diff --git a/ATUS_Analysis.ipynb b/ATUS_Analysis.ipynb
new file mode 100644
index 0000000..c60ded6
--- /dev/null
+++ b/ATUS_Analysis.ipynb
@@ -0,0 +1,1750 @@
+{
+ "metadata": {
+  "name": "",
+  "signature": "sha256:f63adf7db520b5f2de1ed0fe64b8114c533ffa1d3837890db16fe1917a503f82"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import pandas as pd\n",
+      "import re\n",
+      "import matplotlib.pyplot as plt\n",
+      "import seaborn\n",
+      "import numpy as np"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 63
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.rc('figure', figsize=(16, 6))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 64
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%matplotlib inline"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 65
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "summary = pd.read_csv(\"atusdata/atussum_2013/atussum_2013.dat\")\n",
+      "summary.info()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "<class 'pandas.core.frame.DataFrame'>\n",
+        "Int64Index: 11385 entries, 0 to 11384\n",
+        "Columns: 413 entries, tucaseid to t500107\n",
+        "dtypes: float64(1), int64(412)\n",
+        "memory usage: 36.0 MB\n"
+       ]
+      }
+     ],
+     "prompt_number": 66
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "summary.head()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "html": [
+        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+        "<table border=\"1\" class=\"dataframe\">\n",
+        "  <thead>\n",
+        "    <tr style=\"text-align: right;\">\n",
+        "      <th></th>\n",
+        "      <th>tucaseid</th>\n",
+        "      <th>TUFINLWGT</th>\n",
+        "      <th>TRYHHCHILD</th>\n",
+        "      <th>TEAGE</th>\n",
+        "      <th>TESEX</th>\n",
+        "      <th>PEEDUCA</th>\n",
+        "      <th>PTDTRACE</th>\n",
+        "      <th>PEHSPNON</th>\n",
+        "      <th>GTMETSTA</th>\n",
+        "      <th>TELFS</th>\n",
+        "      <th>...</th>\n",
+        "      <th>t181501</th>\n",
+        "      <th>t181599</th>\n",
+        "      <th>t181601</th>\n",
+        "      <th>t181801</th>\n",
+        "      <th>t189999</th>\n",
+        "      <th>t500101</th>\n",
+        "      <th>t500103</th>\n",
+        "      <th>t500105</th>\n",
+        "      <th>t500106</th>\n",
+        "      <th>t500107</th>\n",
+        "    </tr>\n",
+        "  </thead>\n",
+        "  <tbody>\n",
+        "    <tr>\n",
+        "      <th>0</th>\n",
+        "      <td> 20130101130004</td>\n",
+        "      <td> 11899905.662034</td>\n",
+        "      <td> 12</td>\n",
+        "      <td> 22</td>\n",
+        "      <td> 2</td>\n",
+        "      <td> 40</td>\n",
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+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>1</th>\n",
+        "      <td> 20130101130112</td>\n",
+        "      <td>  4447638.009513</td>\n",
+        "      <td>  1</td>\n",
+        "      <td> 39</td>\n",
+        "      <td> 1</td>\n",
+        "      <td> 43</td>\n",
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+        "      <td> 2</td>\n",
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+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>2</th>\n",
+        "      <td> 20130101130123</td>\n",
+        "      <td> 10377056.507734</td>\n",
+        "      <td> -1</td>\n",
+        "      <td> 47</td>\n",
+        "      <td> 2</td>\n",
+        "      <td> 40</td>\n",
+        "      <td> 1</td>\n",
+        "      <td> 2</td>\n",
+        "      <td> 1</td>\n",
+        "      <td> 4</td>\n",
+        "      <td>...</td>\n",
+        "      <td> 25</td>\n",
+        "      <td> 0</td>\n",
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+        "      <td> 0</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>3</th>\n",
+        "      <td> 20130101130611</td>\n",
+        "      <td>  7731257.992805</td>\n",
+        "      <td> -1</td>\n",
+        "      <td> 50</td>\n",
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+        "      <td> 40</td>\n",
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+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>4</th>\n",
+        "      <td> 20130101130616</td>\n",
+        "      <td>  4725269.227067</td>\n",
+        "      <td> -1</td>\n",
+        "      <td> 45</td>\n",
+        "      <td> 2</td>\n",
+        "      <td> 40</td>\n",
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+        "    </tr>\n",
+        "  </tbody>\n",
+        "</table>\n",
+        "<p>5 rows \u00d7 413 columns</p>\n",
+        "</div>"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 67,
+       "text": [
+        "         tucaseid        TUFINLWGT  TRYHHCHILD  TEAGE  TESEX  PEEDUCA  \\\n",
+        "0  20130101130004  11899905.662034          12     22      2       40   \n",
+        "1  20130101130112   4447638.009513           1     39      1       43   \n",
+        "2  20130101130123  10377056.507734          -1     47      2       40   \n",
+        "3  20130101130611   7731257.992805          -1     50      2       40   \n",
+        "4  20130101130616   4725269.227067          -1     45      2       40   \n",
+        "\n",
+        "   PTDTRACE  PEHSPNON  GTMETSTA  TELFS   ...     t181501  t181599  t181601  \\\n",
+        "0         8         2         1      5   ...           0        0        0   \n",
+        "1         1         2         1      1   ...           0        0        0   \n",
+        "2         1         2         1      4   ...          25        0        0   \n",
+        "3         1         1         1      1   ...           0        0        0   \n",
+        "4         2         2         1      1   ...           0        0        0   \n",
+        "\n",
+        "   t181801  t189999  t500101  t500103  t500105  t500106  t500107  \n",
+        "0        0        0        0        0        0        0        0  \n",
+        "1        0        0        0        0        0        0        0  \n",
+        "2        0        0        0        0        0        0        0  \n",
+        "3        0        0        0        0        0        0        0  \n",
+        "4        0        0        0        0        0        0        0  \n",
+        "\n",
+        "[5 rows x 413 columns]"
+       ]
+      }
+     ],
+     "prompt_number": 67
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "summary =summary.replace(-1, np.nan)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 68
+    },
+    {
+     "cell_type": "heading",
+     "level": 6,
+     "metadata": {},
+     "source": [
+      "Setting up some initial criteria from the larger sample:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "adults_crit = (summary.TEAGE >= 18)\n",
+      "no_children_crit = (summary.TRCHILDNUM == 0)\n",
+      "men_crit = (summary.TESEX == 1)\n",
