diff --git a/.ipynb_checkpoints/Consumer Complaints-checkpoint.ipynb b/.ipynb_checkpoints/Consumer Complaints-checkpoint.ipynb
new file mode 100644
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+++ b/.ipynb_checkpoints/Consumer Complaints-checkpoint.ipynb	
@@ -0,0 +1,683 @@
+{
+ "metadata": {
+  "name": "",
+  "signature": "sha256:4f6daef6cb638a149a3976c3a4fd78e55a1d45b804c7d7380122be250e5584e8"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "heading",
+     "level": 1,
+     "metadata": {},
+     "source": [
+      "Analyzing Consumer Complaint Data"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 6,
+     "metadata": {},
+     "source": [
+      "by Nick Foster"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Using pandas to read and analyze data from the CFPB Consumer Complaint Database. This database is a collection of all complaints made by American consumers to the Consumer Financial Protection Bureau in December 2014."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import pandas as pd\n",
+      "import seaborn as sb\n",
+      "import matplotlib.pyplot as plt\n",
+      "pd.set_option('display.mpl_style', 'default') \n",
+      "pd.set_option('display.width', 5000) \n",
+      "pd.set_option('display.max_columns', 60)\n",
+      "pd.options.display.mpl_style = 'default'\n",
+      "%matplotlib inline"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 419
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Importing the Consumer Complaint Database with Pandas"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints = pd.read_csv('complaints_dec_2014.csv')\n",
+      "complaints.index = pd.to_datetime(complaints.pop(\"Date received\"), format=\"%m/%d/%Y\")"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 420
+    },
+    {
+     "cell_type": "heading",
+     "level": 5,
+     "metadata": {},
+     "source": [
+      "Data Set Example"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints.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>Complaint ID</th>\n",
+        "      <th>Product</th>\n",
+        "      <th>Sub-product</th>\n",
+        "      <th>Issue</th>\n",
+        "      <th>Sub-issue</th>\n",
+        "      <th>State</th>\n",
+        "      <th>ZIP code</th>\n",
+        "      <th>Submitted via</th>\n",
+        "      <th>Date sent to company</th>\n",
+        "      <th>Company</th>\n",
+        "      <th>Company response</th>\n",
+        "      <th>Timely response?</th>\n",
+        "      <th>Consumer disputed?</th>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Date received</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>2014-12-31</th>\n",
+        "      <td> 1177167</td>\n",
+        "      <td> Debt collection</td>\n",
+        "      <td> NaN</td>\n",
+        "      <td> Cont'd attempts collect debt not owed</td>\n",
+        "      <td> Debt is not mine</td>\n",
+        "      <td> TX</td>\n",
+        "      <td> 77068</td>\n",
+        "      <td> Web</td>\n",
+        "      <td> 12/31/2014</td>\n",
+        "      <td>  Ad Astra Recovery Services Inc</td>\n",
+        "      <td>         Closed with explanation</td>\n",
+        "      <td> Yes</td>\n",
+        "      <td> NaN</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>2014-12-31</th>\n",
+        "      <td> 1177166</td>\n",
+        "      <td> Debt collection</td>\n",
+        "      <td> NaN</td>\n",
+        "      <td> Cont'd attempts collect debt not owed</td>\n",
+        "      <td> Debt is not mine</td>\n",
+        "      <td> TX</td>\n",
+        "      <td> 77068</td>\n",
+        "      <td> Web</td>\n",
+        "      <td> 12/31/2014</td>\n",
+        "      <td> Unique Management Services, Inc</td>\n",
+        "      <td>         Closed with explanation</td>\n",
+        "      <td> Yes</td>\n",
+        "      <td> NaN</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>2014-12-31</th>\n",
+        "      <td> 1177165</td>\n",
+        "      <td> Debt collection</td>\n",
+        "      <td> NaN</td>\n",
+        "      <td> Cont'd attempts collect debt not owed</td>\n",
+        "      <td> Debt is not mine</td>\n",
+        "      <td> TX</td>\n",
+        "      <td> 77068</td>\n",
+        "      <td> Web</td>\n",
+        "      <td> 12/31/2014</td>\n",
+        "      <td>                CL Holdings, LLC</td>\n",
+        "      <td>     Closed with monetary relief</td>\n",
+        "      <td> Yes</td>\n",
+        "      <td> NaN</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>2014-12-31</th>\n",
+        "      <td> 1177164</td>\n",
+        "      <td> Debt collection</td>\n",
+        "      <td> NaN</td>\n",
+        "      <td> Cont'd attempts collect debt not owed</td>\n",
+        "      <td> Debt is not mine</td>\n",
+        "      <td> TX</td>\n",
+        "      <td> 77068</td>\n",
+        "      <td> Web</td>\n",
+        "      <td> 12/31/2014</td>\n",
+        "      <td>  Enhanced Recovery Company, LLC</td>\n",
+        "      <td> Closed with non-monetary relief</td>\n",
+        "      <td> Yes</td>\n",
+        "      <td> NaN</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>2014-12-31</th>\n",
+        "      <td> 1177163</td>\n",
+        "      <td> Debt collection</td>\n",
+        "      <td> NaN</td>\n",
+        "      <td> Cont'd attempts collect debt not owed</td>\n",
+        "      <td> Debt is not mine</td>\n",
+        "      <td> TX</td>\n",
