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movies_preprocessing_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()
})
$("a[href^='#'].anchor").on('click', function(e) {
// prevent default anchor click behavior
e.preventDefault();
// store hash
var hash = this.hash;
// animate
$('html, body').animate({
scrollTop: $(hash).offset().top
}, 300, function(){
// when done, add hash to url
// (default click behaviour)
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;
}
.headerrow {
border: 1px solid #e1e1e8;
background-color: #f5f5f5;
padding: 2em;
}
.namecol {
margin-top: -1em;
overflow-x: auto;
}
.dl-horizontal dt {
text-align: left;
padding-right: 1em;
white-space: normal;
}
.dl-horizontal dd {
margin-left: 0;
}
.ignore {
opacity: 0.4;
}
.container.pandas-profiling {
max-width:975px;
}
.col-md-12 {
padding-left: 2em;
}
.indent {
margin-left: 1em;
}
.center-img {
margin-left: auto !important;
margin-right: auto !important;
display: block;
}
/* Table example_values */
table.example_values {
border: 0;
}
.example_values th {
border: 0;
padding: 0 ;
color: #555;
font-weight: 600;
}
.example_values tr, .example_values td{
border: 0;
padding: 0;
color: #555;
}
/* STATS */
table.stats {
border: 0;
}
.stats th {
border: 0;
padding: 0 2em 0 0;
color: #555;
font-weight: 600;
}
.stats tr {
border: 0;
}
.stats td{
color: #555;
padding: 1px;
border: 0;
}
/* Sample table */
table.sample {
border: 0;
margin-bottom: 2em;
margin-left:1em;
}
.sample tr {
border:0;
}
.sample td, .sample th{
padding: 0.5em;
white-space: nowrap;
border: none;
}
.sample thead {
border-top: 0;
border-bottom: 2px solid #ddd;
}
.sample td {
width:100%;
}
/* There is no good solution available to make the divs equal height and then center ... */
.histogram {
margin-top: 3em;
}
/* Freq table */
table.freq {
margin-bottom: 2em;
border: 0;
}
table.freq th, table.freq tr, table.freq td {
border: 0;
padding: 0;
}
.freq thead {
font-weight: 600;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
}
td.fillremaining{
width:auto;
max-width: none;
}
td.number, th.number {
text-align:right ;
}
/* Freq mini */
.freq.mini td{
width: 50%;
padding: 1px;
font-size: 12px;
}
table.freq.mini {
width:100%;
}
.freq.mini th {
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
max-width: 5em;
font-weight: 400;
text-align:right;
padding-right: 0.5em;
}
.missing {
color: #a94442;
}
.alert, .alert > th, .alert > td {
color: #a94442;
}
/* Bars in tables */
.freq .bar{
float: left;
width: 0;
height: 100%;
line-height: 20px;
color: #fff;
text-align: center;
background-color: #337ab7;
border-radius: 3px;
margin-right: 4px;
}
.other .bar {
background-color: #999;
}
.missing .bar{
background-color: #a94442;
}
.tooltip-inner {
width: 100%;
white-space: nowrap;
text-align:left;
}
.extrapadding{
padding: 2em;
}
.pp-anchor{
}
</style>
<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>28 </td>
</tr>
<tr>
<th>Number of observations</th>
<td>5043 </td>
</tr>
<tr>
<th>Total Missing (%)</th>
<td>1.9% </td>
</tr>
<tr>
<th>Total size in memory</th>
<td>1.1 MiB </td>
</tr>
<tr>
<th>Average record size in memory</th>
<td>224.0 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>15 </td>
</tr>
<tr>
<th>Categorical</th>
<td>12 </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>1 </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_director_name"><code>director_name</code></a> has 104 / 2.1% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_director_name"><code>director_name</code></a> has a high cardinality: 2399 distinct values <span class="label label-warning">Warning</span></li><li><a href="#pp_var_director_facebook_likes"><code>director_facebook_likes</code></a> has 104 / 2.1% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_director_facebook_likes"><code>director_facebook_likes</code></a> has 907 / 18.0% zeros <span class="label label-info">Zeros</span></li><li><a href="#pp_var_actor_3_facebook_likes"><code>actor_3_facebook_likes</code></a> has 89 / 1.8% zeros <span class="label label-info">Zeros</span></li><li><a href="#pp_var_actor_2_name"><code>actor_2_name</code></a> has a high cardinality: 3033 distinct values <span class="label label-warning">Warning</span></li><li><a href="#pp_var_gross"><code>gross</code></a> has 884 / 17.5% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_genres"><code>genres</code></a> has a high cardinality: 914 distinct values <span class="label