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antvconst/clf1.ipynb

Created July 3, 2018 19:35
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clf1.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from pandas_profiling import ProfileReport as profile\n",
"import pandas as pd\n",
"import numpy as np\n",
"import seaborn as sns\n",
"import scipy.stats as stats\n",
"import matplotlib.pyplot as plt\n",
"\n",
"from sklearn.preprocessing import LabelEncoder, OneHotEncoder, Imputer, StandardScaler\n",
"from sklearn.base import BaseEstimator, TransformerMixin\n",
"from sklearn.model_selection import train_test_split, cross_val_score\n",
"from sklearn.pipeline import make_pipeline\n",
"from sklearn.metrics import f1_score\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.neighbors import KNeighborsClassifier\n",
"\n",
"import warnings\n",
"warnings.filterwarnings('ignore')\n",
"\n",
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# EDA и подготовка данных"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Загрузим данные."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv('dataset_57_hypothyroid.csv', na_values='?')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Датасет содержит множество неинформативных признаков вроде **X_measured**. Эта же информация кодируется пропусками в соответствующих столбцах, так что можно их просто дропнуть. Аналогичным образом поступим с признаком **TBG**, содержащим 100% пропусков. Также удалим признак **referral_source**, не имеющий отношения, собственно, к предсказаниям."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"df.drop(columns=['TSH_measured',\n",
" 'T3_measured',\n",
" 'TT4_measured',\n",
" 'T4U_measured',\n",
" 'FTI_measured',\n",
" 'TBG_measured',\n",
" 'TBG',\n",
" 'referral_source'], inplace=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Численные признаки сделаем численными. Категориальные - категориальными."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"numeric_cols = ['age', 'TSH', 'T3', 'TT4', 'T4U', 'FTI']\n",
"categorical_cols = [col for i, col in enumerate(df.columns) if col not in numeric_cols]\n",
"categorical_indices = [i for i, col in enumerate(df.columns) if col not in numeric_cols][:-1]\n",
"\n",
"for col in numeric_cols:\n",
" df[col] = pd.to_numeric(df[col], errors='coerce')\n",
" \n",
"for col in categorical_cols:\n",
" df[col] = df[col].astype('category')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Посмотрим, что покажет профайлер."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
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"<meta charset=\"UTF-8\">\n",
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"\n",
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" .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",
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" padding: 0 ;\n",
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" }\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",
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"\n",
"\n",
" /* Sample table */\n",
" table.sample {\n",
" border: 0;\n",
" margin-bottom: 2em;\n",
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" }\n",
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" .sample td, .sample th{\n",
" padding: 0.5em;\n",
" white-space: nowrap;\n",
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"\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>22 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Number of observations</th>\n",
" <td>3772 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Total Missing (%)</th>\n",
" <td>2.8% </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Total size in memory</th>\n",
" <td>237.4 KiB </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Average record size in memory</th>\n",
" <td>64.5 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>6 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Categorical</th>\n",
" <td>16 </td>\n",
" </tr>\n",
" <tr>\n",
" <th>Boolean</th>\n",
" <td>0 </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_FTI\"><code>FTI</code></a> has 385 / 10.2% missing values <span class=\"label label-default\">Missing</span></li><li><a href=\"#pp_var_T3\"><code>T3</code></a> has 769 / 20.4% missing values <span class=\"label label-default\">Missing</span></li><li><a href=\"#pp_var_T4U\"><code>T4U</code></a> has 387 / 10.3% missing values <span class=\"label label-default\">Missing</span></li><li><a href=\"#pp_var_TSH\"><code>TSH</code></a> has 369 / 9.8% missing values <span class=\"label label-default\">Missing</span></li><li><a href=\"#pp_var_TT4\"><code>TT4</code></a> has 231 / 6.1% missing values <span class=\"label label-default\">Missing</span></li><li><a href=\"#pp_var_sex\"><code>sex</code></a> has 150 / 4.0% missing values <span class=\"label label-default\">Missing</span></li><li>Dataset has 61 duplicate rows <span class=\"label label-warning\">Warning</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_Class\">Class<br/>\n",
" <small>Categorical</small>\n",
" </p>\n",
" </div><div class=\"col-md-3\">\n",
" <table class=\"stats \">\n",
" <tr class=\"\">\n",
" <th>Distinct count</th>\n",
" <td>4</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-md-6 collapse in\" id=\"minifreqtable-7309515020330027374\">\n",
" <table class=\"mini freq\">\n",
" <tr class=\"\">\n",
" <th>negative</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: 92.3%\">\n",
" 3481\n",
" </div>\n",
" \n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <th>compensated_hypothyroid</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:6%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 5.1%\">\n",
" &nbsp;\n",
" </div>\n",
" 194\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <th>primary_hypothyroid</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 2.5%\">\n",
" &nbsp;\n",
" </div>\n",
" 95\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-7309515020330027374, #minifreqtable-7309515020330027374\"\n",
" aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-7309515020330027374\">\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\">negative</td>\n",
" <td class=\"number\">3481</td>\n",
" <td class=\"number\">92.3%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">compensated_hypothyroid</td>\n",
" <td class=\"number\">194</td>\n",
" <td class=\"number\">5.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">primary_hypothyroid</td>\n",
" <td class=\"number\">95</td>\n",
" <td class=\"number\">2.5%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">secondary_hypothyroid</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>\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_FTI\">FTI<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>235</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Unique (%)</th>\n",
" <td>6.2%</td>\n",
" </tr>\n",
" <tr class=\"alert\">\n",
" <th>Missing (%)</th>\n",
" <td>10.2%</td>\n",
" </tr>\n",
" <tr class=\"alert\">\n",
" <th>Missing (n)</th>\n",
" <td>385</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>110.47</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>395</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-6011759704727710138\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAAdJJREFUeJzt3bHK01AYx%2BE3xbXpXpqLELwFwQtyE9wcvRR3V3fvoqUXkODgYOOgdRH%2BfP3gO2nK86ylvKdwfhwSQtrN8zxXY6fTqYZhaD2WlTsej3U4HJrOfNV02l/b7baq/vzgvu%2BXWAIrMo5jDcPwb9%2B0tEggXddVVVXf94sF8ubD15u/8/3TuxdYCU913TctbZpPhBURCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgWCRd/Ou1a3v8/Uu3/VzgkAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAge4lGT5/ylMzyFEwQCgUAgEAge4hrkXj3n2sgj8vfFCQLB3Z0g7khxTxYJZJ7nqqoax/G/z379/NF6OXfl9fsvN3/n28e3L7CS%2B3HdJ9d909IigUzTVFVVwzAsMf7h7D4vvYI2pmmq3W7XdGY3L5Dl5XKp8/lc2%2B22uq5rPZ6Vmee5pmmq/X5fm03by%2BZFAoG1cBcLAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgeA3Y6dJR4B/uX0AAAAASUVORK5CYII%3D\">\n",
"\n",
"</div>\n",
"<div class=\"col-md-12 text-right\">\n",
" <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-6011759704727710138,#minihistogram-6011759704727710138\"\n",
" aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"row collapse col-md-12\" id=\"descriptives-6011759704727710138\">\n",
" <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
" <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-6011759704727710138\"\n",
" aria-controls=\"quantiles-6011759704727710138\" role=\"tab\"\n",
" data-toggle=\"tab\">Statistics</a></li>\n",
" <li role=\"presentation\"><a href=\"#histogram-6011759704727710138\" aria-controls=\"histogram-6011759704727710138\"\n",
" role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
" <li role=\"presentation\"><a href=\"#common-6011759704727710138\" aria-controls=\"common-6011759704727710138\"\n",
" role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
" <li role=\"presentation\"><a href=\"#extreme-6011759704727710138\" aria-controls=\"extreme-6011759704727710138\"\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-6011759704727710138\">\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>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5-th percentile</th>\n",
" <td>68</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q1</th>\n",
" <td>93</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Median</th>\n",
" <td>107</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q3</th>\n",
" <td>124</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95-th percentile</th>\n",
" <td>166</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>395</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Range</th>\n",
" <td>393</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Interquartile range</th>\n",
" <td>31</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>33.09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Coef of variation</th>\n",
" <td>0.29954</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Kurtosis</th>\n",
" <td>7.8746</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>110.47</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MAD</th>\n",
" <td>22.773</td>\n",
" </tr>\n",
" <tr class=\"\">\n",
" <th>Skewness</th>\n",
" <td>1.3454</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sum</th>\n",
" <td>374160</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Variance</th>\n",
" <td>1094.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory size</th>\n",
" <td>29.5 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-6011759704727710138\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAIABJREFUeJzt3X9YlfX9x/HXSeGIDE4gwoH8EeurLkUtoSlaibZQ8secbeVwDKpRzl%2BZ%2Bi3Jq6YtxfV7y%2BVa69fKDdtVuTaNgWWol6CCUv6asyLBBFHDg7o8IN7fP7q8vx7BH9UtN%2Bf4fFzXfV3c9/257/N%2Bd1O8%2Bpz73MdhGIYhAAAAWOYyuwsAAAAINAQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAi7W3u4BLwcmTJ7Vv3z6FhYXJ4XDYXQ4AAJcEwzB05MgRxcXF6bLLWndOiYDVCvbt26euXbvaXQYAAJekqqoqdenSpVVfk4DVCsLCwiR9dYHDw8NtrgYAgEtDfX29unbtav4dbk0ErFZw6m3B8PBwAhYAAK3MjttzuMkdAADAYgQsAAAAixGwAAAALEbAAgAAsJjfBqzc3Fxdd911CgsLU3R0tMaNG6ddu3b5jPF6vZo2bZqioqIUGhqqsWPHau/evT5jKisrNWbMGIWGhioqKkrTp09XQ0ODz5iioiIlJiaqQ4cO%2Bu53v6s//OEPF70/AADgv/w2YBUVFWnKlCkqKSlRYWGhTpw4odTUVB07dswcM2PGDL399tvKy8vTunXrdPToUY0ePVpNTU2SpKamJo0aNUrHjh3TunXrlJeXpzfffFOzZs0yz1FRUaFbbrlFN9xwg7Zs2aIHH3xQ06dP15tvvtnqPQMAAP/gMAzDsLsIKxw4cEDR0dEqKirSjTfeKI/Ho86dO%2Bu1117T7bffLun/H/i5cuVKjRgxQu%2B%2B%2B65Gjx6tqqoqxcXFSZLy8vKUlZWl2tpahYeH64EHHtA777yjnTt3mq81adIkffjhhyouLr6g2urr6%2BVyueTxeHhMAwAArcTOv79%2BO4N1Jo/HI0mKjIyUJJWVlamxsVGpqanmmLi4OCUkJGj9%2BvWSpOLiYiUkJJjhSpJGjBghr9ersrIyc8zp5zg1prS0VI2NjRe1JwAA4J8C4kGjhmFo5syZuv7665WQkCBJqqmpUXBwsCIiInzGxsTEqKamxhwTExPjsz8iIkLBwcHnHBMTE6MTJ07o4MGDio2NbVaP1%2BuV1%2Bs11%2Bvr6799kwAAwG8ExAzW1KlT9dFHH%2Bmvf/3reccahuHzRNeWnu56vjGn3lU925Nhc3Nz5XK5zIXvIQQA4NLi9wFr2rRpeuedd7R69WqfL3J0u91qaGhQXV2dz/ja2lpzRsrtdpszVafU1dWpsbHxnGNqa2vVvn17derUqcWacnJy5PF4zKWqqupb9wkAAPyH3wYswzA0depUvfXWW3r//fcVHx/vsz8xMVFBQUEqLCw0t1VXV2vbtm0aPHiwJCk5OVnbtm1TdXW1OaagoEBOp1OJiYnmmNPPcWpMUlKSgoKCWqzN6XSa3zvI9w8CAHDp8dtPEU6ePFl/%2Bctf9Pe//129evUyt7tcLoWEhEiSfvnLX%2Bqf//ynXnnlFUVGRmr27Nk6dOiQysrK1K5dOzU1Nemaa65RTEyMHn/8cX3xxRfKysrSuHHj9Oyzz0r66jENCQkJuueee5Sdna3i4mJNmjRJf/3rX3XrrbdeUK18itA/Jc3Nt7uEr6V0wUi7SwCANoVPEX4DS5YskcfjUUpKimJjY81l2bJl5pinn35a48aN02233aYhQ4aoY8eO%2Bsc//qF27dpJktq1a6cVK1aoQ4cOGjJkiG677TaNGzdOTzzxhHmO%2BPh4rVy5Uh988IGuueYa/frXv9bvfve7Cw5XAADg0uO3M1j%2BhBks/8QMFgD4N2awAAAAAggBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACzm1wFrzZo1GjNmjOLi4uRwOLR8%2BXKf/Q6Ho8Xl8ccfN8dceeWVzfbPmTPH5zyVlZUaM2aMQkNDFRUVpenTp6uhoaFVegQAAP6nvd0FfBvHjh1T//79dccdd%2BjWW29ttr%2B6utpn/d1339Vdd93VbOwjjzyi7Oxsc/073/mO%2BXNTU5NGjRqlzp07a926dTp06JAyMzNlGIaeffZZizsCAACBwK8DVlpamtLS0s663%2B12%2B6z//e9/17Bhw/Td737XZ3tYWFizsacUFBRox44dqqqqUlxcnCTpySefVFZWlhYsWKDw8PBv2QUAAAg0fv0W4dexf/9%2BrVixQnfddVezfb/5zW/UqVMnXXPNNVqwYIHP23/FxcVKSEgww5UkjRgxQl6vV2VlZS2%2BltfrVX19vc8CAAAuHX49g/V1vPrqqwoLC9P48eN9tt97770aMGCAIiIitHHjRuXk5KiiokJ/%2BtOfJEk1NTWKiYnxOSYiIkLBwcGqqalp8bVyc3M1f/78i9MIAABo8y6ZgPXSSy9p4sSJ6tChg8/2%2B%2B67z/y5X79%2BioiI0I9//GNzVkv66mb5MxmG0eJ2ScrJydHMmTPN9fr6enXt2tWKNgAAgB%2B4JALW2rVrtWvXLi1btuy8YwcNGiRJ%2Bvjjj9WpUye53W5t2LDBZ0xdXZ0aGxubzWyd4nQ65XQ6v33hAADAL10S92C9%2BOKLSkxMVP/%2B/c87dsuWLZKk2NhYSVJycrK2bdvm84nEgoICOZ1OJSYmXpyCAQCAX/PrGayjR4/q448/NtcrKipUXl6uyMhIdevWTdJXb8/97W9/05NPPtns%2BOLiYpWUlGjYsGFyuVzatGmT7rvvPo0dO9Y8PjU1Vb1791ZGRoYef/xxffHFF5o9e7ays7P5BCEAAGiRXwes0tJSDRs2zFw/dd9TZmamXnnlFUlSXl6eDMPQT3/602bHO51OLVu2TPPnz5fX61X37t2VnZ2t%2B%2B%2B/3xzTrl07rVixQpMnT9aQIUMUEhKi9PR0PfHEExe3OQAA4LcchmEYdhcR6Orr6%2BVyueTxeJj18iNJc/PtLuFrKV0w0u4SAKBNsfPv7yVxDxYAAEBrImABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMb8OWGvWrNGYMWMUFxcnh8Oh5cuX%2B%2BzPysqSw%2BHwWQYNGuQzxuv1atq0aYqKilJoaKjGjh2rvXv3%2BoyprKzUmDFjFBoaqqioKE2fPl0NDQ0XvT8AAOCf/DpgHTt2TP3799fixYvPOmbkyJGqrq42l5UrV/rsnzFjht5%2B%2B23l5eVp3bp1Onr0qEaPHq2mpiZJUlNTk0aNGqVjx45p3bp1ysvL05tvvqlZs2Zd1N4AAID/am93Ad9GWlqa0tLSzjnG6XTK7Xa3uM/j8ejFF1/Ua6%2B9ph/84AeSpNdff11du3bVqlWrNGLECBUUFGjHjh2qqqpSXFycJOnJJ59UVlaWFixYoPDwcGubAgAAfs%2BvZ7AuxAcffKDo6Gj17NlT2dnZqq2tNfeVlZWpsbFRqamp5ra4uDglJCRo/fr1kqTi4mIlJCSY4UqSRowYIa/Xq7KystZrBAAA%2BA2/nsE6n7S0NP3kJz9R9%2B7dVVFRoYceekjDhw9XWVmZnE6nampqFBwcrIiICJ/jYmJiVFNTI0mqqalRTEyMz/6IiAgFBwebY87k9Xrl9XrN9fr6eos7AwAAbVlAB6zbb7/d/DkhIUFJSUnq3r27VqxYofHjx5/1OMMw5HA4zPXTfz7bmNPl5uZq/vz536JyAADgzwL%2BLcLTxcbGqnv37tq9e7ckye12q6GhQXV1dT7jamtrzVkrt9vdbKaqrq5OjY2NzWa2TsnJyZHH4zGXqqqqi9ANAABoqy6pgHXo0CFVVVUpNjZWkpSYmKigoCAVFhaaY6qrq7Vt2zYNHjxYkpScnKxt27apurraHFNQUCCn06nExMQWX8fpdCo8PNxnAQAAlw6/fovw6NGj%2Bvjjj831iooKlZeXKzIyUpGRkZo3b55uvfVWxcbG6rPPPtODDz6oqKgo/ehHP5IkuVwu3XXXXZo1a5Y6deqkyMhIzZ49W3379jU/VZiamqrevXsrIyNDjz/%2BuL744gvNnj1b2dnZBCcAANAivw5YpaWlGjZsmLk%2Bc%2BZMSVJmZqaWLFmirVu36s9//rMOHz6s2NhYDRs2TMuWLVNYWJh5zNNPP6327dvrtttu05dffqmbbrpJr7zyitq1aydJateunVasWKHJkydryJAhCgkJUXp6up544onWbRYAAPgNh2EYht1FBLr6%2Bnq5XC55PB5mvfxI0tx8u0v4WkoXjLS7BABoU%2Bz8%2B3tJ3YMFAADQGghYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDG/Dlhr1qzRmDFjFBcXJ4fDoeXLl5v7Ghsb9cADD6hv374KDQ1VXFycfv7zn2vfvn0%2B57jyyivlcDh8ljlz5viMqays1JgxYxQaGqqoqChNnz5dDQ0NrdIjAADwP%2B3tLuDbOHbsmPr376877rhDt956q8%2B%2B//73v9q8ebMeeugh9e/fX3V1dZoxY4bGjh2r0tJSn7GPPPKIsrOzzfXvfOc75s9NTU0aNWqUOnfurHXr1unQoUPKzMyUYRh69tlnL26DAADAL/l1wEpLS1NaWlqL%2B1wulwoLC322Pfvss/r%2B97%2BvyspKdevWzdweFhYmt9vd4nkKCgq0Y8cOVVVVKS4uTpL05JNPKisrSwsWLFB4eLhF3QAAgEBhy1uEr7/%2Buo4fP97qr%2BvxeORwOHT55Zf7bP/Nb36jTp066ZprrtGCBQt83v4rLi5WQkKCGa4kacSIEfJ6vSorK2vxdbxer%2Brr630WAABw6bAlYM2cOVNut1v33HOPNm7c2Cqvefz4cc2ZM0fp6ek%2Bs0733nuv8vLytHr1ak2dOlXPPPOMJk%2BebO6vqalRTEyMz7kiIiIUHBysmpqaFl8rNzdXLpfLXLp27XpxmgIAAG2SLQFr3759eumll1RdXa3rr79effr00ZNPPqkDBw5clNdrbGzUhAkTdPLkST333HM%2B%2B%2B677z4NHTpU/fr10y9%2B8Qv94Q9/0IsvvqhDhw6ZYxwOR7NzGobR4nZJysnJkcfjMZeqqiprGwIAAG2aLQGrffv2Gj9%2BvN555x1VVlYqMzNTL730krp06aLx48drxYoVMgzDktdqbGzUbbfdpoqKChUWFp73nqlBgwZJkj7%2B%2BGNJktvtbjZTVVdXp8bGxmYzW6c4nU6Fh4f7LAAA4NJh%2B2Ma3G63brrpJqWkpMjhcKi0tFTp6enq0aOH1q5d%2B63OfSpc7d69W6tWrVKnTp3Oe8yWLVskSbGxsZKk5ORkbdu2TdXV1eaYgoICOZ1OJSYmfqv6AABAYLItYB08eFDPPPOM%2BvfvryFDhqi2tlbLly/Xnj179Pnnn2v06NH6%2Bc9/fs5zHD16VOXl5SovL5ckVVRUqLy8XJWVlTpx4oR%2B/OMfq7S0VEuXLlVTU5NqampUU1Nj3sReXFysp59%2BWuXl5aqoqNAbb7yhe%2B65R2PHjjU/ZZiamqrevXsrIyNDW7Zs0XvvvafZs2crOzubmSkAANAih2HVe3Ffw49%2B9COtXLlS8fHx%2BsUvfqHMzEx17tzZZ8y%2BffvUpUsXnTx58qzn%2BeCDDzRs2LBm2zMzMzVv3jzFx8e3eNzq1auVkpKizZs3a/Lkyfr3v/8tr9er7t27a8KECbr//vvVsWNHc3xlZaUmT56s999/XyEhIUpPT9cTTzwhp9N5Qf3W19fL5XLJ4/EQyvxI0tx8u0v4WkoXjLS7BABoU%2Bz8%2B2vLc7DCw8O1atUq3XDDDWcdExsbq927d5/zPCkpKee8V%2Bt82XHAgAEqKSk5d7GSunXrpn/%2B85/nHQcAACDZFLBeffXV845xOBy66qqrWqEaAAAAa9lyD9Z9992nxYsXN9v%2B%2B9//XrNmzbKhIgAAAOvYErD%2B9re/mY9DOF1ycrKWLVtmQ0UAAADWsSVgHTx4UBEREc22h4eH6%2BDBgzZUBAAAYB1bAtZVV12lf/3rX822/%2Btf/zrrJ/8AAAD8hS03uc%2BYMUMzZszQoUOHNHz4cEnSe%2B%2B9p8cee0xPPPGEHSUBAABYxpaAlZ2drePHj2vhwoX61a9%2BJUnq0qWLfve73%2BnOO%2B%2B0oyQAAADL2BKwJGnatGmaNm2aqqurFRISossvv9yuUgAAACxlW8A65dR3/gEAAAQKW25yP3DggO644w5169ZNHTp0UHBwsM8CAADgz2yZwcrKytInn3yi//3f/1VsbKwcDocdZQAAAFwUtgSsNWvWaM2aNbr22mvteHkAAICLypa3CLt06cKsFQAACFi2BKynn35aOTk52rt3rx0vDwAAcFHZ8hZhRkaGjhw5ou7duys8PFxBQUE%2B%2B2tra%2B0oCwAAwBK2BKxFixbZ8bIAAACtwpaAddddd9nxsgAAAK3ClnuwJOmzzz7TvHnzlJGRYb4lWFBQoJ07d9pVEgAAgCVsCVhr165Vnz59VFRUpDfeeENHjx6VJG3evFkPP/ywHSUBAABYxpaA9cADD2jevHlavXq1z5Pbhw8frpKSEjtKAgAAsIwtAeujjz7Sj3/842bbo6OjdeDAARsqAgAAsI4tAevyyy9XTU1Ns%2B3l5eW64oorbKgIAADAOrYErAkTJmjOnDk6cOCA%2BUT3DRs2aPbs2frZz35mR0kAAACWsSVgLVy4UG63W7GxsTp69Kh69%2B6twYMH67rrrtNDDz1kR0kAAACWseU5WMHBwVq2bJn%2B85//aPPmzTp58qQGDBig733ve3aUAwAAYClbAtYpPXv2VM%2BePe0sAQAAwHK2BKy77777nPv/%2BMc/tlIlAAAA1rPlHqzq6mqfpbKyUu%2B%2B%2B67eeOONFj9deDZr1qzRmDFjFBcXJ4fDoeXLl/vsNwxD8%2BbNU1xcnEJCQpSSkqLt27f7jKmrq1NGRoZcLpdcLpcyMjJ0%2BPBhnzFbt27V0KFDFRISoiuuuEKPPPKIDMP45v8AAABAQLNlBusf//hHs20nTpzQL3/5S1199dUXfJ5jx46pf//%2BuuOOO3Trrbc22//YY4/pqaee0iuvvKKePXvq0Ucf1c0336xdu3YpLCxMkpSenq69e/cqPz9f0lezaxkZGWaN9fX1uvnmmzVs2DBt2rRJ//nPf5SVlaXQ0FDNmjXrm7QPAAACnMNoQ1Mxu3btUkpKiqqrq7/2sQ6HQ2%2B//bbGjRsn6avZq7i4OM2YMUMPPPCAJMnr9SomJka/%2Bc1vdM8992jnzp3q3bu3SkpKNHDgQElSSUmJkpOT9e9//1u9evXSkiVLlJOTo/3798vpdEqSFi1apGeffVZ79%2B41HzNxLvX19XK5XPJ4PAoPD//avcEeSXPz7S7hayldMNLuEgCgTbHz769tX/bckk8//VSNjY2WnKuiokI1NTVKTU01tzmdTg0dOlTr16%2BXJBUXF8vlcpnhSpIGDRokl8vlM2bo0KFmuJKkESNGaN%2B%2Bffrss88sqRUAAAQWW94ivP/%2B%2B33WDcNQdXW13nnnHU2cONGS1zh1L1dMTIzP9piYGO3Zs8ccEx0d3ezY6Oho8/iamhpdeeWVzc5xal98fHyz471er7xer7leX1//zRsBAAB%2Bx5aAVVxc7LN%2B2WWXqXPnzlq0aJGys7Mtfa0z38IzDMNnW0tv8Z1vzKl3Vc/29mBubq7mz5//jWsGAAD%2BzZaAtXbt2ov%2BGm63W9JXs0yxsbHm9traWnMGyu12a//%2B/c2OPXDggM%2BYMz/ZWFtbK6n57NgpOTk5mjlzprleX1%2Bvrl27fotuAACAP2lT92BZKT4%2BXm63W4WFhea2hoYGFRUVafDgwZKk5ORkeTwebdy40RyzYcMGeTwenzFr1qxRQ0ODOaagoEBxcXHN3jo8xel0Kjw83GcBAACXDltmsK677roL%2BvSdJJ/wc6ajR4/q448/NtcrKipUXl6uyMhIdevWTTNmzNDChQvVo0cP9ejRQwsXLlTHjh2Vnp4uSbr66qs1cuRIZWdn6/nnn5f01WMaRo8erV69ekn66jEO8%2BfPV1ZWlh588EHt3r1bCxcu1MMPP3zBPQAAgEuLLQFr2LBhev7559WzZ08lJydL%2BurxCLt27dI999zj84m9cyktLdWwYcPM9VNvy2VmZuqVV17R/fffry%2B//FKTJ09WXV2dBg4cqIKCAvMZWJK0dOlSTZ8%2B3fy04dixY7V48WJzv8vlUmFhoaZMmaKkpCRFRERo5syZPm8BAgAAnM6W52DdfffdioqK0sKFC322z507V/v379ef/vSn1i7pouI5WP6J52ABgH%2B75J6D9cYbb%2BiOO%2B5otj0rK0t/%2B9vfbKgIAADAOrYELKfTaT7I83Tr16%2B/4LcHAQAA2ipb7sGaPn26Jk2apC1btmjQoEGSvroH64UXXtCDDz5oR0kAAACWsSVgzZ07V/Hx8frtb3%2Brl156SdJXn%2Bh74YUXzE/4AQAA%2BCtbApb01eMPCFMAACAQ2fag0fr6er3yyit6%2BOGHVVdXJ0n68MMPVV1dbVdJAAAAlrBlBmvbtm36wQ9%2BoI4dO6qqqkpZWVmKiIjQG2%2B8ob179%2BrVV1%2B1oywAAABL2DKDdd999yk9PV2ffPKJOnToYG4fNWqU1qxZY0dJAAAAlrFlBmvTpk1asmRJs6%2BaueKKK3iLEAAA%2BD1bZrCCg4N19OjRZtt3796tqKgoGyoCAACwji0Ba%2BzYsfr1r3%2BtEydOSJIcDoc%2B//xzzZkzR%2BPHj7ejJAAAAMvYErCefPJJ7du3T263W19%2B%2BaWGDx%2Bu7373u%2BrQoUOz7ycEAADwN7bcg%2BVyubR%2B/XoVFhZq8%2BbNOnnypAYMGKARI0Y0uy8LAADA37R6wGpsbNQtt9yi5557TqmpqUpNTW3tEgAAAC6qVn%2BLMCgoSFu2bGGmCgAABCxb7sH62c9%2BppdfftmOlwYAALjobPsuwsWLF2vVqlVKSkpSaGioz77HHnvMpqoAAAC%2BPVsCVllZmfr16ydJ%2Buijj3z28dYhAADwd60asD799FPFx8dr7dq1rfmyAAAArapV78Hq0aOHDhw4YK7ffvvt2r9/f2uWAAAAcNG1asAyDMNnfeXKlTp27FhrlgAAAHDR2fIpQgAAgEDWqgHL4XA0u4mdm9oBAECgadWb3A3DUFZWlpxOpyTp%2BPHjmjRpUrPHNLz11lutWRYQEJLm5ttdwgUrXTDS7hIA4KJq1YCVmZnps/6zn/2sNV8eAACgVbRqwOLp7QAA4FLATe4AAAAWI2ABAABYLKAD1pVXXml%2BcvH0ZcqUKZKklJSUZvsmTJjgc466ujplZGTI5XLJ5XIpIyNDhw8ftqMdAADgJ2z7sufWsGnTJjU1NZnr27Zt080336yf/OQn5rbs7Gw98sgj5npISIjPOdLT07V3717l53/1Ca27775bGRkZ%2Bsc//nGRqwcAAP4qoANW586dfdYXLVqkq666SkOHDjW3dezYUW63u8Xjd%2B7cqfz8fJWUlGjgwIGSpBdeeEHJycnatWuXevXqdfGKBwAAfiug3yI8XUNDg15//XXdeeedPg83Xbp0qaKiotSnTx/Nnj1bR44cMfcVFxfL5XKZ4UqSBg0aJJfLpfXr15/1tbxer%2Brr630WAABw6QjoGazTLV%2B%2BXIcPH1ZWVpa5beLEiYqPj5fb7da2bduUk5OjDz/8UIWFhZKkmpoaRUdHNztXdHS0ampqzvpaubm5mj9/vuU9AAAA/3DJBKwXX3xRaWlpiouLM7dlZ2ebPyckJKhHjx5KSkrS5s2bNWDAAEktf5WPYRjn/IqfnJwczZw501yvr69X165drWgDAAD4gUsiYO3Zs0erVq0671fwDBgwQEFBQdq9e7cGDBggt9ut/fv3Nxt34MABxcTEnPU8TqfT/DogAABw6bkk7sF6%2BeWXFR0drVGjRp1z3Pbt29XY2KjY2FhJUnJysjwejzZu3GiO2bBhgzwejwYPHnxRawYAAP4r4GewTp48qZdfflmZmZlq3/7/2/3kk0%2B0dOlS3XLLLYqKitKOHTs0a9YsXXvttRoyZIgk6eqrr9bIkSOVnZ2t559/XtJXj2kYPXo0nyAEAABnFfAzWKtWrVJlZaXuvPNOn%2B3BwcF67733NGLECPXq1UvTp09XamqqVq1apXbt2pnjli5dqr59%2Byo1NVWpqanq16%2BfXnvttdZuAwAA%2BJGAn8FKTU2VYRjNtnft2lVFRUXnPT4yMlKvv/76xSgNAAAEqICfwQIAAGhtBCwAAACLEbAAAAAsRsACAACwGAELAADAYgRWYtYhAAAUvUlEQVQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsFtABa968eXI4HD6L2%2B029xuGoXnz5ikuLk4hISFKSUnR9u3bfc5RV1enjIwMuVwuuVwuZWRk6PDhw63dCgAA8CMBHbAkqU%2BfPqqurjaXrVu3mvsee%2BwxPfXUU1q8eLE2bdokt9utm2%2B%2BWUeOHDHHpKenq7y8XPn5%2BcrPz1d5ebkyMjLsaAUAAPiJ9nYXcLG1b9/eZ9bqFMMw9Mwzz2ju3LkaP368JOnVV19VTEyM/vKXv%2Biee%2B7Rzp07lZ%2Bfr5KSEg0cOFCS9MILLyg5OVm7du1Sr169WrUXAADgHwJ%2BBmv37t2Ki4tTfHy8JkyYoE8//VSSVFFRoZqaGqWmpppjnU6nhg4dqvXr10uSiouL5XK5zHAlSYMGDZLL5TLHAAAAnCmgZ7AGDhyoP//5z%2BrZs6f279%2BvRx99VIMHD9b27dtVU1MjSYqJifE5JiYmRnv27JEk1dTUKDo6utl5o6OjzeNb4vV65fV6zfX6%2Bnor2gEAAH4ioANWWlqa%2BXPfvn2VnJysq666Sq%2B%2B%2BqoGDRokSXI4HD7HGIbhs%2B3M/S2NOVNubq7mz5//bcsHAAB%2BKuDfIjxdaGio%2Bvbtq927d5v3ZZ05E1VbW2vOarndbu3fv7/ZeQ4cONBs5ut0OTk58ng85lJVVWVhFwAAoK27pAKW1%2BvVzp07FRsbq/j4eLndbhUWFpr7GxoaVFRUpMGDB0uSkpOT5fF4tHHjRnPMhg0b5PF4zDEtcTqdCg8P91kAAMClI6DfIpw9e7bGjBmjbt26qba2Vo8%2B%2Bqjq6%2BuVmZkph8OhGTNmaOHCherRo4d69OihhQsXqmPHjkpPT5ckXX311Ro5cqSys7P1/PPPS5LuvvtujR49mk8QAgCAswrogLV371799Kc/1cGDB9W5c2cNGjRIJSUl6t69uyTp/vvv15dffqnJkyerrq5OAwcOVEFBgcLCwsxzLF26VNOnTzc/bTh27FgtXrzYln4AAIB/cBiGYdhdRKCrr6%2BXy%2BWSx%2BPh7UI/kjQ33%2B4SAlbpgpF2lwDgEmDn399L6h4sAACA1kDAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLtbe7AFw6kubm210CAACtghksAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALBYQAes3NxcXXfddQoLC1N0dLTGjRunXbt2%2BYxJSUmRw%2BHwWSZMmOAzpq6uThkZGXK5XHK5XMrIyNDhw4dbsxUAAOBHAjpgFRUVacqUKSopKVFhYaFOnDih1NRUHTt2zGdcdna2qqurzeX555/32Z%2Benq7y8nLl5%2BcrPz9f5eXlysjIaM1WAACAHwnoJ7nn5/s%2BOfzll19WdHS0ysrKdOONN5rbO3bsKLfb3eI5du7cqfz8fJWUlGjgwIGSpBdeeEHJycnatWuXevXqdfEaAAAAfimgZ7DO5PF4JEmRkZE%2B25cuXaqoqCj16dNHs2fP1pEjR8x9xcXFcrlcZriSpEGDBsnlcmn9%2BvUtvo7X61V9fb3PAgAALh0BPYN1OsMwNHPmTF1//fVKSEgwt0%2BcOFHx8fFyu93atm2bcnJy9OGHH6qwsFCSVFNTo%2Bjo6Gbni46OVk1NTYuvlZubq/nz51%2BcRgAAQJt3yQSsqVOn6qOPPtK6det8tmdnZ5s/JyQkqEePHkpKStLmzZs1YMAASZLD4Wh2PsMwWtwuSTk5OZo5c6a5Xl9fr65du1rRBgAA8AOXRMCaNm2a3nnnHa1Zs0ZdunQ559gBAwYoKChIu3fv1oABA%2BR2u7V///5m4w4cOKCYmJgWz%2BF0OuV0Oi2pHQAA%2BJ%2BAvgfLMAxNnTpVb731lt5//33Fx8ef95jt27ersbFRsbGxkqTk5GR5PB5t3LjRHLNhwwZ5PB4NHjz4otUOAAD8V0DPYE2ZMkV/%2Bctf9Pe//11hYWHmPVMul0shISH65JNPtHTpUt1yyy2KiorSjh07NGvWLF177bUaMmSIJOnqq6/WyJEjlZ2dbT6%2B4e6779bo0aP5BCEAAGhRQM9gLVmyRB6PRykpKYqNjTWXZcuWSZKCg4P13nvvacSIEerVq5emT5%2Bu1NRUrVq1Su3atTPPs3TpUvXt21epqalKTU1Vv3799Nprr9nVFgAAaOMCegbLMIxz7u/atauKiorOe57IyEi9/vrrVpUFAAACXEDPYAEAANiBgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWCygn%2BQOoG1KmptvdwlfS%2BmCkXaXAMDPMIMFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgsfZ2F4BvJ2luvt0lAACAMzCDBQAAYDFmsADgPPxtprh0wUi7SwAuecxgAQAAWIyABQAAYDEC1gV67rnnFB8frw4dOigxMVFr1661uyQAANBGEbAuwLJlyzRjxgzNnTtXW7Zs0Q033KC0tDRVVlbaXRoAAGiDCFgX4KmnntJdd92lX/ziF7r66qv1zDPPqGvXrlqyZIndpQEAgDaITxGeR0NDg8rKyjRnzhyf7ampqVq/fn2Lx3i9Xnm9XnPd4/FIkurr6y2vr8l7zPJzAvBv185%2B0%2B4SAlbRwzfbXQK%2BhlN/dw3DaPXXJmCdx8GDB9XU1KSYmBif7TExMaqpqWnxmNzcXM2fP7/Z9q5du16UGgEArcP1pN0V4Js4cuSIXC5Xq74mAesCORwOn3XDMJptOyUnJ0czZ84010%2BePKkvvvhCnTp1OusxX0d9fb26du2qqqoqhYeHf%2BvztSWB3JsU2P0Fcm9SYPcXyL1Jgd1fIPcmffv%2BDMPQkSNHFBcXdxGqOzcC1nlERUWpXbt2zWaramtrm81qneJ0OuV0On22XX755ZbXFh4eHpD/QkmB3ZsU2P0Fcm9SYPcXyL1Jgd1fIPcmfbv%2BWnvm6hRucj%2BP4OBgJSYmqrCw0Gd7YWGhBg8ebFNVAACgLWMG6wLMnDlTGRkZSkpKUnJysv74xz%2BqsrJSkyZNsrs0AADQBrWbN2/ePLuLaOsSEhLUqVMnLVy4UE888YS%2B/PJLvfbaa%2Brfv79tNbVr104pKSlq3z7wMnIg9yYFdn%2BB3JsU2P0Fcm9SYPcXyL1J/tufw7Djs4sAAAABjHuwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsPzMc889p/j4eHXo0EGJiYlau3at3SV9bfPmzZPD4fBZ3G63ud8wDM2bN09xcXEKCQlRSkqKtm/fbmPF57ZmzRqNGTNGcXFxcjgcWr58uc/%2BC%2Bmnrq5OGRkZcrlccrlcysjI0OHDh1uzjRadr7esrKxm13LQoEE%2BY7xer6ZNm6aoqCiFhoZq7Nix2rt3b2u2cVa5ubm67rrrFBYWpujoaI0bN067du3yGXMh9VdWVmrMmDEKDQ1VVFSUpk%2BfroaGhtZspZkL6S0lJaXZ9ZswYYLPmLb6u7lkyRL169fPfABlcnKy3n33XXO/v1436fy9%2BfN1O1Nubq4cDodmzJhhbvPna3c6ApYfWbZsmWbMmKG5c%2Bdqy5YtuuGGG5SWlqbKykq7S/va%2BvTpo%2BrqanPZunWrue%2Bxxx7TU089pcWLF2vTpk1yu926%2BeabdeTIERsrPrtjx46pf//%2BWrx4cYv7L6Sf9PR0lZeXKz8/X/n5%2BSovL1dGRkZrtXBW5%2BtNkkaOHOlzLVeuXOmzf8aMGXr77beVl5endevW6ejRoxo9erSampoudvnnVVRUpClTpqikpESFhYU6ceKEUlNTdezY/3%2BJ%2Bvnqb2pq0qhRo3Ts2DGtW7dOeXl5evPNNzVr1iy72pJ0Yb1JUnZ2ts/1e/755332t9XfzS5dumjRokUqLS1VaWmphg8frh/%2B8Ifm/7z463WTzt%2Bb5L/X7XSbNm3SH//4R/Xr189nuz9fOx8G/Mb3v/99Y9KkST7bvve97xlz5syxqaJv5le/%2BpXRv3//FvedPHnScLvdxqJFi8xtx48fN1wul/GHP/yhtUr8xiQZb7/9trl%2BIf3s2LHDkGSUlJSYY4qLiw1Jxr///e/WK/48zuzNMAwjMzPT%2BOEPf3jWYw4fPmwEBQUZeXl55rbPP//cuOyyy4z8/PyLVus3VVtba0gyioqKDMO4sPpXrlxpXHbZZcbnn39ujvnrX/9qOJ1Ow%2BPxtG4D53Bmb4ZhGEOHDjXuvffesx7jL7%2Bbp0RERBh/%2BtOfAuq6nXKqN8MIjOt25MgRo0ePHkZhYaFPP4F07ZjB8hMNDQ0qKytTamqqz/bU1FStX7/epqq%2Bud27dysuLk7x8fGaMGGCPv30U0lSRUWFampqfPp0Op0aOnSoX/Z5If0UFxfL5XJp4MCB5phBgwbJ5XL5Rc8ffPCBoqOj1bNnT2VnZ6u2ttbcV1ZWpsbGRp/%2B4%2BLilJCQ0CZ783g8kqTIyEhJF1Z/cXGxEhISfL5MdsSIEfJ6vSorK2vF6s/tzN5OWbp0qaKiotSnTx/Nnj3bZ2bVX343m5qalJeXp2PHjik5OTmgrtuZvZ3i79dtypQpGjVqlH7wgx/4bA%2Bka%2Bdfj0W9hB08eFBNTU3NvmA6Jiam2RdRt3UDBw7Un//8Z/Xs2VP79%2B/Xo48%2BqsGDB2v79u1mLy31uWfPHjvK/VYupJ%2BamhpFR0c3OzY6OrrNX9u0tDT95Cc/Uffu3VVRUaGHHnpIw4cPV1lZmZxOp2pqahQcHKyIiAif49ri761hGJo5c6auv/56JSQkSNIF1V9TU9Ps%2BkZERCg4OLjN9NhSb5I0ceJExcfHy%2B12a9u2bcrJydGHH35ofvdqW//d3Lp1q5KTk3X8%2BHF95zvf0dtvv63evXurvLzc76/b2XqT/P%2B65eXlqaysTKWlpc32Bcq/cxIBy%2B84HA6fdcMwmm1r69LS0syf%2B/btq%2BTkZF111VV69dVXzRukA6HP052vn5Z684eeb7/9dvPnhIQEJSUlqXv37lqxYoXGjx9/1uPaYm9Tp07VRx99pHXr1p13rL9dv7P1lp2dbf6ckJCgHj16KCkpSZs3b9aAAQMkte3eevXqpfLych0%2BfFhvvvmmMjMzVVRUdNbx/nTdztZb7969/fq6VVVV6d5771VBQYE6dOhwwcf507U7hbcI/URUVJTatWvXLJ3X1tY2S/L%2BJjQ0VH379tXu3bvNTxMGSp8X0o/b7db%2B/fubHXvgwAG/6zk2Nlbdu3fX7t27JX3VW0NDg%2Brq6nzGtbXrOW3aNL3zzjtavXq1unTpYm6/kPrdbnez61tXV6fGxsY20ePZemvJgAEDFBQU5HP92vLvZnBwsP7nf/5HSUlJys3NVf/%2B/fXb3/42IK7b2XpriT9dt7KyMtXW1ioxMVHt27dX%2B/btVVRUpN/97ndq3769YmJi/P7anULA8hPBwcFKTEw0p4BPKSws1ODBg22qyhper1c7d%2B5UbGysOe19ep8NDQ0qKiryyz4vpJ/k5GR5PB5t3LjRHLNhwwZ5PB6/6/nQoUOqqqpSbGysJCkxMVFBQUE%2B/VdXV2vbtm1tojfDMDR16lS99dZbev/99xUfH%2B%2Bz/0LqT05O1rZt21RdXW2OKSgokNPpVGJiYus00oLz9daS7du3q7Gx0bx%2B/va7aRiGvF6vX1%2B3sznVW0v86brddNNN2rp1q8rLy80lKSlJEydONH8OmGvXyjfV41vIy8szgoKCjBdffNHYsWOHMWPGDCM0NNT47LPP7C7ta5k1a5bxwQcfGJ9%2B%2BqlRUlJijB492ggLCzP7WLRokeFyuYy33nrL2Lp1q/HTn/7UiI2NNerr622uvGVHjhwxtmzZYmzZssWQZDz11FPGli1bjD179hiGcWH9jBw50ujXr59RXFxsFBcXG3379jVGjx5tV0umc/V25MgRY9asWcb69euNiooKY/Xq1UZycrJxxRVX%2BPQ2adIko0uXLsaqVauMzZs3G8OHDzf69%2B9vnDhxwsbOvvLLX/7ScLlcxgcffGBUV1eby3//%2B19zzPnqP3HihJGQkGDcdNNNxubNm41Vq1YZXbp0MaZOnWpXW4ZhnL%2B3jz/%2B2Jg/f76xadMmo6KiwlixYoXxve99z7j22mt9rk1b/d3Myckx1qxZY1RUVBgfffSR8eCDDxqXXXaZUVBQYBiG/143wzh3b/5%2B3Vpy5qci/fnanY6A5Wd%2B//vfG927dzeCg4ONAQMG%2BHzk2l/cfvvtRmxsrBEUFGTExcUZ48ePN7Zv327uP3nypPGrX/3KcLvdhtPpNG688UZj69atNlZ8bqtXrzYkNVsyMzMNw7iwfg4dOmRMnDjRCAsLM8LCwoyJEycadXV1NnTj61y9/fe//zVSU1ONzp07G0FBQUa3bt2MzMxMo7Ky0uccX375pTF16lQjMjLSCAkJMUaPHt1sjF1a6k2S8fLLL5tjLqT%2BPXv2GKNGjTJCQkKMyMhIY%2BrUqcbx48dbuRtf5%2ButsrLSuPHGG43IyEgjODjYuOqqq4zp06cbhw4d8jlPW/3dvPPOO83/Fnbu3Nm46aabzHBlGP573Qzj3L35%2B3VryZkBy5%2Bv3ekchmEYrTdfBgAAEPi4BwsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAi/0fMqFKdzM9d2cAAAAASUVORK5CYII%3D\"/>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-6011759704727710138\">\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\">100.0</td>\n",
" <td class=\"number\">73</td>\n",
" <td class=\"number\">1.9%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">93.0</td>\n",
" <td class=\"number\">70</td>\n",
" <td class=\"number\">1.9%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">114.0</td>\n",
" <td class=\"number\">65</td>\n",
" <td class=\"number\">1.7%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">107.0</td>\n",
" <td class=\"number\">64</td>\n",
" <td class=\"number\">1.7%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">98.0</td>\n",
" <td class=\"number\">64</td>\n",
" <td class=\"number\">1.7%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">104.0</td>\n",
" <td class=\"number\">63</td>\n",
" <td class=\"number\">1.7%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">92.0</td>\n",
" <td class=\"number\">63</td>\n",
" <td class=\"number\">1.7%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">101.0</td>\n",
" <td class=\"number\">59</td>\n",
" <td class=\"number\">1.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">96.0</td>\n",
" <td class=\"number\">59</td>\n",
" <td class=\"number\">1.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">106.0</td>\n",
" <td class=\"number\">59</td>\n",
" <td class=\"number\">1.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"other\">\n",
" <td class=\"fillremaining\">Other values (224)</td>\n",
" <td class=\"number\">2748</td>\n",
" <td class=\"number\">72.9%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"missing\">\n",
" <td class=\"fillremaining\">(Missing)</td>\n",
" <td class=\"number\">385</td>\n",
" <td class=\"number\">10.2%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme-6011759704727710138\">\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\">2.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2.8</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">3.0</td>\n",
" <td class=\"number\">2</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\">4.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">5.4</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&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\">291.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">312.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">349.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">362.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">395.0</td>\n",
" <td class=\"number\">2</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_I131_treatment\">I131_treatment<br/>\n",
" <small>Categorical</small>\n",
" </p>\n",
" </div><div class=\"col-md-3\">\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-md-6 collapse in\" id=\"minifreqtable1913485322575325175\">\n",
" <table class=\"mini freq\">\n",
" <tr class=\"\">\n",
" <th>f</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: 98.4%\">\n",
" 3713\n",
" </div>\n",
" \n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <th>t</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 1.6%\">\n",
" &nbsp;\n",
" </div>\n",
" 59\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=\"#freqtable1913485322575325175, #minifreqtable1913485322575325175\"\n",
" aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable1913485322575325175\">\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\">f</td>\n",
" <td class=\"number\">3713</td>\n",
" <td class=\"number\">98.4%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">t</td>\n",
" <td class=\"number\">59</td>\n",
" <td class=\"number\">1.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:2%\">&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_T3\">T3<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>70</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Unique (%)</th>\n",
" <td>1.9%</td>\n",
" </tr>\n",
" <tr class=\"alert\">\n",
" <th>Missing (%)</th>\n",
" <td>20.4%</td>\n",
" </tr>\n",
" <tr class=\"alert\">\n",
" <th>Missing (n)</th>\n",
" <td>769</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>2.0135</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>0.05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>10.6</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=\"minihistogram466460745059663016\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAAclJREFUeJzt3LHK01AYx%2BE3xTXpXpqLELwFwQty%2B8DN0Utxd3X3Llp6AQkODjYOWhfhj5/6nTTyPGspbwrnx0kCp92yLEs1dj6faxzH1mPZuNPpVMfjsenMZ02n/dD3fVV9/8HDMKxxCWzINE01juPPddPSKoF0XVdVVcMw/JNAXjx8ePR3Pr199ddzaeu2blraNZ8IGyIQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQLDKicJ74BQiv8MOAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAILi7I7d/chQWnoodBAKBQCAQCAQCgUAguLu3WPfssW/Y/NHc9tlBIBAIBKvcYi3LUlVV0zT98tnXL59bX86Tef76fZM5H9%2B8bDJnLbd1cls3La0SyDzPVVU1juMa4/87%2B3drX0Eb8zzXfr9vOrNbVsjyer3W5XKpvu%2Br67rW49mYZVlqnuc6HA6127V9KlglENgKD%2BkQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBN8A6hlH3kCB7AwAAAAASUVORK5CYII%3D\">\n",
"\n",
"</div>\n",
"<div class=\"col-md-12 text-right\">\n",
" <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives466460745059663016,#minihistogram466460745059663016\"\n",
" aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"row collapse col-md-12\" id=\"descriptives466460745059663016\">\n",
" <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
" <li role=\"presentation\" class=\"active\"><a href=\"#quantiles466460745059663016\"\n",
" aria-controls=\"quantiles466460745059663016\" role=\"tab\"\n",
" data-toggle=\"tab\">Statistics</a></li>\n",
" <li role=\"presentation\"><a href=\"#histogram466460745059663016\" aria-controls=\"histogram466460745059663016\"\n",
" role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
" <li role=\"presentation\"><a href=\"#common466460745059663016\" aria-controls=\"common466460745059663016\"\n",
" role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
" <li role=\"presentation\"><a href=\"#extreme466460745059663016\" aria-controls=\"extreme466460745059663016\"\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=\"quantiles466460745059663016\">\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>0.05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5-th percentile</th>\n",
" <td>0.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q1</th>\n",
" <td>1.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Median</th>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q3</th>\n",
" <td>2.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95-th percentile</th>\n",
" <td>3.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>10.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Range</th>\n",
" <td>10.55</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Interquartile range</th>\n",
" <td>0.8</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>0.82743</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Coef of variation</th>\n",
" <td>0.41094</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Kurtosis</th>\n",
" <td>9.868</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>2.0135</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MAD</th>\n",
" <td>0.56409</td>\n",
" </tr>\n",
" <tr class=\"\">\n",
" <th>Skewness</th>\n",
" <td>1.7309</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sum</th>\n",
" <td>6046.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Variance</th>\n",
" <td>0.68465</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory size</th>\n",
" <td>29.5 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=\"histogram466460745059663016\">\n",
" <img 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9Xrx8XJkzLtruE32T7rP52lwAA%2BB3svP%2BG9CNCAACASxEBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIaFdMDasGGDBg8eLI/HI4fDobVr1wYdtyxLM2bMkMfjUUREhHr37q09e/YE9SkrK5PX65XL5ZLL5ZLX69WxY8eC%2BuzatUu9evVSRESErrzySs2cOVOWZV306wMAAKEppAPWiRMn1LlzZ2VlZZ33%2BOzZszV//nxlZWVp27Ztcrvd6tu3r44fPx7ok5KSosLCQmVnZys7O1uFhYXyer2B436/X3379pXH49G2bdu0cOFCzZ07V/Pnz7/o1wcAAEJTmN0F/B4DBgzQgAEDznvMsiwtWLBA06ZN09ChQyVJy5YtU3R0tFauXKlRo0Zp7969ys7OVn5%2Bvrp16yZJWrJkiRITE7Vv3z61bdtWK1as0KlTp7R06VI5nU7FxcVp//79mj9/vtLT0%2BVwOGrtegEAQGgI6RGsX3LgwAGVlJQoOTk50OZ0OtWrVy/l5eVJkjZv3iyXyxUIV5LUvXt3uVyuoD69evWS0%2BkM9OnXr58OHTqkr7/%2B%2BrznrqiokN/vD9oAAED9UWcDVklJiSQpOjo6qD06OjpwrKSkRFFRUTVeGxUVFdTnfO/x03OcKzMzMzCny%2BVyKSYm5vddDAAACCl1NmCdde4jPMuygtrO94jv1/qcneD%2Bc48Hp06dKp/PF9iKi4v/7foBAEDosSVgLV%2B%2BXKdOnbqo53C73ZJqjjKVlpYGRqDcbreOHDlS47VHjx4N6nO%2B95Bqjo6d5XQ6FRkZGbQBAID6w5aAlZ6eLrfbrVGjRmnr1q0X5RyxsbFyu93KyckJtFVWVio3N1dJSUmSpMTERPl8vqAatmzZIp/PF9Rnw4YNqqysDPRZv369PB6PrrnmmotSOwAACG22BKxDhw7plVde0eHDh9WzZ0917NhR8%2BbN09GjR3/T%2B5SXl6uwsFCFhYWSfpzYXlhYqKKiIjkcDqWlpSkjI0Nr1qzR7t27NXLkSDVu3FgpKSmSpPbt26t///5KTU1Vfn6%2B8vPzlZqaqkGDBqlt27aSflzGwel0auTIkdq9e7fWrFmjjIwMvkEIAAB%2BlsOyecXMkpIS/f3vf9eyZcv0xRdfaODAgXrwwQd1xx13/GqA%2Bfjjj3XrrbfWaB8xYoSWLl0qy7L01FNP6aWXXlJZWZm6deum559/XnFxcYG%2B33//vSZMmKB169ZJkoYMGaKsrCxdfvnlgT67du3S2LFjtXXrVjVr1kyjR4/W9OnTLzhg%2Bf1%2BuVwu%2BXy%2Bev24MGFatt0l/CbbZ/W3uwQAwO9g5/3X9oAlSQUFBXrllVf08ssvKyoqSj6fT1dccYVeffVV3XzzzXaX97sRsH5EwAIA1CY777%2B2LTT63Xffafny5Xr11Ve1b98%2BDR48WGvXrlW/fv104sQJPfHEE7rvvvt04MABu0pEPUcgBAD8u2wJWH/605/07rvvKjY2Vv/1X/%2BlESNG6Iorrggc/4//%2BA899thjeu655%2BwoDwAA4HexJWBFRkbqgw8%2B%2BMXHf61atdLnn39ei1UBAACYYUvAWrZs2a/2cTgc%2BsMf/lAL1QAAAJhlyzINjzzyiLKysmq0P//885o4caINFQEAAJhjS8D6xz/%2Boe7du9doT0xM1OrVq22oCAAAwBxbAtZ3332nZs2a1WiPjIzUd999Z0NFAAAA5tgSsP7whz/o/fffr9H%2B/vvvKzY21oaKAAAAzLFlkntaWprS0tL0//7f/9Ntt90mSfrXv/6l2bNna%2B7cuXaUBAAAYIwtASs1NVWnTp1SRkaG/vrXv0qSrrrqKj333HN64IEH7CgJAADAGNtWch8/frzGjx%2Bvw4cPKyIiIui3/wAAAEKZbQHrrFatWtldAgAAgFG2THI/evSo7r//frVu3VqNGjVSeHh40AYAABDKbBnBGjlypL788ks9%2BuijatWqlRwOhx1lAAAAXBS2BKwNGzZow4YNio%2BPt%2BP0AAAAF5UtjwivuuoqRq0AAECdZUvAevbZZzV16lQdPHjQjtMDAABcVLY8IvR6vTp%2B/LiuvvpqRUZGqmHDhkHHS0tL7SgLAADACFsC1tNPP23HaQEAAGqFLQHrwQcftOO0AAAAtcKWOViS9PXXX2vGjBnyer2BR4Lr16/X3r177SoJAADACFsC1saNG9WxY0fl5ubqjTfeUHl5uSRpx44dmj59uh0lAQAAGGNLwJo8ebJmzJihjz76KGjl9ttuu035%2Bfl2lAQAAGCMLQHr008/1Z///Oca7VFRUTp69KgNFQEAAJhjS8C6/PLLVVJSUqO9sLBQV155pQ0VAQAAmGNLwBo2bJimTJmio0ePBlZ037JliyZNmqThw4fbURIAAIAxtgSsjIwMud1utWrVSuXl5erQoYOSkpLUtWtXPfnkk3aUBAAAYIwt62CFh4dr9erV2r9/v3bs2KHq6mrdeOONateunR3lAAAAGGXbOliSdN1112nYsGFKSUm5KOHq9OnTeuKJJxQbG6uIiAhde%2B21mjlzpqqrqwN9LMvSjBkz5PF4FBERod69e2vPnj1B71NWViav1yuXyyWXyyWv16tjx44ZrxcAANQNtoxgPfTQQ794fPHixUbO88wzz%2BjFF1/UsmXL1LFjR23fvl3333%2B/XC6XHn74YUnS7NmzNX/%2BfC1dulTXXXed/vd//1d9%2B/bVvn371LRpU0lSSkqKDh48qOzs7ED9Xq9Xb7/9tpE6AQBA3WJLwDp8%2BHDQflVVlfbs2aPjx4/rlltuMXaezZs3649//KMGDhwoSbrmmmv0%2Buuva/v27ZJ%2BHL1asGCBpk2bpqFDh0qSli1bpujoaK1cuVKjRo3S3r17lZ2drfz8fHXr1k2StGTJEiUmJmrfvn1q27atsXoBAEDdYEvAOt/Iz%2BnTp/Xf//3fat%2B%2BvbHz9OzZUy%2B%2B%2BKL279%2Bv6667Tp988ok2bdqkBQsWSJIOHDigkpISJScnB17jdDrVq1cv5eXladSoUdq8ebNcLlcgXElS9%2B7d5XK5lJeXd96AVVFRoYqKisC%2B3%2B83dk0AAODSZ%2BscrJ8KCwvTpEmTNGfOHGPvOXnyZN1zzz1q166dGjZsqPj4eKWlpemee%2B6RpMBaXNHR0UGvi46ODhwrKSlRVFRUjfeOioo671pekpSZmRmYr%2BVyuRQTE2PsmgAAwKXvkglYkvTVV1%2BpqqrK2PutXr1ay5cv18qVK7Vjxw4tW7ZMc%2BfO1bJly4L6nV2L6yzLsoLazj1%2Bvj4/NXXqVPl8vsBWXFxs4GoAAECosOUR4WOPPRa0b1mWDh8%2BrHXr1unee%2B81dp5HH31UU6ZM0bBhwyRJnTp10jfffKPMzEyNGDFCbrdb0o%2BjVK1atQq8rrS0NDCq5Xa7deTIkRrvffTo0RojX2c5nU45nU5j1wEAAEKLLQFr8%2BbNQfuXXXaZrrjiCj399NNKTU01dp4ffvhBl10WPEjXoEGDwDINsbGxcrvdysnJUXx8vCSpsrJSubm5euaZZyRJiYmJ8vl82rp1q2666SZJP6467/P5lJSUZKxWAABQd9gSsDZu3Fgr5xk8eLBmzZql1q1bq2PHjtq5c6fmz5%2BvBx54QNKPj/7S0tKUkZGhNm3aqE2bNsrIyFDjxo2VkpIiSWrfvr369%2B%2Bv1NRUvfTSS5J%2BXKZh0KBBfIMQAACcly0Bq7YsXLhQTz75pMaMGaPS0lJ5PB6NGjVK06dPD/R57LHHdPLkSY0ZM0ZlZWXq1q2b1q9fH1gDS5JWrFihCRMmBL5tOGTIEGVlZdX69QAAgNDgsCzLqu2Tdu3a9WcniJ9r69atF7mai8/v98vlcsnn8ykyMtLucmyTMC3b7hLqtO2z%2BttdAgBcUuy8/9oygnXrrbfqpZde0nXXXafExERJUn5%2Bvvbt26dRo0YxQRwAAIQ0WwLWsWPHNHbsWGVkZAS1T5s2TUeOHNH//d//2VEWAACAEbasg/XGG2/o/vvvr9E%2BcuRI/eMf/7ChIgAAAHNsCVhOp1N5eXk12vPy8ng8CAAAQp4tjwgnTJig0aNHa%2BfOnerevbukH%2BdgLVmyRI8//rgdJQEAABhjS8CaNm2aYmNj9be//U2vvPKKpB/Xm1qyZElg/SkAAIBQZds6WCkpKYQpAABQJ9n2Y89%2Bv19Lly7V9OnTVVZWJkn65JNPdPjwYbtKAgAAMMKWEazdu3erT58%2Baty4sYqLizVy5Eg1a9ZMb7zxhg4ePKhly5bZURYAAIARtoxgPfLII0pJSdGXX36pRo0aBdoHDhyoDRs22FESAACAMbaMYG3btk2LFi2q8XM5V155JY8IAQBAyLNlBCs8PFzl5eU12j///HO1bNnShooAAADMsSVgDRkyRP/zP/%2Bj06dPS5IcDoe%2B/fZbTZkyRUOHDrWjJAAAAGNsCVjz5s3ToUOH5Ha7dfLkSd1222269tpr1ahRoxq/TwgAABBqbJmD5XK5lJeXp5ycHO3YsUPV1dW68cYb1a9fvxrzsgAAAEJNrQesqqoq3XHHHXrhhReUnJys5OTk2i4BAADgoqr1R4QNGzbUzp07GakCAAB1li1zsIYPH65XX33VjlMDAABcdLb9FmFWVpY%2B%2BOADJSQkqEmTJkHHZs%2BebVNVAAAAv58tAaugoEDXX3%2B9JOnTTz8NOsajQwAAEOpqNWB99dVXio2N1caNG2vztAAAALWqVudgtWnTRkePHg3s33333Tpy5EhtlgAAAHDR1WrAsiwraP/dd9/ViRMnarMEAACAi86WbxECAADUZbUasBwOR41J7ExqBwAAdU2tTnK3LEsjR46U0%2BmUJJ06dUqjR4%2BusUzDW2%2B9VZtlAQAAGFWrAWvEiBFB%2B8OHD6/N0wMAANSKWg1YrN4OAADqgzo/yf3bb7/V8OHD1aJFCzVu3Fg33HCDCgoKAscty9KMGTPk8XgUERGh3r17a8%2BePUHvUVZWJq/XK5fLJZfLJa/Xq2PHjtX2pQAAgBBRpwNWWVmZevTooYYNG%2Bq9997TZ599pnnz5unyyy8P9Jk9e7bmz5%2BvrKwsbdu2TW63W3379tXx48cDfVJSUlRYWKjs7GxlZ2ersLBQXq/XjksCAAAhwLbfIqwNzzzzjGJiYoIeTV5zzTWBvy3L0oIFCzRt2jQNHTpUkrRs2TJFR0dr5cqVGjVqlPbu3avs7Gzl5%2BerW7dukqQlS5YoMTFR%2B/btU9u2bWv1mgAAwKWvTo9grVu3TgkJCfrLX/6iqKgoxcfHa8mSJYHjBw4cUElJiZKTkwNtTqdTvXr1Ul5eniRp8%2BbNcrlcgXAlSd27d5fL5Qr0OVdFRYX8fn/QBgAA6o86HbC%2B%2BuorLVq0SG3atNH777%2Bv0aNHa8KECfr73/8uSSopKZEkRUdHB70uOjo6cKykpERRUVE13jsqKirQ51yZmZmB%2BVoul0sxMTEmLwsAAFzi6nTAqq6u1o033qiMjAzFx8dr1KhRSk1N1aJFi4L6nbvYqWVZQW3nWwz13D4/NXXqVPl8vsBWXFxs4GoAAECoqNMBq1WrVurQoUNQW/v27VVUVCRJcrvdklRjJKq0tDQwquV2u8/7g9RHjx6tMfJ1ltPpVGRkZNAGAADqjzodsHr06KF9%2B/YFte3fv19XX321JCk2NlZut1s5OTmB45WVlcrNzVVSUpIkKTExUT6fT1u3bg302bJli3w%2BX6APAADAT9XpbxE%2B8sgjSkpKUkZGhu666y5t3bpVixcv1uLFiyX9%2BOgvLS1NGRkZatOmjdq0aaOMjAw1btxYKSkpkn4c8erfv79SU1P10ksvSZIeeughDRo0iG8QAgCA86rTAatr165as2aNpk6dqpkzZyo2NlYLFizQvffeG%2Bjz2GOP6eTJkxozZozKysrUrVs3rV%2B/Xk2bNg30WbFihSZMmBD4tuGQIUOUlZVV69cDAABCg8OyLMvuIuo6v98vl8sln89Xr%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%2BffooPj5ey5cv165du/TBBx9IktavX6/PPvtMy5cvV3x8vPr06aN58%2BZpyZIl8vv9dl0SAAC4hNWLgDV27FgNHDhQffr0CWovKChQVVWVkpOTA20ej0dxcXHKy8uTJG3evFlxcXHyeDyBPv369VNFRYUKCgpq5wIAAEBICbO7gItt1apVKigo0Pbt22scKykpUXh4eNColiRFR0erpKQk0Cc6OjroeLNmzRQeHh7oc66KigpVVFQE9hnpAgCgfqnTI1jFxcV6%2BOGHtWLFCjVq1OiCX2dZlhwOR2D/p3//XJ%2BfyszMlMvlCmwxMTG/vXgAABCy6nTAKigoUGlpqbp06aKwsDCFhYUpNzdXzz33nMLCwhQdHa3KykqVlZUFva60tDQwauV2u2uMVJWVlamqqqrGyNZZU6dOlc/nC2zFxcUX5wIBAMAlqU4HrNtvv127du1SYWFhYEtISNC9994b%2BLthw4bKyckJvObw4cPavXu3kpKSJEmJiYnavXu3Dh8%2BHOizfv16OZ1OdenS5bzndTqdioyMDNoAAED9UafnYDVt2lRxcXFBbU2aNFGLFi0C7Q8%2B%2BKAmTpyoFi1aqHnz5po0aZI6deoUmBCfnJysDh06yOv1as6cOfr%2B%2B%2B81adIkpaamEpwAAMB51emAdSGeffZZhYWF6a677tLJkyd1%2B%2B23a%2BnSpWrQoIEkqUGDBnrnnXc0ZswY9ejRQxEREUpJSdHcuXNtrhwAAFyqHJZlWXYXUdf5/X65XC75fL56PeqVMC3b7hLqtO2z%2BttdAgBcUuy8/9bpOVgAAAB2IGABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMKze/9hzqOP3/QAAuPQwggUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMKxOB6zMzEx17dpVTZs2VVRUlO68807t27cvqE9FRYXGjx%2Bvli1bqkmTJhoyZIgOHjwY1KeoqEiDBw9WkyZN1LJlS02YMEGVlZW1eSkAACCE1OmAlZubq7Fjxyo/P185OTk6ffq0kpOTdeLEiUCftLQ0rVmzRqtWrdKmTZtUXl6uQYMG6cyZM5KkM2fOaODAgTpx4oQ2bdqkVatW6c0339TEiRPtuiwAAHCJc1iWZdldRG05evSooqKilJubq1tuuUU%2Bn09XXHGFXnvtNd19992SpEOHDikmJkbvvvuu%2BvXrp/fee0%2BDBg1ScXGxPB6PJGnVqlUaOXKkSktLFRkZ%2Bavn9fv9crlc8vl8F9T/t0iYlm30/RC6ts/qb3cJAHBJuZj3319Tp0ewzuXz%2BSRJzZs3lyQVFBSoqqpKycnJgT4ej0dxcXHKy8uTJG3evFlxcXGBcCVJ/fr1U0VFhQoKCmqxegAAECrC7C6gtliWpfT0dPXs2VNxcXGSpJKSEoWHh6tZs2ZBfaOjo1VSUhLoEx0dHXS8WbNmCg8PD/Q5V0VFhSoqKgL7fr/f5KUAAIBLXL0ZwRo3bpw%2B/fRTvf7667/a17IsORyOwP5P//65Pj%2BVmZkpl8sV2GJiYv79wgEAQMipFwFr/PjxWrdunT766CNdddVVgXa3263KykqVlZUF9S8tLQ2MWrnd7hojVWVlZaqqqqoxsnXW1KlT5fP5AltxcbHhKwIAAJeyOh2wLMvSuHHj9NZbb%2BnDDz9UbGxs0PEuXbqoYcOGysnJCbQdPnxYu3fvVlJSkiQpMTFRu3fv1uHDhwN91q9fL6fTqS5dupz3vE6nU5GRkUEbAACoP%2Br0HKyxY8dq5cqV%2Buc//6mmTZsGRqJcLpciIiLkcrn04IMPauLEiWrRooWaN2%2BuSZMmqVOnTurTp48kKTk5WR06dJDX69WcOXP0/fffa9KkSUpNTSU4AQCA86rTAWvRokWSpN69ewe1v/rqqxo5cqQk6dlnn1VYWJjuuusunTx5UrfffruWLl2qBg0aSJIaNGigd955R2PGjFGPHj0UERGhlJQUzZ07tzYvBQAAhJB6tQ6WXVgHC7WBdbAAIBjrYAEAANQhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAw%2Br0bxEC9Uko/WwSP%2BsDoK5jBAsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMCzM7gIA1D8J07LtLuE32T6rv90lAAgxjGABAAAYRsACAAAwjIB1gV544QXFxsaqUaNG6tKlizZu3Gh3SQAA4BJFwLoAq1evVlpamqZNm6adO3fq5ptv1oABA1RUVGR3aQAA4BLksCzLsruIS123bt104403atGiRYG29u3b684771RmZuavvt7v98vlcsnn8ykyMtJobaE2WRjAxcekfOBHF/P%2B%2B2v4FuGvqKysVEFBgaZMmRLUnpycrLy8vPO%2BpqKiQhUVFYF9n88n6cd/0KadqThh/D0BhLb4SW/aXcIFy53e1%2B4SUIedve/aMZZEwPoV3333nc6cOaPo6Oig9ujoaJWUlJz3NZmZmXrqqadqtMfExFyUGgEgVLnm2V0B6oPjx4/L5XLV6jkJWBfI4XAE7VuWVaPtrKlTpyo9PT2wX11dre%2B//14tWrT42df8Fn6/XzExMSouLq71Ic%2B6hM/RHD5Lc/gszeGzNCOUP0fLsnT8%2BHF5PJ5aPzcB61e0bNlSDRo0qDFaVVpaWmNU6yyn0ymn0xnUdvnllxuvLTIyMuT%2BZb8U8Tmaw2dpDp%2BlOXyWZoTq51jbI1dn8S3CXxEeHq4uXbooJycnqD0nJ0dJSUk2VQUAAC5ljGBdgPT0dHm9XiUkJCgxMVGLFy9WUVGRRo8ebXdpAADgEtRgxowZM%2Bwu4lIXFxenFi1aKCMjQ3PnztXJkyf12muvqXPnzrbV1KBBA/Xu3VthYWTk34PP0Rw%2BS3P4LM3hszSDz/G3Yx0sAAAAw5iDBQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWCHmhRdeUGxsrBo1aqQuXbpo48aNdpcUcjIzM9W1a1c1bdpUUVFRuvPOO7Vv3z67y6oTMjMz5XA4lJaWZncpIefbb7/V8OHD1aJFCzVu3Fg33HCDCgoK7C4r5Jw%2BfVpPPPGEYmNjFRERoWuvvVYzZ85UdXW13aVd8jZs2KDBgwfL4/HI4XBo7dq1Qccty9KMGTPk8XgUERGh3r17a8%2BePTZVe%2BkjYIWQ1atXKy0tTdOmTdPOnTt18803a8CAASoqKrK7tJCSm5ursWPHKj8/Xzk5OTp9%2BrSSk5N14gQ/nP17bNu2TYsXL9b1119vdykhp6ysTD169FDDhg313nvv6bPPPtO8efMuyi9A1HXPPPOMXnzxRWVlZWnv3r2aPXu25syZo4ULF9pd2iXvxIkT6ty5s7Kyss57fPbs2Zo/f76ysrK0bds2ud1u9e3bV8ePH6/lSkOEhZBx0003WaNHjw5qa9eunTVlyhSbKqobSktLLUlWbm6u3aWErOPHj1tt2rSxcnJyrF69elkPP/yw3SWFlMmTJ1s9e/a0u4w6YeDAgdYDDzwQ1DZ06FBr%2BPDhNlUUmiRZa9asCexXV1dbbrfbevrppwNtp06dslwul/Xiiy/aUeIljxGsEFFZWamCggIlJycHtScnJysvL8%2BmquoGn88nSWrevLnNlYSusWPHauDAgerTp4/dpYSkdevWKSEhQX/5y18UFRWl%2BPh4LVmyxO6yQlLPnj31r3/9S/v375ckffLJJ9q0aZPuuOMOmysLbQcOHFBJSUnQPcjpdKpXr17cg34GS7KGiO%2B%2B%2B05nzpyp8QPT0dHRNX6IGhfOsiylp6erZ8%2BeiouLs7uckLRq1SoVFBRo%2B/btdpcSsr766istWrRI6enpevzxx7V161ZNmDBBTqdT9913n93lhZTJkyfL5/OpXbt2atCggc6cOaNZs2bpnnvusbu0kHb2PnO%2Be9A333xjR0mXPAJWiHE4HEH7lmXVaMOFGzdunD799FNt2rTJ7lJCUnFxsR5%2B%2BGGtX79ejRo1sruckFVdXa2EhARlZGRIkuLj47Vnzx4tWrSIgPUbrV69WsuXL9fKlSvVsWNHFRYWKi0tTR6PRyNGjLC7vJDHPejCEbBCRMuWLdWgQYMao1WlpaU1/o8CF2b8%2BPFat26dNmzYoKuuusruckJSQUGBSktL1aVLl0DbmTNntGHDBmVlZamiokINGjSwscLQ0KpVK3Xo0CGorX379nrzzTdtqih0Pfroo5oyZYqGDRsmSerUqZO%2B%2BeYbZWZmErB%2BB7fbLenHkaxWrVoF2rkH/TzmYIWI8PBwdenSRTk5OUHtOTk5SkpKsqmq0GRZlsaNG6e33npLH374oWJjY%2B0uKWTdfvvt2rVrlwoLCwNbQkKC7r33XhUWFhKuLlCPHj1qLBWyf/9%2BXX311TZVFLp%2B%2BOEHXXZZ8K2tQYMGLNPwO8XGxsrtdgfdgyorK5Wbm8s96GcwghVC0tPT5fV6lZCQoMTERC1evFhFRUUaPXq03aWFlLFjx2rlypX65z//qaZNmwZGBV0ulyIiImyuLrQ0bdq0xty1Jk2aqEWLFsxp%2Bw0eeeQRJSUlKSMjQ3fddZe2bt2qxYsXa/HixXaXFnIGDx6sWbNmqXXr1urYsaN27typ%2BfPn64EHHrC7tEteeXm5vvjii8D%2BgQMHVFhYqObNm6t169ZKS0tTRkaG2rRpozZt2igjI0ONGzdWSkqKjVVfwuz9EiN%2Bq%2Beff966%2BuqrrfDwcOvGG29kaYF/g6Tzbq%2B%2B%2BqrdpdUJLNPw73n77betuLg4y%2Bl0Wu3atbMWL15sd0khye/3Ww8//LDVunVrq1GjRta1115rTZs2zaqoqLC7tEveRx99dN7/No4YMcKyrB%2BXavjrX/9qud1uy%2Bl0Wrfccou1a9cue4u%2BhDksy7JsynYAAAB1EnOwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAY9v8BqFp3SBQPxeMAAAAASUVORK5CYII%3D\"/>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common466460745059663016\">\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\">2.0</td>\n",
