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theotheo/Imprecity_ru.ipynb

Last active February 1, 2019 09:17
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Imprecity_ru.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"ExecuteTime": {
"end_time": "2019-02-01T08:10:42.609894Z",
"start_time": "2019-02-01T08:10:39.457482Z"
}
},
"outputs": [
{
"data": {
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"<meta charset=\"UTF-8\">\n",
"\n",
"<style>\n",
"\n",
" .variablerow {\n",
" border: 1px solid #e1e1e8;\n",
" border-top: hidden;\n",
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" }\n",
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" .col-md-12 {\n",
" padding-left: 2em;\n",
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" .center-img {\n",
" margin-left: auto !important;\n",
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" display: block;\n",
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" padding: 0 2em 0 0;\n",
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"\n",
" .sample td {\n",
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"\n",
"\n",
" /* There is no good solution available to make the divs equal height and then center ... */\n",
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" }\n",
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"\n",
" table.freq {\n",
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"\n",
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" max-width: 5em;\n",
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"\n",
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" }\n",
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" border-radius: 3px;\n",
" margin-right: 4px;\n",
" }\n",
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" }\n",
" .missing .bar{\n",
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" }\n",
" .tooltip-inner {\n",
" width: 100%;\n",
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"\n",
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" padding: 2em;\n",
" }\n",
"\n",
" .pp-anchor{\n",
"\n",
" }\n",
"\n",
"</style>\n",
"\n",
"<div class=\"container pandas-profiling\">\n",
" <div class=\"row headerrow highlight\">\n",
" <h1>Overview</h1>\n",
" </div>\n",
" <div class=\"row variablerow\">\n",
" <div class=\"col-md-6 namecol\">\n",
" <p class=\"h4\">Dataset info</p>\n",
" <table class=\"stats\" style=\"margin-left: 1em;\">\n",
" <tbody>\n",
" <tr>\n",
" <th>Number of variables</th>\n",
" <td>5 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Number of observations</th>\n",
" <td>1829 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Total Missing (%)</th>\n",
" <td>0.0% </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Total size in memory</th>\n",
" <td>71.5 KiB </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Average record size in memory</th>\n",
" <td>40.0 B </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </div>\n",
" <div class=\"col-md-6 namecol\">\n",
" <p class=\"h4\">Variables types</p>\n",
" <table class=\"stats\" style=\"margin-left: 1em;\">\n",
" <tbody>\n",
" <tr>\n",
" <th>Numeric</th>\n",
" <td>4 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Categorical</th>\n",
" <td>0 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Boolean</th>\n",
" <td>1 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Date</th>\n",
" <td>0 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Text (Unique)</th>\n",
" <td>0 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Rejected</th>\n",
" <td>0 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Unsupported</th>\n",
" <td>0 </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </div>\n",
" <div class=\"col-md-12\" style=\"padding-left: 1em;\">\n",
" \n",
" <p class=\"h4\">Warnings</p>\n",
" <ul class=\"list-unstyled\"><li><a href=\"#pp_var_lng\"><code>lng</code></a> is highly skewed (γ1 = -22.892) <span class=\"label label-info\">Skewed</span></li><li><a href=\"#pp_var_type\"><code>type</code></a> has 1000 / 54.7% zeros <span class=\"label label-info\">Zeros</span></li> </ul>\n",
" </div>\n",
"</div>\n",
" <div class=\"row headerrow highlight\">\n",
" <h1>Variables</h1>\n",
" </div>\n",
" <div class=\"row variablerow\">\n",
" <div class=\"col-md-3 namecol\">\n",
" <p class=\"h4 pp-anchor\" id=\"pp_var_id\">id<br/>\n",
" <small>Numeric</small>\n",
" </p>\n",
" </div><div class=\"col-md-6\">\n",
" <div class=\"row\">\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
" <tr>\n",
" <th>Distinct count</th>\n",
" <td>1829</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Unique (%)</th>\n",
" <td>100.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (n)</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Infinite (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Infinite (n)</th>\n",
" <td>0</td>\n",
" </tr>\n",
" </table>\n",
"\n",
" </div>\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
"\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>1416.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>2456</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Zeros (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
"</div>\n",
"<div class=\"col-md-3 collapse in\" id=\"minihistogram-3533053731392661444\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAAShJREFUeJzt3MFtwzAQAME4cEkpwj3lnZ5chHtiGjAWcQBKtDTzF8DP4k588DLGGB/AU597HwBWdt37ALyHr%2B/7y988fm4TTrItgTDNEaKyYkEQCAQr1kRHWDHOzgSBYIIs5j9Th3lMEAgCgXDaFcsPNH9hgkAQCASBQDjEP4irUWYxQSAIBIJAIAgEgkAgCATCIa55t%2BI6%2BXxMEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIy72L5e0pVmKCQBAIhMsYY%2Bx9CFiVCQJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBALhF09/GjlA%2BUksAAAAAElFTkSuQmCC\">\n",
"\n",
"</div>\n",
"<div class=\"col-md-12 text-right\">\n",
" <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-3533053731392661444,#minihistogram-3533053731392661444\"\n",
" aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"row collapse col-md-12\" id=\"descriptives-3533053731392661444\">\n",
" <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
" <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-3533053731392661444\"\n",
" aria-controls=\"quantiles-3533053731392661444\" role=\"tab\"\n",
" data-toggle=\"tab\">Statistics</a></li>\n",
" <li role=\"presentation\"><a href=\"#histogram-3533053731392661444\" aria-controls=\"histogram-3533053731392661444\"\n",
" role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
" <li role=\"presentation\"><a href=\"#common-3533053731392661444\" aria-controls=\"common-3533053731392661444\"\n",
" role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
" <li role=\"presentation\"><a href=\"#extreme-3533053731392661444\" aria-controls=\"extreme-3533053731392661444\"\n",
" role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
"\n",
" </ul>\n",
"\n",
" <div class=\"tab-content\">\n",
" <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-3533053731392661444\">\n",
" <div class=\"col-md-4 col-md-offset-1\">\n",
" <p class=\"h4\">Quantile statistics</p>\n",
" <table class=\"stats indent\">\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5-th percentile</th>\n",
" <td>385.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q1</th>\n",
" <td>926</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Median</th>\n",
" <td>1447</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q3</th>\n",
" <td>1980</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95-th percentile</th>\n",
" <td>2361.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>2456</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Range</th>\n",
" <td>2455</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Interquartile range</th>\n",
" <td>1054</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" <div class=\"col-md-4 col-md-offset-2\">\n",
" <p class=\"h4\">Descriptive statistics</p>\n",
" <table class=\"stats indent\">\n",
" <tr>\n",
" <th>Standard deviation</th>\n",
" <td>639.24</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Coef of variation</th>\n",
" <td>0.45126</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Kurtosis</th>\n",
" <td>-1.1594</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>1416.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MAD</th>\n",
" <td>550.8</td>\n",
" </tr>\n",
" <tr class=\"\">\n",
" <th>Skewness</th>\n",
" <td>-0.14379</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sum</th>\n",
" <td>2590911</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Variance</th>\n",
" <td>408620</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory size</th>\n",
" <td>14.4 KiB</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-3533053731392661444\">\n",
" <img 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7dO0adN0ySWX%2BLocAACA783vAtbOnTu1bt06JSYm%2BroUAACAC%2BJ3t2kICwvTgAEDfF0GAADABfO7gDVjxgytW7dOzc3Nvi4FAADggvjdKcLa2lpt3rxZH3zwgS6//HIFBwd79b/00ks%2Bqgzwb9ev%2BtjXJQAA/pffBSxJSk9P93UJAAAAF8zvAlZubq6vSwAAALgofncNliRVVVUpPz9fixcv1v/8z//ovffe06FDh3xdFgAAQIf4XcD68ssvNX36dL355pv63e9%2Bp9OnT2vLli3KyMiQy%2BXydXkAAADt8ruA9eijj2rixIl6//339YMf/ECS9MQTT2jChAl67LHHfFwdAABA%2B/wuYO3Zs0cLFizw%2BmFnp9OpO%2B%2B8UyUlJT6sDAAAoGP8LmC1tLSopaWlVfupU6cUFBTkg4oAAAC%2BH78LWCkpKVqzZo1XyKqtrVVeXp7Gjx/vw8oAAAA6xu8C1n333ad9%2B/YpJSVFDQ0N%2Bud//melpaXp8OHDWrJkia/LAwAAaJff3QcrOjpab731ljZv3qz9%2B/erpaVFN910k2bMmKG%2Bffv6ujwAAIB2%2BV3AkqTQ0FDNnj3b12UAAABcEL8LWPPmzWuzn98iBAAA/s7vAtbgwYO9njc1NenLL7/UwYMHdcstt/ioKgAAgI7zu4B1vt8iLCgoUGVlZRdXAwAA8P353bcIz2fGjBl69913fV0GAABAuwImYP3pT3/iRqMAACAg%2BN0pwnNd5H7y5En9%2Bc9/1pw5c3xQEQAAwPfjdwErJibG63cIJekHP/iB5s6dq5/85Cc%2BqgoAAKDj/C5gPfroo74uAQAA4KL4XcDavXt3h1979dVXd2IlAAAAF8bvAtZPf/pTzylCY4yn/ew2h8Oh/fv3d32BAAAA7fC7gLV69Wrl5OTonnvuUVJSkoKDg/Xpp59q%2BfLluuGGGzR16lRflwgAANAmv7tNQ25urh566CFNnjxZ/fr1U58%2BfTR%2B/HgtX75cr776qgYPHux5AAAA%2BCO/C1hVVVXnDE99%2B/ZVTU2NDyoCAAD4fvwuYMXFxemJJ57QyZMnPW21tbXKy8vTNddc48PKAAAAOsbvrsF64IEHNG/ePF177bUaMmSIjDH64osvFBkZqZdeesnX5QEAALTL7wLWsGHDtGXLFm3evFnl5eWSpJtvvlnTpk1TaGioj6sDAABon98FLEm69NJLNXv2bB0%2BfFiXX365pG/v5g4AABAI/O4aLGOMHnvsMV199dVKT09XZWWllixZomXLlumbb77xdXkAAADt8ruA9fLLL%2Bvtt9/Wv/3bvyk4OFiSNHHiRL3//vvKz8/3cXUAAADt87uAVVhYqIceekizZs3y3L196tSpysnJ0W9/%2B1sfVwcAANA%2BvwtYhw8f1siRI1u1jxgxQm632wcVAQAAfD9%2BF7AGDx6sTz/9tFX7hx9%2B6LngHQAAwJ/53bcIb731Vv3qV7%2BS2%2B2WMUY7duxQYWGhXn75Zd13332%2BLg8AAKBdfhewMjIy1NTUpF//%2Bteqr6/XQw89pP79%2B%2Buuu%2B7STTfd5OvyAAAA2uV3AWvz5s2aMmWKMjMzdfz4cRljNGDAAF%2BXBQAA0GF%2Bdw3W8uXLPRez9%2B/fn3AFAAACjt8FrCFDhujgwYPWltfY2Kj09HTt2rXL01ZRUaH58%2BcrLi5OU6dO1bZt27zes337dqWnpys2Nlbz5s1TRUWFtXoAAED353enCEeMGKFf/OIXWrdunYYMGaKQkBCv/tzc3A4vq6GhQYsXL1ZpaamnzRijrKwsDR8%2BXJs2bdL777%2BvhQsXasuWLYqJidGRI0eUlZWlRYsWKTU1VQUFBbrzzjv1zjvveO7LBQAA0Ba/C1iff/65EhISJOmi7ntVVlamxYsXyxjj1b5z505VVFTotddeU1hYmIYNG6YdO3Zo06ZNWrRokV5//XVdddVV%2BtnPfibp20CXnJysTz75ROPGjbvwFQMAAD2GXwSslStXauHChQoLC9PLL79sZZlnAtG//uu/Ki4uztPucrl05ZVXKiwszNOWkJCg4uJiT39iYqKnLzQ0VKNGjVJxcTEBCwAAdIhfBKwXXnhBt956q1fouf3225WTk6OoqKgLWuacOXPO2e52u1stc8CAAaqsrOxQf0dUVVW1OvrmdIZd8LqcT1BQL68/AQAIVE7n%2Bfdlgbi/84uAdfZpPEnavXu3GhoarH9WXV2d50ekzwgODlZjY2OH%2BjuisLCw1Q9TZ2VlKTs7%2BwKrblt4eGinLBcAgK7Sr1%2Bfdl8TSPs7vwhYXSkkJES1tbVebY2Njerdu7en/%2Bww1djYqPDw8A5/RmZmpiZMmODV5nSGqabm1AVWfW5BQb0UHh6qEyfq1NzcYnXZAAB0pbb2kRezv%2BtIcOsMPS5gRUdHq6yszKuturrac/ouOjpa1dXVrfrP9QPU5xMVFdXqdKDb/bWamjonBDU3t3TasgEA6Aod2Y8F0v7Ob05mdtUtEGJjY/XZZ5%2Bpvr7e01ZUVKTY2FhPf1FRkaevrq5OJSUlnn4AAID2%2BM0RrJycHK97Xn3zzTfKy8tTnz7eh/a%2Bz32wziUpKUmDBg3S0qVLdeedd%2BqPf/yj9u7d61luRkaG1q9fr7Vr1yotLU0FBQW67LLL%2BAYhAADoML8IWFdffXWrb93Fx8erpqZGNTU1Vj8rKChIzz77rJYtW6ZZs2bphz/8oQoKChQTEyNJuuyyy/TMM8/okUceUUFBgeLj41VQUMBNRgEAQIc5zLm%2Bwgfr3O6vrS/T6eylfv36qKbmVECck75%2B1ce%2BLgEA4KfevSv5vH0Xs7%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%2BuxMRE/eY3v1F8fLzuuOMOnT592tclAwCAANFjA1Z5ebmGDx%2BuyMhIzyM8PFxbtmxRSEiI7r33Xg0bNkzLli1Tnz599N577/m6ZAAAECB6dMAaMmRIq3aXy6WEhAQ5HA5JksPh0NixY1VcXNzFFQIAgEDVIwOWMUaff/65tm3bpsmTJ2vixIl67LHH1NjYKLfbraioKK/XDxgwQJWVlT6qFgAABBqnrwvwhSNHjqiurk7BwcFatWqVDh8%2BrJycHNXX13vavys4OFiNjY0dXn5VVZXcbrdXm9MZ1iq4XaygoF5efwIAEKiczvPvywJxf9cjA9bgwYO1a9cuXXrppXI4HBo5cqRaWlp0zz33KCkpqVWYamxsVO/evTu8/MLCQuXn53u1ZWVleb6laFt4eGinLBcAgK7Sr1%2Bfdl8TSPu7HhmwJCkiIsLr%2BbBhw9TQ0KDIyEhVV1d79VVXV3%2Bvo0%2BZmZmaMGGCV5vTGaaamlMXXvA5BAX1Unh4qE6cqFNzc4vVZQMA0JXa2kdezP6uI8GtM/TIgPXRRx/pF7/4hT744AOFhn6bhvfv36%2BIiAglJCToueeekzFGDodDxhjt2bNHP//5zzu8/KioqFaBzO3%2BWk1NnROCmptbOm3ZAAB0hY7sxwJpfxc4JzMtio%2BPV0hIiB544AEdOnRI//Vf/6WVK1fqtttu05QpU3TixAk9/PDDKisr08MPP6y6ujpdf/31vi4bAAAEiB4ZsPr27av169fr%2BPHjysjI0LJly5SZmanbbrtNffv21Zo1a1RUVKRZs2bJ5XJp7dq1CgsL83XZAAAgQPTIU4SS9OMf/1gvvPDCOfvGjBmjN998s4srAgAA3UWPPIIFAADQmQhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsc/q6AFycxGXv%2BboEAABwFo5gAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwDqHhoYG3X///UpMTFRKSoqef/55X5cEAAACCD%2BVcw4rV67Uvn37tGHDBh05ckRLlixRTEyMpkyZ4uvSAABAACBgneX06dN6/fXX9dxzz2nUqFEaNWqUSktL9corrxCwAABAh3CK8CwHDhxQU1OT4uPjPW0JCQlyuVxqaWnxYWUAACBQcATrLG63W/369VNwcLCnbeDAgWpoaFBtba369%2B/f7jKqqqrkdru92pzOMEVFRVmtNSiIfAwA6B6czvPv087s7wJpv0fAOktdXZ1XuJLked7Y2NihZRQWFio/P9%2BrbeHChVq0aJGdIv9XVVWVbvl/pcrMzLQe3vCtqqoqFRYWMsadhPHtfIxx52OMO19VVZU2bFgXUGMcOFGwi4SEhLQKUmee9%2B7du0PLyMzM1G9%2B8xuvR2ZmpvVa3W638vPzWx0tgz2McedifDsfY9z5GOPOF4hjzBGss0RHR6umpkZNTU1yOr8dHrfbrd69eys8PLxDy4iKigqYhA0AAOzjCNZZRo4cKafTqeLiYk9bUVGRRo8erV69GC4AANA%2BEsNZQkNDNXPmTP3yl7/U3r179f777%2Bv555/XvHnzfF0aAAAIEEG//OUvf%2BnrIvzN%2BPHjVVJSoscff1w7duzQz3/%2Bc2VkZPi6rHPq06ePkpKS1KdPH1%2BX0m0xxp2L8e18jHHnY4w7X6CNscMYY3xdBAAAQHfCKUIAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQSsANTQ0KD7779fiYmJSklJ0fPPP%2B/rkgLS1q1bdcUVV3g9srOzJUklJSWaPXu2YmNjlZGRoX379nm9d/PmzZo4caJiY2OVlZWl48eP%2B2IV/FJjY6PS09O1a9cuT1tFRYXmz5%2BvuLg4TZ06Vdu2bfN6z/bt25Wenq7Y2FjNmzdPFRUVXv0vvviiUlNTFR8fr/vvv191dXVdsi7%2B6lxjnJOT02o%2Bb9y40dPf1pw1xuixxx7T%2BPHjlZSUpJUrV6qlpaVL18lfHDt2TNnZ2UpKSlJqaqpyc3PV0NAgiXlsS1tj3K3msUHAWb58uZk%2BfbrZt2%2Bf%2Bf3vf2/i4%2BPNu%2B%2B%2B6%2BuyAs6zzz5r7rjjDlNVVeV5/PWvfzWnTp0yycnJ5tFHHzVlZWVmxYoV5m//9m/NqVOnjDHGuFwuM2bMGPPmm2%2Ba/fv3m7lz55rbb7/dx2vjH%2Brr601WVpYZPny42blzpzHGmJaWFjN9%2BnSzePFiU1ZWZlavXm1iY2PNV199ZYwx5quvvjJxcXFm/fr15uDBg%2BZf/uVfTHp6umlpaTHGGPPee%2B%2BZhIQE85//%2BZ/G5XKZqVOnml/96lc%2BW0dfO9cYG2PM/PnzzZo1a7zm8%2BnTp40x7c/Z9evXm%2Buuu87s3r3b7Nixw6SkpJh169Z1%2Bbr5WktLi/nHf/xHc9ttt5mDBw%2Ba3bt3m0mTJplHH32UeWxJW2NsTPeaxwSsAHPq1CkzevRorw1rQUGBmTt3rg%2BrCkyLFy82jz/%2BeKv2119/3UyYMMGzYWxpaTGTJk0ymzZtMsYYc88995glS5Z4Xn/kyBFzxRVXmL/85S9dU7ifKi0tNT/5yU/M9OnTvXb%2B27dvN3HFtfSuAAAHAklEQVRxcZ6Aaowxt9xyi3n66aeNMcasWrXKa/6ePn3axMfHe94/Z84cz2uNMWb37t1mzJgxno1uT3K%2BMTbGmNTUVPPRRx%2Bd833tzdnrrrvOM7%2BNMeatt94yaWlpnbQW/qusrMwMHz7cuN1uT9tvf/tbk5KSwjy2pK0xNqZ7zWNOEQaYAwcOqKmpSfHx8Z62hIQEuVyuHntI/0KVl5dryJAhrdpdLpcSEhLkcDgkSQ6HQ2PHjlVxcbGnPzEx0fP6QYMGKSYmRi6Xq0vq9leffPKJxo0bp8LCQq92l8ulK6%2B8UmFhYZ62hISE845naGioRo0apeLiYjU3N%2BvTTz/16o%2BLi9M333yjAwcOdPIa%2BZ/zjfHJkyd17Nixc85nqe05e%2BzYMR09elRXX321pz8hIUFfffWVqqqqOmU9/FVkZKTWrVungQMHerWfPHmSeWxJW2Pc3eax0yefigvmdrvVr18/BQcHe9oGDhyohoYG1dbWqn///j6sLnAYY/T5559r27ZtWrNmjZqbmzVlyhRlZ2fL7XbrRz/6kdfrBwwYoNLSUklSVVWVoqKiWvVXVlZ2Wf3%2BaM6cOedsd7vdbY5XW/0nTpxQQ0ODV7/T6VRERESPHO/zjXF5ebkcDodWr16tDz/8UBEREVqwYIFuuOEGSW3PWbfbLUle/Wd2fpWVla3e152Fh4crNTXV87ylpUUbN27U%2BPHjmceWtDXG3W0eE7ACTF1dnVe4kuR53tjY6IuSAtKRI0c8Y7lq1SodPnxYOTk5qq%2BvP%2B8Ynxnf%2Bvr6Nvvhrb3xbKu/vr7e8/x874d06NAhORwODR06VHPnztXu3bv14IMPqm/fvpo0aVKbc/ZcY8w25Vt5eXkqKSnRG2%2B8oRdffJF53Am%2BO8afffZZt5rHBKwAExIS0mqynHneu3dvX5QUkAYPHqxdu3bp0ksvlcPh0MiRI9XS0qJ77rlHSUlJ5xzjM%2BN7vr%2BD0NDQLqs/kISEhKi2ttarrSPjGR4erpCQEM/zs/sZ7/8zc%2BZMpaWlKSIiQpI0YsQIffHFF3r11Vc1adKkNufsd3dCZ493Tx7jvLw8bdiwQU8%2B%2BaSGDx/OPO4EZ4/xj3/84241j7kGK8BER0erpqZGTU1Nnja3263evXsrPDzch5UFnoiICM91VpI0bNgwNTQ0KDIyUtXV1V6vra6u9hxijo6OPmd/ZGRk5xcdgM43Xh0Zz4iICIWEhHj1NzU1qba2lvH%2BDofD4dkpnTF06FAdO3ZMUttjHB0dLUmeUyzf/e%2BeOsYrVqzQCy%2B8oLy8PE2ePFkS89i2c41xd5vHBKwAM3LkSDmdTs%2BFlZJUVFSk0aNHq1cv/jo76qOPPtK4ceO87kOzf/9%2BRUREKCEhQX/6059kjJH07fVae/bsUWxsrCQpNjZWRUVFnvcdPXpUR48e9fTDW2xsrD777DPPIXzp2zl7vvGsq6tTSUmJYmNj1atXL40ePdqrv7i4WE6nUyNGjOi6lfBzTz31lObPn%2B/VduDAAQ0dOlRS23M2OjpaMTExXv1FRUWKiYnpUddfnZGfn6/XXntNTzzxhKZNm%2BZpZx7bc74x7nbz2GffX8QFe/DBB820adOMy%2BUyW7duNWPHjjW/%2B93vfF1WQPn6669Namqqufvuu015ebn54IMPTEpKilm7dq35%2Buuvzfjx482KFStMaWmpWbFihUlOTvZ8PXvPnj1m1KhR5j/%2B4z8892K54447fLxG/uW7txBoamoyU6dONXfddZc5ePCgWbNmjYmLi/PcP6iiosKMHj3arFmzxnP/oOnTp3tuk7F582YzduxYs3XrVuNyucy0adPMihUrfLZu/uK7Y%2BxyucyVV15p1q1bZ7788kvzyiuvmKuuusrs2bPHGNP%2BnF2zZo1JSUkxO3fuNDt37jQpKSnm%2Beef98l6%2BVJZWZkZOXKkefLJJ73uw1RVVcU8tqStMe5u85iAFYBOnz5t7r33XhMXF2dSUlLMCy%2B84OuSAtLBgwfN/PnzTVxcnElOTjbPPPOMZ2PocrnMzJkzzejRo82NN95oPvvsM6/3btq0yVx33XUmLi7OZGVlmePHj/tiFfzW2fdo%2BuKLL8zNN99srrrqKjNt2jTz8ccfe73%2Bgw8%2BMP/wD/9gxowZY2655ZZW9xRbs2aNueaaa0xCQoJZunSpqa%2Bv75L18Gdnj/HWrVvN9OnTzejRo82UKVNa/aOrrTnb1NRkHnnkEZOYmGjGjRtn8vLyPP8v9CRr1qwxw4cPP%2BfDGOaxDe2NcXeaxw5j/vc8CAAAAKzgoh0AAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsOz/A/HzRGew7dp7AAAAAElFTkSuQmCC\"/>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-3533053731392661444\">\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">2047</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1340</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1344</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1346</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1348</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1350</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1352</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1354</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1358</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1360</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"other\">\n",
" <td class=\"fillremaining\">Other values (1819)</td>\n",
" <td class=\"number\">1819</td>\n",
" <td class=\"number\">99.5%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme-3533053731392661444\">\n",
" <p class=\"h4\">Minimum 5 values</p>\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">1</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">3</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">4</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">239</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" <p class=\"h4\">Maximum 5 values</p>\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">2451</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2452</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2453</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2454</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2456</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" </div>\n",
"</div>\n",
"</div><div class=\"row variablerow\">\n",
" <div class=\"col-md-3 namecol\">\n",
" <p class=\"h4 pp-anchor\" id=\"pp_var_lat\">lat<br/>\n",
" <small>Numeric</small>\n",
" </p>\n",
" </div><div class=\"col-md-6\">\n",
" <div class=\"row\">\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
" <tr>\n",
" <th>Distinct count</th>\n",
" <td>1825</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Unique (%)</th>\n",
" <td>99.8%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (n)</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Infinite (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Infinite (n)</th>\n",
" <td>0</td>\n",
" </tr>\n",
" </table>\n",
"\n",
" </div>\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
"\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>59.882</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>37.445</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>68.975</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Zeros (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
"</div>\n",
"<div class=\"col-md-3 collapse in\" id=\"minihistogram8304973838649672752\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAAPxJREFUeJzt1bENQkEMBUE%2BoiSKoCdieqIIejINoJUI4C6YyS29ZOVjZuYEfHRePQB2dlk9gP%2B73p9f37wetx8s2Z8PAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQjpmZ1SNgVz4IBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIhDet3wuP2/4/EwAAAABJRU5ErkJggg%3D%3D\">\n",
"\n",
"</div>\n",
"<div class=\"col-md-12 text-right\">\n",
" <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives8304973838649672752,#minihistogram8304973838649672752\"\n",
" aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"row collapse col-md-12\" id=\"descriptives8304973838649672752\">\n",
" <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
" <li role=\"presentation\" class=\"active\"><a href=\"#quantiles8304973838649672752\"\n",
" aria-controls=\"quantiles8304973838649672752\" role=\"tab\"\n",
" data-toggle=\"tab\">Statistics</a></li>\n",
" <li role=\"presentation\"><a href=\"#histogram8304973838649672752\" aria-controls=\"histogram8304973838649672752\"\n",
" role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
" <li role=\"presentation\"><a href=\"#common8304973838649672752\" aria-controls=\"common8304973838649672752\"\n",
" role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
" <li role=\"presentation\"><a href=\"#extreme8304973838649672752\" aria-controls=\"extreme8304973838649672752\"\n",
" role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
"\n",
" </ul>\n",
"\n",
" <div class=\"tab-content\">\n",
" <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles8304973838649672752\">\n",
" <div class=\"col-md-4 col-md-offset-1\">\n",
" <p class=\"h4\">Quantile statistics</p>\n",
" <table class=\"stats indent\">\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>37.445</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5-th percentile</th>\n",
" <td>59.845</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q1</th>\n",
" <td>59.922</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Median</th>\n",
" <td>59.94</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q3</th>\n",
" <td>59.963</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95-th percentile</th>\n",
" <td>60.032</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>68.975</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Range</th>\n",
" <td>31.53</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Interquartile range</th>\n",
" <td>0.040807</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" <div class=\"col-md-4 col-md-offset-2\">\n",
" <p class=\"h4\">Descriptive statistics</p>\n",
" <table class=\"stats indent\">\n",
" <tr>\n",
" <th>Standard deviation</th>\n",
" <td>0.80212</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Coef of variation</th>\n",
" <td>0.013395</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Kurtosis</th>\n",
" <td>395.18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>59.882</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MAD</th>\n",
" <td>0.1377</td>\n",
" </tr>\n",
" <tr class=\"\">\n",
" <th>Skewness</th>\n",
" <td>-15.873</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sum</th>\n",
" <td>109520</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Variance</th>\n",
" <td>0.6434</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory size</th>\n",
" <td>14.4 KiB</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram8304973838649672752\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzt3Xl0k3Xe//9X2thSWksLpJXtCEWhiFAKZXEABxgUEG7Z7cAti8DgSKHHoWwVZQBh6l3AES0uIC6AgxV1QBHHo/N1EGYEmSJlE6UFlbVNtaUsbUPb/P7gR86EFKbIRdbn45ycks%2BV5Hpf73wSXue6riQmu91uFwAAAAwT5OkCAAAA/A0BCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIOZPV1AoLBaz3q6hJsqKMik%2BvXD9fPP51Vdbfd0OV6BntSMvriiJ67oiSt64qo2PbFYbnVzVZewBwuGCAoyyWQyKSjI5OlSvAY9qRl9cUVPXNETV/TElTf3hIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMLOnCwAABK4Bz/3T0yVcl48f7%2B7pEuAj2IMFAABgMAIWAACAwQhYAAAABiNgAQAAGMznA5bNZtOgQYO0c%2BdOSdKcOXPUunVrl8vYsWMd90lKSnJZfv78eUlSRUWFnnjiCSUlJalHjx567bXXPLJdAADAd/n0pwgrKiqUlpamw4cPO8bmzp2rtLQ0x/UTJ05ozJgxjoBVUFCgs2fP6rPPPlOdOnUct6tbt64kKTMzU/v379ebb76pkydPavbs2WrcuLH69%2B/vpq0CAAC%2BzmcDVl5entLS0mS3253Gb731Vt16662O63PmzFH//v3Vt29fSVJ%2Bfr4sFouaNWvm8pgXLlzQhg0btGrVKrVt21Zt27bV4cOH9dZbbxGwAABArfnsIcKvvvpKXbt2VXZ29lVv8%2BWXX2rXrl2aPn26YywvL08tWrSo8faHDh1SZWWlEhMTHWOdOnVSbm6uqqurjSseAAD4NZ/dgzV69Oj/epuVK1dq6NChatSokWMsPz9fZWVlGjNmjI4ePao2bdroiSeeUIsWLWS1WhUdHa2QkBDH7Rs2bKiKigqVlJSofv36taqtsLBQVqvVacxsrquYmJhabp3vCQ4OcvoLenI19MUVPfEdZrPnniPmiStv7onPBqz/5tixY9qxY4fmzp3rNH7kyBGdOXNG06dPV0REhFatWqXx48fro48%2BUllZmVO4kuS4brPZar3u7OxsZWVlOY2lpKQoNTX1F26N74iMDPN0CV6HntSMvriiJ94vOjrc0yUwT2rgjT3x24D1ySefqE2bNrrjjjucxlevXq2LFy8qPPzSi2Tp0qX69a9/rc8//1yhoaEuQery9f88If6/SU5OVp8%2BfZzGzOa6Ki4%2B/0s2xScEBwcpMjJMpaVlqqricKpET66GvriiJ77Dk%2B/jzBNXtemJp0Kx3wasbdu26Te/%2BY3LeEhIiNNeqtDQUDVt2lQFBQXq2LGjiouLVVlZKbP5UmusVqvq1KmjyMjIWq87JibG5XCg1XpWlZX%2B/4KoqqoOiO28HvSkZvTFFT3xft7w/DBPXHljT7zvoKUB7Ha79u3bp44dO7qM9%2B3bV%2B%2B//75j7MKFC/rhhx8UFxenNm3ayGw2a8%2BePY7lOTk5ateunYKC/LJVAADgJvDLPVgnTpzQ%2BfPnXQ4Pmkwm9erVSy%2B88IKaNGmi%2BvXra/ny5brtttv061//WsHBwRoyZIjmz5%2BvP/3pTyosLNRrr72mjIwMD20JAADwRX4ZsH766SdJUr169VyWzZw5U2azWWlpaTp37py6deumlStXKjg4WJKUnp6u%2BfPna9y4cYqIiNC0adN0//33u7V%2BAADg20z2K7%2BpEzeF1XrW0yXcVGZzkKKjw1VcfN7rjoN7Cj2pGX1xFcg9GfDcPz1dwnX5%2BPHuHlt3IM%2BTq6lNTyyWW2scv9k4sQgAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAg/l8wLLZbBo0aJB27tzpGFu0aJFat27tdFm3bp1j%2BebNm9W3b18lJCQoJSVFP//8s2OZ3W7X0qVL1a1bN3Xp0kWZmZmqrq526zYBAADfZvZ0ATeioqJCaWlpOnz4sNN4fn6%2B0tLSNHToUMdYRESEJGnv3r2aO3euFixYoPj4eC1evFjp6el65ZVXJEmvv/66Nm/erKysLFVWVmrmzJlq0KCBJk6c6L4NAwAAPs1n92Dl5eXpoYce0o8//uiyLD8/X3fddZcsFovjEhYWJklat26dBgwYoCFDhig%2BPl6ZmZnaunWrjh07Jklas2aNUlNTlZSUpG7dumnGjBl666233LptAADAt/lswPrqq6/UtWtXZWdnO42fO3dOBQUFat68eY33y83NVVJSkuN6o0aN1LhxY%2BXm5qqgoECnTp1S586dHcs7deqkEydOqLCw8KZsBwAA8D8%2Be4hw9OjRNY7n5%2BfLZDLp5Zdf1hdffKGoqCg98sgjjsOFhYWFiomJcbpPgwYNdPr0aVmtVklyWt6wYUNJ0unTp13udzWFhYWOx7rMbK5b6/v7ouDgIKe/oCdXQ19c0RPfYTZ77jlinrjy5p74bMC6miNHjshkMikuLk4PP/ywdu3apaeeekoRERG67777VF5erpCQEKf7hISEyGazqby83HH9P5dJl06mr63s7GxlZWU5jaWkpCg1NfWXbpbPiIwM83QJXoee1Iy%2BuKIn3i86OtzTJTBPauCNPfG7gDVkyBD17t1bUVFRkqT4%2BHh9//33Wr9%2Bve677z6Fhoa6hCWbzaawsDCnMBUaGur4tyTHOVy1kZycrD59%2BjiNmc11VVx8/hdvl7cLDg5SZGSYSkvLVFXFpy4lenI19MUVPfEdnnwfZ564qk1PPBWK/S5gmUwmR7i6LC4uTjt27JAkxcbGqqioyGl5UVGRLBaLYmNjJUlWq1VNmzZ1/FuSLBZLrWuIiYlxORxotZ5VZaX/vyCqqqoDYjuvBz2pGX1xRU%2B8nzc8P8wTV97YE%2B87aHmDli9frvHjxzuNHTp0SHFxcZKkhIQE5eTkOJadOnVKp06dUkJCgmJjY9W4cWOn5Tk5OWrcuLFfnz8FAACM5Xd7sHr37q2VK1dq9erVuu%2B%2B%2B7R9%2B3Zt3LhRa9askSSNGjVKY8aMUYcOHdSuXTstXrxYvXr1UrNmzRzLly5dqttuu02StGzZMk2YMMFj2wMAAHyP3wWs9u3ba/ny5Xr%2B%2Bee1fPlyNWnSRMuWLVNiYqIkKTExUQsXLtTzzz%2BvM2fOqHv37nr66acd9584caJ%2B%2BuknTZ06VcHBwRoxYoTLHjEAAIBrMdntdruniwgEVutZT5dwU5nNQYqODldx8XmvOw7uKfSkZvTFVSD3ZMBz//R0Cdfl48e7e2zdgTxPrqY2PbFYbnVzVZf43TlYAAAAnkbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADCYzwcsm82mQYMGaefOnY6xPXv26Le//a0SExPVr18/bdiwwek%2BDz74oFq3bu10%2Be677yRJdrtdS5cuVbdu3dSlSxdlZmaqurrardsEAAB8m9nTBdyIiooKpaWl6fDhw44xq9Wq3/3udxo1apSeeeYZHThwQOnp6bJYLOrVq5eqqqr0/fffa926dWrevLnjftHR0ZKk119/XZs3b1ZWVpYqKys1c%2BZMNWjQQBMnTnT35gEAAB/lswErLy9PaWlpstvtTuOfffaZGjZsqOnTp0uSmjdvrp07d%2BrDDz9Ur169dPz4cV28eFHt27dXaGioy%2BOuWbNGqampSkpKkiTNmDFDy5cvJ2ABAIBa89lDhF999ZW6du2q7Oxsp/GePXsqIyPD5fbnzp2TdCmYNWrUqMZwVVBQoFOnTqlz586OsU6dOunEiRMqLCw0eAsAAIC/8tk9WKNHj65xvGnTpmratKnj%2Bk8//aSPPvpI06ZNkyTl5%2Bfrlltu0aOPPqr9%2B/erRYsWmjVrltq3by%2Br1SpJiomJcdy/YcOGkqTTp087jV9LYWGh47EuM5vr1vr%2Bvig4OMjpL%2BjJ1dAXV/TEd5jNnnuOmCeuvLknPhuwaqO8vFzTpk1Tw4YNlZycLEk6evSozpw5o5EjRyo1NVXvvPOOxo0bpy1btqi8vFySFBIS4niMy/%2B22Wy1Xm92draysrKcxlJSUpSamnqjm%2BT1IiPDPF2C16EnNaMvruiJ94uODvd0CcyTGnhjT/w2YJ0/f15TpkzR999/r7/85S8KC7vU/Kefflrl5eWKiIiQJM2fP1%2B7d%2B/Wpk2b9Ktf/UrSpTB1%2BRDi5WB1%2Bf61kZycrD59%2BjiNmc11VVx8/oa3y1sFBwcpMjJMpaVlqqriU5cSPbka%2BuKKnvgOT76PM09c1aYnngrFfhmwzp07p0mTJunHH3/Um2%2B%2B6fRpQbPZ7AhXkmQymRQXF6eCggLFxsZKuvRJxMuHGS8f6rNYLLVef0xMjMvhQKv1rCor/f8FUVVVHRDbeT3oSc3oiyt64v284flhnrjyxp5430HLG1RdXa2pU6fq%2BPHjWrt2re68806n5WPGjHE6fFddXa1vv/1WcXFxio2NVePGjZWTk%2BNYnpOTo8aNG/v1%2BVMAAMBYfrcH691339XOnTv10ksvKTIy0rEH6pZbblFUVJT69OmjFStWqE2bNmrRooXWrFmjs2fPaujQoZKkUaNGaenSpbrtttskScuWLdOECRM8tj0AAMD3%2BF3A%2BuSTT1RdXa1HH33UabxLly5au3atxo8fr4qKCi1atEhFRUVKSEjQ66%2B/7jhsOHHiRP3000%2BaOnWqgoODNWLECI0fP94DWwIAAHyVyX7lN3XiprBaz3q6hJvKbA5SdHS4iovPe91xcE%2BhJzWjL64CuScDnvunp0u4Lh8/3t1j6w7keXI1temJxXKrm6u6xO/OwQIAAPA0AhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAZze8AaOXKk3n77bZ0969%2B/zQcAAAKX2wNWt27d9PLLL6tHjx6aPn26tm/fLn5vGgAA%2BBO3B6y0tDR9/vnnevHFFxUcHKxp06apV69e%2BvOf/6yjR4%2B6uxwAAADDmT2xUpPJpO7du6t79%2B4qKyvT2rVr9eKLL2rlypXq2LGjxo0bp/vvv98TpQEAANwwjwQsSSosLNQHH3ygDz74QN999506duyooUOH6vTp03ryySe1a9cuzZ0711PlAQAA/GJuD1ibNm3Spk2btHPnTtWvX19DhgzR888/r%2BbNmztu06hRIy1evJiABQAAfJLbA9bcuXPVu3dvrVixQvfee6%2BCglxPA4uLi9PDDz/s7tIAAAAM4faA9cUXXyg6OlolJSWOcLV37161bdtWwcHBkqSOHTuqY8eO7i4NAADAEG7/FOG5c%2BfUv39/rVq1yjE2efJkDR48WKdOnXJ3OQAAAIZze8D605/%2BpNtvv12PPPKIY2zLli1q1KiRMjIy3F0OAACA4dwesP79739rzpw5slgsjrH69etr1qxZ2rFjh7vLAQAAMJzbA5bZbFZpaanLeFlZGd/oDgAA/ILbA9a9996rRYsW6ccff3SMHTt2TBkZGerZs6e7ywEAADCc2z9FOHv2bD3yyCPq16%2BfIiMjJUmlpaVq27at0tPT3V0OAACA4dwesBo0aKC//vWv%2Bte//qXDhw/LbDbrjjvu0D333COTyeTucgAAAAznkZ/KCQ4OVs%2BePTkkCAAA/JLbA5bVatVzzz2n3bt36%2BLFiy4ntv/97393d0kAAACGcnvAeuqpp7R//34NHDhQt956q7tXDwAAcNO5PWDt2LFDr776qpKSkty9agAAALdw%2B9c01K1bVw0aNDDs8Ww2mwYNGqSdO3c6xo4dO6bx48erQ4cOeuCBB7R9%2B3an%2B/zrX//SoEGDlJCQoLFjx%2BrYsWNOy9944w317NlTiYmJeuKJJ1RWVmZYvQAAwP%2B5PWANHjxYr776qqqqqm74sSoqKjR9%2BnQdPnzYMWa325WSkqKGDRvqvffe0%2BDBgzV16lSdPHlSknTy5EmlpKRo2LBhevfdd1W/fn1NmTLFcS7YJ598oqysLC1cuFBvvvmmcnNztWTJkhuuFQAABA63HyIsKSnR5s2b9Y9//EPNmjVTSEiI0/I1a9bU6nHy8vKUlpbmcpL8jh07dOzYMb399tuqW7euWrZsqS%2B//FLvvfeepk2bpg0bNujuu%2B/WhAkTJEkZGRnq3r27vvrqK3Xt2lVr1qzRuHHj1Lt3b0nSggULNHHiRM2cOVNhYWEGdAAAAPg7t%2B/BkqRBgwbp3nvvVYsWLdSkSROnS21dDkTZ2dlO47m5ubrrrrtUt25dx1inTp20Z88ex/L/PP8rLCxMbdu21Z49e1RVVaV9%2B/Y5Le/QoYMuXryoQ4cO/dLNBQAAAcbte7AyMjIMeZzRo0fXOG61WhUTE%2BM01qBBA50%2Bffq/Li8tLVVFRYXTcrPZrKioKMf9a6OwsFBWq9VpzGyu67JefxIcHOT0F/TkauiLK3riO8xmzz1HzBNX3twTj3zRaGFhod555x0dPXpUTzzxhHbt2qVWrVopLi7uhh%2B7rKzM5bBjSEiIbDbbf11eXl7uuH61%2B9dGdna2srKynMZSUlKUmppa68fwVZGRHEa9Ej2pGX1xRU%2B8X3R0uKdLYJ7UwBt74vaA9cMPP%2Bihhx5SRESECgoK9Pjjj2vLli1KT0/XG2%2B8oYSEhBt6/NDQUJWUlDiN2Ww21alTx7H8yrBks9kUGRmp0NBQx/Url1/P%2BVfJycnq06eP05jZXFfFxedr/Ri%2BJjg4SJGRYSotLVNVVbWny/EK9KRm9MUVPfEdnnwfZ564qk1PPBWK3R6wnnnmGfXt21eLFi1Sx44dJUnPPvusZs%2BeraVLl2rt2rU39PixsbHKy8tzGisqKnIcnouNjVVRUZHL8jZt2igqKkqhoaEqKipSy5YtJUmVlZUqKSmRxWKpdQ0xMTEuhwOt1rOqrPT/F0RVVXVAbOf1oCc1oy%2Bu6In384bnh3niyht74vaDlrt379Yjjzzi9MPOZrNZU6ZM0cGDB2/48RMSEnTgwAHH4T5JysnJcewZS0hIUE5OjmNZWVmZDh48qISEBAUFBaldu3ZOy/fs2SOz2az4%2BPgbrg0AAAQGtwes6upqVVe7pszz588rODj4hh%2B/S5cuatSokdLT03X48GGtXLlSe/fu1YgRIyRJw4cP1%2B7du7Vy5UodPnxY6enpatq0qbp27Srp0snzq1ev1meffaa9e/dq/vz5euihh/iKBgAAUGtuD1g9evTQK6%2B84hSySkpKtGTJEnXr1u2GHz84OFgvvviirFarhg0bpg8%2B%2BEArVqxQ48aNJUlNmzbVCy%2B8oPfee08jRoxQSUmJVqxY4dijNnDgQD366KOaN2%2BeJkyYoPbt22vmzJk3XBcAAAgcJvuV39R5kxUUFGjs2LE6e/asSkpKFBcXpxMnTigqKkrr1q27ru/C8iVW61lPl3BTmc1Bio4OV3Hxea87Du4p9KRm9MVVIPdkwHP/9HQJ1%2BXjx7t7bN2BPE%2BupjY9sVhudXNVl7j9JPfY2Fht3LhRmzdv1jfffKPq6mqNGjVKgwcPVkREhLvLAQAAMJxHvgcrLCxMI0eO9MSqAQAAbjq3B6yxY8dec3ltf4sQAADAW7k9YF15jlVlZaV%2B%2BOEHfffddxo3bpy7ywEAADCc1/wW4YoVK67r9/4AAAC8ldf8OuLgwYP18ccfe7oMAACAG%2BY1Aevrr7825ItGAQAAPM0rTnI/d%2B6cvv32W40ePdrd5QAAABjO7QGrcePGTr9DKEm33HKLHn74YT344IPuLgcAAMBwbg9YzzzzjLtXCQAA4FZuD1i7du2q9W07d%2B58EysBAAC4OdwesMaMGeM4RPifP4N45ZjJZNI333zj7vIAAABumNsD1ssvv6xFixZp5syZ6tKli0JCQrRv3z4tXLhQQ4cO1QMPPODukgAAAAzl9q9pyMjI0Lx589SvXz9FR0crPDxc3bp108KFC7V%2B/Xo1adLEcQEAAPBFbg9YhYWFNYaniIgIFRcXu7scAAAAw7k9YHXo0EHPPvuszp075xgrKSnRkiVLdM8997i7HAAAAMO5/RysJ598UmPHjtW9996r5s2by2636/vvv5fFYtGaNWvcXQ4AAIDh3B6wWrZsqS1btmjz5s3Kz8%2BXJP3v//6vBg4cqLCwMHeXAwAAYDi3ByxJqlevnkaOHKnjx4%2BrWbNmki59mzsAAIA/cPs5WHa7XUuXLlXnzp01aNAgnT59WrNnz9bcuXN18eJFd5cDAABgOLcHrLVr12rTpk364x//qJCQEElS37599dlnnykrK8vd5QAAABjO7QErOztb8%2BbN07Bhwxzf3v7AAw9o0aJF%2BvDDD91dDgAAgOHcHrCOHz%2BuNm3auIzHx8fLarW6uxwAAADDuT1gNWnSRPv27XMZ/%2BKLLxwnvAMAAPgyt3%2BKcOLEiVqwYIGsVqvsdru%2B/PJLZWdna%2B3atZozZ467ywEAADCc2wPW8OHDVVlZqZdeeknl5eWaN2%2Be6tevr8cff1yjRo1ydzkAAACGc3vA2rx5s/r376/k5GT9/PPPstvtatCggbvLAAAAuGncfg7WwoULHSez169fn3AFAAD8jtsDVvPmzfXdd9%2B5e7UAAABu4/ZDhPHx8ZoxY4ZeffVVNW/eXKGhoU7LMzIy3F0SAACAodwesI4ePapOnTpJ0k373qv3339f6enpLuMmk0mHDh3SY489pv/3//6f07KXX35ZvXv3liS98cYbWr16tc6dO6cBAwboqaee4oeoAQBArbklYGVmZmrq1KmqW7eu1q5de9PX98ADD6hnz56O65WVlRo3bpx69eolScrPz9eSJUt0zz33OG5Tr149SdInn3yirKwsLVmyRA0aNFB6erqWLFmiefPm3fS6AQCAf3DLOVivv/66ysrKnMYmT56swsLCm7K%2BOnXqyGKxOC4ffPCB7Ha7ZsyYIZvNpuPHj6tdu3ZOt7n8u4hr1qzRuHHj1Lt3b7Vv314LFizQe%2B%2B951I/AADA1bglYNntdpexXbt2qaKi4qavu6SkRKtWrVJaWppCQkJ05MgRmUymGr81vqqqSvv27VNSUpJjrEOHDrp48aIOHTp002sFAAD%2Bwe2fInS39evXKyYmRv3795ckHTlyRBEREZo1a5Z69OihESNGaOvWrZKk0tJSVVRUKCYmxnF/s9msqKgonT592iP1AwAA3%2BP2k9zdyW63a8OGDZo0aZJj7MiRIyovL1ePHj00efJkffrpp3rssceUnZ2thg0bSpLjcOFlISEhstlstV5vYWGhywn8ZnNdp%2BDmb4KDg5z%2Bgp5cDX1xRU98h9nsueeIeeLKm3vitoBlMpnctSqHffv2qaCgQAMHDnSMTZkyRWPGjHGc1B4fH68DBw7onXfe0R/%2B8AdJcglTNpvtuj5FmJ2draysLKexlJQUpaam/tJN8RmRkXza8kr0pGb0xRU98X7R0eGeLoF5UgNv7InbAtaiRYucvvPq4sWLWrJkicLDnSerkd%2BDtW3bNiUlJTnClCQFBQU5XZekuLg45eXlKSoqSqGhoSoqKlLLli0lXfoEYklJiSwWS63Xm5ycrD59%2BjiNmc11VVx8/ga2xrsFBwcpMjJMpaVlqqqq9nQ5XoGe1Iy%2BuKInvsOT7%2BPME1e16YmnQrFbAlbnzp1dDpklJiaquLhYxcXFN229e/fuVceOHZ3G5syZI5PJ5BTkDh06pFatWikoKEjt2rVTTk6OunbtKknas2ePzGaz4uPja73emJgYl8OBVutZVVb6/wuiqqo6ILbzetCTmtEXV/TE%2B3nD88M8ceWNPXFLwHLHd1/V5PDhw3rwwQedxvr06aPp06era9euSkxM1IcffqicnBwtXLhQkjR69GjNmzdPrVq1UkxMjObPn6%2BHHnqILxoFAAC15tcnuRcVFSkyMtJp7P7779cf//hHvfTSSzp58qTuvPNOvfrqq2ratKkkaeDAgTpx4oTmzZsnm82m%2B%2B%2B/XzNnzvRE%2BQAAwEf5dcDau3dvjeMjR47UyJEjr3q/yZMna/LkyTerLAAA4Oe873ONAAAAPo6ABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiPUu1kqAAASl0lEQVRgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwvw1Yn376qVq3bu10SU1NlSQdPHhQI0eOVEJCgoYPH679%2B/c73Xfz5s3q27evEhISlJKSop9//tkTmwAAAHyU3wasvLw89e7dW9u3b3dcFi1apAsXLmjy5MlKSkrS%2B%2B%2B/r8TERD366KO6cOGCJGnv3r2aO3eupk6dquzsbJWWlio9Pd3DWwMAAHyJ3was/Px8tWrVShaLxXGJjIzUli1bFBoaqlmzZqlly5aaO3euwsPD9be//U2StG7dOg0YMEBDhgxRfHy8MjMztXXrVh07dszDWwQAAHyFXwes5s2bu4zn5uaqU6dOMplMkiSTyaSOHTtqz549juVJSUmO2zdq1EiNGzdWbm6uW%2BoGAAC%2Bzy8Dlt1u19GjR7V9%2B3b169dPffv21dKlS2Wz2WS1WhUTE%2BN0%2BwYNGuj06dOSpMLCwmsuBwAA%2BG/Mni7gZjh58qTKysoUEhKi5557TsePH9eiRYtUXl7uGP9PISEhstlskqTy8vJrLq%2BNwsJCWa1WpzGzua5LcPMnwcFBTn9BT66GvriiJ77DbPbcc8Q8ceXNPfHLgNWkSRPt3LlT9erVk8lkUps2bVRdXa2ZM2eqS5cuLmHJZrOpTp06kqTQ0NAal4eFhdV6/dnZ2crKynIaS0lJcXyK0Z9FRta%2BT4GCntSMvriiJ94vOjrc0yUwT2rgjT3xy4AlSVFRUU7XW7ZsqYqKClksFhUVFTktKyoqcuxdio2NrXG5xWKp9bqTk5PVp08fpzGzua6Ki89fzyb4lODgIEVGhqm0tExVVdWeLscr0JOa0RdX9MR3ePJ9nHniqjY98VQo9suAtW3bNs2YMUP/%2BMc/HHuevvnmG0VFRalTp05atWqV7Ha7TCaT7Ha7du/erd///veSpISEBOXk5GjYsGGSpFOnTunUqVNKSEio9fpjYmJcDgdarWdVWen/L4iqquqA2M7rQU9qRl9c0RPv5w3PD/PElTf2xPsOWhogMTFRoaGhevLJJ3XkyBFt3bpVmZmZmjRpkvr376/S0lItXrxYeXl5Wrx4scrKyjRgwABJ0qhRo7Rp0yZt2LBBhw4d0qxZs9SrVy81a9bMw1sFAAB8hV8GrIiICK1evVo///yzhg8frrlz5yo5OVmTJk1SRESEXnnlFcdeqtzcXK1cuVJ169aVdCmcLVy4UCtWrNCoUaNUr149ZWRkeHiLAACALzHZ7Xa7p4sIBFbrWU%2BXcFOZzUGKjg5XcfF5r9tN6yn0pGb0xVUg92TAc//0dAnX5ePHu3ts3YE8T66mNj2xWG51c1WX%2BOUeLAAAAE8iYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYzG8DVkFBgVJTU9WlSxf17NlTGRkZqqiokCQtWrRIrVu3drqsW7fOcd/Nmzerb9%2B%2BSkhIUEpKin7%2B%2BWdPbQYAAPBBZk8XcDPY7XalpqYqMjJSb731ls6cOaMnnnhCQUFBmj17tvLz85WWlqahQ4c67hMRESFJ2rt3r%2BbOnasFCxYoPj5eixcvVnp6ul555RVPbQ4AAPAxfrkH68iRI9qzZ48yMjJ05513KikpSampqdq8ebMkKT8/X3fddZcsFovjEhYWJklat26dBgwYoCFDhig%2BPl6ZmZnaunWrjh075slNAgAAPsQvA5bFYtGrr76qhg0bOo2fO3dO586dU0FBgZo3b17jfXNzc5WUlOS43qhRIzVu3Fi5ubk3s2QAAOBH/DJgRUZGqmfPno7r1dXVWrdunbp166b8/HyZTCa9/PLLuvfee/Xggw/qr3/9q%2BO2hYWFiomJcXq8Bg0a6PTp026rHwAA%2BDa/PAfrSkuWLNHBgwf17rvv6sCBAzKZTIqLi9PDDz%2BsXbt26amnnlJERITuu%2B8%2BlZeXKyQkxOn%2BISEhstlstV5fYWGhrFar05jZXNcluPmT4OAgp7%2BgJ1dDX1zRE99hNnvuOWKeuPLmnvh9wFqyZInefPNN/fnPf1arVq105513qnfv3oqKipIkxcfH6/vvv9f69et13333KTQ01CVM2Ww2xzlatZGdna2srCynsZSUFKWmpt74Bnm5yMja9ylQ0JOa0RdX9MT7RUeHe7oE5kkNvLEnfh2wnn76aa1fv15LlixRv379JEkmk8kRri6Li4vTjh07JEmxsbEqKipyWl5UVCSLxVLr9SYnJ6tPnz5OY2ZzXRUXn/8lm%2BETgoODFBkZptLSMlVVVXu6HK9AT2pGX1zRE9/hyfdx5omr2vTEU6HYbwNWVlaW3n77bT377LPq37%2B/Y3z58uX6%2Buuv9cYbbzjGDh06pLi4OElSQkKCcnJyNGzYMEnSqVOndOrUKSUkJNR63TExMS6HA63Ws6qs9P8XRFVVdUBs5/WgJzWjL67oiffzhueHeeLKG3vifQctDZCfn68XX3xRv/vd79SpUydZrVbHpXfv3tq1a5dWr16tH3/8UX/5y1%2B0ceNGTZgwQZI0atQobdq0SRs2bNChQ4c0a9Ys9erVS82aNfPwVgEAAF/hl3uw/v73v6uqqkovvfSSXnrpJadl3377rZYvX67nn39ey5cvV5MmTbRs2TIlJiZKkhITE7Vw4UI9//zzOnPmjLp3766nn37aE5sBAAB8lMlut9s9XUQgsFrPerqEm8psDlJ0dLiKi8973W5aT6EnNaMvrgK5JwOe%2B6enS7guHz/e3WPrDuR5cjW16YnFcqubq7rELw8RAgAAeBIBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbBqUFFRoSeeeEJJSUnq0aOHXnvtNU%2BXBAAAfIjZ0wV4o8zMTO3fv19vvvmmTp48qdmzZ6tx48bq37%2B/p0sDAAA%2BgIB1hQsXLmjDhg1atWqV2rZtq7Zt2%2Brw4cN66623CFgAAKBWOER4hUOHDqmyslKJiYmOsU6dOik3N1fV1dUerAwAAPgK9mBdwWq1Kjo6WiEhIY6xhg0bqqKiQiUlJapfv/5/fYzCwkJZrVanMbO5rmJiYgyv11sEBwc5/QU9uRpf7Mt9S7d5ugR4CbPZc/PWF187N5s394SAdYWysjKncCXJcd1ms9XqMbKzs5WVleU0NnXqVE2bNs2YIr1QYWGh3nzzVSUnJ/t1kLwe9KRmvtiXfy%2B%2BuacHFBYWKjs726d6crPRE1e%2B%2BNq52by5J94X%2BTwsNDTUJUhdvl6nTp1aPUZycrLef/99p0tycrLhtXoTq9WqrKwslz13gYye1Iy%2BuKInruiJK3riypt7wh6sK8TGxqq4uFiVlZUymy%2B1x2q1qk6dOoqMjKzVY8TExHhdkgYAAO7DHqwrtGnTRmazWXv27HGM5eTkqF27dgoKol0AAOC/IzFcISwsTEOGDNH8%2BfO1d%2B9effbZZ3rttdc0duxYT5cGAAB8RPD8%2BfPne7oIb9OtWzcdPHhQy5Yt05dffqnf//73Gj58uKfL8nrh4eHq0qWLwsPDPV2K16AnNaMvruiJK3riip648taemOx2u93TRQAAAPgTDhECAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYOGGTJ48WXPmzHFcP3jwoEaOHKmEhAQNHz5c%2B/fv92B1nnFlTx577DG1bt3a6fL55597sEL3%2BPTTT122OzU1VVJgz5Nr9SVQ54rNZtOCBQvUuXNn/epXv9Kzzz6ry9%2BBHahz5Vo9CcR58v7777tsc%2BvWrRUfHy/JO%2BeJ2dMFwHd99NFH2rp1q4YOHSpJunDhgiZPnqz/%2BZ//0TPPPKP169fr0Ucf1aeffqq6det6uFr3uLInkpSfn68lS5bonnvucYzVq1fPE%2BW5VV5ennr37q2nn37aMRYaGhrw8%2BRqfZECd64sWrRIO3fu1OrVq3X%2B/Hn94Q9/UOPGjfXggw8G7Fy5Wk9%2B%2B9vfBuQ8eeCBB9SzZ0/H9crKSo0bN069evXy2vcUAhZ%2BkZKSEmVmZqpdu3aOsS1btig0NFSzZs2SyWTS3Llz9cUXX%2Bhvf/ubhg0b5sFq3aOmnthsNh0/flzt2rWTxWLxYHXul5%2Bfr1atWrls97vvvhvQ8%2BRqfQnUuVJSUqL33ntPr7/%2Butq3by9JmjBhgnJzc2U2mwNyrlyrJ8OGDQvIeVKnTh3VqVPHcf2VV16R3W7XjBkz9MEHH3jlPOEQIX6R//u//9PgwYN1xx13OMZyc3PVqVMnmUwmSZLJZFLHjh21Z88eT5XpVjX15MiRIzKZTGrWrJkHK/OM/Px8NW/e3GU80OfJ1foSqHMlJydHERER6tKli2Ns8uTJysjICNi5cq2eBOo8%2BU8lJSVatWqV0tLSFBIS4rXzhICF6/bll1/q3//%2Bt6ZMmeI0brVaFRMT4zTWoEEDnT592p3lecTVenLkyBFFRERo1qxZ6tGjh0aMGKGtW7d6qEr3sdvtOnr0qLZv365%2B/fqpb9%2B%2BWrp0qWw2W0DPk2v1JVDnyrFjx9SkSRNt3LhR/fv3129%2B8xutWLFC1dXVATtXrtWTQJ0n/2n9%2BvWKiYlR//79JXnv/z0cIsR1qaio0B//%2BEfNmzfPaXetJJWVlSkkJMRpLCQkRDabzZ0lut21enLkyBGVl5erR48emjx5sj799FM99thjys7OdjqU6G9OnjzpmA/PPfecjh8/rkWLFqm8vDxg54l07b5ERUUF5Fy5cOGCfvjhB7399tvKyMiQ1WrVvHnzFBYWFrBz5Vo9uXDhQkDOk8vsdrs2bNigSZMmOca8dZ4QsHBdsrKydPfddzudbHhZaGioy4S22WwuocPfXKsnU6ZM0ZgxYxwnoMbHx%2BvAgQN65513/PrNsEmTJtq5c6fq1asnk8mkNm3aqLq6WjNnzlSXLl0Ccp5I1%2B7L119/HZBzxWw269y5c1q2bJmaNGki6VIQXb9%2BvW6//faAnCvX6snHH38ckPPksn379qmgoEADBw50jHnr/z0ELFyXjz76SEVFRUpMTJQkx6T%2B5JNPNGjQIBUVFTndvqioyGXXrb%2B5Vk%2B%2B/vprl0/3xMXFKS8vz%2B11ultUVJTT9ZYtW6qiokIWiyUg58llV%2BvLmTNnVL9%2BfadlgTBXLBaLQkNDHUFCklq0aKFTp06pS5cuATlXrtWToKCggH1PkaRt27YpKSnJqQexsbFeOU84BwvXZe3atfrwww%2B1ceNGbdy4UX369FGfPn20ceNGJSQk6Ouvv3Z8V4vdbtfu3buVkJDg4apvrmv1ZM6cOUpPT3e6/aFDhxQXF%2Behat1j27Zt6tq1q8rKyhxj33zzjaKiotSpU6eAnCfStfuSmZkZkHMlISFBFRUVOnr0qGPsyJEjatKkScC%2Bp1yrJ4H6nnLZ3r171bFjR6cxb50nBCxclyZNmuj22293XMLDwxUeHq7bb79d/fv3V2lpqRYvXqy8vDwtXrxYZWVlGjBggKfLvqmu1ZM%2Bffo4wtcPP/ygrKws5eTk6OGHH/Z02TdVYmKiQkND9eSTT%2BrIkSPaunWrMjMzNWnSpICdJ9K1%2BxKocyUuLk69evVSenq6Dh06pG3btmnlypUaNWpUwM6Va/UkUOfJZYcPH3b6pLYk750nduAGzJ492z579mzH9dzcXPuQIUPs7dq1s48YMcJ%2B4MABD1bnGVf25J133rHff//99rvvvts%2BdOhQ%2B1dffeXB6tznu%2B%2B%2Bs48fP97eoUMHe/fu3e0vvPCCvbq62m63B/Y8uVZfAnWulJaW2mfOnGnv0KGD/Z577mGu2K/dk0CdJ3a73d6uXTv7F1984TLujfPEZLf///vUAAAAYAgOEQIAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABjs/wNYRX3vivVnzQAAAABJRU5ErkJggg%3D%3D\"/>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common8304973838649672752\">\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">59.94207352221809</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">59.942118736357536</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">59.94225623122101</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">59.909400675795816</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">59.931350550306824</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">59.86871187830324</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">60.071840734617176</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">59.94714635402794</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">59.98971543061309</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">59.778989857877015</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"other\">\n",
" <td class=\"fillremaining\">Other values (1815)</td>\n",
" <td class=\"number\">1815</td>\n",
" <td class=\"number\">99.2%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme8304973838649672752\">\n",
" <p class=\"h4\">Minimum 5 values</p>\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">37.44522892052206</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">48.81542835224893</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">48.902165424879534</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">51.32500858505639</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">53.88490773526676</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" <p class=\"h4\">Maximum 5 values</p>\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">60.215466460460604</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">60.250636672798926</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">60.712284773942855</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">61.97494792771192</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">68.97486392562487</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" </div>\n",
"</div>\n",
"</div><div class=\"row variablerow\">\n",
" <div class=\"col-md-3 namecol\">\n",
" <p class=\"h4 pp-anchor\" id=\"pp_var_lng\">lng<br/>\n",
" <small>Numeric</small>\n",
" </p>\n",
" </div><div class=\"col-md-6\">\n",
" <div class=\"row\">\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
" <tr>\n",
" <th>Distinct count</th>\n",
" <td>1808</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Unique (%)</th>\n",
" <td>98.9%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (n)</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Infinite (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Infinite (n)</th>\n",
" <td>0</td>\n",
" </tr>\n",
" </table>\n",
"\n",
" </div>\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
"\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>30.383</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>-122.16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>84.333</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Zeros (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
"</div>\n",
"<div class=\"col-md-3 collapse in\" id=\"minihistogram343213121208415260\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAAPxJREFUeJzt1bENQkEMBUE%2BoiSKoCdieqIIejINoJUI4C6YyS29ZOVjZuYEfHRePQB2dlk9gP%2B73p9f37wetx8s2Z8PAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQjpmZ1SNgVz4IBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIhDet3wuP2/4/EwAAAABJRU5ErkJggg%3D%3D\">\n",
"\n",
"</div>\n",
"<div class=\"col-md-12 text-right\">\n",
" <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives343213121208415260,#minihistogram343213121208415260\"\n",
" aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"row collapse col-md-12\" id=\"descriptives343213121208415260\">\n",
" <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
" <li role=\"presentation\" class=\"active\"><a href=\"#quantiles343213121208415260\"\n",
" aria-controls=\"quantiles343213121208415260\" role=\"tab\"\n",
" data-toggle=\"tab\">Statistics</a></li>\n",
" <li role=\"presentation\"><a href=\"#histogram343213121208415260\" aria-controls=\"histogram343213121208415260\"\n",
" role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
" <li role=\"presentation\"><a href=\"#common343213121208415260\" aria-controls=\"common343213121208415260\"\n",
" role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
" <li role=\"presentation\"><a href=\"#extreme343213121208415260\" aria-controls=\"extreme343213121208415260\"\n",
" role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
"\n",
" </ul>\n",
"\n",
" <div class=\"tab-content\">\n",
" <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles343213121208415260\">\n",
" <div class=\"col-md-4 col-md-offset-1\">\n",
" <p class=\"h4\">Quantile statistics</p>\n",
" <table class=\"stats indent\">\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>-122.16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5-th percentile</th>\n",
" <td>30.178</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q1</th>\n",
" <td>30.281</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Median</th>\n",
" <td>30.319</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q3</th>\n",
" <td>30.36</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95-th percentile</th>\n",
" <td>30.461</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>84.333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Range</th>\n",
" <td>206.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Interquartile range</th>\n",
" <td>0.078828</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" <div class=\"col-md-4 col-md-offset-2\">\n",
" <p class=\"h4\">Descriptive statistics</p>\n",
" <table class=\"stats indent\">\n",
" <tr>\n",
" <th>Standard deviation</th>\n",
" <td>4.2457</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Coef of variation</th>\n",
" <td>0.13974</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Kurtosis</th>\n",
" <td>935.85</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>30.383</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MAD</th>\n",
" <td>0.34747</td>\n",
" </tr>\n",
" <tr class=\"alert\">\n",
" <th>Skewness</th>\n",
" <td>-22.892</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sum</th>\n",
" <td>55571</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Variance</th>\n",
" <td>18.026</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory size</th>\n",
" <td>14.4 KiB</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram343213121208415260\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzt3XtUVPX%2B//HXwASCiKAO5G1lWF7yq4iQeo7aUb5amp7jLSMtL2mnTqGsirwgXdQwWmod7WCmpuWtIrNvlsfqm337VlaaBwO8RAFaeYWhILxwEZjfH63md0bsG8J2DzM8H2vNwvl8Zs9%2B7/1upteavWePxeFwOAQAAADD%2BLi7AAAAAG9DwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgVncX0FTY7WfcXUKj4uNjUatWzfXTT%2BdUU%2BNwdzm4BHrkGeiTZ6BP7mOztXDLevkEC27h42ORxWKRj4/F3aXgN9Ajz0CfPAN9anoIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAazursAAEDTNWL5Z%2B4u4bK8%2B%2BAAd5cAD8EnWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAG8/iAVVlZqVGjRmnv3r2SpHnz5qlr1661blOmTHEuExMTU2v%2B3LlzkqSKigrNnz9fMTExGjhwoNavX%2B%2BW7QIAAJ7Loy/TUFFRocTEROXm5jrHkpOTlZiY6Lx/4sQJTZ482RmwCgoKdObMGe3atUvNmjVzPi4wMFCStGTJEh08eFAbNmzQyZMnNXfuXLVr107Dhw83aasAAICn89iAlZeXp8TERDkcDpfxFi1aqEWLFs778%2BbN0/DhwzV06FBJUn5%2Bvmw2mzp27FjrOc%2BfP6%2BtW7dq7dq16tGjh3r06KHc3Fxt2bKFgAUAAOrMYw8Rfvnll%2BrXr5/S09N/8zFffPGF9u3bp4cfftg5lpeXp2uvvfaSj8/JyVFVVZWioqKcY9HR0crKylJNTY1xxQMAAK/msZ9gTZo06Xcfs2bNGo0dO1Zt27Z1juXn56usrEyTJ0/W0aNH1b17d82fP1/XXnut7Ha7QkND5efn53x8mzZtVFFRoZKSErVq1eqKbAsAAPAuHhuwfs%2BxY8e0Z88eJScnu4wfOXJEP//8sx5%2B%2BGEFBQVp7dq1mjZtmv75z3%2BqrKzMJVxJct6vrKys87oLCwtlt9tdxqzWQIWFhdVza7yPr6%2BPy180PvTIM9Anc1mt9dvP9Knp8dqA9f7776t79%2B667rrrXMbXrVunCxcuqHnz5pKkZcuW6U9/%2BpM%2B%2Bugj%2Bfv71wpSv97/9xPif096errS0tJcxuLj45WQkFCfTfFqwcEB7i4Bv4MeeQb6ZI7Q0OYNWp4%2BNR1eG7A%2B/fRT/ed//metcT8/P5dPqfz9/dWhQwcVFBSoT58%2BKi4uVlVVlazWX3aN3W5Xs2bNFBwcXOd1x8XFKTY21mXMag1UcfG5em6N9/H19VFwcIBKS8tUXc35bY0RPfIM9Mlc9X0fp0/u09BQXF9eGbAcDocOHDigv/3tb7XGhw0bpgceeEDjxo2T9Ms3B7///ntFRESoe/fuslqtyszMVExMjCQpIyNDPXv2lI9P3T/WDQsLq3U40G4/o6oqXlQXq66uYb80cvTIM9AnczR0H9OnpsMrA9aJEyd07ty5WocHLRaLBg8erH/84x9q3769WrVqpRUrVujqq6/Wn/70J/n6%2BmrMmDFasGCBnnrqKRUWFmr9%2BvVKTU1105YAAABP5JUB68cff5QktWzZstbc7NmzZbValZiYqLNnz6p///5as2aNfH19JUlJSUlasGCBpk6dqqCgIM2aNUs333yzqfUDAADPZnFcfKVOXBF2%2Bxl3l9CoWK0%2BCg1truLic3xc3kjRI8/g6X0asfwzd5dwWd59cEC9lvP0Pnkym63F7z/oCuD7ogAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYzOMDVmVlpUaNGqW9e/c6x1JSUtS1a1eX2%2BbNm53zO3bs0NChQxUZGan4%2BHj99NNPzjmHw6Fly5apf//%2B6tu3r5YsWaKamhpTtwkAAHg2q7sLaIiKigolJiYqNzfXZTw/P1%2BJiYkaO3ascywoKEiSlJ2dreTkZC1cuFDdunXT4sWLlZSUpNWrV0uSXnrpJe3YsUNpaWmqqqrS7Nmz1bp1a82YMcO8DQMAAB7NYz/BysvL0%2B23364ffvih1lx%2Bfr5uuOEG2Ww25y0gIECStHnzZo0YMUJjxoxRt27dtGTJEn388cc6duyYJGnjxo1KSEhQTEyM%2Bvfvr0ceeURbtmwxddsAAIBn89iA9eWXX6pfv35KT093GT979qwKCgrUqVOnSy6XlZWlmJgY5/22bduqXbt2ysrKUkFBgU6dOqUbb7zROR8dHa0TJ06osLDwimwHAADwPh57iHDSpEmXHM/Pz5fFYtELL7ygTz75RCEhIbr77rudhwsLCwsVFhbmskzr1q11%2BvRp2e12SXKZb9OmjSTp9OnTtZYDAAC4FI8NWL/lyJEjslgsioiI0F133aV9%2B/bpscceU1BQkIYNG6by8nL5%2Bfm5LOPn56fKykqVl5c77//7nPTLyfR1VVhY6Axrv7JaAwlo/8bX18flLxofeuQZ6JO5rNb67Wf61PR4XcAaM2aMhgwZopCQEElSt27d9N133%2BnVV1/VsGHD5O/vXyssVVZWKiAgwCVM%2Bfv7O/8tyXkOV12kp6crLS3NZSw%2BPl4JCQn13i5vFRxc9/0K96BHnoE%2BmSM0tHmDlqdPTYfXBSyLxeIMV7%2BKiIjQnj17JEnh4eEqKipymS8qKpLNZlN4eLgkyW63q0OHDs5/S5LNZqtzDXFxcYqNjXUZs1oDVVx87vI2xov5%2BvooODhApaVlqq7mMhiNET3yDPTJXPV9H6dP7tPQUFxfXhewVqxYoa%2B%2B%2Bkovv/yycywnJ0cRERGSpMjISGVkZGjcuHGSpFOnTunUqVOKjIxUeHi42rVrp4yMDGfAysjIULt27S7r8F5YWFitx9vtZ1RVxYvqYtXVNeyXRo4eeQb6ZI6G7mP61HR4XcAaMmSI1qxZo3Xr1mnYsGHavXu33nrrLW3cuFGSNHHiRE2ePFm9e/dWz549tXjxYg0ePFgdO3Z0zi9btkxXX321JOmZZ57R9OnT3bY9AADA83hdwOrVq5dWrFih5557TitWrFD79u31zDPPKCoqSpIUFRWlRYsW6bnnntPPP/%2BsAQMG6Mknn3QuP2PGDP3444%2BaOXOmfH19ddttt2natGlu2hoAAOCJLA6Hw%2BHuIpoCu/2Mu0toVKxWH4WGNldx8Tk%2BLm%2Bk6JFn8PQ%2BjVj%2BmbtLuCzvPjigXst5ep88mc3Wwi3r5fuiAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABjM4wNWZWWlRo0apb179zrHMjMzdccddygqKkq33HKLtm7d6rLMX/7yF3Xt2tXl9u2330qSHA6Hli1bpv79%2B6tv375asmSJampqTN0mAADg2azuLqAhKioqlJiYqNzcXOeY3W7XX//6V02cOFFPP/20Dh06pKSkJNlsNg0ePFjV1dX67rvvtHnzZnXq1Mm5XGhoqCTppZde0o4dO5SWlqaqqirNnj1brVu31owZM8zePAAA4KE8NmDl5eUpMTFRDofDZXzXrl1q06aNHn74YUlSp06dtHfvXr3zzjsaPHiwjh8/rgsXLqhXr17y9/ev9bwbN25UQkKCYmJiJEmPPPKIVqxYQcACAAB15rGHCL/88kv169dP6enpLuODBg1SampqrcefPXtW0i/BrG3btpcMVwUFBTp16pRuvPFG51h0dLROnDihwsJCg7cAAAB4K4/9BGvSpEmXHO/QoYM6dOjgvP/jjz/qn//8p2bNmiVJys/P11VXXaX77rtPBw8e1LXXXqs5c%2BaoV69estvtkqSwsDDn8m3atJEknT592mUcAADgt3hswKqL8vJyzZo1S23atFFcXJwk6ejRo/r55581YcIEJSQk6PXXX9fUqVO1c%2BdOlZeXS5L8/Pycz/HrvysrK%2Bu83sLCQmdY%2B5XVGkhA%2Bze%2Bvj4uf9H40CPPQJ/MZbXWbz/Tp6bHawPWuXPn9MADD%2Bi7777TK6%2B8ooCAAEnSk08%2BqfLycgUFBUmSFixYoP3792v79u364x//KOmXMPXrIcRfg9Wvy9dFenq60tLSXMbi4%2BOVkJDQ4O3yNsHBdd%2BvcA965BnokzlCQ5s3aHn61HR4ZcA6e/as7rnnHv3www/asGGDy7cFrVarM1xJksViUUREhAoKChQeHi7pl28i/nqY8ddPomw2W53XHxcXp9jYWJcxqzVQxcXn6rtJXsfX10fBwQEqLS1TdTWXwWiM6JFnoE/mqu/7OH1yn4aG4vryuoBVU1OjmTNn6vjx49q0aZM6d%2B7sMj958mT169dPM2fOdD7%2Bm2%2B%2B0Z133qnw8HC1a9dOGRkZzoCVkZGhdu3aXdbhvbCwsFqPt9vPqKqKF9XFqqtr2C%2BNHD3yDPTJHA3dx/Sp6fC6gPXGG29o7969WrVqlYKDg52fQF111VUKCQlRbGysVq5cqe7du%2Bvaa6/Vxo0bdebMGY0dO1aSNHHiRC1btkxXX321JOmZZ57R9OnT3bY9AADA83hdwHr//fdVU1Oj%2B%2B67z2W8b9%2B%2B2rRpk6ZNm6aKigqlpKSoqKhIkZGReumll5yHDWfMmKEff/xRM2fOlK%2Bvr2677TZNmzbNDVsCAAA8lcVx8ZU6cUXY7WfcXUKjYrX6KDS0uYqLz/FxeSNFjzyDp/dpxPLP3F3CZXn3wQH1Ws7T%2B%2BTJbLYWblkv3xcFAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgpgesCRMm6LXXXtOZM/x0DAAA8E6mB6z%2B/fvrhRde0MCBA/Xwww9r9%2B7d4ucQAQCANzE9YCUmJuqjjz7S888/L19fX82aNUuDBw/W3//%2Bdx09etTscgAAAAxndcdKLRaLBgwYoAEDBqisrEybNm3S888/rzVr1qhPnz6aOnWqbr75ZneUBgAA0GBuCViSVFhYqLfffltvv/22vv32W/Xp00djx47V6dOn9eijj2rfvn1KTk52V3kAAAD1ZnrA2r59u7Zv3669e/eqVatWGjNmjJ577jl16tTJ%2BZi2bdtq8eLFBCwAAOCRTA9YycnJGjJkiFauXKmbbrpJPj61TwOLiIjQXXfdZXZpAAAAhjA9YH3yyScKDQ1VSUmJM1xlZ2erR48e8vX1lST16dNHffr0Mbs0AAAAQ5j%2BLcKzZ89q%2BPDhWrt2rXPs3nvv1ejRo3Xq1CmzywEAADCc6QHrqaee0jXXXKO7777bObZz5061bdtWqampZpcDAABgONMD1r/%2B9S/NmzdPNpvNOdaqVSvNmTNHe/bsMbscAAAAw5kesKxWq0pLS2uNl5WVcUV3AADgFUwPWDfddJNSUlL0ww8/OMeOHTum1NRUDRo0yOxyAAAADGf6twjnzp2ru%2B%2B%2BW7fccouCg4MlSaWlperRo4eSkpLMLgcAAMBwpges1q1b67/%2B67/0%2BeefKzc3V1arVdddd53%2B8Ic/yGKxmF0OAACA4dzyUzm%2Bvr4aNGgQhwQBAIBXMj1g2e12LV%2B%2BXPv379eFCxdqndj%2B4Ycfml0SAACAoUwPWI899pgOHjyokSNHqkWLFmavHgAA4IozPWDt2bNHL774omJiYsxeNQAAgClMv0xDYGCgWrdubfZqAQAATGN6wBo9erRefPFFVVdXG/J8lZWVGjVqlPbu3escO3bsmKZNm6bevXvr1ltv1e7du12W%2BfzzzzVq1ChFRkZqypQpOnbsmMv8yy%2B/rEGDBikqKkrz589XWVmZIbUCAICmwfSAVVJSorfffls33XST7rjjDk2ZMsXldjkqKir08MMPKzc31znmcDgUHx%2BvNm3aaNu2bRo9erRmzpypkydPSpJOnjyp%2BPh4jRs3Tm%2B88YZatWqlBx54wHmy/fvvv6%2B0tDQtWrRIGzZsUFZWlpYuXWrcDgAAAF7PLZdpGDVqVIOfIy8vT4mJibW%2Bhbhnzx4dO3ZMr732mgIDA9W5c2d98cUX2rZtm2bNmqWtW7fqP/7jPzR9%2BnRJUmpqqgYMGKAvv/xS/fr108aNGzV16lQNGTJEkrRw4ULNmDFDs2fPVkBAQIPrBgAA3s/0gJWammrI8/waiB566CH17t3bOZ6VlaUbbrhBgYGBzrHo6GhlZmY65//9BPuAgAD16NFDmZmZiomJ0YEDBzRz5kznfO/evXXhwgXl5OQoKirKkNoBAIB3c8snWIWFhXr99dd19OhRzZ8/X/v27VOXLl0UERFR5%2BeYNGnSJcftdrvCwsJcxlq3bq3Tp0//7nxpaakqKipc5q1Wq0JCQpzL10VhYaHsdrvLmNUaWGu9TZmvr4/LXzQ%2B9Mgz0CdzWa3128/0qekxPWB9//33uv322xUUFKSCggI9%2BOCD2rlzp5KSkvTyyy8rMjKyQc9fVlYmPz8/lzE/Pz9VVlb%2B7nx5ebnz/m8tXxfp6elKS0tzGYuPj1dCQkKdn6OpCA7msGtjR488A30yR2ho8wYtT5%2BaDtMD1tNPP62hQ4cqJSVFffr0kSQ9%2B%2Byzmjt3rpYtW6ZNmzY16Pn9/f1VUlLiMlZZWalmzZo55y8OS5WVlQoODpa/v7/z/sXzl3P%2BVVxcnGJjY13GrNZAFRefq/NzeDtfXx8FBweotLRM1dU17i4Hl0CPPAN9Mld938fpk/s0NBTXl%2BkBa//%2B/dqyZYvLDztbrVY98MADuv322xv8/OHh4crLy3MZKyoqch6eCw8PV1FRUa357t27KyQkRP7%2B/ioqKlLnzp0lSVVVVSopKZHNZqtzDWFhYbUOB9rtZ1RVxYvqYtXVNeyXRo4eeQb6ZI6G7mP61HSYfjC4pqZGNTW1/%2BM6d%2B6cfH19G/z8kZGROnTokPNwnyRlZGQ4Dz1GRkYqIyPDOVdWVqbDhw8rMjJSPj4%2B6tmzp8t8ZmamrFarunXr1uDaAABA02B6wBo4cKBWr17tErJKSkq0dOlS9e/fv8HP37dvX7Vt21ZJSUnKzc3VmjVrlJ2drdtuu02SNH78eO3fv19r1qxRbm6ukpKS1KFDB/Xr10/SLyfPr1u3Trt27VJ2drYWLFig22%2B/nUs0AACAOjM9YM2bN08HDx7UwIEDVVFRofvvv19DhgzR8ePHNXfu3AY/v6%2Bvr55//nnZ7XaNGzdOb7/9tlauXKl27dpJkjp06KB//OMf2rZtm2677TaVlJRo5cqVzkOWI0eO1H333afHH39c06dPV69evTR79uwG1wUAAJoOi%2BPiK3WaoKysTDt27NDXX3%2BtmpoaXX/99Ro9erSCgoLMLsU0dvsZd5fQqFitPgoNba7i4nOcj9BI0SPP4Ol9GrH8M3eXcFnefXBAvZbz9D55MputhVvW65brYAUEBGjChAnuWDUAAMAVZ3rA%2Br3fG9y4caNJlQAAAFwZpges9u3bu9yvqqrS999/r2%2B//VZTp041uxwAAADDNZrfIly5cuVl/RwNAABAY9VofhRp9OjRevfdd91dBgAAQIM1moD11VdfGXKhUQAAAHdrFCe5nz17Vt98840mTZpkdjkAAACGMz1gtWvXzuV3CCXpqquu0l133aW//OUvZpcDAABgONMD1tNPP232KgEAAExlesDat29fnR974403XsFKAAAArgzTA9bkyZOdhwj//Vd6Lh6zWCz6%2BuuvzS4PAACgwUwPWC%2B88IJSUlI0e/Zs9e3bV35%2Bfjpw4IAWLVqksWPH6tZbbzW7JAAAAEOZfpmG1NRUPf7447rlllsUGhqq5s2bq3///lq0aJFeffVVtW/f3nkDAADwRKYHrMLCwkuGp6CgIBUXF5tdDgAAgOFMD1i9e/fWs88%2Bq7NnzzrHSkpKtHTpUv3hD38wuxwAAADDmX4O1qOPPqopU6bopptuUqdOneRwOPTdd9/JZrNp48aNZpcDAABgONMDVufOnbVz507t2LFD%2Bfn5kqQ777xTI0eOVEBAgNnlAAAAGM70gCVJLVu21IQJE3T8%2BHF17NhR0i9XcwcAAPAGpp%2BD5XA4tGzZMt14440aNWqUTp8%2Brblz5yo5OVkXLlwwuxwAAADDmR6wNm3apO3bt%2BuJJ56Qn5%2BfJGno0KHatWuX0tLSzC4HAADAcKYHrPT0dD3%2B%2BOMaN26c8%2Brtt956q1JSUvTOO%2B%2BYXQ4AAIDhTA9Yx48fV/fu3WuNd%2BvWTXa73exyAAAADGd6wGrfvr0OHDhQa/yTTz5xnvAOAADgyUz/FuGMGTO0cOFC2e12ORwOffHFF0pPT9emTZs0b948s8sBAAAwnOkBa/z48aqqqtKqVatUXl6uxx9/XK1atdKDDz6oiRMnml0OAACA4UwPWDt27NDw4cMVFxenn376SQ6HQ61btza7DAAAgCvG9HOwFi1a5DyZvVWrVoQrAADgdUwPWJ06ddK3335r9moBAABMY/ohwm7duumRRx7Riy%2B%2BqE6dOsnf399lPjU11eySAAAADGV6wDp69Kiio6MlieteAQAAr2RKwFqyZIlmzpypwMBAbdq06Yqv780331RSUlKtcYvFopycHN1///36n//5H5e5F154QUOGDJEkvfzyy1q3bp3Onj2rESNG6LHHHlNAQMAVrxsAAHgHU87Beumll1RWVuYydu%2B996qwsPCKrO/WW2/V7t27nbf//d//1TXXXKMpU6ZIkvLz87V06VKXxwwYMECS9P777ystLU2LFi3Shg0blJWVpaVLl16ROgEAgHcyJWA5HI5aY/v27VNFRcUVWV%2BzZs1ks9mct7ffflsOh0OPPPKIKisrdfz4cfXs2dPlMb/%2B8PTGjRs1depUDRkyRL169dLChQu1bdu2WgERAADgt5j%2BLUKzlZSUaO3atUpMTJSfn5%2BOHDkii8VyyZ/lqa6u1oEDBxQTE%2BMc6927ty5cuKCcnBwzywYAAB7M9JPczfbqq68qLCxMw4cPlyQdOXJEQUFBmjNnjr788ktdffXVmjVrlv70pz%2BptLRUFRUVCgsLcy5vtVoVEhKi06dP13mdhYWFtU7gt1oDXZ63qfP19XH5i8aHHnkG%2BmQuq7V%2B%2B5k%2BNT2mBSyLxWLWqpwcDoe2bt2qe%2B65xzl25MgRlZeXa%2BDAgbr33nv1wQcf6P7771d6erratGkjSc7Dhb/y8/NTZWVlndebnp6utLQ0l7H4%2BHglJCQ0YGu8U3AwXx5o7OiRZ6BP5ggNbd6g5elT02FawEpJSXG55tWFCxe0dOlSNW/u%2Bh%2BrkdfBOnDggAoKCjRy5Ejn2AMPPKDJkyerZcuWkn65LtehQ4f0%2Buuv66GHHpKkWmGqsrLysr5FGBcXp9jYWJcxqzVQxcXn6rspXsfX10fBwQEqLS1TdXWNu8vBJdAjz0CfzFXf93H65D4NDcX1ZUrAuvHGG2sdMouKilJxcbGKi4uv2Ho//fRTxcTEOMOUJPn4%2BLjcl6SIiAjl5eUpJCRE/v7%2BKioqUufOnSVJVVVVKikpkc1mq/N6w8LCah0OtNvPqKqKF9XFqqtr2C%2BNHD3yDPTJHA3dx/Sp6TAlYJlx7atLyc7OVp8%2BfVzG5s2bJ4vF4vJJWU5Ojrp06SIfHx/17NlTGRkZ6tevnyQpMzNTVqtV3bp1M7V2AADgubz6bLvc3Fxdd911LmOxsbF655139NZbb%2Bn7779XWlqaMjIydNddd0mSJk2apHXr1mnXrl3Kzs7WggULdPvtt3OhUQAAUGde/S3CoqIiBQcHu4zdfPPNeuKJJ7Rq1SqdPHlS119/vV588UV16NBBkjRy5EidOHFCjz/%2BuCorK3XzzTdr9uzZ7igfAAB4KIvjUlcBheHs9jPuLqFRsVp9FBraXMXF5zgfoZGiR57B0/s0Yvln7i7hsrz74IB6LefpffJkNlsLt6zXqw8RAgAAuAMBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgXhuwPvjgA3Xt2tXllpCQIEk6fPiwJkyYoMjISI0fP14HDx50WXbHjh0aOnSoIiMjFR8fr59%2B%2BskdmwAAADyU1wasvLw8DRkyRLtjAmZfAAARY0lEQVR373beUlJSdP78ed17772KiYnRm2%2B%2BqaioKN133306f/68JCk7O1vJycmaOXOm0tPTVVpaqqSkJDdvDQAA8CReG7Dy8/PVpUsX2Ww25y04OFg7d%2B6Uv7%2B/5syZo86dOys5OVnNmzfXe%2B%2B9J0navHmzRowYoTFjxqhbt25asmSJPv74Yx07dszNWwQAADyFVwesTp061RrPyspSdHS0LBaLJMlisahPnz7KzMx0zsfExDgf37ZtW7Vr105ZWVmm1A0AADyf1d0FXAkOh0NHjx7V7t27tXr1alVXV2v48OFKSEiQ3W7Xdddd5/L41q1bKzc3V5JUWFiosLCwWvOnT5%2Bu8/oLCwtlt9tdxqzWwFrP25T5%2Bvq4/EXjQ488A30yl9Vav/1Mn5oerwxYJ0%2BeVFlZmfz8/LR8%2BXIdP35cKSkpKi8vd47/Oz8/P1VWVkqSysvL/8/5ukhPT1daWprLWHx8vPMke/x/wcEB7i4Bv4MeeQb6ZI7Q0OYNWp4%2BNR1eGbDat2%2BvvXv3qmXLlrJYLOrevbtqamo0e/Zs9e3bt1ZYqqysVLNmzSRJ/v7%2Bl5wPCKj7iyIuLk6xsbEuY1ZroIqLz9Vzi7yPr6%2BPgoMDVFpapurqGneXg0ugR56BPpmrvu/j9Ml9GhqK68srA5YkhYSEuNzv3LmzKioqZLPZVFRU5DJXVFTkPHwXHh5%2ByXmbzVbndYeFhdU6HGi3n1FVFS%2Bqi1VX17BfGjl65Bnokzkauo/pU9PhlQeDP/30U/Xr109lZWXOsa%2B//lohISGKjo7WV199JYfDIemX87X279%2BvyMhISVJkZKQyMjKcy506dUqnTp1yzgMAAPwerwxYUVFR8vf316OPPqojR47o448/1pIlS3TPPfdo%2BPDhKi0t1eLFi5WXl6fFixerrKxMI0aMkCRNnDhR27dv19atW5WTk6M5c%2BZo8ODB6tixo5u3CgAAeAqvDFhBQUFat26dfvrpJ40fP17JycmKi4vTPffco6CgIK1evVoZGRkaN26csrKytGbNGgUGBkr6JZwtWrRIK1eu1MSJE9WyZUulpqa6eYsAAIAnsTh%2BPVaGK8puP%2BPuEhoVq9VHoaHNVVx8jvMRGil65Bk8vU8jln/m7hIuy7sPDqjXcp7eJ09ms7Vwy3q98hMsAAAAdyJgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABjMawNWQUGBEhIS1LdvXw0aNEipqamqqKiQJKWkpKhr164ut82bNzuX3bFjh4YOHarIyEjFx8frp59%2BctdmAAAAD2R1dwFXgsPhUEJCgoKDg7Vlyxb9/PPPmj9/vnx8fDR37lzl5%2BcrMTFRY8eOdS4TFBQkScrOzlZycrIWLlyobt26afHixUpKStLq1avdtTkAAMDDeOUnWEeOHFFmZqZSU1N1/fXXKyYmRgkJCdqxY4ckKT8/XzfccINsNpvzFhAQIEnavHmzRowYoTFjxqhbt25asmSJPv74Yx07dsydmwQAADyIVwYsm82mF198UW3atHEZP3v2rM6ePauCggJ16tTpkstmZWUpJibGeb9t27Zq166dsrKyrmTJAADAi3jlIcLg4GANGjTIeb%2BmpkabN29W//79lZ%2BfL4vFohdeeEGffPKJQkJCdPfddzsPFxYWFiosLMzl%2BVq3bq3Tp0/Xef2FhYWy2%2B0uY1ZrYK3nbcp8fX1c/qLxoUeegT6Zy2qt336mT02PVwasiy1dulSHDx/WG2%2B8oUOHDslisSgiIkJ33XWX9u3bp8cee0xBQUEaNmyYysvL5efn57K8n5%2BfKisr67y%2B9PR0paWluYzFx8crISHBkO3xJsHBAe4uAb%2BDHnkG%2BmSO0NDmDVqePjUdXh%2Bwli5dqg0bNujvf/%2B7unTpouuvv15DhgxRSEiIJKlbt2767rvv9Oqrr2rYsGHy9/evFaYqKyud52jVRVxcnGJjY13GrNZAFRefa/gGeQlfXx8FBweotLRM1dU17i4Hl0CPPAN9Mld938fpk/s0NBTXl1cHrCeffFKvvvqqli5dqltuuUWSZLFYnOHqVxEREdqzZ48kKTw8XEVFRS7zRUVFstlsdV5vWFhYrcOBdvsZVVXxorpYdXUN%2B6WRo0eegT6Zo6H7mD41HV57MDgtLU2vvfaann32WY0cOdI5vmLFCk2bNs3lsTk5OYqIiJAkRUZGKiMjwzl36tQpnTp1SpGRkabUDQAAPJ9XBqz8/Hw9//zz%2Butf/6ro6GjZ7XbnbciQIdq3b5/WrVunH374Qa%2B88oreeustTZ8%2BXZI0ceJEbd%2B%2BXVu3blVOTo7mzJmjwYMHq2PHjm7eKgAA4Cm88hDhhx9%2BqOrqaq1atUqrVq1ymfvmm2%2B0YsUKPffcc1qxYoXat2%2BvZ555RlFRUZKkqKgoLVq0SM8995x%2B/vlnDRgwQE8%2B%2BaQ7NgMAAHgoi8PhcLi7iKbAbj/j7hIaFavVR6GhzVVcfI7zERopeuQZPL1PI5Z/5u4SLsu7Dw6o13Ke3idPZrO1cMt6vfIQIQAAgDsRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsC6hIqKCs2fP18xMTEaOHCg1q9f7%2B6SAACAB7G6u4DGaMmSJTp48KA2bNigkydPau7cuWrXrp2GDx/u7tIAAIAHIGBd5Pz589q6davWrl2rHj16qEePHsrNzdWWLVsIWAAAoE44RHiRnJwcVVVVKSoqyjkWHR2trKws1dTUuLEyAADgKfgE6yJ2u12hoaHy8/NzjrVp00YVFRUqKSlRq1atfvc5CgsLZbfbXcas1kCFhYUZXq%2Bn8vX1cfmLxoceeQb6ZK4Ryz9zdwmX5YNHBrm7hCaLgHWRsrIyl3AlyXm/srKyTs%2BRnp6utLQ0l7GZM2dq1qxZxhTpBQoLC7Vhw4uKi4sjeDZS9MgzeHqf/rW4aZx6UVhYqPT0dI/tEy4fAesi/v7%2BtYLUr/ebNWtWp%2BeIi4tTbGysy5jNZjOmQC9ht9uVlpam2NhY3mwaKXrkGeiTZ6BPTQ8B6yLh4eEqLi5WVVWVrNZfdo/dblezZs0UHBxcp%2BcICwvjBQQAQBPGQfuLdO/eXVarVZmZmc6xjIwM9ezZUz4%2B7C4AAPD7SAwXCQgI0JgxY7RgwQJlZ2dr165dWr9%2BvaZMmeLu0gAAgIfwXbBgwQJ3F9HY9O/fX4cPH9YzzzyjL774Qn/72980fvx4d5fldZo3b66%2BffuqefPm7i4Fv4EeeQb65BnoU9NicTgcDncXAQAA4E04RAgAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABVM4HA5Nnz5db775pst4cXGxZs2apaioKMXGxmr79u0u84cPH9aECRMUGRmp8ePH6%2BDBg2aW3SQdPnxYXbt2dbmNGzfOOX/s2DFNmzZNvXv31q233qrdu3e7sdqmraKiQvPnz1dMTIwGDhyo9evXu7skSPrggw9qvYYSEhIk8Z7WlBCwcMXV1NQoJSVFn332Wa25pKQknTlzRunp6br//vv16KOPKjs7W5J0/vx53XvvvYqJidGbb76pqKgo3XfffTp//rzZm9Ck5OXlqXv37tq9e7fztm7dOkm/BOX4%2BHi1adNG27Zt0%2BjRozVz5kydPHnSzVU3TUuWLNHBgwe1YcMGPfHEE0pLS9N7773n7rKavLy8PA0ZMsTlNZSSksJ7WhNjdXcB8G4FBQV65JFHdPz4cQUHB7vM/fDDD/roo4/04YcfqkOHDurSpYsyMzP1yiuvqFevXtq5c6f8/f01Z84cWSwWJScn65NPPtF7773n8okKjJWfn6/OnTvLZrPVmtuzZ4%2BOHTum1157TYGBgercubO%2B%2BOILbdu2TbNmzXJDtU3X%2BfPntXXrVq1du1Y9evRQjx49lJubqy1btmj48OHuLq9Jy8/PV5cuXWq9ht544w3e05oQPsHCFXXo0CG1bdtW27ZtU4sWLVzmsrKy1LZtW3Xo0ME5Fh0dra%2B%2B%2Bso5Hx0dLYvFIkmyWCzq06ePMjMzzduAJig/P1%2BdOnW65FxWVpZuuOEGBQYGOseio6PpiRvk5OSoqqpKUVFRzrHo6GhlZWWppqbGjZXht15DvKc1LXyChSsqNjZWsbGxl5yz2%2B0KCwtzGWvdurUKCgqc89ddd12t%2Bdzc3CtTLCT98j%2BHmpoa/fnPf9aZM2d00003ac6cOQoKCvrNnp0%2BfdpN1TZddrtdoaGh8vPzc461adNGFRUVKikpUatWrdxYXdPlcDh09OhR7d69W6tXr1Z1dbWGDx%2BuhIQE3tOaGAIWGqS8vNwZiC5ms9lcPum4WFlZmcv/HCTJz89PlZWVdZpH/fxfPWvVqpWOHTumDh066KmnnlJpaalSU1M1e/ZsrVq1ip40Ir/VC0n0w41Onjzp7M3y5ct1/PhxpaSkqLy8nNdPE0PAQoNkZWVpypQpl5xbuXKlhg4d%2BpvL%2Bvv713pjqaysVLNmzeo0j/r5vZ7t2bNH/v7%2BuuqqqyRJTz/9tMaPH6%2BCggL5%2B/urpKTEZRl64h6/9fqQRD/cqH379tq7d69atmwpi8Wi7t27q6amRrNnz1bfvn15T2tCCFhokH79%2Bumbb76p17Lh4eEqKipyGSsqKnKeGPpb8xcfosLludyede7cWdIvX1gIDw9XXl6eyzw9cY/w8HAVFxerqqpKVusvb%2BV2u13NmjWr9YUSmCskJMTlfufOnVVRUSGbzcZ7WhPCSe5wm969e%2BvEiRMu5%2B9kZGSod%2B/ekqTIyEh99dVXcjgckn45t2H//v2KjIx0S71NQV5enqKionTs2DHn2Ndffy2r1aprrrlGkZGROnTokMrLy53zGRkZ9MQNunfvLqvV6nKCdEZGhnr27CkfH97a3eXTTz9Vv379VFZW5hz7%2BuuvFRIS4vwSD%2B9pTQOvQrhNx44dNXDgQM2ePVs5OTnaunWrduzYoTvvvFOSNHz4cJWWlmrx4sXKy8vT4sWLVVZWphEjRri5cu8VERGha665Ro899pi%2B/fZb/etf/9Jjjz2mCRMmqGXLlurbt6/atm2rpKQk5ebmas2aNcrOztZtt93m7tKbnICAAI0ZM0YLFixQdna2du3apfXr1//m4V%2BYIyoqSv7%2B/nr00Ud15MgRffzxx1qyZInuuece3tOaGIvj1ygNXGGxsbGaOXOmy/VefvzxRyUnJ%2Bvzzz%2BXzWbTQw89pFGjRjnns7Oz9cQTTyg/P19du3bVwoULdcMNN7ij/Cbj1KlTWrx4sfbu3SsfHx/9%2Bc9/1pw5c5wn537//fdKTk5WVlaWrrnmGs2fP19//OMf3Vx101RWVqYFCxbov//7vxUUFKQZM2Zo2rRp7i6rycvNzdVTTz2lzMxMNW/eXHfccYfi4%2BNlsVh4T2tCCFgAAAAG4xAhAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwf4fUpcg/7TgE1oAAAAASUVORK5CYII%3D\"/>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common343213121208415260\">\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">30.372637375976524</td>\n",
" <td class=\"number\">3</td>\n",
" <td class=\"number\">0.2%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">30.326202973510703</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">30.230244263793907</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">30.339678391601524</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">30.31968493726083</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">30.269297227050743</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">30.25213108935543</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">30.2778802958984</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">30.29055954694627</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">30.208529099609336</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"other\">\n",
" <td class=\"fillremaining\">Other values (1798)</td>\n",
" <td class=\"number\">1808</td>\n",
" <td class=\"number\">98.9%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme343213121208415260\">\n",
" <p class=\"h4\">Minimum 5 values</p>\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">-122.1622152448308</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">19.826736540791785</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">27.449466857528705</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">28.750047928337835</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">29.357088669921836</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" <p class=\"h4\">Maximum 5 values</p>\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">60.60645713042118</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">60.606883790490656</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">60.6076773671997</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">60.65110696044303</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">84.33334350585938</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" </div>\n",
"</div>\n",
"</div><div class=\"row variablerow\">\n",
" <div class=\"col-md-3 namecol\">\n",
" <p class=\"h4 pp-anchor\" id=\"pp_var_text\">text<br/>\n",
" <small>Boolean</small>\n",
" </p>\n",
" </div><div class=\"col-md-6\">\n",
" <div class=\"row\">\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
" <tr class=\"\">\n",
" <th>Distinct count</th>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Unique (%)</th>\n",
" <td>0.1%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (n)</th>\n",
" <td>0</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>0.55057</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
"</div>\n",
"<div class=\"col-md-3 collapse in\" id=\"minifreqtable2767181629562166414\">\n",
" <table class=\"mini freq\">\n",
" <tr class=\"\">\n",
" <th>1</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 55.1%\">\n",
" 1007\n",
" </div>\n",
" \n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <th>0</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:81%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 44.9%\">\n",
" 822\n",
" </div>\n",
" \n",
" </td>\n",
"</tr>\n",
" </table>\n",
"</div>\n",
"<div class=\"col-md-12 text-right\">\n",
" <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable2767181629562166414, #minifreqtable2767181629562166414\"\n",
" aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable2767181629562166414\">\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">1</td>\n",
" <td class=\"number\">1007</td>\n",
" <td class=\"number\">55.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0</td>\n",
" <td class=\"number\">822</td>\n",
" <td class=\"number\">44.9%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:81%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
"</div>\n",
"</div><div class=\"row variablerow\">\n",
" <div class=\"col-md-3 namecol\">\n",
" <p class=\"h4 pp-anchor\" id=\"pp_var_type\">type<br/>\n",
" <small>Numeric</small>\n",
" </p>\n",
" </div><div class=\"col-md-6\">\n",
" <div class=\"row\">\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
" <tr>\n",
" <th>Distinct count</th>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Unique (%)</th>\n",
" <td>0.3%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (n)</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Infinite (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Infinite (n)</th>\n",
" <td>0</td>\n",
" </tr>\n",
" </table>\n",
"\n",
" </div>\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
"\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>1.1361</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr class=\"alert\">\n",
" <th>Zeros (%)</th>\n",
" <td>54.7%</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
"</div>\n",
"<div class=\"col-md-3 collapse in\" id=\"minihistogram-2995118820956134995\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAAR5JREFUeJzt3bENglAUQFE1juQQ7mTtTg7hTt/emBspEIRzepJXcPNeaDiOMcYB%2BOi09ACwZuelB3h3uT0mP/O8X2eYBGwQSAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoGwul%2BwbYnfyf2/3Qbi5eUbTiwIu90gTLPXjWuDQBAIBCfWBkw9f7Zw%2BvyKDQJBIBCcWMxmC1%2B%2BbBAIAoFwHGOMpYeAtbJBIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAILwA%2BuMamcwxHuIAAAAASUVORK5CYII%3D\">\n",
"\n",
"</div>\n",
"<div class=\"col-md-12 text-right\">\n",
" <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-2995118820956134995,#minihistogram-2995118820956134995\"\n",
" aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"row collapse col-md-12\" id=\"descriptives-2995118820956134995\">\n",
" <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
" <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-2995118820956134995\"\n",
" aria-controls=\"quantiles-2995118820956134995\" role=\"tab\"\n",
" data-toggle=\"tab\">Statistics</a></li>\n",
" <li role=\"presentation\"><a href=\"#histogram-2995118820956134995\" aria-controls=\"histogram-2995118820956134995\"\n",
" role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
" <li role=\"presentation\"><a href=\"#common-2995118820956134995\" aria-controls=\"common-2995118820956134995\"\n",
" role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
" <li role=\"presentation\"><a href=\"#extreme-2995118820956134995\" aria-controls=\"extreme-2995118820956134995\"\n",
" role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
"\n",
" </ul>\n",
"\n",
" <div class=\"tab-content\">\n",
" <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-2995118820956134995\">\n",
" <div class=\"col-md-4 col-md-offset-1\">\n",
" <p class=\"h4\">Quantile statistics</p>\n",
" <table class=\"stats indent\">\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5-th percentile</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q1</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Median</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q3</th>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95-th percentile</th>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Range</th>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Interquartile range</th>\n",
" <td>2</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" <div class=\"col-md-4 col-md-offset-2\">\n",
" <p class=\"h4\">Descriptive statistics</p>\n",
" <table class=\"stats indent\">\n",
" <tr>\n",
" <th>Standard deviation</th>\n",
" <td>1.512</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Coef of variation</th>\n",
" <td>1.3308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Kurtosis</th>\n",
" <td>-0.16159</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>1.1361</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MAD</th>\n",
" <td>1.2757</td>\n",
" </tr>\n",
" <tr class=\"\">\n",
" <th>Skewness</th>\n",
" <td>1.0716</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sum</th>\n",
" <td>2078</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Variance</th>\n",
" <td>2.2862</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory size</th>\n",
