirListing-itemIcon::before {
   color: var(--jp-ui-inverse-font-color1);
 }
 
@@ -13439,7 +5334,7 @@
   width: 160px;
   background-color: var(--jp-ui-inverse-font-color2);
   box-shadow: var(--jp-elevation-z2);
-  border-radius: 0px;
+  border-radius: 0;
   color: var(--jp-ui-font-color1);
   transform: translateX(-40%) translateY(-58%);
 }
@@ -13452,15 +5347,8 @@
 
 /*-----------------------------------------------------------------------------
 | Copyright (c) Jupyter Development Team.
-| Distributed under the terms of the Modified BSD License.
-|----------------------------------------------------------------------------*/
-
-/*-----------------------------------------------------------------------------
-| Private CSS variables
-|----------------------------------------------------------------------------*/
-
-:root {
-}
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
 
 /*-----------------------------------------------------------------------------
 | Main OutputArea
@@ -13472,16 +5360,14 @@
 }
 
 .jp-OutputArea-child {
-  display: flex;
-  flex-direction: row;
-}
-
-body[data-format='mobile'] .jp-OutputArea-child {
-  flex-direction: column;
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
 }
 
 .jp-OutputPrompt {
-  flex: 0 0 var(--jp-cell-prompt-width);
+  width: var(--jp-cell-prompt-width);
   color: var(--jp-cell-outprompt-font-color);
   font-family: var(--jp-cell-prompt-font-family);
   padding: var(--jp-code-padding);
@@ -13490,11 +5376,13 @@
   font-size: var(--jp-code-font-size);
   border: var(--jp-border-width) solid transparent;
   opacity: var(--jp-cell-prompt-opacity);
+
   /* Right align prompt text, don't wrap to handle large prompt numbers */
   text-align: right;
   white-space: nowrap;
   overflow: hidden;
   text-overflow: ellipsis;
+
   /* Disable text selection */
   -webkit-user-select: none;
   -moz-user-select: none;
@@ -13502,12 +5390,14 @@
   user-select: none;
 }
 
-body[data-format='mobile'] .jp-OutputPrompt {
-  flex: 0 0 auto;
-  text-align: left;
+.jp-OutputArea-prompt {
+  display: table-cell;
+  vertical-align: top;
 }
 
 .jp-OutputArea-output {
+  display: table-cell;
+  width: 100%;
   height: auto;
   overflow: auto;
   user-select: text;
@@ -13516,13 +5406,30 @@
   -ms-user-select: text;
 }
 
-.jp-OutputArea-child .jp-OutputArea-output {
-  flex-grow: 1;
-  flex-shrink: 1;
+.jp-OutputArea .jp-RenderedText {
+  padding-left: 1ch;
+}
+
+/**
+ * Prompt overlay.
+ */
+
+.jp-OutputArea-promptOverlay {
+  position: absolute;
+  top: 0;
+  width: var(--jp-cell-prompt-width);
+  height: 100%;
+  opacity: 0.5;
+}
+
+.jp-OutputArea-promptOverlay:hover {
+  background: var(--jp-layout-color2);
+  box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
+  cursor: zoom-out;
 }
 
-body[data-format='mobile'] .jp-OutputArea-child .jp-OutputArea-output {
-  margin-left: var(--jp-notebook-padding);
+.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
+  cursor: zoom-in;
 }
 
 /**
@@ -13534,7 +5441,7 @@
 }
 
 /*
-When drag events occur, `p-mod-override-cursor` is added to the body.
+When drag events occur, `lm-mod-override-cursor` is added to the body.
 Because iframes steal all cursor events, the following two rules are necessary
 to suppress pointer events while resize drags are occurring. There may be a
 better solution to this problem.
@@ -13543,7 +5450,7 @@
   position: relative;
 }
 
-body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated:before {
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
   content: '';
   position: absolute;
   top: 0;
@@ -13557,8 +5464,8 @@
 
 .jp-OutputArea-output pre {
   border: none;
-  margin: 0px;
-  padding: 0px;
+  margin: 0;
+  padding: 0;
   overflow-x: auto;
   overflow-y: auto;
   word-break: break-all;
@@ -13603,10 +5510,11 @@
   margin: 0;
 }
 
-.jp-TrimmedOutputs a {
-  margin: 10px;
-  text-decoration: none;
-  cursor: pointer;
+.jp-TrimmedOutputs pre {
+  background: var(--jp-layout-color3);
+  font-size: calc(var(--jp-code-font-size) * 1.4);
+  text-align: center;
+  text-transform: uppercase;
 }
 
 /* Hide the gutter in case of
@@ -13629,8 +5537,8 @@
 |----------------------------------------------------------------------------*/
 
 .jp-OutputArea-output.jp-OutputArea-executeResult {
-  margin-left: 0px;
-  flex: 1 1 auto;
+  margin-left: 0;
+  width: 100%;
 }
 
 /* Text output with the Out[] prompt needs a top padding to match the
@@ -13659,11 +5567,13 @@
   background-color: inherit;
   width: 42%;
   min-width: 200px;
+
   /* make sure input baseline aligns with prompt */
   vertical-align: baseline;
+
   /* padding + margin = 0.5em between prompt and cursor */
-  padding: 0em 0.25em;
-  margin: 0em 0.25em;
+  padding: 0 0.25em;
+  margin: 0 0.25em;
   flex: 0 0 70%;
 }
 
@@ -13692,6 +5602,160 @@
   height: 100%;
 }
 
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+@media print {
+  .jp-OutputArea-child {
+    break-inside: avoid-page;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-OutputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+
+  .jp-OutputArea-child .jp-OutputArea-output {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+}
+
+/* Trimmed outputs warning */
+.jp-TrimmedOutputs > a {
+  margin: 10px;
+  text-decoration: none;
+  cursor: pointer;
+}
+
+.jp-TrimmedOutputs > a:hover {
+  text-decoration: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Table of Contents
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toc-active-width: 4px;
+}
+
+.jp-TableOfContents {
+  display: flex;
+  flex-direction: column;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  height: 100%;
+}
+
+.jp-TableOfContents-placeholder {
+  text-align: center;
+}
+
+.jp-TableOfContents-placeholderContent {
+  color: var(--jp-content-font-color2);
+  padding: 8px;
+}
+
+.jp-TableOfContents-placeholderContent > h3 {
+  margin-bottom: var(--jp-content-heading-margin-bottom);
+}
+
+.jp-TableOfContents .jp-SidePanel-content {
+  overflow-y: auto;
+}
+
+.jp-TableOfContents-tree {
+  margin: 4px;
+}
+
+.jp-TableOfContents ol {
+  list-style-type: none;
+}
+
+/* stylelint-disable-next-line selector-max-type */
+.jp-TableOfContents li > ol {
+  /* Align left border with triangle icon center */
+  padding-left: 11px;
+}
+
+.jp-TableOfContents-content {
+  /* left margin for the active heading indicator */
+  margin: 0 0 0 var(--jp-private-toc-active-width);
+  padding: 0;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-tocItem {
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-tocItem-heading {
+  display: flex;
+  cursor: pointer;
+}
+
+.jp-tocItem-heading:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-tocItem-content {
+  display: block;
+  padding: 4px 0;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  overflow-x: hidden;
+}
+
+.jp-tocItem-collapser {
+  height: 20px;
+  margin: 2px 2px 0;
+  padding: 0;
+  background: none;
+  border: none;
+  cursor: pointer;
+}
+
+.jp-tocItem-collapser:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+/* Active heading indicator */
+
+.jp-tocItem-heading::before {
+  content: ' ';
+  background: transparent;
+  width: var(--jp-private-toc-active-width);
+  height: 24px;
+  position: absolute;
+  left: 0;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-tocItem-heading.jp-tocItem-active::before {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-tocItem-heading:hover.jp-tocItem-active::before {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
 /*-----------------------------------------------------------------------------
 | Copyright (c) Jupyter Development Team.
 | Distributed under the terms of the Modified BSD License.
@@ -13699,8 +5763,8 @@
 
 .jp-Collapser {
   flex: 0 0 var(--jp-cell-collapser-width);
-  padding: 0px;
-  margin: 0px;
+  padding: 0;
+  margin: 0;
   border: none;
   outline: none;
   background: transparent;
@@ -13712,10 +5776,27 @@
   display: block;
   width: 100%;
   box-sizing: border-box;
+
   /* height: 100% doesn't work because the height of its parent is computed from content */
   position: absolute;
-  top: 0px;
-  bottom: 0px;
+  top: 0;
+  bottom: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Hiding collapsers in print mode.
+
+Note: input and output wrappers have "display: block" propery in print mode.
+*/
+
+@media print {
+  .jp-Collapser {
+    display: none;
+  }
 }
 
 /*-----------------------------------------------------------------------------
@@ -13730,10 +5811,10 @@
 /* Hidden by zero height by default */
 .jp-CellHeader,
 .jp-CellFooter {
-  height: 0px;
+  height: 0;
   width: 100%;
-  padding: 0px;
-  margin: 0px;
+  padding: 0;
+  margin: 0;
   border: none;
   outline: none;
   background: transparent;
@@ -13750,33 +5831,27 @@
 
 /* All input areas */
 .jp-InputArea {
-  display: flex;
-  flex-direction: row;
+  display: table;
+  table-layout: fixed;
+  width: 100%;
   overflow: hidden;
 }
 
-body[data-format='mobile'] .jp-InputArea {
-  flex-direction: column;
-}
-
 .jp-InputArea-editor {
-  flex: 1 1 auto;
+  display: table-cell;
   overflow: hidden;
-}
+  vertical-align: top;
 
-.jp-InputArea-editor {
   /* This is the non-active, default styling */
   border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
-  border-radius: 0px;
+  border-radius: 0;
   background: var(--jp-cell-editor-background);
 }
 
-body[data-format='mobile'] .jp-InputArea-editor {
-  margin-left: var(--jp-notebook-padding);
-}
-
 .jp-InputPrompt {
-  flex: 0 0 var(--jp-cell-prompt-width);
+  display: table-cell;
+  vertical-align: top;
+  width: var(--jp-cell-prompt-width);
   color: var(--jp-cell-inprompt-font-color);
   font-family: var(--jp-cell-prompt-font-family);
   padding: var(--jp-code-padding);
@@ -13785,12 +5860,13 @@
   line-height: var(--jp-code-line-height);
   font-size: var(--jp-code-font-size);
   border: var(--jp-border-width) solid transparent;
-  opacity: var(--jp-cell-prompt-opacity);
+
   /* Right align prompt text, don't wrap to handle large prompt numbers */
   text-align: right;
   white-space: nowrap;
   overflow: hidden;
   text-overflow: ellipsis;
+
   /* Disable text selection */
   -webkit-user-select: none;
   -moz-user-select: none;
@@ -13798,9 +5874,19 @@
   user-select: none;
 }
 
-body[data-format='mobile'] .jp-InputPrompt {
-  flex: 0 0 auto;
-  text-align: left;
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-InputArea-editor {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+
+  .jp-InputPrompt {
+    display: table-row;
+    text-align: left;
+  }
 }
 
 /*-----------------------------------------------------------------------------
@@ -13813,21 +5899,33 @@
 |----------------------------------------------------------------------------*/
 
 .jp-Placeholder {
-  display: flex;
-  flex-direction: row;
-  flex: 1 1 auto;
+  display: table;
+  table-layout: fixed;
+  width: 100%;
 }
 
 .jp-Placeholder-prompt {
+  display: table-cell;
   box-sizing: border-box;
 }
 
 .jp-Placeholder-content {
-  flex: 1 1 auto;
-  border: none;
-  background: transparent;
-  height: 20px;
+  display: table-cell;
+  padding: 4px 6px;
+  border: 1px solid transparent;
+  border-radius: 0;
+  background: none;
   box-sizing: border-box;
+  cursor: pointer;
+}
+
+.jp-Placeholder-contentContainer {
+  display: flex;
+}
+
+.jp-Placeholder-content:hover,
+.jp-InputPlaceholder > .jp-Placeholder-content:hover {
+  border-color: var(--jp-layout-color3);
 }
 
 .jp-Placeholder-content .jp-MoreHorizIcon {
@@ -13839,10 +5937,22 @@
 
 .jp-Placeholder-content .jp-MoreHorizIcon:hover {
   border: 1px solid var(--jp-border-color1);
-  box-shadow: 0px 0px 2px 0px rgba(0, 0, 0, 0.25);
+  box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
   background-color: var(--jp-layout-color0);
 }
 
+.jp-PlaceholderText {
+  white-space: nowrap;
+  overflow-x: hidden;
+  color: var(--jp-inverse-layout-color3);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-InputPlaceholder > .jp-Placeholder-content {
+  border-color: var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+}
+
 /*-----------------------------------------------------------------------------
 | Copyright (c) Jupyter Development Team.
 | Distributed under the terms of the Modified BSD License.
@@ -13862,7 +5972,7 @@
 
 .jp-Cell {
   padding: var(--jp-cell-padding);
-  margin: 0px;
+  margin: 0;
   border: none;
   outline: none;
   background: transparent;
@@ -13876,8 +5986,9 @@
 .jp-Cell-outputWrapper {
   display: flex;
   flex-direction: row;
-  padding: 0px;
-  margin: 0px;
+  padding: 0;
+  margin: 0;
+
   /* Added to reveal the box-shadow on the input and output collapsers. */
   overflow: visible;
 }
@@ -13917,6 +6028,11 @@
   overflow-y: auto;
   max-height: 24em;
   margin-left: var(--jp-private-cell-scrolling-output-offset);
+  resize: vertical;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
+  max-height: unset;
 }
 
 .jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
@@ -13938,11 +6054,13 @@
 }
 
 .jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
-  flex: 0 0
-    calc(
-      var(--jp-cell-prompt-width) -
-        var(--jp-private-cell-scrolling-output-offset)
-    );
+  width: calc(
+    var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
+  );
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
+  left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
 }
 
 /*-----------------------------------------------------------------------------
@@ -13954,7 +6072,8 @@
 |----------------------------------------------------------------------------*/
 
 .jp-MarkdownOutput {
-  flex: 1 1 auto;
+  display: table-cell;
+  width: 100%;
   margin-top: 0;
   margin-bottom: 0;
   padding-left: var(--jp-code-padding);
@@ -13966,35 +6085,25 @@
 
 /* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
 .jp-collapseHeadingButton {
-  display: none;
+  display: flex;
   min-height: var(--jp-cell-collapser-min-height);
-  font-size: var(--jp-code-font-size);
-  position: absolute;
-  right: 0;
-  top: 0;
-  bottom: 0;
+  font-size: var(--jp-code-font-size);
+  position: absolute;
   background-color: transparent;
   background-size: 25px;
   background-repeat: no-repeat;
   background-position-x: center;
   background-position-y: top;
   background-image: var(--jp-icon-caret-down);
-  border: none;
-  cursor: pointer;
-}
-
-.jp-collapseHeadingButton:hover {
-  background-color: var(--jp-layout-color2);
+  right: 0;
+  top: 0;
+  bottom: 0;
 }
 
 .jp-collapseHeadingButton.jp-mod-collapsed {
   background-image: var(--jp-icon-caret-right);
 }
 
-:is(.jp-MarkdownCell:hover, .jp-mod-active) .jp-collapseHeadingButton {
-  display: flex;
-}
-
 /*
  set the container font size to match that of content
  so that the nested collapse buttons have the right size
@@ -14037,18 +6146,52 @@
   background-position-y: top;
 }
 
-.jp-showHiddenCellsButton {
+/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
+  display: none;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton
+  :is(.jp-MarkdownCell:hover, .jp-mod-active)
+  .jp-collapseHeadingButton {
+  display: flex;
+}
+
+/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
+is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
   margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
   margin-top: var(--jp-code-padding);
   border: 1px solid var(--jp-border-color2);
   background-color: var(--jp-border-color3) !important;
   color: var(--jp-content-font-color0) !important;
+  display: flex;
 }
 
-.jp-showHiddenCellsButton:hover {
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
   background-color: var(--jp-border-color2) !important;
 }
 
+.jp-showHiddenCellsButton {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Using block instead of flex to allow the use of the break-inside CSS property for
+cell outputs.
+*/
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+
 /*-----------------------------------------------------------------------------
 | Copyright (c) Jupyter Development Team.
 | Distributed under the terms of the Modified BSD License.
@@ -14075,6 +6218,9 @@
 
 .jp-NotebookPanel-toolbar {
   padding: var(--jp-notebook-toolbar-padding);
+
+  /* disable paint containment from lumino 2.0 default strict CSS containment */
+  contain: style size !important;
 }
 
 .jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
@@ -14107,8 +6253,8 @@
   min-height: var(--jp-toolbar-micro-height);
   padding: var(--jp-notebook-toolbar-padding);
   z-index: 1;
-  right: 0px;
-  top: 0px;
+  right: 0;
+  top: 0;
 }
 
 .jp-Toolbar > .jp-Toolbar-responsive-opener {
@@ -14181,30 +6327,112 @@
   height: 100%;
 }
 
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*
+ * Execution indicator
+ */
+.jp-tocItem-content::after {
+  content: '';
+
+  /* Must be identical to form a circle */
+  width: 12px;
+  height: 12px;
+  background: none;
+  border: none;
+  position: absolute;
+  right: 0;
+}
+
+.jp-tocItem-content[data-running='0']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background: none;
+}
+
+.jp-tocItem-content[data-running='1']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background-color: var(--jp-inverse-layout-color3);
+}
+
+.jp-tocItem-content[data-running='0'],
+.jp-tocItem-content[data-running='1'] {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Notebook-footer {
+  height: 27px;
+  margin-left: calc(
+    var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+      var(--jp-cell-padding)
+  );
+  width: calc(
+    100% -
+      (
+        var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+          var(--jp-cell-padding) + var(--jp-cell-padding)
+      )
+  );
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  color: var(--jp-ui-font-color3);
+  margin-top: 6px;
+  background: none;
+  cursor: pointer;
+}
+
+.jp-Notebook-footer:focus {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+/* For devices that support hovering, hide footer until hover */
+@media (hover: hover) {
+  .jp-Notebook-footer {
+    opacity: 0;
+  }
+
+  .jp-Notebook-footer:focus,
+  .jp-Notebook-footer:hover {
+    opacity: 1;
+  }
+}
+
 /*-----------------------------------------------------------------------------
 | Copyright (c) Jupyter Development Team.
 | Distributed under the terms of the Modified BSD License.
 |----------------------------------------------------------------------------*/
 
 /*-----------------------------------------------------------------------------
-| Private CSS variables
+| Imports
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| CSS variables
 |----------------------------------------------------------------------------*/
 
 :root {
+  --jp-side-by-side-output-size: 1fr;
+  --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
   --jp-private-notebook-dragImage-width: 304px;
   --jp-private-notebook-dragImage-height: 36px;
   --jp-private-notebook-selected-color: var(--md-blue-400);
   --jp-private-notebook-active-color: var(--md-green-400);
 }
 
-/*-----------------------------------------------------------------------------
-| Imports
-|----------------------------------------------------------------------------*/
-
 /*-----------------------------------------------------------------------------
 | Notebook
 |----------------------------------------------------------------------------*/
 
+/* stylelint-disable selector-max-class */
+
 .jp-NotebookPanel {
   display: block;
   height: 100%;
@@ -14238,7 +6466,6 @@
 
 .jp-Notebook .jp-Cell .jp-InputPrompt {
   cursor: move;
-  float: left;
 }
 
 /*-----------------------------------------------------------------------------
@@ -14278,7 +6505,8 @@
 .jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
   color: var(--jp-warn-color1);
 }
-.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt:before {
+
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
   color: var(--jp-warn-color1);
   content: '•';
 }
@@ -14346,7 +6574,7 @@
 }
 
 .jp-dragImage-singlePrompt {
-  box-shadow: 2px 2px 4px 0px rgba(0, 0, 0, 0.12);
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
 }
 
 .jp-dragImage .jp-dragImage-content {
@@ -14360,7 +6588,7 @@
   background: var(--jp-cell-editor-background-color);
   color: var(--jp-content-font-color3);
   text-align: left;
-  margin: 4px 4px 4px 0px;
+  margin: 4px 4px 4px 0;
 }
 
 .jp-dragImage .jp-dragImage-prompt {
@@ -14385,7 +6613,7 @@
   left: 8px;
   background: var(--jp-layout-color2);
   border: var(--jp-border-width) solid var(--jp-input-border-color);
-  box-shadow: 2px 2px 4px 0px rgba(0, 0, 0, 0.12);
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
 }
 
 /*-----------------------------------------------------------------------------
@@ -14397,40 +6625,42 @@
   min-width: var(--jp-sidebar-min-width);
   color: var(--jp-ui-font-color1);
   background: var(--jp-layout-color1);
+
   /* This is needed so that all font sizing of children done in ems is
     * relative to this base size */
   font-size: var(--jp-ui-font-size1);
   overflow: auto;
 }
 
-.jp-NotebookTools-tool {
-  padding: 0px 12px 0 12px;
-}
-
 .jp-ActiveCellTool {
-  padding: 12px;
-  background-color: var(--jp-layout-color1);
-  border-top: none !important;
+  padding: 12px 0;
+  display: flex;
 }
 
-.jp-ActiveCellTool .jp-InputArea-prompt {
-  flex: 0 0 auto;
-  padding-left: 0px;
+.jp-ActiveCellTool-Content {
+  flex: 1 1 auto;
 }
 
-.jp-ActiveCellTool .jp-InputArea-editor {
-  flex: 1 1 auto;
+.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
   background: var(--jp-cell-editor-background);
-  border-color: var(--jp-cell-editor-border-color);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  min-height: 29px;
 }
 
-.jp-ActiveCellTool .jp-InputArea-editor .CodeMirror {
-  background: transparent;
+.jp-ActiveCellTool .jp-InputPrompt {
+  min-width: calc(var(--jp-cell-prompt-width) * 0.75);
+}
+
+.jp-ActiveCellTool-CellContent > pre {
+  padding: 5px 4px;
+  margin: 0;
+  white-space: normal;
 }
 
 .jp-MetadataEditorTool {
   flex-direction: column;
-  padding: 12px 0px 12px 0px;
+  padding: 12px 0;
 }
 
 .jp-RankedPanel > :not(:first-child) {
@@ -14444,13 +6674,19 @@
 }
 
 .jp-KeySelector label,
-.jp-MetadataEditorTool label {
+.jp-MetadataEditorTool label,
+.jp-NumberSetter label {
   line-height: 1.4;
 }
 
 .jp-NotebookTools .jp-select-wrapper {
   margin-top: 4px;
-  margin-bottom: 0px;
+  margin-bottom: 0;
+}
+
+.jp-NumberSetter input {
+  width: 100%;
+  margin-top: 4px;
 }
 
 .jp-NotebookTools .jp-Collapse {
@@ -14474,11 +6710,6 @@
 /*-----------------------------------------------------------------------------
 | Side-by-side Mode (.jp-mod-sideBySide)
 |----------------------------------------------------------------------------*/
-:root {
-  --jp-side-by-side-output-size: 1fr;
-  --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
-}
-
 .jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
   margin-top: 3em;
   margin-bottom: 3em;
@@ -14590,10 +6821,6 @@
   background-repeat: no-repeat;
   background-size: 800px 104px;
   height: 104px;
-  position: relative;
-}
-
-.jp-Cell-Placeholder-wrapper-body div {
   position: absolute;
   right: 15px;
   left: 15px;
@@ -14635,8 +6862,7 @@
 }
 
 </style>
-
-    <style type="text/css">
+<style type="text/css">
 /*-----------------------------------------------------------------------------
 | Copyright (c) Jupyter Development Team.
 | Distributed under the terms of the Modified BSD License.
@@ -14692,33 +6918,33 @@
     0.12
   );
   --jp-elevation-z0: none;
-  --jp-elevation-z1: 0px 2px 1px -1px var(--jp-shadow-umbra-color),
-    0px 1px 1px 0px var(--jp-shadow-penumbra-color),
-    0px 1px 3px 0px var(--jp-shadow-ambient-color);
-  --jp-elevation-z2: 0px 3px 1px -2px var(--jp-shadow-umbra-color),
-    0px 2px 2px 0px var(--jp-shadow-penumbra-color),
-    0px 1px 5px 0px var(--jp-shadow-ambient-color);
-  --jp-elevation-z4: 0px 2px 4px -1px var(--jp-shadow-umbra-color),
-    0px 4px 5px 0px var(--jp-shadow-penumbra-color),
-    0px 1px 10px 0px var(--jp-shadow-ambient-color);
-  --jp-elevation-z6: 0px 3px 5px -1px var(--jp-shadow-umbra-color),
-    0px 6px 10px 0px var(--jp-shadow-penumbra-color),
-    0px 1px 18px 0px var(--jp-shadow-ambient-color);
-  --jp-elevation-z8: 0px 5px 5px -3px var(--jp-shadow-umbra-color),
-    0px 8px 10px 1px var(--jp-shadow-penumbra-color),
-    0px 3px 14px 2px var(--jp-shadow-ambient-color);
-  --jp-elevation-z12: 0px 7px 8px -4px var(--jp-shadow-umbra-color),
-    0px 12px 17px 2px var(--jp-shadow-penumbra-color),
-    0px 5px 22px 4px var(--jp-shadow-ambient-color);
-  --jp-elevation-z16: 0px 8px 10px -5px var(--jp-shadow-umbra-color),
-    0px 16px 24px 2px var(--jp-shadow-penumbra-color),
-    0px 6px 30px 5px var(--jp-shadow-ambient-color);
-  --jp-elevation-z20: 0px 10px 13px -6px var(--jp-shadow-umbra-color),
-    0px 20px 31px 3px var(--jp-shadow-penumbra-color),
-    0px 8px 38px 7px var(--jp-shadow-ambient-color);
-  --jp-elevation-z24: 0px 11px 15px -7px var(--jp-shadow-umbra-color),
-    0px 24px 38px 3px var(--jp-shadow-penumbra-color),
-    0px 9px 46px 8px var(--jp-shadow-ambient-color);
+  --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
+    0 1px 1px 0 var(--jp-shadow-penumbra-color),
+    0 1px 3px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
+    0 2px 2px 0 var(--jp-shadow-penumbra-color),
+    0 1px 5px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
+    0 4px 5px 0 var(--jp-shadow-penumbra-color),
+    0 1px 10px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
+    0 6px 10px 0 var(--jp-shadow-penumbra-color),
+    0 1px 18px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
+    0 8px 10px 1px var(--jp-shadow-penumbra-color),
+    0 3px 14px 2px var(--jp-shadow-ambient-color);
+  --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
+    0 12px 17px 2px var(--jp-shadow-penumbra-color),
+    0 5px 22px 4px var(--jp-shadow-ambient-color);
+  --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
+    0 16px 24px 2px var(--jp-shadow-penumbra-color),
+    0 6px 30px 5px var(--jp-shadow-ambient-color);
+  --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
+    0 20px 31px 3px var(--jp-shadow-penumbra-color),
+    0 8px 38px 7px var(--jp-shadow-ambient-color);
+  --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
+    0 24px 38px 3px var(--jp-shadow-penumbra-color),
+    0 9px 46px 8px var(--jp-shadow-ambient-color);
 
   /* Borders
    *
@@ -14748,9 +6974,9 @@
   --jp-ui-font-size1: 13px; /* Base font size */
   --jp-ui-font-size2: 1.2em;
   --jp-ui-font-size3: 1.44em;
-
-  --jp-ui-font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Helvetica,
-    Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol';
+  --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
+    helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
+    'Segoe UI Symbol';
 
   /*
    * Use these font colors against the corresponding main layout colors.
@@ -14793,7 +7019,6 @@
 
   /* This gives a magnification of about 125% in presentation mode over normal. */
   --jp-content-presentation-font-size1: 17px;
-
   --jp-content-heading-line-height: 1;
   --jp-content-heading-margin-top: 1.2em;
   --jp-content-heading-margin-bottom: 0.8em;
@@ -14804,12 +7029,10 @@
   --jp-content-font-color1: rgba(0, 0, 0, 0.87);
   --jp-content-font-color2: rgba(0, 0, 0, 0.54);
   --jp-content-font-color3: rgba(0, 0, 0, 0.38);
-
-  --jp-content-link-color: var(--md-blue-700);
-
-  --jp-content-font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI',
-    Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
-    'Segoe UI Symbol';
+  --jp-content-link-color: var(--md-blue-900);
+  --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
+    'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
+    'Segoe UI Emoji', 'Segoe UI Symbol';
 
   /*
    * Code Fonts
@@ -14820,7 +7043,7 @@
   --jp-code-font-size: 13px;
   --jp-code-line-height: 1.3077; /* 17px for 13px base */
   --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
-  --jp-code-font-family-default: Menlo, Consolas, 'DejaVu Sans Mono', monospace;
+  --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
   --jp-code-font-family: var(--jp-code-font-family-default);
 
   /* This gives a magnification of about 125% in presentation mode over normal. */
@@ -14849,7 +7072,7 @@
    * theme these would go from dark to light.
    */
 
-  --jp-inverse-layout-color0: #111111;
+  --jp-inverse-layout-color0: #111;
   --jp-inverse-layout-color1: var(--md-grey-900);
   --jp-inverse-layout-color2: var(--md-grey-800);
   --jp-inverse-layout-color3: var(--md-grey-700);
@@ -14862,7 +7085,6 @@
   --jp-brand-color2: var(--md-blue-300);
   --jp-brand-color3: var(--md-blue-100);
   --jp-brand-color4: var(--md-blue-50);
-
   --jp-accent-color0: var(--md-green-900);
   --jp-accent-color1: var(--md-green-700);
   --jp-accent-color2: var(--md-green-300);
@@ -14874,17 +7096,14 @@
   --jp-warn-color1: var(--md-orange-700);
   --jp-warn-color2: var(--md-orange-300);
   --jp-warn-color3: var(--md-orange-100);
-
   --jp-error-color0: var(--md-red-900);
   --jp-error-color1: var(--md-red-700);
   --jp-error-color2: var(--md-red-300);
   --jp-error-color3: var(--md-red-100);
-
   --jp-success-color0: var(--md-green-900);
   --jp-success-color1: var(--md-green-700);
   --jp-success-color2: var(--md-green-300);
   --jp-success-color3: var(--md-green-100);
-
   --jp-info-color0: var(--md-cyan-900);
   --jp-info-color1: var(--md-cyan-700);
   --jp-info-color2: var(--md-cyan-300);
@@ -14893,26 +7112,25 @@
   /* Cell specific styles */
 
   --jp-cell-padding: 5px;
-
   --jp-cell-collapser-width: 8px;
   --jp-cell-collapser-min-height: 20px;
   --jp-cell-collapser-not-active-hover-opacity: 0.6;
-
   --jp-cell-editor-background: var(--md-grey-100);
   --jp-cell-editor-border-color: var(--md-grey-300);
   --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
   --jp-cell-editor-active-background: var(--jp-layout-color0);
   --jp-cell-editor-active-border-color: var(--jp-brand-color1);
-
   --jp-cell-prompt-width: 64px;
   --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
-  --jp-cell-prompt-letter-spacing: 0px;
+  --jp-cell-prompt-letter-spacing: 0;
   --jp-cell-prompt-opacity: 1;
   --jp-cell-prompt-not-active-opacity: 0.5;
   --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
+
   /* A custom blend of MD grey and blue 600
    * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
   --jp-cell-inprompt-font-color: #307fc1;
+
   /* A custom blend of MD grey and orange 600
    * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
   --jp-cell-outprompt-font-color: #bf5b3d;
@@ -14953,8 +7171,8 @@
   --jp-toolbar-border-color: var(--jp-border-color1);
   --jp-toolbar-micro-height: 8px;
   --jp-toolbar-background: var(--jp-layout-color1);
-  --jp-toolbar-box-shadow: 0px 0px 2px 0px rgba(0, 0, 0, 0.24);
-  --jp-toolbar-header-margin: 4px 4px 0px 4px;
+  --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
+  --jp-toolbar-header-margin: 4px 4px 0 4px;
   --jp-toolbar-active-background: var(--md-grey-300);
 
   /* Statusbar specific styles */
@@ -14984,15 +7202,15 @@
   --jp-mirror-editor-number-color: #080;
   --jp-mirror-editor-def-color: #00f;
   --jp-mirror-editor-variable-color: var(--md-grey-900);
-  --jp-mirror-editor-variable-2-color: #05a;
+  --jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
   --jp-mirror-editor-variable-3-color: #085;
   --jp-mirror-editor-punctuation-color: #05a;
   --jp-mirror-editor-property-color: #05a;
-  --jp-mirror-editor-operator-color: #aa22ff;
+  --jp-mirror-editor-operator-color: #a2f;
   --jp-mirror-editor-comment-color: #408080;
   --jp-mirror-editor-string-color: #ba2121;
   --jp-mirror-editor-string-2-color: #708;
-  --jp-mirror-editor-meta-color: #aa22ff;
+  --jp-mirror-editor-meta-color: #a2f;
   --jp-mirror-editor-qualifier-color: #555;
   --jp-mirror-editor-builtin-color: #008000;
   --jp-mirror-editor-bracket-color: #997;
@@ -15044,6 +7262,17 @@
   --jp-icon-contrast-color2: var(--md-pink-600);
   --jp-icon-contrast-color3: var(--md-blue-600);
 
+  /* Button colors */
+  --jp-accept-color-normal: var(--md-blue-700);
+  --jp-accept-color-hover: var(--md-blue-800);
+  --jp-accept-color-active: var(--md-blue-900);
+  --jp-warn-color-normal: var(--md-red-700);
+  --jp-warn-color-hover: var(--md-red-800);
+  --jp-warn-color-active: var(--md-red-900);
+  --jp-reject-color-normal: var(--md-grey-600);
+  --jp-reject-color-hover: var(--md-grey-700);
+  --jp-reject-color-active: var(--md-grey-800);
+
   /* File or activity icons and switch semantic variables */
   --jp-jupyter-icon-color: #f37626;
   --jp-notebook-icon-color: #f37626;
@@ -15058,7 +7287,6 @@
   --jp-switch-true-position-color: var(--md-orange-900);
 }
 </style>
-
 <style type="text/css">
 .qr-code {
     min-width: 225px;
@@ -15110,7 +7338,6 @@
   }
 }
 </style>
-
 <style type="text/css">
 /* Overrides of notebook CSS for static HTML export */
 .reveal {
@@ -15179,6 +7406,10 @@
   box-shadow: none;
 }
 
+main {
+  height: 100%;
+}
+
 /* Reveal navigation controls */
 
 .reveal .controls .navigate-left,
@@ -15230,11 +7461,10 @@
   background: #727272 !important;
 }
 </style>
-
 <!-- Load mathjax -->
-    <script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
-    <!-- MathJax configuration -->
-    <script type="text/x-mathjax-config">
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
+<!-- MathJax configuration -->
+<script type="text/x-mathjax-config">
     init_mathjax = function() {
         if (window.MathJax) {
         // MathJax loaded
@@ -15264,192 +7494,169 @@
     }
     init_mathjax();
     </script>
-    <!-- End of mathjax configuration --></head>
-
+<!-- End of mathjax configuration --></link></head>
 <body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
-
 <div class="reveal">
 <div class="footer" style="padding: 4px; font-size: 22px;">
-    Introduction to Data Analysis Using Pandas &ndash; Stefanie Molin
+    Introduction to Data Analysis Using Pandas – Stefanie Molin
     <div style="float: right; margin-top: -18px;">
-        <a href="https://stefaniemolin.com/say-thanks/"
-          style="z-index: 1;" target="_blank">
-          <img alt="Ways to show appreciation for this content."
-                style="max-width: 100%; margin: 20px 0 0 0;" src="https://img.shields.io/badge/liked_this%3F-say_thanks-gray?logoColor=yellow&color=blue">
-        </a>
-        <a href="https://codespaces.new/stefmolin/pandas-workshop"
-            style="z-index: 1;" target="_blank" rel="noopener noreferrer"
-        >
-            <img src="https://img.shields.io/badge/open-codespace-black?logo=github"
-                alt="Open in GitHub Codespaces"
-                style="max-width: 100%; margin: 20px 0 0 0;">
-        </a>
-        <a href="https://github.com/stefmolin/pandas-workshop" style="z-index: 1;" target="_blank" rel="noopener noreferrer">
-            <img alt="View repo on GitHub" src="https://img.shields.io/badge/view-repo-orange?logo=github" style="max-width: 100%; margin: 20px 0 0 0;">
-        </a>
-        <a href="http://creativecommons.org/licenses/by-nc-sa/4.0/" style="z-index: 1;" target="_blank" rel="noopener noreferrer">
-            <img alt="CC BY-NC-SA 4.0" src="https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg" style="max-width: 100%; margin: 20px 0 0 0;">
-        </a>
-    </div>
-    <!-- here's an alternate clock location under title
+<a href="https://stefaniemolin.com/say-thanks/" style="z-index: 1;" target="_blank">
+<img alt="Ways to show appreciation for this content." src="https://img.shields.io/badge/liked_this%3F-say_thanks-gray?logoColor=yellow&amp;color=blue" style="max-width: 100%; margin: 20px 0 0 0;"/>
+</a>
+<a href="https://codespaces.new/stefmolin/pandas-workshop" rel="noopener noreferrer" style="z-index: 1;" target="_blank">
+<img alt="Open in GitHub Codespaces" src="https://img.shields.io/badge/open-codespace-black?logo=github" style="max-width: 100%; margin: 20px 0 0 0;"/>
+</a>
+<a href="https://github.com/stefmolin/pandas-workshop" rel="noopener noreferrer" style="z-index: 1;" target="_blank">
+<img alt="View repo on GitHub" src="https://img.shields.io/badge/view-repo-orange?logo=github" style="max-width: 100%; margin: 20px 0 0 0;"/>
+</a>
+<a href="http://creativecommons.org/licenses/by-nc-sa/4.0/" rel="noopener noreferrer" style="z-index: 1;" target="_blank">
+<img alt="CC BY-NC-SA 4.0" src="https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg" style="max-width: 100%; margin: 20px 0 0 0;"/>
+</a>
+</div>
+<!-- here's an alternate clock location under title
         <div class="clock" style="margin-right: 5px; position: absolute; top: 40px;"></div>
     -->
-    <div class="clock" style="margin-right: 5px; float: right;"></div>
+<div class="clock" style="margin-right: 5px; float: right;"></div>
 </div>
-<div class="slides"><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+<div class="slides"><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=8b7dfb40-1ef0-4621-89c3-87c5b226c023">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_intro" data-mime-type="text/markdown">
-<h1 id="Introduction-to-Data-Analysis-Using-Pandas">Introduction to Data Analysis Using Pandas<a class="anchor-link" href="#Introduction-to-Data-Analysis-Using-Pandas">&#182;</a></h1><h3 id="Stefanie-Molin">Stefanie Molin<a class="anchor-link" href="#Stefanie-Molin">&#182;</a></h3>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_intro" data-mime-type="text/markdown">
+<h1 id="Introduction-to-Data-Analysis-Using-Pandas">Introduction to Data Analysis Using Pandas<a class="anchor-link" href="#Introduction-to-Data-Analysis-Using-Pandas">¶</a></h1><h3 id="Stefanie-Molin">Stefanie Molin<a class="anchor-link" href="#Stefanie-Molin">¶</a></h3>
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
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+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=d4e1f7fe-9777-477f-b361-08e448f03af7">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_bio" data-mime-type="text/markdown">
-<h2 id="Bio">Bio<a class="anchor-link" href="#Bio">&#182;</a></h2><ul>
-<li>Software engineer and data scientist at Bloomberg in New York City</li>
-<li>Working in information security</li>
-<li>Author of <a href="https://www.amazon.com/Hands-Data-Analysis-Pandas-visualization-dp-1800563450/dp/1800563450/">Hands-On Data Analysis with Pandas</a> (currently in its second edition; translated into Korean)</li>
-<li>BS in operations research from Columbia University</li>
-<li>MS in computer science (ML specialization) from Georgia Tech</li>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_bio" data-mime-type="text/markdown">
+<h2 id="Bio">Bio<a class="anchor-link" href="#Bio">¶</a></h2><ul>
+<li>👩‍💻 Software engineer at Bloomberg in NYC</li>
+<li>🚀 Core developer of <a href="https://github.com/numpy/numpydoc">numpydoc</a></li>
+<li>✍️ Author of <a href="https://www.amazon.com/Hands-Data-Analysis-Pandas-visualization-dp-1800563450/dp/1800563450/">Hands-On Data Analysis with Pandas</a> (currently in its second edition; translated into Korean and Simplified Chinese)</li>
+<li>🎓 BS in operations research from Columbia University</li>
+<li>🎓 MS in computer science (ML specialization) from Georgia Tech</li>
 </ul>
-
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+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=0345e6e4-5c39-4c57-96d5-4b3980fe2e67">
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-<h3 id="Prerequisites">Prerequisites<a class="anchor-link" href="#Prerequisites">&#182;</a></h3><ul>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_prerequisites" data-mime-type="text/markdown">
+<h3 id="Prerequisites">Prerequisites<a class="anchor-link" href="#Prerequisites">¶</a></h3><ul>
 <li>To follow along with this workshop, you will need to either configure a local environment or use a cloud solution like GitHub Codespaces. Consult the <a href="https://github.com/stefmolin/pandas-workshop#setup-instructions">README</a> for step-by-step setup instructions.</li>
 <li>In addition, you should have basic knowledge of Python and be comfortable working in Jupyter Notebooks; if not, check out the resources <a href="https://github.com/stefmolin/pandas-workshop#prerequisites">here</a> to get up to speed.</li>
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-<h3 id="Session-Outline">Session Outline<a class="anchor-link" href="#Session-Outline">&#182;</a></h3><ol>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_session-outline" data-mime-type="text/markdown">
+<h3 id="Session-Outline">Session Outline<a class="anchor-link" href="#Session-Outline">¶</a></h3><ol>
 <li>Getting Started With Pandas</li>
 <li>Data Wrangling</li>
 <li>Data Visualization</li>
 <li>Hands-On Data Analysis Lab</li>
 </ol>
-
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-</div></section></section><section ><section >
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+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=def73df3-56b3-45a1-a157-2bb3488abef9">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-<h2 id="Let's-get-started">Let's get started<a class="anchor-link" href="#Let's-get-started">&#182;</a></h2><p><em>Be sure to follow along in the <a href="https://github.com/stefmolin/pandas-workshop/tree/main/notebooks">notebooks</a>.</em></p>
-<img width="30%" src="https://www.pngkey.com/png/detail/42-428839_silhouette-face-bamboo-cartoon-wild-bear-cute-panda.png" alt="Silhouette, Face, Bamboo, Cartoon, Wild, Bear, Cute - Panda Black And White@pngkey.com" style="min-width: 300px">
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_follow-along" data-mime-type="text/markdown">
+<h2 id="Let's-get-started">Let's get started<a class="anchor-link" href="#Let's-get-started">¶</a></h2><p><em>Be sure to follow along in the <a href="https://github.com/stefmolin/pandas-workshop/tree/main/notebooks">notebooks</a>.</em></p>
+<img alt="Silhouette, Face, Bamboo, Cartoon, Wild, Bear, Cute - Panda Black And White@pngkey.com" src="https://www.pngkey.com/png/detail/42-428839_silhouette-face-bamboo-cartoon-wild-bear-cute-panda.png" style="min-width: 300px" width="30%"/>
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+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=2c0397e0-4592-48dd-90d9-6a6dc95be2f9">
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-<h1 id="Section-1:-Getting-Started-With-Pandas">Section 1: Getting Started With Pandas<a class="anchor-link" href="#Section-1:-Getting-Started-With-Pandas">&#182;</a></h1><p>We will begin by introducing the <code>Series</code>, <code>DataFrame</code>, and <code>Index</code> classes, which are the basic building blocks of the pandas library, and showing how to work with them. By the end of this section, you will be able to create DataFrames and perform operations on them to inspect and filter the data.</p>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_section-1" data-mime-type="text/markdown">
+<h1 id="Section-1:-Getting-Started-With-Pandas">Section 1: Getting Started With Pandas<a class="anchor-link" href="#Section-1:-Getting-Started-With-Pandas">¶</a></h1><p>We will begin by introducing the <code>Series</code>, <code>DataFrame</code>, and <code>Index</code> classes, which are the basic building blocks of the pandas library, and showing how to work with them. By the end of this section, you will be able to create DataFrames and perform operations on them to inspect and filter the data.</p>
 <div style="text-align: center;">
-    <img width="40%" src="https://hips.hearstapps.com/elleuk.cdnds.net/16/36/3200x1599/gallery-1473083573-pandas.jpg" alt="Waving panda" style="min-width: 400px">
-    <div><small><em><a href="https://www.elle.com/uk/life-and-culture/culture/news/a31745/10-ways-to-celebrate-pandas-no-longer-being-endangered/">Source</a></em></small></div>
+<img alt="Waving panda" src="https://hips.hearstapps.com/elleuk.cdnds.net/16/36/3200x1599/gallery-1473083573-pandas.jpg" style="min-width: 400px" width="40%"/>
+<div><small><em><a href="https://www.elle.com/uk/life-and-culture/culture/news/a31745/10-ways-to-celebrate-pandas-no-longer-being-endangered/">Source</a></em></small></div>
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+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=5db14205-a9b1-4f2e-ab73-1735d287c6b8">
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-<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">&#182;</a></h2><ol>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">¶</a></h2><ol>
 <li><strong>Anatomy of a DataFrame</strong></li>
 <li>Creating DataFrames</li>
 <li>Inspecting the data</li>
 <li>Extracting subsets</li>
 <li>Calculating summary statistics</li>
 </ol>
-
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-<h2 id="Anatomy-of-a-DataFrame">Anatomy of a DataFrame<a class="anchor-link" href="#Anatomy-of-a-DataFrame">&#182;</a></h2><p>A <strong>DataFrame</strong> is composed of one or more <strong>Series</strong>. The names of the <strong>Series</strong> form the column names, and the row labels form the <strong>Index</strong>.</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_anatomy-of-a-dataframe" data-mime-type="text/markdown">
+<h2 id="Anatomy-of-a-DataFrame">Anatomy of a DataFrame<a class="anchor-link" href="#Anatomy-of-a-DataFrame">¶</a></h2><p>A <strong>DataFrame</strong> is composed of one or more <strong>Series</strong>. The names of the <strong>Series</strong> form the column names, and the row labels form the <strong>Index</strong>.</p>
 </div>
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[1]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
 
-<span class="n">meteorites</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;../data/Meteorite_Landings.csv&#39;</span><span class="p">,</span> <span class="n">nrows</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
+<span class="n">meteorites</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">'../data/Meteorite_Landings.csv'</span><span class="p">,</span> <span class="n">nrows</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
 <span class="n">meteorites</span>
 </pre></div>
-
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-      <td>-33.16667</td>
-      <td>-64.95000</td>
-      <td>(-33.16667, -64.95)</td>
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><em>Source: <a href="https://data.nasa.gov/Space-Science/Meteorite-Landings/gh4g-9sfh">NASA's Open Data Portal</a></em></p>
-
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+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">name</span>
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 <pre>0      Aachen
 1      Aarhus
 2        Abee
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+       'reclat', 'reclong', 'GeoLocation'],
+      dtype='object')</pre>
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-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_creating-dataframes" data-mime-type="text/markdown">
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_read-csv" data-mime-type="text/markdown">
+<h3 id="Using-a-flat-file">Using a flat file<a class="anchor-link" href="#Using-a-flat-file">¶</a></h3>
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+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=4eed5d04-aec5-4862-85d0-60b3067711de">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[5]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [5]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
 
-<span class="n">meteorites</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;../data/Meteorite_Landings.csv&#39;</span><span class="p">)</span>
+<span class="n">meteorites</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">'../data/Meteorite_Landings.csv'</span><span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div>
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=4c12ce67-b1de-40a9-ad22-b39125f6b9cc">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_api-request" data-mime-type="text/markdown">
-<h3 id="Using-data-from-an-API">Using data from an API<a class="anchor-link" href="#Using-data-from-an-API">&#182;</a></h3><p>Collect the data from <a href="https://data.nasa.gov/Space-Science/Meteorite-Landings/gh4g-9sfh">NASA's Open Data Portal</a> using the Socrata Open Data API (SODA) with the <code>requests</code> library:</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_api-request" data-mime-type="text/markdown">
+<h3 id="Using-data-from-an-API">Using data from an API<a class="anchor-link" href="#Using-data-from-an-API">¶</a></h3><p>Collect the data from <a href="https://data.nasa.gov/Space-Science/Meteorite-Landings/gh4g-9sfh">NASA's Open Data Portal</a> using the Socrata Open Data API (SODA) with the <code>requests</code> library:</p>
 </div>
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-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
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+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=f1b681d4-e59f-4037-abcd-e48614691c9f">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[6]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [6]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">requests</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">requests</span>
 
 <span class="n">response</span> <span class="o">=</span> <span class="n">requests</span><span class="o">.</span><span class="n">get</span><span class="p">(</span>
-    <span class="s1">&#39;https://data.nasa.gov/resource/gh4g-9sfh.json&#39;</span><span class="p">,</span>
-    <span class="n">params</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;$limit&#39;</span><span class="p">:</span> <span class="mi">50_000</span><span class="p">}</span>
+    <span class="s1">'https://data.nasa.gov/resource/gh4g-9sfh.json'</span><span class="p">,</span>
+    <span class="n">params</span><span class="o">=</span><span class="p">{</span><span class="s1">'$limit'</span><span class="p">:</span> <span class="mi">50_000</span><span class="p">}</span>
 <span class="p">)</span>
 
 <span class="k">if</span> <span class="n">response</span><span class="o">.</span><span class="n">ok</span><span class="p">:</span>
     <span class="n">payload</span> <span class="o">=</span> <span class="n">response</span><span class="o">.</span><span class="n">json</span><span class="p">()</span>
 <span class="k">else</span><span class="p">:</span>
-    <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;Request was not successful and returned code: </span><span class="si">{</span><span class="n">response</span><span class="o">.</span><span class="n">status_code</span><span class="si">}</span><span class="s1">.&#39;</span><span class="p">)</span>
+    <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Request was not successful and returned code: </span><span class="si">{</span><span class="n">response</span><span class="o">.</span><span class="n">status_code</span><span class="si">}</span><span class="s1">.'</span><span class="p">)</span>
     <span class="n">payload</span> <span class="o">=</span> <span class="kc">None</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div>
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=cceed83a-d7f8-4b38-b02d-20aa0b8e2afb">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_create-from-payload" data-mime-type="text/markdown">
 <p>Create the DataFrame with the resulting payload:</p>
-
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[7]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [7]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
 
