Hifi_case.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['figure.figsize'] = (20, 10)\n",
    "plt.style.use('ggplot')\n",
    "\n",
    "def rhead(x, nrow = 6, ncol = 4):\n",
    "    pd.set_option('display.expand_frame_repr', False)\n",
    "    seq = np.arange(0, len(x.columns), ncol)\n",
    "    for i in seq:\n",
    "        print(x.loc[range(0, nrow), x.columns[range(i, min(i+ncol, len(x.columns)))]])\n",
    "    pd.set_option('display.expand_frame_repr', True)\n",
    "    \n",
    "#create hifi df\n",
    "import os\n",
    "\n",
    "os.chdir(\"/Users/corbettcarrel/OneDrive - University of Utah/Spring 19/Econ 4670/Hifi\")\n",
    "\n",
    "os.getcwd()\n",
    "\n",
    "hifi_class = pd.read_csv('HiFICaseManagementClass.csv')\n",
    "\n",
    "#hifi_class.info()\n",
    "\n",
    "\n",
    "#cleaning the Data\n",
    "mask = hifi_class['Service'] == 'Case Management'\n",
    "\n",
    "hifi_case = hifi_class[mask]\n",
    "\n",
    "#hifi_case.info()\n",
    "\n",
    "#removing nans\n",
    "hifi_case = hifi_case.dropna()\n",
    "\n",
    "#hifi_case.info()\n",
    "\n",
    "#removing unnessacary variables\n",
    "del hifi_case['EnrollDate']\n",
    "del hifi_case['ExitDate']\n",
    "del hifi_case['EnrollmentDesc']\n",
    "del hifi_case['ClientID']\n",
    "\n",
    "#breaking out categoricial variables\n",
    "reason = pd.get_dummies(hifi_case[\"ExitReason\"])\n",
    "destination = pd.get_dummies(hifi_case[\"ExitDestination\"])\n",
    "\n",
    "hifi_case = pd.concat([hifi_case, reason], axis = 1)\n",
    "hifi_case = pd.concat([hifi_case, destination], axis = 1)\n",
    "\n",
    "#del hifi_case['ExitReason']\n",
    "#del hifi_case['ExitDestination']\n",
    "del hifi_case['Service']\n",
    "\n",
    "#hifi_case.info()\n",
    "\n",
    "hifi_group_ave = hifi_case.groupby(['HiFIEnrollID'] , as_index=False).mean()\n",
    "\n",
    "#hifi_group.describe()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>HiFIEnrollID</th>\n",
       "      <th>Units</th>\n",
       "      <th>NHousingNights</th>\n",
       "      <th>Completed Program</th>\n",
       "      <th>Criminal activity/destruction of property/violence</th>\n",
       "      <th>Death</th>\n",
       "      <th>Disagreement with Rules/Persons</th>\n",
       "      <th>Left for a housing opportunity before completing program</th>\n",
       "      <th>Needs could not be met by program</th>\n",
       "      <th>Non-Compliance with Program</th>\n",
       "      <th>...</th>\n",
       "      <th>Other</th>\n",
       "      <th>Permanent housing (other than RRH) for formerly homeless persons</th>\n",
       "      <th>Place not meant for habitation (e.g., a vehicle, an abandoned building, bus/train/subway station/airport or anywhere outside)</th>\n",
       "      <th>Rental by client, no ongoing housing subsidy</th>\n",
       "      <th>Rental by client, other (non-VASH) ongoing housing subsidy</th>\n",
       "      <th>Safe Haven</th>\n",
       "      <th>Staying or living with family, temporary tenure (e.g., room, apartment or house)</th>\n",
       "      <th>Staying or living with friends, permanent tenure</th>\n",
       "      <th>Staying or living with friends, temporary tenure (e.g., room, apartment or house)</th>\n",
       "      <th>Transitional Housing for homeless persons (including homeless youth)</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>136243</td>\n",
       "      <td>2133.0</td>\n",
       "      <td>57246</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>136247</td>\n",
       "      <td>405.0</td>\n",
       "      <td>8520</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>136292</td>\n",
       "      <td>240.0</td>\n",
       "      <td>297</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>136306</td>\n",
       "      <td>270.0</td>\n",
       "      <td>731</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>136307</td>\n",
       "      <td>5506.0</td>\n",
       "      <td>89784</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>136309</td>\n",
       "      <td>780.0</td>\n",
       "      <td>1885</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>136310</td>\n",
       "      <td>10665.0</td>\n",
       "      <td>217671</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>136315</td>\n",
       "      <td>420.0</td>\n",
       "      <td>360</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>136316</td>\n",
       "      <td>90.0</td>\n",
       "      <td>499</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>136319</td>\n",
       "      <td>1860.0</td>\n",
       "      <td>39480</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>136320</td>\n",
       "      <td>10561.0</td>\n",
       "      <td>167202</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>136331</td>\n",
       "      <td>8536.0</td>\n",
       "      <td>130130</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>136333</td>\n",
       "      <td>3405.0</td>\n",
       "      <td>8977</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>136401</td>\n",
       "      <td>1140.0</td>\n",
       "      <td>16816</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>136407</td>\n",
       "      <td>8042.0</td>\n",
       "      <td>10121</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>136408</td>\n",
       "      <td>1740.0</td>\n",
       "      <td>12384</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>136411</td>\n",
       "      <td>45.0</td>\n",
       "      <td>112</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>136412</td>\n",
       "      <td>210.0</td>\n",
       "      <td>2160</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>136414</td>\n",
       "      <td>90.0</td>\n",
       "      <td>273</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>136417</td>\n",
       "      <td>180.0</td>\n",
       "      <td>788</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>136421</td>\n",
       "      <td>180.0</td>\n",
       "      <td>3798</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>136425</td>\n",
       "      <td>150.0</td>\n",
       "      <td>303</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>136426</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1278</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>136432</td>\n",
       "      <td>450.0</td>\n",
       "      <td>2850</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>136435</td>\n",
       "      <td>9470.0</td>\n",
       "      <td>99897</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>136437</td>\n",
       "      <td>510.0</td>\n",
       "      <td>3160</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>136439</td>\n",
       "      <td>7545.0</td>\n",
       "      <td>121074</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>136441</td>\n",
       "      <td>9377.0</td>\n",
       "      <td>149100</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>136449</td>\n",
       "      <td>690.0</td>\n",
       "      <td>4907</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>180318</td>\n",
       "      <td>9315.0</td>\n",
       "      <td>116</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>180835</td>\n",
       "      <td>45.0</td>\n",
       "      <td>365</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>188190</td>\n",
       "      <td>4185.0</td>\n",
       "      <td>37570</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>189443</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>189542</td>\n",
       "      <td>510.0</td>\n",
       "      <td>2674</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>197482</td>\n",
       "      <td>210.0</td>\n",
       "      <td>1131</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>199582</td>\n",
       "      <td>90.0</td>\n",
       "      <td>974</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>202676</td>\n",
       "      <td>9385.0</td>\n",
       "      <td>61560</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>237662</td>\n",
       "      <td>4335.0</td>\n",
       "      <td>15453</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>247809</td>\n",
       "      <td>2490.0</td>\n",
       "      <td>4384</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>248461</td>\n",
       "      <td>1680.0</td>\n",
       "      <td>1407</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>248462</td>\n",
       "      <td>10758.0</td>\n",
       "      <td>139515</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>253554</td>\n",
       "      <td>750.0</td>\n",
       "      <td>660</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>255158</td>\n",
       "      <td>3481.0</td>\n",
       "      <td>11934</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>258649</td>\n",
       "      <td>8911.0</td>\n",
       "      <td>86162</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>259088</td>\n",
       "      <td>4636.0</td>\n",
       "      <td>12506</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>262733</td>\n",
       "      <td>2220.0</td>\n",
       "      <td>49938</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>270687</td>\n",
       "      <td>330.0</td>\n",
       "      <td>1308</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>284917</td>\n",
       "      <td>3270.0</td>\n",
       "      <td>20020</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>294745</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>4110</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>295879</td>\n",
       "      <td>3735.0</td>\n",
       "      <td>33600</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>297499</td>\n",
       "      <td>2370.0</td>\n",
       "      <td>18910</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>305337</td>\n",
       "      <td>1125.0</td>\n",
       "      <td>8368</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>314146</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>18774</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>314250</td>\n",
       "      <td>3765.0</td>\n",
       "      <td>7181</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>321311</td>\n",
       "      <td>3705.0</td>\n",
       "      <td>7588</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>323786</td>\n",
       "      <td>1530.0</td>\n",
       "      <td>8256</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>330808</td>\n",
       "      <td>1035.0</td>\n",
       "      <td>3528</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>333673</td>\n",
       "      <td>2355.0</td>\n",
       "      <td>6832</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>339638</td>\n",
       "      <td>4510.0</td>\n",
       "      <td>9372</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>136 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     HiFIEnrollID    Units  NHousingNights  Completed Program  \\\n",
       "0          133585   2790.0            5595                  0   \n",
       "1          136243   2133.0           57246                  1   \n",
       "2          136247    405.0            8520                  1   \n",
       "3          136292    240.0             297                  0   \n",
       "4          136306    270.0             731                  1   \n",
       "5          136307   5506.0           89784                  1   \n",
       "6          136309    780.0            1885                  1   \n",
       "7          136310  10665.0          217671                  1   \n",
       "8          136315    420.0             360                  0   \n",
       "9          136316     90.0             499                  0   \n",
       "10         136319   1860.0           39480                  1   \n",
       "11         136320  10561.0          167202                  0   \n",
       "12         136331   8536.0          130130                  0   \n",
       "13         136333   3405.0            8977                  1   \n",
       "14         136401   1140.0           16816                  1   \n",
       "15         136407   8042.0           10121                  1   \n",
       "16         136408   1740.0           12384                  0   \n",
       "17         136411     45.0             112                  0   \n",
       "18         136412    210.0            2160                  0   \n",
       "19         136414     90.0             273                  1   \n",
       "20         136417    180.0             788                  0   \n",
       "21         136421    180.0            3798                  1   \n",
       "22         136425    150.0             303                  1   \n",
       "23         136426    360.0            1278                  0   \n",
       "24         136432    450.0            2850                  1   \n",
       "25         136435   9470.0           99897                  1   \n",
       "26         136437    510.0            3160                  0   \n",
       "27         136439   7545.0          121074                  0   \n",
       "28         136441   9377.0          149100                  1   \n",
       "29         136449    690.0            4907                  1   \n",
       "..            ...      ...             ...                ...   \n",
       "106        180318   9315.0             116                  1   \n",
       "107        180835     45.0             365                  0   \n",
       "108        188190   4185.0           37570                  1   \n",
       "109        189443      0.0               8                  0   \n",
       "110        189542    510.0            2674                  0   \n",
       "111        197482    210.0            1131                  1   \n",
       "112        199582     90.0             974                  0   \n",
       "113        202676   9385.0           61560                  1   \n",
       "114        237662   4335.0           15453                  1   \n",
       "115        247809   2490.0            4384                  0   \n",
       "116        248461   1680.0            1407                  0   \n",
       "117        248462  10758.0          139515                  0   \n",
       "118        253554    750.0             660                  0   \n",
       "119        255158   3481.0           11934                  1   \n",
       "120        258649   8911.0           86162                  1   \n",
       "121        259088   4636.0           12506                  1   \n",
       "122        262733   2220.0           49938                  0   \n",
       "123        270687    330.0            1308                  0   \n",
       "124        284917   3270.0           20020                  1   \n",
       "125        294745   1200.0            4110                  1   \n",
       "126        295879   3735.0           33600                  1   \n",
       "127        297499   2370.0           18910                  1   \n",
       "128        305337   1125.0            8368                  0   \n",
       "129        314146   2400.0           18774                  0   \n",
       "130        314250   3765.0            7181                  0   \n",
       "131        321311   3705.0            7588                  0   \n",
       "132        323786   1530.0            8256                  0   \n",
       "133        330808   1035.0            3528                  0   \n",
       "134        333673   2355.0            6832                  1   \n",
       "135        339638   4510.0            9372                  0   \n",
       "\n",
       "     Criminal activity/destruction of property/violence  Death  \\\n",