" <td class=\"number\">238</td>\n",
" <td class=\"number\">6.3%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:20%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1.8</td>\n",
" <td class=\"number\">207</td>\n",
" <td class=\"number\">5.5%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:17%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2.2</td>\n",
" <td class=\"number\">201</td>\n",
" <td class=\"number\">5.3%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:17%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1.9</td>\n",
" <td class=\"number\">189</td>\n",
" <td class=\"number\">5.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:16%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2.1</td>\n",
" <td class=\"number\">184</td>\n",
" <td class=\"number\">4.9%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:16%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2.3</td>\n",
" <td class=\"number\">183</td>\n",
" <td class=\"number\">4.9%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:16%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1.6</td>\n",
" <td class=\"number\">159</td>\n",
" <td class=\"number\">4.2%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1.7</td>\n",
" <td class=\"number\">157</td>\n",
" <td class=\"number\">4.2%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1.5</td>\n",
" <td class=\"number\">141</td>\n",
" <td class=\"number\">3.7%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2.4</td>\n",
" <td class=\"number\">137</td>\n",
" <td class=\"number\">3.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"other\">\n",
" <td class=\"fillremaining\">Other values (59)</td>\n",
" <td class=\"number\">1207</td>\n",
" <td class=\"number\">32.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"missing\">\n",
" <td class=\"fillremaining\">(Missing)</td>\n",
" <td class=\"number\">769</td>\n",
" <td class=\"number\">20.4%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:64%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme466460745059663016\">\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\">0.05</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0.1</td>\n",
" <td class=\"number\">2</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0.2</td>\n",
" <td class=\"number\">18</td>\n",
" <td class=\"number\">0.5%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:82%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0.3</td>\n",
" <td class=\"number\">22</td>\n",
" <td class=\"number\">0.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0.4</td>\n",
" <td class=\"number\">20</td>\n",
" <td class=\"number\">0.5%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:91%\">&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\">7.1</td>\n",
" <td class=\"number\">2</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\">7.3</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">7.6</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">8.5</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">10.6</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&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_T4U\">T4U<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>147</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Unique (%)</th>\n",
" <td>3.9%</td>\n",
" </tr>\n",
" <tr class=\"alert\">\n",
" <th>Missing (%)</th>\n",
" <td>10.3%</td>\n",
" </tr>\n",
" <tr class=\"alert\">\n",
" <th>Missing (n)</th>\n",
" <td>387</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>0.995</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>0.25</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>2.32</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=\"minihistogram4330533368380202852\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAAdRJREFUeJzt3DGO00AYhuHfEa2dPooPgcQVkDgQ3Up0lByFnpaeWyTKAWxRUBBTLKH8tFnt2jF5ntrxjKV5NU7kuJmmaaqZHY/H6vt%2B7mFZucPhUPv9ftYx38w62l9t21bV4wV3XbfEFFiRYRiq7/t/62ZOiwTSNE1VVXVdt6pA3j18u%2Br4H58/vNJM7tNl3cxpM/uIsCICgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCBY5MVxt%2BDal8Bxn%2BwgEAgEgru9xZrDc27jvM/3tthBIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUDgcfcb4xH522IHgeC/2EHu/f/l116/HefpFglkmqaqqhqG4UXO9/vXzxc5z714%2B/Hr1Z/5/un9K8zkaS7r5LJu5rRIIOM4VlVV3/dLDM8zbL8sPYPHdbPdbmcds5kWyPJ8PtfpdKq2batpmrmHZ2WmaapxHGu329VmM%2B/X5kUCgbXwKxYEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCwR8mzkxHY109XwAAAABJRU5ErkJggg%3D%3D\">\n",
"\n",
"</div>\n",
"<div class=\"col-md-12 text-right\">\n",
" <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives4330533368380202852,#minihistogram4330533368380202852\"\n",
" aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"row collapse col-md-12\" id=\"descriptives4330533368380202852\">\n",
" <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
" <li role=\"presentation\" class=\"active\"><a href=\"#quantiles4330533368380202852\"\n",
" aria-controls=\"quantiles4330533368380202852\" role=\"tab\"\n",
" data-toggle=\"tab\">Statistics</a></li>\n",
" <li role=\"presentation\"><a href=\"#histogram4330533368380202852\" aria-controls=\"histogram4330533368380202852\"\n",
" role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
" <li role=\"presentation\"><a href=\"#common4330533368380202852\" aria-controls=\"common4330533368380202852\"\n",
" role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
" <li role=\"presentation\"><a href=\"#extreme4330533368380202852\" aria-controls=\"extreme4330533368380202852\"\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=\"quantiles4330533368380202852\">\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>0.25</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5-th percentile</th>\n",
" <td>0.74</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q1</th>\n",
" <td>0.88</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Median</th>\n",
" <td>0.98</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q3</th>\n",
" <td>1.08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95-th percentile</th>\n",
" <td>1.34</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>2.32</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Range</th>\n",
" <td>2.07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Interquartile range</th>\n",
" <td>0.2</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>0.19546</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Coef of variation</th>\n",
" <td>0.19644</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Kurtosis</th>\n",
" <td>4.0735</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>0.995</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MAD</th>\n",
" <td>0.13999</td>\n",
" </tr>\n",
" <tr class=\"\">\n",
" <th>Skewness</th>\n",
" <td>1.2327</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sum</th>\n",
" <td>3368.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Variance</th>\n",
" <td>0.038204</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory size</th>\n",
" <td>29.5 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=\"histogram4330533368380202852\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAIABJREFUeJzt3X9UVPW%2B//HXJDKSVyZ/BOMoJrWUVMxUTFELTUU9/qhc52qXmrTTJb1aHEL7Yd662r1BlpknLU3vKTyl2Wn5I8%2ByCLoZ6gJ/gFLZ8aKVBSYI3nBGPAqo%2B/tHX2c1gmW1nc3A87HWXov92Z89%2B73dC%2BblZ39mj80wDEMAAAAwzVVWFwAAANDUELAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMFmJ1Ac3B%2BfPndfToUbVp00Y2m83qcgAAaBYMw9DJkyflcrl01VWBHVMiYAXA0aNHFRUVZXUZAAA0S6WlpercuXNAj0nACoA2bdpI%2BuECh4eHW1wNAADNg9frVVRUlO99OJAIWAFw4bZgeHg4AQsAgACzYnoOk9wBAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACT8WXPQBMRNy/L6hIuW8GzY6wuAQCuKEawAAAATEbAAgAAMBkBCwAAwGQELAAAAJMFdcDatm2bJkyYIJfLJZvNpk2bNtXrc%2BDAAU2cOFEOh0Nt2rTRoEGDVFJS4tteU1Ojhx9%2BWB06dFDr1q01ceJEHTlyxO81SkpKNGHCBLVu3VodOnRQSkqKamtrr/j5AQCA4BTUAevUqVPq06ePli1b1uD2r776SkOHDtWNN96oTz75RJ9%2B%2BqmeeuoptWrVytcnNTVVGzdu1Lp167Rjxw5VV1dr/PjxOnfunCTp3LlzGjdunE6dOqUdO3Zo3bp1Wr9%2BvWbPnh2QcwQAAMHHZhiGYXURZrDZbNq4caPuvPNOX9vdd9%2Btli1b6s0332xwH4/Ho2uvvVZvvvmmpkyZIkk6evSooqKi9P7772v06NH64IMPNH78eJWWlsrlckmS1q1bp2nTpqmiokLh4eE/W5vX65XD4ZDH47ms/sCvwWMaAMCfle%2B/QT2C9VPOnz%2BvLVu2qHv37ho9erQiIiI0cOBAv9uIhYWFqqurU2Jioq/N5XIpNjZWeXl5kqT8/HzFxsb6wpUkjR49WjU1NSosLAzcCQEAgKDRZANWRUWFqqur9dxzz2nMmDHKzs7WXXfdpUmTJik3N1eSVF5ertDQULVt29Zv38jISJWXl/v6REZG%2Bm1v27atQkNDfX0uVlNTI6/X67cAAIDmo8k%2Byf38%2BfOSpDvuuEOPPPKIJOnmm29WXl6eVqxYoYSEhEvuaxiGbDabb/3HP1%2Bqz49lZGRowYIFv6V8AAAQxJrsCFaHDh0UEhKinj17%2BrX36NHD9ylCp9Op2tpaVVVV%2BfWpqKjwjVo5nc56I1VVVVWqq6urN7J1wdy5c%2BXxeHxLaWmpWacFAACCQJMNWKGhoRowYICKi4v92g8ePKjrrrtOktS/f3%2B1bNlSOTk5vu1lZWXav3%2B/Bg8eLEmKj4/X/v37VVZW5uuTnZ0tu92u/v37N3hsu92u8PBwvwUAADQfQX2LsLq6Wl9%2B%2BaVv/fDhwyoqKlK7du3UpUsXPfroo5oyZYpuu%2B02DR8%2BXFlZWfrb3/6mTz75RJLkcDj0wAMPaPbs2Wrfvr3atWunOXPmqHfv3ho5cqQkKTExUT179pTb7dYLL7yg77//XnPmzFFycjLBCQAANCioA1ZBQYGGDx/uW09LS5MkTZ06VZmZmbrrrru0YsUKZWRkKCUlRTExMVq/fr2GDh3q2%2Bell15SSEiIJk%2BerNOnT2vEiBHKzMxUixYtJEktWrTQli1bNHPmTA0ZMkRhYWFKSkrSokWLAnuyAAAgaDSZ52A1ZjwHC4HAc7AAwB/PwQIAAGhCCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmC%2BqAtW3bNk2YMEEul0s2m02bNm26ZN/p06fLZrNpyZIlfu1VVVVyu91yOBxyOBxyu906ceKEX5/PP/9cCQkJCgsLU6dOnfTMM8/IMIwrck4AACD4BXXAOnXqlPr06aNly5b9ZL9NmzZp165dcrlc9bYlJSWpqKhIWVlZysrKUlFRkdxut2%2B71%2BvVqFGj5HK5tGfPHi1dulSLFi3S4sWLTT8fAADQNIRYXcBvMXbsWI0dO/Yn%2B3z33Xd66KGH9OGHH2rcuHF%2B2w4cOKCsrCzt3LlTAwcOlCStWrVK8fHxKi4uVkxMjNasWaMzZ84oMzNTdrtdsbGxOnjwoBYvXqy0tDTZbLYrdn4AACA4BfUI1s85f/683G63Hn30UfXq1ave9vz8fDkcDl%2B4kqRBgwbJ4XAoLy/P1ychIUF2u93XZ/To0Tp69Ki%2B%2BeabK34OAAAg%2BDTpgLVw4UKFhIQoJSWlwe3l5eWKiIio1x4REaHy8nJfn8jISL/tF9Yv9LlYTU2NvF6v3wIAAJqPJhuwCgsL9ac//UmZmZk/eRuvoW2GYfi1X9znwgT3S71uRkaGb9K8w%2BFQVFTUrzkFAAAQpJpswNq%2BfbsqKirUpUsXhYSEKCQkRN9%2B%2B61mz56trl27SpKcTqeOHTtWb9/KykrfKJXT6aw3UlVRUSFJ9Ua2Lpg7d648Ho9vKS0tNfHMAABAYxfUk9x/itvt1siRI/3aRo8eLbfbrfvvv1%2BSFB8fL4/Ho927d%2BuWW26RJO3atUsej0eDBw/29XnyySdVW1ur0NBQSVJ2drZcLpcvqF3Mbrf7zdkCAADNS1AHrOrqan355Ze%2B9cOHD6uoqEjt2rVTly5d1L59e7/%2BLVu2lNPpVExMjCSpR48eGjNmjJKTk/Xaa69Jkh588EGNHz/e1ycpKUkLFizQtGnT9OSTT%2BrQoUNKT0/X008/zScIAQBAg4L6FmFBQYH69u2rvn37SpLS0tLUt29fPf3005f9GmvWrFHv3r2VmJioxMRE3XTTTXrzzTd92x0Oh3JycnTkyBHFxcVp5syZSktLU1pamunnAwAAmgabwSPJrziv1yuHwyGPx6Pw8HCry0ETFTcvy%2BoSLlvBs2OsLgFAM2Dl%2B29Qj2ABAAA0RgQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkwV1wNq2bZsmTJggl8slm82mTZs2%2BbbV1dXp8ccfV%2B/evdW6dWu5XC7dd999Onr0qN9rVFVVye12y%2BFwyOFwyO1268SJE359Pv/8cyUkJCgsLEydOnXSM888I8MwAnKOAAAg%2BAR1wDp16pT69OmjZcuW1dv2j3/8Q3v37tVTTz2lvXv3asOGDTp48KAmTpzo1y8pKUlFRUXKyspSVlaWioqK5Ha7fdu9Xq9GjRoll8ulPXv2aOnSpVq0aJEWL158xc8PAAAEpxCrC/gtxo4dq7Fjxza4zeFwKCcnx69t6dKluuWWW1RSUqIuXbrowIEDysrK0s6dOzVw4EBJ0qpVqxQfH6/i4mLFxMRozZo1OnPmjDIzM2W32xUbG6uDBw9q8eLFSktLk81mu%2BLnCQAAgktQj2D9Uh6PRzabTddcc40kKT8/Xw6HwxeuJGnQoEFyOBzKy8vz9UlISJDdbvf1GT16tI4ePapvvvmmwePU1NTI6/X6LQAAoPloNgHrzJkzeuKJJ5SUlKTw8HBJUnl5uSIiIur1jYiIUHl5ua9PZGSk3/YL6xf6XCwjI8M3p8vhcCgqKsrMUwEAAI1cswhYdXV1uvvuu3X%2B/Hm9%2BuqrftsausVnGIZf%2B8V9Lkxwv9Ttwblz58rj8fiW0tLS33oKAAAgiAT1HKzLUVdXp8mTJ%2Bvw4cP6%2BOOPfaNXkuR0OnXs2LF6%2B1RWVvpGqZxOZ72RqoqKCkmqN7J1gd1u97ulCAAAmpcmPYJ1IVwdOnRIH330kdq3b%2B%2B3PT4%2BXh6PR7t37/a17dq1Sx6PR4MHD/b12bZtm2pra319srOz5XK51LVr14CcBwAACC5BHbCqq6tVVFSkoqIiSdLhw4dVVFSkkpISnT17Vr///e9VUFCgNWvW6Ny5cyovL1d5ebkvLPXo0UNjxoxRcnKydu7cqZ07dyo5OVnjx49XTEyMpB8e42C32zVt2jTt379fGzduVHp6Op8gBAAAlxTUtwgLCgo0fPhw33paWpokaerUqZo/f742b94sSbr55pv99tu6dauGDRsmSVqzZo1SUlKUmJgoSZo4caLfc7UuPO5h1qxZiouLU9u2bZWWluY7FgAAwMVsBo8kv%2BK8Xq8cDoc8Ho/fHDDATHHzsqwu4bIVPDvG6hIANANWvv8G9S1CAACAxoiABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYzJKA9dZbb%2BnMmTNWHBoAAOCKsyRgpaWlyel0avr06dq9e7cVJQAAAFwxlgSso0eP6vXXX1dZWZmGDh2qXr166cUXX1RlZaUV5QAAAJjKkoAVEhKiSZMmafPmzSopKdHUqVP1%2Buuvq3Pnzpo0aZK2bNkiwzCsKA0AAOA3s3ySu9Pp1IgRIzRs2DDZbDYVFBQoKSlJ3bp10/bt260uDwAA4BezLGAdP35cS5YsUZ8%2BfTRkyBBVVFRo06ZN%2Bvbbb/Xdd99p/Pjxuu%2B%2B%2B37yNbZt26YJEybI5XLJZrNp06ZNftsNw9D8%2BfPlcrkUFhamYcOG6YsvvvDrU1VVJbfbLYfDIYfDIbfbrRMnTvj1%2Bfzzz5WQkKCwsDB16tRJzzzzDCNsAADgkiwJWHfddZc6deqkFStWyO12q7S0VO%2B%2B%2B67GjBkjm82mf/qnf9Jjjz2mb7/99idf59SpU%2BrTp4%2BWLVvW4Pbnn39eixcv1rJly7Rnzx45nU6NGjVKJ0%2Be9PVJSkpSUVGRsrKylJWVpaKiIrndbt92r9erUaNGyeVyac%2BePVq6dKkWLVqkxYsXm/OPAQAAmpwQKw4aHh6ujz76SLfeeusl%2B3Ts2FGHDh36ydcZO3asxo4d2%2BA2wzC0ZMkSzZs3T5MmTZIkrV69WpGRkVq7dq2mT5%2BuAwcOKCsrSzt37tTAgQMlSatWrVJ8fLyKi4sVExOjNWvW6MyZM8rMzJTdbldsbKwOHjyoxYsXKy0tTTab7Vf%2BKwAAgKbKkhGs1atX/2S4kiSbzaYbbrjhVx/j8OHDKi8vV2Jioq/NbrcrISFBeXl5kqT8/Hw5HA5fuJKkQYMGyeFw%2BPVJSEiQ3W739Rk9erSOHj2qb775psFj19TUyOv1%2Bi0AAKD5sCRgPfLIIw3e1nvllVc0e/ZsU45RXl4uSYqMjPRrj4yM9G0rLy9XREREvX0jIiL8%2BjT0Gj8%2BxsUyMjJ8c7ocDoeioqJ%2B28kAAICgYknAevfddzVo0KB67fHx8XrnnXdMPdbFt/AMw/Bra%2BgW38/1uTDB/VK3B%2BfOnSuPx%2BNbSktLf3X9AAAg%2BFgyB%2Bv48eNq27Ztvfbw8HAdP37clGM4nU5JP4wydezY0ddeUVHhG4FyOp06duxYvX0rKyv9%2Blw8UlVRUSGp/ujYBXa73e%2BWIgAAaF4sGcG64YYb9OGHH9Zr//DDDxUdHW3KMaKjo%2BV0OpWTk%2BNrq62tVW5urgYPHizphxEzj8fj93U9u3btksfj8euzbds21dbW%2BvpkZ2fL5XKpa9euptQKAACaFktGsFJTU5Wamqr/%2B7//0%2B233y5J%2Bp//%2BR89//zzWrRo0WW/TnV1tb788kvf%2BuHDh1VUVKR27dqpS5cuSk1NVXp6urp166Zu3bopPT1dV199tZKSkiRJPXr00JgxY5ScnKzXXntNkvTggw9q/PjxiomJkfTDYxwWLFigadOm6cknn9ShQ4eUnp6up59%2Bmk8QAgCABlkSsJKTk3XmzBmlp6frP/7jPyRJnTt31ssvv6w//OEPl/06BQUFGj58uG89LS1NkjR16lRlZmbqscce0%2BnTpzVz5kxVVVVp4MCBys7OVps2bXz7rFmzRikpKb5PG06cONFvAr7D4VBOTo5mzZqluLg4tW3bVmlpab5jAQAAXMxmWPxI8rKyMoWFhemaa66xsowryuv1yuFwyOPxKDw83Opy0ETFzcuyuoTLVvDsGKtLANAMWPn%2Ba8kI1o/9eAI6AABAU2DJJPfKykrdf//96tKli1q1aqXQ0FC/BQAAIJhZMoI1bdo0ffXVV3r00UfVsWNHJosDAIAmxZKAtW3bNm3btk19%2B/a14vAAAABXlCW3CDt37syoFQAAaLIsCVgvvfSS5s6dqyNHjlhxeAAAgCvKkluEbrdbJ0%2Be1HXXXafw8HC1bNnSb/uFr6IBAAAIRpYErOeee86KwwIAAASEJQHrgQcesOKwAAAAAWHJHCxJ%2BuabbzR//ny53W7fLcHs7GwdOHDAqpIAAABMYUnA2r59u3r16qXc3Fz99a9/VXV1tSRp7969evrpp60oCQAAwDSWBKzHH39c8%2BfP19atW/2e3H777bdr586dVpQEAABgGksC1meffabf//739dojIiJUWVlpQUUAAADmsSRgXXPNNSovL6/XXlRUpE6dOllQEQAAgHksCVh33323nnjiCVVWVvqe6L5r1y7NmTNH9957rxUlAQAAmMaSgJWeni6n06mOHTuqurpaPXv21ODBgzVgwAA99dRTVpQEAABgGkuegxUaGqp33nlHBw8e1N69e3X%2B/Hn169dPN954oxXlAAAAmMqSgHVB9%2B7d1b17dytLAAAAMJ0lAevBBx/8ye0rV64MUCUAAADmsyRglZWV%2Ba3X1dXpiy%2B%2B0MmTJ3XbbbdZURIAAIBpLAlYf/vb3%2Bq1nT17Vv/2b/%2BmHj16WFARAACAeSz7LsKLhYSEaM6cOXrhhResLgUAAOA3aTQBS5K%2B/vpr1dXVWV0GAADAb2LJLcLHHnvMb90wDJWVlWnz5s265557rCgJAADANJYErPz8fL/1q666Stdee62ee%2B45JScnW1ESAACAaSwJWNu3b7fisAAAAAHRqOZgme3s2bP693//d0VHRyssLEzXX3%2B9nnnmGZ0/f97XxzAMzZ8/Xy6XS2FhYRo2bJi%2B%2BOILv9epqqqS2%2B2Ww%2BGQw%2BGQ2%2B3WiRMnAn06AAAgSFgygjVgwADflzz/nN27d//q4yxcuFArVqzQ6tWr1atXLxUUFOj%2B%2B%2B%2BXw%2BHQH//4R0nS888/r8WLFyszM1Pdu3fXf/3Xf2nUqFEqLi5WmzZtJElJSUk6cuSIsrKyJP3woFS3293g4yYAAAAsCVjDhw/Xa6%2B9pu7duys%2BPl6StHPnThUXF2v69Omy2%2B2mHCc/P1933HGHxo0bJ0nq2rWr3n77bRUUFEj6YfRqyZIlmjdvniZNmiRJWr16tSIjI7V27VpNnz5dBw4cUFZWlnbu3KmBAwdKklatWqX4%2BHgVFxcrJibGlFoBAEDTYUnAOnHihGbNmqX09HS/9nnz5unYsWP67//%2Bb1OOM3ToUK1YsUIHDx5U9%2B7d9emnn2rHjh1asmSJJOnw4cMqLy9XYmKibx%2B73a6EhATl5eVp%2BvTpys/Pl8Ph8IUrSRo0aJAcDofy8vIaDFg1NTWqqanxrXu9XlPOBwAABAdLAtZf//pX7dmzp177tGnTFBcXZ1rAevzxx%2BXxeHTjjTeqRYsWOnfunJ599ln9y7/8iySpvLxckhQZGem3X2RkpL799ltfn4iIiHqvHRER4dv/YhkZGVqwYIEp5wAAAIKPJZPc7Xa78vLy6rXn5eWZdntQkt555x299dZbWrt2rfbu3avVq1dr0aJFWr16tV%2B/i%2BeDGYbh19bQfLGL%2B/zY3Llz5fF4fEtpaakJZwMAAIKFJSNYKSkpmjFjhvbt26dBgwZJ%2BmEO1qpVq/Tkk0%2BadpxHH31UTzzxhO6%2B%2B25JUu/evfXtt98qIyNDU6dOldPplPTDKFXHjh19%2B1VUVPhGtZxOp44dO1bvtSsrK%2BuNfF1gt9tNDYoAACC4WBKw5s2bp%2BjoaP3pT3/S66%2B/Lknq0aOHVq