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ped_cyc_ksi_report.html
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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Profile report</title>
<meta name="description" content="Profile report generated by pandas-profiling. See GitHub.">
<meta name="author" content="pandas-profiling">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.3/jquery.min.js"></script>
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.6/css/bootstrap.min.css"
integrity="sha384-1q8mTJOASx8j1Au+a5WDVnPi2lkFfwwEAa8hDDdjZlpLegxhjVME1fgjWPGmkzs7" crossorigin="anonymous">
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.6/css/bootstrap-theme.min.css"
integrity="sha384-fLW2N01lMqjakBkx3l/M9EahuwpSfeNvV63J5ezn3uZzapT0u7EYsXMjQV+0En5r" crossorigin="anonymous">
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.6/js/bootstrap.min.js" integrity="sha384-0mSbJDEHialfmuBBQP6A4Qrprq5OVfW37PRR3j5ELqxss1yVqOtnepnHVP9aJ7xS" crossorigin="anonymous"></script>
<script>
$(function () {
$('[data-toggle="tooltip"]').tooltip()
})
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// prevent default anchor click behavior
e.preventDefault();
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var hash = this.hash;
// animate
$('html, body').animate({
scrollTop: $(hash).offset().top
}, 300, function(){
// when done, add hash to url
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window.location.hash = hash;
});
});
</script>
</head>
<body>
<meta charset="UTF-8">
<style>
.variablerow {
border: 1px solid #e1e1e8;
border-top: hidden;
padding-top: 2em;
padding-bottom: 2em;
padding-left: 1em;
padding-right: 1em;
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margin-top: -1em;
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text-align: left;
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margin-left: 0;
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.ignore {
opacity: 0.4;
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.container.pandas-profiling {
max-width:975px;
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.col-md-12 {
padding-left: 2em;
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.indent {
margin-left: 1em;
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.center-img {
margin-left: auto !important;
margin-right: auto !important;
display: block;
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/* Table example_values */
table.example_values {
border: 0;
}
.example_values th {
border: 0;
padding: 0 ;
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.example_values tr, .example_values td{
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/* STATS */
table.stats {
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.stats th {
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font-weight: 600;
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.stats tr {
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.stats td{
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/* Sample table */
table.sample {
border: 0;
margin-bottom: 2em;
margin-left:1em;
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.sample tr {
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.sample td, .sample th{
padding: 0.5em;
white-space: nowrap;
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.sample thead {
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.histogram {
margin-top: 3em;
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/* Freq table */
table.freq {
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table.freq th, table.freq tr, table.freq td {
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.freq thead {
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overflow: hidden;
text-overflow: ellipsis;
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td.fillremaining{
width:auto;
max-width: none;
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td.number, th.number {
text-align:right ;
}
/* Freq mini */
.freq.mini td{
width: 50%;
padding: 1px;
font-size: 12px;
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width:100%;
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.freq.mini th {
overflow: hidden;
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white-space: nowrap;
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font-weight: 400;
text-align:right;
padding-right: 0.5em;
}
.missing {
color: #a94442;
