From 7118d201790a36da5b11bf82e64ac531d2bed618 Mon Sep 17 00:00:00 2001
From: Bret Runestad <bret.runestad@gmail.com>
Date: Mon, 2 Feb 2015 16:05:12 -0500
Subject: [PATCH 1/3] Normal mode complete

---
 consumer_complaints.ipynb | 799 ++++++++++++++++++++++++++++++++++++++
 requirements.txt          |   3 +
 2 files changed, 802 insertions(+)
 create mode 100644 consumer_complaints.ipynb
 create mode 100644 requirements.txt

diff --git a/consumer_complaints.ipynb b/consumer_complaints.ipynb
new file mode 100644
index 0000000..8cc65d7
--- /dev/null
+++ b/consumer_complaints.ipynb
@@ -0,0 +1,799 @@
+{
+ "metadata": {
+  "name": "",
+  "signature": "sha256:51ded45ffe5ee29b83a36832b506f4e4a3a35e68e6cb05b3bfb9f3974f9d73b8"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import pandas as pd\n",
+      "import numpy as np\n",
+      "import matplotlib.pyplot as plt\n",
+      "import seaborn as sns"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 84
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%matplotlib inline"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 85
+    },
+    {
+     "cell_type": "heading",
+     "level": 6,
+     "metadata": {},
+     "source": [
+      "First, we'll read in the data and take a look at a few entries to see what we've got:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cfpb_complaints = pd.read_csv(\"complaints_dec_2014.csv\")"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 86
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cfpb_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 received</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",
+        "  </thead>\n",
+        "  <tbody>\n",
+        "    <tr>\n",
+        "      <th>0</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> 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>1</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> 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>2</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> 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>3</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> 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>4</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> 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": 87,
+       "text": [
+        "   Complaint ID          Product Sub-product  \\\n",
+        "0       1177167  Debt collection         NaN   \n",
+        "1       1177166  Debt collection         NaN   \n",
+        "2       1177165  Debt collection         NaN   \n",
+        "3       1177164  Debt collection         NaN   \n",
+        "4       1177163  Debt collection         NaN   \n",
+        "\n",
+        "                                   Issue         Sub-issue State  ZIP code  \\\n",
+        "0  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068   \n",
+        "1  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068   \n",
+        "2  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068   \n",
+        "3  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068   \n",
+        "4  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068   \n",
+        "\n",
+        "  Submitted via Date received Date sent to company  \\\n",
+        "0           Web    12/31/2014           12/31/2014   \n",
+        "1           Web    12/31/2014           12/31/2014   \n",
+        "2           Web    12/31/2014           12/31/2014   \n",
+        "3           Web    12/31/2014           12/31/2014   \n",
+        "4           Web    12/31/2014           12/31/2014   \n",
+        "\n",
+        "                           Company                 Company response  \\\n",
+        "0   Ad Astra Recovery Services Inc          Closed with explanation   \n",
+        "1  Unique Management Services, Inc          Closed with explanation   \n",
+        "2                 CL Holdings, LLC      Closed with monetary relief   \n",
+        "3   Enhanced Recovery Company, LLC  Closed with non-monetary relief   \n",
+        "4       Enhanced Acquisitions, LLC          Closed with explanation   \n",
+        "\n",
+        "  Timely response? Consumer disputed?  \n",
+        "0              Yes                NaN  \n",
+        "1              Yes                NaN  \n",
+        "2              Yes                NaN  \n",
+        "3              Yes                NaN  \n",
+        "4              Yes                NaN  "
+       ]
+      }
+     ],
+     "prompt_number": 87
+    },
+    {
+     "cell_type": "heading",
+     "level": 6,
+     "metadata": {},
+     "source": [
+      "Sorting complaints by product type:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_product = cfpb_complaints.Product.value_counts()\n",
+      "print(complaints_by_product)\n",
+      "complaints_by_product.plot(kind='bar', figsize=(18,5))\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "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\n"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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yYey+GxEXANtGxJmUYURqxgzgRxHxI8oQxKHMPLDlmrrsCOD8iNiGMqT5XcAb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\ntG6VAAAAAElFTkSuQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10a40b0f0>"
+       ]
+      }
+     ],
+     "prompt_number": 169
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_product.plot(kind='pie', figsize = (9,9))\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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V5yACAM0E15yheStcUW3Vd679EysUrVCdhcoHS9IsCSciVU1rFr0nFHe4n41K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\n7mNj7j31kYREr1f0nrZJl/yiONTn3XXgP4Y/Th+XL5WKM42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k18x6W+/ziLasJiYVnX9x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\nE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+       "text": [
+        "<matplotlib.figure.Figure at 0x10a38d668>"
+       ]
+      }
+     ],
+     "prompt_number": 111
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "This raw data is fairly useful in determining what sorts of product complaints the bureau receives.  The charts give an easy visualization of this.  Basically half the complaints are related to either mortgages or debt collection."
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 6,
+     "metadata": {},
+     "source": [
+      "Sorting complaints by company:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_company = cfpb_complaints.Company.value_counts()\n",
+      "top10_complaints_by_company = complaints_by_company[:10]\n",
+      "print(top10_complaints_by_company)\n",
+      "top10_complaints_by_company.plot(kind='bar', figsize=(18,5))\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "Bank of America        766\n",
+        "Equifax                737\n",
+        "Experian               675\n",
+        "TransUnion             604\n",
+        "Wells Fargo            598\n",
+        "JPMorgan Chase         545\n",
+        "Ocwen                  408\n",
+        "Citibank               403\n",
+        "Nationstar Mortgage    357\n",
+        "Capital One            252\n",
+        "dtype: int64\n"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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nwDDVeLy0cE297uaIOB24AngK8OvC9fS6gYg4Brh3RBwB3Fa6IPGT+vX8Oqrf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\nAACYyl8f9rsrt2OGZAAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10a68a080>"
+       ]
+      }
+     ],
+     "prompt_number": 97
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "We can see that the big banks and credit rating services are the main companies.  In my opinion, this data isn't tremendously useful without the ability to see how these numbers compare to the total number of users/customers of these companies.  If we had that data, we would be able to see which of these companies cause higher/lower relative complaint rates among their users/customers."
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 6,
+     "metadata": {},
+     "source": [
+      "Sorting complaints by type of company response:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_company_response = cfpb_complaints[\"Company response\"].value_counts()\n",
+      "print(complaints_by_company_response)\n",
+      "complaints_by_company_response.plot(kind='bar', figsize=(18,5))\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "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\n"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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QJEmSJEmNWC5IkiRJkqRGLBckSZIkSVIjlguSJEmSJKkRywVJkiRJktSI5YIkSZIkSWrE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\n616WC93nQ1SFwuFUW7AsAg4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wXpJfNAslSdIeWFyQNDJJLgE2An8EViT5edtEktRb3wEu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\nJEmSJGmv/A9Zqh6q50SNbgAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10a681278>"
+       ]
+      }
+     ],
+     "prompt_number": 108
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_company_response.plot(kind='pie', figsize = (6,6))\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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8EcDtAOYAcCI2M/I4gJsBzAXwWc75e4yxr8a3kwH8nXP+2EAGxtizAJ7lnL/O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\nHrEPI+cafFrTKQDfjT/fVwBcaPbh5Dn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dP5brCQ4M8JfyQ9u31NV86+2G+k1jsQ4R2QgU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\nYWqMMcaE6P8Al0UspCaFFEIAAAAASUVORK5CYII=\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10bb2c6a0>"
+       ]
+      }
+     ],
+     "prompt_number": 109
+    },
+    {
+     "cell_type": "heading",
+     "level": 6,
+     "metadata": {},
+     "source": [
+      "Let's take a look at the days of the week"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cfpb_complaints['dates'] = pd.to_datetime(cfpb_complaints.pop('Date received'), format=\"%m/%d/%Y\")"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 93
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cfpb_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",
+        "      <th>dates</th>\n",
+        "    </tr>\n",
+        "  </thead>\n",
+        "  <tbody>\n",
+        "    <tr>\n",
+        "      <th>0</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",
+        "      <td>2014-12-31</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>1</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",
+        "      <td>2014-12-31</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>2</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",
+        "      <td>2014-12-31</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>3</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",
+        "      <td>2014-12-31</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>4</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",
+        "      <td>2014-12-31</td>\n",
+        "    </tr>\n",
+        "  </tbody>\n",
+        "</table>\n",
+        "</div>"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 95,
+       "text": [
+        "   Complaint ID          Product Sub-product  \\\n",
+        "0       1177167  Debt collection         NaN   \n",
+        "1       1177166  Debt collection         NaN   \n",
+        "2       1177165  Debt collection         NaN   \n",
+        "3       1177164  Debt collection         NaN   \n",
+        "4       1177163  Debt collection         NaN   \n",
+        "\n",
+        "                                   Issue         Sub-issue State  ZIP code  \\\n",
+        "0  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068   \n",
+        "1  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068   \n",
+        "2  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068   \n",
+        "3  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068   \n",
+        "4  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068   \n",
+        "\n",
+        "  Submitted via Date sent to company                          Company  \\\n",
+        "0           Web           12/31/2014   Ad Astra Recovery Services Inc   \n",
+        "1           Web           12/31/2014  Unique Management Services, Inc   \n",
+        "2           Web           12/31/2014                 CL Holdings, LLC   \n",
+        "3           Web           12/31/2014   Enhanced Recovery Company, LLC   \n",
+        "4           Web           12/31/2014       Enhanced Acquisitions, LLC   \n",
+        "\n",
+        "                  Company response Timely response? Consumer disputed?  \\\n",
+        "0          Closed with explanation              Yes                NaN   \n",
+        "1          Closed with explanation              Yes                NaN   \n",
+        "2      Closed with monetary relief              Yes                NaN   \n",
+        "3  Closed with non-monetary relief              Yes                NaN   \n",
+        "4          Closed with explanation              Yes                NaN   \n",
+        "\n",
+        "       dates  \n",
+        "0 2014-12-31  \n",
+        "1 2014-12-31  \n",
+        "2 2014-12-31  \n",
+        "3 2014-12-31  \n",
+        "4 2014-12-31  "
+       ]
+      }
+     ],
+     "prompt_number": 95
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_day = cfpb_complaints.dates.dt.weekday\n",
+      "# complaints_by_day"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 162
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "total_complaints_by_day = complaints_by_day.value_counts()\n",
+      "print(total_complaints_by_day)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "1    2580\n",
+        "0    2544\n",
+        "2    2289\n",
+        "3    1634\n",
+        "4    1446\n",
+        "5     543\n",
+        "6     507\n",
+        "dtype: int64\n"
+       ]
+      }
+     ],
+     "prompt_number": 163
+    },
+    {
+     "cell_type": "code",
+     "collapsed": true,
+     "input": [
+      "total_complaints_by_day = total_complaints_by_day.sort_index()\n",
+      "total_complaints_by_day"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 164,
+       "text": [
+        "0    2544\n",
+        "1    2580\n",
+        "2    2289\n",
+        "3    1634\n",
+        "4    1446\n",
+        "5     543\n",
+        "6     507\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 164
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "total_complaints_by_day.index = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']\n",
+      "print(total_complaints_by_day)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "Monday       2544\n",
+        "Tuesday      2580\n",
+        "Wednesday    2289\n",
+        "Thursday     1634\n",
+        "Friday       1446\n",
+        "Saturday      543\n",
+        "Sunday        507\n",
+        "dtype: int64\n"
+       ]
+      }
+     ],
+     "prompt_number": 165
+    },
+    {
+     "cell_type": "heading",
+     "level": 6,
+     "metadata": {},
+     "source": [
+      "Here I cheat by looking up in a calendar, how many of each weekday there was in December 2014"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "# 3 * Mon, Tues, Wed   4* rest of the week\n",
+      "\n",
+      "avg_complaints_by_day = total_complaints_by_day.copy()\n",
+      "avg_complaints_by_day[['Monday', 'Tuesday', 'Wednesday']] = avg_complaints_by_day[['Monday', 'Tuesday', 'Wednesday']]/5\n",
+      "avg_complaints_by_day[['Thursday', 'Friday', 'Saturday', 'Sunday']] = (\n",
+      "avg_complaints_by_day[['Thursday', 'Friday', 'Saturday', 'Sunday']]/4)\n",
+      "\n",
+      "avg_complaints_by_day"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 166,
+       "text": [
+        "Monday       508.80\n",
+        "Tuesday      516.00\n",
+        "Wednesday    457.80\n",
+        "Thursday     408.50\n",
+        "Friday       361.50\n",
+        "Saturday     135.75\n",
+        "Sunday       126.75\n",
+        "dtype: float64"
+       ]
+      }
+     ],
+     "prompt_number": 166
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "avg_complaints_by_day.plot(kind='bar', figsize=(18,5))\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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cpqK7r8/sWsDvSXJtkk+Nm4gpqarvSnJ1Zp+D/k1VvX7cREzIC6rKLyTYV89J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\n9wAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10bb64860>"
+       ]
+      }
+     ],
+     "prompt_number": 167
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "avg_complaints_by_day.plot(kind='pie', figsize=(6,6))\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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QeEQIFKWkqH5jLjFn/32n3f7h7g6x6wmGlj1Nzoy8c2hDvxin0loStCYWs6fV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\nxa5jON5qsHc826O3TZ3/M0t2RmmK2PV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+       "text": [
+        "<matplotlib.figure.Figure at 0x10a7159b0>"
+       ]
+      }
+     ],
+     "prompt_number": 168
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Complaining to the CFPB is weekday work!  The most common days of the week for complaints are Monday and Tuesday.  Complaints trail off as the week goes on and significantly dip over the weekend."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..60e753d
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,3 @@
+ipython[all]
+matplotlib
+seaborn

From 4d9578b7d45860786293e9a36720eadbefd1b4af Mon Sep 17 00:00:00 2001
From: Bret Runestad <bret.runestad@gmail.com>
Date: Mon, 2 Feb 2015 20:53:51 -0500
Subject: [PATCH 2/3] changed readme, added census data

---
 README.md                 |  80 +----
 census2014.csv            |  58 ++++
 consumer_complaints.ipynb | 653 +++++++++++++++++++++++++++++++++++++-
 3 files changed, 710 insertions(+), 81 deletions(-)
 create mode 100644 census2014.csv

diff --git a/README.md b/README.md
index 61923fe..6916566 100644
--- a/README.md
+++ b/README.md
@@ -1,78 +1,2 @@
-# Analyze Consumer Complaint Data
-
-## Description
-
-Use pandas to read and analyze data from the [CFPB Consumer Complaint
-Database](http://www.consumerfinance.gov/complaintdatabase/). This database is
-a collection of all complaints made by American consumers to the Consumer
-Financial Protection Bureau.