" <td>14.4 KiB</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-2995118820956134995\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzt3Xt0FGWe//FPkjZXjAZIstwWdmAdEWMTEgEXUMhhFIRZMMhEdMCRWYMYyHFFwRAXkYsZCSBHw1V0RHAlchEFEc/gzuI4MorBBBm8BHDZuIDprImIaRKS9O8Pf/bZNjhGearKLt6vc3I8/TzVVd/6BuSTpyrVEYFAICAAAAAYE%2Bl0AQAAAG5DwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhnmcLuBC4fN9aXyfkZERat8%2BQZ9//pVaWgLG938ho7fWobfWor/WobfWsbK3yckXG91fW7GCFcYiIyMUERGhyMgIp0txHXprHXprLfprHXprHTf2loAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMCzsA1ZjY6NGjx6tt99%2BOzhWVVWl3/zmN%2Brbt69uvPFGvfnmmyHveeuttzR69Gh5vV5NmjRJVVVVIfPPPPOMhgwZovT0dM2ePVt%2Bv9%2BWcwEAAO4Q1gGroaFB9957ryorK4NjgUBAeXl56tixo7Zs2aIxY8Zo2rRpOn78uCTp%2BPHjysvLU3Z2tjZv3qz27dvr7rvvViDw9aP5X3vtNZWUlGjevHlat26dKioqVFxc7Mj5AQCA8BS2Aevw4cP61a9%2Bpf/%2B7/8OGf/LX/6iqqoqzZs3Tz179tSUKVPUt29fbdmyRZK0adMmXXnllZo8ebL%2B8R//UUVFRfqf//kfvfPOO5KkZ599VrfffruGDRumq666Sg8//LC2bNnCKhYAAGizsA1Y77zzjgYMGKDS0tKQ8YqKCl1xxRWKj48PjmVkZKi8vDw4n5mZGZyLi4tTnz59VF5erubmZr3//vsh83379tXZs2f14YcfWnxGAADALTxOF/Bj3Xrrrecc9/l8SklJCRnr0KGDTp48%2Bb3zp06dUkNDQ8i8x%2BPRpZdeGnx/W1RXV8vn84WMeTzxrY57vqKiIkP%2BC3PorXXorbXor3XorXXc2NuwDVjfxe/3Kzo6OmQsOjpajY2N3zt/5syZ4Ovven9blJaWqqSkJGQsLy9P%2Bfn5bd5HW2UW7jK%2BT6u8u3CE0yX8YImJcU6X4Fr01lr01zr01jpu6q3rAlZMTIzq6upCxhobGxUbGxuc/3ZYamxsVGJiomJiYoKvvz0fF9f2b3pOTo6ysrJCxjyeeNXWftXmfbRFuCV90%2BdvpaioSCUmxunUKb%2Bam1ucLsdV6K216K916K11rOxtUlKC0f21lesCVmpqqg4fPhwyVlNTE7w8l5qaqpqamlbzvXv31qWXXqqYmBjV1NSoZ8%2BekqSmpibV1dUpOTm5zTWkpKS0uhzo832ppqYL%2By9kOJ5/c3NLWNYdDuitteivdeitddzU2/BaAmkDr9erv/71r8HLfZJUVlYmr9cbnC8rKwvO%2Bf1%2BHTp0SF6vV5GRkUpLSwuZLy8vl8fj0eWXX27fSQAAgLDmuoDVv39/derUSQUFBaqsrNSaNWt04MAB3XzzzZKkcePGaf/%2B/VqzZo0qKytVUFCgrl27asCAAZK%2Bvnn%2Bqaee0u7du3XgwAHNnTtXv/rVr37QJUIAAHBhc13AioqK0ooVK%2BTz%2BZSdna2XX35Zy5cvV%2BfOnSVJXbt21RNPPKEtW7bo5ptvVl1dnZYvX66IiAhJ0qhRozRlyhTNmTNHkydP1lVXXaX777/fyVMCAABhJiLwzSPMYSmf70vj%2B/R4IvWLxX8yvl%2BrvHrPIKdLaDOPJ1JJSQmqrf3KNfcD/FTQW2vRX%2BvQW%2BtY2dvk5IuN7q%2BtXLeCBQAA4DQCFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDDXBqwTJ05oypQp6tevn7KysvTMM88E5w4dOqTx48fL6/Vq3LhxOnjwYMh7d%2BzYoeHDh8vr9SovL0%2Bff/65zdUDAIBw5tqAdc899yg%2BPl5bt27V7NmztWzZMv3hD39QfX29cnNzlZmZqa1btyo9PV1TpkxRfX29JOnAgQMqLCzUtGnTVFpaqlOnTqmgoMDhswEAAOHElQHriy%2B%2BUHl5uaZOnaoePXpo%2BPDhGjJkiPbu3audO3cqJiZGM2fOVM%2BePVVYWKiEhATt2rVLkrRhwwaNHDlSY8eO1eWXX65FixZpz549qqqqcvisAABAuHBlwIqNjVVcXJy2bt2qs2fP6ujRo9q/f7969%2B6tiooKZWRkKCIiQpIUERGhfv36qby8XJJUUVGhzMzM4L46deqkzp07q6KiwpFzAQAA4cfjdAFWiImJ0Zw5czR//nw9%2B%2Byzam5uVnZ2tsaPH6/XX39dvXr1Ctm%2BQ4cOqqyslCRVV1crJSWl1fzJkyfbfPzq6mr5fL6QMY8nvtV%2Bz1dUVHjlY48nfOr9prfh1uNwQG%2BtRX%2BtQ2%2Bt48beujJgSdKRI0c0bNgw3XHHHaqsrNT8%2BfN1zTXXyO/3Kzo6OmTb6OhoNTY2SpLOnDnzN%2BfborS0VCUlJSFjeXl5ys/P/5Fn4w5JSQlOl/CDJSbGOV2Ca9Fba9Ff69Bb67ipt64MWHv37tXmzZu1Z88excbGKi0tTZ999plWrlypbt26tQpLjY2Nio2NlfT16te55uPi2v5Nz8nJUVZWVsiYxxOv2tqvfuQZnVu4JX3T52%2BlqKhIJSbG6dQpv5qbW5wux1XorbXor3XorXWs7K1TP9y7MmAdPHhQ3bt3D4YmSbriiiu0atUqZWZmqqamJmT7mpqa4OW71NTUc84nJye3%2BfgpKSmtLgf6fF%2BqqenC/gsZjuff3NwSlnWHA3prLfprHXprHTf1NryWQNooJSVFx44dC1mJOnr0qLp27Sqv16v33ntPgUBAkhQIBLR//355vV5JktfrVVlZWfB9J06c0IkTJ4LzAAAA38eVASsrK0sXXXSRHnzwQX3yySf6j//4D61atUoTJ07UiBEjdOrUKS1cuFCHDx/WwoUL5ff7NXLkSEnShAkT9NJLL2nTpk368MMPNXPmTA0dOlTdunVz%2BKwAAEC4cGXAuvjii/XMM8/I5/Pp5ptvVlFRkaZOnaqcnBy1a9dOq1evVllZmbKzs1VRUaE1a9YoPj5ekpSenq558%2BZp%2BfLlmjBhgi655BIVFRU5fEYAACCcRAS%2BuVYGS/l8Xxrfp8cTqV8s/pPx/Vrl1XsGOV1Cm3k8kUpKSlBt7VeuuR/gp4LeWov%2BWofeWsfK3iYnX2x0f23lyhUsAAAAJxGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwzPaANX78eG3cuFFffvml3YcGAACwhe0Ba%2BDAgVq1apUGDx6se%2B%2B9V2%2B%2B%2BaYCgYDdZQAAAFjG9oA1Y8YM/fGPf9SKFSsUFRWl6dOna%2BjQoXrsscf0ySef2F0OAACAcR4nDhoREaFBgwZp0KBB8vv9Wr9%2BvVasWKE1a9aoX79%2Buv3223X99dc7URoAAMB5cyRgSVJ1dbVefvllvfzyy/r444/Vr18/3XTTTTp58qQefPBB7du3T4WFhU6VBwAA8KPZfonwpZde0uTJkzVs2DCtW7dO1113nXbt2qV///d/1/jx4zV9%2BnTNnDlTmzdvPq/jNDY26uGHH9bVV1%2Btf/qnf9LSpUuD93odOnRI48ePl9fr1bhx43Tw4MGQ9%2B7YsUPDhw%2BX1%2BtVXl6ePv/88/OqBQAAXFhsD1iFhYVKSEjQ8uXLtWfPHs2YMUM9evQI2eZnP/uZfv3rX5/XcRYsWKC33npLTz31lJYsWaIXXnhBpaWlqq%2BvV25urjIzM7V161alp6drypQpqq%2BvlyQdOHBAhYWFmjZtmkpLS3Xq1CkVFBScVy0AAODCYvslwjfeeENJSUmqq6tTZOTX%2Be7AgQPq06ePoqKiJEn9%2BvVTv379fvQx6urqtGXLFv3%2B97/XVVddJUmaPHmyKioq5PF4FBMTo5kzZyoiIkKFhYV64403tGvXLmVnZ2vDhg0aOXKkxo4dK0latGiRhg0bpqqqKnXr1u08zx4AAFwIbF/BOn36tEaMGKEnn3wyOJabm6sxY8boxIkTRo5RVlamdu3aqX///iHHKCoqUkVFhTIyMhQRESHp6xvu%2B/Xrp/LycklSRUWFMjMzg%2B/r1KmTOnfurIqKCiO1AQAA97N9BeuRRx5R9%2B7ddccddwTHdu7cqVmzZqmoqEiPP/74eR%2BjqqpKXbp00bZt27Rq1SqdPXtW2dnZmjp1qnw%2Bn3r16hWyfYcOHVRZWSnp65vvU1JSWs2fPHmyzcevrq6Wz%2BcLGfN44lvt93xFRYXXg/g9nvCp95vehluPwwG9tRb9tQ69tY4be2t7wHr33Xf1wgsvKDk5OTjWvn17zZw5U7fddpuRY9TX1%2BvYsWPauHGjioqK5PP5NGfOHMXFxcnv9ys6Ojpk%2B%2BjoaDU2NkqSzpw58zfn26K0tFQlJSUhY3l5ecrPz/%2BRZ%2BQOSUkJTpfwgyUmxjldgmvRW2vRX%2BvQW%2Bu4qbe2ByyPx6NTp061Gvf7/cae6O7xeHT69GktWbJEXbp0kSQdP35czz//vLp3794qLDU2Nio2NlaSFBMTc875uLi2f9NzcnKUlZX1rZriVVv71Y85ne8Ubknf9PlbKSoqUomJcTp1yq/m5hany3EVemst%2BmsdemsdK3vr1A/3tgesa6%2B9VgsWLNDSpUv193//95K%2BvqRXVFSkIUOGGDlGcnKyYmJiguFKkv7hH/5BJ06cUP/%2B/VVTUxOyfU1NTfDyXWpq6jnn/%2B%2BK2/dJSUlpdTnQ5/tSTU0X9l/IcDz/5uaWsKw7HNBba9Ff69Bb67ipt7YvgcyaNUuNjY264YYbNGDAAA0YMEDXX3%2B9zp49a%2BxxCF6vVw0NDSEfvXP06FF16dJFXq9X7733XnC1LBAIaP/%2B/fJ6vcH3lpWVBd934sQJnThxIjgPAADwfWxfwerQoYNefPFFvfXWW6qsrJTH41GvXr10zTXXBH%2Bz73z97Gc/09ChQ1VQUKC5c%2BfK5/NpzZo1mjp1qkaMGKElS5Zo4cKFuuWWW7Rx40b5/X6NHDlSkjRhwgRNnDhRffv2VVpamhYuXKihQ4fyiAYAANBmjnxUTlRUlIYMGWLskuC5LF68WPPnz9eECRMUFxen2267TRMnTlRERIRWr16thx56SC%2B88IJ%2B/vOfa82aNYqPj5ckpaena968eXr88cf1xRdfaNCgQZo/f75ldQIAAPeJCJi6s7yNfD6fli1bpv379%2Bvs2bOtbmx//fXX7SzHNj7fl8b36fFE6heL/2R8v1Z59Z5BTpfQZh5PpJKSElRb%2B5Vr7gf4qaC31qK/1qG31rGyt8nJFxvdX1vZvoL1b//2bzp48KBGjRqliy925qQBAACsZHvA%2Bstf/qK1a9eGPC0dAADATWz/LcL4%2BHh16NDB7sMCAADYxvaANWbMGK1du1bNzc12HxoAAMAWtl8irKur044dO/Sf//mf6tatW6uPpXn22WftLgkAAMAoRx7TMHr0aCcOCwAAYAvbA1ZRUZHdhwQAALCVI58WXF1drZKSEs2YMUP/%2B7//q127duno0aNOlAIAAGCc7QHr2LFj%2BuUvf6kXX3xRr732murr67Vz506NGzdOFRUVdpcDAABgnO0B63e/%2B52GDx%2Bu3bt366KLLpIkLV26VFlZWVq8eLHd5QAAABhne8Dav3%2B/7rjjjpAPdvZ4PLr77rt16NAhu8sBAAAwzvaA1dLSopaW1p8z9NVXXykqKsrucgAAAIyzPWANHjxYq1evDglZdXV1Ki4u1sCBA%2B0uBwAAwDjbA9YDDzyggwcPavDgwWpoaNDUqVM1bNgwffrpp5o1a5bd5QAAABhn%2B3OwUlNTtW3bNu3YsUMffPCBWlpaNGHCBI0ZM0bt2rWzuxwAAADjHHmSe1xcnMaPH%2B/EoQEAACxne8CaNGnS35znswgBAEC4sz1gdenSJeR1U1OTjh07po8//li333673eUAAAAY95P5LMLly5fr5MmTNlcDAABgniOfRXguY8aM0auvvup0GQAAAOftJxOw3nvvPR40CgAAXOEncZP76dOn9dFHH%2BnWW2%2B1uxwAAADjbA9YnTt3DvkcQkm66KKL9Otf/1r//M//bHc5AAAAxtkesH73u9/ZfUgAAABb2R6w9u3b1%2BZtr776agsrAQAAsIbtAWvixInBS4SBQCA4/u2xiIgIffDBB3aXBwAAcN5sD1irVq3SggULdP/996t///6Kjo7W%2B%2B%2B/r3nz5ummm27SjTfeaHdJAAAARtn%2BmIaioiLNmTNHN9xwg5KSkpSQkKCBAwdq3rx5ev7559WlS5fgFwAAQDiyPWBVV1efMzy1a9dOtbW1dpcDAABgnO0Bq2/fvlq6dKlOnz4dHKurq1NxcbGuueYau8sBAAAwzvZ7sB588EFNmjRJ1157rXr06KFAIKD/%2Bq//UnJysp599lm7ywEAADDO9oDVs2dP7dy5Uzt27NCRI0ckSbfddptGjRqluLg4u8sBAAAwzvaAJUmXXHKJxo8fr08//VTdunWT9PXT3AEAANzA9nuwAoGAFi9erKuvvlqjR4/WyZMnNWvWLBUWFurs2bN2lwMAAGCc7QFr/fr1eumll/TQQw8pOjpakjR8%2BHDt3r1bJSUldpcDAABgnO0Bq7S0VHPmzFF2dnbw6e033nijFixYoO3bt9tdDgAAgHG2B6xPP/1UvXv3bjV%2B%2BeWXy%2Bfz2V0OAACAcbYHrC5duuj9999vNf7GG28Eb3gHAAAIZ7b/FuFvf/tbPfzww/L5fAoEAtq7d69KS0u1fv16PfDAA3aXAwAAYJztAWvcuHFqamrSypUrdebMGc2ZM0ft27fXPffcowkTJthdDgAAgHG2B6wdO3ZoxIgRysnJ0eeff65AIKAOHTrYXQYAAIBlbL8Ha968ecGb2du3b0%2B4AgAArmN7wOrRo4c%2B/vhjuw8LAABgG9svEV5%2B%2BeW67777tHbtWvXo0UMxMTEh80VFRXaXBAAAYJTtAeuTTz5RRkaGJPHcKwAA4Eq2BKxFixZp2rRpio%2BP1/r16%2B04JAAAgGNsuQfr97//vfx%2Bf8hYbm6uqqur7Tg8AACArWwJWIFAoNXYvn371NDQYMfhAQAAbGX7bxECAAC4nesDVm5ubshH8Bw6dEjjx4%2BX1%2BvVuHHjdPDgwZDtd%2BzYoeHDh8vr9SovL0%2Bff/653SUDAIAwZ1vAioiIsOtQQa%2B88or27NkTfF1fX6/c3FxlZmZq69atSk9P15QpU1RfXy9JOnDggAoLCzVt2jSVlpbq1KlTKigosL1uAAAQ3mx7TMOCBQtCnnl19uxZFRcXKyEhIWQ7U8/Bqqur06JFi5SWlhYc27lzp2JiYjRz5kxFRESosLBQb7zxhnbt2qXs7Gxt2LBBI0eO1NixYyV9/duPw4YNU1VVlbp162akLgAA4H62BKyrr7661TOv0tPTVVtbq9raWkuO%2Beijj2rMmDEhv6lYUVGhjIyM4GpaRESE%2BvXrp/LycmVnZ6uiokJ33nlncPtOnTqpc%2BfOqqioIGABAIA2syVg2f3sq7179%2Brdd9/V9u3bNXfu3OC4z%2BdTr169Qrbt0KGDKisrJUnV1dVKSUlpNX/y5MkfdPzq6upWgdLjiW%2B17/MVFRVet9B5POFT7ze9DbcehwN6ay36ax16ax039tb2J7lbraGhQQ899JDmzJmj2NjYkDm/36/o6OiQsejoaDU2NkqSzpw58zfn26q0tFQlJSUhY3l5ecrPz/9B%2B3GbpKSE79/oJyYxMc7pElyL3lqL/lqH3lrHTb11XcAqKSnRlVdeqSFDhrSai4mJaRWWGhsbg0Hsu%2Bbj4n7YNzwnJ0dZWVkhYx5PvGprv/pB%2B/k%2B4Zb0TZ%2B/laKiIpWYGKdTp/xqbm5xuhxXobfWor/WobfWsbK3Tv1w77qA9corr6impkbp6emSFAxMr732mkaPHq2ampqQ7WtqaoKX7lJTU885n5yc/INqSElJaXU50Of7Uk1NF/ZfyHA8/%2BbmlrCsOxzQW2vRX%2BvQW%2Bu4qbeuC1jr169XU1NT8PXixYslSffdd5/27dunJ598UoFAQBEREQoEAtq/f7/uuusuSZLX61VZWZmys7MlSSdOnNCJEyfk9XrtPxEAABC2XBewunTpEvL6m8dAdO/eXR06dNCSJUu0cOFC3XLLLdq4caP8fr9GjhwpSZowYYImTpyovn37Ki0tTQsXLtTQoUP5DUIAAPCDhNdNPOepXbt2Wr16dXCVqqKiQmvWrFF8fLykrx8dMW/ePC1fvlwTJkzQJZdcYuy5XAAA4MIRETjXJzHDOJ/vS%2BP79Hgi9YvFfzK%2BX6u8es8gp0toM48nUklJCaqt/co19wP8VNBba9Ff69Bb61jZ2%2BTki43ur60uqBUsAAAAOxCwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhHqcLAHDhySzc5XQJP8ir9wxyugQAYYYVLAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwnoMFfAee1QQA%2BLFYwQIAADDMtQHrs88%2BU35%2Bvvr3768hQ4aoqKhIDQ0NkqSqqir95je/Ud%2B%2BfXXjjTfqzTffDHnvW2%2B9pdGjR8vr9WrSpEmqqqpy4hQAAECYcmXACgQCys/Pl9/v13PPPafHHntMf/zjH7Vs2TIFAgHl5eWpY8eO2rJli8aMGaNp06bp%2BPHjkqTjx48rLy9P2dnZ2rx5s9q3b6%2B7775bgUDA4bMCAADhwpX3YB09elTl5eX685//rI4dO0qS8vPz9eijj%2Braa69VVVWVNm7cqPj4ePXs2VN79%2B7Vli1bNH36dG3atElXXnmlJk%2BeLEkqKirSoEGD9M4772jAgAFOnhYAAAgTrlzBSk5O1tq1a4Ph6hunT59WRUWFrrjiCsXHxwfHMzIyVF5eLkmqqKhQZmZmcC4uLk59%2BvQJzgMAAHwfV65gJSYmasiQIcHXLS0t2rBhgwYOHCifz6eUlJSQ7Tt06KCTJ09K0vfOt0V1dbV8Pl/ImMcT32q/5ysqKrzysccTPvWGW2%2Bl8OkvvbXWN/0Nxz7/1NFb67ixt64MWN9WXFysQ4cOafPmzXrmmWcUHR0dMh8dHa3GxkZJkt/v/5vzbVFaWqqSkpKQsby8POXn5//IM3CHpKQEp0twNfprnXDsbWJinNMluBa9tY6beuv6gFVcXKx169bpscce02WXXaaYmBjV1dWFbNPY2KjY2FhJUkxMTKsw1djYqMTExDYfMycnR1lZWSFjHk%2B8amu/%2BpFncW7hlvRNn7%2BVwq23Uvj0l95aKyoqUomJcTp1yq/m5hany3EVemsdK3vr1A9Irg5Y8%2BfP1/PPP6/i4mLdcMMNkqTU1FQdPnw4ZLuamprg5bvU1FTV1NS0mu/du3ebj5uSktLqcqDP96Wami7sv5AX%2Bvlbjf5aJxx729zcEpZ1hwN6ax039Tb8fpRso5KSEm3cuFFLly7VqFGjguNer1d//etfdebMmeBYWVmZvF5vcL6srCw45/f7dejQoeA8AADA93FlwDpy5IhWrFihO%2B%2B8UxkZGfL5fMGv/v37q1OnTiooKFBlZaXWrFmjAwcO6Oabb5YkjRs3Tvv379eaNWtUWVmpgoICde3alUc0AACANnPlJcLXX39dzc3NWrlypVauXBky99FHH2nFihUqLCxUdna2unfvruXLl6tz586SpK5du%2BqJJ57QI488ouXLlys9PV3Lly9XRESEE6cCAPgJ4TNK0Vb%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%2B%2B/ffuo7q6Wj6fL2TM44lXSkqK0VqjosIrH3s84VNvuPVWCp/%2B0ltrhVt/6S3%2BLzf1mID1LX6/PyRcSQq%2BbmxsbNM%2BSktLVVJSEjI2bdo0TZ8%2B3UyR/191dbVu/7tK5eTkGA9vFzp6ax16ay36ax16a53q6mo98cQTruqte6KiITExMa2C1DevY2Nj27SPnJwcbd26NeQrJyfHeK0%2Bn08lJSWtVstw/uitdeitteivdeitddzYW1awviU1NVW1tbVqamqSx/N1e3w%2Bn2JjY5WYmNimfaSkpLgmgQMAgB%2BOFaxv6d27tzwej8rLy4NjZWVlSktLU2Qk7QIAAN%2BPxPAtcXFxGjt2rObOnasDBw5o9%2B7devrppzVp0iSnSwMAAGEiau7cuXOdLuKnZuDAgTp06JCWLFmivXv36q677tK4ceOcLuucEhIS1L9/fyUkJDhdiuvQW%2BvQW2vRX%2BvQW%2Bu4rbcRgUAg4HQRAAAAbsIlQgAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBKww1dDQoNmzZyszM1ODBw/W008/7XRJrtPY2KjRo0fr7bffdroU1/jss8%2BUn5%2Bv/v37a8iQISoqKlJDQ4PTZbnCsWPH9Nvf/lbp6ekaOnSo1q5d63RJrpSbm6sHHnjA6TJc5Q9/%2BIN%2B/vOfh3zl5%2Bc7XdZ58zhdAH6cRYsW6eDBg1q3bp2OHz%2BuWbNmqXPnzhoxYoTTpblCQ0ODZsyYocrKSqdLcY1AIKD8/HwlJibqueee0xdffKHZs2crMjJSs2bNcrq8sNbS0qLc3FylpaXpxRdf1LFjx3TvvfcqNTVVv/zlL50uzzVeeeUV7dmzRzfddJPTpbjK4cOHNWzYMM2fPz84FhMT42BFZhCwwlB9fb02bdqkJ598Un369FGfPn1UWVmp5557joBlwOHDhzVjxgzxKVJmHT16VOXl5frzn/%2Bsjh07SpLy8/P16KOPErDOU01NjXr37q25c%2BeqXbt26tGjh6655hqVlZURsAypq6vTokWLlJaW5nQprnPkyBFddtllSk5OdroUo7hEGIY%2B/PBDNTU1KT09PTiWkZGhiooKtbS0OFiZO7zzzjsaMGCASktLnS7FVZKTk7V27dpguPrG6dOnHarIPVJSUrRs2TK1a9dOgUBAZWVl2rdvn/r37%2B90aa7x6KOPasyYMerVq5fTpbjOkSNH1KNHD6fLMI4VrDDk8/mUlJSk6Ojo4FjHjh3V0NCguro6tW/f3sHqwt%2Btt97qdAmulJiYqCFDhgRft7S0aMOGDRo4cKCDVblPVlaWjh8/rmHDhumGG25wuhxX2Lt3r959911t375dc%2BfOdbocVwkEAvrkk0/05ptvavXq1WpubtaIESOUn58f8m9cOGIFKwz5/f5Wf/C%2Bed3Y2OhEScAPVlxcrEOHDulf//VfnS7FVR5//HGtWrVKH3zwgYqKipwuJ%2Bw1NDTooYce0pw5cxQbG%2Bt0Oa5z/Pjx4L9py5Yt06xZs7R9%2B3YtWrTI6dLOGytYYSgmJqZVkPrmNf8DQDgoLi7WunXr9Nhjj%2Bmyyy5zuhxX%2BeYeoYaGBt13332aOXNm2K8EOKmkpERXXnllyOorzOnSpYvefvttXXLJJYqIiFDv3r3V0tKi%2B%2B%2B/XwUFBYqKinK6xB%2BNgBWGUlNTVVtbq6amJnk8X38LfT6fYmNjlZiY6HB1wN82f/58Pf/88youLuYSliE1NTUqLy/X8OHDg2O9evXS2bNndfr0aW4bOA%2BvvPKKampqgve8fvPD7Guvvab33nvPydJc49JLLw153bNnTzU0NOiLL74I6z%2B7XCIMQ71795bH41F5eXlwrKysTGlpaYqM5FuKn66SkhJt3LhRS5cu1ahRo5wuxzU%2B/fRTTZs2TZ999llw7ODBg2rfvn1Y/wP1U7B%2B/Xpt375d27Zt07Zt25SVlaWsrCxt27bN6dJc4U9/%2BpMGDBggv98fHPvggw906aWXhv2fXf41DkNxcXEaO3as5s6dqwMHDmj37t16%2BumnNWnSJKdLA77TkSNHtGLFCt15553KyMiQz%2BcLfuH8pKWlqU%2BfPpo9e7YOHz6sPXv2qLi4WHfddZfTpYW9Ll26qHv37sGvhIQEJSQkqHv37k6X5grp6emKiYnRgw8%2BqKNHj2rPnj1atGiR/uVf/sXp0s4blwjDVEFBgebOnavbb79d7dq10/Tp03X99dc7XRbwnV5//XU1Nzdr5cqVWrlyZcjcRx995FBV7hAVFaUVK1Zo/vz5ysnJUVxcnCZOnMgPXfjJa9eunZ566ik98sgjGjdunBISEnTLLbe4ImBFBHiaIgAAgFFcIgQAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAw/4fSmKiLIvcxz0AAAAASUVORK5CYII%3D\"/>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-2995118820956134995\">\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">0</td>\n",
" <td class=\"number\">1000</td>\n",
" <td class=\"number\">54.7%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2</td>\n",
" <td class=\"number\">248</td>\n",
" <td class=\"number\">13.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:25%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1</td>\n",
" <td class=\"number\">224</td>\n",
" <td class=\"number\">12.2%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:23%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">4</td>\n",
" <td class=\"number\">185</td>\n",
" <td class=\"number\">10.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">3</td>\n",
" <td class=\"number\">121</td>\n",
" <td class=\"number\">6.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">5</td>\n",
" <td class=\"number\">51</td>\n",
" <td class=\"number\">2.8%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme-2995118820956134995\">\n",
" <p class=\"h4\">Minimum 5 values</p>\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">0</td>\n",
" <td class=\"number\">1000</td>\n",
" <td class=\"number\">54.7%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1</td>\n",
" <td class=\"number\">224</td>\n",
" <td class=\"number\">12.2%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:23%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2</td>\n",
" <td class=\"number\">248</td>\n",
" <td class=\"number\">13.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:25%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">3</td>\n",
" <td class=\"number\">121</td>\n",
" <td class=\"number\">6.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">4</td>\n",
" <td class=\"number\">185</td>\n",
" <td class=\"number\">10.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" <p class=\"h4\">Maximum 5 values</p>\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">1</td>\n",
" <td class=\"number\">224</td>\n",
" <td class=\"number\">12.2%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:90%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2</td>\n",
" <td class=\"number\">248</td>\n",
" <td class=\"number\">13.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">3</td>\n",
" <td class=\"number\">121</td>\n",
" <td class=\"number\">6.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:49%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">4</td>\n",
" <td class=\"number\">185</td>\n",
" <td class=\"number\">10.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:74%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">5</td>\n",
" <td class=\"number\">51</td>\n",
" <td class=\"number\">2.8%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:21%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" </div>\n",
"</div>\n",
"</div>\n",
" <div class=\"row headerrow highlight\">\n",
" <h1>Correlations</h1>\n",
" </div>\n",
" <div class=\"row variablerow\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkoAAAH%2BCAYAAABjkCFnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzs3XtYlHX%2B//HXcAZR8QAqaZ5KMNYUJc2yNLLStoO2pmmJ52xXsaOV2kEz11Lb1qRvB8s2D21kubaZq67VWv4qbUExTUxFTU05eIQ4y/z%2BIGedYGT0Zrxnbp%2BP6%2BIS7vuez7znI8jL9%2Be%2B77HZ7Xa7AAAAUIWf2QUAAAB4K4ISAACACwQlAAAAFwhKAAAALhCUAAAAXCAoAQAAuEBQAgAAcIGgBAAA4AJBCQAAwIUAswsALgYHDhzQjTfe6HJ/YGCgwsPD1apVK/Xq1Uv33XefwsPDL2CFAIDq2HgLE8DzzgxK7dq1qxKCysrKdPToUR08eFCSFB0drb/97W9q2bLlBa8VAPA/BCXgAjgzKC1cuFDdunWr9rgNGzboT3/6kwoKChQfH6/333//QpYJAPgNzlECvEi3bt30yCOPSJI2bdqkrVu3mlwRAFzcCEqAl7npppscn2dkZJhYCQCAk7kBL1O3bl3H57/88ovTvu%2B%2B%2B06LFi1Senq6jh8/rnr16qlTp04aOnSounfvXu14J0%2Be1Pvvv69169Zp165dKigoUGhoqC699FLdcMMNSkpKUv369Z0eExMTI0n6f//v/%2BmFF17QZ599Jj8/P8XFxWnBggUKCAhQRkaG3nnnHaWlpeno0aMKCwtT69at1bt3bw0ZMqTak9GLi4v1/vvva%2BXKldq1a5fKysrUpEkTXXPNNRo5cqRatWrldPyGDRuUlJSkjh07asmSJVq0aJGWL1%2Buffv2KTAwUFdccYWSkpLUu3fv85lqAKgRQQnwMvv27XN83rRpU8fnc%2BbM0fz58yVJ9evXV7t27ZSTk6PPPvtMn332mcaMGaPHHnvMaay9e/dq%2BPDhOnTokAICAnTppZfqkksu0cGDB7Vt2zZt27ZNn376qT766CPVqVOnSi3JycnatGmT2rVrp6NHjyoyMlIBAQFas2aNHn74YZWXl6tBgwaKiYnRL7/8oi1btigjI0P//Oc/9f777zuFpcOHD2vEiBHKysqSJLVq1Up16tTR7t27lZqaquXLl%2BuFF17QrbfeWqWOsrIyjRkzRt98840aNGigtm3bas%2BePdqwYYM2bNigqVOnavDgwcYmHgCqYwfgcfv377e3a9fO3q5dO/u333571mMff/xxe7t27exxcXH23Nxcu91ut//973%2B3t2vXzp6QkGD/%2BOOPHcdWVFTYP/30U3unTp3s7dq1s3/wwQdOY9133332du3a2QcOHGjPzs52etw//vEPe2xsrL1du3b2xYsXOz3udK2/%2B93v7Bs3brTb7Xb7qVOn7MeOHbOfOnXKfu2119rbtWtnnz9/vr28vNzxuK1bt9qvvvpqe7t27exvvPGGY3t5ebn9zjvvtLdr185%2Byy232Ldv3%2B7Yl5%2Bfb58yZYrjNW/evNmx79tvv3XU0qlTJ/s///lPx76TJ0/ahw0bZm/Xrp29a9eu9rKysrPOKwCcD85RArxAcXGxfvjhBz377LNavny5JGn48OFq3LixSktLNW/ePEnSn//8Z91xxx2Ox9lsNt16662aOHGiJGnevHkqLy%2BXJOXl5Wnnzp2SpOnTpysqKsrpcf369VPXrl0lSTt27Ki2rr59%2B%2Bqqq66SJPn5%2BSkiIkJHjx5Vbm6uJGngwIHy9/d3HB8XF6eHH35YvXv3VkREhGP7qlWrtH37dgUHB2v%2B/PmKjY117AsPD9fzzz%2Bv6667TmVlZXr55ZerrWXChAm6/fbbHV/XrVvX8bqPHz%2BuPXv2uJhdADh/LL0BF1hSUlKNx9x999168MEHJVVe/ZaXl6c6deq4vGnlHXfcoenTpys7O1s//PCDrrzySjVu3FjffvutiouLFRISUuUxp06dciyNFRcXVztuly5dqmxr0KCB6tevrxMnTuixxx7TH//4R3Xs2FF%2BfpX/7xo4cKAGDhzo9JjPP/9ckpSYmKgWLVpU%2B1wjRozQV199pY0bNyo/P9/pXC1JuuGGG6o8pm3bto7PT548We24AGAEQQm4wH57w0mbzabg4GBFREQoJiZGvXv31mWXXebYf7orVFZWpnvvvdfluP7%2B/qqoqFBWVpauvPJKx/aQkBAdPHhQ33//vX766Sft379fu3fv1vbt21VYWChJqqioqHbMyMjIap/nscce09NPP61169Zp3bp1ql%2B/vrp166Zrr71WvXr1cjq3SpKj2xMXF%2Bey/tP7Tp06pX379ul3v/ud0/4mTZpUecyZAfDUqVMuxwaA80VQAi6wp556yuUNJ6uTn58vSSotLVV6enqNx5/ZWcnKytKzzz6rjRs3Oh0THh6uhIQE5eTkKDMz0%2BVY1XWipMquUcuWLfXOO%2B/o66%2B/1okTJ7RmzRqtWbNGNptNPXv21LRp0xyBqaCgQJKqdIl%2BW9Npv73aT6p8m5ezsXPvXAAeQFACvFxoaKikyo7LsmXL3H7ckSNHdN999%2BnIkSOKjo7WwIEDdcUVV6hNmzZq3ry5bDabHn300bMGpbPp1q2bunXrpuLiYv33v//Vd999p6%2B%2B%2Bkrbtm3Tf/7zH40dO1bLly%2BXzWZzXFF3OvRV58yAV90VeABgBoIS4OVat24tqfJS//LycgUEVP2xtdvt2rBhg5o2baro6GgFBQXpo48%2B0pEjRxQREaGPPvpIDRs2rPK47Ozsc66ntLRU%2B/fvV0FBgTp27KiQkBD16NFDPXr00MMPP6xPP/1UjzzyiDIzM7Vjxw7FxsaqTZs2%2BuGHH7Rt2zaX437//feSKpciL7300nOuCwA8gaveAC931VVXqW7duvrll19cdpQ%2B%2BeQTDRs2TH379tXhw4clVb6/nFT5BrvVhaRdu3Zp8%2BbNks7t/J4vv/xSt956q%2B6//36VlpZW2X/NNdc4Pj897ukTsT///HPt37%2B/2nEXLlwoSerUqZPq1avndj0A4EkEJcDLhYWF6f7775ckzZgxQx999JHTyddr167Vs88%2BK6nycv7T3Zg2bdpIkjIzM7V69WrH8Xa7XV9%2B%2BaVGjx6tsrIySVJRUZHb9Vx//fVq0KCBjh8/rieeeELHjx937CsoKNCLL74oSWrWrJkuv/xySVKfPn0UExOjkpISjRkzxmm5r6CgQE8//bTWr1%2BvgICAKjfNBAAzsfQG%2BIAxY8Zo//79%2BuCDDzR58mTNnj1bzZs3V3Z2tnJyciRVXso/Y8YMx2MGDBig9957T/v27dOECRN0ySWXqEGDBjp06JCOHDmiwMBAde3aVRs3bjynJbigoCDNnTtXo0aN0sqVK/XZZ5/p0ksvlZ%2Bfn/bv36/CwkKFhobqhRdeUFBQkCQpICBA//d//6cxY8YoKytLd955p9OduU/fwmDatGlKSEio3ckDAAMISoAPsNlsmj59um655Ra9//772rx5s%2BMGjp06ddJtt92mQYMGOYKJVHkV2Ycffqj58%2Bfriy%2B%2B0IEDB5SXl6emTZuqV69eGjZsmMLCwtS7d29lZmbq559/VnR0tFv1dOvWTUuXLnW819vevXsVEBCgpk2bqkePHho5cmSVsZo3b66PPvpIf//737Vq1Srt3r1bhw8fVrNmzXTdddfp3nvvrfJebwBgNpuda2oBAACqxTlKAAAALhCUAAAAXCAoAQAAU5SWluq2227Thg0bXB7zww8/6O6771bHjh31hz/8QVu3bnXav2LFCvXu3VsdO3bUuHHjdPTo0VqtkaAEAAAuuJKSEj3yyCOO97OsTmFhoe6//34lJCRo2bJlio%2BP19ixYx3vU7llyxZNmTJF48ePV2pqqk6ePKlJkybVap0EJQAAcEHt2rVLAwcO1E8//XTW41auXKng4GA9/vjjatu2raZMmaI6depo1apVkqTFixerb9%2B%2B6tevn2JjYzVr1iytW7fO5Y1tzwdBCQAAXFAbN25Ut27dlJqaetbjMjIy1KVLF9lsNkmVt0rp3Lmz410FMjIynO691qxZM0VHRysjI6PWauU%2BSgAA4Jzk5OQoNzfXaVtkZKSioqLcevyQIUPcOi43N1eXXXaZ07ZGjRo5lutycnKqPGejRo0cb%2BVUG6wVlH5NnF6tdWtp507p8sulPXvMrqZmv64DezWbTQoOlkpKJC%2B/LdipoFCzS3Cbn590xjuleK2CArMrqJnNJtWtK%2BXne/23qCSp/vF9ZpdQs4AAKTpa%2Bvlnqbzc7Gpq1rKlOc/rod%2BLqa%2B8opSUFKdt48ePV3Jycq0%2BT1FRkdONdKXKdwc4/T6TxcXFZ91fG6wVlHxBRITk71/5J2qPL4RkH8OU1h6b7X8fvhCUfIKfX%2BWE%2BnEGiRkGDRqkxMREp22RkZG1/jzBwcFVQk9paalCQkLOuj80tPb%2BU0pQAgDAqjwUJKOiotxeZjOiSZMmysvLc9qWl5fneG5X%2B2sztBHFAQCwKj8/z3xcIB07dtSmTZt0%2Bt3W7Ha70tPT1bFjR8f%2BtLQ0x/GHDh3SoUOHHPtrA0EJAAB4jdzcXBUXF0uS%2BvTpo5MnT2rGjBnatWuXZsyYoaKiIvXt21eSNHjwYH388cdaunSpMjMz9fjjj6tXr15q0aJFrdVDUAIAwKp8sKPUo0cPrVy5UpIUHh6uN954Q2lpabrrrruUkZGhN998U2FhYZKk%2BPh4Pffcc3r11Vc1ePBg1a9fXzNnzqzVemx2u4VOLfSFs0/j46X0dKlzZ2nTJrOrqZmvXPUWEiIVF3v9mbK%2BdNWbv7906pTZVdTMF6568/P731VvvnAloU9c9RYUJDVrJh06JNXiFU4eY9ZVb8HBnhm3pMQz43ohTuYGAMCquCrQMIISAABWRVAyjBkEAABwgY4SAABWRUfJMGYQAADABTpKAABYFR0lwwhKAABYFUHJMGYQAADABTpKAABYFR0lw5hBAAAAF%2BgoAQBgVXSUDCMoAQBgVQQlw5hBAAAAF%2BgoAQBgVXSUDGMGAQAAXKCjBACAVdFRMoygBACAVRGUDGMGAQAAXKCjBACAVdFRMowZBAAAcIGOEgAAVkVHyTCCEgAAVkVQMowZBAAAcIGOEgAAVkVHyTBmEAAAwAU6SgAAWBUdJcMISgAAWBVByTBmEAAAwAU6SgAAWBUdJcOYQQAAABcuWFA6cOCAYmJidODAgSr7li1bpsTExAtVCgAAFwc/P898XEQu2NJbs2bNtH79ejVs2PBCPSUAABe3iyzUeMIFC0r%2B/v6KjIy8UE8HAABgmClLb9nZ2Ro9erQ6deqk/v3766effrpQZQAAcPFg6c0wU656e/DBBxUWFqalS5dq586dmjJliho0aHBOY%2BTk5Cg3N9dpW2Tr1oqKiKjNUmtfbKzzn97OZjO7gpqdrtEXakWt84V/s0/X6Au1SpKCgsyuoGYBAc5/erPSUrMrgAEX/DusqKhImzZt0hdffKHo6Ghdfvnl2rp1q1atWnVO46SmpiolJcVp2/gHH1Tygw/WZrme8957ZldgPcHBZldQI3%2BzCzhH/j5QcN26Zlfgvjp1zK7ATXWbmV2B%2B3zhlI59%2B8x7bp9J597rggeldevWKSIiQtHR0Y5tHTp0OOegNGjQoCpXykXefrv07ru1UqfHxMZWhqQhQ6TMTLOrqdnXX5tdQc1stsqQVFIi2e1mV3NWpwJDzC7Bbf7%2B0qlTZldRs8JCsyuomZ9fZUj65ReposLsampWt%2BCQ2SXULCCgMiTl5krl5WZX470ISoaZ0rO0/%2BaXWWBg4DmPERUVpaioKOeNe/YYKevCysyUNm0yu4qaeXnwcGK3%2B1a9qBW%2BEDxOq6jwkXp9aamovNy36oXPueBR84YbbtCJEye074xW5Pbt2y90GQAAWB8ncxt2wV9tcHCwunfvrsmTJyszM1Nr167V4sWLL3QZAABYH0HJMFNe7csvv6wGDRronnvu0V/%2B8hcNHTrUjDIAAADO6oKdo9S8eXPt2LHD8XWVK9bGj79QpQAAcHHw0u5PSUmJpk2bpjVr1igkJEQjR47UyJEjqxw3dOhQbdy4scr2u%2B66SzNnztSJEyfUtWtXp30RERHasGFDrdXqAzegAAAAVjJr1ixt3bpV7777rn7%2B%2BWc98cQTio6OVp8%2BfZyOmzdvnsrKyhxfZ2Rk6KGHHtKQIUMkSbt27VJERIRWrFjhOMavlsMhQQkAAKvywo5SYWGhli5dqvnz5ysuLk5xcXHauXOnlixZUiUoRZxxE%2BlTp07p5Zdf1ujRo9WhQwdJUlZWllq3bu3Rt0jzvhkEAAC1wwtP5s7MzFR5ebni4%2BMd27p06aKMjAxVnOX%2BGcuWLdOJEyc0ZswYx7Zdu3apVatWhuqpCR0lAABwTqp9G7HIyKr3N6xGbm6uGjRooKAz3iqncePGKikp0fHjx9WwYcMqj7Hb7XrrrbeUlJSkOmfc4n737t0qLy/XgAEDlJ2drYSEBE2aNMmtOtxFUAIAwKo8tPRW7duIjR%2Bv5OTkGh9bVFTkFJIkOb4udXHz0A0bNujw4cMaOHCg0/asrCw1bNhQkyZNkt1u18svv6wHHnhAS5culX8tvQcTQQkAAJyTat9GzM3zhIKDg6sEotNfh4RU/zZPq1ev1vXXX%2B90zpIkffrpp7LZbI7HvfLKK%2BrRo4cyMjLUuXNnt%2BqpCUEJAACr8lBHqdq3EXNTkyZNdOzYMZWXlysgoDKG5ObmKiQkRPXq1av2MV999VW1txEKDQ11%2BrpRo0aKiIhQdnb2edVWHU7mBgDAqrzwZO727dsrICBAmzdvdmxLS0tThw4dqr20/%2BjRo9q/f7%2B6dOnitL2goEBXXXWVvv32W8e27OxsHTt2TG3atDFU45kISgAA4IIJDQ1Vv379NHXqVG3ZskVr167VggULlJSUJKmyu1RcXOw4fufOnQoODlbz5s2dxgkPD1eXLl00c%2BZMbdmyRdu2bdPDDz%2Bs6667TjExMbVWL0EJAACr8sKOkiRNmjRJcXFxGjZsmKZNm6bk5GTdfPPNkqQePXpo5cqVjmOPHDmievXqyWazVRnnxRdf1BVXXKH7779fQ4cO1SWXXKI5c%2BYYru9MNrvdbq/VEc1UzSR6nfh4KT1d6txZ2rTJ7GpqVlhodgU1s9mkkBCpuFjy8m/nU0GhNR/kJfz9pVOnzK6iZgUFZldQMz8/qW5dKT9fOsttYrxG/eP7zC6hZkFBUrNm0qFDkosrpbxKy5bmPO8tt3hm3NWrPTOuF%2BJkbgAArMoL78ztawhKAABYFUHJMGYQAADABTpKAABYFR0lw5hBAAAAF%2BgoAQBgVXSUDCMoAQBgVQQlw5hBAAAAF%2BgoAQBgVXSUDGMGAQAAXKCjBACAVdFRMoygBACAVRGUDGMGAQAAXKCjBACAVdFRMowZBAAAcIGOEgAAVkVHyTCCEgAAVkVQMowZBAAAcIGOEgAAVkVHyTBmEAAAwAU6SgAAWBUdJcMISgAAWBVByTBmEAAAwAU6SgAAWBUdJcOsFZQKC82uoGY2W%2BWfX38t2e3m1uKOsDCzK6hZfLyUni5dc420aZPZ1ZyV/7x5ZpfgnshIadAg%2BX%2BYKuXmml3NWdUfNcrsEmpms0kKUd3AYp/4ubdf2tLsEtxik2Rv2szsMtxiM7sAnDdrBSUAAPA/dJQMIygBAGBVBCXDmEEAAAAX6CgBAGBVdJQMIygBAGBVBCXDmEEAAAAX6CgBAGBVdJQMYwYBAABcoKMEAIBV0VEyjKAEAIBVEZQMYwYBAABcoKMEAIBV0VEyjBkEAABwgY4SAABWRUfJMIISAABWRVAyjBkEAABwgaAEAIBV%2Bfl55sOgkpISTZ48WQkJCerRo4cWLFjg8tg//vGPiomJcfr44osvHPv/9re/6brrrlN8fLwmT56soqIiw/WdiaU3AABwQc2aNUtbt27Vu%2B%2B%2Bq59//llPPPGEoqOj1adPnyrH7t69W7Nnz1b37t0d2%2BrXry9JWr16tVJSUjR79mw1atRIkyZN0uzZs/XMM8/UWq0EJQAArMoLz1EqLCzU0qVLNX/%2BfMXFxSkuLk47d%2B7UkiVLqgSl0tJSHThwQB06dFBkZGSVsRYuXKhhw4bphhtukCRNmzZNo0aN0sSJExUaGlor9XrfDAIAgNrhhUtvmZmZKi8vV3x8vGNbly5dlJGRoYqKCqdjs7KyZLPZ1KJFiyrjnDp1St9//70SEhIc2zp16qSysjJlZmYaqvFMdJQAAMA5ycnJUW5urtO2yMhIRUVF1fjY3NxcNWjQQEFBQY5tjRs3VklJiY4fP66GDRs6tmdlZSk8PFyPP/64Nm7cqKZNmyo5OVk9e/bUyZMnVVJS4vScAQEBioiI0OHDh2vhVf46Zq2NBAAAvIuHlt5SU1OVkpLitG38%2BPFKTk6u8bFFRUVOIUmS4%2BvS0lKn7VlZWSouLlaPHj10//3369///rf%2B%2BMc/KjU1VY0bN3Z67Jlj/XYcIwhKAADgnAwaNEiJiYlO26o7h6g6wcHBVYLM6a9DQkKctv/pT3/S0KFDHSdvx8bGatu2bfrggw/08MMPOz32zLFq6/wkiaAEAIB1eaijFBUV5dYyW3WaNGmiY8eOqby8XAEBlTEkNzdXISEhqlevntOxfn5%2BjpB0Wps2bbRr1y5FREQoODhYeXl5atu2rSSpvLxcx48fdzu0uYOTuQEAsCovPJm7ffv2CggI0ObNmx3b0tLS1KFDB/n9Zuwnn3xSkyZNctqWmZmpNm3ayM/PTx06dFBaWppj3%2BbNmxUQEKDY2FhDNZ6JoAQAAC6Y0NBQ9evXT1OnTtWWLVu0du1aLViwQElJSZIqu0vFxcWSpMTERH3yySdavny59u3bp5SUFKWlpem%2B%2B%2B6TJA0ZMkRvv/221q5dqy1btmjq1KkaOHAgS28AAMANXngfJUmaNGmSpk6dqmHDhik8PFzJycm6%2BeabJUk9evTQzJkzddddd%2Bnmm2/Ws88%2Bq9dee00///yzLr/8cr311ltq3ry5JOn3v/%2B9Dh48qGeeeUalpaW6%2BeabNXHixFqt1Wa32%2B21OqKZavm25R5hs0khIVJxseQLUx8WZnYFNYuPl9LTpc6dpU2bzK7m7ObNM7sC90RGSoMGSamp0m8uAfY6o0aZXUHNfOzn3h5Se/8b9ySbzSemU1JlraaYOdMz4/5mOczK6CgBAGBVXtpR8iUEJQAArIqgZBgzCAAA4AIdJQAArIqOkmHMIAAAgAt0lAAAsCo6SoYRlAAAsCqCkmHMIAAAgAt0lAAAsCo6SoZ5bAYPHDigmJgYHThwoMZjv/nmG%2B3evdtTpQAAAJwXr4iaw4cPV15entllAABgLX5%2Bnvm4iLD0BgCAVV1kocYTLsgM7tq1S6NGjVJ8fLw6dOigIUOGOJbaEhMTJUlJSUma5ytvGAoAAC4KHu8o2e12PfDAA7rmmmv07LPPKj8/X88995xmz56t119/XR9%2B%2BKG6d%2B%2BuefPm6dprr3V73JycHOX%2B5l3NI%2BvVU1RkZG2/hNp1%2Bi2kTXsr6XMUH292BTWLjXX%2B05t5%2B/fnaQ0aOP/pzXzhZ8nXfu5hHXSUDPN4UCouLtY999yjIUOGKCwsTJLUv39/vfXWW5Kkhg0bSpLq16%2BvOnXquD1uamqqUlJSnLaNHzdOyRMm1FLlHhYcbHYF7klPN7sC9733ntkVWM/NN5tdgbX4yM%2B9L8U5X8iedrvZFcAIjwel0NBQDR48WMuXL9fWrVuVlZWlH374QY0bNzY07qBBgxzLdqdF1qsnFRcbGtfjbLbKfyxLSnzjp%2Beaa8yuoGaxsZUhacgQKTPT7GrO7oknzK7APQ0aVIakNWukY8fMrubs7rzT7Apq5mM/9/bgELNLcIvN5hPTaS46SoZ5PCgVFhZqzJgxatCggRITE3XbbbcpKytLCxYsMDRuVFSUoqKinDcWFfnOT43d7hu1btpkdgXuy8z0/np/s1zs9Y4d8/6afeHn6DRf%2BbmHdRCUDPN4UNq4caNycnL0ySefKCCg8unWr18vO/9YAAAAL%2BfxqBkXF6fCwkKtXbtWBw4c0NKlS7VkyRKVlpY6jgkLC9POnTuVn5/v6XIAALh4cB8lwzz%2BaiMjIzVu3DhNmzZNd9xxh5YtW6ZnnnlGR44cUXZ2tiRp6NChmjVrFrcHAAAAXsVmt9IaWFGR2RXUzGaTQkIqTzr3han/9UpFrxYfX3l1XufO3n%2BOkq/8ZyAyUho0SEpN9f5zlEaNMruCmvnYz709JNTsEtziSydzm3Z13rvvembcYcM8M64X4s7cAABY1UW2TOYJzCAAAIALdJQAALAqOkqGEZQAALAqgpJhzCAAAIALdJQAALAqOkqGMYMAAAAu0FECAMCq6CgZRlACAMCqCEqGMYMAAAAu0FECAMCq6CgZxgwCAAC4QEcJAACroqNkGEEJAACrIigZxgwCAAC4QEcJAACroqNkGDMIAADgAh0lAACsio6SYQQlAACsiqBkGDMIAADgAkEJAACr8vPzzIdBJSUlmjx5shISEtSjRw8tWLDA5bH/%2Bc9/dOeddyo%2BPl633367PvvsM6f9CQkJiomJcfr45ZdfDNd4GktvAADggpo1a5a2bt2qd999Vz///LOeeOIJRUdHq0%2BfPk7HZWZmavz48Xr88cfVs2dPrV%2B/Xg8%2B%2BKA%2B/PBDxcbGKjs7W/n5%2BVq7dq1CQkIcjwsLC6u1WglKAABYlReeo1RYWKilS5dq/vz5iouLU1xcnHbu3KklS5ZUCUorVqzQ1VdfraSkJElSy5Yt9fnnn%2Btf//qXYmNjtXv3bkVGRqpFixYeq5egBACAVXkoKOXk5Cg3N9dpW2RkpKKiomp8bGZmpsrLyxUfH%2B/Y1qVLF73%2B%2BuuqqKiQ3xk19%2B/fX2VlZVXGyM/PlyTt2rVLrVu3Pt%2BX4RaCEgAAOCepqalKSUlx2jZ%2B/HglJyfX%2BNjc3Fw1aNBAQUFBjm2NGzdWSUmJjh8/roYNGzq2t23b1umxO3fu1DfffKN77rlHkrR7924VFRVp6NCh2rNnj9q3b6/JkyfXangiKAE4Xss7AAAgAElEQVQAYFUe6igNGjRIiYmJTtsiIyPdemxRUZFTSJLk%2BLq0tNTl444ePark5GR17txZN954oyQpKytLJ06c0COPPKLw8HDNnz9fw4cP16effqrw8PBzeUkuEZQAAMA5iYqKcmuZrTrBwcFVAtHpr888IftMeXl5GjFihOx2u1555RXH8tzbb7%2BtsrIy1alTR5I0Z84c9ezZU1988YVuv/3286rvtwhKAABYlReezN2kSRMdO3ZM5eXlCgiojCG5ubkKCQlRvXr1qhyfnZ3tOJl74cKFTktzQUFBTt2p4OBgNW/eXNnZ2bVWr/fNIAAAqB1eeB%2Bl9u3bKyAgQJs3b3ZsS0tLU4cOHZxO5JYqr5AbPXq0/Pz8tHjxYjVp0sSxz263q3fv3lq2bJnT8fv27VObNm0M1XgmOkoAAOCCCQ0NVb9%2B/TR16lT9%2Bc9/Vk5OjhYsWKCZM2dKquwu1a1bVyEhIXrjjTf0008/adGiRY59UuUSXd26ddWrVy/NmzdPl1xyiRo2bKi5c%2BeqadOm6tmzZ63VS1ACAMCqvHDpTZImTZqkqVOnatiwYQoPD1dycrJuvvlmSVKPHj00c%2BZM3XXXXVq9erWKi4t19913Oz2%2Bf//%2BeuGFFzRx4kQFBATo0UcfVUFBga6%2B%2Bmq9%2Beab8vf3r7VabXa73V5ro5mtqMjsCmpms0khIVJxseQLU1%2BLdzf1mPh4KT1d6txZ2rTJ7GrObt48sytwT2SkNGiQlJoq/eZeKV5n1CizK6iZj/3c20NCzS7BLTabT0ynpMpaTfHNN54Zt3t3z4zrhegoAQBgVV7aUfIlBCUAAKyKoGSYpZbeTp0yuwL3%2BPv7UK2vpdR8kNl8aZnIjbvWegUfWs4sKvT%2Bf8J8bOVNoeI0hloXatJy5nffeWbcq67yzLheiI4SAABWRUfJMGYQAADABTpKAABYFR0lwwhKAABYFUHJMGYQAADABTpKAABYFR0lw5hBAAAAF%2BgoAQBgVXSUDCMoAQBgVQQlw5hBAAAAF%2BgoAQBgVXSUDCMoAQBgVQQlw5hBAAAAF%2BgoAQBgVXSUDGMGAQAAXKCjBACAVdFRMoygBACAVRGUDGMGAQAAXKCjBACAVdFRMowZBAAAcIGOEgAAVkVHyTCCEgAAVkVQMowZBAAAcIGOEgAAVkVHyTBmEAAAwAU6SgAAWBUdJcMISgAAWBVByTBmEAAAwAU6SgAAWBUdJcOYQQAAABfoKAEAYFV0lAwjKAEAYFUEJcOYQQAAABfoKAEAYFV0lAxjBgEAAFygowQAgFXRUTKMoAQAgFURlAxjBgEAAFyo1aB04MABxcTE6MCBA7U5LAAAOB9%2Bfp75MKikpESTJ09WQkKCevTooQULFrg89ocfftDdd9%2Btjh076g9/%2BIO2bt3qtH/FihXq3bu3OnbsqHHjxuno0aOG6zsTHSUAAHBBzZo1S1u3btW7776rZ599VikpKVq1alWV4woLC3X//fcrISFBy5YtU3x8vMaOHavCwkJJ0pYtWzRlyhSNHz9eqampOnnypCZNmlSrtRKUAACwKi/sKBUWFmrp0qWaMmWK4uLidNNNN2n06NFasmRJlWNXrlyp4OBgPf7442rbtq2mTJmiOnXqOELV4sWL1bdvX/Xr10%2BxsbGaNWuW1q1bp/379xuq8UweO5k7JiZGs2bN0vz587V3715deeWVevHFF9WiRQtJ0tatW/Xcc88pMzNTV1xxhbp3767//ve/WrRokVvj5%2BTkKDc312lbo0aRioyMqvXXclGLjDS7gpo1aOD8pzeLjze7AvfExjr/6cVsNrMrqNnpGn2h1ko%2BUKgvTardbt5ze%2Bhk7up%2BB0dGRioqqubfwZmZmSovL1f8Gf8edunSRa%2B//roqKirkd0bNGRkZ6tKli2y//j3bbDZ17txZmzdv1l133aWMjAyNGTPGcXyzZs0UHR2tjIwMR94wyqNXvc2bN0/Tp09Xo0aN9OCDD%2Bqvf/2rXnrpJeXn52v06NHq27evXnjhBX399deaOXOmOnfu7PbYqampSklJcdo2btx4TZiQXNsvwyP8/c2uwE2DBpldgftuvtnsCmrmS/MpSe%2B9Z3YFNQoxu4BzEBxsdgXu8qFZ9YVJLSoyu4JaV93v4PHjxys5uebfwbm5uWrQoIGCgoIc2xo3bqySkhIdP35cDRs2dDr2sssuc3p8o0aNtHPnTkmVge234axRo0Y6fPjwOb8mVzwalEaMGKHu3btLkgYPHuxoq61cuVJhYWF66qmn5O/vrzZt2ig9Pb1KOj2bQYMGKTEx0Wlbo0aROnWq9ur3FH9/%2BUSdkuT/YarZJdSsQYPKkLRmjXTsmNnVnN2LL5pdgXtiYytD0pAhUmam2dWcVfHX6WaXUCObrfL3eUmJuc0Fd4Wo2OwSauZrk2oSu4e6g9X9Do50cwWiqKjIKSRJcnxdWlrq1rGnjysuLj7r/trg0aDUsmVLx%2Bfh4eEqKyuTJO3YsUNxcXHyP6Ot0qlTJ/373/92e%2ByoqKgqKdJXwodPOYfwarpjx7y/3k2bzK7g3GRmen3NvvQ70m73lXp9oshKvjOpllLd72B3BQcHVwkyp78OCQlx69jTx7naHxoael61VcejQSkwMLDa7f7%2B/rL/5hv7t18DAABjKio8M66R00eaNGmiY8eOqby8XAEBlTEkNzdXISEhqlevXpVj8/LynLbl5eU5Qpqr/e52t9xhylVvl19%2BubZv366KM/4Gt23bZkYpAABYVkWFZz6MaN%2B%2BvQICArR582bHtrS0NHXo0MHpRG5J6tixozZt2uRoptjtdqWnp6tjx46O/WlpaY7jDx06pEOHDjn21wZTgtLvf/97FRQUaObMmdqzZ48%2B%2BOADrVy50oxSAADABRQaGqp%2B/fpp6tSp2rJli9auXasFCxYoKSlJUmV3qbi48jy5Pn366OTJk5oxY4Z27dqlGTNmqKioSH379pVUef7zxx9/rKVLlyozM1OPP/64evXqVWtXvEkmBaU6dero9ddf13fffafbb79d//jHP3T77bdXOSELAACcP2/sKEnSpEmTFBcXp2HDhmnatGlKTk7Wzb9eudyjRw9H8yQ8PFxvvPGG0tLSHLcDePPNNxUWFiZJio%2BP13PPPadXX31VgwcPVv369TVz5kzjBZ7BZjfh5KD9%2B/crOztbCQkJjm3Tpk1TUVGRXnjhhfMe11dO5vapq95eS6n5ILNFRlZedp%2Ba6v0nc7tx6axXiI%2BX0tOlzp29/mTuokLvP7/RZpNCQqTiYt847zhUPnA5u89Nau2dXHwuSko8M64v3JWhtpjSUSooKNCIESO0atUqHTx4UGvWrNHHH3%2BsPn36mFEOAACW5K0dJV/i0aveXGnfvr2eeeYZ/eUvf9GhQ4cUHR2tSZMmqVevXmaUAwCAJV1socYTTAlKknT33Xfr7rvvNuvpAQAAamRaUAIAAJ5FR8k4ghIAABZFUDLOlJO5AQAAfAEdJQAALIqOknF0lAAAAFygowQAgEXRUTKOoAQAgEURlIxj6Q0AAMAFOkoAAFgUHSXj6CgBAAC4QEcJAACLoqNkHEEJAACLIigZx9IbAACAC3SUAACwKDpKxtFRAgAAcIGOEgAAFkVHyTiCEgAAFkVQMo6lNwAAABfoKAEAYFF0lIyjowQAAOACHSUAACyKjpJxBCUAACyKoGQcS28AAAAu0FECAMCi6CgZR0cJAADABTpKAABYFB0l4whKAABYFEHJOJbeAAAAXKCjBACARdFRMo6OEgAAgAt0lAAAsCg6SsbZ7Ha73ewiasuJE2ZXUDM/P6luXSk/3ze%2BgesHFZldQs1sNikkRCoulrz827lIoWaX4BYfmlKFhtnMLqFm8fFSerrUubO0aZPZ1dSorNTL/9J/FRgolZWZXYV7AgPNed60NM%2BM26WLZ8b1Riy9AQAAuMDSGwAAFuULKxfejo4SAACAC3SUAACwKDpKxhGUAACwKIKScSy9AQAAuEBQAgDAoioqPPPhSXa7XXPmzNHVV1%2Btrl27atasWao4y5Nu3rxZ99xzj%2BLj43XLLbdo6dKlTvvvuOMOxcTEOH38%2BOOPbtfD0hsAAPAa77zzjlasWKGUlBSVl5dr4sSJatSokUaNGlXl2NzcXI0ZM0aDBw/WCy%2B8oG3btmnSpEmKjIxUr169dOrUKe3du1eLFy9Wq1atHI9r0KCB2/UQlAAAsChfPEdp4cKFmjBhghISEiRJjz32mObOnVttUFq7dq0aN26sRx55RJLUqlUrbdiwQZ988ol69eqlAwcOqKysTFdeeaWCg4PPqx6CEgAAFuWpoJSTk6Pc3FynbZGRkYqKijI0bnZ2tg4dOqSrrrrKsa1Lly46ePCgcnJyqox/3XXXqX379lXGKSgokCTt2rVLzZo1O%2B%2BQJHGOEgAAOEepqam66667nD5SU1MNj3s6fJ0ZiBo3bixJOnz4cJXjmzdvrk6dOjm%2BPnLkiD799FN1795dkrR7924FBgZq7Nixuvbaa3Xfffdpy5Yt51QTHSUAACzKUx2lQYMGKTEx0WlbZGSkW48tLi5WdnZ2tfsKCwslSUFBQY5tpz8vLS2tcdzk5GQ1btxYgwYNkiTt2bNHJ06c0N13360JEybogw8%2B0LBhw7Ry5Uo1a9bMrXoJSgAA4JxERUWd9zJbRkaGkpKSqt03ceJESZWh6PRy2emAFBrq%2Bk3Ff/nlF/3pT3/S3r179d577zmOnT59uoqLixUeHi5Jmjp1qtLT0/Xxxx/rgQcecKteghIAABbljSdzd%2BvWTTt27Kh2X3Z2tmbPnq3c3Fw1b95c0v%2BW41x1rAoKCjR69Gj99NNPevfdd52ubgsICHCEJEmy2Wxq06aNy45WdThHCQAAi/K1%2Byg1adJE0dHRSktLc2xLS0tTdHR0tR2siooKjR8/XgcOHNCiRYt0%2BeWXO%2B0fOnSoUlJSnI7fsWOH2rRp43ZNdJQAAIDXGDx4sObMmaOmTZtKkl566SWNHDnSsf/o0aMKDg5WnTp19OGHH2rDhg167bXXVK9ePUf3KTAwUBEREUpMTNSrr76q9u3bq3Xr1lq4cKHy8/PVv39/t%2BshKAEAYFHeuPRWk1GjRunIkSMaP368/P39NWDAAA0fPtyxf8CAAerfv7%2BSk5O1evVqVVRUaOzYsU5jdO3aVYsWLdLw4cNVUlKi559/Xnl5eerYsaPeeecdp%2BW4mtjsdru9tl6c2U6cMLuCmvn5SXXrSvn5vvENXD%2BoyOwSamazSSEhUnGx5OXfzkVyfTKiN/GhKVVomM3sEmoWHy%2Blp0udO0ubNpldTY3KSr38L/1XgYFSWZnZVbgnMNCc5/3Xvzwzbt%2B%2BnhnXG3GOEgAAgAssvQEAYFG%2BsHLh7egoAQAAuEBHCQAAi6KjZBxBCQAAiyIoGcfSGwAAgAt0lAAAsCg6SsbRUQIAAHCBjhIAABZFR8k4ghIAABZFUDKOpTcAAAAX6CgBAGBRdJSMo6MEAADgAh0lAAAsio6ScQQlAAAsiqBkHEtvAAAALtBRAgDAougoGUdHCQAAwAU6SgAAWBQdJeMMdZS2b9%2Bu9PR0QwXY7XYtWbLE0BgAAKCqigrPfFxMDAWlcePGae/evYYK%2BO677/Tcc88ZGgMAAMATTF96s9vtZpcAAIAlXWzdH084747S0KFDdfDgQU2aNElPPvmkfvzxRw0dOlRXXnmlbrnlFsdymt1u13333aekpCTHY1955RX16tVLO3bscGyPiYnRhg0bDL4cAACA2nPeHaV58%2Bbpzjvv1MiRI3XXXXfptttuU//%2B/TV9%2BnRlZWXp6aefVp06ddSvXz9NmzZN/fr10%2BrVq9W2bVu9%2Beabeu2113TZZZdp3rx5Sk5O1vr161W/fn23nz8nJ0e5ublO20JDIxUZGXW%2BL%2BmC8PNz/tPr2WxmV1Cz0zX6QK3eX2ElH5pSKT7e7ApqFhvr/CdwgdBRMu68g1JERIT8/f1Vt25drVq1So0aNdJDDz0kSWrVqpUOHjyohQsXql%2B/fmrbtq3Gjh2rWbNmqXHjxrrjjjt03XXXSZIjHEVGRp7T86empiolJcVp27hx4zVhQvL5vqQLqk4dsytwV4jZBbgvONjsCmrkQ7MpySemVDJ4QckF9d57ZlfglkCzCzgHgT5QbFmZec9NUDKuVs5RysrKUmZmpuLP%2BJ/dqVOn5O/v7/j6/vvv1yeffKI9e/borbfeMvycgwYNUmJiotO20NBI5ecbHtqj/PwqQ9Ivv/jGN3DdwGKzS6iZzVb5G72kRPLyc96KfSQq%2BdCUKuSazmaXULPY2MqQNGSIlJlpdjU1KtvgG%2BEzMNDcEIKLQ60EpfLycnXv3l3PPPOMy2OOHj2q3NxclZSUaPv27eratauh54yKilJUlPMy24kTvhE%2BJB%2B6xNLbf0ueyW73%2Bnq9u7qqfGBKpU2bzK7AfZmZvlUvfJ5P/J7xcrVypkzr1q21Z88eNW/eXC1btlTLli21efNmLVq0yHHM9OnT1bVrV40ePVpPP/20SktLJUk2nzgJAgAAXIwMBaWwsDBlZWWpZ8%2BeKi4u1jPPPKPdu3dr3bp1mjFjhho1aiRJWrNmjb766itNmTJFY8eOVUlJiV599VVJUmhoqCRp69atKikpMfhyAADAadxw0jhDQWnw4MFasmSJZs6cqfnz52vv3r3q16%2BfnnrqKd17770aO3asCgoKNH36dI0ZM0YtWrRQWFiYnnzySb399tv68ccfFRMTo2uvvVb33HOP1q1bV1uvCwCAix5ByTib3UJ3fDxxwuwKaubnJ9WtK%2BXn%2B8Y3W/2gIrNLqJnNJoWESMXFXn9CTZFCzS7BLT40pQoN84Hl%2B/j4yqvzOnf2iXOUykq9/C/9V750MrdZV%2BfNm%2BeZcZN94wLzWmH6nbkBAIBn%2BMJ/yL2dr9z2EAAA4IKjowQAgEXRUTKOoAQAgEURlIxj6Q0AAMAFOkoAAFgUHSXj6CgBAAC4QEcJAACLoqNkHEEJAACLIigZx9IbAADwGna7XXPmzNHVV1%2Btrl27atasWao4S%2BJ7/vnnFRMT4/SxePFix/4VK1aod%2B/e6tixo8aNG6ejR4%2BeUz10lAAAsChf7Ci98847WrFihVJSUlReXq6JEyeqUaNGGjVqVLXH7969W48%2B%2Bqj69%2B/v2BYeHi5J2rJli6ZMmaJp06YpNjZWM2bM0KRJk/TGG2%2B4XQ8dJQAALMoX3xR34cKFmjBhghISEnT11Vfrscce05IlS1wev3v3bl1xxRWKjIx0fISGVr6v5uLFi9W3b1/169dPsbGxmjVrltatW6f9%2B/e7XQ9BCQAAeIXs7GwdOnRIV111lWNbly5ddPDgQeXk5FQ5vqCgQNnZ2WrVqlW142VkZCghIcHxdbNmzRQdHa2MjAy3a2LpDQAAi/JU9ycnJ0e5ublO2yIjIxUVFWVo3NNjnjlO48aNJUmHDx%2BuMv7u3btls9n0%2Buuv68svv1RERIRGjBjhWIbLycmp8phGjRrp8OHDbtdEUAIAAOckNTVVKSkpTtvGjx%2Bv5OTkGh9bXFys7OzsavcVFhZKkoKCghzbTn9eWlpa5fisrCzZbDa1adNG9913n7777js9/fTTCg8P10033aTi4mKnsU6PV91YrhCUAACwKE91lAYNGqTExESnbZGRkW49NiMjQ0lJSdXumzhxoqTKUBQcHOz4XJLjvKMz9evXTzfccIMiIiIkSbGxsdq7d6/%2B/ve/66abblJwcHCVUFRaWlrtWK4QlAAAsChPBaWoqKjzXmbr1q2bduzYUe2%2B7OxszZ49W7m5uWrevLmk/y3HVRfEbDabIySd1qZNG3377beSpCZNmigvL89pf15entuhTuJkbgAA4CWaNGmi6OhopaWlObalpaUpOjq62mA2d%2B5cDR8%2B3GlbZmam2rRpI0nq2LGj01iHDh3SoUOH1LFjR7droqMEAIBF%2BeJ9lAYPHqw5c%2BaoadOmkqSXXnpJI0eOdOw/evSogoODVadOHd1www1688039fbbb%2Bumm27S%2BvXrtXz5ci1cuNAx1tChQ9WpUyd16NBBM2bMUK9evdSiRQu36yEoAQAArzFq1CgdOXJE48ePl7%2B/vwYMGODUNRowYID69%2B%2Bv5ORkXXnllZo7d65eeeUVzZ07V5dccoleeuklxcfHS5Li4%2BP13HPP6ZVXXtGJEyd07bXXavr06edUj81ut9tr8wWa6cQJsyuomZ%2BfVLeulJ/vG0m/flCR2SXUzGaTQkKk4mLJy7%2Bdi%2BT%2BCYRm8qEpVWiYzewSahYfL6WnS507S5s2mV1NjcpKvfwv/VeBgVJZmdlVuCcw0JznnTTJM%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%2BVVdBHvyySf1j3/8o8r2bt26aeHChZKkhIQE5efnO%2B1PT09XnTp13KqHoAQAgEX5YkfpnXfe0YoVK5SSkqLy8nJNnDhRjRo10qhRo6ocO2XKFD366KOOrw8ePKihQ4cqKSlJkpSdna38/HytXbtWISEhjuPCwsLcroegBACARfliUFq4cKEmTJighIQESdJjjz2muXPnVhuU6tatq7p16zq%2BfvLJJ9WnTx/17t1bkrR7925FRkaqRYsW510PQQkAAHiF7OxsHTp0SFdddZVjW5cuXXTw4EHl5OQoKirK5WO/%2BeYbfffdd1q9erVj265du9S6dWtDNRGUAACwKE91lHJycpSbm%2Bu0LTIy8qxBxh2nxzxznMaNG0uSDh8%2BfNbx33zzTfXv31/NmjVzbNu9e7eKioo0dOhQ7dmzR%2B3bt9fkyZPPKTwRlAAAwDlJTU1VSkqK07bx48crOTm5xscWFxcrOzu72n2FhYWSpKCgIMe205%2BXlpa6HHP//v369ttvNWXKFKftWVlZOnHihB555BGFh4dr/vz5Gj58uD799FOFh4fXWKtEUAIAwLI81VEaNGiQEhMTnbZFRka69diMjAzHyda/NXHiREmVoSg4ONjxuSSFhoa6HHP16tVq3769LrvsMqftb7/9tsrKyhxXuM2ZM0c9e/bUF198odtvv92teglKAABYlKeCUlRU1Hkvs3Xr1k07duyodl92drZmz56t3NxcNW/eXNL/luPOFsS%2B%2Buor3XjjjVW2BwUFOXWngoOD1bx5c5cdrepwZ24AAOAVmjRpoujoaKWlpTm2paWlKTo62mUws9vt%2Bv7779W5c%2Bcq23v37q1ly5Y5thUWFmrfvn1q06aN2zXRUQIAwKJ88fYAgwcP1pw5c9S0aVNJ0ksvvaSRI0c69h89elTBwcGO5bSDBw/ql19%2BqbLsZrPZ1KtXL82bN0%2BXXHKJGjZsqLlz56pp06bq2bOn2/UQlAAAgNcYNWqUjhw5ovHjx8vf318DBgzQ8OHDHfsHDBig/v37O04cP3LkiCSpfv36VcaaOHGiAgIC9Oijj6qgoEBXX3213nzzTfn7%2B7tdj81ut9vdPXj79u0qKiqq0t7yGvv2mV1BzYKCpGbNpEOHpLOcwe8t7Je2NLsEt9hskvvfyeaxFReZXYJ7bDYpJEQqLvb6iS0LcH2CpzcJDJTKysyuwj2BQTazS6hZfLyUni517ixt2mR2NTUz6eeoe3fPjPvNN54Z1xud0zlK48aN0969ez1UCgAAqE0VFZ75uJhwMjcAAIALbgeloUOH6uDBg5o0aZJGjBih559/3mn/Aw88oL/%2B9a/asGGDrr/%2Bei1cuFDdunXTNddco9dee83p2Pfff1%2BJiYmKj4/X0KFDXV4mCAAAzh8dJePcPpl73rx5uvPOOx1nnr/99tuaMmWKbDab8vPztX79ej366KM6evSojhw5ouXLl2vBggU6dOiQnnjiCTVq1EgDBw7U559/rpSUFE2fPl2tW7fW8uXLlZSUpDVr1lR7IpYr1d4%2B/dQpRbl5wyvTBAQ4/4mLi80Hzv2Q/lenr9SL2hUfb3YFNYuNdf7Tm/nCOVRwye3f1hEREfL391fdunXVu3dvzZ49W%2Bnp6erSpYvWrl2r1q1b6/LLL9eGDRtUXl6uP//5z4qNjVVcXJyGDRum999/XwMHDtRbb72lsWPH6oYbbpAkPfTQQ/ryyy/1z3/%2BU0OHDnW78Gpvnz5unJInTHB7DFN5e6D7lS/9mvSJ3%2BkhIWZXcG5%2BvTOuNws0u4BzEOgrxaanm12B%2B957z%2BwKambiP04XW/fHE86rrVGvXj1df/31WrVqlbp06aJ//etfuvXWWx37w8LCFHtGyv/d736nBQsWSKp8g7rZs2frL3/5i2N/SUnJOZ8kXu3t00%2BdqryazJsFBFSGpNxcqbzc7GpqZG/arOaDvIDPXPVWUmx2Ce6x2SpDUkmJ109smb9vhE%2Bfuuqtm5de2Xym2H9fZvIAAA//SURBVNjKkDRkiJSZaXY1XougZNx5r//cdtttevHFF5WcnKyvv/5aTz311P8G/c2yUkVFhWy/JupTp05p8uTJ6v6baxbdfXO606q9ffq%2BfT5xyb2kypDkK7Wi9nh56KjCbve9mmGcLy0VZWb6Vr3wOed91VtiYqJOnjypt99%2BWzExMbr00ksd%2B06ePKkDBw44vv7%2B%2B%2B8VExMjSWrdurUOHz6sli1bOj5ef/11bd682cDLAAAAv8XJ3MadU1AKCwtTVlaWjh8/rpCQEN14441655139Pvf/77KsU8//bR%2B/PFHrV69WosWLdK9994rSRoxYoTeffddLV%2B%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%2BgoAQBgUXSUjCMoAQBgUQQl41h6AwAAcIGOEgAAFkVHyTg6SgAAwOvY7XaNHDlSy5YtO%2Btx%2B/fv1/Dhw9WpUyfdeuutWr9%2BvdP%2Br7/%2BWrfd9v/bu/%2BYqqv/D%2BDPS4JcFE0IiBJMSAOCyKEwkAldmg2uK3%2B0IZmgFkH82momY4ErR0DhHANsxgcsHLIIGEaxEYGTFkE6BCRAAaH4VfwMEgT5dT9/fOb9inDz4hd4%2B748H5sbnvNGnh4v%2BHqfc%2B5574K9vT18fX3R3t4%2BrxwslIiIiDTU9PTi/Fr83NOIjo5GWVnZv16nUCgQHByMJ554Arm5uXjttdcQEhKCrq4uAEBXVxeCg4Oxd%2B9e5OTkwMDAAEFBQVAoFGpn4dIbERGRhhLj0lt3dzeOHj2Kjo4OrFmz5l%2BvraioQHt7O77%2B%2Bmvo6enB0tIS5eXlyM3NRWhoKLKzs2Fra4sjR44AAGJjY7F9%2B3ZcvnwZTk5OauXhjBIRERE9Murq6mBqaorc3Fzo6%2Bv/67U1NTWwsbGBnp6ess3BwQHV1dXK/q1btyr7pFIpnn/%2BeWW/OjijREREpKEWa0app6cHvb29M9qMjIxgbGz8//6zZTIZZDKZWtf29vbO%2BpqGhob466%2B/1OpXh2YVShs2CJ3ggXp6epCVlARvb28YiyCvROgAaujp6UFWVtb/xnQBvkkXlVQqdAK19PT0IOs//xHFmGoLHUANonqNAsA89m8IRfmztLBQHGMqkMX6p0xKykJycvKMtpCQEISGhj7wc8fGxtDd3T1nn5GR0YzZoQcZHR2Fjo7OjDYdHR2Mj4%2Br1a8OzSqURKC3txfJycmQyWT85l4gHNOFxzFdWBzPhccxFZa3t/esWR8jIyO1Prempga%2Bvr5z9p0%2BfRovv/yy2jlWrlyJwcHBGW3j4%2BPQ1dVV9t9fFI2Pjz9w79O9WCgRERHRvBgbGz90gerk5IQbN24sSA4TExM0NzfPaOvr61NmMzExQV9f36x%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%2B8HAPj6%2BiIpKWnWgw0bGxsRHx%2BP6upqISKK1sGDB%2Bd8vUokEmhra8PIyAienp7YsWOHAOnEydraGmVlZTAwMJjRXldXBx8fH1y7dk2gZOJ169Yt5Ofno7W1FUFBQaipqYGlpSXMzc2FjkYabIXQATRVaGio8uO2tjakp6fDx8cHdnZ20NbWRn19PTIyMuDn5ydgSnHp6enBoUOHlL8PCQmZdY1UKuWYPoRt27YhJSUFr7zyCl588UUoFArU1dWhoKAAr776KnR1dfH%2B%2B%2B8jIiIC%2B/btEzruIyszMxMnTpyARCKBQqHA9u3b57zOxcVliZOJX2NjI/z8/GBqaqr8uKioCIWFhfjiiy/g6OgodETSUJxRWgJ79%2B6Fv78/PD09Z7QXFxcjISEB33//vUDJxEsmkyEnJ2fW3To9HB8fH%2BzatQsHDhyY0f7NN9/g22%2B/xfnz51FUVIRTp06hsLBQoJTicOXKFUxPT8PPz2/WrKdEIoFUKsXmzZuho6MjYErx8fX1xdatWxEWFoYtW7YgPz8fZmZmiI%2BPx6%2B//oqcnByhI5KG4ozSEmhtbcXmzZtntZuZmaGzs1OAROJ38eJFlX09PT0wNjZewjTiV19fj9jY2Fntjo6OiI6OBgDY2trizz//XOpoorNt2zYAQH5%2BPjZt2jTnkmZzczOeffbZpY4marW1tcrX4r3279%2BP8%2BfPC5CIlgtu5l4CDg4OiImJQXd3t7Ktvb0d0dHRcHV1FTCZeLW0tCAoKAg7d%2B6Eh4cHPDw8IJPJ4OrqCnd3d6HjiY6VlRUyMjJw/wRzZmam8j/02tpaPPnkk0LEE6XAwECUl5fPaJuYmEBCQgL27NkjUCrxMjAwQGtr66z2q1evwtDQUIBEtFxwRmkJxMTEICwsDG5ubnj88cehUCgwNDQEZ2fnOe%2BQ6MGioqIwNTWFt956CzExMTh27Bg6OzuRmZmJTz75ROh4ohMVFQV/f39cunQJNjY2AICGhgYMDw/jzJkzqKysxAcffIDjx48LnFQ8du/ejYCAAOzevRvh4eG4fv06IiMjcefOHZw8eVLoeKLj7%2B%2BPyMhIBAYGQqFQoKKiAnl5eUhPT8d7770ndDzSYNyjtEi6urpgamoKiUSCrq4uAMDt27dRWloKiUQCd3d36OrqAgCeeuopIaOK0gsvvICsrCxYW1vDx8cHYWFhcHZ2RnZ2Ni5cuMCp%2BIcwPDyMgoICNDY24rHHHsOmTZsgl8uhp6eHjo4ODA8Pw8rKSuiYotLc3IzIyEi0trZiZGQEb7/9NgICAiCVSoWOJkoXL15EWloabt68iampKWzcuBGHDh2Cl5eX0NFIg3FGaZHIZDKUlZXB0NBwxlEBd%2BvS%2BPh4KBQKSCQSNDQ0CBlVlFasWAF9fX0AgIWFBRoaGuDs7AwXFxd8%2BumnAqcTp9WrV8Pb23vOvvXr1y9xGs3Q2tqKvr4%2BrFu3DpOTk7hx4wYGBgbw9NNPCx1NlGQyGWQymdAxaJlhobRISkpKlO/I4jlJC2/Lli1IS0tDeHg4bG1tUVBQgMOHD%2BO3337DypUrhY4nOp2dnUhISEBtbS0mJydn7VXia3j%2B/Pz8UF1djYCAAPj7%2B2NgYAAnTpyAXC6Hv78/goODhY4oOtnZ2cjKysLNmzehpaWF5557Dm%2B%2B%2BSZnlGhRsVBaJPfeMfLuceFFRETg3XffhZmZGfbv349z587B0dERt2/fRlBQkNDxROfYsWP4%2B%2B%2B/ceDAAaxevVroOBphenoaeXl5sLCwAACYmJjg9OnTKCoqQnR0NAuleTpz5gxSU1Ph5%2BeH4OBgTE1Noba2FlFRURgcHMQbb7whdETSUNyjRKJxd6/XXdPT07hz5w6kUilGRkZw%2BfJl2NrawsjIiPu%2B5snOzg55eXl8y/oSGR4eZkE6T66urvj444/h4eExo/2HH35AbGwsLl26JEww0nicUSLRUOexMNz39XCeeeYZDAwMCB1D4%2BTn5%2BOrr75CW1sb8vLycO7cORgZGeGdd94ROproTExMzDk7b2FhgZGREQES0XLBQolEg/tkFs/dt14fPnwYGzZsgLa29oz%2Bu4cokvoyMzPx%2BeefIzAwEPHx8QD%2Bd2hnTEwMxsfH53wED6kWEhKCyMhIxMTEKA/w7erqQlxcHJcxaVFx6Y2I/vVt/5yhezienp4IDw%2BHu7v7jEdulJaW4vjx4ygtLRU6oqi4ubmhv78fU1NT0NPTw4oVK/DPP/8oZ5HvxdcrLSTOKBEtU/fu%2BSopKVE%2ByPV%2BD1rupLl1dXXB0tJyVruZmRkGBwcFSCRud2fliJYaCyWiZUqdPV938Q59/uzt7XHhwgWEhoYq2xQKBc6ePQs7OzsBk4lTRUUF5HL5nMUn0WLi0hvRMjWfBzLziIv5a2pqgr%2B/PwwNDXH9%2BnU4Ozvj999/x%2BjoKFJTU2FtbS10RFEJDAxEWVkZNm7cCLlcDi8vL5iZmQkdi5YBFkpERIsgIiICH374IQoLC2c8csPNzQ1xcXFITEwUOqLoDA8P48cff0RhYSF%2B%2BeUXWFlZQS6Xw9PTEyYmJkLHIw3FQomIaIFUVVXhjz/%2BAPB/hdL95yW1tLQgIyMDV69eFSKixrh16xbS0tLw5ZdfYmJiAg4ODvD29sauXbuEjkYahnuUiIgWiFQqRVJSEhQKBRQKBVJTU6GlpaXsl0gk0NPTw9GjRwVMKW5VVVUoLCxEUVERhoaGsHPnTnh5eaG3txenTp3CTz/9hM8%2B%2B0zomKRBOKNERLQIDh48iOTkZKxdu1boKBohOjoaxcXF6O/vx44dOyCXy%2BHh4THj2Y4FBQWIjIxEVVWVgElJ07BQIiKiR96RI0fg7u6OPXv2QF9fX9k%2BNDSEqKgoJCYmoq2tDR0dHXBxcREwKWkaLr0REdEj6d49X%2BXl5XjppZdmndDf0tKCn3/%2BGQBgbm4Oc3PzJc9Jmo2FEhERPZLu3/OVlpbGPV%2B05Lj0RkREjzzu%2BSKhsFAiIiIiUkHrwZcQERERLU8slIiIiIhUYKFEREREpAILJSIiIiIVWCgRERERqcBCiYiIiEgFFkpEREREKvwXik2Ec7FeE4QAAAAASUVORK5CYII%3D\" class=\"center-img\">\n",