 <span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">payload</span><span class="p">)</span>
 <span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
 </pre></div>
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-
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     .dataframe tbody tr th:only-of-type {
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@@ -15881,277 +8028,234 @@ <h3 id="Using-data-from-an-API">Using data from an API<a class="anchor-link" hre
     }
 </style>
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-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>name</th>
-      <th>id</th>
-      <th>nametype</th>
-      <th>recclass</th>
-      <th>mass</th>
-      <th>fall</th>
-      <th>year</th>
-      <th>reclat</th>
-      <th>reclong</th>
-      <th>geolocation</th>
-      <th>:@computed_region_cbhk_fwbd</th>
-      <th>:@computed_region_nnqa_25f4</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>0</th>
-      <td>Aachen</td>
-      <td>1</td>
-      <td>Valid</td>
-      <td>L5</td>
-      <td>21</td>
-      <td>Fell</td>
-      <td>1880-01-01T00:00:00.000</td>
-      <td>50.775000</td>
-      <td>6.083330</td>
-      <td>{'latitude': '50.775', 'longitude': '6.08333'}</td>
-      <td>NaN</td>
-      <td>NaN</td>
-    </tr>
-    <tr>
-      <th>1</th>
-      <td>Aarhus</td>
-      <td>2</td>
-      <td>Valid</td>
-      <td>H6</td>
-      <td>720</td>
-      <td>Fell</td>
-      <td>1951-01-01T00:00:00.000</td>
-      <td>56.183330</td>
-      <td>10.233330</td>
-      <td>{'latitude': '56.18333', 'longitude': '10.23333'}</td>
-      <td>NaN</td>
-      <td>NaN</td>
-    </tr>
-    <tr>
-      <th>2</th>
-      <td>Abee</td>
-      <td>6</td>
-      <td>Valid</td>
-      <td>EH4</td>
-      <td>107000</td>
-      <td>Fell</td>
-      <td>1952-01-01T00:00:00.000</td>
-      <td>54.216670</td>
-      <td>-113.000000</td>
-      <td>{'latitude': '54.21667', 'longitude': '-113.0'}</td>
-      <td>NaN</td>
-      <td>NaN</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>name</th>
+<th>id</th>
+<th>nametype</th>
+<th>recclass</th>
+<th>mass</th>
+<th>fall</th>
+<th>year</th>
+<th>reclat</th>
+<th>reclong</th>
+<th>geolocation</th>
+<th>:@computed_region_cbhk_fwbd</th>
+<th>:@computed_region_nnqa_25f4</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>0</th>
+<td>Aachen</td>
+<td>1</td>
+<td>Valid</td>
+<td>L5</td>
+<td>21</td>
+<td>Fell</td>
+<td>1880-01-01T00:00:00.000</td>
+<td>50.775000</td>
+<td>6.083330</td>
+<td>{'latitude': '50.775', 'longitude': '6.08333'}</td>
+<td>NaN</td>
+<td>NaN</td>
+</tr>
+<tr>
+<th>1</th>
+<td>Aarhus</td>
+<td>2</td>
+<td>Valid</td>
+<td>H6</td>
+<td>720</td>
+<td>Fell</td>
+<td>1951-01-01T00:00:00.000</td>
+<td>56.183330</td>
+<td>10.233330</td>
+<td>{'latitude': '56.18333', 'longitude': '10.23333'}</td>
+<td>NaN</td>
+<td>NaN</td>
+</tr>
+<tr>
+<th>2</th>
+<td>Abee</td>
+<td>6</td>
+<td>Valid</td>
+<td>EH4</td>
+<td>107000</td>
+<td>Fell</td>
+<td>1952-01-01T00:00:00.000</td>
+<td>54.216670</td>
+<td>-113.000000</td>
+<td>{'latitude': '54.21667', 'longitude': '-113.0'}</td>
+<td>NaN</td>
+<td>NaN</td>
+</tr>
+</tbody>
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 </div>
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-
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-
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-
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=20c5ca3a-bf32-48cc-8eb5-15fd678092e1">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><em>Tip: <code>df.to_csv('data.csv')</code> writes this data to a new file called <code>data.csv</code>.</em></p>
-
 </div>
 </div>
 </div>
-</div></div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=dd04b7e1-c083-44a7-988a-8c7c0ea15032">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">&#182;</a></h2><ol>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">¶</a></h2><ol>
 <li>Anatomy of a DataFrame</li>
 <li>Creating DataFrames</li>
 <li><strong>Inspecting the data</strong></li>
 <li>Extracting subsets</li>
 <li>Calculating summary statistics</li>
 </ol>
-
 </div>
 </div>
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-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f4364557-213a-4605-a8e9-d56d575e15db">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_inspecting-the-data" data-mime-type="text/markdown">
-<h2 id="Inspecting-the-data">Inspecting the data<a class="anchor-link" href="#Inspecting-the-data">&#182;</a></h2><p>Now that we have some data, we need to perform an initial inspection of it. This gives us information on what the data looks like, how many rows/columns there are, and how much data we have.</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_inspecting-the-data" data-mime-type="text/markdown">
+<h2 id="Inspecting-the-data">Inspecting the data<a class="anchor-link" href="#Inspecting-the-data">¶</a></h2><p>Now that we have some data, we need to perform an initial inspection of it. This gives us information on what the data looks like, how many rows/columns there are, and how much data we have.</p>
 </div>
 </div>
 </div>
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=b9cfcc92-e4b0-4dc8-91ed-4d097132f7be">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Let's inspect the <code>meteorites</code> data.</p>
-
 </div>
 </div>
 </div>
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=c56fc4d1-805d-46ff-8ebb-ba00f2df713b">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_rows-and-columns" data-mime-type="text/markdown">
-<h4 id="How-many-rows-and-columns-are-there?">How many rows and columns are there?<a class="anchor-link" href="#How-many-rows-and-columns-are-there?">&#182;</a></h4>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_rows-and-columns" data-mime-type="text/markdown">
+<h4 id="How-many-rows-and-columns-are-there?">How many rows and columns are there?<a class="anchor-link" href="#How-many-rows-and-columns-are-there?">¶</a></h4>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=24268ca3-aa52-491b-bc02-ed0a4d85be6f">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[8]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [8]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">shape</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">shape</span>
 </pre></div>
-
-     </div>
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 </div>
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-
+</div>
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-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[8]:</div>
-
-
-
-
-<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[8]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
 <pre>(45716, 10)</pre>
 </div>
-
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-
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-
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-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=9113617e-b071-467c-afda-9813c4c60801">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<h4 id="What-are-the-column-names?">What are the column names?<a class="anchor-link" href="#What-are-the-column-names?">&#182;</a></h4>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h4 id="What-are-the-column-names?">What are the column names?<a class="anchor-link" href="#What-are-the-column-names?">¶</a></h4>
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[9]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [9]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">columns</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">columns</span>
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-
-     </div>
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-
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-<pre>Index([&#39;name&#39;, &#39;id&#39;, &#39;nametype&#39;, &#39;recclass&#39;, &#39;mass (g)&#39;, &#39;fall&#39;, &#39;year&#39;,
-       &#39;reclat&#39;, &#39;reclong&#39;, &#39;GeoLocation&#39;],
-      dtype=&#39;object&#39;)</pre>
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[9]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>Index(['name', 'id', 'nametype', 'recclass', 'mass (g)', 'fall', 'year',
+       'reclat', 'reclong', 'GeoLocation'],
+      dtype='object')</pre>
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-
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_dtypes" data-mime-type="text/markdown">
+<h4 id="What-type-of-data-does-each-column-currently-hold?">What type of data does each column currently hold?<a class="anchor-link" href="#What-type-of-data-does-each-column-currently-hold?">¶</a></h4>
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-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">dtypes</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">dtypes</span>
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-
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+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[10]:</div>
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 <pre>name            object
 id               int64
 nametype        object
@@ -16164,55 +8268,43 @@ <h4 id="What-type-of-data-does-each-column-currently-hold?">What type of data do
 GeoLocation     object
 dtype: object</pre>
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-<h4 id="What-does-the-data-look-like?">What does the data look like?<a class="anchor-link" href="#What-does-the-data-look-like?">&#182;</a></h4>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_head" data-mime-type="text/markdown">
+<h4 id="What-does-the-data-look-like?">What does the data look like?<a class="anchor-link" href="#What-does-the-data-look-like?">¶</a></h4>
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+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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@@ -16226,141 +8318,128 @@ <h4 id="What-does-the-data-look-like?">What does the data look like?<a class="an
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>name</th>
-      <th>id</th>
-      <th>nametype</th>
-      <th>recclass</th>
-      <th>mass (g)</th>
-      <th>fall</th>
-      <th>year</th>
-      <th>reclat</th>
-      <th>reclong</th>
-      <th>GeoLocation</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>0</th>
-      <td>Aachen</td>
-      <td>1</td>
-      <td>Valid</td>
-      <td>L5</td>
-      <td>21.0</td>
-      <td>Fell</td>
-      <td>01/01/1880 12:00:00 AM</td>
-      <td>50.77500</td>
-      <td>6.08333</td>
-      <td>(50.775, 6.08333)</td>
-    </tr>
-    <tr>
-      <th>1</th>
-      <td>Aarhus</td>
-      <td>2</td>
-      <td>Valid</td>
-      <td>H6</td>
-      <td>720.0</td>
-      <td>Fell</td>
-      <td>01/01/1951 12:00:00 AM</td>
-      <td>56.18333</td>
-      <td>10.23333</td>
-      <td>(56.18333, 10.23333)</td>
-    </tr>
-    <tr>
-      <th>2</th>
-      <td>Abee</td>
-      <td>6</td>
-      <td>Valid</td>
-      <td>EH4</td>
-      <td>107000.0</td>
-      <td>Fell</td>
-      <td>01/01/1952 12:00:00 AM</td>
-      <td>54.21667</td>
-      <td>-113.00000</td>
-      <td>(54.21667, -113.0)</td>
-    </tr>
-    <tr>
-      <th>3</th>
-      <td>Acapulco</td>
-      <td>10</td>
-      <td>Valid</td>
-      <td>Acapulcoite</td>
-      <td>1914.0</td>
-      <td>Fell</td>
-      <td>01/01/1976 12:00:00 AM</td>
-      <td>16.88333</td>
-      <td>-99.90000</td>
-      <td>(16.88333, -99.9)</td>
-    </tr>
-    <tr>
-      <th>4</th>
-      <td>Achiras</td>
-      <td>370</td>
-      <td>Valid</td>
-      <td>L6</td>
-      <td>780.0</td>
-      <td>Fell</td>
-      <td>01/01/1902 12:00:00 AM</td>
-      <td>-33.16667</td>
-      <td>-64.95000</td>
-      <td>(-33.16667, -64.95)</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>name</th>
+<th>id</th>
+<th>nametype</th>
+<th>recclass</th>
+<th>mass (g)</th>
+<th>fall</th>
+<th>year</th>
+<th>reclat</th>
+<th>reclong</th>
+<th>GeoLocation</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>0</th>
+<td>Aachen</td>
+<td>1</td>
+<td>Valid</td>
+<td>L5</td>
+<td>21.0</td>
+<td>Fell</td>
+<td>01/01/1880 12:00:00 AM</td>
+<td>50.77500</td>
+<td>6.08333</td>
+<td>(50.775, 6.08333)</td>
+</tr>
+<tr>
+<th>1</th>
+<td>Aarhus</td>
+<td>2</td>
+<td>Valid</td>
+<td>H6</td>
+<td>720.0</td>
+<td>Fell</td>
+<td>01/01/1951 12:00:00 AM</td>
+<td>56.18333</td>
+<td>10.23333</td>
+<td>(56.18333, 10.23333)</td>
+</tr>
+<tr>
+<th>2</th>
+<td>Abee</td>
+<td>6</td>
+<td>Valid</td>
+<td>EH4</td>
+<td>107000.0</td>
+<td>Fell</td>
+<td>01/01/1952 12:00:00 AM</td>
+<td>54.21667</td>
+<td>-113.00000</td>
+<td>(54.21667, -113.0)</td>
+</tr>
+<tr>
+<th>3</th>
+<td>Acapulco</td>
+<td>10</td>
+<td>Valid</td>
+<td>Acapulcoite</td>
+<td>1914.0</td>
+<td>Fell</td>
+<td>01/01/1976 12:00:00 AM</td>
+<td>16.88333</td>
+<td>-99.90000</td>
+<td>(16.88333, -99.9)</td>
+</tr>
+<tr>
+<th>4</th>
+<td>Achiras</td>
+<td>370</td>
+<td>Valid</td>
+<td>L6</td>
+<td>780.0</td>
+<td>Fell</td>
+<td>01/01/1902 12:00:00 AM</td>
+<td>-33.16667</td>
+<td>-64.95000</td>
+<td>(-33.16667, -64.95)</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=08c22017-6e52-4ab4-bc90-8f955ef2be0a">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_tail" data-mime-type="text/markdown">
 <p>Sometimes there may be extraneous data at the end of the file, so checking the bottom few rows is also important:</p>
-
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-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
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+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=94e84ed2-4022-4a65-9e4e-865b8bd4b04b">
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[12]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [12]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">tail</span><span class="p">()</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">tail</span><span class="p">()</span>
 </pre></div>
-
-     </div>
 </div>
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-
+</div>
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-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[12]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[12]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
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@@ -16374,138 +8453,127 @@ <h4 id="What-does-the-data-look-like?">What does the data look like?<a class="an
     }
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-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>name</th>
-      <th>id</th>
-      <th>nametype</th>
-      <th>recclass</th>
-      <th>mass (g)</th>
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-      <th>year</th>
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-      <th>reclong</th>
-      <th>GeoLocation</th>
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-      <td>(13.78333, 8.96667)</td>
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-      <td>(49.78917, 41.5046)</td>
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-    <tr>
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-      <td>Found</td>
-      <td>01/01/1976 12:00:00 AM</td>
-      <td>33.98333</td>
-      <td>-115.68333</td>
-      <td>(33.98333, -115.68333)</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>name</th>
+<th>id</th>
+<th>nametype</th>
+<th>recclass</th>
+<th>mass (g)</th>
+<th>fall</th>
+<th>year</th>
+<th>reclat</th>
+<th>reclong</th>
+<th>GeoLocation</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>45711</th>
+<td>Zillah 002</td>
+<td>31356</td>
+<td>Valid</td>
+<td>Eucrite</td>
+<td>172.0</td>
+<td>Found</td>
+<td>01/01/1990 12:00:00 AM</td>
+<td>29.03700</td>
+<td>17.01850</td>
+<td>(29.037, 17.0185)</td>
+</tr>
+<tr>
+<th>45712</th>
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+<td>30409</td>
+<td>Valid</td>
+<td>Pallasite, ungrouped</td>
+<td>46.0</td>
+<td>Found</td>
+<td>01/01/1999 12:00:00 AM</td>
+<td>13.78333</td>
+<td>8.96667</td>
+<td>(13.78333, 8.96667)</td>
+</tr>
+<tr>
+<th>45713</th>
+<td>Zlin</td>
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+<td>Found</td>
+<td>01/01/1939 12:00:00 AM</td>
+<td>49.25000</td>
+<td>17.66667</td>
+<td>(49.25, 17.66667)</td>
+</tr>
+<tr>
+<th>45714</th>
+<td>Zubkovsky</td>
+<td>31357</td>
+<td>Valid</td>
+<td>L6</td>
+<td>2167.0</td>
+<td>Found</td>
+<td>01/01/2003 12:00:00 AM</td>
+<td>49.78917</td>
+<td>41.50460</td>
+<td>(49.78917, 41.5046)</td>
+</tr>
+<tr>
+<th>45715</th>
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+<td>Valid</td>
+<td>L3.7</td>
+<td>200.0</td>
+<td>Found</td>
+<td>01/01/1976 12:00:00 AM</td>
+<td>33.98333</td>
+<td>-115.68333</td>
+<td>(33.98333, -115.68333)</td>
+</tr>
+</tbody>
 </table>
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-
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-
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-
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-
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-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=1923d7f7-8974-475f-a7cf-eb2067d3d35d">
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-<h4 id="Get-some-information-about-the-DataFrame">Get some information about the DataFrame<a class="anchor-link" href="#Get-some-information-about-the-DataFrame">&#182;</a></h4>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_info-method" data-mime-type="text/markdown">
+<h4 id="Get-some-information-about-the-DataFrame">Get some information about the DataFrame<a class="anchor-link" href="#Get-some-information-about-the-DataFrame">¶</a></h4>
 </div>
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-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=befbd207-284a-4c4f-8617-ff155989ad5f">
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[13]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [13]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
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-
-     </div>
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-
+</div>
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+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
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 RangeIndex: 45716 entries, 0 to 45715
 Data columns (total 10 columns):
  #   Column       Non-Null Count  Dtype  
@@ -16525,78 +8593,67 @@ <h4 id="Get-some-information-about-the-DataFrame">Get some information about the
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-
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-
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-
-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=6a56f10e-6c16-48ac-a55c-99e63f8ca2e3">
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_exercises-section-1-part-1" data-mime-type="text/markdown">
+<h3 id="Exercise-1.1">Exercise 1.1<a class="anchor-link" href="#Exercise-1.1">¶</a></h3><h5 id="Create-a-DataFrame-by-reading-in-the-2019_Yellow_Taxi_Trip_Data.csv-file.-Examine-the-first-5-rows.">Create a DataFrame by reading in the <code>2019_Yellow_Taxi_Trip_Data.csv</code> file. Examine the first 5 rows.<a class="anchor-link" href="#Create-a-DataFrame-by-reading-in-the-2019_Yellow_Taxi_Trip_Data.csv-file.-Examine-the-first-5-rows.">¶</a></h5><h3 id="Exercise-1.2">Exercise 1.2<a class="anchor-link" href="#Exercise-1.2">¶</a></h3><h5 id="Find-the-dimensions-(number-of-rows-and-number-of-columns)-in-the-data.">Find the dimensions (number of rows and number of columns) in the data.<a class="anchor-link" href="#Find-the-dimensions-(number-of-rows-and-number-of-columns)-in-the-data.">¶</a></h5>
 </div>
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+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=901a1bc8-ce7e-42cb-a9c7-3f156569040a">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-<h3 id="Solutions">Solutions<a class="anchor-link" href="#Solutions">&#182;</a></h3>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_solutions-section-1-part-1" data-mime-type="text/markdown">
+<h3 id="Solutions">Solutions<a class="anchor-link" href="#Solutions">¶</a></h3>
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-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
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+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=d6f2da22-9093-4442-b96d-6273c0f40e15">
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-<h5 id="Exercise-1.1-%E2%80%93-Create-a-DataFrame-by-reading-in-the-2019_Yellow_Taxi_Trip_Data.csv-file.-Examine-the-first-5-rows:">Exercise 1.1 &#8211; Create a DataFrame by reading in the <code>2019_Yellow_Taxi_Trip_Data.csv</code> file. Examine the first 5 rows:<a class="anchor-link" href="#Exercise-1.1-%E2%80%93-Create-a-DataFrame-by-reading-in-the-2019_Yellow_Taxi_Trip_Data.csv-file.-Examine-the-first-5-rows:">&#182;</a></h5>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_solution-1-1" data-mime-type="text/markdown">
+<h5 id="Exercise-1.1-%E2%80%93-Create-a-DataFrame-by-reading-in-the-2019_Yellow_Taxi_Trip_Data.csv-file.-Examine-the-first-5-rows:">Exercise 1.1 – Create a DataFrame by reading in the <code>2019_Yellow_Taxi_Trip_Data.csv</code> file. Examine the first 5 rows:<a class="anchor-link" href="#Exercise-1.1-%E2%80%93-Create-a-DataFrame-by-reading-in-the-2019_Yellow_Taxi_Trip_Data.csv-file.-Examine-the-first-5-rows:">¶</a></h5>
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[14]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [14]:</div>
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-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
 
-<span class="n">taxis</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;../data/2019_Yellow_Taxi_Trip_Data.csv&#39;</span><span class="p">)</span>
+<span class="n">taxis</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">'../data/2019_Yellow_Taxi_Trip_Data.csv'</span><span class="p">)</span>
 <span class="n">taxis</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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-      <th>vendorid</th>
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-      <th>trip_distance</th>
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-      <td>7.93</td>
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-      <td>170</td>
-      <td>1</td>
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-      <td>1.0</td>
-      <td>0.5</td>
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-      <td>47.90</td>
-      <td>2.5</td>
-    </tr>
-    <tr>
-      <th>1</th>
-      <td>1</td>
-      <td>2019-10-23T16:32:08.000</td>
-      <td>2019-10-23T16:45:26.000</td>
-      <td>1</td>
-      <td>2.00</td>
-      <td>1</td>
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-    <tr>
-      <th>2</th>
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-      <td>2019-10-23T16:21:11.000</td>
-      <td>1</td>
-      <td>1.36</td>
-      <td>1</td>
-      <td>N</td>
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-      <td>162</td>
-      <td>1</td>
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-      <td>15.80</td>
-      <td>2.5</td>
-    </tr>
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-      <th>3</th>
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-      <td>1</td>
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-      <td>0.3</td>
-      <td>21.62</td>
-      <td>2.5</td>
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-      <td>1</td>
-      <td>1.96</td>
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 <p><em>Source: <a href="https://data.cityofnewyork.us/Transportation/2019-Yellow-Taxi-Trip-Data/2upf-qytp">NYC Open Data</a> collected via <a href="https://dev.socrata.com/foundry/data.cityofnewyork.us/2upf-qytp">SODA</a>.</em></p>
-
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-<h5 id="Exercise-1.2-%E2%80%93-Find-the-dimensions-(number-of-rows-and-number-of-columns)-in-the-data:">Exercise 1.2 &#8211; Find the dimensions (number of rows and number of columns) in the data:<a class="anchor-link" href="#Exercise-1.2-%E2%80%93-Find-the-dimensions-(number-of-rows-and-number-of-columns)-in-the-data:">&#182;</a></h5>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_solution-1-2" data-mime-type="text/markdown">
+<h5 id="Exercise-1.2-%E2%80%93-Find-the-dimensions-(number-of-rows-and-number-of-columns)-in-the-data:">Exercise 1.2 – Find the dimensions (number of rows and number of columns) in the data:<a class="anchor-link" href="#Exercise-1.2-%E2%80%93-Find-the-dimensions-(number-of-rows-and-number-of-columns)-in-the-data:">¶</a></h5>
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+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="o">.</span><span class="n">shape</span>
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+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[15]:</div>
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 <pre>(10000, 18)</pre>
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+<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">¶</a></h2><ol>
 <li>Anatomy of a DataFrame</li>
 <li>Creating DataFrames</li>
 <li>Inspecting the data</li>
 <li><strong>Extracting subsets</strong></li>
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-
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-<h2 id="Extracting-subsets">Extracting subsets<a class="anchor-link" href="#Extracting-subsets">&#182;</a></h2><p>A crucial part of working with DataFrames is extracting subsets of the data: finding rows that meet a certain set of criteria, isolating columns/rows of interest, etc. After narrowing down our data, we are closer to discovering insights. This section will be the backbone of many analysis tasks.</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_extracting-subsets" data-mime-type="text/markdown">
+<h2 id="Extracting-subsets">Extracting subsets<a class="anchor-link" href="#Extracting-subsets">¶</a></h2><p>A crucial part of working with DataFrames is extracting subsets of the data: finding rows that meet a certain set of criteria, isolating columns/rows of interest, etc. After narrowing down our data, we are closer to discovering insights. This section will be the backbone of many analysis tasks.</p>
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+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=51afc2d0-aec1-4e92-a329-db7562189a54">
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-<h4 id="Selecting-columns">Selecting columns<a class="anchor-link" href="#Selecting-columns">&#182;</a></h4><p>We can select columns as attributes if their names would be valid Python variables:</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_selecting-columns" data-mime-type="text/markdown">
+<h4 id="Selecting-columns">Selecting columns<a class="anchor-link" href="#Selecting-columns">¶</a></h4><p>We can select columns as attributes if their names would be valid Python variables:</p>
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[16]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [16]:</div>
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-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">name</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">name</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
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+</div>
 <div class="jp-Cell-outputWrapper">
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-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[16]:</div>
-
-
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-<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[16]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
 <pre>0            Aachen
 1            Aarhus
 2              Abee
@@ -16897,56 +8924,43 @@ <h4 id="Selecting-columns">Selecting columns<a class="anchor-link" href="#Select
 45715    Zulu Queen
 Name: name, Length: 45716, dtype: object</pre>
 </div>
-
 </div>
-
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-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=eae393b7-0e4f-4bc8-a0a8-1cb2e744036c">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>If they aren't, we have to select them as keys. However, we can select multiple columns at once this way:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=8d7ece3d-fb40-45af-9d6b-ee7218b3a27e">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[17]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [17]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="p">[[</span><span class="s1">&#39;name&#39;</span><span class="p">,</span> <span class="s1">&#39;mass (g)&#39;</span><span class="p">]]</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="p">[[</span><span class="s1">'name'</span><span class="p">,</span> <span class="s1">'mass (g)'</span><span class="p">]]</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
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-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[17]:</div>
-
-
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-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[17]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -16960,123 +8974,111 @@ <h4 id="Selecting-columns">Selecting columns<a class="anchor-link" href="#Select
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>name</th>
-      <th>mass (g)</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>0</th>
-      <td>Aachen</td>
-      <td>21.0</td>
-    </tr>
-    <tr>
-      <th>1</th>
-      <td>Aarhus</td>
-      <td>720.0</td>
-    </tr>
-    <tr>
-      <th>2</th>
-      <td>Abee</td>
-      <td>107000.0</td>
-    </tr>
-    <tr>
-      <th>3</th>
-      <td>Acapulco</td>
-      <td>1914.0</td>
-    </tr>
-    <tr>
-      <th>4</th>
-      <td>Achiras</td>
-      <td>780.0</td>
-    </tr>
-    <tr>
-      <th>...</th>
-      <td>...</td>
-      <td>...</td>
-    </tr>
-    <tr>
-      <th>45711</th>
-      <td>Zillah 002</td>
-      <td>172.0</td>
-    </tr>
-    <tr>
-      <th>45712</th>
-      <td>Zinder</td>
-      <td>46.0</td>
-    </tr>
-    <tr>
-      <th>45713</th>
-      <td>Zlin</td>
-      <td>3.3</td>
-    </tr>
-    <tr>
-      <th>45714</th>
-      <td>Zubkovsky</td>
-      <td>2167.0</td>
-    </tr>
-    <tr>
-      <th>45715</th>
-      <td>Zulu Queen</td>
-      <td>200.0</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>name</th>
+<th>mass (g)</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>0</th>
+<td>Aachen</td>
+<td>21.0</td>
+</tr>
+<tr>
+<th>1</th>
+<td>Aarhus</td>
+<td>720.0</td>
+</tr>
+<tr>
+<th>2</th>
+<td>Abee</td>
+<td>107000.0</td>
+</tr>
+<tr>
+<th>3</th>
+<td>Acapulco</td>
+<td>1914.0</td>
+</tr>
+<tr>
+<th>4</th>
+<td>Achiras</td>
+<td>780.0</td>
+</tr>
+<tr>
+<th>...</th>
+<td>...</td>
+<td>...</td>
+</tr>
+<tr>
+<th>45711</th>
+<td>Zillah 002</td>
+<td>172.0</td>
+</tr>
+<tr>
+<th>45712</th>
+<td>Zinder</td>
+<td>46.0</td>
+</tr>
+<tr>
+<th>45713</th>
+<td>Zlin</td>
+<td>3.3</td>
+</tr>
+<tr>
+<th>45714</th>
+<td>Zubkovsky</td>
+<td>2167.0</td>
+</tr>
+<tr>
+<th>45715</th>
+<td>Zulu Queen</td>
+<td>200.0</td>
+</tr>
+</tbody>
 </table>
 <p>45716 rows × 2 columns</p>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=13e1ad0e-11af-4f01-9ddd-b1cd4dc4337e">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_selecting-rows" data-mime-type="text/markdown">
-<h4 id="Selecting-rows">Selecting rows<a class="anchor-link" href="#Selecting-rows">&#182;</a></h4>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_selecting-rows" data-mime-type="text/markdown">
+<h4 id="Selecting-rows">Selecting rows<a class="anchor-link" href="#Selecting-rows">¶</a></h4>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=cd449e0c-17e6-47b2-b7f9-512320090df1">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[18]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [18]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="p">[</span><span class="mi">100</span><span class="p">:</span><span class="mi">104</span><span class="p">]</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="p">[</span><span class="mi">100</span><span class="p">:</span><span class="mi">104</span><span class="p">]</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
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-
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-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[18]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[18]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -17090,128 +9092,115 @@ <h4 id="Selecting-rows">Selecting rows<a class="anchor-link" href="#Selecting-ro
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>name</th>
-      <th>id</th>
-      <th>nametype</th>
-      <th>recclass</th>
-      <th>mass (g)</th>
-      <th>fall</th>
-      <th>year</th>
-      <th>reclat</th>
-      <th>reclong</th>
-      <th>GeoLocation</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>100</th>
-      <td>Benton</td>
-      <td>5026</td>
-      <td>Valid</td>
-      <td>LL6</td>
-      <td>2840.0</td>
-      <td>Fell</td>
-      <td>01/01/1949 12:00:00 AM</td>
-      <td>45.95000</td>
-      <td>-67.55000</td>
-      <td>(45.95, -67.55)</td>
-    </tr>
-    <tr>
-      <th>101</th>
-      <td>Berduc</td>
-      <td>48975</td>
-      <td>Valid</td>
-      <td>L6</td>
-      <td>270.0</td>
-      <td>Fell</td>
-      <td>01/01/2008 12:00:00 AM</td>
-      <td>-31.91000</td>
-      <td>-58.32833</td>
-      <td>(-31.91, -58.32833)</td>
-    </tr>
-    <tr>
-      <th>102</th>
-      <td>Béréba</td>
-      <td>5028</td>
-      <td>Valid</td>
-      <td>Eucrite-mmict</td>
-      <td>18000.0</td>
-      <td>Fell</td>
-      <td>01/01/1924 12:00:00 AM</td>
-      <td>11.65000</td>
-      <td>-3.65000</td>
-      <td>(11.65, -3.65)</td>
-    </tr>
-    <tr>
-      <th>103</th>
-      <td>Berlanguillas</td>
-      <td>5029</td>
-      <td>Valid</td>
-      <td>L6</td>
-      <td>1440.0</td>
-      <td>Fell</td>
-      <td>01/01/1811 12:00:00 AM</td>
-      <td>41.68333</td>
-      <td>-3.80000</td>
-      <td>(41.68333, -3.8)</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>name</th>
+<th>id</th>
+<th>nametype</th>
+<th>recclass</th>
+<th>mass (g)</th>
+<th>fall</th>
+<th>year</th>
+<th>reclat</th>
+<th>reclong</th>
+<th>GeoLocation</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>100</th>
+<td>Benton</td>
+<td>5026</td>
+<td>Valid</td>
+<td>LL6</td>
+<td>2840.0</td>
+<td>Fell</td>
+<td>01/01/1949 12:00:00 AM</td>
+<td>45.95000</td>
+<td>-67.55000</td>
+<td>(45.95, -67.55)</td>
+</tr>
+<tr>
+<th>101</th>
+<td>Berduc</td>
+<td>48975</td>
+<td>Valid</td>
+<td>L6</td>
+<td>270.0</td>
+<td>Fell</td>
+<td>01/01/2008 12:00:00 AM</td>
+<td>-31.91000</td>
+<td>-58.32833</td>
+<td>(-31.91, -58.32833)</td>
+</tr>
+<tr>
+<th>102</th>
+<td>Béréba</td>
+<td>5028</td>
+<td>Valid</td>
+<td>Eucrite-mmict</td>
+<td>18000.0</td>
+<td>Fell</td>
+<td>01/01/1924 12:00:00 AM</td>
+<td>11.65000</td>
+<td>-3.65000</td>
+<td>(11.65, -3.65)</td>
+</tr>
+<tr>
+<th>103</th>
+<td>Berlanguillas</td>
+<td>5029</td>
+<td>Valid</td>
+<td>L6</td>
+<td>1440.0</td>
+<td>Fell</td>
+<td>01/01/1811 12:00:00 AM</td>
+<td>41.68333</td>
+<td>-3.80000</td>
+<td>(41.68333, -3.8)</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=6c8bf6a3-bcc2-448f-a6d4-44b5b01293e5">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_indexing" data-mime-type="text/markdown">
-<h4 id="Indexing">Indexing<a class="anchor-link" href="#Indexing">&#182;</a></h4><p>We use <code>iloc[]</code> to select rows and columns by their position:</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_indexing" data-mime-type="text/markdown">
+<h4 id="Indexing">Indexing<a class="anchor-link" href="#Indexing">¶</a></h4><p>We use <code>iloc[]</code> to select rows and columns by their position:</p>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=4ff42eae-fa1d-4936-bb13-a020281b0728">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[19]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [19]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">100</span><span class="p">:</span><span class="mi">104</span><span class="p">,</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">6</span><span class="p">]]</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">100</span><span class="p">:</span><span class="mi">104</span><span class="p">,</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">6</span><span class="p">]]</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
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 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
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-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[19]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[19]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -17225,98 +9214,85 @@ <h4 id="Indexing">Indexing<a class="anchor-link" href="#Indexing">&#182;</a></h4
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>name</th>
-      <th>recclass</th>
-      <th>mass (g)</th>
-      <th>year</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>100</th>
-      <td>Benton</td>
-      <td>LL6</td>
-      <td>2840.0</td>
-      <td>01/01/1949 12:00:00 AM</td>
-    </tr>
-    <tr>
-      <th>101</th>
-      <td>Berduc</td>
-      <td>L6</td>
-      <td>270.0</td>
-      <td>01/01/2008 12:00:00 AM</td>
-    </tr>
-    <tr>
-      <th>102</th>
-      <td>Béréba</td>
-      <td>Eucrite-mmict</td>
-      <td>18000.0</td>
-      <td>01/01/1924 12:00:00 AM</td>
-    </tr>
-    <tr>
-      <th>103</th>
-      <td>Berlanguillas</td>
-      <td>L6</td>
-      <td>1440.0</td>
-      <td>01/01/1811 12:00:00 AM</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>name</th>
+<th>recclass</th>
+<th>mass (g)</th>
+<th>year</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>100</th>
+<td>Benton</td>
+<td>LL6</td>
+<td>2840.0</td>
+<td>01/01/1949 12:00:00 AM</td>
+</tr>
+<tr>
+<th>101</th>
+<td>Berduc</td>
+<td>L6</td>
+<td>270.0</td>
+<td>01/01/2008 12:00:00 AM</td>
+</tr>
+<tr>
+<th>102</th>
+<td>Béréba</td>
+<td>Eucrite-mmict</td>
+<td>18000.0</td>
+<td>01/01/1924 12:00:00 AM</td>
+</tr>
+<tr>
+<th>103</th>
+<td>Berlanguillas</td>
+<td>L6</td>
+<td>1440.0</td>
+<td>01/01/1811 12:00:00 AM</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=1c9690c7-1f45-450c-ba8e-0b70fc1e3e6a">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>We use <code>loc[]</code> to select by name:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=bba2c44a-aea5-4482-b087-673104aa9b32">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[20]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [20]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">100</span><span class="p">:</span><span class="mi">104</span><span class="p">,</span> <span class="s1">&#39;mass (g)&#39;</span><span class="p">:</span><span class="s1">&#39;year&#39;</span><span class="p">]</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">100</span><span class="p">:</span><span class="mi">104</span><span class="p">,</span> <span class="s1">'mass (g)'</span><span class="p">:</span><span class="s1">'year'</span><span class="p">]</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[20]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[20]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -17330,110 +9306,95 @@ <h4 id="Indexing">Indexing<a class="anchor-link" href="#Indexing">&#182;</a></h4
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>mass (g)</th>
-      <th>fall</th>
-      <th>year</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>100</th>
-      <td>2840.0</td>
-      <td>Fell</td>
-      <td>01/01/1949 12:00:00 AM</td>
-    </tr>
-    <tr>
-      <th>101</th>
-      <td>270.0</td>
-      <td>Fell</td>
-      <td>01/01/2008 12:00:00 AM</td>
-    </tr>
-    <tr>
-      <th>102</th>
-      <td>18000.0</td>
-      <td>Fell</td>
-      <td>01/01/1924 12:00:00 AM</td>
-    </tr>
-    <tr>
-      <th>103</th>
-      <td>1440.0</td>
-      <td>Fell</td>
-      <td>01/01/1811 12:00:00 AM</td>
-    </tr>
-    <tr>
-      <th>104</th>
-      <td>960.0</td>
-      <td>Fell</td>
-      <td>01/01/2004 12:00:00 AM</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>mass (g)</th>
+<th>fall</th>
+<th>year</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>100</th>
+<td>2840.0</td>
+<td>Fell</td>
+<td>01/01/1949 12:00:00 AM</td>
+</tr>
+<tr>
+<th>101</th>
+<td>270.0</td>
+<td>Fell</td>
+<td>01/01/2008 12:00:00 AM</td>
+</tr>
+<tr>
+<th>102</th>
+<td>18000.0</td>
+<td>Fell</td>
+<td>01/01/1924 12:00:00 AM</td>
+</tr>
+<tr>
+<th>103</th>
+<td>1440.0</td>
+<td>Fell</td>
+<td>01/01/1811 12:00:00 AM</td>
+</tr>
+<tr>
+<th>104</th>
+<td>960.0</td>
+<td>Fell</td>
+<td>01/01/2004 12:00:00 AM</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=177e4fc3-9cd5-4e61-8ac0-f024a8cd15a3">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_filtering-with-boolean-masks" data-mime-type="text/markdown">
-<h4 id="Filtering-with-Boolean-masks">Filtering with Boolean masks<a class="anchor-link" href="#Filtering-with-Boolean-masks">&#182;</a></h4><p>A <strong>Boolean mask</strong> is a array-like structure of Boolean values – it's a way to specify which rows/columns we want to select (<code>True</code>) and which we don't (<code>False</code>).</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_filtering-with-boolean-masks" data-mime-type="text/markdown">
+<h4 id="Filtering-with-Boolean-masks">Filtering with Boolean masks<a class="anchor-link" href="#Filtering-with-Boolean-masks">¶</a></h4><p>A <strong>Boolean mask</strong> is a array-like structure of Boolean values – it's a way to specify which rows/columns we want to select (<code>True</code>) and which we don't (<code>False</code>).</p>
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=40dcbfaf-acd3-4ca3-8582-07d9eedafc3d">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Here's an example of a Boolean mask for meteorites weighing more than 50 grams that were found on Earth (i.e., they were not observed falling):</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=f0dcb663-dddc-487e-83e5-b41b4fdaa903">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[21]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [21]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="p">(</span><span class="n">meteorites</span><span class="p">[</span><span class="s1">&#39;mass (g)&#39;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">50</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">meteorites</span><span class="o">.</span><span class="n">fall</span> <span class="o">==</span> <span class="s1">&#39;Found&#39;</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="p">(</span><span class="n">meteorites</span><span class="p">[</span><span class="s1">'mass (g)'</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">50</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">meteorites</span><span class="o">.</span><span class="n">fall</span> <span class="o">==</span> <span class="s1">'Found'</span><span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[21]:</div>
-
-
-
-
-<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[21]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
 <pre>0        False
 1        False
 2        False
@@ -17447,68 +9408,54 @@ <h4 id="Filtering-with-Boolean-masks">Filtering with Boolean masks<a class="anch
 45715     True
 Length: 45716, dtype: bool</pre>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=c5eb55fd-5d09-4da8-be4b-f588b58943d2">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><strong>Important</strong>: Take note of the syntax here. We surround each condition with parentheses, and we use bitwise operators (<code>&amp;</code>, <code>|</code>, <code>~</code>) instead of logical operators (<code>and</code>, <code>or</code>, <code>not</code>).</p>
-
 </div>
 </div>
 </div>
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=e57f9cff-2153-493d-9023-d6395e50cbe0">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>We can use a Boolean mask to select the subset of meteorites weighing more than 1 million grams (1,000 kilograms or roughly 2,205 pounds) that were observed falling:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=18294622-156a-426f-b6bf-674315b74bf2">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[22]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [22]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="p">[(</span><span class="n">meteorites</span><span class="p">[</span><span class="s1">&#39;mass (g)&#39;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mf">1e6</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">meteorites</span><span class="o">.</span><span class="n">fall</span> <span class="o">==</span> <span class="s1">&#39;Fell&#39;</span><span class="p">)]</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="p">[(</span><span class="n">meteorites</span><span class="p">[</span><span class="s1">'mass (g)'</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mf">1e6</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">meteorites</span><span class="o">.</span><span class="n">fall</span> <span class="o">==</span> <span class="s1">'Fell'</span><span class="p">)]</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[22]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[22]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -17522,153 +9469,139 @@ <h4 id="Filtering-with-Boolean-masks">Filtering with Boolean masks<a class="anch
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>name</th>
-      <th>id</th>
-      <th>nametype</th>
-      <th>recclass</th>
-      <th>mass (g)</th>
-      <th>fall</th>
-      <th>year</th>
-      <th>reclat</th>
-      <th>reclong</th>
-      <th>GeoLocation</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>29</th>
-      <td>Allende</td>
-      <td>2278</td>
-      <td>Valid</td>
-      <td>CV3</td>
-      <td>2000000.0</td>
-      <td>Fell</td>
-      <td>01/01/1969 12:00:00 AM</td>
-      <td>26.96667</td>
-      <td>-105.31667</td>
-      <td>(26.96667, -105.31667)</td>
-    </tr>
-    <tr>
-      <th>419</th>
-      <td>Jilin</td>
-      <td>12171</td>
-      <td>Valid</td>
-      <td>H5</td>
-      <td>4000000.0</td>
-      <td>Fell</td>
-      <td>01/01/1976 12:00:00 AM</td>
-      <td>44.05000</td>
-      <td>126.16667</td>
-      <td>(44.05, 126.16667)</td>
-    </tr>
-    <tr>
-      <th>506</th>
-      <td>Kunya-Urgench</td>
-      <td>12379</td>
-      <td>Valid</td>
-      <td>H5</td>
-      <td>1100000.0</td>
-      <td>Fell</td>
-      <td>01/01/1998 12:00:00 AM</td>
-      <td>42.25000</td>
-      <td>59.20000</td>
-      <td>(42.25, 59.2)</td>
-    </tr>
-    <tr>
-      <th>707</th>
-      <td>Norton County</td>
-      <td>17922</td>
-      <td>Valid</td>
-      <td>Aubrite</td>
-      <td>1100000.0</td>
-      <td>Fell</td>
-      <td>01/01/1948 12:00:00 AM</td>
-      <td>39.68333</td>
-      <td>-99.86667</td>
-      <td>(39.68333, -99.86667)</td>
-    </tr>
-    <tr>
-      <th>920</th>
-      <td>Sikhote-Alin</td>
-      <td>23593</td>
-      <td>Valid</td>
-      <td>Iron, IIAB</td>
-      <td>23000000.0</td>
-      <td>Fell</td>
-      <td>01/01/1947 12:00:00 AM</td>
-      <td>46.16000</td>
-      <td>134.65333</td>
-      <td>(46.16, 134.65333)</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>name</th>
+<th>id</th>
+<th>nametype</th>
+<th>recclass</th>
+<th>mass (g)</th>
+<th>fall</th>
+<th>year</th>
+<th>reclat</th>
+<th>reclong</th>
+<th>GeoLocation</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>29</th>
+<td>Allende</td>
+<td>2278</td>
+<td>Valid</td>
+<td>CV3</td>
+<td>2000000.0</td>
+<td>Fell</td>
+<td>01/01/1969 12:00:00 AM</td>
+<td>26.96667</td>
+<td>-105.31667</td>
+<td>(26.96667, -105.31667)</td>
+</tr>
+<tr>
+<th>419</th>
+<td>Jilin</td>
+<td>12171</td>
+<td>Valid</td>
+<td>H5</td>
+<td>4000000.0</td>
+<td>Fell</td>
+<td>01/01/1976 12:00:00 AM</td>
+<td>44.05000</td>
+<td>126.16667</td>
+<td>(44.05, 126.16667)</td>
+</tr>
+<tr>
+<th>506</th>
+<td>Kunya-Urgench</td>
+<td>12379</td>
+<td>Valid</td>
+<td>H5</td>
+<td>1100000.0</td>
+<td>Fell</td>
+<td>01/01/1998 12:00:00 AM</td>
+<td>42.25000</td>
+<td>59.20000</td>
+<td>(42.25, 59.2)</td>
+</tr>
+<tr>
+<th>707</th>
+<td>Norton County</td>
+<td>17922</td>
+<td>Valid</td>
+<td>Aubrite</td>
+<td>1100000.0</td>
+<td>Fell</td>
+<td>01/01/1948 12:00:00 AM</td>
+<td>39.68333</td>
+<td>-99.86667</td>
+<td>(39.68333, -99.86667)</td>
+</tr>
+<tr>
+<th>920</th>
+<td>Sikhote-Alin</td>
+<td>23593</td>
+<td>Valid</td>
+<td>Iron, IIAB</td>
+<td>23000000.0</td>
+<td>Fell</td>
+<td>01/01/1947 12:00:00 AM</td>
+<td>46.16000</td>
+<td>134.65333</td>
+<td>(46.16, 134.65333)</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=c8c71775-3657-4b5b-b68b-1519829a76e1">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><em>Tip: Boolean masks can be used with <code>loc[]</code> and <code>iloc[]</code>.</em></p>
-
 </div>
 </div>
 </div>
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=ce56faca-d470-4a11-9b80-7b942951a9aa">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_query-method" data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_query-method" data-mime-type="text/markdown">
 <p>An alternative to this is the <code>query()</code> method:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=2ef48350-5dc0-49b2-93e1-b02f715d18a3">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[23]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [23]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;`mass (g)` &gt; 1e6 and fall == &#39;Fell&#39;&quot;</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">"`mass (g)` &gt; 1e6 and fall == 'Fell'"</span><span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
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-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[23]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[23]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -17682,309 +9615,264 @@ <h4 id="Filtering-with-Boolean-masks">Filtering with Boolean masks<a class="anch
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>name</th>
-      <th>id</th>
-      <th>nametype</th>
-      <th>recclass</th>
-      <th>mass (g)</th>
-      <th>fall</th>
-      <th>year</th>
-      <th>reclat</th>
-      <th>reclong</th>
-      <th>GeoLocation</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>29</th>
-      <td>Allende</td>
-      <td>2278</td>
-      <td>Valid</td>
-      <td>CV3</td>
-      <td>2000000.0</td>
-      <td>Fell</td>
-      <td>01/01/1969 12:00:00 AM</td>
-      <td>26.96667</td>
-      <td>-105.31667</td>
-      <td>(26.96667, -105.31667)</td>
-    </tr>
-    <tr>
-      <th>419</th>
-      <td>Jilin</td>
-      <td>12171</td>
-      <td>Valid</td>
-      <td>H5</td>
-      <td>4000000.0</td>
-      <td>Fell</td>
-      <td>01/01/1976 12:00:00 AM</td>
-      <td>44.05000</td>
-      <td>126.16667</td>
-      <td>(44.05, 126.16667)</td>
-    </tr>
-    <tr>
-      <th>506</th>
-      <td>Kunya-Urgench</td>
-      <td>12379</td>
-      <td>Valid</td>
-      <td>H5</td>
-      <td>1100000.0</td>
-      <td>Fell</td>
-      <td>01/01/1998 12:00:00 AM</td>
-      <td>42.25000</td>
-      <td>59.20000</td>
-      <td>(42.25, 59.2)</td>
-    </tr>
-    <tr>
-      <th>707</th>
-      <td>Norton County</td>
-      <td>17922</td>
-      <td>Valid</td>
-      <td>Aubrite</td>
-      <td>1100000.0</td>
-      <td>Fell</td>
-      <td>01/01/1948 12:00:00 AM</td>
-      <td>39.68333</td>
-      <td>-99.86667</td>
-      <td>(39.68333, -99.86667)</td>
-    </tr>
-    <tr>
-      <th>920</th>
-      <td>Sikhote-Alin</td>
-      <td>23593</td>
-      <td>Valid</td>
-      <td>Iron, IIAB</td>
-      <td>23000000.0</td>
-      <td>Fell</td>
-      <td>01/01/1947 12:00:00 AM</td>
-      <td>46.16000</td>
-      <td>134.65333</td>
-      <td>(46.16, 134.65333)</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>name</th>
+<th>id</th>
+<th>nametype</th>
+<th>recclass</th>
+<th>mass (g)</th>
+<th>fall</th>
+<th>year</th>
+<th>reclat</th>
+<th>reclong</th>
+<th>GeoLocation</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>29</th>
+<td>Allende</td>
+<td>2278</td>
+<td>Valid</td>
+<td>CV3</td>
+<td>2000000.0</td>
+<td>Fell</td>
+<td>01/01/1969 12:00:00 AM</td>
+<td>26.96667</td>
+<td>-105.31667</td>
+<td>(26.96667, -105.31667)</td>
+</tr>
+<tr>
+<th>419</th>
+<td>Jilin</td>
+<td>12171</td>
+<td>Valid</td>
+<td>H5</td>
+<td>4000000.0</td>
+<td>Fell</td>
+<td>01/01/1976 12:00:00 AM</td>
+<td>44.05000</td>
+<td>126.16667</td>
+<td>(44.05, 126.16667)</td>
+</tr>
+<tr>
+<th>506</th>
+<td>Kunya-Urgench</td>
+<td>12379</td>
+<td>Valid</td>
+<td>H5</td>
+<td>1100000.0</td>
+<td>Fell</td>
+<td>01/01/1998 12:00:00 AM</td>
+<td>42.25000</td>
+<td>59.20000</td>
+<td>(42.25, 59.2)</td>
+</tr>
+<tr>
+<th>707</th>
+<td>Norton County</td>
+<td>17922</td>
+<td>Valid</td>
+<td>Aubrite</td>
+<td>1100000.0</td>
+<td>Fell</td>
+<td>01/01/1948 12:00:00 AM</td>
+<td>39.68333</td>
+<td>-99.86667</td>
+<td>(39.68333, -99.86667)</td>
+</tr>
+<tr>
+<th>920</th>
+<td>Sikhote-Alin</td>
+<td>23593</td>
+<td>Valid</td>
+<td>Iron, IIAB</td>
+<td>23000000.0</td>
+<td>Fell</td>
+<td>01/01/1947 12:00:00 AM</td>
+<td>46.16000</td>
+<td>134.65333</td>
+<td>(46.16, 134.65333)</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=3a8b60a0-7f33-411f-a11e-34d8d6dfe670">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><em>Tip: Here, we can use both logical operators and bitwise operators.</em></p>
-
 </div>
 </div>
 </div>
-</div></div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=8b59a3c2-5515-43b1-b23e-6a6c747b8218">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">&#182;</a></h2><ol>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">¶</a></h2><ol>
 <li>Anatomy of a DataFrame</li>
 <li>Creating DataFrames</li>
 <li>Inspecting the data</li>
 <li>Extracting subsets</li>
 <li><strong>Calculating summary statistics</strong></li>
 </ol>
-
 </div>
 </div>
 </div>
-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=96a7b264-7cfc-403f-8c69-380e20ae163f">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_calculating-summary-statistics" data-mime-type="text/markdown">
-<h2 id="Calculating-summary-statistics">Calculating summary statistics<a class="anchor-link" href="#Calculating-summary-statistics">&#182;</a></h2><p>In the next section of this workshop, we will discuss data cleaning for a more meaningful analysis of our datasets; however, we can already extract some interesting insights from the <code>meteorites</code> data by calculating summary statistics.</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_calculating-summary-statistics" data-mime-type="text/markdown">
+<h2 id="Calculating-summary-statistics">Calculating summary statistics<a class="anchor-link" href="#Calculating-summary-statistics">¶</a></h2><p>In the next section of this workshop, we will discuss data cleaning for a more meaningful analysis of our datasets; however, we can already extract some interesting insights from the <code>meteorites</code> data by calculating summary statistics.</p>
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=1bb77a5b-a57f-41f4-8131-4704f47a3b42">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_value-counts" data-mime-type="text/markdown">
-<h4 id="How-many-of-the-meteorites-were-found-versus-observed-falling?">How many of the meteorites were found versus observed falling?<a class="anchor-link" href="#How-many-of-the-meteorites-were-found-versus-observed-falling?">&#182;</a></h4>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_value-counts" data-mime-type="text/markdown">
+<h4 id="How-many-of-the-meteorites-were-found-versus-observed-falling?">How many of the meteorites were found versus observed falling?<a class="anchor-link" href="#How-many-of-the-meteorites-were-found-versus-observed-falling?">¶</a></h4>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=78de2225-84df-4df2-8388-30a6b2e22877">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[24]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [24]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">fall</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">fall</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[24]:</div>
-
-
-
-
-<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[24]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
 <pre>fall
 Found    44609
 Fell      1107
 Name: count, dtype: int64</pre>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=ba5f43b1-9070-46a8-bc8e-ec4502a8e1c2">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><em>Tip: Pass in <code>normalize=True</code> to see this result as percentages. Check the <a href="https://pandas.pydata.org/docs/reference/api/pandas.Series.value_counts.html">documentation</a> for additional functionality.</em></p>
-
 </div>
 </div>
 </div>
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=0fdb3a88-1c1f-4a37-84ed-d521be8fd8b0">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_mean" data-mime-type="text/markdown">
-<h4 id="What-was-the-mass-of-the-average-meterorite?">What was the mass of the average meterorite?<a class="anchor-link" href="#What-was-the-mass-of-the-average-meterorite?">&#182;</a></h4>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_mean" data-mime-type="text/markdown">
+<h4 id="What-was-the-mass-of-the-average-meterorite?">What was the mass of the average meterorite?<a class="anchor-link" href="#What-was-the-mass-of-the-average-meterorite?">¶</a></h4>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=1770a856-cb3d-42a4-abef-656198b9cdab">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[25]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [25]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="p">[</span><span class="s1">&#39;mass (g)&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="p">[</span><span class="s1">'mass (g)'</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[25]:</div>
-
-
-
-
-<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>13278.078548601512</pre>
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[25]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>np.float64(13278.078548601512)</pre>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=91b223c6-e174-4b8c-89ec-dc4538f36873">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><strong>Important</strong>: The mean isn't always the best measure of central tendency. If there are outliers in the distribution, the mean will be skewed. Here, the mean is being pulled higher by some very heavy meteorites – the distribution is <a href="https://www.analyticsvidhya.com/blog/2020/07/what-is-skewness-statistics/">right-skewed</a>.</p>
-
 </div>
 </div>
 </div>
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=b7da8f8d-2838-4f3a-a011-1623c16b5c30">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_quantiles" data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_quantiles" data-mime-type="text/markdown">
 <p>Taking a look at some quantiles at the extremes of the distribution shows that the mean is between the 95th and 99th percentile of the distribution, so it isn't a good measure of central tendency here:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=0821d8e4-6096-4506-8d84-2f0f0ed09bd7">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[26]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [26]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="p">[</span><span class="s1">&#39;mass (g)&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">quantile</span><span class="p">([</span><span class="mf">0.01</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.95</span><span class="p">,</span> <span class="mf">0.99</span><span class="p">])</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="p">[</span><span class="s1">'mass (g)'</span><span class="p">]</span><span class="o">.</span><span class="n">quantile</span><span class="p">([</span><span class="mf">0.01</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.95</span><span class="p">,</span> <span class="mf">0.99</span><span class="p">])</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
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-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
-</div>
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-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[26]:</div>
-
-
-
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-<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[26]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
 <pre>0.01        0.44
 0.05        1.10
 0.50       32.60
@@ -17992,156 +9880,115 @@ <h4 id="What-was-the-mass-of-the-average-meterorite?">What was the mass of the a
 0.99    50600.00
 Name: mass (g), dtype: float64</pre>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=9ba56ba7-cb62-46a1-81b6-5117a2210460">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>A better measure in this case is the median (50th percentile), since it is robust to outliers:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=4aca7862-5a00-4f9e-88d8-004c6d680e0d">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[27]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [27]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="p">[</span><span class="s1">&#39;mass (g)&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">median</span><span class="p">()</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="p">[</span><span class="s1">'mass (g)'</span><span class="p">]</span><span class="o">.</span><span class="n">median</span><span class="p">()</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
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-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[27]:</div>
-
-
-
-
-<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>32.6</pre>
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[27]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>np.float64(32.6)</pre>
 </div>
-
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-
 </div>
-
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=377ade97-183d-428b-9b56-2cc1a1d3915f">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_max-and-idxmax" data-mime-type="text/markdown">
-<h4 id="What-was-the-mass-of-the-heaviest-meteorite?">What was the mass of the heaviest meteorite?<a class="anchor-link" href="#What-was-the-mass-of-the-heaviest-meteorite?">&#182;</a></h4>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_max-and-idxmax" data-mime-type="text/markdown">
+<h4 id="What-was-the-mass-of-the-heaviest-meteorite?">What was the mass of the heaviest meteorite?<a class="anchor-link" href="#What-was-the-mass-of-the-heaviest-meteorite?">¶</a></h4>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=35cd0108-7ef5-4911-bc6d-56249dff6b42">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[28]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [28]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="p">[</span><span class="s1">&#39;mass (g)&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">()</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="p">[</span><span class="s1">'mass (g)'</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">()</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
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 <div class="jp-OutputArea jp-Cell-outputArea">
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-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[28]:</div>
-
-
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-<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>60000000.0</pre>
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[28]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>np.float64(60000000.0)</pre>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=6efc5b1b-413b-4378-9656-7c4d6001dc27">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Let's extract the information on this meteorite:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=edf8ab72-ba40-4eb9-9015-37c0d60ef86d">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[29]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [29]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">meteorites</span><span class="p">[</span><span class="s1">&#39;mass (g)&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">idxmax</span><span class="p">()]</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">meteorites</span><span class="p">[</span><span class="s1">'mass (g)'</span><span class="p">]</span><span class="o">.</span><span class="n">idxmax</span><span class="p">()]</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
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+</div>
 <div class="jp-Cell-outputWrapper">
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-
-
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-<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[29]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
 <pre>name                             Hoba
 id                              11890
 nametype                        Valid
@@ -18154,187 +10001,145 @@ <h4 id="What-was-the-mass-of-the-heaviest-meteorite?">What was the mass of the h
 GeoLocation     (-19.58333, 17.91667)
 Name: 16392, dtype: object</pre>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=65367403-e010-4dc7-8cef-d280a8c94fd3">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><em>Fun fact: This meteorite landed in Namibia and is a tourist attraction.</em></p>
 <div>
-    <img width="25%" style="margin-top: -5px; margin-bottom: -5px; min-width: 200px" src="https://upload.wikimedia.org/wikipedia/commons/thumb/a/a7/Hoba_meteorite_%2815682150765%29.jpg/1280px-Hoba_meteorite_%2815682150765%29.jpg" alt="Hoba meteorite (source: Wikipedia)"/>
-    <div><small><em>Source: Wikipedia</em></small></div>
-</div>
-
+<img alt="Hoba meteorite (source: Wikipedia)" src="https://upload.wikimedia.org/wikipedia/commons/thumb/a/a7/Hoba_meteorite_%2815682150765%29.jpg/1280px-Hoba_meteorite_%2815682150765%29.jpg" style="margin-top: -5px; margin-bottom: -5px; min-width: 200px" width="25%">
+<div><small><em>Source: Wikipedia</em></small></div>
+</img></div>
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=38d14207-0f94-4204-927e-444535c7dd2d">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_unique-and-nunique" data-mime-type="text/markdown">
-<h4 id="How-many-different-types-of-meteorite-classes-are-represented-in-this-dataset?">How many different types of meteorite classes are represented in this dataset?<a class="anchor-link" href="#How-many-different-types-of-meteorite-classes-are-represented-in-this-dataset?">&#182;</a></h4>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_unique-and-nunique" data-mime-type="text/markdown">
+<h4 id="How-many-different-types-of-meteorite-classes-are-represented-in-this-dataset?">How many different types of meteorite classes are represented in this dataset?<a class="anchor-link" href="#How-many-different-types-of-meteorite-classes-are-represented-in-this-dataset?">¶</a></h4>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=0301e74e-bdfd-4b9f-bf26-edd0c3ad5f39">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[30]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [30]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">recclass</span><span class="o">.</span><span class="n">nunique</span><span class="p">()</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">recclass</span><span class="o">.</span><span class="n">nunique</span><span class="p">()</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[30]:</div>
-
-
-
-
-<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[30]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
 <pre>466</pre>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=e55fe68e-5bf4-4b5e-b2c7-6a896743a5f6">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Some examples:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=5ad8d82a-aeaf-4d8b-bf5f-22b2ba06fad3">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[31]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [31]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">recclass</span><span class="o">.</span><span class="n">unique</span><span class="p">()[:</span><span class="mi">14</span><span class="p">]</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">recclass</span><span class="o">.</span><span class="n">unique</span><span class="p">()[:</span><span class="mi">14</span><span class="p">]</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
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-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[31]:</div>
-
-
-
-
-<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>array([&#39;L5&#39;, &#39;H6&#39;, &#39;EH4&#39;, &#39;Acapulcoite&#39;, &#39;L6&#39;, &#39;LL3-6&#39;, &#39;H5&#39;, &#39;L&#39;,
-       &#39;Diogenite-pm&#39;, &#39;Unknown&#39;, &#39;H4&#39;, &#39;H&#39;, &#39;Iron, IVA&#39;, &#39;CR2-an&#39;],
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[31]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>array(['L5', 'H6', 'EH4', 'Acapulcoite', 'L6', 'LL3-6', 'H5', 'L',
+       'Diogenite-pm', 'Unknown', 'H4', 'H', 'Iron, IVA', 'CR2-an'],
       dtype=object)</pre>
 </div>
-
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-
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-
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-
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-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=1dc4f077-48b2-49ca-a902-faac7066f479">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-<p><em>Note: All fields preceded with &quot;rec&quot; are the values recommended by The Meteoritical Society. Check out <a href="https://en.wikipedia.org/wiki/Meteorite_classification">this Wikipedia article</a> for some information on meteorite classes.</em></p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><em>Note: All fields preceded with "rec" are the values recommended by The Meteoritical Society. Check out <a href="https://en.wikipedia.org/wiki/Meteorite_classification">this Wikipedia article</a> for some information on meteorite classes.</em></p>
 </div>
 </div>
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-</div></div></section><section >
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+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=5b506e37-2929-42be-a82d-eb31491bf352">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-<h4 id="Get-some-summary-statistics-on-the-data-itself">Get some summary statistics on the data itself<a class="anchor-link" href="#Get-some-summary-statistics-on-the-data-itself">&#182;</a></h4><p>We can get common summary statistics for all columns at once. By default, this will only be numeric columns, but here, we will summarize everything together:</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_describe-method" data-mime-type="text/markdown">
+<h4 id="Get-some-summary-statistics-on-the-data-itself">Get some summary statistics on the data itself<a class="anchor-link" href="#Get-some-summary-statistics-on-the-data-itself">¶</a></h4><p>We can get common summary statistics for all columns at once. By default, this will only be numeric columns, but here, we will summarize everything together:</p>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=7bbf2092-31bd-4473-a98c-cfe243f9e7b1">
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[32]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [32]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">describe</span><span class="p">(</span><span class="n">include</span><span class="o">=</span><span class="s1">&#39;all&#39;</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">describe</span><span class="p">(</span><span class="n">include</span><span class="o">=</span><span class="s1">'all'</span><span class="p">)</span>
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+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[32]:</div>
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 <p><strong>Important</strong>: <code>NaN</code> values signify missing data. For instance, the <code>fall</code> column contains strings, so there is no value for <code>mean</code>; likewise, <code>mass (g)</code> is numeric, so we don't have entries for the categorical summary statistics (<code>unique</code>, <code>top</code>, <code>freq</code>).</p>
-
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+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=23eb0e09-a60c-4228-a85f-cfbd7c414666">
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-<h4 id="Check-out-the-documentation-for-more-descriptive-statistics:">Check out the documentation for more descriptive statistics:<a class="anchor-link" href="#Check-out-the-documentation-for-more-descriptive-statistics:">&#182;</a></h4><ul>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h4 id="Check-out-the-documentation-for-more-descriptive-statistics:">Check out the documentation for more descriptive statistics:<a class="anchor-link" href="#Check-out-the-documentation-for-more-descriptive-statistics:">¶</a></h4><ul>
 <li><a href="https://pandas.pydata.org/docs/reference/series.html#computations-descriptive-stats">Series</a></li>
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-
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-</div></section></section><section ><section >
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-<h3 id="Exercise-1.3">Exercise 1.3<a class="anchor-link" href="#Exercise-1.3">&#182;</a></h3><h5 id="Using-the-data-in-the-2019_Yellow_Taxi_Trip_Data.csv-file,-calculate-summary-statistics-for-the-fare_amount,-tip_amount,-tolls_amount,-and-total_amount-columns.">Using the data in the <code>2019_Yellow_Taxi_Trip_Data.csv</code> file, calculate summary statistics for the <code>fare_amount</code>, <code>tip_amount</code>, <code>tolls_amount</code>, and <code>total_amount</code> columns.<a class="anchor-link" href="#Using-the-data-in-the-2019_Yellow_Taxi_Trip_Data.csv-file,-calculate-summary-statistics-for-the-fare_amount,-tip_amount,-tolls_amount,-and-total_amount-columns.">&#182;</a></h5><h3 id="Exercise-1.4">Exercise 1.4<a class="anchor-link" href="#Exercise-1.4">&#182;</a></h3><h5 id="Isolate-the-fare_amount,-tip_amount,-tolls_amount,-and-total_amount-for-the-longest-trip-by-distance-(trip_distance).">Isolate the <code>fare_amount</code>, <code>tip_amount</code>, <code>tolls_amount</code>, and <code>total_amount</code> for the longest trip by distance (<code>trip_distance</code>).<a class="anchor-link" href="#Isolate-the-fare_amount,-tip_amount,-tolls_amount,-and-total_amount-for-the-longest-trip-by-distance-(trip_distance).">&#182;</a></h5>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_exercises-section-1-part-2" data-mime-type="text/markdown">
+<h3 id="Exercise-1.3">Exercise 1.3<a class="anchor-link" href="#Exercise-1.3">¶</a></h3><h5 id="Using-the-data-in-the-2019_Yellow_Taxi_Trip_Data.csv-file,-calculate-summary-statistics-for-the-fare_amount,-tip_amount,-tolls_amount,-and-total_amount-columns.">Using the data in the <code>2019_Yellow_Taxi_Trip_Data.csv</code> file, calculate summary statistics for the <code>fare_amount</code>, <code>tip_amount</code>, <code>tolls_amount</code>, and <code>total_amount</code> columns.<a class="anchor-link" href="#Using-the-data-in-the-2019_Yellow_Taxi_Trip_Data.csv-file,-calculate-summary-statistics-for-the-fare_amount,-tip_amount,-tolls_amount,-and-total_amount-columns.">¶</a></h5><h3 id="Exercise-1.4">Exercise 1.4<a class="anchor-link" href="#Exercise-1.4">¶</a></h3><h5 id="Isolate-the-fare_amount,-tip_amount,-tolls_amount,-and-total_amount-for-the-longest-trip-by-distance-(trip_distance).">Isolate the <code>fare_amount</code>, <code>tip_amount</code>, <code>tolls_amount</code>, and <code>total_amount</code> for the longest trip by distance (<code>trip_distance</code>).<a class="anchor-link" href="#Isolate-the-fare_amount,-tip_amount,-tolls_amount,-and-total_amount-for-the-longest-trip-by-distance-(trip_distance).">¶</a></h5>
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-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=bfc7ca90-3bb4-4dd6-97fd-8afe50b5dfd3">
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-<h3 id="Solutions">Solutions<a class="anchor-link" href="#Solutions">&#182;</a></h3>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_solutions-section-1-part-2" data-mime-type="text/markdown">
+<h3 id="Solutions">Solutions<a class="anchor-link" href="#Solutions">¶</a></h3>
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-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=769a4fc4-8648-4929-a736-d862370bc94e">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_solution-1-3" data-mime-type="text/markdown">
-<h5 id="Exercise-1.3-%E2%80%93-Using-the-data-in-the-2019_Yellow_Taxi_Trip_Data.csv-file,-calculate-summary-statistics-for-the-fare_amount,-tip_amount,-tolls_amount,-and-total_amount-columns:">Exercise 1.3 &#8211; Using the data in the <code>2019_Yellow_Taxi_Trip_Data.csv</code> file, calculate summary statistics for the <code>fare_amount</code>, <code>tip_amount</code>, <code>tolls_amount</code>, and <code>total_amount</code> columns:<a class="anchor-link" href="#Exercise-1.3-%E2%80%93-Using-the-data-in-the-2019_Yellow_Taxi_Trip_Data.csv-file,-calculate-summary-statistics-for-the-fare_amount,-tip_amount,-tolls_amount,-and-total_amount-columns:">&#182;</a></h5>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_solution-1-3" data-mime-type="text/markdown">
+<h5 id="Exercise-1.3-%E2%80%93-Using-the-data-in-the-2019_Yellow_Taxi_Trip_Data.csv-file,-calculate-summary-statistics-for-the-fare_amount,-tip_amount,-tolls_amount,-and-total_amount-columns:">Exercise 1.3 – Using the data in the <code>2019_Yellow_Taxi_Trip_Data.csv</code> file, calculate summary statistics for the <code>fare_amount</code>, <code>tip_amount</code>, <code>tolls_amount</code>, and <code>total_amount</code> columns:<a class="anchor-link" href="#Exercise-1.3-%E2%80%93-Using-the-data-in-the-2019_Yellow_Taxi_Trip_Data.csv-file,-calculate-summary-statistics-for-the-fare_amount,-tip_amount,-tolls_amount,-and-total_amount-columns:">¶</a></h5>
 </div>
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-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=0f348a93-32c6-474c-acf9-c4fd1a80aa26">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[33]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [33]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
 