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.alert, .alert > th, .alert > td {
color: #a94442;
}
/* Bars in tables */
.freq .bar{
float: left;
width: 0;
height: 100%;
line-height: 20px;
color: #fff;
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background-color: #337ab7;
border-radius: 3px;
margin-right: 4px;
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.other .bar {
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<div class="container pandas-profiling">
<div class="row headerrow highlight">
<h1>Overview</h1>
</div>
<div class="row variablerow">
<div class="col-md-6 namecol">
<p class="h4">Dataset info</p>
<table class="stats" style="margin-left: 1em;">
<tbody>
<tr>
<th>Number of variables</th>
<td>41 </td>
</tr>
<tr>
<th>Number of observations</th>
<td>2349 </td>
</tr>
<tr>
<th>Total Missing (%)</th>
<td>33.7% </td>
</tr>
<tr>
<th>Total size in memory</th>
<td>752.5 KiB </td>
</tr>
<tr>
<th>Average record size in memory</th>
<td>328.0 B </td>
</tr>
</tbody>
</table>
</div>
<div class="col-md-6 namecol">
<p class="h4">Variables types</p>
<table class="stats" style="margin-left: 1em;">
<tbody>
<tr>
<th>Numeric</th>
<td>8 </td>
</tr>
<tr>
<th>Categorical</th>
<td>31 </td>
</tr>
<tr>
<th>Boolean</th>
<td>0 </td>
</tr>
<tr>
<th>Date</th>
<td>0 </td>
</tr>
<tr>
<th>Text (Unique)</th>
<td>0 </td>
</tr>
<tr>
<th>Rejected</th>
<td>2 </td>
</tr>
<tr>
<th>Unsupported</th>
<td>0 </td>
</tr>
</tbody>
</table>
</div>
<div class="col-md-12" style="padding-left: 1em;">
<p class="h4">Warnings</p>
<ul class="list-unstyled"><li><a href="#pp_var_actual_speed"><code>actual_speed</code></a> has 80 / 3.4% zeros <span class="label label-info">Zeros</span></li><li><a href="#pp_var_actual_speed"><code>actual_speed</code></a> has 1846 / 78.6% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_collision_date"><code>collision_date</code></a> has a high cardinality: 1640 distinct values <span class="label label-warning">Warning</span></li><li><a href="#pp_var_cyclist_action"><code>cyclist_action</code></a> has 1864 / 79.4% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_cyclist_collision_type"><code>cyclist_collision_type</code></a> has 1878 / 79.9% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_direction_1"><code>direction_1</code></a> has 1629 / 69.3% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_direction_2"><code>direction_2</code></a> has 2081 / 88.6% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_direction_3"><code>direction_3</code></a> has 2349 / 100.0% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_direction_3"><code>direction_3</code></a> has constant value <span class="label label-primary">Rejected</span></li><li><a href="#pp_var_driver_action"><code>driver_action</code></a> has 2300 / 97.9% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_event1"><code>event1</code></a> has 868 / 37.0% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_event2"><code>event2</code></a> has 2330 / 99.2% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_event3"><code>event3</code></a> has 2342 / 99.7% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_initial_dir"><code>initial_dir</code></a> has 177 / 7.5% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_involved_age"><code>involved_age</code></a> has 24 / 1.0% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_location_class"><code>location_class</code></a> has 760 / 32.4% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_manoeuver"><code>manoeuver</code></a> has 1742 / 74.2% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_pedestrian_action"><code>pedestrian_action</code></a> has 628 / 26.7% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_pedestrian_collision_type"><code>pedestrian_collision_type</code></a> has 629 / 26.8% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_posted_speed"><code>posted_speed</code></a> has 1699 / 72.3% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_px"><code>px</code></a> has 1174 / 50.0% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_safety_equip_used"><code>safety_equip_used</code></a> has 171 / 7.3% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_street_1"><code>street_1</code></a> has a high cardinality: 732 distinct values <span class="label label-warning">Warning</span></li><li><a href="#pp_var_street_2"><code>street_2</code></a> has 212 / 