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pandas profiling for unerathed hydrosaver
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pandas_profiling_hydrosaver.html
<!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()
})
</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;
}
/* 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 tr:hover{
text-decoration: underline;
}
.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;
}
</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>24 </td>
</tr>
<tr>
<th>Number of observations</th>
<td>570300 </td>
</tr>
<tr>
<th>Total Missing (%)</th>
<td>0.2% </td>
</tr>
<tr>
<th>Total size in memory</th>
<td>104.4 MiB </td>
</tr>
<tr>
<th>Average record size in memory</th>
<td>192.0 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>19 </td>
</tr>
<tr>
<th>Categorical</th>
<td>0 </td>
</tr>
<tr>
<th>Date</th>
<td>1 </td>
</tr>
<tr>
<th>Text (Unique)</th>
<td>0 </td>
</tr>
<tr>
<th>Rejected</th>
<td>4 </td>
</tr>
</tbody>
</table>
</div>
<div class="col-md-12" style="padding-left: 1em;">
<p class="h4">Warnings</p>
<ul class="list-unstyled"><li><code>FX87211.CPV1</code> is highly correlated with <code>WQI8100XCL1.CPV</code> (ρ = 0.99148) <span class="label label-primary">Rejected</span></l><li><code>MQI88024.CPV</code> is highly correlated with <code>FIC88022.PV</code> (ρ = 0.94918) <span class="label label-primary">Rejected</span></l><li><code>SI88033.PV</code> has 15981 / 2.8% zeros</l><li><code>SI88034.PV</code> has 37516 / 6.6% zeros</l><li><code>XI84123.PV</code> has 66319 / 11.6% zeros</l><li><code>XI84124.PV</code> is highly correlated with <code>XI84123.PV</code> (ρ = 0.90831) <span class="label label-primary">Rejected</span></l><li><code>XI84125.PV</code> is highly correlated with <code>XI84124.PV</code> (ρ = 0.90735) <span class="label label-primary">Rejected</span></l><li><code>XI84201.PV</code> has 9915 / 1.7% zeros</l><li><code>XI84202.PV</code> has 9913 / 1.7% zeros</l> </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">AIC88049.PV<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>370810</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>65.2%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.2%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1308</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>8.9555</td>
</tr>
<tr>
<th>Minimum</th>
<td>-0.074921</td>
</tr>
<tr>
<th>Maximum</th>
<td>12.41</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="minihistogram3601575618562650661">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAARJJREFUeJzt3csJwkAARVEjlmQR6cm1PVlEehobkEsU8kHO2Qfe5jJhNjONMcYF%2BOh69AA4s9vRA9jf/fH6%2BpvlOW%2Bw5PycIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgELyT/gd%2BefecdZwgEAQCQSAQBAJBIBDcYrHKLzdly3PeYMm%2BpjHGOHoEnJVfLAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAhvKyUP%2BnrToFkAAAAASUVORK5CYII%3D">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives3601575618562650661,#minihistogram3601575618562650661"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives3601575618562650661">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles3601575618562650661"
aria-controls="quantiles3601575618562650661" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram3601575618562650661" aria-controls="histogram3601575618562650661"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common3601575618562650661" aria-controls="common3601575618562650661"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme3601575618562650661" aria-controls="extreme3601575618562650661"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles3601575618562650661">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>-0.074921</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>7.9741</td>
</tr>
<tr>
<th>Q1</th>
<td>8.9143</td>
</tr>
<tr>
<th>Median</th>
<td>8.9998</td>
</tr>
<tr>
<th>Q3</th>
<td>9.0944</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>9.492</td>
</tr>
<tr>
<th>Maximum</th>
<td>12.41</td>
</tr>
<tr>
<th>Range</th>
<td>12.485</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>0.18008</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>0.4662</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.052057</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>57.958</td>
</tr>
<tr>
<th>Mean</th>
<td>8.9555</td>
</tr>
<tr>
<th>MAD</th>
<td>0.24841</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>-2.7521</td>
</tr>
<tr>
<th>Sum</th>
<td>5095600</td>
</tr>
<tr>
<th>Variance</th>
<td>0.21734</td>
</tr>
<tr>
<th>Memory size</th>
<td>4.4 MiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram3601575618562650661">
<img 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QAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYa0KWBMmTNCmTZt0/Phx0/UAAAB0eK0KWAMHDtSzzz6rwYMH6%2BGHH9aePXvkcrkueJ0vvvhC99xzj%2BLi4nT99ddrzZo17rnS0lLdddddio2N1U033aQ9e/Z4PPfdd9/VqFGjFBMTo6SkJJWWlnrMv/DCCxoyZIji4uI0e/Zs1dTUuOfq6uo0e/ZsJSQkaPDgwVq7dq3Hc5vbGwAA4HxaFbAeeeQRvfXWW1q5cqX8/Pw0ffp0XX/99Xr66af1%2Beeft2iNxsZGTZ06VaGhoXrllVc0b948rVq1Sq%2B%2B%2BqpcLpeSk5MVFhamLVu2aPTo0UpJSdGRI0ckSUeOHFFycrLGjh2rzZs3q0uXLnrwwQfdIW/nzp3Kzs7W/PnztW7dOhUWFiorK8u9d2Zmpg4cOKB169Zp7ty5ys7O1o4dOySp2b0BAACaY2vtE318fDRo0CANGjRINTU12rBhg1auXKmcnBxdc801mjx5sm688cZzPr%2BiokL9%2BvVTRkaGOnXqpN69e%2Bu6665Tfn6%2BwsLCVFpaqk2bNikoKEh9%2BvTR3r17tWXLFk2fPl15eXm66qqrNGXKFEnS4sWLNWjQIL3//vsaMGCA1q9fr8mTJ2vo0KGSpHnz5umee%2B7RzJkz5XK5lJeXp9WrVysqKkpRUVEqKSnRxo0bNWLECL333nvn3RsAAKA5P%2Bki9/Lycq1Zs0YTJ07U0qVL1b9/f82fP18DBw7U448/rkWLFp3zuREREVq2bJk6deokl8ul/Px8ffDBB0pMTFRhYaH69%2B%2BvoKAg9%2BPj4%2BNVUFAgSSosLFRCQoJ7zm63KyoqSgUFBWpoaNDHH3/sMR8bG6tTp06puLhYxcXFqq%2BvV1xcnMfahYWFamxsbHZvAACA5rTqDNa2bdu0bds27du3T126dNGYMWO0fPly9e7d2/2Ybt26adGiRUpPT292vWHDhunIkSMaOnSohg8frieeeEIREREej%2BnatavKysokSQ6H45zz1dXVqqur85i32Wzq3LmzysrK5Ovrq9DQUPn7%2B7vnw8LCVFdXp6qqqvOuDQAA0BKtCljp6ekaOnSoVqxYod/97nfy9T37RNhvf/tb/eEPf2jResuXL1dFRYUyMjK0ePFi1dTUeAQgSfL395fT6ZSk887X1ta6j63mXS6X5ZwkOZ3OZvduifLycjkcDo8xmy3orOBmip%2Bfr8d3NKEv1uiLNfpijb54stk8%2B0FfPNGXH7QqYP39739XaGioqqqq3OGqqKhIUVFR8vPzkyRdc801uuaaa1q0XnR0tKSmd/fNmDFD48aN83jXn9QUfgIDAyVJAQEBZwUep9OpkJAQBQQEuI/PnLfb7WpoaLCck6TAwEAFBASoqqrqnHu3RG5urrKzsz3GkpOTlZqa2uI1WiMkxN6m63dU9MUafbFGX6zRlyahocEex/TFGn1pZcA6ceKEJk2apP/8z//UrFmzJElTp05VWFiYVq9erW7dujW7RkVFhQoKCnTDDTe4xy6//HKdOnVK4eHhOnz48FmPP30GKDIyUhUVFWfN9%2BvXT507d1ZAQIAqKirUp08fSVJ9fb2qqqoUHh4ul8ulyspK1dfXy2Zr%2BuM7HA4FBgYqJCREkZGROnTo0Dn3bomJEydq2LBhHmM2W5AqK79v8RoXws/PVyEhdlVX16ihobFN9uiI6Is1%2BmKNvlijL55O/x6nL9baY1/ODMU/l1YFrCeeeEK9evXS3Xff7R57/fXX9eijj2rx4sVavnx5s2t89dVXSklJ0e7duxUZGSlJOnDggLp06aL4%2BHitXbtWtbW17jNH%2Bfn5io%2BPlyTFxMQoPz/fvVZNTY0OHjyolJQU%2Bfr6Kjo6Wvn5%2BRowYIAkqaCgQDabTX379m36Q9tsKigocF8In5%2Bfr%2BjoaPn6%2BiomJkY5OTnn3LslIiIizgpkDsdx1de37Q9bQ0Njm%2B/REdEXa/TFGn2xRl%2BanNkD%2BmKNvrTyXYQffvihHnvsMYWHh7vHunTpolmzZum9995r0RrR0dGKiorS7NmzdejQIe3evVtZWVm6//77lZiYqG7duiktLU0lJSXKyclRUVGRxo8fL0kaN26c9u/fr5ycHJWUlCgtLU09e/Z0B6rbb79dzz33nHbt2qWioiJlZGTo1ltvld1ul91u15gxY5SRkaGioiLt2rVLa9euVVJSkiQ1uzcAAEBzWhWwbDabqqurzxqvqalp8R3d/fz8tHLlStntdk2cOFHp6em68847lZSU5J5zOBwaO3as/vrXv2rFihXq3r27JKlnz5565plntGXLFo0fP15VVVVasWKFfHx8JEk333yzpk2bpjlz5mjKlCm6%2BuqrNXPmTPfeaWlpioqK0uTJkzVv3jxNnz7dfc%2Bu5vYGAABojo%2BrFZ9xM2vWLB0%2BfFhLly7Vv/3bv0lq%2BniZWbNmqVu3blq6dKnxQjs6h6PtPrfRZvNVaGiwKiu/v%2BhPyf4YfbFGX6zRF2tt3ZeRy94xvmZbeuOhQZL4eTmX9tiX8PBLvbJvq67BevTRR3X33Xdr%2BPDhCgkJkSRVV1crKipKaWlpRgsEAADoaFoVsLp27apXXnlF7777rkpKSmSz2XT55Zfruuuuc79MBwAAcLFq9WcR%2Bvn5aciQIRoyZIjJegAAADq8VgUsh8OhZcuWaf/%2B/Tp16tRZF7a/%2BeabRooDAADoiFoVsP73f/9XBw4c0M0336xLL/XOxWMAAADtVasC1nvvvac1a9a4b9QJAACAH7TqPlhBQUHq2rWr6VoAAAB%2BEVoVsEaPHq01a9aooaHBdD0AAAAdXqteIqyqqtL27dv19ttv67LLLpO/v7/H/Pr1640UBwAA0BG1%2BjYNo0aNMlkHAADAL0arAtbixYtN1wEAAPCL0aprsCSpvLxc2dnZeuSRR/TNN99ox44dOnz4sMnaAAAAOqRWBawvvvhC//Vf/6VXXnlFO3fu1MmTJ/X6669r3LhxKiwsNF0jAABAh9KqgPXHP/5RN9xwg3bt2qVLLrlEkrR06VINGzZMS5YsMVogAABAR9OqgLV//37dfffdHh/sbLPZ9OCDD%2BrgwYPGigMAAOiIWhWwGhsb1djYeNb4999/Lz8/v59cFAAAQEfWqoA1ePBg/elPf/IIWVVVVcrKytLAgQONFQcAANARtSpgPfbYYzpw4IAGDx6suro6PfDAAxo6dKi%2B%2BuorPfroo6ZrBAAA6FBadR%2BsyMhI/eUvf9H27dv1ySefqLGxUZMmTdLo0aPVqVMn0zUCAAB0KK2%2Bk7vdbteECRNM1gIAAPCL0KqAlZSUdN55PosQAABczFoVsHr06OFxXF9fry%2B%2B%2BEL//Oc/NXnyZCOFAQAAdFRGP4twxYoVKisr%2B0kFAQAAdHSt/ixCK6NHj9Ybb7xhckkAAIAOx2jA%2Buijj7jRKAAAuOgZu8j9xIkT%2BvTTT3X77bf/5KIAAAA6slYFrO7du3t8DqEkXXLJJfrDH/6gW265xUhhAAAAHVWrAtYf//hH03UAAAD8YrQqYH3wwQctfuy1117bmi0AAAA6rFYFrDvvvNP9EqHL5XKPnznm4%2BOjTz755KfWCAAA0KG0KmA9%2B%2ByzWrhwoWbOnKnExET5%2B/vr448/1vz58/Xf//3fuummm0zXCQAA0GG06jYNixcv1pw5czR8%2BHCFhoYqODhYAwcO1Pz58/Xyyy%2BrR48e7i8AAICLTasCVnl5uWV46tSpkyorK39yUQAAAB1ZqwJWbGysli5dqhMnTrjHqqqqlJWVpeuuu85YcQAAAB1Rq67Bevzxx5WUlKTf/e536t27t1wul/71r38pPDxc69evN10jAABAh9KqgNWnTx%2B9/vrr2r59uz777DNJ0h133KGbb75ZdrvdaIEAAAAdTasCliT96le/0oQJE/TVV1/psssuk9R0N3cAAICLXauuwXK5XFqyZImuvfZajRo1SmVlZXr00UeVnp6uU6dOma4RAACgQ2lVwNqwYYO2bdumuXPnyt/fX5J0ww03aNeuXcrOzjZaIAAAQEfTqoCVm5urOXPmaOzYse67t990001auHChXn31VaMFAgAAdDStClhfffWV%2BvXrd9Z437595XA4fnJRAAAAHVmrAlaPHj308ccfnzX%2B97//3X3BOwAAwMWqVe8ivOeeezRv3jw5HA65XC7t3btXubm52rBhgx577DHTNQIAAHQorQpY48aNU319vVatWqXa2lrNmTNHXbp00UMPPaRJkyaZrhEAAKBDaVXA2r59u0aMGKGJEyfq22%2B/lcvlUteuXU3XBgAA0CG16hqs%2BfPnuy9m79KlC%2BEKAADgR1oVsHr37q1//vOfpmsBAAD4RWjVS4R9%2B/bVjBkztGbNGvXu3VsBAQEe84sXLzZSHAAAQEfUqoD1%2BeefKz4%2BXpK47xUAAMAZWhywMjMzlZKSoqCgIG3YsKEtawIAAOjQWnwN1vPPP6%2BamhqPsalTp6q8vLxVGx87dkypqalKTEzUkCFDtHjxYtXV1UmSSktLdddddyk2NlY33XST9uzZ4/Hcd999V6NGjVJMTIySkpJUWlrqMf/CCy9oyJAhiouL0%2BzZsz3qrqur0%2BzZs5WQkKDBgwdr7dq1Hs9tbm8AAIDmtDhguVyus8Y%2B%2BOADdyi6EC6XS6mpqaqpqdHGjRv19NNP66233tKyZcvkcrmUnJyssLAwbdmyRaNHj1ZKSoqOHDkiSTpy5IiSk5M1duxYbd68WV26dNGDDz7orm/nzp3Kzs7W/PnztW7dOhUWFiorK8u9d2Zmpg4cOKB169Zp7ty5ys7O1o4dO9x1nW9vAACAlmjVNVg/1eHDh1VQUKB33nlHYWFhkqTU1FQ9%2BeST%2Bt3vfqfS0lJt2rRJQUFB6tOnj/bu3astW7Zo%2BvTpysvL01VXXaUpU6ZIarqgftCgQXr//fc1YMAArV%2B/XpMnT9bQoUMlSfPmzdM999yjmTNnyuVyKS8vT6tXr1ZUVJSioqJUUlKijRs3asSIEXrvvffOuzcAAEBLtOo2DT9VeHi41qxZ4w5Xp504cUKFhYXq37%2B/goKC3OPx8fEqKCiQJBUWFiohIcE9Z7fbFRUVpYKCAjU0NOjjjz/2mI%2BNjdWpU6dUXFys4uJi1dfXKy4uzmPtwsJCNTY2Nrs3AABAS1zQGSwfHx8jm4aEhGjIkCHu48bGRr344osaOHCgHA6HIiIiPB7ftWtXlZWVSdJ556urq1VXV%2Bcxb7PZ1LlzZ5WVlcnX11ehoaHy9/d3z4eFhamurk5VVVXN7g0AANASFxSwFi5c6HHPq1OnTikrK0vBwcEej7vQ%2B2BlZWXp4MGD2rx5s1544QWPACRJ/v7%2BcjqdkqSamppzztfW1rqPreZdLpflnCQ5nc7zrn0hysvLz7p9hc0WdFZ4M8XPz9fjO5rQF2v0xRp9sUZfPNlsnv2gL57oyw9aHLCuvfbas0JDXFycKisrVVlZ2eoCsrKytG7dOj399NO64oorFBAQoKqqKo/HOJ1OBQYGSpICAgLOCjxOp1MhISHu8Gc1b7fb1dDQYDknSYGBgc3u3VK5ubnKzs72GEtOTlZqauoFrXOhQkLsbbp%2BR0VfrNEXa/TFGn1pEhrqeUKBvlijLxcQsNri3lcLFizQyy%2B/rKysLA0fPlySFBkZqUOHDnk8rqKiwn32JzIyUhUVFWfN9%2BvXT507d1ZAQIAqKirUp08fSVJ9fb2qqqoUHh4ul8ulyspK1dfXy2Zr%2BqM7HA4FBgYqJCSk2b1bauLEiRo2bJjHmM0WpMrK7y9onZby8/NVSIhd1dU1amhobJM9OiL6Yo2%2BWKMv1uiLp9O/x%2BmLtfbYlzND8c/FK%2B8ilKTs7Gxt2rRJS5cu1YgRI9zjMTExysnJUW1trfvMUX5%2BvvvO8TExMcrPz3c/vqZRBwA0AAATP0lEQVSmRgcPHlRKSop8fX0VHR2t/Px8DRgwQJJUUFAgm82mvn37Smq6JqugoMB9IXx%2Bfr6io6Pl6%2Bvb7N4tFRERcVYocziOq76%2BbX/YGhoa23yPjoi%2BWKMv1uiLNfrS5Mwe0Bdr9MVL7yL87LPPtHLlSt13332Kj4%2BXw%2BFwfyUmJqpbt25KS0tTSUmJcnJyVFRUpPHjx0uSxo0bp/379ysnJ0clJSVKS0tTz5493YHq9ttv13PPPaddu3apqKhIGRkZuvXWW2W322W32zVmzBhlZGSoqKhIu3bt0tq1a5WUlCRJze4NAADQEl45g/Xmm2%2BqoaFBq1at0qpVqzzmPv30U61cuVLp6ekaO3asevXqpRUrVqh79%2B6SpJ49e%2BqZZ57RE088oRUrViguLk4rVqxwv8Px5ptv1tdff605c%2BbI6XTqxhtv1MyZM93rp6WlKSMjQ5MnT1anTp00ffp03XjjjZIkPz%2B/8%2B4NAADQEj4uq1u0wziH43ibrW2z%2BSo0NFiVld9f9Kdkf4y%2BWKMv1uiLtbbuy8hl7xhfsy298dAgSfy8nEt77Et4%2BKVe2Zf3UQIAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADDM6wHL6XRq1KhR2rdvn3ustLRUd911l2JjY3XTTTdpz549Hs959913NWrUKMXExCgpKUmlpaUe8y%2B88IKGDBmiuLg4zZ49WzU1Ne65uro6zZ49WwkJCRo8eLDWrl3r8dzm9gYAAGiOVwNWXV2dHn74YZWUlLjHXC6XkpOTFRYWpi1btmj06NFKSUnRkSNHJElHjhxRcnKyxo4dq82bN6tLly568MEH5XK5JEk7d%2B5Udna25s%2Bfr3Xr1qmwsFBZWVnu9TMzM3XgwAGtW7dOc%2BfOVXZ2tnbs2NGivQEAAFrCawHr0KFDuvXWW/Xll196jL/33nsqLS3V/Pnz1adPH02bNk2xsbHasmWLJCkvL09XXXWVpkyZon//93/X4sWL9fXXX%2Bv999%2BXJK1fv16TJ0/W0KFDdfXVV2vevHnasmWLampqdPLkSeXl5Sk9PV1RUVH6/e9/r3vvvVcbN25s0d4AAAAt4bWA9f7772vAgAHKzc31GC8sLFT//v0VFBTkHouPj1dBQYF7PiEhwT1nt9sVFRWlgoICNTQ06OOPP/aYj42N1alTp1RcXKzi4mLV19crLi7OY%2B3CwkI1NjY2uzcAAEBL2Ly18e2332457nA4FBER4THWtWtXlZWVNTtfXV2turo6j3mbzabOnTurrKxMvr6%2BCg0Nlb%2B/v3s%2BLCxMdXV1qqqqanZvAACAlvBawDqXmpoajwAkSf7%2B/nI6nc3O19bWuo%2Bt5l0ul%2BWc1HSxfXN7t1R5ebkcDofHmM0WdFZ4M8XPz9fjO5rQF2v0xRp9sUZfPNlsnv2gL57oyw/aXcAKCAhQVVWVx5jT6VRgYKB7/szA43Q6FRISooCAAPfxmfN2u10NDQ2Wc5IUGBjY7N4tlZubq%2BzsbI%2Bx5ORkpaamXtA6FyokxN6m63dU9MUafbFGX6zRlyahocEex/TFGn1phwErMjJShw4d8hirqKhwn/2JjIxURUXFWfP9%2BvVT586dFRAQoIqKCvXp00eSVF9fr6qqKoWHh8vlcqmyslL19fWy2Zr%2B6A6HQ4GBgQoJCWl275aaOHGihg0b5jFmswWpsvL7C1qnpfz8fBUSYld1dY0aGhrbZI%2BOiL5Yoy/W6Is1%2BuLp9O9x%2BmKtPfblzFD8c2l3ASsmJkY5OTmqra11nznKz89XfHy8ez4/P9/9%2BJqaGh08eFApKSny9fVVdHS08vPzNWDAAElSQUGBbDab%2BvbtK6npmqyCggL3hfD5%2BfmKjo6Wr69vs3u3VERExFmhzOE4rvr6tv1ha2hobPM9OiL6Yo2%2BWKMv1uhLkzN7QF%2Bs0Zd2cKPRMyUmJqpbt25KS0tTSUmJcnJyVFRUpPHjx0uSxo0bp/379ysnJ0clJSVKS0tTz5493YHq9ttv13PPPaddu3apqKhIGRkZuvXWW2W322W32zVmzBhlZGSoqKhIu3bt0tq1a5WUlNSivQEAAFqi3QUsPz8/rVy5Ug6HQ2PHjtVf//pXrVixQt27d5ck9ezZU88884y2bNmi8ePHq6qqSitWrJCPj48k6eabb9a0adM0Z84cTZkyRVdffbVmzpzpXj8tLU1RUVGaPHmy5s2bp%2BnTp%2BvGG29s0d4AAAAt4eM6fQt0tCmH43ibrW2z%2BSo0NFiVld9f9Kdkf4y%2BWKMv1uiLtbbuy8hl7xhfsy298dAgSfy8nEt77Et4%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%2B7dNWLECG%2BXBgAAOgAC1hlOnjypvLw8rV69WlFRUYqKilJJSYk2btxIwAKAi9zIZe94u4QL8sZDg7xdwkWLlwjPUFxcrPr6esXFxbnH4uPjVVhYqMbGRi9WBgAAOgrOYJ3B4XAoNDRU/v7%2B7rGwsDDV1dWpqqpKXbp0aXaN8vJyORwOjzGbLUgRERHG65UkPz9fj%2B9oQl%2Bs0Rdr5%2BvL75f84%2BcuBzCiI51x%2B9uMId4uwSgC1hlqamo8wpUk97HT6WzRGrm5ucrOzvYYS0lJ0fTp080UeYby8nKtW7dGEydObLMQ1xHRF2v0xdr5%2BvLhoov38oDy8nLl5uby83IG%2BmKNvvyAv8KeISAg4Kwgdfo4MDCwRWtMnDhRW7du9fiaOHGi8VpPczgcys7OPuus2cWOvlijL9boizX6Yo2%2BWKMvP%2BAM1hkiIyNVWVmp%2Bvp62WxN7XE4HAoMDFRISEiL1oiIiLjokzsAABczzmCdoV%2B/frLZbCooKHCP5efnKzo6Wr6%2BtAsAADSPxHAGu92uMWPGKCMjQ0VFRdq1a5fWrl2rpKQkb5cGAAA6CL%2BMjIwMbxfR3gwcOFAHDx7UU089pb179%2Br%2B%2B%2B/XuHHjvF3WeQUHBysxMVHBwcHeLqVdoS/W6Is1%2BmKNvlijL9boSxMfl8vl8nYRAAAAvyS8RAgAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIDVwdXV1Wn27NlKSEjQ4MGDtXbtWm%2BX1C4cO3ZMqampSkxM1JAhQ7R48WLV1dV5u6x2ZerUqXrssce8XUa74HQ6NW/ePF177bX6j//4Dy1dulTcg1k6evSopk2bpmuuuUbDhg3TCy%2B84O2SvMrpdGrUqFHat2%2Bfe6y0tFR33XWXYmNjddNNN2nPnj1erNA7rPpSUFCg2267TXFxcRo%2BfLjy8vK8WKF3ELA6uMzMTB04cEDr1q3T3LlzlZ2drR07dni7LK9yuVxKTU1VTU2NNm7cqKefflpvvfWWli1b5u3S2o3XXntNu3fv9nYZ7cbChQv17rvv6rnnntNTTz2lP//5z8rNzfV2WV730EMPKSgoSFu3btXs2bO1bNky/e1vf/N2WV5RV1enhx9%2BWCUlJe4xl8ul5ORkhYWFacuWLRo9erRSUlJ05MgRL1b687Lqi8Ph0H333afExES98sorSk1N1YIFC/T22297r1AvsHm7ALTeyZMnlZeXp9WrVysqKkpRUVEqKSnRxo0bNWLECG%2BX5zWHDx9WQUGB3nnnHYWFhUmSUlNT9eSTT%2BrRRx/1cnXeV1VVpczMTEVHR3u7lHahqqpKW7Zs0fPPP6%2Brr75akjRlyhQVFhbqtttu83J13vPdd9%2BpoKBACxYsUO/evdW7d28NGTJEe/fu1e9//3tvl/ezOnTokB555JGzzmq%2B9957Ki0t1aZNmxQUFKQ%2Bffpo79692rJli6ZPn%2B6lan8%2B5%2BrLrl27FBYWpocffliS1Lt3b%2B3bt0%2Bvvvqqrr/%2Bei9U6h2cwerAiouLVV9fr7i4OPdYfHy8CgsL1djY6MXKvCs8PFxr1qxxh6vTTpw44aWK2pcnn3xSo0eP1uWXX%2B7tUtqF/Px8derUSYmJie6xqVOnavHixV6syvsCAwNlt9u1detWnTp1SocPH9b%2B/fvVr18/b5f2s3v//fc1YMCAs85qFhYWqn///goKCnKPxcfHq6Cg4Ocu0SvO1ZfTl2Wc6WL7HcwZrA7M4XAoNDRU/v7%2B7rGwsDDV1dWpqqpKXbp08WJ13hMSEqIhQ4a4jxsbG/Xiiy9q4MCBXqyqfdi7d68%2B/PBDvfrqq8rIyPB2Oe1CaWmpevToob/85S969tlnderUKY0dO1YPPPCAfH0v3r%2BDBgQEaM6cOVqwYIHWr1%2BvhoYGjR07VhMmTPB2aT%2B722%2B/3XLc4XAoIiLCY6xr164qKyv7OcryunP1pWfPnurZs6f7%2BJtvvtFrr712UZzV%2BzECVgdWU1PjEa4kuY%2BdTqc3SmqXsrKydPDgQW3evNnbpXhVXV2d5s6dqzlz5igwMNDb5bQbJ0%2Be1BdffKFNmzZp8eLFcjgcmjNnjux2u6ZMmeLt8rzqs88%2B09ChQ3X33XerpKRECxYs0HXXXadbbrnF26W1C%2Bf6Hczv3x/U1tZq%2BvTpCgsL08SJE71dzs%2BKgNWBBQQEnPUf8ulj/gfaJCsrS%2BvWrdPTTz%2BtK664wtvleFV2drauuuoqj7N7kGw2m06cOKGnnnpKPXr0kCQdOXJEL7/88kUdsPbu3avNmzdr9%2B7dCgwMVHR0tI4dO6ZVq1YRsP6/gIAAVVVVeYw5nU5%2B//5/33//vR588EH961//0ksvvSS73e7tkn5WBKwOLDIyUpWVlaqvr5fN1vSv0uFwKDAwUCEhIV6uzvsWLFigl19%2BWVlZWRo%2BfLi3y/G61157TRUVFe5r9k6H8Z07d%2Bqjjz7yZmleFR4eroCAAHe4kqTf/OY3Onr0qBer8r4DBw6oV69eHmGhf//%2BevbZZ71YVfsSGRmpQ4cOeYxVVFSc9bLhxejEiRO699579eWXX2rdunXq3bu3t0v62RGwOrB%2B/frJZrOpoKBACQkJkpou2I2Ojr6orx2Rms7WbNq0SUuXLr2o31H5Yxs2bFB9fb37eMmSJZKkGTNmeKukdiEmJkZ1dXX6/PPP9Zvf/EZS0ztRfxy4LkYRERH64osv5HQ63S%2BDHT582OPamotdTEyMcnJyVFtb6w6i%2Bfn5io%2BP93Jl3tXY2KiUlBR99dVX2rBhg/r06ePtkrzi4v6/cAdnt9s1ZswYZWRkqKioSLt27dLatWuVlJTk7dK86rPPPtPKlSt13333KT4%2BXg6Hw/11MevRo4d69erl/goODlZwcLB69erl7dK86re//a2uv/56paWlqbi4WP/4xz%2BUk5OjSZMmebs0rxo2bJguueQSPf744/r888/1f//3f3r22Wd15513eru0diMxMVHdunVTWlqaSkpKlJOTo6KiIo0fP97bpXnV5s2btW/fPi1cuFAhISHu379nvpz6S8cZrA4uLS1NGRkZmjx5sjp16qTp06frxhtv9HZZXvXmm2%2BqoaFBq1at0qpVqzzmPv30Uy9VhfZsyZIlWrBggSZNmiS73a477rjjog8Sl156qV544QUtWrRI48ePV5cuXfTAAw9cdBcqn4%2Bfn59Wrlyp9PR0jR07Vr169dKKFSvUvXt3b5fmVTt37lRjY6OmTZvmMZ6YmKgNGzZ4qaqfn4%2BLz4MAAAAwipcIAQAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMCw/wc7IZl64oV6lQAAAABJRU5ErkJggg%3D%3D"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common3601575618562650661">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">8.48035</td>
<td class="number">401</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.0</td>
<td class="number">212</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">8.98729</td>
<td class="number">172</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">9.23599</td>
<td class="number">159</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">7.60549</td>
<td class="number">66</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">9.01965</td>
<td class="number">14</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">8.999104</td>
<td class="number">13</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">9.020514</td>
<td class="number">13</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">8.978209</td>
<td class="number">13</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">8.991158</td>
<td class="number">13</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (370799)</td>
<td class="number">567916</td>
<td class="number">99.6%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">1308</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme3601575618562650661">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">-0.07492138</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.07481684</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.07384191</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.0</td>
<td class="number">212</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.6737627</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">12.41009</td>
<td class="number">2</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">12.41013</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:50%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">12.41018</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:50%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">12.41023</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:50%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">12.41028</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:50%">&nbsp;</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4">AIC88055.PV<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>256566</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>45.1%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.3%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1433</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>35.818</td>
</tr>
<tr>
<th>Minimum</th>
<td>-0.18595</td>
</tr>
<tr>
<th>Maximum</th>
<td>64.983</td>
</tr>
<tr class="ignore">
<th>Zeros (%)</th>
<td>0.3%</td>
</tr>
</table>
</div>
</div>
</div>
<div class="col-md-3 collapse in" id="minihistogram-6191896759545839589">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAAQVJREFUeJzt2cEJAkEQRUFXDMkgzMmzORmEObUJyAMFmWWpug/8y6MPs83MnICPzqsHwJ5dVg/guK7359dvXo/bH5b8zgWBIBAIAoEgEAgCgSAQCAKBIBAIu/soPMLnEsfhgkAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUDYZmZWj4C9ckEgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgvAHgZA6RPuEbZwAAAABJRU5ErkJggg%3D%3D">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives-6191896759545839589,#minihistogram-6191896759545839589"
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</div>
<div class="row collapse col-md-12" id="descriptives-6191896759545839589">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles-6191896759545839589"
aria-controls="quantiles-6191896759545839589" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram-6191896759545839589" aria-controls="histogram-6191896759545839589"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common-6191896759545839589" aria-controls="common-6191896759545839589"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme-6191896759545839589" aria-controls="extreme-6191896759545839589"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles-6191896759545839589">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>-0.18595</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>-0.10741</td>
</tr>
<tr>
<th>Q1</th>
<td>-0.042467</td>
</tr>
<tr>
<th>Median</th>
<td>64.934</td>
</tr>
<tr>
<th>Q3</th>
<td>64.952</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>64.961</td>
</tr>
<tr>
<th>Maximum</th>
<td>64.983</td>
</tr>
<tr>
<th>Range</th>
<td>65.169</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>64.994</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>32.317</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.90227</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>-1.9561</td>
</tr>
<tr>
<th>Mean</th>
<td>35.818</td>
</tr>
<tr>
<th>MAD</th>
<td>32.137</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>-0.20844</td>
</tr>
<tr>
<th>Sum</th>
<td>20376000</td>
</tr>
<tr>
<th>Variance</th>
<td>1044.4</td>
</tr>
<tr>
<th>Memory size</th>
<td>4.4 MiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram-6191896759545839589">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzt3X9YVGX%2B//EXMAsMuCTKj0vNK1dd08gAIbVVu9K11HTTFX98ND9m2doWxO5VaqGl%2BJNd0DIX%2B0Hmj8yKVStXt7Vdu/pYVpqLMeQaBVpJKTLswqI5gMD5/uHXmSY0kA4MMM/Hdc2Fc99z7vs%2Bb7Tz6pzDwccwDEMAAAAwja%2BnFwAAANDeELAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwmcXTC/AWdvuZZhnX19dHnToF6z//%2BVZ1dUazzNFWUAsXauFCLVyohQu1cGnvtQgP/6lH5uUMVhvn6%2BsjHx8f%2Bfr6eHopHkctXKiFC7VwoRYu1MKFWjQPAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJLJ5eAAAAaB5j1rzv6SU02t9%2BP8TTSzAVZ7AAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQeDVhfffWVZs%2BerdjYWN1yyy1av369s6%2BoqEizZs1STEyMbr/9du3fv99t2w8%2B%2BEDjxo1TdHS0Zs6cqaKiIrf%2BTZs2adiwYYqNjdWCBQvkcDicfVVVVVqwYIHi4%2BM1dOhQbdiwwW3bhuYGAAD4IR4LWHV1dZozZ45CQ0P1%2Buuva8mSJXrmmWe0a9cuGYahxMREhYWFaceOHRo/frySkpJ08uRJSdLJkyeVmJioiRMnavv27erUqZMeeOABGYYhSXrrrbeUmZmppUuXavPmzbLZbMrIyHDOnZ6eriNHjmjz5s1avHixMjMztWfPHklqcG4AAICGeOxJ7qWlperXr59SU1PVoUMH9ejRQzfddJNycnIUFhamoqIivfrqqwoKClKvXr304YcfaseOHXrwwQe1bds2XX/99brnnnskSWlpaRoyZIg%2B%2BugjDRo0SC%2B%2B%2BKLuuusuDR8%2BXJK0ZMkSzZ49W/PmzZNhGNq2bZuef/55RUVFKSoqSgUFBdq6datGjx6tAwcO/ODcAAAADfHYGayIiAitWbNGHTp0kGEYysnJ0aFDhzRw4EDZbDZdd911CgoKcn4%2BLi5Oubm5kiSbzab4%2BHhnn9VqVVRUlHJzc1VbW6tPPvnErT8mJkbnz59Xfn6%2B8vPzVVNTo9jYWLexbTab6urqGpwbAACgIa3iJvcRI0Zo%2BvTpio2N1ahRo2S32xUREeH2mc6dO6u4uFiSfrC/oqJCVVVVbv0Wi0UdO3ZUcXGx7Ha7QkND5e/v7%2BwPCwtTVVWVysvLG5wbAACgIa3ilz2vXbtWpaWlSk1NVVpamhwOh1sAkiR/f39VV1dL0g/2V1ZWOt9fqt8wjEv2SVJ1dXWDczdGSUmJ7Ha7W5vFElQvuJnBz8/X7as3oxYu1MKFWrhQCxdq0fpYLO3re9EqAlb//v0lXfjpvrlz5yohIcHtp/6kC%2BEnMDBQkhQQEFAv8FRXVyskJEQBAQHO99/vt1qtqq2tvWSfJAUGBiogIEDl5eWXnbsxsrOzlZmZ6daWmJio5OTkRo9xpUJCrM02dltDLVyohQu1cKEWLtSi9QgNDfb0Ekzl0Zvcc3NzNXLkSGdb7969df78eYWHh%2Bv48eP1Pn/xDFBkZKRKS0vr9ffr108dO3ZUQECASktL1atXL0lSTU2NysvLFR4eLsMwVFZWppqaGlksF3bfbrcrMDBQISEhioyMVGFh4WXnboypU6dqxIgRbm0WS5DKyr5t9BiN5efnq5AQqyoqHKqtrTN9/LaEWrhQCxdq4UItXKhF69Mcx0jJc8HNYwHr66%2B/VlJSkvbt26fIyEhJ0pEjR9SpUyfFxcVpw4YNqqysdJ45ysnJUVxcnCQpOjpaOTk5zrEcDoeOHj2qpKQk%2Bfr6qn///srJydGgQYMkSbm5ubJYLOrbt6%2BkC/dk5ebmOm%2BEz8nJUf/%2B/eXr66vo6GhlZWVddu7GiIiIqBfI7PYzqqlpvn/EtbV1zTp%2BW0ItXKiFC7VwoRYu1KL1aG/fB49d8Ozfv7%2BioqK0YMECFRYWat%2B%2BfcrIyNBvf/tbDRw4UF26dFFKSooKCgqUlZWlvLw8TZo0SZKUkJCgw4cPKysrSwUFBUpJSdHVV1/tDFTTp0/XCy%2B8oL179yovL0%2BpqamaMmWKrFarrFarJkyYoNTUVOXl5Wnv3r3asGGDZs6cKUkNzg0AANAQH%2BPi0zk94PTp01q2bJk%2B/PBDWa1WzZgxQ/fdd598fHz01VdfaeHChbLZbLrmmmu0YMEC/eIXv3Buu2/fPq1cuVLFxcWKjY3VsmXL1L17d2d/VlaWNm3apOrqat12221avHix8/4sh8Oh1NRU/f3vf1eHDh00e/ZszZo1y7ltQ3M3hd1%2B5kdtfzkWi69CQ4NVVvZtu0v/V4pauFALF2rhQi1cvKUWY9a87%2BklNNrffj%2BkWcYND/9ps4zbEI8GLG9CwGp%2B1MKFWrhQCxdq4eIttSBgeS5gta%2BfiQQAAGgFCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJLJ6a%2BPTp01qxYoUOHDiggIAA3X777XrooYcUEBCg5cuXa8uWLW6ff/zxxzVjxgxJ0u7du7VmzRrZ7XYNHTpUy5YtU6dOnSRJhmFo9erV2r59u%2Brq6jRp0iTNnTtXvr4XsmRZWZkWLVqk/fv3KzQ0VL/73e80fvx45zxHjx7V4sWL9fnnn6t3795asmSJrr/%2B%2BhaqypW7ddV7nl5Co/3t90M8vQQAAFqER85gGYah5ORkORwObd26VU8%2B%2BaTeeecdrVmzRpJ07NgxPfzww9q/f7/zlZCQIEnKy8vTwoULlZSUpOzsbFVUVCglJcU59saNG7V7925lZmZq7dq12rVrlzZu3OjsT0lJ0ZkzZ5Sdna37779fjz32mPLy8iRJ586d05w5cxQfH6/XXntNsbGxuu%2B%2B%2B3Tu3LkWrA4AAGjrPBKwjh8/rtzcXKWlpennP/%2B54uPjlZycrN27d0u6ELCuu%2B46hYeHO19Wq1WS9NJLL2nMmDGaMGGC%2Bvbtq/T0dO3bt09FRUWSpBdffFHJycmKj4/X4MGDNXfuXG3dulWSdOLECb3zzjtavny5%2BvTpo8mTJ%2BuOO%2B7Qyy%2B/LEl68803FRAQoPnz56tXr15auHChgoODtWfPHg9UCQAAtFUeCVjh4eFav369wsLC3NrPnj2rs2fP6vTp0%2BrRo8clt7XZbIqPj3e%2B79Kli7p27SqbzabTp0/r1KlTuvHGG539cXFx%2Buabb1RSUiKbzaYuXbro6quvduv/%2BOOPnWPHxcXJx8dHkuTj46MBAwYoNzfXrF0HAABewCP3YIWEhGjYsGHO93V1dXrppZc0ePBgHTt2TD4%2BPnr22Wf17rvvqmPHjrr77rv161//WpJUUlKiiIgIt/E6d%2B6s4uJi2e12SXLrvxjiLvZfatvTp09Lkux2u3r37l2vv6Cg4Ir2r6SkxLmWiyyWoHpzexuLpXnzvJ%2Bfr9tXb0YtXKiFC7VwoRatT3MfI1qax25y/66MjAwdPXpU27dv17/%2B9S/5%2BPioZ8%2BemjFjhg4dOqTHH39cHTp00K233qrKykr5%2B/u7be/v76/q6mpVVlY633%2B3T5Kqq6vlcDguu62kBvsbKzs7W5mZmW5tiYmJSk5OvqJx2pvQ0OAWmSckxNoi87QF1MKFWrhQCxdq0Xq01DGipXg8YGVkZGjz5s168skn1adPH/385z/X8OHD1bFjR0lS37599eWXX%2BqVV17RrbfeqoCAgHqBp7q6Wlar1S1MBQQEOP8sSVar9bLbBgYGSlKD/Y01depUjRgxwq3NYglSWdm3VzROe9Pc%2B%2B/n56uQEKsqKhyqra1r1rlaO2rhQi1cqIULtWh9musY4ang5tGAtWzZMr3yyivKyMjQqFGjJF247%2BliuLqoZ8%2BeOnDggCQpMjJSpaWlbv2lpaUKDw9XZGSkpAuX%2Bi7eZ3XxUt3F/stt%2B0NjX%2BmlvYiIiHrb2O1nVFPj3f%2BIW2r/a2vrvL7WF1ELF2rhQi1cqEXr0d6%2BDx674JmZmalXX31VTzzxhMaOHetsf%2BqppzRr1iy3z%2Bbn56tnz56SpOjoaOXk5Dj7Tp06pVOnTik6OlqRkZHq2rWrW39OTo66du2qiIgIxcTE6JtvvlFxcbFbf0xMjHPsjz/%2BWIZhSLrwOInDhw8rOjra9P0HAADtl0cC1rFjx/T000/rN7/5jeLi4mS3252v4cOH69ChQ3rhhRd04sQJvfzyy3rjjTd0zz33SJKmTZumnTt3atu2bcrPz9f8%2BfN1yy23qHv37s7%2BVatW6eDBgzp48KBWr16tmTNnSpK6d%2B%2BuoUOHat68ecrPz9e2bdu0e/du3XnnnZKk0aNHq6KiQitWrFBhYaFWrFghh8OhMWPGeKJMAACgjfLIJcK3335btbW1euaZZ/TMM8%2B49X322Wd66qmntHbtWj311FPq1q2bVq9erdjYWElSbGysli5dqrVr1%2Bq///2vhgwZomXLljm3nz17tv79738rKSlJfn5%2BmjRpktsZsfT0dC1cuFBTpkxReHi4Vq5cqRtuuEGS1KFDBz333HNavHix/vznP%2Bvaa69VVlaWgoKCmr8oAACg3fAxLl4PQ7Oy2880y7hj1rzfLOM2h%2Bb%2BVTkWi69CQ4NVVvZtu7uWf6WohQu1cKEWLt5SC44RUnj4T5tl3Ia0r4dOAAAAtAIELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMJnHAtbp06eVnJysgQMHatiwYUpLS1NVVZUkqaioSLNmzVJMTIxuv/127d%2B/323bDz74QOPGjVN0dLRmzpypoqIit/5NmzZp2LBhio2N1YIFC%2BRwOJx9VVVVWrBggeLj4zV06FBt2LDBbduG5gYAAGiIRwKWYRhKTk6Ww%2BHQ1q1b9eSTT%2Bqdd97RmjVrZBiGEhMTFRYWph07dmj8%2BPFKSkrSyZMnJUknT55UYmKiJk6cqO3bt6tTp0564IEHZBiGJOmtt95SZmamli5dqs2bN8tmsykjI8M5d3p6uo4cOaLNmzdr8eLFyszM1J49e5zr%2BqG5AQAAGsPiiUmPHz%2Bu3Nxcvf/%2B%2BwoLC5MkJScn649//KNuvvlmFRUV6dVXX1VQUJB69eqlDz/8UDt27NCDDz6obdu26frrr9c999wjSUpLS9OQIUP00UcfadCgQXrxxRd11113afjw4ZKkJUuWaPbs2Zo3b54Mw9C2bdv0/PPPKyoqSlFRUSooKNDWrVs1evRoHThw4AfnBgAAaAyPnMEKDw/X%2BvXrneHqorNnz8pms%2Bm6665TUFCQsz0uLk65ubmSJJvNpvj4eGef1WpVVFSUcnNzVVtbq08%2B%2BcStPyYmRufPn1d%2Bfr7y8/NVU1Oj2NhYt7FtNpvq6uoanBsAAKAxPHIGKyQkRMOGDXO%2Br6ur00svvaTBgwfLbrcrIiLC7fOdO3dWcXGxJP1gf0VFhaqqqtz6LRaLOnbsqOLiYvn6%2Bio0NFT%2B/v7O/rCwMFVVVam8vLzBuQEAABrDIwHr%2BzIyMnT06FFt375dmzZtcgtAkuTv76/q6mpJksPhuGx/ZWWl8/2l%2Bg3DuGSfJFVXV//g2FeipKREdrvdrc1iCaoX3ryNxdK8J0z9/HzdvnozauFCLVyohQu1aH2a%2BxjR0jwesDIyMrR582Y9%2BeST6tOnjwICAlReXu72merqagUGBkqSAgIC6gWe6upqhYSEKCAgwPn%2B%2B/1Wq1W1tbWX7JOkwMDABudurOzsbGVmZrq1JSYmKjk5%2BYrGaW9CQ4NbZJ6QEGuLzNMWUAsXauFCLVyoRevRUseIltKkgDV58mQlJCRo7Nix%2BulPf9rkyZctW6ZXXnlFGRkZGjVqlCQpMjJShYWFbp8rLS11nv2JjIxUaWlpvf5%2B/fqpY8eOCggIUGlpqXr16iVJqqmpUXl5ucLDw2UYhsrKylRTUyOL5cKu2%2B12BQYGKiQkpMG5G2vq1KkaMWKEW5vFEqSysm%2BvaJz2prn338/PVyEhVlVUOFRbW9esc7V21MKFWrhQCxdq0fo01zHCU8GtSQFr8ODBevbZZ5WWlqZf/vKXmjhxooYMGSIfH59Gj5GZmalXX31VTzzxhEaPHu1sj46OVlZWliorK51njnJychQXF%2Bfsz8nJcX7e4XDo6NGjSkpKkq%2Bvr/r376%2BcnBwNGjRIkpSbmyuLxaK%2Bffte2GGLRbm5uc4b4XNyctS/f3/5%2Bvo2OHdjRURE1AtldvsZ1dR49z/iltr/2to6r6/1RdTChVq4UAsXatF6tLfvQ5MueD788MN655139PTTT8vPz08PPvigbrnlFj355JP64osvGtz%2B2LFjevrpp/Wb3/xGcXFxstvtztfAgQPVpUsXpaSkqKCgQFlZWcrLy9OkSZMkSQkJCTp8%2BLCysrJUUFCglJQUXX311c5ANX36dL3wwgvau3ev8vLylJqaqilTpshqtcpqtWrChAlKTU1VXl6e9u7dqw0bNmjmzJmS1ODcAAAAjeFjXHxC54/gcDi0ZcsWPf3006qqqtKAAQN011136bbbbrvk57OysrR69epL9n322Wf66quvtHDhQtlsNl1zzTVasGCBfvGLXzg/s2/fPq1cuVLFxcWKjY3VsmXL1L17d7fxN23apOrqat12221avHix8/4sh8Oh1NRU/f3vf1eHDh00e/ZszZo1y7ltQ3M3ld1%2B5kePcSlj1rzfLOM2h7/9fkizjm%2Bx%2BCo0NFhlZd%2B2u/8TulLUwoVauFALF2%2BpBccIKTy86bcy/Rg/KmCVlJToL3/5i/7yl7/o888/14ABA/TrX/9axcXF2rJli8aPH6%2BFCxeaud42i4BFwGpJ1MKFWrhQCxdvqQXHCM8FrCbdg7Vz507t3LlTBw8eVKdOnTRhwgStXbtWPXr0cH6mS5cuWrFiBQELAAB4nSYFrIULF2r48OFat26dbr75Zvn61r%2BVq2fPnpoxY8aPXiAAAEBb06SA9e677yo0NFTl5eXOcJWXl6eoqCj5%2BflJkgYMGKABAwaYt1IAAIA2okk/RXj27FmNHj1azz//vLNtzpw5Gj9%2BvE6dOmXa4gAAANqiJgWslStX6pprrtHdd9/tbHvzzTfVpUsXpaWlmbY4AACAtqhJAeuf//ynHn30UYWHhzvbOnXqpPnz5%2BvAgQOmLQ4AAKAtalLAslgsqqioqNfucDhkwmO1AAAA2rQmBaybb75Zy5cv14kTJ5xtRUVFSktL07Bhw0xbHAAAQFvUpJ8ifOSRR3T33Xdr1KhRCgkJkSRVVFQoKipKKSkppi4QAACgrWlSwOrcubNef/11ffDBByooKJDFYlHv3r110003XdEvfAYAAGiPmhSwJMnPz0/Dhg3jkiAAAMD3NClg2e12rVmzRocPH9b58%2Bfr3dj%2B9ttvm7I4AACAtqhJAevxxx/XkSNHNHbsWP30p575JYoAAACtVZMC1oEDB7R%2B/XrFx8ebvR4AAIA2r0mPaQgKClLnzp3NXgsAAEC70KSANX78eK1fv161tbVmrwcAAKDNa9IlwvLycu3evVv/93//p%2B7du8vf39%2Bt/8UXXzRlcQAAAG1Rkx/TMG7cODPXAQAA0G40KWClpaWZvQ4AAIB2o0n3YElSSUmJMjMz9fDDD%2Bvf//639uzZo%2BPHj5u5NgAAgDapSQHrq6%2B%2B0q9%2B9Su9/vrreuutt3Tu3Dm9%2BeabSkhIkM1mM3uNAAAAbUqTAtYf/vAHjRw5Unv37tVPfvITSdITTzyhESNGaNWqVaYuEAAAoK1pUsA6fPiw7r77brdf7GyxWPTAAw/o6NGjpi0OAACgLWpSwKqrq1NdXV299m%2B//VZ%2Bfn4/elEAAABtWZMC1tChQ/Xcc8%2B5hazy8nJlZGRo8ODBpi0OAACgLWpSwHr00Ud15MgRDR06VFVVVbr//vs1fPhwff3113rkkUfMXiMAAECb0qTnYEVGRuqNN97Q7t279emnn6qurk7Tpk3T%2BPHj1aFDB7PXCAAA0KY0%2BUnuVqtVkydPNnMtAAAA7UKTAtbMmTN/sJ/fRQgAALxZkwJWt27d3N7X1NToq6%2B%2B0ueff6677rrLlIUBAAC0Vab%2BLsJ169apuLj4Ry0IAACgrWvy7yK8lPHjx%2Btvf/ubmUMCAAC0OaYGrI8//pgHjQIAAK9n2k3uZ8%2Be1Weffabp06f/6EUBAAC0ZU0KWF27dnX7PYSS9JOf/EQzZszQHXfcYcrCAAAA2qomBaw//OEPZq8DAACg3WhSwDp06FCjP3vjjTc2ZQoAAIA2q0kB63//93%2BdlwgNw3C2f7/Nx8dHn376aYPjVVdXa%2BLEiXr88cc1aNAgSdLy5cu1ZcsWt889/vjjmjFjhiRp9%2B7dWrNmjex2u4YOHaply5apU6dOzvlXr16t7du3q66uTpMmTdLcuXPl63vhnv6ysjItWrRI%2B/fvV2hoqH73u99p/PjxznmOHj2qxYsX6/PPP1fv3r21ZMkSXX/99U0pFQAA8EJN%2BinCZ599Vt26ddOaNWv04YcfKicnR5s2bdLPfvYzPfTQQ3r77bf19ttva%2B/evQ2OVVVVpYceekgFBQVu7ceOHdPDDz%2Bs/fv3O18JCQmSpLy8PC1cuFBJSUnKzs5WRUWFUlJSnNtu3LhRu3fvVmZmptauXatdu3Zp48aNzv6UlBSdOXNG2dnZuv/%2B%2B/XYY48pLy9PknTu3DnNmTNH8fHxeu211xQbG6v77rtP586da0qpAACAF2pSwEpLS9OiRYs0atQohYaGKjg4WIMHD9bSpUv1yiuvqFu3bs7XDyksLNSUKVN04sSJen3Hjh3Tddddp/DwcOfLarVKkl566SWNGTNGEyZMUN%2B%2BfZWenq59%2B/apqKhI0oVf1ZOcnKz4%2BHgNHjxYc%2BfO1datWyVJJ06c0DvvvKPly5erT58%2Bmjx5su644w69/PLLkqQ333xTAQEBmj9/vnr16qWFCxcqODhYe/bsaUqpAACAF2pSwCopKblkeOrQoYPKysoaPc5HH32kQYMGKTs726397NmzOn36tHr06HHJ7Ww2m%2BLj453vu3Tpoq5du8pms%2Bn06dM6deqU271fcXFx%2Buabb1RSUiKbzaYuXbro6quvduv/%2BOOPnWPHxcU5L3f6%2BPhowIABys3NbfR%2BAQAA79ake7BiYmL0xBNP6I9//KM6dOggSSovL1dGRoZuuummRo9zuWdmHTt2TD4%2BPnr22Wf17rvvqmPHjrr77rv161//WtKFgBcREeG2TefOnVVcXCy73S5Jbv1hYWGS5Oy/1LanT5%2BWJNntdvXu3bte//cvYf6QkpIS5zousliC6s3rbSwWU59rW4%2Bfn6/bV29GLVyohQu1cKEWrU9zHyNaWpMC1mOPPaaZM2fq5ptvVo8ePWQYhr788kuFh4frxRdf/NGLOn78uHx8fNSzZ0/NmDFDhw4d0uOPP64OHTro1ltvVWVlpfz9/d228ff3V3V1tSorK53vv9snXbiZ3uFwXHZbSQ32N0Z2drYyMzPd2hITE5WcnNzoMdqj0NDgFpknJMTaIvO0BdTChVq4UAsXatF6tNQxoqU0KWD16tVLb775pnbv3q1jx45Jku68806NHTvWeZ/UjzFhwgQNHz5cHTt2lCT17dtXX375pV555RXdeuutCggIqBd4qqurZbVa3cJUQECA88%2BSZLVaL7ttYGCgJDXY3xhTp07ViBEj3NosliCVlX3b6DHao%2Bbefz8/X4WEWFVR4VBtbV2zztXaUQsXauFCLVyoRevTXMcITwW3JgUsSbrqqqs0efJkff311%2BrevbukC09zN4OPj48zXF3Us2dPHThwQJIUGRmp0tJSt/7S0lKFh4crMjJS0oVLfRfvs7p4ue5i/%2BW2/aGxr%2BTyXkRERL3P2%2B1nVFPj3f%2BIW2r/a2vrvL7WF1ELF2rhQi1cqEXr0d6%2BD0264GkYhlatWqUbb7xR48aNU3FxsR555BEtXLhQ58%2Bf/9GLeuqppzRr1iy3tvz8fPXs2VOSFB0drZycHGffqVOndOrUKUVHRysyMlJdu3Z168/JyVHXrl0VERGhmJgYffPNNyouLnbrj4mJcY798ccfO5/lZRiGDh8%2BrOjo6B%2B9XwAAwDs0KWBt2bLWggwIAAAaP0lEQVRFO3fu1OLFi52X5EaOHKm9e/fWu/eoKYYPH65Dhw7phRde0IkTJ/Tyyy/rjTfe0D333CNJmjZtmnbu3Klt27YpPz9f8%2BfP1y233OI8kzZt2jStWrVKBw8e1MGDB7V69WrnL6ju3r27hg4dqnnz5ik/P1/btm3T7t27deedd0qSRo8erYqKCq1YsUKFhYVasWKFHA6HxowZ86P3CwAAeIcmBazs7GwtWrRIEydOdD7O4Pbbb9fy5cu1a9euH72oG264QU899ZR27typcePGacuWLVq9erViY2MlSbGxsVq6dKnWrVunadOm6aqrrlJaWppz%2B9mzZ%2Bv2229XUlKS8ynt3z0jlp6eruDgYE2ZMkXPPvusVq5cqRtuuEHShUdNPPfcc8rJydHEiRNls9mUlZWloKCgH71fAADAOzTpHqyvv/5a/fr1q9fet2/feo8naKzPPvvM7f3IkSM1cuTIy35%2B4sSJmjhx4iX7/Pz8lJKS4vZ09%2B/q3Lmznn322cuOfcMNN%2Bj1119vxKoBAADqa9IZrG7duumTTz6p1/7uu%2B86L9MBAAB4qyadwZo9e7aWLFkiu90uwzD04YcfKjs7W1u2bNGjjz5q9hoBAADalCYFrISEBNXU1OiZZ55RZWWlFi1apE6dOun3v/%2B9pk2bZvYaAQAA2pQmBazdu3dr9OjRmjp1qv7zn//IMAx17tzZ7LUBAAC0SU26B2vp0qXOm9k7depEuAIAAPiOJgWsHj166PPPPzd7LQAAAO1Cky4R9u3bV3PnztX69evVo0cP5%2B/8u%2Bi7z6QCAADwNk0KWF988YXi4uIkqcnPvQIAAGivGh2w0tPTlZSUpKCgIG3ZsqU51wQAANCmNfoerI0bN8rhcLi1zZkzRyUlJaYvCgAAoC1rdMAyDKNe26FDh1RVVWXqggAAANq6Jv0UIQAAAC6PgAUAAGCyKwpYPj4%2BzbUOAACAduOKHtOwfPlyt2denT9/XhkZGQoODnb7HM/BAgAA3qzRAevGG2%2Bs98yr2NhYlZWVqayszPSFAQAAtFWNDlg8%2BwoAAKBxuMkdAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAEzm8YBVXV2tcePG6eDBg862oqIizZo1SzExMbr99tu1f/9%2Bt20%2B%2BOADjRs3TtHR0Zo5c6aKiorc%2Bjdt2qRhw4YpNjZWCxYskMPhcPZVVVVpwYIFio%2BP19ChQ7Vhwwa3bRuaGwAAoCEeDVhVVVV66KGHVFBQ4GwzDEOJiYkKCwvTjh07NH78eCUlJenkyZOSpJMnTyoxMVETJ07U9u3b1alTJz3wwAMyDEOS9NZbbykzM1NLly7V5s2bZbPZlJGR4Rw/PT1dR44c0ebNm7V48WJlZmZqz549jZobAACgMTwWsAoLCzVlyhSdOHHCrf3AgQMqKirS0qVL1atXL913332KiYnRjh07JEnbtm3T9ddfr3vuuUc///nPlZaWpm%2B%2B%2BUYfffSRJOnFF1/UXXfdpeHDh%2BuGG27QkiVLtGPHDjkcDp07d07btm3TwoULFRUVpVtvvVX33nuvtm7d2qi5AQAAGsNjAeujjz7SoEGDlJ2d7dZus9l03XXXKSgoyNkWFxen3NxcZ398fLyzz2q1KioqSrm5uaqtrdUnn3zi1h8TE6Pz588rPz9f%2Bfn5qqmpUWxsrNvYNptNdXV1Dc4NAADQGBZPTTx9%2BvRLttvtdkVERLi1de7cWcXFxQ32V1RUqKqqyq3fYrGoY8eOKi4ulq%2Bvr0JDQ%2BXv7%2B/sDwsLU1VVlcrLyxucGwAAoDE8FrAux%2BFwuAUgSfL391d1dXWD/ZWVlc73l%2Bo3DOOSfdKFm%2B0bmruxSkpKZLfb3doslqB64c3bWCzNe8LUz8/X7as3oxYu1MKFWrhQi9anuY8RLa3VBayAgACVl5e7tVVXVyswMNDZ//3AU11drZCQEAUEBDjff7/farWqtrb2kn2SFBgY2ODcjZWdna3MzEy3tsTERCUnJ1/ROO1NaGhwi8wTEmJtkXnaAmrhQi1cqIULtWg9WuoY0VJaXcCKjIxUYWGhW1tpaanz7E9kZKRKS0vr9ffr108dO3ZUQECASktL1atXL0lSTU2NysvLFR4eLsMwVFZWppqaGlksF3bdbrcrMDBQISEhDc7dWFOnTtWIESPc2iyWIJWVfXtF47Q3zb3/fn6%2BCgmxqqLCodraumadq7WjFi7UwoVauFCL1qe5jhGeCm6tLmBFR0crKytLlZWVzjNHOTk5iouLc/bn5OQ4P%2B9wOHT06FElJSXJ19dX/fv3V05OjgYNGiRJys3NlcViUd%2B%2BfSVduCcrNzfXeSN8Tk6O%2BvfvL19f3wbnbqyIiIh6ocxuP6OaGu/%2BR9xS%2B19bW%2Bf1tb6IWrhQCxdq4UItWo/29n1odRc8Bw4cqC5duiglJUUFBQXKyspSXl6eJk2aJElKSEjQ4cOHlZWVpYKCAqWkpOjqq692Bqrp06frhRde0N69e5WXl6fU1FRNmTJFVqtVVqtVEyZMUGpqqvLy8rR3715t2LBBM2fObNTcAAAAjdHqApafn5%2Befvpp2e12TZw4UX/5y1%2B0bt06de3aVZJ09dVX609/%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%2BMc/dO2117q9kpOTJUlHjx7V5MmTFR0drYSEBB05csRt2927d2vkyJGKjo5WYmKi/vOf/zj7DMPQqlWrNHjwYA0cOFDp6emqq6tz9peVlenBBx9UbGysRowYoZ07d7bMDgMAgHaj1QaswsJCDR8%2BXPv373e%2Bli9frnPnzmnOnDmKj4/Xa6%2B9ptjYWN133306d%2B6cJCkvL08LFy5UUlKSsrOzVVFRoZSUFOe4Gzdu1O7du5WZmam1a9dq165d2rhxo7M/JSVFZ86cUXZ2tu6//3499thjysvLa/H9BwAAbVerDVjHjh1Tnz59FB4e7nyFhITozTffVEBAgObPn69evXpp4cKFCg4O1p49eyRJL730ksaMGaMJEyaob9%2B%2BSk9P1759%2B1RUVCRJevHFF5WcnKz4%2BHgNHjxYc%2BfO1datWyVJJ06c0DvvvKPly5erT58%2Bmjx5su644w69/PLLHqsDAABoe1p1wOrRo0e9dpvNpri4OPn4%2BEiSfHx8NGDAAOXm5jr74%2BPjnZ/v0qWLunbtKpvNptOnT%2BvUqVO68cYbnf1xcXH65ptvVFJSIpvNpi5duujqq6926//444%2BbaS8BAEB7ZPH0Ai7FMAx98cUX2r9/v5577jnV1tZq9OjRSk5Olt1uV%2B/evd0%2B37lzZxUUFEiSSkpKFBERUa%2B/uLhYdrtdktz6w8LCJMnZf6ltT58%2BfUXrLykpcc51kcUSVG9sb2OxNG%2Be9/PzdfvqzaiFC7VwoRYu1KL1ae5jREtrlQHr5MmTcjgc8vf315o1a/T1119r%2BfLlqqysdLZ/l7%2B/v6qrqyVJlZWVl%2B2vrKx0vv9unyRVV1c3OHZjZWdnKzMz060tMTHReZO%2BtwoNDW6ReUJCrC0yT1tALVyohQu1cKEWrUdLHSNaSqsMWN26ddPBgwd11VVXycfHR/369VNdXZ3mzZungQMH1gs81dXVCgwMlCQFBARcst9qtbqFqYCAAOefJclqtV5224tjN9bUqVM1YsQItzaLJUhlZd9e0TjtTXPvv5%2Bfr0JCrKqocKi2tq7hDdoxauFCLVyohQu1aH2a6xjhqeDWKgOWJHXs2NHtfa9evVRVVaXw8HCVlpa69ZWWljovv0VGRl6yPzw8XJGRkZIku93uvM/q4qW8i/2X2/ZKRERE1LscaLefUU2Nd/8jbqn9r62t8/paX0QtXKiFC7VwoRatR3v7PrTKC57vvfeeBg0aJIfD4Wz79NNP1bFjR%2BdN54ZhSLpwv9bhw4cVHR0tSYqOjlZOTo5zu1OnTunUqVOKjo5WZGSkunbt6tafk5Ojrl27KiIiQjExMfrmm29UXFzs1h8TE9PcuwwAANqRVhmwYmNjFRAQoMcee0zHjx/Xvn37lJ6ernvvvVejR49WRUWFVqxYocLCQq1YsUIOh0NjxoyRJE2bNk07d%2B7Utm3blJ%2Bfr/nz5%2BuWW25R9%2B7dnf2rVq3SwYMHdfDgQa1evVozZ86UJHXv3l1Dhw7VvHnzlJ%2Bfr23btmn37t268847PVYLAADQ9rTKS4QdOnTQCy%2B8oJUrVyohIUHBwcH6n//5H917773y8fHRc889p8WLF%2BvPf/6zrr32WmVlZSkoKEjShXC2dOlSrV27Vv/97381ZMgQLVu2zDn27Nmz9e9//1tJSUny8/PTpEmTNGvWLGd/enq6Fi5cqClTpig8PFwrV67UDTfc0NIlAAAAbZiPcfFaG5qV3X6mWcYds%2Bb9Zhm3Ofzt90OadXyLxVehocEqK/u23V3Lv1LUwoVauFALF2%2BpBccIKTz8p80ybkNa5SVCAACAtoyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyAdQlVVVVasGCB4uPjNXToUG3YsMHTSwIAAG2IxdMLaI3S09N15MgRbd68WSdPntQjjzyirl27avTo0Z5eGgAAaAMIWN9z7tw5bdu2Tc8//7yioqIUFRWlgoICbd26lYAFAAAahUuE35Ofn6%2BamhrFxsY62%2BLi4mSz2VRXV%2BfBlQEAgLaCM1jfY7fbFRoaKn9/f2dbWFiYqqqqVF5erk6dOjU4RklJiex2u1ubxRKkiIgI09fbllgszZvn/fx83b56M2rhQi1cqIULtWh9mvsY0dIIWN/jcDjcwpUk5/vq6upGjZGdna3MzEy3tqSkJD344IPmLPI73vzdAGVnZ2vq1KleH%2BBKSkq0efN6aiFq8V3UwoVauHhLLf65ouFbW0pKSjiONIP2FRdNEBAQUC9IXXwfGBjYqDGmTp2q1157ze01depU09cqXTjjlpmZWe%2BMmTeiFi7UwoVauFALF2rhQi2aB2ewvicyMlJlZWWqqamRxXKhPHa7XYGBgQoJCWnUGBEREfxfAAAAXowzWN/Tr18/WSwW5ebmOttycnLUv39/%2BfpSLgAA0DASw/dYrVZNmDBBqampysvL0969e7VhwwbNnDnT00sDAABthF9qamqqpxfR2gwePFhHjx7V6tWr9eGHH%2Bq3v/2tEhISPL2sywoODtbAgQMVHBzs6aV4HLVwoRYu1MKFWrhQCxdqYT4fwzAMTy8CAACgPeESIQAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgJWG1ZVVaUFCxYoPj5eQ4cO1YYNGzy9pBZXXV2tcePG6eDBg862oqIizZo1SzExMbr99tu1f/9%2BD66w%2BZ0%2BfVrJyckaOHCghg0bprS0NFVVVUnyvlp89dVXmj17tmJjY3XLLbdo/fr1zj5vq8VFc%2BbM0aOPPup8f/ToUU2ePFnR0dFKSEjQkSNHPLi6lvGPf/xD1157rdsrOTlZkvfVo7q6WkuWLNGNN96oX/ziF3riiSd08Xnj3laL5kbAasPS09N15MgRbd68WYsXL1ZmZqb27Nnj6WW1mKqqKj300EMqKChwthmGocTERIWFhWnHjh0aP368kpKSdPLkSQ%2ButPkYhqHk5GQ5HA5t3bpVTz75pN555x2tWbPG62pRV1enOXPmKDQ0VK%2B//rqWLFmiZ555Rrt27fK6Wlz017/%2BVfv27XO%2BP3funObMmaP4%2BHi99tprio2N1X333adz5855cJXNr7CwUMOHD9f%2B/fudr%2BXLl3tlPZYvX64PPvhAL7zwglavXq0///nPys7O9spaNDsDbdK3335r9O/f3zhw4ICzbd26dcaMGTM8uKqWU1BQYNxxxx3Gr371K6NPnz7OOnzwwQdGTEyM8e233zo/e9dddxlr16711FKbVWFhodGnTx/Dbrc723bt2mUMHTrU62px%2BvRp43e/%2B51x5swZZ1tiYqKxePFir6uFYRhGWVmZcfPNNxsJCQnGI488YhiGYWzbts0YMWKEUVdXZxiGYdTV1Rm33nqrsWPHDk8utdk9/PDDxurVq%2Bu1e1s9ysrKjOuuu844ePCgs%2B25554zHn30Ua%2BrRUvgDFYblZ%2Bfr5qaGsXGxjrb4uLiZLPZVFdX58GVtYyPPvpIgwYNUnZ2tlu7zWbTddddp6CgIGdbXFyccnNzW3qJLSI8PFzr169XWFiYW/vZs2e9rhYRERFas2aNOnToIMMwlJOTo0OHDmngwIFeVwtJ%2BuMf/6jx48erd%2B/ezjabzaa4uDj5%2BPhIknx8fDRgwIB2XQdJOnbsmHr06FGv3dvqkZOTow4dOmjgwIHOtjlz5igtLc3ratESCFhtlN1uV2hoqPz9/Z1tYWFhqqqqUnl5uQdX1jKmT5%2BuBQsWyGq1urXb7XZFRES4tXXu3FnFxcUtubwWExISomHDhjnf19XV6aWXXtLgwYO9rhbfNWLECE2fPl2xsbEaNWqU19Xiww8/1D//%2BU898MADbu3eVgfpwmX0L774Qvv379eoUaM0cuRIrVq1StXV1V5Xj6KiInXr1k1vvPGGRo8erV/%2B8pdat26d6urqvK4WLcHi6QWgaRwOh1u4kuR8X11d7YkltQqXq4u31CQjI0NHjx7V9u3btWnTJq%2Btxdq1a1VaWqrU1FSlpaV51d%2BLqqoqLV68WIsWLVJgYKBbnzfV4aKTJ08693vNmjX6%2BuuvtXz5clVWVnpdPc6dO6evvvpKr776qtLS0mS327Vo0SJZrVavq0VLIGC1UQEBAfX%2B4l98//3/qHqTgICAemfwqqurvaImGRkZ2rx5s5588kn16dPHq2vRv39/SRfCxty5c5WQkCCHw%2BH2mfZai8zMTF1//fVuZzYvutx/N9pjHS7q1q2bDh48qKuuuko%2BPj7q16%2Bf6urqNG/ePA0cONCr6mGxWHT27FmtXr1a3bp1k3QhgL7yyiu65pprvKoWLYGA1UZFRkaqrKxMNTU1slgufBvtdrsCAwMVEhLi4dV5TmRkpAoLC93aSktL6536bm%2BWLVumV155RRkZGRo1apQk76tFaWmpcnNzNXLkSGdb7969df78eYWHh%2Bv48eP1Pt8ea/HXv/5VpaWlzvszLx4033rrLY0bN06lpaVun2%2Bvdfiujh07ur3v1auXqqqqFB4e7lX1CA8PV0BAgDNcSdLPfvYznTp1SgMHDvSqWrQE7sFqo/r16yeLxeJ2A2JOTo769%2B8vX1/v/bZGR0frX//6lyorK51tOTk5io6O9uCqmldmZqZeffVVPfHEExo7dqyz3dtq8fXXXyspKUmnT592th05ckSdOnVSXFyc19Riy5Yt2rVrl9544w298cYbGjFihEaMGKE33nhD0dHR%2Bvjjj53PPTIMQ4cPH26Xdbjovffe06BBg9zOYH766afq2LGj4uLivKoe0dHRqqqq0hdffOFsO378uLp16%2BaVfzeam/ceids4q9WqCRMmKDU1VXl5edq7d682bNigmTNnenppHjVw4EB16dJFKSkpKigoUFZWlvLy8jRp0iRPL61ZHDt2TE8//bR%2B85vfKC4uTna73fnytlr0799fUVFRWrBggQoLC7Vv3z5lZGTot7/9rVfVolu3brrmmmucr%2BDgYAUHB%2Buaa67R6NGjVVFRoRUrVqiwsFArVqyQw%2BHQmDFjPL3sZhMbG6uAgAA99thjOn78uPbt26f09HTde%2B%2B9XlePnj176pZbblFKSory8/P13nvvKSsrS9OmTfO6WrQIzz0hAj/WuXPnjPnz5xsxMTHG0KFDjY0bN3p6SR7x3edgGYZhfPnll8add95pXH/99cbYsWON999/34Ora17PPfec0adPn0u%2BDMO7amEYhlFcXGwkJiYaAwYMMIYMGWI888wzzuf6eFstLnrkkUecz8EyDMOw2WzGhAkTjP79%2BxuTJk0y/vWvf3lwdS3j888/N2bNmmXExMQYQ4YMMf70pz85/154Wz0qKiqMefPmGTExMcZNN93k1bVobj6G8f/PBwIAAMAUXCIEAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAw2f8Dcm0OVU1SN1YAAAAASUVORK5CYII%3D"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common-6191896759545839589">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">0.0</td>
<td class="number">1699</td>
<td class="number">0.3%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">64.9545</td>
<td class="number">581</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">64.9516</td>
<td class="number">573</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">64.948</td>
<td class="number">563</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">64.9285</td>
<td class="number">505</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">64.95515</td>
<td class="number">269</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">64.9558</td>
<td class="number">268</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">64.95412</td>
<td class="number">268</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">64.95518</td>
<td class="number">267</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">64.95512</td>
<td class="number">267</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (256555)</td>
<td class="number">563607</td>
<td class="number">98.8%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">1433</td>
<td class="number">0.3%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme-6191896759545839589">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">-0.1859523</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.1858027</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.1857167</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.1854879</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.1854812</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">64.98315</td>
<td class="number">3</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">64.98316</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:34%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">64.98317</td>
<td class="number">2</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:67%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">64.98318</td>
<td class="number">3</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">64.98319</td>
<td class="number">2</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:67%">&nbsp;</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4">DIC88023.PV<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>318696</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>56.0%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.2%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1307</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>52.465</td>
</tr>
<tr>
<th>Minimum</th>
<td>-1.0737</td>
</tr>
<tr>
<th>Maximum</th>
<td>77.728</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-7074670060742372479">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAARtJREFUeJzt3MEJwkAQQFEjlmQR9uQ5PVlEelobkI8KmiW8dw/M5e%2BSw84yxhgn4KXz3gPAzC57D8D/Xe%2BPj7/Z1tsPJpmfGwSCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgr1YB/DNnive4waBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBMN2b9G/eV2/r7QeTwISBcBxHOOwEMhkbSuayjDHG3kPArPykQxAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQHgCfOsUZbLPW1EAAAAASUVORK5CYII%3D">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives-7074670060742372479,#minihistogram-7074670060742372479"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives-7074670060742372479">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles-7074670060742372479"
aria-controls="quantiles-7074670060742372479" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram-7074670060742372479" aria-controls="histogram-7074670060742372479"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common-7074670060742372479" aria-controls="common-7074670060742372479"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme-7074670060742372479" aria-controls="extreme-7074670060742372479"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles-7074670060742372479">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>-1.0737</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>35.523</td>
</tr>
<tr>
<th>Q1</th>
<td>53.834</td>
</tr>
<tr>
<th>Median</th>
<td>54.826</td>
</tr>
<tr>
<th>Q3</th>
<td>55.839</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>56.364</td>
</tr>
<tr>
<th>Maximum</th>
<td>77.728</td>
</tr>
<tr>
<th>Range</th>
<td>78.802</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>2.0041</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>12.142</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.23143</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>12.703</td>
</tr>
<tr>
<th>Mean</th>
<td>52.465</td>
</tr>
<tr>
<th>MAD</th>
<td>5.4146</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>-3.3494</td>
</tr>
<tr>
<th>Sum</th>
<td>29852000</td>
</tr>
<tr>
<th>Variance</th>
<td>147.42</td>
</tr>
<tr>
<th>Memory size</th>
<td>4.4 MiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram-7074670060742372479">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzs3X9UVHXi//HXwCww6JKowIp68qOtPyIdECJbta/w0dTykyapn36paasVyKdTaiHlb2UXtNTFH5k/0rQi0jLZcs/acW2tNBcDMpdW7Yc/gaEgNBEE5vuHx9md1ES8Mszt%2BThnjs77Pffe92tm1n115zJYnE6nUwAAADCMj6cXAAAAYDYULAAAAINRsAAAAAxGwQIAADAYBQsAAMBgFCwAAACDUbAAAAAMRsECAAAwGAULAADAYBQsAAAAg1GwAAAADEbBAgAAMBgFCwAAwGAULAAAAINRsAAAAAxGwQIAADAYBQsAAMBgFCwAAACDUbAAAAAMRsECAAAwGAULAADAYBQsAAAAg1GwAAAADEbBAgAAMBgFCwAAwGAULAAAAINRsAAAAAxGwQIAADAYBQsAAMBgFCwAAACDUbAAAAAMRsECAAAwGAULAADAYBQsAAAAg1GwAAAADEbBAgAAMBgFCwAAwGAULAAAAINRsAAAAAxm9fQCfikcjlONdiwfH4tatmym77//UXV1zkY7bmMwczbJ3PnI5r3MnI9s3qu%2B%2BUJCft2Iq/o3zmCZkI%2BPRRaLRT4%2BFk8vxXBmziaZOx/ZvJeZ85HNezX1fBQsAAAAg1GwAAAADEbBAgAAMBgFCwAAwGAULAAAAINRsAAAAAxGwQIAADAYBQsAAMBgFCwAAACDUbAAAAAM5tGC9e2332r8%2BPGKiopSv379tGrVKtfc3Llz1aVLF7fbhg0bXPM5OTnq37%2B/7Ha7EhMT9f3337vmnE6nFixYoF69eik2Nlbp6emqq6tzzZeVlWnSpEmKiopSfHy8tmzZ4rauAwcOaMSIEbLb7UpISND%2B/fuv47MAAADMxmMFq66uThMmTFBwcLDefvttzZo1S8uXL9fWrVslSYcPH9bTTz%2BtXbt2uW4JCQmSpIKCAqWmpiopKUlZWVmqqKhQSkqKa99r165VTk6OMjMztWTJEm3dulVr1651zaekpOjUqVPKysrS448/rueee04FBQWSpDNnzmjChAmKiYnR5s2bFRUVpYkTJ%2BrMmTON%2BOwAAABv5rGCVVpaqm7dumnmzJnq0KGD/t//%2B3%2B6/fbblZubK%2Bl8wbr55psVEhLiutlsNknShg0bNHjwYA0bNkxdu3ZVenq6du7cqaNHj0qS1q9fr%2BTkZMXExKhXr16aPHmyNm7cKEk6cuSIduzYoblz56pz584aMWKE7rnnHr322muSpPfee0/%2B/v6aOnWqOnXqpNTUVDVr1kzbtm3zwLMEAAC8kdVTBw4NDdWiRYsknf9Ib9%2B%2Bfdq7d69mzJih06dPq7i4WB06dLjktvn5%2Bfr973/vut%2BmTRuFh4crPz9ffn5%2BOnnypG699VbXfHR0tI4fP66SkhLl5%2BerTZs2ateundv8Sy%2B95Np3dHS0LJbzv53bYrGoZ8%2BeysvL0/Dhw41%2BGgDgF23woo88vYSr8v6TvT29BHgJjxWs/xQfH68TJ04oLi5OAwcO1P79%2B2WxWLRixQp9%2BOGHatGihR555BHde%2B%2B9kqSSkhKFhoa67aNVq1YqKiqSw%2BGQJLf51q1bS5Jr/lLbFhcXS5IcDoduuummi%2BYPHjxY7zwlJSWudVxgtQZedNzrxdfXx%2B1PMzFzNsnc%2Bcjmvcye72pYrd7zHJj9dWvq%2BZpEwVqyZIlKS0s1c%2BZMpaWlKSIiQhaLRR07dtRDDz2kvXv36vnnn1fz5s01YMAAnT17Vn5%2Bfm778PPzU3V1tc6ePeu6/59zklRdXa3KysrLbivpivP1kZWVpczMTLexxMREJScn13sfRggKsjXq8RqTmbNJ5s5HNu9l9nz1ERzczNNLuGpmf92aar4mUbC6d%2B8uSaqqqtLkyZO1b98%2BxcXFqUWLFpKkrl276ptvvtHrr7%2BuAQMGyN/f/6LCU11dLZvN5lam/P39XX%2BXJJvNdtltAwICJOmK8/UxatQoxcfHu41ZrYEqK/ux3vu4Fr6%2BPgoKsqmiolK1tXVX3sCLmDmbZO58ZPNeZs93NRrr33EjmP11q28%2BT5VijxWs0tJS5eXlqX///q6xm266SefOndPp06fVsmVLt8d37NhRu3fvliSFhYWptLT0ov2FhIQoLCxM0vmP%2Bi5cZ3Xh47oL85fb9uf2fTUf74WGhl70eIfjlGpqGvcNXltb1%2BjHbCxmziaZOx/ZvJfZ89WHN%2BY3%2B%2BvWVPN57IPLY8eOKSkpyXXtkyTt379fLVu21KuvvqqxY8e6Pb6wsFAdO3aUJNntdtdPG0rSyZMndfLkSdntdoWFhSk8PNxtPjc3V%2BHh4QoNDVVkZKSOHz%2BuoqIit/nIyEjXvj/77DM5nU5J/74A3263G/4cAAAAc/JYwerevbsiIiI0bdo0HTp0SDt37lRGRoYee%2BwxxcXFae/evVq9erWOHDmi1157Te%2B8847GjRsnSbr//vu1ZcsWZWdnq7CwUFOnTlW/fv3Uvn171/yCBQu0Z88e7dmzRwsXLtTo0aMlSe3bt1efPn00ZcoUFRYWKjs7Wzk5OXrwwQclSYMGDVJFRYXmzZunQ4cOad68eaqsrNTgwYM980QBAACv47GPCH19fbVs2TLNmTNHo0aNks1m08MPP6zRo0fLYrFo8eLFWrJkiRYvXqy2bdtq4cKFioqKkiRFRUVp9uzZWrJkiX744Qf17t1bc%2BbMce17/Pjx%2Bu6775SUlCRfX1/dd999bmfE0tPTlZqaqpEjRyokJETz589Xjx49JEnNmzfXSy%2B9pBkzZujNN99Uly5dtHLlSgUGBjbq8wMAALyXxXnhszBcVw7HqUY7ltXqo%2BDgZior%2B7FJfi59LcycTTJ3PrJ5r%2BuZj%2B/Bun54X54XEvLrRlzVvzXNL48AAADwYhQsAAAAg1GwAAAADEbBAgAAMBgFCwAAwGAULAAAAINRsAAAAAxGwQIAADAYBQsAAMBgFCwAAACDUbAAAAAMRsECAAAwGAULAADAYBQsAAAAg1GwAAAADEbBAgAAMBgFCwAAwGAULAAAAINRsAAAAAxGwQIAADAYBQsAAMBgFCwAAACDUbAAAAAMRsECAAAwGAULAADAYBQsAAAAg1GwAAAADEbBAgAAMBgFCwAAwGAULAAAAINRsAAAAAzm0YL17bffavz48YqKilK/fv20atUq19zRo0c1duxYRUZG6q677tKuXbvctv344481ZMgQ2e12jR49WkePHnWbf%2BWVV9S3b19FRUVp2rRpqqysdM1VVVVp2rRpiomJUZ8%2BfbRmzRq3ba90bAAAgJ/jsYJVV1enCRMmKDg4WG%2B//bZmzZql5cuXa%2BvWrXI6nUpMTFTr1q21adMmDR06VElJSTpx4oQk6cSJE0pMTNTw4cP11ltvqWXLlnriiSfkdDolSX/5y1%2BUmZmp2bNna926dcrPz1dGRobr2Onp6dq/f7/WrVunGTNmKDMzU9u2bZOkKx4bAADgSqyeOnBpaam6deummTNnqnnz5urQoYNuv/125ebmqnXr1jp69KjeeOMNBQYGqlOnTvrkk0%2B0adMmTZo0SdnZ2brllls0btw4SVJaWpp69%2B6tTz/9VLfddpvWr1%2BvMWPGKC4uTpI0a9YsjR8/XlOmTJHT6VR2drZefvllRUREKCIiQgcPHtTGjRs1aNAg7d69%2B2ePDQAAcCUeO4MVGhqqRYsWqXnz5nI6ncrNzdXevXsVGxur/Px83XzzzQoMDHQ9Pjo6Wnl5eZKk/Px8xcTEuOZsNpsiIiKUl5en2tpaff75527zkZGROnfunAoLC1VYWKiamhpFRUW57Ts/P191dXVXPDYAAMCVeOwM1n%2BKj4/XiRMnFBcXp4EDB2r%2B/PkKDQ11e0yrVq1UVFQkSXI4HJedr6ioUFVVldu81WpVixYtVFRUJB8fHwUHB8vPz88137p1a1VVVam8vPxn911fJSUlcjgcbmNWa%2BBF%2B71efH193P40EzNnk8ydj2zey%2Bz5robV6j3Pgdlft6aer0kUrCVLlqi0tFQzZ85UWlqaKisr3QqQJPn5%2Bam6ulqSfnb%2B7NmzrvuXmnc6nZeck6Tq6uorHrs%2BsrKylJmZ6TaWmJio5OTkeu/DCEFBtkY9XmMyczbJ3PnI5r3Mnq8%2BgoObeXoJV83sr1tTzdckClb37t0lnf/pvsmTJyshIcHtp/6k8%2BUnICBAkuTv739R4amurlZQUJD8/f1d9386b7PZVFtbe8k5SQoICJC/v7/Ky8sve%2Bz6GDVqlOLj493GrNZAlZX9WO99XAtfXx8FBdlUUVGp2tq6RjlmYzFzNsnc%2Bcjmvcye72o01r/jRjD761bffJ4qxR69yD0vL0/9%2B/d3jd100006d%2B6cQkJC9NVXX130%2BAsfsYWFham0tPSi%2BW7duqlFixby9/dXaWmpOnXqJEmqqalReXm5QkJC5HQ6VVZWppqaGlmt5%2BM7HA4FBAQoKChIYWFhOnTo0GWPXR%2BhoaEXPd7hOKWamsZ9g9fW1jX6MRuLmbNJ5s5HNu9l9nz14Y35zf66NdV8Hvvg8tixY0pKSlJxcbFrbP/%2B/WrZsqWio6P1xRdfuD7uk6Tc3FzZ7XZJkt1uV25urmuusrJSBw4ckN1ul4%2BPj7p37%2B42n5eXJ6vVqq5du6pbt26yWq1uF63n5uaqe/fu8vHxkd1u/9ljAwAAXInHClb37t0VERGhadOm6dChQ9q5c6cyMjL02GOPKTY2Vm3atFFKSooOHjyolStXqqCgQPfdd58kKSEhQfv27dPKlSt18OBBpaSkqF27drrtttskSQ888IBWr16t7du3q6CgQDNnztTIkSNls9lks9k0bNgwzZw5UwUFBdq%2BfbvWrFmj0aNHS9IVjw0AAHAlHitYvr6%2BWrZsmWw2m0aNGqXU1FQ9/PDDGj16tGvO4XBo%2BPDhevfdd7V06VKFh4dLktq1a6c//elP2rRpk%2B677z6Vl5dr6dKlslgskqS7775bEydO1PTp0zVu3Dj16NFDU6ZMcR07JSVFERERGjNmjGbNmqVJkybpzjvvdFvX5Y4NAABwJRbnha8/x3XlcJxqtGNZrT4KDm6msrIfm%2BTn0tfCzNkkc%2Bcjm/e6nvkGL/rI0P1db%2B8/2dvTS6g33pfnhYT8uhFX9W9N88sjAAAAvBgFCwAAwGAULAAAAINRsAAAAAxGwQIAADAYBQsAAMBgFCwAAACDUbAAAAAMRsECAAAwGAULAADAYBQsAAAAg1GwAAAADEbBAgAAMBgFCwAAwGAULAAAAINRsAAAAAxGwQIAADAYBQsAAMBgFCwAAACDUbAAAAAMRsECAAAwGAULAADAYBQsAAAAg1GwAAAADEbBAgAAMBgFCwAAwGAULAAAAINRsAAAAAxGwQIAADAYBQsAAMBgFCwAAACDeaxgFRcXKzk5WbGxserbt6/S0tJUVVUlSZo7d666dOnidtuwYYNr25ycHPXv3192u12JiYn6/vvvXXNOp1MLFixQr169FBsbq/T0dNXV1bnmy8rKNGnSJEVFRSk%2BPl5btmxxW9eBAwc0YsQI2e12JSQkaP/%2B/df5mQAAAGbjkYLldDqVnJysyspKbdy4US%2B%2B%2BKJ27NihRYsWSZIOHz6sp59%2BWrt27XLdEhISJEkFBQVKTU1VUlKSsrKyVFFRoZSUFNe%2B165dq5ycHGVmZmrJkiXaunWr1q5d65pPSUnRqVOnlJWVpccff1zPPfecCgoKJElnzpzRhAkTFBMTo82bNysqKkoTJ07UmTNnGvHZAQAA3s4jBeurr75SXl6e0tLS9Nvf/lYxMTFKTk5WTk6OpPMF6%2Babb1ZISIjrZrPZJEkbNmzQ4MGDNWzYMHXt2lXp6enauXOnjh49Kklav369kpOTFRMTo169emny5MnauHGjJOnIkSPasWOH5s6dq86dO2vEiBG655579Nprr0mS3nvvPfn7%2B2vq1Knq1KmTUlNT1axZM23bts0DzxIAAPBWHilYISEhWrVqlVq3bu02fvr0aZ0%2BfVrFxcXq0KHDJbfNz89XTEyM636bNm0UHh6u/Px8FRcX6%2BTJk7r11ltd89HR0Tp%2B/LhKSkqUn5%2BvNm3aqF27dm7zn332mWvf0dHRslgskiSLxaKePXsqLy/PqOgAAOAXwCMFKygoSH379nXdr6ur04YNG9SrVy8dPnxYFotFK1as0B133KF77rlHb7/9tuuxJSUlCg0Nddtfq1atVFRUJIfDIUlu8xdK3IX5S21bXFwsSZedLyoqMiA1AAD4pbB6egGSlJGRoQMHDuitt97SF198IYvFoo4dO%2Bqhhx7S3r179fzzz6t58%2BYaMGCAzp49Kz8/P7ft/fz8VF1drbNnz7ru/%2BecJFVXV6uysvKy20q64nx9lZSUuMreBVZr4EXl7Xrx9fVx%2B9NMzJxNMnc%2Bsnkvs%2Be7Glar9zwHZn/dmno%2BjxesjIwMrVu3Ti%2B%2B%2BKI6d%2B6s3/72t4qLi1OLFi0kSV27dtU333yj119/XQMGDJC/v/9Fhae6ulo2m82tTPn7%2B7v%2BLkk2m%2B2y2wYEBEjSFefrKysrS5mZmW5jiYmJSk5Ovqr9XKugIFujHq8xmTmbZO58ZPNeZs9XH8HBzTy9hKtm9tetqebzaMGaM2eOXn/9dWVkZGjgwIGSzl/3dKFcXdCxY0ft3r1bkhQWFqbS0lK3%2BdLSUoWEhCgsLEzS%2BY/6LlxndeFM0oX5y237c/u%2B2jNPo0aNUnx8vNuY1RqosrIfr2o/DeXr66OgIJsqKipVW1t35Q28iJmzSebORzbvZfZ8V6Ox/h03gtlft/rm81Qp9ljByszM1BtvvKEXXnhBgwYNco0vXrxYn332mV555RXXWGFhoTp27ChJstvtys3N1fDhwyVJJ0%2Be1MmTJ2W32xUWFqbw8HDl5ua6ClZubq7Cw8MVGhqqyMhIHT9%2BXEVFRfrNb37jmo%2BMjHTt%2B%2BWXX5bT6ZTFYpHT6dS%2Bffv02GOPXVW20NDQi0qZw3FKNTWN%2Bwavra1r9GM2FjNnk8ydj2zey%2Bz56sMb85v9dWuq%2BTzyweXhw4e1bNky/f73v1d0dLQcDofrFhcXp71792r16tU6cuSIXnvtNb3zzjsaN26cJOn%2B%2B%2B/Xli1blJ2drcLCQk2dOlX9%2BvVT%2B/btXfMLFizQnj17tGfPHi1cuFCjR4%2BWJLVv3159%2BvTRlClTVFhYqOzsbOXk5OjBBx%2BUJA0aNEgVFRWaN2%2BeDh06pHnz5qmyslKDBw/2xNMEAAC8lEfOYH3wwQeqra3V8uXLtXz5cre5L7/8UosXL9aSJUu0ePFitW3bVgsXLlRUVJQkKSoqSrNnz9aSJUv0ww8/qHfv3pozZ45r%2B/Hjx%2Bu7775TUlKSfH19dd9992ns2LGu%2BfT0dKWmpmrkyJEKCQnR/Pnz1aNHD0lS8%2BbN9dJLL2nGjBl688031aVLF61cuVKBgYHX/0kBAACmYXE6nU5PL%2BKXwOE41WjHslp9FBzcTGVlPzbJ06bXwszZJHPnI5v3up75Bi/6yND9XW/vP9nb00uoN96X54WE/LoRV/VvTfNnGwEAALwYBQsAAMBgFCwAAACDUbAAAAAMRsECAAAwGAULAADAYBQsAAAAg1GwAAAADEbBAgAAMBgFCwAAwGAULAAAAINRsAAAAAxGwQIAADAYBQsAAMBgFCwAAACDUbAAAAAMRsECAAAwWIMK1ogRI/TGG2/o1KlTRq8HAADA6zWoYPXq1UsrVqxQnz599NRTT2nXrl1yOp1Grw0AAMArNahgPf3009qxY4eWLVsmX19fTZo0Sf369dOLL76or7/%2B2ug1AgAAeBVrQze0WCzq3bu3evfurcrKSr366qtatmyZVq5cqZ49e2rMmDG68847jVwrAACAV2hwwZKkkpISvfvuu3r33Xf1r3/9Sz179tS9996roqIiPffcc9q7d69SU1ONWisAAIBXaFDB2rJli7Zs2aI9e/aoZcuWGjZsmJYsWaIOHTq4HtOmTRvNmzePggUAAH5xGlSwUlNTFRcXp6VLl%2BqOO%2B6Qj8/Fl3J17NhRDz300DUvEAAAwNs0qGB9%2BOGHCg4OVnl5uatcFRQUKCIiQr6%2BvpKknj17qmfPnsatFAAAwEs06KcIT58%2BrUGDBunll192jU2YMEFDhw7VyZMnDVscAACAN2pQwZo/f75uvPFGPfLII66x9957T23atFFaWpphiwMAAPBGDSpY//jHP/Tss88qJCTENdayZUtNnTpVu3fvNmxxAAAA3qhBBctqtaqiouKi8crKSr7RHQAA/OI1qGDdcccdmjt3ro4cOeIaO3r0qNLS0tS3b1/DFgcAAOCNGvRThM8884weeeQRDRw4UEFBQZKkiooKRUREKCUlxdAFAgAAeJsGncFq1aqV3n77ba1cuVITJ05UYmKiVq9erezsbLfrsn5OcXGxkpOTFRsbq759%2ByotLU1VVVWSzp8NGzt2rCIjI3XXXXdp165dbtt%2B/PHHGjJkiOx2u0aPHq2jR4%2B6zb/yyivq27evoqKiNG3aNFVWVrrmqqqqNG3aNMXExKhPnz5as2aN27ZXOjYAAMCVNKhgSZKvr6/69u2rcePGafTo0frd734ni8VSr22dTqeSk5NVWVmpjRs36sUXX9SOHTu0aNEiOZ1OJSYmqnXr1tq0aZOGDh2qpKQknThxQpJ04sQJJSYmavjw4XrrrbfUsmVLPfHEE65rv/7yl78oMzNTs2fP1rp165Sfn6%2BMjAzXsdPT07V//36tW7dOM2bMUGZmprZt2%2BZa188dGwAAoD4a9BGhw%2BHQokWLtG/fPp07d%2B6iC9s/%2BOCDn93%2Bq6%2B%2BUl5enj766CO1bt1akpScnKw//vGPuuOOO3T06FG98cYbCgwMVKdOnfTJJ59o06ZNmjRpkrKzs3XLLbdo3LhxkqS0tDT17t1bn376qW677TatX79eY8aMUVxcnCRp1qxZGj9%2BvKZMmSKn06ns7Gy9/PLLioiIUEREhA4ePKiNGzdq0KBB2r17988eGwAAoD4aVLCef/557d%2B/X3fffbd%2B/etfX/X2ISEhWrVqlatcXXD69Gnl5%2Bfr5ptvVmBgoGs8OjpaeXl5kqT8/HzFxMS45mw2myIiIpSXl6eYmBh9/vnnSkpKcs1HRkbq3LlzKiwslNPpVE1NjaKiotz2vWLFCtXV1V3x2AAAAPXRoIK1e/durVq1yq3oXI2goCC3nzasq6vThg0b1KtXLzkcDoWGhro9vlWrVioqKpKkn52vqKhQVVWV27zValWLFi1UVFQkHx8fBQcHy8/PzzXfunVrVVVVqby8/IrHBgAAqI8GFazAwEC1atXKsEVkZGTowIEDeuutt/TKK6%2B4FSBJ8vPzU3V1taTz37V1ufmzZ8%2B67l9q3ul0XnJOkqqrq39231ejpKREDofDbcxqDbyovF0vvr4%2Bbn%2BaiZmzSebORzbvZfZ8V8Nq9Z7nwOyvW1PP16CCNXToUK1atUqzZ892/XLnhsrIyNC6dev04osvqnPnzvL391d5ebnbY6qrqxUQECBJ8vf3v6jwVFdXKygoSP7%2B/q77P5232Wyqra295JwkBQQEXPHY9ZWVlaXMzEy3scTERCUnJ1/Vfq5VUJCtUY/XmMycTTJ3PrJ5L7Pnq4/g4GaeXsJVM/vr1lTzNahglZeXKycnR3/729/Uvn37i876rF%2B/vl77mTNnjl5//XVlZGRo4MCBkqSwsDAdOnTI7XGlpaWusz9hYWEqLS29aL5bt25q0aKF/P39VVpaqk6dOkmSampqVF5erpCQEDmdTpWVlammpkZW6/noDodDAQEBCgoKuuKx62vUqFGKj493G7NaA1VW9uNV7aehfH19FBRkU0VFpWpr6xrlmI3FzNkkc%2Bcjm/cye76r0Vj/jhvB7K9bffN5qhQ3qGBJ0pAhQ67pwJmZmXrjjTf0wgsvaNCgQa5xu92ulStX6uzZs64zR7m5uYqOjnbN5%2Bbmuh5fWVmpAwcOKCkpST4%2BPurevbtyc3N12223SZLy8vJktVrVtWtXSeevybpwQfyFfXfv3l0%2BPj5XPHZ9hYaGXlTKHI5Tqqlp3Dd4bW1dox%2BzsZg5m2TufGTzXmbPVx/emN/sr1tTzdeggpWWlnZNBz18%2BLCWLVumCRMmKDo62u16pdjYWLVp00YpKSl64okntGPHDhUUFLiOmZCQoNWrV2vlypWKi4vT0qVL1a5dO1eheuCBBzR9%2BnR17txZoaGhmjlzpkaOHCmb7fwpxGHDhmnmzJmaP3%2B%2BSkpKtGbNGte%2Br3RsAACA%2BmjwGaySkhK9%2Beab%2BvrrrzVt2jTt3btXnTt3VseOHa%2B47QcffKDa2lotX75cy5cvd5v78ssvtWzZMqWmpmr48OG68cYbtXTpUoWHh0uS2rVrpz/96U%2BaP3%2B%2Bli5dqqioKC1dutT1Jad33323jh8/runTp6u6ulp33nmnpkyZ4tp/SkqKZs6cqTFjxqh58%2BaaNGmS7rzzTknnvzz1544NAABQHxbnT78ltB6%2B/fZbjRw5Us2bN1dxcbHef/99ZWRk6O9//7teeeUV2e3267FWr%2BZwnGq0Y1mtPgoObqaysh%2Bb5GnTa2HmbJK585HNe13PfIMXfWTo/q6395/s7ekl1Bvvy/NCQq7%2B%2BzqN0KCfbfzDH/6g/v37a/v27frVr34lSXrhhRcUHx%2BvBQsWGLpAAAAAb9OggrVv3z498sgjbr970Gq16oknntCBAwcMWxwAAIA3alDBqqurU13dxafjfvzxx2v%2BXiwAAABv16CC1adPH7300ktuJau8vFwZGRnq1auXYYsDAADwRg0qWM8%2B%2B6z279%2BvPn36qKqqSo8//rji4uJ07NgxPfPMM0avEQAAwKs06GsawsLC9M477ygnJ0f//Oc/VVdXp/vvv19Dhw5V8%2BbNjV4jAACAV2nw92DZbDaNGDHCyLUAAACYQoMK1ujRo392vr6/ixAAAMCMGlSw2rZt63a/pqbgbTPGAAAgAElEQVRG3377rf71r39pzJgxhiwMAADAWxn6uwiXLl2qoqKia1oQAACAt2vQTxFeztChQ/X%2B%2B%2B8buUsAAACvY2jB%2Buyzz/iiUQAA8Itn2EXup0%2Bf1pdffqkHHnjgmhcFAADgzRpUsMLDw91%2BD6Ek/epXv9JDDz2ke%2B65x5CFAQAAeKsGFaw//OEPRq8DAADANBpUsPbu3Vvvx956660NOQQAAIDXalDBevjhh10fETqdTtf4T8csFov%2B%2Bc9/XusaAQAAvEqDCtaKFSs0d%2B5cTZkyRbGxsfLz89Pnn3%2Bu2bNn695779Vdd91l9DoBAAC8RoO%2BpiEtLU3Tp0/XwIEDFRwcrGbNmqlXr16aPXu2Xn/9dbVt29Z1AwAA%2BKVpUMEqKSm5ZHlq3ry5ysrKrnlRAAAA3qxBBSsyMlIvvPCCTp8%2B7RorLy9XRkaGbr/9dsMWBwAA4I0adA3Wc889p9GjR%2BuOO%2B5Qhw4d5HQ69c033ygkJETr1683eo0AgKsweNFHnl4C8IvXoILVqVMnvffee8rJydHhw4clSQ8%2B%2BKDuvvtu2Ww2QxcIAADgbRpUsCTphhtu0IgRI3Ts2DG1b99e0vlvcwcAAPila9A1WE6nUwsWLNCtt96qIUOGqKioSM8884xSU1N17tw5o9cIAADgVRpUsF599VVt2bJFM2bMkJ%2BfnySpf//%2B2r59uzIzMw1dIAAAgLdpUMHKysrS9OnTNXz4cNe3t991112aO3eutm7daugCAQAAvE2DCtaxY8fUrVu3i8a7du0qh8NxzYsCAADwZg0qWG3bttXnn39%2B0fiHH37ouuAdAADgl6pBP0U4fvx4zZo1Sw6HQ06nU5988omysrL06quv6tlnnzV6jQAAAF6lQQUrISFBNTU1Wr58uc6ePavp06erZcuWevLJJ3X//fcbvUYAAACv0qCClZOTo0GDBmnUqFH6/vvv5XQ61apVK6PXBgAA4JUadA3W7NmzXRezt2zZ8prLVXV1tYYMGaI9e/a4xubOnasuXbq43TZs2OCaz8nJUf/%2B/WW325WYmKjvv//eNXfhe7p69eql2NhYpaenq66uzjVfVlamSZMmKSoqSvHx8dqyZYvbeg4cOKARI0bIbrcrISFB%2B/fvv6Z8AADgl6VBBatDhw7617/%2BZcgCqqqq9NRTT%2BngwYNu44cPH9bTTz%2BtXbt2uW4JCQmSpIKCAqWmpiopKUlZWVmqqKhQSkqKa9u1a9cqJydHmZmZWrJkibZu3aq1a9e65lNSUnTq1CllZWXp8ccf13PPPaeCggJJ0pkzZzRhwgTFxMRo8%2BbNioqK0sSJE3XmzBlD8gIAAPNr0EeEXbt21eTJk7Vq1Sp16NBB/v7%2BbvNpaWn12s%2BhQ4f09NNPy%2Bl0XjR3%2BPBhjR8/XiEhIRfNbdiwQYMHD9awYcMkSenp6YqLi9PRo0fVvn17rV%2B/XsnJyYqJiZEkTZ48WYsXL9b48eN15MgR7dixQx988IHatWunzp07Ky8vT6%2B99pp69Oih9957T/7%2B/po6daosFotSU1P14Ycfatu2bRo%2BfPjVPlUAAOAXqEFnsL7%2B%2BmtFR0erWbNmcjgcOnbsmNutvj799FPddtttysrKchs/ffq0iouL1aFDh0tul5%2Bf7ypPktSmTRuFh4crPz9fxcXFOnnypG699VbXfHR0tI4fP66SkhLl5%2BerTZs2ateundv8Z5995tp3dHS06wtULRaLevbsqby8vHrnAgAAv2z1PoOVnp6upKQkBQYG6tVXXzXk4A888MAlxw8fPiyLxaIVK1boww8/VIsWLfTII4/o3nvvlSSVlJQoNDTUbZtWrVqpqKjIdW3Yf863bt1aklzzl9q2uLhYkuRwOHTTTTddNP/TjzB/TklJyUVfuGq1Bl503OvF19fH7U8zMXM2ydz5yAYzsFq95zU2%2B/uyqeerd8Fau3atxo8fr8DAQNfYhAkTNHfuXMOLw1dffSWLxaKOHTvqoYce0t69e/X888%2BrefPmGjBggM6ePev6HYgX%2BPn5qbq6WmfPnnXd/8856fzF9JWVlZfdVtIV5%2BsjKyvrot/JmJiYqOTk5HrvwwhBQbZGPV5jMnM2ydz5yAZvFhzczNNLuGpmf1821Xz1LliXuk5q7969qqqqMnRBkjRs2DDFxcWpRYsWks5f8/XNN9/o9ddf14ABA%2BTv739R4amurpbNZnMrUxeuDbvwWJvNdtltAwICJOmK8/UxatQoxcfHu41ZrYEqK/ux3vu4Fr6%2BPgoKsqmiolK1tXVX3sCLmDmbZO58ZIMZNNa/40Yw%2B/uyvvk8VYobdJH79WaxWFzl6oKOHTtq9%2B7dkqSwsDCVlpa6zZeWliokJERhYWGSzn/Ud%2BE6qwsf112Yv9y2P7fvqzlLFxoaetHjHY5Tqqlp3Dd4bW1dox%2BzsZg5m2TufGSDN/PG19fs78ummq9JfnC5ePFijR071m2ssLBQHTt2lCTZ7Xbl5ua65k6ePKmTJ0/KbrcrLCxM4eHhbvO5ubkKDw9XaGioIiMjdfz4cRUVFbnNR0ZGuvb92Wefuc7YOZ1O7du3T3a7/XrFBQAAJnNVBevCT9Zdb3Fxcdq7d69Wr16tI0eO6LXXXtM777yjcePGSZLuv/9%2BbdmyRdnZ2SosLNTUqVPVr18/1y%2Bavv/%2B%2B7VgwQLt2bNHe/bs0cKFCzV69GhJUvv27dWnTx9NmTJFhYWFys7OVk5Ojh588EFJ0qBBg1RRUaF58%2Bbp0KFDmjdvniorKzV48OBGyQ4AALzfVX1EOHfuXLfvvDp37pwyMjLUrJn755v1/R6sy%2BnRo4cWL16sJUuWaPHixWrbtq0WLlyoqKgoSVJUVJRmz56tJUuW6IcfflDv3r01Z84c1/bjx4/Xd999p6SkJPn6%2Buq%2B%2B%2B5zOyOWnp6u1NRUjRw5UiEhIZo/f7569OghSWrevLleeuklzZgxQ2%2B%2B%2Baa6dOmilStXul3cDwAA8HMszktdvX4JDz/8cL13atTXOJiJw3Gq0Y5ltfooOLiZysp%2BbJKfS18LM2eTzJ2PbI1n8KKPPL0E03r/yd6eXkK9NbX3pdHqmy8k5NeNuKp/q/cZLEoTAABA/TTJi9wBAAC8GQULAADAYBQsAAAAg1GwAAAADEbBAgAAMBgFCwAAwGAULAAAAINRsAAAAAxGwQIAADAYBQsAAMBgFCwAAACDUbAAAAAMRsECAAAwGAULAADAYBQsAAAAg1GwAAAADEbBAgAAMBgFCwAAwGAULAAAAINRsAAAAAxGwQIAADAYBQsAAMBgFCwAAACDUbAAAAAMRsECAAAwGAULAADAYBQsAAAAg1GwAAAADEbBAgAAMBgFCwAAwGAeL1jV1dUaMmSI9uzZ4xo7evSoxo4dq8jISN11113atWuX2zYff/yxhgwZIrvdrtGjR%2Bvo0aNu86%2B88or69u2rqKgoTZs2TZWVla65qqoqTZs2TTExMerTp4/WrFnjtu2Vjg0AAHAlHi1YVVVVeuqpp3Tw4EHXmNPpVGJiolq3bq1NmzZp6NChSkpK0okTJyRJJ06cUGJiooYPH6633npLLVu21BNPPCGn0ylJ%2Bstf/qLMzEzNnj1b69atU35%2BvjIyMlz7T09P1/79%2B7Vu3TrNmDFDmZmZ2rZtW72ODQAAUB8eK1iHDh3SyJEjdeTIEbfx3bt36%2BjRo5o9e7Y6deqkiRMnKjIyUps2bZIkZWdn65ZbbtG4ceP029/%2BVmlpaTp%2B/Lg%2B/fRTSdL69es1ZswYxcXFqUePHpo1a5Y2bdqkyspKnTlzRtnZ2UpNTVVERIQGDBigRx99VBs3bqzXsQEAAOrDYwXr008/1W233aasrCy38fz8fN18880KDAx0jUVHRysvL881HxMT45qz2WyKiIhQXl6eamtr9fnnn7vNR0ZG6ty5cyosLFRhYaFqamoUFRXltu/8/HzV1dVd8dgAAAD1YfXUgR944IFLjjscDoWGhrqNtWrVSkVFRVecr6ioUFVVldu81WpVixYtVFRUJB8fHwUHB8vPz88137p1a1VVVam8vPyKx66vkpISORwOtzGrNfCifV8vvr4%2Bbn%2BaiZmzSebORzaYgdXqPa%2Bx2d%2BXTT2fxwrW5VRWVroVIEny8/NTdXX1FefPnj3run%2BpeafTeck56fzF9lc6dn1lZWUpMzPTbSwxMVHJyclXtZ9rFRRka9TjNSYzZ5PMnY9s8GbBwc08vYSrZvb3ZVPN1%2BQKlr%2B/v8rLy93GqqurFRAQ4Jr/aeGprq5WUFCQ/P39Xfd/Om%2Bz2VRbW3vJOUkKCAi44rHra9SoUYqPj3cbs1oDVVb241Xtp6F8fX0UFGRTRUWlamvrGuWYjcXM2SRz5yMbzKCx/h03gtnfl/XN56lS3OQKVlhYmA4dOuQ2Vlpa6vp4LSwsTKWlpRfNd%2BvWTS1atJC/v79KS0vVqVMnSVJNTY3Ky8sVEhIip9OpsrIy1dTUyGo9H93hcCggIEBBQUFXPHZ9hYaGXrSNw3FKNTWN%2Bwavra1r9GM2FjNnk8ydj2zwZt74%2Bpr9fdlU8zW5Dy7tdru%2B%2BOIL18d9kpSbmyu73e6az83Ndc1VVlbqwIEDstvt8vHxUffu3d3m8/LyZLVa1bVrV3Xr1k1Wq9XtovXc3Fx1795dPj4%2BVzw2AABAfTS5ghUbG6s2bdooJSVFBw8e1MqVK1VQUKD77rtPkpSQkKB9%2B/Zp5cqVOnjwoFJSUtSuXTvddtttks5fPL969Wpt375dBQUFmjlzpkaOHCmbzSabzaZhw4Zp5syZKigo0Pbt27VmzRqNHj26XscGAACojyZXsHx9fbVs2TI5HA4NHz5c7777rpYuXarw8HBJUrt27fSnP/1JmzZt0n333afy8nItXbpUFotFknT33Xdr4sSJmj59usaNG6cePXpoypQprv2npKQoIiJCY8aM0axZszRp0iTdeeed9To2AABAfVicF74CHdeVw3Gq0Y5ltfooOLiZysp%2BbJKfS18LM2eTzJ2PbI1n8KKPPL0E03r/yd6eXkK9NbX3pdHqmy8k5NeNuKp/a3JnsAAAALwdBQsAAMBgFCwAAACDUbAAAAAMRsECAAAwGAULAADAYBQsAAAAg1GwAAAADEbBAgAAMBgFCwAAwGAULAAAAINRsAAAAAxGwQIAADAYBQsAAMBgFCwAAACDUbAAAAAMRsECAAAwGAULAADAYBQsAAAAg1GwAAAADEbBAgAAMBgFCwAAwGAULAAAAINRsAAAAAxGwQIAADAYBQsAAMBgFCwAAACDUbAAAAAMRsECAAAwGAULAADAYBQsAAAAgzXZgvXXv/5VXbp0cbslJydLkg4cOKARI0bIbrcrISFB%2B/fvd9s2JydH/fv3l91uV2Jior7//nvXnNPp1IIFC9SrVy/FxsYqPT1ddXV1rvmysjJNmjRJUVFRio%2BP15YtWxonMAAAMI0mW7AOHTqkuLg47dq1y3WbO3euzpw5owkTJigmJkabN29WVFSUJk6cqDNnzkiSCgoKlJqaqqSkJGVlZamiokIpKSmu/a5du1Y5OTnKzMzUkiVLtHXrVq1du9Y1n5KSolOnTikrK0uPP/64nnvuORUUFDR6fgAA4L2abME6fPiwOnfurJCQENctKChI7733nvz9/TV16lR16tRJqampatasmbZt2yZJ2rBhgwYPHqxhw4apa9euSk9P186dO3X06FFJ0vr165WcnKyYmBj16tVLkydP1saNGyVJR44c0Y4dOzR37lx17txZI0aM0D333KPXXnvNY88DAADwPk26YHXo0OGi8fz8fEVHR8tisUiSLBaLevbsqby8PNd8TEyM6/Ft2rRReHi48vPzVVxcrJMnT%2BrWW291zUdHR%2Bv48eMqKSlRfn6%2B2rRpo3bt2rnNf/bZZ9cpJQAAMKMmWbCcTqe%2B/vpr7dq1SwMHDlT//v21YMECVVdXy%2BFwKDQ01O3xrVq1UlFRkSSppKTksvMOh0OS3OZbt24tSa75S21bXFxseEYAAGBeVk8v4FJOnDihyspK%2Bfn5adGiRTp27Jjmzp2rs2fPusb/k5%2Bfn6qrqyVJZ8%2Bevez82bNnXff/c06Sqqurr7jv%2BiopKXGVuQus1sCLytv14uvr4/anmZg5m2TufGSDGVit3vMam/192dTzNcmC1bZtW%2B3Zs0c33HCDLBaLunXrprq6Ok2ZMkWxsbEXFZ7q6moFBARIkvz9/S85b7PZ3MqUv7%2B/6%2B%2BSZLPZLrvthX3XV1ZWljIzM93GEhMTXT8F2ViCgmyNerzGZOZskrnzkQ3eLDi4maeXcNXM/r5sqvmaZMGSpBYtWrjd79Spk6qqqhQSEqLS0lK3udLSUtfZobCwsEvOh4SEKCwsTJLkcDhc11ldONN0Yf5y216NUaNGKT4%2B3m3Mag1UWdmPV7WfhvL19VFQkE0VFZWqra278gZexMzZJHPnIxvMoLH%2BHTeC2d%2BX9c3nqVLcJAvW3//%2Bd02ePFl/%2B9vfZLOdb6b//Oc/1aJFC0VHR%2Bvll1%2BW0%2BmUxWKR0%2BnUvn379Nhjj0mS7Ha7cnNzNXz4cEnSyZMndfLkSdntdoWFhSk8PFy5ubmugpWbm6vw8HCFhoYqMjJSx48fV1FRkX7zm9%2B45iMjI69q/aGhoRd9HOhwnFJNTeO%2BwWtr6xr9mI3FzNkkc%2BcjG7yZN76%2BZn9fNtV8TfKDy6ioKPn7%2B%2Bu5557TV199pZ07dyo9PV2PPvqoBg0apIqKCs2bN0%2BHDh3SvHnzVFlZqcGDB0uS7r//fm3ZskXZ2dkqLCzU1KlT1a9fP7Vv3941v2DBAu3Zs0d79uzRwoULNXr0aElS%2B/bt1adPH02ZMkWFhYXKzs5WTk6OHnzwQY89FwAAwPs0yTNYzZs31%2BrVqzV//nwlJCSoWbNm%2Bt///V89%2BuijslgseumllzRjxgy9%2Beab6tKli1auXKnAwEBJ58vZ7NmztWTJEv3www/q3bu35syZ49r3%2BPHj9d133ykpKUm%2Bvr667777NHbsWNd8enq6UlNTNXLkSIWEhGj%2B/Pnq0aNHYz8FAADAi1mcTqfT04v4JXA4TjXasaxWHwUHN1NZ2Y9N8rTptTBzNsnc%2BcjWeAYv%2BsjTSzCt95/s7ekl1FtTe18arb75QkJ%2B3Yir%2Brcm%2BREhAACAN6NgAQAAGIyCBQAAYDAKFgAAgMEoWAAAAAajYAEAABiMggUAAGAwChYAAIDBKFgAAAAGo2ABAAAYjIIFAABgMAoWAACAwShYAAAABqNgAQAAGIyCBQAAYDAKFgAAgMEoWAAAAAazenoBuDaDF33k6SXU2/tP9vb0EgAAaBScwQIAADAYBQsAAMBgFCwAAACDUbAAAAAMRsECAAAwGAULAADAYBQsAAAAg/E9WAAAmFRM6jZPL6HezPZdiZzBAgAAMBgFCwAAwGAULAAAAINRsAAAAAxGwQIAADAYBQsAAMBgFKxLqKqq0rRp0xQTE6M%2BffpozZo1nl4SAADwInwP1iWkp6dr//79WrdunU6cOKFnnnlG4eHhGjRokKeXBsADBi/6yNNLAOBlKFg/cebMGWVnZ%2Bvll19WRESEIiIidPDgQW3cuJGCBQAA6oWC9ROFhYWqqalRVFSUayw6OlorVqxQXV2dfHz4VLWhvO0sgNm%2BVRgA0HgoWD/hcDgUHBwsPz8/11jr1q1VVVWl8vJytWzZ8or7KCkpkcPhcBuzWgMVGhpq%2BHpx/XhbIQRw/Vmt3vMf2b6%2B3rNW6eqf2wv5mmpOCtZPVFZWupUrSa771dXV9dpHVlaWMjMz3caSkpI0adIkYxb5H/4x7%2BKPLUtKSpSVlaVRo0aZrtSZOZtk7nxk815mzmf2bGN%2Bc9CU2aTz%2BdatW9Vk8zXN2udB/v7%2BFxWpC/cDAgLqtY9Ro0Zp8%2BbNbrdRo0YZvtbLcTgcyszMvOgsmhmYOZtk7nxk815mzkc279XU83EG6yfCwsJUVlammpoaWa3nnx6Hw6GAgAAFBQXVax%2BhoaFNsk0DAIDGwRmsn%2BjWrZusVqvy8vJcY7m5uerevTsXuAMAgHqhMfyEzWbTsGHDNHPmTBUUFGj79u1as2aNRo8e7emlAQAAL%2BE7c%2BbMmZ5eRFPTq1cvHThwQAsXLtQnn3yixx57TAkJCZ5e1lVp1qyZYmNj1axZM08vxXBmziaZOx/ZvJeZ85HNezXlfBan0%2Bn09CIAAADMhI8IAQAADEbBAgAAMBgFCwAAwGAULAAAAINRsAAAAAxGwQIAADAYBQsAAMBgFCwAAACDUbBMpqqqStOmTVNMTIz69OmjNWvWeHpJ16y6ulpDhgzRnj17XGNHjx7V2LFjFRkZqbvuuku7du3y4AqvXnFxsZKTkxUbG6u%2BffsqLS1NVVVVkrw/myR9%2B%2B23Gj9%2BvKKiotSvXz%2BtWrXKNWeGfBdMmDBBzz77rOv%2BgQMHNGLECNntdiUkJGj//v0eXF3D/PWvf1WXLl3cbsnJyZK8P191dbVmzZqlW2%2B9Vb/73e/0wgsv6MJ3bXtzts2bN1/0mnXp0kVdu3aV5N3ZLjh58qQmTpyonj17Kj4%2BXq%2B88oprrqnmo2CZTHp6uvbv369169ZpxowZyszM1LZt2zy9rAarqqrSU089pYMHD7rGnE6nEhMT1bp1a23atElDhw5VUlKSTpw44cGV1p/T6VRycrIqKyu1ceNGvfjii9qxY4cWLVrk9dkkqa6uThMmTFBwcLDefvttzZo1S8uXL9fWrVtNke%2BCP//5z9q5c6fr/pkzZzRhwgTFxMRo8%2BbNioqK0sSJE3XmzBkPrvLqHTp0SHFxcdq1a5frNnfuXFPkmzt3rj7%2B%2BGOtXr1aCxcu1JtvvqmsrCyvz3bhP1Qu3P72t7/pxhtv1OjRo70%2B2wVPPvmkAgMDtXnzZk2bNk2LFi3SX//616adzwnT%2BPHHH53du3d37t692zW2dOlS50MPPeTBVTXcwYMHnffcc4/zf/7nf5ydO3d25fr444%2BdkZGRzh9//NH12DFjxjiXLFniqaVelUOHDjk7d%2B7sdDgcrrGtW7c6%2B/Tp4/XZnE6ns7i42Pl///d/zlOnTrnGEhMTnTNmzDBFPqfT6SwrK3PecccdzoSEBOczzzzjdDqdzuzsbGd8fLyzrq7O6XQ6nXV1dc4BAwY4N23a5MmlXrWnn37auXDhwovGvT1fWVmZ8%2Babb3bu2bPHNfbSSy85n332Wa/P9lMrVqxw9u/f31lVVWWKbOXl5c7OnTs7v/zyS9dYUlKSc9asWU06H2ewTKSwsFA1NTWKiopyjUVHRys/P191dXUeXFnDfPrpp7rtttuUlZXlNp6fn6%2Bbb75ZgYGBrrHo6Gjl5eU19hIbJCQkRKtWrVLr1q3dxk%2BfPu312SQpNDRUixYtUvPmzeV0OpWbm6u9e/cqNjbWFPkk6Y9//KOGDh2qm266yTWWn5%2Bv6OhoWSwWSZLFYlHPnj29Ltvhw4fVoUOHi8a9PV9ubq6aN2%2Bu2NhY19iECROUlpbm9dn%2BU3l5uV5%2B%2BWU9/fTT8vPzM0W2gIAA2Ww2bd68WefOndNXX32lffv2qVu3bk06HwXLRBwOh4KDg%2BXn5%2Bcaa926taqqqlReXu7BlTXMAw88oGnTpslms7mNOxwOhYaGuo21atVKRUVFjbm8BgsKClLfvn1d9%2Bvq6rRhwwb16tXL67P9VHx8vB544AFFRUVp4MCBpsj3ySef6B//%2BIeeeOIJt3EzZHM6nfr666%2B1a9cuDRw4UP3799eCBQtUXV3t9fmOHj2qtm3b6p133tGgQYP03//931q6dKnq6uq8Ptt/ev311xUaGqpBgwZJMsf70t/fX9OnT1dWVpbsdrsGDx6sO%2B64QyNGjGjS%2BayeXgCMU1lZ6VauJLnuV1dXe2JJ18XlcnprxoyMDB04cEBvvfWWXnnlFVNlW7JkiUpLSzVz5kylpaV5/WtXVVWlGTNmaPr06QoICHCb8/ZsknTixAlXjkWLFunYsWOaO3euzp496/X5zpw5o2%2B//VZvvPGG0tLS5HA4NH36dNlsNq/PdoHT6VR2drYeffRR15hZsh0%2BfFhxcXF65JFHdPDgQc2ZM0e33357k85HwTIRf3//i95UF%2B7/9P8MvJm/v/9FZ%2BSqq6u9MmNGRobWrVunF198UZ07dzZVNknq3r27pPPFZPLkyUpISFBlZaXbY7wpX2Zmpm655Ra3M5AXXO5/f96STZLatm2rPXv26IYbbpDFYlG3bt1UV1enKVOmKDY21qvzWa1WnT59WgsXLlTbtm0lnS%2BUr7/%2Bum688UavznbB559/ruLiYt19992uMTO8Lz/55BO99dZb2rlzpwICAtS9e3cVFxdr%2BfLlat%2B%2BfZPNx0eEJhIWFqaysjLV1NS4xhwOhwICAhQUFOTBlRkrLCxMpaWlbmOlpaUXnSZu6ubMmaO1a9cqIyNDAwcOlGSObKWlpdq%2Bfbvb2E033aRz584pJCTEq/P9%2Bc9/1vbt2xUVFaWoqCht3bpVW7duVVRUlCleO0lq0aKF63oWSerUqZOqqqq8/rULCQmRv7%2B/q1xJ0n/913/p5MmTpnnt/v73vysmJkY33HCDa8wM2fbv368bb7zRrTTdfPPNOnHiRJPOR8EykW7duslqtbpd3Jebm6vu3bvLx8c8L7XdbtcXX3yhs2fPusZyc3Nlt9s9uKqrk5mZqTfeeEMvvPCC239tmiHbsWPHlJSUpOLiYtfY/2/n/l0a6cIojp8tRCSNWAgSIWBhoyFjAorEQoKFYpMijYiSQkGwVomksEmjpeCPFKbwHwjYihDFVjEoihMn2gl2KRSrZ4tdwyvvFrvLLDHh%2B4HbTPUcbjGHO8y9vr5WV1eXYrFYU%2Bc7PDzU0dGRisWiisWiEomEEomEisWiIpGILi8v6/cqmZkuLi6aJpv04wU9MjLy6ZTx9vZWnZ2disViTZ0vEono/f1d1Wq1/szzPAWDwXNLMTMAAAIfSURBVJbYO0kql8uKRqOfnrVCtu7ubj09PX06qfI8T729vV86X%2Bu8daGOjg4lk0ltbGyoXC7r%2BPhYBwcHmp%2Bfb/RovhoeHlZPT48ymYxc11U%2Bn1e5XFYqlWr0aL/l4eFBOzs7WlxcVCwW08vLS301ezbpx2fBgYEBra%2Bvq1KpqFQqaWtrS0tLS02fLxgMKhQK1VcgEFAgEFAoFNLk5KRqtZpyuZwqlYpyuZze3t40NTXV6LF/29DQkNrb25XNZuV5nkqlkjY3N7WwsND0%2Bfr6%2BjQ%2BPq5MJqO7uzudnZ0pn89rZmam6bN9cF3305%2BtkloiWyKRUFtbm7LZrKrVqk5OTrS3t6e5ubmvna8hl0Pgn3l9fbXV1VVzHMfGxsasUCg0eiRf/PceLDOzx8dHm52dtcHBQZuenrbz8/MGTvdn9vf3rb%2B//5fLrLmzfXh%2Bfrbl5WWLRqMWj8dtd3e3fk9NK%2BT7sLa2Vr8Hy8zs6urKksmkhcNhS6VSdnNz08Dp/s79/b2l02lzHMfi8bhtb2/X967Z89VqNVtZWTHHcWx0dLSlspmZhcNhOz09/d/zVsjmuq6l02mLRqM2MTFhhULhy%2B/dN7Of52oAAADwBZ8IAQAAfEbBAgAA8BkFCwAAwGcULAAAAJ9RsAAAAHxGwQIAAPAZBQsAAMBnFCwAAACfUbAAAAB8RsECAADwGQULAADAZxQsAAAAn1GwAAAAfPYdf%2BRkTWoJl1MAAAAASUVORK5CYII%3D"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common-7074670060742372479">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">55.1883</td>