+      "has_partner = (summary.TRSPPRES <= 2)\n",
+      "has_job = (summary.TELFS <= 2)\n",
+      "partner_has_job = (summary.TESPEMPNOT == 1)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 69
+    },
+    {
+     "cell_type": "heading",
+     "level": 6,
+     "metadata": {},
+     "source": [
+      "I want to take a look at how much time men and women are spending on household tasks.  I'm looking to compare adults with no children to adults with children.  I want to see how time spent on household tasks changes for people when they have children.  I also want to analyze the relationship between the sexes - a lot of these tasks are (traditionally, conservatively, etc) \"women's work\" and I wanted to see whether there is more or less gender equality when there are children in the home."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "adults_with_no_children = summary[adults_crit & no_children_crit & has_partner]\n",
+      "adults_with_children = summary[adults_crit & ~no_children_crit & has_partner]\n",
+      "men_with_no_children = summary[adults_crit & no_children_crit & men_crit & has_partner]\n",
+      "men_with_children = summary[adults_crit & ~no_children_crit & men_crit & has_partner]\n",
+      "women_with_no_children = summary[adults_crit & no_children_crit & ~men_crit & has_partner]\n",
+      "women_with_children = summary[adults_crit & ~no_children_crit & ~men_crit & has_partner]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 70
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "def activity_columns(data, activity_code):\n",
+      "    \"\"\"For the activity code given, return all columns that fall under that activity.\"\"\"\n",
+      "    col_prefix = \"t{}\".format(activity_code)\n",
+      "    return [column for column in data.columns if re.match(col_prefix, column)]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 71
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "def average_minutes(data, activity_code):\n",
+      "    cols = activity_columns(data, activity_code)\n",
+      "    activity_data = data[cols]\n",
+      "    activity_sums = activity_data.sum(axis=1)\n",
+      "    data = data[['TUFINLWGT']]\n",
+      "    data['minutes'] = activity_sums\n",
+      "    data = data.rename(columns={\"TUFINLWGT\": \"weight\"})\n",
+      "    data['weighted_minutes'] = data.weight * data.minutes\n",
+      "    return round((data.weighted_minutes.sum() / data.weight.sum()), 2)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 72
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "all_adult_with_kids_housework = average_minutes(adults_with_children, \"02\")"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 73
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "all_adult_no_kids_housework = average_minutes(adults_with_no_children, \"02\")"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 74
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "def avg_getter(idgroup, codelist):\n",
+      "    \"\"\"Returns a list of average minutes for each coded activity in the codelist for the idgroup\"\"\"\n",
+      "    particulars = []\n",
+      "    for x in codelist:\n",
+      "        particulars.append(average_minutes(idgroup, x))\n",
+      "    return particulars"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 75
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "household_dict = {\"0201\":\"Housework\", \"0202\":\"Food & Drink Prep\", \"0203\":\"Interior Maintenance\", \"0204\":\"Exterior Maintenance\",\n",
+      "                  \"0205\":\"Lawn, Garden and Plant Care\", \"020901\":\"Financial Management\"}"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 76
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "household_list = [\"0201\", \"0202\", \"0203\", \"0204\", \"0205\", \"020901\"]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 77
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "labels = [\"Housework\", \"Food & Drink Prep\", \"Interior Maintentance\", \"Exterior Maintenance\",\n",
+      "          \"Lawn, Garden and Plant Care\", \"Financial Management\", \"Other\"]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 78
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "def household_breakdown(idgroup):\n",
+      "    all_household = average_minutes(idgroup, \"02\")\n",
+      "    particulars = avg_getter(idgroup, household_list)\n",
+      "    other = all_household - sum(particulars)\n",
+      "    particulars.append(other)\n",
+      "    return particulars"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 79
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "x =household_breakdown(men_with_children)\n",
+      "print(x)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "[15.76, 24.940000000000001, 4.5599999999999996, 4.5199999999999996, 12.050000000000001, 1.1000000000000001, 16.270000000000003]\n"
+       ]
+      }
+     ],
+     "prompt_number": 80
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "mwc_all_household = average_minutes(men_with_children, \"02\")\n",
+      "mwc_house = household_breakdown(men_with_children)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 81
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "wwc_all_household = average_minutes(women_with_children, \"02\")\n",
+      "wwc_house = household_breakdown(women_with_children)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 82
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "mnc_all_household = average_minutes(men_with_no_children, \"02\")\n",
+      "mnc_house = household_breakdown(men_with_no_children)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 83
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "wnc_all_household = average_minutes(women_with_no_children, \"02\")\n",
+      "wnc_house = household_breakdown(women_with_no_children)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 84
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "total_housework = pd.Series([mnc_all_household, mwc_all_household, wnc_all_household, wwc_all_household], index=(\n",
+      "    [\"Men w/out Children\", \"Men w/ Children\", \"Women w/out Children\", \"Women w/ Children\"]))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 85
+    },
+    {
+     "cell_type": "heading",
+     "level": 6,
+     "metadata": {},
+     "source": [
+      "Let's start out with a basic look at how much total housework men and women do, with and without children.  This encompasses all of the activities under the \"02\" section of the ATUS summary document - \"Household Activities.\"  Clearly, some of our assumptions about the existence of \"gender roles\" in America are visible.  Women without children spend around 1.5 times as much time on household activities as men without children.  Women with children spend almost twice as much time on household activities as men with children."