9.0% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_street_2"><code>street_2</code></a> has a high cardinality: 1115 distinct values <span class="label label-warning">Warning</span></li><li><a href="#pp_var_street_3"><code>street_3</code></a> has 2044 / 87.0% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_street_3"><code>street_3</code></a> has a high cardinality: 177 distinct values <span class="label label-warning">Warning</span></li><li><a href="#pp_var_street_type_1"><code>street_type_1</code></a> has 233 / 9.9% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_street_type_2"><code>street_type_2</code></a> has 427 / 18.2% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_street_type_3"><code>street_type_3</code></a> has 2349 / 100.0% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_street_type_3"><code>street_type_3</code></a> has constant value <span class="label label-primary">Rejected</span></li><li><a href="#pp_var_vehicle_class"><code>vehicle_class</code></a> has 710 / 30.2% missing values <span class="label label-default">Missing</span></li><li>Dataset has 3 duplicate rows <span class="label label-warning">Warning</span></li> </ul>
</div>
</div>
<div class="row headerrow highlight">
<h1>Variables</h1>
</div>
<div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4 pp-anchor" id="pp_var_actual_speed">actual_speed<br/>
<small>Numeric</small>
</p>
</div><div class="col-md-6">
<div class="row">
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Distinct count</th>
<td>33</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>1.4%</td>
</tr>
<tr class="alert">
<th>Missing (%)</th>
<td>78.6%</td>
</tr>
<tr class="alert">
<th>Missing (n)</th>
<td>1846</td>
</tr>
<tr class="ignore">
<th>Infinite (%)</th>
<td>0.0%</td>
</tr>
<tr class="ignore">
<th>Infinite (n)</th>
<td>0</td>
</tr>
</table>
</div>
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Mean</th>
<td>50.149</td>
</tr>
<tr>
<th>Minimum</th>
<td>0</td>
</tr>
<tr>
<th>Maximum</th>
<td>999</td>
</tr>
<tr class="alert">
<th>Zeros (%)</th>
<td>3.4%</td>
</tr>
</table>
</div>
</div>
</div>
<div class="col-md-3 collapse in" id="minihistogram7530874842519167696">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAAQ5JREFUeJzt1sEJwkAARUEjKSlF2JPn9GQR6Wm9isiDgCEiM/eFD8tjdxpjjAvw0fXsAfDL5rMHvFvuj91ntvV2wBLwgkASCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQJjPHvANy/2x%2B8y23g5Ywqt/uJdpjDHOHgG/yhcLgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEwhNwFxGRT7cKBwAAAABJRU5ErkJggg%3D%3D">
</div>
<div class="col-md-12 text-right">
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<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles7530874842519167696"
aria-controls="quantiles7530874842519167696" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram7530874842519167696" aria-controls="histogram7530874842519167696"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common7530874842519167696" aria-controls="common7530874842519167696"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme7530874842519167696" aria-controls="extreme7530874842519167696"
role="tab" data-toggle="tab">Extreme Values</a></li>
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<div role="tabpanel" class="tab-pane active row" id="quantiles7530874842519167696">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>0</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>0</td>
</tr>
<tr>
<th>Q1</th>
<td>5</td>
</tr>
<tr>
<th>Median</th>
<td>20</td>
</tr>
<tr>
<th>Q3</th>
<td>40</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>69.5</td>
</tr>
<tr>
<th>Maximum</th>
<td>999</td>
</tr>
<tr>
<th>Range</th>
<td>999</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>35</td>
</tr>
</table>
</div>
<div class="col-md-4 col-md-offset-2">
<p class="h4">Descriptive statistics</p>
<table class="stats indent">
<tr>
<th>Standard deviation</th>
<td>156.37</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>3.1181</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>32.519</td>
</tr>
<tr>
<th>Mean</th>
<td>50.149</td>
</tr>
<tr>
<th>MAD</th>
<td>53.136</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>5.7995</td>
</tr>
<tr>
<th>Sum</th>
<td>25225</td>
</tr>
<tr>
<th>Variance</th>
<td>24451</td>
</tr>
<tr>
<th>Memory size</th>
<td>18.4 KiB</td>
</tr>
</table>
</div>
</div>