+        "      <td> 77068</td>\n",
+        "      <td> Web</td>\n",
+        "      <td> 12/31/2014</td>\n",
+        "      <td>      Enhanced Acquisitions, LLC</td>\n",
+        "      <td>         Closed with explanation</td>\n",
+        "      <td> Yes</td>\n",
+        "      <td> NaN</td>\n",
+        "    </tr>\n",
+        "  </tbody>\n",
+        "</table>\n",
+        "</div>"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 421,
+       "text": [
+        "               Complaint ID          Product Sub-product                                  Issue         Sub-issue State  ZIP code Submitted via Date sent to company                          Company                 Company response Timely response? Consumer disputed?\n",
+        "Date received                                                                                                                                                                                                                                                             \n",
+        "2014-12-31          1177167  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014   Ad Astra Recovery Services Inc          Closed with explanation              Yes                NaN\n",
+        "2014-12-31          1177166  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014  Unique Management Services, Inc          Closed with explanation              Yes                NaN\n",
+        "2014-12-31          1177165  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014                 CL Holdings, LLC      Closed with monetary relief              Yes                NaN\n",
+        "2014-12-31          1177164  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014   Enhanced Recovery Company, LLC  Closed with non-monetary relief              Yes                NaN\n",
+        "2014-12-31          1177163  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014       Enhanced Acquisitions, LLC          Closed with explanation              Yes                NaN"
+       ]
+      }
+     ],
+     "prompt_number": 421
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "product_complaints = complaints['Product'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 422
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Products/Services People are Complaining About"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "product_complaints"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 423,
+       "text": [
+        "Mortgage                   3002\n",
+        "Debt collection            2942\n",
+        "Credit reporting           2113\n",
+        "Bank account or service    1136\n",
+        "Credit card                1100\n",
+        "Consumer loan               578\n",
+        "Student loan                340\n",
+        "Payday loan                 141\n",
+        "Money transfers             107\n",
+        "Prepaid card                 70\n",
+        "Other financial service      14\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 423
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "pc = product_complaints"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 424
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "pc.sort()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 425
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "pc.plot(kind='barh', title='Products vs. Complaints', figsize=(10, 9), \n",
+      "        color = sb.cubehelix_palette(11, start=.5, rot=.1, dark=.2, light=.95))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 458,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x1243e7080>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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HnX+emQ8BI8BFwKPAPwAGa0mSJJZesN4feBBYCewH3NS07wbsC9wHbMzMTQAR8fdNv4dm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\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x1307a4978>"
+       ]
+      }
+     ],
+     "prompt_number": 458
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "                  Mortgage related issues are what people are complaining about the most"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Top 10 Companies with the Most Consumer Complaints"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "company_complaints = complaints['Company'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 462
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cc = company_complaints[:10]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 463
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cc.sort()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 429
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cc"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 430,
+       "text": [
+        "Capital One            252\n",
+        "Nationstar Mortgage    357\n",
+        "Citibank               403\n",
+        "Ocwen                  408\n",
+        "JPMorgan Chase         545\n",
+        "Wells Fargo            598\n",
+        "TransUnion             604\n",
+        "Experian               675\n",
+        "Equifax                737\n",
+        "Bank of America        766\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 430
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cc.plot(kind='barh', title='Companies vs. Complaints', figsize=(10, 9), \n",