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 6,
+     "metadata": {},
+     "source": [
+      "Having children in the house actually results in about a 20% decrease in the time that men spend on household activities.  The time that women spend stays almost exactly the same, although we'll see later that the breakdown of which household activities they are engaged in changes significantly."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "total_housework.plot(kind=\"bar\", figsize=(15,5))\n",
+      "total_df = pd.DataFrame(total_housework)\n",
+      "total_df.columns = [\"Minutes\"]\n",
+      "print(total_df)\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "                      Minutes\n",
+        "Men w/out Children     102.78\n",
+        "Men w/ Children         79.20\n",
+        "Women w/out Children   155.92\n",
+        "Women w/ Children      156.34\n"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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DAAAYESUNAABgRJQ0AACAEVHSAAAARkRJAwAAGBElDQAAYESUNAAAgBFR0gAAAEZESQMA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\nyP8PpkAPMWo1ZSUAAAAASUVORK5CYII=\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x11015ecc0>"
+       ]
+      }
+     ],
+     "prompt_number": 86
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "ratio_men = mnc_all_household / all_adult_no_kids_housework\n",
+      "ratio_women = wnc_all_household / all_adult_no_kids_housework\n",
+      "ratio_men_kids = mwc_all_household / all_adult_with_kids_housework\n",
+      "ratio_women_kids = wwc_all_household /all_adult_with_kids_housework"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 87
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "ratio_men + ratio_women"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 88,
+       "text": [
+        "1.9933734011403912"
+       ]
+      }
+     ],
+     "prompt_number": 88
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "ratio_men_kids + ratio_women_kids"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 89,
+       "text": [
+        "2.0190296588376482"
+       ]
+      }
+     ],
+     "prompt_number": 89
+    },
+    {
+     "cell_type": "heading",
+     "level": 6,
+     "metadata": {},
+     "source": [
+      "I wanted to look at how things break down when we take a more detailed look at the household tasks on which people are spending their time.  I looked at 6 categories: housework(includes interior cleaning, picking up, laundry), food and drink preparation, interior maintenance, exterior maintenance, lawn and garden care, and financial management.  I wanted to make sure I looked at some activities that weren't quite as historically gendered as cooking or cleaning.  I also tracked an \"other\" category that consisted simply of all other time that individuals of each group spent on household activities."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 89
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "mwc = pd.Series(mwc_house, index=labels)\n",
+      "mnc = pd.Series(mnc_house, index=labels)\n",
+      "wwc = pd.Series(wwc_house, index=labels)\n",
+      "wnc = pd.Series(wnc_house, index=labels)\n",
+      "\n",
+      "housework_df = pd.DataFrame(mnc, index=labels)\n",
+      "\n",
+      "housework_df.columns = [\"Men w/out Children\"]\n",
+      "housework_df['Men w/ Children'] = mwc\n",
+      "housework_df['Women w/out Children'] = wnc\n",
+      "housework_df['Women w/ Children'] = wwc\n",
+      "housework_df"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "html": [
+        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+        "<table border=\"1\" class=\"dataframe\">\n",
+        "  <thead>\n",
+        "    <tr style=\"text-align: right;\">\n",
+        "      <th></th>\n",
+        "      <th>Men w/out Children</th>\n",
+        "      <th>Men w/ Children</th>\n",
+        "      <th>Women w/out Children</th>\n",
+        "      <th>Women w/ Children</th>\n",
+        "    </tr>\n",
+        "  </thead>\n",
+        "  <tbody>\n",
+        "    <tr>\n",
+        "      <th>Housework</th>\n",
+        "      <td> 14.20</td>\n",
+        "      <td> 15.76</td>\n",
+        "      <td> 57.24</td>\n",
+        "      <td> 66.46</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Food &amp; Drink Prep</th>\n",
+        "      <td> 20.57</td>\n",
+        "      <td> 24.94</td>\n",
+        "      <td> 52.13</td>\n",
+        "      <td> 66.72</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Interior Maintentance</th>\n",
+        "      <td>  8.26</td>\n",
+        "      <td>  4.56</td>\n",
+        "      <td>  4.41</td>\n",
+        "      <td>  2.24</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Exterior Maintenance</th>\n",
+        "      <td>  7.19</td>\n",
+        "      <td>  4.52</td>\n",
+        "      <td>  2.88</td>\n",
+        "      <td>  0.92</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Lawn, Garden and Plant Care</th>\n",
+        "      <td> 26.39</td>\n",
+        "      <td> 12.05</td>\n",
+        "      <td> 11.37</td>\n",
+        "      <td>  5.04</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Financial Management</th>\n",
+        "      <td>  1.93</td>\n",
+        "      <td>  1.10</td>\n",
+        "      <td>  3.54</td>\n",
+        "      <td>  1.08</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Other</th>\n",
+        "      <td> 24.24</td>\n",
+        "      <td> 16.27</td>\n",
+        "      <td> 24.35</td>\n",
+        "      <td> 13.88</td>\n",
+        "    </tr>\n",
+        "  </tbody>\n",
+        "</table>\n",
+        "</div>"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 90,
+       "text": [
+        "                             Men w/out Children  Men w/ Children  \\\n",
+        "Housework                                 14.20            15.76   \n",
+        "Food & Drink Prep                         20.57            24.94   \n",
+        "Interior Maintentance                      8.26             4.56   \n",
+        "Exterior Maintenance                       7.19             4.52   \n",
+        "Lawn, Garden and Plant Care               26.39            12.05   \n",
+        "Financial Management                       1.93             1.10   \n",
+        "Other                                     24.24            16.27   \n",
+        "\n",
+        "                             Women w/out Children  Women w/ Children  \n",
+        "Housework                                   57.24              66.46  \n",
