From f4682739dea335da2e953a775ddc9beb161753d5 Mon Sep 17 00:00:00 2001
From: Brian <bdeshaz@gmail.com>
Date: Tue, 26 May 2015 21:53:37 -0400
Subject: [PATCH] Brian's HW

---
 Complaints.ipynb | 1178 ++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 1178 insertions(+)
 create mode 100644 Complaints.ipynb

diff --git a/Complaints.ipynb b/Complaints.ipynb
new file mode 100644
index 0000000..327c9a7
--- /dev/null
+++ b/Complaints.ipynb
@@ -0,0 +1,1178 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 209,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import datetime\n",
+    "import matplotlib as plt\n",
+    "import us"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 210,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 211,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/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>1388734</td>\n",
+       "      <td>Mortgage</td>\n",
+       "      <td>Conventional adjustable mortgage (ARM)</td>\n",
+       "      <td>Loan servicing, payments, escrow account</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>VA</td>\n",
+       "      <td>22204</td>\n",
+       "      <td>Web</td>\n",
+       "      <td>05/22/2015</td>\n",
+       "      <td>05/22/2015</td>\n",
+       "      <td>Green Tree Servicing, LLC</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>1389303</td>\n",
+       "      <td>Consumer loan</td>\n",
+       "      <td>Vehicle loan</td>\n",
+       "      <td>Taking out the loan or lease</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>MO</td>\n",
+       "      <td>63304</td>\n",
+       "      <td>Web</td>\n",
+       "      <td>05/22/2015</td>\n",
+       "      <td>05/22/2015</td>\n",
+       "      <td>Ally Financial Inc.</td>\n",
+       "      <td>In progress</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1389676</td>\n",
+       "      <td>Consumer loan</td>\n",
+       "      <td>Vehicle lease</td>\n",
+       "      <td>Problems when you are unable to pay</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>FL</td>\n",
+       "      <td>33414</td>\n",
+       "      <td>Web</td>\n",
+       "      <td>05/22/2015</td>\n",
+       "      <td>05/22/2015</td>\n",
+       "      <td>Ally Financial Inc.</td>\n",
+       "      <td>In progress</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Complaint ID        Product                             Sub-product  \\\n",
+       "0       1388734       Mortgage  Conventional adjustable mortgage (ARM)   \n",
+       "1       1389303  Consumer loan                            Vehicle loan   \n",
+       "2       1389676  Consumer loan                           Vehicle lease   \n",
+       "\n",
+       "                                      Issue Sub-issue State  ZIP code  \\\n",
+       "0  Loan servicing, payments, escrow account       NaN    VA     22204   \n",
+       "1              Taking out the loan or lease       NaN    MO     63304   \n",
+       "2       Problems when you are unable to pay       NaN    FL     33414   \n",
+       "\n",
+       "  Submitted via Date received Date sent to company                    Company  \\\n",
+       "0           Web    05/22/2015           05/22/2015  Green Tree Servicing, LLC   \n",
+       "1           Web    05/22/2015           05/22/2015        Ally Financial Inc.   \n",
+       "2           Web    05/22/2015           05/22/2015        Ally Financial Inc.   \n",
+       "\n",
+       "          Company response Timely response? Consumer disputed?  \n",
+       "0  Closed with explanation              Yes                NaN  \n",
+       "1              In progress              Yes                NaN  \n",
+       "2              In progress              Yes                NaN  "
+      ]
+     },
+     "execution_count": 211,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data = pd.read_csv(\"consumer_complaints.csv\", low_memory=False)\n",
+    "data.head(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 212,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "data.index = pd.to_datetime(data.pop('Date received'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 213,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Complaint ID</th>\n",
+       "      <th>Product</th>\n",
+       "      <th>Sub-product</th>\n",
+       "      <th>Issue</th>\n",
+       "      <th>Sub-issue</th>\n",
+       "      <th>State</th>\n",
+       "      <th>ZIP code</th>\n",
+       "      <th>Submitted via</th>\n",
+       "      <th>Date sent to company</th>\n",
+       "      <th>Company</th>\n",
+       "      <th>Company response</th>\n",
+       "      <th>Timely response?</th>\n",
+       "      <th>Consumer disputed?</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date received</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-05-22</th>\n",
+       "      <td>1388734</td>\n",
+       "      <td>Mortgage</td>\n",
+       "      <td>Conventional adjustable mortgage (ARM)</td>\n",
+       "      <td>Loan servicing, payments, escrow account</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>VA</td>\n",
+       "      <td>22204</td>\n",
+       "      <td>Web</td>\n",
+       "      <td>05/22/2015</td>\n",
+       "      <td>Green Tree Servicing, LLC</td>\n",
+       "      <td>Closed with explanation</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-05-22</th>\n",
+       "      <td>1389303</td>\n",
+       "      <td>Consumer loan</td>\n",
+       "      <td>Vehicle loan</td>\n",
+       "      <td>Taking out the loan or lease</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>MO</td>\n",
+       "      <td>63304</td>\n",
+       "      <td>Web</td>\n",
+       "      <td>05/22/2015</td>\n",
+       "      <td>Ally Financial Inc.</td>\n",
+       "      <td>In progress</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-05-22</th>\n",
+       "      <td>1389676</td>\n",
+       "      <td>Consumer loan</td>\n",
+       "      <td>Vehicle lease</td>\n",
+       "      <td>Problems when you are unable to pay</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>FL</td>\n",
+       "      <td>33414</td>\n",
+       "      <td>Web</td>\n",
+       "      <td>05/22/2015</td>\n",
+       "      <td>Ally Financial Inc.</td>\n",
+       "      <td>In progress</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               Complaint ID        Product  \\\n",
+       "Date received                                \n",
+       "2015-05-22          1388734       Mortgage   \n",
+       "2015-05-22          1389303  Consumer loan   \n",
+       "2015-05-22          1389676  Consumer loan   \n",
+       "\n",
+       "                                          Sub-product  \\\n",
+       "Date received                                           \n",
+       "2015-05-22     Conventional adjustable mortgage (ARM)   \n",
+       "2015-05-22                               Vehicle loan   \n",
+       "2015-05-22                              Vehicle lease   \n",
+       "\n",
+       "                                                  Issue Sub-issue State  \\\n",
+       "Date received                                                             \n",
+       "2015-05-22     Loan servicing, payments, escrow account       NaN    VA   \n",