+      "        color = sb.cubehelix_palette(10, start=2, rot=.3, dark=.2, light=.9))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 460,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x131543c18>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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Jkjpwxuv+dGjCrscYJEmSVCzDriRJkopl2JUkSVKxDLuSJEkqlmFXkiRJxTLsSpIkqViG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\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x1305d1518>"
+       ]
+      }
+     ],
+     "prompt_number": 460
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Bank of America has the most complaints against them at 766. However, that could be just because they have the most accounts. "
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "How Companies are Responding"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "company_response = complaints['Company response'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 432
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "company_response"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 433,
+       "text": [
+        "Closed with explanation            8185\n",
+        "Closed with non-monetary relief    1253\n",
+        "In progress                        1056\n",
+        "Closed with monetary relief         643\n",
+        "Closed                              239\n",
+        "Untimely response                   167\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 433
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.figure(figsize=[10, 10])\n",
+      "plt.subplot(111)\n",
+      "plt.title(\"Company Responses\")\n",
+      "colors = ['turquoise', 'lightgrey', 'lightgreen', 'lightskyblue', 'lightcoral', 'lightblue']\n",
+      "explode = (.05, 0, 0, 0, 0, 0)\n",
+      "plt.pie(company_response, explode=explode, shadow=True, colors=colors, labels=company_response.index.values, autopct='%1.1f%%', startangle=30)\n",
+      "plt.axis('equal')\n",
+      "plt.show"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 447,
+       "text": [
+        "<function matplotlib.pyplot.show>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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u8DoLEWUuFj+ibghXVux2xEHfP8mYPnXGV5rNzVyIiMhTX9vx/HeT0Z9/3VB/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\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x12f973a58>"
+       ]
+      }
+     ],
+     "prompt_number": 447
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "                71% of complaints are closed with an explanation via the CFPB"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Day of the Week vs. Avg. Number of Complaints"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "days = pd.DatetimeIndex(complaints.index)\n",
+      "complaints['weekday'] = days.weekday"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 435
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "weekday_count = complaints.weekday.value_counts()\n",
+      "weekday_count.index = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']\n",
+      "day_count = [5,5,5,4,4,4,4]\n",
+      "weekday_count = weekday_count / day_count\n",
+      "weekday_count.plot(kind='barh', figsize =(12,10), title='Day vs Number of Complaints', \n",
+      "                   color = sb.cubehelix_palette(7, start=2.9, rot=.6, dark=0.2, light=.89, reverse=True))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 457,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x12521db00>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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8AwBAI8Q7AAA0QrwDAEAjxDsAADRCvAMAQCPEOwAANEK8AwBAI8Q7AAA0QrwDAEAjxDsA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\naMT/D8s9HK9ioN3CAAAAAElFTkSuQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x125c1add8>"
+       ]
+      }
+     ],
+     "prompt_number": 457
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "         Monday and Tuesday are clearly when people like to submit their complaints"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Submitted Via"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "submitted_via = complaints['Submitted via'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 472
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "submitted_via"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 473,
+       "text": [
+        "Web            8349\n",
+        "Referral       1603\n",
+        "Postal mail     723\n",
+        "Phone           710\n",
+        "Fax             154\n",
+        "Email             4\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 473
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "submitted_via.plot(kind='barh', title='Submit Method vs Number of Complaints', figsize=(12, 9),\n",
+      "                   color = sb.light_palette(\"navy\", reverse=True))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 524,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x1253b0cc0>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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8AxkuEI4ppVxaa/33u9n+1CT3T9JluJj5uVrr9bsYPy3Jo5LcI8nZtdaz1vqB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\n/x9QNbxr4PItkAAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x12f93f320>"
+       ]
+      }
+     ],
+     "prompt_number": 524
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "                        The Web Remains The Top Way To Submit Your Complaint"
+     ]
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
\ No newline at end of file