+        "Food & Drink Prep                           52.13              66.72  \n",
+        "Interior Maintentance                        4.41               2.24  \n",
+        "Exterior Maintenance                         2.88               0.92  \n",
+        "Lawn, Garden and Plant Care                 11.37               5.04  \n",
+        "Financial Management                         3.54               1.08  \n",
+        "Other                                       24.35              13.88  "
+       ]
+      }
+     ],
+     "prompt_number": 90
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "housework_df.plot(kind=\"bar\", figsize=(18,10))\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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Mn8GxAxPr32sivX7xI/cDq/4+gu7Gz+DY6ZvS1/F5Msjx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\nSZIkSZLU4f8DDk2qPbSTMbEAAAAASUVORK5CYII=\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x1100faa90>"
+       ]
+      }
+     ],
+     "prompt_number": 91
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "housework_df.plot(figsize=(18,6))\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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EBAAwevQ4Nm3KZuTIZJKSbAAEBfUhLq5lNkJwcDBNTU0cO1ZIZeVJHnhgIQB1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\nSe7amwfP/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OaW1HOU+FTIVNY7NqcjM3LniaTY0D87SCQxX86gU2mpzq1MtrqUBYelnPhX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\nVetTPq/H3giTA6qB2cA3VDVb8o06HUYpN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dL/IP1ZbfGILV24nLyBjqq+i83EngA8jO0J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\nWfkv5tZ2mZUIpqgAAAAASUVORK5CYII=\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10ff03e80>"
+       ]
+      }
+     ],
+     "prompt_number": 92
+    },
+    {
+     "cell_type": "heading",
+     "level": 6,
+     "metadata": {},
+     "source": [
+      "The data below provides a really interesting look at how things change when children are added to the equation.  For men and women, housework and food/drink prep increase.  For women, they increase substantially.  In all other categories, they spend less time after they have children.  When there are children in the house, people focus on what's absolutely necessary: picking up the house and feeding the family.  This dynamic is even more evident in women."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "housework_df[\"Child Diff Men\"] = housework_df[\"Men w/ Children\"] - housework_df[\"Men w/out Children\"]\n",
+      "housework_df[\"Child Diff Women\"] = housework_df[\"Women w/ Children\"] - housework_df[\"Women w/out Children\"]\n",
+      "housework_df"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "html": [
+        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+        "<table border=\"1\" class=\"dataframe\">\n",
+        "  <thead>\n",
+        "    <tr style=\"text-align: right;\">\n",
+        "      <th></th>\n",
+        "      <th>Men w/out Children</th>\n",
+        "      <th>Men w/ Children</th>\n",
+        "      <th>Women w/out Children</th>\n",
+        "      <th>Women w/ Children</th>\n",
+        "      <th>Child Diff Men</th>\n",
+        "      <th>Child Diff Women</th>\n",
+        "    </tr>\n",
+        "  </thead>\n",
+        "  <tbody>\n",
+        "    <tr>\n",
+        "      <th>Housework</th>\n",
+        "      <td> 14.20</td>\n",
+        "      <td> 15.76</td>\n",
+        "      <td> 57.24</td>\n",
+        "      <td> 66.46</td>\n",
+        "      <td>  1.56</td>\n",
+        "      <td>  9.22</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Food &amp; Drink Prep</th>\n",
+        "      <td> 20.57</td>\n",
+        "      <td> 24.94</td>\n",
+        "      <td> 52.13</td>\n",
+        "      <td> 66.72</td>\n",
+        "      <td>  4.37</td>\n",
+        "      <td> 14.59</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Interior Maintentance</th>\n",
+        "      <td>  8.26</td>\n",
+        "      <td>  4.56</td>\n",
+        "      <td>  4.41</td>\n",
+        "      <td>  2.24</td>\n",
+        "      <td> -3.70</td>\n",
+        "      <td> -2.17</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Exterior Maintenance</th>\n",
+        "      <td>  7.19</td>\n",
+        "      <td>  4.52</td>\n",
+        "      <td>  2.88</td>\n",
+        "      <td>  0.92</td>\n",
+        "      <td> -2.67</td>\n",
+        "      <td> -1.96</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Lawn, Garden and Plant Care</th>\n",
+        "      <td> 26.39</td>\n",
+        "      <td> 12.05</td>\n",
+        "      <td> 11.37</td>\n",
+        "      <td>  5.04</td>\n",
+        "      <td>-14.34</td>\n",
+        "      <td> -6.33</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Financial Management</th>\n",
+        "      <td>  1.93</td>\n",
+        "      <td>  1.10</td>\n",
+        "      <td>  3.54</td>\n",
+        "      <td>  1.08</td>\n",
+        "      <td> -0.83</td>\n",
+        "      <td> -2.46</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Other</th>\n",
+        "      <td> 24.24</td>\n",
+        "      <td> 16.27</td>\n",
+        "      <td> 24.35</td>\n",
+        "      <td> 13.88</td>\n",
+        "      <td> -7.97</td>\n",
+        "      <td>-10.47</td>\n",
+        "    </tr>\n",
+        "  </tbody>\n",
+        "</table>\n",
+        "</div>"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 93,
+       "text": [
+        "                             Men w/out Children  Men w/ Children  \\\n",
+        "Housework                                 14.20            15.76   \n",
+        "Food & Drink Prep                         20.57            24.94   \n",
+        "Interior Maintentance                      8.26             4.56   \n",
+        "Exterior Maintenance                       7.19             4.52   \n",
+        "Lawn, Garden and Plant Care               26.39            12.05   \n",
+        "Financial Management                       1.93             1.10   \n",
+        "Other                                     24.24            16.27   \n",
+        "\n",
+        "                             Women w/out Children  Women w/ Children  \\\n",
+        "Housework                                   57.24              66.46   \n",
+        "Food & Drink Prep                           52.13              66.72   \n",
+        "Interior Maintentance                        4.41               2.24   \n",
+        "Exterior Maintenance                         2.88               0.92   \n",