+       "2015-05-22                 Taking out the loan or lease       NaN    MO   \n",
+       "2015-05-22          Problems when you are unable to pay       NaN    FL   \n",
+       "\n",
+       "               ZIP code Submitted via Date sent to company  \\\n",
+       "Date received                                                \n",
+       "2015-05-22        22204           Web           05/22/2015   \n",
+       "2015-05-22        63304           Web           05/22/2015   \n",
+       "2015-05-22        33414           Web           05/22/2015   \n",
+       "\n",
+       "                                 Company         Company response  \\\n",
+       "Date received                                                       \n",
+       "2015-05-22     Green Tree Servicing, LLC  Closed with explanation   \n",
+       "2015-05-22           Ally Financial Inc.              In progress   \n",
+       "2015-05-22           Ally Financial Inc.              In progress   \n",
+       "\n",
+       "              Timely response? Consumer disputed?  \n",
+       "Date received                                      \n",
+       "2015-05-22                 Yes                NaN  \n",
+       "2015-05-22                 Yes                NaN  \n",
+       "2015-05-22                 Yes                NaN  "
+      ]
+     },
+     "execution_count": 213,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.head(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 214,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "data = data[['Complaint ID', 'Product','Sub-product','State','ZIP code','Company','Company response']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 215,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "data = data['04/30/2015':]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Number of Complaints by Month"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 216,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "comp_by_month = data['Complaint ID'].resample('M', how='count')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 217,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x10d829c50>"
+      ]
+     },
+     "execution_count": 217,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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gsnaEb1eSM5J8K8m+JA8muW45u2U9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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x10d82ec88>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "comp_by_month.plot(kind=\"bar\", figsize=(15, 6))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Number of Complaints by Product"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 218,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Mortgage                   145199\n",
+       "Debt collection             64217\n",
+       "Credit reporting            55956\n",
+       "Credit card                 49125\n",
+       "Bank account or service     45330\n",
+       "Consumer loan               12943\n",
+       "Student loan                11725\n",
+       "Payday loan                  2499\n",
+       "Money transfers              2186\n",
+       "Prepaid card                  669\n",
+       "Other financial service       202\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 218,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "products = data['Product'].value_counts()\n",
+    "products"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 219,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x10da29198>"
+      ]
+     },
+     "execution_count": 219,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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PLwV2lbSqpNWAXYAfD6OsZmZmZo23uGkvzgJ+AbxA0p2S3gZMBXaRdBvwmrJNRNwMnAvc\nDFwCTImFzW9TgFOAOcDtETG97D8VWEPSHOADQK+V7QHgs+RIy9nAp2OAEZbjXf/m8jbrSixdiQMc\nS1N1JZauxAGOpanaFsugOWQRceAintp5Ea8/BjhmgP3XAlsNsP8xYL9F/K3TgdMHK5+ZmZlZF3gt\ny1HjHDIzMzPrayRzyMzMzMxsBLlC1mJt6x8fTFdi6Uoc4FiaqiuxdCUOcCxN1bZYXCEzMzMzq5lz\nyEaNc8jMzMysL+eQmZmZmTWUK2Qt1rb+8cF0JZauxAGOpam6EktX4gDH0lRti8UVMjMzM7OaOYds\n1DiHzMzMzPpyDpmZmZlZQ7lC1mJt6x8fTFdi6Uoc4FiaqiuxdCUOcCxN1bZYXCEzMzMzq5lzyEaN\nc8jMzMysL+eQmZmZmTWUK2Qt1rb+8cF0JZauxAGOpam6EktX4gDH0lRti8UVMjMzM7OaOYds1DiH\nzMzMzPpyDpmZmZlZQ7lC1mJt6x8fTFdi6Uoc4FiaqiuxdCUOcCxN1bZYhl0hk/QJSb+VdKOk70la\nUdLqkmZIuk3SpZJW7ff6OZJukbRrZf+25W/MkXRCZf+Kks4p+2dJ2nD4YZqZmZk117ByyCRNAH4C\nbBYRj0k6B7gY2AK4LyKOk/RxYLWIOELS5sD3gO2A9YDLgIkREZJmA4dHxGxJFwMnRsR0SVOALSNi\niqT9gX0i4oAByuIcMjMzM2uFkc4hexh4HHi6pOWApwN3A3sCZ5TXnAHsXR7vBZwVEY9HxFzgdmCS\npHWAlSNidnndmZXfqf6t84CdhllWMzMzs0YbVoUsIh4A/hv4E1kRWxARM4C1ImJ+edl8YK3yeF3g\nrsqfuItsKeu/f17ZT/n3zvJ+TwAPSVp9OOXtqrb1jw+mK7F0JQ5wLE3VlVi6Egc4lqZqWyzLDeeX\nJG0MfACYADwE/I+kt1RfU7ojx2RODUnTgLllcwFwfUTMLM9NLuWZufA3ZgKTK48Zhe2nytbn/b09\n8HZX/r+AbSQ1pjze7tbxVba3oZxoGlKecb/d05Ty+Phq1vm4mEzWmRZpuDlk+wO7RMQ7yvZBwPbA\na4BXR8Q9yu7IKyJiU0lHlEJOLa+fDhwF/LG8ZrOy/0DglRFxWHnN0RExS9kt+ueIWHOAskQ4h8zM\nzMxaYFH1luHmkN0CbC9pJUkCdgZuBi4CDi6vORi4oDy+EDhA0gqSNgImArMj4h7gYUmTyt85CPhB\n5Xd6f2tf4PJhltXMzMys0YabQ/YbMgH/V8ANZfc3ganALpJuI1vLppbX3wycS1baLgGmxMKmuSnA\nKcAc4PaImF72nwqsIWkO2T16xHDK2mX9m8vbrCuxdCUOcCxN1ZVYuhIHOJamalssw8ohA4iI44Dj\n+u1+gGwtG+j1xwDHDLD/WmCrAfY/Buw33PKZmZmZtYXXshw1ziEzMzOzvkY6h8zMzMzMRogrZC3W\ntv7xwXQllq7EAY6lqboSS1fiAMfSVG2LxRUyMzMzs5o5h2zUOIfMzMzM+nIOmZmZmVlDuULWYm3r\nHx9MV2LpShzgWJqqK7F0JQ5wLE3VtlhcITMzMzOrmXPIRo1zyMzMzKwv55CZmZmZNZQrZC3Wtv7x\nwXQllq7EAY6lqboSS1fiAMfSVG2LxRUyMzMzs5o5h2zUOIfMzMzM+nIOmZmZmVlDuULWYm3rHx9M\nV2LpShzgWJqqK7F0JQ5wLE3VtlhcITMzMzOrmXPIRo1zyMzMzKyvRdVblqujMDYysnI5+lyxNDMz\nG13usmy9GOWfsdG2vv5F6Uoc4FiaqiuxdCUOcCxN1bZYhl0hk7SqpO9L+p2kmyVNkrS6pBmSbpN0\nqaRVK6//hKQ5km6RtGtl/7aSbizPnVDZv6Kkc8r+WZI2HH6YZmZmZs017BwySWcAV0bEaZKWA54B\n/CdwX0QcJ+njwGoRcYSkzYHvAdsB6wGXARMjIiTNBg6PiNmSLgZOjIjpkqYAW0bEFEn7A/tExAED\nlGPc5pCNTSzOhTMzMxspIzoPmaRnATtGxGkAEfFERDwE7AmcUV52BrB3ebwXcFZEPB4Rc4HbgUmS\n1gFWjojZ5XVnVn6n+rfOA3YaTlnNzMzMmm64XZYbAX+RdLqkX0v6lqRnAGtFxPzymvnAWuXxusBd\nld+/i2wp679/XtlP+fdOyAof8JCk1YdZXmu4tvX1L0pX4gDH0lRdiaUrcYBjaaq2xTLcUZbLAS8m\nuxqvkfQV4IjqC0p35JhkhUuaBswtmwuA6yNiZnlucinPzIW/MROYXHnMKGw/VbY+7z/S26NX/t52\nvudolb//F2a0/79G//NgG0mNKY+3u3V8le1tKF/UhpRn3G/3NKU8Pr6adT4uJgMTGMSwcsgkrQ38\nMiI2Kts7AJ8Ange8OiLuUXZHXhERm0o6ohRyann9dOAo4I/lNZuV/QcCr4yIw8prjo6IWcoctT9H\nxJoDlCXCOWSj+S7OITMzMxshi6q3DKvLMiLuAe6UtEnZtTPwW+Ai4OCy72DggvL4QuAASStI2giY\nCMwuf+dh5QhNAQcBP6j8Tu9v7QtcPpyympmZmTXd0sxD9l7gu5J+A2wNfB6YCuwi6TbgNWWbiLgZ\nOBe4GbgEmBILm+amAKcAc4DbI2J62X8qsIakOcAH6Nclat3Sv+m/rboSBziWpupKLF2JAxxLU7Ut\nlmHP1B8RvyGnsehv50W8/hjgmAH2XwtsNcD+x4D9hls+MzMzs7bwWpajxjlkZmZm1tei6i1ey9Ia\nQV6X08zMxjGvZWkN0v51OduWszAYx9JMXYmlK3GAY2mqtsXiCpmZmZlZzZxDNmqcQzakd+lQLGZm\nZosyovOQmZmZmdnIcYXMbAS1LWdhMI6lmboSS1fiAMfSVG2LxRUyMzMzs5o5h2zUOIdsSO/SoVjM\nzMwWxTlkZmZmZg3lCpnZCJIUY/UzBrFMHu33GCuOpXm6Egc4lqZqWyyeqd9sxI1Nl7iZmXWHc8hG\njXPIhvQuHYmlS8eXmZmNPOeQmZmZmTWUK2RmNqC25V8MxrE0T1fiAMfSVG2LxRUyMzMzs5o5h2zU\ndCVfyTlkQ3qHzh1fY8P5cGY2Xiyq3uJRlmY2CI8YNTMbC+6yNLPOa1suyWC6EktX4gDH0lRti2Wp\nKmSSlpV0naSLyvbqkmZIuk3SpZJWrbz2E5LmSLpF0q6V/dtKurE8d0Jl/4qSzin7Z0nacGnKamZm\nZtZUS9tC9n7gZhb2axwBzIiITYDLyzaSNgf2BzYHdge+LqnXT3EScGhETAQmStq97D8UuL/sPx44\ndinLambjVETMrLsMI6UrsXQlDnAsTdW2WIZdIZO0PvA64BQWJoHsCZxRHp8B7F0e7wWcFRGPR8Rc\n4HZgkqR1gJUjYnZ53ZmV36n+rfOAnYZbVjMzM7MmW5oWsuOBjwJPVvatFRHzy+P5wFrl8brAXZXX\n3QWsN8D+eWU/5d87ASLiCeAhSasvRXnNbJxqWy7JYLoSS1fiAMfSVG2