label-warning">Warning</span></li><li><a href="#pp_var_actor_1_name"><code>actor_1_name</code></a> has a high cardinality: 2098 distinct values <span class="label label-warning">Warning</span></li><li><a href="#pp_var_movie_title"><code>movie_title</code></a> has a high cardinality: 4917 distinct values <span class="label label-warning">Warning</span></li><li><a href="#pp_var_cast_total_facebook_likes"><code>cast_total_facebook_likes</code></a> is highly correlated with <a href="#pp_var_actor_1_facebook_likes"><code>actor_1_facebook_likes</code></a> (ρ = 0.95166) <span class="label label-primary">Rejected</span></li><li><a href="#pp_var_actor_3_name"><code>actor_3_name</code></a> has a high cardinality: 3522 distinct values <span class="label label-warning">Warning</span></li><li><a href="#pp_var_facenumber_in_poster"><code>facenumber_in_poster</code></a> has 2152 / 42.7% zeros <span class="label label-info">Zeros</span></li><li><a href="#pp_var_plot_keywords"><code>plot_keywords</code></a> has 153 / 3.0% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_plot_keywords"><code>plot_keywords</code></a> has a high cardinality: 4761 distinct values <span class="label label-warning">Warning</span></li><li><a href="#pp_var_movie_imdb_link"><code>movie_imdb_link</code></a> has a high cardinality: 4919 distinct values <span class="label label-warning">Warning</span></li><li><a href="#pp_var_country"><code>country</code></a> has a high cardinality: 66 distinct values <span class="label label-warning">Warning</span></li><li><a href="#pp_var_content_rating"><code>content_rating</code></a> has 303 / 6.0% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_budget"><code>budget</code></a> is highly skewed (γ1 = 48.157) <span class="label label-info">Skewed</span></li><li><a href="#pp_var_budget"><code>budget</code></a> has 492 / 9.8% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_title_year"><code>title_year</code></a> has 108 / 2.1% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_actor_2_facebook_likes"><code>actor_2_facebook_likes</code></a> has 55 / 1.1% zeros <span class="label label-info">Zeros</span></li><li><a href="#pp_var_aspect_ratio"><code>aspect_ratio</code></a> has 329 / 6.5% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_movie_facebook_likes"><code>movie_facebook_likes</code></a> has 2181 / 43.2% zeros <span class="label label-info">Zeros</span></li><li>Dataset has 45 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_color">color<br/>
<small>Categorical</small>
</p>
</div><div class="col-md-3">
<table class="stats ">
<tr class="">
<th>Distinct count</th>
<td>3</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>0.1%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.4%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>19</td>
</tr>
</table>
</div>
<div class="col-md-6 collapse in" id="minifreqtable-1323656850181069834">
<table class="mini freq">
<tr class="">
<th>Color</th>
<td>
<div class="bar" style="width:100%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 95.5%">
4815
</div>
</td>
</tr><tr class="">
<th> Black and White</th>
<td>
<div class="bar" style="width:5%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 4.1%">
</div>
209
</td>
</tr><tr class="missing">
<th>(Missing)</th>
<td>
<div class="bar" style="width:1%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 0.4%">
</div>
19
</td>
</tr>
</table>
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#freqtable-1323656850181069834, #minifreqtable-1323656850181069834"
aria-expanded="true" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="col-md-12 extrapadding collapse" id="freqtable-1323656850181069834">
<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">Color</td>
<td class="number">4815</td>
<td class="number">95.5%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining"> Black and White</td>
<td class="number">209</td>
<td class="number">4.1%</td>
<td>
<div class="bar" style="width:5%"> </div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">19</td>
<td class="number">0.4%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr>
</table>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4 pp-anchor" id="pp_var_director_name">director_name<br/>
<small>Categorical</small>
</p>
</div><div class="col-md-3">
<table class="stats ">
<tr class="alert">
<th>Distinct count</th>
<td>2399</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>47.6%</td>