+        "Lawn, Garden and Plant Care                 11.37               5.04   \n",
+        "Financial Management                         3.54               1.08   \n",
+        "Other                                       24.35              13.88   \n",
+        "\n",
+        "                             Child Diff Men  Child Diff Women  \n",
+        "Housework                              1.56              9.22  \n",
+        "Food & Drink Prep                      4.37             14.59  \n",
+        "Interior Maintentance                 -3.70             -2.17  \n",
+        "Exterior Maintenance                  -2.67             -1.96  \n",
+        "Lawn, Garden and Plant Care          -14.34             -6.33  \n",
+        "Financial Management                  -0.83             -2.46  \n",
+        "Other                                 -7.97            -10.47  "
+       ]
+      }
+     ],
+     "prompt_number": 93
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "housework_df[[\"Child Diff Men\", \"Child Diff Women\"]].plot(kind=\"bar\", figsize=(15,6))\n",
+      "plt.axhline(y=0, color=\"black\")\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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l3zab/dt+s2fPr6xt+7a5/Nltrqp+Z8yePb+S/1OrCodrHNQy83rg+n73bwZ2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\nSUVORK5CYII=\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x11ae022b0>"
+       ]
+      }
+     ],
+     "prompt_number": 94
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "women_chart = housework_df[[\"Women w/out Children\", \"Women w/ Children\", \"Child Diff Women\"]]\n",
+      "women_chart"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "html": [
+        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+        "<table border=\"1\" class=\"dataframe\">\n",
+        "  <thead>\n",
+        "    <tr style=\"text-align: right;\">\n",
+        "      <th></th>\n",
+        "      <th>Women w/out Children</th>\n",
+        "      <th>Women w/ Children</th>\n",
+        "      <th>Child Diff Women</th>\n",
+        "    </tr>\n",
+        "  </thead>\n",
+        "  <tbody>\n",
+        "    <tr>\n",
+        "      <th>Housework</th>\n",
+        "      <td> 57.24</td>\n",
+        "      <td> 66.46</td>\n",
+        "      <td>  9.22</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Food &amp; Drink Prep</th>\n",
+        "      <td> 52.13</td>\n",
+        "      <td> 66.72</td>\n",
+        "      <td> 14.59</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Interior Maintentance</th>\n",
+        "      <td>  4.41</td>\n",
+        "      <td>  2.24</td>\n",
+        "      <td> -2.17</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Exterior Maintenance</th>\n",
+        "      <td>  2.88</td>\n",
+        "      <td>  0.92</td>\n",
+        "      <td> -1.96</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Lawn, Garden and Plant Care</th>\n",
+        "      <td> 11.37</td>\n",
+        "      <td>  5.04</td>\n",
+        "      <td> -6.33</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Financial Management</th>\n",
+        "      <td>  3.54</td>\n",
+        "      <td>  1.08</td>\n",
+        "      <td> -2.46</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Other</th>\n",
+        "      <td> 24.35</td>\n",
+        "      <td> 13.88</td>\n",
+        "      <td>-10.47</td>\n",
+        "    </tr>\n",
+        "  </tbody>\n",
+        "</table>\n",
+        "</div>"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 95,
+       "text": [
+        "                             Women w/out Children  Women w/ Children  \\\n",
+        "Housework                                   57.24              66.46   \n",
+        "Food & Drink Prep                           52.13              66.72   \n",
+        "Interior Maintentance                        4.41               2.24   \n",
+        "Exterior Maintenance                         2.88               0.92   \n",
+        "Lawn, Garden and Plant Care                 11.37               5.04   \n",
+        "Financial Management                         3.54               1.08   \n",
+        "Other                                       24.35              13.88   \n",
+        "\n",
+        "                             Child Diff Women  \n",
+        "Housework                                9.22  \n",
+        "Food & Drink Prep                       14.59  \n",
+        "Interior Maintentance                   -2.17  \n",
+        "Exterior Maintenance                    -1.96  \n",
+        "Lawn, Garden and Plant Care             -6.33  \n",
+        "Financial Management                    -2.46  \n",
+        "Other                                  -10.47  "
+       ]
+      }
+     ],
+     "prompt_number": 95
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "wnc.plot(kind=\"pie\", figsize=(8,8), colors = ['b', 'g', 'white', 'orange', 'grey', 'red', 'tan'], autopct='%.2f')\n",
+      "plt.title(\"Division of household tasks for women with no children\")\n",
+      "plt.show()\n",
+      "#print(\"\")\n",
+      "wwc.plot(kind=\"pie\", figsize=(8,8), colors = ['b', 'g', 'white', 'orange', 'grey', 'red', 'tan'], autopct='%.2f')\n",
+      "plt.title(\"Division of household tasks for women with children\")\n",
+      "plt.show()\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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WJNJ/vN/vKNL2du36FRs3PkV+/nXU1GRSUhKYvqK0dDrJyR8ctXxcXDFJSRsp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\nkwxjGmRJYdG4SPAXYcHsM98yiyHM4Z+kkxvs+tRUz6M9s2675baGDf7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+       "text": [
+        "<matplotlib.figure.Figure at 0x11b4766d8>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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ce43bKaT+UDnYp6GjYfwgt1OIiNSeBsDw8cY0jXY7idQPKgd74R01OH4qpGm4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\nAAAAAElFTkSuQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10fdaaf98>"
+       ]
+      }
+     ],
+     "prompt_number": 96
+    },
+    {
+     "cell_type": "heading",
+     "level": 6,
+     "metadata": {},
+     "source": [
+      "Let's even the playing field a bit.  Let's look at men and women who both work, and how their share of household tasks changes with children."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "working_male = summary[adults_crit & no_children_crit & men_crit & has_partner & has_job & partner_has_job]\n",
+      "working_male_kids = summary[adults_crit & ~no_children_crit & men_crit & has_partner & has_job & partner_has_job]\n",