<td class="number">158</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">55.7796</td>
<td class="number">158</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.6604</td>
<td class="number">32</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.6589</td>
<td class="number">31</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.7174</td>
<td class="number">25</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.6699</td>
<td class="number">25</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.6599</td>
<td class="number">25</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.6692</td>
<td class="number">25</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.6642</td>
<td class="number">24</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.6695</td>
<td class="number">22</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (318685)</td>
<td class="number">568468</td>
<td class="number">99.7%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">1307</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme-7074670060742372479">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">-1.073746</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-1.073635</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-1.073524</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-1.073413</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-1.073303</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">77.72832</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.72836</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.72841</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.72844</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.72849</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4">FI87208.PV<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>493049</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>86.7%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.2%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1308</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>34.747</td>
</tr>
<tr>
<th>Minimum</th>
<td>-11.662</td>
</tr>
<tr>
<th>Maximum</th>
<td>259.45</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="minihistogram6356932101363780280">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAAQxJREFUeJzt3cEJAkEQAEFPDMkgzMm3ORmEOY0JSKOi3HFU/Rfm0wzz2mVm5gC8dFx7ANiy09oD/ML5ev/4zeN2%2BcMk7I0NAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCYRf/pH/D3%2Bq8wwaBIBAIAoEgEAibO9K/OZ7hX2wQCMvMzNpDwFbZIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBCeZXUP%2BiL1ABEAAAAASUVORK5CYII%3D">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives6356932101363780280,#minihistogram6356932101363780280"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives6356932101363780280">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles6356932101363780280"
aria-controls="quantiles6356932101363780280" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram6356932101363780280" aria-controls="histogram6356932101363780280"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common6356932101363780280" aria-controls="common6356932101363780280"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme6356932101363780280" aria-controls="extreme6356932101363780280"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles6356932101363780280">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>-11.662</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>24.639</td>
</tr>
<tr>
<th>Q1</th>
<td>29.762</td>
</tr>
<tr>
<th>Median</th>
<td>35.495</td>
</tr>
<tr>
<th>Q3</th>
<td>39.257</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>46.471</td>
</tr>
<tr>
<th>Maximum</th>
<td>259.45</td>
</tr>
<tr>
<th>Range</th>
<td>271.11</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>9.4951</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>8.5223</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.24527</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>8.3622</td>
</tr>
<tr>
<th>Mean</th>
<td>34.747</td>
</tr>
<tr>
<th>MAD</th>
<td>5.919</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>-0.97375</td>
</tr>
<tr>
<th>Sum</th>
<td>19771000</td>
</tr>
<tr>
<th>Variance</th>
<td>72.629</td>
</tr>
<tr>
<th>Memory size</th>
<td>4.4 MiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram6356932101363780280">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzt3X1Y1HWi///XwCww4pIoN0fLK0%2BWaUQDQWoJ%2B02PlamVm5kn66jdrLahnE6lpbSKN2VHrPW42KaZd%2BUWa1am263n2tw1y1qMITNWtK3wBhlWCNMBBD6/P/w1pxGRceatA/l8XBeXO%2B/3fD7vt68%2Bl/tiZvhgsyzLEgAAAIwJC/UGAAAAfmooWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYFtKC9f777%2BvSSy/1%2BcrOzpYk7dy5U6NGjZLT6dTIkSO1Y8cOn2M3btyowYMHy%2Bl0KisrS4cOHfLOWZalBQsWqH///urbt6/mz5%2BvpqYm73xVVZUmT56s1NRUDRo0SOvXr/c5d2trAwAAnEpIC9bu3bs1cOBAbdmyxfs1d%2B5cHT16VBMmTFB6erpee%2B01paamauLEiTp69Kgkqbi4WDk5OZo0aZIKCgpUU1OjadOmec%2B7YsUKbdy4Ufn5%2BVq0aJE2bNigFStWeOenTZumw4cPq6CgQL/%2B9a/1%2BOOPq7i4WJJaXRsAAKA1IS1Ye/bsUa9evRQfH%2B/9iomJ0VtvvaXIyEhNnTpVPXv2VE5OjqKjo/XOO%2B9Ikl566SXdeOONGjFihHr37q358%2Bdr8%2BbNKisrkyStXr1a2dnZSk9PV//%2B/fXII49ozZo1kqRvv/1Wf/7znzV37lz16tVLo0aN0s0336w//OEPktTq2gAAAK2xh3LxPXv26Jprrmk27nK5lJaWJpvNJkmy2Wy68sorVVRUpFtvvVUul0u/%2BtWvvM/v2rWrunXrJpfLpYiICB04cEBXXXWVdz4tLU379u1TRUWFXC6XunbtqgsuuMBnfsmSJX6tHSi3%2B3DAx54NYWE2de4crUOHjqipyQr1dtod8gseGQaH/IJHhsFpq/nFx/88JOuG7BUsy7L0j3/8Q1u2bNENN9ygwYMHa8GCBaqvr5fb7VZCQoLP87t06aLy8nJJUkVFRYvzbrdbknzm4%2BLiJMk7f7JjDx48KEmtrv1TFRZmk81mU1iYLdRbaZfIL3hkGBzyCx4ZBof8fIXsFaz9%2B/fL4/EoIiJCCxcu1N69ezV37lzV1tZ6x38sIiJC9fX1kqTa2toW52tra72PfzwnSfX19a2eu7V5f1RUVHiL3g/s9g7NiltbEh4e5vMnTg/5BY8Mg0N%2BwSPD4JCfr5AVrPPPP1/btm3TeeedJ5vNpj59%2BqipqUlTpkxR3759mxWa%2Bvp6RUVFSZIiIyNPOu9wOHzKVGRkpPd/S5LD4Wjx2NbO/cO8PwoKCpSfn%2B8zlpWV5f0JybYsJsYR6i20a%2BQXPDIMDvkFjwyDQ37HhfQzWJ06dfJ53LNnT9XV1Sk%2BPl6VlZU%2Bc5WVld5XgBITE086Hx8fr8TEREnH3%2Br74XNWP7ya9MN8S8ee6tyn8%2BrT6NGjNWjQIJ8xu72DqqqO%2BH2Osy08PEwxMQ7V1HjU2NjU%2BgHwQX7BI8PgkF/wyDA4bTW/2NjokKwbsoL117/%2BVY888og%2B%2BOADORzH2%2B6XX36pTp06KS0tTc8//7wsy5LNZpNlWdq%2Bfbvuv/9%2BSZLT6VRhYaH3Q%2BcHDhzQgQMH5HQ6lZiYqG7duqmwsNBbsAoLC9WtWzclJCQoJSVF%2B/btU3l5uf7lX/7FO5%2BSkuI996nW9kdCQkKzQuZ2H1ZDQ9u54FrS2NjULvbZVpFf8MgwOOQXPDIMDvkdF7I3SlNTUxUZGanHH39cX331lTZv3qz58%2Bfrvvvu05AhQ1RTU6MnnnhCu3fv1hNPPCGPx6Mbb7xRknTHHXdo/fr1Wrt2rUpKSjR16lRde%2B216t69u3d%2BwYIF2rZtm7Zt26ann35aY8eOlSR1795dGRkZmjJlikpKSrR27Vpt3LhRd955pyS1ujYAAEBrbJZlhexnKUtLS/Xkk0%2BqqKhI0dHR%2Bvd//3dlZWXJZrOpuLhYM2fO1J49e3TppZdq1qxZuuyyy7zHvvbaa1q0aJG%2B%2B%2B47DRgwQHPmzFFsbKwkqbGxUfPnz9drr72m8PBw3XbbbXr44Ye9t1745z//qZycHG3dulXx8fH6r//6Lw0fPtx77tbWDkRbv02D3R6m2NhoVVUd4TuPAJBf8MgwOOQXPDIMTlvNL1S3aQhpwTqXULB%2B2sgveGQYHPILHhkGp63md87dBwsAAOCnioIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhoX0V%2BXg3HLjwg9DvYXT8vaDA0K9BQBAO8UrWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYFibKFgTJkzQY4895n28c%2BdOjRo1Sk6nUyNHjtSOHTt8nr9x40YNHjxYTqdTWVlZOnTokHfOsiwtWLBA/fv3V9%2B%2BfTV//nw1NTV556uqqjR58mSlpqZq0KBBWr9%2Bvc%2B5W1sbAACgNSEvWH/605%2B0efNm7%2BOjR49qwoQJSk9P12uvvabU1FRNnDhRR48elSQVFxcrJydHkyZNUkFBgWpqajRt2jTv8StWrNDGjRuVn5%2BvRYsWacOGDVqxYoV3ftq0aTp8%2BLAKCgr061//Wo8//riKi4v9WhsAAMAfIS1Y1dXVmj9/vpKTk71jb731liIjIzV16lT17NlTOTk5io6O1jvvvCNJeumll3TjjTdqxIgR6t27t%2BbPn6/NmzerrKxMkrR69WplZ2crPT1d/fv31yOPPKI1a9ZIkr799lv9%2Bc9/1ty5c9WrVy%2BNGjVKN998s/7whz/4tTYAAIA/Qlqw/vu//1u33HKLLr74Yu%2BYy%2BVSWlqabDabJMlms%2BnKK69UUVGRdz49Pd37/K5du6pbt25yuVw6ePCgDhw4oKuuuso7n5aWpn379qmiokIul0tdu3bVBRdc4DP/2Wef%2BbU2AACAP%2ByhWvijjz7S3/72N23YsEG5ubnecbfb7VO4JKlLly4qLS2VJFVUVCghIaHZfHl5udxutyT5zMfFxUmSd/5kxx48eNCvtf1VUVHh3csP7PYOzdZuS8LDw3z%2BhGS3%2B58F%2BQWPDINDfsEjw%2BCQn6%2BQFKy6ujrNnDlTM2bMUFRUlM%2Bcx%2BNRRESEz1hERITq6%2BslSbW1tS3O19bWeh//eE6S6uvrWz13a/P%2BKigoUH5%2Bvs9YVlaWsrOzT%2Bs8oRAT4wj1FtqM2Njo0z6G/IJHhsEhv%2BCRYXDI77iQFKz8/HxdfvnlyszMbDYXGRnZrNDU19d7i1hL8w6Hw6dMRUZGev%2B3JDkcjoDPfWIJbM3o0aM1aNAgnzG7vYOqqo6c1nnOpvDwMMXEOFRT41FjY1PrB5wDTue/F/kFjwyDQ37BI8PgtNX8Avlm2YSQFKw//elPqqysVGpqqqT/K0Hvvvuuhg8frsrKSp/nV1ZWet9eS0xMPOl8fHy8EhMTJR1/q%2B%2BHz1n98FbdD/MtHXuqc5/uW3sJCQnNjnG7D6uhoe1ccC1pbGxqF/s8GwLJgfyCR4bBIb/gkWFwyO%2B4kLxR%2BuKLL2rDhg1644039MYbb2jQoEEaNGiQ3njjDTmdTn322WeyLEvS8ftabd%2B%2BXU6nU5LkdDpVWFjoPdeBAwd04MABOZ1OJSYmqlu3bj7zhYWF6tatmxISEpSSkqJ9%2B/apvLzcZz4lJcV77lOtDQAA4I%2BQFKzzzz9fF154ofcrOjpa0dHRuvDCCzVkyBDV1NToiSee0O7du/XEE0/I4/HoxhtvlCTdcccdWr9%2BvdauXauSkhJNnTpV1157rbp37%2B6dX7BggbZt26Zt27bp6aef1tixYyVJ3bt3V0ZGhqZMmaKSkhKtXbtWGzdu1J133ilJra4NAADgj5D9FGFLOnbsqCVLlmjmzJn64x//qEsvvVRLly5Vhw4dJEmpqamaPXu2Fi1apO%2B%2B%2B04DBgzQnDlzvMffe%2B%2B9%2Buc//6lJkyYpPDxct912m8aPH%2B%2Bdnz9/vnJycnT77bcrPj5eTz75pK644gq/1gYAAPCHzfrh/TCcUW734VBv4ZTs9jDFxkarqurIGXvv/MaFH56R854pbz84wO/nno38furIMDjkFzwyDE5bzS8%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%2Bfbo8Ho93rq6uTtOnT1d6eroyMjK0fPlyn2NbWxsAAOBUQlawmpqaNGHCBMXGxur111/XrFmz9Pvf/14bNmyQZVnKyspSXFyc1q1bp1tuuUWTJk3S/v37JUn79%2B9XVlaWbr31Vr366qvq3LmzHnjgAVmWJUl69913lZ%2Bfr9mzZ2vVqlVyuVzKy8vzrj1//nzt2LFDq1at0syZM5Wfn6933nlHklpdGwAAoDX2UC1cWVmpPn36KDc3Vx07dlSPHj109dVXq7CwUHFxcSorK9Mrr7yiDh06qGfPnvroo4%2B0bt06TZ48WWvXrtXll1%2Bue%2B65R5I0b948DRgwQJ988on69eun1atXa9y4cRo4cKAkadasWbr33ns1ZcoUWZaltWvX6vnnn1dSUpKSkpJUWlqqNWvWaMiQIfr4449PuTYAAEBrAnoFa9SoUXrllVd0%2BPDhgBdOSEjQwoUL1bFjR1mWpcLCQn366afq27evXC6XLrvsMnXo0MH7/LS0NBUVFUmSXC6X0tPTvXMOh0NJSUkqKipSY2OjPv/8c5/5lJQUHTt2TCUlJSopKVFDQ4NSU1N9zu1yudTU1NTq2gAAAK0JqGD1799fzz33nDIyMvTQQw9py5Yt3rfnAjFo0CCNGTNGqampuuGGG%2BR2u5WQkODznC5duqi8vFySTjlfU1Ojuro6n3m73a5OnTqpvLxcbrdbsbGxioiI8M7HxcWprq5O1dXVra4NAADQmoDeInz44Yf10EMPaevWrXrjjTc0efJkxcTEaMSIERoxYoT%2B9V//9bTOt2jRIlVWVio3N1fz5s2Tx%2BPxKUCSFBERofr6ekk65Xxtba338cnmLcs66Zwk1dfXt7q2PyoqKuR2u33G7PYOzYpbWxIeHubzJyS73f8syC94ZBgc8gseGQaH/HwF/Bksm82mAQMGaMCAAfJ4PHrxxRf17LPPaunSpbryyis1btw4XX/99X6dKzk5WdLxn%2B575JFHNHLkSJ%2Bf%2BpOOl5%2BoqChJUmRkZLPCU19fr5iYGEVGRnofnzjvcDjU2Nh40jlJioqKUmRkpKqrq1tc2x8FBQXKz8/3GcvKylJ2drbf5wiVmBhHqLfQZsTGRp/2MeQXPDIMDvkFjwyDQ37HBfUh94qKCr355pt68803tWvXLl155ZX65S9/qfLycj3%2B%2BOP69NNPlZOTc9JjKysrVVRUpMGDB3vHLr74Yh07dkzx8fH66quvmj3/h1eAEhMTVVlZ2Wy%2BT58%2B6tSpkyIjI1VZWamePXtKkhoaGlRdXa34%2BHhZlqWqqio1NDTIbj/%2B13e73YqKilJMTIwSExO1e/fuFtf2x%2BjRozVo0CCfMbu9g6qqjvh9jrMtPDxMMTEO1dR41NjYFOrttAmn89%2BL/IJHhsEhv%2BCRYXDaan6BfLNsQkAFa/369Vq/fr22bdumzp07a8SIEVq0aJF69OjhfU7Xrl31xBNPtFiw9u7dq0mTJmnz5s1KTEyUJO3YsUOdO3dWWlqali9frtraWu8rR4WFhUpLS5MkOZ1OFRYWes/l8Xi0c%2BdOTZo0SWFhYUpOTlZhYaH69esnSSoqKpLdblfv3r2P/6XtdhUVFXk/CF9YWKjk5GSFhYXJ6XRq6dKlLa7tj4SEhGaFzO0%2BrIaGtnPBtaSxsald7PNsCCQH8gseGQaH/IJHhsEhv%2BMCeqM0JydH0dHRWrx4sTZv3qyHH37Yp1xJ0kUXXaS77rqrxXMkJycrKSlJ06dP1%2B7du7V582bl5eXp/vvvV9%2B%2BfdW1a1dNmzZNpaWlWrp0qYqLi3XbbbdJkkaOHKnt27dr6dKlKi0t1bRp03TBBRd4C9WYMWP0wgsvaNOmTSouLlZubq5uv/12ORwOORwOjRgxQrm5uSouLtamTZu0fPlyjR07VpJaXRsAAKA1NiuAH/87dOiQYmNjVV1drdjYWElScXGxkpKSFB4e7vd5Dh48qDlz5uijjz6Sw%2BHQXXfdpYkTJ8pms%2Bmbb75RTk6OXC6XLrzwQk2fPl3XXHON99jNmzfrySefVHl5uVJTUzVnzhx1797dO7906VKtXLlS9fX1uv766zVz5kzv57M8Ho9yc3P13nvvqWPHjrr33ns1fvx477GtrR0ItzvwW1qcDXZ7mGJjo1VVdeSMfedx48IPz8h5z5S3Hxzg93PPRn4/dWQYHPILHhkGp63mFx//85CsG1DB%2Bvbbb/WrX/1K//Zv/6apU6dKOn7rhri4OD3//PPq2rWr8Y22dxQsChZOjQyDQ37BI8PgtNX8QlWwAnqL8Mknn9SFF16ou%2B%2B%2B2zv21ltvqWvXrpo3b56xzQEAALRHARWsv/3tb3rssccUHx/vHevcubOmTp2qjz/%2B2NjmAAAA2qOACpbdbldNTU2zcY/HE9Qd3QEAAH4KAipYv/jFLzR37lx9%2B%2B233rGysjLNmzdPmZmZxjYHAADQHgV0H6xHH31Ud999t2644QbFxMRIkmpqapSUlKRp06YZ3SAAAEB7E1DB6tKli15//XVt3bpVpaWlstvtuvjii3X11VfLZrOZ3iMAAEC7EvCvygkPD1dmZiZvCQIAAJwgoILldru1cOFCbd%2B%2BXceOHWv2wfb//d//NbI5AACA9iiggvWb3/xGO3bs0LBhw/Tzn4fmBl4AAABtVUAF6%2BOPP9ayZcu8vywZAAAA/yeg2zR06NBBXbp0Mb0XAACAn4SACtYtt9yiZcuWqbGx0fR%2BAAAA2r2A3iKsrq7Wxo0b9cEHH6h79%2B6KiIjwmV%2B9erWRzQEAALRHAd%2BmYfjw4Sb3AQAA8JMRUMGaN2%2Be6X0AAAD8ZAT0GSxJqqioUH5%2Bvh5%2B%2BGH985//1DvvvKOvvvrK5N4AAADapYAK1jfffKObbrpJr7/%2But59910dPXpUb731lkaOHCmXy2V6jwAAAO1KQAXrqaee0uDBg7Vp0yb97Gc/kyQ988wzGjRokBYsWGB0gwAAAO1NQAVr%2B/btuvvuu31%2BsbPdbtcDDzygnTt3GtscAABAexRQwWpqalJTU1Oz8SNHjig8PDzoTQEAALRnARWsjIwMLVmyxKdkVVdXKy8vT/379ze2OQAAgPYooIL12GOPaceOHcrIyFBdXZ1%2B/etfa%2BDAgdq7d68effRR03sEAABoVwK6D1ZiYqLeeOMNbdy4UV9%2B%2BaWampp0xx136JZbblHHjh1N7xEAAKBdCfhO7g6HQ6NGjTK5FwAAgJ%2BEgArW2LFjTznP7yIEAADnsoAK1vnnn%2B/zuKGhQd9884127dqlcePGGdkYAABAe2X0dxEuXrxY5eXlQW0IAACgvQv4dxGezC233KK3337b5CkBAADaHaMF67PPPuNGowAA4Jxn7EPu33//vf7%2B979rzJgxQW8KAACgPQuoYHXr1s3n9xBK0s9%2B9jPddddduvnmm41sDAAAoL0KqGA99dRTpvcBAADwkxFQwfr000/9fu5VV10VyBIAAADtVkAF6z/%2B4z%2B8bxFaluUdP3HMZrPpyy%2B/DHaPAAAA7UpABeu5557T3LlzNWXKFPXt21cRERH6/PPPNXv2bP3yl7/U0KFDTe8TAACg3QjoNg3z5s3TjBkzdMMNNyg2NlbR0dHq37%2B/Zs%2BerZdfflnnn3%2B%2B9wsAAOBcE1DBqqioOGl56tixo6qqqoLeFAAAQHsWUMFKSUnRM888o%2B%2B//947Vl1drby8PF199dXGNgcAANAeBfQZrMcff1xjx47VL37xC/Xo0UOWZenrr79WfHy8Vq9ebXqPAAAA7UpABatnz5566623tHHjRu3Zs0eSdOedd2rYsGFyOBxGNwgAANDeBFSwJOm8887TqFGjtHfvXnXv3l3S8bu5AwAAnOsC%2BgyWZVlasGCBrrrqKg0fPlzl5eV69NFHlZOTo2PHjpneIwAAQLsSUMF68cUXtX79es2cOVMRERGSpMGDB2vTpk3Kz883ukEAAID2JqCCVVBQoBkzZujWW2/13r196NChmjt3rjZs2GB0gwAAAO1NQAVr79696tOnT7Px3r17y%2B12B70pAACA9iyggnX%2B%2Befr888/bzb%2Bl7/8xfuBdwAAgHNVQD9FeO%2B992rWrFlyu92yLEsfffSRCgoK9OKLL%2Bqxxx4zvUcAAIB2JaCCNXLkSDU0NOj3v/%2B9amtrNWPGDHXu3FkPPvig7rjjDtN7BAAAaFcCKlgbN27UkCFDNHr0aB06dEiWZalLly6m9wYAANAuBfQZrNmzZ3s/zN65c2fKFQAAwI8EVLB69OihXbt2md4LAADAT0JAbxH27t1bjzzyiJYtW6YePXooMjLSZ37evHlGNgcAANAeBfQK1j/%2B8Q%2BlpaUpOjpabrdbe/fu9fnyx8GDB5Wdna2%2BffsqMzNT8%2BbNU11dnSSprKxM48ePV0pKioYOHaotW7b4HLt161YNHz5cTqdTY8eOVVlZmc/8ypUrlZmZqdTUVE2fPl0ej8c7V1dXp%2BnTpys9PV0ZGRlavny5z7GtrQ0AANAav1/Bmj9/viZNmqQOHTroxRdfDGpRy7KUnZ2tmJgYrVmzRt99952mT5%2BusLAwTZ06VVlZWerVq5fWrVunTZs2adKkSXrrrbfUrVs37d%2B/X1lZWZo8ebIyMzO1ePFiPfDAA3rzzTdls9n07rvvKj8/X3l5eerSpYumTZumvLw8zZgxw/v32LFjh1atWqX9%2B/fr0UcfVbdu3TRkyBBZlnXKtQEAAPzh9ytYK1as8HklSJImTJigioqK0170q6%2B%2BUlFRkebNm6dLLrlE6enpys7O1saNG/Xxxx%2BrrKxMs2fPVs%2BePTVx4kSlpKRo3bp1kqS1a9fq8ssv1z333KNLLrlE8%2BbN0759%2B/TJJ59IklavXq1x48Zp4MCBuuKKKzRr1iytW7dOHo9HR48e1dq1a5WTk6OkpCRdd911uu%2B%2B%2B7RmzRpJanVtAAAAf/hdsCzLajb26aefet/WOx3x8fFatmyZ4uLifMa///57uVwuXXbZZerQoYN3PC0tTUVFRZIkl8ul9PR075zD4VBSUpKKiorU2Niozz//3Gc%2BJSVFx44dU0lJiUpKStTQ0KDU1FSfc7tcLjU1NbW6NgAAgD8C%2BpB7sGJiYpSZmel93NTUpJdeekn9%2B/eX2%2B1WQkKCz/O7dOmi8vJySTrlfE1Njerq6nzm7Xa7OnXqpPLycoWFhSk2NlYRERHe%2Bbi4ONXV1am6urrVtf1VUVHR7Hcy2u0dmp27LQkPD/P5E5Ld7n8W5Bc8MgwO%2BQWPDINDfr5CUrBOlJeXp507d%2BrVV1/VypUrfQqQJEVERKi%2Bvl6S5PF4Wpyvra31Pj7ZvGVZJ52TpPr6%2BlOe%2B3QUFBQoPz/fZywrK0vZ2dmndZ5QiIlxhHoLbUZsbPRpH0N%2BwSPD4JBf8MgwOOR33GkVLJvNZnwDeXl5WrVqlX7729%2BqV69eioyMVHV1tc9z6uvrFRUVJUmKjIxsVnjq6%2BsVExPjvV3EyeYdDocaGxtPOidJUVFRra7tr9GjR2vQoEE%2BY3Z7B1VVHTmt85xN4eFhiolxqKbGo8bGplBvp004nf9e5Bc8MgwO%2BQWPDIPTVvML5JtlE06rYM2dO9fnnlfHjh1TXl6eoqN9N%2B/vfbDmzJmjl19%2BWXl5ebrhhhskSYmJidq9e7fP8yorK71vryUmJqqysrLZfJ8%2BfdSpUydFRkaqsrJSPXv2lCQ1NDSourpa8fHxsixLVVVVamhokN1%2B/K/udrsVFRWlmJiYVtf2V0JCQrNj3O7DamhoOxdcSxobm9rFPs%2BGQHIgv%2BCRYXDIL3hkGBzyO87vN0qvuuqqZve8Sk1NVVVVVUD3wcrPz9crr7yiZ54iAvDCAAATVElEQVR5RsOGDfOOO51OffHFF963%2BySpsLBQTqfTO19YWOid83g82rlzp5xOp8LCwpScnOwzX1RUJLvdrt69e6tPnz6y2%2B0%2BH1ovLCxUcnKywsLCWl0bAADAH36/ghXsva9%2BbM%2BePXr22Wc1YcIEpaWl%2BXwgvG/fvurataumTZumBx54QH/%2B859VXFzsfVVs5MiReuGFF7R06VINHDhQixcv1gUXXKB%2B/fpJksaMGaMZM2aoV69eSkhIUG5urm6//XY5HMffEx4xYoRyc3P15JNPqqKiQsuXL/eeu7W1AQAA/GGzTnb/hTNs6dKlevrpp0869/e//13ffPONcnJy5HK5dOGFF2r69Om65pprvM/ZvHmznnzySZWXlys1NVVz5sxR9%2B7dfc6/cuVK1dfX6/rrr9fMmTO9b216PB7l5ubqvffeU8eOHXXvvfdq/Pjx3mNbWztQbvfhoM9xJtntYYqNjVZV1ZEz9tLujQs/PCPnPVPefnCA3889G/n91JFhcMgveGQYnLaaX3z8z0OybkgK1rmIgkXBwqmRYXDIL3hkGJy2ml%2BoChY3qwAAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMCwkBes%2Bvp6DR8%2BXNu2bfOOlZWVafz48UpJSdHQoUO1ZcsWn2O2bt2q4cOHy%2Bl0auzYsSorK/OZX7lypTIzM5Wamqrp06fL4/F45%2Brq6jR9%2BnSlp6crIyNDy5cv9zm2tbUBAABaE9KCVVdXp4ceekilpaXeMcuylJWVpbi4OK1bt0633HKLJk2apP3790uS9u/fr6ysLN1666169dVX1blzZz3wwAOyLEuS9O677yo/P1%2BzZ8/WqlWr5HK5lJeX5z3//PnztWPHDq1atUozZ85Ufn6%2B3nnnHb/WBgAA8EfICtbu3bt1%2B%2B2369tvv/UZ//jjj1VWVqbZs2erZ8%2BemjhxolJSUrRu3TpJ0tq1a3X55Zfrnnvu0SWXXKJ58%2BZp3759%2BuSTTyRJq1ev1rhx4zRw4EBdccUVmjVrltatWyePx6OjR49q7dq1ysnJUVJSkq677jrdd999WrNmjV9rAwAA%2BCNkBeuTTz5Rv379VFBQ4DPucrl02WWXqUOHDt6xtLQ0FRUVeefT09O9cw6HQ0lJSSoqKlJjY6M%2B//xzn/mUlBQdO3ZMJSUlKikpUUNDg1JTU33O7XK51NTU1OraAAAA/rCHauExY8acdNztdishIcFnrEuXLiovL291vqamRnV1dT7zdrtdnTp1Unl5ucLCwhQbG6uIiAjvfFxcnOrq6lRdXd3q2gAAAP4IWcFqicfj8SlAkhQREaH6%2BvpW52tra72PTzZvWdZJ56TjH7ZvbW1/VVRUyO12%2B4zZ7R2albe2JDw8zOdPSHa7/1mQX/DIMDjkFzwyDA75%2BWpzBSsyMlLV1dU%2BY/X19YqKivLOn1h46uvrFRMTo8jISO/jE%2BcdDocaGxtPOidJUVFRra7tr4KCAuXn5/uMZWVlKTs7%2B7TOEwoxMY5Qb6HNiI2NPu1jyC94ZBgc8gseGQaH/I5rcwUrMTFRu3fv9hmrrKz0vvqTmJioysrKZvN9%2BvRRp06dFBkZqcrKSvXs2VOS1NDQoOrqasXHx8uyLFVVVamhoUF2%2B/G/utvtVlRUlGJiYlpd21%2BjR4/WoEGDfMbs9g6qqjpyWuc5m8LDwxQT41BNjUeNjU2h3k6bcDr/vcgveGQYHPILHhkGp63mF8g3yya0uYLldDq1dOlS1dbWel85KiwsVFpamne%2BsLDQ%2B3yPx6OdO3dq0qRJCgsLU3JysgoLC9WvXz9JUlFRkex2u3r37i3p%2BGeyioqKvB%2BELywsVHJyssLCwlpd218JCQnNSpnbfVgNDW3ngmtJY2NTu9jn2RBIDuQXPDIMDvkFjwyDQ37Htbk3Svv27auuXbtq2rRpKi0t1dKlS1VcXKzbbrtNkjRy5Eht375dS5cuVWlpqaZNm6YLLrjAW6jGjBmjF154QZs2bVJxcbFyc3N1%2B%2B23y%2BFwyOFwaMSIEcrNzVVxcbE2bdqk5cuXa%2BzYsX6tDQAA4I82V7DCw8P17LPPyu1269Zbb9Wbb76pxYsXq1u3bpKkCy64QL/73e%2B0bt063XbbbaqurtbixYtls9kkScOGDdPEiRM1Y8YM3XPPPbriiis0ZcoU7/mnTZumpKQkjRs3TrNmzdLkyZN1/fXX%2B7U2AACAP2zWD7dAxxnldh8O9RZOyW4PU2xstKqqjpyxl3ZvXPjhGTnvmfL2gwP8fu7ZyO%2BnjgyDQ37BI8PgtNX84uN/HpJ129wrWAAAAO0dBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMHuoNwC0VT/lX%2B0DADizeAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyzh3oDCM6NCz8M9RYAAMAJeAULAADAMAoWAACAYRQsAAAAwyhYJ1FXV6fp06crPT1dGRkZWr58eai3BAAA2hE%2B5H4S8%2BfP144dO7Rq1Srt379fjz76qLp166YhQ4aEemsAAKAdoGCd4OjRo1q7dq2ef/55JSUlKSkpSaWlpVqzZg0FCwAA%2BIW3CE9QUlKihoYGpaamesfS0tLkcrnU1NQUwp0BAID2glewTuB2uxUbG6uIiAjvWFxcnOrq6lRdXa3OnTu3eo6Kigq53W6fMbu9gxISEozvF/iB3d6%2Bv18KDw/z%2BROnh/yCR4bBIT9fFKwTeDwen3Ilyfu4vr7er3MUFBQoPz/fZ2zSpEmaPHmymU3%2ByN%2BeMPO2ZUVFhQoKCjR69GiKYADIL3gVFRVatWoZGQaI/IJHhsEhP1/UzBNERkY2K1I/PI6KivLrHKNHj9Zrr73m8zV69GjjezXJ7XYrPz%2B/2Stv8A/5BY8Mg0N%2BwSPD4JCfL17BOkFiYqKqqqrU0NAgu/14PG63W1FRUYqJifHrHAkJCbR3AADOYbyCdYI%2BffrIbrerqKjIO1ZYWKjk5GSFhREXAABoHY3hBA6HQyNGjFBubq6Ki4u1adMmLV%2B%2BXGPHjg311gAAQDsRnpubmxvqTbQ1/fv3186dO/X000/ro48%2B0v3336%2BRI0eGeltnXHR0tPr27avo6OhQb6VdIr/gkWFwyC94ZBgc8vs/NsuyrFBvAgAA4KeEtwgBAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwznF1dXWaPn260tPTlZGRoeXLl4d6S23e%2B%2B%2B/r0svvdTnKzs7W5K0c%2BdOjRo1Sk6nUyNHjtSOHTtCvNu2o76%2BXsOHD9e2bdu8Y2VlZRo/frxSUlI0dOhQbdmyxeeYrVu3avjw4XI6nRo7dqzKysrO9rbblJNlOHfu3GbX40svveSd37hxowYPHiyn06msrCwdOnQoFFsPqYMHDyo7O1t9%2B/ZVZmam5s2bp7q6Oklcg/46VYZcgy2wcE6bPXu2ddNNN1k7duyw3nvvPSs1NdV6%2B%2B23Q72tNu3ZZ5%2B1Jk6caFVUVHi/vvvuO%2BvIkSPWgAEDrKeeesravXu3NWfOHOuaa66xjhw5Euoth1xtba2VlZVl9erVy/r4448ty7KspqYm66abbrIefvhha/fu3dZzzz1nOZ1Oa9%2B%2BfZZlWda%2BffuslJQU64UXXrB27dpl/ed//qc1fPhwq6mpKZR/lZA5WYaWZVnjx4%2B3lixZ4nM9Hj161LIsy3K5XNYVV1xhvf7669aXX35p3XXXXdaECRNC9VcIiaamJuv222%2B37rvvPmvXrl3Wp59%2Bal133XXWU089xTXop1NlaFlcgy2hYJ3Djhw5YiUnJ/v8Y7148WLrrrvuCuGu2r6HH37Yevrpp5uNr1271ho0aJD3H9%2Bmpibruuuus9atW3e2t9imlJaWWjfffLN10003%2BZSDrVu3WikpKT4FdNy4cdaiRYssy7KshQsX%2BlyLR48etVJTU32u13NFSxlalmVlZmZaf/3rX0963JQpU6xHH33U%2B3j//v3WpZdean377bdnfM9txe7du61evXpZbrfbO7ZhwwYrIyODa9BPp8rQsrgGW8JbhOewkpISNTQ0KDU11TuWlpYml8ulpqamEO6sbduzZ4969OjRbNzlciktLU02m02SZLPZdOWVV6qoqOgs77Bt%2BeSTT9SvXz8VFBT4jLtcLl122WXq0KGDdywtLc2bl8vlUnp6unfO4XAoKSnpnMyzpQy///57HTx48KTXo9Q8w65du6pbt25yuVxncrttSnx8vJYtW6a4uDif8e%2B//55r0E%2BnypBrsGX2UG8AoeN2uxUbG6uIiAjvWFxcnOrq6lRdXa3OnTuHcHdtk2VZ%2Bsc//qEtW7ZoyZIlamxs1JAhQ5SdnS23262LL77Y5/ldunRRaWlpiHbbNowZM%2Bak4263WwkJCT5jXbp0UXl5uV/z55KWMtyzZ49sNpuee%2B45/eUvf1GnTp10991365e//KUkqaKi4pzPMCYmRpmZmd7HTU1Neumll9S/f3%2BuQT%2BdKkOuwZZRsM5hHo/Hp1xJ8j6ur68PxZbavP3793tzW7hwofbu3au5c%2Beqtra2xTzJ8uRay4s8W/fVV1/JZrPpoosu0l133aVPP/1Uv/nNb9SxY0ddd911qq2tJcMT5OXlaefOnXr11Ve1cuVKrsEA/DjDL774gmuwBRSsc1hkZGSzi/yHx1FRUaHYUpt3/vnna9u2bTrvvPNks9nUp08fNTU1acqUKerbt%2B9J8yTLk4uMjFR1dbXP2I/zaun6jImJOWt7bOtGjBihgQMHqlOnTpKk3r176%2Buvv9bLL7%2Bs6667rsUMHQ5HKLYbcnl5eVq1apV%2B%2B9vfqlevXlyDATgxw0suuYRrsAV8BusclpiYqKqqKjU0NHjH3G63oqKizul/QFrTqVMn7%2BesJKlnz56qq6tTfHy8KisrfZ5bWVnZ7OVxHJeYmHjKvFqaj4%2BPP2t7bOtsNpv3/9h%2BcNFFF%2BngwYOSyPDH5syZoxUrVigvL0833HCDJK7B03WyDLkGW0bBOof16dNHdrvd5wObhYWFSk5OVlgYl8bJ/PWvf1W/fv3k8Xi8Y19%2B%2BaU6deqktLQ0ffbZZ7IsS9Lxz2tt375dTqczVNtt05xOp7744gvV1tZ6xwoLC715OZ1OFRYWeuc8Ho927txJnj/yP//zPxo/frzPWElJiS666CJJzTM8cOCADhw4cM5lmJ%2Bfr1deeUXPPPOMhg0b5h3nGvRfSxlyDZ5CiH%2BKESH2m9/8xho2bJjlcrms999/37ryyiutd999N9TbarMOHz5sZWZmWg899JC1Z88e64MPPrAyMjKspUuXWocPH7b69%2B9vzZkzxyotLbXmzJljDRgwgPtg/ciPbzHQ0NBgDR061HrwwQetXbt2WUuWLLFSUlK89yAqKyuzkpOTrSVLlnjvQXTTTTedc/cgOtGPM3S5XNZll11mLVu2zPrmm2%2BsNWvWWJdffrm1fft2y7Isa/v27VZSUpL1xz/%2B0XsPookTJ4Zy%2B2fd7t27rT59%2Bli//e1vfe7TVFFRwTXop1NlyDXYMgrWOe7o0aPW1KlTrZSUFCsjI8NasWJFqLfU5u3atcsaP368lZKSYg0YMMD63e9%2B5/0H1%2BVyWSNGjLCSk5Ot2267zfriiy9CvNu25cR7OH399dfWnXfeaV1%2B%2BeXWsGHDrA8//NDn%2BR988IF1/fXXW1dccYU1bty4c%2BLeOa05McP333/fuummm6zk5GRryJAhzb5BWrdunfX//t//s1JSUqysrCzr0KFDZ3vLIbVkyRKrV69eJ/2yLK5Bf7SWIdfgydks6/9/PwMAAABG8EEbAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADDs/wOEKhk1nOhc%2BwAAAABJRU5ErkJggg%3D%3D"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common6356932101363780280">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">0.0</td>
<td class="number">924</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">37.26826</td>
<td class="number">7</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">36.18113</td>
<td class="number">7</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">38.16064</td>
<td class="number">7</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">37.59489</td>
<td class="number">6</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">28.49236</td>
<td class="number">6</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">37.3942</td>
<td class="number">6</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">28.49314</td>
<td class="number">6</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">28.88552</td>
<td class="number">6</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">28.73445</td>
<td class="number">6</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (493038)</td>
<td class="number">568011</td>
<td class="number">99.6%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">1308</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme6356932101363780280">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">-11.66219</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-11.65474</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-7.83846</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-7.640767</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-7.503787</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">137.4648</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">137.9945</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">147.5101</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">202.7401</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">259.4458</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4">FIC87211.PV<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>364026</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>64.0%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.2%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1307</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>4099.7</td>
</tr>
<tr>
<th>Minimum</th>
<td>-141.25</td>
</tr>
<tr>
<th>Maximum</th>
<td>15646</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="minihistogram2236837571530093641">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAARNJREFUeJzt3MEJAjEQQNFVLMki7MmzPVmEPcUG5MMKSyK%2Bdw/M5TOnyWmMMTbgo/PsAWBll9kDzHK9P3e/eT1uB0zCymwQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKB8LefNnxj70cPPnn4fTYIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIhOVu0vfefW%2Bb22%2BOY4NAEAgEgUAQCASBQDiNMcbsIWBVNggEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAiEN3nvEZOQOtRNAAAAAElFTkSuQmCC">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives2236837571530093641,#minihistogram2236837571530093641"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives2236837571530093641">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles2236837571530093641"
aria-controls="quantiles2236837571530093641" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram2236837571530093641" aria-controls="histogram2236837571530093641"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common2236837571530093641" aria-controls="common2236837571530093641"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme2236837571530093641" aria-controls="extreme2236837571530093641"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles2236837571530093641">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>-141.25</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>5.3632</td>
</tr>
<tr>
<th>Q1</th>
<td>3963.5</td>
</tr>
<tr>
<th>Median</th>
<td>4365.8</td>
</tr>
<tr>
<th>Q3</th>
<td>4711.4</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>5331.3</td>
</tr>
<tr>
<th>Maximum</th>
<td>15646</td>
</tr>
<tr>
<th>Range</th>
<td>15787</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>747.84</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>1270.3</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.30984</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>7.0087</td>
</tr>
<tr>
<th>Mean</th>
<td>4099.7</td>
</tr>
<tr>
<th>MAD</th>
<td>764.36</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>-1.8078</td>
</tr>
<tr>
<th>Sum</th>
<td>2332700000</td>
</tr>
<tr>
<th>Variance</th>
<td>1613600</td>
</tr>
<tr>
<th>Memory size</th>
<td>4.4 MiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram2236837571530093641">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzs3X1cVHXC///3wCww6rKiAkl6rQ8t70gBQbJVu5KHppaVK6mblZa2WoFcbWmFlPdmF2qZi92YmppWZFomV9muXW5dbmUuypBrlNqNpAJDweINNwLn94dfz28nNRAPDDO%2Bno8HD5vzmXM%2Bn/fMgd7ODEebYRiGAAAAYBk/Ty8AAADA11CwAAAALEbBAgAAsBgFCwAAwGIULAAAAItRsAAAACxGwQIAALAYBQsAAMBiFCwAAACLUbAAAAAsRsECAACwGAULAADAYhQsAAAAi1GwAAAALEbBAgAAsBgFCwAAwGIULAAAAItRsAAAACxGwQIAALAYBQsAAMBiFCwAAACLUbAAAAAsRsECAACwGAULAADAYhQsAAAAi1GwAAAALEbBAgAAsBgFCwAAwGIULAAAAItRsAAAACxGwQIAALAYBQsAAMBiFCwAAACLUbAAAAAsRsECAACwGAULAADAYhQsAAAAi3m0YH3//feaNGmSYmJidMMNN2jlypXm2Pz589WtWze3r/Xr15vjWVlZGjx4sKKiopSUlKSffvrJHDMMQ4sXL1a/fv0UHx%2Bv9PR01dbWmuMlJSWaOnWqYmJilJCQoC1btrita//%2B/Ro9erSioqKUmJioffv2NeKjAAAAfI3HClZtba0mT56skJAQvf3225ozZ45eeOEFbd26VZJ06NAhPfLII9q5c6f5lZiYKEnKzc1VWlqakpOTlZmZqbKyMqWmpprHfuWVV5SVlaWMjAwtW7ZMW7du1SuvvGKOp6am6vjx48rMzNQDDzygJ554Qrm5uZKkU6dOafLkyYqLi9PmzZsVExOjKVOm6NSpU0346AAAAG9m99TExcXF6tGjh2bPnq1WrVqpU6dOuu6665Sdna1bbrlFhw4d0qRJkxQaGnrOvuvXr9fw4cM1cuRISVJ6eroGDRqk/Px8dezYUevWrVNKSori4uIkSdOmTdNzzz2nSZMm6fDhw9qxY4c%2B/PBDdejQQV27dlVOTo5ee%2B019e7dW%2B%2B9954CAwP16KOPymazKS0tTR9//LG2bdumUaNGNTivy3W8wfvWl5%2BfTW3atNRPP51Uba3R6PM1JbJ5L1/ORzbv5MvZJN/O15BsoaG/buRVnZ/HXsEKCwvT0qVL1apVKxmGoezsbO3evVvx8fE6ceKECgsL1alTp/Pu63Q6zfIkSe3bt1dERIScTqcKCwt17Ngx9e3b1xyPjY3VkSNHVFRUJKfTqfbt26tDhw5u43v37jWPHRsbK5vNJkmy2Wzq06ePcnJyGuFRsJafn002m01%2BfjZPL8VyZPNevpyPbN7Jl7NJvp3Pm7I1iw%2B5JyQkaNy4cYqJidHQoUN16NAh2Ww2vfjii7r%2B%2But166236u233zbvX1RUpLCwMLdjtG3bVgUFBXK5XJLkNt6uXTtJMsfPt29hYaEkXXC8oKDAusAAAMCneewtwn%2B3bNkyFRcXa/bs2Vq4cKEiIyNls9nUuXNn3XXXXdq9e7eefPJJtWrVSkOGDFFFRYUCAgLcjhEQEKCqqipVVFSYt/99TJKqqqpUXl5%2BwX0l1TleH0VFRWbRO8tub3FOcbOav7%2Bf25%2B%2BhGzey5fzkc07%2BXI2ybfzeVO2ZlGwevXqJUmqrKzUtGnTtGfPHg0aNEitW7eWJHXv3l3fffedXn/9dQ0ZMkSBgYHnFJ6qqio5HA63MhUYGGj%2BtyQ5HI4L7hsUFCRJdY7XR2ZmpjIyMty2JSUlKSUlpd7HuBTBwY4mmccTyOa9fDkf2byTL2eTfDufN2Tz6Ifcc3JyNHjwYHPbVVddpdOnT%2BvEiRNq06aN2/07d%2B6szz77TJIUHh6u4uLic44XGhqq8PBwSWfe6jv7OauzryadHb/Qvr907It59Wns2LFKSEhw22a3t1BJycl6H6Mh/P39FBzsUFlZuWpqauvewYuQzXv5cj6yeSdfzib5dr6GZAsJadnIqzo/jxWsH374QcnJyfroo4/MUrRv3z61adNGr776qvbu3as1a9aY98/Ly1Pnzp0lSVFRUcrOzjZ/q%2B/YsWM6duyYoqKiFB4eroiICGVnZ5sFKzs7WxEREQoLC1N0dLSOHDmigoICXXHFFeZ4dHS0eeyXX35ZhmHIZrPJMAzt2bNH999/f72zhYWFnVPIXK7jqq5umhO9pqa2yeZqamTzXr6cj2zeyZezSb6dzxuyeexNzF69eikyMlIzZszQwYMH9dFHH2nRokW6//77NWjQIO3evVurVq3S4cOH9dprr%2Bmdd97RxIkTJUl33HGHtmzZoo0bNyovL0%2BPPvqobrjhBnXs2NEcX7x4sXbt2qVdu3ZpyZIlGj9%2BvCSpY8eOGjBggKZPn668vDxt3LhRWVlZuvPOOyVJw4YNU1lZmRYsWKCDBw9qwYIFKi8v1/Dhwz3zQAEAAK9jMwzDYxfJKCws1Lx58/Tpp5/K4XDorrvu0pQpU2Sz2bR9%2B3YtW7ZM3333na688kr96U9/0o033mjuu3nzZi1btkz/%2Bte/1L9/f82bN08hISGSpJqaGqWnp2vz5s3y9/fX7bffrkceecS89MKPP/6otLQ0ffLJJwoNDdWf/vQnjRgxwjx2bm6uZs2apUOHDqlbt26aM2eOevbseUlZm%2BI6WHa7n0JCWqqk5GSzb/YXi2zey5fzkc07%2BXI2ybfzNSSbp66D5dGCdTmhYF0asnkvX85HNu/ky9kk387nTQWr%2Bf%2BeIwAAgJehYAEAAFiMggUAAGAxChYAAIDFKFgAAAAWaxb/VA7QHA1f%2BndPL%2BGivP9Qf08vAQDw//AKFgAAgMUoWAAAABajYAEAAFiMggUAAGAxChYAAIDFKFgAAAAWo2ABAABYjIIFAABgMQoWAACAxShYAAAAFqNgAQAAWIyCBQAAYDEKFgAAgMUoWAAAABajYAEAAFiMggUAAGAxChYAAIDFKFgAAAAWo2ABAABYjIIFAABgMQoWAACAxShYAAAAFqNgAQAAWIyCBQAAYDEKFgAAgMUoWAAAABajYAEAAFjMowXr%2B%2B%2B/16RJkxQTE6MbbrhBK1euNMfy8/N1zz33KDo6WjfddJN27tzptu8nn3yiESNGKCoqSuPHj1d%2Bfr7b%2BJo1azRw4EDFxMRoxowZKi8vN8cqKys1Y8YMxcXFacCAAVq9erXbvnXNDQAA8Es8VrBqa2s1efJkhYSE6O2339acOXP0wgsvaOvWrTIMQ0lJSWrXrp02bdqk2267TcnJyTp69Kgk6ejRo0pKStKoUaP01ltvqU2bNnrwwQdlGIYk6YMPPlBGRobmzp2rtWvXyul0atGiRebc6enp2rdvn9auXatZs2YpIyND27Ztk6Q65wYAAKiL3VMTFxcXq0ePHpo9e7ZatWqlTp066brrrlN2drbatWun/Px8vfHGG2rRooW6dOmiTz/9VJs2bdLUqVO1ceNGXXPNNZo4caIkaeHCherfv78%2B//xzXXvttVq3bp0mTJigQYMGSZLmzJmjSZMmafr06TIMQxs3btTLL7%2BsyMhIRUZG6sCBA9qwYYOGDRumzz777BfnBgAAqIvHXsEKCwvT0qVL1apVKxmGoezsbO3evVvx8fFyOp3q2bOnWrRoYd4/NjZWOTk5kiSn06m4uDhzzOFwKDIyUjk5OaqpqdEXX3zhNh4dHa3Tp08rLy9PeXl5qq6uVkxMjNuxnU6namtr65wbAACgLs3iQ%2B4JCQkaN26cYmJiNHToULlcLoWFhbndp23btiooKJCkXxwvKytTZWWl27jdblfr1q1VUFAgl8ulkJAQBQQEmOPt2rVTZWWlSktL65wbAACgLh57i/DfLVu2TMXFxZo9e7YWLlyo8vJytwIkSQEBAaqqqpKkXxyvqKgwb59v3DCM845JUlVVVZ1z10dRUZFcLpfbNru9xTnFzWr%2B/n5uf/oSX85mFbu9eT42vvzckc07%2BXI2ybfzeVO2ZlGwevXqJenMb/dNmzZNiYmJbr/1J50pP0FBQZKkwMDAcwpPVVWVgoODFRgYaN7%2B%2BbjD4VBNTc15xyQpKChIgYGBKi0tveDc9ZGZmamMjAy3bUlJSUpJSan3MS5FcLCjSebxBF/OdqlCQlp6egm/yJefO7J5J1/OJvl2Pm/I5tEPuefk5Gjw4MHmtquuukqnT59WaGiovvnmm3Puf/YVoPDwcBUXF58z3qNHD7Vu3VqBgYEqLi5Wly5dJEnV1dUqLS1VaGioDMNQSUmJqqurZbefie9yuRQUFKTg4GCFh4fr4MGDF5y7PsaOHauEhAS3bXZ7C5WUnKz3MRrC399PwcEOlZWVq6amtlHnamq%2BnM0qjX1%2BNZQvP3dk806%2BnE3y7XwNyeapv3x6rGD98MMPSk5O1kcffaTw8HBJ0r59%2B9SmTRvFxsZq9erVqqioMF85ys7OVmxsrCQpKipK2dnZ5rHKy8u1f/9%2BJScny8/PT7169VJ2drauvfZaSVJOTo7sdru6d%2B8u6cxnsnJycswPwmdnZ6tXr17y8/NTVFSUVqxYccG56yMsLOycQuZyHVd1ddOc6DU1tU02V1Pz5WyXqrk/Lr783JHNO/lyNsm383lDNo%2B9idmrVy9FRkZqxowZOnjwoD766CMtWrRI999/v%2BLj49W%2BfXulpqbqwIEDWrFihXJzc3X77bdLkhITE7Vnzx6tWLFCBw4cUGpqqjp06GAWqnHjxmnVqlXavn27cnNzNXv2bI0ZM0YOh0MOh0MjR47U7NmzlZubq%2B3bt2v16tUaP368JNU5NwAAQF08VrD8/f31/PPPy%2BFwaOzYsUpLS9Pdd9%2Bt8ePHm2Mul0ujRo3Su%2B%2B%2Bq%2BXLlysiIkKS1KFDB/35z3/Wpk2bdPvtt6u0tFTLly%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%2BY46mpqTp%2B/LgyMzP1wAMP6IknnlBubq4k6dSpU5o8ebLi4uK0efNmxcTEaMqUKTp16lQTPjoAAMDbeaRgffPNN8rJydHChQt19dVXKy4uTikpKcrKypJ0pmD17NlToaGh5pfD4ZAkrV%2B/XsOHD9fIkSPVvXt3paen66OPPlJ%2Bfr4kad26dUpJSVFcXJz69eunadOmacOGDZKkw4cPa8eOHZo/f766du2q0aNH69Zbb9Vrr70mSXrvvfcUGBioRx99VF26dFFaWppatmypbdu2eeBRAgAA3sojBSs0NFQrV65Uu3bt3LafOHFCJ06cUGFhoTp16nTefZ1Op%2BLi4szb7du3V0REhJxOpwoLC3Xs2DH17dvXHI%2BNjdWRI0dUVFQkp9Op9u3bq0OHDm7je/fuNY8dGxsrm80mSbLZbOrTp49ycnKsig4AAC4DHilYwcHBGjhwoHm7trZW69evV79%2B/XTo0CHZbDa9%2BOKLuv7663Xrrbfq7bffNu9bVFSksLAwt%2BO1bdtWBQUFcrlckuQ2frbEnR0/376FhYWSdMHxgoICC1IDAIDLhd3TC5CkRYsWaf/%2B/Xrrrbf0z3/%2BUzabTZ07d9Zdd92l3bt368knn1SrVq00ZMgQVVRUKCAgwG3/gIAAVVVVqaKiwrz972OSVFVVpfLy8gvuK6nO8foqKioyy95ZdnuLc8qb1fz9/dz%2B9CW%2BnM0qdnvzfGx8%2Bbkjm3fy5WySb%2BfzpmweL1iLFi3S2rVr9eyzz6pr1666%2BuqrNWjQILVu3VqS1L17d3333Xd6/fXXNWTIEAUGBp5TeKqqquRwONzKVGBgoPnfkuRwOC64b1BQkCTVOV5fmZmZysjIcNuWlJSklJSUizpOQwUHO5pkHk/w5WyXKiSkpaeX8It8%2Bbkjm3fy5WySb%2BfzhmweLVjz5s3T66%2B/rkWLFmno0KGSznzu6Wy5Oqtz58767LPPJEnh4eEqLi52Gy8uLlZoaKjCw8MlnXmr7%2BznrM6%2BknR2/EL7/tKxL/aVp7FjxyohIcFtm93eQiUlJy/qOBfL399PwcEOlZWVq6amtu4dvIgvZ7NKY59fDeXLzx3ZvJMvZ5N8O19DsnnqL58eK1gZGRl644039Mwzz2jYsGHm9ueee0579%2B7VmjVrzG15eXnq3LmzJCkqKkrZ2dkaNWqUJOnYsWM6duyYoqKiFB4eroiICGVnZ5sFKzs7WxEREQoLC1N0dLSOHDmigoICXXHFFeZ4dHS0eeyXX35ZhmHIZrPJMAzt2bNH999//0VlCwsLO6eUuVzHVV3dNCd6TU1tk83V1Hw526Vq7o%2BLLz93ZPNOvpxN8u183pDNI29iHjp0SM8//7z%2B%2BMc/KjY2Vi6Xy/waNGiQdu/erVWrVunw4cN67bXX9M4772jixImSpDvuuENbtmzRxo0blZeXp0cffVQ33HCDOnbsaI4vXrxYu3bt0q5du7RkyRKNHz9ektSxY0cNGDBA06dPV15enjZu3KisrCzdeeedkqRhw4aprKxMCxYs0MGDB7VgwQKVl5dr%2BPDhnniYAACAl/LIK1gffvihampq9MILL%2BiFF15wG/vqq6/03HPPadmyZXruued05ZVXasmSJYqJiZEkxcTEaO7cuVq2bJn%2B9a9/qX///po3b565/6RJk/Tjjz8qOTlZ/v7%2Buv3223XPPfeY4%2Bnp6UpLS9OYMWMUGhqqp556Sr1795YktWrVSi%2B99JJmzZqlN998U926ddOKFSvUokWLxn9QAACAz7AZhmF4ehGXA5freKPPYbf7KSSkpUpKTjb7l04vlieyDV/69yaZxyrvP9Tf00s4L85L70Q27%2BXL%2BRqSLTT01428qvNr/r/nCAAA4GUoWAAAABajYAEAAFiMggUAAGAxChYAAIDFKFgAAAAWo2ABAABYjIIFAABgMQoWAACAxShYAAAAFqNgAQAAWIyCBQAAYDEKFgAAgMUoWAAAABajYAEAAFiMggUAAGAxChYAAIDFKFgAAAAWo2ABAABYjIIFAABgMQoWAACAxShYAAAAFqNgAQAAWIyCBQAAYDEKFgAAgMUoWAAAABajYAEAAFisQQVr9OjReuONN3T8%2BHGr1wMAAOD1GlSw%2BvXrpxdffFEDBgzQww8/rJ07d8owDKvXBgAA4JUaVLAeeeQR7dixQ88//7z8/f01depU3XDDDXr22Wf17bffWr1GAAAAr2Jv6I42m039%2B/dX//79VV5erldffVXPP/%2B8VqxYoT59%2BmjChAm68cYbrVwrAACAV2hwwZKkoqIivfvuu3r33Xf19ddfq0%2BfPvr973%2BvgoICPfHEE9q9e7fS0tKsWisAAIBXaFDB2rJli7Zs2aJdu3apTZs2GjlypJYtW6ZOnTqZ92nfvr0WLFhAwQIAAJedBhWstLQ0DRo0SMuXL9f1118vP79zP8rVuXNn3XXXXZe8QAAAAG/ToA%2B5f/zxx1q2bJmioqLMcpWbm6uamhrzPn369NEjjzxywWMUFhYqJSVF8fHxGjhwoBYuXKjKykpJUn5%2Bvu655x5FR0frpptu0s6dO932/eSTTzRixAhFRUVp/Pjxys/Pdxtfs2aNBg4cqJiYGM2YMUPl5eXmWGVlpWbMmKG4uDgNGDBAq1evdtu3rrkBAADq0qCCdeLECQ0bNkwvv/yyuW3y5Mm67bbbdOzYsTr3NwxDKSkpKi8v14YNG/Tss89qx44dWrp0qQzDUFJSktq1a6dNmzbptttuU3Jyso4ePSpJOnr0qJKSkjRq1Ci99dZbatOmjR588EHzMhEffPCBMjIyNHfuXK1du1ZOp1OLFi0y505PT9e%2Bffu0du1azZo1SxkZGdq2bZu5rl%2BaGwAAoD4aVLCeeuop/fa3v9W9995rbnvvvffUvn17LVy4sM79v/nmG%2BXk5GjhwoW6%2BuqrFRcXp5SUFGVlZemzzz5Tfn6%2B5s6dqy5dumjKlCmKjo7Wpk2bJEkbN27UNddco4kTJ%2Brqq6/WwoULdeTIEX3%2B%2BeeSpHXr1mnChAkaNGiQevfurTlz5mjTpk0qLy/XqVOntHHjRqWlpSkyMlJDhgzRfffdpw0bNkhSnXMDAADUR4MK1j/%2B8Q89/vjjCg0NNbe1adNGjz76qD777LM69w8NDdXKlSvVrl07t%2B0nTpyQ0%2BlUz5491aJFC3N7bGyscnJyJElOp1NxcXHmmMPhUGRkpHJyclRTU6MvvvjCbTw6OlqnT59WXl6e8vLyVF1drZiYGLdjO51O1dbW1jk3AABAfTToQ%2B52u11lZWXnbC8vL6/XFd2Dg4M1cOBA83Ztba3Wr1%2Bvfv36yeVyKSwszO3%2Bbdu2VUFBgST94nhZWZkqKyvdxu12u1q3bq2CggL5%2BfkpJCREAQEB5ni7du1UWVmp0tLSOueur6KiIrlcLrdtdnuLc45tNX9/P7c/fYkvZ7OK3d48Hxtffu7I5p18OZvk2/m8KVuDCtb111%2Bv%2BfPn65lnntF//Md/SDrz4fCFCxe6Faf6WrRokfbv36%2B33npLa9ascStAkhQQEKCqqipJZ0rchcYrKirM2%2BcbNwzjvGOSVFVV9YvHvhiZmZnKyMhw25aUlKSUlJSLOk5DBQc7mmQeT/DlbJcqJKSlp5fwi3z5uSObd/LlbJJv5/OGbA0qWI899pjuvfdeDR06VMHBwZKksrIyRUZGKjU19aKOtWjRIq1du1bPPvusunbtqsDAQJWWlrrdp6qqSkFBQZKkwMDAcwpPVVWVgoODFRgYaN7%2B%2BbjD4VBNTc15xyQpKCiozrnra%2BzYsUpISHDbZre3UEnJyYs6zsXy9/dTcLBDZWXlqqmpbdS5mpovZ7NKY59fDeXLzx3ZvJMvZ5N8O19DsnnqL58NKlht27bV22%2B/rU8%2B%2BUQHDhyQ3W7XVVddpeuuu042m63ex5k3b55ef/11LVq0SEOHDpUkhYeH6%2BDBg273Ky4uNt9eCw8PV3Fx8TnjPXr0UOvWrRUYGKji4mJ16dJFklRdXa3S0lKFhobKMAyVlJSourpadvuZ6C6XS0FBQQoODq5z7voKCws7Zx%2BX67iqq5vmRK%2BpqW2yuZqaL2e7VM39cfHl545s3smXs0m%2Bnc8bsjX4TUx/f38NHDhQEydO1Pjx4/W73/3uospVRkaG3njjDT3zzDO6%2Beabze1RUVH65z//ab7dJ0nZ2dmKiooyx7Ozs82x8vJy7d%2B/37wmV69evdzGc3JyZLfb1b17d/Xo0UN2u93tQ%2BvZ2dnq1auX/Pz86pwbAACgPhr0CpbL5dLSpUu1Z88enT59%2BpwPtn/44Ye/uP%2BhQ4f0/PPPa/LkyYqNjXX7QHh8fLzat2%2Bv1NRUPfjgg9qxY4dyc3PNyz8kJiZq1apVWrFihXk1%2BQ4dOujaa6%2BVJI0bN04zZ85U165dFRYWptmzZ2vMmDFyOM68Xzty5EjNnj1bTz31lIqKirR69Wrz2HXNDQAAUB8NKlhPPvmk9u3bp5tvvlm//vWvL3r/Dz/8UDU1NXrhhRf0wgsvuI199dVXev7555WWlqZRo0bpt7/9rZYvX66IiAhJUocOHfTnP/9ZTz31lJYvX66YmBgtX77cfPXs5ptv1pEjRzRz5kxVVVXpxhtv1PTp083jp6amavbs2ZowYYJatWqlqVOn6sYbb5R05lW5X5obAACgPmxGfa6r8DPR0dFauXKl2/Wm8MtcruONPofd7qeQkJYqKTnZ7N%2BbvlieyDZ86d%2BbZB6rvP9Qf08v4bw4L70T2byXL%2BdrSLbQ0It/IcgKDfoMVosWLdS2bVur1wIAAOATGlSwbrvtNq1cudLtH3cGAADAGQ36DFZpaamysrL0t7/9TR07djzn4pzr1q2zZHEAAADeqEEFS5JGjBhh5ToAAAB8RoMKFpctAJofb/pQfnP9QD4AWKXBFxotKipSRkaGHnnkEf3444/atm2bvvnmGyvXBgAA4JUaVLC%2B//573XLLLXr77bf1wQcf6NSpU3rvvfeUmJgop9Np9RoBAAC8SoMK1tNPP63Bgwdr%2B/bt%2BtWvfiVJeuaZZ5SQkKDFixdbukAAAABv06CCtWfPHt17771u//ag3W7Xgw8%2BqP3791u2OAAAAG/UoIJVW1ur2tpzr6B68uRJ%2Bfv7X/KiAAAAvFmDCtaAAQP00ksvuZWs0tJSLVq0SP369bNscQAAAN6oQQXr8ccf1759%2BzRgwABVVlbqgQce0KBBg/TDDz/oscces3qNAAAAXqVB18EKDw/XO%2B%2B8o6ysLH355Zeqra3VHXfcodtuu02tWrWyeo0AAABepcFXcnc4HBo9erSVawEAAPAJDSpY48eP/8Vx/i1CAABwOWtQwbryyivdbldXV%2Bv777/X118GMeSCAAAgAElEQVR/rQkTJliyMAAAAG9l6b9FuHz5chUUFFzSggAAALxdg/8twvO57bbb9P7771t5SAAAAK9jacHau3cvFxoFAACXPcs%2B5H7ixAl99dVXGjdu3CUvCgAAwJs1qGBFRES4/TuEkvSrX/1Kd911l2699VZLFgYAAOCtGlSwnn76aavXAQAA4DMaVLB2795d7/v27du3IVMAAAB4rQYVrLvvvtt8i9AwDHP7z7fZbDZ9%2BeWXl7pGAAAAr9KggvXiiy9q/vz5mj59uuLj4xUQEKAvvvhCc%2BfO1e9//3vddNNNVq8TAADAazToMg0LFy7UzJkzNXToUIWEhKhly5bq16%2Bf5s6dq9dff11XXnml%2BQUAAHC5aVDBKioqOm95atWqlUpKSi55UQAAAN6sQQUrOjpazzzzjE6cOGFuKy0t1aJFi3TddddZtjgAAABv1KDPYD3xxBMaP368rr/%2BenXq1EmGYei7775TaGio1q1bZ/UaAQAAvEqDClaXLl303nvvKSsrS4cOHZIk3Xnnnbr55pvlcDgsXSAAAIC3aVDBkqTf/OY3Gj16tH744Qd17NhR0pmruQMAAFzuGvQZLMMwtHjxYvXt21cjRoxQQUGBHnvsMaWlpen06dNWrxEAAMCrNKhgvfrqq9qyZYtmzZqlgIAASdLgwYO1fft2ZWRkWLpAAAAAb9OggpWZmamZM2dq1KhR5tXbb7rpJs2fP19bt2696ONVVVVpxIgR2rVrl7lt/vz56tatm9vX%2BvXrzfGsrCwNHjxYUVFRSkpK0k8//WSOnX2FrV%2B/foqPj1d6erpqa2vN8ZKSEk2dOlUxMTFKSEjQli1b3Nazf/9%2BjR49WlFRUUpMTNS%2BffsuOhMAALh8Nahg/fDDD%2BrRo8c527t37y6Xy3VRx6qsrNTDDz%2BsAwcOuG0/dOiQHnnkEe3cudP8SkxMlCTl5uYqLS1NycnJyszMVFlZmVJTU819X3nlFWVlZSkjI0PLli3T1q1b9corr5jjqampOn78uDIzM/XAAw/oiSeeUG5uriTp1KlTmjx5suLi4rR582bFxMRoypQpOnXq1EXlAgAAl68GFawrr7xSX3zxxTnbP/74Y/MD7/Vx8OBBjRkzRocPHz5n7NChQ%2BrZs6dCQ0PNr7O/obh%2B/XoNHz5cI0eOVPfu3ZWenq6PPvpI%2Bfn5kqR169YpJSVFcXFx6tevn6ZNm6YNGzZIkg4fPqwdO3Zo/vz56tq1q0aPHq1bb71Vr732miTpvffeU2BgoB599FF16dJFaWlpatmypbZt23bRjxMAALg8NahgTZo0SXPmzNG6detkGIY%2B/fRTLV68WOnp6br77rvrfZzPP/9c1157rTIzM922nzhxQoWFherUqdN593M6nYqLizNvt2/fXhEREXI6nSosLNSxY8fUt29fczw2NlZHjhxRUVGRnE6n2rdvrw4dOriN79271zx2bGys%2BdanzWZTnz59lJOTU%2B9cAADg8tagyzQkJiaqurpaL7zwgioqKjRz5ky1adNGDz30kO644456H2fcuHHn3X7o0CHZbDa9%2BOKL%2Bvjjj9W6dWvde%2B%2B9%2Bv3vfy/pzD/VExYW5rZP27ZtVVBQYL5F%2Be/j7dq1kyRz/Hz7FhYWSpJcLpeuuuqqc8Z//hbmLykqKjrnrVK7vcU581rN39/P7U9f4svZLkd2u288j758XpLNe/lyPm/K1qCClZWVpWHDhmns2LH66aefZBiG2rZta9mivvnmG9lsNnXu3Fl33XWXdu/erSeffFKtWrXSkCFDVFFRYf724lkBAQGqqqpSRUWFefvfx6QzH6YvLy%2B/4L6S6hyvj8zMzHN%2BmzIpKUkpKSn1PsalCA723Yu9%2BnK2y0lISEtPL8FSvnxeks17%2BXI%2Bb8jWoII1d%2B5cvfbaa/rNb36jNm3aWL0mjRw5UoMGDVLr1q0lnfnw/HfffafXX39dQ4YMUWBg4DmFp6qqSg6Hw61MBQYGmv8tSQ6H44L7BgUFSVKd4/UxduxYJSQkuG2z21uopORkvY/REP7%2BfgoOdqisrFw1NbV17%2BBFfDnb5aixvxeaii%2Bfl2TzXr6cryHZPPUXugYVrE6dOunrr78%2B5600q9hsNrNcndW5c2d99tlnkqTw8HAVFxe7jRcXFys0NFTh4eGSzrzVd/ZzVmffrjs7fqF9f%2BnYF/P2XlhY2Dn3d7mOq7q6aU70mpraJpurqflytsuJrz2Hvnxeks17%2BXI%2Bb8jWoILVvXt3TZs2TStXrlSnTp3MV4rOWrhw4SUt6rnnntPevXu1Zs0ac1teXp46d%2B4sSYqKilJ2drZGjRolSTp27JiOHTumqKgohYeHKyIiQtnZ2WbBys7OVkREhMLCwhQdHa0jR46ooKBAV1xxhTkeHR1tHvvll1%2BWYRiy2WwyDEN79uzR/ffff0mZAADA5aNBBevbb79VbGysJF30da/qY9CgQVqxYoVWrVqlIUOGaOfOnXrnnXe0bt06SdIdd9yhu%2B%2B%2BW9HR0erVq5cWLFigG264wbxExB133KHFixebBWrJkiWaOHGiJKljx44aMGCApk%2BfrrS0NH3xxRfKysoyL2I6bNgwLVmyRAsWLNAf/vAHvfHGGyovL9fw4cMtzwkAAHxTvQtWenq6kpOT1aJFC7366quNuSb17t1bzz33nJYtW6bnnntOV155pZYsWaKYmBhJUkxMjObOnatly5bpX//6l/r376958%2BaZ%2B0%2BaNEk//vijkpOT5e/vr9tvv1333HOPW5a0tDSNGTNGoaGheuqpp9S7d29JUqtWrfTSSy9p1qxZevPNN9WtWzetWLFCLVq0aNTMAADAd9gMwzDqc8cePXpo586dbr8tOHnyZM2fP7/RLz/gC1yu440%2Bh93up5CQliopOdns35u%2BWJ7INnzp35tknsvR%2Bw/19/QSLMH3nHfy5WySb%2BdrSLbQ0F838qrOr94XkjhfD9u9e7cqKystXRAAAIC3a/5X6gIAAPAyFCwAAACLXVTBOvvv8wEAAODCLuoyDfPnz3e75tXp06e1aNEitWzpfpXUS70OFgAAgDerd8Hq27fvOde8iomJUUlJiUpKSixfGAAAgLeqd8Fq7GtfAQAA%2BAo%2B5A4AAGAxChYAAIDFKFgAAAAWo2ABAABYjIIFAABgMQoWAACAxShYAAAAFqNgAQAAWIyCBQAAYDEKFgAAgMUoWAAAABajYAEAAFiMggUAAGAxChYAAIDFKFgAAAAWo2ABAABYjIIFAABgMQoWAACAxShYAAAAFqNgAQAAWIyCBQAAYDEKFgAAgMUoWAAAABajYAEAAFiMggUAAGAxChYAAIDFPF6wqqqqNGLECO3atcvclp%2Bfr3vuuUfR0dG66aabtHPnTrd9PvnkE40YMUJRUVEaP3688vPz3cbXrFmjgQMHKiYmRjNmzFB5ebk5VllZqRkzZiguLk4DBgzQ6tWr3fata24AAIC6eLRgVVZW6uGHH9aBAwfMbYZhKCkpSe3atdOmTZt02223KTk5WUePHpUkHT16VElJSRo1apTeeusttWnTRg8%2B%2BKAMw5AkffDBB8rIyNDcuXO1du1aOZ1OLVq0yDx%2Benq69u3bp7Vr12rWrFnKyMjQtm3b6jU3AABAfXisYB08eFBjxozR4cOH3bZ/9tlnys/P19y5c9WlSxdNmTJF0dHR2rRpkyRp48aNuuaaazRx4kRdffXVWrhwoY4cOaLPP/9ckrRu3TpNmDBBgwYNUu/evTVnzhxt2rRJ5eXlOnXqlDZu3Ki0tDRFRkZqyJAhuu%2B%2B%2B7Rhw4Z6zQ0AAFAfHitYn3/%2Bua699lplZma6bXc6nerZs6datGhhbouNjVVOTo45HhcXZ445HA5FRkYqJydHNTU1%2BuKLL9zGo6Ojdfr0aeXl5SkvL0/V1dWKiYlxO7bT6VRtbW2dcwMAANSH3VMTjxs37rzbXS6XwsLC3La1bdtWBQUFdY6XlZWpsrLSbdxut6t169YqKCiQn5%2BfQkJCFBAQYI63a9dOlZWVKi0trXNuAACA%2BvBYwbqQ8vJytwIkSQEBAaqqqqpzvKKiwrx9vnHDMM47Jp35sH1dc9dXUVGRXC6X2za7vcU55c1q/v5%2Bbn/6El/Odjmy233jefTl85Js3suX83lTtmZXsAIDA1VaWuq2raqqSkFBQeb4zwtPVVWVgoODFRgYaN7%2B%2BbjD4VBNTc15xyQpKCiozrnrKzMzUxkZGW7bkpKSlJKSclHHaajgYEeTzOMJvpztchIS0tLTS7CUL5%2BXZPNevpzPG7I1u4IVHh6ugwcPum0rLi42X/0JDw9XcXHxOeM9evRQ69atFRgYqOLiYnXp0kWSVF1drdLSUoWGhsowDJWUlKi6ulp2%2B5noLpdLQUFBCg4OrnPu%2Bho7dqwSEhLcttntLVRScvKijnOx/P39FBzsUFlZuWpqaht1rqbmy9kuR439vdBUfPm8JJv38uV8Dcnmqb/QNbuCFRUVpRUrVqiiosJ85Sg7O1uxsbHmeHZ2tnn/8vJy7d%2B/X8nJyfLz81OvXr2UnZ2ta6%2B9VpKUk5Mju92u7t27SzrzmaycnBzzg/DZ2dnq1auX/Pz86py7vsLCws4pZS7XcVVXN82JXlNT22RzNTVfznY58bXn0JfPS7J5L1/O5w3Zmt2bmPHx8Wrfvr1SU1N14MABrVixQrm5ubr99tslSYmJidqzZ49WrFihAwcOKDU1VR06dDAL1bhx47Rq1Spt375dubm5mj17tsaMGSOHwyGHw6GRI0dq9uzZys3N1fbt27V69WqNHz%2B%2BXnMDAADUR7MrWP7%2B/nr%2B%2Beflcrk0atQovfvuu1q%2BfLkiIiIkSR06dNCf//xnbdq0SbfffrtKS0u1fPly2Ww2SdLNN9%2BsKVOmaObMmZo4caJ69%2B6t6dOnm8dPTU1VZGSkJkyYoDlz5mjq1Km68cYb6zU3AABAfdiMs5dAR6NyuY43%2Bhx2u59CQlqqpORks3/p9GJ5ItvwpX9vknkuR%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%2B88oqysrKUkZGhZcuWaevWrXrllVfM8dTUVB0/flyZmZl64IEH9MQTTyg3N7fJ8wMAAO/VbAvWoUOH1LVrV4WGhppfwcHBeu%2B99xQYGKhHH31UXbp0UVpamlq2bKlt27ZJktavX6/hw4dr5MiR6t69u9LT0/XRRx8pPz9fkrRu3TqlpKQoLi5O/fr107Rp07RhwwZJ0uHDh7Vjxw7Nnz9fXbt21ejRo3Xrrbfqtdde89jjAAAAvE%2BzLlidOnU6Z7vT6VRsbKxsNpskyWazqU%2BfPsrJyTHH4%2BLizPu3b99eERERcjqdKiws1LFjx9S3b19zPDY2VkeOHFFRUZGcTqfat2%2BvDh06uI3v3bu3kVICAABf1CwLlmEY%2Bvbbb7Vz504NHTpUgwcP1uLFi1VVVSWXy6WwsDC3%2B7dt21YFBQWSpKKioguOu1wuSXIbb9eunSSZ4%2Bfbt7Cw0PKMAADAd9k9vYDzOXr0qMrLyxUQEKClS5fqhx9%2B0Pz581VRUWFu/3cBAQGqqqqSJFVUVFxwvKKiwrz972OSVFVVVeex66uoqMgsc2fZ7S3OKW9W8/f3c/vTl/hytsuR3e4bz6Mvn5dk816%2BnM%2BbsjXLgnXllVdq165d%2Bs1vfiObzaYePXqotrZW06dPV3x8/DmFp6qqSkFBQZKkwMDA8447HA63MhUYGGj%2BtyQ5HI4L7nv22PWVmZmpjIwMt21JSUnmb0E2tuBgR5PM4wm%2BnO1yEhLS0tNLsJQvn5dk816%2BnM8bsjXLgiVJrVu3drvdpUsXVVZWKjQ0VMXFxW5jxcXF5qtD4eHh5x0PDQ1VeHi4JMnlcpmfszr7StPZ8QvtezHGjh2rhIQEt212ewuVlJy8qONcLH9/PwUHO1RWVq6amtq6d/AivpztctTY3wtNxZfPS7J5L1/O15BsnvoLXbMsWP/3f/%2BnadOm6W9/%2B5scjjMt9csvv1Tr1q0VGxurl19%2BWYZhyGazyTAM7dmzR/fff78kKSoqStnZ2Ro1apQk6dixYzp27JiioqIUHh6uiIgIZWdnmwUrOztbERERCgsLU3R0tI4cOaKCggJdccUV5nh0dPRFrT8sLOyctwNdruOqrm6aE72mprbJ5mpqvpztcuJrz6Evn5dk816%2BnM8bsjXLNzFjYmIUGBioJ554Qt98840%2B%2Bugjpaen67777tOwYcNUVlamBQsW6ODBg1qwYIHKy8s1fPhwSdIdd9yhLVu2aOPGjcrLy9Ojjz6qG264QR07djTHFy9erF27dmnXrl1asmSJxo8fL0nq2LGjBgwYoOnTpysvL08bN25UVlaW7rzzTo89FgAAwPs0y1ewWrVqpVWrVumpp55SYmKiWrZsqT/84Q%2B67777ZLPZ9NJLL2nWrFl688031a1bN61YsUItWrSQdKaczZ07V8uWLdO//vUv9e/fX/PmzTOPPWnSJP34449KTk6Wv7%2B/br/9dt1zzz3meHp6utLS0jRmzBiFhobqqaeeUu/evZv6IQAAAF7MZhiG4elFXA5cruONPofd7qeQkJYqKTnZ7F86vVieyDZ86d%2BbZJ7L0fsP9ff0EizB95x38uVskm/na0i20NBfN/Kqzq9ZvkUIAADgzShYAAAAFmuWn8FC/XnT21i%2B8rYQAAB14RUsAAAAi1GwAAAALEbBAgAAsBgFCwAAwGIULAAAAItRsAAAACxGwQIAALAYBQsAAMBiFCwAAACLUbAAAAAsRsECAACwGAULAADAYhQsAAAAi1GwAAAALEbBAgAAsBgFCwAAwGIULAAAAItRsAAAACxGwQIAALAYBQsAAMBiFCwAAACLUbAAAAAsRsECAACwGAULAADAYhQsAAAAi1GwAAAALEbBAgAAsBgFCwAAwGIULAAAAItRsAAAACxGwQIAALAYBes8KisrNWPGDMXFxWnAgAFavXq1p5cEAAC8iN3TC2iO0tPTtW/fPq1du1ZHjx7VY489poiICA0bNszTSwMAAF6AgvUzp06d0saNG/Xyyy8rMjJSkZGROnDggDZs2EDBAgAA9cJbhD%2BTl5en6upqxcTEmNtiY2PldDpVW1vrwZUBAABvwStYP%2BNyuRQSEqKAgABzW7t27VRZWanS0lK1adOmzmMUFRXJ5XK5bbPbWygsLMzy9XqT4Uv/7ukloJnwtnPhr9MGnne7v7%2Bf25%2B%2BhGzey5fzeVM2CtbPlJeXu5UrSebtqqqqeh0jMzNTGRkZbtuSk5M1depUaxb5b/6x4P9/27KoqEiZmZkaO3asz5U5snkvX85XVFSktWtXks3L%2BHI2ybfzeVO25l8Bm1hgYOA5Rers7aCgoHodY%2BzYsdq8ebPb19ixYy1f68%2B5XC5lZGSc8%2BqZLyCb9/LlfGTzTr6cTfLtfN6UjVewfiY8PFwlJSWqrq6W3X7m4XG5XAoKClJwcHC9jhEWFtbsmzUAAGg8vIL1Mz169JDdbldOTo65LTs7W7169ZKfHw8XAACoG43hZxwOh0aOHKnZs2crNzdX27dv1%2BrVqzV%2B/HhPLw0AAHgJ/9mzZ8/29CKam379%2Bmn//v1asmSJPv30U91///1KTEz09LLqpWXLloqPj1fLli09vRTLkc17%2BXI%2BsnknX84m%2BXY%2Bb8lmMwzD8PQiAAAAfAlvEQIAAFiMggUAAGAxChYAAIDFKFgAAAAWo2ABAABYjIIFAABgMQoWAACAxShYAAAAFqNg%2BYDKykrNmDFDcXFxGjBggFavXu3pJf2iwsJCpaSkKD4%2BXgMHDtTChQtVWVkpScrPz9c999yj6Oho3XTTTdq5c6fbvp988olGjBihqKgojR8/Xvn5%2BW7ja9as0cCBAxUTE6MZM2aovLy8yXL93OTJk/X444%2Bbt/fv36/Ro0crKipKiYmJ2rdvn9v9s7KyNHjwYEVFRSkpKUk//fSTOWYYhhYvXqx%2B/fopPj5e6enpqq2tbbIsZ1VVVWnOnDnq27evfve73%2BmZZ57R2WsVe3u%2BY8eOacqUKerTp48SEhK0Zs0ac8xbs1VVVWnEiBHatWuXua0xv8ea%2BmfR%2BfLl5OToD3/4g2JiYjR06FBt3LjRK/OdL9tZx48f18CBA7V582a37ZdyHpaUlGjq1KmKiYlRQkKCtmzZ0qTZjh49qj/%2B8Y%2BKiorSkCFD9N5773llNjcGvN7cuXONW265xdi3b5/xl7/8xYiJiTHef/99Ty/rvGpra40xY8YY9913n/H1118bu3fvNoYMGWI8/fTTRm1trXHLLbcYjzzyiHHw4EHjxRdfNKKioowjR44YhmEYR44cMaKjo41Vq1YZX3/9tfFf//VfxogRI4za2lrDMAxj27ZtRmxsrPG///u/htPpNG666SZjzpw5HsmZlZVldO3a1XjssccMwzCMkydPGv379zeefvpp4%2BDBg8a8efOM3/3ud8bJkycNwzAMp9Np9O7d23j77beNL7/80rjrrruMyZMnm8dbtWqV8Z//%2BZ/G7t27jU8//dQYMGCAsXLlyibP9eSTTxo33nij4XQ6jU8%2B%2BcS49tprjddff90n8o0ZM8Z46KGHjG%2B//db461//akRFRRl/%2BctfvDZbRUWFkZSUZHTt2tX47LPPDMMwGv17rCl/Fp0vX1FRkREXF2csWbLE%2BPbbb42srCyjV69exo4dO7wq3/my/bsnn3zS6Nq1q7Fp0yZz26Weh1OmTDEmTJhgfPXVV8abb75pXHPNNYbT6WySbKdPnzZGjBhh3H///cahQ4eM119/3YiMjDS%2B%2Buorr8r2cxQsL3fy5EmjV69ebt%2BEy5cvN%2B666y4PrurCDh48aHTt2tVwuVzmtq1btxoDBgwwPvnkEyM6Otr8H5dhGMaECROMZcuWGYZhGEuXLnXLderUKSMmJsbMPm7cOPO%2BhmEYu3fvNnr37m2cOnWqsWO5KSkpMa6//nojMTHRLFgbN240EhISzB/ktbW1xpAhQ8wfkNOnTzfvaxiGcfToUaNbt27G4cOHDcMwjP/8z/90%2B2H6zjvvGIMGDWqqSIZhnMnVs2dPY9euXea2l156yXj88ce9Pl9paanRtWtX8we6YRhGcnKyMWfOHK/MduDAAePWW281brnlFrf/kTXm91hT/iy6UL7XXnvNGDZsmNt9n3zySePhhx/2mnwXyvbvaxoyZIjRv39/t/PqUs7D77//3ujatauRn59vjs%2BYMcPteI2Zbfv27UZsbKxx/Phx874PPPCA8cYbb3hNtvPhLUIvl5eXp%2BrqasXExJjbYmNj5XQ6PfIWUl1CQ0O1cuVKtWvXzm37iRMn5HQ61bNnT7Vo0cLcHhsbq5ycHEmS0%2BlUXFycOeZwOBQZGamcnBzV1NToiy%2B%2BcBuPjo7W6dOnlZeX18ip3P33f/%2B3brvtNl111VXmNqfTqdjYWNlsNkmSzWZTnz59Lpitffv2ioiIkNPpVGFhoY4dO6a%2Bffua47GxsTpy5IiKioqaKJWUnZ2tVq1aKT4%2B3tw2efJkLVy40OvzBQUFyeFwaPPmzTp9%2BrS%2B%2BeYb7dmzRz169PDKbJ9//rmuvfZaZWZmum1vzO%2BxpvxZdKF8Zz9y8HMnTpzwmnwXyiadeWvtySef1MyZMxUQEOA2dinnodPpVPv27dWhQwe38b1791qW65eyff7557ruuuvUqlUrc9vzzz%2BvsWPHek2287E3%2BgxoVC6XSyEhIW7fbO3atVNlZaVKS0vVpk0bD67uXMHBwRo4cKB5u7a2VuvXr1e/fv3kcrkUFhbmdv%2B2bduqoKBAkn5xvKysTJWVlW7jdrtdrVu3NvdvCp9%2B%2Bqn%2B8Y9/aOvWrZo9e7a53eVyuRUu6czaDxw4IEkqKiq6YDaXyyVJbuNnC2pBQcE5%2BzWW/Px8XXnllXrnnXf04osv6vTp0xo1apQeeOABr88XGBiomTNnat68eVq3bp1qamo0atQojR49Wh9%2B%2BKHXZRs3btx5tzfm95ifn1%2BT/Sy6UL4OHTq4/Y/0xx9/1P/8z/9o6tSpXpPvQtkk6cUXX1TPnj01YMCAc8Yu5Ty80ONSWFjY4Bznc6FsZ3%2B2LF68WFu2bFFISIhSUlI0ePBgSd6R7XwoWF6uvLz8nL/JnL1dVVXliSVdlEWLFmn//v166623tGbNmvNmOZvjQlmrqqpUUVFh3r7Q/o2tsrJSs2bN0syZMxUUFOQ29ktrl6SKioqLyuaJ5/jUqVP6/vvv9cYbb2jhwoVyuVyaOXOmHA6HT%2BQ7dOiQBg0apHvvvVcHDhzQvHnzdN111/lEtrPqynIp32OGYTSrn0UVFRWaOnWq2rVrZ74S4s35Dh48qDfeeEPvvvvueccv5Tys67xobKdOndLbb7%2Btm276/9q5v5Cm%2Bj8O4O%2BfCdMb8cYNtNAuEv%2BdztmKUhxEIwwaQRdBFwWFRULF6MYiSApGQYzyIqF20xhG5igYrBjUYjMAAAXwSURBVC7Koj8QGTRN0IRWa1FtVCNF7S%2Bzz%2B/CZ%2BfZLJ94aFPPw/sFA3e%2B%2B3Pe8j3f89nhe76bcP78eTx69Agulwu9vb1QFMWw2VhgGZzJZPqpo6Sfzz7JLzYejwd%2Bvx%2BdnZ2orq6GyWTC%2BPh41mu%2Bf/%2Bu55gra0lJCUwmk/58dntxcXEeU/ytq6sLDQ0NWVfo0uba999lKy4uzhosZuecr2zAzK/5qakpnD59GhUVFQBm7vzp6elBZWWlofM9fPgQV65cwb1791BUVARFUfDu3TucO3cOy5YtM3S2TPk8xqanpxfNWPTp0yfs27cPsVgMly5d0v/XRs0nIjh69ChcLtdP0yvS/qQf/m58yrclS5agtLQUx48fR0FBAerr6/H48WMEAgEoimLYbJyDZXAWiwVjY2NIpVL6tg8fPqCoqAglJSULuGf/zO12w%2BfzwePxYOPGjQBmsiSTyazXJZNJ/fLuXO1lZWUoLS2FyWTKak%2BlUhgfH0dZWVme08y4fv06bt26BavVCqvVilAohFAoBKvV%2BkfZLBYLAOiXwjP/nq9s6e8ymUx6cQUAy5cvRyKRMHy%2B4eFhVFZWZg26dXV1iMfjhs%2BWKZ/H2GIZi6amprB7925EIhH4/X5UVVXpbUbNF4/HMTg4iFOnTunjSzwex7Fjx7Bnz57fZvtdP/yn984Hs9mMqqoqFBT8XZKkxxbAuNlYYBlcbW0tCgsL9UmqwMxkZEVRsjrrYtLV1YXLly/jzJkzcDqd%2BnZVVTEyMqJf8gVmsqiqqreHw2G97cuXL3j69ClUVUVBQQEURclqf/LkCQoLC1FTUzMPqYDu7m6EQiEEg0EEg0E4HA44HA4Eg0GoqorBwUF9zSgRwcDAwJzZEokEEokEVFWFxWJBeXl5Vns4HEZ5efm8zb9K7%2BO3b9/w8uVLfVs0GkVFRYXh85nNZrx69Srrl240GsXSpUsNny1TPo%2BxxTAW/fjxAwcOHMCbN2/Q3d2NFStWZLUbNZ/FYsHNmzf1sSUYDMJsNsPlcuHEiRO/zPZv%2BqGmaXj79m3WfNVwOAxN0/KaK01VVUQiEUxPT%2BvbXrx4of%2BYM2y2vN%2BnSHnX0dEhTqdThoaGpK%2BvT2w2m9y4cWOhd%2BuXnj9/LrW1tdLZ2Snv37/PeqRSKdm0aZMcPHhQnj17Jl6vVzRN09foef36tSiKIl6vV1/DZvPmzfrt89euXRObzSZ9fX0yNDQkTqdT3G73gmU9fPiwfivw5OSkNDY2itvtlkgkIm63W5qbm/Xb5QcGBqS%2Bvl4CgYC%2BzktbW5v%2BWV6vV%2Bx2u/T390t/f7/Y7Xa5cOHCvGfau3evbNu2TUZHR%2BX%2B/fvS2Ngofr/f8PkmJiakublZ2tvbJRqNyu3bt2XNmjXS09Nj%2BGyZt8Pn%2BxhbiLEoM19vb6/U1NTInTt3ssaWsbExQ%2Babax0sEZH169dnLU3wp/2wtbVVduzYIaOjoxIIBERRlLyuFZWZbXJyUux2u3R0dEgsFpOLFy9KXV2dDA8PGzJbGgus/4DPnz/LoUOHRNM0sdvt4vP5FnqX5uT1eqW6uvqXDxGRWCwm27dvl4aGBnE6nfLgwYOs99%2B9e1daWlpk5cqVsnPnTn0dlMzPb2pqklWrVsmRI0fk69ev85ZttswCS2RmsbwtW7aIoiiydetWGRkZyXr91atXZd26daJpmuzfv18%2Bfvyot6VSKTl58qSsXr1a1q5dKx6PRz8pzKeJiQlpb28XTdOkqalJzp49q%2B%2BH0fNFIhHZtWuX2Gw22bBhg/h8vv9Ettkn6XweYwsxFmXma21t/eXYkrlWlZHy/ZsCS%2BTP%2BmEymZS2tjZRFEUcDoeEQqH8hPrL7GyRSETvly0tLT8VrkbKlvY/kb%2BuexMRERFRTizOSTpEREREBsYCi4iIiCjHWGARERER5RgLLCIiIqIcY4FFRERElGMssIiIiIhyjAUWERERUY6xwCIiIiLKMRZYRERERDnGAouIiIgox1hgEREREeUYCywiIiKiHGOBRURERJRj/weU7lOMx29QxwAAAABJRU5ErkJggg%3D%3D"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common2236837571530093641">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">3505.89</td>
<td class="number">405</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">3499.45</td>
<td class="number">20</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">3497.81</td>
<td class="number">20</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">3503.51</td>
<td class="number">19</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">3501.94</td>
<td class="number">19</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">3502.34</td>
<td class="number">19</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">3508.59</td>
<td class="number">19</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">3501.14</td>
<td class="number">18</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">3499.21</td>
<td class="number">18</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">3505.78</td>
<td class="number">18</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (364015)</td>
<td class="number">568418</td>
<td class="number">99.7%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">1307</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme2236837571530093641">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">-141.2499</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-140.8897</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-140.5294</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-140.1692</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-139.809</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">15450.1</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">15529.95</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">15530.75</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">15591.4</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">15645.75</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4">FIC87211.SV<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>163602</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>28.8%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.2%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1307</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>4369.3</td>
</tr>
<tr>
<th>Minimum</th>
<td>0</td>
</tr>
<tr>
<th>Maximum</th>
<td>14000</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-8620491047367429530">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAARVJREFUeJzt3csJwkAARVEjlmQR6cm1PVlEehobkAsK%2BUjOWWfxNpfJYmCmMca4AB9d9x4AR3bbe8A/uT9eX32/POeVlrAVJwgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUA47XX3b6%2Buc05OEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoFw2ucPtvDLEwvLc15hCb%2Baxhhj7xFwVH6xIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAILwBYMoP%2BnIYLcsAAAAASUVORK5CYII%3D">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives-8620491047367429530,#minihistogram-8620491047367429530"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives-8620491047367429530">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles-8620491047367429530"
aria-controls="quantiles-8620491047367429530" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram-8620491047367429530" aria-controls="histogram-8620491047367429530"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common-8620491047367429530" aria-controls="common-8620491047367429530"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme-8620491047367429530" aria-controls="extreme-8620491047367429530"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles-8620491047367429530">
<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>3500.2</td>
</tr>
<tr>
<th>Q1</th>
<td>4000.9</td>
</tr>
<tr>
<th>Median</th>
<td>4366.3</td>
</tr>
<tr>
<th>Q3</th>
<td>4711.1</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>5337</td>
</tr>
<tr>
<th>Maximum</th>
<td>14000</td>
</tr>
<tr>
<th>Range</th>
<td>14000</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>710.27</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>623.12</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.14261</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>34.598</td>
</tr>
<tr>
<th>Mean</th>
<td>4369.3</td>
</tr>
<tr>
<th>MAD</th>
<td>455.85</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>2.7469</td>
</tr>
<tr>
<th>Sum</th>
<td>2486100000</td>
</tr>
<tr>
<th>Variance</th>
<td>388280</td>
</tr>
<tr>
<th>Memory size</th>