1apaSkJNOO849//ENXXeU/SNeiRQvfYxqio6PldDqVk5Ojvn37SpJqa2uVm5urhQsXSpLi4%2BPl8Xi0e/du3XLLLZKkXbt2yePxaPDgwabVCgAAmg5LApb0w6MPzAxTDZkwYYKeffZZdenSRb169dK%2Bffu0ePFi/eEPf5D0w62/1NRUpaenq1u3burWrZvS09N19dVX%2B2rr0aOHxowZo%2BTkZL322muSfnhMw/jx4/kEIQAAaJBlAcvr9WrDhg36%2Buuv9cgjj6ht27b69NNPFRER4Xe77rdYunSpnnrqKc2cOVMVFRVyuVyaPn26nn76aV%2Bfxx57TKdPn9bMmTNVVVWlgQMHKjs72/cMLElas2aNUlJSfJ82nDhxopYtW2ZKjQAAoOmxGYZhBPqg%2B/fv18iRI3X11VertLRUxcXFuv766zVv3jwdOXKk3iT0YOf1euVwOOTxeBQeHm51ObhMcfOyrC6hySp4dozVJQBoBqx8/7XkU4SPPPKIkpKS9NVXX6lVq1a%2B9nHjxmnbtm1WlAQAAGAaS24R7tmzR8uXL6/3mINOnTqprKzMipIAAABMY8kIVmhoqKqrq%2Bu1Hzp0SB06dLCgIgAAAPNYErAmTpyo//zP/9TZs2cl/fBpvu%2B%2B%2B05PPPGE7zsBAQAAgpUlAevFF1/U0aNH5XQ6dfr0ad1%2B%2B%2B26/vrr1apVq3rfTwgAABBsLJmDdeGLknNycrR3716dP39e/fr10%2BjRoy/59TMAAADBIuABq66uTr/73e/06quvKjEx0fdsKQAAgKYi4LcIW7ZsqX379jFSBQAAmixL5mDde%2B%2B9euONN6w4NAAAwBVn2VflLFu2TB999JHi4uLUunVrv23PP/%2B8RVUBAAD8dpYErMLCQt10002SpM8%2B%2B8xvG7cOAQBAsAtowPr6668VHR2t7du3B/KwAAAAARXQOVjdunVTZWWlb33KlCk6duxYIEsAAAC44gIasAzD8Ft///33derUqUCWAAAAcMVZ8ilCAACApiygActms9WbxM6kdgAA0NQEdJK7YRiaNm2a7Ha7JOnMmTOaMWNGvcc0bNiwIZBlAQiwuHlZVpfwixQ8O8bqEgAEmYAGrKlTp/qt33vvvYE8PAAAQEAENGDx9HYAANAcMMkdAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAEzW5APWd999p3vvvVft27fX1VdfrZtvvlmFhYW%2B7YZhaP78%2BXK5XAoLC9OwYcP0xRdf%2BL1GVVWV3G63HA6HHA6H3G63Tpw4EehTAQAAQaJJB6yqqioNGTJELVu21AcffKC///3vevHFF3XNNdf4%2Bjz//PNavHixli1bpj179sjpdGrUqFE6efKkr09SUpKKioqUlZWlrKwsFRUVye12W3FKAAAgCAT0Se6BtnDhQkVFRfk9Qb5r166%2Bnw3D0JIlSzRv3jxNmjRJkrR69WpFRkZq7dq1mj59ug4cOKCsrCzt3LlTAwcOlCStWrVK8fHxKi4uVkxMTEDPCQAANH5NegRr8%2BbNiouL0z//8z8rIiJCffv21apVq3zbDx8%2BrPLyciUmJvra7Ha7EhISlJeXJ0nKz8%2BXw%2BHwhStJGjRokBwOh6/PxWpqauT1ev0WAADQfDTpgPX1119r%2BfLl6tatmz788EPNmDFDKSkp%2Bstf/iJJKi8vlyRFRkb67RcZGenbVl5eroiIiHqvHRER4etzsYyMDN98LYfDoaioKDNPCwAANHJNOmCdP39e/fr1U3p6uvr27avp06crOTlZy5cv9%2Btns9n81g3D8Gu7eHtDfX5s7ty58ng8vqW0tNSEswEAAMGiSQesjh07qmfPnn5tPXr0UElJiSTJ6XRKUr2RqIqKCt%2BoltPp1LFjx%2Bq9dmVlZb2RrwvsdrvCw8P9FgAA0Hw06YA1ZMgQFRcX%2B7UdPHhQ1113nSQpOjpaTqdTOTk5vu21tbXKzc3V4MGDJUnx8fHyeDzavXu3r8%2BuXbvk8Xh8fQAAAH6sSX%2BK8JFHHtHgwYOVnp6uyZMna/fu3Vq5cqVWrlwp6Ydbf6mpqUpPT1e3bt3UrVs3paen6%2Bqrr1ZSUpKkH0a8xowZo%2BTkZL322muSpAcffFDjx4/nE4QAAKBBTTpgDRgwQBs3btTcuXP1zDPPKDo6WkuWLNE999zj6/PYY4/p9OnTmjlzpqqqqjRw4EBlZ2erTZs2vj5r1qxRSkqK79OGEydO1LJlywJ%2BPgAAIDjYDMMwrC6iqfN6vXI4HPJ4PMzHCiJx87KsLgGNRMGzY6wuAcCvYOX7b5OegwUAAGAFAhYAAIDJCFgAAAAmI2ABAACYjIAFAAAvxzY6AAAQD0lEQVRgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJmlXAysjIkM1mU2pqqq%2BtpqZGDz/8sDp06KDWrVtr4sSJOnLkiN9%2BJSUlmjBhglq3bq0OHTooJSVFtbW1gS4fAAAEiWYTsPbs2aOVK1fqpptu8mtPTU3Vxo0btW7dOu3YsUPV1dUaP368zp07J0k6d%2B6cxo0bp1OnTmnHjh1at26d1q9fr9mzZ1txGgAAIAg0i4BVXV2te%2B65R6tWrVLbtm197R6PR3/%2B85/14osvauTIkerbt6/eeustff755/roo48kSdnZ2fr73/%2But956S3379tXIkSP14osvatWqVfJ6vVadEgAAaMSaRcCaNWuWxo0bp5EjR/q1FxYWqq6uTomJib42l8ul2NhY5eXlSZLy8/MVGxsrl8vl6zN69GjV1NSosLCwwePV1NTI6/X6LQAAoPkIsbqAK23dunUqLCxUQUFBvW3l5eUKDQ31G9WSpMjISJWXl/v6REZG%2Bm1v27atQkNDfX0ulpGRoQULFph0BgAAINg06RGs0tJS/fGPf9SaNWvUqlWry97PMAzZbDbf%2Bo9/vlSfH5s7d648Ho9vKS0t/eXFAwCAoNWkA1ZhYaEqKirUv39/hYSEKCQkRLm5uXr55ZcVEhKiyMhI1dbWqqqqym%2B/iooK36iV0%2BmsN1JVVVWlurq6eiNbF9jtdoWHh/stAACg%2BWjSAWvEiBH6/PPPVVRU5Fvi4uJ0zz33%2BH5u2bKlcnJyfPuUlZVp//79Gjx4sCQpPj5e%2B/fvV1lZma9Pdna27Ha7%2BvfvH/BzAgAAjV%2BTnoPVpk0bxcbG%2BrW1bt1a7du397U/8MADmj17ttq3b6927dppzpw56t27t29CfGJionr27Cm3260XXnhB33//vebMmaPk5GRGpgAAQIOadMC6HC%2B99JJCQkI0efJknT59WiNGjFBmZqZatGghSWrRooW2bNmimTNnasiQIQoLC1NSUpIWLVpkceUAAKCxshmGYVhdRFPn9XrlcDjk8XgY9QoicfOyrC4BjUTBs2OsLgHAr2Dl%2B2%2BTnoMFAABgBQIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyZp0wMrIyNCAAQPUpk0bRURE6M4771RxcbFfn5qaGj388MPq0KGDWrdurYkTJ%2BrIkSN%2BfUpKSjRhwgS1bt1aHTp0UEpKimprawN5KgAAIIg06YCVm5urWbNmaefOncrJydHZs2eVmJioU6dO%2BfqkpqZq48aNWrdunXbs2KHq6mqNHz9e586dkySdO3dO48aN06lTp7Rjxw6tW7dO69ev1%2BzZs606LQAA0MjZDMMwrC4iUCorKxUREaHc3Fzddttt8ng8uvbaa/Xmm29qypQpkqSjR48qKipK77//vkaPHq0PPvhA48ePV2lpqVwulyRp3bp1mjZtmioqKhQeHv6zx/V6vXI4HPJ4PJfVH41D3Lwsq0tAI1Hw7BirSwDwK1j5/tukR7Au5vF4JEnt2rWTJBUWFqqurk6JiYm%2BPi6XS7GxscrLy5Mk5efnKzY21heuJGn06NGqqalRYWFhg8epqamR1%2Bv1WwAAQPPRbAKWYRhKS0vT0KFDFRsbK0kqLy9XaGio2rZt69c3MjJS5eXlvj6RkZF%2B29u2bavQ0FBfn4tlZGTI4XD4lqioqCtwRgAAoLFqNgHroYce0meffaa33377Z/sahiGbzeZb//HPl%2BrzY3PnzpXH4/EtpaWlv75wAAAQdJpFwHr44Ye1efNmbd26VZ07d/a1O51O1dbWqqqqyq9/RUWFb9TK6XTWG6mqqqpSXV1dvZGtC%2Bx2u8LDw/0WAADQfDTpgGUYhh566CFt2LBBH3/8saKjo/229%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%2BbgQAgF%2BLgAUATUww/WeG701EU8UtQgAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACT8SlCAIBlgukTjxKfesTlYwTrMr366quKjo5Wq1at1L9/f23fvt3qkgAAQCNFwLoM77zzjlJTUzVv3jzt27dPt956q8aOHauSkhKrSwMAAI0QAesyLF68WA888ID%2B9V//VT169NCSJUsUFRWl5cuXW10aAABohJiD9TNqa2tVWFioJ554wq89MTFReXl5De5TU1Ojmpoa37rH45Ekeb1e0%2BtLeCbH9NcEADSs75z1Vpfwi%2BQ%2BPcrqEix14X3XMIyAH5uA9TOOHz%2Buc%2BfOKTIy0q89MjJS5eXlDe6TkZGhBQsW1GuPioq6IjUCANAQx4tWV9A4nDx5Ug6HI6DHJGBdJpvN5rduGEa9tgvmzp2rtLQ03/r58%2Bf1/fffq3379pfcBz/wer2KiopSaWmpwsPDrS4HDeAaNX5co%2BDAdbryDMPQyZMn5XK5An5sAtbP6NChg1q0aFFvtKqioqLeqNYFdrtddrvdr%2B2aa665YjU2ReHh4fzBaeS4Ro0f1yg4cJ2urECPXF3AJPefERoaqv79%2Bysnx3%2BuU05OjgYPHmxRVQAAoDFjBOsypKWlye12Ky4uTvHx8Vq5cqVKSko0Y8YMq0sDAACNUIv58%2BfPt7qIxi42Nlbt27dXenq6Fi1apNOnT%2BvNN99Unz59rC6tSWrRooWGDRumkBDyf2PFNWr8uEbBgevUdNkMKz67CAAA0IQxBwsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAfXqq68qOjparVq1Uv/%2B/bV9%2B/ZL9s3MzJTNZqu3nDlzJoAVNy/btm3ThAkT5HK5ZLPZtGnTpp/dJzc3V/3791erVq10/fXXa8WKFQGotHn7pdfpk08%2BafB36X//938DVHHzk5GRoQEDBqhNmzaKiIjQnXfeqeLi4p/db/369erZs6fsdrt69uypjRs3BqBaXAkELATMO%2B%2B8o9TUVM2bN0/79u3TrbfeqrFjx6qkpOSS%2B4SHh6usrMxvadWqVQCrbl5OnTqlPn36aNmyZZfV//Dhw/rd736nW2%2B9Vfv27dOTTz6plJQUrV8fXF%2BIG2x%2B6XW6oLi42O93qVu3bleoQuTm5mrWrFnauXOncnJydPbsWSUmJurUqVOX3Cc/P19TpkyR2%2B3Wp59%2BKrfbrcmTJ2vXrl0BrBxm4TENCJiBAweqX79%2BWr58ua%2BtR48euvPOO5WRkVGvf2ZmplJTU3XixIlAlon/z2azaePGjbrzzjsv2efxxx/X5s2bdeDAAV/bjBkz9Omnnyo/Pz8QZTZ7l3OdPvnkEw0fPlxVVVV8bZdFKisrFRERodzcXN12220N9pkyZYq8Xq8%2B%2BOADX9uYMWPUtm1bvf3224EqFSZhBAsBUVtbq8LCQiUmJvq1JyYmKi8v75L7VVdX67rrrlPnzp01fvx47du370qXil8gPz%2B/3jUdPXq0CgoKVFdXZ1FVuJS%2BffuqY8eOGjFihLZu3Wp1Oc2Kx%2BORJLVr1%2B6SfS71%2B/RTfyPReBGwEBDHjx/XuXPn6n1BdmRkZL0v0r7gxhtvVGZmpjZv3qy3335brVq10pAhQ3To0KFAlIzLUF5e3uA1PXv2rI4fP25RVbhYx44dtXLlSq1fv14bNmxQTEyMRowYoW3btlldWrNgGIbS0tI0dOhQxcbGXrLfpX6fLvU3Eo0bz%2BZHQNlsNr91wzDqtV0waNAgDRo0yLc%2BZMgQ9evXT0uXLtXLL798RevE5WvomjbUDuvExMQoJibGtx4fH6/S0lItWrTokrerYJ6HHnpIn332mXbs2PGzfX/J30g0boxgISA6dOigFi1a1PufWEVFRb3/sV3KVVddpQEDBjCC1Yg4nc4Gr2lISIjat29vUVW4HIMGDeJ3KQAefvhhbd68WVu3blXnzp1/su%2Blfp8u928kGhcCFgIiNDRU/fv3V05Ojl97Tk6OBg8efFmvYRiGioqK1LFjxytRIn6F%2BPj4etc0OztbcXFxatmypUVV4XLs27eP36UryDAMPfTQQ9qwYYM%2B/vhjRUdH/%2Bw%2Bl/p9uty/kWhcuEWIgElLS5Pb7VZcXJzi4%2BO1cuVKlZSUaMaMGZKk%2B%2B67T506dfJ9onDBggUaNGiQunXrJq/Xq5dffllFRUV65ZVXrDyNJq26ulpffvmlb/3w4cMqKipSu3bt1KVLF82dO1ffffed/vKXv0j64RODy5YtU1pampKTk5Wfn68///nPfOLpCvul12nJkiXq2rWrevXqpdraWr311ltav349j9O4gmbNmqW1a9fqvffeU5s2bXwjUw6HQ2FhYZLq/8374x//qNtuu00LFy7UHXfcoffee08fffTRZd1aRCNkAAH0yiuvGNddd50RGhpq9OvXz8jNzfVtS0hIMKZOnepbT01NNbp06WKEhoYa1157rZGYmGjk5eVZUHXzsXXrVkNSveXCdZk6daqRkJDgt88nn3xi9O3b1wgNDTW6du1qLF%2B%2BPPCFNzO/9DotXLjQuOGGG4xWrVoZbdu2NYYOHWps2bLFmuKbiYaujyTjjTfe8PW5%2BG%2BeYRjGu%2B%2B%2Ba8TExBgtW7Y0brzxRmP9%2BvWBLRym4TlYAAAAJmMOFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAm%2B3/73yHIcAUEpAAAAABJRU5ErkJggg%3D%3D\"/>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common4330533368380202852\">\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\">0.99</td>\n",
" <td class=\"number\">95</td>\n",
" <td class=\"number\">2.5%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0.9</td>\n",
" <td class=\"number\">93</td>\n",
" <td class=\"number\">2.5%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1.01</td>\n",
" <td class=\"number\">91</td>\n",
" <td class=\"number\">2.4%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1.0</td>\n",
" <td class=\"number\">90</td>\n",
" <td class=\"number\">2.4%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0.92</td>\n",
" <td class=\"number\">89</td>\n",
" <td class=\"number\">2.4%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0.97</td>\n",
" <td class=\"number\">88</td>\n",
" <td class=\"number\">2.3%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0.93</td>\n",
" <td class=\"number\">88</td>\n",
" <td class=\"number\">2.3%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1.02</td>\n",
" <td class=\"number\">87</td>\n",
" <td class=\"number\">2.3%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0.91</td>\n",
" <td class=\"number\">85</td>\n",
" <td class=\"number\">2.3%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0.95</td>\n",
" <td class=\"number\">83</td>\n",
" <td class=\"number\">2.2%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"other\">\n",
" <td class=\"fillremaining\">Other values (136)</td>\n",
" <td class=\"number\">2496</td>\n",
" <td class=\"number\">66.2%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"missing\">\n",
" <td class=\"fillremaining\">(Missing)</td>\n",
" <td class=\"number\">387</td>\n",
" <td class=\"number\">10.3%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:16%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme4330533368380202852\">\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\">0.25</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0.31</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0.36</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0.38</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0.41</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</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\">1.97</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2.01</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2.03</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2.12</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2.32</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</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_TSH\">TSH<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>288</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Unique (%)</th>\n",
" <td>7.6%</td>\n",
" </tr>\n",
" <tr class=\"alert\">\n",
" <th>Missing (%)</th>\n",
" <td>9.8%</td>\n",
" </tr>\n",
" <tr class=\"alert\">\n",
" <th>Missing (n)</th>\n",
" <td>369</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>5.0868</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>0.005</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>530</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=\"minihistogram6776691204304257060\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAAaxJREFUeJzt1zGq1FAYhuE/w22T6YfJIgS3ILgguwt2li7F3tbeXcwwC0iwsHCOhY7NhQ9G5MSB52lD8iVw3iJDa61VZ%2BfzueZ57j3LgzudTnU8HrtuPnVd%2B20cx6r69cHTNG3xCjyQZVlqnuc/56anTQIZhqGqqqZpehHI6%2BfPdz/v64e3/%2BS9%2BL/dzk1Pu%2B6L8EAEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKB4GmL0dZaVVUty/Li2o/v3%2B5%2B3qt3n%2B6%2B58v7N3ffwzZu5%2BR2bnraJJB1Xauqap7nLearqmr/cbNp/tK6rrXf77tuDm2DLK/Xa10ulxrHsYZh6D3Pg2mt1bqudTgcarfr%2B1ewSSDwKPykQyAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBD8BOOVQHEmG5VEAAAAAElFTkSuQmCC\">\n",
"\n",
"</div>\n",
"<div class=\"col-md-12 text-right\">\n",
" <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives6776691204304257060,#minihistogram6776691204304257060\"\n",
" aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"row collapse col-md-12\" id=\"descriptives6776691204304257060\">\n",
" <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
" <li role=\"presentation\" class=\"active\"><a href=\"#quantiles6776691204304257060\"\n",
" aria-controls=\"quantiles6776691204304257060\" role=\"tab\"\n",
" data-toggle=\"tab\">Statistics</a></li>\n",
" <li role=\"presentation\"><a href=\"#histogram6776691204304257060\" aria-controls=\"histogram6776691204304257060\"\n",
" role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
" <li role=\"presentation\"><a href=\"#common6776691204304257060\" aria-controls=\"common6776691204304257060\"\n",
" role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
" <li role=\"presentation\"><a href=\"#extreme6776691204304257060\" aria-controls=\"extreme6776691204304257060\"\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=\"quantiles6776691204304257060\">\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>0.005</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5-th percentile</th>\n",
" <td>0.025</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q1</th>\n",
" <td>0.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Median</th>\n",
" <td>1.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q3</th>\n",
" <td>2.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95-th percentile</th>\n",
" <td>13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>530</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Range</th>\n",
" <td>530</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Interquartile range</th>\n",
" <td>2.2</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>24.521</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Coef of variation</th>\n",
" <td>4.8206</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Kurtosis</th>\n",
" <td>238.18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>5.0868</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MAD</th>\n",
" <td>6.4918</td>\n",
" </tr>\n",
" <tr class=\"\">\n",
" <th>Skewness</th>\n",
" <td>13.883</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sum</th>\n",
" <td>17310</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Variance</th>\n",
" <td>601.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory size</th>\n",