-
-## Objectives
-
-### Learning Objectives
-
-After completing this assignment, you should understand:
-
-* the joy and power of Pandas
-
-### Performance Objectives
-
-After completing this assignment, you should be able to:
-
-* read in CSV files using Pandas
-* pull out and summarize data
-* turn Pandas data frames into charts
-
-## Details
-
-### Deliverables
-
-* A Git repo called consumer-complaints containing at least:
-  * `README.md` file explaining how to run your project
-  * a `requirements.txt` file
-  * an IPython notebook and/or a Python package called consumer-complaints
-
-### Requirements  
-
-* No PEP8 or Pyflakes warnings or errors
-
-## Normal Mode
-
-Use Pandas to read in the included file, `complaints_dec_2014.csv`.
-
-Calculate and chart:
-
-* Number of complaints by product
-* Number of complaints by company (top 10 companies only)
-* Number of complaints by company response
-* Mean number of complaints by day of week
-* Any other insights you find interesting
-
-Write up a summary of what you found from each chart you made.
-
-## Hard Mode
-
-In addition to the requirements from **Normal Mode**:
-
-* Combine the complaints data with US population by state data (find this
-  yourself) and then chart the frequency of complaints by state per capita.
-* Find statistically significant outliers of complaints by ZIP code. Look these
-  up to see if there's a possible reason (military bases are often surrounded
-  by predatory lending companies, for example.)
-
-## Nightmare Mode
-
-In addition to the requirements from **Hard Mode**:
-
-* Take the frequency of complaints by state per capita and then make a chart
-  of the US, with frequency of complaints matched to a scale of lighter color
-  (low frequency) to darker color (high frequency), with a legend.
-
-## Additional Resources
-
-* [CFPB Consumer Complaint Database data and visualizations](http://www.consumerfinance.gov/complaintdatabase/)
-
-## Credit
-
-The [Consumer Financial Protection Bureau](http://www.consumerfinance.gov/) is
-pretty great! Thanks for making your data public.
+This project is basically self-contained within the consumer_complaints.ipynb.
+Requirements.txt contains the necessary programs to run
diff --git a/census2014.csv b/census2014.csv
new file mode 100644
index 0000000..2471ed9
--- /dev/null
+++ b/census2014.csv
@@ -0,0 +1,58 @@
+SUMLEV,REGION,DIVISION,STATE,NAME,CENSUS2010POP,ESTIMATESBASE2010,POPESTIMATE2010,POPESTIMATE2011,POPESTIMATE2012,POPESTIMATE2013,POPESTIMATE2014,NPOPCHG_2010,NPOPCHG_2011,NPOPCHG_2012,NPOPCHG_2013,NPOPCHG_2014,BIRTHS2010,BIRTHS2011,BIRTHS2012,BIRTHS2013,BIRTHS2014,DEATHS2010,DEATHS2011,DEATHS2012,DEATHS2013,DEATHS2014,NATURALINC2010,NATURALINC2011,NATURALINC2012,NATURALINC2013,NATURALINC2014,INTERNATIONALMIG2010,INTERNATIONALMIG2011,INTERNATIONALMIG2012,INTERNATIONALMIG2013,INTERNATIONALMIG2014,DOMESTICMIG2010,DOMESTICMIG2011,DOMESTICMIG2012,DOMESTICMIG2013,DOMESTICMIG2014,NETMIG2010,NETMIG2011,NETMIG2012,NETMIG2013,NETMIG2014,RESIDUAL2010,RESIDUAL2011,RESIDUAL2012,RESIDUAL2013,RESIDUAL2014,RBIRTH2011,RBIRTH2012,RBIRTH2013,RBIRTH2014,RDEATH2011,RDEATH2012,RDEATH2013,RDEATH2014,RNATURALINC2011,RNATURALINC2012,RNATURALINC2013,RNATURALINC2014,RINTERNATIONALMIG2011,RINTERNATIONALMIG2012,RINTERNATIONALMIG2013,RINTERNATIONALMIG2014,RDOMESTICMIG2011,RDOMESTICMIG2012,RDOMESTICMIG2013,RDOMESTICMIG2014,RNETMIG2011,RNETMIG2012,RNETMIG2013,RNETMIG2014
+10,0,0,0,United States,308745538,308758105,309347057,311721632,314112078,316497531,318857056,588952,2374575,2390446,2385453,2359525,987836,3973485,3936976,3955128,3957577,598716,2512492,2501531,2568627,2593996,389120,1460993,1435445,1386501,1363581,199832,913582,955001,998952,995944,X,X,X,X,X,199832,913582,955001,998952,995944,0,0,0,0,0,12.79563781,12.58154023,12.54382408,12.45785293,8.090866742,7.994235402,8.146488615,8.165506484,4.704771069,4.587304829,4.397335468,4.292346441,2.941967664,3.051932118,3.168210524,3.135080852,X,X,X,X,2.941967664,3.051932118,3.168210524,3.135080852
+20,1,0,0,Northeast Region,55317240,55318348,55381690,55635670,55832038,56028220,56152333,63342,253980,196368,196182,124113,158640,646248,637883,638177,637853,110781,470859,460981,473411,478007,47859,175389,176902,164766,159846,52822,248097,244851,262458,262204,-35066,-160501,-222244,-214111,-286696,17756,87596,22607,48347,-24492,-2273,-9005,-3141,-16931,-11241,11.6422873,11.44516222,11.41025439,11.37189973,8.482619295,8.271112922,8.46432877,8.522100974,3.159668002,3.174049295,2.945925621,2.849798753,4.4695172,4.393218528,4.692604946,4.674678329,-2.891457696,-3.987594326,-3.82818713,-5.111331551,1.578059504,0.405624201,0.864417817,-0.436653223
+20,2,0,0,Midwest Region,66927001,66929898,66972390,67149657,67331458,67567871,67745108,42492,177267,181801,236413,177237,208629,834908,830703,831117,829620,140802,586908,584851,584006,586099,67827,248000,245852,247111,243521,24672,113685,119912,127603,127607,-49056,-182943,-183531,-131043,-182057,-24384,-69258,-63619,-3440,-54450,-951,-1475,-432,-7258,-11834,12.44997402,12.35419561,12.32203312,12.26223835,8.751849724,8.697890406,8.658397404,8.662864484,3.698124291,3.656305199,3.663635718,3.599373864,1.695247016,1.783328462,1.89182557,1.886101406,-2.728007872,-2.729468744,-1.942826565,-2.690902253,-1.032760855,-0.946140281,-0.051000995,-0.804800846
+20,3,0,0,South Region,114555744,114562951,114871231,116089908,117346322,118522802,119771934,308280,1218677,1256414,1176480,1249132,377272,1509622,1505000,1508186,1511280,228750,962677,960469,999068,1007640,148522,546945,544531,509118,503640,76002,331528,356244,361400,358956,81882,324162,350515,291575,365289,157884,655690,706759,652975,724245,1874,16042,5124,14387,21247,13.07251953,12.89431379,12.78832918,12.68412408,8.336268207,8.228962574,8.471375847,8.457089879,4.736251322,4.665351218,4.316953329,4.227034205,2.870855257,3.052174035,3.064411262,3.01270608,2.807069634,3.003089966,2.472345639,3.065858744,5.677924891,6.055264001,5.536756901,6.078564824
+20,4,0,0,West Region,71945553,71946908,72121746,72846397,73602260,74378638,75187681,174838,724651,755863,776378,809043,243295,982707,963390,977648,978824,118383,492048,495230,512142,522250,124912,490659,468160,465506,456574,46336,220272,233994,247491,247177,2240,19282,55260,53579,103464,48576,239554,289254,301070,350641,1350,-5562,-1551,9802,1828,13.55755795,13.15669286,13.21316485,13.08882918,6.788360392,6.763189368,6.921731209,6.983524145,6.769197561,6.393503493,6.291433642,6.105305032,3.03890214,3.195577273,3.344904692,3.305249493,0.266017066,0.754667214,0.724134003,1.383520042,3.304919206,3.950244487,4.069038694,4.688769535
+40,3,6,1,Alabama,4779736,4780127,4785822,4801695,4817484,4833996,4849377,5695,15873,15789,16512,15381,14966,59691,59066,58036,58059,11097,48810,48380,49746,49793,3869,10881,10686,8290,8266,1352,4949,5626,5626,5606,489,-98,-810,1913,2034,1841,4851,4816,7539,7640,-15,141,287,683,-525,12.45181625,12.28088177,12.02634207,11.99148272,10.18198977,10.05907053,10.30847083,10.28422637,2.269826484,2.221811238,1.717871249,1.707256346,1.032384089,1.169746399,1.165831562,1.157861006,-0.020443249,-0.168413541,0.396415887,0.420101549,1.011940839,1.001332858,1.562247448,1.577962555
+40,4,9,2,Alaska,710231,710249,713856,722572,731081,737259,736732,3607,8716,8509,6178,-527,2754,11705,11118,11190,11221,928,3916,3939,4053,4245,1826,7789,7179,7137,6976,568,1525,2751,2352,2115,1169,-844,-1417,-2782,-10137,1737,681,1334,-430,-8022,44,246,-4,-529,519,16.29737098,15.29663544,15.24170151,15.22533041,5.452413905,5.419450171,5.520519771,5.759872347,10.84495707,9.877185271,9.721181743,9.465458066,2.123322575,3.784947302,3.203617691,2.86975972,-1.175137215,-1.949571184,-3.789313102,-13.75449375,0.94818536,1.835376118,-0.585695411,-10.88473403
+40,4,8,4,Arizona,6392017,6392310,6411999,6472867,6556236,6634997,6731484,19689,60868,83369,78761,96487,22274,86100,85576,86907,86868,11485,48152,48752,50565,51748,10789,37948,36824,36342,35120,2274,12673,13185,14127,14234,6337,8823,33428,25792,41975,8611,21496,46613,39919,56209,289,1424,-68,2500,5158,13.36451617,13.13613071,13.17647865,12.99788628,7.47419492,7.483554317,7.666455441,7.742950445,5.89032125,5.65257639,5.51002321,5.254935835,1.967113977,2.023930581,2.141877109,2.129805145,1.36951366,5.13128187,3.910475996,6.280635868,3.336627637,7.15521245,6.052353105,8.410441013
+40,3,7,5,Arkansas,2915918,2915958,2922297,2938430,2949300,2958765,2966369,6339,16133,10870,9465,7604,9396,38444,38603,38199,38049,7012,29422,29742,29171,29231,2384,9022,8861,9028,8818,734,2861,3070,3220,3233,3111,3931,-1239,-1715,-3890,3845,6792,1831,1505,-657,110,319,178,-1068,-557,13.11919153,13.11303338,12.93113735,12.84325384,10.0403926,10.10304481,9.874975986,9.866781072,3.078798927,3.009988569,3.056161366,2.976472768,0.976329387,1.042846734,1.090035401,1.091283336,1.3414718,-0.420875278,-0.580562333,-1.313050473,2.317801188,0.621971456,0.509473068,-0.221767136
+40,4,9,6,California,37253956,37254503,37336011,37701901,38062780,38431393,38802500,81508,365890,360879,368613,371107,125963,509766,497426,505709,505903,57291,238453,239657,250656,255787,68672,271313,257769,255053,250116,29904,147204,149511,160919,161318,-17822,-43600,-44472,-51298,-32090,12082,103604,105039,109621,129228,754,-9027,-1929,3939,-8237,13.58689192,13.13081487,13.22215746,13.10054383,6.355533987,6.326351457,6.553597226,6.623698225,7.23135793,6.804463415,6.668560231,6.476845599,3.923456719,3.94672024,4.207353154,4.177388805,-1.162079243,-1.173950696,-1.341226344,-0.830982325,2.761377475,2.772769544,2.866126809,3.34640648
+40,4,8,8,Colorado,5029196,5029324,5048575,5119661,5191709,5272086,5355866,19251,71086,72048,80377,83780,16323,65918,64739,65578,66284,7837,32019,32703,33689,34337,8486,33899,32036,31889,31947,1911,8896,10864,10852,10685,8306,26353,28633,36506,40318,10217,35249,39497,47358,51003,548,1938,515,1130,830,12.96547405,12.55681835,12.53426697,12.47352265,6.297847532,6.343095049,6.439155201,6.461640023,6.667626519,6.213723298,6.095111764,6.011882628,1.749762692,2.107188473,2.074199657,2.010735464,5.183396609,5.553675215,6.977583181,7.587162607,6.933159301,7.660863687,9.051782838,9.597898071