-<span class="n">taxis</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;../data/2019_Yellow_Taxi_Trip_Data.csv&#39;</span><span class="p">)</span>
-<span class="n">taxis</span><span class="p">[[</span><span class="s1">&#39;fare_amount&#39;</span><span class="p">,</span> <span class="s1">&#39;tip_amount&#39;</span><span class="p">,</span> <span class="s1">&#39;tolls_amount&#39;</span><span class="p">,</span> <span class="s1">&#39;total_amount&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
+<span class="n">taxis</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">'../data/2019_Yellow_Taxi_Trip_Data.csv'</span><span class="p">)</span>
+<span class="n">taxis</span><span class="p">[[</span><span class="s1">'fare_amount'</span><span class="p">,</span> <span class="s1">'tip_amount'</span><span class="p">,</span> <span class="s1">'tolls_amount'</span><span class="p">,</span> <span class="s1">'total_amount'</span><span class="p">]]</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
 </pre></div>
-
-     </div>
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+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[33]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
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@@ -18625,232 +10416,203 @@ <h5 id="Exercise-1.3-%E2%80%93-Using-the-data-in-the-2019_Yellow_Taxi_Trip_Data.
     }
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 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>fare_amount</th>
-      <th>tip_amount</th>
-      <th>tolls_amount</th>
-      <th>total_amount</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>count</th>
-      <td>10000.000000</td>
-      <td>10000.000000</td>
-      <td>10000.000000</td>
-      <td>10000.000000</td>
-    </tr>
-    <tr>
-      <th>mean</th>
-      <td>15.106313</td>
-      <td>2.634494</td>
-      <td>0.623447</td>
-      <td>22.564659</td>
-    </tr>
-    <tr>
-      <th>std</th>
-      <td>13.954762</td>
-      <td>3.409800</td>
-      <td>6.437507</td>
-      <td>19.209255</td>
-    </tr>
-    <tr>
-      <th>min</th>
-      <td>-52.000000</td>
-      <td>0.000000</td>
-      <td>-6.120000</td>
-      <td>-65.920000</td>
-    </tr>
-    <tr>
-      <th>25%</th>
-      <td>7.000000</td>
-      <td>0.000000</td>
-      <td>0.000000</td>
-      <td>12.375000</td>
-    </tr>
-    <tr>
-      <th>50%</th>
-      <td>10.000000</td>
-      <td>2.000000</td>
-      <td>0.000000</td>
-      <td>16.300000</td>
-    </tr>
-    <tr>
-      <th>75%</th>
-      <td>16.000000</td>
-      <td>3.250000</td>
-      <td>0.000000</td>
-      <td>22.880000</td>
-    </tr>
-    <tr>
-      <th>max</th>
-      <td>176.000000</td>
-      <td>43.000000</td>
-      <td>612.000000</td>
-      <td>671.800000</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>fare_amount</th>
+<th>tip_amount</th>
+<th>tolls_amount</th>
+<th>total_amount</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>count</th>
+<td>10000.000000</td>
+<td>10000.000000</td>
+<td>10000.000000</td>
+<td>10000.000000</td>
+</tr>
+<tr>
+<th>mean</th>
+<td>15.106313</td>
+<td>2.634494</td>
+<td>0.623447</td>
+<td>22.564659</td>
+</tr>
+<tr>
+<th>std</th>
+<td>13.954762</td>
+<td>3.409800</td>
+<td>6.437507</td>
+<td>19.209255</td>
+</tr>
+<tr>
+<th>min</th>
+<td>-52.000000</td>
+<td>0.000000</td>
+<td>-6.120000</td>
+<td>-65.920000</td>
+</tr>
+<tr>
+<th>25%</th>
+<td>7.000000</td>
+<td>0.000000</td>
+<td>0.000000</td>
+<td>12.375000</td>
+</tr>
+<tr>
+<th>50%</th>
+<td>10.000000</td>
+<td>2.000000</td>
+<td>0.000000</td>
+<td>16.300000</td>
+</tr>
+<tr>
+<th>75%</th>
+<td>16.000000</td>
+<td>3.250000</td>
+<td>0.000000</td>
+<td>22.880000</td>
+</tr>
+<tr>
+<th>max</th>
+<td>176.000000</td>
+<td>43.000000</td>
+<td>612.000000</td>
+<td>671.800000</td>
+</tr>
+</tbody>
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 </div>
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-
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-
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-
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-
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-<div class="jp-Cell-inputWrapper">
+</div></section><section>
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-<h5 id="Exercise-1.4-%E2%80%93-Isolate-the-fare_amount,-tip_amount,-tolls_amount,-and-total_amount-for-the-longest-trip-by-distance-(trip_distance):">Exercise 1.4 &#8211; Isolate the <code>fare_amount</code>, <code>tip_amount</code>, <code>tolls_amount</code>, and <code>total_amount</code> for the longest trip by distance (<code>trip_distance</code>):<a class="anchor-link" href="#Exercise-1.4-%E2%80%93-Isolate-the-fare_amount,-tip_amount,-tolls_amount,-and-total_amount-for-the-longest-trip-by-distance-(trip_distance):">&#182;</a></h5>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_solution-1-4" data-mime-type="text/markdown">
+<h5 id="Exercise-1.4-%E2%80%93-Isolate-the-fare_amount,-tip_amount,-tolls_amount,-and-total_amount-for-the-longest-trip-by-distance-(trip_distance):">Exercise 1.4 – Isolate the <code>fare_amount</code>, <code>tip_amount</code>, <code>tolls_amount</code>, and <code>total_amount</code> for the longest trip by distance (<code>trip_distance</code>):<a class="anchor-link" href="#Exercise-1.4-%E2%80%93-Isolate-the-fare_amount,-tip_amount,-tolls_amount,-and-total_amount-for-the-longest-trip-by-distance-(trip_distance):">¶</a></h5>
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-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=14059a98-6ddf-417d-98fa-cd5f36130e03">
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[34]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [34]:</div>
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-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span>
     <span class="n">taxis</span><span class="o">.</span><span class="n">trip_distance</span><span class="o">.</span><span class="n">idxmax</span><span class="p">(),</span> 
-    <span class="p">[</span><span class="s1">&#39;fare_amount&#39;</span><span class="p">,</span> <span class="s1">&#39;tip_amount&#39;</span><span class="p">,</span> <span class="s1">&#39;tolls_amount&#39;</span><span class="p">,</span> <span class="s1">&#39;total_amount&#39;</span><span class="p">]</span>
+    <span class="p">[</span><span class="s1">'fare_amount'</span><span class="p">,</span> <span class="s1">'tip_amount'</span><span class="p">,</span> <span class="s1">'tolls_amount'</span><span class="p">,</span> <span class="s1">'total_amount'</span><span class="p">]</span>
 <span class="p">]</span>
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-
-     </div>
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-
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-<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[34]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
 <pre>fare_amount      176.0
 tip_amount       18.29
 tolls_amount      6.12
 total_amount    201.21
 Name: 8338, dtype: object</pre>
 </div>
-
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-
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-
 </div>
-
-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=8ebc5fdc-39fb-40c1-a1f1-e89d2186b826">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-<h2 id="Section-1-Complete-%F0%9F%8E%89">Section 1 Complete &#127881;<a class="anchor-link" href="#Section-1-Complete-%F0%9F%8E%89">&#182;</a></h2><img width="30%" src="https://www.pngkey.com/png/detail/11-115894_giant-panda-bear-cuteness-panda-with-bamboo-cartoon.png" alt="Giant Panda Bear Cuteness - Panda With Bamboo Cartoon@pngkey.com" style="min-width: 300px">
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Section-1-Complete-%F0%9F%8E%89">Section 1 Complete 🎉<a class="anchor-link" href="#Section-1-Complete-%F0%9F%8E%89">¶</a></h2><img alt="Giant Panda Bear Cuteness - Panda With Bamboo Cartoon@pngkey.com" src="https://www.pngkey.com/png/detail/11-115894_giant-panda-bear-cuteness-panda-with-bamboo-cartoon.png" style="min-width: 300px" width="30%"/>
 </div>
 </div>
 </div>
-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=a0745604-3c71-4c7f-8b5c-b6cc0ecec3c3">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-<h1 id="Section-2:-Data-Wrangling">Section 2: Data Wrangling<a class="anchor-link" href="#Section-2:-Data-Wrangling">&#182;</a></h1><p>To prepare our data for analysis, we need to perform data wrangling. In this section, we will learn how to clean and reformat data (e.g., renaming columns and fixing data type mismatches), restructure/reshape it, and enrich it (e.g., discretizing columns, calculating aggregations, and combining data sources).</p>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_section-2" data-mime-type="text/markdown">
+<h1 id="Section-2:-Data-Wrangling">Section 2: Data Wrangling<a class="anchor-link" href="#Section-2:-Data-Wrangling">¶</a></h1><p>To prepare our data for analysis, we need to perform data wrangling. In this section, we will learn how to clean and reformat data (e.g., renaming columns and fixing data type mismatches), restructure/reshape it, and enrich it (e.g., discretizing columns, calculating aggregations, and combining data sources).</p>
 <div style="text-align: center;">
-    <img width="30%" src="https://images.ctfassets.net/cnu0m8re1exe/I3pMkGv5UGGmNN1tB4XG0/73edfcdbe6e1637e5e79e0c3a2d25fbb/panda.jpg?fm=jpg&fl=progressive&w=660&h=433&fit=fill" alt="Panda with bamboo" style="min-width: 300px">
-    <div><small><em><a href="https://www.discovermagazine.com/planet-earth/how-pandas-survive-on-a-diet-of-only-bamboo">Source</a></em></small></div>
+<img alt="Panda with bamboo" src="https://images.ctfassets.net/cnu0m8re1exe/I3pMkGv5UGGmNN1tB4XG0/73edfcdbe6e1637e5e79e0c3a2d25fbb/panda.jpg?fm=jpg&amp;fl=progressive&amp;w=660&amp;h=433&amp;fit=fill" style="min-width: 300px" width="30%"/>
+<div><small><em><a href="https://www.discovermagazine.com/planet-earth/how-pandas-survive-on-a-diet-of-only-bamboo">Source</a></em></small></div>
 </div>
-
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 </div>
 </div>
-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=3cfd9085-0758-475d-846d-a2607bdc478c">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">&#182;</a></h2><ol>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">¶</a></h2><ol>
 <li><strong>Data cleaning</strong></li>
 <li>Working with the index</li>
 <li>Reshaping data</li>
 <li>Aggregations and grouping</li>
 <li>Time series</li>
 </ol>
-
 </div>
 </div>
 </div>
-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=9848c0e0-b1df-4273-b37a-c155f69db4e0">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-<h2 id="Data-cleaning">Data cleaning<a class="anchor-link" href="#Data-cleaning">&#182;</a></h2><p>In this section, we will take a look at creating, renaming, and dropping columns; type conversion; and sorting – all of which make our analysis easier. We will be working with the 2019 Yellow Taxi Trip Data provided by NYC Open Data.</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_data-cleaning" data-mime-type="text/markdown">
+<h2 id="Data-cleaning">Data cleaning<a class="anchor-link" href="#Data-cleaning">¶</a></h2><p>In this section, we will take a look at creating, renaming, and dropping columns; type conversion; and sorting – all of which make our analysis easier. We will be working with the 2019 Yellow Taxi Trip Data provided by NYC Open Data.</p>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=ede5b9c9-32b8-47b7-a120-1ed969c147a3">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[1]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
 
-<span class="n">taxis</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;../data/2019_Yellow_Taxi_Trip_Data.csv&#39;</span><span class="p">)</span>
+<span class="n">taxis</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">'../data/2019_Yellow_Taxi_Trip_Data.csv'</span><span class="p">)</span>
 <span class="n">taxis</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[1]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[1]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -18864,245 +10626,218 @@ <h2 id="Data-cleaning">Data cleaning<a class="anchor-link" href="#Data-cleaning"
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>vendorid</th>
-      <th>tpep_pickup_datetime</th>
-      <th>tpep_dropoff_datetime</th>
-      <th>passenger_count</th>
-      <th>trip_distance</th>
-      <th>ratecodeid</th>
-      <th>store_and_fwd_flag</th>
-      <th>pulocationid</th>
-      <th>dolocationid</th>
-      <th>payment_type</th>
-      <th>fare_amount</th>
-      <th>extra</th>
-      <th>mta_tax</th>
-      <th>tip_amount</th>
-      <th>tolls_amount</th>
-      <th>improvement_surcharge</th>
-      <th>total_amount</th>
-      <th>congestion_surcharge</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>0</th>
-      <td>2</td>
-      <td>2019-10-23T16:39:42.000</td>
-      <td>2019-10-23T17:14:10.000</td>
-      <td>1</td>
-      <td>7.93</td>
-      <td>1</td>
-      <td>N</td>
-      <td>138</td>
-      <td>170</td>
-      <td>1</td>
-      <td>29.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>7.98</td>
-      <td>6.12</td>
-      <td>0.3</td>
-      <td>47.90</td>
-      <td>2.5</td>
-    </tr>
-    <tr>
-      <th>1</th>
-      <td>1</td>
-      <td>2019-10-23T16:32:08.000</td>
-      <td>2019-10-23T16:45:26.000</td>
-      <td>1</td>
-      <td>2.00</td>
-      <td>1</td>
-      <td>N</td>
-      <td>11</td>
-      <td>26</td>
-      <td>1</td>
-      <td>10.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.00</td>
-      <td>0.00</td>
-      <td>0.3</td>
-      <td>12.30</td>
-      <td>0.0</td>
-    </tr>
-    <tr>
-      <th>2</th>
-      <td>2</td>
-      <td>2019-10-23T16:08:44.000</td>
-      <td>2019-10-23T16:21:11.000</td>
-      <td>1</td>
-      <td>1.36</td>
-      <td>1</td>
-      <td>N</td>
-      <td>163</td>
-      <td>162</td>
-      <td>1</td>
-      <td>9.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>2.00</td>
-      <td>0.00</td>
-      <td>0.3</td>
-      <td>15.80</td>
-      <td>2.5</td>
-    </tr>
-    <tr>
-      <th>3</th>
-      <td>2</td>
-      <td>2019-10-23T16:22:44.000</td>
-      <td>2019-10-23T16:43:26.000</td>
-      <td>1</td>
-      <td>1.00</td>
-      <td>1</td>
-      <td>N</td>
-      <td>170</td>
-      <td>163</td>
-      <td>1</td>
-      <td>13.0</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>4.32</td>
-      <td>0.00</td>
-      <td>0.3</td>
-      <td>21.62</td>
-      <td>2.5</td>
-    </tr>
-    <tr>
-      <th>4</th>
-      <td>2</td>
-      <td>2019-10-23T16:45:11.000</td>
-      <td>2019-10-23T16:58:49.000</td>
-      <td>1</td>
-      <td>1.96</td>
-      <td>1</td>
-      <td>N</td>
-      <td>163</td>
-      <td>236</td>
-      <td>1</td>
-      <td>10.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.50</td>
-      <td>0.00</td>
-      <td>0.3</td>
-      <td>15.30</td>
-      <td>2.5</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>vendorid</th>
+<th>tpep_pickup_datetime</th>
+<th>tpep_dropoff_datetime</th>
+<th>passenger_count</th>
+<th>trip_distance</th>
+<th>ratecodeid</th>
+<th>store_and_fwd_flag</th>
+<th>pulocationid</th>
+<th>dolocationid</th>
+<th>payment_type</th>
+<th>fare_amount</th>
+<th>extra</th>
+<th>mta_tax</th>
+<th>tip_amount</th>
+<th>tolls_amount</th>
+<th>improvement_surcharge</th>
+<th>total_amount</th>
+<th>congestion_surcharge</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>0</th>
+<td>2</td>
+<td>2019-10-23T16:39:42.000</td>
+<td>2019-10-23T17:14:10.000</td>
+<td>1</td>
+<td>7.93</td>
+<td>1</td>
+<td>N</td>
+<td>138</td>
+<td>170</td>
+<td>1</td>
+<td>29.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>7.98</td>
+<td>6.12</td>
+<td>0.3</td>
+<td>47.90</td>
+<td>2.5</td>
+</tr>
+<tr>
+<th>1</th>
+<td>1</td>
+<td>2019-10-23T16:32:08.000</td>
+<td>2019-10-23T16:45:26.000</td>
+<td>1</td>
+<td>2.00</td>
+<td>1</td>
+<td>N</td>
+<td>11</td>
+<td>26</td>
+<td>1</td>
+<td>10.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.00</td>
+<td>0.00</td>
+<td>0.3</td>
+<td>12.30</td>
+<td>0.0</td>
+</tr>
+<tr>
+<th>2</th>
+<td>2</td>
+<td>2019-10-23T16:08:44.000</td>
+<td>2019-10-23T16:21:11.000</td>
+<td>1</td>
+<td>1.36</td>
+<td>1</td>
+<td>N</td>
+<td>163</td>
+<td>162</td>
+<td>1</td>
+<td>9.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>2.00</td>
+<td>0.00</td>
+<td>0.3</td>
+<td>15.80</td>
+<td>2.5</td>
+</tr>
+<tr>
+<th>3</th>
+<td>2</td>
+<td>2019-10-23T16:22:44.000</td>
+<td>2019-10-23T16:43:26.000</td>
+<td>1</td>
+<td>1.00</td>
+<td>1</td>
+<td>N</td>
+<td>170</td>
+<td>163</td>
+<td>1</td>
+<td>13.0</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>4.32</td>
+<td>0.00</td>
+<td>0.3</td>
+<td>21.62</td>
+<td>2.5</td>
+</tr>
+<tr>
+<th>4</th>
+<td>2</td>
+<td>2019-10-23T16:45:11.000</td>
+<td>2019-10-23T16:58:49.000</td>
+<td>1</td>
+<td>1.96</td>
+<td>1</td>
+<td>N</td>
+<td>163</td>
+<td>236</td>
+<td>1</td>
+<td>10.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.50</td>
+<td>0.00</td>
+<td>0.3</td>
+<td>15.30</td>
+<td>2.5</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
 </div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=3dd3c1fe-19e4-4986-9feb-462d8e6068d6">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><em>Source: <a href="https://data.cityofnewyork.us/Transportation/2019-Yellow-Taxi-Trip-Data/2upf-qytp">NYC Open Data</a> collected via <a href="https://dev.socrata.com/foundry/data.cityofnewyork.us/2upf-qytp">SODA</a>.</em></p>
-
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=d08f2fdb-87b2-4664-a295-84ce81617c7f">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_dropping-columns" data-mime-type="text/markdown">
-<h3 id="Dropping-columns">Dropping columns<a class="anchor-link" href="#Dropping-columns">&#182;</a></h3><p>Let's start by dropping the ID columns and the <code>store_and_fwd_flag</code> column, which we won't be using.</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_dropping-columns" data-mime-type="text/markdown">
+<h3 id="Dropping-columns">Dropping columns<a class="anchor-link" href="#Dropping-columns">¶</a></h3><p>Let's start by dropping the ID columns and the <code>store_and_fwd_flag</code> column, which we won't be using.</p>
 </div>
 </div>
 </div>
-</div><div class="fragment" ><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=0966f1df-b5c2-4383-aedb-f1d03b2be5d1">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[2]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [2]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mask</span> <span class="o">=</span> <span class="n">taxis</span><span class="o">.</span><span class="n">columns</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">contains</span><span class="p">(</span><span class="s1">&#39;id$|store_and_fwd_flag&#39;</span><span class="p">,</span> <span class="n">regex</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">mask</span> <span class="o">=</span> <span class="n">taxis</span><span class="o">.</span><span class="n">columns</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">contains</span><span class="p">(</span><span class="s1">'id$|store_and_fwd_flag'</span><span class="p">,</span> <span class="n">regex</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
 <span class="n">columns_to_drop</span> <span class="o">=</span> <span class="n">taxis</span><span class="o">.</span><span class="n">columns</span><span class="p">[</span><span class="n">mask</span><span class="p">]</span>
 <span class="n">columns_to_drop</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[2]:</div>
-
-
-
-
-<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>Index([&#39;vendorid&#39;, &#39;ratecodeid&#39;, &#39;store_and_fwd_flag&#39;, &#39;pulocationid&#39;,
-       &#39;dolocationid&#39;],
-      dtype=&#39;object&#39;)</pre>
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[2]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>Index(['vendorid', 'ratecodeid', 'store_and_fwd_flag', 'pulocationid',
+       'dolocationid'],
+      dtype='object')</pre>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></div></section><section ><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=6b7cd6d9-a7fb-4be0-9d34-1dd57ddca9c0">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[3]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [3]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">taxis</span> <span class="o">=</span> <span class="n">taxis</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="n">columns_to_drop</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">taxis</span> <span class="o">=</span> <span class="n">taxis</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="n">columns_to_drop</span><span class="p">)</span>
 <span class="n">taxis</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[3]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[3]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -19116,230 +10851,201 @@ <h3 id="Dropping-columns">Dropping columns<a class="anchor-link" href="#Dropping
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>tpep_pickup_datetime</th>
-      <th>tpep_dropoff_datetime</th>
-      <th>passenger_count</th>
-      <th>trip_distance</th>
-      <th>payment_type</th>
-      <th>fare_amount</th>
-      <th>extra</th>
-      <th>mta_tax</th>
-      <th>tip_amount</th>
-      <th>tolls_amount</th>
-      <th>improvement_surcharge</th>
-      <th>total_amount</th>
-      <th>congestion_surcharge</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>0</th>
-      <td>2019-10-23T16:39:42.000</td>
-      <td>2019-10-23T17:14:10.000</td>
-      <td>1</td>
-      <td>7.93</td>
-      <td>1</td>
-      <td>29.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>7.98</td>
-      <td>6.12</td>
-      <td>0.3</td>
-      <td>47.90</td>
-      <td>2.5</td>
-    </tr>
-    <tr>
-      <th>1</th>
-      <td>2019-10-23T16:32:08.000</td>
-      <td>2019-10-23T16:45:26.000</td>
-      <td>1</td>
-      <td>2.00</td>
-      <td>1</td>
-      <td>10.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.00</td>
-      <td>0.00</td>
-      <td>0.3</td>
-      <td>12.30</td>
-      <td>0.0</td>
-    </tr>
-    <tr>
-      <th>2</th>
-      <td>2019-10-23T16:08:44.000</td>
-      <td>2019-10-23T16:21:11.000</td>
-      <td>1</td>
-      <td>1.36</td>
-      <td>1</td>
-      <td>9.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>2.00</td>
-      <td>0.00</td>
-      <td>0.3</td>
-      <td>15.80</td>
-      <td>2.5</td>
-    </tr>
-    <tr>
-      <th>3</th>
-      <td>2019-10-23T16:22:44.000</td>
-      <td>2019-10-23T16:43:26.000</td>
-      <td>1</td>
-      <td>1.00</td>
-      <td>1</td>
-      <td>13.0</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>4.32</td>
-      <td>0.00</td>
-      <td>0.3</td>
-      <td>21.62</td>
-      <td>2.5</td>
-    </tr>
-    <tr>
-      <th>4</th>
-      <td>2019-10-23T16:45:11.000</td>
-      <td>2019-10-23T16:58:49.000</td>
-      <td>1</td>
-      <td>1.96</td>
-      <td>1</td>
-      <td>10.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.50</td>
-      <td>0.00</td>
-      <td>0.3</td>
-      <td>15.30</td>
-      <td>2.5</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>tpep_pickup_datetime</th>
+<th>tpep_dropoff_datetime</th>
+<th>passenger_count</th>
+<th>trip_distance</th>
+<th>payment_type</th>
+<th>fare_amount</th>
+<th>extra</th>
+<th>mta_tax</th>
+<th>tip_amount</th>
+<th>tolls_amount</th>
+<th>improvement_surcharge</th>
+<th>total_amount</th>
+<th>congestion_surcharge</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>0</th>
+<td>2019-10-23T16:39:42.000</td>
+<td>2019-10-23T17:14:10.000</td>
+<td>1</td>
+<td>7.93</td>
+<td>1</td>
+<td>29.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>7.98</td>
+<td>6.12</td>
+<td>0.3</td>
+<td>47.90</td>
+<td>2.5</td>
+</tr>
+<tr>
+<th>1</th>
+<td>2019-10-23T16:32:08.000</td>
+<td>2019-10-23T16:45:26.000</td>
+<td>1</td>
+<td>2.00</td>
+<td>1</td>
+<td>10.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.00</td>
+<td>0.00</td>
+<td>0.3</td>
+<td>12.30</td>
+<td>0.0</td>
+</tr>
+<tr>
+<th>2</th>
+<td>2019-10-23T16:08:44.000</td>
+<td>2019-10-23T16:21:11.000</td>
+<td>1</td>
+<td>1.36</td>
+<td>1</td>
+<td>9.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>2.00</td>
+<td>0.00</td>
+<td>0.3</td>
+<td>15.80</td>
+<td>2.5</td>
+</tr>
+<tr>
+<th>3</th>
+<td>2019-10-23T16:22:44.000</td>
+<td>2019-10-23T16:43:26.000</td>
+<td>1</td>
+<td>1.00</td>
+<td>1</td>
+<td>13.0</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>4.32</td>
+<td>0.00</td>
+<td>0.3</td>
+<td>21.62</td>
+<td>2.5</td>
+</tr>
+<tr>
+<th>4</th>
+<td>2019-10-23T16:45:11.000</td>
+<td>2019-10-23T16:58:49.000</td>
+<td>1</td>
+<td>1.96</td>
+<td>1</td>
+<td>10.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.50</td>
+<td>0.00</td>
+<td>0.3</td>
+<td>15.30</td>
+<td>2.5</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=db7f5fca-b5cc-477c-bbf2-3c2cbcc2ae04">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><em>Tip: Another way to do this is to select the columns we want to keep: <code>taxis.loc[:,~mask]</code>.</em></p>
-
 </div>
 </div>
 </div>
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=ad7cdd18-ef14-4a67-a4ad-8a1d8015cbb9">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_renaming-columns" data-mime-type="text/markdown">
-<h3 id="Renaming-columns">Renaming columns<a class="anchor-link" href="#Renaming-columns">&#182;</a></h3><p>Next, let's rename the datetime columns:</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_renaming-columns" data-mime-type="text/markdown">
+<h3 id="Renaming-columns">Renaming columns<a class="anchor-link" href="#Renaming-columns">¶</a></h3><p>Next, let's rename the datetime columns:</p>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=b3dbfd72-0d37-4fce-b6c1-a3178afc59b1">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[4]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [4]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">taxis</span> <span class="o">=</span> <span class="n">taxis</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">taxis</span> <span class="o">=</span> <span class="n">taxis</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span>
     <span class="n">columns</span><span class="o">=</span><span class="p">{</span>
-        <span class="s1">&#39;tpep_pickup_datetime&#39;</span><span class="p">:</span> <span class="s1">&#39;pickup&#39;</span><span class="p">,</span> 
-        <span class="s1">&#39;tpep_dropoff_datetime&#39;</span><span class="p">:</span> <span class="s1">&#39;dropoff&#39;</span>
+        <span class="s1">'tpep_pickup_datetime'</span><span class="p">:</span> <span class="s1">'pickup'</span><span class="p">,</span> 
+        <span class="s1">'tpep_dropoff_datetime'</span><span class="p">:</span> <span class="s1">'dropoff'</span>
     <span class="p">}</span>
 <span class="p">)</span>
 <span class="n">taxis</span><span class="o">.</span><span class="n">columns</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[4]:</div>
-
-
-
-
-<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>Index([&#39;pickup&#39;, &#39;dropoff&#39;, &#39;passenger_count&#39;, &#39;trip_distance&#39;, &#39;payment_type&#39;,
-       &#39;fare_amount&#39;, &#39;extra&#39;, &#39;mta_tax&#39;, &#39;tip_amount&#39;, &#39;tolls_amount&#39;,
-       &#39;improvement_surcharge&#39;, &#39;total_amount&#39;, &#39;congestion_surcharge&#39;],
-      dtype=&#39;object&#39;)</pre>
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[4]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>Index(['pickup', 'dropoff', 'passenger_count', 'trip_distance', 'payment_type',
+       'fare_amount', 'extra', 'mta_tax', 'tip_amount', 'tolls_amount',
+       'improvement_surcharge', 'total_amount', 'congestion_surcharge'],
+      dtype='object')</pre>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=0750fd20-a823-4eed-961c-d3f0cf9a18aa">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_type-conversion" data-mime-type="text/markdown">
-<h3 id="Type-conversion">Type conversion<a class="anchor-link" href="#Type-conversion">&#182;</a></h3><p>Notice anything off with the data types?</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_type-conversion" data-mime-type="text/markdown">
+<h3 id="Type-conversion">Type conversion<a class="anchor-link" href="#Type-conversion">¶</a></h3><p>Notice anything off with the data types?</p>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=4654ced7-f1aa-4be8-ba67-d3ce7a4d3a84">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[5]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [5]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="o">.</span><span class="n">dtypes</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="o">.</span><span class="n">dtypes</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[5]:</div>
-
-
-
-
-<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[5]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
 <pre>pickup                    object
 dropoff                   object
 passenger_count            int64
@@ -19355,57 +11061,43 @@ <h3 id="Type-conversion">Type conversion<a class="anchor-link" href="#Type-conve
 congestion_surcharge     float64
 dtype: object</pre>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=d847ee9a-93b0-4ae9-a202-2ff99fbd0561">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Both <code>pickup</code> and <code>dropoff</code> should be stored as datetimes. Let's fix this:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=d17a0e74-52fc-47ff-b28e-b594e3ce01c2">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[6]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [6]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="p">[[</span><span class="s1">&#39;pickup&#39;</span><span class="p">,</span> <span class="s1">&#39;dropoff&#39;</span><span class="p">]]</span> <span class="o">=</span> \
-    <span class="n">taxis</span><span class="p">[[</span><span class="s1">&#39;pickup&#39;</span><span class="p">,</span> <span class="s1">&#39;dropoff&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="p">[[</span><span class="s1">'pickup'</span><span class="p">,</span> <span class="s1">'dropoff'</span><span class="p">]]</span> <span class="o">=</span> \
+    <span class="n">taxis</span><span class="p">[[</span><span class="s1">'pickup'</span><span class="p">,</span> <span class="s1">'dropoff'</span><span class="p">]]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">)</span>
 <span class="n">taxis</span><span class="o">.</span><span class="n">dtypes</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[6]:</div>
-
-
-
-
-<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[6]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
 <pre>pickup                   datetime64[ns]
 dropoff                  datetime64[ns]
 passenger_count                   int64
@@ -19421,52 +11113,46 @@ <h3 id="Type-conversion">Type conversion<a class="anchor-link" href="#Type-conve
 congestion_surcharge            float64
 dtype: object</pre>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
 </div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=01779303-7f6d-49c7-8a7a-640cfdff2251">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><em>Tip: There are other ways to perform type conversion. For numeric values, we can use the <code>pd.to_numeric()</code> function, and we will see the <code>astype()</code> method, which is a more generic method, a little later.</em></p>
-
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=989cfa03-5fae-4a9a-82e3-4153ad3f2c27">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_creating-new-columns" data-mime-type="text/markdown">
-<h3 id="Creating-new-columns">Creating new columns<a class="anchor-link" href="#Creating-new-columns">&#182;</a></h3><p>Let's calculate the following for each row:</p>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_creating-new-columns" data-mime-type="text/markdown">
+<h3 id="Creating-new-columns">Creating new columns<a class="anchor-link" href="#Creating-new-columns">¶</a></h3><p>Let's calculate the following for each row:</p>
 <ol>
 <li>elapsed time of the trip</li>
 <li>the tip percentage</li>
 <li>the total taxes, tolls, fees, and surcharges</li>
 <li>the average speed of the taxi</li>
 </ol>
-
 </div>
 </div>
 </div>
-</div><div class="fragment" ><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=b95a6701-7070-4525-95f1-44d02b847d8f">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[7]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [7]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">taxis</span> <span class="o">=</span> <span class="n">taxis</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">taxis</span> <span class="o">=</span> <span class="n">taxis</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
     <span class="n">elapsed_time</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">dropoff</span> <span class="o">-</span> <span class="n">x</span><span class="o">.</span><span class="n">pickup</span><span class="p">,</span> <span class="c1"># 1</span>
     <span class="n">cost_before_tip</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">total_amount</span> <span class="o">-</span> <span class="n">x</span><span class="o">.</span><span class="n">tip_amount</span><span class="p">,</span>
     <span class="n">tip_pct</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">tip_amount</span> <span class="o">/</span> <span class="n">x</span><span class="o">.</span><span class="n">cost_before_tip</span><span class="p">,</span> <span class="c1"># 2</span>
@@ -19476,67 +11162,55 @@ <h3 id="Creating-new-columns">Creating new columns<a class="anchor-link" href="#
     <span class="p">)</span> <span class="c1"># 4</span>
 <span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
 </div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=6c87ad15-a398-46a3-b0d6-d50312f9e5c3">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><em>Tip: New to <code>lambda</code> functions? These small, anonymous functions can receive multiple arguments, but can only contain one expression (the return value). You will see these a lot in pandas code. Read more about them <a href="https://realpython.com/python-lambda/">here</a>.</em></p>
-
 </div>
 </div>
 </div>
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=91d1480f-22ca-4092-9f9b-ef0b8fe92226">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Our new columns get added to the right:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=80c0d81d-7d8a-4ecf-9410-37fc2a5c7221">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[8]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [8]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[8]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[8]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -19550,142 +11224,128 @@ <h3 id="Creating-new-columns">Creating new columns<a class="anchor-link" href="#
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>pickup</th>
-      <th>dropoff</th>
-      <th>passenger_count</th>
-      <th>trip_distance</th>
-      <th>payment_type</th>
-      <th>fare_amount</th>
-      <th>extra</th>
-      <th>mta_tax</th>
-      <th>tip_amount</th>
-      <th>tolls_amount</th>
-      <th>improvement_surcharge</th>
-      <th>total_amount</th>
-      <th>congestion_surcharge</th>
-      <th>elapsed_time</th>
-      <th>cost_before_tip</th>
-      <th>tip_pct</th>
-      <th>fees</th>
-      <th>avg_speed</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>0</th>
-      <td>2019-10-23 16:39:42</td>
-      <td>2019-10-23 17:14:10</td>
-      <td>1</td>
-      <td>7.93</td>
-      <td>1</td>
-      <td>29.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>7.98</td>
-      <td>6.12</td>
-      <td>0.3</td>
-      <td>47.9</td>
-      <td>2.5</td>
-      <td>0 days 00:34:28</td>
-      <td>39.92</td>
-      <td>0.1999</td>
-      <td>10.42</td>
-      <td>13.804642</td>
-    </tr>
-    <tr>
-      <th>1</th>
-      <td>2019-10-23 16:32:08</td>
-      <td>2019-10-23 16:45:26</td>
-      <td>1</td>
-      <td>2.00</td>
-      <td>1</td>
-      <td>10.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.00</td>
-      <td>0.00</td>
-      <td>0.3</td>
-      <td>12.3</td>
-      <td>0.0</td>
-      <td>0 days 00:13:18</td>
-      <td>12.30</td>
-      <td>0.0000</td>
-      <td>1.80</td>
-      <td>9.022556</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>pickup</th>
+<th>dropoff</th>
+<th>passenger_count</th>
+<th>trip_distance</th>
+<th>payment_type</th>
+<th>fare_amount</th>
+<th>extra</th>
+<th>mta_tax</th>
+<th>tip_amount</th>
+<th>tolls_amount</th>
+<th>improvement_surcharge</th>
+<th>total_amount</th>
+<th>congestion_surcharge</th>
+<th>elapsed_time</th>
+<th>cost_before_tip</th>
+<th>tip_pct</th>
+<th>fees</th>
+<th>avg_speed</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>0</th>
+<td>2019-10-23 16:39:42</td>
+<td>2019-10-23 17:14:10</td>
+<td>1</td>
+<td>7.93</td>
+<td>1</td>
+<td>29.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>7.98</td>
+<td>6.12</td>
+<td>0.3</td>
+<td>47.9</td>
+<td>2.5</td>
+<td>0 days 00:34:28</td>
+<td>39.92</td>
+<td>0.1999</td>
+<td>10.42</td>
+<td>13.804642</td>
+</tr>
+<tr>
+<th>1</th>
+<td>2019-10-23 16:32:08</td>
+<td>2019-10-23 16:45:26</td>
+<td>1</td>
+<td>2.00</td>
+<td>1</td>
+<td>10.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.00</td>
+<td>0.00</td>
+<td>0.3</td>
+<td>12.3</td>
+<td>0.0</td>
+<td>0 days 00:13:18</td>
+<td>12.30</td>
+<td>0.0000</td>
+<td>1.80</td>
+<td>9.022556</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=2753e957-b033-4642-a353-bd369d0672e1">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Some things to note:</p>
 <ul>
 <li>We used <code>lambda</code> functions to 1) avoid typing <code>taxis</code> repeatedly and 2) be able to access the <code>cost_before_tip</code> and <code>elapsed_time</code> columns in the same method that we create them.</li>
 <li>To create a single new column, we can also use <code>df['new_col'] = &lt;values&gt;</code>.</li>
 </ul>
-
 </div>
 </div>
 </div>
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=c2d275c1-c1c6-4bd2-a645-4921e2955884">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_sorting-by-values" data-mime-type="text/markdown">
-<h3 id="Sorting-by-values">Sorting by values<a class="anchor-link" href="#Sorting-by-values">&#182;</a></h3><p>We can use the <code>sort_values()</code> method to sort based on any number of columns:</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_sorting-by-values" data-mime-type="text/markdown">
+<h3 id="Sorting-by-values">Sorting by values<a class="anchor-link" href="#Sorting-by-values">¶</a></h3><p>We can use the <code>sort_values()</code> method to sort based on any number of columns:</p>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=e22b6e1c-56ae-4800-bedd-bad7006a8a7f">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[9]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [9]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="o">.</span><span class="n">sort_values</span><span class="p">([</span><span class="s1">&#39;passenger_count&#39;</span><span class="p">,</span> <span class="s1">&#39;pickup&#39;</span><span class="p">],</span> <span class="n">ascending</span><span class="o">=</span><span class="p">[</span><span class="kc">False</span><span class="p">,</span> <span class="kc">True</span><span class="p">])</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="o">.</span><span class="n">sort_values</span><span class="p">([</span><span class="s1">'passenger_count'</span><span class="p">,</span> <span class="s1">'pickup'</span><span class="p">],</span> <span class="n">ascending</span><span class="o">=</span><span class="p">[</span><span class="kc">False</span><span class="p">,</span> <span class="kc">True</span><span class="p">])</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[9]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[9]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -19699,189 +11359,176 @@ <h3 id="Sorting-by-values">Sorting by values<a class="anchor-link" href="#Sortin
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>pickup</th>
-      <th>dropoff</th>
-      <th>passenger_count</th>
-      <th>trip_distance</th>
-      <th>payment_type</th>
-      <th>fare_amount</th>
-      <th>extra</th>
-      <th>mta_tax</th>
-      <th>tip_amount</th>
-      <th>tolls_amount</th>
-      <th>improvement_surcharge</th>
-      <th>total_amount</th>
-      <th>congestion_surcharge</th>
-      <th>elapsed_time</th>
-      <th>cost_before_tip</th>
-      <th>tip_pct</th>
-      <th>fees</th>
-      <th>avg_speed</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>5997</th>
-      <td>2019-10-23 15:55:19</td>
-      <td>2019-10-23 16:08:25</td>
-      <td>6</td>
-      <td>1.58</td>
-      <td>2</td>
-      <td>10.0</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.0</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>14.3</td>
-      <td>2.5</td>
-      <td>0 days 00:13:06</td>
-      <td>14.3</td>
-      <td>0.000000</td>
-      <td>4.3</td>
-      <td>7.236641</td>
-    </tr>
-    <tr>
-      <th>443</th>
-      <td>2019-10-23 15:56:59</td>
-      <td>2019-10-23 16:04:33</td>
-      <td>6</td>
-      <td>1.46</td>
-      <td>2</td>
-      <td>7.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.0</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>11.8</td>
-      <td>2.5</td>
-      <td>0 days 00:07:34</td>
-      <td>11.8</td>
-      <td>0.000000</td>
-      <td>4.3</td>
-      <td>11.577093</td>
-    </tr>
-    <tr>
-      <th>8722</th>
-      <td>2019-10-23 15:57:33</td>
-      <td>2019-10-23 16:03:34</td>
-      <td>6</td>
-      <td>0.62</td>
-      <td>1</td>
-      <td>5.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.7</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>10.5</td>
-      <td>2.5</td>
-      <td>0 days 00:06:01</td>
-      <td>9.8</td>
-      <td>0.071429</td>
-      <td>4.3</td>
-      <td>6.182825</td>
-    </tr>
-    <tr>
-      <th>4198</th>
-      <td>2019-10-23 15:57:38</td>
-      <td>2019-10-23 16:05:07</td>
-      <td>6</td>
-      <td>1.18</td>
-      <td>1</td>
-      <td>7.0</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>1.0</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>12.3</td>
-      <td>2.5</td>
-      <td>0 days 00:07:29</td>
-      <td>11.3</td>
-      <td>0.088496</td>
-      <td>4.3</td>
-      <td>9.461024</td>
-    </tr>
-    <tr>
-      <th>8238</th>
-      <td>2019-10-23 15:58:31</td>
-      <td>2019-10-23 16:29:29</td>
-      <td>6</td>
-      <td>3.23</td>
-      <td>2</td>
-      <td>19.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.0</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>23.8</td>
-      <td>2.5</td>
-      <td>0 days 00:30:58</td>
-      <td>23.8</td>
-      <td>0.000000</td>
-      <td>4.3</td>
-      <td>6.258342</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>pickup</th>
+<th>dropoff</th>
+<th>passenger_count</th>
+<th>trip_distance</th>
+<th>payment_type</th>
+<th>fare_amount</th>
+<th>extra</th>
+<th>mta_tax</th>
+<th>tip_amount</th>
+<th>tolls_amount</th>
+<th>improvement_surcharge</th>
+<th>total_amount</th>
+<th>congestion_surcharge</th>
+<th>elapsed_time</th>
+<th>cost_before_tip</th>
+<th>tip_pct</th>
+<th>fees</th>
+<th>avg_speed</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>5997</th>
+<td>2019-10-23 15:55:19</td>
+<td>2019-10-23 16:08:25</td>
+<td>6</td>
+<td>1.58</td>
+<td>2</td>
+<td>10.0</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>14.3</td>
+<td>2.5</td>
+<td>0 days 00:13:06</td>
+<td>14.3</td>
+<td>0.000000</td>
+<td>4.3</td>
+<td>7.236641</td>
+</tr>
+<tr>
+<th>443</th>
+<td>2019-10-23 15:56:59</td>
+<td>2019-10-23 16:04:33</td>
+<td>6</td>
+<td>1.46</td>
+<td>2</td>
+<td>7.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>11.8</td>
+<td>2.5</td>
+<td>0 days 00:07:34</td>
+<td>11.8</td>
+<td>0.000000</td>
+<td>4.3</td>
+<td>11.577093</td>
+</tr>
+<tr>
+<th>8722</th>
+<td>2019-10-23 15:57:33</td>
+<td>2019-10-23 16:03:34</td>
+<td>6</td>
+<td>0.62</td>
+<td>1</td>
+<td>5.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.7</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>10.5</td>
+<td>2.5</td>
+<td>0 days 00:06:01</td>
+<td>9.8</td>
+<td>0.071429</td>
+<td>4.3</td>
+<td>6.182825</td>
+</tr>
+<tr>
+<th>4198</th>
+<td>2019-10-23 15:57:38</td>
+<td>2019-10-23 16:05:07</td>
+<td>6</td>
+<td>1.18</td>
+<td>1</td>
+<td>7.0</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>1.0</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>12.3</td>
+<td>2.5</td>
+<td>0 days 00:07:29</td>
+<td>11.3</td>
+<td>0.088496</td>
+<td>4.3</td>
+<td>9.461024</td>
+</tr>
+<tr>
+<th>8238</th>
+<td>2019-10-23 15:58:31</td>
+<td>2019-10-23 16:29:29</td>
+<td>6</td>
+<td>3.23</td>
+<td>2</td>
+<td>19.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>23.8</td>
+<td>2.5</td>
+<td>0 days 00:30:58</td>
+<td>23.8</td>
+<td>0.000000</td>
+<td>4.3</td>
+<td>6.258342</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=61ae6ae1-1a3d-4e50-bade-15126240e2f5">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_nlargest-and-nsmallest" data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_nlargest-and-nsmallest" data-mime-type="text/markdown">
 <p>To pick out the largest/smallest rows, use <code>nlargest()</code> / <code>nsmallest()</code> instead. Looking at the 3 trips with the longest elapsed time, we see some possible data integrity issues:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=a76377c8-b3a7-4da4-b763-36bd974fe89e">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[10]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [10]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="o">.</span><span class="n">nlargest</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="s1">&#39;elapsed_time&#39;</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="o">.</span><span class="n">nlargest</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="s1">'elapsed_time'</span><span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[10]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[10]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -19895,164 +11542,152 @@ <h3 id="Sorting-by-values">Sorting by values<a class="anchor-link" href="#Sortin
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>pickup</th>
-      <th>dropoff</th>
-      <th>passenger_count</th>
-      <th>trip_distance</th>
-      <th>payment_type</th>
-      <th>fare_amount</th>
-      <th>extra</th>
-      <th>mta_tax</th>
-      <th>tip_amount</th>
-      <th>tolls_amount</th>
-      <th>improvement_surcharge</th>
-      <th>total_amount</th>
-      <th>congestion_surcharge</th>
-      <th>elapsed_time</th>
-      <th>cost_before_tip</th>
-      <th>tip_pct</th>
-      <th>fees</th>
-      <th>avg_speed</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>7576</th>
-      <td>2019-10-23 16:52:51</td>
-      <td>2019-10-24 16:51:44</td>
-      <td>1</td>
-      <td>3.75</td>
-      <td>1</td>
-      <td>17.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.0</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>21.8</td>
-      <td>2.5</td>
-      <td>0 days 23:58:53</td>
-      <td>21.8</td>
-      <td>0.0</td>
-      <td>4.3</td>
-      <td>0.156371</td>
-    </tr>
-    <tr>
-      <th>6902</th>
-      <td>2019-10-23 16:51:42</td>
-      <td>2019-10-24 16:50:22</td>
-      <td>1</td>
-      <td>11.19</td>
-      <td>2</td>
-      <td>39.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.0</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>41.3</td>
-      <td>0.0</td>
-      <td>0 days 23:58:40</td>
-      <td>41.3</td>
-      <td>0.0</td>
-      <td>1.8</td>
-      <td>0.466682</td>
-    </tr>
-    <tr>
-      <th>4975</th>
-      <td>2019-10-23 16:18:51</td>
-      <td>2019-10-24 16:17:30</td>
-      <td>1</td>
-      <td>0.70</td>
-      <td>2</td>
-      <td>7.0</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.0</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>11.3</td>
-      <td>2.5</td>
-      <td>0 days 23:58:39</td>
-      <td>11.3</td>
-      <td>0.0</td>
-      <td>4.3</td>
-      <td>0.029194</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>pickup</th>
+<th>dropoff</th>
+<th>passenger_count</th>
+<th>trip_distance</th>
+<th>payment_type</th>
+<th>fare_amount</th>
+<th>extra</th>
+<th>mta_tax</th>
+<th>tip_amount</th>
+<th>tolls_amount</th>
+<th>improvement_surcharge</th>
+<th>total_amount</th>
+<th>congestion_surcharge</th>
+<th>elapsed_time</th>
+<th>cost_before_tip</th>
+<th>tip_pct</th>
+<th>fees</th>
+<th>avg_speed</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>7576</th>
+<td>2019-10-23 16:52:51</td>
+<td>2019-10-24 16:51:44</td>
+<td>1</td>
+<td>3.75</td>
+<td>1</td>
+<td>17.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>21.8</td>
+<td>2.5</td>
+<td>0 days 23:58:53</td>
+<td>21.8</td>
+<td>0.0</td>
+<td>4.3</td>
+<td>0.156371</td>
+</tr>
+<tr>
+<th>6902</th>
+<td>2019-10-23 16:51:42</td>
+<td>2019-10-24 16:50:22</td>
+<td>1</td>
+<td>11.19</td>
+<td>2</td>
+<td>39.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>41.3</td>
+<td>0.0</td>
+<td>0 days 23:58:40</td>
+<td>41.3</td>
+<td>0.0</td>
+<td>1.8</td>
+<td>0.466682</td>
+</tr>
+<tr>
+<th>4975</th>
+<td>2019-10-23 16:18:51</td>
+<td>2019-10-24 16:17:30</td>
+<td>1</td>
+<td>0.70</td>
+<td>2</td>
+<td>7.0</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>11.3</td>
+<td>2.5</td>
+<td>0 days 23:58:39</td>
+<td>11.3</td>
+<td>0.0</td>
+<td>4.3</td>
+<td>0.029194</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f35f3408-f512-4468-95d0-602a95f930ef">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_exercise-2-1" data-mime-type="text/markdown">
-<h3 id="Exercise-2.1">Exercise 2.1<a class="anchor-link" href="#Exercise-2.1">&#182;</a></h3><h5 id="Read-in-the-meteorite-data-from-the-Meteorite_Landings.csv-file,-rename-the-mass-(g)-column-to-mass,-and-drop-all-the-latitude-and-longitude-columns.-Sort-the-result-by-mass-in-descending-order.">Read in the meteorite data from the <code>Meteorite_Landings.csv</code> file, rename the <code>mass (g)</code> column to <code>mass</code>, and drop all the latitude and longitude columns. Sort the result by mass in descending order.<a class="anchor-link" href="#Read-in-the-meteorite-data-from-the-Meteorite_Landings.csv-file,-rename-the-mass-(g)-column-to-mass,-and-drop-all-the-latitude-and-longitude-columns.-Sort-the-result-by-mass-in-descending-order.">&#182;</a></h5>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_exercise-2-1" data-mime-type="text/markdown">
+<h3 id="Exercise-2.1">Exercise 2.1<a class="anchor-link" href="#Exercise-2.1">¶</a></h3><h5 id="Read-in-the-meteorite-data-from-the-Meteorite_Landings.csv-file,-rename-the-mass-(g)-column-to-mass,-and-drop-all-the-latitude-and-longitude-columns.-Sort-the-result-by-mass-in-descending-order.">Read in the meteorite data from the <code>Meteorite_Landings.csv</code> file, rename the <code>mass (g)</code> column to <code>mass</code>, and drop all the latitude and longitude columns. Sort the result by mass in descending order.<a class="anchor-link" href="#Read-in-the-meteorite-data-from-the-Meteorite_Landings.csv-file,-rename-the-mass-(g)-column-to-mass,-and-drop-all-the-latitude-and-longitude-columns.-Sort-the-result-by-mass-in-descending-order.">¶</a></h5>
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=53f793de-d52d-4cf0-b36a-ea2ab525a5f4">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_solution-2-1" data-mime-type="text/markdown">
-<h3 id="Solution">Solution<a class="anchor-link" href="#Solution">&#182;</a></h3>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_solution-2-1" data-mime-type="text/markdown">
+<h3 id="Solution">Solution<a class="anchor-link" href="#Solution">¶</a></h3>
 </div>
 </div>
 </div>
-</div><div class="fragment" ><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=2938458e-2767-45ec-a3d8-b0867bc53ec2">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[11]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [11]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
 