diff --git a/Consumer Complaints.ipynb b/Consumer Complaints.ipynb
new file mode 100644
index 0000000..0fb3d15
--- /dev/null
+++ b/Consumer Complaints.ipynb	
@@ -0,0 +1,683 @@
+{
+ "metadata": {
+  "name": "",
+  "signature": "sha256:4f6daef6cb638a149a3976c3a4fd78e55a1d45b804c7d7380122be250e5584e8"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "heading",
+     "level": 1,
+     "metadata": {},
+     "source": [
+      "Analyzing Consumer Complaint Data"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 6,
+     "metadata": {},
+     "source": [
+      "by Nick Foster"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Using pandas to read and analyze data from the CFPB Consumer Complaint Database. This database is a collection of all complaints made by American consumers to the Consumer Financial Protection Bureau in December 2014."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import pandas as pd\n",
+      "import seaborn as sb\n",
+      "import matplotlib.pyplot as plt\n",
+      "pd.set_option('display.mpl_style', 'default') \n",
+      "pd.set_option('display.width', 5000) \n",
+      "pd.set_option('display.max_columns', 60)\n",
+      "pd.options.display.mpl_style = 'default'\n",
+      "%matplotlib inline"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 419
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Importing the Consumer Complaint Database with Pandas"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints = pd.read_csv('complaints_dec_2014.csv')\n",
+      "complaints.index = pd.to_datetime(complaints.pop(\"Date received\"), format=\"%m/%d/%Y\")"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 420
+    },
+    {
+     "cell_type": "heading",
+     "level": 5,
+     "metadata": {},
+     "source": [
+      "Data Set Example"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints.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>Complaint ID</th>\n",
+        "      <th>Product</th>\n",
+        "      <th>Sub-product</th>\n",
+        "      <th>Issue</th>\n",
+        "      <th>Sub-issue</th>\n",
+        "      <th>State</th>\n",
+        "      <th>ZIP code</th>\n",
+        "      <th>Submitted via</th>\n",
+        "      <th>Date sent to company</th>\n",
+        "      <th>Company</th>\n",
+        "      <th>Company response</th>\n",
+        "      <th>Timely response?</th>\n",
+        "      <th>Consumer disputed?</th>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Date received</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>2014-12-31</th>\n",
+        "      <td> 1177167</td>\n",
+        "      <td> Debt collection</td>\n",
+        "      <td> NaN</td>\n",
+        "      <td> Cont'd attempts collect debt not owed</td>\n",
+        "      <td> Debt is not mine</td>\n",
+        "      <td> TX</td>\n",
+        "      <td> 77068</td>\n",
+        "      <td> Web</td>\n",
+        "      <td> 12/31/2014</td>\n",
+        "      <td>  Ad Astra Recovery Services Inc</td>\n",
+        "      <td>         Closed with explanation</td>\n",
+        "      <td> Yes</td>\n",
+        "      <td> NaN</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>2014-12-31</th>\n",
+        "      <td> 1177166</td>\n",
+        "      <td> Debt collection</td>\n",
+        "      <td> NaN</td>\n",
+        "      <td> Cont'd attempts collect debt not owed</td>\n",
+        "      <td> Debt is not mine</td>\n",
+        "      <td> TX</td>\n",
+        "      <td> 77068</td>\n",
+        "      <td> Web</td>\n",
+        "      <td> 12/31/2014</td>\n",
+        "      <td> Unique Management Services, Inc</td>\n",
+        "      <td>         Closed with explanation</td>\n",
+        "      <td> Yes</td>\n",
+        "      <td> NaN</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>2014-12-31</th>\n",
+        "      <td> 1177165</td>\n",
+        "      <td> Debt collection</td>\n",
+        "      <td> NaN</td>\n",
+        "      <td> Cont'd attempts collect debt not owed</td>\n",
+        "      <td> Debt is not mine</td>\n",
+        "      <td> TX</td>\n",
+        "      <td> 77068</td>\n",
+        "      <td> Web</td>\n",
+        "      <td> 12/31/2014</td>\n",
+        "      <td>                CL Holdings, LLC</td>\n",
+        "      <td>     Closed with monetary relief</td>\n",
+        "      <td> Yes</td>\n",
+        "      <td> NaN</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>2014-12-31</th>\n",
+        "      <td> 1177164</td>\n",
+        "      <td> Debt collection</td>\n",
+        "      <td> NaN</td>\n",
+        "      <td> Cont'd attempts collect debt not owed</td>\n",
+        "      <td> Debt is not mine</td>\n",
+        "      <td> TX</td>\n",
+        "      <td> 77068</td>\n",
+        "      <td> Web</td>\n",
+        "      <td> 12/31/2014</td>\n",
+        "      <td>  Enhanced Recovery Company, LLC</td>\n",
+        "      <td> Closed with non-monetary relief</td>\n",
+        "      <td> Yes</td>\n",
+        "      <td> NaN</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>2014-12-31</th>\n",
+        "      <td> 1177163</td>\n",
+        "      <td> Debt collection</td>\n",
+        "      <td> NaN</td>\n",
+        "      <td> Cont'd attempts collect debt not owed</td>\n",
+        "      <td> Debt is not mine</td>\n",
+        "      <td> TX</td>\n",
+        "      <td> 77068</td>\n",
+        "      <td> Web</td>\n",
+        "      <td> 12/31/2014</td>\n",