" <img 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9e/f33m/NJvNpsTEROe7CeTm5iopKcm5fefOnRUbG6vc3Nxmq5X7KAEAgBNSVFTU6O2XoqOjFRMT49X%2B48eP92q74uJi5/tdNoiKinIO1xUVFTV6zKioqGZ9T0hrBSV/uENvt27S1q3SWWdJO3aYXY1HFeW%2BPzJrs0lBQVJVleTrA8khNYfMLsE7NpsUFiYdOeLzJ3V/TRuzS/AoIECKiJDKyqRj3nXGZ7U7vMvsEjyz26XOnaWCAskf3vevmYaBTlgLvS5mPvusMjIyXJalpqYqLS2tWR%2BnoqLC5Qa6Uv3NfqurqyVJlZWVx13fHKwVlPxBZGT9D3hkpNmVWIo/ZGS/YrP98uHjQckfHHs60UwCAupPaECAfwQlixk7dqzzDbsbREdHN/vjBAUFNQo91dXVCg4OPu76kJCQZquBoAQAgFUFtMxU5JiYGK%2BH2Yzo2LGjSkpKXJaVlJQ4H9vd%2BuYMbUzmBgDAqgICWubjFOnXr59ycnLUcIG%2Bw%2BFQdna2%2BvXr51yflZXl3L6goEAFBQXO9c2BoAQAAHxGcXGxKisrJUnDhw9XWVmZ5s2bp23btmnevHmqqKjQiBEjJEnjxo3T%2B%2B%2B/r5UrVyovL0/33HOPhgwZ0my3BpAISgAAWJcfdpQGDx6sNWvWSJLCw8P1wgsvKCsrS6NHj1Zubq5efPFFhYaGSpISEhL0yCOP6LnnntO4cePUtm1bzZ8/v1nrsdYNJ/1hpmRCgpSdLSUmSjk5Zlfjkb9c9RYcLFVW%2Bv68Y7%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%2BOxh6M8yUq97uuOMOhYaGauXKldq6datmz56tdu3andAxioqKVFxc7LIsuls3xURGNmepzS8%2B3vWzj7PZzK7As4Ya/aFWv/kF01CnH9Rrt5tdgWd%2BdDrrtWpldgWeBQa6fvZlR4%2BaXQEMOOXfYRUVFcrJydGnn36q2NhYnXXWWdq0aZM%2B%2BuijEzpOZmamMjIyXJal3nGH0u64oznLbTlvvGF2BV4JNruAExAUZHYF3ggzu4ATExJidgUeRZhdwAkIDze7Ai9FdDK7Au916GB2BZ7t2mXeY/tNOvddpzwoffbZZ4qMjFRsbKxzWd%2B%2BfU84KI0dO7bRlXLRV10lLV/eLHW2mPj4%2BpA0fryUl2d2NR5V/jvb7BI8stnqQ1JVleRwmF3N8QXXHjG7BO8EBNSHpIoKqa7O7GqOq6zW98NnQEB9SDp82OdPpyQponyv2SV4FhhYH5JKSqSaGrOr8V0EJcNM6Vk6fvVq1uok2rwxMTGKiYlxXbhjh5GyTq28PCknx%2BwqPPL14HEsh8MP6vWHV8lj1dX5fM21tWZX4L26Oj%2Bp15%2BGimpq/Kte%2BJ1THjWHDh2qgwcP6scff3Qu27x586kuAwAA62Myt2Gn/NkGBQVp0KBBmjVrlvLy8rRu3Tq99tprp7oMAACsj6BkmCnP9umnn1a7du10/fXX66mnnlJKSooZZQAAABzXKZuj1KVLF23ZssX5daMr1lJTT1UpAAD8Nvho96eqqkoPP/ywPv74YwUHB%2Bumm27STTfd1Gi7lJQUff31142Wjx49WvPnz9fBgwc1YMAAl3WRkZFav359s9XqBzegAAAAVrJgwQJt2rRJy5cv188//6x7771XsbGxGj58uMt2ixcv1tFjJuvn5ubqzjvv1Pjx4yVJ27ZtU2RkpFavXu3cJqCZwyFBCQAAq/LBjlJ5eblWrlyppUuXqk%2BfPurTp4%2B2bt2q119/vVFQijzmJtK1tbV6%2BumndfPNN6tv376SpPz8fHXr1q1F3yLN984gAABoHj44mTsvL081NTVKSEhwLuvfv79yc3NVd5zbkaxatUoHDx7U1KlTncu2bdumM88801A9ntBRAgAAJ6TJtxGLjm58f8MmFBcXq127dmrdurVzWYcOHVRVVaUDBw6offv2jfZxOBx66aWXNHHiRIWF/XKT2e3bt6umpkZjxoxRYWGhkpKSlJ6e7lUd3iIoAQBgVS009Nbk24ilpiotLc3jvhUVFS4hSZLz6%2Brq6ib3Wb9%2Bvfbu3avrrrvOZXl%2Bfr7at2%2Bv9PR0ORwOPf3007r11lu1cuVK2ZvpjSAJSgAA4IQ0%2BTZiXs4TCgoKahSIGr4ODm76HUbXrl2riy%2B%2B2GXOkiR9%2BOGHstlszv2effZZDR48WLm5uUpMTPSqHk8ISgAAWFULdZSafBsxL3Xs2FH79%2B9XTU2NAgPrY0hxcbGCg4MVEdH021z/61//avI2QiG/euPuqKgoRUZGqrCw8KRqawqTuQEAsCofnMzdu3dvBQYGasOGDc5lWVlZ6tu3b5OX9u/bt0%2B7du1S//79XZYfPnxY5513nr766ivnssLCQu3fv1/du3c3VOOxCEoAAOCUCQkJ0ciRIzVnzhxt3LhR69at07JlyzRx4kRJ9d2lyspK5/Zbt25VUFCQunTp4nKc8PBw9e/fX/Pnz9fGjRv13Xff6X/%2B53900UUXKS4urtnqJSgBAGBVPthRkqT09HT16dNHkyZN0sMPP6y0tDRddtllkqTBgwdrzZo1zm1LS0sVEREhm83W6DhPPPGEzj77bN1yyy1KSUnRaaedpkWLFhmu71g2h8PhaNYjmqmJk%2BhzEhKk7GwpMVHKyTG7Go8qyn3/28Nmk4KDpcpKyde/m0NqDpldgncCAqSwMOnIEek49zXxBftr2phdgkd2uxQRIZWVSbW1ZlfjWbvDu8wuwbNWraROnaS9e6Vj7tzss7p2NedxL7%2B8ZY67dm3LHNcHMZkbAACr8sE7c/sbghIAAFZFUDKMMwgAAOAGHSUAAKyKjpJhnEEAAAA36CgBAGBVdJQMIygBAGBVBCXDOIMAAABu0FECAMCq6CgZxhkEAABwg44SAABWRUfJMIISAABWRVAyjDMIAADgBh0lAACsio6SYZxBAAAAN%2BgoAQBgVXSUDCMoAQBgVQQlwziDAAAAbtBRAgDAqugoGcYZBAAAcIOOEgAAVkVHyTCCEgAAVkVQMowzCAAA4AYdJQAArIqOkmGWCkoV5Q6zS/DIZpOCJVX%2BO1sO3y9XIaE2s0vwLCFBys5W8AWJUk6O2dUcV062H/ynSwoJkeLjpbxdYaqoMLua4%2BvZ0%2BwKPGt4rbLb638H%2BLpDkV3NLsGjgAApTNKRNp1UV2d2NZ61MbsAnDRLBSUAAHAMOkqGEZQAALAqgpJhnEEAAAA36CgBAGBVdJQMIygBAGBVBCXDOIMAAABu0FECAMCq6CgZxhkEAABwg44SAABWRUfJMIISAABWRVAyjDMIAADgBh0lAACsio6SYZxBAAAAN%2BgoAQBgVXSUDCMoAQBgVQQlwziDAAAAbhCUAACwqoCAlvkwqKqqSrNmzVJSUpIGDx6sZcuWud32tttuU1xcnMvHp59%2B6lz/l7/8RRdddJESEhI0a9YsVVRUGK7vWAy9AQCAU2rBggXatGmTli9frp9//ln33nuvYmNjNXz48Ebbbt%2B%2BXQsXLtSgQYOcy9q2bStJWrt2rTIyMrRw4UJFRUUpPT1dCxcu1IMPPthstRKUAACwKh%2Bco1ReXq6VK1dq6dKl6tOnj/r06aOtW7fq9ddfbxSUqqurtXv3bvXt21fR0dGNjrVixQpNmjRJQ4cOlSQ9/PDDmjJlimbOnKmQkJBmqdf3ziAAAGgePjj0lpeXp5qaGiUkJDiX9e/fX7m5uaqrq3PZNj8/XzabTV27dm10nNraWn377bdKSkpyLjv33HN19OhR5eXlGarxWHSUAADACSkqKlJxcbHLsujoaMXExHjct7i4WO3atVPr1q2dyzp06KCqqiodOHBA7du3dy7Pz89XeHi47rnnHn399dfq1KmT0tLSdMkll6isrExVVVUujxkYGKjIyEjt3bu3GZ7lf4/ZbEcCAAC%2BpYWG3jIzM5WRkeGyLDU1VWlpaR73raiocAlJkpxfV1dXuyzPz89XZWWlBg8erFtuuUWffPKJbrvtNmVmZqpDhw4u%2Bx57rF8fxwiCEgAAOCFjx45VcnKyy7Km5hA1JSgoqFGQafg6ODjYZfmf/vQnpaSkOCdvx8fH67vvvtNbb72l//mf/3HZ99hjNdf8JImgBACAdbVQRykmJsarYbamdOzYUfv371dNTY0CA%2BtjSHFxsYKDgxUREeGybUBAgDMkNejevbu2bdumyMhIBQUFqaSkRD169JAk1dTU6MCBA16HNm8wmRsAAKvywcncvXv3VmBgoDZs2OBclpWVpb59%2ByrgV8e%2B7777lJ6e7rIsLy9P3bt3V0BAgPr27ausrCznug0bNigwMFDx8fGGajwWQQkAAJwyISEhGjlypObMmaONGzdq3bp1WrZsmSZOnCipvrtUWVkpSUpOTtYHH3yg9957Tz/%2B%2BKMyMjKUlZWlCRMmSJLGjx%2Bvl19%2BWevWrdPGjRs1Z84cXXfddQy9AQAAL/jgfZQkKT09XXPmzNGkSZMUHh6utLQ0XXbZZZKkwYMHa/78%2BRo9erQuu%2BwyPfTQQ3r%2B%2Bef1888/66yzztJLL72kLl26SJL%2B8Ic/aM%2BePXrwwQdVXV2tyy67TDNnzmzWWm0Oh8PRrEc0UTPftbxF2GxScLBUWSn5w5kPCbWZXYJnCQlSdraUmCjl5JhdzXHlZPvBf7qkkBApPl7Ky/P9n6uePc2uwLOAACksTDpyRPrVbWJwkvztnLZpY9IDz5/fMsf91XCYldFRAgDAqny0o%2BRPCEoAAFgVQckwziAAAIAbdJQAALAqOkqGcQYBAADcoKMEAIBV0VEyjKAEAIBVEZQM4wwCAAC4QUcJAACroqNkWIudwd27dysuLk67d%2B/2uO2XX36p7du3t1QpAAAAJ8UnoubkyZNVUlJidhkAAFhLQEDLfPyGMPQGAIBV/cZCTUs4JWdw27ZtmjJlihISEtS3b1%2BNHz/eOdSWnJwsSZo4caIWL158KsoBAADwSot3lBwOh2699VZdcMEFeuihh3To0CE98sgjWrhwoZYsWaK3335bgwYN0uLFi3XhhRd6fdyioiIVFxe7LIuIiFZ0dExzP4VmZbO5fvZ5CQlmV%2BBZfLzrZx8WEmJ2Bd4JCnL97Mv84Q/mhhr9oVZ/4U/ntK7OxAf3hxPk41o8KFVWVur666/X%2BPHjFRoaKkkaNWqUXnrpJUlS%2B/btJUlt27ZVWFiY18fNzMxURkaGy7Lp01N1%2B%2B1pzVR5y/KHFyBJUna22RV47403zK7AI9%2BPcq66dTO7Amvxl6DsT/zhnB46ZHYFMKLFg1JISIjGjRun9957T5s2bVJ%2Bfr6%2B//57dejQwdBxx44d6xy2axAREa3KSkOHbXE2W31IqqqSHA6zq/Es%2BIJEs0vwLD6%2BPiSNHy/l5ZldzXHlveEfwTMoqD4k7dhR/73qy7p2NbsCzwIC6l/QKypM7i5YCOfUS3SUDGvxoFReXq6pU6eqXbt2Sk5O1pVXXqn8/HwtW7bM0HFjYmIUE%2BM6zFZR4R/hQ6qv0y9qzckxuwLv5eX5fL0VFWZXcGKqqny/Zn96kayr8696/QHn1AOCkmEtHpS%2B/vprFRUV6YMPPlBgYP3DffHFF3L4RUoAAAC/ZS0eNfv06aPy8nKtW7dOu3fv1sqVK/X666%2BrurrauU1oaKi2bt2qQwzkAgDQfLiPkmEt/myjo6M1ffp0Pfzww7r66qu1atUqPfjggyotLVVhYaEkKSUlRQsWLOD2AAAAwKfYHBYaA/P1uRRS/WTu4GCpstI/5iiFhPrBfQwSEuqvzktM9Pk5SjnZfvCfrvpJsvHx9dO%2BfP3nqmeKBu25AAAgAElEQVRPsyvwLCBACguTjhxhPk1z8bdz2qaNSQ%2B8fHnLHHfSpJY5rg/iztwAAFjVb2yYrCVwBgEAANygowQAgFXRUTKMoAQAgFURlAzjDAIAALhBRwkAAKuio2QYZxAAAMANOkoAAFgVHSXDCEoAAFgVQckwziAAAIAbdJQAALAqOkqGcQYBAADcoKMEAIBV0VEyjKAEAIBVEZQM4wwCAAC4QUcJAACroqNkGGcQAADADTpKAABYFR0lwwhKAABYFUHJMM4gAACAGwQlAACsKiCgZT4Mqqqq0qxZs5SUlKTBgwdr2bJlbrf95z//qWuuuUYJCQm66qqr9Pe//91lfVJSkuLi4lw%2Bjhw5YrjGBgy9AQCAU2rBggXatGmTli9frp9//ln33nuvYmNjNXz4cJft8vLylJqaqnvuuUeXXHKJvvjiC91xxx16%2B%2B23FR8fr8LCQh06dEjr1q1TcHCwc7/Q0NBmq5WgBACAVfngHKXy8nKtXLlSS5cuVZ8%2BfdSnTx9t3bpVr7/%2BeqOgtHr1ap1//vmaOHGiJOmMM87QP/7xD/3tb39TfHy8tm/frujoaHXt2rXF6iUoAQBgVS0UlIqKilRcXOyyLDo6WjExMR73zcvLU01NjRISEpzL%2BvfvryVLlqiurk4Bx9Q8atQoHT16tNExDh06JEnatm2bunXrdrJPwysEJQAAcEIyMzOVkZHhsiw1NVVpaWke9y0uLla7du3UunVr57IOHTqoqqpKBw4cUPv27Z3Le/To4bLv1q1b9eWXX%2Br666%2BXJG3fvl0VFRVKSUnRjh071Lt3b82aNatZwxNBCQAAq2qhjtLYsWOVnJzssiw6OtqrfSsqKlxCkiTn19XV1W7327dvn9LS0pSYmKjf//73kqT8/HwdPHhQd911l8LDw7V06VJNnjxZH374ocLDw0/kKblFUAIAACckJibGq2G2pgQFBTUKRA1fHzsh%2B1glJSW68cYb5XA49OyzzzqH515%2B%2BWUdPXpUYWFhkqRFixbpkksu0aeffqqrrrrqpOr7NYISAABW5YOTuTt27Kj9%2B/erpqZGgYH1MaS4uFjBwcGKiIhotH1hYaFzMveKFStchuZat27t0p0KCgpSly5dVFhY2Gz1%2Bt4ZBAAAzcMH76PUu3dvBQYGasOGDc5lWVlZ6tu3r8tEbqn%2BCrmbb75ZAQEBeu2119SxY0fnOofDoWHDhmnVqlUu2//444/q3r27oRqPRUcJAACcMiEhIRo5cqTmzJmjxx57TEVFRVq2bJnmz58vqb671KZNGwUHB%2BuFF17QTz/9pFdffdW5TqofomvTpo2GDBmixYsX67TTTlP79u31zDPPqFOnTrrkkkuarV6CEgAAVuWDQ2%2BSlJ6erjlz5mjSpEkKDw9XWlqaLrvsMknS4MGDNX/%2BfI0ePVpr165VZWWlrr32Wpf9R40apccff1wzZ85UYGCgZsyYocOHD%2Bv888/Xiy%2B%2BKLvd3my12hwOh6PZjmayigqzK/DMZpOCg6XKSskfznxIqM3sEjxLSJCys6XERCknx%2Bxqjisn2w/%2B0yWFhEjx8VJenu//XPXsaXYFngUESGFh0pEjUl2d2dVYg7%2Bd0zZtTHrgL79smeMOGtQyx/VBdJQAALAqH%2B0o%2BROCEgAAVkVQMsxSQSmk5pDZJXgWECApTMG1/tEv9oehopAQKV5S3hvZPj9MlJDoB0OZknM4M3687w9n1tb4/vdoAze3iPE59n3FnjcyW2CgFNZOYdX7pZoas6vxrI13N2OE77FUUAIAAMego2QYZxAAAMANOkoAAFgVHSXDCEoAAFgVQckwziAAAIAbdJQAALAqOkqGcQYBAADcoKMEAIBV0VEyjKAEAIBVEZQM4wwCAAC4QUcJAACroqNkGEEJAACrIigZxhkEAABwg44SAABWRUfJMM4gAACAG3SUAACwKjpKhhGUAACwKoKSYZxBAAAAN%2BgoAQBgVXSUDOMMAgAAuEFHCQAAq6KjZBhBCQAAqyIoGcYZBAAAcIOOEgAAVkVHyTDOIAAAgBt0lAAAsCo6SoYRlAAAsCqCkmGcQQAAADfoKAEAYFV0lAzjDAIAALhBRwkAAKuio2QYQQkAAKsiKBnGGQQAAHCDjhIAAFZFR8kwziAAAIAbdJQAALAqOkqGEZQAALAqgpJhnEEAAAA3mjUo7d69W3Fxcdq9e3dzHhYAAJyMgICW%2BTCoqqpKs2bNUlJSkgYPHqxly5a53fb777/Xtddeq379%2BumPf/yjNm3a5LJ%2B9erVGjZsmPr166fp06dr3759hus7Fh0lAABwSi1YsECbNm3S8uXL9dBDDykjI0MfffRRo%2B3Ky8t1yy23KCkpSatWrVJCQoKmTZum8vJySdLGjRs1e/ZspaamKjMzU2VlZUpPT2/WWglKAABYlQ92lMrLy7Vy5UrNnj1bffr00aWXXqqbb75Zr7/%2BeqNt16xZo6CgIN1zzz3q0aOHZs%2BerbCwMGeoeu211zRixAiNHDlS8fHxWrBggT777DPt2rXLUI3HarHJ3HFxcVqwYIGWLl2qnTt36pxzztETTzyhrl27SpI2bdqkRx55RHl5eTr77LM1aNAg/ec//9Grr77q1fGLiopUXFzssiw6NFQxMTHN/lyaVcM3mJ9MsAsJMbsCz4KCXD/7tIQEsyvwTny862f8tgT6wXU%2BdrvrZ19WU2PeY7fQa02Tr8HR0V69Bufl5ammpkYJx/w%2B7N%2B/v5YsWaK6ujoFHFNzbm6u%2BvfvL5vNJkmy2WxKTEzUhg0bNHr0aOXm5mrq1KnO7Tt37qzY2Fjl5uY684ZRLfrTsHjxYs2dO1dRUVG644479Oc//1lPPvmkDh06pJtvvlkjRozQ448/rn//%2B9%2BaP3%2B%2BEhMTvT52ZmamMjIyXJalTp%2ButNtvb%2B6n0TL8IYHIv14nu3UzuwIvZGebXcGJeeMNsyvwyA9eJp384TVdktSundkVeC8iwuwKPPtVoLCCJl%2BDU1OVlpbmcd/i4mK1a9dOrVu3di7r0KGDqqqqdODAAbVv395l2549e7rsHxUVpa1bt0qqD2y/DmdRUVHau3fvCT8nd1o0KN14440aNGiQJGncuHHOttqaNWsUGhqq%2B%2B%2B/X3a7Xd27d1d2dnajdHo8Y8eOVXJyssuy6NBQ6ciR5nsCLSEgoD4kVVRIdXVmV%2BNR3q4ws0vwKCioPiTt2CFVVZldzfHFj/f%2BjwFTxcfXh6Tx46W8PLOrOa7ab/wjfNrtUm2t2VV4x1623%2BwSPLPb60NSWZn/nFgTOGRrkeM2%2BRocHe3VvhUVFS4hSZLz6%2Brqaq%2B2bdiusrLyuOubQ4sGpTPOOMP57/DwcB09elSStGXLFvXp00f2Y/68Ovfcc/XJJ594feyYmJjGLb5Dh/wifEiqr9MPaq2oMLsC71VV%2BUG9OTlmV3Bi8vL8r2YYZ%2BZQ0YmqrfWvei2iyddgLwUFBTUKMg1fBwcHe7Vtw3bu1oc046hNiwalVq1aNbncbrfL4XC4LPv11wAAwJiW%2BnvcyDByx44dtX//ftXU1Cjwv/PhiouLFRwcrIhfDaV27NhRJSUlLstKSkqcIc3dem%2B7W94wZUbxWWedpc2bN6vumP/B7777zoxSAACwrIbBi%2Bb%2BMKJ3794KDAzUhg0bnMuysrLUt29fl4ncktSvXz/l5OQ4mykOh0PZ2dnq16%2Bfc31WVpZz%2B4KCAhUUFDjXNwdTgtIf/vAHHT58WPPnz9eOHTv01ltvac2aNWaUAgAATqGQkBCNHDlSc%2BbM0caNG7Vu3TotW7ZMEydOlFTfXaqsrJQkDR8%2BXGVlZZo3b562bdumefPmqaKiQiNGjJBUP//5/fff18qVK5WXl6d77rlHQ4YMabYr3iSTglJYWJiWLFmib775RldddZXeffddXXXVVY0mZAEAgJPnix0lSUpPT1efPn00adIkPfzww0pLS9Nll10mSRo8eLCzeRIeHq4XXnhBWVlZztsBvPjiiwoNDZUkJSQk6JFHHtFzzz2ncePGqW3btpo/f77xAo9hc5gwOWjXrl0qLCxUUlKSc9nDDz%2BsiooKPf744yd/4EOHmqG6FhYQIIWF1V%2Bd5weTuXO2tTG7BI9CQuov0srL8/3J3AmJLXMFSrNLSKi/lUFios9P5q6t8Y/5jX511ds%2BP7icPTCw/jYG%2B/f7x2TuZpwzcyJa6kpgv7hvXTMxpaN0%2BPBh3Xjjjfroo4%2B0Z88effzxx3r//fc1fPhwM8oBAMCSfLWj5E9Muf1q79699eCDD%2Bqpp55SQUGBYmNjlZ6eriFDhphRDgAAlvRbCzUtwbT71F977bW69tprzXp4AAAAj/zgDX0AAMDJoKNkHEEJAACLIigZ5x9vYQ8AAGACOkoAAFgUHSXj6CgBAAC4QUcJAACLoqNkHEEJAACLIigZx9AbAACAG3SUAACwKDpKxtFRAgAAcIOOEgAAFkVHyTiCEgAAFkVQMo6hNwAAADfoKAEAYFF0lIyjowQAAOAGHSUAACyKjpJxBCUAACyKoGQcQ28AAABu0FECAMCi6CgZR0cJAADADTpKAABYFB0l4whKAABYFEHJOIbeAAAA3KCjBACARdFRMo6OEgAAgBt0lAAAsCg6SsYRlAAAsCiCknEMvQEAALhBRwkAAIuio2QcHSUAAAA36CgBAGBRdJSMs1RQ2l/TxuwSPLLbpQhJZbVhqq01uxrPevY0uwLPAv7bF%2B3a1fd/KdTWOMwuwWt2SbXfZJtdhkf2QJvZJXiWkCBlZ8t%2BXqKUk2N2NR75y/epXVJtRDuzy/CK3aTH9fXfif6AoTcAAAA3LNVRAgAAv6CjZBwdJQAAADfoKAEAYFF0lIwjKAEAYFEEJeMYegMAAHCDoAQAgEXV1bXMR0tyOBxatGiRzj//fA0YMEALFixQ3XEedMOGDbr%2B%2BuuVkJCgyy%2B/XCtXrnRZf/XVVysuLs7l44cffvC6HobeAACAz3jllVe0evVqZWRkqKamRjNnzlRUVJSmTJnSaNvi4mJNnTpV48aN0%2BOPP67vvvtO6enpio6O1pAhQ1RbW6udO3fqtdde05lnnuncr1077%2B%2B/RVACAMCi/HGO0ooVK3T77bcrKSlJknT33XfrmWeeaTIorVu3Th06dNBdd90lSTrzzDO1fv16ffDBBxoyZIh2796to0eP6pxzzlFQUNBJ1UNQAgDAoloqKBUVFam4uNhlWXR0tGJiYgwdt7CwUAUFBTrvvPOcy/r37689e/aoqKio0fEvuugi9e7du9FxDh8%2BLEnatm2bOnfufNIhSWKOEgAAOEGZmZkaPXq0y0dmZqbh4zaEr2MDUYcOHSRJe/fubbR9ly5ddO655zq/Li0t1YcffqhBgwZJkrZv365WrVpp2rRpuvDCCzVhwgRt3LjxhGqiowQAgEW1VEdp7NixSk5OdlkWHR3t1b6VlZUqLCxscl15ebkkqXXr1s5lDf%2Burq72eNy0tDR16NBBY8eOlSTt2LFDBw8e1LXXXqvbb79db731liZNmqQ1a9aoc%2BfOXtVLUAIAACckJibmpIfZcnNzNXHixCbXzZw5U1J9KGoYLmsISCEhIW6PeeTIEf3pT3/Szp079cYbbzi3nTt3riorKxUeHi5JmjNnjrKzs/X%2B%2B%2B/r1ltv9apeghIAABbli5O5Bw4cqC1btjS5rrCwUAsXLlRxcbG6dOki6ZfhOHcdq8OHD%2Bvmm2/WTz/9pOXLl7tc3RYYGOgMSZJks9nUvXt3tx2tpjBHCQAAi/K3%2Byh17NhRsbGxysrKci7LyspSbGxskx2suro6paamavfu3Xr11Vd11llnuaxPSUlRRkaGy/ZbtmxR9%2B7dva6JjhIAAPAZ48aN06JFi9SpUydJ0pNPPqmbbrrJuX7fvn0KCgpSWFiY3n77ba1fv17PP/%2B8IiIinN2nVq1aKTIyUsnJyXruuefUu3dvdevWTStWrNChQ4c0atQor%2BshKAEAYFG%2BOPTmyZQpU1RaWqrU1FTZ7XaNGTNGkydPdq4fM2aMRo0apbS0NK1du1Z1dXWaNm2ayzEGDBigV199VZMnT1ZVVZUeffRRlZSUqF%2B/fnrllVdchuM8sTkcDkdzPTmz7d9vdgWe2e1SRIRUVibV1ppdjWeBfhClAwKksDDpyBHf/6UQGmp2Bd6z2/3je9QeaDO7BM8SEqTsbCkxUcrJMbsaj2pr/ONlwV%2B%2BR6X6Ws3wt7%2B1zHFHjGiZ4/oi5igBAAC44Qf9AgAAcDJ8vcvuD%2BgoAQAAuEFHCQAAi6KjZBxBCQAAiyIoGcfQGwAAgBt0lAAAsCg6SsbRUQIAAHCDjhIAABZFR8k4ghIAABZFUDKOoTcAAAA36CgBAGBRdJSMo6MEAADgBh0lAAAsio6ScQQlAAAsiqBkHENvAAAAbtBRAgDAougoGUdHCQAAwA06SgAAWBQdJeMMdZQ2b96s7OxsQwU4HA69/vrrho4BAAAaq6trmY/fEkNBafr06dq5c6ehAr755hs98sgjho4BAADQEkwfenM4HGaXAACAJf3Wuj8t4aQ7SikpKdqzZ4/S09N133336YcfflBKSorOOeccXX755c7hNIfDoQkTJmjixInOfZ999lkNGTJEW7ZscS6Pi4vT%2BvXrDT4dAACA5nPSHaXFixfrmmuu0U033aTRo0fryiuv1KhRozR37lzl5%2BfrgQceUFhYmEaOHKmHH35YI0eO1Nq1a9WjRw%2B9%2BOKLev7559WzZ08tXrxYaWlp%2BuKLL9S2bVuvH7%2BoqEjFxcUuy4KDoxUdHXOyT%2BmUCAhw/ezr/KFOfzunaGYJCWZX4Fl8vOtn4BSho2TcSQelyMhI2e12tWnTRh999JGioqJ05513SpLOPPNM7dmzRytWrNDIkSPVo0cPTZs2TQsWLFCHDh109dVX66KLLpIkZziKjo4%2BocfPzMxURkaGy7Lp01N1%2B%2B1pJ/uUTqnwcLMrsJ6QELMrsB673ewKvGDwgpJT6o03zK7AK/7w397AH75Ha2vNe2yCknHNMkcpPz9feXl5SjjmL7va2lrZj/kOvuWWW/TBBx9ox44deumllww/5tixY5WcnOyyLDg4WmVlhg/dogIC6kPS4cP%2B8Q3sD7%2BEAgLqQ1JFhe%2Bf0%2BBgsyvwnt1u7i94b9nPSzS7BM/i4%2BtD0vjxUl6e2dV4VPuNf4RPf/kehX9rlqBUU1OjQYMG6cEHH3S7zb59%2B1RcXKyqqipt3rxZAwYMMPSYMTExiolxHWbbv99/fmjq6vyjVpvN7Aq891u8bBWScnLMrsB7eXn%2BVS/8Hr8TjWuWWR3dunXTjh071KVLF51xxhk644wztGHDBr366qvObebOnasBAwbo5ptv1gMPPKDq6mpJks2fXokBAMBviqGgFBoaqvz8fF1yySWqrKzUgw8%2BqO3bt%2Buzzz7TvHnzFBUVJUn6%2BOOP9a9//UuzZ8/WtGnTVFVVpeeee06SFPLfiSWbNm1SVVWVwacDAAAacMNJ4wwFpXHjxun111/X/PnztXTpUu3cuVMjR47U/fffrxtuuEHTpk3T4cOHNXfuXE2dOlVdu3ZVaGio7rvvPr388sv64YcfFBcXpwsvvFDXX3%2B9Pvvss%2BZ6XgAA/OYRlIyzOSx0x8f9%2B82uwDO7XYqIkMrK/GOOUqDptyT1LCBACguTjhzx/R/g0FCzK/Cev0yUtQf6wfB9QkL91XmJiX4xR6m2xj9eFvzle1Qy78KYxYtb5rhp/nGBebPwg5dBAABwMnz9j0d/wC36AAAA3KCjBACARdFRMo6gBACARRGUjGPoDQAAwA06SgAAWBQdJePoKAEAALhBRwkAAIuio2QcQQkAAIsiKBnH0BsAAPAZDodDixYt0vnnn68BAwZowYIFqjtO4nv00UcVFxfn8vHaa685169evVrDhg1Tv379NH36dO3bt%2B%2BE6qGjBACARfljR%2BmVV17R6tWrlZGRoZqaGs2cOVNRUVGaMmVKk9tv375dM2bM0KhRo5zLwsPDJUkbN27U7Nmz9fDDDys%2BPl7z5s1Tenq6XnjhBa/roaMEAIBF%2BeOb4q5YsUK33367kpKSdP755%2Bvuu%2B/W66%2B/7nb77du36%2Byzz1Z0dLTzIyQkRJL02muvacSIERo5cqTi4%2BO1YMECffbZZ9q1a5fX9RCUAACATygsLFRBQYHOO%2B8857L%2B/ftrz549KioqarT94cOHVVhYqDPPPLPJ4%2BXm5iopKcn5defOnRUbG6vc3Fyva2LoDQAAi2qp7k9RUZGKi4tdlkVHRysmJsbQcRuOeexxOnToIEnau3dvo%2BNv375dNptNS5Ys0eeff67IyEjdeOONzmG4oqKiRvtERUVp7969XtdEUAIAACckMzNTGRkZLstSU1OVlpbmcd/KykoVFhY2ua68vFyS1Lp1a%2Beyhn9XV1c32j4/P182m03du3fXhAkT9M033%2BiBBx5QeHi4Lr30UlVWVrocq%2BF4TR3LHYISAAAW1VIdpbFjxyo5OdllWXR0tFf75ubmauLEiU2umzlzpqT6UBQUFOT8tyTnvKNjjRw5UkOHDlVkZKQkKT4%2BXjt37tRf//pXXXrppQoKCmoUiqqrq5s8ljsEJQAALKqlglJMTMxJD7MNHDhQW7ZsaXJdYWGhFi5cqOLiYnXp0kXSL8NxTQUxm83mDEkNunfvrq%2B%2B%2BkqS1LFjR5WUlLisLykp8TrUSUzmBgAAPqJjx46KjY1VVlaWc1lWVpZiY2ObDGbPPPOMJk%2Be7LIsLy9P3bt3lyT169fP5VgFBQUqKChQv379vK6JjhIAABblj/dRGjdunBYtWqROnTpJkp588knddNNNzvX79u1TUFCQwsLCNHToUL344ot6%2BeWXdemll%2BqLL77Qe%2B%2B9pxUrVjiPlZKSonPPPVd9%2B/bVvHnzNGTIEHXt2tXreghKAADAZ0yZMkWlpaVKTU2V3W7XmDFjXLpGY8aM0ahRo5SWlqZzzjlHzzzzjJ599lk988wzOu200/Tkk08qISFBkpSQkKBHHnlEzz77rA4ePKgLL7xQc%2BfOPaF6bA6Hw9GcT9BM%2B/ebXYFndrsUESGVlUm1tWZX41mgH0TpgAApLEw6csT3/3oKDTW7Au/Z7f7xPWoPtJldgmcJCVJ2tpSYKOXkmF2NR7U1/vGy4C/fo1J9rWZIT2%2BZ486f3zLH9UV%2B8DIIAABOhq//8egPmMwNAADgBh0lAAAsio6ScXSUAAAA3KCjBACARdFRMo6gBACARRGUjGPoDQAAwA06SgAAWBQdJePoKAEAALhBRwkAAIuio2QcQQkAAIsiKBnH0BsAAIAbdJQAALAoOkrG0VECAABww1IdpXaHd5ldgmetWkkRnRRRvlc6etTsajw6FNnV7BIsxb6v2OwSvBMYKLVrJ3vZfqmmxuxqjqu2xmF2CV6xS6r9JtvsMrxiD7SZXYJnCQlSdrbs5yVKOTlmV%2BOZw5zvUzpKxlkqKAEAgF8QlIxj6A0AAMANOkoAAFgUHSXj6CgBAAC4QUcJAACLoqNkHEEJAACLIigZx9AbAACAG3SUAACwKDpKxtFRAgAAcIOOEgAAFkVHyTiCEgAAFkVQMo6hNwAAADfoKAEAYFF0lIyjowQAAOAGHSUAACyKjpJxBCUAACyKoGQcQ28AAABu0FECAMCi6CgZR1ACAMCiCErGMfQGAADgBh0lAAAsio6ScXSUAAAA3KCjBACARdFRMo6gBACARRGUjGPoDQAAwA06SgAAWBQdJeMISgAAwGc4HA49%2BeSTevvtt1VXV6cxY8bo7rvvVkBA40Gw%2B%2B67T%2B%2B%2B%2B26j5QMHDtSKFSskSUlJSTp06JDL%2BuzsbIWFhXlVD0EJAACL8seO0iuvvKLVq1crIyNDNTU1mjlzpqKiojRlypRG286ePVszZsxwfr1nzx6lpKRo4sSJkqTCwkIdOnRI69atU3BwsHO70NBQr%2BshKAEAYFH%2BGJRWrFih22%2B/XUlJSZKku%2B%2B%2BW88880yTQalNmzZq06aN8%2Bv77rtPw4cP17BhwyRJ27dvV3R0tLp27XrS9RCUAACATygsLFRBQYHOO%2B8857L%2B/ftrz549KioqUkxMjNt9v/zyS33zzTdau3atc9m2bdvUrVs3QzURlAAAsKiW6igVFRWpuLjYZVl0dPRxg4w3Go557HE6dOggSdq7d%2B9xj//iiy9q1KhR6ty5s3PZ9u3bVVFRoZSUFO3YsUO9e/fWrFmzTig8EZQAAMAJyczMVEZGhsuy1NRUpaWledy3srJShYWFTa4rLy%2BXJLVu3dq5rOHf1dXVbo%2B5a9cuffXVV5o9e7bL8vz8fB08eFB33XWXwsPDtXTpUk2ePFkffvihwsPDPdYqEZQAALCsluoojR07VsnJyS7LoqOjvdo3NzfXOdn612bOnCmpPhQFBQU5/y1JISEhbo%2B5du1a9e7dWz179nRZ/vLLL%2Bvo0aPOK9wWLVqkSy65RJ9%2B%2Bqmuuuoqr%2BolKAEAYFEtFZRiYmJOepht4MCB2rJlS5PrCgsLtXDhQhUXF6tLly6SfhmOO14Q%2B9e//qXf//73jZa3bt3apTsVFBSkLl26uO1oNYU7cwMAAJ/QsWNHxcbGKisry7ksKytLsbGxboOZw%2BHQt99%2Bq8TExEbLhw0bplWrVjmXlZeX68cff1T37t29romOEgAAFuWPtwcYN26cFi1apE6dOkmSnnzySd10003O9fv27VNQUJBzOG3Pnj06cuRIo2E3m82mIUOGaPHixTrttNPUvn17PfPMM%2BrUqZMuueQSr%2BshKAEAAJ8xZcoUlZaWKjU1VXa7XWPGjNHkyZOd68eMGaNRo0Y5J46XlpZKktq2bdvoWDNnzlRgYKBmzJihw4cP6/zzz9eLL74ou93udT02h8Ph8HbjzZs3q6KiolF7y2fs2mV2BZ61aiV16iTt3SsdPWp2NR4dijz5m3SdKgEBUliYdOSI7//11Kay2PNGviAwUGrXTvKHNJsAABKqSURBVNq/X6qpMbua46pt790EUrPZ7VJtrdlVeMceaDO7BM8SEqTsbCkxUcrJMbsaz7x/qW1Wgwa1zHG//LJljuuLTmiO0vTp07Vz584WKgUAADSnurqW%2BfgtYTI3AACAG14HpZSUFO3Zs0fp6em68cYb9eijj7qsv/XWW/XnP/9Z69ev18UXX6wVK1Zo4MCBuuCCC/T888%2B7bPvmm28qOTlZCQkJSklJcXuZIAAAOHl0lIzzejL34sWLdc011zhnnr/88suaPXu2bDabDh06pC%2B%2B%2BEIzZszQvn37VFpaqvfee0/Lli1TQUGB7r33XkVFRem6667TP/7xD2VkZGju3Lnq1q2b3nvvPU2cOFEff/xxkxOx3Gny9ul1dYrx8oZXpgkMdP3s4wL8oOfYUKM/1Oov/%2B9qmOh4AhMeYSEJCWZX4Fl8vOtnX%2BYPc6jglte/tSMjI2W329WmTRsNGzZMCxcuVHZ2tvr3769169apW7duOuuss7R%2B/XrV1NToscceU3x8vPr06aNJkybpzTff1HXXXaeXXnpJ06ZN09ChQyVJd955pz7//HP93//9n1JSUrwuvMnbp0%2BfrrTbb/f6GKb673vX%2BLowsws4Ace5aavvCGtndgUnJiLC7Ao88qco5ze5Mzvb7Aq898YbZlfgmc28yfG/te5PSzipP28jIiJ08cUX66OPPlL//v31t7/9TVdccYVzfWhoqOKPSfm/%2B93vtGzZMkn1b1C3cOFCPfXUU871VVVVJzxJvMnbp9fV1V9N5ssCA%2BtDUkmJz19NJElH2nQyuwSPAgLqQ1JFhe//Ugir3m92Cd6x2%2BtDUlmZz1%2BqVRvhH%2BHTr656O89Hr2w%2BVnx8fUgaP17KyzO7Gp/l678T/cFJjwNceeWVeuKJJ5SWlqZ///vfuv/%2B%2B3856K%2BGF%2Brq6mT7b6Kura3VrFmzNOhX1yx6%2B%2BZ0DZq8ffquXX5xyb2k%2BpDkB7X60w%2BZX4yd%2B0E4dlFb6381wzh/GirKy/OveuF3TnpWR3JyssrKyvTyyy8rLi5Op59%2BunNdWVmZdu/e7fz622%2B/VVxcnCSpW7du2rt3r8444wznx5IlS7RhwwYDTwMAAPwak7n/f3t3H1NV/ccB/H3xCa6iKQFRYipqQhg69TKUKV2aDS6VD22IJIhFEg%2BunOmY4MoRUjjHANOYaBiySAkiWUjqtImaTkERH1BBeSoeJMyLKAr390fz/rzC1QuXy%2BEc3q/NDb/fI7w5Hsbnfr7fe47xulUoyeVylJeXo7m5Gebm5vD09MTu3buhUqk6HRsdHY2ysjIcPHgQP/zwA/z9/QEAQUFBSEtLQ05ODiorKxEfH4/ffvsNDg4OvfMdEREREfWSbi29PX7%2Bys2bN5GcnAxvb28cOHBAZ3/SY/PmzcOyZcsgl8uxZs0avPPOOwAAb29vNDY2IjExEY2NjZg0aRK2b9%2BO8ePH98o3RERERP8ZaN0fU%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%2BmD53B2JiYlBYWPjM4zQaDcLCwvDiiy8iKysL7733HsLDw1FbWwsAqK2tRVhYGBYvXoz9%2B/djzJgxCA0NhUajMTgLl96IiIgkSoxLb3V1dVi7di2qq6sxcuTIZx576tQpVFVV4ccff4RcLoeDgwNOnjyJrKwsREREYN%2B%2BfXB2dsbKlSsBAJs3b8bcuXNx%2BvRpuLq6GpSHHSUiIiLqN0pLS2FnZ4esrCxYWlo%2B89jz58/DyckJcrlcOzZz5kwUFxdr52fNmqWds7CwwOuvv66dNwQ7SkRERBJlqo5SfX09GhoadMasra1hY2Nj9OdWKpVQKpUGHdvQ0NDpa1pZWeHvv/82aN4Q0iqU7O2FTvBc9fX1yExKgq%2BvL2xEkPfZtXz/UF9fj127Mv87p73wQ2pSltZCJzCIznXaz8/pIKEDGKC%2Bvh6ZmSK5RgGgG/s3hKK9RvPzxXFOBWKq/8qkpEwkJyfrjIWHhyMiIuK5//b%2B/fuoq6vrcs7a2lqnO/Q8ra2tGDp0qM7Y0KFD0dbWZtC8IaRVKIlAQ0MDkpOToVQq%2BcPdS3hOex/Pae/i%2Bex9PKfC8vX17dT1sbY27IXg%2BfPnERAQ0OXctm3b8NZbbxmcY9iwYWhubtYZa2trg7m5uXb%2B6aKora3tuXufnsRCiYiIiLrFxsamxwWqq6srrl692is5bG1tcf36dZ2xxsZGbTZbW1s0NjZ2mnd0dDT4a3AzNxEREYmSi4sLSktLcf/%2Bfe3Y2bNn4eLiop0/e/asdq61tRWXLl3SzhuChRIRERGJRlNTE1paWgAACoUCdnZ2iIyMxLVr15CSkoILFy7g/fffBwAsWbIE586dQ0pKCq5du4bIyEiMHTvW4FsDAMCgL7744gtTfCOk3/Dhw6FQKDB8%2BHCho0gGz2nv4zntXTyfvY/nVPrS0tKgUCh0lspUKhXu378PV1dXmJmZwd3dHb/%2B%2BisSExNRV1eHuLg4ODk5AQBGjhwJJycnpKSkYNeuXRg9ejS2bNmCUaNGGZxBpunO7SmJiIiIBhAuvRERERHpwUKJiIiISA8WSkRERER6sFAiIiIi0oOFEhEREZEeLJSIiIiI9GChRERERKQHCyUiIiIiPVgoEREREenBQomIiIhIDxZKJErJyclobW3tNK5WqxEXFydAIiJdZ86cwaNHjzqNt7W14dChQwIkIqKe4LPeTESpVEImkxl07OHDh02cRhrKy8tx%2B/ZtAEBAQACSkpI6PdiwrKwM8fHxKC4uFiKiaC1fvrzL61Umk2HIkCGwtraGl5cX5s2bJ0A6cXJ0dERhYSHGjBmjM15aWgo/Pz9cuHBBoGTidffuXeTm5qKiogKhoaE4f/48HBwcMG7cOKGjkYQNFjqAVEVERGg/rqysRFpaGvz8/DBt2jQMGTIEly5dQnp6OgIDAwVMKS719fVYsWKF9u/h4eGdjrGwsOA57YHZs2cjJSUFb7/9NqZPnw6NRoPS0lLk5eXh3Xffhbm5OdasWYPIyEgsWbJE6Lj9VkZGBjZt2gSZTAaNRoO5c%2Bd2edycOXP6OJn4lZWVITAwEHZ2dtqPCwoKkJ%2Bfj%2B%2B%2B%2Bw4KhULoiCRR7Cj1gcWLFyM4OBheXl4644cOHUJCQgIOHDggUDLxUiqV2L9/f6dX69Qzfn5%2B8PHxgb%2B/v874Tz/9hF9%2B%2BQV79%2B5FQUEBtm7divz8fIFSisOZM2fQ0dGBwMDATl1PmUwGCwsLTJkyBUOHDhUwpfgEBARg1qxZWL16NWbMmIHc3FzY29sjPj4ef/75J/bv3y90RJIodpT6QEVFBaZMmdJp3N7eHjU1NQIkEr8jR47onauvr4eNjU0fphG/S5cuYfPmzZ3GFQoFYmJiAADOzs7466%2B/%2Bjqa6MyePRsAkJubi8mTJ3e5pHn9%2BnVMmjSpr6OJWklJifZafNLSpUuxd%2B9eARLRQMHN3H1g5syZiI2NRV1dnXasqqoKMTExcHd3FzCZeJWXlyM0NBQLFiyAp6cnPD09oVQq4e7uDg8PD6Hjic7UqVORnp6OpxvMGRkZ2l/oJSUleOmll4SIJ0ohISE4efKkztjDhw%2BRkJCARYsWCZRKvMaMGYOKiopO4%2BfOnYOVlZUAiWigYEepD8TGxmL16tWYP38%2BXnjhBWg0Gty5cwdubm5dvkKi54uOjkZ7ezs%2B/PBDxMbGYt26daipqUFGRga%2B%2BuoroeOJTnR0NIKDg3H06FE4OTkBAC5fvgy1Wo0dO3bg7Nmz%2BPzzz7Fx40aBk4rHwoULsWrVKixcuBDr16/HlStXEBUVhQcPHmDLli1CxxOd4OBgREVFISQkBBqNBqdOnUJ2djbS0tLw2WefCR2PJIx7lEyktrYWdnZ2kMlkqK2tBQDcu3cPx44dg0wmg4eHB8zNzQEAL7/8spBRRemNN95AZmYmHB0d4efnh9WrV8PNzQ379u1DTk4OW/E9oFarkZeXh7KyMgwaNAiTJ0%2BGSqWCXC5HdXU11Go1pk6dKnRMUbl%2B/TqioqJQUVGBlpYWfPTRR1i1ahUsLCyEjiZKR44cQWpqKm7cuIH29nZMmDABK1asgLe3t9DRSMLYUTIRpVKJwsJCWFlZ6dwq4HFdGh8fD41GA5lMhsuXLwsZVZQGDx4MS0tLAMDEiRNx%2BfJluLm5Yc6cOfj6668FTidOI0aMgK%2Bvb5dzY8eO7eM00lBRUYHGxkaMHj0ajx49wtWrV9HU1IRXXnlF6GiipFQqoVQqhY5BAwwLJRM5fPiw9h1ZvE9S75sxYwZSU1Oxfv16ODs7Iy8vD0FBQbh48SKGDRsmdDzRqampQUJCAkpKSvDo0aNOe5V4DXdfYGAgiouLsWrVKgQHB6OpqQmbNm2CSqVCcHAwwsLChI4oOvv27UNmZiZu3LgBMzMzvPbaa/jggw/YUSKTYqFkIk%2B%2BYuSrx94XGRmJTz75BPb29li6dCn27NkDhUKBe/fuITQ0VOh4orNu3Tr8888/8Pf3x4gRI4SOIwkdHR3Izs7GxIkTAQC2trbYtm0bCgoKEBMTw0Kpm3bs2IGdO3ciMDAQYWFhaG9vR0lJCaKjo9Hc3Ixly5YJHZEkinuUSDQe7/V6rKOjAw8ePICFhQVaWlpw%2BvRpODs7w9ramvu%2BumnatGnIzs7mW9b7iFqtZkHaTe7u7vjyyy/h6empM37w4EFs3rwZR48eFSYYSR47SiQahjwWhvu%2Bemb8%2BPFoamoSOobk5Obm4vvvv0dlZSWys7OxZ88eWFtb4%2BOPPxY6mug8fPiwy%2B78xIkT0dLSIkAiGihYKJFocJ%2BM6Tx%2B63VQUBBeffVVDBkyRGf%2B8U0UyXAZGRn49ttvERISgvj4eAD/3bQzNjYWbW1tXT6Ch/QLDw9HVFQUYmNjtTfwra2tRVxcHJcxyaS49EZEz3zbPzt0PePl5YX169fDw8ND55Ebx44dw8aNG3Hs2DGhI4rK/Pnzcfv2bbS3t0Mul2Pw4MH4999/tV3kJ/F6pd7EjhLRAPXknq/Dhw9rH%2BT6tOctd1LXamtr4eDg0Gnc3t4ezc3NAiQSt8ddOaK%2BxkKJaIAyZM/XY3yF3n0uLi7IyclBRESEdkyj0WDXrl2YNm2agMnE6dSpU1CpVF0Wn0SmxKU3ogGqOw9k5i0uuu/atWsIDg6GlZUVrly5Ajc3N9y8eROtra3YuXMnHB0dhY4oKiEhISgsLMSECROgUqng7e0Ne3t7oWPRAMBCiYjIBCIjI7Fhwwbk5%2BfrPHJj/vz5iIuLQ2JiotARRUetVuP3339Hfn4%2BTpw4galTp0KlUsHLywu2trZCxyOJYqFERNRLioqKcOvWLQD/L5Sevl9SeXk50tPTce7cOSEiSsbdu3eRmpqK3bt34%2BHDh5g5cyZ8fX3h4%2BMjdDSSGO5RIiLqJRYWFkhKSoJGo4FGo8HOnTthZmamnZfJZJDL5Vi7dq2AKcWtqKgI%2Bfn5KCgowJ07d7BgwQJ4e3ujoaEBW7duxR9//IFvvvlG6JgkIewoERGZwPLly5GcnIxRo0YJHUUSYmJicOjQIdy%2BfRvz5s2DSqWCp6enzrMd8/LyEBUVhaKiIgGTktSwUCIion5v5cqV8PDwwKJFi2Bpaakdv3PnDqKjo5GYmIjKykpUV1djzpw5AiYlqeHSGxER9UtP7vk6efIk3nzzzU536C8vL8fx48cBAOPGjcO4ceP6PCdJGwslIiLql57e85Wamso9X9TnuPRGRET9Hvd8kVBYKBERERHpYfb8Q4iIiIgGJhZKRERERHqwUCIiIiLSg4USERERkR4slIiIiIj0YKFEREREpAcLJSIiIiI9/gdqN2IfoEjfDQAAAABJRU5ErkJggg%3D%3D\" class=\"center-img\">\n",
"</div>\n",
" <div class=\"row headerrow highlight\">\n",
" <h1>Sample</h1>\n",
" </div>\n",
" <div class=\"row variablerow\">\n",
" <div class=\"col-md-12\" style=\"overflow:scroll; width: 100%%; overflow-y: hidden;\">\n",
" <table border=\"1\" class=\"dataframe sample\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>id</th>\n",
" <th>lat</th>\n",
" <th>lng</th>\n",
" <th>text</th>\n",
" <th>type</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>59.962334</td>\n",
" <td>30.269297</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>60.022772</td>\n",
" <td>30.285777</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3</td>\n",
" <td>59.999606</td>\n",
" <td>30.135401</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>59.904712</td>\n",
" <td>30.221232</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>239</td>\n",
" <td>59.921235</td>\n",
" <td>30.271014</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
" </div>\n",
"</div>\n",
"</div>"
],
"text/plain": [
"<pandas_profiling.ProfileReport at 0x7ff09155ba58>"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import requests\n",
"import pandas as pd \n",
"import geopandas as gpd \n",
"import pandas_profiling\n",
"from shapely.geometry import Point\n",
"\n",
"res = requests.get('https://imprecity.ru/api/mark/radius')\n",
"markers = res.json()['markers']\n",
"\n",
"df = pd.DataFrame(markers)\n",
"pandas_profiling.ProfileReport(df)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"ExecuteTime": {
"end_time": "2019-02-01T07:52:59.615682Z",
"start_time": "2019-02-01T07:52:56.719189Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"<meta charset=\"UTF-8\">\n",
"\n",
"<style>\n",
"\n",
" .variablerow {\n",
" border: 1px solid #e1e1e8;\n",
" border-top: hidden;\n",
" padding-top: 2em;\n",
" padding-bottom: 2em;\n",
" padding-left: 1em;\n",
" padding-right: 1em;\n",
" }\n",
"\n",
" .headerrow {\n",
" border: 1px solid #e1e1e8;\n",
" background-color: #f5f5f5;\n",
" padding: 2em;\n",
" }\n",
" .namecol {\n",
" margin-top: -1em;\n",
" overflow-x: auto;\n",
" }\n",
"\n",
" .dl-horizontal dt {\n",
" text-align: left;\n",
" padding-right: 1em;\n",
" white-space: normal;\n",
" }\n",
"\n",
" .dl-horizontal dd {\n",
" margin-left: 0;\n",
" }\n",
"\n",
" .ignore {\n",
" opacity: 0.4;\n",
" }\n",
"\n",
" .container.pandas-profiling {\n",
" max-width:975px;\n",
" }\n",
"\n",
" .col-md-12 {\n",
" padding-left: 2em;\n",
" }\n",
"\n",
" .indent {\n",
" margin-left: 1em;\n",
" }\n",
"\n",
" .center-img {\n",
" margin-left: auto !important;\n",
" margin-right: auto !important;\n",
" display: block;\n",
" }\n",
"\n",
" /* Table example_values */\n",
" table.example_values {\n",
" border: 0;\n",
" }\n",
"\n",
" .example_values th {\n",
" border: 0;\n",
" padding: 0 ;\n",
" color: #555;\n",
" font-weight: 600;\n",
" }\n",
"\n",
" .example_values tr, .example_values td{\n",
" border: 0;\n",
" padding: 0;\n",
" color: #555;\n",
" }\n",
"\n",
" /* STATS */\n",
" table.stats {\n",
" border: 0;\n",
" }\n",
"\n",
" .stats th {\n",
" border: 0;\n",
" padding: 0 2em 0 0;\n",
" color: #555;\n",
" font-weight: 600;\n",
" }\n",
"\n",
" .stats tr {\n",
" border: 0;\n",
" }\n",
"\n",
" .stats td{\n",
" color: #555;\n",
" padding: 1px;\n",
" border: 0;\n",
" }\n",
"\n",
"\n",
" /* Sample table */\n",
" table.sample {\n",
" border: 0;\n",
" margin-bottom: 2em;\n",
" margin-left:1em;\n",
" }\n",
" .sample tr {\n",
" border:0;\n",
" }\n",
" .sample td, .sample th{\n",
" padding: 0.5em;\n",
" white-space: nowrap;\n",
" border: none;\n",
"\n",
" }\n",
"\n",
" .sample thead {\n",
" border-top: 0;\n",
" border-bottom: 2px solid #ddd;\n",
" }\n",
"\n",
" .sample td {\n",
" width:100%;\n",
" }\n",
"\n",
"\n",
" /* There is no good solution available to make the divs equal height and then center ... */\n",
" .histogram {\n",
" margin-top: 3em;\n",
" }\n",
" /* Freq table */\n",
"\n",
" table.freq {\n",
" margin-bottom: 2em;\n",
" border: 0;\n",
" }\n",
" table.freq th, table.freq tr, table.freq td {\n",
" border: 0;\n",
" padding: 0;\n",
" }\n",
"\n",
" .freq thead {\n",
" font-weight: 600;\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
"\n",
" }\n",
"\n",
" td.fillremaining{\n",
" width:auto;\n",
" max-width: none;\n",
" }\n",
"\n",
" td.number, th.number {\n",
" text-align:right ;\n",
" }\n",
"\n",
" /* Freq mini */\n",
" .freq.mini td{\n",
" width: 50%;\n",
" padding: 1px;\n",
" font-size: 12px;\n",
"\n",
" }\n",
" table.freq.mini {\n",
" width:100%;\n",
" }\n",
" .freq.mini th {\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" white-space: nowrap;\n",
" max-width: 5em;\n",
" font-weight: 400;\n",
" text-align:right;\n",
" padding-right: 0.5em;\n",
" }\n",
"\n",
" .missing {\n",
" color: #a94442;\n",
" }\n",
" .alert, .alert > th, .alert > td {\n",
" color: #a94442;\n",
" }\n",
"\n",
"\n",
" /* Bars in tables */\n",
" .freq .bar{\n",
" float: left;\n",
" width: 0;\n",
" height: 100%;\n",
" line-height: 20px;\n",
" color: #fff;\n",
" text-align: center;\n",
" background-color: #337ab7;\n",
" border-radius: 3px;\n",
" margin-right: 4px;\n",
" }\n",
" .other .bar {\n",
" background-color: #999;\n",
" }\n",
" .missing .bar{\n",
" background-color: #a94442;\n",
" }\n",
" .tooltip-inner {\n",
" width: 100%;\n",
" white-space: nowrap;\n",
" text-align:left;\n",
" }\n",
"\n",
" .extrapadding{\n",
" padding: 2em;\n",
" }\n",
"\n",
" .pp-anchor{\n",
"\n",
" }\n",
"\n",
"</style>\n",
"\n",
"<div class=\"container pandas-profiling\">\n",
" <div class=\"row headerrow highlight\">\n",
" <h1>Overview</h1>\n",
" </div>\n",
" <div class=\"row variablerow\">\n",
" <div class=\"col-md-6 namecol\">\n",
" <p class=\"h4\">Dataset info</p>\n",
" <table class=\"stats\" style=\"margin-left: 1em;\">\n",
" <tbody>\n",
" <tr>\n",
" <th>Number of variables</th>\n",
" <td>5 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Number of observations</th>\n",
" <td>1829 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Total Missing (%)</th>\n",
" <td>0.0% </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Total size in memory</th>\n",
" <td>71.5 KiB </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Average record size in memory</th>\n",
" <td>40.0 B </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </div>\n",
" <div class=\"col-md-6 namecol\">\n",
" <p class=\"h4\">Variables types</p>\n",
" <table class=\"stats\" style=\"margin-left: 1em;\">\n",
" <tbody>\n",
" <tr>\n",
" <th>Numeric</th>\n",
" <td>4 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Categorical</th>\n",
" <td>0 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Boolean</th>\n",
" <td>1 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Date</th>\n",
" <td>0 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Text (Unique)</th>\n",
" <td>0 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Rejected</th>\n",
" <td>0 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Unsupported</th>\n",
" <td>0 </td>\n",
" </tr>\n",
" </tbody>\n",
" </table>\n",
" </div>\n",
" <div class=\"col-md-12\" style=\"padding-left: 1em;\">\n",
" \n",
" <p class=\"h4\">Warnings</p>\n",
" <ul class=\"list-unstyled\"><li><a href=\"#pp_var_lng\"><code>lng</code></a> is highly skewed (γ1 = -22.892) <span class=\"label label-info\">Skewed</span></li><li><a href=\"#pp_var_type\"><code>type</code></a> has 1000 / 54.7% zeros <span class=\"label label-info\">Zeros</span></li> </ul>\n",
" </div>\n",
"</div>\n",
" <div class=\"row headerrow highlight\">\n",
" <h1>Variables</h1>\n",
" </div>\n",
" <div class=\"row variablerow\">\n",
" <div class=\"col-md-3 namecol\">\n",
" <p class=\"h4 pp-anchor\" id=\"pp_var_id\">id<br/>\n",
" <small>Numeric</small>\n",
" </p>\n",
" </div><div class=\"col-md-6\">\n",
" <div class=\"row\">\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
" <tr>\n",
" <th>Distinct count</th>\n",
" <td>1829</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Unique (%)</th>\n",
" <td>100.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (n)</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Infinite (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Infinite (n)</th>\n",
" <td>0</td>\n",
" </tr>\n",
" </table>\n",
"\n",
" </div>\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
"\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>1416.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>2456</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Zeros (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
"</div>\n",
"<div class=\"col-md-3 collapse in\" id=\"minihistogram3248512664975066776\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAAShJREFUeJzt3MFtwzAQAME4cEkpwj3lnZ5chHtiGjAWcQBKtDTzF8DP4k588DLGGB/AU597HwBWdt37ALyHr%2B/7y988fm4TTrItgTDNEaKyYkEQCAQr1kRHWDHOzgSBYIIs5j9Th3lMEAgCgXDaFcsPNH9hgkAQCASBQDjEP4irUWYxQSAIBIJAIAgEgkAgCATCIa55t%2BI6%2BXxMEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIy72L5e0pVmKCQBAIhMsYY%2Bx9CFiVCQJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBALhF09/GjlA%2BUksAAAAAElFTkSuQmCC\">\n",
"\n",
"</div>\n",
"<div class=\"col-md-12 text-right\">\n",
" <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives3248512664975066776,#minihistogram3248512664975066776\"\n",
" aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"row collapse col-md-12\" id=\"descriptives3248512664975066776\">\n",
" <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
" <li role=\"presentation\" class=\"active\"><a href=\"#quantiles3248512664975066776\"\n",
" aria-controls=\"quantiles3248512664975066776\" role=\"tab\"\n",
" data-toggle=\"tab\">Statistics</a></li>\n",
" <li role=\"presentation\"><a href=\"#histogram3248512664975066776\" aria-controls=\"histogram3248512664975066776\"\n",
" role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
" <li role=\"presentation\"><a href=\"#common3248512664975066776\" aria-controls=\"common3248512664975066776\"\n",
" role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
" <li role=\"presentation\"><a href=\"#extreme3248512664975066776\" aria-controls=\"extreme3248512664975066776\"\n",
" role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
"\n",
" </ul>\n",
"\n",
" <div class=\"tab-content\">\n",
" <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles3248512664975066776\">\n",
" <div class=\"col-md-4 col-md-offset-1\">\n",
" <p class=\"h4\">Quantile statistics</p>\n",
" <table class=\"stats indent\">\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5-th percentile</th>\n",
" <td>385.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q1</th>\n",
" <td>926</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Median</th>\n",
" <td>1447</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q3</th>\n",
" <td>1980</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95-th percentile</th>\n",
" <td>2361.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>2456</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Range</th>\n",
" <td>2455</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Interquartile range</th>\n",
" <td>1054</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" <div class=\"col-md-4 col-md-offset-2\">\n",
" <p class=\"h4\">Descriptive statistics</p>\n",
" <table class=\"stats indent\">\n",
" <tr>\n",
" <th>Standard deviation</th>\n",