LZVijLCW9Abg3Iq5bVMAR\nMSYLIJfyTAPmls0FwPW9pspe+fo2Xc4EJlceMwrbT5Wtz/uP9Pbolb+3ne85WuX/1+NndOMZ/c+j\n956jU/7uHV9jE89o//0x3t6m9x/XkPKM++2eppTHx9dT5+NtJNVenmIyMIFBDGseMknHAAcBTwBP\nA1YBzge2AyZHxD2lO/KKiNhU0hGlkFPL708HjgL+WF6zWdl/IPDKiDisvOboiJglaTngzxGx5gBl\nGXA+j0HK3rF5oto/dxd0JxYfX8N6J89DZmbjxqLqLcPqsoyIIyNig4jYCDgA+ElEHARcCBxcXnYw\ncEF5fCFwgKQVJG0ETARmR8Q9wMOSJkkSWcn7QeV3en9rX3KQgJmZmVnnjNQ8ZL3b6KnALpJuA15T\ntomIm4FzyRGZlwBTYmHT3BRyYMAc4PaImF72nwqsIWkO8AHKiE0zs6FaVGpFG3Ullq7EAY6lqdoW\ny1LP1B8RVwJXlscPADsv4nXHAMcMsP9aYKsB9j8G7Le05TMzMzNrOq9lOWq6kuPjHLIhvYOPr+G8\nk3PIzGzcGNEcMjMzMzMbOa6QmVnntS2XZDBdiaUrcYBjaaq2xeIKmZmZmVnNnEM2arqS4+McsiG9\ng4+v4byTc8jMbNxwDpmZmZlZQ7lCZmad17ZcksF0JZauxAGOpanaFosrZGZmZmY1cw7ZqOlKjo9z\nyIb0Dj6+hvNOziEzs3HDOWRmZmZmDeUKmZl1XttySQbTlVi6Egc4lqZqWyyukJmZmZnVzDlko6Yr\nOT7OIRvSO/j4Gs47OYfMzMYN55CZmZmZNZQrZGbWeW3LJRlMV2LpShzgWJqqbbG4QmZmZmZWM+eQ\njZqu5Pg4h2xI7+Djazjv5BwyMxs3nENmZmZm1lDDqpBJ2kDSFZJ+K+kmSe8r+1eXNEPSbZIulbRq\n5Xc+IWmOpFsk7VrZv62kG8tzJ1T2ryjpnLJ/lqQNlyZQMxu/2pZLMpiuxNKVOMCxNFXbYhluC9nj\nwAcjYgtge+A/JG0GHAHMiIhNgMvLNpI2B/YHNgd2B74uqddcdxJwaERMBCZK2r3sPxS4v+w/Hjh2\nmGU1MzMza7QRySGTdAHwtfLzqoiYL2ltYGZEbCrpE8CTEXFsef104Gjgj8BPImKzsv8AYHJEvKe8\n5qiIuFrScsCfI2LNAd7bOWSjyjlkQ3oHH1/DeSfnkJnZuDFqOWSSJgAvAq4G1oqI+eWp+cBa5fG6\nwF2VX7sLWG+A/fPKfsq/dwJExBPAQ5JWX9rympmZmTXNUlXIJD0TOA94f0Q8Un0usumt3UM4zawT\n2pZLMpiuxNKVOMCxNFXbYlluuL8oaXmyMvbtiLig7J4vae2IuEfSOsC9Zf88YIPKr69PtozNK4/7\n7+/9znOBu0uX5bMi4oFFlGUaMLdsLgCuj4iZ5bnJAL3tNBOYXHnMKGw/VbY+7z/S26NX/t52vudo\nlf9fvzCjG8/ofx699xyd8nfv+BqbeEb774/x9ja9/7iGlGfcb/c0pTw+vp46H28jqfbyFJOBCQxi\nWDlkkgScQSbdf7Cy/7iy71hJRwCrRsQRyqT+7wEvJbsiLwOeHxEh6WrgfcBs4EfAiRExXdIUYKuI\nOEyZW7Z3RBwwQFmcQzaqnEM2pHfw8TWcd3IOmZmNG4uqtwy3QrYD8FPgBhaesT9BVqrOJVu25gL7\nRcSC8jtHAm8HniC7OH9c9m8LTANWAi6OiN4UGisC3ybz0+4HDoiIuUsa2CBl78xFpiuVGOhOLD6+\nhvVOrpCZ2bgxohWyJnGFrP2VGOhOLD6+hvVOYxHLU93ubdeVWLoSBziWpmpqLIuqt3imfjMzM7Oa\nuYVs1HSlBcMtZEN6Bx9fw3knd1ma2bjhFjIzMzOzhnKFzMw6r//0BG3WlVi6Egc4lqZqWyyukJmZ\nmZnVzDlko6YrOT7OIRvSO/j4Gs47OYfMzMaNRdVbhj1Tv5lZW2TlcvS5Ymlmw+UuSzMbJ2KUf8ZG\n2/JiFqUrcYBjaaq2xeIWMjOzdrkiV68bXW7tMxtbziEbNV3J8XEO2ZDewcfXcN6pI7H4u2Jmi+d5\nyMzMzMwayhUyMzMbc23L7xmMY2mmtsXiCpmZmZlZzZxDNmqcFzOkd+lILD6+hvVOHYnF3xUzWzzn\nkJmZmZk1lCtkZmY25tqW3zMYx9JMbYvFFTIzMzOzmjmHbNQ4L2ZI79KRWHx8DeudOhKLvytmtnjO\nITMzMzNrqMZXyCTtLukWSXMkfbzu8piZ2dJrW37PYBxLM7UtlkZXyCQtC3wN2B3YHDhQ0mb1lsrM\nzEbAFZJiLH7GIJZtxuA9xopjqUmjK2TAS4HbI2JuRDwOnA3sVXOZzMxsRMQY/IyJ4ztSsQRYdYze\nZyy0KpamV8jWA+6sbN9V9pmZmTVIJyqWVqOmV8h8FJqZmY2dozrU2jdhjN5nRCxXdwEWYx6wQWV7\nA7KVrI+hf7hjM5p7bA660Y9l7L48XYnFx9eQ36Ujsfi7MuR3Gf23oDuxjGFFZtSNVSySDh6L9xkJ\njZ6HTNJywK3ATsDdwGzgwIj4Xa0FMzMzMxtBjW4hi4gnJB0O/BhYFjjVlTEzMzPrmka3kJmZmZmN\nB01P6h9uqus+AAAgAElEQVQzkvx/0RKSWrOki6RVynx61nBtOq7MrHtcCSki4sm6y2AD61WWJb1M\n0jOi0qzb5IuopDWAacA7JW0laYWaizSmmvzZDCQiQtLydZdjaUh6hqQV6y6H/StJy5bzQKs+H0mT\nJJ0jaR9Jz6i7PGNprBtqxmWXpVRW9sxBA3sA7wV+Bny2TEDbapKWjYh/SnohsDdwH/Br4A7gwYj4\nR60FHILKZ7U6cBuwIvADMp/winpLNzhJKwFvBPYBng/8BTgN+CXwJ7IO0MkvYOVzexrwsrL7yqbd\n+FS+K68iJ51+ELidHEw0NyIeqLWAS0DSciXfdi9yVZOXkTGcEREX1Vu6JVf5LNYFXgCsQ35nfhMR\n99ZbuuGrxPUOYLeIeJOkdYAXAX+PiJn1lnBwytVxXge8BHgWcA1wRdPLPRySlomIJyU9F9gU2Bq4\nISIuHZP37+j1YFCVL8i7gO2A3wIHRcS2krYl/19+VW8ph69yMbwS+B2wOlmRmQfcBFwYEf8yfUgT\nVS42B5OVmuvIC85BwGPACcC0Jl84JX0ReAJ4GrBJ+ZkFfDEibqizbKOh30ntRGAuefHZFVgF+EdE\nPFRjEZ/S77tyDfA4WcZ/AguA8yPi+jrLuDiVGH4FnAxcSd4E7AlsARweEd+ts4xLonJe/jawIXmu\nehT4B1kx+3FE3FRnGYej8n24BDgOuBo4iZwj61fAcRExv8YiLlZpvPgSeQ6+E3g2+R25ETg5Iu6v\nsXgjpnIMnkYec7sBX4uIUyRtBfwhIv46Wu/f6FGWo6h3l/5a4NPAG4Bzyr7dyBPyr3onuhrKN2yV\nk/MGwN8i4j1l/wbkXc4ewIw6yzgUEfFEefgfwEcj4krgfEmfA04F/h3YXNI7m/hZSVoT2CMiNq3s\nOxD4PPD/aivY6Op1VR5GVg4eAtaJiMfK3fbW5Bq1tap8V9YD7omIj5T9a5GV/slkpayxKjGsQV7c\nvxcRfycv/MdJmkROGdR45UK4PPDMiHhlaRV/IXkDszV5U0nbzsulMrYieSw9AziPbOU/HPghsDEw\nv4lx9Soo5HVxm4iYLOk5wEbAp4BJdOg8Vo7BZwHbR8TmysXJryxPfwo4lvyejYpxmUNW6a78DfkF\neT3w5fL0LsBl5XGrcmD62RbYQNIhklaNiDsj4hsR8YaImFN34YainKRnAtv1EuRLC8sKZDfT2mQL\nTBM9DZgr6Y2SVin7/hf4bUTMqrFco6acwAHWBb5DdnX0WmjeVPY3yY7AqyR9TNLqETE/Ii6IiA9E\nxNy6C7eE/g14BfBJSetJWqlc4K+OiDsX98t1q+Tq7AasI+kFEfFARFwREd8AvkimXdC0SstgKnFt\nRFbC/g24LiJOBlYGVo+IX0Az46p8l1cGbij77o2Iq4HvkbEsaFu+6GKsDfy4pAAsiIg55cb6BaPd\nczZeW8h6c5ydS14wJgCvlvRq4MmIuKy8plH5Lkui8qX+J5kXtzuwraQ7yBPaT/u9rvEi4nFJpwJf\nBV4u6adkjsnTyPy49SLi13WWsb/K3e7TgW+RFZE1SmL/rmQ3XtedCVwIPA/4TLk4vYrMq6td5Ttw\nC/B1YAdgR0m3k9+TC/q9rnEqZfsJsBI5ifap5CTaP5f0s4j4W13lW1KVc+3/kd/rmZIuB86OiB9G\nxNxy/DT2s1iEXnlPJFv5fwg8XmLZHzgbFqZm1FPEwZXGi9uAIyVdSPYmXQW8jVJ+snHnnwP/hda5\nrfx8BZghaSfyOjp7tN94XOaQAUh6HdkUKeBQ8iJ5EXBVRPy20lTbapJeDkwENiMXZn9/k/OtBlJO\nXquSXV97kC0BV5N5WDsAO0fEO+orYV+VbqRNgW9HxHaS9iGPsQVkbszlEXFPrQUdBZXYVy13zm8i\nc5nWJ28AL46IL9RbyoGVAQjbky1m2wNviwYnky+qi0vS1uQNwM7AnhHxlzEv3FIqXdt7kT0WE4Gd\nWtiyX00fOR3YvVrpkjQBeCAiHm5yd6WkA4DVIuIkSe8kj6sXAt8ETujIdbL3WT2dvNb8lWzNfAGw\nFXA5mQ4wqufscVUhqyRXrgOcAvyNTOS9KCJuqbd0S6/yBXo58A5yRMz/kgfTw8Bmo93kOlIqsWwP\nvB1Yi0zw/V9gRi+JVNKzgX9GxIP1lbavynH2DuDFETGl8txKEfF/NRZvTEj6b+B4YD7ZQvZ3skGn\nEYNJ+n1X9iRH9J1WchTpVShrLeRiVGJ4G7A5eSH5A9m6N4ts7W98K38ljtXIvL0HgGsi4u+lK+wl\nEXFNrYUchspFfm/gKHLk66nAjRExr97SLV6l/EcAd0fEmcpph/7WO8fVXcaRooWDx44iR75+sexf\nG7hvrFovx1sOWS/et5EtFfOB5YFjJZ0i6SBJz6ytdEupnNQEnEHmK1xGNrX+ghZVxorencIHyMrk\nkWQy7E5kM/KnACLiviZVxqBP98t6wBslfUPSa8tFvrOVsV5+n6R9ga0i4q6IeDwibiVvfhozh1Hl\nu3Ia2TK+BzlY5D5J36IFXWMlhmWAD7Lwu742mXh8NllJa4Pe9+W7ZOv3FcBsSaeQXdyNSkdYUv26\nxI8Cfk8OJDtM0kckrV9b4ZZAqYw9h+xBeoOkdXrd312qjEGfwWO7U1IVSiXtHmBn5VQso25c5ZBV\n/tPfAWxSasTrkc2TryE/jMeBs5vYhDyYyh3LrsCtEfGD8tRJkvYH9pd0bRtiKv/3T5YL/C3A6RHx\nR0m3AdPJFpe/ltc2smu55F2cD1wLvJQyDYGkucDx0aK54IbhZZSRvJJWjohHyO/WFsB/1lkw6PNd\n2Y+8WfkD8KuI2FXSiWSXTCPzeXoqMexBdt//HJgXEe+T9F9kV8utdZZxSVRak7cBVoyIjyjnhHs/\n2cJ6PjnCshEtq0uqXwvS38jP4jLgxWQ8m5IpGI1VKvsPkaModweuknQVWXG+vA3XkqEoXct/Z2Eu\nXO/fL5MV6VE33lrIUA6l/jU5BQQRMS8iTgTWJJMVD5G0VtsOtsqX/0HgydIi0xvVF2QLWStiqpTz\nDcBHgc+Vz+TxiHg4Iq6PiNvLaxtVGSutLr3K/4NkztSnyGkIfg38tauVscpnMQPYRtKGpTIG8GZy\nzqLaVb4rq5AjxXYhW8shJ+39ZjQ8Eb4SwwrAWWTLca8l6cZ8SfMnua7E8TrgIklvAG6PHHn4YXIC\n6Lt636sWEYCk44APkfNBvikifhYRXyen8HmkyXFFxJMR8VhEfCUididvVO4Avg18pN7SjbzI0ciX\nAJ8trZdPkzQFuDMi/jgWZRhXOWQ9JUnxPeSd5d/I0UnPBw4BZkXEVvWVbuiUcxA92ruIlMTL3cgT\n9JrklBDHxBjNNry0JD2fnIDvn5L2BN5CTuB7PZlDdjbweFMrmOUk+xVyqPiLyePslIi4pm0tr0tK\n0g7kjOqPlO2pZEXnWrKrcsWI2LfGIg5IOT/URuQF5gZyJNyREXFerQUbIuWSNj8nez0eAb4QERfW\nW6olp1zVYiUyWfz95AjdQ4CZEfHlNuUsVXKvVgRmR8QLJc0E3hsRN0r6OpkM38gWzH651m8hp6n5\nPRnL7PKap0XEo236XAZSGi32j4hvKecf+yfZin8I8EdyZOUPx+raOS4rZADKGflfRM7XdQ85YuTf\ngRUi4pg6yzZUJal3ARnHhIg4S9ImZKXsMXKumFYkxZbK2OvIaQh2BX4ZEQ9KWhU4kDxZvy0ifllj\nMQdUSU7en1yy6hvAVDLJ+lByhuuXjFWC6FiS9FHyM3s/OaXH/5D5TDuSXYI3RwNm569eQCRNJBPI\nIRP7J5LzwzV6VvvKBXM1YAPyZuUWsvK7O3lzNr3OMg5XqZgdSnZvrwK8LyLub+ONjKRdyVSF/wec\nFBE7ljSMG4AXNbWlvHIe+zp5TXkFsAZwLzmw6jsRcX6dZRwpkl4APIesfH2RbN3/UUT8WdL6McaD\nkMZFhaxygG1KDmVdkxx5eEdE/La8RuTJ7Opo37QQvWbv15OzCYtsev1u7y6sLSc05dQDa5BfkqnA\nHHJOmKuBa5tcmancGf8vuczIK8muo6mSjiG7Yk6rt5Qjrxx/zyDnkHoXC0/g15DzLv26KZ9b5TP6\nHFnOtclJh8+LMv9g01ViOI08l80hB5DcDRwREY/VWsAlVDkv70Ku6vAYmdP3M/K70mttbcW5q0fS\nv5Hn38fIbtc9yRG8pykHI20cEQc3Nf+1R9KsiNhe0vlkpfKf5FyQH46IS9veOlZV6gavIlvL1yZv\n1H4HXDpW3ZUwfnLIel/mk8lFnfcEPgOcIelbkraMdEnbKmPwVM7VWmSi+w5kt8tKwJmSbpW0XltO\naBHxaOSQ8MfIk/QscumU/wC+KemldZZvMOUiuQyZY/Ebsqm/1yr0UrLZv5Mi13d7IXAxOU3JVPJu\n+r/I1ufaVSoymwD7RMSryRa864CTJb2+3hIuXrkIhnKerm0jYg/gc8AnyWkv3tXkvKSqUhlbiVzX\n8RvApcBzgWlk4nvvda04dwFIegVwYOTyVa8jk/kfBaZK+