+        "      <td>      Enhanced Acquisitions, LLC</td>\n",
+        "      <td>         Closed with explanation</td>\n",
+        "      <td> Yes</td>\n",
+        "      <td> NaN</td>\n",
+        "    </tr>\n",
+        "  </tbody>\n",
+        "</table>\n",
+        "</div>"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 421,
+       "text": [
+        "               Complaint ID          Product Sub-product                                  Issue         Sub-issue State  ZIP code Submitted via Date sent to company                          Company                 Company response Timely response? Consumer disputed?\n",
+        "Date received                                                                                                                                                                                                                                                             \n",
+        "2014-12-31          1177167  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014   Ad Astra Recovery Services Inc          Closed with explanation              Yes                NaN\n",
+        "2014-12-31          1177166  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014  Unique Management Services, Inc          Closed with explanation              Yes                NaN\n",
+        "2014-12-31          1177165  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014                 CL Holdings, LLC      Closed with monetary relief              Yes                NaN\n",
+        "2014-12-31          1177164  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014   Enhanced Recovery Company, LLC  Closed with non-monetary relief              Yes                NaN\n",
+        "2014-12-31          1177163  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014       Enhanced Acquisitions, LLC          Closed with explanation              Yes                NaN"
+       ]
+      }
+     ],
+     "prompt_number": 421
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "product_complaints = complaints['Product'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 422
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Products/Services People are Complaining About"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "product_complaints"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 423,
+       "text": [
+        "Mortgage                   3002\n",
+        "Debt collection            2942\n",
+        "Credit reporting           2113\n",
+        "Bank account or service    1136\n",
+        "Credit card                1100\n",
+        "Consumer loan               578\n",
+        "Student loan                340\n",
+        "Payday loan                 141\n",
+        "Money transfers             107\n",
+        "Prepaid card                 70\n",
+        "Other financial service      14\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 423
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "pc = product_complaints"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 424
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "pc.sort()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 425
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "pc.plot(kind='barh', title='Products vs. Complaints', figsize=(10, 9), \n",
+      "        color = sb.cubehelix_palette(11, start=.5, rot=.1, dark=.2, light=.95))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 458,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x1243e7080>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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HnX+emQ8BI8BFwKPAPwAGa0mSJJZesN4feBBYCewH3NS07wbsC9wHbMzMTQAR8fdNv4dm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\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x1307a4978>"
+       ]
+      }
+     ],
+     "prompt_number": 458
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "                  Mortgage related issues are what people are complaining about the most"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Top 10 Companies with the Most Consumer Complaints"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "company_complaints = complaints['Company'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 462
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cc = company_complaints[:10]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 463
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cc.sort()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 429
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cc"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 430,
+       "text": [
+        "Capital One            252\n",
+        "Nationstar Mortgage    357\n",
+        "Citibank               403\n",
+        "Ocwen                  408\n",
+        "JPMorgan Chase         545\n",
+        "Wells Fargo            598\n",
+        "TransUnion             604\n",
+        "Experian               675\n",
+        "Equifax                737\n",
+        "Bank of America        766\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 430
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cc.plot(kind='barh', title='Companies vs. Complaints', figsize=(10, 9), \n",