<td>4.4 MiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram-8620491047367429530">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzs3XlclXX%2B//8ncAY46jCiAiPqd7xp40Z6QBBt1Ao%2BmlqWFi6TOWraRyuUT5NpKea%2BNKBlDraYe27kUiafshnn48c%2B5pKDcsgxSm2RVOBQEC4sAtfvD3%2Be25zUWLyM5Tzutxs3Pe/Xud7X%2B3UWfHJdlwcPwzAMAQAAwDSeNb0AAACA%2BoaABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgshoNWN9%2B%2B63GjRunsLAw3XvvvVq5cqWzNn/%2BfLVv397la8OGDc56SkqK%2BvTpI5vNptjYWP3www/OmmEYWrx4sXr06KHIyEglJCSovLzcWc/Ly9OkSZMUFham6Oho7dy502VdJ06c0NChQ2Wz2RQTE6Pjx4/fxkcBAADUNzUWsMrLyzV%2B/Hj5%2B/vr3Xff1Zw5c/T6669r165dkqTTp09r8uTJ2r9/v/MrJiZGkpSenq74%2BHhNnDhRycnJKigo0LRp05xzr1mzRikpKUpKStKyZcu0a9curVmzxlmfNm2aLly4oOTkZD311FOaMWOG0tPTJUmXL1/W%2BPHjFRERoR07digsLEwTJkzQ5cuXf8FHBwAA1GU1FrByc3PVsWNHzZ49W61bt9Y999yju%2B66S6mpqZKuBqxOnTopICDA%2BWW1WiVJGzZs0IABAzR48GB16NBBCQkJ2rdvnzIzMyVJ69evV1xcnCIiItSjRw8999xz2rhxoyTpzJkz2rt3r%2BbPn6927dpp6NCheuihh7Rp0yZJ0gcffCAfHx9NnTpVbdu2VXx8vBo2bKjdu3fXwKMEAADqohoLWIGBgVq6dKkaNWokwzCUmpqqI0eOKDIyUhcvXlR2drZat259w23tdrsiIiKct5s3b67g4GDZ7XZlZ2fr/Pnz6tatm7MeHh6us2fPKicnR3a7Xc2bN1fLli1d6seOHXPOHR4eLg8PD0mSh4eHunbtqrS0tNvwKAAAgPrIUtMLkKTo6GidO3dOUVFR6tevn44fPy4PDw%2B98cYb%2Bvjjj9W4cWM9/vjjevjhhyVJOTk5CgwMdJmjadOmysrKksPhkCSXerNmzSTJWb/RttnZ2ZIkh8OhO%2B6447r6yZMnK91PTk6Ocx3XBAQEXLdfAABQP9WKgLVs2TLl5uZq9uzZWrRokUJCQuTh4aE2bdpo5MiROnLkiF588UU1atRIffv2VVFRkby9vV3m8Pb2VklJiYqKipy3/70mSSUlJSosLLzptpIqrFdGcnKykpKSXMZiY2MVFxdX6TkAAEDdVSsCVufOnSVJxcXFeu6553T06FFFRUWpcePGkqQOHTrom2%2B%2B0ebNm9W3b1/5%2BPhcF3hKSkpktVpdwpSPj4/z75JktVpvuq2vr68kVVivjOHDhys6OtplzGJpoLy8S5WeozK8vDzl52dVQUGhysrKK96gnqBv9%2Bpbct/e3bVvyX17p2/z%2B/b3b2jqfJVVYwErNzdXaWlp6tOnj3Psjjvu0JUrV3Tx4kU1adLE5f5t2rTRoUOHJElBQUHKzc29br6AgAAFBQVJunqq79p1VtdO112r32zbn5u7Kqf3AgMDr7u/w3FBpaW3581SVlZ%2B2%2Bauzejb/bhr7%2B7at%2BS%2BvdN33VdjF7l/9913mjhxovPaJ0k6fvy4mjRporfffltjxoxxuX9GRobatGkjSbLZbM7/bShJ58%2Bf1/nz52Wz2RQUFKTg4GCXempqqoKDgxUYGKjQ0FCdPXtWWVlZLvXQ0FDn3MeOHZNhGJKufqbW0aNHZbPZTH8MAABA/VRjAatz584KCQnR9OnTderUKe3bt0%2BJiYl68sknFRUVpSNHjmjVqlU6c%2BaMNm3apPfee09jx46VJD366KPauXOntm7dqoyMDE2dOlX33nuvWrVq5awvXrxYhw8f1uHDh7VkyRKNGjVKktSqVSv16tVLU6ZMUUZGhrZu3aqUlBQ99thjkqT%2B/furoKBACxYs0KlTp7RgwQIVFhZqwIABNfNAAQCAOsfDuHaopgZkZ2dr3rx5OnjwoKxWq0aOHKkJEybIw8NDe/bs0bJly/TNN9%2BoRYsW%2BvOf/6z77rvPue2OHTu0bNky/fjjj%2BrZs6fmzZsnf39/SVJZWZkSEhK0Y8cOeXl5aciQIZo8ebLzoxe%2B//57xcfH68CBAwoICNCf//xnDRw40Dl3enq6Zs2apdOnT6t9%2B/aaM2eOOnXqdEu9OhwXbmn7G7FYPOXv31B5eZfqzSHVyqBv9%2Bpbct/e3bVvyX17p2/z%2Bw4I%2BLWp81VWjQYsd0LAMg99u1ffkvv27q59S%2B7bO33Xn4DFL3sGAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExWY7/sGYC5Biz9pKaXUGkfPtOzppcAALcVR7AAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMVqMB69tvv9W4ceMUFhame%2B%2B9VytXrnTWMjMzNWbMGIWGhur%2B%2B%2B/X/v37XbY9cOCABg4cKJvNplGjRikzM9OlvnbtWvXu3VthYWGaPn26CgsLnbXi4mJNnz5dERER6tWrl1avXu2ybUX7BgAA%2BDk1FrDKy8s1fvx4%2Bfv7691339WcOXP0%2Buuva9euXTIMQ7GxsWrWrJm2b9%2BuQYMGaeLEiTp37pwk6dy5c4qNjdUjjzyibdu2qUmTJnr66adlGIYk6aOPPlJSUpLmzp2rdevWyW63KzEx0bnvhIQEHT9%2BXOvWrdOsWbOUlJSk3bt3S1KF%2BwYAAKiIpaZ2nJubq44dO2r27Nlq1KiRWrdurbvuukupqalq1qyZMjMztWXLFjVo0EBt27bVwYMHtX37dk2aNElbt27VnXfeqbFjx0qSFi1apJ49e%2BrTTz9V9%2B7dtX79eo0ePVpRUVGSpDlz5mjcuHGaMmWKDMPQ1q1b9dZbbykkJEQhISE6efKkNm7cqP79%2B%2BvQoUM/u28AAICK1NgRrMDAQC1dulSNGjWSYRhKTU3VkSNHFBkZKbvdrk6dOqlBgwbO%2B4eHhystLU2SZLfbFRER4axZrVaFhIQoLS1NZWVl%2Buyzz1zqoaGhunLlijIyMpSRkaHS0lKFhYW5zG2321VeXl7hvgEAACpSY0ew/l10dLTOnTunqKgo9evXTwsXLlRgYKDLfZo2baqsrCxJksPhuGm9oKBAxcXFLnWLxaLGjRsrKytLnp6e8vf3l7e3t7PerFkzFRcXKz8//2fnrqycnBw5HA6XMYulwXXz3iovL0%2BXP90Ffdf9vi2WqvVQn3qvCnftW3Lf3um7/vRdKwLWsmXLlJubq9mzZ2vRokUqLCx0CUCS5O3trZKSEkn62XpRUZHz9o3qhmHcsCZJJSUlFe67MpKTk5WUlOQyFhsbq7i4uErPURV%2BftbbMm9tR991l79/w2ptVx96rw537Vty397pu%2B6rFQGrc%2BfOkq7%2B777nnntOMTExLv/rT7oafnx9fSVJPj4%2B1wWekpIS%2Bfn5ycfHx3n7p3Wr1aqysrIb1iTJ19dXPj4%2Bys/Pv%2Bm%2BK2P48OGKjo52GbNYGigv71Kl56gMLy9P%2BflZVVBQqLKyclPnrs3ou%2B73XdX3Qn3qvSrctW/JfXunb/P7ru4PdLeqRi9yT0tLU58%2BfZxjd9xxh65cuaKAgAB99dVX193/2im2oKAg5ebmXlfv2LGjGjduLB8fH%2BXm5qpt27aSpNLSUuXn5ysgIECGYSgvL0%2BlpaWyWK6273A45OvrKz8/PwUFBenUqVM33XdlBAYGXnd/h%2BOCSktvz5ulrKz8ts1dm9F33VXd9deH3qvDXfuW3Ld3%2Bq77auxk53fffaeJEycqOzvbOXb8%2BHE1adJE4eHh%2Bte//uU83SdJqampstlskiSbzabU1FRnrbCwUCdOnJDNZpOnp6c6d%2B7sUk9LS5PFYlGHDh3UsWNHWSwWl4vWU1NT1blzZ3l6espms/3svgEAACpSYwGrc%2BfOCgkJ0fTp03Xq1Cnt27dPiYmJevLJJxUZGanmzZtr2rRpOnnypFasWKH09HQNGTJEkhQTE6OjR49qxYoVOnnypKZNm6aWLVuqe/fukqQRI0Zo1apV2rNnj9LT0zV79mwNGzZMVqtVVqtVgwcP1uzZs5Wenq49e/Zo9erVGjVqlCRVuG8AAICK1FjA8vLy0muvvSar1arhw4crPj5ef/rTnzRq1ChnzeFw6JFHHtH777%2Bv5cuXKzg4WJLUsmVL/fWvf9X27ds1ZMgQ5efna/ny5fLw8JAkPfDAA5owYYJmzpypsWPHqkuXLpoyZYpz39OmTVNISIhGjx6tOXPmaNKkSbrvvvtc1nWzfQMAAFTEw7j28ee4rRyOC6bPabF4yt%2B/ofLyLtWbc9aVQd837nvA0k9qYFXV8%2BEzPat0f55z9%2Bpbct/e6dv8vgMCfm3qfJVVfz5wAgAAoJYgYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJquxgJWdna24uDhFRkaqd%2B/eWrRokYqLiyVJ8%2BfPV/v27V2%2BNmzY4Nw2JSVFffr0kc1mU2xsrH744QdnzTAMLV68WD169FBkZKQSEhJUXl7urOfl5WnSpEkKCwtTdHS0du7c6bKuEydOaOjQobLZbIqJidHx48dv8yMBAADqmxoJWIZhKC4uToWFhdq4caNeeeUV7d27V0uXLpUknT59WpMnT9b%2B/fudXzExMZKk9PR0xcfHa%2BLEiUpOTlZBQYGmTZvmnHvNmjVKSUlRUlKSli1bpl27dmnNmjXO%2BrRp03ThwgUlJyfrqaee0owZM5Seni5Junz5ssaPH6%2BIiAjt2LFDYWFhmjBhgi5fvvwLPjoAAKCuq5GA9dVXXyktLU2LFi3S73//e0VERCguLk4pKSmSrgasTp06KSAgwPlltVolSRs2bNCAAQM0ePBgdejQQQkJCdq3b58yMzMlSevXr1dcXJwiIiLUo0cPPffcc9q4caMk6cyZM9q7d6/mz5%2Bvdu3aaejQoXrooYe0adMmSdIHH3wgHx8fTZ06VW3btlV8fLwaNmyo3bt318CjBAAA6qoaCVgBAQFauXKlmjVr5jJ%2B8eJFXbx4UdnZ2WrduvUNt7Xb7YqIiHDebt68uYKDg2W325Wdna3z58%2BrW7duznp4eLjOnj2rnJwc2e12NW/eXC1btnSpHzt2zDl3eHi4PDw8JEkeHh7q2rWr0tLSzGodAAC4gRoJWH5%2Bfurdu7fzdnl5uTZs2KAePXro9OnT8vDw0BtvvKG7775bDz30kN59913nfXNychQYGOgyX9OmTZWVlSWHwyFJLvVrIe5a/UbbZmdnS9JN61lZWSZ0DQAA3IWlphcgSYmJiTpx4oS2bdumf/3rX/Lw8FCbNm00cuRIHTlyRC%2B%2B%2BKIaNWqkvn37qqioSN7e3i7be3t7q6SkREVFRc7b/16TpJKSEhUWFt50W0kV1isrJyfHGfausVgaXBfebpWXl6fLn%2B6Cvut%2B3xZL1XqoT71Xhbv2Lblv7/Rdf/qu8YCVmJiodevW6ZVXXlG7du30%2B9//XlFRUWrcuLEkqUOHDvrmm2%2B0efNm9e3bVz4%2BPtcFnpKSElmtVpcw5ePj4/y7JFmt1ptu6%2BvrK0kV1isrOTlZSUlJLmOxsbGKi4ur0jyV5ednvS3z1nb0XXf5%2Bzes1nb1offqcNe%2BJfftnb7rvhoNWPPmzdPmzZuVmJiofv36Sbp63dO1cHVNmzZtdOjQIUlSUFCQcnNzXeq5ubkKCAhQUFCQpKun%2Bq5dZ3XtSNK1%2Bs22/bm5q3rkafjw4YqOjnYZs1gaKC/vUpXmqYiXl6f8/KwqKChUWVl5xRvUE/Rd9/uu6nuhPvVeFe7at%2BS%2BvdO3%2BX1X9we6W1VjASspKUlbtmzRyy%2B/rP79%2BzvHX331VR07dkxr1651jmVkZKhNmzaSJJvNptTUVD3yyCOSpPPnz%2Bv8%2BfOy2WwKCgpScHCwUlNTnQErNTVVwcHBCgwMVGhoqM6ePausrCz99re/ddZDQ0Odc7/11lsyDEMeHh4yDENHjx7Vk08%2BWaXeAgMDrwtlDscFlZbenjdLWVn5bZu7NqPvuqu6668PvVeHu/YtuW/v9F331cjJztOnT%2Bu1117Tf/7nfyo8PFwOh8P5FRUVpSNHjmjVqlU6c%2BaMNm3apPfee09jx46VJD366KPauXOntm7dqoyMDE2dOlX33nuvWrVq5awvXrxYhw8f1uHDh7VkyRKNGjVKktSqVSv16tVLU6ZMUUZGhrZu3aqUlBQ99thjkqT%2B/furoKBACxYs0KlTp7RgwQIVFhZqwIABNfEwAQCAOqpGjmD94x//UFlZmV5//XW9/vrrLrUvvvhCr776qpYtW6ZXX31VLVq00JIlSxQWFiZJCgsL09y5c7Vs2TL9%2BOOP6tmzp%2BbNm%2Bfcfty4cfr%2B%2B%2B81ceJEeXl5aciQIRozZoyznpCQoPj4eA0bNkwBAQFauHChunTpIklq1KiR3nzzTc2aNUvvvPOO2rdvrxUrVqhBgwa3/0EBAAD1hodhGEZNL8IdOBwXTJ/TYvGUv39D5eVdqjeHVCuDvm/c94Cln9TAqqrnw2d6Vun%2BPOfu1bfkvr3Tt/l9BwT82tT5Kqv%2B/H9IAACAWoKABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMksNb0AoLYasPSTml4CAKCO4ggWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyaoVsIYOHaotW7bowoULZq8HAACgzqtWwOrRo4feeOMN9erVS88%2B%2B6z2798vwzDMXhsAAECdVK2ANXnyZO3du1evvfaavLy8NGnSJN1777165ZVX9PXXX5u9RgAAgDrFUt0NPTw81LNnT/Xs2VOFhYV6%2B%2B239dprr2nFihXq2rWrRo8erfvuu8/MtQIAANQJ1Q5YkpSTk6P3339f77//vr788kt17dpVDz/8sLKysjRjxgwdOXJE8fHxZq0VAACgTqjWKcKdO3dq7NixioqK0rp163TPPfdo9%2B7d2rRpk4YOHapJkyZp6tSp2rZt203nyM7OVlxcnCIjI9W7d28tWrRIxcXFkqTMzEyNGTNGoaGhuv/%2B%2B7V//36XbQ8cOKCBAwfKZrNp1KhRyszMdKmvXbtWvXv3VlhYmKZPn67CwkJnrbi4WNOnT1dERIR69eql1atXu2xb0b4BAAAqUq2AFR8fr4YNG2r58uXat2%2BfJk%2BerNatW7vcp02bNho5cuQNtzcMQ3FxcSosLNTGjRv1yiuvaO/evVq6dKkMw1BsbKyaNWum7du3a9CgQZo4caLOnTsnSTp37pxiY2P1yCOPaNu2bWrSpImefvpp50X2H330kZKSkjR37lytW7dOdrtdiYmJzn0nJCTo%2BPHjWrdunWbNmqWkpCTt3r3bua6f2zcAAEBlVOsU4ccffyx/f3/l5%2BfL0/NqRktPT1dISIi8vLwkSV27dlXXrl1vuP1XX32ltLQ0ffLJJ2rWrJkkKS4uTn/5y1909913KzMzU1u2bFGDBg3Utm1bHTx4UNu3b9ekSZO0detW3XnnnRo7dqwkadGiRerZs6c%2B/fRTde/eXevXr9fo0aMVFRUlSZozZ47GjRunKVOmyDAMbd26VW%2B99ZZCQkIUEhKikydPauPGjerfv78OHTr0s/sGAACojGodwbp48aL69%2B%2Bvt956yzk2fvx4DRo0SOfPn69w%2B4CAAK1cudIZrv59Xrvdrk6dOqlBgwbO8fDwcKWlpUmS7Ha7IiIinDWr1aqQkBClpaWprKxMn332mUs9NDRUV65cUUZGhjIyMlRaWqqwsDCXue12u8rLyyvcNwAAQGVU6wjWwoUL9bvf/U6PP/64c%2ByDDz7Q888/r0WLFmnZsmU/u72fn5969%2B7tvF1eXq4NGzaoR48ecjgcCgwMdLl/06ZNlZWVJUk/Wy8oKFBxcbFL3WKxqHHjxsrKypKnp6f8/f3l7e3trDdr1kzFxcXKz8%2BvcN%2BVlZOTI4fD4TJmsTS4bu5b5eXl6fKnu3DXvusTi6Vqz527Pufu2rfkvr3Td/3pu1oB65///KfeeecdBQQEOMeaNGmiqVOn6rHHHqvyfImJiTpx4oS2bdumtWvXugQgSfL29lZJSYkkqbCw8Kb1oqIi5%2B0b1Q3DuGFNkkpKSn527qpITk5WUlKSy1hsbKzi4uKqNE9l%2BflZb8u8tZ279l0f%2BPs3rNZ27vqcu2vfkvv2Tt91X7UClsViUUFBwXXjhYWFVf5E98TERK1bt06vvPKK2rVrJx8fH%2BXn57vcp6SkRL6%2BvpIkHx%2Bf6wJPSUmJ/Pz85OPj47z907rValVZWdkNa5Lk6%2Btb4b4ra/jw4YqOjnYZs1gaKC/vUpXmqYiXl6f8/KwqKChUWVm5qXPXZu7ad31S1feCuz7n7tq35L6907f5fVf3B7pbVa2Adffdd2v%2B/Pl6%2BeWX9f/%2B3/%2BTdPXjDRYtWuRy6q8i8%2BbN0%2BbNm5WYmKh%2B/fpJkoKCgnTq1CmX%2B%2BXm5jpPrwUFBSk3N/e6eseOHdW4cWP5%2BPgoNzdXbdu2lSSVlpYqPz9fAQEBMgxDeXl5Ki0tlcVytXWHwyFfX1/5%2BflVuO/KCgwMvG4bh%2BOCSktvz5ulrKz8ts1dm7lr3/VBdZ83d33O3bVvyX17p%2B%2B6r1onO59//nmVlJSoX79%2B6t69u7p376777rtPV65c0bRp0yo1R1JSkrZs2aKXX35ZDzzwgHPcZrPpX//6l/N0nySlpqbKZrM566mpqc5aYWGhTpw4IZvNJk9PT3Xu3NmlnpaWJovFog4dOqhjx46yWCwuF62npqaqc%2BfO8vT0rHDfAAAAlVGtI1hNmzbVu%2B%2B%2BqwMHDujkyZOyWCy64447dNddd8nDw6PC7U%2BfPq3XXntN48ePV3h4uMsF4ZGRkWrevLmmTZump59%2BWnv37lV6eroWLVokSYqJidGqVau0YsUKRUVFafny5WrZsqW6d%2B8uSRoxYoRmzpypdu3aKTAwULNnz9awYcNktV49rzt48GDNnj1bCxcuVE5OjlavXu2cu6J9AwAAVIaHUdWLpkywYsUKLVmy5Ia1L774Qt9%2B%2B63i4%2BNlt9v1u9/9TtOnT9cf/vAH53327dunhQsXKisrS2FhYZo3b55atWrlMv/atWtVUlKi%2B%2B67T7NmzXJen1VYWKjZs2frb3/7mxo1aqRx48ZpzJgxzm0r2nd1ORwXbnmOn7JYPOXv31B5eZfqzSHVyvil%2Bh6w9JPbNre7%2B/CZnlW6P6919%2Bpbct/e6dv8vgMCfm3qfJVVrYDlcDi0dOlSHT16VFeuXLnuwvZ//OMfpi2wviBgmYeAVfcRsCrHXfuW3Ld3%2Bq4/AatapwhffPFFHT9%2BXA888IB%2B/euaWTgAAEBtVa2AdejQIa1cudLlE9MBAABwVbX%2BF2GDBg3UtGlTs9cCAABQL1QrYA0aNEgrV65UWVmZ2esBAACo86p1ijA/P18pKSn63//9X7Vq1eq6Xy%2Bzfv16UxYHAABQF1UrYEnSwIEDzVwHAABAvVGtgMUHbwIAANxcta7BkqScnBwlJSVp8uTJ%2Bv7777V792599dVXZq4NAACgTqpWwPr222/14IMP6t1339VHH32ky5cv64MPPlBMTIzsdrvZawQAAKhTqhWwXnrpJfXp00d79uzRr371K0nSyy%2B/rOjoaC1evNjUBQIAANQ11QpYR48e1eOPP%2B7yi50tFouefvppnThxwrTFAQAA1EXVCljl5eUqL7/%2BdwVdunRJXl5et7woAACAuqxaAatXr1568803XUJWfn6%2BEhMT1aNHD9MWBwAAUBdVK2C98MILOn78uHr16qXi4mI99dRTioqK0nfffafnn3/e7DUCAADUKdX6HKygoCC99957SklJ0eeff67y8nI9%2BuijGjRokBo1amT2GgEAAOqUan%2BSu9Vq1dChQ81cCwAAQL1QrYA1atSon63zuwgBAIA7q1bAatGihcvt0tJSffvtt/ryyy81evRoUxYGAABQV5n6uwiXL1%2BurKysW1oQAABAXVft30V4I4MGDdKHH35o5pQAAAB1jqkB69ixY3zQKAAAcHumXeR%2B8eJFffHFFxoxYsQtLwoAAKAuq1bACg4Odvk9hJL0q1/9SiNHjtRDDz1kysIAAADqqmoFrJdeesnsdQAAANQb1QpYR44cqfR9u3XrVp1dAAAYNn2rAAAgAElEQVQA1FnVClh/%2BtOfnKcIDcNwjv90zMPDQ59//vmtrhEAAKBOqVbAeuONNzR//nxNmTJFkZGR8vb21meffaa5c%2Bfq4Ycf1v3332/2OgEAAOqMan1Mw6JFizRz5kz169dP/v7%2BatiwoXr06KG5c%2Bdq8%2BbNatGihfMLAADA3VQrYOXk5NwwPDVq1Eh5eXm3vCgAAIC6rFoBKzQ0VC%2B//LIuXrzoHMvPz1diYqLuuusu0xYHAABQF1XrGqwZM2Zo1KhRuvvuu9W6dWsZhqFvvvlGAQEBWr9%2BvdlrBAAAqFOqFbDatm2rDz74QCkpKTp9%2BrQk6bHHHtMDDzwgq9Vq6gIBAADqmmoFLEn6zW9%2Bo6FDh%2Bq7775Tq1atJF39NHcAAAB3V61rsAzD0OLFi9WtWzcNHDhQWVlZev755xUfH68rV66YvUYAAIA6pVoB6%2B2339bOnTs1a9YseXt7S5L69OmjPXv2KCkpqcrzlZSUaODAgTp8%2BLBzbP78%2BWrfvr3L14YNG5z1lJQU9enTRzabTbGxsfrhhx%2BctWsBsEePHoqMjFRCQoLKy8ud9by8PE2aNElhYWGKjo7Wzp07XdZz4sQJDR06VDabTTExMTp%2B/HiVewIAAO6rWgErOTlZM2fO1COPPOL89Pb7779f8%2BfP165du6o0V3FxsZ599lmdPHnSZfz06dOaPHmy9u/f7/yKiYmRJKWnpys%2BPl4TJ05UcnKyCgoKNG3aNOe2a9asUUpKipKSkrRs2TLt2rVLa9ascdanTZumCxcuKDk5WU899ZRmzJih9PR0SdLly5c1fvx4RUREaMeOHQoLC9OECRN0%2BfLl6jxUAADADVUrYH333Xfq2LHjdeMdOnSQw%2BGo9DynTp3SsGHDdObMmetqp0%2BfVqdOnRQQEOD8unYB/YYNGzRgwAANHjxYHTp0UEJCgvbt26fMzExJ0vr16xUXF6eIiAj16NFDzz33nDZu3ChJOnPmjPbu3av58%2BerXbt2Gjp0qB566CFt2rRJkvTBBx/Ix8dHU6dOVdu2bRUfH6%2BGDRtq9%2B7dVX6cAACAe6pWwGrRooU%2B%2B%2Byz68Y//vhj5wXvlfHpp5%2Bqe/fuSk5Odhm/ePGisrOz1bp16xtuZ7fbFRER4bzdvHlzBQcHy263Kzs7W%2BfPn3f5JdPh4eE6e/ascnJyZLfb1bx5c7Vs2dKlfuzYMefc4eHhziNzHh4e6tq1q9LS0irdFwAAcG/V%2Bl%2BE48aN05w5c%2BRwOGQYhg4ePKjk5GS9/fbbeuGFFyo9z4gRI244fvr0aXl4eOiNN97Qxx9/rMaNG%2Bvxxx/Xww8/LOnqJ8kHBga6bNO0aVNlZWU5j6D9e71Zs2aS5KzfaNvs7GxJksPh0B133HFd/aenMH9OTk7OdUfyLJYG1%2B33Vnl5ebr86S7cte/6xGKp2nPnrs%2B5u/YtuW/v9F1/%2Bq5WwIqJiVFpaalef/11FRUVaebMmWrSpImeeeYZPfroo7e8qK%2B%2B%2BkoeHh5q06aNRo4cqSNHjujFF19Uo0aN1LdvXxUVFTkvrr/G29tbJSUlKioqct7%2B95p09WL6wsLCm24rqcJ6ZSQnJ193sX9sbKzi4uIqPUdV%2BPm552ePuWvf9YG/f8Nqbeeuz7m79i25b%2B/0XfdVK2ClpKSof//%2BGj58uH744QcZhqGmTZuatqjBgwcrKipKjRs3lnT12q5vvvlGmzdvVt%2B%2BfeXj43Nd4CkpKZHVanUJUz4%2BPs6/S5LVar3ptr6%2BvpJUYb0yhg8frujoaJcxi6WB8vIuVXqOyvDy8pSfn1UFBYUqKyuveIN6wl37rk%2Bq%2Bl5w1%2BfcXfuW3Ld3%2Bja/7%2Br%2BQHerqhWw5s6dq02bNuk3v/mNmjRpYvaa5OHh4QxX17Rp00aHDh2SJAUFBSk3N9elnpubq4CAAAUFBUm6eqrv2nVW107XXavfbNufm7sqp/cCAwOvu7/DcUGlpbfnzVJWVn7b5q7N3LXv%2BqC6z5u7Pufu2rfkvr3Td91XrZOdrVu31pdffmn2WpxeffVVjRkzxmUsIyNDbdq0kSTZbDalpqY6a%2BfPn9f58%2Bdls9kUFBSk4OBgl3pqaqqCg4MVGBio0NBQnT17VllZWS710NBQ59zHjh2TYRiSrn6m1tGjR2Wz2W5XuwAAoJ6p1hGsDh066LnnntPKlSvVunVr56m4axYtWnRLi4qKitKKFSu0atUq9e3bV/v379d7773n/EXSjz76qP70pz8pNDRUnTt31oIFC3Tvvfc6/wfjo48%2BqsWLF%2Bu3v/2tJGnJkiUaO3asJKlVq1bq1auXpkyZovj4eH322WdKSUlxfohp//79tWTJEi1YsEB//OMftWXLFhUWFmrAgAG31BMAAHAf1QpYX3/9tcLDwyWpSp97VVldunTRq6%2B%2BqmXLlunVV19VixYttGTJEoWFhUmSwsLCNHfuXC1btkw//vijevbsqXnz5jm3HzdunL7//ntNnDhRXl5eGjJkiMsRsYSEBMXHx2vYsGEKCAjQwoUL1aVLF0lSo0aN9Oabb2rWrFl655131L59e61YsUINGjQwvU8AAFA/eRjXzoVVICEhQRMnTiRoVJPDccH0OS0WT/n7N1Re3qV6c866Mn6pvgcs/eS2ze3uPnymZ5Xuz2vdvfqW3Ld3%2Bja/74CAX5s6X2VV%2BhqsNWvWqLCw0GVs/PjxysnJMX1RAAAAdVmlA9aNDnQdOXJExcXFpi4IAACgrqs/H5kKAABQSxCwAAAATFalgHXtFyADAADg5qr0MQ3z5893%2BcyrK1euKDExUQ0bun4M/a1%2BDhYAAEBdVumA1a1bt%2Bs%2B8yosLEx5eXnKy8szfWEAAAB1VaUD1ttvv3071wEAAFBvcJE7AACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyWo8YJWUlGjgwIE6fPiwcywzM1NjxoxRaGio7r//fu3fv99lmwMHDmjgwIGy2WwaNWqUMjMzXepr165V7969FRYWpunTp6uwsNBZKy4u1vTp0xUREaFevXpp9erVLttWtG8AAICK1GjAKi4u1rPPPquTJ086xwzDUGxsrJo1a6bt27dr0KBBmjhxos6dOydJOnfunGJjY/XII49o27ZtatKkiZ5%2B%2BmkZhiFJ%2Buijj5SUlKS5c%2Bdq3bp1stvtSkxMdM6fkJCg48ePa926dZo1a5aSkpK0e/fuSu0bAACgMmosYJ06dUrDhg3TmTNnXMYPHTqkzMxMzZ07V23bttWECRMUGhqq7du3S5K2bt2qO%2B%2B8U2PHjtXvf/97LVq0SGfPntWnn34qSVq/fr1Gjx6tqKgodenSRXPmzNH27dtVWFioy5cva%2BvWrYqPj1dISIj69u2rJ554Qhs3bqzUvgEAACqjxgLWp59%2Bqu7duys5Odll3G63q1OnTmrQoIFzLDw8XGlpac56RESEs2a1WhUSEqK0tDSVlZXps88%2Bc6mHhobqypUrysjIUEZGhkpLSxUWFuYyt91uV3l5eYX7BgAAqAxLTe14xIgRNxx3OBwKDAx0GWvatKmysrIqrBcUFKi4uNilbrFY1LhxY2VlZcnT01P%2B/v7y9vZ21ps1a6bi4mLl5%2BdXuG8AAIDKqLGAdTOFhYUuAUiSvL29VVJSUmG9qKjIeftGdcMwbliTrl5sX9G%2BKysnJ0cOh8NlzGJpcF14u1VeXp4uf7oLd%2B27PrFYqvbcuetz7q59S%2B7bO33Xn75rXcDy8fFRfn6%2By1hJSYl8fX2d9Z8GnpKSEvn5%2BcnHx8d5%2B6d1q9WqsrKyG9YkydfXt8J9V1ZycrKSkpJcxmJjYxUXF1eleSrLz896W%2Bat7dy17/rA379htbZz1%2BfcXfuW3Ld3%2Bq77al3ACgoK0qlTp1zGcnNznUd/goKClJube129Y8eOaty4sXx8fJSbm6u2bdtKkkpLS5Wfn6%2BAgAAZhqG8vDyVlpbKYrnausPhkK%2Bvr/z8/Crcd2UNHz5c0dHRLmMWSwPl5V2q0jwV8fLylJ%2BfVQUFhSorKzd17trMXfuuT6r6XnDX59xd%2B5bct3f6Nr/v6v5Ad6tqXcCy2WxasWKFioqKnEeOUlNTFR4e7qynpqY6719YWKgTJ05o4sSJ8vT0VOfOnZWamqru3btLktLS0mSxWNShQwdJV6/JSktLc14In5qaqs6dO8vT07PCfVdWYGDgdaHM4big0tLb82YpKyu/bXPXZu7ad31Q3efNXZ9zd%2B1bct/e6bvuq3UnOyMjI9W8eXNNmzZNJ0%2Be1IoVK5Senq4hQ4ZIkmJiYnT06FGtWLFCJ0%2Be1LRp09SyZUtnoBoxYoRWrVqlPXv2KD09XbNnz9awYcNktVpltVo1ePBgzZ49W%2Bnp6dqzZ49Wr16tUaNGVWrfAAAAlVHrApaXl5dee%2B01ORwOPfLII3r//fe1fPlyBQcHS5Jatmypv/71r9q%2BfbuGDBmi/Px8LV%2B%2BXB4eHpKkBx54QBMmTNDMmTM1duxYdenSRVOmTHHOP23aNIWEhGj06NGaM2eOJk2apPvuu69S%2BwYAAKgMD%2BPaR6DjtnI4Lpg%2Bp8XiKX//hsrLu1RvDqlWxi/V94Cln9y2ud3dh8/0rNL9ea27V9%2BS%2B/ZO3%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%2BwcAAHVXrQ1Yp0%2BfVrt27RQQEOD88vPz0wcffCAfHx9NnTpVbdu2VXx8vBo2bKjdu3dLkjZs2KABAwZo8ODB6tChgxISErRv3z5lZmZKktavX6%2B4uDhFRESoR48eeu6557Rx40ZJ0pkzZ7R3717Nnz9f7dq109ChQ/XQQw9p06ZNNfY4AACAuqdWB6zWrVtfN2632xUeHi4PDw9JkoeHh7p27aq0tDRnPSIiwnn/5s2bKzg4WHa7XdnZ2Tp//ry6devmrIeHh%2Bvs2bPKycmR3W5X8%2BbN1bJlS5f6sWPHblOXAACgPrLU9AJuxDAMff3119q/f7/efPNNlZWVqX///oqLi5PD4dAdd9zhcv%2BmTZvq5MmTkqScnBwFBgZeV8/KypLD4ZAkl3qzZs0kyVm/0bbZ2dlVWn9OTo5zX9dYLA2um/tWeXl5uvzpLty17/rEYqnac%2Beuz7m79i25b%2B/0XX/6rpUB69y5cyosLJS3t7eWLl2q7777TvPnz1dRUZFz/N95e3urpKREklRUVHTTelFRkfP2v9ckqaSkpMK5Kys5OVlJSUkuY7Gxsc6L9M3m52e9LfPWdu7ad33g79%2BwWtu563Purn1L7ts7fdd9tTJgtWjRQocPH9ZvfvMbeXh4qGPHjiovL9eUKVMUGRl5XeApKSmRr6%2BvJMnHx%2BeGdavV6hKmfHx8nH%2BXJKvVetNtr81dWcOHD1d0dLTLmMXSQHl5l6o0T0W8vDzl52dVQUGhysrKK96gnnDXvuuTqr4X3PU5d9e%2BJfftnb7N77u6P9DdqloZsCSpcePGLrfbtm2r4uJiBQQEKDc316WWm5vrPP0WFBR0w3pAQICCgoIkSQ6Hw3md1bVTedfqN9u2KgIDA687HehwXFBp6e15s5SVld%2B2uWszd%2B27Pqju8%2Bauz7m79i25b%2B/0XffVypOd//d//6fu3bursLDQOfb555%2BrcePGzovODcOQdPV6raNHj8pms0mSbDabUlNTndudP39e58%2Bfl81mU1BQkIKDg13qqampCg4OVmBgoEJDQ3X27FllZWW51ENDQ293ywAAoB6plQErLCxMPj4%2BmjFjhr766ivt27dPCQkJeuKJJ9S/f38VFBRowYIFOnXqlBYsWKDCwkINGDBAkvToo49q586d2rp1qzIyMjR16lTde%2B%2B9atWqlbO%2BePFiHT58WIcPH9aSJUs0atQoSVKrVq3Uq1cvTZkyRRkZGdq6datSUlL02GOP1dhjAQAA6p5aeYqwUaNGWrVqlRYuXKiYmBg1bNhQf/zjH/XEE0/Iw8NDb775pmbNmqV33nlH7du314oVK9SgQQNJV8PZ3LlztWzZMv3444/q2bOn5s2b55x73Lhx%2Bv777zVx4kR5eXlpyJAhGjNmjLOekJCg%2BPh4DRs2TAEBAVq4cKG6dOnySz8EAACgDvMwrp1rw23lcFwwfU6LxVP%2B/g2Vl3ep3pyzroxfqu8BSz%2B5bXO7uw%2Bf6Vml%2B/Nad6%2B%2BJfftnb7N7zsg4NemzldZtfIUIQAAQF1GwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATGap6QUAcD8Dln5S00uokg%2Bf6VnTSwBQx3AE6waKi4s1ffp0RUREqFevXlq9enVNLwkAANQhHMG6gYSEBB0/flzr1q3TuXPn9Pzzzys4OFj9%2B/ev6aUBAIA6gID1E5cvX9bWrVv11ltvKSQkRCEhITp58qQ2btxIwAIAAJXCKcKfyMjIUGlpqcLCwpxj4eHhstvtKi8vr8GVAQCAuoIjWD/hcDjk7%2B8vb29v51izZs1UXFys/Px8NWnSpMI5cnJy5HA4XMYslgYKDAw0da1eXp4uf7oLd%2B0bNaeuXZT/9%2Bd61/QSbpm7vs/pu/70TcD6icLCQpdwJcl5u6SkpFJzJCcnKykpyWVs4sSJmjRpkjmL/P/l5ORo3bqVGj58uOnhrTb7pfr%2B54LadUo4JydHycnJbvd8S%2B7bu7v2LfH9jb7rvvoTFU3i4%2BNzXZC6dtvX17dScwwfPlw7duxw%2BRo%2BfLjpa3U4HEpKSrruaFl9R9/u1bfkvr27a9%2BS%2B/ZO3/Wnb45g/URQUJDy8vJUWloqi%2BXqw%2BNwOOTr6ys/P79KzREYGFhvEjgAAKg6jmD9RMeOHWWxWJSWluYcS01NVefOneXpycMFAAAqRmL4CavVqsGDB2v27NlKT0/Xnj17tHr1ao0aNaqmlwYAAOoIr9mzZ8%2Bu6UXUNj169NCJEye0ZMkSHTx4UE8%2B%2BaRiYmJqelk31LBhQ0VGRqphw4Y1vZRfFH27V9%2BS%2B/burn1L7ts7fdePvj0MwzBqehEAAAD1CacIAQAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbDqqOLiYk2fPl0RERHq1auXVq9eXdNLqpbs7GzFxcUpMjJSvXv31qJFi1RcXCxJyszM1JgxYxQaGqr7779f%2B/fvd9n2wIEDGjhwoGw2m0aNGqXMzEyX%2Btq1a9W7d2%2BFhYVp%2BvTpKiws/MX6qorx48frhRdecN4%2BceKEhg4dKpvNppiYGB0/ftzl/ikpKerTp49sNptiY2P1ww8/OGuGYWjx4sXq0aOHIiMjlZCQoPLy8l%2Bsl8ooKSnRnDlz1K1bN/3hD3/Qyy%2B/rGufd1yfez9//rwmTJigrl27Kjo6WmvXrnXW6mvfJSUlGjhwoA4fPuwcu53v69ryffFGfaelpemPf/yjwsLC1K9fP23dutVlm/ra9zUXLlxQ7969tWPHDpfxW3lt5%2BXladKkSQoLC1N0dLR27tx5%2B5qrDgN10ty5c40HH3zQOH78uPG3v/3NCAsLMz788MOaXlaVlJeXG8OGDTOeeOIJ48svvzSOHDli9O3b13jppZeM8vJy48EHHzQmT55snDp1ynjjjTcMm81mnD171jAMwzh79qwRGhpqrFq1yvjyyy%2BN//qv/zIGDhxolJeXG4ZhGLt37zbCw8ON//mf/zHsdrtx//33G3PmzKnJdm8oJSXFaNeunfH8888bhmEYly5dMnr27Gm89NJLxqlTp4x58%2BYZf/jDH4xLly4ZhmEYdrvd6NKli/Huu%2B8an3/%2BuTFy5Ehj/PjxzvlWrVpl3HPPPcaRI0eMgwcPGr169TJWrlxZI73dzIsvvmjcd999ht1uNw4cOGB0797d2Lx5c73vfdiwYcYzzzxjfP3118bf//53w2azGX/729/qbd9FRUVGbGys0a5dO%2BPQoUOGYRi3/X1dG74v3qjvnJwcIyIiwliyZInx9ddfGykpKUbnzp2NvXv31uu%2B/92LL75otGvXzti%2Bfbtz7FZf2xMmTDBGjx5tfPHFF8Y777xj3HnnnYbdbr%2B9jVYBAasOunTpktG5c2eXF/Hy5cuNkSNH1uCqqu7UqVNGu3btDIfD4RzbtWuX0atXL%2BPAgQNGaGio8x8ZwzCM0aNHG8uWLTMMwzCWLl3q0u/ly5eNsLAw52MyYsQI530NwzCOHDlidOnSxbh8%2BfLtbqvS8vLyjLvvvtuIiYlxBqytW7ca0dHRzm%2Bs5eXlRt%2B%2BfZ3flKZMmeK8r2EYxrlz54z27dsbZ86cMQzDMO655x6Xb2DvvfeeERUV9Uu1VKG8vDyjU6dOxuHDh51jb775pvHCCy/U697z8/ONdu3aGV988YVzbOLEicacOXPqZd8nT540HnroIePBBx90%2BQf3dr6va8P3xZv1vWnTJqN///4u933xxReNZ5991jCM%2Btv3v6%2B3b9%2B%2BRs%2BePV1eq7fy2v7222%2BNdu3aGZmZmc769OnTXearaZwirIMyMjJUWlqqsLAw51h4eLjsdnutOTVQGQEBAVq5cqWaNWvmMn7x4kXZ7XZ16tRJDRo0cI6Hh4crLS1NkmS32xUREeGsWa1WhYSEKC0tTWVlZfrss89c6qGhobpy5YoyMjJuc1eV95e//EWDBg3SHXfc4Ryz2%2B0KDw%2BXh4eHJMnDw0Ndu3a9ad/NmzdXcHCw7Ha7srOzdf78eXXr1s1ZDw8P19mzZ5WTk/MLdfXzUlNT1ahRI0VGRjrHxo8fr0WLFtXr3n19fWW1WrVjxw5duXJFX331lY4ePaqOHTvWy74//fRTde/eXcnJyS7jt/N9XRu%2BL96s72uXP/zUxYsXJdXfvqWrpw1ffPFFzZw5U97e3i61W3lt2%2B12NW/eXC1btnSpHzt27DZ0WD0ErDrI4XDI39/f5cXarFkzFRcXKz8/vwZXVjV%2Bfn7q3bu383Z5ebk2bNigHj16yOFwKDAw0OX%2BTZs2VVZWliT9bL2goEDFxcUudYvFosaNGzu3r2kHDx7UP//5Tz399NMu4xX1nZOTc9O6w%2BGQJJf6tfBaW/rOzMxUixYt9N5776l///76j//4Dy1fvlzl5eX1uncfHx/NnDlTycnJstlsGjBggO6%2B%2B24NHTq0XvY9YsQITZ8%2BXVar1WX8dr6va8P3xZv13bJlS4WGhjpvf//99/rv//5v3XXXXZLqb9%2BS9MYbb6hTp07q1avXdbVbeW3f7DHLzs6%2B5X7MYqnpBaDqCgsLr/tJ4NrtkpKSmliSKRITE3XixAlt27ZNa9euvWGP1/q72WNQUlKioqIi5%2B2bbV%2BTiouLNWvWLM2cOVO%2Bvr4utZ/rS5KKioqq1Hdte11cvnxZ3377rbZs2aJFixbJ4XBo5syZslqt9b7306dPKyoqSo8//rhOnjypefPm6a677qr3ff%2B7inq9lfe1YRh14vtiUVGRJk2apGbNmmn48OGS6m/fp06d0pYtW/T%2B%2B%2B/fsH4rr%2B2KXku1AQGrDvLx8bnuRXTt9k//wa4rEhMTtW7dOr3yyitq166dfHx8rvvpq6SkxNnfzR4DPz8/%2Bfj4OG//tH6jn7B%2BaUlJSbrzzjtdjt5dc7O%2BKurbarW6fPP56WNQG/qWrv7kffHiRS1ZskQtWrSQJJ07d06bN2/W7373u3rb%2B8GDB7Vt2zbt27dPvr6%2B6ty5s7Kzs/X666%2BrVatW9bbvn7qd7%2BuysrJa/33x0qVLevrpp/XNN99o06ZNzueoPvZtGIZmzJihuLi46y4DueZWXtsVfa%2BsDThFWAcFBQUpLy9PpaWlzjGHwyFfX1/5%2BfnV4MqqZ968eVqzZo0SExPVr18/SVd7/P/auZ%2BQNrYoDODnieC2GxPQQtuF4r/pTFLRBANiEBcGwUXBRQsVW3TRUrpRcSEugkIp6EI32SjiwlYQAtGFWrEUCm4SFWqFRqJFm0AJKipqIfh14WNwfLWPvoxNzPt%2BEAi5SZgPZ06Ow703Ho8b3hePx/VbwpeN5%2Bbmyo0bNyQnJ8cwnkgkZG9vT3Jzc684zb%2Bbnp6Wt2/fis1mE0JT8VYAAAQJSURBVJvNJoFAQAKBgNhstqRyW61WERH91vr55%2BmQW%2BTsOHJycvTmSkTkzp07EovFMjr7x48f5datW4biX1JSItFoNKNzX3SV13W618XDw0N5/PixhMNhGR0dldu3b%2BtjmZg7Go3K0tKSvHz5Uq910WhUenp65MmTJyKS3Ln9q8%2BmCzZY11BxcbFkZ2frE0NFziYPK4oiWVnX6086NDQkr1%2B/lv7%2BfvF4PPrrqqrK6uqqfptY5Cyjqqr6eDAY1MeOj4/l06dPoqqqZGVliaIohvHl5WXJzs6WoqKiP5Dq18bGxiQQCIjf7xe/3y9ut1vcbrf4/X5RVVWWlpb0faEASCgUujR3LBaTWCwmqqqK1WqVvLw8w3gwGJS8vLx/zFVIFVVV5fv377KxsaG/FolEJD8/P6OzWywW%2BfLli%2BE/7kgkIjdv3szo3Bdd5XWdznXx9PRUnj17Jtvb2zI2NiYFBQWG8UzMbbVaZXZ2Vq9zfr9fLBaLPH/%2BXHp7e0UkuXNb0zT5%2BvWrYa5hMBg0zHVLuZStX6SkdHd3w%2BPxYGVlBXNzc7Db7ZiZmUn1Yf2W9fV1FBcXY2BgAN%2B%2BfTM8EokE6uvr8eLFC3z%2B/Bk%2Bnw%2Bapun75WxtbUFRFPh8Pn3fmIaGBn2p%2B9TUFOx2O%2Bbm5rCysgKPxwOv15vKuJfq7OzUlxYfHBzA4XDA6/UiHA7D6/WiqqpKX9YeCoVQWlqKiYkJfd%2BYtrY2/bt8Ph9cLhcWFxexuLgIl8uF4eHhlOS6TGtrK5qamrC2tob379/D4XBgdHQ0o7Pv7%2B%2BjqqoK7e3tiEQimJ%2BfR0VFBcbHxzM6NwDDsv2rvq7TqS6ez/3mzRsUFRVhYWHBUOd2d3cBZG7ui2pqagzbLiR7bre0tODhw4dYW1vDxMQEFEXhPliUvKOjI3R0dEDTNLhcLoyMjKT6kH6bz%2BdDYWHhTx8AsLm5iQcPHqCsrAwejwcfPnwwfP7du3eoq6vD3bt38ejRI33vlPPf73Q6ce/ePXR1deHk5OSPZfsd5xss4GzzvcbGRiiKgvv372N1ddXw/snJSVRXV0PTNDx9%2BhQ7Ozv6WCKRQF9fH8rLy1FZWYlXr17pRTpd7O/vo729HZqmwel0YnBwUD/GTM4eDofR3NwMu92O2tpajIyM/C9yX/zBvcrrOp3q4vncLS0tP61z5/eqysTcF11ssIDkzu14PI62tjYoigK3241AIHA1of6jv4C/70sTERERkSmu14QdIiIiomuADRYRERGRydhgEREREZmMDRYRERGRydhgEREREZmMDRYRERGRydhgEREREZmMDRYRERGRydhgEREREZmMDRYRERGRydhgEREREZmMDRYRERGRydhgEREREZnsB32iyDvr86XNAAAAAElFTkSuQmCC"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common-8620491047367429530">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">3500.0</td>
<td class="number">16932</td>
<td class="number">3.0%</td>
<td>
<div class="bar" style="width:4%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">4000.0</td>
<td class="number">14072</td>
<td class="number">2.5%</td>
<td>
<div class="bar" style="width:3%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">3500.01</td>
<td class="number">6127</td>
<td class="number">1.1%</td>
<td>
<div class="bar" style="width:2%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">4016.03</td>
<td class="number">5928</td>
<td class="number">1.0%</td>
<td>
<div class="bar" style="width:2%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">3500.02</td>
<td class="number">1303</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">3501.33</td>
<td class="number">1106</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">4009.65</td>
<td class="number">1054</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">3500.48</td>
<td class="number">1024</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">3500.19</td>
<td class="number">987</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">3500.88</td>
<td class="number">978</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (163591)</td>
<td class="number">519482</td>
<td class="number">91.1%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">1307</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme-8620491047367429530">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">0.0</td>
<td class="number">97</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">3500.0</td>
<td class="number">16932</td>
<td class="number">3.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">3500.01</td>
<td class="number">6127</td>
<td class="number">1.1%</td>
<td>
<div class="bar" style="width:36%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">3500.02</td>
<td class="number">1303</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:8%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">3500.03</td>
<td class="number">438</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:3%">&nbsp;</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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">11000.0</td>
<td class="number">12</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:5%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">12000.0</td>
<td class="number">78</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:29%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">12500.0</td>
<td class="number">6</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:3%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">13000.0</td>
<td class="number">14</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:6%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">14000.0</td>
<td class="number">269</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4">FIC88022.PV<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>367287</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>64.6%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.2%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1307</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>828.32</td>
</tr>
<tr>
<th>Minimum</th>
<td>-8.6215</td>
</tr>
<tr>
<th>Maximum</th>
<td>1303.8</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="minihistogram758623643339006170">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAASBJREFUeJzt3bENwjAARcGAGIkh2ImanRiCncwC6EmAohhyV6dw8/QTKHwYY4wFeOm49QFgZqetD8D3ztf7W88/bpeVTvJ/LAgEC7JD7y7Osux3dSwIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEN0xN5pPbn1iPBYEgEAjTvWK5YJKZWBAIAoEgEAgCgTDdRzpz2uuPJxYEggVZkX/Ff99hjDG2PgTMyisWBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIhCfplhdnjv571wAAAABJRU5ErkJggg%3D%3D">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives758623643339006170,#minihistogram758623643339006170"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives758623643339006170">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles758623643339006170"
aria-controls="quantiles758623643339006170" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram758623643339006170" aria-controls="histogram758623643339006170"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common758623643339006170" aria-controls="common758623643339006170"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme758623643339006170" aria-controls="extreme758623643339006170"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles758623643339006170">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>-8.6215</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>0.50506</td>
</tr>
<tr>
<th>Q1</th>
<td>823.67</td>
</tr>
<tr>
<th>Median</th>
<td>893.7</td>
</tr>
<tr>
<th>Q3</th>
<td>945.01</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>1013.5</td>
</tr>
<tr>
<th>Maximum</th>
<td>1303.8</td>
</tr>
<tr>
<th>Range</th>
<td>1312.5</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>121.35</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>241.91</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.29205</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>6.4747</td>
</tr>
<tr>
<th>Mean</th>
<td>828.32</td>
</tr>
<tr>
<th>MAD</th>
<td>143.32</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>-2.6506</td>
</tr>
<tr>
<th>Sum</th>
<td>471310000</td>
</tr>
<tr>
<th>Variance</th>
<td>58519</td>
</tr>
<tr>
<th>Memory size</th>
<td>4.4 MiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram758623643339006170">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%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%2BA0%2B2S5HsMqJwMAABQQEKDAwwNel%2BBR9OI9eFKMP59GLYvThPHpRdghYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGCZy9cFAADs6r7gM1%2BXUGLvP9Le1yUAZYIjWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAs46tyAAA%2B409f6yPx1T4oOY5gAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALPNZwDp%2B/LjGjh2r1q1bq2PHjpo9e7by8vIkSWlpaRo2bJiio6PVo0cPbd261WvZbdu2qVevXoqKitKQIUOUlpbmNb98%2BXJ17NhRMTExmjRpknJycpy5vLw8TZo0SXFxcerQoYOWLl3qtezltg0AAHA5PglYxhiNHTtWOTk5Wr16tZ5//nlt2bJFCxYskDFG8fHxqlWrltatW6fevXtr9OjROnr0qCTp6NGjio%2BPV9%2B%2BffXWW2%2BpRo0aevjhh2WMkSR98MEHSkhI0IwZM7RixQq53W7NnTvX2facOXO0e/durVixQlOnTlVCQoI2bdrk1PWvtg0AAFASLl9s9ODBg0pJSdFnn32mWrVqSZLGjh2rP//5z%2BrUqZPS0tL0xhtvqHLlymrYsKE%2B//xzrVu3TmPGjNHatWt166236oEHHpAkzZ49W%2B3bt9eXX36pNm3aaOXKlRo6dKg6d%2B4sSZo%2BfbpGjBihcePGyRijtWvX6uWXX1azZs3UrFkzpaamavXq1erWrZu%2B%2BOKLf7ltAACAkvDJEazw8HC98sorTrg659SpU3K73WratKkqV67sjMfGxiolJUWS5Ha7FRcX58yFhoaqWbNmSklJUWFhob7%2B%2Bmuv%2BejoaJ09e1Z79%2B7V3r17VVBQoJiYGK91u91uFRUVXXbbAAAAJeGTI1hhYWHq2LGj87ioqEivvfaa2rZtK4/Ho4iICK/n16xZU%2Bnp6ZL0L%2Bezs7OVl5fnNe9yuVStWjWlp6crMDBQ1atXV6VKlZz5WrVqKS8vT1lZWZfdNgAAQEn4JGD92ty5c7Vnzx699dZbWr58uVcAkqRKlSopPz9fkpSTk3PJ%2BdzcXOfxxeaNMRedk6T8/Px/ue4rkZGRIY/H4zXmclW%2BILzZFBQU6PVnRUUfzqMXxegDbHK5ytfriPdH2fF5wJo7d65WrFih559/Xo0aNVJwcLCysrK8npOfn6%2BQkBBJUnBw8AWBJz8/X2FhYQoODnYe/3o%2BNDRUhYWFF52TpJCQkMtuu6QSExOVkJDgNRYfH6%2BxY8de0XpKIywstMy34Q/ow3n0ohh9gA3Vq1fxdQllgveHfT4NWDNnztSaNWs0d%2B5c3XnnnZKkyMhI7d%2B/3%2Bt5J06ccI7%2BREZG6sSJExfMN2nSRNWqVVNwcLBOnDihhg0bSpIKCgqUlZWl8PBwGWOUmZmpgoICuVzFu%2B7xeBQSEqKwsLDLbrukBg0apC5duniNuVyVlZl5%2BorWcyWCggIVFhaq7OwcFRYWldl2rnf04Tx6UYw%2BwKay/Bz3hYrw/vBVKPZZwEpISNAbb7yh5557Tt26dXPGo6KitGTJEuXm5jpHjpKTkxUbG%2BvMJycnO8/PycnRnj17NHr0aAUGBqp58%2BZKTk5WmzZtJEkpKSlyuVxq3LixpOJrslJSUpwL4ZOTk9W8eXMFBgZedtslFRERcUEo83hOqqCg7F%2B8hYVF12Q71zv6cB69KEYfYEN5fQ3x/rDPJyddDxw4oBdffFH/9V//pdjYWHk8HuendevWql27tiZOnKjU1FQtWbJEu3btUv/%2B/SVJ/fr1086dO7VkyRKlpqZq4sSJqlevnhOoBg8erFdffVWbN2/Wrl27NG3aNA0cOFChoaEKDQ1Vnz59NG3aNO3atUubN2/W0qVLNWTIEEm67LYBAABKIsCcu0PnNbRkyRLNnz//onPfffedfvjhB02ePFlut1s33nijJk2apN///vfOcz755BM988wzSk9PV0xMjGbOnKn69et7rX/58uXKz8/XHXfcoalTpzrXZ%2BXk5GjatGn68MMPVbVqVY0YMULDhg1zlr3ctkvL4zl51ev4V1yuQFWvXkWZmacr9L9C6MN59KJYRexD9wWf%2BbqEcuv9R9r7ugSrKsL7Izz8Bp9s1ycBqyIiYF0b9OE8elGsIvaBgFV2CFj%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%2B7du8tw7wEAQHnj84CVl5enRx99VKmpqV7jBw4c0GOPPaatW7c6P/369ZMk7dq1S5MnT9bo0aOVmJio7OxsTZw40Vl22bJlSkpKUkJCghYuXKiNGzdq2bJlzvzEiRN18uRJJSYm6qGHHtKTTz6pXbt2SZLOnDmjkSNHKi4uTm%2B//bZiYmI0atQonTlz5hp0AwAAlAc%2BDVj79%2B/XwIEDdfjw4QvmDhw4oKZNmyo8PNz5CQ0NlSS99tpr6t69u/r06aPGjRtrzpw5%2BuSTT5SWliZJWrlypcaOHau4uDi1bdtWjz/%2BuFavXi1JOnz4sLZs2aJZs2apUaNGGjBggO6%2B%2B269/vrrkqT33ntPwcHBGj9%2BvBo2bKjJkyerSpUq2rRp0zXqCgAA8Hc%2BDVhffvml2rRpo8TERK/xU6dO6fjx42rQoMFFl3O73YqLi3Me165dW3Xq1JHb7dbx48d17NgxtWrVypmPjY3VkSNHlJGRIbfbrdq1a6tevXpe81999ZWz7tjYWAUEBEiSAgIC1LJlS6WkpNjabQAAUM65fLnxwYMHX3T8wIEDCggI0EsvvaRPP/1U1apV0/Dhw3XPPfdIkjIyMhQREeG1TM2aNZWeni6PxyNJXvO1atWSJGf%2BYsseP35ckuTxeHTzzTdfMP/rU5gAAACX4tOAdSkHDx5UQECAbrrpJt1///3asWOHnnrqKVWtWlW33367cnNzValSJa9lKlWqpPz8fOXm5jqPfzknFV9Mn5OTc8llJV12viQyMjKcoHeOy1X5gmBnU1BQoNefFRV9OI9eFKMPsMnlKl%2BvI94fZee6DFh9%2BvRR586dVa1aNUlS48aN9f3332vNmjW6/fbbFRwcfEHgyc/PV2hoqFeYCg4Odv5bkkJDQy%2B5bEhIiCRddr4kEhMTlZCQ4DUWHx%2BvsWPHlngdpRUWFlrm2/AH9OE8elGMPsCG6tWr%2BLqEMsH7w77rMmAFBAQ44eqcm266SV988YUkKTIyUidOnPCaP3HihMLDwxUZGSmp%2BFTfueuszh1NOjd/qWX/1bqv5OjToEGD1KVLF68xl6uyMjNPl3gdVyooKFBhYaHKzs5RYWHR5Rcop%2BjDefSiGH2ATWX5Oe4LFeH94atQfF0GrBdeeEFfffWVli9f7ozt3btXN910kyQpKipKycnJ6tu3ryTp2LFjOnbsmKKiohQZGak6deooOTnZCVjJycmqU6eOIiIiFB0drSNHjig9PV3/9m//5sxHR0c763755ZdljFFAQICMMdq5c6f%2B9Kc/lbj%2BiIiICwKZx3NSBQVl/%2BItLCy6Jtu53tGH8%2BhFMfoAG8rra4j3h33X5UnXzp07a8eOHXr11Vd1%2BPBhvf7661q/fr0eeOABSdK9996rDRs2aO3atdq7d6/Gjx%2Bv2267TfXr13fm582bp%2B3bt2v79u2aP3%2B%2BhgwZIkmqX7%2B%2BOnTooHHjxmnv3r1au3atkpKSdN9990mSunXrpuzsbD399NPav3%2B/nn76aeXk5Kh79%2B6%2BaQYAAPA7pTqCNWDAAPXr1089e/bUDTfcYLsmtWjRQi%2B88IIWLlyoF154QXXr1tX8%2BfMVExMjSYqJidGMGTO0cOFC/fOf/1T79u01c%2BZMZ/kRI0bop59%2B0ujRoxUUFKT%2B/ftr2LBhzvycOXM0efJkDRw4UOHh4XrmmWfUokULSVLVqlW1ePFiTZ06VW%2B%2B%2BaZuueUWLVmyRJUrV7a%2BnwAAoHwKMMaYK11o/vz52rhxozIzM/WHP/xBffv2Vfv27Z17R%2BFCHs/JMl2/yxWo6tWrKDPzdIU%2BzEsfzqMXxSpiH7ov%2BMzXJZRb7z/S3tclWFUR3h/h4fYPBJVEqU4RPvbYY9qyZYtefPFFBQUFacyYMbrtttv0/PPP69ChQ7ZrBAAA8Culvsg9ICBA7du3V/v27ZWTk6NVq1bpxRdf1JIlS9SyZUsNHTpUd9xxh81aAQAA/MJV/RZhRkaG3n33Xb377rvat2%2BfWrZsqXvuuUfp6el68skntWPHDk2ePNlWrQAAAH6hVAFrw4YN2rBhg7Zv364aNWqoT58%2BWrhwodd3B9auXVtPP/00AQsAAFQ4pQpYkydPVufOnbVo0SJ16tRJgYEXXsp17mtuAAAAKppSBaxPP/1U1atXV1ZWlhOudu3apWbNmikoKEiS1LJlS7Vs2dJepQAAAH6iVL9FeOrUKXXr1k0vv/yyMzZy5Ej17t1bx44ds1YcAACAPypVwHrmmWd04403avjw4c7Ye%2B%2B9p9q1a2v27NnWigMAAPBHpQpY//jHP/TEE084X5AsSTVq1ND48eOdL2QGAACoqEoVsFwul7Kzsy8Yz8nJUSluDA8AAFCulCpgderUSbNmzdLhw4edsbS0NM2ePVsdO3a0VhwAAIA/KtVvEU6YMEHDhw/XnXfeqbCwMElSdna2mjVrpokTJ1otEAAAwN%2BUKmDVrFlT77zzjrZt26bU1FS5XC7dfPPNateuHV/4DAAAKrxSf1VOUFCQOnbsyClBAACAXylVwPJ4PFqwYIF27typs2fPXnBh%2B9/%2B9jcrxQEAAPijUgWsp556Srt371bPnj11ww032K4JAADAr5UqYH3xxRd65ZVXFBcXZ7seAAAAv1eq2zRUrlxZNWvWtF0LAABAuVCqgNW7d2%2B98sorKiwstF0PAACA3yvVKcKsrCwlJSXp448/Vv369VWpUiWv%2BZUrV1opDgAAwB%2BV%2BjYNvXr1slkHAABAuVGqgDV79mzbdQAAAJQbpboGS5IyMjKUkJCgxx57TD/99JM2bdqkgwcP2qwNAADAL5UqYP3www%2B666679M477%2BiDDz7QmTNn9N5776lfv35yu922awQAAPArpQpYzz77rLp27arNmzfrN7/5jSTpueeeU5cuXTRv3jyrBQIAAPibUgWsnTt3avjw4V5f7OxyufTwww9rz5491ooDAADwR6UKWEVFRSoqKrpg/PTp0woKCrrqogAAAPxZqQJWhw4dtHjxYq%2BQlZWVpblz56pt27bWigMAAPBHpQpYTzzxhHbv3q0OHTooLy9PDz30kDp37qwff/xREyZMsF0jAACAXynVfbAiIyO1fv16JSUl6dtvv1VRUZHuvfde9e7dW1WrVrVdIwAAgF8p9Z3cQ0NDNWDAAJu1AAAAlAulClhDhgz5l/N8FyEAAKjIShWw6tat6/W4oKBAP/zwg/bt26ehQ4daKQwAAMBfWf0uwkWLFik9Pf2qCgIAAPB3pf4uwovp3bu33n//fZurBAAA8DtWA9ZXX33FjUYBAECFZ%2B0i91OnTum7777T4MGDr7ooAAAAf1aqgFWnTh2v7yGUpN/85je6//77dffdd1spDAAAwF%2BVKmA9%2B%2ByztusAAAAoN0oVsHbs2FHi57Zq1ao0mwAAAPBbpQpY//mf/%2BmcIjTGOOO/HgsICNC33357tTUCAAD4lVIFrJdeekmzZs3SuHHj1Lp1a1WqVElff/21ZsyYoXvuuUc9evSwXScAAIDfKNVtGmbPnq0pU6bozjvvVPXq1VWlShW1bdtWM2bM0Jo1a1S3bl3nBwAAoKIpVcDKyMi4aHiqWrWqMjMzr7ooAAAAf1aqgBUdHa3nnntOp06dcsaysrI0d%2B5ctWvXzlpxAAAA/qhU12A9%2BeSTGjJkiDp16qQGDRrIGKPvv/9e4eHhWrlype0aAQAA/EqpAlbDhg313nvvKSkpSQcOHJAk3XffferZs6dCQ0OtFggAAOBvShWwJOm3v/2tBgwYoB9//FH169eXVHw3dwAAgIquVNdgGWM0b948tWrVSr169VJ6eromTJigyZMn6%2BzZs7ZrBAAA8CulClirVq3Shg0bNHXqVFWqVEmS1LVrV23evFkJCQlWCwQAAPA3pQpYiYmJmjJlivr27evcvb1Hjx6aNWuWNm7caLVAAAAAf1OqgPXjjz%2BqSZMmF4w3btxYHo/nqosCAADwZ6UKWHXr1tXXX399wfinn37qXPAOAABQUZXqtwhHjBih6dOny%2BPxyBijzz//XImJiVq1apWeeOIJ2zUCAAD4lVIdwerXr5/%2B53/%2BR0uXLlVubq6mTJmit99%2BW4888ojuvffeK1pXfn6%2BevXqpe3btztjaWlpGjZsmKKjo9WjRw9t3brVa5lt27apV69eioqK0pAhQ5SWluY1v3z5cnXs2FExMTGaNGmScnJynLm8vDxNmjRJcXFx6tChg5YuXeq17OW2DQAAcDmlClhJSUnq1q2bPv74Y23btk2fffaZtm3bpuHDh1/RevLy8vToo48qNTXVGTPGKD4%2BXrVq1dK6devUu3dvjR49WkePHpUkHT16VPHx8erbt6/eeust1ahRQw8//LCMMZKkDz74QAkJCZoxY4ZWrFght9utuXPnOuufM2eOdu/erRUrVmjq1KlKSEjQpk2bSrRtAACAkihVwJoxY4ZzMXuNGjVUs2bNK17H/v37NXDgQB0%2BfNhr/IsvvlBaWppmzJihhg0batSoUYqOjta6deskSWvXrtWtt96qBx54QL/73e80e/ZsHTlyRF9%2B%2BaUkaeXKlRo6dKg6d%2B6sFi1aaPr06Vq3bp1ycnJ05swZrV27VpMnT1azZs10%2B%2B2368EHH9Tq1atLtG0AAICSKFXAatCggfbt23dVG/7yyy/Vpk0bJSYmeo273W41bdpUlStXdsZiY2OVkpLizMfFxTlzoaGhatasmVJSUlRYWKivv/7aaz46Olpnz57V3r17tXfvXhUUFCgmJsZr3W63W0VFRZfdNgAAQEmU6iL3xo0b6/HHH9crr7yiBg0aKDg42Gt%2B9uzZl13H4MGDLzru8XgUERHhNVazZk2lp6dfdj47O1t5eXle8y6XS9WqVVN6eroCAwNVvXp15%2BaoklSrVi3l5eUpKyvrstsuqYyMjAtuV%2BFyVb5g3TYFBQV6/VlR0Yfz6EUx%2BgCbXK7y9Tri/VF2ShWwDh06pNjYWEmyft%2BrnJwcrwAkSZUqVVJ%2Bfv5l53Nzc53HF5s3xlx0Tiq%2B2P5y2y6pxMTEC%2B5oHx8fr7Fjx17RekojLIwv25bowy/Ri2L0ATZUr17F1yWUCd4f9pU4YM2ZM0ejR49W5cqVtWrVqjIrKDg4WFlZWV5j%2Bfn5CgkJceZ/HXjy8/MVFhbmHEm72HxoaKgKCwsvOidJISEhl912SQ0aNEhdunTxGnO5Kisz8/QVredKBAUFKiwsVNnZOSosLCqz7Vzv6MN59KIYfYBNZfk57gsV4f3hq1Bc4oC1bNkyjRgxwuv6pJEjR2rWrFlWT31FRkZq//79XmMnTpxwthEZGakTJ05cMN%2BkSRNVq1ZNwcHBOnHihBo2bChJKigoUFZWlsLDw2WMUWZmpgoKCuRyFe%2B6x%2BNRSEiIwsLCLrvtkoqIiLhgGY/npAoKyv7FW1hYdE22c72jD%2BfRi2L0ATaU19cQ7w/7SnzS9dxtEH5px44dysvLs1pQVFSUvvnmG%2Bd0nyQlJycrKirKmU9OTnbmcnJytGfPHkVFRSkwMFDNmzf3mk9JSZHL5VLjxo3VpEkTuVwur4vWk5OT1bx5cwUGBl522wAAACVx3V3V1rp1a9WuXVsTJ05UamqqlixZol27dql///6Sim9yunPnTi1ZskSpqamaOHGi6tWrpzZt2kgqvnj%2B1Vdf1ebNm7Vr1y5NmzZNAwcOVGhoqEJDQ9WnTx9NmzZNu3bt0ubNm7V06VINGTKkRNsGAAAoiesuYAUFBenFF1%2BUx%2BNR37599e6772rRokWqU6eOJKlevXr6y1/%2BonXr1ql///7KysrSokWLFBAQIEnq2bOnRo0apSlTpuiBBx5QixYtNG7cOGf9EydOVLNmzTR06FBNnz5dY8aM0R133FGibQMAAJREgLnYub%2BLaNy4sbZt26YaNWo4YzExMXr33Xf5gucS8HhOlun6Xa5AVa9eRZmZpyv0eXT6cB69KFYR%2B9B9wWe%2BLqHcev%2BR9r4uwaqK8P4ID7/BJ9u9ots0zJo1y%2BueV2fPntXcuXNVpYr3FfoluQ8WAABAeVXigNWqVasL7nkVExOjzMxMZWZmWi8MAADAX5U4YJXlva8AAADKk%2BvuIncAAAB/R8ACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABY5vJ1AQBwveu%2B4DNflwDAz3AECwAAwLLrNmB99NFHuuWWW7x%2Bxo4dK0nas2ePBgwYoKioKPXr10%2B7d%2B/2WjYpKUldu3ZVVFSU4uPj9fPPPztzxhjNmzdPbdu2VevWrTVnzhwVFRU585mZmRozZoxiYmLUpUsXbdiw4drsMAAAKDeu24C1f/9%2Bde7cWVu3bnV%2BZs2apTNnzmjkyJGKi4vT22%2B/rZiYGI0aNUpnzpyRJO3atUuTJ0/W6NGjlZiYqOzsbE2cONFZ77Jly5SUlKSEhAQtXLhQGzdu1LJly5z5iRMn6uTJk0pMTNRDDz2kJ598Urt27brm%2Bw8AAPzXdRuwDhw4oEaNGik8PNz5CQsL03vvvafg4GCNHz9eDRs21OTJk1WlShVt2rRJkvTaa6%2Bpe/fu6tOnjxo3bqw5c%2Bbok08%2BUVpamiRp5cqVGjt2rOLi4tS2bVs9/vjjWr16tSTp8OHD2rJli2bNmqVGjRppwIABuvvuu/X666/7rA8AAMD/XNcBq0GDBheMu91uxcbGKiAgQJIUEBCgli1bKiUlxZmPi4tznl%2B7dm3VqVNHbrdbx48f17Fjx9SqVStnPjY2VkeOHFFGRobcbrdq166tevXqec1/9dVXZbSXAACgPLouf4vQGKNDhw5p69atWrx4sQoLC9WtWzeNHTtWHo9HN998s9fza9asqdTUVElSRkaGIiIiLphPT0%2BXx%2BORJK/5WrVqSZIzf7Fljx8/fkX1Z2RkONs6x%2BWqfMG6bQoKCvT6s6KiD%2BfRi2L0ATa5XOXrdcT7o%2BxclwHr6NGjysnJUaVKlbRgwQL9%2BOOPmjVrlnJzc53xX6pUqZLy8/MlSbm5uZecz83NdR7/ck6S8vPzL7vukkpMTFRCQoLXWHx8vHORflmwiltGAAAQ7klEQVQKCwst8234A/pwHr0oRh9gQ/XqVXxdQpng/WHfdRmw6tatq%2B3bt%2Bu3v/2tAgIC1KRJExUVFWncuHFq3br1BYEnPz9fISEhkqTg4OCLzoeGhnqFqeDgYOe/JSk0NPSSy55bd0kNGjRIXbp08RpzuSorM/P0Fa3nSgQFBSosLFTZ2TkqLCy6/ALlFH04j14Uow%2BwqSw/x32hIrw/fBWKr8uAJUnVqlXzetywYUPl5eUpPDxcJ06c8Jo7ceKEc/otMjLyovPh4eGKjIyUJHk8Huc6q3On8s7NX2rZKxEREXHB6UCP56QKCsr%2BxVtYWHRNtnO9ow/n0Yti9AE2lNfXEO8P%2B67Lk65///vf1aZNG%2BXk5Dhj3377rapVq%2BZcdG6MkVR8vdbOnTsVFRUlSYqKilJycrKz3LFjx3Ts2DFFRUUpMjJSderU8ZpPTk5WnTp1FBERoejoaB05ckTp6ele89HR0WW9ywAAoBy5LgNWTEyMgoOD9eSTT%2BrgwYP65JNPNGfOHD344IPq1q2bsrOz9fTTT2v//v16%2BumnlZOTo%2B7du0uS7r33Xm3YsEFr167V3r17NX78eN12222qX7%2B%2BMz9v3jxt375d27dv1/z58zVkyBBJUv369dWhQweNGzdOe/fu1dq1a5WUlKT77rvPZ70AAAD%2B57o8RVi1alW9%2BuqreuaZZ9SvXz9VqVJFf/zjH/Xggw8qICBAixcv1tSpU/Xmm2/qlltu0ZIlS1S5cmVJxeFsxowZWrhwof75z3%2Bqffv2mjlzprPuESNG6KefftLo0aMVFBSk/v37a9iwYc78nDlzNHnyZA0cOFDh4eF65pln1KJFi2vdAgAA4McCzLlzbShTHs/JMl2/yxWo6tWrKDPzdIU%2Bj04fzqMXxWz0gS97xjnvP9Le1yVYVRE%2BJ8LDb/DJdq/LU4QAAAD%2BjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWHZd3skdJedPN0AsbzfoAwDgUjiCBQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALDM5esCAADwF90XfObrEq7I%2B4%2B093UJFRZHsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQHrIvLy8jRp0iTFxcWpQ4cOWrp0qa9LAgAAfsTl6wKuR3PmzNHu3bu1YsUKHT16VBMmTFCdOnXUrVs3X5cGlAvdF3zm6xIAoEwRsH7lzJkzWrt2rV5%2B%2BWU1a9ZMzZo1U2pqqlavXk3AAgAAJcIpwl/Zu3evCgoKFBMT44zFxsbK7XarqKjIh5UBAAB/wRGsX/F4PKpevboqVarkjNWqVUt5eXnKyspSjRo1LruOjIwMeTwerzGXq7IiIiKs1%2BtPXK6yz/NBQYFef1Ykt8/7u69LAHCd8afT8R893tHXJVhFwPqVnJwcr3AlyXmcn59fonUkJiYqISHBa2z06NEaM2aMnSJ/4R9PF5%2B2zMjIUGJiogYNGlShg1xGRoZWrHilQvbh3GvhHF4TxejDefSiGH04j16UnYr3z/zLCA4OviBInXscEhJSonUMGjRIb7/9ttfPoEGDrNf6Sx6PRwkJCRccOato6MN59KIYfTiPXhSjD%2BfRi7LDEaxfiYyMVGZmpgoKCuRyFbfH4/EoJCREYWFhJVpHREQE/xIAAKAC4wjWrzRp0kQul0spKSnOWHJyspo3b67AQNoFAAAuj8TwK6GhoerTp4%2BmTZumXbt2afPmzVq6dKmGDBni69IAAICfCJo2bdo0XxdxvWnbtq327Nmj%2BfPn6/PPP9ef/vQn9evXz9dlXVaVKlXUunVrValSxdel%2BBR9OI9eFKMP59GLYvThPHpRNgKMMcbXRQAAAJQnnCIEAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbA8nN5eXmaNGmS4uLi1KFDBy1dutTXJZWZ48ePa%2BzYsWrdurU6duyo2bNnKy8vT5KUlpamYcOGKTo6Wj169NDWrVu9lt22bZt69eqlqKgoDRkyRGlpab7YBetGjhypJ554wnm8Z88eDRgwQFFRUerXr592797t9fykpCR17dpVUVFRio%2BP188//3ytS7YqPz9f06dPV6tWrfT73/9ezz33nM7dO7mi9eLYsWMaNWqUWrZsqS5dumj58uXOXEXoRX5%2Bvnr16qXt27c7Y1f7ubB8%2BXJ17NhRMTExmjRpknJycq7Jvlyti/UiJSVFf/zjHxUTE6M777xTa9eu9VqmvPbCpwz82owZM8xdd91ldu/ebT788EMTExNj3n//fV%2BXZV1RUZEZOHCgefDBB82%2BffvMjh07zO23326effZZU1RUZO666y7z2GOPmf3795uXXnrJREVFmSNHjhhjjDly5IiJjo42r776qtm3b5/57//%2Bb9OrVy9TVFTk4726OklJSaZRo0ZmwoQJxhhjTp8%2Bbdq3b2%2BeffZZs3//fjNz5kzz%2B9//3pw%2BfdoYY4zb7TYtWrQw77zzjvn222/N/fffb0aOHOnLXbhqTz31lLnjjjuM2%2B0227ZtM23atDFr1qypkL0YOHCgeeSRR8yhQ4fMRx99ZKKiosyHH35YIXqRm5tr4uPjTaNGjcwXX3xhjDFX/bmwadMmExsba/7v//7PuN1u06NHDzN9%2BnSf7WNJXawXGRkZJi4uzsyfP98cOnTIJCUlmebNm5stW7YYY8pvL3yNgOXHTp8%2BbZo3b%2B68iYwxZtGiReb%2B%2B%2B/3YVVlY//%2B/aZRo0bG4/E4Yxs3bjQdOnQw27ZtM9HR0c5fGMYYM3ToULNw4UJjjDELFizw6smZM2dMTEyMV9/8TWZmpunUqZPp16%2BfE7DWrl1runTp4nwoFhUVmdtvv92sW7fOGGPMuHHjnOcaY8zRo0fNLbfcYg4fPnztd8CCzMxM07RpU7N9%2B3ZnbPHixeaJJ56ocL3IysoyjRo1Mt99950zNnr0aDN9%2BvRy34vU1FRz9913m7vuussrVFzt58LgwYOd5xpjzI4dO0yLFi3MmTNnrsVulcqlevH666%2Bbbt26eT33qaeeMo8%2B%2Bqgxpnz24nrAKUI/tnfvXhUUFCgmJsYZi42NldvtVlFRkQ8rsy88PFyvvPKKatWq5TV%2B6tQpud1uNW3aVJUrV3bGY2NjlZKSIklyu92Ki4tz5kJDQ9WsWTNn3h/9%2Bc9/Vu/evXXzzTc7Y263W7GxsQoICJAkBQQEqGXLlpfsQ%2B3atVWnTh253e5rW7wlycnJqlq1qlq3bu2MjRw5UrNnz65wvQgJCVFoaKjefvttnT17VgcPHtTOnTvVpEmTct%2BLL7/8Um3atFFiYqLX%2BNV8LhQWFurrr7/2mo%2BOjtbZs2e1d%2B/eMt6j0rtUL85dUvFrp06dklQ%2Be3E9IGD5MY/Ho%2BrVq6tSpUrOWK1atZSXl6esrCwfVmZfWFiYOnbs6DwuKirSa6%2B9prZt28rj8SgiIsLr%2BTVr1lR6erokXXbe33z%2B%2Bef6xz/%2BoYcffthr/HL7mZGRUa76kJaWprp162r9%2BvXq1q2b/vCHP2jRokUqKiqqcL0IDg7WlClTlJiYqKioKHXv3l2dOnXSgAEDyn0vBg8erEmTJik0NNRr/Go%2BF7Kzs5WXl%2Bc173K5VK1ateu6L5fqRb169RQdHe08/umnn/TXv/5V7dq1k1Q%2Be3E9cPm6AJReTk6OV7iS5DzOz8/3RUnXzNy5c7Vnzx699dZbWr58%2BUX7cK4Hl%2BqTP/YoLy9PU6dO1ZQpUxQSEuI1d7n9zM3NLTd9kKQzZ87ohx9%2B0BtvvKHZs2fL4/FoypQpCg0NrXC9kKQDBw6oc%2BfOGj58uFJTUzVz5ky1a9euQvZCuvz74V/N5%2BbmOo8vtby/ys3N1ZgxY1SrVi0NGjRIUsXtRVkjYPmx4ODgC17g5x7/%2Bi/f8mTu3LlasWKFnn/%2BeTVq1EjBwcEXHLHLz893enCpPoWFhV2zmm1JSEjQrbfe6nU075xL7efl%2BvDrf%2B36C5fLpVOnTmn%2B/PmqW7euJOno0aNas2aNbrzxxgrVi88//1xvvfWWPvnkE4WEhKh58%2BY6fvy4/vd//1f169evUL0452o%2BF4KDg53Hv573576cPn1aDz/8sL7//nu9/vrrzr5UxF5cC5wi9GORkZHKzMxUQUGBM%2BbxeBQSEuKX4aEkZs6cqWXLlmnu3Lm68847JRX34cSJE17PO3HihHNI%2B1Lz4eHh16Zoi/76179q8%2BbNiomJUUxMjDZu3KiNGzcqJiamQvVBKr4uLzg42AlXkvTv//7vOnbsWIXrxe7du3XjjTd6/cOqadOmOnr0aIXrxTlXs9/VqlVTcHCw13xBQYGysrL8ti%2BnTp3SiBEjlJqaqhUrVqhBgwbOXEXrxbVCwPJjTZo0kcvl8rpYOzk5Wc2bN1dgYPn7X5uQkKA33nhDzz33nHr27OmMR0VF6ZtvvnEOZUvFfYiKinLmk5OTnbmcnBzt2bPHmfcnq1at0saNG7V%2B/XqtX79eXbp0UZcuXbR%2B/XpFRUXpq6%2B%2Bcu4DZYzRzp07L9mHY8eO6dixY37ZB6l4f/Ly8nTo0CFn7ODBg6pbt26F60VERIR%2B%2BOEHr6MMBw8eVL169SpcL865ms%2BFwMBANW/e3Gs%2BJSVFLpdLjRs3vnY7YUlRUZFGjx6tH3/8UatWrdLvfvc7r/mK1Itrype/woir99RTT5mePXsat9ttPvroI9OyZUvzwQcf%2BLos6/bv32%2BaNGlinn/%2BeZORkeH1U1BQYHr06GEeeeQRs2/fPrN48WITHR3t3O8mLS3NNG/e3CxevNi5x8tdd93l9/fBMsaYCRMmOL9if/LkSdO2bVszc%2BZMk5qaambOnGnat2/v/Jr6zp07TbNmzcybb77p3O9o1KhRviz/qo0cOdIMGjTIfPvtt%2BbTTz81bdu2NStWrKhwvcjOzjbt27c348aNMwcPHjR/%2B9vfTOvWrc2aNWsqVC9%2BeWuCq/1cSEpKMi1btjQfffSRcbvdpmfPnmbmzJk%2B27cr9cteJCYmmsaNG5stW7Z4fXZmZmYaY8p/L3yFgOXnzpw5Y8aPH2%2Bio6NNhw4dzLJly3xdUplYvHixadSo0UV/jDHm%2B%2B%2B/N/fdd5%2B59dZbTc%2BePc1nn33mtfzHH39s7rjjDtOiRQszdOhQv7nHz%2BX8MmAZU3zTyD59%2BpjmzZub/v37m2%2B%2B%2Bcbr%2BevWrTP/8R//YaKjo018fLz5%2Beefr3XJVmVnZ5tx48aZ6Oho065dO/OXv/zF%2BUuhovUiNTXVDBs2zLRs2dJ07drVLFu2rML14pehwpir/1xYvHixadeunYmNjTUTJ040ubm512Q/bPhlLx544IGLfnb%2B8t5X5bkXvhJgzP8/bgwAAAAryt%2BFOgAAAD5GwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZf8PdB3eCiU6t2cAAAAASUVORK5CYII%3D"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common758623643339006170">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">879.711</td>
<td class="number">405</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">654.866</td>
<td class="number">171</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">648.806</td>
<td class="number">160</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">897.253</td>
<td class="number">127</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">707.947</td>
<td class="number">92</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.409001</td>
<td class="number">56</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">1000.04</td>
<td class="number">20</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">1000.15</td>
<td class="number">20</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">1001.55</td>
<td class="number">20</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">1026.36</td>
<td class="number">19</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (367276)</td>
<td class="number">567903</td>
<td class="number">99.6%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">1307</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme758623643339006170">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">-8.62146</td>
<td class="number">2</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-7.42666</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:50%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-6.118905</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:50%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-5.489045</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:50%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-3.07398</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:50%">&nbsp;</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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">1302.77</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">1302.955</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">1303.18</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">1303.28</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">1303.84</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow ignore">
<div class="col-md-3 namecol">
<p class="h4"><s><code>FX87211.CPV1</code></s><br/>
<small>Highly correlated</small>
</p>
</div><div class="col-md-3">
<p><em>This variable is highly correlated with <code>WQI8100XCL1.CPV</code> and should be ignored for analysis</em></p>
</div>
<div class="col-md-6">
<table class="stats ">
<tr>
<th>Correlation</th>
<td>0.99148</td>
</tr>
</table>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4">FX87211.P01<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>22</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>0.0%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.3%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1432</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>21.064</td>
</tr>
<tr>
<th>Minimum</th>
<td>15</td>
</tr>
<tr>
<th>Maximum</th>
<td>35</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-8834683734394835990">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAAS1JREFUeJzt3cEJwkAQQFEVS7IIe/JsTxZhT2sD8jFCyBrfuwt7%2BcySjHocY4wD8NZp6wPAzM5bH2Arl9tj8Wee9%2BsKJ2FmJggEgUAQCASBQBAIBIFAEAgEgUAQCASBQPjbVZNvLF1PsZry%2B0wQCAKBIBAIAoEgEAgCgeAx74p8a/H3mSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEHaxi/XNzhN8wgSBIBAIAoEgEAgCgSAQCAKBIBAIu3hRuCd%2B6GEuJggEgUCY7oplr4qZTBcIy/nfkvW4YkEQCARXrD/kUfLnjmOMsfUhYFauWBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBBeKYgdaxa/c20AAAAASUVORK5CYII%3D">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives-8834683734394835990,#minihistogram-8834683734394835990"
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<div class="row collapse col-md-12" id="descriptives-8834683734394835990">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles-8834683734394835990"
aria-controls="quantiles-8834683734394835990" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram-8834683734394835990" aria-controls="histogram-8834683734394835990"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common-8834683734394835990" aria-controls="common-8834683734394835990"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme-8834683734394835990" aria-controls="extreme-8834683734394835990"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles-8834683734394835990">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>15</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>18</td>
</tr>
<tr>
<th>Q1</th>
<td>19</td>
</tr>
<tr>
<th>Median</th>
<td>21</td>
</tr>
<tr>
<th>Q3</th>
<td>23</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>26</td>
</tr>
<tr>
<th>Maximum</th>
<td>35</td>
</tr>
<tr>
<th>Range</th>
<td>20</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>4</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>2.7172</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.129</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>0.34267</td>
</tr>
<tr>
<th>Mean</th>
<td>21.064</td>
</tr>
<tr>
<th>MAD</th>
<td>2.1698</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>0.49158</td>
</tr>
<tr>
<th>Sum</th>
<td>11982000</td>
</tr>
<tr>
<th>Variance</th>
<td>7.3834</td>
</tr>
<tr>
<th>Memory size</th>
<td>4.4 MiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram-8834683734394835990">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzs3XlclXXe//H3gTNsGkEKJOljXMolU0BwmVEbdVzTyt1sckm7bUH4NbkiLebajVrpYLlmrkWOTRY5dWdji5XmoKBmTqCWK3AwcGURuH5/eHvujrggXQjn6vV8PHjQ%2BX6v63u%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%2B6qeAgDgf3EECwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTVYuAVVRUpD59%2Bmj79u2SpMmTJ6tJkyZlfoYPH%2B7cJyoqqkz/uXPnJEmFhYWaMmWKoqKi1KFDB73xxhsu93fkyBGNHDlS4eHhuu%2B%2B%2B7R161aX/q%2B//lp9%2BvRRWFiYhg8friNHjlTyIwAAAKykyj8Hq7CwUOPGjVN6erqzLT4%2BXuPGjXPePnbsmIYNG%2BYMWFlZWTpz5ow2b94sHx8f53Z%2Bfn6SpISEBO3du1crV67U8ePHNWnSJIWGhqpnz54yDEPR0dFq3LixNmzYoM2bN2vs2LHatGmTQkNDdfz4cUVHRysmJkYdO3bUwoUL9dRTT%2Bn999%2BXzWa7SY8KAABwZ1UasDIyMjRu3DgZhuHSfsstt%2BiWW25x3p48ebJ69uyprl27SpIOHDigoKAg1atXr8yY58%2Bf1/r167V06VI1b95czZs3V3p6utauXauePXtq27ZtOnLkiN5%2B%2B235%2BfmpUaNG%2Buabb7RhwwbFxMRo/fr1uueeezRq1ChJ0uzZs9W%2BfXt9%2B%2B23atu2bSU%2BGgAAwCqq9BThpdCSlJR01W2%2B%2BeYb7dixQ88884yzLSMjQw0aNLji9vv371dxcbEiIiKcbZGRkUpLS1NpaanS0tJ09913O492XepPTU2VJKWlpSkqKsrZ5%2Bvrq%2BbNmzv7AQAArqdKj2A9/PDD191myZIl6tevn%2BrUqeNsO3DggPLz8zVs2DAdOnRIzZo105QpU9SgQQM5HA4FBgbKy8vLuX3t2rVVWFiovLw8ORwOBQcHu9xHrVq1lJmZKUnX7QcAALieKr8G61qOHDmibdu2KT4%2B3qX94MGDOnXqlJ555hnVrFlTS5cu1ciRI/Xhhx8qPz/fJVxJct4uKiq6an9RUZEkXbe/PLKzs%2BVwOFza7Ha/MsHt1/L09HD5bRVWrauy2e1V93hZ%2BTmjNvdj1bok69ZmxbqqdcD6%2BOOP1axZM915550u7cuXL9eFCxdUo0YNSdLcuXP1pz/9SVu2bJG3t3eZMHTpto%2BPj7y9vZWXl1em/9LF8lfb39/fv9zzTkpKUmJioktbdHS0YmNjyz3GjfD3962UcauaVeuqLIGBNap6CpZ%2BzqjN/Vi1Lsm6tVmprmodsL788kv9%2Bc9/LtPu5eXlcpTJ29tbdevWVVZWllq1aqXc3FwVFxfLbr9YnsPhkI%2BPj/z9/RUSEqKMjAyX8XJycpxHl0JCQpSTk1Omv1mzZuWe95AhQ9SlSxeXNrvdT7m558o9Rnl4enrI399Xp0/nq6Sk1NSxq5JV66psZr%2B%2BboSVnzNqcz9WrUuybm2VWVdV/eOz2gYswzC0Z88ePfHEE2Xau3Xrpqeeekr9%2B/eXdPEvB3/66Sc1bNhQzZo1k91uV2pqqvNi9ZSUFLVo0UIeHh4KCwvTkiVLVFBQ4DxqlZKSosjISElSWFiYUlJSnPeXn5%2Bvffv2aezYseWee3BwcJnTgQ7HGRUXV85iKCkprbSxq5JV66os1eGxsvJzRm3ux6p1SdatzUp1VduTnceOHdO5c%2BfKnB602Wzq1KmT/va3v2n79u1KT0/XxIkTdfvtt%2BtPf/qTfH191bdvX02dOlW7d%2B/W5s2b9cYbbzg/Q6tNmzaqU6eO4uLilJ6eriVLlmj37t0aOHCgJGnAgAHauXOnlixZovT0dMXFxalu3bp8RAMAACi3ahuwTp48KUm69dZby/RNmDBBPXr00Lhx4zRo0CAVFxdryZIl8vT0lCTFxcWpefPmGjFihF588UXFxMSoe/fukiRPT0%2B99tprcjgc6t%2B/v95//30tXLhQoaGhkqS6devqb3/7mzZs2KCBAwcqLy9PCxcu5ENGAQBAudmMyz/lE5XC4Thj%2Bph2u4cCA2soN/ecZQ6pStWnrl6vflVl910R/3y6fZXdd3V5zioDtbkfq9YlWbe2yqwrKOiW629UCartESwAAAB3RcACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMFm1CFhFRUXq06ePtm/f7mybMWOGmjRp4vKzZs0aZ39ycrK6du2qsLAwRUdH6%2Beff3b2GYahuXPnql27dmrTpo0SEhJUWlrq7M/NzVVMTIwiIiLUpUsXbdy40WU%2B%2B/bt06BBgxQWFqYBAwZo7969lVg9AACwmioPWIWFhXrmmWeUnp7u0n7gwAGNGzdOW7dudf4MGDBAkrR7927Fx8dr7NixSkpK0unTpxUXF%2Bfcd8WKFUpOTlZiYqIWLFigDz74QCtWrHD2x8XF6cyZM0pKStKTTz6pZ599Vrt375YknT9/XmPGjFFUVJTeffddRURE6PHHH9f58%2BdvwqMBAACsoEoDVkZGhgYPHqzDhw%2BX6Ttw4IDuvvtuBQUFOX98fX0lSWvWrFGvXr3Ut29fNW3aVAkJCfr888915MgRSdKqVasUGxurqKgotWvXTuPHj9fatWslSYcPH9aWLVs0Y8YMNW7cWIMGDdIDDzygdevWSZI2bdokb29vTZw4UY0aNVJ8fLxq1Kihjz766CY9KgAAwN1VacD69ttv1bZtWyUlJbm0nz17VllZWapfv/4V90tLS1NUVJTzdp06dRQaGqq0tDRlZWXpxIkTat26tbM/MjJSx44dU3Z2ttLS0lSnTh3VrVvXpX/Xrl3OsSMjI2Wz2SRJNptNrVq1UmpqqlllAwAAi7NX5Z0//PDDV2w/cOCAbDabFi1apC%2B%2B%2BEIBAQF69NFH1a9fP0lSdna2goODXfapVauWMjMz5XA4JMmlv3bt2pLk7L/SvllZWZIkh8OhO%2B%2B8s0z/5acwAQAArqZKA9bVHDx4UDabTQ0bNtQjjzyiHTt26LnnnlPNmjXVrVs3FRQUyMvLy2UfLy8vFRUVqaCgwHn7l33SxYvp8/Pzr7qvpOv2l0d2drYz6F1it/uVCXa/lqenh8tvq7BqXZXNbq%2B6x8vKzxm1uR%2Br1iVZtzYr1lUtA1bfvn3VuXNnBQQESJKaNm2qH3/8UW%2B99Za6desmb2/vMoGnqKhIvr6%2BLmHK29vb%2Bd%2BS5Ovre9V9fXx8JOm6/eWRlJSkxMREl7bo6GjFxsaWe4wb4e/vWynjVjWr1lVZAgNrVPUULP2cUZv7sWpdknVrs1Jd1TJg2Ww2Z7i6pGHDhtq2bZskKSQkRDk5OS79OTk5CgoKUkhIiKSLp/ouXWd16WjSpf6r7XutsW/k6NOQIUPUpUsXlza73U%2B5uefKPUZ5eHp6yN/fV6dP56ukpPT6O7gJq9ZV2cx%2Bfd0IKz9n1OZ%2BrFqXZN3aKrOuqvrHZ7UMWPPnz9euXbv05ptvOtv279%2Bvhg0bSpLCwsKUkpKi/v37S5JOnDihEydOKCwsTCEhIQoNDVVKSoozYKWkpCg0NFTBwcEKDw/XsWPHlJmZqdtvv93ZHx4e7hx76dKlMgxDNptNhmFo586deuKJJ8o9/%2BDg4DKBzOE4o%2BLiylkMJSWllTZ2VbJqXZWlOjxWVn7OqM39WLUuybq1Wamuanmys3PnztqxY4eWL1%2Buw4cPa926dXrvvfc0atQoSdLQoUO1ceNGrV%2B/Xvv379fEiRPVqVMn1atXz9k/d%2B5cbd%2B%2BXdu3b9e8efM0fPhwSVK9evXUoUMHTZgwQfv379f69euVnJysv/zlL5Kknj176vTp05o5c6YyMjI0c%2BZM5efnq1evXlXzYAAAALdTLY9gtWzZUvPnz9eCBQs0f/583XHHHZo3b54iIiIkSREREZo2bZoWLFigU6dOqX379po%2Bfbpz/9GjR%2BvkyZMaO3asPD09NXDgQI0cOdLZn5CQoPj4eA0ePFhBQUGaNWuWWrZsKUmqWbOmFi9erBdeeEHvvPOOmjRpoiVLlsjPz%2B%2BmPgYAAMB92QzDMKp6Er8FDscZ08e02z0UGFhDubnnLHNIVao%2BdfV69asqu%2B%2BK%2BOfT7avsvqvLc1YZqM39WLUuybq1VWZdQUG3mDpeeVXLU4QAAADujIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAms1f1BACYw52%2BnLoqv5gaAG4GjmABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmKxaBKyioiL16dNH27dvd7alpqbqoYceUkREhHr06KH169e77PPAAw%2BoSZMmLj8//PCDJMkwDM2dO1ft2rVTmzZtlJCQoNLSUue%2Bubm5iomJUUREhLp06aKNGze6jL1v3z4NGjRIYWFhGjBggPbu3VuJ1QMAAKuxV/UECgsLNW7cOKWnpzvbHA6H/uu//ktDhw7VSy%2B9pO%2B%2B%2B05xcXEKCgpSp06dVFJSoh9//FFr1qxR/fr1nfsFBgZKklasWKHk5GQlJiaquLhYEyZMUK1atTR69GhJUlxcnAoKCpSUlKS0tDQ9%2B%2ByzatCggVq2bKnz589rzJgxuv/%2B%2B/XSSy/prbfe0uOPP65PPvlEfn5%2BN/WxAQAA7qlKA1ZGRobGjRsnwzBc2jdv3qzatWvrmWeekSTVr19f27dv1wcffKBOnTrp6NGjunDhglq2bClvb%2B8y465atUqxsbGKioqSJI0fP17z58/X6NGjdfjwYW3ZskWffvqp6tatq8aNGys1NVXr1q1Ty5YttWnTJnl7e2vixImy2WyKj4/XF198oY8%2B%2Bkj9%2B/ev/AcFAAC4vSo9Rfjtt9%2Bqbdu2SkpKcmnv2LGjZs%2BeXWb7s2fPSroYzOrUqXPFcJWVlaUTJ06odevWzrbIyEgdO3ZM2dnZSktLU506dVS3bl2X/l27dkmS0tLSFBkZKZvNJkmy2Wxq1aqVUlNTf33BAADgN6FKj2A9/PDDV2yvW7euSwA6efKkPvzwQ8XExEiSDhw4oN/97nd6/PHHtXfvXjVo0EATJ05Uy5Yt5XA4JEnBwcHO/WvXri1JyszMlMPhcOmTpFq1aikrK0vSxdOTd955Z5n%2BX57CvJ7s7GznPC6x2/3K3O%2Bv5enp4fLbKqxaF/6P3e4%2Bz62VX49Wrc2qdUnWrc2KdVX5NVjXU1BQoJiYGNWuXVtDhgyRJB06dEinTp3SoEGDFBsbq3feeUcjRozQpk2bVFBQIEny8vJyjnHpv4uKipSfn%2B/Sd6m/qKhIkq7bXx5JSUlKTEx0aYuOjlZsbGy5x7gR/v6%2BlTJuVbNqXZACA2tU9RRumJVfj1atzap1SdatzUp1VeuAde7cOT311FP68ccftW7dOvn6Xnzgp0%2BfroKCAtWsWVOSNHXqVO3cuVMbN27UH//4R0kXw9SlU4iXwpGvr6%2B8vb3LhKWioiL5%2BPhI0nX7y2PIkCHq0qWLS5vd7qfc3HPlHqM8PD095O/vq9On81VSUnr9HdyEVevC/zF7LVQmK78erVqbVeuSrFtbZdZVVf%2Bgq7YB6%2BzZs3rsscd0%2BPBhrVy50uWvBe12uzNcSRevk2rYsKGysrIUEhIi6eKpvkunGS%2BdrgsKClJISIhycnJc7isnJ0dBQUGSdNX%2BGzm9FxwcXGZ7h%2BOMiosrZzGUlJRW2thVyap1QW75vFr59WjV2qxal2Td2qxUV7U82VlaWqqxY8fq6NGjWr16te666y6X/mHDhrmcgistLdV//vMfNWzYUCEhIQoNDVVKSoqzPyUlRaGhoQoODlZ4eLiOHTumzMxMl/7w8HBJUlhYmHbt2uX8y0bDMLRz506FhYVVZskAAMBCquURrL///e/avn27Xn/9dfn7%2BzuPQP3ud79TQECAunTpooULF6pZs2Zq0KCBVq1apTNnzqhfv36SpKFDh2ru3Lm6/fbbJUnz5s3TqFGjJEn16tVThw4dNGHCBMXHx2vPnj1KTk7WmjVrJEk9e/bUvHnzNHPmTD300EN6%2B%2B23lZ%2Bfr169elXBIwEAANxRtQxYH3/8sUpLS/X444%2B7tLdp00arV6/WyJEjVVhYqBkzZignJ0dhYWFasWKF87Th6NGjdfLkSY0dO1aenp4aOHCgRo4c6RwnISFB8fHxGjx4sIKCgjRr1iy1bNlSklSzZk0tXrxYL7zwgt555x01adJES5Ys4UNGAQBAudmMyz/lE5XC4Thj%2Bph2u4cCA2soN/ecZc5ZS9Wnrl6vflVl9211/3y6fVVPodyqy%2BuxMli1NqvWJVm3tsqsKyjoFlPHK69qeQ0WAACAOyNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmq1DAGjRokN5%2B%2B22dOWP%2Bp5MDAAC4uwp9F2G7du20aNEizZ49W3/%2B85/Vv39/tW/fXjabzez5AbAgd/saon/P7FnVUwDgZip0BGvcuHHasmWLXnvtNXl6eiomJkadOnXSK6%2B8okOHDpk9RwAAALdSoSNYkmSz2dS%2BfXu1b99e%2Bfn5Wr16tV577TUtWbJErVq10ogRI9S9e3cz5woAAOAWKhywJCk7O1vvv/%2B%2B3n//ff3www9q1aqV%2BvXrp8zMTD377LPasWOH4uPjzZorAACAW6hQwNq4caM2btyo7du367bbblPfvn21YMEC1a9f37lNnTp1NHPmTAIWAAD4zalQwIqPj1fnzp21cOFC3XvvvfLwKHspV8OGDfXII4/86gkCAAC4mwoFrC%2B%2B%2BEKBgYHKy8tzhqvdu3erefPm8vT0lCS1atVKrVq1Mm%2BmAAAAbqJCf0V49uxZ9ezZU0uXLnW2jRkzRg8%2B%2BKBOnDhh2uQAAADcUYUC1qxZs/T73/9ejz76qLNt06ZNqlOnjmbPnm3a5AAAANxRhQLWv//9b02ePFlBQUHOtttuu00TJ07Utm3bTJscAACAO6pQwLLb7Tp9%2BnSZ9vz8fBmG8asnBQAA4M4qFLDuvfdezZgxQ4cPH3a2HTlyRLNnz1bHjh1NmxwAAIA7qtBfEU6aNEmPPvqoevToIX9/f0nS6dOn1bx5c8XFxZk6QQAAAHdToYBVq1Yt/eMf/9DXX3%2Bt9PR02e123XnnnfrDH/7AFz4DAIDfvAp/VY6np6c6duzIKUEAAIDLVChgORwOvfrqq9q5c6cuXLhQ5sL2Tz/91JTJAQAAuKMKBaznnntOe/fuVe/evXXLLbeYPScAAAC3VqGAtW3bNi1btkxRUVFmzwcAAMDtVehjGvz8/FSrVi2z5wIAAGAJFQpYDz74oJYtW6aSkhKz5wMAAOD2KhSw8vLy9P777%2Bvee%2B/VQw89pOHDh7v83IiioiL16dNH27dvd7YdOXJEI0eOVHh4uO677z5t3brVZZ%2Bvv/5affr0UVhYmIYPH64jR4649L/55pvq2LGjIiIiNGXKFOXn5zv7CgsLNWXKFEVFRalDhw564403XPa93n0DAABcT4UCliT16dNH9957rxo0aKA77rjD5ae8CgsL9cwzzyg9Pd3ZZhiGoqOjVbt2bW3YsEEPPvigxo4dq%2BPHj0uSjh8/rujoaPXv319///vfddttt%2Bmpp55y/iXjxx9/rMTERE2bNk0rV65UWlqa5syZ4xw/ISFBe/fu1cqVK/XCCy8oMTFRH330UbnuGwAAoDwqdJH77Nmzf/UdZ2RkaNy4cWU%2B4mHbtm06cuSI3n77bfn5%2BalRo0b65ptvtGHDBsXExGj9%2BvW65557NGrUKOdc2rdvr2%2B//VZt27bVqlWrNGLECHXu3FmS9OKLL2r06NGaMGGCDMPQ%2BvXrtXTpUjVv3lzNmzdXenq61q5dq549e173vgEAAMqjwkewsrOzlZiYqHHjxunkyZP66KOPdPDgwXLvfykQJSUlubSnpaXp7rvvlp%2Bfn7MtMjJSqampzv5f/vWir6%2BvmjdvrtTUVJWUlGjPnj0u/eHh4bpw4YL279%2Bv/fv3q7i4WBERES5jp6WlqbS09Lr3DQAAUB4VOoL1008/afDgwapZs6aysrL09NNPa9OmTYqLi9Obb76psLCw647x8MMPX7Hd4XAoODjYpa1WrVrKzMy8bv/p06dVWFjo0m%2B32xUQEKDMzEx5eHgoMDBQXl5ezv7atWursLBQeXl5173v8srOzpbD4XBps9v9yoz9a3l6erj8tgqr1gX3ZsXXo1XXmlXrkqxbmxXrqlDAeumll9S1a1fNmDFDrVq1kiS9/PLLmjRpkubOnavVq1dXeEL5%2BfkuAUiSvLy8VFRUdN3%2BgoIC5%2B0r9RuGccU%2B6eLF9te77/JKSkpSYmKiS1t0dLRiY2NvaJzy8vf3rZRxq5pV64J7svLr0aq1WbUuybq1WamuCgWsnTt3au3atS5f7Gy32/XUU09p8ODBv2pC3t7eysvLc2krKiqSj4%2BPs//ywFNUVCR/f395e3s7b1/e7%2Bvrq5KSkiv2SZKPj89177u8hgwZoi5duri02e1%2Bys09d0PjXI%2Bnp4f8/X11%2BnS%2BSkpKTR27Klm1Lrg3K74erbrWrFqXZN3aKrOuwMAapo5XXhUKWKWlpSotLfsAnDt3Tp6enr9qQiEhIcrIyHBpy8nJcZ5eCwkJUU5OTpn%2BZs2aKSAgQN7e3srJyVGjRo0kScXFxcrLy1NQUJAMw1Bubq6Ki4tlt18s3eFwyMfHR/7%2B/te97/IKDg4us4/DcUbFxZWzGEpKSitt7Kpk1brgnqz8erRqbVatS7JubVaqq0InOzt06KDFixe7hKy8vDzNmTNH7dq1%2B1UTCgsL03fffec83SdJKSkpzuu6wsLClJKS4uzLz8/Xvn37FBYWJg8PD7Vo0cKlPzU1VXa7XU2bNlWzZs1kt9tdLlpPSUlRixYt5OHhcd37BgAAKI8KBazJkydr79696tChgwoLC/Xkk0%2Bqc%2BfOOnr0qCZNmvSrJtSmTRvVqVNHcXFxSk9P15IlS7R7924NHDhQkjRgwADt3LlTS5YsUXp6uuLi4lS3bl21bdtW0sWL55cvX67Nmzdr9%2B7dmjp1qgYPHixfX1/5%2Bvqqb9%2B%2Bmjp1qnbv3q3NmzfrjTfecH446vXuGwAAoDwqdIowJCRE7733npKTk/X999%2BrtLRUQ4cO1YMPPqiaNWv%2Bqgl5enrqtddeU3x8vPr376/f//73WrhwoUJDQyVJdevW1d/%2B9jfNmjVLCxcuVEREhBYuXOi8Hqx37946duyYnn/%2BeRUVFal79%2B6aMGGCc/y4uDhNnTpVI0aMUM2aNRUTE6Pu3buX674BAADKw2Zc/kmfqBQOxxnTx7TbPRQYWEO5uecsc85aqj519Xr1qyq7b1Qv/57Zs8pfj5Whuqw1s1m1Lsm6tVVmXUFBt5g6XnlV6AjW9b5vcNWqVRWaDAAAgBVUKGBd/n2DxcXF%2Bumnn/TDDz9oxIgRpkwMAADAXZn6XYQLFy684U89BwAAsBpTP5P%2BwQcf1D//%2BU8zhwQAAHA7pgasXbt2/eoPGgUAAHB3pl3kfvbsWf3nP/%2B56pc4AwAA/FZUKGCFhoa6fA%2BhJP3ud7/TI488ogceeMCUiQEAALirCgWsl156yex5AAAAWEaFAtaOHTvKvW3r1q0rchcAAABuq0IBa9iwYc5ThL/8IPjL22w2m77//vtfO0cAAAC3UqGAtWjRIs2YMUMTJkxQmzZt5OXlpT179mjatGnq16%2Bf7rvvPrPnCQAA4DYq9DENs2fP1vPPP68ePXooMDBQNWrUULt27TRt2jS99dZbuuOOO5w/AAAAvzUVCljZ2dlXDE81a9ZUbm7ur54UAACAO6tQwAoPD9fLL7%2Bss2fPOtvy8vI0Z84c/eEPfzBtcgAAAO6oQtdgPfvssxo%2BfLjuvfde1a9fX4Zh6Mcff1RQUJBWrVpl9hwBAADcSoUCVqNGjbRp0yYlJyfrwIEDkqS//OUv6t27t3x9fU2dIAAAgLupUMCSpFtvvVWDBg3S0aNHVa9ePUkXP80dAAAvpM33AAAgAElEQVTgt65C12AZhqG5c%2BeqdevW6tOnjzIzMzVp0iTFx8frwoULZs8RAADArVQoYK1evVobN27UCy%2B8IC8vL0lS165dtXnzZiUmJpo6QQAAAHdToYCVlJSk559/Xv3793d%2Bevt9992nGTNm6IMPPjB1ggAAAO6mQgHr6NGjatasWZn2pk2byuFw/OpJAQAAuLMKBaw77rhDe/bsKdP%2BxRdfOC94BwAA%2BK2q0F8Rjh49Wi%2B%2B%2BKIcDocMw9A333yjpKQkrV69WpMnTzZ7jgAAAG6lQgFrwIABKi4u1uuvv66CggI9//zzuu222/T0009r6NChZs8RAADArVQoYCUnJ6tnz54aMmSIfv75ZxmGoVq1apk9NwAAALdUoWuwpk2b5ryY/bbbbiNcAQAA/EKFAlb9%2BvX1ww8/mD0XAAAAS6jQKcKmTZtq/PjxWrZsmerXry9vb2%2BX/tmzZ5syOQAAAHdUoYB16NAhRUZGShKfewUAAHCZcgeshIQEjR07Vn5%2Bflq9enVlzkmS9O677youLq5Mu81m0/79%2B/Xkk0/qX//6l0vfokWL1LlzZ0nSm2%2B%2BqeXLl%2Bvs2bPq1auXnnvuOfn6%2BkqSCgsL9eKLL%2Bp//ud/5OPjo1GjRmnUqFHOcY4cOaLnnntOqampCg0N1ZQpU9ShQ4dKrBYAAFhJua/BWrFihfLz813axowZo%2BzsbNMnJV386p2tW7c6fz777DP9/ve/1/DhwyVJBw4c0Jw5c1y2ad%2B%2BvSTp448/VmJioqZNm6aVK1cqLS1Nc%2BbMcY6dkJCgvXv3auXKlXrhhReUmJiojz76SNLFL7KOjo5W7dq1tWHDBj344IMaO3asjh8/Xil1AgAA6yn3ESzDMMq07dixQ4WFhaZO6BIfHx/5%2BPg4by9evFiGYWj8%2BPEqKirS0aNH1aJFCwUFBZXZd9WqVRoxYoTzaNaLL76o0aNHa8KECTIMQ%2BvXr9fSpUvVvHlzNW/eXOnp6Vq7dq169uypbdu26ciRI3r77bfl5%2BenRo0a6ZtvvtGGDRsUExNTKbUCAABrqdBfEd5seXl5Wrp0qcaNGycvLy8dPHhQNpvtil/LU1JSoj179igqKsrZFh4ergsXLmj//v3av3%2B/iouLFRER4eyPjIxUWlqaSktLlZaWprvvvlt%2Bfn4u/ampqZVbJAAAsAy3CFhvvfWWgoOD1bNnT0nSwYMHVbNmTU2cOFEdOnTQwIED9fnnn0uSTp8%2BrcLCQgUHBzv3t9vtCggIUGZmphwOhwIDA%2BXl5eXsr127tgoLC5WXlyeHw%2BGyryTVqlVLmZmZN6FSAABgBTf0V4Q2m62y5nFVl07pPfbYY862gwcPqqCgQB06dNCYMWP0ySef6Mknn1RSUpJq164tSS4B6tLtoqIiGYZxxT5JKioqUn5%2B/lX3La/s7Owyf11pt/uVCW6/lqenh8tvq7BqXXBvVnw9WnWtWbUuybq1WbGuGwpYM2bMcPnMqwsXLmjOnDmqUaOGy3Zmfg7Wnj17lJWVpd69ezvbnnrqKQ0bNky33nqrpIufy/Xdd9/pnXfe0V//%2BldJKhOIioqK5Ovrq5KSkiv2SRev%2B/L29lZeXl6Z/l9eD3Y9SUlJSkxMdGmLjo5WbGxsuce4Ef7%2BvpUyblWzal1wT1Z%2BPVq1NqvWJVm3NivVVe6A1bp16zJHZSIiIpSbm6vc3FzTJ3bJl19%2BqaioKGeYkiQPDw%2BX25LUsGFDZWRkKCAgQN7e3srJyVGjRo0kScXFxcrLy1NQUJAMw1Bubq6Ki4tlt18s3%2BFwyMfHR/7%2B/goJCVFGRobL2Dk5OTd09GnIkCHq0qWLS5vd7qfc3HM3VPv1eHp6yN/fV6dP56ukpNTUsauSVeuCe7Pi69Gqa82qdUnWra0y6woMrHH9jSpBuQPWzfjsqyvZvXu3WrVq5dI2efJk2Ww2lyNl%2B/fvV%2BPGjeXh4aEWLVooJSVFbdu2lSSlpqbKbreradOmki5ek5Wamuq8ED4lJUUtWrSQh4eHwsLCtGTJEhUUFDiPWqWkpDg/WLU8goODywQyh%2BOMiosrZzGUlJRW2thVyap1wT1Z%2BfVo1dqsWpdk3dqsVFe1P9mZnp6uO%2B%2B806WtS5cu%2BuCDD/Tee%2B/pp59%2BUmJiolJSUvTII49Ikh5%2B%2BGEtX75cmzdv1u7duzV16lQNHjxYvr6%2B8vX1Vd%2B%2BfTV16lTt3r1bmzdv1htvvOH8fK02bdqoTp06iouLU3p6upYsWaLdu3dr4MCBN712AADgnir0VTk3U05Ojvz9/V3aunfvrhdeeEGvv/66jh8/rrvuukvLli1T3bp1JUm9e/fWsWPH9Pzzz6uoqEjdu3fXhAkTnPvHxcVp6tSpGjFihGrWrKmYmBh1795dkuTp6anXXntN8fHx6t%2B/v37/%2B99r4cKFCg0NvXlFAwAAt2YzrvQJojCdw3HG9DHtdg8FBtZQbu45yxxSlapPXb1e/arK7hvVy79n9qzy12NlqC5rzWxWrUuybm2VWVdQ0C2mjlde1f4UIQAAgLshYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMnsVT0B/Hbw5ckAgN8KjmABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmKzaBqxPPvlETZo0cfmJjY2VJO3bt0%2BDBg1SWFiYBgwYoL1797rsm5ycrK5duyosLEzR0dH6%2BeefnX2GYWju3Llq166d2rRpo4SEBJWWljr7c3NzFRMTo4iICHXp0kUbN268OQUDAADLqLYBKyMjQ507d9bWrVudPzNmzND58%2Bc1ZswYRUVF6d1331VERIQef/xxnT9/XpK0e/duxcfHa%2BzYsUpKStLp06cVFxfnHHfFihVKTk5WYmKiFixYoA8%2B%2BEArVqxw9sfFxenMmTNKSkrSk08%2BqWeffVa7d%2B%2B%2B6fUDAAD3VW0D1oEDB9S4cWMFBQU5f/z9/bVp0yZ5e3tr4sSJatSokeLj41WjRg199NFHkqQ1a9aoV69e6tu3r5o2baqEhAR9/vnnOnLkiCRp1apVio2NVVRUlNq1a6fx48dr7dq1kqTDhw9ry5YtmjFjhho3bqxBgwbpgQce0Lp166rscQAAAO6nWges%2BvXrl2lPS0tTZGSkbDabJMlms6lVq1ZKTU119kdFRTm3r1OnjkJDQ5WWlqasrCydOHFCrVu3dvZHRkbq2LFjys7OVlpamurUqaO6deu69O/atauSqgQAAFZULQOWYRg6dOiQtm7dqh49eqhr166aO3euioqK5HA4FBwc7LJ9rVq1lJmZKUnKzs6%2Bar/D4ZAkl/7atWtLkrP/SvtmZWWZXiMAALAue1VP4EqOHz%2Bu/Px8eXl56dVXX9XRo0c1Y8YMFRQUONt/ycvLS0VFRZKkgoKCq/YXFBQ4b/%2ByT5KKioquO3Z5ZWdnO8PcJXa7X5nw9mt5enq4/AZQeay4zqz6HmLVuiTr1mbFuqplwLrjjju0fft23XrrrbLZbGrWrJlKS0s1YcIEtWnTpkzgKSoqko%2BPjyTJ29v7iv2%2Bvr4uYcrb29v535Lk6%2Bt71X0vjV1eSUlJSkxMdGmLjo52/hWk2fz9fStlXAD/x8rrzKq1WbUuybq1WamuahmwJCkgIMDldqNGjVRYWKigoCDl5OS49OXk5DiPDoWEhFyxPygoSCEhIZIkh8PhvM7q0pGmS/1X2/dGDBkyRF26dHFps9v9lJt77obGuR5PTw/5%2B/vq9Ol8lZSUXn8HABVmxXVm1fcQq9YlWbe2yqwrMLCGqeOVV7UMWF9%2B%2BaXGjx%2Bvzz77TL6%2BF9Ps999/r4CAAEVGRmrp0qUyDEM2m02GYWjnzp164oknJElhYWFKSUlR//79JUknTpzQiRMnFBYWppCQEIWGhiolJcUZsFJSUhQaGqrg4GCFh4fr2LFjyszM1O233%2B7sDw8Pv6H5BwcHlzkd6HCcUXFx5SyGkpLSShsbwEVWXmdWrc2qdUnWrc1KdVXLk50RERHy9vbWs88%2Bq4MHD%2Brzzz9XQkKCHnvsMfXs2VOnT5/WzJkzlZGRoZkzZyo/P1%2B9evWSJA0dOlQbN27U%2BvXrtX//fk2cOFGdOnVSvXr1nP1z587V9u3btX37ds2bN0/Dhw%2BXJNWrV08dOnTQhAkTtH//fq1fv17Jycn6y1/%2BUmWPBQAAcD/V8ghWzZo1tXz5cs2aNUsDBgxQjRo19NBDD%2Bmxxx6TzWbT4sWL9cILL%2Bidd95RkyZNtGTJEvn5%2BUm6GM6mTZumBQsW6NSpU2rfvr2mT5/uHHv06NE6efKkxo4dK09PTw0cOFAjR4509ickJCg%2BPl6DBw9WUFCQZs2apZYtW97shwAAALgxm2EYRlVP4rfA4Thj%2Bph2u4cCA2soN/ecWxxS7fXqV1U9BaBC/j2zp9ussxvhbu8h5WXVuiTr1laZdQUF3WLqeOVVLU8RAgAAuDMCFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACazV/UEAKC6i4r/qKqncEP%2B%2BXT7qp4C8JvHESwAAACTEbAAAABMVm0DVlZWlmJjY9WmTRt17NhRs2fPVmFhoSRpxowZatKkicvPmjVrnPsmJyera9euCgsLU3R0tH7%2B%2BWdnn2EYmjt3rtq1a6c2bdooISFBpaWlzv7c3FzFxMQoIiJCXbp00caNG29e0QAAwBKq5TVYhmEoNjZW/v7%2BWrt2rU6dOqUpU6bIw8NDkyZN0oEDBzRu3Dj169fPuU/NmjUlSbt371Z8fLxefPFFNW3aVDNnzlRcXJwWL14sSVqxYoWSk5OVmJio4uJiTZgwQbVq1dLo0aMlSXFxcSooKFBSUpLS0tL07LPPqkGDBmrZsuXNfyAAAIBbqpYB6%2BDBg0pNTdVXX32l2rVrS5JiY2P13//9386ANXr0aAUFBZXZd82aNerVq5f69u0rSUpISFDnzp115MgR1atXT6tWrVJsbKyioqIkSePHj9f8%2BfM1evRoHT58WFu2bNGnn36qunXrqnHjxkpNTdW6desIWAAAoNyq5SnCoKAgLVu2zBmuLjl79qzOnj2rrKws1a9f/4r7pqWlOcOTJNWpU0ehoaFKS0tTVlaWTpw4odatWzv7IyMjdezYMWVnZystLU116tRR3bp1Xfp37dplboEAAMDSquURLH9/f3Xs2NF5u7S0VGvWrFG7du104MAB2Ww2LVq0SF988YUCAgL06KOPOk8XZmdnKzg42GW8WrVqKTMzUw6HQ5Jc%2Bi%2BFuEv9V9o3KyvrhuafnZ3tvK9L7Ha/MmP/Wp6eHi6/AUCS7PbyvSdY9T3EqnVJ1q3NinVVy4B1uTlz5mjfvn36%2B9//ru%2B%2B%2B042m00NGzbUI488oh07dui5555TzZo11a1bNxUUFMjLy8tlfy8vLxUVFamgoMB5%2B5d9klRUVKT8/Pyr7nsjkpKSlJiY6NIWHR2t2NjYGxqnvPz9fStlXADuKTCwxg1tb9X3EKvWJVm3NivVVe0D1pw5c7Ry5Uq98soraty4se666y517txZAQEBkqSmTZvqxx9/1FtvvaVu3brJ29u7TCAqKiqSr6%2BvS5jy9vZ2/rck%2Bfr6XnVfHx%2BfG5rzkCFD1KVLF5c2u91Pubnnbmic6/H09JC/v69On85XSUnp9XcA8JtQ3vcaq76HWLUuybq1VWZdN/oPDrNU64A1ffp0vfXWW5ozZ4569OghSbLZbM5wdUnDhg21bds2SVJISIhycnJc%2BnNychQUFKSQkBBJksPhcF5ndelU3qX%2Bq%2B17I4KDg8ucDnQ4zqi4uHIWQ0lJaaWNDcD93Oj7gVXfQ6xal2Td2qxUV7U92ZmYmKi3335bL7/8snr37u1snz9/vkaOHOmy7f79%2B9WwYUNJUlhYmFJSUpx9J06c0IkTJxQWFqaQkBCFhoa69KekpCg0NFTBwcEKDw/XsWPHlJmZ6dIfHh5eSVUCAAArqpZHsA4cOKDXXntNY8aMUWRkpMsF4507d9aSJUu0fPlydevWTVu3btV7772nVatWSZKGDh2qYcOGKTw8XC1atNDMmTPVqVMn1atXz9k/d%2B5c3X777ZKkefPmadSoUZKkevXqqUOHDpowYYLi4%2BO1Z88eJScnu3yIKQAAwPVUy4D16aefqqSkRK%2B//rpef/11l77//Oc/mj9/vhYsWKD58%2Bfrjjvu0Lx58xQRESFJioiI0LRp07RgwQKdOnVK7du31/Tp0537jx49WidPntTYsWPl6empgQMHuhwRS0hIUHx8vAYPHqygoCDNmjWLz8ACAAA3xGYYhlHVk/gtcDjOmD6m3e6hwMAays095xbnrHu9%2BlVVTwH4Tfjn0%2B3LtZ27vYeUl1XrkqxbW2XWFRR0i6njlVe1vQYLAADAXVXLU4Qov6j4j6p6CgAA4DIcwQIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGR8VQ4AWIw7fbF6eb%2BYGnA3HMECAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAk9mregIAgN%2BuXq9%2BVdVTuCH/fLp9VU8BboIjWAAAACYjYF1BYWGhpkyZoqioKHXo0EFvvPFGVU8JAAC4EU4RXkFCQoL27t2rlStX6vjx45o0aZJCQ0PVs2fPqp4aAABwAwSsy5w/f17r16/X0qVL1bx5czVv3lzp6elau3YtAQsAAJQLpwgvs3//fhUXFysiIsLZFhkZqbS0NJWWllbhzAAAgLvgCNZlHA6HAgMD5eXl5WyrXbu2CgsLlZeXp9tuu%2B26Y2RnZ8vhcLi02e1%2BCg4ONnWunp7kYwC4mez2qn3fvfS%2Bb7X3fyvWRcC6TH5%2Bvku4kuS8XVRUVK4xkpKSlJiY6NI2duxYxcTEmDPJ/5Wdna0Rt6dryJAhpoe3qpSdna2kpCTL1SVZtzar1iVRmzuyal3SxdpWrlxmudqsWJd1oqJJvL29ywSpS7d9fHzKNcaQIUP07rvvuvwMGTLE9Lk6HA4lJiaWOVrm7qxal2Td2qxal0Rt7siqdUnWrc2KdXEE6zIhISHKzc1VcXGx7PaLD4/D4ZCPj4/8/f3LNUZwcLBlEjgAALhxHMG6TLNmzWS325WamupsS0lJUYsWLeThwcMFAACuj8RwGV9fX/Xt21dTp07V7t27tXnzZr3xxhsaPnx4VU8NAAC4Cc%2BpU6dOrepJVDft2rXTvn37NG/ePH3zzTd64oknNGDAgKqe1hXVqFFDbdq0UY0aNap6Kqayal2SdWuzal0Stbkjq9YlWbc2q9VlMwzDqOpJAAAAWAmnCAEAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwqqmioiL16dNH27dvd7bNmDFDTZo0cflZs2bNVcd488031bFjR0VERGjKlCnKz8%2B/GVO/psvrmjx5cpmamjRpctWvJjp16lSZbdu2bXszSygjKytLsbGxatOmjTp27KjZs2ersLBQknTkyBGNHDlS4eHhuu%2B%2B%2B7R169ZrjpWcnKyuXbsqLCxM0dHR%2Bvnnn29GCVd0rbpSU1P10EMPKSIiQj169ND69euvOVZUVFSZ5%2B3cuXM3o4wrulZt7r7Orlabu6%2B1n376SaNHj1ZERIQ6deqkZcuWOfvceZ1J167Nndfatepy93VWLgaqnYKCAiM6Otpo3LixsW3bNmf7yJEjjcWLFxvZ2dnOn/Pnz19xjI8%2B%2BsiIjIw0/vWvfxlpaWnGfffdZ7z44os3q4QrulJdp0%2Bfdqln165dxj333GN88sknVxzj3//%2Bt9GmTRuXfXJycm5mGS5KS0uNwYMHG4899pjxww8/GDt27DC6detmvPTSS0Zpaalx//33G%2BPGjTMyMjKMRYsWGWFhYcaxY8euOFZaWprRsmVL4x//%2BIfx/fffG4888ogxZsyYm1zRRdeqKzs724iKijLmzZtnHDp0yEhOTjZatGhhbNmy5YpjZWZmGo0bNzYOHz7s8ryVlpbe3KL%2B17VqMwz3XmfXqs2d11pJSYnRvXt3Y9y4ccahQ4eMzz77zGjVqpXx/vvvu/U6M4xr1%2BbOa%2B1adRmGe6%2Bz8iJgVTPp6enGAw88YNx///1lAlbHjh2NL7/8slzjPPzww8aCBQuct3fs2GG0bNnyqi/gynatun5p1KhRxvjx4686zjvvvGMMGTKksqZ5wzIyMozGjRsbDofD2fbBBx8YHTp0ML7%2B%2BmsjPDzcOHfunLNvxIgRLs/LL02YMMGYNGmS8/bx48eNJk2aGIcPH668Aq7iWnWtW7fO6Nmzp8v2zz33nPHMM89ccayvvvrKaN%2B%2BfaXO90ZcqzbDcO91dr3afsmd1lpWVpbx//7f/zPOnDnjbIuOjjZeeOEFt15nhnHt2tx5rV2rLsNw73VWXpwirGa%2B/fZbtW3bVklJSS7tZ8%2BeVVZWlurXr3/dMUpKSrRnzx5FRUU528LDw3XhwgXt37/f7CmXy9Xq%2BqVvvvlGO3bs0DPPPHPVbTIyMsr1GNwsQUFBWrZsmWrXru3SfvbsWaWlpenuu%2B%2BWn5%2Bfsz0yMlKpqalXHCstLc3lOatTp45CQ0OVlpZWOZO/hmvVdem00%2BXOnj17xbEyMjLUoEGDSplnRVyrNndfZ9eq7Zfcba0FBwfr1VdfVc2aNWUYhlJSUrRjxw61adPGrdeZdO3a3HmtXasud19n5WWv6gnA1cMPP3zF9gMHDshms2nRokX64osvFBAQoEcffVT9%2BvUrs%2B3p06dVWFio4OBgZ5vdbldAQIAyMzMrbe7XcrW6fmnJkiXq16%2Bf6tSpc9VtDhw4oOLiYg0cOFBZWVmKiopSXFycS603k7%2B/vzp27Oi8XVpaqjVr1qhdu3ZyOBxl5lWrVq2rPgfZ2dk3tH1lulZddevWVd26dZ19J0%2Be1IcffqiYmJgrjnXgwAHl5%2Bdr2LBhOnTokJo1a6YpU6ZU2f8IrlWbu6%2Bza9X2S%2B641i7p0qWLjh8/rs6dO6tHjx6aNWuW266zy11em6enp1uvtUsur2vv3r1uvc7KiyNYbuLgwYOy2Wxq2LChlixZokGDBum5557TJ598UmbbgoICSZKXl5dLu5eXl4qKim7KfG/UkSNHtG3bNg0bNuya2x08eFBnz55VXFycXnnlFWVnZ%2BuJJ55QSUnJTZrptc2ZM0f79u3TX//6V%2BXn59/Qc1BQUFBtn7Nf1vVLBQUFiomJUe3atTVkyJAr7nvw4EGdOnVKTz75pF577TX5%2BPho5MiRV/1X%2BM32y9qsts6u9Ly5%2B1pbsGCBFi1apO%2B//16zZ8%2B21Dq7vLZfcue1dnldVltnV8MRLDfRt29fde7cWQEBAZKkpk2b6scff9Rbb72lbt26uWzr7e0tSWVefEVFRfL19b05E75BH3/8sZo1a6Y777zzmtt9%2BOGHstls8vHxkXRx4Xbo0EFpaWlq1arVzZjqVc2ZM0crV67UK6%2B8osaNG8vb21t5eXku2xQVFTnnfjlvb%2B9q%2BZxdXtcl586d01NPPaUff/xR69atu%2Bo8ly9frgsXLqhGjRqSpLlz5%2BpPf/qTtmzZovvvv/%2Bm1HA1l9d21113WWadXe15c/e11qJFC0lSYWGhxo8frwEDBpT5izJ3XGdS2domTpwoLy8vt19rl9e1c%2BdOy6yza%2BEIlpuw2WzOF%2BMlDRs2VFZWVpltAwIC5O3trZycHGdbcXGx8vLyFBQUVOlzrYgvv/xSf/7zn6%2B7na%2Bvr8sbZ61atRQQEHDFx%2BFmmj59ulasWKE5c%2BaoR48ekqSQkBCX50CScnJyrnqK5WrbV%2BVzdqW6pIvXgIwePVrp6elauXLlNa%2Bl8PLycr7hSxffMOvWrVstnzOrrLOrPW%2BSe661nJwcbd682aXtzjvv1IULFxQUFOTW6%2BxatV26LtAd19r16rLCOrseApabmD9/vkaOHOnStn//fjVs2LDMth4eHmrRooVSUlKcbampqbLb7WratGllT/WGGYahPXv2XPdfxWfPnlXr1q21bds2Z1tWVpZyc3Ov%2BDjcLImJiXr77bf18ssvq3fv3s72sLAwfffdd85D3JKUkpKisLCwK44TFhbm8pydOHFCJ06cuOr2le1qdZWWlmrs2LE6evSoVq9erbvuuuuqYxiGoa5du%2Brdd991tp0/f14//fRTtXzOrLDOrlab5L5r7ejRoxo7dqzL/4D37t2r2267TZGRkW69zq5VW0BAgNuutWvVtXr1ardfZ%2BVShX/BiOv45ccZpKWlGXfffbexbNky46effjLWrl1r3HPPPcbOnTsNwzCM/Px8Izs727lvcnKy0apVK%2BOTTz4x0tLSjN69exvTp0%2Bvkjoud/nHNBw5csRo3Lixy/wvubyuxx9/3HjggQeMtLQ0Y%2B/evcbQoUONxx577KbM%2B0oyMjKMZs2aGa%2B88orL57lkZ2cbxcXFxn333Wc8/fTTxg8//GAsXrzYCA8Pd34%2BT2FhoXM7wzCMnTt3Gs2bNzfeeecd5%2BfzPP7449WurqSkJKNp06bGli1bXFoN8GMAAAHSSURBVNpzc3OvWNf06dONTp06Gdu2bTN%2B%2BOEHIzo62ujTp4%2BzvzrV5u7r7Fq1GYb7rrXi4mKjf//%2BxqhRo4z09HTjs88%2BM/74xz8ab775pluvs%2BvV5s5r7Vp1ufs6Ky8CVjV2eRD55JNPjPvvv99o0aKF0bNnT%2BPjjz929m3YsMFo3Lixy/6LFy82/vCHPxiRkZFGXFycUVBQcNPmfi2X15Wammo0btzYKCwsLLPt5XXl5eUZkydPNtq2bWtEREQY48ePN/Ly8m7KvK9k8eLFRuPGja/4Y/z/du4YRWEwDAIoe5lUgmKbwgPkCFrZWOQgHsFTeIyAxxAEsbK2m63WylWLj5Us75U/pBjCwPATkuR4PGa5XGYymaTrugzDcH/2cDikaZqcTqf72X6/z2KxyGw2S9/3uV6vf54peZ5rvV4/PF%2BtVg9z3W63bLfbtG2b6XSazWaT8/n8kVyvsiXj7tmrbGPu2uVySd/3mc/nads2u93u/gPNsfbsx2/Zxt61Z%2B9szD1711eSfPoWDQDgP/ENFgBAMQMLAKCYgQUAUMzAAgAoZmABABQzsAAAihlYAADFDCwAgGIGFgBAMQMLAKCYgQUAUMzAAgAoZmABABT7BiyIVDlB65P3AAAAAElFTkSuQmCC"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common-8834683734394835990">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">19.0</td>