" <td>29.5 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=\"histogram6776691204304257060\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAIABJREFUeJzt3X10VNW9//HPSMgQYzIFYjKJpBoVqRigJfFC8AFECSCBWturNpoLrTeVykMxsKyBdRWtEpYP%2BISitVqpRWPvQrx0iWniU5BFAiQQJUiRVVGCJAQ0zIRcmIS4f3/441yGgIBschh4v9Y6a2XO%2BZ5z9t6lMx/3OXPGY4wxAgAAgDVnud0AAACA0w0BCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLIjZgLViwQP3791d8fLzi4%2BOVlZWlt99%2B29k%2BbNgweTyesOWWW24JO0ZTU5Py8vLk8/nk8/mUl5en3bt3h9WsX79eQ4cOVUxMjM477zw98MADMsZ0Sh8BAEBkinK7Ad9Xr169NHfuXF188cWSpIULF%2BqnP/2p1q1bp8suu0ySlJ%2BfrwceeMDZJyYmJuwYubm52rZtm0pKSiRJv/nNb5SXl6e///3vkqRgMKgRI0bommuu0Zo1a/Tpp59qwoQJio2N1fTp0zujmwAAIAJ5zGk0HdOjRw898sgjuv322zVs2DD9%2BMc/1hNPPHHY2o0bN6pv376qrKzUoEGDJEmVlZXKysrSP//5T/Xp00cLFixQYWGhduzYIa/XK0maO3eunn76aW3btk0ej%2BeY2vXNN99o%2B/btiouLO%2BZ9AADAiTHGqLm5WSkpKTrrrE6%2BaGdOA/v37zevvfaaiY6ONhs2bDDGGDN06FCTkJBgevbsafr27WumT59ugsGgs8%2BLL75ofD5fh2P5fD7z0ksvGWOMycvLM%2BPGjQvbvnbtWiPJfPbZZ8fcvrq6OiOJhYWFhYWFxYWlrq7u%2B8SLExKxlwilb%2B%2BPysrK0r59%2B3TOOedoyZIl6tu3ryTp1ltvVVpamvx%2Bv2pra1VYWKiPPvpIZWVlkqSGhgYlJiZ2OGZiYqIaGhqcmgsuuCBse1JSkrMtLS3tsO0KhUIKhULOa/P/Jwnr6uoUHx9/Yp0GAADHJBgMKjU1VXFxcZ1%2B7ogOWH369FFNTY12796txYsXa/z48SovL1ffvn2Vn5/v1KWnp6t3797KzMzU2rVrNXDgQEk67OU6Y0zY%2BkNrDoSl77rUV1RUpPvvv7/D%2BgM35AMAgM7jxu05EfstQkmKjo7WxRdfrMzMTBUVFWnAgAF68sknD1s7cOBAde3aVZs3b5Yk%2Bf1%2B7dixo0Pdzp07nVkqv9/vzGYd0NjYKOn/ZrIOp7CwUIFAwFnq6uq%2BV/8AAEBkiuiAdShjTNiluYNt2LBBbW1tSk5OliRlZWUpEAho9erVTs2qVasUCAQ0ZMgQp2b58uVqbW11akpLS5WSktLh0uHBvF6vM1vFrBUAAGeeiP0W4cyZMzV69GilpqaqublZxcXFmjt3rkpKSnThhRdq0aJFuv7665WQkKBPPvlE06dPV0xMjNasWaMuXbpIkkaPHq3t27fr%2Beefl/TtYxrOP/985zENgUBAffr00fDhwzVz5kxt3rxZEyZM0L333ntcj2kIBoPy%2BXwKBAKELQAAOombn78Rew/Wjh07lJeXp/r6evl8PvXv318lJSUaMWKE6urq9O677%2BrJJ5/Unj17lJqaqjFjxui%2B%2B%2B5zwpUkLVq0SFOnTlV2drYkady4cZo/f76z3efzqaysTJMmTVJmZqa6d%2B%2BugoICFRQUdHp/AQBA5IjYGaxIwgwWAACdz83P39PqHiwAAIBTAQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWBaxDxrFtzJnlbjdhGNW9dAot5sAAECnYAYLAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAyyI2YC1YsED9%2B/dXfHy84uPjlZWVpbffftvZHgqFNGXKFCUkJCg2Nlbjxo3Ttm3bwo6xdetWjR07VrGxsUpISNDUqVPV2toaVlNeXq6MjAx169ZNF154oZ577rlO6R8AAIhcERuwevXqpblz56qqqkpVVVUaPny4fvrTn2rDhg2SpGnTpmnJkiUqLi7WihUrtGfPHuXk5Ki9vV2S1N7erjFjxqilpUUrVqxQcXGxFi9erOnTpzvn2LJli66//npdddVVWrdunWbOnKmpU6dq8eLFrvQZAABEBo8xxrjdCFt69OihRx55RL/4xS907rnn6pVXXtHNN98sSdq%2BfbtSU1O1bNkyjRw5Um%2B//bZycnJUV1enlJQUSVJxcbEmTJigxsZGxcfH6/e//72WLl2qjRs3OueYOHGiPvroI1VUVBxzu4LBoHw%2BnwKBgOLj4632OXNWidXjnUxVD41yuwkAgDPIyfz8PZqIncE6WHt7u4qLi9XS0qKsrCxVV1erra1N2dnZTk1KSorS09O1cuVKSVJFRYXS09OdcCVJI0eOVCgUUnV1tVNz8DEO1FRVVamtre2I7QmFQgoGg2ELAAA4c0R0wFq/fr3OOecceb1eTZw4UUuWLFHfvn3V0NCg6Ohode/ePaw%2BKSlJDQ0NkqSGhgYlJSWFbe/evbuio6O/syYpKUn79%2B/Xrl27jtiuoqIi%2BXw%2BZ0lNTbXRXQAAECEiOmD16dNHNTU1qqys1G9/%2B1uNHz9en3zyyRHrjTHyeDzO64P/PtaaA1dUD7fvAYWFhQoEAs5SV1d3zH0CAACRL8rtBpyI6OhoXXzxxZKkzMxMrVmzRk8%2B%2BaRuvvlmtba2qqmpKWwWq7GxUUOGDJEk%2Bf1%2BrVq1Kux4TU1Namtrc2at/H6/M5t18DGioqLUs2fPI7bL6/XK6/Va6SMAAIg8ET2DdShjjEKhkDIyMtS1a1eVlZU52%2Brr61VbW%2BsErKysLNXW1qq%2Bvt6pKS0tldfrVUZGhlNz8DEO1GRmZqpr166d0CMAABCJInYGa%2BbMmRo9erRSU1PV3Nys4uJiffDBByopKZHP59Ptt9%2Bu6dOnq2fPnurRo4dmzJihfv366brrrpMkZWdnq2/fvsrLy9Mjjzyir7/%2BWjNmzFB%2Bfr7zTYOJEydq/vz5KigoUH5%2BvioqKvTiiy/qtddec7PrAADgFBexAWvHjh3Ky8tTfX29fD6f%2Bvfvr5KSEo0YMUKS9PjjjysqKko33XST9u7dq2uvvVYvv/yyunTpIknq0qWL3nrrLd1555264oorFBMTo9zcXD366KPOOdLS0rRs2TLdddddeuaZZ5SSkqKnnnpKP//5z13pMwAAiAyn1XOwTlU8B%2BtbPAcLANCZeA4WAADAaYSABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGBZxAasoqIiXX755YqLi1NiYqJuuOEGbdq0Kaxm2LBh8ng8Ycstt9wSVtPU1KS8vDz5fD75fD7l5eVp9%2B7dYTXr16/X0KFDFRMTo/POO08PPPCAjDEnvY8AACAyRWzAKi8v16RJk1RZWamysjLt379f2dnZamlpCavLz89XfX29szz//PNh23Nzc1VTU6OSkhKVlJSopqZGeXl5zvZgMKgRI0YoJSVFa9as0dNPP61HH31U8%2BbN65R%2BAgCAyBPldgO%2Br5KSkrDXf/7zn5WYmKjq6mpdffXVzvqzzz5bfr//sMfYuHGjSkpKVFlZqUGDBkmSXnjhBWVlZWnTpk3q06ePFi1apH379unll1%2BW1%2BtVenq6Pv30U82bN08FBQXyeDwnr5MAACAiRewM1qECgYAkqUePHmHrFy1apISEBF122WWaMWOGmpubnW0VFRXy%2BXxOuJKkwYMHy%2BfzaeXKlU7N0KFD5fV6nZqRI0dq%2B/bt%2Bvzzz09ijwAAQKSK2BmsgxljVFBQoCuvvFLp6enO%2BltvvVVpaWny%2B/2qra1VYWGhPvroI5WVlUmSGhoalJiY2OF4iYmJamhocGouuOCCsO1JSUnOtrS0tA77h0IhhUIh53UwGDzhPgIAgMhxWgSsyZMn6%2BOPP9aKFSvC1ufn5zt/p6enq3fv3srMzNTatWs1cOBASTrsJT5jTNj6Q2sO3OB%2BpMuDRUVFuv/%2B%2B79fZwAAQMSL%2BEuEU6ZM0dKlS/X%2B%2B%2B%2BrV69e31k7cOBAde3aVZs3b5Yk%2Bf1%2B7dixo0Pdzp07nVkqv9/vzGYd0NjYKOn/ZrIOVVhYqEAg4Cx1dXXH3S8AABC5IjZgGWM0efJkvfHGG3rvvfcOe6nuUBs2bFBbW5uSk5MlSVlZWQoEAlq9erVTs2rVKgUCAQ0ZMsSpWb58uVpbW52a0tJSpaSkdLh0eIDX61V8fHzYAgAAzhwRG7AmTZqkv/71r3r11VcVFxenhoYGNTQ0aO/evZKkf/3rX3rggQdUVVWlzz//XMuWLdO///u/6yc/%2BYmuuOIKSdKll16qUaNGKT8/X5WVlaqsrFR%2Bfr5ycnLUp08fSd8%2BxsHr9WrChAmqra3VkiVLNGfOHL5BCAAAjihiA9aCBQsUCAQ0bNgwJScnO8vrr78uSYqOjta7776rkSNHqk%2BfPpo6daqys7P1zjvvqEuXLs5xFi1apH79%2Bik7O1vZ2dnq37%2B/XnnlFWe7z%2BdTWVmZtm3bpszMTN15550qKChQQUFBp/cZAABEBo/hkeQnXTAYlM/nUyAQsH65MHNWydGLThFVD41yuwkAgDPIyfz8PZqIncECAAA4VRGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWOZKwPrrX/%2Bqffv2uXFqAACAk86VgFVQUCC/36877rhDq1evdqMJAAAAJ40rAWv79u166aWXVF9fryuvvFKXXXaZHnvsMe3cudON5gAAAFjlSsCKiorSjTfeqKVLl2rr1q0aP368XnrpJfXq1Us33nij3nrrLRlj3GgaAADACXP9Jne/369rr71Ww4YNk8fjUVVVlXJzc9W7d299%2BOGHbjcPAADguLkWsHbt2qUnnnhCAwYM0BVXXKHGxka9%2Beab%2BuKLL/Tll18qJydH//Ef/%2BFW8wAAAL63KDdO%2BrOf/UzLli1TWlqa/vM//1Pjx4/Xueee62w/55xzdPfdd%2Bupp55yo3kAAAAnxJWAFR8fr3feeUdXXXXVEWuSk5O1efPmTmwVAACAHa5cIly4cOF3hitJ8ng8uuiii464vaioSJdffrni4uKUmJioG264QZs2bQqrCYVCmjJlihISEhQbG6tx48Zp27ZtYTVbt27V2LFjFRsbq4SEBE2dOlWtra1hNeXl5crIyFC3bt104YUX6rnnnjvOHgMAgDOJKwHrrrvu0vz58zusf%2BaZZzR9%2BvRjOkZ5ebkmTZqkyspKlZWVaf/%2B/crOzlZLS4tTM23aNC1ZskTFxcVasWKF9uzZo5ycHLW3t0uS2tvbNWbMGLW0tGjFihUqLi7W4sWLw9qwZcsWXX/99brqqqu0bt06zZw5U1OnTtXixYtPcBQAAMDpymNceB5Cr1699OabbyozMzNs/dq1aw87y3Qsdu7cqcTERJWXl%2Bvqq69WIBDQueeeq1deeUU333yzpG%2Bfv5Wamqply5Zp5MiRevvtt5WTk6O6ujqlpKRIkoqLizVhwgQ1NjYqPj5ev//977V06VJt3LjROdfEiRP10UcfqaKi4pjaFgwG5fP5FAgEFB8ff9x9%2By6Zs0qsHu9kqnpolNtNAACcQU7m5%2B/RuDKDtWvXLnXv3r3D%2Bvj4eO3atet7HTMQCEiSevToIUmqrq5WW1ubsrOznZqUlBSlp6dr5cqVkqSKigqlp6c74UqSRo4cqVAopOrqaqfm4GMcqKmqqlJbW9th2xIKhRQMBsMWAABw5nAlYF100UX6xz/%2B0WH9P/7xD6WlpR338YwxKigo0JVXXqn09HRJUkNDg6KjozsEuaSkJDU0NDg1SUlJYdu7d%2B%2Bu6Ojo76xJSkrS/v37jxgGi4qK5PP5nCU1NfW4%2BwQAACKXK98inDZtmqZNm6avvvpKw4cPlyS9%2B%2B67evjhh/Xoo48e9/EmT56sjz/%2BWCtWrDhqrTFGHo/HeX3w38dac%2BCq6uH2laTCwkIVFBQ4r4PBICELAIAziCsBKz8/X/v27dOcOXN03333Sfr2vqynnnpKv/71r4/rWFOmTNHSpUu1fPly9erVy1nv9/vV2tqqpqamsFmsxsZGDRkyxKlZtWpV2PGamprU1tbmzFr5/X5nNuvgY0RFRalnz56HbZPX65XX6z2ufgAAgNOHa09ynzJliurr6/Xll1/q66%2B/1tatW48rXBljNHnyZL3xxht67733OlxazMjIUNeuXVVWVuasq6%2BvV21trROwsrKyVFtbq/r6eqemtLRUXq9XGRkZTs3BxzhQk5mZqa5dux53vwEAwOnPlRmsgyUnJ3%2Bv/SZNmqRXX31V//M//6O4uDhnlsnn8ykmJkY%2Bn0%2B33367pk%2Bfrp49e6pHjx6aMWOG%2BvXrp%2Buuu06SlJ2drb59%2ByovL0%2BPPPKIvv76a82YMUP5%2BfnOtw0mTpyo%2BfPnq6CgQPn5%2BaqoqNCLL76o1157zc4AAACA044rM1g7d%2B7Ur371K/3whz9Ut27dFB0dHbYciwULFigQCGjYsGFKTk52ltdff92pefzxx3XDDTfopptu0hVXXKGzzz5bf//739WlSxdJUpcuXfTWW2%2BpW7duuuKKK3TTTTfphhtuCLsPLC0tTcuWLdMHH3ygH//4x/rDH/6gp556Sj//%2Bc/tDgoAADhtuPIcrDFjxuhf//qXJk2apOTk5A43i59u4YXnYH2L52ABADqTm8/BcuUS4fLly7V8%2BXL95Cc/ceP0AAAAJ5Urlwh79ep1xEccAAAARDpXAtbjjz%2BuwsLC7/WTOAAAAKc6Vy4R5uXlqbm5Weeff77i4%2BM7PO6gsbHRjWYBAABY4UrAmjt3rhunBQAA6BSuBKzbb7/djdMCAAB0Ctee5P75559r9uzZysvLcy4JlpaWauPGjW41CQAAwApXAtaHH36oyy67TOXl5frb3/6mPXv2SJLWrl2re%2B%2B9140mAQAAWONKwPr973%2Bv2bNn6/333w97cvvw4cNVWVnpRpMAAACscSVgffzxx/rFL37RYX1iYqJ27tzpQosAAADscSVg/eAHP3B%2BnPlgNTU1Ou%2B881xoEQAAgD2uBKxbbrlF99xzj3bu3Ok80X3VqlWaMWOGbrvtNjeaBAAAYI0rAWvOnDny%2B/1KTk7Wnj171LdvXw0ZMkSXX365/uu//suNJgEAAFjjynOwoqOj9frrr%2BvTTz/V2rVr9c0332jgwIH60Y9%2B5EZzAAAArHIlYB1wySWX6JJLLnGzCQAAANa5ErB%2B85vffOf2P/7xj53UEgAAAPtcCVj19fVhr9va2rRhwwY1Nzfr6quvdqNJAAAA1rgSsP7%2B9793WLd//3799re/1aWXXupCiwAAAOxx7bcIDxUVFaUZM2bokUcecbspAAAAJ%2BSUCViS9Nlnn6mtrc3tZgAAAJwQVy4R3n333WGvjTGqr6/X0qVLdeutt7rRJAAAAGtcCVgVFRVhr8866yyde%2B65mjt3rvLz891oEgAAgDWuBKwPP/zQjdMCAAB0ilPqHiwAAIDTgSszWJdffrnzI89Hs3r16pPcGgAAALtcCVjXXHONnn/%2BeV1yySXKysqSJFVWVmrTpk2644475PV63WgWAACAFa4ErN27d2vSpEmaM2dO2PpZs2Zpx44d%2BtOf/uRGswAAAKxw5R6sv/3tb/rVr37VYf2ECRP03//93y60CAAAwB5XApbX69XKlSs7rF%2B5ciWXBwEAQMRz5RLh1KlTNXHiRK1bt06DBw%2BW9O09WC%2B88IJmzpzpRpMAAACscSVgzZo1S2lpaXryySf10ksvSZIuvfRSvfDCC8rNzXWjSQAAANa4ErAkKTc3lzAFAABOS649aDQYDOrll1/Wvffeq6amJknSRx99pPr6ereaBAAAYIUrM1i1tbW67rrrdPbZZ6uurk4TJkxQ9%2B7d9be//U3btm3TwoUL3WgWAACAFa7MYN11113Kzc3Vv/71L3Xr1s1ZP2bMGC1fvvyYj7N8%2BXKNHTtWKSkp8ng8evPNN8O2T5gwQR6PJ2w5cFP9AaFQSFOmTFFCQoJiY2M1btw4bdu2Laxm69atGjt2rGJjY5WQkKCpU6eqtbX1e/QcAACcCVwJWGvWrNGdd97Z4edyzjvvvOO6RNjS0qIBAwZo/vz5R6wZNWqU6uvrnWXZsmVh26dNm6YlS5aouLhYK1as0J49e5STk6P29nZJUnt7u8aMGaOWlhatWLFCxcXFWrx4saZPn34cPQYAAGcSVy4RRkdHa8%2BePR3Wb968WQkJCcd8nNGjR2v06NHfWeP1euX3%2Bw%2B7LRAI6MUXX9Qrr7yi6667TpL017/%2BVampqXrnnXc0cuRIlZaW6pNPPlFdXZ1SUlIkSY899pgmTJighx56SPHx8cfcXgAAcGZwZQZr3Lhx%2BsMf/qD9%2B/dLkjwej7788kvdc889uvHGG62e64MPPlBiYqIuueQS5efnq7Gx0dlWXV2ttrY2ZWdnO%2BtSUlKUnp7uPAi1oqJC6enpTriSpJEjRyoUCqm6utpqWwEAwOnBlYD12GOPafv27fL7/dq7d6%2BGDx%2BuCy%2B8UN26devw%2B4QnYvTo0Vq0aJHee%2B89PfbYY1qzZo2GDx%2BuUCgkSWpoaFB0dLS6d%2B8etl9SUpIaGhqcmqSkpLDt3bt3V3R0tFNzqFAopGAwGLYAAIAzhyuXCH0%2Bn1auXKmysjKtXbtW33zzjQYOHKiRI0d2uC/rRNx8883O3%2Bnp6crMzNT555%2Bvt9566ztnyowxYe04XJsOrTlYUVGR7r///hNoOQAAiGSdHrDa2tp0/fXX69lnn1V2dnbY5bmTLTk5Weeff742b94sSfL7/WptbVVTU1PYLFZjY6OGDBni1KxatSrsOE1NTWpra%2Bsws3VAYWGhCgoKnNfBYFCpqam2uwMAAE5RnX6JsGvXrlq3bp3Vmapj9dVXX6murk7JycmSpIyMDHXt2lVlZWVOTX19vWpra52AlZWVpdra2rBvN5aWlsrr9SojI%2BOw5/F6vYqPjw9bAADAmcOVe7Buu%2B02/fnPfz7h4%2BzZs0c1NTWqqamRJG3ZskU1NTXaunWr9uzZoxkzZqiiokKff/65PvjgA40dO1YJCQn62c9%2BJunbS5W33367pk%2BfrnfffVfr1q3Tbbfdpn79%2BjnfKszOzlbfvn2Vl5endevW6d1339WMGTOUn59PcAIAAIfl2m8Rzp8/X%2B%2B8844yMzMVGxsbtu3hhx8%2BpmNUVVXpmmuucV4fuCw3fvx4LViwQOvXr9df/vIX7d69W8nJybrmmmv0%2BuuvKy4uztnn8ccfV1RUlG666Sbt3btX1157rV5%2B%2BWV16dJFktSlSxe99dZbuvPOO3XFFVcoJiZGubm5evTRR090CAAAwGnKY4wxnX3Sq6666ojbPB7PcT3NPRIEg0H5fD4FAgHrs16Zs0qsHu9kqnpolNtNAACcQU7m5%2B/RdOoM1meffaa0tDR9%2BOGHnXlaAACATtWp92D17t1bO3fudF7ffPPN2rFjR2c2AQAA4KTr1IB16NXIZcuWqaWlpTObAAAAcNK58i1CAACA01mnBiyPx9Ph%2BVduPA8LAADgZOrUm9yNMZowYYK8Xq8kad%2B%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%2Bad9P4BAIDIFOV2A07E6NGjNXr06MNuM8boiSee0KxZs3TjjTdKkhYuXKikpCQo4R2VAAARkElEQVS9%2BuqruuOOO7Rx40aVlJSosrJSgwYNkiS98MILysrK0qZNm9SnTx8tWrRI%2B/bt08svvyyv16v09HR9%2BumnmjdvngoKCuTxeDqtvwAAIDJE9AzWd9myZYsaGhqUnZ3trPN6vRo6dKhWrlwpSaqoqJDP53PClSQNHjxYPp8vrGbo0KHyer1OzciRI7V9%2B3Z9/vnnhz13KBRSMBgMWwAAwJnjtA1YDQ0NkqSkpKSw9UlJSc62hoYGJSYmdtg3MTExrOZwxzj4HIcqKipy7uny%2BXxKTU09sc4AAICIctoGrAMOvYRnjAlbd7hLfEerOXCD%2B5EuDxYWFioQCDhLXV3d924/AACIPBF9D9Z38fv9kr6dZUpOTnbWNzY2OjNQfr9fO3bs6LDvzp07w2oOnalqbGyU1HF27ACv1xt2SREAAJxZTtsZrLS0NPn9fpWVlTnrWltbVV5eriFDhkiSsrKyFAgEtHr1aqdm1apVCgQCYTXLly9Xa2urU1NaWqqUlBRdcMEFndMZAAAQUSI6YO3Zs0c1NTWqqamR9O2N7TU1Ndq6das8Ho%2BmTZumOXPmaMmSJaqtrdWECRN09tlnKzc3V5J06aWXatSoUcrPz1dlZaUqKyuVn5%2BvnJwc9enTR9K3j3Hwer2aMGGCamtrtWTJEs2ZM4dvEAIAgCOK6EuEVVVVuuaaa5zXBQUFkqTx48fr5Zdf1t133629e/fqzjvvVFNTkwYNGqTS0lLFxcU5%2ByxatEhTp051vm04bty4sOdq%2BXw%2BlZWVadKkScrMzFT37t1VUFDgnAsAAOBQHsMjyU%2B6YDAon8%2BnQCCg%2BPh4q8fOnFVi9XgnU9VDo9xuAgDgDHIyP3%2BPJqIvEQIAAJyKCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlp3WAWv27NnyeDxhi9/vd7YbYzR79mylpKQoJiZGw4YN04YNG8KO0dTUpLy8PPl8Pvl8PuXl5Wn37t2d3RUAABBBTuuAJUmXXXaZ6uvrnWX9%2BvXOtocffljz5s3T/PnztWbNGvn9fo0YMULNzc1OTW5urmpqalRSUqKSkhLV1NQoLy/Pja4AAIAIEeV2A062qKiosFmrA4wxeuKJJzRr1izdeOONkqSFCxcqKSlJr776qu644w5t3LhRJSUlqqys1KBBgyRJL7zwgrKysrRp0yb16dOnU/sCAAAiw2k/g7V582alpKQoLS1Nt9xyiz777DNJ0pYtW9TQ0KDs7Gyn1uv1aujQoVq5cqUkqaKiQj6fzwlXkjR48GD5fD6nBgAA4FCn9QzWoEGD9Je//EWXXHKJduzYoQcffFBDhgzRhg0b1NDQIElKSkoK2ycpKUlffPGFJKmhoUGJiYkdjpuYmOjsfzihUEihUMh5HQwGbXQHAABEiNM6YI0ePdr5u1%2B/fsrKytJFF12khQsXavDgwZIkj8cTto8xJmzdodsPV3OooqIi3X///SfafAAAEKFO%2B0uEB4uNjVW/fv20efNm576sQ2eiGhsbnVktv9%2BvHTt2dDjOzp07O8x8HaywsFCBQMBZ6urqLPYCAACc6s6ogBUKhbRx40YlJycrLS1Nfr9fZWVlzvbW1laVl5dryJAhkqSsrCwFAgGtXr3aqVm1apUCgYBTczher1fx8fFhCwAAOHOc1pcIZ8yYobFjx%2BqHP/yhGhsb9eCDDyoYDGr8%2BPHyeDyaNm2a5syZo969e6t3796aM2eOzj77bOXm5kqSLr30Uo0aNUr5%2Bfl6/vnnJUm/%2Bc1vlJOTwzcIAQDAEZ3WAWvbtm365S9/qV27duncc8/V4MGDVVlZqfPPP1%2BSdPfdd2vv3r2688471dTUpEGDBqm0tFRxcXHOMRYtWqSpU6c63zYcN26c5s%2Bf70p/AABAZPAYY4zbjTjdBYNB%2BXw%2BBQIB65cLM2eVWD3eyVT10Ci3mwAAOIOczM/fozmj7sECAADoDAQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsI7Rs88%2Bq7S0NHXr1k0ZGRn68MMP3W4SAAA4RRGwjsHrr7%2BuadOmadasWVq3bp2uuuoqjR49Wlu3bnW7aQAA4BTkMcYYtxtxqhs0aJAGDhyoBQsWOOsuvfRS3XDDDSoqKjrq/sFgUD6fT4FAQPHx8VbbljmrxOrx8H%2BqHhrldhMAACfgZH7%2BHk1Up54tArW2tqq6ulr33HNP2Prs7GytXLnysPuEQiGFQiHndSAQkPTt/9C2tYdarB8T3/rJjMVuN%2BG0VX7vCLebAOAMcOBz1425JALWUezatUvt7e1KSkoKW5%2BUlKSGhobD7lNUVKT777%2B/w/rU1NST0kYg0vgec7sFAM4kzc3N8vl8nXpOAtYx8ng8Ya%2BNMR3WHVBYWKiCggLn9TfffKOvv/5aPXv2POI%2B30cwGFRqaqrq6uo6ferzdMI42sE42sNY2sE42hHJ42iMUXNzs1JSUjr93ASso0hISFCXLl06zFY1NjZ2mNU6wOv1yuv1hq37wQ9%2BcNLaGB8fH3H/6E9FjKMdjKM9jKUdjKMdkTqOnT1zdQDfIjyK6OhoZWRkqKysLGx9WVmZhgwZ4lKrAADAqYwZrGNQUFCgvLw8ZWZmKisrS3/84x%2B1detWTZw40e2mAQCAU1CX2bNnz3a7Eae69PR09ezZU3PmzNGjjz6qvXv36pVXXtGAAQPcbpq6dOmiYcOGKSqKrHwiGEc7GEd7GEs7GEc7GMfjx3OwAAAALOMeLAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwIpQzz77rNLS0tStWzdlZGToww8/dLtJp5zly5dr7NixSklJkcfj0Ztvvhm23Rij2bNnKyUlRTExMRo2bJg2bNgQVtPU1KS8vDz5fD75fD7l5eVp9%2B7dndkNVxUVFenyyy9XXFycEhMTdcMNN2jTpk1hNaFQSFOmTFFCQoJiY2M1btw4bdu2Laxm69atGjt2rGJjY5WQkKCpU6eqtbW1M7viugULFqh///7OwxqzsrL09ttvO9sZx%2B%2BnqKhIHo9H06ZNc9Yxlkc3e/ZseTyesMXv9zvbeX88cQSsCPT6669r2rRpmjVrltatW6errrpKo0eP1tatW91u2imlpaVFAwYM0Pz58w%2B7/eGHH9a8efM0f/58rVmzRn6/XyNGjFBzc7NTk5ubq5qaGpWUlKikpEQ1NTXKy8vrrC64rry8XJMmTVJlZaXKysq0f/9%2BZWdnq6Xl/35kfNq0aVqyZImKi4u1YsUK7dmzRzk5OWpvb5cktbe3a8yYMWppadGKFStUXFysxYsXa/r06W51yxW9evXS3LlzVVVVpaqqKg0fPlw//elPnQ8txvH4rVmzRn/84x/Vv3//sPWM5bG57LLLVF9f7yzr1693tvH%2BaIFBxPm3f/s3M3HixLB1P/rRj8w999zjUotOfZLMkiVLnNfffPON8fv9Zu7cuc66ffv2GZ/PZ5577jljjDGffPKJkWQqKyudmoqKCiPJ/POf/%2By8xp9CGhsbjSRTXl5ujDFm9%2B7dpmvXrqa4uNip%2BfLLL81ZZ51lSkpKjDHGLFu2zJx11lnmyy%2B/dGpee%2B014/V6TSAQ6NwOnGK6d%2B9u/vSnPzGO30Nzc7Pp3bu3KSsrM0OHDjW/%2B93vjDH8mzxW9913nxkwYMBht/H%2BaAczWBGmtbVV1dXVys7ODlufnZ2tlStXutSqyLNlyxY1NDSEjaPX69XQoUOdcayoqJDP59OgQYOcmsGDB8vn852xYx0IBCRJPXr0kCRVV1erra0tbBxTUlKUnp4eNo7p6elhP7Y6cuRIhUIhVVdXd2LrTx3t7e0qLi5WS0uLsrKyGMfvYdKkSRozZoyuu%2B66sPWM5bHbvHmzUlJSlJaWpltuuUWfffaZJN4fbeGRrBFm165dam9v7/BD00lJSR1%2BkBpHdmCsDjeOX3zxhVOTmJjYYd/ExMQzcqyNMSooKNCVV16p9PR0Sd%2BOUXR0tLp37x5We/C/x4aGhg7j3L17d0VHR59x47h%2B/XplZWVp3759Ouecc7RkyRL17dtXNTU1jONxKC4uVnV1taqqqjps49/ksRk0aJD%2B8pe/6JJLLtGOHTv04IMPasiQIdqwYQPvj5YQsCKUx%2BMJe22M6bAOR3e0cTzcmJ6pYz158mR9/PHHWrFixVFrGcfD69Onj2pqarR7924tXrxY48ePV3l5%2BRHrGceO6urq9Lvf/U6lpaXq1q3bMe/HWIYbPXq083e/fv2UlZWliy66SAsXLtTgwYMl8f54orhEGGESEhLUpUuXDv%2BF0NjY2OG/NnBkB74t813j6Pf7tWPHjg777ty584wb6ylTpmjp0qV6//331atXL2e93%2B9Xa2urmpqawuoPHcdDx7mpqUltbW1n3DhGR0fr4osvVmZmpoqKijRgwAA9%2BeSTjONxqK6uVmNjozIyMhQVFaWoqCiVl5frqaeeUlRUlJKSkhjL7yE2Nlb9%2BvXT5s2beX%2B0hIAVYaKjo5WRkaGysrKw9WVlZRoyZIhLrYo8aWlp8vv9YePY2tqq8vJyZxyzsrIUCAS0evVqp2bVqlUKBAJnzFgbYzR58mS98cYbeu%2B995SWlha2PSMjQ127dg0bx/r6etXW1oaNY21trerr652a0tJSeb1eZWRkdE5HTlHGGIVCIcbxOFx77bVav369ampqnCUzM1O33nqr8zdjefxCoZA2btyo5ORk3h9tcePOepyY4uJi07VrV/Piiy%2BaTz75xEybNs3Exsaazz//3O2mnVKam5vNunXrzLp164wkM2/ePLNu3TrzxRdfGGOMmTt3rvH5fOaNN94w69evN7/85S9NcnKyCQaDzjFGjRpl%2BvfvbyoqKkxFRYXp16%2BfycnJcatLne63v/2t8fl85oMPPjD19fXO8r//%2B79OzcSJE02vXr3MO%2B%2B8Y9auXWuGDx9uBgwYYPbv32%2BMMWb//v0mPT3dXHvttWbt2rXmnXfeMb169TKTJ092q1uuKCwsNMuXLzdbtmwxH3/8sZk5c6Y566yzTGlpqTGGcTwRB3%2BL0BjG8lhMnz7dfPDBB%2Bazzz4zlZWVJicnx8TFxTmfI7w/njgCVoR65plnzPnnn2%2Bio6PNwIEDna/N4/%2B8//77RlKHZfz48caYb7%2BKfN999xm/32%2B8Xq%2B5%2Buqrzfr168OO8dVXX5lbb73VxMXFmbi4OHPrrbeapqYmF3rjjsONnyTz5z//2anZu3evmTx5sunRo4eJiYkxOTk5ZuvWrWHH%2BeKLL8yYMWNMTEyM6dGjh5k8ebLZt29fJ/fGXb/%2B9a%2Bd/8%2Bee%2B655tprr3XClTGM44k4NGAxlkd38803m%2BTkZNO1a1eTkpJibrzxRrNhwwZnO%2B%2BPJ85jjDHuzJ0BAACcnrgHCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZf8PMrNM5hAvOR4AAAAASUVORK5CYII%3D\"/>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common6776691204304257060\">\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\">0.2</td>\n",
" <td class=\"number\">116</td>\n",
" <td class=\"number\">3.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1.3</td>\n",
" <td class=\"number\">105</td>\n",
" <td class=\"number\">2.8%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1.1</td>\n",
" <td class=\"number\">97</td>\n",
" <td class=\"number\">2.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1.4</td>\n",
" <td class=\"number\">91</td>\n",
" <td class=\"number\">2.4%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1.5</td>\n",
" <td class=\"number\">80</td>\n",
" <td class=\"number\">2.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1.2</td>\n",
" <td class=\"number\">79</td>\n",
" <td class=\"number\">2.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1.9</td>\n",
" <td class=\"number\">79</td>\n",
" <td class=\"number\">2.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1.6</td>\n",
" <td class=\"number\">78</td>\n",
" <td class=\"number\">2.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">1.7</td>\n",
" <td class=\"number\">73</td>\n",
" <td class=\"number\">1.9%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2.3</td>\n",
" <td class=\"number\">70</td>\n",
" <td class=\"number\">1.9%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"other\">\n",
" <td class=\"fillremaining\">Other values (277)</td>\n",
" <td class=\"number\">2535</td>\n",
" <td class=\"number\">67.2%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"missing\">\n",
" <td class=\"fillremaining\">(Missing)</td>\n",
" <td class=\"number\">369</td>\n",