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<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzt3Xt0VeWd//FPktNwiSQ5VAJLHFsqlyREEAIGkDZcbKhElAISohYtqFMaYEBQ0KKgUlFAp0IcijLLiBbBUAuKjaWUmyKdagFJwmUKgspFE0hOQmIAc/L8/vDHGY/hEuDZnAvv11osF8%2Bzs/Pdn5L0w97nhAhjjBEAAACsiQz0AAAAAOGGggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWAAAAJZRsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALHMFeoDLRWnpMevnjIyMUPPmMSorq1ZdnbF%2B/ssZ2TqLfJ1Dts4hW2c5lW%2BLFs2snet8cAcrhEVGRigiIkKRkRGBHiXskK2zyNc5ZOscsnVWuOUbtgWrb9%2B%2BSklJ0XXXXef79eSTT0qSNm3apGHDhqlr167KzMzUihUr/D42Ly9PAwYMUGpqqrKzs7V9%2B/ZAXAIAAAhRYfuIsLKyUosXL1bXrl391r/88kvl5ORo2rRpGjRokLZs2aJf/epX%2BtGPfqROnTppzZo1euGFF7Ro0SJ16NBBr732msaMGaPVq1crJiYmQFcDAABCSVjewfJ6vaqurlZcXFy9vVWrVqlNmzYaNmyYGjVqpJ49e6p///5avny5JCk/P19DhgxR586d1bhxY40ePVqRkZFav379Jb4KAAAQqsLyDlZlZaWMMZo/f762bNkiY4z69eunhx56SMXFxUpOTvY7PikpSQUFBZKk4uJiDRw40LcXERGhxMREFRYWKjMzs0Gfv6SkRKWlpX5rLldTJSQkXOSV%2BYuKivT7L%2BwhW2eRr3PI1jlk66xwyzcsC9bJkyfVsWNHde3aVbNmzdLBgwc1ceJEzZgxQx6PRy1btvQ7Pj4%2BXuXl5ZIkj8dT785XXFycb78hli1bptzcXL%2B1nJwcjR8//gKv6OxiY5s4cl6QrdPI1zlk6xyydVa45BuWBatly5Z68803fb9v27atJk%2BerDFjxig1NbXe8cYYRUSc%2BV0L59r/rqysLPXr189vzeVqqvLy6gafoyGioiIVG9tElZU18nrrrJ77cke2ziJf55Ctc8jWWU7l63YH5vXTYVmwTufqq6%2BW1%2BtVZGSkPB6P357H45Hb7ZYkud3uenerKioq1K5duwZ/roSEhHqPA0tLj6m21pkvSK%2B3zrFzX%2B7I1lnk6xyydQ7ZOitc8g2PB53fsWvXLs2ZM8dvbe/evYqOjlZ6erqKior89oqKitS5c2dJUkpKioqLi317Xq9XO3bs8O0DAACcS1gWLLfbrSVLlmjRokU6efKk9u3bp/nz52vEiBG67bbbdPDgQeXn5%2BvEiRPasGGDNmzYoOHDh0uSsrOztWLFCm3btk01NTVasGCBoqOj1adPn8BeFAAACBkRxpiw/Hn/H374oebMmaN//etfcrvd%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%2B/2mTZs0bNgwde3aVZmZmVqxYoXf8Xl5eRowYIBSU1OVnZ2t7du3X%2BqRAQBACAv7grVz506/AvXll18qJydHI0aM0ObNmzVt2jRNnz7dV6LWrFmjF154QbNnz9amTZvUv39/jRkzRtXV1YG6BAAAEGLCumDV1dVp%2BvTpuvvuu31rq1atUps2bTRs2DA1atRIPXv2VP/%2B/bV8%2BXJJUn5%2BvoYMGaLOnTurcePGGj16tCIjI7V%2B/foAXQUAAAg1rkAP4KSlS5cqOjpat912m%2BbNmydJKi4uVnJyst9xSUlJKigo8O0PHDjQtxcREaHExEQVFhYqMzOzQZ%2B3pKREpaWlfmsuV1MlJCRczOXUExUVWv3Y5QqdeU9lG2oZhwrydQ7ZOodsnRVu%2BYZtwTpy5Ijmz5%2BvxYsX%2B617PB61bNnSby0%2BPl7l5eW%2B/bi4OL/9uLg4335DLFu2TLm5uX5rOTk5Gj9%2B/PlcQthxu2MCPcJ5i41tEugRwhr5OodsnUO2zgqXfMO2YM2aNUtDhw5Vu3btdODAgbMea4xRRETEBe9/V1ZWlvr16%2Be35nI1VXm53ddxhVrLt339ToqKilRsbBNVVtbI660L9Dhhh3ydQ7bOIVtnOZVvoP5yH5YFa/Pmzdq6datmzpxZb8/tdsvj8fiteTweud1u3/5371ZVVFSoXbt2Df78CQkJ9R4HlpYeU23t5f0FGYrX7/XWheTcoYJ8nUO2ziFbZ4VLvqF1C6SB3nrrLR09elR9%2BvRRWlqahgwZIklKS0tT%2B/btVVRU5Hd8UVGROnfuLElKSUlRcXGxb8/r9WrHjh2%2BfQAAgHMJy4I1depU/eUvf9HKlSu1cuVKvfjii5KklStXatCgQTp48KDy8/N14sQJbdiwQRs2bNDw4cMlSdnZ2VqxYoW2bdummpoaLViwQNHR0erTp08ArwgAAISSsHxEGBcX5/dC9draWklSq1atJEkLFy7U7NmzNWvWLF199dWaM2eOEhMTJUk/%2BclP9MADD2jq1KkqLS1Vx44d9eKLL6px48aX/kIAAEBICsuC9V1XX321du/e7ft99%2B7dlZ%2Bff8bj77jjDt1xxx2XYjQAABCGwvIRIQAAQCBRsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWAAAAJZRsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWAAAAJZRsAAAACwLuoJ17NixQI8AAABwUYKuYPXu3VtTpkzRRx99dFHn2bVrl%2B6%2B%2B26lpqaqV69emjBhgkpLSyVJmzZt0rBhw9S1a1dlZmZqxYoVfh%2Bbl5enAQMGKDU1VdnZ2dq%2BfftFzQIAAC4vQVewHn/8cR09elT33HOPbr75Zr388ssqKys7r3OcPHlSo0aN0g033KDNmzfrrbfeUmlpqWbMmKEvv/xSOTk5GjFihDZv3qxp06Zp%2BvTpvhK1Zs0avfDCC5o9e7Y2bdqk/v37a8yYMaqurnbicgEAQBgKuoI1ePBgLVq0SBs3btSdd96p1atXq0%2BfPpo4caI2b97coHPU1NRo4sSJ%2Bvd//3dFR0fryiuv1IABA/Svf/1Lq1atUps2bTRs2DA1atRIPXv2VP/%2B/bV8%2BXJJUn5%2BvoYMGaLOnTurcePGGj16tCIjI7V%2B/XoHrxoAAISToCtYpzRv3lx33XWXXn/9dc2aNUvvv/%2B%2BRo0apYEDB2r16tVn/di4uDjdfvvtcrlckqRPP/1UK1as0MCBA1VcXKzk5GS/45OSklRUVCRJ9fYjIiKUmJiowsJCy1cIAADClSvQA5xJWVmZ3nzzTf3xj3/UZ599phtvvFFZWVkqKSnRY489poMHD%2BqXv/zlWc9x8OBBDRgwQLW1tRoxYoTGjx%2Bve%2B%2B9Vy1btvQ7Lj4%2BXuXl5ZIkj8ejuLg4v/24uDjffkOUlJT4Xu91isvVVAkJCQ0%2BR0NERQVtPz4tlyt05j2VbahlHCrI1zlk6xyydVa45Rt0Beu9995Tfn6%2B1q5dq/j4eA0dOlTDhw9X69atfcd07NhROTk55yxYrVu3VmFhoT799FM99thjevDBB097nDFGERERZzzPufa/a9myZcrNzfVby8nJ0fjx4xt8jnDkdscEeoTzFhvbJNAjhDXydQ7ZOodsnRUu%2BQZdwbr//vuVlpamuXPn6qabbvI95vu2Tp06qVmzZg06X0REhH74wx9q4sSJGjFihNLT0%2BXxePyO8Xg8crvdkiS3213vblVFRYXatWvX4GvIyspSv379/NZcrqYqL7f7QvlQa/m2r99JUVGRio1tosrKGnm9dYEeJ%2ByQr3PI1jlk6yyn8g3UX%2B6DrmC9%2B%2B67%2BsEPfqCTJ0/6ylVVVZWuuOIKv%2BP%2B/Oc/n/EcmzZt0hNPPKGCggJFRn5TQk79t1evXvrjH//od3xRUZE6d%2B4sSUpJSVFxcbF%2B/vOfS5K8Xq927NihYcOGNfgaEhIS6j0OLC09ptray/sLMhSv3%2ButC8m5QwX5OodsnUO2zgqXfIPuFkhkZKQGDhyotWvX%2BtbeeOMNDRw4UJ9//nmDzpGSkqLKykrNnTtXNTU1Kisr0/z589WtWzcNGjRIBw8eVH5%2Bvk6cOKENGzZow4YNGj58uCQpOztbK1as0LZt21RTU6MFCxYoOjpaffr0ceJyAQBAGAq6gvXb3/5WHTp0UGpqqm/t1ltvVadOnTRr1qwGnSMuLk4vv/yyCgsL1aNHD2VmZqpZs2Z67rnn9P3vf18LFy7UG2%2B8oZ49e%2BrZZ5/VnDlzlJiYKEn6yU9%2BogceeEBTp05V79699Y9//EMvvviiGjdu7Mj1AgCA8BNhjDGBHuLb0tLStH79ejVp4v8it6%2B%2B%2Bkp9%2B/bV//zP/wRosotTWmr/nwByuSL107nvWT%2BvUwom3BjoERrM5YqU2x2j8vLqsLhVHWzI1zlk6xyydZZT%2BbZo0bDXbNsWdHewjDE6efJkvfWqqip5vd4ATAQAAHB%2Bgq5g/fjHP9aUKVO0a9cuVVVVqbKyUlu2bNGkSZN4HRQAAAgJQfcuwkceeUQ5OTkaPHiw38%2Be6tatm6ZPnx7AyQAAABom6ArW97//fS1dulS7du3Sp59%2BqqioKP3whz9U27ZtAz0aAABAgwRdwTolMTHR984%2BAACAUBJ0BauwsFAzZ87U//7v/%2Br48eP19nfu3BmAqQAAABou6ArWo48%2BqqZNm2rcuHFq2rRpoMcBAAA4b0FXsPbv36/333%2B/3j%2BNAwAAECqC7sc0XHXVVYEeAQAA4KIEXcGaOHGinnrqKVVVVQV6FAAAgAsSdI8IFyxYoAMHDmjFihWKj49XZKR/B3z//fcDNBkAAEDDBF3B6tevX6BHAAAAuChBV7DGjh0b6BEAAAAuStC9BkuStmzZoilTpugXv/iFJKmurk5//vOfAzwVAABAwwRdwXrnnXf0i1/8QhUVFdq2bZsk6YsvvtD06dO1fPnyAE8HAABwbkFXsBYuXKi5c%2Bfq97//ve8fe77qqqs0b948vfLKKwGeDgAA4NyCrmB99tlnysjIkCRfwZKktLQ0HThwIFBjAQAANFjQFSy3262ysrJ66/v27VPjxo0DMBEAAMD5CbqC1aNHD/3mN7/R3r17JUkej0fvv/%2B%2BJkyYoD59%2BgR2OAAAgAYIuoI1ZcoU1dTUKDMzUydOnFDPnj117733qnXr1po6dWqgxwMAADinoPs5WPHx8Xr11Ve1a9cuffLJJ2rcuLHatGmjNm3aBHo0AACABgm6gnVKYmKiEhMTAz0GAADAeQu6gpWYmOj37sHv2rlz5yWcBgAA4PwFXcGaPn26X8Hyer3at2%2BfNm7cqDFjxgRwMgAAgIYJuoKVnZ192vV//OMfWrZsmX7%2B859f4okAAADOT9C9i/BMunfvrg0bNgR6DAAAgHMKmYK1du1auVxBd8MNAACgnqBrLL179663duLECVVVVZ3x8SEAAEAwCbqClZWVVe9dhI0aNdK1116rfv36BWgqAACAhgu6gjVu3LhAjwAAAHBRgq5g5ebmNui4iIgI5eTkODwNAADA%2BQu6gvWnP/1JR44c0YkTJ9SkSRO5XC4dO3ZMjRs31hVXXOF3LAULAAAEo6ArWJMmTdLf/vY3Pfjgg2rVqpUk6fPPP9ecOXN088036%2Babbw7whAAAAGcXdAXr%2Beef1xtvvKG4uDjf2r/9279pxowZysrKomABAICgF3Q/B%2Bvw4cOKioqqt/69731PR44cCcBEAAAA5yfoCla7du00ZcoUFRcXq7KyUlVVVdq1a5ceeeQRdejQIdDjAQAAnFPQPSJ88sknNWnSJA0dOtT387CMMbrqqqv0X//1XwGeDgAA4NyCrmAlJyeroKBARUVFOnz4sIwxatWqlVJSUhQZGXQ33AAAAOoJuoJ1SlxcnI4dO6aePXsGehQAAIDzEnS3hMrKyjR69Gj99Kc/1X333SdJKi0t1S233KIvvvgiwNMBAACcW9AVrKefflp1dXXKz8/3PRJs1qyZkpOT9fTTTwd4OgAAgHMLukeEGzdu1MqVK9WyZUvfi9wbN26shx9%2BWIMGDQrwdAAAAOcWdHewvv76ayUkJNRbb9y4saqqqgIwEQAAwPkJuoJ17bXXavXq1fXWly1bpjZt2gRgIgAAgPMTdI8IR40apQcffFAFBQXyer168sknVVxcrO3bt%2Bt3v/tdoMcDAAA4p6C7g/Wzn/1MCxcuVG1tra655hpt3bpVrVu31tKlS5WRkRHo8QAAAM4p6O5gFRYWqmfPnvz8KwAAELKC7g7WyJEj5fV6Az0GAADABQu6gpWZmam8vDwZYwI9CgAAwAUJukeER44c0dq1a/XSSy/pqquuUnR0tN/%2B0qVLAzQZAABAwwRdwXK73UpPTw/0GAAAABcsaArW%2BPHjNW/ePM2aNcu3Nm/ePI0fPz6AUwEAAJy/oHkN1oYNG%2Bqt/fd///cFn%2B/gwYPKyclRWlqaevTooYceekiVlZWSpOLiYt11111KTU1VRkaGFi1a5Pexq1at0qBBg9SlSxcNGTJEGzduvOA5AADA5SdoCtbpXMwL3X/9618rNjZWa9eu1dtvv61PPvlEzzzzjI4fP65f/epX6tGjh9577z397ne/06JFi/Tuu%2B9Kknbs2KGHH35YkydP1t///neNGjVK48aN0%2BHDh21dFgAACHNBXbBO/WPP56uyslLJycmaNGmSYmJi1KJFCw0ePFgfffSR1q9fr9raWo0ZM0ZNmzZVcnKybr/9duXn50uSli9frvT0dKWnp6tRo0a65ZZblJiYqLffftvmpQEAgDAW1AXrQsXGxmrWrFm68sorfWuHDh1SQkKCiouL1aFDB0VFRfn2kpKSVFRUJOmbx4fJycl%2B50tKSlJhYeGlGR4AAIS8oHmRu5MKCwv1hz/8QQsWLFBBQYFiY2P99uPj4%2BXxeFRXVyePx6O4uDi//bi4OO3Zs6fBn6%2BkpESlpaV%2Bay5XUyUkJFz4RZxGVFRo9WOXK3TmPZVtqGUcKsjXOWTrHLJ1VrjlGzQF6%2Buvv9akSZPOufbss8%2Be13n/%2Bc9/asyYMZo0aZJ69eqlgoKCescYY875OPJ8HlcuW7ZMubm5fms5OTmX/Tsi3e6YQI9w3mJjmwR6hLBGvs4hW%2BeQrbPCJd%2BgKVipqakqKSk559r5WLdunSZPnqxHH31UgwcPliQ1b95c%2B/fv9zuuoqJC8fHxioyMlNvtVnl5ud%2B%2Bx%2BOR2%2B1u8OfNyspSv379/NZcrqYqL6%2B%2BsAs5g1Br%2Bbav30lRUZGKjW2iysoaeb11gR4n7JCvc8jWOWTrLKfyDdRf7oOmYL366qtWz7dlyxY99NBDev7559W7d2/fekpKil5//XXV1tbK5frm8gsLC9W5c2ff/qnXY51SWFiozMzMBn/uhISEeo8DS0uPqbb28v6CDMXr93rrQnLuUEG%2BziFb55Cts8Il39C6BdJAtbW1mjZtmiZPnuxXriQpPT1dV1xxhRYsWKCamhp9/PHHWr58ubKzsyVJw4cP1wcffKD169frxIkTWr58ufbv369bb701EJcCAABCUNDcwbJp27Zt2rt3r2bOnKmZM2f67b377rv6/e9/ryeffFJ5eXlq0aKFJk6cqD59%2BkiS2rdvr7lz5%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%2B%2B9p169emnixIn19latWqVBgwapS5cuGjJkiDZu3Ojbq6ur07PPPqv%2B/fure/fuGj16tD799NNLOToAAAhxYVmwXnrpJc2cOVM/%2BMEP6u3t2LFDDz/8sCZPnqy///3vGjVqlMaNG6fDhw9Lkl599VW98847evHFF7V%2B/Xr96Ec/0tixY2WMudSXAQAAQlRYFqxGjRpp%2BfLlpy1Yy5cvV3p6utLT09WoUSPdcsstSkxM1Ntvvy1Jys/P1z333KNrr71WMTExmjBhgvbt26ePP/74Ul8GAAAIUa5AD%2BCEkSNHnnGvuLhY6enpfmtJSUkqLCzU8ePHtWfPHiUnJ/v2YmJidM0116iwsFDXX399gz5/SUmJSktL/dZcrqZKSEg4j6s4t6io0OrHLlfozHsq21DLOFSQr3PI1jlk66xwyzcsC9bZeDwexcXF%2Ba3FxcVpz549qqiokDHmtPvl5eUN/hzLli1Tbm6u31pOTo7Gjx9/4YOHAbc7JtAjnLfY2CaBHiGska9zyNY5ZOuscMn3sitYZxIREXHGPWPMWfe/KysrS/369fNbc7maqry8%2BoLnO51Qa/m2r99JUVGRio1tosrKGnm9dYEeJ%2ByQr3PI1jlk6yyn8g3UX%2B4vu4Lldrvr3Y3yeDxyu92Kj49XZGRkvf2Kigo1b968wZ8jISGh3uPA0tJjqq29vL8gQ/H6vd66kJw7VJCvc8jWOWTrrHDJN7RugViQkpKioqIiv7XCwkJ17txZjRo1Urt27VRcXOzbq6ys1GeffaZOnTpd6lEBAECIuuwK1vDhw/XBBx9o/fr1OnHihJYvX679%2B/fr1ltvlSRlZ2dr8eLF2rt3r6qqqjR37lwlJSXpuuuuC/DkAAAgVITlI8JTZai2tlaStGbNGknf3Klq37695s6dq%2Beee04HDhxQ27ZttXDhQrVo0UKSNGLECB05ckT33Xefqqur1aVLl3ovWAcAADibCMNP0LwkSkuPWT%2BnyxWpn859z/p5nVIw4cZAj9BgLlek3O4YlZdXh8VrAYIN%2BTqHbJ1Dts5yKt8WLZpZO9f5uOweEQIAADiNggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWAAAAJZRsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWAAAAJZRsAAAACyjYAEAAFjmCvQAAADAGTf/blOgR2iwv07%2BcaBHsIo7WAAAAJZRsAAAACyjYAEAAFhGwTqNzz//XPfdd5/S0tLUt29fPfPMM/J6vYEeCwAAhAgK1mmMHz9erVq10po1a5SXl6e1a9cqLy8v0GMBAIAQwbsIv6OwsFC7d%2B9WXl6emjVrpmbNmumXv/yl8vLyNHr06ECPF9JC6d0skvTRb38W6BEAACGKgvUdxcXFat26teLi4nxrycnJ2rdvn6qqqnTFFVec8xwlJSUqLS31W3O5miohIcHqrFGnQvwCAAALN0lEQVRR3IB0UrffvBvoEc5LKL3F%2BdSfXf4M20e2ziFbZ4VbvhSs7/B4PIqNjfVbO1W2ysvLG1Swli1bptzcXL%2B1sWPHaty4cfYG1TdF7u5W/1JWVpb18na5Kykp0bJly8jWISUlJXrllUXk6wCydU4oZhtKd%2BJDMd%2BzCY%2Ba6DBjjCQpIiKiQcdnZWXpzTff9PuVlZVlfa7S0lLl5ubWu1uGi0e2ziJf55Ctc8jWWeGWL3ewvqN58%2BYqLy/3W6uoqFBERITcbneDzpGQkBAW7RsAAFwY7mB9R0pKig4dOqSysjLfWmFhodq2bauYmJgATgYAAEIFBes7kpOT1alTJz377LOqqqrS3r179fLLLys7OzvQowEAgBARNWPGjBmBHiLY/PjHP1ZBQYGefvpprV69WoMHD9bo0aMb/BqsSykmJkY33HADd9ccQLbOIl/nkK1zyNZZ4ZRvhDn1Cm4AAABYwSNCAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWCHo888/13333ae0tDT17dtXzzzzjLxeb6DHChkHDx5UTk6O0tLS1KNHDz300EOqrKyUJBUXF%2Buuu%2B5SamqqMjIytGjRIr%2BPXbVqlQYNGqQuXbpoyJAh2rhxYyAuISQ89dRT6tChg%2B/3mzZt0rBhw9S1a1dlZmZqxYoVfsfn5eVpwIABSk1NVXZ2trZv336pRw4JCxYsUO/evXX99dfrnnvu0eeffy6JfC/Wzp07NXLkSHXr1k033nijJk%2BerLKyMklkeyHee%2B899erVSxMnTqy3d7bvo3V1dXr22WfVv39/de/eXaNHj9ann37q2y8vL9d//Md/qFevXurdu7cefvhh1dTUXJJrOm8GIWfw4MFm2rRpprKy0uzfv99kZGSYRYsWBXqskHHrrbeaqVOnmqqqKlNSUmKGDh1qHnnkEVNTU2N69%2B5t5s%2Bfb6qrq01xcbFJS0szBQUFxhhjiouLTUpKilm/fr05fvy4efvtt02nTp3MoUOHAnxFwWfHjh2me/fupn379sYYY7744gvTuXNnk5%2Bfb44fP24%2B%2BOAD06lTJ/Pxxx8bY4z561//arp162a2bdtmampqzEsvvWR69eplqqqqAnkZQee1114zGRkZZs%2BePaaystI88cQT5oknniDfi1RbW2tuvPFGM3v2bFNTU2OOHDli7r77bjNu3DiyvQAvvviiycjIMCNGjDATJkzw2zvX99G8vDzTt29fs2fPHlNVVWVmzpxpbrnlFlNXV2eMMebXv/61uf/%2B%2B83Ro0fNl19%2BabKzs83jjz9%2Bya%2BxIShYIWb79u0mKSnJeDwe39rrr79uBgwYEMCpQkdFRYWZOnWqKS0t9a29%2BuqrJiMjwxQUFJgePXqY2tpa397cuXPNqFGjjDHGPP744yYnJ8fvfMOHDzcLFy68NMOHCK/Xa26//XaTm5vrK1iLFi0ygwcP9jtu4sSJ5tFHHzXGGHP//febp556yrdXV1dnevfubVatWnXpBg8B/fr18xX%2BbyPfi3Po0CHTvn17s2fPHt/akiVLzE033US2F%2BCVV14xlZWVZsqUKfUK1rm%2Bj2ZmZppXXnnFt1dVVWU6duxotm7dakpLS01iYqLZuXOnb3/jxo3m%2BuuvNydPnnTwii4MjwhDTHFxsVq3bq24uDjfWnJysvbt26eqqqoAThYaYmNjNWvWLF155ZW%2BtUOHDikhIUHFxcXq0KGDoqKifHtJSUkqKiqS9E32ycnJfudLSkpSYWHhpRk%2BRCxdulTR0dG67bbbfGtnyu5M2UZERCgxMZFsv%2BXLL7/UgQMHVFVVpYEDByotLU3jx49XWVkZ%2BV6kli1bKikpSUuXLlV1dbWOHj2qv/zlL%2BrTpw/ZXoCRI0eqWbNmp9072/fR48ePa8%2BePX77MTExuuaaa1RYWKidO3cqKirK76UHycnJ%2Buqrr/TJJ584czEXgYIVYjwej2JjY/3WTpWt8vLyQIwU0goLC/WHP/xBY8aMOW228fHx8ng8qqurk8fj8Su20jfZk/v/OXLkiObPn6/p06f7rZ8p21PZke25ffHFF5KkgoICvfzyy1q5cqVKSkr02GOPke9FioyM1Lx587Ru3Tp17dpVvXr1Um1trSZNmkS2lp0tr4qKChljzrjv8Xh0xRVXKCIiwm9PCs7//6NghQFjjCT5/aHDuf3zn//U6NGjNWnSJPXq1eu0xxhjzpkruf%2BfWbNmaejQoWrXrt05jz1Xtg3J/nJy6uv83nvvVcuWLdWqVSuNHTtWf/vb3854PPk2zMmTJzVmzBgNGDBAH330kTZu3KjY2FhNnjz5tMeTrX0Xm2cw5k3BCjHNmzev19QrKioUEREht9sdoKlCz7p163T//ffrkUce0ciRIyWdOdv4%2BHhFRkbK7XbX2/d4POT%2B/23evFlbt25VTk5OvT232y2Px%2BO39u3sTpdtRUUF2X7Lqcfa376bctVVV6murk5ff/01%2BV6EzZs368CBA3rggQfUrFkztWzZUuPHj9df//pXRUZGkq1FZ/s%2Beup77enybN68uZo3b65jx475vWv%2B1P82zZs3d37480TBCjEpKSk6dOiQ7%2B3D0jePudq2bauYmJgAThY6tmzZooceekjPP/%2B8Bg8e7FtPSUnR7t27VVtb61srLCxU586dffunXndxuv3L3VtvvaWjR4%2BqT58%2BSktL05AhQyRJaWlpat%2B%2Bfb3sioqK/LItLi727Xm9Xu3YsYNsv6VVq1Zq3ry5du7c6Vs7ePCgvve97yk9PZ18L4LX61VdXZ3vLqEk3/eBXr16ka1FZ/s%2B2qhRI7Vr184vz8rKSn322Wfq1KmTkpKSZIzRrl27/D42NjZWbdq0uWTX0GABeWk9Lsrtt99uHnnkEXPs2DGzZ88e069fP/Paa68FeqyQ8PXXX5ubb77ZLF26tN7eiRMnTN%2B%2Bfc28efPMV199ZbZt22a6detm1q1bZ4wxZvfu3ea6664z69atM8ePHzf5%2BfmmS5cupqSk5BJfRXDyeDzm8OHDvl9bt2417du3N4cPHzYHDx40Xbp0MW%2B88YY5fvy4Wb9%2BvenUqZPv3UAbNmwwqampZuvWrearr74y8%2BfPN%2Bnp6aampibAVxVc/vM//9P079/f7N%2B/3xw5csRkZWWZqVOnmiNHjpDvRSgrKzM33HCDee6558xXX31lysrKTE5OjrnzzjvJ9iKc7l2E5/o%2BumTJEtOnTx%2BzZ88ec%2BzYMfPoo4%2BaoUOH%2Bj5%2BwoQJ5t577zVHjx41hw8fNkOHDjVPP/30Jb2uhoow5luVHSHhiy%2B%2B0IwZM7RlyxY1a9ZMgwcP1tixY4PyGXSw%2Beijj3TnnXcqOjq63t67776r6upqPfnkk9qxY4datGihkSNH6o477vAds3r1auXm5urAgQNq27atHnzwQXXv3v1SXkLIOHDggPr376/du3dLkj788EPNnj1be/fu1dVXX62xY8cqIyPDd/ySJUu0ePFilZaWqmPHjpo2bZrat28fqPGD0smTJzVr1iy98847%2BvrrrzVgwAA9%2BuijiomJId%2BLVFRUpGeeeUa7du1SdHS0brjhBk2dOlUtW7Yk2/N03XXXSfq/u4Aul0uSfO%2BsPNv3UWOMcnNz9ac//UnV1dXq0qWLZsyYoVatWkmSjh07phkzZmjz5s1yuVy66aabNHXq1NN%2BTw80ChYAAIBlvAYLAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWAAAAJZRsAAAACz7fybChd7fP7rfAAAAAElFTkSuQmCC"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common7530874842519167696">