j45CfkJ9ZVwyUjaCPhpybleLSIuj1xM\n/EGyJRZaMBJ5ML3vSTkGt49cEeKz5PF3K9nyvNqYlqlFx/qwVE7C6wPnRMQrJM0mu/P2BT4G7B05\nGWzravylyfVPwHvJ+VO+pr7z+jy/Rd2VK5PdFFuSOTAvrjy3BdmCeVZE3N20u+ZKN9LyUZKpS7f4\nZ8guu5dX4+mikje2GXBURFyvnEJmfXI+rNvqLV2fFpmDgDdExP6V5yYD746IA2sr4BAoZw8/OCLe\n2m/f+yNiz/pKtmQq35c3AIdU8wslvRXYMiI+Vl8Jh0c5EfLBZP7ushHxn2X/JmTL2CV1lm8olCPF\nlyEHJO1MDhZZOSLe0MZr5aJI2pgc3LOAHGxxg3KC2PXH+rzV+RayykV7M+BHkrYEHo6cu+r7wE29\nbsuWHmAbkysOHA2sLWmFSjP4G2nXZ7wxOSXJF4BbJa2vHIoMmb9wbUTcDY28a+6V5+xSESMiriW7\nLi8iK5Nd93nyQvRRSTtGxF8j4pYmVMagzyjQy8nla96pXPfxueR35fb6SrdkSqI4ZDfrepJmKter\n3ZCcnf+m2go3BLFwWpv5wOqS3qqcggjynLUx9FkLsi1+TLaOHwkcKukzkjaKiNuaXhmrtBitIOlw\nYJWS5/Zx8rt9ZXkM7V7nuY+I+H1ETCKnWHmXpC0i4u91nLc630IGfVrJlgdWJ0fALU/OZH99RHy0\n6f35g5G0I9kSM4/sNrqVTKr+BLDXWPaBLy3lzPzHk/kw95Ktf7OBT5Mz9H+6aXdnlbv9TYEzImKS\n+iaPPy8i7qi5mKNKlbX4SgvUm8kJFr9dum9qJek15E3ZtMiZxrcnR1b2ToCPAx+KBi9nJekl5JJO\nvyLzWx4h51LbmZz24pvklB3311bIJaCcbPT+3vlWOZHwbuRcY1uR5+WjIuIXbT0vSzqJHCn6ceDV\nZCv5GRFxfNNa93sqLcjvAnaJiDf16215JBqSC7q0qp9BaQ0jcmWIT5EtnFPJc8WYTh3T6YlhKxfF\ndSRtFhGXA/MlHUkmwEPO/g4t7A+vxPcXYEpE/K40jb+OHDF6YVsqY5UT76PAuWSexe5kjs+byCH9\nXy0vb9pn1SvPq8icNyqVsVeRlcnJtZRs7Owh6YVks/91ZO7cSeTNwcway9WzEjmg552SfgOcHBH7\nltaxJ6MhSzotxvrAy8mpVO4hW2JuJydLfqiJF/lFeBe52PwPga9HxPcl/QqYRI5A/H1E3ADNm2dw\nMJXKyxbARyKnIdq7PHcQZe7LBuvd5E4mJ3+FXOj9b+S6osuQK1t0wTJAb53OrYCJpYv2YvK79fGI\n+NZYF6rTLWSVlouPkTXeeeTF/rReN2XblWb/n5NJyn/u91wj78QGUvmsPkl2KZ9QeW5V4G9jfbcy\nVCUR9n/JBOX/iYj7lDO/3xsRn6u3dCOv8pntQk5VcCU5svRBslL2auA9EfFwjcXso7Ri7kNeHJ9G\nnoAvjoir2/J9kTSJXFlkU3Lwyx3kSMvLogFTiywJSWuRFbO3AU8nB8J8M8oC4k1rBR8KSX8A9oiI\nmyTtDjwWEVdUnm9sbKWL+MPkSMOPV1q9rwI+ExEzmlz+oVIOtPgZOd3FVuSo5evI9ZHHfGqlTlfI\neiSdSVbEAA4A9icrMaeRXSqt+0+o3I3tA7w1IvaRtGJEPCZpTWByRPxP3eUcitKlfA7Z4tRb++3R\nNn0+kl5HLrOxFjk69EbyxHZ3rQUbBZUK2enARVHmJmpDxabkYr2EbH3dAXhFNHy6iP4XQuVksDuS\nLRrrk/PzNf2mRcAy1Zav0rL6fnJljmXIVUX+UlMRh6XyXXgt8B8l8X0/cm6r68jJRU+pt5RLprQa\nn0jeWF1Nztf53IgYk+WDRlvls3opOc/dW+ouU09nK2SVvLGdgeOi74i93ci+/RWAz0VLJ1EEkPQ+\ncl3Owyv7Dibv0Bo3M/pgSp7CB8k8uBXJOYkuB25pQV5MNWdsSzJHcRVyjcRGL8OzNEr+xQ/JFtqH\nKvuXB55oSsVssEqipKc3Ic9tSfQqNOS4lmrlbNWIWFBfyYamtOwvQ79jRNIOEfGzNlTqByLpzWTL\n5QJycttPkhX+PSLioKbHVbluPpucrf755Bqcv46IO9qa01dVqZC9jVwL9u3V706dn1FnK2Q9ypnf\nP0XmjPyi7NuXnKH/h8DHImKvGou4VJTLPXyHHN32ZXJiu+OBL0XEj+os23BUWv42J1sz9yLXszux\n5qLZACRtB5xC5pl8Bbiqf9d5E5QWseUj50trlcpF8l+6ikoXUzT5Ir84JYZlKt1jre0SKzeVXyZv\n9r8SuVzaOcAlETGtyRWaUtnvrcXbyv//oZD0BXI1mGvIbsubgNvqvDnrdIWsJOk9l6wFv4VsOr6T\nzCF5H5nvsmxEfLa2Qo6Akrv0RTIp9ipyTcFj6y3VkqlcbFYjuy1eQE6eeClZsXwCeEZEzG/qiVrS\n1uSi4XeU7V5MT4087CrltCSbkt1/a5Etm4+QI5RurrNs0KeCPwV4dkR8pqnH0aJIWiki/k/Sh8il\n3aaW/Y1ubemv0jLxfGCtiPh53WUaCdXPQbnSyGOV7S2BY8m5LhvZnSzpReRAiocr+5YjK8mNXN5p\naVTOz6uQ56y9yEm8lyVH9h9b13m7k6MsJT07Iu4jK14bRsSXJP2IHGUlsuVlLtmc/K7aCjpMlQNq\nJ3IUzzKRI8aWB57elsTeYlmy0nUoeWH/CvAw+bkcFREfJFcgaNxdm6QNIuJO4ANkK+UdvTw+gK5W\nxirHn8ik8lvJtRTXILs4Xkouo9QEvWNmEjkDd3UEbFsqZrsq5+g6kJxJnEq+6POBuW041ir/11sD\nB0l6PBYuVt2qymU/AkLSUeQSVs+V9DvgBxExU9K/R8TjTTzeSsvxe8jy/w74Cbmea+OPp+Go3BRM\nIOsD95L5cuuRvWbL1xl7J1vIlPNyvYGco+eMiDi68txW5MViLnnH3Nh5hwaivnNeTSMrld8mL4TP\nKv/+vG1fKEkzgf+MiJ/3KpZkXKdFxAW1Fm4AyuU2/otc0knADhFxY+X5j5IDRlp1fC2JXstfaXV6\nITmZ78ci4r/L84268JR8mG+RcxBOJfP6WpM0Xr7rnyRb+n9Idq/8lJzy4mbgjRFxfX0lHBrlCg7v\nJdcSPTkiflhzkZaapHXJ+RLfTJ4PXkkuvbMWsG+5cWsc5cCQLcgW7l3JNWlvJnuTZkbE3PpKN7L6\n9cZMJ6f2+AqwDrl25bNKQ059ZexahazkIzybHD31X+TsuyIn5ptBdoMdERFX11bIpVDpgjmG7H69\ngxxddYCkV5IjfPYf/K80j6RDgZcBR0bEvWXf1WRsNzftIt8j6YPkElwTyZa9U8gk2DMjYvM6yzba\nJF1Htjx9l1zI/gJJJwDnNqk7qnSrvo688EAmXN8FzIoy31XTKad+eTHZovzvwPPIc9qzImLvOsu2\nJAbqxpe0F3me/jHw/dIt28jv+aJUzsc7kDdlU8sN5bLkFAqbRsSMeku5eJK+SY6qvJecQ/D1wDPJ\n7/KYz8c1Giqf1XuADcibtJMjYnflVDJHRMQ+dZaxk12WEXGvpL+TF8fvkpMpbkzOzP1kWytj0Gei\nxLnl5x3kWmOQXbS3jn2phq/SVXEheUf5C0n3kZNeziuVMTXtJK1cWuQbZIvFieWL/npylOheZGJv\nZykXt/49eXe5caUVczINWzw5Iu6UdDY58GAHslXvZeQqEK2okLEwN+++iDiktPqtR1Ys22Qf5dxc\nt5AV41eQc6qtCJzStO/54lTOx58F1pJ0e0R8n1z54U5Jjf98Smv/LhGxUdleBbiPTBu5puxrVUV5\nIJXP6tlkC/PHgLPKvleQE6zXqostZL07sUvI4ax/Lncs65JdlY+08U4MnhrB82gp/7PISS1fBhxO\n3t18mOy++FONxRyycgLYHrifbPGbRM5FdmVEPNq0z6r83+9KNnufTQ6kuDQifl2e7zNqrGuUUxYA\nvJtcsueOyOXH/h14R0S8ur7Spcrd8IvIbqS3Aj+Oshh3+S79PRo891glPWEHclmkm4E/k+ex3wA3\ntqWFD56aIuXD5ATdWwPXk7OiTyRbmacD/92mRPLK9eaFZE7SvuRqIz8Azo6Ixt8gl/PZN8g5E7/R\n67YrLeAviYaOCh2ucr05jTyHv5zMfZ0KfKDuxppOVcgqX471yP/wK4DTI2J+zUUbEZLeT+bBXE9O\nbHsf2bT8NvJEfWbdB9SSqlwwX0NOAnsHObpyBeCTEfGTOss3GElrAP8XufbZvuQd/hZka8XPyZnf\n59ZYxDEh6WVkq/PzyZam5clj8OJaC0af4+sMsvV1A2BiRPyHpEOA+dH8xZ57FbIvkK3h3yMvIJuQ\nA2B+HxGNb4ldVMJ+db+kdchWiy3aUiEbJK4dyRHjK0fEbmNfsiWjhYPfUE6S+n4yl2otcqDV/0XE\noWrwVB1LqvJd2gj4I3lD8G5yHdifAz+JiDPrLCN0rMuy8uXYmOwLfxXwNOVSFreQ00E8Wlf5loak\nXh7camSrxKvK9izgTS38wvQ+qzeS+SNfBZC0P/AWSb8llxxq1B2Dcjj4VOBWSdeT64V+v+T4vIFc\nmPYR8gLaKZVKzi7ACyPiS8C/lRFLawPXNOU4LOUUOS/fDHLN2k+Xp18PXFRX2ZZUuYAsQy6KPj0i\nHiHzrX6sXC+xFXOqVSpdh5CtlQ+QK6dcRuZd9pzYlsoY9InrY8CWZC/Fr4DLI0e9qzzfuAqNcjqO\nN5bK/vbAtcDnyWmH1iVbLi8vL2/UOXg4Kj0sU4FjIuJ6SR+KiKaMBgc61kLWX2lGfg05F9nqwNci\n4pp6SzU8ZaTVwxFxd7kAvpzMhVmFzI2ZQ64F1/gPtNKSuQJwMvCdaouYpGuAz0bEhYu6C61LybfY\njTyuNidbhf4H+GVEXFte07gT8EioVMjOB86PiO9I+jC5CPx/R4NWvKgcY+8gc61eVpJ3nwv8CJgU\nLZidv9zRf5+8UJ5Njty9st5SLTn1Xabmy2SL6mXk+WpDcqT4kW27Ua58F/YA3k7mkn6erMRsTQ4m\n+3yTK5iSnkMODjmdnFj8J+RI0ZuadM5dWpVj8NXkVEqTJU0GvkreSO4VZdL4unWmQlb5gqxLNkPu\nR94VX0D26b8e+FHTasRLStKRZLfY78mcpVnA38m7512AhyLitPpKOHTlJN2LYyo5l9ea5En7gHJB\nbVSFrEfSsWQL8z/I6UZeTHYbnxwRP66zbKNJ0spk5XNLSe8mh8vfTLbYHhYNm6VfueLDsWQF+rvA\nysAfIuLIWgu2BCqVymXJhY/3IeNYGzg6Ir5bawGXgBZOkXIimWrxILlu6EcknQysGhEH1FvKoatc\n5E8lE8M3BCZExCclXQBcHxFHN/X8VVW+07sBe5KtYw+TN8TX1VqwEVL5Hn2IHDl6Hjkx/LnkuXtS\nRHy8zjL2dKrLsjienA7iR+QJ7PPAR9tw8lqU0vR9AZl0uRmZOLo/cBt5V/NVFk6A2QrlhDYbWKbc\nrfwX2aX0KJmHFNCnG7oxSsvenhGxWWXf68kLf2OTxEfIcsBvJc0gW2Y/FhG3SXp3EypjlZPvMsCq\nZE7iPmQr+SvJm5lGzgnVU7mIL1/y9NYlb7iOkvQlFqYrNF6pjC1L/p9fRs4/9mB5+hEyz7d1rcql\nMrYseYN8I1mZuao8vYCFo3eXARoVV+U7siLwHLJ8F5fUi7XIxox7q6+tsbhLrVL+K4CvkXNHviMi\nLpf0DeC3tRWun860kMFT3Um/BLbvNYFLegk5CvFDEfFAneUbCcoRo88huyy3JHNk7ouID9VasCVU\nORmsRHa5bkKuHzarxLYfMIUcPbpbNHAOH0lrk3PY/JScf+vusv8qYOdo8Mi9kVBO2m8GfhoR10o6\njkxgPqzmovWftPb15MV/NXL4/gxgdjR0CZueSgyHkSOOtyDzX99Rulz/3PQYAJRLit1e7RqW9Apy\npOVdZEX5xRHxlzZd+NV3BO+DETFX0mvJ9IubgPXJ0YmN/Iwq5f8QmT+2OZn79hvgF8ANbe1JWhKS\nJpTP7LnkOWG7qCwbVafOVMhKK9K65JqOZ0fEhWX/yuTBtlk0aOqEoag0j68HHESOEpkeEQ8qJ7Rb\nJiJ+WW8pl0zlYvNesrtrfeB3EXG4pA0j4o/ldeuSSf2NmjqiUqF8GZnA/1tyXpstyGkU3lprAceY\ncpDDe8gpSm5c3OvHiqQfkvMQ/oxsVX4FORjm/Ig4qc6yLU7lGJtFdlEeQy5n861S+b09Ir5ZbykX\nT9JpwCFkb8X/6+UYllye9YA7I+JKNWxam8WpfD4XknOn9a41m1NGW0fEL5ve6ifpFjLf7Ury5nIy\n2aJ8WETMqrFoI67UD56az7Lc/D+DnLi3MbF2okImac0oS6GUJMuPkyfiOeRJ+P6IeG/TvyADUd+l\nkkkMm20AACAASURBVE4j49qObBn7QUS8v9YCDpOk35CtYN8ELomI7ypH/NwQEWeV1zTurrl8sVcj\nuyJ2Ii/2fyfzx2ZGQ5dIGQmSVoiIf5TuwCauLdq7UD6NrAhc3zvZln3rAX9pyt3wQCoxrEpO+Hwm\n8NWIeFF5fha5Gse1dZZzSSknsD2b/K4/SqZeHBdlfq4mfscHU/l81gTOIbvsf1V3uZZUpfyvBN5J\nrsM7IyJerJx65Azg3yLikbZ9Nv2VLmX1v6lvclzL1F2ApVVaKn4p6XhJ+5FNkAeSQ8K3JRP3Pl9e\n3sgPYTFU/n0zOZz6Y5ETb74KWE3S9vUVbXiUk3L+gpwb6gWV/L5dyXyMXkW0MZ9XaQmCXE/wWLJr\nfKXIdVK/FhHf7nJlrPiwpGdGxJOVO02VSmoT9Cas3YNcXuhUSQcqF+B+MiJ+3+TKGCzMd4mIBeT8\naZ8H5kmapFzyhTZUxpR5lpAtfL8iu15fQc7I/ztJNzb5wrgEViNbxi+T9NXSU9F4lf/ve8jc4zWB\ne5TTYLyCnHj8kaadf4fpIOCjkl4oaZXKjWRj4+pCUv+G5Ey7zyObIN9KngC+HxE3VV/YtDv6JVFp\n0VuWvP71av1/lPQomajcmCbXwVS6Jp5GDq++ALhLueD71sA/IuKmcqJu2mfV+xyOBvYmu8d7FZF3\nSfpF5CCFTunXQvuKiPhCudg+USpmjTm5Ve6EjyJH6m5MrpV4CHC3pGMiYk5NxVssZZL1d8gK/pUR\n8cNyI7APmQf7V3Lyzjbo5U8dAlxQORe/RdKtwD2lpWa5aFhawmAqx/sWZB7v1uT54HjlNBJTIuLS\nusq3pCIH4iwfEY8rR4V+m1wB4pjykqbcZC2Nv5AzEOxCpvnMlPQLckm+Rk5505Uuyx2BtwC/Iye4\n24GchmAtcvhu4xLDl1S/JvKTyZylH5EV0I+Sc6i0qmWmnAAOIYdab0/OsXQnmY9xTVO7lksS6Mnk\nZLZXAS8vJ7TryEXQr6+1gKNACxOAv0BehA6tpAcsQ55Dav+sKhXHrYFPRcS+lee2Bg4Aju+VvYmU\n+a5fIFv4niC7K0+JiHm1FmwpSHoj8Fpy4eb7y74rgY+U73prWsmUK3T8k5w65ZsR8drKc6sALyVT\nLu5tYl5c5bu8BdkbsTrZa3Q5OVr0sSZ/P4ardMW+gbzerE6OgL2KnNS7UQMvWt9lWfycvLN8CdmV\ndxK5yPOJwHXwVO5Pq5QvUJRuyfuBz5FzEH2BHKH4pbZUxkrLHspFqeeVLpnzgP9HtmIcFmXS3iZc\n4PsrF44/kd1IZwK3lsrY9mRrUecqY9Dns1gAvAj4g6STJG1eWsga8VlVLn5bATtL+qGkPSQ9LSJu\niIgjm36xiYhHIuJwco6k68mKzE2Sfinp/ZKe0YbzWOW7vgoL54G8Q9Llkk4CHq9811tRGSs2AC4l\nKy8r9HtuI2DjiLgXGtsb0/u//tL/b+/M4z8by///fJnG2JeEphlLWUeL7DOkLzOjRGH6ohKSUNl+\nSoiEfpW0qIYo/Ej8EiVrIpKQJWt87dvYZRkGWSde3z+u+20OzTCLcZ/znuv5eMyDOefz8biOc859\nrvtaXhfxnjxJpC63AoY4ul0HTOmXu0QvPVm+oQ/ZPqps0rYjRg5+om3OGHQ8Qlby9o8T4fGhxK5y\neyJU+U2ibqQVH4zppTxY1xORsDtr2zO9NCJ9vyZSMF+xfURtu6YFSd8knP8vE4vb48QifYI7rHM3\nLUhajpAl2Yq4/mFtWthKOnU4sC4R0RtISCx8u/exbDOK5oNrgJG2/1mOHU50sn7O9vE17ZsWJF1A\niAjvU6J/mxOpo0sdc2BbF0WaGhTdlXMREbGbic7+DYFbbH+/jdfVWH8XBY7tRfc0ScJmJBHlf6ym\nnW82kvYm0srPEmUyF9m+ua5VU6azDpmktxOe7hOEGOzjwMZE1O96Ij1xfz0LZ4xGCuYzwOa2x0ia\ni8jzLwp8yvbYulZOOwoNrx2JncoAouniiEbtWKseyEaYfw3ge7ZHlvTx+kRNzyVEF2+nHf/J0XgG\n/4so+J2TcG6Os/2cpBFugdxK4x6tDSxq++RyfH5gbaKEYT+3eIxND4W21SGEBt+z5dgiRDfcfl2q\nt1LI9HyNmIxwSG17ZhRNkuwZYvuB4vxvS8jf/INIyz7Z0nWs55BtRnwv93EZpl3ek4tsr9hG26eV\nxro1klBcOIyQwDmLWAtOJ0YoPVPRzMnSZYdsAFHLswshkPojYp5eX4lyStoSeK/tvRvHtgNG2f5M\nPcumnde+7JJWIT40o4GhbXRqGi/3Nwg7t3HRSutnGgv4gsRCdhkhI/NOojNrL9utGm4taQvCmfk3\ncDYxrLoz418az9p3gQ8SpQk3EB+VYbY3qWrgVNJ8zxVzdw8jNl87276jjRGkaUVFAqbx956z1mqH\nRtKahAO5AhHEeIqY8nJ1PzjN8Kr3aCyhsTaQGI/0VYU23njbe9S1cvJ0tobM9ku2f2f7w8AyxCJ8\nr6S/StoBJuWRO875wMclHSlpTCnI3BI4obJd00z5wA+Q9LaycF1teyvbg0uEo431CwMUIoL3Ei37\nJ0k6TNJGJb3Ur/RqlT5D1MvtTgwhPp4YSVRdlf+12D7B9juIdOULwN8lPaYY0N1aGnVhA4sD8y3g\nHEKj71zig/KdKsZNB+U9HyZpPSJd9BUiuvo9SYO77owVJkI4YsUB+De0vybOMUR7F+CLRC3snETG\nZbikHRUTVDpN4/kaR0zoeD9wRzn2IkVaqY10NkI2JSQtQyxoJ9k+vbY9bwYlRfZZYnFbhUjHHlvV\nqKmkEWmZi+jiealxbjZgoO0X2rizlLQx0ZVzOXALoT20AlE7sjIwHzCmjZG9NwtJo4gF/Ou2bynH\ndgMWdwvGdTV2w++ipFR7UXJJGxEzR7erauRUUlLDXydqXc5wjKWa1/bTlU2bJkra9bfE0O1hRHTs\nFuKdeQewhe3b6lk4bTTWsA8DH7D9s9o2TQuNlP56wAbAYGCsY5rA3ETH/hrACm14p2cERdPYQ46m\nsd6xEYTg7QPEer5W26L7PfrOIesn1JAVUCh3P0dodXXmpjVC+V8g5h3+VC2VtXgtpSj5R8Tg3Waq\ndQlgfmBAl1Ji00PZMX+f0Pr7JxEZGAHsXXbbrUDSQUTn21VEavUmIh3+su3v1bRtaimRvPcCyxNS\nMHMDtwK/6YoDM6V3u+EU7EI4NdtXMG+GUMzh3IMYkn6ky9SKrkT8JN0E7EB0t3/C9hWKGZx/JeQ8\nBnXN+X8tkr5PrNkbEJ3hl9t+uKzZyxPpytZOVkiHrGW0MVI0I5RoyuqEZMKYXpSlnFuDSIdNmNLv\n10LS6sTImjUax3o75RWIrt6/dKnIenpRiJN+hOgoHUbMim2VGLFCuHYDIj0B8YFZg+hMvKaaYW/A\n5N53xbihJQmHcl5gF4fkSmtpvBsDiZTxmoRUz2XND6CkbYiN2aF1LJ0xSqH4DkTN1Q9r2/NGNO7L\nusC2treSdJntEYrGuEuBEbafqGzqm4qk/QjR9OeI+tfziXmwrYyM9UiHrKWUOrjbbV9Q/t57sTrl\nsCk6kQ4FNiWiK6cTxdY3KubybWn7jtf7b9SgOJLL2N5JoaD+IjHE/SVJqwEH2R5V18qZT5uft0bU\n5b8Jx/6G4hAsTtTF3Gn74bpWvj6Na9iJGFtzdOPcGsB2XYgmNa5jW0I/bRzhxI8n9K7+ZPuIUrow\n0S2SSnk9Ginxt9t+vBxbk6jBepLYtN3e9qh/2URuRkRe77G9d0npb2/7E223f2rQpMkDQ10UFkqa\ndmMiIHCX7a2qGvkG9EPRe9+gYLMSndmaqCVB0qDijC3Q1o/j5JA03NGJ1FMfH07Uk1wi6UbgbkfX\nVRvFLk8DhkoaZvsFB70FazQxMaHv6N0LSQs2/l2N861pvGjcjz2YNAZuJ0Kzq/XOGLzqGh4C9pQ0\nXtJJkkYDuwOt1057DZ8jRlfNDhxDjOJZmGiIwfazXXHG4FUF4rtKukHRpbcZEX0ZDXyxrMutc2Ya\n7++cxP24n0jbPVVS/DsTchD9Qi9bcVCp98P2eQ6x5Y8SqcxWkw5ZuxhIvDjnAasBB0ha3pOkPI5T\nyBC0nhJV2qKkuzYiCq7vs72d7QWI7r3dyo+38Tm8n+jMOVTSLpKGS5pd0orEgnxcXfNmGj3n66vA\npmUD8Mr9acuHR5OUuNcGnrL9D0k7Ex/KRYDt1fIu68YHc1XgcdvLEYXv9xKbmGvpwEcE4rkozvrf\nCLHU1YGzbJ8PPAz8CbrZ+V7WsAsJ7cHjgcMJXb5tiTV7rELLq230/l9vCRxQoq8HEtI1DxJaZKdD\ne97r6aWRQVoWWMn2RSXAMbBEZUcSz2WryZRlCymh5KWJcRyfIsRvLyK0uj72er/bNsoifThxLS8Q\nC/Z5wA3uhlDnpkRkb1FCG+pu4EzbR9a0a2ZQnOhvEHViKxPaV02tpXWAK9yiwbylpmcf4gPzLPB/\niYjMj9ueUi6p74eJiNLVtg+vbNJ0Iek9RORleSJVeRawJ7G5vJEY8bZYPQunj0Ya9l3AEsQadk4v\ndVl+5h3AdbaH1LJzSjTSrT8nxHl/0DjXS++1tiRhepC0CdHFu3njGt9HPIPr17bvjUiHrGWU3dhL\nwLuAp20/JWlDwhk4zXYnUmWSvkQID15t+85yXaOJfP4I4Le2D6xp49SiGPuyKDGTD3d4AsQbUXaT\nxxM7ymeAUwnnZpyk64iB6q1SuJb0CaJu6VDbNyuG15/ZrMdqGyU6tiFwMLAU8APg5y6zaUtq7Fe2\nL6xn5dQh6RLCIb6T6MY9AJiHUIS/Czjd9nkqHdfVDJ1OJJ1DOJYfJ8a+3QEMIa7ZwIousznbiKQf\nEZNR/ki8z2e3vbh9eimRykOJcp+TCWmi3YgI9L41bZsa0iFrCY3d2EeIB8hEXckjxMiezrQjl5qF\nfYlOxOcoRb2Ec/akpIWAeWzf0w/FpP2GpKWI528QoRL/38SH9ULbu9a0DV6185+bqEkcCEwo7898\nwEHAV20/X9XQ10HSXI55jssRIrsLEWmwe4AziU6+lWw/V9HMN6REkDeyvXVJF32N0IHav5zvqhPW\ne8Y2JrIUOxJd1SuX9etg4MttvT8larlc+XMb0VzxIULL8l3Eu9wZseFpQdIHiai5iCjtA0TKtvX1\nmOmQtQxJpxCdiJcTiui9rpC92haZeCMkfRb4AiGoeivRZXkDsbC1dkc5K9KowZid6FIcSKQ5ni/n\n/0NwsRaNj+WhhLTFnYTu2M2E43hr298VSUcSRe/X9NLCig7RjxKSERfYPq+iiVNFiY5dbPvr5e/b\nAKva3rk0I3V6lJ2krYmNyRzEnNR9FSO6Pmt7Q7VUh6wRtbyLEEM9oPx9McIpe872+f2wIW4EMwYT\ns2sfsH1JSTU/30wxt523vfGPJDMbhSDkz4ELCDHIU3oRMUlXEc7ZMsQA29bT2BVvA+xp+6pyjdsR\nO+jHgCv7rX6h48xGpMq3Jlr65weuknQ9Uff3P7afrGgf8Irj+HKJUowg0kirAKsCo4hu3gOIWqZW\nopjhuprt3oi3JYHtiWLr39nep1fw32aKjX8GtpO0FZHqHk1MFcEtncAxjfyFiLiuT3TBLklc32/K\n+dbdpxK1vLMRtdwD2KFELe+VdF/vZ7vujMErDSWzEePGLgFWLqnLPxDBjb915TnsXMdLn/IscBLx\nEVwEuEbStsXjX4TQ7emEMwbgUOafh0h7LVZ2keNsf4NoTuip27duMZuF6e3yP0kMUF+WGH8zFPgh\nUfvXBnpr1rpEdOmfts+y/S2iM/EM2611xgrbUmbRKiRu9iWu5zJga0lLduHj4WD/UtC+GfGsvAf4\nraTdFWOfWn8dr0epF90LOJrQsjqVqMU6oZxvo0PzFSIahmPCwyVESrxXzO+u35ceja7d9QgndEfb\nwwmneSBwhKQ5u3K9GSFrAY7RDscThbC/IVr31yR2+oOIgt/OUBywf5Xunk+XYy8Q3W9LuyintzHU\nPyvSSFcuStRczAtg+zTgtBL6b0VHbOMDuCTw6WLzcYTw6L2EZETbmUC86xBaYw8STvBtinmWGwNj\naxk3PTjGaF0Kr0Ro9ibWsbY48lNN431Ymeiw/ivwU2LTMr5XE9fGqMtURC37rrOysDhwh2L6wFPl\nG3NN1641a8gq03j5BxAP1VzEiz+B6L5aFzjG9gMVzZwuyuKwPZFOErFjOcP2Kf1Qu9BvKBTIDyBq\nTs4EriZG34yvadfkUMgNvIfQu1qFiADcSwxBb3UHmaSliTTYfIS8zUhCPd2S/kaMSur8jNRGrV9n\n3vXGerwEIQ79ACF3cQ9wLuH4t17PCl55n3ckRordR2xcjnSHGsSmBklzEPdqMDEi6QyinnRC12oY\n0yGrjCYN394NWBHYBPiWYwj3PMCzXYkkNRbgdwKbE1Id5xK6RAu4tPSXn+3UzmVWoXQpfpjQIRtM\nNGQc4hYMEm88X3MQQ7hfIKJ5jxE1lkvbPqSmjVNLiewtDPzL9t3l2EbAvrZXr2nbrEzjGdsZGGz7\nG2VjuQlREzu/7XVq2jg9NKKW99vuXNRySjSdfUnvJTIyI4iI/jldWQ96ZMqyMp7UEr697feWnf+t\n5dh3gN8RNQBdoFcT9m1ihzIEWNv2iZKWK07YvRD1J7WMTP6TUmh+GJGa+b3tPyjkLz5MdDBWp7Ex\nOQx4HyGYfCMhp3KCQuuuEzjGOr0y2knSIkS96E+qGZU0n7F3AotIWrysWacCp5bNwKscgS5g+2Tg\nZE2acNEp+ydH+Z68VBot3kFs0L5LOGMfIVQKOkVnFrB+RtLywHWlI2aw7bPLqdF0ZHQKvKq+Z5jt\n7ctH/uRybF8iUnZURsfaRYkA3AKcSBScHyjpfOBY27+salyhEbkYBSxve43Sabke8E1JT9n+Q2Uz\npxvbj0g6luh0TSpSnqv5iZT4LpLuIDaYN9t+tOcIVDVyOuk5nF21v0djPViKmAQzgZimcDWxSfu7\n7XNq2jg9ZJdlRRqt7XcR0gI/By6VNKdCz+ef7pgqfEmzXijpK8Cyti8op5YmdplJyyhNV8/Y/qnt\njxAbgYWACyR9srJ5wKsiF0sCt5dj422fSIx7GlPJtDcN2//OjUpdyod+PCHO/XlC425ZQg5mU8jo\nfkvofTt3Ak4pf54k1oY9iRRz58gIWUVK8egctp+XdDaRhlka+CUxuf7bVQ2cBhoh8CWJgvD9gXGl\n02cDYgbiY2qpkOKsiCYJKi5O6N/dSwgp3iVpD0LE98yqRhYUoqkmCnZHS9oLuJhogNmC0PBLkhmi\nRF1WJ7T4biRKRh4gBHsfhUnRmXpWJo0I3xBCludg4Ie2/6yYXXlDNeNmgCzqr0QpfF+fGMuxKHAU\n8fIPJPLhN3RtJ6YYZXMrsAJRdL0F8DRwDXCp7QdzMWsfkg4gBFb/RjRh3ExEBN5ve9OKpgGgGF+z\nIJGGuFnScOLZehtRGD8O+IbtiRXNTDpMY3PycSLCchIxyupDxOzHL1Y1MPkPFFNFRhBzK/cmomY/\nJoTUP9prlukS6ZBVQtJJxCih3xMfm22IzrbvAAd36ePSWMw2AD5ve7PGuTnc4pmCSVDa/D9GDLx+\nmXCkj26knKsh6QJiB3xWc5MiaS3g7i5KwiTtolGT9EtiFNQx5fj8RKPLkbYvq2pkMkWKlMzxhGzU\nObb3qmzSdJEpywpIWhVYyvaqjcPHSFoBOIJQgr6+inHTQSN8PBgYJeki4FhiZ/lQNcOSKaJXz38b\nRuh5XWr7F5KGAg+3YVNQ0kdzNQv2G1HWR4EPSnooo67JjFCcsYHAQ8DipWP3JdtPFomSxYDLMsLf\nDkr99XZEqcUDxFjBNYmZo50bZt