       "0                                                    0       0   \n",
       "1                                                    0       0   \n",
       "2                                                    0       0   \n",
       "3                                                    0       1   \n",
       "4                                                    0       0   \n",
       "5                                                    0       0   \n",
       "6                                                    0       0   \n",
       "7                                                    0       0   \n",
       "8                                                    0       0   \n",
       "9                                                    0       1   \n",
       "10                                                   0       0   \n",
       "11                                                   0       1   \n",
       "12                                                   0       0   \n",
       "13                                                   0       0   \n",
       "14                                                   0       0   \n",
       "15                                                   0       0   \n",
       "16                                                   0       1   \n",
       "17                                                   0       0   \n",
       "18                                                   0       1   \n",
       "19                                                   0       0   \n",
       "20                                                   0       0   \n",
       "21                                                   0       0   \n",
       "22                                                   0       0   \n",
       "23                                                   0       1   \n",
       "24                                                   0       0   \n",
       "25                                                   0       0   \n",
       "26                                                   0       0   \n",
       "27                                                   0       0   \n",
       "28                                                   0       0   \n",
       "29                                                   0       0   \n",
       "..                                                 ...     ...   \n",
       "106                                                  0       0   \n",
       "107                                                  0       0   \n",
       "108                                                  0       0   \n",
       "109                                                  0       0   \n",
       "110                                                  0       1   \n",
       "111                                                  0       0   \n",
       "112                                                  0       0   \n",
       "113                                                  0       0   \n",
       "114                                                  0       0   \n",
       "115                                                  0       0   \n",
       "116                                                  0       1   \n",
       "117                                                  0       0   \n",
       "118                                                  1       0   \n",
       "119                                                  0       0   \n",
       "120                                                  0       0   \n",
       "121                                                  0       0   \n",
       "122                                                  0       0   \n",
       "123                                                  0       0   \n",
       "124                                                  0       0   \n",
       "125                                                  0       0   \n",
       "126                                                  0       0   \n",
       "127                                                  0       0   \n",
       "128                                                  0       0   \n",
       "129                                                  0       0   \n",
       "130                                                  0       1   \n",
       "131                                                  0       1   \n",
       "132                                                  1       0   \n",
       "133                                                  0       0   \n",
       "134                                                  0       0   \n",
       "135                                                  0       0   \n",
       "\n",
       "     Disagreement with Rules/Persons  \\\n",
       "0                                  0   \n",
       "1                                  0   \n",
       "2                                  0   \n",
       "3                                  0   \n",
       "4                                  0   \n",
       "5                                  0   \n",
       "6                                  0   \n",
       "7                                  0   \n",
       "8                                  0   \n",
       "9                                  0   \n",
       "10                                 0   \n",
       "11                                 0   \n",
       "12                                 0   \n",
       "13                                 0   \n",
       "14                                 0   \n",
       "15                                 0   \n",
       "16                                 0   \n",
       "17                                 0   \n",
       "18                                 0   \n",
       "19                                 0   \n",
       "20                                 0   \n",
       "21                                 0   \n",
       "22                                 0   \n",
       "23                                 0   \n",
       "24                                 0   \n",
       "25                                 0   \n",
       "26                                 0   \n",
       "27                                 0   \n",
       "28                                 0   \n",
       "29                                 0   \n",
       "..                               ...   \n",
       "106                                0   \n",
       "107                                0   \n",
       "108                                0   \n",
       "109                                0   \n",
       "110                                0   \n",
       "111                                0   \n",
       "112                                0   \n",
       "113                                0   \n",
       "114                                0   \n",
       "115                                0   \n",
       "116                                0   \n",
       "117                                0   \n",
       "118                                0   \n",
       "119                                0   \n",
       "120                                0   \n",
       "121                                0   \n",
       "122                                0   \n",
       "123                                0   \n",
       "124                                0   \n",
       "125                                0   \n",
       "126                                0   \n",
       "127                                0   \n",
       "128                                0   \n",
       "129                                0   \n",
       "130                                0   \n",
       "131                                0   \n",
       "132                                0   \n",
       "133                                0   \n",
       "134                                0   \n",
       "135                                0   \n",
       "\n",
       "     Left for a housing opportunity before completing program  \\\n",
       "0                                                    0          \n",
       "1                                                    0          \n",
       "2                                                    0          \n",
       "3                                                    0          \n",
       "4                                                    0          \n",
       "5                                                    0          \n",
       "6                                                    0          \n",
       "7                                                    0          \n",
       "8                                                    1          \n",
       "9                                                    0          \n",
       "10                                                   0          \n",
       "11                                                   0          \n",
       "12                                                   0          \n",
       "13                                                   0          \n",
       "14                                                   0          \n",
       "15                                                   0          \n",
       "16                                                   0          \n",
       "17                                                   0          \n",
       "18                                                   0          \n",
       "19                                                   0          \n",
       "20                                                   1          \n",
       "21                                                   0          \n",
       "22                                                   0          \n",
       "23                                                   0          \n",
       "24                                                   0          \n",
       "25                                                   0          \n",
       "26                                                   1          \n",
       "27                                                   0          \n",
       "28                                                   0          \n",
       "29                                                   0          \n",
       "..                                                 ...          \n",
       "106                                                  0          \n",
       "107                                                  0          \n",
       "108                                                  0          \n",
       "109                                                  0          \n",
       "110                                                  0          \n",
       "111                                                  0          \n",
       "112                                                  0          \n",
       "113                                                  0          \n",
       "114                                                  0          \n",
       "115                                                  0          \n",
       "116                                                  0          \n",
       "117                                                  0          \n",
       "118                                                  0          \n",
       "119                                                  0          \n",
       "120                                                  0          \n",
       "121                                                  0          \n",
       "122                                                  0          \n",
       "123                                                  0          \n",
       "124                                                  0          \n",
       "125                                                  0          \n",
       "126                                                  0          \n",
       "127                                                  0          \n",
       "128                                                  0          \n",
       "129                                                  1          \n",
       "130                                                  0          \n",
       "131                                                  0          \n",
       "132                                                  0          \n",
       "133                                                  0          \n",
       "134                                                  0          \n",
       "135                                                  0          \n",
       "\n",
       "     Needs could not be met by program  Non-Compliance with Program  ...  \\\n",
       "0                                    0                            1  ...   \n",
       "1                                    0                            0  ...   \n",
       "2                                    0                            0  ...   \n",
       "3                                    0                            0  ...   \n",
       "4                                    0                            0  ...   \n",
       "5                                    0                            0  ...   \n",
       "6                                    0                            0  ...   \n",
       "7                                    0                            0  ...   \n",
       "8                                    0                            0  ...   \n",
       "9                                    0                            0  ...   \n",
       "10                                   0                            0  ...   \n",
       "11                                   0                            0  ...   \n",
       "12                                   0                            0  ...   \n",
       "13                                   0                            0  ...   \n",
       "14                                   0                            0  ...   \n",
       "15                                   0                            0  ...   \n",
       "16                                   0                            0  ...   \n",
       "17                                   0                            0  ...   \n",
       "18                                   0                            0  ...   \n",
       "19                                   0                            0  ...   \n",
       "20                                   0                            0  ...   \n",
       "21                                   0                            0  ...   \n",
       "22                                   0                            0  ...   \n",
       "23                                   0                            0  ...   \n",
       "24                                   0                            0  ...   \n",
       "25                                   0                            0  ...   \n",
       "26                                   0                            0  ...   \n",
       "27                                   0                            0  ...   \n",
       "28                                   0                            0  ...   \n",
       "29                                   0                            0  ...   \n",
       "..                                 ...                          ...  ...   \n",
       "106                                  0                            0  ...   \n",