+40,1,1,9,Connecticut,3574097,3574096,3579345,3590537,3594362,3599341,3596677,5249,11192,3825,4979,-2664,9206,37633,36851,36365,36499,6833,29323,29094,29484,29579,2373,8310,7757,6881,6920,3380,16137,16354,17098,17022,-325,-12133,-20159,-17019,-26216,3055,4004,-3805,79,-9194,-179,-1122,-127,-1981,-390,10.49752283,10.25790342,10.11023113,10.14422143,8.179493052,8.098652465,8.197169108,8.220935523,2.318029781,2.159250951,1.913062021,1.923285906,4.501329311,4.552325649,4.753601865,4.730949811,-3.384435058,-5.611491546,-4.731638212,-7.286251924,1.116894253,-1.059165898,0.021963654,-2.555302113
+40,3,5,10,Delaware,897934,897936,899731,907829,916881,925240,935614,1795,8098,9052,8359,10374,2796,11300,11157,11013,11134,1840,7876,7699,8152,8278,956,3424,3458,2861,2856,536,2202,2393,2403,2387,260,2591,3283,3129,4790,796,4793,5676,5532,7177,43,-119,-82,-34,341,12.50304278,12.22879252,11.95686928,11.96654869,8.714510168,8.438601202,8.850667247,8.896990307,3.788532608,3.790191318,3.106202036,3.069558386,2.436433645,2.62288254,2.608949141,2.565488749,2.866848127,3.598380017,3.397170979,5.148173903,5.303281772,6.221262557,6.006120119,7.713662652
+40,3,5,11,District of Columbia,601723,601767,605210,620427,635040,649111,658893,3443,15217,14613,14071,9782,2311,9196,9234,9595,9647,1180,4675,4541,5046,5228,1131,4521,4693,4549,4419,733,3354,3509,3770,3760,1426,6945,6281,6278,1173,2159,10299,9790,10048,4933,153,397,130,-526,430,15.00607439,14.71006406,14.94372547,14.75071942,7.628686144,7.233961546,7.858888869,7.993859346,7.377388248,7.476102518,7.084836596,6.756860071,5.47307237,5.589951787,5.871583638,5.749217892,11.33288241,10.00583847,9.777666334,1.793572497,16.80595478,15.59579025,15.64924997,7.542790389
+40,3,5,12,Florida,18801310,18804623,18852220,19107900,19355257,19600311,19893297,47597,255680,247357,245054,292986,53470,213209,214048,213306,214567,41814,174496,173743,183706,187102,11656,38713,40305,29600,27465,24148,110449,107644,112654,112306,11856,105157,98568,95807,138546,36004,215606,206212,208461,250852,-63,1361,840,6993,14669,11.23331539,11.13002763,10.95124579,10.86591025,9.193648492,9.03425582,9.431565726,9.475052267,2.039666893,2.095771806,1.519680062,1.390857984,5.819212373,5.597252456,5.783717491,5.687300082,5.540393445,5.125320316,4.918783369,7.01612271,11.35960582,10.72257277,10.70250086,12.70342279
+40,3,5,13,Georgia,9687653,9688681,9714464,9813201,9919000,9994759,10097343,25783,98737,105799,75759,102584,33638,132632,131870,129463,129389,17216,71088,70390,74515,75557,16422,61544,61480,54948,53832,5310,22156,25396,24997,24818,3551,10797,18274,-5744,22106,8861,32953,43670,19253,46924,500,4240,649,1558,1828,13.58401017,13.36596967,13.00236686,12.87958821,7.280747596,7.134531014,7.483770392,7.521064745,6.303262577,6.231438652,5.518596464,5.358523464,2.269190915,2.574066623,2.510525512,2.470423453,1.105815775,1.852200877,-0.576887568,2.200466631,3.375006689,4.426267501,1.933637944,4.670890084
+40,4,9,15,Hawaii,1360301,1360301,1363950,1378251,1392766,1408987,1419561,3649,14301,14515,16221,10574,4620,19157,18896,18936,19125,2527,10051,10233,11095,11482,2093,9106,8663,7841,7643,2004,6833,9537,9003,8591,-431,-999,-3557,-929,-5141,1573,5834,5980,8074,3450,-17,-639,-128,306,-519,13.9719882,13.63831402,13.51725152,13.52283928,7.330607786,7.385735995,7.920041488,8.118653104,6.641380409,6.252578025,5.597210032,5.404186176,4.983588001,6.883393353,6.426690718,6.074494758,-0.728611798,-2.567288472,-0.663156245,-3.635080614,4.254976203,4.316104881,5.763534473,2.439414145
+40,4,8,16,Idaho,1567582,1567652,1570639,1583780,1595590,1612843,1634464,2987,13141,11810,17253,21621,5677,22952,22360,22892,22945,2570,11889,11897,11613,11628,3107,11063,10463,11279,11317,362,1411,1609,1689,1695,-427,92,-260,4791,7694,-65,1503,1349,6480,9389,-55,575,-2,-506,915,14.55228364,14.06567968,14.26989437,14.13170975,7.537996696,7.483872591,7.239047847,7.161626542,7.014286942,6.581807088,7.030846522,6.970083211,0.894617995,1.012150206,1.05285041,1.043941949,0.058330869,-0.163554415,2.986504627,4.738695787,0.952948863,0.848595791,4.039355037,5.782637736
+40,2,3,17,Illinois,12830632,12831587,12840097,12858725,12873763,12890552,12880580,8510,18628,15038,16789,-9972,40835,162430,160131,157924,157330,24075,101607,101249,103075,103766,16760,60823,58882,54849,53564,5614,28809,29697,32270,32453,-13633,-69705,-73215,-67478,-94956,-8019,-40896,-43518,-35208,-62503,-231,-1299,-326,-2852,-1033,12.64104635,12.44582335,12.25912663,12.20978574,7.907521987,7.86935177,8.001377099,8.052886462,4.733524362,4.576471579,4.257749527,4.156899278,2.242048293,2.308132816,2.505015173,2.518554482,-5.424762271,-5.690471905,-5.238097733,-7.369175712,-3.182713978,-3.382339088,-2.73308256,-4.85062123
+40,2,3,18,Indiana,6483802,6484192,6490308,6516560,6537632,6570713,6596855,6116,26252,21072,33081,26142,20818,83468,83073,83306,83206,13872,57889,58628,58073,58212,6946,25579,24445,25233,24994,2197,9485,9441,10400,10472,-3039,-8471,-12755,-1515,-7849,-842,1014,-3314,8885,2623,12,-341,-59,-1037,-1475,12.83445023,12.72740588,12.71037648,12.63802093,8.901297376,8.982248767,8.860462553,8.841723848,3.933152854,3.745157111,3.849913929,3.796297084,1.458460254,1.44643192,1.586775447,1.59057466,-1.302542626,-1.954161544,-0.231150462,-1.192171554,0.155917628,-0.507729624,1.355624986,0.398403107
+40,2,4,19,Iowa,3046355,3046869,3050295,3064904,3075935,3092341,3107126,3426,14609,11031,16406,14785,9643,37851,38470,38754,38673,6881,28207,28044,27665,27706,2762,9644,10426,11089,10967,988,4871,4877,5343,5368,-213,280,-4295,463,-810,775,5151,582,5806,4558,-111,-186,23,-489,-740,12.37931914,12.52923257,12.56558559,12.47623384,9.225210823,9.133605359,8.970091481,8.938187751,3.154108313,3.39562721,3.595494106,3.538046093,1.5930798,1.588382304,1.732412752,1.731761779,0.091575107,-1.398831658,0.150122984,-0.261312787,1.684654907,0.189550646,1.882535736,1.470448992
+40,2,4,20,Kansas,2853118,2853132,2858949,2869965,2885966,2895801,2904021,5817,11016,16001,9835,8220,10166,40113,39585,40344,40001,5993,25180,24968,23998,24023,4173,14933,14617,16346,15978,1305,5014,6517,6091,5947,457,-9043,-5151,-12632,-13804,1762,-4029,1366,-6541,-7857,-118,112,18,30,99,14.00370123,13.75450818,13.95559524,13.79387161,8.790496768,8.675573074,8.301268453,8.284047338,5.213204457,5.078935102,5.654326783,5.509824267,1.750419015,2.264446881,2.106968337,2.050752592,-3.156968319,-1.789806028,-4.369598429,-4.760146087,-1.406549304,0.474640853,-2.262630092,-2.709393495
+40,3,6,21,Kentucky,4339367,4339349,4349838,4370038,4383465,4399583,4413457,10489,20200,13427,16118,13874,13953,55315,55296,55560,55221,10520,42531,42870,42816,42647,3433,12784,12426,12744,12574,1368,5149,6439,6125,5979,5539,2603,-5564,-2381,-3785,6907,7752,875,3744,2194,149,-336,126,-370,-894,12.68710702,12.63402777,12.6516444,12.53165764,9.754955231,9.79493581,9.74969054,9.678158728,2.932151788,2.839091961,2.901953855,2.853498906,1.180980097,1.471182451,1.394732216,1.356853027,0.597026839,-1.271262488,-0.542180801,-0.858954458,1.778006935,0.199919964,0.852551415,0.497898569
+40,3,7,22,Louisiana,4533372,4533479,4545581,4575972,4604744,4629284,4649676,12102,30391,28772,24540,20392,15260,62301,62261,62324,62349,9182,40755,40733,43057,42896,6078,21546,21528,19267,19453,1804,6775,7774,7627,7519,4039,2074,-771,-2294,-6085,5843,8849,7003,5333,1434,181,-4,241,-60,-495,13.66017388,13.56343013,13.49876782,13.43879055,8.935978336,8.873599837,9.325724375,9.245863761,4.72419554,4.689830292,4.173043443,4.192926794,1.485492657,1.693549828,1.651933479,1.620655763,0.454747125,-0.167960756,-0.496857926,-1.3115694,1.940239782,1.525589072,1.155075553,0.309086363
+40,1,1,23,Maine,1328361,1328361,1327361,1327930,1328592,1328702,1330089,-1000,569,662,110,1387,3135,12631,12796,12748,12662,3105,13028,12751,12988,13137,30,-397,45,-240,-475,239,1181,1331,1389,1377,-1276,82,-621,-1465,531,-1037,1263,710,-76,1908,7,-297,-93,426,-46,9.51383483,9.633648809,9.594723053,9.524629804,9.812860436,9.599769925,9.775357939,9.88193506,-0.299025606,0.033878884,-0.180634886,-0.357305256,0.889544686,1.002062095,1.045424405,1.035809133,0.061763475,-0.467528596,-1.102625453,0.399429666,0.951308162,0.534533499,-0.057201047,1.435238798
+40,3,5,24,Maryland,5773552,5773785,5788101,5843833,5891819,5938737,5976407,14316,55732,47986,46918,37670,18139,73548,72718,72854,73047,10622,43665,43458,46481,47373,7517,29883,29260,26373,25674,6111,26411,27639,29072,28954,840,366,-8403,-8955,-15295,6951,26777,19236,20117,13659,-152,-928,-510,428,-1663,12.64587643,12.39266468,12.31624279,12.26120305,7.507779876,7.40615008,7.857787918,7.951729329,5.138096554,4.986514597,4.458454869,4.309473725,4.541119301,4.71026237,4.914730973,4.860033584,0.062930206,-1.432046554,-1.51387644,-2.56732105,4.604049507,3.278215816,3.400854533,2.292712535
+40,1,1,25,Massachusetts,6547629,6547817,6564073,6612270,6655829,6708874,6745408,16256,48197,43559,53045,36534,17727,73181,72222,72841,73248,12295,54011,52420,54262,55020,5432,19170,19802,18579,18228,7074,35001,35018,37353,37285,3714,-3450,-10824,-2175,-16354,10788,31551,24194,35178,20931,36,-2524,-437,-712,-2625,11.10793792,10.88656333,10.90050411,10.88842942,8.198177598,7.901659462,8.120195413,8.178808799,2.909760318,2.984903866,2.780308698,2.709620625,5.312703229,5.278525582,5.589798741,5.542473393,-0.523665785,-1.63158264,-0.325484225,-2.431047603,4.789037444,3.646942942,5.264314516,3.11142579
+40,2,3,26,Michigan,9883640,9884133,9876498,9875736,9884781,9898193,9909877,-7635,-762,9045,13412,11684,28387,113987,113070,112871,112748,22154,89879,89074,89586,90366,6233,24108,23996,23285,22382,3799,18030,18492,20070,20094,-18225,-43175,-33536,-29544,-28679,-14426,-25145,-15044,-9474,-8585,558,275,93,-399,-2113,11.54168182,11.44403256,11.41092335,11.38404701,9.100641477,9.015351167,9.05687891,9.124160002,2.44104034,2.428681395,2.354044443,2.259887006,1.825616282,1.87161095,2.029017477,2.028870051,-4.371657403,-3.394243177,-2.98681078,-2.895688474,-2.546041121,-1.522632227,-0.957793302,-0.866818423
+40,2,4,27,Minnesota,5303925,5303925,5310418,5348036,5380615,5422060,5457173,6493,37618,32579,41445,35113,17087,68374,68050,69028,68982,9335,39979,39306,39702,39728,7752,28395,28744,29326,29254,2792,12585,12905,13955,14002,-3979,-3347,-8891,-2238,-6696,-1187,9238,4014,11717,7306,-72,-15,-179,402,-1447,12.8300033,12.68565824,12.7797976,12.6814087,7.501838447,7.327295855,7.350401637,7.303456043,5.328164854,5.358362389,5.42939596,5.377952655,2.361505712,2.405707857,2.583619335,2.574078522,-0.628046056,-1.657431116,-0.414341818,-1.230969132,1.733459656,0.748276741,2.169277517,1.34310939