8jI2QVkHQwcJPto0sbtYiX/0VJ3wJetP3dulZOHQoV92WILpcH\nCKdsLUIMdmGi0HI3d2jA66xAQwDzZOBfRP3YGkTr+C6276lqYKHo8y1jeydJg4iW9tmKM7ka8D3b\no+tamXQZSQvafqL8+6LE0PcHgPOImt4xwPB0xOrT2EhuToy0uoqI6Au4n5i5e3pNG2eEjJDVYVfg\nBEl/nEwEyUQNWVfYi9CD+qntCZLGE7pVfyTaxpdPZ6xdNJyx5YhI7Url+OzAPsCWkg5qSWv8acBY\nScM8SSG9Z9doWqKRlnSa30u6h5iz+wfgM0QJyRiiPukr7tjEgT6mF0EaAexs+7LiRK9BTLUZWs2y\nN4F0yOqwNrALcJOkB4kdWW+kxVqEk9MV1gXWLc5YT1/spSJA+CxxbanM3yIa9+HtNByaEqH9MzEp\noi0R2vuBO4BDJZ0OXEk0iQwjBlrvUNG2pONIGgIsT4iI9hT57wJ+CxzWdMDSGatL+Ya8XJrH1gTm\nkHRnEVk+AzhD0px1rZwxMmVZGcVIi52IMUPjgYm2h9W1auooHUm72R792uL9Upv0E2Ant3AWYhJI\n+g3wAUJq5S+E/tI42/tXNew1lPdkONGR/EHgbuBM20fWtCvpPqXjfTciHX4e8H5i0/wO4CLbnZEf\nmhWQtDAxI3l9ovnoLuK+nd2GutcZIR2yllC8/i8Dj9g+rrY9U4Ok9wNfBb7aqMGYvURa1gQOtL1O\nRsfaQ6ObbDFgbtu3SNqQkLlYFvgF8Nve/WwTkuYlHLLnAbommpy0F8W0lF2I2agHAY8QG4DnbJ+f\n6cr6SDqBWKdwzH8W4TivSZQv/N72zyuaOMOkQ5bMEJJOITpbxhLirz3H7ATgWts/zMWsPTSKYn8C\n3Gr7F7VtSpIalHTlfEQB/7uJhpa1gVHEJjN1E1tCI015OdEodjbwM5cxg4pxV/+2/WQ9K2ecdMiS\nGUbS14gC/gHEDDiI1uNdbD+REbJ2Uer7biWEX5+XNMj2C5K+BJxr+67KJibJTEfSn4hZqMcClxAp\nsCFEx/iPbf+5nnVJE0lHAwcS6cn5iWjm54iI5rlENubmKf8XukHOskzeDH5KDHg9v/w5y/aW6Yy1\nlncDtxESJdh+oRzfFniwllFJ8lZR0l1/J0bsfJaIvuxse03bG6Qz1h6KPtw6xLp1ORFI+rbtpYmm\nskGEqHXnyQhZMtNIZ6x9NCQv9iFqxo4hFrTVgNVsd35Id5JMC0Woe3di5u5dhOL7UaXrPamMpAGE\nBMkWwErEvbqfGC/4bE3b3mzSIUuSWYCGI/Y2wgGbD/gCoduzECEMe5TtWyqamSRVKd28+wD32d64\ntj3JK9HMAcAhRFPPTUSq8kHCMbvUHZxbOTnSIUuSWYBGMf//ARayvV85vgTRSfZIXQuTpD00upGz\nIaklSFqSaMAYSgjBLkNMUviZ7SvrWfbmkQ5ZkswCNCJk5wMH2L5Y0kDbEyWNAG63/VhtO5MkSaaG\nUlv2PuC6fumEzaL+JJkFKM7YwkTo//ZyuLfzP5zoLkuSJGkdkhYo3eGoYHui7Wv7xRmDdMiSZJbB\n9qOEovWRkt5XUjIbAc/Yvq6yeUmSJK9Qasd6GmPf6zleLlQ1biaRsyyTZNbicGAgcKKkOYALgMPq\nmpQkSfIfzEZE8Vcm5iJT1qyJ/VrXlzVkSdLHNIqT5wEWBBYhCmMfJ4pjx/XrbjNJku7SqHu9mAge\nbWn7zsb5vpuikBGyJOlvVP65D7A4sBQwjtBburKcv3Pyv5okSVKdQwnR6luKc3a47ZP7zRmDjJAl\nSd9ThBVvJDqSriCELz8GzEXM7LuionlJkiSvYnKi4mWe5Q7E2KQJtleuYtxMJB2yJOlTGiH/UcAm\nxCy4022vLmkp4MfAprYnVjU0SZJkMkjaj5hduQTwpZ40j6QFbE+oatxMILssk6RPaeww7wH+HzAP\ncL+kZYH/Kj+TzliSJK2hIW8xClgV+AewjO3HJC1ROsOfrGnjzCJryJKkz7F9B0AZm3QDcClRP/ad\nmnYlSZJMht5GciOifmx24MJy7EPAFrbPqGHYzCZTlknSxxQtn9mabeLl2Nttj69nWZIkyZSRtDEw\nEvgIsJXtqySdCJxr+5i61s0c0iFLklmE4oipH7uTkiTpLyTNDuwJfBS4BFiOiJZtavu5mrbNLNIh\nS5I+o6E9NhgYbvvU156raF6SJMlkaTQizWX72bKJHAPMTdS8n2P74bpWzjyyqD9J+oyGw7UusD68\nstsknbEkSdpKccYWBH4g6T6ihuwx4FTbv+pnZwzSIUuSvkPS3CUSdgKwgKT3235R0iqSDpb0qdo2\nJkmSNCnTRAA+R0hdjAQmAD8ALpK0fy3b3ioyZZkkfYSk9YGtgNOAi4FPA0sSI5PmAK4ilK77TsMn\nSZLuImkv4F5gFHCy7XMa50YCi9g+sZZ9bwXpkCVJHyFpCDFmZLVy6CVgGeBoYpG7r5ZtSZIkk0PS\nIsCuwCBi5u4KwCHAtbZvrWnbW0k6ZEnSp0haGVgb2BB4Crge+IXtR6oaliRJMhkkrQcMBpYG5gVe\nBB4FrrR94ev9bj+QwrBJ0idIGmD7JUkLEV1JLwPH2h4raR3gk0RNRpIkSWuQtEjZKI4hZlWaiPK/\nF1gJuKaieW8ZGSFLkj6hIXfxa2AocCfwNHA3cDnw9+yyTJKkTZR05RhgPeB9wCq2n2mc/yQhd/Fs\nJRPfMjJCliR9QNHvebm0jC8GbEzUji0PvBvYEXgCuKWelUmSJP/BRGKU2+7AeOC7kp4C/kQ0JI2y\nfUo989460iFLkv5gNqKAfz3gNttPAFcAV5Qd6DK20xlLkqRV2H5C0r+I7srBwBBgReDzwMrA2Irm\nvaWkQ5YkfUBjVuUSwOckrQgcAfyu1GZkIX+SJK1C0gqEgPVm5dDpwJ9snyrp3cCEsrmcJcgasiTp\nMyQtDGwCfJwI+d8HbGH7qZp2JUmSNJF0PvA/wP8n1qoNiWHivwb2s/18PeveetIhS5KO0yjmn4No\nF7/V9sRybgVgLdtHVTUySZKkgaTVgSNsr/Sa44OBI4EDbV9WxbhK5OikJOk4jc7Jw4AfAo9KrHTM\neQAAAgJJREFUOkHSp4EH0xlLkqSFrANcAiBpDkkDJQ2y/RBwNiFwPUuRDlmSdBhJA8o/RxLjkcYA\n9wM3A78ELpA0bz0LkyRJJstpwBBJy9l+3vZE2y+Uc/MRTUqzFFnUnyTdphcd+zRwIvBZ4I+2vy3p\nfmB5209Xsy5JkmTyjAPuAQ6TdDohfXEtIdOzObB9RduqkA5ZknQYTyoC/QUhALs1sLCkoURR/+8q\nmZYkSTJFSp3rbpI2BYYDqxOq/HcDv7J9dUXzqpBF/UnSUSSJEH+9pxfqlzQf8F1gAWApYOSs1qmU\nJEm3KGUViwIvANi+r65FdUiHLEk6iqSxwLsI7bHNgIGExMVchEP2T9vP1bMwSZIkmVrSIUuSDiJp\nFaJofz1iTNJ6hMr1ksA5wO62n6xmYJIkSTJNZJdlknSTLYCxth8G5gSG2v4QsDYwP+GgJUmSJB0h\nHbIk6Sa7AutIGgSsBewMYHsccAewZkXbkiRJkmkkHbIk6SZrAwOAh4BNCedsnnJuReD4WoYlSZIk\n007WkCVJx5H0CeBrwAeAx4EXbQ+ra1WSJEkyLaRDliR9gqS5gS8Dj9g+rrY9SZIkydSTDlmSJEmS\nJEllsoYsSZIkSZKkMumQJUmSJEmSVCYdsiRJkiRJksqkQ5YkSZIkSVKZdMiSJEmSJEkqkw5ZkiRJ\nkiRJZf4Xno7M7sxNZngAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x10da0ba20>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "products.plot(kind=\"bar\", figsize=(10, 4), rot=70, position=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 220,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x10da585f8>"
+      ]
+     },
+     "execution_count": 220,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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PwK3AAxHx71oLOErqrOgprQTcAiwJ/IjMp7uk3tItPElLA68HdgeeB/wNOBn4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\nYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x119d074e0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "products[1:].plot(kind=\"bar\", figsize=(10, 4), rot=70, position=0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Complaints by Company"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 221,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Bank of America        46553\n",
+       "Wells Fargo            32700\n",
+       "JPMorgan Chase         25880\n",
+       "Experian               19777\n",
+       "Citibank               19370\n",
+       "Equifax                19048\n",
+       "Ocwen                  16702\n",
+       "TransUnion             14961\n",
+       "Capital One            11965\n",
+       "Nationstar Mortgage     9565\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 221,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "by_company = data['Company'].value_counts()[:10]\n",
+    "by_company"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 222,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x10da8d0f0>"
+      ]
+     },
+     "execution_count": 222,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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SuJmsJW39TEcASReRN+rHAsd1rvXle7VdF0dr8tU5ge4FrBcRu1d6jVYAXhkR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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x10da71128>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "by_company.plot(kind=\"bar\", figsize=(10, 4), rot=70, position=0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## By Company Response"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 223,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Closed with explanation            275977\n",
+       "Closed with non-monetary relief     49904\n",
+       "Closed with monetary relief         27928\n",
+       "Closed without relief               17909\n",
+       "Closed                               9499\n",
+       "Closed with relief                   5305\n",
+       "Untimely response                    1828\n",
+       "In progress                          1701\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 223,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "by_response = data['Company response'].value_counts()\n",
+    "by_response"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 224,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x11b1639e8>"
+      ]
+     },
+     "execution_count": 224,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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OJK8tuUw6UxYRFzFx4/byCb7mSODIzPklwPaZ8w8B+03wvU4GTp6sRjMzM7PVgZ99iWfK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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x11b2896d8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "by_response.plot(kind=\"bar\", figsize=(10, 6))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 225,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([<matplotlib.axes._subplots.AxesSubplot object at 0x11b2c2198>], dtype=object)"