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">0.0</td>
<td class="number">80</td>
<td class="number">3.4%</td>
<td>
<div class="bar" style="width:5%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">20.0</td>
<td class="number">54</td>
<td class="number">2.3%</td>
<td>
<div class="bar" style="width:3%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">10.0</td>
<td class="number">49</td>
<td class="number">2.1%</td>
<td>
<div class="bar" style="width:3%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">15.0</td>
<td class="number">47</td>
<td class="number">2.0%</td>
<td>
<div class="bar" style="width:3%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">5.0</td>
<td class="number">38</td>
<td class="number">1.6%</td>
<td>
<div class="bar" style="width:3%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">60.0</td>
<td class="number">38</td>
<td class="number">1.6%</td>
<td>
<div class="bar" style="width:3%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">40.0</td>
<td class="number">37</td>
<td class="number">1.6%</td>
<td>
<div class="bar" style="width:2%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">50.0</td>
<td class="number">32</td>
<td class="number">1.4%</td>
<td>
<div class="bar" style="width:2%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">30.0</td>
<td class="number">27</td>
<td class="number">1.1%</td>
<td>
<div class="bar" style="width:2%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">25.0</td>
<td class="number">17</td>
<td class="number">0.7%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (22)</td>
<td class="number">84</td>
<td class="number">3.6%</td>
<td>
<div class="bar" style="width:5%"> </div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">1846</td>
<td class="number">78.6%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme7530874842519167696">
<p class="h4">Minimum 5 values</p>
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">0.0</td>
<td class="number">80</td>
<td class="number">3.4%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1.0</td>
<td class="number">2</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:3%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">2.0</td>
<td class="number">4</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:5%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">3.0</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:2%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">4.0</td>
<td class="number">3</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:4%"> </div>
</td>
</tr>
</table>
<p class="h4">Maximum 5 values</p>
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">90.0</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:8%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">100.0</td>
<td class="number">2</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:16%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">115.0</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:8%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">200.0</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:8%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">999.0</td>
<td class="number">13</td>
<td class="number">0.6%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4 pp-anchor" id="pp_var_collision_date">collision_date<br/>
<small>Categorical</small>
</p>
</div><div class="col-md-3">
<table class="stats ">
<tr class="alert">
<th>Distinct count</th>
<td>1640</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>69.8%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.0%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>0</td>
</tr>
</table>
</div>
<div class="col-md-6 collapse in" id="minifreqtable-7888556684568091383">
<table class="mini freq">
<tr class="">
<th>2016-12-06</th>
<td>
<div class="bar" style="width:1%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 0.3%">
</div>
6
</td>
</tr><tr class="">
<th>2015-10-25</th>
<td>
<div class="bar" style="width:1%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 0.3%">
</div>
6
</td>
</tr><tr class="">
<th>2010-01-12</th>
<td>