       "107                                  0                            0  ...   \n",
       "108                                  0                            0  ...   \n",
       "109                                  0                            0  ...   \n",
       "110                                  0                            0  ...   \n",
       "111                                  0                            0  ...   \n",
       "112                                  0                            1  ...   \n",
       "113                                  0                            0  ...   \n",
       "114                                  0                            0  ...   \n",
       "115                                  1                            0  ...   \n",
       "116                                  0                            0  ...   \n",
       "117                                  1                            0  ...   \n",
       "118                                  0                            0  ...   \n",
       "119                                  0                            0  ...   \n",
       "120                                  0                            0  ...   \n",
       "121                                  0                            0  ...   \n",
       "122                                  1                            0  ...   \n",
       "123                                  0                            0  ...   \n",
       "124                                  0                            0  ...   \n",
       "125                                  0                            0  ...   \n",
       "126                                  0                            0  ...   \n",
       "127                                  0                            0  ...   \n",
       "128                                  1                            0  ...   \n",
       "129                                  0                            0  ...   \n",
       "130                                  0                            0  ...   \n",
       "131                                  0                            0  ...   \n",
       "132                                  0                            0  ...   \n",
       "133                                  0                            1  ...   \n",
       "134                                  0                            0  ...   \n",
       "135                                  0                            0  ...   \n",
       "\n",
       "     Other  Permanent housing (other than RRH) for formerly homeless persons  \\\n",
       "0        1                                                  0                  \n",
       "1        0                                                  1                  \n",
       "2        0                                                  0                  \n",
       "3        0                                                  0                  \n",
       "4        0                                                  1                  \n",
       "5        0                                                  0                  \n",
       "6        0                                                  1                  \n",
       "7        0                                                  1                  \n",
       "8        0                                                  0                  \n",
       "9        0                                                  0                  \n",
       "10       0                                                  1                  \n",
       "11       0                                                  0                  \n",
       "12       0                                                  0                  \n",
       "13       0                                                  1                  \n",
       "14       0                                                  0                  \n",
       "15       0                                                  1                  \n",
       "16       0                                                  0                  \n",
       "17       0                                                  0                  \n",
       "18       0                                                  0                  \n",
       "19       0                                                  1                  \n",
       "20       0                                                  1                  \n",
       "21       0                                                  1                  \n",
       "22       0                                                  1                  \n",
       "23       0                                                  0                  \n",
       "24       0                                                  0                  \n",
       "25       0                                                  0                  \n",
       "26       0                                                  1                  \n",
       "27       1                                                  0                  \n",
       "28       0                                                  1                  \n",
       "29       0                                                  1                  \n",
       "..     ...                                                ...                  \n",
       "106      0                                                  1                  \n",
       "107      0                                                  0                  \n",
       "108      0                                                  0                  \n",
       "109      1                                                  0                  \n",
       "110      0                                                  0                  \n",
       "111      0                                                  1                  \n",
       "112      0                                                  0                  \n",
       "113      0                                                  1                  \n",
       "114      0                                                  1                  \n",
       "115      0                                                  0                  \n",
       "116      0                                                  0                  \n",
       "117      0                                                  0                  \n",
       "118      0                                                  0                  \n",
       "119      0                                                  1                  \n",
       "120      0                                                  1                  \n",
       "121      0                                                  1                  \n",
       "122      0                                                  0                  \n",
       "123      0                                                  0                  \n",
       "124      0                                                  1                  \n",
       "125      0                                                  0                  \n",
       "126      0                                                  0                  \n",
       "127      0                                                  1                  \n",
       "128      0                                                  0                  \n",
       "129      0                                                  0                  \n",
       "130      0                                                  0                  \n",
       "131      0                                                  0                  \n",
       "132      0                                                  0                  \n",
       "133      0                                                  0                  \n",
       "134      0                                                  0                  \n",
       "135      0                                                  0                  \n",
       "\n",
       "     Place not meant for habitation (e.g., a vehicle, an abandoned building, bus/train/subway station/airport or anywhere outside)  \\\n",
       "0                                                    0                                                                               \n",
       "1                                                    0                                                                               \n",
       "2                                                    0                                                                               \n",
       "3                                                    0                                                                               \n",
       "4                                                    0                                                                               \n",
       "5                                                    0                                                                               \n",
       "6                                                    0                                                                               \n",
       "7                                                    0                                                                               \n",
       "8                                                    0                                                                               \n",
       "9                                                    0                                                                               \n",
       "10                                                   0                                                                               \n",
       "11                                                   0                                                                               \n",
       "12                                                   1                                                                               \n",
       "13                                                   0                                                                               \n",
       "14                                                   0                                                                               \n",
       "15                                                   0                                                                               \n",
       "16                                                   0                                                                               \n",
       "17                                                   1                                                                               \n",
       "18                                                   0                                                                               \n",
       "19                                                   0                                                                               \n",
       "20                                                   0                                                                               \n",
       "21                                                   0                                                                               \n",
       "22                                                   0                                                                               \n",
       "23                                                   0                                                                               \n",
       "24                                                   0                                                                               \n",
       "25                                                   0                                                                               \n",
       "26                                                   0                                                                               \n",
       "27                                                   0                                                                               \n",
       "28                                                   0                                                                               \n",
       "29                                                   0                                                                               \n",
       "..                                                 ...                                                                               \n",
       "106                                                  0                                                                               \n",
       "107                                                  0                                                                               \n",
       "108                                                  0                                                                               \n",
       "109                                                  0                                                                               \n",
       "110                                                  0                                                                               \n",
       "111                                                  0                                                                               \n",
       "112                                                  0                                                                               \n",
       "113                                                  0                                                                               \n",
       "114                                                  0                                                                               \n",
       "115                                                  0                                                                               \n",
       "116                                                  0                                                                               \n",
       "117                                                  0                                                                               \n",
       "118                                                  0                                                                               \n",
       "119                                                  0                                                                               \n",
       "120                                                  0                                                                               \n",
       "121                                                  0                                                                               \n",
       "122                                                  0                                                                               \n",
       "123                                                  1                                                                               \n",
       "124                                                  0                                                                               \n",