+      "working_female = summary[adults_crit & no_children_crit & ~men_crit & has_partner & has_job & partner_has_job]\n",
+      "working_female_kids = summary[adults_crit & ~no_children_crit & ~men_crit & has_partner & has_job & partner_has_job]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 97
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "wm_all_household = average_minutes(working_male, \"02\")\n",
+      "wm_house = household_breakdown(working_male)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 98
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "wmk_all_household = average_minutes(working_male_kids, \"02\")\n",
+      "wmk_house = household_breakdown(working_male_kids)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 99
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "wf_all_household = average_minutes(working_female, \"02\")\n",
+      "wf_house = household_breakdown(working_female)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 100
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "wfk_all_household = average_minutes(working_female_kids, \"02\")\n",
+      "wfk_house = household_breakdown(working_female_kids)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 101
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "total_working_housework = pd.Series([wm_all_household, wmk_all_household, wf_all_household, wfk_all_household], index=(\n",
+      "    [\"Men w/out Children\", \"Men w/ Children\", \"Women w/out Children\", \"Women w/ Children\"]))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 102
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "total_working_housework.plot(kind=\"bar\", figsize=(15,5))\n",
+      "total_working_df = pd.DataFrame(total_working_housework)\n",
+      "total_working_df.columns = [\"Minutes\"]\n",
+      "print(total_working_df)\n",
+      "plt.title(\"Minutes per day spent on household activities in families where both parents are employed\")\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "                      Minutes\n",
+        "Men w/out Children      90.85\n",
+        "Men w/ Children         78.73\n",
+        "Women w/out Children   125.47\n",
+        "Women w/ Children      132.35\n"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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N6kzrCI5/puxI/Zu2X4mH70/U+j/aUcjeQBn+cjllqM2f2+47HbiwGtL2YmC7iLiasjP2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\nf49r8Uf1tB0YAAAAAElFTkSuQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x11014f518>"
+       ]
+      }
+     ],
+     "prompt_number": 103
+    },
+    {
+     "cell_type": "heading",
+     "level": 6,
+     "metadata": {},
+     "source": [
+      "We can see that when both partners are working, there's a general decrease across the board in terms of total time spent on housework.  The exception is men with children, who contrbute the same amount, whether or not both partners are working."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "all_total_df = pd.DataFrame(total_housework)\n",
+      "all_total_df.columns = [\"Total Housework\"]\n",
+      "all_total_df[\"Total Housework, Both Working\"] = total_working_housework\n",
+      "all_total_df.plot(kind=\"bar\", figsize=(15,5))\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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SJEmSJClFylvzphDCKOAYoCNwAzAduANYA7wKnBFjbGyjGiVJkiSpZLR4Ji2E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\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10fefe438>"
+       ]
+      }
+     ],
+     "prompt_number": 104
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "mwc = pd.Series(mwc_house, index=labels)\n",
+      "mnc = pd.Series(mnc_house, index=labels)\n",
+      "wwc = pd.Series(wwc_house, index=labels)\n",
+      "wnc = pd.Series(wnc_house, index=labels)\n",
+      "\n",
+      "wm = pd.Series(wm_house, index=labels)\n",
+      "wmk = pd.Series(wmk_house, index=labels)\n",
+      "wf = pd.Series(wf_house, index=labels)\n",
+      "wfk = pd.Series(wfk_house, index=labels)\n",
+      "large_housework_df = pd.DataFrame(mnc, index=labels)\n",
+      "large_housework_df.columns = [\"Men w/out Children\"]\n",
+      "large_housework_df['Men w/ Children'] = mwc\n",
+      "large_housework_df['Both Working, Men w/out Children'] = wmk\n",
+      "large_housework_df['Both Working, Men w/ Children'] = wm\n",
+      "large_housework_df['Women w/out Children'] = wnc\n",
+      "large_housework_df['Women w/ Children'] = wwc\n",
+      "large_housework_df['Both Working, Women w/out Children'] = wf\n",
+      "large_housework_df['Both Working, Women w/ Children'] = wfk\n",
+      "\n",
+      "large_housework_df"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "html": [
+        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+        "<table border=\"1\" class=\"dataframe\">\n",
+        "  <thead>\n",
+        "    <tr style=\"text-align: right;\">\n",
+        "      <th></th>\n",
+        "      <th>Men w/out Children</th>\n",
+        "      <th>Men w/ Children</th>\n",
+        "      <th>Both Working, Men w/out Children</th>\n",
+        "      <th>Both Working, Men w/ Children</th>\n",
+        "      <th>Women w/out Children</th>\n",
+        "      <th>Women w/ Children</th>\n",
+        "      <th>Both Working, Women w/out Children</th>\n",
+        "      <th>Both Working, Women w/ Children</th>\n",
+        "    </tr>\n",
+        "  </thead>\n",
+        "  <tbody>\n",
+        "    <tr>\n",
+        "      <th>Housework</th>\n",
+        "      <td> 14.20</td>\n",
+        "      <td> 15.76</td>\n",
+        "      <td> 13.81</td>\n",
+        "      <td> 12.78</td>\n",
+        "      <td> 57.24</td>\n",
+        "      <td> 66.46</td>\n",
+        "      <td> 48.26</td>\n",
+        "      <td> 53.76</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Food &amp; Drink Prep</th>\n",
+        "      <td> 20.57</td>\n",
+        "      <td> 24.94</td>\n",
+        "      <td> 27.04</td>\n",
+        "      <td> 17.96</td>\n",
+        "      <td> 52.13</td>\n",
+        "      <td> 66.72</td>\n",
+        "      <td> 39.42</td>\n",
+        "      <td> 55.63</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Interior Maintentance</th>\n",
+        "      <td>  8.26</td>\n",
+        "      <td>  4.56</td>\n",
+        "      <td>  4.42</td>\n",
+        "      <td> 11.16</td>\n",
+        "      <td>  4.41</td>\n",
+        "      <td>  2.24</td>\n",
+        "      <td>  5.44</td>\n",