</tr>
<tr class="alert">
<th>Missing (%)</th>
<td>2.1%</td>
</tr>
<tr class="alert">
<th>Missing (n)</th>
<td>104</td>
</tr>
</table>
</div>
<div class="col-md-6 collapse in" id="minifreqtable-6908075957109371555">
<table class="mini freq">
<tr class="">
<th>Steven Spielberg</th>
<td>
<div class="bar" style="width:1%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 0.5%">
</div>
26
</td>
</tr><tr class="">
<th>Woody Allen</th>
<td>
<div class="bar" style="width:1%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 0.4%">
</div>
22
</td>
</tr><tr class="">
<th>Martin Scorsese</th>
<td>
<div class="bar" style="width:1%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 0.4%">
</div>
20
</td>
</tr><tr class="other">
<th>Other values (2395)</th>
<td>
<div class="bar" style="width:100%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 96.6%">
4871
</div>
</td>
</tr><tr class="missing">
<th>(Missing)</th>
<td>
<div class="bar" style="width:3%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 2.1%">
</div>
104
</td>
</tr>
</table>
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#freqtable-6908075957109371555, #minifreqtable-6908075957109371555"
aria-expanded="true" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="col-md-12 extrapadding collapse" id="freqtable-6908075957109371555">
<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">Steven Spielberg</td>
<td class="number">26</td>
<td class="number">0.5%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Woody Allen</td>
<td class="number">22</td>
<td class="number">0.4%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Martin Scorsese</td>
<td class="number">20</td>
<td class="number">0.4%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Clint Eastwood</td>
<td class="number">20</td>
<td class="number">0.4%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Ridley Scott</td>
<td class="number">17</td>
<td class="number">0.3%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Spike Lee</td>
<td class="number">16</td>
<td class="number">0.3%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Tim Burton</td>
<td class="number">16</td>
<td class="number">0.3%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Steven Soderbergh</td>
<td class="number">16</td>
<td class="number">0.3%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Renny Harlin</td>
<td class="number">15</td>
<td class="number">0.3%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Oliver Stone</td>
<td class="number">14</td>
<td class="number">0.3%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (2388)</td>
<td class="number">4757</td>
<td class="number">94.3%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">104</td>
<td class="number">2.1%</td>
<td>
<div class="bar" style="width:3%"> </div>
</td>
</tr>
</table>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4 pp-anchor" id="pp_var_num_critic_for_reviews">num_critic_for_reviews<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>529</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>10.5%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>1.0%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>50</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>140.19</td>
</tr>
<tr>
<th>Minimum</th>
<td>1</td>
</tr>
<tr>
<th>Maximum</th>
<td>813</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="minihistogram-1143383242605290684">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAB1ElEQVR4nO3aMY7TQBiG4d8rWjt9FB8CiSsgcSA6JDpKjkJPS88tEuUAsSgoiCkgNIs%2B2FV2HMPztJFmJpJf/bI83TzPczV2OBxqHMfW27Jy%2B/2%2Bdrtd0z2fNd3tp77vq%2BrHHx6GYYkjsCKn06nGcfz13LS0SCBd11VV1TAM9wJ58ebjg9f7/O7VVc7Fbbs8Ny3dNd8RVkQgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIFrnNe21uAPNUTBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgeCfuM37GG4A8zdMEAgEAoFAIBAIBAKBQCAQCAQCgUDw334ofIyHflz0YXH9TBAIBAKBQCAQCARe0p%2BQG8PrZ4JAYILcGFPntpggECwyQeZ5rqqq0%2Bl077dvX7%2B0Ps7qPX/9Yekj/Nanty%2Bvss7lObk8Ny0tEsg0TVVVNY7jEtvTyOb9ddebpqk2m811F/2Dbl4gy/P5XMfjsfq%2Br67rWm/PyszzXNM01Xa7rbu7tm8FiwQCa%2BElHQKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoHgOxKhT3st90ccAAAAAElFTkSuQmCC">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives-1143383242605290684,#minihistogram-1143383242605290684"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives-1143383242605290684">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles-1143383242605290684"