-<span class="n">meteorites</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;../data/Meteorite_Landings.csv&#39;</span><span class="p">)</span>
+<span class="n">meteorites</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">'../data/Meteorite_Landings.csv'</span><span class="p">)</span>
 <span class="n">meteorites</span> <span class="o">=</span> <span class="n">meteorites</span>\
-    <span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;mass (g)&#39;</span><span class="p">:</span> <span class="s1">&#39;mass&#39;</span><span class="p">})</span>\
+    <span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="p">{</span><span class="s1">'mass (g)'</span><span class="p">:</span> <span class="s1">'mass'</span><span class="p">})</span>\
     <span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="n">meteorites</span><span class="o">.</span><span class="n">columns</span><span class="p">[</span><span class="o">-</span><span class="mi">3</span><span class="p">:])</span>\
-    <span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">&#39;mass&#39;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+    <span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">'mass'</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
 <span class="n">meteorites</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[11]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[11]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -20066,154 +11701,139 @@ <h3 id="Solution">Solution<a class="anchor-link" href="#Solution">&#182;</a></h3
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>name</th>
-      <th>id</th>
-      <th>nametype</th>
-      <th>recclass</th>
-      <th>mass</th>
-      <th>fall</th>
-      <th>year</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>16392</th>
-      <td>Hoba</td>
-      <td>11890</td>
-      <td>Valid</td>
-      <td>Iron, IVB</td>
-      <td>60000000.0</td>
-      <td>Found</td>
-      <td>01/01/1920 12:00:00 AM</td>
-    </tr>
-    <tr>
-      <th>5373</th>
-      <td>Cape York</td>
-      <td>5262</td>
-      <td>Valid</td>
-      <td>Iron, IIIAB</td>
-      <td>58200000.0</td>
-      <td>Found</td>
-      <td>01/01/1818 12:00:00 AM</td>
-    </tr>
-    <tr>
-      <th>5365</th>
-      <td>Campo del Cielo</td>
-      <td>5247</td>
-      <td>Valid</td>
-      <td>Iron, IAB-MG</td>
-      <td>50000000.0</td>
-      <td>Found</td>
-      <td>12/22/1575 12:00:00 AM</td>
-    </tr>
-    <tr>
-      <th>5370</th>
-      <td>Canyon Diablo</td>
-      <td>5257</td>
-      <td>Valid</td>
-      <td>Iron, IAB-MG</td>
-      <td>30000000.0</td>
-      <td>Found</td>
-      <td>01/01/1891 12:00:00 AM</td>
-    </tr>
-    <tr>
-      <th>3455</th>
-      <td>Armanty</td>
-      <td>2335</td>
-      <td>Valid</td>
-      <td>Iron, IIIE</td>
-      <td>28000000.0</td>
-      <td>Found</td>
-      <td>01/01/1898 12:00:00 AM</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>name</th>
+<th>id</th>
+<th>nametype</th>
+<th>recclass</th>
+<th>mass</th>
+<th>fall</th>
+<th>year</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>16392</th>
+<td>Hoba</td>
+<td>11890</td>
+<td>Valid</td>
+<td>Iron, IVB</td>
+<td>60000000.0</td>
+<td>Found</td>
+<td>01/01/1920 12:00:00 AM</td>
+</tr>
+<tr>
+<th>5373</th>
+<td>Cape York</td>
+<td>5262</td>
+<td>Valid</td>
+<td>Iron, IIIAB</td>
+<td>58200000.0</td>
+<td>Found</td>
+<td>01/01/1818 12:00:00 AM</td>
+</tr>
+<tr>
+<th>5365</th>
+<td>Campo del Cielo</td>
+<td>5247</td>
+<td>Valid</td>
+<td>Iron, IAB-MG</td>
+<td>50000000.0</td>
+<td>Found</td>
+<td>12/22/1575 12:00:00 AM</td>
+</tr>
+<tr>
+<th>5370</th>
+<td>Canyon Diablo</td>
+<td>5257</td>
+<td>Valid</td>
+<td>Iron, IAB-MG</td>
+<td>30000000.0</td>
+<td>Found</td>
+<td>01/01/1891 12:00:00 AM</td>
+</tr>
+<tr>
+<th>3455</th>
+<td>Armanty</td>
+<td>2335</td>
+<td>Valid</td>
+<td>Iron, IIIE</td>
+<td>28000000.0</td>
+<td>Found</td>
+<td>01/01/1898 12:00:00 AM</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=e0788e52-404b-480b-bf10-b4e63a2536d5">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">&#182;</a></h2><ol>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">¶</a></h2><ol>
 <li>Data cleaning</li>
 <li><strong>Working with the index</strong></li>
 <li>Reshaping data</li>
 <li>Aggregations and grouping</li>
 <li>Time series</li>
 </ol>
-
 </div>
 </div>
 </div>
-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=65a2afee-3b1a-4fa8-9491-ab323eab54d9">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_working-with-the-index" data-mime-type="text/markdown">
-<h2 id="Working-with-the-index">Working with the index<a class="anchor-link" href="#Working-with-the-index">&#182;</a></h2><p>So far, we haven't really worked with the index because it's just been a row number; however, we can change the values we have in the index to access additional features of the pandas library.</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_working-with-the-index" data-mime-type="text/markdown">
+<h2 id="Working-with-the-index">Working with the index<a class="anchor-link" href="#Working-with-the-index">¶</a></h2><p>So far, we haven't really worked with the index because it's just been a row number; however, we can change the values we have in the index to access additional features of the pandas library.</p>
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=8a589beb-41f8-4aa2-b5f0-8452b16b75a2">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_setting-the-index" data-mime-type="text/markdown">
-<h3 id="Setting-and-sorting-the-index">Setting and sorting the index<a class="anchor-link" href="#Setting-and-sorting-the-index">&#182;</a></h3><p>Currently, we have a RangeIndex, but we can switch to a DatetimeIndex by specifying a datetime column when calling <code>set_index()</code>:</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_setting-the-index" data-mime-type="text/markdown">
+<h3 id="Setting-and-sorting-the-index">Setting and sorting the index<a class="anchor-link" href="#Setting-and-sorting-the-index">¶</a></h3><p>Currently, we have a RangeIndex, but we can switch to a DatetimeIndex by specifying a datetime column when calling <code>set_index()</code>:</p>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=a83c91d3-40e2-4adc-b729-92376706a58d">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[12]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [12]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">taxis</span> <span class="o">=</span> <span class="n">taxis</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">&#39;pickup&#39;</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">taxis</span> <span class="o">=</span> <span class="n">taxis</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">'pickup'</span><span class="p">)</span>
 <span class="n">taxis</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
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-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[12]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[12]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -20227,203 +11847,186 @@ <h3 id="Setting-and-sorting-the-index">Setting and sorting the index<a class="an
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>dropoff</th>
-      <th>passenger_count</th>
-      <th>trip_distance</th>
-      <th>payment_type</th>
-      <th>fare_amount</th>
-      <th>extra</th>
-      <th>mta_tax</th>
-      <th>tip_amount</th>
-      <th>tolls_amount</th>
-      <th>improvement_surcharge</th>
-      <th>total_amount</th>
-      <th>congestion_surcharge</th>
-      <th>elapsed_time</th>
-      <th>cost_before_tip</th>
-      <th>tip_pct</th>
-      <th>fees</th>
-      <th>avg_speed</th>
-    </tr>
-    <tr>
-      <th>pickup</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2019-10-23 16:39:42</th>
-      <td>2019-10-23 17:14:10</td>
-      <td>1</td>
-      <td>7.93</td>
-      <td>1</td>
-      <td>29.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>7.98</td>
-      <td>6.12</td>
-      <td>0.3</td>
-      <td>47.9</td>
-      <td>2.5</td>
-      <td>0 days 00:34:28</td>
-      <td>39.92</td>
-      <td>0.199900</td>
-      <td>10.42</td>
-      <td>13.804642</td>
-    </tr>
-    <tr>
-      <th>2019-10-23 16:32:08</th>
-      <td>2019-10-23 16:45:26</td>
-      <td>1</td>
-      <td>2.00</td>
-      <td>1</td>
-      <td>10.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.00</td>
-      <td>0.00</td>
-      <td>0.3</td>
-      <td>12.3</td>
-      <td>0.0</td>
-      <td>0 days 00:13:18</td>
-      <td>12.30</td>
-      <td>0.000000</td>
-      <td>1.80</td>
-      <td>9.022556</td>
-    </tr>
-    <tr>
-      <th>2019-10-23 16:08:44</th>
-      <td>2019-10-23 16:21:11</td>
-      <td>1</td>
-      <td>1.36</td>
-      <td>1</td>
-      <td>9.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>2.00</td>
-      <td>0.00</td>
-      <td>0.3</td>
-      <td>15.8</td>
-      <td>2.5</td>
-      <td>0 days 00:12:27</td>
-      <td>13.80</td>
-      <td>0.144928</td>
-      <td>4.30</td>
-      <td>6.554217</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>dropoff</th>
+<th>passenger_count</th>
+<th>trip_distance</th>
+<th>payment_type</th>
+<th>fare_amount</th>
+<th>extra</th>
+<th>mta_tax</th>
+<th>tip_amount</th>
+<th>tolls_amount</th>
+<th>improvement_surcharge</th>
+<th>total_amount</th>
+<th>congestion_surcharge</th>
+<th>elapsed_time</th>
+<th>cost_before_tip</th>
+<th>tip_pct</th>
+<th>fees</th>
+<th>avg_speed</th>
+</tr>
+<tr>
+<th>pickup</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2019-10-23 16:39:42</th>
+<td>2019-10-23 17:14:10</td>
+<td>1</td>
+<td>7.93</td>
+<td>1</td>
+<td>29.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>7.98</td>
+<td>6.12</td>
+<td>0.3</td>
+<td>47.9</td>
+<td>2.5</td>
+<td>0 days 00:34:28</td>
+<td>39.92</td>
+<td>0.199900</td>
+<td>10.42</td>
+<td>13.804642</td>
+</tr>
+<tr>
+<th>2019-10-23 16:32:08</th>
+<td>2019-10-23 16:45:26</td>
+<td>1</td>
+<td>2.00</td>
+<td>1</td>
+<td>10.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.00</td>
+<td>0.00</td>
+<td>0.3</td>
+<td>12.3</td>
+<td>0.0</td>
+<td>0 days 00:13:18</td>
+<td>12.30</td>
+<td>0.000000</td>
+<td>1.80</td>
+<td>9.022556</td>
+</tr>
+<tr>
+<th>2019-10-23 16:08:44</th>
+<td>2019-10-23 16:21:11</td>
+<td>1</td>
+<td>1.36</td>
+<td>1</td>
+<td>9.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>2.00</td>
+<td>0.00</td>
+<td>0.3</td>
+<td>15.8</td>
+<td>2.5</td>
+<td>0 days 00:12:27</td>
+<td>13.80</td>
+<td>0.144928</td>
+<td>4.30</td>
+<td>6.554217</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=2b209530-e30a-4ff9-9f70-acb770eba330">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_sorting-the-index" data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_sorting-the-index" data-mime-type="text/markdown">
 <p>Since we have a sample of the full dataset, let's sort the index to order by pickup time:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=f611ff93-6978-4eab-83ea-c289ccdfd6ff">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[13]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [13]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">taxis</span> <span class="o">=</span> <span class="n">taxis</span><span class="o">.</span><span class="n">sort_index</span><span class="p">()</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">taxis</span> <span class="o">=</span> <span class="n">taxis</span><span class="o">.</span><span class="n">sort_index</span><span class="p">()</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div>
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=ec63259e-8f77-45d0-ba23-984fba6e95a0">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><em>Tip: <code>taxis.sort_index(axis=1)</code> will sort the columns by name. The <code>axis</code> parameter is present throughout the pandas library: <code>axis=0</code> targets rows and <code>axis=1</code> targets columns.</em></p>
-
 </div>
 </div>
 </div>
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=829f2df1-1ad6-4176-a21c-b8006aa26945">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_working-with-a-datetime-index" data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_working-with-a-datetime-index" data-mime-type="text/markdown">
 <p>We can now select ranges from our data based on the datetime the same way we did with row numbers:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=5fcec2d3-a1d1-4464-a3f1-2a19c5ead98b">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[14]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [14]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="p">[</span><span class="s1">&#39;2019-10-23 07:45&#39;</span><span class="p">:</span><span class="s1">&#39;2019-10-23 08&#39;</span><span class="p">]</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="p">[</span><span class="s1">'2019-10-23 07:45'</span><span class="p">:</span><span class="s1">'2019-10-23 08'</span><span class="p">]</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
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-
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-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[14]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[14]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -20437,163 +12040,150 @@ <h3 id="Setting-and-sorting-the-index">Setting and sorting the index<a class="an
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>dropoff</th>
-      <th>passenger_count</th>
-      <th>trip_distance</th>
-      <th>payment_type</th>
-      <th>fare_amount</th>
-      <th>extra</th>
-      <th>mta_tax</th>
-      <th>tip_amount</th>
-      <th>tolls_amount</th>
-      <th>improvement_surcharge</th>
-      <th>total_amount</th>
-      <th>congestion_surcharge</th>
-      <th>elapsed_time</th>
-      <th>cost_before_tip</th>
-      <th>tip_pct</th>
-      <th>fees</th>
-      <th>avg_speed</th>
-    </tr>
-    <tr>
-      <th>pickup</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2019-10-23 07:48:58</th>
-      <td>2019-10-23 07:52:09</td>
-      <td>1</td>
-      <td>0.67</td>
-      <td>2</td>
-      <td>4.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.0</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>8.8</td>
-      <td>2.5</td>
-      <td>0 days 00:03:11</td>
-      <td>8.8</td>
-      <td>0.000000</td>
-      <td>4.3</td>
-      <td>12.628272</td>
-    </tr>
-    <tr>
-      <th>2019-10-23 08:02:09</th>
-      <td>2019-10-24 07:42:32</td>
-      <td>1</td>
-      <td>8.38</td>
-      <td>1</td>
-      <td>32.0</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>5.5</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>41.8</td>
-      <td>2.5</td>
-      <td>0 days 23:40:23</td>
-      <td>36.3</td>
-      <td>0.151515</td>
-      <td>4.3</td>
-      <td>0.353989</td>
-    </tr>
-    <tr>
-      <th>2019-10-23 08:18:47</th>
-      <td>2019-10-23 08:36:05</td>
-      <td>1</td>
-      <td>2.39</td>
-      <td>2</td>
-      <td>12.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.0</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>16.8</td>
-      <td>2.5</td>
-      <td>0 days 00:17:18</td>
-      <td>16.8</td>
-      <td>0.000000</td>
-      <td>4.3</td>
-      <td>8.289017</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>dropoff</th>
+<th>passenger_count</th>
+<th>trip_distance</th>
+<th>payment_type</th>
+<th>fare_amount</th>
+<th>extra</th>
+<th>mta_tax</th>
+<th>tip_amount</th>
+<th>tolls_amount</th>
+<th>improvement_surcharge</th>
+<th>total_amount</th>
+<th>congestion_surcharge</th>
+<th>elapsed_time</th>
+<th>cost_before_tip</th>
+<th>tip_pct</th>
+<th>fees</th>
+<th>avg_speed</th>
+</tr>
+<tr>
+<th>pickup</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2019-10-23 07:48:58</th>
+<td>2019-10-23 07:52:09</td>
+<td>1</td>
+<td>0.67</td>
+<td>2</td>
+<td>4.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>8.8</td>
+<td>2.5</td>
+<td>0 days 00:03:11</td>
+<td>8.8</td>
+<td>0.000000</td>
+<td>4.3</td>
+<td>12.628272</td>
+</tr>
+<tr>
+<th>2019-10-23 08:02:09</th>
+<td>2019-10-24 07:42:32</td>
+<td>1</td>
+<td>8.38</td>
+<td>1</td>
+<td>32.0</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>5.5</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>41.8</td>
+<td>2.5</td>
+<td>0 days 23:40:23</td>
+<td>36.3</td>
+<td>0.151515</td>
+<td>4.3</td>
+<td>0.353989</td>
+</tr>
+<tr>
+<th>2019-10-23 08:18:47</th>
+<td>2019-10-23 08:36:05</td>
+<td>1</td>
+<td>2.39</td>
+<td>2</td>
+<td>12.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>16.8</td>
+<td>2.5</td>
+<td>0 days 00:17:18</td>
+<td>16.8</td>
+<td>0.000000</td>
+<td>4.3</td>
+<td>8.289017</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=bc2ade37-8578-47cd-9981-3d702fb459aa">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>When not specifying a range, we use <code>loc[]</code>:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=f0a86342-95f1-4561-8b07-7b97f1e4e887">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[15]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [15]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">&#39;2019-10-23 08&#39;</span><span class="p">]</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">'2019-10-23 08'</span><span class="p">]</span>
 </pre></div>
-
-     </div>
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 </div>
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-
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-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[15]:</div>
-
-
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-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[15]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
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-<style scoped>
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     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -20607,144 +12197,131 @@ <h3 id="Setting-and-sorting-the-index">Setting and sorting the index<a class="an
     }
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 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>dropoff</th>
-      <th>passenger_count</th>
-      <th>trip_distance</th>
-      <th>payment_type</th>
-      <th>fare_amount</th>
-      <th>extra</th>
-      <th>mta_tax</th>
-      <th>tip_amount</th>
-      <th>tolls_amount</th>
-      <th>improvement_surcharge</th>
-      <th>total_amount</th>
-      <th>congestion_surcharge</th>
-      <th>elapsed_time</th>
-      <th>cost_before_tip</th>
-      <th>tip_pct</th>
-      <th>fees</th>
-      <th>avg_speed</th>
-    </tr>
-    <tr>
-      <th>pickup</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2019-10-23 08:02:09</th>
-      <td>2019-10-24 07:42:32</td>
-      <td>1</td>
-      <td>8.38</td>
-      <td>1</td>
-      <td>32.0</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>5.5</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>41.8</td>
-      <td>2.5</td>
-      <td>0 days 23:40:23</td>
-      <td>36.3</td>
-      <td>0.151515</td>
-      <td>4.3</td>
-      <td>0.353989</td>
-    </tr>
-    <tr>
-      <th>2019-10-23 08:18:47</th>
-      <td>2019-10-23 08:36:05</td>
-      <td>1</td>
-      <td>2.39</td>
-      <td>2</td>
-      <td>12.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.0</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>16.8</td>
-      <td>2.5</td>
-      <td>0 days 00:17:18</td>
-      <td>16.8</td>
-      <td>0.000000</td>
-      <td>4.3</td>
-      <td>8.289017</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>dropoff</th>
+<th>passenger_count</th>
+<th>trip_distance</th>
+<th>payment_type</th>
+<th>fare_amount</th>
+<th>extra</th>
+<th>mta_tax</th>
+<th>tip_amount</th>
+<th>tolls_amount</th>
+<th>improvement_surcharge</th>
+<th>total_amount</th>
+<th>congestion_surcharge</th>
+<th>elapsed_time</th>
+<th>cost_before_tip</th>
+<th>tip_pct</th>
+<th>fees</th>
+<th>avg_speed</th>
+</tr>
+<tr>
+<th>pickup</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2019-10-23 08:02:09</th>
+<td>2019-10-24 07:42:32</td>
+<td>1</td>
+<td>8.38</td>
+<td>1</td>
+<td>32.0</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>5.5</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>41.8</td>
+<td>2.5</td>
+<td>0 days 23:40:23</td>
+<td>36.3</td>
+<td>0.151515</td>
+<td>4.3</td>
+<td>0.353989</td>
+</tr>
+<tr>
+<th>2019-10-23 08:18:47</th>
+<td>2019-10-23 08:36:05</td>
+<td>1</td>
+<td>2.39</td>
+<td>2</td>
+<td>12.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>16.8</td>
+<td>2.5</td>
+<td>0 days 00:17:18</td>
+<td>16.8</td>
+<td>0.000000</td>
+<td>4.3</td>
+<td>8.289017</td>
+</tr>
+</tbody>
 </table>
 </div>
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-
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-
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-
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-
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-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=71c7720b-8503-4643-a552-10965b59c624">
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-<h3 id="Resetting-the-index">Resetting the index<a class="anchor-link" href="#Resetting-the-index">&#182;</a></h3><p>We will be working with time series later this section, but sometimes we want to reset our index to row numbers and restore the columns. We can make <code>pickup</code> a column again with the <code>reset_index()</code> method:</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_resetting-the-index" data-mime-type="text/markdown">
+<h3 id="Resetting-the-index">Resetting the index<a class="anchor-link" href="#Resetting-the-index">¶</a></h3><p>We will be working with time series later this section, but sometimes we want to reset our index to row numbers and restore the columns. We can make <code>pickup</code> a column again with the <code>reset_index()</code> method:</p>
 </div>
 </div>
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-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=c2a21903-3ad8-4dba-9169-eba54743f434">
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[16]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [16]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">taxis</span> <span class="o">=</span> <span class="n">taxis</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">taxis</span> <span class="o">=</span> <span class="n">taxis</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>
 <span class="n">taxis</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
 </pre></div>
-
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-
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-
-
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-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[16]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
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-<style scoped>
+<style scoped="">
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         vertical-align: middle;
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@@ -20758,205 +12335,193 @@ <h3 id="Resetting-the-index">Resetting the index<a class="anchor-link" href="#Re
     }
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 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
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-      <th>dropoff</th>
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-      <th>payment_type</th>
-      <th>fare_amount</th>
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-      <th>mta_tax</th>
-      <th>tip_amount</th>
-      <th>tolls_amount</th>
-      <th>improvement_surcharge</th>
-      <th>total_amount</th>
-      <th>congestion_surcharge</th>
-      <th>elapsed_time</th>
-      <th>cost_before_tip</th>
-      <th>tip_pct</th>
-      <th>fees</th>
-      <th>avg_speed</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>0</th>
-      <td>2019-10-23 07:05:34</td>
-      <td>2019-10-23 08:03:16</td>
-      <td>3</td>
-      <td>14.68</td>
-      <td>1</td>
-      <td>50.0</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>4.0</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>55.8</td>
-      <td>0.0</td>
-      <td>0 days 00:57:42</td>
-      <td>51.8</td>
-      <td>0.077220</td>
-      <td>1.8</td>
-      <td>15.265165</td>
-    </tr>
-    <tr>
-      <th>1</th>
-      <td>2019-10-23 07:48:58</td>
-      <td>2019-10-23 07:52:09</td>
-      <td>1</td>
-      <td>0.67</td>
-      <td>2</td>
-      <td>4.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.0</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>8.8</td>
-      <td>2.5</td>
-      <td>0 days 00:03:11</td>
-      <td>8.8</td>
-      <td>0.000000</td>
-      <td>4.3</td>
-      <td>12.628272</td>
-    </tr>
-    <tr>
-      <th>2</th>
-      <td>2019-10-23 08:02:09</td>
-      <td>2019-10-24 07:42:32</td>
-      <td>1</td>
-      <td>8.38</td>
-      <td>1</td>
-      <td>32.0</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>5.5</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>41.8</td>
-      <td>2.5</td>
-      <td>0 days 23:40:23</td>
-      <td>36.3</td>
-      <td>0.151515</td>
-      <td>4.3</td>
-      <td>0.353989</td>
-    </tr>
-    <tr>
-      <th>3</th>
-      <td>2019-10-23 08:18:47</td>
-      <td>2019-10-23 08:36:05</td>
-      <td>1</td>
-      <td>2.39</td>
-      <td>2</td>
-      <td>12.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.0</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>16.8</td>
-      <td>2.5</td>
-      <td>0 days 00:17:18</td>
-      <td>16.8</td>
-      <td>0.000000</td>
-      <td>4.3</td>
-      <td>8.289017</td>
-    </tr>
-    <tr>
-      <th>4</th>
-      <td>2019-10-23 09:27:16</td>
-      <td>2019-10-23 09:33:13</td>
-      <td>2</td>
-      <td>1.11</td>
-      <td>2</td>
-      <td>6.0</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.0</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>7.8</td>
-      <td>0.0</td>
-      <td>0 days 00:05:57</td>
-      <td>7.8</td>
-      <td>0.000000</td>
-      <td>1.8</td>
-      <td>11.193277</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>pickup</th>
+<th>dropoff</th>
+<th>passenger_count</th>
+<th>trip_distance</th>
+<th>payment_type</th>
+<th>fare_amount</th>
+<th>extra</th>
+<th>mta_tax</th>
+<th>tip_amount</th>
+<th>tolls_amount</th>
+<th>improvement_surcharge</th>
+<th>total_amount</th>
+<th>congestion_surcharge</th>
+<th>elapsed_time</th>
+<th>cost_before_tip</th>
+<th>tip_pct</th>
+<th>fees</th>
+<th>avg_speed</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>0</th>
+<td>2019-10-23 07:05:34</td>
+<td>2019-10-23 08:03:16</td>
+<td>3</td>
+<td>14.68</td>
+<td>1</td>
+<td>50.0</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>4.0</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>55.8</td>
+<td>0.0</td>
+<td>0 days 00:57:42</td>
+<td>51.8</td>
+<td>0.077220</td>
+<td>1.8</td>
+<td>15.265165</td>
+</tr>
+<tr>
+<th>1</th>
+<td>2019-10-23 07:48:58</td>
+<td>2019-10-23 07:52:09</td>
+<td>1</td>
+<td>0.67</td>
+<td>2</td>
+<td>4.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>8.8</td>
+<td>2.5</td>
+<td>0 days 00:03:11</td>
+<td>8.8</td>
+<td>0.000000</td>
+<td>4.3</td>
+<td>12.628272</td>
+</tr>
+<tr>
+<th>2</th>
+<td>2019-10-23 08:02:09</td>
+<td>2019-10-24 07:42:32</td>
+<td>1</td>
+<td>8.38</td>
+<td>1</td>
+<td>32.0</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>5.5</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>41.8</td>
+<td>2.5</td>
+<td>0 days 23:40:23</td>
+<td>36.3</td>
+<td>0.151515</td>
+<td>4.3</td>
+<td>0.353989</td>
+</tr>
+<tr>
+<th>3</th>
+<td>2019-10-23 08:18:47</td>
+<td>2019-10-23 08:36:05</td>
+<td>1</td>
+<td>2.39</td>
+<td>2</td>
+<td>12.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>16.8</td>
+<td>2.5</td>
+<td>0 days 00:17:18</td>
+<td>16.8</td>
+<td>0.000000</td>
+<td>4.3</td>
+<td>8.289017</td>
+</tr>
+<tr>
+<th>4</th>
+<td>2019-10-23 09:27:16</td>
+<td>2019-10-23 09:33:13</td>
+<td>2</td>
+<td>1.11</td>
+<td>2</td>
+<td>6.0</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>7.8</td>
+<td>0.0</td>
+<td>0 days 00:05:57</td>
+<td>7.8</td>
+<td>0.000000</td>
+<td>1.8</td>
+<td>11.193277</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section></section><section ><section >
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+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=316d01c1-c8cb-4c56-8496-3402d007e8d0">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_exercise-2-2" data-mime-type="text/markdown">
-<h3 id="Exercise-2.2">Exercise 2.2<a class="anchor-link" href="#Exercise-2.2">&#182;</a></h3><h5 id="Using-the-meteorite-data-from-the-Meteorite_Landings.csv-file,-update-the-year-column-to-only-contain-the-year,-convert-it-to-a-numeric-data-type,-and-create-a-new-column-indicating-whether-the-meteorite-was-observed-falling-before-1970.-Set-the-index-to-the-id-column-and-extract-all-the-rows-with-IDs-between-10,036-and-10,040-(inclusive)-with-loc%5B%5D.">Using the meteorite data from the <code>Meteorite_Landings.csv</code> file, update the <code>year</code> column to only contain the year, convert it to a numeric data type, and create a new column indicating whether the meteorite was observed falling before 1970. Set the index to the <code>id</code> column and extract all the rows with IDs between 10,036 and 10,040 (inclusive) with <code>loc[]</code>.<a class="anchor-link" href="#Using-the-meteorite-data-from-the-Meteorite_Landings.csv-file,-update-the-year-column-to-only-contain-the-year,-convert-it-to-a-numeric-data-type,-and-create-a-new-column-indicating-whether-the-meteorite-was-observed-falling-before-1970.-Set-the-index-to-the-id-column-and-extract-all-the-rows-with-IDs-between-10,036-and-10,040-(inclusive)-with-loc%5B%5D.">&#182;</a></h5><h6 id="Hint-1:-Use-year.str.slice()-to-grab-a-substring."><strong>Hint 1</strong>: Use <code>year.str.slice()</code> to grab a substring.<a class="anchor-link" href="#Hint-1:-Use-year.str.slice()-to-grab-a-substring.">&#182;</a></h6><h6 id="Hint-2:-Make-sure-to-sort-the-index-before-using-loc%5B%5D-to-select-the-range."><strong>Hint 2</strong>: Make sure to sort the index before using <code>loc[]</code> to select the range.<a class="anchor-link" href="#Hint-2:-Make-sure-to-sort-the-index-before-using-loc%5B%5D-to-select-the-range.">&#182;</a></h6><h6 id="Bonus:-There's-a-data-entry-error-in-the-year-column.-Can-you-find-it?-(Don't-spend-too-much-time-on-this.)"><strong>Bonus</strong>: There's a data entry error in the <code>year</code> column. Can you find it? (Don't spend too much time on this.)<a class="anchor-link" href="#Bonus:-There's-a-data-entry-error-in-the-year-column.-Can-you-find-it?-(Don't-spend-too-much-time-on-this.)">&#182;</a></h6>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_exercise-2-2" data-mime-type="text/markdown">
+<h3 id="Exercise-2.2">Exercise 2.2<a class="anchor-link" href="#Exercise-2.2">¶</a></h3><h5 id="Using-the-meteorite-data-from-the-Meteorite_Landings.csv-file,-update-the-year-column-to-only-contain-the-year,-convert-it-to-a-numeric-data-type,-and-create-a-new-column-indicating-whether-the-meteorite-was-observed-falling-before-1970.-Set-the-index-to-the-id-column-and-extract-all-the-rows-with-IDs-between-10,036-and-10,040-(inclusive)-with-loc%5B%5D.">Using the meteorite data from the <code>Meteorite_Landings.csv</code> file, update the <code>year</code> column to only contain the year, convert it to a numeric data type, and create a new column indicating whether the meteorite was observed falling before 1970. Set the index to the <code>id</code> column and extract all the rows with IDs between 10,036 and 10,040 (inclusive) with <code>loc[]</code>.<a class="anchor-link" href="#Using-the-meteorite-data-from-the-Meteorite_Landings.csv-file,-update-the-year-column-to-only-contain-the-year,-convert-it-to-a-numeric-data-type,-and-create-a-new-column-indicating-whether-the-meteorite-was-observed-falling-before-1970.-Set-the-index-to-the-id-column-and-extract-all-the-rows-with-IDs-between-10,036-and-10,040-(inclusive)-with-loc%5B%5D.">¶</a></h5><h6 id="Hint-1:-Use-year.str.slice()-to-grab-a-substring."><strong>Hint 1</strong>: Use <code>year.str.slice()</code> to grab a substring.<a class="anchor-link" href="#Hint-1:-Use-year.str.slice()-to-grab-a-substring.">¶</a></h6><h6 id="Hint-2:-Make-sure-to-sort-the-index-before-using-loc%5B%5D-to-select-the-range."><strong>Hint 2</strong>: Make sure to sort the index before using <code>loc[]</code> to select the range.<a class="anchor-link" href="#Hint-2:-Make-sure-to-sort-the-index-before-using-loc%5B%5D-to-select-the-range.">¶</a></h6><h6 id="Bonus:-There's-a-data-entry-error-in-the-year-column.-Can-you-find-it?-(Don't-spend-too-much-time-on-this.)"><strong>Bonus</strong>: There's a data entry error in the <code>year</code> column. Can you find it? (Don't spend too much time on this.)<a class="anchor-link" href="#Bonus:-There's-a-data-entry-error-in-the-year-column.-Can-you-find-it?-(Don't-spend-too-much-time-on-this.)">¶</a></h6>
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-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=8d00bb60-3e40-4283-8820-6ad571ddc110">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_solution-2-2" data-mime-type="text/markdown">
-<h3 id="Solution">Solution<a class="anchor-link" href="#Solution">&#182;</a></h3>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_solution-2-2" data-mime-type="text/markdown">
+<h3 id="Solution">Solution<a class="anchor-link" href="#Solution">¶</a></h3>
 </div>
 </div>
 </div>
-</div><div class="fragment" ><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=e402ec63-0fe9-44c2-9564-5726f2c84cc9">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[17]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [17]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
 