" <td class=\"number\">9.8%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:15%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme6776691204304257060\">\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\">0.005</td>\n",
" <td class=\"number\">52</td>\n",
" <td class=\"number\">1.4%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:94%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0.01</td>\n",
" <td class=\"number\">24</td>\n",
" <td class=\"number\">0.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:44%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0.015</td>\n",
" <td class=\"number\">26</td>\n",
" <td class=\"number\">0.7%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:47%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0.02</td>\n",
" <td class=\"number\">55</td>\n",
" <td class=\"number\">1.5%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">0.025</td>\n",
" <td class=\"number\">17</td>\n",
" <td class=\"number\">0.5%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:31%\">&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\">440.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">468.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">472.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">478.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">530.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</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_TT4\">TT4<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>242</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Unique (%)</th>\n",
" <td>6.4%</td>\n",
" </tr>\n",
" <tr class=\"alert\">\n",
" <th>Missing (%)</th>\n",
" <td>6.1%</td>\n",
" </tr>\n",
" <tr class=\"alert\">\n",
" <th>Missing (n)</th>\n",
" <td>231</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>108.32</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>430</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-3056207947965481943\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAAdJJREFUeJzt3TGqE1EYhuF/LrYz6UNmEYJbEFyQ3QU7S5dib2vvLhKygAwWFmYsNDbCx83FnMlcnqcN4T%2BB8zJwmJl08zzP1djhcKhxHFuPZeX2%2B33tdrumM181nfZH3/dV9fsHD8OwxBJYkdPpVOM4/t03LS0SSNd1VVU1DMNigbx5/HL1d759fHeDlfBUl33T0kPzibAiAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFgkVeP/m/PeY0oPIUrCAQCgUAgEAgEAoFA8CJOsVq59rTMH%2B6snysIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBwK0mN/ScB7ncnnJf7i4QTwdyTxYJZJ7nqqo6nU7/fPbzx/fWy7krr99/vvo7Xz%2B8vcFK7sdln1z2TUuLBDJNU1VVjeO4xPgXZ/Np6RW0MU1TbTabpjO7eYEsz%2BdzHY/H6vu%2Buq5rPZ6Vmee5pmmq7XZbDw9tz5UWCQTWwjEvBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAsEv3ktJR26NIQsAAAAASUVORK5CYII%3D\">\n",
"\n",
"</div>\n",
"<div class=\"col-md-12 text-right\">\n",
" <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-3056207947965481943,#minihistogram-3056207947965481943\"\n",
" aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"row collapse col-md-12\" id=\"descriptives-3056207947965481943\">\n",
" <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
" <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-3056207947965481943\"\n",
" aria-controls=\"quantiles-3056207947965481943\" role=\"tab\"\n",
" data-toggle=\"tab\">Statistics</a></li>\n",
" <li role=\"presentation\"><a href=\"#histogram-3056207947965481943\" aria-controls=\"histogram-3056207947965481943\"\n",
" role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
" <li role=\"presentation\"><a href=\"#common-3056207947965481943\" aria-controls=\"common-3056207947965481943\"\n",
" role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
" <li role=\"presentation\"><a href=\"#extreme-3056207947965481943\" aria-controls=\"extreme-3056207947965481943\"\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-3056207947965481943\">\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>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5-th percentile</th>\n",
" <td>63</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q1</th>\n",
" <td>88</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Median</th>\n",
" <td>103</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q3</th>\n",
" <td>124</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95-th percentile</th>\n",
" <td>170</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>430</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Range</th>\n",
" <td>428</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Interquartile range</th>\n",
" <td>36</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>35.604</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Coef of variation</th>\n",
" <td>0.3287</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Kurtosis</th>\n",
" <td>6.6184</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>108.32</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MAD</th>\n",
" <td>25.537</td>\n",
" </tr>\n",
" <tr class=\"\">\n",
" <th>Skewness</th>\n",
" <td>1.2677</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sum</th>\n",
" <td>383560</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Variance</th>\n",
" <td>1267.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory size</th>\n",
" <td>29.5 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-3056207947965481943\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAIABJREFUeJzt3X9UVWXe///XSeWIJicQ4UCSMd3mVKiT2Cg2k1ITSP64G2umwgiqoRx/peiY5JpGu1Oafk1TVndZaVOW1l2ZMxUDVoO5xF8oJeo4ViRYIFp4jjp6QLy%2Bf/R1fzpBaeOG7cHnY629Fvva19nnfXEt49W199nHZYwxAgAAgG3OcLoAAACA9oaABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYLOOThfwnyooKNDrr7%2Buf/7znwoPD9eQIUP0xz/%2BUX369LH6BAIBTZ8%2BXS%2B//LIOHTqkK664Qk888YR69uxp9amqqtKECRP03nvvKTw8XJmZmXrwwQcVFhZm9SkpKVFeXp62bNmi%2BPh4zZgxQ%2BPGjTvhWo8ePaovvvhC3bp1k8vlsucXAAAAvpcxRvv371d8fLzOOKON15RMiEpPTzcLFy40FRUVpry83IwYMcKcc8455sCBA1afcePGmbPPPtsUFxebjRs3mtTUVNO/f39z5MgRY4wxR44cMUlJSSY1NdVs3LjRFBcXm/j4eDNx4kTrHJ9%2B%2Bqnp0qWLueOOO8zWrVvNggULTKdOncz//d//nXCt1dXVRhIbGxsbGxubA1t1dbV9AeQEuYwxRu3Anj17FBMTo5KSEl122WXy%2BXzq0aOHXnjhBV133XWSpC%2B%2B%2BEIJCQl6%2B%2B23lZ6ernfeeUcjR45UdXW14uPjJUlLlixRTk6O6urqFBERoTvvvFPLly/Xtm3brPcaN26cPvzwQ5WWlp5QbT6fT2eddZaqq6sVERFh/%2BABAEAzfr9fCQkJ2rdvnzweT5u%2Bd8heIvw2n88nSYqKipIklZWVqbGxUWlpaVaf%2BPh4JSUlafXq1UpPT1dpaamSkpKscCVJ6enpCgQCKisrU2pqqkpLS4POcazPs88%2Bq8bGRnXq1Om4tR27LBgREUHAAgCgjTlxe067CFjGGOXl5elnP/uZkpKSJEm1tbUKCwtTZGRkUN/Y2FjV1tZafWJjY4OOR0ZGKiws7Hv7xMbG6siRI9q7d6/i4uKa1RMIBBQIBKx9v99/8oMEAAAho118inDixIn66KOP9PLLLx%2B3rzEmKMm2lGqP1%2BfYVdXvSsQFBQXyeDzWlpCQcELjAAAA7UPIB6xJkyZp%2BfLlev/994M%2BHej1etXQ0KD6%2Bvqg/nV1ddaKlNfrtVaqjqmvr1djY%2BP39qmrq1PHjh3VvXv3FmvKz8%2BXz%2Bezturq6pMeJwAACB0hG7CMMZo4caJef/11vffee0pMTAw6npycrE6dOqm4uNhqq6mpUUVFhYYMGSJJSklJUUVFhWpqaqw%2BRUVFcrvdSk5Otvp88xzH%2BgwcOPA7779yu93W/VbcdwUAwOknZD9FOH78eL300kt68803g5595fF4FB4eLkn67W9/q7/97W9atGiRoqKiNH36dH355ZcqKytThw4d1NTUpJ/85CeKjY3VAw88oK%2B%2B%2Bko5OTm6%2Buqr9dhjj0mSKisrlZSUpNtvv125ubkqLS3VuHHj9PLLL%2Buaa645oVr9fr88Ho98Ph9hCwCANuLk39%2BQDVjfdf/TwoULlZOTI0k6fPiwfve73%2Bmll14KetDoN%2B%2BJqqqq0vjx45s9aNTtdlt9SkpKNHXqVOtBo3feeecPetAoAQsAgLZHwGrnCFgAALQ9J//%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%2BsnP/mJ5s6dG3T5r7S0VElJSVa4kqT09HQFAgGVlZW1%2BF6BQEB%2Bvz9oAwAAp4%2BQXsH6IZ5//nl169ZNY8aMCWq/4447NGDAAEVGRmrdunXKz89XZWWlnnnmGUlSbW2tYmNjg14TGRmpsLAw1dbWtvheBQUFmjNnTusMBAAAnPJOm4D13HPPaezYsercuXNQ%2B9SpU62f%2B/Xrp8jISF177bXWqpb09c3y32aMabFdkvLz85WXl2ft%2B/1%2BJSQk2DEMAAAQAk6LgPXBBx9o%2B/btWrp06XH7Dh48WJL08ccfq3v37vJ6vVq7dm1Qn/r6ejU2NjZb2TrG7XbL7XaffOEAACAknRb3YD377LNKTk5W//79j9t306ZNkqS4uDhJUkpKiioqKoI%2BkVhUVCS3263k5OTWKRgAAIS0kF7BOnDggD7%2B%2BGNrv7KyUuXl5YqKitI555wj6evLc6%2B%2B%2BqoeeuihZq8vLS3VmjVrlJqaKo/Ho/Xr12vq1KkaPXq09fq0tDRdeOGFysrK0gMPPKCvvvpK06dPV25uLp8gBAAALQrpgLVhwwalpqZa%2B8fue8rOztaiRYskSUuWLJExRjfccEOz17vdbi1dulRz5sxRIBBQr169lJubqxkzZlh9OnTooLfeekvjx4/XpZdeqvDwcGVmZurBBx9s3cEBAICQ5TLGGKeLaO/8fr88Ho98Ph%2BrXiFk4KxCp0v4QTbMHe50CQBwSnHy7%2B9pcQ8WAABAWyJgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM1COmCtXLlSo0aNUnx8vFwul5YtWxZ0PCcnRy6XK2gbPHhwUJ9AIKBJkyYpOjpaXbt21ejRo7Vr166gPlVVVRo1apS6du2q6OhoTZ48WQ0NDa0%2BPgAAEJpCOmAdPHhQ/fv31/z587%2Bzz/Dhw1VTU2Ntb7/9dtDxKVOm6I033tCSJUu0atUqHThwQCNHjlRTU5MkqampSSNGjNDBgwe1atUqLVmyRK%2B99pqmTZvWqmMDAAChq6PTBZyMjIwMZWRkfG8ft9str9fb4jGfz6dnn31WL7zwgn7xi19Ikl588UUlJCRoxYoVSk9PV1FRkbZu3arq6mrFx8dLkh566CHl5ORo7ty5ioiIsHdQAAAg5IX0CtaJ%2BMc//qGYmBidf/75ys3NVV1dnXWsrKxMjY2NSktLs9ri4%2BOVlJSk1atXS5JKS0uVlJRkhStJSk9PVyAQUFlZWdsNBAAAhIyQXsE6noyMDP3qV79Sr169VFlZqd///ve6/PLLVVZWJrfbrdraWoWFhSkyMjLodbGxsaqtrZUk1dbWKjY2Nuh4ZGSkwsLCrD7fFggEFAgErH2/32/zyAAAwKmsXQes6667zvo5KSlJAwcOVK9evfTWW29pzJgx3/k6Y4xcLpe1/82fv6vPNxUUFGjOnDknUTkAAAhl7f4S4TfFxcWpV69e2rFjhyTJ6/WqoaFB9fX1Qf3q6uqsVSuv19tspaq%2Bvl6NjY3NVraOyc/Pl8/ns7bq6upWGA0AADhVnVYB68svv1R1dbXi4uIkScnJyerUqZOKi4utPjU1NaqoqNCQIUMkSSkpKaqoqFBNTY3Vp6ioSG63W8nJyS2%2Bj9vtVkRERNAGAABOHyF9ifDAgQP6%2BOOPrf3KykqVl5crKipKUVFRmj17tq655hrFxcXps88%2B01133aXo6Gj98pe/lCR5PB7deuutmjZtmrp3766oqChNnz5dffv2tT5VmJaWpgsvvFBZWVl64IEH9NVXX2n69OnKzc0lOAEAgBaFdMDasGGDUlNTrf28vDxJUnZ2tp588klt3rxZf/nLX7Rv3z7FxcUpNTVVS5cuVbdu3azX/OlPf1LHjh3161//WocOHdIVV1yhRYsWqUOHDpKkDh066K233tL48eN16aWXKjw8XJmZmXrwwQfbdrAAACBkuIwxxuki2ju/3y%2BPxyOfz8eqVwgZOKvQ6RJ%2BkA1zhztdAgCcUpz8%2B3ta3YMFAADQFghYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM1COmCtXLlSo0aNUnx8vFwul5YtW2Yda2xs1J133qm%2Bffuqa9euio%2BP10033aQvvvgi6BznnnuuXC5X0DZz5sygPlVVVRo1apS6du2q6OhoTZ48WQ0NDW0yRgAAEHo6Ol3AyTh48KD69%2B%2Bvm2%2B%2BWddcc03QsX//%2B9/auHGjfv/736t///6qr6/XlClTNHr0aG3YsCGo7z333KPc3Fxr/8wzz7R%2Bbmpq0ogRI9SjRw%2BtWrVKX375pbKzs2WM0WOPPda6AwQAACEppANWRkaGMjIyWjzm8XhUXFwc1PbYY4/ppz/9qaqqqnTOOedY7d26dZPX623xPEVFRdq6dauqq6sVHx8vSXrooYeUk5OjuXPnKiIiwqbRAACA9iKkLxH%2BUD6fTy6XS2eddVZQ%2Bx//%2BEd1795dP/nJTzR37tygy3%2BlpaVKSkqywpUkpaenKxAIqKysrMX3CQQC8vv9QRsAADh9hPQK1g9x%2BPBhzZw5U5mZmUGrTnfccYcGDBigyMhIrVu3Tvn5%2BaqsrNQzzzwjSaqtrVVsbGzQuSIjIxUWFqba2toW36ugoEBz5sxpvcEAAIBT2mkRsBobG3X99dfr6NGjeuKJJ4KOTZ061fq5X79%2BioyM1LXXXmutakmSy%2BVqdk5jTIvtkpSfn6%2B8vDxr3%2B/3KyEhwY6hAACAENDuA1ZjY6N%2B/etfq7KyUu%2B9995x75kaPHiwJOnjjz9W9%2B7d5fV6tXbt2qA%2B9fX1amxsbLaydYzb7Zbb7bZnAAAAIOS063uwjoWrHTt2aMWKFdaK1PfZtGmTJCkuLk6SlJKSooqKCtXU1Fh9ioqK5Ha7lZyc3DqFAwCAkObICtaLL76oa6%2B9Vp07dz6p8xw4cEAff/yxtV9ZWany8nJFRUUpPj5e1157rTZu3Ki//e1vampqsu6ZioqKUlhYmEpLS7VmzRqlpqbK4/Fo/fr1mjp1qkaPHm19yjAtLU0XXnihsrKy9MADD%2Birr77S9OnTlZubyycIAQBAi1zGGNPWbxoTE6OGhgZdd911uvXWW/XTn/70PzrPP/7xD6WmpjZrz87O1uzZs5WYmNji695//30NGzZMGzdu1Pjx4/XPf/5TgUBAvXr10vXXX68ZM2aoS5cuVv%2BqqiqNHz9e7733nsLDw5WZmakHH3zwhC8D%2Bv1%2BeTwe%2BXw%2BQlkIGTir0OkSfpANc4c7XQIAnFKc/PvrSMA6cuSIli9frkWLFqmwsFC9e/fWLbfcoptuukk9evRo63JaHQErNBGwACC0Ofn315F7sDp27KgxY8Zo%2BfLlqqqqUnZ2tp577jn17NlTY8aM0VtvvSUHch8AAIAtHL/J3ev16oorrtCwYcPkcrm0YcMGZWZmqnfv3vrggw%2BcLg8AAOAHcyxg7d27V4888oj69%2B%2BvSy%2B9VHV1dVq2bJl27typzz//XCNHjtRNN93kVHkAAAD/MUc%2BRfjLX/5Sb7/9thITE/Wb3/xG2dnZQfdenXnmmZoxY4YeffRRJ8oDAAA4KY4ErIiICK1YsUI///nPv7NPXFycduzY0YZVAQAA2MORgPX8888ft4/L5dJ5553XBtUAAADYy5F7sKZOnar58%2Bc3a3/88cc1bdo0ByoCAACwjyMB69VXX7W%2B8%2B%2BbUlJStHTpUgcqAgAAsI8jAWvv3r2KjIxs1h4REaG9e/c6UBEAAIB9HAlY5513nv7%2B9783a//73//%2BnV9vAwAAECocucl9ypQpmjJlir788ktdfvnlkqR3331X999/vx588EEnSgIAALCNIwErNzdXhw8f1rx58/SHP/xBktSzZ089%2BuijuuWWW5woCQAAwDaOBCxJmjRpkiZNmqSamhqFh4frrLPOcqoUAAAAWzkWsI6Ji4tzugQAAABbOXKT%2B549e3TzzTfrnHPOUefOnRUWFha0AQAAhDJHVrBycnL0ySef6He/%2B53i4uLkcrmcKAMAAKBVOBKwVq5cqZUrV%2Briiy924u0BAABalSOXCHv27MmqFQAAaLccCVh/%2BtOflJ%2Bfr127djnx9gAAAK3KkUuEWVlZ2r9/v3r16qWIiAh16tQp6HhdXZ0TZQEAANjCkYB13333OfG2AAAAbcKRgHXrrbc68bYAAABtwpF7sCTps88%2B0%2BzZs5WVlWVdEiwqKtK2bducKgkAAMAWjgSsDz74QBdddJFKSkr0yiuv6MCBA5KkjRs36u6773aiJAAAANs4ErDuvPNOzZ49W%2B%2B//37Qk9svv/xyrVmzxomSAAAAbONIwProo4907bXXNmuPiYnRnj17HKgIAADAPo4ErLPOOku1tbXN2svLy3X22Wc7UBEAAIB9HAlY119/vWbOnKk9e/ZYT3Rfu3atpk%2BfrhtvvNGJkgAAAGzjSMCaN2%2BevF6v4uLidODAAV144YUaMmSILrnkEv3%2B978/4fOsXLlSo0aNUnx8vFwul5YtWxZ03Bij2bNnKz4%2BXuHh4Ro2bJi2bNkS1Ke%2Bvl5ZWVnyeDzyeDzKysrSvn37gvps3rxZQ4cOVXh4uM4%2B%2B2zdc889Msb8578AAADQrjnyHKywsDAtXbpU//rXv7Rx40YdPXpUAwYM0I9//OMfdJ6DBw%2Bqf//%2Buvnmm3XNNdc0O37//ffr4Ycf1qJFi3T%2B%2Befr3nvv1ZVXXqnt27erW7dukqTMzEzt2rVLhYWFkqTbbrtNWVlZ%2Butf/ypJ8vv9uvLKK5Wamqr169frX//6l3JyctS1a1dNmzbtJH8TAACgPXIkYB1z/vnn6/zzz/%2BPX5%2BRkaGMjIwWjxlj9Mgjj2jWrFkaM2aMJOn5559XbGysXnrpJd1%2B%2B%2B3atm2bCgsLtWbNGg0aNEiStGDBAqWkpGj79u3q06ePFi9erMOHD2vRokVyu91KSkrSv/71Lz388MPKy8vjS6sBAEAzjgSs22677XuPP/300yf9HpWVlaqtrVVaWprV5na7NXToUK1evVq33367SktL5fF4rHAlSYMHD5bH49Hq1avVp08flZaWaujQoXK73Vaf9PR05efn67PPPlNiYuJJ1woAANoXRwJWTU1N0H5jY6O2bNmi/fv367LLLrPlPY59SjE2NjaoPTY2Vjt37rT6xMTENHttTEyM9fra2lqde%2B65zc5x7FhLASsQCCgQCFj7fr//Px8IAAAIOY4ErGP3N33TkSNH9Nvf/lYXXHCBre/17Ut4xpigtpYu8R2vz7Eb3L/r8mBBQYHmzJnzH9cMAABCm2PfRfhtHTt21PTp0/XAAw/Ycj6v1ytJzZ63VVdXZ61Aeb1e7d69u9lr9%2BzZE9SnpXNIzVfHjsnPz5fP57O26urqkxsMAAAIKadMwJKkTz/9VI2NjbacKzExUV6vV8XFxVZbQ0ODSkpKNGTIEElSSkqKfD6f1q1bZ/VZu3atfD5fUJ%2BVK1eqoaHB6lNUVKT4%2BPhmlw6PcbvdioiICNoAAMDpw5FLhDNmzAjaN8aopqZGy5cv19ixY0/4PAcOHNDHH39s7VdWVqq8vFxRUVE655xzNGXKFM2bN0%2B9e/dW7969NW/ePHXp0kWZmZmSpAsuuEDDhw9Xbm6unnrqKUlf34A/cuRI9enTR9LXj3GYM2eOcnJydNddd2nHjh2aN2%2Be7r77bj5BCAAAWuRIwCotLQ3aP%2BOMM9SjRw/dd999ys3NPeHzbNiwQampqdZ%2BXl6eJCk7O1uLFi3SjBkzdOjQIY0fP1719fUaNGiQioqKrGdgSdLixYs1efJk69OGo0eP1vz5863jHo9HxcXFmjBhggYOHKjIyEjl5eVZ7wUAAPBtLsMjyVud3%2B%2BXx%2BORz%2BfjcmEIGTir0OkSfpANc4c7XQIAnFKc/Pt7St2DBQAA0B44conwkksuOeH7l755AzoAAEAocCRgpaam6qmnntL555%2BvlJQUSdKaNWu0fft23X777UFPTQcAAAg1jgSsffv2acKECZo3b15Q%2B6xZs7R7924988wzTpQFAABgC0fuwXrllVd08803N2vPycnRq6%2B%2B6kBFAAAA9nEkYLndbq1evbpZ%2B%2BrVq7k8CAAAQp4jlwgnT56scePGadOmTRo8eLCkr%2B/BWrBgge666y4nSgIAALCNIwFr1qxZSkxM1J///Gc999xzkr5%2BqvqCBQusp6wDAACEKkcClvT1V9AQpgAAQHvk2ING/X6/Fi1apLvvvlv19fWSpA8//FA1NTVOlQQAAGALR1awKioq9Itf/EJdunRRdXW1cnJyFBkZqVdeeUW7du3S888/70RZAAAAtnBkBWvq1KnKzMzUJ598os6dO1vtI0aM0MqVK50oCQAAwDaOrGCtX79eTz75ZLOvyzn77LO5RAgAAEKeIytYYWFhOnDgQLP2HTt2KDo62oGKAAAA7ONIwBo9erT%2B53/%2BR0eOHJEkuVwuff7555o5c6bGjBnjREkAAAC2cSRgPfTQQ/riiy/k9Xp16NAhXX755frRj36kzp07N/t%2BQgAAgFDjyD1YHo9Hq1evVnFxsTZu3KijR49qwIABSk9Pb3ZfFgAAQKhp84DV2Nioq666Sk888YTS0tKUlpbW1iUAAAC0qja/RNipUydt2rSJlSoAANBuOXIP1o033qiFCxc68dYAAACtzrHvIpw/f75WrFihgQMHqmvXrkHH7r//foeqAgAAOHmOBKyysjL169dPkvTRRx8FHePSIQAACHVtGrA%2B/fRTJSYm6oMPPmjLtwUAAGhTbXoPVu/evbVnzx5r/7rrrtPu3bvbsgQAAIBW16YByxgTtP/222/r4MGDbVkCAABAq3PsJnecfgbOKnS6BAAA2kSbrmC5XK5mN7FzUzsAAGhv2nQFyxijnJwcud1uSdLhw4c1bty4Zo9peP3119uyLAAAAFu1acDKzs4O2r/xxhvb8u0BAADaRJsGrLZ%2Bevu5556rnTt3NmsfP368Hn/8cQ0bNkwlJSVBx6677jotWbLE2q%2Bvr9fkyZO1fPlySdLo0aP12GOP6ayzzmrd4gEAQMhq1ze5r1%2B/Xk1NTdZ%2BRUWFrrzySv3qV7%2By2nJzc3XPPfdY%2B%2BHh4UHnyMzM1K5du1RY%2BPUN2rfddpuysrL017/%2BtZWrBwAAoapdB6wePXoE7d93330677zzNHToUKutS5cu8nq9Lb5%2B27ZtKiws1Jo1azRo0CBJ0oIFC5SSkqLt27erT58%2BrVc8AAAIWY582bMTGhoa9OKLL%2BqWW24J%2BuTi4sWLFR0drYsuukjTp0/X/v37rWOlpaXyeDxWuJKkwYMHy%2BPxaPXq1d/5XoFAQH6/P2gDAACnj3a9gvVNy5Yt0759%2B5STk2O1jR07VomJifJ6vaqoqFB%2Bfr4%2B/PBDFRcXS5Jqa2sVExPT7FwxMTGqra39zvcqKCjQnDlzbB8DAAAIDadNwHr22WeVkZGh%2BPh4qy03N9f6OSkpSb1799bAgQO1ceNGDRgwQFLLz%2Bkyxnzv87vy8/OVl5dn7fv9fiUkJNgxDAAAEAJOi4C1c%2BdOrVix4rjP1xowYIA6deqkHTt2aMCAAfJ6vS1%2BV%2BKePXsUGxv7nedxu93Ws74AAMDp57S4B2vhwoWKiYnRiBEjvrffli1b1NjYqLi4OElSSkqKfD6f1q1bZ/VZu3atfD6fhgwZ0qo1AwCA0NXuV7COHj2qhQsXKjs7Wx07/r/hfvLJJ1q8eLGuuuoqRUdHa%2BvWrZo2bZouvvhiXXrppZKkCy64QMOHD1dubq6eeuopSV8/pmHkyJF8ghAAAHyndr%2BCtWLFClVVVemWW24Jag8LC9O7776r9PR09enTR5MnT1ZaWppWrFihDh06WP0WL16svn37Ki0tTWlpaerXr59eeOGFth4GAAAIIe1%2BBSstLU3GmGbtCQkJzZ7i3pKoqCi9%2BOKLrVEaAABop9r9ChYAAEBbI2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAACtBnnqAAARc0lEQVQ2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiso9MFALDHwFmFTpdwwjbMHe50CQDQqljBAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALBZuw5Ys2fPlsvlCtq8Xq913Bij2bNnKz4%2BXuHh4Ro2bJi2bNkSdI76%2BnplZWXJ4/HI4/EoKytL%2B/bta%2BuhAACAENKuA5YkXXTRRaqpqbG2zZs3W8fuv/9%2BPfzww5o/f77Wr18vr9erK6%2B8Uvv377f6ZGZmqry8XIWFhSosLFR5ebmysrKcGAoAAAgR7f45WB07