From f0b58b8a9b58e0cafcc7d51828994d3ffae578fc Mon Sep 17 00:00:00 2001
From: grizax <ndbfoster@gmail.com>
Date: Mon, 2 Feb 2015 19:17:14 -0500
Subject: [PATCH 1/3] Consumer Complaints

---
 .../Consumer Complaints-checkpoint.ipynb      | 192 +++++++
 Consumer Complaints.ipynb                     | 474 ++++++++++++++++++
 2 files changed, 666 insertions(+)
 create mode 100644 .ipynb_checkpoints/Consumer Complaints-checkpoint.ipynb
 create mode 100644 Consumer Complaints.ipynb

diff --git a/.ipynb_checkpoints/Consumer Complaints-checkpoint.ipynb b/.ipynb_checkpoints/Consumer Complaints-checkpoint.ipynb
new file mode 100644
index 0000000..cefa12f
--- /dev/null
+++ b/.ipynb_checkpoints/Consumer Complaints-checkpoint.ipynb	
@@ -0,0 +1,192 @@
+{
+ "metadata": {
+  "name": "",
+  "signature": "sha256:e338c0a2140bcb3dc7dcb80c8294a8f94c12ea4cda9602be7ab245729aaa461b"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import numpy as np\n",
+      "import matplotlib as plt\n",
+      "import pandas as pd\n",
+      "# Make the graphs a bit prettier, and bigger"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 1
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints = pd.read_csv('complaints_dec_2014.csv')"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 2
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "product_complaints = complaints['Product'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 3
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "product_complaints #Number of complaints by product"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 4,
+       "text": [
+        "Mortgage                   3002\n",
+        "Debt collection            2942\n",
+        "Credit reporting           2113\n",
+        "Bank account or service    1136\n",
+        "Credit card                1100\n",
+        "Consumer loan               578\n",
+        "Student loan                340\n",
+        "Payday loan                 141\n",
+        "Money transfers             107\n",
+        "Prepaid card                 70\n",
+        "Other financial service      14\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 4
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "(product_complaints).plot(kind='barh')"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 5,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x10d6fa828>"
+       ]
+      }
+     ],
+     "prompt_number": 5
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "company_complaints = complaints['Company'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 6
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cc = company_complaints[:10] #Top 10 complaints by company"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 7
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "company_complaints[:10].plot(kind='barh', title='Total complaints by company')"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 8,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x10d6fa828>"
+       ]
+      }
+     ],
+     "prompt_number": 8
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "company_response = complaints['Company response'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 9
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "company_response"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 10,
+       "text": [
+        "Closed with explanation            8185\n",
+        "Closed with non-monetary relief    1253\n",
+        "In progress                        1056\n",
+        "Closed with monetary relief         643\n",
+        "Closed                              239\n",
+        "Untimely response                   167\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 10
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "company_response.plot(kind='barh')"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 10
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
\ No newline at end of file
diff --git a/Consumer Complaints.ipynb b/Consumer Complaints.ipynb
new file mode 100644
index 0000000..62236d3
--- /dev/null
+++ b/Consumer Complaints.ipynb	
@@ -0,0 +1,474 @@
+{
+ "metadata": {
+  "name": "",
+  "signature": "sha256:f803d6453db257b84edee15700049af5c539fce76a1a62a12488ba3b3c67ee04"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import numpy as np\n",
+      "import seaborn as sb\n",
+      "import matplotlib.pyplot as plt\n",
+      "import pandas as pd\n",
+      "pd.set_option('display.mpl_style', 'default') \n",
+      "pd.set_option('display.width', 5000) \n",
+      "pd.set_option('display.max_columns', 60)\n",
+      "pd.options.display.mpl_style = 'default'\n",
+      "%matplotlib inline"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 124
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "Importing a data set on complaints "
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints = pd.read_csv('complaints_dec_2014.csv')"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 125
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints.head()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "html": [
+        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+        "<table border=\"1\" class=\"dataframe\">\n",
+        "  <thead>\n",
+        "    <tr style=\"text-align: right;\">\n",
+        "      <th></th>\n",
+        "      <th>Complaint ID</th>\n",
+        "      <th>Product</th>\n",
+        "      <th>Sub-product</th>\n",
+        "      <th>Issue</th>\n",
+        "      <th>Sub-issue</th>\n",
+        "      <th>State</th>\n",
+        "      <th>ZIP code</th>\n",
+        "      <th>Submitted via</th>\n",
+        "      <th>Date 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": 126,
+       "text": [
+        "   Complaint ID          Product Sub-product                                  Issue         Sub-issue State  ZIP code Submitted via Date received Date sent to company                          Company                 Company response Timely response? Consumer disputed?\n",
+        "0       1177167  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014   Ad Astra Recovery Services Inc          Closed with explanation              Yes                NaN\n",
+        "1       1177166  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014  Unique Management Services, Inc          Closed with explanation              Yes                NaN\n",
+        "2       1177165  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014                 CL Holdings, LLC      Closed with monetary relief              Yes                NaN\n",
+        "3       1177164  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014   Enhanced Recovery Company, LLC  Closed with non-monetary relief              Yes                NaN\n",
+        "4       1177163  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014       Enhanced Acquisitions, LLC          Closed with explanation              Yes                NaN"
+       ]
+      }
+     ],
+     "prompt_number": 126
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "product_complaints = complaints['Product'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 108
+    },
+    {
+     "cell_type": "heading",
+     "level": 3,
+     "metadata": {},
+     "source": [
+      "Complaints by Product"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "product_complaints"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 109,
+       "text": [
+        "Mortgage                   3002\n",
+        "Debt collection            2942\n",
+        "Credit reporting           2113\n",
+        "Bank account or service    1136\n",
+        "Credit card                1100\n",
+        "Consumer loan               578\n",
+        "Student loan                340\n",
+        "Payday loan                 141\n",
+        "Money transfers             107\n",
+        "Prepaid card                 70\n",
+        "Other financial service      14\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 109
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "pc = product_complaints"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 110
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "pc.sort()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 117
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "pc.plot(kind='barh', title='Complaints by Product',)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 119,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x1153e0400>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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GAZeRFMwdwCozu93dXwK6gcuBTcB9wIX1jlshz+SwX8eTnFQMmNkKd38SuNnd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\n/wcVif4vG1+/jAAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x1152ae278>"
+       ]
+      }
+     ],
+     "prompt_number": 119
+    },
+    {
+     "cell_type": "heading",
+     "level": 3,
+     "metadata": {},
+     "source": [
+      "Complaints by Company"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "company_complaints = complaints['Company'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 112
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cc = company_complaints[:10]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 113
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cc.sort()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 114
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cc"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 115,
+       "text": [
+        "Capital One            252\n",
+        "Nationstar Mortgage    357\n",
+        "Citibank               403\n",
+        "Ocwen                  408\n",
+        "JPMorgan Chase         545\n",
+        "Wells Fargo            598\n",
+        "TransUnion             604\n",
+        "Experian               675\n",
+        "Equifax                737\n",
+        "Bank of America        766\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 115
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cc.plot(kind='barh', title='Top 10 Worst Offenders')"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 120,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x11559da90>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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ISA215PP6TG5GPT09+aW9LbWOIVJWd1cHM6e21zpGvxphVtYIGaFxcvb29tLZ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\nAAAASUVORK5CYII=\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x1154522e8>"
+       ]
+      }
+     ],
+     "prompt_number": 120
+    },
+    {
+     "cell_type": "heading",
+     "level": 3,
+     "metadata": {},
+     "source": [
+      "How Companies Respond"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "company_response = complaints['Company response'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 61
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "company_response"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 62,
+       "text": [
+        "Closed with explanation            8185\n",
+        "Closed with non-monetary relief    1253\n",
+        "In progress                        1056\n",
+        "Closed with monetary relief         643\n",
+        "Closed                              239\n",
+        "Untimely response                   167\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 62
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "company_response.plot(title='How Companies Respond', kind='pie', \n",
+      "                             \n",
+      "                             figsize=(7, 7))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 121,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x1156bb048>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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Wuh7fDxRFSdM7C9FUYflJUM29/m+8tKPjUI75ENF4/XVT28Labt8v9M5BNFVY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\n+AzYdzGAk6WUEQAQQhgH2e9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lvkWXhBB9AJbGRobywF9GUwbLj44c6eYms9GA8AS+cVFq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\nlSlE8wAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x114bcd278>"
+       ]
+      }
+     ],
+     "prompt_number": 121
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
\ No newline at end of file

From a7c0201c8e79e6e0fcf82fc49ff01b1d5c4dee7b Mon Sep 17 00:00:00 2001
From: grizax <ndbfoster@gmail.com>
Date: Mon, 2 Feb 2015 19:23:09 -0500
Subject: [PATCH 2/3] Styles changed

---
 .../Consumer Complaints-checkpoint.ipynb      | 349 ++++++++++++++++--
 Consumer Complaints.ipynb                     |  41 +-
 2 files changed, 351 insertions(+), 39 deletions(-)

diff --git a/.ipynb_checkpoints/Consumer Complaints-checkpoint.ipynb b/.ipynb_checkpoints/Consumer Complaints-checkpoint.ipynb
index cefa12f..5cff9ab 100644
--- a/.ipynb_checkpoints/Consumer Complaints-checkpoint.ipynb	
+++ b/.ipynb_checkpoints/Consumer Complaints-checkpoint.ipynb	
@@ -1,26 +1,56 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:e338c0a2140bcb3dc7dcb80c8294a8f94c12ea4cda9602be7ab245729aaa461b"
+  "signature": "sha256:ca5cddf33e51d374c69c50e0664a112d1ab5660ce86979378eb121677c0a06c9"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
  "worksheets": [
   {
    "cells": [
+    {
+     "cell_type": "heading",
+     "level": 1,
+     "metadata": {},
+     "source": [
+      "Analyzing Consumer Complaint Data"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Using pandas to read and analyze data from the CFPB Consumer Complaint Database. This database is a collection of all complaints made by American consumers to the Consumer Financial Protection Bureau."
+     ]
+    },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
       "import numpy as np\n",
-      "import matplotlib as plt\n",
+      "import seaborn as sb\n",
+      "import matplotlib.pyplot as plt\n",
       "import pandas as pd\n",
-      "# Make the graphs a bit prettier, and bigger"
+      "pd.set_option('display.mpl_style', 'default') \n",
+      "pd.set_option('display.width', 5000) \n",
+      "pd.set_option('display.max_columns', 60)\n",
+      "pd.options.display.mpl_style = 'default'\n",
+      "%matplotlib inline"
      ],
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 1
+     "prompt_number": 124
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "Importing a data set on complaints "
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
     },
     {
      "cell_type": "code",
@@ -31,7 +61,144 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 2
+     "prompt_number": 125
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "complaints.head()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "html": [
+        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+        "<table border=\"1\" class=\"dataframe\">\n",
+        "  <thead>\n",
+        "    <tr style=\"text-align: right;\">\n",
+        "      <th></th>\n",
+        "      <th>Complaint ID</th>\n",
+        "      <th>Product</th>\n",
+        "      <th>Sub-product</th>\n",
+        "      <th>Issue</th>\n",
+        "      <th>Sub-issue</th>\n",
+        "      <th>State</th>\n",
+        "      <th>ZIP code</th>\n",
+        "      <th>Submitted via</th>\n",
+        "      <th>Date 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": 126,
+       "text": [
+        "   Complaint ID          Product Sub-product                                  Issue         Sub-issue State  ZIP code Submitted via Date received Date sent to company                          Company                 Company response Timely response? Consumer disputed?\n",
+        "0       1177167  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014   Ad Astra Recovery Services Inc          Closed with explanation              Yes                NaN\n",
+        "1       1177166  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014  Unique Management Services, Inc          Closed with explanation              Yes                NaN\n",
+        "2       1177165  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014                 CL Holdings, LLC      Closed with monetary relief              Yes                NaN\n",
+        "3       1177164  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014   Enhanced Recovery Company, LLC  Closed with non-monetary relief              Yes                NaN\n",
+        "4       1177163  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014       Enhanced Acquisitions, LLC          Closed with explanation              Yes                NaN"
+       ]
+      }
+     ],
+     "prompt_number": 126
     },
     {
      "cell_type": "code",
@@ -42,13 +209,21 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 3
+     "prompt_number": 108
+    },
+    {
+     "cell_type": "heading",
+     "level": 3,
+     "metadata": {},
+     "source": [
+      "Complaints by Product"
+     ]
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "product_complaints #Number of complaints by product"
+      "product_complaints"
      ],
      "language": "python",
      "metadata": {},
@@ -56,7 +231,7 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 4,
+       "prompt_number": 109,
        "text": [
         "Mortgage                   3002\n",
         "Debt collection            2942\n",
@@ -73,13 +248,35 @@
        ]
       }
      ],
-     "prompt_number": 4
+     "prompt_number": 109
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "pc = product_complaints"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 110
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "(product_complaints).plot(kind='barh')"
+      "pc.sort()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 117
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "pc.plot(kind='barh', title='Complaints by Product', figsize=(7, 5))"
      ],
      "language": "python",
      "metadata": {},
@@ -87,13 +284,29 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 5,
+       "prompt_number": 131,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x115e05048>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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psZGIiIikiooXERERSRUVLyIiIpIqKl5EREQkVVS8iIiISKqoeBEREZFUUfEiIiIiqaLi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\nb8wZsdq4PgAAAABJRU5ErkJggg==\n",
        "text": [
-        "<matplotlib.axes._subplots.AxesSubplot at 0x10d6fa828>"
+        "<matplotlib.figure.Figure at 0x115475e80>"
        ]
       }
      ],
-     "prompt_number": 5
+     "prompt_number": 131
+    },
+    {
+     "cell_type": "heading",
+     "level": 3,
+     "metadata": {},
+     "source": [
+      "Complaints by Company"
+     ]
     },
     {
      "cell_type": "code",
@@ -104,24 +317,35 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 6
+     "prompt_number": 112
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cc = company_complaints[:10]"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 113
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "cc = company_complaints[:10] #Top 10 complaints by company"
+      "cc.sort()"
      ],
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 7
+     "prompt_number": 114
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "company_complaints[:10].plot(kind='barh', title='Total complaints by company')"
+      "cc"
      ],
      "language": "python",
      "metadata": {},
@@ -129,13 +353,59 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 8,
+       "prompt_number": 115,
        "text": [
-        "<matplotlib.axes._subplots.AxesSubplot at 0x10d6fa828>"
+        "Capital One            252\n",
+        "Nationstar Mortgage    357\n",
+        "Citibank               403\n",
+        "Ocwen                  408\n",
+        "JPMorgan Chase         545\n",
+        "Wells Fargo            598\n",
+        "TransUnion             604\n",
+        "Experian               675\n",
+        "Equifax                737\n",
+        "Bank of America        766\n",
+        "dtype: int64"
        ]
       }
      ],
-     "prompt_number": 8
+     "prompt_number": 115
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "cc.plot(kind='barh', title='Top 10 Worst Offenders', figsize=(7, 5))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 130,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x115c87d68>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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A0cBk4Aozmx9WSkREREZUSz5f7hwmw6F482U96enpyS/uLb2SIiIitdbd1cGsae01OXZv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\nkp1CdgAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x1156a0080>"
+       ]
+      }
+     ],
+     "prompt_number": 130
+    },
+    {
+     "cell_type": "heading",
+     "level": 3,
+     "metadata": {},
+     "source": [
+      "How Companies Respond"
+     ]
     },
     {
      "cell_type": "code",
@@ -146,7 +416,7 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 9
+     "prompt_number": 61
     },
     {
      "cell_type": "code",
@@ -160,7 +430,7 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 10,
+       "prompt_number": 62,
        "text": [
         "Closed with explanation            8185\n",
         "Closed with non-monetary relief    1253\n",
@@ -172,18 +442,45 @@
        ]
       }
      ],
-     "prompt_number": 10
+     "prompt_number": 62
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "company_response.plot(kind='barh')"
+      "company_response.plot(title='How Companies Respond', kind='pie', \n",
+      "                             \n",
+      "                             figsize=(7, 7))"
      ],
      "language": "python",
      "metadata": {},
-     "outputs": [],
-     "prompt_number": 10
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 121,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x1156bb048>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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Wuh7fDxRFSdM7C9FUYflJUM29/m+8tKPjUI75ENF4/XVT28Labt8v9M5BNFVY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\n+AzYdzGAk6WUEQAQQhgH2e9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lvkWXhBB9AJbGRobywF9GUwbLj44c6eYms9GA8AS+cVFq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\nlSlE8wAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x114bcd278>"
+       ]
+      }
+     ],
+     "prompt_number": 121
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
     }
    ],
    "metadata": {}
diff --git a/Consumer Complaints.ipynb b/Consumer Complaints.ipynb
index 62236d3..5cff9ab 100644
--- a/Consumer Complaints.ipynb	
+++ b/Consumer Complaints.ipynb	
@@ -1,13 +1,28 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:f803d6453db257b84edee15700049af5c539fce76a1a62a12488ba3b3c67ee04"
+  "signature": "sha256:ca5cddf33e51d374c69c50e0664a112d1ab5660ce86979378eb121677c0a06c9"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
  "worksheets": [
   {
    "cells": [
+    {
+     "cell_type": "heading",
+     "level": 1,
+     "metadata": {},
+     "source": [
+      "Analyzing Consumer Complaint Data"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Using pandas to read and analyze data from the CFPB Consumer Complaint Database. This database is a collection of all complaints made by American consumers to the Consumer Financial Protection Bureau."
+     ]
+    },
     {
      "cell_type": "code",
      "collapsed": false,
@@ -261,7 +276,7 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "pc.plot(kind='barh', title='Complaints by Product',)"
+      "pc.plot(kind='barh', title='Complaints by Product', figsize=(7, 5))"
      ],
      "language": "python",
      "metadata": {},
@@ -269,21 +284,21 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 119,
+       "prompt_number": 131,
        "text": [
-        "<matplotlib.axes._subplots.AxesSubplot at 0x1153e0400>"
+        "<matplotlib.axes._subplots.AxesSubplot at 0x115e05048>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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GAZeRFMwdwCozu93dXwK6gcuBTcB9wIX1jlshz+SwX8eTnFQMmNkKd38SuNnd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\nKhsYGMgtGOygv6+HGdO60o5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psZGIiIikiooXERERSRUVLyIiIpIqKl5EREQkVVS8iIiISKqoeBEREZFUUfEiIiIiqaLi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\nb8wZsdq4PgAAAABJRU5ErkJggg==\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x1152ae278>"
+        "<matplotlib.figure.Figure at 0x115475e80>"
        ]
       }
      ],
-     "prompt_number": 119
+     "prompt_number": 131
     },
     {
      "cell_type": "heading",
@@ -360,7 +375,7 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "cc.plot(kind='barh', title='Top 10 Worst Offenders')"
+      "cc.plot(kind='barh', title='Top 10 Worst Offenders', figsize=(7, 5))"
      ],
      "language": "python",
      "metadata": {},
@@ -368,21 +383,21 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 120,
+       "prompt_number": 130,
        "text": [
-        "<matplotlib.axes._subplots.AxesSubplot at 0x11559da90>"
+        "<matplotlib.axes._subplots.AxesSubplot at 0x115c87d68>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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A0cBk4Aozmx9WSkREREZUSz5f7hwmw6F482U96enpyS/uLb2SIiIitdbd1cGsae01OXZv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\nkp1CdgAAAABJRU5ErkJggg==\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x1154522e8>"
+        "<matplotlib.figure.Figure at 0x1156a0080>"
        ]
       }
      ],
-     "prompt_number": 120
+     "prompt_number": 130
     },
     {
      "cell_type": "heading",

From c2ac52ed6be66d15f572b4639d2e32180c760c88 Mon Sep 17 00:00:00 2001
From: grizax <ndbfoster@gmail.com>
Date: Tue, 3 Feb 2015 00:43:35 -0500
Subject: [PATCH 3/3] Consumer Complaints Assignment

---
 .../Consumer Complaints-checkpoint.ipynb      | 338 ++++++++++++++----
 Consumer Complaints.ipynb                     | 338 ++++++++++++++----
 requirements.txt                              |   4 +
 3 files changed, 536 insertions(+), 144 deletions(-)
 create mode 100644 requirements.txt

diff --git a/.ipynb_checkpoints/Consumer Complaints-checkpoint.ipynb b/.ipynb_checkpoints/Consumer Complaints-checkpoint.ipynb
index 5cff9ab..0fb3d15 100644
--- a/.ipynb_checkpoints/Consumer Complaints-checkpoint.ipynb	
+++ b/.ipynb_checkpoints/Consumer Complaints-checkpoint.ipynb	
@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:ca5cddf33e51d374c69c50e0664a112d1ab5660ce86979378eb121677c0a06c9"
+  "signature": "sha256:4f6daef6cb638a149a3976c3a4fd78e55a1d45b804c7d7380122be250e5584e8"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -16,21 +16,28 @@
       "Analyzing Consumer Complaint Data"
      ]
     },
+    {
+     "cell_type": "heading",
+     "level": 6,
+     "metadata": {},
+     "source": [
+      "by Nick Foster"
+     ]
+    },
     {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "Using pandas to read and analyze data from the CFPB Consumer Complaint Database. This database is a collection of all complaints made by American consumers to the Consumer Financial Protection Bureau."
+      "Using pandas to read and analyze data from the CFPB Consumer Complaint Database. This database is a collection of all complaints made by American consumers to the Consumer Financial Protection Bureau in December 2014."