       "125                                                  0                                                                               \n",
       "126                                                  0                                                                               \n",
       "127                                                  0                                                                               \n",
       "128                                                  0                                                                               \n",
       "129                                                  0                                                                               \n",
       "130                                                  0                                                                               \n",
       "131                                                  0                                                                               \n",
       "132                                                  0                                                                               \n",
       "133                                                  0                                                                               \n",
       "134                                                  0                                                                               \n",
       "135                                                  0                                                                               \n",
       "\n",
       "     Rental by client, no ongoing housing subsidy  \\\n",
       "0                                               0   \n",
       "1                                               0   \n",
       "2                                               0   \n",
       "3                                               0   \n",
       "4                                               0   \n",
       "5                                               0   \n",
       "6                                               0   \n",
       "7                                               0   \n",
       "8                                               0   \n",
       "9                                               0   \n",
       "10                                              0   \n",
       "11                                              0   \n",
       "12                                              0   \n",
       "13                                              0   \n",
       "14                                              0   \n",
       "15                                              0   \n",
       "16                                              0   \n",
       "17                                              0   \n",
       "18                                              0   \n",
       "19                                              0   \n",
       "20                                              0   \n",
       "21                                              0   \n",
       "22                                              0   \n",
       "23                                              0   \n",
       "24                                              0   \n",
       "25                                              0   \n",
       "26                                              0   \n",
       "27                                              0   \n",
       "28                                              0   \n",
       "29                                              0   \n",
       "..                                            ...   \n",
       "106                                             0   \n",
       "107                                             0   \n",
       "108                                             0   \n",
       "109                                             0   \n",
       "110                                             0   \n",
       "111                                             0   \n",
       "112                                             0   \n",
       "113                                             0   \n",
       "114                                             0   \n",
       "115                                             0   \n",
       "116                                             0   \n",
       "117                                             0   \n",
       "118                                             0   \n",
       "119                                             0   \n",
       "120                                             0   \n",
       "121                                             0   \n",
       "122                                             0   \n",
       "123                                             0   \n",
       "124                                             0   \n",
       "125                                             0   \n",
       "126                                             0   \n",
       "127                                             0   \n",
       "128                                             0   \n",
       "129                                             0   \n",
       "130                                             0   \n",
       "131                                             0   \n",
       "132                                             0   \n",
       "133                                             0   \n",
       "134                                             0   \n",
       "135                                             0   \n",
       "\n",
       "     Rental by client, other (non-VASH) ongoing housing subsidy  Safe Haven  \\\n",
       "0                                                    0                    0   \n",
       "1                                                    0                    0   \n",
       "2                                                    0                    1   \n",
       "3                                                    0                    0   \n",
       "4                                                    0                    0   \n",
       "5                                                    0                    0   \n",
       "6                                                    0                    0   \n",
       "7                                                    0                    0   \n",
       "8                                                    0                    0   \n",
       "9                                                    0                    0   \n",
       "10                                                   0                    0   \n",
       "11                                                   0                    0   \n",
       "12                                                   0                    0   \n",
       "13                                                   0                    0   \n",
       "14                                                   1                    0   \n",
       "15                                                   0                    0   \n",
       "16                                                   0                    0   \n",
       "17                                                   0                    0   \n",
       "18                                                   0                    0   \n",
       "19                                                   0                    0   \n",
       "20                                                   0                    0   \n",
       "21                                                   0                    0   \n",
       "22                                                   0                    0   \n",
       "23                                                   0                    0   \n",
       "24                                                   0                    0   \n",
       "25                                                   0                    0   \n",
       "26                                                   0                    0   \n",
       "27                                                   0                    0   \n",
       "28                                                   0                    0   \n",
       "29                                                   0                    0   \n",
       "..                                                 ...                  ...   \n",
       "106                                                  0                    0   \n",
       "107                                                  0                    0   \n",
       "108                                                  1                    0   \n",
       "109                                                  0                    0   \n",
       "110                                                  0                    0   \n",
       "111                                                  0                    0   \n",
       "112                                                  0                    0   \n",
       "113                                                  0                    0   \n",
       "114                                                  0                    0   \n",
       "115                                                  0                    0   \n",
       "116                                                  0                    0   \n",
       "117                                                  0                    0   \n",
       "118                                                  0                    0   \n",
       "119                                                  0                    0   \n",
       "120                                                  0                    0   \n",
       "121                                                  0                    0   \n",
       "122                                                  0                    0   \n",
       "123                                                  0                    0   \n",
       "124                                                  0                    0   \n",
       "125                                                  1                    0   \n",
       "126                                                  0                    0   \n",
       "127                                                  0                    0   \n",
       "128                                                  0                    0   \n",
       "129                                                  1                    0   \n",
       "130                                                  0                    0   \n",
       "131                                                  0                    0   \n",
       "132                                                  0                    0   \n",
       "133                                                  0                    0   \n",
       "134                                                  0                    0   \n",
       "135                                                  0                    0   \n",
       "\n",
       "     Staying or living with family, temporary tenure (e.g., room, apartment or house)  \\\n",
       "0                                                    0                                  \n",
       "1                                                    0                                  \n",
       "2                                                    0                                  \n",
       "3                                                    0                                  \n",
       "4                                                    0                                  \n",
       "5                                                    1                                  \n",
       "6                                                    0                                  \n",
       "7                                                    0                                  \n",
       "8                                                    1                                  \n",
       "9                                                    0                                  \n",
       "10                                                   0                                  \n",
       "11                                                   0                                  \n",
       "12                                                   0                                  \n",
       "13                                                   0                                  \n",
       "14                                                   0                                  \n",
       "15                                                   0                                  \n",
       "16                                                   0                                  \n",
       "17                                                   0                                  \n",
       "18                                                   0                                  \n",
       "19                                                   0                                  \n",
       "20                                                   0                                  \n",
       "21                                                   0                                  \n",
       "22                                                   0                                  \n",
       "23                                                   0                                  \n",
       "24                                                   0                                  \n",
       "25                                                   1                                  \n",
       "26                                                   0                                  \n",
       "27                                                   0                                  \n",
       "28                                                   0                                  \n",
       "29                                                   0                                  \n",
       "..                                                 ...                                  \n",
       "106                                                  0                                  \n",
       "107                                                  0                                  \n",
       "108                                                  0                                  \n",
       "109                                                  0                                  \n",
       "110                                                  0                                  \n",
       "111                                                  0                                  \n",
       "112                                                  0                                  \n",
       "113                                                  0                                  \n",
       "114                                                  0                                  \n",
       "115                                                  0                                  \n",
       "116                                                  0                                  \n",
       "117                                                  0                                  \n",
       "118                                                  0                                  \n",