aria-controls="quantiles-1143383242605290684" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram-1143383242605290684" aria-controls="histogram-1143383242605290684"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common-1143383242605290684" aria-controls="common-1143383242605290684"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme-1143383242605290684" aria-controls="extreme-1143383242605290684"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles-1143383242605290684">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>1</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>9</td>
</tr>
<tr>
<th>Q1</th>
<td>50</td>
</tr>
<tr>
<th>Median</th>
<td>110</td>
</tr>
<tr>
<th>Q3</th>
<td>195</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>387</td>
</tr>
<tr>
<th>Maximum</th>
<td>813</td>
</tr>
<tr>
<th>Range</th>
<td>812</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>145</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>121.6</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.86738</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>2.9134</td>
</tr>
<tr>
<th>Mean</th>
<td>140.19</td>
</tr>
<tr>
<th>MAD</th>
<td>92.352</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>1.5165</td>
</tr>
<tr>
<th>Sum</th>
<td>699990</td>
</tr>
<tr>
<th>Variance</th>
<td>14787</td>
</tr>
<tr>
<th>Memory size</th>
<td>39.5 KiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram-1143383242605290684">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nO3df3QU1f3/8dcKZAkxWQMh2UR%2BGP0gCgGUxELACvgjIfLjWGwVwRiqRvnwW6BK4NOKthCroLZSqaWIVrDQHoVisTEBMcBJwo9AlACNqJEETQhg2ACFTQj3%2Bwdfpq4JYuuQZcPzcc6ck7lzZ%2Ba%2Bz2bJizuzsw5jjBEAAABsc5m/BwAAANDcELAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABs1tLfA7gUnD59Wl9%2B%2BaVCQ0PlcDj8PRwAAC4JxhgdPXpUMTExuuyypp1TImA1gS%2B//FIdO3b09zAAALgklZeXq0OHDk16TgJWEwgNDZV05gUOCwvz82gAALg01NTUqGPHjtbf4aZEwGoCZy8LhoWFEbAAAGhi/rg9h5vcAQAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGwWsAErMzNTN910k0JDQxUZGam77rpLJSUlPn28Xq8mTpyoiIgIhYSEaPjw4dq/f79Pn7KyMg0bNkwhISGKiIjQpEmTVFtb69MnNzdX8fHxat26ta6%2B%2Bmr9/ve/v%2BD1AQCAwBWwASs3N1fjx49XQUGBcnJydOrUKSUlJen48eNWnylTpmjlypVavny5Nm3apGPHjmno0KGqr6%2BXJNXX12vIkCE6fvy4Nm3apOXLl%2Butt97StGnTrGOUlpbqzjvv1A9/%2BEPt2LFDM2fO1KRJk/TWW281ec0AACAwOIwxxt%2BDsMPBgwcVGRmp3Nxc3XLLLfJ4PGrfvr3eeOMN3XvvvZL%2B/UT1d999V8nJyfrHP/6hoUOHqry8XDExMZKk5cuXa8yYMaqqqlJYWJieeOIJrV69Wnv27LHONXbsWH344YfKz8//TmOrqamRy%2BWSx%2BPhOVgAADQRf/79DdgZrG/yeDySpLZt20qSCgsLVVdXp6SkJKtPTEyM4uLilJeXJ0nKz89XXFycFa4kKTk5WV6vV4WFhVafrx/jbJ9t27aprq7ugtYEAAACU7N4krsxRlOnTtXNN9%2BsuLg4SVJlZaWCgoIUHh7u0zcqKkqVlZVWn6ioKJ/t4eHhCgoK%2BtY%2BUVFROnXqlA4dOqTo6OgG4/F6vfJ6vdZ6TU3N9y8SAAAEjGYxgzVhwgR99NFH%2BvOf/3zevsYYn0fmN/b4/PP1OXtV9VyP3s/MzJTL5bIWvugZAIBLS8AHrIkTJ2r16tVav369zzdlu91u1dbWqrq62qd/VVWVNSPldrutmaqzqqurVVdX9619qqqq1LJlS7Vr167RMWVkZMjj8VhLeXn5964TAAAEjoC9RGiM0cSJE7Vy5Up98MEHio2N9dkeHx%2BvVq1aKScnR/fcc48kqaKiQsXFxXr22WclSYmJiZozZ44qKiqsS33Z2dlyOp2Kj4%2B3%2Brzzzjs%2Bx87OzlZCQoJatWrV6NicTqecTqet9Z5LwqysJjmPHbbNGezvIQAA0CQCdgZr/PjxWrp0qd58802FhoaqsrJSlZWVOnHihCTJ5XLpoYce0rRp07Ru3Trt2LFD999/v3r06KHbb79dkpSUlKRu3bopNTVVO3bs0Lp16zR9%2BnSlp6dbnzYYO3as9u3bp6lTp2rPnj169dVXtXjxYk2fPt1vtQMAgItbwAashQsXyuPxaODAgYqOjraWFStWWH1eeOEF3XXXXbrnnnvUv39/tWnTRu%2B8845atGghSWrRooXWrFmj1q1bq3///rrnnnt01113ad68edYxYmNj9e677%2BqDDz7QDTfcoF/%2B8pf67W9/q7vvvrvJawYAAIGh2TwH62J2IZ/DwSVCAAAax3OwAAAAmhECFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANgsoAPWhg0bNGzYMMXExMjhcGjVqlU%2B2x0OR6PLc889Z/W56qqrGmyfMWOGz3HKyso0bNgwhYSEKCIiQpMmTVJtbW2T1AgAAAJPS38P4Ps4fvy4evXqpZ/%2B9Ke6%2B%2B67G2yvqKjwWf/HP/6hhx56qEHfp59%2BWunp6db65Zdfbv1cX1%2BvIUOGqH379tq0aZMOHz6stLQ0GWP00ksv2VwRAABoDgI6YKWkpCglJeWc291ut8/63/72Nw0aNEhXX321T3toaGiDvmdlZ2dr9%2B7dKi8vV0xMjCRp/vz5GjNmjObMmaOwsLDvWQUAAGhuAvoS4X/iwIEDWrNmjR566KEG237961%2BrXbt2uuGGGzRnzhyfy3/5%2BfmKi4uzwpUkJScny%2Bv1qrCwsNFzeb1e1dTU%2BCwAAODSEdAzWP%2BJ119/XaGhoRoxYoRP%2B%2BTJk9W7d2%2BFh4dry5YtysjIUGlpqf74xz9KkiorKxUVFeWzT3h4uIKCglRZWdnouTIzM/XUU09dmEIAAMBF75IJWK%2B%2B%2BqpGjx6t1q1b%2B7Q/9thj1s89e/ZUeHi4fvzjH1uzWtKZm%2BW/yRjTaLskZWRkaOrUqdZ6TU2NOnbsaEcZAAAgAFwSAWvjxo0qKSnRihUrztu3b9%2B%2BkqRPPvlE7dq1k9vt1ubNm336VFdXq66ursHM1llOp1NOp/P7DxwAAASkS%2BIerMWLFys%2BPl69evU6b98dO3ZIkqKjoyVJiYmJKi4u9vlEYnZ2tpxOp%2BLj4y/MgAEAQEAL6BmsY8eO6ZNPPrHWS0tLVVRUpLZt26pTp06Szlye%2B%2Btf/6r58%2Bc32D8/P18FBQUaNGiQXC6Xtm7dqscee0zDhw%2B39k9KSlK3bt2Umpqq5557Tl999ZWmT5%2Bu9PR0PkEIAAAaFdABa9u2bRo0aJC1fva%2Bp7S0NL322muSpOXLl8sYo/vuu6/B/k6nUytWrNBTTz0lr9erzp07Kz09XY8//rjVp0WLFlqzZo3GjRun/v37Kzg4WKNGjdK8efMubHEAACBgOYwxxt%2BDaO5qamrkcrnk8Xhsn/VKmJVl6/EupG1zBvt7CACAS8iF/Pt7PpfEPVgAAABNiYAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQI6YG3YsEHDhg1TTEyMHA6HVq1a5bN9zJgxcjgcPkvfvn19%2Bni9Xk2cOFEREREKCQnR8OHDtX//fp8%2BZWVlGjZsmEJCQhQREaFJkyaptrb2gtcHAAACU0AHrOPHj6tXr15asGDBOfsMHjxYFRUV1vLuu%2B/6bJ8yZYpWrlyp5cuXa9OmTTp27JiGDh2q%2Bvp6SVJ9fb2GDBmi48ePa9OmTVq%2BfLneeustTZs27YLWBgAAAldLfw/g%2B0hJSVFKSsq39nE6nXK73Y1u83g8Wrx4sd544w3dfvvtkqSlS5eqY8eOWrt2rZKTk5Wdna3du3ervLxcMTExkqT58%2BdrzJgxmjNnjsLCwuwtCgAABLyAnsH6Lj744ANFRkbq2muvVXp6uqqqqqxthYWFqqurU1JSktUWExOjuLg45eXlSZLy8/MVFxdnhStJSk5OltfrVWFhYaPn9Hq9qqmp8VkAAMClo1kHrJSUFC1btkzvv/%2B%2B5s%2Bfr61bt%2BrWW2%2BV1%2BuVJFVWViooKEjh4eE%2B%2B0VFRamystLqExUV5bM9PDxcQUFBVp9vyszMlMvlspaOHTtegOoAAMDFKqAvEZ7Pvffea/0cFxenhIQEde7cWWvWrNGIESPOuZ8xRg6Hw1r/%2Bs/n6vN1GRkZmjp1qrVeU1NDyAIA4BLSrGewvik6OlqdO3fW3r17JUlut1u1tbWqrq726VdVVWXNWrnd7gYzVdXV1aqrq2sws3WW0%2BlUWFiYzwIAAC4dl1TAOnz4sMrLyxUdHS1Jio%2BPV6tWrZSTk2P1qaioUHFxsfr16ydJSkxMVHFxsSoqKqw%2B2dnZcjqdio%2BPb9oCAABAQAjoS4THjh3TJ598Yq2XlpaqqKhIbdu2Vdu2bTV79mzdfffdio6O1ueff66ZM2cqIiJCP/rRjyRJLpdLDz30kKZNm6Z27dqpbdu2mj59unr06GF9qjApKUndunVTamqqnnvuOX311VeaPn260tPTmZkCAACNCuiAtW3bNg0aNMhaP3vfU1pamhYuXKidO3fqT3/6k44cOaLo6GgNGjRIK1asUGhoqLXPCy%2B8oJYtW%2Bqee%2B7RiRMndNttt%2Bm1115TixYtJEktWrTQmjVrNG7cOPXv31/BwcEaNWqU5s2b17TFAgCAgOEwxhh/D6K5q6mpkcvlksfjsX3WK2FWlq3Hu5C2zRns7yEAAC4hF/Lv7/lcUvdgAQAANAUCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQL6uwgRWALpa30kvtoHAPDfYwYLAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsFlAB6wNGzZo2LBhiomJkcPh0KpVq6xtdXV1euKJJ9SjRw%2BFhIQoJiZGDzzwgL788kufY1x11VVyOBw%2By4wZM3z6lJWVadiwYQoJCVFERIQmTZqk2traJqkRAAAEnpb%2BHsD3cfz4cfXq1Us//elPdffdd/ts%2B9e//qXt27fr5z//uXr16qXq6mpNmTJFw4cP17Zt23z6Pv3000pPT7fWL7/8cuvn%2Bvp6DRkyRO3bt9emTZt0%2BPBhpaWlyRijl1566cIWCAAAAlJAB6yUlBSlpKQ0us3lciknJ8en7aWXXtIPfvADlZWVqVOnTlZ7aGio3G53o8fJzs7W7t27VV5erpiYGEnS/PnzNWbMGM2ZM0dhYWE2VQMAAJoLv1wiXLp0qU6ePNnk5/V4PHI4HLriiit82n/961%2BrXbt2uuGGGzRnzhyfy3/5%2BfmKi4uzwpUkJScny%2Bv1qrCwsMnGDgAAAodfAtbUqVPldrv16KOPasuWLU1yzpMnT2rGjBkaNWqUz6zT5MmTtXz5cq1fv14TJkzQiy%2B%2BqHHjxlnbKysrFRUV5XOs8PBwBQUFqbKystFzeb1e1dTU%2BCwAAODS4ZeA9eWXX%2BrVV19VRUWFbr75ZnXv3l3z58/XwYMHL8j56urqNHLkSJ0%2BfVovv/yyz7bHHntMAwYMUM%2BePfXwww/r97//vRYvXqzDhw9bfRwOR4NjGmMabZekzMxMuVwua%2BnYsaO9BQEAgIuaXwJWy5YtNWLECK1evVplZWVKS0vTq6%2B%2Bqg4dOmjEiBFas2aNjDG2nKuurk733HOPSktLlZOTc957pvr27StJ%2BuSTTyRJbre7wUxVdXW16urqGsxsnZWRkSGPx2Mt5eXlNlQCAAAChd8f0%2BB2u3Xbbbdp4MCBcjgc2rZtm0aNGqUuXbpo48aN3%2BvYZ8PV3r17tXbtWrVr1%2B68%2B%2BzYsUOSFB0dLUlKTExUcXGxKioqrD7Z2dlyOp2Kj49v9BhOp1NhYWE%2BCwAAuHT4LWAdOnRIL774onr16qX%2B/furqqpKq1at0r59%2B/TFF19o6NCheuCBB771GMeOHVNRUZGKiookSaWlpSoqKlJZWZlOnTqlH//4x9q2bZuWLVum%2Bvp6VVZWqrKy0rqJPT8/Xy%2B88IKKiopUWlqqv/zlL3r00Uc1fPhw61OGSUlJ6tatm1JTU7Vjxw6tW7dO06dPV3p6OsEJAAA0ymHsuhb3H/jRj36kd999V7GxsXr44YeVlpam9u3b%2B/T58ssv1aFDB50%2Bffqcx/nggw80aNCgBu1paWmaPXu2YmNjG91v/fr1GjhwoLZv365x48bpn//8p7xerzp37qyRI0fq8ccfV5s2baz%2BZWVlGjdunN5//30FBwdr1KhRmjdvnpxO53eqt6amRi6XSx6Px/ZQljAry9bj4d%2B2zRns7yEAAL6HC/n393z88hyssLAwrV27Vj/84Q/P2Sc6Olp79%2B791uMMHDjwW%2B/VOl927N27twoKCr59sJI6deqkv//97%2BftBwAAIPkpYL3%2B%2Buvn7eNwOHTNNdc0wWgAAADs5Zd7sB577DEtWLCgQfvvfvc7TZs2zQ8jAgAAsI9fAtZf//pX63EIX5eYmKgVK1b4YUQAAAD28UvAOnTokMLDwxu0h4WF6dChQ34YEQAAgH38ErCuueYavffeew3a33vvvXN%2B8g8AACBQ%2BOUm9ylTpmjKlCk6fPiwbr31VknSunXr9Oyzz2revHn%2BGBIAAIBt/BKw0tPTdfLkSc2dO1dPPvmkJKlDhw767W9/qwcffNAfQwIAALCNXwKWJE2cOFETJ05URUWFgoODdcUVV/hrKAAAALbyW8A66%2Bx3/gEAADQXfrnJ/eDBg/rpT3%2BqTp06qXXr1goKCvJZAAAAAplfZrDGjBmjTz/9VD/72c8UHR0th8Phj2EAAABcEH4JWBs2bNCGDRt04403%2BuP0AAAAF5RfLhF26NCBWSsAANBs%2BSVgvfDCC8rIyND%2B/fv9cXoAAIALyi%2BXCFNTU3X06FF17txZYWFhatWqlc/2qqoqfwwLAADAFn4JWM8884w/TgsAANAk/BKwHnroIX%2BcFgAAoEn45R4sSfr88881e/ZspaamWpcEs7OztWfPHn8NCQAAwBZ%2BCVgbN25U9%2B7dlZubq7/85S86duyYJGn79u36xS9%2B4Y8hAQAA2MYvAeuJJ57Q7NmztX79ep8nt996660qKCjwx5AAAABs45eA9dFHH%2BnHP/5xg/bIyEgdPHjQDyMCAACwj18C1hVXXKHKysoG7UVFRbryyiv9MCIAAAD7%2BCVgjRw5UjNmzNDBgwetJ7pv3rxZ06dP1/333%2B%2BPIQEAANjGLwFr7ty5crvdio6O1rFjx9StWzf169dPN910k37%2B85/7Y0gAAAC28ctzsIKCgrRixQp9/PHH2r59u06fPq3evXvruuuu88dwAAAAbOWXgHXWtddeq2uvvdafQwAAALCdXwLWI4888q3b//CHPzTRSAAAAOznl4BVUVHhs15XV6ddu3bp6NGjuuWWW/wxJAAAANv45Sb3d955x2fJyspSaWmpfvKTn2jgwIHf%2BTgbNmzQsGHDFBMTI4fDoVWrVvlsN8Zo9uzZiomJUXBwsAYOHKhdu3b59KmurlZqaqpcLpdcLpdSU1N15MgRnz47d%2B7