+40,3,6,28,Mississippi,2967297,2968103,2970811,2978464,2986137,2992206,2994079,2708,7653,7673,6069,1873,9995,39738,39440,38396,38206,6634,29131,29022,29355,29573,3361,10607,10418,9041,8633,579,1854,2752,2344,2250,-1129,-5833,-5635,-4799,-9382,-550,-3979,-2883,-2455,-7132,-103,1025,138,-517,372,13.35893869,13.22469013,12.84503081,12.76451088,9.793126053,9.731413719,9.820446903,9.880251274,3.565812641,3.493276415,3.024583902,2.884259603,0.623269222,0.922777567,0.784163773,0.751718303,-1.960911203,-1.889480956,-1.60546158,-3.134498274,-1.337641982,-0.966703389,-0.821297808,-2.382779971
+40,2,4,29,Missouri,5988927,5988923,5996085,6010544,6025281,6044917,6063589,7162,14459,14737,19636,18672,19159,76243,75429,75293,74988,13185,55985,55630,55646,56033,5974,20258,19799,19647,18955,1858,7549,8667,8776,8641,-361,-13480,-13484,-8140,-8074,1497,-5931,-4817,636,567,-309,132,-245,-647,-850,12.70015089,12.53408055,12.47585168,12.38600369,9.325681671,9.244069268,9.220395556,9.255146754,3.37446922,3.290011279,3.255456124,3.130856936,1.257472018,1.440200402,1.454160073,1.427261134,-2.245426256,-2.240644077,-1.348776549,-1.333607961,-0.987954238,-0.800443675,0.105383524,0.093653172
+40,4,8,30,Montana,989415,989417,990575,997661,1005163,1014864,1023579,1158,7086,7502,9701,8715,3017,11998,12024,12183,12243,2389,9126,8960,8819,9089,628,2872,3064,3364,3154,204,603,867,800,766,391,3414,3556,5351,4550,595,4017,4423,6151,5316,-65,197,15,186,245,12.0689898,12.00704605,12.06221501,12.01210924,9.179996741,8.947366319,8.731566459,8.917590534,2.888993057,3.059679732,3.330648551,3.094518709,0.606567832,0.865777522,0.792068621,0.751554005,3.434199964,3.550986008,5.297948988,4.464191542,4.040767796,4.41676353,6.090017609,5.215745547
+40,2,4,31,Nebraska,1826341,1826341,1829865,1842232,1855487,1868969,1881503,3524,12367,13255,13482,12534,6385,25738,25761,25940,25961,3657,15621,15217,14805,14658,2728,10117,10544,11135,11303,799,3331,3709,3829,3805,92,-1184,-909,-891,-2551,891,2147,2800,2938,1254,-95,103,-89,-591,-23,14.01814821,13.93345465,13.92955105,13.84412415,8.507945188,8.230479385,7.950154331,7.816616149,5.510203026,5.702975267,5.979396723,6.027508004,1.814222228,2.006101599,2.056139205,2.02907794,-0.64486314,-0.49165445,-0.478459136,-1.360362109,1.169359088,1.51444715,1.577680069,0.668715831
+40,4,8,32,Nevada,2700551,2700692,2703493,2718586,2755245,2791494,2839099,2801,15093,36659,36249,47605,8791,35843,34706,35075,35153,4948,20206,20410,21255,21702,3843,15637,14296,13820,13451,1543,7446,7830,8410,8456,-2557,-7665,14463,13188,23623,-1014,-219,22293,21598,32079,-28,-325,70,831,2075,13.22112791,12.6806984,12.64707065,12.48642905,7.453229656,7.457300015,7.663962555,7.708601918,5.767898255,5.223398384,4.983108093,4.777827131,2.746547957,2.860884817,3.032412378,3.003591274,-2.827328779,5.284415979,4.755226449,8.390945678,-0.080780822,8.145300796,7.787638827,11.39453695
+40,1,1,33,New Hampshire,1316470,1316466,1316517,1318109,1321297,1322616,1326813,51,1592,3188,1319,4197,3105,12992,12368,12422,12338,2531,10734,10502,10756,10834,574,2258,1866,1666,1504,417,1757,1906,2031,2026,-933,-2156,-526,-2626,1117,-516,-399,1380,-595,3143,-7,-267,-58,248,-450,9.862500408,9.371805626,9.396678333,9.313704953,8.148405125,7.957851123,8.136425064,8.17836598,1.714095283,1.413954503,1.260253269,1.135338973,1.333775648,1.444264353,1.536359177,1.529386143,-1.636664938,-0.398574528,-1.98644963,0.843200554,-0.302889291,1.045689826,-0.450090453,2.372586697
+40,1,2,34,New Jersey,8791894,8791936,8803580,8842614,8876000,8911502,8938175,11644,39034,33386,35502,26673,26301,106684,104515,103993,103440,17094,71062,68985,71354,71699,9207,35622,35530,32639,31741,11113,49097,47752,51577,51626,-8583,-45089,-49515,-45541,-55469,2530,4008,-1763,6036,-3843,-93,-596,-381,-3173,-1225,12.0914459,11.79719813,11.69281668,11.59012569,8.054088037,7.786726434,8.022936554,8.033646771,4.037357858,4.010471699,3.669880121,3.556478921,5.564599369,5.390037844,5.799240388,5.784530443,-5.110337107,-5.589037608,-5.120561617,-6.21512647,0.454262262,-0.198999764,0.678678771,-0.430596027
+40,4,8,35,New Mexico,2059179,2059192,2064950,2078407,2084594,2086895,2085572,5758,13457,6187,2301,-1323,6937,27798,27032,26899,26805,3807,16401,16468,16677,16863,3130,11397,10564,10222,9942,515,2211,2793,2678,2672,2014,64,-7119,-10560,-14154,2529,2275,-4326,-7882,-11482,99,-215,-51,-39,217,13.41810517,12.98678525,12.896594,12.84851384,7.916768939,7.91160031,7.99570609,8.082987834,5.501336235,5.075184945,4.900887908,4.765526007,1.067250541,1.34182048,1.283954003,1.280777056,0.030892824,-3.420128893,-5.062940355,-6.784475467,1.098143365,-2.078308413,-3.778986352,-5.503698412
+40,1,2,36,New York,19378102,19378112,19400867,19521745,19607140,19695680,19746227,22755,120878,85395,88540,50547,59639,243107,239921,240500,240710,35129,149748,146889,152069,154357,24510,93359,93032,88431,86353,24130,113261,110105,118929,118799,-24674,-84179,-116346,-107730,-153921,-544,29082,-6241,11199,-35122,-1211,-1563,-1396,-11090,-684,12.49181324,12.26311458,12.23830758,12.20579928,7.694653175,7.507957357,7.738325138,7.827055624,4.797160067,4.75515722,4.499982444,4.378743655,5.819804694,5.627811782,6.051932151,6.023998789,-4.325454828,-5.94680886,-5.48204938,-7.804947159,1.494349865,-0.318997079,0.569882772,-1.78094837
+40,3,5,37,North Carolina,9535483,9535691,9559488,9651502,9748181,9848917,9943964,23797,92014,96679,100736,95047,30753,121042,119564,120100,120099,18680,79948,79505,83582,83750,12073,41094,40059,36518,36349,5103,18018,23992,22151,21188,6610,30470,32005,38086,36257,11713,48488,55997,60237,57445,11,2432,623,3981,1253,12.60132872,12.32638698,12.25691682,12.13557541,8.323152529,8.196525686,8.530038478,8.462638663,4.27817619,4.129861297,3.726878337,3.672936749,1.875801299,2.473442478,2.260640836,2.140971797,3.172142612,3.299538451,3.88690203,3.663640478,5.047943911,5.77298093,6.147542866,5.804612275
+40,2,4,38,North Dakota,672591,672591,674345,685242,701705,723857,739482,1754,10897,16463,22152,15625,2178,9201,9888,10329,10780,1499,6054,5936,5772,5879,679,3147,3952,4557,4901,287,1043,1536,1365,1290,815,6217,10811,16529,8974,1102,7260,12347,17894,10264,-27,490,164,-299,460,13.53499261,14.25865588,14.49112701,14.73342814,8.905645612,8.559807981,8.09785895,8.035048611,4.629347,5.698847901,6.393268059,6.698379528,1.534289457,2.214936836,1.915034211,1.763091122,9.145424309,15.58963681,23.1894509,12.26510057,10.67971377,17.80457364,25.10448511,14.02819169
+40,2,3,39,Ohio,11536504,11536725,11540070,11544757,11550901,11572005,11594163,3345,4687,6144,21104,22158,34321,137935,137702,138338,137999,26465,110730,111480,111234,111233,7856,27205,26222,27104,26766,3532,15797,16650,17557,17536,-7875,-36804,-37000,-22109,-18243,-4343,-21007,-20350,-4552,-707,-168,-1511,272,-1448,-3901,11.95027366,11.92449247,11.96545106,11.91383918,9.593314258,9.653762625,9.621109042,9.603055628,2.3569594,2.270729849,2.344342013,2.310783553,1.368604582,1.441829456,1.518580753,1.513931868,-3.188587898,-3.204065457,-1.912302891,-1.574969153,-1.819983316,-1.762236001,-0.393722139,-0.061037285
+40,3,7,40,Oklahoma,3751351,3751616,3759481,3786527,3817059,3853118,3878051,7865,27046,30532,36059,24933,13102,52565,52352,53025,53091,8174,37636,36941,37123,37703,4928,14929,15411,15902,15388,1245,5029,6101,5786,5691,1582,6317,8937,13805,4377,2827,11346,15038,19591,10068,110,771,83,566,-523,13.93186967,13.77034468,13.82627806,13.73427486,9.975075563,9.716731027,9.679828771,9.753505582,3.956794109,4.05361365,4.146449293,3.980769273,1.332890185,1.604769118,1.508700516,1.472222377,1.674262736,2.350732931,3.599656175,1.132299656,3.007152921,3.955502049,5.108356691,2.604522033
+40,4,9,41,Oregon,3831074,3831073,3837083,3867644,3898684,3928068,3970239,6010,30561,31040,29384,42171,11071,45386,44910,45010,45209,7777,32546,32928,32700,33295,3294,12840,11982,12310,11914,1389,6053,6044,6763,6862,1436,11394,13110,9743,22670,2825,17447,19154,16506,29532,-109,274,-96,568,725,11.78133891,11.56531117,11.50157818,11.44776976,8.448320103,8.479683063,8.355956596,8.430920702,3.333018808,3.085628112,3.145621581,3.016849054,1.571243212,1.55646272,1.728175366,1.737587562,2.957664821,3.376112881,2.489666212,5.740470711,4.528908033,4.932575601,4.217841577,7.478058273
+40,1,2,42,Pennsylvania,12702379,12702884,12711077,12743995,12770043,12781296,12787209,8193,32918,26048,11253,5913,35307,142967,142112,142485,142032,30129,127759,125570,127820,128600,5178,15208,16542,14665,13432,5509,27053,27501,29036,29060,-1681,-6959,-17333,-31734,-31448,3828,20094,10168,-2698,-2388,-813,-2384,-662,-714,-5131,11.23288907,11.13990659,11.15284017,11.10991824,10.0379995,9.843208668,10.00495512,10.05925063,1.194889569,1.29669792,1.147885048,1.050667609,2.125548889,2.155754413,2.272757604,2.273109046,-0.546767261,-1.358703001,-2.483940274,-2.459901351,1.578781628,0.797051412,-0.21118267,-0.186792306
+40,1,1,44,Rhode Island,1052567,1052931,1053078,1052020,1052637,1053354,1055173,147,-1058,617,717,1819,2749,11002,11006,10845,10918,2336,9761,9314,9399,9543,413,1241,1692,1446,1375,860,3979,4203,4324,4290,-1142,-6146,-5289,-5133,-3387,-282,-2167,-1086,-809,903,16,-132,11,80,-459,10.45272002,10.45871132,10.29918931,10.35604477,9.27367752,8.850848381,8.925964071,9.051816742,1.179042496,1.607862944,1.373225242,1.304228023,3.780346568,3.993999972,4.106380322,4.069191431,-5.839158082,-5.02599711,-4.874664707,-3.212669318,-2.058811514,-1.031997138,-0.768284385,0.856522112
+40,3,5,45,South Carolina,4625364,4625401,4636290,4673054,4722621,4771929,4832482,10889,36764,49567,49308,60553,14620,57473,57524,57040,57401,9683,42034,42084,43978,44230,4937,15439,15440,13062,13171,1597,5128,7594,6548,6294,4280,14854,26369,28267,38614,5877,19982,33963,34815,44908,75,1343,164,1431,2474,12.34737915,12.24478284,12.01531405,11.95304949,9.030496671,8.958164262,9.263840835,9.210351369,3.316882479,3.286618577,2.751473214,2.742698121,1.101688798,1.616488438,1.379317609,1.310647785,3.191202302,5.613008113,5.954363293,8.040888713,4.2928911,7.22949655,7.333680901,9.351536497
+40,2,4,46,South Dakota,814180,814191,816192,824171,834504,845510,853175,2001,7979,10333,11006,7665,2948,11789,11902,12158,12217,1937,7298,7431,6839,6893,1011,4491,4471,5319,5324,261,1264,1506,1471,1449,801,2009,4349,4366,562,1062,3273,5855,5837,2011,-72,215,7,-150,330,14.37364778,14.35121407,14.47368891,14.38406768,8.898030497,8.960163986,8.14159882,8.115689489,5.475617287,5.391050085,6.33209009,6.268378187,1.5411223,1.815907275,1.751175883,1.706025543,2.449457833,5.243944715,5.197575735,0.661688306,3.990580134,7.05985199,6.948751618,2.367713849