" <td>639.24</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Coef of variation</th>\n",
" <td>0.45126</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Kurtosis</th>\n",
" <td>-1.1594</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>1416.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MAD</th>\n",
" <td>550.8</td>\n",
" </tr>\n",
" <tr class=\"\">\n",
" <th>Skewness</th>\n",
" <td>-0.14379</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sum</th>\n",
" <td>2590911</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Variance</th>\n",
" <td>408620</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory size</th>\n",
" <td>14.4 KiB</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram3248512664975066776\">\n",
" <img 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7dO0adN0ySWX%2BLocAACA783vAtbOnTu1bt06JSYm%2BroUAACAC%2BJ3t2kICwvTgAEDfF0GAADABfO7gDVjxgytW7dOzc3Nvi4FAADggvjdKcLa2lpt3rxZH3zwgS6//HIFBwd79b/00ks%2Bqgzwb9ev%2BtjXJQAA/pffBSxJSk9P93UJAAAAF8zvAlZubq6vSwAAALgofncNliRVVVUpPz9fixcv1v/8z//ovffe06FDh3xdFgAAQIf4XcD68ssvNX36dL355pv63e9%2Bp9OnT2vLli3KyMiQy%2BXydXkAAADt8ruA9eijj2rixIl6//339YMf/ECS9MQTT2jChAl67LHHfFwdAABA%2B/wuYO3Zs0cLFizw%2BmFnp9OpO%2B%2B8UyUlJT6sDAAAoGP8LmC1tLSopaWlVfupU6cUFBTkg4oAAAC%2BH78LWCkpKVqzZo1XyKqtrVVeXp7Gjx/vw8oAAAA6xu8C1n333ad9%2B/YpJSVFDQ0N%2Bud//melpaXp8OHDWrJkia/LAwAAaJff3QcrOjpab731ljZv3qz9%2B/erpaVFN910k2bMmKG%2Bffv6ujwAAIB2%2BV3AkqTQ0FDNnj3b12UAAABcEL8LWPPmzWuzn98iBAAA/s7vAtbgwYO9njc1NenLL7/UwYMHdcstt/ioKgAAgI7zu4B1vt8iLCgoUGVlZRdXAwAA8P353bcIz2fGjBl69913fV0GAABAuwImYP3pT3/iRqMAACAg%2BN0pwnNd5H7y5En9%2Bc9/1pw5c3xQEQAAwPfjdwErJibG63cIJekHP/iB5s6dq5/85Cc%2BqgoAAKDj/C5gPfroo74uAQAA4KL4XcDavXt3h1979dVXd2IlAAAAF8bvAtZPf/pTzylCY4yn/ew2h8Oh/fv3d32BAAAA7fC7gLV69Wrl5OTonnvuUVJSkoKDg/Xpp59q%2BfLluuGGGzR16lRflwgAANAmv7tNQ25urh566CFNnjxZ/fr1U58%2BfTR%2B/HgtX75cr776qgYPHux5AAAA%2BCO/C1hVVVXnDE99%2B/ZVTU2NDyoCAAD4fvwuYMXFxemJJ57QyZMnPW21tbXKy8vTNddc48PKAAAAOsbvrsF64IEHNG/ePF177bUaMmSIjDH64osvFBkZqZdeesnX5QEAALTL7wLWsGHDtGXLFm3evFnl5eWSpJtvvlnTpk1TaGioj6sDAABon98FLEm69NJLNXv2bB0%2BfFiXX365pG/v5g4AABAI/O4aLGOMHnvsMV199dVKT09XZWWllixZomXLlumbb77xdXkAAADt8ruA9fLLL%2Bvtt9/Wv/3bvyk4OFiSNHHiRL3//vvKz8/3cXUAAADt87uAVVhYqIceekizZs3y3L196tSpysnJ0W9/%2B1sfVwcAANA%2BvwtYhw8f1siRI1u1jxgxQm632wcVAQAAfD9%2BF7AGDx6sTz/9tFX7hx9%2B6LngHQAAwJ/53bcIb731Vv3qV7%2BS2%2B2WMUY7duxQYWGhXn75Zd13332%2BLg8AAKBdfhewMjIy1NTUpF//%2Bteqr6/XQw89pP79%2B%2Buuu%2B7STTfd5OvyAAAA2uV3AWvz5s2aMmWKMjMzdfz4cRljNGDAAF%2BXBQAA0GF%2Bdw3W8uXLPRez9%2B/fn3AFAAACjt8FrCFDhujgwYPWltfY2Kj09HTt2rXL01ZRUaH58%2BcrLi5OU6dO1bZt27zes337dqWnpys2Nlbz5s1TRUWFtXoAAED353enCEeMGKFf/OIXWrdunYYMGaKQkBCv/tzc3A4vq6GhQYsXL1ZpaamnzRijrKwsDR8%2BXJs2bdL777%2BvhQsXasuWLYqJidGRI0eUlZWlRYsWKTU1VQUFBbrzzjv1zjvveO7LBQAA0Ba/C1iff/65EhISJOmi7ntVVlamxYsXyxjj1b5z505VVFTotddeU1hYmIYNG6YdO3Zo06ZNWrRokV5//XVdddVV%2BtnPfibp20CXnJysTz75ROPGjbvwFQMAAD2GXwSslStXauHChQoLC9PLL79sZZlnAtG//uu/Ki4uztPucrl05ZVXKiwszNOWkJCg4uJiT39iYqKnLzQ0VKNGjVJxcTEBCwAAdIhfBKwXXnhBt956q1fouf3225WTk6OoqKgLWuacOXPO2e52u1stc8CAAaqsrOxQf0dUVVW1OvrmdIZd8LqcT1BQL68/AQAIVE7n%2Bfdlgbi/84uAdfZpPEnavXu3GhoarH9WXV2d50ekzwgODlZjY2OH%2BjuisLCw1Q9TZ2VlKTs7%2BwKrblt4eGinLBcAgK7Sr1%2Bfdl8TSPs7vwhYXSkkJES1tbVebY2Njerdu7en/%2Bww1djYqPDw8A5/RmZmpiZMmODV5nSGqabm1AVWfW5BQb0UHh6qEyfq1NzcYnXZAAB0pbb2kRezv%2BtIcOsMPS5gRUdHq6yszKuturrac/ouOjpa1dXVrfrP9QPU5xMVFdXqdKDb/bWamjonBDU3t3TasgEA6Aod2Y8F0v7Ob05mdtUtEGJjY/XZZ5%2Bpvr7e01ZUVKTY2FhPf1FRkaevrq5OJSUlnn4AAID2%2BM0RrJycHK97Xn3zzTfKy8tTnz7eh/a%2Bz32wziUpKUmDBg3S0qVLdeedd%2BqPf/yj9u7d61luRkaG1q9fr7Vr1yotLU0FBQW67LLL%2BAYhAADoML8IWFdffXWrb93Fx8erpqZGNTU1Vj8rKChIzz77rJYtW6ZZs2bphz/8oQoKChQTEyNJuuyyy/TMM8/okUceUUFBgeLj41VQUMBNRgEAQIc5zLm%2Bwgfr3O6vrS/T6eylfv36qKbmVECck75%2B1ce%2BLgEA4KfevSv5vH0Xs7%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%2BuxMRE/eY3v1F8fLzuuOMOnT592tclAwCAANFjA1Z5ebmGDx%2BuyMhIzyM8PFxbtmxRSEiI7r33Xg0bNkzLli1Tnz599N577/m6ZAAAECB6dMAaMmRIq3aXy6WEhAQ5HA5JksPh0NixY1VcXNzFFQIAgEDVIwOWMUaff/65tm3bpsmTJ2vixIl67LHH1NjYKLfbraioKK/XDxgwQJWVlT6qFgAABBqnrwvwhSNHjqiurk7BwcFatWqVDh8%2BrJycHNXX13vavys4OFiNjY0dXn5VVZXcbrdXm9MZ1iq4XaygoF5efwIAEKiczvPvywJxf9cjA9bgwYO1a9cuXXrppXI4HBo5cqRaWlp0zz33KCkpqVWYamxsVO/evTu8/MLCQuXn53u1ZWVleb6laFt4eGinLBcAgK7Sr1%2Bfdl8TSPu7HhmwJCkiIsLr%2BbBhw9TQ0KDIyEhVV1d79VVXV3%2Bvo0%2BZmZmaMGGCV5vTGaaamlMXXvA5BAX1Unh4qE6cqFNzc4vVZQMA0JXa2kdezP6uI8GtM/TIgPXRRx/pF7/4hT744AOFhn6bhvfv36%2BIiAglJCToueeekzFGDodDxhjt2bNHP//5zzu8/KioqFaBzO3%2BWk1NnROCmptbOm3ZAAB0hY7sxwJpfxc4JzMtio%2BPV0hIiB544AEdOnRI//Vf/6WVK1fqtttu05QpU3TixAk9/PDDKisr08MPP6y6ujpdf/31vi4bAAAEiB4ZsPr27av169fr%2BPHjysjI0LJly5SZmanbbrtNffv21Zo1a1RUVKRZs2bJ5XJp7dq1CgsL83XZAAAgQPTIU4SS9OMf/1gvvPDCOfvGjBmjN998s4srAgAA3UWPPIIFAADQmQhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsc/q6AFycxGXv%2BboEAABwFo5gAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwDqHhoYG3X///UpMTFRKSoqef/55X5cEAAACCD%2BVcw4rV67Uvn37tGHDBh05ckRLlixRTEyMpkyZ4uvSAABAACBgneX06dN6/fXX9dxzz2nUqFEaNWqUSktL9corrxCwAABAh3CK8CwHDhxQU1OT4uPjPW0JCQlyuVxqaWnxYWUAACBQcATrLG63W/369VNwcLCnbeDAgWpoaFBtba369%2B/f7jKqqqrkdru92pzOMEVFRVmtNSiIfAwA6B6czvPv087s7wJpv0fAOktdXZ1XuJLked7Y2NihZRQWFio/P9%2BrbeHChVq0aJGdIv9XVVWVbvl/pcrMzLQe3vCtqqoqFRYWMsadhPHtfIxx52OMO19VVZU2bFgXUGMcOFGwi4SEhLQKUmee9%2B7du0PLyMzM1G9%2B8xuvR2ZmpvVa3W638vPzWx0tgz2McedifDsfY9z5GOPOF4hjzBGss0RHR6umpkZNTU1yOr8dHrfbrd69eys8PLxDy4iKigqYhA0AAOzjCNZZRo4cKafTqeLiYk9bUVGRRo8erV69GC4AANA%2BEsNZQkNDNXPmTP3yl7/U3r179f777%2Bv555/XvHnzfF0aAAAIEEG//OUvf%2BnrIvzN%2BPHjVVJSoscff1w7duzQz3/%2Bc2VkZPi6rHPq06ePkpKS1KdPH1%2BX0m0xxp2L8e18jHHnY4w7X6CNscMYY3xdBAAAQHfCKUIAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQSsANTQ0KD7779fiYmJSklJ0fPPP%2B/rkgLS1q1bdcUVV3g9srOzJUklJSWaPXu2YmNjlZGRoX379nm9d/PmzZo4caJiY2OVlZWl48eP%2B2IV/FJjY6PS09O1a9cuT1tFRYXmz5%2BvuLg4TZ06Vdu2bfN6z/bt25Wenq7Y2FjNmzdPFRUVXv0vvviiUlNTFR8fr/vvv191dXVdsi7%2B6lxjnJOT02o%2Bb9y40dPf1pw1xuixxx7T%2BPHjlZSUpJUrV6qlpaVL18lfHDt2TNnZ2UpKSlJqaqpyc3PV0NAgiXlsS1tj3K3msUHAWb58uZk%2BfbrZt2%2Bf%2Bf3vf2/i4%2BPNu%2B%2B%2B6%2BuyAs6zzz5r7rjjDlNVVeV5/PWvfzWnTp0yycnJ5tFHHzVlZWVmxYoV5m//9m/NqVOnjDHGuFwuM2bMGPPmm2%2Ba/fv3m7lz55rbb7/dx2vjH%2Brr601WVpYZPny42blzpzHGmJaWFjN9%2BnSzePFiU1ZWZlavXm1iY2PNV199ZYwx5quvvjJxcXFm/fr15uDBg%2BZf/uVfTHp6umlpaTHGGPPee%2B%2BZhIQE85//%2BZ/G5XKZqVOnml/96lc%2BW0dfO9cYG2PM/PnzzZo1a7zm8%2BnTp40x7c/Z9evXm%2Buuu87s3r3b7Nixw6SkpJh169Z1%2Bbr5WktLi/nHf/xHc9ttt5mDBw%2Ba3bt3m0mTJplHH32UeWxJW2NsTPeaxwSsAHPq1CkzevRorw1rQUGBmTt3rg%2BrCkyLFy82jz/%2BeKv2119/3UyYMMGzYWxpaTGTJk0ymzZtMsYYc88995glS5Z4Xn/kyBFzxRVXmL/85S9dU7ifKi0tNT/5yU/M9OnTvXb%2B27dvN3HFtfSuAAAHAklEQVRxcZ6Aaowxt9xyi3n66aeNMcasWrXKa/6ePn3axMfHe94/Z84cz2uNMWb37t1mzJgxno1uT3K%2BMTbGmNTUVPPRRx%2Bd833tzdnrrrvOM7%2BNMeatt94yaWlpnbQW/qusrMwMHz7cuN1uT9tvf/tbk5KSwjy2pK0xNqZ7zWNOEQaYAwcOqKmpSfHx8Z62hIQEuVyuHntI/0KVl5dryJAhrdpdLpcSEhLkcDgkSQ6HQ2PHjlVxcbGnPzEx0fP6QYMGKSYmRi6Xq0vq9leffPKJxo0bp8LCQq92l8ulK6%2B8UmFhYZ62hISE845naGioRo0apeLiYjU3N%2BvTTz/16o%2BLi9M333yjAwcOdPIa%2BZ/zjfHJkyd17Nixc85nqe05e%2BzYMR09elRXX321pz8hIUFfffWVqqqqOmU9/FVkZKTWrVungQMHerWfPHmSeWxJW2Pc3eax0yefigvmdrvVr18/BQcHe9oGDhyohoYG1dbWqn///j6sLnAYY/T5559r27ZtWrNmjZqbmzVlyhRlZ2fL7XbrRz/6kdfrBwwYoNLSUklSVVWVoqKiWvVXVlZ2Wf3%2BaM6cOedsd7vdbY5XW/0nTpxQQ0ODV7/T6VRERESPHO/zjXF5ebkcDodWr16tDz/8UBEREVqwYIFuuOEGSW3PWbfbLUle/Wd2fpWVla3e152Fh4crNTXV87ylpUUbN27U%2BPHjmceWtDXG3W0eE7ACTF1dnVe4kuR53tjY6IuSAtKRI0c8Y7lq1SodPnxYOTk5qq%2BvP%2B8Ynxnf%2Bvr6Nvvhrb3xbKu/vr7e8/x874d06NAhORwODR06VHPnztXu3bv14IMPqm/fvpo0aVKbc/ZcY8w25Vt5eXkqKSnRG2%2B8oRdffJF53Am%2BO8afffZZt5rHBKwAExIS0mqynHneu3dvX5QUkAYPHqxdu3bp0ksvlcPh0MiRI9XS0qJ77rlHSUlJ5xzjM%2BN7vr%2BD0NDQLqs/kISEhKi2ttarrSPjGR4erpCQEM/zs/sZ7/8zc%2BZMpaWlKSIiQpI0YsQIffHFF3r11Vc1adKkNufsd3dCZ493Tx7jvLw8bdiwQU8%2B%2BaSGDx/OPO4EZ4/xj3/84241j7kGK8BER0erpqZGTU1Nnja3263evXsrPDzch5UFnoiICM91VpI0bNgwNTQ0KDIyUtXV1V6vra6u9hxijo6OPmd/ZGRk5xcdgM43Xh0Zz4iICIWEhHj1NzU1qba2lvH%2BDofD4dkpnTF06FAdO3ZMUttjHB0dLUmeUyzf/e%2BeOsYrVqzQCy%2B8oLy8PE2ePFkS89i2c41xd5vHBKwAM3LkSDmdTs%2BFlZJUVFSk0aNHq1cv/jo76qOPPtK4ceO87kOzf/9%2BRUREKCEhQX/6059kjJH07fVae/bsUWxsrCQpNjZWRUVFnvcdPXpUR48e9fTDW2xsrD777DPPIXzp2zl7vvGsq6tTSUmJYmNj1atXL40ePdqrv7i4WE6nUyNGjOi6lfBzTz31lObPn%2B/VduDAAQ0dOlRS23M2OjpaMTExXv1FRUWKiYnpUddfnZGfn6/XXntNTzzxhKZNm%2BZpZx7bc74x7nbz2GffX8QFe/DBB820adOMy%2BUyW7duNWPHjjW/%2B93vfF1WQPn6669Namqqufvuu015ebn54IMPTEpKilm7dq35%2Buuvzfjx482KFStMaWmpWbFihUlOTvZ8PXvPnj1m1KhR5j/%2B4z8892K54447fLxG/uW7txBoamoyU6dONXfddZc5ePCgWbNmjYmLi/PcP6iiosKMHj3arFmzxnP/oOnTp3tuk7F582YzduxYs3XrVuNyucy0adPMihUrfLZu/uK7Y%2BxyucyVV15p1q1bZ7788kvzyiuvmKuuusrs2bPHGNP%2BnF2zZo1JSUkxO3fuNDt37jQpKSnm%2Beef98l6%2BVJZWZkZOXKkefLJJ73uw1RVVcU8tqStMe5u85iAFYBOnz5t7r33XhMXF2dSUlLMCy%2B84OuSAtLBgwfN/PnzTVxcnElOTjbPPPOMZ2PocrnMzJkzzejRo82NN95oPvvsM6/3btq0yVx33XUmLi7OZGVlmePHj/tiFfzW2fdo%2BuKLL8zNN99srrrqKjNt2jTz8ccfe73%2Bgw8%2BMP/wD/9gxowZY2655ZZW9xRbs2aNueaaa0xCQoJZunSpqa%2Bv75L18Gdnj/HWrVvN9OnTzejRo82UKVNa/aOrrTnb1NRkHnnkEZOYmGjGjRtn8vLyPP8v9CRr1qwxw4cPP%2BfDGOaxDe2NcXeaxw5j/vc8CAAAAKzgoh0AAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsOz/A/HzRGew7dp7AAAAAElFTkSuQmCC\"/>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common3248512664975066776\">\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">2047</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1340</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1344</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1346</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1348</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1350</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1352</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1354</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1358</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1360</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"other\">\n",
" <td class=\"fillremaining\">Other values (1819)</td>\n",
" <td class=\"number\">1819</td>\n",
" <td class=\"number\">99.5%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme3248512664975066776\">\n",
" <p class=\"h4\">Minimum 5 values</p>\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">1</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">3</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">4</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">239</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" <p class=\"h4\">Maximum 5 values</p>\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">2451</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2452</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2453</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2454</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2456</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" </div>\n",
"</div>\n",
"</div><div class=\"row variablerow\">\n",
" <div class=\"col-md-3 namecol\">\n",
" <p class=\"h4 pp-anchor\" id=\"pp_var_lat\">lat<br/>\n",
" <small>Numeric</small>\n",
" </p>\n",
" </div><div class=\"col-md-6\">\n",
" <div class=\"row\">\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
" <tr>\n",
" <th>Distinct count</th>\n",
" <td>1825</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Unique (%)</th>\n",
" <td>99.8%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (n)</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Infinite (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Infinite (n)</th>\n",
" <td>0</td>\n",
" </tr>\n",
" </table>\n",
"\n",
" </div>\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
"\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>59.882</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>37.445</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>68.975</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Zeros (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
"</div>\n",
"<div class=\"col-md-3 collapse in\" id=\"minihistogram-6134611952070096437\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAAPxJREFUeJzt1bENQkEMBUE%2BoiSKoCdieqIIejINoJUI4C6YyS29ZOVjZuYEfHRePQB2dlk9gP%2B73p9f37wetx8s2Z8PAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQjpmZ1SNgVz4IBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIhDet3wuP2/4/EwAAAABJRU5ErkJggg%3D%3D\">\n",
"\n",
"</div>\n",
"<div class=\"col-md-12 text-right\">\n",
" <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-6134611952070096437,#minihistogram-6134611952070096437\"\n",
" aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"row collapse col-md-12\" id=\"descriptives-6134611952070096437\">\n",
" <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
" <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-6134611952070096437\"\n",
" aria-controls=\"quantiles-6134611952070096437\" role=\"tab\"\n",
" data-toggle=\"tab\">Statistics</a></li>\n",
" <li role=\"presentation\"><a href=\"#histogram-6134611952070096437\" aria-controls=\"histogram-6134611952070096437\"\n",
" role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
" <li role=\"presentation\"><a href=\"#common-6134611952070096437\" aria-controls=\"common-6134611952070096437\"\n",
" role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
" <li role=\"presentation\"><a href=\"#extreme-6134611952070096437\" aria-controls=\"extreme-6134611952070096437\"\n",
" role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
"\n",
" </ul>\n",
"\n",
" <div class=\"tab-content\">\n",
" <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-6134611952070096437\">\n",
" <div class=\"col-md-4 col-md-offset-1\">\n",
" <p class=\"h4\">Quantile statistics</p>\n",
" <table class=\"stats indent\">\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>37.445</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5-th percentile</th>\n",
" <td>59.845</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q1</th>\n",
" <td>59.922</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Median</th>\n",
" <td>59.94</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q3</th>\n",
" <td>59.963</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95-th percentile</th>\n",
" <td>60.032</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>68.975</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Range</th>\n",
" <td>31.53</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Interquartile range</th>\n",
" <td>0.040807</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" <div class=\"col-md-4 col-md-offset-2\">\n",
" <p class=\"h4\">Descriptive statistics</p>\n",
" <table class=\"stats indent\">\n",
" <tr>\n",
" <th>Standard deviation</th>\n",
" <td>0.80212</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Coef of variation</th>\n",
" <td>0.013395</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Kurtosis</th>\n",
" <td>395.18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>59.882</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MAD</th>\n",
" <td>0.1377</td>\n",
" </tr>\n",
" <tr class=\"\">\n",
" <th>Skewness</th>\n",
" <td>-15.873</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sum</th>\n",
" <td>109520</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Variance</th>\n",
" <td>0.6434</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory size</th>\n",
" <td>14.4 KiB</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-6134611952070096437\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzt3XtUVPX%2B//HXwAQihKAO5m2pmIqZIoqXjtpRj6WmK%2B9x9JuX1GMlyurr/VJmhtHXSycLs7xkqR1Dy5Nldlp1vmV5SvNg4i1K0corDAXiBRiB%2Bf3hz/k2DnowN3Pj%2BVhrls1nz8x%2B7zcfptfanz2DyW632wUAAADDBHi6AAAAAH9DwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgZk8XUFVYrec9XUKlCggwqWbNUP3660WVldk9XY5XoCfloy%2Bu6IkreuKKnriqSE8sltvdXNUVnMGCIQICTDKZTAoIMHm6FK9BT8pHX1zRE1f0xBU9ceXNPSFgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGMzs6QIAAFVX3xf/5ekSbspHT3TxdAnwEZzBAgAAMBgBCwAAwGAELAAAAIMRsAAAAAzm8wHLZrOpf//%2B2r17tyRp1qxZatGihctt1KhRjufEx8e7bL948aIkqbi4WHPmzFF8fLy6du2q119/3SPHBQAAfJdPf4qwuLhYU6dO1ZEjRxxjc%2BfO1dSpUx33T506pZEjRzoCVnZ2ts6fP69PP/1U1apVczyuevXqkqRFixbp4MGDevPNN3X69GnNnDlT9erVU58%2Bfdx0VAAAwNf5bMA6evSopk6dKrvd7jR%2B%2B%2B236/bbb3fcnzVrlvr06aNevXpJkrKysmSxWNSwYUOX17x06ZI2b96sVatWqVWrVmrVqpWOHDmit956i4AFAAAqzGeXCL/55ht16tRJaWlp133M119/rT179mjKlCmOsaNHj6pJkyblPj4zM1MlJSWKi4tzjLVv314ZGRkqKyszrngAAODXfPYM1ogRI/7jY1auXKlBgwapbt26jrGsrCwVFhZq5MiROn78uFq2bKk5c%2BaoSZMmslqtioyMVFBQkOPxtWvXVnFxsfLz81WzZs0K1ZaTkyOr1eo0ZjZXV1RUVAWPzvcEBgY4/Qt6cj30xRU98R1ms%2Bd%2BRswTV97cE58NWP/JiRMntGvXLs2dO9dp/NixYzp37pymTJmisLAwrVq1SmPGjNGHH36owsJCp3AlyXHfZrNVeN9paWlKTU11GktMTFRSUtLvPBrfER4e4ukSvA49KR99cUVPvF9kZKinS2CelMMbe%2BK3Aevjjz9Wy5YtdeeddzqNr1mzRpcvX1Zo6JVfkiVLluiPf/yjPvvsMwUHB7sEqav3f3tB/H%2BSkJCgnj17Oo2ZzdWVl3fx9xyKTwgMDFB4eIgKCgpVWspyqkRProe%2BuKInvsOT7%2BPME1cV6YmnQrHfBqwvv/xSf/rTn1zGg4KCnM5SBQcHq0GDBsrOzla7du2Ul5enkpISmc1XWmO1WlWtWjWFh4dXeN9RUVEuy4FW63mVlPj/L0RpaVmVOM6bQU/KR19c0RPv5w0/H%2BaJK2/sifctWhrAbrfrwIEDateunct4r169tGXLFsfYpUuX9NNPPyk6OlotW7aU2WzWvn37HNvT09PVunVrBQT4ZasAAEAl8MszWKdOndLFixddlgdNJpO6d%2B%2Bul19%2BWfXr11fNmjW1bNky3XHHHfrjH/%2BowMBADRw4UPPnz9dzzz2nnJwcvf7660pJSfHQkQAAAF/klwHrl19%2BkSTVqFHDZdv06dNlNps1depUXbhwQZ07d9bKlSsVGBgoSZo9e7bmz5%2Bv0aNHKywsTJMnT9b999/v1voBAIBvM9mv/aZOVAqr9bynS6hUZnOAIiNDlZd30evWwT2FnpSPvriqyj3p%2B%2BK/PF3CTfnoiS4e23dVnifXU5GeWCy3lzte2biwCAAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACD%2BXzAstls6t%2B/v3bv3u0YS05OVosWLZxuGzZscGzftm2bevXqpdjYWCUmJurXX391bLPb7VqyZIk6d%2B6sjh07atGiRSorK3PrMQEAAN9m9nQBt6K4uFhTp07VkSNHnMazsrI0depUDRo0yDEWFhYmSdq/f7/mzp2rZ555RjExMVq4cKFmz56t1157TZK0du1abdu2TampqSopKdH06dNVq1YtjRs3zn0HBgAAfJrPnsE6evSoHnroIf38888u27KysnTXXXfJYrE4biEhIZKkDRs2qG/fvho4cKBiYmK0aNEi7dixQydOnJAkrVu3TklJSYqPj1fnzp01bdo0vfXWW249NgAA4Nt8NmB988036tSpk9LS0pzGL1y4oOzsbDVu3Ljc52VkZCg%2BPt5xv27duqpXr54yMjKUnZ2tM2fOqEOHDo7t7du316lTp5STk1MpxwEAAPyPzy4RjhgxotzxrKwsmUwmvfrqq/riiy8UERGhRx55xLFcmJOTo6ioKKfn1KpVS2fPnpXVapUkp%2B21a9eWJJ09e9bledeTk5PjeK2rzObqFX6%2BLwoMDHD6F/TkeuiLK3riO8xmz/2MmCeuvLknPhuwrufYsWMymUyKjo7Www8/rD179uipp55SWFiY7rvvPhUVFSkoKMjpOUFBQbLZbCoqKnLc/%2B026crF9BWVlpam1NRUp7HExEQlJSX93sPyGeHhIZ4uwevQk/LRF1f0xPtFRoZ6ugTmSTm8sSd%2BF7AGDhyoHj16KCIiQpIUExOjH3/8URs3btR9992n4OBgl7Bks9kUEhLiFKaCg4Md/y3JcQ1XRSQkJKhnz55OY2ZzdeXlXfzdx%2BXtAgMDFB4eooKCQpWW8qlLiZ5cD31xRU98hyffx5knrirSE0%2BFYr8LWCaTyRGuroqOjtauXbskSXXq1FFubq7T9tzcXFksFtWpU0eSZLVa1aBBA8d/S5LFYqlwDVFRUS7LgVbreZWU%2BP8vRGlpWZU4zptBT8pHX1zRE%2B/nDT8f5okrb%2ByJ9y1a3qJly5ZpzJgxTmOZmZmKjo6WJMXGxio9Pd2x7cyZMzpz5oxiY2NVp04d1atXz2l7enq66tWr59fXTwEAAGP53RmsHj16aOXKlVqzZo3uu%2B8%2B7dy5U%2B%2B9957WrVsnSRo%2BfLhGjhyptm3bqnXr1lq4cKG6d%2B%2Buhg0bOrYvWbJEd9xxhyRp6dKlGjt2rMeOBwAA%2BB6/C1ht2rTRsmXL9NJLL2nZsmWqX7%2B%2Bli5dqri4OElSXFycFixYoJdeeknnzp1Tly5d9OyzzzqeP27cOP3yyy%2BaNGmSAgMDNXToUJczYgAAADdistvtdk8XURVYrec9XUKlMpsDFBkZqry8i163Du4p9KR89MVVVe5J3xf/5ekSbspHT3Tx2L6r8jy5nor0xGK53c1VXeF312ABAAB4GgELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGA%2BH7BsNpv69%2B%2Bv3bt3O8b27dunP//5z4qLi1Pv3r21efNmp%2Bc8%2BOCDatGihdPthx9%2BkCTZ7XYtWbJEnTt3VseOHbVo0SKVlZW59ZgAAIBvM3u6gFtRXFysqVOn6siRI44xq9Wqv/zlLxo%2BfLief/55HTp0SLNnz5bFYlH37t1VWlqqH3/8URs2bFDjxo0dz4uMjJQkrV27Vtu2bVNqaqpKSko0ffp01apVS%2BPGjXP34QEAAB/lswHr6NGjmjp1qux2u9P4p59%2Bqtq1a2vKlCmSpMaNG2v37t364IMP1L17d508eVKXL19WmzZtFBwc7PK669atU1JSkuLj4yVJ06ZN07JlywhYAACgwnx2ifCbb75Rp06dlJaW5jTerVs3paSkuDz%2BwoULkq4Es7p165YbrrKzs3XmzBl16NDBMda%2BfXudOnVKOTk5Bh8BAADwVz57BmvEiBHljjdo0EANGjRw3P/ll1/04YcfavLkyZKkrKws3XbbbXr00Ud18OBBNWnSRDNmzFCbNm1ktVolSVFRUY7n165dW5J09uxZp/EbycnJcbzWVWZz9Qo/3xcFBgY4/Qt6cj30xRU98R1ms%2Bd%2BRswTV97cE58NWBVRVFSkyZMnq3bt2kpISJAkHT9%2BXOfOndOwYcOUlJSkTZs2afTo0dq%2BfbuKiookSUFBQY7XuPrfNputwvtNS0tTamqq01hiYqKSkpJu9ZC8Xnh4iKdL8Dr0pHz0xRU98X6RkaGeLoF5Ug5v7InfBqyLFy9q4sSJ%2BvHHH/W3v/1NISFXmv/ss8%2BqqKhIYWFhkqT58%2Bdr79692rp1q/7whz9IuhKmri4hXg1WV59fEQkJCerZs6fTmNlcXXl5F2/5uLxVYGCAwsNDVFBQqNJSPnUp0ZProS%2Bu6Inv8OT7OPPEVUV64qlQ7JcB68KFCxo/frx%2B/vlnvfnmm06fFjSbzY5wJUkmk0nR0dHKzs5WnTp1JF35JOLVZcarS30Wi6XC%2B4%2BKinJZDrRaz6ukxP9/IUpLy6rEcd4MelI%2B%2BuKKnng/b/j5ME9ceWNPvG/R8haVlZVp0qRJOnnypNavX69mzZo5bR85cqTT8l1ZWZm%2B//57RUdHq06dOqpXr57S09Md29PT01WvXj2/vn4KAAAYy%2B/OYL3zzjvavXu3VqxYofDwcMcZqNtuu00RERHq2bOnli9frpYtW6pJkyZat26dzp8/r0GDBkmShg8friVLluiOO%2B6QJC1dulRjx4712PEAAADf43cB6%2BOPP1ZZWZkeffRRp/GOHTtq/fr1GjNmjIqLi5WcnKzc3FzFxsZq7dq1jmXDcePG6ZdfftGkSZMUGBiooUOHasyYMR44EgAA4KtM9mu/qROVwmo97%2BkSKpXZHKDIyFDl5V30unVwT6En5aMvrqpyT/q%2B%2BC9Pl3BTPnqii8f2XZXnyfVUpCcWy%2B1uruoKv7sGCwAAwNMIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGMztAWvYsGF6%2B%2B23df68f/9tPgAAUHW5PWB17txZr776qrp27aopU6Zo586d4u9NAwAAf%2BL2gDV16lR99tlneuWVVxQYGKjJkyere/fu%2Butf/6rjx4%2B7uxwAAADDmT2xU5PJpC5duqhLly4qLCzU%2BvXr9corr2jlypVq166dRo8erfvvv98TpQEAANwyjwQsScrJydH777%2Bv999/Xz/88IPatWunQYMG6ezZs3ryySe1Z88ezZ0711PlAQAA/G5uD1hbt27V1q1btXv3btWsWVMDBw7USy%2B9pMaNGzseU7duXS1cuJCABQAAfJLbA9bcuXPVo0cPLV%2B%2BXPfee68CAlwvA4uOjtbDDz/s7tIAAAAM4faA9cUXXygyMlL5%2BfmOcLV//361atVKgYGBkqR27dqpXbt27i4NAADAEG7/FOGFCxfUp08frVq1yjE2YcIEDRgwQGfOnHF3OQAAAIZze8B67rnn1KhRIz3yyCOOse3bt6tu3bpKSUlxdzkAAACGc3vA%2Bve//61Zs2bJYrE4xmrWrKkZM2Zo165d7i4HAADAcG4PWGazWQUFBS7jhYWFfKM7AADwC24PWPfee6%2BSk5P1888/O8ZOnDihlJQUdevWzd3lAAAAGM7tnyKcOXOmHnnkEfXu3Vvh4eGSpIKCArVq1UqzZ892dzkAAACGc3vAqlWrlv7%2B97/rq6%2B%2B0pEjR2Q2m3XnnXfqnnvukclkcnc5AAAAhvPIn8oJDAxUt27dWBIEAAB%2Bye0By2q16sUXX9TevXt1%2BfJllwvb//nPf7q7JAAAAEO5PWA99dRTOnjwoPr166fbb7/d3bsHAACodG4PWLt27dLq1asVHx/v7l0DAAC4hdu/pqF69eqqVauWYa9ns9nUv39/7d692zF24sQJjRkzRm3bttUDDzygnTt3Oj3nq6%2B%2BUv/%2B/RUbG6tRo0bpxIkTTtvfeOMNdevWTXFxcZozZ44KCwsNqxcAAPg/twesAQMGaPXq1SotLb3l1youLtaUKVN05MgRx5jdbldiYqJq166td999VwMGDNCkSZN0%2BvRpSdLp06eVmJiowYMH65133lHNmjU1ceJEx7VgH3/8sVJTU7VgwQK9%2BeabysjI0OLFi2%2B5VgAAUHW4fYkwPz9f27Zt0%2Beff66GDRsqKCjIafu6desq9DpHjx7V1KlTXS6S37Vrl06cOKG3335b1atXV9OmTfX111/r3Xff1eTJk7V582bdfffdGjt2rCQpJSVFXbp00TfffKNOnTpp3bp1Gj16tHr06CFJeuaZZzRu3DhNnz5dISEhBnQAAAD4O7efwZKk/v37695771WTJk1Uv359p1tFXQ1EaWlpTuMZGRm66667VL16dcdY%2B/bttW/fPsf2317/FRISolatWmnfvn0qLS3VgQMHnLa3bdtWly9fVmZm5u89XAAAUMW4/QxWSkqKIa8zYsSIcsetVquioqKcxmrVqqWzZ8/%2Bx%2B0FBQUqLi522m42mxUREeF4fkXk5OTIarU6jZnN1V32608CAwOc/gU9uR764oqe%2BA6z2XM/I%2BaJK2/uiUe%2BaDQnJ0ebNm3S8ePHNWfOHO3Zs0fNmzdXdHT0Lb92YWGhy7JjUFCQbDbbf9xeVFTkuH%2B951dEWlqaUlNTncYSExOVlJRU4dfwVeHhLKNei56Uj764oifeLzIy1NMlME/K4Y09cXvA%2Bumnn/TQQw8pLCxM2dnZeuKJJ7R9%2B3bNnj1bb7zxhmJjY2/p9YODg5Wfn%2B80ZrPZVK1aNcf2a8OSzWZTeHi4goODHfev3X4z118lJCSoZ8%2BeTmNmc3Xl5V2s8Gv4msDAAIWHh6igoFClpWWeLscr0JPy0RdX9MR3ePJ9nHniqiI98VQodnvAev7559WrVy8lJyerXbt2kqQXXnhBM2fO1JIlS7R%2B/fpbev06dero6NGjTmO5ubmO5bk6deooNzfXZXvLli0VERGh4OBg5ebmqmnTppKkkpIS5efny2KxVLiGqKgol%2BVAq/W8Skr8/xeitLSsShznzaAn5aMvruiJ9/OGnw/zxJU39sTti5Z79%2B7VI4884vSHnc1msyZOnKjDhw/f8uvHxsbq0KFDjuU%2BSUpPT3ecGYuNjVV6erpjW2FhoQ4fPqzY2FgFBASodevWTtv37dsns9msmJiYW64NAABUDW4PWGVlZSorc02ZFy9eVGBg4C2/fseOHVW3bl3Nnj1bR44c0cqVK7V//34NHTpUkjRkyBDt3btXK1eu1JEjRzR79mw1aNBAnTp1knTl4vk1a9bo008/1f79%2BzV//nw99NBDfEUDAACoMLcHrK5du%2Bq1115zCln5%2BflavHixOnfufMuvHxgYqFdeeUVWq1WDBw/W%2B%2B%2B/r%2BXLl6tevXqSpAYNGujll1/Wu%2B%2B%2Bq6FDhyo/P1/Lly93nFHr16%2BfHn30Uc2bN09jx45VmzZtNH369FuuCwAAVB0m%2B7Xf1FnJsrOzNWrUKJ0/f175%2BfmKjo7WqVOnFBERoQ0bNtzUd2H5Eqv1vKdLqFRmc4AiI0OVl3fR69bBPYWelI%2B%2BuKrKPen74r88XcJN%2BeiJLh7bd1WeJ9dTkZ5YLLe7uaor3H6Re506dfTee%2B9p27Zt%2Bu6771RWVqbhw4drwIABCgsLc3c5AAAAhvPI92CFhIRo2LBhntg1AABApXN7wBo1atQNt1f0bxECAAB4K7cHrGuvsSopKdFPP/2kH374QaNHj3Z3OQAAAIbzmr9FuHz58pv6e38AAADeymv%2BOuKAAQP00UcfeboMAACAW%2BY1Aevbb7815ItGAQAAPM0rLnK/cOGCvv/%2Be40YMcLd5QAAABjO7QGrXr16Tn%2BHUJJuu%2B02Pfzww3rwwQfdXQ4AAIDh3B6wnn/%2BeXfvEgAAwK3cHrD27NlT4cd26NChEisBAACoHG4PWCNHjnQsEf72zyBeO2YymfTdd9%2B5uzwAAIBb5vaA9eqrryo5OVnTp09Xx44dFRQUpAMHDmjBggUaNGiQHnjgAXeXBAAAYCi3f01DSkqK5s2bp969eysyMlKhoaHq3LmzFixYoI0bN6p%2B/fqOGwAAgC9ye8DKyckpNzyFhYUpLy/P3eUAAAAYzu0Bq23btnrhhRd04cIFx1h%2Bfr4WL16se%2B65x93lAAAAGM7t12A9%2BeSTGjVqlO699141btxYdrtdP/74oywWi9atW%2BfucgAAAAzn9oDVtGlTbd%2B%2BXdu2bVNWVpYk6b/%2B67/Ur18/hYSEuLscAAAAw7k9YElSjRo1NGzYMJ08eVINGzaUdOXb3AEAAPyB26/BstvtWrJkiTp06KD%2B/fvr7NmzmjlzpubOnavLly%2B7uxwAAADDuT1grV%2B/Xlu3btXTTz%2BtoKAgSVKvXr306aefKjU11d3lAAAAGM7tASstLU3z5s3T4MGDHd/e/sADDyg5OVkffPCBu8sBAAAwnNsD1smTJ9WyZUuX8ZiYGFmtVneXAwAAYDi3B6z69evrwIEDLuNffPGF44J3AAAAX%2Bb2TxGOGzdOzzzzjKxWq%2Bx2u77%2B%2BmulpaVp/fr1mjVrlrvLAQAAMJzbA9aQIUNUUlKiFStWqKioSPPmzVPNmjX1xBNPaPjw4e4uBwAAwHBuD1jbtm1Tnz59lJCQoF9//VV2u121atVydxkAAACVxu3XYC1YsMBxMXvNmjUJVwAAwO%2B4PWA1btxYP/zwg7t3CwAA4DZuXyKMiYnRtGnTtHr1ajVu3FjBwcFO21NSUtxdEgAAgKHcHrCOHz%2Bu9u3bS1Klfe/Vli1bNHv2bJdxk8mkzMxMPf744/rf//1fp22vvvqqevToIUl64403tGbNGl24cEF9%2B/bVU089xR%2BiBgAAFeaWgLVo0SJNmjRJ1atX1/r16yt9fw888IC6devmuF9SUqLRo0ere/fukqSsrCwtXrxY99xzj%2BMxNWrUkCR9/PHHSk1N1eLFi1WrVi3Nnj1bixcv1rx58yq9bgAA4B/ccg3W2rVrVVhY6DQ2YcIE5eTkVMr%2BqlWrJovF4ri9//77stvtmjZtmmw2m06ePKnWrVs7Pebq30Vct26dRo8erR49eqhNmzZ65pln9O6777rUDwAAcD1uCVh2u91lbM%2BePSouLq70fefn52vVqlWaOnWqgoKCdOzYMZlMpnK/Nb60tFQHDhxQfHy8Y6xt27a6fPmyMjMzK71WAADgH9z%2BKUJ327hxo6KiotSnTx9J0rFjxxQWFqYZM2aoa9euGjp0qHbs2CFJKigoUHFxsaKiohzPN5vNioiI0NmzZz1SPwAA8D1uv8jdnex2uzZv3qzx48c7xo4dO6aioiJ17dpVEyZM0CeffKLHH39caWlpql27tiQ5lguvCgoKks1mq/B%2Bc3JyXC7gN5urOwU3fxMYGOD0L%2BjJ9dAXV/TEd5jNnvsZMU9ceXNP3BawTCaTu3blcODAAWVnZ6tfv36OsYkTJ2rkyJGOi9pjYmJ06NAhbdq0Sf/93/8tSS5hymaz3dSnCNPS0pSamuo0lpiYqKSkpN97KD4jPJxPW16LnpSPvriiJ94vMjLU0yUwT8rhjT1xW8BKTk52%2Bs6ry5cva/HixQoNdZ6sRn4P1pdffqn4%2BHhHmJKkgIAAp/uSFB0draNHjyoiIkLBwcHKzc1V06ZNJV35BGJ%2Bfr4sFkuF95uQkKCePXs6jZnN1ZWXd/EWjsa7BQYGKDw8RAUFhSotLfN0OV6BnpSPvriiJ77Dk%2B/jzBNXFemJp0KxWwJWhw4dXJbM4uLilJeXp7y8vErb7/79%2B9WuXTunsVmzZslkMjkFuczMTDVv3lwBAQFq3bq10tPT1alTJ0nSvn37ZDabFRMTU%2BH9RkVFuSwHWq3nVVLi/78QpaVlVeI4bwY9KR99cUVPvJ83/HyYJ668sSduCVju%2BO6r8hw5ckQPPvig01jPnj01ZcoUderUSXFxcfrggw%2BUnp6uBQsWSJJGjBihefPmqXnz5oqKitL8%2BfP10EMP8UWjAACgwvz6Ivfc3FyFh4c7jd1///16%2BumntWLFCp0%2BfVrNmjXT6tWr1aBBA0lSv379dOrUKc2bN082m03333%2B/pk%2Bf7onyAQCAj/LrgLV///5yx4cNG6Zhw4Zd93kTJkzQhAkTKqssAADg57zvc40AAAA%2BjoAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2Bh8/mnAAATNElEQVQBAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDC/DViffPKJWrRo4XRLSkqSJB0%2BfFjDhg1TbGyshgwZooMHDzo9d9u2berVq5diY2OVmJioX3/91ROHAAAAfJTfBqyjR4%2BqR48e2rlzp%2BOWnJysS5cuacKECYqPj9eWLVsUFxenRx99VJcuXZIk7d%2B/X3PnztWkSZOUlpamgoICzZ4928NHAwAAfInfBqysrCw1b95cFovFcQsPD9f27dsVHBysGTNmqGnTppo7d65CQ0P1j3/8Q5K0YcMG9e3bVwMHDlRMTIwWLVqkHTt26MSJEx4%2BIgAA4Cv8OmA1btzYZTwjI0Pt27eXyWSSJJlMJrVr10779u1zbI%2BPj3c8vm7duqpXr54yMjLcUjcAAPB9fhmw7Ha7jh8/rp07d6p3797q1auXlixZIpvNJqvVqqioKKfH16pVS2fPnpUk5eTk3HA7AADAf2L2dAGV4fTp0yosLFRQUJBefPFFnTx5UsnJySoqKnKM/1ZQUJBsNpskqaio6IbbKyInJ0dWq9VpzGyu7hLc/ElgYIDTv6An10NfXNET32E2e%2B5nxDxx5c098cuAVb9%2Bfe3evVs1atSQyWRSy5YtVVZWpunTp6tjx44uYclms6latWqSpODg4HK3h4SEVHj/aWlpSk1NdRpLTEx0fIrRn4WHV7xPVQU9KR99cUVPvF9kZKinS2CelMMbe%2BKXAUuSIiIinO43bdpUxcXFslgsys3NddqWm5vrOLtUp06dcrdbLJYK7zshIUE9e/Z0GjObqysv7%2BLNHIJPCQwMUHh4iAoKClVaWubpcrwCPSkffXFFT3yHJ9/HmSeuKtITT4VivwxYX375paZNm6bPP//ccebpu%2B%2B%2BU0REhNq3b69Vq1bJbrfLZDLJbrdr7969euyxxyRJsbGxSk9P1%2BDBgyVJZ86c0ZkzZxQbG1vh/UdFRbksB1qt51VS4v%2B/EKWlZVXiOG8GPSkffXFFT7yfN/x8mCeuvLEn3rdoaYC4uDgFBwfrySef1LFjx7Rjxw4tWrRI48ePV58%2BfVRQUKCFCxfq6NGjWrhwoQoLC9W3b19J0vDhw7V161Zt3rxZmZmZmjFjhrp3766GDRt6%2BKgAAICv8MuAFRYWpjVr1ujXX3/VkCFDNHfuXCUkJGj8%2BPEKCwvTa6%2B95jhLlZGRoZUrV6p69eqSroSzBQsWaPny5Ro%2BfLhq1KihlJQUDx8RAADwJSa73W73dBFVgdV63tMlVCqzOUCRkaHKy7vodadpPYWelI%2B%2BuKrKPen74r88XcJN%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%2BPV1JSkrZt2yZJysrK0l133SWLxeK4hYSESJI2bNigvn37auDAgYqJidGiRYu0Y8cOnThxwpOHBAAAfIhfBiyLxaLVq1erdu3aTuMXLlzQhQsXlJ2drcaNG5f73IyMDMXHxzvu161bV/Xq1VNGRkZllgwAAPyIXwas8PBwdevWzXG/rKxMGzZsUOfOnZWVlSWTyaRXX31V9957rx588EH9/e9/dzw2JydHUVFRTq9Xq1YtnT171m31AwAA3%2BaX12Bda/HixTp8%2BLDeeecdHTp0SCaTSdHR0Xr44Ye1Z88ePfXUUwoLC9N9992noqIiBQUFOT0/KChINputwvvLycmR1Wp1GjObq7sEN38SGBjg9C/oyfXQF1f0xHeYzZ77GTFPXHlzT/w%2BYC1evFhvvvmm/vrXv6p58%2BZq1qyZevTooYiICElSTEyMfvzxR23cuFH33XefgoODXcKUzWZzXKNVEWlpaUpNTXUaS0xMVFJS0q0fkJcLD694n6oKelI%2B%2BuKKnni/yMhQT5fAPCmHN/bErwPWs88%2Bq40bN2rx4sXq3bu3JMlkMjnC1VXR0dHatWuXJKlOnTrKzc112p6bmyuLxVLh/SYkJKhnz55OY2ZzdeXlXfw9h%2BETAgMDFB4eooKCQpWWlnm6HK9AT8pHX1zRE9/hyfdx5omrivTEU6HYbwNWamqq3n77bb3wwgvq06ePY3zZsmX69ttv9cYbbzjGMjMzFR0dLUmKjY1Venq6Bg8eLEk6c%2BaMzpw5o9jY2ArvOyoqymU50Go9r5IS//%2BFKC0tqxLHeTPoSfnoiyt64v284efDPHHljT3xvkVLA2RlZemVV17RX/7yF7Vv315Wq9Vx69Gjh/bs2aM1a9bo559/1t/%2B9je99957Gjt2rCRp%2BPDh2rp1qzZv3qzMzEzNmDFD3bt3V8OGDT18VAAAwFf45Rmsf/7znyotLdWKFSu0YsUKp23ff/%2B9li1bppdeeknLli1T/fr1tXTpUsXFxUmS4uLitGDBAr300ks6d%2B6cunTpomeffdYThwEAAHyUyW632z1dRFVgtZ73dAmVymwOUGRkqPLyLnrdaVpPoSfloy%2BuqnJP%2Br74L0%2BXcFM%2BeqKLx/ZdlefJ9VSkJxbL7W6u6gq/XCIEAADwJAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYJWjuLhYc%2BbMUXx8vLp27arXX3/d0yUBAAAfYvZ0Ad5o0aJFOnjwoN58802dPn1aM2fOVL169dSnTx9PlwYAAHwAAesaly5d0ubNm7Vq1Sq1atVKrVq10pEjR/TWW28RsAAAQIWwRHiNzMxMlZSUKC4uzjHWvn17ZWRkqKyszIOVAQAAX8EZrGtYrVZFRkYqKCjIMVa7dm0VFxcrPz9fNWvW/I%2BvkZOTI6vV6jRmNldXVFSU4fV6i8DAAKd/QU%2Buxxf7ct%2BSLz1dAryE2ey5eeuLvzuVzZt7QsC6RmFhoVO4kuS4b7PZKvQaaWlpSk1NdRqbNGmSJk%2BebEyRXignJ0dvvrlaCQkJfh0kbwY9KZ8v9uXfCyv38oCcnBylpaX5VE8qGz1x5Yu/O5XNm3vifZHPw4KDg12C1NX71apVq9BrJCQkaMuWLU63hIQEw2v1JlarVampqS5n7qoyelI%2B%2BuKKnriiJ67oiStv7glnsK5Rp04d5eXlqaSkRGbzlfZYrVZVq1ZN4eHhFXqNqKgor0vSAADAfTiDdY2WLVvKbDZr3759jrH09HS1bt1aAQG0CwAA/GckhmuEhIRo4MCBmj9/vvbv369PP/1Ur7/%2BukaNGuXp0gAAgI8InD9//nxPF%2BFtOnfurMOHD2vp0qX6%2Buuv9dhjj2nIkCGeLsvrhYaGqmPHjgoNDfV0KV6DnpSPvriiJ67oiSt64spbe2Ky2%2B12TxcBAADgT1giBAAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsA3OiTTz5RixYtnG5JSUmSpMcff9xl22effebhigH8HvypHABwo6NHj6pHjx569tlnHWPBwcGSpKysLC1evFj33HOPY1uNGjXcXiOAW0fAAgA3ysrKUvPmzWWxWJzGbTabTp48qdatW7tsA%2BB7WCLELZkwYYJmzZrluH/48GENGzZMsbGxGjJkiA4ePOjB6jzj2p5U1WWfGy2FVeV5kpWVpcaNG7uMHzt2TCaTSQ0bNnR/UR5ms9n0zDPPqEOHDvrDH/6gF154QVe/A7uqzpUb9aQqvqds2bLF5ZhbtGihmJgYSd45TwhY%2BN0%2B/PBD7dixw3H/0qVLmjBhguLj47VlyxbFxcXp0Ucf1aVLlzxYpXtd2xPp/5Z9du7c6bh16dLFQxW6z9WlsN8ed3JycpWeJ3a7XcePH9fOnTvVu3dv9erVS0uWLJHNZtOxY8cUFhamGTNmqGvXrho6dKjLXPJXycnJ%2Buqrr7RmzRotXbpUmzZtUlpaWpWeK9friVQ131MeeOABp%2BP9/PPP1ahRI40aNcpr5wlLhPhd8vPztWjRIrVu3doxtn37dgUHB2vGjBkymUyaO3euvvjiC/3jH//Q4MGDPVite5TXk6q87HO9pbB33nmnys6T06dPq7CwUEFBQXrxxRd18uRJJScnq6ioSBERESoqKlLXrl01YcIEffLJJ3r88ceVlpbmNKf8TX5%2Bvt59912tXbtWbdq0kSSNHTtWGRkZMpvNVXKu3KgngwcPrpLvKdWqVVO1atUc91977TXZ7XZNmzZN77//vlfOEwIWfpf/%2BZ//0YABA5STk%2BMYy8jIUPv27WUymSRJJpNJ7dq10759%2B/z6zfCq8npSlZd9srKy9Ic//MFlvCrPk/r162v37t2qUaOGTCaTWrZsqbKyMk2fPl3ffvutRo4c6bioPSYmRocOHdKmTZv8OmClp6crLCxMHTt2dIxNmDBBkvTUU09Vyblyo55kZmZW2feUq/Lz87Vq1SolJycrKCjIa99TWCLETfv666/173//WxMnTnQat1qtioqKchqrVauWzp49687yPOJ6Pamqyz43WgqryvNEkiIiIhz/I5Ckpk2bqri4WOfOnXP5xGB0dLSys7PdXaJbnThxQvXr19d7772nPn366E9/%2BpOWL1%2BusrKyKjtXbtSTqvqe8lsbN25UVFSU%2BvTpI8l7/9/DGSzclOLiYj399NOaN2%2Be0%2BlaSY6lj98KCgqSzWZzZ4lud6OeHDt2rEou%2B9xoKayqzhNJ%2BvLLLzVt2jR9/vnnCgkJkSR99913ioiI0KJFi2QymZSSkuJ4fGZmppo3b%2B6pct3i0qVL%2Bumnn/T2228rJSVFVqtV8%2BbNU0hISJWdKzfqyaVLl6rke8pVdrtdmzdv1vjx4x1j3jpPCFi4Kampqbr77rvVrVs3l23BwcEuE9pms7mEDn9zo55MnDixSi773GgprGPHjlVynkhSXFycgoOD9eSTTyoxMVEnTpzQokWLNH78eDVq1EhTpkxRp06dFBcXpw8%2B%2BEDp6elasGCBp8uuVGazWRcuXNDSpUtVv359SVcC%2BsaNG9WoUaMqOVdu1JOPPvqoSr6nXHXgwAFlZ2erX79%2BjjFv/X8PAQs35cMPP1Rubq7i4uIkyTGpP/74Y/Xv31%2B5ublOj8/NzXU5detvbtSTb7/9ttxln6NHj7q9TneLiIhwun91KcxisVTJeSJJYWFhWrNmjZ577jkNGTJEoaGh%2BvOf/6zx48fLZDLp6aef1ooVK3T69Gk1a9ZMq1evVoMGDTxddqWyWCwKDg52BAlJatKkic6cOaOOHTtWyblyo54EBARU2fcU6cpZ4Pj4eKce1KlTxyvnCQELN2X9%2BvUqKSlx3F%2ByZIkkadq0adqzZ49WrVolu90uk8kku92uvXv36rHHHvNUuW5xo57MmjWrSi773GgprH379lVynlzVrFkzrV27ttxtw4YN07Bhw9xckWfFxsaquLhYx48fV5MmTSRdWVqvX7%2B%2BYmNjq%2BRcuVFPqup7ylX79%2B9Xu3btnMa8dZ5wkTtuSv369dWoUSPHLTQ0VKGhoWrUqJH69OmjgoICLVy4UEePHtXChQtVWFiovn37errsSnWjnvTs2VMffPCB3nvvPf30009KTU1Venq6Hn74YU%2BXXal%2BuxR27Ngx7dixw7EUVlXnCcoXHR2t7t27a/bs2crMzNSXX36plStXavjw4VV2rtyoJ1X1PeWqI0eO6M4773Qa89p5YgduwcyZM%2B0zZ8503M/IyLAPHDjQ3rp1a/vQoUPthw4d8mB1nnFtTzZt2mS///777Xfffbd90KBB9m%2B%2B%2BcaD1bnPDz/8YB8zZoy9bdu29i5duthffvlle1lZmd1uZ57AWUFBgX369On2tm3b2u%2B55x7miv3GPamq7yl2u93eunVr%2BxdffOEy7o3zxGS3///v3gcAAIAhWCIEAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAw2P8Dz/22d646aioAAAAASUVORK5CYII%3D\"/>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-6134611952070096437\">\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">59.94207352221809</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">59.942118736357536</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">59.94225623122101</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">59.909400675795816</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">59.931350550306824</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">59.86871187830324</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">60.071840734617176</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">59.94714635402794</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">59.98971543061309</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">59.778989857877015</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"other\">\n",
" <td class=\"fillremaining\">Other values (1815)</td>\n",
" <td class=\"number\">1815</td>\n",
" <td class=\"number\">99.2%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme-6134611952070096437\">\n",
" <p class=\"h4\">Minimum 5 values</p>\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">37.44522892052206</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">48.81542835224893</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">48.902165424879534</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">51.32500858505639</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">53.88490773526676</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" <p class=\"h4\">Maximum 5 values</p>\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">60.215466460460604</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">60.250636672798926</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">60.712284773942855</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">61.97494792771192</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">68.97486392562487</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" </div>\n",
"</div>\n",
"</div><div class=\"row variablerow\">\n",
" <div class=\"col-md-3 namecol\">\n",
" <p class=\"h4 pp-anchor\" id=\"pp_var_lng\">lng<br/>\n",
" <small>Numeric</small>\n",
" </p>\n",
" </div><div class=\"col-md-6\">\n",
" <div class=\"row\">\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
" <tr>\n",
" <th>Distinct count</th>\n",
" <td>1808</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Unique (%)</th>\n",
" <td>98.9%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (n)</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Infinite (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Infinite (n)</th>\n",
" <td>0</td>\n",
" </tr>\n",
" </table>\n",
"\n",
" </div>\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
"\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>30.383</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>-122.16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>84.333</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Zeros (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
"</div>\n",
"<div class=\"col-md-3 collapse in\" id=\"minihistogram4394786231324707555\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAAPxJREFUeJzt1bENQkEMBUE%2BoiSKoCdieqIIejINoJUI4C6YyS29ZOVjZuYEfHRePQB2dlk9gP%2B73p9f37wetx8s2Z8PAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQjpmZ1SNgVz4IBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIhDet3wuP2/4/EwAAAABJRU5ErkJggg%3D%3D\">\n",
"\n",
"</div>\n",
"<div class=\"col-md-12 text-right\">\n",
" <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives4394786231324707555,#minihistogram4394786231324707555\"\n",
" aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"row collapse col-md-12\" id=\"descriptives4394786231324707555\">\n",
" <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
" <li role=\"presentation\" class=\"active\"><a href=\"#quantiles4394786231324707555\"\n",
" aria-controls=\"quantiles4394786231324707555\" role=\"tab\"\n",
" data-toggle=\"tab\">Statistics</a></li>\n",
" <li role=\"presentation\"><a href=\"#histogram4394786231324707555\" aria-controls=\"histogram4394786231324707555\"\n",
" role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
" <li role=\"presentation\"><a href=\"#common4394786231324707555\" aria-controls=\"common4394786231324707555\"\n",
" role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
" <li role=\"presentation\"><a href=\"#extreme4394786231324707555\" aria-controls=\"extreme4394786231324707555\"\n",
" role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
"\n",
" </ul>\n",
"\n",
" <div class=\"tab-content\">\n",
" <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles4394786231324707555\">\n",
" <div class=\"col-md-4 col-md-offset-1\">\n",
" <p class=\"h4\">Quantile statistics</p>\n",
" <table class=\"stats indent\">\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>-122.16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5-th percentile</th>\n",
" <td>30.178</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q1</th>\n",
" <td>30.281</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Median</th>\n",