UgAEDFBwcrCuvvFJPP/20jDH/df0AAKB589t3EX5Ty5YtNX36dD333HPfeZ/jx4%2BrV69eWrBgQaPbn332WT3//PNasGCBtm7dKrfbrTvuuENHjx61%2BowaNUpFRUXKyspSVlaWioqKlJqaam2vqanRHXfcoZiYGG3dulUvvfSS5s2bp%2Beff/6/LxYAADRrfr3J/Zs%2B%2B%2Bwz1dXVfef%2BKSkpSklJaXSbMUYvvviiZs2apREjRkiSXn/9dUVFRenNN9/Uo48%2Bqj179igrK0sFBQXq06ePJGnRokVKTExUSUmJunbtqmXLlunkyZN67bXX5HQ6FRcXp48//ljPP/%2B8pk6daj3HCwAA4Cy/BKzHH3/cZ90Yo4qKCq1evVqjR4%2B25RylpaWqrKxUUlKS1eZ0OjVgwADl5eXp0UcfVX5%2BvlwulxWuJKlv375yuVzKy8tT165dlZ%2BfrwEDBsjpdFp9kpOTlZGRoc8//1yxsbENzu31euX1eq31mpoaW2oCAACBwS8BKz8/32f9sssuU/v27fXMM88oPT3dlnOc/SqeqKgon/aoqCjt27fP6hMZGdlg38jISGv/yspKXXXVVQ2OcXZbYwErMzNTTz311PeuAQAABCa/BKyNGzc22bm%2BeQnPGOPT1tglvvP1OXuD%2B7kuD2ZkZGjq1KnWek1NjTp27PifDx4AAASki%2BoeLDu53W5JZ2aZoqOjrfaqqiprBsrtduvAgQMN9j148KBPn29%2BMXVVVZWkhrNjZzmdTp9LigAA4NLil4B10003feebw7ds2fJfnSM2NlZut1s5OTm68cYbJUm1tbXKzc3Vr3/9a0lSYmKiPB6PtmzZoh/84AeSznzptMfjUb9%2B/aw%2BM2fOVG1trYKCgiRJ2dnZiomJaXDpEAAAQPLTYxoGDRqkkpISGWPUt29f9e3bV5JUUlKigQMHKjk52Vq%2BzbFjx1RUVKSioiJJZ25sLyoqUllZmRwOh6ZMmaK5c%2Bdq5cqVKi4u1pgxY9SmTRuNGjVKknT99ddr8ODBSk9PV0FBgQoKCpSenq6hQ4eqa9euks48xsHpdGrMmDEqLi7WypUrNXfuXD5BCAAAzskvM1hHjhzR%2BPHjNXfuXJ/2WbNm6cCBA/rjH//4nY6zbds2DRo0yFo/e99TWlqaXnvtNT3%2B%2BOM6ceKExo0bp%2BrqavXp00fZ2dkKDQ219lm2bJkmTZpkfdpw%2BPDhPs/VcrlcysnJ0fjx45WQkKDw8HBNnTrV5x4rAACAr3MYPzyS/IorrtDWrVvVpUsXn/a9e/cqISFBHo%2BnqYd0QdXU1Mjlcsnj8SgsLMzWYyfMyrL1ePi3bXMG%2B3sIAIDv4UL%2B/T0fv1widDqdysvLa9Cel5fHzeEAACDg%2BeUS4aRJkzR27Fjt2LHDuv%2BqoKBAixYt0syZM/0xJAAAANv4JWDNmjVLsbGx%2Bs1vfqNXX31V0pkbzhctWmTdgA4AABCo/PYcrFGjRhGmAABAs%2BSXe7CkMzeevfbaa/rFL36h6upqSdKHH36oiooKfw0JAADAFn6ZwSouLtbtt9%2BuNm3aqLy8XGPGjFF4eLj%2B8pe/aP/%2B/Xr99df9MSwAAABb%2BGUG67HHHtOoUaP06aefqnXr1lb7kCFDtGHDBn8MCQAAwDZ%2BmcHaunWrFi5c2OBJ6FdeeSWXCAEAQMDzywxWUFCQjh071qB97969ioiI8MOIAAAA7OOXgDV8%2BHD98pe/1KlTpyRJDodDX3zxhWbMmKERI0b4Y0gAAAC28UvAmj9/vr788ku53W6dOHFCt956q66%2B%2Bmq1bt26wfcTAgAABBq/3IPlcrmUl5ennJwcbd%2B%2BXadPn1bv3r2VnJzc4L4sAACAQNPkAauurk533nmnXn75ZSUlJSkpKamphwAAAHBBNfklwlatWmnHjh3MVAEAgGbLL/dg3X///VqyZIk/Tg0AAHDB%2Be27CBcsWKC1a9cqISFBISEhPtueffZZP40KAADg%2B/NLwCosLFTPnj0lSR999JHPNi4dAgCAQNekAeuzzz5TbGysNm7c2JSnBQAAaFJNeg9Wly5ddPDgQWv93nvv1YEDB5pyCAAAABdckwYsY4zP%2Brvvvqvjx4835RAAAAAuOL98ihAAAKA5a9KA5XA4GtzEzk3tAACguWnSm9yNMRozZoycTqck6eTJkxo7dmyDxzS8/fbbTTksAAAAWzVpwEpLS/NZv//%2B%2B5vy9AAAAE2iSQMWT28HAACXAr89yR242CXMyvL3EP4j2%2BYM9vcQAAD/H58iBAAAsFmzDlhXXXWV9cnFry/jx4%2BXJA0cOLDBtpEjR/oco7q6WqmpqXK5XHK5XEpNTdWRI0f8UQ4AAAgQzfoS4datW1VfX2%2BtFxcX64477tBPfvITqy09PV1PP/20tR4cHOxzjFGjRmn//v3KyjpzueiRRx5Ramqq3nnnnQs8egAAEKiadcBq3769z/ozzzyja665RgMGDLDa2rRpI7fb3ej%2Be/bsUVZWlgoKCtSnTx9J0qJFi5SYmKiSkhJ17dr1wg0eAAAErGZ9ifDramtrtXTpUj344IM%2BDzddtmyZIiIi1L17d02fPl1Hjx61tuXn58vlclnhSpL69u0rl8ulvLy8Jh0/AAAIHM16BuvrVq1apSNHjmjMmDFW2%2BjRoxUbGyu3263i4mJlZGToww8/VE5OjiSpsrJSkZGRDY4VGRmpysrKc57L6/XK6/Va6zU1NfYVAgAALnqXTMBavHixUlJSFBMTY7Wlp6dbP8fFxalLly5KSEjQ9u3b1bt3b0mNf5WPMeZbv%2BInMzNTTz31lI2jBwAAgeSSuES4b98%2BrV27Vg8//PC39uvdu7datWqlvXv3SpLcbrcOHDjQoN/BgwcVFRV1zuNkZGTI4/FYS3l5%2BfcrAAAABJRLImAtWbJEkZGRGjJkyLf227Vrl%2Brq6hQdHS1JSkxMlMfj0ZYtW6w%2BmzdvlsfjUb9%2B/c55HKfTqbCwMJ8FAABcOpr9JcLTp09ryZIlSktLU8uW/y73008/1bJly3TnnXcqIiJCu3fv1rRp03TjjTeqf//%2BkqTrr79egwcPVnp6ul555RVJZx7TMHToUD5BCAAAzqnZz2CtXbtWZWVlevDBB33ag4KCtG7dOiUnJ6tr166aNGmSkpKStHbtWrVo0cLqt2zZMvXo0UNJSUlKSkpSz5499cYbbzR1GQAAIIA0%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%2BePcrKylJBQYH69OkjSVq0aJESExNVUlKirl27NmktAAAgMDT7Gay9e/cqJiZGsbGxGjlypD777DNJUmlpqSorK5WUlGT1dTqdGjBggPLy8iRJ%2Bfn5crlcVriSpL59%2B8rlcll9GuP1elVTU%2BOzAACAS0ezDlh9%2BvTRn/70J7333ntatGiRKisr1a9fPx0%2BfFiVlZWSpKioKJ99oqKirG2VlZWKjIxscNzIyEirT2MyMzOte7ZcLpc6duxoY1UAAOBi16wDVkpKiu6%2B%2B2716NFDt99%2Bu9asWSPpzKXAsxwOh88%2Bxhiftm9ub6zPN2VkZMjj8VhLeXn59y0FAAAEkGYdsL4pJCREPXr00N69e637sr45E1VVVWXNarndbh04cKDBcQ4ePNhg5uvrnE6nwsLCfBYAAHDpuKQCltfr1Z49exQdHa3Y2Fi53W7l5ORY22tra5Wbm6t%2B/fpJkhITE%2BXxeLRlyxarz%2BbNm%2BXxeKw%2BAAAA39SsP0U4ffp0DRs2TJ06dVJVVZV%2B9atfqaamRmlpaXI4HJoyZYrmzp2rLl26qEuXLpo7d67atGmjUaNGSZKuv/56DR48WOnp6XrllVckSY888oiGDh3KJwgBAMA5NeuAtX//ft133306dOiQ2rdvr759%2B6qgoECdO3eWJD3%2B%2BOM6ceKExo0bp%2BrqavXp00fZ2dkKDQ21jrFs2TJNmjTJ%2BrTh8OHDtWDBAr/UAwAAAoPDGGP8PYjmrqamRi6XSx6Px/b7sRJmZdl6PASubXMG%2B3sIAHBRuZB/f8/nkroHCwAAoCkQsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABs1qyfgwVcSgLpkR08UgJAc8cMFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgs2YdsDIzM3XTTTcpNDRUkZGRuuuuu1RSUuLTZ%2BDAgXI4HD7LyJEjffpUV1crNTVVLpdLLpdLqampOnLkSFOWAgAAAkizDli5ubkaP368CgoKlJOTo1OnTikpKUnHjx/36Zeenq6KigpreeWVV3y2jxo1SkVFRcrKylJWVpaKioqUmpralKUAAIAA0tLfA7iQsrKyfNaXLFmiyMhIFRYW6pZbbrHa27RpI7fb3egx9uzZo6ysLBUUFKhPnz6SpEWLFikxMVElJSXq2rXrhSsAAAAEpGY9g/VNHo9HktS2bVuf9mXLlikiIkLdu3fX9OnTdfToUWtbfn6%2BXC6XFa4kqW/fvnK5XMrLy2uagQMAgIDSrGewvs4Yo6lTp%2Brmm29WXFyc1T569GjFxsbK7XaruLhYGRkZ%2BvDDD5WTkyNJqqysVGRkZIPjRUZGqrKystFzeb1eeb1ea72mpsbmagAAwMXskglYEyZM0EcffaRNmzb5tKenp1s/x8XFqUuXLkpISND27dvVu3dvSZLD4WhwPGNMo%2B3SmZvrn3rqKRtHDwAAAsklcYlw4sSJWr16tdavX68OHTp8a9/evXurVatW2rt3ryTJ7XbrwIEDDfodPHhQUVFRjR4jIyNDHo/HWsrLy79/EQAAIGA064BljNGECRP09ttv6/3331dsbOx599m1a5fq6uoUHR0tSUpMTJTH49GWLVusPps3b5bH41G/fv0aPYbT6VRYWJjPAgAALh3N%2BhLh%2BPHj9eabb%2Bpvf/ubQkNDrXumXC6XgoOD9emnn2rZsmW68847FRERod27d2vatGm68cYb1b9/f0nS9ddfr8GDBys9Pd16fMMjjzyioUOH8glCAADQqGY9g7Vw4UJ5PB4NHDhQ0dHR1rJixQpJUlBQkNatW6fk5GR17dpVkyZNUlJSktauXasWLVpYx1m2bJl69OihpKQkJSUlqWfPnnrjjTf8VRYAALjINesZLGPMt27v2LGjcnNzz3uctm3baunSpXYNCwAANHPNegYLAADAH5r1DBaAi1PCrKzzd7qIbJsz2N9DABBgmMECAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsxpc9A8B58OXUAP5TzGABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMJ7kDQDMTSE%2Be56nzaK6YwQIAALAZAQsAAMBmBCwAAACbEbC%2Bo5dfflmxsbFq3bq14uPjtXHjRn8PCQAAXKS4yf07WLFihaZMmaKXX35Z/fv31yuvvKKUlBTt3r1bnTp18vfwACBgBdIN%2BRI35eO7cxhjjL8HcbHr06ePevfurYULF1pt119/ve666y5lZmaed/%2Bamhq5XC55PB6FhYXZOrZA%2B8cJANB0LvVAeCH//p4PM1jnUVtbq8LCQs2YMcOnPSkpSXl5eY3u4/V65fV6rXWPxyPpzAttt3rvcduPCQBoHm6c/pa/h/Cd5f7iDtuPefbvrj/mkghY53Ho0CHV19crKirKpz0qKkqVlZWN7pOZmamnnnqqQXvHjh0vyBgBAAh0rvkX7thHjx6Vy%2BW6cCdoBAHrO3I4HD7rxpgGbWdlZGRo6tSp1vrp06f11VdfqV27dufc5z9VU1Ojjh07qry8vMmnPS8k6goczbEmiboCTXOsqznWJPmnLmOMjh49qpiYmCY539cRsM4jIiJCLVq0aDBbVVVV1WBW6yyn0ymn0%2BnTdsUVV1yQ8YWFhTWrN%2BBZ1BU4mmNNEnUFmuZYV3OsSWr6upp65uosHtNwHkFBQYqPj1dOTo5Pe05Ojvr16%2BenUQEAgIsZM1jfwdSpU5WamqqEhAQlJibqD3/4g8rKyjR27Fh/Dw0AAFyEWsyePXu2vwdxsYuLi1O7du00d%2B5czZs3TydOnNAbb7yhXr16%2BXVcLVq00MCBA9WyZfPKydQVOJpjTRJ1BZrmWFdzrElqvnU1hudgAQAA2Ix7sAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAC1Msvv6zY2Fi1bt1a8fHx2rhxo7%2BHdE4bNmzQsGHDFBMTI4fDoVWrVvlsN8Zo9uzZiomJUXBwsAYOHKhdu3b59KmurlZqaqpcLpdcLpdSU1N15MiRpiyjgczMTN10000KDQ1VZGSk7rrrLpWUlPj08Xq9mjhxoiIiIhQSEqLhw4dr//79Pn3Kyso0bNgwhYSEKCIiQpMmTVJtbW1TlmJZuHChevbsaT0IMDExUf/4xz%2Bs7YFWz7lkZmbK4XBoypQpVlsg1jZ79mw5HA6fxe12W9sD9b0lSV988YXuv/9%2BtWvXTm3atNENN9ygwsJCa3ug1XbVVVc1eK0cDofGjx8vKTB//yTp1KlT%2Br//%2Bz/FxsYqODhYV199tZ5%2B%2BmmdPn3a6hNor5VtDALO8uXLTatWrcyiRYvM7t27zeTJk01ISIjZt2%2Bfv4fWqHfffdfMmjXLvPXWW0aSWblypc/2Z555xoSGhpq33nrL7Ny509x7770mOjra1NTUWH0GDx5s4uLiTF5ensnLyzNxcXFm6NChTV2Kj%2BTkZLNkyRJTXFxsioqKzJAhQ0ynTp3MsWPHrD5jx441V155pcnJyTHbt283gwYNMr169TKnTp0yxhhz6tQpExcXZwYNGmS2b99ucnJyTExMjJkwYYJfalq9erVZs2aNKSkpMSUlJWbmzJmmVatWpri4OCDracyWLVvMVVddZXr27GkmT55stQdibU8%2B%2BaTp3r27qaiosJaqqipre6C%2Bt7766ivTuXNnM2bMGLN582ZTWlpq1q5daz755BOrT6DVVlVV5fM65eTkGElm/fr1xpjA/P0zxphf/epXpl27dubvf/%2B7KS0tNX/961/N5Zdfbl588UWrT6C9VnYhYAWgH/zgB2bs2LE%2Bbdddd52ZMWOGn0b03X0zYJ0%2Bfdq43W7zzDPPWG0nT540LpfL/P73vzfGGLN7924jyRQUFFh98vPzjSTzz3/%2Bs%2BkGfx5VVVVGksnNzTXGGHPkyBHTqlUrs3z5cqvPF198YS677DKTlZVljDkTPi%2B77DLzxRdfWH3%2B/Oc/G6fTaTweT9MWcA7h4eHmj3/8Y7Oo5%2BjRo6ZLly4mJyfHDBgwwApYgVrbk08%2BaXr16tXotkB%2Bbz3xxBPm5ptvPuf2QK7trMmTJ5trrrnGnD59OmB//4wxZsiQIebBBx/0aRsxYoS5//77jTHN47X6b3GJMMDU1taqsLBQSUlJPu1JSUnKy8vz06j%2Be6WlpaqsrPSpx%2Bl0asCAAVY9%2Bfn5crlc6tOnj9Wnb9%2B%2BcrlcF1XNHo9HktS2bVtJUmFhoerq6nxqi4mJUVxcnE9tcXFxPl9EmpycLK/X63M5xB/q6%2Bu1fPlyHT9%2BXImJiQFfjySNHz9eQ4YM0e233%2B7THsi17d27VzExMYqNjdXIkSP12WefSQrs99bq1auVkJCgn/zkJ4qMjNSNN96oRYsWWdsDuTbpzL/jS5cu1YMPPiiHwxHQv38333yz1q1bp48//liS9OGHH2rTpk268847JQX%2Ba/V9NP9HqTYzhw4dUn19fYMvmo6KimrwhdSB4OyYG6tn3759Vp/IyMgG%2B0ZGRl40NRtjNHXqVN18882Ki4uTdGbcQUFBCg8P9%2Bn79deqsrKyQe3h4eEKCgryW207d%2B5UYmKiTp48qcsvv1wrV65Ut27dVFRUFJD1nLV8%2BXIVFhZq27ZtDbYF6mvVp08f/elPf9K1116rAwcO6Fe/%2BpX69eunXbt2BfR767PPPtPChQs1depUzZw5U1u2bNGkSZPkdDr1wAMPBHRtkrRq1SodOXJEY8aMkRS4v3%2BS9MQTT8jj8ei6665TixYtVF9frzlz5ui%2B%2B%2B6T1Hz%2Bjf9vELAClMPh8Fk3xjRoCyTnq6ex2i6mmidMmKCPPvpImzZtOm/fi722rl27qqioSEeOHNFbb72ltLQ05ebmnrP/xV6PJJWXl2vy5MnKzs5W69atv/N%2BF3ttKSkp1s89evRQYmKirrnmGr3%2B%2Buvq27evpMB8b50%2BfVoJCQmaO3euJOnGG2/Url27tHDhQj3wwANWv0CsTZIWL16slJQUn9moxgRCPStWrNDSpUv15ptvqnv37ioqKtKUKVMUExOjtLQ0q1%2BgvlbfB5cIA0xERIRatGjRINVXVVU1%2BB9CIDj7iadvq8ftduvAgQMN9j148OBFUfPEiRO1evVqrV%2B/Xh06dLDa3W63amtrVV1d7dP/m7V9s/bq6mrV1dX5rbagoCD9z//8jxISEpSZmalevXrpN7/5TcDWI525BFhVVaX4%2BHi1bNlSLVu2VG5urn7729