+        "      <td>  2.13</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Exterior Maintenance</th>\n",
+        "      <td>  7.19</td>\n",
+        "      <td>  4.52</td>\n",
+        "      <td>  6.33</td>\n",
+        "      <td>  4.39</td>\n",
+        "      <td>  2.88</td>\n",
+        "      <td>  0.92</td>\n",
+        "      <td>  2.76</td>\n",
+        "      <td>  1.11</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Lawn, Garden and Plant Care</th>\n",
+        "      <td> 26.39</td>\n",
+        "      <td> 12.05</td>\n",
+        "      <td> 10.25</td>\n",
+        "      <td> 21.19</td>\n",
+        "      <td> 11.37</td>\n",
+        "      <td>  5.04</td>\n",
+        "      <td>  7.02</td>\n",
+        "      <td>  4.72</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Financial Management</th>\n",
+        "      <td>  1.93</td>\n",
+        "      <td>  1.10</td>\n",
+        "      <td>  0.75</td>\n",
+        "      <td>  2.15</td>\n",
+        "      <td>  3.54</td>\n",
+        "      <td>  1.08</td>\n",
+        "      <td>  1.70</td>\n",
+        "      <td>  0.86</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Other</th>\n",
+        "      <td> 24.24</td>\n",
+        "      <td> 16.27</td>\n",
+        "      <td> 16.13</td>\n",
+        "      <td> 21.22</td>\n",
+        "      <td> 24.35</td>\n",
+        "      <td> 13.88</td>\n",
+        "      <td> 20.87</td>\n",
+        "      <td> 14.14</td>\n",
+        "    </tr>\n",
+        "  </tbody>\n",
+        "</table>\n",
+        "</div>"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 105,
+       "text": [
+        "                             Men w/out Children  Men w/ Children  \\\n",
+        "Housework                                 14.20            15.76   \n",
+        "Food & Drink Prep                         20.57            24.94   \n",
+        "Interior Maintentance                      8.26             4.56   \n",
+        "Exterior Maintenance                       7.19             4.52   \n",
+        "Lawn, Garden and Plant Care               26.39            12.05   \n",
+        "Financial Management                       1.93             1.10   \n",
+        "Other                                     24.24            16.27   \n",
+        "\n",
+        "                             Both Working, Men w/out Children  \\\n",
+        "Housework                                               13.81   \n",
+        "Food & Drink Prep                                       27.04   \n",
+        "Interior Maintentance                                    4.42   \n",
+        "Exterior Maintenance                                     6.33   \n",
+        "Lawn, Garden and Plant Care                             10.25   \n",
+        "Financial Management                                     0.75   \n",
+        "Other                                                   16.13   \n",
+        "\n",
+        "                             Both Working, Men w/ Children  \\\n",
+        "Housework                                            12.78   \n",
+        "Food & Drink Prep                                    17.96   \n",
+        "Interior Maintentance                                11.16   \n",
+        "Exterior Maintenance                                  4.39   \n",
+        "Lawn, Garden and Plant Care                          21.19   \n",
+        "Financial Management                                  2.15   \n",
+        "Other                                                21.22   \n",
+        "\n",
+        "                             Women w/out Children  Women w/ Children  \\\n",
+        "Housework                                   57.24              66.46   \n",
+        "Food & Drink Prep                           52.13              66.72   \n",
+        "Interior Maintentance                        4.41               2.24   \n",
+        "Exterior Maintenance                         2.88               0.92   \n",
+        "Lawn, Garden and Plant Care                 11.37               5.04   \n",
+        "Financial Management                         3.54               1.08   \n",
+        "Other                                       24.35              13.88   \n",
+        "\n",
+        "                             Both Working, Women w/out Children  \\\n",
+        "Housework                                                 48.26   \n",
+        "Food & Drink Prep                                         39.42   \n",
+        "Interior Maintentance                                      5.44   \n",
+        "Exterior Maintenance                                       2.76   \n",
+        "Lawn, Garden and Plant Care                                7.02   \n",
+        "Financial Management                                       1.70   \n",
+        "Other                                                     20.87   \n",
+        "\n",
+        "                             Both Working, Women w/ Children  \n",
+        "Housework                                              53.76  \n",
+        "Food & Drink Prep                                      55.63  \n",
+        "Interior Maintentance                                   2.13  \n",
+        "Exterior Maintenance                                    1.11  \n",
+        "Lawn, Garden and Plant Care                             4.72  \n",
+        "Financial Management                                    0.86  \n",
+        "Other                                                  14.14  "
+       ]
+      }
+     ],
+     "prompt_number": 105
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "large_housework_df.plot(kind=\"bar\", figsize=(18,10))\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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jg0u14/Lly7i4NCq17odkAYC9vSPTpoUQE3OQTZveKZXUKFHMO++sZ+DABxg0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\nEvEwFAAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x1100fbdd8>"
+       ]
+      }
+     ],
+     "prompt_number": 106
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "large_housework_df.plot(figsize=(18,10))\n",
+      "plt.annotate(\"A\", (.5,57))\n",
+      "plt.annotate(\"B\", (2,12))\n",
+      "plt.annotate(\"C\", (5,6))\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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MmzYbP79fkwkjRvyVuXPjcHNz4557evPWW4sJDg5l+PBHWbToHdav/4VOnbqW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uCsWIvF2YIkSVjkYU7u/xYCQVXrY9g87Rd8zwOdo7z8i2PYkahq8HDTlqV8498PMx7Lcu/1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\nmwAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x110255f98>"