<td class="number">102601</td>
<td class="number">18.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">20.0</td>
<td class="number">79897</td>
<td class="number">14.0%</td>
<td>
<div class="bar" style="width:78%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">21.0</td>
<td class="number">72398</td>
<td class="number">12.7%</td>
<td>
<div class="bar" style="width:70%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">22.0</td>
<td class="number">66511</td>
<td class="number">11.7%</td>
<td>
<div class="bar" style="width:65%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">24.0</td>
<td class="number">64130</td>
<td class="number">11.2%</td>
<td>
<div class="bar" style="width:62%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">18.0</td>
<td class="number">57111</td>
<td class="number">10.0%</td>
<td>
<div class="bar" style="width:56%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">23.0</td>
<td class="number">50627</td>
<td class="number">8.9%</td>
<td>
<div class="bar" style="width:49%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">26.0</td>
<td class="number">18403</td>
<td class="number">3.2%</td>
<td>
<div class="bar" style="width:18%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">25.0</td>
<td class="number">10048</td>
<td class="number">1.8%</td>
<td>
<div class="bar" style="width:10%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">16.0</td>
<td class="number">8957</td>
<td class="number">1.6%</td>
<td>
<div class="bar" style="width:9%">&nbsp;</div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (11)</td>
<td class="number">38185</td>
<td class="number">6.7%</td>
<td>
<div class="bar" style="width:37%">&nbsp;</div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme-8834683734394835990">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">15.0</td>
<td class="number">6860</td>
<td class="number">1.2%</td>
<td>
<div class="bar" style="width:12%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">15.5</td>
<td class="number">4675</td>
<td class="number">0.8%</td>
<td>
<div class="bar" style="width:9%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">16.0</td>
<td class="number">8957</td>
<td class="number">1.6%</td>
<td>
<div class="bar" style="width:16%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">17.0</td>
<td class="number">6866</td>
<td class="number">1.2%</td>
<td>
<div class="bar" style="width:12%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">18.0</td>
<td class="number">57111</td>
<td class="number">10.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">27.5</td>
<td class="number">2831</td>
<td class="number">0.5%</td>
<td>
<div class="bar" style="width:35%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">28.0</td>
<td class="number">8061</td>
<td class="number">1.4%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">29.0</td>
<td class="number">1314</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:17%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">30.0</td>
<td class="number">3004</td>
<td class="number">0.5%</td>
<td>
<div class="bar" style="width:37%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">35.0</td>
<td class="number">95</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:2%">&nbsp;</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4">LIC88006.PV<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>344121</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>60.5%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.3%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1432</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>59.19</td>
</tr>
<tr>
<th>Minimum</th>
<td>0.10029</td>
</tr>
<tr>
<th>Maximum</th>
<td>100.13</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-4124203349676505085">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAASJJREFUeJzt3MEJwkAQQFEVS7IIe/JsTxZhT2sD8tFAyGreuwc2h88sgclxjDEOwFunrQ8AMztvfQD%2B1%2BX2%2BPqZ5/26wkmWM0EgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCDYB1nRP%2BxD7J0JAkEgEAQCQSAQBAJBIBB85v3Cks%2B2/DYTBIJAIOz2iuW6xCdMEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAI020U7v1/tnt//9mYIBCmmyBL2C9nLccxxtj6EDArVywIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIL%2BlRGM5zjP89AAAAAElFTkSuQmCC">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives-4124203349676505085,#minihistogram-4124203349676505085"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives-4124203349676505085">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles-4124203349676505085"
aria-controls="quantiles-4124203349676505085" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram-4124203349676505085" aria-controls="histogram-4124203349676505085"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common-4124203349676505085" aria-controls="common-4124203349676505085"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme-4124203349676505085" aria-controls="extreme-4124203349676505085"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles-4124203349676505085">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>0.10029</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>23.211</td>
</tr>
<tr>
<th>Q1</th>
<td>34.132</td>
</tr>
<tr>
<th>Median</th>
<td>45.527</td>
</tr>
<tr>
<th>Q3</th>
<td>99.867</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>99.867</td>
</tr>
<tr>
<th>Maximum</th>
<td>100.13</td>
</tr>
<tr>
<th>Range</th>
<td>100.03</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>65.735</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>31.758</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.53654</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>-1.52</td>
</tr>
<tr>
<th>Mean</th>
<td>59.19</td>
</tr>
<tr>
<th>MAD</th>
<td>29.349</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>0.3299</td>
</tr>
<tr>
<th>Sum</th>
<td>33671000</td>
</tr>
<tr>
<th>Variance</th>
<td>1008.6</td>
</tr>
<tr>
<th>Memory size</th>
<td>4.4 MiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram-4124203349676505085">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzs3XtclHX%2B//8nMAGDRBKnJP1U2nqIFBBCd8VW2TQ0t8zj2pZatrbJ4ddmHpA2NU%2BFWmpYialpWpLZZrlufbKbn8pSKwzQXAu1LVKBwSBPwAjM9w9/XtuEBeI1wtDjfrtxs3m/53rPa163menJdV1c4%2BFwOBwCAACAaTybugAAAICWhoAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAySxNXcCvhc12wtT1PD09dOWVrfT996dUW%2BswdW3QX1eit65Db12H3rqWK/sbEnK5qes1FHuw3JSnp4c8PDzk6enR1KW0SPTXdeit69Bb16G3rtUS%2B0vAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMJmlqQsAAACuMWDRR01dQoN9NiexqUswFXuwAAAATNZkAau4uFipqamKi4tT7969NW/ePFVVVUmSCgsLNXbsWEVFRWngwIHavn2707Yff/yxBg0apMjISI0ePVqFhYVO8y%2B%2B%2BKJ69%2B6t6OhoTZs2TRUVFcZcVVWVpk2bptjYWMXHx2vlypVO29b32AAAAPVpkoDlcDiUmpqqiooKrVu3Tk8//bS2bdumRYsWyeFwKCkpScHBwdq4caPuuOMOJScn68iRI5KkI0eOKCkpSUOGDNFrr72mK6%2B8UhMmTJDD4ZAkvfPOO8rMzNTjjz%2Bu1atXKy8vT/PnzzceOyMjQ3v37tXq1as1ffp0ZWZm6u233zbq%2BqXHBgAAaIgmOQfr0KFDys3N1UcffaTg4GBJUmpqqp588kndfPPNKiws1Pr16%2BXn56cOHTpox44d2rhxo1JSUrRhwwbdeOONuu%2B%2B%2ByRJ8%2BbNU69evfTJJ5%2BoR48eWrNmjcaMGaO%2BfftKkmbOnKlx48Zp0qRJcjgc2rBhg5YvX66IiAhFRESooKBA69atU2Jionbu3PmLjw0AANAQTbIHKyQkRC%2B88IIRrs45efKk8vLydMMNN8jPz88Yj4mJUW5uriQpLy9PsbGxxpzValVERIRyc3NVU1OjPXv2OM1HRUXpzJkz2r9/v/bv36/q6mpFR0c7rZ2Xl6fa2tp6HxsAAKAhmmQPVkBAgHr37m3crq2t1dq1a9WzZ0/ZbDaFhoY63T8oKEhFRUWS9Ivzx48fV1VVldO8xWJR69atVVRUJE9PTwUGBsrb29uYDw4OVlVVlcrLy%2Bt9bAAAgIZoFpdpmD9/vvbt26fXXntNL774olMAkiRvb2/Z7XZJUkVFxc/OV1ZWGrfPN%2B9wOM47J0l2u/0X174QJSUlstlsTmMWi1%2Bd8HYxvLw8nf6Fueiv69Bb16G3rkNvL42W1N8mD1jz58/X6tWr9fTTT6tjx47y8fFReXm5033sdrt8fX0lST4%2BPnUCj91uV0BAgHx8fIzbP523Wq2qqak575wk%2Bfr61vvYDZWdna3MzEynsaSkJKWmpl7QOg0REGA1fU38F/11HXrrOvTWdeita7Wk/jZpwJo1a5ZeeeUVzZ8/X7feeqskKSwsTAcOHHC6X2lpqbH3JywsTKWlpXXmu3TpotatW8vHx0elpaXq0KGDJKm6ulrl5eUKCQmRw%2BFQWVmZqqurZbGcfeo2m02%2Bvr4KCAio97EbauTIkUpISHAas1j8VFZ26oLW%2BSVeXp4KCLDq%2BPEK1dTUmrYuzqK/rkNvXYfeug69vTRc0d/AwFamrtdQTRawMjMztX79ej311FNKTPzv1VsjIyOVlZWlyspKY89RTk6OYmJijPmcnBzj/hUVFdq3b5%2BSk5Pl6emprl27KicnRz169JAk5ebmymKxqHPnzpLOnpOVm5trnAifk5Ojrl27ytPTs97HbqjQ0NA6ocxmO6HqavPflDU1tS5ZF2fRX9eht65Db12H3rpWS%2BpvkxzsPHjwoJ599ln95S9/UUxMjGw2m/ETFxenNm3aKC0tTQUFBcrKylJ%2Bfr6GDRsmSRo6dKh2796trKwsFRQUKC0tTW3btjUC1V133aUVK1Zo69atys/P14wZMzRixAhZrVZZrVYNHjxYM2bMUH5%2BvrZu3aqVK1dq9OjRklTvYwMAADSEh%2BPcFTovoaysLC1cuPC8c19%2B%2BaW%2B%2BeYbpaenKy8vT9dcc42mTZum3/3ud8Z93n//fc2dO1dFRUWKjo7WrFmz1K5dO6f1X3zxRdntdvXv31/Tp083zs%2BqqKjQjBkz9L//%2B7/y9/fXuHHjNHbsWGPb%2Bh67sWy2Exe9xo9ZLJ4KDGylsrJTLSbtNyf013XorevQW9dx196623cRuqK/ISGXm7peQzVJwPo1ImC5F/rrOvTWdeit67hrbwlYTRewWs7fQwIAADQTBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkzSJg2e12DRo0SLt27ZIkTZ06VZ06darzM3r0aGOb2NjYOvOnTp2SJFVVVWnatGmKjY1VfHy8Vq5c6fR4hYWFGjt2rKKiojRw4EBt377daf7jjz/WoEGDFBkZqdGjR6uwsNDFHQAAAC2JpakLqKqq0sSJE1VQUGCMpaena%2BLEicbtw4cP65577jECVnFxsU6cOKGtW7fK19fXuJ%2Bfn58kKSMjQ3v37tXq1at15MgRTZkyReHh4UpMTJTD4VBSUpI6duyojRs3auvWrUpOTtaWLVsUHh6uI0eOKCkpSSkpKerdu7eWLl2qCRMm6M0335SHh8cl6goAAHBnTRqwDhw4oIkTJ8rhcDiNX3755br88suN21OnTlViYqJuueUWSdLBgwcVEhKidu3a1Vnz9OnT2rBhg5YvX66IiAhFRESooKBA69atU2Jionbu3KnCwkKtX79efn5%2B6tChg3bs2KGNGzcqJSVFGzZs0I033qj77rtPkjRv3jz16tVLn3zyiXr06OHCbgAAgJaiSQ8Rngst2dnZP3ufHTt26NNPP9XDDz9sjB04cEDXXXfdee%2B/f/9%2BVVdXKzo62hiLiYlRXl6eamtrlZeXpxtuuMHY23VuPjc3V5KUl5en2NhYY85qtSoiIsKYBwAAqE%2BT7sG666676r1PVlaW7rzzTrVp08YYO3jwoCoqKnTPPffo66%2B/VpcuXTRt2jRdd911stlsCgwMlLe3t3H/4OBgVVVVqby8XDabTaGhoU6PERQUpKKiIkmqdx4AAKA%2BTX4O1i8pLCzUzp07lZ6e7jR%2B6NAh/fDDD3r44Yfl7%2B%2Bv5cuXa%2BzYsfrnP/%2BpiooKp3Alybhtt9t/dt5ut0tSvfMNUVJSIpvN5jRmsfjVCW4Xw8vL0%2BlfmIv%2Bug69dR166zr09tJoSf1t1gHrnXfeUZcuXXT99dc7ja9YsUJnzpxRq1atJEkLFizQ73//e23btk0%2BPj51wtC5276%2BvvLx8VF5eXmd%2BXMny//c9gEBAQ2uOzs7W5mZmU5jSUlJSk1NbfAaDRUQYDV9TfwX/XUdeus69NZ16K1rtaT%2BNuuA9eGHH%2BoPf/hDnXFvb2%2BnvUw%2BPj5q27atiouL1b17d5WVlam6uloWy9mnZ7PZ5Ovrq4CAAIWFhenAgQNO65WWlhp7l8LCwlRaWlpnvkuXLg2ue%2BTIkUpISHAas1j8VFZ2qsFr1MfLy1MBAVYdP16hmppa09bFWfTXdeit69Bb16G3l4Yr%2BhsY2MrU9Rqq2QYsh8OhPXv26K9//Wud8X79%2BmnChAkaMmSIpLN/OfjNN9%2Boffv26tKliywWi3Jzc42T1XNyctS1a1d5enoqMjJSWVlZqqysNPZa5eTkKCYmRpIUGRmpnJwc4/EqKiq0b98%2BJScnN7j20NDQOocDbbYTqq42/01ZU1PrknVxFv11HXrrOvTWdeita7Wk/jbbg52HDx/WqVOn6hwe9PDwUJ8%2BffTMM89o165dKigo0OTJk3XVVVfp97//vaxWqwYPHqwZM2YoPz9fW7du1cqVK41raMXFxalNmzZKS0tTQUGBsrKylJ%2Bfr2HDhkmShg4dqt27dysrK0sFBQVKS0tT27ZtuUQDAABosGYbsI4dOyZJuuKKK%2BrMTZo0SbfeeqsmTpyo4cOHq7q6WllZWfLy8pIkpaWlKSIiQmPGjNHMmTOVkpKi/v37S5K8vLz07LPPymazaciQIXrzzTe1dOlShYeHS5Latm2rZ555Rhs3btSwYcNUXl6upUuXcpFRAADQYB6On17lEy5hs50wdT2LxVOBga1UVnaqxexObU7or%2BvQW9eht67jrr0dsOijpi6hwT6bk%2BiS/oaEXF7/nVyg2e7BAgAAcFcELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJM1i4Blt9s1aNAg7dq1yxibPXu2OnXq5PSzdu1aY37z5s265ZZbFBkZqaSkJH3//ffGnMPh0IIFC9SzZ0/FxcUpIyNDtbW1xnxZWZlSUlIUHR2thIQEbdq0yameffv2afjw4YqMjNTQoUO1d%2B9eFz57AADQ0jR5wKqqqtLDDz%2BsgoICp/GDBw9q4sSJ2r59u/EzdOhQSVJ%2Bfr7S09OVnJys7OxsHT9%2BXGlpaca2q1at0ubNm5WZmaklS5borbfe0qpVq4z5tLQ0nThxQtnZ2XrwwQf16KOPKj8/X5J0%2BvRpjR8/XrGxsXr99dcVHR2tBx54QKdPn74E3QAAAC1BkwasAwcOaMSIEfr222/rzB08eFA33HCDQkJCjB%2Br1SpJWrt2rQYMGKDBgwerc%2BfOysjI0Pvvv6/CwkJJ0po1a5SamqrY2Fj17NlTjzzyiNatWydJ%2Bvbbb7Vt2zbNnj1bHTt21PDhw3X77bfr5ZdfliRt2bJFPj4%2Bmjx5sjp06KD09HS1atVKb7/99iXqCgAAcHdNGrA%2B%2BeQT9ejRQ9nZ2U7jJ0%2BeVHFxsa699trzbpeXl6fY2Fjjdps2bRQeHq68vDwVFxfr6NGjuummm4z5mJgYHT58WCUlJcrLy1ObNm3Utm1bp/nPP//cWDsmJkYeHh6SJA8PD3Xv3l25ublmPW0AANDCWZrywe%2B6667zjh88eFAeHh56/vnn9cEHH6h169a69957deedd0qSSkpKFBoa6rRNUFCQioqKZLPZJMlpPjg4WJKM%2BfNtW1xcLEmy2Wy6/vrr68z/9BDmLykpKTHqOMdi8avzuBfDy8vT6V%2BYi/66Dr11HXrrOvT20mhJ/W3SgPVzDh06JA8PD7Vv31533323Pv30U/3973%2BXv7%2B/%2BvXrp8rKSnl7eztt4%2B3tLbvdrsrKSuP2j%2BeksyfTV1RU/Oy2kuqdb4js7GxlZmY6jSUlJSk1NbXBazRUQIDV9DXxX/TXdeit69Bb16G3rtWS%2BtssA9bgwYPVt29ftW7dWpLUuXNn/ec//9Err7yifv36ycfHp07gsdvtslqtTmHKx8fH%2BG9JslqtP7utr6%2BvJNU73xAjR45UQkKC05jF4qeyslMNXqM%2BXl6eCgiw6vjxCtXU1Na/AS4I/XUdeus69NZ16O2l4Yr%2BBga2MnW9hmqWAcvDw8MIV%2Be0b99eO3fulCSFhYWptLTUab60tFQhISEKCwuTdPZQ37nzrM4drjs3/3Pb/tLaF3J4LzQ0tM79bbYTqq42/01ZU1PrknVxFv11HXrrOvTWdeita7Wk/jbLg52LFy/W2LFjncb279%2Bv9u3bS5IiIyOVk5NjzB09elRHjx5VZGSkwsLCFB4e7jSfk5Oj8PBwhYaGKioqSocPH1ZRUZHTfFRUlLH2559/LofDIensNbV2796tyMhIVz1dAADQwjTLgNW3b199%2BumnWrFihb799lu9/PLLeuONN3TfffdJkkaNGqVNmzZpw4YN2r9/vyZPnqw%2BffqoXbt2xvyCBQu0a9cu7dq1SwsXLtTo0aMlSe3atVN8fLwmTZqk/fv3a8OGDdq8ebP%2B/Oc/S5ISExN1/PhxzZkzRwcOHNCcOXNUUVGhAQMGNE0zAACA22mWhwi7deumxYsXa8mSJVq8eLGuvvpqLVy4UNHR0ZKk6OhoPf7441qyZIl%2B%2BOEH9erVS7NmzTK2HzdunI4dO6bk5GR5eXlp2LBhTnvEMjIylJ6erhEjRigkJERz585Vt27dJEn%2B/v5atmyZpk%2BfrldffVWdOnVSVlaW/Pz8LmkPAACA%2B/JwnDsWBpey2U6Yup7F4qnAwFYqKzvVYo5XNyf013XorevQW9dx194OWPRRU5fQYJ/NSXRJf0NCLjd1vYZqlocIAQAA3BkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMJmlqQsA8OsTm/52U5dwQf71UK%2BmLgGAm2EPFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyRoVsIYPH67169frxIkTZtcDAADg9hoVsHr27Knnn39e8fHxevjhh7V9%2B3Y5HA6zawMAAHBLjQpYEydO1LZt2/Tss8/Ky8tLKSkp6tOnj55%2B%2Bml9/fXXF7ye3W7XoEGDtGvXLmMsNzdXf/rTnxQdHa1bb71VGzZscNrm9ttvV6dOnZx%2BvvrqK0mSw%2BHQggUL1LNnT8XFxSkjI0O1tbXGtmVlZUpJSVF0dLQSEhK0adMmp7X37dun4cOHKzIyUkOHDtXevXsv%2BDkBAIBfr0Z/2bOHh4d69eqlXr16qaKiQi%2B99JKeffZZZWVlqXv37hozZoz69%2B9f7zpVVVWaOHGiCgoKjDGbzaa//OUvGjVqlJ544gl98cUXSktLU0hIiPr06aOamhr95z//0dq1a3Xttdca2wUGBkqSVq1apc2bNyszM1PV1dWaNGmSgoKCNG7cOElSWlqaKisrlZ2drby8PD366KO67rrr1K1bN50%2BfVrjx4/XH//4Rz3xxBN65ZVX9MADD%2Bjdd9%2BVn59fY9sFAAB%2BRRodsCSppKREb775pt5880199dVX6t69u%2B68804VFRXp0Ucf1aeffqr09PSf3f7AgQOaOHFincOLW7duVXBwsB5%2B%2BGFJ0rXXXqtdu3bprbfeUp8%2BffTdd9/pzJkz6tatm3x8fOqsu2bNGqWmpio2NlaS9Mgjj2jx4sUaN26cvv32W23btk3vvfee2rZtq44dOyo3N1cvv/yyunXrpi1btsjHx0eTJ0%2BWh4eH0tPT9cEHH%2Bjtt9/WkCFDLqZdAADgV6JRAWvTpk3atGmTdu3apSuvvFKDBw/WkiVLnPYmtWnTRnPmzPnFgPXJJ5%2BoR48e%2Btvf/qaoqChjvHfv3urSpUud%2B588eVLS2WDWpk2b84ar4uJiHT16VDfddJMxFhMTo8OHD6ukpER5eXlq06aN2rZt6zS/bNkySVJeXp5iYmLk4eEh6eyeuu7duys3N5eABQAAGqRRASs9PV19%2B/bV0qVLdfPNN8vTs%2B6pXO3bt9fdd9/9i%2Bvcdddd5x1v27atUwA6duyY/vnPfyolJUWSdPDgQV122WV64IEHtHfvXl133XWaPHmyunXrJpvNJkkKDQ01tg8ODpYkFRUVyWazOc1JUlBQkIqLiyWdPTx5/fXX15n/8SHM%2BpSUlBh1nGOx%2BNV53Ivh5eXp9C/MRX9dxx17arG4R828bl2H3l4aLam/jQpYH3zwgQIDA1VeXm6Eq/z8fEVERMjLy0uS1L17d3Xv3v2iC6ysrFRKSoqCg4M1cuRISdLXX3%2BtH374QcOHD1dqaqpeffVVjRkzRlu2bFFlZaUkydvb21jj3H/b7XZVVFQ4zZ2bt9vtklTvfENkZ2crMzPTaSwpKUmpqakNXqOhAgKspq%2BJ/6K/kKTAwFZNXcIF4XXrOvTWtVpSfxsVsE6ePKlRo0bpD3/4gyZPnixJGj9%2BvIKDg7V8%2BXK1adPGlOJOnTqlCRMm6D//%2BY9efvllWa1nGz9r1ixVVlbK399fkjRjxgzt3r1bmzZt0u9%2B9ztJZ8PUuUOI58KR1WqVj49PnbBkt9vl6%2BsrSfXON8TIkSOVkJDgNGax%2BKms7FSD16iPl5enAgKsOn68QjU1tfVvgAtCf13HHX9DNfO960q8bl2H3l4aruhvU/2C1KiANXfuXF1zzTW69957jbEtW7ZoypQpmjdvnpYsWXLRhZ08eVL333%2B/vv32W61evdrp/C6LxWKEK%2BnseVLt27dXcXGxwsLCJJ091HfuMOO5w3UhISEKCwtTaWmp02OVlpYqJCREkn52/kIO74WGhta5v812QtXV5r8pa2pqXbIuzqK/kOR2rwFet65Db12rJfW3Ub9KfvbZZ5o6daoRSiTpyiuv1OTJk7Vz586LLqq2tlbJycn67rvv9NJLL%2Bk3v/mN0/w999zjdAiutrZWX375pdq3b6%2BwsDCFh4crJyfHmM/JyVF4eLhCQ0MVFRWlw4cPq6ioyGn%2B3En2kZGR%2Bvzzz42/bHQ4HNq9e7ciIyMv%2BnkBAIBfh0btwbJYLDp%2B/Hid8YqKClOu6P7aa69p165deu655xQQEGDsgbrsssvUunVrJSQkaOnSperSpYuuu%2B46rVmzRidOnNCdd94pSRo1apQWLFigq666SpK0cOFC3XfffZKkdu3aKT4%2BXpMmTVJ6err27NmjzZs3a%2B3atZKkxMRELVy4UHPmzNGf/vQnrV%2B/XhUVFRowYMBFPy8AAPDr0KiAdfPNN2v27Nl66qmn9D//8z%2BSpMLCQs2bN0%2B9e/e%2B6KLeeecd1dbW6oEHHnAaj4uL00svvaSxY8eqqqpKs2fPVmlpqSIjI7Vq1SrjsOG4ceN07NgxJScny8vLS8OGDdPYsWONdTIyMpSenq4RI0YoJCREc%2BfOVbdu3SRJ/v7%2BWrZsmaZPn65XX31VnTp1UlZWFhcZBQAADebhaMQup2PHjunee%2B9VQUGBAgICJEnHjx9XRESEnnvuOadDhzjLZjP3i7EtFk8FBrZSWdmpFnO8ujmhv65jsXiq34IPm7qMC/Kvh3o1dQkNwuvWddy1twMWfdTUJTTYZ3MSXdLfkJDLTV2voRq1BysoKEj/%2BMc/9PHHH6ugoEAWi0XXX3%2B9fvvb3xoX6AQAAPi1avRX5Xh5eal3796mHBIEAABoSRoVsGw2mxYtWqTdu3frzJkzdU5sf%2B%2B990wpDgAAwB01KmD9/e9/1969e3Xbbbfp8sub5tgmAABAc9WogLVz50698MILio2NNbseAAAAt9eoC436%2BfkpKCjI7FoAAABahEYFrDvuuEMvvPCCampqzK4HAADA7TXqEGF5ebk2b96s//u//1O7du3k7e3tNL9mzRpTigMAAHBHjb5Mw6BBg8ysAwAAoMVoVMCaN2%2Be2XUAAAC0GI06B0uSSkpKlJmZqYkTJ%2BrYsWN6%2B%2B23dejQITNrAwAAcEuNCljffPON/vjHP%2Bof//iH3nnnHZ0%2BfVpbtmzR0KFDlZeXZ3aNAAAAbqVRAeuJJ57QLbfcoq1bt%2Bqyyy6TJD311FNKSEjQggULTC0QAADA3TQqYO3evVv33nuv0xc7WywWTZgwQfv27TOtOAAAAHfUqIBVW1ur2traOuOnTp2Sl5fXRRcFAADgzhoVsOLj47Vs2TKnkFVeXq758%2BerZ8%2BephUHAADgjhoVsKZOnaq9e/cqPj5eVVVVevDBB9W3b1999913mjJlitk1AgAAuJVGXQcrLCxMb7zxhjZv3qx///vfqq2t1ahRo3THHXfI39/f7BoBAADcSqOv5G61WjV8%2BHAzawEAAGgRGhWwRo8e/YvzfBchAAD4NWtUwLr66qudbldXV%2Bubb77RV199pTFjxphSGIALM2DRR01dAgDg/2fqdxEuXbpURUVFF1UQAACAu2v0dxGezx133KF//etfZi4JAADgdkwNWJ9//jkXGgUAAL96pp3kfvLkSX355Ze66667LrooAAAAd9aoPVjh4eG6%2BuqrnX5uvPFGzZo164IvNGq32zVo0CDt2rXLGCssLNTYsWMVFRWlgQMHavv27U7bfPzxxxo0aJAiIyM1evRoFRYWOs2/%2BOKL6t27t6KjozVt2jRVVFQYc1VVVZo2bZpiY2MVHx%2BvlStXOm1b32MDAADUp1F7sJ544glTHryqqkoTJ05UQUGBMeZwOJSUlKSOHTtq48aN2rp1q5KTk7VlyxaFh4fryJEjSkpKUkpKinr37q2lS5dqwoQJevPNN%2BXh4aF33nlHmZmZmj9/voKCgpSWlqb58%2BfrsccekyRlZGRo7969Wr16tY4cOaIpU6YoPDxciYmJ9T42AABAQzQqYH366acNvu9NN9103vEDBw5o4sSJcjgcTuM7d%2B5UYWGh1q9fLz8/P3Wpxq97AAAgAElEQVTo0EE7duzQxo0blZKSog0bNujGG2/UfffdJ%2BnsXzT26tVLn3zyiXr06KE1a9ZozJgx6tu3ryRp5syZGjdunCZNmiSHw6ENGzZo%2BfLlioiIUEREhAoKCrRu3TolJibW%2B9gAAAAN0aiAdc8998jDw0OSnALST8c8PDz073//%2B7xrnAtEf/vb3xQVFWWM5%2BXl6YYbbpCfn58xFhMTo9zcXGM%2BNjbWmLNarYqIiFBubq5iY2O1Z88eJScnG/NRUVE6c%2BaM9u/fL4fDoerqakVHRzut/fzzz6u2trbexwYAAGiIRgWs559/XrNnz9akSZMUFxcnb29v7dmzR48//rjuvPNODRw4sN41fu5keJvNptDQUKexoKAg4/pavzR//PhxVVVVOc1bLBa1bt1aRUVF8vT0VGBgoLy9vY354OBgVVVVqby8vN7HbqiSkhLZbDanMYvFr87aF8PLy9PpX5iL/uLHLBb3eB3wunUdentptKT%2BNvpCo4899phuvvlmY6xnz556/PHHNXnyZP3lL39pdEEVFRVOAUiSvL29Zbfb652vrKw0bp9v3uFwnHdOOnuyfX2P3VDZ2dnKzMx0GktKSlJqauoFrdMQAQFW09fEf9FfSFJgYKumLuGC8Lp1HXrrWi2pv40KWCUlJXW%2BLkeS/P39VVZWdlEF%2Bfj4qLy83GnMbrfL19fXmP9p4LHb7QoICJCPj49x%2B6fzVqtVNTU1552TJF9f33ofu6FGjhyphIQEpzGLxU9lZacuaJ1f4uXlqYAAq44fr1BNTa1p6%2BIs%2BosfM/O960q8bl2H3l4aruhvU/2C1KiAFRUVpaeeekpPPvmk/P39JUnl5eWaP3%2B%2Bfvvb315UQWFhYTpw4IDTWGlpqXF4LSwsTKWlpXXmu3TpotatW8vHx0elpaXq0KGDpLPfk1heXq6QkBA5HA6VlZWpurpaFsvZp26z2eTr66uAgIB6H7uhQkND62xjs51QdbX5b8qamlqXrIuz6C8kud1rgNet69Bb12pJ/W3Uwc5HH31Uubm5uvnmmzVkyBDdeeed6tu3rwoLC43LITRWZGSkvvjiC%2BNwnyTl5OQoMjLSmM/JyTHmKioqtG/fPkVGRsrT01Ndu3Z1ms/NzZXFYlHnzp3VpUsXWSwWp5PWc3Jy1LVrV3l6etb72AAAAA3RqIDVoUMHbdmyRRMnTlRUVJSio6OVnp6uTZs26aqrrrqoguLi4tSmTRulpaWpoKBAWVlZys/P17BhwyRJQ4cO1e7du5WVlaWCggKlpaWpbdu26tGjh6SzJ8%2BvWLFCW7duVX5%2BvmbMmKERI0bIarXKarVq8ODBmjFjhvLz87V161atXLnSuDJ9fY8NAADQEI06RChJV1xxhYYPH67vvvtO7dq1kyRddtllF12Ql5eXnn32WaWnp2vIkCG65pprtHTpUuNCn23bttUzzzyjuXPnaunSpYqOjtbSpUuNS0TcdtttOnz4sB577DHZ7Xb1799fkyZNMtZPS0vTjBkzNGbMGPn7%2ByslJUX9%2B/dv0GMDAAA0hIfjp1f6bACHw6GFCxfqpZde0pkzZ/TOO%2B/o6aefltVq1YwZM0wJWi2NzXbC1PUsFk8FBrZSWdmpFnO8ujlxx/4OWPRRU5fQYv3roV5NXUKDuOPr1l24a2/d6XPhszmJLulvSMjlpq7XUI06RPjSSy9p06ZNmj59unFZg1tuuUVbt26tc3kCAACAX5tGBazs7Gw99thjGjJkiHFobuDAgZo9e7beeustUwsEAABwN40KWN999526dOlSZ7xz5851rmAOAADwa9OogHX11Vdrz549dcY/%2BOAD44R3AACAX6tG/RXhuHHjNHPmTNlsNjkcDu3YsUPZ2dl66aWXNHXqVLNrBAAAcCuNClhDhw5VdXW1nnvuOVVWVuqxxx7TlVdeqYceekijRo0yu0YAAAC30qiAtXnzZiUmJmrkyJH6/vvv5XA4FBQUZHZtAAAAbqlRAevxxx/Xyy%2B/rCuuuEJXXnml2TUBzUJs%2BttNXQIAwE016iT3a6%2B9Vl999ZXZtQAAALQIjdqD1blzZz3yyCN64YUXdO2118rHx8dpft68eaYUBwAA4I4aFbC%2B/vprxcTESBLXvQIAAPiJBgesjIwMJScny8/PTy%2B99JIrawIAAHBrDT4Ha9WqVaqoqHAaGz9%2BvEpKSkwvCgAAwJ01OGA5HI46Y59%2B%2BqmqqqpMLQgAAMDdNeqvCAEAAPDzCFgAAAAmu6CA5eHh4ao6AAAAWowLukzD7Nmzna55debMGc2fP1%2BtWrVyuh/XwQIAAL9mDQ5YN910U51rXkVHR6usrExlZWWmFwYAAOCuGhywuPYVAABAw3CSOwAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJmm3Aev3119WpU6c6P507d5YkPfjgg3Xmtm3bZmz/4osvqnfv3oqOjta0adOcvqi6qqpK06ZNU2xsrOLj47Vy5Uqnxy4sLNTYsWMVFRWlgQMHavv27ZfmSQMAgBbhgi40eikNHDhQvXv3Nm5XV1drzJgx6tOnjyTp4MGDmj9/vn77298a97niiiskSe%2B8844yMzM1f/58BQUFKS0tTfPnz9djjz0mScrIyNDevXu1evVqHTlyRFOmTFF4eLgSExPlcDiUlJSkjh07auPGjdq6dauSk5O1ZcsWhYeHX7oGAAAAt9VsA5avr698fX2N28uWLZPD4dAjjzwiu92u7777Tl27dlVISEidbdesWaMxY8aob9%2B%2BkqSZM2dq3LhxmjRpkhwOhzZs2KDly5crIiJCERERKigo0Lp165SYmKidO3eqsLBQ69evl5%2Bfnzp06KAdO3Zo48aNSklJuWTPHwAAuK9me4jwx8rLy7V8%2BXJNnDhR3t7eOnTokDw8PNSuXbs6962pqdGePXsUGxtrjEVFRenMmTPav3%2B/9u/fr%2BrqakVHRxvzMTExysvLU21trfLy8nTDDTfIz8/PaT43N9e1TxIAALQYbhGwXnnlFYWGhioxMVGSdOjQIfn7%2B2vy5MmKj4/XsGHD9P7770uSjh8/rqqqKoWGhhrbWywWtW7dWkVFRbLZbAoMDJS3t7cxHxwcrKqqKpWXl8tmszltK0lBQUEqKiq6BM8UAAC0BM32EOE55w7p3X///cbYoUOHVFlZqfj4eI0fP17vvvuuHnzwQWVnZys4OFiSnALUudt2u10Oh%2BO8c5Jkt9tVUVHxs9s2VElJSZ3vbbRY/OoEt4vh5eXp9C/MRV/xYxaLe7we%2BFxwHXp7abSk/jb7gLVnzx4VFxfrtttuM8YmTJige%2B65xzipvXPnzvriiy/06quv6m9/%2B5sk1QlEdrtdVqtVNTU1552Tzp735ePjo/Ly8jrzPz4frD7Z2dnKzMx0GktKSlJqamqD12iogACr6WsCcBYY2KqpS7ggfC64Dr11rZbU32YfsD788EPFxsYaYUqSPD09nW5LUvv27XXgwAG1bt1aPj4%2BKi0tVYcOHSSd/QvE8vJyhYSEyOFwqKysTNXV1bJYzj59m80mX19fBQQEKCwsTAcOHHBau7S09IL2Po0cOVIJCQlOYxaLn8rKTl3Qc/8lXl6eCgiw6vjxCtXU1Jq2Ls5qSb9F4eKZ%2Bd51JT4XXIfeXhqu6G9T/YLU7ANWfn6%2Bunfv7jQ2depUeXh4aN68ecbY/v371bFjR3l6eqpr167KyclRjx49JEm5ubmyWCzGNbQsFotyc3ONE%2BFzcnLUtWtXeXp6KjIyUllZWaqsrDT2WuXk5CgmJqbBNYeGhtYJZDbbCVVXm/%2BmrKmpdcm6AP7L3d5jfC64Dr11rZbU32b/a3pBQYGuv/56p7GEhAS99dZbeuONN/TNN98oMzNTOTk5uvvuuyVJd911l1asWKGtW7cqPz9fM2bM0IgRI2S1WmW1WjV48GDNmDFD%2Bfn52rp1q1auXKnRo0dLkuLi4tSmTRulpaWpoKBAWVlZys/P17Bhwy75cwcAAO6p2e/BKi0tVUBAgNNY//79NX36dD333HM6cuSIfvOb3%2BiFF15Q27ZtJUm33XabDh8%2BrMcee0x2u139%2B/fXpEmTjO3T0tI0Y8YMjRkzRv7%2B/kpJSVH//v0lSV5eXnr22WeVnp6uIUOG6JprrtHSpUu5yCgAAGgwD4fD4WjqIn4NbLYTpq5nsXgqMLCVyspOtZjdqc2JxeKpfgs%2BbOoy0Ez866FeTV1Cg/C54Dru2tsBiz5q6hIa7LM5iS7pb0jI5aau11DN/hAhAACAuyFgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJmu2Aevdd99Vp06dnH5SU1MlSfv27dPw4cMVGRmpoUOHau/evU7bbt68WbfccosiIyOVlJSk77//3phzOBxasGCBevbsqbi4OGVkZKi2ttaYLysrU0pKiqKjo5WQkKBNmzZdmicMAABajGYbsA4cOKC%2Bfftq%2B/btxs/s2bN1%2BvRpjR8/XrGxsXr99dcVHR2tBx54QKdPn5Yk5efnKz09XcnJycrOztbx48eVlpZmrLtq1Spt3rxZmZmZWrJkid566y2tWrXKmE9LS9OJEyeUnZ2tBx98UI8%2B%2Bqjy8/Mv%2BfMHAADuq9kGrIMHD6pjx44KCQkxfgICArRlyxb5%2BPho8uTJ6tChg9LT09WqVSu9/fbbkqS1a9dqwIABGjx4sDp37qyMjAy9//77KiwslCStWbNGqampio2NVc%2BePfXII49o3bp1kqRvv/1W27Zt0%2BzZs9WxY0cNHz5ct99%2Bu15%2B%2BeUm6wMAAHA/zTpgXXvttXXG8/LyFBMTIw8PD0mSh4eHunfvrtzcXGM%2BNjbWuH%2BbNm0UHh6uvLw8FRcX6%2BjRo7rpppuM%2BZiYGB0%2BfFglJSXKy8tTmzZt1LZtW6f5zz//3EXPEgAAtETNMmA5HA59/fXX2r59u2699VbdcsstWrBggex2u2w2m0JDQ53uHxQUpKKiIklSSUnJz87bbDZJcpoPDg6WJGP%2BfNsWFxeb/hwBAEDLZWnqAs7nyJEjqqiokLe3txYtWqTvvvtOs2fPVmVlpTH%2BY97e3rLb7ZKkysrKn52vrKw0bv94TpLsdnu9azdUSUmJEebOsVj86oS3i%2BHl5en0L8xFX/FjFot7vB74XHAdentptKT%2BNsuAdfXVV2vXrl264oor5OHhoS5duqi2tlaTJk1SXFxcncBjt9vl6%2BsrSfLx8TnvvNVqdQpTPj4%2Bxn9LktVq/dltz63dUNnZ2crMzHQaS0pKMv4K0kwBAVbT1wTgLDCwVVOXcEH4XHAdeutaLam/zTJgSVLr1q2dbnfo0EFVVVUKCQlRaWmp01xpaamxdygsLOy88yEhIQoLC5Mk2Ww24zyrc3uazs3/3LYXYuTIkUpISHAas1j8VFZ26oLW%2BSVeXp4KCLDq%2BPEK1dTU1r8BLkhL%2Bi0KF8/M964r8bngOvT20nBFf5vqF6RmGbA%2B/PBDPfLII/q///s/Wa1n0%2By///1vtW7dWjExMVq%2BfLkcDoc8PDzkcDi0e/du/fWvf5UkRUZGKicnR0OGDJEkHT16VEePHlVkZKTCwsIUHh6unJwcI2Dl5OQoPDxcoaGhioqK0uHDh1VUVKSrrrrKmI%2BKirqg%2BkNDQ%2BscDrTZTqi62vw3ZU1NrUvWBfBf7vYe43PBdeita7Wk/jbLX9Ojo6Pl4%2BOjRx99VIcOHdL777%2BvjIwM3X///UpMTNTx48c1Z84cHThwQHPmzFFFRYUGDBggSRo1apQ2bdqkDRs2aP/%2B/Zo8ebL69Omjdu3aGfMLFizQrl27tGvXLi1cuFCjR4%2BWJLVr107x8fGaNGmS9u/frw0bNmjz5s3685//3GS9AAAA7qdZ7sHy9/fXihUrNHfuXA0dOlStWrXSn/70J91///3y8PDQsmXLNH36dL366qvq1KmTsrKy5OfnJ%2BlsOHv88ce1ZMkS/fDDD%2BrVq5dmzZplrD1u3DgdO3ZMycnJ8vLy0rBhwzR27FhjPiMjQ%2Bnp6RoxYoRCQkI0d%2B5cdevW7VK3AAAAuDEPh8PhaOoifg1sthOmrmexeCowsJXKyk61mN2pzYnF4ql%2BCz5s6jLQTPzroV5NXUKD8LngOu7a2wGLPmrqEhrsszmJLulvSMjlpq7XUM3yECEAAIA7I2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAma7YBq7i4WKmpqYqLi1Pv3r01b948VVVVSZJmz56tTp06Of2sXbvW2Hbz5s265ZZbFBkZqaSkJH3//ffGnMPh0IIFC9SzZ0/FxcUpIyNDtbW1xnxZWZlSUlIUHR2thIQEbdq06dI9aQAA0CJYmrqA83E4HEpNTVVAQIDWrVunH374QdOmTZOnp6emTJmigwcPauLEibrzzjuNbfz9/SVJ%2Bfn5Sk9P18yZM9W5c2fNmTNHaWlpWrZsmSRp1apV2rx5szIzM1VdXa1JkyYpKChI48aNkySlpaWpsrJS2dnZysvL06OPPqrrrrtO3bp1u/SNAAAAbqlZBqxDhw4pNzdXH330kYKDgyVJqampevLJJ42ANW7cOIWEhNTZdu3atRowYIAGDx4sScrIyFDfvn1VWFiodu3aac2aNUpNTVVsbKwk6ZFHHtHixYs1btw4ffvtt9q2bZvee%2B89tW3bVh07dlRubq5efvllAhYAAGiwZnmIMCQkRC%2B88IIRrs45efKkTp48qeLiYl177bXn3TYvL88IT5LUpk0bhYeHKy8vT8XFxTp69KhuuukmYz4mJkaHDx9WSUmJ8vLy1KZNG7Vt29Zp/vPPPzf3CQIAgBatWQasgIAA9e7d27hdW1urtWvXqmfPnjp48KA8PDz0/PPP6%2Babb9btt9%2Buf/zjH8Z9S0pKFBoa6rReUFCQioqKZLPZJMlp/lyIOzd/vm2Li4tNf44AAKDlapaHCH9q/vz52rdvn1577TV98cUX8vDwUPv27XX33Xfr008/1d///nf5%2B/urX79%2BqqyslLe3t9P23t7estvtqqysNG7/eE6S7Ha7KioqfnbbC1FSUmKEuXMsFr864e1ieHl5Ov0Lc9FX/JjF4h6vBz4XXIfeXhotqb/NPmDNnz9fq1ev1tNPP62OHTvqN7/5jfr27avWrVtLkjp37qz//Oc/euWVV9SvXz/5%2BPjUCUR2u11Wq9UpTPn4%2BBj/LUlWq/Vnt/X19b2gmrOzs5WZmek0lpSUpNTU1AtapyECAqymrwnAWWBgq6Yu4YLwueA69Na1WlJ/m3XAmjVrll555RXNnz9ft956qyTJw8PDCFfntG/fXjt37pQkhYWFqbS01Gm%2BtLRUISEhCgsLkyTZbDbjPKtze5rOzf/cthdi5MiRSkhIcBqzWPxUVnbqgtb5JV5engoIsOr48QrV1NTWvwEuSEv6LQoXz8z3rivxueA69PbScEV/m%2BoXpGYbsDIzM7V%2B/Xo99dRTSkxMNMYXL16szz//XC%2B%2B%2BKIxtn//frVv316SFBkZqZycHA0ZMkSSdPToUR09elSRkZEKCwtTeHi4cnJyjICVk5Oj8PBwhYaGKioqSocPH1ZRUZGuuuoqYz4qKuqCag8NDa1zONBmO6HqavPflDU1tS5ZF8B/udt7jM8F16G3rtWS%2BtssA9bBgwf17LPPavz48YqJiXE6n6lv377KysrSihUr1K9fP23fvl1vvPGG1qxZI0kaNWqU7rnnHkVFRalr166aM2eO%2BvTpo3bt2hnzCxYsMALUwoULdd9990mS2rVrp/j4eE2aNEnp6enas2ePNm/e7HQRUwAAgPo0y4D13nvvqaamRs8995yee%2B45p7kvv/xSixcv1pIlS7R48WJdffXVWrhwoaKjoyVJ0dHRevzxx7VkyRL98MMP6tWrl2bNmmVsP27cOB07dkzJycny8vLSsGHDNHbsWGM%2BIyND6enpGjFihEJCQjR37lyugQUAAC6Ih8PhcDR1Eb8GNtsJU9ezWDwVGNhKZWWnWszu1ObEYvFUvwUfNnUZaCb%2B9VCvpi6hQfhccB137e2ARR81dQkN9tmcRJf0NyTkclPXayjO5AUAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJM1yy97BoDmxJ2%2Bz02S3n2kd1OXAPzqsQcLAADAZAQsAAAAk3GI0M31W/BhU5fQYP96qFdTlwAAwCXBHiwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAEzGV%2BXgkhmw6KOmLgEAgEuCPVjnUVVVpWnTpik2Nlbx8fFauXJlU5cEAADcCHuwziMjI0N79%2B7V6tWrdeTIEU2ZMkXh4eFKTExs6tIAAIAbIGD9xOnTp7VhwwYtX75cERERioiIUEFBgdatW0fAAgAADcIhwp/Yv3%2B/qqurFR0dbYzFxMQoLy9PtbW1TVgZAABwF%2BzB%2BgmbzabAwEB5e3sbY8HBwaqqqlJ5ebmuvPLKetcoKSmRzWZzGrNY/BQaGmpanV5eZGMA59dvwYdNXUKDvftI76YuoUHOfeby2etaLam/BKyfqKiocApXkozbdru9QWtkZ2crMzPTaSw5OVkpKSnmFKmzIW716he05f8baWpww1klJSXKzs7WyJH012z01nXoreuc%2B8x1t95%2BNsc9Tm0pKSnRM88843b9/SUtJyqaxMfHp06QOnfb19e3QWuMHDlSr7/%2ButPPyJEjTa3TZrMpMzOzzp4ymIP%2Bug69dR166zr01rVaYn/Zg/UTYWFhKisrU3V1tSyWs%2B2x2Wzy9fVVQEBAg9YIDQ1tMQkcAABcOPZg/USXLl1ksViUm5trjOXk5Khr167y9KRdAACgfiSGn7BarRo8eLBmzJih/Px8bd26VStXrtTo0aObujQAAOAmvGbMmDGjqYtobnr27Kl9%2B/Zp4cKF2rFjh/76179q6NChTV1WHa1atVJcXJxatWrV1KW0SPTXdeit69Bb16G3rtXS%2BuvhcDgcTV0EAABAS8IhQgAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsN1RVVaVp06YpNjZW8fHxWrlyZVOX5LaKi4uVmpqquLg49e7dW/PmzVNVVZUkqbCwUGPHjlVUVJQGDhyo7du3N3G17mv8%2BPGaOnWqcXvfvn0aPny4IiMjNXToUO3du7cJq3NPdrtdM2fO1E033aTf/e53euqpp3TuutH09%2BIcPXpUDzzwgLp3766EhAS9%2BOKLxhy9bTy73a5BgwZp165dxlh9n7Mff/yxBg0apMjISI0ePVqFhYWXuuxGI2C5oYyMDO3du1erV6/W9OnTlZmZqbfffrupy3I7DodDqampqqio0Lp16/T0009r27ZtWrRokRwOh5KSkhQcHKyNGzfqjjvuUHJyso4cOdLUZbudf/7zn3r//feN26dPn9b48eMVGxur119/XdHR0XrggQd0%2BvTpJqzS/cyePVsff/yxVqxYoYULF%2BrVV19VdnY2/TXBQw89JD8/P73%2B%2BuuaNm2aFi1apHfffZfeXoSqqio9/PDDKigoMMbq%2B5w9cuSIkpKSNGTIEL322mu68sorNWHCBLnNF9A44FZOnTrl6Nq1q2Pnzp3G2NKlSx133313E1blng4cOODo2LGjw2azGWNvvfWWIz4%2B3vHxxx87oqKiHKdOnTLmxowZ41iyZElTlOq2ysrKHDfffLNj6NChjilTpjgcDodjw4YNjoSEBEdtba3D4XA4amtrHf369XNs3LixKUt1K2VlZY4bbrjBsWvXLmNs2bJljqlTp9Lfi1ReXu7o2LGj48svvzTGkpOTHTNnzqS3jVRQUOC4/fbbHX/84x8dHTt2NP7/Vd/n7KJFi5z%2B33b69GlHdHS00///mjP2YLmZ/fv3q7q6WtHR0cZYTEyM8vLyVFtb24SVuZ%2BQkBC98MILCg4Odho/efKk8vLydMMNN8jPz88Yj4mJUW5u7qUu0609%2BeSTuuOOO3T99dcbY3l5eYqJiZGHh4ckycPDQ927d6e3FyAnJ0f%2B/v6Ki4szxsaPH6958%2BbR34vk6%2Bsrq9Wq119/XWfOnNGhQ4e0e/dudenShd420ieffKIePXooOzvbaby%2Bz9m8vDzFxsYac1arVREREW7TbwKWm7HZbAoMDJS3t7cxFhwcrKqqKpWXlzdhZe4nICBAvXv3Nm7X1tZq7dq16tmzp2w2m0JDQ53uHxQUpKKioktdptvasWOHPvvsM02YMMFpnN5evMLC/9fO3bxC18ZxAP8%2Bd6OZSdkhDU0sFBnHuIuUxJCXbBQWyNvCn4BGGkqTxYSF91kYskBZTE12EklWQyakxvtTpFFKMkiue3F3T888aDAn85yn76fO4lxnFr%2B%2Bc3WdX2fOXH9Dp9PB6XSivLwcxcXFGB0dxcvLC/MNk1qthsViwcLCAiRJQkVFBQoKClBbW8tsv6i%2Bvh5dXV3QarVB46HyVHreqkgXQJ/j9/uDmisAgfOnp6dIlPS/YbPZsL%2B/j8XFRUxPT7%2BZMzP%2BmMfHR/T09MBisUCj0QRde28OM9uPu7%2B/x9nZGUFgQ4QAAAOlSURBVObn59Hf3w%2BfzweLxQKtVst8ZXB0dISioiK0trbC6/Wir68PeXl5zFZmofJUet5ssBRGrVa/mlx/zv99I6OPs9lsmJmZwdDQEFJTU6FWq189EXx6emLGHzQyMoKMjIygJ4R/vDeHme3HqVQq3N3dYWBgADqdDsDvF4Ln5uag1%2BuZbxg2NzexuLiItbU1aDQaGAwGXF1dYXx8HElJScxWRqHW2ffWipiYmG%2BrMRz8iVBh4uPjcXNzg%2Bfn58CYz%2BeDRqNRzKT7r%2Bnr64PD4YDNZkNZWRmA3zlfX18Hfe76%2BvrV42p629LSEpaXl2E0GmE0GuFyueByuWA0GpmtDGJjY6FWqwPNFQAkJyfj8vKS%2BYZpd3cXer0%2BqGlKT0/HxcUFs5VZqDzfux4bG/ttNYaDDZbCpKWlQaVSBb3k53a7YTAY8OMHv87PGhkZwfz8PAYHB1FZWRkYlyQJe3t7eHh4CIy53W5IkhSJMhVndnYWLpcLTqcTTqcTJpMJJpMJTqcTkiRhe3s78FdrIQS2traY7SdIkoTHx0ecnJwExo6Pj6HT6ZhvmOLi4nB2dhb05OT4%2BBiJiYnMVmah1llJkuB2uwPX/H4/9vf3FZM378gKo9VqUVVVhd7eXng8HiwvL2NqagpNTU2RLk1xjo6OMDY2hra2Nvz8%2BRM%2Bny9w5OTkICEhAWazGV6vF3a7HR6PBzU1NZEuWxF0Oh30en3giI6ORnR0NPR6PcrLy3F7ewur1YrDw0NYrVb4/X5UVFREumzFSElJQWFhIcxmMw4ODrC%2Bvg673Y66ujrmGyaTyYSoqCh0d3fj5OQEKysrmJiYQGNjI7OVWah1trq6GltbW7Db7fB6vTCbzUhMTERubm6EK/%2BgSO4RQV9zf38vOjo6RFZWlsjPzxcOhyPSJSnS5OSkSE1NffMQQojT01PR0NAgMjIyRGVlpdjY2IhwxcrV2dkZ2AdLCCF2dnZEVVWVMBgMoqamRuzt7UWwOmW6vb0V7e3tIisrS%2BTl5Ynh4eHA/kzMNzxer1e0tLSI7OxsUVJSIhwOB7OVyT/3wRIi9Dq7uroqSktLRWZmpmhubhbn5%2BffXfKX/SWEUrZEJSIiIlIG/kRIREREJDM2WEREREQyY4NFREREJDM2WEREREQyY4NFREREJDM2WEREREQyY4NFREREJDM2WEREREQyY4NFREREJDM2WEREREQyY4NFREREJDM2WEREREQyY4NFREREJLNf5JIEL6/%2B3jgAAAAASUVORK5CYII%3D"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common-4124203349676505085">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">99.8666</td>
<td class="number">198364</td>
<td class="number">34.8%</td>
<td>
<div class="bar" style="width:54%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">48.2138</td>
<td class="number">157</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">43.518</td>
<td class="number">144</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">24.9487</td>
<td class="number">43</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">26.4481</td>
<td class="number">42</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">24.9484</td>
<td class="number">33</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">26.4459</td>
<td class="number">32</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">26.4485</td>
<td class="number">31</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">24.9469</td>
<td class="number">28</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">24.9483</td>
<td class="number">28</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (344110)</td>
<td class="number">369966</td>
<td class="number">64.9%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">1432</td>
<td class="number">0.3%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme-4124203349676505085">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">0.100289</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.1013493</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.1024095</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.1034698</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.104275</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">100.01</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">100.0393</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">100.0686</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">100.0979</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">100.1272</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow ignore">
<div class="col-md-3 namecol">
<p class="h4"><s><code>MQI88024.CPV</code></s><br/>
<small>Highly correlated</small>
</p>
</div><div class="col-md-3">
<p><em>This variable is highly correlated with <code>FIC88022.PV</code> and should be ignored for analysis</em></p>
</div>
<div class="col-md-6">
<table class="stats ">
<tr>
<th>Correlation</th>
<td>0.94918</td>
</tr>
</table>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4">NIC88002.PV<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>349792</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>61.5%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.3%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1432</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>24.876</td>
</tr>
<tr>
<th>Minimum</th>
<td>-0.30554</td>
</tr>
<tr>
<th>Maximum</th>
<td>58.598</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="minihistogram8851253719306584515">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAAStJREFUeJzt28GJw0AQAEHZOCQH4Zz8dk4XhHNavw%2BO5iQQWqOqv2AQanYfo8sYYyzAn65HDwAzux09AL/dnz%2Brn3m/HjtMwrIIZFdbPnbm4ooFQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgECwrrmD58HycIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQC4bQ/TPn5if9wgkAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAmG4Xa8uO1Pv12GGS77H2nZ39fa0xXSBbWDxkL65YEAQC4TLGGEcPAbNygkAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUD4ALPaFzWgr7D9AAAAAElFTkSuQmCC">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives8851253719306584515,#minihistogram8851253719306584515"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives8851253719306584515">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles8851253719306584515"
aria-controls="quantiles8851253719306584515" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram8851253719306584515" aria-controls="histogram8851253719306584515"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common8851253719306584515" aria-controls="common8851253719306584515"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme8851253719306584515" aria-controls="extreme8851253719306584515"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles8851253719306584515">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>-0.30554</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>12.066</td>
</tr>
<tr>
<th>Q1</th>
<td>20.498</td>
</tr>
<tr>
<th>Median</th>
<td>25.946</td>
</tr>
<tr>
<th>Q3</th>
<td>30.658</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>34.413</td>
</tr>
<tr>
<th>Maximum</th>
<td>58.598</td>
</tr>
<tr>
<th>Range</th>
<td>58.903</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>10.16</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>7.449</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.29944</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>1.2642</td>
</tr>
<tr>
<th>Mean</th>
<td>24.876</td>
</tr>
<tr>
<th>MAD</th>
<td>5.8662</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>-0.99506</td>
</tr>
<tr>
<th>Sum</th>
<td>14151000</td>
</tr>
<tr>
<th>Variance</th>
<td>55.487</td>
</tr>
<tr>
<th>Memory size</th>
<td>4.4 MiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram8851253719306584515">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzt3X1cVHXe//H3wCQ3GokKJOojb1pvMgUE0WvVVllLLLfM29VKTVstQX67mTdIeZc3LWqpYaWmpmlKZqtpVld2eVVWmkuCmrmJVt4CQ0HecRNyfn94ebYJW0c6ODP4ej4e86D5fuec85mPc%2BjNOYeDzTAMQwAAALCMj7sLAAAAqG4IWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFjM7u4CrhcOx5kqW7ePj0116tTUDz%2BcU3m5UWXb8Xb0yTX0yTX0yTX0yTX0yXVX26uQkBuvQVUVcQSrGvDxsclms8nHx%2BbuUjwafXINfXINfXINfXINfXKdt/SKgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWMwjAlZpaal69eqlXbt2SZImTpyoFi1aVHgMGTLEXCYmJqbC/Llz5yRJJSUlmjRpkmJiYtS5c2ctX77caXvHjh3TsGHDFBkZqbvvvls7duxwmv/000/Vq1cvRUREaMiQITp27FgVdwAAAFQnbv9TOSUlJRo7dqwOHTpkjqWkpGjs2LHm8xMnTuihhx4yA1Zubq7OnDmjbdu2yd/f33xdYGCgJCk1NVX79%2B/XypUrdfLkSU2YMEHh4eGKj4%2BXYRhKSEhQ8%2BbNtWHDBm3btk2JiYnaunWrwsPDdfLkSSUkJGjMmDHq0qWLFi1apNGjR%2Butt96SzebZd40FAACewa0BKzs7W2PHjpVhOP8toRtvvFE33vjvvx00ceJExcfHq3v37pKkw4cPKyQkRI0aNaqwzvPnz2v9%2BvVaunSpWrdurdatW%2BvQoUNas2aN4uPjtXPnTh07dkzr1q1TYGCgmjVrps8%2B%2B0wbNmzQmDFjtH79et1%2B%2B%2B0aPny4JGn27Nnq1KmTPv/8c3Xo0KEKuwEAAKoLt54ivBRa0tPTf/U1n332mXbv3q3HH3/cHMvOzlaTJk0u%2B/qDBw%2BqrKxMUVFR5lh0dLSysrJUXl6urKws3XbbbebRrkvzmZmZkqSsrCzFxMSYcwEBAWrdurU5DwAAcCVuPYI1ePDgK75myZIluv/%2B%2B1W/fn1z7PDhwyoqKtJDDz2kb775Rq1atdKkSZPUpEkTORwOBQcHq0aNGubr69Wrp5KSEhUWFsrhcCg0NNRpG3Xr1lVOTo4kXXEeAADgStx%2BDdZ/cuzYMe3cuVMpKSlO40eOHNGPP/6oxx9/XLVq1dLSpUs1bNgwvf322yoqKnIKV5LM56Wlpb86X1paKklXnHdFXl6eHA6H05jdHlghuFnF19fH6Ssujz65hj5VdOfcj91dwlV5/4ku7i7BxOfJNfTJdd7SK48OWO%2B9955atWqlW2%2B91Wl82bJl%2Bumnn1SzZk1J0ty5c/WHP/xB27dvl5%2BfX4UwdOm5v7%2B//Pz8VFhYWGH%2B0sXyv7Z8UFCQy3Wnp6crLS3NaSwhIUFJSUkur6MygoICqnT91QV9cg198l7BwTXdXUIFfJ5cQ59c5%2Bm98uiA9fHHH%2BuPf/xjhfEaNWo4HWXy8/NTw4YNlZubq3bt2qmgoEBlZWWy2y%2B%2BPYfDIX9/fwUFBSksLEzZ2dlO68vPzzePLoWFhSk/P7/CfKtWrVyue%2BDAgYqLi3Mas9sDVVBwzuV1XA1fXx8FBQXo9OkiXbhQXiXbqA7ok2vok/erqu81lcHnyTX0yXVX2yt3/cDhsQHLMAzt27dPjz76aIXxO%2B%2B8U6NHj1afPn0kXfzNwe%2B%2B%2B05NmzZVq1atZLfblZmZaV6snpGRoTZt2sjHx0cRERFasmSJiouLzaNWGRkZio6OliRFREQoIyPD3F5RUZEOHDigxMREl2sPDQ2tcDrQ4TijsrKq3WkuXCiv8m1UB/TJNfTJe3nivxufJ9fQJ9d5eq88NmCdOHFC586dq3B60GazqWvXrnr%2B%2BefVoEED1alTRwsWLNDNN9%2BsP/zhD/L19VXv3r01depUzZo1S3l5eVq%2BfLlmz54tSYqNjVX9%2BvWVnJys0aNHa/v27dq7d68537dvXy1btkxLlixRt27dtGjRIjVs2JBbNAAW6jn/E3eXAABVymOvEPv%2B%2B%2B8lSTfddFOFuXHjxqlHjx4aO3as%2Bvfvr7KyMi1ZskS%2Bvr6SpOTkZLVu3VpDhw7VtGnTNGbMGN11112SJF9fX73wwgtyOBzq06eP3nrrLS1atEjh4eGSpIYNG%2Br555/Xhg0b1K9fPxUWFmrRokXcZBQAALjMZvzyLp%2BoEg7HmSpbt93uo%2BDgmiooOOfRh0vdjT655lr0iSNYVeudv3Zydwkm9jvX0CfXXW2vQkJuvOJrqoLHHsECAADwVgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALCYRwSs0tJS9erVS7t27TLHZsyYoRYtWjg9Vq9ebc5v2bJF3bt3V0REhBISEvTDDz%2BYc4ZhaO7cuerYsaNiY2OVmpqq8vJyc76goEBjxoxRVFSU4uLitGnTJqd6Dhw4oP79%2BysiIkJ9%2B/bV/v37q/DdAwCA6sbtAaukpESPP/64Dh065DR%2B%2BPBhjR07Vjt27DAfffv2lSTt3btXKSkpSkxMVHp6uk6fPq3k5GRz2RUrVmjLli1KS0vTwoULtXnzZq1YscKcT05O1pkzZ5Senq7HHntMTz75pPbu3StJOn/%2BvEaOHKmYmBi9%2BeabioqK0qhRo3T%2B/Plr0A0AAFAduDVgZWdna8CAATp69GiFucOHD%2Bu2225TSEiI%2BQgICJAkrV69Wj179lTv3r3VsmVLpaam6sMPP9SxY8ckSatWrVJSUpJiYmLUsWNHPfHEE1qzZo0k6ejRo9q%2BfbtmzJih5s2bq3///rr33nv12muvSZK2bt0qPz8/jR8/Xs2aNVNKSopq1qypd9999xp1BQAAeDu3BqzPP/9cHTp0UHp6utP42bNnlZubq8aNG192uaysLMXExJjP69evr/DwcGVlZSk3N1enTp1S%2B/btzfno6GidOHFCeXl5ysrKUv369dWwYUOn%2BT179pjrjo6Ols1mkyTZbDa1a9dOmZmZVr1tAABQzdndufHBgwdfdvzw4cOy2Wx66aWX9NFHH6l27dp6%2BOGHdf/990uS8vLyFBoa6rRM3bp1lZOTI4fDIUlO8/Xq1ZMkc/5yy%2Bbm5kqSHA6Hbr311grzvzyF%2BZ/k5eWZdVxitwdW2K5VfH19nL7i8uiTa%2BiT97PbPeffjs%2BTa%2BiT67ylV24NWL/myJEjstlsatq0qR588EHt3r1bTz31lGrVqqU777xTxcXFqlGjhtMyNWrUUGlpqYqLi83nP5%2BTLl5MX1RU9KvLSrrivCvS09OVlpbmNJaQkKCkpCSX11EZQUEBVbr%2B6oI%2BuYY%2Bea/g4JruLqECPk%2BuoU%2Bu8/ReeWTA6t27t7p166batWtLklq2bKlvv/1Wa9eu1Z133ik/P78Kgae0tFQBAQFOYcrPz8/8b0kKCAj41WX9/f0l6Yrzrhg4cKDi4uKcxuz2QBUUnHN5HVfD19dHQUEBOn26SBculF95gesUfXINffJ%2BVfW9pjL4PLmGPrnuanvlrh84PDJg2Ww2M1xd0rRpU%2B3cuVOSFBYWpvz8fKf5/Px8hYSEKCwsTNLFU32XrrO6dLru0vyvLfuf1n01p/dCQ0MrvN7hOKOysqrdaS5cKK/ybVQH9Mk19Ml7eeK/G58n19An13l6rzzyBOaCBQs0bNgwp7GDBw%2BqadOmkqSIiAhlZGSYc6dOndKpU6cUERGhsLAwhYeHO81nZGQoPDxcoaGhioyM1IkTJ5STk%2BM0HxkZaa57z549MgxD0sV7an3xxReKiIioqrcLAACqGY8MWN26ddPu3bu1bNkyHT16VK%2B99po2btyo4cOHS5IGDRqkTZs2af369Tp48KDGjx%2Bvrl27qlGjRub83LlztWvXLu3atUvz5s3TkCFDJEmNGjVS586dNW7cOB08eFDr16/Xli1b9MADD0iS4uPjdfr0ac2cOVPZ2dmaOXOmioqK1LNnT/c0AwAAeB2PPEXYtm1bLViwQAsXLtSCBQvUoEEDzZs3T1FRUZKkqKgoTZ8%2BXQsXLtSPP/6oTp066emnnzaXHzFihL7//nslJibK19dX/fr1czoilpqaqpSUFA0YMEAhISGaNWuW2rZtK0mqVauWFi9erClTpuj1119XixYttGTJEgUGBl7THgAAAO9lMy6dC0OVcjjOVNm67XYfBQfXVEHBOY8%2BH%2B1u9Mk116JPPed/UiXrxUXv/LWTu0swsd%2B5hj657mp7FRJy4zWoqiKPPEUIAADgzQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFjMIwJWaWmpevXqpV27dpljmZmZ%2BvOf/6yoqCj16NFD69evd1rm3nvvVYsWLZweX3/9tSTJMAzNnTtXHTt2VGxsrFJTU1VeXm4uW1BQoDFjxigqKkpxcXHatGmT07oPHDig/v37KyIiQn379tX%2B/fur8N0DAIDqxu7uAkpKSjR27FgdOnTIHHM4HPrLX/6iQYMG6ZlnntGXX36p5ORkhYSEqGvXrrpw4YK%2B/fZbrV69Wo0bNzaXCw4OliStWLFCW7ZsUVpamsrKyjRu3DjVrVtXI0aMkCQlJyeruLhY6enpysrK0pNPPqkmTZqobdu2On/%2BvEaOHKk//elPeuaZZ7R27VqNGjVK77//vgIDA69pbwAAgHdya8DKzs7W2LFjZRiG0/i2bdtUr149Pf7445Kkxo0ba9euXdq8ebO6du2q48eP66efflLbtm3l5%2BdXYb2rVq1SUlKSYmJiJElPPPGEFixYoBEjRujo0aPavn27PvjgAzVs2FDNmzdXZmamXnvtNbVt21Zbt26Vn5%2Bfxo8fL5vNppSUFH300Ud699131adPn6pvCgAA8HpuPUX4%2Beefq0OHDkpPT3ca79Kli2bPnl3h9WfPnpV0MZjVr1//suEqNzdXp06dUvv27c2x6OhonThxQnl5ecrKylL9%2BvXVsGFDp/k9e/ZIkrKyshQdHS2bzSZJstlsateunTIzM3/7GwYAANcFtx7BGjx48GXHGzZs6BSAvv/%2Be7399tsaM2aMJOnw4cO64YYbNGrUKO3fv19NmjTR%2BPHj1bZtWzkcDklSaGiouXy9evUkSTk5OXI4HE5zklS3bl3l5uZKunh68tZbb60w//NTmAAAAP%2BJ26/BupLi4mKNGTNG9erV08CBAyVJ33zzjX788Uf1799fSUlJev311zV06FBt3bpVxcXFkqQaNWqY67j036WlpSoqKnKauzRfWloqSVecd0VeXp4Z9C6x2wMrBDur%2BPr6OH3F5dEn19An72e3e86/HZ8n19An13lLrzw6YJ07d06jR4/Wt99%2Bq9dee00BAQGSpKefflrFxcWqVauWJGnq1Kn64osvtGnTJv3%2B97%2BXdDFMXTqFeCkcBQQEyM/Pr0JYKi0tlb%2B/vyRdcd4V6enpSktLcxpLSEhQUlKSy%2BuojKCggCpdf3VBn1xDn7xXcHBNd5dQAZ8n19An13l6rzw2YJ09e1aPPPKIjh49qpUrVzr9tqDdbjfDlXTxOqmmTZsqNzdXYWFhki6e6rt0mvHS0aSQkBCFhYUpPz/faVv5%2BfkKCQmRpF%2Bdv5qjTwMHDlRcXJzTmN0eqIKCcy6v42r4%2BvooKChAp08X6cKF8isvcJ2iT66hT96vqr7XVAafJ9fQJ9ddba/c9QOHRwas8vJyJSYm6vjx43r11VfVrFkzp/mHHnpIHTp0UGJiovn6f/3rX3rggQcUFham8PBwZWRkmAErIyND4eHhCg0NVWRkpE6cOKGcnBzdfPPN5nxkZKQkKSIiQkuXLpVhGLLZbDIMQ1988YUeffRRl%2BsPDQ2tEMgcjjMqK6vanebChfIq30Z1QJ9cQ5%2B8lyf%2Bu/F5cg19cp2n98ojA9Ybb7yhXbt26cUXX1RQUJB5BOqGG25Q7dq1FRcXp0WLFqlVq1Zq0qSJVq1apTNnzuj%2B%2B%2B%2BXJA0aNEhz5841A9S8efM0fPhwSVKjRo3UuXNnjRs3TikpKdq3b5%2B2bNmi1atXS5Li4%2BM1b948zZw5U3/%2B85%2B1bt06FRUVqWfPnm7oBAAA8EYeGbDee%2B89lZeXa9SoUU7jsbGxevXVVzVs2DCVlJRoxowZys/PV0REhFasWGGeNhwxYoS%2B//57JSYmytfXV/369dOwYcPM9aSmpiolJUUDBgxQSEiIZs2apbZt20qSatWqpcWLF2vKlCl6/fXX1aJFCy1ZsoSbjAIAAJfZjF/e5RNVwuE4U2Xrttt9FBxcUwUF5zz6cKm7Vfc%2B9Zz/ibtLgId456%2Bd3F2Cqbrvd1ahT6672l6FhNx4DaqqyLN/xxEAAMALEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALFapgNW/f3%2BtW7dOZ86csboeAAAAr1epgNWxY0e99NJL6ty5sx5//HHt2LFDhmFYXRsAAIBXqlTAGjt2rLZv364XXnhBvr6%2BGjNmjLp27arnnntO33zzjdU1AgAAeBV7ZRe02Wzq1KmTOnXqpKKiIr366qt64YUXtGTJErVr105Dhw7VXXfdZWWtAAAAXqHSAUuS8vLy9NZbb%2Bmtt97S119/rXbt2un%2B%2B%2B9XTk6OnnzySe3evVspKSlW1QoAAOAVKhWwNm3apE2bNmnXrl2qU6eOevfurYULF6px48bma%2BrXr6%2BZM2cSsAAAwHWnUgErJSVF3bp106JFi3THHXfIx6fipVxNmzbVgw8%2B%2BJsLBAAA8DaVClgfffSRgoODVVhYaIarvXv3qnXr1vL19ZUktWvXTu3atbOuUgAAAC9Rqd8iPHv2rOLj47V06VJzbOTIkbrvvvt06tQpy4oDAADwRpUKWLNmzdItt9yihx9%2B2BzbunWr6tevr9mzZ1tWHAAAgDeqVMD65z//qYkTJyokJMQcq1OnjsaPH6%2BdO3daVhwAAIA3qlTAstvtOn36dIXxoqIi7ugOAACue5UKWHfccYdmzJiho0ePmmPHjh3T7Nmz1aVLF8uKAwAA8EaV%2Bi3CCRMm6OGHH1aPHj0UFBQkSTp9%2BrRat26t5ORkSwsEAADwNpU6glW3bl394x//0JIlSzRq1CglJCRo2bJlWr9%2BvdN1Wa4oLS1Vr169tGvXLnPs2LFjGjZsmCIjI3X33Xdrx44dTst8%2Bumn6tWrlyIiIjRkyBAdO3bMaf6VV15Rly5dFBUVpUmTJqmoqMicKykp0aRJkxQTE6POnTtr%2BfLlTsteadsAAABXUqmAJUm%2Bvr7q0qWLhg8friFDhuj3v/%2B9bDbbVa2jpKREjz/%2BuA4dOmSOGYahhIQE1atXTxs2bNB9992nxMREnTx5UpJ08uRJJSQkqE%2BfPnrjjTdUp04djR492rz267333lNaWpqmT5%2BulStXKisrS3PmzDHXn5qaqv3792vlypWaMmWK0tLS9O6777q0bQAAAFdU6hShw%2BHQ/Pnz9cUXX%2Binn36qcGH7Bx98cMV1ZGdna%2BzYsRWW3blzp44dO6Z169YpMDBQzZo102effaYNGzZozJgxWr9%2BvW6//XYNHz5ckjR79mx16tRJn3/%2BuTp06KBVq1Zp6NCh6tatmyRp2rRpGjFihMaNGyfDMLR%2B/XotXbpUrVu3VuvWrXXo0CGtWbNG8fHxV9w2AACAKyoVsJ566int379f99xzj2688cZKbfhSIPrb3/6myMhIczwrK0u33XabAgMDzbHo6GhlZmaa8zExMeZcQECAWrdurczMTMXExGjfvn1KTEw05yMjI/XTTz/p4MGDMgxDZWVlioqKclr3Sy%2B9pPLy8ituGwAAwBWVClg7d%2B7Uyy%2B/7BR0rtbgwYMvO%2B5wOBQaGuo0VrduXeXk5Fxx/vTp0yopKXGat9vtql27tnJycuTj46Pg4GDVqFHDnK9Xr55KSkpUWFh4xW27Ki8vTw6Hw2nMbg%2BssG6r%2BPr6OH3F5dEnXC/sds/5jLPfuYY%2Buc5belWpgBUYGKi6detaXYuki/fS%2BnkAkqQaNWqotLT0ivPFxcXm88vNG4Zx2Tnp4sX2V9q2q9LT05WWluY0lpCQoKSkpKtaz9UKCgqo0vVXF/QJ1V1wcE13l1AB%2B51r6JPrPL1XlQpY9913n15%2B%2BWVNnz7d/OPOVvHz81NhYaHTWGlpqfz9/c35Xwae0tJSBQUFyc/Pz3z%2By/mAgABduHDhsnOS5O/vf8Vtu2rgwIGKi4tzGrPbA1VQcO6q1uMqX18fBQUF6PTpIl24UF4l26gO6BOuF1X1vaYy2O9cQ59cd7W9ctcPHJUKWIWFhdqyZYv%2B93//V40aNapw1GfVqlWVLigsLEzZ2dlOY/n5%2BebptbCwMOXn51eYb9WqlWrXri0/Pz/l5%2BerWbNmkqSysjIVFhYqJCREhmGooKBAZWVlstsvvnWHwyF/f38FBQVdcduuCg0NrbCMw3FGZWVVu9NcuFBe5duoDugTqjtP/Hyz37mGPrnO03tV6ROYvXr10h133KEmTZqoQYMGTo/fIiIiQl9%2B%2BaV5uk%2BSMjIyFBERYc5nZGSYc0VFRTpw4IAiIiLk4%2BOjNm3aOM1nZmbKbrerZcuWatWqlex2u9NF6xkZGWrTpo18fHyuuG0AAABXVOoI1uzZs62uwxQbG6v69esrOTlZo0eP1vbt27V3715zm3379tWyZcu0ZMkSdevWTYsWLVLDhg3VoUMHSRcvnp88ebKaN2%2Bu0NBQTZ06VQMGDFBAwMVztb1799bUqVM1a9Ys5eXlafny5ea6r7RtAAAAV1T6CFZeXp7S0tI0duxYff/993r33Xd15MiR31yQr6%2BvXnjhBTkcDvXp00dvvfWWFi1apPDwcElSw4YN9fzzz2vDhg3q16%2BfCgsLtWjRIvMmp/fcc49GjRqlyZMna/jw4Wrbtq3GjRtnrj85OVmtW7fW0KFDNW3aNI0ZM0Z33XWXS9sGAABwhc345Z0%2BXfDdd99pwIABqlWrlnJzc/XOO%2B9ozpw5%2Bvjjj/XKK69wSu0yHI4zVbZuu91HwcE1VVBwzqPPR7tbde9Tz/mfuLsEeIh3/trJ3SWYqvt%2BZxX65Lqr7VVISOXu1/lbVeoI1jPPPKPu3btr27ZtuuGGGyRJzz77rOLi4jR37lxLCwQAAPA2lQpYX3zxhR5%2B%2BGGnvz1ot9s1evRoHThwwLLiAAAAvFGlAlZ5ebnKyyseljt37pzl98UCAADwNpUKWJ07d9bixYudQlZhYaHmzJmjjh07WlYcAACAN6pUwJo4caL279%2Bvzp07q6SkRI899pi6deum48ePa8KECVbXCAAA4FUqdR%2BssLAwbdy4UVu2bNFXX32l8vJyDRo0SPfdd59q1apldY0AAABepVIBS5ICAgLUv39/K2sBAACoFioVsIYMGfIf53/L3yIEAADwdpUKWL/8e4NlZWX67rvv9PXXX2vo0KGWFAYAAOCtLP1bhIsWLVJOTs5vKggAAMDbVfpvEV7Offfdp3feecfKVQIAAHgdSwPWnj17uNEoAAC47ll2kfvZs2f1r3/9S4MHD/7NRQEAAHizSgWs8PBwp79DKEk33HCDHnzwQd17772WFAYAAOCtKhWwnnnmGavrAAAAqDYqFbB2797t8mvbt29fmU0AAAB4rUoFrIceesg8RWgYhjn%2ByzGbzaavvvrqt9YIAADgVSoVsF566SXNmDFD48aNU2xsrGrUqKF9%2B/Zp%2BvTpuv/%2B%2B3X33XdbXScAAIDXqNRtGmbPnq3JkyerR48eCg4OVs2aNdWxY0dNnz5da9euVYMGDcwHAADA9aZSASsvL%2B%2By4alWrVoqKCj4zUUBAAB4s0oFrMjISD377LM6e/asOVZYWKg5c%2Bbov/7rvywrDgAAwBtV6hqsJ598UkOGDNEdd9yhxo0byzAMffvttwoJCdGqVausrhEAAMCrVCpgNWvWTFu3btWWLVt0%2BPBhSdIDDzyge%2B65RwEBAZYWCAAA4G0qFbAk6aabblL//v11/PhxNWrUSNLFu7kDAABc7yp1DZZhGJo7d67at2%2BvXr16KScnRxMmTFBKSop%2B%2Buknq2sEAADwKpUKWK%2B%2B%2Bqo2bdqkKVOmqEaNGpKk7t27a9u2bUpLS7O0QAAAAG9TqYCVnp6uyZMnq0%2BfPuYs8tR9AAAedUlEQVTd2%2B%2B%2B%2B27NmDFDmzdvtrRAAAAAb1OpgHX8%2BHG1atWqwnjLli3lcDh%2Bc1EAAADerFIBq0GDBtq3b1%2BF8Y8%2B%2Bsi84B0AAOB6VanfIhwxYoSmTZsmh8MhwzD02WefKT09Xa%2B%2B%2BqomTpxodY0AAABepVIBq2/fviorK9OLL76o4uJiTZ48WXXq1NFf//pXDRo0yOoaAQAAvEqlAtaWLVsUHx%2BvgQMH6ocffpBhGKpbt66lhb355ptKTk6uMG6z2XTw4EE99thj%2Bp//%2BR%2BnuZdeekndunWTJL3yyitatmyZzp49q549e%2Bqpp54yb4JaUlKiadOm6b//%2B7/l7%2B%2Bv4cOHa/jw4eZ6jh07pqeeekqZmZkKDw/XpEmT1LlzZ0vfHwAAqL4qFbCmT5%2Bu1157TTfddJPq1KljdU2SLv5WYpcuXcznZWVlGjp0qLp27SpJOnz4cIW/fXjTTTdJkt577z2lpaVpzpw5qlu3rpKTkzVnzhxNnjxZkpSamqr9%2B/dr5cqVOnnypCZMmKDw8HDFx8fLMAwlJCSoefPm2rBhg7Zt26bExERt3bpV4eHhVfJeAQBA9VKpgNW4cWN9/fXXuvXWW62ux%2BTv7y9/f3/z%2BeLFi2UYhp544gmVlpbq%2BPHjatOmjUJCQiosu2rVKg0dOtQ8mjVt2jSNGDFC48aNk2EYWr9%2BvZYuXarWrVurdevWOnTokNasWaP4%2BHjt3LlTx44d07p16xQYGKhmzZrps88%2B04YNGzRmzJgqe78AAKD6qFTAatmypZ544gm9/PLLaty4sfz8/JzmZ8%2BebUlxlxQWFmrp0qWaMWOGatSooYMHD8pms132NxYvXLigffv2KTEx0RyLjIzUTz/9pIMHD8owDJWVlSkqKsqcj46O1ksvvaTy8nJlZWXptttuU2BgoNN8Zmampe8JAABUX5UKWN98842io6Ml6Zrc92rt2rUKDQ1VfHy8JOnIkSOqVauWxo8fr88//1w333yzxowZoz/84Q86ffq0SkpKFBoaai5vt9tVu3Zt5eTkyMfHR8HBweYd6CWpXr16KikpUWFhoRwOh9OyklS3bl3l5ORU%2BfsEAADVg8sBKzU1VYmJiQoMDNSrr75alTU5uXRK75FHHjHHjhw5ouLiYnXu3FkjR47U%2B%2B%2B/r8cee0zp6emqV6%2BeJDkFqEvPS0tLZRjGZeckqbS0VEVFRb%2B6rKvy8vIqBE%2B7PbBCcLOKr6%2BP01dcHn3C9cJu95zPOPuda%2BiT67ylVy4HrBUrVmjEiBFOp85GjhypGTNmVFlwkKR9%2B/YpNzdX99xzjzk2evRoPfTQQ%2BZF7S1bttSXX36p119/XX/7298kqUIgKi0tVUBAgC5cuHDZOenidV9%2Bfn4qLCysMP/z68GuJD09vcLfZExISFBSUpLL66iMoKCAKl1/dUGfUN0FB9d0dwkVsN%2B5hj65ztN75XLAMgyjwtju3btVUlJiaUG/9PHHHysmJsYMU5Lk4%2BPj9FySmjZtquzsbNWuXVt%2Bfn7Kz89Xs2bNJF38DcTCwkKFhITIMAwVFBSorKxMdvvFt%2B9wOOTv76%2BgoCCFhYUpOzvbad35%2BflXFSIHDhyouLg4pzG7PVAFBeeu6r27ytfXR0FBATp9ukgXLpRXyTaqA/qE60VVfa%2BpDPY719An111tr9z1A0elrsG6lvbu3at27do5jU2cOFE2m83pYvqDBw%2BqefPm8vHxUZs2bZSRkaEOHTpIkjIzM2W329WyZUtJF6/JyszMVExMjCQpIyNDbdq0kY%2BPjyIiIrRkyRIVFxebR60yMjLMa85cERoaWiGQORxnVFZWtTvNhQvlVb6N6oA%2BobrzxM83%2B51r6JPrPL1Xnn0CU9KhQ4cq3A4iLi5Omzdv1saNG/Xdd98pLS1NGRkZevDBByVJgwcP1rJly7Rt2zbt3btXU6dO1YABAxQQEKCAgAD17t1bU6dO1d69e7Vt2zYtX75cQ4YMkSTFxsaqfv36Sk5O1qFDh7RkyRLt3btX/fr1u%2BbvHQAAeKerOoJls9mqqo5flZ%2Bfr6CgIKexu%2B66S1OmTNGLL76okydP6ne/%2B51efvllNWzYUJJ0zz336MSJE5o8ebJKS0t11113ady4cebyycnJmjp1qoYOHapatWppzJgxuuuuuyRJvr6%2BeuGFF5SSkqI%2Bffrolltu0aJFi7jJKAAAcJnNuNzFVZfRsmVL3X333U73vNq8ebPi4uJUs6bz%2BU2r74NVHTgcZ6ps3Xa7j4KDa6qg4JxHHy51t%2Brep57zP3F3CfAQ7/y1k7tLMFX3/c4q9Ml1V9urkJAbr0FVFbl8BKt9%2B/YVbj0QFRWlgoICFRQUWF4YAACAt3I5YF3Le18BAAB4M4%2B/yB0AAMDbELAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAi9ndXQDgqXrO/8TdJQAAvBRHsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIt5bMB6//331aJFC6dHUlKSJOnAgQPq37%2B/IiIi1LdvX%2B3fv99p2S1btqh79%2B6KiIhQQkKCfvjhB3POMAzNnTtXHTt2VGxsrFJTU1VeXm7OFxQUaMyYMYqKilJcXJw2bdp0bd4wAACoNjw2YGVnZ6tbt27asWOH%2BZgxY4bOnz%2BvkSNHKiYmRm%2B%2B%2BaaioqI0atQonT9/XpK0d%2B9epaSkKDExUenp6Tp9%2BrSSk5PN9a5YsUJbtmxRWlqaFi5cqM2bN2vFihXmfHJyss6cOaP09HQ99thjevLJJ7V3795r/v4BAID38tiAdfjwYTVv3lwhISHmIygoSFu3bpWfn5/Gjx%2BvZs2aKSUlRTVr1tS7774rSVq9erV69uyp3r17q2XLlkpNTdWHH36oY8eOSZJWrVqlpKQkxcTEqGPHjnriiSe0Zs0aSdLRo0e1fft2zZgxQ82bN1f//v1177336rXXXnNbHwAAgPfx6IDVuHHjCuNZWVmKjo6WzWaTJNlsNrVr106ZmZnmfExMjPn6%2BvXrKzw8XFlZWcrNzdWpU6fUvn17cz46OlonTpxQXl6esrKyVL9%2BfTVs2NBpfs%2BePVX0LgEAQHVkd3cBl2MYhr755hvt2LFDixcv1oULFxQfH6%2BkpCQ5HA7deuutTq%2BvW7euDh06JEnKy8tTaGhohfmcnBw5HA5JcpqvV6%2BeJJnzl1s2Nzf3qurPy8szt3WJ3R5YYd1W8fX1cfqKy6NPuF7Y7Z7zGWe/cw19cp239MojA9bJkydVVFSkGjVqaP78%2BTp%2B/LhmzJih4uJic/znatSoodLSUklScXHxr84XFxebz38%2BJ0mlpaVXXLer0tPTlZaW5jSWkJBgXqRfVYKCAqp0/dUFfUJ1Fxxc090lVMB%2B5xr65DpP75VHBqwGDRpo165duummm2Sz2dSqVSuVl5dr3Lhxio2NrRB4SktL5e/vL0ny8/O77HxAQIBTmPLz8zP/W5ICAgJ%2BddlL63bVwIEDFRcX5zRmtweqoODcVa3HVb6%2BPgoKCtDp00W6cKH8ygtcp%2BgTrhdV9b2mMtjvXEOfXHe1vXLXDxweGbAkqXbt2k7PmzVrppKSEoWEhCg/P99pLj8/3zz9FhYWdtn5kJAQhYWFSZIcDod5ndWlU3mX5n9t2asRGhpa4XSgw3FGZWVVu9NcuFBe5duoDugTqjtP/Hyz37mGPrnO03vlkScwP/74Y3Xo0EFFRUXm2FdffaXatWubF50bhiHp4vVaX3zxhSIiIiRJERERysjIMJc7deqUTp06pYiICIWFhSk8PNxpPiMjQ%2BHh4QoNDVVkZKROnDihnJwcp/nIyMiqfssAAKAa8ciAFRUVJT8/Pz355JM6cuSIPvzwQ6WmpuqRRx5RfHy8Tp8%2BrZkzZyo7O1szZ85UUVGRevbsKUkaNGiQNm3apPXr1%2BvgwYMaP368unbtqkaNGpnzc%2BfO1a5du7Rr1y7NmzdPQ4YMkSQ1atRInTt31rhx43Tw4EGtX79eW7Zs0QMPPOC2XgAAAO/jkacIa9WqpWXLlmnWrFnq27evatasqT//%2Bc965JFHZLPZtHjxYk2ZMkWvv/66WrRooSVLligwMFDSxXA2ffp0LVy4UD/%2B%2BKM6deqkp59%2B2lz3iBEj9P333ysxMVG%2Bvr7q16%2Bfhg0bZs6npqYqJSVFAwYMUEhIiGbNmqW2bdte6xYAAAAvZjMunWtDlXI4zlTZuu12HwUH11RBwTmPPh/tblfbp57zP7kGVQHWe%2BevndxdgonvT66hT6672l6FhNx4DaqqyCNPEQIAAHgzAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFvPYgJWbm6ukpCTFxsaqS5cumj17tkpKSiRJM2bMUIsWLZweq1evNpfdsmWLunfvroiICCUkJOiHH34w5wzD0Ny5c9WxY0fFxsYqNTVV5eXl5nxBQYHGjBmjqKgoxcXFadOmTdfuTQMAgGrB7u4CLscwDCUlJSkoKEhr1qzRjz/%2BqEmTJsnHx0cTJkzQ4cOHNXbsWN1///3mMrVq1ZIk7d27VykpKZo2bZpatmypmTNnKjk5WYsXL5YkrVixQlu2bFFaWprKyso0btw41a1bVyNGjJAkJScnq7i4WOnp6crKytKTTz6pJk2aqG3btte%2BEQAAwCt5ZMA6cuSIMjMz9cknn6hevXqSpKSkJP397383A9aIESMUEhJSYdnVq1erZ8%2Be6t27tyQpNTVV3bp107Fjx9SoUSOtWrVKSUlJiomJkSQ98cQTWrBggUaMGKGjR49q%2B/bt%2BuCDD9SwYUM1b95cmZmZeu211whYAADAZR55ijAkJEQvv/yyGa4uOXv2rM6ePavc3Fw1btz4sstmZWWZ4UmS6tevr/DwcGVlZSk3N1enTp1S%2B/btzfno6GidOHFCeXl5ysrKUv369dWwYUOn%2BT179lj7BgEAQLXmkQErKChIXbp0MZ%2BXl5dr9erV6tixow4fPiybzaaXXnpJd9xxh%2B6991794x//MF%2Bbl5en0NBQp/XVrVtXOTk5cjgckuQ0fynEXZq/3LK5ubmWv0cAAFB9eeQpwl%2BaM2eODhw4oDfeeENffvmlbDabmjZtqgcffFC7d%2B/WU089pVq1aunOO%2B9UcXGxatSo4bR8jRo1VFpaquLiYvP5z%2BckqbS0VEVFRb%2B67NXIy8szw9wldntghfBmFV9fH6evuDz6hOuF3e45n3H2O9fQJ9d5S688PmDNmTNHK1eu1HPPPafmzZvrd7/7nbp166batWtLklq2bKlvv/1Wa9eu1Z133ik/P78Kgai0tFQBAQFOYcrPz8/8b0kKCAj41WX9/f2vqub09HSlpaU5jSUkJCgpKemq1nO1goICqnT91QV9QnUXHFzT3SVUwH7nGvrkOk/vlUcHrKefflpr167VnDlz1KNHD0mSzWYzw9UlTZs21c6dOyVJYWFhys/Pd5rPz89XSEiIwsLCJEkOh8O8zurSkaZL87%2B27NUYOHCg4uLinMbs9kAVFJy7qvW4ytfXR0FBATp9ukgXLpRfeYHrFH3C9aKqvtdUBvuda%2BiT6662V%2B76gcNjA1ZaWprWrVunZ599VvHx8eb4ggULtGfPHr3yyivm2MGDB9W0aVNJUkREhDIyMtSnTx9J0qlTp3Tq1ClFREQoLCxM4eHhysjIMANWRkaGwsPDFRoaqsjISJ04cUI5OTm6%2BeabzfnIyMirqj00NLTC6UCH44zKyqp2p7lwobzKt1Ed0CdUd574%2BWa/cw19cp2n98ojA9bhw4f1wgsvaOTIkYqOjna6nqlbt25asmSJli1bpjvvvFM7duzQxo0btWrVKknSoEGD9NBDDykyMlJt2rTRzJkz1bVrVzVq1Micnzt3rhmg5s2bp%2BHDh0uSGjVqpM6dO2vcuHFKSUnRvn37tGXLFqebmAIAAFyJRwasDz74QBcuXNCLL76oF1980WnuX//6lxYsWKCFCxdqwYIFatCggebNm6eoqChJUlRUlKZPn66FCxfqxx9/VKdOnfT000%2Bby48YMULff/%2B9EhMT5evrq379%2BmnYsGHmfGpqqlJSUjRgwACFhIRo1qxZ3AMLAABcFZthGIa7i7geOBxnqmzddruPgoNrqqDgnEcfLnW3q%2B1Tz/mfXIOqAOu989dO7i7BxPcn19An111tr0JCbrwGVVXk2b/jCAAA4IUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMXs7i4Av03P%2BZ%2B4uwSXvfPXTu4uAQCAa4KABQDVDD94Ae7HKUIAAACLEbAAAAAsRsACAACwGNdg4ZrxputCAAD4LTiCBQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDEC1mWUlJRo0qRJiomJUefOnbV8%2BXJ3lwQAALyI3d0FeKLU1FTt379fK1eu1MmTJzVhwgSFh4crPj7e3aUBAAAvQMD6hfPnz2v9%2BvVaunSpWrdurdatW%2BvQoUNas2YNAQsAALiEU4S/cPDgQZWVlSkqKsoci46OVlZWlsrLy91YGQAA8BYcwfoFh8Oh4OBg1ahRwxyrV6%2BeSkpKVFhYqDp16lxxHXl5eXI4HE5jdnugQkNDLa8XALyZ3c7P%2BZLk6%2Bvj9BW/zlt6RcD6haKiIqdwJcl8Xlpa6tI60tPTlZaW5jSWmJioMWPGWFPkz/xzZrzy8vKUnp6ugQMHEuL%2BA/rkGvrkGvrkGvrkmry8PK1c%2BTJ9coG39Mqz458b%2BPn5VQhSl577%2B/u7tI6BAwfqzTffdHoMHDjQ8lovcTgcSktLq3DUDM7ok2vok2vok2vok2vok%2Bu8pVccwfqFsLAwFRQUqKysTHb7xfY4HA75%2B/srKCjIpXWEhoZ6dKoGAABViyNYv9CqVSvZ7XZlZmaaYxkZGWrTpo18fGgXAAC4MhLDLwQEBKh3796aOnWq9u7dq23btmn58uUaMmSIu0sDAABewnfq1KlT3V2Ep%2BnYsaMOHDigefPm6bPPPtOjjz6qvn37urus/6hmzZqKjY1VzZo13V2KR6NPrqFPrqFPrqFPrqFPrvOGXtkMwzDcXQQAAEB1wilCAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwvV1JSokmTJikmJkadO3fW8uXL3V2SRyktLVWvXr20a9cuc%2BzYsWMaNmyYIiMjdffdd2vHjh1urNC9cnNzlZSUpNjYWHXp0kWzZ89WSUmJJPr0c999951GjBihqKgode3aVS%2B//LI5R58ub%2BTIkZo4caL5/MCBA%2Brfv78iIiLUt29f7d%2B/343Vudf777%2BvFi1aOD2SkpIk0aefKy0t1bRp09S%2BfXv9/ve/17PPPqtL90b3hj4RsLxcamqq9u/fr5UrV2rKlClKS0vTu%2B%2B%2B6%2B6yPEJJSYkef/xxHTp0yBwzDEMJCQmqV6%2BeNmzYoPvuu0%2BJiYk6efKkGyt1D8MwlJSUpKKiIq1Zs0bPPfectm/frvnz59OnnykvL9fIkSMVHBysf/zjH5o2bZpefPFFbd68mT79irffflsffvih%2Bfz8%2BfMaOXKkYmJi9OabbyoqKkqjRo3S%2BfPn3Vil%2B2RnZ6tbt27asWOH%2BZgxYwZ9%2BoUZM2bo008/1bJlyzRv3jy9/vrrSk9P954%2BGfBa586dM9q0aWPs3LnTHFu0aJHx4IMPurEqz3Do0CHj3nvvNf70pz8ZzZs3N3v06aefGpGRkca5c%2BfM1w4dOtRYuHChu0p1m%2BzsbKN58%2BaGw%2BEwxzZv3mx07tyZPv1Mbm6u8f/%2B3/8zzpw5Y44lJCQYU6ZMoU%2BXUVBQYNxxxx1G3759jQkTJhiGYRjr16834uLijPLycsMwDKO8vNy48847jQ0bNrizVLcZO3asMW/evArj9OnfCgoKjNtuu83YtWuXObZ48WJj4sSJXtMnjmB5sYMHD6qsrExRUVHmWHR0tLKyslReXu7Gytzv888/V4cOHZSenu40npWVpdtuu02BgYHmWHR0tDIzM691iW4XEhKil19%2BWfXq1XMaP3v2LH36mdDQUM2fP1%2B1atWSYRjKyMjQ7t27FRsbS58u4%2B9//7vuu%2B8%2B3XrrreZYVlaWoqOjZbPZJEk2m03t2rW7bvt0%2BPBhNW7cuMI4ffq3jIwM1apVS7GxsebYyJEjNXv2bK/pEwHLizkcDgUHB6tGjRrmWL169VRSUqLCwkI3VuZ%2BgwcP1qRJkxQQEOA07nA4FBoa6jRWt25d5eTkXMvyPEJQUJC6dOliPi8vL9fq1avVsWNH%2BvQr4uLiNHjwYEVFRalHjx706Rc%2B%2B%2Bwz/fOf/9To0aOdxunTvxmGoW%2B%2B%2BUY7duxQjx491L17d82dO1elpaX06WeOHTumBg0aaOPGjYqPj9cf//hHLVq0SOXl5V7TJ7u7C0DlFRUVOYUrSebz0tJSd5Tk8X6tZ/RLmjNnjg4cOKA33nhDr7zyCn26jIULFyo/P19Tp07V7Nmz%2BTz9TElJiaZMmaLJkyfL39/faY4%2B/dvJkyfNfsyfP1/Hjx/XjBkzVFxcTJ9%2B5vz58/ruu%2B%2B0bt06zZ49Ww6HQ5MnT1ZAQIDX9ImA5cX8/PwqfKAuPf/lNzhc5OfnV%2BHoXmlp6XXfrzlz5mjlypV67rnn1Lx5c/r0K9q0aSPpYph44okn1LdvXxUVFTm95nrtU1pamm6//Xano6KX/Nr3quuxTw0aNNCuXbt00003yWazqVWrViovL9e4ceMUGxtLn/6P3W7X2bNnNW/ePDVo0EDSxXC6du1a3XLLLV7RJwKWFwsLC1NBQYHKyspkt1/8p3Q4HPL391dQUJCbq/NMYWFhys7OdhrLz8%2BvcLj5evL0009r7dq1mjNnjnr06CGJPv1cfn6%2BMjMz1b17d3Ps1ltv1U8//aSQkBAdOXKkwuuvxz69/fbbys/PN68JvfQ/wPfee0%2B9evVSfn6%2B0%2Buv1z5JUu3atZ2eN2vWTCUlJQoJCaFP/yckJER%2Bfn5muJKkJk2a6NSpU4qNjfWKPnENlhdr1aqV7Ha704V9GRkZatOmjXx8%2BKe9nIiICH355ZcqLi42xzIyMhQREeHGqtwnLS1N69at07PPPqt77rnHHKdP/3b8%2BHElJiYqNzfXHNu/f7/q1Kmj6Oho%2BvR/Xn31VW3evFkbN27Uxo0bFRcXp7i4OG3cuFERERHas2ePeQ8jwzD0xRdfXJd9%2Bvjjj9WhQwenI59fffWVateurejoaPr0fyIiIlRSUqJvvvnGHDty5IgaNGjgNZ8n/i/sxQICAtS7d29NnTpVe/fu1bZt27R8%2BXINGTLE3aV5rNjYWNWvX1/Jyck6dOiQlixZor1796pfv37uLu2aO3z4sF544QX95S9/UXR0tBwOh/mgT//Wpk0btW7dWpMmTVJ2drY%2B/PBDzZkzR48%2B%2Bih9%2BpkGDRrolltuMR81a9ZUzZo1dcsttyg%2BPl6nT5/WzJkzlZ2drZkzZ6qoqEg9e/Z0d9nXXFRUlPz8/PTkk0/qyJEj%2BvDDD5WamqpHHnmEPv1M06ZN1bVrVyUnJ%2BvgwYP6%2BOOPtWTJEg0aNMh7%2BuS%2BO0TACufPnzfGjx9vREZGGp07dzZWrFjh7pI8zs/vg2UYhvHtt98aDzzwgHH77bcb99xzj/HJJ5%2B4sTr3Wbx4sdG8efPLPgyDPv1cTk6OkZCQYLRr187o1KmT8eKLL5r34KFPlzdhwgTzPliGYRhZWVlG7969jTZt2hj9%2BvUzvvzySzdW515ff/21MWzYMCMyMtLo1KmT8fzzz5ufJ/r0b6dPnzbGjRtnREZGGv/1X//ldX2yGcb/HWMDAACAJThFCAAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYLH/DxTlp7J1D%2BugAAAAAElFTkSuQmCC"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common8851253719306584515">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">33.1082</td>
<td class="number">13</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">32.9659</td>
<td class="number">12</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">26.1342</td>
<td class="number">12</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">33.3401</td>
<td class="number">12</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">33.1543</td>
<td class="number">12</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">32.9406</td>
<td class="number">12</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">33.0597</td>
<td class="number">11</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">26.1339</td>
<td class="number">11</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">32.9939</td>
<td class="number">11</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">23.5508</td>
<td class="number">11</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (349781)</td>
<td class="number">568751</td>
<td class="number">99.7%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">1432</td>
<td class="number">0.3%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme8851253719306584515">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">-0.305536</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.288113</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.266416</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.245845</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.228006</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">56.2725</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">57.3403</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">58.1999</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">58.2084</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">58.5978</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4">PIC88007.PV<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>496076</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>87.2%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.3%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1432</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>8.4845</td>
</tr>
<tr>
<th>Minimum</th>
<td>-0.66062</td>
</tr>
<tr>
<th>Maximum</th>
<td>36.658</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-5579099094960722859">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAASRJREFUeJzt3bENwjAUQEGCGIkh2ImanRiCncwC6EkghZhwV6dw8/SV2FaWMcY4AC8dt14AzOy09QJ%2Byfl6f%2Bv5x%2B2y0kr4FhMEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBMLfnsV691wV/8kEgSAQCAKBIBAIAoEgEAi7%2BMzrky1rMUEgTDdBTANmYoJAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUCY7j7Innxyt8WPP%2BdigkAQCASBQBAIBIFAEAgEgUCwDzIZeydzEQir2UPsyxhjbL0ImJV3EAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAhPhaoY0HuY4uwAAAAASUVORK5CYII%3D">
</div>
<div class="col-md-12 text-right">
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<div class="row collapse col-md-12" id="descriptives-5579099094960722859">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles-5579099094960722859"
aria-controls="quantiles-5579099094960722859" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram-5579099094960722859" aria-controls="histogram-5579099094960722859"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common-5579099094960722859" aria-controls="common-5579099094960722859"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme-5579099094960722859" aria-controls="extreme-5579099094960722859"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles-5579099094960722859">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>-0.66062</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>-0.49283</td>
</tr>
<tr>
<th>Q1</th>
<td>4.4129</td>
</tr>
<tr>
<th>Median</th>
<td>9.3532</td>
</tr>
<tr>
<th>Q3</th>
<td>12.259</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>14.952</td>
</tr>
<tr>
<th>Maximum</th>
<td>36.658</td>
</tr>
<tr>
<th>Range</th>
<td>37.319</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>7.8459</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>5.0596</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.59633</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>0.72978</td>
</tr>
<tr>
<th>Mean</th>
<td>8.4845</td>
</tr>
<tr>
<th>MAD</th>
<td>4.1777</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>0.12262</td>
</tr>
<tr>
<th>Sum</th>
<td>4826600</td>
</tr>
<tr>
<th>Variance</th>
<td>25.599</td>
</tr>
<tr>
<th>Memory size</th>
<td>4.4 MiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram-5579099094960722859">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzt3XtYVXXe///Xhj2cJBLlkKTXbdqgRgoIqTNqo96WmE6Zx8lKLfvagcNVHkOszDQb1DLDykOap4rMZizG6sq5bMpK88ZAzZwQM4/ApsAjB4H1%2B8PL/WuLB8SFm73383Fd%2B6L9%2Bey11vvNB%2BzFWouNxTAMQwAAADCNl7MLAAAAcDcELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExmdXYBnsJmO3HNj%2BnlZVGzZk3022%2BnVFNjXPPjXyv06X48pVdP6VPynF49pU/JdXoNDb3OKcflDJYb8/KyyGKxyMvL4uxSGhR9uh9P6dVT%2BpQ8p1dP6VPyrF7rg4AFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMquzCwBgjv7zv3Z2CXX2yZPdnV0CADQozmABAACYjIAFAABgMgIWAACAyRpFwKqsrNTAgQO1detWSdLTTz%2Btdu3a1XqMGjXKvk18fHyt%2BVOnTkmSKioqNHXqVMXHx6tHjx5atmyZw/EOHjyoMWPGKCYmRnfddZc2b97sMP/NN99o4MCBio6O1qhRo3Tw4MEG/gwAAAB34vSb3CsqKjRhwgTl5eXZx9LS0jRhwgT788OHD%2BvBBx%2B0B6zCwkKdOHFCGzdulJ%2Bfn/11AQEBkqT09HTt2rVLK1as0JEjRzRlyhRFREQoISFBhmEoMTFRkZGRWrdunTZu3KikpCRt2LBBEREROnLkiBITE5WcnKyePXtq4cKFeuKJJ/TRRx/JYrFco88KAABwZU4NWHv37tWECRNkGIbD%2BHXXXafrrrvO/vzpp59WQkKC%2BvbtK0nKz89XaGioWrVqVWufp0%2Bf1tq1a7VkyRJFRUUpKipKeXl5WrNmjRISErRlyxYdPHhQ7733ngICAtS2bVt9%2B%2B23WrdunZKTk7V27VrdeuutevjhhyVJs2fPVvfu3fXdd9%2Bpa9euDfjZAAAA7sKplwjPhZbMzMyLvubbb7/Vtm3bNH78ePvY3r17ddNNN13w9Xv27FFVVZViY2PtY3FxccrNzVVNTY1yc3N1yy232M92nZvPycmRJOXm5io%2BPt4%2B5%2B/vr6ioKPs8AADA5Tj1DNbIkSMv%2B5rFixfr3nvvVYsWLexj%2Bfn5Kisr04MPPqiff/5ZHTp00NSpU3XTTTfJZrMpODhYPj4%2B9teHhISooqJCpaWlstlsCgsLczhG8%2BbNVVBQIEmXna%2BLoqIi2Ww2hzGrNaDWfhuat7eXw0d3RZ%2Bux2q9dA/u1OuleEqfkuf06il9Sp7Va304/R6sSzl48KC2bNmitLQ0h/F9%2B/bp2LFjGj9%2BvAIDA7VkyRKNGTNG//rXv1RWVuYQriTZn1dWVl50vrKyUpIuO18XmZmZysjIcBhLTExUSkpKnfdhpqAgf6cc91qjT9cRHNykTq9zh17rwlP6lDynV0/pU/KsXq9Eow5Yn332mTp06KCbb77ZYfytt97SmTNn1KTJ2X%2Bk586dq7/85S/atGmTfH19a4Whc8/9/Pzk6%2Bur0tLSWvPnbpa/2PZBQUF1rnvEiBHq06ePw5jVGqCSklN13ocZvL29FBTkr%2BPHy1RdXXNNj30t0afrudz3gjv1eime0qfkOb16Sp%2BS6/Ra1x/ozNaoA9ZXX32l//3f/6017uPj43CWydfXVy1btlRhYaE6d%2B6skpISVVVVyWo9257NZpOfn5%2BCgoIUHh6uvXv3OuyvuLjYfvkuPDxcxcXFteY7dOhQ57rDwsJqXQ602U6oqso5X4DV1TVOO/a1RJ%2Buo671u0OvdeEpfUqe06un9Cl5Vq9XotFeODUMQzt37lTnzp1rjfft21cffvihfez06dP65Zdf1KZNG3Xo0EFWq9XhpvTs7Gx17NhRXl5eio6O1g8//KDy8nKH%2BejoaElSdHS0srOz7XNlZWXavXu3fR4AAOByGm3AOnz4sE6dOlXr8qDFYlGvXr302muvaevWrcrLy9PkyZN1ww036C9/%2BYv8/f01aNAgTZ8%2BXTt27NDGjRu1bNky%2B3todenSRS1atFBqaqry8vK0ePFi7dixQ0OHDpUkDRkyRNu3b9fixYuVl5en1NRUtWzZkrdoAAAAddZoA9avv/4qSbr%2B%2ButrzU2aNEn9%2BvXThAkTNGzYMFVVVWnx4sXy9vaWJKWmpioqKkqjR4/W888/r%2BTkZN15552SJG9vb73%2B%2Buuy2WwaPHiwPvroIy1cuFARERGSpJYtW%2Bq1117TunXrNHToUJWWlmrhwoW8ySgAAKgzi3H%2Bu3yiQdhsJ675Ma1WLwUHN1FJySm3vj5On2f1n/%2B1E6qqn0%2Be7H7JedbU/XhKr57Sp%2BQ6vYaGXnf5FzWARnsGCwAAwFURsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABM1igCVmVlpQYOHKitW7fax2bOnKl27do5PFavXm2fz8rKUt%2B%2BfRUdHa3ExET99ttv9jnDMDR37lx169ZNXbp0UXp6umpqauzzJSUlSk5OVmxsrPr06aP169c71LN7924NGzZM0dHRGjJkiHbt2tWA3QMAAHfj9IBVUVGh8ePHKy8vz2E8Pz9fEyZM0ObNm%2B2PIUOGSJJ27NihtLQ0JSUlKTMzU8ePH1dqaqp92%2BXLlysrK0sZGRlasGCBPv74Yy1fvtw%2Bn5qaqhMnTigzM1OPP/64pk2bph07dkiSTp8%2BrXHjxik%2BPl4ffvihYmNj9eijj%2Br06dPX4LMBAADcgVMD1t69ezV8%2BHAdOHCg1lx%2Bfr5uueUWhYaG2h/%2B/v6SpNWrV6t///4aNGiQ2rdvr/T0dP3nP//RwYMHJUkrV65USkqK4uPj1a1bN02cOFFr1qyRJB04cECbNm3SzJkzFRkZqWHDhunuu%2B/WO%2B%2B8I0nasGGDfH19NXnyZLVt21ZpaWlq0qSJPv3002v0WQEAAK7OqQHru%2B%2B%2BU9euXZWZmekwfvLkSRUWFqp169YX3C43N1fx8fH25y1atFBERIRyc3NVWFioo0eP6rbbbrPPx8XF6fDhwyoqKlJubq5atGihli1bOsx///339n3HxcXJYrFIkiwWizp37qycnByz2gYAAG7O6syDjxw58oLj%2Bfn5slgsevPNN/Xll1%2BqadOmeuihh3TvvfdKkoqKihQWFuawTfPmzVVQUCCbzSZJDvMhISGSZJ%2B/0LaFhYWSJJvNpptvvrnW/PmXMAEAAC7GqQHrYvbt2yeLxaI2bdrogQce0LZt2/TMM88oMDBQd9xxh8rLy%2BXj4%2BOwjY%2BPjyorK1VeXm5//vs56ezN9GVlZRfdVtJl5%2BuiqKjIHvTOsVoDagW7hubt7eXw0V3Rp%2BuxWi/dgzv1eime0qfkOb16Sp%2BSZ/VaH40yYA0aNEi9e/dW06ZNJUnt27fX/v379e677%2BqOO%2B6Qr69vrcBTWVkpf39/hzDl6%2Btr/29J8vf3v%2Bi2fn5%2BknTZ%2BbrIzMxURkaGw1hiYqJSUlLqvA8zBQX5O%2BW41xp9uo7g4CZ1ep079FoXntKn5Dm9ekqfkmf1eiUaZcCyWCz2cHVOmzZttGXLFklSeHi4iouLHeaLi4sVGhqq8PBwSWcv9Z27z%2Brc2aRz8xfb9lL7vpKzTyNGjFCfPn0cxqzWAJWUnKrzPszg7e2loCB/HT9epurqmstv4KLo0/Vc7nvBnXq9FE/pU/KcXj2lT8l1eq3rD3Rma5QB69VXX9X333%2Bvt99%2B2z62Z88etWnTRpIUHR2t7OxsDR48WJJ09OhRHT16VNHR0QoPD1dERISys7PtASs7O1sREREKCwtTTEyMDh8%2BrIKCAt1www32%2BZiYGPu%2BlyxZIsMwZLFYZBiGtm/frscee6zO9YeFhdUKZDbbCVVVOecLsLq6xmnHvpbo03XUtX536LUuPKVPyXN69ZQ%2BJc/q9Uo0ygunvXv31rZt2/TWW2/pwIEDeuedd/TPf/5TDz/8sCTpvvvu0/r167V27Vrt2bNHkydPVq9evdSqVSv7/Ny5c7V161Zt3bpV8%2BbN06hRoyRJrVq1Uo8ePTRp0iTt2bNHa9euVVZWlu6//35JUkJCgo4fP65Zs2Zp7969mjVrlsrKytS/f3/nfDIAAIDLaZRnsDp16qRXX31VCxYs0Kuvvqobb7xR8%2BbNU2xsrCQpNjZWM2bM0IIFC3Ts2DF1795dL7zwgn37sWPH6tdff1VSUpK8vb01dOhQjRkzxj6fnp6utLQ0DR8%2BXKGhoXrxxRfVqVMnSVJgYKAWLVqk5557Tu%2B//77atWunxYsXKyAg4Jp%2BDgAAgOuyGIZhOLsIT2Cznbjmx7RavRQc3EQlJafc%2BvQtfZ7Vf/7XTqiqfj55svsl51lT9%2BMpvXpKn5Lr9Boaep1TjtsoLxECAAC4MgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJjM6uwCgMaq//yvnV0CAMBFcQYLAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkjSJgVVZWauDAgdq6dat9LCcnR3/7298UGxurfv36ae3atQ7b3H333WrXrp3D46effpIkGYahuXPnqlu3burSpYvS09NVU1Nj37akpETJycmKjY1Vnz59tH79eod97969W8OGDVN0dLSGDBmiXbt2NWD3AADA3Tj9T%2BVUVFRowoQJysvLs4/ZbDb9v//3/3TffffppZde0g8//KDU1FSFhoaqV69eqq6u1v79%2B7V69Wq1bt3avl1wcLAkafny5crKylJGRoaqqqo0adIkNW/eXGPHjpUkpaamqry8XJmZmcrNzdW0adN00003qVOnTjp9%2BrTGjRunv/71r3rppZf07rvv6tFHH9Xnn3%2BugICAa/q5AQAArsmpAWvv3r2aMGGCDMNwGN%2B4caNCQkI0fvx4SVLr1q21detWffzxx%2BrVq5cOHTqkM2fOqFOnTvL19a2135UrVyolJUXx8fGSpIkTJ%2BrVV1/V2LFjdeDAAW3atEn//ve/1bJlS0VGRionJ0fvvPOOOnXqpA0bNsjX11eTJ0%2BWxWJRWlqavvzyS3366acaPHhww39SAACAy3PqJcLvvvtOXbt2VWZmpsN4z549NXv27FqvP3nypKSzwaxFixYXDFeFhYU6evSobrvtNvtYXFycDh8%2BrKKiIuXm5qpFixZq2bKlw/z3338vScrNzVVcXJwsFoskyWKxqHPnzsrJybn6hgEAgEdw6hmskSNHXnC8ZcuWDgHo119/1b/%2B9S8lJydLkvLz8/WHP/xBjz76qHbt2qWbbrpJkydPVqdOnWSz2SRJYWFh9u1DQkIkSQUFBbLZbA5zktS8eXMVFhZKOnt58uabb641//tLmAAAAJfi9HuwLqe8vFzJyckKCQnRiBEjJEk///yzjh07pmHDhiklJUXvv/%2B%2BRo8erQ0bNqi8vFyS5OPjY9/Huf%2BurKxUWVmZw9y5%2BcrKSkm67HxdFBUV2YPeOVZrQK1g19C8vb0cProrT%2BnTnVitl14rT1lTT%2BlT8pxePaVPybN6rY9GHbBOnTqlJ554Qvv379c777wjf39/SdILL7yg8vJyBQYGSpKmT5%2Bu7du3a/369frzn/8s6WyYOncJ8Vw48vf3l6%2Bvb62wVFlZKT8/P0m67HxdZGZmKiMjw2EsMTFRKSkpdd6HmYKC/J1y3GvNU/p0B8HBTer0Ok9ZU0/pU/KcXj2lT8mzer0SjTZgnTx5Uo888ogOHDigFStWOPy2oNVqtYcr6ex9Um3atFFhYaHCw8Mlnb3Ud%2B4y47mzSaGhoQoPD1dxcbHDsYqLixUaGipJF52/krNPI0aMUJ8%2BfRzGrNYAlZScqvM%2BzODt7aWgIH8dP16m6uqay2/gojylT3dyue8FT1lTT%2BlT8pxePaVPyXV6resPdGZrlAGrpqZGSUlJOnTokFatWqW2bds6zD/44IPq2rWrkpKS7K//73//q/vvv1/h4eGKiIhQdna2PWBlZ2crIiJCYWFhiomJ0eHDh1VQUKAbbrjBPh8TEyNJio6O1pIlS2QYhiwWiwzD0Pbt2/XYY4/Vuf6wsLBagcxmO6GqKud8AVZX1zjt2NeSp/TpDuq6Tp6ypp7Sp%2BQ5vXpKn5Jn9XolGmXA%2BuCDD7R161a98cYbCgoKsp%2BB%2BsMf/qCmTZuqT58%2BWrhwoTp06KCbbrpJK1eu1IkTJ3TvvfdKku677z7NnTvXHqDmzZunhx9%2BWJLUqlUr9ejRQ5MmTVJaWpp27typrKwsrV69WpKUkJCgefPmadasWfrb3/6m9957T2VlZerfv78TPhMAAMAVNcqA9dlnn6mmpkaPPvqow3iXLl20atUqjRkzRhUVFZo5c6aKi4sVHR2t5cuX2y8bjh07Vr/%2B%2BquSkpLk7e2toUOHasyYMfb9pKenKy0tTcOHD1doaKhefPFFderUSZIUGBioRYsW6bnnntP777%2Bvdu3aafHixbzJKAAAqDOLcf67fKJB2GwnrvkxrVYvBQc3UUnJKbc%2BfdtQffaf/7Vp%2B4KjT57sfsl5vnbdj6f06il9Sq7Ta2jodU45Lr9bCQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmKxeAWvYsGF67733dOLEtf8DxgAAAI1dvQJWt27d9Oabb6pHjx4aP368Nm/eLMMwzK4NAADAJdUrYE2YMEGbNm3S66%2B/Lm9vbyUnJ6tXr1565ZVX9PPPP5tdIwAAgEux1ndDi8Wi7t27q3v37iorK9OqVav0%2Buuva/HixercubNGjx6tO%2B%2B808xaAQAAXEK9A5YkFRUV6aOPPtJHH32kn376SZ07d9a9996rgoICTZs2Tdu2bVNaWppZtQIAALiEegWs9evXa/369dq6dauaNWumQYMGacGCBWrdurX9NS1atNCsWbMIWAAAwOPUK2ClpaWpd%2B/eWrhwoW6//XZ5edW%2BlatNmzZ64IEHrrpAAAAAV1OvgPXll18qODhYpaWl9nC1Y8cORUVFydvbW5LUuXNnde7c2bxKAQAAXES9fovw5MmTSkhI0JIlS%2Bxj48aN0z333KOjR4%2BaVhwAAIArqlfAevHFF/U///M/euihh%2BxjGzZsUIsWLTR79mzTigMAAHBF9QpY//d//6enn35aoaGh9rFmzZpp8uTJ2rJli2nFAQAAuKJ63YNltVp1/PjxWuNlZWW8ozsuqv/8r51dAgAA10S9zmDdfvvtmjlzpg4cOGAfO3jwoGbPnq2ePXuaVhwAAIArqtcZrClTpuihhx5Sv379FBQUJEk6fvy4oqKilJqaamqBAAAArqZeAat58%2Bb6xz/%2BoW%2B%2B%2BUZ5eXmyWq26%2Beab9ac//UkWi8XsGgEAAFxKvf9Ujre3t3r27MklQQAAgPPUK2DZbDbNnz9f27dv15kzZ2rd2P7vf//blOIAAABcUb0C1jPPPKNdu3ZpwIABuu6668yuCQAAwKXVK2Bt2bJFS5cuVXx8vNn1AAAAuLx6vU1DQECAmjdvbkoBlZWVGjhwoLZu3WofO3jwoMaMGaOYmBjddddd2rx5s8M233zzjQYOHKjo6GiNGjVKBw8edJh/%2B%2B231bNnT8XGxmrq1KkqKyuzz1VUVGjq1KmKj49Xjx49tGzZModtL3dsAACAy6lXwLrnnnu0dOlSVVdXX9XBKyoqNH78eOXl5dnHDMNQYmKiQkJCtG7dOt1zzz1KSkrSkSNHJElHjhxRYmKiBg8erA8%2B%2BEDNmjXTE088Yb8P7LPPPlNGRoZmzJihFStWKDc3V3PmzLHvPz09Xbt27dKKFSv03HPPKSMjQ59%2B%2Bmmdjg0AAFAX9bpEWFpaqqysLH3xxRdq1aqVfHx8HOZXrlx52X3s3btXEyZMqHWD/JYtW3Tw4EG99957CggIUNu2bfXtt99q3bp1Sk5O1tq1a3Xrrbfq4YcfliTNnj1b3bt313fffaeuXbtq5cqVGj16tHr37i1Jev755zV27FhNmjRJhmFo7dq1WrJkiaKiohQVFaW8vDytWbNGCQkJlz02AABAXdT7bRoGDhx4VQc%2BF4ieeuopxcTE2Mdzc3N1yy23KCAgwD4WFxennJwc%2B/zv7/3y9/dXVFSUcnJyFB8fr507dyopKck%2BHxMTozNnzmjPnj0yDENVVVWKjY112Pebb76pmpqayx4bAACgLuoVsGbPnn3VBx45cuQFx202m8LCwhzGmjdvroKCgsvOHz9%2BXBUVFQ7zVqtVTZs2VUFBgby8vBQcHOxwxi0kJEQVFRUqLS297LHrqqioSDabzWHMag2ote%2BG5u3t5fARaCys1kt/TXrK166n9Cl5Tq%2Be0qfkWb3WR73PYBUVFen999/Xzz//rKlTp2rbtm2KjIxUmzZtrqqgsrKyWpccfXx8VFlZedn58vJy%2B/MLzRuGccE56ezN9pc7dl1lZmYqIyPDYSwxMVEpKSlXtB%2BzBAX5O%2BW4wMUEBzep0%2Bs85WvXU/qUPKdXT%2BlT8qxer0S9AtYvv/yi4cOHKzAwUIWFhXryySe1YcMGpaam6u2331Z0dHS9C/L19VVpaanDWGVlpfz8/Ozz5weeyspKBQUFydfX1/78/Hl/f39VV1dfcE6S/Pz8LnvsuhoxYoT69OnjMGa1Bqik5NQV7edqeXt7KSjIX8ePl6m6uuaaHhu4lMt9L3jK166n9Cl5Tq%2Be0qfkOr3W9Qc6s9UrYL300kvq27evZs6cqc6dO0uSXn75ZU2ZMkVz587VqlWr6l1QeHi49u7d6zBWXFxsv7wWHh6u4uLiWvMdOnRQ06ZN5evrq%2BLiYrVt21aSVFVVpdLSUoWGhsowDJWUlKiqqkpW69nWbTab/Pz8FBQUdNlj11VYWFitbWy2E6qqcs4XYHV1jdOODVxIXb8ePeVr11P6lDynV0/pU/KsXq9EvQLW9u3btWbNGoc/7Gy1WvXEE09o%2BPDhV1VQdHS0Fi9erPLycvuZo%2BzsbMXFxdnns7Oz7a8vKyvT7t27lZSUJC8vL3Xs2FHZ2dnq2rWrJCknJ0dWq1Xt27e313nuhvhz%2B%2B7YsaO8vLwue%2BzGqP/8r51dAgAAOE%2B97kyrqalRTU3ttHrq1Cl5e3tfVUFdunRRixYtlJqaqry8PC1evFg7duzQ0KFDJUlDhgzR9u3btXjxYuXl5Sk1NVUtW7a0B6qRI0fqrbfe0saNG7Vjxw5Nnz5dw4cPl7%2B/v/z9/TVo0CBNnz5dO3bs0MaNG7Vs2TKNGjWqTscGAACoi3oFrB49emjRokUOIau0tFRz5sxRt27drqogb29vvf7667LZbBo8eLA%2B%2BugjLVy4UBEREZKkli1b6rXXXtO6des0dOhQlZaWauHChfazaQMGDNCjjz6qZ599Vg8//LA6deqkSZMm2fefmpqqqKgojR49Ws8//7ySk5N155131unYAAAAdWExzn%2BnzzooLCzUqFGjdOLECZWWlqpNmzY6fPiwmjZtqtWrV%2BvGG29siFpdms12okH2yyVCuKJPnux%2ByXmr1UvBwU1UUnLKre/t8JQ%2BJc/p1VP6lFyn19DQ65xy3HrdgxUeHq5//vOfysrK0o8//qiamhrdd999uueeexQYGGh2jQAAAC6l3u%2BD5e/vr2HDhplZCwAAgFuoV8A6d1P4xdTlbxECAAC4q3oFrPPvsaqqqtIvv/yin376SaNHjzalMAAAAFdl6t8iXLhw4RX/3T4AAAB3Y%2BpfaLznnnv0ySefmLlLAAAAl2NqwPr%2B%2B%2B%2Bv%2Bo1GAQAAXJ1pN7mfPHlS//3vfzVy5MirLgoAAMCV1StgRUREOPwdQkn6wx/%2BoAceeEB33323KYUBAAC4qnoFrJdeesnsOgAAANxGvQLWtm3b6vza2267rT6HAAAAcFn1ClgPPvig/RLh7/%2BU4fljFotFP/7449XWCAAA4FLqFbDefPNNzZw5U5MmTVKXLl3k4%2BOjnTt3asaMGbr33nt11113mV0nAACAy6jX2zTMnj1bzz77rPr166fg4GA1adJE3bp104wZM/Tuu%2B/qxhtvtD8AAAA8Tb0CVlFR0QXDU2BgoEpKSq66KAAAAFdWr4AVExOjl19%2BWSdPnrSPlZaWas6cOfrTn/5kWnEAAACuqF73YE2bNk2jRo3S7bffrtatW8swDO3fv1%2BhoaFauXKl2TUCAAC4lHoFrLZt22rDhg3KyspSfn6%2BJOn%2B%2B%2B/XgAED5O/vb2qBAAAArqZeAUuSrr/%2Beg0bNkyHDh1Sq1atJJ19N3cAAABPV697sAzt9LOgAAAeJUlEQVTD0Ny5c3Xbbbdp4MCBKigo0JQpU5SWlqYzZ86YXSMAAIBLqVfAWrVqldavX6/nnntOPj4%2BkqS%2Bfftq48aNysjIMLVAAAAAV1OvgJWZmalnn31WgwcPtr97%2B1133aWZM2fq448/NrVAAAAAV1OvgHXo0CF16NCh1nj79u1ls9muuigAAABXVq%2BAdeONN2rnzp21xr/88kv7De8AAACeql6/RTh27Fg9//zzstlsMgxD3377rTIzM7Vq1So9/fTTZtcIAADgUuoVsIYMGaKqqiq98cYbKi8v17PPPqtmzZrpySef1H333Wd2jQAAAC6lXgErKytLCQkJGjFihH777TcZhqHmzZubXRsAAIBLqtc9WDNmzLDfzN6sWTPCFQAAwO/UK2C1bt1aP/30k9m1AAAAuIV6XSJs3769Jk6cqKVLl6p169by9fV1mJ89e7YpxQEAALiiep3B%2BvnnnxUXF6cmTZrIZrPp0KFDDg8zfPjhh2rXrl2tR/v27SVJjz/%2BeK25TZs22bd/%2B%2B231bNnT8XGxmrq1KkqKyuzz1VUVGjq1KmKj49Xjx49tGzZModjHzx4UGPGjFFMTIzuuusubd682ZSeAACAZ6jzGaz09HQlJSUpICBAq1atasiaJJ19Z/iePXvan1dVVWn06NHq1auXJCk/P19z5szRn/70J/trrr/%2BeknSZ599poyMDM2ZM0fNmzdXamqq5syZo2effdbey65du7RixQodOXJEU6ZMUUREhBISEmQYhhITExUZGal169Zp48aNSkpK0oYNGxQREdHgfQMAANdX5zNYy5cvdzgLJEnjxo1TUVGR6UVJkp%2Bfn0JDQ%2B2Pjz76SIZhaOLEiaqsrNShQ4fUsWNHh9ec%2B7uIK1eu1OjRo9W7d2916tRJzz//vNatW6eysjKdPn1aa9euVVpamqKionTHHXfokUce0Zo1ayRJW7Zs0cGDBzVjxgy1bdtWjz76qGJiYrRu3boG6RMAALifOgcswzBqjW3btk0VFRWmFnQhpaWlWrJkiSZMmCAfHx/t27dPFovlgu8aX11drZ07dyo%2BPt4%2BFhMTozNnzmjPnj3as2ePqqqqFBsba5%2BPi4tTbm6uampqlJubq1tuuUUBAQEO8zk5OQ3bJAAAcBv1usn9Wnv33XcVFhamhIQESdK%2BffsUGBioyZMn67vvvtMNN9yg5ORk/eUvf9Hx48dVUVGhsLAw%2B/ZWq1VNmzZVQUGBvLy8FBwcbD/bJUkhISGqqKhQaWmpbDabw7aS1Lx5cxUUFNS53qKiolp/k9FqDai1X8BTWa2X/tnO29vL4aO78pQ%2BJc/p1VP6lDyr1/po9AHLMAytXbtWjzzyiH1s3759Ki8vV48ePTRu3Dh9/vnnevzxx5WZmamQkBBJcghQ555XVlbKMIwLzklSZWWlysrKLrptXWVmZiojI8NhLDExUSkpKXXeB%2BDOgoOb1Ol1QUH%2BDVxJ4%2BApfUqe06un9Cl5Vq9X4ooClsViaag6Lmrnzp0qLCzUgAED7GNPPPGEHnzwQftN7e3bt9cPP/yg999/X0899ZQk1QpElZWV8vf3V3V19QXnpLP3ffn6%2Bqq0tLTWvJ%2BfX51rHjFihPr06eMwZrUGqKTkVJ33Abizy30veHt7KSjIX8ePl6m6uuYaVXXteUqfkuf06il9Sq7Ta11/oDPbFQWsmTNnOrzn1ZkzZzRnzhw1aeJYvJnvg/XVV18pPj7eHqYkycvLy%2BG5JLVp00Z79%2B5V06ZN5evrq%2BLiYrVt21bS2d9ALC0tVWhoqAzDUElJiaqqqmS1nm3fZrPJz89PQUFBCg8P1969ex32XVxcfEWX98LCwmq93mY7oaqqxvsFCFxLdf1eqK6u8YjvG0/pU/KcXj2lT8mzer0SdQ5Yt912W637imJjY1VSUqKSkhLTCztnx44d6ty5s8PY008/LYvF4hDk9uzZo8jISHl5ealjx47Kzs5W165dJUk5OTmyWq3299CyWq3Kycmx3wifnZ2tjh07ysvLS9HR0Vq8eLHKy8vtZ62ys7MVFxfXYD0CAAD3UueAdS3e%2B%2BpC8vLydPfddzuM9enTR%2BPHj1fXrl0VGxurjz/%2BWNnZ2ZoxY4YkaeTIkXr22WcVGRmpsLAwTZ8%2BXcOHD5e//9nrxIMGDdL06dP14osvqqioSMuWLbOHtS5duqhFixZKTU3VE088oU2bNmnHjh28Oz0AAKizRn%2BTe3FxsYKCghzG7rzzTj333HN64403dOTIEf3xj3/U0qVL1bJlS0nSgAEDdPjwYT377LOqrKzUnXfeqUmTJtm3T01N1fTp0zV69GgFBgYqOTlZd955pyTJ29tbr7/%2ButLS0jR48GD9z//8jxYuXMibjAIAgDqzGBd6gyuYzmY70SD77T//6wbZL9CQPnmy%2ByXnrVYvBQc3UUnJKbe%2Bt8NT%2BpQ8p1dP6VNynV5DQ69zynF58woAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATNZoA9bnn3%2Budu3aOTxSUlIkSbt379awYcMUHR2tIUOGaNeuXQ7bZmVlqW/fvoqOjlZiYqJ%2B%2B%2B03%2B5xhGJo7d666deumLl26KD09XTU1Nfb5kpISJScnKzY2Vn369NH69euvTcMAAMBtNNqAtXfvXvXu3VubN2%2B2P2bOnKnTp09r3Lhxio%2BP14cffqjY2Fg9%2BuijOn36tCRpx44dSktLU1JSkjIzM3X8%2BHGlpqba97t8%2BXJlZWUpIyNDCxYs0Mcff6zly5fb51NTU3XixAllZmbq8ccf17Rp07Rjx45r3j8AAHBdjTZg5efnKzIyUqGhofZHUFCQNmzYIF9fX02ePFlt27ZVWlqamjRpok8//VSStHr1avXv31%2BDBg1S%2B/btlZ6erv/85z86ePCgJGnlypVKSUlRfHy8unXrpokTJ2rNmjWSpAMHDmjTpk2aOXOmIiMjNWzYMN1999165513nPZ5AAAArqdRB6zWrVvXGs/NzVVcXJwsFoskyWKxqHPnzsrJybHPx8fH21/fokULRUREKDc3V4WFhTp69Khuu%2B02%2B3xcXJwOHz6soqIi5ebmqkWLFmrZsqXD/Pfff99AXQIAAHfUKAOWYRj6%2BeeftXnzZvXr1099%2B/bV3LlzVVlZKZvNprCwMIfXN2/eXAUFBZKkoqKii87bbDZJcpgPCQmRJPv8hbYtLCw0vUcAAOC%2BrM4u4EKOHDmisrIy%2Bfj4aP78%2BTp06JBmzpyp8vJy%2B/jv%2Bfj4qLKyUpJUXl5%2B0fny8nL789/PSVJlZeVl911XRUVF9jB3jtUaUCu8AZ7Kar30z3be3l4OH92Vp/QpeU6vntKn5Fm91kejDFg33nijtm7dquuvv14Wi0UdOnRQTU2NJk2apC5dutQKPJWVlfLz85Mk%2Bfr6XnDe39/fIUz5%2Bvra/1uS/P39L7rtuX3XVWZmpjIyMhzGEhMT7b8FCXi64OAmdXpdUJB/A1fSOHhKn5Ln9OopfUqe1euVaJQBS5KaNm3q8Lxt27aqqKhQaGioiouLHeaKi4vtZ4fCw8MvOB8aGqrw8HBJks1ms99nde5M07n5i217JUaMGKE%2Bffo4jFmtASopOXVF%2BwHc1eW%2BF7y9vRQU5K/jx8tUXV1zyde6Mk/pU/KcXj2lT8l1eq3rD3Rma5QB66uvvtLEiRP1xRdfyN//bDL%2B8ccf1bRpU8XFxWnJkiUyDEMWi0WGYWj79u167LHHJEnR0dHKzs7W4MGDJUlHjx7V0aNHFR0drfDwcEVERCg7O9sesLKzsxUREaGwsDDFxMTo8OHDKigo0A033GCfj4mJuaL6w8LCal0OtNlOqKqq8X4BAtdSXb8XqqtrPOL7xlP6lDynV0/pU/KsXq9Eo7xwGhsbK19fX02bNk379u3Tf/7zH6Wnp%2BuRRx5RQkKCjh8/rlmzZmnv3r2aNWuWysrK1L9/f0nSfffdp/Xr12vt2rXas2ePJk%2BerF69eqlVq1b2%2Bblz52rr1q3aunWr5s2bp1GjRkmSWrVqpR49emjSpEnas2eP1q5dq6ysLN1///1O%2B1wAAADX0yjPYAUGBuqtt97Siy%2B%2BqCFDhqhJkyb629/%2BpkceeUQWi0WLFi3Sc889p/fff1/t2rXT4sWLFRAQIOlsOJsxY4YWLFigY8eOqXv37nrhhRfs%2Bx47dqx%2B/fVXJSUlydvbW0OHDtWYMWPs8%2Bnp6UpLS9Pw4cMVGhqqF198UZ06dbrWnwIAAODCLIZhGM4uwhPYbCcaZL/953/dIPsFGtInT3a/5LzV6qXg4CYqKTnl1pcePKVPyXN69ZQ%2BJdfpNTT0Oqcct1FeIgQAAHBlBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMZnV2AQA8T//5Xzu7hCvyyZPdnV0CABfDGSwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABM1mgDVmFhoVJSUtSlSxf17NlTs2fPVkVFhSRp5syZateuncNj9erV9m2zsrLUt29fRUdHKzExUb/99pt9zjAMzZ07V926dVOXLl2Unp6umpoa%2B3xJSYmSk5MVGxurPn36aP369deuaQAA4Baszi7gQgzDUEpKioKCgrRmzRodO3ZMU6dOlZeXl6ZMmaL8/HxNmDBB9957r32bwMBASdKOHTuUlpam559/Xu3bt9esWbOUmpqqRYsWSZKWL1%2BurKwsZWRkqKqqSpMmTVLz5s01duxYSVJqaqrKy8uVmZmp3NxcTZs2TTfddJM6dep07T8RAADAJTXKgLVv3z7l5OTo66%2B/VkhIiCQpJSVFf//73%2B0Ba%2BzYsQoNDa217erVq9W/f38NGjRIkpSenq7evXvr4MGDatWqlVauXKmUlBTFx8dLkiZOnKhXX31VY8eO1YEDB7Rp0yb9%2B9//VsuWLRUZGamcnBy98847BCwAAFBnjfISYWhoqJYuXWoPV%2BecPHlSJ0%2BeVGFhoVq3bn3BbXNzc%2B3hSZJatGihiIgI5ebmqrCwUEePHtVtt91mn4%2BLi9Phw4dVVFSk3NxctWjRQi1btnSY//77781tEAAAuLVGGbCCgoLUs2dP%2B/OamhqtXr1a3bp1U35%2BviwWi958803dfvvtuvvuu/WPf/zD/tqioiKFhYU57K958%2BYqKCiQzWaTJIf5cyHu3PyFti0sLDS9RwAA4L4a5SXC882ZM0e7d%2B/WBx98oB9%2B%2BEEWi0Vt2rTRAw88oG3btumZZ55RYGCg7rjjDpWXl8vHx8dhex8fH1VWVqq8vNz%2B/PdzklRZWamysrKLbnslioqK7GHuHKs1oFZ4A%2BAarNaG%2BVnU29vL4aM785RePaVPybN6rY9GH7DmzJmjFStW6JVXXlFkZKT%2B%2BMc/qnfv3mratKkkqX379tq/f7/effdd3XHHHfL19a0ViCorK%2BXv7%2B8Qpnx9fe3/LUn%2B/v4X3dbPz%2B%2BKas7MzFRGRobDWGJiolJSUq5oPwAah%2BDgJg26/6Ag/wbdf2PiKb16Sp%2BSZ/V6JRp1wHrhhRf07rvvas6cOerXr58kyWKx2MPVOW3atNGWLVskSeHh4SouLnaYLy4uVmhoqMLDwyVJNpvNfp/VuTNN5%2BYvtu2VGDFihPr06eMwZrUGqKTk1BXtB0Dj0FDfu97eXgoK8tfx42Wqrq65/AYuzFN69ZQ%2BJdfptaF/QLqYRhuwMjIy9N577%2Bnll19WQkKCffzVV1/V999/r7fffts%2BtmfPHrVp00aSFB0drezsbA0ePFiSdPToUR09elTR0dEKDw9XRESEsrOz7QErOztbERERCgsLU0xMjA4fPqyCggLdcMMN9vmYmJgrqj0sLKzW5UCb7YSqqhrvFyCAi2vo793q6hqP%2BffBU3r1lD4lz%2Br1SjTKgJWfn6/XX39d48aNU1xcnMP9TL1799bixYv11ltv6Y477tDmzZv1z3/%2BUytXrpQk3XfffXrwwQcVExOjjh07atasWerVq5datWpln587d649QM2bN08PP/ywJKlVq1bq0aOHJk2apLS0NO3cuVNZWVkOb2IKAABwORbDMAxnF3G%2BxYsXa968eRec%2B%2B9//6uNGzdqwYIF2r9/v2688UY99dRTuvPOO%2B2v%2BfDDD7VgwQIdO3ZM3bt31wsvvKDg4GBJUnV1tdLT0/Xhhx/K29tbQ4cO1YQJE2SxWCRJv/76q9LS0vTNN98oNDRUTz31lAYOHHjVPdlsJ656HxfSf/7XDbJfAP%2B/T57s3iD7tVq9FBzcRCUlp9z%2BDICn9OopfUqu02to6HVOOW6jDFjuiIAFuC4C1tXzlF49pU/JdXp1VsDidysBAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADCZ1dkFAEBj13/%2B184u4Yp88mR3Z5cAeDzOYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgXUBFRYWmTp2q%2BPh49ejRQ8uWLXN2SQAAwIXwTu4XkJ6erl27dmnFihU6cuSIpkyZooiICCUkJDi7NAAA4AIIWOc5ffq01q5dqyVLligqKkpRUVHKy8vTmjVrCFgAAKBOCFjn2bNnj6qqqhQbG2sfi4uL05tvvqmamhp5eXFVFQDgGlzp72i629/QJGCdx2azKTg4WD4%2BPvaxkJAQVVRUqLS0VM2aNbvsPoqKimSz2RzGrNYAhYWFmV4vAJzPlf6nCpxjtbrXCQwC1nnKysocwpUk%2B/PKyso67SMzM1MZGRkOY0lJSUpOTjanyN/5v1kXv2xZVFSkzMxMjRgxwq3DHX26H0/p1VP6lDynV0/pU/KsXuvDveKiCXx9fWsFqXPP/fz86rSPESNG6MMPP3R4jBgxwvRaL8dmsykjI6PW2TR3Q5/ux1N69ZQ%2BJc/p1VP6lDyr1/rgDNZ5wsPDVVJSoqqqKlmtZz89NptNfn5%2BCgoKqtM%2BwsLCSPMAAHgwzmCdp0OHDrJarcrJybGPZWdnq2PHjtzgDgAA6oTEcB5/f38NGjRI06dP144dO7Rx40YtW7ZMo0aNcnZpAADARXhPnz59urOLaGy6deum3bt3a968efr222/12GOPaciQIc4uq16aNGmiLl26qEmTJs4upUHRp/vxlF49pU/Jc3r1lD4lz%2Br1SlkMwzCcXQQAAIA74RIhAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyApYbqqio0NSpUxUfH68ePXpo2bJlzi6pwXz%2B%2Bedq166dwyMlJcXZZZmmsrJSAwcO1NatW%2B1jBw8e1JgxYxQTE6O77rpLmzdvdmKF5rlQrzNnzqy1vqtXr3ZilfVXWFiolJQUdenSRT179tTs2bNVUVEhyf3W9FK9utOa/vLLLxo7dqxiY2PVq1cvLV261D7nbmt6qV7daU3NZHV2ATBfenq6du3apRUrVujIkSOaMmWKIiIilJCQ4OzSTLd371717t1bL7zwgn3M19fXiRWZp6KiQhMmTFBeXp59zDAMJSYmKjIyUuvWrdPGjRuVlJSkDRs2KCIiwonVXp0L9SpJ%2Bfn5mjBhgu699177WGBg4LUu76oZhqGUlBQFBQVpzZo1OnbsmKZOnSovLy9NnjzZrdb0Ur1OmTLFbda0pqZG48aNU8eOHfWPf/xDv/zyi8aPH6/w8HANHDjQrdb0Ur3%2B9a9/dZs1NRsBy82cPn1aa9eu1ZIlSxQVFaWoqCjl5eVpzZo1bhmw8vPzFRkZqdDQUGeXYqq9e/dqwoQJOv8vWW3ZskUHDx7Ue%2B%2B9p4CAALVt21bffvut1q1bp%2BTkZCdVe3Uu1qt0dn3Hjh3r8uu7b98%2B5eTk6Ouvv1ZISIgkKSUlRX//%2B991%2B%2B23u9WaXqrXcwHLHda0uLhYHTp00PTp0xUYGKjWrVvrT3/6k7KzsxUSEuJWa3qpXs8FLHdYU7NxidDN7NmzR1VVVYqNjbWPxcXFKTc3VzU1NU6srGHk5%2BerdevWzi7DdN999526du2qzMxMh/Hc3FzdcsstCggIsI/FxcUpJyfnWpdomov1evLkSRUWFrrF%2BoaGhmrp0qX2wHHOyZMn3W5NL9WrO61pWFiY5s%2Bfr8DAQBmGoezsbG3btk1dunRxuzW9VK/utKZm4wyWm7HZbAoODpaPj499LCQkRBUVFSotLVWzZs2cWJ25DMPQzz//rM2bN2vRokWqrq5WQkKCUlJSHPp3RSNHjrzguM1mU1hYmMNY8%2BbNVVBQcC3KahAX6zU/P18Wi0VvvvmmvvzySzVt2lQPPfSQw2UIVxEUFKSePXvan9fU1Gj16tXq1q2b263ppXp1pzX9vT59%2BujIkSPq3bu3%2BvXrpxdffNGt1vT3zu91165dbrmmZiBguZmysrJa4eLc88rKSmeU1GCOHDli73f%2B/Pk6dOiQZs6cqfLyck2bNs3Z5TWIi62vu62tdPZSk8ViUZs2bfTAAw9o27ZteuaZZxQYGKg77rjD2eVdlTlz5mj37t364IMP9Pbbb7v1mv6%2B1x9%2B%2BMEt13TBggUqLi7W9OnTNXv2bLf%2BPj2/16ioKLdcUzMQsNyMr69vrW/ic8/9/PycUVKDufHGG7V161Zdf/31slgs6tChg2pqajRp0iSlpqbK29vb2SWaztfXV6WlpQ5jlZWVbre2kjRo0CD17t1bTZs2lSS1b99e%2B/fv17vvvuvS/3DPmTNHK1as0CuvvKLIyEi3XtPze/3jH//olmvasWNHSWd/WWPixIkaMmSIysrKHF7jLmt6fq/bt293yzU1A/dguZnw8HCVlJSoqqrKPmaz2eTn56egoCAnVtYwmjZtKovFYn/etm1bVVRU6NixY06squGEh4eruLjYYay4uLjW5Qh3YLFY7P9on9OmTRsVFhY6qaKr98ILL2j58uWaM2eO%2BvXrJ8l91/RCvbrTmhYXF2vjxo0OYzfffLPOnDmj0NBQt1rTS/V68uRJt1lTsxGw3EyHDh1ktVodbqbMzs5Wx44d5eXlXsv91VdfqWvXrg4/Kf74449q2rSpW91r9nvR0dH64YcfVF5ebh/Lzs5WdHS0E6tqGK%2B%2B%2BqrGjBnjMLZnzx61adPGOQVdpYyMDL333nt6%2BeWXNWDAAPu4O67pxXp1pzU9dOiQkpKSHILErl271KxZM8XFxbnVml6q11WrVrnNmprOgNt55plnjAEDBhi5ubnG559/bnTu3Nn47LPPnF2W6U6cOGH07NnTGD9%2BvJGfn2988cUXRo8ePYzFixc7uzRTRUZGGlu2bDEMwzCqqqqMu%2B66y3jyySeNn376yVi0aJERExNjHD582MlVmuP3vebm5hq33HKLsXTpUuOXX34x1qxZY9x6663G9u3bnVzlldu7d6/RoUMH45VXXjGKioocHu62ppfq1Z3WtKqqyhg8eLDx8MMPG3l5ecYXX3xh/PnPfzbefvttt1vTS/XqTmtqNgKWGzp9%2BrQxefJkIyYmxujRo4exfPlyZ5fUYH766SdjzJgxRkxMjNG9e3fjtddeM2pqapxdlql%2BHzoMwzD2799v3H///catt95qDBgwwPj666%2BdWJ25zu/1888/N/76178aHTt2NBISElz2B4VFixYZkZGRF3wYhnut6eV6dZc1NQzDKCgoMBITE43OnTsb3bt3N9544w37vz/utKaGcele3WlNzWQxjAu8ux8AAADqzb1uygEAAGgECFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJ/j89OAfncGjxhAAAAABJRU5ErkJggg%3D%3D"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common-5579099094960722859">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">-0.627961</td>
<td class="number">10</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.641065</td>
<td class="number">10</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.629139</td>
<td class="number">10</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.631273</td>
<td class="number">10</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.633533</td>
<td class="number">10</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">10.5586</td>
<td class="number">9</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">10.7999</td>
<td class="number">9</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">11.3774</td>
<td class="number">8</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">12.6503</td>
<td class="number">8</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">10.9302</td>
<td class="number">8</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (496065)</td>
<td class="number">568776</td>
<td class="number">99.7%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">1432</td>
<td class="number">0.3%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme-5579099094960722859">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">-0.6606241</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.6606119</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.660593</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.6605755</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.6605741</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">36.4804</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">36.4899</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">36.5068</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">36.5662</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">36.6583</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4">SI88033.PV<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>437790</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>76.9%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.2%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1307</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>39.967</td>
</tr>
<tr>
<th>Minimum</th>
<td>-0.091523</td>
</tr>
<tr>
<th>Maximum</th>
<td>99.626</td>
</tr>
<tr class="alert">
<th>Zeros (%)</th>
<td>2.8%</td>
</tr>
</table>
</div>
</div>
</div>
<div class="col-md-3 collapse in" id="minihistogram-3352135340759940933">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAASFJREFUeJzt3MEJwkAQQFEVS7IIe/JsTxZhT%2Btd5JMVQoK%2Bdw/s5TNJYPY4xhgH4KPT1geAPTtvfYB3l9tj%2Bpnn/brCScAEgSQQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBsLt9EObN7tDYn1nOBIEgEAgCgSAQCAKB4C/WH3JzzHImCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUCwcrsz36zDsh4TBIJAIHjFYpF/vQnFBIFggkzwAT3nF6bOcYwxtj4E7JVXLAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgva74aZ/VHQ8UAAAAASUVORK5CYII%3D">
</div>
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<div class="row collapse col-md-12" id="descriptives-3352135340759940933">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles-3352135340759940933"
aria-controls="quantiles-3352135340759940933" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram-3352135340759940933" aria-controls="histogram-3352135340759940933"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common-3352135340759940933" aria-controls="common-3352135340759940933"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme-3352135340759940933" aria-controls="extreme-3352135340759940933"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles-3352135340759940933">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>-0.091523</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>0.031259</td>
</tr>
<tr>
<th>Q1</th>
<td>0.061585</td>
</tr>
<tr>
<th>Median</th>
<td>61.136</td>
</tr>
<tr>
<th>Q3</th>
<td>69.631</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>76.969</td>
</tr>
<tr>
<th>Maximum</th>
<td>99.626</td>
</tr>
<tr>
<th>Range</th>
<td>99.718</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>69.569</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>34.175</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.8551</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>-1.8123</td>
</tr>
<tr>
<th>Mean</th>
<td>39.967</td>
</tr>
<tr>
<th>MAD</th>
<td>33.19</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>-0.24946</td>
</tr>
<tr>
<th>Sum</th>
<td>22741000</td>
</tr>
<tr>
<th>Variance</th>
<td>1168</td>
</tr>
<tr>
<th>Memory size</th>
<td>4.4 MiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram-3352135340759940933">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzt3XtUlXXe//8XsAM2GCMq8PO07M6WecgAIbXxsJLp4GnSRPNOSy1n7Fsgv1alhjhqHmdAyxxskspTWZGH0dEpm7zvxjLNGgzIMQq1klJkUzCkIohcvz/6eX1npw24/ew2G5%2BPtfZa7s9n78/13m%2B3m5fXdXHtAMuyLAEAAMCYQF8XAAAA0NwQsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQ5fF3ClcLm%2BN75mYGCAWrUK13ffnVJ9vWV8/Ssd/fUeeutd9Nd76K13eaO/UVFXG1nnUrEHy48FBgYoICBAgYEBvi6lWaK/3kNvvYv%2Beg%2B99a7m1F8CFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAY5vB1Abg8iRk7fF1Co735SD9flwAAwM%2BCPVgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMN8FrBOnDihtLQ09e7dWwMGDNDixYtVU1MjSSopKdGkSZMUFxenoUOHavfu3W7P3bNnj4YPH67Y2FhNmDBBJSUlbvNr1qzRgAEDFB8fr5kzZ6q6utqeq6mp0cyZM5WYmKj%2B/ftr1apVbs9taNsAAAAN8UnAsixLaWlpqq6u1vr16/X000/rnXfe0bJly2RZllJSUtSmTRtt2rRJI0aMUGpqqo4dOyZJOnbsmFJSUjRq1Cht3LhRrVq10sMPPyzLsiRJb731lrKzszVv3jytXbtWBQUFysrKsredmZmpAwcOaO3atZozZ46ys7O1Y8cOu67/tG0AAIDGcPhio0eOHFF%2Bfr7ef/99tWnTRpKUlpamP/zhDxo4cKBKSkr02muvKSwsTJ07d9bevXu1adMmTZ06VRs2bNANN9ygBx54QJK0ePFi9evXTx9%2B%2BKH69OmjdevWaeLEiRo0aJAk6cknn9TkyZM1bdo0WZalDRs26Pnnn1ePHj3Uo0cPFRcXa/369Ro8eLA%2B%2BOCD/7htAACAxvDJHqyoqCi98MILdrg67%2BTJkyooKFD37t0VFhZmjyckJCg/P1%2BSVFBQoMTERHvO6XSqR48eys/P17lz5/TJJ5%2B4zcfFxens2bMqKipSUVGR6urqFB8f77Z2QUGB6uvrG9w2AABAY/hkD1ZERIQGDBhg36%2Bvr9fLL7%2Bsvn37yuVyKTo62u3xrVu3VmlpqST9x/mqqirV1NS4zTscDrVs2VKlpaUKDAxUZGSkgoOD7fk2bdqopqZGlZWVDW4bAACgMXwSsH4sKytLBw8e1MaNG7VmzRq3ACRJwcHBqq2tlSRVV1f/5PyZM2fs%2BxebtyzronOSVFtb%2Bx/XvhRlZWVyuVxuYw5H2AXh7XIFBfnXL4E6HP5V7/n%2B%2Bluf/QG99S766z301ruaU399HrCysrK0du1aPf300%2BrSpYtCQkJUWVnp9pja2lqFhoZKkkJCQi4IPLW1tYqIiFBISIh9/8fzTqdT586du%2BicJIWGhja47cbKzc1Vdna221hKSorS0tIuaZ3mJjIy3NcleCQiwunrEpoteutd9Nd76K13NYf%2B%2BjRgzZ8/X6%2B%2B%2BqqysrJ0xx13SJJiYmJ06NAht8eVl5fbe39iYmJUXl5%2BwXy3bt3UsmVLhYSEqLy8XJ07d5Yk1dXVqbKyUlFRUbIsSxUVFaqrq5PD8cNLd7lcCg0NVURERIPbbqyxY8cqKSnJbczhCFNFxalLWqch/pbwTb9%2BbwsKClREhFNVVdU6d67e1%2BU0K/TWu%2Biv99Bb7/JGf331n3ufBazs7Gy99tpreuqppzR48GB7PDY2Vjk5OTpz5oy95ygvL08JCQn2fF5env346upqHTx4UKmpqQoMDFTPnj2Vl5enPn36SJLy8/PlcDjUtWtXST%2Bck5Wfn2%2BfCJ%2BXl6eePXsqMDCwwW03VnR09AWhzOX6XnV1V/Y/Rn99/efO1ftt7U0dvfUu%2Bus99Na7mkN/fbIL5PDhw3r22Wf129/%2BVgkJCXK5XPatd%2B/eatu2rdLT01VcXKycnBwVFhZq9OjRkqTk5GTt379fOTk5Ki4uVnp6ujp06GAHqnHjxunFF1/Uzp07VVhYqLlz5%2Bruu%2B%2BW0%2BmU0%2BnUyJEjNXfuXBUWFmrnzp1atWqVJkyYIEkNbhsAAKAxAqzzV%2Bj8GeXk5Gjp0qUXnfvss8/01VdfKSMjQwUFBerUqZNmzpypX/7yl/Zjdu3apUWLFqm0tFTx8fGaP3%2B%2BOnbs6Lb%2BmjVrVFtbq9tvv11z5syxz8%2Bqrq7W3Llz9be//U0tWrTQ5MmTNWnSJPu5DW3bUy7X95e9xo85HIG6bcl7xtf1ljcf6efrEi6JwxGoyMhwVVSc8vv/STU19Na76K/30Fvv8kZ/o6KuNrLOpfJJwLoSEbAIWPi/6K130V/vobfe1ZwCln%2BdJQ0AAOAHCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGOXxdAADArNuWvOfrEhrtzUf6%2BboEwCvYgwUAAGAYAQsAAMCwJhGwamtrNXz4cO3bt88eW7Bgga6//nq328svv2zPb9%2B%2BXbfeeqtiY2OVkpKi7777zp6zLEtLlixR37591bt3b2VmZqq%2Bvt6er6io0NSpUxUfH6%2BkpCRt3brVrZ6DBw9qzJgxio2NVXJysg4cOODFVw8AAJobnwesmpoaPfrooyouLnYbP3z4sB577DHt3r3bviUnJ0uSCgsLlZGRodTUVOXm5qqqqkrp6en2c1evXq3t27crOztby5cv17Zt27R69Wp7Pj09Xd9//71yc3P10EMPadasWSosLJQknT59WlOmTFFiYqI2b96s%2BPh4Pfjggzp9%2BvTP0A0AANAc%2BDRgHTp0SHfffbeOHj16wdzhw4fVvXt3RUVF2Ten0ylJevnllzVkyBCNHDlSXbt2VWZmpnbt2qWSkhJJ0rp165SWlqbExET17dtXjz/%2BuNavXy9JOnr0qN555x0tWLBAXbp00ZgxY3TnnXfqlVdekSS98cYbCgkJ0fTp09W5c2dlZGQoPDxcO3bs%2BJm6AgAA/J1PA9aHH36oPn36KDc312385MmTOnHihK655pqLPq%2BgoECJiYn2/bZt26pdu3YqKCjQiRMndPz4cd100032fEJCgr755huVlZWpoKBAbdu2VYcOHdzmP/74Y3vthIQEBQQESJICAgLUq1cv5efnm3rZAACgmfPpZRrGjRt30fHDhw8rICBAzz33nN599121bNlS999/v%2B666y5JUllZmaKjo92e07p1a5WWlsrlckmS23ybNm0kyZ6/2HNPnDghSXK5XLruuusumP/xIcz/pKyszK7jPIcj7ILtXq6gIJ8f4b0kDod/1Xu%2Bv/7WZ39Ab3Eenwv4d82pv03yOlhHjhxRQECArr32Wt1777366KOP9Lvf/U4tWrTQbbfdpjNnzig4ONjtOcHBwaqtrdWZM2fs%2B/8%2BJ/1wMn11dfVPPldSg/ONkZubq%2BzsbLexlJQUpaWlNXqN5igyMtzXJXgkIsLp6xKaLXoLPhdwMc2hvx4FrDFjxig5OVnDhg3T1VdfbbomjRw5UoMGDVLLli0lSV27dtWXX36pV199VbfddptCQkIuCDy1tbVyOp1uYSokJMT%2BsyQ5nc6ffG5oaKgkNTjfGGPHjlVSUpLbmMMRpoqKU41eozH8LeGbfv3eFhQUqIgIp6qqqnXuXH3DT0Cj0Vucx%2BcC/p03%2BuurEO9RwOrbt6%2Bee%2B45LV68WL/61a80atQo9evXzz5v6XIFBATY4eq8a6%2B9Vh988IEkKSYmRuXl5W7z5eXlioqKUkxMjKQfDvWdP8/q/OG68/M/9dz/tPalHN6Ljo6%2B4PEu1/eqq7uy/zH66%2Bs/d67eb2tv6ugt/PXvn/eudzWH/nq0C%2BSxxx7TO%2B%2B8o2effVZBQUGaOnWqbrnlFj399NP64osvLruoZ555RpMmTXIbKyoq0rXXXitJio2NVV5enj13/PhxHT9%2BXLGxsYqJiVG7du3c5vPy8tSuXTtFR0crLi5O33zzjUpLS93m4%2BLi7LU//vhjWZYl6Ydrau3fv1%2BxsbGX/boAAMCVweNjTAEBAerXr5%2BysrK0Z88ejR8/XmvXrtXQoUM1fvx4/e1vf/O4qEGDBumjjz7Siy%2B%2BqKNHj%2BqVV17Rli1b9MADD0iS7rnnHm3dulUbNmxQUVGRpk%2BfrltuuUUdO3a055csWaJ9%2B/Zp3759Wrp0qSZMmCBJ6tixo/r3769p06apqKhIGzZs0Pbt2zV%2B/HhJ0uDBg1VVVaWFCxfq0KFDWrhwoaqrqzVkyBCPXw8AALiyXNZJ7mVlZfrLX/6iv/zlL/r888/Vq1cv3XXXXSotLdWsWbP00UcfKSMj45LXvfHGG/XMM89o%2BfLleuaZZ9S%2BfXstXbpU8fHxkqT4%2BHjNmzdPy5cv17/%2B9S/169dP8%2BfPt58/efJkffvtt0pNTVVQUJBGjx7ttkcsMzNTGRkZuvvuuxUVFaVFixbpxhtvlCS1aNFCK1eu1Jw5c/T666/r%2BuuvV05OjsLCwi6nVQAA4AoSYJ0/FnYJtm7dqq1bt2rfvn1q1aqVRo4cqeTkZLfrVm3cuFELFy60ry91pXO5vje%2BpsMRqNuWvGd8XW9585F%2Bvi7hkjgcgYqMDFdFxSm/PxegqaG33jVk2fu%2BLqHR%2BFzAv/NGf6OizP8yXmN4tAcrIyNDgwYN0ooVKzRw4EAFBl54pPH8JRYAAACuNB4FrHfffVeRkZGqrKy0w1VhYaF69OihoKAgSVKvXr3Uq1cvc5UCAAD4CY9Ocj958qQGDx6s559/3h6bMmWKRowYoePHjxsrDgAAwB95FLAWLVqkTp066f7777fH3njjDbVt21aLFy82VhwAAIA/8ihg/eMf/9ATTzxhX5xTklq1aqXp06fbFwMFAAC4UnkUsBwOh6qqqi4Yr66ulge/lAgAANCseBSwBg4cqAULFujo0aP2WElJiRYvXqwBAwYYKw4AAMAfefRbhDNmzND999%2BvO%2B64QxEREZKkqqoq9ejRQ%2Bnp6UYLBAAA8DceBazWrVvrz3/%2Bs/bs2aPi4mI5HA5dd911uvnmm4194TMAAIC/8vircoKCgjRgwAAOCQIAAPyIRwHL5XJp2bJl2r9/v86ePXvBie3/8z//Y6Q4AAAAf%2BRRwPrd736nAwcOaNiwYbr6at98xw8AAEBT5VHA%2BuCDD/TCCy8oMTHRdD0AAAB%2Bz6PLNISFhal169amawEAAGgWPApYI0aM0AsvvKBz586ZrgcAAMDveXSIsLKyUtu3b9ff//53dezYUcHBwW7z69atM1IcAACAP/L4Mg3Dhw83WQcAAECz4VHAWrx4sek6AAAAmg2PzsGSpLKyMmVnZ%2Buxxx7Tt99%2Bqx07dujIkSMmawMAAPBLHgWsr776Sr/%2B9a/15z//WW%2B99ZZOnz6tN954Q8nJySooKDBdIwAAgF/xKGD9/ve/16233qqdO3fqqquukiQ99dRTSkpK0pIlS4wWCAAA4G88Clj79%2B/X/fff7/bFzg6HQw8//LAOHjxorDgAAAB/5FHAqq%2BvV319/QXjp06dUlBQ0GUXBQAA4M88Clj9%2B/fXypUr3UJWZWWlsrKy1LdvX2PFAQAA%2BCOPAtYTTzyhAwcOqH///qqpqdFDDz2kQYMG6euvv9aMGTNM1wgAAOBXPLoOVkxMjLZs2aLt27fr008/VX19ve655x6NGDFCLVq0MF0jAACAX/H4Su5Op1NjxowxWQsAAECz4FHAmjBhwn%2Bc57sIAQCNMWTZ%2B74u4ZK8/fgAX5cAP%2BFRwGrfvr3b/bq6On311Vf6/PPPNXHiRCOFAQAA%2BCuj30W4YsUKlZaWXlZBAAAA/s7j7yK8mBEjRujNN980uSQAAIDfMRqwPv74Yy40CgAArnjGTnI/efKkPvvsM40bN%2B6yiwIAAPBnHgWsdu3auX0PoSRdddVVuvfee3XnnXcaKQwAAMBfeRSwfv/735uuAwAAoNnwKGB99NFHjX7sTTfd5MkmAAAA/JZHAeu%2B%2B%2B6zDxFalmWP/3gsICBAn3766eXWCAAA4Fc8CljPPfecFixYoGnTpql3794KDg7WJ598onnz5umuu%2B7S0KFDTdcJAADgNzy6TMPixYs1e/Zs3XHHHYqMjFR4eLj69u2refPm6dVXX1X79u3tGwAAwJXGo4BVVlZ20fDUokULVVRUXHZRAAAA/syjgBUXF6ennnpKJ0%2BetMcqKyuVlZWlm2%2B%2B2VhxAAAA/sijc7BmzZqlCRMmaODAgbrmmmtkWZa%2B/PJLRUVFad26daZrBAAA8CseBazOnTvrjTfe0Pbt23X48GFJ0vjx4zVs2DA5nU6jBQIAAPgbjwKWJP3iF7/QmDFj9PXXX6tjx46SfriaOwAAwJXOo3OwLMvSkiVLdNNNN2n48OEqLS3VjBkzlJGRobNnz5quEQAAwK94FLBeeuklbd26VXPmzFFwcLAk6dZbb9XOnTuVnZ1ttEAAAAB/41HAys3N1ezZszVq1Cj76u1Dhw7VggULtG3bNqMFAgAA%2BBuPAtbXX3%2Btbt26XTDetWtXuVyuyy4KAADAn3kUsNq3b69PPvnkgvF3333XPuEdAADgSuXRbxFOnjxZTz75pFwulyzL0t69e5Wbm6uXXnpJTzzxhOkaAQAA/IpHASs5OVl1dXX605/%2BpDNnzmj27Nlq1aqVHnnkEd1zzz2mawQAAPArHgWs7du3a/DgwRo7dqy%2B%2B%2B47WZal1q1bm64NAADAL3l0Dta8efPsk9lbtWp1WeGqtrZWw4cP1759%2B%2ByxkpISTZo0SXFxcRo6dKh2797t9pw9e/Zo%2BPDhio2N1YQJE1RSUuI2v2bNGg0YMEDx8fGaOXOmqqur7bmamhrNnDlTiYmJ6t%2B/v1atWuX23Ia2DQAA0BCPAtY111yjzz///LI3XlNTo0cffVTFxcX2mGVZSklJUZs2bbRp0yaNGDFCqampOnbsmCTp2LFjSklJ0ahRo7Rx40a1atVKDz/8sCzLkiS99dZbys7O1rx587R27VoVFBQoKyvLXj8zM1MHDhzQ2rVrNWfOHGVnZ2vHjh2N2jYAAEBjeHSIsGvXrnr88cf1wgsv6JprrlFISIjb/OLFixtc49ChQ3rsscfsYHTeBx98oJKSEr322msKCwtT586dtXfvXm3atElTp07Vhg0bdMMNN%2BiBBx6wt9WvXz99%2BOGH6tOnj9atW6eJEydq0KBBkqQnn3xSkydP1rRp02RZljZs2KDnn39ePXr0UI8ePVRcXKz169dr8ODBDW4bAACgMTzag/XFF18oISFB4eHhcrlc%2Bvrrr91ujXE%2BEOXm5rqNFxQUqHv37goLC7PHEhISlJ%2Bfb88nJibac06nUz169FB%2Bfr7OnTunTz75xG0%2BLi5OZ8%2BeVVFRkYqKilRXV6f4%2BHi3tQsKClRfX9/gtgEAABqj0XuwMjMzlZqaqrCwML300kuXveFx48ZddNzlcik6OtptrHXr1iotLW1wvqqqSjU1NW7zDodDLVu2VGlpqQIDAxUZGWl/vY8ktWnTRjU1NaqsrGxw2wAAAI3R6IC1evVqTZ482W3vzpQpU7RgwYILQsnlqK6udgtAkhQcHKza2toG58%2BcOWPfv9i8ZVkXnZN%2BONm%2BoW03VllZ2QVXtHc4woz2SZKCgjzaAekzDod/1Xu%2Bv/7WZ39Ab%2BGveO96V3Pqb6MD1o/PlZKkjz76SDU1NUYLCgkJUWVlpdtYbW2tQkND7fkfB57a2lpFRETY54JdbN7pdOrcuXMXnZOk0NDQBrfdWLm5uRd86XVKSorS0tIuaZ3mJjIy3NcleCQiwunrEpotegt/c/49y3vXu5pDfz06yd2bYmJidOjQIbex8vJye%2B9PTEyMysvLL5jv1q2bWrZsqZCQEJWXl6tz586SpLq6OlVWVioqKkqWZamiokJ1dXVyOH546S6XS6GhoYqIiGhw2401duxYJSUluY05HGGqqDh1Ses0xN8SvunX721BQYGKiHCqqqpa587V%2B7qcZoXewl9VVVXz3vUib3w2%2BOo/900uYMXGxionJ0dnzpyx9xzl5eUpISHBns/Ly7MfX11drYMHDyo1NVWBgYHq2bOn8vLy1KdPH0lSfn6%2BHA6HunbtKumHc7Ly8/PtE%2BHz8vLUs2dPBQYGNrjtxoqOjr4glLlc36uu7sr%2Bx%2Bivr//cuXq/rb2po7fwN%2Bd/6PPe9a7m0N9L2gUSEBDgrTpsvXv3Vtu2bZWenq7i4mLl5OSosLBQo0ePlvTD1/Ts379fOTk5Ki4uVnp6ujp06GAHqnHjxunFF1/Uzp07VVhYqLlz5%2Bruu%2B%2BW0%2BmU0%2BnUyJEjNXfuXBUWFmrnzp1atWqVJkyY0KhtAwAANMYl7cFasGCB2zWvzp49q6ysLIWHu%2B9%2Ba8x1sH5KUFCQnn32WWVkZGjUqFHq1KmTVqxYoXbt2kmSOnTooD/%2B8Y9atGiRVqxYofj4eK1YscIOf8OGDdM333yj2bNnq7a2VrfffrumTZtmr5%2Benq65c%2Bdq4sSJatGihaZOnarbb7%2B9UdsGAABojADrYmevX8R9993X6EVNXMahuXG5vje%2BpsMRqNuWvGd8XW9585F%2Bvi7hkjgcgYqMDFdFxSm/31Xd1NBb7xqy7H1fl9Bsvf34AN67XuSNz4aoqKuNrHOpGr0Hi9AEAADQOP71a2gAAAB%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%2BPC8YAAA0G002YB06dEiDBg3S7t277duCBQt0%2BvRpTZkyRYmJidq8ebPi4%2BP14IMP6vTp05KkwsJCZWRkKDU1Vbm5uaqqqlJ6erq97urVq7V9%2B3ZlZ2dr%2BfLl2rZtm1avXm3Pp6en6/vvv1dubq4eeughzZo1S4WFhT/76wcAAP6ryQasw4cPq0uXLoqKirJvEREReuONNxQSEqLp06erc%2BfOysjIUHh4uHbs2CFJevnllzVkyBCNHDlSXbt2VWZmpnbt2qWSkhJJ0rp165SWlqbExET17dtXjz/%2BuNavXy9JOnr0qN555x0tWLBAXbp00ZgxY3TnnXfqlVde8VkfAACA/2nSAeuaa665YLygoEAJCQkKCAiQJAUEBKhXr17Kz8%2B35xMTE%2B3Ht23bVu3atVNBQYFOnDih48eP66abbrLnExIS9M0336isrEwFBQVq27atOnTo4Db/8ccfe%2BlVAgCA5sjh6wIuxrIsffHFF9q9e7dWrlypc%2BfOafDgwUpLS5PL5dJ1113n9vjWrVuruLhYklRWVqbo6OgL5ktLS%2BVyuSTJbb5NmzaSZM9f7LknTpy4pPrLysrsbZ3ncIRdsPblCgpqsvn4ohwO/6r3fH/9rc/%2BgN7CX/He9a7m1N8mGbCOHTum6upqBQcHa9myZfr666%2B1YMECnTlzxh7/d8HBwaqtrZUknTlz5ifnz5w5Y9//9zlJqq2tbXDtxsrNzVV2drbbWEpKin2S/pUckyDrAAAOi0lEQVQqMjLc1yV4JCLC6esSmi16C39z/j3Le9e7mkN/m2TAat%2B%2Bvfbt26df/OIXCggIULdu3VRfX69p06apd%2B/eFwSe2tpahYaGSpJCQkIuOu90Ot3CVEhIiP1nSXI6nT/53PNrN9bYsWOVlJTkNuZwhKmi4tQlrdMQf0v4pl%2B/twUFBSoiwqmqqmqdO1ff8BPQaPQW/qqqqpr3rhd547PBV/%2B5b5IBS5Jatmzpdr9z586qqalRVFSUysvL3ebKy8vtw28xMTEXnY%2BKilJMTIwkyeVy2edZnT%2BUd37%2Bp557KaKjoy84HOhyfa%2B6uiv7H6O/vv5z5%2Br9tvamjt7C35z/oc9717uaQ3%2Bb5C6Q9957T3369FF1dbU99umnn6ply5b2SeeWZUn64Xyt/fv3KzY2VpIUGxurvLw8%2B3nHjx/X8ePHFRsbq5iYGLVr185tPi8vT%2B3atVN0dLTi4uL0zTffqLS01G0%2BLi7O2y8ZAAA0I00yYMXHxyskJESzZs3SkSNHtGvXLmVmZuo3v/mNBg8erKqqKi1cuFCHDh3SwoULVV1drSFDhkiS7rnnHm3dulUbNmxQUVGRpk%2BfrltuuUUdO3a055csWaJ9%2B/Zp3759Wrp0qSZMmCBJ6tixo/r3769p06apqKhIGzZs0Pbt2zV%2B/Hif9QIAAPifJnmIsEWLFnrxxRe1aNEiJScnKzw8XP/93/%2Bt3/zmNwoICNDKlSs1Z84cvf7667r%2B%2BuuVk5OjsLAwST%2BEs3nz5mn58uX617/%2BpX79%2Bmn%2B/Pn22pMnT9a3336r1NRUBQUFafTo0Zo0aZI9n5mZqYyMDN19992KiorSokWLdOONN/7cLQAAAH4swDp/rA1e5XJ9b3xNhyNQty15z/i63vLmI/18XcIlcTgCFRkZroqKU35/LkBTQ2%2B9a8iy931dQrP19uMDeO96kTc%2BG6KirjayzqVqkocIAQAA/BkBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQ5fFwAATd2QZe/7ugQAfoY9WAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDCHrwsAAMBf3LbkPV%2BXcEnefKSfr0u4YrEHCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwruQOAEAzNWTZ%2B74uodGa21Xn2YN1ETU1NZo5c6YSExPVv39/rVq1ytclAQAAP8IerIvIzMzUgQMHtHbtWh07dkwzZsxQu3btNHjwYF%2BXBjQL/vZ9bgBwqQhYP3L69Glt2LBBzz//vHr06KEePXqouLhY69evJ2ABAIBGIWD9SFFRkerq6hQfH2%2BPJSQk6LnnnlN9fb0CAzmqiqbJn861AIDmjoD1Iy6XS5GRkQoODrbH2rRpo5qaGlVWVqpVq1YNrlFWViaXy%2BU25nCEKTo62mitQUH%2BFfYcDv%2Bql8NYAPDzcTgC7Z9r/vbz7WIIWD9SXV3tFq4k2fdra2sbtUZubq6ys7PdxlJTUzV16lQzRf7/ysrKNPH/KdbYsWONhzdIb/y/vZSbm0t/vaCsrIzeehH99R56611lZWVau/aFZtFf/4%2BIhoWEhFwQpM7fDw0NbdQaY8eO1ebNm91uY8eONV6ry%2BVSdnb2BXvLYAb99R56613013vorXc1p/6yB%2BtHYmJiVFFRobq6OjkcP7TH5XIpNDRUERERjVojOjra75M3AADwHHuwfqRbt25yOBzKz8%2B3x/Ly8tSzZ09OcAcAAI1CYvgRp9OpkSNHau7cuSosLNTOnTu1atUqTZgwwdelAQAAPxE0d%2B7cub4uoqnp27evDh48qKVLl2rv3r36P//n/yg5OdnXZV1UeHi4evfurfDwcF%2BX0izRX%2B%2Bht95Ff72H3npXc%2BlvgGVZlq%2BLAAAAaE44RAgAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIDlp2pqajRz5kwlJiaqf//%2BWrVqla9L8lsnTpxQWlqaevfurQEDBmjx4sWqqamRJJWUlGjSpEmKi4vT0KFDtXv3bh9X69%2BmTJmiJ554wr5/8OBBjRkzRrGxsUpOTtaBAwd8WJ1/qq2t1ZNPPqmbbrpJv/zlL/XUU0/p/PWj6e/lOX78uB588EH16tVLSUlJWrNmjT1Hbz1XW1ur4cOHa9%2B%2BffZYQ5%2B1e/bs0fDhwxUbG6sJEyaopKTk5y77khGw/FRmZqYOHDigtWvXas6cOcrOztaOHTt8XZbfsSxLaWlpqq6u1vr16/X000/rnXfe0bJly2RZllJSUtSmTRtt2rRJI0aMUGpqqo4dO%2Bbrsv3SX//6V%2B3atcu%2Bf/r0aU2ZMkWJiYnavHmz4uPj9eCDD%2Br06dM%2BrNL/LFiwQHv27NGLL76opUuX6vXXX1dubi79NeCRRx5RWFiYNm/erJkzZ2rZsmV6%2B%2B236e1lqKmp0aOPPqri4mJ7rKHP2mPHjiklJUWjRo3Sxo0b1apVKz388MNq8l9EY8HvnDp1yurZs6f1wQcf2GMrVqyw7r33Xh9W5Z8OHTpkdenSxXK5XPbYtm3brP79%2B1t79uyx4uLirFOnTtlzEydOtJYvX%2B6LUv1aRUWFNXDgQCs5OdmaMWOGZVmWtWHDBispKcmqr6%2B3LMuy6uvrrdtuu83atGmTL0v1KxUVFVb37t2tffv22WMrV660nnjiCfp7mSorK60uXbpYn332mT2WmppqPfnkk/TWQ8XFxdadd95p/frXv7a6dOli/wxr6LN22bJlbj/fTp8%2BbcXHx7v9DGyK2IPlh4qKilRXV6f4%2BHh7LCEhQQUFBaqvr/dhZf4nKipKL7zwgtq0aeM2fvLkSRUUFKh79%2B4KCwuzxxMSEpSfn/9zl%2Bn3/vCHP2jEiBG67rrr7LGCggIlJCQoICBAkhQQEKBevXrR30uQl5enFi1aqHfv3vbYlClTtHjxYvp7mUJDQ%2BV0OrV582adPXtWR44c0f79%2B9WtWzd666EPP/xQffr0UW5urtt4Q5%2B1BQUFSkxMtOecTqd69OjR5PtNwPJDLpdLkZGRCg4OtsfatGmjmpoaVVZW%2BrAy/xMREaEBAwbY9%2Bvr6/Xyyy%2Brb9%2B%2Bcrlcio6Odnt869atVVpa%2BnOX6df27t2rf/zjH3r44Yfdxunv5SspKVH79u21ZcsWDR48WL/61a%2B0YsUK1dfX09/LFBISotmzZys3N1exsbEaMmSIBg4cqDFjxtBbD40bN04zZ86U0%2Bl0G2%2Bon/7ab4evC8Clq66udgtXkuz7tbW1viip2cjKytLBgwe1ceNGrVmz5qJ9pseNV1NTozlz5mj27NkKDQ11m/up9zH9bbzTp0/rq6%2B%2B0muvvabFixfL5XJp9uzZcjqd9NeAw4cPa9CgQbr//vtVXFys%2BfPn6%2Babb6a3hjXUT3/tNwHLD4WEhFzwxjp//8c/xNB4WVlZWrt2rZ5%2B%2Bml16dJFISEhF%2BwRrK2tpceXIDs7WzfccIPbXsLzfup9TH8bz%2BFw6OTJk1q6dKnat28v6YcTgl999VV16tSJ/l6GvXv3auPGjdq1a5dCQ0PVs2dPnThxQn/605/UsWNHemtQQ5%2B1P/VZERER8bPV6AkOEfqhmJgYVVRUqK6uzh5zuVwKDQ1t8m%2B4pmr%2B/PlavXq1srKydMcdd0j6oc/l5eVujysvL79gVzV%2B2l//%2Blft3LlT8fHxio%2BP17Zt27Rt2zbFx8fTXwOioqIUEhJihytJ%2Bq//%2Bi8dP36c/l6mAwcOqFOnTm6hqXv37jp27Bi9Nayhfv7UfFRU1M9WoycIWH6oW7ducjgcbif45eXlqWfPngoM5K/0UmVnZ%2Bu1117TU089pWHDhtnjsbGx%2Buc//6kzZ87YY3l5eYqNjfVFmX7ppZde0rZt27RlyxZt2bJFSUlJSkpK0pYtWxQbG6uPP/7Y/lVry7K0f/9%2B%2BnsJYmNjVVNToy%2B%2B%2BMIeO3LkiNq3b09/L1N0dLS%2B%2Buortz0nR44cUYcOHeitYQ191sbGxiovL8%2Beq66u1sGDB5t8v/lp7IecTqdGjhypuXPnqrCwUDt37tSqVas0YcIEX5fmdw4fPqxnn31Wv/3tb5WQkCCXy2XfevfurbZt2yo9PV3FxcXKyclRYWGhRo8e7euy/Ub79u3VqVMn%2BxYeHq7w8HB16tRJgwcPVlVVlRYuXKhDhw5p4cKFqq6u1pAhQ3xdtt%2B49tprdcsttyg9PV1FRUV67733lJOTo3vuuYf%2BXqakpCRdddVVmjVrlr744gv97//%2Br5577jndd9999Nawhj5rk5OTtX//fuXk5Ki4uFjp6enq0KGD%2BvTp4%2BPKG%2BDLa0TAc6dPn7amT59uxcXFWf3797dWr17t65L80sqVK60uXbpc9GZZlvXll19a48ePt2644QZr2LBh1vvvv%2B/jiv3bjBkz7OtgWZZlFRQUWCNHjrR69uxpjR492vrnP//pw%2Br8U1VVlTVt2jQrLi7Ouvnmm60//vGP9vWZ6O/lKS4utiZNmmT16tXLuvXWW63Vq1fTW0P%2B/TpYltXwZ%2B3f//536/bbb7duvPFGa%2BLEidbRo0d/7pIvWYBlNfVLoQIAAPgXDhECAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGH/H%2BfMBhQQpdR0AAAAAElFTkSuQmCC"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common-3352135340759940933">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">0.0</td>
<td class="number">15981</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:3%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">65.3024</td>
<td class="number">10</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">69.2702</td>
<td class="number">9</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">66.3085</td>
<td class="number">8</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">68.0386</td>
<td class="number">8</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">70.6236</td>
<td class="number">8</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">66.22</td>
<td class="number">8</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">66.6972</td>
<td class="number">8</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">71.9837</td>
<td class="number">8</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">67.6304</td>
<td class="number">8</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (437779)</td>
<td class="number">552937</td>
<td class="number">97.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">1307</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme-3352135340759940933">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">-0.0915228</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.0073378</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.00263045</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.00252113</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.00245933</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">99.6094</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">99.6126</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">99.61325</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">99.6232</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">99.6264</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4">SI88034.PV<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>462064</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>81.2%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.2%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1307</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>23.99</td>
</tr>
<tr>
<th>Minimum</th>
<td>-0.042978</td>
</tr>
<tr>
<th>Maximum</th>
<td>98.255</td>
</tr>
<tr class="alert">
<th>Zeros (%)</th>
<td>6.6%</td>
</tr>
</table>
</div>
</div>
</div>
<div class="col-md-3 collapse in" id="minihistogram3594459619245279000">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAARdJREFUeJzt3cEJwjAYgFErjuQQ7uTZnRzCneJd5KMKtUHeuxf%2By0caEsgyxhgH4K3j3gPAzE57D/DqfL1//M3jdtlgErCCQBIIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAmO6FKbbnFa/1rCAQBAJBIBDsQf7AN3sK1rGCQBAIBIFAEAgEgUAQCASBQHAOMplZzzR%2BNddsd76WMcbYewiYlV8sCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCE8MDhRj49ePUwAAAABJRU5ErkJggg%3D%3D">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives3594459619245279000,#minihistogram3594459619245279000"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives3594459619245279000">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles3594459619245279000"
aria-controls="quantiles3594459619245279000" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram3594459619245279000" aria-controls="histogram3594459619245279000"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common3594459619245279000" aria-controls="common3594459619245279000"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme3594459619245279000" aria-controls="extreme3594459619245279000"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles3594459619245279000">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>-0.042978</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>0</td>
</tr>
<tr>
<th>Q1</th>
<td>0.043637</td>
</tr>
<tr>
<th>Median</th>
<td>0.058294</td>
</tr>
<tr>
<th>Q3</th>
<td>66.142</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>75.438</td>
</tr>
<tr>
<th>Maximum</th>
<td>98.255</td>
</tr>
<tr>
<th>Range</th>
<td>98.298</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>66.098</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>33.256</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>1.3862</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>-1.4321</td>
</tr>
<tr>
<th>Mean</th>
<td>23.99</td>
</tr>
<tr>
<th>MAD</th>
<td>31.346</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>0.70371</td>
</tr>
<tr>
<th>Sum</th>
<td>13650000</td>
</tr>
<tr>
<th>Variance</th>
<td>1106</td>
</tr>
<tr>
<th>Memory size</th>
<td>4.4 MiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram3594459619245279000">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzs3XtcVXW%2B//E3sAfY4jCiXI63Rx4tb2QbBNFG7ShHS8tJE81TOWqX0Qrk0U0Labwrc0DLHOxi3tOKQU1HpuyMczyWY5qDAplDg1ppKrApCJUtCOzfH/7cMztNENd2u%2Bz1fDz249H%2Bfvf6rs/6BNs3ey0WPk6n0ykAAAAYxtfbBQAAANxoCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYzOLtAn4q7PZThq/p6%2Bujli2D9N13Z1Rf7zR8fdDja4Eeexb99Tx67HlX0%2BOwsJ97qKrL4xMsE/P19ZGPj498fX28XcoNix57Hj32LPrrefTY88zYYwIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwSzeLgBXJzZ1q7dLaLQPnurr7RIAALgm%2BAQLAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwmFcD1tdff61HH31U0dHRGjBggJYtW%2Baamzt3rrp06eL2WLt2rWs%2BJydHgwYNks1mU2Jior777jvXnNPp1IIFC9SnTx/FxcUpPT1d9fX1rvny8nJNnjxZ0dHRio%2BP1%2BbNm93qOnjwoEaPHi2bzaaEhAQdOHDAg10AAAA3Gq8FrPr6ek2cOFEhISF67733NGvWLL322mvasmWLJOnw4cN69tlntXPnTtcjISFBklRQUKDU1FQlJSUpKytLlZWVSklJca29cuVK5eTkKDMzU4sXL9aWLVu0cuVK13xKSopOnTqlrKwsPfHEE3rxxRdVUFAgSaqqqtLEiRMVGxurjRs3Kjo6WpMmTVJVVdU17A4AADAzrwWssrIydevWTTNnzlSHDh30H//xH7r99tuVm5sr6XzA6t69u8LCwlwPq9UqSVq7dq2GDh2qESNGqGvXrkpPT9eOHTt07NgxSdKaNWuUnJys2NhY9enTR88995zWrVsnSTp69Ki2b9%2BuuXPnqnPnzho9erTuvfdevf3225Kk999/XwEBAZo6dao6deqk1NRUBQUFaevWrV7oEgAAMCOvBazw8HAtWrRIzZs3l9PpVG5urvbu3au4uDidPn1aJSUl6tChwyW3zc/PV2xsrOt569at1aZNG%2BXn56ukpEQnT55Ur169XPMxMTE6fvy4SktLlZ%2Bfr9atW6tdu3Zu8/v373etHRMTIx8fH0mSj4%2BPevbsqby8PA90AQAA3Iiui4vc4%2BPj9eCDDyo6Olp33XWXDh8%2BLB8fH73%2B%2Buu64447dO%2B99%2Bq9995zvb60tFTh4eFua7Rq1UrFxcWy2%2B2S5DYfGhoqSa75S21bUlIiST86X1xcbNwBAwCAG5rF2wVI0uLFi1VWVqaZM2cqLS1NkZGR8vHxUceOHTV27Fjt3btXv/3tb9W8eXMNHjxYZ8%2Belb%2B/v9sa/v7%2Bqqmp0dmzZ13P/3VOkmpqauRwOH50W0kNzjdGaWmpK%2BhdYLE0uyi4XS0/v%2BsiHzeaxWKueqV/9thsvTYTeuxZ9Nfz6LHnmbHH10XA6tGjhySpurpazz33nPbt26eBAweqRYsWkqSuXbvqq6%2B%2B0jvvvKPBgwcrICDgosBTU1Mjq9XqFqYCAgJc/y1JVqv1R7cNDAyUpAbnGyMrK0uZmZluY4mJiUpOTm70GjeikJAgb5fQZMHBVm%2BXcMOjx55Ffz2PHnuemXrstYBVVlamvLw8DRo0yDV2880369y5czp9%2BrRatmzp9vqOHTtq9%2B7dkqSIiAiVlZVdtF5YWJgiIiIknT/Vd%2BE6qwufJl2Y/7FtL7f2lXz6NGbMGMXHx7uNWSzNVF5%2BptFrNIaZkrwkw4//WvDz81VwsFWVlQ7V1dU3vAGuGD32LPrrefTY866mx9764d5rAeubb75RUlKSduzY4QpFBw4cUMuWLfXWW29p//79WrVqlev1hYWF6tixoyTJZrMpNzdXI0eOlCSdPHlSJ0%2BelM1mU0REhNq0aaPc3FxXwMrNzVWbNm0UHh6uqKgoHT9%2BXMXFxfq3f/s313xUVJRr7TfffFNOp1M%2BPj5yOp3at2%2BfHn/88UYfW3h4%2BEWBzG4/pdran/Y3npmPv66u3tT1mwE99iz663n02PPM1GOvfQTSo0cPRUZGatq0aTp06JB27NihjIwMPf744xo4cKD27t2r5cuX6%2BjRo3r77be1adMmPfLII5KkBx54QJs3b1Z2drYKCws1depUDRgwQO3bt3fNL1iwQHv27NGePXu0cOFCjRs3TpLUvn179evXT1OmTFFhYaGys7OVk5Ojhx56SJI0ZMgQVVZWat68eTp06JDmzZsnh8OhoUOHeqdRAADAdHycTqfTWzsvKSnRnDlz9Mknn8hqtWrs2LGaNGmSfHx8tG3bNi1evFhfffWV2rZtq6efflp33nmna9uNGzdq8eLF%2Bv7779W3b1/NmTNHISEhkqS6ujqlp6dr48aN8vPz06hRo/Tss8%2B6br3w7bffKjU1Vbt27VJYWJiefvppDRs2zLV2QUGBZsyYocOHD6tLly6aNWuWunfvflXHarefuqrtL8Vi8dXgBR8bvq6nfPBUX2%2BXcMUsFl%2BFhASpvPyMaX5qMht67Fn01/PoseddTY/Dwn7uoaouz6sB66eEgEXAwqXRY8%2Biv55Hjz3PjAHLXFdJAwAAmAABCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADCYVwPW119/rUcffVTR0dEaMGCAli1b5po7duyYJkyYoKioKN19993auXOn27a7du3SsGHDZLPZNG7cOB07dsxtftWqVerfv7%2Bio6M1bdo0ORwO11x1dbWmTZum2NhY9evXTytWrHDbtqF9AwAAXI7XAlZ9fb0mTpyokJAQvffee5o1a5Zee%2B01bdmyRU6nU4mJiQoNDdWGDRs0fPhwJSUl6cSJE5KkEydOKDExUSNHjtT69evVsmVLPfnkk3I6nZKkDz/8UJmZmZo9e7ZWr16t/Px8ZWRkuPadnp6uAwcOaPXq1ZoxY4YyMzO1detWSWpw3wAAAA2xeGvHZWVl6tatm2bOnKnmzZurQ4cOuv3225Wbm6vQ0FAdO3ZM7777rpo1a6ZOnTrpk08%2B0YYNGzR58mRlZ2fr1ltv1SOPPCJJSktLU9%2B%2BffXpp5%2Bqd%2B/eWrNmjcaPH6%2BBAwdKkmbNmqVHH31UU6ZMkdPpVHZ2tt58801FRkYqMjJSRUVFWrdunYYMGaLdu3dfdt8AAAAN8donWOHh4Vq0aJGaN28up9Op3Nxc7d27V3FxccrPz1f37t3VrFkz1%2BtjYmKUl5cnScrPz1dsbKxrzmq1KjIyUnl5eaqrq9Nnn33mNh8VFaVz586psLBQhYWFqq2tVXR0tNva%2Bfn5qq%2Bvb3DfAAAADfHaJ1j/Kj4%2BXidOnNDAgQN11113af78%2BQoPD3d7TatWrVRcXCxJstvtPzpfWVmp6upqt3mLxaIWLVqouLhYvr6%2BCgkJkb%2B/v2s%2BNDRU1dXVqqiouOzajVVaWiq73e42ZrE0u2jdq%2BXnZ67fUbBYzFWv9M8em63XZkKPPYv%2Beh499jwz9vi6CFiLFy9WWVmZZs6cqbS0NDkcDrcAJEn%2B/v6qqamRpMvOnz171vX8UvNOp/OSc5JUU1PT4L4bIysrS5mZmW5jiYmJSk5ObvQaN6KQkCBvl9BkwcFWb5dww6PHnkV/PY8ee56ZenxdBKwePXpIOv/bfc8995wSEhLcfutPOh9%2BAgMDJUkBAQEXBZ6amhoFBwcrICDA9fyH81arVXV1dZeck6TAwEAFBASooqLiR/fdGGPGjFF8fLzbmMXSTOXlZxq9RmOYKclLMvz4rwU/P18FB1tVWelQXV29t8u5IdFjz6K/nkePPe9qeuytH%2B69epF7Xl6eBg0a5Bq7%2Beabde7cOYWFhenIkSMXvf7CKbaIiAiVlZVdNN%2BtWze1aNFCAQEBKisrU6dOnSRJtbW1qqioUFhYmJxOp8rLy1VbWyuL5fzh2%2B12BQYGKjg4WBERETp06NCP7rsxwsPDL3q93X5KtbU/7W88Mx9/XV29qes3A3rsWfTX8%2Bix55mpx177COSbb75RUlKSSkpKXGMHDhxQy5YtFRMTo88//9x1uk%2BScnNzZbPZJEk2m025ubmuOYfDoYMHD8pms8nX11c9evRwm8/Ly5PFYlHXrl3VrVs3WSwWt4vWc3Nz1aNHD/n6%2Bspms1123wAAAA3xWsDq0aOHIiMjNW3aNB06dEg7duxQRkaGHn/8ccXFxal169ZKSUlRUVGRli5dqoKCAo0aNUqSlJCQoH379mnp0qUqKipSSkqK2rVrp969e0uSHnzwQS1fvlzbtm1TQUGBZs6cqfvvv19Wq1VWq1UjRozQzJkzVVBQoG3btmnFihUaN26cJDW4bwAAgIb4OC/cndMLSkpKNGfOHH3yySeyWq0aO3asJk2aJB8fH3399ddKTU1Vfn6%2BbrrpJk2bNk2//OUvXdvu2LFD8%2BfPV3FxsaKjozVnzhy1b9/eNb906VKtWrVKNTU1uvPOOzVjxgzX9VkOh0MzZ87U//zP/6h58%2BZ69NFHNWHCBNe2De27Kez2U1e1/aVYLL4avOBjw9f1lA%2Be6uvtEq6YxeKrkJAglZefMc3H0mZDjz2L/noePfa8q%2BlxWNjPPVTV5Xk1YP2UELAIWLg0euxZ9Nfz6LHnmTFgmevX0AAAAEyAgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYzGsBq6SkRMnJyYqLi1P//v2Vlpam6upqSdLcuXPVpUsXt8fatWtd2%2Bbk5GjQoEGy2WxKTEzUd99955pzOp1asGCB%2BvTpo7i4OKWnp6u%2Bvt41X15ersmTJys6Olrx8fHavHmzW10HDx7U6NGjZbPZlJCQoAMHDni4EwAA4EbjlYDldDqVnJwsh8OhdevW6eWXX9b27du1aNEiSdLhw4f17LPPaufOna5HQkKCJKmgoECpqalKSkpSVlaWKisrlZKS4lp75cqVysnJUWZmphYvXqwtW7Zo5cqVrvmUlBSdOnVKWVlZeuKJJ/Tiiy%2BqoKBAklRVVaWJEycqNjZWGzduVHR0tCZNmqSqqqpr2B0AAGB2XglYR44cUV5entLS0nTLLbcoNjZWycnJysnJkXQ%2BYHXv3l1hYWGuh9VqlSStXbtWQ4cO1YgRI9S1a1elp6drx44dOnbsmCRpzZo1Sk5OVmxsrPr06aPnnntO69atkyQdPXpU27dv19y5c9W5c2eNHj1a9957r95%2B%2B21J0vvvv6%2BAgABNnTpVnTp1UmpqqoKCgrR161YvdAkAAJiVVwJWWFiYli1bptDQULfx06dP6/Tp0yopKVGHDh0uuW1%2Bfr5iY2Ndz1u3bq02bdooPz9fJSUlOnnypHr16uWaj4mJ0fHjx1VaWqr8/Hy1bt1a7dq1c5vfv3%2B/a%2B2YmBj5%2BPhIknx8fNSzZ0/l5eUZdegAAOAnwOKNnQYHB6t///6u5/X19Vq7dq369Omjw4cPy8fHR6%2B//ro%2B%2BugjtWjRQg8//LDuu%2B8%2BSVJpaanCw8Pd1mvVqpWKi4tlt9slyW3%2BQoi7MH%2BpbUtKSiRJdrtdN99880XzRUVFV3R8paWlrlousFiaXbTvq%2BXnZ67fUbBYzFWv9M8em63XZkKPPYv%2Beh499jwz9tgrAeuHMjIydPDgQa1fv16ff/65fHx81LFjR40dO1Z79%2B7Vb3/7WzVv3lyDBw/W2bNn5e/v77a9v7%2B/ampqdPbsWdfzf52TpJqaGjkcjh/dVlKD842VlZWlzMxMt7HExEQlJydf0To3mpCQIG%2BX0GTBwVZvl3DDo8eeRX89jx57npl67PWAlZGRodWrV%2Bvll19W586ddcstt2jgwIFq0aKFJKlr16766quv9M4772jw4MEKCAi4KPDU1NTIarW6hamAgADXf0uS1Wr90W0DAwMlqcH5xhozZozi4%2BPdxiyWZiovP3NF6zTETElekuHHfy34%2BfkqONiqykqH6urqG94AV4weexb99Tx67HlX02Nv/XDv1YA1Z84cvfPOO8rIyNBdd90l6fx1TxfC1QUdO3bU7t27JUkREREqKytzmy8rK1NYWJgiIiIknT/Vd%2BE6qwun6i7M/9i2l1v7Sk/thYeHX7SN3X5KtbU/7W88Mx9/XV29qes3A3rsWfTX8%2Bix55mpx177CCQzM1PvvvuuXnrpJd1zzz2u8VdeeUUTJkxwe21hYaE6duwoSbLZbMrNzXXNnTx5UidPnpTNZlNERITatGnjNp%2Bbm6s2bdooPDxcUVFROn78uIqLi93mo6KiXGvv379fTqdT0vnbSezbt082m83w4wcAADcurwSsw4cP69VXX9VvfvMbxcTEyG63ux4DBw7U3r17tXz5ch09elRvv/22Nm3apEceeUSS9MADD2jz5s3Kzs5WYWGhpk6dqgEDBqh9%2B/au%2BQULFmjPnj3as2ePFi5cqHHjxkmS2rdvr379%2BmnKlCkqLCxUdna2cnJy9NBDD0mShgwZosrKSs2bN0%2BHDh3SvHnz5HA4NHToUG%2B0CQAAmJSP88LHNdfQ0qVLtXDhwkvOffHFF9q2bZsWL16sr776Sm3bttXTTz%2BtO%2B%2B80/WajRs3avHixfr%2B%2B%2B/Vt29fzZkzRyEhIZKkuro6paena%2BPGjfLz89OoUaP07LPPum698O233yo1NVW7du1SWFiYnn76aQ0bNsy1dkFBgWbMmKHDhw%2BrS5cumjVrlrp3737Vx2y3n7rqNX7IYvHV4AUfG76up3zwVF9vl3DFLBZfhYQEqbz8jGk%2BljYbeuxZ9Nfz6LHnXU2Pw8J%2B7qGqLs8rAeuniIBFwMKl0WPPor%2BeR489z4wBy1y/hgYAAGACBCwAAACDEbAAAAAMRsACAAAwGAELAADAYE0KWKNHj9a7776rU6eM/804AAAAs2tSwOrTp49ef/119evXT88884x27twp7vYAAABwXpMC1rPPPqvt27fr1VdflZ%2BfnyZPnqwBAwbo5Zdf1pdffml0jQAAAKbS5D/27OPjo759%2B6pv375yOBx666239Oqrr2rp0qXq2bOnxo8f73b3dQAAgJ%2BKJgcsSSotLdUf//hH/fGPf9Q//vEP9ezZU/fdd5%2BKi4v14osvau/evUpNTTWqVgAAAFNoUsDavHmzNm/erD179qhly5YaMWKEFi9erA4dOrhe07p1a82bN4%2BABQAAfnKaFLBSU1M1cOBALVmyRHfccYd8fS%2B%2BlKtjx44aO3bsVRcIAABgNk0KWB999JFCQkJUUVHhClcFBQWKjIyUn5%2BfJKlnz57q2bOncZUCAACYRJN%2Bi/D06dMaMmSI3nzzTdfYxIkTNXz4cJ08edKw4gAAAMyoSQFr/vz5uummm/Twww%2B7xt5//321bt1aaWlphhUHAABgRk0KWH/729/0wgsvKCwszDXWsmVLTZ06Vbt37zasOAAAADNqUsCyWCyqrKy8aNzhcHBHdwAA8JPXpIB1xx13aO7cuTp69Khr7NixY0pLS1P//v0NKw4AAMCMmvRbhM8//7wefvhh3XXXXQoODpYkVVZWKjIyUikpKYYWCAAAYDZNClitWrXSe%2B%2B9p127dqmoqEgWi0U333yzbr/9dvn4%2BBhdIwAAgKk0%2BU/l%2BPn5qX///pwSBAAA%2BIEmBSy73a5FixZp3759Onfu3EUXtv/lL38xpDgAAAAzalLA%2Bu1vf6sDBw7onnvu0c9//nOjawIAADC1JgWs3bt3a9myZYqNjTW6HgAAANNr0m0amjVrplatWhldCwAAwA2hSQFr%2BPDhWrZsmerq6oyuBwAAwPSadIqwoqJCOTk5%2Br//%2Bz%2B1b99e/v7%2BbvNr1qwxpDgAAAAzavJtGoYNG2ZkHQAAADeMJgWstLQ0o%2BsAAAC4YTTpGixJKi0tVWZmpp599ll9%2B%2B232rp1q44cOdLo7UtKSpScnKy4uDj1799faWlpqq6ulnT%2B7xpOmDBBUVFRuvvuu7Vz5063bXft2qVhw4bJZrNp3LhxOnbsmNv8qlWr1L9/f0VHR2vatGlyOByuuerqak2bNk2xsbHq16%2BfVqxY4bZtQ/sGAABoSJMC1tdff61f/epXeu%2B99/Thhx%2BqqqpK77//vhISEpSfn9/g9k6nU8nJyXI4HFq3bp1efvllbd%2B%2BXYsWLZLT6VRiYqJCQ0O1YcMGDR8%2BXElJSTpx4oQk6cSJE0pMTNTIkSO1fv16tWzZUk8%2B%2BaTrZqcffvihMjMzNXv2bK1evVr5%2BfnKyMhw7Ts9PV0HDhzQ6tWrNWPGDGVmZmrr1q2uui63bwAAgMZoUsD63e9%2Bp0GDBmnbtm362c9%2BJkl66aWXFB8frwULFjS4/ZEjR5SXl6e0tDTdcsstio2NVXJysnJycrR7924dO3ZMs2fPVqdOnTRp0iRFRUVpw4YNkqTs7GzdeuuteuSRR3TLLbcoLS1Nx48f16effirp/AX248eP18CBA3Xbbbdp1qxZ2rBhgxwOh6qqqpSdna3U1FRFRkZq8ODBeuyxx7Ru3TpJanDfAAAAjdGkgLVv3z49/PDDbn/Y2WKx6Mknn9TBgwcb3D4sLEzLli1TaGio2/jp06eVn5%2Bv7t27q1mzZq7xmJgY5eXlSZLy8/PdbnBqtVoVGRmpvLw81dXV6bPPPnObj4qK0rlz51RYWKjCwkLV1tYqOjrabe38/HzV19c3uG8AAIDGaNJF7vX19aqvr79o/MyZM/Lz82tw%2B%2BDgYLc/El1fX6%2B1a9eqT58%2BstvtCg8Pd3t9q1atVFxcLEmXna%2BsrFR1dbXbvMViUYsWLVRcXCxfX1%2BFhIS43VYiNDRU1dXVqqioaHDfjVVaWiq73e42ZrE0u2jtq%2BXn1%2BRL6LzCYjFXvdI/e2y2XpsJPfYs%2But59NjzzNjjJgWsfv366Y033nC7tqmiokIZGRnq06fPFa%2BXkZGhgwcPav369Vq1atVF99Xy9/dXTU2NJMnhcPzo/NmzZ13PLzXvdDovOSdJNTU1l137SmRlZSkzM9NtLDExUcnJyVe0zo0mJCTI2yU0WXCw1dsl3PDosWfRX8%2Bjx55nph43KWC98MILGjdunPr166fq6mo98cQTOn78uFq0aKHf/e53V7RWRkaGVq9erZdfflmdO3dWQECAKioq3F5TU1OjwMBASVJAQMBFgaempkbBwcEKCAhwPf/hvNVqVV1d3SXnJCkwMLDBfTfWmDFjFB8f7zZmsTRTefmZK1qnIWZK8pIMP/5rwc/PV8HBVlVWOlRXd/Gntrh69Niz6K/n0WPPu5oee%2BuH%2ByYFrIiICG3atEk5OTn6%2B9//rvr6ej3wwAMaPny4mjdv3uh15syZo3feeUcZGRm66667XGsfOnTI7XVlZWWu02sREREqKyu7aL5bt25q0aKFAgICVFZWpk6dOkmSamtrVVFRobCwMDmdTpWXl6u2tlYWy/lDt9vtCgwMVHBwcIP7bqzw8PCLtrHbT6m29qf9jWfm46%2Brqzd1/WZAjz2L/noePfY8M/W4yXdyt1qtGj16dJN3nJmZqXfffVcvvfSShgwZ4hq32WxaunSpzp496/rkKDc3VzExMa753Nxc1%2BsdDocOHjyopKQk%2Bfr6qkePHsrNzVXv3r0lSXl5ebJYLOratauk89dk5eXluS6Ez83NVY8ePeTr69vgvgEAABqjSQFr3Lhxl51v6G8RHj58WK%2B%2B%2BqomTpyomJgYtwvC4%2BLi1Lp1a6WkpOjJJ5/U9u3bVVBQ4Lp7fEJCgpYvX66lS5dq4MCBWrJkidq1a%2BcKVA8%2B%2BKCmT5%2Buzp07Kzw8XDNnztT9998vq/X8edsRI0Zo5syZmj9/vkpLS7VixQrX2g3tGwAAoDGaFLDatm3r9ry2tlZff/21/vGPf2j8%2BPENbv%2BXv/xFdXV1eu211/Taa6%2B5zX3xxRd69dVXlZqaqpEjR%2Bqmm27SkiVL1KZNG0lSu3bt9Pvf/17z58/XkiVLFB0drSVLlrhuGXHPPffo%2BPHjmj59umpqanTnnXdqypQprvVTUlI0c%2BZMjR8/Xs2bN9fkyZN15513SpL8/Pwuu28AAIDG8HFeuAW6AZYsWaLi4mLNmTPHqCVvGHb7KcPXtFh8NXjBx4av6ykfPNXX2yVcMYvFVyEhQSovP2Oa8/5mQ489i/56Hj32vKvpcVjYzz1U1eUZ%2Bmtow4cP1wcffGDkkgAAAKZjaMD2FrO1AAAf/klEQVTav39/o240CgAAcCMz7CL306dP64svvtCDDz541UUBAACYWZMCVps2bdz%2BDqEk/exnP9PYsWN17733GlIYAACAWTUpYF3p3doBAAB%2BSpoUsPbu3dvo1/bq1aspuwAAADCtJgWsX//6165ThP96l4cfjvn4%2BOjvf//71dYIAABgKk0KWK%2B//rrmzp2rKVOmKC4uTv7%2B/vrss880e/Zs3Xfffbr77ruNrhMAAMA0mnSbhrS0NE2fPl133XWXQkJCFBQUpD59%2Bmj27Nl655131LZtW9cDAADgp6ZJAau0tPSS4al58%2BYqLy%2B/6qIAAADMrEkBKyoqSi%2B99JJOnz7tGquoqFBGRoZuv/12w4oDAAAwoyZdg/Xiiy9q3LhxuuOOO9ShQwc5nU599dVXCgsL05o1a4yuEQAAwFSaFLA6deqk999/Xzk5OTp8%2BLAk6aGHHtI999wjq9VqaIEAAABm06SAJUm/%2BMUvNHr0aH3zzTdq3769pPN3cwcAAPipa9I1WE6nUwsWLFCvXr00bNgwFRcX6/nnn1dqaqrOnTtndI0AAACm0qSA9dZbb2nz5s2aMWOG/P39JUmDBg3Stm3blJmZaWiBAAAAZtOkgJWVlaXp06dr5MiRrru333333Zo7d662bNliaIEAAABm06SA9c0336hbt24XjXft2lV2u/2qiwIAADCzJgWstm3b6rPPPrto/KOPPnJd8A4AAPBT1aTfInz00Uc1a9Ys2e12OZ1OffLJJ8rKytJbb72lF154wegaAQAATKVJASshIUG1tbV67bXXdPbsWU2fPl0tW7bUU089pQceeMDoGgEAAEylSQErJydHQ4YM0ZgxY/Tdd9/J6XSqVatWRtcGAABgSk26Bmv27Nmui9lbtmxJuAIAAPgXTQpYHTp00D/%2B8Q%2BjawEAALghNOkUYdeuXfXcc89p2bJl6tChgwICAtzm09LSDCkOAADAjJoUsL788kvFxMRIEve9AgAA%2BIFGB6z09HQlJSWpWbNmeuuttzxZEwAAgKk1%2BhqslStXyuFwuI1NnDhRpaWlhhcFAABgZo0OWE6n86KxvXv3qrq62tCCAAAAzK5Jv0VotJqaGg0bNkx79uxxjc2dO1ddunRxe6xdu9Y1n5OTo0GDBslmsykxMVHfffeda87pdGrBggXq06eP4uLilJ6ervr6etd8eXm5Jk%2BerOjoaMXHx2vz5s1u9Rw8eFCjR4%2BWzWZTQkKCDhw44MGjBwAANxqvB6zq6mo988wzKioqchs/fPiwnn32We3cudP1SEhIkCQVFBQoNTVVSUlJysrKUmVlpVJSUlzbrly5Ujk5OcrMzNTixYu1ZcsWrVy50jWfkpKiU6dOKSsrS0888YRefPFFFRQUSJKqqqo0ceJExcbGauPGjYqOjtakSZNUVVV1DboBAABuBFcUsHx8fAzd%2BaFDh3T//ffr6NGjF80dPnxY3bt3V1hYmOthtVolSWvXrtXQoUM1YsQIde3aVenp6dqxY4eOHTsmSVqzZo2Sk5MVGxurPn366LnnntO6deskSUePHtX27ds1d%2B5cde7cWaNHj9a9996rt99%2BW5L0/vvvKyAgQFOnTlWnTp2UmpqqoKAgbd261dBjBwAAN64ruk3D3Llz3e55de7cOWVkZCgoKMjtdY29D9ann36q3r176%2Bmnn1ZUVJRr/PTp0yopKVGHDh0uuV1%2Bfr5%2B85vfuJ63bt1abdq0UX5%2Bvvz9/XXy5En16tXLNR8TE6Pjx4%2BrtLRU%2Bfn5at26tdq1a%2Bc2/8Ybb7jWjomJcYVJHx8f9ezZU3l5eRo5cmSjjgsAAPy0NTpg9erV66J7XkVHR6u8vFzl5eVN2vmDDz54yfHDhw/Lx8dHr7/%2Buj766CO1aNFCDz/8sO677z5JUmlpqcLDw922adWqlYqLi101/ut8aGioJLnmL7VtSUmJpPP39br55psvmv/hKczLKS0tvahXFkuzi/Z7tfz8vH6G94pYLOaqV/pnj83WazOhx55Ffz2PHnueGXvc6IB1Le99deTIEfn4%2BKhjx44aO3as9u7dq9/%2B9rdq3ry5Bg8erLNnz8rf399tG39/f9XU1Ojs2bOu5/86J52/mN7hcPzotpIanG%2BMrKwsZWZmuo0lJiYqOTm50WvciEJCghp%2B0XUqONjq7RJuePTYs%2Biv59FjzzNTj5t0J3dPGzFihAYOHKgWLVpIOv%2Bneb766iu98847Gjx4sAICAi4KPDU1NbJarW5h6sLpzAuvtVqtP7ptYGCgJDU43xhjxoxRfHy825jF0kzl5WcavUZjmCnJSzL8%2BK8FPz9fBQdbVVnpUF1dfcMb4IrRY8%2Biv55Hjz3vanrsrR/ur8uA5ePj4wpXF3Ts2FG7d%2B%2BWJEVERKisrMxtvqysTGFhYYqIiJB0/lTfheusLpyuuzD/Y9tebu0rOb0XHh5%2B0evt9lOqrf1pf%2BOZ%2Bfjr6upNXb8Z0GPPor%2BeR489z0w9vi4/AnnllVc0YcIEt7HCwkJ17NhRkmSz2ZSbm%2BuaO3nypE6ePCmbzaaIiAi1adPGbT43N1dt2rRReHi4oqKidPz4cRUXF7vNX7jI3mazaf/%2B/a4bqzqdTu3bt082m81ThwsAAG4w12XAGjhwoPbu3avly5fr6NGjevvtt7Vp0yY98sgjkqQHHnhAmzdvVnZ2tgoLCzV16lQNGDBA7du3d80vWLBAe/bs0Z49e7Rw4UKNGzdOktS%2BfXv169dPU6ZMUWFhobKzs5WTk6OHHnpIkjRkyBBVVlZq3rx5OnTokObNmyeHw6GhQ4d6pxkAAMB0rstThLfddpteeeUVLV68WK%2B88oratm2rhQsXKjo6WtL5316cPXu2Fi9erO%2B//159%2B/bVnDlzXNs/%2Buij%2Bvbbb5WUlCQ/Pz%2BNGjXK7ROx9PR0paam6v7771dYWJjmz5%2Bv2267TZLUvHlzvfHGG5oxY4b%2B8Ic/qEuXLlq6dKmaNWt2TXsAAADMy8d5qT8yCMPZ7acMX9Ni8dXgBR8bvq6nfPBUX2%2BXcMUsFl%2BFhASpvPyMac77mw099iz663n02POupsdhYT/3UFWXd12eIgQAADAzAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMK8HrJqaGg0bNkx79uxxjR07dkwTJkxQVFSU7r77bu3cudNtm127dmnYsGGy2WwaN26cjh075ja/atUq9e/fX9HR0Zo2bZocDodrrrq6WtOmTVNsbKz69eunFStWuG3b0L4BAAAa4tWAVV1drWeeeUZFRUWuMafTqcTERIWGhmrDhg0aPny4kpKSdOLECUnSiRMnlJiYqJEjR2r9%2BvVq2bKlnnzySTmdTknShx9%2BqMzMTM2ePVurV69Wfn6%2BMjIyXOunp6frwIEDWr16tWbMmKHMzExt3bq1UfsGAABoDK8FrEOHDun%2B%2B%2B/X0aNH3cZ3796tY8eOafbs2erUqZMmTZqkqKgobdiwQZKUnZ2tW2%2B9VY888ohuueUWpaWl6fjx4/r0008lSWvWrNH48eM1cOBA3XbbbZo1a5Y2bNggh8OhqqoqZWdnKzU1VZGRkRo8eLAee%2BwxrVu3rlH7BgAAaAyvBaxPP/1UvXv3VlZWltt4fn6%2BunfvrmbNmrnGYmJilJeX55qPjY11zVmtVkVGRiovL091dXX67LPP3OajoqJ07tw5FRYWqrCwULW1tYqOjnZbOz8/X/X19Q3uGwAAoDEs3trxgw8%2BeMlxu92u8PBwt7FWrVqpuLi4wfnKykpVV1e7zVssFrVo0ULFxcXy9fVVSEiI/P39XfOhoaGqrq5WRUVFg/turNLSUtntdrcxi6XZRWtfLT8/r19Cd0UsFnPVK/2zx2brtZnQY8%2Biv55Hjz3PjD32WsD6MQ6Hwy0ASZK/v79qamoanD979qzr%2BaXmnU7nJeek8xfbN7TvxsrKylJmZqbbWGJiopKTk69onRtNSEiQt0tosuBgq7dLuOHRY8%2Biv55Hjz3PTD2%2B7gJWQECAKioq3MZqamoUGBjomv9h4KmpqVFwcLACAgJcz384b7VaVVdXd8k5SQoMDGxw3401ZswYxcfHu41ZLM1UXn7mitZpiJmSvCTDj/9a8PPzVXCwVZWVDtXV1Xu7nBsSPfas672/gxd87O0Srsifn%2Bt/0dj13uMbwdX02Fs/3F93ASsiIkKHDh1yGysrK3OdXouIiFBZWdlF8926dVOLFi0UEBCgsrIyderUSZJUW1uriooKhYWFyel0qry8XLW1tbJYzh%2B63W5XYGCggoODG9x3Y4WHh1%2B0jd1%2BSrW1P%2B1vPDMff11dvanrNwN67Fn01xiX6yE99jwz9fi6%2BwjEZrPp888/d53uk6Tc3FzZbDbXfG5urmvO4XDo4MGDstls8vX1VY8ePdzm8/LyZLFY1LVrV3Xr1k0Wi8XtovXc3Fz16NFDvr6%2BDe4bAACgMa67gBUXF6fWrVsrJSVFRUVFWrp0qQoKCjRq1ChJUkJCgvbt26elS5eqqKhIKSkpateunXr37i3p/MXzy5cv17Zt21RQUKCZM2fq/vvvl9VqldVq1YgRIzRz5kwVFBRo27ZtWrFihcaNG9eofQMAADTGdRew/Pz89Oqrr8put2vkyJH64x//qCVLlqhNmzaSpHbt2un3v/%2B9NmzYoFGjRqmiokJLliyRj4%2BPJOmee%2B7RpEmTNH36dD3yyCO67bbbNGXKFNf6KSkpioyM1Pjx4zVr1ixNnjxZd955Z6P2DQAA0Bg%2Bzgu3QIdH2e2nDF/TYvE11QWiHzzV19slXDGLxVchIUEqLz9jmvP%2BZkOPPet67%2B/QRX/1dglX5FLvY9d7j28EV9PjsLCfe6iqy7vuPsECAAAwOwIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABrN4uwAAgLGGLvqrt0sAfvL4BAsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBg123A%2BvOf/6wuXbq4PZKTkyVJBw8e1OjRo2Wz2ZSQkKADBw64bZuTk6NBgwbJZrMpMTFR3333nWvO6XRqwYIF6tOnj%2BLi4pSenq76%2BnrXfHl5uSZPnqzo6GjFx8dr8%2BbN1%2BaAAQDADeO6DViHDh3SwIEDtXPnTtdj7ty5qqqq0sSJExUbG6uNGzcqOjpakyZNUlVVlSSpoKBAqampSkpKUlZWliorK5WSkuJad%2BXKlcrJyVFmZqYWL16sLVu2aOXKla75lJQUnTp1SllZWXriiSf04osvqqCg4JofPwAAMK/rNmAdPnxYnTt3VlhYmOsRHBys999/XwEBAZo6dao6deqk1NRUBQUFaevWrZKktWvXaujQoRoxYoS6du2q9PR07dixQ8eOHZMkrVmzRsnJyYqNjVWfPn303HPPad26dZKko0ePavv27Zo7d646d%2B6s0aNH695779Xbb7/ttT4AAADzua4DVocOHS4az8/PV0xMjHx8fCRJPj4%2B6tmzp/Ly8lzzsbGxrte3bt1abdq0UX5%2BvkpKSnTy5En16tXLNR8TE6Pjx4%2BrtLRU%2Bfn5at26tdq1a%2Bc2v3//fg8dJQAAuBFZvF3ApTidTn355ZfauXOn3njjDdXV1WnIkCFKTk6W3W7XzTff7Pb6Vq1aqaioSJJUWlqq8PDwi%2BaLi4tlt9slyW0%2BNDRUklzzl9q2pKTkiuovLS117esCi6XZRWtfLT%2B/6zYfX5LFYq56pX/22Gy9NhN6DDO51PsYX8OeZ8YeX5cB68SJE3I4HPL399eiRYv0zTffaO7cuTp79qxr/F/5%2B/urpqZGknT27NkfnT979qzr%2Bb/OSVJNTU2DazdWVlaWMjMz3cYSExNdF%2Bn/VIWEBHm7hCYLDrZ6u4QbHj2GGVzufYyvYc8zU4%2Bvy4DVtm1b7dmzR7/4xS/k4%2BOjbt26qb6%2BXlOmTFFcXNxFgaempkaBgYGSpICAgEvOW61WtzAVEBDg%2Bm9JslqtP7rthbUba8yYMYqPj3cbs1iaqbz8zBWt0xAzJXlJhh//teDn56vgYKsqKx2qq6tveANcMXoMM7nU%2Bxhfw553NT321g/312XAkqQWLVq4Pe/UqZOqq6sVFhamsrIyt7mysjLX6beIiIhLzoeFhSkiIkKSZLfbXddZXTiVd2H%2Bx7a9EuHh4RedDrTbT6m29qf9jWfm46%2Brqzd1/WZAj2EGl/sa5WvY88zU4%2BvyI5CPP/5YvXv3lsPhcI39/e9/V4sWLVwXnTudTknnr9fat2%2BfbDabJMlmsyk3N9e13cmTJ3Xy5EnZbDZFRESoTZs2bvO5ublq06aNwsPDFRUVpePHj6u4uNhtPioqytOHDAAAbiDXZcCKjo5WQECAXnzxRR05ckQ7duxQenq6HnvsMQ0ZMkSVlZWaN2%2BeDh06pHnz5snhcGjo0KGSpAceeECbN29Wdna2CgsLNXXqVA0YMEDt27d3zS9YsEB79uzRnj17tHDhQo0bN06S1L59e/Xr109TpkxRYWGhsrOzlZOTo4ceeshrvQAAAOZzXZ4ibN68uZYvX6758%2BcrISFBQUFB%2Bq//%2Bi899thj8vHx0RtvvKEZM2boD3/4g7p06aKlS5eqWbNmks6Hs9mzZ2vx4sX6/vvv1bdvX82ZM8e19qOPPqpvv/1WSUlJ8vPz06hRozRhwgTXfHp6ulJTU3X//fcrLCxM8%2BfP12233XatWwAAAEzMx3nhXBs8ym4/ZfiaFouvBi/42PB1PeWDp/p6u4QrZrH4KiQkSOXlZ0xz3t9s6LHxhi76q7dLuGFd6n2Mr2HPu5oeh4X93ENVXd51eYoQAADAzAhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABrN4uwAAuN4NXfRXb5cAwGQIWAAANJLZwvYHT/X1dgk/WZwiBAAAMBgB6xKqq6s1bdo0xcbGql%2B/flqxYoW3SwIAACbCKcJLSE9P14EDB7R69WqdOHFCzz//vNq0aaMhQ4Z4uzQAAGACBKwfqKqqUnZ2tt58801FRkYqMjJSRUVFWrduHQELAAA0CgHrBwoLC1VbW6vo6GjXWExMjF5//XXV19fL15ezqgAAczDTRfk32gX5BKwfsNvtCgkJkb%2B/v2ssNDRU1dXVqqioUMuWLRtco7S0VHa73W3MYmmm8PBwQ2v18zNX2LNYzFWv9M8em63X17vBCz72dgkArjOX%2BzfCjO/FBKwfcDgcbuFKkut5TU1No9bIyspSZmam21hSUpImT55sTJH/X2lpqcb/W5HGjBljeHjDeaWlpVq9ehk9Ntjf5v3zdHtpaamysrLosYfQX8%2Bjx55nxvdi80TBayQgIOCiIHXheWBgYKPWGDNmjDZu3Oj2GDNmjOG12u12ZWZmXvRpGYxDjz2PHnsW/fU8eux5Zuwxn2D9QEREhMrLy1VbWyuL5Xx77Ha7AgMDFRwc3Kg1wsPDTZOwAQCA8fgE6we6desmi8WivLw811hubq569OjBBe4AAKBRSAw/YLVaNWLECM2cOVMFBQXatm2bVqxYoXHjxnm7NAAAYBJ%2BM2fOnOntIq43ffr00cGDB7Vw4UJ98sknevzxx5WQkODtsi4pKChIcXFxCgoK8nYpNyx67Hn02LPor%2BfRY88zW499nE6n09tFAAAA3Eg4RQgAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyAZVLV1dWaNm2aYmNj1a9fP61YscLbJZlaSUmJkpOTFRcXp/79%2BystLU3V1dWSpGPHjmnChAmKiorS3XffrZ07d3q5WvObOHGiXnjhBdfzgwcPavTo0bLZbEpISNCBAwe8WJ151dTUaNasWerVq5d%2B%2Bctf6qWXXtKFe0nTY2OcPHlSkyZNUs%2BePRUfH69Vq1a55ujx1ampqdGwYcO0Z88e11hD77%2B7du3SsGHDZLPZNG7cOB07duxal/2jCFgmlZ6ergMHDmj16tWaMWOGMjMztXXrVm%2BXZUpOp1PJyclyOBxat26dXn75ZW3fvl2LFi2S0%2BlUYmKiQkNDtWHDBg0fPlxJSUk6ceKEt8s2rT/96U/asWOH63lVVZUmTpyo2NhYbdy4UdHR0Zo0aZKqqqq8WKU5zZ07V7t27dLy5cu1cOFC/eEPf1BWVhY9NtBTTz2lZs2aaePGjZo2bZoWLVqkP//5z/T4KlVXV%2BuZZ55RUVGRa6yh998TJ04oMTFRI0eO1Pr169WyZUs9%2BeSTum7%2BQI0TpnPmzBlnjx49nLt373aNLVmyxDl27FgvVmVehw4dcnbu3Nlpt9tdY1u2bHH269fPuWvXLmdUVJTzzJkzrrnx48c7Fy9e7I1STa%2B8vNx5xx13OBMSEpzPP/%2B80%2Bl0OrOzs53x8fHO%2Bvp6p9PpdNbX1zsHDx7s3LBhgzdLNZ3y8nJn9%2B7dnXv27HGNvfHGG84XXniBHhukoqLC2blzZ%2BcXX3zhGktKSnLOmjWLHl%2BFoqIi57333uv81a9%2B5ezcubPr37aG3n8XLVrk9u9eVVWVMzo62u3fRm/iEywTKiwsVG1traKjo11jMTExys/PV319vRcrM6ewsDAtW7ZMoaGhbuOnT59Wfn6%2BunfvrmbNmrnGY2JilJeXd63LvCH893//t4YPH66bb77ZNZafn6%2BYmBj5%2BPhIknx8fNSzZ096fIVyc3PVvHlzxcXFucYmTpyotLQ0emyQwMBAWa1Wbdy4UefOndORI0e0b98%2BdevWjR5fhU8//VS9e/dWVlaW23hD77/5%2BfmKjY11zVmtVkVGRl43PSdgmZDdbldISIj8/f1dY6GhoaqurlZFRYUXKzOn4OBg9e/f3/W8vr5ea9euVZ8%2BfWS32xUeHu72%2BlatWqm4uPhal2l6n3zyif72t7/pySefdBunx8Y4duyY2rZtq02bNmnIkCH6z//8Ty1ZskT19fX02CABAQGaPn26srKyZLPZNHToUN1xxx0aPXo0Pb4KDz74oKZNmyar1eo23lBPr/eeW7xdAK6cw%2BFwC1eSXM9ramq8UdINJSMjQwcPHtT69eu1atWqS/aaPl%2BZ6upqzZgxQ9OnT1dgYKDb3I99PdPjK1NVVaWvv/5a7777rtLS0mS32zV9%2BnRZrVZ6bKDDhw9r4MCBevjhh1VUVKQ5c%2Bbo9ttvp8ce0FBPr/eeE7BMKCAg4KIvoAvPf/iPF65MRkaGVq9erZdfflmdO3dWQEDARZ8K1tTU0OcrlJmZqVtvvdXtk8ILfuzrmR5fGYvFotOnT2vhwoVq27atpPMXAb/zzju66aab6LEBPvnkE61fv147duxQYGCgevTooZKSEr322mtq3749PTZYQ%2B%2B/P/beERwcfM1qvBxOEZpQRESEysvLVVtb6xqz2%2B0KDAy8br6wzGjOnDlauXKlMjIydNddd0k63%2BuysjK315WVlV30sTQu709/%2BpO2bdum6OhoRUdHa8uWLdqyZYuio6PpsUHCwsIUEBDgCleS9O///u86efIkPTbIgQMHdNNNN7mFpu7du%2BvEiRP02AMa6umPzYeFhV2zGi%2BHgGVC3bp1k8VicbuQLzc3Vz169JCvL/9LmyIzM1PvvvuuXnrpJd1zzz2ucZvNps8//1xnz551jeXm5spms3mjTNN66623tGXLFm3atEmbNm1SfHy84uPjtWnTJtlsNu3fv9/1q9VOp1P79u2jx1fIZrOpurpaX375pWvsyJEjatu2LT02SHh4uL7%2B%2Bmu3T02OHDmidu3a0WMPaOj912azKTc31zXncDh08ODB66bn/GtsQlarVSNGjNDMmTNVUFCgbdu2acWKFRo3bpy3SzOlw4cP69VXX9VvfvMbxcTEyG63ux5xcXFq3bq1UlJSVFRUpKVLl6qgoECjRo3ydtmm0rZtW910002uR1BQkIKCgnTTTTdpyJAhqqys1Lx583To0CHNmzdPDodDQ4cO9XbZptKxY0cNGDBAKSkpKiws1Mcff6ylS5fqgQceoMcGiY%2BP189%2B9jO9%2BOKL%2BvLLL/W///u/ev311/XrX/%2BaHntAQ%2B%2B/CQkJ2rdvn5YuXaqioiKlpKSoXbt26t27t5cr//%2B8eY8INF1VVZVz6tSpzqioKGe/fv2cK1eu9HZJpvXGG284O3fufMmH0%2Bl0fvXVV86HHnrIeeuttzrvuece51//%2BlcvV2x%2Bzz//vOs%2BWE6n05mfn%2B8cMWKEs0ePHs5Ro0Y5P//8cy9WZ16VlZXOKVP%2BXzt3cFohFEVRlDQk4sy52IY28SuxAFuxD2c2cjILmYQ/OYQQ1qrgcQeXDQ/uK%2BM4Zp7nHMfxdZfJjDvu%2B86%2B75mmKcuy5DxPMy76fgcreb9/r%2BvKuq4ZhiHbtuV5nt9%2B8o8%2Bkr9y8hQA4H/wRQgAUCawAADKBBYAQJnAAgAoE1gAAGUCCwCgTGABAJQJLACAMoEFAFAmsAAAygQWAECZwAIAKBNYAABln%2BZhOpq4KI46AAAAAElFTkSuQmCC"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common3594459619245279000">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">0.0</td>
<td class="number">37516</td>
<td class="number">6.6%</td>
<td>
<div class="bar" style="width:7%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">73.0428</td>
<td class="number">7</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.0510613</td>
<td class="number">6</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">75.6174</td>
<td class="number">6</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">68.4794</td>
<td class="number">6</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.0521959</td>
<td class="number">6</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.0430728</td>
<td class="number">6</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.0629386</td>
<td class="number">6</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">73.3019</td>
<td class="number">6</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.0443509</td>
<td class="number">6</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (462053)</td>
<td class="number">531422</td>
<td class="number">93.2%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">1307</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme3594459619245279000">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">-0.0429776</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.0189462</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.0139742</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.013624</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.00315727</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">98.1478</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">98.1862</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">98.19301</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">98.20754</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">98.25523</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4">WQI8100XCL1.CPV<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>509055</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>89.7%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.5%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>2713</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>702.2</td>
</tr>
<tr>
<th>Minimum</th>
<td>-431.19</td>
</tr>
<tr>
<th>Maximum</th>
<td>1172.5</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-5282377855972634074">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAAR1JREFUeJzt3cEJwkAQQFEVS7IIe/KcnizCntYG5KOCZjXv3QND4DMbctj9GGPsgIcOaw8AMzuuPQDfd7pcX37mtpw/MMn8bBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIbrn9A%2B/cWstzbBAIAoGw2SPWO8eS23L%2BwCS/YavvywaBIBAIAoEgEAib/UiflX8ac9mPMcbaQ8CsHLEgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAg3AE0KBRjgBu9mAAAAABJRU5ErkJggg%3D%3D">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives-5282377855972634074,#minihistogram-5282377855972634074"
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<div class="row collapse col-md-12" id="descriptives-5282377855972634074">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles-5282377855972634074"
aria-controls="quantiles-5282377855972634074" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram-5282377855972634074" aria-controls="histogram-5282377855972634074"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common-5282377855972634074" aria-controls="common-5282377855972634074"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme-5282377855972634074" aria-controls="extreme-5282377855972634074"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles-5282377855972634074">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>-431.19</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>-0.34984</td>
</tr>
<tr>
<th>Q1</th>
<td>704.66</td>
</tr>
<tr>
<th>Median</th>
<td>771.51</td>
</tr>
<tr>
<th>Q3</th>
<td>813.35</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>863.08</td>
</tr>
<tr>
<th>Maximum</th>
<td>1172.5</td>
</tr>
<tr>
<th>Range</th>
<td>1603.7</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>108.68</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>223.23</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.3179</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>5.2495</td>
</tr>
<tr>
<th>Mean</th>
<td>702.2</td>
</tr>
<tr>
<th>MAD</th>
<td>136.48</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>-2.5141</td>
</tr>
<tr>
<th>Sum</th>
<td>398560000</td>
</tr>
<tr>
<th>Variance</th>
<td>49831</td>
</tr>
<tr>
<th>Memory size</th>
<td>4.4 MiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram-5282377855972634074">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzs3XtclHX%2B///HwCw4YKyoQKLe1tXyEOkwgUapfZOPppZbrnjIDmbaRyuQT7dSC7E8ax/UVl06mee0IrN0Zc32Y5/W/biVuSiQ69KqbUnKYUgIDxwE5veHN%2Be3kwcQLxzn8nm/3bjhvF9zXe/365qJfe5cFxcWl8vlQkREREQM4%2BftBYiIiIiYjQKWiIiIiMEUsEREREQMpoAlIiIiYjAFLBERERGDKWCJiIiIGEwBS0RERMRgClgiIiIiBlPAEhERETGYApaIiIiIwRSwRERERAymgCUiIiJiMAUsEREREYMpYImIiIgYTAFLRERExGAKWCIiIiIGU8ASERERMZgCloiIiIjBFLBEREREDKaAJSIiImIwBSwRERERgylgiYiIiBhMAUtERETEYApYIiIiIgZTwBIRERExmAKWiIiIiMEUsEREREQMpoAlIiIiYjAFLBERERGDKWCJiIiIGEwBS0RERMRgClgiIiIiBlPAEhERETGYApaIiIiIwRSwRERERAymgCUiIiJiMAUsEREREYMpYImIiIgYTAFLRERExGBWby/geuF0nrjqc/r5WWjZMpjjx09RV%2Be66vM3JbP2Zta%2BwLy9qS/fY9bezNoXXFlvYWE3NNGqLk2fYJmYn58Fi8WCn5/F20sxnFl7M2tfYN7e1JfvMWtvZu0LfLM3BSwRERERgylgiYiIiBhMAUtERETEYApYIiIiIgZTwBIRERExmAKWiIiIiMGuiYA1YcIEXnjhBffjAwcOMGLECOx2OwkJCezfv9/j%2BZmZmfTv3x%2B73U5iYiLHjx9311wuF4sWLSIuLo5evXqRlpZGXV2du15aWsqkSZNwOBzEx8ezZcsWj33XN7eIiIhIfbwesP74xz%2Byc%2BdO9%2BPTp08zYcIEYmNj%2BfDDD3E4HEycOJHTp08DkJubS2pqKklJSWRkZFBeXk5KSop7%2B9WrV5OZmUl6ejrLli1j69atrF692l1PSUnhxIkTZGRk8NRTTzF9%2BnRyc3MbNLeIiIhIQ3g1YJWVlZGWlkb37t3dY9u2bSMwMJCpU6fSqVMnUlNTCQ4OZvv27QCsX7%2BewYMHM3ToULp27UpaWho7d%2B4kPz8fgHXr1pGcnExsbCxxcXFMnjyZDRs2AHDkyBE%2B%2B%2Bwz5s6dS%2BfOnRkxYgT3338/77zzToPmFhEREWkIrwas//7v/%2BaBBx7gpptuco/l5OQQExODxXL2bq0Wi4XbbruN7Oxsdz02Ntb9/DZt2hAZGUlOTg5FRUUUFBTQs2dPdz0mJoajR49SXFxMTk4Obdq0oV27dh71ffv2NWhuERERkYbw2t8i/OKLL/jb3/7G1q1bmTlzpnvc6XR6BC6AVq1acfDgQQCKi4sJDw8/r15YWIjT6QTwqLdu3RrAXb/QtkVFRQ2au6GKi4vdaznHag06b%2B6m5u/v5/HdTMzam1n7AvP2pr58j1l7M2tf4Ju9eSVgVVVVMWPGDF566SWaNWvmUauoqCAgIMBjLCAggOrqagAqKysvWq%2BsrHQ//vcaQHV1db37rq/eUBkZGaSnp3uMJSYmkpycfFn7MUpIiM0r814NZu3NrH2BeXtTX77HrL2ZtS/wrd68ErDS09O59dZb6du373m1wMDA8wJNdXW1O4hdrG6z2TzCVGBgoPvfADabrdH7/nkIrM%2BoUaOIj4/3GLNagygtPXVZ%2B7lS/v5%2BhITYKC%2BvoLa2rv4NfIhZezNrX2De3tSX7zFrb2btC66st9DQ4CZa1aV5JWD98Y9/pKSkBIfDAfz/IeiTTz5hyJAhlJSUeDy/pKTEfXotIiLigvWwsDAiIiKAs6f6zl1nde5U3bn6xba91L4v99ReeHj4eds4nSeoqfHOG762ts5rczc1s/Zm1r7AvL2pr8YZvOSvTbbvpvDxM729vYR6mfW9CL7Vm1dOZr799tts3bqVzZs3s3nzZuLj44mPj2fz5s3Y7Xb27duHy%2BUCzt7Xau/evdjtdgDsdjtZWVnufRUUFFBQUIDdbiciIoLIyEiPelZWFpGRkYSHhxMdHc3Ro0cpLCz0qEdHR7v3fam5RURERBrCKwGrbdu2/OpXv3J/BQcHExwczK9%2B9SsGDRpEeXk58%2BbN49ChQ8ybN4%2BKigoGDx4MwOjRo9myZQsbN24kLy%2BPqVOncvfdd9O%2BfXt3fdGiRezevZvdu3ezePFixowZA0D79u3p06cPU6ZMIS8vj40bN5KZmcnDDz8MUO/cIiIiIg3htd8ivJjmzZvz5ptvMmPGDN5//326dOnC8uXLCQoKAsDhcDB79myWLVvGTz/9RO/evZkzZ457%2B/Hjx/Pjjz%2BSlJSEv78/w4cPZ%2BzYse56WloaqampjBw5krCwMObPn0%2BPHj0aNLeIiIhIQ1hc586HSZNyOk9c9TmtVj9CQ4MpLT3lM%2BesG8qsvZm1LzBvb%2BrryugaLOOY9b0IV9ZbWNgNTbSqS/OdG0qIiIiI%2BAgFLBERERGDKWCJiIiIGEwBS0RERMRgClgiIiIiBlPAEhERETGYApaIiIiIwRSwRERERAymgCUiIiJiMAUsEREREYMpYImIiIgYTAFLRERExGAKWCIiIiIGU8ASERERMZgCloiIiIjBFLBEREREDKaAJSIiImIwBSwRERERgylgiYiIiBhMAUtERETEYApYIiIiIgZTwBIRERExmAKWiIiIiMEUsEREREQMpoAlIiIiYjAFLBERERGDeTVgff/994wfPx6Hw8Hdd9/NihUr3LW5c%2BfSpUsXj6/169e765mZmfTv3x%2B73U5iYiLHjx9311wuF4sWLSIuLo5evXqRlpZGXV2du15aWsqkSZNwOBzEx8ezZcsWj3UdOHCAESNGYLfbSUhIYP/%2B/U14FERERMRsvBaw6urqmDBhAqGhoXz00UfMmjWL119/na1btwJw%2BPBhnnvuOXbt2uX%2BSkhIACA3N5fU1FSSkpLIyMigvLyclJQU975Xr15NZmYm6enpLFu2jK1bt7J69Wp3PSUlhRMnTpCRkcFTTz3F9OnTyc3NBeD06dNMmDCB2NhYPvzwQxwOBxMnTuT06dNX8eiIiIiIL/NawCopKaFbt27MnDmTDh068P/%2B3//jjjvuICsrCzgbsG655RbCwsLcXzabDYD169czePBghg4dSteuXUlLS2Pnzp3k5%2BcDsG7dOpKTk4mNjSUuLo7JkyezYcMGAI4cOcJnn33G3Llz6dy5MyNGjOD%2B%2B%2B/nnXfeAWDbtm0EBgYydepUOnXqRGpqKsHBwWzfvt0LR0lERER8kdcCVnh4OEuWLKF58%2Ba4XC6ysrLYs2cPvXr14uTJkxQVFdGhQ4cLbpuTk0NsbKz7cZs2bYiMjCQnJ4eioiIKCgro2bOnux4TE8PRo0cpLi4mJyeHNm3a0K5dO4/6vn373PuOiYnBYrEAYLFYuO2228jOzm6CoyAiIiJmdE1c5B4fH89DDz2Ew%2BFg4MCBHD58GIvFwhtvvMFdd93F/fffz0cffeR%2BfnFxMeHh4R77aNWqFYWFhTidTgCPeuvWrQHc9QttW1RUBHDRemFhoXENi4iIiKlZvb0AgGXLllFSUsLMmTNZsGABUVFRWCwWOnbsyCOPPMKePXt48cUXad68OQMGDKCyspKAgACPfQQEBFBdXU1lZaX78b/XAKqrq6moqLjotkC99YYoLi52B71zrNag84JbU/P39/P4biZm7c2sfYF5e1Nf1xer9do9HmZ%2BzXyxt2siYHXv3h2AqqoqJk%2BezN69e%2BnXrx8tWrQAoGvXrnz33Xe8%2B%2B67DBgwgMDAwPMCT3V1NTabzSNMBQYGuv8NYLPZLrpts2bNAOqtN0RGRgbp6ekeY4mJiSQnJzd4H0YKCbF5Zd6rway9mbUvMG9v6uv6EBoa7O0l1MvMr5kv9ea1gFVSUkJ2djb9%2B/d3j910002cOXOGkydP0rJlS4/nd%2BzYkS%2B//BKAiIgISkpKzttfWFgYERERwNlTfeeuszr3adK5%2BsW2vdS%2BL%2BfTp1GjRhEfH%2B8xZrUGUVp6qsH7MIK/vx8hITbKyyuora2rfwMfYtbezNoXmLc39XV9udo/xy%2BHmV%2BzK%2BnNW6HYawHrhx9%2BICkpiZ07d7pD0f79%2B2nZsiVvv/02%2B/btY82aNe7n5%2BXl0bFjRwDsdjtZWVkMGzYMgIKCAgoKCrDb7URERBAZGUlWVpY7YGVlZREZGUl4eDjR0dEcPXqUwsJCbrzxRnc9Ojrave%2B33noLl8uFxWLB5XKxd%2B9ennzyyQb3Fh4efl4gczpPUFPjnTd8bW2d1%2BZuambtzax9gXl7U1/XB184FmZ%2BzXypN6%2BdzOzevTtRUVFMmzaNQ4cOsXPnThYuXMiTTz5Jv3792LNnDytXruTIkSO88847bN68mXHjxgEwevRotmzZwsaNG8nLy2Pq1KncfffdtG/f3l1ftGgRu3fvZvfu3SxevJgxY8YA0L59e/r06cOUKVPIy8tj48aNZGZm8vDDDwMwaNAgysvLmTdvHocOHWLevHlUVFQwePBg7xwoERER8Tle%2BwTL39%2Bf1157jTlz5jBq1ChsNhuPPvooY8aMwWKxsHTpUpYtW8bSpUtp27YtixcvxuFwAOBwOJg9ezbLli3jp59%2Bonfv3syZM8e97/Hjx/Pjjz%2BSlJSEv78/w4cPZ%2BzYse56WloaqampjBw5krCwMObPn0%2BPHj0AaN68OW%2B%2B%2BSYzZszg/fffp0uXLixfvpygoKCrenxERETEd1lcLpfL24u4HjidJ676nFarH6GhwZSWnvKZj1Qbyqy9mbUvMG9v6uvKDF7y1ybbd1P4%2BJne3l7CRZn1vQhX1ltY2A1NtKpL853fdxQRERHxEQpYIiIiIgZTwBIRERExmAKWiIiIiMEUsEREREQMpoAlIiIiYjAFLBERERGDKWCJiIiIGEwBS0RERMRgClgiIiIiBlPAEhERETGYApaIiIiIwRSwRERERAymgCUiIiJiMAUsEREREYMpYImIiIgYTAFLRERExGAKWCIiIiIGU8ASERERMZgCloiIiIjBFLBEREREDKaAJSIiImIwBSwRERERgylgiYiIiBhMAUtERETEYApYIiIiIgbzasD6/vvvGT9%2BPA6Hg7vvvpsVK1a4a/n5%2BYwdO5bo6Gjuvfdedu3a5bHt559/zpAhQ7Db7YwZM4b8/HyP%2Bpo1a%2Bjbty8Oh4Np06ZRUVHhrlVVVTFt2jRiY2Pp06cPq1at8ti2vrlFRERELsVrAauuro4JEyYQGhrKRx99xKxZs3j99dfZunUrLpeLxMREWrduzaZNm3jggQdISkri2LFjABw7dozExESGDRvGBx98QMuWLXn66adxuVwAfPLJJ6SnpzN79mzWrl1LTk4OCxcudM%2BdlpbG/v37Wbt2LTNmzCA9PZ3t27cD1Du3iIiISH2s3pq4pKSEbt26MXPmTJo3b06HDh244447yMrKonXr1uTn5/Pee%2B8RFBREp06d%2BOKLL9i0aROTJk1i48aN3HrrrYwbNw6ABQsW0Lt3b7766ituv/121q1bx2OPPUa/fv0AmDVrFuPHj2fKlCm4XC42btzIW2%2B9RVRUFFFRURw8eJANGzYwaNAgvvzyy0vOLSIiIlIfr32CFR4ezpIlS2jevDkul4usrCz27NlDr169yMnJ4ZZbbiEoKMj9/JiYGLKzswHIyckhNjbWXbPZbERFRZGdnU1tbS1ff/21Rz06OpozZ86Ql5dHXl4eNTU1OBwOj33n5ORQV1dX79wiIiIi9bkmLnKPj4/noYcewuFwMHDgQJxOJ%2BHh4R7PadWqFYWFhQCXrJeXl1NVVeVRt1qttGjRgsLCQpxOJ6GhoQQEBLjrrVu3pqqqirKysnrnFhEREamP104R/rtly5ZRUlLCzJkzWbBgARUVFR4BCCAgIIDq6mqAS9YrKyvdjy9Ud7lcF6wBVFdX1zt3QxQXF%2BN0Oj3GrNag84JbU/P39/P4biZm7c2sfYF5e1Nf1xer9do9HmZ%2BzXyxt2siYHXv3h04%2B9t9kydPJiEhweO3/uBs%2BGnWrBkAgYGB5wWe6upqQkJCCAwMdD/%2Bed1ms1FbW3vBGkCzZs0IDAykrKzsonM3REZGBunp6R5jiYmJJCcnN3gfRgoJsXll3qvBrL2ZtS8wb2/q6/oQGhrs7SXUy8yvmS/15tWL3LOzs%2Bnfv7977KabbuLMmTOEhYXx7bffnvf8c58ARUREUFJScl69W7dutGjRgsDAQEpKSujUqRMANTU1lJWVERYWhsvlorS0lJqaGqzWs%2B07nU6aNWtGSEgIERERHDp06KJzN8SoUaOIj4/3GLNagygtPdXgfRjB39%2BPkBAb5eUV1NbWXdW5m5pZezNrX2De3tTX9eVq/xy/HGZ%2Bza6kN2%2BFYq8FrB9%2B%2BIGkpCR27txJREQEAPv376dly5bExMSwatUqKisr3Z8cZWVlERMTA4DdbicrK8u9r4qKCg4cOEBSUhJ%2Bfn50796drKwsbr/9dgCys7OxWq107doVOHtNVnZ2tvtC%2BKysLLp3746fnx92u53ly5dfdO6GCA8PPy%2BQOZ0nqKnxzhu%2BtrbOa3M3NbP2Zta%2BwLy9qa/rgy8cCzO/Zr7Um9dOZnbv3p2oqCimTZvGoUOH2LlzJwsXLuTJJ5%2BkV69etGnThpSUFA4ePMjy5cvJzc1l%2BPDhACQkJLB3716WL1/OwYMHSUlJoV27du5A9dBDD7Fy5Up27NhBbm4uM2fOZOTIkdhsNmw2G0OHDmXmzJnk5uayY8cOVq1axZgxYwDqnVtERESkPl4LWP7%2B/rz22mvYbDZGjRpFamoqjz76KGPGjHHXnE4nw4YN4w9/%2BAOvvvoqkZGRALRr147f//73bNq0ieHDh1NWVsarr76KxWIB4L777mPixIm89NJLjBs3jh49ejBlyhT33CkpKURFRfHYY48xa9YsJk2axD333OOxrovNLSIiIlIfi%2Bvc7c%2BlSTmdJ676nFarH6GhwZSWnvKZj1Qbyqy9mbUvMG9v6uvKDF7y1ybbd1P4%2BJne3l7CRZn1vQhX1ltY2A1NtKpL853fdxQRERHxEQpYIiIiIgZTwBIRERExmAKWiIiIiMEUsEREREQMpoAlIiIiYjAFLBERERGDKWCJiIiIGEwBS0RERMRgClgiIiIiBlPAEhERETGYApaIiIiIwRSwRERERAymgCUiIiJiMAUsEREREYMpYImIiIgYTAFLRERExGAKWCIiIiIGU8ASERERMZgCloiIiIjBFLBEREREDKaAJSIiImIwBSwRERERgylgiYiIiBhMAUtERETEYApYIiIiIgZTwBIRERExmNcCVlFREcnJyfTq1Yu%2BffuyYMECqqqqAJg7dy5dunTx%2BFq/fr1728zMTPr374/dbicxMZHjx4%2B7ay6Xi0WLFhEXF0evXr1IS0ujrq7OXS8tLWXSpEk4HA7i4%2BPZsmWLx7oOHDjAiBEjsNvtJCQksH///iY%2BEiIiImI2XglYLpeL5ORkKioq2LBhA7/73e/47LPPWLJkCQCHDx/mueeeY9euXe6vhIQEAHJzc0lNTSUpKYmMjAzKy8tJSUlx73v16tVkZmaSnp7OsmXL2Lp1K6tXr3bXU1JSOHHiBBkZGTz11FNMnz6d3NxcAE6fPs2ECROIjY3lww8/xOFwMHHiRE6fPn0Vj46IiIj4Oq8ErG%2B//Zbs7GwWLFjAzTffTGxsLMnJyWRmZgJnA9Ytt9xCWFiY%2B8tmswGwfv16Bg8ezNChQ%2BnatStpaWns3LmT/Px8ANatW0dycjKxsbHExcUxefJkNmzYAMCRI0f47LPPmDt3Lp07d2bEiBHcf//9vPPOOwBs27aNwMBApk6dSqdOnUhNTSU4OJjt27d74SiJiIiIr/JKwAoLC2PFihW0bt3aY/zkyZOcPHmSoqIiOnTocMFtc3JyiI2NdT9u06YNkZGR5OTkUFRUREFBAT179nTXY2JiOHr0KMXFxeTk5NCmTRvatWvnUd%2B3b5973zExMVgsFgAsFgu33XYb2dnZRrUuIiIi1wFrYzYaMWIECQkJ3Hfffdxwww2XvX1ISAh9%2B/Z1P66rq2P9%2BvXExcVx%2BPBhLBYLb7zxBn/5y19o0aIFjz/%2BOL/97W8BKC4uJjw83GN/rVq1orCwEKfTCeBRPxfiztUvtG1RUREATqeTm2666bz6wYMHL6u/4uJi91rOsVqDzpu7qfn7%2B3l8NxOz9mbWvsC8vamv64vVeu0eDzO/Zr7YW6MCVlxcHG%2B88QYLFizgP/7jPxg2bBi9e/d2f/JzuRYuXMiBAwf44IMP%2BPvf/47FYqFjx4488sgj7NmzhxdffJHmzZszYMAAKisrCQgI8Ng%2BICCA6upqKisr3Y//vQZQXV1NRUXFRbcF6q03VEZGBunp6R5jiYmJJCcnX9Z%2BjBISYvPKvFeDWXsza19g3t7U1/UhNDTY20uol5lfM1/qrVEB67nnnuPZZ5/l888/Z/PmzUyaNImQkBCGDh3K0KFD%2BfWvf93gfS1cuJC1a9fyu9/9js6dO3PzzTfTr18/WrRoAUDXrl357rvvePfddxkwYACBgYHnBZ7q6mpsNptHmAoMDHT/G8Bms11022bNmgHUW2%2BoUaNGER8f7zFmtQZRWnrqsvZzpfz9/QgJsVFeXkFtbV39G/gQs/Zm1r7AvL2pr%2BvL1f45fjnM/JpdSW/eCsWNClhw9vqk3r1707t3byoqKnj77bd57bXXWL58ObfddhuPPfYY99xzzyX3MWfOHN59910WLlzIwIED3fs9F67O6dixI19%2B%2BSUAERERlJSUeNRLSkoICwsjIiICOHuq79x1VudO1Z2rX2zbS%2B37ck/thYeHn7eN03mCmhrvvOFra%2Bu8NndTM2tvZu0LzNub%2Bro%2B%2BMKxMPNr5ku9XdHJzOLiYlasWMGoUaN45ZVXuOWWW5g9ezZxcXFMnz6defPmXXTb9PR03nvvPV555RXuu%2B8%2B9/jSpUsZO3asx3Pz8vLo2LEjAHa7naysLHetoKCAgoIC7HY7ERERREZGetSzsrKIjIwkPDyc6Ohojh49SmFhoUc9Ojrave99%2B/bhcrmAs7eT2Lt3L3a7vfEHSURERK47jfoEa8uWLWzZsoXdu3fTsmVLhg4dyrJlyzx%2B869NmzbMmzeP1NTU87Y/fPgwr732GhMmTCAmJsbjgvB%2B/fqxfPlyVq5cyYABA9i1axebN29m3bp1AIwePZpHH32U6Ohounfvzrx587j77rtp3769u75o0SJuvPFGABYvXsy4ceMAaN%2B%2BPX369GHKlCmkpqby9ddfk5mZ6b6J6aBBg1i8eDHz5s3jwQcf5L333qOiooLBgwc35jCJiIjIdapRASs1NZV%2B/frx6quvctddd%2BHnd/4HYecuUr%2BQTz/9lNraWl5//XVef/11j9o333zD0qVLWbZsGUuXLqVt27YsXrwYh8MBgMPhYPbs2SxbtoyffvqJ3r17M2fOHPf248eP58cffyQpKQl/f3%2BGDx/u8YlYWloaqampjBw5krCwMObPn0%2BPHj0AaN68OW%2B%2B%2BSYzZszg/fffp0uXLixfvpygoKDGHCYRERG5Tllc586HXYbjx48TGhpKWVkZoaGhwNk7rEdFReHv72/4Is3A6Txx1ee0Wv0IDQ2mtPSUz5yzbiiz9mbWvsC8vamvKzN4yV%2BbbN9N4eNnent7CRdl1vciXFlvYWGXfzspIzTqGqyTJ08yaNAg3nrrLffYhAkTeOCBBygoKDBscSIiIiK%2BqFEBa/78%2BfzqV7/i8ccfd49t27aNNm3asGDBAsMWJyIiIuKLGhWw/va3v/HCCy%2B4b28A0LJlS6ZOneq%2BnYKIiIjI9apRActqtVJeXn7eeEVFBY24pEtERETEVBoVsO666y7mzp3LkSNH3GP5%2BfksWLDA428MioiIiFyPGnWbhueff57HH3%2BcgQMHEhISAkB5eTlRUVGkpKQYukARERERX9OogNWqVSs%2B%2BugjPv/8cw4ePIjVauWmm27ijjvuaPQffBYRERExi0b/LUJ/f3/69u2rU4IiIiIiP9OogOV0OlmyZAl79%2B7lzJkz513Y/umnnxqyOBERERFf1KiA9eKLL7J//37uu%2B8%2BbrjBO3dIFREREblWNSpgffnll6xYsYLY2Fij1yMiIiLi8xp1m4agoCBatWpl9FpERERETKFRAeuBBx5gxYoV1NbWGr0eEREREZ/XqFOEZWVlZGZm8uc//5n27dsTEBDgUV%2B3bp0hixMRERHxRY2%2BTcOQIUOMXIeIiIiIaTQqYC1YsMDodYiIiIiYRqOuwQIoLi4mPT2d5557jh9//JHt27fz7bffGrk2EREREZ/UqID1/fff85vf/IaPPvqITz75hNOnT7Nt2zYSEhLIyckxeo0iIiIiPqVRAevll1%2Bmf//%2B7Nixg1/84hcAvPLKK8THx7No0SJDFygiIiLiaxoVsPbu3cvjjz/u8YedrVYrTz/9NAcOHDBscSIiIiK%2BqFEBq66ujrq6uvPGT506hb%2B//xUvSkRERMSXNSpg9enThzfffNMjZJWVlbFw4ULi4uIMW5yIiIiIL2pUwHrhhRfYv38/ffr0oaqqiqeeeop%2B/frxww8/8Pzzzxu9RhERERGf0qj7YEVERLB582YyMzP5xz/%2BQV1dHaNHj%2BaBBx6gefPmRq9RRERExKc0%2Bk7uNpuNESNGGLkWEREREVNoVMAaM2bMJev6W4QiIiJyPWvUNVht27b1%2BIqIiKCyspLc3FwcDkeD9lFUVERycjK9evWib9%2B%2BLFiwgKqqKgDy8/MZO3Ys0dHR3Hvvvezatctj288//5whQ4Zgt9sZM2YM%2Bfn5HvU1a9bQt29fHA4H06ZNo6Kiwl2rqqpi2rRpxMbG0qdPH1atWuWxbX1zi4iIiNTH0L9F%2BOqrr1JYWFjv9i6Xi%2BTkZEJCQtiwYQM//fQT06ZNw8/Pj6lGW6WPAAAgAElEQVRTp5KYmEjnzp3ZtGkTO3bsICkpiW3bthEZGcmxY8dITExk0qRJ9O3bl1dffZWnn36aP/zhD1gsFj755BPS09NZuHAhrVq1IiUlhYULF/LSSy8BkJaWxv79%2B1m7di3Hjh3j%2BeefJzIykkGDBuFyuS45t4iIiEhDNPpvEV7IAw88wMcff1zv87799luys7NZsGABN998M7GxsSQnJ5OZmcmXX35Jfn4%2Bs2fPplOnTkycOJHo6Gg2bdoEwMaNG7n11lsZN24cN998MwsWLODo0aN89dVXwNnTk4899hj9%2BvWjR48ezJo1i02bNlFRUcHp06fZuHEjqampREVFMWDAAJ544gk2bNgAUO/cIiIiIg1haMDat29fg240GhYWxooVK2jdurXH%2BMmTJ8nJyeGWW24hKCjIPR4TE0N2djYAOTk5xMbGums2m42oqCiys7Opra3l66%2B/9qhHR0dz5swZ8vLyyMvLo6amxuM0ZkxMDDk5OdTV1dU7t4iIiEhDGHaR%2B8mTJ/nmm2946KGH6t0%2BJCSEvn37uh/X1dWxfv164uLicDqdhIeHezy/VatW7lOPl6qXl5dTVVXlUbdarbRo0YLCwkL8/PwIDQ0lICDAXW/dujVVVVWUlZXVO7eIiIhIQzQqYEVGRnr8HUKAX/ziFzzyyCPcf//9l72/hQsXcuDAAT744APWrFnjEYAAAgICqK6uBqCiouKi9crKSvfjC9VdLtcFawDV1dWX3PflKC4uxul0eoxZrUHnhbem5u/v5/HdTMzam1n7AvP2pr6uL1brtXs8zPya%2BWJvjQpYL7/8smELWLhwIWvXruV3v/sdnTt3JjAwkLKyMo/nVFdX06xZMwACAwPPCzzV1dWEhIQQGBjofvzzus1mo7a29oI1gGbNmtU7d0NlZGSQnp7uMZaYmEhycvJl7ccoISE2r8x7NZi1N7P2BebtTX1dH0JDg729hHqZ%2BTXzpd4aFbD27NnT4Of27NnzorU5c%2Bbw7rvvsnDhQgYOHAicvUv8oUOHPJ5XUlLi/vQnIiKCkpKS8%2BrdunWjRYsWBAYGUlJSQqdOnQCoqamhrKyMsLAwXC4XpaWl1NTUYLWebd3pdNKsWTNCQkLqnbuhRo0aRXx8vMeY1RpEaempy9rPlfL39yMkxEZ5eQW1tef/cW5fZtbezNoXmLc39XV9udo/xy%2BHmV%2BzK%2BnNW6G4UQHr0UcfdZ8idLlc7vGfj1ksFv7xj39ccB/p6em89957vPLKKwwaNMg9brfbWb58OZWVle5PjrKysoiJiXHXs7Ky3M%2BvqKjgwIEDJCUl4efnR/fu3cnKyuL2228HIDs7G6vVSteuXc82bLWSnZ3tvhA%2BKyuL7t274%2BfnV%2B/cDRUeHn5eKHM6T1BT4503fG1tndfmbmpm7c2sfYF5e1Nf1wdfOBZmfs18qbdGncx84403aNu2LUuWLOGLL74gKyuLNWvW8Otf/5pnn32WTz/9lE8//ZQdO3ZccPvDhw/z2muv8Z//%2BZ/ExMTgdDrdX7169aJNmzakpKRw8OBBli9fTm5uLsOHDwcgISGBvXv3snz5cg4ePEhKSgrt2rVzB6qHHnqIlStXsmPHDnJzc5k5cyYjR47EZrNhs9kYOnQoM2fOJDc3lx07drBq1Sr3Rfv1zS0iIiLSEBbXv38E1UADBw4kNTWVu%2B66y2P8b3/7G1OnTuV///d/L7n98uXLWbx48QVr33zzDd9//z2pqank5OTwq1/9imnTpnHnnXe6n7Nz507mz59PYWEhDoeDOXPm0L59e4/9r1mzhurqau655x5mzJjhvj6roqKCmTNn8qc//YnmzZszfvx4xo4d6962vrkby%2Bk8ccX7uFxWqx%2BhocGUlp7ymcTfUGbtzax9gXl7U19XZvCSvzbZvpvCx8/09vYSLsqs70W4st7Cwm5oolVdWqMClsPh4IMPPnBf53ROXl4eo0ePZt%2B%2BfYYt0CwUsIxl1t7M2heYtzf1dWUUsIxj1vci%2BGbAatQpwujoaF555RVOnjzpHisrK2PhwoXccccdhi1ORERExBc16iL36dOnM2bMGO666y46dOiAy%2BXiu%2B%2B%2BIywsjHXr1hm9RhERERGf0qiA1alTJ7Zt20ZmZiaHDx8G4OGHH%2Ba%2B%2B%2B7DZvOde1SIiIiINIVGBSyAX/7yl4wYMYIffvjBfYH5L37xC8MWJiIiIuKrGnUNlsvlYtGiRfTs2ZMhQ4ZQWFjI888/T2pqKmfOnDF6jSIiIiI%2BpVEB6%2B2332bLli3MmDHD/bf7%2Bvfvz44dO877EzEiIiIi15tGBayMjAxeeuklhg0b5r57%2B7333svcuXPZunWroQsUERER8TWNClg//PAD3bp1O2%2B8a9euOJ3OK16UiIiIiC9rVMBq27YtX3/99Xnjf/nLXzzuqC4iIiJyPWrUbxGOHz%2BeWbNm4XQ6cblcfPHFF2RkZPD222/zwgsvGL1GEREREZ/SqICVkJBATU0Nr7/%2BOpWVlbz00ku0bNmSZ555htGjRxu9RhERERGf0qiAlZmZyaBBgxg1ahTHjx/H5XLRqlUro9cmIiIi4pMadQ3W7Nmz3Rezt2zZUuFKRERE5N80KmB16NCBf/7zn0avRURERMQUGnWKsGvXrkyePJkVK1bQoUMHAgMDPeoLFiwwZHEiIiIivqhRAetf//oXMTExALrvlYiIiMjPNDhgpaWlkZSURFBQEG%2B//XZTrklERETEpzX4GqzVq1dTUVHhMTZhwgSKi4sNX5SIiIiIL2twwHK5XOeN7dmzh6qqKkMXJCIiIuLrGvVbhCIiIiJycQpYIiIiIga7rIBlsViaah0iIiIipnFZt2mYO3euxz2vzpw5w8KFCwkODvZ4nu6DJSIiItezBgesnj17nnfPK4fDQWlpKaWlpYYvTERERMRXNThg6d5XIiIiIg2ji9xFREREDHZNBKzq6mqGDBnC7t273WNz586lS5cuHl/r16931zMzM%2Bnfvz92u53ExESOHz/urrlcLhYtWkRcXBy9evUiLS2Nuro6d720tJRJkybhcDiIj49ny5YtHus5cOAAI0aMwG63k5CQwP79%2B5uwexERETEbrwesqqoqnn32WQ4ePOgxfvjwYZ577jl27drl/kpISAAgNzeX1NRUkpKSyMjIoLy8nJSUFPe2q1evJjMzk/T0dJYtW8bWrVtZvXq1u56SksKJEyfIyMjgqaeeYvr06eTm5gJw%2BvRpJkyYQGxsLB9%2B%2BCEOh4OJEydy%2BvTpq3A0RERExAy8GrAOHTrEyJEjOXLkyHm1w4cPc8sttxAWFub%2BstlsAKxfv57BgwczdOhQunbtSlpaGjt37iQ/Px%2BAdevWkZycTGxsLHFxcUyePJkNGzYAcOTIET777DPmzp1L586dGTFiBPfffz/vvPMOANu2bSMwMJCpU6fSqVMnUlNTCQ4OZvv27VfpqIiIiIiv82rA%2Buqrr7j99tvJyMjwGD958iRFRUV06NDhgtvl5OQQGxvrftymTRsiIyPJycmhqKiIgoICevbs6a7HxMRw9OhRiouLycnJoU2bNrRr186jvm/fPve%2BY2Ji3Pf8slgs3HbbbWRnZxvVtoiIiJjcZd0Hy2gPPfTQBccPHz6MxWLhjTfe4C9/%2BQstWrTg8ccf57e//S0AxcXFhIeHe2zTqlUrCgsL3beS%2BPd669atAdz1C21bVFQEgNPp5Kabbjqv/vNTmCIiIiIX49WAdTHffvstFouFjh078sgjj7Bnzx5efPFFmjdvzoABA6isrCQgIMBjm4CAAKqrq6msrHQ//vcanL2YvqKi4qLbAvXWG6K4uPi8e4ZZrUHnBbum5u/v5/HdTMzam1n7AvP2pr6uL1brtXs8zPya%2BWJv12TAGjp0KP369aNFixYAdO3ale%2B%2B%2B453332XAQMGEBgYeF7gqa6uxmazeYSpc3edP/dcm8120W2bNWsGUG%2B9ITIyMkhPT/cYS0xMJDk5ucH7MFJIiM0r814NZu3NrH2BeXtTX9eH0NDg%2Bp/kZWZ%2BzXypt2syYFksFne4Oqdjx458%2BeWXAERERFBSUuJRLykpISwsjIiICODsqb5z11md%2BzTpXP1i215q35fz6dOoUaOIj4/3GLNagygtPdXgfRjB39%2BPkBAb5eUV1NbW1b%2BBDzFrb2btC8zbm/q6vlztn%2BOXw8yv2ZX05q1QfE0GrKVLl7Jv3z7WrFnjHsvLy6Njx44A2O12srKyGDZsGAAFBQUUFBRgt9uJiIggMjKSrKwsd8DKysoiMjKS8PBwoqOjOXr0KIWFhdx4443uenR0tHvfb731Fi6XC4vFgsvlYu/evTz55JMNXn94ePh5gczpPEFNjXfe8LW1dV6bu6mZtTez9gXm7U19XR984ViY%2BTXzpd6uyZOZ/fr1Y8%2BePaxcuZIjR47wzjvvsHnzZsaNGwfA6NGj2bJlCxs3biQvL4%2BpU6dy99130759e3d90aJF7N69m927d7N48WLGjBkDQPv27enTpw9TpkwhLy%2BPjRs3kpmZycMPPwzAoEGDKC8vZ968eRw6dIh58%2BZRUVHB4MGDvXMwRERExOdck59g9ejRg6VLl7Js2TKWLl1K27ZtWbx4MQ6HAzj7R6Znz57NsmXL%2BOmnn%2Bjduzdz5sxxbz9%2B/Hh%2B/PFHkpKS8Pf3Z/jw4YwdO9ZdT0tLIzU1lZEjRxIWFsb8%2BfPp0aMHAM2bN%2BfNN99kxowZvP/%2B%2B3Tp0oXly5cTFBR0VY%2BBiIiI%2BC6Ly%2BVyeXsR1wOn88RVn9Nq9SM0NJjS0lM%2B85FqQ5m1N7P2BebtTX1dmcFL/tpk%2B24KHz/T29tLuCizvhfhynoLC7uhiVZ1adfkKUIRERERX6aAJSIiImIwBSwRERERgylgiYiIiBhMAUtERETEYApYIiIiIgZTwBIRERExmAKWiIiIiMEUsEREREQMpoAlIiIiYjAFLBERERGDKWCJiIiIGEwBS0RERMRgClgiIiIiBlPAEhERETGYApaIiIiIwRSwRERERAymgCUiIiJiMAUsEREREYMpYImIiIgYTAFLRERExGAKWCIiIiIGU8ASERERMZgCloiIiIjBFLBEREREDKaAJSIiImIwBSwRERERg3k9YFVXVzNkyBB2797tHsvPz2fs2LFER0dz7733smvXLo9tPv/8c4YMGYLdbmfMmDHk5%2Bd71NesWUPfvn1xOBxMmzaNiooKd62qqopp06YRGxtLnz59WLVqlce29c0tIiIiUh%2BvBqyqqiqeffZZDh486B5zuVwkJibSunVrNm3axAMPPEBSUhLHjh0D4NixYyQmJjJs2DA%2B%2BOADWrZsydNPP43L5QLgk08%2BIT09ndmzZ7N27VpycnJYuHChe/9paWns37%2BftWvXMmPGDNLT09m%2BfXuD5hYRERFpCK8FrEOHDjFy5EiOHDniMf7ll1%2BSn5/P7Nmz6dSpExMnTiQ6OppNmzYBsHHjRm699VbGjRvHzTffzIIFCzh69ChfffUVAOvWreOxxx6jX79%2B9OjRg1mzZrFp0yYqKio4ffo0GzduJDU1laioKAYMGMATTzzBhg0bGjS3iIiISEN4LWB99dVX3H777WRkZHiM5%2BTkcMsttxAUFOQei4mJITs7212PjY1112w2G1FRUWRnZ1NbW8vXX3/tUY%2BOjubMmTPk5eWRl5dHTU0NDofDY985OTnU1dXVO7eIiIhIQ1i9NfFDDz10wXGn00l4eLjHWKtWrSgsLKy3Xl5eTlVVlUfdarXSokULCgsL8fPzIzQ0lICAAHe9devWVFVVUVZWVu/cDVVcXIzT6fQYs1qDztt3U/P39/P4biZm7c2sfYF5e1Nf1xer9do9HmZ%2BzXyxN68FrIupqKjwCEAAAQEBVFdX11uvrKx0P75Q3eVyXbAGZy%2B2r2/uhsrIyCA9Pd1jLDExkeTk5Mvaj1FCQmxemfdqMGtvZu0LzNub%2Bro%2BhIYGe3sJ9TLza%2BZLvV1zASswMJCysjKPserqapo1a%2Bau/zzwVFdXExISQmBgoPvxz%2Bs2m43a2toL1gCaNWtW79wNNWrUKOLj4z3GrNYgSktPXdZ%2BrpS/vx8hITbKyyuora27qnM3NbP2Zta%2BwLy9qa/ry9X%2BOX45zPyaXUlv3grF11zAioiI4NChQx5jJSUl7tNrERERlJSUnFfv1q0bLVq0IDAwkJKSEjp16gRATU0NZWVlhIWF4XK5KC0tpaamBqv1bOtOp5NmzZoREhJS79wNFR4eft42TucJamq884avra3z2txNzay9mbUvMG9v6uv64AvHwsyvmS/1ds2dzLTb7fz97393n%2B4DyMrKwm63u%2BtZWVnuWkVFBQcOHMBut%2BPn50f37t096tnZ2VitVrp27Uq3bt2wWq0eF61nZWXRvXt3/Pz86p1bREREpCGuuYDVq1cv2rRpQ0pKCgcPHmT58uXk5uYyfPhwABISEti7dy/Lly/n4MGDpKSk0K5dO26//Xbg7MXzK1euZMeOHeTm5jJz5kxGjhyJzWbDZrMxdOhQZs6cSW5uLjt27GDVqlWMGTOmQXOLiIiINMQ1F7D8/f157bXXcDqdDBs2jD/84Q%2B8%2BuqrREZGAtCuXTt%2B//vfs2nTJoYPH05ZWRmvvvoqFosFgPvuu4%2BJEyfy0ksvMW7cOHr06MGUKVPc%2B09JSSEqKorHHnuMWbNmMWnSJO65554GzS0iIiLSEBbXuVugS5NyOk9c9TmtVj9CQ4MpLT3lM%2BesG8qsvZm1LzBvb%2Brrygxe8tcm23dT%2BPiZ3t5ewkWZ9b0IV9ZbWNgNTbSqS7vmPsESERER8XUKWCIiIiIGU8ASERERMZgCloiIiIjBFLBEREREDKaAJSIiImIwBSwRERERgylgiYiIiBhMAUtERETEYApYIiIiIgZTwBIRERExmAKWiIiIiMEUsEREREQMpoAlIiIiYjCrtxcgIiLGGrzkr95egsh1T59giYiIiBhMAUtERETEYApYIiIiIgZTwBIRERExmAKWiIiIiMEUsEREREQMpoAlIiIiYjAFLBERERGDKWCJiIiIGEwBS0RERMRgClgiIiIiBrtmA9b//M//0KVLF4%2Bv5ORkAA4cOMCIESOw2%2B0kJCSwf/9%2Bj20zMzPp378/drudxMREjh8/7q65XC4WLVpEXFwcvXr1Ii0tjbq6One9tLSUSZMm4XA4iI%2BPZ8uWLVenYRERETGNazZgHTp0iH79%2BrFr1y7319y5czl9%2BjQTJkwgNjaWDz/8EIfDwcSJEzl9%2BjQAubm5pKamkpSUREZGBuXl5aSkpLj3u3r1ajIzM0lPT2fZsmVs3bqV1atXu%2BspKSmcOHGCjIwMnnrqKaZPn05ubu5V719ERER81zUbsA4fPkznzp0JCwtzf4WEhLBt2zYCAwOZOnUqnTp1IjU1leDgYLZv3w7A%2BvXrGTx4MEOHDqVr166kpaWxc%2BdO8vPzAVi3bh3JycnExsYSFxfH5MmT2bBhAwBHjhzhs88%2BY%2B7cuXTu3JkRI0Zw//33884773jtOIiIiIjvuaYDVocOHc4bz8nJISYmBovFAoDFYuG2224jOzvbXY%2BNjXU/v02bNkRGRpKTk0NRUREFBQX07NnTXY%2BJieHo0aMUFxeTk5NDmzZtaNeunUd93759TdSliIiImNE1GbBcLhf/%2Bte/2LVrFwMHDqR///4sWrSI6upqnE4n4eHhHs9v1aoVhYWFABQXF1%2B07nQ6ATzqrVu3BnDXL7RtUVGR4T2KiIiIeVm9vYALOXbsGBUVFQQEBLBkyRJ%2B%2BOEH5s6dS2VlpXv83wUEBFBdXQ1AZWXlReuVlZXux/9eA6iurq533w1VXFzsDnPnWK1B54W3pubv7%2Bfx3UzM2ptZ%2BwLz9mbWvuTCrNZr93U283vRF3u7JgNW27Zt2b17N7/85S%2BxWCx069aNuro6pkyZQq9evc4LPNXV1TRr1gyAwMDAC9ZtNptHmAoMDHT/G8Bms11023P7bqiMjAzS09M9xhITE92/BXm1hYTYvDLv1WDW3szaF5i3N7P2JZ5CQ4O9vYR6mfm96Eu9XZMBC6BFixYejzt16kRVVRVhYWGUlJR41EpKStyfDkVERFywHhYWRkREBABOp9N9ndW5T5rO1S%2B27eUYNWoU8fHxHmNWaxClpacuaz9Xyt/fj5AQG%2BXlFdTW1tW/gQ8xa29m7QvM25tZ%2B5ILu9o/xy%2BHmd%2BLV9Kbt0LxNRmw/u///o/Jkyfz5z//GZvtbFr9xz/%2BQYsWLYiJieGtt97C5XJhsVhwuVzs3buXJ598EgC73U5WVhbDhg0DoKCggIKCAux2OxEREURGRpKVleUOWFlZWURGRhIeHk50dDRHjx6lsLCQG2%2B80V2Pjo6%2BrPWHh4efdzrQ6TxBTY133vC1tXVem7upmbU3s/YF5u3NrH2JJ194jc38XvSl3q7JgOVwOAgMDGT69OkkJiaSn59PWloaTzzxBIMGDWLx4sXMmzePBx98kPfee4%2BKigoGDx4MwOjRo3n00UeJjo6me/fuzJs3j7vvvpv27du764sWLXIHqMWLFzNu3DgA2rdvT58%2BfZgyZQqpqal8/fXXZGZmsn79eu8cCPGqwUv%2B6u0lXJaPn%2Bnt7SWImJ5%2BLkhDXZMBq3nz5qxcuZL58%2BeTkJBAcHAwDz74IE888QQWi4U333yTGTNm8P7779OlSxeWL19OUFAQcDaczZ49m2XLlvHTTz/Ru3dv5syZ4973%2BPHj%2BfHHH0lKSsLf35/hw4czduxYdz0tLY3U1FRGjhxJWFgY8%2BfPp0ePHlf7EIiIiIgPs7hcLpe3F3E9cDpPXPU5rVY/QkODKS095TMfqTbU1ehN/0/VWGZ9P16Lffnae1eazrX%2Bc6GhruS/s7CwG5poVZfmO7/vKCIiIuIjFLBEREREDKaAJSIiImIwBSwRERERgylgiYiIiBhMAUtERETEYApYIiIiIgZTwBIRERExmAKWiIiIiMEUsEREREQMpoAlIiIiYjAFLBERERGDKWCJiIiIGEwBS0RERMRgClgiIiIiBlPAEhERETGYApaIiIiIwRSwRERERAymgCUiIiJiMAUsEREREYMpYImIiIgYTAFLRERExGAKWCIiIiIGU8ASERERMZgCloiIiIjBFLBEREREDKaAJSIiImIwBawLqKqqYtq0acTGxtKnTx9WrVrl7SWJiIiID7F6ewHXorS0NPbv38/atWs5duwYzz//PJGRkQwaNMjbSxMRLxi85K/eXoKI%2BBgFrJ85ffo0Gzdu5K233iIqKoqoqCgOHjzIhg0bFLBERESkQXSK8Gfy8vKoqanB4XC4x2JiYsjJyaGurs6LKxMRERFfoU%2BwfsbpdBIaGkpAQIB7rHXr1lRVVVFWVkbLli3r3UdxcTFOp9NjzGoNIjw83PD1Xoq/v5/HdzMxc2%2BNpdNYIvJzVqs5fkb64s98Bayfqaio8AhXgPtxdXV1g/aRkZFBenq6x1hSUhKTJk0yZpENVFxczNq1Kxg1atRVD3dN7Wr09rd5V/%2BUcHFxMRkZGaZ9zczYm/ryPWbtzax9gW/%2B75nvRMGrJDAw8Lwgde5xs2bNGrSPUaNG8eGHH3p8jRo1yvC11sfpdJKenn7ep2lmYNbezNoXmLc39eV7zNqbWfsC3%2BxNn2D9TEREBKWlpdTU1GC1nj08TqeTZs2aERIS0qB9hIeH%2B0zCFhEREePpE6yf6datG1arlezsbPdYVlYW3bt3x89Ph0tERETqp8TwMzabjaFDhzJz5kxyc3PZsWMHq1atYsyYMd5emoiIiPgI/5kzZ8709iKuNXFxcRw4cIDFixfzxRdf8OSTT5KQkODtZTVKcHAwvXr1Ijg42NtLMZxZezNrX2De3tSX7zFrb2btC3yvN4vL5XJ5exEiIiIiZqJThCIiIiIGU8ASERERMZgCloiIiIjBFLBEREREDKaAJSIiImIwBSwRERERgylgiYiIiBhMAUtERETEYApYJjNr1iweffRRj7H8/HzGjh1LdHQ09957L7t27fKof/755wwZMgS73c6YMWPIz8%2B/mku%2BpPLyclJTU7nzzjuJi4vjhRdeoLy83F0vLS1l0qRJOBwO4uPj2bJli8f2Bw4cYMSIEdjtdhISEti/f//VbqHBqqqqmDZtGrGxsfTp04dVq1Z5e0kNUlRURHJyMr169aJv374sWLCAqqoqwLffez83YcIEXnjhBffj%2Bt5bmZmZ9O/fH7vdTmJiIsePH7/aS76o6upqZs2aRc%2BePbnzzjt55ZVXOHfPaV/uC6CgoICJEydy2223ER8fz5o1a9w1X%2ByturqaIUOGsHv3bvfYlf53tWbNGvr27YvD4WDatGlUVFRclV5%2B7kK9ZWdn8%2BCDD%2BJwOBg4cCAbN2702MZXegPAJaaRlZXl6tKli%2BuRRx5xj9XV1bl%2B85vfuJ577jnXoUOHXG%2B88YbLbre7jh496nK5XK6jR4%2B6oqOjXStXrnT985//dP3Xf/2Xa8iQIa66ujpvteHhmWeecQ0bNsz19ddfu/bv3%2B8aPny4a9KkSe76xIkTXY899pjrm2%2B%2Bcb3//vuuW2%2B91ZWTk%2BNyuVyuU6dOuXr37u16%2BeWXXYcOHXLNmTPHdeedd7pOnTrlrXYuafbs2a7f/OY3rv3797v%2B9Kc/uRwOh%2Bvjjz/29rIuqa6uzjVy5EjXE0884frnP//p2rNnj2vAgAGul19%2B2effe/8uMzPT1blzZ9fzzz/vcv1/7dx9bFNVHwfw75aGdsYQVLYFN4NG7ejYXe/aZS/ZnHEiIhUl8WUG0SmakQAmRDNwJJshNSEyEYMsUoPBCVLGizQZi%2BKiqIn4urEbgYEbG2PKZK12mdtot66/5w%2Be3We3rCs%2BK%2Bu95PdJ9kfP6cb50nPu/fX29lDkuSVJEmVmZtLhw4eptbWVli9fTmVlZbGMoFBZWUkLFy4kSZLo%2BPHjlJubS06nU/O5iJpjy2YAAAnwSURBVIiefvppWrt2LXV2dlJjYyOZzWb64osvNJnN5/PR6tWryWg00g8//EBEUz%2Bmf/7552S1Wumrr74iSZJo8eLFtHHjRlVk6%2B3tpezsbNqyZQt1dnbSkSNHSBAEOnbsmKayjeEC6wbh9/vJZrNRSUmJosA6fvw4iaKoKCpKS0tp27ZtRET07rvvKp4/NDREWVlZ8oSPpcHBQTKZTNTS0iK3NTc3k8lkIp/PR11dXWQ0Gqm7u1vu37Bhg3wSPHDgABUXF8uLLxgM0kMPPUSHDh2a3iDXYHBwkARBUPy/19TUKF4bNWpvbyej0Uhut1tuq6%2Bvp8LCQk3PvfG8Xi8VFRXRE088cc1zq7y8XH4uEdHFixcpLS2NLly4MP0BQni9XkpPT6cff/xRbnM4HPT6669rOhcRUV9fHxmNRjp79qzctmbNGtq4caPmsrW1tdFjjz1GS5YsURQhU11Xy5Ytk59LRPTzzz9TZmYmDQ0NTUcsIgqfbe/evbRo0SLFcysrK%2BnVV18lIm1kG48/IrxBfPDBB0hLS0NBQYGiXZIkpKen46abbpLbrFYrWlpa5P7s7Gy5LyEhAfPnz5f7Yyk%2BPh47duyAyWRStI%2BOjmJwcBCSJGHOnDlITU2V%2B6xWK06cOAHgSjar1Yq4uDgAQFxcHCwWiyqyhTpz5gwCgQCysrLkNqvVCkmSEAwGYziyySUmJmLnzp2YPXu2on1gYEDTc2%2B8t956C48//jjuueceuS3S3ArNNmfOHNx%2B%2B%2B2QJGl6Bz%2BBpqYm3HzzzcjJyZHbysrKsGnTJk3nAgCDwYCEhAR8%2BumnGBkZQUdHB5qbm2EymTSX7aeffkJubi7q6uoU7VNZV6Ojo/j1118V/aIoYmRkBGfOnLnOif4nXLaxWwxCDQwMANBGtvG4wLoBnDt3Dk6nExUVFVf1ud1uJCUlKdpuu%2B02/Pnnn9fUH0sGgwFFRUWYMWOG3Pbxxx8jLS0Nt956a9ixX7p0CYC6s4Vyu9245ZZbFFlnz54Nv9%2BPvr6%2BGI5scjNnzsR9990nPw4Gg9izZw/y8vI0PffGfP/99/jll1%2BwatUqRXuksff29qo2W3d3N1JSUuByubBo0SI8%2BOCDqKmpQTAY1HQuANDr9aiqqkJdXR3MZjMeeeQRFBUV4amnntJctmXLlmHDhg1ISEhQtE9lXfX398Pv9yv6dTodZs2aNa05w2VLTU2FKIry47/%2B%2BgsNDQ3Iz88HoI1s4%2Bli8q%2Byf8Xn88lFQ6jExERUVVXhlVdeueoqAgBcvnxZcdIGgBkzZmB4ePia%2Bq%2B3SNnGv0vbs2cPPvvsM%2BzcuROA%2BrP9G%2BHGCkCV4w2nuroap0%2BfxsGDB/HRRx9p%2BvXx%2B/144403UFVVBYPBoOiLNHafz6fabENDQ%2Bjq6sK%2BffuwadMmuN1uVFVVISEhQdO5xpw7dw4PPPAAXnzxRbS1tcFutyM/P/%2BGyAZM7bjn8/nkx%2BF%2BXy18Pp98XispKQGgvWxcYGmAJEl4/vnnJ%2Bx77bXXMDo6Kk/AUHq9/qorIMPDw/IJQ6/XXzX5hoeHMXPmzCiMPLLJstXU1GDBggUAgE8%2B%2BQRvvvkmKioqUFhYCCD82CNlCz1ZqkG4sQJQ5XgnUl1djdraWmzduhVGo1H1cy%2BS7du3IyMjQ3GFbsz/O/dC37HHgk6nw8DAALZs2YKUlBQAwMWLF%2BF0OjF37lzN5gKuXHE8ePAgvvnmGxgMBgiCgEuXLuH999/HHXfcoelsY6ayrvR6vfw4tF9NOQcHB7Fq1SqcP38ee/fulcemtWxcYGlAbm4uzp49O2Hfc889h5MnT8JisQAARkZGMDo6iqysLDQ0NCA5ORnt7e2K3/F4PPJl1OTkZHg8nqv6Q%2B97ul4myzbmww8/xObNm7Fu3TqUlpbK7eHGnpiYOGl/6CVmNUhOTobX60UgEIBOd2VZut1uGAwG1RQck7Hb7XA6naiursbDDz8MAKqfe5E0NDTA4/HI98WNHbiPHj2KRx99dNK5FWluxlJiYiL0er1cXAHAXXfdhZ6eHuTk5Gg2FwCcPHkSc%2BfOVbwpSU9Px44dO5Cdna3pbGOmsq5mzZoFvV4Pj8eDu%2B%2B%2BGwAQCATQ19enmpwDAwN4%2BeWXceHCBdTW1uLOO%2B%2BU%2B7SWje/B0ri3334bDQ0NcLlccLlceOaZZ5CRkQGXy4WkpCSYzWacOnVKvnwKXLnJ1Ww2AwDMZjOamprkvsuXL%2BP06dNyf6wdPnwYmzdvRkVFBV566SVFnyiK%2BOOPPxSfrzc1Ncmf4ZvNZpw4cULe34eI0NzcrJps45lMJuh0OsUN3k1NTRAEAfHx6l6m27dvx759%2B/DOO%2B/AZrPJ7Vqfe7t370Z9fb28toqLi1FcXAyXyxVxboVm6%2BnpQU9Pjyqymc1m%2BP1%2BdHZ2ym0dHR1ISUnRdC4ASEpKQldXl%2BIqRkdHB1JTUzWfbcxU1lV8fDwEQVD0t7S0QKfTYd68edMXIoxgMIg1a9bg999/x%2B7du3Hvvfcq%2BjWXLSbfXWTXzbZt2xRfYw0EArR48WJau3Yt/fbbb%2BRwOEgURXnPlO7ubhIEgRwOh7yvyJIlS1SxF5HX6yVRFGn9%2BvXU29ur%2BAkEAkREtGLFClq%2BfDm1trbS/v37SRAEeR%2Bsf/75h/Ly8shut1NbWxvZ7XYqKChQ7T5YlZWVZLPZSJIkamxsJIvFQkePHo31sCbV3t5OJpOJtm7dOuFrpNW5N5H169fLX%2BOPNLeam5tp/vz5tH//fnlPpZUrV8Zy%2BAplZWVUUlJCra2t9O2331JeXh7V1tZqPld/fz8VFBRQeXk5dXR00Jdffkk5OTnkdDo1nW38VgZTXVdHjhwhi8VCjY2NJEkS2Ww2stvtqshWV1dH8%2BbNo2PHjimOJV6vV5PZuMC6wYQWWERE58%2Bfp2effZYyMjLIZrPRd999p%2Bj/%2BuuvaeHChZSZmUmlpaWq2dNmbHPHiX7G9r7yeDy0cuVKEgSBiouLqb6%2BXvE3JEmipUuXkiAI9OSTT9KpU6diEeWaDA0N0bp160gURSosLKRdu3bFekgRORyOsK8RkXbn3kTGF1hEkefWoUOH6P777ydRFGn16tX0999/T/eQw%2Brv76fy8nISRZHy8/Ppvffek09SWs5FdGWPpRdeeIEsFgstWLCAdu3apfls44sQoqmvK4fDQfn5%2BWS1WqmiooJ8Pt%2B05JjI%2BGwrVqyY8Fgy/pympWxxRP%2B9XsoYY4wxxqJC3Td3MMYYY4xpEBdYjDHGGGNRxgUWY4wxxliUcYHFGGOMMRZlXGAxxhhjjEUZF1iMMcYYY1HGBRZjjDHGWJRxgcUYY4wxFmVcYDHGGGOMRRkXWIwxxhhjUcYFFmOMMcZYlHGBxRhjjDEWZVxgMcYYY4xF2X8A/AlJOXe42GwAAAAASUVORK5CYII%3D"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common-5282377855972634074">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">661.3342</td>
<td class="number">296</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-3.123051</td>
<td class="number">150</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">710.6032</td>
<td class="number">108</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-1.96558</td>
<td class="number">90</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">777.5021</td>
<td class="number">57</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">527.4843</td>
<td class="number">45</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">723.4394</td>
<td class="number">9</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">765.2866</td>
<td class="number">7</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">725.8975</td>
<td class="number">6</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">780.2766</td>
<td class="number">5</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (509044)</td>
<td class="number">566814</td>
<td class="number">99.4%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">2713</td>
<td class="number">0.5%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme-5282377855972634074">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">-431.1853</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-318.1599</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-289.5666</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-289.321</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-288.8535</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">1124.594</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">1131.596</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">1141.22</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">1150.644</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">1172.474</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4">XI84123.PV<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>1072</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>0.2%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.2%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1308</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>0.046375</td>
</tr>
<tr>
<th>Minimum</th>
<td>0</td>
</tr>
<tr>
<th>Maximum</th>
<td>0.2</td>
</tr>
<tr class="alert">
<th>Zeros (%)</th>
<td>11.6%</td>
</tr>
</table>
</div>
</div>
</div>
<div class="col-md-3 collapse in" id="minihistogram-8578661323079303446">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAAR1JREFUeJzt3cEJwkAQQFEVS7IIe/JsTxZhT2sD8jEByUbfuwfm8plAAnMcY4wD8NZp6wFgZuetB9jK5fZY/Mzzfv3CJMzMBoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgfC3F6bWWHqVykWq/bNBIEy3QdwOZCY2CASBQBAIBIFAEAgEgUAQCITpvoOssebbCXzCBoHwExtkVv4K2L/jGGNsPQTMyisWBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIhBfMuxX%2BuaH/LgAAAABJRU5ErkJggg%3D%3D">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives-8578661323079303446,#minihistogram-8578661323079303446"
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</div>
<div class="row collapse col-md-12" id="descriptives-8578661323079303446">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles-8578661323079303446"
aria-controls="quantiles-8578661323079303446" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram-8578661323079303446" aria-controls="histogram-8578661323079303446"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common-8578661323079303446" aria-controls="common-8578661323079303446"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme-8578661323079303446" aria-controls="extreme-8578661323079303446"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles-8578661323079303446">
<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>0.04375</td>
</tr>
<tr>
<th>Median</th>
<td>0.053122</td>
</tr>
<tr>
<th>Q3</th>
<td>0.059375</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>0.06875</td>
</tr>
<tr>
<th>Maximum</th>
<td>0.2</td>
</tr>
<tr>
<th>Range</th>
<td>0.2</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>0.015625</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>0.020846</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.44951</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>1.189</td>
</tr>
<tr>
<th>Mean</th>
<td>0.046375</td>
</tr>
<tr>
<th>MAD</th>
<td>0.014899</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>-1.2588</td>
</tr>
<tr>
<th>Sum</th>
<td>26387</td>
</tr>
<tr>
<th>Variance</th>
<td>0.00043456</td>
</tr>
<tr>
<th>Memory size</th>
<td>4.4 MiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram-8578661323079303446">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzs3XtYlHXC//HPwCww6rKiAol6/VxtPUQ6IKi0aqs%2BmtpJ87id1HTTCuXp2tQepPKsLWqpoZV5SNOMzMri6vCsPa49VpqLArnGrtpBU4EhITxwELh/f/hjfk2oHLrZYe7er%2Buay%2Bb%2Bzv29v5%2BZue3jzDDYDMMwBAAAANP4eXsBAAAAVkPBAgAAMBkFCwAAwGQULAAAAJNRsAAAAExGwQIAADAZBQsAAMBkFCwAAACTUbAAAABMRsECAAAwGQULAADAZBQsAAAAk1GwAAAATEbBAgAAMBkFCwAAwGQULAAAAJNRsAAAAExGwQIAADAZBQsAAMBkFCwAAACTUbAAAABMRsECAAAwGQULAADAZBQsAAAAk1GwAAAATEbBAgAAMBkFCwAAwGQULAAAAJNRsAAAAExGwQIAADAZBQsAAMBkFCwAAACTUbAAAABMRsECAAAwGQULAADAZBQsAAAAk1GwAAAATEbBAgAAMBkFCwAAwGR2by/gl8LlOmf6nH5%2BNrVo0VRnz15QZaVh%2BvzeYtVcknWzWTWXRDZfZNVcknWzNWSu0NBfmzpfbfEKlg/z87PJZrPJz8/m7aWYyqq5JOtms2ouiWy%2ByKq5JOtms2IuChYAAIDJKFgAAAAmo2ABAACYjIIFAABgMgoWAACAyShYAAAAJqNgAQAAmIyCBQAAYDIKFgAAgMkoWAAAACajYAEAAJiMggUAAGAyChYAAIDJ7N5eANBYDVvxibeXUCfvP9rH20sAAPw/vIIFAABgMgoWAACAyShYAAAAJvNqwfr22281efJkRUdHq3///lq3bp17bOHChercubPHZcuWLe7xtLQ0DRo0SE6nU/Hx8Tp79qx7zDAMLVu2THFxcerVq5eSk5NVWVnpHi8oKND06dMVHR2tgQMHaufOnR7rOnLkiMaMGSOn06lRo0bp8OHDDXgvAAAAq/FawaqsrNSUKVMUEhKit956S/PmzdPzzz%2Bvd999V5J0/PhxPfbYY9q7d6/7MmrUKElSVlaWkpKSNG3aNKWmpqqoqEiJiYnuuTdu3Ki0tDSlpKRo1apVevfdd7Vx40b3eGJios6dO6fU1FQ9/PDDeuKJJ5SVlSVJunjxoqZMmaLY2Fi9%2Beabio6O1tSpU3Xx4sV/470DAAB8mdcKVn5%2Bvrp27aq5c%2Beqffv2%2BsMf/qCbbrpJ6enpki4XrBtuuEGhoaHui8PhkCRt2bJFw4YN04gRI9SlSxclJydrz549OnnypCRp8%2BbNSkhIUGxsrOLi4jRjxgxt3bpVknTixAnt3r1bCxcuVKdOnTRmzBjdeeedevXVVyVJ7733ngIDAzVr1ix17NhRSUlJatq0qT744AMv3EsAAMAXea1ghYWFacWKFWrWrJkMw1B6eroOHDigXr166fz588rNzVX79u2vuG9mZqZiY2Pd11u3bq2IiAhlZmYqNzdXZ86cUc%2BePd3jMTExOnXqlPLy8pSZmanWrVurbdu2HuOHDh1yzx0TEyObzSZJstls6tGjhzIyMhrgXgAAAFbUKD7kPnDgQN1zzz2Kjo7WkCFDdPz4cdlsNr3wwgu6%2Beabdeedd%2Bqtt95y3z4vL09hYWEec7Rs2VI5OTlyuVyS5DHeqlUrSXKPX2nf3NxcSbrqeE5OjnmBAQCApTWKLxpdtWqV8vPzNXfuXC1ZskSRkZGy2Wzq0KGD7rvvPh04cEBPPvmkmjVrpsGDB6ukpEQBAQEecwQEBKisrEwlJSXu6z8ek6SysjIVFxdfdV9JNY7XRl5enrvoVbHbm1Qrbj%2BXv7%2Bfx59WYdVcDc1u9979ZeXHjGy%2Bx6q5JOtms2KuRlGwunXrJkkqLS3VjBkzdPDgQQ0YMEDNmzeXJHXp0kXffPONtm3bpsGDByswMLBa4SkrK5PD4fAoU4GBge7/liSHw3HVfYOCgiSpxvHaSE1NVUpKise2%2BPh4JSQk1HqOuggOdjTIvN5m1VwNJSSkqbeXYOnHjGy%2Bx6q5JOtms1IurxWs/Px8ZWRkaNCgQe5t119/vS5duqTz58%2BrRYsWHrfv0KGD9u3bJ0kKDw9Xfn5%2BtflCQ0MVHh4u6fJbfVWfs6p6Nalq/Gr7Xmvuurz6NG7cOA0cONBjm93eRAUFF2o9R234%2B/spONihoqJiVVRU1ryDj7BqroZm9vOrLqz8mJHN91g1l2TdbA2Zy1v/%2BPRawfruu%2B80bdo07dmzx12KDh8%2BrBYtWuiVV17RoUOH9PLLL7tvn52drQ4dOkiSnE6n0tPTNXLkSEnSmTNndObMGTmdToWHhysiIkLp6enugpWenq6IiAiFhYUpKipKp06dUk5Ojq677jr3eFRUlHvul156SYZhyGazyTAMHTx4UA899FCts4WFhVUrZC7XOZWXN8zJUFFR2WBze5NVczWUxnBfWfkxI5vvsWouybrZrJTLa292duvWTZGRkZo9e7aOHTumPXv2aOnSpXrooYc0YMAAHThwQOvXr9eJEyf06quv6u2339akSZMkSXfffbd27typ7du3Kzs7W7NmzVL//v3Vrl079/iyZcu0f/9%2B7d%2B/X8uXL9f48eMlSe3atVPfvn01c%2BZMZWdna/v27UpLS9O9994rSRo6dKiKioq0aNEiHTt2TIsWLVJxcbGGDRvmnTsKAAD4HK%2B9guXv7681a9ZowYIFGjdunBwOh%2B6//36NHz9eNptNK1eu1KpVq7Ry5Uq1adNGy5cvV3R0tCQpOjpa8%2BfP16pVq/TDDz%2BoT58%2BWrBggXvuyZMn6/vvv9e0adPk7%2B%2Bv0aNHa%2BLEie7x5ORkJSUlaezYsQoNDdXixYvVvXt3SVKzZs304osvas6cOXr99dfVuXNnrV27Vk2aNPm33j8AAMB32QzDMLy9iF8Cl%2Buc6XPa7X4KCWmqgoILlnlJVWo8uYat%2BMRrx66P9x/t47VjN5bHrCGQzfdYNZdk3WwNmSs09Nemzldb1vl5SAAAgEaCggUAAGAyChYAAIDJKFgAAAAmo2ABAACYjIIFAABgMgoWAACAyShYAAAAJqNgAQAAmIyCBQAAYDIKFgAAgMkoWAAAACajYAEAAJiMggUAAGAyChYAAIDJKFgAAAAmo2ABAACYjIIFAABgMgoWAACAyShYAAAAJqNgAQAAmIyCBQAAYDIKFgAAgMkoWAAAACajYAEAAJiMggUAAGAyChYAAIDJKFgAAAAmo2ABAACYjIIFAABgMgoWAACAybxasL799ltNnjxZ0dHR6t%2B/v9atW%2BceO3nypCZOnKioqCjdeuut2rt3r8e%2Bn376qW6//XY5nU6NHz9eJ0%2Be9Bh/%2BeWX1a9fP0VHR2v27NkqLi52j5WWlmr27NmKjY1V3759tWHDBo99azo2AADAtXitYFVWVmrKlCkKCQnRW2%2B9pXnz5un555/Xu%2B%2B%2BK8MwFB8fr1atWmnHjh0aPny4pk2bptOnT0uSTp8%2Brfj4eI0cOVJvvPGGWrRooUceeUSGYUiSPvzwQ6WkpGj%2B/PnatGmTMjMztXTpUvexk5OTdfjwYW3atElz5sxRSkqKPvjgA0mq8dgAAAA1sXvrwPn5%2Beratavmzp2rZs2aqX379rrpppuUnp6uVq1a6eTJk3rttdfUpEkTdezYUZ999pl27Nih6dOna/v27brxxhs1adIkSdKSJUvUp08fff755%2Brdu7c2b96sCRMmaMCAAZKkefPmafLkyZo5c6YMw9D27dv10ksvKTIyUpGRkTp69Ki2bt2qoUOHat%2B%2Bfdc8NgAAQE289gpWWFiYVqxYoWbNmskwDKWnp%2BvAgQPq1auXMjMzdcMNN6hJkybu28fExCgjI0OSlJmZqdjYWPeYw%2BFQZGSkMjIyVFFRoS%2B%2B%2BMJjPCoqSpcuXVJ2drays7NVXl6u6Ohoj7kzMzNVWVlZ47EBAABq4rVXsH5s4MCBOn36tAYMGKAhQ4Zo8eLFCgsL87hNy5YtlZOTI0lyuVxXHS8qKlJpaanHuN1uV/PmzZWTkyM/Pz%2BFhIQoICDAPd6qVSuVlpaqsLDwmnPXVl5enlwul8c2u71JtXl/Ln9/P48/rcKquRqa3e69%2B8vKjxnZfI9Vc0nWzWbFXI2iYK1atUr5%2BfmaO3eulixZouLiYo8CJEkBAQEqKyuTpGuOl5SUuK9fadwwjCuOSVJZWVmNx66N1NRUpaSkeGyLj49XQkJCreeoi%2BBgR4PM621WzdVQQkKaensJln7MyOZ7rJpLsm42K%2BVqFAWrW7duki7/dN%2BMGTM0atQoj5/6ky6Xn6CgIElSYGBgtcJTVlam4OBgBQYGuq//dNzhcKiiouKKY5IUFBSkwMBAFRYWXvXYtTFu3DgNHDjQY5vd3kQFBRdqPUdt%2BPv7KTjYoaKiYlVUVJo6tzdZNVdDM/v5VRdWfszI5nusmkuybraGzOWtf3x69UPuGRkZGjRokHvb9ddfr0uXLik0NFRfffVVtdtXvcUWHh6u/Pz8auNdu3ZV8%2BbNFRgYqPz8fHXs2FGSVF5ersLCQoWGhsowDBUUFKi8vFx2%2B%2BX4LpdLQUFBCg4OVnh4uI4dO3bVY9dGWFhYtdu7XOdUXt4wJ0NFRWWDze1NVs3VUBrDfWXlx4xsvsequSTrZrNSLq%2B92fndd99p2rRpys3NdW87fPiwWrRooZiYGP3jH/9wv90nSenp6XI6nZIkp9Op9PR091hxcbGOHDkip9MpPz8/devWzWM8IyNDdrtdXbp0UdeuXWW32z0%2BtJ6enq5u3brJz89PTqfzmscGAACoidcKVrdu3RQZGanZs2fr2LFj2rNnj5YuXaqHHnpIvXr1UuvWrZWYmKijR49q7dq1ysrK0ujRoyVJo0aN0sGDB7V27VodPXpUiYmJatu2rXr37i1Juueee7R%2B/Xrt2rVLWVlZmjt3rsaOHSuHwyGHw6ERI0Zo7ty5ysrK0q5du7RhwwaNHz9ekmo8NgAAQE28VrD8/f21Zs0aORwOjRs3TklJSbr//vs1fvx495jL5dLIkSP1zjvvaPXq1YqIiJAktW3bVs8995x27Nih0aNHq7CwUKtXr5bNZpMk3XbbbZo6daqeeuopTZo0Sd27d9fMmTPdx05MTFRkZKQmTJigefPmafr06brllls81nW1YwMAANTEZlR9/TkalMt1zvQ57XY/hYQ0VUHBBcu8Zy01nlzDVnzitWPXx/uP9vHasRvLY9YQyOZ7rJpLsm62hswVGvprU%2BerLet84QQAAEAjQcECAAAwGQULAADAZBQsAAAAk1GwAAAATEbBAgAAMBkFCwAAwGQULAAAAJNRsAAAAExGwQIAADAZBQsAAMBkFCwAAACTUbAAAABMRsECAAAwGQULAADAZBQsAAAAk1GwAAAATEbBAgAAMBkFCwAAwGQULAAAAJNRsAAAAExGwQIAADAZBQsAAMBkFCwAAACTUbAAAABMRsECAAAwGQULAADAZBQsAAAAk1GwAAAATEbBAgAAMJnXClZubq4SEhLUq1cv9evXT0uWLFFpaakkaeHChercubPHZcuWLe5909LSNGjQIDmdTsXHx%2Bvs2bPuMcMwtGzZMsXFxalXr15KTk5WZWWle7ygoEDTp09XdHS0Bg4cqJ07d3qs68iRIxozZoycTqdGjRqlw4cPN/A9AQAArMYrBcswDCUkJKi4uFhbt27Vs88%2Bq927d2vFihWSpOPHj%2Buxxx7T3r173ZdRo0ZJkrKyspSUlKRp06YpNTVVRUVFSkxMdM%2B9ceNGpaWlKSUlRatWrdK7776rjRs3uscTExN17tw5paam6uGHH9YTTzyhrKwsSdLFixc1ZcoUxcbG6s0331R0dLSmTp2qixcv/hvvHQAA4Ou8UrC%2B%2BuorZWRkaMmSJfrd736n2NhYJSQkKC0tTdLlgnXDDTcoNDTUfXE4HJKkLVu2aNiwYRoxYoS6dOmi5ORk7dmzRydPnpQkbd68WQkJCYqNjVVcXJxmzJihrVu3SpJOnDih3bt3a%2BHCherUqZPGjBmjO%2B%2B8U6%2B%2B%2Bqok6b333lNgYKBmzZqljh07KikpSU2bNtUHH3zghXsJAAD4Kq8UrNDQUK1bt06tWrXy2H7%2B/HmdP39eubm5at%2B%2B/RX3zczMVGxsrPt669atFRERoczMTOXm5urMmTPq2bOnezwmJkanTp1SXl6eMjMz1bp1a7Vt29Zj/NChQ%2B65Y2JiZLPZJEk2m009evRQRkaGWdEBAMAvgN0bBw0ODla/fv3c1ysrK7VlyxbFxcXp%2BPHjstlseuGFF/Txxx%2BrefPmeuCBB3TXXXdJkvLy8hQWFuYxX8uWLZWTkyOXyyVJHuNVJa5q/Er75ubmSpJcLpeuv/76auNHjx6tU768vDz3WqrY7U2qHfvn8vf38/jTKqyaq6HZ7d67v6z8mJHN91g1l2TdbFbM5ZWC9VNLly7VkSNH9MYbb%2Bgf//iHbDabOnTooPvuu08HDhzQk08%2BqWbNmmnw4MEqKSlRQECAx/4BAQEqKytTSUmJ%2B/qPxySprKxMxcXFV91XUo3jtZWamqqUlBSPbfHx8UpISKjTPLUVHOxokHm9zaq5GkpISFNvL8HSjxnZfI9Vc0nWzWalXF4vWEuXLtWmTZv07LPPqlOnTvrd736nAQMGqHnz5pKkLl266JtvvtG2bds0ePBgBQYGVis8ZWVlcjgcHmUqMDDQ/d%2BS5HA4rrpvUFCQJNU4Xlvjxo3TwIEDPbbZ7U1UUHChTvPUxN/fT8HBDhUVFauiorLmHXyEVXM1NLOfX3Vh5ceMbL7Hqrkk62ZryFze%2BsenVwvWggULtG3bNi1dulRDhgyRdPlzT1XlqkqHDh20b98%2BSVJ4eLjy8/M9xvPz8xUaGqrw8HBJl9/qq/qcVdVbdVXjV9v3WnPX9a29sLCwavu4XOdUXt4wJ0NFRWWDze1NVs3VUBrDfWXlx4xsvsequSTrZrNSLq%2B92ZmSkqLXXntNzzzzjG677Tb39pUrV2rixIket83OzlaHDh0kSU6nU%2Bnp6e6xM2fO6MyZM3I6nQoPD1dERITHeHp6uiIiIhQWFqaoqCidOnVKOTk5HuNRUVHuuQ8dOiTDMCRd/jqJgwcPyul0mp4fAABYl1cK1vHjx7VmzRo9%2BOCDiomJkcvlcl8GDBigAwcOaP369Tpx4oReffVVvf3225o0aZIk6e6779bOnTu1fft2ZWdna9asWerfv7/atWvnHl%2B2bJn279%2Bv/fv3a/ny5Ro/frwkqV27durbt69mzpyp7Oxsbd%2B%2BXWlpabr33nslSUOHDlVRUZEWLVqkY8eOadGiRSouLtawYcO8cTcBAAAf5ZW3CD/66CNVVFTo%2Beef1/PPP%2B8x9s9//lMrV67UqlWrtHLlSrVp00bLly9XdHS0JCk6Olrz58/XqlWr9MMPP6hPnz5asGCBe//Jkyfr%2B%2B%2B/17Rp0%2BTv76/Ro0d7vCKWnJyspKQkjR07VqGhoVq8eLG6d%2B8uSWrWrJlefPFFzZkzR6%2B//ro6d%2B6stWvXqkmTJg1/pwAAAMuwGVXvh6FBuVznTJ/TbvdTSEhTFRRcsMx71lLjyTVsxSdeO3Z9vP9oH68du7E8Zg2BbL7Hqrkk62ZryFyhob82db7ass4XTgAAADQSFCwAAACTUbAAAABMRsECAAAwGQULAADAZBQsAAAAk1GwAAAATEbBAgAAMBkFCwAAwGQULAAAAJNRsAAAAExWr4I1ZswYvfbaazp3zvzfrwcAAODr6lWw4uLi9MILL6hv377685//rL1794rfGQ0AAHBZvQrWY489pt27d2vNmjXy9/fX9OnT1b9/fz377LP6%2BuuvzV4jAACAT7HXd0ebzaY%2BffqoT58%2BKi4u1iuvvKI1a9Zo7dq16tGjhyZMmKBbbrnFzLUCAAD4hHoXLEnKy8vTO%2B%2B8o3feeUf/%2Bte/1KNHD911113KycnRE088oQMHDigpKcmstQIAAPiEehWsnTt3aufOndq/f79atGihESNGaNWqVWrfvr37Nq1bt9aiRYsoWAAA4BenXgUrKSlJAwYM0OrVq3XzzTfLz6/6R7k6dOig%2B%2B6772cvEAAAwNfUq2B9/PHHCgkJUWFhobtcZWVlKTIyUv7%2B/pKkHj16qEePHuatFAAAwEfU66cIz58/r6FDh%2Bqll15yb5syZYqGDx%2BuM2fOmLY4AAAAX1SvgrV48WL9n//zf/TAAw%2B4t7333ntq3bq1lixZYtriAAAAfFG9Ctbf//53/dd//ZdCQ0Pd21q0aKFZs2Zp3759pi0OAADAF9WrYNntdhUVFVXbXlxczDe6AwCAX7x6Faybb75ZCxcu1IkTJ9zbTp48qSVLlqhfv36mLQ4AAMAX1eunCB9//HE98MADGjJkiIKDgyVJRUVFioyMVGJioqkLBAAA8DX1KlgtW7bUW2%2B9pU8//VRHjx6V3W7X9ddfr5tuukk2m83sNQIAAPiUev%2BqHH9/f/Xr14%2B3BAEAAH6iXgXL5XJpxYoVOnjwoC5dulTtg%2B0fffSRKYsDAADwRfUqWE8%2B%2BaQOHz6s2267Tb/%2B9a/NXhMAAIBPq1fB2rdvn9atW6fY2Fiz1wMAAODz6vU1DU2aNFHLli1/1oFzc3OVkJCgXr16qV%2B/flqyZIlKS0slXf7Kh4kTJyoqKkq33nqr9u7d67Hvp59%2Bqttvv11Op1Pjx4/XyZMnPcZffvll9evXT9HR0Zo9e7aKi4vdY6WlpZo9e7ZiY2PVt29fbdiwwWPfmo4NAABQk3oVrOHDh2vdunWqqKio10ENw1BCQoKKi4u1detWPfvss9q9e7dWrFghwzAUHx%2BvVq1aaceOHRo%2BfLimTZum06dPS5JOnz6t%2BPh4jRw5Um%2B88YZatGihRx55xP05sA8//FApKSmaP3%2B%2BNm3apMzMTC1dutR97OTkZB0%2BfFibNm3SnDlzlJKSog8%2B%2BMC9rmsdGwAAoDbq9RZhYWGh0tLS9Le//U3t2rVTQECAx/jmzZuvuf9XX32ljIwMffLJJ2rVqpUkKSEhQX/5y19088036%2BTJk3rttdfUpEkTdezYUZ999pl27Nih6dOna/v27brxxhs1adIkSdKSJUvUp08fff755%2Brdu7c2b96sCRMmaMCAAZKkefPmafLkyZo5c6YMw9D27dv10ksvKTIyUpGRkTp69Ki2bt2qoUOHat%2B%2Bfdc8NgAAQG3U%2B2sabr/99nofNDQ0VOvWrXOXqyrnz59XZmambrjhBjVp0sS9PSYmRhkZGZKkzMxMj89%2BORwORUZGKiMjQ7Gxsfriiy80bdo093hUVJQuXbqk7OxsGYah8vJyRUdHe8z9wgsvqLKyssZjAwAA1Ea9CtaSJUt%2B1kGDg4M9vj%2BrsrJSW7ZsUVxcnFwul8LCwjxu37JlS%2BXk5EjSNceLiopUWlrqMW6329W8eXPl5OTIz89PISEhHq%2B4tWrVSqWlpSosLKzx2LWVl5cnl8vlsc1ub1Jt7p/L39/P40%2BrsGquhma3e%2B/%2BsvJjRjbfY9VcknWzWTFXvV/BysvL0%2Buvv66vv/5as2fP1oEDB9SpUyd16NChznMtXbpUR44c0RtvvKGXX3652luOAQEBKisrk3T5F0pfbbykpMR9/UrjhmFccUySysrKrjl3XaSmpiolJcVjW3x8vBISEuo0T20FBzsaZF5vs2quhhIS0tTbS7D0Y0Y232PVXJJ1s1kpV70K1rfffquxY8eqWbNmys3N1aOPPqr33ntPiYmJevnll%2BV0Oms919KlS7Vp0yY9%2B%2Byz6tSpkwIDA1VYWOhxm7KyMgUFBUmSAgMDqxWesrIyBQcHKzAw0H39p%2BMOh0MVFRVXHJOkoKCgGo9dW%2BPGjdPAgQM9ttntTVRQcKFO89TE399PwcEOFRUVq6Ki0tS5vcmquRqa2c%2BvurDyY0Y232PVXJJ1szVkLm/947NeBevpp5/WoEGDtHDhQvXo0UOS9Mwzz%2Bjxxx/XsmXL9Morr9RqngULFmjbtm1aunSphgwZIkkKDw/XsWPHPG6Xn5/vfnstPDxc%2Bfn51ca7du2q5s2bKzAwUPn5%2BerYsaMkqby8XIWFhQoNDZVhGCooKFB5ebns9svRXS6XgoKCFBwcXOOxayssLKzaPi7XOZWXN8zJUFFR2WBze5NVczWUxnBfWfkxI5vvsWouybrZrJSrXm92Hjx4UA888IDHL3a22%2B165JFHdOTIkVrNkZKSotdee03PPPOMbrvtNvd2p9Opf/zjH%2B63%2ByQpPT3d/aqY0%2BlUenq6e6y4uFhHjhyR0%2BmUn5%2BfunXr5jGekZEhu92uLl26qGvXrrLb7R4fWk9PT1e3bt3k5%2BdX47EBAABqo14Fq7KyUpWV1RvmhQsX5O/vX%2BP%2Bx48f15o1a/Tggw8qJiZGLpfLfenVq5dat26txMREHT16VGvXrlVWVpZGjx4tSRo1apQOHjyotWvX6ujRo0pMTFTbtm3Vu3dvSdI999yj9evXa9euXcrKytLcuXM1duxYORwOORwOjRgxQnPnzlVWVpZ27dqlDRs2aPz48ZJU47EBAABqo14Fq2/fvnrxxRc9SlZhYaGWLl2quLi4Gvf/6KOPVFFRoeeff159%2B/b1uPj7%2B2vNmjVyuVwaOXKk3nnnHa1evVoRERGSpLZt2%2Bq5557Tjh07NHr0aBUWFmr16tXuV9Nuu%2B02TZ06VU899ZQmTZqk7t27a%2BbMme5jJyYmKjIyUhMmTNC8efM0ffp03XLLLZJU47EBAABqw2ZUfQV6HeTm5mr8%2BPE6d%2B6cCgsL1aFDB506dUrNmzfXli1b1KZNm4ZYq09zuc6ZPqfd7qeQkKYqKLhgmfespcaTa9iKT7x27Pp4/9E%2BXjt2Y3nMGgLZfI9Vc0nWzdaQuUJDf23qfLVVrw%2B5h4eH6%2B2331ZaWpq%2B/PJLVVZW6u6779bw4cPVrFkzs9cIAADgU%2Br9PVgOh0Njxowxcy0AAACWUK%2BCVfWh8Kup6XcRAgAAWFnumaOsAAAgAElEQVS9CtZPP2NVXl6ub7/9Vv/61780YcIEUxYGAADgq0z9XYSrV6%2Bu8%2B/tAwAAsBpTf6vi8OHD9f7775s5JQAAgM8xtWAdOnSoVl80CgAAYGWmfcj9/Pnz%2Buc//6l77rnnZy8KAADAl9WrYEVERHj8HkJJ%2BtWvfqX77rtPd955pykLAwAA8FX1KlhPP/202esAAACwjHoVrAMHDtT6tj179qzPIQAAAHxWvQrW/fff736L8Me/yvCn22w2m7788sufu0YAAACfUq%2BC9cILL2jhwoWaOXOmevXqpYCAAH3xxReaP3%2B%2B7rrrLt16661mrxMAAMBn1OtrGpYsWaKnnnpKQ4YMUUhIiJo2baq4uDjNnz9f27ZtU5s2bdwXAACAX5p6Fay8vLwrlqdmzZqpoKDgZy8KAADAl9WrYEVFRemZZ57R%2BfPn3dsKCwu1dOlS3XTTTaYtDgAAwBfV6zNYTzzxhMaPH6%2Bbb75Z7du3l2EY%2BuabbxQaGqrNmzebvUYAAACfUq%2BC1bFjR7333ntKS0vT8ePHJUn33nuvbrvtNjkcDlMXCAAA4GvqVbAk6Te/%2BY3GjBmj7777Tu3atZN0%2BdvcAQAAfunq9RkswzC0bNky9ezZU7fffrtycnL0%2BOOPKykpSZcuXTJ7jQAAAD6lXgXrlVde0c6dOzVnzhwFBARIkgYNGqRdu3YpJSXF1AUCAAD4mnoVrNTUVD311FMaOXKk%2B9vbb731Vi1cuFDvvvuuqQsEAADwNfUqWN999526du1abXuXLl3kcrl%2B9qIAAAB8Wb0KVps2bfTFF19U2/7xxx%2B7P/AOAADwS1WvnyKcPHmy5s2bJ5fLJcMw9Nlnnyk1NVWvvPKK/uu//svsNQIAAPiUehWsUaNGqby8XM8//7xKSkr01FNPqUWLFnr00Ud19913m71GAAAAn1KvgpWWlqahQ4dq3LhxOnv2rAzDUMuWLc1eGwAAgE%2Bq12ew5s%2Bf7/4we4sWLShXAAAAP1KvgtW%2BfXv961//MnstAAAAllCvtwi7dOmiGTNmaN26dWrfvr0CAwM9xpcsWWLK4gAAAHxRvV7B%2BvrrrxUTE6OmTZvK5XLpu%2B%2B%2B87jUVVlZmW6//Xbt37/fvW3hwoXq3Lmzx2XLli3u8bS0NA0aNEhOp1Px8fE6e/ase6zqV/nExcWpV69eSk5OVmVlpXu8oKBA06dPV3R0tAYOHKidO3d6rOfIkSMaM2aMnE6nRo0apcOHD9c5EwAA%2BOWq9StYycnJmjZtmpo0aaJXXnnFtAWUlpbqscce09GjRz22Hz9%2BXI899pjuuusu97ZmzZpJkrKyspSUlKR58%2BapS5cuWrRokRITE/Xiiy9KkjZu3Ki0tDSlpKSovLxcM2fOVMuWLTV58mRJUmJiokpKSpSamqrMzEw98cQT%2Bu1vf6vu3bvr4sWLmjJliu644w49/fTT2rZtm6ZOnaq//vWvatKkiWm5AQCAddX6FayNGzequLjYY9uUKVOUl5dX74MfO3ZMY8eO1YkTJ6qNHT9%2BXDfccINCQ0PdF4fDIUnasmWLhg0bphEjRqhLly5KTk7Wnj17dPLkSUnS5s2blZCQoNjYWMXFxWnGjBnaunWrJOnEiRPavXu3Fi5cqE6dOmnMmDG688479eqrr0qS3nvvPQUGBmrWrFnq2LGjkpKS1LRpU33wwQf1zgkAAH5Zal2wDMOotu3AgQMqLS2t98E///xz9e7dW6mpqR7bz58/r9zcXLVv3/6K%2B2VmZio2NtZ9vXXr1oqIiFBmZqZyc3N15swZ9ezZ0z0eExOjU6dOKS8vT5mZmWrdurXatm3rMX7o0CH33DExMe7fsWiz2dSjRw9lZGTUOycAAPhlqdeH3M1yzz33XHH78ePHZbPZ9MILL%2Bjjjz9W8%2BbN9cADD7jfLszLy1NYWJjHPi1btlROTo776yN%2BPN6qVStJco9fad/c3FxJksvl0vXXX19t/KdvYQIAAFyNVwvW1Xz11Vey2Wzq0KGD7rvvPh04cEBPPvmkmjVrpsGDB6ukpEQBAQEe%2BwQEBKisrEwlJSXu6z8eky5/mL64uPiq%2B0qqcbw28vLyqv3Sa7u9SbVi93P5%2B/t5/GkVVs3V0Ox2791fVn7MyOZ7rJpLsm42K%2BaqU8GqetusoY0YMUIDBgxQ8%2BbNJV3%2BWohvvvlG27Zt0%2BDBgxUYGFit8JSVlcnhcHiUqaqvj6i6rcPhuOq%2BQUFBklTjeG2kpqYqJSXFY1t8fLwSEhJqPUddBAc7GmReb7NqroYSEtLU20uw9GNGNt9j1VySdbNZKVedCtbChQs9vvPq0qVLWrp0qZo29fyL/ed%2BD5bNZnOXqyodOnTQvn37JEnh4eHKz8/3GM/Pz1doaKjCw8MlXX6rr%2BpzVlWvJlWNX23fa81dl1efxo0bp4EDB3pss9ubqKDgQq3nqA1/fz8FBztUVFSsiorKmnfwEVbN1dDMfn7VhZUfM7L5HqvmkqybrSFzeesfn7UuWD179qz2tld0dLQKCgpUUFBg6qJWrlypQ4cO6eWXX3Zvy87OVocOHSRJTqdT6enpGjlypCTpzJkzOnPmjJxOp8LDwxUREaH09HR3wUpPT1dERITCwsIUFRWlU6dOKScnR9ddd517PCoqyj33Sy%2B9JMMwZLPZZBiGDh48qIceeqjW6w8LC6tWyFyucyovb5iToaKissHm9iar5moojeG%2BsvJjRjbfY9VcknWzWSlXrQuWmd99VZMBAwZo7dq1Wr9%2BvQYPHqy9e/fq7bff1ubNmyVJd999t%2B6//35FRUWpW7duWrRokfr376927dq5x5ctW%2BYuUMuXL9ekSZMkSe3atVPfvn01c%2BZMJSUl6YsvvlBaWpr7S0yHDh2q5cuXa9GiRfrjH/%2Bo1157TcXFxRo2bNi/LT8AAPBtjfJD7t27d9fKlSu1atUqrVy5Um3atNHy5csVHR0t6fIrZ/Pnz9eqVav0ww8/qE%2BfPlqwYIF7/8mTJ%2Bv777/XtGnT5O/vr9GjR2vixInu8eTkZCUlJWns2LEKDQ3V4sWL1b17d0mXv8z0xRdf1Jw5c/T666%2Brc%2BfOWrt2LV8yCgAAas1mXOkLrmA6l%2Buc6XPa7X4KCWmqgoILlnlJVWo8uYat%2BMRrx66P9x/t47VjN5bHrCGQzfdYNZdk3WwNmSs09Nemzldb1vl5SAAAgEaCggUAAGAyChYAAIDJKFgAAAAmo2ABAACYjIIFAABgMgoWAACAyShYAAAAJqNgAQAAmIyCBQAAYDIKFgAAgMkoWAAAACajYAEAAJiMggUAAGAyChYAAIDJKFgAAAAmo2ABAACYjIIFAABgMgoWAACAyShYAAAAJqNgAQAAmIyCBQAAYDIKFgAAgMkoWAAAACajYAEAAJiMggUAAGAyChYAAIDJKFgAAAAmo2ABAACYjIIFAABgMq8XrLKyMt1%2B%2B%2B3av3%2B/e9vJkyc1ceJERUVF6dZbb9XevXs99vn00091%2B%2B23y%2Bl0avz48Tp58qTH%2BMsvv6x%2B/fopOjpas2fPVnFxsXustLRUs2fPVmxsrPr27asNGzZ47FvTsQEAAGri1YJVWlqqP//5zzp69Kh7m2EYio%2BPV6tWrbRjxw4NHz5c06ZN0%2BnTpyVJp0%2BfVnx8vEaOHKk33nhDLVq00COPPCLDMCRJH374oVJSUjR//nxt2rRJmZmZWrp0qXv%2B5ORkHT58WJs2bdKcOXOUkpKiDz74oFbHBgAAqA2vFaxjx45p7NixOnHihMf2ffv26eTJk5o/f746duyoqVOnKioqSjt27JAkbd%2B%2BXTfeeKMmTZqk3/3ud1qyZIlOnTqlzz//XJK0efNmTZgwQQMGDFD37t01b9487dixQ8XFxbp48aK2b9%2BupKQkRUZGavDgwfrTn/6krVu31urYAAAAteG1gvX555%2Brd%2B/eSk1N9diemZmpG264QU2aNHFvi4mJUUZGhns8NjbWPeZwOBQZGamMjAxVVFToiy%2B%2B8BiPiorSpUuXlJ2drezsbJWXlys6Otpj7szMTFVWVtZ4bAAAgNqwe%2BvA99xzzxW3u1wuhYWFeWxr2bKlcnJyahwvKipSaWmpx7jdblfz5s2Vk5MjPz8/hYSEKCAgwD3eqlUrlZaWqrCwsMZjA43ZsBWfeHsJtfb%2Bo328vQQAaFBeK1hXU1xc7FGAJCkgIEBlZWU1jpeUlLivX2ncMIwrjkmXP2xf07FrKy8vTy6Xy2Ob3d6kWnn7ufz9/Tz%2BtAqr5sL/Z7f7zmNr5eejVbNZNZdk3WxWzNXoClZgYKAKCws9tpWVlSkoKMg9/tPCU1ZWpuDgYAUGBrqv/3Tc4XCooqLiimOSFBQUVOOxays1NVUpKSke2%2BLj45WQkFCneWorONjRIPN6m1VzQQoJaertJdSZlZ%2BPVs1m1VySdbNZKVejK1jh4eE6duyYx7b8/Hz3qz/h4eHKz8%2BvNt61a1c1b95cgYGBys/PV8eOHSVJ5eXlKiwsVGhoqAzDUEFBgcrLy2W3X47ucrkUFBSk4ODgGo9dW%2BPGjdPAgQM9ttntTVRQcKFO89TE399PwcEOFRUVq6Ki0tS5vcmqufD/mX0uNCQrPx%2Btms2quSTrZmvIXN76B12jK1hOp1Nr165VSUmJ%2B5Wj9PR0xcTEuMfT09Pdty8uLtaRI0c0bdo0%2Bfn5qVu3bkpPT1fv3r0lSRkZGbLb7erSpYuky5/JysjIcH8QPj09Xd26dZOfn1%2BNx66tsLCwaqXM5Tqn8vKGORkqKiobbG5vsmouyCcfVys/H62azaq5JOtms1KuRvdmZ69evdS6dWslJibq6NGjWrt2rbKysjR69GhJ0qhRo3Tw4EGtXbtWR48eVWJiotq2besuVPfcc4/Wr1%2BvXbt2KSsrS3PnztXYsWPlcDjkcDg0YsQIzZ07V1lZWdq1a5c2bNig8ePH1%2BrYAAAAtdHoCpa/v7/WrFkjl8ulkSNH6p133tHq1asVEREhSWrbtq2ee%2B457dixQ6NHj1ZhYaFWr14tm80mSbrttts0depUPfXUU5o0aZK6d%2B%2BumTNnuudPTExUZGSkJkyYoHnz5mn69Om65ZZbanVsAACA2rAZVV%2BBjgblcp0zfU673U8hIU1VUHDBMi%2BpSo0nly997YGv8aWvaWgsz8eGYNVsVs0lWTdbQ%2BYKDf21qfPVVqN7BQsAAMDXUbAAAABMRsECAAAwGQULAADAZBQsAAAAk1GwAAAATEbBAgAAMBkFCwAAwGSN7ncRom5ikz7w9hJqzZe%2BXBIAgJ%2BDV7AAAABMRsECAAAwGQULAADAZBQsAAAAk1GwAAAATEbBAgAAMBkFCwAAwGQULAAAAJNRsAAAAExGwQIAADAZBQsAAMBkFCwAAACTUbAAAABMRsECAAAwGQULAADAZBQsAAAAk1GwAAAATEbBAgAAMBkFCwAAwGQULAAAAJNRsAAAAEzWaAvWX//6V3Xu3NnjkpCQIEk6cuSIxowZI6fTqVGjRunw4cMe%2B6alpWnQoEFyOp2Kj4/X2bNn3WOGYWjZsmWKi4tTr169lJycrMrKSvd4QUGBpk%2BfrujoaA0cOFA7d%2B789wQGAACW0WgL1rFjxzRgwADt3bvXfVm4cKEuXryoKVOmKDY2Vm%2B%2B%2Baaio6M1depUXbx4UZKUlZWlpKQkTZs2TampqSoqKlJiYqJ73o0bNyotLU0pKSlatWqV3n33XW3cuNE9npiYqHPnzik1NVUPP/ywnnjiCWVlZf3b8wMAAN/VaAvW8ePH1alTJ4WGhrovwcHBeu%2B99xQYGKhZs2apY8eOSkpKUtOmTfXBBx9IkrZs2aJhw4ZpxIgR6tKli5KTk7Vnzx6dPHlSkrR582YlJCQoNjZWcXFxmjFjhrZu3SpJOnHihHbv3q2FCxeqU6dOGjNmjO688069%2BuqrXrsfAACA72nUBat9%2B/bVtmdmZiomJkY2m02SZLPZ1KNHD2VkZLjHY2Nj3bdv3bq1IiIilJmZqdzcXJ05c0Y9e/Z0j8fExOjUqVPKy8tTZmamWrdurbZt23qMHzp0qIFSAgAAK2qUBcswDH399dfau3evhgwZokGDBmnZsmUqKyuTy%2BVSWFiYx%2B1btmypnJwcSVJeXt5Vx10ulyR5jLdq1UqS3ONX2jc3N9f0jAAAwLrs3l7AlZw%2BfVrFxcUKCAjQihUr9N1332nhwoUqKSlxb/%2BxgIAAlZWVSZJKSkquOl5SUuK%2B/uMxSSorK6tx7trKy8tzl7kqdnuTauXt5/L3b5T9%2BKrs9tqttyqXr%2BVD7dX2udAYWPn5aNVsVs0lWTebFXM1yoLVpk0b7d%2B/X7/5zW9ks9nUtWtXVVZWaubMmerVq1e1wlNWVqagoCBJUmBg4BXHHQ6HR5kKDAx0/7ckORyOq%2B5bNXdtpaamKiUlxWNbfHy8%2B6cgf6lCQprW6fbBwY4GWgm8ra7PhcbAys9Hq2azai7JutmslKtRFixJat68ucf1jh07qrS0VKGhocrPz/cYy8/Pd786FB4efsXx0NBQhYeHS5JcLpf7c1ZVrzRVjV9t37oYN26cBg4c6LHNbm%2BigoILdZqnJr7W9Gub39/fT8HBDhUVFauiorLmHeBzzD4XGpKVn49WzWbVXJJ1szVkLm/9g65RFqz//d//1YwZM/S3v/1NDsflNvvll1%2BqefPmiomJ0UsvvSTDMGSz2WQYhg4ePKiHHnpIkuR0OpWenq6RI0dKks6cOaMzZ87I6XQqPDxcERERSk9Pdxes9PR0RUREKCwsTFFRUTp16pRycnJ03XXXucejoqLqtP6wsLBqbwe6XOdUXm6dk6E%2B6pq/oqLyF3%2BfWZUvPq5Wfj5aNZtVc0nWzWalXI3yJZDo6GgFBgbqiSee0FdffaU9e/YoOTlZf/rTnzR06FAVFRVp0aJFOnbsmBYtWqTi4mINGzZMknT33Xdr586d2r59u7KzszVr1iz1799f7dq1c48vW7ZM%2B/fv1/79%2B7V8%2BXKNHz9ektSuXTv17dtXM2fOVHZ2trZv3660tDTde%2B%2B9XrsvAACA72mUr2A1a9ZM69ev1%2BLFizVq1Cg1bdpUf/zjH/WnP/1JNptNL774oubMmaPXX39dnTt31tq1a9WkSRNJl8vZ/PnztWrVKv3www/q06ePFixY4J578uTJ%2Bv777zVt2jT5%2B/tr9OjRmjhxons8OTlZSUlJGjt2rEJDQ7V48WJ17979330XAAAAH2YzDMPw9iJ%2BCVyuc6bPabf7afCy/zV93oby/qN9anU7u91PISFNVVBwwasvFQ9b8YnXjm11tX0uNAaN5fnYEKyazaq5JOtma8hcoaG/NnW%2B2mqUbxECAAD4MgoWAACAyShYAAAAJqNgAQAAmIyCBQAAYDIKFgAAgMkoWAAAACajYAEAAJiMggUAAGAyChYAAIDJKFgAAAAmo2ABAACYjIIFAABgMgoWAACAyShYAAAAJqNgAQAAmIyCBQAAYDIKFgAAgMkoWAAAACaze3sB%2BOUYtuITby8BAIB/C17BAgAAMBkFCwAAwGQULAAAAJNRsAAAAExGwQIAADAZBQsAAMBkFCwAAACTUbAAAABMRsECAAAwGQULAADAZBQsAAAAk1GwrqC0tFSzZ89WbGys%2Bvbtqw0bNnh7SQAAwIfwy56vIDk5WYcPH9amTZt0%2BvRpPf7444qIiNDQoUO9vTQAAOADKFg/cfHiRW3fvl0vvfSSIiMjFRkZqaNHj2rr1q0ULAAAUCsUrJ/Izs5WeXm5oqOj3dtiYmL0wgsvqLKyUn5%2BvKsK/FzDVnzi7SXUyd8X8Y8rAHVDwfoJl8ulkJAQBQQEuLe1atVKpaWlKiwsVIsWLWqcIy8vTy6Xy2Ob3d5EYWFhpq7V35%2ByB/y7WPF8q8pktWxWzSVZN5sVc1GwfqK4uNijXElyXy8rK6vVHKmpqUpJSfHYNm3aNE2fPt2cRf4/eXl5mnDdUY0bN8708uZNeXl5Sk1NtVwuybrZrJpLupztueees2y2TZvWWS6bVXNJ1s1mxVzWqYomCQwMrFakqq4HBQXVao5x48bpzTff9LiMGzfO9LW6XC6lpKRUe7XM11k1l2TdbFbNJZHNF1k1l2TdbFbMxStYPxEeHq6CggKVl5fLbr9897hcLgUFBSk4OLhWc4SFhVmmgQMAgLrjFayf6Nq1q%2Bx2uzIyMtzb0tPT1a1bNz7gDgAAaoXG8BMOh0MjRozQ3LlzlZWVpV27dmnDhg0aP368t5cGAAB8hP/cuXPnensRjU1cXJyOHDmi5cuX67PPPtNDDz2kUaNGeXtZV9S0aVP16tVLTZs29fZSTGXVXJJ1s1k1l0Q2X2TVXJJ1s1ktl80wDMPbiwAAALAS3iIEAAAwGQULAADAZBQsAAAAk1GwAAAATEbBAgAAMBkFCwAAwGQULAAAAJNRsAAAAExGwfKy0tJSzZ49W7Gxserbt682bNhw1dseOXJEY8aMkdPp1KhRo3T48GGP8bS0NA0aNEhOp1Px8fE6e/ase8wwDC1btkxxcXHq1auXkpOTVVlZ2WC5JPOyGYahtWvXauDAgerRo4cmTJigY8eOeezbuXNnj8vIkSMbfS5Jio2Nrbb2Cxcu1Pk4ZjEr208zVV3efvttSdJf//rXamMJCQmNIleVv//97/qP//iPatt9%2BTyrcqVsvnyeVbnaY%2BbL51mVK2Xz5fPsb3/7m4YPH67o6Gjdcccd%2BuijjzzGG9t5Vi8GvGr%2B/PnGHXfcYRw%2BfNj47//%2BbyM6Otp4//33q93uwoULRp8%2BfYynn37aOHbsmLFgwQLj97//vXHhwgXDMAwjMzPT6N69u/HWW28ZX375pXHfffcZU6ZMce%2B/fv164w9/%2BINx4MAB47PPPjP69u1rrFu3zieyvfrqq0bv3r2N//mf/zG%2B%2BuorY/bs2Ub//v2NixcvGoZhGDt37jSGDx9u5OXluS9nz55t9LlycnKMTp06GSdOnPBYe2VlZZ2O0xiz/ThPXl6ekZycbAwYMMAoKioyDMMw1qxZY0ydOtXjNj/88IPXc1XJzs42fv/73xsDBgzw2O7L51mVq2Xz1fOsply%2BfJ7VlM1Xz7Mvv/zSiIyMNDZt2mR88803xpYtW4zIyEjjyy%2B/NAyjcZ5n9UHB8qILFy4Y3bp1M/bt2%2Bfetnr1auO%2B%2B%2B6rdtvt27cbAwcOdP%2BlUFlZaQwePNjYsWOHYRiGMXPmTOPxxx933/706dNG586djRMnThiGYRh/%2BMMf3Lc1DMN4%2B%2B23q52sZjIz25gxY4wXX3zRffuysjIjKirK2Lt3r2EYhvHMM88Yf/7znxssy4%2BZmeuTTz4x%2BvTp87OPYxYzs/3YiRMnjG7duhmffPKJe9tjjz1mLF%2B%2BvAFSVFfX%2B3Lbtm1GVFSUcccdd1Q7R3z5PDOMa2fz1fPMMK6dy5fPM8O4drYf86XzbOnSpcbkyZM9tk2aNMl45plnDMNofOdZffEWoRdlZ2ervLxc0dHR7m0xMTHKzMys9nJnZmamYmJiZLPZJEk2m009evRQRkaGezw2NtZ9%2B9atWysiIkKZmZnKzc3VmTNn1LNnT4/jnDp1Snl5eY0%2B26xZs3TnnXe6b2%2Bz2WQYhs6dOydJOn78uNq3b98gOX7KzFzHjh3Tb3/72599HLOYme3HVq1apZtuukm///3v3dsa62MmSR9//LH%2B8pe/aOLEidXGfPk8k66dzVfPM%2BnauXz5PJOune3HfOk8u%2BuuuzRjxoxqc1Q91xrbeVZfFCwvcrlcCgkJUUBAgHtbq1atVFpaqsLCwmq3DQsL89jWsmVL5eTkSJLy8vKuOu5yuSTJY7xVq1aS5N7fbGZmi42N1XXXXece2759u8rLyxUTEyPp8l8iX375pe644w71799fTz31lM6fP9/ocx0/flzFxcW6//771bdvXz344IP6%2Buuv63ycxpityunTp5WWlqZHHnnEvc0wDH399dfau3evhgwZokGDBmnZsmUqKytrgFR1vy/XrFmjW2655Ypz%2BfJ5Jl07m6%2BeZ9K1c/nyeSZdO1sVXzvPOnbsqC5durivHz16VJ999pluuukmSY3vPKsvCpYXFRcXezwZJbmv//QkuNptq25XUlJy1fGSkhKPua91HLOYme3HMjMz9Ze//EWTJ09WaGioLl26pJMnT%2BrSpUtavHixFi1apIMHD2rmzJkmJ7r2WqW65/rqq6/0ww8/6OGHH9aaNWsUFBSkiRMn6vz583U6jlka4jF74403dOONN8rpdLq3nT592r3/ihUr9Pjjj%2Bvdd99VcnKymXFqXKtU9/vSl8%2BzuvCl86wmvnye1ZYvn2dnz57V9OnT1aNHD/eH%2BBvbeVZfdm8v4JcsMDCw2hOi6npQUFCtblt1u6uNOxwOjydfYGCgx3EcDodJaTyZma3KoUOH9OCDD%2Brmm2/Wf/7nf0qSfvWrX2nfvn0KDAzUr371K0nS008/rVGjRik3N1fh4eGNNtf69et16dIlNW3aVJK0bNky/eEPf9Du3bvrdByzNMRj9uGHH%2BqPf/yjx7Y2bdpo//79%2Bs1vfiObzaauXbuqsrJSM2fOVGJiovz9/c2KdM21SnW/L335PKstXzvPauLL51lt%2Bep5lp%2BfrwceeECGYWjVqlXy8/O75lzeOs/qi1ewvCg8PFwFBQUqLy93b3O5XAoKClJwcHC12%2Bbn53tsy8/Pd79MerXx0NBQ919%2BVS%2Bt/vi/Q0NDzQv0k/WalU2S9u/fr0mTJikuLk7Lly93n4iS1KxZM/df%2BtLll58lKTc319RMVWs1K1dAQID7L33p8l8qbdu2df8Pq7bHMYvZj9mZM2d07NixK/7YfPPmzd2f35IuP2alpaX64YcfzIrjsVaz7ktfPs9qwxfPs5r48nlWG756nuXm5uree%2B9VWVmZNm/erBYtWnjM1ZjOs/qiYHlR165dZbfbPT4YnJ6erm7dunn8xSZJTqdThw4d0tqxNEkAAAM2SURBVP9t545dWoeiMIDfJ/4BbkIXwaGLaKIUKyRFB0Gogg6CoyJCkUw6uKlDQAdBRCcddHES2l1cBJeAtJBBilEHEVJwLSQKlc/B19BQfVW5jybw/aBL0/bywT3tIU0OACHEx//rpVIpOCWsKIooFovB6yuViqhUKkJRFNHd3S0SiUToeLFYFIlEoul/7ihmcxxHLC8vi0wmI/b29kJf8vf392JwcFA8PT0Fz5XLZdHZ2Sl6enoimwuAGB8fF4VCIXi953ni8fFR9Pb2/midqGWrs207uDi10dXVlUin08L3/eC5crksurq6Ql%2By7cjVSpzrrJW41tm/xL3OviOOdeZ5nlhaWhIdHR3i9PS06Qxo1Ors19pw5yI1WF9fx%2BTkJGzbxsXFBYaGhnB%2Bfg7gY8aJ7/sAgGq1ipGREZimibu7O5imCU3TgrlDpVIJfX19ODs7C%2BaG5HK5YJ3Dw0Poug7LsmBZFnRdx/HxcSyyzc3NIZvNwnXd0DwX3/fx9vaG6elpzM/P4/b2FtfX18hms9jc3Ix8LtM0MTY2Bsuy4DgODMPA1NQUarVay3Wing0A9vf3sbi42LRGtVpFJpPB6uoqHh4ecHl5CV3XcXR01PZcjfL5fNOt33Gus1bZ4lpnrXLFuc5aZQPiWWe7u7sYGBiAbduhvVaf3xXFOvsNNlht5nke1tbWoKoqdF3HyclJcCyZTIZmfdi2jZmZGfT392N2dhY3Nzehz8rn8xgdHYWqqjAMIzQEsFarYWtrC6lUCul0Gjs7O8EMoyhne35%2BRjKZ/PRRf7/rujAMA6lUCsPDwzBNE6%2Bvr5HOBQAvLy/Y3t6GpmlQFAW5XA6u635rnahnA4CNjQ2srKx8uo7jOFhYWICqqtA0DQcHB/91P/4kV91XP2hxrrPGDI3Z4l5nX%2BUC4l9ndV/txzjW2cTExKd7rXH2VdTq7Df%2BAH/P8RMRERGRFLwGi4iIiEgyNlhEREREkrHBIiIiIpKMDRYRERGRZGywiIiIiCRjg0VEREQkGRssIiIiIsnYYBERERFJxgaLiIiISDI2WERERESSscEiIiIikowNFhEREZFkbLCIiIiIJHsHRvgSNUFNufYAAAAASUVORK5CYII%3D"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common-8578661323079303446">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">0.0</td>