+      ]
+     },
+     "execution_count": 225,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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aUDNfkjYGvhsRW6fta4FXRMRdktYFmojYXNLBwKMRcUR63enAIcBNwI8iYou0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\nAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x11b3dea20>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "by_response[1:].plot(kind='bar', figsize=(10,6), subplots=True, ylim=(0,60000))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Mean # of Complaints by Day of Week"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 226,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "data[\"day_of_week\"] = data.index.to_series().map(lambda d: d.weekday())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 227,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "by_week = data.groupby('day_of_week').apply(lambda x: x['day_of_week'].count()/data['Company'].count())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 228,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "dow = 'Su', 'Mo', 'Tu', 'We', 'Th', 'Fr', 'Sa'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 229,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "by_week.index = dow"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 230,
+   "metadata": {
+    "collapsed": false,
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x10d8844e0>"
+      ]
+     },
+     "execution_count": 230,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x11b273400>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "by_week.plot(kind='bar')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 231,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>NAME</th>\n",
+       "      <th>POPEST18PLUS2014</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>STATE</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>United States</td>\n",
+       "      <td>245273438</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>3741806</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Alaska</td>\n",
+       "      <td>550189</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>5109792</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Arkansas</td>\n",
+       "      <td>2259350</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>California</td>\n",
+       "      <td>29649348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Colorado</td>\n",
+       "      <td>4109494</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>Connecticut</td>\n",
+       "      <td>2821247</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>Delaware</td>\n",
+       "      <td>731367</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>District of Columbia</td>\n",
+       "      <td>543588</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>Florida</td>\n",
+       "      <td>15839713</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>Georgia</td>\n",
+       "      <td>7604061</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>Hawaii</td>\n",
+       "      <td>1111117</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>Idaho</td>\n",
+       "      <td>1203384</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>Illinois</td>\n",
+       "      <td>9892106</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>Indiana</td>\n",
+       "      <td>5014928</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>Iowa</td>\n",
+       "      <td>2381172</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>Kansas</td>\n",
+       "      <td>2181355</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>Kentucky</td>\n",
+       "      <td>3400843</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>Louisiana</td>\n",
+       "      <td>3536183</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>Maine</td>\n",
+       "      <td>1071112</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>Maryland</td>\n",
+       "      <td>4625863</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>Massachusetts</td>\n",
+       "      <td>5354940</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>Michigan</td>\n",
+       "      <td>7686087</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>Minnesota</td>\n",
+       "      <td>4175347</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>Mississippi</td>\n",
+       "      <td>2262810</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>Missouri</td>\n",
+       "      <td>4670966</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>Montana</td>\n",
+       "      <td>798555</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>Nebraska</td>\n",
+       "      <td>1414894</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>Nevada</td>\n",
+       "      <td>2175874</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>New Hampshire</td>\n",
+       "      <td>1059672</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>New Jersey</td>\n",
+       "      <td>6926094</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>New Mexico</td>\n",
+       "      <td>1583623</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>New York</td>\n",
+       "      <td>15517321</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>North Carolina</td>\n",
+       "      <td>7656415</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>North Dakota</td>\n",
+       "      <td>570955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>Ohio</td>\n",
+       "      <td>8955859</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>Oklahoma</td>\n",
+       "      <td>2925352</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>Oregon</td>\n",
+       "      <td>3112217</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>Pennsylvania</td>\n",
+       "      <td>10086316</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>Rhode Island</td>\n",
+       "      <td>842321</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>45</th>\n",
+       "      <td>South Carolina</td>\n",
+       "      <td>3747734</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>46</th>\n",
+       "      <td>South Dakota</td>\n",
+       "      <td>642768</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>47</th>\n",
+       "      <td>Tennessee</td>\n",
+       "      <td>5054826</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>48</th>\n",
+       "      <td>Texas</td>\n",
+       "      <td>19841344</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>49</th>\n",
+       "      <td>Utah</td>\n",
+       "      <td>2038787</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>504976</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>51</th>\n",
+       "      <td>Virginia</td>\n",
+       "      <td>6457174</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>53</th>\n",
+       "      <td>Washington</td>\n",
+       "      <td>5458809</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>54</th>\n",
+       "      <td>West Virginia</td>\n",
+       "      <td>1470179</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>55</th>\n",
+       "      <td>Wisconsin</td>\n",