%2BqZcuWioqKCtjavi4kJEQ9evTQ3r17A/q9FR0drW7duvm0XX/99SorK5MU2P9u7Nu3T2vXrtXDDz9stQXye%2BtnP/uZZsyYoZEjR6pHjx5KTU3VY489pszMTEmB/Vp9XwSsABMUFKT4%2BHjl5OT4tOfk5Khfv35%2BGtV/LzY2Vm6326ee2tpa5ebmWvUkJibK4/Foy5YtVp/NmzfL4/H4tWZjjCZMmKC3335b77//vmJjY322x8fHq1WrVj61VVRUqLi42Ke24uJiVVRUWH2ys7PldDoVHx/fNIWchzFGXq83oOu57bbbtHPnThUVFVlLQkKCRo8ebf0cqLV9ndfr1Z49exQdHR3Q763%2B/fs3eOTJxx9/rM6dO0sK7H83lixZosjISA0ZMsRqC%2BT31r/%2B9S9ddplvlGjRooX1mIZAfq2%2Bt6a9px52OPuYhsWLF5vdu3ebKVOmmJCQEPP555/7e2iNOnr0qNmxY4fZsWOHkWSef/55s2PHDuuxEs8884xxuVzm7bffNjt37jT33Xdfox/h7dmzp8nPzzf5%2BfmmR48efv8I7//%2B7/8al8tlPvjgA5%2BPX//rX/%2By%2BowdO9Z06NDBrF271mzfvt3ceuutjX70%2BrbbbjPbt283a9euNR06dPDbR68zMjLMhg0bTGlpqfnoo4/MzJkzzWWXXWays7MDsp5v8/VPERoTmLVNmzbNfPDBB%2Bazzz4zBQUFZujQoSY0NNT6tyBQ31tbtmwxLVu2NHPmzDF79%2B41y5YtM23atDFLly61%2BgRibfX19aZTp07miSeeaLAtEH//jDEmLS3NXHnlldZjGt5%2B%2B20TERFhHn/8catPIL5WdiBgBajf/e53pnPnziYoKMj07t3bejTAxWj9%2BvVGUoMlLS3NGHPmY7xPPvmkcbvdxul0mltuucXs3LnT5xiHDx82o0ePNqGhoSY0NNSMHj3aVFdX%2B6Gaf2usJklmyZIlVp8TJ06YCRMmmLZt25rg4GAzdOhQU1ZW5nOcffv2mSFDhpjg4GDTtm1bM2HCBHPy5MkmruaMBx980Pq9at%2B%2BvbntttuscGVM4NXzbb4ZsAKxtrPPE2rVqpWJiYkxI0aMMLt27bK2B%2Bp7yxhj3nnnHRMXF2ecTqe57rrrzB/%2B8Aef7YFY23vvvWckmZKSkgbbAvH3zxhjampqzOTJk02nTp1M69atzdVXX21mzZplvF6v1ScQXys7OIwxxi9TZwAAAM0U92ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYLP/B%2BP1DW3lRroUAAAAAElFTkSuQmCC"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common-1143383242605290684">
<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">1.0</td>
<td class="number">43</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">9.0</td>
<td class="number">37</td>
<td class="number">0.7%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">5.0</td>
<td class="number">36</td>
<td class="number">0.7%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">10.0</td>
<td class="number">35</td>
<td class="number">0.7%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">8.0</td>
<td class="number">35</td>
<td class="number">0.7%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">12.0</td>
<td class="number">34</td>
<td class="number">0.7%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">81.0</td>
<td class="number">33</td>
<td class="number">0.7%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">16.0</td>
<td class="number">33</td>
<td class="number">0.7%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">43.0</td>
<td class="number">31</td>
<td class="number">0.6%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">29.0</td>
<td class="number">30</td>
<td class="number">0.6%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (518)</td>
<td class="number">4646</td>
<td class="number">92.1%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">50</td>
<td class="number">1.0%</td>
<td>
<div class="bar" style="width:2%"> </div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme-1143383242605290684">
<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">1.0</td>
<td class="number">43</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">2.0</td>
<td class="number">26</td>
<td class="number">0.5%</td>
<td>
<div class="bar" style="width:60%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">3.0</td>
<td class="number">24</td>
<td class="number">0.5%</td>
<td>
<div class="bar" style="width:56%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">4.0</td>
<td class="number">29</td>
<td class="number">0.6%</td>
<td>
<div class="bar" style="width:67%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">5.0</td>
<td class="number">36</td>
<td class="number">0.7%</td>
<td>
<div class="bar" style="width:83%"> </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">739.0</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:50%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">750.0</td>
<td class="number">2</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">765.0</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:50%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">775.0</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:50%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">813.0</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:50%"> </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_duration">duration<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>192</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>3.8%</td>
</tr>
<tr class="ignore">