+40,3,6,47,Tennessee,6346105,6346275,6356628,6398389,6455177,6497269,6549352,10353,41761,56788,42092,52083,19800,78609,80307,80200,80172,14311,60205,60625,61827,61664,5489,18404,19682,18373,18508,1852,7932,9278,9180,9160,3110,15641,27547,13534,24511,4962,23573,36825,22714,33671,-98,-216,281,1005,-96,12.32597338,12.4956763,12.38376134,12.29007879,9.44020694,9.433179866,9.546768232,9.452869061,2.88576644,3.062496431,2.836993105,2.837209727,1.243745892,1.443646067,1.417492881,1.404195002,2.452525152,4.286281332,2.089798328,3.757448001,3.696271044,5.729927399,3.50729121,5.161643003
+40,3,7,48,Texas,25145561,25146104,25245717,25657477,26094422,26505637,26956958,99613,411760,436945,411215,451321,94517,381746,378107,385197,386786,40853,168055,169031,176885,178395,53664,213691,209076,208312,208391,15393,78832,80039,84192,84637,29507,116516,145707,116464,154467,44900,195348,225746,200656,239104,1049,2721,2123,2247,3826,14.99890164,14.61229471,14.64625734,14.46940613,6.602925545,6.532359325,6.725657855,6.673637896,8.395976095,8.079935386,7.920599481,7.795768238,3.097330199,3.09318118,3.201213139,3.166213686,4.577944559,5.630981773,4.428284006,5.778507385,7.675274758,8.724162953,7.629497146,8.944721071
+40,4,8,49,Utah,2763885,2763885,2774346,2815324,2855194,2902787,2942902,10461,40978,39870,47593,40115,12766,51922,50446,51806,51447,3702,15010,15470,15390,15306,9064,36912,34976,36416,36141,990,4887,5077,5438,5465,451,-919,-87,5530,-1235,1441,3968,4990,10968,4230,-44,98,-96,209,-256,18.57784091,17.79237805,17.99450189,17.60168904,5.370621164,5.456291647,5.345623753,5.236679543,13.20721975,12.3360864,12.64887814,12.3650095,1.748582653,1.790665333,1.888856528,1.869753933,-0.328820843,-0.030685027,1.920812174,-0.422533597,1.419761811,1.759980305,3.809668702,1.447220336
+40,1,1,50,Vermont,625741,625745,625792,626450,626138,626855,626562,47,658,-312,717,-293,1471,6051,6092,5978,6006,1329,5433,5456,5279,5238,142,618,636,699,768,100,631,681,721,719,-166,-471,-1631,-688,-1549,-66,160,-950,33,-830,-29,-120,2,-15,-231,9.664266172,9.727061093,9.541952748,9.58340281,8.677236509,8.711563579,8.426224249,8.357952701,0.987029664,1.015497514,1.1157285,1.22545011,1.007792424,1.087348753,1.150844418,1.14726384,-0.752250763,-2.604208247,-1.09817054,-2.471643515,0.255541661,-1.516859494,0.052673878,-1.324379676
+40,3,5,51,Virginia,8001024,8001023,8025376,8110188,8193422,8270345,8326289,24353,84812,83234,76923,55944,25496,102345,102776,103192,103597,14695,60442,60200,61983,62485,10801,41903,42576,41209,41112,7881,29395,35867,34534,34010,5614,10744,4923,2504,-20400,13495,40139,40790,37038,13610,57,2770,-132,-1324,1222,12.68564272,12.60775988,12.53564874,12.48409768,7.491774071,7.384867523,7.52962551,7.529840087,5.193868649,5.222892353,5.006023227,4.954257592,3.643504497,4.399884443,4.195151693,4.098421403,1.331716697,0.603915329,0.304183119,-2.458329804,4.975221195,5.003799772,4.499334812,1.640091599
+40,4,9,53,Washington,6724540,6724543,6741911,6822112,6896325,6973742,7061530,17368,80201,74213,77417,87788,21240,86694,86719,87872,87995,11832,49833,49432,51230,52257,9408,36861,37287,36642,35738,4559,20142,23377,23962,23833,3495,23374,13459,15609,28063,8054,43516,36836,39571,51896,-94,-176,90,1204,154,12.78293321,12.64269392,12.67073908,12.53912286,7.347820038,7.206651895,7.387130863,7.446524727,5.435113167,5.436042021,5.283608219,5.092598134,2.969915342,3.408114204,3.455210418,3.396157908,3.446470122,1.962176887,2.250746157,3.998924994,6.416385463,5.370291091,5.705956575,7.395082903
+40,3,5,54,West Virginia,1852994,1853033,1854176,1854982,1856313,1853595,1850326,1143,806,1331,-2718,-3269,5060,20468,20677,20686,20466,5237,21908,21505,21645,21735,-177,-1440,-828,-959,-1269,256,1034,1131,1171,1164,1197,1087,1043,-2324,-2749,1453,2121,2174,-1153,-1585,-133,125,-15,-606,-415,11.03646704,11.14274128,11.15175902,11.05099164,11.81292358,11.58894672,11.66875297,11.73621144,-0.776456544,-0.446205435,-0.516993952,-0.685219798,0.557538935,0.609490757,0.631282501,0.628523125,0.586116849,0.562067957,-1.252861257,-1.484372912,1.143655784,1.171558715,-0.621578756,-0.855849787
+40,2,3,55,Wisconsin,5686986,5687289,5689268,5708785,5724888,5742953,5757564,1979,19517,16103,18065,14611,16702,67779,67642,66832,66735,11749,48479,47888,47611,47602,4953,19300,19754,19221,19133,1240,5907,5915,6476,6550,-3896,-6240,-9455,-7854,-9931,-2656,-333,-3540,-1378,-3381,-318,550,-111,222,-1141,11.89308385,11.83206831,11.65555051,11.60556521,8.506540547,8.376660763,8.303393812,8.278236535,3.386543298,3.455407549,3.352156696,3.327328676,1.036492812,1.034663139,1.129419217,1.139079226,-1.094923844,-1.653886726,-1.369743442,-1.727052792,-0.058431032,-0.619223586,-0.240324225,-0.587973567
+40,4,8,56,Wyoming,563626,563767,564358,567631,576893,583223,584153,591,3273,9262,6330,930,1862,7468,7438,7591,7626,1290,4446,4381,4400,4511,572,3022,3057,3191,3115,113,388,549,498,485,-122,-205,5523,2638,-2672,-9,183,6072,3136,-2187,28,68,133,3,2,13.19447451,12.99754308,13.08662237,13.06519922,7.855200006,7.65558433,7.585448352,7.728443963,5.339274498,5.341958753,5.501174021,5.336755253,0.685519029,0.959350787,0.858534836,0.83092337,-0.362194332,9.651173763,4.54782108,-4.577788133,0.323324697,10.61052455,5.406355916,-3.746864763
+40,X,X,72,Puerto Rico,3725789,3726157,3721527,3686771,3642281,3595839,3548397,-4630,-34756,-44490,-46442,-47442,9603,41247,40285,37874,36479,7136,30239,29683,29224,28829,2467,11008,10602,8650,7650,-7097,-45764,-55092,-55092,-55092,X,X,X,X,X,-7097,-45764,-55092,-55092,-55092,0,0,0,0,0,11.1353512,10.99323623,10.46514841,10.21214865,8.163548497,8.100092618,8.075025007,8.070562059,2.9718027,2.893143615,2.390123402,2.141586588,-12.35479458,-15.03386795,-15.2227374,-15.42278279,X,X,X,X,-12.35479458,-15.03386795,-15.2227374,-15.42278279
diff --git a/consumer_complaints.ipynb b/consumer_complaints.ipynb
index 8cc65d7..12f1ba7 100644
--- a/consumer_complaints.ipynb
+++ b/consumer_complaints.ipynb
@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:51ded45ffe5ee29b83a36832b506f4e4a3a35e68e6cb05b3bfb9f3974f9d73b8"
+  "signature": "sha256:2b703c6658c0502adab3a7be6dd5ec669fe38d755cfc4ae4ffa32a3833106837"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -787,10 +787,657 @@
     {
      "cell_type": "code",
      "collapsed": false,
-     "input": [],
+     "input": [
+      "complaints_by_state = cfpb_complaints.State.value_counts()\n",
+      "complaints_by_state.pop('AE')\n",
+      "complaints_by_state.pop('AP')\n",
+      "complaints_by_state.pop('AS')\n",
+      "complaints_by_state.pop('VI')\n",
+      "print(complaints_by_state)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "CA    1591\n",
+        "TX    1099\n",
+        "FL    1093\n",
+        "NY     733\n",
+        "GA     512\n",
+        "NJ     465\n",
+        "IL     427\n",
+        "PA     418\n",
+        "VA     373\n",
+        "OH     348\n",
+        "MD     342\n",
+        "MI     287\n",
+        "NC     287\n",
+        "WA     231\n",
+        "AZ     213\n",
+        "MA     200\n",
+        "TN     192\n",
+        "CO     180\n",
+        "NV     159\n",
+        "AL     147\n",
+        "WI     143\n",
+        "MN     135\n",
+        "IN     132\n",
+        "SC     130\n",
+        "LA     127\n",
+        "OR     120\n",
+        "MO     119\n",
+        "CT     109\n",
+        "OK      93\n",
+        "DC      82\n",
+        "UT      70\n",
+        "KY      59\n",
+        "AR      59\n",
+        "MS      57\n",
+        "KS      56\n",
+        "NM      55\n",
+        "IA      51\n",
+        "HI      48\n",
+        "NH      46\n",
+        "DE      44\n",
+        "RI      40\n",
+        "ID      39\n",
+        "ME      39\n",
+        "NE      37\n",
+        "PR      27\n",
+        "WV      26\n",
+        "SD      22\n",
+        "VT      18\n",
+        "AK      15\n",
+        "MT      14\n",
+        "ND       8\n",
+        "WY       8\n",
+        "Length: 52, dtype: int64\n"
+       ]
+      }
+     ],
+     "prompt_number": 206
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "states = {\n",
+      "        'AK': 'Alaska',\n",
+      "        'AL': 'Alabama',\n",
+      "        'AR': 'Arkansas',\n",
+      "        'AS': 'American Samoa',\n",
+      "        'AZ': 'Arizona',\n",
+      "        'CA': 'California',\n",
+      "        'CO': 'Colorado',\n",
+      "        'CT': 'Connecticut',\n",
+      "        'DC': 'District of Columbia',\n",
+      "        'DE': 'Delaware',\n",
+      "        'FL': 'Florida',\n",
+      "        'GA': 'Georgia',\n",
+      "        'GU': 'Guam',\n",
+      "        'HI': 'Hawaii',\n",
+      "        'IA': 'Iowa',\n",
+      "        'ID': 'Idaho',\n",
+      "        'IL': 'Illinois',\n",
+      "        'IN': 'Indiana',\n",
+      "        'KS': 'Kansas',\n",
+      "        'KY': 'Kentucky',\n",
+      "        'LA': 'Louisiana',\n",
+      "        'MA': 'Massachusetts',\n",
+      "        'MD': 'Maryland',\n",
+      "        'ME': 'Maine',\n",
+      "        'MI': 'Michigan',\n",
+      "        'MN': 'Minnesota',\n",
+      "        'MO': 'Missouri',\n",
+      "        'MP': 'Northern Mariana Islands',\n",
+      "        'MS': 'Mississippi',\n",
+      "        'MT': 'Montana',\n",
+      "        'NA': 'National',\n",
+      "        'NC': 'North Carolina',\n",
+      "        'ND': 'North Dakota',\n",
+      "        'NE': 'Nebraska',\n",
+      "        'NH': 'New Hampshire',\n",
+      "        'NJ': 'New Jersey',\n",
+      "        'NM': 'New Mexico',\n",
+      "        'NV': 'Nevada',\n",
+      "        'NY': 'New York',\n",
+      "        'OH': 'Ohio',\n",
+      "        'OK': 'Oklahoma',\n",
+      "        'OR': 'Oregon',\n",
+      "        'PA': 'Pennsylvania',\n",
+      "        'PR': 'Puerto Rico',\n",
+      "        'RI': 'Rhode Island',\n",
+      "        'SC': 'South Carolina',\n",
+      "        'SD': 'South Dakota',\n",
+      "        'TN': 'Tennessee',\n",
+      "        'TX': 'Texas',\n",
+      "        'UT': 'Utah',\n",
+      "        'VA': 'Virginia',\n",
+      "        'VI': 'Virgin Islands',\n",
+      "        'VT': 'Vermont',\n",
+      "        'WA': 'Washington',\n",
+      "        'WI': 'Wisconsin',\n",
+      "        'WV': 'West Virginia',\n",
+      "        'WY': 'Wyoming'\n",
+      "}\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 207