+       "      <td>4457375</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>56</th>\n",
+       "      <td>Wyoming</td>\n",
+       "      <td>445830</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>72</th>\n",
+       "      <td>Puerto Rico Commonwealth</td>\n",
+       "      <td>2775645</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                           NAME  POPEST18PLUS2014\n",
+       "STATE                                            \n",
+       "0                 United States         245273438\n",
+       "1                       Alabama           3741806\n",
+       "2                        Alaska            550189\n",
+       "4                       Arizona           5109792\n",
+       "5                      Arkansas           2259350\n",
+       "6                    California          29649348\n",
+       "8                      Colorado           4109494\n",
+       "9                   Connecticut           2821247\n",
+       "10                     Delaware            731367\n",
+       "11         District of Columbia            543588\n",
+       "12                      Florida          15839713\n",
+       "13                      Georgia           7604061\n",
+       "15                       Hawaii           1111117\n",
+       "16                        Idaho           1203384\n",
+       "17                     Illinois           9892106\n",
+       "18                      Indiana           5014928\n",
+       "19                         Iowa           2381172\n",
+       "20                       Kansas           2181355\n",
+       "21                     Kentucky           3400843\n",
+       "22                    Louisiana           3536183\n",
+       "23                        Maine           1071112\n",
+       "24                     Maryland           4625863\n",
+       "25                Massachusetts           5354940\n",
+       "26                     Michigan           7686087\n",
+       "27                    Minnesota           4175347\n",
+       "28                  Mississippi           2262810\n",
+       "29                     Missouri           4670966\n",
+       "30                      Montana            798555\n",
+       "31                     Nebraska           1414894\n",
+       "32                       Nevada           2175874\n",
+       "33                New Hampshire           1059672\n",
+       "34                   New Jersey           6926094\n",
+       "35                   New Mexico           1583623\n",
+       "36                     New York          15517321\n",
+       "37               North Carolina           7656415\n",
+       "38                 North Dakota            570955\n",
+       "39                         Ohio           8955859\n",
+       "40                     Oklahoma           2925352\n",
+       "41                       Oregon           3112217\n",
+       "42                 Pennsylvania          10086316\n",
+       "44                 Rhode Island            842321\n",
+       "45               South Carolina           3747734\n",
+       "46                 South Dakota            642768\n",
+       "47                    Tennessee           5054826\n",
+       "48                        Texas          19841344\n",
+       "49                         Utah           2038787\n",
+       "50                      Vermont            504976\n",
+       "51                     Virginia           6457174\n",
+       "53                   Washington           5458809\n",
+       "54                West Virginia           1470179\n",
+       "55                    Wisconsin           4457375\n",
+       "56                      Wyoming            445830\n",
+       "72     Puerto Rico Commonwealth           2775645"
+      ]
+     },
+     "execution_count": 231,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "popu = pd.read_csv(\"SCPRC-EST2014-18+POP-RES.csv\")\n",
+    "popu = popu[['STATE','NAME','POPEST18PLUS2014']]\n",
+    "popu.index = popu.pop('STATE')\n",
+    "popu"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 238,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "ename": "TypeError",
+     "evalue": "(\"'generator' object is not callable\", 'occurred at index NAME')",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-238-f45f37485b1d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mus_dict\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mus\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstates\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmapping\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'abbr'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'name'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mpopu\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mval\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mval\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mus_dict\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkeys\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mval\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'NAME'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m/Users/briandeshazer/tiy/consumer-complaints/.direnv/python-3.4.3/lib/python3.4/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36mapply\u001b[0;34m(self, func, axis, broadcast, raw, reduce, args, **kwds)\u001b[0m\n\u001b[1;32m   3707\u001b[0m                     \u001b[0;32mif\u001b[0m \u001b[0mreduce\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3708\u001b[0m                         \u001b[0mreduce\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3709\u001b[0;31m                     \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_apply_standard\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreduce\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mreduce\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3710\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3711\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_apply_broadcast\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/Users/briandeshazer/tiy/consumer-complaints/.direnv/python-3.4.3/lib/python3.4/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m_apply_standard\u001b[0;34m(self, func, axis, ignore_failures, reduce)\u001b[0m\n\u001b[1;32m   3797\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3798\u001b[0m                 \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mv\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mseries_gen\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3799\u001b[0;31m                     \u001b[0mresults\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mv\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3800\u001b[0m                     \u001b[0mkeys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3801\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mTypeError\u001b[0m: (\"'generator' object is not callable\", 'occurred at index NAME')"
+     ]
+    }
+   ],
+   "source": [
+    "us_dict = us.states.mapping('abbr', 'name')\n",
+    "popu.apply(lambda x: val for val in us_dict.keys() if val == x['NAME'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.4.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}