      ]
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "import numpy as np\n",
+      "import pandas as pd\n",
       "import seaborn as sb\n",
       "import matplotlib.pyplot as plt\n",
-      "import pandas as pd\n",
       "pd.set_option('display.mpl_style', 'default') \n",
       "pd.set_option('display.width', 5000) \n",
       "pd.set_option('display.max_columns', 60)\n",
@@ -40,28 +47,35 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 124
+     "prompt_number": 419
     },
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "Importing a data set on complaints "
-     ],
-     "language": "python",
+     "cell_type": "heading",
+     "level": 2,
      "metadata": {},
-     "outputs": []
+     "source": [
+      "Importing the Consumer Complaint Database with Pandas"
+     ]
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "complaints = pd.read_csv('complaints_dec_2014.csv')"
+      "complaints = pd.read_csv('complaints_dec_2014.csv')\n",
+      "complaints.index = pd.to_datetime(complaints.pop(\"Date received\"), format=\"%m/%d/%Y\")"
      ],
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 125
+     "prompt_number": 420
+    },
+    {
+     "cell_type": "heading",
+     "level": 5,
+     "metadata": {},
+     "source": [
+      "Data Set Example"
+     ]
     },
     {
      "cell_type": "code",
@@ -87,17 +101,32 @@
         "      <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",
+        "    <tr>\n",
+        "      <th>Date received</th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "    </tr>\n",
         "  </thead>\n",
         "  <tbody>\n",
         "    <tr>\n",
-        "      <th>0</th>\n",
+        "      <th>2014-12-31</th>\n",
         "      <td> 1177167</td>\n",
         "      <td> Debt collection</td>\n",
         "      <td> NaN</td>\n",
@@ -107,14 +136,13 @@
         "      <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",
+        "      <th>2014-12-31</th>\n",
         "      <td> 1177166</td>\n",
         "      <td> Debt collection</td>\n",
         "      <td> NaN</td>\n",
@@ -124,14 +152,13 @@
         "      <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",
+        "      <th>2014-12-31</th>\n",
         "      <td> 1177165</td>\n",
         "      <td> Debt collection</td>\n",
         "      <td> NaN</td>\n",
@@ -141,14 +168,13 @@
         "      <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",
+        "      <th>2014-12-31</th>\n",
         "      <td> 1177164</td>\n",
         "      <td> Debt collection</td>\n",
         "      <td> NaN</td>\n",
@@ -158,14 +184,13 @@
         "      <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",
+        "      <th>2014-12-31</th>\n",
         "      <td> 1177163</td>\n",
         "      <td> Debt collection</td>\n",
         "      <td> NaN</td>\n",
@@ -175,7 +200,6 @@
         "      <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",
@@ -187,18 +211,19 @@
        ],
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 126,
+       "prompt_number": 421,
        "text": [
-        "   Complaint ID          Product Sub-product                                  Issue         Sub-issue State  ZIP code Submitted via Date received Date sent to company                          Company                 Company response Timely response? Consumer disputed?\n",
-        "0       1177167  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014   Ad Astra Recovery Services Inc          Closed with explanation              Yes                NaN\n",
-        "1       1177166  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014  Unique Management Services, Inc          Closed with explanation              Yes                NaN\n",
-        "2       1177165  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014                 CL Holdings, LLC      Closed with monetary relief              Yes                NaN\n",
-        "3       1177164  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014   Enhanced Recovery Company, LLC  Closed with non-monetary relief              Yes                NaN\n",
-        "4       1177163  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014       Enhanced Acquisitions, LLC          Closed with explanation              Yes                NaN"
+        "               Complaint ID          Product Sub-product                                  Issue         Sub-issue State  ZIP code Submitted via Date sent to company                          Company                 Company response Timely response? Consumer disputed?\n",
+        "Date received                                                                                                                                                                                                                                                             \n",
+        "2014-12-31          1177167  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014   Ad Astra Recovery Services Inc          Closed with explanation              Yes                NaN\n",
+        "2014-12-31          1177166  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014  Unique Management Services, Inc          Closed with explanation              Yes                NaN\n",
+        "2014-12-31          1177165  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014                 CL Holdings, LLC      Closed with monetary relief              Yes                NaN\n",
+        "2014-12-31          1177164  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014   Enhanced Recovery Company, LLC  Closed with non-monetary relief              Yes                NaN\n",
+        "2014-12-31          1177163  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014       Enhanced Acquisitions, LLC          Closed with explanation              Yes                NaN"
        ]
       }
      ],
-     "prompt_number": 126
+     "prompt_number": 421
     },
     {
      "cell_type": "code",
@@ -209,14 +234,14 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 108
+     "prompt_number": 422
     },
     {
      "cell_type": "heading",
-     "level": 3,
+     "level": 2,
      "metadata": {},
      "source": [
-      "Complaints by Product"
+      "Products/Services People are Complaining About"
      ]
     },
     {
@@ -231,7 +256,7 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 109,
+       "prompt_number": 423,
        "text": [
         "Mortgage                   3002\n",
         "Debt collection            2942\n",
@@ -248,7 +273,7 @@
        ]
       }
      ],
-     "prompt_number": 109
+     "prompt_number": 423
     },
     {
      "cell_type": "code",
@@ -259,7 +284,7 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 110
+     "prompt_number": 424
     },
     {
      "cell_type": "code",
@@ -270,13 +295,14 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 117
+     "prompt_number": 425
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "pc.plot(kind='barh', title='Complaints by Product', figsize=(7, 5))"
+      "pc.plot(kind='barh', title='Products vs. Complaints', figsize=(10, 9), \n",
+      "        color = sb.cubehelix_palette(11, start=.5, rot=.1, dark=.2, light=.95))"
      ],
      "language": "python",
      "metadata": {},
@@ -284,28 +310,35 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 131,
+       "prompt_number": 458,
        "text": [
-        "<matplotlib.axes._subplots.AxesSubplot at 0x115e05048>"
+        "<matplotlib.axes._subplots.AxesSubplot at 0x1243e7080>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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psZGIiIikiooXERERSRUVLyIiIpIqKl5EREQkVVS8iIiISKqoeBEREZFUUfEiIiIiqaLi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\nHnA0EAEdwEnuPlQpIDP7HvA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HnX+emQ8BI8BFwKPAPwAGa0mSJJZesN4feBBYCewH3NS07wbsC9wHbMzMTQAR8fdNv4dm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\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x115475e80>"
+        "<matplotlib.figure.Figure at 0x1307a4978>"
        ]
       }
      ],
-     "prompt_number": 131
+     "prompt_number": 458
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "                  Mortgage related issues are what people are complaining about the most"
+     ]
     },
     {
      "cell_type": "heading",
-     "level": 3,
+     "level": 2,
      "metadata": {},
      "source": [
-      "Complaints by Company"
+      "Top 10 Companies with the Most Consumer Complaints"
      ]
     },
     {
@@ -317,7 +350,7 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 112
+     "prompt_number": 462
     },
     {
      "cell_type": "code",
@@ -328,7 +361,7 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 113
+     "prompt_number": 463
     },
     {
      "cell_type": "code",
@@ -339,7 +372,7 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 114
+     "prompt_number": 429
     },
     {
      "cell_type": "code",
@@ -353,7 +386,7 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 115,
+       "prompt_number": 430,
        "text": [
         "Capital One            252\n",
         "Nationstar Mortgage    357\n",
@@ -369,13 +402,14 @@
        ]
       }
      ],
-     "prompt_number": 115
+     "prompt_number": 430
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "cc.plot(kind='barh', title='Top 10 Worst Offenders', figsize=(7, 5))"
+      "cc.plot(kind='barh', title='Companies vs. Complaints', figsize=(10, 9), \n",
+      "        color = sb.cubehelix_palette(10, start=2, rot=.3, dark=.2, light=.9))"
      ],
      "language": "python",
      "metadata": {},
@@ -383,28 +417,35 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 130,
+       "prompt_number": 460,
        "text": [
-        "<matplotlib.axes._subplots.AxesSubplot at 0x115c87d68>"
+        "<matplotlib.axes._subplots.AxesSubplot at 0x131543c18>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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A0cBk4Aozmx9WSkREREZUSz5f7hwmw6F482U96enpyS/uLb2SIiIitdbd1cGsae01OXZv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\nWram1iWI1KXurg4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JUrEMu5IkSSqWYVeSJEnFMuxKkiSpWIZdSZIkFcuwK0mSpGIZdiVJklQsw64k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\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x1156a0080>"
+        "<matplotlib.figure.Figure at 0x1305d1518>"
        ]
       }
      ],
-     "prompt_number": 130
+     "prompt_number": 460
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Bank of America has the most complaints against them at 766. However, that could be just because they have the most accounts. "
+     ]
     },
     {
      "cell_type": "heading",
-     "level": 3,
+     "level": 2,
      "metadata": {},
      "source": [
-      "How Companies Respond"
+      "How Companies are Responding"
      ]
     },
     {
@@ -416,7 +457,7 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 61
+     "prompt_number": 432
     },
     {
      "cell_type": "code",
@@ -430,7 +471,7 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 62,
+       "prompt_number": 433,
        "text": [
         "Closed with explanation            8185\n",
         "Closed with non-monetary relief    1253\n",
@@ -442,15 +483,80 @@
        ]
       }
      ],
-     "prompt_number": 62
+     "prompt_number": 433
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.figure(figsize=[10, 10])\n",
+      "plt.subplot(111)\n",
+      "plt.title(\"Company Responses\")\n",
+      "colors = ['turquoise', 'lightgrey', 'lightgreen', 'lightskyblue', 'lightcoral', 'lightblue']\n",
+      "explode = (.05, 0, 0, 0, 0, 0)\n",
+      "plt.pie(company_response, explode=explode, shadow=True, colors=colors, labels=company_response.index.values, autopct='%1.1f%%', startangle=30)\n",
+      "plt.axis('equal')\n",
+      "plt.show"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 447,
+       "text": [
+        "<function matplotlib.pyplot.show>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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u8DoLEWUuFj+ibghXVux2xEHfP8mYPnXGV5rNzVyIiMhTX9vx/HeT0Z9/3VB/\nsNdZiCgzsfgRbadwZUXZuPIRZxzyoxMPecVIFnqdh4iICABeSLQOW2wlbldKDfM6CxFlHhY/ou0Q\nrqwIhQKBC6665upjHglYpV7nISIi6uyuWKP4yoo9rZTye52FiDILix/RNgpXVmgAzv7DL391zLOD\njJFxuF5HIiIi+o44XNwZa9xrqR2/y+ssRJRZWPyItt2RF5559tFfjRgi1sPhzmlERJSR1jmW77l4\ny3FfRup+6nUWIsocLH5E2yBcWbHzQXvufULpPnvs/aluBb3OQ0REtCVzrY7Bn1mx65c3RHb2OgsR\nZQYWP6KtCFdWlI4YMvTs48/8yWHP+5JFXuchIiLaFo/Em0YvsxOPKKX4tYuIWPyItiRcWeH3+3zn\nX3/ddcc8HLSH8Ko+IiLKFg6A22INu0gr/gRv7k5ELH5Em5HezOWM3151zbEvF/tHtXMzFyIiyjIt\nroP74uqg5XbiT15nISJvsfgRbV7lj4448tDacSN2WgXH8DoMERFRdyyxE6HZibZzvorUH+l1FiLy\nDosfURfClRUTh5olh+935OEHVOtWntd5iIiIeuK1ZNtQacdvUkoN9ToLEXmDxY9oE+HKiiIAZ/zq\n6qt/+FTQGeJ1HiIiot5wb0xN/MaKP8Dr/YgGJhY/ok7ClRU+AOefc9LJk78MF41rcR2vIxEREfWK\ndrh4Kt68/yo7cZ7XWYio/7H4EX3XSaPLhpXvdOABB3zM+/UREVGO+cKODVpkx3+hlBrmdRYi6l8s\nfkRp4cqK/TRN2/maX/ziiKf8VqnXeYiIiPrCg7Gm8V9bsYe55JNoYGHxIwIQrqwYDODIS84+Z+oc\nM38Mb91ARES5KgYXT8Sb91llJy71OgsR9R8WPxrw0vfrO2vy2LGhYXvuts8CzfJ7nYmIiKgvLbTj\nBQvs+MV1jY0jvc5CRP2DxY8IOFjTtGGXXHzpMU/7LNPrMERERP3h4VjTuKV2/CEu+SQaGFj8aEAL\nV1YMAVB5zQUX7fZmsX9kgks8iYhogEjAxSPx5r1X2ImrvM5CRH2PxY8GrHBlhQ7grN13mpKfv8tO\nuy+B7fM6ExERUX/6xo7nzbdiP69vbBzjdRYi6lssfjSQHe4zjJJzzzvvmOd8yWKvwxAREXnh0XjT\nDtKOP6yU4veFRDmM/4PTgBSurBgBYP/rL79iv5cHGeWW14GIiIg8kgTwcKxpzxV24ldeZyGivsPi\nRwNOuLKXLXYwAAAgAElEQVTCB+DMit33KLImjtt1JWzD60xEREReWuIkgp9bsXNXN0Z29DoLEfUN\nFj8aiI4JBgJFJ51xxsyXjGSh12GIiIgywePxptE1dvIBLvkkyk38H5sGlHBlxTgAe/76yqsqnsvH\ncMfrQERERBnCAvBATO1eYyd+73UWIup9LH40YIQrKwIATp8hJgXiY0dOroXD+xYRERF1UuMkA59Y\nHWesbIjs5HUWIupdLH40kJwIIHjOT3965CuGVeR1GCIiokz0VLx55EoneRdv7E6UW1j8aEAIV1ZM\nArDrqUcfO/bzwfkjeKN2IiKirtkAno4377bGTp7rdRYi6j0sfpTzwpUVIQAnhwKB2L6HVB74oZYM\neZ2JiIgoky2w4/nLncRlSqkCr7MQUe9g8aOB4BQAvqsvurji5TwM9ToMERFRNng41rTTUjt+s9c5\niKh3sPhRTksv8Zw0bsSIQGjihJ3XwOZ/80RERNugwbXxcbLjyNWNDcLrLETUc/wmmHJWuLLCAHA8\ngPZLLrr4iBf8lul1JiIiomzyXKKlfKWduIMbvRBlPxY/ymUHASg87ICKUSvCxWPauaELERHRdrEA\nPJ9o2XOtnTzZ6yxE1DMsfpSTwpUVBQAOMnQ9ftQJx//gbT2Z73UmIiKibPSpFRu00kleq5Ti5mhE\nWYzFj3LVCQDcS885d4+3CoxhjtdpiIiIstQkIxgr1PR2IHs2SBNCfNzVn7fyMT/dzOODhBDX9zDP\n/UKIGiHEET0Zh6gnWPwo54QrK0YCmDpksKmPnDFtDwnb53UmIiKibFOqGbgsr3TR+SHzqp19oX1N\n01zldaY+9rOuHpRStkkp/9iTgaWUZwF4oCdjEPUUvyGmnBKurNAAnAyg/apLLz3y+aAb5qV9RERE\n2y4ADccHi9ZM94VemmAErzZNs83rTL1FCDEfwJsA9gPwlpTyl+nHH0r9Jt5OP/6H9ONnADgTwCAp\n5R7px84EUAlgOoDbAVwM4FAp5UohxKEAfg3ABXCzlPKZLWSZBOC3UsqT0n+vBnC4lDK6hY85E8De\nAARSEzgHSymtzR1XCHEBgNMA2AAekFLem378GwBzAEwF8PIm7/c8ABqA+6SUd2/lvHUe/34p5X3p\nx7f5PFD/YfGjXLMXgPA+u+ya3zSibEflJr3OQ0RElDX2hb/9sHzz3YlG8OdDS0pWeJ2nD5gA/gIg\nAuALAL8EACnlT4QQH0spD+r8YinlgwAe3GS5qAugBsDnAAoBPAFgmhBiNYAbkSpHcQBvCSFellLG\nuwoipfxGCBEWQhQBGAFg6ZZKX6djDwNQKaW0AUAIoXdx3JeklAkAJyJVJps2GScE4FIA7QDeF0L8\nC6nydj6A/dPHmS2EeEVKuW5z562r8TeTZ7PngfoPix/ljHBlRRDA4QA6TjvzzBPvMZKFXmciIiLK\nBjvAsA9td+veevnFOce88doNkarqFT0dUymlmaaZaetu1ksp6wBACBHryTjp39uQKmI+AKUARgJ4\nOf3cYADlSJXEzXkCqX0JxgG4dxuP/ebG0pcW7uK4I9LHPR3AeUKIMIDnpZRz0q/ZIKVsAwAhxKcA\nxiBV9j6RUlrpx+cB2BHAOmz+vHU1fld5tnYeqB+w+FEumQnAd/aJP97xo6JguQXL6zxEREQZrVjT\nMTOuNzQuXPT5ZXfd+UHStvwAjgQguzumUkqPWs6lLnASlDrANE0vZnoMIYQPQADAti7/CQghdCll\nt/aEk1JuEEIsAnC0lLJlGz/syfQvSCm7u4HMBgBdHldKuQbA/xNChJBa2rlb+qlyIUQJgGYAM5Ba\nlmkA2F0I4UeqBO4L4B9bOvBmxt9sHvIWix/lhHBlRRjA7vnBUGL6gQfs/y/NCnqdiYiIKFP5APzQ\n9reW1m5YdvOts96ojUQSSC3/+wTAi90dtzbSeFC75dxYE7V2TbrwTyny/94Erumt3NvhbwBeT//5\nxk6Pu5v5M5C6hu1VIUSNlPLnmzy3tZnLjc9fC+BFIYQLYJ2U8tRNXvdnIcQkKeVNACClbBVCbACw\nYCvjbzaLlNIVQnR5XCHELQCmAShC6nrEjZoA3AxgCoCHpZQq/fq7AFQjdY3fvVLK2i6O+e2fuxp/\nS3nIW5rrZtoMPNH2C1dWXAxgyLUXXrzv/BmTDloNmzvWEhERdWE31xffoyW+7tEHH3z1gy+/iAAo\nALACwOORqurG7oyplBrZnHDuqo3Z+9TG7JKNj+84yLd8ZL5vH9M063snfe4RQjwA4EopZUM/HvPj\njZvV0MDBGT/KeuHKiqkARuUHQ/GynSZNZekjIiL6XyNgOEfEUP/ZO++8f+G/n/oKqRm+JIB7I1XV\n33RnTKVUXmvS+bNKOMesaLfG2JvMJ9RErXGFfn2WCZzU4zeQY4QQewK4AsC7/Vn60jjzMwBxxo+y\nWriywkBqZynjmgsu3HfhbjsdvIrFj4iI6FsF0DAzaajY4mUL/nLbrdWxRMJA6hv/twG8Hamq3u5r\n2pRSWtRyzo1a7iXL2qwpMcfVNvfakXlG3ZgC36FlpSVf9OBtEFEPccaPst0PAOSHAoHk8Ck77fIq\nSx8RERGA9E3eHH90VL1aMeu2216tqV3XASAfqe34n41UVXd0Z9y6hsY9opbz9xVRe1pT0snf2uvX\ndthl4aB+C4CDtvZaIuo7LH6UtcKVFYVI3Wsmfsk55+5TFcIQrzMRERFlgimuL7l/W7L2uScfev3m\nuXNrkbqOrwnAHZGq6rrujKmUGtqcdG6vj9kHrOmwh27rx7kA1nbYM0KRhsPLw6WvdufYRNRzLH6U\nzY4HYIcCAX3E1J12fY2zfURENMANgeEeHdc2yLkfzr3okYe+cF03CMAB8AiA+ZGq6u2+xkcpFWhN\nOr9pTjon1UStcVY3rhLaEHeKhofcG5RSr2Xgvf2IBgQWP8pK4cqKwQAmA+i46Myz96oKaWGvMxER\nEXklBA1HWb5mvWbVohtunTW7JRoFUvewexfAm5Gq6u2+ua1SSmu3nB9Fbfe65W3W1HbbNXqScXW7\nvUueoZ1mAg/3ZBwi6h4WP8pWRwNIBPx+fdSuU6e9AbtHX4yIiIiykQbgANffMbGhddWdd975yqIV\nNW1IXce3CMBTkarqtu6MW9/QOLXNcm9d3W7t1pBwCnsjq0o6+e22e5lS6jHTNO3eGJOIth2LH2Wd\ncGVFMYCdAHRcdMZZe74V0nhtHxERDTg7uj67st1e//oLz7x52+yqlUgVvjYA90Sqqld3Z0yllNmS\ndP6xIW5Xrm63h/f2mswVUWtqnqFdbAJ/7+WhiWgrWPwoGx0NIOE3fNqY6btMf5OzfURENICUaAZm\nxrXIus+//PTie+7+0HacQPqppwF83M3r+Iw2y7m2JemcsbzN2jHZR1fhtVpuIGq5ZymlbjdNM9k3\nRyGirrD4UVYJV1YUITXbF7vorLP2eJuzfURENED4ARxh+1sGrV6/5MZbZ/1nQ5OyAQQBzAPwSqSq\nultFal2k4fB2y/398qi1S5vl+nszc1dWRK2d8n3alSZwY18fi4j+a6u7IAohvi+EeEcIMVsI8Wyn\nx+8XQtQIIY7o24iAEOLjHn78ICHE9V08/tPePlZ39cf57Or9ph/v8vxkqKMBJP2GT9th2q4zlnG2\nj4iIBoC9XV/sbJVc9uottz5wzR9+9/KGJuUHsBbAnyNV1c93p/Q1NDaOralreKOmzXp0fnNyt/4o\nfQAQtV1f1HJPVUoF++N4RJSyxRk/IUQ+gD8BOERK2SaE+PYTgpTyLCHEb/o6YG+QUrYB+GMXT/0M\nwN39HKdL/XQ+u3y/Wzg/GSV9374pAGIXnnHG7tV5+pDUDtVERES5aQwM+7AOt/79N15/56KXXlwM\nIA9ADMAjkarqpd0ZUyk1qDXp/K0h4RyxMmqN9OIr6YqoNbnAp11lZsH3H0S5YmtLPfcB8Fa6GEBK\nudWfJgkhzgBwHlIbTd0npbw7/fgFAE4DYAO4X0p5X/rxQwH8Gqn7e94spXwm/fh1AI4D8BWAQVs5\n5unpfA+n/34wgP2llL9N5zkTwCAp5R6dPuah1G/i7fR7/EP6qYAQ4iYA+6Uf/+VWjv0/+YUQxQCe\nQ2p2qgDAnQCOl1I6QohvAMwBMBXAy52Ou7nxzwJwDICxAO6RUs5KPz4fwJub5tzC67t8v1s4P5v7\nd+zyuP1kJgDLb/i08TOmz5gNi7N9RESUk4o0HTMTekPzV/LLy++6Y04imfQBMAC8DGBOpKp6u/ua\nUkqPWs6FrZb78+VtyclxD3922m67RpvlnqSU+ptpmjHvkhANHFsrfkMAbNjWwYQQYQDnA9gfqSI0\nWwjxipRyHYATARwupWzq9HodqfXd+wGIA3hLCPESgFKkvsnfC6nitGArh14C4PtCiL0ADAYwHMBi\nAJBSPgjgwU2XcEopfyKE+FhKedAmY5UA+AuACIAvAGy22Gwm/8tSymYhxK8A3AogBOASKeXGT68h\nAJcCaAfwvhDibinl+i28t0eklPcLIYIAPgIwK/24uZmcXb5+c++3q/OzlX/HzR23T6Vn+3YGEDvv\ntNNnvJOnD+VsHxER5RoDwA9tf9vQ9ZHlN98667W1GzYkkLqO7zMAL0SqqrtVkmojjQe0285fVkSt\nXZuTbqg3M3fXiqg1eZBPu84EsmIFGVG221rxqwew63aMNxbAJ1JKCwCEEPMATASwDsDpAM5Ll4rn\npZRzAIQBjETqp1dAqrSNTD/+SbostQohtlY+lwA4C8DlSH3O/KrTmNtrvZSyLp1/a59cu8pfDqBG\nSjlXCHEZgKVSys5bKm/YOIMqhPgUwGgAWyp+BwghjkRqe+b8bci5uddvj67+HXdE6t9xe85Pb5oJ\nwDJ0XZu4+4zdqjnbR0REOWaa60vs05qoffzhe15977NP65H64Xc9gCciVdWR7oyplCpvTjh31sbs\n/WpjdmmvBu6hDtvVo5Z7rFLqT6ZpJrzOQ5Trtlb85gG4UQhRnJ7FGtx5xq4LywHsnr4W0AWwL4B/\nAICUcg2A/yeECCG11HE3pGYTFwE4WkrZsnEQIUQLgOnpGbUSpGbwNktK2SCE2BPAMwBWAfgDgJu3\n8t6A1LJOvdNs3PbqMj8ACCH2AdAIYLIQYqyUsib9VLkQogRAM4AZSC0T3ZJ/IDXTNRrASduQaUuv\n39b3u9l/Ry+EKysGIbU0Nn7eKadNey9fH5paMUxERJT9hkN3j4xp9V++++77Fz715ELXdUMALAD3\nR6qqv+7OmEqpUGvS+ZNKOsetiFo72H10e4aeWtVuTR7k0y40gVu8zkKU67a4q6eUsh3AtQBeTF8b\n9pAQYtPr7f4shLgy/foGAHcBqAbwHoCHpJS1ACCEuCU9xhwAt6df73YeXwjxaPrxCIAXAXwI4K8A\ntlQ2N2oD8C8ATwJo2bSIIVVgNvUmgFeFEHdu5nVb/DS5ufzpa/yuR2oG8hIAt6dLLNLv5WakSvWT\nUkq1ybDfns+0OelfVwNo2Iac33m9EELbyvv9nzG29O+4heP2paOQbnoTd58x4xvYvA0JERFlvXxo\nOMnyq30XrZxz7RVX3n3vk09I13UDAKqQ2q1zu0ufUkpbu6HhrPqY/fHCluRly9oyt/QBQJvl+tpt\n9zSl1FZ3mieintFcN4M/G+Sg9HV2e2z9lQR8O9v3KwDxH+y7X/mEs087/T0tmRHXJhAREXWHDuAg\nxx/dYUPTytvuuOPVpWtWtyN1ecYCAE9HqqrbuzNuXUPjjKjl/GNluz1dJZyC3szclwb79Zgo9P1s\nxJDSh73OQpTLOHPS/9i0t8+RSO/ictjMo/Z/iKWPiIiy2GTXlzwwaq1//qlHX//7nPfXIVX4mgDc\nFamqrt3Kh3dJKTWkOencWh+zD1zbYZdl2zcaTUkn1GG7FymlHjFNM9viE2UNFr9+JqXc0+sM2SJc\nWVGA1OZC8THDhuc3m0XDLVhexyIiItpuYeiYGdc3LP/o43kXPvjAZ+nr+FwAjwP4IlJVvd2FRynl\nb0s6NzQnnVOWR63xVhZWpoAO7BDSW/Ni7TvB0g+Hab7idSaiXMXiR5ns29m+c88443tv+t1izpcS\nEVE2CULDkZav2b9izTe/u3XW7Ka2Vgep2zO8B+CNSFV1t36iuW5Dw/FR271+eZs1NWq7Wff9XL6h\n2WNDWntRcyNCL71WqLW2wj322MswciSLH1EfybpPFDQwhCsrggB2AZAM+P16/uiR45XLnTyJiCh7\n7O/4OyapttX/+uc/X1m4bGkLUrdn+AbAU5Gq6tbujFnf0Dgparm3r+6wdo/EnaJeDdwPin1ackwQ\nscK6dXrg328U6olOd3GoqdlFDRsmzKFDpXcJiXIXix9lqgOQ3nX2nB+dtPPckF7KG7YTEVE2GA/D\nPqTdWV/10vOz7/jPGzVIXcfXDuC+SFX1qu6MqZQqbkk6f4/E7R+sarfLs20BTInPtcp12ymqWYrg\nnPcLdaeLr+kLFw7FhAl/wNChP+r/hClCiO8jdastG6lrL08AcB+AAwFcJKXs0xlJbgJIfYnFjzJO\nuLJCA7AngDgATN5jtxnv84btRESU4UxNx8y4Hqn7cuHnl/zrrrm24/gBaACeAzCvm9fxGW2W84vW\npHPWsjZLJLOo8WkAynxOcqiWdIsWzDf8X3we2NI9GzTLgltbu4cqLw+bptmtG9b3hBAiH8CfABwi\npWwTQvjTt+46Swjxm/7OQ9TbWPwoE00GYAJoq9ht96HLCoJDgKTXmYiIiLrkB3CY7W8tWrN+yV9u\nvfU/9aoxCSAE4CMAL0WqqhNbHqFr6yINP2y33D/WRK1dWi030JuZ+5KhAeV+J1Fqxd3iuR/4fcuW\nbfM9+rTPP9/BHTny1zDNS/oy42bsA+AtKWUbAEgpt/jNhxDiDADnIdVx75NS3p1+/AIApyE1a3i/\nlPK+9OOHIjWb6AK4WUr5TPrx6wAcB+ArAJveL5uo17D4USY6GEAbAMw85pjvPaZbeR7nISIi6tIe\nri8+ozm29sH7/vXKx18tbETqOr6VAJ6IVFU3dWfMhsbGMS1J9651MWuvuphj9mrgPhTQgZE+OzE4\n1u4Wv/VWUK+r2+4xtPZ2uA0NlUqpkGmasT6IuSVDAGzYlhcKIcIAzgewP1JFbrYQ4hUp5ToAJwI4\nXErZ1On1OoAbAeyH1Iqmt4QQLwEoBTATwF5I/bezoPfeDtF3sfhRRglXVpgARgOIFhUU+JLhkvIE\nb+FAREQZZhQM5/AOt35e1ZvvXPT8cxKpGb44gEcjVdVLujOmUqqgNen8pSHhHLUyao3Klivb83S4\no/x2sqilCYWz3wzoLS09Gk/77LOJblnZxTDNv/ZSxG1Vj9RtpLbFWACfSCktABBCzAMwEcA6AKcD\nOC9dDp+XUs4BEAYwEsDL6Y8fnP57OD2OA6BVCLFNxZOoO1j8KNMcDiAGAOeefMqM9wNuicd5iIiI\nvjVI03F0wmhsW7R4/hV33PZeIpn0ATAAvAbgvUhV9Xb3NaWUFrWcn7dZ7oXL2pKT4w60Xg/eBwoN\n1x5p2HbhhvUomF0V+M4OnT2gNTYablPTiUqpv/XzDd3nAbhRCFEspWwWQgzuPGu3ieUAdhdC+JGa\n8dsXwD8AQEq5BsD/E0KEAMwBsBtSM4mLABwtpfy2GQshWgBMT88IlgAY3kfvjYjFjzJHuLIigNT1\nfRYAjJk6ZcqbsLPiix8REeU2A8Ahjr9t2PqGmn/cdttrq+rWxwDkAfgcwHORqupuLUtcH2ncL2o7\nf1sRtXZtTrpZcWlDieFa5YblFK5YjtD77wW63KGzh7QlS4Q7fPjeMM25vT74Zkgp24UQ1wJ4UQjh\nAGgTQpwkpYymX/JnIcQkKeVNUsoGIcRdAKqRusbvXillLQAIIW4BMA1AEYDb02O7ncZ2AayTUp4q\npYwIIV4E8CGAhUjtJErUJzTXzaLtoSinhSsrDgJwKICO702bPmT3C3921mw9mRVfBImIKHft4hqJ\n/dqStU89+thr73z8UR1S12KtBvB4pKq6W0vzlFLDm5POHetj9vfWddjhXg3cB/67Q6flFi34Uvd/\n8blvm3ds6QZX1+Eee+xz5tSpx/XhYYgGFM74UUbodAuHDgA45rjjvvcEN3UhIiIPlWmGe1QH6he+\n/8GcC594bIHruiGkdmp8MFJVvbA7Yyqlgq1J549NSef4mqg11s7wn78bGlDucxKldtwtnjfX71u6\ntC/73rc0x4G7YcOuSqki0zR7dtEgEQFg8aPMMQKp3bTaCvPzfdaQkvI4bK8zERHRAJQHDTMtX5Oz\ndMVXv7xt1tvRjg4NQADAWwBmR6qqt/sLlFJKa7ec06KWe9WyqDWlw3b7pUB1V2qHTicxOBZ1i99+\nO6ivX9/vGbT588e6o0ZdDNP8U78fnCgHsfhRpjgEQBQAzv7xydPmBLUSZPhPQYmIKLdoAA50/O3j\nIs2rbr/jjleWrF4VBZCP1Bb7z0SqqqNbHqFrdQ2N06KW849V7faMxoST0fdp67RDp1s4+81gT3fo\n7AmtqUlzm5qOQuqm6kTUQyx+5LlwZUUQwASk79I+ducpU95yrYz+SSgREeWWSfBZB7VZtS8988Sb\ns96tXo1U4WsB8M9IVfW67oyplCptSTq31sftg9a028My+eeZgwzXHuVz7KIN65Ff9Wav7dDZU9qy\nZZNUefleZnn5h15nIcp2LH6UCfZBasO05Jhhw/MbCvJK0h2QiIioT5VCx9FxfcOKTz796ML77/vE\ndd1g+qmnAHwaqare7r6mlPK3Wc6vmpPOqTVt1oRkBjc+03CsEYbjFK5cjtB77/bJDp09smRJMaZO\nvQrl5Sd4HYUo27H4USbYE+l7951y/AnT5/ndIi7zJCKivhSAhiNtX3Nw5drFf7h11puNLS0OUjdh\nnwPg9UhVdbd+ArluQ8PRUdv9zfI2a+eo7Wbk91kagDK/kxwKyy36ar7u/+yzQKYus9Fse+MmLwWm\naXZrqS0RpWTkJyQaOMKVFeUAhgJoA4Ch48eOX+9a3oYiIqKctp/rj01pbFt9z913v/LlksXNSN2e\nYTGAJyNV1d26qC3S0Lhjq+XesabD2mND3Cnu1cC9xNCA4T4nEXbibtHcuX5/P+3Q2VPawoXj3NGj\nz4Jp3uZ1FqJsxuJHXvsBgHYAGF02LE8V5JVymScREfWFcTDsH7S7dW+/8uJbF7/+2jKkruNrB/BA\npKp6RXfGVEoVtSSdmxvi9qGr2u0RGbZQEsB/d+gsjkcx+M23A17s0NkTWkOD7jY3nwCAxY+oB1j8\nyDPhygo/gB2RbnqnHH/CjHkBtwiZ+FWTiIiyVrGm4+i4Hoks+Orzy/75z7lJ2woA0AG8AOCDbl7H\np0ct54qWpHvO8mhyUiIDv3aFdLijfXayqLXJLXyrKqg3N3sdqdu0tWuF2mGHUaZprvY6C1G2YvEj\nL+2M1H2RkgBQNn7c+FqHyzyJiKh3+AAcavtbS9bVL71p1qw31jc2JJG6ju8jAC9Fqqq7tXXlukjD\nwR2We+PyqLVzq/XtZjAZo9CAPdJn24Ub6lDwVlVAj8W8jtRzX389DBMmXAXTvMTrKETZisWPvLQX\n0vfuGzm0LK+pkLt5EhFR79jd9Sd2b+lY+8gD974yd/6XDUgt61wN4PFIVbXqzpgNjY2jW5LunbUx\ne+/1MbukVwP3AtNwrRGG7RSurNFC71Vn3g6dPaB1dMBtafmeUkozTZNbwBF1A4sfeSK9zHMk0k3v\n1ONPmD7X7xZzmScREfXECBjOER1u/cdvzX73wmefXgQgD0ACqcInuzOmUiq/Nenc2Jhwjl4RtUZn\n0pcqDcBQv5ssQ9It+mqB7v/s04zdobOntCVLJrgjRuwP03zX6yxE2YjFj7zynWWewyaMn8BlnkRE\n1F2DoGNm0lDtcsn8q26/7d1YImEg9X3O6wCqI1XV293XlFJa1HJ+1ma5Fy9vs3aKOa7W68G76b87\ndCbconlz/f4lS3K17/3X8uWFmDbtEowYweJH1A0sfuSVPdF5mecgLvMkIqLtpwOodPzREXWNK/5x\n222vrlxf24HUss7PATwXqaru6M646yONe0dt56aVUXt6U9LJ683MPeHXgJF+J2HG21FU9XbAqK31\nOlK/0RwHbkPDzkqpoGmaca/zEGUbFj/qd+llnqOwcTfP446fNi/AZZ5ERLR9doYv+b3WZO3Tjz/4\n2k0fzluPVOFrBHB7pKq6vjtjKqXKmpPOHXUxe/+1HfaQXg3cAyEd7iifnSxqa3aLXn0zq3fo7AlN\nyrHuDjscBdN82ussRNmGxY+8MAWdlnkO33H8hNe4zJOIiLbRUM1wj+pA/TcfzJ134WOPfOG6bgiA\nDeARAAu6eXuGYFvS+W1T0vlRTdQaZ2XI9iGDDNijfLZdGKlDwewc2aGzJ2pr/WhpOQ0Aix/RdmLx\nIy98u5vn8HA41DwonzdtJyKirQpBw1GWr0lbvvLrG26d9XZrezuQ+kHiOwDejFRV29s7plJKa7ec\nk6O2e83yNmtKu+0avRy7W77doXN1jRaqzq0dOntCc124TU1CKeU3TZPfPBBtBxY/6lfpZZ6jsXE3\nz+NOmDbX7xQjQ36ySkREmUcDUOH42yc0tKy68847X/1m5Yo2pHbr/BrA05Gq/8/enYe3ddX543/f\nVZJ3eU8cZ0+UdE26JnRJGkJZ2qbADAPDUGb5zXwZaGEYmBkow74NUAo03ZhC6RQ6QOkUCjRt2iiJ\n1TRtmn1P1CSOkziOF9nXi9Z7zz3n98eVHceWk1iSLTn+vPz0yaPr6+MjYXT1vueczwmE02m3vbPr\nyjDjD5+K2td2mrwom31OhwSgWhVWjWSJ4kP7ZX379ku2QmcmpCNHZoqZM2+H17sm130hZCKh4EfG\n2znTPOt88+a9IkZ9g5YQQsgkMR8KWxGxW1/+/XPrHm7YcBLOOr5eAD8L+QPN6bRpGEZ5r8Uf6kjY\nK0J3SJQAACAASURBVE9F7dpc33s8p0Ln1i2a9vbblPfOp7nZjZ6ev8O0aRT8CBkFCn5kvA2Z5ump\nAGh9HyGEkHNVSApWxaXQqZ27tn3mF09usznXk996DsD2NNfxqWHG7++1+D2NYTbPynHim8wVOjMh\ncQ7R3b3QMAzF6/XS3WNCLhIFPzJuBlXzZADw0Q/+xdVbNNA0T0IIIQN0SHifrfYWnGx5+zsPr17X\n2dNjA3ABeBPASyF/IK11XS2hzruiTHy9McKuDDOhZbXTo+SWgXrVNkvCPSh5aZ0+WSt0ZkI6dmyW\nmD37VgAbc90XQiYKCn5kPF0G5+LNAGDavHlzXxU02kcIIcSxlGvxK7sjzU/9/NE1O4OHuwEUAmgC\n8GzIH0grHXV0ds0JM/HY6Ri7oT3By7LZ39GiCp1Z1NZWIMLhL4OCHyEXjYIfGU8D0zwVWZasQk+Z\nU32bEELIZDYTiv2emGgLvLRm46dfevEonMItMQC/CvkDx9Jp0zCM4l6LP9hp8veejLBpuayJebZC\nZ5PkDjRQhc40ieJi8IULw1ZtHe8p8spWQfF0yTAkr9dLc4cIuQgU/Mi4qFy5TIVTzZMBwLJrrqs+\n5pKLKfgRQsjkVSrJWJWQO40Dh3d/9vHHNls20wAoAF4E8Hqa6/jkCOOf6WPiE8fC1gIzRxlLAlCl\nCqtWskTxoQOyvn0bVegcJQFAVFQIfvnlEbOyhnd4vMpb8bKiTksFwsB8YVXVehJXANiX674SMhFQ\n8CPj5ZxpnstuW37lOsl20fo+QgiZfFQA77a1cOWZ0LEHH35o7ZlQyATgBrAdwJ9C/kBitG36fL5b\nioqKnrj5thWld33y8+W9TLjOdz6zTDz4z/fg1g9+BEvv+AB2rF+LN178PabN9eED934e//fQ9/AX\nn/kCJEkaVT9kAFM0blYJEyXb3lK0YDAv9gWcKIQkgU+Zws35PpYoKxfNrkp5Z8JbFGEy0HfuuU0x\ntfQK0/pEBXBfbnpLyMRCwY+MlyVITvMEgKKa6toeQVNdCCFksrlGqIkbehNnfv3Lp9Zs3r0rBGcd\nXxuA34T8ga502jQMY9r9X/vm93uYqNt38GBxL7vwXcW3Xv4T6ubMB5LBbt/mBvzDNx7A09/8Ig5u\neR0Lrn/HqEJff4XOskQUpVShc1SEqoJNn86s2XPteIkXR7QqZW+sSGdcdib8jsDkEvqYtHj8ekrI\nxEbBj4y5ypXLFDjVPG0A0BRVsgoLymgbB0IImTymQuF3xtG+s6Hh9Xuf+90BOCN8FoAnQ/7A4XTa\nNAzD02fx7xom/4D3ultnhPbtvqifMxNxHNm9HVfetBxm3EkWN75nFZ7+5hcx/9obcWDLJnzos/df\nVFtOhU5ulkZ6ULzWr8uGkc5TmXSE2w1r9mzLqp/BI8Ve7FdqtGDMpYLJo/p4EDKVWYZh1Hq93tax\n6y0hlwYKfmQ81MHZcLcPAN61ZOmUI7pcktsuEUIIGQ8FkLDKUg3zyLH9X3jkkUA0EZfhfP5YB2Bj\nyB8Y9fQPwzCkCOP/EGHis8fC7LI4F6NaPvfGn5/H0js+gHD32ZC28IZ3YOEN78D+NwKYOnveBdso\nksGnaTYr6WxHoX8dVei8CKKkBOb8+aZZXSt6Csul3XKtfiqmAmb6bR6LqFPmFlof9wI/yF5PCbk0\nUfAj4+E6ANH+BzfdestVf4aV0z2UCCGEjC0ZwDu5Fq1vN46vfuSRl46faYnBqda5B8AfQv5A9Pwt\npNYW6rouYvOfnIjYiw2LF4z25+ORMJoO7sPyv/wb7Fj/8jnf45zj0NY3MN13GZ5f/QNc8873YNbl\nV51zTll/hc7mE5KnYSNV6DyP/uIspm+BZVZUiY6CcnkHq9I7LQUY9SrO1HqZjKgtLwcFP0IuiIIf\nGQ8D0zwBwF1ZUR2hqi6EEHLJukwo1q1hduaFZ3/1yo/efKMFzjq+bgCPhfyBtnTaNAyjqsfij7bH\n7WWnY3Z1yquIuPC1penQfjDLxG8e+CaMtjPg3MbsKxejZvpM7N20EVfefBsafvcM/var/4Xf/fi7\nmHX5VQMVOmskS5QcPijr27ZShc4RCEkCnzqVm/Pms0RZhWh2Vco7EmV69ALr9TIRZtJMwzBkr9dL\nKZyQ86DgR8ZUchuHajjrOFDgciuJAk8pre8jhJBLTxUUrEqg/ciWbW/d96undwohXAA4gGcA7E1z\newY9zPjXuk3+keMRNnukui2B53+N4I63EDa6kIhG8YF7Pw8A2Pd6AzSXCwuuXwoAWHDdEiy4bgkA\nYMf6tTATcdRMnwlu2zi6exv+8l++iANvvoaf/ee/4qa7/gJ1GjcrhYnS7VsV7fBhqtCZwuDiLLFS\nL46q1ereWOEFi7Nky+m4Uje/iF0F4OIWeRIySUniIu6OEZKuypXLZgP4FIAwAHzgnStnFH/0Lz+2\nCybddCCEkEuEGxLuZGqP2nTq8PdXP+TvjUQAZz++1wCsC/kDad3tO93R+VcRW3ypMcwuj9pi3K4b\nmgTUadz0mlGUbgroyunT4/WrJwzh8SSLs0znkaJy7FeqtWDMJTuTfMeXWxZ4X03swfm1pf827r+c\nkAmEPnyTsXbO+r4bli694vew6O8uD/BIFF1ff2DgsXWkEVNeeBqJnXvR98z/AQCK7/kruBZfcd52\nIi+uQ3RdAyS3G2Wf+UeodVMQfbUBkRdehjZ/Dso++/9g/PAxlH3+k6PeD4sQkt8kALdwLTa/q+/U\nTx9//MVDTcfDcNbxHQbwu5A/EE6n3Y7OrsvCTDxyKsquDZl83IqBuWSgXrXNskgvVehM4Wxxlimi\np8gr7UKt3hzPrDhLNsS5hKgtLcptLwjJf/QBnIy1OjjTfAAAWrm3Kk7r+/KCXFiAyge+BgCwGk8g\n8seXIYRA7y+fQ+X3vwIA6Lz/O9AXXT5iYOPxBKKvNqBq9Xdg9/SiZ/XPUf6VzyG2aQsqvvdldH75\ne4i9sQ3uJddS6CPkEjNPqPbKqN36yh+f9z+63t8Ep3pzGMDPQ/7AqXTaNAyjrNfiD4US9rtORu0p\n43W1KJIFn6Zxp0Lner8ux8ZhfuIEIACIykphzvdZiYoqEfJUSNvtSr3LUoA8K2Lax+SZhmG4vF5v\nlsrGEHLpoeBHxkzlymU6gCok7wUWFxSo8QJPaXK5H8kjkRdeRuH73wu7+QzUaVMguXQAgDK1BnZL\nK9S6Kal/UAiAMQjTglxUCG50QzCGwvetROeXvwf39YsQ37wV3n+/dxyfDSFkLHklBXcnpFDLrj07\nPv3zn71lc95fpfl5AFvTXMenhBn/Qq/F/7YxzOZb45T4yhTB6lSbFzeflDyBBl1mtP58aHGWU3ql\nvMMs02NczruwN9jJmDJtXqF1M4D1ue4LIfmKgh8ZS7MB6EgGvzuWLZ9+UEcxDfjlF97bB7ujE9rs\nGTAPvg25sAA9j/8PAGdUkPf2ASMEP9njRtFffwCd//ldyAUe8L4IeDgK99Lr4F56HWKbtkCbO2sc\nnw0hZKxoAN5na33Fza1vf2/16lc7ug0bgAvAWwDWhPyBtCb8tYS63htl/FuNEXZlmAk9m31OxanQ\nya0aiYmS4EFZ30oVOoWqgs2Y4RRnKS7DEa1a3ddfnCWPw95gZ+KKq4fJH62l4EfIiCj4kbG0GIPW\n911zw41XPCsYVUTLM5E1fhS8750AALmkCDwSRdmn/xFCCPQ8/HPIJedfXuO5ZQk8tzgV8jo+9QUo\nZc75gnPEt+yAvnAeuh98HJ7bl8N15cKxfTKEkDFxo9Dii7qjp5968qdrdhw6aMDZnuEkgN+G/IHu\ndNrs7Oqa1WuJx1ti7Ma2BC/LaodTkAFM6a/QuWO7oh06OKmvR8LjgTVnjmVOm84jRV7sV6q1t2Mu\nFUyekIW3mZAQZpIv1/0gJJ9R8CNj6Zz1fXJZSYVJw315Rdg24m/tROWHvwEAUKbUgjWfGfg+O90K\nta72otqKb90Jdc6MgcexwBvwLFuKvl//ARXf+gKMHzxCwY+QCWY6FP7emGjb/MrLDff9+U9vwync\nkgDwTMgfOJpOm4ZhFPVZ/IFOk995IsKmjfXGa2crdMZE6YYG12Su0ClKS2HOm2+a1bWip6hc2oka\n/XQeFGfJlh5LrjcMo9Tr9fbkui+E5CMKfmRMVK5c5gZQAecDAipKS/VIgZvW9+WZ+OZk4RXZmegk\nKTKKP/aX6PzitwAAxfd86JzzY6+9CcnlgvvGawaOdT/4OFhzCySPG2Vf+DQAQNgciR174f23TyH+\n+laE/uObKHr/e8fpWRFCMlUsybjblLt6Dgb3fO7xx143LUuFsz3DGgCvh/yBUec1wzDkCOP39jHx\nycawtTAxxonPJQH1um2WRnpR8sp6Xe7qGttfmIcGirP4FliJ8krR7qmQdrBK3WD5V5wlG5qiat28\nIvZeL/DbXPeFkHxE+/iRMVG5ctkVAP4Oyf37Pvq+O+fwD9350QPcnOxLKQghJG8pAG63tXBNa2fj\njx95eG1ze1sCgBvADgB/DPkDacWFM6GuW6I2f6Apwq7usYQ7m30eqlAWvF7jrKSrA4X+dZOuQqeQ\n5bPFWUrLxUlXpbwzUabF+KV/+ZUgcHdt7H8XTCn9WK77Qkg+ohE/MlYWA4j0P1h45RVz1nDr0r/q\nEELIBLVIqOaSPrPlt7/6+cubdu5oh7OOrwPAb0L+QCidNg3DmNpj8cdaY/ZNLXG7MqsdHqJMEXad\nYtvFp4dX6PyvrVtxsrcXHMBXlyxBXVHRiO3sam/HQzt34pqaGnxm8WIAwIuNjfhdMIiFFRW4/4Yb\n8M0tW/CVG2/Mm21qhKaBzZjJrFmz7ViJV3pbrVb2xQp0m8vAJMq9AhIitlSf634Qkq8o+JGxMgU4\nu6CvoNxbHqH1fYQQknemQBZ3xaX23a9t2nzf7367TwjhgVPe46mQP3AwnTYNw3D3Wfzb3Rb/i+MR\nNtMeo7f/cyt0Hpb1rVtSVui8/4YbAADbWlvxq4MH8cXk41QszvG3l1+OfaGzWXf9yZNYvWIFPtfQ\ngEBzM26pq8t56BMeD6y5cy2zrp5HirzSXrlaOxp3qbDkSb2qImrLdYZhaF6vdxK/CoSkRsGPZF3l\nymUFcNb3DdxntD3ukW+vEkIIGXcFkLCKqd3Wkcb9X3j44YZoIi7B2bXBD2BDyB+wR9umYRhSlPGP\nh5n4fGOEXR6zxZjM9EhW6LQqhSlGU6GzUNOgyefv0g21tdjZ1nbOsQ/OnYvPNTRg6dSpaDh1Cl9b\nujTtvmdClJbCnO8UZ+kucIqztCQuneIs2dASV2ovK7augjM9mRAyCAU/MhZ8cK7LAIACl1sxdb1w\nUt+CJISQPCEDuI1r0Rkd3ScefeyxNUebT0XhVOvcD+D/Qv5A9PwtpNbW2XVNhPGfnIza13SZvDCb\nfe43UKHTiqF0Y0BTmptHNez2p2PH8BHf6Cv+3zJtGm6ZNg0bTp6Ez+sd9c+nSwAQVVWDirOUS9ut\nSr2bKcnSaWSotoRcaFjy3RUU/AgZhoIfGQtXYdD6vqVXXVV5UpMKctgfQgghABYK1VoeYa1/fO7X\nr/zk9U2nARQA6AHw05A/cOYCP56SYRiVPRZ/pCNuL2+O2TVjMavTJQH1mm2WRvtQ8oo/rQqdm5qb\nMaOkBDNLS9PqAxcCm06fxhWVlfjWli24c/ZsLK6uTqut83GKs9Rxc948Fi+tECddlcrORKken2Tr\n9dIVtWXEbGlRrvtBSD6i4EfGQsXgB4sWL565T+Y6xnqzJkIIISlVQsaqhNzRuHXblnuf/p+dQgg3\nnH1WfwtgV8gfGHVeMwxDCzP+lR6T/3VjhM1lY5D4khU6reKukFS0fp0uR9MajMShri7sbG/Hv1xz\nzYVPBlKuSF934gRWTp+Opw4cwI+WL8fX33gja8FPaBrsGTOZOXu2HS32Sm+r1er+SVicJVuitjQt\n130gJB9R8CNZVblymQygHE5hAADA1OnT69ZxNvIPEUIIGRMuSLiTqT3aiebgN1av9neH+zgAF4BN\nAF4J+QNpvTmf7uj8YNQWX2kMsysitsj6Z4lSRdjTFNsubjkleRo2ugZX6EzH/Zs2oaawEJ/0+zGn\nrAz/dt11AAD/yZNwKwpurqsbOPfpgwfxZksLOuNxRCwL999wA2zO8VZrK766ZAk2NjfjU+vX48Pz\n52fUp2RxFtOsqxdOcZYa7Whcn/TFWbKhx5JrDMOo9Hq9aVWjJeRSRfv4kayqXLmsAsD9SO7fBwAP\nPPjg3/6yTJuZs04RQsgkdLPQYgu7wqee+O//XrP/2NFeONszHAbwu5A/0JdOm+2dXQsiTDzSHGPX\ndyR4STb7KwGoVLlVK9uiJHhI1t/aol5qewCJ0lKYvgWmWVUjugu90k6RLM5CsqrGZdvvqop/eFpV\n2fO57gsh+YTebUi2zcSgWTKSJIF73IXAqIvDEUIIScMcKPa7orxtw5//6H/81bXH4azji8LZnuFE\nOm0ahlHaa/GfhBL27Sej9tRs3jI+W6HTEqU7tyvawQMXVaFzIhAARHW1MH0+K+GtFO3uCnk7q3CK\ns8Rz3btLV8iUlYgt3QGAgh8hg1DwI9k2F84HDACAb/qM4k5NLqDgRwghY6tMkrEqIYfa9+zf9Zkn\nfvqmzbkOZyDtDwC2pLmOTwkz/vk+i/9DY4T5zCyu1VaTFTrLrZgobXhNV06dyo/d0DMkZBm8ro6b\nc+exeFmFOKFXKrv6i7NQ2BsXtpAQtaWZue4HIfmGgh/JtgoMGvFbsmjxlEYFBbR3OyGEjA0VwHtt\nra/sdNvRB1avfqXd6LIAuAFsBfDnkD+Q1i5vZ0Jd74ow/t3jEXZlHxOubPXXJQH1um2WRvpQ8up6\nXe7szFbTOSM0DfbMmcycOduOlniloFqtHogV6LZNxVlyJWZLUw3DkLxeL30CISSJgh/JtvLBD+Zd\ndtnsFwS7JO7iEkJIvrleqInFPbHTv/zFE2u2HdjfBaAIwAkAz4b8ASOdNju7umb0WuLxM3G2pDXO\ns7ZpXaEs+DSVsxIjhEwqdOYLUVAAa+4806yrE+HCcmmvXK0do+IseaPTlMsBTIfz/wdCCCj4kSyq\nXLnMA6AYg+5vuspKvXEa7iOEkKyqh8LfFxPtW/z+wKdf+P1hOCN8CQC/DvkDb6fTpmEYhX0W/0GX\nye9qirD6bM3qLFWEPU217eLTzZKnYYOeaYXOXBJlZTDn+8xEVY3oLiyXdohqvTWhAmmNqZKx1JFQ\nKqNMutZLwY+QART8SDbVYsjfFPe4CnPUF0IIueQUSTJWmXJX5NCRvZ977JFNpmUpABQAawG8FvIH\nRp3XDMOQIoz/c5iJ+46FrYUJjqzM0qhUhTVFYrz4yCHFtWWLPhErdJ4tzrLASngrRJu7Qt7OKvUe\nRuv18p1hyVLElm4D8Ptc94WQfEHBj2STD4MuhcUFBWrcpRfSnBdCCMmMDOBdthaZ0tbZ+NAjj7x8\nsq01DsADYBeAP4T8gbRiyJlQ1zuiNv/hiQhb1G0JTzb6Watxq0pYomTXdkU/cEDLtM3xJmQZfNo0\n25w7z46XlosmvVLZTcVZJhxLSEhwaUau+0FIPqHgR7KpDoNS3k1XLao6oUo04kcIIRm4SqjWO/rM\nlud+/dTLDdu2tsHZj68TwG9C/kBHOm0ahlHbY/HHWuP2zS0xuyrTPp5ToTOwSVdOnpxQa7uFroPN\nnGlZM2fzaHGZdDhZnIVTcZYJLWZL1bnuAyH5hIIfyaZzigBcvXjxrO2SrdESP0IIGb0aSRGrYmjf\nv3nzG/f95td7hRBuAAzA0yF/YH86bRqG4eqz+De7Lf6h4xE2y87w/dklA/WqbZbGwih51T+hKnSK\nggJY8+ZZ5pRpPFzklfYoNVpjTJOoOMulI8GlKsMwNK/XS/+LEgIKfiRLKlcuk+EEv4E315ppdVPb\nBe3fRwgho+GBhLuY2o1jJw7e//BDGyKxmARAA7ARgD/kD4z6jdUwDCnK+N9EmPj3YxF2ecwWGW2S\nXiALXq9yq6S7Uypav06XI5FMmhs3Q4uzbBfVehsVZ7lkdTiVPecCOJTrvhCSDyj4kWypAODCoOBn\n65o7d90hhJCJRQJwG9dis0I9Jx57/PE1b588EQFQAGAfgOdD/kBa6aqts2tRhPGHTkbta7pMXpRJ\nH0sUYdertl3U0oyCjRtc+V6hc1BxFjPhrUSrp1zeYVFxlskilJDLei1piZeCHyEAKPiR7JkF4Jxq\nclzXsrbhLyGEXMp8UNiKiN364vPPvvpQoOEUnMDXC+C/Q/5ASzptGoZR3mvxh9sT9ormqF2byazO\nZIVOUXw0KLnefCOvK3QKRYE9bZptzplnJ0q94rirUtkdL3UlOK3Xm2y6LRlxLt0M4Klc94WQfEDB\nj2TLXAy5pApNdQ3JgoQQQgYph4y7E3LHie07t9771JPbhRD9N8x+B2BHyB8YdV4zDEMNM/6fPRb/\n2PEwm2ulmficCp3CrBImSnbvUPT9+zOaHjqWhK6DzZplWTNm8WixVzqsVisHYh6nOMvE3ieeZIBD\nQtyWpua6H4TkCwp+JFsqgLNlXMqKirW4olDwI4SQFHRIuMNWez0nWoLffvihdV29vRzOdPk3Abwc\n8gfSKkZxuqPz7qgtvtYYZldGbJHWNV6VgDqVm+UsLkoDr+VthU5RWAhz3jzLqq3jfcVeabdUozXF\nqTgLOVecSxlXrR0tn8+3AsBXAdgAeoLB4AeTx58CsBzAfcFgcM0Y92FbMBi8PoOfLwLw2WAw+O0h\nx/8pGAz+LJu/ayyk6me+Od/fw0iv/3naeg+A7wI4GQwG3z/SeRT8SLacU9FzwcyZJR0y9Fx1hhBC\n8tVNQotfbkRO/fyJh9fsOfJ2D5ztGd4G8GzIH+hNp81QZ9e8PiYea46x6zsSvDSdNlwyME3lZlms\nT5T4N7jkjrR2ihhTvKwMls9nJiprhFFYLu3g1XqbqQKJXPeM5Ku4LVUYhuHyer3j8lfi8/kKAHwH\nwLuCwWDY5/MN7GUZDAb/3ufzfW08+pGpYDAYBpAqdPw/AHkdqJLyvp/n+3s4z+s/krsBfCIYDG47\n30kU/EjGKlcuc8H54DIw1XP2tPrSkCq5aMCPEEIcs6DY747ytoaX/rzh0y+/dAzOBuxRONszHE+n\nTcMwSnot/mBnwn7vyahdl85b7kCFzp5OqcifXxU6BQBRU8NN3wIrUVaBM+4KeQer0HupOAu5SF2W\nXApgBpybK+NhKYANyQ/uCAaDFxx/9vl8fwvgE3BqPP2if6TK5/N9CsDH4IwcPhUMBn+RPP4eOCOK\nAsCPgsHg88nj9wP4IIADAM5byMnn892T7N+vko/fCeCWYDD49WR//g5A0eCRPJ/P90vnH9/G5HP8\nVvJbus/nexDATcnjXzrP7/07ACsBLAbwKIBPA3hPMBg8cZ7XYS+AdUPbP8/rkLKfPp/v7wG8H05d\nip8Hg8HVg/q0BIAv+btXwlnC9PVgMPiR5DkBAO8LBoMjvkEOaUcG8M5gMMhG6ud52hnp9R/p+f4e\nzt/dtT6f71gwGPzrkdqm4EeyoRRD/pbqZsyo2SXsvJweRAgh46lUknF3Qu4M7Tu467P//dM3LJvp\ncD4U/AnAG2mu45MjjP9rryX+sTFiLTDTSHwlirCnqdwuPtMsFWzc4JKt/JgfOVCcZe48ligtx3Gt\nStmdKHaKs1DYI6PUbcllcRsLMH7BrwrARQ+X+3y+SgD/DOAWOB/o1/t8vjXBYLAFwIfghI3uQefL\nAL4HJwQlAGzw+Xx/hrPkZhWAG+HcjN93gV99BMAKn893I4AyAFOQfI2CweDTAJ72+XznjB4Fg8GP\nJ6d13jakrXIAPwAQArAbwIjBL/kcjwPYBaAYwG8BLPL5fJHzvA7eoe2P8Dq8GAwGE+fp5zPBYPAp\nn8/nArAVwOpBfaoFsDIYDPZvl3PY5/NV+ny+EgB1AI6eL/SN1M75+jlSI6le/ws83w8mp40+EAwG\nD56vgxT8SDZ44dwhGVBVXV3RSXv4EUImMRXAe2ytr7yl/diDq1evbe3qtAC4AWwD8OeQP5DW1LMz\noa4VEca/1xRhV/UyMerqyZWqYFNkxouPBOV8qdDZX5zFnDGLx4q90iG1WjkY87g4k50t6wlJU68l\nSWFbvh7OjZbx0A7g6lGcPwvA9mAwyADA5/NtATAfQAuAewB8IhkOXwgGg5sBVAKYBuDF5M+XJR9X\nJtvhAPp8Pt+FwucRAH8P4F8BKHBGCV8870+MrDUYDLYl+38xt2dak/+G4QQlFalfh3lwXodU7ad6\nHabCCZUjudXn892Z/L0FQ763blDo6/dbAH8JYDaAJy/ieaVqJ51+pnIx7VxwwIWCH8mGqRiywkL2\nuD10rSaETFbXCjVxXU+85X+ffnLNm3v3dML5kHEKwG9C/oCRTpuGYdT3mPzxlri9tDVul4/mZ2UA\nNZowq4WJkj07FX3fvpyvwR4ozjKljvcVeqXdMhVnIdkX4xIYx9xx/JVbAHzP5/OVBoPBHp/PVzZ4\nxC6FRgDXJdcCCgDvAPAQAASDwWYA3/f5fG4AmwFcC2c08RCAu4PB4MCaYJ/P1wtgcXJkqBzOCN6I\ngsFgp8/nuwHA8wBOAvgWgB9dxPPTfT6fnAyY2TTi6zCClK/DBfr5EIArAUwH8JGL6NOzyf8QDAa/\nfBHnp9PPcW2Hgh/JhmoA5uADgjZvJ4RMQnVQ+B1xtG/fsPG1+55/7hCcdXwWgCdD/kAwnTYNwyjo\ns/j3uky+6kSUzbBHMTF0UIVOlL62SVNOnMjZFHwBQHi9MH0+06ysFkZBubSdV+vtpjrkCkJINklI\ncGlUN0oyEQwGoz6f74sA/uTz+fpH3z7av+Yv6b98Pt+CYDD4YDKA/RRAAM6IzZPBYPAMAPh8vh8D\nWASgBM56OASDQTGofQGgJRgM/k0wGAz5fL4/AXgLwH4A5wub/cIAngDQA+DfUwSKVO826wC8+Ebm\nFQAAIABJREFU5PP5jgeDwU+mOC+dDWTE+V6HVO2P9DpcoJ+bk//tAtA5tA9DOxUMBvtHTi80bXbE\ndi6in8Cgv4eR2rrIdi742ktCZLKlKyFA5cpl/whn+HnA9x966B+fKZLqctQlQggZV4WQsMpSjVjw\n6L4HHn04EDdNBc5FeAOAhpA/MOq744ZhSBHG/ynMxGcaw+yyOBcXHdqSFToTZbEwShrW56xCpwAg\namu5Od9nJbwVOOOulLdb5Vofy4cJpmSyWFEZ33pDffGNue4HmXh8Pt//APh8MBgcGhQnJBrxI9kw\ndJ40hK66nCJUhBBy6ZIBrORapK6t6/hDjzzy8onWMzE4o3x7APw+5A/Ezt9Caq2hrhujNv9RU8Re\n1G3xYe+xIzlbobNLKlq/ziWHwxf+oSwTigK7vt4258xl8ZJyHNed4iwmlwfVfiZk/FgCaW1xQiav\n5DTYzwF47VIJfQAFP5IdhYMfVJSW6lFZ1in4EUIuZVdAtW7ps848/9un1z64ZcsZODfBuuCs42tP\np03DMGp6LP5oW9y+9XTMvuiNp0sUYU9TbLu4tQUFG9ePe4VOoetgs2db5oyZPFrsxUGlRj0cc7u4\nTWGP5F6UyUWGYZR5vd6Lmf5ICILB4FZc3DrACYWCH8lI5cplEpzgN1DLZeHMWSXtCm3eTgi5NFVL\nilgVlzoOv7HlzXv/91e7hRBuOHe6ngGwL83tGfSwxb/RbfG/Oh5hs9lFtlChCjZVZrz42Nuya/Pm\nca3QKYqKnOIstVN5X2G5tEuu0U/EVcCkaZwkv3RbUv9efhT8yKRGwY9kyg1Ax6DgN3NafVmnIrlp\n83ZCyKXEDQl3MbVbajxx6MsPr97QF40CgAtOMYJXQ/7AqKc5GIYhRRn/cMQWX2wMsyuitlAu9DO5\nqtB5tjjLgoRZWY2ugnJpO6/SO6g4C8lzPUwuijBpgdeZgk3IpEXBj2SqBM7+LwPqZkyv3kZ7+BFC\nLhESgGVCi80N9Z58/PHH1xw+0dS/B9RBAM+F/IG0FtK1d3ZdEWbi4VNRdm2nyYsvdL4qAVM1blaw\nOEo3bdaUpuNjXqFTSBJETQ035/useH9xFrPcFbZpM3UycYSZjJgtXY1kaX5CJisKfiRTFcMOVFVV\ndFHwI4RcAuZBYe+M2K1r//Dcuoc3bjgJJ/D1AvhZyB9oTqdNwzC8vRZ/qCNhv+tU1K690KzOgQqd\n8TBK/GNfoTNZnIWZc+ba8ZJyNOpVyp54scsUtF6PTExxDvAh1ccJmYwo+JFMTcGQzdsll8tDsY8Q\nMpGVSwpWxaWO07t2b//Mkz/fZnPeP53y/wBsS3Mdnxpm/Iu9Fv94Y5jNsy7QQoEsRL3GrZKeLhT5\nx7ZCp3C5wGb1F2cpo+Is5BIjweRS4YXPI+TSRsGPZKoazubEA4SmuXLUF0IIyYgOCe+z1d7CU2eO\nfHf1Q6929vTYcNbxvQngpZA/kFa5zJZQ551RJr7RGGFXhpnQznfuQIXOthYUbFivj1WFzv7iLGbt\nVN5XVI5dqHGdTFBxFnJpYgIU/MikR8GPZKoQzpr/sxT5gsUJCCEk3ywRavwqI9r8iycfe2nX4UMG\nnPe3JgDPhvyBnnTa7OjsmhNm4rHTMXZDe4KXne/cgQqdjUdk1+uvZ71CpwAgysth+nymWVEtzinO\nkrjgjxMyoTFBI36EUPAjmSoaeoDLEt0uJoRMGDOh2O+OivZNr7y88dMv/vkInA3Y4wB+FfIHjqXT\npmEYxb0Wf6DT5HecjLBpIxU5lgDUatysEhZK9uxStH17sxr4hCRB1NbyxLz5VsJbiRZXhbzDKtep\nOEtqmx77T/ScaYKi6Zi77P2Yt+zuEc+NdLbitUfvh7BtVM69Ejfc8+84EvgjDq39X1TMvhw3/dPX\nsOnxL+Pmf/4WJGnM6/CQC7AFCnLdB0JyjYIfydTwN1KZRvwIIfmvRJJxd0LuNA4c3v2vjz+22bKZ\nBqdK8YsAXk9zHZ8cYfzTfUx84ljYWmiOkPj6K3SWs7go27RZz2aFTqEosKdPZ9acuXasxItjWrW6\nN17kFGehsHd+koTl//JDFFVOueCp2575Ia758GdQ41s8cKxpyyu4/UtPwP/9T+HE9g2ov3YZhb48\nYdNUT0Io+JH0Ddq8/dw1frKsDJ39SQgh+UIFcLuthavOhI79+JHVa093dJhw9iTdDuBPIX8grYmP\nZ0Jdy6KM/+B4hF3Vy4Q71Tm6DNSr3CyNh0Xp+g0uub09/ScyiHC5YM2ZY1n1M3i0qAwH1Bo1GHO7\nOJMH7bJKLoq48PWLcxt9bafOCX0A4Fv5V/B//1OoW3QzTm5dj1s+9Z2x6iUZJZNLHsMwXF6vlyY2\nk0mLgh/JhAeAhiHBzxnxo7qehJD8s1io5o29iZZf//Kplzbv3tUB5+ZVG4DfhPyBrnTaNAyjrsfi\nj5+J2e84E7eHbXEDAB5ZiOkaN4t7DBT7X81KhU5RVARr/nwzUTtV9BWWSztRrZ9KqIAlD31XJhdJ\n8xQg8PB/wFVUihs+/gWU1E5PeV681wCzTKz/4WdgxsK47N0fxYwbVmL6tcsx/drlaHprHSpmLhzn\n3pPziTDJA6AKQFrbsBByKaDgRzLhATBsOYqg4EcIyTNTIIs741LbrobA6/c+9+wBOCN8FoBfhPyB\nQ+m0aRiGp8/i3zUs/oGmCJthpxgoKpaFXa/adnHbGRRsXO+STTPt53C2OMsC06yoEp0F5dI2XqV3\nUnGWrFnyd18CAHQ2Hca2//0h3vn51SnPcxeVQi8owm2f+zEE53jpqx9D3aKboepuCM5xakcDquZd\nhdd/+hXMXfZ+1C68djyfBkkhYsuFcCqRU/AjkxYFP5IJHU5tgrMHNE3mEhV3IYTkhwJIuNtSjcSR\nY/u/+MgjgWgiLsOZqeAHsCHkD4xUd2VEhmFIEcb/IcLEZ4+F2WVxLoa9552t0HlUcr2xWZf5qH8N\nAKc4C6+t5eZ8H0uUVYjTrgp5JxVnGXOKpkNWRt51Q1Y1FFbUItYdQmF5DWRNH/je8TfXYubSd2Pv\nH57Ayv94FJse+xIFvzwQtaWChI2pAHbmui+E5AoFP5IJDUNG/MqKirW4JGglOyEkp2QAK7gWnd7R\n3fTwo4+81Hj6dBTOLIW9AH4f8gei6bTbGuq6Nmrzh05E7EWGxc8pFiEBqFG5WSNZKN67R9H27E6r\nQqdQFNgzZjBr9hw7VuKVjmrV8p5Ykc6oOMuYa3jo3xDtDkFzF2DpP3x54PjxLa9A1d2ov2bZwLHr\nPvo5bH7i67CifZi55N1QdTc4t3F67xu45ZPfxomtfqz99v+Hy97zN7l4KmSImC0hakuzc90PQnJJ\nEhexiJmQVCpXLpsP4JMABva3mj99RtGqL3/xn19RLKqeRQjJicuEai2LsNY/PPvs2nVvbG6BU334\nDJx1fK3ptGkYRlWPxR9pj9vLT8fs6sFXTkUC6vordL65WVeOj75Cp3C7Yc2ebVn1M3ikyIv9ao0W\njLnkFLPpCSFp0CWBu2pjP5pXW/r5XPeFkFyhET+SCQ+GLOYrKyrS4xJ9UiGEjL9KyFiVkDuObtm6\n5d5fPb1TCOEGwAH8GsCeNLdn0MOMf63b5B8+HmFz2KAWdBmYpvJEWTyM0g0bXXJb26jaFsXFMOfN\nN83aKaK30CvtRI3enNCdlYdUnIWQrLIEIABvrvtBSC5R8COZKMCQ4FdcWKjFZdA+foSQceOChDuZ\n2qM1NR/+2uqf+HsjEecw8BqAV0P+QFobGpzu6PxQ1BZfOhZmV0RtMXC99EhC1OvcKukxRPH6dS65\nr++i2hMAREWFMH0+yyyvFqGCcmm7Xal3WlSchZCxJiCBC+gXPpOQSxcFP5KJ4cGvoFBPSJJK2/gR\nQsaaBOAWrsXmd/WdeuKnP11z4HhjH5z3pUMAfhfyB9LaM6Gjs2thmIlHT0XZtSGTl/QfH6jQ2X4G\nBRvW6xdToVNIEviUKcniLOWi2VUh70yU6xFO6/UIGW+2U5uAkEmLgh/JhAfONKoBRYWFelyWZNrN\ngRAyluYK1V4ZtVtf/dMf/I/6X22C834UBvBkyB84mU6bhmGU9Vr8J6GEffvJqD2l//5VeX+FzuPH\nJPfm1y9YoVOoKtj06cniLOU4qlUpe2NFOuMyEEunZ4SQbOBCohE/MqlR8COZGLbGr7CkxNMr0itb\nTgghF+KVFKxKSKEzu/fu+MzPnnjL5lyDM/j3ewBb01zHp4QZ//c+i//9sTCbbwmnwVqVW9WSJUr2\n7VW03bvOW6HznOIsxV7sV2q0YMylgslAWhNNCSHZxgWN+JHJjYIfyYQOnDups6Cw0BOneZ6EkCzT\nALzP1vqKm1uPfH/16lc6ug0GZxP2LQDWhPyBtHZGbwl1vifKxLePR9iVfUzoigTU69ysYHGUvvmm\nqh47NmLeE8XFMOfPN82aKaK3sFzaJdfqp2IqkP4e7YSQMcRpqieZ5Cj4kUwMK+LiLvC4E7RFCCEk\ni24QWmJxd7T5f37x3y9tP3igC0AhgJMAfhvyB7rTabOzq2tmryUeb4mzG9vi3KvLwGydJ8riYal0\nw0Y9VYXOs8VZFlhmRZUIecql7XaV3mkpVJyFkAmARvzIZEfBj2Ri2Fx5j9vjStBUT0JIFkyHwt8b\nE21vvPpKw31/euFtONPL4wCeCfkDR9Np0zCMwj6L/7DT5HeciLB6twx7gVvEino6lWL/8Aqd5xZn\nqRCnXJXyzkSZHqXiLIRMOBwSBT8yqVHwI5kYPuLndrkTNNWTEJKBYknG3abc1XMwuOdzjz/2umlZ\nKpz3mzUAXg/5A6O+u2QYhhRh/N4+Jj7VGLYWuBSJXeYR0YLW02rher9ncIXOZHEWbs2ew2Kl5eKo\nWq3ujRVScRZCJjhBI35kkqPgRzIxLPgpqqpQHQNCSDoUALdzLVx9pvP4Tx55+OXm9rYEnHV8OwD8\nMeQPpDXG1hrqujli8weaIuxqTQIWukTUczSouTdvKuiv0Cncbphz5thmXT2PFpeLA2qNGoy5dFgy\nbaZOyCWCpnqSyY6CH8nEsDdQxhhTQUXsCCGjs0io5pI+88xvf/Xzlzbt3NEOZx1fCMCvQ/5AKJ02\nDcOY0mPxx9rj9i1CCPcc1bYLd+1wq7t3qTIAUVKC+Pz5VryqRuorLMdueYraHFcVWKCwR8gliIq7\nkMmOgh/JxLC/H8uymAYJjKZ7EkIu0nRZw6Ijp3fd91/fWSuE6N8m5n9C/sCBdNozDMPdZ/Fv9zH+\nEZuLsil2nBe8scmtHD2qiMpKkbjpZjNRXil1uMulHbxKMyyFKnESMgkICn5kkqPgRzKRKvhZmiQh\nRpU9CSEXqZlbQGFBiRBCA+AHsCHkD9gX+rmhDMOQoox/3OTi68wW1WXRPrtgg79QKApPzJvPElcu\nZqe0cmWn6dVjXKZKnIQQQiYVCn4kE8P+fsyEaamQctEXQsgExQEoFd4CAN8J+QPRdNpo6+xazLh4\nThJimtvoYu7gITVeXaN0veNW86hareyLFerMlp2xRELIZEV3pcmkRsGPZGL4iJ9pmjSPghAyWi0F\nrsIjz70wBcCx0fycYRiVUcv+gyZhiRKPQ+7qivdoheqbvtvUt2MumYqzEEIIIQ4KfiQTHEMqe5pm\nwlIlie6pEUJGZRuLVb7LNv/GC3zzYs43DKPAMq1nIcvvUSyLG1E7/harKGrhNUU0hZMQMgL6dEIm\nNQp+JBPDg1/CtDSa6kkIGaWQsGEI+x0Xc65hGAUWs1ptIQo6mRQP25pgqqLNlPusGZokMyEJS8g8\nwWUpwSXJhKIwqJIlAItLYMl/LQGA3q8IIYRMEhT8SCZsDKmQZcZipibRBylCyOi1czbTMAzV6/We\nd0cYr9cbbWtreyaKyMdblKPqIfch1+Dvq1DhgQduuOGCC2VwQbddQuUeW+duoQiXUIUOBRoElyGE\nJAScf7mQIYQELmSJQ4IQEgBZYgJI2DIsISHBZdkUisygyNagEElhkpD8RvORyGRHwY9kgg89EI/F\naMSPEJKWnSw+/RatcIkXeP18512/4nbPXe++vf1Dq+5wTVenS1XFlWyra5sah7O/OwNDX/JrgAIJ\nSvrXPBUq3IO+SqBDt11C4x6ucQ9XhUuoQhMKdElwCULI/WESZ8OkBCFkcJwNkyaXYXIJCZEMk+Lc\nMMmS/wp6XyWEEJIhCn4kE8Pq4yUSCeYWggOQc9AfQsgEto/FPae5dU/dCMHv+hW3y5Jtv1vh9n3+\nP/zes2rlioTq0gtdlhu3li2z9mv70KK2jEl9KQaGcPJrgBMmFQyZ8n6xFChDwqRrUJh08/6RSRUa\nhJAh+OAwKQkhZHAhSQIyeHJk0hYSElyCySWYQpZMIcuWUBRLSGBCgsUBK/kvhUlCCJlcKPiRTAwL\nfnHTZEUCFPwIIaMWh0CI25el+t6Sm5Zdowr+VSVhzpaY3RrX3B1h02ovc+mzOOdAF9euLrramuqp\nM3fqO3Q+fEJC3rFhI5L8GpBhmJQhww03PPDABReK4YbGdei221aFh6vcJVThGhQmnQApIIuBEclk\nmBRCAockceGMSiZHJgfCJBPSQIi0hATGkRzNJCRv0VRPMqlR8COZGBb8YmbC1rigaz8hJC2nuTXD\nMIwyr9fbDQDXrbjWJ8VcP5O5VGVBbosXlO4RshIGYB5pOnlqyaIrZtm281Zkhk2tPFEuVpS909qq\nvqX0yr2T7gYUB0c0+TVABiBnHiZdcMEDD4rggs51aNxja7w/TDprJiEUZ80klyHgTHkdNMVVGvyv\nySUkuCSZQobJZdmEIjMhSf0hsj9U0gWFEEKyg4IfycSwO2exRIJpKdb+EULIxXjLitXdqhXe6QWe\nAQCXcB8z3awvqppxDjQJRBRALoCQi55b+7vu66++LAFgoLiLbTEJHdCWli5ljdpxfsT1Nl3nMjQ4\nTBownINZCJMuuAamuRbABS9cUJmHa9xla9wtVOGCAg1SMkzyc8KkLAmcXTcp+kcmRXKaK5clJ0zK\nMhOydHbdJIXJSY5G/MikRhdEkolhAS+WSNiaoGsqISQ9x7kphzh7vy8Z/DZv3MyWL1/+is7U+VE1\nOtuSzYOQnIV2J9sOgdnW9aqkThnaDuth6mzPLFYr1Zhb9a16gjb3yyscHLHk1znUZKRMgwRpYFTS\n+deNMrigMhfXuMdWuTu5ZlI/GyaThXcGRiYhS4PDpICzZtLiMhJclkwhSaZQFAZZOjvF1SnAY1NF\n17xHVT3JZEfBj2RiWMn1aDzOdEFvrISQ9HAAHdyeM+TwMU1oNSVWya6IGrnClE2Dy7wJAHrCPV0V\nxRXDgh8AsBhT3Qk3lnuXm3vUPXKr2krXvEuYgEA8+XWODMIkgHMK8LjhQilc0Gw312w3V7lbqHAJ\nVWiQhJoMk8ng2B8skVw3OShM9q+ZNLksOUV4zg2TFoXJMSFJsHLdB0JyiS6CJBPDRvyi8bhNUz0J\nIZkI2ol6wzDmeL3eY8lD2wDcJkEKF7GiXQk5MSumxBYzme3bunfrgbuW3bWQMZbygz3nHLyT64uK\nFpntnnZzt757QhR+IfkjZZhUIENJP0wOnubqhhvF0AfCpJYMk4rQIQs1OZ01WYTH2R5EnA2Tziil\ngBMWE4PDJBSZCVkeXMmVCQlsEodJGRT8yORGwY9kYlhxl2g8xjQa8SOEZGAbi1Xcbpsf8wLfSB7q\nANCH5KdVF3cdV7laFFWj17yw7oWTdyy7oxdA2fnatMKWXhmvFLd5b7O2qluVPrlv0hV+Ifkjkfzq\nQc/ZgxmGSR36wDRXJ0y6oNkurnE3V7lHqEIXajJMDhqRFMIZjRT9FVyHhskhI5OyBSdMDt4eZKKE\nSRrxI5MdBT+SiRTBL25rNIeeEJKBTmGjS9hL+x83NDSI5cuXtwCo6z+mQAkXsaJtMSN2mdFjWKWF\npRds12a2hA5oN3lvMo9qR3FUO6qPzTMgZPyZya9zZBgmNWjwwDNQ1bXQ2WuSq85ek0LlulDhSobJ\nc6q49o9KQojkukk4U10ZP2evSdkUisygyGcL8Dj/jkWYlCEo+JFJjYIfycTwDdwti6tcDDtOCCGj\n0cHZLMMwVK/X27+WeC+A+cDZTe8kSKLALjhghAxfWVFZlRAXd8/JMix9rmeuVVtUa27Vt+rDPiwT\nQgAAVvKrF71nD2YYJlWoA2HSDTcKB41MJqu5CkXoUIQ2KEw6I5ROJVfZCZOQIIQEwKnaatr9VV1l\nOTEkTLLkv4o0vDYBIZMJBT+SiWELZYQQkBhLgO6jE0IysIPF62/WCpd6gU3JQwcA/EWqc998480t\nc+fM9THGLvqdx4pZmifhwW3lt5m7lF1yu9pO10NCxgEDQ1/ya0AWw6QLLpTBBZ27uAuFlibctibc\nXBW6KJYKaoCSbDwNQiYkWuNAMsGQYh6GZDG6fU4Iycg+Fve0cOue/scNDQ1hAKFU57755ptnbNvu\nTfW98+Gcg4WYfk3sGr7IWmRKE2CNEiFkuP4w2YEONKMZx3AMh+SD8m55m2ubsqngDXVd0WvammJT\n7Xk7130lJJco+JFMmEjxNyRT8COEZCgBgRC3LxtyuBkp3nM45yISiRjp/i6r19KrjWp1hbnCKhJF\ntEaZkEuUAoU29CSTGgU/kgkTNOJHCBkjp7k13TCMwdU6twEoTHVuU1PTcUVR0v5dtmXL6IB2c+xm\na7Y1mwpAEHKJUaBAhtxz4TMJuXRR8COZiAMY9kmLxWMxnaZMEUIytMWK1bVxtmrQoePA0A3VHGvX\nrj0gSVIk1fdGwzIsfV54Hm6ybjI1aJk2RwjJEzp0SJA6ct0PQnKJgh/JRAcwvIxLZ6izq0yiPy1C\nSGaOc1Pu5Ozu/scNDQ0MQGuqcxsbG3tN08zK3XwWZVphZ6F+W+I2s5JVUpViQi4BGjQoUNpy3Q9C\ncok+nZNMpFxT03b6dMgrpz/lihBCAGdD0A5uzx5y+CiQeiiur6+vK1u/27Zt2CFbvy52nX21dTUV\nfiFkgtOhwwVXyhtHhEwWFPxIJsJIsaVD85mWXi8TtM6PEJKxw3ai3jCMOYMO7QDgSnXurl27Dqqq\nOuw9KRNWr6XXdteqt5m3WQWigAq/EDJB6dAtN9ztue4HIblEwY9kIgwM3wy16UxL2MtpR2RCSOa2\ns1hFk23eM+hQB4CUWze8+uqrR4UQo97W4UKYyWSpQ9Jujd9qzWQzqfALIROQC64YACruQiY1Cn4k\nbSF/wAYwrDTyiTNnomUc9OGIEJKxTmGjS9hL+h83NDQIAGdSndvb22vFYrEx+2BndVn6gr4FWGou\nNVXQfu+ETCQuuOKg4EcmOQp+JFOxoQdszoXMaEsHQkh2tHM2yzCMwev69gAoSHVuZ2dnmySN3Xo8\nK2ppJUaJvsJcYVbYFVT4hZAJohCFMTgzBgiZtCj4kUxFUx2UKPgRQrJkB4vVRwRfOujQgZHO3bhx\n425FUcb0/YcxBrvD1q+PXW9faV1JhV8ImQB06L1er5c2cCeTGgU/kqlhI34AINMm7oSQLNnPEp7T\n3PpY/+OGhoYIgFCqc7ds2dJq23bW1/mlYvVY+tSeqcpyc7npEZ7x+JWEkDRp0GiaJ5n0KPiRTKUM\nfjTiRwjJlgQEOrl92ZDDp5DiGsY5F5FIJOVWM2OBJZgid8j6rfFbzenWdFrbTEieouBHCAU/krku\npNpTK2Em6I+LEJItzdyaYRiGd9ChbRhhnV9TU9NxRRnfvURZF9Mvi1yGG80bqfALIXlIh96d6z4Q\nkmv02ZxkqgOAPvRgt9HdXSrRnxchJDvesqJTW7m1atChJqSoKgwAa9euPSBJUmRcOjaIFbG0MqNM\nX2GuML22lwq/EJIn3HBDgXI81/0gJNfokznJVAeAYbfW21vPdHql8b3jTgi5dB3nltzJ7YHg19DQ\nwAC0pjq3sbGx1zTNnEzr6i/8cmP8Rvty83Ka8k5IHihEITzw7Ml1PwjJNQp+JFN9APjQgy3Npw2v\nkIZt7k4IIekQAELcnm0YxuASmkeRYsYBAPT29naNS8dGYHVb+rSeafJya7npARV+ISSXilHc54Hn\n7Vz3g5Bco+BHMhUGMCzg7T16pGsKEykLvxBCSDoO2Yl6AHMGHdqBEYLfrl27DqiqOuym1HhiJlO1\nkKbfGr/VrGf1VPiFkBwpRWkvgBO57gchuUbBj2Qk5A+YAIZ9oDnZ1horZXY8B10ihFyitrNYRZNt\n3jPoUAeAlFs3rFu37pgQYly2dTgfzjlYJ9Mvj1wubrBuMJXhM+MJIWPMA0/Y6/VSVU8y6VHwI9mQ\nchN3OW6mPE4IIenoEjY6ub2k/3FDQ4MA0JLq3N7eXisWi+VNFT8rbOllXU7hlzK7jAq/EDKOVKh5\n815ASC5R8CPZkHoT90SCgh8hJKs6BJtlGMbgLWT2YoRtHUKhUJskSam+lRM2s8E7uL4kvsReaC2k\nwi+EjBPaw48QBwU/kg0pg1+su6e7APnzoYsQMvHtYLH6PmHfNOjQATi1X4bZuHHjHkVR8i5gWd2W\nPr13urLMXGa64c51dwi55OnQKfgRAgp+JDvCqQ4eP3L01FSZNjImhGTPfpZwn+HsY/2PGxoaIgBC\nqc596623Wm3bzssPfCzOFL1T15fFl5lT2VQq/ELIGFGdr5RbvxAy2VDwI9nQDAy/bb330MHWejv1\naCAhhKQjAYFObi8ccvgUUlzPOOciGo3m7dqe/sIvV0WvEtdb15syXZIJybpCFEKHvjfX/SAkH9BV\nhmTDcQDa0IN73n67u5YJquxJCMmqU9yabhhG+aBD2zHCOr/GxsbjipLflTStPksv7yrXV5grzFJe\nmtMtKAi51BShKFGM4v257gch+YCCH8mGEIBhVeosmwnVtKjACyEkq96yolNbuXX3oENNABKpzl27\ndu1+SZIi49KxDDDGIDqEvjS21PJZvrxbl0jIRFWK0m4AJ3PdD0LyAQU/krGQPxDFiFsT04tWAAAg\nAElEQVQ6UGVPQkh2NXFL7uT2nf2PGxoaGICUa3iOHz/eZ5pmXq7zS8Xqtlwz+2Yqt5q3mi64ct0d\nQia8IhSFMcL7AyGTDQU/ki0pP1ix3r5uF1X2JIRkkQAQ4vYcwzAGv7kcBaCnOr+3t7drXDqWJSzG\nFFenS18eX27W2rUs1/0hZCLToPV4vV6aQk0IKPiR7EkZ/I4cPtxUT5U9CSFZdtBO1AOYO+jQdowQ\n/Hbu3LlfVdUJtWl6f+GXRZFF4lrrWir8QkiadOhGrvtASL6gKwnJlg4AwxLe1l27Ts9kqaeBEkJI\nurazWHmTbd4z6FAIQG+qc9etW9cohOgbn55ll9VnaZVGpbbCXGEV82IatSBkFCRIcMN9Otf9ICRf\nUPAj2dIIwDP04P7GYz01jFPwI4RklSFsdHL7xv7HDQ0NAkBLqnP7+vqsWCyWt9s6XAizmCQ6hHZT\n/CY2z5pHhV8IuUilKIUb7tdy3Q9C8gUFP5ItLXCW3pxDCAElnsj7inqEkImnXbBZ/z979x0fR33m\nD/yzVVazPLbkhuUCxksnbnTbsgNpv1RSCByBXI673CWX4wgJkEIIEJKQBAg1hNCbwYRu47Y2swYX\n2Zax3Nc2tixbxdqVRmXr1N8fkrhFnpVke7Wz5fPOK69X5rtfSQ9kd2eeme/3eSRJSmwlU4skbR0C\ngUCzzZbd+40VSXGf1nWafY4yR3abr2ologQVqGgrRanP6jiIMgUTP0qVdgCmPfscESZ+RJR6NWq0\nssvQLksY2gmTG1AAIIriNofDYdryIZsoUcU5LDjMPT82Xx6jjWHhF6J+jMKoILpXJBERmPhRigS9\nPgOA6QbqQHNT8yhbZjdQJqLss0OND2vS1Wt7j0VRjKB7r98xqqurmzVNM90DmG16C79MD0/Xp8vT\nZRsrJxOZKkBBMyt6Ev0fJn6USqaJ346ttQcnwcE700SUUjIMBHXtjD7Dh2FybtN13QiHw1m7z8+M\n0qW4R7ePdi2QFygleonpk06ifFaIwiarYyDKJEz8KJWOwKSc+traj46eqhhc7klEKXdEVyZJkjQy\nYWgTgGKzuQcOHDjgdOZWexlVUW0IwHVZ7DLlNOU0xep4iDJFKUpRgIL1VsdBlEmY+FEq+QEM6zvY\n1tmpFEfjWVlKnYgy2wYlMr5ZV76WMHQISfYbL1u2bCeAUFoCSzNFUtxTu6baLlUulV1wDfwDeWzn\nmzvx+g2v452fvIP2+v4fAjdubcQ/f/BPrHt43Sdje5bswWvXvwbxjyIAYPXdq2EYfOCaacpR3lmG\nstVWx0GUSZj4USodBWB+x7kr1M43GxGl2iFdsbXq2pd7j0VRVAE0m82tq6vrkmW5I23BpZkaVZ3F\nrcXu+fH5coVakVUN69NFiSnYs3gPvvnkN3HF3Veg+vHqfudrsoYZ18341NjHqz/GVx76Clr3teLg\nmoOYdNkkZHvF2FxUgYoAgN1Wx0GUSXgtTikT9PpiAEyf7O3buWvvZLuLt0SJKKUMAAFdPU2SpMQr\n730wWXYOAJ2dnW1pCcwimqZBC2rumdGZ2vnK+Sz80pcB6KoOTdZQUFKASGsEmpo8R668oBIFwws+\nNXb218/Gkp8uwcSLJ+KAeACnzT9tqKOmEzAMw44KgsD6AkQJmPhRqpkWeFkmvv/xOUpuLrEiImvt\n0uKVAE5PGKpBksSvpqZmp9PpzPmnYUqn4h4rjXXOl+crxUYxb7r1cBW6MOP6GVh802Is+8UyxLvi\nkLvk4/odk+dMxjef+iZGnjoSp1adOkSR0sliYReiYzHxo1QLAsfeYj7U3BQpiync50dEKVejxkbW\nafJ1CUNBAKatG7xe7wHDMHKircNAVEW12wI215zYHGWKMoWFX3qctuA0fO3Rr+FLf/4S7E47CoXC\n4/4dhm6g7sM6hINhrL5nNRq3Ng5BpHSiilAEN9xbrY6DKNMw8aNU24EkFfWcoXAHFx0RUapJhoZW\nXbug91gURQOA6ZV4V1eXEo1Gc3afnxmlTXF7Qh5colzCwi8JDq07hPJp5QNPNHleut+7H1Mvn4q9\nS/fikp9cgo9e+Cj1AdIJG4VRkTKULbc6DqJMw8SPUu0AANM19fX79n88wc6LDiJKvRZDnSJJUuLy\nzloARWZzA4FAc74V41Aiiqu0rdQ9Pz5fHqWNyvmlrv1Zfc9qvPEfb2Dbom24+L8v/mR8/6r9qFtb\n96m5W57fgk1PbkLdh3WfVPHUNR2Hqw9j0iWTIEwW8M5/v4NT53PJZyYZjdEtdti3Wx0HUaaxsQQx\npVr55fNugckF19lTTh3+xV/+/D+W2xXTJ4JERCdqunNY/KbCUV+qHFm+GgCqqqqKANwBINp37kUX\nXTT2+9///vdVVS3o+1o+cJW55IaCBuxw7XAbZo+ziLLcHMzZOEOYcaHVcRBlGj7xo6FwFCb7/HYe\nPNA5Jq5ynx8RpdxONV7QqKnX9h6LohhB916/Y2zcuPGopml5sc/PjNKhuMd3jHdUKVVKoXH8+9uI\nMt0wDGNhFyITTPxoKOxAkiVWjlAkr/bWEFF6yDAQNDRPn+F6mJzndF03QqGQaQXifKHGVYe9xe6a\nF5snT1ImsfAL5YyC7v/ssToOokzExI+Ggh+m2+GBlvrDh8fYHGkOh4jywWFdmShJ0siEoc1IUmzq\nwIEDB5xOZ3oCy2BKm+I+M3QmLpIvkp3gvw/KfqMwSi5FKQu7EJlg4kcpF/T6QgDazV573yfuPku3\nH7PnhojoZFUrkVOadeXrCUOHAMTM5i5btmwnwN6iQHfhlzKpzL1AXiCP1EbmdeEXyn5jMbbJBddm\nq+MgykRM/GioHDUb3LhrZ9sEWec+PyJKuUO6Ygvq2pd7j0VRVAE0m849dCgUj8e59LyHqqrQApr7\ngugF2tny2cfX0ZwogwzH8HpBEHidQWSCiR8Nld0AjqkaYBgGnNznR0RDwAAQ0NXTJElKLC61D4Db\nbH5nZ2dbWgLLIkqH4q7sqHRUyVUyC79QtnHCiSIU7bI6DqJMxcSPhspuJHl/dTQfbRZsfOsRUert\n1uKVAKYlDG1GksRv8+bNO5xOJ5c29qHIisPV6nLPjc2VK5VKFn6hrDEWY6NlKHvJ6jiIMhWvvmmo\ntAMwLZf+wRrfzjN1RzzN8RBRHqhRo8JBTb4uYagVSb6LvF7vAcMw8ratQ390XYfaprrPCp9lXChf\nKDvAolyU+U7BKYddcK23Og6iTMXEj4ZE0OszALSYvebbUtNyqmJw/T0RpZxk6GjTtQt6j0VRNAA0\nmM0Nh8NqNBrl0vN+qGHVPbxtuHuBvEAWNIFPRymjlaCkThAE1eo4iDIVEz8aSvsBFPQd1HTdcIej\nvMtOREOixVAnS5KUuLxzK5K0dQgEAs12O0+F/dE1HXpAd18Yu1A7SzmLhV8oIxWiEEUoqrY6DqJM\nxrMdDaVtAFxmLwTr6w9VsJ8fEQ2BzUq0slPX5iYM7Qagm81dtWrVVrvdzqXng6C0dxd+mSfPk4dh\nmNXhEH3KBExoEyBwfx9RP5j40VAKAgibvfDaW29tuVC1c7knEaXcTi1e0Kyr1/Qei6IYQff30TE2\nb97comkaVyAMkhpXHe5Wt3tebJ58inoKl9RRxhiN0YcB7LU6DqJMxsSPhkzPPj/Tfn576w+FKiJx\nKc0hEVEekGEgaGiePsP1MDnn6bpuhMNhfhcdB13Xobaq7nPD5+qzldmynZcSlAFKUHJQEATD6jiI\nMhm/rWmoHUSS5Z7hpuaG4WzrQERDoF6TJ0mSNCphaBOS7PPbv3//x06nMz2B5RAlpLiFNsH9Wfmz\nSpleZrqUligdRmCEUYjCpVbHQZTpeNVNQ60WJgVeAGDx4sWbZ+uOSJrjIaI8UK1GxzfpytcThg4B\niJrNXb58+S4AobQElmM0VYMe0F0XRy9WPIqHhV/IEhMxsWk4hr9pdRxEmY6JHw21ZiTZ51e9c0db\nZVRpT3M8RJQHDumKrVXXvtx7LIqihu7vo2PnHjoUisfjbOtwEpR2pWBKxxTHXHmuXGB+r49oyIzA\niHpBEAJWx0GU6Zj40ZAKen06gMPJXleDbc3DYEtjRESUL4K6dqokSYlfMPsAuM3mdnZ2tqYnqtyl\nxBVHQWuBuypWJY9TxylWx0P5wQ47ilG8z+o4iLIBEz9Kh2ok2VuzesXKzTPgZCl1Ikq5nVqsEkBi\nkZcaJEn8Nm/evNPpdLJB+UnqLfxyfvh8zFRmsvALDbnRGK2UoOQVq+Mgygb8RqZ02APAdO/Hig3r\nmqbFNC73JKKU26JGhYOafF3CUCsA0yWdXq/3gGEYbDGTIkpIcZVL5a4F8gKlVC9l4RcaMpWoPFyI\nwtVWx0GUDZj40ZALen0KgAaz1wzDAKSOAOvpEVGqSYaONl2b3XssiqKBJN9F4XBYjUajvAmVQqqi\n2oyA4bo0dqkyTZnGwi80JEpQckgQhJjVcRBlAyZ+lC5bABSZvVD9wQdbzoWL+0GIKOVaDHWyJEmJ\n1UZqkWTpeUtLS5PdztNiqimSUjCla4p9jjyHhV8opQpQgCIUbbU6DqJswTMcpUstANP9M296vXXn\nxHVW1COilNukRCd06trchKHdSPJdtHr16lq73c49x0NAjarOYa3D3FWxKnmMNka1Oh7KDeMxvkuA\n8LzVcRBlCyZ+lBZBry8KoMnsNUVTDVdnKMg3IxGl2i4tPqxZV6/uPRZFMYLuvX7H2LRp01FN0zrT\nFlye6S38Mj08XZ8uT2fhFzppp+CUQ3bYt1kdB1G24LcupdMOAMNMX9hcs32ajRX1iCi1ZBgIGOoZ\nfYbrYXL+MwwDoVBISk9k+UvpUtyj20e75svzlRK9xLA6HspOdthRgpLtgiCweBDRIDHxo3TahCTv\nuUXvLd47QzavtkdEdDLqNWWiJEnlCUMbkWTP8f79+z92OlluaqipimpDAK7LYpcpU5WpLPxCx20C\nJoSHY/jfrI6DKJsw8aO0CXp9XQCOmr3WFYmohV2RtjSHRER5YKMaHd+kKd9IGKoHYFoFcPny5bsA\nhNISGEGRFPdpXafZL1Muk11wWR0OZZGJmHhgGIattToOomzCxI/SzQ+Yn93rdu3eM9Hm5LIfIkqp\nQ7piazW0/9d7LIqiBqDZbG59fX0oHo9z9UEaqVHVWRgsdM+Pz5dHq6NZ+IUGxGWeRCeGiR+l23oA\nbrMXXnn7rR0XKjZecBFRygV19VRJkmwJQ3uR5Luos7PTtPgLDR1d16EFNfeM6Az9fOV82QbbwD9E\neWsCJoTKUPaY1XEQZRsmfpRWQa+vFUkq6jW3tcbLOsMBvimJKNV2aPFKAIlFXmqQZPXB5s2bdzqd\nTj5JsIDSqbjHSmOd8+X5SrFRzBUgZGoiJh4oQME6q+Mgyja8xiYrHADgMHuh2rdm03ls5k5EKbZF\njY44qMnXJQy1ATBt3eD1eg8YhsHVBxZRFdVuC9hcc6JzlFOVU3k+oE9xwIFSlG4XBIE3BoiOExM/\nssJaJKmo9+p7i/dPj2pcZkVEKdVu6GjTtVm9x6IoGgAazOaGw2E1Eom0py04MqVIintaaBouUS5h\n4Rf6xCk4JcRqnkQnhokfWaERMG/doOm6ETnSWFdm41uTiFLrqKFOliSpIGGoFkCx2dxAINBkt/N7\nyGpKRHGVtJa458fny+VqOXu9EiZi4sdc5kl0YnhWo7QLen0GgIOA+e79519+ae081dGV3qiIKNdt\nUqKVnbo2N2FoFwDTvXyrVq2qtdvt8fRERv3RNA1aUHPPis1Sz1POY+GXPOaCC8MxfBOXeRKdGCZ+\nZJU1SHKnfW/9odDozkggzfEQUY7bpcUKmnX1mt5jURSjAEy/azZv3tyiaRr3+WUQpUMpGNc+zjlf\nnq8UGaa7BSjHTcGU1pEYeZ/VcRBlKyZ+ZJV6AMFkL27dsGHz2XCynxMRpYwCIGConj7D9TA5FxqG\ngVAoJKUlMBo0Ve4u/DI3NleepE6SrY6H0ms8xu8dJYzaY3UcRNmKiR9Zome55xYAw8xef/HNN/fM\njhlt6Y2KiHJdvaZMkiSpImFoE5IUm9q3b9/HTqczPYHRcVHaFPeZXWfaLpIvkp3g/0f5oAhFKEXp\naqvjIMpmTPzISh8AMF2nr2iqITc115fwLUpEKVStRsc1asqVCUP1AGJmc5ctW7YLAPcbZyglorjK\npDL3AnmBPFIbycIvOe50nH5EgPBwOv+mx+P5scfj2e3xePZ6PJ4fpfNvEw0FXlWTZYJeXxRAHZIU\neXl54cIP52qOUFqDIqKcVq8rtjZD+1LvsSiKGoAms7lHjhwJx+Nx015/lBlUVYUW0NwXRC/QzlHO\n4dLPHFaBir2CIBxN59/0+/2PAvgjgL/6/f7H0vm3iYYC10eQ1VYB+E8AxyR42z/e33FDKBpAmbMk\n/WERUa4K6OoUSZJsCZUB9wKYAOCYKp6dnZ2tgiCcktYA6bgpHYr7FPcpWsWICnmDc4M7aotaHRKl\nkABBK0HJaxaG8Kkb1B6PZxuAlQAuBbDa7/f/sr8f9ng8e9Ddw/gcAIv9fv/dPePfB3ARAA+6H8Ys\n8Pv9msfjuR7AD3v+7tN+v/8fPfP/AOBydH9XxQD8wO/315v8ns/6/X7V4/F8AcBv0L266n6/3/96\nz+/5EYBrAWgAnvX7/U+ZjD/j9/ufPrF/XZSp+MSPrPYxgKQFFHZv3rJ1GpxcwkNEKbNTi1cCODNh\naAuS3AjdtGnTdqfTadrygTKLKqsOR8DhnhebJ09UJipWx0OpczpOPzgcw5+3Oo4EAoA/oTvx+8og\n5g8DcCOAiwF80ePxjE14bSyAy/1+/7yepK8c3TfE5wK4DMC/eDye8T1zPw/gQgDvAviH3++v7xk3\n+vwe1ePx2NH9tPIKAPMA3OjxeNw9878N4Et+v39Ob9JnMs6kLwcx8SNL9RR52QrAbfb6s/9ctOOi\nOIu8EFHq1KjREQc1+bqEoTYApq0bvF5vnWEYbOuQJQzDgNKmuM8Kn2VcKF/Iwi85wA47BAjbBUGI\nWB1Lgma/33/U7/drSLJHuI+A3+8P+f1+HUANgMqecQPAyp7f02sKgM1+v1/tGd8AYFrPa88A8KP7\n6d6KPn+j7+8pR/dKhsXofjo5AkDv6oXvAfihx+P5s8fjuTThZ5KNU47gNyJlAh+AOWYvxGRZR0uw\nobByZEXUvA4MEdFx6TB0tOrazN5jURSNqqqqJvzfxdgnIpGIGolE2gsKCoS0BkknRQkr7hHxEZgv\nzJc3OzY7JIfksDomOjFTMEUqQ9kfLQzBtA7BcRrv8XhGovsG0wx0L79M5gCAWR6Px4XuxPASAA96\nPB4bgC8COMfv9x+zLN1EAMBuAF/z+/2f2qvs9/uPALjX4/EMQ/cS1Jn9jVPu4BM/slzQ6wuhu7Ke\nqdcWvfbBHN2ZSXf6iCjLHTXUyZIkFSQMfQSg2GxuS0tLk93O02W2UVUVekB3Xxi7UDtLOYuFX7LU\nZEzeNU4Yt9GKv+3xeH4M4FYA/9OnqqeR5H8n0w7gfnQ/vXvV7/cnbnH51M/7/f5WAI+j+6b4BwCe\n9/v9TX6/30D3dbvX4/G87/F4XvR4PMP7+T0GgNsAvNMz/6WEf64HPB7P++hO7h4daJxyh80w+BSF\nrFd++byzAPwrgLDZ6w8+8MD3nxzumJTeqIgoV53nGBa/qXDUVyePKl8BAFVVVYUA7oDJsq1Zs2aN\nvuGGG36gqmpB39coOzjdTjVeFter3dXuKFj4JVuUo1y+DJf91yRhUlbvN/N4PJv8fv/sk/wdZeh+\nUngLAB3APwHc6/f7LUmKKTvxFiZlit0AkpZNP7Btx44pNhZYIKLU2K3FCpp19ZreY1EUowCCZnNr\nampaVFXlPr8spsqq09Xqcs+NzZVPUU9h4ZcscQbO2JthRV1OVCqessTQvf/vfXQ/DfyISR8dL+7x\no4wQ9PqM8svn7QAwC8AxJ+UnX3n5oztnz7jgYAEq0h8dEeUaBUDQUD19husBnIvuUuafMAwD4XBY\nKi4uHp2u+Cj1dF2H3qq7zy05Vz6l6BS5xlXj1sCi0ZmqEIUoQ9kKQRBUq2M5WX6//4IU/I44gCtT\nEA7lMT7xo0yyCoDL7IVwNKqFDxzyl/MtS0QpUq8pEyVJSryZtBFAkdncffv27Xc6ea80FyghxT2i\nbYR7gbxAKdPLuJIkQ52JM+tGYdTvrY6DKJfwKpoyRtDr6wRwONnrD/3j7x98Xra3pjEkIsph1Wp0\nXIOmfDNh6DBgvgFs6dKluwF0pSUwGnKaqkEP6K6LoxerZyhnsPBLhrHDjgpUbBEEged8ohRi4keZ\nZg2SVNZr7eiQjSONH4+w8W1LRCevXldskqF9sfdYFEUNQJPZ3IaGhnA8Hk+6D5myk9KuuCd1THLM\nk+fJwzDM6nCox2k4rW0ERtxtdRxEuYZX0JRptiNJZU8AePQf/xA/Lzva0xgPEeWwgK5OkSQpsU+X\nH4Bp9c7Ozk4+fchBalx1uFvd7nmxefI4dRwLv2SAiZi4c6wwdqvVcRDlGiZ+lFGCXp+O7uTPdK/f\nkZaj0YKjgUPFKemnSkT5bocWrwRwVsLQR0jy/bNx48btTqeT1UBykK7rUFtV92fCn8FMZaZs5+WR\nZUZjdLwUpf+wOg6iXMRvNspEy9HPe/MfTz3l/bzmZGl1IjppW9ToiAOafF3CUBu6my0fY9WqVXW6\nrnO5Zw6TQ7KrXCp3LZAXKMP14Sz8YgEPPP7hGP6y1XEQ5SImfpRxgl5fCMAuAA6z1/fWHwqNCLY3\nDONTPyI6SR2GjjZdm9l7LIqiAaDBbG4kElGj0SiXmuc4VVFtRsBwXRK9RJ2mTGPhlzQqQhHKULZM\nEAQ+WScaAkz8KFO9A8Cd7MUXn3/B+1nNGUpjPESUo44a6mRJkhL39W1FkiJTR48ebbTbeerMB0q7\n4p7SNcU+R54jF5hv+6QUOxNnHhyJkX+0Og6iXMWzF2WkoNfXAWAvkrxHa/bsksa1dzWyqxYRnaxN\nSrSyQ9eqEob2AOadvVetWlVrt9tjaQmMLKdGVeew1mHuqliVPFYdm/WNxDOZAw6Uo7xGEATJ6liI\nchUTP8pkbwPJ62u/8eqiVVW6K5LGeIgoB+3WYu5mXb2m91gUxSiAgNncLVu2BFRV5T6/PJJQ+EWf\nIc9g4ZchchpOaxUg3Gl1HES5jN9elLGCXl8QwEHAfDOfr2Zzy6kdkWa+iYnoZCgAgobq6TNcD5N9\nxoZhIBwO84lEHlJCirtcKnfNl+crpXopC7+kWCUqt48RxuywOg6iXMZrZsp07wAoSvbisnffff9S\nwxVNYzxElIMOacpESZJGJwxtAlBoNnfv3r37nU4uNM9HmqrZEIDr0til6lRlKgu/pMgYjIkNx/DH\nrY6DKNcx8aOMFvT6GgAcTvb6Ep945MyueAvrexLRyahWo+MaNeWbCUOHAZjeVFq2bNluACwulccU\nSXFP7Zpqu0y5THYnr0NGg3QmztxditLXrI6DKNcx8aNssBhJKuwBwIcrvR/MMly880pEJ+ywrqDN\n0L7QeyyKogagyWxuQ0NDOB6Ps5donlOiiqswWOieH58vj1ZHs/DLCRqN0bEylD0mCAKXzxINMSZ+\nlPGCXt8BAM3JXl+0dMnH08NKSxpDIqIcFNDVUyVJSlxAsBcwr+Pf0dERTE9UlMl0XYcaVN0zozP1\n6cp02cb+ssftbJy9vQxlT1sdB1E+YOJH2WIpkuz1MwwDW9eu3XAuXEqaYyKiHLJdi09QDeOshKEt\nAEw381VXV293Op1sMk0AALlTdo+WRjsXyAuUYqPYsDqebDEe48NlKLuPT/uI0oOJH2WL3QBak734\n9GuLdl4WVrnXj4hO2BY1OqJeV65PGJIAmC7pXL16dZ2u62zrQJ9QFdWOAFxzonOUU5VTeSNyEM7E\nmduHY/giq+MgyhdM/CgrBL0+A4AX/Tz1W7l48SpW+CSiE9Vp6GjV1Rm9x6IoGgAazOZGo1EtGo22\npy04yhqKpLinhabhUuVS2QWX1eFkrImY2FWGst8JgsAnpERpwsSPsskWJLn7DgBvrlh+8CwpfMTN\nPRZEdIJadG2yJEnDEoY+AlBiNvfo0aONdjtPo3QsJaK4iluL3fPj8+VytZxLgk1Mw7StlULlEqvj\nIMonPGNR1uh56udDkt5aAPDMk0++9yXNyeVXRHRCNqmRynZdm58wtAeAacXGlStX1trt9lh6IqNs\no2katKDmnhWdpZ2nnMfCLwlOxalSGcputzoOonzDxI+yzXoA4WQvbvHvaS850rxfsPGtTUTHb5cW\ndx/V1at7j0VRjAEImM3dunVrQFVV3miifimdintc+zjnfHm+UmQU5f2yRhtsmIqpH00QJvisjoUo\n3/DqmLJK0OvTAHwAYFiyOfc9/PCKr8TtLLVORMdNBRA01Gl9hg8BcPSdaxgGwuGwlJbAKKupsmq3\nBWyuubG5ymR1cl4Xfjkdp7eWoexWq+MgykdM/CgbrQHQlezFFqkt3rpzd+1kOLivgoiOW52mTJQk\naUzC0EYkKSy1d+/e/Q7HMTkhkSmlTXGf0XUGLpYvlp3mnUJymh12TMbkjeOF8ZutjoUoHzHxo6zT\n89TvHSS5EAOA+//++LrPRw02dSei41atRsY1aMq3EoaOAIiYzV26dOkum82W9EYUUV9KRHENl4a7\nF8gL5FHaqLy6QemB5+hIjPy51XEQ5SsmfpStdgBoBMx3y8uKom/wrvLNNpzx9IZFRNnuiK6izdA+\n33ssiqIOoMlsbmNjYyQejyetNkxkRlVVaAHNPTs6WztXOTcvCr844MBETNwwRhiz0+pYiPIVEz/K\nSj0VPl9FPxU+X3zrTf/Mznhj/i2mIaKTFdDVKZIkJV6N7wVQYDa3vb09q/YU79q1C7feeiuee+65\nT8Zqa2vx61//Gr/+9a+xffv2AX/HihUr8Itf/AJ33nknGhsbAQDvv/8+fv7zn6JjEbYAACAASURB\nVOPxxx8HADzyyCMwjLyvZdIvpUNxj+8Y76iSq5RCI+npLCechbMay1H+U6vjIMpnTPwoawW9viYA\nO4HkGyUWvvDC0is0Vyh9URFRLtiuxSpVwzg7YWgLYN6Nu7q6eofT6cyaJXuKouDKK6/85FjXdbz6\n6qu4/fbbcfvtt+PVV1/tN2GLx+NYvXo1/vCHP+Cmm27Cyy+/DABYv349fvOb36Curg4bN27ErFmz\nYLPl/pOsk6XGVYc9YHfNi82TJyoTc7LwiwsuTMCED8uF8gNWx0KUz5j4UbZ7Hf28jz/8aEtgzNHW\ngyVs70BEx2GLGiur15Xre49FUWwDYFrB8/33368zDCNrlnuef/75KCn5v570TU1NGD9+PAoKClBQ\nUICxY8eiqcl0ZSuA7mqmmqZBURQUFxejvb0dqqriiiuuwD333IMZM2aguroaF110UTr+cXKG0qa4\nzwqfhQvlC3Ou8Ms5OKe+AhU3Wx0HUb7LrW8WyjtBry9Ufvm8tQDmADBtpPzgI48s/c8775iw0KUL\n6Y2OiLJVl6GjVddm9BluBDAZwKceh0WjUS0SibQXFBSMTFd8qRQKhVBcXIxnnnkGAFBUVIRQKPlC\niWHDhuHKK6/E7373OxQWFiIUCiEcDmP27NmYPXs21q9fjylTpqQr/JyihBXXiPgILBAWyJscmxyS\nQ8r6krEFKMBYjBUFQThidSxE+Y6PQSgXLAcQTfZi/dHmaHzfxzvGwc7NJkQ0aEd1dbIkSYk9Qz9C\nkmrCzc3NjXZ7dp5SS0tLEQ6Hcc011+Caa65BOBxGaWlpvz9z8cUX484778Rtt90Gp9OJsrIyAN3L\nRjdv3oy2tjY8+uij2LVrVzr+EXJKb+GXC2MXamfLZ8tWx3OyzsN5BypQwUqeRBkgO89SRAmCXp8K\nYAn6ae/w50ce8X05ZmN7ByIatE1qpLJd1xYkDO1Bd4/3Y6xcubLWbrebrjrIRIl7+MaMGfNJgRag\ne+nnuHHjBvV7ampqPvV0b+3atbjkkkvg8/lw/fXX46233kpd0HlGaVfcEzom2KvkKrkweR2zjCZA\nUMZi7AuCIPD8S5QBmPhRrqgBEEj2YiQe03auXbfuXMOZkxvniSj1dmtx11Fdvbr3WBTFGJJ8z9TW\n1gZVVe1MW3An4c0338SiRYuwefNmPP7443A4HPjOd76Du+66C3fddReuuuqqT81ft24dampqPjX2\n6KOP4le/+hXee+89fO973wMAaJqG2tpazJw5ExMmTMBvf/tb7vM7SaqsOl2tLvfc2Fx5gjoh685f\nMzBjqwDhbqvjIKJuNpZaplxRfvm8iQB+AiBs9rrNZsNj9z/w/SeG2yeZ3rInIurj5sJR1V8ePeGT\n7KWqquqbAD4D4Jgqnvfee+93i4uLPemMj/KHq8QltxW1ocZV49aOfftlnGmYFjgH51xZKVR+aHUs\nRNSNT/woZwS9vnp099oy3QxvGAaefOKJt7+mOrOm+h4RWatOUyZKkjQ2YWgTkiwr9/v9+xyOrK/F\nQRlKCSnuEW0j3AvkBfIIbURGZ34FKMBpOM3LpI8oszDxo1yzCEl6bQFAze5dkrp730dT4OBDPyIa\n0AY1Mq5RU76VMHQESYpJLV26dDeArrQERnlJUzXoAd19Uewi7UzlzIwt/DITM/dUoOJHVsdBRJ/G\nxI9yStDr60D3HfmCZHP+8NCDa74Y0prYy4SIBtKgq2g1tM/1HouiqKO7rcMxmpqaIvF4nCsKaMgp\n7Yp7YudExzx5njwMwwb+gTQagzHRcpQ/JghCu9WxENGnMfGjXPQugKR3QjVdN5598sm3v6K5eIFG\nRAMK6OoUSZJsCUN+JLm51NHREUxPVJTv1JjqcLe63fNi8+Tx6viMKPxigw3n4/zNIzDiEatjIaJj\nMfGjnBP0+mQAXiB5/evq7dtabf6Pt02EI6P3SRCR9bZrsUrVMM5JGNoCwHTRwIYNG7a7XC5+r1Ba\n6LoOtVV1nxc5z5ilzJLtFl/WnYNzGkdgxH8JgsDKgUQZiIkf5aoPAbQAsCWb8Pu//vX9L4e1JpZi\nIKL+bFFjZfW6cn3vsSiKEgDTZWyiKB7SNI2rCSitlC7FPUoa5VogL5DL9DLdihiKUWxMxMR3xwnj\ndlrx94loYEz8KCcFvT4DwLNA8s0PiqYaLz79zDtf1lxZ0XuLiKzRZeho1dUZfYYbYXJjKRqNatFo\nlHubKO1URbUZAcN9cfRi1aN40l74ZRZm7RyFUT9N998losFj4kc5K+j1tQJYhX6Sv7VbPwq499Vt\nnwCHJXdIiSg7HNXVSZIkJS4fr0GStg7Nzc2NdjtPr2QNpV1xT+6a7Jgrz5ULktc5S6lKVHYKEO4W\nBCGSlj9IRCeEZybKdV4Arehnyefv/nr/6q9G9CZ+GIgomY1qtFLStc8mDO2FSRN3AFi5cmWtw+GI\npScyomOpUdVR0FrgropVyWO1sUPavsgJJ87CWesnCZMWDeXfIaKTx2tdymlBr09H95LPpLc9ZUXR\nX3nu+Xe/pLnYf4uITO3R4q4WXb2q91gUxRi69xEfo7a2NqgoCvf5kaV6C798JvwZY4Y8Y8gKv5yP\n8w+Vo/zfh+SXE1FKMfGjnBf0+gIAfOhnyadv86ajRR8f2jGeSz6JyIQKIGio0/oMHwJwTH0owzAQ\nCoWktARGNAClS3FVtFe4FsgLlFK9NKXnuDKUqeMw7uVyofxwKn8vEQ0NJn6UL5YDaEM/Sz7veeB+\n79cjRjM/FERk5qCmVEqSNDZhaBOS7PPbs2fPPoeDNYMpM/QUfnFdGrtUPV05PWWFX2Zi5raRGHlH\nqn4fEQ0tXuNSXuhZ8vkc+nnqF5Nl/fWXX1r8ec0VSl9kRJQtqtXIuAZN+VbC0BEAYbO5y5cv32Oz\n2bh8nDKKIinu07pOs1+mXCa74T6p3zUVU1tHYMQtgiBkRPN4IhoYEz/KG0Gv7yiANegn+fOuX980\nou7IrjGws/ksEX1Kg66i1dA+13ssiqIOoNlsblNTUyQWi7GtA2UcJao4C4OF7vmx+fIYbcwJFX4p\nQpExDdOWVgqVq1IdHxENHSZ+lG+WorvxcvIqn/fdt+LKKJqTTiCivBXU1VMlSUr8etiDJDeTOjo6\nWtMTFdHx6S38Mj08XZ8uT5dtyU+Jpi7EhdvKUf7DIQqPiIYIEz/KKwlLPguTzYnEY9rrL7707tfY\n2J2I+timxSpVwzg3YegjmBR4AYD169dvczqdQ1pKn+hkKF2Ke3T7aNcCeYFSopcMaqXL2Ti7aSRG\n/id79hFlHyZ+lHeCXl8TgA/RT4uHVRvWN0W3bNtwruFI2SZ4Isp+H6mx4Yd05freY1EUJXSvIjiG\nKIr1uq7zBhJlNFVRbQjAdVnsMuU05bR+9+uNwAh1MiYvnCBM2JCu+IgodZj4Ub5aAqAL/Sz5/Mvj\nf1t/YUvnfoEfEyLq0WXoaNPV6X2GG2DyXRKLxbRoNMp9fpQVFElxT+2aartUuVR2wXXM63bYMRuz\nN43CqFssCI+IUoBXtJSXgl6fhgGqfALA7ff87s2ro7YmFmUnol7NujpZkqTE5eJbkKStQ1NTU6Pd\nzlMtZQc1qjqLW4vdC+IL5Aq1Qkt8bTqm15Wj/FpBELRkP09EmY1nI8pbQa+vAcAG9LPkszMcVp/9\n+99f/5bq4l17IgIAbFSjEyRduzxhyA/A9GJ45cqVtXa7PZaeyIhOnqZpUIOqe2Z0pna+cr5sgw1j\njDHh8Rj/yGhh9AGr4yOiE8fEj/LdOxhgyWf19m2tRz5Y77tQd/LijYjg1+KuFl29qvdYFMU4gBaz\nudu2bQuqqtqRtuCIUkTpVNxjpbHOK/QrwjMwY5MA4X6rYyKik8PEj/Jaz5LPJ4D+O9k+/uLzW89o\nCOxmfz8iUgEEDPX0PsOHYFLd0zAMhEIhKS2BEaWYqqj24bHhRypsFf8mCALPf0RZjokf5b2g1xcE\n8Dr6afEAAL/+/T2LvxU2GtzH2e+IiHLPQU2ZKEnSuIShjUjyHbJnz569TqczPYERpVBRUVHA7Xb/\nTBAELvEkygFM/IgABL2+zejux5V0v19MlvUHH3hg0XcVZ1v6IiOiTFStRsYe0ZRvJww1ADDta7Zs\n2bI9hmF0pScyotRwOBxqcXHxaxUVFYutjoWIUoOJH9H/eQ2AhH4+F7sPHujaunTFiirNyca1RHms\nUVfRZmhX9B6LoqgDaDab29zcHI3H4ywQRVlFEITNbrf7RqvjIKLUYeJH1KNnv9/fAfS7Juult9/0\njzlweNskOFjSmiiPBXR1iiRJiefR3UjSIqa9vb01PVERnbyysrKDLpfrakEQVKtjIaLUYeJHlCDo\n9XUAeBED7Pe740/3rvh/HXJ9Eff7EeWtbWpsomYY5yYMbYVJgRcAWL9+/Tan08mLaMp4hYWFrQUF\nBb8aNWpUndWxEFFqMfEj6iPo9e0CsA79NHfXdN34w733vnaN7AymLzIiyiQfabHSOl35fu+xKIoS\nANMlnT6fr94wjM50xUZ0IpxOp1xSUrJw9OjRC62OhYhSj4kfkbl3ATQhyd17AKg/2hz1vvbPxV/U\nnCzaQJSHQoaONl09v89wA0z6gsZiMS0SiXCfH2Usm82GESNGfMh9fUS5i4kfkYmg16cDeBJAv32L\n3l296pBr597NHsOppCcyIsokzbo6SZKkooShLQCKzeY2NTU12O087VJmEgRhV0FBwbcFQdCtjoWI\nhgbPQERJBL2+MIBnMcB+v98/9OCauS2d+yrgYHNbojyzUY1WSrp2ecKQH9093o+xYsWKWrvdHktP\nZESDV1JS0uByuf5VEAS2KyLKYUz8iPoR9PoOAPCin+TPMAzcdudv37iqSz1czGIvRHnFr8VdR3X1\nO73HoijGAbSYzd2+fXurqqodaQuOaBDcbneoqKjozxUVFRutjoWIhhYTP6KBeQEcAOBKNiESj2l3\n3fO7hdfHHEf77QVBRDlFBRAw1NP7DNfBZH+wYRgIhUJ8okIZw26362VlZW+PHj36QatjIaKhx8SP\naABBr89A95JPGSZFG3o1BAKxJx5++NVrFRcv7IjySJ0mT5QkaVzC0CYkWSWwa9eufU4nbw9RZhAE\nYaPb7f6B1XEQUXow8SMahKDXFwfwBICC/uZ9tGe3JC56/Z2vay6WbSfKE9VqdOwRTflOwlADgIjZ\n3GXLlu1hWwfKBCNGjNhfUFDwLUEQZKtjIaL0YOJHNEhBr68J3W0e+i328u5q76HgB+vFObrT9MKP\niHJLo66izdCu6D0WRVFHdzuYY7S0tETj8Tj3+ZGliouLGwsKCv595MiRDVbHQkTpw8SP6DgEvb61\nAKrRT3N3APjbC89/NHrPwS1nGA7eSSXKAwFdnSJJUuI5dTeSfE+0t7cHbTYWgiJruN3u9uLi4jsr\nKipEq2MhovRi4kd0/N4EsB+Au79Jd97/l1UXN0p7Jhh2LT1hEZFVatVYpWwYic3ct8KkwAsArFu3\nbrvD4TBt+UA0lBwOh1xWVvbk6NGjn7A6FiJKPyZ+RMcpodhLG5Jc2AHdFfxuvfO3b31Fih0YyY8a\nUU7bqsZKj+jKdb3Hoii2A2g3m7tmzZp6Xde5z4/Sym6364IgvO12u2+xOhYisgavRolOQNDrUwE8\nBkBDP5U+FU01br3jN4uu6dLrS/hxI8pZIeho1dXP9BlugMn3QywW06LRqGlSSDQUbDYbRowYsb6g\noOBaQRAMq+MhImvwSpToBAW9vgiAR9BPfz8A6IpE1DvuuvPl66O2ZjcbvBPlrCZdnSRJUlHCUA2A\nYrO5jY2NDXY7T8GUHsOHD99dWFj4FVbwJMpvPOsQnYSg1xcE8DQGqPTZ3NYav/9Pf3rpX2VngB86\noty0UY1OaNPVyxOG9qK7x/sxVqxYUWu326PpiYzyWXFx8eGioqKvCoIgWR0LEVmL16BEJyno9e0H\n8DoGSP721h8Kvfi3xxd9T3Hx5EuUg/xa3NWia1f1HouiGAfQYjZ3x44drYqicJ8fDamCgoLWkpKS\nH4waNWq/1bEQkfWY+BGlQNDr2whgNQZI/jZsqw2+/8qit76tudjHiyjHaACChnp6n+E6mBSBMgwD\noVCoLR1xUX5yuVxdZWVlt1dUVHitjoWIMgMTP6IUCXp9ywFswgA9/paI79f731u57Guaqys9kRFR\nuhzQ5ImSJI1PGNoIoMhs7q5du/Y6nU4W2qCUczqd0bKysj+PHj36b1bHQkSZg4kfUWq9ju59Pf32\n+HvprTf2HHxv5ZJvaC4u9SLKIdVqdMxhTbkqYagRQNhs7vLly/2GYfAGEKWU3W6Xhw8f/vexY8fe\nbXUsRJRZmPgRpVBPj7/nADRhgGqfL731hn/vu8uWfJPJH1HOaNJVSIb22d5jURR1dH8fHKOlpSUa\nj8e57JtSxm63q6Wlpa8WFhb+1OpYiCjzMPEjSrGg16cB+DuADvTT4B0AXnn37b0731r87rdV7vkj\nyhUBXZ0iSVLi+XUXkiwBb29vD9psbPNCJ89ut+tFRUXLSkpKrmevPiIyw8SPaAgEvT4Z3T3+FPTT\n4B0AXntvyf6tb7z9zlUs+EKUE2rVWKVsGInN3GuR5CbQunXrtjkcDtOWD0SDZbfbjYKCgnVlZWVf\nZ9JHRMkw8SMaIj0N3h9C9wVfv8nfG8uXHdi46I23vqu629MSHBENma1qrPSwrlzXeyyKYjsA0zYu\noijW67rO5d50wux2O1wuV+3IkSMvFwRBszoeIspcTPyIhlDQ62sH8FcMIvl7x7uybt3CV9/8FyZ/\nRFktBB2tunp+n+EGmHwHyLKsRyIR9vakE2Kz2eByufaUl5fPEQQhbnU8RJTZmPgRDbGg1xcE8AC6\nL/r6Tf6WiO/X+15a+Pq1qqudu36Islezrk6SJCmxjUMNgGKzuY2NjQ12O0/HdHxsNhvcbvfB8vLy\nSwVBCFkdDxFlPp5piNIg6PW1ovvJ34DJ39I1viPe51/85/dUt8Tkjyg7VavRCa26+rmEoX3o3vN7\njBUrVtTa7fZoeiKjXNDzpK++tLT0YkEQ2qyOh4iyAxM/ojQJen1tAO7vOez3s7dy7dqGZc8899p1\nqkvih5Qo++zV4q6Arn2n91gUxTiAFrO5O3fubFMUhcWdaFBsNhucTmd9QUHBBWPHjj1qdTxElD14\nTUmURj17/u4HoGOAz9+qDeubFj/17KLrFFcbP6hE2UUDEDDU0/sM1wFw9p1rGAbC4TD3+dGAbDYb\n7Hb7YQCzJ02axKSPiI4LryeJ0izo9XVgkMmfuLG6+c1/PPnq95n8EWWdg5pcKUnSKQlDm5Ckn9/O\nnTv9TqeTZfgpKZvNBpvNdiQUCs3yeDymT4+JiPrDa0kiCwS9vk4A9wFQMcDn8MOampZFf/v7Kz9Q\nXK39doMnooxSrUbHHNaUqxKGGgGEzeYuW7bMD6ArLYFR1rHZbABw5PDhw7Nnz57NpI+ITggTPyKL\nBL2+LnQ/+VOQpLlzr/W1WwMvPfLYwhtkV7Cg/9owRJQhmnQVkqEt6D0WRVEH0Gw2NxAIxGKxGPf5\n0TFsNhsMwziyc+fOCz//+c+bvn+IiAaDiR+RhYJeXwjdyV8cAyR/G3dsb33w93947t8jtkbBxmd/\nRNkgoKtTJOlTNZp2Aig0m9ve3h7sebJDBKC7Obuu64e3b99+wXe+851Gq+MhouzGxI/IYkGvL4zu\n5C+GAZK/fYfrQ7f+4hfPfrc1un8SHFpaAiSiE7ZVjVXKhjE9YagWSc69a9eu3eZ0Ok1bPlD+sdvt\n0DStvra29oKrr766yep4iCj7MfEjygBBry+C7ibvEZhU/UvUHupSfnLrLS/PqTu6dbrhiKclQCI6\nIVvVaOlhXbmu91gUxQ4AphU8fT5fvaZp3OdHsNlshizLB7Zs2TLr2muv5fJOIkoJJn5EGaIn+fsr\ngBAGSP40XTduvfuuxWNqdq35nOYMpSVAIjpuYRgI6up5fYaPAMdu1pVlWY9EImzrkOfsdrsaiUR2\nv/fee9Ovv/76gNXxEFHuYOJHlEGCXl8U3clfJwDXQPP//LdH1zW/5118tepq54eZKDM16+pkSZKK\nE4ZqABSbzW1sbDxit/PTnK8cDocSDAY/evTRR2f/8pe/7LQ6HiLKLTy7EGWYoNcXA/AggCYABQPN\nf+mtN/xLn3hq4b/LruAwVvwkyjgb1eiEVl39XMLQPnRX8z3G8uXLt9nt9mh6IqNM4nA4YnV1dR/+\n5je/mfvss89GrI6HiHIPEz+iDBT0+uIAHgOwDUkqACb6oGZzy1/v+f2zN0TQIPBjTZRR9mpxZ0DX\nvtN7LIqiDMC0F9uuXbvaFEVhW4c843A4Qtu3b19+7733flEUxZjV8RBRbuIVIlGGCnp9etDrWwhg\nJQaR/O0/cjj889tue/aq1tjeyXCoQx8hEQ2GBiBgqFP7DB+EyV5ewzAQDoe5zy+POByOzg8//PCN\nxx577CpRFFmwi4iGDBM/ogwX9Pq8AF4GMGyguZ3hsPo/t93yyqUHj26dqTt5AUGUIQ5o8kRJkiYk\nDG1Eks/0jh07/E6n00hPZGQlh8PRvmTJkn+89NJL/8akj4iGGhM/oiwQ9PpqATyM7j5//X5uNV03\nbvvdXUtG1Wz3fUF3seInUQaoVqKjD2vKVQlDzQDCZnOXLVvmNwyDbR1ymM1mg91ub124cOEfFi9e\nfIsoilylQURDjokfUZYIen0NAP4MIIpBVPy87/G/rT/y7rJ3/0V1s+InkcWaDRVthrag91gURR3d\nBZyOEQwGY/F4nPv8cpTdboeqqo2PPPLITWvWrPlzz3uBiGjI8XqQKIsEvb5OAPcBaMAgKn4ufOft\nve/+/YmX/yPuCpTY+HEnslJQV6dIkpT4QdyFJPt3JUkK2Gys0ptrHA6H0t7evve3v/3t9x977LEX\nRFHkkl4iShteCRJlmaDXJwN4HEAtBlH0Ze2WLYHf/eb2p69tje/3GE7TEvJENPQ+UmOVsmHMSBiq\nRZLz8Nq1a7c5nfy85hKHwxHZv3//lttvv/3qN998c6XV8RBR/mHiR5SFeip+vgJgBQaR/DUFg7H/\nvuVnL03b5v/wq5qri88RiNJvqxotOazL1/Uei6LYAaDNbO6aNWsOa5rGBt45wul0drz//vve++67\n73urVq3aYnU8RJSfmPgRZbGg17cKwIsYRMVPwzDw+4ceXLPxuRdf/WHc2VLGpZ9EaRWBgVZdO6/P\ncAOAY+7FyLKsRyKR9vRERkOlp4hL8Kmnnlq0aNGi/xJFcZ/VMRFR/uKVH1GWC3p92wE8hO7P84Cf\n6ZVr1zb89pe/euq7gYj/bC79JEqrJl2dJElSccJQDYAis7kNDQ2H7XaeprOV3W43VFU9cs899zyx\nadOmW0RRbLQ6JiLKbzyjEOWAoNfXiO6KnxEA7oHmB9ol+Se33frKhM073r9Sc3Xwi4AoParV6ISg\nrn4hYWgfANMbMMuXL99mt9uj6YmMUslutyuSJPlvu+22PzU0NNwpiiKf3hKR5Xi9R5Qjgl5fF4D7\nAexHkicIiQzDwF8ef2y9+MTTC38YczSP4NcB0ZDbp8WdAV37Vu+xKIoygBazubt27ZIURWFbhyzj\ncDi6du/eXX377bf/OhqNPtLz/zERkeWcVgdARKnTU/Hz6fLL510G4MsA4gD6LRfu27zpaO2ePU/f\n+Ytffn3zmLLTttrUAdtEENGJ0QAEDXVqn+E6ALMAHNPEOxQKSaWlpWPTEBqdpJ79fIGFCxeuWLNm\nzaOiKK63OiYiokS8xU+Ug4Je34cAHgAgYxBLP9tDXcqNv/rFa8K6mlXfVl3tjiGPkCh/fazJlZIk\nVSYMbUSSAk07d+70O51O9nrLcA6HQ43H4wfvuOOO59esWXM7kz4iykRM/IhyVNDrOwrgTwD8GETL\nBwB46OmnNi155G8v/jBibyyHnRebREOgWomOOawp300YagIQNpu7bNkyv2EYXemJjE6Ew+EIffzx\nx5t+9rOf/aOlpeVuURQPWh0TEZEZJn5EOSzo9SlBr+85AG+g+4nCgC38qrdva/3ZLT9/+stHpO2z\nDWdsyIMkyjNHDRVthlrVeyyKogGg2WxuMBiMxWIxFgbJQDabDQ6Ho/Wtt9567y9/+ctzuq7f19Ob\nkYgoIzHxI8oDQa+vGt1VP2MABtzDF45GtZvvuP1N1/vrl12tuCT3wPkiER2HgK5NkSQp8Ry8A0me\nzLe3twdtNn4GM4ndbtcURTl01113vbJ8+fKXATzBIi5ElOmY+BHliaDX14ru5G8bBlH1EwD+/tIL\ntS/96S/P/qBdOXCu4eBFDVGKfKRGK2XDmJEwtA1JzskffvhhrcPhOKbwC1nD4XBEGhoattx8880L\nm5qaHhdF8e2ep7ZERBnNZhj8riLKN+WXz5sB4Nvo7h+mDzTfZrPhR9+7fsaUiy+45PUCfVTIGPBH\niKgfRbDhzuLRj8wqH/uT3rGqqqpfwOSJvMvlsj/44IM/0nV9VFqDpE+x2Wyw2WzBZcuW+d55551q\ndD/l49JOIsoafOJHlIeCXt8WAPcCCGEQSz8Nw8Cjzz+75YHf3PHkd5u7dl2mO9lUmugkRGAgqGvn\n9RlugMk+XEVR9HA4zH1+FnI4HEo0Gt1/xx13vPzOO++8BuB+Jn1ElG2Y+BHlqaDX1w7gPgA1GOTS\nz4ZAIHbjL3/xmvT2sjf/I+Y4OopfIUQnrElXJ0mSVJIwtBlAsdnchoaGww4HG61YweFwtNfW1r7/\n85///J+BQOB5URRfFUVRszouIqLjxas2ojwW9Pq0oNf3TwDPA3BhkN8Jryx+Z9+vbrnlyS/WBWq+\noLtC/CIhOn4b1ciEVl39QsLQfnQvvz7G8uXLt9lsNj5pTyO73a7pun7koYceWvj444+LhmH8RRTF\nGqvjIiI6UbxeIyIEvb4dAP4IIIhB9vzrDIfVW+++c/HWZ15c+J8Re2Ml3ox/qAAAG8ZJREFUHNz4\nR3Qc9mqyI6Br3+o97qkKedRs7u7duyVFUbi0ME2cTmdXXV3dhptuuumV3bt3rwfwZ1EUW62Oi4jo\nZDDxIyIAQNDr6wLwMIA3ATh7/juglevWNt7405uemr3r4Npvqq4O11AGSZRDdAABQ53aZ/ggknz2\nQqGQNORB5TmbzWYAaHrmmWde/tOf/vShpmlviKL4giiKrKpKRFmPiR8RfSLo9RlBr28DgN+j+wJ0\nUHv/ZEXR77zvL6vffuCh527o1OvOMJymy9WI6NP2a3KlJEkTE4Y2IclT9x07dux2Op0sxT1EnE5n\nuLm5uebmm29+obq6+gCAP4miuN7quIiIUoWJHxEdI+j1RYJe31MAnu0ZGrDyJwB8tGe39OOf3vTc\nhA1bvdcqzrYiNn4n6tdGJTL6sKZ8N2GoCd3Vdo+xfPnyfYZhdKYnsvxht9s1wzAaXnjhhZfvvvvu\n9+Px+FoAfxFFsc3q2IiIUol9/IioX+WXz3MD+AaAWQDCg/25KePGF930v//71e2jSidtsCnDhixA\noix3R1HF0qqK8V/qPa6qqvohgHFmcx944IF/dblcE81eo+PncDg69u/fX/vXv/51naZpUQDPi6JY\nZ3VcRERDgU/8iKhfQa9PDnp9r6J7/58MYFBJ3MGmxsj/3HrLK6G3l775w4itYRoc3CNDZCKga5Ml\nSUrs1bALSZZ7SpIUsNn4JP1kORwORZblgw888MAz9913X7WmabsA/JFJHxHlMj7xI6JBK798ngPA\nFwDMBRADMKgvEIfdbvvv7//rzCkzZ8x+b5hR0QSdV65EPS52FoZ+Ujjqs+NGjtoIAFVVVcMB/BpA\npO/c+fPnT7zqqqu+p6rqoIov0afZ7XYAaN20adO6Z599dpvRfRH0iiiKOy0OjYhoyDHxI6LjVn75\nvHIA1wEYC5OL02SKCwsdP/vRj+cVnX7qWe+69VEdBjtAEBXBht8Wj350dvnY/+4dq6qqug0mT9dd\nLpf9wQcf/JGu66PSGmQOcDqdUUmSDt5///3vBgIBO4B9AF4URZH9EYkoL/COIREdt6DXFyy/fN4D\nAOag+wmg1vPffoWjUe3O+/6y+pSKinU3/ujHV4TGj5m61KkOjw3uwSFRTorAQKuundtnuAHAVPR5\nqq4oih4Oh9sLCwuZ+A2S3W43DMNoeffdd71Lliw5hO5OGm+xGTsR5Rs+8SOik1J++bwSANcCOBXH\n8fQPAM6denrZDTfc8IVDo4ZPXGVXivj8j/LV9wpGHPpGwfBzBUHoAoCqqqqzAPwAJhU+b7zxxrln\nnHHGfE0b8F5LXrPZbLDb7dLBgwd3Pvzww2I0Gh0GYBuA10RRjFkdHxFRujHxI6KUKL983mcAfBXd\nvf+O66LqsxddPO7Kq77zuZrSgnGbbOqgWkcQ5RKPw63dXFh+9emjKl4DgKqqKjeAOwHE+84988wz\nhRtvvPEGVVUH1WczHzkcjkh7e3vdo48++t6RI0dUdCfQr4ii+LHVsRERWYWJHxGlTE/xlwUA5qG7\narB8PD//L1/7uueSyz87d3WRY8xeqI6Bf4IoN9gB3F005tVLKsZ+0tOvqqrqfwGMMJv/8MMP/9Bm\ns41NV3zZoqdaZ/M///nP5R988EEjuvdJrgWwRBRFPiIlorzGPX5ElDJBr08DsLL88nkfAPgyunv/\nKRjE/j8AeOntt/yvvPvO3v/5wb/Nmjtj+qwlBTorgFJe0AEEDXVqn+GDAGYDOKYVSigUkkpLS5n4\n9bDb7TAMo2Xjxo3Vzz777BbDMAoBdAJ4RBTFgNXxERFlAj7xI6IhU375vOEAvgXgDABRDLL9AwCU\nFhU5b/7Rj+cWTp1y1ntuY1SbwZv1lNu+7C5t+cEw4QJBEA4BQFVV1TgAN8Nkn98111xz7pw5c76h\naVpe3xjp2cfXcfjw4d3/v727j46qvPMA/r1z5z1kkkkmL7wqgj4gKKJQFJRcNCpbu7W1pxZa7WrV\nurZdu25Pz7E9e2y7VdfdHuWgZ3c91mpddl2k60tRK0rAGynLiwiIgD7yTkh4SUIySSaTZObO3T+e\nOyUmkzBACJnw/RzmhNzcPPPMzSQz3/s89/csXrx4VSwWswHoAFYAWGOaJt/kEBE5GPyI6KyLVFaU\nA7gdwFgAsVP53pGRiP+H99431z9u7MTVPjtSg/P7jS4NX6Wajp8HS342LVL2BAAYhqEB+CUynDAp\nLi72Pfroow9YllUwyN0cMtxud3s0Gq159tln3963b18rgDwAEupavl5hmYjofMfgR0SDJlJZcQmA\nrwEohhoBzFp+MOj+4V3fmzXy0klT/y/giuwEF7Cm4eeRYMk780pGfTn9uWEY9wMYmWnfRYsW3e3x\neMYNWueGCLfbHY/FYnVLly5d+eGHHx6FKijVAOAV0zQPnOPuERENWQx+RDSoIpUVGtR1SzdDnaE/\npQqgusul3XP7gqmXXzNr5rY8b8kGLeHnMhA0XDzgL/rsRu+IqeFw2AIAwzCuBfDXyHCi5JFHHrml\nrKxsxvnyOu52uzvi8fiRN954Y1V1dfUhAF6oAlIrAGzgtE4iov65znUHiOj80lBVbTdUVW8E8DiA\nVVBFprzZfr+VStnPLX35kx/9+McvHPufV1+5tymx5+aUJ+YFZ4BS7tuSjI/tsFMzum3ahj5eqz/4\n4INtuq73Kvwy3Oi63mVZVs3y5cv/8NBDD71UXV2drtb5IYDHTdNcP5RDnxDieiGEKYRYJYR4rdv2\nF4UQ+4QQtwxCHz48w+8fIYT4xwzb7xvo+8pFmY7DUNPf862vn28/bc0XQmwWQrwxsL2ks41TpYjo\nnDjTCqAA8Maqqv1vrKraf83l0yJ3LFgwL1pcOPo9j1XQanMMkHLTtmRH3qFU4rsjgQ0AYJpmi2EY\njVBB5wvWrl1be/vtt0