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "for key, thing in states:\n",
+      "    complaints_by_state.replace(to_replace=key, value=thing)\n",
+      "complaints_by_state"
+     ],
      "language": "python",
      "metadata": {},
-     "outputs": []
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 211,
+       "text": [
+        "CA    1591\n",
+        "TX    1099\n",
+        "FL    1093\n",
+        "NY     733\n",
+        "GA     512\n",
+        "NJ     465\n",
+        "IL     427\n",
+        "PA     418\n",
+        "VA     373\n",
+        "OH     348\n",
+        "MD     342\n",
+        "MI     287\n",
+        "NC     287\n",
+        "WA     231\n",
+        "AZ     213\n",
+        "MA     200\n",
+        "TN     192\n",
+        "CO     180\n",
+        "NV     159\n",
+        "AL     147\n",
+        "WI     143\n",
+        "MN     135\n",
+        "IN     132\n",
+        "SC     130\n",
+        "LA     127\n",
+        "OR     120\n",
+        "MO     119\n",
+        "CT     109\n",
+        "OK      93\n",
+        "DC      82\n",
+        "UT      70\n",
+        "KY      59\n",
+        "AR      59\n",
+        "MS      57\n",
+        "KS      56\n",
+        "NM      55\n",
+        "IA      51\n",
+        "HI      48\n",
+        "NH      46\n",
+        "DE      44\n",
+        "RI      40\n",
+        "ID      39\n",
+        "ME      39\n",
+        "NE      37\n",
+        "PR      27\n",
+        "WV      26\n",
+        "SD      22\n",
+        "VT      18\n",
+        "AK      15\n",
+        "MT      14\n",
+        "ND       8\n",
+        "WY       8\n",
+        "Length: 52, dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 211
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "census = pd.read_csv(\"census2014.csv\")"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 175
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "census.columns"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 178,
+       "text": [
+        "Index(['SUMLEV', 'REGION', 'DIVISION', 'STATE', 'NAME', 'CENSUS2010POP', 'ESTIMATESBASE2010', 'POPESTIMATE2010', 'POPESTIMATE2011', 'POPESTIMATE2012', 'POPESTIMATE2013', 'POPESTIMATE2014', 'NPOPCHG_2010', 'NPOPCHG_2011', 'NPOPCHG_2012', 'NPOPCHG_2013', 'NPOPCHG_2014', 'BIRTHS2010', 'BIRTHS2011', 'BIRTHS2012', 'BIRTHS2013', 'BIRTHS2014', 'DEATHS2010', 'DEATHS2011', 'DEATHS2012', 'DEATHS2013', 'DEATHS2014', 'NATURALINC2010', 'NATURALINC2011', 'NATURALINC2012', 'NATURALINC2013', 'NATURALINC2014', 'INTERNATIONALMIG2010', 'INTERNATIONALMIG2011', 'INTERNATIONALMIG2012', 'INTERNATIONALMIG2013', 'INTERNATIONALMIG2014', 'DOMESTICMIG2010', 'DOMESTICMIG2011', 'DOMESTICMIG2012', 'DOMESTICMIG2013', 'DOMESTICMIG2014', 'NETMIG2010', 'NETMIG2011', 'NETMIG2012', 'NETMIG2013', 'NETMIG2014', 'RESIDUAL2010', 'RESIDUAL2011', 'RESIDUAL2012', 'RESIDUAL2013', 'RESIDUAL2014', 'RBIRTH2011', 'RBIRTH2012', 'RBIRTH2013', 'RBIRTH2014', 'RDEATH2011', 'RDEATH2012', 'RDEATH2013', 'RDEATH2014', 'RNATURALINC2011', 'RNATURALINC2012', 'RNATURALINC2013', 'RNATURALINC2014', 'RINTERNATIONALMIG2011', 'RINTERNATIONALMIG2012', 'RINTERNATIONALMIG2013', 'RINTERNATIONALMIG2014', 'RDOMESTICMIG2011', 'RDOMESTICMIG2012', 'RDOMESTICMIG2013', 'RDOMESTICMIG2014', 'RNETMIG2011', 'RNETMIG2012', 'RNETMIG2013', 'RNETMIG2014'], dtype='object')"
+       ]
+      }
+     ],
+     "prompt_number": 178
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "census2014 = census[['NAME', 'POPESTIMATE2014']]\n",
+      "census2014 = census2014[5:56]\n",
+      "len(census2014)\n",
+      "census2014"
+     ],
+     "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>NAME</th>\n",
+        "      <th>POPESTIMATE2014</th>\n",
+        "    </tr>\n",
+        "  </thead>\n",
+        "  <tbody>\n",
+        "    <tr>\n",
+        "      <th>5 </th>\n",
+        "      <td>              Alabama</td>\n",
+        "      <td>  4849377</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>6 </th>\n",
+        "      <td>               Alaska</td>\n",
+        "      <td>   736732</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>7 </th>\n",
+        "      <td>              Arizona</td>\n",
+        "      <td>  6731484</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>8 </th>\n",
+        "      <td>             Arkansas</td>\n",
+        "      <td>  2966369</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>9 </th>\n",
+        "      <td>           California</td>\n",
+        "      <td> 38802500</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>10</th>\n",
+        "      <td>             Colorado</td>\n",
+        "      <td>  5355866</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>11</th>\n",
+        "      <td>          Connecticut</td>\n",
+        "      <td>  3596677</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>12</th>\n",
+        "      <td>             Delaware</td>\n",
+        "      <td>   935614</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>13</th>\n",
+        "      <td> District of Columbia</td>\n",
+        "      <td>   658893</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>14</th>\n",
+        "      <td>              Florida</td>\n",
+        "      <td> 19893297</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>15</th>\n",
+        "      <td>              Georgia</td>\n",
+        "      <td> 10097343</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>16</th>\n",
+        "      <td>               Hawaii</td>\n",
+        "      <td>  1419561</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>17</th>\n",
+        "      <td>                Idaho</td>\n",
+        "      <td>  1634464</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>18</th>\n",
+        "      <td>             Illinois</td>\n",
+        "      <td> 12880580</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>19</th>\n",
+        "      <td>              Indiana</td>\n",
+        "      <td>  6596855</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>20</th>\n",
+        "      <td>                 Iowa</td>\n",
+        "      <td>  3107126</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>21</th>\n",
+        "      <td>               Kansas</td>\n",
+        "      <td>  2904021</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>22</th>\n",
+        "      <td>             Kentucky</td>\n",
+        "      <td>  4413457</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>23</th>\n",
+        "      <td>            Louisiana</td>\n",
+        "      <td>  4649676</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>24</th>\n",
+        "      <td>                Maine</td>\n",
+        "      <td>  1330089</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>25</th>\n",
+        "      <td>             Maryland</td>\n",
+        "      <td>  5976407</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>26</th>\n",
+        "      <td>        Massachusetts</td>\n",
+        "      <td>  6745408</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>27</th>\n",
+        "      <td>             Michigan</td>\n",
+        "      <td>  9909877</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>28</th>\n",
+        "      <td>            Minnesota</td>\n",
+        "      <td>  5457173</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>29</th>\n",
+        "      <td>          Mississippi</td>\n",
+        "      <td>  2994079</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>30</th>\n",
+        "      <td>             Missouri</td>\n",
+        "      <td>  6063589</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>31</th>\n",
+        "      <td>              Montana</td>\n",
+        "      <td>  1023579</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>32</th>\n",
+        "      <td>             Nebraska</td>\n",
+        "      <td>  1881503</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>33</th>\n",
+        "      <td>               Nevada</td>\n",
+        "      <td>  2839099</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>34</th>\n",
+        "      <td>        New Hampshire</td>\n",
+        "      <td>  1326813</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>35</th>\n",
+        "      <td>           New Jersey</td>\n",
+        "      <td>  8938175</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>36</th>\n",
+        "      <td>           New Mexico</td>\n",
+        "      <td>  2085572</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>37</th>\n",
+        "      <td>             New York</td>\n",
+        "      <td> 19746227</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>38</th>\n",
+        "      <td>       North Carolina</td>\n",
+        "      <td>  9943964</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>39</th>\n",
+        "      <td>         North Dakota</td>\n",
+        "      <td>   739482</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>40</th>\n",
+        "      <td>                 Ohio</td>\n",
+        "      <td> 11594163</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>41</th>\n",
+        "      <td>             Oklahoma</td>\n",
+        "      <td>  3878051</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>42</th>\n",
+        "      <td>               Oregon</td>\n",
+        "      <td>  3970239</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>43</th>\n",
+        "      <td>         Pennsylvania</td>\n",
+        "      <td> 12787209</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>44</th>\n",
+        "      <td>         Rhode Island</td>\n",
+        "      <td>  1055173</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>45</th>\n",
+        "      <td>       South Carolina</td>\n",
+        "      <td>  4832482</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>46</th>\n",
+        "      <td>         South Dakota</td>\n",
+        "      <td>   853175</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>47</th>\n",
+        "      <td>            Tennessee</td>\n",
+        "      <td>  6549352</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>48</th>\n",
+        "      <td>                Texas</td>\n",
+        "      <td> 26956958</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>49</th>\n",
+        "      <td>                 Utah</td>\n",