<td class="number">66319</td>
<td class="number">11.6%</td>
<td>
<div class="bar" style="width:25%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.053125</td>
<td class="number">38491</td>
<td class="number">6.7%</td>
<td>
<div class="bar" style="width:15%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.05625</td>
<td class="number">36696</td>
<td class="number">6.4%</td>
<td>
<div class="bar" style="width:14%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.05</td>
<td class="number">35823</td>
<td class="number">6.3%</td>
<td>
<div class="bar" style="width:14%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.059375</td>
<td class="number">29062</td>
<td class="number">5.1%</td>
<td>
<div class="bar" style="width:11%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.046875</td>
<td class="number">27221</td>
<td class="number">4.8%</td>
<td>
<div class="bar" style="width:11%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.0625</td>
<td class="number">20385</td>
<td class="number">3.6%</td>
<td>
<div class="bar" style="width:8%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.04375</td>
<td class="number">19942</td>
<td class="number">3.5%</td>
<td>
<div class="bar" style="width:8%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.065625</td>
<td class="number">14356</td>
<td class="number">2.5%</td>
<td>
<div class="bar" style="width:6%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.040625</td>
<td class="number">13729</td>
<td class="number">2.4%</td>
<td>
<div class="bar" style="width:6%">&nbsp;</div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (1061)</td>
<td class="number">266968</td>
<td class="number">46.8%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme-8578661323079303446">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">0.0</td>
<td class="number">66319</td>
<td class="number">11.6%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">2.91038e-12</td>
<td class="number">475</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">4.72937e-12</td>
<td class="number">13</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">5.82077e-12</td>
<td class="number">646</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">6.18456e-12</td>
<td class="number">118</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">0.146854</td>
<td class="number">7</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:12%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.159375</td>
<td class="number">5</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:9%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.171873</td>
<td class="number">6</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:10%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.181243</td>
<td class="number">7</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:12%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.2</td>
<td class="number">60</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow ignore">
<div class="col-md-3 namecol">
<p class="h4"><s><code>XI84124.PV</code></s><br/>
<small>Highly correlated</small>
</p>
</div><div class="col-md-3">
<p><em>This variable is highly correlated with <code>XI84123.PV</code> and should be ignored for analysis</em></p>
</div>
<div class="col-md-6">
<table class="stats ">
<tr>
<th>Correlation</th>
<td>0.90831</td>
</tr>
</table>
</div>
</div><div class="row variablerow ignore">
<div class="col-md-3 namecol">
<p class="h4"><s><code>XI84125.PV</code></s><br/>
<small>Highly correlated</small>
</p>
</div><div class="col-md-3">
<p><em>This variable is highly correlated with <code>XI84124.PV</code> and should be ignored for analysis</em></p>
</div>
<div class="col-md-6">
<table class="stats ">
<tr>
<th>Correlation</th>
<td>0.90735</td>
</tr>
</table>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4">XI84201.PV<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>192508</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>33.8%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.2%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1307</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>105.14</td>
</tr>
<tr>
<th>Minimum</th>
<td>0</td>
</tr>
<tr>
<th>Maximum</th>
<td>726.87</td>
</tr>
<tr class="alert">
<th>Zeros (%)</th>
<td>1.7%</td>
</tr>
</table>
</div>
</div>
</div>
<div class="col-md-3 collapse in" id="minihistogram5032859458070382646">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAARxJREFUeJzt3bENwkAQAEFAlEQR9ERMTxRBT08DaCUsjB%2BYyS1dsjpf9PsxxtgBTx22HgBmdtx6gHc4XW4vf3O/nleYhF9jg0AQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCITpnoFe8qQzrMUGgTDdBvmUJZvqfj2vMAkzs0EgCASCQCAIBMLfHulLvHrYO%2Bq/336MMbYeAmblFwuCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCATCA8hUEvwXFXA9AAAAAElFTkSuQmCC">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives5032859458070382646,#minihistogram5032859458070382646"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives5032859458070382646">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles5032859458070382646"
aria-controls="quantiles5032859458070382646" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram5032859458070382646" aria-controls="histogram5032859458070382646"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common5032859458070382646" aria-controls="common5032859458070382646"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme5032859458070382646" aria-controls="extreme5032859458070382646"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles5032859458070382646">
<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>39.875</td>
</tr>
<tr>
<th>Q1</th>
<td>85.879</td>
</tr>
<tr>
<th>Median</th>
<td>104.96</td>
</tr>
<tr>
<th>Q3</th>
<td>117.19</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>188.33</td>
</tr>
<tr>
<th>Maximum</th>
<td>726.87</td>
</tr>
<tr>
<th>Range</th>
<td>726.87</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>31.311</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>39.176</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.3726</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>4.6603</td>
</tr>
<tr>
<th>Mean</th>
<td>105.14</td>
</tr>
<tr>
<th>MAD</th>
<td>26.102</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>0.85364</td>
</tr>
<tr>
<th>Sum</th>
<td>59825000</td>
</tr>
<tr>
<th>Variance</th>
<td>1534.8</td>
</tr>
<tr>
<th>Memory size</th>
<td>4.4 MiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram5032859458070382646">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzt3XtU1XW%2B//EXsOOmQ6IC46VV5%2BgxDREQQkvtJMfU1NLxunIaNW3pjKjTyiwvjeKlKMl0GVqamZecZMzStIszntVlzEuGsdXMEasxSpHNBOONi8Dn90fH/WurCeLHNmyej7VYzv589v583u/9ZWZefL%2BbL37GGCMAAABY4%2B/tAgAAAHwNAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWObwdgH1hct12vqa/v5%2Baty4gX744awqK4319Wsb%2BvVt9Ovb6Ne31eZ%2BIyJ%2B5ZV9OYNVh/n7%2B8nPz0/%2B/n7eLuUXQb%2B%2BjX59G/36tvrWb3UQsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMoe3C0D9ce%2BiT7xdwlV575Eu3i4BAFBHcQYLAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACW1YqANXbsWE2dOtX9%2BNChQxoyZIhiY2M1aNAgHTx40OP5W7duVY8ePRQbG6uUlBT98MMP7jljjJ577jl17txZSUlJmj9/viorK93zhYWFmjhxouLj45WcnKzNmzd7rF3V3gAAAFXxesB655139NFHH7kfnzt3TmPHjlViYqLefPNNxcfHa9y4cTp37pwkaf/%2B/ZoxY4YmTJigzMxMnTp1StOmTXO//tVXX9XWrVuVkZGhxYsXa8uWLXr11Vfd89OmTdPp06eVmZmpP/zhD3ryySe1f//%2Bau0NAABQHV4NWEVFRZo/f75iYmLcY%2B%2B%2B%2B66CgoL0%2BOOPq1WrVpoxY4YaNGig999/X5L02muv6d5779WAAQPUtm1bzZ8/Xx999JFyc3MlSWvWrNGkSZOUmJiozp0767HHHtO6deskSd9%2B%2B60%2B%2BOADzZs3T23atNGQIUN0//33689//nO19gYAAKgOrwasZ599Vv3791fr1q3dY06nUwkJCfLz85Mk%2Bfn5qWPHjsrOznbPJyYmup/frFkzNW/eXE6nUydPntSJEyd0%2B%2B23u%2BcTEhL0/fffKz8/X06nU82aNVPLli095j///PNq7Q0AAFAdDm9tvGvXLn322WfasmWLUlNT3eMul8sjcElSkyZNlJOTI0nKz89XZGTkJfN5eXlyuVyS5DHftGlTSXLPX%2B61J0%2BerNbe1ZWfn%2B%2Bu5QKHI/SSva9VQIC/x7%2Bwy%2BHw7vta344v/fo2%2BvVt9a3f6vBKwCotLdWsWbM0c%2BZMBQcHe8wVFxcrMDDQYywwMFBlZWWSpJKSkp%2BdLykpcT/%2B6ZwklZWVVbl2VfPVlZmZqYyMDI%2BxlJQUTZo06arWqa6wsJDrsm59Fx7ewNslSKp/x5d%2BfRv9%2Brb61u%2BVeCVgZWRkqH379urWrdslc0FBQZcEmrKyMncQ%2B7n5kJAQjzAVFBTk/s%2BSFBISUuO1Lw6BVRk2bJiSk5M9xhyOUBUWnr2qdaoSEOCvsLAQnTpVrIqKyqpfgKti%2B3hdrfp2fOnXt9Gvb6vN/Xrrh2WvBKx33nlHBQUFio%2BPl/T/Q9C2bdvUr18/FRQUeDy/oKDAfXktKirqsvMRERGKioqS9OOlvgufs7pwqe7C/M%2B99kprX%2B2lvcjIyEte43KdVnn59fmmq6iovG5r12e15T2tb8eXfn0b/fq2%2BtbvlXjlYunatWu1ZcsWbdq0SZs2bVJycrKSk5O1adMmxcbG6vPPP5cxRtKP97Xat2%2BfYmNjJUmxsbHKyspyr3XixAmdOHFCsbGxioqKUvPmzT3ms7Ky1Lx5c0VGRiouLk7ff/%2B98vLyPObj4uLca19pbwAAgOrwSsBq0aKFbr75ZvdXgwYN1KBBA918883q3bu3Tp06paeeekpHjx7VU089peLiYt17772SpAceeECbN2/Whg0bdPjwYT3%2B%2BOO6%2B%2B67ddNNN7nnn3vuOe3Zs0d79uzRggULNGLECEnSTTfdpK5du2rKlCk6fPiwNmzYoK1bt%2Bq3v/2tJFW5NwAAQHV47bcIf07Dhg21bNkyzZo1S3/5y1906623avny5QoNDZUkxcfHa86cOVq8eLH%2B/e9/q0uXLpo7d6779WPGjNG//vUvTZgwQQEBARo8eLBGjRrlnp8/f75mzJihoUOHKiIiQk8//bQ6dOhQrb0BAACqw89cuB6G68rlOm19TYfDX%2BHhDVRYeLZOXPO%2Bd9En3i7hqrz3SBev7l/Xju%2B1ol/fRr%2B%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%2BvTpox07dni8dufOnerXr59iY2M1YsQI5ebmesyvWrVK3bp1U3x8vKZPn67i4mL3XGlpqaZPn67ExER17dpVK1eu9HhtVXsDAABcidcCVmVlpcaOHavw8HC99dZbmj17tl588UVt2bJFxhilpKSoadOm2rhxo/r3768JEybo%2BPHjkqTjx48rJSVFAwcO1BtvvKHGjRtr/PjxMsZIkrZt26aMjAzNmTNHq1evltPpVHp6unvv%2BfPn6%2BDBg1q9erVmzZqljIwMvf/%2B%2B5JU5d4AAABVcXhr44KCArVr106pqalq2LChbrnlFt1xxx3KyspS06ZNlZubq/Xr1ys0NFStWrXSrl27tHHjRk2cOFEbNmxQ%2B/btNXr0aElSWlqaunTpok8//VSdOnXSmjVrNHLkSHXv3l2SNHv2bI0ZM0ZTpkyRMUYbNmzQyy%2B/rOjoaEVHRysnJ0fr1q1T7969tXv37ivuDQAAUBWvncGKjIzUokWL1LBhQxljlJWVpb179yopKUlOp1O33XabQkND3c9PSEhQdna2JMnpdCoxMdE9FxISoujoaGVnZ6uiokIHDhzwmI%2BLi9P58%2Bd1%2BPBhHT58WOXl5YqPj/dY2%2Bl0qrKyssq9AQAAqlIrPuSenJys4cOHKz4%2BXr169ZLL5VJkZKTHc5o0aaK8vDxJuuL8qVOnVFpa6jHvcDjUqFEj5eXlyeVyKTw8XIGBge75pk2bqrS0VEVFRVXuDQAAUBWvXSL8qcWLF6ugoECpqalKS0tTcXGxRwCSpMDAQJWVlUnSFedLSkrcjy83b4y57JwklZWVVbl3deTn58vlcnmMORyhlwS3axUQ4O/xL%2BxyOLz7vta340u/vo1%2BfVt967c6akXAiomJkfTjb/c99thjGjRokMdv/Uk/hp/g4GBJUlBQ0CWBp6ysTGFhYQoKCnI/vng%2BJCREFRUVl52TpODgYAUFBamoqOhn966OzMxMZWRkeIylpKRo0qRJ1V7jaoSFhVyXdeu78PAG3i5BUv07vvTr2%2BjXt9W3fq/Eqx9yz87OVo8ePdxjrVu31vnz5xUREaGvv/76kudfOAMUFRWlgoKCS%2BbbtWunRo0aKSgoSAUFBWrVqpUkqby8XEVFRYqIiJAxRoWFhSovL5fD8WP7LpdLwcHBCgsLU1RUlI4ePfqze1fHsGHDlJyc7DHmcISqsPBstdeojoAAf4WFhejUqWJVVFRaXRuyfryuVn07vvTr2%2BjXt9Xmfr31w7LXAtZ3332nCRMm6KOPPlJUVJQk6eDBg2rcuLESEhK0cuVKlZSUuM8cZWVlKSEhQZIUGxurrKws91rFxcU6dOiQJkyYIH9/f8XExCgrK0udOnWSJGVnZ8vhcKht27aSfvxMVnZ2tvuD8FlZWYqJiZG/v79iY2O1fPnyn927OiIjIy8JZC7XaZWXX59vuoqKyuu2dn1WW97T%2BnZ86de30a9vq2/9XonXLpbGxMQoOjpa06dP19GjR/XRRx8pPT1dv//975WUlKRmzZpp2rRpysnJ0fLly7V//34NHjxYkjRo0CDt27dPy5cvV05OjqZNm6aWLVu6A9Xw4cP1yiuvaPv27dq/f79SU1M1dOhQhYSEKCQkRAMGDFBqaqr279%2Bv7du3a%2BXKlRoxYoQkVbk3AABAVbwWsAICArR06VKFhIRo2LBhmjFjhn73u99pxIgR7jmXy6WBAwfq7bff1pIlS9S8eXNJUsuWLfXCCy9o48aNGjx4sIqKirRkyRL5%2BflJkvr27atx48Zp5syZGj16tDp06KApU6a49542bZqio6M1cuRIzZ49WxMnTlTPnj096vq5vQEAAKriZy7c/hzXlct12vqaDoe/wsMbqLDwbJ04JXvvok%2B8XcJVee%2BRLl7dv64d32tFv76Nfn1bbe43IuJXXtmX36cEAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYFmNAtaQIUO0fv16nT5t/8%2B/AAAA1HU1ClidO3fWSy%2B9pK5du%2BrRRx/Vjh07xJ80BAAA%2BFGNAtbkyZP1wQcfaOnSpQoICNDEiRN19913a%2BHChfrmm29s1wgAAFCnOGr6Qj8/P3Xp0kVdunRRcXGx1q5dq6VLl2r58uXq2LGjRo4cqZ49e9qsFQAAoE6occCSpPz8fL399tt6%2B%2B23deTIEXXs2FG/%2Bc1vlJeXpyeffFJ79%2B7VjBkzbNUKAABQJ9QoYG3evFmbN2/Wnj171LhxYw0YMECLFy/WLbfc4n5Os2bN9NRTTxGwAABAvVOjgDVjxgx1795dS5Ys0V133SV//0s/yvWf//mfevDBB6%2B5QAAAgLqmRgHr448/Vnh4uIqKitzhav/%2B/YqOjlZAQIAkqWPHjurYsaO9SgEAAOqIGv0W4ZkzZ9S7d2%2B9/PLL7rGxY8eqf//%2BOnHihLXiAAAA6qIaBaynn35aN998sx566CH32LvvvqtmzZopLS3NWnEAAAB1UY0C1meffaapU6cqIiLCPda4cWM9/vjj2r17t7XiAAAA6qIaBSyHw6FTp05dMl5cXMwd3QEAQL1Xo4B11113ad68efr222/dY7m5uUpLS1O3bt2sFQcAAFAX1ei3CJ944gk99NBD6tWrl8LCwiRJp06dUnR0tKZNm2a1QAAAgLqmRgGrSZMmeuutt7Rz507l5OTI4XCodevWuuOOO%2BTn52e7RgAAgDqlxn8qJyAgQN26deOSIAAAwEVqFLBcLpcWLVqkffv26fz585d8sP1///d/rRQHAABQF9UoYP3pT3/SwYMH1bdvX/3qV7%2ByXRMAAECdVqOAtXv3bq1YsUKJiYm26wEAAKjzanSbhtDQUDVp0sR2LQAAAD6hRgGrf//%2BWrFihSoqKmzXAwAAUOfV6BJhUVGRtm7dqg8//FA33XSTAgMDPebXrFljpTgAAIC6qMa3aejXr5/NOgAAAHxGjQJWWlqa7ToAAAB8Ro0%2BgyVJ%2Bfn5ysjI0OTJk/Wvf/1L77//vr7%2B%2BmubtQEAANRJNQpYx44d03333ae33npL27Zt07lz5/Tuu%2B9q0KBBcjqdtmsEAACoU2oUsJ555hn16NFD27dv1w033CBJev7555WcnKznnnvOaoEAAAB1TY0C1r59%2B/TQQw95/GFnh8Oh8ePH69ChQ9aKAwAAqItqFLAqKytVWVl5yfjZs2cVEBBwzUUBAADUZTUKWF27dtWyZcs8QlZRUZHS09PVuXNna8UBAADURTUKWFOnTtXBgwfVtWtXlZaW6g9/%2BIO6d%2B%2Bu7777Tk888YTtGgEAAOqUGt0HKyoqSps2bdLWrVv15ZdfqrKyUg888ID69%2B%2Bvhg0b2q4RAACgTqnxndxDQkI0ZMgQm7UAAAD4hBoFrBEjRlxxnr9FCAAA6rMaBawWLVp4PC4vL9exY8d05MgRjRw50kphAAAAdZXVv0W4ZMkS5eXlXVNBAAAAdV2N/xbh5fTv31/vvfeezSUBAADqHKsB6/PPP%2BdGowAAoN6z9iH3M2fO6B//%2BIeGDx9%2BzUUBAADUZTUKWM2bN/f4O4SSdMMNN%2BjBBx/U/fffb6UwAACAuqpGAeuZZ56xXQcAAIDPqFHA2rt3b7Wfe/vtt9dkCwAAgDqrRgHrd7/7nfsSoTHGPX7xmJ%2Bfn7788strrREAAKBOqVHAeumllzRv3jxNmTJFSUlJCgwM1IEDBzRnzhz95je/UZ8%2BfWzXCQAAUGfU6DYNaWlpmjlzpnr16qXw8HA1aNBAnTt31pw5c/T666%2BrRYsW7i8AAID6pkYBKz8//7LhqWHDhiosLLzmogAAAOqyGgWsuLg4Pf/88zpz5ox7rKioSOnp6brjjjusFQcAAFAX1egzWE8%2B%2BaRGjBihu%2B66S7fccouMMfrnP/%2BpiIgIrVmzxnaNAAAAdUqNzmC1atVK7777riZPnqy4uDjFx8drxowZ2rx5s379619Xa42TJ09q0qRJSkpKUrdu3ZSWlqbS0lJJUm5urkaNGqW4uDj16dNHO3bs8Hjtzp071a9fP8XGxmrEiBHKzc31mF%2B1apW6deum%2BPh4TZ8%2BXcXFxe650tJSTZ8%2BXYmJieratatWrlzp8dqq9gYAAKhKjf8W4Y033qghQ4bowQcf1LRp09S/f3%2BFhIRU67XGGE2aNEnFxcVat26dFi5cqA8%2B%2BECLFi2SMUYpKSlq2rSpNm7cqP79%2B2vChAk6fvy4JOn48eNKSUnRwIED9cYbb6hx48YaP368%2B9YQ27ZtU0ZGhubMmaPVq1fL6XQqPT3dvff8%2BfN18OBBrV69WrNmzVJGRobef/99d11X2hsAAKA6anSJ0BijBQsWaO3atTp//ry2bdumhQsXKiQkRKmpqbrhhhuu%2BPqvv/5a2dnZ%2BuSTT9S0aVNJ0qRJk/Tss8/qrrvuUm5urtavX6/Q0FC1atVKu3bt0saNGzVx4kRt2LBB7du31%2BjRoyX9%2BBuNXbp00aeffqpOnTppzZo1GjlypLp37y5Jmj17tsaMGaMpU6bIGKMNGzbo5ZdfVnR0tKKjo5WTk6N169apd%2B/e2r179xX3BgAAqI4ancFau3atNm/erFmzZikwMFCS1KNHD23fvl0ZGRlVvj4iIkIrVqxwh6sLzpw5I6fTqdtuu02hoaHu8YSEBGVnZ0uSnE6nEhMT3XMhISGKjo5Wdna2KioqdODAAY/5uLg4nT9/XocPH9bhw4dVXl6u%2BPh4j7WdTqcqKyur3BsAAKA6ahSwMjMzNXPmTA0cONB99/Y%2Bffpo3rx52rJlS5WvDwsLU7du3dyPKysr9dprr6lz585yuVyKjIz0eH6TJk2Ul5cnSVecP3XqlEpLSz3mHQ6HGjVqpLy8PLlcLoWHh7tDoSQ1bdpUpaWlKioqqnJvAACA6qjRJcLvvvtO7dq1u2S8bdu2crlcV71eenq6Dh06pDfeeEOrVq3yCECSFBgYqLKyMklScXHxz86XlJS4H19u3hhz2TlJKisru%2BLaVyM/P/%2BS98HhCL0kvF2rgAB/j39hl8Ph3fe1vh1f%2BvVt9Ovb6lu/1VGjgNWiRQsdOHBALVu29Bj/%2BOOPddNNN13VWunp6Vq9erUWLlyoNm3aKCgoSEVFRR7PKSsrU3BwsCQpKCjoksBTVlamsLAwBQUFuR9fPB8SEqKKiorLzklScHBwlXtXV2Zm5iWXSlNSUjRp0qSrWqe6wsKq98sFuDrh4Q28XYKk%2Bnd86de30a9vq2/9XkmNAtaYMWM0e/ZsuVwuGWO0a9cuZWZmau3atZo6dWq115k7d65ef/11paenq1evXpKkqKgoHT161ON5BQUF7rM/UVFRKigouGS%2BXbt2atSokYKCglRQUKBWrVpJksrLy1VUVKSIiAgZY1RYWKjy8nI5HD%2B27nK5FBwcrLCwsCr3rq5hw4YpOTnZY8zhCFVh4dmrWqcqAQH%2BCgsL0alTxaqoqLS6NmT9eF2t%2BnZ86de30a9vq839euuH5RoFrEGDBqm8vFwvvviiSkpKNHPmTDVu3FiPPPKIHnjggWqtkZGRofXr1%2Bv5559X79693eOxsbFavny5SkpK3GeOsrKylJCQ4J7PyspyP7%2B4uFiHDh3ShAkT5O/vr5iYGGVlZalTp06SpOzsbDkcDrVt2/bHhh0OZWdnuz8In5WVpZiYGPn7%2B1e5d3VFRkZeEspcrtMqL78%2B33QVFZXXbe36rLa8p/Xt%2BNKvb6Nf31bf%2Br2SGgWsrVu3qnfv3ho2bJh%2B%2BOEHGWPUpEmTar/%2Bq6%2B%2B0tKlSzV27FglJCR4fF4pKSlJzZo107Rp0zR%2B/Hh98MEH2r9/v9LS0iT9GO5eeeUVLV%2B%2BXN27d9eSJUvUsmVLd6AaPny4Zs6cqTZt2igyMlKpqakaOnSo%2Bx5dAwYMUGpqqp5%2B%2Bmnl5%2Bdr5cqV7rWr2hsAAKA6/MyFO3RehaSkJP35z39W69ata7Tp8uXLtWDBgsvO/eMf/9CxY8c0Y8YMOZ1O3XzzzZo%2BfbruvPNO93M%2B%2BugjPf3008rLy1N8fLzmzp3r8dmv5cuXa9WqVSorK1PPnj01a9Ys9%2BeziouLlZqaqr/%2B9a9q2LChxowZo1GjRrlfW9XeNeVynb7mNS7mcPgrPLyBCgvP1omfGO5d9Im3S7gq7z3Sxav717Xje63o17fRr2%2Brzf1GRPzKK/vWKGANHTpUo0aNUp8%2Bfa5HTT6JgEXAulp17fheK/r1bfTr22pzv94KWDW6RNi2bVs99thjWrFihW655Rb32aELuKQGAADqsxoFrG%2B%2B%2Bcb9we%2Ba3PcKAADAl1U7YM2fP18TJkxQaGio1q5dez1rAgAAqNOqfcvVV199VcXFxR5jY8eOVX5%2BvvWiAAAA6rJqB6zLfRZ%2B7969Ki0ttVoQAABAXccfDQIAALCMgAUAAGDZVQUsPz%2B/61UHAACAz7iq2zTMmzfP455X58%2BfV3p6uho08PxDitwHCwAA1GfVDli33377Jfe8io%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%2BnTp6u4uNg9V1paqunTpysxMVFdu3bVypUrPV5b1d4AAABV8WrAKi0t1aOPPqqcnBz3mDFGKSkpatq0qTZu3Kj%2B/ftrwoQJOn78uCTp%2BPHjSklJ0cCBA/XGG2%2BocePGGj9%2BvIwxkqRt27YpIyNDc%2BbM0erVq%2BV0OpWenu5ef/78%2BTp48KBWr16tWbNmKSMjQ%2B%2B//3619gYAAKgOrwWso0ePaujQofr22289xnfv3q3c3FzNmTNHrVq10rhx4xQXF6eNGzdKkjZs2KD27dtr9OjR%2Bq//%2Bi%2BlpaXp%2B%2B%2B/16effipJWrNmjUaOHKnu3burQ4cOmj17tjZu3Kji4mKdO3dOGzZs0IwZMxQdHa177rlHDz/8sNatW1etvQEAAKrDawHr008/VadOnZSZmekx7nQ6ddtttyk0NNQ9lpCQoOzsbPd8YmKiey4kJETR0dHKzs5WRUWFDhw44DEfFxen8%2BfP6/Dhwzp8%2BLDKy8sVHx/vsbbT6VRlZWWVewMAAFSHw1sbDx8%2B/LLjLpdLkZGRHmNNmjRRXl5elfOnTp1SaWmpx7zD4VCjRo2Ul5cnf39/hYeHKzAw0D3ftGlTlZaWqqioqMq9qys/P18ul8tjzOEIvWTtaxUQ4O/xL%2BxyOLz7vta340u/vo1%2BfVt967c6vBawfk5xcbFHAJKkwMBAlZWVVTlfUlLifny5eWPMZeekHz9sX9Xe1ZWZmamMjAyPsZSUFE2aNOmq1qmusLCQ67JufRce3sDbJUiqf8eXfn0b/fq2%2BtbvldRzMsD1AAAQKElEQVS6gBUUFKSioiKPsbKyMgUHB7vnLw48ZWVlCgsLU1BQkPvxxfMhISGqqKi47JwkBQcHV7l3dQ0bNkzJyckeYw5HqAoLz17VOlUJCPBXWFiITp0qVkVFpdW1IevH62rVt%2BNLv76Nfn1bbe7XWz8s17qAFRUVpaNHj3qMFRQUuC%2BvRUVFqaCg4JL5du3aqVGjRgoKClJBQYFatWolSSovL1dRUZEiIiJkjFFhYaHKy8vlcPzYusvlUnBwsMLCwqrcu7oiIyMveY3LdVrl5dfnm66iovK6rV2f1Zb3tL4dX/r1bfTr2%2Bpbv1dS6y6WxsbG6osvvnBf7pOkrKwsxcbGuuezsrLcc8XFxTp06JBiY2Pl7%2B%2BvmJgYj/ns7Gw5HA61bdtW7dq1k8Ph8PjQelZWlmJiYuTv71/l3gAAANVR6wJWUlKSmjVrpmnTpiknJ0fLly/X/v37NXjwYEnSoEGDtG/fPi1fvlw5OTmaNm2aWrZsqU6dOkn68cPzr7zyirZv3679%2B/crNTVVQ4cOVUhIiEJCQjRgwAClpqZq//792r59u1auXKkRI0ZUa28AAIDqqHUBKyAgQEuXLpXL5dLAgQP19ttva8mSJWrevLkkqWXLlnrhhRe0ceNGDR48WEVFRVqyZIn8/PwkSX379tW4ceM0c%2BZMjR49Wh06dNCUKVPc60%2BbNk3R0dEaOXKkZs%2BerYkTJ6pnz57V2hsAAKA6/MyFW6DjunK5Tltf0%2BHwV3h4AxUWnq0T17zvXfSJt0u4Ku890sWr%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%2BnQlJiaqa9euWrlypbdLAgAAdYjD2wXURvPnz9fBgwe1evVqHT9%2BXE888YSaN2%2Bu3r17e7s0AABQBxCwLnLu3Dlt2LBBL7/8sqKjoxUdHa2cnBytW7eOgIVa7d5Fn3i7hGp775Eu3i4BAK4rLhFe5PDhwyovL1d8fLx7LCEhQU6nU5WVlV6sDAAA1BWcwbqIy%2BVSeHi4AgMD3WNNmzZVaWmpioqK1Lhx4yrXyM/Pl8vl8hhzOEIVGRlptdaAAPIx6iaH49Lv3Qvfz/Xl%2B5p%2BfRv9goB1keLiYo9wJcn9uKysrFprZGZmKiMjw2NswoQJmjhxop0i/09%2Bfr5G/jpHw4YNsx7eaqP8/HxlZmbSr4/Kz8/X6tUr6NdH0a9vq2/9VgdR8yJBQUGXBKkLj4ODg6u1xrBhw/Tmm296fA0bNsx6rS6XSxkZGZecLfNV9Ovb6Ne30a9vq2/9VgdnsC4SFRWlwsJClZeXy%2BH48e1xuVwKDg5WWFhYtdaIjIwkwQMAUI9xBusi7dq1k8PhUHZ2tnssKytLMTEx8vfn7QIAAFUjMVwkJCREAwYMUGpqqvbv36/t27dr5cqVGjFihLdLAwAAdURAampqqreLqG06d%2B6sQ4cOacGCBdq1a5d%2B//vfa9CgQd4u67IaNGigpKQkNWjQwNul/CLo17fRr2%2BjX99W3/qtip8xxni7CAAAAF/CJUIAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQSsOqq0tFTTp09XYmKiunbtqpUrV3q7JCvKysrUr18/7dmzxz2Wm5urUaNGKS4uTn369NGOHTs8XrNz507169dPsbGxGjFihHJzc3/psq/ayZMnNWnSJCUlJalbt25KS0tTaWmpJN/s99ixYxozZozi4%2BN19913a8WKFe45X%2Bz3p8aOHaupU6e6Hx86dEhDhgxRbGysBg0apIMHD3o8f%2BvWrerRo4diY2OVkpKiH3744Zcu%2Bar97W9/06233urxNWnSJEm%2B2W9ZWZlmz56t22%2B/XXfeeaeef/55Xbhnt6/1%2B%2Babb15ybG%2B99Va1bdtWku/1a5VBnTRnzhxz3333mYMHD5q//vWvJj4%2B3rz33nveLuualJSUmJSUFNOmTRuze/duY4wxlZWV5r777jOTJ082R48eNS%2B99JKJjY0133//vTHGmO%2B//97ExcWZV155xRw5csT88Y9/NP369TOVlZXebOWKKisrzdChQ83DDz9sjhw5Yvbu3Wvuuece88wzz/hkvxUVFaZnz55m8uTJ5ptvvjEffvih6dixo3n77bd9st%2Bf2rp1q2nTpo154oknjDHGnD171nTp0sU888wz5ujRo2bu3LnmzjvvNGfPnjXGGON0Ok2HDh3MW2%2B9Zb788kvz4IMPmrFjx3qzhWpZunSpGTdunMnPz3d//fvf//bZfv/0pz%2BZnj17GqfTaXbu3Gk6depkXn/9dZ/st7i42OO4Hj9%2B3Nxzzz3mqaee8sl%2BbSJg1UFnz541MTEx7hBijDFLliwxDz74oBerujY5OTnm/vvvN/fdd59HwNq5c6eJi4tz/xfWGGNGjhxpFi9ebIwxZtGiRR59nzt3zsTHx3u8N7XN0aNHTZs2bYzL5XKPbdmyxXTt2tUn%2Bz158qT54x//aE6fPu0eS0lJMbNmzfLJfi8oLCw0d911lxk0aJA7YG3YsMEkJye7A2JlZaW55557zMaNG40xxkyZMsX9XGOMOX78uLn11lvNt99%2B%2B8s3cBUmT55sFixYcMm4L/ZbWFhobrvtNrNnzx732LJly8zUqVN9st%2BLvfTSS6ZHjx6mtLS0XvR7LbhEWAcdPnxY5eXlio%2BPd48lJCTI6XSqsrLSi5XV3KeffqpOnTopMzPTY9zpdOq2225TaGioeywhIUHZ2dnu%2BcTERPdcSEiIoqOj3fO1UUREhFasWKGmTZt6jJ85c8Yn%2B42MjNSiRYvUsGFDGWOUlZWlvXv3KikpySf7veDZZ59V//791bp1a/eY0%2BlUQkKC/Pz8JEl%2Bfn7q2LHjz/bbrFkzNW/eXE6n85ct/ip99dVXuuWWWy4Z98V%2Bs7Ky1LBhQyUlJbnHxo4dq7S0NJ/s96eKior08ssva/LkyQoMDPT5fq8VAasOcrlcCg8PV2BgoHusadOmKi0tVVFRkRcrq7nhw4dr%2BvTpCgkJ8Rh3uVyKjIz0GGvSpIny8vKqNV8bhYWFqVu3bu7HlZWVeu2119S5c2ef7PenkpOTNXz4cMXHx6tXr14%2B2%2B%2BuXbv02Wefafz48R7jVfWTn59f5/o1xuibb77Rjh071KtXL/Xo0UPPPfecysrKfLLf3NxctWjRQps2bVLv3r31P//zP1qyZIkqKyt9st%2Bfev311xUZGanevXtL8s3vZ5sc3i4AV6%2B4uNgjXElyPy4rK/NGSdfNz/V6oc%2Bq5uuC9PR0HTp0SG%2B88YZWrVrl0/0uXrxYBQUFSk1NVVpamk8e39LSUs2aNUszZ85UcHCwx1xV/ZSUlNS5fo8fP%2B7ua9GiRfruu%2B80b948lZSU%2BGS/586d07Fjx7R%2B/XqlpaXJ5XJp5syZCgkJ8cl%2BLzDGaMOGDXr44YfdY77crw0ErDooKCjokm/QC48v/h/0ui4oKOiSs3JlZWXuPn/uvQgLC/vFarwW6enpWr16tRYuXKg2bdr4fL8xMTGSfgwhjz32mAYNGqTi4mKP59T1fjMyMtS%2BfXuPs5QX/Fw/VfV78Znd2qRFixbas2ePbrzxRvn5%2Baldu3aqrKzUlClTlJSU5HP9OhwOnTlzRgsWLFCLFi0k/RgyX3/9dd18880%2B1%2B8FBw4c0MmTJ9W3b1/3mC9%2BP9vEJcI6KCoqSoWFhSovL3ePuVwuBQcH1%2Br/46mJqKgoFRQUeIwVFBS4Tzv/3HxERMQvVmNNzZ07V6%2B%2B%2BqrS09PVq1cvSb7Zb0FBgbZv3%2B4x1rp1a50/f14RERE%2B1%2B8777yj7du3Kz4%2BXvHx8dqyZYu2bNmi%2BPh4nzy%2BktSoUSP353AkqVWrViotLfXJ4xsREaGgoCB3uJKk//iP/9CJEyd89vhK0t///nclJibqxhtvdI/5cr82ELDqoHbt2snhcHh80DcrK0sxMTHy9/etQxobG6svvvhCJSUl7rGsrCzFxsa657OystxzxcXFOnTokHu%2BtsrIyND69ev1/PPPe/xE6Iv9fvfdd5owYYJOnjzpHjt48KAaN26shIQEn%2Bt37dq12rJlizZt2qRNmzYpOTlZycnJ2rRpk2JjY/X555%2B775lkjNG%2Bfft%2Btt8TJ07oxIkTtbrfv//97%2BrUqZPHmcgvv/xSjRo1UkJCgs/1Gxsbq9LSUn3zzTfusa%2B//lotWrTwyeN7wf79%2B9WxY0ePMV/u1wov/fYirtGf/vQn07dvX%2BN0Os3f/vY307FjR7Nt2zZvl2XFT2/TUF5ebvr06WMeeeQRc%2BTIEbNs2TITFxfnvk9Sbm6uiYmJMcuWLXPfJ%2Bm%2B%2B%2B6r1fdJOnr0qGnXrp1ZuHChx/1l8vPzfbLf8vJyM3DgQDN69GiTk5NjPvzwQ3PnnXeaVatW%2BWS/F3viiSfcv6p%2B%2BvRp07lzZzN37lyTk5Nj5s6da7p06eK%2BTcW%2BfftMdHS0%2Bctf/uK%2Bb9C4ceO8WX6VTp8%2Bbbp162YeffRR89VXX5kPP/zQdO3a1Sxfvtwn%2BzXGmLFjx5phw4aZL7/80nz88cemc%2BfOZvXq1T7brzHGdO/e3WzdutVjzJf7tYGAVUedO3fOPP744yYuLs507drVvPrqq94uyZqfBixjjPnnP/9pfvvb35r27dubvn37mk8%2B%2BcTj%2BR9%2B%2BKHp2bOn6dChgxk5cmStv8fKsmXLTJs2bS77ZYzv9WuMMXl5eSYlJcV07NjRdOnSxbz44ovukOSL/f7UTwOWMT/efHHAgAEmJibGDB482HzxxRcez9%2B4caP57//%2BbxMXF2dSUlLMDz/88EuXfNWOHDliRo0aZeLi4kyXLl3MCy%2B84D6%2BvtjvqVOnzJQpU0xcXJy54447fL5fY4yJiYkxH3/88SXjvtqvDX7G/N%2B5PQAAAFjhWx/YAQAAqAUIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACw7P8BVQUl/IzmW08AAAAASUVORK5CYII%3D"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common5032859458070382646">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">39.375</td>
<td class="number">10865</td>
<td class="number">1.9%</td>
<td>
<div class="bar" style="width:3%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.0</td>
<td class="number">9915</td>
<td class="number">1.7%</td>
<td>
<div class="bar" style="width:2%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">55.5625</td>
<td class="number">8134</td>
<td class="number">1.4%</td>
<td>
<div class="bar" style="width:2%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">56.5625</td>
<td class="number">6164</td>
<td class="number">1.1%</td>
<td>
<div class="bar" style="width:2%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">51.0</td>
<td class="number">2099</td>
<td class="number">0.4%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">40.25</td>
<td class="number">1947</td>
<td class="number">0.3%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">39.3752</td>
<td class="number">1615</td>
<td class="number">0.3%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">101.188</td>
<td class="number">1267</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">83.25</td>
<td class="number">1226</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">42.75</td>
<td class="number">1013</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (192497)</td>
<td class="number">524748</td>
<td class="number">92.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">1307</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme5032859458070382646">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">0.0</td>
<td class="number">9915</td>
<td class="number">1.7%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.000244141</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.0406799</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.0625</td>
<td class="number">798</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:8%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.16272</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">609.444</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">609.934</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">628.45</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">648.706</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">726.869</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4">XI84202.PV<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>216575</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>38.1%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.2%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1307</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>78.834</td>
</tr>
<tr>
<th>Minimum</th>
<td>0</td>
</tr>
<tr>
<th>Maximum</th>
<td>100</td>
</tr>
<tr class="alert">
<th>Zeros (%)</th>
<td>1.7%</td>
</tr>
</table>
</div>
</div>
</div>
<div class="col-md-3 collapse in" id="minihistogram-7503158662840697896">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAASFJREFUeJzt3cEJwkAQQFEjlmQR9uTZnizCntYG5INCzBrfuwf2kM8kDCTLGGMcgJeOWx8AZnba%2BgD8hvP1/vY1j9tlhZN8lwkCQSAQBAJBIBAEAkEgEAQCQSAQBALBJv0PfbIV/1cmCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBF81YTV7%2BKeICQJBIBAEAkEgEAQCQSAQBAJBIBAsCiezh%2BXanpggEEyQHfBDnPUIZEVu3N83XSCewZmJdxAIyxhjbH0ImJUJAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAuEJkeoY0MiuzBAAAAAASUVORK5CYII%3D">
</div>
<div class="col-md-12 text-right">
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<div class="row collapse col-md-12" id="descriptives-7503158662840697896">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles-7503158662840697896"
aria-controls="quantiles-7503158662840697896" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram-7503158662840697896" aria-controls="histogram-7503158662840697896"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common-7503158662840697896" aria-controls="common-7503158662840697896"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme-7503158662840697896" aria-controls="extreme-7503158662840697896"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles-7503158662840697896">
<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>50.272</td>
</tr>
<tr>
<th>Q1</th>
<td>76.718</td>
</tr>
<tr>
<th>Median</th>
<td>80.718</td>
</tr>
<tr>
<th>Q3</th>
<td>86.68</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>99.22</td>
</tr>
<tr>
<th>Maximum</th>
<td>100</td>
</tr>
<tr>
<th>Range</th>
<td>100</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>9.962</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>15.585</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.19769</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>10.143</td>
</tr>
<tr>
<th>Mean</th>
<td>78.834</td>
</tr>
<tr>
<th>MAD</th>
<td>9.3486</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>-2.6189</td>
</tr>
<tr>
<th>Sum</th>
<td>44856000</td>
</tr>
<tr>
<th>Variance</th>
<td>242.9</td>
</tr>
<tr>
<th>Memory size</th>
<td>4.4 MiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram-7503158662840697896">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzt3XtUVXX%2B//EXcAKOOIwol/G2bLKveckOCF6a1JV8rdScJNH8dhnUanQKY3VTQxzv5gxq%2BTVsyspbWTFeRtMp%2Bw7fb1lmWWFAZhZqJaXIoYFBBSFk//7o516dtAGPn9Px4POx1ll2Pp9zPvvNu70Or7X3Zp8gy7IsAQAAwJhgfxcAAADQ3BCwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhDn8XcLFwu48ZXzM4OEitW0fon/88oYYGy/j6FzN66zv01rfor%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%2BffpowIABWrBggWprayVJJSUlGjdunOLj4zVs2DDt2LHD4707d%2B7U8OHD5XK5lJaWppKSEo/5VatWacCAAUpISNC0adNUU1Njz9XW1mratGlKSkpS//79tWLFCo/3NrZtAACAxvglYFmWpYyMDNXU1Gjt2rV6/PHH9cYbb2jJkiWyLEvp6emKjo7Whg0bNGLECE2aNEmHDx%2BWJB0%2BfFjp6ekaOXKk1q9fr9atW%2Bvee%2B%2BVZVmSpNdff105OTmaM2eOVq9ercLCQi1cuNDednZ2tvbs2aPVq1dr5syZysnJ0bZt2%2By6/t22AQAAmsLhj40ePHhQBQUFeueddxQdHS1JysjI0J///GcNHDhQJSUlevnll9WiRQt17txZ7777rjZs2KD77rtP69at05VXXqk777xTkrRgwQJdc801ev/999W3b1%2BtWbNGY8eO1aBBgyRJs2fP1l133aXJkyfLsiytW7dOzzzzjHr06KEePXqouLhYa9eu1ZAhQ/Tee%2B/9220DAAA0hV%2BOYMXExOjZZ5%2B1w9Vpx48fV2Fhobp3764WLVrY44mJiSooKJAkFRYWKikpyZ5zOp3q0aOHCgoKdOrUKX388cce8/Hx8fruu%2B%2B0b98%2B7du3T/X19UpISPBYu7CwUA0NDY1uGwAAoCn8cgQrMjJSAwYMsJ83NDTohRdeUL9%2B/eR2uxUbG%2Bvx%2BjZt2qi0tFSS/u18VVWVamtrPeYdDodatWql0tJSBQcHKyoqSqGhofZ8dHS0amtrVVlZ2ei2AQAAmsIvAevHFi5cqL1792r9%2BvVatWqVRwCSpNDQUNXV1UmSampqfnL%2B5MmT9vOzzVuWddY5Saqrq/u3a5%2BLsrIyud1ujzGHo8UZ4e18hYQEe/wLc%2Bit79Bb36K/vhOIPXU4AqPm5rjf%2Bj1gLVy4UKtXr9bjjz%2BuLl26KCwsTJWVlR6vqaurU3h4uCQpLCzsjMBTV1enyMhIhYWF2c9/PO90OnXq1KmzzklSeHh4o9tuqtzcXOXk5HiMpaenKyMj45zWaarISKdP1gW99SV661v0F5IUFRXh7xLOSXPab/0asObOnauXXnpJCxcu1A033CBJiouL0/79%2Bz1eV15ebh/9iYuLU3l5%2BRnz3bp1U6tWrRQWFqby8nJ17txZklRfX6/KykrFxMTIsixVVFSovr5eDsf3P7rb7VZ4eLgiIyMb3XZTjRkzRsnJyR5jDkcLVVScOKd1GhMSEqzISKeqqmp06lSD0bUvdvTWd%2Bitb9Ff3wnEoyumf%2B/4ii/3W3%2BFTL8FrJycHL388st67LHHNGTIEHvc5XJp%2BfLlOnnypH3kKD8/X4mJifZ8fn6%2B/fqamhrt3btXkyZNUnBwsHr27Kn8/Hz17dtXklRQUCCHw6GuXbtK%2Bv6arIKCAvtC%2BPz8fPXs2VPBwcGNbrupYmNjzwhlbvcx1df75sPu1KkGn619saO3vkNvfYv%2BQlLA7QPNab/1Sxw/cOCAnnzySf3%2B979XYmKi3G63/ejTp4/atm2rzMxMFRcXa/ny5SoqKtKoUaMkSampqdq9e7eWL1%2Bu4uJiZWZmqkOHDnaguu222/Tcc88pLy9PRUVFmjVrlm655RY5nU45nU6lpKRo1qxZKioqUl5enlasWKG0tDRJanTbAAAATRFknb5D589o%2BfLlWrx48VnnPvvsM3311VfKyspSYWGhOnXqpGnTpuk3v/mN/Zrt27fr0UcfVWlpqRISEjR37lx17NjRY/1Vq1aprq5O119/vWbOnGlfn1VTU6NZs2bpf/7nf9SyZUvdddddGjdunP3exrbtLbf72Hmv8WMOR7CioiJUUXGi2ST%2BCwW99R1661v013ccjmBdt%2Bhtf5dxTl67/xp/l9AkvtxvY2J%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%2B88II9v3XrVg0ePFgul0vp6en65z//ac9ZlqVFixapX79%2B6tOnj7Kzs9XQ0GDPV1RU6L777lNCQoKSk5O1efNmj3r27t2r0aNHy%2BVyKTU1VXv27PHhTw8AAJobvwes2tpaPfjggyouLvYYP3DggB566CHt2LHDfqSmpkqSioqKlJWVpUmTJik3N1dVVVXKzMy037ty5Upt3bpVOTk5Wrp0qbZs2aKVK1fa85mZmTp27Jhyc3N1zz33aPr06SoqKpIkVVdXa8KECUpKStLGjRuVkJCgiRMnqrq6%2BmfoBgAAaA78GrD279%2BvW265RYcOHTpj7sCBA%2BrevbtiYmLsh9PplCS98MILGjp0qFJSUtS1a1dlZ2dr%2B/btKikpkSStWbNGGRkZSkpKUr9%2B/fTwww9r7dq1kqRDhw7pjTfe0Lx589SlSxeNHj1aN910k1588UVJ0quvvqqwsDBNmTJFnTt3VlZWliIiIrRt27afqSsAACDQ%2BTVgvf/%2B%2B%2Brbt69yc3M9xo8fP66jR4/q0ksvPev7CgsLlZSUZD9v27at2rVrp8LCQh09elRHjhxR79697fnExER98803KisrU2Fhodq2basOHTp4zH/00Uf22omJiQoKCpIkBQUFqVevXiooKDD1YwMAgGbO4c%2BN33bbbWcdP3DggIKCgvTUU0/prbfeUqtWrTR%2B/HjdfPPNkqSysjLFxsZ6vKdNmzYqLS2V2%2B2WJI/56OhoSbLnz/beo0ePSpLcbrcuv/zyM%2BZ/fArz3ykrK7PrOM3haHHGds9XSEiwx78wh976Dr31LfqLH3I4AmM/aI77rV8D1k85ePCggoKCdNlll%2BmOO%2B7QBx98oD/%2B8Y9q2bKlrrvuOp08eVKhoaEe7wkNDVVdXZ1OnjxpP//hnPT9xfQ1NTU/%2BV5Jjc43RW5urnJycjzG0tPTlZGR0eQ1zkVkpNMn64Le%2BhK99S36C0mKiorwdwnnpDnttxdkwEpJSdGgQYPUqlUrSVLXrl315Zdf6qWXXtJ1112nsLCwMwJPXV2dnE6nR5gKCwuz/1uSnE7nT743PDxckhqdb4oxY8YoOTnZY8zhaKGKihNNXqMpQkKCFRnpVFVVjU6damj8DWgyeus79Na36C9%2ByPTvHV/x5X7rr5B5QQasoKAgO1yddtlll%2Bm9996TJMXFxam8vNxjvry8XDExMYqLi5P0/am%2B09dZnT5dd3r%2Bp97779Y%2Bl9N7sbGxZ7ze7T6m%2BnrffNidOtXgs7UvdvTWd%2Bitb9FfSAq4faA57bdenewcPXq0Xn75ZR07dsx0PZKk//7v/9a4ceM8xvbt26fLLrtMkuRyuZSfn2/PHTlyREeOHJHL5VJcXJzatWvnMZ%2Bfn6927dopNjZW8fHx%2Buabb1RaWuoxHx8fb6/90UcfybIsSd/fU2v37t1yuVw%2B%2BVkBAEDz41XA6tevn5566in1799fDz74oHbs2GEHEhMGDRqkDz74QM8995wOHTqkF198UZs2bdKdd94pSbr11lu1efNmrVu3Tvv27dOUKVN07bXXqmPHjvb8okWLtGvXLu3atUuLFy9WWlqaJKljx47q37%2B/Jk%2BerH379mndunXaunWrbr/9dknSkCFDVFVVpfnz52v//v2aP3%2B%2BampqNHToUGM/HwAAaN6CLC%2BTkWVZ2rlzpzZt2qS8vDxFRkYqJSVFKSkp%2BvWvf33O611xxRVas2aN%2BvbtK0nKy8vT0qVL9eWXX6p9%2B/Z64IEHdP3119uv37hxo5YuXap//etfuuaaazR37lxFRUVJkk6dOqXs7Gxt3LhRISEhGjVqlB566CH71gvffvutsrKytHPnTsXExOiBBx7Q8OHD7bWLioo0c%2BZMHThwQFdccYVmz56t7t27e9Mmm9tt/mifwxGsqKgIVVScaDaHVC8U9NZ36K1vBVp/hy55x98lNGuv3X%2BNv0toEl/utzExvzC6XlN5HbB%2BqKamRs8//7yefPJJ1dbWqlevXho7dqxHILrYEbACC731HXrrW4HWXwKWbxGw/Bewzusi97KyMr3yyit65ZVX9Pnnn6tXr166%2BeabVVpaqunTp%2BuDDz5QVlaWqVoBAAACglcBa/Pmzdq8ebN27dql1q1bKyUlRUuXLvW483rbtm01f/58AhYAALjoeBWwsrKyNGjQIC1btkwDBw5UcPCZ18qfvkkoAADAxcargPXWW28pKipKlZWVdrgqKipSjx49FBISIknq1auXevXqZa5SAACAAOHVbRqOHz%2BuIUOG6JlnnrHHJkyYoBEjRujIkSPGigMAAAhEXgWsRx99VJ06ddL48ePtsVdffVVt27bVggULjBUHAAAQiLwKWB9%2B%2BKEeeeQR%2B%2BtlJKl169aaMmWK/XU2AAAAFyuvApbD4VBVVdUZ4zU1NUbv6A4AABCIvApYAwcO1Lx583To0CF7rKSkRAsWLNCAAQOMFQcAABCIvPorwqlTp2r8%2BPG64YYbFBkZKUmqqqpSjx49lJmZabRAAACAQONVwGrTpo3%2B9re/aefOnSouLpbD4dDll1%2Buq6%2B%2B2v6%2BPwAAgIuV11%2BVExISogEDBnBKEAAA4Ee8Clhut1tLlizR7t279d13351xYfv//u//GikOAAAgEHkVsP74xz9qz549uvHGG/WLX/jnW6oBAAAuVF4FrPfee0/PPvuskpKSTNcDAAAQ8Ly6TUOLFi3Upk0b07UAAAA0C14FrBEjRujZZ5/VqVOnTNcDAAAQ8Lw6RVhZWamtW7fqzTffVMeOHRUaGuoxv2bNGiPFAQAABCKvb9MwfPhwk3UAAAA0G14FrAULFpiuAwAAoNnw6hosSSorK1NOTo4eeughffvtt9q2bZsOHjxosjYAAICA5FXA%2Buqrr/Tb3/5Wf/vb3/T666%2Brurpar776qlJTU1VYWGi6RgAAgIDiVcD605/%2BpMGDBysvL0%2BXXHKJJOmxxx5TcnKyFi1aZLRAAACAQONVwNq9e7fGjx/v8cXODodD9957r/bu3WusOAAAgEDkVcBqaGhQQ0PDGeMnTpxQSEjIeRcFAAAQyLwKWP3799fTTz/tEbIqKyu1cOFC9evXz1hxAAAAgcirgPXII49oz5496t%2B/v2pra3XPPfdo0KBB%2BvrrrzV16lTTNQIAAAQUr%2B6DFRcXp02bNmnr1q369NNP1dDQoFtvvVUjRoxQy5YtTdcIAAAQULy%2Bk7vT6dTo0aNN1gIAANAseBWw0tLS/u0830UIAAAuZl4FrPbt23s8r6%2Bv11dffaXPP/9cY8eONVIYAABAoDL6XYTLli1TaWnpeRUEAAAQ6Lz%2BLsKzGTFihF577TWTSwIAAAQcowHro48%2B4kajAADgomfsIvfjx4/rs88%2B02233XbeRQEAAAQyrwJWu3btPL6HUJIuueQS3XHHHbrpppuMFAYAABCovApYf/rTn0zXAQAA0Gx4FbA%2B%2BOCDJr%2B2d%2B/e3mwCAAAgYHkVsH73u9/Zpwgty7LHfzwWFBSkTz/99HxrBAAACCheBaynnnpK8%2BbN0%2BTJk9WnTx%2BFhobq448/1pw5c3TzzTdr2LBhpusEAAAIGF7dpmHBggWaMWOGbrjhBkVFRSkiIkL9%2BvXTnDlz9NJLL6l9%2B/b2AwAA4GLjVcAqKys7a3hq2bKlKioqzrsoAACAQOZVwIqPj9djjz2m48eP22OVlZVauHChrr76amPFAQAABCKvrsGaPn260tLSNHDgQF166aWyLEtffvmlYmJitGbNGtM1AgAABBSvAlbnzp316quvauvWrTpw4IAk6fbbb9eNN94op9NptEAAAIBA41XAkqRf/vKXGj16tL7%2B%2Bmt17NhR0vd3cwcAALjYeXUNlmVZWrRokXr37q3hw4ertLRUU6dOVVZWlr777jvTNQIAAAQUrwLW888/r82bN2vmzJkKDQ2VJA0ePFh5eXnKyckxWiAAAECg8Spg5ebmasaMGRo5cqR99/Zhw4Zp3rx52rJli9ECAQAAAo1XAevrr79Wt27dzhjv2rWr3G73eRcFAAAQyLwKWO3bt9fHH398xvhbb71lX/AOAABwsfLqrwjvuusuzZ49W263W5Zl6d1331Vubq6ef/55PfLII6ZrBAAACCheBazU1FTV19frL3/5i06ePKkZM2aodevWuv/%2B%2B3XrrbearhEAACCgeHWKcOvWrRoyZIjefPNN7dy5U%2B%2B884527typ8ePHn/NadXV1Gj58uHbt2mWPlZSUaNy4cYqPj9ewYcO0Y8cOj/fs3LlTw4cPl8vlUlpamkpKSjzmV61apQEDBighIUHTpk1TTU2NPVdbW6tp06YpKSlJ/fv314oVKzze29i2AQAAGuNVwJozZ459MXvr1q3Vpk0brzZeW1urBx98UMXFxfaYZVlKT09XdHS0NmzYoBEjRmjSpEk6fPiwJOnw4cNKT0/XyJEjtX79erVu3Vr33nuvLMuSJL3%2B%2BuvKycnRnDlztHr1ahUWFmrhwoX2%2BtnZ2dqzZ49Wr16tmTNnKicnR9u2bWvStgEAAJrCq4B16aWX6vPPPz%2BvDe/fv1%2B33HKLDh065DH%2B3nvvqaSkRHPmzFHnzp01ceJExcfHa8OGDZKkdevW6corr9Sdd96p//iP/9CCBQv0zTff6P3335ckrVmzRmPHjtWgQYN01VVXafbs2dqwYYNqampUXV2tdevWKSsrSz169NB1112nu%2B%2B%2BW2vXrm3StgEAAJrCq2uwunbtqocffljPPvusLr30UoWFhXnML1iwoNE13n//ffXt21cPPPCA4uPj7fHCwkJ1795dLVq0sMcSExNVUFBgzyclJdlzTqdTPXr0UEFBgZKSkvTxxx9r0qRJ9nx8fLy%2B%2B%2B477du3T5Zlqb6%2BXgkJCR5rP/XUU2poaGh02wAAAE3hVcD64osvlJiYKEle3/fqtttuO%2Bu42%2B1WbGysx1ibNm1UWlra6HxVVZVqa2s95h0Oh1q1aqXS0lIFBwcrKirKvvu8JEVHR6u2tlaVlZWNbrupysrKzuiLw9HijLXPV0hIsMe/MIfe%2Bg699S36ix9yOAJjP2iO%2B22TA1Z2drYmTZqkFi1a6Pnnn/dZQTU1NR4BSJJCQ0NVV1fX6PzJkyft52ebtyzrrHPS9xfbN7btpsrNzT3jK4PS09OVkZFxTus0VWSk0yfrgt76Er31LfoLSYqKivB3CeekOe23TQ5YK1eu1F133eVx%2BmzChAmaN2%2Be0SMzYWFhqqys9Birq6tTeHi4Pf/jwFNXV6fIyEj7VOXZ5p1Op06dOnXWOUkKDw9vdNtNNWbMGCUnJ3uMORwtVFFx4pzWaUxISLAiI52qqqrRqVMNRte%2B2NFb36G3vkV/8UOmf%2B/4ii/3W3%2BFzCYHrNN/pfdDH3zwgWpra40WFBcXp/3793uMlZeX2yEuLi5O5eXlZ8x369ZNrVq1UlhYmMrLy9W5c2dJUn19vSorKxUTEyPLslRRUaH6%2Bno5HN//6G63W%2BHh4YqMjGx0200VGxt7xnvc7mOqr/fNh92pUw0%2BW/tiR299h976Fv2FpIDbB5rTfnvBnex0uVz65JNP7NN9kpSfny%2BXy2XP5%2Bfn23M1NTXau3evXC6XgoOD1bNnT4/5goICORwOde3aVd26dZPD4fC4aD0/P189e/ZUcHBwo9sGAABoigsuYPXp00dt27ZVZmamiouLtXz5chUVFWnUqFGSvr%2BL/O7du7V8%2BXIVFxcrMzNTHTp0UN%2B%2BfSV9f/H8c889p7y8PBUVFWnWrFm65ZZb5HQ65XQ6lZKSolmzZqmoqEh5eXlasWKF0tLSmrRtAACApjingBUUFOSrOmwhISF68skn5Xa7NXLkSL3yyitatmyZ2rVrJ0nq0KGDnnjiCW3YsEGjRo1SZWWlli1bZtd24403auLEiZoxY4buvPNOXXXVVZo8ebK9fmZmpnr06KGxY8dq9uzZuu%2B%2B%2B3T99dc3adsAAABNEWSd7eKqs%2BjatauGDRvmcc%2BrLVu2KDk5WRERnheQNeU%2BWBcbt/uY8TUdjmBFRUWoouJEszlnfaGgt75Db30r0Po7dMk7/i6hWXvt/mv8XUKT%2BHK/jYn5hdH1mqrJF7n37t37jHs7JSQkqKKiQhUVFcYLAwAACFRNDli%2BvPcVAABAc3LBXeQOAAAQ6AhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgmMPfBQAAAN8YuuQdf5fQZB/OH%2BLvEoziCBYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMu2AD1j/%2B8Q9dccUVHo%2BMjAxJ0t69ezV69Gi5XC6lpqZqz549Hu/dunWrBg8eLJfLpfT0dP3zn/%2B05yzL0qJFi9SvXz/16dNH2dnZamhosOcrKip03333KSEhQcnJydq8efPP8wMDAIBm44INWPv379egQYO0Y8cO%2BzFv3jxVV1drwoQJSkpK0saNG5WQkKCJEyequrpaklRUVKSsrCxNmjRJubm5qqqqUmZmpr3uypUrtXXrVuXk5Gjp0qXasmWLVq5cac9nZmbq2LFjys3N1T333KPp06erqKjoZ//5AQBA4LpgA9aBAwfUpUsXxcTE2I/IyEi9%2BuqrCgsL05QpU9S5c2dlZWUpIiJC27ZtkyS98MILGjp0qFJSUtS1a1dlZ2dr%2B/btKikpkSStWbNGGRkZSkpKUr9%2B/fTwww9r7dq1kqRDhw7pjTfe0Lx589SlSxeNHj1aN910k1588UW/9QEAAASeCzpgXXrppWeMFxYWKjExUUFBQZKkoKAg9erVSwUFBfZ8UlKS/fq2bduqXbt2Kiws1NGjR3XkyBH17t3bnk9MTNQ333yjsrIyFRYWqm3bturQoYPH/EcffeSjnxIAADRHF2TAsixLX3zxhXbs2KEbbrhBgwcP1qJFi1RXVye3263Y2FiP17dp00alpaWSpLKysp%2Bcd7vdkuQxHx0dLUn2/Nnee/ToUeM/IwAAaL4c/i7gbA4fPqyamhqFhoZqyZIl%2BvrrrzVv3jydPHnSHv%2Bh0NBQ1dXVSZJOnjz5k/MnT560n/9wTpLq6uoaXbupysrK7DB3msPR4ozwdr5CQoI9/oU59NZ36K1v0V8Esua0316QAat9%2B/batWuXfvnLXyooKEjdunVTQ0ODJk%2BerD59%2BpwReOrq6hQeHi5JCgsLO%2BuWzkO4AAAOZ0lEQVS80%2Bn0CFNhYWH2f0uS0%2Bn8yfeeXrupcnNzlZOT4zGWnp5u/xWkaZGRTp%2BsC3rrS/TWt%2BgvAlFz2m8vyIAlSa1atfJ43rlzZ9XW1iomJkbl5eUec%2BXl5fbRobi4uLPOx8TEKC4uTpLkdrvt66xOH2k6Pf9T7z0XY8aMUXJysseYw9FCFRUnzmmdxoSEBCsy0qmqqhqdOtXQ%2BBvQZPTWd%2Bitb9FfBDJf7LdRURFG12uqCzJgvf3223r44Yf15ptvyun8Ps1%2B%2BumnatWqlRITE/XMM8/IsiwFBQXJsizt3r1bf/jDHyRJLpdL%2Bfn5GjlypCTpyJEjOnLkiFwul%2BLi4tSuXTvl5%2BfbASs/P1/t2rVTbGys4uPj9c0336i0tFS/%2BtWv7Pn4%2BPhzqj82NvaM04Fu9zHV1/vmw%2B7UqQafrX2xo7e%2BQ299i/4iEDWn/faCPNmZkJCgsLAwTZ8%2BXQcPHtT27duVnZ2tu%2B%2B%2BW0OGDFFVVZXmz5%2Bv/fv3a/78%2BaqpqdHQoUMlSbfeeqs2b96sdevWad%2B%2BfZoyZYquvfZadezY0Z5ftGiRdu3apV27dmnx4sVKS0uTJHXs2FH9%2B/fX5MmTtW/fPq1bt05bt27V7bff7rdeAACAwHNBHsFq2bKlnnvuOT366KNKTU1VRESE/uu//kt33323goKC9PTTT2vmzJn661//qiuuuELLly9XixYtJH0fzubMmaOlS5fqX//6l6655hrNnTvXXvuuu%2B7St99%2Bq0mTJikkJESjRo3SuHHj7Pns7GxlZWXplltuUUxMjB599FFdddVVP3cLAABAAAuyLMvydxEXA7f7mPE1HY5gRUVFqKLiRLM5pHqhoLe%2BQ299K9D6O3TJO/4uAReID%2BcP8cl%2BGxPzC6PrNdUFeYoQAAAgkBGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwxz%2BLgAALnRDl7zj7xLOyYfzh/i7BOCixxEsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGHcaBQAmpmkrG3%2BLgG46HEECwAAwDACFgAAgGEELAAAAMMIWAAAAIZxkTuAnx0XYQNo7jiCBQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABjGfbACXCDdT%2Bi1%2B6/xdwkAAPwsOIIFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAOova2lpNmzZNSUlJ6t%2B/v1asWOHvkgAAQADhRqNnkZ2drT179mj16tU6fPiwpk6dqnbt2mnIkCH%2BLg0AAAQAAtaPVFdXa926dXrmmWfUo0cP9ejRQ8XFxVq7di0BCwAANAmnCH9k3759qq%2BvV0JCgj2WmJiowsJCNTQ0%2BLEyAAAQKDiC9SNut1tRUVEKDQ21x6Kjo1VbW6vKykq1bt260TXKysrkdrs9xhyOFoqNjTVaa0hIYOVjhyNw6j3d20Dq8XWL3vZ3CQBwXgLpM7cxBKwfqamp8QhXkuzndXV1TVojNzdXOTk5HmOTJk3SfffdZ6bI/6%2BsrExjf1WsMWPGGA9vF7uysjKtXv1sQPX2w/mBcQq7rKxMubm5AdXbQEJ/fYfe%2Bk5ZWZmeeOKJZtXb5hMVDQkLCzsjSJ1%2BHh4e3qQ1xowZo40bN3o8xowZY7xWt9utnJycM46W4fzRW9%2Bht75Ff32H3vpOc%2BwtR7B%2BJC4uThUVFaqvr5fD8X173G63wsPDFRkZ2aQ1YmNjm00CBwAA544jWD/SrVs3ORwOFRQU2GP5%2Bfnq2bOngoNpFwAAaByJ4UecTqdSUlI0a9YsFRUVKS8vTytWrFBaWpq/SwMAAAEiZNasWbP8XcSFpl%2B/ftq7d68WL16sd999V3/4wx%2BUmprq77LOKiIiQn369FFERIS/S2l26K3v0Fvfor%2B%2BQ299p7n1NsiyLMvfRQAAADQnnCIEAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAClC1tbWaNm2akpKS1L9/f61YscLfJQWso0ePKiMjQ3369NGAAQO0YMEC1dbWSpJKSko0btw4xcfHa9iwYdqxY4efqw1cEyZM0COPPGI/37t3r0aPHi2Xy6XU1FTt2bPHj9UFnrq6Os2ePVu9e/fWb37zGz322GM6fd9oenv%2Bjhw5ookTJ6pXr15KTk7WqlWr7Dn66526ujoNHz5cu3btssca%2B4zduXOnhg8fLpfLpbS0NJWUlPzcZXuNgBWgsrOztWfPHq1evVozZ85UTk6Otm3b5u%2ByAo5lWcrIyFBNTY3Wrl2rxx9/XG%2B88YaWLFkiy7KUnp6u6OhobdiwQSNGjNCkSZN0%2BPBhf5cdcP7%2B979r%2B/bt9vPq6mpNmDBBSUlJ2rhxoxISEjRx4kRVV1f7scrAMm/ePO3cuVPPPfecFi9erL/%2B9a/Kzc2lt4bcf//9atGihTZu3Khp06ZpyZIl%2Bsc//kF/vVRbW6sHH3xQxcXF9lhjn7GHDx9Wenq6Ro4cqfXr16t169a69957FTBfQGMh4Jw4ccLq2bOn9d5779ljy5Yts%2B644w4/VhWY9u/fb3Xp0sVyu9322JYtW6z%2B/ftbO3futOLj460TJ07Yc2PHjrWWLl3qj1IDVkVFhTVw4EArNTXVmjp1qmVZlrVu3TorOTnZamhosCzLshoaGqzrrrvO2rBhgz9LDRgVFRVW9%2B7drV27dtljTz/9tPXII4/QWwMqKyutLl26WJ999pk9NmnSJGv27Nn01wvFxcXWTTfdZP32t7%2B1unTpYv/uauwzdsmSJR6/16qrq62EhASP330XMo5gBaB9%2B/apvr5eCQkJ9lhiYqIKCwvV0NDgx8oCT0xMjJ599llFR0d7jB8/flyFhYXq3r27WrRoYY8nJiaqoKDg5y4zoP35z3/WiBEjdPnll9tjhYWFSkxMVFBQkCQpKChIvXr1ordNlJ%2Bfr5YtW6pPnz722IQJE7RgwQJ6a0B4eLicTqc2btyo7777TgcPHtTu3bvVrVs3%2BuuF999/X3379lVubq7HeGOfsYWFhUpKSrLnnE6nevToETC9JmAFILfbraioKIWGhtpj0dHRqq2tVWVlpR8rCzyRkZEaMGCA/byhoUEvvPCC%2BvXrJ7fbrdjYWI/Xt2nTRqWlpT93mQHr3Xff1Ycffqh7773XY5zenp%2BSkhK1b99emzZt0pAhQ/Sf//mfWrZsmRoaGuitAWFhYZoxY4Zyc3Plcrk0dOhQDRw4UKNHj6a/Xrjttts0bdo0OZ1Oj/HGehnovXb4uwCcu5qaGo9wJcl%2BXldX54%2BSmo2FCxdq7969Wr9%2BvVatWnXWPtPjpqmtrdXMmTM1Y8YMhYeHe8z91D5Mb5umurpaX331lV5%2B%2BWUtWLBAbrdbM2bMkNPppLeGHDhwQIMGDdL48eNVXFysuXPn6uqrr6a/BjXWy0DvNQErAIWFhZ2xg51%2B/uNfZGi6hQsXavXq1Xr88cfVpUsXhYWFnXFEsK6ujh43UU5Ojq688kqPI4Sn/dQ%2BTG%2BbxuFw6Pjx41q8eLHat28v6fsLgl966SV16tSJ3p6nd999V%2BvXr9f27dsVHh6unj176ujRo/rLX/6ijh070l9DGvuM/anPicjIyJ%2BtxvPBKcIAFBcXp4qKCtXX19tjbrdb4eHhAbPjXWjmzp2rlStXauHChbrhhhskfd/n8vJyj9eVl5efccgaZ/f3v/9deXl5SkhIUEJCgrZs2aItW7YoISGB3p6nmJgYhYWF2eFKkn7961/ryJEj9NaAPXv2qFOnTh6hqXv37jp8%2BDD9NaixXv7UfExMzM9W4/kgYAWgbt26yeFweFzol5%2Bfr549eyo4mP%2Bl5yonJ0cvv/yyHnvsMd144432uMvl0ieffKKTJ0/aY/n5%2BXK5XP4oM%2BA8//zz2rJlizZt2qRNmzYpOTlZycnJ2rRpk1wulz766CP7z60ty9Lu3bvpbRO5XC7V1tbqiy%2B%2BsMcOHjyo9u3b01sDYmNj9dVXX3kcPTl48KA6dOhAfw1q7DPW5XIpPz/fnqupqdHevXsDptf8Ng5ATqdTKSkpmjVrloqKipSXl6cVK1YoLS3N36UFnAMHDujJJ5/U73//eyUmJsrtdtuPPn36qG3btsrMzFRxcbGWL1%2BuoqIijRo1yt9lB4T27durU6dO9iMiIkIRERHq1KmThgwZoqqqKs2fP1/79%2B/X/PnzVVNTo6FDh/q77IBw2WWX6dprr1VmZqb27dunt99%2BW8uXL9ett95Kbw1ITk7WJZdcounTp%2BuLL77Q//3f/%2Bmpp57S7373O/prUGOfsampqdq9e7eWL1%2Bu4uJiZWZmqkOHDurbt6%2BfK28if94jAt6rrq62pkyZYsXHx1v9%2B/e3Vq5c6e%2BSAtLTTz9tdenS5awPy7KsL7/80rr99tutK6%2B80rrxxhutd955x88VB66pU6fa98GyLMsqLCy0UlJSrJ49e1qjRo2yPvnkEz9WF3iqqqqsyZMnW/Hx8dbVV19tPfHEE/a9mejt%2BSsuLrbGjRtn9erVyxo8eLC1cuVK%2BmvAD%2B%2BDZVmNf8a%2B%2Beab1vXXX29dddVV1tixY61Dhw793CV7LciyAuWWqAAAAIGBU4QAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYNj/A3PnTxHfKgCqAAAAAElFTkSuQmCC"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common-7503158662840697896">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">99.9875</td>
<td class="number">16061</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:4%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.0</td>
<td class="number">9913</td>
<td class="number">1.7%</td>
<td>
<div class="bar" style="width:2%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">96.9688</td>
<td class="number">8127</td>
<td class="number">1.4%</td>
<td>
<div class="bar" style="width:2%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">96.6281</td>
<td class="number">6164</td>
<td class="number">1.1%</td>
<td>
<div class="bar" style="width:2%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">98.4594</td>
<td class="number">2099</td>
<td class="number">0.4%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">99.9872</td>
<td class="number">2082</td>
<td class="number">0.4%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">56.8188</td>
<td class="number">1202</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">99.9868</td>
<td class="number">1023</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">99.9869</td>
<td class="number">998</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">79.3376</td>
<td class="number">933</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (216564)</td>
<td class="number">520391</td>
<td class="number">91.2%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">1307</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme-7503158662840697896">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">0.0</td>
<td class="number">9913</td>
<td class="number">1.7%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.00013686</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.000140798</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.00016036</td>
<td class="number">7</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">0.000181845</td>
<td class="number">2</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">99.9872</td>
<td class="number">2082</td>
<td class="number">0.4%</td>
<td>
<div class="bar" style="width:13%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">99.9873</td>
<td class="number">407</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:3%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">99.9874</td>
<td class="number">697</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:5%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">99.9875</td>
<td class="number">16061</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">100.0</td>
<td class="number">795</td>
<td class="number">0.1%</td>
<td>
<div class="bar" style="width:5%">&nbsp;</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4">ZI88001.PV<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>545121</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>95.8%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.2%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1308</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>1.0125</td>
</tr>
<tr>
<th>Minimum</th>
<td>-0.022401</td>
</tr>
<tr>
<th>Maximum</th>
<td>101.31</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="minihistogram3658644127677351895">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAAQpJREFUeJzt1sEJAkEQRUEVQzIIc/JsTgaxObV3kQcKy4hU3Rv%2B5TFznJk5AG%2BdVg%2BAX3ZePeDV5fb4%2BGa7X3dYAl4QSAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAI59UD%2BF%2BX2%2BPjm%2B1%2B3WHJ944zM6tHwK/yxYIgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoHwBJV2DpGLuzL6AAAAAElFTkSuQmCC">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives3658644127677351895,#minihistogram3658644127677351895"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives3658644127677351895">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles3658644127677351895"
aria-controls="quantiles3658644127677351895" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram3658644127677351895" aria-controls="histogram3658644127677351895"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common3658644127677351895" aria-controls="common3658644127677351895"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme3658644127677351895" aria-controls="extreme3658644127677351895"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles3658644127677351895">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>-0.022401</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>-0.010178</td>
</tr>
<tr>
<th>Q1</th>
<td>-0.0065877</td>
</tr>
<tr>
<th>Median</th>
<td>-0.0053271</td>
</tr>
<tr>
<th>Q3</th>
<td>-0.0036597</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>0.013505</td>
</tr>
<tr>
<th>Maximum</th>
<td>101.31</td>
</tr>
<tr>
<th>Range</th>
<td>101.33</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>0.002928</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>9.9261</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>9.804</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>95.877</td>
</tr>
<tr>
<th>Mean</th>
<td>1.0125</td>
</tr>
<tr>
<th>MAD</th>
<td>2.0094</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>9.8588</td>
</tr>
<tr>
<th>Sum</th>
<td>576080</td>
</tr>
<tr>
<th>Variance</th>
<td>98.528</td>
</tr>
<tr>
<th>Memory size</th>
<td>4.4 MiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram3658644127677351895">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzt3Xt0lNW9//FPkmmSSWhKIJcft4WnWArEOAmJAQt4NMcLKBUqIEe0AbWF1sQsTytqEg%2BEm7QJKotGW1PkotKachEELbacY6kURA1mIqVpg1qNQMikJg2SSUKS5/cHP%2BbXMWiGsIdhwvu1VtZy9p5n7%2B98hfDJM888CbEsyxIAAACMCQ10AQAAAL0NAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGGYLdAGXCpfrhPE1Q0ND1K9ftD799KQ6Oy3j61%2Bq6Kt/0Ff/oK/%2BQV/950L3Nj7%2Bq37f42w4gxXEQkNDFBISotDQkECX0qvQV/%2Bgr/5BX/2DvvrPpdJbAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGGYLdAE4P%2BkFOwNdgs9%2B%2B8C4QJcAAMAFwRksAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGBbQgPX73/9e3/zmN72%2BcnNzJUmHDh3SjBkz5HA4NG3aNB08eNDr2B07duj666%2BXw%2BFQdna2Pv30U8%2BcZVlasWKFxo4dq4yMDBUVFamzs9Mz39DQoPvvv1%2BpqanKzMzUtm3bvNbubm8AAIAvE9CAdfjwYV133XXas2eP52vp0qVqbm7W3LlzlZ6eri1btig1NVXz5s1Tc3OzJKmyslIFBQXKyclRWVmZmpqalJeX51l37dq12rFjh0pKSrRq1Spt375da9eu9czn5eXpxIkTKisr0w9/%2BEM9%2BuijqqyslKRu9wYAAOhOQAPW%2B%2B%2B/r%2BHDhys%2BPt7zFRMTo1dffVURERF66KGHNGzYMBUUFCg6Olo7d%2B6UJL3wwguaNGmSpk6dqhEjRqioqEi7d%2B9WTU2NJOm5555Tbm6u0tPTNXbsWD344IPasGGDJOnjjz/W66%2B/rqVLl2r48OGaMWOGbr31Vv3qV7%2BSpG73BgAA6E7AA9Zll13WZdzpdCotLU0hISGSpJCQEI0ePVoVFRWe%2BfT0dM/zBwwYoIEDB8rpdOr48eM6duyYrrrqKs98Wlqajhw5orq6OjmdTg0YMECDBw/2mn/33Xd92hsAAKA7tkBtbFmWPvzwQ%2B3Zs0fPPPOMOjo6NHHiROXm5srlcunyyy/3en7//v1VXV0tSaqrq1NCQkKX%2BdraWrlcLknymo%2BLi5Mkz/zZjj1%2B/Lgkdbu3L%2Brq6jx1nGGzRXXZ93yFhQXXZxRstuCo90xfg62/Fzv66h/01T/oq/9cKr0NWMA6evSo3G63wsPDtXLlSn3yySdaunSpWlpaPOP/Kjw8XG1tbZKklpaWL5xvaWnxPP7XOUlqa2vrdu3u5n1RVlamkpISr7Hs7GzPBfyXqtjY6ECXcE5iYuyBLqFXoq/%2BQV/9g776T2/vbcAC1qBBg7R//3597WtfU0hIiEaOHKnOzk7Nnz9fGRkZXQJNW1ubIiMjJUkRERFnnbfb7V5hKiIiwvPfkmS327/w2O7WPjPvi5kzZyozM9NrzGaLUkPDSZ/X8EWwpX/Tr99fwsJCFRNjV1OTWx0dnd0fAJ/QV/%2Bgr/5BX/3nQvc2UD/cByxgSVLfvn29Hg8bNkytra2Kj49XfX2911x9fb3nLbbExMSzzsfHxysxMVHS6bf6zlxndebtujPzX3Tsl619Lm/vJSQkdHm%2By3VC7e2X9l/SYHv9HR2dQVdzMKCv/kFf/YO%2B%2Bk9v723AToG88cYbGjNmjNxut2fsL3/5i/r27eu56NyyLEmnr9c6cOCAHA6HJMnhcKi8vNxz3LFjx3Ts2DE5HA4lJiZq4MCBXvPl5eUaOHCgEhISlJKSoiNHjqi2ttZrPiUlxbP2l%2B0NAADQnYAFrNTUVEVEROjRRx/VBx98oN27d6uoqEjf%2B973NHHiRDU1NWnZsmU6fPiwli1bJrfbrUmTJkmS7rjjDm3btk0bN25UVVWVHnroIV177bUaMmSIZ37FihXav3%2B/9u/fr8cff1xZWVmSpCFDhmj8%2BPGaP3%2B%2BqqqqtHHjRu3YsUN33nmnJHW7NwAAQHdCrDOnagKgurpajz32mCoqKhQdHa3//M//VHZ2tkJCQlRZWamFCxfq/fff1ze/%2BU0tWrRIo0aN8hy7ZcsWrVq1Sv/85z81btw4LVmyRLGxsZKkjo4OFRUVacuWLQoLC9P06dP14x//2HPrhX/84x8qKCjQ3r17FR8fr//6r//S5MmTPWt3t3dPuFwnzuv4s7HZQnXDijeMr%2Bsvv31gXKBL8InNFqrY2Gg1NJzs1aevLzT66h/01T/oq/9c6N7Gx3/V73ucTUAD1qWEgEXAutTRV/%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%2B/2PG5ubtbcuXOVnp6uLVu2KDU1VfPmzVNzc7MkqbKyUgUFBcrJyVFZWZmampqUl5fnOX7t2rXasWOHSkpKtGrVKm3fvl1r1671zOfl5enEiRMqKyvTD3/4Qz366KOqrKz0aW8AAABfBDRgNTY2qqioSMnJyZ6xV199VREREXrooYc0bNgwFRQUKDo6Wjt37pQkvfDCC5o0aZKmTp2qESNGqKioSLt371ZNTY0k6bnnnlNubq7S09M1duxYPfjgg9qwYYMk6eOPP9brr7%2BupUuXavjw4ZoxY4ZuvfVW/epXv/JpbwAAAF8ENGD99Kc/1ZQpU3T55Zd7xpxOp9LS0hQSEiJJCgkJ0ejRo1VRUeGZT09P9zx/wIABGjhwoJxOp44fP65jx47pqquu8synpaXpyJEjqqurk9Pp1IABAzR48GCv%2BXfffdenvQEAAHxhC9TG%2B/bt0zvvvKPt27ersLDQM%2B5yubwClyT1799f1dXVkqS6ujolJCR0ma%2BtrZXL5ZIkr/m4uDhJ8syf7djjx4/7tLev6urqPLWcYbNFddn7fIWFBfwd3nNiswVHvWf6Gmz9vdjRV/%2Bgr/5BX/3nUultQAJWa2urFi5cqAULFigyMtJrzu12Kzw83GssPDxcbW1tkqSWlpYvnG9pafE8/tc5SWpra%2Bt27e7mfVVWVqaSkhKvsezsbOXm5p7TOr1NbGx0oEs4JzEx9kCX0CvRV/%2Bgr/5BX/2nt/c2IAGrpKREV1xxhSZMmNBlLiIiokugaWtr8wSxL5q32%2B1eYSoiIsLz35Jkt9t7vPbnQ2B3Zs6cqczMTK8xmy1KDQ0nz2md7gRb%2Bjf9%2Bv0lLCxUMTF2NTW51dHR2f0B8Al99Q/66h/01X8udG8D9cN9QALWK6%2B8ovr6eqWmpkr6/yHotdde0%2BTJk1VfX%2B/1/Pr6es/ba4mJiWedj4%2BPV2JioqTTb/Wduc7qzFt1Z%2Ba/6NgvW/tc39pLSEjocozLdULt7Zf2X9Jge/0dHZ1BV3MwoK/%2BQV/9g776T2/vbUBOgTz//PPavn27tm7dqq1btyozM1OZmZnaunWrHA6H3n33XVmWJen0fa0OHDggh8MhSXI4HCovL/esdezYMR07dkwOh0OJiYkaOHCg13x5ebkGDhyohIQEpaSk6MiRI6qtrfWaT0lJ8az9ZXsDAAD4IiABa9CgQRo6dKjnKzo6WtHR0Ro6dKgmTpyopqYmLVu2TIcPH9ayZcvkdrs1adIkSdIdd9yhbdu2aePGjaqqqtJDDz2ka6%2B9VkOGDPHMr1ixQvv379f%2B/fv1%2BOOPKysrS5I0ZMgQjR8/XvPnz1dVVZU2btyoHTt26M4775SkbvcGAADwRcA%2BRfhF%2BvTpo2eeeUYLFy7Ub37zG33zm99UaWmpoqKiJEmpqalavHixVq1apX/%2B858aN26clixZ4jn%2B3nvv1T/%2B8Q/l5OQoLCxM06dP15w5czzzRUVFKigo0O233674%2BHg99thjuvLKK33aGwAAwBch1pn3w%2BBXLtcJ42vabKG6YcUbxtf1l98%2BMC7QJfjEZgtVbGy0GhpO9urrAy40%2Buof9NU/6Kv/XOjexsd/1e97nE1wfQwNAAAgCBCwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACG9ShgzZgxQy%2B%2B%2BKJOnDhhuh4AAICg16OANXbsWP3iF7/Q%2BPHj9aMf/Uh79uyRZVmmawMAAAhKPQpYP/7xj/X666/r6aefVlhYmO6//35de%2B21evLJJ/Xhhx%2BarhEAACCo2Hp6YEhIiMaNG6dx48bJ7Xbr%2Beef19NPP63S0lKNHj1as2fP1o033miyVgAAgKDQ44AlSXV1dXr55Zf18ssv629/%2B5tGjx6t73znO6qtrdWjjz6qt99%2BWwUFBaZqBQAACAo9Cljbtm3Ttm3btH//fvXr109Tp07VqlWrdNlll3meM2DAAC1btoyABQAALjk9ClgFBQW67rrr9NRTT%2Bmaa65RaGjXS7m%2B/vWv66677jrvAgEAAIJNjwLWH//4R8XGxqqxsdETriorK5WUlKSwsDBJ0ujRozV69GhzlQIAAASJHn2K8LPPPtPEiRP1y1/%2B0jM2d%2B5cTZkyRceOHTNWHAAAQDDqUcB67LHHNHToUN19992esVdffVUDBgzQ8uXLjRUHAAAQjHoUsN555x098sgjio%2BP94z169dPDz30kN58801jxQEAAASjHgUsm82mpqamLuNut5s7ugMAgEtejwLWNddco6VLl%2Brjjz/2jNXU1Gj58uWaMGGCseIAAACCUY8%2BRfjwww/r7rvv1k033aSYmBhJUlNTk5KSkpSXl2e0QAAAgGDTo4DVv39/vfTSS9q7d6%2Bqq6tls9l0%2BeWX6%2Bqrr1ZISIjpGgEAAIJKj39VTlhYmCZMmMBbggAAAJ/To4Dlcrm0cuVKHThwQKdOnepyYfv//M//GCkOAAAgGPUoYP33f/%2B3Dh48qFtuuUVf/epXTdcEAAAQ1HoUsN58802tXr1a6enppusBAAAIej26TUNUVJT69%2B9vuhYAAIBeoUcBa8qUKVq9erU6OjpM1wMAABD0evQWYWNjo3bs2KE//OEPGjJkiMLDw73mn3vuOSPFAQAABKMe36Zh8uTJJusAAADoNXoUsJYvX266DgAAgF6jR9dgSVJdXZ1KSkr04x//WP/4xz%2B0c%2BdOffDBByZrAwAACEo9ClgfffSRvv3tb%2Bull17Sa6%2B9pubmZr366quaNm2anE7nOa1z7733KjU1Vddee61Wr17tmaupqdGcOXOUkpKim2%2B%2BWXv27PE6du/evZo8ebIcDoeysrJUU1PjNb9u3TpNmDBBqampys/Pl9vt9sy1trYqPz9f6enpGj9%2BvNasWeN1bHd7AwAAfJkeBayf/OQnuv7667Vr1y595StfkSQ98cQTyszM1IoVK3xao7OzU3PnzlVsbKxeeuklLVq0SD//%2Bc%2B1fft2WZal7OxsxcXFafPmzZoyZYpycnJ09OhRSdLRo0eVnZ2t2267TZs2bVK/fv103333ee4o/9prr6mkpESLFy/W%2BvXr5XQ6VVxc7Nm7qKhIBw8e1Pr167Vw4UKVlJRo586dktTt3gAAAN3pUcA6cOCA7r77bq9f7Gyz2XTffffp0KFDPq1RX1%2BvkSNHqrCwUJdddpn%2B/d//XVdffbXKy8v15ptvqqamRosXL9awYcM0b948paSkaPPmzZKkjRs36oorrtA999yjb3zjG1q%2BfLmOHDmit956S9LpTzHOnj1b1113na688kotWrRImzdvltvtVnNzszZu3KiCggIlJSXphhtu0Pe%2B9z1t2LBBkrrdGwAAoDs9ClidnZ3q7OzsMn7y5EmFhYX5tEZCQoJWrlypPn36yLIslZeX6%2B2331ZGRoacTqdGjRqlqKgoz/PT0tJUUVEhSXI6nV53kbfb7UpKSlJFRYU6Ojr03nvvec2npKTo1KlTqqqqUlVVldrb25Wamuq1ttPpVGdnZ7d7AwAAdKdHAWv8%2BPF65plnvEJWY2OjiouLNXbs2HNeLzMzU7NmzVJqaqpuuukmuVwuJSQkeD2nf//%2Bqq2tlaQvnW9qalJra6vXvM1mU9%2B%2BfVVbWyuXy6XY2Five3fFxcWptbVVjY2N3e4NAADQnR7dpuGRRx5RVlaWxo8fr9bWVv3whz/UkSNH1LdvX/3kJz855/VWrVql%2Bvp6FRYWavny5XK73V1uXhoeHq62tjZJ%2BtL5lpYWz%2BOzzVuWddY5SWpra%2Bt2b1/U1dXJ5XJ5jdlsUV2C2/kKC%2Bvxh0ADwmYLjnrP9DXY%2Bnuxo6/%2BQV/9g776z6XS2x4FrMTERG3dulU7duzQX/7yF3V2duqOO%2B7QlClT1KdPn3NeLzk5WdLpT/c9%2BOCDmjZtmten/qTT4ScyMlKSFBER0SXwtLW1KSYmRhEREZ7Hn5%2B32%2B3q6Og465wkRUZGKiIiQo2NjV%2B4ty/KyspUUlLiNZadna3c3Fyf1%2BiNYmOjA13COYmJsQe6hF6JvvoHffUP%2Buo/vb23Pb6Tu91u14wZM3q8cX19vSoqKnT99dd7xi6//HKdOnVK8fHxXe6pVV9f7zkDlJiYqPr6%2Bi7zI0eOVN%2B%2BfRUREaH6%2BnoNGzZMktTe3q7GxkbFx8fLsiw1NDSovb1dNtvpl%2B9yuRQZGamYmBglJibq8OHDX7i3L2bOnKnMzEyvMZstSg0NJ31ewxfBlv5Nv35/CQsLVUyMXU1NbnV0dL3WED1DX/2DvvoHffWfC93bQP1w36OAlZWV9aXzvvwuwk8%2B%2BUQ5OTnavXu3EhMTJUkHDx5Uv379lJaWpjVr1qilpcVz5qi8vFxpaWmSJIfDofLycs9abrdbhw4dUk5OjkJDQ5WcnKzy8nKNGTNGklRRUSGbzaYRI0ZIOn1NVkVFhedC%2BPLyciUnJys0NFQOh0OlpaVfuLcvEhISugQyl%2BuE2tsv7b%2Bkwfb6Ozo6g67mYEBf/YO%2B%2Bgd99Z/e3tsenQIZNGiQ11diYqJaWlpUWVnp9em8L5OcnKykpCTl5%2Bfr8OHD2r17t4qLi/WDH/xAGRkZGjBggPLy8lRdXa3S0lJVVlZq%2BvTpkqRp06bpwIEDKi0tVXV1tfLy8jR48GBPoJo1a5aeffZZ7dq1S5WVlSosLNTtt98uu90uu92uqVOnqrCwUJWVldq1a5fWrFnjCY3d7Q0AANCdEOvM3TkNeOqpp1RbW6slS5b49Pzjx49ryZIl2rdvn%2Bx2u%2B666y7NmzdPISEh%2Buijj1RQUCCn06mhQ4cqPz9f3/rWtzzH7t69W4899phqa2uVmpqqJUuWaMiQIZ750tJSrVu3Tm1tbbrxxhu1cOFCz/VZbrdbhYWF%2Bt3vfqc%2Bffro3nvv1Zw5czzHdrd3T7hcJ87r%2BLOx2UJ1w4o3jK/rL799YFygS/CJzRaq2NhoNTSc7NU/XV1o9NU/6Kt/0Ff/udC9jY//qt/3OBujAeuTTz7R1KlT9c4775hastcgYBGwLnX01T/oq3/QV/%2B5VAKW0auk3333XZ9vNAoAANBbGbvI/bPPPtNf//pXzZo167yLAgAACGY9ClgDBw70%2Bj2EkvSVr3xFd911l2699VYjhQEAAASrHgWsntytHQAA4FLRo4D19ttv%2B/zcq666qidbAAAABK0eBazvfve7nrcI//VDiJ8fCwkJ0V/%2B8pfzrREAACCo9Chg/eIXv9DSpUs1f/58ZWRkKDw8XO%2B9954WL16s73znO7r55ptN1wkAABA0enSbhuXLl2vBggW66aabFBsbq%2BjoaI0dO1aLFy/Wr3/9a6%2B7vAMAAFxqehSw6urqzhqe%2BvTpo4aGhvMuCgAAIJj1KGClpKToiSee0GeffeYZa2xsVHFxsa6%2B%2BmpjxQEAAASjHl2D9eijjyorK0vXXHONLrvsMlmWpb///e%2BKj4/Xc889Z7pGAACAoNKjgDVs2DC9%2Buqr2rFjh95//31J0p133qlbbrlFdrvdaIEAAADBpkcBS5K%2B9rWvacaMGfrkk080ZMgQSafv5g4AAHCp69E1WJZlacWKFbrqqqs0efJk1dbW6uGHH1ZBQYFOnTplukYAAICg0qOA9fzzz2vbtm1auHChwsPDJUnXX3%2B9du3apZKSEqMFAgAABJseBayysjItWLBAt912m%2Bfu7TfffLOWLl2q7du3Gy0QAAAg2PQoYH3yyScaOXJkl/ERI0bI5XKdd1EAAADBrEcBa9CgQXrvvfe6jP/xj3/0XPAOAABwqerRpwjvvfdeLVq0SC6XS5Zlad%2B%2BfSorK9Pzzz%2BvRx55xHSNAAAAQaVHAWvatGlqb2/Xz3/%2Bc7W0tGjBggXq16%2BfHnjgAd1xxx2mawQAAAgqPQpYO3bs0MSJEzVz5kx9%2BumnsixL/fv3N10bAABAUOrRNViLFy/2XMzer18/whUAAMC/6FHAuuyyy/S3v/3NdC0AAAC9Qo/eIhwxYoQefPBBrV69WpdddpkiIiK85pcvX26kOAAAgGDUo4D14YcfKi0tTZK47xUAAMDn%2BBywioqKlJOTo6ioKD3//PP%2BrAkAACCo%2BXwN1tq1a%2BV2u73G5s6dq7q6OuNFAQAABDOfA5ZlWV3G3n77bbW2thotCAAAINj16FOEAAAA%2BGIELAAAAMPOKWCFhIT4qw4AAIBe45xu07B06VKve16dOnVKxcXFio6O9noe98ECAACXMp8D1lVXXdXlnlepqalqaGhQQ0OD8cIAAACClc8Bi3tfAQAA%2BIaL3AEAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGBSxgHT9%2BXLm5ucrIyNCECRO0fPlytba2SpJqamo0Z84cpaSk6Oabb9aePXu8jt27d68mT54sh8OhrKws1dTUeM2vW7dOEyZMUGpqqvLz8%2BV2uz1zra2tys/PV3p6usaPH681a9Z4Hdvd3gAAAN0JSMCyLEu5ublyu93asGGDnnzySb3%2B%2ButauXKlLMtSdna24uLitHnzZk2ZMkU5OTk6evSoJOno0aPKzs7Wbbfdpk2bNqlfv3667777ZFmWJOm1115TSUmJFi9erPXr18vpdKq4uNizd1FRkQ4ePKj169dr4cKFKikp0c6dOz11fdneAAAAvjinX/ZsygcffKCKigr96U9/UlxcnCQpNzdXP/3pT3XNNdeopqZGL774oqKiojRs2DDt27dPmzdv1v3336%2BNGzfqiiuu0D333CPp9C%2BWHjdunN566y2NGTNGzz33nGbPnq3rrrtOkrRo0SLde%2B%2B9mj9/vizL0saNG/XLX/5SSUlJSkpKUnV1tTZs2KCJEyfqzTff/NK9AQAAfBGQM1jx8fFavXq1J1yd8dlnn8npdGrUqFGKioryjKelpamiokKS5HQ6lZ6e7pmz2%2B1KSkpSRUWFOjo69N5773nNp6Sk6NSpU6qqqlJVVZXa29uVmprqtbbT6VRnZ2e3ewMAAPgiIGewYmJiNGHCBM/jzs5OvfDCCxo7dqxcLpcSEhK8nt%2B/f3/V1tZK0pfONzU1qbW11WveZrOpb9%2B%2Bqq2tVWhoqGJjYxUeHu6Zj4uLU2trqxobG7vdGwAAwBcBCVifV1xcrEOHDmnTpk1at26dVwCSpPDwcLW1tUmS3G73F863tLR4Hp9t3rKss85JUltb25eufS7q6urkcrm8xmy2qC7h7XyFhQXXh0BttuCo90xfg62/Fzv66h/01T/oq/9cKr0NeMAqLi7W%2BvXr9eSTT2r48OGKiIhQY2Oj13Pa2toUGRkpSYqIiOgSeNra2hQTE6OIiAjP48/P2%2B12dXR0nHVOkiIjI7vd21dlZWUqKSnxGsvOzlZubu45rdPbxMZGB7qEcxITYw90Cb0SffUP%2Buof9NV/entvAxqwlixZol//%2BtcqLi7WTTfdJElKTEzU4cOHvZ5XX1/vOfuTmJio%2Bvr6LvMjR45U3759FRERofr6eg0bNkyS1N7ersbGRsXHx8uyLDU0NKi9vV022%2BmX7nK5FBkZqZiYmG739tWDUn7ZAAATeElEQVTMmTOVmZnpNWazRamh4eQ5rdOdYEv/pl%2B/v4SFhSomxq6mJrc6OjoDXU6vQV/9g776B331nwvd20D9cB%2BwgFVSUqIXX3xRTzzxhCZOnOgZdzgcKi0tVUtLi%2BfMUXl5udLS0jzz5eXlnue73W4dOnRIOTk5Cg0NVXJyssrLyzVmzBhJUkVFhWw2m0aMGCHp9DVZFRUVngvhy8vLlZycrNDQ0G739lVCQkKXUOZynVB7%2B6X9lzTYXn9HR2fQ1RwM6Kt/0Ff/oK/%2B09t7G5BTIO%2B//76efvppff/731daWppcLpfnKyMjQwMGDFBeXp6qq6tVWlqqyspKTZ8%2BXZI0bdo0HThwQKWlpaqurlZeXp4GDx7sCVSzZs3Ss88%2Bq127dqmyslKFhYW6/fbbZbfbZbfbNXXqVBUWFqqyslK7du3SmjVrlJWVJUnd7g0AAOCLEOvMHTovoNLSUj3%2B%2BONnnfvrX/%2Bqjz76SAUFBXI6nRo6dKjy8/P1rW99y/Oc3bt367HHHlNtba1SU1O1ZMkSDRkyxGv9devWqa2tTTfeeKMWLlzouT7L7XarsLBQv/vd79SnTx/de%2B%2B9mjNnjufY7vbuKZfrxHmv8Xk2W6huWPGG8XX95bcPjAt0CT6x2UIVGxuthoaTvfqnqwuNvvoHffUP%2Buo/F7q38fFf9fseZxOQgHUpImARsC519NU/6Kt/0Ff/uVQCVnBdJQ0AABAECFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYFPGC1tbVp8uTJ2r9/v2espqZGc%2BbMUUpKim6%2B%2BWbt2bPH65i9e/dq8uTJcjgcysrKUk1Njdf8unXrNGHCBKWmpio/P19ut9sz19raqvz8fKWnp2v8%2BPFas2aN17Hd7Q0AANCdgAas1tZW/ehHP1J1dbVnzLIsZWdnKy4uTps3b9aUKVOUk5Ojo0ePSpKOHj2q7Oxs3Xbbbdq0aZP69eun%2B%2B67T5ZlSZJee%2B01lZSUaPHixVq/fr2cTqeKi4s96xcVFengwYNav369Fi5cqJKSEu3cudOnvQEAAHwRsIB1%2BPBh3X777fr444%2B9xt98803V1NRo8eLFGjZsmObNm6eUlBRt3rxZkrRx40ZdccUVuueee/SNb3xDy5cv15EjR/TWW29Jkp577jnNnj1b1113na688kotWrRImzdvltvtVnNzszZu3KiCggIlJSXphhtu0Pe%2B9z1t2LDBp70BAAB8EbCA9dZbb2nMmDEqKyvzGnc6nRo1apSioqI8Y2lpaaqoqPDMp6ene%2BbsdruSkpJUUVGhjo4Ovffee17zKSkpOnXqlKqqqlRVVaX29nalpqZ6re10OtXZ2dnt3gAAAL6wBWrjWbNmnXXc5XIpISHBa6x///6qra3tdr6pqUmtra1e8zabTX379lVtba1CQ0MVGxur8PBwz3xcXJxaW1vV2NjY7d4AAAC%2BCFjA%2BiJut9srAElSeHi42traup1vaWnxPD7bvGVZZ52TTl9s393evqqrq5PL5fIas9miuoS38xUWFvDPKJwTmy046j3T12Dr78WOvvoHffUP%2Buo/l0pvL7qAFRERocbGRq%2BxtrY2RUZGeuY/H3ja2toUExOjiIgIz%2BPPz9vtdnV0dJx1TpIiIyO73dtXZWVlKikp8RrLzs5Wbm7uOa3T28TGRge6hHMSE2MPdAm9En31D/rqH/TVf3p7by%2B6gJWYmKjDhw97jdXX13vO/iQmJqq%2Bvr7L/MiRI9W3b19FRESovr5ew4YNkyS1t7ersbFR8fHxsixLDQ0Nam9vl812%2BqW7XC5FRkYqJiam2719NXPmTGVmZnqN2WxRamg4eU7rdCfY0r/p1%2B8vYWGhiomxq6nJrY6OzkCX02vQV/%2Bgr/5BX/3nQvc2UD/cX3QBy%2BFwqLS0VC0tLZ4zR%2BXl5UpLS/PMl5eXe57vdrt16NAh5eTkKDQ0VMnJySovL9eYMWMkSRUVFbLZbBoxYoSk09dkVVRUeC6ELy8vV3JyskJDQ7vd21cJCQldQpnLdULt7Zf2X9Jge/0dHZ1BV3MwoK/%2BQV/9g776T2/v7UV3CiQjI0MDBgxQXl6eqqurVVpaqsrKSk2fPl2SNG3aNB04cEClpaWqrq5WXl6eBg8e7AlUs2bN0rPPPqtdu3apsrJShYWFuv3222W322W32zV16lQVFhaqsrJSu3bt0po1a5SVleXT3gAAAL646AJWWFiYnn76ablcLt122216%2BeWX9dRTT2ngwIGSpMGDB%2BtnP/uZNm/erOnTp6uxsVFPPfWUQkJCJEm33HKL5s2bpwULFuiee%2B7RlVdeqfnz53vWz8vLU1JSkmbPnq1Fixbp/vvv14033ujT3gAAAL4Isc7cAh1%2B5XKdML6mzRaqG1a8YXxdf/ntA%2BMCXYJPbLZQxcZGq6HhZK8%2BfX2h0Vf/oK/%2BQV/950L3Nj7%2Bq37f42wuujNYAAAAwY6ABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMALWWbS2tio/P1/p6ekaP3681qxZE%2BiSAABAELEFuoCLUVFRkQ4ePKj169fr6NGjevjhhzVw4EBNnDgx0KUBAIAgQMD6nObmZm3cuFG//OUvlZSUpKSkJFVXV2vDhg0ELABAUJm08k%2BBLsFnv31gXKBLMIq3CD%2BnqqpK7e3tSk1N9YylpaXJ6XSqs7MzgJUBAIBgwRmsz3G5XIqNjVV4eLhnLC4uTq2trWpsbFS/fv26XaOurk4ul8trzGaLUkJCgtFaw8KCKx/bbMFR75m%2BBlt/L3b01T/oq3/Q1wsvWP6N8BUB63PcbrdXuJLkedzW1ubTGmVlZSopKfEay8nJ0f3332%2BmyP%2Bnrq5Os/9PtWbOnGk8vF3K6urqtH79avpqGH31D/rqH72lr%2B8su/gubamrq1NZWVnQ97Y7vSsuGhAREdElSJ15HBkZ6dMaM2fO1JYtW7y%2BZs6cabxWl8ulkpKSLmfLcH7oq3/QV/%2Bgr/5BX/3nUuktZ7A%2BJzExUQ0NDWpvb5fNdro9LpdLkZGRiomJ8WmNhISEXp3KAQDAl%2BMM1ueMHDlSNptNFRUVnrHy8nIlJycrNJR2AQCA7pEYPsdut2vq1KkqLCxUZWWldu3apTVr1igrKyvQpQEAgCARVlhYWBjoIi42Y8eO1aFDh/T4449r3759%2BsEPfqBp06YFuqyzio6OVkZGhqKjowNdSq9CX/2DvvoHffUP%2Buo/l0JvQyzLsgJdBAAAQG/CW4QAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYQaq1tVX5%2BflKT0/X%2BPHjtWbNmkCXFJSOHz%2Bu3NxcZWRkaMKECVq%2BfLlaW1slSTU1NZozZ45SUlJ08803a8%2BePQGuNjjNnTtXjzzyiOfxoUOHNGPGDDkcDk2bNk0HDx4MYHXBpa2tTYsWLdJVV12lb33rW3riiSd05l7R9LXnjh07pnnz5mn06NHKzMzUunXrPHP09dy1tbVp8uTJ2r9/v2esu%2B%2Bne/fu1eTJk%2BVwOJSVlaWampoLXbZxBKwgVVRUpIMHD2r9%2BvVauHChSkpKtHPnzkCXFVQsy1Jubq7cbrc2bNigJ598Uq%2B//rpWrlwpy7KUnZ2tuLg4bd68WVOmTFFOTo6OHj0a6LKDyiuvvKLdu3d7Hjc3N2vu3LlKT0/Xli1blJqaqnnz5qm5uTmAVQaPpUuXau/evXr22Wf1%2BOOP6ze/%2BY3Kysro63l64IEHFBUVpS1btig/P18rV67U73//e/raA62trfrRj36k6upqz1h330%2BPHj2q7Oxs3Xbbbdq0aZP69eun%2B%2B67T0H/i2YsBJ2TJ09aycnJ1ptvvukZe%2Bqpp6y77rorgFUFn8OHD1vDhw%2B3XC6XZ2z79u3W%2BPHjrb1791opKSnWyZMnPXOzZ8%2B2Vq1aFYhSg1JDQ4N1zTXXWNOmTbMefvhhy7Isa%2BPGjVZmZqbV2dlpWZZldXZ2WjfccIO1efPmQJYaFBoaGqxRo0ZZ%2B/fv94w988wz1iOPPEJfz0NjY6M1fPhw669//atnLCcnx1q0aBF9PUfV1dXWrbfean3729%2B2hg8f7vk3qrvvpytXrvT696u5udlKTU31%2BjcuGHEGKwhVVVWpvb1dqampnrG0tDQ5nU51dnYGsLLgEh8fr9WrVysuLs5r/LPPPpPT6dSoUaMUFRXlGU9LS1NFRcWFLjNo/fSnP9WUKVN0%2BeWXe8acTqfS0tIUEhIiSQoJCdHo0aPpqw/Ky8vVp08fZWRkeMbmzp2r5cuX09fzEBkZKbvdri1btujUqVP64IMPdODAAY0cOZK%2BnqO33npLY8aMUVlZmdd4d99PnU6n0tPTPXN2u11JSUlB32cCVhByuVyKjY1VeHi4ZywuLk6tra1qbGwMYGXBJSYmRhMmTPA87uzs1AsvvKCxY8fK5XIpISHB6/n9%2B/dXbW3thS4zKO3bt0/vvPOO7rvvPq9x%2BtpzNTU1GjRokLZu3aqJEyfqP/7jP/TUU0%2Bps7OTvp6HiIgILViwQGVlZXI4HJo0aZKuueYazZgxg76eo1mzZik/P192u91rvLs%2B9tY%2B2wJdAM6d2%2B32CleSPI/b2toCUVKvUFxcrEOHDmnTpk1at27dWXtMf7vX2tqqhQsXasGCBYqMjPSa%2B6I/u/S1e83Nzfroo4/04osvavny5XK5XFqwYIHsdjt9PU/vv/%2B%2BrrvuOt19992qrq7WkiVLdPXVV9NXQ7rrY2/tMwErCEVERHT5g3fm8ef/QYNviouLtX79ej355JMaPny4IiIiupwNbGtro78%2BKCkp0RVXXOF1dvCML/qzS1%2B7Z7PZ9Nlnn%2Bnxxx/XoEGDJJ2%2BOPjXv/61hg4dSl97aN%2B%2Bfdq0aZN2796tyMhIJScn6/jx4/r5z3%2BuIUOG0FcDuvt%2B%2BkXfF2JiYi5Yjf7AW4RBKDExUQ0NDWpvb/eMuVwuRUZGBv0fyEBYsmSJ1q5dq%2BLiYt10002STve4vr7e63n19fVdTmOjq1deeUW7du1SamqqUlNTtX37dm3fvl2pqan09TzEx8crIiLCE64k6d/%2B7d907Ngx%2BnoeDh48qKFDh3qFplGjRuno0aP01ZDu%2BvhF8/Hx8ResRn8gYAWhkSNHymazeV0AWF5eruTkZIWG8r/0XJSUlOjFF1/UE088oVtuucUz7nA49Oc//1ktLS2esfLycjkcjkCUGVSef/55bd%2B%2BXVu3btXWrVuVmZmpzMxMbd26VQ6HQ%2B%2B%2B%2B67n49eWZenAgQP01QcOh0Otra368MMPPWMffPCBBg0aRF/PQ0JCgj766COvMygffPCBBg8eTF8N6e77qcPhUHl5uWfO7Xbr0KFDQd9n/jUOQna7XVOnTlVhYaEqKyu1a9curVmzRllZWYEuLai8//77evrpp/X9739faWlpcrlcnq%2BMjAwNGDBAeXl5qq6uVmlpqSorKzV9%2BvRAl33RGzRokIYOHer5io6OVnR0tIYOHaqJEyeqqalJy5Yt0%2BHDh7Vs2TK53W5NmjQp0GVf9L7%2B9a/r2muvVV5enqqqqvTGG2%2BotLRUd9xxB309D5mZmfrKV76iRx99VB9%2B%2BKH%2B93//V7/4xS/03e9%2Bl74a0t3302nTpunAgQMqLS1VdXW18vLyNHjwYI0ZMybAlZ%2BnQN4jAj3X3NxsPfTQQ1ZKSoo1fvx4a%2B3atYEuKeg888wz1vDhw8/6ZVmW9fe//9268847rSuuuMK65ZZbrD/96U8Brjg4Pfzww577YFmWZTmdTmvq1KlWcnKyNX36dOvPf/5zAKsLLk1NTdb8%2BfOtlJQU6%2Bqrr7Z%2B9rOfee7RRF97rrq62pozZ441evRo6/rrr7fWrl1LX8/Tv94Hy7K6/376hz/8wbrxxhutK6%2B80po9e7b18ccfX%2BiSjQuxrGC/VSoAAMDFhbcIAQAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMCw/wv7IaEeq4Jx%2BwAAAABJRU5ErkJggg%3D%3D"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common3658644127677351895">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">101.29</td>