ehpk4PO7quJ5PJ5NFVq1atffXVVz91RjbzAOyGuo4vem57eHJCiCCAxwDc\nKKVsE0J40l+TUt4thPjFuetd9qSUbQAezfCl7wP47SB3Zyga8sehv+dbPz/fvtwK4H4p5XkX8nMd\ngx8RnVMNVdUdAP43UlnxHoDboCqAWlAhMCvrtn3csG7bx3+YOGZs3r13f28eRpVduNJrFx/LPkMS\nDQntsNGYsqb22FwLYCJ6FHlJJBKpWCzWFAgEhlXw03Xdsizr2Lp16zYuWbJkqxP4ggCOA1iSY4uw\nXwNgtfPGGlLKk/5dE0L8DYD7AWgAXpBS/tbZ/gMAd0D9fXxRSvmCs30+gEegnh9PSSlfdbb/DOpv\n6g4AI05yn3c6/VvifH4DgOuklL90+nMXgBFSypndvuc/1QfxvvMYf+18ySuEeBLAHGf7z09y39sA\nrOy5fz/HIeP+fbR9F4BKANMB/BuAvwMwX0p54FTb7+c4ZzwOQoi7oa5pHw/geSnl0936dDUA4dx3\nJdTv9y+llAucfaoBfFlK2WcxtB7tuADcIKVM9tXPftrp6+fb1+N9Dep5fZUQYo+UcmF/7dPQwuBH\nRENCQ1V1C4DfRyorRgCYD+AKqLLsndm2sftQTezhX//qreKCAu+P7rl3TuGEi4TpR2QvLC4GTzmj\nLpW8oKmpKT8cDrc6mzYBmIYMyzocOnSoZtKkSRMtK/dPcui63pVIJOo3btz40csvv7w1mUzaUCOd\nMQCvAxjSUzr7UAIg63UEhRARAH8L4DqoN9yrhBBvSynrAHwTKgw0d9vfBeAJqJDSCWC1EOJNqFHg\nrwKYBTVK+slJ7noXgOuFELMAFEIVFPocAKSULwF4qecUTinld4UQH0op5/VoqwjAv0IV3NkKoN/g\nByDcc/+THIde+/fTtg21HuYWAPkAlgK4QggRO5X2+zjOb0kpO/s5Dv8lpXxRCOEDsBHA0936VA6g\nUkqZ/sX9TAgREUKEAIwGsLu/0NdXO/31s69GMv18T/J4bxNCvAjgN1LKnSfpIw0xDH5ENKQ0VFW3\nQY0AvgmgAuqM5ggA7dm20RiNdv3qqSff93u91Q/c8d0rb7hi2vRPgu7IJi3hHfYXRFHO25BsH3Od\nJ/hXYWCZs2k3VBGTXlasWLFt8uTJs6BGxHKSU7Tl6MqVK9cuX758lzPC54cq/PQOgD+bppmryfYY\nVGjP1ngAm6SUSQAQQqwHcAmAOgB3ArjfCUVvSCnXAogAGAPgLef7C53PI047KQCtQoiThc9dAO4G\n8BDUCbcd3do8VUeklEed/mdTvCvT/heh93G4GOo4ZGy/28gVADwppUz3/4jzsQ0qKLmR+Tj3136m\n4zwKKlT2Za4Q4ivO/fb8/VzZLfSlLYVa9/YiAL/rp93+2jmdfmaSTTu8sD4HMfgR0ZDUUFXdCeC9\nSGXFKqgqoAbUWeys1wHs6OpKLXrh+U2apm36SoUx9s6bbrq6K1xQttaH8H47yeJWNCTttrr0+pT1\njYud4GeaZsIwjGNQb76+QErZnEgkWjRNy6ngp2kadF2PtbW1Hf7jH/9orlmzptb5khdAEsBqAKtN\n08z1czXrATwhhCiQUkaFEIXdR+wy2AtghnMtoA1gNoDFACClPATgX4QQfgBrAVwFNZr4KYBbpZQt\n6UaEEC0ApjsjN0XoY0mQNClloxDiSwBeBXAQwK8BPJXF4/MKIVxOwBxIfR6HvqRHrs5S+xmPczeZ\njsNiAJcBGAdgQRZ9esW5QUqZdaGVU+znYLdDQwyDHxENaU4RmPWRyooNUNf/3Qx1JjKGDAtbZ2Lb\nNt40369503y/JpSX577rm9+aVnn5ZVMP5/sja3RrRAuLwdAQkgJQbycn9ti8D+oESK8g1NraejwU\nCpUPRt/OlKZpcLlc0aamptqXX3551fbt2487X/JCPfR1AN41TTPjCGeukVK2CyEeBrBcCJEefft2\n+po/xz8LISZJKZ90AtizAKqhRlR+J6U8DABCiEVQU+BDUNerQUppd2vfBlAnpfyOlLJBCLEcqkjQ\ndgD9hc20NgDPAYgC+GmGN/yZ/t6uBPAnIcQ+KeUDGfbL5m90r/2d/mc8DqfRfq/76+8499GfjMe5\n236ZjsNa57YFQGPPPvTslJQyPTJ7smm5fbaTRT+Bbs+3vtrKsp1cm3ZN4Dp+RJSDIpUVo6EqgU6A\nuv7gtKaBTRl/UejbCxbODo4uv+CTgLtoMxLeXJ1PRsPLLd78+nv84ZnhcPgAABiGMRLAT5DhOr+F\nCxdeVlFR8fVkMjlkp17pug7bto8fO3bswIsvvrj6wIED6cfhhipM8RGAt03TPKV1PYmGEyHE7wH8\nRErZMygSDQgGPyLKWZHKikIAtwCY4mw6rVECTdPw9RsqL7juhhuu7giHStd47HANrCH7JpqGv1JN\nx8+DJT+bFil7AgAMw9AAZCzFXlRU5HvssccesCyrYFA7mQW3292VSCQadu3a9dlLL720IRqNpn9H\nfVAjfNsAvGWaZtZTuImGG2ea7T8A+EBK+e/nuj80fDH4EVHOi1RWBADcCHXNiw+qKMRpKQqFPHfd\nvmD6uCmTL60b4Y+s0a28Nk4FpXPgkWDJO/NKRn05/blhGPejj2u1Fi1adLfH4xk3aJ3rh8vlgqZp\nLW1tbUerqqrWvffee/u6vdcIQP1+fgRgpWma8XPWUSKi8wyv8SOinNdQVR0HsDxSWfEnqIv0vwSg\nDOoN5inN3jze0pJ46vnnNgLYOG3iJQULvvWtOb6RZWM/9uvFW7WEhxGQBkt9yhrf1NSkh8Ph9HN4\nO1TFv15hqamp6VhZWdm4c3kyV9d1K5VKNdbW1u5fsmTJmoMHD3aflhqAmqb6HoAPTNPMep1OIiIa\nGBzxI6JhKVJZEQFwA9TitiFkuDYqW7rLpd12403jZ8+bNzNRkB/5xKsVbEfCk+vlBmlou9odiD0Y\nKK4cWVS8HgAMw8iHWlC517TIioqKsQsXLrwzmUx6BrOPTnXO9ng8Xr9p06bNy5Yt255IJLqfH8mD\nKmyxGsAm0zR57oSI6Bxh8COiYS1SWeGCqgY6F8AFUBXcTnsqqNfjcX3t+soLZ1075wo7XFiy26+H\nt2hJXzsLnNEAC0DDr/JK/2NmpPwH6W2GYTwMtcbdF7jdbu3pp5/+YSqVKh6Mvrnd7qRlWccbGxsP\nv/baa3/eunVrQ7cva1CBrw7ACgCf5uDC60REww6nehLRsNZQVZ0CsBPATudawNkArgRQitOYCtqV\nSKSWvfvO3mXvvrNX0zTMmzGz7Nabb57hK4mUHwn6wht1K++4zdqgdObisNGYsqb22HwIaqHpLwSp\nZDJpx2KxpkAgcNaCn67rNoDm1tbW+rVr13709ttv70omk9374YWq0LkXakmGA2erL0REdOo44kdE\n56VIZUUpTkwFzcMpLAzfl8smTCy47dZbrywYPWpMe14w/LHXDn1uJ3XObaPTdYev8MBtvtDl4XC4\nBQAMw5gM4B5kmLr84IMPXjd58uTrLWvgTjy4XC64XK62eDzeKKX8bOnSpZubm5t7Vs/NA9AKYCuA\nVazQSUQ0NDH4EdF5zZkKeinUVNB0VcQzXksslJfnvu2m+RMvm3HlFDsUitT43QVbdCvQxAqhdApm\nugPWvf7wHZcUlywFAMMwPAD+CWr9yi8QQhQ+9NBD9yWTyeCZ3q/b7e5MJBLHDx8+fHDZsmXrdu/e\nHe2xiw415bQW6vq97bx+j4hoaGPwIyJyRCorggDmAJgONRW0E8CAVB+cNWVq0fz5868oGDVqTHte\noFB6tdDndkLntYHUXb7mwjTd33q5218bcen7w5q+/gLd+3w4HK5N72MYxt8DKMz0/c8888z3NU3L\nuORDf5wiLR2JRKK5qanpaFVV1aY1a9YcyvAeIQC1XuZnAFaYpsmFpomIcgSDHxFRBk5V0NkALoEK\ngSkMwEggoEYDb7p69pjpX5o5yVdUVJzK8xfUefQRn7ntQF0qySh4HvFDw2TNnZzUZbeOzy/cUqS7\nt45xef7bq2lbw+FwxhE0wzC+CrVkSa/Cso8//vg3Q6HQpdnctzONs72rq6upvr7+8IoVKzZt2rTp\naIb3BenRvWMA1gNYz+UYiIhyD4MfEdFJRCor8qEWh78MagFtN4D2gWpf0zRcKSaF586ZM3HMRRdd\nmBqRF4r5Pfmfe7T8XXbS1cEoOCy4AYxzeTAhifayRKrdFe9otZqjxzeuW/fJO2s+aIp3dj7TUFW9\n72TtGIZRDuCnUNfVfcGCBQumGIbxjWQyqWX6Xl3XoWlaW0dHx/EjR44cWr58+aadO3c2Zdg1XZmz\nBYAEsNo0zfpTebxERDS0MPgREZ2CSGWFD8BUADMAjIGa+tYONSI4YIoLCrw3XjN7zLSrrprkDRcW\nW8FAqMbrGvGZy/YfsbmC4FDnBjBW8+BiC7HSRKpdb4+32m2xlj3y871rN244uH3vnmiP118XgB0N\nVdWvnKxtwzA0AL/I9LWioiLfY4899oBlWQV/6YvbnbJtuyUejzfX1NTsf/311zfv37+/V2h0BKGm\nN+8DUA1gD6/dIyIaHhj8iIhOk1MYZhyAWVBrBEagyuzHB/q+NE3DrClTi+fOufbi8gsvGGflBUJt\nfu+I3W7k1yHlarQtjgueI+mRvIlJxEq7Uu16PN6aao1F90i5d+3GDQd37NvbkuVrbayhqvo32exo\nGMb9UKPPvSxevPgen89XnEwmoy0tLce3bt268913390VjUZ7VuNM8zoPoxbARgAfmabZ175ERJSj\nGPyIiAaIMyX0CgBTAIyGGj2JYYBHA9PKi4p9106/snzi5EljS8rKSlN+XzDl8wUSXk/wsBu+Wl0L\n1KUSiDMSDph8zYUyTceEJGKlCavd1d7RarfGorul3PvnDesP7ty/L9uQl6ZDPU/iUAueP+usPdkv\nwzBmA/gaMkw5njt37pjGxsb2HTt2HO+nCQ9U4GuAWuey2jTNllPpOBER5RYGPyKisyBSWaFDjQbO\nADAKajQwCFURsVcp/oHk93pd08Wk8NTJk8svnDBhjD8UKkz5vYGUzxtsdev+GrcWqEPKfcxOnp1E\nmsOC0FDqcqM0pSXKLbsj30p1urqSHVpnV4erq6ujtbm5uWbf/rr1mz+qPY2QB6gpnXlQz4FjAA4C\n2AygpqGqOusF+AzDyAfwCE5t/UkfVNA8AnXd3jrTNPsLh0RENIww+BERDQJnWmgp1GjgeOf/hVBv\nxNuAwRmWG11S4r9q8qWRSyZNHlM+elS5HfAHUz5fMOXzBFpcmifqgjuqa74W2K5WO4WobfUuHZnD\nvNBQ6tJRZruSpUm7oyhld2ldiQ5XVyLu6uzqiLe2ttYerDm8d8+e+u17dzfV1tefaSVXN1Tg7wTQ\nCDWdcjOAvQ1V1WdUGdMwjIehqm32JwD13DoCYDuADaZp9nV9HxERDWMMfkRE50iksiIPKgROBVAO\noATqjXwn1MjgoNFdLm1kpMQ/tqwsOKo4kldSXl4QjkQKC8OFId3n89tutwdu3ZPyuL22rntst+6J\na5o76oInqmueFhfcLSkLUTuFs1mFVAMQgIag5jpxS9lWMGUn8mxYQRuWPwVLS6UszbKSWiqV1KyU\nBctKuhLJrkQs1nq4tvbovt17ju7Yt6d5X11dbABfBz04sc5dM04EvZ0ADjdUVQ/oSK9hGN+BWm6k\n+wPQcGJkuQ7AFgBbTNMc8OtOiYgotzD4ERENEc700DKoIDgeKgiGoN7Mt2OQRgWzoWkaikIh7wXl\nI4OjIiV5paWloaLSkoJwUVGBPxAI2poCTe1tq/9rNqA5/zRA05DeR9M0AJrzEdA0zdagaTYAK5XQ\nLMvSLCtpJ5PJeDwej7W1xVqjLbGW5qa25uZo/HhLtLO+ubmjobmps6m1NTEIr20eqJCewImQdwjA\npzgLIS8TwzAmAbgP6kSBF0DU6cNmAJ+yQAsREXXH4EdENIQ5BWMmQE0RDUMFwXyo4AGooiBZXxtG\npyUd8rqgwlUDvjiSd04ClmEYHgAPANgF4EMAjaZp8kWdiIgyYvAjIsoxkcoKN1QIHAXgQpwYGSyA\nmmroxokiMvwjn530NM0UgCRUoG7DiVG09EgeR9GIiCgnMfgREQ0jkcqKIIBiqEA4FqqATMi5eaCq\nSnZAhZvz6QXADTVqp0E99g6oYJe+HQVQAzWa13ymhVeIiIiGGgY/IqLzgFNVtBDqGsJxUCOGAagS\n/37nlv6/DhUQdahppF1Q17INpRcMDSrMuaH6qUON1qWg+tmJE6GuFeoavBqoJRSaG6qqz7RaJxER\nUU5h8CMior9wAqIfaq25IFRALHY+BnEiJKZvbqiQCKgwpvX43HY+9vV59+3db104ETgTGT5PT8Vs\nA9ACFe46nVscQEdDVTVf4IiIiBwMfkRENKAilRXpAJgOgdl+TEBNwexiaCMiIhpYDH5ERERERETD\nnOvkuxAREREREVEuY/AjIiIiIiIa5hj8iIiIiIiIhjkGPyIiIiIiomGOwY+IiIiIiGiYY/AjIiIi\nIiIa5hj8iIiIiIiIhjkGPyIiIiIiomGOwY+IiIiIiGiY+3/gvXpLaEyYGQAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x12f973a58>"
+       ]
+      }
+     ],
+     "prompt_number": 447
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "                71% of complaints are closed with an explanation via the CFPB"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Day of the Week vs. Avg. Number of Complaints"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "days = pd.DatetimeIndex(complaints.index)\n",
+      "complaints['weekday'] = days.weekday"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 435
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "company_response.plot(title='How Companies Respond', kind='pie', \n",
-      "                             \n",
-      "                             figsize=(7, 7))"
+      "weekday_count = complaints.weekday.value_counts()\n",
+      "weekday_count.index = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']\n",
+      "day_count = [5,5,5,4,4,4,4]\n",
+      "weekday_count = weekday_count / day_count\n",
+      "weekday_count.plot(kind='barh', figsize =(12,10), title='Day vs Number of Complaints', \n",
+      "                   color = sb.cubehelix_palette(7, start=2.9, rot=.6, dark=0.2, light=.89, reverse=True))"
      ],
      "language": "python",
      "metadata": {},
@@ -458,21 +564,28 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 121,
+       "prompt_number": 457,
        "text": [
-        "<matplotlib.axes._subplots.AxesSubplot at 0x1156bb048>"
+        "<matplotlib.axes._subplots.AxesSubplot at 0x12521db00>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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Wuh7fDxRFSdM7C9FUYflJUM29/m+8tKPjUI75ENF4/XVT28Labt8v9M5BNFVY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\n+AzYdzGAk6WUEQAQQhgH2e9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lvkWXhBB9AJbGRobywF9GUwbLj44c6eYms9GA8AS+cVFq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\nAHCUkw0SkS9i+CHSkN1uNwDIqqmqn1TnbDq7vq4prbG+JaqlpdXU0tJ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8AwBAI8Q7AAA0QrwDAEAjxDsAADRCvAMAQCPEOwAANEK8AwBAI8Q7AAA0QrwDAEAjxDsA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\naMT/D8s9HK9ioN3CAAAAAElFTkSuQmCC\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x114bcd278>"
+        "<matplotlib.figure.Figure at 0x125c1add8>"
        ]
       }
      ],
-     "prompt_number": 121
+     "prompt_number": 457
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "         Monday and Tuesday are clearly when people like to submit their complaints"
+     ]
     },
     {
      "cell_type": "code",
@@ -481,6 +594,87 @@
      "language": "python",
      "metadata": {},
      "outputs": []
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Submitted Via"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "submitted_via = complaints['Submitted via'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 472
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "submitted_via"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 473,
+       "text": [
+        "Web            8349\n",
+        "Referral       1603\n",
+        "Postal mail     723\n",
+        "Phone           710\n",
+        "Fax             154\n",
+        "Email             4\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 473
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "submitted_via.plot(kind='barh', title='Submit Method vs Number of Complaints', figsize=(12, 9),\n",
+      "                   color = sb.light_palette(\"navy\", reverse=True))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 524,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x1253b0cc0>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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pp4zjt1ntIrZt27bau2zO/Py8Pk2kV9Po0zT6NJ1eTaNP0+nVNPq0vjZq6N+0+02SJGcm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\n/x9QNbxr4PItkAAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x12f93f320>"
+       ]
+      }
+     ],
+     "prompt_number": 524
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "                        The Web Remains The Top Way To Submit Your Complaint"
+     ]
     }
    ],
    "metadata": {}
diff --git a/Consumer Complaints.ipynb b/Consumer Complaints.ipynb
index 5cff9ab..0fb3d15 100644
--- a/Consumer Complaints.ipynb	
+++ b/Consumer Complaints.ipynb	
@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:ca5cddf33e51d374c69c50e0664a112d1ab5660ce86979378eb121677c0a06c9"
+  "signature": "sha256:4f6daef6cb638a149a3976c3a4fd78e55a1d45b804c7d7380122be250e5584e8"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -16,21 +16,28 @@
       "Analyzing Consumer Complaint Data"
      ]
     },
+    {
+     "cell_type": "heading",
+     "level": 6,
+     "metadata": {},
+     "source": [
+      "by Nick Foster"
+     ]
+    },
     {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "Using pandas to read and analyze data from the CFPB Consumer Complaint Database. This database is a collection of all complaints made by American consumers to the Consumer Financial Protection Bureau."
+      "Using pandas to read and analyze data from the CFPB Consumer Complaint Database. This database is a collection of all complaints made by American consumers to the Consumer Financial Protection Bureau in December 2014."
      ]
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "import numpy as np\n",
+      "import pandas as pd\n",
       "import seaborn as sb\n",
       "import matplotlib.pyplot as plt\n",
-      "import pandas as pd\n",
       "pd.set_option('display.mpl_style', 'default') \n",
       "pd.set_option('display.width', 5000) \n",
       "pd.set_option('display.max_columns', 60)\n",
@@ -40,28 +47,35 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 124
+     "prompt_number": 419
     },
     {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "Importing a data set on complaints "
-     ],
-     "language": "python",
+     "cell_type": "heading",
+     "level": 2,
      "metadata": {},
-     "outputs": []
+     "source": [
+      "Importing the Consumer Complaint Database with Pandas"
+     ]
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "complaints = pd.read_csv('complaints_dec_2014.csv')"
+      "complaints = pd.read_csv('complaints_dec_2014.csv')\n",
+      "complaints.index = pd.to_datetime(complaints.pop(\"Date received\"), format=\"%m/%d/%Y\")"
      ],
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 125
+     "prompt_number": 420
+    },
+    {
+     "cell_type": "heading",
+     "level": 5,
+     "metadata": {},
+     "source": [
+      "Data Set Example"
+     ]
     },
     {
      "cell_type": "code",
@@ -87,17 +101,32 @@
         "      <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",
+        "    <tr>\n",
+        "      <th>Date received</th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "      <th></th>\n",
+        "    </tr>\n",
         "  </thead>\n",
         "  <tbody>\n",
         "    <tr>\n",
-        "      <th>0</th>\n",
+        "      <th>2014-12-31</th>\n",
         "      <td> 1177167</td>\n",
         "      <td> Debt collection</td>\n",
         "      <td> NaN</td>\n",
@@ -107,14 +136,13 @@
         "      <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",
+        "      <th>2014-12-31</th>\n",
         "      <td> 1177166</td>\n",
         "      <td> Debt collection</td>\n",
         "      <td> NaN</td>\n",
@@ -124,14 +152,13 @@
         "      <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",
+        "      <th>2014-12-31</th>\n",
         "      <td> 1177165</td>\n",
         "      <td> Debt collection</td>\n",
         "      <td> NaN</td>\n",
@@ -141,14 +168,13 @@
         "      <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",