-<span class="n">meteorites</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;../data/Meteorite_Landings.csv&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
+<span class="n">meteorites</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">'../data/Meteorite_Landings.csv'</span><span class="p">)</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
     <span class="n">year</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">pd</span><span class="o">.</span><span class="n">to_numeric</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">year</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">slice</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">10</span><span class="p">)),</span>
-    <span class="n">pre_1970</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">fall</span> <span class="o">==</span> <span class="s1">&#39;Fell&#39;</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">year</span> <span class="o">&lt;</span> <span class="mi">1970</span><span class="p">)</span>
-<span class="p">)</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">&#39;id&#39;</span><span class="p">)</span>
+    <span class="n">pre_1970</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">fall</span> <span class="o">==</span> <span class="s1">'Fell'</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">year</span> <span class="o">&lt;</span> <span class="mi">1970</span><span class="p">)</span>
+<span class="p">)</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">'id'</span><span class="p">)</span>
 <span class="n">meteorites</span><span class="o">.</span><span class="n">sort_index</span><span class="p">()</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">10_036</span><span class="p">:</span><span class="mi">10_040</span><span class="p">]</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
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-
+</div>
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-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[17]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[17]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -20970,157 +12535,143 @@ <h3 id="Solution">Solution<a class="anchor-link" href="#Solution">&#182;</a></h3
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>name</th>
-      <th>nametype</th>
-      <th>recclass</th>
-      <th>mass (g)</th>
-      <th>fall</th>
-      <th>year</th>
-      <th>reclat</th>
-      <th>reclong</th>
-      <th>GeoLocation</th>
-      <th>pre_1970</th>
-    </tr>
-    <tr>
-      <th>id</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>10036</th>
-      <td>Enigma</td>
-      <td>Valid</td>
-      <td>H4</td>
-      <td>94.0</td>
-      <td>Found</td>
-      <td>1967.0</td>
-      <td>31.33333</td>
-      <td>-82.31667</td>
-      <td>(31.33333, -82.31667)</td>
-      <td>False</td>
-    </tr>
-    <tr>
-      <th>10037</th>
-      <td>Enon</td>
-      <td>Valid</td>
-      <td>Iron, ungrouped</td>
-      <td>763.0</td>
-      <td>Found</td>
-      <td>1883.0</td>
-      <td>39.86667</td>
-      <td>-83.95000</td>
-      <td>(39.86667, -83.95)</td>
-      <td>False</td>
-    </tr>
-    <tr>
-      <th>10038</th>
-      <td>Enshi</td>
-      <td>Valid</td>
-      <td>H5</td>
-      <td>8000.0</td>
-      <td>Fell</td>
-      <td>1974.0</td>
-      <td>30.30000</td>
-      <td>109.50000</td>
-      <td>(30.3, 109.5)</td>
-      <td>False</td>
-    </tr>
-    <tr>
-      <th>10039</th>
-      <td>Ensisheim</td>
-      <td>Valid</td>
-      <td>LL6</td>
-      <td>127000.0</td>
-      <td>Fell</td>
-      <td>1491.0</td>
-      <td>47.86667</td>
-      <td>7.35000</td>
-      <td>(47.86667, 7.35)</td>
-      <td>True</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>name</th>
+<th>nametype</th>
+<th>recclass</th>
+<th>mass (g)</th>
+<th>fall</th>
+<th>year</th>
+<th>reclat</th>
+<th>reclong</th>
+<th>GeoLocation</th>
+<th>pre_1970</th>
+</tr>
+<tr>
+<th>id</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>10036</th>
+<td>Enigma</td>
+<td>Valid</td>
+<td>H4</td>
+<td>94.0</td>
+<td>Found</td>
+<td>1967.0</td>
+<td>31.33333</td>
+<td>-82.31667</td>
+<td>(31.33333, -82.31667)</td>
+<td>False</td>
+</tr>
+<tr>
+<th>10037</th>
+<td>Enon</td>
+<td>Valid</td>
+<td>Iron, ungrouped</td>
+<td>763.0</td>
+<td>Found</td>
+<td>1883.0</td>
+<td>39.86667</td>
+<td>-83.95000</td>
+<td>(39.86667, -83.95)</td>
+<td>False</td>
+</tr>
+<tr>
+<th>10038</th>
+<td>Enshi</td>
+<td>Valid</td>
+<td>H5</td>
+<td>8000.0</td>
+<td>Fell</td>
+<td>1974.0</td>
+<td>30.30000</td>
+<td>109.50000</td>
+<td>(30.3, 109.5)</td>
+<td>False</td>
+</tr>
+<tr>
+<th>10039</th>
+<td>Ensisheim</td>
+<td>Valid</td>
+<td>LL6</td>
+<td>127000.0</td>
+<td>Fell</td>
+<td>1491.0</td>
+<td>47.86667</td>
+<td>7.35000</td>
+<td>(47.86667, 7.35)</td>
+<td>True</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></div></section><section >
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+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=08e03522-8d67-43a6-ba35-eca5432f2822">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><strong>Note</strong>: The <code>pd.to_datetime()</code> function is another option here; however, it will only be able to convert dates within the supported bounds (between <code>pd.Timestamp.min</code> and <code>pd.Timestamp.max</code>), which will cause some entries that do have a year to be marked as not having one. More information can be found in the pandas documentation <a href="https://pandas.pydata.org/docs/reference/api/pandas.to_datetime.html">here</a>. For reference, this is how the conversion can be done:</p>
 <div class="highlight"><pre><span></span><span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span>
     <span class="n">meteorites</span><span class="o">.</span><span class="n">year</span><span class="p">,</span>
-    <span class="n">errors</span><span class="o">=</span><span class="s1">&#39;coerce&#39;</span><span class="p">,</span>  <span class="c1"># anything that can&#39;t be converted will be NaT (null)</span>
-    <span class="nb">format</span><span class="o">=</span><span class="s1">&#39;%m/</span><span class="si">%d</span><span class="s1">/%Y %I:%M:%S %p&#39;</span>  <span class="c1"># the format the datetimes are currently in</span>
+    <span class="n">errors</span><span class="o">=</span><span class="s1">'coerce'</span><span class="p">,</span>  <span class="c1"># anything that can't be converted will be NaT (null)</span>
+    <span class="nb">format</span><span class="o">=</span><span class="s1">'%m/</span><span class="si">%d</span><span class="s1">/%Y %I:%M:%S %p'</span>  <span class="c1"># the format the datetimes are currently in</span>
 <span class="p">)</span>
 </pre></div>
-
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=fa11fd1a-cbf0-4338-b5cb-7e94d9a2815e">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<h5 id="Bonus:-There's-a-data-entry-error-in-the-year-column.-Can-you-find-it?"><strong>Bonus</strong>: There's a data entry error in the <code>year</code> column. Can you find it?<a class="anchor-link" href="#Bonus:-There's-a-data-entry-error-in-the-year-column.-Can-you-find-it?">&#182;</a></h5>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h5 id="Bonus:-There's-a-data-entry-error-in-the-year-column.-Can-you-find-it?"><strong>Bonus</strong>: There's a data entry error in the <code>year</code> column. Can you find it?<a class="anchor-link" href="#Bonus:-There's-a-data-entry-error-in-the-year-column.-Can-you-find-it?">¶</a></h5>
 </div>
 </div>
 </div>
-</div><div class="fragment" ><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=187dd516-27b7-49b1-b2f3-b5084b743320">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[18]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [18]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">year</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">year</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
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-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[18]:</div>
-
-
-
-
-<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[18]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
 <pre>count    45425.000000
 mean      1991.828817
 std         25.052766
@@ -21131,56 +12682,43 @@ <h5 id="Bonus:-There's-a-data-entry-error-in-the-year-column.-Can-you-find-it?">
 max       2101.000000
 Name: year, dtype: float64</pre>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=b0ab2e51-a49d-486e-ad09-aaa39f0d4358">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>There's a meteorite that was reportedly found in the future:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=ef66c16e-1546-4831-8cdb-51d92f3c81bc">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[19]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [19]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;year &gt; </span><span class="si">{</span><span class="n">pd</span><span class="o">.</span><span class="n">Timestamp</span><span class="p">(</span><span class="s2">&quot;today&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">year</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="sa">f</span><span class="s1">'year &gt; </span><span class="si">{</span><span class="n">pd</span><span class="o">.</span><span class="n">Timestamp</span><span class="p">(</span><span class="s2">"today"</span><span class="p">)</span><span class="o">.</span><span class="n">year</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
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-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[19]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[19]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -21194,132 +12732,118 @@ <h5 id="Bonus:-There's-a-data-entry-error-in-the-year-column.-Can-you-find-it?">
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>name</th>
-      <th>nametype</th>
-      <th>recclass</th>
-      <th>mass (g)</th>
-      <th>fall</th>
-      <th>year</th>
-      <th>reclat</th>
-      <th>reclong</th>
-      <th>GeoLocation</th>
-      <th>pre_1970</th>
-    </tr>
-    <tr>
-      <th>id</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>57150</th>
-      <td>Northwest Africa 7701</td>
-      <td>Valid</td>
-      <td>CK6</td>
-      <td>55.0</td>
-      <td>Found</td>
-      <td>2101.0</td>
-      <td>0.0</td>
-      <td>0.0</td>
-      <td>(0.0, 0.0)</td>
-      <td>False</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>name</th>
+<th>nametype</th>
+<th>recclass</th>
+<th>mass (g)</th>
+<th>fall</th>
+<th>year</th>
+<th>reclat</th>
+<th>reclong</th>
+<th>GeoLocation</th>
+<th>pre_1970</th>
+</tr>
+<tr>
+<th>id</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>57150</th>
+<td>Northwest Africa 7701</td>
+<td>Valid</td>
+<td>CK6</td>
+<td>55.0</td>
+<td>Found</td>
+<td>2101.0</td>
+<td>0.0</td>
+<td>0.0</td>
+<td>(0.0, 0.0)</td>
+<td>False</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
 </div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=10b3e913-e6d0-4b61-928e-da3eca59b08d">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<h6 id="Oops!-This-meteorite-actually-was-found-in-2010-(more-information-here).">Oops! This meteorite actually was found in 2010 (more information <a href="https://www.lpi.usra.edu/meteor/metbull.php?code=57150">here</a>).<a class="anchor-link" href="#Oops!-This-meteorite-actually-was-found-in-2010-(more-information-here).">&#182;</a></h6>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h6 id="Oops!-This-meteorite-actually-was-found-in-2010-(more-information-here).">Oops! This meteorite actually was found in 2010 (more information <a href="https://www.lpi.usra.edu/meteor/metbull.php?code=57150">here</a>).<a class="anchor-link" href="#Oops!-This-meteorite-actually-was-found-in-2010-(more-information-here).">¶</a></h6>
 </div>
 </div>
 </div>
-</div></div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=1a4e882e-d57d-40d6-ac10-9463303080f2">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">&#182;</a></h2><ol>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">¶</a></h2><ol>
 <li>Data cleaning</li>
 <li>Working with the index</li>
 <li><strong>Reshaping data</strong></li>
 <li>Aggregations and grouping</li>
 <li>Time series</li>
 </ol>
-
 </div>
 </div>
 </div>
-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=02934923-bf47-4245-ab1d-758bf221eb21">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_reshaping-data" data-mime-type="text/markdown">
-<h2 id="Reshaping-data">Reshaping data<a class="anchor-link" href="#Reshaping-data">&#182;</a></h2><p>The taxi dataset we have be working with is in a format conducive to an analysis. This isn't always the case. Let's now take a look at the TSA traveler throughput data, which compares 2021 throughput to the same day in 2020 and 2019:</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_reshaping-data" data-mime-type="text/markdown">
+<h2 id="Reshaping-data">Reshaping data<a class="anchor-link" href="#Reshaping-data">¶</a></h2><p>The taxi dataset we have be working with is in a format conducive to an analysis. This isn't always the case. Let's now take a look at the TSA traveler throughput data, which compares 2021 throughput to the same day in 2020 and 2019:</p>
 </div>
 </div>
 </div>
-</div><div class="fragment" ><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=b06e3e74-cf37-418e-966d-4b98d3c4ec71">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[20]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [20]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;../data/tsa_passenger_throughput.csv&#39;</span><span class="p">,</span> <span class="n">parse_dates</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;Date&#39;</span><span class="p">])</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">'../data/tsa_passenger_throughput.csv'</span><span class="p">,</span> <span class="n">parse_dates</span><span class="o">=</span><span class="p">[</span><span class="s1">'Date'</span><span class="p">])</span>
 <span class="n">tsa</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[20]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[20]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -21333,118 +12857,104 @@ <h2 id="Reshaping-data">Reshaping data<a class="anchor-link" href="#Reshaping-da
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>Date</th>
-      <th>2021 Traveler Throughput</th>
-      <th>2020 Traveler Throughput</th>
-      <th>2019 Traveler Throughput</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>0</th>
-      <td>2021-05-14</td>
-      <td>1716561.0</td>
-      <td>250467</td>
-      <td>2664549</td>
-    </tr>
-    <tr>
-      <th>1</th>
-      <td>2021-05-13</td>
-      <td>1743515.0</td>
-      <td>234928</td>
-      <td>2611324</td>
-    </tr>
-    <tr>
-      <th>2</th>
-      <td>2021-05-12</td>
-      <td>1424664.0</td>
-      <td>176667</td>
-      <td>2343675</td>
-    </tr>
-    <tr>
-      <th>3</th>
-      <td>2021-05-11</td>
-      <td>1315493.0</td>
-      <td>163205</td>
-      <td>2191387</td>
-    </tr>
-    <tr>
-      <th>4</th>
-      <td>2021-05-10</td>
-      <td>1657722.0</td>
-      <td>215645</td>
-      <td>2512315</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>Date</th>
+<th>2021 Traveler Throughput</th>
+<th>2020 Traveler Throughput</th>
+<th>2019 Traveler Throughput</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>0</th>
+<td>2021-05-14</td>
+<td>1716561.0</td>
+<td>250467</td>
+<td>2664549</td>
+</tr>
+<tr>
+<th>1</th>
+<td>2021-05-13</td>
+<td>1743515.0</td>
+<td>234928</td>
+<td>2611324</td>
+</tr>
+<tr>
+<th>2</th>
+<td>2021-05-12</td>
+<td>1424664.0</td>
+<td>176667</td>
+<td>2343675</td>
+</tr>
+<tr>
+<th>3</th>
+<td>2021-05-11</td>
+<td>1315493.0</td>
+<td>163205</td>
+<td>2191387</td>
+</tr>
+<tr>
+<th>4</th>
+<td>2021-05-10</td>
+<td>1657722.0</td>
+<td>215645</td>
+<td>2512315</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
 </div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=fe40e4dc-fcb9-41f6-b198-feed4f4069b4">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><em>Source: <a href="https://www.tsa.gov/coronavirus/passenger-throughput">TSA.gov</a></em></p>
-
 </div>
 </div>
 </div>
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=c5f42086-13f3-452d-8878-57f6cf0f97d1">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>First, we will lowercase the column names and take the first word (e.g., <code>2021</code> for <code>2021 Traveler Throughput</code>) to make this easier to work with:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=4f7e3c3d-b830-4ac5-957e-778a72e58185">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[21]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [21]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa</span> <span class="o">=</span> <span class="n">tsa</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span><span class="o">.</span><span class="n">split</span><span class="p">()[</span><span class="mi">0</span><span class="p">])</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa</span> <span class="o">=</span> <span class="n">tsa</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span><span class="o">.</span><span class="n">split</span><span class="p">()[</span><span class="mi">0</span><span class="p">])</span>
 <span class="n">tsa</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[21]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[21]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -21458,122 +12968,302 @@ <h2 id="Reshaping-data">Reshaping data<a class="anchor-link" href="#Reshaping-da
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>date</th>
-      <th>2021</th>
-      <th>2020</th>
-      <th>2019</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>0</th>
-      <td>2021-05-14</td>
-      <td>1716561.0</td>
-      <td>250467</td>
-      <td>2664549</td>
-    </tr>
-    <tr>
-      <th>1</th>
-      <td>2021-05-13</td>
-      <td>1743515.0</td>
-      <td>234928</td>
-      <td>2611324</td>
-    </tr>
-    <tr>
-      <th>2</th>
-      <td>2021-05-12</td>
-      <td>1424664.0</td>
-      <td>176667</td>
-      <td>2343675</td>
-    </tr>
-    <tr>
-      <th>3</th>
-      <td>2021-05-11</td>
-      <td>1315493.0</td>
-      <td>163205</td>
-      <td>2191387</td>
-    </tr>
-    <tr>
-      <th>4</th>
-      <td>2021-05-10</td>
-      <td>1657722.0</td>
-      <td>215645</td>
-      <td>2512315</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>date</th>
+<th>2021</th>
+<th>2020</th>
+<th>2019</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>0</th>
+<td>2021-05-14</td>
+<td>1716561.0</td>
+<td>250467</td>
+<td>2664549</td>
+</tr>
+<tr>
+<th>1</th>
+<td>2021-05-13</td>
+<td>1743515.0</td>
+<td>234928</td>
+<td>2611324</td>
+</tr>
+<tr>
+<th>2</th>
+<td>2021-05-12</td>
+<td>1424664.0</td>
+<td>176667</td>
+<td>2343675</td>
+</tr>
+<tr>
+<th>3</th>
+<td>2021-05-11</td>
+<td>1315493.0</td>
+<td>163205</td>
+<td>2191387</td>
+</tr>
+<tr>
+<th>4</th>
+<td>2021-05-10</td>
+<td>1657722.0</td>
+<td>215645</td>
+<td>2512315</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=6e24d581-09cb-47f5-8ca6-8b71bc41d1d4">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Now, we can work on reshaping it into two columns: the date and the traveler throughput from 2019 through 2021.</p>
+</div>
+</div>
+</div>
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=fa35300e-9a40-4ea2-8c20-adf98c2e1568">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<p>Now, we can work on reshaping it.</p>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Starting with the long-format data below, we want to <strong>melt</strong> it into wide-format data so that we can look at the evolution of the throughput over time:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=00789ab3-9d92-4c68-aefe-c9097df8ff13">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [22]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">utils</span> <span class="kn">import</span> <span class="n">highlight_long_format</span>
 
+<span class="n">colors</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'2021'</span><span class="p">:</span> <span class="s1">'pink'</span><span class="p">,</span> <span class="s1">'2020'</span><span class="p">:</span> <span class="s1">'skyblue'</span><span class="p">,</span> <span class="s1">'2019'</span><span class="p">:</span> <span class="s1">'lightgreen'</span><span class="p">}</span>
+<span class="n">highlight_long_format</span><span class="p">(</span><span class="n">tsa</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">2</span><span class="p">),</span> <span class="n">colors</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[22]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
+<style type="text/css">
+#T_23824_row0_col1, #T_23824_row1_col1 {
+  background-color: pink;
+}
+#T_23824_row0_col2, #T_23824_row1_col2 {
+  background-color: skyblue;
+}
+#T_23824_row0_col3, #T_23824_row1_col3 {
+  background-color: lightgreen;
+}
+#T_23824_level0_col1 {
+  background-color: pink;
+}
+#T_23824_level0_col2 {
+  background-color: skyblue;
+}
+#T_23824_level0_col3 {
+  background-color: lightgreen;
+}
+</style>
+<table id="T_23824">
+<thead>
+<tr>
+<th class="blank level0"> </th>
+<th class="col_heading level0 col0" id="T_23824_level0_col0">date</th>
+<th class="col_heading level0 col1" id="T_23824_level0_col1">2021</th>
+<th class="col_heading level0 col2" id="T_23824_level0_col2">2020</th>
+<th class="col_heading level0 col3" id="T_23824_level0_col3">2019</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th class="row_heading level0 row0" id="T_23824_level0_row0">0</th>
+<td class="data row0 col0" id="T_23824_row0_col0">2021-05-14 00:00:00</td>
+<td class="data row0 col1" id="T_23824_row0_col1">1716561.000000</td>
+<td class="data row0 col2" id="T_23824_row0_col2">250467</td>
+<td class="data row0 col3" id="T_23824_row0_col3">2664549</td>
+</tr>
+<tr>
+<th class="row_heading level0 row1" id="T_23824_level0_row1">1</th>
+<td class="data row1 col0" id="T_23824_row1_col0">2021-05-13 00:00:00</td>
+<td class="data row1 col1" id="T_23824_row1_col1">1743515.000000</td>
+<td class="data row1 col2" id="T_23824_row1_col2">234928</td>
+<td class="data row1 col3" id="T_23824_row1_col3">2611324</td>
+</tr>
+</tbody>
+</table>
+</div>
 </div>
 </div>
 </div>
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=55d4ae45-0a86-46af-89b6-4c78ce1cd688">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_melting" data-mime-type="text/markdown">
-<h3 id="Melting">Melting<a class="anchor-link" href="#Melting">&#182;</a></h3><p>Melting helps convert our data into long format. Now, we have all the traveler throughput numbers in a single column:</p>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Note that the two rows above contain the same data as the six rows below:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=b0a77c53-3ba9-4bf1-a8cf-b128962e6b8f">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [23]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">utils</span> <span class="kn">import</span> <span class="n">highlight_wide_format</span>
 
+<span class="n">highlight_wide_format</span><span class="p">(</span><span class="n">tsa</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">2</span><span class="p">),</span> <span class="n">colors</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[23]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
+<style type="text/css">
+#T_ef5a8_row0_col1, #T_ef5a8_row0_col2, #T_ef5a8_row1_col1, #T_ef5a8_row1_col2 {
+  background-color: pink;
+}
+#T_ef5a8_row2_col1, #T_ef5a8_row2_col2, #T_ef5a8_row3_col1, #T_ef5a8_row3_col2 {
+  background-color: skyblue;
+}
+#T_ef5a8_row4_col1, #T_ef5a8_row4_col2, #T_ef5a8_row5_col1, #T_ef5a8_row5_col2 {
+  background-color: lightgreen;
+}
+</style>
+<table id="T_ef5a8">
+<thead>
+<tr>
+<th class="blank level0"> </th>
+<th class="col_heading level0 col0" id="T_ef5a8_level0_col0">date</th>
+<th class="col_heading level0 col1" id="T_ef5a8_level0_col1">year</th>
+<th class="col_heading level0 col2" id="T_ef5a8_level0_col2">travelers</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th class="row_heading level0 row0" id="T_ef5a8_level0_row0">0</th>
+<td class="data row0 col0" id="T_ef5a8_row0_col0">2021-05-14 00:00:00</td>
+<td class="data row0 col1" id="T_ef5a8_row0_col1">2021</td>
+<td class="data row0 col2" id="T_ef5a8_row0_col2">1716561.000000</td>
+</tr>
+<tr>
+<th class="row_heading level0 row1" id="T_ef5a8_level0_row1">1</th>
+<td class="data row1 col0" id="T_ef5a8_row1_col0">2021-05-13 00:00:00</td>
+<td class="data row1 col1" id="T_ef5a8_row1_col1">2021</td>
+<td class="data row1 col2" id="T_ef5a8_row1_col2">1743515.000000</td>
+</tr>
+<tr>
+<th class="row_heading level0 row2" id="T_ef5a8_level0_row2">2</th>
+<td class="data row2 col0" id="T_ef5a8_row2_col0">2020-05-14 00:00:00</td>
+<td class="data row2 col1" id="T_ef5a8_row2_col1">2020</td>
+<td class="data row2 col2" id="T_ef5a8_row2_col2">250467.000000</td>
+</tr>
+<tr>
+<th class="row_heading level0 row3" id="T_ef5a8_level0_row3">3</th>
+<td class="data row3 col0" id="T_ef5a8_row3_col0">2020-05-13 00:00:00</td>
+<td class="data row3 col1" id="T_ef5a8_row3_col1">2020</td>
+<td class="data row3 col2" id="T_ef5a8_row3_col2">234928.000000</td>
+</tr>
+<tr>
+<th class="row_heading level0 row4" id="T_ef5a8_level0_row4">4</th>
+<td class="data row4 col0" id="T_ef5a8_row4_col0">2019-05-14 00:00:00</td>
+<td class="data row4 col1" id="T_ef5a8_row4_col1">2019</td>
+<td class="data row4 col2" id="T_ef5a8_row4_col2">2664549.000000</td>
+</tr>
+<tr>
+<th class="row_heading level0 row5" id="T_ef5a8_level0_row5">5</th>
+<td class="data row5 col0" id="T_ef5a8_row5_col0">2019-05-13 00:00:00</td>
+<td class="data row5 col1" id="T_ef5a8_row5_col1">2019</td>
+<td class="data row5 col2" id="T_ef5a8_row5_col2">2611324.000000</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+</div>
+</div></div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=3f2d2044-65a1-422c-bff1-d2827ac9e24d">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Let's work on making this transformation.</p>
+</div>
+</div>
+</div>
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=fd52c051-596f-4962-8e01-e1845f853b7f">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_melting" data-mime-type="text/markdown">
+<h3 id="Melting">Melting<a class="anchor-link" href="#Melting">¶</a></h3><p>Melting helps convert our data into long format. Now, we have all the traveler throughput numbers in a single column:</p>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=d2cf07ed-890c-47f7-9ecb-8412102fd65b">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[22]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [24]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted</span> <span class="o">=</span> <span class="n">tsa</span><span class="o">.</span><span class="n">melt</span><span class="p">(</span>
-    <span class="n">id_vars</span><span class="o">=</span><span class="s1">&#39;date&#39;</span><span class="p">,</span> <span class="c1"># column that uniquely identifies a row (can be multiple)</span>
-    <span class="n">var_name</span><span class="o">=</span><span class="s1">&#39;year&#39;</span><span class="p">,</span> <span class="c1"># name for the new column created by melting</span>
-    <span class="n">value_name</span><span class="o">=</span><span class="s1">&#39;travelers&#39;</span> <span class="c1"># name for new column containing values from melted columns</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted</span> <span class="o">=</span> <span class="n">tsa</span><span class="o">.</span><span class="n">melt</span><span class="p">(</span>
+    <span class="n">id_vars</span><span class="o">=</span><span class="s1">'date'</span><span class="p">,</span> <span class="c1"># column that uniquely identifies a row (can be multiple)</span>
+    <span class="n">var_name</span><span class="o">=</span><span class="s1">'year'</span><span class="p">,</span> <span class="c1"># name for the new column created by melting</span>
+    <span class="n">value_name</span><span class="o">=</span><span class="s1">'travelers'</span> <span class="c1"># name for new column containing values from melted columns</span>
 <span class="p">)</span>
 <span class="n">tsa_melted</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="c1"># show some random entries</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[22]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[24]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -21587,102 +13277,89 @@ <h3 id="Melting">Melting<a class="anchor-link" href="#Melting">&#182;</a></h3><p
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>date</th>
-      <th>year</th>
-      <th>travelers</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>974</th>
-      <td>2020-09-12</td>
-      <td>2019</td>
-      <td>1879822.0</td>
-    </tr>
-    <tr>
-      <th>435</th>
-      <td>2021-03-05</td>
-      <td>2020</td>
-      <td>2198517.0</td>
-    </tr>
-    <tr>
-      <th>1029</th>
-      <td>2020-07-19</td>
-      <td>2019</td>
-      <td>2727355.0</td>
-    </tr>
-    <tr>
-      <th>680</th>
-      <td>2020-07-03</td>
-      <td>2020</td>
-      <td>718988.0</td>
-    </tr>
-    <tr>
-      <th>867</th>
-      <td>2020-12-28</td>
-      <td>2019</td>
-      <td>2500396.0</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>date</th>
+<th>year</th>
+<th>travelers</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>974</th>
+<td>2020-09-12</td>
+<td>2019</td>
+<td>1879822.0</td>
+</tr>
+<tr>
+<th>435</th>
+<td>2021-03-05</td>
+<td>2020</td>
+<td>2198517.0</td>
+</tr>
+<tr>
+<th>1029</th>
+<td>2020-07-19</td>
+<td>2019</td>
+<td>2727355.0</td>
+</tr>
+<tr>
+<th>680</th>
+<td>2020-07-03</td>
+<td>2020</td>
+<td>718988.0</td>
+</tr>
+<tr>
+<th>867</th>
+<td>2020-12-28</td>
+<td>2019</td>
+<td>2500396.0</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=4d7e95ce-c58c-4328-9f97-1a2711b7e8cf">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>To convert this into a time series of traveler throughput, we need to replace the year in the <code>date</code> column with the one in the <code>year</code> column. Otherwise, we are marking prior years' numbers with the wrong year.</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=c591736f-19af-4576-a1c2-f308e88e0ba3">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[23]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [25]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted</span> <span class="o">=</span> <span class="n">tsa_melted</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
-    <span class="n">date</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">year</span> <span class="o">+</span> <span class="n">x</span><span class="o">.</span><span class="n">date</span><span class="o">.</span><span class="n">dt</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">&#39;-%m-</span><span class="si">%d</span><span class="s1">&#39;</span><span class="p">))</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted</span> <span class="o">=</span> <span class="n">tsa_melted</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
+    <span class="n">date</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">year</span> <span class="o">+</span> <span class="n">x</span><span class="o">.</span><span class="n">date</span><span class="o">.</span><span class="n">dt</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">'-%m-</span><span class="si">%d</span><span class="s1">'</span><span class="p">))</span>
 <span class="p">)</span>
 <span class="n">tsa_melted</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[23]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[25]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -21696,99 +13373,86 @@ <h3 id="Melting">Melting<a class="anchor-link" href="#Melting">&#182;</a></h3><p
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>date</th>
-      <th>year</th>
-      <th>travelers</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>974</th>
-      <td>2019-09-12</td>
-      <td>2019</td>
-      <td>1879822.0</td>
-    </tr>
-    <tr>
-      <th>435</th>
-      <td>2020-03-05</td>
-      <td>2020</td>
-      <td>2198517.0</td>
-    </tr>
-    <tr>
-      <th>1029</th>
-      <td>2019-07-19</td>
-      <td>2019</td>
-      <td>2727355.0</td>
-    </tr>
-    <tr>
-      <th>680</th>
-      <td>2020-07-03</td>
-      <td>2020</td>
-      <td>718988.0</td>
-    </tr>
-    <tr>
-      <th>867</th>
-      <td>2019-12-28</td>
-      <td>2019</td>
-      <td>2500396.0</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>date</th>
+<th>year</th>
+<th>travelers</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>974</th>
+<td>2019-09-12</td>
+<td>2019</td>
+<td>1879822.0</td>
+</tr>
+<tr>
+<th>435</th>
+<td>2020-03-05</td>
+<td>2020</td>
+<td>2198517.0</td>
+</tr>
+<tr>
+<th>1029</th>
+<td>2019-07-19</td>
+<td>2019</td>
+<td>2727355.0</td>
+</tr>
+<tr>
+<th>680</th>
+<td>2020-07-03</td>
+<td>2020</td>
+<td>718988.0</td>
+</tr>
+<tr>
+<th>867</th>
+<td>2019-12-28</td>
+<td>2019</td>
+<td>2500396.0</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=acf5a87a-84d9-401c-967f-5db0b46be715">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_dropna-method" data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_dropna-method" data-mime-type="text/markdown">
 <p>This leaves us with some null values (the dates that aren't present in the dataset):</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=8763d003-24b7-43aa-8a0b-19a437e995b3">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[24]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [26]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">&#39;date&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">tail</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">'date'</span><span class="p">)</span><span class="o">.</span><span class="n">tail</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[24]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[26]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -21802,88 +13466,75 @@ <h3 id="Melting">Melting<a class="anchor-link" href="#Melting">&#182;</a></h3><p
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>date</th>
-      <th>year</th>
-      <th>travelers</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>136</th>
-      <td>2021-12-29</td>
-      <td>2021</td>
-      <td>NaN</td>
-    </tr>
-    <tr>
-      <th>135</th>
-      <td>2021-12-30</td>
-      <td>2021</td>
-      <td>NaN</td>
-    </tr>
-    <tr>
-      <th>134</th>
-      <td>2021-12-31</td>
-      <td>2021</td>
-      <td>NaN</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>date</th>
+<th>year</th>
+<th>travelers</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>136</th>
+<td>2021-12-29</td>
+<td>2021</td>
+<td>NaN</td>
+</tr>
+<tr>
+<th>135</th>
+<td>2021-12-30</td>
+<td>2021</td>
+<td>NaN</td>
+</tr>
+<tr>
+<th>134</th>
+<td>2021-12-31</td>
+<td>2021</td>
+<td>NaN</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=af2bb599-24e4-4395-aea7-e5634bc7e9e3">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>These can be dropped with the <code>dropna()</code> method:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=2bdd2c3a-4e85-497c-8e49-c0f7c1209917">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[25]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [27]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted</span> <span class="o">=</span> <span class="n">tsa_melted</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span>
-<span class="n">tsa_melted</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">&#39;date&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">tail</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted</span> <span class="o">=</span> <span class="n">tsa_melted</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span>
+<span class="n">tsa_melted</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">'date'</span><span class="p">)</span><span class="o">.</span><span class="n">tail</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[25]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[27]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -21897,91 +13548,78 @@ <h3 id="Melting">Melting<a class="anchor-link" href="#Melting">&#182;</a></h3><p
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>date</th>
-      <th>year</th>
-      <th>travelers</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2</th>
-      <td>2021-05-12</td>
-      <td>2021</td>
-      <td>1424664.0</td>
-    </tr>
-    <tr>
-      <th>1</th>
-      <td>2021-05-13</td>
-      <td>2021</td>
-      <td>1743515.0</td>
-    </tr>
-    <tr>
-      <th>0</th>
-      <td>2021-05-14</td>
-      <td>2021</td>
-      <td>1716561.0</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>date</th>
+<th>year</th>
+<th>travelers</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2</th>
+<td>2021-05-12</td>
+<td>2021</td>
+<td>1424664.0</td>
+</tr>
+<tr>
+<th>1</th>
+<td>2021-05-13</td>
+<td>2021</td>
+<td>1743515.0</td>
+</tr>
+<tr>
+<th>0</th>
+<td>2021-05-14</td>
+<td>2021</td>
+<td>1716561.0</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=7c1c9dfb-fbba-4ba4-a076-29d253eabe5b">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_pivoting" data-mime-type="text/markdown">
-<h3 id="Pivoting">Pivoting<a class="anchor-link" href="#Pivoting">&#182;</a></h3><p>Using the melted data, we can pivot the data to compare TSA traveler throughput on specific days across years:</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_pivoting" data-mime-type="text/markdown">
+<h3 id="Pivoting">Pivoting<a class="anchor-link" href="#Pivoting">¶</a></h3><p>Using the melted data, we can pivot the data to compare TSA traveler throughput on specific days across years:</p>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=3507eb04-e15a-4d22-9a75-ab998895c563">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[26]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [28]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_pivoted</span> <span class="o">=</span> <span class="n">tsa_melted</span>\
-    <span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">&#39;date.dt.month == 3 and date.dt.day &lt;= 10&#39;</span><span class="p">)</span>\
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa_pivoted</span> <span class="o">=</span> <span class="n">tsa_melted</span>\
+    <span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">'date.dt.month == 3 and date.dt.day &lt;= 10'</span><span class="p">)</span>\
     <span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">day_in_march</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">date</span><span class="o">.</span><span class="n">dt</span><span class="o">.</span><span class="n">day</span><span class="p">)</span>\
-    <span class="o">.</span><span class="n">pivot</span><span class="p">(</span><span class="n">index</span><span class="o">=</span><span class="s1">&#39;year&#39;</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="s1">&#39;day_in_march&#39;</span><span class="p">,</span> <span class="n">values</span><span class="o">=</span><span class="s1">&#39;travelers&#39;</span><span class="p">)</span>
+    <span class="o">.</span><span class="n">pivot</span><span class="p">(</span><span class="n">index</span><span class="o">=</span><span class="s1">'year'</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="s1">'day_in_march'</span><span class="p">,</span> <span class="n">values</span><span class="o">=</span><span class="s1">'travelers'</span><span class="p">)</span>
 <span class="n">tsa_pivoted</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[26]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[28]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -21995,140 +13633,126 @@ <h3 id="Pivoting">Pivoting<a class="anchor-link" href="#Pivoting">&#182;</a></h3
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th>day_in_march</th>
-      <th>1</th>
-      <th>2</th>
-      <th>3</th>
-      <th>4</th>
-      <th>5</th>
-      <th>6</th>
-      <th>7</th>
-      <th>8</th>
-      <th>9</th>
-      <th>10</th>
-    </tr>
-    <tr>
-      <th>year</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2019</th>
-      <td>2257920.0</td>
-      <td>1979558.0</td>
-      <td>2143619.0</td>
-      <td>2402692.0</td>
-      <td>2543689.0</td>
-      <td>2156262.0</td>
-      <td>2485430.0</td>
-      <td>2378673.0</td>
-      <td>2122898.0</td>
-      <td>2187298.0</td>
-    </tr>
-    <tr>
-      <th>2020</th>
-      <td>2089641.0</td>
-      <td>1736393.0</td>
-      <td>1877401.0</td>
-      <td>2130015.0</td>
-      <td>2198517.0</td>
-      <td>1844811.0</td>
-      <td>2119867.0</td>
-      <td>1909363.0</td>
-      <td>1617220.0</td>
-      <td>1702686.0</td>
-    </tr>
-    <tr>
-      <th>2021</th>
-      <td>1049692.0</td>
-      <td>744812.0</td>
-      <td>826924.0</td>
-      <td>1107534.0</td>
-      <td>1168734.0</td>
-      <td>992406.0</td>
-      <td>1278557.0</td>
-      <td>1119303.0</td>
-      <td>825745.0</td>
-      <td>974221.0</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th>day_in_march</th>
+<th>1</th>
+<th>2</th>
+<th>3</th>
+<th>4</th>
+<th>5</th>
+<th>6</th>
+<th>7</th>
+<th>8</th>
+<th>9</th>
+<th>10</th>
+</tr>
+<tr>
+<th>year</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2019</th>
+<td>2257920.0</td>
+<td>1979558.0</td>
+<td>2143619.0</td>
+<td>2402692.0</td>
+<td>2543689.0</td>
+<td>2156262.0</td>
+<td>2485430.0</td>
+<td>2378673.0</td>
+<td>2122898.0</td>
+<td>2187298.0</td>
+</tr>
+<tr>
+<th>2020</th>
+<td>2089641.0</td>
+<td>1736393.0</td>
+<td>1877401.0</td>
+<td>2130015.0</td>
+<td>2198517.0</td>
+<td>1844811.0</td>
+<td>2119867.0</td>
+<td>1909363.0</td>
+<td>1617220.0</td>
+<td>1702686.0</td>
+</tr>
+<tr>
+<th>2021</th>
+<td>1049692.0</td>
+<td>744812.0</td>
+<td>826924.0</td>
+<td>1107534.0</td>
+<td>1168734.0</td>
+<td>992406.0</td>
+<td>1278557.0</td>
+<td>1119303.0</td>
+<td>825745.0</td>
+<td>974221.0</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=472179dc-8fbe-4ff2-8df5-0c40d4818827">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><strong>Important</strong>: We aren't covering the <code>unstack()</code> and <code>stack()</code> methods, which are additional ways to pivot and melt, respectively. These come in handy when we have a multi-level index (e.g., if we ran <code>set_index()</code> with more than one column). More information can be found <a href="https://pandas.pydata.org/pandas-docs/stable/user_guide/reshaping.html">here</a>.</p>
-
 </div>
 </div>
 </div>
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=abee4e0e-26a4-4c6e-a7eb-0bad992ad955">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_transposing" data-mime-type="text/markdown">
-<h3 id="Transposing">Transposing<a class="anchor-link" href="#Transposing">&#182;</a></h3><p>The <code>T</code> attribute provides a quick way to flip rows and columns.</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_transposing" data-mime-type="text/markdown">
+<h3 id="Transposing">Transposing<a class="anchor-link" href="#Transposing">¶</a></h3><p>The <code>T</code> attribute provides a quick way to flip rows and columns.</p>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=68607e99-1692-4c48-8579-a43b530dbd75">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[27]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [29]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_pivoted</span><span class="o">.</span><span class="n">T</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa_pivoted</span><span class="o">.</span><span class="n">T</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[27]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[29]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -22142,136 +13766,123 @@ <h3 id="Transposing">Transposing<a class="anchor-link" href="#Transposing">&#182
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th>year</th>
-      <th>2019</th>
-      <th>2020</th>
-      <th>2021</th>
-    </tr>
-    <tr>
-      <th>day_in_march</th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>1</th>
-      <td>2257920.0</td>
-      <td>2089641.0</td>
-      <td>1049692.0</td>
-    </tr>
-    <tr>
-      <th>2</th>
-      <td>1979558.0</td>
-      <td>1736393.0</td>
-      <td>744812.0</td>
-    </tr>
-    <tr>
-      <th>3</th>
-      <td>2143619.0</td>
-      <td>1877401.0</td>
-      <td>826924.0</td>
-    </tr>
-    <tr>
-      <th>4</th>
-      <td>2402692.0</td>
-      <td>2130015.0</td>
-      <td>1107534.0</td>
-    </tr>
-    <tr>
-      <th>5</th>
-      <td>2543689.0</td>
-      <td>2198517.0</td>
-      <td>1168734.0</td>
-    </tr>
-    <tr>
-      <th>6</th>
-      <td>2156262.0</td>
-      <td>1844811.0</td>
-      <td>992406.0</td>
-    </tr>
-    <tr>
-      <th>7</th>
-      <td>2485430.0</td>
-      <td>2119867.0</td>
-      <td>1278557.0</td>
-    </tr>
-    <tr>
-      <th>8</th>
-      <td>2378673.0</td>
-      <td>1909363.0</td>
-      <td>1119303.0</td>
-    </tr>
-    <tr>
-      <th>9</th>
-      <td>2122898.0</td>
-      <td>1617220.0</td>
-      <td>825745.0</td>
-    </tr>
-    <tr>
-      <th>10</th>
-      <td>2187298.0</td>
-      <td>1702686.0</td>
-      <td>974221.0</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th>year</th>
+<th>2019</th>
+<th>2020</th>
+<th>2021</th>
+</tr>
+<tr>
+<th>day_in_march</th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>1</th>
+<td>2257920.0</td>
+<td>2089641.0</td>
+<td>1049692.0</td>
+</tr>
+<tr>
+<th>2</th>
+<td>1979558.0</td>
+<td>1736393.0</td>
+<td>744812.0</td>
+</tr>
+<tr>
+<th>3</th>
+<td>2143619.0</td>
+<td>1877401.0</td>
+<td>826924.0</td>
+</tr>
+<tr>
+<th>4</th>
+<td>2402692.0</td>
+<td>2130015.0</td>
+<td>1107534.0</td>
+</tr>
+<tr>
+<th>5</th>
+<td>2543689.0</td>
+<td>2198517.0</td>
+<td>1168734.0</td>
+</tr>
+<tr>
+<th>6</th>
+<td>2156262.0</td>
+<td>1844811.0</td>
+<td>992406.0</td>
+</tr>
+<tr>
+<th>7</th>
+<td>2485430.0</td>
+<td>2119867.0</td>
+<td>1278557.0</td>
+</tr>
+<tr>
+<th>8</th>
+<td>2378673.0</td>
+<td>1909363.0</td>
+<td>1119303.0</td>
+</tr>
+<tr>
+<th>9</th>
+<td>2122898.0</td>
+<td>1617220.0</td>
+<td>825745.0</td>
+</tr>
+<tr>
+<th>10</th>
+<td>2187298.0</td>
+<td>1702686.0</td>
+<td>974221.0</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=fb294961-c185-47cd-a709-e9a02e2e4924">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_merging" data-mime-type="text/markdown">
-<h3 id="Merging">Merging<a class="anchor-link" href="#Merging">&#182;</a></h3><p>We typically observe changes in air travel around the holidays, so adding information about the dates in the TSA dataset provides more context. The <code>holidays.csv</code> file contains a few major holidays in the United States:</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_merging" data-mime-type="text/markdown">
+<h3 id="Merging">Merging<a class="anchor-link" href="#Merging">¶</a></h3><p>We typically observe changes in air travel around the holidays, so adding information about the dates in the TSA dataset provides more context. The <code>holidays.csv</code> file contains a few major holidays in the United States:</p>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=7eef15b0-a0a3-42ae-9d60-a829682aeca0">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[28]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [30]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">holidays</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;../data/holidays.csv&#39;</span><span class="p">,</span> <span class="n">parse_dates</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">index_col</span><span class="o">=</span><span class="s1">&#39;date&#39;</span><span class="p">)</span>
-<span class="n">holidays</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">&#39;2019&#39;</span><span class="p">]</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">holidays</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">'../data/holidays.csv'</span><span class="p">,</span> <span class="n">parse_dates</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">index_col</span><span class="o">=</span><span class="s1">'date'</span><span class="p">)</span>
+<span class="n">holidays</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">'2019'</span><span class="p">]</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[28]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[30]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -22285,106 +13896,93 @@ <h3 id="Merging">Merging<a class="anchor-link" href="#Merging">&#182;</a></h3><p
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>holiday</th>
-    </tr>
-    <tr>
-      <th>date</th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2019-01-01</th>
-      <td>New Year's Day</td>
-    </tr>
-    <tr>
-      <th>2019-05-27</th>
-      <td>Memorial Day</td>
-    </tr>
-    <tr>
-      <th>2019-07-04</th>
-      <td>July 4th</td>
-    </tr>
-    <tr>
-      <th>2019-09-02</th>
-      <td>Labor Day</td>
-    </tr>
-    <tr>
-      <th>2019-11-28</th>
-      <td>Thanksgiving</td>
-    </tr>
-    <tr>
-      <th>2019-12-24</th>
-      <td>Christmas Eve</td>
-    </tr>
-    <tr>
-      <th>2019-12-25</th>
-      <td>Christmas Day</td>
-    </tr>
-    <tr>
-      <th>2019-12-31</th>
-      <td>New Year's Eve</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>holiday</th>
+</tr>
+<tr>
+<th>date</th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2019-01-01</th>
+<td>New Year's Day</td>
+</tr>
+<tr>
+<th>2019-05-27</th>
+<td>Memorial Day</td>
+</tr>
+<tr>
+<th>2019-07-04</th>
+<td>July 4th</td>
+</tr>
+<tr>
+<th>2019-09-02</th>
+<td>Labor Day</td>
+</tr>
+<tr>
+<th>2019-11-28</th>
+<td>Thanksgiving</td>
+</tr>
+<tr>
+<th>2019-12-24</th>
+<td>Christmas Eve</td>
+</tr>
+<tr>
+<th>2019-12-25</th>
+<td>Christmas Day</td>
+</tr>
+<tr>
+<th>2019-12-31</th>
+<td>New Year's Eve</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=fc3c6b8b-b7e1-4ac8-a38a-b36ff17bc850">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Merging the holidays with the TSA traveler throughput data will provide more context for our analysis:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=b738bd1b-0c73-4cb6-9616-236fb3ffb8a2">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[29]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [31]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holidays</span> <span class="o">=</span> <span class="n">tsa_melted</span>\
-    <span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">holidays</span><span class="p">,</span> <span class="n">left_on</span><span class="o">=</span><span class="s1">&#39;date&#39;</span><span class="p">,</span> <span class="n">right_index</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;left&#39;</span><span class="p">)</span>\
-    <span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">&#39;date&#39;</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holidays</span> <span class="o">=</span> <span class="n">tsa_melted</span>\
+    <span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">holidays</span><span class="p">,</span> <span class="n">left_on</span><span class="o">=</span><span class="s1">'date'</span><span class="p">,</span> <span class="n">right_index</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">'left'</span><span class="p">)</span>\
+    <span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">'date'</span><span class="p">)</span>
 <span class="n">tsa_melted_holidays</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[29]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[31]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -22398,165 +13996,147 @@ <h3 id="Merging">Merging<a class="anchor-link" href="#Merging">&#182;</a></h3><p
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>date</th>
-      <th>year</th>
-      <th>travelers</th>
-      <th>holiday</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>863</th>
-      <td>2019-01-01</td>
-      <td>2019</td>
-      <td>2126398.0</td>
-      <td>New Year's Day</td>
-    </tr>
-    <tr>
-      <th>862</th>
-      <td>2019-01-02</td>
-      <td>2019</td>
-      <td>2345103.0</td>
-      <td>NaN</td>
-    </tr>
-    <tr>
-      <th>861</th>
-      <td>2019-01-03</td>
-      <td>2019</td>
-      <td>2202111.0</td>
-      <td>NaN</td>
-    </tr>
-    <tr>
-      <th>860</th>
-      <td>2019-01-04</td>
-      <td>2019</td>
-      <td>2150571.0</td>
-      <td>NaN</td>
-    </tr>
-    <tr>
-      <th>859</th>
-      <td>2019-01-05</td>
-      <td>2019</td>
-      <td>1975947.0</td>
-      <td>NaN</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>date</th>
+<th>year</th>
+<th>travelers</th>
+<th>holiday</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>863</th>
+<td>2019-01-01</td>
+<td>2019</td>
+<td>2126398.0</td>
+<td>New Year's Day</td>
+</tr>
+<tr>
+<th>862</th>
+<td>2019-01-02</td>
+<td>2019</td>
+<td>2345103.0</td>
+<td>NaN</td>
+</tr>
+<tr>
+<th>861</th>
+<td>2019-01-03</td>
+<td>2019</td>
+<td>2202111.0</td>
+<td>NaN</td>
+</tr>
+<tr>
+<th>860</th>
+<td>2019-01-04</td>
+<td>2019</td>
+<td>2150571.0</td>
+<td>NaN</td>
+</tr>
+<tr>
+<th>859</th>
+<td>2019-01-05</td>
+<td>2019</td>
+<td>1975947.0</td>
+<td>NaN</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=ef78ac45-6a52-4719-b531-52ea846f48dd">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><em>Tip: There are many parameters for this method, so be sure to check out the <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.merge.html">documentation</a>. To append rows, take a look at the <code>pd.concat()</code> function.</em></p>
-
 </div>
 </div>
 </div>
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=00efa48d-b2e3-49c0-bd2a-b073a62f26ab">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_fillna-method" data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_fillna-method" data-mime-type="text/markdown">
 <p>We can take this a step further by marking a few days before and after each holiday as part of the holiday. This would make it easier to compare holiday travel across years and look for any uptick in travel around the holidays:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=16e9a948-55fb-4c7d-af08-67a7c718ff8d">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[30]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [32]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span> <span class="o">=</span> <span class="n">tsa_melted_holidays</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span> <span class="o">=</span> <span class="n">tsa_melted_holidays</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
     <span class="n">holiday</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span>
         <span class="n">x</span><span class="o">.</span><span class="n">holiday</span>\
-            <span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="n">method</span><span class="o">=</span><span class="s1">&#39;ffill&#39;</span><span class="p">,</span> <span class="n">limit</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>\
-            <span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="n">method</span><span class="o">=</span><span class="s1">&#39;bfill&#39;</span><span class="p">,</span> <span class="n">limit</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+            <span class="o">.</span><span class="n">ffill</span><span class="p">(</span><span class="n">limit</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>\
+            <span class="o">.</span><span class="n">bfill</span><span class="p">(</span><span class="n">limit</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
 <span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div>
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=7228baa8-3fd6-4fcb-a2ef-5ac3f3f566a0">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<p><em>Tip: Check out the <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.fillna.html">documentation</a> for the full list of functionality available with the <code>fillna()</code> method.</em></p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><em>Tip: Check out the <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.fillna.html"><code>fillna()</code> method documentation</a> for additional functionality for replacing <code>NA</code>/<code>NaN</code> values.</em></p>
 </div>
 </div>
 </div>
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=ecc512de-592b-4a8d-8424-ddb4da991e0c">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Notice that we now have values for the day after each holiday and the two days prior. Thanksgiving in 2019 was on November 28th, so the 26th, 27th, and 29th were filled. Since we are only replacing null values, we don't override Christmas Day with the forward fill of Christmas Eve:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=8516dbf4-9c4b-4726-9639-d10a39867928">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[31]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [33]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">query</span><span class="p">(</span>
-    <span class="s1">&#39;year == &quot;2019&quot; and &#39;</span>
-    <span class="s1">&#39;(holiday == &quot;Thanksgiving&quot; or holiday.str.contains(&quot;Christmas&quot;))&#39;</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">query</span><span class="p">(</span>
+    <span class="s1">'year == "2019" and '</span>
+    <span class="s1">'(holiday == "Thanksgiving" or holiday.str.contains("Christmas"))'</span>
 <span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[31]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[33]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -22570,166 +14150,151 @@ <h3 id="Merging">Merging<a class="anchor-link" href="#Merging">&#182;</a></h3><p
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>date</th>
-      <th>year</th>
-      <th>travelers</th>
-      <th>holiday</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>899</th>
-      <td>2019-11-26</td>
-      <td>2019</td>
-      <td>1591158.0</td>
-      <td>Thanksgiving</td>
-    </tr>
-    <tr>
-      <th>898</th>
-      <td>2019-11-27</td>
-      <td>2019</td>
-      <td>1968137.0</td>
-      <td>Thanksgiving</td>
-    </tr>
-    <tr>
-      <th>897</th>
-      <td>2019-11-28</td>
-      <td>2019</td>
-      <td>2648268.0</td>
-      <td>Thanksgiving</td>
-    </tr>
-    <tr>
-      <th>896</th>
-      <td>2019-11-29</td>
-      <td>2019</td>
-      <td>2882915.0</td>
-      <td>Thanksgiving</td>
-    </tr>
-    <tr>
-      <th>873</th>
-      <td>2019-12-22</td>
-      <td>2019</td>
-      <td>1981433.0</td>
-      <td>Christmas Eve</td>
-    </tr>
-    <tr>
-      <th>872</th>
-      <td>2019-12-23</td>
-      <td>2019</td>
-      <td>1937235.0</td>
-      <td>Christmas Eve</td>
-    </tr>
-    <tr>
-      <th>871</th>
-      <td>2019-12-24</td>
-      <td>2019</td>
-      <td>2552194.0</td>
-      <td>Christmas Eve</td>
-    </tr>
-    <tr>
-      <th>870</th>
-      <td>2019-12-25</td>
-      <td>2019</td>
-      <td>2582580.0</td>
-      <td>Christmas Day</td>
-    </tr>
-    <tr>
-      <th>869</th>
-      <td>2019-12-26</td>
-      <td>2019</td>
-      <td>2470786.0</td>
-      <td>Christmas Day</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>date</th>
+<th>year</th>
+<th>travelers</th>
+<th>holiday</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>899</th>
+<td>2019-11-26</td>
+<td>2019</td>
+<td>1591158.0</td>
+<td>Thanksgiving</td>
+</tr>
+<tr>
+<th>898</th>
+<td>2019-11-27</td>
+<td>2019</td>
+<td>1968137.0</td>
+<td>Thanksgiving</td>
+</tr>
+<tr>
+<th>897</th>
+<td>2019-11-28</td>
+<td>2019</td>
+<td>2648268.0</td>
+<td>Thanksgiving</td>
+</tr>
+<tr>
+<th>896</th>
+<td>2019-11-29</td>
+<td>2019</td>
+<td>2882915.0</td>
+<td>Thanksgiving</td>
+</tr>
+<tr>
+<th>873</th>
+<td>2019-12-22</td>
+<td>2019</td>
+<td>1981433.0</td>
+<td>Christmas Eve</td>
+</tr>
+<tr>
+<th>872</th>
+<td>2019-12-23</td>
+<td>2019</td>
+<td>1937235.0</td>
+<td>Christmas Eve</td>
+</tr>
+<tr>
+<th>871</th>
+<td>2019-12-24</td>
+<td>2019</td>
+<td>2552194.0</td>
+<td>Christmas Eve</td>
+</tr>
+<tr>
+<th>870</th>
+<td>2019-12-25</td>
+<td>2019</td>
+<td>2582580.0</td>
+<td>Christmas Day</td>
+</tr>
+<tr>
+<th>869</th>
+<td>2019-12-26</td>
+<td>2019</td>
+<td>2470786.0</td>
+<td>Christmas Day</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=63b60c6b-5ab1-41c8-a1ca-3f4640b5894e">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">&#182;</a></h2><ol>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">¶</a></h2><ol>
 <li>Data cleaning</li>
 <li>Working with the index</li>
 <li>Reshaping data</li>
 <li><strong>Aggregations and grouping</strong></li>
 <li>Time series</li>
 </ol>
-
 </div>
 </div>
 </div>
-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=286bf0c8-fd66-472d-8512-60f9da7dfff6">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_aggregations-and-grouping" data-mime-type="text/markdown">
-<h2 id="Aggregations-and-grouping">Aggregations and grouping<a class="anchor-link" href="#Aggregations-and-grouping">&#182;</a></h2><p>After reshaping and cleaning our data, we can perform aggregations to summarize it in a variety of ways. In this section, we will explore using pivot tables, crosstabs, and group by operations to aggregate the data.</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_aggregations-and-grouping" data-mime-type="text/markdown">
+<h2 id="Aggregations-and-grouping">Aggregations and grouping<a class="anchor-link" href="#Aggregations-and-grouping">¶</a></h2><p>After reshaping and cleaning our data, we can perform aggregations to summarize it in a variety of ways. In this section, we will explore using pivot tables, crosstabs, and group by operations to aggregate the data.</p>
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f5da03b7-84f8-4f7c-b1dd-654910e6b526">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_pivot-tables" data-mime-type="text/markdown">
-<h3 id="Pivot-tables">Pivot tables<a class="anchor-link" href="#Pivot-tables">&#182;</a></h3><p>We can build a pivot table to compare holiday travel across the years in our dataset:</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_pivot-tables" data-mime-type="text/markdown">
+<h3 id="Pivot-tables">Pivot tables<a class="anchor-link" href="#Pivot-tables">¶</a></h3><p>We can build a pivot table to compare holiday travel across the years in our dataset:</p>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=22a43bea-1065-404b-843e-38e22c361867">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[32]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [34]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">pivot_table</span><span class="p">(</span>
-    <span class="n">index</span><span class="o">=</span><span class="s1">&#39;year&#39;</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="s1">&#39;holiday&#39;</span><span class="p">,</span> 
-    <span class="n">values</span><span class="o">=</span><span class="s1">&#39;travelers&#39;</span><span class="p">,</span> <span class="n">aggfunc</span><span class="o">=</span><span class="s1">&#39;sum&#39;</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">pivot_table</span><span class="p">(</span>
+    <span class="n">index</span><span class="o">=</span><span class="s1">'year'</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="s1">'holiday'</span><span class="p">,</span> 
+    <span class="n">values</span><span class="o">=</span><span class="s1">'travelers'</span><span class="p">,</span> <span class="n">aggfunc</span><span class="o">=</span><span class="s1">'sum'</span>
 <span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[32]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[34]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -22743,121 +14308,108 @@ <h3 id="Pivot-tables">Pivot tables<a class="anchor-link" href="#Pivot-tables">&#
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th>holiday</th>
-      <th>Christmas Day</th>
-      <th>Christmas Eve</th>
-      <th>July 4th</th>
-      <th>Labor Day</th>
-      <th>Memorial Day</th>
-      <th>New Year's Day</th>
-      <th>New Year's Eve</th>
-      <th>Thanksgiving</th>
-    </tr>
-    <tr>
-      <th>year</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2019</th>
-      <td>5053366.0</td>
-      <td>6470862.0</td>
-      <td>9414228.0</td>
-      <td>8314811.0</td>
-      <td>9720691.0</td>
-      <td>4471501.0</td>
-      <td>6535464.0</td>
-      <td>9090478.0</td>
-    </tr>
-    <tr>
-      <th>2020</th>
-      <td>1745242.0</td>
-      <td>3029810.0</td>
-      <td>2682541.0</td>
-      <td>2993653.0</td>
-      <td>1126253.0</td>
-      <td>4490388.0</td>
-      <td>3057449.0</td>
-      <td>3364358.0</td>
-    </tr>
-    <tr>
-      <th>2021</th>
-      <td>NaN</td>
-      <td>NaN</td>
-      <td>NaN</td>
-      <td>NaN</td>
-      <td>NaN</td>
-      <td>1998871.0</td>
-      <td>NaN</td>
-      <td>NaN</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th>holiday</th>
+<th>Christmas Day</th>
+<th>Christmas Eve</th>
+<th>July 4th</th>
+<th>Labor Day</th>
+<th>Memorial Day</th>
+<th>New Year's Day</th>
+<th>New Year's Eve</th>
+<th>Thanksgiving</th>
+</tr>
+<tr>
+<th>year</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2019</th>
+<td>5053366.0</td>
+<td>6470862.0</td>
+<td>9414228.0</td>
+<td>8314811.0</td>
+<td>9720691.0</td>
+<td>4471501.0</td>
+<td>6535464.0</td>
+<td>9090478.0</td>
+</tr>
+<tr>
+<th>2020</th>
+<td>1745242.0</td>
+<td>3029810.0</td>
+<td>2682541.0</td>
+<td>2993653.0</td>
+<td>1126253.0</td>
+<td>4490388.0</td>
+<td>3057449.0</td>
+<td>3364358.0</td>
+</tr>
+<tr>
+<th>2021</th>
+<td>NaN</td>
+<td>NaN</td>
+<td>NaN</td>
+<td>NaN</td>
+<td>NaN</td>
+<td>1998871.0</td>
+<td>NaN</td>
+<td>NaN</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=6aacdc27-6ee7-4443-a8bf-2b3e045737e3">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_percent-change" data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_percent-change" data-mime-type="text/markdown">
 <p>We can use the <code>pct_change()</code> method on this result to see which holiday travel periods saw the biggest change in travel:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=107e005d-8c15-4a26-a13c-b99346783ae6">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[33]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [35]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">pivot_table</span><span class="p">(</span>
-    <span class="n">index</span><span class="o">=</span><span class="s1">&#39;year&#39;</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="s1">&#39;holiday&#39;</span><span class="p">,</span> 
-    <span class="n">values</span><span class="o">=</span><span class="s1">&#39;travelers&#39;</span><span class="p">,</span> <span class="n">aggfunc</span><span class="o">=</span><span class="s1">&#39;sum&#39;</span>
-<span class="p">)</span><span class="o">.</span><span class="n">pct_change</span><span class="p">()</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">pivot_table</span><span class="p">(</span>
+    <span class="n">index</span><span class="o">=</span><span class="s1">'year'</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="s1">'holiday'</span><span class="p">,</span> 
+    <span class="n">values</span><span class="o">=</span><span class="s1">'travelers'</span><span class="p">,</span> <span class="n">aggfunc</span><span class="o">=</span><span class="s1">'sum'</span>
+<span class="p">)</span><span class="o">.</span><span class="n">pct_change</span><span class="p">(</span><span class="n">fill_method</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[33]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[35]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -22871,158 +14423,142 @@ <h3 id="Pivot-tables">Pivot tables<a class="anchor-link" href="#Pivot-tables">&#
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th>holiday</th>
-      <th>Christmas Day</th>
-      <th>Christmas Eve</th>
-      <th>July 4th</th>
-      <th>Labor Day</th>
-      <th>Memorial Day</th>
-      <th>New Year's Day</th>
-      <th>New Year's Eve</th>
-      <th>Thanksgiving</th>
-    </tr>
-    <tr>
-      <th>year</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2019</th>
-      <td>NaN</td>
-      <td>NaN</td>
-      <td>NaN</td>
-      <td>NaN</td>
-      <td>NaN</td>
-      <td>NaN</td>
-      <td>NaN</td>
-      <td>NaN</td>
-    </tr>
-    <tr>
-      <th>2020</th>
-      <td>-0.654638</td>
-      <td>-0.531776</td>
-      <td>-0.715055</td>
-      <td>-0.639961</td>
-      <td>-0.884139</td>
-      <td>0.004224</td>
-      <td>-0.532176</td>
-      <td>-0.629903</td>
-    </tr>
-    <tr>
-      <th>2021</th>
-      <td>0.000000</td>
-      <td>0.000000</td>
-      <td>0.000000</td>
-      <td>0.000000</td>
-      <td>0.000000</td>
-      <td>-0.554856</td>
-      <td>0.000000</td>
-      <td>0.000000</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th>holiday</th>
+<th>Christmas Day</th>
+<th>Christmas Eve</th>
+<th>July 4th</th>
+<th>Labor Day</th>
+<th>Memorial Day</th>
+<th>New Year's Day</th>
+<th>New Year's Eve</th>
+<th>Thanksgiving</th>
+</tr>
+<tr>
+<th>year</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2019</th>
+<td>NaN</td>
+<td>NaN</td>
+<td>NaN</td>
+<td>NaN</td>
+<td>NaN</td>
+<td>NaN</td>
+<td>NaN</td>
+<td>NaN</td>
+</tr>
+<tr>
+<th>2020</th>
+<td>-0.654638</td>
+<td>-0.531776</td>
+<td>-0.715055</td>
+<td>-0.639961</td>
+<td>-0.884139</td>
+<td>0.004224</td>
+<td>-0.532176</td>
+<td>-0.629903</td>
+</tr>
+<tr>
+<th>2021</th>
+<td>NaN</td>
+<td>NaN</td>
+<td>NaN</td>
+<td>NaN</td>
+<td>NaN</td>
+<td>-0.554856</td>
+<td>NaN</td>
+<td>NaN</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=6e9ee5fb-ec4c-487f-8215-51fc1fe93373">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_set-option" data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_set-option" data-mime-type="text/markdown">
 <p>Let's make one last pivot table with column and row subtotals, along with some formatting improvements. First, we set a display option for all floats:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=9d2a221e-4a76-4f1b-a159-e9f9d8f09719">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[34]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [36]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pd</span><span class="o">.</span><span class="n">set_option</span><span class="p">(</span><span class="s1">&#39;display.float_format&#39;</span><span class="p">,</span> <span class="s1">&#39;</span><span class="si">{:,.0f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">pd</span><span class="o">.</span><span class="n">set_option</span><span class="p">(</span><span class="s1">'display.float_format'</span><span class="p">,</span> <span class="s1">'</span><span class="si">{:,.0f}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div>
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=306104af-223c-4628-b6f9-793f77fa7ae8">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_numpy-where" data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_numpy-where" data-mime-type="text/markdown">
 <p>Next, we group together Christmas Eve and Christmas Day, likewise for New Year's Eve and New Year's Day, and create the pivot table:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=cdae2ea6-45ef-4fb6-8bd7-bd5940883926">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[35]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [37]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
 
