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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>13 </td>
</tr>
<tr>
<th>Number of observations</th>
<td>1309 </td>
</tr>
<tr>
<th>Total Missing (%)</th>
<td>10.0% </td>
</tr>
<tr>
<th>Total size in memory</th>
<td>133.1 KiB </td>
</tr>
<tr>
<th>Average record size in memory</th>
<td>104.1 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>5 </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>0 </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_Age"><code>Age</code></a> has 263 / 20.1% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_Cabin"><code>Cabin</code></a> has 1014 / 77.5% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_Cabin"><code>Cabin</code></a> has a high cardinality: 187 distinct values <span class="label label-warning">Warning</span></li><li><a href="#pp_var_Fare"><code>Fare</code></a> has 17 / 1.3% zeros <span class="label label-info">Zeros</span></li><li><a href="#pp_var_Name"><code>Name</code></a> has a high cardinality: 1307 distinct values <span class="label label-warning">Warning</span></li><li><a href="#pp_var_Parch"><code>Parch</code></a> has 1002 / 76.5% zeros <span class="label label-info">Zeros</span></li><li><a href="#pp_var_SibSp"><code>SibSp</code></a> has 891 / 68.1% zeros <span class="label label-info">Zeros</span></li><li><a href="#pp_var_Survived"><code>Survived</code></a> has 549 / 41.9% zeros <span class="label label-info">Zeros</span></li><li><a href="#pp_var_Survived"><code>Survived</code></a> has 418 / 31.9% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_Ticket"><code>Ticket</code></a> has a high cardinality: 929 distinct values <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_index">index<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>891</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>68.1%</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>369.48</td>
</tr>
<tr>
<th>Minimum</th>
<td>0</td>
</tr>
<tr>
<th>Maximum</th>
<td>890</td>
</tr>
<tr class="ignore">
<th>Zeros (%)</th>
<td>0.2%</td>
</tr>
</table>
</div>
</div>
</div>
<div class="col-md-3 collapse in" id="minihistogram2002816160050152066">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8li6FKAAABFklEQVR4nO3cywkCQRBAQVcMySDMybM5GYQ5jXeRd/DDDEtVBH159NIwu40xxgF46zh7AFjZafYAr87X%2B%2BwRfuZxu8wegS/ZIBAEAkEgEAQCQSAQBAJhuTPvnnxysnYaXosNAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCwXsQ/mYP72EEspg9/RdsD3xiQRAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAiEbYwxZg8Bq7JBIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIDwBCcwS/E2TRdgAAAAASUVORK5CYII%3D">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives2002816160050152066,#minihistogram2002816160050152066"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives2002816160050152066">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles2002816160050152066"
aria-controls="quantiles2002816160050152066" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram2002816160050152066" aria-controls="histogram2002816160050152066"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common2002816160050152066" aria-controls="common2002816160050152066"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme2002816160050152066" aria-controls="extreme2002816160050152066"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles2002816160050152066">
<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>32.4</td>
</tr>
<tr>
<th>Q1</th>
<td>163</td>
</tr>
<tr>
<th>Median</th>
<td>327</td>
</tr>
<tr>
<th>Q3</th>
<td>563</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>824.6</td>
</tr>
<tr>
<th>Maximum</th>
<td>890</td>
</tr>
<tr>
<th>Range</th>
<td>890</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>400</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>248.77</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.67329</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>-0.91079</td>
</tr>
<tr>
<th>Mean</th>
<td>369.48</td>
</tr>
<tr>
<th>MAD</th>
<td>209.14</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>0.4504</td>
</tr>
<tr>
<th>Sum</th>
<td>483648</td>
</tr>
<tr>
<th>Variance</th>
<td>61885</td>