+      "        color = sb.cubehelix_palette(10, start=2, rot=.3, dark=.2, light=.9))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 460,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x131543c18>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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Jkjpwxuv+dGjCrscYJEmSVCzDriRJkopl2JUkSVKxDLuSJEkqlmFXkiRJxTLsSpIkqViG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\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x1305d1518>"
+       ]
+      }
+     ],
+     "prompt_number": 460
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Bank of America has the most complaints against them at 766. However, that could be just because they have the most accounts. "
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "How Companies are Responding"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "company_response = complaints['Company response'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 432
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "company_response"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 433,
+       "text": [
+        "Closed with explanation            8185\n",
+        "Closed with non-monetary relief    1253\n",
+        "In progress                        1056\n",
+        "Closed with monetary relief         643\n",
+        "Closed                              239\n",
+        "Untimely response                   167\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 433
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.figure(figsize=[10, 10])\n",
+      "plt.subplot(111)\n",
+      "plt.title(\"Company Responses\")\n",
+      "colors = ['turquoise', 'lightgrey', 'lightgreen', 'lightskyblue', 'lightcoral', 'lightblue']\n",
+      "explode = (.05, 0, 0, 0, 0, 0)\n",
+      "plt.pie(company_response, explode=explode, shadow=True, colors=colors, labels=company_response.index.values, autopct='%1.1f%%', startangle=30)\n",
+      "plt.axis('equal')\n",
+      "plt.show"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 447,
+       "text": [
+        "<function matplotlib.pyplot.show>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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u8DoLEWUuFj+ibghXVux2xEHfP8mYPnXGV5rNzVyIiMhTX9vx/HeT0Z9/3VB/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\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x12f973a58>"
+       ]
+      }
+     ],
+     "prompt_number": 447
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "                71% of complaints are closed with an explanation via the CFPB"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Day of the Week vs. Avg. Number of Complaints"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "days = pd.DatetimeIndex(complaints.index)\n",
+      "complaints['weekday'] = days.weekday"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 435
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "weekday_count = complaints.weekday.value_counts()\n",
+      "weekday_count.index = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']\n",
+      "day_count = [5,5,5,4,4,4,4]\n",
+      "weekday_count = weekday_count / day_count\n",
+      "weekday_count.plot(kind='barh', figsize =(12,10), title='Day vs Number of Complaints', \n",
+      "                   color = sb.cubehelix_palette(7, start=2.9, rot=.6, dark=0.2, light=.89, reverse=True))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 457,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x12521db00>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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8AwBAI8Q7AAA0QrwDAEAjxDsAADRCvAMAQCPEOwAANEK8AwBAI8Q7AAA0QrwDAEAjxDsA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\naMT/D8s9HK9ioN3CAAAAAElFTkSuQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x125c1add8>"
+       ]
+      }
+     ],
+     "prompt_number": 457
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "         Monday and Tuesday are clearly when people like to submit their complaints"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Submitted Via"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "submitted_via = complaints['Submitted via'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 472
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "submitted_via"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 473,
+       "text": [
+        "Web            8349\n",
+        "Referral       1603\n",
+        "Postal mail     723\n",
+        "Phone           710\n",
+        "Fax             154\n",
+        "Email             4\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 473
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "submitted_via.plot(kind='barh', title='Submit Method vs Number of Complaints', figsize=(12, 9),\n",
+      "                   color = sb.light_palette(\"navy\", reverse=True))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 524,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x1253b0cc0>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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pp4zjt1ntIrZt27bau2zO/Py8Pk2kV9Po0zT6NJ1eTaNP0+nVNPq0vjZq6N+0+02SJGcm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\n/x9QNbxr4PItkAAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x12f93f320>"
+       ]
+      }
+     ],
+     "prompt_number": 524
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "                        The Web Remains The Top Way To Submit Your Complaint"
+     ]
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..129be01
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,4 @@
+ipython[all]
+matplotlib
+seaborn
+pandas