 <span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
     <span class="n">holiday</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span>
-        <span class="n">x</span><span class="o">.</span><span class="n">holiday</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">contains</span><span class="p">(</span><span class="s1">&#39;Christmas|New Year&#39;</span><span class="p">,</span> <span class="n">regex</span><span class="o">=</span><span class="kc">True</span><span class="p">),</span> 
-        <span class="n">x</span><span class="o">.</span><span class="n">holiday</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;Day|Eve&#39;</span><span class="p">,</span> <span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">regex</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">strip</span><span class="p">(),</span> 
+        <span class="n">x</span><span class="o">.</span><span class="n">holiday</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">contains</span><span class="p">(</span><span class="s1">'Christmas|New Year'</span><span class="p">,</span> <span class="n">regex</span><span class="o">=</span><span class="kc">True</span><span class="p">),</span> 
+        <span class="n">x</span><span class="o">.</span><span class="n">holiday</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">'Day|Eve'</span><span class="p">,</span> <span class="s1">''</span><span class="p">,</span> <span class="n">regex</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">strip</span><span class="p">(),</span> 
         <span class="n">x</span><span class="o">.</span><span class="n">holiday</span>
     <span class="p">)</span>
 <span class="p">)</span><span class="o">.</span><span class="n">pivot_table</span><span class="p">(</span>
-    <span class="n">index</span><span class="o">=</span><span class="s1">&#39;year&#39;</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="s1">&#39;holiday&#39;</span><span class="p">,</span> 
-    <span class="n">values</span><span class="o">=</span><span class="s1">&#39;travelers&#39;</span><span class="p">,</span> <span class="n">aggfunc</span><span class="o">=</span><span class="s1">&#39;sum&#39;</span><span class="p">,</span> 
-    <span class="n">margins</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">margins_name</span><span class="o">=</span><span class="s1">&#39;Total&#39;</span>
+    <span class="n">index</span><span class="o">=</span><span class="s1">'year'</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="s1">'holiday'</span><span class="p">,</span> 
+    <span class="n">values</span><span class="o">=</span><span class="s1">'travelers'</span><span class="p">,</span> <span class="n">aggfunc</span><span class="o">=</span><span class="s1">'sum'</span><span class="p">,</span> 
+    <span class="n">margins</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">margins_name</span><span class="o">=</span><span class="s1">'Total'</span>
 <span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[35]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[37]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -23036,181 +14572,165 @@ <h3 id="Pivot-tables">Pivot tables<a class="anchor-link" href="#Pivot-tables">&#
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th>holiday</th>
-      <th>Christmas</th>
-      <th>July 4th</th>
-      <th>Labor Day</th>
-      <th>Memorial Day</th>
-      <th>New Year's</th>
-      <th>Thanksgiving</th>
-      <th>Total</th>
-    </tr>
-    <tr>
-      <th>year</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2019</th>
-      <td>11,524,228</td>
-      <td>9,414,228</td>
-      <td>8,314,811</td>
-      <td>9,720,691</td>
-      <td>11,006,965</td>
-      <td>9,090,478</td>
-      <td>59,071,401</td>
-    </tr>
-    <tr>
-      <th>2020</th>
-      <td>4,775,052</td>
-      <td>2,682,541</td>
-      <td>2,993,653</td>
-      <td>1,126,253</td>
-      <td>7,547,837</td>
-      <td>3,364,358</td>
-      <td>22,489,694</td>
-    </tr>
-    <tr>
-      <th>2021</th>
-      <td>NaN</td>
-      <td>NaN</td>
-      <td>NaN</td>
-      <td>NaN</td>
-      <td>1,998,871</td>
-      <td>NaN</td>
-      <td>1,998,871</td>
-    </tr>
-    <tr>
-      <th>Total</th>
-      <td>16,299,280</td>
-      <td>12,096,769</td>
-      <td>11,308,464</td>
-      <td>10,846,944</td>
-      <td>20,553,673</td>
-      <td>12,454,836</td>
-      <td>83,559,966</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th>holiday</th>
+<th>Christmas</th>
+<th>July 4th</th>
+<th>Labor Day</th>
+<th>Memorial Day</th>
+<th>New Year's</th>
+<th>Thanksgiving</th>
+<th>Total</th>
+</tr>
+<tr>
+<th>year</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2019</th>
+<td>11,524,228</td>
+<td>9,414,228</td>
+<td>8,314,811</td>
+<td>9,720,691</td>
+<td>11,006,965</td>
+<td>9,090,478</td>
+<td>59,071,401</td>
+</tr>
+<tr>
+<th>2020</th>
+<td>4,775,052</td>
+<td>2,682,541</td>
+<td>2,993,653</td>
+<td>1,126,253</td>
+<td>7,547,837</td>
+<td>3,364,358</td>
+<td>22,489,694</td>
+</tr>
+<tr>
+<th>2021</th>
+<td>NaN</td>
+<td>NaN</td>
+<td>NaN</td>
+<td>NaN</td>
+<td>1,998,871</td>
+<td>NaN</td>
+<td>1,998,871</td>
+</tr>
+<tr>
+<th>Total</th>
+<td>16,299,280</td>
+<td>12,096,769</td>
+<td>11,308,464</td>
+<td>10,846,944</td>
+<td>20,553,673</td>
+<td>12,454,836</td>
+<td>83,559,966</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=ce5d1263-e50e-4760-9a9f-de5d476e110e">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_reset-option" data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_reset-option" data-mime-type="text/markdown">
 <p>Before moving on, let's reset the display option:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=17df79b9-6634-4613-8205-047abe035098">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[36]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [38]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pd</span><span class="o">.</span><span class="n">reset_option</span><span class="p">(</span><span class="s1">&#39;display.float_format&#39;</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">pd</span><span class="o">.</span><span class="n">reset_option</span><span class="p">(</span><span class="s1">'display.float_format'</span><span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div>
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=8e8e9d4d-2b57-4a8b-9a97-611e521f2c38">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><em>Tip: Read more about options in the documentation <a href="https://pandas.pydata.org/pandas-docs/stable/user_guide/options.html">here</a>.</em></p>
-
 </div>
 </div>
 </div>
-</div></div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=0a368707-1d0c-42af-97c9-83482de776b4">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_exercise-2-3" data-mime-type="text/markdown">
-<h3 id="Exercise-2.3">Exercise 2.3<a class="anchor-link" href="#Exercise-2.3">&#182;</a></h3><h5 id="Using-the-meteorite-data-from-the-Meteorite_Landings.csv-file,-create-a-pivot-table-that-shows-both-the-number-of-meteorites-and-the-95th-percentile-of-meteorite-mass-for-those-that-were-found-versus-observed-falling-per-year-from-2005-through-2009-(inclusive).-Hint:-Be-sure-to-convert-the-year-column-to-a-number-as-we-did-in-the-previous-exercise.">Using the meteorite data from the <code>Meteorite_Landings.csv</code> file, create a pivot table that shows both the number of meteorites and the 95th percentile of meteorite mass for those that were found versus observed falling per year from 2005 through 2009 (inclusive). Hint: Be sure to convert the <code>year</code> column to a number as we did in the previous exercise.<a class="anchor-link" href="#Using-the-meteorite-data-from-the-Meteorite_Landings.csv-file,-create-a-pivot-table-that-shows-both-the-number-of-meteorites-and-the-95th-percentile-of-meteorite-mass-for-those-that-were-found-versus-observed-falling-per-year-from-2005-through-2009-(inclusive).-Hint:-Be-sure-to-convert-the-year-column-to-a-number-as-we-did-in-the-previous-exercise.">&#182;</a></h5>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_exercise-2-3" data-mime-type="text/markdown">
+<h3 id="Exercise-2.3">Exercise 2.3<a class="anchor-link" href="#Exercise-2.3">¶</a></h3><h5 id="Using-the-meteorite-data-from-the-Meteorite_Landings.csv-file,-create-a-pivot-table-that-shows-both-the-number-of-meteorites-and-the-95th-percentile-of-meteorite-mass-for-those-that-were-found-versus-observed-falling-per-year-from-2005-through-2009-(inclusive).-Hint:-Be-sure-to-convert-the-year-column-to-a-number-as-we-did-in-the-previous-exercise.">Using the meteorite data from the <code>Meteorite_Landings.csv</code> file, create a pivot table that shows both the number of meteorites and the 95th percentile of meteorite mass for those that were found versus observed falling per year from 2005 through 2009 (inclusive). Hint: Be sure to convert the <code>year</code> column to a number as we did in the previous exercise.<a class="anchor-link" href="#Using-the-meteorite-data-from-the-Meteorite_Landings.csv-file,-create-a-pivot-table-that-shows-both-the-number-of-meteorites-and-the-95th-percentile-of-meteorite-mass-for-those-that-were-found-versus-observed-falling-per-year-from-2005-through-2009-(inclusive).-Hint:-Be-sure-to-convert-the-year-column-to-a-number-as-we-did-in-the-previous-exercise.">¶</a></h5>
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=b9dfbc99-1441-4b6c-bdb8-e61645c67872">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_solution-2-3" data-mime-type="text/markdown">
-<h3 id="Solution">Solution<a class="anchor-link" href="#Solution">&#182;</a></h3>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_solution-2-3" data-mime-type="text/markdown">
+<h3 id="Solution">Solution<a class="anchor-link" href="#Solution">¶</a></h3>
 </div>
 </div>
 </div>
-</div><div class="fragment" ><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=2a91f292-c404-4df5-8eac-4bd02cc7ac8e">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[37]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [39]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
 
-<span class="n">meteorites</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;../data/Meteorite_Landings.csv&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
+<span class="n">meteorites</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">'../data/Meteorite_Landings.csv'</span><span class="p">)</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
     <span class="n">year</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">pd</span><span class="o">.</span><span class="n">to_numeric</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">year</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">slice</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">10</span><span class="p">))</span>
 <span class="p">)</span>
-<span class="n">meteorites</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">&#39;year.between(2005, 2009)&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">pivot_table</span><span class="p">(</span>
-    <span class="n">index</span><span class="o">=</span><span class="s1">&#39;year&#39;</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="s1">&#39;fall&#39;</span><span class="p">,</span> <span class="n">values</span><span class="o">=</span><span class="s1">&#39;mass (g)&#39;</span><span class="p">,</span> 
-    <span class="n">aggfunc</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;count&#39;</span><span class="p">,</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">quantile</span><span class="p">(</span><span class="mf">0.95</span><span class="p">)]</span>
-<span class="p">)</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;&lt;lambda&gt;&#39;</span><span class="p">:</span> <span class="s1">&#39;95th percentile&#39;</span><span class="p">})</span>
+<span class="n">meteorites</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">'year.between(2005, 2009)'</span><span class="p">)</span><span class="o">.</span><span class="n">pivot_table</span><span class="p">(</span>
+    <span class="n">index</span><span class="o">=</span><span class="s1">'year'</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="s1">'fall'</span><span class="p">,</span> <span class="n">values</span><span class="o">=</span><span class="s1">'mass (g)'</span><span class="p">,</span> 
+    <span class="n">aggfunc</span><span class="o">=</span><span class="p">[</span><span class="s1">'count'</span><span class="p">,</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">quantile</span><span class="p">(</span><span class="mf">0.95</span><span class="p">)]</span>
+<span class="p">)</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="p">{</span><span class="s1">'&lt;lambda&gt;'</span><span class="p">:</span> <span class="s1">'95th percentile'</span><span class="p">})</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
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-
-
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-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[39]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -23228,124 +14748,111 @@ <h3 id="Solution">Solution<a class="anchor-link" href="#Solution">&#182;</a></h3
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr>
-      <th></th>
-      <th colspan="2" halign="left">count</th>
-      <th colspan="2" halign="left">95th percentile</th>
-    </tr>
-    <tr>
-      <th>fall</th>
-      <th>Fell</th>
-      <th>Found</th>
-      <th>Fell</th>
-      <th>Found</th>
-    </tr>
-    <tr>
-      <th>year</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2005.0</th>
-      <td>NaN</td>
-      <td>874.0</td>
-      <td>NaN</td>
-      <td>4500.00</td>
-    </tr>
-    <tr>
-      <th>2006.0</th>
-      <td>5.0</td>
-      <td>2450.0</td>
-      <td>25008.0</td>
-      <td>1600.50</td>
-    </tr>
-    <tr>
-      <th>2007.0</th>
-      <td>8.0</td>
-      <td>1181.0</td>
-      <td>89675.0</td>
-      <td>1126.90</td>
-    </tr>
-    <tr>
-      <th>2008.0</th>
-      <td>9.0</td>
-      <td>948.0</td>
-      <td>106000.0</td>
-      <td>2274.80</td>
-    </tr>
-    <tr>
-      <th>2009.0</th>
-      <td>5.0</td>
-      <td>1492.0</td>
-      <td>8333.4</td>
-      <td>1397.25</td>
-    </tr>
-  </tbody>
+<thead>
+<tr>
+<th></th>
+<th colspan="2" halign="left">count</th>
+<th colspan="2" halign="left">95th percentile</th>
+</tr>
+<tr>
+<th>fall</th>
+<th>Fell</th>
+<th>Found</th>
+<th>Fell</th>
+<th>Found</th>
+</tr>
+<tr>
+<th>year</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2005.0</th>
+<td>NaN</td>
+<td>874.0</td>
+<td>NaN</td>
+<td>4500.00</td>
+</tr>
+<tr>
+<th>2006.0</th>
+<td>5.0</td>
+<td>2450.0</td>
+<td>25008.0</td>
+<td>1600.50</td>
+</tr>
+<tr>
+<th>2007.0</th>
+<td>8.0</td>
+<td>1181.0</td>
+<td>89675.0</td>
+<td>1126.90</td>
+</tr>
+<tr>
+<th>2008.0</th>
+<td>9.0</td>
+<td>948.0</td>
+<td>106000.0</td>
+<td>2274.80</td>
+</tr>
+<tr>
+<th>2009.0</th>
+<td>5.0</td>
+<td>1492.0</td>
+<td>8333.4</td>
+<td>1397.25</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f6ba37d0-a219-42f7-97d4-6275d663c524">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_crosstabs" data-mime-type="text/markdown">
-<h3 id="Crosstabs">Crosstabs<a class="anchor-link" href="#Crosstabs">&#182;</a></h3><p>The <code>pd.crosstab()</code> function provides an easy way to create a frequency table. Here, we count the number of low-, medium-, and high-volume travel days per year, using the <code>pd.cut()</code> function to create three travel volume bins of equal width:</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_crosstabs" data-mime-type="text/markdown">
+<h3 id="Crosstabs">Crosstabs<a class="anchor-link" href="#Crosstabs">¶</a></h3><p>The <code>pd.crosstab()</code> function provides an easy way to create a frequency table. Here, we count the number of low-, medium-, and high-volume travel days per year, using the <code>pd.cut()</code> function to create three travel volume bins of equal width:</p>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=177e3825-4b0f-45f1-a118-9f76bf0a06cb">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[38]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [40]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pd</span><span class="o">.</span><span class="n">crosstab</span><span class="p">(</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">pd</span><span class="o">.</span><span class="n">crosstab</span><span class="p">(</span>
     <span class="n">index</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">cut</span><span class="p">(</span>
         <span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">travelers</span><span class="p">,</span> 
-        <span class="n">bins</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">labels</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;low&#39;</span><span class="p">,</span> <span class="s1">&#39;medium&#39;</span><span class="p">,</span> <span class="s1">&#39;high&#39;</span><span class="p">]</span>
+        <span class="n">bins</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">labels</span><span class="o">=</span><span class="p">[</span><span class="s1">'low'</span><span class="p">,</span> <span class="s1">'medium'</span><span class="p">,</span> <span class="s1">'high'</span><span class="p">]</span>
     <span class="p">),</span>
     <span class="n">columns</span><span class="o">=</span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">year</span><span class="p">,</span>
-    <span class="n">rownames</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;travel_volume&#39;</span><span class="p">]</span>
+    <span class="n">rownames</span><span class="o">=</span><span class="p">[</span><span class="s1">'travel_volume'</span><span class="p">]</span>
 <span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
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-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[38]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[40]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -23359,117 +14866,102 @@ <h3 id="Crosstabs">Crosstabs<a class="anchor-link" href="#Crosstabs">&#182;</a><
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th>year</th>
-      <th>2019</th>
-      <th>2020</th>
-      <th>2021</th>
-    </tr>
-    <tr>
-      <th>travel_volume</th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>low</th>
-      <td>0</td>
-      <td>277</td>
-      <td>54</td>
-    </tr>
-    <tr>
-      <th>medium</th>
-      <td>42</td>
-      <td>44</td>
-      <td>80</td>
-    </tr>
-    <tr>
-      <th>high</th>
-      <td>323</td>
-      <td>44</td>
-      <td>0</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th>year</th>
+<th>2019</th>
+<th>2020</th>
+<th>2021</th>
+</tr>
+<tr>
+<th>travel_volume</th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>low</th>
+<td>0</td>
+<td>277</td>
+<td>54</td>
+</tr>
+<tr>
+<th>medium</th>
+<td>42</td>
+<td>44</td>
+<td>80</td>
+</tr>
+<tr>
+<th>high</th>
+<td>323</td>
+<td>44</td>
+<td>0</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f8628adb-7101-48ff-8c61-ad785eaa8e7b">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><em>Tip: The <code>pd.cut()</code> function can also be used to specify custom bin ranges. For equal-sized bins based on quantiles, use the <code>pd.qcut()</code> function instead.</em></p>
-
 </div>
 </div>
 </div>
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=900cb77c-7003-4472-a4b4-f0381cf86a57">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Note that the <code>pd.crosstab()</code> function supports other aggregations provided you pass in the data to aggregate as <code>values</code> and specify the aggregation with <code>aggfunc</code>. You can also add subtotals and normalize the data. See the <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.crosstab.html">documentation</a> for more information.</p>
-
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=74d93b19-2cd3-4bbf-9a65-834216d04cb0">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_group-by-operations" data-mime-type="text/markdown">
-<h3 id="Group-by-operations">Group by operations<a class="anchor-link" href="#Group-by-operations">&#182;</a></h3><p>Rather than perform aggregations, like <code>mean()</code> or <code>describe()</code>, on the full dataset at once, we can perform these calculations per group by first calling <code>groupby()</code>:</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_group-by-operations" data-mime-type="text/markdown">
+<h3 id="Group-by-operations">Group by operations<a class="anchor-link" href="#Group-by-operations">¶</a></h3><p>Rather than perform aggregations, like <code>mean()</code> or <code>describe()</code>, on the full dataset at once, we can perform these calculations per group by first calling <code>groupby()</code>:</p>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=6ad5821d-09d2-438d-8abf-7caddc8235a6">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[39]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [41]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;year&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">describe</span><span class="p">(</span><span class="n">include</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">number</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">'year'</span><span class="p">)</span><span class="o">.</span><span class="n">describe</span><span class="p">(</span><span class="n">include</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">number</span><span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
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+</div>
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+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[41]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -23487,124 +14979,111 @@ <h3 id="Group-by-operations">Group by operations<a class="anchor-link" href="#Gr
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr>
-      <th></th>
-      <th colspan="8" halign="left">travelers</th>
-    </tr>
-    <tr>
-      <th></th>
-      <th>count</th>
-      <th>mean</th>
-      <th>std</th>
-      <th>min</th>
-      <th>25%</th>
-      <th>50%</th>
-      <th>75%</th>
-      <th>max</th>
-    </tr>
-    <tr>
-      <th>year</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2019</th>
-      <td>365.0</td>
-      <td>2.309482e+06</td>
-      <td>285061.490784</td>
-      <td>1534386.0</td>
-      <td>2091116.0</td>
-      <td>2358007.0</td>
-      <td>2538384.00</td>
-      <td>2882915.0</td>
-    </tr>
-    <tr>
-      <th>2020</th>
-      <td>365.0</td>
-      <td>8.818674e+05</td>
-      <td>639775.194297</td>
-      <td>87534.0</td>
-      <td>507129.0</td>
-      <td>718310.0</td>
-      <td>983745.00</td>
-      <td>2507588.0</td>
-    </tr>
-    <tr>
-      <th>2021</th>
-      <td>134.0</td>
-      <td>1.112632e+06</td>
-      <td>338040.673782</td>
-      <td>468933.0</td>
-      <td>807156.0</td>
-      <td>1117391.0</td>
-      <td>1409377.75</td>
-      <td>1743515.0</td>
-    </tr>
-  </tbody>
+<thead>
+<tr>
+<th></th>
+<th colspan="8" halign="left">travelers</th>
+</tr>
+<tr>
+<th></th>
+<th>count</th>
+<th>mean</th>
+<th>std</th>
+<th>min</th>
+<th>25%</th>
+<th>50%</th>
+<th>75%</th>
+<th>max</th>
+</tr>
+<tr>
+<th>year</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2019</th>
+<td>365.0</td>
+<td>2.309482e+06</td>
+<td>285061.490784</td>
+<td>1534386.0</td>
+<td>2091116.0</td>
+<td>2358007.0</td>
+<td>2538384.00</td>
+<td>2882915.0</td>
+</tr>
+<tr>
+<th>2020</th>
+<td>365.0</td>
+<td>8.818674e+05</td>
+<td>639775.194297</td>
+<td>87534.0</td>
+<td>507129.0</td>
+<td>718310.0</td>
+<td>983745.00</td>
+<td>2507588.0</td>
+</tr>
+<tr>
+<th>2021</th>
+<td>134.0</td>
+<td>1.112632e+06</td>
+<td>338040.673782</td>
+<td>468933.0</td>
+<td>807156.0</td>
+<td>1117391.0</td>
+<td>1409377.75</td>
+<td>1743515.0</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=4c20d991-2579-44f4-b66f-f953ed6b9b8b">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_rank" data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_rank" data-mime-type="text/markdown">
 <p>Groups can also be used to perform separate calculations per subset of the data. For example, we can find the highest-volume travel day per year using <code>rank()</code>:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=6487feec-cb63-4d88-a9a9-2804940d63cf">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[40]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [42]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
-    <span class="n">travel_volume_rank</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;year&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">travelers</span><span class="o">.</span><span class="n">rank</span><span class="p">(</span><span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
-<span class="p">)</span><span class="o">.</span><span class="n">sort_values</span><span class="p">([</span><span class="s1">&#39;travel_volume_rank&#39;</span><span class="p">,</span> <span class="s1">&#39;year&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
+    <span class="n">travel_volume_rank</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">'year'</span><span class="p">)</span><span class="o">.</span><span class="n">travelers</span><span class="o">.</span><span class="n">rank</span><span class="p">(</span><span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+<span class="p">)</span><span class="o">.</span><span class="n">sort_values</span><span class="p">([</span><span class="s1">'travel_volume_rank'</span><span class="p">,</span> <span class="s1">'year'</span><span class="p">])</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[40]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[42]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -23618,99 +15097,86 @@ <h3 id="Group-by-operations">Group by operations<a class="anchor-link" href="#Gr
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>date</th>
-      <th>year</th>
-      <th>travelers</th>
-      <th>holiday</th>
-      <th>travel_volume_rank</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>896</th>
-      <td>2019-11-29</td>
-      <td>2019</td>
-      <td>2882915.0</td>
-      <td>Thanksgiving</td>
-      <td>1.0</td>
-    </tr>
-    <tr>
-      <th>456</th>
-      <td>2020-02-12</td>
-      <td>2020</td>
-      <td>2507588.0</td>
-      <td>NaN</td>
-      <td>1.0</td>
-    </tr>
-    <tr>
-      <th>1</th>
-      <td>2021-05-13</td>
-      <td>2021</td>
-      <td>1743515.0</td>
-      <td>NaN</td>
-      <td>1.0</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>date</th>
+<th>year</th>
+<th>travelers</th>
+<th>holiday</th>
+<th>travel_volume_rank</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>896</th>
+<td>2019-11-29</td>
+<td>2019</td>
+<td>2882915.0</td>
+<td>Thanksgiving</td>
+<td>1.0</td>
+</tr>
+<tr>
+<th>456</th>
+<td>2020-02-12</td>
+<td>2020</td>
+<td>2507588.0</td>
+<td>NaN</td>
+<td>1.0</td>
+</tr>
+<tr>
+<th>1</th>
+<td>2021-05-13</td>
+<td>2021</td>
+<td>1743515.0</td>
+<td>NaN</td>
+<td>1.0</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=82c92d64-7f14-4741-a0b2-f32b8aedc233">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_agg-method" data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_agg-method" data-mime-type="text/markdown">
 <p>The previous two examples called a single method on the grouped data, but using the <code>agg()</code> method we can specify any number of them:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=b04bdf3b-8f96-4dd4-a158-3dfa8097f04c">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[41]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [43]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
     <span class="n">holiday_travelers</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="o">~</span><span class="n">x</span><span class="o">.</span><span class="n">holiday</span><span class="o">.</span><span class="n">isna</span><span class="p">(),</span> <span class="n">x</span><span class="o">.</span><span class="n">travelers</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">),</span>
     <span class="n">non_holiday_travelers</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">holiday</span><span class="o">.</span><span class="n">isna</span><span class="p">(),</span> <span class="n">x</span><span class="o">.</span><span class="n">travelers</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">),</span>
     <span class="n">year</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">pd</span><span class="o">.</span><span class="n">to_numeric</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">year</span><span class="p">)</span>
-<span class="p">)</span><span class="o">.</span><span class="n">select_dtypes</span><span class="p">(</span><span class="n">include</span><span class="o">=</span><span class="s1">&#39;number&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;year&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">agg</span><span class="p">([</span><span class="s1">&#39;mean&#39;</span><span class="p">,</span> <span class="s1">&#39;std&#39;</span><span class="p">])</span>
+<span class="p">)</span><span class="o">.</span><span class="n">select_dtypes</span><span class="p">(</span><span class="n">include</span><span class="o">=</span><span class="s1">'number'</span><span class="p">)</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">'year'</span><span class="p">)</span><span class="o">.</span><span class="n">agg</span><span class="p">([</span><span class="s1">'mean'</span><span class="p">,</span> <span class="s1">'std'</span><span class="p">])</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[41]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[43]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -23728,132 +15194,118 @@ <h3 id="Group-by-operations">Group by operations<a class="anchor-link" href="#Gr
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr>
-      <th></th>
-      <th colspan="2" halign="left">travelers</th>
-      <th colspan="2" halign="left">holiday_travelers</th>
-      <th colspan="2" halign="left">non_holiday_travelers</th>
-    </tr>
-    <tr>
-      <th></th>
-      <th>mean</th>
-      <th>std</th>
-      <th>mean</th>
-      <th>std</th>
-      <th>mean</th>
-      <th>std</th>
-    </tr>
-    <tr>
-      <th>year</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2019</th>
-      <td>2.309482e+06</td>
-      <td>285061.490784</td>
-      <td>2.271977e+06</td>
-      <td>303021.675751</td>
-      <td>2.312359e+06</td>
-      <td>283906.226598</td>
-    </tr>
-    <tr>
-      <th>2020</th>
-      <td>8.818674e+05</td>
-      <td>639775.194297</td>
-      <td>8.649882e+05</td>
-      <td>489938.240989</td>
-      <td>8.831619e+05</td>
-      <td>650399.772930</td>
-    </tr>
-    <tr>
-      <th>2021</th>
-      <td>1.112632e+06</td>
-      <td>338040.673782</td>
-      <td>9.994355e+05</td>
-      <td>273573.249680</td>
-      <td>1.114347e+06</td>
-      <td>339479.298658</td>
-    </tr>
-  </tbody>
+<thead>
+<tr>
+<th></th>
+<th colspan="2" halign="left">travelers</th>
+<th colspan="2" halign="left">holiday_travelers</th>
+<th colspan="2" halign="left">non_holiday_travelers</th>
+</tr>
+<tr>
+<th></th>
+<th>mean</th>
+<th>std</th>
+<th>mean</th>
+<th>std</th>
+<th>mean</th>
+<th>std</th>
+</tr>
+<tr>
+<th>year</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2019</th>
+<td>2.309482e+06</td>
+<td>285061.490784</td>
+<td>2.271977e+06</td>
+<td>303021.675751</td>
+<td>2.312359e+06</td>
+<td>283906.226598</td>
+</tr>
+<tr>
+<th>2020</th>
+<td>8.818674e+05</td>
+<td>639775.194297</td>
+<td>8.649882e+05</td>
+<td>489938.240989</td>
+<td>8.831619e+05</td>
+<td>650399.772930</td>
+</tr>
+<tr>
+<th>2021</th>
+<td>1.112632e+06</td>
+<td>338040.673782</td>
+<td>9.994355e+05</td>
+<td>273573.249680</td>
+<td>1.114347e+06</td>
+<td>339479.298658</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=9e203a6e-b329-44bc-995b-408e1d4e1574">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><em>Tip: The <code>select_dtypes()</code> method makes it possible to select columns by their data type. We can specify the data types to <code>exclude</code> and/or <code>include</code>.</em></p>
-
 </div>
 </div>
 </div>
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f9b57329-d84d-4350-8bef-ff6769c78cd7">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_agg-with-dict" data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_agg-with-dict" data-mime-type="text/markdown">
 <p>In addition, we can specify which aggregations to perform on each column:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=07871965-12c3-4f45-855c-cd22c5b57d23">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[42]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [44]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
     <span class="n">holiday_travelers</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="o">~</span><span class="n">x</span><span class="o">.</span><span class="n">holiday</span><span class="o">.</span><span class="n">isna</span><span class="p">(),</span> <span class="n">x</span><span class="o">.</span><span class="n">travelers</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">),</span>
     <span class="n">non_holiday_travelers</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">holiday</span><span class="o">.</span><span class="n">isna</span><span class="p">(),</span> <span class="n">x</span><span class="o">.</span><span class="n">travelers</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)</span>
-<span class="p">)</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;year&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">agg</span><span class="p">({</span>
-    <span class="s1">&#39;holiday_travelers&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;mean&#39;</span><span class="p">,</span> <span class="s1">&#39;std&#39;</span><span class="p">],</span> 
-    <span class="s1">&#39;holiday&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;nunique&#39;</span><span class="p">,</span> <span class="s1">&#39;count&#39;</span><span class="p">]</span>
+<span class="p">)</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">'year'</span><span class="p">)</span><span class="o">.</span><span class="n">agg</span><span class="p">({</span>
+    <span class="s1">'holiday_travelers'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'mean'</span><span class="p">,</span> <span class="s1">'std'</span><span class="p">],</span> 
+    <span class="s1">'holiday'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'nunique'</span><span class="p">,</span> <span class="s1">'count'</span><span class="p">]</span>
 <span class="p">})</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
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-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[42]:</div>
-
-
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-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[44]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -23871,67 +15323,63 @@ <h3 id="Group-by-operations">Group by operations<a class="anchor-link" href="#Gr
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr>
-      <th></th>
-      <th colspan="2" halign="left">holiday_travelers</th>
-      <th colspan="2" halign="left">holiday</th>
-    </tr>
-    <tr>
-      <th></th>
-      <th>mean</th>
-      <th>std</th>
-      <th>nunique</th>
-      <th>count</th>
-    </tr>
-    <tr>
-      <th>year</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2019</th>
-      <td>2.271977e+06</td>
-      <td>303021.675751</td>
-      <td>8</td>
-      <td>26</td>
-    </tr>
-    <tr>
-      <th>2020</th>
-      <td>8.649882e+05</td>
-      <td>489938.240989</td>
-      <td>8</td>
-      <td>26</td>
-    </tr>
-    <tr>
-      <th>2021</th>
-      <td>9.994355e+05</td>
-      <td>273573.249680</td>
-      <td>1</td>
-      <td>2</td>
-    </tr>
-  </tbody>
+<thead>
+<tr>
+<th></th>
+<th colspan="2" halign="left">holiday_travelers</th>
+<th colspan="2" halign="left">holiday</th>
+</tr>
+<tr>
+<th></th>
+<th>mean</th>
+<th>std</th>
+<th>nunique</th>
+<th>count</th>
+</tr>
+<tr>
+<th>year</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2019</th>
+<td>2.271977e+06</td>
+<td>303021.675751</td>
+<td>8</td>
+<td>26</td>
+</tr>
+<tr>
+<th>2020</th>
+<td>8.649882e+05</td>
+<td>489938.240989</td>
+<td>8</td>
+<td>26</td>
+</tr>
+<tr>
+<th>2021</th>
+<td>9.994355e+05</td>
+<td>273573.249680</td>
+<td>1</td>
+<td>2</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=af031c62-b9c0-48b6-b655-2885a54ead43">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>We are only scratching the surface; some additional functionalities to be aware of include the following:</p>
 <ul>
 <li>We can group by multiple columns – this creates a hierarchical index.</li>
@@ -23939,78 +15387,68 @@ <h3 id="Group-by-operations">Group by operations<a class="anchor-link" href="#Gr
 <li>We can group on content in the index using the <code>level</code> or <code>name</code> parameters e.g., <code>groupby(level=0)</code> or <code>groupby(name='year')</code>.</li>
 <li>We can group by date ranges if we use a <code>pd.Grouper()</code> object.</li>
 </ul>
-
 </div>
 </div>
 </div>
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=654f2293-838e-4881-bcf1-eb25e782bc24">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Be sure to check out the <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.groupby.html">documentation</a> for more details.</p>
-
 </div>
 </div>
 </div>
-</div></div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=5cfe5493-56b3-4ff0-bbda-bc198dd40264">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_exercise-2-4" data-mime-type="text/markdown">
-<h3 id="Exercise-2.4">Exercise 2.4<a class="anchor-link" href="#Exercise-2.4">&#182;</a></h3><h5 id="Using-the-meteorite-data-from-the-Meteorite_Landings.csv-file,-compare-summary-statistics-of-the-mass-column-for-the-meteorites-that-were-found-versus-observed-falling.">Using the meteorite data from the <code>Meteorite_Landings.csv</code> file, compare summary statistics of the mass column for the meteorites that were found versus observed falling.<a class="anchor-link" href="#Using-the-meteorite-data-from-the-Meteorite_Landings.csv-file,-compare-summary-statistics-of-the-mass-column-for-the-meteorites-that-were-found-versus-observed-falling.">&#182;</a></h5>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_exercise-2-4" data-mime-type="text/markdown">
+<h3 id="Exercise-2.4">Exercise 2.4<a class="anchor-link" href="#Exercise-2.4">¶</a></h3><h5 id="Using-the-meteorite-data-from-the-Meteorite_Landings.csv-file,-compare-summary-statistics-of-the-mass-column-for-the-meteorites-that-were-found-versus-observed-falling.">Using the meteorite data from the <code>Meteorite_Landings.csv</code> file, compare summary statistics of the mass column for the meteorites that were found versus observed falling.<a class="anchor-link" href="#Using-the-meteorite-data-from-the-Meteorite_Landings.csv-file,-compare-summary-statistics-of-the-mass-column-for-the-meteorites-that-were-found-versus-observed-falling.">¶</a></h5>
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=2c849ba3-739c-4ee1-84b2-44fd5244001a">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_solution-2-4" data-mime-type="text/markdown">
-<h3 id="Solution">Solution<a class="anchor-link" href="#Solution">&#182;</a></h3>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_solution-2-4" data-mime-type="text/markdown">
+<h3 id="Solution">Solution<a class="anchor-link" href="#Solution">¶</a></h3>
 </div>
 </div>
 </div>
-</div><div class="fragment" ><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=e7b7376d-8589-43ca-b16e-ee58a0cc121e">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[43]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [45]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
 