</tr>
<tr>
<th>Memory size</th>
<td>10.4 KiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram2002816160050152066">
<img 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75c3bt3v%2BH9/vGPf1TDNAAAADfP456D1apVK02cOFHbtm1zrf3xj3/UM888o8LCQhsnAwAAqByPC6zU1FSdP39ezZs3d6316tVL5eXlmjNnjo2TAQAAVI7HXSL89NNPtX79eoWFhbnWmjRporS0NP3qV7%2BycTIAAIDK8bgzWBcvXlRgYGCFdX9/f124cMGGiQAAAG6OxwVWt27dNGfOHH333XeutW%2B%2B%2BUavvvqq20s1AAAAeCqPu0SYkpKip59%2BWvfff7%2BCg4NVXl6ukpISRUVF6b333rN7PAAAgBvyuMCKiorSxo0b9cknn%2BjkyZPy9/dX06ZN1bNnTwUEBNg9HgAAwA15XGBJUu3atdW3b1%2B7xwAAALglHhdYp06d0rx58/TVV1/p4sWLFW7fvn27DVMBAABUnscFVkpKivLz89WzZ0/VqVPnlo%2Bze/duJScnKyYmRvPnz3e7bdOmTXrrrbd0%2BvRpNW3aVC%2B88IJ69uwpSSovL9eCBQu0YcMGFRUVqX379po5c6aioqJu6%2BMCAAA1h8cFVnZ2trZv36769evf8jGWLFmi1atXq3HjxhVuO3LkiJKTk5Wenq5f/vKXyszM1HPPPactW7aoYcOGWrlypdavX68lS5YoIiJC8%2BfPV2JiotauXSs/P7/b%2BdAAAEAN4XEv03DXXXfd1pkrSQoMDLxuYK1atUpxcXGKi4tTYGCgBg0apJYtW2rdunWSpIyMDI0dO1b33XefgoODNXXqVOXk5PC7DwEAQKV5XGBNmDBB6enpsizrlo8xZswYhYSEXPO2Q4cOqU2bNm5rbdq0UVZWli5evKhjx4653R4cHKzGjRsrKyvrlucBAAA1i8ddIvzkk0/0xRdfaM2aNWrUqJH8/d0b8IMPPrit4xcWFqpu3bpua3Xr1tWxY8f03XffybKsa95eUFBQ6feRn58vp9PptuZw1FF4ePitD34NAQEe18eAT3I4eKxV1tV/l/j3yV7sg/08LrCCg4P14IMPVun7uNHZsds5eyb9cJkxPT3dbS0xMVFJSUm3dVwA9ggLC7J7BK8TGnqn3SNA7IOdPC6wUlNTq/T4YWFhKiwsdFsrLCxU/fr1Va9ePfn7%2B1/z9rvuuqvS7yMhIUHx8fFuaw5HHRUUlNz64NfAdyZA9TD92PVlAQH%2BCg29U0VFF1RWVm73ODUW%2B/Aju75B8rjAkqTjx49r48aN%2Buc//%2BkKrgMHDqhTp063fezo6GhlZ2e7rWVlZWngwIEKDAxUixYtdOjQIXXv3l2SVFRUpJMnT6p9%2B/aVfh/h4eEVLgc6nedVWlqz/ycHvBWP3ZtXVlbO580DsA/28bhTIHv27NGgQYO0detWbdiwQdIPLz46ZswYIy8y%2Bthjj%2Bmvf/2rdu7cqUuXLmn16tX6%2BuuvNWjQIEnS6NGjtXz5cuXk5Ki4uFhpaWlq3bq12rVrd9vvGwAA1AwedwZr/vz5evHFF/Xkk0%2B6zhpFRUVpzpw5WrRokfr06XPDY1yNodLSUknStm3bJP1wpqply5ZKS0tTamqqcnNz1bx5c73zzjtq0KCBJGnUqFFyOp164oknVFJSopiYmArPpwIAAPg5ftbtPqPbsI4dO2rv3r2qXbu2OnTo4Hr9qbKyMnXu3NlrX4/K6Txv/JgOh7/6pe02flwA7jZP6WH3CF7D4fBXWFiQCgpKuDRlI/bhRw0aXPtlm6qax10iDAkJuebvIMzPz1ft2rVtmAgAAODmeFxgde7cWbNnz1ZxcbFr7cSJE0pOTtb9999v42QAAACV43HPwXr55Zf15JNPKiYmxnVZ8MKFC2rRooXmzJlj93gAAAA35HGB1bBhQ23YsEG7du3SiRMndMcdd6hp06bq0aMHv2wZAAB4BY8LLEmqVauW%2Bvbta/cYAAAAt8TjAis%2BPv5nz1SZeC0sAACAquRxgfXII4%2B4BVZZWZlOnDihrKwsPfnkkzZOBgAAUDkeF1jTp0%2B/5npmZqb%2B9re/VfM0AAAAN8/jXqbhevr27auNGzfaPQYAAMANeU1gHT58WB72ovMAAADX5HGXCEeNGlVh7cKFC8rJyVH//v1tmAgAAODmeFxgNWnSpMJPEQYGBmrEiBEaOXKkTVMBAOB9vOn31fra7/z0uMDi1doBAIC387jA%2Bstf/lLp%2Bw4ZMqQKJwGAHzz8/z6zewQAXsbjAuuVV15ReXl5hSe0%2B/n5ua35%2BfkRWAAAwCN5XGD913/9l5YuXaqJEyeqVatWsixLR48e1ZIlS/T4448rJibG7hEBAAB%2BlscF1pw5c7R48WJFRES41rp27aqoqCiNGzdOGzZssHE6AACAG/O418H6%2BuuvVbdu3QrroaGhys3NtWEiAACAm%2BNxgRUZGak5c%2BaooKDAtVZUVKR58%2Bbp3nvvtXEyAACAyvG4S4QpKSmaNm2aMjIyFBQUJH9/fxUXF%2BuOO%2B7QokWL7B4PAADghjwusHr27KmdO3dq165dOnPmjCzLUkREhB544AGFhITYPR4AAMANeVxgSdKdd96pPn366MyZM4qKirJ7HAAAgJvicc/BunjxopKTk9WpUyc9/PDDkn54Dtb48eNVVFRk83QAAAA35nGB9cYbb%2BjIkSNKS0uTv/%2BP45WVlSktLc3GyQAAACrH4wIrMzNTb775pgYMGOD6pc%2BhoaFKTU3V1q1bbZ4OAADgxjwusEpKStSkSZMK6/Xr19f3339f/QMBAADcJI8LrHvvvVd/%2B9vfJMntdw9u2bJFv/jFL%2BwaCwAAoNI87qcIf/3rX2vy5MkaPny4ysvLtWzZMmVnZyszM1OvvPKK3eMBAADckMcFVkJCghwOh1asWKGAgAC9/fbbatq0qdLS0jRgwAC7xwMAALghjwusc%2BfOafjw4Ro%2BfLjdowAAANwSj3sOVp8%2BfdyeewUAAOBtPC6wYmJitHnzZrvHAAAAuGUed4nwnnvu0euvv67Fixfr3nvvVa1atdxunzdvXpW%2B/3379unpp592W7MsS1euXNHy5cs1ZswY1a5d2%2B32//iP/3C96jwAAIDHBdaxY8fUrFkzSVJBQUG1v/9u3bopKyvLbe3tt9/Wl19%2BKUmKjIzUjh07qn0uAADgPTwmsKZOnar58%2Bfrvffec60tWrRIiYmJNk4l/fOf/9SyZcv0P//zPzp16pStswAAAO/gMc/ButZZocWLF9swibsFCxZo%2BPDhrhc5LSkpUWJiomJiYvTAAw9o2bJlPCkfAAC48ZgzWNeKFLvD5fTp09q6davrdyAGBwerZcuWevLJJzV//nzt3btXzz//vEJCQjRixAjX2%2BXn58vpdLody%2BGoo/DwcKPzBQR4TB8DAHBbHA7f%2BprmMYF19Rc732itOq1cuVL9%2B/dXgwYNJElt27Z1u4TZs2dPjRo1SmvWrHELrIyMDKWnp7sdKzExUUlJSdUzOAAAXiYsLMjuEYzymMDyRJmZmUpOTv7Z%2B0RGRiozM9NtLSEhQfHx8W5rDkcdFRSUGJ2PM1gAAF9h%2BmvkVXaFG4F1HUeOHFFubq569OjhWtu8ebMKCgr061//2rV2/PhxRUVFub1teHh4hcuBTud5lZaWV%2B3QAAB4KV/7GukxgXXlyhVNmzbthmtV/TpYVx0%2BfFj16tVTcHCwa61WrVqaO3eu7r33XsXExGjv3r3685//rLlz51bLTAAAwDt4TGB16dJF%2Bfn5N1yrLmfPnnU99%2Bqqvn37KiUlRbNmzVJeXp7uvvtupaSkqH///rbMCAAAPJOfZfeP6tUQTud548d0OPzVL2238eMCAFDdNk/pceM73YIGDUKq5Lg3wrOkAQAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADHPYPYAdWrVqpVq1asnPz8%2B19thjj%2Bl3v/ud9uzZo3nz5un48eO65557NGHCBA0aNMjGaQEAgLepkYElSVu2bFGjRo3c1vLz8/Xv//7veuWVV/Too4/q888/16RJk9S0aVO1a9fOpkkBAIC34RLhv1i/fr2aNGmiESNGKDAwULGxsYqPj9eqVavsHg0AAHiRGnsGa968eTpw4ICKi4v18MMP66WXXtKhQ4fUpk0bt/u1adNGmzdvvqlj5%2Bfny%2Bl0uq05HHUUHh5%2B23P/q4AA%2BhgA4BscDt/6mlYjA6tjx46KjY3V3LlzderUKU2ZMkWvvvqqCgsLFRER4XbfevXqqaCg4KaOn5GRofT0dLe1xMREJSUl3fbsAAD4orCwILtHMKpGBlZGRobrv%2B%2B77z5Nnz5dkyZNUpcuXYwcPyEhQfHx8W5rDkcdFRSUGDn%2BVZzBAgD4CtNfI6%2ByK9xqZGD9VKNGjVRWViZ/f38VFha63VZQUKD69evf1PHCw8MrXA50Os%2BrtLT8tmcFAMAX%2BdrXyBp3CuTw4cOaM2eO21pOTo5q166tuLg4ZWdnu92WnZ2tDh06VOeIAADAy9W4wLrrrruUkZGhxYsX6/Llyzpx4oQWLFighIQEDR48WLm5uVq1apUuXbqkXbt2adeuXXrsscfsHhsAAHgRP8uyLLuHqG779u3TvHnzdPToUdWuXVtDhw7V1KlTFRgYqH379um1115TTk6OIiMjNW3aNPXv3/%2B236fTed7A5O4cDn/1S9tt/LgAAFS3zVN6VMlxGzQIqZLj3kiNDCw7EFgAAFyfrwVWjbtECAAAUNUILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMcdg9gl9zcXM2ePVv79%2B9XQECAHnzwQaWkpKioqEh9%2BvRR7dq13e4/ZcoUjRs3zqZpAQCAN6mxgTVx4kRFR0drx44dOn/%2BvBITEzV37lxNmjRJkpSVlWXzhAAAwFvVyEuERUVFio6O1rRp0xQUFKSGDRtq6NCh2r9/v92jAQAAH1Ajz2CFhoYqNTXVbS0vL0/h4eGuv//2t7/VX//6V5WWlmrkyJFKSkpSrVq1KnX8/Px8OZ1OtzWHo47b8U0ICKiRfQwA8EEOh299TauRgfVTWVlZWrFihd566y3Vrl1bnTp1Ur9%2B/fT666/ryJEjmjx5shwOh55//vlKHS8jI0Pp6elua4mJiUpKSqqK8QEA8HphYUF2j2CUn2VZlt1D2Onzzz/XpEmT9Nxzz2nMmDHXvM%2Bf/vQnvfPOO9q1a1eljlmdZ7Di51ZuJgAAPNlH0x%2BokuPaFW41%2BgzWjh079OKLL%2Bp3v/udhgwZct37RUZG6uzZs7IsS35%2Bfjc8bnh4eIWYcjrPq7S0/LZnBgDAF/na10jfuuB5E7744gslJydrwYIFbnG1Z88evfXWW273PX78uCIjIysVVwAAADUysEpLSzVjxgxNnz5dPXv2dLstJCREixYt0tq1a3XlyhVlZWXpv//7vzV69GibpgUAAN6mRj4Ha//%2B/frNb35T4cVEJWnLli06fPiw0tPT9fXXXyskJERPPPGEnnnmGfn733qPOp3nb2fka3I4/NUvbbfx4wIAUN02T%2BlRJcdt0CCkSo57IzXyOVhdu3bV0aNHr3t7ZGSk%2BvXrV40TAQAAX1IjLxECAABUJQILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMALrGnJzc/Xss88qJiZGvXv31htvvKHy8nK7xwIAAF7CYfcAnmjy5Mlq27attm3bpm%2B//VYTJkzQ3Xffraeeesru0QAAgBfgDNZPZLvcIMoAAAmHSURBVGVl6csvv9T06dMVEhKiJk2aaOzYscrIyLB7NAAA4CU4g/UThw4dUmRkpOrWretaa9u2rU6cOKHi4mIFBwff8Bj5%2BflyOp1uaw5HHYWHhxudNSCAPgYA%2BAaHw7e%2BphFYP1FYWKjQ0FC3tauxVVBQUKnAysjIUHp6utvac889p8mTJ5sbVD%2BE3JMNv1JCQoLxeEPl5efnKyMjg32wGfvgGdgHz8A%2B2M%2B3ctEQy7Ju6%2B0TEhK0Zs0atz8JCQmGpvuR0%2BlUenp6hbNlqF7sg2dgHzwD%2B%2BAZ2Af7cQbrJ%2BrXr6/CwkK3tcLCQvn5%2Bal%2B/fqVOkZ4eDjfMQAAUINxBusnoqOjlZeXp3PnzrnWsrKy1Lx5cwUFBdk4GQAA8BYE1k%2B0adNG7dq107x581RcXKycnBwtW7ZMo0ePtns0AADgJQJmzpw50%2B4hPM0DDzygDRs2aNasWdq4caNGjBihcePGyc/Pz%2B7RKggKClL37t05u2Yz9sEzsA%2BegX3wDOyDvfys231GNwAAANxwiRAAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAssL5ebm6tlnn1VMTIx69%2B6tN954Q%2BXl5XaP5ZNyc3OVmJiomJgYxcbG6qWXXlJRUZEk6ciRI3r88cfVpUsX9e/fX0uXLnV7202bNunRRx9Vp06dNGzYMH366ad2fAg%2BZ/bs2WrVqpXr73v27NGIESPUuXNnDRw4UOvWrXO7//Lly/XQQw%2Bpc%2BfOGj16tLKzs6t7ZJ/y1ltvqWfPnurYsaPGjh2r06dPS2IfqtPhw4c1ZswYde3aVT169ND06dN17tw5SeyDR7HgdYYOHWrNmDHDKioqsk6cOGH179/fWrp0qd1j%2BaRf/epX1ksvvWQVFxdbeXl51rBhw6yUlBTrwoUL1gMPPGAtXLjQKikpsbKzs63u3btbmZmZlmVZ1uHDh63o6Ghr586d1sWLF621a9daHTp0sPLy8mz%2BiLzb4cOHre7du1stW7a0LMuyvvnmG6tjx47WqlWrrIsXL1qfffaZ1b59e%2BvgwYOWZVnW9u3bra5du1p///vfrQsXLljvvPOO1aNHD6ukpMTOD8NrrVixwhowYICVk5NjnT9/3po1a5Y1a9Ys9qEaXblyxerRo4c1b94869KlS9a5c%2Besp556ypo8eTL74GE4g%2BVlsrKy9OWXX2r69OkKCQlRkyZNNHbsWGVkZNg9ms8pKipSdHS0pk2bpqCgIDVs2FBDhw7V/v37tXPnTl25ckWTJk1SnTp11LZtW40cOdK1D6tWrVJcXJzi4uIUGBioQYMGqWXLlhW%2Bm0TllZeX6/e//73Gjh3rWlu/fr2aNGmiESNGKDAwULGxsYqPj9eqVaskSRkZGRo2bJg6dOigO%2B64Q%2BPHj5ckffzxx3Z8CF5v6dKlmjp1qpo1a6bg4GDNmDFDM2bMYB%2BqkdPplNPp1ODBg1W7dm2FhYWpX79%2BOnLkCPvgYQgsL3Po0CFFRkaqbt26rrW2bdvqxIkTKi4utnEy3xMaGqrU1FTdfffdrrW8vDyFh4fr0KFDatWqlQICAly3tWnTxnW6/dChQ2rTpo3b8dq0aaOsrKzqGd4HffDBBwoMDNSjjz7qWrve5/l6%2B%2BDv76/WrVuzD7fgm2%2B%2B0enTp/Xdd9/pkUceUUxMjJKSknTu3Dn2oRpFRESodevWysjIUElJib799ltt3bpVvXr1Yh88DIHlZQoLCxUaGuq2djW2CgoK7BipxsjKytKKFSs0adKka%2B5DvXr1VFhYqPLychUWFrpFsPTDPrFHt%2Bbs2bNauHChfv/737utX28frn6e2Qdzzpw5I0nasmWLli1bprVr1%2BrMmTOaMWMG%2B1CN/P39tXDhQm3fvl2dO3dWbGysSktLNW3aNPbBwxBYXsiyLLtHqHE%2B//xzjRs3TtOmTVNsbOx17%2Bfn5%2Bf6b/bJnNTUVA0bNkzNmze/6bdlH8y4%2BnkcP368IiIi1LBhQ02ePFk7duy4qbfH7bl8%2BbImTpyoAQMGaP/%2B/frkk08UEhKi6dOnV%2Brt2YfqQ2B5mfr166uwsNBtrbCwUH5%2Bfqpfv75NU/m2HTt26Nlnn1VKSorGjBkj6Yd9%2BOl3fYWFhapXr578/f0VFhZ2zX1ij27enj17dODAASUmJla47Vqf54KCAtfnmX0w5%2Bql8n89QxIZGSnLsnTlyhX2oZrs2bNHp0%2Bf1gsvvKCQkBBFREQoKSlJH330kfz9/dkHD0JgeZno6Gjl5eW5fiRX%2BuHSVfPmzRUUFGTjZL7piy%2B%2BUHJyshYsWKAhQ4a41qOjo3X06FGVlpa61rKystShQwfX7T/98ed/vR2Vt27dOn377bfq3bu3YmJiNGzYMElSTEyMWrZsWeHznJ2d7bYPhw4dct1WVlamw4cPsw%2B3oGHDhgoODtaRI0dca7m5uapVq5bi4uLYh2pSVlam8vJytzNRly9fliTFxsayD57Evh9gxK0aOXKklZKSYp0/f946duyYFR8fb61YscLusXzOlStXrIcfftj64IMPKtx26dIlq3fv3tabb75pff/999bf//53q2vXrtbHH39sWZZlHT161GrXrp318ccfWxcvXrRWrVplderUycrPz6/mj8L7FRYWWnl5ea4/Bw4csFq2bGnl5eVZubm5VqdOnawPP/zQunjxorVz506rffv21pEjRyzLsqxdu3ZZXbp0sQ4cOGB9//331sKFC624uDjrwoULNn9U3mn27NlWnz59rK%2B//to6e/aslZCQYL300kvW2bNn2Ydqcu7cOat79%2B7WH/7wB%2Bv777%2B3zp07Z02cONH6zW9%2Bwz54GALLC%2BXl5Vnjx4%2B32rdvb8XGxlpvvvmmVV5ebvdYPmffvn1Wy5Ytrejo6Ap/Tp8%2BbR09etQaNWqUFR0dbfXq1ctauXKl29tnZmZa/fv3t9q2bWsNHjzY2rt3r00fiW85deqU63WwLMuy9u7daw0aNMhq27at1b9/f9drkV21cuVKKy4uzoqOjrZGjx5tHT16tLpH9hmXLl2yZs6caXXr1s3q2LGjlZycbBUXF1uWxT5Up6ysLOvxxx%2B3unbtasXGxlpTpkyxzpw5Y1kW%2B%2BBJ/CyLZ7wBAACYxHOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADPv/9Lr7GmhqgOMAAAAASUVORK5CYII%3D"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common2002816160050152066">
<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</td>
<td class="number">2</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">314</td>
<td class="number">2</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">286</td>
<td class="number">2</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">285</td>
<td class="number">2</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">284</td>
<td class="number">2</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">283</td>
<td class="number">2</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">282</td>
<td class="number">2</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">281</td>
<td class="number">2</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">280</td>
<td class="number">2</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">279</td>
<td class="number">2</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 (881)</td>
<td class="number">1289</td>
<td class="number">98.5%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme2002816160050152066">
<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</td>
<td class="number">2</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1</td>
<td class="number">2</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">2</td>
<td class="number">2</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">3</td>
<td class="number">2</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">4</td>
<td class="number">2</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:100%"> </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">886</td>
<td class="number">1</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">887</td>
<td class="number">1</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">888</td>
<td class="number">1</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">889</td>
<td class="number">1</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">890</td>
<td class="number">1</td>
<td class="number">0.1%</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_Age">Age<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>99</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>7.6%</td>
</tr>
<tr class="alert">
<th>Missing (%)</th>
<td>20.1%</td>
</tr>
<tr class="alert">
<th>Missing (n)</th>
<td>263</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>29.881</td>
</tr>
<tr>
<th>Minimum</th>
<td>0.17</td>
</tr>
<tr>
<th>Maximum</th>
<td>80</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-1656804652042099831">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8li6FKAAABMUlEQVR4nO3dwY2CUBRA0XFiSRZhT66npynCnrABcwMmhKeesyf5m8v3fSCelmVZfoCnfo9eAEx2PnoBR7nc/jdfc/%2B77rASJrODQBAIBIFA%2BNoZ5BVb5xYzy/uzg0AQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASvu%2B/IZ73vzw4CQSAQBAJBIBAEAkEgEAQCQSAQPCgcxsPFWewgEAQCQSAQBAJBIBAEAmHcMa9jTiY5TfuX21cCYRs3lPX8xIIgEAgCgTBuSGd/DkLWs4NAEAgEgUAQCARDOqt862AvEHbzCVGNe9UEJjGDQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQHgAsU0nmBR%2B4MYAAAAASUVORK5CYII%3D">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives-1656804652042099831,#minihistogram-1656804652042099831"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives-1656804652042099831">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles-1656804652042099831"