       "119                                                  0                                  \n",
       "120                                                  0                                  \n",
       "121                                                  0                                  \n",
       "122                                                  0                                  \n",
       "123                                                  0                                  \n",
       "124                                                  0                                  \n",
       "125                                                  0                                  \n",
       "126                                                  0                                  \n",
       "127                                                  0                                  \n",
       "128                                                  0                                  \n",
       "129                                                  0                                  \n",
       "130                                                  0                                  \n",
       "131                                                  0                                  \n",
       "132                                                  0                                  \n",
       "133                                                  0                                  \n",
       "134                                                  0                                  \n",
       "135                                                  0                                  \n",
       "\n",
       "     Staying or living with friends, permanent tenure  \\\n",
       "0                                                   0   \n",
       "1                                                   0   \n",
       "2                                                   0   \n",
       "3                                                   0   \n",
       "4                                                   0   \n",
       "5                                                   0   \n",
       "6                                                   0   \n",
       "7                                                   0   \n",
       "8                                                   0   \n",
       "9                                                   0   \n",
       "10                                                  0   \n",
       "11                                                  0   \n",
       "12                                                  0   \n",
       "13                                                  0   \n",
       "14                                                  0   \n",
       "15                                                  0   \n",
       "16                                                  0   \n",
       "17                                                  0   \n",
       "18                                                  0   \n",
       "19                                                  0   \n",
       "20                                                  0   \n",
       "21                                                  0   \n",
       "22                                                  0   \n",
       "23                                                  0   \n",
       "24                                                  0   \n",
       "25                                                  0   \n",
       "26                                                  0   \n",
       "27                                                  0   \n",
       "28                                                  0   \n",
       "29                                                  0   \n",
       "..                                                ...   \n",
       "106                                                 0   \n",
       "107                                                 0   \n",
       "108                                                 0   \n",
       "109                                                 0   \n",
       "110                                                 0   \n",
       "111                                                 0   \n",
       "112                                                 0   \n",
       "113                                                 0   \n",
       "114                                                 0   \n",
       "115                                                 0   \n",
       "116                                                 0   \n",
       "117                                                 0   \n",
       "118                                                 0   \n",
       "119                                                 0   \n",
       "120                                                 0   \n",
       "121                                                 0   \n",
       "122                                                 0   \n",
       "123                                                 0   \n",
       "124                                                 0   \n",
       "125                                                 0   \n",
       "126                                                 0   \n",
       "127                                                 0   \n",
       "128                                                 0   \n",
       "129                                                 0   \n",
       "130                                                 0   \n",
       "131                                                 0   \n",
       "132                                                 0   \n",
       "133                                                 0   \n",
       "134                                                 0   \n",
       "135                                                 0   \n",
       "\n",
       "     Staying or living with friends, temporary tenure (e.g., room, apartment or house)  \\\n",
       "0                                                    0                                   \n",
       "1                                                    0                                   \n",
       "2                                                    0                                   \n",
       "3                                                    0                                   \n",
       "4                                                    0                                   \n",
       "5                                                    0                                   \n",
       "6                                                    0                                   \n",
       "7                                                    0                                   \n",
       "8                                                    0                                   \n",
       "9                                                    0                                   \n",
       "10                                                   0                                   \n",
       "11                                                   0                                   \n",
       "12                                                   0                                   \n",
       "13                                                   0                                   \n",
       "14                                                   0                                   \n",
       "15                                                   0                                   \n",
       "16                                                   0                                   \n",
       "17                                                   0                                   \n",
       "18                                                   0                                   \n",
       "19                                                   0                                   \n",
       "20                                                   0                                   \n",
       "21                                                   0                                   \n",
       "22                                                   0                                   \n",
       "23                                                   0                                   \n",
       "24                                                   0                                   \n",
       "25                                                   0                                   \n",
       "26                                                   0                                   \n",
       "27                                                   0                                   \n",
       "28                                                   0                                   \n",
       "29                                                   0                                   \n",
       "..                                                 ...                                   \n",
       "106                                                  0                                   \n",
       "107                                                  0                                   \n",
       "108                                                  0                                   \n",
       "109                                                  0                                   \n",
       "110                                                  0                                   \n",
       "111                                                  0                                   \n",
       "112                                                  0                                   \n",
       "113                                                  0                                   \n",
       "114                                                  0                                   \n",
       "115                                                  0                                   \n",
       "116                                                  0                                   \n",
       "117                                                  0                                   \n",
       "118                                                  0                                   \n",
       "119                                                  0                                   \n",
       "120                                                  0                                   \n",
       "121                                                  0                                   \n",
       "122                                                  1                                   \n",
       "123                                                  0                                   \n",
       "124                                                  0                                   \n",
       "125                                                  0                                   \n",
       "126                                                  0                                   \n",
       "127                                                  0                                   \n",
       "128                                                  0                                   \n",
       "129                                                  0                                   \n",
       "130                                                  0                                   \n",
       "131                                                  0                                   \n",
       "132                                                  0                                   \n",
       "133                                                  1                                   \n",
       "134                                                  0                                   \n",
       "135                                                  0                                   \n",
       "\n",
       "     Transitional Housing for homeless persons (including homeless youth)  \n",
       "0                                                    0                     \n",
       "1                                                    0                     \n",
       "2                                                    0                     \n",
       "3                                                    0                     \n",
       "4                                                    0                     \n",
       "5                                                    0                     \n",
       "6                                                    0                     \n",
       "7                                                    0                     \n",
       "8                                                    0                     \n",
       "9                                                    0                     \n",
       "10                                                   0                     \n",
       "11                                                   0                     \n",
       "12                                                   0                     \n",
       "13                                                   0                     \n",
       "14                                                   0                     \n",
       "15                                                   0                     \n",
       "16                                                   0                     \n",
       "17                                                   0                     \n",
       "18                                                   0                     \n",
       "19                                                   0                     \n",
       "20                                                   0                     \n",
       "21                                                   0                     \n",
       "22                                                   0                     \n",
       "23                                                   0                     \n",
       "24                                                   1                     \n",
       "25                                                   0                     \n",
       "26                                                   0                     \n",
       "27                                                   0                     \n",
       "28                                                   0                     \n",
       "29                                                   0                     \n",
       "..                                                 ...                     \n",
       "106                                                  0                     \n",
       "107                                                  0                     \n",
       "108                                                  0                     \n",
       "109                                                  0                     \n",
       "110                                                  0                     \n",
       "111                                                  0                     \n",