" <td>30.319</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q3</th>\n",
" <td>30.36</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95-th percentile</th>\n",
" <td>30.461</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>84.333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Range</th>\n",
" <td>206.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Interquartile range</th>\n",
" <td>0.078828</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" <div class=\"col-md-4 col-md-offset-2\">\n",
" <p class=\"h4\">Descriptive statistics</p>\n",
" <table class=\"stats indent\">\n",
" <tr>\n",
" <th>Standard deviation</th>\n",
" <td>4.2457</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Coef of variation</th>\n",
" <td>0.13974</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Kurtosis</th>\n",
" <td>935.85</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>30.383</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MAD</th>\n",
" <td>0.34747</td>\n",
" </tr>\n",
" <tr class=\"alert\">\n",
" <th>Skewness</th>\n",
" <td>-22.892</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sum</th>\n",
" <td>55571</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Variance</th>\n",
" <td>18.026</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory size</th>\n",
" <td>14.4 KiB</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram4394786231324707555\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzt3XtUVPX%2B//HXwASCiKAO5G1lWF7yq4iQeo7aUb5amp7jLSMtL2mnTqGsirwgXdQwWmod7WCmpuWtIrNvlsfqm337VlaaBwO8RAFaeYWhILxwEZjfH63md0bsG8J2DzM8H2vNwvl8Zs9%2B7/1upteavWePxeFwOAQAAADD%2BLi7AAAAAG9DwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgVncX0FTY7WfcXUKj4uNjUatWzfXTT%2BdUU%2BNwdzm4BHrkGeiTZ6BP7mOztXDLevkEC27h42ORxWKRj4/F3aXgN9Ajz0CfPAN9anoIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAazursAAEDTNWL5Z%2B4u4bK8%2B%2BAAd5cAD8EnWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAG8/iAVVlZqVGjRmnv3r2SpHnz5qlr1661blOmTHEuExMTU2v%2B3LlzkqSKigrNnz9fMTExGjhwoNavX%2B%2BW7QIAAJ7Loy/TUFFRocTEROXm5jrHkpOTlZiY6Lx/4sQJTZ482RmwCgoKdObMGe3atUvNmjVzPi4wMFCStGTJEh08eFAbNmzQyZMnNXfuXLVr107Dhw83aasAAICn89iAlZeXp8TERDkcDpfxFi1aqEWLFs778%2BbN0/DhwzV06FBJUn5%2Bvmw2mzp27FjrOc%2BfP6%2BtW7dq7dq16tGjh3r06KHc3Fxt2bKFgAUAAOrMYw8Rfvnll%2BrXr5/S09N/8zFffPGF9u3bp4cfftg5lpeXp2uvvfaSj8/JyVFVVZWioqKcY9HR0crKylJNTY1xxQMAAK/msZ9gTZo06Xcfs2bNGo0dO1Zt27Z1juXn56usrEyTJ0/W0aNH1b17d82fP1/XXnut7Ha7QkND5efn53x8mzZtVFFRoZKSErVq1eqKbAsAAPAuHhuwfs%2BxY8e0Z88eJScnu4wfOXJEP//8sx5%2B%2BGEFBQVp7dq1mjZtmv75z3%2BqrKzMJVxJct6vrKys87oLCwtlt9tdxqzWQIWFhdVza7yPr6%2BPy180PvTIM9Anc1mt9dvP9Knp8dqA9f7776t79%2B667rrrXMbXrVunCxcuqHnz5pKkZcuW6U9/%2BpM%2B%2Bugj%2Bfv71wpSv97/9xPif096errS0tJcxuLj45WQkFCfTfFqwcEB7i4Bv4MeeQb6ZI7Q0OYNWp4%2BNR1eG7A%2B/fRT/ed//metcT8/P5dPqfz9/dWhQwcVFBSoT58%2BKi4uVlVVlazWX3aN3W5Xs2bNFBwcXOd1x8XFKTY21mXMag1UcfG5em6N9/H19VFwcIBKS8tUXc35bY0RPfIM9Mlc9X0fp0/u09BQXF9eGbAcDocOHDigv/3tb7XGhw0bpgceeEDjxo2T9Ms3B7///ntFRESoe/fuslqtyszMVExMjCQpIyNDPXv2lI9P3T/WDQsLq3U40G4/o6oqXlQXq66uYb80cvTIM9AnczR0H9OnpsMrA9aJEyd07ty5WocHLRaLBg8erH/84x9q3769WrVqpRUrVujqq6/Wn/70J/n6%2BmrMmDFasGCBnnrqKRUWFmr9%2BvVKTU1105YAAABP5JUB68cff5QktWzZstbc7NmzZbValZiYqLNnz6p///5as2aNfH19JUlJSUlasGCBpk6dqqCgIM2aNUs333yzqfUDAADPZnFcfKVOXBF2%2Bxl3l9CoWK0%2BCg1truLic3xc3kjRI8/g6X0asfwzd5dwWd59cEC9lvP0Pnkym63F7z/oCuD7ogAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYzOMDVmVlpUaNGqW9e/c6x1JSUtS1a1eX2%2BbNm53zO3bs0NChQxUZGan4%2BHj99NNPzjmHw6Fly5apf//%2B6tu3r5YsWaKamhpTtwkAAHg2q7sLaIiKigolJiYqNzfXZTw/P1%2BJiYkaO3ascywoKEiSlJ2dreTkZC1cuFDdunXT4sWLlZSUpNWrV0uSXnrpJe3YsUNpaWmqqqrS7Nmz1bp1a82YMcO8DQMAAB7NYz/BysvL0%2B23364ffvih1lx%2Bfr5uuOEG2Ww25y0gIECStHnzZo0YMUJjxoxRt27dtGTJEn388cc6duyYJGnjxo1KSEhQTEyM%2Bvfvr0ceeURbtmwxddsAAIBn89iA9eWXX6pfv35KT093GT979qwKCgrUqVOnSy6XlZWlmJgY5/22bduqXbt2ysrKUkFBgU6dOqUbb7zROR8dHa0TJ06osLDwimwHAADwPh57iHDSpEmXHM/Pz5fFYtELL7ygTz75RCEhIbr77rudhwsLCwsVFhbmskzr1q11%2BvRp2e12SXKZb9OmjSTp9OnTtZYDAAC4FI8NWL/lyJEjslgsioiI0F133aV9%2B/bpscceU1BQkIYNG6by8nL5%2Bfm5LOPn56fKykqVl5c77//7nPTLyfR1VVhY6Axrv7JaAwlo/8bX18flLxofeuQZ6JO5rNb67Wf61PR4XcAaM2aMhgwZopCQEElSt27d9N133%2BnVV1/VsGHD5O/vXyssVVZWKiAgwCVM%2Bfv7O/8tyXkOV12kp6crLS3NZSw%2BPl4JCQn13i5vFRxc9/0K96BHnoE%2BmSM0tHmDlqdPTYfXBSyLxeIMV7%2BKiIjQnj17JEnh4eEqKipymS8qKpLNZlN4eLgkyW63q0OHDs5/S5LNZqtzDXFxcYqNjXUZs1oDVVx87vI2xov5%2BvooODhApaVlqq7mMhiNET3yDPTJXPV9H6dP7tPQUFxfXhewVqxYoa%2B%2B%2Bkovv/yycywnJ0cRERGSpMjISGVkZGjcuHGSpFOnTunUqVOKjIxUeHi42rVrp4yMDGfAysjIULt27S7r8F5YWFitx9vtZ1RVxYvqYtXVNeyXRo4eeQb6ZI6G7mP61HR4XcAaMmSI1qxZo3Xr1mnYsGHavXu33nrrLW3cuFGSNHHiRE2ePFm9e/dWz549tXjxYg0ePFgdO3Z0zi9btkxXX321JOmZZ57R9OnT3bY9AADA83hdwOrVq5dWrFih5557TitWrFD79u31zDPPKCoqSpIUFRWlRYsW6bnnntPPP/%2BsAQMG6Mknn3QuP2PGDP3444%2BaOXOmfH19ddttt2natGlu2hoAAOCJLA6Hw%2BHuIpoCu/2Mu0toVKxWH4WGNldx8Tk%2BLm%2Bk6JFn8PQ%2BjVj%2BmbtLuCzvPjigXst5ep88mc3Wwi3r5fuiAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABjM4wNWZWWlRo0apb179zrHMjMzdccddygqKkq33HKLtm7d6rLMX/7yF3Xt2tXl9u2330qSHA6Hli1bpv79%2B6tv375asmSJampqTN0mAADg2azuLqAhKioqlJiYqNzcXOeY3W7XX//6V02cOFFPP/20Dh06pKSkJNlsNg0ePFjV1dX67rvvtHnzZnXq1Mm5XGhoqCTppZde0o4dO5SWlqaqqirNnj1brVu31owZM8zePAAA4KE8NmDl5eUpMTFRDofDZXzXrl1q06aNHn74YUlSp06dtHfvXr3zzjsaPHiwjh8/rgsXLqhXr17y9/ev9bwbN25UQkKCYmJiJEmPPPKIVqxYQcACAAB15rGHCL/88kv169dP6enpLuODBg1SampqrcefPXtW0i/BrG3btpcMVwUFBTp16pRuvPFG51h0dLROnDihwsJCg7cAAAB4K4/9BGvSpEmXHO/QoYM6dOjgvP/jjz/qn//8p2bNmiVJys/P11VXXaX77rtPBw8e1LXXXqs5c%2BaoV69estvtkqSwsDDn8m3atJEknT592mUcAADgt3hswKqL8vJyzZo1S23atFFcXJwk6ejRo/r55581YcIEJSQk6PXXX9fUqVO1c%2BdOlZeXS5L8/Pycz/HrvysrK%2Bu83sLCQmdY%2B5XVGkhA%2Bze%2Bvj4uf9H40CPPQJ/MZbXWbz/Tp6bHawPWuXPn9MADD%2Bi7777TK6%2B8ooCAAEnSk08%2BqfLycgUFBUmSFixYoP3792v79u364x//KOmXMPXrIcRfg9Wvy9dFenq60tLSXMbi4%2BOVkJDQ4O3yNsHBdd%2BvcA965BnokzlCQ5s3aHn61HR4ZcA6e/as7rnnHv3www/asGGDy7cFrVarM1xJksViUUREhAoKChQeHi7pl28i/nqY8ddPomw2W53XHxcXp9jYWJcxqzVQxcXn6rtJXsfX10fBwQEqLS1TdTWXwWiM6JFnoE/mqu/7OH1yn4aG4vryuoBVU1OjmTNn6vjx49q0aZM6d%2B7sMj958mT169dPM2fOdD7%2Bm2%2B%2B0Z133qnw8HC1a9dOGRkZzoCVkZGhdu3aXdbhvbCwsFqPt9vPqKqKF9XFqqtr2C%2BNHD3yDPTJHA3dx/Sp6fC6gPXGG29o7969WrVqlYKDg52fQF111VUKCQlRbGysVq5cqe7du%2Bvaa6/Vxo0bdebMGY0dO1aSNHHiRC1btkxXX321JOmZZ57R9OnT3bY9AADA83hdwHr//fdVU1Oj%2B%2B67z2W8b9%2B%2B2rRpk6ZNm6aKigqlpKSoqKhIkZGReumll5yHDWfMmKEff/xRM2fOlK%2Bvr2677TZNmzbNDVsCAAA8lcVx8ZU6cUXY7WfcXUKjYrX6KDS0uYqLz/FxeSNFjzyDp/dpxPLP3F3CZXn3wQH1Ws7T%2B%2BTJbLYWblkv3xcFAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgpgesCRMm6LXXXtOZM/x0DAAA8E6mB6z%2B/fvrhRde0MCBA/Xwww9r9%2B7d4ucQAQCANzE9YCUmJuqjjz7S888/L19fX82aNUuDBw/W3//%2Bdx09etTscgAAAAxndcdKLRaLBgwYoAEDBqisrEybNm3S888/rzVr1qhPnz6aOnWqbr75ZneUBgAA0GBuCViSVFhYqLfffltvv/22vv32W/Xp00djx47V6dOn9eijj2rfvn1KTk52V3kAAAD1ZnrA2r59u7Zv3669e/eqVatWGjNmjJ577jl16tTJ%2BZi2bdtq8eLFBCwAAOCRTA9YycnJGjJkiFauXKmbbrpJPj61TwOLiIjQXXfdZXZpAAAAhjA9YH3yyScKDQ1VSUmJM1xlZ2erR48e8vX1lST16dNHffr0Mbs0AAAAQ5j%2BLcKzZ89q%2BPDhWrt2rXPs3nvv1ejRo3Xq1CmzywEAADCc6QHrqaee0jXXXKO7777bObZz5061bdtWqampZpcDAABgONMD1r/%2B9S/NmzdPNpvNOdaqVSvNmTNHe/bsMbscAAAAw5kesKxWq0pLS2uNl5WVcUV3AADgFUwPWDfddJNSUlL0ww8/OMeOHTum1NRUDRo0yOxyAAAADGf6twjnzp2ru%2B%2B%2BW7fccouCg4MlSaWlperRo4eSkpLMLgcAAMBwpges1q1b67/%2B67/0%2BeefKzc3V1arVdddd53%2B8Ic/yGKxmF0OAACA4dzyUzm%2Bvr4aNGgQhwQBAIBXMj1g2e12LV%2B%2BXPv379eFCxdqndj%2B4Ycfml0SAACAoUwPWI899pgOHjyokSNHqkWLFmavHgAA4IozPWDt2bNHL774omJiYsxeNQAAgClMv0xDYGCgWrdubfZqAQAATGN6wBo9erRefPFFVVdXG/J8lZWVGjVqlPbu3escO3bsmKZNm6bevXvr1ltv1e7du12W%2BfzzzzVq1ChFRkZqypQpOnbsmMv8yy%2B/rEGDBikqKkrz589XWVmZIbUCAICmwfSAVVJSorfffls33XST7rjjDk2ZMsXldjkqKir08MMPKzc31znmcDgUHx%2BvNm3aaNu2bRo9erRmzpypkydPSpJOnjyp%2BPh4jRs3Tm%2B88YZatWqlBx54wHmy/fvvv6%2B0tDQtWrRIGzZsUFZWlpYuXWrcDgAAAF7PLZdpGDVqVIOfIy8vT4mJibW%2Bhbhnzx4dO3ZMr732mgIDA9W5c2d98cUX2rZtm2bNmqWtW7fqP/7jPzR9%2BnRJUmpqqgYMGKAvv/xS/fr108aNGzV16lQNGTJEkrRw4ULNmDFDs2fPVkBAQIPrBgAA3s/0gJWammrI8/waiB566CH17t3bOZ6VlaUbbrhBgYGBzrHo6GhlZmY65//9BPuAgAD16NFDmZmZiomJ0YEDBzRz5kznfO/evXXhwgXl5OQoKirKkNoBAIB3c8snWIWFhXr99dd19OhRzZ8/X/v27VOXLl0UERFR5%2BeYNGnSJcftdrvCwsJcxlq3bq3Tp0//7nxpaakqKipc5q1Wq0JCQpzL10VhYaHsdrvLmNUaWGu9TZmvr4/LXzQ%2B9Mgz0CdzWa3128/0qekxPWB9//33uv322xUUFKSCggI9%2BOCD2rlzp5KSkvTyyy8rMjKyQc9fVlYmPz8/lzE/Pz9VVlb%2B7nx5ebnz/m8tXxfp6elKS0tzGYuPj1dCQkKdn6OpCA7msGtjR488A30yR2ho8wYtT5%2BaDtMD1tNPP62hQ4cqJSVFffr0kSQ9%2B%2Byzmjt3rpYtW6ZNmzY16Pn9/f1VUlLiMlZZWalmzZo55y8OS5WVlQoODpa/v7/z/sXzl3P%2BVVxcnGJjY13GrNZAFRefq/NzeDtfXx8FBweotLRM1dU17i4Hl0CPPAN9Mld938fpk/s0NBTXl%2BkBa//%2B/dqyZYvLDztbrVY98MADuv322xv8/OHh4crLy3MZKyoqch6eCw8PV1FRUa357t27KyQkRP7%2B/ioqKlLnzp0lSVVVVSopKZHNZqtzDWFhYbUOB9rtZ1RVxYvqYtXVNeyXRo4eeQb6ZI6G7mP61HSYfjC4pqZGNTW1/%2BM6d%2B6cfH19G/z8kZGROnTokPNwnyRlZGQ4Dz1GRkYqIyPDOVdWVqbDhw8rMjJSPj4%2B6tmzp8t8ZmamrFarunXr1uDaAABA02B6wBo4cKBWr17tErJKSkq0dOlS9e/fv8HP37dvX7Vt21ZJSUnKzc3VmjVrlJ2drdtuu02SNH78eO3fv19r1qxRbm6ukpKS1KFDB/Xr10/SLyfPr1u3Trt27VJ2drYWLFig22%2B/nUs0AACAOjM9YM2bN08HDx7UwIEDVVFRofvvv19DhgzR8ePHNXfu3AY/v6%2Bvr55//nnZ7XaNGzdOb7/9tlauXKl27dpJkjp06KB//OMf2rZtm2677TaVlJRo5cqVzkOWI0eO1H333afHH39c06dPV69evTR79uwG1wUAAJoOi%2BPiK3WaoKysTDt27NDXX3%2BtmpoaXX/99Ro9erSCgoLMLsU0dvsZd5fQqFitPgoNba7i4nOcj9BI0SPP4Ol9GrH8M3eXcFnefXBAvZbz9D55MputhVvW65brYAUEBGjChAnuWDUAAMAVZ3rA%2Br3fG9y4caNJlQAAAFwZpges9u3bu9yvqqrS999/r2%2B//VZTp041uxwAAADDNZrfIly5cuVl/RwNAABAY9VofhRp9OjRevfdd91dBgAAQIM1moD11VdfGXKhUQAAAHdrFCe5nz17Vt98840mTZpkdjkAAACGMz1gtWvXzuV3CCXpqquu0l133aW//OUvZpcDAABgONMD1tNPP232KgEAAExlesDat29fnR974403XsFKAAAArgzTA9bkyZOdhwj//Vd6Lh6zWCz6%2BuuvzS4PAACgwUwPWC%2B88IJSUlI0e/Zs9e3bV35%2Bfjpw4IAWLVqksWPH6tZbbzW7JAAAAEOZfpmG1NRUPf7447rlllsUGhqq5s2bq3///lq0aJFeffVVtW/f3nkDAADwRKYHrMLCwkuGp6CgIBUXF5tdDgAAgOFMD1i9e/fWs88%2Bq7NnzzrHSkpKtHTpUv3hD38wuxwAAADDmX4O1qOPPqopU6bopptuUqdOneRwOPTdd9/JZrNp48aNZpcDAABgONMDVufOnbVz507t2LFD%2Bfn5kqQ777xTI0eOVEBAgNnlAAAAGM70gCVJLVu21IQJE3T8%2BHF17NhR0i9XcwcAAPAGpp%2BD5XA4tGzZMt14440aNWqUTp8%2Brblz5yo5OVkXLlwwuxwAAADDmR6wNm3apO3bt%2BuJJ56Qn5%2BfJGno0KHatWuX0tLSzC4HAADAcKYHrPT0dD3%2B%2BOMaN26c8%2Brtt956q1JSUvTOO%2B%2BYXQ4AAIDhTA9Yx48fV/fu3WuNd%2BvWTXa73exyAAAADGd6wGrfvr0OHDhQa/yTTz5xnvAOAADgyUz/FuGMGTO0cOFC2e12ORwOffHFF0pPT9emTZs0b948s8sBAAAwnOkBa/z48aqqqtKqVatUXl6uxx9/XK1atdKDDz6oiRMnml0OAACA4UwPWDt27NDw4cMVFxenn376SQ6HQ61btza7DAAAgCvG9HOwFi1a5DyZvVWrVoQrAADgdUwPWJ06ddK3335r9moBAABMY/ohwm7duumRRx7Riy%2B%2BqE6dOsnf399lPjU11eySAAAADGV6wDp69Kiio6MlieteAQAAr2RKwFqyZIlmzpypwMBAbdq06Yqv780331RSUlKtcYvFopycHN1///36n//5H5e5F154QUOGDJEkvfzyy1q3bp3Onj2rESNG6LHHHlNAQMAVrxsAAHgHU87Beumll1RWVuYydu%2B996qwsPCKrO/WW2/V7t27nbf//d//1TXXXKMpU6ZIkvLz87V06VKXxwwYMECS9P777ystLU2LFi3Shg0blJWVpaVLl16ROgEAgHcyJWA5HI5aY/v27VNFRcUVWV%2BzZs1ks9mct7ffflsOh0OPPPKIKisrdfz4cfXs2dPlMb/%2B8PTGjRs1depUDRkyRL169dLChQu1bdu2WgERAADgt5j%2BLUKzlZSUaO3atUpMTJSfn5%2BOHDkii8VyyZ/lqa6u1oEDBxQTE%2BMc6927ty5cuKCcnBwzywYAAB7M9JPczfbqq68qLCxMw4cPlyQdOXJEQUFBmjNnjr788ktdffXVmjVrlv70pz%2BptLRUFRUVCgsLcy5vtVoVEhKi06dP13mdhYWFtU7gt1oDXZ63qfP19XH5i8aHHnkG%2BmQuq7V%2B%2B5k%2BNT2mBSyLxWLWqpwcDoe2bt2qe%2B65xzl25MgRlZeXa%2BDAgbr33nv1wQcf6P7771d6erratGkjSc7Dhb/y8/NTZWVlndebnp6utLQ0l7H4%2BHglJCQ0YGu8U3AwXx5o7OiRZ6BP5ggNbd6g5elT02FawEpJSXG55tWFCxe0dOlSNW/u%2Bh%2BrkdfBOnDggAoKCjRy5Ejn2AMPPKDJkyerZcuWkn65LtehQ4f0%2Buuv66GHHpKkWmGqsrLysr5FGBcXp9jYWJcxqzVQxcXn6rspXsfX10fBwQEqLS1TdXWNu8vBJdAjz0CfzFXf93H65D4NDcX1ZUrAuvHGG2sdMouKilJxcbGKi4uv2Ho//fRTxcTEOMOUJPn4%2BLjcl6SIiAjl5eUpJCRE/v7%2BKioqUufOnSVJVVVVKikpkc1mq/N6w8LCah0OtNvPqKqKF9XFqqtr2C%2BNHD3yDPTJHA3dx/Sp6TAlYJlx7atLyc7OVp8%2BfVzG5s2bJ4vF4vJJWU5Ojrp06SIfHx/17NlTGRkZ6tevnyQpMzNTVqtV3bp1M7V2AADgubz6bLvc3Fxdd911LmOxsbF655139NZbb%2Bn7779XWlqaMjIydNddd0mSJk2apHXr1mnXrl3Kzs7WggULdPvtt3OhUQAAUGde/S3CoqIiBQcHu4zdfPPNeuKJJ7Rq1SqdPHlS119/vV588UV16NBBkjRy5EidOHFCjz/%2BuCorK3XzzTdr9uzZ7igfAAB4KIvjUlcBheHs9jPuLqFRsVp9FBraXMXF5zgfoZGiR57B0/s0Yvln7i7hsrz74IB6LefpffJkNlsLt6zXqw8RAgAAuAMBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgXhuwPvjgA3Xt2tXllpCQIEk6fPiwJkyYoMjISI0fP14HDx50WXbHjh0aOnSoIiMjFR8fr59%2B%2BskdmwAAADyU1wasvLw8DRkyRLtjAmZfAAARY0lEQVR373beUlJSdP78ed17772KiYnRm2%2B%2BqaioKN133306f/68JCk7O1vJycmaOXOm0tPTVVpaqqSkJDdvDQAA8CReG7Dy8/PVpUsX2Ww25y04OFg7d%2B6Uv7%2B/5syZo86dOys5OVnNmzfXe%2B%2B9J0navHmzRowYoTFjxqhbt25asmSJPv74Yx07dszNWwQAADyFVwesTp061RrPyspSdHS0LBaLJMlisahPnz7KzMx0zsfExDgf37ZtW7Vr105ZWVmm1A0AADyf1d0FXAkOh0NHjx7V7t27tXr1alVXV2v48OFKSEiQ3W7Xdddd5/L41q1bKzc3V5JUWFiosLCwWvOnT5%2Bu8/oLCwtlt9tdxqzWwFrP25T5%2Bvq4/EXjQ488A30yl9Vav/1Mn5oerwxYJ0%2BeVFlZmfz8/LR8%2BXIdP35cKSkpKi8vd47/Oz8/P1VWVkqSysvL/8/5ukhPT1daWprLWHx8vPMke/x/wcEB7i4Bv4MeeQb6ZI7Q0OYNWp4%2BNR1eGbDat2%2BvvXv3qmXLlrJYLOrevbtqamo0e/Zs9e3bt1ZYqqysVLNmzSRJ/v7%2Bl5wPCKj7iyIuLk6xsbEuY1ZroIqLz9Vzi7yPr6%2BPgoMDVFpapurqGneXg0ugR56BPpmrvu/j9Ml9GhqK68srA5YkhYSEuNzv3LmzKioqZLPZVFRU5DJXVFTkPHwXHh5%2ByXmbzVbndYeFhdU6HGi3n1FVFS%2Bqi1VX17BfGjl65Bnokzkauo/pU9PhlQeDP/30U/Xr109lZWXOsa%2B//lohISGKjo7WV199JYfDIemX87X279%2BvyMhISVJkZKQyMjKcy506dUqnTp1yzgMAAPwerwxYUVFR8vf316OPPqojR47o448/1pIlS3TPPfdo%2BPDhKi0t1eLFi5WXl6fFixerrKxMI0aMkCRNnDhR27dv19atW5WTk6M5c%2BZo8ODB6tixo5u3CgAAeAqvDFhBQUFat26dfvrpJ40fP17JycmKi4vTPffco6CgIK1evVoZGRkaN26csrKytGbNGgUGBkr6JZwtWrRIK1eu1MSJE9WyZUulpqa6eYsAAIAnsTh%2BPVaGK8puP%2BPuEhoVq9VHoaHNVVx8jvMRGil65Bk8vU8jln/m7hIuy7sPDqjXcp7eJ09ms7Vwy3q98hMsAAAAdyJgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABjMawNWQUGBEhIS1LdvXw0aNEipqamqqKiQJKWkpKhr164ut82bNzuX3bFjh4YOHarIyEjFx8frp59%2BctdmAAAAD2R1dwFXgsPhUEJCgoKDg7Vlyxb9/PPPmj9/vnx8fDR37lzl5%2BcrMTFRY8eOdS4TFBQkScrOzlZycrIWLlyobt26afHixUpKStLq1avdtTkAAMDDeOUnWEeOHFFmZqZSU1N1/fXXKyYmRgkJCdqxY4ckKT8/XzfccINsNpvzFhAQIEnavHmzRowYoTFjxqhbt25asmSJPv74Yx07dsydmwQAADyIVwYsm82mF198UW3atHEZP3v2rM6ePauCggJ16tTpkstmZWUpJibGeb9t27Zq166dsrKyrmTJAADAi3jlIcLg4GANGjTIeb%2BmpkabN29W//79lZ%2BfL4vFohdeeEGffPKJQkJCdPfddzsPFxYWFiosLMzl%2BVq3bq3Tp0/Xef2FhYWy2%2B0uY1ZrYK3nbcp8fX1c/qLxoUeegT6Zy2qt336mT02PVwasiy1dulSHDx/WG2%2B8oUOHDslisSgiIkJ33XWX9u3bp8cee0xBQUEaNmyYysvL5efn57K8n5%2BfKisr67y%2B9PR0paWluYzFx8crISHBkO3xJsHBAe4uAb%2BDHnkG%2BmSO0NDmDVqePjUdXh%2Bwli5dqg0bNujvf/%2B7unTpouuvv15DhgxRSEiIJKlbt2767rvv9Oqrr2rYsGHy9/evFaYqKyud52jVRVxcnGJjY13GrNZAFRefa/gGeQlfXx8FBweotLRM1dU17i4Hl0CPPAN9Mld938fpk/s0NBTXl1cHrCeffFKvvvqqli5dqltuuUWSZLFYnOHqVxEREdqzZ48kKTw8XEVFRS7zRUVFstlsdV5vWFhYrcOBdvsZVVXxorpYdXUN%2B6WRo0eegT6Zo6H7mD41HV57MDgtLU2vvfaann32WY0cOdI5vmLFCk2bNs3lsTk5OYqIiJAkRUZGKiMjwzl36tQpnTp1SpGRkabUDQAAPJ9XBqz8/Hw9//zz%2Butf/6ro6GjZ7XbnbciQIdq3b5/WrVunH374Qa%2B88oreeustTZ8%2BXZI0ceJEbd%2B%2BXVu3blVOTo7mzJmjwYMHq2PHjm7eKgAA4Cm88hDhhx9%2BqOrqaq1atUqrVq1ymfvmm2%2B0YsUKPffcc1qxYoXat2%2BvZ555RlFRUZKkqKgoLVq0SM8995x%2B/vlnDRgwQE8%2B%2BaQ7NgMAAHgoi8PhcLi7iKbAbj/j7hIaFavVR6GhzVVcfI7zERopeuQZPL1PI5Z/5u4SLsu7Dw6o13Ke3idPZrO1cMt6vfIQIQAAgDsRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsACAAAwGAELAADAYAQsAAAAgxGwAAAADEbAAgAAMBgBCwAAwGAELAAAAIMRsAAAAAxGwAIAADAYAQsAAMBgBCwAAACDEbAAAAAMRsC6hIqKCs2fP18xMTEaOHCg1q9f7%2B6SAACAB7G6u4DGaMmSJTp48KA2bNigkydPau7cuWrXrp2GDx/u7tIAAIAHIGBd5Pz589q6davWrl2rHj16qEePHsrNzdWWLVsIWAAAoE44RHiRnJwcVVVVKSoqyjkWHR2trKws1dTUuLEyAADgKfgE6yJ2u12hoaHy8/NzjrVp00YVFRUqKSlRq1atfvc5CgsLZbfbXcas1kCFhYUZXq%2Bn8vX1cfmLxoceeQb6ZK4Ryz9zdwmX5YNHBrm7hCaLgHWRsrIyl3AlyXm/srKyTs%2BRnp6utLQ0l7GZM2dq1qxZxhTpBQoLC7Vhw4uKi4sjeDZS9MgzeHqf/rW4aZx6UVhYqPT0dI/tEy4fAesi/v7%2BtYLUr/ebNWtWp%2BeIi4tTbGysy5jNZjOmQC9ht9uVlpam2NhY3mwaKXrkGeiTZ6BPTQ8B6yLh4eEqLi5WVVWVrNZfdo/dblezZs0UHBxcp%2BcICwvjBQQAQBPGQfuLdO/eXVarVZmZmc6xjIwM9ezZUz4%2B7C4AAPD7SAwXCQgI0JgxY7RgwQJlZ2dr165dWr9%2BvaZMmeLu0gAAgIfwXbBgwQJ3F9HY9O/fX4cPH9YzzzyjL774Qn/72980fvx4d5fldZo3b66%2BffuqefPm7i4Fv4EeeQb65BnoU9NicTgcDncXAQAA4E04RAgAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwQhYAAAABiNgAQAAGIyABVM4HA5Nnz5db775pst4cXGxZs2apaioKMXGxmr79u0u84cPH9aECRMUGRmp8ePH6%2BDBg2aW3SQdPnxYXbt2dbmNGzfOOX/s2DFNmzZNvXv31q233qrdu3e7sdqmraKiQvPnz1dMTIwGDhyo9evXu7skSPrggw9qvYYSEhIk8Z7WlBCwcMXV1NQoJSVFn332Wa25pKQknTlzRunp6br//vv16KOPKjs7W5J0/vx53XvvvYqJidGbb76pqKgo3XfffTp//rzZm9Ck5OXlqXv37tq9e7fztm7dOkm/BOX4%2BHi1adNG27Zt0%2BjRozVz5kydPHnSzVU3TUuWLNHBgwe1YcMGPfHEE0pLS9N7773n7rKavLy8PA0ZMsTlNZSSksJ7WhNjdXcB8G4FBQV65JFHdPz4cQUHB7vM/fDDD/roo4/04YcfqkOHDurSpYsyMzP1yiuvqFevXtq5c6f8/f01Z84cWSwWJScn65NPPtF7773n8okKjJWfn6/OnTvLZrPVmtuzZ4%2BOHTum1157TYGBgercubO%2B%2BOILbdu2TbNmzXJDtU3X%2BfPntXXrVq1du1Y9evRQjx49lJubqy1btmj48OHuLq9Jy8/PV5cuXWq9ht544w3e05oQPsHCFXXo0CG1bdtW27ZtU4sWLVzmsrKy1LZtW3Xo0ME5Fh0dra%2B%2B%2Bso5Hx0dLYvFIkmyWCzq06ePMjMzzduAJig/P1%2BdOnW65FxWVpZuuOEGBQYGOseio6PpiRvk5OSoqqpKUVFRzrHo6GhlZWWppqbGjZXht15DvKc1LXyChSsqNjZWsbGxl5yz2%2B0KCwtzGWvdurUKCgqc89ddd12t%2Bdzc3CtTLCT98j%2BHmpoa/fnPf9aZM2d00003ac6cOQoKCvrNnp0%2BfdpN1TZddrtdoaGh8vPzc461adNGFRUVKikpUatWrdxYXdPlcDh09OhR7d69W6tXr1Z1dbWGDx%2BuhIQE3tOaGAIWGqS8vNwZiC5ms9lcPum4WFlZmcv/HCTJz89PlZWVdZpH/fxfPWvVqpWOHTumDh066KmnnlJpaalSU1M1e/ZsrVq1ip40Ir/VC0n0w41Onjzp7M3y5ct1/PhxpaSkqLy8nNdPE0PAQoNkZWVpypQpl5xbuXKlhg4d%2BpvL%2Bvv713pjqaysVLNmzeo0j/r5vZ7t2bNH/v7%2BuuqqqyRJTz/9tMaPH6%2BCggL5%2B/urpKTEZRl64h6/9fqQRD/cqH379tq7d69atmwpi8Wi7t27q6amRrNnz1bfvn15T2tCCFhokH79%2Bumbb76p17Lh4eEqKipyGSsqKnKeGPpb8xcfosLludyede7cWdIvX1gIDw9XXl6eyzw9cY/w8HAVFxerqqpKVusvb%2BV2u13NmjWr9YUSmCskJMTlfufOnVVRUSGbzcZ7WhPCSe5wm969e%2BvEiRMu5%2B9kZGSod%2B/ekqTIyEh99dVXcjgckn45t2H//v2KjIx0S71NQV5enqKionTs2DHn2Ndffy2r1aprrrlGkZGROnTokMrLy53zGRkZ9MQNunfvLqvV6nKCdEZGhnr27CkfH97a3eXTTz9Vv379VFZW5hz7%2BuuvFRIS4vwSD%2B9pTQOvQrhNx44dNXDgQM2ePVs5OTnaunWrduzYoTvvvFOSNHz4cJWWlmrx4sXKy8vT4sWLVVZWphEjRri5cu8VERGha665Ro899pi%2B/fZb/etf/9Jjjz2mCRMmqGXLlurbt6/atm2rpKQk5ebmas2aNcrOztZtt93m7tKbnICAAI0ZM0YLFixQdna2du3apfXr1//m4V%2BYIyoqSv7%2B/nr00Ud15MgRffzxx1qyZInuuece3tOaGIvj1ygNXGGxsbGaOXOmy/VefvzxRyUnJ%2Bvzzz%2BXzWbTQw89pFGjRjnns7Oz9cQTTyg/P19du3bVwoULdcMNN7ij/Cbj1KlTWrx4sfbu3SsfHx/9%2Bc9/1pw5c5wn537//fdKTk5WVlaWrrnmGs2fP19//OMf3Vx101RWVqYFCxbov//7vxUUFKQZM2Zo2rRp7i6rycvNzdVTTz2lzMxMNW/eXHfccYfi4%2BNlsVh4T2tCCFgAAAAG4xAhAACAwQhYAAAABiNgAQAAGIyABQAAYDACFgAAgMEIWAAAAAYjYAEAABiMgAUAAGAwAhYAAIDBCFgAAAAGI2ABAAAYjIAFAABgMAIWAACAwf4fUpcg/7TgE1oAAAAASUVORK5CYII%3D\"/>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common4394786231324707555\">\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">30.372637375976524</td>\n",
" <td class=\"number\">3</td>\n",
" <td class=\"number\">0.2%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">30.326202973510703</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">30.230244263793907</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">30.339678391601524</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">30.31968493726083</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">30.269297227050743</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">30.25213108935543</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">30.2778802958984</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">30.29055954694627</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">30.208529099609336</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"other\">\n",
" <td class=\"fillremaining\">Other values (1798)</td>\n",
" <td class=\"number\">1808</td>\n",
" <td class=\"number\">98.9%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme4394786231324707555\">\n",
" <p class=\"h4\">Minimum 5 values</p>\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">-122.1622152448308</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">19.826736540791785</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">27.449466857528705</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">28.750047928337835</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">29.357088669921836</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" <p class=\"h4\">Maximum 5 values</p>\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">60.60645713042118</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">60.606883790490656</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">60.6076773671997</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">60.65110696044303</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">84.33334350585938</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" </div>\n",
"</div>\n",
"</div><div class=\"row variablerow\">\n",
" <div class=\"col-md-3 namecol\">\n",
" <p class=\"h4 pp-anchor\" id=\"pp_var_text\">text<br/>\n",
" <small>Boolean</small>\n",
" </p>\n",
" </div><div class=\"col-md-6\">\n",
" <div class=\"row\">\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
" <tr class=\"\">\n",
" <th>Distinct count</th>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Unique (%)</th>\n",
" <td>0.1%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (n)</th>\n",
" <td>0</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>0.55057</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
"</div>\n",
"<div class=\"col-md-3 collapse in\" id=\"minifreqtable-5920301720999239581\">\n",
" <table class=\"mini freq\">\n",
" <tr class=\"\">\n",
" <th>1</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 55.1%\">\n",
" 1007\n",
" </div>\n",
" \n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <th>0</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:81%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 44.9%\">\n",
" 822\n",
" </div>\n",
" \n",
" </td>\n",
"</tr>\n",
" </table>\n",
"</div>\n",
"<div class=\"col-md-12 text-right\">\n",
" <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-5920301720999239581, #minifreqtable-5920301720999239581\"\n",
" aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-5920301720999239581\">\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">1</td>\n",
" <td class=\"number\">1007</td>\n",
" <td class=\"number\">55.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0</td>\n",
" <td class=\"number\">822</td>\n",
" <td class=\"number\">44.9%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:81%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
"</div>\n",
"</div><div class=\"row variablerow\">\n",
" <div class=\"col-md-3 namecol\">\n",
" <p class=\"h4 pp-anchor\" id=\"pp_var_type\">type<br/>\n",
" <small>Numeric</small>\n",
" </p>\n",
" </div><div class=\"col-md-6\">\n",
" <div class=\"row\">\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
" <tr>\n",
" <th>Distinct count</th>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Unique (%)</th>\n",
" <td>0.3%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Missing (n)</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Infinite (%)</th>\n",
" <td>0.0%</td>\n",
" </tr>\n",
" <tr class=\"ignore\">\n",
" <th>Infinite (n)</th>\n",
" <td>0</td>\n",
" </tr>\n",
" </table>\n",
"\n",
" </div>\n",
" <div class=\"col-sm-6\">\n",
" <table class=\"stats \">\n",
"\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>1.1361</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr class=\"alert\">\n",
" <th>Zeros (%)</th>\n",
" <td>54.7%</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
"</div>\n",
"<div class=\"col-md-3 collapse in\" id=\"minihistogram-1230640895052790465\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAAR5JREFUeJzt3bENglAUQFE1juQQ7mTtTg7hTt/emBspEIRzepJXcPNeaDiOMcYB%2BOi09ACwZuelB3h3uT0mP/O8X2eYBGwQSAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoGwul%2BwbYnfyf2/3Qbi5eUbTiwIu90gTLPXjWuDQBAIBCfWBkw9f7Zw%2BvyKDQJBIBCcWMxmC1%2B%2BbBAIAoFwHGOMpYeAtbJBIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAILwA%2BuMamcwxHuIAAAAASUVORK5CYII%3D\">\n",
"\n",
"</div>\n",
"<div class=\"col-md-12 text-right\">\n",
" <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-1230640895052790465,#minihistogram-1230640895052790465\"\n",
" aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"row collapse col-md-12\" id=\"descriptives-1230640895052790465\">\n",
" <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
" <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-1230640895052790465\"\n",
" aria-controls=\"quantiles-1230640895052790465\" role=\"tab\"\n",
" data-toggle=\"tab\">Statistics</a></li>\n",
" <li role=\"presentation\"><a href=\"#histogram-1230640895052790465\" aria-controls=\"histogram-1230640895052790465\"\n",
" role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
" <li role=\"presentation\"><a href=\"#common-1230640895052790465\" aria-controls=\"common-1230640895052790465\"\n",
" role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
" <li role=\"presentation\"><a href=\"#extreme-1230640895052790465\" aria-controls=\"extreme-1230640895052790465\"\n",
" role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
"\n",
" </ul>\n",
"\n",
" <div class=\"tab-content\">\n",
" <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-1230640895052790465\">\n",
" <div class=\"col-md-4 col-md-offset-1\">\n",
" <p class=\"h4\">Quantile statistics</p>\n",
" <table class=\"stats indent\">\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5-th percentile</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q1</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Median</th>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q3</th>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95-th percentile</th>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Range</th>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Interquartile range</th>\n",
" <td>2</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" <div class=\"col-md-4 col-md-offset-2\">\n",
" <p class=\"h4\">Descriptive statistics</p>\n",
" <table class=\"stats indent\">\n",
" <tr>\n",
" <th>Standard deviation</th>\n",
" <td>1.512</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Coef of variation</th>\n",
" <td>1.3308</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Kurtosis</th>\n",
" <td>-0.16159</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>1.1361</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MAD</th>\n",
" <td>1.2757</td>\n",
" </tr>\n",
" <tr class=\"\">\n",
" <th>Skewness</th>\n",
" <td>1.0716</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sum</th>\n",
" <td>2078</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Variance</th>\n",
" <td>2.2862</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory size</th>\n",
" <td>14.4 KiB</td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-1230640895052790465\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzt3Xt0FGWe//FPkjZXjAZIstwWdmAdEWMTEgEXUMhhFIRZMMhEdMCRWYMYyHFFwRAXkYsZCSBHw1V0RHAlchEFEc/gzuI4MorBBBm8BHDZuIDprImIaRKS9O8Pf/bZNjhGearKLt6vc3I8/TzVVd/6BuSTpyrVEYFAICAAAAAYE%2Bl0AQAAAG5DwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhnmcLuBC4fN9aXyfkZERat8%2BQZ9//pVaWgLG938ho7fWobfWor/WobfWsbK3yckXG91fW7GCFcYiIyMUERGhyMgIp0txHXprHXprLfprHXprHTf2loAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMCzsA1ZjY6NGjx6tt99%2BOzhWVVWl3/zmN%2Brbt69uvPFGvfnmmyHveeuttzR69Gh5vV5NmjRJVVVVIfPPPPOMhgwZovT0dM2ePVt%2Bv9%2BWcwEAAO4Q1gGroaFB9957ryorK4NjgUBAeXl56tixo7Zs2aIxY8Zo2rRpOn78uCTp%2BPHjysvLU3Z2tjZv3qz27dvr7rvvViDw9aP5X3vtNZWUlGjevHlat26dKioqVFxc7Mj5AQCA8BS2Aevw4cP61a9%2Bpf/%2B7/8OGf/LX/6iqqoqzZs3Tz179tSUKVPUt29fbdmyRZK0adMmXXnllZo8ebL%2B8R//UUVFRfqf//kfvfPOO5KkZ599VrfffruGDRumq666Sg8//LC2bNnCKhYAAGizsA1Y77zzjgYMGKDS0tKQ8YqKCl1xxRWKj48PjmVkZKi8vDw4n5mZGZyLi4tTnz59VF5erubmZr3//vsh83379tXZs2f14YcfWnxGAADALTxOF/Bj3Xrrrecc9/l8SklJCRnr0KGDTp48%2Bb3zp06dUkNDQ8i8x%2BPRpZdeGnx/W1RXV8vn84WMeTzxrY57vqKiIkP%2BC3PorXXorbXor3XorXXc2NuwDVjfxe/3Kzo6OmQsOjpajY2N3zt/5syZ4Ovven9blJaWqqSkJGQsLy9P%2Bfn5bd5HW2UW7jK%2BT6u8u3CE0yX8YImJcU6X4Fr01lr01zr01jpu6q3rAlZMTIzq6upCxhobGxUbGxuc/3ZYamxsVGJiomJiYoKvvz0fF9f2b3pOTo6ysrJCxjyeeNXWftXmfbRFuCV90%2BdvpaioSCUmxunUKb%2Bam1ucLsdV6K216K916K11rOxtUlKC0f21lesCVmpqqg4fPhwyVlNTE7w8l5qaqpqamlbzvXv31qWXXqqYmBjV1NSoZ8%2BekqSmpibV1dUpOTm5zTWkpKS0uhzo832ppqYL%2By9kOJ5/c3NLWNYdDuitteivdeitddzU2/BaAmkDr9erv/71r8HLfZJUVlYmr9cbnC8rKwvO%2Bf1%2BHTp0SF6vV5GRkUpLSwuZLy8vl8fj0eWXX27fSQAAgLDmuoDVv39/derUSQUFBaqsrNSaNWt04MAB3XzzzZKkcePGaf/%2B/VqzZo0qKytVUFCgrl27asCAAZK%2Bvnn%2Bqaee0u7du3XgwAHNnTtXv/rVr37QJUIAAHBhc13AioqK0ooVK%2BTz%2BZSdna2XX35Zy5cvV%2BfOnSVJXbt21RNPPKEtW7bo5ptvVl1dnZYvX66IiAhJ0qhRozRlyhTNmTNHkydP1lVXXaX777/fyVMCAABhJiLwzSPMYSmf70vj%2B/R4IvWLxX8yvl%2BrvHrPIKdLaDOPJ1JJSQmqrf3KNfcD/FTQW2vRX%2BvQW%2BtY2dvk5IuN7q%2BtXLeCBQAA4DQCFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDDXBqwTJ05oypQp6tevn7KysvTMM88E5w4dOqTx48fL6/Vq3LhxOnjwYMh7d%2BzYoeHDh8vr9SovL0%2Bff/65zdUDAIBw5tqAdc899yg%2BPl5bt27V7NmztWzZMv3hD39QfX29cnNzlZmZqa1btyo9PV1TpkxRfX29JOnAgQMqLCzUtGnTVFpaqlOnTqmgoMDhswEAAOHElQHriy%2B%2BUHl5uaZOnaoePXpo%2BPDhGjJkiPbu3audO3cqJiZGM2fOVM%2BePVVYWKiEhATt2rVLkrRhwwaNHDlSY8eO1eWXX65FixZpz549qqqqcvisAABAuHBlwIqNjVVcXJy2bt2qs2fP6ujRo9q/f7969%2B6tiooKZWRkKCIiQpIUERGhfv36qby8XJJUUVGhzMzM4L46deqkzp07q6KiwpFzAQAA4cfjdAFWiImJ0Zw5czR//nw9%2B%2Byzam5uVnZ2tsaPH6/XX39dvXr1Ctm%2BQ4cOqqyslCRVV1crJSWl1fzJkyfbfPzq6mr5fL6QMY8nvtV%2Bz1dUVHjlY48nfOr9prfh1uNwQG%2BtRX%2BtQ2%2Bt48beujJgSdKRI0c0bNgw3XHHHaqsrNT8%2BfN1zTXXyO/3Kzo6OmTb6OhoNTY2SpLOnDnzN%2BfborS0VCUlJSFjeXl5ys/P/5Fn4w5JSQlOl/CDJSbGOV2Ca9Fba9Ff69Bb67ipt64MWHv37tXmzZu1Z88excbGKi0tTZ999plWrlypbt26tQpLjY2Nio2NlfT16te55uPi2v5Nz8nJUVZWVsiYxxOv2tqvfuQZnVu4JX3T52%2BlqKhIJSbG6dQpv5qbW5wux1XorbXor3XorXWs7K1TP9y7MmAdPHhQ3bt3D4YmSbriiiu0atUqZWZmqqamJmT7mpqa4OW71NTUc84nJye3%2BfgpKSmtLgf6fF%2BqqenC/gsZjuff3NwSlnWHA3prLfprHXprHTf1NryWQNooJSVFx44dC1mJOnr0qLp27Sqv16v33ntPgUBAkhQIBLR//355vV5JktfrVVlZWfB9J06c0IkTJ4LzAAAA38eVASsrK0sXXXSRHnzwQX3yySf6j//4D61atUoTJ07UiBEjdOrUKS1cuFCHDx/WwoUL5ff7NXLkSEnShAkT9NJLL2nTpk368MMPNXPmTA0dOlTdunVz%2BKwAAEC4cGXAuvjii/XMM8/I5/Pp5ptvVlFRkaZOnaqcnBy1a9dOq1evVllZmbKzs1VRUaE1a9YoPj5ekpSenq558%2BZp%2BfLlmjBhgi655BIVFRU5fEYAACCcRAS%2BuVYGS/l8Xxrfp8cTqV8s/pPx/Vrl1XsGOV1Cm3k8kUpKSlBt7VeuuR/gp4LeWov%2BWofeWsfK3iYnX2x0f23lyhUsAAAAJxGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwzPaANX78eG3cuFFffvml3YcGAACwhe0Ba%2BDAgVq1apUGDx6se%2B%2B9V2%2B%2B%2BaYCgYDdZQAAAFjG9oA1Y8YM/fGPf9SKFSsUFRWl6dOna%2BjQoXrsscf0ySef2F0OAACAcR4nDhoREaFBgwZp0KBB8vv9Wr9%2BvVasWKE1a9aoX79%2Buv3223X99dc7URoAAMB5cyRgSVJ1dbVefvllvfzyy/r444/Vr18/3XTTTTp58qQefPBB7du3T4WFhU6VBwAA8KPZfonwpZde0uTJkzVs2DCtW7dO1113nXbt2qV///d/1/jx4zV9%2BnTNnDlTmzdvPq/jNDY26uGHH9bVV1%2Btf/qnf9LSpUuD93odOnRI48ePl9fr1bhx43Tw4MGQ9%2B7YsUPDhw%2BX1%2BtVXl6ePv/88/OqBQAAXFhsD1iFhYVKSEjQ8uXLtWfPHs2YMUM9evQI2eZnP/uZfv3rX5/XcRYsWKC33npLTz31lJYsWaIXXnhBpaWlqq%2BvV25urjIzM7V161alp6drypQpqq%2BvlyQdOHBAhYWFmjZtmkpLS3Xq1CkVFBScVy0AAODCYvslwjfeeENJSUmqq6tTZOTX%2Be7AgQPq06ePoqKiJEn9%2BvVTv379fvQx6urqtGXLFv3%2B97/XVVddJUmaPHmyKioq5PF4FBMTo5kzZyoiIkKFhYV64403tGvXLmVnZ2vDhg0aOXKkxo4dK0latGiRhg0bpqqqKnXr1u08zx4AAFwIbF/BOn36tEaMGKEnn3wyOJabm6sxY8boxIkTRo5RVlamdu3aqX///iHHKCoqUkVFhTIyMhQRESHp6xvu%2B/Xrp/LycklSRUWFMjMzg%2B/r1KmTOnfurIqKCiO1AQAA97N9BeuRRx5R9%2B7ddccddwTHdu7cqVmzZqmoqEiPP/74eR%2BjqqpKXbp00bZt27Rq1SqdPXtW2dnZmjp1qnw%2Bn3r16hWyfYcOHVRZWSnp65vvU1JSWs2fPHmyzcevrq6Wz%2BcLGfN44lvt93xFRYXXg/g9nvCp95vehluPwwG9tRb9tQ69tY4be2t7wHr33Xf1wgsvKDk5OTjWvn17zZw5U7fddpuRY9TX1%2BvYsWPauHGjioqK5PP5NGfOHMXFxcnv9ys6Ojpk%2B%2BjoaDU2NkqSzpw58zfn26K0tFQlJSUhY3l5ecrPz/%2BRZ%2BQOSUkJTpfwgyUmxjldgmvRW2vRX%2BvQW%2Bu4qbe2ByyPx6NTp061Gvf7/cae6O7xeHT69GktWbJEXbp0kSQdP35czz//vLp3794qLDU2Nio2NlaSFBMTc875uLi2f9NzcnKUlZX1rZriVVv71Y85ne8Ubknf9PlbKSoqUomJcTp1yq/m5hany3EVemst%2BmsdemsdK3vr1A/3tgesa6%2B9VgsWLNDSpUv193//95K%2BvqRXVFSkIUOGGDlGcnKyYmJiguFKkv7hH/5BJ06cUP/%2B/VVTUxOyfU1NTfDyXWpq6jnn/%2B%2BK2/dJSUlpdTnQ5/tSTU0X9l/IcDz/5uaWsKw7HNBba9Ff69Bb67ipt7YvgcyaNUuNjY264YYbNGDAAA0YMEDXX3%2B9zp49a%2BxxCF6vVw0NDSEfvXP06FF16dJFXq9X7733XnC1LBAIaP/%2B/fJ6vcH3lpWVBd934sQJnThxIjgPAADwfWxfwerQoYNefPFFvfXWW6qsrJTH41GvXr10zTXXBH%2Bz73z97Gc/09ChQ1VQUKC5c%2BfK5/NpzZo1mjp1qkaMGKElS5Zo4cKFuuWWW7Rx40b5/X6NHDlSkjRhwgRNnDhRffv2VVpamhYuXKihQ4fyiAYAANBmjnxUTlRUlIYMGWLskuC5LF68WPPnz9eECRMUFxen2267TRMnTlRERIRWr16thx56SC%2B88IJ%2B/vOfa82aNYqPj5ckpaena968eXr88cf1xRdfaNCgQZo/f75ldQIAAPeJCJi6s7yNfD6fli1bpv379%2Bvs2bOtbmx//fXX7SzHNj7fl8b36fFE6heL/2R8v1Z59Z5BTpfQZh5PpJKSElRb%2B5Vr7gf4qaC31qK/1qG31rGyt8nJFxvdX1vZvoL1b//2bzp48KBGjRqliy925qQBAACsZHvA%2Bstf/qK1a9eGPC0dAADATWz/LcL4%2BHh16NDB7sMCAADYxvaANWbMGK1du1bNzc12HxoAAMAWtl8irKur044dO/Sf//mf6tatW6uPpXn22WftLgkAAMAoRx7TMHr0aCcOCwAAYAvbA1ZRUZHdhwQAALCVI58WXF1drZKSEs2YMUP/%2B7//q127duno0aNOlAIAAGCc7QHr2LFj%2BuUvf6kXX3xRr732murr67Vz506NGzdOFRUVdpcDAABgnO0B63e/%2B52GDx%2Bu3bt366KLLpIkLV26VFlZWVq8eLHd5QAAABhne8Dav3%2B/7rjjjpAPdvZ4PLr77rt16NAhu8sBAAAwzvaA1dLSopaW1p8z9NVXXykqKsrucgAAAIyzPWANHjxYq1evDglZdXV1Ki4u1sCBA%2B0uBwAAwDjbA9YDDzyggwcPavDgwWpoaNDUqVM1bNgwffrpp5o1a5bd5QAAABhn%2B3OwUlNTtW3bNu3YsUMffPCBWlpaNGHCBI0ZM0bt2rWzuxwAAADjHHmSe1xcnMaPH%2B/EoQEAACxne8CaNGnS35znswgBAEC4sz1gdenSJeR1U1OTjh07po8//li333673eUAAAAY95P5LMLly5fr5MmTNlcDAABgniOfRXguY8aM0auvvup0GQAAAOftJxOw3nvvPR40CgAAXOEncZP76dOn9dFHH%2BnWW2%2B1uxwAAADjbA9YnTt3DvkcQkm66KKL9Otf/1r//M//bHc5AAAAxtkesH73u9/ZfUgAAABb2R6w9u3b1%2BZtr776agsrAQAAsIbtAWvixInBS4SBQCA4/u2xiIgIffDBB3aXBwAAcN5sD1irVq3SggULdP/996t///6Kjo7W%2B%2B%2B/r3nz5ummm27SjTfeaHdJAAAARtn%2BmIaioiLNmTNHN9xwg5KSkpSQkKCBAwdq3rx5ev7559WlS5fgFwAAQDiyPWBVV1efMzy1a9dOtbW1dpcDAABgnO0Bq2/fvlq6dKlOnz4dHKurq1NxcbGuueYau8sBAAAwzvZ7sB588EFNmjRJ1157rXr06KFAIKD/%2Bq//UnJysp599lm7ywEAADDO9oDVs2dP7dy5Uzt27NCRI0ckSbfddptGjRqluLg4u8sBAAAwzvaAJUmXXHKJxo8fr08//VTdunWT9PXT3AEAANzA9nuwAoGAFi9erKuvvlqjR4/WyZMnNWvWLBUWFurs2bN2lwMAAGCc7QFr/fr1eumll/TQQw8pOjpakjR8%2BHDt3r1bJSUldpcDAABgnO0Bq7S0VHPmzFF2dnbw6e033nijFixYoO3bt9tdDgAAgHG2B6xPP/1UvXv3bjV%2B%2BeWXy%2Bfz2V0OAACAcbYHrC5duuj9999vNf7GG28Eb3gHAAAIZ7b/FuFvf/tbPfzww/L5fAoEAtq7d69KS0u1fv16PfDAA3aXAwAAYJztAWvcuHFqamrSypUrdebMGc2ZM0ft27fXPffcowkTJthdDgAAgHG2B6wdO3ZoxIgRysnJ0eeff65AIKAOHTrYXQYAAIBlbL8Ha968ecGb2du3b0%2B4AgAArmN7wOrRo4c%2B/vhjuw8LAABgG9svEV5%2B%2BeW67777tHbtWvXo0UMxMTEh80VFRXaXBAAAYJTtAeuTTz5RRkaGJPHcKwAA4Eq2BKxFixZp2rRpio%2BP1/r16%2B04JAAAgGNsuQfr97//vfx%2Bf8hYbm6uqqur7Tg8AACArWwJWIFAoNXYvn371NDQYMfhAQAAbGX7bxECAAC4nesDVm5ubshH8Bw6dEjjx4%2BX1%2BvVuHHjdPDgwZDtd%2BzYoeHDh8vr9SovL0%2Bff/653SUDAIAwZ1vAioiIsOtQQa%2B88or27NkTfF1fX6/c3FxlZmZq69atSk9P15QpU1RfXy9JOnDggAoLCzVt2jSVlpbq1KlTKigosL1uAAAQ3mx7TMOCBQtCnnl19uxZFRcXKyEhIWQ7U8/Bqqur06JFi5SWlhYc27lzp2JiYjRz5kxFRESosLBQb7zxhnbt2qXs7Gxt2LBBI0eO1NixYyV9/duPw4YNU1VVlbp162akLgAA4H62BKyrr7661TOv0tPTVVtbq9raWkuO%2Beijj2rMmDEhv6lYUVGhjIyM4GpaRESE%2BvXrp/LycmVnZ6uiokJ33nlncPtOnTqpc%2BfOqqioIGABAIA2syVg2f3sq7179%2Brdd9/V9u3bNXfu3OC4z%2BdTr169Qrbt0KGDKisrJUnV1dVKSUlpNX/y5MkfdPzq6upWgdLjiW%2B17/MVFRVet9B5POFT7ze9DbcehwN6ay36ax16ax039tb2J7lbraGhQQ899JDmzJmj2NjYkDm/36/o6OiQsejoaDU2NkqSzpw58zfn26q0tFQlJSUhY3l5ecrPz/9B%2B3GbpKSE79/oJyYxMc7pElyL3lqL/lqH3lrHTb11XcAqKSnRlVdeqSFDhrSai4mJaRWWGhsbg0Hsu%2Bbj4n7YNzwnJ0dZWVkhYx5PvGprv/pB%2B/k%2B4Zb0TZ%2B/laKiIpWYGKdTp/xqbm5xuhxXobfWor/WobfWsbK3Tv1w77qA9corr6impkbp6emSFAxMr732mkaPHq2ampqQ7WtqaoKX7lJTU885n5yc/INqSElJaXU50Of7Uk1NF/ZfyHA8/%2BbmlrCsOxzQW2vRX%2BvQW%2Bu4qbeuC1jr169XU1NT8PXixYslSffdd5/27dunJ598UoFAQBEREQoEAtq/f7/uuusuSZLX61VZWZmys7MlSSdOnNCJEyfk9XrtPxEAABC2XBewunTpEvL6m8dAdO/eXR06dNCSJUu0cOFC3XLLLdq4caP8fr9GjhwpSZowYYImTpyovn37Ki0tTQsXLtTQoUP5DUIAAPCDhNdNPOepXbt2Wr16dXCVqqKiQmvWrFF8fLykrx8dMW/ePC1fvlwTJkzQJZdcYuy5XAAA4MIRETjXJzHDOJ/vS%2BP79Hgi9YvFfzK%2BX6u8es8gp0toM48nUklJCaqt/co19wP8VNBba9Ff69Bb61jZ2%2BTki43ur60uqBUsAAAAOxCwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhHqcLAHDhySzc5XQJP8ir9wxyugQAYYYVLAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwnoMFfAee1QQA%2BLFYwQIAADDMtQHrs88%2BU35%2Bvvr3768hQ4aoqKhIDQ0NkqSqqir95je/Ud%2B%2BfXXjjTfqzTffDHnvW2%2B9pdGjR8vr9WrSpEmqqqpy4hQAAECYcmXACgQCys/Pl9/v13PPPafHHntMf/zjH7Vs2TIFAgHl5eWpY8eO2rJli8aMGaNp06bp%2BPHjkqTjx48rLy9P2dnZ2rx5s9q3b6%2B7775bgUDA4bMCAADhwpX3YB09elTl5eX685//rI4dO0qS8vPz9eijj%2Braa69VVVWVNm7cqPj4ePXs2VN79%2B7Vli1bNH36dG3atElXXnmlJk%2BeLEkqKirSoEGD9M4772jAgAFOnhYAAAgTrlzBSk5O1tq1a4Ph6hunT59WRUWFrrjiCsXHxwfHMzIyVF5eLkmqqKhQZmZmcC4uLk59%2BvQJzgMAAHwfV65gJSYmasiQIcHXLS0t2rBhgwYOHCifz6eUlJSQ7Tt06KCTJ09K0vfOt0V1dbV8Pl/ImMcT32q/5ysqKrzysccTPvWGW2%2Bl8OkvvbXWN/0Nxz7/1NFb67ixt64MWN9WXFysQ4cOafPmzXrmmWcUHR0dMh8dHa3GxkZJkt/v/5vzbVFaWqqSkpKQsby8POXn5//IM3CHpKQEp0twNfprnXDsbWJinNMluBa9tY6beuv6gFVcXKx169bpscce02WXXaaYmBjV1dWFbNPY2KjY2FhJUkxMTKsw1djYqMTExDYfMycnR1lZWSFjHk%2B8amu/%2BpFncW7hlvRNn7%2BVwq23Uvj0l95aKyoqUomJcTp1yq/m5hany3EVemsdK3vr1A9Irg5Y8%2BfP1/PPP6/i4mLdcMMNkqTU1FQdPnw4ZLuamprg5bvU1FTV1NS0mu/du3ebj5uSktLqcqDP96Wami7sv5AX%2Bvlbjf5aJxx729zcEpZ1hwN6ax039Tb8fpRso5KSEm3cuFFLly7VqFGjguNer1d//etfdebMmeBYWVmZvF5vcL6srCw45/f7dejQoeA8AADA93FlwDpy5IhWrFihO%2B%2B8UxkZGfL5fMGv/v37q1OnTiooKFBlZaXWrFmjAwcO6Oabb5YkjRs3Tvv379eaNWtUWVmpgoICde3alUc0AACANnPlJcLXX39dzc3NWrlypVauXBky99FHH2nFihUqLCxUdna2unfvruXLl6tz586SpK5du%2BqJJ57QI488ouXLlys9PV3Lly9XRESEE6cCAPgJ4TNK0Vb%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%2B%2B/ffuo7q6Wj6fL2TM44lXSkqK0VqjosIrH3s84VNvuPVWCp/%2B0ltrhVt/6S3%2BLzf1mID1LX6/PyRcSQq%2BbmxsbNM%2BSktLVVJSEjI2bdo0TZ8%2B3UyR/191dbVu/7tK5eTkGA9vFzp6ax16ay36ax16a53q6mo98cQTruqte6KiITExMa2C1DevY2Nj27SPnJwcbd26NeQrJyfHeK0%2Bn08lJSWtVstw/uitdeitteivdeitddzYW1awviU1NVW1tbVqamqSx/N1e3w%2Bn2JjY5WYmNimfaSkpLgmgQMAgB%2BOFaxv6d27tzwej8rLy4NjZWVlSktLU2Qk7QIAAN%2BPxPAtcXFxGjt2rObOnasDBw5o9%2B7devrppzVp0iSnSwMAAGEiau7cuXOdLuKnZuDAgTp06JCWLFmivXv36q677tK4ceOcLuucEhIS1L9/fyUkJDhdiuvQW%2BvQW2vRX%2BvQW%2Bu4rbcRgUAg4HQRAAAAbsIlQgAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBKww1dDQoNmzZyszM1ODBw/W008/7XRJrtPY2KjRo0fr7bffdroU1/jss8%2BUn5%2Bv/v37a8iQISoqKlJDQ4PTZbnCsWPH9Nvf/lbp6ekaOnSo1q5d63RJrpSbm6sHHnjA6TJc5Q9/%2BIN%2B/vOfh3zl5%2Bc7XdZ58zhdAH6cRYsW6eDBg1q3bp2OHz%2BuWbNmqXPnzhoxYoTTpblCQ0ODZsyYocrKSqdLcY1AIKD8/HwlJibqueee0xdffKHZs2crMjJSs2bNcrq8sNbS0qLc3FylpaXpxRdf1LFjx3TvvfcqNTVVv/zlL50uzzVeeeUV7dmzRzfddJPTpbjK4cOHNWzYMM2fPz84FhMT42BFZhCwwlB9fb02bdqkJ598Un369FGfPn1UWVmp5557joBlwOHDhzVjxgzxKVJmHT16VOXl5frzn/%2Bsjh07SpLy8/P16KOPErDOU01NjXr37q25c%2BeqXbt26tGjh6655hqVlZURsAypq6vTokWLlJaW5nQprnPkyBFddtllSk5OdroUo7hEGIY%2B/PBDNTU1KT09PTiWkZGhiooKtbS0OFiZO7zzzjsaMGCASktLnS7FVZKTk7V27dpguPrG6dOnHarIPVJSUrRs2TK1a9dOgUBAZWVl2rdvn/r37%2B90aa7x6KOPasyYMerVq5fTpbjOkSNH1KNHD6fLMI4VrDDk8/mUlJSk6Ojo4FjHjh3V0NCguro6tW/f3sHqwt%2Btt97qdAmulJiYqCFDhgRft7S0aMOGDRo4cKCDVblPVlaWjh8/rmHDhumGG25wuhxX2Lt3r959911t375dc%2BfOdbocVwkEAvrkk0/05ptvavXq1WpubtaIESOUn58f8m9cOGIFKwz5/f5Wf/C%2Bed3Y2OhEScAPVlxcrEOHDulf//VfnS7FVR5//HGtWrVKH3zwgYqKipwuJ%2Bw1NDTooYce0pw5cxQbG%2Bt0Oa5z/Pjx4L9py5Yt06xZs7R9%2B3YtWrTI6dLOGytYYSgmJqZVkPrmNf8DQDgoLi7WunXr9Nhjj%2Bmyyy5zuhxX%2BeYeoYaGBt13332aOXNm2K8EOKmkpERXXnllyOorzOnSpYvefvttXXLJJYqIiFDv3r3V0tKi%2B%2B%2B/XwUFBYqKinK6xB%2BNgBWGUlNTVVtbq6amJnk8X38LfT6fYmNjlZiY6HB1wN82f/58Pf/88youLuYSliE1NTUqLy/X8OHDg2O9evXS2bNndfr0aW4bOA%2BvvPKKampqgve8fvPD7Guvvab33nvPydJc49JLLw153bNnTzU0NOiLL74I6z%2B7XCIMQ71795bH41F5eXlwrKysTGlpaYqM5FuKn66SkhJt3LhRS5cu1ahRo5wuxzU%2B/fRTTZs2TZ999llw7ODBg2rfvn1Y/wP1U7B%2B/Xpt375d27Zt07Zt25SVlaWsrCxt27bN6dJc4U9/%2BpMGDBggv98fHPvggw906aWXhv2fXf41DkNxcXEaO3as5s6dqwMHDmj37t16%2BumnNWnSJKdLA77TkSNHtGLFCt15553KyMiQz%2BcLfuH8pKWlqU%2BfPpo9e7YOHz6sPXv2qLi4WHfddZfTpYW9Ll26qHv37sGvhIQEJSQkqHv37k6X5grp6emKiYnRgw8%2BqKNHj2rPnj1atGiR/uVf/sXp0s4blwjDVEFBgebOnavbb79d7dq10/Tp03X99dc7XRbwnV5//XU1Nzdr5cqVWrlyZcjcRx995FBV7hAVFaUVK1Zo/vz5ysnJUVxcnCZOnMgPXfjJa9eunZ566ik98sgjGjdunBISEnTLLbe4ImBFBHiaIgAAgFFcIgQAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAw/4fSmKiLIvcxz0AAAAASUVORK5CYII%3D\"/>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-1230640895052790465\">\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">0</td>\n",