+       ]
+      }
+     ],
+     "prompt_number": 107
+    },
+    {
+     "cell_type": "raw",
+     "metadata": {},
+     "source": [
+      "Some \"interesting\" notes:\n",
+      "(letters reference annotated points on the above graph)\n",
+      "A.  It's interesting to see where lines cross on this graph.  Here we see how available time is most important for time spent doing housework, but when it comes to food and drink prep, both categories of women with children spend the most amount of time.\n",
+      "B.  This point of working family men with children is an interesting outlier.  The data shows that they spend significantly more time doing interior maintenance than any of the other groups visualized above.\n",
+      "C.  This is an interesting point.  Women without children where both parents aren't working do the most financial management of any of the groups charted above.  This is interesting, as women with children do much less of the financial management\n"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 6,
+     "metadata": {},
+     "source": [
+      "I tried to merge in the cpsdata to see how things differed by region.  But the data I was getting back didn't make any sense."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cpsdata = pd.read_csv(\"atusdata/atuscps_2013/atuscps_2013.dat\")"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 108
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "#cpsdata.head()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 109
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cpsdata = cpsdata.rename(columns={'TUCASEID': 'tucaseid'})"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 110
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "#cpsdata.head()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 111
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "merged = pd.merge(summary, cpsdata, left_on=\"tucaseid\", right_on=\"tucaseid\")\n",
+      "merged.info()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "<class 'pandas.core.frame.DataFrame'>\n",
+        "Int64Index: 29871 entries, 0 to 29870\n",
+        "Columns: 787 entries, tucaseid to PRDASIAN\n",
+        "dtypes: float64(13), int64(774)\n",
+        "memory usage: 179.6 MB\n"
+       ]
+      }
+     ],
+     "prompt_number": 112
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "#merged.head()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 113
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "xadults_crit = (merged.TEAGE >= 18)\n",
+      "xno_children_crit = (merged.TRCHILDNUM == 0)\n",
+      "xmen_crit = (merged.TESEX == 1)\n",
+      "xhas_partner = (merged.TRSPPRES <= 2)\n",
+      "xhas_job = (merged.TELFS <= 2)\n",
+      "xpartner_has_job = (merged.TESPEMPNOT == 1)\n",
+      "northeast = (merged.GEREG == 1)\n",
+      "midwest = (merged.GEREG == 2)\n",
+      "south = (merged.GEREG == 3)\n",
+      "west = (merged.GEREG == 4)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 114
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "xworking_male = summary[xadults_crit & xno_children_crit & xmen_crit & xhas_partner & xhas_job & xpartner_has_job]\n",
+      "xworking_male_kids = summary[xadults_crit & ~xno_children_crit & xmen_crit & xhas_partner & xhas_job & xpartner_has_job]\n",
+      "xworking_female = summary[xadults_crit & xno_children_crit & ~xmen_crit & xhas_partner & xhas_job & xpartner_has_job]\n",
+      "xworking_female_kids = summary[xadults_crit & ~xno_children_crit & ~xmen_crit & xhas_partner & xhas_job & xpartner_has_job]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 115
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "ne_male = average_minutes(xworking_male[northeast], \"02\")\n",
+      "ne_male_kids = average_minutes(xworking_male_kids[northeast], \"02\")\n",
+      "ne_female = average_minutes(xworking_female[northeast], \"02\")\n",
+      "ne_female_kids = average_minutes(xworking_female_kids[northeast], \"02\")"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 116
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "[ne_male, ne_male_kids, ne_female, ne_female_kids]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 117,
+       "text": [
+        "[130.33000000000001, 107.36, 107.26000000000001, 103.59]"
+       ]
+      }
+     ],
+     "prompt_number": 117
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "mw_male = average_minutes(xworking_male[midwest], \"02\")\n",
+      "mw_male_kids = average_minutes(xworking_male_kids[midwest], \"02\")\n",
+      "mw_female = average_minutes(xworking_female[midwest], \"02\")\n",
+      "mw_female_kids = average_minutes(xworking_female_kids[midwest], \"02\")"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 118
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "[mw_male, mw_male_kids, mw_female, mw_female_kids]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 119,
+       "text": [
+        "[89.030000000000001, 113.70999999999999, 112.31, 126.95999999999999]"
+       ]
+      }
+     ],
+     "prompt_number": 119
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "s_male = average_minutes(xworking_male[south], \"02\")\n",
+      "s_male_kids = average_minutes(xworking_male_kids[south], \"02\")\n",
+      "s_female = average_minutes(xworking_female[south], \"02\")\n",
+      "s_female_kids = average_minutes(xworking_female_kids[south], \"02\")"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 120
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "[s_male, s_male_kids, s_female, s_female_kids]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 121,
+       "text": [
+        "[119.39, 105.68000000000001, 93.920000000000002, 111.38]"
+       ]
+      }
+     ],
+     "prompt_number": 121
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "w_male = average_minutes(xworking_male[west], \"02\")\n",
+      "w_male_kids = average_minutes(xworking_male_kids[west], \"02\")\n",
+      "w_female = average_minutes(xworking_female[west], \"02\")\n",
+      "w_female_kids = average_minutes(xworking_female_kids[west], \"02\")"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 122
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "[w_male, w_male_kids, w_female, w_female_kids]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 123,
+       "text": [
+        "[84.370000000000005, 111.59999999999999, 85.799999999999997, 105.77]"
+       ]
+      }
+     ],
+     "prompt_number": 123
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
\ No newline at end of file