<td class="number">216</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">101.289</td>
<td class="number">193</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">101.292</td>
<td class="number">171</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">101.288</td>
<td class="number">166</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">101.294</td>
<td class="number">144</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">101.287</td>
<td class="number">128</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">101.293</td>
<td class="number">126</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">101.291</td>
<td class="number">124</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">101.293</td>
<td class="number">107</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">101.296</td>
<td class="number">78</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (545110)</td>
<td class="number">567539</td>
<td class="number">99.5%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">1308</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme3658644127677351895">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">-0.02240098</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.02235345</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.0223343</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.02230591</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-0.02225837</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">101.304</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">101.3044</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">101.3052</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">101.3073</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">101.3102</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4">target<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>318712</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>56.0%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.2%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>1307</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>52.464</td>
</tr>
<tr>
<th>Minimum</th>
<td>-1.0737</td>
</tr>
<tr>
<th>Maximum</th>
<td>77.728</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-3637478328953171233">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAARtJREFUeJzt3MEJwkAQQFEjlmQR9uQ5PVlEelobkI8KmiW8dw/M5e%2BSw84yxhgn4KXz3gPAzC57D8D/Xe%2BPj7/Z1tsPJpmfGwSCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgr1YB/DNnive4waBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBMN2b9G/eV2/r7QeTwISBcBxHOOwEMhkbSuayjDHG3kPArPykQxAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQHgCfOsUZbLPW1EAAAAASUVORK5CYII%3D">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives-3637478328953171233,#minihistogram-3637478328953171233"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives-3637478328953171233">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles-3637478328953171233"
aria-controls="quantiles-3637478328953171233" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram-3637478328953171233" aria-controls="histogram-3637478328953171233"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common-3637478328953171233" aria-controls="common-3637478328953171233"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme-3637478328953171233" aria-controls="extreme-3637478328953171233"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles-3637478328953171233">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>-1.0737</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>35.523</td>
</tr>
<tr>
<th>Q1</th>
<td>53.834</td>
</tr>
<tr>
<th>Median</th>
<td>54.825</td>
</tr>
<tr>
<th>Q3</th>
<td>55.838</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>56.364</td>
</tr>
<tr>
<th>Maximum</th>
<td>77.728</td>
</tr>
<tr>
<th>Range</th>
<td>78.802</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>2.0041</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>12.142</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.23143</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>12.703</td>
</tr>
<tr>
<th>Mean</th>
<td>52.464</td>
</tr>
<tr>
<th>MAD</th>
<td>5.4145</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>-3.3494</td>
</tr>
<tr>
<th>Sum</th>
<td>29852000</td>
</tr>
<tr>
<th>Variance</th>
<td>147.42</td>
</tr>
<tr>
<th>Memory size</th>
<td>4.4 MiB</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram-3637478328953171233">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzs3X9UVHXi//HXwCwwyJKowIp68qOtPyIFhMg%2Bal/hY6nVJ01SP/3S0j5agXw6pRZS/lZ2QUtdzDJ/pxWRlsmWe9aOa2uluRiQ69Kq/dBUYCgITQSB%2B/3D4%2BxOaiJeGeb2fJwzR%2Bf9nnvv%2BzUz6766cxlshmEYAgAAgGl8PL0AAAAAq6FgAQAAmIyCBQAAYDIKFgAAgMkoWAAAACajYAEAAJiMggUAAGAyChYAAIDJKFgAAAAmo2ABAACYjIIFAABgMgoWAACAyShYAAAAJqNgAQAAmIyCBQAAYDIKFgAAgMkoWAAAACajYAEAAJiMggUAAGAyChYAAIDJKFgAAAAmo2ABAACYjIIFAABgMgoWAACAyShYAAAAJqNgAQAAmIyCBQAAYDIKFgAAgMkoWAAAACajYAEAAJiMggUAAGAyChYAAIDJKFgAAAAmo2ABAACYjIIFAABgMgoWAACAyShYAAAAJqNgAQAAmIyCBQAAYDK7pxfwS%2BF0nmi2Y/n42NSmTSt9//2Pamgwmu24zcHK2SRr5yOb97JyPrJ5r8bmCw39dTOu6l84g2VBPj422Ww2%2BfjYPL0U01k5m2TtfGTzXlbORzbv1dLzUbAAAABMRsECAAAwGQULAADAZBQsAAAAk1GwAAAATEbBAgAAMBkFCwAAwGQULAAAAJNRsAAAAEzm0YL1zTffaPz48YqJidHAgQO1YsUK19zcuXPVvXt3t9v69etd83l5eRo0aJCioqKUnJys77//3jVnGIYWLFigvn37Kj4%2BXpmZmWpoaHDNV1RUaNKkSYqJiVFiYqI2b97stq79%2B/dr5MiRioqKUlJSkvbt23cVnwUAAGA1HitYDQ0NmjBhgkJCQvT2229r1qxZWrZsmbZs2SJJOnTokJ566int3LnTdUtKSpIkFRUVKT09XSkpKcrJyVFVVZXS0tJc%2B169erXy8vKUnZ2tJUuWaMuWLVq9erVrPi0tTSdOnFBOTo4ee%2BwxPfvssyoqKpIknTp1ShMmTFBcXJw2bdqkmJgYTZw4UadOnWrGZwcAAHgzjxWs8vJy9ezZUzNnzlTnzp31//7f/9PNN9%2Bs/Px8SWcL1vXXX6/Q0FDXzeFwSJLWr1%2BvoUOHavjw4erRo4cyMzO1Y8cOHTlyRJK0bt06paamKi4uTn379tXkyZO1YcMGSdLhw4e1fft2zZ07V926ddPIkSN111136bXXXpMkvffee/L399fUqVPVtWtXpaenq1WrVtq6dasHniUAAOCNPFawwsLCtGjRIgUFBckwDOXn52vPnj2Kj4/XyZMnVVpaqs6dO19w28LCQsXFxbnut2/fXhERESosLFRpaamOHz%2BuG2%2B80TUfGxuro0ePqqysTIWFhWrfvr06duzoNv/ZZ5%2B59h0bGyub7ewvj7TZbOrTp48KCgquwrMAAACsyO7pBUhSYmKijh07poSEBA0ePFj79u2TzWbTSy%2B9pA8//FCtW7fWww8/rLvvvluSVFZWprCwMLd9tG3bViUlJXI6nZLkNt%2BuXTtJcs1faNvS0lJJktPp1HXXXXfe/IEDB8wNDQDQ0EUfeXoJl%2BX9J/p5egnwEi2iYC1ZskTl5eWaOXOmMjIyFBkZKZvNpi5duuiBBx7Qnj179NxzzykoKEi33nqrTp8%2BLT8/P7d9%2BPn5qba2VqdPn3bd//c5SaqtrVV1dfVFt5V0yfnGKCsrcxW9c%2Bz2wPOK3dXi6%2Bvj9qeVWDmbZO18ZPNeVs93Oex273kOrP66tfR8LaJg9erVS5JUU1OjyZMna%2B/evUpISFDr1q0lST169NDXX3%2Bt119/Xbfeeqv8/f3PKzy1tbVyOBxuZcrf39/1d0lyOBwX3TYgIECSLjnfGDk5OcrOznYbS05OVmpqaqP3YYbgYEezHq85WTmbZO18ZPNeVs/XGCEhrTy9hMtm9detpebzWMEqLy9XQUGBBg0a5Bq77rrrdObMGZ08eVJt2rRxe3yXLl20a9cuSVJ4eLjKy8vP219oaKjCw8Mlnf2o79x1VufOJp2bv9i2P7fvyzn7NHr0aCUmJrqN2e2Bqqj4sdH7uBK%2Bvj4KDnaoqqpa9fUNl97Ai1g5m2TtfGTzXlbPdzma699xM1j9dWtsPk%2BVYo8VrG%2B//VYpKSnasWOHqxTt27dPbdq00auvvqrPPvtMa9ascT2%2BuLhYXbp0kSRFRUUpPz9fI0aMkCQdP35cx48fV1RUlMLDwxUREaH8/HxXwcrPz1dERITCwsIUHR2to0ePqqSkRL/5zW9c89HR0a59v/LKKzIMQzabTYZhaO/evXr00UcbnS0sLOy8QuZ0nlBdXfO%2BwevrG5r9mM3Fytkka%2Bcjm/eyer7G8Mb8Vn/dWmo%2Bj31w2atXL0VGRmratGk6ePCgduzYoaysLD366KNKSEjQnj17tHLlSh0%2BfFivvfaa3nnnHY0bN06SdO%2B992rz5s3Kzc1VcXGxpk6dqoEDB6pTp06u%2BQULFmj37t3avXu3Fi5cqDFjxkiSOnXqpP79%2B2vKlCkqLi5Wbm6u8vLydP/990uShgwZoqqqKs2bN08HDx7UvHnzVF1draFDh3rmiQIAAF7HY2ewfH199eKLL2rOnDkaPXq0HA6HHnzwQY0ZM0Y2m02LFy/WkiVLtHjxYnXo0EELFy5UTEyMJCkmJkazZ8/WkiVL9MMPP6hfv36aM2eOa9/jx4/Xd999p5SUFPn6%2Buqee%2B7RQw895JrPzMxUenq6Ro0apdDQUM2fP1%2B9e/eWJAUFBenll1/WjBkz9Oabb6p79%2B5avny5AgMDm/X5AQAA3stmGIbh6UX8EjidJ5rtWHa7j0JCWqmi4scWedr0Slg5m2TtfGTzXlczH1/TcPXwvjwrNPTXzbiqf2mZP9sIAADgxShYAAAAJqNgAQAAmIyCBQAAYDIKFgAAgMkoWAAAACajYAEAAJiMggUAAGAyChYAAIDJKFgAAAAmo2ABAACYjIIFAABgMgoWAACAyShYAAAAJqNgAQAAmIyCBQAAYDIKFgAAgMkoWAAAACajYAEAAJiMggUAAGAyChYAAIDJKFgAAAAmo2ABAACYjIIFAABgMgoWAACAyShYAAAAJqNgAQAAmIyCBQAAYDIKFgAAgMkoWAAAACajYAEAAJiMggUAAGAyjxasb775RuPHj1dMTIwGDhyoFStWuOaOHDmihx56SNHR0br99tu1c%2BdOt20//vhj3XnnnYqKitKYMWN05MgRt/k1a9ZowIABiomJ0bRp01RdXe2aq6mp0bRp0xQXF6f%2B/ftr1apVbtte6tgAAAA/x2MFq6GhQRMmTFBISIjefvttzZo1S8uWLdOWLVtkGIaSk5PVrl07bdy4UcOGDVNKSoqOHTsmSTp27JiSk5M1YsQIvfXWW2rTpo0ef/xxGYYhSfrTn/6k7OxszZ49W2vXrlVhYaGysrJcx87MzNS%2Bffu0du1azZgxQ9nZ2dq6daskXfLYAAAAl2L31IHLy8vVs2dPzZw5U0FBQercubNuvvlm5efnq127djpy5IjeeOMNBQYGqmvXrvrkk0%2B0ceNGTZo0Sbm5ubrhhhs0btw4SVJGRob69eunTz/9VDfddJPWrVunsWPHKiEhQZI0a9YsjR8/XlOmTJFhGMrNzdUrr7yiyMhIRUZG6sCBA9qwYYOGDBmiXbt2/eyxAQAALsVjZ7DCwsK0aNEiBQUFyTAM5efna8%2BePYqPj1dhYaGuv/56BQYGuh4fGxurgoICSVJhYaHi4uJccw6HQ5GRkSooKFB9fb0%2B//xzt/no6GidOXNGxcXFKi4uVl1dnWJiYtz2XVhYqIaGhkseGwAA4FI8dgbr3yUmJurYsWNKSEjQ4MGDNX/%2BfIWFhbk9pm3btiopKZEkOZ3Oi85XVVWppqbGbd5ut6t169YqKSmRj4%2BPQkJC5Ofn55pv166dampqVFlZ%2BbP7bqyysjI5nU63Mbs98Lz9Xi2%2Bvj5uf1qJlbNJ1s5HNu9l9XyXw273nufA6q9bS8/XIgrWkiVLVF5erpkzZyojI0PV1dVuBUiS/Pz8VFtbK0k/O3/69GnX/QvNG4ZxwTlJqq2tveSxGyMnJ0fZ2dluY8nJyUpNTW30PswQHOxo1uM1Jytnk6ydj2zey%2Br5GiMkpJWnl3DZrP66tdR8LaJg9erVS9LZn%2B6bPHmykpKS3H7qTzpbfgICAiRJ/v7%2B5xWe2tpaBQcHy9/f33X/p/MOh0P19fUXnJOkgIAA%2Bfv7q7Ky8qLHbozRo0crMTHRbcxuD1RFxY%2BN3seV8PX1UXCwQ1VV1aqvb2iWYzYXK2eTrJ2PbN7L6vkuR3P9O24Gq79ujc3nqVLs0YvcCwoKNGjQINfYddddpzNnzig0NFRffvnleY8/9xFbeHi4ysvLz5vv2bOnWrduLX9/f5WXl6tr166SpLq6OlVWVio0NFSGYaiiokJ1dXWy28/GdzqdCggIUHBwsMLDw3Xw4MGLHrsxwsLCznu803lCdXXN%2Bwavr29o9mM2Fytnk6ydj2zey%2Br5GsMb81v9dWup%2BTz2weW3336rlJQUlZaWusb27dunNm3aKDY2Vn//%2B99dH/dJUn5%2BvqKioiRJUVFRys/Pd81VV1dr//79ioqKko%2BPj3r16uU2X1BQILvdrh49eqhnz56y2%2B1uF63n5%2BerV69e8vHxUVRU1M8eGwAA4FI8VrB69eqlyMhITZs2TQcPHtSOHTuUlZWlRx99VPHx8Wrfvr3S0tJ04MABLV%2B%2BXEVFRbrnnnskSUlJSdq7d6%2BWL1%2BuAwcOKC0tTR07dtRNN90kSbrvvvu0cuVKbdu2TUVFRZo5c6ZGjRolh8Mhh8Oh4cOHa%2BbMmSoqKtK2bdu0atUqjRkzRpIueWwAAIBL8VjB8vX11YsvviiHw6HRo0crPT1dDz74oMaMGeOaczqdGjFihN59910tXbpUERERkqSOHTvqD3/4gzZu3Kh77rlHlZWVWrp0qWw2myTpjjvu0MSJEzV9%2BnSNGzdOvXv31pQpU1zHTktLU2RkpMaOHatZs2Zp0qRJuu2229zWdbFjAwAAXIrNOPf157iqnM4TzXYsu91HISGtVFHxY4v8XPpKWDmbZO18ZPNeVzPf0EUfmbq/q%2B39J/p5egmNxvvyrNDQXzfjqv6lZX55BAAAgBejYAEAAJiMggUAAGAyChYAAIDJKFgAAAAmo2ABAACYjIIFAABgMgoWAACAyShYAAAAJqNgAQAAmIyCBQAAYDIKFgAAgMkoWAAAACajYAEAAJiMggUAAGAyChYAAIDJKFgAAAAmo2ABAACYjIIFAABgMgoWAACAyShYAAAAJqNgAQAAmIyCBQAAYDIKFgAAgMkoWAAAACajYAEAAJiMggUAAGAyChYAAIDJKFgAAAAmo2ABAACYjIIFAABgMo8VrNLSUqWmpio%2BPl4DBgxQRkaGampqJElz585V9%2B7d3W7r1693bZuXl6dBgwYpKipKycnJ%2Bv77711zhmFowYIF6tu3r%2BLj45WZmamGhgbXfEVFhSZNmqSYmBglJiZq8%2BbNbuvav3%2B/Ro4cqaioKCUlJWnfvn1X%2BZkAAABW45GCZRiGUlNTVV1drQ0bNuiFF17Q9u3btWjRIknSoUOH9NRTT2nnzp2uW1JSkiSpqKhI6enpSklJUU5OjqqqqpSWluba9%2BrVq5WXl6fs7GwtWbJEW7Zs0erVq13zaWlpOnHihHJycvTYY4/p2WefVVFRkSTp1KlTmjBhguLi4rRp0ybFxMRo4sSJOnXqVDM%2BOwAAwNt5pGB9%2BeWXKigoUEZGhn77298qLi5OqampysvLk3S2YF1//fUKDQ113RwOhyRp/fr1Gjp0qIYPH64ePXooMzNTO3bs0JEjRyRJ69atU2pqquLi4tS3b19NnjxZGzZskCQdPnxY27dv19y5c9WtWzeNHDlSd911l1577TVJ0nvvvSd/f39NnTpVXbt2VXp6ulq1aqWtW7d64FkCAADeyiMFKzQ0VCtWrFC7du3cxk%2BePKmTJ0%2BqtLRUnTt3vuC2hYWFiouLc91v3769IiIiVFhYqNLSUh0/flw33nijaz42NlZHjx5VWVmZCgsL1b59e3Xs2NFt/rPPPnPtOzY2VjabTZJks9nUp08fFRQUmBUdAAD8AnikYAUHB2vAgAGu%2Bw0NDVq/fr369u2rQ4cOyWaz6aWXXtItt9yiu%2B66S2%2B//bbrsWVlZQoLC3PbX9u2bVVSUiKn0ylJbvPnSty5%2BQttW1paKkkXnS8pKTEhNQAA%2BKWwe3oBkpSVlaX9%2B/frrbfe0t///nfZbDZ16dJFDzzwgPbs2aPnnntOQUFBuvXWW3X69Gn5%2Bfm5be/n56fa2lqdPn3adf/f5ySptrZW1dXVF91W0iXnG6usrMxV9s6x2wPPK29Xi6%2Bvj9ufVmLlbJK185HNe1k93%2BWw273nObD669bS83m8YGVlZWnt2rV64YUX1K1bN/32t79VQkKCWrduLUnq0aOHvv76a73%2B%2Buu69dZb5e/vf17hqa2tlcPhcCtT/v7%2Brr9LksPhuOi2AQEBknTJ%2BcbKyclRdna221hycrJSU1Mvaz9XKjjY0azHa05WziZZOx/ZvJfV8zVGSEgrTy/hsln9dWup%2BTxasObMmaPXX39dWVlZGjx4sKSz1z2dK1fndOnSRbt27ZIkhYeHq7y83G2%2BvLxcoaGhCg8Pl3T2o75z11mdO5N0bv5i2/7cvi/3zNPo0aOVmJjoNma3B6qi4sfL2k9T%2Bfr6KDjYoaqqatXXN1x6Ay9i5WyStfORzXtZPd/laK5/x81g9detsfk8VYo9VrCys7P1xhtv6Pnnn9eQIUNc44sXL9Znn32mNWvWuMaKi4vVpUsXSVJUVJTy8/M1YsQISdLx48d1/PhxRUVFKTw8XBEREcrPz3cVrPz8fEVERCgsLEzR0dE6evSoSkpK9Jvf/MY1Hx0d7dr3K6%2B8IsMwZLPZZBiG9u7dq0cfffSysoWFhZ1XypzOE6qra943eH19Q7Mfs7lYOZtk7Xxk815Wz9cY3pjf6q9bS83nkQ8uDx06pBdffFH/%2B7//q9jYWDmdTtctISFBe/bs0cqVK3X48GG99tpreueddzRu3DhJ0r333qvNmzcrNzdXxcXFmjp1qgYOHKhOnTq55hcsWKDdu3dr9%2B7dWrhwocaMGSNJ6tSpk/r3768pU6aouLhYubm5ysvL0/333y9JGjJkiKqqqjRv3jwdPHhQ8%2BbNU3V1tYYOHeqJpwkAAHgpj5zB%2BuCDD1RfX69ly5Zp2bJlbnNffPGFFi9erCVLlmjx4sXq0KGDFi5cqJiYGElSTEyMZs%2BerSVLluiHH35Qv379NGfOHNf248eP13fffaeUlBT5%2Bvrqnnvu0UMPPeSaz8zMVHp6ukaNGqXQ0FDNnz9fvXv3liQFBQXp5Zdf1owZM/Tmm2%2Bqe/fuWr58uQIDA6/%2BkwIAACzDZhiG4elF/BI4nSea7Vh2u49CQlqpouLHFnna9EpYOZtk7Xxk815XM9/QRR%2BZur%2Br7f0n%2Bnl6CY3G%2B/Ks0NBfN%2BOq/qVl/mwjAACAF6NgAQAAmIyCBQAAYDIKFgAAgMkoWAAAACajYAEAAJiMggUAAGAyChYAAIDJKFgAAAAmo2ABAACYjIIFAABgMgoWAACAyShYAAAAJqNgAQAAmIyCBQAAYDIKFgAAgMkoWAAAACZrUsEaOXKk3njjDZ04ccLs9QAAAHi9JhWsvn376qWXXlL//v315JNPaufOnTIMw%2By1AQAAeKUmFaynnnpK27dv14svvihfX19NmjRJAwcO1AsvvKCvvvrK7DUCAAB4FXtTN7TZbOrXr5/69eun6upqvfrqq3rxxRe1fPly9enTR2PHjtVtt91m5loBAAC8QpMLliSVlZXp3Xff1bvvvqt//vOf6tOnj%2B6%2B%2B26VlJTo2Wef1Z49e5Senm7WWgEAALxCkwrW5s2btXnzZu3evVtt2rTR8OHDtWTJEnXu3Nn1mPbt22vevHkULAAA8IvTpIKVnp6uhIQELV26VLfccot8fM6/lKtLly564IEHrniBAAAA3qZJBevDDz9USEiIKisrXeWqqKhIkZGR8vX1lST16dNHffr0MW%2BlAAAAXqJJP0V48uRJDRkyRK%2B88oprbMKECRo2bJiOHz9u2uIAAAC8UZMK1vz583Xttdfq4Ycfdo299957at%2B%2BvTIyMkxbHAAAgDdqUsH629/%2BpmeeeUahoaGusTZt2mjq1KnatWuXaYsDAADwRk0qWHa7XVVVVeeNV1dX843uAADgF69JBeuWW27R3LlzdfjwYdfYkSNHlJGRoQEDBpi2OAAAAG/UpJ8ifPrpp/Xwww9r8ODBCg4OliRVVVUpMjJSaWlppi4QAADA2zTpDFbbtm319ttva/ny5Zo4caKSk5O1cuVK5ebmul2X9XNKS0uVmpqq%2BPh4DRgwQBkZGaqpqZF09mzYQw89pOjoaN1%2B%2B%2B3auXOn27Yff/yx7rzzTkVFRWnMmDE6cuSI2/yaNWs0YMAAxcTEaNq0aaqurnbN1dTUaNq0aYqLi1P//v21atUqt20vdWwAAIBLaVLBkiRfX18NGDBA48aN05gxY/Sf//mfstlsjdrWMAylpqaqurpaGzZs0AsvvKDt27dr0aJFMgxDycnJateunTZu3Khhw4YpJSVFx44dkyQdO3ZMycnJGjFihN566y21adNGjz/%2BuOvarz/96U/Kzs7W7NmztXbtWhUWFiorK8t17MzMTO3bt09r167VjBkzlJ2dra1bt7rW9XPHBgAAaIwmfUTodDq1aNEi7d27V2fOnDnvwvYPPvjgZ7f/8ssvVVBQoI8%2B%2Bkjt2rWTJKWmpur3v/%2B9brnlFh05ckRvvPGGAgMD1bVrV33yySfauHGjJk2apNzcXN1www0aN26cJCkjI0P9%2BvXTp59%2Bqptuuknr1q3T2LFjlZCQIEmaNWuWxo8frylTpsgwDOXm5uqVV15RZGSkIiMjdeDAAW3YsEFDhgzRrl27fvbYAAAAjdGkgvXcc89p3759uuOOO/TrX//6srcPDQ3VihUrXOXqnJMnT6qwsFDXX3%2B9AgMDXeOxsbEqKCiQJBUWFiouLs4153A4FBkZqYKCAsXFxenzzz9XSkqKaz46OlpnzpxRcXGxDMNQXV2dYmJi3Pb90ksvqaGh4ZLHBgAAaIwmFaxdu3ZpxYoVbkXncgQHB7v9tGFDQ4PWr1%2Bvvn37yul0KiwszO3xbdu2VUlJiST97HxVVZVqamrc5u12u1q3bq2SkhL5%2BPgoJCREfn5%2Brvl27dqppqZGlZWVlzw2AABAYzSpYAUGBqpt27amLSIrK0v79%2B/XW2%2B9pTVr1rgVIEny8/NTbW2tpLPftXWx%2BdOnT7vuX2jeMIwLzklSbW3tz%2B77cpSVlcnpdLqN2e2B55W3q8XX18ftTyuxcjbJ2vnI5r2snu9y2O3e8xxY/XVr6fmaVLCGDRumFStWaPbs2a5f7txUWVlZWrt2rV544QV169ZN/v7%2BqqysdHtMbW2tAgICJEn%2B/v7nFZ7a2loFBwfL39/fdf%2Bn8w6HQ/X19Reck6SAgIBLHruxcnJylJ2d7TaWnJys1NTUy9rPlQoOdjTr8ZqTlbNJ1s5HNu9l9XyNERLSytNLuGxWf91aar4mFazKykrl5eXpL3/5izp16nTeWZ9169Y1aj9z5szR66%2B/rqysLA0ePFiSFB4eroMHD7o9rry83HX2Jzw8XOXl5efN9%2BzZU61bt5a/v7/Ky8vVtWtXSVJdXZ0qKysVGhoqwzBUUVGhuro62e1nozudTgUEBCg4OPiSx26s0aNHKzEx0W3Mbg9URcWPl7WfpvL19VFwsENVVdWqr29olmM2Fytnk6ydj2zey%2Br5Lkdz/TtuBqu/bo3N56lS3KSCJUl33nnnFR04Oztbb7zxhp5//nkNGTLENR4VFaXly5fr9OnTrjNH%2Bfn5io2Ndc3n5%2Be7Hl9dXa39%2B/crJSVFPj4%2B6tWrl/Lz83XTTTdJkgoKCmS329WjRw9JZ6/JOndB/Ll99%2BrVSz4%2BPpc8dmOFhYWdV8qczhOqq2veN3h9fUOzH7O5WDmbZO18ZPNeVs/XGN6Y3%2BqvW0vN16SClZGRcUUHPXTokF588UVNmDBBsbGxbtcrxcfHq3379kpLS9Pjjz%2Bu7du3q6ioyHXMpKQkrVy5UsuXL1dCQoKWLl2qjh07ugrVfffdp%2BnTp6tbt24KCwvTzJkzNWrUKDkcZ08hDh8%2BXDNnztT8%2BfNVVlamVatWufZ9qWMDAAA0RpPPYJWVlenNN9/UV199pWnTpmnPnj3q1q2bunTpcsltP/jgA9XX12vZsmVatmyZ29wXX3yhF198Uenp6RoxYoSuvfZaLV26VBEREZKkjh076g9/%2BIPmz5%2BvpUuXKiYmRkuXLnV9yekdd9yho0ePavr06aqtrdVtt92mKVOmuPaflpammTNnauzYsQoKCtKkSZN02223STr75ak/d2wAAIDGsBk//ZbQRvjmm280atQoBQUFqbS0VO%2B//76ysrL017/%2BVWvWrFFUVNTVWKtXczpPNNux7HYfhYS0UkXFjy3ytOmVsHI2ydr5yOa9rma%2BoYs%2BMnV/V9v7T/Tz9BIajfflWaGhl/99nWZo0s82/u53v9OgQYO0bds2/epXv5IkPf/880pMTNSCBQtMXSAAAIC3aVLB2rt3rx5%2B%2BGG33z1ot9v1%2BOOPa//%2B/aYtDgAAwBs1qWA1NDSooeH803E//vjjFX8vFgAAgLdrUsHq37%2B/Xn75ZbeSVVlZqaysLPXt29e0xQEAAHijJhWsZ555Rvv27VP//v1VU1Ojxx57TAkJCfr222/19NNPm71GAAAAr9Kkr2kIDw/XO%2B%2B8o7y8PP3jH/9QQ0OD7r33Xg0bNkxBQUFmrxEAAMCrNPl7sBwOh0aOHGnmWgAAACyhSQVZo1viAAAgAElEQVRrzJgxPzvf2N9FCAAAYEVNKlgdOnRwu19XV6dvvvlG//znPzV27FhTFgYAAOCtTP1dhEuXLlVJSckVLQgAAMDbNemnCC9m2LBhev/9983cJQAAgNcxtWB99tlnfNEoAAD4xTPtIveTJ0/qiy%2B%2B0H333XfFiwIAAPBmTSpYERERbr%2BHUJJ%2B9atf6YEHHtBdd91lysIAAAC8VZMK1u9%2B9zuz1wEAAGAZTSpYe/bsafRjb7zxxqYcAgAAwGs1qWA9%2BOCDro8IDcNwjf90zGaz6R//%2BMeVrhEAAMCrNKlgvfTSS5o7d66mTJmi%2BPh4%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%2B3viHH37ouuAdAADgl6pJP0U4fvx4zZo1S06nU4Zh6JNPPlFOTo5effVVPfPMM2avEQAAwKs0qWAlJSWprq5Oy5Yt0%2BnTpzV9%2BnS1adNGTzzxhO69916z1wgAAOBVmlSw8vLyNGTIEI0ePVrff/%2B9DMNQ27ZtzV4bAACAV2rSNVizZ892Xczepk2bKy5XtbW1uvPOO7V7927X2Ny5c9W9e3e32/r1613zeXl5GjRokKKiopScnKzvv//eNXfue7r69u2r%2BPh4ZWZmqqGhwTVfUVGhSZMmKSYmRomJidq8ebPbevbv36%2BRI0cqKipKSUlJ2rdv3xXlAwAAvyxNKlidO3fWP//5T1MWUFNToyeffFIHDhxwGz906JCeeuop7dy503VLSkqSJBUVFSk9PV0pKSnKyclRVVWV0tLSXNuuXr1aeXl5ys7O1pIlS7RlyxatXr3aNZ%2BWlqYTJ04oJydHjz32mJ599lkVFRVJkk6dOqUJEyYoLi5OmzZtUkxMjCZOnKhTp06ZkhcAAFhfkz4i7NGjhyZPnqwVK1aoc%2BfO8vf3d5vPyMho1H4OHjyop556SoZhnDd36NAhjR8/XqGhoefNrV%2B/XkOHDtXw4cMlSZmZmUpISNCRI0fUqVMnrVu3TqmpqYqLi5MkTZ48WYsXL9b48eN1%2BPBhbd%2B%2BXR988IE6duyobt26qaCgQK%2B99pp69%2B6t9957T/7%2B/po6dapsNpvS09P14YcfauvWrRoxYsTlPlUAAOAXqElnsL766ivFxsaqVatWcjqd%2Bvbbb91ujfXpp5/qpptuUk5Ojtv4yZMnVVpaqs6dO19wu8LCQld5kqT27dsrIiJChYWFKi0t1fHjx3XjjTe65mNjY3X06FGVlZWpsLBQ7du3V8eOHd3mP/vsM9e%2BY2NjXV%2BgarPZ1KdPHxUUFDQ6FwAA%2BGVr9BmszMxMpaSkKDAwUK%2B%2B%2BqopB7/vvvsuOH7o0CHZbDa99NJL%2BvDDD9W6dWs9/PDDuvvuuyVJZWVlCgsLc9umbdu2KikpcV0b9u/z7dq1kyTX/IW2LS0tlSQ5nU5dd911583/9CPMn1NWVnbeF67a7YHnHfdq8fX1cfvTSqycTbJ2PrLBCux273mNrf6%2BbOn5Gl2wVq9erfHjxyswMNA1NmHCBM2dO9f04vDll1/KZrOpS5cueuCBB7Rnzx4999xzCgoK0q233qrTp0%2B7fgfiOX5%2BfqqtrdXp06dd9/99Tjp7MX11dfVFt5V0yfnGyMnJOe93MiYnJys1NbXR%2BzBDcLCjWY/XnKycTbJ2PrLBm4WEtPL0Ei6b1d%2BXLTVfowvWha6T2rNnj2pqakxdkCQNHz5cCQkJat26taSz13x9/fXXev3113XrrbfK39//vMJTW1srh8PhVqbOXRt27rEOh%2BOi2wYEBEjSJecbY/To0UpMTHQbs9sDVVHxY6P3cSV8fX0UHOxQVVW16usbLr2BF7FyNsna%2BcgGK2iuf8fNYPX3ZWPzeaoUN%2Bki96vNZrO5ytU5Xbp00a5duyRJ4eHhKi8vd5svLy9XaGiowsPDJZ39qO/cdVbnPq47N3%2BxbX9u35dzli4sLOy8xzudJ1RX17xv8Pr6hmY/ZnOxcjbJ2vnIBm/mja%2Bv1d%2BXLTVfi/zgcvHixXrooYfcxoqLi9WlSxdJUlRUlPLz811zx48f1/HjxxUVFaXw8HBFRES4zefn5ysiIkJhYWGKjo7W0aNHVVJS4jYfHR3t2vdnn33mOmNnGIb27t2rqKioqxUXAABYzGUVrHM/WXe1JSQkaM%2BePVq5cqUOHz6s1157Te%2B8847GjRsnSbr33nu1efNm5ebmqri4WFOnTtXAgQNdv2j63nvv1YIFC7R7927t3r1bCxcu1JgxYyRJnTp1Uv/%2B/TVlyhQVFxcrNzdXeXl5uv/%2B%2ByVJQ4YMUVVVlebNm6eDBw9q3rx5qq6u1tChQ5slOwAA8H6X9RHh3Llz3b7z6syZM8rKylKrVu6fbzb2e7Aupnfv3lq8eLGWLFmixYsXq0OHDlq4cKFiYmIkSTExMZo9e7aWLFmiH374Qf369dOcOXNc248fP17fffedUlJS5Ovrq3vuucftjFhmZqbS09M1atQohYaGav78%2Berdu7ckKSgoSC%2B//LJmzJihN998U927d9fy5cvdLu4HAAD4OTbjQlevX8CDDz7Y6J2a9TUOVuJ0nmi2Y9ntPgoJaaWKih9b5OfSV8LK2SRr5yNb8xm66CNPL8Gy3n%2Bin6eX0Ggt7X1ptsbmCw39dTOu6l8afQaL0gQAANA4LfIidwAAAG9GwQIAADAZBQsAAMBkFCwAAACTUbAAAABMRsECAAAwGQULAADAZBQsAAAAk1GwAAAATEbBAgAAMBkFCwAAwGQULAAAAJNRsAAAAExGwQIAADAZBQsAAMBkFCwAAACTUbAAAABMRsECAAAwGQULAADAZBQsAAAAk1GwAAAATEbBAgAAMBkFCwAAwGQULAAAAJNRsAAAAExGwQIAADAZBQsAAMBkFCwAAACTUbAAAABMRsECAAAwmccLVm1tre68807t3r3bNXbkyBE99NBDio6O1u23366dO3e6bfPxxx/rzjvvVFRUlMaMGaMjR464za9Zs0YDBgxQTEyMpk2bpurqatdcTU2Npk2bpri4OPXv31%2BrVq1y2/ZSxwYAALgUjxasmpoaPfnkkzpw4IBrzDAMJScnq127dtq4caOGDRumlJQUHTt2TJJ07NgxJScna8SIEXrrrbfUpk0bPf744zIMQ5L0pz/9SdnZ2Zo9e7bWrl2rwsJCZWVlufafmZmpffv2ae3atZoxY4ays7O1devWRh0bAACgMTxWsA4ePKhRo0bp8OHDbuO7du3SkSNHNHv2bHXt2lUTJ05UdHS0Nm7cKEnKzc3VDTfcoHHjxum3v/2tMjIydPToUX366aeSpHXr1mns2LFKSEhQ7969NWvWLG3cuFHV1dU6deqUcnNzlZ6ersjISN1666165JFHtGHDhkYdGwAAoDE8VrA%2B/fRT3XTTTcrJyXEbLyws1PXXX6/AwEDXWGxsrAoKClzzcXFxrjmHw6HIyEgVFBSovr5en3/%2Budt8dHS0zpw5o%2BLiYhUXF6uurk4xMTFu%2By4sLFRDQ8Mljw0AANAYdk8d%2BL777rvguNPpVFhYmNtY27ZtVVJScsn5qqoq1dTUuM3b7Xa1bt1aJSUl8vHxUUhIiPz8/Fzz7dq1U01NjSorKy957MYqKyuT0%2Bl0G7PbA8/b99Xi6%2Bvj9qeVWDmbZO18ZIMV2O3e8xpb/X3Z0vN5rGBdTHV1tVsBkiQ/Pz/V1tZecv706dOu%2BxeaNwzjgnPS2YvtL3XsxsrJyVF2drbbWHJyslJTUy9rP1cqONjRrMdrTlbOJlk7H9ngzUJCWnl6CZfN6u/LlpqvxRUsf39/VVZWuo3V1tYqICDANf/TwlNbW6vg4GD5%2B/u77v903uFwqL6%2B/oJzkhQQEHDJYzfW6NGjlZiY6DZmtweqouLHy9pPU/n6%2Big42KGqqmrV1zc0yzGbi5WzSdbORzZYQXP9O24Gq78vG5vPU6W4xRWs8PBwHTx40G2svLzc9fFaeHi4ysvLz5vv2bOnWrduLX9/f5WXl6tr166SpLq6OlVWVio0NFSGYaiiokJ1dXWy289GdzqdCggIUHBw8CWP3VhhYWHnbeN0nlBdXfO%2BwevrG5r9mM3Fytkka%2BcjG7yZN76%2BVn9fttR8Le6Dy6ioKP397393fdwnSfn5%2BYqKinLN5%2Bfnu%2Baqq6u1f/9%2BRUVFycfHR7169XKbLygokN1uV48ePdSzZ0/Z7Xa3i9bz8/PVq1cv%2Bfj4XPLYAAAAjdHiClZ8fLzat2%2BvtLQ0HThwQMuXL1dRUZHuueceSVJSUpL27t2r5cuX68CBA0pLS1PHjh110003STp78fzKlSu1bds2FRUVaebMmRo1apQcDoccDoeGDx%2BumTNnqqioSNu2bdOqVas0ZsyYRh0bAACgMVpcwfL19dWLL74op9OpESNG6N1339XSpUsVEREhSerYsaP%2B8Ic/aOPGjbrnnntUWVmppUuXymazSZLuuOMOTZw4UdOnT9e4cePUu3dvTZkyxbX/tLQ0RUZGauzYsZo1a5YmTZqk2267rVHHBgAAaAybce4r0HFVOZ0nmu1YdruPQkJaqaLixxb5ufSVsHI2ydr5yNZ8hi76yNNLsKz3n%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%2B%2B6yKioqaPT8AAPBeLbZgHTp0SN26dVNoaKjrFhwcrPfee0/%2B/v6aOnWqunbtqvT0dLVq1Upbt26VJK1fv15Dhw7V8OHD1aNHD2VmZmrHjh06cuSIJGndunVKTU1VXFyc%2Bvbtq8mTJ2vDhg2SpMOHD2v79u2aO3euunXrppEjR%2Bquu%2B7Sa6%2B95rHnAQAAeJ8WXbA6d%2B583nhhYaFiY2Nls9kkSTabTX369FFBQYFrPi4uzvX49u3bKyIiQoWFhSotLdXx48d14403uuZjY2N19OhRlZWVqbCwUO3bt1fHjh3d5j/77LOrlBIAAFhRiyxYhmHoq6%2B%2B0s6dOzV48GANGjRICxYsUG1trZxOp8LCwtwe37ZtW5WUlEiSysrKLjrvdDolyW2%2BXbt2kuSav9C2paWlpmcEAADWZff0Ai7k2LFjqq6ulp%2BfnxYtWqRvv/1Wc%2BfO1enTp13j/87Pz0%2B1tbWSpNOnT190/vTp0677/z4nSbW1tZfcd2OVlZW5ytw5dnvgeeXtavH19XH700qsnE2ydj6ywQrsdu95ja3%2Bvmzp%2BVpkwerQoYN2796ta665RjabTT179lRDQ4OmTJmi%2BPj48wpPbW2tAgICJEn%2B/v4XnHc4HG5lyt/f3/V3SXI4HBfd9ty%2BGysnJ0fZ2dluY8nJya6fgmwuwcGOZj1ec7JyNsna%2BcgGbxYS0srTS7hsVn9fttR8LbJgSVLr1q3d7nft2lU1NTUKDQ1VeXm521x5ebnr7FB4ePgF50NDQxUeHi5Jcjqdruuszp1pOjd/sW0vx%2BjRo5WYmOg2ZrcHqqLix8vaT1P5%2BvooONihqqpq1dc3XHoDL2LlbJK185ENVtBc/46bwervy8bm81QpbpEF669//asmT56sv/zlL3I4zjbTf/zjH2rdurViY2P1yiuvyDAM2Ww2GYahvXv36tFHH5UkRUVFKT8/XyNGjJAkHT9%2BXMePH1dUVJTCw8MVERGh/Px8V8HKz89XRESEwsLCFB0draNHj6qkpES/%2Bc1vXPPR0dGXtf6wsLDzPg50Ok%2Borq553%2BD19Q3NfszmYuVskrXzkQ3ezBtfX6u/L1tqvhb5wWVMTIz8/f317LPP6ssvv9SOHTuUmZmpRx55REOGDFFVVZXmzZungwcPat68eaqurtbQoUMlSffee682b96s3NxcFRcXa%2BrUqRo4cKA6derkml%2BwYIF2796t3bt3a%2BHChRozZowkqVOnTurfv7%2BmTJmi4uJi5ebmKi8vT/fff7/HngsAAOB9WuQZrKCgIK1cuVLz589XUlKSWrVqpf/5n//RI488IpvNppdfflkzZszQm2%2B%2Bqe7du2v58uUKDAyUdLaczZ49W0uWLNEPP/ygfv36ac6cOa59jx8/Xt99951SUlLk6%2Bure%2B65Rw899JBrPjMzU%2Bnp6Ro1apRCQ0M1f/589e7du7mfAgAA4MVshmEYnl7EL4HTeaLZjmW3%2BygkpJUqKn5skadNr4SVs0nWzke25jN00UeeXoJlvf9EP08vodFa2vvSbI3NFxr662Zc1b%2B0yI8IAQAAvBkFCwAAwGQULAAAAJNRsAAAAExGwQIAADAZBQsAAMBkFCwAAACTUbAAAABMRsECAAAwGQULAADAZBQsAAAAk1GwAAAATEbBAgAAMBkFCwAAwGQULAAAAJNRsAAAAExGwQIAADCZ3dMLwJUZuugjTy%2Bh0d5/op%2BnlwAAQLPgDBYAAIDJKFgAAAAmo2ABAACYjIIFAABgMgoWAACAyShYAAAAJqNgAQAAmIzvwQIAwKLi0rd6egmNZrXvSuQMFgAAgMkoWAAAACajYAEAAJiMggUAAGAyChYAAIDJKFgAAAAmo2BdQE1NjaZNm6a4uDj1799fq1at8vSSAACAF%2BF7sC4gMzNT%2B/bt09q1a3Xs2DE9/fTTioiI0JAhQzy9NAAeMHTRR55eAgAvQ8H6iVOnTik3N1evvPKKIiMjFRkZqQMHDmjDhg0ULAAA0CgUrJ8oLi5WXV2dYmJiXGOxsbF66aWX1NDQIB8fPlVtKm87C2C1bxUGADQfCtZPOJ1OhYSEyM/PzzXWrl071dTUqLKyUm3atLnkPsrKyuR0Ot3G7PZAhYWFmb5eXD3eVggBXH12u/f8R7avr/esVbr85/Zcvpaak4L1E9XV1W7lSpLrfm1tbaP2kZOTo%2BzsbLexlJQUTZo0yZxF/pu/zTv/Y8uysjLl5ORo9OjRlit1Vs4mWTsf2byXlfNZPdvY3xywZDbpbL61a1e02Hwts/Z5kL%2B//3lF6tz9gICARu1j9OjR2rRpk9tt9OjRpq/1YpxOp7Kzs887i2YFVs4mWTsf2byXlfORzXu19HycwfqJ8PBwVVRUqK6uTnb72afH6XQqICBAwcHBjdpHWFhYi2zTAACgeXAG6yd69uwpu92ugoIC11h%2Bfr569erFBe4AAKBRaAw/4XA4NHz4cM2cOVNFRUXatm2bVq1apTFjxnh6aQAAwEv4zpw5c6anF9HS9O3bV/v379fChQv1ySef6NFHH1VSUpKnl3VZWrVqpfj4eLVq1crTSzGdlbNJ1s5HNu9l5Xxk814tOZ/NMAzD04sAAACwEj4iBAAAMBkFCwAAwGQULAAAAJNRsAAAAExGwQIAADAZBQsAAMBkFCwAAACTUbAAAABMRsGymJqaGk2bNk1xcXHq37%2B/Vq1a5eklXbHa2lrdeeed2r17t2vsyJEjeuihhxQdHa3bb79dO3fu9OAKL19paalSU1MVHx%2BvAQMGKCMjQzU1NZK8P5skffPNNxo/frxiYmI0cOBArVixwjVnhXznTJgwQc8884zr/v79%2BzVy5EhFRUUpKSlJ%2B/bt8%2BDqmubPf/6zunfv7nZLTU2V5P35amtrNWvWLN144436z//8Tz3//PM6913b3pxt06ZN571m3bt3V48ePSR5d7Zzjh8/rokTJ6pPnz5KTEzUmjVrXHMtNR8Fy2IyMzO1b98%2BrV27VjNmzFB2dra2bt3q6WU1WU1NjZ588kkdOHDANWYYhpKTk9WuXTtt3LhRw4YNU0pKio4dO%2BbBlTaeYRhKTU1VdXW1NmzYoBdeeEHbt2/XokWLvD6bJDU0NGjChAkKCQnR22%2B/rVmzZmnZsmXasmWLJfKd88c//lE7duxw3T916pQmTJiguLg4bdq0STExMZo4caJOnTrlwVVevoMHDyohIUE7d%2B503ebOnWuJfHPnztXHH3%2BslStXauHChXrzzTeVk5Pj9dnO/YfKudtf/vIXXXvttRozZozXZzvniSeeUGBgoDZt2qRp06Zp0aJF%2BvOf/9yy8xmwjB9//NHo1auXsWvXLtfY0qVLjQceeMCDq2q6AwcOGHfddZfx3//930a3bt1cuT7%2B%2BGMjOjra%2BPHHH12PHTt2rLFkyRJPLfWyHDx40OjWrZvhdDpdY1u2bDH69%2B/v9dkMwzBKS0uN//u//zNOnDjhGktOTjZmzJhhiXyGYRgVFRXGLbfcYiQlJRlPP/20YRiGkZubayQmJhoNDQ2GYRhGQ0ODceuttxobN2705FIv21NPPWUsXLjwvHFvz1dRUWFcf/31xu7du11jL7/8svHMM894fbafeumll4xBgwYZNTU1lshWWVlpdOvWzfjiiy9cYykpKcasWbNadD7OYFlIcXGx6urqFBMT4xqLjY1VYWGhGhoaPLiypvn000910003KScnx228sLBQ119/vQIDA11jsbGxKigoaO4lNkloaKhWrFihdu3auY2fPHnS67NJUlhYmBYtWqSgoCAZhqH8/Hzt2bNH8fHxlsgnSb///e81bNgwXXfdda6xwsJCxcbGymazSZJsNpv69OnjddkOHTqkzp07nzfu7fny8/MVFBSk%2BPh419iECROUkZHh9dn%2BXWVlpV555RU99dRT8vPzs0S2gIAAORwObdq0SWfOnNGXX36pvXv3qmfPni06HwXLQpxOp0JCQuTn5%2Bcaa9eunWpqalRZWenBlTXNfffdp2nTpsnhcLiNO51OhYWFuY21bdtWJSUlzbm8JgsODtaAAQNc9xsaGrR%2B/Xr17dvX67P9VGJiou677z7FxMRo8ODBlsj3ySef6G9/%2B5sef/xxt3ErZDMMQ1999ZV27typwYMHa9CgQVqwYIFqa2u9Pt%2BRI0fUoUMHvfPOOxoyZIj%2B67/%2BS0uXLlVDQ4PXZ/t3r7/%2BusLCwjRkyBBJ1nhf%2Bvv7a/r06crJyVFUVJSGDh2qW265RSNHjmzR%2BeyeXgDMU11d7VauJLnu19bWemJJV8XFcnprxqysLO3fv19vvfWW1qxZY6lsS5YsUXl5uWbOnKmMjAyvf%2B1qamo0Y8YMTZ8%2BXQEBAW5z3p5Nko4dO%2BbKsWjRIn377beaO3euTp8%2B7fX5Tp06pW%2B%2B%2BUZvvPGGMjIy5HQ6NX36dDkcDq/Pdo5hGMrNzdUjjzziGrNKtkOHDikhIUEPP/ywDhw4oDlz5ujmm29u0fkoWBbi7%2B9/3pvq3P2f/p%2BBN/P39z/vjFxtba1XZszKytLatWv1wgsvqFu3bpbKJkm9evWSdLaYTJ48WUlJSaqurnZ7jDfly87O1g033OB2BvKci/3vz1uySVKHDh20e/duXXPNNbLZbOrZs6caGho0ZcoUxcfHe3U%2Bu92ukydPauHCherQoYOks4Xy9ddf17XXXuvV2c75/PPPVVpaqjvuuMM1ZoX35SeffKK33npLO3bsUEBAgHr16qXS0lItW7ZMnTp1arH5%2BIjQQsLDw1VRUaG6ujrXmNPpVEBAgIKDgz24MnOFh4ervLzcbay8vPy808Qt3Zw5c7R69WplZWVp8ODBkqyRrby8XNu2bXMbu%2B6663TmzBmFhoZ6db4//vGP2rZtm2JiYhQTE6MtW7Zoy5YtiomJscRrJ0mtW7d2Xc8iSV27dlVNTY3Xv3ahoaHy9/d3lStJ%2Bo//%2BA8dP37cMq/dX//6V8XFxemaa65xjVkh2759%2B3Tttde6labrr79ex44da9H5KFgW0rNnT9ntdreL%2B/Lz89WrVy/5/P927h%2BkcTAMA/hzByLSRRwEqVBwcNGSmIAidZDgoLh06CKidFAQdFWpdHDpouCi%2BKeDHVwcA64iVHFUMVgUU1MFB8Wtg3%2Bm9wbPcOVu8I4cMeH5wbd80/vwDXma0O97eI5aURSUSiW8vr66eycnJ1AUxcep/s7a2hp2d3exsrJS82szDNnu7%2B8xMzODx8dHd%2B/i4gJNTU3QdT3Q%2BXZ2drC3twfTNGGaJgzDgGEYME0TiqLg7OzMvVdJRHB6ehqYbMD7A7qnp6fmLePl5SUaGxuh68HVk74AAAI7SURBVHqg8ymKgre3N1QqFXfPcRxEo9FQnB0AWJYFTdNq9sKQrbm5GXd3dzVvqhzHQWtr65fOF56nLqGhoQHJZBKLi4uwLAv7%2B/vY3t7G%2BPi436N5qru7Gy0tLchkMrBtG/l8HpZlIZVK%2BT3ap9zc3GB9fR2Tk5PQdR1PT0/uCno24P2zYEdHBxYWFlAul1EsFrG8vIypqanA54tGo4jFYu6KRCKIRCKIxWIYHBxEtVpFLpdDuVxGLpfDy8sLhoaG/B7707q6ulBfX49sNgvHcVAsFrG0tISJiYnA52tra0N/fz8ymQyurq5wdHSEfD6PkZGRwGf7YNt2zT9bAYQim2EYqKurQzabRaVSwcHBATY3NzE2Nva18/lyOQT9N8/PzzI3NyeqqkpfX58UCgW/R/LEr/dgiYjc3t7K6OiodHZ2yvDwsBwfH/s43d/Z2tqS9vb2Py6RYGf78PDwINPT06JpmiQSCdnY2HDvqQlDvg/z8/PuPVgiIufn55JMJiUej0sqlZJSqeTjdP/m%2Bvpa0um0qKoqiURCVldX3bMLer5qtSqzs7Oiqqr09vaGKpuISDwel8PDw9/2w5DNtm1Jp9OiaZoMDAxIoVD48mf3TeTnezUiIiIi8gQ/ERIRERF5jAWLiIiIyGMsWEREREQeY8EiIiIi8hgLFhEREZHHWLCIiIiIPMaCRUREROQxFiwiIiIij7FgEREREXmMBYuIiIjIYyxYRERERB5jwSIiIiLyGAsWERERkcd%2BAKIcaNiEw0UvAAAAAElFTkSuQmCC"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common-3637478328953171233">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">55.1883</td>
<td class="number">158</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">55.7796</td>
<td class="number">158</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.6604</td>
<td class="number">32</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.6589</td>
<td class="number">31</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.6599</td>
<td class="number">25</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.7174</td>
<td class="number">25</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.6699</td>
<td class="number">25</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.6692</td>
<td class="number">25</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.6642</td>
<td class="number">24</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.6602</td>
<td class="number">22</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (318701)</td>
<td class="number">568468</td>
<td class="number">99.7%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">1307</td>
<td class="number">0.2%</td>
<td>
<div class="bar" style="width:1%">&nbsp;</div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme-3637478328953171233">
<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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">-1.073746</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-1.073635</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-1.073524</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-1.073413</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">-1.073303</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</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">&nbsp;</td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">77.72832</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.72836</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.72841</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.72844</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr><tr class="">
<td class="fillremaining">77.72849</td>
<td class="number">1</td>
<td class="number">0.0%</td>
<td>
<div class="bar" style="width:100%">&nbsp;</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4">timestamp<br/>
<small>Date</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>570180</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>100.0%</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>Minimum</th>
<td>2015-04-01 00:00:00</td>
</tr>
<tr>
<th>Maximum</th>
<td>2016-04-30 23:59:00</td>
</tr>
</table>
</div>
</div>
</div>
<div class="col-md-3 collapse in" id="minihistogram1448257514050185626">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABpxJREFUeJzt22tI03scx/HP30booB5IuhUVChVCWEER2gWNMCpL6WJakURkFBSEaCZrhCNNhlJRkdCDDSGhi4ZPMoLIJ1m6roxulthKtLlScEoxdd/zIM44ntnv3OaWnc/rmfrf7///9eXtf/5TTUQERDSuqEhfANHPTBfpC/izZabbkb4EiqBH5esjfQlj8A5CpMBAiBQYCJECAyFSYCBECgyESIGBECkwECIFBkKkwECIFBgIkQIDIVJgIEQKDIRIgYEQKTAQIgUGQqTAQIgUGAiRAgMhUmAgRAoMhEiBgRApMBAiBQZCpMBAiBQYCJECAyFSYCBECgyESIGBECkwECIFBkKkwECIFBgIkQIDIVJgIEQKDIRIgYEQKTAQIgUGQqTAQIgUGAiRAgMhUmAgRAoMhEhBExGJ9EX8U729vbh69Spyc3MRHx8f6cuhEPkZ5zop7yAejwcXLlyAx%2BOJ9KVQCP2Mc52UgRCFCwMhUmAgRAqTMpC4uDgcPnwYcXFxkb4UCqGfca6T8ikWUbhMyjsIUbgwECIFBkKkwECIFBgIkQIDIVJgIEQKunCezGazob6%2BHgCQnJyMsrIyvH//HidOnMDAwAAWLFiAyspK6PX6wGvq6%2BvhcDhQWVkJAPj69StWrFiBuXPnBo5paGjAlClTxpxreHgYJ0%2BexLNnz6BpGioqKrB48WIAQG5uLoaGhgKvsVgsga/RPxOKmfp8PlitVjgcDoyMjKC0tBSrVq0KOtfg4CCKi4vhcrkQExOD6upqJCQkAABWr16N2NjYwLE1NTWYOXPmf9%2BghMnz589l06ZNMjQ0JH6/X4qKisRms0lWVpa0traKiMjZs2elqqpKRES%2BffsmVqtVlixZIiUlJYF1HA6HHDx48C/PZ7PZ5Pjx4yIi8vbtW1m3bp0MDw%2BLz%2BeTlStXyujo6ATs8v8lVDO9ePGiFBYWit/vl/b29h/O59SpU3L%2B/HkREWlpaZHc3FwREenu7pbNmzdPyB7D9hZr%2BvTpMJvN0Ov10DQNSUlJePPmDbxeL5YvXw4AyMnJwa1btwAADx8%2BhIiguLh4zDpOpxNutxs5OTnIy8vDo0ePxj3fvXv3sGXLFgDAvHnzYDAY8PTpU7S3t0On02Hfvn3IyspCXV3dBO761xaqmTY1NaGgoACapmH%2B/Pmw2%2B2QcX7B448zTU1NhcfjQXd3N5xOJ0ZGRrBr1y5s3boVd%2B7cCdkewxZIQkJC4B/ty5cvuHLlChITE2EwGALHxMfHw%2B12AwDS0tJw7NgxREdHj1lH0zSsX78e165dg9lsxtGjR9Hf3x90PrfbHbT2p0%2Bf4PV6kZqaipqaGtjtdtTV1eHBgwcTseVfXqhm6nK58PjxY2zbtg07duzA58%2Bfg94yAz%2Be6fDwMNLS0lBbW4tz586hvLwcHR0dIdlj2H9I7%2BrqQn5%2BPnJycrBs2bKgr2uapnz93r17ceDAAWiahoULFyI5ORlPnjwJOm6870BRUVFISUnB6dOnER0djdjYWGzfvh3Nzc3/ej/032c6OjqKrq4u3LhxAxaLBUVFRfB6vUHH/WimmZmZKCkpgU6nw5w5c5CRkYH79%2B//%2Bw39cf2QrPI3vXr1Cjt37kReXh4OHToEo9E45q/HPB4PjEajco3r16%2Bjp6cn8LGIQKfTwWQyITs7G9nZ2XA6nTAYDEFrGwwGtLS0jHlb5vf7x/1uRX9PKGY6Y8YMbNiwIfA2zWg0orOzEwUFBYGZ/n73GG/t27dv4/Xr14HPi0jIZhq2QPr6%2BrB//36YzWbs2bMHADBr1izExMSgra0NwPenG2lpacp1nE4namtrAQDv3r3Dy5cvsXTpUpSXl6OxsRGNjY1ITk5Genp64OlKR0cHPnz4gEWLFqGvrw9VVVXw%2BXwYHBzEzZs3kZGRMYE7/3WFaqZr1qxBU1MTgO93o56eHiQmJuLy5cuBmRoMhjEzbW1thV6vh9FohMvlwqVLlyAi6O3txd27d5Genh6SPYbt193PnDkDu90eeCwHAOnp6cjMzITZbIbX68Xs2bNRXV2NadOmBY5paGhAW1tb4JFgf38/SktL8fHjR0RFRcFkMiElJSXofD6fD2VlZYHHvCaTCampqRARWK1WNDc3w%2B/3Y/fu3cjPz5/w/f%2BKQjXTwcFBWCwWvHjxAgBQWFiItWvXBp1vYGAAJpMJnZ2dmDp1KioqKpCUlASfzwez2Qyn0wkRwZEjR7Bx48aQ7JF/D0KkwP9JJ1JgIEQKDIRI4TeNzU4mRXIMjQAAAABJRU5ErkJggg%3D%3D">
</div>
<div class="col-md-12 text-right">
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<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzt3XtUVXX%2B//EXcgY86pCKwIi6dLLxEtoBQXRSGzU1TScdr13VybILynyt1BBH8V54HUObqDQtp8i0HKmvfcf5lTNmmWKAjsOE1iRekENBeEEQ2L8/XG47oYn1QQ/4fKzFWp3PZ5/33p/36nRe7b3Z%2BFiWZQkAAADG1LnWBwAAAFDbELAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhnltwCotLdWsWbPUuXNn3XrrrVqyZIksy5Ik7d%2B/XyNGjJDL5dKwYcO0b98%2Bj/empqaqT58%2BcrlciomJ0TfffGPPWZalRYsWqWvXroqOjlZiYqIqKirs%2BYKCAk2cOFERERHq3bu3Nm3adHUWDAAAag2vDVhz587Vjh079PLLL2vx4sV68803lZKSotOnT2v8%2BPGKiorSxo0bFRERoUceeUSnT5%2BWJGVmZio%2BPl4TJkxQSkqKioqKFBcXZ9ddvXq1UlNTlZSUpOXLl2vz5s1avXq1PR8XF6cTJ04oJSVFjz32mKZPn67MzMyrvn4AAFBz%2BVjnTwt5kcLCQnXr1k2rV69WdHS0JCk5OVlffvmlIiMj9fzzz2vr1q3y8fGRZVm644479Oijj2ro0KGaMmWK6tSpo2eeeUaSdOzYMfXq1Ut/%2B9vf1KJFC/Xs2VOxsbEaOnSoJGnTpk3605/%2BpP/3//6fDh06pL59%2B%2Brvf/%2B7mjdvLkmKj49XeXm5XQ8AAOByvPIMVlpamho0aGCHK0kaP368FixYoIyMDEVGRsrHx0eS5OPjo06dOik9PV2SlJGRoaioKPt9TZs2VWhoqDIyMnT8%2BHEdO3ZMnTt3tucjIyN15MgR5eXlKSMjQ02bNrXD1fn5zz77rLqXDAAAahGvDFg5OTlq1qyZ3nnnHfXv31%2B33367VqxYoYqKCrndbgUHB3tsHxgYqNzcXElSXl7eJefdbrckecw3adJEkuz5i733%2BPHjxtcIAABqL8e1PoCLOX36tL766iu98cYbWrBggdxut2bMmCGn06ni4mL5%2Bfl5bO/n56fS0lJJ0pkzZy45f%2BbMGfv1d%2BekczfVX652VeXl5dlh7rygoKBK4Q0AANROXhmwHA6HTp48qcWLF6tZs2aSpKNHj%2Br1119Xy5YtKwWe0tJS1a1bV5Lk7%2B9/0Xmn0%2BkRpvz9/e1/liSn03nJ956vXVUpKSlKSkryGIuJiVFsbOwV1QEAADWTVwasoKAg%2Bfv72%2BFKkn75y1/q2LFjio6OVn5%2Bvsf2%2Bfn59tmhkJCQi84HBQUpJCREkuR2u%2B37rM6faTo/f6n3XolRo0apd%2B/eHmMORz0VFJy6ojo1ga9vHQUEOFVUVKzy8orLv6EWoxee6Icn%2BnEBvTiHPlxQnb1o1Ki%2B0XpV5ZUBy%2BVyqaSkRF9%2B%2BaV%2B%2BctfSpK%2B%2BOILNWvWTC6XSy%2B%2B%2BKIsy7J/i3DPnj169NFH7fempaXZvyV47NgxHTt2TC6XSyEhIQoNDVVaWpodsNLS0hQaGqrg4GCFh4fryJEjys3N1S9%2B8Qt7Pjw8/IqOPzg4uNLlQLf7hMrKau8HqLy8olav70rQC0/0wxP9uIBenEMfLqhNvfDKm9xvvPFG9ezZU3FxccrKytI///lPJScn65577lH//v1VVFSkefPm6cCBA5o3b56Ki4s1YMAASdI999yjTZs2af369crKytKUKVPUs2dPtWjRwp5ftGiRdu7cqZ07d2rx4sUaPXq0JKlFixbq3r27Jk%2BerKysLK1fv16pqam67777rlkvAABAzeOVz8GSpBMnTmjOnDn629/%2BJqfTqXvvvVcxMTHy8fFRZmamZs6cqYMHD6pt27aaNWuWbr75Zvu9Gzdu1PLly/Xtt9%2BqW7dumjNnjho1aiRJKi8vV2JiojZu3ChfX18NHz5cTz75pP3Yh6%2B//lrx8fHasWOHgoKCNGnSJA0aNOgnr8ftPvGTa3gjh6OOGjWqr4KCU7Xm/zp%2BLHrhiX54oh8X0Itz6MMF1dmLoKCfG61XVV4bsGobAlbtRy880Q9P9OMCenEOfbigNgYsr7xECAAAUJMRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGeeUfe0bVDVj20bU%2BhCr73//pdq0PAQCuKzXpO2L3vP7X%2BhCMImDhqqlJH3QAAH4KLhECAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhnltwPrb3/6mtm3bevzExsZKkvbv368RI0bI5XJp2LBh2rdvn8d7U1NT1adPH7lcLsXExOibb76x5yzL0qJFi9S1a1dFR0crMTFRFRUV9nxBQYEmTpyoiIgI9e7dW5s2bbo6CwYAALWG1wasAwcOqFevXtq%2Bfbv9M3fuXJ0%2BfVrjx49XVFSUNm7cqIiICD3yyCM6ffq0JCkzM1Px8fGaMGGCUlJSVFRUpLi4OLvu6tWrlZqaqqSkJC1fvlybN2/W6tWr7fm4uDidOHFCKSkpeuyxxzR9%2BnRlZmZe9fUDAICay2sD1sGDB9WmTRsFBQXZPwEBAXrvvffk7%2B%2BvKVOmqHXr1oqPj1f9%2BvW1ZcsWSdJrr72mAQMGaMiQIWrXrp0SExO1bds25eTkSJLWrl2r2NhYRUVFqWvXrnrqqae0bt06SdKhQ4f0wQcfaO7cuWrTpo1GjBihu%2B66S3/5y1%2BuWR8AAEDN49UBq1WrVpXGMzIyFBkZKR8fH0mSj4%2BPOnXqpPT0dHs%2BKirK3r5p06YKDQ1VRkaGjh8/rmPHjqlz5872fGRkpI4cOaK8vDxlZGSoadOmat68ucf8Z599Vk2rBAAAtZHjWh/AxViWpS%2B//FLbt2/XCy%2B8oPLycvXv31%2BxsbFyu9266aabPLYPDAxUdna2JCkvL0/BwcGV5nNzc%2BV2uyXJY75JkyaSZM9f7L3Hjx%2B/ouPPy8uz93Wew1GvUm0AAHCBr6/Xnve5Yl4ZsI4ePari4mL5%2Bflp2bJlOnz4sObOnaszZ87Y49/l5%2Ben0tJSSdKZM2cuOX/mzBn79XfnJKm0tPSytasqJSVFSUlJHmMxMTH2TfoAAKCygADntT4EY7wyYDVr1kw7d%2B7UDTfcIB8fH7Vv314VFRWaPHmyoqOjKwWe0tJS1a1bV5Lk7%2B9/0Xmn0%2BkRpvz9/e1/liSn03nJ956vXVWjRo1S7969PcYcjnoqKDh1RXUAALieFBUVq7y84vIbXoFGjeobrVdVXhmwJKlhw4Yer1u3bq2SkhIFBQUpPz/fYy4/P9%2B%2B/BYSEnLR%2BaCgIIWEhEiS3G63fZ/V%2BUt55%2Bcv9d4rERwcXOlyoNt9QmVlZv%2BlAQCgNikvr6g135VeebHzn//8p7p06aLi4mJ77N///rcaNmxo33RuWZakc/dr7dmzRy6XS5LkcrmUlpZmv%2B/YsWM6duyYXC6XQkJCFBoa6jGflpam0NBQBQcHKzw8XEeOHFFubq7HfHh4eHUvGQAA1CJeGbAiIiLk7%2B%2Bv6dOn64svvtC2bduUmJiohx56SP3791dRUZHmzZunAwcOaN68eSouLtaAAQMkSffcc482bdqk9evXKysrS1OmTFHPnj3VokULe37RokXauXOndu7cqcWLF2v06NGSpBYtWqh79%2B6aPHmysrKytH79eqWmpuq%2B%2B%2B67Zr0AAAA1j491/lSQl8nOztb8%2BfOVnp6u%2BvXr6%2B6771ZMTIx8fHyUmZmpmTNn6uDBg2rbtq1mzZqlm2%2B%2B2X7vxo0btXz5cn377bfq1q2b5syZo0aNGkmSysvLlZiYqI0bN8rX11fDhw/Xk08%2BaT/24euvv1Z8fLx27NihoKAgTZo0SYMGDfrJ63G7T/zkGhczYNlH1VIXAICrafe8/iooOGX8EmFQ0M%2BN1qsqrw1YtQ0BCwCAS6ttAcsrLxECAADUZAQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhNSJgjR8/Xk8//bT9ev/%2B/RoxYoRcLpeGDRumffv2eWyfmpqqPn36yOVyKSYmRt988409Z1mWFi1apK5duyo6OlqJiYmqqKiw5wsKCjRx4kRFRESod%2B/e2rRpU/UvEAAA1CpeH7Deffddbdu2zX59%2BvRpjR8/XlFRUdq4caMiIiL0yCOP6PTp05KkzMxMxcfHa8KECUpJSVFRUZHi4uLs969evVqpqalKSkrS8uXLtXnzZq1evdqej4uL04kTJ5SSkqLHHntM06dPV2Zm5tVbMAAAqPG8OmAVFhYqMTFRHTt2tMfee%2B89%2Bfv7a8qUKWrdurXi4%2BNVv359bdmyRZL02muvacCAARoyZIjatWunxMREbdu2TTk5OZKktWvXKjY2VlFRUerataueeuoprVu3TpJ06NAhffDBB5o7d67atGmjESNG6K677tJf/vKXq794AABQY3l1wHr22Wc1ePBg3XTTTfZYRkaGIiMj5ePjI0ny8fFRp06dlJ6ebs9HRUXZ2zdt2lShoaHKyMjQ8ePHdezYMXXu3Nmej4yM1JEjR5SXl6eMjAw1bdpUzZs395j/7LPPqnupAACgFnFc6wO4lI8//li7d%2B/W5s2blZCQYI%2B73W6PwCVJgYGBys7OliTl5eUpODi40nxubq7cbrckecw3adJEkuz5i733%2BPHjV3TseXl59r7OczjqVaoNAAAu8PX16vM%2BV8QrA1ZJSYlmzpypGTNmqG7duh5zxcXF8vPz8xjz8/NTaWmpJOnMmTOXnD9z5oz9%2BrtzklRaWnrZ2lWVkpKipKQkj7GYmBjFxsZeUR0AAK4nAQHOa30IxnhlwEpKSlKHDh3Uo0ePSnP%2B/v6VAk9paakdxC4173Q6PcKUv7%2B//c%2BS5HQ6L1u7qkaNGqXevXt7jDkc9VRQcOqK6gAAcD0pKipWeXnF5Te8Ao0a1Tdar6q8MmC9%2B%2B67ys/PV0REhKQLIej999/XoEGDlJ%2Bf77F9fn6%2BffktJCTkovNBQUEKCQmRdO4y4/n7rM5fyjs/f6n3Xong4OBKlwPd7hMqKzP7Lw0AALVJeXlFrfmu9MqLna%2B%2B%2Bqo2b96sd955R%2B%2B884569%2B6t3r1765133pHL5dJnn30my7IknXuu1Z49e%2BRyuSRJLpdLaWlpdq1jx47p2LFjcrlcCgkJUWhoqMd8WlqaQkNDFRwcrPDwcB05ckS5ubke8%2BHh4Vdp5QAAoDbwyjNYzZo183hdv/6503stW7ZUYGCgFi9erHnz5unuu%2B/WG2%2B8oeLiYg0YMECSdM899%2BiBBx5QeHi4OnbsqHnz5qlnz55q0aKFPb9o0SL94he/kCQtXrxYDz74oCSpRYsW6t69uyZPnqz4%2BHjt3btXqampeu21167W0gEAQC3glQHrhzRo0EAvvPCCZs6cqTfffFNt27ZVcnKy6tWrJ0mKiIjQ7NmztXz5cn377bfq1q2b5syZY79/3Lhx%2BvrrrzVhwgT5%2Bvpq%2BPDhGjt2rD2fmJio%2BPh4jRw5UkFBQZo/f75uueWWq71MAABQg/lY56%2B1oVq53Seqpe6AZR9VS10AAK6m3fP6q6DglPF7sIKCfm60XlV55T1YAAAANRkBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMMx6wRowYoTfeeEMnTpwwXRoAAKBGMB6wunbtqj//%2Bc/q3r27nnjiCW3fvl2WZZneDQAAgNcyHrCefPJJffDBB1q5cqV8fX01ceJE9ezZU0uXLtWXX35pencAAABex1EdRX18fNStWzd169ZNxcXFevXVV7Vy5UolJyerU6dOGjNmjPr161cduwYAALjmqiVgSVJeXp7%2B%2Bte/6q9//as%2B//xzderUSb/73e%2BUm5ur6dOna9euXYqPj6%2Bu3QMAAFwzxgPWpk2btGnTJu3cuVONGzfWkCFDtHz5crVq1crepmnTppo3bx4BCwAA1ErGA1Z8fLx69eqlFStW6LbbblOdOpVv87rxxht1//33m941AACAVzAesP7xj3%2BoUaNGKiwstMNVZmamwsLC5OvrK0nq1KmTOnXqZHrXAAAAXsH4bxGePHlS/fv314svvmiPjR8/XoMHD9axY8dM7w4AAMDrGA9Y8%2BfPV8uWLfX73//eHnvvvffUtGlTLViwwPTuAAAAvI7xgLV79249/fTTCgoKsscaN26sKVOm6JNPPjG9OwAAAK9jPGA5HA4VFRVVGi8uLuaJ7gAA4LpgPGDddtttmjt3rg4dOmSP5eTkaMGCBerRo4fp3QEAAHgd479FOHXqVP3%2B97/XHXfcoYCAAElSUVGRwsLCFBcXZ3p3AAAAXsd4wAoMDNTbb7%2BtHTt2KDs7Ww6HQzfddJN%2B/etfy8fHx/TuAAAAvE61/KkcX19f9ejRg0uCAADgumQ8YLndbi1btkx79uzR2bNnK93Y/ve//930LgEAALyK8YD1xz/%2BUfv27dPAgQP185//3HR5AAAAr2c8YH3yySd66aWXFBUVZbo0AABAjWD8MQ316tVTYGCg6bIAAAA1hvGANXjwYL300ksqLy83XRoAAKBGMH6JsLCwUKmpqfrwww/VokUL%2Bfn5ecyvXbvW9C4BAAC8SrU8pmHQoEHVURYAAKBGMB6wFixYYLokAABAjWL8HixJysvLU1JSkp588kl9/fXX2rJli7744ovq2BUAAIDXMR6wvvrqK/32t7/V22%2B/rffff1%2BnT5/We%2B%2B9p2HDhikjI8P07gAAALyO8YD1zDPPqE%2BfPtq6dat%2B9rOfSZKWLFmi3r17a9GiRaZ3BwAA4HWMB6w9e/bo97//vccfdnY4HHr88ce1f//%2BKtf56quvNG7cOEVERKhnz5566aWX7LmcnByNHTtW4eHhuvPOO7V9%2B3aP9%2B7YsUODBg2Sy%2BXS6NGjlZOT4zH/yiuvqEePHoqIiNC0adNUXFxsz5WUlGjatGmKiopS9%2B7dtWrVqittAQAAuM4ZD1gVFRWqqKioNH7q1Cn5%2BvpWucb48ePVqFEjvf3225o1a5aef/55bd68WZZlKSYmRk2aNNGGDRs0ePBgTZgwQUePHpUkHT16VDExMRo6dKjeeustNW7cWI8//rj9NxHff/99JSUlafbs2VqzZo0yMjK0cOFCe9%2BJiYnat2%2Bf1qxZo5kzZyopKUlbtmwx0BkAAHC9MB6wunfvrhdeeMEjZBUWFmrhwoXq2rVrlWrk5%2Berffv2SkhIUKtWrfSb3/xGv/71r5WWlqZPPvlEOTk5mj17tlq3bq1HHnlE4eHh2rBhgyRp/fr16tChgx588EH96le/0oIFC3TkyBF9%2Bumnks49h2vMmDHq1auXbrnlFs2aNUsbNmxQcXGxTp8%2BrfXr1ys%2BPl5hYWHq27evHnroIa1bt850mwAAQC1mPGA9/fTT2rdvn7p3766SkhI99thj6tWrlw4fPqypU6dWqUZwcLCWLVumBg0ayLIspaWladeuXYqOjlZGRoZuvvlm1atXz94%2BMjJS6enpkqSMjAyPv4PodDoVFham9PR0lZeXa%2B/evR7z4eHhOnv2rLKyspSVlaWysjJFRER41M7IyLjoWTkAAICLMf4crJCQEL3zzjtKTU3Vv//9b1VUVOiee%2B7R4MGD1aBBgyuu17t3bx09elS9evXSHXfcofnz5ys4ONhjm8DAQOXm5kqS3G73JeeLiopUUlLiMe9wONSwYUPl5uaqTp06atSokcfT55s0aaKSkhIVFhaqcePGV3z8AADg%2BlMtT3J3Op0aMWKEkVrLly9Xfn6%2BEhIStGDBAhUXF1f68zt%2Bfn4qLS2VpB%2BcP3PmjP36YvOWZV10TpJdvyry8vLkdrs9xhyOepWCHwAAuMDXt1oez3lNGA9Yo0eP/sH5K/1bhB07dpR07rf7nnrqKQ0bNszjt/6kc%2BGnbt26kiR/f/9KYai0tFQBAQHy9/e3X39/3ul0qry8/KJzkuz6VZGSkqKkpCSPsZiYGMXGxla5BgAA15uAAOe1PgRjjAesZs2aebwuKyvTV199pc8//1xjxoypUo38/Hylp6erT58%2B9thNN92ks2fPKigoqNJT4fPz8%2B2zQyEhIcrPz6803759ezVs2FD%2B/v7Kz89X69at7eMrLCxUUFCQLMtSQUGBysrK5HCca43b7VbdunUVEBBQ5R6MGjVKvXv39hhzOOqpoOBUlWsAAHC9KSoqVnm52XueGzWqb7ReVV21v0W4YsUK%2Bz6pyzl8%2BLAmTJigbdu2KSQkRJK0b98%2BNW7cWJGRkVq1apXOnDljn1VKS0tTZGSkJMnlciktLc2uVVxcrP3792vChAmqU6eOOnbsqLS0NHXp0kWSlJ6eLofDoXbt2kk6d09Wenq6fSN8WlqaOnbsqDp1qn7aMjg4uNLlQLf7hMrKuFEeAIBLKS%2BvqDXflVftYufgwYP1v//7v1XatmPHjgoLC9O0adN04MABbdu2TQsXLtSjjz6q6OhoNW3aVHFxccrOzlZycrIyMzM1fPhwSdKwYcO0Z88eJScnKzs7W3FxcWrevLkdqO699169/PLL2rp1qzIzM5WQkKCRI0fK6XTK6XRqyJAhSkhIUGZmprZu3apVq1Zd9rInAADAd1XLTe4X89lnn1X5QaO%2Bvr5auXKl5syZo1GjRsnpdOqBBx7Q6NGj5ePjo5UrVyo%2BPl5Dhw5Vy5YttWLFCoWGhkqSmjdvrueee07z58/XihUrFBERoRUrVthPlh84cKCOHDmiGTNmqLS0VP369dPkyZPtfcfFxSkhIUFjxoxRgwYNNHHiRPXr1898QwAAQK3lY51/xLkhFzvbc/LkSf3nP//Rvffeq/j4eJO7qzHc7hPVUnfAso%2BqpS4AAFfT7nn9VVBwyvglwqCgnxutV1XGz2CFhoZ6/B1CSfrZz36m%2B%2B%2B/X3fddZfp3QEAAHgd4wHrmWeeMV0SAACgRjEesHbt2lXlbTt37mx69wAAANec8YD1wAMP2JcIv3t71/fHfHx89O9//9v07gEAAK454wHrz3/%2Bs%2BbOnavJkycrOjpafn5%2B2rt3r2bPnq3f/e53uvPOO03vEgAAwKsYfw7WggULNGPGDN1xxx1q1KiR6tevr65du2r27Nl6/fXX1axZM/sHAACgNjIesPLy8i4anho0aKCCggLTuwMAAPA6xgNWeHi4lixZopMnT9pjhYWFWrhwoX7961%2Bb3h0AAIDXMX4P1vTp0zV69GjddtttatWqlSzL0n//%2B18FBQVp7dq1pncHAADgdYwHrNatW%2Bu9995TamqqDh48KEm67777NHDgQDmdTtO7AwAA8DrV8rcIb7jhBo0YMUKHDx9WixYtJJ17mjsAAMD1wPg9WJZladGiRercubMGDRqk3NxcTZ06VfHx8Tp79qzp3QEAAHgd4wHr1Vdf1aZNmzRz5kz5%2BflJkvr06aOtW7cqKSnJ9O4AAAC8jvGAlZKSohkzZmjo0KH209vvvPNOzZ07V5s3bza9OwAAAK9jPGAdPnxY7du3rzTerl07ud1u07sDAADwOsYDVrNmzbR3795K4//4xz/sG94BAABqM%2BO/RThu3DjNmjVLbrdblmXp448/VkpKil599VU9/fTTpncHAADgdYwHrGHDhqmsrEzPP/%2B8zpw5oxkzZqhx48b6n//5H91zzz2mdwcAAOB1jAes1NRU9e/fX6NGjdI333wjy7IUGBhoejcAAABey/g9WLNnz7ZvZm/cuDHhCgAAXHeMB6xWrVrp888/N10WAACgxjB%2BibBdu3Z66qmn9NJLL6lVq1by9/f3mF%2BwYIHpXQIAAHgV4wHryy%2B/VGRkpCTx3CsAAHBdMhKwEhMTNWHCBNWrV0%2BvvvqqiZIAAAA1lpF7sFavXq3i4mKPsfHjxysvL89EeQAAgBrFSMCyLKvS2K5du1RSUmKiPAAAQI1i/LcIAQAArncELAAAAMOMBSwfHx9TpQAAAGo0Y49pmDt3rsczr86ePauFCxeqfv36HtvxHCwAAFDbGQlYnTt3rvTMq4iICBUUFKigoMDELgAAAGoMIwGLZ18BAABcwE3uAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAzz2oB1/PhxxcbGKjo6Wj169NCCBQtUUlIiScrJydHYsWMVHh6uO%2B%2B8U9u3b/d4744dOzRo0CC5XC6NHj1aOTk5HvOvvPKKevTooYjUka4xAAAX8UlEQVSICE2bNk3FxcX2XElJiaZNm6aoqCh1795dq1atqv7FAgCAWsUrA5ZlWYqNjVVxcbHWrVunpUuX6oMPPtCyZctkWZZiYmLUpEkTbdiwQYMHD9aECRN09OhRSdLRo0cVExOjoUOH6q233lLjxo31%2BOOPy7IsSdL777%2BvpKQkzZ49W2vWrFFGRoYWLlxo7zsxMVH79u3TmjVrNHPmTCUlJWnLli3XpA8AAKBmMvLHnk374osvlJ6ero8%2B%2BkhNmjSRJMXGxurZZ5/VbbfdppycHL3xxhuqV6%2BeWrdurY8//lgbNmzQxIkTtX79enXo0EEPPvigJGnBggXq1q2bPv30U3Xp0kVr167VmDFj1KtXL0nSrFmzNG7cOE2ePFmWZWn9%2BvV68cUXFRYWprCwMGVnZ2vdunXq37//NesHAACoWbzyDFZQUJBeeuklO1ydd/LkSWVkZOjmm29WvXr17PHIyEilp6dLkjIyMhQVFWXPOZ1OhYWFKT09XeXl5dq7d6/HfHh4uM6ePausrCxlZWWprKxMERERHrUzMjJUUVFRXcsFAAC1jFeewQoICFCPHj3s1xUVFXrttdfUtWtXud1uBQcHe2wfGBio3NxcSfrB%2BaKiIpWUlHjMOxwONWzYULm5uapTp44aNWokPz8/e75JkyYqKSlRYWGhGjduXKXjz8vLk9vt9hhzOOpVOi4AAHCBr69Xnvf5UbwyYH3fwoULtX//fr311lt65ZVXPAKQJPn5%2Bam0tFSSVFxcfMn5M2fO2K8vNm9Z1kXnJNn1qyIlJUVJSUkeYzExMYqNja1yDQAArjcBAc5rfQjGeH3AWrhwodasWaOlS5eqTZs28vf3V2Fhocc2paWlqlu3riTJ39%2B/UhgqLS1VQECA/P397dffn3c6nSovL7/onCS7flWMGjVKvXv39hhzOOqpoOBUlWsAAHC9KSoqVnm52VtyGjWqb7ReVXl1wJozZ45ef/11LVy4UHfccYckKSQkRAcOHPDYLj8/3778FhISovz8/Erz7du3V8OGDeXv76/8/Hy1bt1aklRWVqbCwkIFBQXJsiwVFBSorKxMDse51rjdbtWtW1cBAQFVPu7g4OBKlwPd7hMqK%2BM%2BLgAALqW8vKLWfFd67cXOpKQkvfHGG1qyZIkGDhxoj7tcLv3rX/%2ByL/dJUlpamlwulz2flpZmzxUXF2v//v1yuVyqU6eOOnbs6DGfnp4uh8Ohdu3aqX379nI4HPYN8%2Bdrd%2BzYUXXqeG2rAACAl/HK1HDw4EGtXLlSDz/8sCIjI%2BV2u%2B2f6OhoNW3aVHFxccrOzlZycrIyMzM1fPhwSdKwYcO0Z88eJScnKzs7W3FxcWrevLm6dOkiSbr33nv18ssva%2BvWrcrMzFRCQoJGjhwpp9Mpp9OpIUOGKCEhQZmZmdq6datWrVql0aNHX8t2AACAGsbHOv8ETi%2BSnJysxYsXX3TuP//5j7766ivFx8crIyNDLVu21LRp03Trrbfa22zbtk3z589Xbm6uIiIiNGfOHLVo0cKj/iuvvKLS0lL169dPM2fOtO/PKi4uVkJCgv7v//5PDRo00Lhx4zR27NifvCa3%2B8RPrnExA5Z9VC11AQC4mnbP66%2BCglPGLxEGBf3caL2q8sqAVRsRsAAAuLTaFrC88hIhAABATUbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAY5vUBq7S0VIMGDdLOnTvtsZycHI0dO1bh4eG68847tX37do/37NixQ4MGDZLL5dLo0aOVk5PjMf/KK6%2BoR48eioiI0LRp01RcXGzPlZSUaNq0aYqKilL37t21atWq6l0gAACodbw6YJWUlOiJJ55Qdna2PWZZlmJiYtSkSRNt2LBBgwcP1oQJE3T06FFJ0tGjRxUTE6OhQ4fqrbfeUuPGjfX444/LsixJ0vvvv6%2BkpCTNnj1ba9asUUZGhhYuXGjXT0xM1L59%2B7RmzRrNnDlTSUlJ2rJly9VdOAAAqNG8NmAdOHBAI0eO1KFDhzzGP/nkE%2BXk5Gj27Nlq3bq1HnnkEYWHh2vDhg2SpPXr16tDhw568MEH9atf/UoLFizQkSNH9Omnn0qS1q5dqzFjxqhXr1665ZZbNGvWLG3YsEHFxcU6ffq01q9fr/j4eIWFhalv37566KGHtG7duqu%2BfgAAUHN5bcD69NNP1aVLF6WkpHiMZ2Rk6Oabb1a9evXsscjISKWnp9vzUVFR9pzT6VRYWJjS09NVXl6uvXv3esyHh4fr7NmzysrKUlZWlsrKyhQREeFROyMjQxUVFdW1VAAAUMs4rvUBXMq999570XG3263g4GCPscDAQOXm5l52vqioSCUlJR7zDodDDRs2VG5ururUqaNGjRrJz8/Pnm/SpIlKSkpUWFioxo0bm1oeAACoxbw2YF1KcXGxRwCSJD8/P5WWll52/syZM/bri81blnXROUl2/arIy8uT2%2B32GHM46lUKfgAA4AJfX6%2B9sHbFalzA8vf3V2FhocdYaWmp6tata89/PwyVlpYqICBA/v7%2B9uvvzzudTpWXl190TpJdvypSUlKUlJTkMRYTE6PY2Ngq1wAA4HoTEOC81odgTI0LWCEhITpw4IDHWH5%2Bvn12KCQkRPn5%2BZXm27dvr4YNG8rf31/5%2Bflq3bq1JKmsrEyFhYUKCgqSZVkqKChQWVmZHI5zrXG73apbt64CAgKqfIyjRo1S7969PcYcjnoqKDh1xesFAOB6UVRUrPJys/c8N2pU32i9qqpxAcvlcik5OVlnzpyxzyqlpaUpMjLSnk9LS7O3Ly4u1v79%2BzVhwgTVqVNHHTt2VFpamrp06SJJSk9Pl8PhULt27SSduycrPT3dvhE%2BLS1NHTt2VJ06VT9tGRwcXOlyoNt9QmVl3CgPAMCllJdX1Jrvyhp3sTM6OlpNmzZVXFycsrOzlZycrMzMTA0fPlySNGzYMO3Zs0fJycnKzs5WXFycmjdvbgeqe%2B%2B9Vy%2B//LK2bt2qzMxMJSQkaOTIkXI6nXI6nRoyZIgSEhKUmZmprVu3atWqVRo9evS1XDIAAKhhatwZLF9fX61cuVLx8fEaOnSoWrZsqRUrVig0NFSS1Lx5cz333HOaP3%2B%2BVqxYoYiICK1YsUI%2BPj6SpIEDB%2BrIkSOaMWOGSktL1a9fP02ePNmuHxcXp4SEBI0ZM0YNGjTQxIkT1a9fv2uyVgAAUDP5WOcfcY5q5XafqJa6A5Z9VC11AQC4mnbP66%2BCglPGLxEGBf3caL2qqnGXCAEAALwdAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDAC1kWUlJRo2rRpioqKUvfu3bVq1aprfUgAAKAGcVzrA/BGiYmJ2rdvn9asWaOjR49q6tSpCg0NVf/%2B/a/1oQEAgBqAgPU9p0%2Bf1vr16/Xiiy8qLCxMYWFhys7O1rp16whYAACgSrhE%2BD1ZWVkqKytTRESEPRYZGamMjAxVVFRcwyMDAAA1BWewvsftdqtRo0by8/Ozx5o0aaKSkhIVFhaqcePGl62Rl5cnt9vtMeZw1FNwcLDx4wUAoLbw9a09530IWN9TXFzsEa4k2a9LS0urVCMlJUVJSUkeYxMmTNDEiRPNHOR37J53bS9b5uXlKSUlRaNGjbruAyS98EQ/PNGPC%2BjFOfThgry8PD333HO1qhe1Jyoa4u/vXylInX9dt27dKtUYNWqUNm7c6PEzatQo48fqDdxut5KSkiqdsbse0QtP9MMT/biAXpxDHy6ojb3gDNb3hISEqKCgQGVlZXI4zrXH7Xarbt26CggIqFKN4ODgWpPAAQDAleMM1ve0b99eDodD6enp9lhaWpo6duyoOnVoFwAAuDwSw/c4nU4NGTJECQkJyszM1NatW7Vq1SqNHj36Wh8aAACoIXwTEhISrvVBeJuuXbtq//79Wrx4sT7%2B%2BGM9%2BuijGjZs2LU%2BLK9Vv359RUdHq379%2Btf6UK45euGJfniiHxfQi3PowwW1rRc%2BlmVZ1/ogAAAAahMuEQIAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2BdB44fP67Y2FhFR0erR48eWrBggUpKSiRJOTk5Gjt2rMLDw3XnnXdq%2B/btF63x17/%2BVQ888IDH2Lfffqu2bdt6/HTp0uUHj2XHjh0aNGiQXC6XRo8erZycnJ9U70rVhF4cPny4Uq3zP7t27TLQhQtqQj8k6ezZs1q4cKG6d%2B%2Burl276tlnn1VZWdlPXH1l3tSPH6r3XXFxcVq5cmUVV1h11dULSVq3bp169uypTp06KTY2VoWFhT94LD/078Z3TZ8%2BXc8999wVrvSH1ZQ%2BnD59WtOnT1eXLl3UuXNn/fGPf9SpU6d%2Bwsorqym9uBrfJVVioVarqKiwRo4caT300EPW559/bu3atcvq27ev9cwzz1gVFRXWb3/7W%2BvJJ5%2B0Dhw4YP35z3%2B2XC6XdeTIEY8aH3/8seVyuaz777/fY3z37t1WdHS0lZeXZ//k5%2Bdf8liOHDlihYeHWy%2B//LL1%2BeefW3/4wx%2BsQYMGWRUVFT%2BqXm3tRVlZmUedvLw864knnrCGDRtmlZaWXnf9sCzLWrRokXXrrbdaH374obVv3z5r8ODB1pw5c4z1wtv6cbl65z3//PNWmzZtrBUrVvz4hV9Edfbi3XfftW655RZry5Yt1n/%2B8x9r%2BPDh1qRJky55LJf7d%2BO85ORkq02bNtby5cuvyz7Ex8dbgwcPtvbu3Wvt27fPuuuuu6zp06dfl72o7u%2BSqiJg1XIHDhyw2rRpY7ndbnts8%2BbNVvfu3a0dO3ZY4eHh1qlTp%2By5MWPGePwH6rnnnrM6dOhgDRo0qNKH4s0337RGjRpV5WNZtmyZR43Tp09bERER1ieffPKj6l2pmtSL70pLS7PCwsKsAwcOVLl%2BVdSUflRUVFgRERHWW2%2B9Zc%2Bnp6dbYWFh1smTJ69ozT/Em/pxuXrffvutFRMTY0VHR1u33Xab8YBVnb0YMmSI9dxzz9mvP/30U2vgwIFWWVnZRY/lcp%2BVEydOWBMnTrQ6d%2B5s/eY3vzEasGpSHxISEqzdu3fb82vWrLEGDBjwI1deWU3qRXV/l1QVlwhruaCgIL300ktq0qSJx/jJkyeVkZGhm2%2B%2BWfXq1bPHIyMjlZ6ebr/%2B6KOP9PLLL6tfv36Vah84cECtWrWq8rFkZGQoKirKfu10OhUWFmbv70rrXama1IvvWrx4sUaOHKnWrVtXuX5V1JR%2BfPPNNzp16pRcLpc937ZtW509e1b79u2r8j4ux5v6cbl6hw4dUnl5ud5%2B%2B22FhoZeUd2qqK5enDx5Uvv371ffvn3tsc6dOys1NVW%2Bvr4XPZbLfVYOHz6skpISbdy4US1atPjxi76ImtSHmTNnKjIyUtK5nqSmpio6OvpHrryymtSL6v4uqSoCVi0XEBCgHj162K8rKir02muvqWvXrnK73QoODvbYPjAwULm5ufbr119//ZIf0oMHDyo3N1fDhw9Xjx49NGnSJOXl5V3yWC63vyutd6VqUi/OS0tLU3p6uh555JEqr7Oqako/brjhBv3sZz/T8ePH7bljx45JkgoKCqq%2B4Mvwpn5crl6HDh30/PPPV0u4kqqvF%2Bfvk/nmm2909913q3v37po6daqKiooueSyX21%2B7du30wgsvqHnz5le%2B0MuoSX04b%2BrUqbr99tuVn5%2BvmJiYqi/2MmpSL6r7u6SqCFjXmYULF2r//v2aNGmSiouL5efn5zHv5%2Ben0tLSKtX64osvdPLkScXFxWnp0qXKy8vTo48%2BqvLy8otuf7n9XWm9n8qbe3Hem2%2B%2Bqb59%2ByokJOQKVvbjeGs/HA6H%2BvbtqyVLlig3N1cnTpzQs88%2BK4fDobNnz/64xVbBteyHtzHVi/M3Xc%2BePVsPP/yw/vSnPyk7O1tTpky55Ht%2Bau9Nqgl9ePjhh5WSkqJmzZrp4YcfVkVFRVWXd0W8uRfe8nlzXNW94ZpauHCh1qxZo6VLl6pNmzby9/ev9JsapaWlqlu3bpXqvfvuu/Lx8bG3X758ubp3766MjAy988472rx5s8e2/v7%2BlT5wpaWlCggIuGy9Tp06/eh1X4y390KSysrK9Pe//12JiYk/dplV5u39mD59uiZNmqTf/OY3qlevnh577DFlZmaqQYMGP2XZl3St%2B1FdZ6Z%2BDJO9cDjOfeWMHz9et99%2BuyRp3rx5GjJkiI4fP64VK1b8qM/K1VBT%2BnDTTTdJkpYuXaoePXpo165dxn%2BDztt7cTW/S34IAes6MWfOHL3%2B%2ButauHCh7rjjDklSSEiIDhw44LFdfn5%2BpVOvl%2BJ0Oj1eBwYGqmHDhjp%2B/Lj%2B8Ic/aNy4cfZccHCwQkJClJ%2BfX2l/7du3v2w9k2pCLyQpPT1dZWVl6tat2xWt70rVhH4EBgZq7dq1KiwslL%2B/vyzL0uLFi9WsWbMrXu/leEM/vIXpXgQFBUmSbrzxRnvsl7/8pSQpNzf3R39Wqpu396G0tFQffPCBunXrZv9PR5MmTdSwYUOjl9El7%2B%2BFdPW%2BSy6HS4TXgaSkJL3xxhtasmSJBg4caI%2B7XC7961//0pkzZ%2ByxtLQ0j5uJL%2BXkyZPq3LmzPvnkE3vs%2BPHjKigo0I033qjAwEC1bNnS/nE4HHK5XEpLS7O3Ly4u1v79%2B%2BVyuS5bz5Sa0IvzMjIyFBYWJn9//5%2B67EuqKf2YPHmytm/froYNG8rpdGrbtm0KDAy0/2/dFG/phzeojl6EhoYqODhYWVlZ9tjBgwfl4%2BOj0NDQH/1ZqU41oQ916tTR008/rQ8//NCeP3r0qAoKCoz%2BckxN6MXV%2Bi6pCgJWLXfw4EGtXLlSDz/8sCIjI%2BV2u%2B2f6OhoNW3aVHFxccrOzlZycrIyMzM1fPjwy9Zt0KCBIiMjtWDBAmVmZupf//qXJk2apB49eqht27YXfc%2BwYcO0Z88eJScnKzs7W3FxcWrevLm6dOnyo%2BrV1l6cl52dbfw3B7%2BrJvWjYcOGWrp0qT7//HPt3LlTc%2BbM0fjx41Wnjrn/hHlTP6616uqFj4%2BPxo4dq%2BXLl%2Bujjz5SVlaWEhIS1KdPH/tMxvdV5bNSXWpKHxwOh0aNGqUlS5Zo9%2B7d2rdvnyZNmqTbb79dv/rVr66rXnjV5%2B1aPycC1euFF16w2rRpc9Efy7Ks//73v9Z9991ndejQwRo4cKD10UcfXbTO8uXLKz27pLCw0Hr66aetLl26WBEREdZTTz1lFRYW/uDxfPjhh1a/fv2sW265xRozZox16NChn1TvStSkXliWZY0bN85atGjRT1jxD6tJ/Th58qQ1efJkKzIy0urRo4f1wgsv/MTVV%2BZt/fihet919913G38OVnX2oqKiwlqxYoV16623WuHh4dYTTzxhFRUV/eDxXO6zct79999v9DlYNakPJSUl1jPPPGN169bNioiIsKZOnWqdOHHiJ3bggprUi%2Br%2BLqkqH8uyrKsb6QAAAGo3LhECAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGH/H9PiKSYldyJvAAAAAElFTkSuQmCC">
</div>
</div>
<div class="row headerrow highlight">
<h1>Sample</h1>
</div>
<div class="row variablerow">
<div class="col-md-12" style="overflow:scroll; width: 100%%; overflow-y: hidden;">
<table border="1" class="dataframe sample">
<thead>
<tr style="text-align: right;">
<th></th>
<th>WQI8100XCL1.CPV</th>
<th>XI84201.PV</th>
<th>XI84202.PV</th>
<th>XI84123.PV</th>
<th>XI84124.PV</th>
<th>XI84125.PV</th>
<th>FX87211.CPV1</th>
<th>FIC87211.PV</th>
<th>FIC87211.SV</th>
<th>FX87211.P01</th>
<th>FI87208.PV</th>
<th>AIC88049.PV</th>
<th>ZI88001.PV</th>
<th>NIC88002.PV</th>
<th>PIC88007.PV</th>
<th>LIC88006.PV</th>
<th>AIC88055.PV</th>
<th>FIC88022.PV</th>
<th>DIC88023.PV</th>
<th>SI88033.PV</th>
<th>SI88034.PV</th>
<th>MQI88024.CPV</th>
<th>target</th>
</tr>
<tr>
<th>timestamp</th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
<th></th>
</tr>
</thead>
<tbody>
<tr>
<th>2015-04-01 00:00:00</th>
<td>741.9462</td>
<td>101.188</td>
<td>82.2091</td>
<td>0.062500</td>
<td>5.72497</td>
<td>26.7562</td>
<td>747.1719</td>
<td>4226.190</td>
<td>4190.60</td>
<td>19.0</td>
<td>27.23322</td>
<td>9.184394</td>
<td>-0.001228</td>
<td>32.23540</td>
<td>12.70030</td>
<td>42.61760</td>
<td>-0.002185</td>
<td>812.1940</td>
<td>55.36230</td>
<td>0.081598</td>
<td>71.89730</td>
<td>697.8384</td>
<td>56.08870</td>
</tr>
<tr>
<th>2015-04-01 00:01:00</th>
<td>746.5532</td>
<td>103.251</td>
<td>81.4628</td>
<td>0.062500</td>
<td>5.72497</td>
<td>26.7562</td>
<td>746.3480</td>
<td>4205.333</td>
<td>4189.08</td>
<td>19.0</td>
<td>27.08965</td>
<td>9.178597</td>
<td>-0.001373</td>
<td>32.21460</td>
<td>12.81880</td>
<td>42.80501</td>
<td>-0.002460</td>
<td>811.2485</td>
<td>55.34830</td>
<td>0.082387</td>
<td>71.59660</td>
<td>697.2875</td>
<td>56.08130</td>
</tr>
<tr>
<th>2015-04-01 00:02:00</th>
<td>731.2003</td>
<td>103.803</td>
<td>81.3842</td>
<td>0.062500</td>
<td>5.72497</td>
<td>26.7562</td>
<td>745.5240</td>
<td>4211.970</td>
<td>4185.91</td>
<td>19.0</td>
<td>27.10077</td>
<td>9.175863</td>
<td>-0.001518</td>
<td>32.21520</td>
<td>12.86702</td>
<td>43.02822</td>
<td>-0.002734</td>
<td>807.9185</td>
<td>55.34222</td>
<td>0.080556</td>
<td>71.71885</td>
<td>694.1823</td>
<td>56.07510</td>
</tr>
<tr>
<th>2015-04-01 00:03:00</th>
<td>736.6832</td>
<td>104.336</td>
<td>81.2412</td>
<td>0.065576</td>
<td>5.61836</td>
<td>26.3297</td>
<td>744.6599</td>
<td>4155.305</td>
<td>4182.59</td>
<td>19.0</td>
<td>27.16330</td>
<td>9.171765</td>
<td>-0.001663</td>
<td>32.28380</td>
<td>12.87484</td>
<td>43.25486</td>
<td>-0.003009</td>
<td>808.6615</td>
<td>55.34530</td>
<td>0.080768</td>
<td>71.66210</td>
<td>694.5441</td>
<td>56.08075</td>
</tr>
<tr>
<th>2015-04-01 00:04:00</th>
<td>732.5973</td>
<td>106.718</td>
<td>80.5021</td>
<td>0.065576</td>
<td>5.60313</td>
<td>25.9048</td>
<td>743.7692</td>
<td>4161.920</td>
<td>4179.06</td>
<td>19.0</td>
<td>27.17565</td>
<td>9.168488</td>
<td>-0.001807</td>
<td>32.30124</td>
<td>12.88090</td>
<td>43.46781</td>
<td>-0.003284</td>
<td>807.0225</td>
<td>55.33858</td>
<td>0.080637</td>
<td>71.71820</td>
<td>693.4581</td>
<td>56.08325</td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
</body>
</html>
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