+        "      <td>  2942902</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>50</th>\n",
+        "      <td>              Vermont</td>\n",
+        "      <td>   626562</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>51</th>\n",
+        "      <td>             Virginia</td>\n",
+        "      <td>  8326289</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>52</th>\n",
+        "      <td>           Washington</td>\n",
+        "      <td>  7061530</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>53</th>\n",
+        "      <td>        West Virginia</td>\n",
+        "      <td>  1850326</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>54</th>\n",
+        "      <td>            Wisconsin</td>\n",
+        "      <td>  5757564</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>55</th>\n",
+        "      <td>              Wyoming</td>\n",
+        "      <td>   584153</td>\n",
+        "    </tr>\n",
+        "  </tbody>\n",
+        "</table>\n",
+        "</div>"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 205,
+       "text": [
+        "                    NAME  POPESTIMATE2014\n",
+        "5                Alabama          4849377\n",
+        "6                 Alaska           736732\n",
+        "7                Arizona          6731484\n",
+        "8               Arkansas          2966369\n",
+        "9             California         38802500\n",
+        "10              Colorado          5355866\n",
+        "11           Connecticut          3596677\n",
+        "12              Delaware           935614\n",
+        "13  District of Columbia           658893\n",
+        "14               Florida         19893297\n",
+        "15               Georgia         10097343\n",
+        "16                Hawaii          1419561\n",
+        "17                 Idaho          1634464\n",
+        "18              Illinois         12880580\n",
+        "19               Indiana          6596855\n",
+        "20                  Iowa          3107126\n",
+        "21                Kansas          2904021\n",
+        "22              Kentucky          4413457\n",
+        "23             Louisiana          4649676\n",
+        "24                 Maine          1330089\n",
+        "25              Maryland          5976407\n",
+        "26         Massachusetts          6745408\n",
+        "27              Michigan          9909877\n",
+        "28             Minnesota          5457173\n",
+        "29           Mississippi          2994079\n",
+        "30              Missouri          6063589\n",
+        "31               Montana          1023579\n",
+        "32              Nebraska          1881503\n",
+        "33                Nevada          2839099\n",
+        "34         New Hampshire          1326813\n",
+        "35            New Jersey          8938175\n",
+        "36            New Mexico          2085572\n",
+        "37              New York         19746227\n",
+        "38        North Carolina          9943964\n",
+        "39          North Dakota           739482\n",
+        "40                  Ohio         11594163\n",
+        "41              Oklahoma          3878051\n",
+        "42                Oregon          3970239\n",
+        "43          Pennsylvania         12787209\n",
+        "44          Rhode Island          1055173\n",
+        "45        South Carolina          4832482\n",
+        "46          South Dakota           853175\n",
+        "47             Tennessee          6549352\n",
+        "48                 Texas         26956958\n",
+        "49                  Utah          2942902\n",
+        "50               Vermont           626562\n",
+        "51              Virginia          8326289\n",
+        "52            Washington          7061530\n",
+        "53         West Virginia          1850326\n",
+        "54             Wisconsin          5757564\n",
+        "55               Wyoming           584153"
+       ]
+      }
+     ],
+     "prompt_number": 205
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints_by_zip = cfpb_complaints['ZIP code'].value_counts()\n",
+      "print(complaints_by_zip)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "60445    42\n",
+        "94030    27\n",
+        "77065    25\n",
+        "78232    23\n",
+        "76028    22\n",
+        "53072    21\n",
+        "35040    19\n",
+        "85251    18\n",
+        "89113    18\n",
+        "76116    17\n",
+        "79424    17\n",
+        "78204    16\n",
+        "21117    16\n",
+        "20744    15\n",
+        "33173    15\n",
+        "...\n",
+        "60076    1\n",
+        "21212    1\n",
+        "94939    1\n",
+        "98198    1\n",
+        "21203    1\n",
+        "94930    1\n",
+        "70570    1\n",
+        "78542    1\n",
+        "29388    1\n",
+        "1460     1\n",
+        "85       1\n",
+        "94920    1\n",
+        "60131    1\n",
+        "48504    1\n",
+        "2382     1\n",
+        "Length: 5931, dtype: int64\n"
+       ]
+      }
+     ],
+     "prompt_number": 192
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "60445 is Midlothian, IL - suburb of Chicago, low per capita income\n",
+      "94030 is Millbrae, Ca - city west of San Francisco\n",
+      "77065 is nw Houston\n",
+      "78232 is northern San Antonio"
+     ]
     }
    ],
    "metadata": {}

From 90d7b331ff9bb3d149b7ac7d9593aeea901833f3 Mon Sep 17 00:00:00 2001
From: Bret Runestad <bret.runestad@gmail.com>
Date: Mon, 2 Feb 2015 21:26:20 -0500
Subject: [PATCH 3/3] more unsuccesful tinkering with state data

---
 consumer_complaints.ipynb | 54 ++++++++++++++++++++++++++-------------
 1 file changed, 36 insertions(+), 18 deletions(-)

diff --git a/consumer_complaints.ipynb b/consumer_complaints.ipynb
index 12f1ba7..ab7251e 100644
--- a/consumer_complaints.ipynb
+++ b/consumer_complaints.ipynb
@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:2b703c6658c0502adab3a7be6dd5ec669fe38d755cfc4ae4ffa32a3833106837"
+  "signature": "sha256:1117399e8ecdc9b9e21324c3262c957c1632c2a6a45e0d15563bd32b526836a6"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -260,11 +260,11 @@
        "output_type": "display_data",
        "png": 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yYey+GxEXANtGxJmUYURqxgzgRxHxI8oQxKHMPLDlmrrsCOD8iNiGMqT5XcAb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\ntG6VAAAAAElFTkSuQmCC\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x10a40b0f0>"
+        "<matplotlib.figure.Figure at 0x10ad37e80>"
        ]
       }
      ],
-     "prompt_number": 169
+     "prompt_number": 217
     },
     {
      "cell_type": "code",
@@ -281,11 +281,11 @@
        "output_type": "display_data",
        "png": 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V5yACAM0E15yheStcUW3Vd679EysUrVCdhcoHS9IsCSciVU1rFr0nFHe4n41K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\n7mNj7j31kYREr1f0nrZJl/yiONTn3XXgP4Y/Th+XL5WKM42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k18x6W+/ziLasJiYVnX9x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\nDIUkERERkRj/C0exyFjc77vMAAAAAElFTkSuQmCC\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x10a38d668>"
+        "<matplotlib.figure.Figure at 0x10b1eb748>"
        ]
       }
      ],
-     "prompt_number": 111
+     "prompt_number": 219
     },
     {
      "cell_type": "markdown",
@@ -398,7 +398,7 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "complaints_by_company_response.plot(kind='pie', figsize = (6,6))\n",
+      "complaints_by_company_response.plot(kind='pie', figsize = (6,6), autopct='%.2f', fontsize=10)\n",
       "plt.show()"
      ],
      "language": "python",
@@ -407,13 +407,13 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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8EcDtAOYAcCI2M/I4gJsBzAXwWc75e4yxr8a3kwH8nXP+2EAGxtizAJ7lnL/O\nGJsH4Gec8xsGZXkagD3+3w0AvgvgUgBKxEbGLzDG7gPwGQBRAHs551+P368fQB4AI4DPcM5PM8b+\nA8BtAMIAtnHO72eMPQQgG4AbQBaAb3LO32KM/X8A1iDWUy9yzv+XMVYM4NH469cC4G7OeefoX/ap\nQ2V6jnB/b6/oDCRx1Jx+uzv7E2lnR52e2xY7Nvxib/3tmXM8A7cV223aImvU9+Tu3zSV+y6Siwuv\ndI9UiBaTE8sX3GoBYAGASDSMlzfsDbZ3HWm024J9Trukzsk0mxcXp5n1usk5WEmn06BwrgeFcz06\nALoLbxlAb28nKqqPoeRoR6CioS/QHVb1BxX6cEihC0dixav4oHhNWpM7TWdwuLT6FOusKt5IsH+y\nZ7IGRouZAIoR+//k55z/D2PsxwAY5/xVxti/D9q+l3N+LWPsuwCu45zfyBi7C8AnGWOdAG4FcAli\nu7DeYowNntp9EsCXALwO4G4ATw2RZzPn/FHG2LUAsjnnlzHGdAB2M8beBnAXgC9xzvczxr7IGFPG\n73eEc34vY+wGAD9jjH0PwC0AVnHOI4yxFxlj18e3DXDOr2OMrQPwHwDeAnAHgNUA6uPPMZD3Ls75\nKcbY5wF8B8AD43upJxeV6TlC/T1dshyl45AIACAkV3borXlnrwyiVKtwxBLF+mgU6kHn6ysUCtyb\n43NVdZ+K/GHzcX/h0lvsDptvmML6MKVChbm5qzTAqrOnWpSeqcObW7a06w3tXU57RHY7NYalC3w2\nnydFOdVncBkMGhQyLwqZd1TFW151FCVH2gPlDf2B3vhUc1ipi8ammvUKWW1QQq1Tq4xmrdHl0xud\nLo0uxQZFkq/GFwr09Y3zrr04fybBBGDg8Y5yzqMAehljA7dJGHpEeyD+tR3A8UHf6wDMR2y0tyV+\nuxVAfvx7mXP+DmPsMcaYE8BViI1+z8XjX4sBLGWMbY3/WYXYiPJzAL7FGMsBsHtQxrfjX3cC+BmA\nAgB7OOeR+O3bARTFvz8U/1qDD37f7gTwUwAeAG/Eb5sH4NeMMQBQAzg9RF4hkvs3eQpEQoHGcLAP\naq1RdBSSADT2UOTc26x3LPa8/eSJpuvSMl3n/l2myaR8yATfXw/+qXWvtbBjyaIbUpWK8V07wWHz\nwmG704rYGyDC4SD++uLuQG/fySa7LdTvcEjq/FxryoJ5PqNWI+6fssGgQVGBF0UFIxdvd087yqsO\no/RQZ1/RlvcVAAAgAElEQVRFQyDQG1EFgwpdOKzUR8JK3QfFq9FpVHqzxpjq0xsdiVu8ob6e8Zbp\nKQCLGWMeznl9fKR3OYCHERuVDrU/M4LhD5Acqmw5gOOc82sBID6iPQJg/aBtnwHwGIA3BxXdYANZ\nTgLYGh9tqgD8F4AzAP4bwBc55/2MsY0ALo5vvwKxsrsYwNH4z/wf8ZFrNP7z/hnAwnN/XsaYBsAt\nnPPbGWMSgOOMsb/HH+PTnPMaxtjliB/0lwgS77dTsEB3a224v5fKlCDQ3QaTT2c593ad1YC9qt7Q\ntbJ8wTU+7sj02lsDdXh888P+nAUft3hT50z4upcqlQaF+at1wOqzU8xHj1fh1Y1b20yGzm6nU4bH\nrTUsW5huczvNCTm1YjLqUDzPh+J5Pj0A/YW3jBVvWeVhlBzs6KtsCAT6ZHUwKOnipxPpEVUP7OPV\naVQGi8aU6tMb7APFO/UXf4pGIgj2dI/rGAvOeWe82F5jjPUC0AD4Fee8LH7U7uByGfj+GIDvMcYO\nXODv5XO/55wfYYxtZoztQOyDzh4Atefc72kAP0Js5DkUOZ75VcbYGsbYNsRG0S9xzrsZY0cBbGeM\ndSE2snwPsdHq+vh0MxCbmq1mjD2H2EhVAWA75/wVxti5ZSpzzoOMsVbG2B7ERutvcs6rGGNfAvBM\nvMxlxKamE4JEy6R9mCRJ2Zd96mGe4s6hs+pnudKDf20v+IzJqtaf/6vQXtYYvvpfDd0r3anWkR7n\nNX9D50FtZs+ypTd71aqp/bXqD/aCn9neGwqf6XDYI0GnQ9LMy3ekFM71GFQz+OqCnd0BVFS1oqS6\no6+iMRDoi6qDISl2cFVEpZejar0iqtIrJY1OozKmaE1ur97gcKt1Fuu4i7evvRVvPHDfVS1lpzdN\n8o8zrRhjXgB/5pxfNYmP+UcAj3HOD4y48QxBI9PztYcCXT2IfVIks5m2uUuttw9ZltZct2pbmHev\nxMhler0v1XJFuMfy6OaH69zzrtVnZy4Y8T7jpdUYsGDe1QYAhoHb9rx/Ovr8v3a0pFh6e50OGT6P\nzrR8YYbNZjUM80jJxWLSYUGhDwsKRx7xdna3o7xyP0r2d/VWNvX390VU/SGlPhxS6CNhpV6WNXpF\nVKlTSRq9Rm1K0RhTvQaj3a3SmlM+VLx97a3h1vKS8qn/6aYOY+wTAB4CcK/gKEmPRqbnkCRJufSG\n71R5517sE52FiFVV/3Atu3Fe2oX+vnF3We9dh8LITxl9K+1sbO7dFLG3L11+q1evMwlZB7ov0I1T\npVt7IFV3OOyRkNOh0M0vcKfMzXXplMqEnB0WpqOzDxXVLeBVnb3VTcH+ganmsMoQbWnplPZveHWB\nLMvtonMS8ahMh7D42m8eTy9cUyg6BxGnq6VKltPe6k5dkG4ebjvlT3fUfCVjbvpYHjscjeL/Kuob\n1LlXqAryVgk/gCIajaLafzxc3/Reu9Ua6HHaZWW6z2BatjDDajGP+oDkWeeNLSfOPPCT1/JE5yCJ\ngaZ5hxAJBRoAUJnOYnWVm1qLr/KOWHRVzGJqbOkNufWGUZ9cqVIo8I1cX+rR9j39L2w96F+0/JMu\nyxCLPUwXhUKBrPRiVVZ6sROxk//R1NSOh3+7uUulKu102iNhp0OpX1jkseVmOtQKBV1YCQCCwUiL\n6AwkcVCZDiEU7G0QnYGIpTR3ditUvhHL1HvjfOuGn+72352VP+bdAsVWm7bIEvX9fs9vmso9y+UF\nRetGXOxhupgMViwrvtkMwAzERq+vv3Ug1NK2v9FqC/a5HFBlp5vNi4vTLUbD7Dy8INAfahWdgSQO\nKtMhhPq66kVnIGLp7PKoRooKhQKnPEpNbzgMg2rs/5wUCgX+Ldvnqunm0ac2n6idt3S9w2lLS7i5\nVYVCgTlZy9RzspadXVSisqoJm97d3KHRtnS5HJGoy6EyLC72pWSm2ca0JGKy6u0L0ciUnEVlOoRA\nTyuNTGexltpjYfsCh32026fevtT52qMH6m/JyPGMvPXQ0k0mxUMmpP390DNtey0F7UsWf9Qz3sUe\npovV4sLyhZ9MAZACxJZEfOFfe/o7u481OGyhgNMhqedkp5gXFvnMOu3MW2KwvbOP3ifIWVSmQ+jt\naCwPhwJQqRNugECmQXP9jtaFN2W5R94yRqVT45AphI9Ho1ApJnY07CczPLbWQD0e3/SwP3vhTWZf\nav6wB0AlEqVChYI5l2qBS1MHbuOna/Ha21vajIbObqc9Kqe61cYlC9KsXrdlypdEnEqyLKO+obNO\ndA6SOKhMh9DZVL6vt70+aHFlz86dQbOc2toXkMZ4kI3pk4s8W//Im6/yZTgn+vx2nQ7/L1fne52/\n1LWrPKNu+dKbvWr1MBeESWAOWxoctk/bANgAIBQM4pnndgQC/SeaHLZwv9Mhaebm2lLmF3gNGoFL\nIo5Ve0cfqv1tR8ZzX8ZYEWJrzhoQW0nodQDvAvjC4OubTgbG2HoARZzzH0zm45LzJc9v7zSKhAJV\nPe3+Josr+4LnGJKZKRqNQueUxtxcBocJexQ9/euGWWJwrK7zpZrXhnvNj2x5uN4571pdTubCKVvs\nYbqoVRrMn7tWB6w9OyV+8EiZ/Mob21rMpu5ep12GN1VrXLogzeZymhN26FpW1dJxuqxpzKv7MMas\nAP4G4OOc8zOMMQWA5wHQKDfJUZkOQZbl0KKrv9YAgMp0lqkv2xlwX+EZ9f7SwSLX57sOvNncudTp\nOm893/HSqVS4f47Hs7Pm7d63K/f7ly67xWPQJ+a6u+PlceVKHleuA/FFy3t7evHkM+/0hKPHOh32\nSNDlUGgL5zqsBfkenSpBFpWob+z0I3Y9zbG6CbFLmp0BAM55lDH2GcQWg18DAIyxOwF8HbHrgZYA\n+AJi1zX9I4AQYuva3hFf7P3HOP/6ohcDeASxK8cEAOwf789JRo/K9ALCwV76pDgLdXUfac/15I7r\nQCIb82q2/rO0YSkmr0wHXOJ2GlZEo4b/2/5YgzpnjbIg/+IJTycnKq3GgIWF1xkRu6g0AGDH7lPR\n5/+5s8Vi7utxOmXJl6ozLV+UYbOmiFkSsac3WC2Pb8UbL4APLUHIOe9hjIUAgDFmR2x5v0Xx23+J\n2FJ/MmKL1H8XwGUAUuIXyh7q+qK/BrCec14Sv8A2mQZUphcQ6GlL6jU3yfhobMHgRKZpW1Z57OXH\nO/tyLJZh1ocdn4HFHo63vx98buth/6JltzotZses2K+f4StQZPgKzo5e29s68dhTW7slRVmnwx4J\nuewKXfG8VGtejlM7HUsitnX0Vo3zrpUAlgy+IX4d0Mvjf8xF7JJpPfE/bwPwEQDfRKxINwLoQOzy\nZxe6vqiHc14y6P4rx5mVjEFizJkkoJ622jOyHBUdg0yjcDAAg1s1oaGO57J848aO+ik9/7DIatU8\nmKb1tbz3285Dx95qnI1Lghr0FiyZf5NpceF9vkzPV7O0qi+lvvVOnuIHPy9p+uVvjlQ98/zhmnd2\nlnZ0dQem5PnrGjrHW6YbAFzDGMsFAMaYGsAvADTF/74cQCFjbOD3cA1i1yS9CbFLlq0D8AJixTpw\nfdErELuw9/OIXV+0Nn6QEwCsGmdOMka0Nu8FGCzuhSvW/2Cfyeaj0fssUXlsQ0/Wx/sNeptxQge+\n1Lx4sP3+DrvZodNP+YmiNd3d0aeaw3Xzlqy3O+3pkz4aTmad3S04Xb6lU61q7HI4ImGXXWVYXOy1\nZmfYJ7SoRFd3AF974MVPHDnhf3k892eMLQHwM8QGM2YA/0JsBPkFzvkdjLHbAXwDsQtolwC4B0A6\ngD8BCCK2f/QbnPNDjLFfAFiOD64v+t/xx38CQDdi+3WPc85/OO4fmIwKlekFSJKkXHL9t0p87NIc\n0VnI9Dh95LGahffkj2nR+qFEo1HYfrrbf9c4lhgcr39U17WVWwr6lyy+MeEXexAlEg2jrPJAqK3z\nYJvNGl8SMcNiWVycZjYMcc3aC9m1t7zxaw+8mCfLctcUxiVJhkZdFyDLcmT+2i+cAUBlOktoHaFJ\nmddXKBQ46VKoA+EwdONYYnA8bsvw2tr7G/DYpof9WQtuMqd5kmexh+miVKiQn3ORGrjo7IIc5eX1\nePudLR06XVunwxGV3U6VYUmxz5rutaouNHqtb+wspSIl56IyHUagu/U0gHWic5CpF+hth8mrn7QC\nct251PX6rw42fiIjZ9QrKU2UVRtb7GFjyctdu8rS/MuWr/dpknSxh+lis3qw3HrH2SURw+Eg/v7S\n7kBP38kWuy0UcDkk9Zwca8rCQp9RG19UoqWt57TIzCQxUZkOo7ul6lQ0GoGCps1mvNrTb7SzT6XZ\nJuvx1HoNDuiDkZtkGcppXjbvGq/bvCbcZ35ky8N1znnX6HIyF03azzXTqVQaFOav1gGrz64leuJE\nNTa8+U6b0djR7bJHcfRUE10Ig5yHjuYdRqv/1GtdzZV9onOQqSdrGrvUk3wpMf2tCzzbGvxCriwS\nX+zBO9+/Wbt92+/9vX1ddGj6OLkcGVix6NO2+flfyVAqbvacPN35nOhMJPFQmQ4jFOgq72yqOCM6\nB5l6Wkd00oePJk+KtEvuEvphbKXTYXjAI/nObH+s+eTpnXTJsAmqqeNn2joaDovOQRIPlekwZFmW\nA90t9A9nhuturYUlyzwl694Gr5njPtzaLPRglfhiD+61nfvM27c+4e/oag6KzJPMunvaTsh0AjoZ\nApXpCDoayw5EoxHRMcgU8pe/2eKa5zVNxWPbi9I0W3pb2qfisceq0JqieSjD4Gt773edh46+2Ril\nThizljb/cdEZSGKiMh1BS/XRv7X5eYfoHGTqKM2dPUr11B1k1rDEZavq7uqfsicYo89n+5y3RUuc\nOzf9yt/cWkPHBIxSZ1dLtLa+ZIvoHCQxUZmOINjXVdfVUnlUdA4ydXQOeUqPaveuKzC93lrXNPKW\n0yfdaFI8lGP1SUeeCby//6X6SCQsOlLCq6w9Xt7QXLFDdA6SmKhMR6G3o+Gg6AxkarTUngjb8x3j\nuuTaWJRl6Q3t/YGEm1e9Nd1r+7K+2fP+5kf8tXWnaSGCYbS2170vyzJ96iBDojIdhfa60+8GA92i\nY5Ap0Fy/rdWW69KNvOXEeG9ZbN9QX9Mw1c8zHhaNBg/kOn2ppa9g1+6/1AVDCTMjnTBCoX7U1J/e\nJjoHSVxUpqPQWntiQ3PV4UrROcjkU1sDfZJi6hdVUKgUOOaAsj+SuAezXe11m79tC3iPbnm4vqzy\nUJvoPInkTOWhmtNle/8iOgdJXFSmoyDLcn9fZ9Mh0TnI5IpGo9A5MeWj0gGOO5a436yraZyu5xsP\nnUqF78zxeBbUbaHFHgZpaq15X5Zlmp4iF0RlOkpdzRUH6PSymaW+bFfANd8z5ftLB2hMOuzTBCLR\nJLhS0wqn3fB9j+Qr3/5Y08nTO1pm89WlIpEw/A2lu0TnIImNynSUmioP/7619iRNfc0g3V2H282e\nFPV0Pqd6fVHqzsb6pPg9UigU+FquL/Wqrv2W7Vuf8Hd0Ns3KxR4qao41lVTsf1p0DpLYqExHKdDd\nWtvRULpbdA4yedT2YHAiF4keD0u6XbEj0tEzrU86QSwlRf2DTKOvY+9TnYeOvtkw2xZ7aGiu2BsM\n9tFSjGRYVKZj0FZ3emuUzsebEcLhIAxulUHEc/euzXIeb2tJuv1vn8vyOm+XS907Nz3qb2qp7hWd\nZzpE5SjqGsv2iM5BEh+V6RjUnd75ZFPloTrROcjE+fnbvakLfNO2v3Qw55Is3abu5oRYYnCsfAaj\n9FCOzac6+mz/+/tm/mIPNX7ecaby0NOic5DER2U6BrIsd3Q1V+wUnYNMXH+0vE1vMwr7/fcvdFj8\nPd1Juw9yfbrH9mVDs+f9zQ/X1dTxGbvYg7+h9EB3T1u16Bwk8VGZjlGr/9TGcJCWM012GltQ6Amf\nvmsKLa811yX0aTIjiS324PL6zvwTu3b9pS4YCoiONKlkWUZ9UzkdxUtGhcp0jBrL9j3bWH6gTHQO\nMn7B3k4YfTqz6BwlmRp9Z7A/6c85ucrjNn/bHvAe3fJI/ZmKg0lxpPJoVNQcay6tOPCE6BwkOVCZ\njpEsy4GulqrtonOQ8as+/Ua7Z0G6TXQO722LHa/V19SLzjEZBhZ7WFS/Rbd921P+nt7OpD/kt6r2\nxNbO7ha/6BwkOVCZjkNr7YmXAt0tM/vIixlMVtd3qQ0a0TGgUKlwJCWqDEWTvnfOusjp0H/fo/BV\n7fy/5uOntjUn62IPPb0d0YqaY8+LzkGSB5XpOLRUH321rmTPe6JzkPHROCLTe3LpMKx3LHa/6a9J\nqMuzTZRCocBXcnzua3sOpWzf+oS/PQkXezhZuudgWdXhF0XnIMmDynQcZFmW2/wnX4mEk+49Ytbr\naatDSpY5RXSOAboUA/aqe0PJOoIbTn6KRf2DTKOvc++TnQcPv9GYLIs9yLIMf0Pp2zKtH0rGgMp0\nnPx8x+P1pe+dFp2DjI2/fGOrq9An/OCjwZSfKEzd09SQlOedjsbnsnzOT0nlrl2bH/U3NVcl/GIP\nZVWHG0rK9z0qOgdJLlSm4yTLcl+b/+TGmTiimMkUxo5upVopOsaHpGQ5ldvDHUm3ItJYeAwG6cFs\nm0997K/B9/a+UB+OhERHuqCKmmNvdXQ1j/nAMMZYEWNsA2NsC2PsfcbYQ/Hb1zDG/jbZORlj6xlj\nD45h+1TG2OPx7y9njBXHvxd+EBxjLIMxdsM0Pl82Y2x3/Pu/McYuuEY3Y+ynjLHDjLHLh3tMKtMJ\naCw/8HBr7Ylm0TnI6Gkdskp0hqF0Xpbh4O3tSbVm73jcnO6xftXY6tm7+eG6Gv+pTtF5ztXcWtNb\nVnX4t2O9H2PMCuBvAL7OOV8LYCWAYsbYvQAS4hM357yBc/7l+B/vBuCLf58I+a4EcImIJ+ac3845\nH+7T3XoAF3POh704fEK+sSSLnva6irmrPrnJkV70SdFZyMja/KcitkKb8FNihuJaka1/+50dNcxq\nNYrOMtXMGg0eyHV7N5X9q3tnxd665ctv8WrU03ZZ2WHxM+9vr/afGs8qZzcB2Mw5PwMAnPMoY+wz\nAIIYVBKMsTsBfB1AP4ASAF8AkAvgjwBCiA1w7uCc1zDGfgzgUgBKAL/knL/AGLsYwCMA2gEEAOwf\nHIIxtg/ANQA6ALQAuJxzfogxth/A7QD+DOC++DaLGGMnAGgZY88CyIzfZz3nPDzoMd8BcAjAfADd\nALYDuBqAFcBHAPTE8+cMyvpc/H4H4/ezALiFc17FGPtqPIsM4O8AHgdwPwA9Y2wXgE4A34+/FiYA\nd8Rfm1cBNAPYCuAzAPI55zJj7KcA9nHOzx59zRirBHASwAkADwP4LQA9gL74az74NasAMBdA6hDb\nDXzoeI0xdg3n/IIrk9DIdIJaao79sbejgY5ESgKNde+2OPLcetE5LqRqnsXS0NuTuPOfk2ydx236\njr3fe2zLw/VnKvYLX+yhL9Atl9cc+8c47+4FUD74Bs55z+ARD2PMDuAhAFdwzi9DrBDvBbAOwJ74\n1wcBpDDGrgWQHd9uLYDvMcZSAPwawJ2c848AODpEjn8iVpSXAigDcBVjrBDAacQKXOacHwDwBoDv\ncM6rESus/4w/VwqAxec8pgzgPc75OgBaAD3x5z8BYHX8Z2jgnF8S/xn+mzHmGHS/qwC8DeD2eJZb\nEfuAcTmAjwHIA/BjAM9yzl8FUAjgU5zzKwC8BOCW+GOlAriKc/5DADsAXMMYU8Z/3pfPyZwO4HbO\n+b8D+DmAX8Uf7xcAfoIPj8ZlANJQ28Wfqx7AR4YrUoDKdMJaa46/XV+6h5YcSwLqlN6ApEjcX3nv\nDfMtG5r8Sb3E4FjpVCp8e47Xs7j+Hf32d5/09/R2CFvm8SjfdqCkfN+fx3n3SgAZg29gjOUwxi7D\nB2/cuQCOc84HpvO3ASgC8HvERpIbAXwFQBhAMYCljLGtiBWfCkA2AA/nvGTQ/c/1EoDrERs5fg+x\ncvsogBeGyd7KOa+Kf18PYKirKR2If21HrEQBoA2ADkABYqNVcM67438/J77NwfjX6vi2RQCyAGwB\nsAmAHUB+fJuBU9b8AH7FGPsjgCvwwQxq+aAR85MA7kKsSN8ePJKOa+acD3xAmw/gv+Kv5f8D4L7A\n61A8yu2GlLjvLElClmW5ufro0/297ULXeiXDi0aj0Dklregcw1EoFOA+lbY3PGsGp2ctdzp03/cq\nfVU7Hm85furdpuk+sK8v0C2XVR76oyzL4/13vAGxkVIuAMQPaPklYuUxoBxAIWNsoKzWAOCITRFv\nj4/8XgDwXcSmKLfGR0lXAXgewBkAtYyxgcdcdW4IzvlxxEp7OYDXAZjjj/86PigrAIgiNiULjG6f\n6XDbnARwGQAwxsyIldLAKP3c+3HEPlBcEf/ZngFwJJ5noI9+B+AuzvnnECvWgdvPnqrEOd+JWGF/\nHrEPI+cafFrTKQDfjT/fVwBcaPbh5Dn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n3urZdHKXd8Gi69xpniJ5mqfIBsAGAC3NnXj8txu7ZfITnXZrOOiwybRzC11J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\nMFk7AAAAAElFTkSuQmCC\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x10bb2c6a0>"
+        "<matplotlib.figure.Figure at 0x10a67f198>"
        ]
       }
      ],
-     "prompt_number": 109
+     "prompt_number": 215
     },
     {
      "cell_type": "heading",
@@ -760,7 +760,7 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "avg_complaints_by_day.plot(kind='pie', figsize=(6,6))\n",
+      "avg_complaints_by_day.plot(kind='pie', figsize=(6,6), autopct='%.2f', fontsize=10)\n",
       "plt.show()"
      ],
      "language": "python",
@@ -769,13 +769,13 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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QeEQIFKWkqH5jLjFn/32n3f7h7g6x6wmGlj1Nzoy8c2hDvxin0loStCYWs6fV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\n/OyJGWLXFOVojvEoePr6seTdLatWbzh0a/UB+wG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N/76DZ2yXTbdkYlt6tkjEBrHria6uqsav061Ks9TudX9/dO/HL10vdB3pQn/b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\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x10a7159b0>"
+        "<matplotlib.figure.Figure at 0x109e91908>"
        ]
       }
      ],
-     "prompt_number": 168
+     "prompt_number": 213
     },
     {
      "cell_type": "markdown",
@@ -784,6 +784,22 @@
       "Complaining to the CFPB is weekday work!  The most common days of the week for complaints are Monday and Tuesday.  Complaints trail off as the week goes on and significantly dip over the weekend."
      ]
     },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "\n",
+      "\n"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 3,
+     "metadata": {},
+     "source": [
+      "From this point forward, it's me experimenting with trying to get the frequency of complaints by state per capita.  A big obstacle has been the different notation of states between full name and postal code.  Proceed with caution.  Here be not dragons, but rather the lame attempts of a novice."
+     ]
+    },
     {
      "cell_type": "code",
      "collapsed": false,
@@ -933,9 +949,11 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "for key, thing in states:\n",
-      "    complaints_by_state.replace(to_replace=key, value=thing)\n",
-      "complaints_by_state"
+      "complaints_by_state.apply(lambda x: states.get(x,x))\n",
+      "\n",
+      "# for key, thing in states:\n",
+      "#     complaints_by_state.replace(to_replace=key, value=thing)\n",
+      "# complaints_by_state"
      ],
      "language": "python",
      "metadata": {},
@@ -943,7 +961,7 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 211,
+       "prompt_number": 221,
        "text": [
         "CA    1591\n",
         "TX    1099\n",
@@ -1001,7 +1019,7 @@
        ]
       }
      ],
-     "prompt_number": 211
+     "prompt_number": 221
     },
     {
      "cell_type": "code",