aria-controls="quantiles-1656804652042099831" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram-1656804652042099831" aria-controls="histogram-1656804652042099831"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common-1656804652042099831" aria-controls="common-1656804652042099831"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme-1656804652042099831" aria-controls="extreme-1656804652042099831"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles-1656804652042099831">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>0.17</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>5</td>
</tr>
<tr>
<th>Q1</th>
<td>21</td>
</tr>
<tr>
<th>Median</th>
<td>28</td>
</tr>
<tr>
<th>Q3</th>
<td>39</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>57</td>
</tr>
<tr>
<th>Maximum</th>
<td>80</td>
</tr>
<tr>
<th>Range</th>
<td>79.83</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>18</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>14.413</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.48236</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>0.14695</td>
</tr>
<tr>
<th>Mean</th>
<td>29.881</td>
</tr>
<tr>
<th>MAD</th>
<td>11.262</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>0.40767</td>
</tr>
<tr>
<th>Sum</th>
<td>31256</td>
</tr>
<tr>
<th>Variance</th>
<td>207.75</td>
</tr>
<tr>
<th>Memory size</th>
<td>10.4 KiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram-1656804652042099831">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%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%2BuHbs2KE2bdpczQgAAMChXHkGq7i4WDExMZo5c6aaNGmiNm3a6IEHHtD%2B/fsv%2B7Xr169XfHy84uPjFRISomHDhikqKkqbN2%2B%2BCpMDAAA3cGXBCgsLU3p6ulq2bFm9lp%2Bfr8jIyOo/P/XUU%2BrXr5/uvPNOLV68WOXl5ZKk7OxsRUdH%2B%2BwXHR39s2e8AAAALubaS4Q/5fF4tGbNGq1YsUKNGjVSjx49dN999%2BnFF19UTk6Opk2bpuDgYD3xxBPyer0KDw/3%2Bfrw8HAdOXKk1vdXUFCgwsJCn7Xg4MY%2BBa%2B%2BgoICfX53Ezdna0jBwfb97%2BXmx8yt2dyaSyKbE7kxl%2BsL1meffaapU6dq5syZiouLkyStW7eu%2Bni3bt00efJkrVy5Uk888YQkybKset1nZmamMjIyfNaSk5OVkpJSr30vJSzseuN7%2Bgs3Z2sI9y36yO4Ram3/iwPtHqHO3Pp8dGsuiWxO5KZcri5Yu3fv1pNPPqlnn31Ww4cP/9nbtW3bVt9%2B%2B60sy1Lz5s3l9Xp9jnu9XkVERNT6fpOSkpSQkOCzFhzcWEVFJXUL8AuCggIVFna9iovPq7Kyyti%2B/sDN2fAjk6%2BFhubW56Nbc0lkc6KGzNW8eROj%2B9WWawvW559/rrS0NC1dulT9%2BvWrXt%2B3b58OHjxY/dOEknT06FG1bdtWAQEBiomJUVZWls9eHo9HQ4YMqfV9R0ZG1rgcWFh4VhUV5l8MlZVVDbKvP3BztmudEx9Xtz4f3ZpLIpsTuSmXey52/kRFRYXmzJmj1NRUn3IlSaGhoVq%2BfLk2bdqk8vJyeTwe/fnPf9a4ceMkSWPGjNEnn3yiPXv2qKysTBs2bNDx48c1bNgwO6IAAAAHcuUZrIMHDyo3N1fz5s3TvHnzfI7t2LFDS5YsUUZGhv7zP/9ToaGhevDBB/XQQw9JkqKiorRo0SKlp6crLy9PnTp10sqVK9WqVSs7ogAAAAdyZcHq1auXDh8%2B/LPH27Ztq/vuu%2B9njycmJioxMbEhRgMAANcAV14iBAAAsBMFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhrm2YOXl5Sk5OVmxsbGKi4vTrFmzVFxcLEnKycnR%2BPHj1bNnTyUmJmr16tU%2BX7tt2zYNHTpUPXr00IgRI7R37147IgAAAIdybcGaMmWKwsLCtHv3bm3cuFFfffWVXnrpJZWWlmry5Mm688479dFHH2nJkiVauXKldu3aJenH8pWWlqbU1FT9/e9/18SJE/X444/r1KlTNicCAABO4cqCVVxcrJiYGM2cOVNNmjRRmzZt9MADD2j//v3as2ePysvLNXXqVDVu3FhdunTR6NGjlZmZKUlav3694uPjFR8fr5CQEA0bNkxRUVHavHmzzakAAIBTuLJghYWFKT09XS1btqxey8/PV2RkpLKzs9W5c2cFBQVVH4uOjlZWVpYkKTs7W9HR0T77RUdHy%2BPxXJ3hAQCA4wXbPcDV4PF4tGbNGq1YsULbt29XWFiYz/FmzZrJ6/WqqqpKXq9X4eHhPsfDw8N15MiRWt9fQUGBCgsLfdaCgxsrMjLyykNcJCgo0Od3N3FzNvwoONg5j61bn49uzSWRzYncmMv1Beuzzz7T1KlTNXPmTMXFxWn79u2XvF1AQED1f1uWVa/7zMzMVEZGhs9acnKyUlJS6rXvpYSFXW98T3/h5mzXuubNm9g9Qp259fno1lwS2ZzITblcXbB2796tJ598Us8%2B%2B6yGDx8uSYqIiNDx48d9buf1etWsWTMFBgaqefPm8nq9NY5HRETU%2Bn6TkpKUkJDgsxYc3FhFRSVXFuQSgoICFRZ2vYqLz6uyssrYvv7AzdnwI5OvhYbm1uejW3NJZHOihsxl11/oXFuwPv/8c6WlpWnp0qXq169f9XpMTIzefPNNVVRUKDj4x/gej0e333579fEL78e6wOPxaMiQIbW%2B78jIyBqXAwsLz6qiwvyLobKyqkH29Qduznatc%2BLj6tbno1tzSWRzIjflcs/Fzp%2BoqKjQnDlzlJqa6lOuJCk%2BPl5NmzbVihUrdP78eX3xxRfasGGDxo0bJ0kaM2aMPvnkE%2B3Zs0dlZWXasGGDjh8/rmHDhtkRBQAAOJArz2AdPHhQubm5mjdvnubNm%2BdzbMeOHXr11Vf13HPPadWqVWrZsqVmzJih/v37S5KioqK0aNEipaenKy8vT506ddLKlSvVqlUrG5IAAAAncmXB6tWrlw4fPvyLt3nzzTd/9lhiYqISExNNjwUAAK4RrrxECAAAYCcKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMMzvClZCQoIyMjKUn59v9ygAAABXxO8K1siRI7Vt2zbde%2B%2B9euSRR7Rr1y5VVFTYPRYAAECt%2BV3BSk5O1rZt2/TWW2/plltu0fz58xUfH6%2BFCxfq2LFjdo8HAABwWX5XsC7o0qWL0tLS9P7772v27Nl66623NHjwYE2aNEn/%2Bte/7B4PAADgZ/ltwSovL9e2bdv06KOPKi0tTa1bt9bTTz%2Bt2267TRMnTtSWLVvsHhEAAOCSgu0e4GK5ubnasGGD/va3v6mkpES//e1v9Ze//EU9e/asvk3v3r31/PPPa%2BjQoTZOCgAAcGl%2BV7CGDBmijh07avLkyRo%2BfLiaNWtW4zbx8fE6c%2BaMDdMBAABcnt8VrDfeeEN9%2BvS57O2%2B%2BOKLqzANAABA3fnde7A6d%2B6sKVOm6N13361e%2B%2B///m89%2Buij8nq9Nk4GAABQO35XsNLT03X27Fl16tSpeq1///6qqqrSggULbJwMAACgdvzuEuHevXu1ZcsWNW/evHqtQ4cOWrRokX73u9/ZOBkAAEDt%2BN0ZrNLSUoWEhNRYDwwM1Pnz522YCAAAoG78rmD17t1bCxYs0HfffVe99s033%2BiFF17w%2BagGAAAAf%2BV3lwhnz56t//iP/9Bdd92lpk2bqqqqSiUlJWrXrp3%2B%2Bte/2j0eAADAZfldwWrXrp3efvttffjhh/r6668VGBiojh07ql%2B/fgoKCrJ7PAAGDHr5Y7tHqJP9Lw60ewQADuN3BUuSGjVqpHvvvdfuMQAAAK6I3xWsEydOaPHixfrqq69UWlpa4/h7771nw1QAAAC153cFa/bs2SooKFC/fv3UuHFju8cBAACoM78rWFlZWXrvvfcUERFh9ygAAABXxO8%2BpqFFixacuQIAAI7mdwVr8uTJysjIkGVZdo8CAABwRfzuEuGHH36ozz//XBs3btQNN9ygwEDfDrhu3TqbJgMAAKgdvytYTZs21b/927/Ve5%2BPPvpIaWlpio2N1ZIlS6rXN27cqNmzZ%2Bu6667zuf3atWvVrVs3VVVVaenSpdq6dauKi4vVrVs3Pf/882rXrl29ZwIAANcGvytY6enp9d7jtdde04YNG9S%2BfftLHu/du/fPfir82rVrtWXLFr322mtq3bq1lixZouTkZG3atEkBAQH1ng0AALif370HS5KOHj2qZcuW6emnn65eO3DgQK2/PiQk5BcL1i/JzMzUxIkTdfPNN6tp06aaMWOGcnNz9cUXX9R5LwAAcG3yuzNY%2B/bt06OPPqqOHTvq%2BPHjSk9P14kTJzRhwgS9/PLLGjBgwGX3mDBhwi8ez8/P18MPP6ysrCyFhYUpJSVF999/v0pLS3XkyBFFR0dX37Zp06Zq3769PB6PunfvXqsMBQUFKiws9FkLDm6syMjIWn19bQQFBfr87iZuzgbnctvz0c2vM7I5jxtz%2BV3BWrJkiZ588kk99NBD6tatm6Qf/33CBQsWaPny5bUqWL8kIiJCHTp00B//%2BEd16tRJ77zzjp566ilFRkbqpptukmVZCg8P9/ma8PBwFRUV1fo%2BMjMzlZGR4bOWnJyslJSUes1%2BKWFh1xvf01%2B4ORucx63PR7fmksjmRG7K5XcF63//93%2B1Zs0aSfJ5z9PAgQM1e/bseu/fv39/9e/fv/rPQ4YM0TvvvKONGzcqNTVVkur9ERFJSUlKSEjwWQsObqyiopJ67ftTQUGBCgu7XsXF51VZWWVsX3/g5mxwLrc9H938OiOb8zRkrubNmxjdr7b8rmCFhoaqtLRUjRo18lkvKCiosWZK27ZtlZWVpWbNmikwMFBer9fnuNfrVYsWLWq9X2RkZI3LgYWFZ1VRYf7FUFlZ1SD7%2BgM3Z4PzuPX56NZcEtmcyE25/O5i5x133KH58%2Bfr3Llz1WvHjh1TWlqa7rrrrnrv/%2Babb2rbtm0%2Ba7m5uWrXrp1CQkJ0yy23KDs7u/pYcXGxvv766%2BrLlQAAAJfjdwXr6aef1oEDBxQbG6uysjLdcccdGjx4sLxer2bNmlXv/X/44QfNnTtXHo9H5eXl2rp1qz788EONHTtWkjRu3Di98cYbys3N1blz57Ro0SLddttt6tq1a73vGwAAXBv87hJhmzZttHXrVn3wwQc6duyYfvWrX6ljx47q27dvrT%2BH6kIZqqiokCS9%2B%2B67kiSPx6MJEyaopKRETzzxhAoLC3XDDTdo%2BfLliomJkSSNHTtWhYWFevDBB1VSUqLY2Ngab1gHAAD4JQEW/%2BjfVVFYeNbofsHBgWrevImKikpcc736An/JNujlj227b/iX/S8OtP35aJq/vM4aAtmcpyFztWoVanS/2vK7M1gJCQm/eKbqvffeu4rTAAAA1J3fFazBgwf7FKzKykodO3ZMHo9HDz30kI2TAQAA1I7fFawLn0V1sZ07d%2Bof//jHVZ4GAACg7vzupwh/zr333qu3337b7jEAAAAuyzEF69ChQ/X%2BhHUAAICrwe8uEV74PKqfOn/%2BvHJzc5WYmGjDRAAAAHXjdwWrQ4cONX6KMCQkRKNGjdLo0aNtmgoAAKD2/K5gLViwwO4RAAAA6sXvCtbf/va3Wt92%2BPDhDTgJAADAlfG7gvXMM8%2BoqqqqxhvaAwICfNYCAgIoWAAAwC/5XcH605/%2BpNWrV2vKlCnq3LmzLMvS4cOH9dprr2n8%2BPGKjY21e0QAAIBf5HcFa8GCBVq1apVat25dvdarVy%2B1a9dOkyZN0tatW22cDgAA4PL87nOwjh8/rvDw8BrrYWFhysvLs2EiAACAuvG7gtW2bVstWLBARUVF1WvFxcVavHixbrzxRhsnAwAAqB2/u0Q4e/ZszZw5U5mZmWrSpIkCAwN17tw5/epXv9Ly5cvtHg8AAOCy/K5g9evXT3v27NEHH3ygU6dOybIstW7dWnfffbdCQ0PtHg8AAOCy/K5gSdL111%2BvAQMG6NSpU2rXrp3d4wAAANSJ370Hq7S0VGlpaerRo4cGDRok6cf3YD3yyCMqLi62eToAAIDL87uCtXDhQuXk5GjRokUKDPx/41VWVmrRokU2TgYAAFA7flewdu7cqVdeeUUDBw6s/kefw8LClJ6erl27dtk8HQAAwOX5XcEqKSlRhw4daqxHRETo%2B%2B%2B/v/oDAQAA1JHfFawbb7xR//jHPyTJ598e3LFjh37zm9/YNRYAAECt%2Bd1PEf7%2B97/XtGnTNHLkSFVVVen1119XVlaWdu7cqWeeecbu8QAAAC7L7wpWUlKSgoODtWbNGgUFBenVV19Vx44dtWjRIg0cONDu8QAAAC7L7wrWmTNnNHLkSI0cOdLuUQAAAK6I370Ha8CAAT7vvQIAAHAavytYsbGx2r59u91jAAAAXDG/u0T461//Wi%2B%2B%2BKJWrVqlG2%2B8Udddd53P8cWLF9s0GQAAQO34XcE6cuSIbrrpJklSUVGRzdMAAADUnd8UrBkzZmjJkiX661//Wr22fPlyJScn2zgVAABA3fnNe7B2795dY23VqlU2TAIAAFA/flOwLvWTg/w0IQAAcCK/KVgX/mHny60BAAD4O78pWAAAAG5BwQIAADDMb36KsLy8XDNnzrzsGp%2BDBQAA/J3fFKyePXuqoKDgsmsAAAD%2Bzm8K1k8//woAAMDJeA8WAACAYRQsAAAAw/zmEiEA%2BKtez%2Bywe4Q62T69r90jANc8zmABAAAYRsECAAAwjIIFAABgmGsL1kcffaS4uDjNmDGjxrFt27Zp6NCh6tGjh0aMGKG9e/dWH6uqqtKSJUs0YMAA9e7dW5MmTdKJEyeu5ugAAMDhXFmwXnvtNc2bN0/t27evcSwnJ0dpaWlKTU3V3//%2Bd02cOFGPP/64Tp06JUlau3attmzZolWrVun9999Xhw4dlJycLMuyrnYMAADgUK4sWCEhIdqwYcMlC