       "112                                                  0                     \n",
       "113                                                  0                     \n",
       "114                                                  0                     \n",
       "115                                                  0                     \n",
       "116                                                  0                     \n",
       "117                                                  0                     \n",
       "118                                                  0                     \n",
       "119                                                  0                     \n",
       "120                                                  0                     \n",
       "121                                                  0                     \n",
       "122                                                  0                     \n",
       "123                                                  0                     \n",
       "124                                                  0                     \n",
       "125                                                  0                     \n",
       "126                                                  1                     \n",
       "127                                                  0                     \n",
       "128                                                  0                     \n",
       "129                                                  0                     \n",
       "130                                                  0                     \n",
       "131                                                  0                     \n",
       "132                                                  0                     \n",
       "133                                                  0                     \n",
       "134                                                  1                     \n",
       "135                                                  0                     \n",
       "\n",
       "[136 rows x 30 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hifi_group_sum = hifi_case.groupby(['HiFIEnrollID'] , as_index=False).sum()\n",
    "\n",
    "df_totals = hifi_group_sum[['HiFIEnrollID',\n",
    "                           'Units',\n",
    "                           'NHousingNights']]\n",
    "\n",
    "hifi_group_ave = hifi_case.groupby(['HiFIEnrollID'] , as_index=False).mean()\n",
    "\n",
    "df_cat = hifi_group_ave[['Completed Program',\n",
    "                         'Criminal activity/destruction of property/violence', \n",
    "                         'Death',\n",
    "                         'Disagreement with Rules/Persons',\n",
    "                         'Left for a housing opportunity before completing program',\n",
    "                         'Needs could not be met by program', \n",
    "                         'Non-Compliance with Program',\n",
    "                         'Other', \n",
    "                         'Unknown/Disappeared', \n",
    "                         'Deceased',\n",
    "                         'Emergency Shelter, including hotel or motel paid for with shelter voucher',\n",
    "                         'Hospital or other residential non-psychiatric medical facility',\n",
    "                         'Jail, Prison, Juvenile Detention Facility',\n",
    "                         'Long-term care facility or nursing home',\n",
    "                         'No exit interview completed', \n",
    "                         'Other',\n",
    "                         'Permanent housing (other than RRH) for formerly homeless persons',\n",
    "                         'Place not meant for habitation (e.g., a vehicle, an abandoned building, bus/train/subway station/airport or anywhere outside)',\n",
    "                         'Rental by client, no ongoing housing subsidy',\n",
    "                         'Rental by client, other (non-VASH) ongoing housing subsidy',\n",
    "                         'Safe Haven',\n",
    "                         'Staying or living with family, temporary tenure (e.g., room, apartment or house)',\n",
    "                         'Staying or living with friends, permanent tenure',\n",
    "                         'Staying or living with friends, temporary tenure (e.g., room, apartment or house)',\n",
    "                         'Transitional Housing for homeless persons (including homeless youth)']]\n",
    "                         \n",
    "df_all = pd.concat([df_totals, df_cat], axis = 1)\n",
    "\n",
    "df_all\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#visualization\n",
    "import seaborn as sns\n",
    "sns.set()\n",
    "\n",
    "ax = sns.countplot(x=\"Units\", \n",
    "                   data=hifi_case)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(hifi_group[\"Units\"]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(hifi_group[\"NHousingNights\"]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.countplot(x=\"ExitReason\", data=hifi_case)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.countplot(x=\"ExitDestination\", data=hifi_case)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(hifi_case['Units'], hifi_case['ExitReason'],  \n",
    "            color='red',\n",
    "            label='hifi_case')\n",
    "\n",
    "plt.legend()\n",
    "plt.xlabel('Units'); plt.ylabel('ExitReason')\n",
    "#plt.ylim((0,50))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(hifi_case['Units'], hifi_case['ExitDestination'],  \n",
    "            color='red',\n",
    "            label='hifi_case')\n",
    "\n",
    "plt.legend()\n",
    "plt.xlabel('Units'); plt.ylabel('ExitDestination')\n",
    "#plt.ylim((0,50))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(hifi_group['Units'], hifi_group['Completed Program'],  \n",
    "            color='red',\n",
    "            label='hifi_group')\n",
    "\n",
    "\n",
    "plt.legend()\n",
    "plt.xlabel('Units'); plt.ylabel('Completed Program')\n",
    "#plt.ylim((0,50))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.countplot(x=\"Completed Program\", data=hifi_group)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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tLV796lfHvHnzora2tuhxh8vllMPt0lCGB31JJdKXVCJ9SaXSm1QifUkl0pf5Um6LK8szl771rW91//naa6/t/vNJJ50UCxcuLEcJAAAAAJTAUXvmEgAAAABDn3AJAAAAgGTCJQAAAACSCZcAAAAASCZcAgAAACCZcAkAAACAZMIlAAAAAJIJlwAAAABIJlwCAAAAIJlwCQAAAIBkwiUAAAAAkgmXAAAAAEgmXAIAAAAgmXAJAAAAgGTCJQAAAACSCZcAAAAASCZcAgAAACCZcAkAAACAZMIlAAAAAJIJlwAAAABIJlwCAAAAIJlwCQAAAIBkwiUAAAAAkgmXAAAAAEgmXAIAAAAgmXAJAAAAgGTCJQAAAACSCZcAAAAASCZcAgAAACCZcAkAAACAZMIlAAAAAJIJlwAAAABIJlwCAAAAIJlwCQAAAIBkwiUAAAAAkgmXAAAAAEgmXAIAAAAgmXAJAAAAgGTCJQAAAACSCZcAAAAASCZcAgAAACCZcAkAAACAZMIlAAAAAJIJlwAAAABIJlwCAAAAIJlwCQAAAIBkwiUAAAAAkgmXAAAAAEgmXAIAAAAgmXAJAAAAgGTCJQAAAACSCZcAAAAASCZcAgAAACCZcAkAAACAZMIlAAAAAJIJlwAAAABIJlwCAAAAIJlwCQAAAIBkwiUAAAAAkgmXAAAAAEgmXAIAAAAgmXAJAAAAgGTCJQAAAACSCZcAAAAASCZcAgAAACCZcAkAAACAZMIlAAAAAJIJlwAAAABIJlwCAAAAIJlwCQAAAIBkwiUAAAAAkgmXAAAAAEgmXAIAAAAgmXAJAAAAgGTCJQAAAACSCZcAAAAASCZcAgAAACCZcAkAAACAZMIlAAAAAJIJlwAAAABIJlwCAAAAIJlwCQAAAIBkwiUAAAAAkgmXAAAAAEgmXAIAAAAgmXAJAAAAgGTCJQAAAACSCZcAAAAASFZTysEfe+yxeOCBB6KrqysuvPDCuOCCC/Je/8tf/hLf+c53orOzM8aNGxf/+I//GMcee2wpSwIAAABgEJXsyqXt27fH8uXL48Ybb4xFixbFww8/HC+88ELee773ve/F3Llz4xvf+EY0NTXFj370o1KVAwAAAEAJlCxcevrpp2PGjBkxatSoqKuri1mzZsWqVavy3pPNZqOtrS0iIvbt2xcjRowoVTkAAAAAlEDJwqUdO3ZEQ0ND93JDQ0Ns27Yt7z0f+tCHYtmyZfGJT3winn766XjHO95RqnIAAAAAKIGSPXMpl8sdsZzJZLqXOzo6YunSpTF//vyYPn16/PjHP45bb701rr322qLnaGpqGrR6j7bhtC0MH/qSSqQvqUT6kkqlN6lE+pJKpC8HpmThUmNjY/zhD3/oXm5paYnGxsbu5Y0bN8aIESNi+vTpERHx9re/PVasWNGvOZqbmwen2KOsqalp2GwLw4e+pBLpSyqRvqRS6U0qkb6kEunLfClBW8luizvjjDNi7dq1sWvXrti3b188/vjjMXPmzO7XTzzxxNi2bVv3AXzyySdj2rRppSoHAAAAgBIo6ZVLl156aSxYsCA6Ozvj/PPPj+nTp8fChQtj7ty5MW3atJg3b14sXrw4crlcjBkzJubNm1eqcgAAAAAogZKFSxERs2fPjtmzZ+etO/SZSmeeeWaceeaZpSwBAAAAgBIq2W1xAAAAAAx/wiUAAAAAkgmXAAAAAEgmXAIAAAAgmXAJAAAAgGTCJQAAAACSCZcAAAAASCZcAgAAACCZcAkAAACAZMIlAAAAAJIJlwAAAABIJlwCAAAAIJlwCQAAAIBkwiUAAAAAkgmXAAAAAEgmXAIAAAAgmXAJAAAAgGTCJQAAAACSCZcAAAAASCZcAgAAACCZcAkAAACAZMIlAAAAAJIJlwAAAABIJlwCAAAAIJlwCQAAAIBkwiUAAAAAkgmXAAAAAEgmXAIAAAAgmXAJAAAAgGTCJQAAAACSCZcAAAAASCZcAgAAACCZcAkAAACAZMIlAAAAAJIJlwAAAABIJlwCAAAAIJlwCQAAAIBkwiUAAAAAkgmXAAAAAEgmXAIAAAAgmXAJAAAAgGTCJQAAAACSCZcAAAAASCZcAgAAACCZcAkAAACAZMIlAAAAAJIJlwAAAABIJlwCAAAAIJlwCQAAAIBkwiUAAAAAkgmXAAAAAEgmXAIAAAAgmXAJAAAAgGTCJQAAAACSCZcAAAAASCZcAgAAACCZcAkAAACAZMIlAAAAAJIJlwAAAABIJlwCAAAAIJlwCQAAAIBkwiUAAAAAkgmXAAAAAEgmXAIAAAAgmXAJAAAAgGTCJQAAAACSCZcAAAAASCZcAgAAACCZcAkAAACAZMIlAAAAAJIJlwAAAABIJlwCAAAAIJlwCQAAAIBkwiUAAAAAkgmXAAAAAEgmXAIAAAAgmXAJAAAAgGTCJQAAAACSCZcAAAAASCZcAgAAACCZcAkAAACAZMIlAAAAAJIJlwAAAABIJlwCAAAAIJlwCQAAAIBkwiUAAAAAkgmXAAAAAEgmXAIAAAAgmXAJAAAAgGQ1pRz8scceiwceeCC6urriwgsvjAsuuCDv9ebm5vj2t78de/fujbFjx8ZnP/vZGDVqVClLAgAAAGAQFRUu/elPf4o9e/bkrTvrrLP6/Mz27dtj+fLlcfPNN0dNTU3Mnz8/ZsyYEZMmTYqIiFwuFzfffHN8+MMfjpkzZ8b3v//9ePDBB+Oyyy5L3BQAAAAAyq1guPRv//Zv8cwzz0RjY2Pe+kLh0tNPPx0zZszovhJp1qxZsWrVqpgzZ05ERDz33HNRV1cXM2fOjIiIiy66KFpbW5M2AgAAAICjo2C4tG7durj11lujtra2XwPv2LEjGhoaupcbGhri2Wef7V7evHlzjB07Nm6//fZYv359TJw4MT7ykY/0aw4AAAAAjq6C4dLEiROjq6ur3+FSLpc7YjmTyXQvd3V1xe9+97tYsGBBTJs2Le699964++6748orryx6jqampn7VVMmG07YwfOhLKpG+pBLpSyqV3qQS6Usqkb4cmILh0tvf/vb44he/GKeeempUV1d3r583b16fn2tsbIw//OEP3cstLS15t9aNHTs2XvWqV8W0adMiImL27Nnxr//6r/0qvrm5uV/vr1RNTU3DZlsYPvQllUhfUon0JZVKb1KJ9CWVSF/mSwnaqgq94b777os3vOENcdJJJ8XkyZO7/yvkjDPOiLVr18auXbti37598fjjj3c/Xyki4rTTTotdu3bF+vXrIyLiySefjJNPPrnfGwAAAADA0VPwyqWqqqr42Mc+1u+BGxsb49JLL40FCxZEZ2dnnH/++TF9+vRYuHBhzJ07N6ZNmxZf+MIXYtmyZbFv374YN25cfPrTn07aCAAAAACOjoLh0qtf/ep46qmnCv52uJ7Mnj07Zs+enbfu2muv7f7zKaecEgsXLuz3uAAAAABUhoLh0tq1a+Phhx+OmpqaqKmp6X4w9913312O+gAAAACoYAXDpeuuu64cdQAAAAAwBBV8oPf48eNjz549sXXr1tiyZUu8+OKL8Zvf/KYctQEAAABQ4QpeubR06dJ48sknY//+/dHQ0BCbN2+O17zmNfH2t7+9HPUBAAAAUMGKeubSrbfeGnfccUfMmTMntm3bFj/84Q/LURsAAAAAFa7gbXFjx46Nurq6mDhxYmzcuDFe97rXxbZt28pRGwAAAAAVrmC4VFNTE7///e9j0qRJsWbNmmhtbY329vZy1AYAAABAhSsYLl122WXx85//PM4888zYsGFDfPSjH423ve1t5agNAAAAgApX8JlL69ati8985jMREfH1r389Wltbo76+vuSFAQAAAFD5Cl659LOf/SxvWbAEAAAAwEEFr1x61ateFUuXLo3TTz896urqutfPmjWrpIUBAAAAUPkKhkt79+6NvXv3xosvvpi3XrgEAAAAQMFw6frrry9HHQAAAAAMQQXDpQULFuQtZzKZGDFiREyZMiUuuuiiOOaYY0pWHAAAAACVreADvSdOnBg1NTXx7ne/O97znvdEfX191NXVRUdHR3znO98pR40AAAAAVKiC4dK6deviy1/+crz5zW+Os88+O6666qrYsmVLXH755bFhw4Zy1AgAAABAhSoYLu3duzdyuVz3ci6Xi/b29gMfrir4cQAAAACGsYLPXHrjG98YX//61+Pcc8+NXC4Xjz76aJx11lnx6KOPxpgxY8pRIwAAAAAVqmC49MEPfjAefvjhWL16ddTU1MS5554b5513XqxduzbmzZtXjhoBAAAAqFAFw6WqqqqYOXNm1NbWRldXV5x++umRyWTijDPOKEd9AAAAAFSwgg9NWrNmTXz5y1+O1atXx5NPPhnXXnttrF69uhy1AQAAAFDhCl65tGLFiliwYEFMmjQpIiKef/75uOWWW+JNb3pTyYsDAAAAoLIVvHKps7OzO1iKiJg8eXJks9mSFgUAAADA0FAwXBoxYkSsW7eue3ndunUxcuTIkhYFAAAAwNBQ8La4yy67LG666aZ41ateFZlMJjZt2hRXX311OWoDAAAAoMIVDJdGjhwZixcvjj//+c+RzWbj1FNPjdGjR5ejNgAAAAAqXMHb4m655ZYYNWpUnHnmmfHGN75RsAQAAABAt4Lh0pQpU+Kxxx6LrVu3xp49e7r/AwAAAICCt8WtXr06Vq1adcT6FStWlKQgAAAAAIaOguHSD37wg3LUAQAAAMAQ1Gu41NHREStXroxNmzbFjBkz4t3vfndUVRW8iw4AAACAV5Be06I77rgjXnrppTjzzDNj9erVsXLlynLWBQAAAMAQ0Gu4tG7durj66qvjne98Z3zhC1+Ip556qpx1AQAAADAE9Bou1dS8fMfcqFGjIpfLlaUgAAAAAIaOoh+i5HlLAAAAAByu1wd67927Nx5//PHu5dbW1rzlWbNmlbYyAAAAACper+HS8ccfHw899FCvy8IlAAAAAHoNl2644YYylgEAAADAUORBSgAAAAAkEy4BAAAAkEy4BAAAAECyXp+5tHXr1j4/ePzxxw96MQAAAAAMLb2GS1dffXVkMpnIZrPR0dERdXV1UV1dHXv37o0xY8bEt7/97XLWCQAAAEAF6jVc+vd///eIiPj2t78dr3vd6+Ktb31rREQ8+eST8cQTT5SnOgAAAAAqWsFnLq1bt647WIqIOPvss2PDhg0lLQoAAACAoaFguJTL5eJ3v/td9/KaNWsik8mUtCgAAAAAhoZeb4s76MMf/nAsXrw4ampqIpfLRUTEF7/4xZIXBgAAAEDlKxgunX766XHbbbfFxo0bIyJi6tSpUV1dXfLCAAAAAKh8BW+La29vj7vvvjvuueeemDBhQtx5553R3t5ejtoAAAAAqHAFw6Xvfve7UV9fHzt37oza2tpobW2NZcuWlaM2AAAAACpcwXBp/fr1cemll0Z1dXWMHDkyPvOZz8T69evLUBoAAAAAla5guFRVlf+WbDZ7xDoAAAAAXpmKeqD3PffcEx0dHbFmzZp46KGH4rWvfW05agMAAACgwhW8BOkDH/hA1NXVRX19fdx7770xderU+NCHPlSO2gAAAACocAWvXPrf//3fmDNnTsyZM6d73SOPPBLnnntuSQsDAAAAoPL1Gi49+eST0dXVFffcc0/kcrnI5XIREdHV1RUrV64ULgEAAADQe7i0fv36+N3vfhc7d+6M//mf/+leX1VVFe95z3vKUhwAAAAAla3XcOngrXA//elP413velc5awIAAABgiCj4QO93vOMd8cMf/jC+9a1vRVtbW/zXf/1XZLPZctQGAAAAQIUrGC7dc889sXHjxnj22Wcjl8vFmjVr4nvf+14ZSgMAAACg0hUMl9auXRvz5s2L2traqK+vj69+9auxdu3actQGAAAAQIUrGC7V1NREVdXLb6utrc1bBgAAAOCVq9cHeh80efLkeOihhyKbzUZzc3P8+Mc/jpNOOqkMpQEAAABQ6QpegnT55ZfHc889Fzt37oz58+dHe3t7XH755WUoDQAAAIBKV/DKpfr6+vjUpz5VjloAAAAAGGJ6DZduuummyGQyvX7wS1/6UkkKAgAAAGDo6DVcOuecc8pZBwAAAABDUK/h0nnnndf95927d8ddpzQ2AAAfUElEQVQzzzwTVVVV8drXvjbq6+vLURsAAAAAFa7gM5eeeOKJuP3222PKlCmRzWbj9ttvj6uuuipmzJhRjvoAAAAAqGAFw6Xly5fHggULYsqUKRER8Ze//CWWLVsWN998c8mLAwAAAKCyVRV6w8iRI7uDpYiIk08+uaQFAQAAADB0FAyXZs6cGQ8++GC0t7dHR0dH/PznP4/JkyfHnj17Ys+ePeWoEQAAAIAKVfC2uP/+7/+ObDYby5cvz1v/6KOPRkTEihUrSlMZAAAAABWvqGcuAQAAAEBPCoZLHR0dsXr16iNugXvXu95VsqIAAAAAGBoKhks33XRTtLa2xoQJE/LWC5cAAAAAKBgu7dixIxYvXlyOWgAAAAAYYgr+trjJkydHS0tLOWoBAAAAYIgpeOXSW97ylvjc5z4XU6ZMierq6u71119/fUkLAwAAAKDyFQyX7r///rjooovihBNOKEc9AAAAAAwhBcOlkSNHxt/93d+VoxYAAAAAhpiCz1x6/etfHw899FDs2LEj9uzZ0/0fAAAAABS8cunHP/5xdHZ2xl133ZW3fsWKFSUrCgAAAIChoWC49P3vf78cdQAAAAAwBBUMl7LZbPzoRz+KNWvWRGdnZ7zhDW+Iiy66KO83xwEAAADwylTwmUs/+MEP4re//W28+93vjr/5m7+JP/7xj/Ef//Ef5agNAAAAgApX8Mql3/zmN7Fw4cKoqTnw1rPOOiu++MUvlrwwAAAAACpfwSuXstlsd7AUEVFbW+uWOAAAAAAioohw6aSTTorvfe97sXnz5njxxRfj7rvvjqlTp5ajNgAAAAAqXMFw6aMf/Wjs3bs35s+fH1/5yldi165d8ZGPfKSowR977LG46qqr4jOf+Uw89NBDvb7vqaeeiiuvvLL4qgEAAACoCAWfuVRfX98d/HR0dMSIESOKGnj79u2xfPnyuPnmm6Ompibmz58fM2bMiEmTJuW9r6WlxQPCAQAAAIaoXq9c6uzsjFtvvTWeeOKJ7nXf/OY347bbbouurq6CAz/99NMxY8aMGDVqVNTV1cWsWbNi1apVR7xv6dKlMWfOnMTyAQAAADiaer1yacWKFdHW1hannXZa97pPfOITcccdd8R9990Xl1xySZ8D79ixIxoaGrqXGxoa4tlnn817z09+8pM4+eST45RTTkkqvqmpKelzlWg4bQvDh76kEulLKpG+pFLpTSqRvqQS6cuB6TVceuqpp2LhwoV5t8E1NjbGpz/96fjqV79aMFzK5XJHLGcyme7ljRs3xuOPPx7XXXddbNu2Lan45ubmpM9VmqampmGzLQwf+pJKpC+pRPqSSqU3qUT6kkqkL/OlBG293hZXU1PT4/OV6uvro7a2tuDAjY2N0dLS0r3c0tISjY2N3curVq2KlpaW+PKXvxwLFy6M7du3x3XXXdff+gEAAAA4inq9cqmqqira2trimGOOyVvf1tYWnZ2dBQc+44wz4r777otdu3bFyJEj4/HHH48rrrii+/W5c+fG3LlzIyLipZdeigULFsTXvva11O0AAAAA4Cjo9cqlt771rbF06dJob2/vXtfe3h5Lly6NWbNmFRy4sbExLr300liwYEFcc801MXv27Jg+fXosXLgw1q1bNzjVAwAAAHBUZXKHPxzpr7LZbHznO9+JX/3qVzF58uTIZrOxadOmmD17dnzsYx+Lqqpec6myGS73RLq/k0qkL6lE+pJKpC+pVHqTSqQvqUT6Ml/KM5f6vC3uiiuuiPe9733xl7/8JTKZTJxyyil5vwEOAAAAgFe2XsOlg8aPHx/jx48vRy0AAAAADDFH/942AAAAAIYs4RIAAAAAyYRLAAAAACQTLgEAAACQTLgEAAAAQDLhEgAAAADJhEsAAAAAJBMuAQAAAJBMuAQAAABAMuESAAAAAMmESwAAAAAkEy4BAAAAkEy4BAAAAEAy4RIAAAAAyYRLAAAAACQTLgEAAACQTLgEAAAAQDLhEgAAAADJhEsAAAAAJBMuAQAAAJBMuAQAAABAMuESAAAAAMmESwAAAAAkEy4BAAAAkEy4BAAAAEAy4RIAAAAAyYRLAAAAACQTLgEAAACQTLgEAAAAQDLhEgAAAADJhEsAAAAAJBMuAQAAAJBMuAQAAABAMuESAAAAAMmESwAAAAAkEy4BAAAAkEy4BAAAAEAy4RIAAAAAyYRLAAAAACQTLgEAAACQTLgEAAAAQDLhEgAAAADJhEsAAAAAJBMuAQAAAJBMuAQAAABAMuESAAAAAMmESwAAAAAkEy4BAAAAkEy4BAAAAEAy4RIAAAAAyYRLAAAAACQTLgEAAACQTLgEAAAAQDLhEgAAAADJhEsAAAAAJBMuAQAAAJBMuAQAAABAMuESAAAAAMmESwAAAAAkEy4BAAAAkEy4BAAAAEAy4RIAAAAAyYRLAAAAACQTLgEAAACQTLgEAAAAQDLhEgAAAADJhEsAAAAAJBMuAQAAAJBMuAQAAABAMuESAAAAAMmESwAAAAAkEy4BAAAAkEy4BAAAAEAy4RIAAAAAyYRLAAAAACQTLgEAAACQTLgEAAAAQDLhEgAAAADJhEsAAAAAJBMuAQAAAJBMuAQAAABAMuESAAAAAMmESwAAAAAkEy4BAAAAkEy4BAAAAEAy4RIAAAAAyYRLAAAAACSrKeXgjz32WDzwwAPR1dUVF154YVxwwQV5r69evTpWrlwZERHjx4+PefPmxahRo0pZEgAAAACDqGRXLm3fvj2WL18eN954YyxatCgefvjheOGFF7pfb21tjTvuuCOuvfba+MY3vhFTp06N++67r1TlAAAAAFACJQuXnn766ZgxY0aMGjUq6urqYtasWbFq1aru17u6uuKjH/1oNDY2RkTE1KlTY+vWraUqBwAAAIASKNltcTt27IiGhobu5YaGhnj22We7l0ePHh1vfvObIyKio6MjHnzwwSNumyukqalpcIqtAMNpWxg+9CWVSF9SifQllUpvUon0JZVIXw5MycKlXC53xHImkznifa2trd23xZ133nn9mqO5uXkgJVaMpqamYbMtDB/6kkqkL6lE+pJKpTepRPqSSqQv86UEbSW7La6xsTFaWlq6l1taWrpvgTtox44dcd1118XUqVPjk5/8ZKlKAQAAAKBEShYunXHGGbF27drYtWtX7Nu3Lx5//PGYOXNm9+vZbDZuvvnmeMtb3hKXX355j1c1AQAAAFDZSnZbXGNjY1x66aWxYMGC6OzsjPPPPz+mT58eCxcujLlz58a2bdviueeei66uru4HfU+bNs0VTAAAAABDSMnCpYiI2bNnx+zZs/PWXXvttRFxIEhasWJFKacHAAAAoMRKdlscAAAAAMOfcAkAAACAZMIlAAAAAJIJlwAAAABIJlwCAAAAIJlwCQAAAIBkwiUAAAAAkgmXAAAAAEgmXAIAAAAgmXAJAAAAgGTCJQAAAACSCZcAAAAASCZcAgAAACCZcAkAAACAZMIlAAAAAJIJlwAAAABIJlwCAAAAIJlwCQAAAIBkwiUAAAAAkgmXAAAAAEgmXAIAAAAgmXAJAAAAgGTCJQAAAACSCZcAAAAASCZcAgAAACCZcAkAAACAZMIlAAAAAJIJlwAAAABIJlwCAAAAIJlwCQAAAIBkwiUAAAAAkgmXAAAAAEgmXAIAAAAgmXAJAAAAgGTCJQAAAACSCZcAAAAASCZcAgAAACCZcAkAAACAZMIlAAAAAJIJlwAAAABIJlwCAAAAIJlwCQAAAIBkwiUAAAAAkgmXAAAAAEgmXAIAAAAgmXAJAAAAgGTCJQAAAACSCZcAAAAASCZcAgAAACCZcAkAAACAZMIlAAAAAJIJlwAAAABIJlwCAAAAIJlwCQAAAIBkwiU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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(df_all['Units'], df_all['Completed Program'],  \n",