" <td class=\"number\">1000</td>\n",
" <td class=\"number\">54.7%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2</td>\n",
" <td class=\"number\">248</td>\n",
" <td class=\"number\">13.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:25%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1</td>\n",
" <td class=\"number\">224</td>\n",
" <td class=\"number\">12.2%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:23%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">4</td>\n",
" <td class=\"number\">185</td>\n",
" <td class=\"number\">10.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">3</td>\n",
" <td class=\"number\">121</td>\n",
" <td class=\"number\">6.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">5</td>\n",
" <td class=\"number\">51</td>\n",
" <td class=\"number\">2.8%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme-1230640895052790465\">\n",
" <p class=\"h4\">Minimum 5 values</p>\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">0</td>\n",
" <td class=\"number\">1000</td>\n",
" <td class=\"number\">54.7%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1</td>\n",
" <td class=\"number\">224</td>\n",
" <td class=\"number\">12.2%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:23%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2</td>\n",
" <td class=\"number\">248</td>\n",
" <td class=\"number\">13.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:25%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">3</td>\n",
" <td class=\"number\">121</td>\n",
" <td class=\"number\">6.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">4</td>\n",
" <td class=\"number\">185</td>\n",
" <td class=\"number\">10.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" <p class=\"h4\">Maximum 5 values</p>\n",
" \n",
"<table class=\"freq table table-hover\">\n",
" <thead>\n",
" <tr>\n",
" <td class=\"fillremaining\">Value</td>\n",
" <td class=\"number\">Count</td>\n",
" <td class=\"number\">Frequency (%)</td>\n",
" <td style=\"min-width:200px\">&nbsp;</td>\n",
" </tr>\n",
" </thead>\n",
" <tr class=\"\">\n",
" <td class=\"fillremaining\">1</td>\n",
" <td class=\"number\">224</td>\n",
" <td class=\"number\">12.2%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:90%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2</td>\n",
" <td class=\"number\">248</td>\n",
" <td class=\"number\">13.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">3</td>\n",
" <td class=\"number\">121</td>\n",
" <td class=\"number\">6.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:49%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">4</td>\n",
" <td class=\"number\">185</td>\n",
" <td class=\"number\">10.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:74%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">5</td>\n",
" <td class=\"number\">51</td>\n",
" <td class=\"number\">2.8%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:21%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" </div>\n",
"</div>\n",
"</div>\n",
" <div class=\"row headerrow highlight\">\n",
" <h1>Correlations</h1>\n",
" </div>\n",
" <div class=\"row variablerow\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkoAAAH%2BCAYAAABjkCFnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzs3XtYlHX%2B//HXcAZR8QAqaZ5KMNYUJc2yNLLStoO2pmmJ52xXsaOV2kEz11Lb1qRvB8s2D21kubaZq67VWv4qbUExTUxFTU05eIQ4y/z%2BIGedYGT0Zrxnbp%2BP6%2BIS7vuez7znI8jL9%2Be%2B77HZ7Xa7AAAAUIWf2QUAAAB4K4ISAACACwQlAAAAFwhKAAAALhCUAAAAXCAoAQAAuEBQAgAAcIGgBAAA4AJBCQAAwIUAswsALgYHDhzQjTfe6HJ/YGCgwsPD1apVK/Xq1Uv33XefwsPDL2CFAIDq2HgLE8DzzgxK7dq1qxKCysrKdPToUR08eFCSFB0drb/97W9q2bLlBa8VAPA/BCXgAjgzKC1cuFDdunWr9rgNGzboT3/6kwoKChQfH6/333//QpYJAPgNzlECvEi3bt30yCOPSJI2bdqkrVu3mlwRAFzcCEqAl7npppscn2dkZJhYCQCAk7kBL1O3bl3H57/88ovTvu%2B%2B%2B06LFi1Senq6jh8/rnr16qlTp04aOnSounfvXu14J0%2Be1Pvvv69169Zp165dKigoUGhoqC699FLdcMMNSkpKUv369Z0eExMTI0n6f//v/%2BmFF17QZ599Jj8/P8XFxWnBggUKCAhQRkaG3nnnHaWlpeno0aMKCwtT69at1bt3bw0ZMqTak9GLi4v1/vvva%2BXKldq1a5fKysrUpEkTXXPNNRo5cqRatWrldPyGDRuUlJSkjh07asmSJVq0aJGWL1%2Buffv2KTAwUFdccYWSkpLUu3fv85lqAKgRQQnwMvv27XN83rRpU8fnc%2BbM0fz58yVJ9evXV7t27ZSTk6PPPvtMn332mcaMGaPHHnvMaay9e/dq%2BPDhOnTokAICAnTppZfqkksu0cGDB7Vt2zZt27ZNn376qT766CPVqVOnSi3JycnatGmT2rVrp6NHjyoyMlIBAQFas2aNHn74YZWXl6tBgwaKiYnRL7/8oi1btigjI0P//Oc/9f777zuFpcOHD2vEiBHKysqSJLVq1Up16tTR7t27lZqaquXLl%2BuFF17QrbfeWqWOsrIyjRkzRt98840aNGigtm3bas%2BePdqwYYM2bNigqVOnavDgwcYmHgCqYwfgcfv377e3a9fO3q5dO/u333571mMff/xxe7t27exxcXH23Nxcu91ut//973%2B3t2vXzp6QkGD/%2BOOPHcdWVFTYP/30U3unTp3s7dq1s3/wwQdOY9133332du3a2QcOHGjPzs52etw//vEPe2xsrL1du3b2xYsXOz3udK2/%2B93v7Bs3brTb7Xb7qVOn7MeOHbOfOnXKfu2119rbtWtnnz9/vr28vNzxuK1bt9qvvvpqe7t27exvvPGGY3t5ebn9zjvvtLdr185%2Byy232Ldv3%2B7Yl5%2Bfb58yZYrjNW/evNmx79tvv3XU0qlTJ/s///lPx76TJ0/ahw0bZm/Xrp29a9eu9rKysrPOKwCcD85RArxAcXGxfvjhBz377LNavny5JGn48OFq3LixSktLNW/ePEnSn//8Z91xxx2Ox9lsNt16662aOHGiJGnevHkqLy%2BXJOXl5Wnnzp2SpOnTpysqKsrpcf369VPXrl0lSTt27Ki2rr59%2B%2Bqqq66SJPn5%2BSkiIkJHjx5Vbm6uJGngwIHy9/d3HB8XF6eHH35YvXv3VkREhGP7qlWrtH37dgUHB2v%2B/PmKjY117AsPD9fzzz%2Bv6667TmVlZXr55ZerrWXChAm6/fbbHV/XrVvX8bqPHz%2BuPXv2uJhdADh/LL0BF1hSUlKNx9x999168MEHJVVe/ZaXl6c6deq4vGnlHXfcoenTpys7O1s//PCDrrzySjVu3FjffvutiouLFRISUuUxp06dciyNFRcXVztuly5dqmxr0KCB6tevrxMnTuixxx7TH//4R3Xs2FF%2BfpX/7xo4cKAGDhzo9JjPP/9ckpSYmKgWLVpU%2B1wjRozQV199pY0bNyo/P9/pXC1JuuGGG6o8pm3bto7PT548We24AGAEQQm4wH57w0mbzabg4GBFREQoJiZGvXv31mWXXebYf7orVFZWpnvvvdfluP7%2B/qqoqFBWVpauvPJKx/aQkBAdPHhQ33//vX766Sft379fu3fv1vbt21VYWChJqqioqHbMyMjIap/nscce09NPP61169Zp3bp1ql%2B/vrp166Zrr71WvXr1cjq3SpKj2xMXF%2Bey/tP7Tp06pX379ul3v/ud0/4mTZpUecyZAfDUqVMuxwaA80VQAi6wp556yuUNJ6uTn58vSSotLVV6enqNx5/ZWcnKytKzzz6rjRs3Oh0THh6uhIQE5eTkKDMz0%2BVY1XWipMquUcuWLfXOO%2B/o66%2B/1okTJ7RmzRqtWbNGNptNPXv21LRp0xyBqaCgQJKqdIl%2BW9Npv73aT6p8m5ezsXPvXAAeQFACvFxoaKikyo7LsmXL3H7ckSNHdN999%2BnIkSOKjo7WwIEDdcUVV6hNmzZq3ry5bDabHn300bMGpbPp1q2bunXrpuLiYv33v//Vd999p6%2B%2B%2Bkrbtm3Tf/7zH40dO1bLly%2BXzWZzXFF3OvRV58yAV90VeABgBoIS4OVat24tqfJS//LycgUEVP2xtdvt2rBhg5o2baro6GgFBQXpo48%2B0pEjRxQREaGPPvpIDRs2rPK47Ozsc66ntLRU%2B/fvV0FBgTp27KiQkBD16NFDPXr00MMPP6xPP/1UjzzyiDIzM7Vjxw7FxsaqTZs2%2BuGHH7Rt2zaX437//feSKpciL7300nOuCwA8gaveAC931VVXqW7duvrll19cdpQ%2B%2BeQTDRs2TH379tXhw4clVb6/nFT5BrvVhaRdu3Zp8%2BbNks7t/J4vv/xSt956q%2B6//36VlpZW2X/NNdc4Pj897ukTsT///HPt37%2B/2nEXLlwoSerUqZPq1avndj0A4EkEJcDLhYWF6f7775ckzZgxQx999JHTyddr167Vs88%2BK6nycv7T3Zg2bdpIkjIzM7V69WrH8Xa7XV9%2B%2BaVGjx6tsrIySVJRUZHb9Vx//fVq0KCBjh8/rieeeELHjx937CsoKNCLL74oSWrWrJkuv/xySVKfPn0UExOjkpISjRkzxmm5r6CgQE8//bTWr1%2BvgICAKjfNBAAzsfQG%2BIAxY8Zo//79%2BuCDDzR58mTNnj1bzZs3V3Z2tnJyciRVXso/Y8YMx2MGDBig9957T/v27dOECRN0ySWXqEGDBjp06JCOHDmiwMBAde3aVRs3bjynJbigoCDNnTtXo0aN0sqVK/XZZ5/p0ksvlZ%2Bfn/bv36/CwkKFhobqhRdeUFBQkCQpICBA//d//6cxY8YoKytLd955p9OduU/fwmDatGlKSEio3ckDAAMISoAPsNlsmj59um655Ra9//772rx5s%2BMGjp06ddJtt92mQYMGOYKJVHkV2Ycffqj58%2Bfriy%2B%2B0IEDB5SXl6emTZuqV69eGjZsmMLCwtS7d29lZmbq559/VnR0tFv1dOvWTUuXLnW819vevXsVEBCgpk2bqkePHho5cmSVsZo3b66PPvpIf//737Vq1Srt3r1bhw8fVrNmzXTdddfp3nvvrfJebwBgNpuda2oBAACqxTlKAAAALhCUAAAAXCAoAQAAU5SWluq2227Thg0bXB7zww8/6O6771bHjh31hz/8QVu3bnXav2LFCvXu3VsdO3bUuHHjdPTo0VqtkaAEAAAuuJKSEj3yyCOO97OsTmFhoe6//34lJCRo2bJlio%2BP19ixYx3vU7llyxZNmTJF48ePV2pqqk6ePKlJkybVap0EJQAAcEHt2rVLAwcO1E8//XTW41auXKng4GA9/vjjatu2raZMmaI6depo1apVkqTFixerb9%2B%2B6tevn2JjYzVr1iytW7fO5Y1tzwdBCQAAXFAbN25Ut27dlJqaetbjMjIy1KVLF9lsNkmVt0rp3Lmz410FMjIynO691qxZM0VHRysjI6PWauU%2BSgAA4Jzk5OQoNzfXaVtkZKSioqLcevyQIUPcOi43N1eXXXaZ07ZGjRo5lutycnKqPGejRo0cb%2BVUG6wVlH5NnF6tdWtp507p8sulPXvMrqZmv64DezWbTQoOlkpKJC%2B/LdipoFCzS3Cbn590xjuleK2CArMrqJnNJtWtK%2BXne/23qCSp/vF9ZpdQs4AAKTpa%2Bvlnqbzc7Gpq1rKlOc/rod%2BLqa%2B8opSUFKdt48ePV3Jycq0%2BT1FRkdONdKXKdwc4/T6TxcXFZ91fG6wVlHxBRITk71/5J2qPL4RkH8OU1h6b7X8fvhCUfIKfX%2BWE%2BnEGiRkGDRqkxMREp22RkZG1/jzBwcFVQk9paalCQkLOuj80tPb%2BU0pQAgDAqjwUJKOiotxeZjOiSZMmysvLc9qWl5fneG5X%2B2sztBHFAQCwKj8/z3xcIB07dtSmTZt0%2Bt3W7Ha70tPT1bFjR8f%2BtLQ0x/GHDh3SoUOHHPtrA0EJAAB4jdzcXBUXF0uS%2BvTpo5MnT2rGjBnatWuXZsyYoaKiIvXt21eSNHjwYH388cdaunSpMjMz9fjjj6tXr15q0aJFrdVDUAIAwKp8sKPUo0cPrVy5UpIUHh6uN954Q2lpabrrrruUkZGhN998U2FhYZKk%2BPh4Pffcc3r11Vc1ePBg1a9fXzNnzqzVemx2u4VOLfSFs0/j46X0dKlzZ2nTJrOrqZmvXPUWEiIVF3v9mbK%2BdNWbv7906pTZVdTMF6568/P731VvvnAloU9c9RYUJDVrJh06JNXiFU4eY9ZVb8HBnhm3pMQz43ohTuYGAMCquCrQMIISAABWRVAyjBkEAABwgY4SAABWRUfJMGYQAADABTpKAABYFR0lwwhKAABYFUHJMGYQAADABTpKAABYFR0lw5hBAAAAF%2BgoAQBgVXSUDCMoAQBgVQQlw5hBAAAAF%2BgoAQBgVXSUDGMGAQAAXKCjBACAVdFRMoygBACAVRGUDGMGAQAAXKCjBACAVdFRMowZBAAAcIGOEgAAVkVHyTCCEgAAVkVQMowZBAAAcIGOEgAAVkVHyTBmEAAAwAU6SgAAWBUdJcMISgAAWBVByTBmEAAAwAU6SgAAWBUdJcOYQQAAABcuWFA6cOCAYmJidODAgSr7li1bpsTExAtVCgAAFwc/P898XEQu2NJbs2bNtH79ejVs2PBCPSUAABe3iyzUeMIFC0r%2B/v6KjIy8UE8HAABgmClLb9nZ2Ro9erQ6deqk/v3766effrpQZQAAcPFg6c0wU656e/DBBxUWFqalS5dq586dmjJliho0aHBOY%2BTk5Cg3N9dpW2Tr1oqKiKjNUmtfbKzzn97OZjO7gpqdrtEXakWt84V/s0/X6Au1SpKCgsyuoGYBAc5/erPSUrMrgAEX/DusqKhImzZt0hdffKHo6Ghdfvnl2rp1q1atWnVO46SmpiolJcVp2/gHH1Tygw/WZrme8957ZldgPcHBZldQI3%2BzCzhH/j5QcN26Zlfgvjp1zK7ATXWbmV2B%2B3zhlI59%2B8x7bp9J597rggeldevWKSIiQtHR0Y5tHTp0OOegNGjQoCpXykXefrv07ru1UqfHxMZWhqQhQ6TMTLOrqdnXX5tdQc1stsqQVFIi2e1mV3NWpwJDzC7Bbf7%2B0qlTZldRs8JCsyuomZ9fZUj65ReposLsampWt%2BCQ2SXULCCgMiTl5krl5WZX470ISoaZ0rO0/%2BaXWWBg4DmPERUVpaioKOeNe/YYKevCysyUNm0yu4qaeXnwcGK3%2B1a9qBW%2BEDxOq6jwkXp9aamovNy36oXPueBR84YbbtCJEye074xW5Pbt2y90GQAAWB8ncxt2wV9tcHCwunfvrsmTJyszM1Nr167V4sWLL3QZAABYH0HJMFNe7csvv6wGDRronnvu0V/%2B8hcNHTrUjDIAAADO6oKdo9S8eXPt2LHD8XWVK9bGj79QpQAAcHHw0u5PSUmJpk2bpjVr1igkJEQjR47UyJEjqxw3dOhQbdy4scr2u%2B66SzNnztSJEyfUtWtXp30RERHasGFDrdXqAzegAAAAVjJr1ixt3bpV7777rn7%2B%2BWc98cQTio6OVp8%2BfZyOmzdvnsrKyhxfZ2Rk6KGHHtKQIUMkSbt27VJERIRWrFjhOMavlsMhQQkAAKvywo5SYWGhli5dqvnz5ysuLk5xcXHauXOnlixZUiUoRZxxE%2BlTp07p5Zdf1ujRo9WhQwdJUlZWllq3bu3Rt0jzvhkEAAC1wwtP5s7MzFR5ebni4%2BMd27p06aKMjAxVnOX%2BGcuWLdOJEyc0ZswYx7Zdu3apVatWhuqpCR0lAABwTqp9G7HIyKr3N6xGbm6uGjRooKAz3iqncePGKikp0fHjx9WwYcMqj7Hb7XrrrbeUlJSkOmfc4n737t0qLy/XgAEDlJ2drYSEBE2aNMmtOtxFUAIAwKo8tPRW7duIjR%2Bv5OTkGh9bVFTkFJIkOb4udXHz0A0bNujw4cMaOHCg0/asrCw1bNhQkyZNkt1u18svv6wHHnhAS5culX8tvQcTQQkAAJyTat9GzM3zhIKDg6sEotNfh4RU/zZPq1ev1vXXX%2B90zpIkffrpp7LZbI7HvfLKK%2BrRo4cyMjLUuXNnt%2BqpCUEJAACr8lBHqdq3EXNTkyZNdOzYMZWXlysgoDKG5ObmKiQkRPXq1av2MV999VW1txEKDQ11%2BrpRo0aKiIhQdnb2edVWHU7mBgDAqrzwZO727dsrICBAmzdvdmxLS0tThw4dqr20/%2BjRo9q/f7%2B6dOnitL2goEBXXXWVvv32W8e27OxsHTt2TG3atDFU45kISgAA4IIJDQ1Vv379NHXqVG3ZskVr167VggULlJSUJKmyu1RcXOw4fufOnQoODlbz5s2dxgkPD1eXLl00c%2BZMbdmyRdu2bdPDDz%2Bs6667TjExMbVWL0EJAACr8sKOkiRNmjRJcXFxGjZsmKZNm6bk5GTdfPPNkqQePXpo5cqVjmOPHDmievXqyWazVRnnxRdf1BVXXKH7779fQ4cO1SWXXKI5c%2BYYru9MNrvdbq/VEc1UzSR6nfh4KT1d6txZ2rTJ7GpqVlhodgU1s9mkkBCpuFjy8m/nU0GhNR/kJfz9pVOnzK6iZgUFZldQMz8/qW5dKT9fOsttYrxG/eP7zC6hZkFBUrNm0qFDkosrpbxKy5bmPO8tt3hm3NWrPTOuF%2BJkbgAArMoL78ztawhKAABYFUHJMGYQAADABTpKAABYFR0lw5hBAAAAF%2BgoAQBgVXSUDCMoAQBgVQQlw5hBAAAAF%2BgoAQBgVXSUDGMGAQAAXKCjBACAVdFRMoygBACAVRGUDGMGAQAAXKCjBACAVdFRMowZBAAAcIGOEgAAVkVHyTCCEgAAVkVQMowZBAAAcIGOEgAAVkVHyTBmEAAAwAU6SgAAWBUdJcMISgAAWBVByTBmEAAAwAU6SgAAWBUdJcOsFZQKC82uoGY2W%2BWfX38t2e3m1uKOsDCzK6hZfLyUni5dc420aZPZ1ZyV/7x5ZpfgnshIadAg%2BX%2BYKuXmml3NWdUfNcrsEmpms0kKUd3AYp/4ubdf2tLsEtxik2Rv2szsMtxiM7sAnDdrBSUAAPA/dJQMIygBAGBVBCXDmEEAAAAX6CgBAGBVdJQMIygBAGBVBCXDmEEAAAAX6CgBAGBVdJQMYwYBAABcoKMEAIBV0VEyjKAEAIBVEZQMYwYBAABcoKMEAIBV0VEyjBkEAABwgY4SAABWRUfJMIISAABWRVAyjBkEAABwgaAEAIBV%2Bfl55sOgkpISTZ48WQkJCerRo4cWLFjg8tg//vGPiomJcfr44osvHPv/9re/6brrrlN8fLwmT56soqIiw/WdiaU3AABwQc2aNUtbt27Vu%2B%2B%2Bq59//llPPPGEoqOj1adPnyrH7t69W7Nnz1b37t0d2%2BrXry9JWr16tVJSUjR79mw1atRIkyZN0uzZs/XMM8/UWq0EJQAArMoLz1EqLCzU0qVLNX/%2BfMXFxSkuLk47d%2B7UkiVLqgSl0tJSHThwQB06dFBkZGSVsRYuXKhhw4bphhtukCRNmzZNo0aN0sSJExUaGlor9XrfDAIAgNrhhUtvmZmZKi8vV3x8vGNbly5dlJGRoYqKCqdjs7KyZLPZ1KJFiyrjnDp1St9//70SEhIc2zp16qSysjJlZmYaqvFMdJQAAMA5ycnJUW5urtO2yMhIRUVF1fjY3NxcNWjQQEFBQY5tjRs3VklJiY4fP66GDRs6tmdlZSk8PFyPP/64Nm7cqKZNmyo5OVk9e/bUyZMnVVJS4vScAQEBioiI0OHDh2vhVf46Zq2NBAAAvIuHlt5SU1OVkpLitG38%2BPFKTk6u8bFFRUVOIUmS4%2BvS0lKn7VlZWSouLlaPHj10//3369///rf%2B%2BMc/KjU1VY0bN3Z67Jlj/XYcIwhKAADgnAwaNEiJiYlO26o7h6g6wcHBVYLM6a9DQkKctv/pT3/S0KFDHSdvx8bGatu2bfrggw/08MMPOz32zLFq6/wkiaAEAIB1eaijFBUV5dYyW3WaNGmiY8eOqby8XAEBlTEkNzdXISEhqlevntOxfn5%2BjpB0Wps2bbRr1y5FREQoODhYeXl5atu2rSSpvLxcx48fdzu0uYOTuQEAsCovPJm7ffv2CggI0ObNmx3b0tLS1KFDB/n9Zuwnn3xSkyZNctqWmZmpNm3ayM/PTx06dFBaWppj3%2BbNmxUQEKDY2FhDNZ6JoAQAAC6Y0NBQ9evXT1OnTtWWLVu0du1aLViwQElJSZIqu0vFxcWSpMTERH3yySdavny59u3bp5SUFKWlpem%2B%2B%2B6TJA0ZMkRvv/221q5dqy1btmjq1KkaOHAgS28AAMANXngfJUmaNGmSpk6dqmHDhik8PFzJycm6%2BeabJUk9evTQzJkzddddd%2Bnmm2/Ws88%2Bq9dee00///yzLr/8cr311ltq3ry5JOn3v/%2B9Dh48qGeeeUalpaW6%2BeabNXHixFqt1Wa32%2B21OqKZavm25R5hs0khIVJxseQLUx8WZnYFNYuPl9LTpc6dpU2bzK7m7ObNM7sC90RGSoMGSamp0m8uAfY6o0aZXUHNfOzn3h5Se/8b9ySbzSemU1JlraaYOdMz4/5mOczK6CgBAGBVXtpR8iUEJQAArIqgZBgzCAAA4AIdJQAArIqOkmHMIAAAgAt0lAAAsCo6SoYRlAAAsCqCkmHMIAAAgAt0lAAAsCo6SoZ5bAYPHDigmJgYHThwoMZjv/nmG%2B3evdtTpQAAAJwXr4iaw4cPV15entllAABgLX5%2Bnvm4iLD0BgCAVV1kocYTLsgM7tq1S6NGjVJ8fLw6dOigIUOGOJbaEhMTJUlJSUma5ytvGAoAAC4KHu8o2e12PfDAA7rmmmv07LPPKj8/X88995xmz56t119/XR9%2B%2BKG6d%2B%2BuefPm6dprr3V73JycHOX%2B5l3NI%2BvVU1RkZG2/hNp1%2Bi2kTXsr6XMUH292BTWLjXX%2B05t5%2B/fnaQ0aOP/pzXzhZ8nXfu5hHXSUDPN4UCouLtY999yjIUOGKCwsTJLUv39/vfXWW5Kkhg0bSpLq16%2BvOnXquD1uamqqUlJSnLaNHzdOyRMm1FLlHhYcbHYF7klPN7sC9733ntkVWM/NN5tdgbX4yM%2B9L8U5X8iedrvZFcAIjwel0NBQDR48WMuXL9fWrVuVlZWlH374QY0bNzY07qBBgxzLdqdF1qsnFRcbGtfjbLbKfyxLSnzjp%2Beaa8yuoGaxsZUhacgQKTPT7GrO7oknzK7APQ0aVIakNWukY8fMrubs7rzT7Apq5mM/9/bgELNLcIvN5hPTaS46SoZ5PCgVFhZqzJgxatCggRITE3XbbbcpKytLCxYsMDRuVFSUoqKinDcWFfnOT43d7hu1btpkdgXuy8z0/np/s1zs9Y4d8/6afeHn6DRf%2BbmHdRCUDPN4UNq4caNycnL0ySefKCCg8unWr18vO/9YAAAAL%2BfxqBkXF6fCwkKtXbtWBw4c0NKlS7VkyRKVlpY6jgkLC9POnTuVn5/v6XIAALh4cB8lwzz%2BaiMjIzVu3DhNmzZNd9xxh5YtW6ZnnnlGR44cUXZ2tiRp6NChmjVrFrcHAAAAXsVmt9IaWFGR2RXUzGaTQkIqTzr3han/9UpFrxYfX3l1XufO3n%2BOkq/8ZyAyUho0SEpN9f5zlEaNMruCmvnYz709JNTsEtziSydzm3Z13rvvembcYcM8M64X4s7cAABY1UW2TOYJzCAAAIALdJQAALAqOkqGEZQAALAqgpJhzCAAAIALdJQAALAqOkqGMYMAAAAu0FECAMCq6CgZRlACAMCqCEqGMYMAAAAu0FECAMCq6CgZxgwCAAC4QEcJAACroqNkGEEJAACrIigZxgwCAAC4QEcJAACroqNkGDMIAADgAh0lAACsio6SYQQlAACsiqBkGDMIAADgAkEJAACr8vPzzIdBJSUlmjx5shISEtSjRw8tWLDA5bH/%2Bc9/dOeddyo%2BPl633367PvvsM6f9CQkJiomJcfr45ZdfDNd4GktvAADggpo1a5a2bt2qd999Vz///LOeeOIJRUdHq0%2BfPk7HZWZmavz48Xr88cfVs2dPrV%2B/Xg8%2B%2BKA%2B/PBDxcbGKjs7W/n5%2BVq7dq1CQkIcjwsLC6u1WglKAABYlReeo1RYWKilS5dq/vz5iouLU1xcnHbu3KklS5ZUCUorVqzQ1VdfraSkJElSy5Yt9fnnn%2Btf//qXYmNjtXv3bkVGRqpFixYeq5egBACAVXkoKOXk5Cg3N9dpW2RkpKKiomp8bGZmpsrLyxUfH%2B/Y1qVLF73%2B%2BuuqqKiQ3xk19%2B/fX2VlZVXGyM/PlyTt2rVLrVu3Pt%2BX4RaCEgAAOCepqalKSUlx2jZ%2B/HglJyfX%2BNjc3Fw1aNBAQUFBjm2NGzdWSUmJjh8/roYNGzq2t23b1umxO3fu1DfffKN77rlHkrR7924VFRVp6NCh2rNnj9q3b6/JkyfXangiKAE4Xss7AAAgAElEQVQAYFUe6igNGjRIiYmJTtsiIyPdemxRUZFTSJLk%2BLq0tNTl444ePark5GR17txZN954oyQpKytLJ06c0COPPKLw8HDNnz9fw4cP16effqrw8PBzeUkuEZQAAMA5iYqKcmuZrTrBwcFVAtHpr888IftMeXl5GjFihOx2u1555RXH8tzbb7%2BtsrIy1alTR5I0Z84c9ezZU1988YVuv/3286rvtwhKAABYlReezN2kSRMdO3ZM5eXlCgiojCG5ubkKCQlRvXr1qhyfnZ3tOJl74cKFTktzQUFBTt2p4OBgNW/eXNnZ2bVWr/fNIAAAqB1eeB%2Bl9u3bKyAgQJs3b3ZsS0tLU4cOHZxO5JYqr5AbPXq0/Pz8tHjxYjVp0sSxz263q3fv3lq2bJnT8fv27VObNm0M1XgmOkoAAOCCCQ0NVb9%2B/TR16lT9%2Bc9/Vk5OjhYsWKCZM2dKquwu1a1bVyEhIXrjjTf0008/adGiRY59UuUSXd26ddWrVy/NmzdPl1xyiRo2bKi5c%2BeqadOm6tmzZ63VS1ACAMCqvHDpTZImTZqkqVOnatiwYQoPD1dycrJuvvlmSVKPHj00c%2BZM3XXXXVq9erWKi4t19913Oz2%2Bf//%2BeuGFFzRx4kQFBATo0UcfVUFBga6%2B%2Bmq9%2Beab8vf3r7VabXa73V5ro5mtqMjsCmpms0khIVJxseQLU1%2BLdzf1mPh4KT1d6txZ2rTJ7GrObt48sytwT2SkNGiQlJoq/eZeKV5n1CizK6iZj/3c20NCzS7BLTabT0ynpMpaTfHNN54Zt3t3z4zrhegoAQBgVV7aUfIlBCUAAKyKoGSYpZbeTp0yuwL3%2BPv7UK2vpdR8kNl8aZnIjbvWegUfWs4sKvT%2Bf8J8bOVNoeI0hloXatJy5nffeWbcq67yzLheiI4SAABWRUfJMGYQAADABTpKAABYFR0lwwhKAABYFUHJMGYQAADABTpKAABYFR0lw5hBAAAAF%2BgoAQBgVXSUDCMoAQBgVQQlw5hBAAAAF%2BgoAQBgVXSUDCMoAQBgVQQlw5hBAAAAF%2BgoAQBgVXSUDGMGAQAAXKCjBACAVdFRMoygBACAVRGUDGMGAQAAXKCjBACAVdFRMowZBAAAcIGOEgAAVkVHyTCCEgAAVkVQMowZBAAAcIGOEgAAVkVHyTBmEAAAwAU6SgAAWBUdJcMISgAAWBVByTBmEAAAwAU6SgAAWBUdJcOYQQAAABfoKAEAYFV0lAwjKAEAYFUEJcOYQQAAABfoKAEAYFV0lAxjBgEAAFygowQAgFXRUTKMoAQAgFURlAxjBgEAAFyo1aB04MABxcTE6MCBA7U5LAAAOB9%2Bfp75MKikpESTJ09WQkKCevTooQULFrg89ocfftDdd9%2Btjh076g9/%2BIO2bt3qtH/FihXq3bu3OnbsqHHjxuno0aOG6zsTHSUAAHBBzZo1S1u3btW7776rZ599VikpKVq1alWV4woLC3X//fcrISFBy5YtU3x8vMaOHavCwkJJ0pYtWzRlyhSNHz9eqampOnnypCZNmlSrtRKUAACwKi/sKBUWFmrp0qWaMmWK4uLidNNNN2n06NFasmRJlWNXrlyp4OBgPf7442rbtq2mTJmiOnXqOELV4sWL1bdvX/Xr10%2BxsbGaNWuW1q1bp/379xuq8UweO5k7JiZGs2bN0vz587V3715deeWVevHFF9WiRQtJ0tatW/Xcc88pMzNTV1xxhbp3767//ve/WrRokVvj5%2BTkKDc312lbo0aRioyMqvXXclGLjDS7gpo1aOD8pzeLjze7AvfExjr/6cVsNrMrqNnpGn2h1ko%2BUKgvTardbt5ze%2Bhk7up%2BB0dGRioqqubfwZmZmSovL1f8Gf8edunSRa%2B//roqKirkd0bNGRkZ6tKli2y//j3bbDZ17txZmzdv1l133aWMjAyNGTPGcXyzZs0UHR2tjIwMR94wyqNXvc2bN0/Tp09Xo0aN9OCDD%2Bqvf/2rXnrpJeXn52v06NHq27evXnjhBX399deaOXOmOnfu7PbYqampSklJcdo2btx4TZiQXNsvwyP8/c2uwE2DBpldgftuvtnsCmrmS/MpSe%2B9Z3YFNQoxu4BzEBxsdgXu8qFZ9YVJLSoyu4JaV93v4PHjxys5uebfwbm5uWrQoIGCgoIc2xo3bqySkhIdP35cDRs2dDr2sssuc3p8o0aNtHPnTkmVge234axRo0Y6fPjwOb8mVzwalEaMGKHu3btLkgYPHuxoq61cuVJhYWF66qmn5O/vrzZt2ig9Pb1KOj2bQYMGKTEx0Wlbo0aROnWq9ur3FH9/%2BUSdkuT/YarZJdSsQYPKkLRmjXTsmNnVnN2LL5pdgXtiYytD0pAhUmam2dWcVfHX6WaXUCObrfL3eUmJuc0Fd4Wo2OwSauZrk2oSu4e6g9X9Do50cwWiqKjIKSRJcnxdWlrq1rGnjysuLj7r/trg0aDUsmVLx%2Bfh4eEqKyuTJO3YsUNxcXHyP6Ot0qlTJ/373/92e%2ByoqKgqKdJXwodPOYfwarpjx7y/3k2bzK7g3GRmen3NvvQ70m73lXp9oshKvjOpllLd72B3BQcHVwkyp78OCQlx69jTx7naHxoael61VcejQSkwMLDa7f7%2B/rL/5hv7t18DAABjKio8M66R00eaNGmiY8eOqby8XAEBlTEkNzdXISEhqlevXpVj8/LynLbl5eU5Qpqr/e52t9xhylVvl19%2BubZv366KM/4Gt23bZkYpAABYVkWFZz6MaN%2B%2BvQICArR582bHtrS0NHXo0MHpRG5J6tixozZt2uRoptjtdqWnp6tjx46O/WlpaY7jDx06pEOHDjn21wZTgtLvf/97FRQUaObMmdqzZ48%2B%2BOADrVy50oxSAADABRQaGqp%2B/fpp6tSp2rJli9auXasFCxYoKSlJUmV3qbi48jy5Pn366OTJk5oxY4Z27dqlGTNmqKioSH379pVUef7zxx9/rKVLlyozM1OPP/64evXqVWtXvEkmBaU6dero9ddf13fffafbb79d//jHP3T77bdXOSELAACcP2/sKEnSpEmTFBcXp2HDhmnatGlKTk7Wzb9eudyjRw9H8yQ8PFxvvPGG0tLSHLcDePPNNxUWFiZJio%2BP13PPPadXX31VgwcPVv369TVz5kzjBZ7BZjfh5KD9%2B/crOztbCQkJjm3Tpk1TUVGRXnjhhfMe11dO5vapq95eS6n5ILNFRlZedp%2Ba6v0nc7tx6axXiI%2BX0tOlzp29/mTuokLvP7/RZpNCQqTiYt847zhUPnA5u89Nau2dXHwuSko8M64v3JWhtpjSUSooKNCIESO0atUqHTx4UGvWrNHHH3%2BsPn36mFEOAACW5K0dJV/i0aveXGnfvr2eeeYZ/eUvf9GhQ4cUHR2tSZMmqVevXmaUAwCAJV1socYTTAlKknT33Xfr7rvvNuvpAQAAamRaUAIAAJ5FR8k4ghIAABZFUDLOlJO5AQAAfAEdJQAALIqOknF0lAAAAFygowQAgEXRUTKOoAQAgEURlIxj6Q0AAMAFOkoAAFgUHSXj6CgBAAC4QEcJAACLoqNkHEEJAACLIigZx9IbAACAC3SUAACwKDpKxtFRAgAAcIGOEgAAFkVHyTiCEgAAFkVQMo6lNwAAABfoKAEAYFF0lIyjowQAAOACHSUAACyKjpJxBCUAACyKoGQcS28AAAAu0FECAMCi6CgZR0cJAADABTpKAABYFB0l4whKAABYFEHJOJbeAAAAXKCjBACARdFRMo6OEgAAgAt0lAAAsCg6SsbZ7Ha73ewiasuJE2ZXUDM/P6luXSk/3ze%2BgesHFZldQs1sNikkRCoulrz827lIoWaX4BYfmlKFhtnMLqFm8fFSerrUubO0aZPZ1dSorNTL/9J/FRgolZWZXYV7AgPNed60NM%2BM26WLZ8b1Riy9AQAAuMDSGwAAFuULKxfejo4SAACAC3SUAACwKDpKxhGUAACwKIKScSy9AQAAuEBQAgDAoioqPPPhSXa7XXPmzNHVV1%2Btrl27atasWao4y5Nu3rxZ99xzj%2BLj43XLLbdo6dKlTvvvuOMOxcTEOH38%2BOOPbtfD0hsAAPAa77zzjlasWKGUlBSVl5dr4sSJatSokUaNGlXl2NzcXI0ZM0aDBw/WCy%2B8oG3btmnSpEmKjIxUr169dOrUKe3du1eLFy9Wq1atHI9r0KCB2/UQlAAAsChfPEdp4cKFmjBhghISEiRJjz32mObOnVttUFq7dq0aN26sRx55RJLUqlUrbdiwQZ988ol69eqlAwcOqKysTFdeeaWCg4PPqx6CEgAAFuWpoJSTk6Pc3FynbZGRkYqKijI0bnZ2tg4dOqSrrrrKsa1Lly46ePCgcnJyqox/3XXXqX379lXGKSgokCTt2rVLzZo1O%2B%2BQJHGOEgAAOEepqam66667nD5SU1MNj3s6fJ0ZiBo3bixJOnz4cJXjmzdvrk6dOjm%2BPnLkiD799FN1795dkrR7924FBgZq7Nixuvbaa3Xfffdpy5Yt51QTHSUAACzKUx2lQYMGKTEx0WlbZGSkW48tLi5WdnZ2tfsKCwslSUFBQY5tpz8vLS2tcdzk5GQ1btxYgwYNkiTt2bNHJ06c0N13360JEybogw8%2B0LBhw7Ry5Uo1a9bMrXoJSgAA4JxERUWd9zJbRkaGkpKSqt03ceJESZWh6PRy2emAFBrq%2Bk3Ff/nlF/3pT3/S3r179d577zmOnT59uoqLixUeHi5Jmjp1qtLT0/Xxxx/rgQcecKteghIAABbljSdzd%2BvWTTt27Kh2X3Z2tmbPnq3c3Fw1b95c0v%2BW41x1rAoKCjR69Gj99NNPevfdd52ubgsICHCEJEmy2Wxq06aNy45WdThHCQAAi/K1%2Byg1adJE0dHRSktLc2xLS0tTdHR0tR2siooKjR8/XgcOHNCiRYt0%2BeWXO%2B0fOnSoUlJSnI7fsWOH2rRp43ZNdJQAAIDXGDx4sObMmaOmTZtKkl566SWNHDnSsf/o0aMKDg5WnTp19OGHH2rDhg167bXXVK9ePUf3KTAwUBEREUpMTNSrr76q9u3bq3Xr1lq4cKHy8/PVv39/t%2BshKAEAYFHeuPRWk1GjRunIkSMaP368/P39NWDAAA0fPtyxf8CAAerfv7%2BSk5O1evVqVVRUaOzYsU5jdO3aVYsWLdLw4cNVUlKi559/Xnl5eerYsaPeeecdp%2BW4mtjsdru9tl6c2U6cMLuCmvn5SXXrSvn5vvENXD%2BoyOwSamazSSEhUnGx5OXfzkVyfTKiN/GhKVVomM3sEmoWHy%2Blp0udO0ubNpldTY3KSr38L/1XgYFSWZnZVbgnMNCc5/3Xvzwzbt%2B%2BnhnXG3GOEgAAgAssvQEAYFG%2BsHLh7egoAQAAuEBHCQAAi6KjZBxBCQAAiyIoGcfSGwAAgAt0lAAAsCg6SsbRUQIAAHCBjhIAABZFR8k4ghIAABZFUDKOpTcAAAAX6CgBAGBRdJSMo6MEAADgAh0lAAAsio6ScQQlAAAsiqBkHEtvAAAALtBRAgDAougoGUdHCQAAwAU6SgAAWBQdJeMMdZS2b9%2Bu9PR0QwXY7XYtWbLE0BgAAKCqigrPfFxMDAWlcePGae/evYYK%2BO677/Tcc88ZGgMAAMATTF96s9vtZpcAAIAlXWzdH084747S0KFDdfDgQU2aNElPPvmkfvzxRw0dOlRXXnmlbrnlFsdymt1u13333aekpCTHY1955RX16tVLO3bscGyPiYnRhg0bDL4cAACA2nPeHaV58%2Bbpzjvv1MiRI3XXXXfptttuU//%2B/TV9%2BnRlZWXp6aefVp06ddSvXz9NmzZN/fr10%2BrVq9W2bVu9%2Beabeu2113TZZZdp3rx5Sk5O1vr161W/fn23nz8nJ0e5ublO20JDIxUZGXW%2BL%2BmC8PNz/tPr2WxmV1Cz0zX6QK3eX2ElH5pSKT7e7ApqFhvr/CdwgdBRMu68g1JERIT8/f1Vt25drVq1So0aNdJDDz0kSWrVqpUOHjyohQsXql%2B/fmrbtq3Gjh2rWbNmqXHjxrrjjjt03XXXSZIjHEVGRp7T86empiolJcVp27hx4zVhQvL5vqQLqk4dsytwV4jZBbgvONjsCmrkQ7MpySemVDJ4QckF9d57ZlfglkCzCzgHgT5QbFmZec9NUDKuVs5RysrKUmZmpuLP%2BJ/dqVOn5O/v7/j6/vvv1yeffKI9e/borbfeMvycgwYNUmJiotO20NBI5ecbHtqj/PwqQ9Ivv/jGN3DdwGKzS6iZzVb5G72kRPLyc96KfSQq%2BdCUKuSazmaXULPY2MqQNGSIlJlpdjU1KtvgG%2BEzMNDcEIKLQ60EpfLycnXv3l3PPPOMy2OOHj2q3NxclZSUaPv27eratauh54yKilJUlPMy24kTvhE%2BJB%2B6xNLbf0ueyW73%2Bnq9u7qqfGBKpU2bzK7AfZmZvlUvfJ5P/J7xcrVypkzr1q21Z88eNW/eXC1btlTLli21efNmLVq0yHHM9OnT1bVrV40ePVpPP/20SktLJUk2nzgJAgAAXIwMBaWwsDBlZWWpZ8%2BeKi4u1jPPPKPdu3dr3bp1mjFjhho1aiRJWrNmjb766itNmTJFY8eOVUlJiV599VVJUmhoqCRp69atKikpMfhyAADAadxw0jhDQWnw4MFasmSJZs6cqfnz52vv3r3q16%2BfnnrqKd17770aO3asCgoKNH36dI0ZM0YtWrRQWFiYnnzySb399tv68ccfFRMTo2uvvVb33HOP1q1bV1uvCwCAix5ByTib3UJ3fDxxwuwKaubnJ9WtK%2BXn%2B8Y3W/2gIrNLqJnNJoWESMXFXn9CTZFCzS7BLT40pQoN84Hl%2B/j4yqvzOnf2iXOUykq9/C/9V750MrdZV%2BfNm%2BeZcZN94wLzWmH6nbkBAIBn%2BMJ/yL2dr9z2EAAA4IKjowQAgEXRUTKOoAQAgEURlIxj6Q0AAMAFOkoAAFgUHSXj6CgBAAC4QEcJAACLoqNkHEEJAACLIigZx9IbAADwGna7XXPmzNHVV1%2Btrl27atasWao4S%2BJ7/vnnFRMT4/SxePFix/4VK1aod%2B/e6tixo8aNG6ejR4%2BeUz10lAAAsChf7Ci98847WrFihVJSUlReXq6JEyeqUaNGGjVqVLXH7969W48%2B%2Bqj69%2B/v2BYeHi5J2rJli6ZMmaJp06YpNjZWM2bM0KRJk/TGG2%2B4XQ8dJQAALMoX3xR34cKFmjBhghISEnT11Vfrscce05IlS1wev3v3bl1xxRWKjIx0fISGVr6v5uLFi9W3b1/169dPsbGxmjVrltatW6f9%2B/e7XQ9BCQAAeIXs7GwdOnRIV111lWNbly5ddPDgQeXk5FQ5vqCgQNnZ2WrVqlW142VkZCghIcHxdbNmzRQdHa2MjAy3a2LpDQAAi/JU9ycnJ0e5ublO2yIjIxUVFWVo3NNjnjlO48aNJUmHDx%2BuMv7u3btls9n0%2Buuv68svv1RERIRGjBjhWIbLycmp8phGjRrp8OHDbtdEUAIAAOckNTVVKSkpTtvGjx%2Bv5OTkGh9bXFys7OzsavcVFhZKkoKCghzbTn9eWlpa5fisrCzZbDa1adNG9913n7777js9/fTTCg8P10033aTi4mKnsU6PV91YrhCUAACwKE91lAYNGqTExESnbZGRkW49NiMjQ0lJSdXumzhxoqTKUBQcHOz4XJLjvKMz9evXTzfccIMiIiIkSbGxsdq7d6/%2B/ve/66abblJwcHCVUFRaWlrtWK4QlAAAsChPBaWoqKjzXmbr1q2bduzYUe2%2B7OxszZ49W7m5uWrevLmk/y3HVRfEbDabIySd1qZNG3377beSpCZNmigvL89pf15entuhTuJkbgAA4CWaNGmi6OhopaWlObalpaUpOjq62mA2d%2B5cDR8%2B3GlbZmam2rRpI0nq2LGj01iHDh3SoUOH1LFjR7droqMEAIBF%2BeJ9lAYPHqw5c%2BaoadOmkqSXXnpJI0eOdOw/evSogoODVadOHd1www1688039fbbb%2Bumm27S%2BvXrtXz5ci1cuNAx1tChQ9WpUyd16NBBM2bMUK9evdSiRQu36yEoAQAArzFq1CgdOXJE48ePl7%2B/vwYMGODUNRowYID69%2B%2Bv5ORkXXnllZo7d65eeeUVzZ07V5dccoleeuklxcfHS5Li4%2BP13HPP6ZVXXtGJEyd07bXXavr06edUj81ut9tr8wWa6cQJsyuomZ%2BfVLeulJ/vG0m/flCR2SXUzGaTQkKk4mLJy7%2Bdi%2BT%2BCYRm8qEpVWiYzewSahYfL6WnS507S5s2mV1NjcpKvfwv/VeBgVJZmdlVuCcw0JznnTTJM%2BPOnOmZcb0RHSUAACzKF/5D7u04mRsAAMAFOkoAAFgUHSXj6CgBAAC4QEcJAACLoqNkHEEJAACLIigZx9IbAACAC3SUAACwKDpKxtFRAgAAcIGOEgAAFkVHyTiCEgAAFkVQMo6lNwAAABfoKAEAYFF0lIyjowQAAOCCpTpK9Y/vM7uEmgUFSXWbqW7BIam01OxqamS/tKXZJbjFJskeHGJ2GTUKLS4yuwQ32SSFKETFkuxmF3NWZaXeXd9pgZLKNqSbXYZbAoNsZpdQs/h4KT1dgd06S5s2mV1NzezmfJ/SUTLOUkEJAAD8D0HJOJbeAAAAXKCjBACARdFRMo6OEgAAgAt0lAAAsCg6SsYRlAAAsCiCknEsvQEAALhARwkAAIuio2QcHSUAAAAX6CgBAGBRdJSMIygBAGBRBCXjWHoDAABwgY4SAAAWRUfJODpKAAAALtBRAgDAougoGUdQAgDAoghKxrH0BgAA4AIdJQAALIqOknEEJQAALIqgZBxLbwAAAC7QUQIAwKLoKBlHRwkAAMAFOkoAAFgUHSXjCEoAAFgUQck4lt4AAABcoKMEAIBF0VEyjqAEAAC8ht1u10svvaQPP/xQFRUVGjBggB577DH5%2BVVdBHvyySf1j3/8o8r2bt26aeHChZKkhIQE5efnO%2B1PT09XnTp13KqHoAQAgEX5YkfpnXfe0YoVK5SSkqLy8nJNnDhRjRo10qhRo6ocO2XKFD366KOOrw8ePKihQ4cqKSlJkpSdna38/HytXbtWISEhjuPCwsLcroegBACARfliUFq4cKEmTJighIQESdJjjz2muXPnVhuU6tatq7p16zq%2BfvLJJ9WnTx/17t1bkrR7925FRkaqRYsW510PQQkAAHiF7OxsHTp0SFdddZVjW5cuXXTw4EHl5OQoKirK5WO/%2BeYbfffdd1q9erVj265du9S6dWtDNRGUAACwKE91lHJycpSbm%2Bu0LTIy8qxBxh2nxzxznMaNG0uSDh8%2BfNbx33zzTfXv31/NmjVzbNu9e7eKioo0dOhQ7dmzR%2B3bt9fkyZPPKTwRlAAAwDlJTU1VSkqK07bx48crOTm5xscWFxcrOzu72n2FhYWSpKCgIMe205%2BXlpa6HHP//v369ttvNWXKFKftWVlZOnHihB555BGFh4dr/vz5Gj58uD799FOFh4fXWKtEUAIAwLI81VEaNGiQEhMTnbZFRka69diMjAzHyda/NXHiREmVoSg4ONjxuSSFhoa6HHP16tVq3769LrvsMqftb7/9tsrKyhxXuM2ZM0c9e/bUF198odtvv92teglKAABYlKeCUlRU1Hkvs3Xr1k07duyodl92drZmz56t3NxcNW/eXNL/luPOFsS%2B%2Buor3XjjjVW2BwUFOXWngoOD1bx5c5cdrepwZ24AAOAVmjRpoujoaKWlpTm2paWlKTo62mUws9vt%2Bv7779W5c%2Bcq23v37q1ly5Y5thUWFmrfvn1q06aN2zXRUQIAwKJ88fYAgwcP1pw5c9S0aVNJ0ksvvaSRI0c69h89elTBwcGO5bSDBw/ql19%2BqbLsZrPZ1KtXL82bN0%2BXXHKJGjZsqLlz56pp06bq2bOn2/UQlAAAgNcYNWqUjhw5ovHjx8vf318DBgzQ8OHDHfsHDBig/v37O04cP3LkiCSpfv36VcaaOHGiAgIC9Oijj6qgoEBXX3213nzzTfn7%2B7tdj81ut9vdPXj79u0qKiqq0t7yGvv2mV1BzYKCpGbNpEOHpLOcwe8t7Je2NLsEt9hskvvfyeaxFReZXYJ7bDYpJEQqLvb6iS0LcH2CpzcJDJTKysyuwj2BQTazS6hZfLyUni517ixt2mR2NTUz6eeoe3fPjPvNN54Z1xud0zlK48aN0969ez1UCgAAqE0VFZ75uJhwMjcAAIALbgeloUOH6uDBg5o0aZJGjBih559/3mn/Aw88oL/%2B9a/asGGDrr/%2Bei1cuFDdunXTNddco9dee83p2Pfff1%2BJiYmKj4/X0KFDXV4mCAAAzh8dJePcPpl73rx5uvPOOx1nnr/99tuaMmWKbDab8vPztX79ej366KM6evSojhw5ouXLl2vBggU6dOiQnnjiCTVq1EgDBw7U559/rpSUFE2fPl2tW7fW8uXLlZSUpDVr1lR7IpYr1d4%2B/dQpRbl5wyvTBAQ4/4mLi80Hzv2Q/lenr9SL2hUfb3YFNYuNdf7Tm/nCOVRwye3f1hEREfL391fdunXVu3dvzZ49W%2Bnp6erSpYvWrl2r1q1b6/LLL9eGDRtUXl6uP//5z4qNjVVcXJyGDRum999/XwMHDtRbb72lsWPH6oYbbpAkPfTQQ/ryyy/1z3/%2BU0OHDnW78Gpvnz5unJInTHB7DFN5e6D7lS/9mvSJ3%2BkhIWZXcG5%2BvTOuNws0u4BzEOgrxaanm12B%2B957z%2BwKambiP04XW/fHE86rrVGvXj1df/31WrVqlbp06aJ//etfuvXWWx37w8LCFHtGyv/d736nBQsWSKp8g7rZs2frL3/5i2N/SUnJOZ8kXu3t00%2BdqryazJsFBFSGpNxcqbzc7GpqZG/arOaDvIDPXPVWUmx2Ce6x2SpDUkmJ109smb9vhE%2Bfuuqtm5de2Xym2H9fZvIAAA//SURBVNjKkDRkiJSZaXY1XougZNx5r//cdtttevHFF5WcnKyvv/5aTz311P8G/c2yUkVFhWy/JupTp05p8uTJ6v6baxbdfXO606q9ffq%2BfT5xyb2kypDkK7Wi9nh56KjCbve9mmGcLy0VZWb6Vr3wOed91VtiYqJOnjypt99%2BWzExMbr00ksd%2B06ePKkDBw44vv7%2B%2B%2B8VExMjSWrdurUOHz6sli1bOj5ef/11bd682cDLAAAAv8XJ3MadU1AKCwtTVlaWjh8/rpCQEN14441655139Pvf/77KsU8//bR%2B/PFHrV69WosWLdK9994rSRoxYoTeffddLV%2B%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%2BgoAQBgUXSUjCMoAQBgUQQl41h6AwAAcIGOEgAAFkVHyTg6SgAAwOvY7XaNHDlSy5YtO%2Btx%2B/fv1/Dhw9WpUyfdeuutWr9%2BvdP%2Br7/%2BWrfd9v/bu/%2BYqqv/D%2BDPS4JcFE0IiBJMSAOCyKEwkAldmg2uK3%2B0IZmgFkH82momY4ErR0DhHANsxgcsHLIIGEaxEYGTFkE6BCRAAaH4VfwMEgT5dT9/fOb9inDz4hd4%2B748H5sbnvNGnh4v%2BHqfc%2B5574K9vT18fX3R3t4%2BrxwslIiIiDTU9PTi/Fr83NOIjo5GWVnZv16nUCgQHByMJ554Arm5uXjttdcQEhKCrq4uAEBXVxeCg4Oxd%2B9e5OTkwMDAAEFBQVAoFGpn4dIbERGRhhLj0lt3dzeOHj2Kjo4OrFmz5l%2BvraioQHt7O77%2B%2Bmvo6enB0tIS5eXlyM3NRWhoKLKzs2Fra4sjR44AAGJjY7F9%2B3ZcvnwZTk5OauXhjBIRERE9Murq6mBqaorc3Fzo6%2Bv/67U1NTWwsbGBnp6ess3BwQHV1dXK/q1btyr7pFIpnn/%2BeWW/OjijREREpKEWa0app6cHvb29M9qMjIxgbGz8//6zZTIZZDKZWtf29vbO%2BpqGhob466%2B/1OpXh2YVShs2CJ3ggXp6epCVlARvb28YiyCvROgAaujp6UFWVtb/xnQBvkkXlVQqdAK19PT0IOs//xHFmGoLHUANonqNAsA89m8IRfmztLBQHGMqkMX6p0xKykJycvKMtpCQEISGhj7wc8fGxtDd3T1nn5GR0YzZoQcZHR2Fjo7OjDYdHR2Mj4%2Br1a8OzSqURKC3txfJycmQyWT85l4gHNOFxzFdWBzPhccxFZa3t/esWR8jIyO1Prempga%2Bvr5z9p0%2BfRovv/yy2jlWrlyJwcHBGW3j4%2BPQ1dVV9t9fFI2Pjz9w79O9WCgRERHRvBgbGz90gerk5IQbN24sSA4TExM0NzfPaOvr61NmMzExQV9f36x%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%2B8HAPj6%2BiIpKWnWgw0bGxsRHx%2BP6upqISKK1sGDB%2Bd8vUokEmhra8PIyAienp7YsWOHAOnEydraGmVlZTAwMJjRXldXBx8fH1y7dk2gZOJ169Yt5Ofno7W1FUFBQaipqYGlpSXMzc2FjkYabIXQATRVaGio8uO2tjakp6fDx8cHdnZ20NbWRn19PTIyMuDn5ydgSnHp6enBoUOHlL8PCQmZdY1UKuWYPoRt27YhJSUFr7zyCl588UUoFArU1dWhoKAAr776KnR1dfH%2B%2B%2B8jIiIC%2B/btEzruIyszMxMnTpyARCKBQqHA9u3b57zOxcVliZOJX2NjI/z8/GBqaqr8uKioCIWFhfjiiy/g6OgodETSUJxRWgJ79%2B6Fv78/PD09Z7QXFxcjISEB33//vUDJxEsmkyEnJ2fW3To9HB8fH%2BzatQsHDhyY0f7NN9/g22%2B/xfnz51FUVIRTp06hsLBQoJTicOXKFUxPT8PPz2/WrKdEIoFUKsXmzZuho6MjYErx8fX1xdatWxEWFoYtW7YgPz8fZmZmiI%2BPx6%2B//oqcnByhI5KG4ozSEmhtbcXmzZtntZuZmaGzs1OAROJ38eJFlX09PT0wNjZewjTiV19fj9jY2Fntjo6OiI6OBgDY2trizz//XOpoorNt2zYAQH5%2BPjZt2jTnkmZzczOeffbZpY4marW1tcrX4r3279%2BP8%2BfPC5CIlgtu5l4CDg4OiImJQXd3t7Ktvb0d0dHRcHV1FTCZeLW0tCAoKAg7d%2B6Eh4cHPDw8IJPJ4OrqCnd3d6HjiY6VlRUyMjJw/wRzZmam8j/02tpaPPnkk0LEE6XAwECUl5fPaJuYmEBCQgL27NkjUCrxMjAwQGtr66z2q1evwtDQUIBEtFxwRmkJxMTEICwsDG5ubnj88cehUCgwNDQEZ2fnOe%2BQ6MGioqIwNTWFt956CzExMTh27Bg6OzuRmZmJTz75ROh4ohMVFQV/f39cunQJNjY2AICGhgYMDw/jzJkzqKysxAcffIDjx48LnFQ8du/ejYCAAOzevRvh4eG4fv06IiMjcefOHZw8eVLoeKLj7%2B%2BPyMhIBAYGQqFQoKKiAnl5eUhPT8d7770ndDzSYNyjtEi6urpgamoKiUSCrq4uAMDt27dRWloKiUQCd3d36OrqAgCeeuopIaOK0gsvvICsrCxYW1vDx8cHYWFhcHZ2RnZ2Ni5cuMCp%2BIcwPDyMgoICNDY24rHHHsOmTZsgl8uhp6eHjo4ODA8Pw8rKSuiYotLc3IzIyEi0trZiZGQEb7/9NgICAiCVSoWOJkoXL15EWloabt68iampKWzcuBGHDh2Cl5eX0NFIg3FGaZHIZDKUlZXB0NBwxlEBd%2BvS%2BPh4KBQKSCQSNDQ0CBlVlFasWAF9fX0AgIWFBRoaGuDs7AwXFxd8%2BumnAqcTp9WrV8Pb23vOvvXr1y9xGs3Q2tqKvr4%2BrFu3DpOTk7hx4wYGBgbw9NNPCx1NlGQyGWQymdAxaJlhobRISkpKlO/I4jlJC2/Lli1IS0tDeHg4bG1tUVBQgMOHD%2BO3337DypUrhY4nOp2dnUhISEBtbS0mJydn7VXia3j%2B/Pz8UF1djYCAAPj7%2B2NgYAAnTpyAXC6Hv78/goODhY4oOtnZ2cjKysLNmzehpaWF5557Dm%2B%2B%2BSZnlGhRsVBaJPfeMfLuceFFRETg3XffhZmZGfbv349z587B0dERt2/fRlBQkNDxROfYsWP4%2B%2B%2B/ceDAAaxevVroOBphenoaeXl5sLCwAACYmJjg9OnTKCoqQnR0NAuleTpz5gxSU1Ph5%2BeH4OBgTE1Noba2FlFRURgcHMQbb7whdETSUNyjRKJxd6/XXdPT07hz5w6kUilGRkZw%2BfJl2NrawsjIiPu%2B5snOzg55eXl8y/oSGR4eZkE6T66urvj444/h4eExo/2HH35AbGwsLl26JEww0nicUSLRUOexMNz39XCeeeYZDAwMCB1D4%2BTn5%2BOrr75CW1sb8vLycO7cORgZGeGdd94ROproTExMzDk7b2FhgZGREQES0XLBQolEg/tkFs/dt14fPnwYGzZsgLa29oz%2Bu4cokvoyMzPx%2BeefIzAwEPHx8QD%2Bd2hnTEwMxsfH53wED6kWEhKCyMhIxMTEKA/w7erqQlxcHJcxaVFx6Y2I/vVt/5yhezienp4IDw%2BHu7v7jEdulJaW4vjx4ygtLRU6oqi4ubmhv78fU1NT0NPTw4oVK/DPP/8oZ5HvxdcrLSTOKBEtU/fu%2BSopKVE%2ByPV%2BD1rupLl1dXXB0tJyVruZmRkGBwcFSCRud2fliJYaCyWiZUqdPV938Q59/uzt7XHhwgWEhoYq2xQKBc6ePQs7OzsBk4lTRUUF5HL5nMUn0WLi0hvRMjWfBzLziIv5a2pqgr%2B/PwwNDXH9%2BnU4Ozvj999/x%2BjoKFJTU2FtbS10RFEJDAxEWVkZNm7cCLlcDi8vL5iZmQkdi5YBFkpERIsgIiICH374IQoLC2c8csPNzQ1xcXFITEwUOqLoDA8P48cff0RhYSF%2B%2BeUXWFlZQS6Xw9PTEyYmJkLHIw3FQomIaIFUVVXhjz/%2BAPB/hdL95yW1tLQgIyMDV69eFSKixrh16xbS0tLw5ZdfYmJiAg4ODvD29sauXbuEjkYahnuUiIgWiFQqRVJSEhQKBRQKBVJTU6GlpaXsl0gk0NPTw9GjRwVMKW5VVVUoLCxEUVERhoaGsHPnTnh5eaG3txenTp3CTz/9hM8%2B%2B0zomKRBOKNERLQIDh48iOTkZKxdu1boKBohOjoaxcXF6O/vx44dOyCXy%2BHh4THj2Y4FBQWIjIxEVVWVgElJ07BQIiKiR96RI0fg7u6OPXv2QF9fX9k%2BNDSEqKgoJCYmoq2tDR0dHXBxcREwKWkaLr0REdEj6d49X%2BXl5XjppZdmndDf0tKCn3/%2BGQBgbm4Oc3PzJc9Jmo2FEhERPZLu3/OVlpbGPV%2B05Lj0RkREjzzu%2BSKhsFAiIiIiUkHrwZcQERERLU8slIiIiIhUYKFEREREpAILJSIiIiIVWCgRERERqcBCiYiIiEgFFkpEREREKvwXik2Ec7FeE4QAAAAASUVORK5CYII%3D\" class=\"center-img\">\n",