9b69esVHx%2Bv%2BPh4hYSEaNiwYYqKitLmzZslSZmZmZo4caJuvvlmNW3aVDNmzFBubq6%2B%2BOKLqx0DAAA4lCsL1oQJExQaGnrJY9nZ2YqOjvZZi46OlsfjUWlpqY4cOeJzvGnTpmrfvr08Hk%2BDzgwAANzjmvscLK/Xq/DwcJ%2B18PBwHTlyRN99950sy7rk8aKiolrfR0FBgQoLC33WgoMbKzIy8soHv0hQUKDP727i5mzA1RAcfPnXjptfZ2RzHjfmuuYKlqTLvp%2Bqvu%2B3yszMVEZGhs9acnKyUlJS6rXvpYSFXW98T3/h5mxAQ2revEmtb%2Bvm1xnZnMdNua65gtW8eXN5vV6fNa/Xq4iICDVr1kyBgYGXPN6iRYta30dSUpISEhJ81oKDG6uoqOTKB79IUFCgwsKuV3HxeVVWVhnb1x%2B4ORtwNdTme42bX2dkc56GzFWXv3CYdM0VrJiYGGVlZfmseTweDRkyRCEhIbrllluUnZ2tPn36SJKKi4v19ddfq1u3brW%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%2B%2Byz2rdvnxYvXqyjR4/q17/%2BtSZPnqxhw4bZOC0AAHCaa7JgSdKOHTt0ww03%2BKwVFBToD3/4g5555hkNHTpUn332maZOnaqOHTuqa9euNk0KAACchkuEP7FlyxZ16NBBo0aNUkhIiOLi4pSQkKD169fbPRoAAHCQa/YM1uLFi3XgwAGdO3dOgwYN0qxZs5Sdna3o6Gif20VHR2v79u112rugoECFhYU%2Ba8HBjRUZGVnvuS8ICqIbA3C%2B4GDz38sufH904/dJt2ZzY65rsmB1795dcXFxeumll3TixAlNnz5dL7zwgrxer1q3bu1z22bNmqmoqKhO%2B2dmZiojI8NnLTk5WSkpKfWeHQDcpHnzJg22d1jY9Q22t93cms1Nua7JgpWZmVn93zfffLNSU1M1depU9ezZ08j%2BSUlJSkhI8FkLDm6soqISI/tLP7Z8Nz0RAVybTH5fvODC98fi4vOqrKwyvr%2Bd3JqtIXM1ZIn/JddkwbrYDTfcoMrKSgUGBsrr9focKyoqUkRERJ32i4yMrHE5sLDwrCoq3PNiAAATGvL7YmVllWu/77o1m5tyuediZy0dOnRICxYs8FnLzc1Vo0aNFB8fr6ysLJ9jWVlZuv3226/miAAAwOGuuYLVokULZWZmatWqVfrhhx907NgxLV26VElJSbr//vuVl5en9evXq6ysTB988IE%2B%2BOADjRkzxu6xAQCAg1xzBat169ZatWqVdu/erdjYWI0dO1Z33323nnzySbVo0UIrV67UmjVr1LNnT82fP18LFy7UrbfeavfYAADAQa7J92D17t1b69at%2B9ljmzZtusoTAQAAN7nmzmABAAA0NAoWAACAYRQsAAAAw67J92ABAPzDoJc/tnuEOtk%2Bva/dI8AhOIMFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwLBguwcAAMApBr38sd0j1Mn26X3tHuGaxRksAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgF6xLy8vL02GOPKTY2Vvfcc48WLlyoqqoqu8cCAAAOwedgXcK0adPUpUsXvfvuuzp9%2BrQmT56sli1b6uGHH7Z7NAAAas1Jn9u1/8WBdo9gFGewLuLxePTll18qNTVVoaGh6tChgyZOnKjMzEy7RwMAAA7BGayLZGdnq23btgoPD69e69Kli44dO6Zz586padOml92joKBAhYWFPmvBwY0VGRlpbM6gILoxAMBd3PT/bRSsi3i9XoWFhfmsXShbRUVFtSpYmZmZysjI8Fl7/PHHNW3aNGNzFhQU6C9/%2BZO2PZFktLj5g4KCAmVmZiopyV3Z3JpLIpsTuTWXRDYnKigo0LJly1yVyz1V0SDLsur19UlJSdq4caPPr6SkJEPT/aiwsFAZGRk1zpS5gVuzuTWXRDYncmsuiWxO5MZcnMG6SEREhLxer8%2Ba1%2BtVQECAIiIiarVHZGSkaxo4AACoO85gXSQmJkb5%2Bfk6c%2BZM9ZrH41GnTp3UpEkTGycDAABOQcG6SHR0tLp27arFixfr3Llzys3N1euvv65x48bZPRoAAHCIoOeff/55u4fwN3fffbe2bt2quXPn6u2339aoUaM0adIkBQQE2D2ajyZNmqhPnz6uPLPm1mxuzSWRzYncmksimxO5LVeAVd93dAMAAMAHlwgBAAAMo2ABAAAYRsECAAAwjLLnw7cAAAn7SURBVIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgOVBeXp4ee%2BwxxcbG6p577tHChQtVVVVl91hX5KOPPlJcXJxmzJhR49i2bds0dOhQ9ejRQyNGjNDevXttmPDK5OXlKTk5WbGxsYqLi9OsWbNUXFwsScrJydH48ePVs2dPJSYmavXq1TZPWzdffvmlHnroIfXs2VNxcXGaPn26CgsLJUn79u3TqFGjdMcdd2jIkCHavHmzzdNemfnz56tz587Vf3Z6rs6dOysmJkZdu3at/jV37lxJzs8mSStWrFC/fv3UvXt3TZw4USdPnpTk7Gz//Oc/fR6vrl27KiYmpvp56eRshw4d0oQJE9SrVy/17dtXqampOnPmjCRn56rBguM88MAD1pw5c6zi4mLr2LFjVmJiorV69Wq7x6qzVatWWYmJidbYsWOt6dOn%2Bxw7dOiQFRMTY%2B3Zs8cqLS21Nm3aZN1%2B%2B%2B1Wfn6%2BTdPWze9%2B9ztr1qxZ1rlz56z8/HxrxIgR1uzZs63z589bd999t7Vs2TKrpKTEysrKsvr06WPt3LnT7pFrpayszLrrrrusjIwMq6yszDp9%2BrQ1fvx46w9/%2BIP1zTffWN27d7fWr19vlZaWWh9//LHVrVs361//%2BpfdY9fJoUOHrD59%2BlhRUVGWZVmuyBUVFWWdOHGixrobsq1Zs8YaOHCglZuba509e9aaO3euNXfuXFdku9iKFSusJ554wtHZysvLrb59%2B1qLFy%2B2ysrKrDNnzlgPP/ywNW3aNEfnuhTOYDmMx%2BPRl19%2BqdTUVIWGhqpDhw6aOHGiMjMz7R6tzkJCQrRhwwa1b9%2B%2BxrH169crPj5e8fHxCgkJ0bBhwxQVFeWIv80UFxcrJiZGM2fOVJMmTdSmTRs98MAD2r9/v/bs2aPy8nJNnTpVjRs3VpcuXTR69GjHPH7nz5/XjBkzNHnyZDVq1EgRERG677779NVXX2nLli3q0KGDRo0apZCQEMXFxSkhIUHr16%2B3e%2Bxaq6qq0nPPPaeJEydWr7kh189xQ7bVq1drxowZuummm9S0aVPNmTNHc%2BbMcUW2n/q///s/vf7663rqqaccna2wsFCFhYW6//771ahRIzVv3lz33XefcnJyHJ3rUihYDpOdna22bdsqPDy8eq1Lly46duyYzp07Z%2BNkdTdhwgSFhoZe8lh2draio6N91qKjo%2BXxeK7GaPUSFham9PR0tWzZsnotPz9fkZGRys7OVufOnRUUFFR9LDo6WllZWXaMWmfh4eEaPXq0goODJUlHjx7V//zP/2jQoEE/%2B5g5JZskrVu3TiEhIRo6dGj1mhtySdLixYvVv39/9erVS88%2B%2B6xKSkocn%2B2bb77RyZMn9d1332nw4MGKjY1VSkqKzpw54/hsF1u6dKlGjhyp3/zmN47O1rp1a912223KzMxUSUmJTp8%2BrV27dql///6OznUpFCyH8Xq9CgsL81m7ULaKiorsGKlBeL1enxIp/ZjTiRk9Ho/WrFmjqVOnXvLxa9asmbxer6PeR5eXl6eYmBgNHjxYXbt2VUpKys9mc8pj9u2332rZsmV67rnnfNadnkuSunfvrri4OO3atUuZmZk6ePCgXnjhBcdnO3XqlCRpx44dev3117Vp0yadOnVKc%2BbMcXy2nzp58qR27dqlhx9%2BWJKzn5OBgYFatmyZ3nvvPd1xxx2Ki4tTRUWFZs6c6ehcl0LBciDLsuwe4apwQ87PPvtMkyZN0syZMxUXF/eztwsICLiKU9Vf27Zt5fF4tGPHDh0/flxPPfWU3SPVW3p6ukaMGKFOnTrZPYpxmZmZGj16tBo1aqSbb75Zqamp2rp1q8rLy%2B0erV4ufI945JFH1Lp1a7Vp00bTpk3T7t27bZ7MrLVr1yoxMVGtWrWye5R6%2B%2BGHHzRlyhQNHDhQ%2B/fv14cffqjQ0FClpqbaPZpxFCyHiYiIkNfr9Vnzer0KCAhQRESETVOZ17x580vmdFLG3bt367HHHtPs2bM1YcIEST8%2Bfhf/bczr9apZs2YKDHTWyzEgIEAdOnTQjBkztHXrVgUHB9d4zIqKihzxmO3bt08HDhxQcnJyjWOXei46JdfPueGGG1RZWanAwEBHZ7twGf6nZz3atm0ry7JUXl7u6Gw/tXPnTiUkJFT/2cnPyX379unkyZP64x//qNDQULVu3VopKSl65513HP98vJizvqNDMTExys/Pr/6RVunHS1CdOnVSkyZNbJzMrJiYmBrX3T0ej26//XabJqqbzz//XGlpaVq6dKmGDx9evR4TE6PDhw%2BroqKies1Jufbt26ff/va3PpczLxTDbt261XjMsrKyHJFt8%2BbNOn36tO655x7FxsZqxIgRkqTY2FhFRUU5Npf044/EL1iwwGctNzdXjRo1Unx8vKOztWnTRk2bNlVOTk71Wl5enq677jrHZ7sgJydHeXl56tu3b/Va165dHZutsrJSVVVVPlcofvjhB0lSXFycY3Ndkq0/w4grMnr0aGv27NnW2bNnrSNHjlgJCQnWmjVr7B7riqWlpdX4mIbDhw9bXbt2td5//32rtLTUWr9%2BvdWjRw%2BroKDApilrr7y83Bo0aJC1bt26GsfKysqse%2B65x3rllVes77//3jp48KDVq1cv6/3337/6g16B4uJiKy4uzlqwYIH1/fffW6dPn7YmTZpk/f73v7e%2B/fZbq0ePHtZbb71llZaWWnv27LG6detm5eTk2D32ZXm9Xis/P7/614EDB6yoqCgrPz/fysvLc2wuy7KsU6dOWd27d7dWrlxplZWVWUePHrUGDx5szZ0719GP2QXz58%2B3BgwYYB0/ftz69ttvraSkJGvWrFmuyGZZlrVhwwarT58%2BPmtOznbmzBmrT58%2B1n/9139Z33//vXXmzBlrypQp1r//%2B787OtelULAcKD8/33rkkUesbt26WXFxcdYrr7xiVVVV2T1WncXExFgxMTHWrbfeat16663Vf75g586dVmJiotWlSxfr/vvvtz799FMbp629f/7zn1ZUVFR1np/%2BOnnypHX48GFr7NixVkxMjNW/f39r7dq1do9cJ19%2B%2BaU1fvx4q1u3btadd95pTZ8%2B3Tp16pRlWZb16aefWsOGDbO6dOliJSYmOubzvS524sSJ6s/Bsizn5/r000%2BtpKQkq3v37lafPn2s9PR0q7S0tPqYk7OVlZVZzz//vNW7d2%2Bre/fuVlpamnXu3DnLspyfzbIs69VXX7WGDBlSY93J2TwejzV%2B/HirV69eVlxcnCu/h1iWZQVYlgveSQwAAOBHeA8WAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABj2/wF9J5VNDmz0MgAAAABJRU5ErkJggg%3D%3D"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common-1656804652042099831">
<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">24.0</td>
<td class="number">47</td>
<td class="number">3.6%</td>
<td>
<div class="bar" style="width:7%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">22.0</td>
<td class="number">43</td>
<td class="number">3.3%</td>
<td>
<div class="bar" style="width:7%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">21.0</td>
<td class="number">41</td>
<td class="number">3.1%</td>
<td>
<div class="bar" style="width:6%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">30.0</td>
<td class="number">40</td>
<td class="number">3.1%</td>
<td>
<div class="bar" style="width:6%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">18.0</td>
<td class="number">39</td>
<td class="number">3.0%</td>
<td>
<div class="bar" style="width:6%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">25.0</td>
<td class="number">34</td>
<td class="number">2.6%</td>
<td>
<div class="bar" style="width:5%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">28.0</td>
<td class="number">32</td>
<td class="number">2.4%</td>
<td>
<div class="bar" style="width:5%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">36.0</td>
<td class="number">31</td>
<td class="number">2.4%</td>
<td>
<div class="bar" style="width:5%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">26.0</td>
<td class="number">30</td>
<td class="number">2.3%</td>
<td>
<div class="bar" style="width:5%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">29.0</td>
<td class="number">30</td>
<td class="number">2.3%</td>
<td>
<div class="bar" style="width:5%"> </div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (88)</td>
<td class="number">679</td>
<td class="number">51.9%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">263</td>
<td class="number">20.1%</td>
<td>
<div class="bar" style="width:39%"> </div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme-1656804652042099831">
<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">0.17</td>
<td class="number">1</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:34%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">0.33</td>
<td class="number">1</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:34%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">0.42</td>
<td class="number">1</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:34%"> </div>
</td>