<div class="bar" style="width:1%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 0.2%">
</div>
5
</td>
</tr><tr class="other">
<th>Other values (1637)</th>
<td>
<div class="bar" style="width:100%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 99.3%">
2332
</div>
</td>
</tr>
</table>
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#freqtable-7888556684568091383, #minifreqtable-7888556684568091383"
aria-expanded="true" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="col-md-12 extrapadding collapse" id="freqtable-7888556684568091383">
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">2016-12-06</td>
<td class="number">6</td>
<td class="number">0.3%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">2015-10-25</td>
<td class="number">6</td>
<td class="number">0.3%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">2010-01-12</td>
<td class="number">5</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">2013-08-13</td>
<td class="number">5</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">2008-06-14</td>
<td class="number">5</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">2013-07-24</td>
<td class="number">5</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">2011-07-18</td>
<td class="number">5</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">2013-06-27</td>
<td class="number">5</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">2014-08-30</td>
<td class="number">5</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">2012-12-02</td>
<td class="number">4</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (1630)</td>
<td class="number">2298</td>
<td class="number">97.8%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr>
</table>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4 pp-anchor" id="pp_var_collision_id">collision_id<br/>
<small>Numeric</small>
</p>
</div><div class="col-md-6">
<div class="row">
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Distinct count</th>
<td>2272</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>96.7%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.0%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>0</td>
</tr>
<tr class="ignore">
<th>Infinite (%)</th>
<td>0.0%</td>
</tr>
<tr class="ignore">
<th>Infinite (n)</th>
<td>0</td>
</tr>
</table>
</div>
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Mean</th>
<td>238410</td>
</tr>
<tr>
<th>Minimum</th>
<td>722</td>
</tr>
<tr>
<th>Maximum</th>
<td>486448</td>
</tr>
<tr class="ignore">
<th>Zeros (%)</th>
<td>0.0%</td>
</tr>
</table>
</div>
</div>
</div>
<div class="col-md-3 collapse in" id="minihistogram8183433160434993118">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAASpJREFUeJzt3NFphEAUQNEYtqQUkZ7yvT1tEenJNBAuuuDuQ8/5FwbkOr4BXdZ1XT%2BAf32%2BewEw2e3dCzizr5/H7mt%2B798HrIRn2UEgCASCQCCYQYYxt8xiB4EgEAgCgSAQCIb0HZ4ZoM/iqocHpwjkqjeP440L5FVP6SvvBmxnBoEgEAgCgSAQCOOGdI7ngGK7Zdont27etU07fveKBUEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJh3N/dYRI7CASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCIQ//2QhMJnMsQkAAAAASUVORK5CYII%3D">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives8183433160434993118,#minihistogram8183433160434993118"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives8183433160434993118">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles8183433160434993118"
aria-controls="quantiles8183433160434993118" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram8183433160434993118" aria-controls="histogram8183433160434993118"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common8183433160434993118" aria-controls="common8183433160434993118"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme8183433160434993118" aria-controls="extreme8183433160434993118"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles8183433160434993118">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>722</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>26391</td>
</tr>
<tr>
<th>Q1</th>
<td>122920</td>
</tr>
<tr>
<th>Median</th>
<td>233050</td>
</tr>
<tr>
<th>Q3</th>
<td>359160</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>456490</td>
</tr>
<tr>
<th>Maximum</th>
<td>486448</td>
</tr>
<tr>
<th>Range</th>
<td>485726</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>236240</td>
</tr>
</table>
</div>
<div class="col-md-4 col-md-offset-2">
<p class="h4">Descriptive statistics</p>
<table class="stats indent">
<tr>
<th>Standard deviation</th>
<td>136280</td>