" <img 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9e/f33m/NJvNpsTEROe7CeTm5iopKcm5fefOnRUbG6vc3Nxmq5X7KAEAgBNSVFTU6O2XoqOjFRMT49X%2B48eP92q74uJi5/tdNoiKinIO1xUVFTV6zKioqGZ9T0hrBSV/uENvt27S1q3SWWdJO3aYXY1HFeW%2BPzJrs0lBQVJVleTrA8khNYfMLsE7NpsUFiYdOeLzJ3V/TRuzS/AoIECKiJDKyqRj3nXGZ7U7vMvsEjyz26XOnaWCAskf3vevmYaBTlgLvS5mPvusMjIyXJalpqYqLS2tWR%2BnoqLC5Qa6Uv3NfqurqyVJlZWVx13fHKwVlPxBZGT9D3hkpNmVWIo/ZGS/YrP98uHjQckfHHs60UwCAupPaECAfwQlixk7dqzzDbsbREdHN/vjBAUFNQo91dXVCg4OPu76kJCQZquBoAQAgFUFtMxU5JiYGK%2BH2Yzo2LGjSkpKXJaVlJQ4H9vd%2BuYMbUzmBgDAqgICWubjFOnXr59ycnLUcIG%2Bw%2BFQdna2%2BvXr51yflZXl3L6goEAFBQXO9c2BoAQAAHxGcXGxKisrJUnDhw9XWVmZ5s2bp23btmnevHmqqKjQiBEjJEnjxo3T%2B%2B%2B/r5UrVyovL0/33HOPhgwZ0my3BpAISgAAWJcfdpQGDx6sNWvWSJLCw8P1wgsvKCsrS6NHj1Zubq5efPFFhYaGSpISEhL0yCOP6LnnntO4cePUtm1bzZ8/v1nrsdYNJ/1hpmRCgpSdLSUmSjk5Zlfjkb9c9RYcLFVW%2Bv68Y7%2B56i0g4Jer3nz8Mi1/uOrNbv/lqjd/mHfsF1e9tWoldeok7d0rHT1qdjWemXXVW1BQyxy3qqpljuuDmMwNAIBVncL5RFZFUAIAwKoISoZxBgEAANygowQAgFXRUTKMMwgAAOAGHSUAAKyKjpJhBCUAAKyKoGQYZxAAAMANOkoAAFgVHSXDOIMAAABu0FECAMCq6CgZRlACAMCqCEqGcQYBAADcoKMEAIBV0VEyjDMIAADgBh0lAACsio6SYQQlAACsiqBkGGcQAADADTpKAABYFR0lwziDAAAAbtBRAgDAqugoGUZQAgDAqghKhnEGAQAA3KCjBACAVdFRMowzCAAA4AYdJQAArIqOkmEEJQAArIqgZBhnEAAAwA06SgAAWBUdJcM4gwAAAG6csqC0e/duxcXFaffu3Y3WrVq1SsnJyaeqFAAAfhsCAlrm4zfklA29de7cWV988YXat29/qh4SAIDftt9YqGkJpywo2e12RUdHn6qHAwAAMMyUobfCwkLdfPPNOvfcczVq1Cj99NNPp6oMAAB%2BOxh6M8yUq97uuOMOhYaGauXKldq6datmz56tdu3andAxioqKVFxc7LIsuls3xURGNmepzS8%2B3vWzj7PZzK7As4Ya/aFWv/kF01CnH9Rrt5tdgWd%2BdDrrtWpldgWeBQa6fvZlR4%2BaXQEMOOXfYRUVFcrJydGnn36q2NhYnXXWWdq0aZM%2B%2BuijEzpOZmamMjIyXJal3nGH0u64oznLbTlvvGF2BV4JNruAExAUZHYF3ggzu4ATExJidgUeRZhdwAkIDze7Ai9FdDK7Au916GB2BZ7t2mXeY/tNOvddpzwoffbZZ4qMjFRsbKxzWd%2B%2BfU84KI0dO7bRlXLRV10lLV/eLHW2mPj4%2BpA0fryUl2d2NR5V/jvb7BI8stnqQ1JVleRwmF3N8QXXHjG7BO8EBNSHpIoKqa7O7GqOq6zW98NnQEB9SDp82OdPpyQponyv2SV4FhhYH5JKSqSaGrOr8V0EJcNM6Vk6fvVq1uok2rwxMTGKiYlxXbhjh5GyTq28PCknx%2BwqPPL14HEsh8MP6vWHV8lj1dX5fM21tWZX4L26Oj%2Bp15%2BGimpq/Kte%2BJ1THjWHDh2qgwcP6scff3Qu27x586kuAwAA62Myt2Gn/NkGBQVp0KBBmjVrlvLy8rRu3Tq99tprp7oMAACsj6BkmCnP9umnn1a7du10/fXX66mnnlJKSooZZQAAABzXKZuj1KVLF23ZssX5daMr1lJTT1UpAAD8Nvho96eqqkoPP/ywPv74YwUHB%2Bumm27STTfd1Gi7lJQUff31142Wjx49WvPnz9fBgwc1YMAAl3WRkZFav359s9XqBzegAAAAVrJgwQJt2rRJy5cv188//6x7771XsbGxGj58uMt2ixcv1tFjJuvn5ubqzjvv1Pjx4yVJ27ZtU2RkpFavXu3cJqCZwyFBCQAAq/LBjlJ5eblWrlyppUuXqk%2BfPurTp4%2B2bt2q119/vVFQijzmJtK1tbV6%2BumndfPNN6tv376SpPz8fHXr1q1F3yLN984gAABoHj44mTsvL081NTVKSEhwLuvfv79yc3NVd5zbkaxatUoHDx7U1KlTncu2bdumM88801A9ntBRAgAAJ6TJtxGLjm58f8MmFBcXq127dmrdurVzWYcOHVRVVaUDBw6offv2jfZxOBx66aWXNHHiRIWF/XKT2e3bt6umpkZjxoxRYWGhkpKSlJ6e7lUd3iIoAQBgVS009Nbk24ilpiotLc3jvhUVFS4hSZLz6%2Brq6ib3Wb9%2Bvfbu3avrrrvOZXl%2Bfr7at2%2Bv9PR0ORwOPf3007r11lu1cuVK2ZvpjSAJSgAA4IQ0%2BTZiXs4TCgoKahSIGr4ODm76HUbXrl2riy%2B%2B2GXOkiR9%2BOGHstlszv2effZZDR48WLm5uUpMTPSqHk8ISgAAWFULdZSafBsxL3Xs2FH79%2B9XTU2NAgPrY0hxcbGCg4MVEdH021z/61//avI2QiG/euPuqKgoRUZGqrCw8KRqawqTuQEAsCofnMzdu3dvBQYGasOGDc5lWVlZ6tu3b5OX9u/bt0%2B7du1S//79XZYfPnxY5513nr766ivnssLCQu3fv1/du3c3VOOxCEoAAOCUCQkJ0ciRIzVnzhxt3LhR69at07JlyzRx4kRJ9d2lyspK5/Zbt25VUFCQunTp4nKc8PBw9e/fX/Pnz9fGjRv13Xff6X/%2B53900UUXKS4urtnqJSgBAGBVPthRkqT09HT16dNHkyZN0sMPP6y0tDRddtllkqTBgwdrzZo1zm1LS0sVEREhm83W6DhPPPGEzj77bN1yyy1KSUnRaaedpkWLFhmu71g2h8PhaNYjmqmJk%2BhzEhKk7GwpMVHKyTG7Go8qyn3/28Nmk4KDpcpKyde/m0NqDpldgncCAqSwMOnIEek49zXxBftr2phdgkd2uxQRIZWVSbW1ZlfjWbvDu8wuwbNWraROnaS9e6Vj7tzss7p2NedxL7%2B8ZY67dm3LHNcHMZkbAACr8sE7c/sbghIAAFZFUDKMMwgAAOAGHSUAAKyKjpJhnEEAAAA36CgBAGBVdJQMIygBAGBVBCXDOIMAAABu0FECAMCq6CgZxhkEAABwg44SAABWRUfJMIISAABWRVAyjDMIAADgBh0lAACsio6SYZxBAAAAN%2BgoAQBgVXSUDCMoAQBgVQQlwziDAAAAbtBRAgDAqugoGcYZBAAAcIOOEgAAVkVHyTCCEgAAVkVQMowzCAAA4AYdJQAArIqOkmGWCkoV5Q6zS/DIZpOCJVX%2BO1sO3y9XIaE2s0vwLCFBys5W8AWJUk6O2dUcV062H/ynSwoJkeLjpbxdYaqoMLua4%2BvZ0%2BwKPGt4rbLb638H%2BLpDkV3NLsGjgAApTNKRNp1UV2d2NZ61MbsAnDRLBSUAAHAMOkqGEZQAALAqgpJhnEEAAAA36CgBAGBVdJQMIygBAGBVBCXDOIMAAABu0FECAMCq6CgZxhkEAABwg44SAABWRUfJMIISAABWRVAyjDMIAADgBh0lAACsio6SYZxBAAAAN%2BgoAQBgVXSUDCMoAQBgVQQlwziDAAAAbhCUAACwqoCAlvkwqKqqSrNmzVJSUpIGDx6sZcuWud32tttuU1xcnMvHp59%2B6lz/l7/8RRdddJESEhI0a9YsVVRUGK7vWAy9AQCAU2rBggXatGmTli9frp9//ln33nuvYmNjNXz48Ebbbt%2B%2BXQsXLtSgQYOcy9q2bStJWrt2rTIyMrRw4UJFRUUpPT1dCxcu1IMPPthstRKUAACwKh%2Bco1ReXq6VK1dq6dKl6tOnj/r06aOtW7fq9ddfbxSUqqurtXv3bvXt21fR0dGNjrVixQpNmjRJQ4cOlSQ9/PDDmjJlimbOnKmQkJBmqdf3ziAAAGgePjj0lpeXp5qaGiUkJDiX9e/fX7m5uaqrq3PZNj8/XzabTV27dm10nNraWn377bdKSkpyLjv33HN19OhR5eXlGarxWHSUAADACSkqKlJxcbHLsujoaMXExHjct7i4WO3atVPr1q2dyzp06KCqqiodOHBA7du3dy7Pz89XeHi47rnnHn399dfq1KmT0tLSdMkll6isrExVVVUujxkYGKjIyEjt3bu3GZ7lf4/ZbEcCAAC%2BpYWG3jIzM5WRkeGyLDU1VWlpaR73raiocAlJkpxfV1dXuyzPz89XZWWlBg8erFtuuUWffPKJbrvtNmVmZqpDhw4u%2Bx57rF8fxwiCEgAAOCFjx45VcnKyy7Km5hA1JSgoqFGQafg6ODjYZfmf/vQnpaSkOCdvx8fH67vvvtNbb72l//mf/3HZ99hjNdf8JImgBACAdbVQRykmJsarYbamdOzYUfv371dNTY0CA%2BtjSHFxsYKDgxUREeGybUBAgDMkNejevbu2bdumyMhIBQUFqaSkRD169JAk1dTU6MCBA16HNm8wmRsAAKvywcncvXv3VmBgoDZs2OBclpWVpb59%2ByrgV8e%2B7777lJ6e7rIsLy9P3bt3V0BAgPr27ausrCznug0bNigwMFDx8fGGajwWQQkAAJwyISEhGjlypObMmaONGzdq3bp1WrZsmSZOnCipvrtUWVkpSUpOTtYHH3yg9957Tz/%2B%2BKMyMjKUlZWlCRMmSJLGjx%2Bvl19%2BWevWrdPGjRs1Z84cXXfddQy9AQAAL/jgfZQkKT09XXPmzNGkSZMUHh6utLQ0XXbZZZKkwYMHa/78%2BRo9erQuu%2BwyPfTQQ3r%2B%2Bef1888/66yzztJLL72kLl26SJL%2B8Ic/aM%2BePXrwwQdVXV2tyy67TDNnzmzWWm0Oh8PRrEc0UTPftbxF2GxScLBUWSn5w5kPCbWZXYJnCQlSdraUmCjl5JhdzXHlZPvBf7qkkBApPl7Ky/P9n6uePc2uwLOAACksTDpyRPrVbWJwkvztnLZpY9IDz5/fMsf91XCYldFRAgDAqny0o%2BRPCEoAAFgVQckwziAAAIAbdJQAALAqOkqGcQYBAADcoKMEAIBV0VEyjKAEAIBVEZQM4wwCAAC4QUcJAACroqNkWIudwd27dysuLk67d%2B/2uO2XX36p7du3t1QpAAAAJ8UnoubkyZNVUlJidhkAAFhLQEDLfPyGMPQGAIBV/cZCTUs4JWdw27ZtmjJlihISEtS3b1%2BNHz/eOdSWnJwsSZo4caIWL158KsoBAADwSot3lBwOh2699VZdcMEFeuihh3To0CE98sgjWrhwoZYsWaK3335bgwYN0uLFi3XhhRd6fdyioiIVFxe7LIuIiFZ0dExzP4VmZbO5fvZ5CQlmV%2BBZfLzrZx8WEmJ2Bd4JCnL97Mv84Q/mhhr9oVZ/4U/ntK7OxAf3hxPk41o8KFVWVur666/X%2BPHjFRoaKkkaNWqUXnrpJUlS%2B/btJUlt27ZVWFiY18fNzMxURkaGy7Lp01N1%2B%2B1pzVR5y/KHFyBJUna22RV47403zK7AI9%2BPcq66dTO7Amvxl6DsT/zhnB46ZHYFMKLFg1JISIjGjRun9957T5s2bVJ%2Bfr6%2B//57dejQwdBxx44d6xy2axAREa3KSkOHbXE2W31IqqqSHA6zq/Es%2BIJEs0vwLD6%2BPiSNHy/l5ZldzXHlveEfwTMoqD4k7dhR/73qy7p2NbsCzwIC6l/QKypM7i5YCOfUS3SUDGvxoFReXq6pU6eqXbt2Sk5O1pVXXqn8/HwtW7bM0HFjYmIUE%2BM6zFZR4R/hQ6qv0y9qzckxuwLv5eX5fL0VFWZXcGKqqny/Zn96kayr8696/QHn1AOCkmEtHpS%2B/vprFRUV6YMPPlBgYP3DffHFF3L4RUoAAAC/ZS0eNfv06aPy8nKtW7dOu3fv1sqVK/X666%2BrurrauU1oaKi2bt2qQwzkAgDQfLiPkmEt/myjo6M1ffp0Pfzww7r66qu1atUqPfjggyotLVVhYaEkKSUlRQsWLOD2AAAAwKfYHBYaA/P1uRRS/WTu4GCpstI/5iiFhPrBfQwSEuqvzktM9Pk5SjnZfvCfrvpJsvHx9dO%2BfP3nqmeKBu25AAAgAElEQVRPsyvwLCBACguTjhxhPk1z8bdz2qaNSQ%2B8fHnLHHfSpJY5rg/iztwAAFjVb2yYrCVwBgEAANygowQAgFXRUTKMoAQAgFURlAzjDAIAALhBRwkAAKuio2QYZxAAAMANOkoAAFgVHSXDCEoAAFgVQckwziAAAIAbdJQAALAqOkqGcQYBAADcoKMEAIBV0VEyjKAEAIBVEZQM4wwCAAC4QUcJAACroqNkGGcQAADADTpKAABYFR0lwwhKAABYFUHJMM4gAACAGwQlAACsKiCgZT4Mqqqq0qxZs5SUlKTBgwdr2bJlbrf95z//qWuuuUYJCQm66qqr9Pe//91lfVJSkuLi4lw%2Bjhw5YrjGBgy9AQCAU2rBggXatGmTli9frp9//ln33nuvYmNjNXz4cJft8vLylJqaqnvuuUeXXHKJvvjiC91xxx16%2B%2B23FR8fr8LCQh06dEjr1q1TcHCwc7/Q0NBmq5WgBACAVfngHKXy8nKtXLlSS5cuVZ8%2BfdSnTx9t3bpVr7/%2BeqOgtHr1ap1//vmaOHGiJOmMM87QP/7xD/3tb39TfHy8tm/frujoaHXt2rXF6iUoAQBgVS0UlIqKilRcXOyyLDo6WjExMR73zcvLU01NjRISEpzL%2BvfvryVLlqiurk4Bx9Q8atQoHT16tNExDh06JEnatm2bunXrdrJPwysEJQAAcEIyMzOVkZHhsiw1NVVpaWke9y0uLla7du3UunVr57IOHTqoqqpKBw4cUPv27Z3Le/To4bLv1q1b9eWXX%2Br666%2BXJG3fvl0VFRVKSUnRjh071Lt3b82aNatZwxNBCQAAq2qhjtLYsWOVnJzssiw6OtqrfSsqKlxCkiTn19XV1W7327dvn9LS0pSYmKjf//73kqT8/HwdPHhQd911l8LDw7V06VJNnjxZH374ocLDw0/kKblFUAIAACckJibGq2G2pgQFBTUKRA1fHzsh%2B1glJSW68cYb5XA49OyzzzqH515%2B%2BWUdPXpUYWFhkqRFixbpkksu0aeffqqrrrrqpOr7NYISAABW5YOTuTt27Kj9%2B/erpqZGgYH1MaS4uFjBwcGKiIhotH1hYaFzMveKFStchuZat27t0p0KCgpSly5dVFhY2Gz1%2Bt4ZBAAAzcMH76PUu3dvBQYGasOGDc5lWVlZ6tu3r8tEbqn%2BCrmbb75ZAQEBeu2119SxY0fnOofDoWHDhmnVqlUu2//444/q3r27oRqPRUcJAACcMiEhIRo5cqTmzJmjxx57TEVFRVq2bJnmz58vqb671KZNGwUHB%2BuFF17QTz/9pFdffdW5TqofomvTpo2GDBmixYsX67TTTlP79u31zDPPqFOnTrrkkkuarV6CEgAAVuWDQ2%2BSlJ6erjlz5mjSpEkKDw9XWlqaLrvsMknS4MGDNX/%2BfI0ePVpr165VZWWlrr32Wpf9R40apccff1wzZ85UYGCgZsyYocOHD%2Bv888/Xiy%2B%2BKLvd3my12hwOh6PZjmayigqzK/DMZpOCg6XKSskfznxIqM3sEjxLSJCys6XERCknx%2Bxqjisn2w/%2B0yWFhEjx8VJenu//XPXsaXYFngUESGFh0pEjUl2d2dVYg7%2Bd0zZtTHrgL79smeMOGtQyx/VBdJQAALAqH%2B0o%2BROCEgAAVkVQMsxSQSmk5pDZJXgWECApTMG1/tEv9oehopAQKV5S3hvZPj9MlJDoB0OZknM4M3687w9n1tb4/vdoAze3iPE59n3FnjcyW2CgFNZOYdX7pZoas6vxrI13N2OE77FUUAIAAMego2QYZxAAAMANOkoAAFgVHSXDCEoAAFgVQckwziAAAIAbdJQAALAqOkqGcQYBAADcoKMEAIBV0VEyjKAEAIBVEZQM4wwCAAC4QUcJAACroqNkGEEJAACrIigZxhkEAABwg44SAABWRUfJMM4gAACAG3SUAACwKjpKhhGUAACwKoKSYZxBAAAAN%2BgoAQBgVXSUDOMMAgAAuEFHCQAAq6KjZBhBCQAAqyIoGcYZBAAAcIOOEgAAVkVHyTDOIAAAgBt0lAAAsCo6SoYRlAAAsCqCkmGcQQAAADfoKAEAYFV0lAzjDAIAALhBRwkAAKuio2QYQQkAAKsiKBnGGQQAAHCDjhIAAFZFR8kwziAAAIAbdJQAALAqOkqGEZQAALAqgpJhnEEAAAA3mjUo7d69W3Fxcdq9e3dzHhYAAJyMgICW%2BTCoqqpKs2bNUlJSkgYPHqxly5a53fb777/Xtddeq379%2BumPf/yjNm3a5LJ%2B9erVGjZsmPr166fp06dr3759hus7Fh0lAABwSi1YsECbNm3S8uXL9dBDDykjI0MfffRRo%2B3Ky8t1yy23KCkpSatWrVJCQoKmTZum8vJySdLGjRs1e/ZspaamKjMzU2VlZUpPT2/WWglKAABYlQ92lMrLy7Vy5UrNnj1bffr00aWXXqqbb75Zr7/%2BeqNt16xZo6CgIN1zzz3q0aOHZs%2BerbCwMGeoeu211zRixAiNHDlS8fHxWrBggT777DPt2rXLUI3HarHJ3HFxcVqwYIGWLl2qnTt36pxzztETTzyhrl27SpI2bdqkRx55RHl5eTr77LM1aNAg/ec//9Grr77q1fGLiopUXFzssiw6NFQxMTHN/lyaVcM3mJ9MsAsJMbsCz4KCXD/7tIQEsyvwTny862f8tgT6wXU%2BdrvrZ19WU2PeY7fQa02Tr8HR0V69Bufl5ammpkYJx/w%2B7N%2B/v5YsWaK6ujoFHFNzbm6u%2BvfvL5vNJkmy2WxKTEzUhg0bNHr0aOXm5mrq1KnO7Tt37qzY2Fjl5uY684ZRLfrTsHjxYs2dO1dRUVG644479Oc//1lPPvmkDh06pJtvvlkjRozQ448/rn//%2B9%2BaP3%2B%2BEhMTvT52ZmamMjIyXJalTp%2ButNtvb%2B6n0TL8IYHIv14nu3UzuwIvZGebXcGJeeMNsyvwyA9eJp384TVdktSundkVeC8iwuwKPPtVoLCCJl%2BDU1OVlpbmcd/i4mK1a9dOrVu3di7r0KGDqqqqdODAAbVv395l2549e7rsHxUVpa1bt0qqD2y/DmdRUVHau3fvCT8nd1o0KN14440aNGiQJGncuHHOttqaNWsUGhqq%2B%2B%2B/X3a7Xd27d1d2dnajdHo8Y8eOVXJyssuy6NBQ6ciR5nsCLSEgoD4kVVRIdXVmV%2BNR3q4ws0vwKCioPiTt2CFVVZldzfHFj/f%2BjwFTxcfXh6Tx46W8PLOrOa7ab/wjfNrtUm2t2VV4x1623%2BwSPLPb60NSWZn/nFgTOGRrkeM2%2BRocHe3VvhUVFS4hSZLz6%2Brqaq%2B2bdiusrLyuOubQ4sGpTPOOMP57/DwcB09elSStGXLFvXp00f2Y/68Ovfcc/XJJ594feyYmJjGLb5Dh/wifEiqr9MPaq2oMLsC71VV%2BUG9OTlmV3Bi8vL8r2YYZ%2BZQ0YmqrfWvei2iyddgLwUFBTUKMg1fBwcHe7Vtw3bu1oc046hNiwalVq1aNbncbrfL4XC4LPv11wAAwJiW%2BnvcyDByx44dtX//ftXU1Cjwv/PhiouLFRwcrIhfDaV27NhRJSUlLstKSkqcIc3dem%2B7W94wZUbxWWedpc2bN6vumP/B7777zoxSAACwrIbBi%2Bb%2BMKJ3794KDAzUhg0bnMuysrLUt29fl4ncktSvXz/l5OQ4mykOh0PZ2dnq16%2Bfc31WVpZz%2B4KCAhUUFDjXNwdTgtIf/vAHHT58WPPnz9eOHTv01ltvac2aNWaUAgAATqGQkBCNHDlSc%2BbM0caNG7Vu3TotW7ZMEydOlFTfXaqsrJQkDR8%2BXGVlZZo3b562bdumefPmqaKiQiNGjJBUP//5/fff18qVK5WXl6d77rlHQ4YMabYr3iSTglJYWJiWLFmib775RldddZXeffddXXXVVY0mZAEAgJPnix0lSUpPT1efPn00adIkPfzww0pLS9Nll10mSRo8eLCzeRIeHq4XXnhBWVlZztsBvPjiiwoNDZUkJSQk6JFHHtFzzz2ncePGqW3btpo/f77xAo9hc5gwOWjXrl0qLCxUUlKSc9nDDz%2BsiooKPf744yd/4EOHmqG6FhYQIIWF1V%2Bd5weTuXO2tTG7BI9CQuov0srL8/3J3AmJLXMFSrNLSKi/lUFios9P5q6t8Y/5jX511ds%2BP7icPTCw/jYG%2B/f7x2TuZpwzcyJa6kpgv7hvXTMxpaN0%2BPBh3Xjjjfroo4%2B0Z88effzxx3r//fc1fPhwM8oBAMCSfLWj5E9Muf1q79699eCDD%2Bqpp55SQUGBYmNjlZ6eriFDhphRDgAAlvRbCzUtwbT71F977bW69tprzXp4AAAAj/zgDX0AAMDJoKNkHEEJAACLIigZ5x9vYQ8AAGACOkoAAFgUHSXj6CgBAAC4QUcJAACLoqNkHEEJAACLIigZx9AbAACAG3SUAACwKDpKxtFRAgAAcIOOEgAAFkVHyTiCEgAAFkVQMo6hNwAAADfoKAEAYFF0lIyjowQAAOAGHSUAACyKjpJxBCUAACyKoGQcQ28AAABu0FECAMCi6CgZR0cJAADADTpKAABYFB0l4whKAABYFEHJOIbeAAAA3KCjBACARdFRMo6OEgAAgBt0lAAAsCg6SsYRlAAAsCiCknEMvQEAALhBRwkAAIuio2QcHSUAAAA36CgBAGBRdJSMs1RQ2l/TxuwSPLLbpQhJZbVhqq01uxrPevY0uwLPAv7bF%2B3a1fd/KdTWOMwuwWt2SbXfZJtdhkf2QJvZJXiWkCBlZ8t%2BXqKUk2N2NR75y/epXVJtRDuzy/CK3aTH9fXfif6AoTcAAAA3LNVRAgAAv6CjZBwdJQAAADfoKAEAYFF0lIwjKAEAYFEEJeMYegMAAHCDoAQAgEXV1bXMR0tyOBxatGiRzj//fA0YMEALFixQ3XEedMOGDbr%2B%2BuuVkJCgyy%2B/XCtXrnRZf/XVVysuLs7l44cffvC6HobeAACAz3jllVe0evVqZWRkqKamRjNnzlRUVJSmTJnSaNvi4mJNnTpV48aN0%2BOPP67vvvtO6enpio6O1pAhQ1RbW6udO3fqtdde05lnnuncr1077%2B%2B/RVACAMCi/HGO0ooVK3T77bcrKSlJknT33XfrmWeeaTIorVu3Th06dNBdd90lSTrzzDO1fv16ffDBBxoyZIh2796to0eP6pxzzlFQUNBJ1UNQAgDAoloqKBUVFam4uNhlWXR0tGJiYgwdt7CwUAUFBTrvvPOcy/r37689e/aoqKio0fEvuugi9e7du9FxDh8%2BLEnatm2bOnfufNIhSWKOEgAAOEGZmZkaPXq0y0dmZqbh4zaEr2MDUYcOHSRJe/fubbR9ly5ddO655zq/Li0t1YcffqhBgwZJkrZv365WrVpp2rRpuvDCCzVhwgRt3LjxhGqiowQAgEW1VEdp7NixSk5OdlkWHR3t1b6VlZUqLCxscl15ebkkqXXr1s5lDf%2Burq72eNy0tDR16NBBY8eOlSTt2LFDBw8e1LXXXqvbb79db731liZNmqQ1a9aoc%2BfOXtVLUAIAACckJibmpIfZcnNzNXHixCbXzZw5U1J9KGoYLmsISCEhIW6PeeTIEf3pT3/Szp079cYbbzi3nTt3riorKxUeHi5JmjNnjrKzs/X%2B%2B%2B/r1ltv9apeghIAABbli5O5Bw4cqC1btjS5rrCwUAsXLlRxcbG6dOki6ZfhOHcdq8OHD%2Bvmm2/WTz/9pOXLl7tc3RYYGOgMSZJks9nUvXt3tx2tpjBHCQAAi/K3%2Byh17NhRsbGxysrKci7LyspSbGxskx2suro6paamavfu3Xr11Vd11llnuaxPSUlRRkaGy/ZbtmxR9%2B7dva6JjhIAAPAZ48aN06JFi9SpUydJ0pNPPqmbbrrJuX7fvn0KCgpSWFiY3n77ba1fv17PP/%2B8IiIinN2nVq1aKTIyUsnJyXruuefUu3dvdevWTStWrNChQ4c0atQor%2BshKAEAYFG%2BOPTmyZQpU1RaWqrU1FTZ7XaNGTNGkydPdq4fM2aMRo0apbS0NK1du1Z1dXWaNm2ayzEGDBigV199VZMnT1ZVVZUeffRRlZSUqF%2B/fnrllVdchuM8sTkcDkdzPTmz7d9vdgWe2e1SRIRUVibV1ppdjWeBfhClAwKksDDpyBHf/6UQGmp2Bd6z2/3je9QeaDO7BM8SEqTsbCkxUcrJMbsaj2pr/ONlwV%2B%2BR6X6Ws3wt7%2B1zHFHjGiZ4/oi5igBAAC44Qf9AgAAcDJ8vcvuD%2BgoAQAAuEFHCQAAi6KjZBxBCQAAiyIoGcfQGwAAgBt0lAAAsCg6SsbRUQIAAHCDjhIAABZFR8k4ghIAABZFUDKOoTcAAAA36CgBAGBRdJSMo6MEAADgBh0lAAAsio6ScQQlAAAsiqBkHENvAAAAbtBRAgDAougoGUdHCQAAwA06SgAAWBQdJeMMdZQ2b96s7OxsQwU4HA69/vrrho4BAAAaq6trmY/fEkNBafr06dq5c6ehAr755hs98sgjho4BAADQEkwfenM4HGaXAACAJf3Wuj8t4aQ7SikpKdqzZ4/S09N133336YcfflBKSorOOeccXX755c7hNIfDoQkTJmjixInOfZ999lkNGTJEW7ZscS6Pi4vT%2BvXrDT4dAACA5nPSHaXFixfrmmuu0U033aTRo0fryiuv1KhRozR37lzl5%2BfrgQceUFhYmEaOHKmHH35YI0eO1Nq1a9WjRw%2B9%2BOKLev7559WzZ08tXrxYaWlp%2BuKLL9S2bVuvH7%2BoqEjFxcUuy4KDoxUdHXOyT%2BmUCAhw/ezr/KFOfzunaGYJCWZX4Fl8vOtn4BSho2TcSQelyMhI2e12tWnTRh999JGioqJ05513SpLOPPNM7dmzRytWrNDIkSPVo0cPTZs2TQsWLFCHDh109dVX66KLLpIkZziKjo4%2BocfPzMxURkaGy7Lp01N1%2B%2B1pJ/uUTqnwcLMrsJ6QELMrsB673ewKvGDwgpJT6o03zK7AK/7w397AH75Ha2vNe2yCknHNMkcpPz9feXl5SjjmL7va2lrZj/kOvuWWW/TBBx9ox44deumllww/5tixY5WcnOyyLDg4WmVlhg/dogIC6kPS4cP%2B8Q3sD7%2BEAgLqQ1JFhe%2Bf0%2BBgsyvwnt1u7i94b9nPSzS7BM/i4%2BtD0vjxUl6e2dV4VPuNf4RPf/kehX9rlqBUU1OjQYMG6cEHH3S7zb59%2B1RcXKyqqipt3rxZAwYMMPSYMTExiolxHWbbv99/fmjq6vyjVpvN7Aq891u8bBWScnLMrsB7eXn%2BVS/8Hr8TjWuWWR3dunXTjh071KVLF51xxhk644wztGHDBr366qvObebOnasBAwbo5ptv1gMPPKDq6mpJks2fXokBAMBviqGgFBoaqvz8fF1yySWqrKzUgw8%2BqO3bt%2Buzzz7TvHnzFBUVJUn6%2BOOP9a9//UuzZ8/WtGnTVFVVpeeee06SFPLfiSWbNm1SVVWVwacDAAAacMNJ4wwFpXHjxun111/X/PnztXTpUu3cuVMjR47U/fffrxtuuEHTpk3T4cOHNXfuXE2dOlVdu3ZVaGio7rvvPr388sv64YcfFBcXpwsvvFDXX3%2B9Pvvss%2BZ6XgAA/OYRlIyzOSx0x8f9%2B82uwDO7XYqIkMrK/GOOUqDptyT1LCBACguTjhzx/R/g0FCzK/Cev0yUtQf6wfB9QkL91XmJiX4xR6m2xj9eFvzle1Qy78KYxYtb5rhp/nGBebPwg5dBAABwMnz9j0d/wC36AAAA3KCjBACARdFRMo6gBACARRGUjGPoDQAAwA06SgAAWBQdJePoKAEAALhBRwkAAIuio2QcQQkAAIsiKBnH0BsAAPAZDodDixYt0vnnn68BAwZowYIFqjtO4nv00UcVFxfn8vHaa685169evVrDhg1Tv379NH36dO3bt%2B%2BE6qGjBACARfljR%2BmVV17R6tWrlZGRoZqaGs2cOVNRUVGaMmVKk9tv375dM2bM0KhRo5zLwsPDJUkbN27U7Nmz9fDDDys%2BPl7z5s1Tenq6XnjhBa/roaMEAIBF%2BeOb4q5YsUK33367kpKSdP755%2Bvuu%2B/W66%2B/7nb77du36%2Byzz1Z0dLTzIyQkRJL02muvacSIERo5cqTi4%2BO1YMECffbZZ9q1a5fX9RCUAACATygsLFRBQYHOO%2B8857L%2B/ftrz549KioqarT94cOHVVhYqDPPPLPJ4%2BXm5iopKcn5defOnRUbG6vc3Fyva2LoDQAAi2qp7k9RUZGKi4tdlkVHRysmJsbQcRuOeexxOnToIEnau3dvo%2BNv375dNptNS5Ys0eeff67IyEjdeOONzmG4oqKiRvtERUVp7969XtdEUAIAACckMzNTGRkZLstSU1OVlpbmcd/KykoVFhY2ua68vFyS1Lp1a%2Beyhn9XV1c32j4/P182m03du3fXhAkT9M033%2BiBBx5QeHi4Lr30UlVWVrocq%2BF4TR3LHYISAAAW1VIdpbFjxyo5OdllWXR0tFf75ubmauLEiU2umzlzpqT6UBQUFOT8tyTnvKNjjRw5UkOHDlVkZKQkKT4%2BXjt37tRf//pXXXrppQoKCmoUiqqrq5s8ljsEJQAALKqlglJMTMxJD7MNHDhQW7ZsaXJdYWGhFi5cqOLiYnXp0kXSL8NxTQUxm83mDEkNunfvrq%2B%2B%2BkqS1LFjR5WUlLisLykp8TrUSUzmBgAAPqJjx46KjY1VVlaWc1lWVpZiY2ObDGbPPPOMJk%2Be7LIsLy9P3bt3lyT169fP5VgFBQUqKChQv379vK6JjhIAABblj/dRGjdunBYtWqROnTpJkp588knddNNNzvX79u1TUFCQwsLCNHToUL344ot6%2BeWXdemll%2BqLL77Qe%2B%2B9pxUrVjiPlZKSonPPPVd9%2B/bVvHnzNGTIEHXt2tXreghKAADAZ0yZMkWlpaVKTU2V3W7XmDFjXLpGY8aM0ahRo5SWlqZzzjlHzzzzjJ599lk988wzOu200/Tkk08qISFBkpSQkKBHHnlEzz77rA4ePKgLL7xQc%2BfOPaF6bA6Hw9GcT9BM%2B/ebXYFndrsUESGVlUm1tWZX41mgH0TpgAApLEw6csT3/3oKDTW7Au/Z7f7xPWoPtJldgmcJCVJ2tpSYKOXkmF2NR7U1/vGy4C/fo1J9rWZIT2%2BZ486f3zLH9UV%2B8DIIAABOhq//8egPmMwNAADgBh0lAAAsio6ScXSUAAAA3KCjBACARdFRMo6gBACARRGUjGPoDQAAwA06SgAAWBQdJePoKAEAALhBRwkAAIuio2QcQQkAAIsiKBnH0BsAAIAbdJQAALAoOkrG0VECAABww1IdpXaHd5ldgmetWkkRnRRRvlc6etTsajw6FNnV7BIsxb6v2OwSvBMYKLVrJ3vZfqmmxuxqjqu2xmF2CV6xS6r9JtvsMrxiD7SZXYJnCQlSdrbs5yVKOTlmV%2BOZw5zvUzpKxlkqKAEAgF8QlIxj6A0AAMANOkoAAFgUHSXj6CgBAAC4QUcJAACLoqNkHEEJAACLIigZx9AbAACAG3SUAACwKDpKxtFRAgAAcIOOEgAAFkVHyTiCEgAAFkVQMo6hNwAAADfoKAEAYFF0lIyjowQAAOAGHSUAACyKjpJxBCUAACyKoGQcQ28AAABu0FECAMCi6CgZR1ACAMCiCErGMfQGAADgBh0lAAAsio6ScXSUAAAA3KCjBACARdFRMo6gBACARRGUjGPoDQAAwA06SgAAWBQdJeMISgAAwGc4HA49%2BeSTevvtt1VXV6cxY8bo7rvvVkBA40Gw%2B%2B67T%2B%2B%2B%2B26j5QMHDtSKFSskSUlJSTp06JDL%2BuzsbIWFhXlVD0EJAACL8seO0iuvvKLVq1crIyNDNTU1mjlzpqKiojRlypRG286ePVszZsxwfr1nzx6lpKRo4sSJkqTCwkIdOnRI69atU3BwsHO70NBQr%2BshKAEAYFH%2BGJRWrFih22%2B/XUlJSZKku%2B%2B%2BW88880yTQalNmzZq06aN8%2Bv77rtPw4cP17BhwyRJ27dvV3R0tLp27XrS9RCUAACATygsLFRBQYHOO%2B8857L%2B/ftrz549KioqUkxMjNt9v/zyS33zzTdau3atc9m2bdvUrVs3QzURlAAAsKiW6igVFRWpuLjYZVl0dPRxg4w3Go557HE6dOggSdq7d%2B9xj//iiy9q1KhR6ty5s3PZ9u3bVVFRoZSUFO3YsUO9e/fWrFmzTig8EZQAAMAJyczMVEZGhsuy1NRUpaWledy3srJShYWFTa4rLy%2BXJLVu3dq5rOHf1dXVbo%2B5a9cuffXVV5o9e7bL8vz8fB08eFB33XWXwsPDtXTpUk2ePFkffvihwsPDPdYqEZQAALCsluoojR07VsnJyS7LoqOjvdo3NzfXOdn612bOnCmpPhQFBQU5/y1JISEhbo%2B5du1a9e7dWz179nRZ/vLLL%2Bvo0aPOK9wWLVqkSy65RJ9%2B%2Bqmuuuoqr%2BolKAEAYFEtFZRiYmJOepht4MCB2rJlS5PrCgsLtXDhQhUXF6tLly6SfhmOO14Q%2B9e//qXf//73jZa3bt3apTsVFBSkLl26uO1oNYU7cwMAAJ/QsWNHxcbGKisry7ksKytLsbGxboOZw%2BHQt99%2Bq8TExEbLhw0bplWrVjmXlZeX68cff1T37t29romOEgAAFuWPtwcYN26cFi1apE6dOkmSnnzySd10003O9fv27VNQUJBzOG3Pnj06cuRIo2E3m82mIUOGaPHixTrttNPUvn17PfPMM%2BrUqZMuueQSr%2BshKAEAAJ8xZcoUlZaWKjU1VXa7XWPGjNHkyZOd68eMGaNRo0Y5J46XlpZKktq2bdvoWDNnzlRgYKBmzJihw4cP6/zzz9eLL74ou93udT02h8Ph8HbjzZs3q6KiolF7y2fs2mV2BZ61aiV16iTt3SsdPWp2NR4dijz5m3SdKgEBUliYdOSI7//11Kay2PNGviAwUGrXTvKHNJsAABKqSURBVNq/X6qpMbua46pt790EUrPZ7VJtrdlVeMceaDO7BM8SEqTsbCkxUcrJMbsaz7x/qW1Wgwa1zHG//LJljuuLTmiO0vTp07Vz584WKgUAADSnurqW%2BfgtYTI3AACAG14HpZSUFO3Zs0fp6em68cYb9eijj7qsv/XWW/XnP/9Z69ev18UXX6wVK1Zo4MCBuuCCC/T888%2B7bPvmm28qOTlZCQkJSklJcXuZIAAAOHl0lIzzejL34sWLdc011zhnnr/88suaPXu2bDabDh06pC%2B%2B%2BEIzZszQvn37VFpaqvfee0/Lli1TQUGB7r33XkVFRem6667TP/7xD2VkZGju3Lnq1q2b3nvvPU2cOFEff/xxkxOx3Gny9ul1dYrx8oZXpgkMdP3s4wL8oOfYUKM/1Oov/%2B9qmOh4AhMeYSEJCWZX4Fl8vOtnX%2BYPc6jglte/tSMjI2W329WmTRsNGzZMCxcuVHZ2tvr3769169apW7duOuuss7R%2B/XrV1NToscceU3x8vPr06aNJkybpzTff1HXXXaeXXnpJ06ZN09ChQyVJd955pz7//HP93//9n1JSUrwuvMnbp0%2BfrrTbb/f6GKb673vX%2BLowsws4Ace5aavvCGtndgUnJiLC7Ao88qco5ze5Mzvb7Aq898YbZlfgmc28yfG/te5PSzipP28jIiJ08cUX66OPPlL//v31t7/9TVdccYVzfWhoqOKPSfm/%2B93vtGzZMkn1b1C3cOFCPfXUU871VVVVJzxJvMnbp9fV1V9N5ssCA%2BtDUkmJz19NJElH2nQyuwSPAgLqQ1JFhe//Ugir3m92Cd6x2%2BtDUlmZz1%2BqVRvhH%2BHTr656O89Hr2w%2BVnx8fUgaP17KyzO7Gp/l678T/cFJjwNceeWVeuKJJ5SWlqZ///vfuv/%2B%2B3856K%2BGF%2Brq6mT7b6Kura3VrFmzNOhX1yx6%2B%2BZ0DZq8ffquXX5xyb2k%2BpDkB7X60w%2BZX4yd%2B0E4dlFb6381wzh/GirKy/OveuF3TnpWR3JyssrKyvTyyy8rLi5Op59%2BunNdWVmZdu/e7fz622%2B/VVxcnCSpW7du2rt3r8444wznx5IlS7RhwwYDTwMAAPwak7n/f3t3H1NV/ccB/H3xCa6iKQFRYipqQhg69TKUKV2aDS6VD22IJIhFEg%2BunOmY4MoRUjjHANOYaBiySAkiWUjqtImaTkERH1BBeSoeJMyLKAr390fz/rzC1QuXy%2BEc3q/NDb/fI7w5Hsbnfr7fe47xulUoyeVylJeXo7m5Gebm5vD09MTu3buhUqk6HRsdHY2ysjIcPHgQP/zwA/z9/QEAQUFBSEtLQ05ODiorKxEfH4/ffvsNDg4OvfMdEREREfWSbi29PX7%2Bys2bN5GcnAxvb28cOHBAZ3/SY/PmzcOyZcsgl8uxZs0avPPOOwAAb29vNDY2IjExEY2NjZg0aRK2b9%2BO8ePH98o3RERERP8ZaN0fU%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%2BmD53B2JiYlBYWPjM4zQaDcLCwvDiiy8iKysL7733HsLDw1FbWwsAqK2tRVhYGBYvXoz9%2B/djzJgxCA0NhUajMTgLl96IiIgkSoxLb3V1dVi7di2qq6sxcuTIZx576tQpVFVV4ccff4RcLoeDgwNOnjyJrKwsREREYN%2B%2BfXB2dsbKlSsBAJs3b8bcuXNx%2BvRpuLq6GpSHHSUiIiLqN0pLS2FnZ4esrCxYWlo%2B89jz58/DyckJcrlcOzZz5kwUFxdr52fNmqWds7CwwOuvv66dNwQ7SkRERBJlqo5SfX09GhoadMasra1hY2Nj9OdWKpVQKpUGHdvQ0NDpa1pZWeHvv/82aN4Q0iqU7O2FTvBc9fX1yExKgq%2BvL2xEkPfZtXz/UF9fj127Mv87p73wQ2pSltZCJzCIznXaz8/pIKEDGKC%2Bvh6ZmSK5RgGgG/s3hKK9RvPzxXFOBWKq/8qkpEwkJyfrjIWHhyMiIuK5//b%2B/fuoq6vrcs7a2lqnO/Q8ra2tGDp0qM7Y0KFD0dbWZtC8IaRVKIlAQ0MDkpOToVQq%2BcPdS3hOex/Pae/i%2Bex9PKfC8vX17dT1sbY27IXg%2BfPnERAQ0OXctm3b8NZbbxmcY9iwYWhubtYZa2trg7m5uXb%2B6aKora3tuXufnsRCiYiIiLrFxsamxwWqq6srrl692is5bG1tcf36dZ2xxsZGbTZbW1s0NjZ2mnd0dDT4a3AzNxEREYmSi4sLSktLcf/%2Bfe3Y2bNn4eLiop0/e/asdq61tRWXLl3SzhuChRIRERGJRlNTE1paWgAACoUCdnZ2iIyMxLVr15CSkoILFy7g/fffBwAsWbIE586dQ0pKCq5du4bIyEiMHTvW4FsDAMCgL7744gtTfCOk3/Dhw6FQKDB8%2BHCho0gGz2nv4zntXTyfvY/nVPrS0tKgUCh0lspUKhXu378PV1dXmJmZwd3dHb/%2B%2BisSExNRV1eHuLg4ODk5AQBGjhwJJycnpKSkYNeuXRg9ejS2bNmCUaNGGZxBpunO7SmJiIiIBhAuvRERERHpwUKJiIiISA8WSkRERER6sFAiIiIi0oOFEhEREZEeLJSIiIiI9GChRERERKQHCyUiIiIiPVgoEREREenBQomIiIhIDxZKJErJyclobW3tNK5WqxEXFydAIiJdZ86cwaNHjzqNt7W14dChQwIkIqKe4LPeTESpVEImkxl07OHDh02cRhrKy8tx%2B/ZtAEBAQACSkpI6PdiwrKwM8fHxKC4uFiKiaC1fvrzL61Umk2HIkCGwtraGl5cX5s2bJ0A6cXJ0dERhYSHGjBmjM15aWgo/Pz9cuHBBoGTidffuXeTm5qKiogKhoaE4f/48HBwcMG7cOKGjkYQNFjqAVEVERGg/rqysRFpaGvz8/DBt2jQMGTIEly5dQnp6OgIDAwVMKS719fVYsWKF9u/h4eGdjrGwsOA57YHZs2cjJSUFb7/9NqZPnw6NRoPS0lLk5eXh3Xffhbm5OdasWYPIyEgsWbJE6Lj9VkZGBjZt2gSZTAaNRoO5c%2Bd2edycOXP6OJn4lZWVITAwEHZ2dtqPCwoKkJ%2Bfj%2B%2B%2B%2Bw4KhULoiCRR7Cj1gcWLFyM4OBheXl4644cOHUJCQgIOHDggUDLxUiqV2L9/f6dX69Qzfn5%2B8PHxgb%2B/v874Tz/9hF9%2B%2BQV79%2B5FQUEBtm7divz8fIFSisOZM2fQ0dGBwMDATl1PmUwGCwsLTJkyBUOHDhUwpfgEBARg1qxZWL16NWbMmIHc3FzY29sjPj4ef/75J/bv3y90RJIodpT6QEVFBaZMmdJp3N7eHjU1NQIkEr8jR47onauvr4eNjU0fphG/S5cuYfPmzZ3GFQoFYmJiAADOzs7466%2B/%2Bjqa6MyePRsAkJubi8mTJ3e5pHn9%2BnVMmjSpr6OJWklJifZafNLSpUuxd%2B9eARLRQMHN3H1g5syZiI2NRV1dnXasqqoKMTExcHd3FzCZeJWXlyM0NBQLFiyAp6cnPD09oVQq4e7uDg8PD6Hjic7UqVORnp6OpxvMGRkZ2l/oJSUleOmll4SIJ0ohISE4efKkztjDhw%2BRkJCARYsWCZRKvMaMGYOKiopO4%2BfOnYOVlZUAiWigYEepD8TGxmL16tWYP38%2BXnjhBWg0Gty5cwdubm5dvkKi54uOjkZ7ezs%2B/PBDxMbGYt26daipqUFGRga%2B%2BuoroeOJTnR0NIKDg3H06FE4OTkBAC5fvgy1Wo0dO3bg7Nmz%2BPzzz7Fx40aBk4rHwoULsWrVKixcuBDr16/HlStXEBUVhQcPHmDLli1CxxOd4OBgREVFISQkBBqNBqdOnUJ2djbS0tLw2WefCR2PJIx7lEyktrYWdnZ2kMlkqK2tBQDcu3cPx44dg0wmg4eHB8zNzQEAL7/8spBRRemNN95AZmYmHB0d4efnh9WrV8PNzQ379u1DTk4OW/E9oFarkZeXh7KyMgwaNAiTJ0%2BGSqWCXC5HdXU11Go1pk6dKnRMUbl%2B/TqioqJQUVGBlpYWfPTRR1i1ahUsLCyEjiZKR44cQWpqKm7cuIH29nZMmDABK1asgLe3t9DRSMLYUTIRpVKJwsJCWFlZ6dwq4HFdGh8fD41GA5lMhsuXLwsZVZQGDx4MS0tLAMDEiRNx%2BfJluLm5Yc6cOfj6668FTidOI0aMgK%2Bvb5dzY8eO7eM00lBRUYHGxkaMHj0ajx49wtWrV9HU1IRXXnlF6GiipFQqoVQqhY5BAwwLJRM5fPiw9h1ZvE9S75sxYwZSU1Oxfv16ODs7Iy8vD0FBQbh48SKGDRsmdDzRqampQUJCAkpKSvDo0aNOe5V4DXdfYGAgiouLsWrVKgQHB6OpqQmbNm2CSqVCcHAwwsLChI4oOvv27UNmZiZu3LgBMzMzvPbaa/jggw/YUSKTYqFkIk%2B%2BYuSrx94XGRmJTz75BPb29li6dCn27NkDhUKBe/fuITQ0VOh4orNu3Tr8888/8Pf3x4gRI4SOIwkdHR3Izs7GxIkTAQC2trbYtm0bCgoKEBMTw0Kpm3bs2IGdO3ciMDAQYWFhaG9vR0lJCaKjo9Hc3Ixly5YJHZEkinuUSDQe7/V6rKOjAw8ePICFhQVaWlpw%2BvRpODs7w9ramvu%2BumnatGnIzs7mW9b7iFqtZkHaTe7u7vjyyy/h6empM37w4EFs3rwZR48eFSYYSR47SiQahjwWhvu%2Bemb8%2BPFoamoSOobk5Obm4vvvv0dlZSWys7OxZ88eWFtb4%2BOPPxY6mug8fPiwy%2B78xIkT0dLSIkAiGihYKJFocJ%2BM6Tx%2B63VQUBBeffVVDBkyRGf%2B8U0UyXAZGRn49ttvERISgvj4eAD/3bQzNjYWbW1tXT6Ch/QLDw9HVFQUYmNjtTfwra2tRVxcHJcxyaS49EZEz3zbPzt0PePl5YX169fDw8ND55Ebx44dw8aNG3Hs2DGhI4rK/Pnzcfv2bbS3t0Mul2Pw4MH4999/tV3kJ/F6pd7EjhLRAPXknq/Dhw9rH%2BT6tOctd1LXamtr4eDg0Gnc3t4ezc3NAiQSt8ddOaK%2BxkKJaIAyZM/XY3yF3n0uLi7IyclBRESEdkyj0WDXrl2YNm2agMnE6dSpU1CpVF0Wn0SmxKU3ogGqOw9k5i0uuu/atWsIDg6GlZUVrly5Ajc3N9y8eROtra3YuXMnHB0dhY4oKiEhISgsLMSECROgUqng7e0Ne3t7oWPRAMBCiYjIBCIjI7Fhwwbk5%2BfrPHJj/vz5iIuLQ2JiotARRUetVuP3339Hfn4%2BTpw4galTp0KlUsHLywu2trZCxyOJYqFERNRLioqKcOvWLQD/L5Sevl9SeXk50tPTce7cOSEiSsbdu3eRmpqK3bt34%2BHDh5g5cyZ8fX3h4%2BMjdDSSGO5RIiLqJRYWFkhKSoJGo4FGo8HOnTthZmamnZfJZJDL5Vi7dq2AKcWtqKgI%2Bfn5KCgowJ07d7BgwQJ4e3ujoaEBW7duxR9//IFvvvlG6JgkIewoERGZwPLly5GcnIxRo0YJHUUSYmJicOjQIdy%2BfRvz5s2DSqWCp6enzrMd8/LyEBUVhaKiIgGTktSwUCIion5v5cqV8PDwwKJFi2Bpaakdv3PnDqKjo5GYmIjKykpUV1djzpw5AiYlqeHSGxER9UtP7vk6efIk3nzzzU536C8vL8fx48cBAOPGjcO4ceP6PCdJGwslIiLql57e85Wamso9X9TnuPRGRET9Hvd8kVBYKBERERHpYfb8Q4iIiIgGJhZKRERERHqwUCIiIiLSg4USERERkR4slIiIiIj0YKFEREREpAcLJSIiIiI9/gdqN2IfoEjfDQAAAABJRU5ErkJggg%3D%3D\" class=\"center-img\">\n",
"</div>\n",
" <div class=\"row headerrow highlight\">\n",
" <h1>Sample</h1>\n",
" </div>\n",
" <div class=\"row variablerow\">\n",
" <div class=\"col-md-12\" style=\"overflow:scroll; width: 100%%; overflow-y: hidden;\">\n",
" <table border=\"1\" class=\"dataframe sample\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>id</th>\n",
" <th>lat</th>\n",
" <th>lng</th>\n",
" <th>text</th>\n",
" <th>type</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>59.962334</td>\n",
" <td>30.269297</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>60.022772</td>\n",
" <td>30.285777</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3</td>\n",
" <td>59.999606</td>\n",
" <td>30.135401</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>59.904712</td>\n",
" <td>30.221232</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>239</td>\n",
" <td>59.921235</td>\n",
" <td>30.271014</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
" </div>\n",
"</div>\n",
"</div>"
],
"text/plain": [
"<pandas_profiling.ProfileReport at 0x7f97a79849b0>"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": []
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"ExecuteTime": {
"end_time": "2019-02-01T09:11:28.384326Z",
"start_time": "2019-02-01T09:11:27.180501Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"<iframe id=\"map\", srcdoc=\"<!DOCTYPE html>\n",
"<html>\n",
"<head>\n",
"<title>mapboxgl-jupyter viz</title>\n",
"<meta charset='UTF-8' />\n",
"<meta name='viewport'\n",
" content='initial-scale=1,maximum-scale=1,user-scalable=no' />\n",
"<script type='text/javascript'\n",
" src='https://api.tiles.mapbox.com/mapbox-gl-js/v0.51.0/mapbox-gl.js'></script>\n",
"<link type='text/css'\n",
" href='https://api.tiles.mapbox.com/mapbox-gl-js/v0.51.0/mapbox-gl.css' \n",
" rel='stylesheet' />\n",
"\n",
"<style type='text/css'>\n",
" body { margin:0; padding:0; }\n",
" .map { position: absolute; top:0; bottom:0; width:100%; }\n",
" .legend {\n",
" background-color: white;\n",
" color: #6e6e6e;\n",
" border-radius: 3px;\n",
" bottom: 10px;\n",
" box-shadow: 0 1px 2px rgba(0, 0, 0, 0.10);\n",
" font: 12px/20px 'Helvetica Neue', Arial, Helvetica, sans-serif;\n",
" padding: 0;\n",
" position: absolute;\n",
" right: 10px;\n",
" z-index: 1;\n",
" min-width: 100px;\n",
" }\n",
" .legend.horizontal {bottom: 10px; text-align: left;}\n",
"\n",
" /* legend header */\n",
" .legend .legend-header { border-radius: 3px 3px 0 0; background: white; }\n",
" .legend .legend-title {\n",
" padding: 6px 12px 6px 12px;\n",
" text-shadow: 0 0 2px white;\n",
" text-transform: capitalize;\n",
" text-align: center;\n",
" font-weight: bold !important;\n",
" font-size: 14px;\n",
" font: 12px/20px 'Helvetica Neue', Arial, Helvetica, sans-serif;\n",
" max-width: 160px;\n",
" }\n",
" .legend-title {padding: 6px 12px 6px 12px; text-shadow: 0 0 2px #FFF; text-transform: capitalize; text-align: center; max-width: 160px; font-size: 0.9em; font-weight: bold;}\n",
" .legend.horizontal .legend-title {text-align: left;}\n",
"\n",
" /* legend items */\n",
" .legend-content {margin: 6px 12px 6px 12px; overflow: hidden; padding: 0; float: left; list-style: none; font-size: 0.8em;}\n",
" .legend.vertical .legend-item {white-space: nowrap;}\n",
" .legend-value {display: inline-block; line-height: 18px; vertical-align: top;}\n",
" .legend.horizontal ul.legend-content li.legend-item .legend-value,\n",
" .legend.horizontal ul.legend-content li.legend-item {display: inline-block; float: left; width: 30px; margin-bottom: 0; text-align: center; height: 30px;}\n",
"\n",
" /* legend key styles */\n",
" .legend-key {display: inline-block; height: 10px;}\n",
" .legend-key.default, .legend-key.square {border-radius: 0;}\n",
" .legend-key.circle {border-radius: 50%;}\n",
" .legend-key.rounded-square {border-radius: 20%;}\n",
" .legend.vertical .legend-key {width: 10px; margin-right: 5px; margin-left: 1px;}\n",
" .legend.horizontal .legend-key {width: 30px; margin-right: 0; margin-top: 1px; float: left;}\n",
" .legend.horizontal .legend-key.square, .legend.horizontal .legend-key.rounded-square, .legend.horizontal .legend-key.circle {margin-left: 10px; width: 10px;}\n",
" .legend.horizontal .legend-key.line {margin-left: 5px;}\n",
" .legend.horizontal .legend-key.line, .legend.vertical .legend-key.line {border-radius: 10%; width: 20px; height: 3px; margin-bottom: 2px;}\n",
"\n",
" /* gradient bar alignment */\n",
" .gradient-bar {margin: 6px 12px 6px 12px;}\n",
" .legend.horizontal .gradient-bar {width: 88%; height: 10px;}\n",
" .legend.vertical .gradient-bar {width: 10px; min-height: 50px; position: absolute; bottom: 4px;}\n",
"\n",
" /* contiguous vertical bars (discrete) */\n",
" .legend.vertical.contig .legend-key {height: 15px; width: 10px;}\n",
" .legend.vertical.contig li.legend-item {height: 15px;}\n",
" .legend.vertical.contig {padding-bottom: 6px;}\n",
"\n",
"</style>\n",
"\n",
"<style>\n",
" .gradient-bar.bordered, .legend-key.bordered { border: solid grey 0.1px; }\n",
"</style>\n",
"\n",
"</head>\n",
"<body>\n",
"\n",
"<div id='map' class='map'></div>\n",
"\n",
"<script type='text/javascript'>\n",
"\n",
"var legendHeader;\n",
"\n",
"function calcColorLegend(myColorStops, title) {\n",
"\n",
" // create legend\n",
" var legend = document.createElement('div');\n",
" if ('circle' === 'contiguous-bar') {\n",
" legend.className = 'legend vertical contig';\n",
" }\n",
" else {\n",
" legend.className = 'legend vertical';\n",
" }\n",
"\n",
" legend.id = 'legend';\n",
" document.body.appendChild(legend);\n",
"\n",
" // add legend header and content elements\n",
" var mytitle = document.createElement('div'),\n",
" legendContent = document.createElement('ul');\n",
" legendHeader = document.createElement('div');\n",
" mytitle.textContent = title;\n",
" mytitle.className = 'legend-title'\n",
" legendHeader.className = 'legend-header'\n",
" legendContent.className = 'legend-content'\n",
" legendHeader.appendChild(mytitle);\n",
" legend.appendChild(legendHeader);\n",
" legend.appendChild(legendContent);\n",
"\n",
" if (false === true) {\n",
" var gradientText = 'linear-gradient(to right, ';\n",
" var gradient = document.createElement('div');\n",
" gradient.className = 'gradient-bar';\n",
" legend.appendChild(gradient);\n",
" }\n",
"\n",
" // calculate a legend entries on a Mapbox GL Style Spec property function stops array\n",
" for (p = 0; p < myColorStops.length; p++) {\n",
" if (!!document.getElementById('legend-points-value-' + p)) {\n",
" //update the legend if it already exists\n",
" document.getElementById('legend-points-value-' + p).textContent = myColorStops[p][0];\n",
" document.getElementById('legend-points-id-' + p).style.backgroundColor = myColorStops[p][1];\n",
" }\n",
" else {\n",
" // create the legend if it doesn't yet exist\n",
" var item = document.createElement('li');\n",
" item.className = 'legend-item';\n",
"\n",
" var key = document.createElement('span');\n",
" key.className = 'legend-key circle';\n",
" key.id = 'legend-points-id-' + p;\n",
" key.style.backgroundColor = myColorStops[p][1]; \n",
"\n",
" var value = document.createElement('span');\n",
" value.className = 'legend-value';\n",
" value.id = 'legend-points-value-' + p;\n",
"\n",
" item.appendChild(key);\n",
" item.appendChild(value);\n",
" legendContent.appendChild(item);\n",
" \n",
" data = document.getElementById('legend-points-value-' + p)\n",
"\n",
" // round number values in legend if precision defined\n",
" if ((typeof(myColorStops[p][0]) == 'number') && (typeof(null) == 'number')) {\n",
" data.textContent = myColorStops[p][0].toFixed(null);\n",
" }\n",
" else {\n",
" data.textContent = myColorStops[p][0];\n",
" }\n",
"\n",
" // add color stop to gradient list\n",
" if (false === true) {\n",
" if (p < myColorStops.length - 1) {\n",
" gradientText = gradientText + myColorStops[p][1] + ', ';\n",
" }\n",
" else {\n",
" gradientText = gradientText + myColorStops[p][1] + ')';\n",
" }\n",
" if ('vertical' === 'vertical') {\n",
" gradientText = gradientText.replace('to right', 'to bottom');\n",
" }\n",
" }\n",
" }\n",
" }\n",
"\n",
" if (false === true) {\n",
" // convert to gradient scale appearance\n",
" gradient.style.background = gradientText;\n",
"\n",
" // hide legend keys generated above\n",
" var keys = document.getElementsByClassName('legend-key');\n",
" for (var i=0; i < keys.length; i++) {\n",
" keys[i].style.visibility = 'hidden';\n",
" }\n",
"\n",
" if ('vertical' === 'vertical') {\n",
" gradient.style.height = (legendContent.offsetHeight - 6) + 'px';\n",
" }\n",
" }\n",
"\n",
" // add class for styling bordered legend keys\n",
" if (true) {\n",
" var keys = document.getElementsByClassName('legend-key');\n",
" for (var i=0; i < keys.length; i++) {\n",
" if (keys[i]) {\n",
" keys[i].classList.add('bordered');\n",
" }\n",
" }\n",
" var gradientBars = document.getElementsByClassName('gradient-bar');\n",
" for (var i=0; i < keys.length; i++) {\n",
" if (gradientBars[i]) {\n",
" gradientBars[i].classList.add('bordered');\n",
" }\n",
" }\n",
" }\n",
"\n",
" // update right-margin for compact Mapbox attribution based on calculated legend width\n",
" var attribMargin = legend.offsetWidth + 15;\n",
" document.getElementsByClassName('mapboxgl-ctrl-attrib')[0].style.marginRight = attribMargin.toString() + 'px';\n",
"\n",
"}\n",
"\n",
"\n",
"function generateInterpolateExpression(propertyValue, stops) {\n",
" var expression;\n",
" if (propertyValue == 'zoom') {\n",
" expression = ['interpolate', ['exponential', 1.2], ['zoom']]\n",
" }\n",
" else if (propertyValue == 'heatmap-density') {\n",
" expression = ['interpolate', ['linear'], ['heatmap-density']]\n",
" }\n",
" else {\n",
" expression = ['interpolate', ['linear'], ['get', propertyValue]]\n",
" }\n",
"\n",
" for (var i=0; i<stops.length; i++) {\n",
" expression.push(stops[i][0], stops[i][1])\n",
" }\n",
" return expression\n",
"}\n",
"\n",
"\n",
"function generateMatchExpression(propertyValue, stops, defaultValue) {\n",
" var expression;\n",
" expression = ['match', ['get', propertyValue]]\n",
" for (var i=0; i<stops.length; i++) {\n",
" expression.push(stops[i][0], stops[i][1])\n",
" }\n",
" expression.push(defaultValue)\n",
" \n",
" return expression\n",
"}\n",
"\n",
"\n",
"function generatePropertyExpression(expressionType, propertyValue, stops, defaultValue) {\n",
" var expression;\n",
" if (expressionType == 'match') {\n",
" expression = generateMatchExpression(propertyValue, stops, defaultValue)\n",
" }\n",
" else {\n",
" expression = generateInterpolateExpression(propertyValue, stops)\n",
" }\n",
"\n",
" return expression\n",
"}\n",
"\n",
"</script>\n",
"\n",
"<!-- main map creation code, extended by mapboxgl/templates/circle.html -->\n",
"<script type='text/javascript'>\n",
"\n",
" mapboxgl.accessToken = 'pk.eyJ1IjoiaWlpaSIsImEiOiJjanJmc3lxZXgyNmFxNDluMHYxN3RjNTY1In0.AeYr_MhNOXwz0plMPv9V-A';\n",
"\n",
" var map = new mapboxgl.Map({\n",
" container: 'map',\n",
" attributionControl: false,\n",
" style: 'mapbox://styles/mapbox/light-v9?optimize=true',\n",
" center: [30.3, 60],\n",
" zoom: 9,\n",
" pitch: 0,\n",
" bearing: 0,\n",
" scrollZoom: true,\n",
" touchZoom: true,\n",
" doubleClickZoom: true,\n",
" boxZoom: true,\n",
" transformRequest: (url, resourceType) => {\n",
" if ( url.slice(0,22) == 'https://api.mapbox.com' || \n",
" url.slice(0,26) == 'https://a.tiles.mapbox.com' || \n",
" url.slice(0,26) == 'https://b.tiles.mapbox.com' ||\n",
" url.slice(0,26) == 'https://c.tiles.mapbox.com' ||\n",
" url.slice(0,26) == 'https://d.tiles.mapbox.com') {\n",
" //Add Mapboxgl-Jupyter Plugin identifier for Mapbox API traffic\n",
" return {\n",
" url: [url.slice(0, url.indexOf('?')+1), 'pluginName=PythonMapboxgl&', url.slice(url.indexOf('?')+1)].join('')\n",
" }\n",
" }\n",
" else {\n",
" //Do not transform URL for non Mapbox GET requests\n",
" return {url: url}\n",
" }\n",
" },\n",
" });\n",
"\n",
" \n",
" \n",
" map.addControl(new mapboxgl.AttributionControl({ compact: true }));\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" map.addControl(new mapboxgl.NavigationControl());\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" \n",
" \n",
" calcColorLegend([[0, 'rgb(255,255,178)'], [1, 'rgb(254,217,118)'], [2, 'rgb(254,178,76)'], [3, 'rgb(253,141,60)'], [4, 'rgb(240,59,32)'], [5, 'rgb(189,0,38)']] , 'type');\n",
" \n",
" \n",
" \n",
"\n",
"\n",
" \n",
"\n",
" map.on('style.load', function() {\n",
" \n",
" \n",
"\n",
" map.addSource('data', {\n",
" 'type': 'geojson',\n",
" 'data': {'type': 'FeatureCollection', 'features': [{'id': '0', 'type': 'Feature', 'properties': {'id': 1, 'lat': 59.962333971311956, 'lng': 30.269297227050743, 'text': 0, 'type': 4}, 'geometry': {'type': 'Point', 'coordinates': [30.269297227050743, 59.962333971311956]}, 'bbox': [30.269297227050743, 59.962333971311956, 30.269297227050743, 59.962333971311956]}, {'id': '1', 'type': 'Feature', 'properties': {'id': 2, 'lat': 60.02277235858026, 'lng': 30.285776719238243, 'text': 0, 'type': 0}, 'geometry': {'type': 'Point', 'coordinates': [30.285776719238243, 60.02277235858026]}, 'bbox': [30.285776719238243, 60.02277235858026, 30.285776719238243, 60.02277235858026]}, {'id': '2', 'type': 'Feature', 'properties': {'id': 3, 'lat': 59.99960591288211, 'lng': 30.135401353027305, 'text': 0, 'type': 3}, 'geometry': {'type': 'Point', 'coordinates': [30.135401353027305, 59.99960591288211]}, 'bbox': [30.135401353027305, 59.99960591288211, 30.135401353027305, 59.99960591288211]}, {'id': '3', 'type': 'Feature', 'properties': {'id': 4, 'lat': 59.90471190044602, 'lng': 30.221232041503868, 'text': 0, 'type': 0}, 'geometry': {'type': 'Point', 'coordinates': [30.221232041503868, 59.90471190044602]}, 'bbox': [30.221232041503868, 59.90471190044602, 30.221232041503868, 59.90471190044602]}, {'id': '4', 'type': 'Feature', 'properties': {'id': 239, 'lat': 59.92123472771715, 'lng': 30.271013840820274, 'text': 0, 'type': 0}, 'geometry': {'type': 'Point', 'coordinates': [30.271013840820274, 59.92123472771715]}, 'bbox': [30.271013840820274, 59.92123472771715, 30.271013840820274, 59.92123472771715]}, {'id': '5', 'type': 'Feature', 'properties': {'id': 240, 'lat': 59.9463474331961, 'lng': 30.358904465820274, 'text': 0, 'type': 1}, 'geometry': {'type': 'Point', 'coordinates': [30.358904465820274, 59.9463474331961]}, 'bbox': [30.358904465820274, 59.9463474331961, 30.358904465820274, 59.9463474331961]}, {'id': '6', 'type': 'Feature', 'properties': {'id': 241, 'lat': 59.862334604700116, 'lng': 30.394610032226524, 'text': 0, 'type': 2}, 'geometry': {'type': 'Point', 'coordinates': [30.394610032226524, 59.862334604700116]}, 'bbox': [30.394610032226524, 59.862334604700116, 30.394610032226524, 59.862334604700116]}, {'id': '7', 'type': 'Feature', 'properties': {'id': 242, 'lat': 59.97075388439685, 'lng': 30.282686814453086, 'text': 0, 'type': 4}, 'geometry': {'type': 'Point', 'coordinates': [30.282686814453086, 59.97075388439685]}, 'bbox': [30.282686814453086, 59.97075388439685, 30.282686814453086, 59.97075388439685]}, {'id': '8', 'type': 'Feature', 'properties': {'id': 243, 'lat': 59.95075059868278, 'lng': 30.4756342021484, 'text': 0, 'type': 3}, 'geometry': {'type': 'Point', 'coordinates': [30.4756342021484, 59.95075059868278]}, 'bbox': [30.4756342021484, 59.95075059868278, 30.4756342021484, 59.95075059868278]}, {'id': '9', 'type': 'Feature', 'properties': {'id': 244, 'lat': 59.97721522712001, 'lng': 30.20921574511715, 'text': 0, 'type': 2}, 'geometry': {'type': 'Point', 'coordinates': [30.20921574511715, 59.97721522712001]}, 'bbox': [30.20921574511715, 59.97721522712001, 30.20921574511715, 59.97721522712001]}, {'id': '10', 'type': 'Feature', 'properties': {'id': 245, 'lat': 59.99603871769205, 'lng': 30.372637375976524, 'text': 0, 'type': 0}, 'geometry': {'type': 'Point', 'coordinates': [30.372637375976524, 59.99603871769205]}, 'bbox': [30.372637375976524, 59.99603871769205, 30.372637375976524, 59.99603871769205]}, {'id': '11', 'type': 'Feature', 'properties': {'id': 246, 'lat': 59.91070778455491, 'lng': 30.4756342021484, 'text': 0, 'type': 3}, 'geometry': {'type': 'Point', 'coordinates': [30.4756342021484, 59.91070778455491]}, 'bbox': [30.4756342021484, 59.91070778455491, 30.4756342021484, 59.91070778455491]}, {'id': '12', 'type': 'Feature', 'properties': {'id': 247, 'lat': 59.95508622219477, 'lng': 30.11377201953121, 'text': 0, 'type': 2}, 'geometry': {'type': 'Point', 'coordinates': [30.11377201953121, 59.95508622219477]}, 'bbox': [30.11377201953121, 59.95508622219477, 30.11377201953121, 59.95508622219477]}, {'id': '13', 'type': 'Feature', 'properties': {'id': 248, 'lat': 59.88005547707959, 'lng': 30.208529099609336, 'text': 0, 'type': 1}, 'geometry': {'type': 'Point', 'coordinates': [30.208529099609336, 59.88005547707959]}, 'bbox': [30.208529099609336, 59.88005547707959, 30.208529099609336, 59.88005547707959]}, {'id': '14', 'type': 'Feature', 'properties': {'id': 249, 'lat': 59.94402953740539, 'lng': 30.29651913334351, 'text': 1, 'type': 0}, 'geometry': {'type': 'Point', 'coordinates': [30.29651913334351, 59.94402953740539]}, 'bbox': [30.29651913334351, 59.94402953740539, 30.29651913334351, 59.94402953740539]}, {'id': '15', 'type': 'Feature', 'properties': {'id': 250, 'lat': 59.918309409589206, 'lng': 30.11033879199215, 'text': 0, 'type': 4}, 'geometry': {'type': 'Point', 'coordinates': [30.11033879199215, 59.918309409589206]}, 'bbox': [30.11033879199215, 59.918309409589206, 30.11033879199215, 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theotheo commented Feb 1, 2019

Там должна быть карта, но gist не дает.
selection_521

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