    "            color='red',\n",
    "            label='df_all')\n",
    "\n",
    "\n",
    "plt.legend()\n",
    "plt.xlabel('Units'); plt.ylabel('Completed Program')\n",
    "#plt.ylim((0,50))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mask = df_all['Completed Program'] > 0\n",
    "df_all_pass = df_all[mask]\n",
    "\n",
    "sns.distplot(df_all_pass[\"Units\"]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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x8DTv/1bK225M3vTWNP7w/9onLqS+L/AdQyvMC60yM7TKzNAK80KrhsvMtHo63m6VUAeC4fCXv6eGy4eEoVFFCVU2m8l37k6efTp592+neN3+dSG/F0uoJGk+8J2Uf3F9ctSUNC77VIqOg2tOVz/fMbTCvNAqM0OrzAytMC+0arjMzJBfEwpgr/n+guSZnycn/vp+V0D9ssasd6Vx0ceSnz6e5nWfSrlxQ92RAAAAaqWEAvYJ5bKlyWNLkinHpjjmzXXHGRLFr52SxiX/Nfn5T9K8/tMpt7pGFAAAMHwpoYDalSt/kSy6Lzn08OSEt9cdZ0gVx81K46I/TpY/keaffz5lc6DuSAAAALVQQgG1Kl94IZl/TzL6Nck7zkzROPC+lorps1Kcc17ygwdS3vmXdccBAACoxYi6AwDD3CMPJRvXJ7/xvgP6V+SK0387Wflsyn/5+zQnHJrGu86uOxIAAMBepYQCalP2rkke/WFy1JQUhxxad5xKFUWRnHtByjWrUt7+ZynHTUhx7Iy6YwEAAOw1B955L8B+oSzL7deBGjUqOf6kuuPsFUWjLY0L/ih5/aQ0/+zalD97su5IAAAAe40SCqjHk48lK3+RHH9SivaOutPsNUV7RxqX/mkyekyac65MuWZV3ZEAAAD2CiUUsNeVWzYnixcmhxyaHDWl7jh7XdHZncaln0q2bUnzhv+WcvOmuiMBAABUTgkF7H2LFybbtiUz37n9WknDUHH4EWlc8l+TZ1ekedNnU/b31x0JAACgUkooYK8qn3tm+6l4b35bis7uuuPUqnjz9BT/6b8kj/4g5d98pe44AAAAlfLreMBeUw4MJIvmJaNfk7z11+qOs09ovOPMNJ97OuU/fz3NSZPTePvpdUcCAACohJVQwN6z9IfJujXJie9IMXJk3Wn2GcX7Ppi86a0pv/bllE/9pO44AAAAlVBCAXtFuaEvWfJQ8vpJKQ4/ou44+5SirS2Niz62/Rfzbvp/U27cUHckAACAIaeEAipXlmXy4P1JkWTGKXXH2ScVY7vSuOQTyZrn0/yL61I2m3VHAgAAGFJKKKB6P/9p8vTPkredmGL0a+pOs88qjpqS4pzzkiXfS/mPf1t3HAAgdGmyAAAgAElEQVQAgCGlhAIqVTabyeIFSWd3MuWtdcfZ5xXv+s0UJ74z5Tf+OuWPflB3HAAAgCGjhAKq9dMfJ+v7kuNmpmi01Z1mn1cURYoP/kHS84Y0b/lcytUr644EAAAwJJRQQGXKZjN55KGke3ziYuS7rTioffv1oQYG0rzpsylfeKHuSAAAAHtMCQVU58VVUMfOSFEUdafZrxQTD0vj9y9Plj+R8o6v1B0HAABgjymhgEqUzYFkyUNJ9wSroF6l4viTUvzG76Sc97/SXDC37jgAAAB7RAkFVOMnP042WAW1p4r3fSB501tT/tVNKX/x87rjAAAAvGpKKGDIlc2B5JHv/+sqqDfWHWe/VrS1pXHBR5NRB6X5Z9em3La17kgAAACvihIKGHovroJ6m1VQQ6HoHJfGhy5PVixP+be31h0HAADgVVFCAUNqcBXUuAnJYVZBDZXi2Bkpznhvynv/MeXihXXHAQAAaJkSChhaTz7uWlAVKX7ng8kbj07zqzekXL2y7jgAAAAtUUIBQ6YceHEV1CFWQVWgGDEyjYs+ljSbaX7lc9vfbwAAgP2EEgoYOj95PNm43rWgKlQc0pPiP384efKxlN+4ve44AAAAu00JBQyJHVZB9byh7jgHtMbMd6Y4+d0p/+lvUy79Yd1xAAAAdosSChgaVkHtVcX7L0ped1iaf/6FlH29dccBAADYJSUUsMe2r4J6KBn/Oqug9pLioPY0Lv54snFDmrfOTtls1h0JAADgFSmhgD335GPJxg1+EW8vKw6flOI/nJ/878Up/+Xv644DAADwipRQwB4pyzJ59OF/vRbU6+uOM+wU73xPcvxJKb9+W8qfLas7DgAAwMtSQgF75umfJevXJW9+m1VQNSiKIo0P/mEytjPNP/tcyi2b644EAADwKymhgD2zdEly8OjkDUfWnWTYKka/Jo3zP5qs+kXKO75SdxwAAIBfSQkFvGrl2tXJsyuSydNSNNrqjjOsFW+aluI9/z7ld+9J83vz644DAACwEyUU8Oo99kjS1pZMfkvdSUhS/Na5yZFvSnnbjSlXr6w7DgAAwA6UUMCr0ty4Pvnp48mkN6U4qL3uOCQpRoxI44I/Sspmmrd8PuXAQN2RAAAABimhgFdly3e/nQwMJFPeWncUXqKYMDHFf/ovybKlKe/+n3XHAQAAGKSEAlpW9vdny/3fSiYenqJrXN1x+CWNWaemmPWulN/8m5TLHq07DgAAQBIlFPAqlD9YmGbvmmTKsXVH4WUU//HiZPwhad7yhZSbNtQdBwAAQAkFtK6c+w9pjH9dcvgb647Cyyg6Dt5+faje1Sm/9uWUZVl3JAAAYJhTQgEtKX/6RPLkY+l451kpiqLuOLyC4sg3pfjt/5jye/enXPDtuuMAAADDnBIKaEk59xtJe0cOmvnrdUdhNxRn/U7ypremvP3mlM89U3ccAABgGFNCAbut7F2d8qHvpjj53Wl0HFx3HHZD0WhL47wrkhEj0/zK51L2v1B3JAAAYJhSQgG7rbz3n5LmQIrT/k3dUWhB0T0+jQ/+YfKzZSn/7q/qjgMAAAxTSihgt5QvbEs575+TY2ekOOTQuuPQouL4k1L8+lkp//n/S/now3XHAQAAhiElFLBbygfnJevXpXH6b9UdhVepOOf85NDXp/kXs1OuX1d3HAAAYJhRQgG7VJZlynv+ITnsjcmUY+uOw6tUHHRQGhd+LNnYl+ZX56Qsy7ojAQAAw4gSCti1H/8oWfHTFKf/VoqiqDsNe6B4/aQU/+73kx8+uP0aXwAAAHuJEgrYpea3v5mMeU2Kme+sOwpDoDj9t5JpJ6T8279I+fTP6o4DAAAME0oo4BWVfWuTHy5K8fbTU4w6qO44DIGiKNL40OVJx8FpfuVzKbdtrTsSAAAwDCihgFdUfvfbycBAilPOrDsKQ6gY25nGhz6SPP2zlHf+Zd1xAACAYUAJBbyssixTzv9WcsybUxx6eN1xGGLFtONTnPHelN+5O+UPH6w7DgAAcIBTQgEv7/FHkpW/SPGO36g7CRUp3vfB5A1Hpnnr9SnXPF93HAAA4ACmhAJeVnn/t5KDR6c44e11R6EixciRaVz48aT/hTRv+VzKgYG6IwEAAAcoJRTwK5Ub+lIuXpBi5qkuSH6AKyYeluI/fzh54tGU/3B73XEAAIADlBIK+JXKB+5N+vtT/LoLkg8HjVmnpjj53Sn/8W9TLv1h3XEAAIADkBIK2ElZlttPxTvimBSHT6o7DntJ8f6LkomHp3nL51P2ra07DgAAcIBRQgE7+8njyTNPpXiHVVDDSXFQexoX/3GyeVOaf35dymaz7kgAAMABRAkF7KS8/5+Tg9pTnPiOuqOwlxWHvTHFuRcmjz6c8n/dVXccAADgADJidw6aP39+7rrrrgwMDOTss8/OWWedtcP+5cuX56abbsrmzZszderUXHjhhWlra8vzzz+fOXPmZN26denp6clll12W9vb2bNy4MTfccENWrlyZsWPH5oorrkhnZ+fg4y1ZsiR/93d/l0996lNJkv7+/px//vk55JBDBo/57Gc/m0ZDhwZDrdy8KeX35qeY+c4U7QfXHYcaFO84M3lsScq//6uUk9+S4ug31x0JAAA4AOyyxVmzZk1uv/32XHnllbnmmmsyd+7crFixYodj5syZk/POOy/XX399yrLM3LlzkyS33HJLzjzzzMyePTtHHnlk7rzzziTJHXfckalTp+a6667L6aefnltvvTVJ0mw28w//8A+ZPXt2mi85DeSpp57K5MmTc+211w7+UUBBNcpF9yXbtjoVbxgriiLFB/4gGXdIml/5XMoNfXVHAgAADgC7bHKWLFmSadOmZcyYMWlvb8/MmTPzwAMPDO5ftWpVtm3blsmTJydJTj311CxcuDD9/f1ZunRpZs2aNXj7i/dbvHhxTjnllCTJySefnIcffjj9/f15+umn8/TTT+fiiy/eIcOyZcvS19eXT3ziE/nkJz+ZRx99dGhePbCTcv6/JIcfkRxxTN1RqFHRcfD260Ot603zL29IWZZ1RwIAAPZzuyyh1q5dm66ursHtrq6urF69eof9Lz2VrqurK2vWrMn69evT0dGRtra2ne730sdsa2tLR0dH+vr68vrXvz6XXHJJxowZs0OGoigyY8aMXHXVVbngggty3XXXpa/P/5mHoVY+9WTys2UpTjkzRVHUHYeaFW88OsXv/n7ywwdTzv1G3XEAAID93C6vCfXL//e7LMsd/nHabDZ32H5x/y8fl2TwFLpf9ZivdHrdGWecMfjfkyZNyjHHHJPHH388M2bM2FX8QT09Pbt97HDmfRre1nz9f2TTqIPS82/PTeM1Y1/x2M0/eSKdr+18xWOGm7bOrnQcYJ+h8gMXZ/VTy7L5zr/MuF97ew5689v26PF8x9AK80KrzAytMjO0wrzQKjOzs12WUN3d3XnssccGt3t7e9Pd3T24PW7cuKxdu3aH/V1dXRk7dmw2bdqUZrOZRqOxw+qn7u7u9Pb2Zty4cRkYGMiWLVt2Wv30UvPmzcvkyZMzceLEJNtLqxdXWO2uZ555pqXjh6Oenh7v0zBWbt2S5nf+McXxJ+XZ9RuS9Rte8fiuJL3revdOuP1Eo3dt1h6An6Hy3IuSZY9l5X//eBp/OjvF2FdXPvqOoRXmhVaZGVplZmiFeaFVw2VmWi3adnk63rHHHptHHnkkfX192bp1axYtWpTjjjtucP+ECRMyatSowaJq3rx5mT59ekaMGJEpU6ZkwYIFg7e/eL/p06fnvvvuS5IsWLAgU6ZMyYgRL9+HLV++PN/85jeTbC+Tli9fnqlTp7b0QoFXVj703WTzJhckZyfFwWPSuOQTycYN2y9U3hyoOxIAALAf2mUJ1d3dnfe///35zGc+kz/+4z/OKaeckqOPPjpXX311nnzyySTJpZdemq9+9av5yEc+ki1btuQ973lPkuSCCy7IPffckyuuuCJLly7NueeemyQ599xz88QTT+SjH/1ovvWtb+X8889/xQy/+7u/m3Xr1uWP/uiP8vnPfz5/8Ad/kI6Ojj197cBLlPf/czLxsOSYt9QdhX1Q8YYjU/ynS5LHlqT8+7+uOw4AALAfKsph8pNHw2EZ3J4aLssF2Vn59FNpfvoPU/zuh9L4jfft1n26tmzM6gfvrzjZ/qUxeVoy8fC6Y1Sq+T++mPL+b6Xxh3+a4m27f12+xHcMrTEvtMrM0CozQyvMC60aLjMz5KfjAQe+cv6/JG0jUpz0rrqjsI8r3n9R8oYj0/yLL6Rc9WzdcQAAgP2IEgqGubK/P+Wie5O3zXjVF5xm+ChGjtp+fagkzZs+m/KFbTUnAgAA9hdKKBjuHv1Bsn5dGiedVncS9hPFhIlpnPfR5KknU97+Z3XHAQAA9hMv/5N0wLBQLvxOMmZsMu34uqPs/7ZtTZ5dUXeKvaJ43aEpfv03Us775zTHvy6N40/61QeOGbv9DwAAMOwpoWAYKzdtSPnwohS//hspRoysO87+b9OmNJc/UXeKvaZ8/aRk4mEpv/HXGdi2NUX3+J2OaUyepoQCAACSOB0PhrXyoe8m/S+4IDmvStFoJKeckYxqT+77Xym3bK47EgAAsA9TQsEwVi78TnLo65M3Hl13FPZTRcfByalnJZs2JvO+lbI5UHckAABgH6WEgmGqXPmLZNmjKU56V4qiqDsO+7Fi/OuSWe9Mnns6+f6CuuMAAAD7KNeEgmGqfODepChSzHxn3VE4ABRHTUm5dnWy9Icpu8anOHpq3ZEAAIB9jJVQMAyVZZnyge8kU45N0T2h7jgcKI4/KTn08GTRfSlXPVt3GgAAYB+jhILh6MmlyapnU8xyQXKGTtFoJO84Mxk9Jrn3n1Ju3FB3JAAAYB+ihIJhqFz4nWTUQSmOP6nuKBxgioPak1PPTvr7k/v+KeUL2+qOBAAA7COUUDDMlNu2pvze/BTHvz1Fe0fdcTgAFZ3dySnvTlavSvn3f52yLOuOBAAA7AOUUDDMlD/8XrJ5Y4qTnIpHdYrXT0redmLKHz6Y8l/+ru44AADAPsCv48EwUy78dtI5Lpny1rqjcKB76wlJ/wsp7/xqyp43JD09dScCAABqZCUUDCNl39rkR4tTzDo1RaOt7jgc4IqiSON9H0gOe2OaN1+TbcuX1R0JAACokRIKhpHywXlJs+lUPPaa4qD2NC7906S9I89/+vKUvavrjgQAANRECQXDSLnwO8kbj07R84a6ozCMFN3j07j0U2luWJ/mnCtTbtlcdyQAAKAGSigYJsoVy5OnfpLipNPqjsIwVLzhyIz7r/9P8vPlaf7ZtSkHBuqOBAAA7GVKKBgmyge+k7S1pTjxHXVHYZjqmHFKiv94cfLIQyn/5ispy7LuSAAAwF7k1/FgGCibAykfuC+ZdkKK17y27jgMY41T35PmqmdTfuvryYRDU5zx3rojAQAAe4kSCoaDpUuSdWvScCoe+4Di3/1eyuefS/m3f5Fy3CEpjj+p7kgAAMBe4HQ8GAbKhd9ODh6dHDuj7iiQotFI4/wrkkmT0/zzz6f8yeN1RwIAAPYCJRQc4Motm1L+YGGKGe9IMXJk3XEgSVKMOiiNP/hk8truNL94VcpVz9YdCQAAqJgSCg5w5fcXJtu2+VU89jnF2M40LvtUMjCQ5uxPp+xbW3ckAACgQkooOMCVC7+dHHJocuSb6o4COykmHp7GpX+a9D6/vYjatLHuSAAAQEWUUHAAK1evTB5/JMVJ70pRFHXHgV+pOHpqGv/lT5Jnfp7mF69MuW1r3ZEAAIAKKKHgAFY+cG+SpJh5aq05YFeKaSekOP+KZNnSNG++JmV/f92RAACAIaaEggNUWZYpH/hOMvktKSZMrDsO7FJjxjtS/MeLkyXfS/nVG1I2m3VHAgAAhtCIugMAFVn+RPLs0ynOfF/dSWC3NU49O80N61P+/V8lo1+T/IcLnEoKAAAHCCUUHKDKhd9ORo5KccLJdUeBlhS/eU6ycX3Ke76RjHlNin9zbt2RAACAIaCEggNQ2f9CygfvT3HczBQHj647DrSkKIrk35+XbNyQ8u//Os3RY9N419l1xwIAAPaQEgoORI98P9m4PsVJp9WdBF6VotFIfu/SlJs2pLz95jQ7Dk5j1ql1xwIAAPaAC5PDAai58NvJ2M7kzcfVHQVetaKtLY2L/ziZPC3lX8xO88F5dUcCAAD2gBIKDjDlhr5kyUMpZr4zRVtb3XFgjxQjR6Vx6Z8mx0xNecsX0vze/XVHAgAAXiUlFBxgyu/NTwb6U7zdqXgcGIqD2tO49FPJ0VNS3vL5lA/NrzsSAADwKiih4ABTLvx2cvikFIdPqjsKDJmivSONy/7v5MgpaX7lcym/v6DuSAAAQIuUUHAAKZ9dkfz0xylOelfdUWDIFe0daVz+qWTS5DS/cm3KxYooAADYnyih4ABSLrw3KRopZr6z7ihQiaL94DQu/3RyxDFp/tm1KX/wQN2RAACA3aSEggNE2WymfOA7yVump3htV91xoDJFx78WUW88Os2bP5vyYUUUAADsD5RQcKB44kfJmlVOxWNYGCyi3nBUmjddo4gCAID9gBIKDhDlwm8nHQenOG5m3VFgrygOHv3/s3fn8VHV9/7HX98zWUnInggJiyxGdgGlgKCCVATUq7UVbavX1r3cH/jDpbu21BVbxUoR7dXbq/7auoFrURSKYGRxAURlkUVkDWRPyD45398fJ2RhEQMhJ8m8n4/HYWbOOTPzmcM3k5l3vt/vwfm/M6BbT9y5D+KufM/vkkRERERE5BsohBJpB2xlBfbj5ZgzR2EiIv0uR6TFmA4xOLf9AU7rj/2fWbhLFvhdkoiIiIiIHIVCKJF2wK5ZCZXlGoonIcmbrPx3MGgY9h9P4C54ye+SRERERETkCBRCibQDdsUSSE6D3v38LkXEFyY8AueWX2KGn4d95Tncec9grfW7LBERERERaSDM7wJE5MTYgjzY8CnmoiswjnJlCV0mLAyumw5R0di350FZKfz4ZowT8Ls0ERERERFBIZRIm2c/XArWxYzQUDwR4zjw459BhxjsW/Ogogx++n+9gEpERERERHylT+UibZi1Frv839CrD+aUdL/LEWkVjDGYy6/FjY7Bzn8WW16Gc8svNGm/iIiIiIjPNHZHpC3buQ327FAvKJEjcCb+APPjn8Hnn+DOuht7oNjvkkREREREQppCKJE2zK5YAmFhmGGj/S5FpFVyxkzE3HgnbN+MO/MX2Jxsv0sSEREREQlZCqFE2igbDGJXLYVB38HEdPS7HJFWyxk2Gmf6PVBchPvAndivNvtdkoiIiIhISFIIJdJWrV8DJUU4IzUUT+RYTGZ/nF8+BBGRuH/6NfbTD/0uSUREREQk5CiEEmmj7IolEBsHA4b6XYpIm2A6d8H59R+hc1fcOffjvrfA75JEREREREKKQiiRNsiWHcCuXYX5zrmYsHC/yxFpM0xcIs6d98PAM7F/fwL35f/Fuq7fZYmIiIiIhASFUCJtkP34AwhWYzQUT6TJTGQUzpRfY8ZMxC6cj33qYWx1td9liYiIiIi0e2F+FyAiTWdXLIHOXaF7b79LEWmTTCAAP7oFktOw857BFuTi/OyXmLhEv0sTEREREWm31BNKpI2x+/fClvWYkedjjPG7HJE2yxiDM+H7ODf/HHZsxb3vduyObX6XJSIiIiLSbimEEmlj7Mr3wBjM8PP8LkWkXTBnjcb5+Uyw4M78BfaT5X6XJCIiIiLSLimEEmlDrLXYlUugzyBMUorf5Yi0G6Z7L5zfPAxde+A+8SDu6//QhOUiIiIiIs1MIZRIW7J1A+RkY0ae73clIu2OiU/Euf0+zMjzsW88j/vkQ9jKCr/LEhERERFpNxRCibQhdsUSiIzCDBnhdyki7ZIJD8f89FbMFdfBmpXe8Ly8HL/LEhERERFpFxRCibQRtroK+1EWZuhITFS03+WItFvGGJzxl+FMvQty9+Hedxt283q/yxIRERERafPCvs1OWVlZzJs3j5qaGiZNmsSECRMabd++fTtPPPEE5eXl9O3blxtvvJFAIEBubi6zZ8+mqKiI9PR0pk2bRlRUFKWlpTz22GPs37+fuLg4pk+fTkJCQt3jrVu3jldffZW7774b8ObBee6551i9ejXGGG6++Wb69OnTjIdBpA349EMoL9VQPJEWYgaeifOrP+H+5V7ch3+D+cFPMeMu0VkpRURERESO0zF7QuXn5/PPf/6Te+65h4ceeojFixeza9euRvvMnj2b6667jj//+c9Ya1m8eDEATz31FOPHj+fRRx+lZ8+evPzyywA8//zz9O3bl1mzZjFu3Dj+9re/AeC6Lm+88QaPPvooboMJYVetWsXu3bt55JFHuPPOO3n88cepqalptoMg0ha4K5ZAYgqcPsDvUkRChuncxZuwfOBZ2Beewv73n7AV5X6XJSIiIiLSJh0zhFq3bh0DBgwgNjaWqKgohg8fzsqVK+u25+TkUFVVRWZmJgBjxoxhxYoVBINBNmzYwIgRI+rWH7zf6tWrGT16NACjRo1i7dq1BINBdu/eze7du7n55psb1bB69WpGjRqF4zikp6eTkpLCpk2bmucIiLQBtrgQPv8EM+I8jBPwuxyRkGI6xOD87FeYy/8T+/EHuPffgc3edew7ioiIiIhII8ccjldQUEBiYmLd7cTERLZs2dJoe8OhdImJieTn51NSUkJ0dDSBQKBufV5e3mGPGQgEiI6Opri4mK5du3LLLbfwxRdfHFZDw+dISEggPz+/SS80PT29SfuHKh2n1qnko6UUui6n/MeVhLeS/6PybZtJiE849o4hxI3pgKNj0kggIZHoBm22Tb/HXD+NijNHkDfz19j77yTxtt/T4eyxflfVrrXp9iK+UJuRplKbkaZQe5GmUps53DFDKGvtYbcbzofhum6j2we3H7ofgOM4R33Mg9uO5NDnAJo8J8eePXuatH8oSk9P13FqpWoWzIfuvckJi4JW8n+UCBQWFfpdRqviRMbg6pg04hQWUFDbZtvFe0xaF/jNw9gnZpJ3353kX3g55nvXYALqodjc2kV7kRalNiNNpTYjTaH2Ik0VKm2mqUHbMYfjJSUlUVhY/6WqsLCQpKSkutvJyckUFBQ02p6YmEhcXBxlZWV1czs17P3U8DFramqoqKggNjb2qDUc7TlEQoHdsRV2fYUZ/V2/SxERwCSl4tz5AGbMROzC+biz7sYWFxz7jiIiIiIiIe6YIdSgQYP47LPPKC4uprKyklWrVjF48OC67ampqURERLBx40YAli1bxpAhQwgLC6NPnz4sX768bv3B+w0ZMoSlS5cCsHz5cvr06UNY2NE7ZQ0ZMoSsrCxc1yU7O5u9e/fSu3fv43/VIm2IzVoEYeGYYef6XYqI1DLh4Tg//hnmp7fCtk24f5iO3fSZ32WJiIiIiLRqxxyOl5SUxA9/+ENmzJhBMBjk/PPPp3fv3jzwwANMnjyZXr16MXXqVJ588knKy8vp0aMHEydOBOCGG25gzpw5zJs3j5SUFG699VYArrrqKubMmcNtt91GTEwMU6dO/cYaRowYwebNm7njjjsAuOWWW4iIiDjR1y7S6tnqKuyqpZihIzExR+8tKCL+cM4eh+3WE/fJh3AfvgtzyVWYi67QCQRERERERI7A2EMnaGqnQmEs5okKlTGrbYn7URb2rw/hTJ+B6TfE73IaSawoJe/D9/0uo1Vx0jJw9+/2u4xWxckcAJ26AO37PcZWlGP/Phe78j3oewbODbdh4jRs/ES05/YiJ4fajDSV2ow0hdqLNFWotJmmzgl1zJ5QIuIfu3wRJKVCn0F+lyIi38BERcN10+H0gdh/PIk741acG27H9D2j8Y4Hir1F6sXGeYuIiIiItHsKoURaKZufA1+swVw0WUN7RNoAYwxm9AXYHpm4T8zEnXU35qIrMZdcWf8zfKAY98vP/S20lXEyByiEEhEREQkRx5yYXET8YVcsAWsxZ4/zuxQRaQKT0R3nNw9jRozBvvk87iN3Ywvz/S5LRERERMR3CqFEWiFrLfaDRXD6QExqJ7/LEZEmMlHRONdNx/zkVvhqE+6MadhPP/K7LBERERERXymEEmmNNn8BOdmYUd/1uxIROQHOqHE4v50FCcm4f7kH918vYmuCfpclIiIiIuILhVAirZD9YDFERWOGnu13KSJygkznrji//iPmu//hnT1vwcsaniciIiIiIUkhlEgrYyvKsB9nYYadg4mM9LscEWkGJjwC58obcK6ZAuXlsOAl7KbPsdb6XZqIiIiISItRCCXSytiPP4CqSg3FE2mHTOYAuORKSEuHD5fB0rexlRV+lyUiIiIi0iIUQom0MvaDRdCpC/Q83e9SROQkMNEdYNzFcObZsPtreOMFbPZuv8sSERERETnpFEKJtCI2exds2YAZ/V2MMX6XIyIniTEG028wTPw+hIfDu69h16zEujV+lyYiIiIictIohBJpRezyxeA4mBFj/S5FRFqASUqFSVdA777w+WpY+Cq2pMjvskRERERETgqFUCKthK2pwS5fAgPPwsQn+l2OiLQQEx6OGTkWzh0PxYXwrxex2zb5XZaIiIiISLNTCCXSWqxfA0X5OGeP87sSEfGB6d4bLp4MiSnwwWJs1iJsVZXfZYmIiIiINBuFUCKthJu1CDrGw6Cz/C5FRHxiYjrCBZfCGcNg+2avV1TOPr/LEhERERFpFgqhRFoBW1IMn36IGT4GExbudzki4iPjOJhBw2D8ZWAtLJyP/ewTrOv6XZqIiIiIyAlRCCXSCthV70FNEDP6u36XIiKthEnr7A3P69YL1q6CRa9jS0v8LktERERE5LiF+V2ASKiz1mKXLYRTT8NkdPe7HJHmVVUJ2bsAKK8ohcICnwvyWUVFk3Y3EZHYcy6AjG7w4TJ480XsiDGY7r1OUoEiIhvuhK4AACAASURBVCIiIiePQigRv21eD3t3Yq6d6nclIs2vrAx3+2YAauITcIsKfS7IX05aRpPvY4yBXn2wqZ0g611YthDbux+cNQoTruG7IiIiItJ2aDieiM/s0rchOgYz7Fy/SxGRVszEJcCFl0P/IbBlPSx4CZuX43dZIiIiIiLfmkIoER/ZkiLs6g8wZ5+PiYz0uxwRaeVMIIAZOtI7g16wGt6eh12/Fmut36WJiIiIiByTQigRH9kPFkEwiDn3Qr9LEZE2xHTKgIuvhIzu8MlyWPwGtqzU77JERERERL6RQigRn1jX9SYkz+yPSe/mdzki0saYyCg4bwIMPw/2Z8ObL2B3bve7LBERERGRo1IIJeKXDZ9CTjbm3Al+VyIibZQxBpPZHy76AXSIgfcWYD9chg0G/S5NREREROQwCqFEfOIufQs6xmOGnu13KSLSxpn4JJj4A+h7Bmz6HBa8jC3I87ssEREREZFGFEKJ+MAW5MGnH2JGfVenWBeRZmECAcxZo2DcxVBZ7gVRGz/TpOUiIiIi0moohBLxgX3/HXBdTUguIs3OpHfzJi3vnAEfvQ9LFmDLy/wuS0REREREIZRIS7M1NV4I1X8IJrWT3+WISDtkojvA2Itg2GjYuwv+9SJ27y6/yxIRERGREKcQSqSlffYRFObhnDfR70pEpB0zxmD6DIKJ34fwCFj0Onbth1jX9bs0EREREQlRCqFEWpi79G1ISIZBw/wuRURCgElKgUlXQM/T4bOP4d3XsKUH/C5LREREREKQQiiRFmRzsuGLNZhzxmMCAb/LEZEQYcLDMaPGwahxkJ/jDc/btd3vskREREQkxCiEEmlBdtlCMAZzzni/SxGREGR6ng4XTYYOsd6E5R9lYWtq/C5LREREREKEQiiRFmKrq7EfLIJB38EkJvtdjoiEKBOXABMvh9MHwsZ18PZ8bEmR32WJiIiISAhQCCXSQuyaFVBShHPeBL9LEZEQZwJhmO+cA+dNgAPF3vC8rzb7XZaIiIiItHMKoURaiF36NqR2gn6D/S5FRAQA062nNzwvIRmy3sWuWIINVvtdloiIiIi0UwqhRFqA3bsTvvwcc+6FGEc/diLSepjYjjD+UhgwFLZsgAUvYwvy/C5LRERERNohfRsWaQH2vbcgEIYZ9V2/SxEROYxxApghI2DcJVBZAW+9jN28Hmut36WJiIiISDuiEErkJLNlB7AfLMIMOwfTMd7vckREjsqkd4WLr4TUzrDyPXj/XWxVpd9liYiIiEg7oRBK5CSzyxZCZQXmgkv9LkVE5JhMdAf47iUweDjs2Ar/egmbt9/vskRERESkHVAIJXIS2WAQu/hN6DPImwBYRKQNMMZgBp4J4y8D14W352M3rtPwPBERERE5IQqhRE4i+8kHUJiHM/4yv0sREWkyk9YZLp4MnbvCR1mwbKGG54mIiIjIcVMIJXKSWGux77wKnbpA/6F+lyMiclxMZBSMnQRDR8LOrzQ8T0RERESOm0IokZPlyy9gx1bMBf+BcfSjJiJtlzEG03/IIcPzPtPwPBERERFpEn0zFjlJ3Hdfhdg4zIixfpciItIsGg/Pex+WvaPheSIiIiLyrSmEEjkJbPZuWPcRZswkTESk3+WIiDSbxsPzttUOz8vxuywRERERaQMUQomcBHbx6xAIYMZO9LsUEZFm13h4Xg28PQ+76XMNzxMRERGRb6QQSqSZ2QPF2OWLMcPHYOIS/S5HROSkMWmd4aLJ0LkLfLgM3tfwPBERERE5OoVQIs3MLn0bqqowF1zmdykiIiediYqGsRd5w/N2bIMFGp4nIiIiIkemEEqkGdnqauySf0H/IZiMbn6XIyLSIhoNz6vR8DwREREROTKFUCLNyH60DIoKcNQLSkRCUN3wvE4Nh+dV+V2WiIiIiLQSCqFEmom1Fvvua5DRHfoN9rscERFfmKhoOP8iGDKifnhevobniYiIiIhCKJHms3Ed7NqOueBSjDF+VyMi4htjDGbA0NrheUF4az72Sw3PExEREQl1CqFEmon7zqsQl4D5znl+lyIi0irUD8/LgFXL4P13NTxPREREJIQphBJpBnbPDvj8E8zYSZjwcL/LERFpNRoPz9taOzwv1++yRERERMQHCqFEmoF95xUIj8CcN8nvUkREWp264XkXXArBILw1D/vlFxqeJyIiIhJiFEKJnCC7fy92xRLMuRdiOsb5XY6ISKtlTkmHiydDp3RYtRSyFmErK/wuS0RERERaiEIokRNkF7wIgTDMhO/7XYqISKvnDc+7GAYPh6+34M59ELvzK7/LEhEREZEWoBBK5ATY/Xu8XlDnTcAkJPldjohIm2CMwQw80xueV1WJe/8duMve1vA8ERERkXZOIZTICbBv1vaCuvByv0sREWlzzCnpOFN+DZkDsM89jn3qEWxFmd9liYiIiMhJohBK5DjZ/Xuwq97DnDdRvaBERI6Tie2Ic