-<span class="n">meteorites</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;../data/Meteorite_Landings.csv&#39;</span><span class="p">)</span>
-<span class="n">meteorites</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;fall&#39;</span><span class="p">)[</span><span class="s1">&#39;mass (g)&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
+<span class="n">meteorites</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">'../data/Meteorite_Landings.csv'</span><span class="p">)</span>
+<span class="n">meteorites</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">'fall'</span><span class="p">)[</span><span class="s1">'mass (g)'</span><span class="p">]</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
-<div class="jp-OutputArea jp-Cell-outputArea">
-<div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[43]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[45]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -24024,165 +15462,147 @@ <h3 id="Solution">Solution<a class="anchor-link" href="#Solution">&#182;</a></h3
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>count</th>
-      <th>mean</th>
-      <th>std</th>
-      <th>min</th>
-      <th>25%</th>
-      <th>50%</th>
-      <th>75%</th>
-      <th>max</th>
-    </tr>
-    <tr>
-      <th>fall</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>Fell</th>
-      <td>1075.0</td>
-      <td>47070.715023</td>
-      <td>717067.125826</td>
-      <td>0.1</td>
-      <td>686.00</td>
-      <td>2800.0</td>
-      <td>10450.0</td>
-      <td>23000000.0</td>
-    </tr>
-    <tr>
-      <th>Found</th>
-      <td>44510.0</td>
-      <td>12461.922983</td>
-      <td>571105.752311</td>
-      <td>0.0</td>
-      <td>6.94</td>
-      <td>30.5</td>
-      <td>178.0</td>
-      <td>60000000.0</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>count</th>
+<th>mean</th>
+<th>std</th>
+<th>min</th>
+<th>25%</th>
+<th>50%</th>
+<th>75%</th>
+<th>max</th>
+</tr>
+<tr>
+<th>fall</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>Fell</th>
+<td>1075.0</td>
+<td>47070.715023</td>
+<td>717067.125826</td>
+<td>0.1</td>
+<td>686.00</td>
+<td>2800.0</td>
+<td>10450.0</td>
+<td>23000000.0</td>
+</tr>
+<tr>
+<th>Found</th>
+<td>44510.0</td>
+<td>12461.922983</td>
+<td>571105.752311</td>
+<td>0.0</td>
+<td>6.94</td>
+<td>30.5</td>
+<td>178.0</td>
+<td>60000000.0</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=ebae6837-e2fe-4cbf-8f0d-68b25a45036a">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">&#182;</a></h2><ol>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">¶</a></h2><ol>
 <li>Data cleaning</li>
 <li>Working with the index</li>
 <li>Reshaping data</li>
 <li>Aggregations and grouping</li>
 <li><strong>Time series</strong></li>
 </ol>
-
 </div>
 </div>
 </div>
-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=6dc6cb90-17db-41f8-a67d-05d5128186be">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_time-series" data-mime-type="text/markdown">
-<h2 id="Time-series">Time series<a class="anchor-link" href="#Time-series">&#182;</a></h2><p>When working with time series data, pandas provides us with additional functionality to not just compare the observations in our dataset, but to use their relationship in time to analyze the data. In this section, we will see a few such operations for selecting date/time ranges, calculating changes over time, performing window calculations, and resampling the data to different date/time intervals.</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_time-series" data-mime-type="text/markdown">
+<h2 id="Time-series">Time series<a class="anchor-link" href="#Time-series">¶</a></h2><p>When working with time series data, pandas provides us with additional functionality to not just compare the observations in our dataset, but to use their relationship in time to analyze the data. In this section, we will see a few such operations for selecting date/time ranges, calculating changes over time, performing window calculations, and resampling the data to different date/time intervals.</p>
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=8a469a96-9ed3-4256-9fb8-8b7f1871ed63">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_selecting-based-on-date-and-time" data-mime-type="text/markdown">
-<h3 id="Selecting-based-on-date-and-time">Selecting based on date and time<a class="anchor-link" href="#Selecting-based-on-date-and-time">&#182;</a></h3><p>Let's switch back to the <code>taxis</code> dataset, which has timestamps of pickups and dropoffs. First, we will set the <code>dropoff</code> column as the index and sort the data:</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_selecting-based-on-date-and-time" data-mime-type="text/markdown">
+<h3 id="Selecting-based-on-date-and-time">Selecting based on date and time<a class="anchor-link" href="#Selecting-based-on-date-and-time">¶</a></h3><p>Let's switch back to the <code>taxis</code> dataset, which has timestamps of pickups and dropoffs. First, we will set the <code>dropoff</code> column as the index and sort the data:</p>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=faf650aa-1da5-4e4f-ac5f-1a564da22aa1">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[44]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [46]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">taxis</span> <span class="o">=</span> <span class="n">taxis</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">&#39;dropoff&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">sort_index</span><span class="p">()</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">taxis</span> <span class="o">=</span> <span class="n">taxis</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">'dropoff'</span><span class="p">)</span><span class="o">.</span><span class="n">sort_index</span><span class="p">()</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div>
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=0a424c09-7978-4946-8599-03c5402628e0">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>We saw earlier that we can slice on the datetimes:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=9ffb09d0-876c-40bb-aa85-9980d32c8384">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[45]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [47]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="p">[</span><span class="s1">&#39;2019-10-24 12&#39;</span><span class="p">:</span><span class="s1">&#39;2019-10-24 13&#39;</span><span class="p">]</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="p">[</span><span class="s1">'2019-10-24 12'</span><span class="p">:</span><span class="s1">'2019-10-24 13'</span><span class="p">]</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
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-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[45]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[47]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -24196,143 +15616,130 @@ <h3 id="Selecting-based-on-date-and-time">Selecting based on date and time<a cla
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>pickup</th>
-      <th>passenger_count</th>
-      <th>trip_distance</th>
-      <th>payment_type</th>
-      <th>fare_amount</th>
-      <th>extra</th>
-      <th>mta_tax</th>
-      <th>tip_amount</th>
-      <th>tolls_amount</th>
-      <th>improvement_surcharge</th>
-      <th>total_amount</th>
-      <th>congestion_surcharge</th>
-      <th>elapsed_time</th>
-      <th>cost_before_tip</th>
-      <th>tip_pct</th>
-      <th>fees</th>
-      <th>avg_speed</th>
-    </tr>
-    <tr>
-      <th>dropoff</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2019-10-24 12:30:08</th>
-      <td>2019-10-23 13:25:42</td>
-      <td>4</td>
-      <td>0.76</td>
-      <td>2</td>
-      <td>5.0</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.00</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>9.30</td>
-      <td>2.5</td>
-      <td>0 days 23:04:26</td>
-      <td>9.3</td>
-      <td>0.0</td>
-      <td>4.3</td>
-      <td>0.032938</td>
-    </tr>
-    <tr>
-      <th>2019-10-24 12:42:01</th>
-      <td>2019-10-23 13:34:03</td>
-      <td>2</td>
-      <td>1.58</td>
-      <td>1</td>
-      <td>7.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>2.36</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>14.16</td>
-      <td>2.5</td>
-      <td>0 days 23:07:58</td>
-      <td>11.8</td>
-      <td>0.2</td>
-      <td>4.3</td>
-      <td>0.068301</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>pickup</th>
+<th>passenger_count</th>
+<th>trip_distance</th>
+<th>payment_type</th>
+<th>fare_amount</th>
+<th>extra</th>
+<th>mta_tax</th>
+<th>tip_amount</th>
+<th>tolls_amount</th>
+<th>improvement_surcharge</th>
+<th>total_amount</th>
+<th>congestion_surcharge</th>
+<th>elapsed_time</th>
+<th>cost_before_tip</th>
+<th>tip_pct</th>
+<th>fees</th>
+<th>avg_speed</th>
+</tr>
+<tr>
+<th>dropoff</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2019-10-24 12:30:08</th>
+<td>2019-10-23 13:25:42</td>
+<td>4</td>
+<td>0.76</td>
+<td>2</td>
+<td>5.0</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.00</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>9.30</td>
+<td>2.5</td>
+<td>0 days 23:04:26</td>
+<td>9.3</td>
+<td>0.0</td>
+<td>4.3</td>
+<td>0.032938</td>
+</tr>
+<tr>
+<th>2019-10-24 12:42:01</th>
+<td>2019-10-23 13:34:03</td>
+<td>2</td>
+<td>1.58</td>
+<td>1</td>
+<td>7.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>2.36</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>14.16</td>
+<td>2.5</td>
+<td>0 days 23:07:58</td>
+<td>11.8</td>
+<td>0.2</td>
+<td>4.3</td>
+<td>0.068301</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=82511690-b84f-40a0-b3ab-2c8e90cb9c72">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>We can also represent this range with shorthand. Note that we must use <code>loc[]</code> here:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=18c9050c-52fd-47de-a628-5c03d07ea108">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[46]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [48]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">&#39;2019-10-24 12&#39;</span><span class="p">]</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">'2019-10-24 12'</span><span class="p">]</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
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 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[46]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[48]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -24346,337 +15753,141 @@ <h3 id="Selecting-based-on-date-and-time">Selecting based on date and time<a cla
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>pickup</th>
-      <th>passenger_count</th>
-      <th>trip_distance</th>
-      <th>payment_type</th>
-      <th>fare_amount</th>
-      <th>extra</th>
-      <th>mta_tax</th>
-      <th>tip_amount</th>
-      <th>tolls_amount</th>
-      <th>improvement_surcharge</th>
-      <th>total_amount</th>
-      <th>congestion_surcharge</th>
-      <th>elapsed_time</th>
-      <th>cost_before_tip</th>
-      <th>tip_pct</th>
-      <th>fees</th>
-      <th>avg_speed</th>
-    </tr>
-    <tr>
-      <th>dropoff</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2019-10-24 12:30:08</th>
-      <td>2019-10-23 13:25:42</td>
-      <td>4</td>
-      <td>0.76</td>
-      <td>2</td>
-      <td>5.0</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.00</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>9.30</td>
-      <td>2.5</td>
-      <td>0 days 23:04:26</td>
-      <td>9.3</td>
-      <td>0.0</td>
-      <td>4.3</td>
-      <td>0.032938</td>
-    </tr>
-    <tr>
-      <th>2019-10-24 12:42:01</th>
-      <td>2019-10-23 13:34:03</td>
-      <td>2</td>
-      <td>1.58</td>
-      <td>1</td>
-      <td>7.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>2.36</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>14.16</td>
-      <td>2.5</td>
-      <td>0 days 23:07:58</td>
-      <td>11.8</td>
-      <td>0.2</td>
-      <td>4.3</td>
-      <td>0.068301</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>pickup</th>
+<th>passenger_count</th>
+<th>trip_distance</th>
+<th>payment_type</th>
+<th>fare_amount</th>
+<th>extra</th>
+<th>mta_tax</th>
+<th>tip_amount</th>
+<th>tolls_amount</th>
+<th>improvement_surcharge</th>
+<th>total_amount</th>
+<th>congestion_surcharge</th>
+<th>elapsed_time</th>
+<th>cost_before_tip</th>
+<th>tip_pct</th>
+<th>fees</th>
+<th>avg_speed</th>
+</tr>
+<tr>
+<th>dropoff</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2019-10-24 12:30:08</th>
+<td>2019-10-23 13:25:42</td>
+<td>4</td>
+<td>0.76</td>
+<td>2</td>
+<td>5.0</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.00</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>9.30</td>
+<td>2.5</td>
+<td>0 days 23:04:26</td>
+<td>9.3</td>
+<td>0.0</td>
+<td>4.3</td>
+<td>0.032938</td>
+</tr>
+<tr>
+<th>2019-10-24 12:42:01</th>
+<td>2019-10-23 13:34:03</td>
+<td>2</td>
+<td>1.58</td>
+<td>1</td>
+<td>7.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>2.36</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>14.16</td>
+<td>2.5</td>
+<td>0 days 23:07:58</td>
+<td>11.8</td>
+<td>0.2</td>
+<td>4.3</td>
+<td>0.068301</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=112cc144-f809-48bd-87a1-3333fe1921a7">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>However, if we want to look at this time range across days, we need another strategy.</p>
-
 </div>
 </div>
 </div>
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=0550c385-2705-4b5a-9a5b-53284e0402db">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_between-time" data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_between-time" data-mime-type="text/markdown">
 <p>We can pull out the dropoffs that happened between a certain time range on <em>any</em> day with the <code>between_time()</code> method:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=f14b6804-ea6f-43c6-a260-83b576d5de4e">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[47]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [49]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="o">.</span><span class="n">between_time</span><span class="p">(</span><span class="s1">&#39;12:00&#39;</span><span class="p">,</span> <span class="s1">&#39;13:00&#39;</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="o">.</span><span class="n">between_time</span><span class="p">(</span><span class="s1">'12:00'</span><span class="p">,</span> <span class="s1">'13:00'</span><span class="p">)</span>
 </pre></div>
-
-     </div>
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-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[47]:</div>
-
-
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-<div>
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-    }
-
-    .dataframe tbody tr th {
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-
-    .dataframe thead th {
-        text-align: right;
-    }
-</style>
-<table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>pickup</th>
-      <th>passenger_count</th>
-      <th>trip_distance</th>
-      <th>payment_type</th>
-      <th>fare_amount</th>
-      <th>extra</th>
-      <th>mta_tax</th>
-      <th>tip_amount</th>
-      <th>tolls_amount</th>
-      <th>improvement_surcharge</th>
-      <th>total_amount</th>
-      <th>congestion_surcharge</th>
-      <th>elapsed_time</th>
-      <th>cost_before_tip</th>
-      <th>tip_pct</th>
-      <th>fees</th>
-      <th>avg_speed</th>
-    </tr>
-    <tr>
-      <th>dropoff</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2019-10-23 12:53:49</th>
-      <td>2019-10-23 12:35:27</td>
-      <td>5</td>
-      <td>2.49</td>
-      <td>1</td>
-      <td>13.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>2.20</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>20.00</td>
-      <td>2.5</td>
-      <td>0 days 00:18:22</td>
-      <td>17.8</td>
-      <td>0.123596</td>
-      <td>4.3</td>
-      <td>8.134301</td>
-    </tr>
-    <tr>
-      <th>2019-10-24 12:30:08</th>
-      <td>2019-10-23 13:25:42</td>
-      <td>4</td>
-      <td>0.76</td>
-      <td>2</td>
-      <td>5.0</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.00</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>9.30</td>
-      <td>2.5</td>
-      <td>0 days 23:04:26</td>
-      <td>9.3</td>
-      <td>0.000000</td>
-      <td>4.3</td>
-      <td>0.032938</td>
-    </tr>
-    <tr>
-      <th>2019-10-24 12:42:01</th>
-      <td>2019-10-23 13:34:03</td>
-      <td>2</td>
-      <td>1.58</td>
-      <td>1</td>
-      <td>7.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>2.36</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>14.16</td>
-      <td>2.5</td>
-      <td>0 days 23:07:58</td>
-      <td>11.8</td>
-      <td>0.200000</td>
-      <td>4.3</td>
-      <td>0.068301</td>
-    </tr>
-  </tbody>
-</table>
-</div>
-</div>
-
-</div>
-
-</div>
-
-</div>
-
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
-<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
-</div>
-<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<p><em>Tip: The <code>at_time()</code> method can be used to extract all entries at a given time (e.g., 12:35:27).</em></p>
-
-</div>
-</div>
-</div>
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
-<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
-</div>
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_first-and-last" data-mime-type="text/markdown">
-<p>Finally, <code>head()</code> and <code>tail()</code> limit us to a number of rows, but we may be interested in rows within the first/last 2 hours (or any other time interval) of the data, in which case, we should use <code>first()</code> / <code>last()</code>:</p>
-
-</div>
-</div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
-<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
-</div>
-<div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[48]:</div>
-<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">taxis</span><span class="o">.</span><span class="n">first</span><span class="p">(</span><span class="s1">&#39;2H&#39;</span><span class="p">)</span>
-</pre></div>
-
-     </div>
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 </div>
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-
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-
-
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-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[49]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
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@@ -24690,245 +15901,189 @@ <h3 id="Selecting-based-on-date-and-time">Selecting based on date and time<a cla
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>pickup</th>
-      <th>passenger_count</th>
-      <th>trip_distance</th>
-      <th>payment_type</th>
-      <th>fare_amount</th>
-      <th>extra</th>
-      <th>mta_tax</th>
-      <th>tip_amount</th>
-      <th>tolls_amount</th>
-      <th>improvement_surcharge</th>
-      <th>total_amount</th>
-      <th>congestion_surcharge</th>
-      <th>elapsed_time</th>
-      <th>cost_before_tip</th>
-      <th>tip_pct</th>
-      <th>fees</th>
-      <th>avg_speed</th>
-    </tr>
-    <tr>
-      <th>dropoff</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
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-      <th></th>
-    </tr>
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-  <tbody>
-    <tr>
-      <th>2019-10-23 07:52:09</th>
-      <td>2019-10-23 07:48:58</td>
-      <td>1</td>
-      <td>0.67</td>
-      <td>2</td>
-      <td>4.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.0</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>8.8</td>
-      <td>2.5</td>
-      <td>0 days 00:03:11</td>
-      <td>8.8</td>
-      <td>0.00000</td>
-      <td>4.3</td>
-      <td>12.628272</td>
-    </tr>
-    <tr>
-      <th>2019-10-23 08:03:16</th>
-      <td>2019-10-23 07:05:34</td>
-      <td>3</td>
-      <td>14.68</td>
-      <td>1</td>
-      <td>50.0</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>4.0</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>55.8</td>
-      <td>0.0</td>
-      <td>0 days 00:57:42</td>
-      <td>51.8</td>
-      <td>0.07722</td>
-      <td>1.8</td>
-      <td>15.265165</td>
-    </tr>
-    <tr>
-      <th>2019-10-23 08:36:05</th>
-      <td>2019-10-23 08:18:47</td>
-      <td>1</td>
-      <td>2.39</td>
-      <td>2</td>
-      <td>12.5</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.0</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>16.8</td>
-      <td>2.5</td>
-      <td>0 days 00:17:18</td>
-      <td>16.8</td>
-      <td>0.00000</td>
-      <td>4.3</td>
-      <td>8.289017</td>
-    </tr>
-    <tr>
-      <th>2019-10-23 09:33:13</th>
-      <td>2019-10-23 09:27:16</td>
-      <td>2</td>
-      <td>1.11</td>
-      <td>2</td>
-      <td>6.0</td>
-      <td>1.0</td>
-      <td>0.5</td>
-      <td>0.0</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>7.8</td>
-      <td>0.0</td>
-      <td>0 days 00:05:57</td>
-      <td>7.8</td>
-      <td>0.00000</td>
-      <td>1.8</td>
-      <td>11.193277</td>
-    </tr>
-    <tr>
-      <th>2019-10-23 09:49:31</th>
-      <td>2019-10-23 09:47:25</td>
-      <td>2</td>
-      <td>0.47</td>
-      <td>2</td>
-      <td>52.0</td>
-      <td>4.5</td>
-      <td>0.5</td>
-      <td>0.0</td>
-      <td>0.0</td>
-      <td>0.3</td>
-      <td>59.8</td>
-      <td>2.5</td>
-      <td>0 days 00:02:06</td>
-      <td>59.8</td>
-      <td>0.00000</td>
-      <td>7.8</td>
-      <td>13.428571</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>pickup</th>
+<th>passenger_count</th>
+<th>trip_distance</th>
+<th>payment_type</th>
+<th>fare_amount</th>
+<th>extra</th>
+<th>mta_tax</th>
+<th>tip_amount</th>
+<th>tolls_amount</th>
+<th>improvement_surcharge</th>
+<th>total_amount</th>
+<th>congestion_surcharge</th>
+<th>elapsed_time</th>
+<th>cost_before_tip</th>
+<th>tip_pct</th>
+<th>fees</th>
+<th>avg_speed</th>
+</tr>
+<tr>
+<th>dropoff</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2019-10-23 12:53:49</th>
+<td>2019-10-23 12:35:27</td>
+<td>5</td>
+<td>2.49</td>
+<td>1</td>
+<td>13.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>2.20</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>20.00</td>
+<td>2.5</td>
+<td>0 days 00:18:22</td>
+<td>17.8</td>
+<td>0.123596</td>
+<td>4.3</td>
+<td>8.134301</td>
+</tr>
+<tr>
+<th>2019-10-24 12:30:08</th>
+<td>2019-10-23 13:25:42</td>
+<td>4</td>
+<td>0.76</td>
+<td>2</td>
+<td>5.0</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>0.00</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>9.30</td>
+<td>2.5</td>
+<td>0 days 23:04:26</td>
+<td>9.3</td>
+<td>0.000000</td>
+<td>4.3</td>
+<td>0.032938</td>
+</tr>
+<tr>
+<th>2019-10-24 12:42:01</th>
+<td>2019-10-23 13:34:03</td>
+<td>2</td>
+<td>1.58</td>
+<td>1</td>
+<td>7.5</td>
+<td>1.0</td>
+<td>0.5</td>
+<td>2.36</td>
+<td>0.0</td>
+<td>0.3</td>
+<td>14.16</td>
+<td>2.5</td>
+<td>0 days 23:07:58</td>
+<td>11.8</td>
+<td>0.200000</td>
+<td>4.3</td>
+<td>0.068301</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
-</div>
-
 </div>
-
 </div>
-
 </div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=9fc39b46-d155-4b53-a32c-3c7eb2f82bab">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<p><em>Tip: Available date/time offsets can be found in the pandas documentation <a href="https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#dateoffset-objects">here</a>.</em></p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><em>Tip: The <code>at_time()</code> method can be used to extract all entries at a given time (e.g., 12:35:27).</em></p>
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=1bc7af6d-fbd2-4028-99e3-deac76074f63">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>For the rest of this section, we will be working with the TSA traveler throughput data. Let's start by setting the index to the <code>date</code> column:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=327eae28-526b-4f16-a813-164141a793da">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[49]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [50]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span> <span class="o">=</span> <span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">&#39;date&#39;</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span> <span class="o">=</span> <span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">'date'</span><span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div>
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=24dfd787-ac43-451e-b5e5-5aeeabc0bd22">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_calculating-change-over-time" data-mime-type="text/markdown">
-<h3 id="Calculating-change-over-time">Calculating change over time<a class="anchor-link" href="#Calculating-change-over-time">&#182;</a></h3>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_calculating-change-over-time" data-mime-type="text/markdown">
+<h3 id="Calculating-change-over-time">Calculating change over time<a class="anchor-link" href="#Calculating-change-over-time">¶</a></h3>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=2138f995-7db1-4f0f-b7dc-ad11873d4563">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[50]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [51]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">&#39;2020&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">'2020'</span><span class="p">]</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
     <span class="n">one_day_change</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">travelers</span><span class="o">.</span><span class="n">diff</span><span class="p">(),</span>
     <span class="n">seven_day_change</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">travelers</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="mi">7</span><span class="p">),</span>
 <span class="p">)</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
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-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[50]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[51]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -24942,172 +16097,158 @@ <h3 id="Calculating-change-over-time">Calculating change over time<a class="anch
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>year</th>
-      <th>travelers</th>
-      <th>holiday</th>
-      <th>one_day_change</th>
-      <th>seven_day_change</th>
-    </tr>
-    <tr>
-      <th>date</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2020-01-01</th>
-      <td>2020</td>
-      <td>2311732.0</td>
-      <td>New Year's Day</td>
-      <td>NaN</td>
-      <td>NaN</td>
-    </tr>
-    <tr>
-      <th>2020-01-02</th>
-      <td>2020</td>
-      <td>2178656.0</td>
-      <td>New Year's Day</td>
-      <td>-133076.0</td>
-      <td>NaN</td>
-    </tr>
-    <tr>
-      <th>2020-01-03</th>
-      <td>2020</td>
-      <td>2422272.0</td>
-      <td>NaN</td>
-      <td>243616.0</td>
-      <td>NaN</td>
-    </tr>
-    <tr>
-      <th>2020-01-04</th>
-      <td>2020</td>
-      <td>2210542.0</td>
-      <td>NaN</td>
-      <td>-211730.0</td>
-      <td>NaN</td>
-    </tr>
-    <tr>
-      <th>2020-01-05</th>
-      <td>2020</td>
-      <td>1806480.0</td>
-      <td>NaN</td>
-      <td>-404062.0</td>
-      <td>NaN</td>
-    </tr>
-    <tr>
-      <th>2020-01-06</th>
-      <td>2020</td>
-      <td>1815040.0</td>
-      <td>NaN</td>
-      <td>8560.0</td>
-      <td>NaN</td>
-    </tr>
-    <tr>
-      <th>2020-01-07</th>
-      <td>2020</td>
-      <td>2034472.0</td>
-      <td>NaN</td>
-      <td>219432.0</td>
-      <td>NaN</td>
-    </tr>
-    <tr>
-      <th>2020-01-08</th>
-      <td>2020</td>
-      <td>2072543.0</td>
-      <td>NaN</td>
-      <td>38071.0</td>
-      <td>-239189.0</td>
-    </tr>
-    <tr>
-      <th>2020-01-09</th>
-      <td>2020</td>
-      <td>1687974.0</td>
-      <td>NaN</td>
-      <td>-384569.0</td>
-      <td>-490682.0</td>
-    </tr>
-    <tr>
-      <th>2020-01-10</th>
-      <td>2020</td>
-      <td>2183734.0</td>
-      <td>NaN</td>
-      <td>495760.0</td>
-      <td>-238538.0</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>year</th>
+<th>travelers</th>
+<th>holiday</th>
+<th>one_day_change</th>
+<th>seven_day_change</th>
+</tr>
+<tr>
+<th>date</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2020-01-01</th>
+<td>2020</td>
+<td>2311732.0</td>
+<td>New Year's Day</td>
+<td>NaN</td>
+<td>NaN</td>
+</tr>
+<tr>
+<th>2020-01-02</th>
+<td>2020</td>
+<td>2178656.0</td>
+<td>New Year's Day</td>
+<td>-133076.0</td>
+<td>NaN</td>
+</tr>
+<tr>
+<th>2020-01-03</th>
+<td>2020</td>
+<td>2422272.0</td>
+<td>NaN</td>
+<td>243616.0</td>
+<td>NaN</td>
+</tr>
+<tr>
+<th>2020-01-04</th>
+<td>2020</td>
+<td>2210542.0</td>
+<td>NaN</td>
+<td>-211730.0</td>
+<td>NaN</td>
+</tr>
+<tr>
+<th>2020-01-05</th>
+<td>2020</td>
+<td>1806480.0</td>
+<td>NaN</td>
+<td>-404062.0</td>
+<td>NaN</td>
+</tr>
+<tr>
+<th>2020-01-06</th>
+<td>2020</td>
+<td>1815040.0</td>
+<td>NaN</td>
+<td>8560.0</td>
+<td>NaN</td>
+</tr>
+<tr>
+<th>2020-01-07</th>
+<td>2020</td>
+<td>2034472.0</td>
+<td>NaN</td>
+<td>219432.0</td>
+<td>NaN</td>
+</tr>
+<tr>
+<th>2020-01-08</th>
+<td>2020</td>
+<td>2072543.0</td>
+<td>NaN</td>
+<td>38071.0</td>
+<td>-239189.0</td>
+</tr>
+<tr>
+<th>2020-01-09</th>
+<td>2020</td>
+<td>1687974.0</td>
+<td>NaN</td>
+<td>-384569.0</td>
+<td>-490682.0</td>
+</tr>
+<tr>
+<th>2020-01-10</th>
+<td>2020</td>
+<td>2183734.0</td>
+<td>NaN</td>
+<td>495760.0</td>
+<td>-238538.0</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
 </div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=c70daf1f-c67c-4f44-8057-1a912aeec044">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><em>Tip: To perform operations other than subtraction, take a look at the <code>shift()</code> method. It also makes it possible to perform operations across columns.</em></p>
-
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=a2157b7e-ccfe-4f35-9e74-a056e4c15882">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_resampling" data-mime-type="text/markdown">
-<h3 id="Resampling">Resampling<a class="anchor-link" href="#Resampling">&#182;</a></h3><p>We can use resampling to aggregate time series data to a new frequency:</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_resampling" data-mime-type="text/markdown">
+<h3 id="Resampling">Resampling<a class="anchor-link" href="#Resampling">¶</a></h3><p>We can use resampling to aggregate time series data to a new <a href="https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases">frequency</a>:</p>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=6593acbe-6bab-438d-a160-3784f4d3131c">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[51]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [52]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="p">[</span><span class="s1">&#39;2019&#39;</span><span class="p">:</span><span class="s1">&#39;2021-Q1&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">select_dtypes</span><span class="p">(</span><span class="n">include</span><span class="o">=</span><span class="s1">&#39;number&#39;</span><span class="p">)</span>\
-    <span class="o">.</span><span class="n">resample</span><span class="p">(</span><span class="s1">&#39;Q&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">agg</span><span class="p">([</span><span class="s1">&#39;sum&#39;</span><span class="p">,</span> <span class="s1">&#39;mean&#39;</span><span class="p">,</span> <span class="s1">&#39;std&#39;</span><span class="p">])</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="p">[</span><span class="s1">'2019'</span><span class="p">:</span><span class="s1">'2021-Q1'</span><span class="p">]</span><span class="o">.</span><span class="n">select_dtypes</span><span class="p">(</span><span class="n">include</span><span class="o">=</span><span class="s1">'number'</span><span class="p">)</span>\
+    <span class="o">.</span><span class="n">resample</span><span class="p">(</span><span class="s1">'QE'</span><span class="p">)</span><span class="o">.</span><span class="n">agg</span><span class="p">([</span><span class="s1">'sum'</span><span class="p">,</span> <span class="s1">'mean'</span><span class="p">,</span> <span class="s1">'std'</span><span class="p">])</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[51]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[52]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -25125,165 +16266,150 @@ <h3 id="Resampling">Resampling<a class="anchor-link" href="#Resampling">&#182;</
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr>
-      <th></th>
-      <th colspan="3" halign="left">travelers</th>
-    </tr>
-    <tr>
-      <th></th>
-      <th>sum</th>
-      <th>mean</th>
-      <th>std</th>
-    </tr>
-    <tr>
-      <th>date</th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2019-03-31</th>
-      <td>189281658.0</td>
-      <td>2.103130e+06</td>
-      <td>282239.618354</td>
-    </tr>
-    <tr>
-      <th>2019-06-30</th>
-      <td>221756667.0</td>
-      <td>2.436886e+06</td>
-      <td>212600.697665</td>
-    </tr>
-    <tr>
-      <th>2019-09-30</th>
-      <td>220819236.0</td>
-      <td>2.400209e+06</td>
-      <td>260140.242892</td>
-    </tr>
-    <tr>
-      <th>2019-12-31</th>
-      <td>211103512.0</td>
-      <td>2.294603e+06</td>
-      <td>260510.040655</td>
-    </tr>
-    <tr>
-      <th>2020-03-31</th>
-      <td>155354148.0</td>
-      <td>1.726157e+06</td>
-      <td>685094.277420</td>
-    </tr>
-    <tr>
-      <th>2020-06-30</th>
-      <td>25049083.0</td>
-      <td>2.752646e+05</td>
-      <td>170127.402046</td>
-    </tr>
-    <tr>
-      <th>2020-09-30</th>
-      <td>63937115.0</td>
-      <td>6.949686e+05</td>
-      <td>103864.705739</td>
-    </tr>
-    <tr>
-      <th>2020-12-31</th>
-      <td>77541248.0</td>
-      <td>8.428397e+05</td>
-      <td>170245.484185</td>
-    </tr>
-    <tr>
-      <th>2021-03-31</th>
-      <td>86094635.0</td>
-      <td>9.566071e+05</td>
-      <td>280399.809061</td>
-    </tr>
-  </tbody>
+<thead>
+<tr>
+<th></th>
+<th colspan="3" halign="left">travelers</th>
+</tr>
+<tr>
+<th></th>
+<th>sum</th>
+<th>mean</th>
+<th>std</th>
+</tr>
+<tr>
+<th>date</th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2019-03-31</th>
+<td>189281658.0</td>
+<td>2.103130e+06</td>
+<td>282239.618354</td>
+</tr>
+<tr>
+<th>2019-06-30</th>
+<td>221756667.0</td>
+<td>2.436886e+06</td>
+<td>212600.697665</td>
+</tr>
+<tr>
+<th>2019-09-30</th>
+<td>220819236.0</td>
+<td>2.400209e+06</td>
+<td>260140.242892</td>
+</tr>
+<tr>
+<th>2019-12-31</th>
+<td>211103512.0</td>
+<td>2.294603e+06</td>
+<td>260510.040655</td>
+</tr>
+<tr>
+<th>2020-03-31</th>
+<td>155354148.0</td>
+<td>1.726157e+06</td>
+<td>685094.277420</td>
+</tr>
+<tr>
+<th>2020-06-30</th>
+<td>25049083.0</td>
+<td>2.752646e+05</td>
+<td>170127.402046</td>
+</tr>
+<tr>
+<th>2020-09-30</th>
+<td>63937115.0</td>
+<td>6.949686e+05</td>
+<td>103864.705739</td>
+</tr>
+<tr>
+<th>2020-12-31</th>
+<td>77541248.0</td>
+<td>8.428397e+05</td>
+<td>170245.484185</td>
+</tr>
+<tr>
+<th>2021-03-31</th>
+<td>86094635.0</td>
+<td>9.566071e+05</td>
+<td>280399.809061</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=824a21af-ca5b-46e6-a31c-fb1bd0e8fa32">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_window-calculations" data-mime-type="text/markdown">
-<h3 id="Window-calculations">Window calculations<a class="anchor-link" href="#Window-calculations">&#182;</a></h3><p>Window calculations are similar to group by calculations except the group over which the calculation is performed isn't static – it can move or expand. Pandas provides functionality for constructing a variety of windows, including moving/rolling windows, expanding windows (e.g., cumulative sum or mean up to the current date in a time series), and exponentially weighted moving windows (to weight closer observations more than further ones). We will only look at rolling and expanding calculations here.</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_window-calculations" data-mime-type="text/markdown">
+<h3 id="Window-calculations">Window calculations<a class="anchor-link" href="#Window-calculations">¶</a></h3><p>Window calculations are similar to group by calculations except the group over which the calculation is performed isn't static – it can move or expand. Pandas provides functionality for constructing a variety of windows, including moving/rolling windows, expanding windows (e.g., cumulative sum or mean up to the current date in a time series), and exponentially weighted moving windows (to weight closer observations more than further ones). We will only look at rolling and expanding calculations here.</p>
 </div>
 </div>
 </div>
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=80f7db58-1714-4645-87c4-196971cb7aaa">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <div style="text-align: center;">
-<img width="30%" src="https://i0.wp.com/www.untoldwanderlust.com/wp-content/uploads/2017/07/Panda-rolling-around-in-bamboo-in-Chengdu-China.jpg?w=700&ssl=1" alt="Panda Rolling" style="min-width: 300px">
-    <div><small><em><a href="https://www.untoldwanderlust.com/chengdu-panda-base/">Source</a></em></small></div>
+<img alt="Panda Rolling" src="https://i0.wp.com/www.untoldwanderlust.com/wp-content/uploads/2017/07/Panda-rolling-around-in-bamboo-in-Chengdu-China.jpg?w=700&amp;ssl=1" style="min-width: 300px" width="30%"/>
+<div><small><em><a href="https://www.untoldwanderlust.com/chengdu-panda-base/">Source</a></em></small></div>
 </div>
-
 </div>
 </div>
 </div>
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=15b71997-1107-463b-849b-f3969fa6a592">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Performing a window calculation is very similar to a group by calculation – we first define the window, and then we specify the aggregation:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=3dc35819-cc7a-4235-97ed-37ee2351b6ad">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[52]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [53]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">&#39;2020&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">'2020'</span><span class="p">]</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
     <span class="o">**</span><span class="p">{</span>
-        <span class="s1">&#39;7D MA&#39;</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">rolling</span><span class="p">(</span><span class="s1">&#39;7D&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">travelers</span><span class="o">.</span><span class="n">mean</span><span class="p">(),</span>
-        <span class="s1">&#39;YTD mean&#39;</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">expanding</span><span class="p">()</span><span class="o">.</span><span class="n">travelers</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
+        <span class="s1">'7D MA'</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">rolling</span><span class="p">(</span><span class="s1">'7D'</span><span class="p">)</span><span class="o">.</span><span class="n">travelers</span><span class="o">.</span><span class="n">mean</span><span class="p">(),</span>
+        <span class="s1">'YTD mean'</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">expanding</span><span class="p">()</span><span class="o">.</span><span class="n">travelers</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
       <span class="p">}</span>
 <span class="p">)</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
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-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[52]:</div>
-
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-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[53]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -25297,2168 +16423,264 @@ <h3 id="Window-calculations">Window calculations<a class="anchor-link" href="#Wi
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>year</th>
-      <th>travelers</th>
-      <th>holiday</th>
-      <th>7D MA</th>
-      <th>YTD mean</th>
-    </tr>
-    <tr>
-      <th>date</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2020-01-01</th>
-      <td>2020</td>
-      <td>2311732.0</td>
-      <td>New Year's Day</td>
-      <td>2.311732e+06</td>
-      <td>2.311732e+06</td>
-    </tr>
-    <tr>
-      <th>2020-01-02</th>
-      <td>2020</td>
-      <td>2178656.0</td>
-      <td>New Year's Day</td>
-      <td>2.245194e+06</td>
-      <td>2.245194e+06</td>
-    </tr>
-    <tr>
-      <th>2020-01-03</th>
-      <td>2020</td>
-      <td>2422272.0</td>
-      <td>NaN</td>
-      <td>2.304220e+06</td>
-      <td>2.304220e+06</td>
-    </tr>
-    <tr>
-      <th>2020-01-04</th>
-      <td>2020</td>
-      <td>2210542.0</td>
-      <td>NaN</td>
-      <td>2.280800e+06</td>
-      <td>2.280800e+06</td>
-    </tr>
-    <tr>
-      <th>2020-01-05</th>
-      <td>2020</td>
-      <td>1806480.0</td>
-      <td>NaN</td>
-      <td>2.185936e+06</td>
-      <td>2.185936e+06</td>
-    </tr>
-    <tr>
-      <th>2020-01-06</th>
-      <td>2020</td>
-      <td>1815040.0</td>
-      <td>NaN</td>
-      <td>2.124120e+06</td>
-      <td>2.124120e+06</td>
-    </tr>
-    <tr>
-      <th>2020-01-07</th>
-      <td>2020</td>
-      <td>2034472.0</td>
-      <td>NaN</td>
-      <td>2.111313e+06</td>
-      <td>2.111313e+06</td>
-    </tr>
-    <tr>
-      <th>2020-01-08</th>
-      <td>2020</td>
-      <td>2072543.0</td>
-      <td>NaN</td>
-      <td>2.077144e+06</td>
-      <td>2.106467e+06</td>
-    </tr>
-    <tr>
-      <th>2020-01-09</th>
-      <td>2020</td>
-      <td>1687974.0</td>
-      <td>NaN</td>
-      <td>2.007046e+06</td>
-      <td>2.059968e+06</td>
-    </tr>
-    <tr>
-      <th>2020-01-10</th>
-      <td>2020</td>
-      <td>2183734.0</td>
-      <td>NaN</td>
-      <td>1.972969e+06</td>
-      <td>2.072344e+06</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>year</th>
+<th>travelers</th>
+<th>holiday</th>
+<th>7D MA</th>
+<th>YTD mean</th>
+</tr>
+<tr>
+<th>date</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2020-01-01</th>
+<td>2020</td>
+<td>2311732.0</td>
+<td>New Year's Day</td>
+<td>2.311732e+06</td>
+<td>2.311732e+06</td>
+</tr>
+<tr>
+<th>2020-01-02</th>
+<td>2020</td>
+<td>2178656.0</td>
+<td>New Year's Day</td>
+<td>2.245194e+06</td>
+<td>2.245194e+06</td>
+</tr>
+<tr>
+<th>2020-01-03</th>
+<td>2020</td>
+<td>2422272.0</td>
+<td>NaN</td>
+<td>2.304220e+06</td>
+<td>2.304220e+06</td>
+</tr>
+<tr>
+<th>2020-01-04</th>
+<td>2020</td>
+<td>2210542.0</td>
+<td>NaN</td>
+<td>2.280800e+06</td>
+<td>2.280800e+06</td>
+</tr>
+<tr>
+<th>2020-01-05</th>
+<td>2020</td>
+<td>1806480.0</td>
+<td>NaN</td>
+<td>2.185936e+06</td>
+<td>2.185936e+06</td>
+</tr>
+<tr>
+<th>2020-01-06</th>
+<td>2020</td>
+<td>1815040.0</td>
+<td>NaN</td>
+<td>2.124120e+06</td>
+<td>2.124120e+06</td>
+</tr>
+<tr>
+<th>2020-01-07</th>
+<td>2020</td>
+<td>2034472.0</td>
+<td>NaN</td>
+<td>2.111313e+06</td>
+<td>2.111313e+06</td>
+</tr>
+<tr>
+<th>2020-01-08</th>
+<td>2020</td>
+<td>2072543.0</td>
+<td>NaN</td>
+<td>2.077144e+06</td>
+<td>2.106467e+06</td>
+</tr>
+<tr>
+<th>2020-01-09</th>
+<td>2020</td>
+<td>1687974.0</td>
+<td>NaN</td>
+<td>2.007046e+06</td>
+<td>2.059968e+06</td>
+</tr>
+<tr>
+<th>2020-01-10</th>
+<td>2020</td>
+<td>2183734.0</td>
+<td>NaN</td>
+<td>1.972969e+06</td>
+<td>2.072344e+06</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=097e50b3-c3d9-4bca-9641-6555b744b431">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>To understand what's happening, it's best to visualize the original data and the result, so here's a sneak peek of plotting with pandas. First, some setup to embed SVG-format plots in the notebook:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=71ec5579-1f12-4e5e-8ef6-076811dc715e">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[53]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [54]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib_inline</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib_inline</span>
 <span class="kn">from</span> <span class="nn">utils</span> <span class="kn">import</span> <span class="n">mpl_svg_config</span>
 
 <span class="n">matplotlib_inline</span><span class="o">.</span><span class="n">backend_inline</span><span class="o">.</span><span class="n">set_matplotlib_formats</span><span class="p">(</span>
-    <span class="s1">&#39;svg&#39;</span><span class="p">,</span> <span class="c1"># output images using SVG format</span>
-    <span class="o">**</span><span class="n">mpl_svg_config</span><span class="p">(</span><span class="s1">&#39;section-2&#39;</span><span class="p">)</span> <span class="c1"># optional: configure metadata</span>
+    <span class="s1">'svg'</span><span class="p">,</span> <span class="c1"># output images using SVG format</span>
+    <span class="o">**</span><span class="n">mpl_svg_config</span><span class="p">(</span><span class="s1">'section-2'</span><span class="p">)</span> <span class="c1"># optional: configure metadata</span>
 <span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
 </div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=597d978d-9ba3-4012-8b9a-8eb075fc03bd">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p><em>Tip: For most use cases, only the first argument is necessary – we will discuss the second argument in more detail in the next section.</em></p>
-
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=aca1c599-9edd-4fd6-ae9e-6ab99dce776f">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Now, we call the <code>plot()</code> method to visualize the data:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=a2b79c72-d7b4-45e4-bc2c-4f990d9bf278">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[54]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [55]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">_</span> <span class="o">=</span> <span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">&#39;2020&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">_</span> <span class="o">=</span> <span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">'2020'</span><span class="p">]</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
     <span class="o">**</span><span class="p">{</span>
-        <span class="s1">&#39;7D MA&#39;</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">rolling</span><span class="p">(</span><span class="s1">&#39;7D&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">travelers</span><span class="o">.</span><span class="n">mean</span><span class="p">(),</span>
-        <span class="s1">&#39;YTD mean&#39;</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">expanding</span><span class="p">()</span><span class="o">.</span><span class="n">travelers</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
+        <span class="s1">'7D MA'</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">rolling</span><span class="p">(</span><span class="s1">'7D'</span><span class="p">)</span><span class="o">.</span><span class="n">travelers</span><span class="o">.</span><span class="n">mean</span><span class="p">(),</span>
+        <span class="s1">'YTD mean'</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">expanding</span><span class="p">()</span><span class="o">.</span><span class="n">travelers</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
       <span class="p">}</span>
-<span class="p">)</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s1">&#39;2020 TSA Traveler Throughput&#39;</span><span class="p">,</span> <span class="n">ylabel</span><span class="o">=</span><span class="s1">&#39;travelers&#39;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.8</span><span class="p">)</span>
+<span class="p">)</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s1">'2020 TSA Traveler Throughput'</span><span class="p">,</span> <span class="n">ylabel</span><span class="o">=</span><span class="s1">'travelers'</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.8</span><span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Other types of windows:</p>
 <ul>
 <li><a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.ewm.html">exponentially weighted moving</a>: use the <code>ewm()</code> method</li>
 <li><a href="https://pandas.pydata.org/docs/user_guide/window.html#window-custom-rolling-window">custom</a>: create a subclass of <code>pandas.api.indexers.BaseIndexer</code> or use a pre-built one in <code>pandas.api.indexers</code></li>
 </ul>
-
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-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
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+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=170454cf-2f3f-4f3b-beae-40479acb2a76">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_exercise-2-5" data-mime-type="text/markdown">
-<h3 id="Exercise-2.5">Exercise 2.5<a class="anchor-link" href="#Exercise-2.5">&#182;</a></h3><h5 id="Using-the-taxi-trip-data-in-the-2019_Yellow_Taxi_Trip_Data.csv-file,-resample-the-data-to-an-hourly-frequency-based-on-the-dropoff-time.-Calculate-the-total-trip_distance,-fare_amount,-tolls_amount,-and-tip_amount,-then-find-the-5-hours-with-the-most-tips.">Using the taxi trip data in the <code>2019_Yellow_Taxi_Trip_Data.csv</code> file, resample the data to an hourly frequency based on the dropoff time. Calculate the total <code>trip_distance</code>, <code>fare_amount</code>, <code>tolls_amount</code>, and <code>tip_amount</code>, then find the 5 hours with the most tips.<a class="anchor-link" href="#Using-the-taxi-trip-data-in-the-2019_Yellow_Taxi_Trip_Data.csv-file,-resample-the-data-to-an-hourly-frequency-based-on-the-dropoff-time.-Calculate-the-total-trip_distance,-fare_amount,-tolls_amount,-and-tip_amount,-then-find-the-5-hours-with-the-most-tips.">&#182;</a></h5>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_exercise-2-5" data-mime-type="text/markdown">
+<h3 id="Exercise-2.5">Exercise 2.5<a class="anchor-link" href="#Exercise-2.5">¶</a></h3><h5 id="Using-the-taxi-trip-data-in-the-2019_Yellow_Taxi_Trip_Data.csv-file,-resample-the-data-to-an-hourly-frequency-based-on-the-dropoff-time.-Calculate-the-total-trip_distance,-fare_amount,-tolls_amount,-and-tip_amount,-then-find-the-5-hours-with-the-most-tips.">Using the taxi trip data in the <code>2019_Yellow_Taxi_Trip_Data.csv</code> file, resample the data to an hourly frequency based on the dropoff time. Calculate the total <code>trip_distance</code>, <code>fare_amount</code>, <code>tolls_amount</code>, and <code>tip_amount</code>, then find the 5 hours with the most tips.<a class="anchor-link" href="#Using-the-taxi-trip-data-in-the-2019_Yellow_Taxi_Trip_Data.csv-file,-resample-the-data-to-an-hourly-frequency-based-on-the-dropoff-time.-Calculate-the-total-trip_distance,-fare_amount,-tolls_amount,-and-tip_amount,-then-find-the-5-hours-with-the-most-tips.">¶</a></h5>
 </div>
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 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=34dece95-55f0-4ab2-932f-5a6ae13093f1">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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 </div>
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_solution-2-5" data-mime-type="text/markdown">
-<h3 id="Solution">Solution<a class="anchor-link" href="#Solution">&#182;</a></h3>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_solution-2-5" data-mime-type="text/markdown">
+<h3 id="Solution">Solution<a class="anchor-link" href="#Solution">¶</a></h3>
 </div>
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-</div><div class="fragment" ><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment"><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=eac8caa8-73c0-4dd7-a8ba-eea5b701f8f7">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[55]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [56]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
 
 <span class="n">taxis</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span>
-    <span class="s1">&#39;../data/2019_Yellow_Taxi_Trip_Data.csv&#39;</span><span class="p">,</span>
-    <span class="n">parse_dates</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">index_col</span><span class="o">=</span><span class="s1">&#39;tpep_dropoff_datetime&#39;</span>
+    <span class="s1">'../data/2019_Yellow_Taxi_Trip_Data.csv'</span><span class="p">,</span>
+    <span class="n">parse_dates</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">index_col</span><span class="o">=</span><span class="s1">'tpep_dropoff_datetime'</span>
 <span class="p">)</span>
-<span class="n">taxis</span><span class="o">.</span><span class="n">resample</span><span class="p">(</span><span class="s1">&#39;1H&#39;</span><span class="p">)[[</span>
-    <span class="s1">&#39;trip_distance&#39;</span><span class="p">,</span> <span class="s1">&#39;fare_amount&#39;</span><span class="p">,</span> <span class="s1">&#39;tolls_amount&#39;</span><span class="p">,</span> <span class="s1">&#39;tip_amount&#39;</span>
-<span class="p">]]</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">nlargest</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="s1">&#39;tip_amount&#39;</span><span class="p">)</span>
+<span class="n">taxis</span><span class="o">.</span><span class="n">resample</span><span class="p">(</span><span class="s1">'1h'</span><span class="p">)[[</span>
+    <span class="s1">'trip_distance'</span><span class="p">,</span> <span class="s1">'fare_amount'</span><span class="p">,</span> <span class="s1">'tolls_amount'</span><span class="p">,</span> <span class="s1">'tip_amount'</span>
+<span class="p">]]</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">nlargest</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="s1">'tip_amount'</span><span class="p">)</span>
 </pre></div>
-
-     </div>
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+</div>
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-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[55]:</div>
-
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+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[56]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -27472,208 +16694,189 @@ <h3 id="Solution">Solution<a class="anchor-link" href="#Solution">&#182;</a></h3
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>trip_distance</th>
-      <th>fare_amount</th>
-      <th>tolls_amount</th>
-      <th>tip_amount</th>
-    </tr>
-    <tr>
-      <th>tpep_dropoff_datetime</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2019-10-23 16:00:00</th>
-      <td>10676.95</td>
-      <td>67797.76</td>
-      <td>699.04</td>
-      <td>12228.64</td>
-    </tr>
-    <tr>
-      <th>2019-10-23 17:00:00</th>
-      <td>16052.83</td>
-      <td>70131.91</td>
-      <td>4044.04</td>
-      <td>12044.03</td>
-    </tr>
-    <tr>
-      <th>2019-10-23 18:00:00</th>
-      <td>3104.56</td>
-      <td>11565.56</td>
-      <td>1454.67</td>
-      <td>1907.64</td>
-    </tr>
-    <tr>
-      <th>2019-10-23 15:00:00</th>
-      <td>14.34</td>
-      <td>213.50</td>
-      <td>0.00</td>
-      <td>51.75</td>
-    </tr>
-    <tr>
-      <th>2019-10-23 19:00:00</th>
-      <td>98.59</td>
-      <td>268.00</td>
-      <td>24.48</td>
-      <td>25.74</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>trip_distance</th>
+<th>fare_amount</th>
+<th>tolls_amount</th>
+<th>tip_amount</th>
+</tr>
+<tr>
+<th>tpep_dropoff_datetime</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2019-10-23 16:00:00</th>
+<td>10676.95</td>
+<td>67797.76</td>
+<td>699.04</td>
+<td>12228.64</td>
+</tr>
+<tr>
+<th>2019-10-23 17:00:00</th>
+<td>16052.83</td>
+<td>70131.91</td>
+<td>4044.04</td>
+<td>12044.03</td>
+</tr>
+<tr>
+<th>2019-10-23 18:00:00</th>
+<td>3104.56</td>
+<td>11565.56</td>
+<td>1454.67</td>
+<td>1907.64</td>
+</tr>
+<tr>
+<th>2019-10-23 15:00:00</th>
+<td>14.34</td>
+<td>213.50</td>
+<td>0.00</td>
+<td>51.75</td>
+</tr>
+<tr>
+<th>2019-10-23 19:00:00</th>
+<td>98.59</td>
+<td>268.00</td>
+<td>24.48</td>
+<td>25.74</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
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-
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-
-</div></div></section></section><section ><section >
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+</div></div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=71cbab3e-e8f5-48a6-8520-5f9412ff7300">
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-<h2 id="Section-2-Complete-%F0%9F%8E%89">Section 2 Complete &#127881;<a class="anchor-link" href="#Section-2-Complete-%F0%9F%8E%89">&#182;</a></h2><img width="30%" src="https://www.pngkey.com/png/detail/129-1298535_panda-bear-images-cartoon-cute-panda-bear.png" alt="Panda Bear Images - Cartoon Cute Panda Bear@pngkey.com" style="min-width: 300px">
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Section-2-Complete-%F0%9F%8E%89">Section 2 Complete 🎉<a class="anchor-link" href="#Section-2-Complete-%F0%9F%8E%89">¶</a></h2><img alt="Panda Bear Images - Cartoon Cute Panda Bear@pngkey.com" src="https://www.pngkey.com/png/detail/129-1298535_panda-bear-images-cartoon-cute-panda-bear.png" style="min-width: 300px" width="30%"/>
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+</div></section></section><section><section>
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-<h1 id="Section-3:-Data-Visualization">Section 3: Data Visualization<a class="anchor-link" href="#Section-3:-Data-Visualization">&#182;</a></h1><p>The human brain excels at finding patterns in visual representations of the data; so in this section, we will learn how to visualize data using pandas along with the Matplotlib and Seaborn libraries for additional features. We will create a variety of visualizations that will help us better understand our data.</p>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_section-3" data-mime-type="text/markdown">
+<h1 id="Section-3:-Data-Visualization">Section 3: Data Visualization<a class="anchor-link" href="#Section-3:-Data-Visualization">¶</a></h1><p>The human brain excels at finding patterns in visual representations of the data; so in this section, we will learn how to visualize data using pandas along with the Matplotlib and Seaborn libraries for additional features. We will create a variety of visualizations that will help us better understand our data.</p>
 <div style="text-align: center;">
-<img width="30%" src="https://images.unsplash.com/photo-1638898407927-79801f46960b?ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D&auto=format&fit=crop&w=2070&q=80" alt="Peek-a-boo! by Bobby Mc Leod on Unsplash" style="min-width: 300px"/>
+<img alt="Peek-a-boo! by Bobby Mc Leod on Unsplash" src="https://images.unsplash.com/photo-1638898407927-79801f46960b?ixlib=rb-4.0.3&amp;ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D&amp;auto=format&amp;fit=crop&amp;w=2070&amp;q=80" style="min-width: 300px" width="30%">
 <div><small><em><a href="https://unsplash.com/photos/XmnfnuqPNMY">Source</a></em></small></div>
-</div>
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+</img></div>
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+</div></section></section><section><section>
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-<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">&#182;</a></h2><ol>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">¶</a></h2><ol>
 <li><strong>Why is data visualization necessary?</strong></li>
 <li>Plotting with pandas</li>
 <li>Plotting with Seaborn</li>
 <li>Customizing plots with Matplotlib</li>
 </ol>
-
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 </div>
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-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=c9f34c93-4ca5-4893-b02a-ba1844432576">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-<h2 id="Why-is-data-visualization-necessary?">Why is data visualization necessary?<a class="anchor-link" href="#Why-is-data-visualization-necessary?">&#182;</a></h2><p>So far, we have focused a lot on summarizing the data using statistics. However, summary statistics are not enough to understand the distribution – there are many possible distributions for a given set of summary statistics. Data visualization is necessary to truly understand the distribution:</p>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Why-is-data-visualization-necessary?">Why is data visualization necessary?<a class="anchor-link" href="#Why-is-data-visualization-necessary?">¶</a></h2><p>So far, we have focused a lot on summarizing the data using statistics. However, summary statistics are not enough to understand the distribution – there are many possible distributions for a given set of summary statistics. Data visualization is necessary to truly understand the distribution:</p>
 <div style="text-align: center; margin-top: -10px;">
-<img width="50%" src="https://raw.githubusercontent.com/stefmolin/data-morph/main/docs/_static/panda-to-star-eased.gif" alt="Data Morph: panda to star" style="min-width: 300px; margin-bottom: -10px;"/>
+<img alt="Data Morph: panda to star" src="https://raw.githubusercontent.com/stefmolin/data-morph/main/docs/_static/panda-to-star-eased.gif" style="min-width: 300px; margin-bottom: -10px;" width="50%">
 <div style="margin: auto 26%;"><small><em>A set of points forming a panda can also form a star without any significant changes to the summary statistics displayed above. (source: <a href="https://stefaniemolin.com/data-morph/stable/index.html">Data Morph</a>)</em></small></div>
-</div>
-
+</img></div>
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-</div></section></section><section ><section >
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+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=bed5ec02-0cbf-4378-bb63-33e0d4e2eb30">
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-<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">&#182;</a></h2><ol>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Learning-Path">Learning Path<a class="anchor-link" href="#Learning-Path">¶</a></h2><ol>
 <li>Why is data visualization necessary?</li>
 <li><strong>Plotting with pandas</strong></li>
 <li>Plotting with Seaborn</li>
 <li>Customizing plots with Matplotlib</li>
 </ol>
-
 </div>
 </div>
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-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
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+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=1e8fa056-2863-4442-9c39-533352b6240e">
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 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_plotting-with-pandas" data-mime-type="text/markdown">
-<h2 id="Plotting-with-pandas">Plotting with pandas<a class="anchor-link" href="#Plotting-with-pandas">&#182;</a></h2><p>We can create a variety of visualizations using the <code>plot()</code> method. In this section, we will take a brief tour of some of this functionality, which under the hood uses Matplotlib.</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_plotting-with-pandas" data-mime-type="text/markdown">
+<h2 id="Plotting-with-pandas">Plotting with pandas<a class="anchor-link" href="#Plotting-with-pandas">¶</a></h2><p>We can create a variety of visualizations using the <code>plot()</code> method. In this section, we will take a brief tour of some of this functionality, which under the hood uses Matplotlib.</p>
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=4d76e200-28d8-417b-bce7-bd4713a30f0a">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Once again, we will be working with the TSA traveler throughput data that we cleaned up in the previous section:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=154aa658-0a4f-4eaa-8f86-c47a4a687633">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[1]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
 
 <span class="n">tsa_melted_holiday_travel</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span>
-    <span class="s1">&#39;../data/tsa_melted_holiday_travel.csv&#39;</span><span class="p">,</span> 
-    <span class="n">parse_dates</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">index_col</span><span class="o">=</span><span class="s1">&#39;date&#39;</span>
+    <span class="s1">'../data/tsa_melted_holiday_travel.csv'</span><span class="p">,</span>
+    <span class="n">parse_dates</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">index_col</span><span class="o">=</span><span class="s1">'date'</span>
 <span class="p">)</span>
 <span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
-
 <div class="jp-OutputArea jp-Cell-outputArea">
 <div class="jp-OutputArea-child jp-OutputArea-executeResult">
-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[1]:</div>
-
-
-
-<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[1]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
 <div>
-<style scoped>
+<style scoped="">
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -27687,2107 +16890,305 @@ <h2 id="Plotting-with-pandas">Plotting with pandas<a class="anchor-link" href="#
     }
 </style>
 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>year</th>
-      <th>travelers</th>
-      <th>holiday</th>
-    </tr>
-    <tr>
-      <th>date</th>
-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>2019-01-01</th>
-      <td>2019</td>
-      <td>2126398.0</td>
-      <td>New Year's Day</td>
-    </tr>
-    <tr>
-      <th>2019-01-02</th>
-      <td>2019</td>
-      <td>2345103.0</td>
-      <td>New Year's Day</td>
-    </tr>
-    <tr>
-      <th>2019-01-03</th>
-      <td>2019</td>
-      <td>2202111.0</td>
-      <td>NaN</td>
-    </tr>
-    <tr>
-      <th>2019-01-04</th>
-      <td>2019</td>
-      <td>2150571.0</td>
-      <td>NaN</td>
-    </tr>
-    <tr>
-      <th>2019-01-05</th>
-      <td>2019</td>
-      <td>1975947.0</td>
-      <td>NaN</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>year</th>
+<th>travelers</th>
+<th>holiday</th>
+</tr>
+<tr>
+<th>date</th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2019-01-01</th>
+<td>2019</td>
+<td>2126398.0</td>
+<td>New Year's Day</td>
+</tr>
+<tr>
+<th>2019-01-02</th>
+<td>2019</td>
+<td>2345103.0</td>
+<td>New Year's Day</td>
+</tr>
+<tr>
+<th>2019-01-03</th>
+<td>2019</td>
+<td>2202111.0</td>
+<td>NaN</td>
+</tr>
+<tr>
+<th>2019-01-04</th>
+<td>2019</td>
+<td>2150571.0</td>
+<td>NaN</td>
+</tr>
+<tr>
+<th>2019-01-05</th>
+<td>2019</td>
+<td>1975947.0</td>
+<td>NaN</td>
+</tr>
+</tbody>
 </table>
 </div>
 </div>
-
 </div>
-
 </div>
-
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f4f708b4-7d14-4d6b-9c37-a2dd71998307">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>To embed SVG-format plots in the notebook, we will configure the Matplotlib plotting backend to generate SVG output (first argument) with custom metadata (second argument):</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=3addc447-062a-48b8-b1d6-f85ca9565f8f">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[2]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [2]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib_inline</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib_inline</span>
 <span class="kn">from</span> <span class="nn">utils</span> <span class="kn">import</span> <span class="n">mpl_svg_config</span>
 
 <span class="n">matplotlib_inline</span><span class="o">.</span><span class="n">backend_inline</span><span class="o">.</span><span class="n">set_matplotlib_formats</span><span class="p">(</span>
-    <span class="s1">&#39;svg&#39;</span><span class="p">,</span> <span class="c1"># output images using SVG format</span>
-    <span class="o">**</span><span class="n">mpl_svg_config</span><span class="p">(</span><span class="s1">&#39;section-3&#39;</span><span class="p">)</span> <span class="c1"># optional: configure metadata</span>
+    <span class="s1">'svg'</span><span class="p">,</span> <span class="c1"># output images using SVG format</span>
+    <span class="o">**</span><span class="n">mpl_svg_config</span><span class="p">(</span><span class="s1">'section-3'</span><span class="p">)</span> <span class="c1"># optional: configure metadata</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=46cc6aa3-92f0-4d29-953f-5cfe0f55efab">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><em>Note: The second argument is optional and is used here to make the SVG output reproducible by setting the <code>hashsalt</code> along with some metadata, which will be used by Matplotlib when generating any SVG output (see the <code>utils.py</code> file for more details). Without this argument, different runs of the same plotting code will generate plots that are visually identical, but differ at the HTML level due to different IDs, metadata, etc.</em></p>
+</div>
+</div>
+</div>
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=02bf0fd6-d328-4266-b082-7a9f29507030">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_line-plots" data-mime-type="text/markdown">
+<h3 id="Line-plots">Line plots<a class="anchor-link" href="#Line-plots">¶</a></h3><p>Let's continue with the example of rolling and expanding calculations:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=08a8d3b5-ac5a-438b-9fbe-5bd6c27ec526">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [3]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">plot_data</span> <span class="o">=</span> <span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="s1">'year'</span><span class="p">)</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">'2020'</span><span class="p">]</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
+    <span class="o">**</span><span class="p">{</span>
+        <span class="s1">'7D MA'</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">travelers</span><span class="o">.</span><span class="n">rolling</span><span class="p">(</span><span class="s1">'7D'</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">(),</span>
+        <span class="s1">'YTD mean'</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">travelers</span><span class="o">.</span><span class="n">expanding</span><span class="p">()</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
+      <span class="p">}</span>
 <span class="p">)</span>
+<span class="n">plot_data</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
 </pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[3]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
+<div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
 
-     </div>
-</div>
-</div>
-</div>
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
 
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>travelers</th>
+<th>holiday</th>
+<th>7D MA</th>
+<th>YTD mean</th>
+</tr>
+<tr>
+<th>date</th>
+<th></th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>2020-01-01</th>
+<td>2311732.0</td>
+<td>New Year's Day</td>
+<td>2311732.0</td>
+<td>2311732.0</td>
+</tr>
+<tr>
+<th>2020-01-02</th>
+<td>2178656.0</td>
+<td>New Year's Day</td>
+<td>2245194.0</td>
+<td>2245194.0</td>
+</tr>
+<tr>
+<th>2020-01-03</th>
+<td>2422272.0</td>
+<td>NaN</td>
+<td>2304220.0</td>
+<td>2304220.0</td>
+</tr>
+<tr>
+<th>2020-01-04</th>
+<td>2210542.0</td>
+<td>NaN</td>
+<td>2280800.5</td>
+<td>2280800.5</td>
+</tr>
+<tr>
+<th>2020-01-05</th>
+<td>1806480.0</td>
+<td>NaN</td>
+<td>2185936.4</td>
+<td>2185936.4</td>
+</tr>
+</tbody>
+</table>
 </div>
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
-<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
-<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<p><em>Note: The second argument is optional and is used here to make the SVG output reproducible by setting the <code>hashsalt</code> along with some metadata, which will be used by Matplotlib when generating any SVG output (see the <code>utils.py</code> file for more details). Without this argument, different runs of the same plotting code will generate plots that are visually identical, but differ at the HTML level due to different IDs, metadata, etc.</em></p>
-
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=0d371030-9926-4063-bc8e-e2b38f4c8541">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_line-plots" data-mime-type="text/markdown">
-<h3 id="Line-plots">Line plots<a class="anchor-link" href="#Line-plots">&#182;</a></h3><p>The <code>plot()</code> method will generate line plots for all numeric columns by default:</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>The <code>plot()</code> method will generate line plots for all numeric columns by default:</p>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=729c9323-a128-46c6-a8b0-2f652ec5e02c">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[3]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [4]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="s1">&#39;year&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">&#39;2020&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
-    <span class="o">**</span><span class="p">{</span>
-        <span class="s1">&#39;7D MA&#39;</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">travelers</span><span class="o">.</span><span class="n">rolling</span><span class="p">(</span><span class="s1">&#39;7D&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">(),</span>
-        <span class="s1">&#39;YTD mean&#39;</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">travelers</span><span class="o">.</span><span class="n">expanding</span><span class="p">()</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
-      <span class="p">}</span>
-<span class="p">)</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s1">&#39;2020 TSA Traveler Throughput&#39;</span><span class="p">,</span> <span class="n">ylabel</span><span class="o">=</span><span class="s1">&#39;travelers&#39;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.8</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">plot_data</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span>
+    <span class="n">title</span><span class="o">=</span><span class="s1">'2020 TSA Traveler Throughput'</span><span class="p">,</span> <span class="n">ylabel</span><span class="o">=</span><span class="s1">'travelers'</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.8</span>
+<span class="p">)</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
+</div>
 <div class="jp-Cell-outputWrapper">
 <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
 </div>
-
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</svg>
"/>
+</div>
+</div>
+</div>
+</div>
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=83f38dc9-b1a7-457e-8c32-4cc36af7cc64">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>The <code>plot()</code> method returns an <code>Axes</code> object that can be modified further (e.g., to add reference lines, annotations, labels, etc.). Let's walk through an example.</p>
-
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=2f5a3a90-3bf4-4f44-8f98-bc20ed15b020">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_bar-plots" data-mime-type="text/markdown">
-<h3 id="Bar-plots">Bar plots<a class="anchor-link" href="#Bar-plots">&#182;</a></h3><p>For our next example, we will plot vertical bars to compare monthly TSA traveler throughput across years. Let's start by creating a pivot table with the information we need:</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_bar-plots" data-mime-type="text/markdown">
+<h3 id="Bar-plots">Bar plots<a class="anchor-link" href="#Bar-plots">¶</a></h3><p>For our next example, we will plot vertical bars to compare monthly TSA traveler throughput across years. Let's start by creating a pivot table with the information we need:</p>
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=6b4b550f-3bcc-45cf-a35f-000db7cf31bb">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[4]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [5]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plot_data</span> <span class="o">=</span> <span class="n">tsa_melted_holiday_travel</span><span class="p">[</span><span class="s1">&#39;2019&#39;</span><span class="p">:</span><span class="s1">&#39;2021-04&#39;</span><span class="p">]</span>\
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">plot_data</span> <span class="o">=</span> <span class="n">tsa_melted_holiday_travel</span><span class="p">[</span><span class="s1">'2019'</span><span class="p">:</span><span class="s1">'2021-04'</span><span class="p">]</span>\
     <span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">month</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">month</span><span class="p">)</span>\
-    <span class="o">.</span><span class="n">pivot_table</span><span class="p">(</span><span class="n">index</span><span class="o">=</span><span class="s1">&#39;month&#39;</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="s1">&#39;year&#39;</span><span class="p">,</span> <span class="n">values</span><span class="o">=</span><span class="s1">&#39;travelers&#39;</span><span class="p">,</span> <span class="n">aggfunc</span><span class="o">=</span><span class="s1">&#39;sum&#39;</span><span class="p">)</span>
+    <span class="o">.</span><span class="n">pivot_table</span><span class="p">(</span><span class="n">index</span><span class="o">=</span><span class="s1">'month'</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="s1">'year'</span><span class="p">,</span> <span class="n">values</span><span class="o">=</span><span class="s1">'travelers'</span><span class="p">,</span> <span class="n">aggfunc</span><span class="o">=</span><span class="s1">'sum'</span><span class="p">)</span>
 <span class="n">plot_data</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
 </pre></div>
-
-     </div>
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+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[5]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
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@@ -29801,88 +17202,83 @@ <h3 id="Bar-plots">Bar plots<a class="anchor-link" href="#Bar-plots">&#182;</a><
     }
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 <table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th>year</th>
-      <th>2019</th>
-      <th>2020</th>
-      <th>2021</th>
-    </tr>
-    <tr>
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-      <th></th>
-      <th></th>
-      <th></th>
-    </tr>
-  </thead>
-  <tbody>
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-      <td>59405722.0</td>
-      <td>61930286.0</td>
-      <td>23598230.0</td>
-    </tr>
-    <tr>
-      <th>2</th>
-      <td>57345684.0</td>
-      <td>60428859.0</td>
-      <td>24446345.0</td>
-    </tr>
-    <tr>
-      <th>3</th>
-      <td>72530252.0</td>
-      <td>32995003.0</td>
-      <td>38050060.0</td>
-    </tr>
-    <tr>
-      <th>4</th>
-      <td>70518994.0</td>
-      <td>3322548.0</td>
-      <td>41826159.0</td>
-    </tr>
-    <tr>
-      <th>5</th>
-      <td>74617773.0</td>
-      <td>7244733.0</td>
-      <td>NaN</td>
-    </tr>
-  </tbody>
+<thead>
+<tr style="text-align: right;">
+<th>year</th>
+<th>2019</th>
+<th>2020</th>
+<th>2021</th>
+</tr>
+<tr>
+<th>month</th>
+<th></th>
+<th></th>
+<th></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>1</th>
+<td>59405722.0</td>
+<td>61930286.0</td>
+<td>23598230.0</td>
+</tr>
+<tr>
+<th>2</th>
+<td>57345684.0</td>
+<td>60428859.0</td>
+<td>24446345.0</td>
+</tr>
+<tr>
+<th>3</th>
+<td>72530252.0</td>
+<td>32995003.0</td>
+<td>38050060.0</td>
+</tr>
+<tr>
+<th>4</th>
+<td>70518994.0</td>
+<td>3322548.0</td>
+<td>41826159.0</td>
+</tr>
+<tr>
+<th>5</th>
+<td>74617773.0</td>
+<td>7244733.0</td>
+<td>NaN</td>
+</tr>
+</tbody>
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-
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-
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-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=b7459afb-315f-4e0e-8b31-4f9004b056b4">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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 <p>Pandas offers other plot types via the <code>kind</code> parameter, so we specify <code>kind='bar'</code> when calling the <code>plot()</code> method. Then, we further format the visualization using the <code>Axes</code> object returned by the <code>plot()</code> method:</p>
-
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[5]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [6]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">calendar</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">calendar</span>
 <span class="kn">from</span> <span class="nn">matplotlib</span> <span class="kn">import</span> <span class="n">ticker</span>
 
 <span class="n">ax</span> <span class="o">=</span> <span class="n">plot_data</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span>
-    <span class="n">kind</span><span class="o">=</span><span class="s1">&#39;bar&#39;</span><span class="p">,</span> <span class="n">rot</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">xlabel</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">ylabel</span><span class="o">=</span><span class="s1">&#39;travelers&#39;</span><span class="p">,</span>
-    <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mf">1.5</span><span class="p">),</span> <span class="n">title</span><span class="o">=</span><span class="s1">&#39;TSA Monthly Traveler Throughput&#39;</span>
+    <span class="n">kind</span><span class="o">=</span><span class="s1">'bar'</span><span class="p">,</span> <span class="n">rot</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">xlabel</span><span class="o">=</span><span class="s1">''</span><span class="p">,</span> <span class="n">ylabel</span><span class="o">=</span><span class="s1">'travelers'</span><span class="p">,</span>
+    <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mf">1.5</span><span class="p">),</span> <span class="n">title</span><span class="o">=</span><span class="s1">'TSA Monthly Traveler Throughput'</span>
 <span class="p">)</span>
 
 <span class="c1"># use month abbreviations for the ticks on the x-axis</span>
@@ -29892,5768 +17288,362 @@ <h3 id="Bar-plots">Bar plots<a class="anchor-link" href="#Bar-plots">&#182;</a><
 <span class="n">ax</span><span class="o">.</span><span class="n">yaxis</span><span class="o">.</span><span class="n">set_major_formatter</span><span class="p">(</span><span class="n">ticker</span><span class="o">.</span><span class="n">EngFormatter</span><span class="p">())</span>
 
 <span class="c1"># customize the legend</span>
-<span class="n">ax</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="n">loc</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span> <span class="n">bbox_to_anchor</span><span class="o">=</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.3</span><span class="p">),</span> <span class="n">ncols</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">frameon</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s1">''</span><span class="p">,</span> <span class="n">loc</span><span class="o">=</span><span class="s1">'center'</span><span class="p">,</span> <span class="n">bbox_to_anchor</span><span class="o">=</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.3</span><span class="p">),</span> <span class="n">ncols</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">frameon</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
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 <p>Some additional things to keep in mind:</p>
 <ul>
 <li>Matplotlib's <code>ticker</code> module provides functionality for customizing both the tick labels and locations – check out the <a href="https://matplotlib.org/stable/api/ticker_api.html">documentation</a> for more information.</li>
 <li>Pandas supports horizontal and stacked bars as well; <a href="https://stefaniemolin.com/articles/data-science/how-to-pivot-and-plot-data-with-pandas/">this article</a> shows how to make stacked horizontal bars using a pivot table.</li>
 <li>The <code>plot()</code> method takes a lot of <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.html">parameters</a>, many of which get passed down to Matplotlib; however, sometimes we need to use Matplotlib calls directly.</li>
 </ul>
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-<h3 id="Plotting-distributions">Plotting distributions<a class="anchor-link" href="#Plotting-distributions">&#182;</a></h3><p>Let's now compare the distribution of daily TSA traveler throughput across years. We will create a subplot for each year with both a histogram and a kernel density estimate (KDE) of the distribution.  Pandas has generated the <code>Figure</code> and <code>Axes</code> objects for both examples so far, but we can build custom layouts by creating them ourselves with Matplotlib using the <code>plt.subplots()</code> function. First, we will need to import the <code>pyplot</code> module:</p>
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_plotting-distributions" data-mime-type="text/markdown">
+<h3 id="Plotting-distributions">Plotting distributions<a class="anchor-link" href="#Plotting-distributions">¶</a></h3><p>Let's now compare the distribution of daily TSA traveler throughput across years. We will create a subplot for each year with both a histogram and a kernel density estimate (KDE) of the distribution.  Pandas has generated the <code>Figure</code> and <code>Axes</code> objects for both examples so far, but we can build custom layouts by creating them ourselves with Matplotlib using the <code>plt.subplots()</code> function. First, we will need to import the <code>pyplot</code> module:</p>
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[6]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [7]:</div>
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-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_subplots" data-mime-type="text/markdown">
 <p>While pandas lets us specify that we want subplots and their layout (with the <code>subplots</code> and <code>layout</code> parameters, respectively), using Matplotlib to create the subplots directly gives us additional flexibility:</p>
-
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[7]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [8]:</div>
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-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># define the subplot layout</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># define the subplot layout</span>
 <span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">sharex</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">sharey</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span>
 
 <span class="k">for</span> <span class="n">year</span><span class="p">,</span> <span class="n">ax</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">year</span><span class="o">.</span><span class="n">unique</span><span class="p">(),</span> <span class="n">axes</span><span class="p">):</span>
     <span class="n">plot_data</span> <span class="o">=</span> <span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="nb">str</span><span class="p">(</span><span class="n">year</span><span class="p">)]</span><span class="o">.</span><span class="n">travelers</span>
-    <span class="n">plot_data</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">&#39;hist&#39;</span><span class="p">,</span> <span class="n">legend</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">density</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.8</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">)</span>
-    <span class="n">plot_data</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">&#39;kde&#39;</span><span class="p">,</span> <span class="n">legend</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;blue&#39;</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">)</span>
-    <span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">year</span><span class="si">}</span><span class="s1"> TSA Traveler Throughput&#39;</span><span class="p">,</span> <span class="n">xlabel</span><span class="o">=</span><span class="s1">&#39;travelers&#39;</span><span class="p">)</span>
+    <span class="n">plot_data</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">'hist'</span><span class="p">,</span> <span class="n">legend</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">density</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.8</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">)</span>
+    <span class="n">plot_data</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">'kde'</span><span class="p">,</span> <span class="n">legend</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'blue'</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">)</span>
+    <span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="sa">f</span><span class="s1">'</span><span class="si">{</span><span class="n">year</span><span class="si">}</span><span class="s1"> TSA Traveler Throughput'</span><span class="p">,</span> <span class="n">xlabel</span><span class="o">=</span><span class="s1">'travelers'</span><span class="p">)</span>
 
 <span class="n">fig</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span> <span class="c1"># handle overlaps</span>
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-    <span class="n">plot_data</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">pivot</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="s1">&#39;year&#39;</span><span class="p">,</span> <span class="n">values</span><span class="o">=</span><span class="s1">&#39;travelers&#39;</span><span class="p">)</span>
-    <span class="n">ax</span> <span class="o">=</span> <span class="n">plot_data</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">&#39;box&#39;</span><span class="p">)</span>
-    <span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">xlabel</span><span class="o">=</span><span class="s1">&#39;year&#39;</span><span class="p">,</span> <span class="n">ylabel</span><span class="o">=</span><span class="s1">&#39;travelers&#39;</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="s1">&#39;TSA Traveler Throughput&#39;</span><span class="p">)</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">ex1</span><span class="p">():</span>
+    <span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">'../data/tsa_melted_holiday_travel.csv'</span><span class="p">)</span>
+    <span class="n">plot_data</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">pivot</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="s1">'year'</span><span class="p">,</span> <span class="n">values</span><span class="o">=</span><span class="s1">'travelers'</span><span class="p">)</span>
+    <span class="n">ax</span> <span class="o">=</span> <span class="n">plot_data</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">'box'</span><span class="p">)</span>
+    <span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">xlabel</span><span class="o">=</span><span class="s1">'year'</span><span class="p">,</span> <span class="n">ylabel</span><span class="o">=</span><span class="s1">'travelers'</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="s1">'TSA Traveler Throughput'</span><span class="p">)</span>
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     <span class="k">return</span> <span class="n">ax</span>
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-
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-
-</div></section><section >
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+</div>
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=36fc3626-0913-4fef-9472-1e4ad55d9fdb">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Finally, we call our function:</p>
-
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+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=939a3b91-652e-4653-93ea-326bf1bbd1b1">
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[10]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [11]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">ex1</span><span class="p">()</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">ex1</span><span class="p">()</span>
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-
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-
-
-
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-<pre>&lt;Axes: title={&#39;center&#39;: &#39;TSA Traveler Throughput&#39;}, xlabel=&#39;year&#39;, ylabel=&#39;travelers&#39;&gt;</pre>
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[11]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>&lt;Axes: title={'center': 'TSA Traveler Throughput'}, xlabel='year', ylabel='travelers'&gt;</pre>
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@@ -37648,4346 +17804,253 @@ <h3 id="Heatmaps">Heatmaps<a class="anchor-link" href="#Heatmaps">&#182;</a></h3
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-<h3 id="Exercise-3.2">Exercise 3.2<a class="anchor-link" href="#Exercise-3.2">&#182;</a></h3><h5 id="Using-the-TSA-traveler-throughput-data-in-the-tsa_melted_holiday_travel.csv-file,-create-a-heatmap-that-shows-the-2019-TSA-median-traveler-throughput-by-day-of-week-and-month.">Using the TSA traveler throughput data in the <code>tsa_melted_holiday_travel.csv</code> file, create a heatmap that shows the 2019 TSA median traveler throughput by day of week and month.<a class="anchor-link" href="#Using-the-TSA-traveler-throughput-data-in-the-tsa_melted_holiday_travel.csv-file,-create-a-heatmap-that-shows-the-2019-TSA-median-traveler-throughput-by-day-of-week-and-month.">&#182;</a></h5>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_exercise-3-2" data-mime-type="text/markdown">
+<h3 id="Exercise-3.2">Exercise 3.2<a class="anchor-link" href="#Exercise-3.2">¶</a></h3><h5 id="Using-the-TSA-traveler-throughput-data-in-the-tsa_melted_holiday_travel.csv-file,-create-a-heatmap-that-shows-the-2019-TSA-median-traveler-throughput-by-day-of-week-and-month.">Using the TSA traveler throughput data in the <code>tsa_melted_holiday_travel.csv</code> file, create a heatmap that shows the 2019 TSA median traveler throughput by day of week and month.<a class="anchor-link" href="#Using-the-TSA-traveler-throughput-data-in-the-tsa_melted_holiday_travel.csv-file,-create-a-heatmap-that-shows-the-2019-TSA-median-traveler-throughput-by-day-of-week-and-month.">¶</a></h5>
 </div>
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-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=2dd14e88-49a3-40b4-8626-e136d771d9c9">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_solution-3-2" data-mime-type="text/markdown">
-<h3 id="Solution">Solution<a class="anchor-link" href="#Solution">&#182;</a></h3>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_solution-3-2" data-mime-type="text/markdown">
+<h3 id="Solution">Solution<a class="anchor-link" href="#Solution">¶</a></h3>
 </div>
 </div>
 </div>
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=aa1dbda4-6e0a-4053-89a8-130456dae673">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>We start by reading in the data and handling imports:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=01bd0785-980f-4c6e-b174-71884010d2fe">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[14]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [15]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">calendar</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">calendar</span>
 
 <span class="kn">from</span> <span class="nn">matplotlib</span> <span class="kn">import</span> <span class="n">ticker</span>
 <span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
 <span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
 </pre></div>
-
-     </div>
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 </div>
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-
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div>
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=eeece664-21b9-4bdc-b469-2c91eafd0828">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Next, we write a function that will read in the data, create a pivot table, and visualize it as a heatmap:</p>
-
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 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=82672758-975f-4b76-82a5-1a4a323bbb17">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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 </div>
 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[15]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [16]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">ex2</span><span class="p">():</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">ex2</span><span class="p">():</span>
     <span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span>
-        <span class="s1">&#39;../data/tsa_melted_holiday_travel.csv&#39;</span><span class="p">,</span>
-        <span class="n">parse_dates</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">index_col</span><span class="o">=</span><span class="s1">&#39;date&#39;</span>
+        <span class="s1">'../data/tsa_melted_holiday_travel.csv'</span><span class="p">,</span>
+        <span class="n">parse_dates</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">index_col</span><span class="o">=</span><span class="s1">'date'</span>
     <span class="p">)</span>
-    <span class="n">plot_data</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">&#39;2019&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
+    <span class="n">plot_data</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">'2019'</span><span class="p">]</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
         <span class="n">day_of_week</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">dayofweek</span><span class="p">,</span> <span class="n">month</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">month</span>
     <span class="p">)</span><span class="o">.</span><span class="n">pivot_table</span><span class="p">(</span>
-        <span class="n">index</span><span class="o">=</span><span class="s1">&#39;day_of_week&#39;</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="s1">&#39;month&#39;</span><span class="p">,</span> <span class="n">values</span><span class="o">=</span><span class="s1">&#39;travelers&#39;</span><span class="p">,</span> <span class="n">aggfunc</span><span class="o">=</span><span class="s1">&#39;median&#39;</span>
+        <span class="n">index</span><span class="o">=</span><span class="s1">'day_of_week'</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="s1">'month'</span><span class="p">,</span> <span class="n">values</span><span class="o">=</span><span class="s1">'travelers'</span><span class="p">,</span> <span class="n">aggfunc</span><span class="o">=</span><span class="s1">'median'</span>
     <span class="p">)</span>
 
-    <span class="n">ax</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">heatmap</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">plot_data</span> <span class="o">/</span> <span class="mf">1e6</span><span class="p">,</span> <span class="n">annot</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">fmt</span><span class="o">=</span><span class="s1">&#39;.1f&#39;</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;Blues&#39;</span><span class="p">)</span>
+    <span class="n">ax</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">heatmap</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">plot_data</span> <span class="o">/</span> <span class="mf">1e6</span><span class="p">,</span> <span class="n">annot</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">fmt</span><span class="o">=</span><span class="s1">'.1f'</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Blues'</span><span class="p">)</span>
     <span class="n">ax</span><span class="o">.</span><span class="n">set_xticklabels</span><span class="p">(</span><span class="n">calendar</span><span class="o">.</span><span class="n">month_abbr</span><span class="p">[</span><span class="mi">1</span><span class="p">:])</span>
     <span class="n">ax</span><span class="o">.</span><span class="n">set_yticklabels</span><span class="p">(</span><span class="n">calendar</span><span class="o">.</span><span class="n">day_abbr</span><span class="p">,</span> <span class="n">rotation</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
-    <span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;2019 TSA Median Traveler Throughput</span><span class="se">\n</span><span class="s1">(in millions)&#39;</span><span class="p">)</span>
+    <span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'2019 TSA Median Traveler Throughput</span><span class="se">\n</span><span class="s1">(in millions)'</span><span class="p">)</span>
 
     <span class="k">return</span> <span class="n">ax</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div>
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=896e603f-8f02-4749-9d3a-46ae52c8311f">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Finally, we call our function:</p>
-
 </div>
 </div>
 </div>
-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell   ">
-<div class="jp-Cell-inputWrapper">
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=9667ee49-e475-464d-86ad-55d10ec9018b">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[16]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [17]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">ex2</span><span class="p">()</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">ex2</span><span class="p">()</span>
 </pre></div>
-
-     </div>
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 </div>
 </div>
-
+</div>
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-
-    <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[16]:</div>
-
-
-
-
-<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain">
-<pre>&lt;Axes: title={&#39;center&#39;: &#39;2019 TSA Median Traveler Throughput\n(in millions)&#39;}, xlabel=&#39;month&#39;, ylabel=&#39;day_of_week&#39;&gt;</pre>
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[17]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>&lt;Axes: title={'center': '2019 TSA Median Traveler Throughput\n(in millions)'}, xlabel='month', ylabel='day_of_week'&gt;</pre>
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 <li>Why is data visualization necessary?</li>
 <li>Plotting with pandas</li>
 <li>Plotting with Seaborn</li>
 <li><strong>Customizing plots with Matplotlib</strong></li>
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-<h3 id="Adding-shaded-regions">Adding shaded regions<a class="anchor-link" href="#Adding-shaded-regions">&#182;</a></h3><p>When looking at a plot of TSA traveler throughput over time, it's helpful to indicate periods during which there was holiday travel. We can do so with the <code>axvspan()</code> method:</p>
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+<h3 id="Adding-shaded-regions">Adding shaded regions<a class="anchor-link" href="#Adding-shaded-regions">¶</a></h3><p>When looking at a plot of TSA traveler throughput over time, it's helpful to indicate periods during which there was holiday travel. We can do so with the <code>axvspan()</code> method:</p>
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+<div class="jp-InputPrompt jp-InputArea-prompt">In [18]:</div>
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-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plot_data</span> <span class="o">=</span> <span class="n">tsa_melted_holiday_travel</span><span class="p">[</span><span class="s1">&#39;2019-05&#39;</span><span class="p">:</span><span class="s1">&#39;2019-11&#39;</span><span class="p">]</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">plot_data</span> <span class="o">=</span> <span class="n">tsa_melted_holiday_travel</span><span class="p">[</span><span class="s1">'2019-05'</span><span class="p">:</span><span class="s1">'2019-11'</span><span class="p">]</span>
 <span class="n">ax</span> <span class="o">=</span> <span class="n">plot_data</span><span class="o">.</span><span class="n">travelers</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span>
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+    <span class="n">title</span><span class="o">=</span><span class="s1">'TSA Traveler Throughput'</span><span class="p">,</span> <span class="n">ylabel</span><span class="o">=</span><span class="s1">'travelers'</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">9</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
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 <span class="n">ax</span><span class="o">.</span><span class="n">yaxis</span><span class="o">.</span><span class="n">set_major_formatter</span><span class="p">(</span><span class="n">ticker</span><span class="o">.</span><span class="n">EngFormatter</span><span class="p">())</span>
 
 <span class="c1"># collect the holiday ranges (start and end dates)</span>
 <span class="n">holiday_ranges</span> <span class="o">=</span> <span class="n">plot_data</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>\
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+    <span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">'holiday'</span><span class="p">)</span><span class="o">.</span><span class="n">agg</span><span class="p">({</span><span class="s1">'date'</span><span class="p">:</span> <span class="p">[</span><span class="s1">'min'</span><span class="p">,</span> <span class="s1">'max'</span><span class="p">]})</span>
 
 <span class="c1"># create shaded regions for each holiday in the plot</span>
 <span class="k">for</span> <span class="n">start_date</span><span class="p">,</span> <span class="n">end_date</span> <span class="ow">in</span> <span class="n">holiday_ranges</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">():</span>
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+    <span class="n">ax</span><span class="o">.</span><span class="n">axvspan</span><span class="p">(</span><span class="n">start_date</span><span class="p">,</span> <span class="n">end_date</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'gray'</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.2</span><span class="p">)</span>
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 <p><em>Tip: Use <code>axhspan()</code> for horizontally shaded regions and <code>axvline()</code> / <code>axhline()</code> for vertical/horizontal reference lines.</em></p>
-
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-</div></section><section >
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-<div class="jp-Cell-inputWrapper">
+</div></section><section>
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_adding-annotations" data-mime-type="text/markdown">
-<h3 id="Adding-annotations">Adding annotations<a class="anchor-link" href="#Adding-annotations">&#182;</a></h3><p>We can use the <code>annotate()</code> method to add annotations to the plot. Here, we point out the day in 2019 with the highest TSA traveler throughput, which was the day after Thanksgiving:</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_adding-annotations" data-mime-type="text/markdown">
+<h3 id="Adding-annotations">Adding annotations<a class="anchor-link" href="#Adding-annotations">¶</a></h3><p>We can use the <code>annotate()</code> method to add annotations to the plot. Here, we point out the day in 2019 with the highest TSA traveler throughput, which was the day after Thanksgiving:</p>
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[18]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [19]:</div>
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-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plot_data</span> <span class="o">=</span> <span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">&#39;2019&#39;</span><span class="p">]</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">plot_data</span> <span class="o">=</span> <span class="n">tsa_melted_holiday_travel</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">'2019'</span><span class="p">]</span>
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+    <span class="n">title</span><span class="o">=</span><span class="s1">'TSA Traveler Throughput'</span><span class="p">,</span> <span class="n">ylabel</span><span class="o">=</span><span class="s1">'travelers'</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">9</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
 <span class="p">)</span>
 <span class="n">ax</span><span class="o">.</span><span class="n">yaxis</span><span class="o">.</span><span class="n">set_major_formatter</span><span class="p">(</span><span class="n">ticker</span><span class="o">.</span><span class="n">EngFormatter</span><span class="p">())</span>
 
@@ -41995,2027 +18058,132 @@ <h3 id="Adding-annotations">Adding annotations<a class="anchor-link" href="#Addi
 <span class="n">max_throughput_date</span> <span class="o">=</span> <span class="n">plot_data</span><span class="o">.</span><span class="n">travelers</span><span class="o">.</span><span class="n">idxmax</span><span class="p">()</span>
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+    <span class="sa">f</span><span class="s1">'</span><span class="si">{</span><span class="n">max_throughput_date</span><span class="si">:</span><span class="s1">%b %d</span><span class="si">}</span><span class="se">\n</span><span class="s1">(</span><span class="si">{</span><span class="n">max_throughput</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="mf">1e6</span><span class="si">:</span><span class="s1">.2f</span><span class="si">}</span><span class="s1"> M)'</span><span class="p">,</span>
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+    <span class="n">arrowprops</span><span class="o">=</span><span class="p">{</span><span class="s1">'arrowstyle'</span><span class="p">:</span> <span class="s1">'-&gt;'</span><span class="p">},</span> <span class="n">ha</span><span class="o">=</span><span class="s1">'center'</span>
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+</div></section><section>
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Some things to keep in mind:</p>
 <ul>
 <li>We used <code>Axes</code> methods to customize our plots (i.e., an object-oriented approach), but the <code>pyplot</code> module provides equivalent functions (i.e., a functional approach) for adding shaded regions, reference lines, annotations, etc. – although the function names might be slightly different than their <code>Axes</code> method counterparts (e.g., <code>Axes.set_xlabel()</code> vs. <code>plt.xlabel()</code>).</li>
 <li>In general, try to stick to either the object-oriented or functional approach rather than mixing the two. However, be careful when working with subplots – <code>pyplot</code> functions will only affect the last subplot.</li>
 <li>The <a href="https://matplotlib.org/stable/gallery/showcase/anatomy.html">anatomy of a figure</a> diagram in the Matplotlib documentation is a great resource for identifying which objects you will need to access for plot customizations.</li>
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-
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>For more on data visualization in Python, including animations and interactive plots, check out my <a href="https://stefaniemolin.com/workshops/python-data-viz-workshop/">Beyond the Basics: Data Visualization in Python</a> workshop.</p>
-
 </div>
 </div>
 </div>
-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=6bb88a0e-0580-435b-92fa-07ce0800a61b">
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-<h3 id="Exercise-3.3">Exercise 3.3<a class="anchor-link" href="#Exercise-3.3">&#182;</a></h3><h5 id="Annotate-the-medians-in-the-box-plot-from-Exercise-3.1.-Hint:-The-x-coordinates-will-be-1,-2,-and-3-for-2019,-2020,-and-2021,-respectively.-Alternatively,-to-avoid-hardcoding-values,-you-can-use-the-Axes.get_xticklabels()-method,-in-which-case-you-should-look-at-the-documentation-for-the-Text-class.">Annotate the medians in the box plot from <em><a href="#/exercise-3-1">Exercise 3.1</a></em>. Hint: The <code>x</code> coordinates will be 1, 2, and 3 for 2019, 2020, and 2021, respectively. Alternatively, to avoid hardcoding values, you can use the <code>Axes.get_xticklabels()</code> method, in which case you should look at the <a href="https://matplotlib.org/stable/api/text_api.html">documentation</a> for the <code>Text</code> class.<a class="anchor-link" href="#Annotate-the-medians-in-the-box-plot-from-Exercise-3.1.-Hint:-The-x-coordinates-will-be-1,-2,-and-3-for-2019,-2020,-and-2021,-respectively.-Alternatively,-to-avoid-hardcoding-values,-you-can-use-the-Axes.get_xticklabels()-method,-in-which-case-you-should-look-at-the-documentation-for-the-Text-class.">&#182;</a></h5>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_exercise-3-3" data-mime-type="text/markdown">
+<h3 id="Exercise-3.3">Exercise 3.3<a class="anchor-link" href="#Exercise-3.3">¶</a></h3><h5 id="Annotate-the-medians-in-the-box-plot-from-Exercise-3.1.-Hint:-The-x-coordinates-will-be-1,-2,-and-3-for-2019,-2020,-and-2021,-respectively.-Alternatively,-to-avoid-hardcoding-values,-you-can-use-the-Axes.get_xticklabels()-method,-in-which-case-you-should-look-at-the-documentation-for-the-Text-class.">Annotate the medians in the box plot from <em><a href="#/exercise-3-1">Exercise 3.1</a></em>. Hint: The <code>x</code> coordinates will be 1, 2, and 3 for 2019, 2020, and 2021, respectively. Alternatively, to avoid hardcoding values, you can use the <code>Axes.get_xticklabels()</code> method, in which case you should look at the <a href="https://matplotlib.org/stable/api/text_api.html">documentation</a> for the <code>Text</code> class.<a class="anchor-link" href="#Annotate-the-medians-in-the-box-plot-from-Exercise-3.1.-Hint:-The-x-coordinates-will-be-1,-2,-and-3-for-2019,-2020,-and-2021,-respectively.-Alternatively,-to-avoid-hardcoding-values,-you-can-use-the-Axes.get_xticklabels()-method,-in-which-case-you-should-look-at-the-documentation-for-the-Text-class.">¶</a></h5>
 </div>
 </div>
 </div>
-</div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=7db363f8-671e-4b28-945c-e2daf0764527">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_solution-3-3" data-mime-type="text/markdown">
-<h3 id="Solution">Solution<a class="anchor-link" href="#Solution">&#182;</a></h3>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_solution-3-3" data-mime-type="text/markdown">
+<h3 id="Solution">Solution<a class="anchor-link" href="#Solution">¶</a></h3>
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 </div>
 </div>
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=a4659ab0-a4bc-4631-a930-fcda943d729f">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>First, we modify the <code>return</code> statement from the solution to <em>Exercise 3.1</em> to also give us the data:</p>
-
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+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=bc5dbd63-4182-4c18-b94c-17bc8c8cd81a">
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 <div class="jp-InputArea jp-Cell-inputArea">
-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[19]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [20]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">matplotlib</span> <span class="kn">import</span> <span class="n">ticker</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">matplotlib</span> <span class="kn">import</span> <span class="n">ticker</span>
 <span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
 
 
 <span class="k">def</span> <span class="nf">ex1</span><span class="p">():</span>
-    <span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;../data/tsa_melted_holiday_travel.csv&#39;</span><span class="p">)</span>
-    <span class="n">plot_data</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">pivot</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="s1">&#39;year&#39;</span><span class="p">,</span> <span class="n">values</span><span class="o">=</span><span class="s1">&#39;travelers&#39;</span><span class="p">)</span>
-    <span class="n">ax</span> <span class="o">=</span> <span class="n">plot_data</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">&#39;box&#39;</span><span class="p">)</span>
-    <span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">xlabel</span><span class="o">=</span><span class="s1">&#39;year&#39;</span><span class="p">,</span> <span class="n">ylabel</span><span class="o">=</span><span class="s1">&#39;travelers&#39;</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="s1">&#39;TSA Traveler Throughput&#39;</span><span class="p">)</span>
+    <span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">'../data/tsa_melted_holiday_travel.csv'</span><span class="p">)</span>
+    <span class="n">plot_data</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">pivot</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="s1">'year'</span><span class="p">,</span> <span class="n">values</span><span class="o">=</span><span class="s1">'travelers'</span><span class="p">)</span>
+    <span class="n">ax</span> <span class="o">=</span> <span class="n">plot_data</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">'box'</span><span class="p">)</span>
+    <span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">xlabel</span><span class="o">=</span><span class="s1">'year'</span><span class="p">,</span> <span class="n">ylabel</span><span class="o">=</span><span class="s1">'travelers'</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="s1">'TSA Traveler Throughput'</span><span class="p">)</span>
     <span class="n">ax</span><span class="o">.</span><span class="n">yaxis</span><span class="o">.</span><span class="n">set_major_formatter</span><span class="p">(</span><span class="n">ticker</span><span class="o">.</span><span class="n">EngFormatter</span><span class="p">())</span>
     <span class="k">return</span> <span class="n">ax</span><span class="p">,</span> <span class="n">plot_data</span>
 </pre></div>
-
-     </div>
 </div>
 </div>
 </div>
-
-</div></div></section><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div>
+</div></div></section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=d491bf58-d006-4b61-96a5-2e45b0d8e78e">
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
 <p>Now, we can build upon <code>ex1()</code> in a new function:</p>
-
 </div>
 </div>
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-</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  ">
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[20]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [21]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">ex3</span><span class="p">():</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">ex3</span><span class="p">():</span>
     <span class="n">ax</span><span class="p">,</span> <span class="n">plot_data</span> <span class="o">=</span> <span class="n">ex1</span><span class="p">()</span>
 
     <span class="c1"># add annotations</span>
@@ -44023,1294 +18191,185 @@ <h3 id="Solution">Solution<a class="anchor-link" href="#Solution">&#182;</a></h3
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         <span class="n">median</span> <span class="o">=</span> <span class="n">medians</span><span class="p">[</span><span class="nb">int</span><span class="p">(</span><span class="n">tick_label</span><span class="o">.</span><span class="n">get_text</span><span class="p">())]</span>
         <span class="n">ax</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span>
-            <span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">median</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="mf">1e6</span><span class="si">:</span><span class="s1">.1f</span><span class="si">}</span><span class="s1"> M&#39;</span><span class="p">,</span> 
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+            <span class="sa">f</span><span class="s1">'</span><span class="si">{</span><span class="n">median</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="mf">1e6</span><span class="si">:</span><span class="s1">.1f</span><span class="si">}</span><span class="s1"> M'</span><span class="p">,</span>
+            <span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="n">tick_label</span><span class="o">.</span><span class="n">get_position</span><span class="p">()[</span><span class="mi">0</span><span class="p">],</span> <span class="n">median</span><span class="p">),</span>
+            <span class="n">ha</span><span class="o">=</span><span class="s1">'center'</span><span class="p">,</span> <span class="n">va</span><span class="o">=</span><span class="s1">'bottom'</span>
         <span class="p">)</span>
-    
+
     <span class="k">return</span> <span class="n">ax</span>
 </pre></div>
-
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-
-</div></section><section >
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+</div>
+</div></section><section>
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 <p>Calling our function returns an annotated version of the plot from <em>Exercise 3.1</em>:</p>
-
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-<div class="jp-InputPrompt jp-InputArea-prompt">In&nbsp;[21]:</div>
+<div class="jp-InputPrompt jp-InputArea-prompt">In [22]:</div>
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-     <div class="CodeMirror cm-s-jupyter">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">ex3</span><span class="p">()</span>
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">ex3</span><span class="p">()</span>
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-<pre>&lt;Axes: title={&#39;center&#39;: &#39;TSA Traveler Throughput&#39;}, xlabel=&#39;year&#39;, ylabel=&#39;travelers&#39;&gt;</pre>
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+<pre>&lt;Axes: title={'center': 'TSA Traveler Throughput'}, xlabel='year', ylabel='travelers'&gt;</pre>
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+</div>
+</div></section></section><section><section>
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-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<h2 id="Section-3-Complete-%F0%9F%8E%89">Section 3 Complete &#127881;<a class="anchor-link" href="#Section-3-Complete-%F0%9F%8E%89">&#182;</a></h2><img width="20%" src="https://www.pngkey.com/png/detail/329-3295731_panda-hug-drawing-panda-hug-png.png" alt="Panda Hug Drawing - Panda Hug Png@pngkey.com" style="min-width: 200px">
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Section-3-Complete-%F0%9F%8E%89">Section 3 Complete 🎉<a class="anchor-link" href="#Section-3-Complete-%F0%9F%8E%89">¶</a></h2><img alt="Panda Hug Drawing - Panda Hug Png@pngkey.com" src="https://www.pngkey.com/png/detail/329-3295731_panda-hug-drawing-panda-hug-png.png" style="min-width: 200px" width="20%"/>
 </div>
 </div>
 </div>
-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=cd969b0d-8764-468e-9ab1-0e7aabbdfa1b">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_section-4" data-mime-type="text/markdown">
-<h1 id="Section-4:-Hands-On-Data-Analysis-Lab">Section 4: Hands-On Data Analysis Lab<a class="anchor-link" href="#Section-4:-Hands-On-Data-Analysis-Lab">&#182;</a></h1><p>We will practice all that you’ve learned in a hands-on lab. This section features a set of analysis tasks that provide opportunities to apply the material from the previous sections.</p>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_section-4" data-mime-type="text/markdown">
+<h1 id="Section-4:-Hands-On-Data-Analysis-Lab">Section 4: Hands-On Data Analysis Lab<a class="anchor-link" href="#Section-4:-Hands-On-Data-Analysis-Lab">¶</a></h1><p>We will practice all that you’ve learned in a hands-on lab. This section features a set of analysis tasks that provide opportunities to apply the material from the previous sections.</p>
 <div style="text-align: center;">
-<img width="20%" src="https://www.pngkey.com/png/detail/102-1027124_animals-pandas-panda-transparent-background.png" alt="Animals - Pandas - Panda Transparent Background@pngkey.com" style="min-width: 200px">
+<img alt="Animals - Pandas - Panda Transparent Background@pngkey.com" src="https://www.pngkey.com/png/detail/102-1027124_animals-pandas-panda-transparent-background.png" style="min-width: 200px" width="20%"/>
 </div>
-
 </div>
 </div>
 </div>
-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=7e2335f9-c4d8-4fa8-bbe1-eeabf813234e">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<h2 id="Lab-Tasks">Lab Tasks<a class="anchor-link" href="#Lab-Tasks">&#182;</a></h2><p><a href="https://forms.gle/wnyDZwCjgvn9fuHK9">This</a> Google form contains all the tasks for this lab. You can submit as many times as you wish, and you will be able to see which questions you got wrong (if any).</p>
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Lab-Tasks">Lab Tasks<a class="anchor-link" href="#Lab-Tasks">¶</a></h2><p><a href="https://forms.gle/wnyDZwCjgvn9fuHK9">This</a> Google form contains all the tasks for this lab. You can submit as many times as you wish, and you will be able to see which questions you got wrong (if any).</p>
 </div>
 </div>
 </div>
-</div><div class="fragment" >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div><div class="fragment">
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=18ff7cfd-ab75-4858-a1e5-1ea8613d545b">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<h4 id="Important-notes:">Important notes:<a class="anchor-link" href="#Important-notes:">&#182;</a></h4><ul>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h4 id="Important-notes:">Important notes:<a class="anchor-link" href="#Important-notes:">¶</a></h4><ul>
 <li>You don't have to answer all the questions to submit.</li>
 <li>There are likely more questions than you will have time to answer, so be sure to submit before the session ends.</li>
 </ul>
-
 </div>
 </div>
 </div>
-</div></div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=87f2f8d9-4f35-431a-abcd-a0819e4fc47c">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput " data-mime-type="text/markdown">
-<h2 id="Section-4-Complete-%F0%9F%8E%89">Section 4 Complete &#127881;<a class="anchor-link" href="#Section-4-Complete-%F0%9F%8E%89">&#182;</a></h2><img width="30%" src="https://www.pngkey.com/png/detail/246-2469554_panda-anime-png-png-panda.png" alt="Panda Anime Png - Png Panda@pngkey.com" style="min-width: 300px">
-
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Section-4-Complete-%F0%9F%8E%89">Section 4 Complete 🎉<a class="anchor-link" href="#Section-4-Complete-%F0%9F%8E%89">¶</a></h2><img alt="Panda Anime Png - Png Panda@pngkey.com" src="https://www.pngkey.com/png/detail/246-2469554_panda-anime-png-png-panda.png" style="min-width: 300px" width="30%"/>
 </div>
 </div>
 </div>
-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=d8eb612f-36d3-4935-ac0d-fb22911881d4">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_related-content" data-mime-type="text/markdown">
-<h1 id="Related-content">Related content<a class="anchor-link" href="#Related-content">&#182;</a></h1><p><em>All examples herein were developed exclusively for this workshop – check out <a href="https://www.amazon.com/Hands-Data-Analysis-Pandas-visualization-dp-1800563450/dp/1800563450/">Hands-On Data Analysis with Pandas</a> and my <a href="https://stefaniemolin.com/workshops/python-data-viz-workshop/">Beyond the Basics: Data Visualization in Python</a> workshop for more.</em></p>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_related-content" data-mime-type="text/markdown">
+<h1 id="Related-content">Related content<a class="anchor-link" href="#Related-content">¶</a></h1><p><em>All examples herein were developed exclusively for this workshop – check out <a href="https://www.amazon.com/Hands-Data-Analysis-Pandas-visualization-dp-1800563450/dp/1800563450/">Hands-On Data Analysis with Pandas</a> and my <a href="https://stefaniemolin.com/workshops/python-data-viz-workshop/">Beyond the Basics: Data Visualization in Python</a> workshop for more.</em></p>
 <div style="text-align: center;">
-    <img width="20%" src="https://raw.githubusercontent.com/stefmolin/Hands-On-Data-Analysis-with-Pandas-2nd-edition/master/_img/pandas_drawing.PNG" style="min-width: 200px">
-    <div><small>
-        <a href="https://stefaniemolin.com">stefaniemolin.com</a>
-    </small></div>
+<img alt="No description has been provided for this image" src="https://raw.githubusercontent.com/stefmolin/Hands-On-Data-Analysis-with-Pandas-2nd-edition/master/_img/pandas_drawing.PNG" style="min-width: 200px" width="20%"/>
+<div><small>
+<a href="https://stefaniemolin.com">stefaniemolin.com</a>
+</small></div>
 </div>
-
 </div>
 </div>
 </div>
-</div></section></section><section ><section >
-<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
-<div class="jp-Cell-inputWrapper">
+</div></section></section><section><section>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=cd8d474a-0d3a-4387-b726-dea2df655ce1">
+<div class="jp-Cell-inputWrapper" tabindex="0">
 <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
 </div>
 <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
-</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput  celltag_id_fin" data-mime-type="text/markdown">
-<h1 id="Thank-you!">Thank you!<a class="anchor-link" href="#Thank-you!">&#182;</a></h1><p><em>I hope you enjoyed the session. You can follow my work on the following platforms:</em></p>
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput celltag_id_fin" data-mime-type="text/markdown">
+<h1 id="Thank-you!">Thank you!<a class="anchor-link" href="#Thank-you!">¶</a></h1><p><em>I hope you enjoyed the session. You can follow my work on the following platforms:</em></p>
 <div style="display: flex; justify-content: space-between; align-items: center;">
-    <div style="text-align: center; flex-basis: auto; flex-shrink: 2;">
-        <img class="qr-code" width="20%" src="https://raw.githubusercontent.com/stefmolin/pandas-workshop/main/media/qr-code.png">
-    </div>
-  <div style="flex-basis: 45em; flex-grow: 2; font-size: 80%;">
-    <div style="display: flex; justify-content: flex-start; align-items: center;">
-      <i class="fa fa-globe fa-2x fa-fw" style="padding-right: 4px"></i>
-      <a href="https://stefaniemolin.com" rel="noopener noreferrer" style="font-size: 2em;">
+<div style="text-align: center; flex-basis: auto; flex-shrink: 2;">
+<img alt="No description has been provided for this image" class="qr-code" src="https://raw.githubusercontent.com/stefmolin/pandas-workshop/main/media/qr-code.png" width="20%"/>
+</div>
+<div style="flex-basis: 45em; flex-grow: 2; font-size: 80%;">
+<div style="display: flex; justify-content: flex-start; align-items: center;">
+<i class="fa fa-globe fa-2x fa-fw" style="padding-right: 4px"></i>
+<a href="https://stefaniemolin.com" rel="noopener noreferrer" style="font-size: 2em;">
         stefaniemolin.com
       </a>
-    </div>
-  <div style="display: flex; justify-content: flex-start; align-items: center;">
-    <i class="fab fa-github fa-2x fa-fw" style="padding-right: 4px"></i>
-    <a href="https://github.com/stefmolin" rel="noopener noreferrer" style="font-size: 2em;" target="_blank">
+</div>
+<div style="display: flex; justify-content: flex-start; align-items: center;">
+<i class="fab fa-github fa-2x fa-fw" style="padding-right: 4px"></i>
+<a href="https://github.com/stefmolin" rel="noopener noreferrer" style="font-size: 2em;" target="_blank">
       github.com/stefmolin
     </a>
-  </div>
-  <div style="display: flex; justify-content: flex-start; align-items: center;">
-    <i class="fab fa-twitter fa-2x fa-fw" style="padding-right: 4px"></i>
-    <a href="https://twitter.com/StefanieMolin" rel="noopener noreferrer" style="font-size: 2em;" target="_blank">
+</div>
+<div style="display: flex; justify-content: flex-start; align-items: center;">
+<i class="fab fa-twitter fa-2x fa-fw" style="padding-right: 4px"></i>
+<a href="https://twitter.com/StefanieMolin" rel="noopener noreferrer" style="font-size: 2em;" target="_blank">
       twitter.com/StefanieMolin
     </a>
-  </div>
-  <div style="display: flex; justify-content: flex-start; align-items: center;">
-    <i class="fab fa-linkedin-in fa-2x fa-fw" style="padding-right: 4px"></i>
-    <a href="https://linkedin.com/in/stefanie-molin" rel="noopener noreferrer" style="font-size: 2em;" target="_blank">
+</div>
+<div style="display: flex; justify-content: flex-start; align-items: center;">
+<i class="fab fa-linkedin-in fa-2x fa-fw" style="padding-right: 4px"></i>
+<a href="https://linkedin.com/in/stefanie-molin" rel="noopener noreferrer" style="font-size: 2em;" target="_blank">
       linkedin.com/in/stefanie-molin
     </a>
-  </div>
 </div>
 </div>
-
+</div>
 </div>
 </div>
 </div>
 </div></section></section>
 </div>
 </div>
-</body>
-
-
-
-
-
-
 
+</body>
 <script>
 require(
     {
@@ -45321,7 +18380,7 @@ <h1 id="Thank-you!">Thank you!<a class="anchor-link" href="#Thank-you!">&#182;</
     [
       "https://unpkg.com/reveal.js@4.0.2/dist/reveal.js",
       "https://unpkg.com/reveal.js@4.0.2/plugin/notes/notes.js",
-      "https://cdn.jsdelivr.net/npm/luxon@3.2.1/build/global/luxon.min.js"
+      "https://cdn.jsdelivr.net/npm/luxon@3.4.4/build/global/luxon.min.js"
     ],
 
     function(Reveal, RevealNotes){
@@ -45587,5 +18646,4 @@ <h1 id="Thank-you!">Thank you!<a class="anchor-link" href="#Thank-you!">&#182;</
     }
 );
 </script>
-
 </html>
diff --git a/slides/templates/larger_font/index.html.j2 b/slides/templates/larger_font/index.html.j2
index fa45aa3..2747dcb 100644
--- a/slides/templates/larger_font/index.html.j2
+++ b/slides/templates/larger_font/index.html.j2
@@ -264,7 +264,7 @@ require(
     [
       "{{ reveal_url_prefix }}/dist/reveal.js",
       "{{ reveal_url_prefix }}/plugin/notes/notes.js",
-      "https://cdn.jsdelivr.net/npm/luxon@3.2.1/build/global/luxon.min.js"
+      "https://cdn.jsdelivr.net/npm/luxon@3.4.4/build/global/luxon.min.js"
     ],
 
     function(Reveal, RevealNotes){
diff --git a/slides/templates/regular/index.html.j2 b/slides/templates/regular/index.html.j2
index e194363..bc6d00b 100644
--- a/slides/templates/regular/index.html.j2
+++ b/slides/templates/regular/index.html.j2
@@ -260,7 +260,7 @@ require(
     [
       "{{ reveal_url_prefix }}/dist/reveal.js",
       "{{ reveal_url_prefix }}/plugin/notes/notes.js",
-      "https://cdn.jsdelivr.net/npm/luxon@3.2.1/build/global/luxon.min.js"
+      "https://cdn.jsdelivr.net/npm/luxon@3.4.4/build/global/luxon.min.js"
     ],
 
     function(Reveal, RevealNotes){
diff --git a/slides/utils.py b/slides/utils.py
index c13dcf4..ba6875e 100644
--- a/slides/utils.py
+++ b/slides/utils.py
@@ -2,6 +2,8 @@
 
 import datetime as dt
 
+import pandas as pd
+
 
 def mpl_svg_config(hashsalt):
     """Help configure the SVG backend for Matplotlib and make it reproducible."""
@@ -13,3 +15,32 @@ def mpl_svg_config(hashsalt):
             'Date': f'(c) 2021-{dt.date.today().year} Stefanie Molin'
         }
     }
+
+def highlight_long_format(df, colors):
+    """Highlight long format columns in the data."""
+
+    def get_style(x):
+        if color := colors.get(x):
+            return f'background-color: {color}'
+        return None
+
+    def highlight_column(x):
+        return [get_style(x.name)] * x.shape[0]
+
+    return df.style\
+        .apply_index(lambda x: x.apply(get_style), axis=1)\
+        .apply(highlight_column, axis=0)
+
+def highlight_wide_format(df, colors):
+    """Highlight wide format columns in the melted data."""
+
+    def highlight_melt(x):
+        color = colors[x.year]
+        return [f"background-color: {color};"] * 2
+
+    return df.melt(id_vars='date', var_name='year', value_name='travelers')\
+        .assign(
+            date=lambda x: pd.to_datetime(x.year + x.date.dt.strftime('-%m-%d'))
+        )\
+        .sort_values('date', ascending=False)\
+        .style.apply(highlight_melt, subset=['year', 'travelers'], axis=1)