+        "      <th>2014-12-31</th>\n",
         "      <td> 1177164</td>\n",
         "      <td> Debt collection</td>\n",
         "      <td> NaN</td>\n",
@@ -158,14 +184,13 @@
         "      <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",
+        "      <th>2014-12-31</th>\n",
         "      <td> 1177163</td>\n",
         "      <td> Debt collection</td>\n",
         "      <td> NaN</td>\n",
@@ -175,7 +200,6 @@
         "      <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",
@@ -187,18 +211,19 @@
        ],
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 126,
+       "prompt_number": 421,
        "text": [
-        "   Complaint ID          Product Sub-product                                  Issue         Sub-issue State  ZIP code Submitted via Date received Date sent to company                          Company                 Company response Timely response? Consumer disputed?\n",
-        "0       1177167  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014   Ad Astra Recovery Services Inc          Closed with explanation              Yes                NaN\n",
-        "1       1177166  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014  Unique Management Services, Inc          Closed with explanation              Yes                NaN\n",
-        "2       1177165  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014                 CL Holdings, LLC      Closed with monetary relief              Yes                NaN\n",
-        "3       1177164  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014   Enhanced Recovery Company, LLC  Closed with non-monetary relief              Yes                NaN\n",
-        "4       1177163  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web    12/31/2014           12/31/2014       Enhanced Acquisitions, LLC          Closed with explanation              Yes                NaN"
+        "               Complaint ID          Product Sub-product                                  Issue         Sub-issue State  ZIP code Submitted via Date sent to company                          Company                 Company response Timely response? Consumer disputed?\n",
+        "Date received                                                                                                                                                                                                                                                             \n",
+        "2014-12-31          1177167  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014   Ad Astra Recovery Services Inc          Closed with explanation              Yes                NaN\n",
+        "2014-12-31          1177166  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014  Unique Management Services, Inc          Closed with explanation              Yes                NaN\n",
+        "2014-12-31          1177165  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014                 CL Holdings, LLC      Closed with monetary relief              Yes                NaN\n",
+        "2014-12-31          1177164  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014   Enhanced Recovery Company, LLC  Closed with non-monetary relief              Yes                NaN\n",
+        "2014-12-31          1177163  Debt collection         NaN  Cont'd attempts collect debt not owed  Debt is not mine    TX     77068           Web           12/31/2014       Enhanced Acquisitions, LLC          Closed with explanation              Yes                NaN"
        ]
       }
      ],
-     "prompt_number": 126
+     "prompt_number": 421
     },
     {
      "cell_type": "code",
@@ -209,14 +234,14 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 108
+     "prompt_number": 422
     },
     {
      "cell_type": "heading",
-     "level": 3,
+     "level": 2,
      "metadata": {},
      "source": [
-      "Complaints by Product"
+      "Products/Services People are Complaining About"
      ]
     },
     {
@@ -231,7 +256,7 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 109,
+       "prompt_number": 423,
        "text": [
         "Mortgage                   3002\n",
         "Debt collection            2942\n",
@@ -248,7 +273,7 @@
        ]
       }
      ],
-     "prompt_number": 109
+     "prompt_number": 423
     },
     {
      "cell_type": "code",
@@ -259,7 +284,7 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 110
+     "prompt_number": 424
     },
     {
      "cell_type": "code",
@@ -270,13 +295,14 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 117
+     "prompt_number": 425
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "pc.plot(kind='barh', title='Complaints by Product', figsize=(7, 5))"
+      "pc.plot(kind='barh', title='Products vs. Complaints', figsize=(10, 9), \n",
+      "        color = sb.cubehelix_palette(11, start=.5, rot=.1, dark=.2, light=.95))"
      ],
      "language": "python",
      "metadata": {},
@@ -284,28 +310,35 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 131,
+       "prompt_number": 458,
        "text": [
-        "<matplotlib.axes._subplots.AxesSubplot at 0x115e05048>"
+        "<matplotlib.axes._subplots.AxesSubplot at 0x1243e7080>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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psZGIiIikiooXERERSRUVLyIiIpIqKl5EREQkVVS8iIiISKqoeBEREZFUUfEiIiIiqaLi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\nHnA0EAEdwEnuPlQpIDP7HvA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HnX+emQ8BI8BFwKPAPwAGa0mSJJZesN4feBBYCewH3NS07wbsC9wHbMzMTQAR8fdNv4dm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\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x115475e80>"
+        "<matplotlib.figure.Figure at 0x1307a4978>"
        ]
       }
      ],
-     "prompt_number": 131
+     "prompt_number": 458
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "                  Mortgage related issues are what people are complaining about the most"
+     ]
     },
     {
      "cell_type": "heading",
-     "level": 3,
+     "level": 2,
      "metadata": {},
      "source": [
-      "Complaints by Company"
+      "Top 10 Companies with the Most Consumer Complaints"
      ]
     },
     {
@@ -317,7 +350,7 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 112
+     "prompt_number": 462
     },
     {
      "cell_type": "code",
@@ -328,7 +361,7 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 113
+     "prompt_number": 463
     },
     {
      "cell_type": "code",
@@ -339,7 +372,7 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 114
+     "prompt_number": 429
     },
     {
      "cell_type": "code",
@@ -353,7 +386,7 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 115,
+       "prompt_number": 430,
        "text": [
         "Capital One            252\n",
         "Nationstar Mortgage    357\n",
@@ -369,13 +402,14 @@
        ]
       }
      ],
-     "prompt_number": 115
+     "prompt_number": 430
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "cc.plot(kind='barh', title='Top 10 Worst Offenders', figsize=(7, 5))"
+      "cc.plot(kind='barh', title='Companies vs. Complaints', figsize=(10, 9), \n",
+      "        color = sb.cubehelix_palette(10, start=2, rot=.3, dark=.2, light=.9))"
      ],
      "language": "python",
      "metadata": {},
@@ -383,28 +417,35 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 130,
+       "prompt_number": 460,
        "text": [
-        "<matplotlib.axes._subplots.AxesSubplot at 0x115c87d68>"
+        "<matplotlib.axes._subplots.AxesSubplot at 0x131543c18>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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A0cBk4Aozmx9WSkREREZUSz5f7hwmw6F482U96enpyS/uLb2SIiIitdbd1cGsae01OXZv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\nWram1iWI1KXurg4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JUrEMu5IkSSqWYVeSJEnFMuxKkiSpWIZdSZIkFcuwK0mSpGIZdiVJklQsw64k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\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x1156a0080>"
+        "<matplotlib.figure.Figure at 0x1305d1518>"
        ]
       }
      ],
-     "prompt_number": 130
+     "prompt_number": 460
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Bank of America has the most complaints against them at 766. However, that could be just because they have the most accounts. "
+     ]
     },
     {
      "cell_type": "heading",
-     "level": 3,
+     "level": 2,
      "metadata": {},
      "source": [
-      "How Companies Respond"
+      "How Companies are Responding"
      ]
     },
     {
@@ -416,7 +457,7 @@
      "language": "python",
      "metadata": {},
      "outputs": [],
-     "prompt_number": 61
+     "prompt_number": 432
     },
     {
      "cell_type": "code",
@@ -430,7 +471,7 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 62,
+       "prompt_number": 433,
        "text": [
         "Closed with explanation            8185\n",
         "Closed with non-monetary relief    1253\n",
@@ -442,15 +483,80 @@
        ]
       }
      ],
-     "prompt_number": 62
+     "prompt_number": 433
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.figure(figsize=[10, 10])\n",
+      "plt.subplot(111)\n",
+      "plt.title(\"Company Responses\")\n",
+      "colors = ['turquoise', 'lightgrey', 'lightgreen', 'lightskyblue', 'lightcoral', 'lightblue']\n",
+      "explode = (.05, 0, 0, 0, 0, 0)\n",
+      "plt.pie(company_response, explode=explode, shadow=True, colors=colors, labels=company_response.index.values, autopct='%1.1f%%', startangle=30)\n",
+      "plt.axis('equal')\n",
+      "plt.show"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 447,
+       "text": [
+        "<function matplotlib.pyplot.show>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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u8DoLEWUuFj+ibghXVux2xEHfP8mYPnXGV5rNzVyIiMhTX9vx/HeT0Z9/3VB/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\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x12f973a58>"
+       ]
+      }
+     ],
+     "prompt_number": 447
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "                71% of complaints are closed with an explanation via the CFPB"
+     ]
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Day of the Week vs. Avg. Number of Complaints"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "days = pd.DatetimeIndex(complaints.index)\n",
+      "complaints['weekday'] = days.weekday"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 435
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "company_response.plot(title='How Companies Respond', kind='pie', \n",
-      "                             \n",
-      "                             figsize=(7, 7))"
+      "weekday_count = complaints.weekday.value_counts()\n",
+      "weekday_count.index = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']\n",
+      "day_count = [5,5,5,4,4,4,4]\n",
+      "weekday_count = weekday_count / day_count\n",
+      "weekday_count.plot(kind='barh', figsize =(12,10), title='Day vs Number of Complaints', \n",
+      "                   color = sb.cubehelix_palette(7, start=2.9, rot=.6, dark=0.2, light=.89, reverse=True))"
      ],
      "language": "python",
      "metadata": {},
@@ -458,21 +564,28 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 121,
+       "prompt_number": 457,
        "text": [
-        "<matplotlib.axes._subplots.AxesSubplot at 0x1156bb048>"
+        "<matplotlib.axes._subplots.AxesSubplot at 0x12521db00>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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Wuh7fDxRFSdM7C9FUYflJUM29/m+8tKPjUI75ENF4/XVT28Labt8v9M5BNFVY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\n+AzYdzGAk6WUEQAQQhgH2e9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lvkWXhBB9AJbGRobywF9GUwbLj44c6eYms9GA8AS+cVFq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\nAHCUkw0SkS9i+CHSkN1uNwDIqqmqn1TnbDq7vq4prbG+JaqlpdXU0tJ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8AwBAI8Q7AAA0QrwDAEAjxDsAADRCvAMAQCPEOwAANEK8AwBAI8Q7AAA0QrwDAEAjxDsA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\naMT/D8s9HK9ioN3CAAAAAElFTkSuQmCC\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x114bcd278>"
+        "<matplotlib.figure.Figure at 0x125c1add8>"
        ]
       }
      ],
-     "prompt_number": 121
+     "prompt_number": 457
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "         Monday and Tuesday are clearly when people like to submit their complaints"
+     ]
     },
     {
      "cell_type": "code",
@@ -481,6 +594,87 @@
      "language": "python",
      "metadata": {},
      "outputs": []
+    },
+    {
+     "cell_type": "heading",
+     "level": 2,
+     "metadata": {},
+     "source": [
+      "Submitted Via"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "submitted_via = complaints['Submitted via'].value_counts()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 472
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "submitted_via"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 473,
+       "text": [
+        "Web            8349\n",
+        "Referral       1603\n",
+        "Postal mail     723\n",
+        "Phone           710\n",
+        "Fax             154\n",
+        "Email             4\n",
+        "dtype: int64"
+       ]
+      }
+     ],
+     "prompt_number": 473
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "submitted_via.plot(kind='barh', title='Submit Method vs Number of Complaints', figsize=(12, 9),\n",
+      "                   color = sb.light_palette(\"navy\", reverse=True))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 524,
+       "text": [
+        "<matplotlib.axes._subplots.AxesSubplot at 0x1253b0cc0>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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pp4zjt1ntIrZt27bau2zO/Py8Pk2kV9Po0zT6NJ1eTaNP0+nVNPq0vjZq6N+0+02SJGcm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\n/x9QNbxr4PItkAAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x12f93f320>"
+       ]
+      }
+     ],
+     "prompt_number": 524
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "                        The Web Remains The Top Way To Submit Your Complaint"
+     ]
     }
    ],
    "metadata": {}
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..129be01
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,4 @@
+ipython[all]
+matplotlib
+seaborn
+pandas