+vvMJddjf3ofdx7b8fu0vA8ERERkfZIIZTIcbJvvgBhYZgJ6gUlInIijOPgXDQZ5/Z7oaIc9/47ObDwVQ3PExEREWlnFEKJHAebvRu7cqnXCyo+0e9yRETaBXP6AJy7H4XT+lHw2L3Ypx/BVpT7XZaIiIiINJOwb7NTVlYW8+bNo6amhkmTJjFhwoRG27dv384TTzxBeXk5ffv25cYbbyQQCJCbm8vs2bMpKioiPT2dadOmERUVRWlpKY899hj79+8nLi6O6dOnk5CQQDAYZO7cuWzbto2IiAimTZtGRkYGwWCQ66+/nrS0tLrnnDlzJo6jDE38Yf/1IoSrF5SISHMzcQk4t/6ejlkLKfp/T2K/3oJz088xXXv4XZqIiIiInKBjpjj5+fn885//5J577uGhhx5i8eLF7Nq1q9E+s2fP5rrrruPPf/4z1loWL14MwFNPPcX48eN59NFH6dmzJy+//DIAzz//PH379mXWrFmMGzeOv/3tbwAsWLCAyMhIZs2axbXXXsvjjz8OwI4dO8jMzOSPf/xj3aIASvxis3dhVy3FjLkIE6deUCIizc04DnFXXY9z+z1QXo57/+24i17Duq7fpYmIiIjICThmkrNu3ToGDBhAbGwsUVFRDB8+nJUrV9Ztz8nJoaqqiszMTADGjBnDihUrCAaDbNiwgREjRtStP3i/1atXM3r0aABGjRrF2rVrCQaDrFmzhnPOOQeAfv36UVxcTG5uLlu2bKG4uJhf/vKX/OY3v2H9+vXNexREmsC++QKEh2Mu/J7fpYiItGvm9IE4v3sM+g/FvvA07uw/YIsL/C5LRERERI7TMUOogoICEhPre3skJiaSl5fXaHtCQkKj7fn5+ZSUlBAdHU0gEDjsfg0fMxAIEB0dTXFxMfn5+Y2eKyEhgby8PIwxDBs2jHvvvZcbbriBWbNmUVxcfIIvXaTp7N5d2A/fx4ydhIlLOPYdRETkhJiOcTj/9RvMj38Gmz7H/f007LqP/C5LRERERI7DMeeEOvTMNNZajDF1t13XbXT74PZD9wPqhtAd6TEdxzniWXCMMVxwwQV1t3v06MFpp53Gpk2bGDZs2LHKr5Oenv6t9w1lOk7fLO/vj1MeEUHn//wZgYQkv8vxVfm2zSTEK4hryI3pgKNj0sihxyTU24zayOECCYlEH+V3T6PfST+6nurRY8l76DdUz76H2EuuJOG6aZiIyBaqVNoCfY6RplKbkaZQe5GmUps53DFDqKSkJDZu3Fh3u7CwkKSk+i/fycnJFBQUNNqemJhIXFwcZWVluK6L4ziNej8lJSVRWFhIcnIyNTU1VFRUEBsbS3JyMoWFhXTq1KnRcy1btozMzMy69dbauh5W39aePXuatH8oSk9P13H6BnbvTtylCzHjv8e+sgooC+1jlQgUFhX6XUar4kTG4OqYNNLwmCTEJ4R8m1EbOZxTWEDBEX73HPF3UlgU9s4HMPOf5cAbL3Bg9UqcG+/AZHRvoWqlNdPnGGkqtRlpCrUXaapQaTNNDdqOORxv0KBBfPbZZxQXF1NZWcmqVasYPHhw3fbU1FQiIiLqgqply5YxZMgQwsLC6NOnD8uXL69bf/B+Q4YMYenSpQAsX76cPn36EBYW1mj9xo0bCQ8PJyUlhe3bt/Pmm28CXpi0fft2+vbt26QXKnKi7JsvQESk5oISEfGRCY/AufIGnFt/B8WFuPfepknLRURERNoIY480Bu4QWVlZvPLKKwSDQc4//3wuvfRSHnjgASZPnkyvXr3Yvn07Tz75JOXl5fTo0YMpU6YQHh5OTk4Oc+bMoaioiJSUFG699VZiY2M5cOAAc+bMYd++fcTExDB16lTS0tKoqqrir3/9K9u2bSM8PJybb76Znj17UlZWxty5c+tSxJ/+9KcMGDCgSS80FBLIExUqSe3xsHt24P5+KubCy3G+f63f5bQKiRWl5H34vt9ltCpOWgbu/t1+l9GqNDwm6gmlNnIkTuYA6NTlsPXf5neSLS7AfeYvsO4jyByA85NpmNROJ6tUaeX0OUaaSm1GmkLtRZoqVNpMU3tCfasQqj0Ihf/8ExUqPyTHo+bx+2H9WpwHnsJ0jPO7nFZBIdThFDAcTiFUY2ojhzuREAq8Ifr2g0XYF54CC2bydZhzxh82L6W0f/ocI02lNiNNofYiTRUqbabZh+OJhDq74VNYsxIz8QcKoEREWhljDM7oC3B+PxtO7Y19bg7uY3/AFuYd+84iIiIi0qIUQol8A1tTg/vCU5Cchhl/md/liIjIUZjkNJzb7sFcdRN8+Rnu76birlp6xDPvioiIiIg/FEKJfAO7bCHs/hpn8nWY8Ai/yxERkW9gHAdn3MU4d/0ZOmVgn3oY94mZ2OLQHgYqIiIi0loohBI5Cltagn3t73D6QBgy0u9yRETkWzKdMnB+8SDm8mth3Ye4d/8X7vLF6hUlIiIi4jOFUCJHYV/7B5SV4lx1oya4FRFpY4wTwJn4fZy7HvV6Rf3tz7iz7sbu3+t3aSIiIiIhSyGUyBHY3V9jl76FOW8CpsupfpcjIiLHyaR3w/n5g5gf3wLbN+P+firuW/OwwaDfpYmIiIiEHIVQIoew1nqTkUd1wFz6I7/LERGRE2QcB2fMJJwZc2DAUOz8Z3Dvux27fbPfpYmIiIiEFIVQIodauwo2fIq59EeY2Di/qxERkWZiEpMJTPk1zs9+CSVFuPffifvC09iKcr9LExEREQkJYX4XINKa2Ooq3Jf+B9K7Yc6b6Hc5IiJyEpihZ+P0GYSd9yx20WvYj9/HfP9azPAxmgNQRERE5CRSTyiRBuyi1yEnG+fKGzCBgN/liIjISWI6xOJcMwXnlw9BfBL26Vm4M3+B/XqL36WJiIiItFsKoURq2cI87L9ehMEjMP0G+12OiIi0ANOrD86v/4S5dirs34t73+24z/4FW1zod2kiIiIi7Y6G44nUsvOfhZogzhU/9bsUERFpQcZxMKMvwA49G/vm89h/v4n9+APMJVdhxl6ECdPHJREREZHmoJ5QIoDdtgm7YgnmgksxaZ39LkdERHxgOsTgTL4e53ezoWcm9sWncWdMw65dhbXW7/JERERE2jyFUBLybHU17rN/gfgkzKQr/C5HRER8Zjp3wbn19zj/57fgurhz7sN98OfYjev8Lk1ERESkTVP/cgl59rW/w+6vcabdjYnq4Hc5IiLSChhj4Izv4PQfil2+GPvG87gP/xb6Dca57BpMj9P8LlFERESkzVEIJSHNblmPfecVzDnjMQPP8rscERFpZUxYGObcC7Ejx2Lfewu74CXc+2+HoSNxLv0xJr2b3yWKiIiItBkKoSRk2Ypy3P95FJLTMJOv87scERFpxUx4BOaCS7GjL8Aueh37ziu4a1ZhRozBTLoC0ynD7xJFREREWj2FUBKy7Mt/g9x9OHfcp2F4IiLyrZjoDphLrsKOmYR9ex52yb+wK5fAkJE4Ey7H9Mj0u0QRERGRVkshlIQk+/lq7NK3MeMvw2QO8LscERFpY0zHOMwVP8VeeBl28ZvY9xbgrl4Opw/EufByGDDUm1dKREREROoohJKQY0sP4D7zGHTuirnsar/LERGRNszEJWK+dw124vexy97BLnod97EZ0OVUzIWXY84ajQnTxy0RERERAMfvAkRamv3Hk1BShHP9dEx4hN/liIhIO2CiOuCMvwzn/icxP70VamqwTz+C+5ubcd96GVtU4HeJIiIiIr7Tn+YkpNiPs7AfLsX8x48w3Xv7XY6IiLQzJiwcc/Y47Iix8PknuO+8ip3/LPa1v8Pg4TjnXgh9zsA4+jugiIiIhB6FUBIybFEB7t/nwqmnYSb+wO9yRESkHTOOA4OGERg0DJu9C/v+O9jli3E/WQ6pnTDnjMecPQ4Tn+h3qSIiIiItRiGUhARrLe6zf4HKSpzrpmt+DhGR1qKqErJ3Hba6vKIUCtvHEDYDmHPGY0eOxa5f6/XKnf8s9tX/B33OwDljGJzWHxMe7t0hNs5bRI7mQLG3SD393IiItAn6Ji4hwb6/ENZ9hLnyBkznLn6XIyIiB5WV4W7ffNjqmvgE3KJCHwo6yaKiMaMvwA48C7ash60bcNevgfAI6HoqdO+Nc+4EjL5Myzc5UIz75ed+V9GqOJkDFEKJiLQBCqGk3bOb12P/8VfoNxhz/sV+lyMiIuINwztzFHbICMjeDdu3wM6vYNuXuCuWYM48G3PWOdBnkHrvioiISLuhTzXSrtncfbhzH4DkNJybfq6JYEVEpFUxTgDSu0F6N2xNDWTvwuTnYlevwH6wGGI7YvoNhQFDMf0HY+I0h5SIiIi0XQqhpN2yFeW4f7kXgkGcqb/FxMT6XZKIiMhRmUAAMrrjjL0Im5wGX6zBfrIc+8Vq+HApFqBbL0z/IZgBQ6FnH/WSEhERkTZFn1ykXbKui/v0I7BnJ86tv8N00jxQIiLSdpjwCBg8HDN4ONZ1YedX2M8/wX6xGrtwPvatlyEq2huud1p/TO++0K0nJizc79JFREREjkohlLRL9rW/w9pVmKtuxPQf4nc5IiIix804DnTvheneCy6ajC0rhY3rvEDqizXYtau8XlJh4XDqaZhefTC9+3g9peIS/C5fREREpI5CKGl33FVLsQtewpwzXhORi4hIu2M6xMDQkZihIwGwhXmwdRN26wbs1o3YRa9jF873dk7t5PWQ6nIqpsupkHEqJKdpjsQ2zFoLlRXY0hKoqoJgEILV9Zc1DW8Hwa0B14WamtrrNVDj1q/H4qWYUHfFNrjuOGAC3uVhSwDCwrwANCzcux4eXn87PBwiIiEyCsIjMMa0+PESEZHWRSGUtCt22ybs/z4GmQMwP7pZH3ZERKTdMwnJcObZmDPPBsBWV8HXW7xAautG2LHNm1vq4B0io6FLd0zGqd5lWjqkngJJaa1zjqkDxd5yDOUVpVBY0AIFnTgbDEJFGZSXe5cVZdiD18vLoKK8brut3V6/b3ltePQtOQEIBOpDI8dpcNsBDBio/QcO/ezkumBd7/KwpcYLvKzlmIzBhkd4gdTBYCoyEqI7QFQH77Lh9cgofY4TEWmHWuEnDZHjY/NzcR+/HxKScG75pebFEBGRkGTCI6B3P0zvfnXrbEU57NmB3bUddm3H7v4a+3EWLHu7PpxyHEhKhdROmNRO9ZcJyRCfCPGJ3mO3tAPFuF9+fszdauITcIsKW6Cg2t5I1VVQWQnVlfWXVVVQVVm7VEFVxRHWVXq9lb6J43hBTcMlLgFS0iAiEpOUhq2qgPCI2p5HYfU9kcLCIXDwMnDSgxxrrRdIBau9pbq6vidWde3rraz0jsXBy6pKqKyAogIvVDvS8XAcbFQ0xHSEDrEQE+tdj6m93iFWQZWISBukEEraBVtZiTvnPqiowJl+D6ZjnN8liYiItBomKhp6no7peXrdOmstFOXD/r3YnH2QsxdysrE52djVy+FACYf1b+kQCwlJXiAV7116wUAMpkNsfVhw8Hp0h1Yz9M9a22DoWoOwpC40abiuqv521aHhUqW3/ZsY4wVEDUOk+A4NbkccHjJFREB4JERGYgLf/BHdScvA3b+7GY/O8TPGeD2rAgGvd1MTeYFedYNeYLWX5WVQVgplByA/B3Z+5fW8aigQhu0YB7HxuFs3wam9awPUzpCcqj9Iioi0QgqhpM2zVZW4TzwIO7fh/NdvMRnd/C5JRESk1TPGeL2cEpIxmQMO227LSiF3HxTlYwvzvV4rRQW11/Ox+z6H4gIv2IHDA6uDDg1dwg+5Xjs0zDhHGTJWesCb98ra+mFfB69bWze3UYkx2KrK+jmPDs6B1DBc+vYHx6stLKy+1phYSExqULsXGBEeUXvZIFAKD1cPnW/JGFPbPiK83l5HYa31ek2VHYDSA1BaAgdKvKGaJUXYj5bB8sX17dA4kJwKnbp4Z0nu3AXTuat3Gas/VoqI+EUhlLRpXg+oe2HjOsw1/4U5Y5jfJYmIiLQLpkMMdOsJ9ORocYq11usZVHrACwdqF1ta24OlrLS251D9cDTbsEfRgeK6+YVsTY0391DdBNq18w4dDJoOzl1kTO312qU2sLLhEV4SFgiHiIPzIAXqJ8g+0uXRtjknfxibNI0xpn7eqOS0w7ef1t/blrMPW9urj317sHt3YTd9BtVV9QFVx3jolEF+r9Nx45MwnbxwisSUVtNzT0SkvVIIJW2WrSjHnX0PbF6P+ck0nLPH+V2SiIhISDHG1E4wHQVJKfXrm/NJsnd9qzmh4uITKGyhOaGk9WnUs++0fo22WdeFvP2QvQu7dyfs3YXN3kX5B//GlhTVh1MRkV7Pqc5dvMv0btDlVEg5ReGUiEgzUQglbZItK8V9bAZ89SXm+uk4w8/zuyQRERERaYWM48DByfYHnlW3vnPnzuzZtKEulGLvTq/n1OYvYNXSBmeUjIKM7pguPaDLqZgup3qX0R38eDkiIm2aQihpc2zpAdxHf+fNAXXTz+tOSS0iIiIi8m0ZYzBxCRCXgDm98bxotqLcC6UOnlFy13bsx+83PqNkcpoXRnXt4QVTGadCWidvfjMRETkihVDSptiSYtxH74Y9O3Bu+SVm8HC/SxIRERGRdsZERUOPTEyPzLp11looyPVCqZ1fwe6vvXBq3cdY63o7RUTW9po61QuouvX0LqPUa0pEBBRCSRtiiwtwH7kb9u3B+a/fYAac6XdJIiIiza+qErJ3+V1F61FR4XcF0hYcx89NeUUpFBZ86/3r5jpL64xJ6wy1vfFtdRXsz8bu2+3NO5W9G/vxB/D+O16vKWMgKbXBXFNdoXPXk3uWvtg4bxERaWUUQkmbYAvzcB++C/L340y7G9P3DL9LEhEROTnKynC3b/a7ilbDScvwuwRpC47j56YmPgG3OSezj+0Ivftievf1ek2VlUJ+rtd7Kj8H+9Vm+Hx1/XC+6A6QmOJN6p+UAomp0DGuWc7M6GQOUAglIq2SQihp9eymz3H/+49QUY4z7feHjdkXEREREWlNjDEQE+stXU+tW2+rKhsEU144xd6dYGujqfBwbGJK43AqPgkT0DxTItI+KISSVstai104H/vKc5DaGef/zvDG14uIiIiItEEmIhI6ZXhLLVsThML8xuHU1g2wKejt4DjY+ERISq0PpxJTMBERPr0KEZHjpxBKWiVbdgD3fx6FTz+EM8/GuXaaToMrIiIiIu2OCYR5Z9pLTqtbZ10XDhR7PaUOhlO7v4atG+v36RjXoMdUbUAV3aFZhvOJiJwsCqGk1bE7tuI+MRPyczBX3oAZd4l+mYqIiIhIyDCOA3EJ3nLqaUDt2fnKy+rmmCI/DwpyYMe2+jtGRWOTUnC3b4G+Z2C69vQmUnccn16JiEhjCqGk1bDWYrPexf7jSYiNw7nzAUyvPn6XJSIiIiLiO2MMdIjxlozudettVSUU5DUazmeXL64/O19kFHQ5FdOtJ3Tt6V2md8eEh/v2WkQkdCmEklbBVlZi//GE9wuz7xk4N96B6Rjvd1kiIiIiIq2aiYiEU9K95eC6nqeD62J3fgU7tmF3bMOuWAJLFnjBVCAAnbp4gVS3nl6Pqa49MB1ifXsdIhIaFEKJr6y1sGYl7otPe8PvLr4Kc8mVGEdnABEREREROR4mLLw2ZOoFo7x11nUhN9sLpXZ+5QVT69fCiiXYg3dMOcULo7r1xHTp4fW4Sk7TcD4RaTYKocQ3du8u3Of/G9avgYzuOLffhzl9gN9liYiIiIi0O8ZxIC0d0tIxZ42uW2+LCmCn11uKg+HUmpX1wVRkFHTuisno5g3jy+gOGd0gPknztopIkymEkhZnK8qwb76AXfQ6RERhrroRM2YSJqDeTyIiIiIiLcnEJ0L8mZgBZ9atsxVlsHsHds8O2P01ds8O7GefwAeL68OpDrGQ3s0LpzK6Y9K9cMrExvnyOkSkbVAIJS3GWotdtRT78v9CUT5m1Hcxl/8nJi7B79JERERERKSWieoAvfocdpIgW1IEexqEU7t3YD96H5a+XR9OxSd64VR6NzglA9MpA07JgMRk9ZwSEYVQcvJZa2HrRtz5z8Dm9dC9N86UX3kTJoqIiIiISJtgOsbD6QMxpw+sW2ethcL8uh5T7KkNp7LehcqKxsP6TknHnJIBtcGU6dTFWxcV7cvrEZGWpxBKThpbU4NdvQL77qvw1ZcQG4f5z//j9YDS5IYiIiIiIm2eMQYSk72eTgOG1q2vC6eyd2H37Ybs3dh9u7FffQkfZ4G19QFVQjJ0qu81Vd97KgUTpq+sIu2JfqKl2dmyUmzWu9jFb0B+DqR1xvzoFszZ52Mio/wuT0RERERETrJG4VTfMxpts9VVsH+vF0xl74J9u7HZu7EfLoOy0vpwynEgKRVSO2FSToHUTpDSCZNae71DrIb4ibQxCqGk2di8/dhFb2Cz3oGKcsjsj/PDG2HQMIyjScdFRERERARMeARkdPcmNG+w3loLJUVeOLV/D+Tug5x9aJ1OOwAAFPNJREFU2Nxs7NpV3jaoD6miYyD1lPpgKuUUTEonL6BKTsWEhbf0SxORY1AIJSfElhRj167EfvIBrP8UHIM5czTmgv/AnHqa3+WJiIiIiEgbYYyBuASIS8Bk9j9su60o94Kp3Gxszj7Iycbm7vMmS1/3EQSr6wOqg4+VmAJJqZikBpe164hL0DQhIi1MIZQ0mS0uwK5eiV29HDZ9Bq7rdZGdcDlmzERMUqrfJYqIiIiIhK6qSsje5XcVzc4AhIVBpy7epOYNWNeFA8WQn4vNz/HmoyouwBYVwI6t2M8/garK+pAKIBAGCUler6mDwVRSCiYx1RtKmJDkzWuroEqk2SiEkmOy1sL+vdgvVmM/WQ6bvwBrvUkDJ3wfc+bZ0LWnxmOLiIiIiLQGZWW42zf7XYV/Yjt6C/XD/cxp/b2eUfm59UFVQQ7k5WILcrBbNkBhFtTUHBJUBaBjAvvSTqEmOhYTn+SFU/GJmIQkiPeuExevKUhEvgWFUHIYW1MDu77Cbv4Cu3kDbFkPxYXexvRumIuvxJw5yruu4ElERERERFo5YwzEdPSWrj040rcY69Z433vyvJ5Utijf61FVVIBTUQb79mC3bvR6XEHjsMo4XsgVnwgJSZj4ROgYDx3joGMCpmM8xMVDbLzXu0pn/ZMQpZYf4qzrQt5+2LOTovf2U7NmFWzdBJXl3g7JaZh+Q+C0vpjMAYd1exUREREREWkPjBOAhGRvgUZBVWp6Onv27AHABquhqBCKvIDKFuY3vl6Qi/16Kxwogpoa7z6HPllMx9qAKt4LqQ4GVHHxXmAVG1cfmsV0hIgIdQCQdkEhVIiwNTVe2LR3J3bPDthTe5m9E6qqACg2xjtDxdljoXc/TO9+3sR9IiIiIiIiAuCddS851VvgiL2qoPYP/uWl3ln9iougpAhbUgglxVBSCMVF2JIi7zval59DaQlYe3hgBRAWXhtIxXpDDTt0xMTEeutivfUmpiN0iK3fL6oDREdrmKC0Kt8qhMrKymLevHnU1NQwadIkJkyY0Gj79u3beeKJJygvL6dv377ceOONBAIBcnNzmT17NkVFRaSnpzNt2jSioqIoLS3lscceY//+/cTFxTF9+nQSEhIIBoPMnTuXbdu2ERERwbRp08jIyMBay3PPPcfq1asxxnDzzTfTp0+fk3JA2hprrTfx4IFi742tIAebnwv5Od5Y5wJvzDNFBWDd+jsmpkDnrphzJ0J6V0znrnQ+czjZRcX+vRgREREREZF2wjhOfU+m2hEl39SXydbUQGnt97rSEjhQgi0tgdID3u2yA9gDxd7tnL3Y7QegrKSuU8ERwyuAyGiIjoboGIiqvYyOxkTH1AZV9Ys5eD0yGiIjISIKIqMgIhIiIxVoyQk7ZgiVn5/PP//5T2bOnElYWBh33XUXAwYMoEuX+mFZs2fP5uabbyYzM5O5c+eyePFixo8fz1NPPcX48eMZNWoUL7/8Mi+//DJXX301zz//PH379uVXv/oVy5Yt429/+xvTp09nwYIFREZGMmvWLNavX8/jjz/Offfdx6pVq9i9ezePPPII2dnZPPjgg8yaNYtAIHR+AGxBHvbteV4XzwPFtW9KxXCgBILVh98hIgISa8/u0G8wJKV4Q+s6d/XCpw4xh93FiYkFhVAiIiIiIiItzgQCEJfoLQfXfYv72arK+qCq9ACUFmPLSqGiDMrKvMtyb7HltbcLcr3r5WX1U7HwDUHWQWHhXigVGekFUxG112uDKnPwdngkhIdBWASEh3tLWO0SHuH1JjtkXaP9A2HepPBOAAKOd9sJgOO0mWGJ1lpv6GZ1tfedvbrKu14T9M7wGKJnXTxmCLVu3ToGDBhAbGwsAMOHD2flypX84Ac/ACAnJ4eqqioyMzMBGDNmDC+++CLnn38+GzZs4M4776xb//vf/56rr76a1atXM2PGDABGjRrF008/TTAYZM2aNUyePBmAfv36UVxcTG5uLqtXr2bUqFE4jkN6ejopKSls2rSJfv36Nf8Raa3y9mHXrvR+0GPjvECpe+/aMz9444VNx3gvbEpMhdiObeaHU0RERERERI6PiagNhBKT69c14f7WrYGKcigv94YPHgymKiuxlRXeyJuqCqishMqK+utVDbYfKIHKHC8Qq6r0emcFawOXIz3nibxgx6kNpwINgqpAXUjlBVbGOwqmwQKH3P6G7dZ6i+uCW1N76Xqji1xbe+kesr7B9WCQXcFq7zGOwFx+LWbi90/kKLRZxwyhCgoKSEysT2ITExPZsmVLo+0JCQmNtufn51NSUkJ0dHRdb6XExETy8vIOe8xAIEB0dDTFxcXk5+c3eq6EhATy8vIOe46EhATy8/Ob9ELT09ObtH+rk54O5363BZ6mjR8naVFdep7mdwnSxsT6XYC0KWov0lRqM9JUajPSFPquJHLijtn/yx6S3FlrG/WwcV230e2D2w/dD8Cp7W52pMd0HOew9eCdSvPQ5zi4XkRERERERERE2oZjhlBJSUkUFhbW3S4sLCQpKanudnJyMgUFBY22JyYmEhcXR1lZGa7rTYbdsPdTw8esqamhoqKC2NhYkpOTj/hcR3sOERERERERERFpG44ZQg0aNIjPPvuM4uJiKisrWbVqFYMHD67bnpqaSkREBBs3bgRg2bJlDBkyhLCwMPr06cPy5cvr1h+835AhQ1i6dCkAy5cvp0+fPoSFhTVav3HjRsLDw0lJSWHIkCFkZWXhui7Z2dns3buX3r17N++REBERERERERGRk8bYI42BO0RWVhavvPIKwWCQ888/n0svvZQHHniAyZMn06tXL7Zv386TTz5JeXk5PXr0YMqUKYSHh5OTk8OcOXMoKioiJSWFW2+9ldjYWA4cOMCcOXPYt28fMTExTJ06lbS0NKqqqvjrX//Ktm3bCA8P5+abb6Znz55Ya3nuuedYu3YtANdeey1nnHHGST84IiIiIiIiIiLSPL5VCCUiIiIiIiIiInIijjkcT0RERERERERE5EQphBIRERERERERkZNOIZSIiIiIiIiIiJx0CqFEREREREREROSkC/O7AGkZGzdu5JlnniEYDNKxY0d+9rOfkZqayvr16/nTn/5EcnIyQN3ZDUtLS3nsscfYv38/cXFxTJ8+nYSEBILBIHPnzmXbtm1EREQwbdo0MjIyfH510tKysrKYN28eNTU1TJo0iQkTJvhdkvjkpZdeYsWKFQAMHTqUq6++mscff5yNGzcSGRkJwBVXXMF3vvMd1q1bx7PPPktVVRVnn302V111FQDbt2/niSeeoLy8nL59+3LjjTcSCAR8e01ycs2YMYOioqK6/+ObbrqJffv2HfE9RW0mtC1evJi333677vb+/fs599xzqays1HuMNFJWVsZdd93FL37xC9LS0prcFnJzc5k9ezZFRUWkp6czbdo0oqKijvp5WNq+Q9vMokWLeOuttwDo1asXN910E2FhYbz00kssWbKEmJgYAMaNG8eECROa3Jak7Tu0zTTX592QbDNWQsKUKVPs9u3brbXWLl682M6cOdNaa+3rr79u58+ff9j+Tz31lH3llVestdYuXbrUPvLII9Zaa1977TX75JNPWmut/eKLL+yvf/3rlihfWpG8vDw7ZcoUW1JSYsvLy+0dd9xhd+7c6XdZ4oNPP/3U/va3v7XV1dW2urrazpgxw65atcredtttNj8/v9G+lZWV9pZbbrH79u2zwWDQ3nvvvXb16tXWWmtvu+02u2nTJmuttY8//rhduHBhi78WaRmu69qbbrrJBoPBunVHe09Rm5GGduzYYadOnWqLior0HiONfPnll/b222+3V111ld23b99xtYUHHnjAZmVlWWutfemll+xzzz1nrT3652Fp2w5tM7t377ZTp061paWl1nVdO3v2bPvGG29Ya722cbDNNNTUtiRt26FtxlrbbL+LQrHNaDheCKiurubKK6+ke/fuAHTv3p3c3FwAtm7dyrp167jjjjuYOXNm3frVq1czevRoAEaNGsXatWsJBoOsWbOGc845B4B+/fpRXFxcdx8JDevWrWPAgAHExsYSFRXF8OHDWblypd9liQ8SExO55pprCAsLIywsjIyMDHJzc8nNzWXu3LnccccdvPjii7iuy5YtW+jcuTNpaWkEAgHOOeccVqxYQU5ODlVVVWRmZgIwZsyYup5V0v7s2bMHgHvvvZc777yTt99++6jvKWoz0tBTTz3FD3/4QyIjI/UeI40sXryY66+/nqSkJIAmt4VgMMiGDRsYMWJE3fqDn2uO9nlY2rZD20x4eDg33HADHTp0wBhDt27d6r7fbNu2jfnz53PHHXfw9NNPU1VVdVxtSdq2Q9tMZWVls/wuCtU2o+F4ISA8PJxzzz0XANd1eemllxg2bBgAHTp0YOTIkQwfPpx33nmHP//5z9xzzz0UFBSQmJgIQCAQIDo6muLiYvLz8+vWAyQkJJCXl0dKSkrLvzDxRcO2AV4QsWXLFh8rEr907dq17vrevXtZsWIFf/jDH/jiiy/qPsw9+OCD/Pvf/yYqKqrREIaEhATy8/MpKChotD4xMZH8/PwWfR3SckpLSxk4cCDXXXcdwWCQGTNmMHLkyCO+p+Tn56vNCOD98aOqqoqRI0eyb98+BgwYoPcYqXPLLbc0ut3U946SkhKio6PrhmgmJiaSl5cHcNTPwwe/iErbdGibSU1NJTU1FYDi4mIWLlzIlClTqKiooEePHlxzzTV06tSJOXPmMG/ePM4888wmtyVp2w5tM4WFhc3yuyhU24xCqHZmxYoVPPPMM43WZWRkcNdddxEMBvnLX/5CTU0N3/ve9wBvLo6Dxo8fzz/+8Q/Kysqw1jZ6DGstjuMcth7AGHMSXom0VkdqG2oDoW3nzp08+OCDXH311aSnp3PnnXfWbZs4cSJLly5lxIgRh7UTYwyu6zZar/bUvmVmZtb9FRBg7NixPPvss1x++eV16w62gSO1BbWZ0LRo0SIuuugiAE455RS9x8g3aup7x5H2dxynbp9DH/vgNml/8vPzuf/++xk7diz9+/cH4Fe/+lXd9ksuuYS5c+cyZMiQJrclaV+a63dRqLYZhVDtzMiRIxk5cuRh6ysqKpg5cyYdO3bk5z//OWFhYbiuy6uvvspll13WqLE7jkNSUhKFhYUkJydTU1NDRUUFsbGxJCcnU1hYSKdOnQAvBdZfg0JLUlISGzdurLutNhDaNm7cyMMPP8xPfvITRo0axY4dO9izZ09dt2JrLYFAoO6946DCwkISExNJTk6moKDgsPXSPm3cuJHq6moGDhxYty41NfWwtpGUlKQ2IwAEg0HWr1/PlClTAPQeI8fU1LYQFxdHWVkZruviOE6j3k9H+zws7c/u3bu57777mDhxIpdccgkAubm5rFu3jvPPPx9o/H7T1LYk7Utz/S4K1TbT/mM2AeCxxx6jU6f/397dhES1xnEc/814ZoxUosHU0I1iKC3KkTDBQJBCyIXgQgUX0UbJYdR0IROBLwgu2rhxYZteyIhahJtwUJARGXQWLXIzm94wopoWOUwNyTjnLqJzr5hXvHfOHa59P6uZ5zAP/wN/nnP4zXk4JRoYGJDL5ZL0I2yKRCLWvtNQKKRTp07pyJEj8nq9CoVCkqRwOKzq6moZhrFjPBqNyuVysRXvN3PmzBmtr68rHo/r+/fvWltbU01NTbbLQhZ8/vxZt27dUn9/vxoaGiT9uAjfu3dPiURCqVRKi4uLqqurU2Vlpd6/f68PHz4onU5rZWVFXq9XJ06ckNvttoLN5eVleb3ebJ4WbPT161c9ePBAW1tbSiaTCoVC8vv9v1xT6BlI0tu3b3Xy5EnrTUGsMdjPQXvBMAxVV1crHA5b4z/va/a6H8bhkkwmNTExoc7OTiuAkiS3263Z2Vl9+vRJpmkqGAyqrq7uH/USDpdMXYt+155xmL/aX4VD5fXr1xoeHlZZWZm139Tj8SgQCGhjY0MzMzP69u2bjh07Jp/Pp8LCQiUSCU1PT+vjx4/Ky8uT3+9XUVGRtra2dPv2bb169Uoul0s9PT2qqKjI8hniv7aysqKnT58qlUqpqalJra2t2S4JWXDnzh0tLS2puLjYGrt06ZJM09T8/Ly2t7d1/vx5dXV1SZLW19etV9Z6vV5duXJFDodDb9680czMjJLJpMrLy9Xb22uF5Th8Hj16pLW1NaXTaTU3N+vy5ct7rin0DMLhsCKRiAYGBqyxYDDIGoNdfD6fRkZGVFRUdOBeiMVimp6e1ubmpgoLC9Xf36/8/Pw974dxOPzsmUgkoocPH6q0tNQ6du7cOXV0dGh1dVVPnjxRKpVSVVWVuru7ZRjGgXsJh8Nf15lMXYt+x54hhAIAAAAAAIDt2I4HAAAAAAAA2xFCAQAAAAAAwHaEUAAAAAAAALAdIRQAAAAAAABsRwgFAAAAAAAA2xFCAQAA2KS9vV3xeHzH2OrqqkZHR/f97eTkpN69eydJmpiY2DUPAADA/42R7QIAAACwWyAQsD6/ePEii5UAAABkBiEUAABAljx+/FixWExfvnxRLBaTx+OR3+/X8ePH5fP5NDg4qGAwKEkaGxtTIBDQ8+fPtbCwIMMw5HK51N3drbKysiyfCQAAwP7YjgcAAJBF0WhU169f19TUlHJzc7WwsLDjeG9vryRpZGREHo9Hd+/e1Y0bNzQ5OamLFy8qGo1mo2wAAIAD40koAAAAmzgcjl1j6XRaTuef/wOePn1aR48elSSVl5crkUjsOZ/T6VR9fb1u3ryp2tpanT17VhcuXMh84QAAADbgSSgAAACbFBQU7AqVNjc3lZ+fb313u907jpum+bdz9vX1aXh4WCUlJZqbm9PU1FTmCgYAALARIRQAAIBNampq9OzZM6XTaUlSIpFQKBRSbW3tgeZxOp3a3t5WPB7XtWvXVFBQoJaWFnV0dOjly5d2lA4AAJBxbMcDAACwydWrV3X//n0NDQ0pJydHpmmqsbFRjY2NB5qnvr5eo6OjGhoaUltbm8bHx+V2u5WTk6Oenh6bqgcAAMgsh7nfM98AAAAAAADAv8R2PAAAAAAAANiOEAoAAAAAAAC2I4QCAAAAAACA7QihAAAAAAAAYDtCKAAAAAAAANiOEAoAAAAAAAC2I4QCAAAAAACA7QihAAAAAAAAYLs/ACa0z/2Yklz0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(df_all[\"Units\"]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}