dgxatTrGGKNHHnlEs2bN0pgxYyRJzz//vGJjY/XSSy/p9ttv17Zt21RYWKg1a9Zo0KBBkqQFCxYoJSVF27dvV58%2Bfdp0LAAAIDS0%2BxWsHTt2KD4%2BXomJibr%2B%2Buv16aefSpIqKytVW1urtLQ0q6/b7dbQoUO1evVqSVJpaak8Ho8VriRp8ODB8ng8Vh8AAIBva9crWIMGDdJf/vIXnX/%2B%2Bdq9e7fuvfdeDRkyRFu2bFFtba0kKTY2Nug1sbGx2rlzpySptrZWMTExzc4bExNjvb4lgUBAgUDA2vf7/XYMBwAAhIh2HbAyMjKsn/v27auUlBSdd955ev755zV48GBJksvlCnqNMSao7dvHW%2BrzbQUFBZozZ87Jlg8AAEJUu79E%2BE1du3ZV3759tWPHDuu%2BrG%2BvRNXV1VmrWl6vV7t37252nj179jRb%2Bfqm/Px8%2BXw%2Ba6uurrZxFAAA4FR3WgWsQCCgbdu2KS4uTomJifJ6vSouLraONzQ0qKSkREOGDJEkpaSkyOfzad26dVaftWvXyufzWX1a4na7FREREbQBAIDTR7u%2BRDh9%2BnSNGjVK55xzjurq6nTvvffK7/crOztbLpdLU6ZM0bx589S7d2/17t1b8%2BbNU5cuXZSZmSlJuuCCCzR8%2BHDl5ubqqaeekiTddtttGjlyJJ8gBAAA36ldB6xdu3bphhtu0N69e9WjRw8NHjxYa9asUa9evSRJM2bM0KFDhzR%2B/HjV19dr0KBBKioqUrdu3axzLF68WJMnT7Y%2BbTh69GjNnz/fkfEAAIDQ4DLGGKeLaO/8fr88Ho98Pt9pfblw4KxCp0vAKWLD3OFOlwDgNODk39/T6h4sAACAtkDAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGzWrgNWQUGBLrnkEnXr1k0xMTG6%2BuqrtX379qA%2Bw4YNk8vlCtquv/76oD719fXKysqSx%2BORx%2BNRVlaW9u3b15ZDAQAAIaRdB6ySkhJNmDBBa9asUXFxsY4cOaK0tDQdPHgwqF9ubq5qamqs7amnngo6npmZqfLychUWFqqwsFDl5eXKyspqy6EAAIAQ0tHpAlpTYWFh0P7ChQsVExOjsrIyXXbZZVZ7ly5d5PV6WzzHtm3bVFhYqDVr1mjQoEGSpAULFiglJUXbt29Xnz59Wm8AAAAgJLXrFaxv8/l8kqSoqKig9sWLFys6OloXXXSRpk%2Bfrv3791vHSktL5fF4rHAlSYMHD5bH49Hq1atbfJ9AICC/3x%2B0AQCA00e7XsH6JmOM8vLy9LOf/UxJSUlW%2B9ixY5WYmCiv16uKigrl5%2Bfrww8/VHFxsSSptrZWMTExzc4XExOj2traFt%2BroKBAc%2BbMaZ2BAACAU95pE7AmTpyojz76SKtWrQpqz83NtX5OSkpS7969NXDgQG3cuFEDBgyQJLlcrmbnM8a02C5J%2Bfn5ysvLs/b9fr8SEhLsGAYAAAgBp0XAmjRpkpYvX66VK1eqZ8%2Be39t3wIAB6tSpk3bs2KEBAwbI6/Vq9%2B7dzfrt2bNHsbGxLZ7D7XbL7XbbUjsAAAg97foeLGOMJk6cqNdff13vvfeeEhMTj/uaLVu2qLGxUXFxcZKklJQU%2BXw%2BrVu3zuqzdu1a%2BXw%2BDRkypNVqBwAAoatdr2BNmDBBL730kt58801169bNumfK4/EoPDxcn3zyiRYvXqyrrrpK0dHR2rp1q6ZNm6aLL75Yl156qSTpggsu0PDhw5Wbm2s9vuG2227TyJEj%2BQQhAABoUbtewXryySfl8/k0bNgwxcXFWdvSpUslSWFhYXr33XeVnp6uPn36aPLkyUpLS9OKFSvUoUMH6zyLFy9W3759lZaWprS0NPXr108vvPCCU8MCAACnuHa9gmWM%2Bd7jCQkJKikpOe55oqKi9OKLL9pVFgAAaOfa9QoWAACAEwhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANuvodAEATj8DZxU6XcIPsmHucKdLABBiWMECAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGY8piHEhdrH3QEAOB2wggUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzXhMAwAcR6g9DmXD3OFOlwCc9ljBOkFPPPGEEhMT1blzZyUnJ%2BuDDz5wuiQAAHCKImCdgKVLl2rKlCmaNWuWNm3apJ///OfKyMhQVVWV06UBAIBTEAHrBDz88MO69dZb9Zvf/EYXXHCBHnnkESUkJOjJJ590ujQAAHAK4h6s42hoaFBZWZlmzpwZ1J6WlqbVq1e3%2BJpAIKBAIGDt%2B3w%2BSZLf77e9vqbAQdvPCSC0XTz9NadLOGEld1/pdAlox4793TXGtPl7E7COY%2B/evWpqalJsbGxQe2xsrGpra1t8TUFBgebMmdOsPSEhoVVqBIBQ5XnI6QpwOti/f788Hk%2BbvicB6wS5XK6gfWNMs7Zj8vPzlZeXZ%2B0fPXpUX331lbp37/6dr/kh/H6/EhISVF1drYiIiJM%2BH%2BzBvJyamJdTE/Nyampv82KM0f79%2BxUfH9/m703AOo7o6Gh16NCh2WpVXV1ds1WtY9xut9xud1DbWWedZXttERER7eIfQHvDvJyamJdTE/NyampP89LWK1fHcJP7cYSFhSk5OVnFxcVB7cXFxRoyZIhDVQEAgFMZK1gnIC8vT1lZWRo4cKBSUlL09NNPq6qqSuPGjXO6NAAAcArqMHv27NlOF3GqS0pKUvfu3TVv3jw9%2BOCDOnTokF544QX179/fsZo6dOigYcOGqWNHMvKphHk5NTEvpybm5dTEvNjDZZz47CIAAEA7xj1YAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWCHmiSeeUGJiojp37qzk5GR98MEHTpfUrq1cuVKjRo1SfHy8XC6Xli1bFnTcGKPZs2crPj5e4eHhGjZsmLZs2RLUp76%2BXllZWfJ4PPJ4PMrKytK%2BffvachjtTkFBgS655BJ169ZNMTExuvrqq7V9%2B/agPoFAQJMmTVJ0dLS6du2q0aNHa9euXUF9qqqqNGrUKHXt2lXR0dGaPHmyGhoa2nIo7cqTTz6pfv36WQ%2BpTElJ0TvvvGMdZ06cV1BQIJfLpSlTplhtzEvrIGCFkKVLl2rKlCmaNWuWNm3apJ///OfKyMhQVVWV06W1WwcPHlT//v01f/78Fo/ff//9evjhhzV//nytX79eXq9XV155pfbv32/1yczMVHl5uQoLC1VYWKjy8nJlZWW11RDapZKSEk2YMEFr1qxRcXGxjhw5orS0NB08%2BP%2B%2B/HzKlCl64403tGTJEq1atUoHDhzQyJEj1dTUJElqamrSiBEjdPDgQa1atUpLlizRa6%2B9pmnTpjk1rJDXs2dP3XfffdqwYYM2bNigyy%2B/XP/93/9t/U8Hc%2BKs9evX6%2Bmnn1a/fv2C2pmXVmIQMn7605%2BacePGBbX9%2BMc/NjNnznSootOLJPPGG29Y%2B0ePHjVer9fcd999Vtvhw4eNx%2BMx//u//2uMMWbr1q1GklmzZo3Vp7S01Egy//znP9uu%2BHaurq7OSDIlJSXGGGP27dtnOnXqZJYsWWL1%2Bfzzz80ZZ5xhCgsLjTHGvP322%2BaMM84wn3/%2BudXn5ZdfNm632/h8vrYdQDsWGRlpnnnmGebEYfv37ze9e/c2xcXFZujQoeaOO%2B4wxvBvpTWxghUiGhoaVFZWprS0tKD2tLQ0rV692qGqTm%2BVlZWqra0NmhO3262hQ4dac1JaWiqPx6NBgwZZfQYPHiyPx8O82cjn80mSoqKiJEllZWVqbGwMmpv4%2BHglJSUFzU1SUlLQl8Cmp6crEAiorKysDatvn5qamrRkyRIdPHhQKSkpzInDJkyYoBEjRugXv/hFUDvz0np4TGuI2Lt3r5qampp9wXRsbGyzL6JG2zj2e29pTnbu3Gn1iYmJafbamJgY5s0mxhjl5eXpZz/7mZKSkiR9/XsPCwtTZGRkUN9v/nupra1tNneRkZEKCwtjbk7C5s2blZKSosOHD%2BvMM8/UG2%2B8oQsvvFDl5eXMiUOWLFmisrIybdiwodkx/q20HgJWiHG5XEH7xphmbWhbx5uTluaHebPPxIkT9dFHH2nVqlXH7cvctL4%2BffqovLxc%2B/bt02uvvabs7GyVlJR8Z3/mpHVVV1frjjvuUFFRkTp37nzCr2NeTh6XCENEdHS0OnTo0Oz/Furq6pr9nwXahtfrlaTvnROv16vdu3c3e%2B2ePXuYNxtMmjRJy5cv1/vvv6%2BePXta7V6vVw0NDaqvrw/q/%2B25%2Bfbc1dfXq7Gxkbk5CWFhYfqv//ovDRw4UAUFBerfv7/%2B/Oc/MycOKSsrU11dnZKTk9WxY0d17NhRJSUlevTRR9WxY0fFxsYyL62EgBUiwsLClJycrOLi4qD24uJiDRkyxKGqTm%2BJiYnyer1Bc9LQ0KCSkhJrTlJSUuTz%2BbRu3Tqrz9q1a%2BXz%2BZi3k2CM0cSJE/X666/rvffeU2JiYtDx5ORkderUKWhuampqVFFRETQ3FRUVqqmpsfoUFRXJ7XYrOTm5bQZyGjDGKBAIMCcOueKKK7R582aVl5db28CBAzV27FjrZ%2BallThzbz3%2BE0uWLDGdOnUyzz77rNm6dauZMmWK6dq1q/nss8%2BcLq3d2r9/v9m0aZPZtGmTkWQefvhhs2nTJrNz505jjDH33Xef8Xg85vXXXzebN282N9xwg4mLizN%2Bv986x/Dhw02/fv1MaWmpKS0tNX379jUjR450akjtwm9/%2B1vj8XjMP/7xD1NTU2Nt//73v60%2B48aNMz179jQrVqwwGzduNJdffrnp37%2B/OXLkiDHGmCNHjpikpCRzxRVXmI0bN5oVK1aYnj17mokTJzo1rJCXn59vVq5caSorK81HH31k7rrrLnPGGWeYoqIiYwxzcqr45qcIjWFeWgsBK8Q8/vjjplevXiYsLMwMGDDA%2Blg6Wsf7779vJDXbsrOzjTFfP6rhD3/4g/F6vcbtdpvLLrvMbN68OegcX375pRk7dqzp1q2b6datmxk7dqypr693YDTtR0tzIsksXLjQ6nPo0CEzceJEExUVZcLDw83IkSNNVVVV0Hl27txpRowYYcLDw01UVJSZOHGiOXz4cBuPpv245ZZbrP8%2B9ejRw1xxxRVWuDKGOTlVfDtgMS%2Btw2WMMc6snQEAALRP3IMFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM3%2BP9HgnYJxKyAsAAAAAElFTkSuQmCC\"/>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-3056207947965481943\">\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\">101.0</td>\n",
" <td class=\"number\">71</td>\n",
" <td class=\"number\">1.9%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">93.0</td>\n",
" <td class=\"number\">67</td>\n",
" <td class=\"number\">1.8%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">98.0</td>\n",
" <td class=\"number\">63</td>\n",
" <td class=\"number\">1.7%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">103.0</td>\n",
" <td class=\"number\">63</td>\n",
" <td class=\"number\">1.7%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">87.0</td>\n",
" <td class=\"number\">59</td>\n",
" <td class=\"number\">1.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">102.0</td>\n",
" <td class=\"number\">59</td>\n",
" <td class=\"number\">1.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">94.0</td>\n",
" <td class=\"number\">56</td>\n",
" <td class=\"number\">1.5%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">91.0</td>\n",
" <td class=\"number\">56</td>\n",
" <td class=\"number\">1.5%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">99.0</td>\n",
" <td class=\"number\">55</td>\n",
" <td class=\"number\">1.5%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">92.0</td>\n",
" <td class=\"number\">54</td>\n",
" <td class=\"number\">1.4%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"other\">\n",
" <td class=\"fillremaining\">Other values (231)</td>\n",
" <td class=\"number\">2938</td>\n",
" <td class=\"number\">77.9%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"missing\">\n",
" <td class=\"fillremaining\">(Missing)</td>\n",
" <td class=\"number\">231</td>\n",
" <td class=\"number\">6.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:8%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme-3056207947965481943\">\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\">2.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2.9</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">3.0</td>\n",
" <td class=\"number\">2</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\">4.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">4.8</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&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\">273.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">289.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">301.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">372.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">430.0</td>\n",
" <td class=\"number\">2</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_age\">age<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>94</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Unique (%)</th>\n",
" <td>2.5%</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>1</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>51.736</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Minimum</th>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>455</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=\"minihistogram8619480318242315556\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAAahJREFUeJzt3DGO01AYhdHfEa2dPop3MYtgT9SU7GcWwS4SZQG2KKYgjwJCw%2BhKDPCMpXPaKLqO8j5FLpyhtdaqs%2Bv1WvM8955l5y6XS53P566b77qu/TCOY1V9/8DTNG1xCezIsiw1z/PPc9PTJoEMw1BVVdM0/ZVAnj48//Z7Pn98/8e79PU4Nz0dui/CjggEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgWCTB6aStzz8BP%2BKXxAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCASb/Hl1a62qqpZl%2BeW1ry9fulzDa9v8nx7f1ePc9LRJIOu6VlXVPM9bzFdV1fHTZtO80bqudTweu24ObYMs7/d73W63GsexhmHoPc/OtNZqXdc6nU51OPS9K9gkENgLN%2BkQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBN8AWg1B2rNZATYAAAAASUVORK5CYII%3D\">\n",
"\n",
"</div>\n",
"<div class=\"col-md-12 text-right\">\n",
" <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives8619480318242315556,#minihistogram8619480318242315556\"\n",
" aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"row collapse col-md-12\" id=\"descriptives8619480318242315556\">\n",
" <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
" <li role=\"presentation\" class=\"active\"><a href=\"#quantiles8619480318242315556\"\n",
" aria-controls=\"quantiles8619480318242315556\" role=\"tab\"\n",
" data-toggle=\"tab\">Statistics</a></li>\n",
" <li role=\"presentation\"><a href=\"#histogram8619480318242315556\" aria-controls=\"histogram8619480318242315556\"\n",
" role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
" <li role=\"presentation\"><a href=\"#common8619480318242315556\" aria-controls=\"common8619480318242315556\"\n",
" role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
" <li role=\"presentation\"><a href=\"#extreme8619480318242315556\" aria-controls=\"extreme8619480318242315556\"\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=\"quantiles8619480318242315556\">\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>20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q1</th>\n",
" <td>36</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Median</th>\n",
" <td>54</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Q3</th>\n",
" <td>67</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95-th percentile</th>\n",
" <td>79</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Maximum</th>\n",
" <td>455</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Range</th>\n",
" <td>454</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Interquartile range</th>\n",
" <td>31</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>20.085</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Coef of variation</th>\n",
" <td>0.38822</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Kurtosis</th>\n",
" <td>41.863</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Mean</th>\n",
" <td>51.736</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MAD</th>\n",
" <td>16.248</td>\n",
" </tr>\n",
" <tr class=\"\">\n",
" <th>Skewness</th>\n",
" <td>1.9558</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sum</th>\n",
" <td>195100</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Variance</th>\n",
" <td>403.41</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Memory size</th>\n",
" <td>29.5 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=\"histogram8619480318242315556\">\n",
" <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAIABJREFUeJzt3X10VOWBx/HfQMgE02QMhmQSk7LRBYsGWE0sBF9A0AAlUIutttEssRal8tI0sFbg1OJWgaWK1kOl1WqlvjTYg3jwSNMEqwEOiUBIhCCLbkUSICFgwyRkIQnh2T883HUIKpaHuUz4fs6Zc5h7n5l57r1ovty5mfEYY4wAAABgTQ%2B3JwAAANDdEFgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWEVgAAACWRbg9gQvBiRMntH//fsXExMjj8bg9HQAALgjGGLW0tCg5OVk9eoT2nBKBFQL79%2B9Xamqq29MAAOCCVFdXp5SUlJC%2BJoEVAjExMZI%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%2BM1c%2BZMtbe3B40pKytTRkaGoqKidNlll%2Bm3v/3tOd8%2BAAAQvsI2sMrKyjRt2jRVVFSotLRUx48fV3Z2tlpbW50xBQUFWrVqlYqKirRhwwYdOXJEOTk56uzslCR1dnZq/Pjxam1t1YYNG1RUVKSVK1dq1qxZznPs3r1b3/rWt3TDDTeoqqpKc%2BfO1cyZM7Vy5cqQbzMAAAgPHmOMcXsSNhw8eFAJCQkqKyvTjTfeqEAgoL59%2B%2BrFF1/UHXfcIUnav3%2B/UlNTtWbNGo0ZM0Z/%2BctflJOTo7q6OiUnJ0uSioqKlJ%2Bfr8bGRsXGxupnP/uZVq9erZ07dzqvNXXqVL333nsqLy8/o7k1NzfL5/MpEAgoNjbW/saHicx5xW5P4SvZ8uhYt6cAADgLbv78DdszWKcKBAKSpD59%2BkiSKisr1dHRoezsbGdMcnKy0tPTtXHjRklSeXm50tPTnbiSpDFjxqitrU2VlZXOmM8%2Bx8kxW7ZsUUdHxzndJgAAEJ4i3J6ADcYYFRYW6vrrr1d6erokqaGhQZGRkYqLiwsam5iYqIaGBmdMYmJi0Pq4uDhFRkZ%2B4ZjExEQdP35chw4dUlJSUpf5tLW1qa2tzbnf3Nx89hsJAADCRrc4gzV9%2BnRt27ZNf/rTn750rDFGHo/Huf/ZP5/pmJPvqp7usdKnF%2BD7fD7nlpqaekbbAQAAuoewD6wZM2Zo9erVevvtt5WSkuIs9/v9am9vV1NTU9D4xsZG54yU3%2B93zlSd1NTUpI6Oji8c09jYqIiICF1yySWnndOcOXMUCAScW11d3VlvJwAACB9hG1jGGE2fPl2vvfaa/va3vyktLS1ofUZGhnr16qXS0lJnWX19vWpqajR8%2BHBJUlZWlmpqalRfX%2B%2BMKSkpkdfrVUZGhjPms89xckxmZqZ69ep12rl5vV7FxsYG3QAAwIUjbANr2rRpeumll/TKK68oJiZGDQ0Namho0NGjRyVJPp9P99xzj2bNmqW33npLVVVVuuuuuzRo0CDdfPPNkqTs7GxdeeWVysvLU1VVld566y3Nnj1bU6ZMcaJo6tSp2rNnjwoLC7Vz5049//zzeu655zR79mzXth0AAJzfwjawli1bpkAgoJEjRyopKcm5rVixwhnzxBNP6NZbb9Xtt9%2Bu6667ThdddJHeeOMN9ezZU5LUs2dPvfnmm4qKitJ1112n22%2B/Xbfeeqsee%2Bwx5znS0tK0Zs0avfPOO/q3f/s3/fKXv9RTTz2l2267LeTbDAAAwkO3%2BRys8xmfg/UpPgcLABBKfA4WAABAN0JgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWEZgAQAAWBbWgbVu3TpNmDBBycnJ8ng8ev3114PW5%2Bfny%2BPxBN2GDRsWNKatrU0zZsxQfHy8oqOjNXHiRO3duzdoTG1trSZMmKDo6GjFx8dr5syZam9vP%2BfbBwAAwlNYB1Zra6uGDBmipUuXfu6YsWPHqr6%2B3rmtWbMmaH1BQYFWrVqloqIibdiwQUeOHFFOTo46OzslSZ2dnRo/frxaW1u1YcMGFRUVaeXKlZo1a9Y53TYAABC%2BItyewNkYN26cxo0b94VjvF6v/H7/adcFAgE999xzevHFF3XzzTdLkl566SWlpqZq7dq1GjNmjEpKSvT%2B%2B%2B%2Brrq5OycnJkqTHH39c%2Bfn5evTRRxUbG2t3owAAQNgL6zNYZ%2BKdd95RQkKCBgwYoClTpqixsdFZV1lZqY6ODmVnZzvLkpOTlZ6ero0bN0qSysvLlZ6e7sSVJI0ZM0ZtbW2qrKwM3YYAAICwEdZnsL7MuHHj9L3vfU/9%2BvXT7t279fOf/1yjRo1SZWWlvF6vGhoaFBkZqbi4uKDHJSYmqqGhQZLU0NCgxMTEoPVxcXGKjIx0xpyqra1NbW1tzv3m5mbLWwYAAM5n3Tqw7rjjDufP6enpyszMVL9%2B/fTmm29q0qRJn/s4Y4w8Ho9z/7N//rwxn7Vw4UI9/PDDZzFzAAAQzrr9W4SflZSUpH79%2BunDDz%2BUJPn9frW3t6upqSloXGNjo3PWyu/3dzlT1dTUpI6Oji5ntk6aM2eOAoGAc6urqzsHWwMAAM5XF1RgffLJJ6qrq1NSUpIkKSMjQ7169VJpaakzpr6%2BXjU1NRo%2BfLgkKSsrSzU1Naqvr3fGlJSUyOv1KiMj47Sv4/V6FRsbG3QDAAAXjrB%2Bi/DIkSP6n//5H%2Bf%2B7t27VV1drT59%2BqhPnz6aP3%2B%2BbrvtNiUlJenjjz/W3LlzFR8fr%2B985zuSJJ/Pp3vuuUezZs3SJZdcoj59%2Bmj27NkaNGiQ81uF2dnZuvLKK5WXl6df/epX%2Bsc//qHZs2drypQphBMAADitsA6sLVu26KabbnLuFxYWSpImT56sZcuWafv27frjH/%2Bow4cPKykpSTfddJNWrFihmJgY5zFPPPGEIiIidPvtt%2Bvo0aMaPXq0XnjhBfXs2VOS1LNnT7355pu6//77dd1116l3797Kzc3VY489FtqN/RyZ84rdngIAADiFxxhjQv2iL730kr773e8qKioq1C/tiubmZvl8PgUCAetnvQisc2fLo2PdngIA4Cycy5%2B/X8aVa7AKCwvl9/t13333adOmTW5MAQAA4JxxJbD279%2Bv559/XvX19br%2B%2But11VVX6fHHH9fBgwfdmA4AAIBVrgRWRESEJk2apNWrV6u2tlaTJ0/W888/r5SUFE2aNElvvvmmXHjnEgAAwArXP6bB7/dr9OjRGjlypDwej7Zs2aLc3Fz1799f69evd3t6AAAAX5lrgXXo0CE9%2BeSTGjJkiK677jo1Njbq9ddf1549e7Rv3z7l5OTo3//9392aHgAAwD/NlY9p%2BM53vqM1a9YoLS1NP/rRjzR58mT17dvXWf%2B1r31NDzzwgJ566ik3pgcAAHBWXAms2NhYrV27VjfccMPnjklKSnK%2B0gYAACCcuBJYy5cv/9IxHo9Hl19%2BeQhmAwAAYJcr12D99Kc/1dKlS7ss/81vfqNZs2a5MCMAAAB7XAmsP//5zxo2bFiX5VlZWVqxYoULMwIAALDHlcA6dOiQ4uLiuiyPjY3VoUOHXJgRAACAPa4E1uWXX66//vWvXZb/9a9/VVpamgszAgAAsMeVi9wLCgpUUFCgTz75RKNGjZIkvfXWW1q8eLEee%2BwxN6YEAABgjSuBNWXKFB07dkwLFizQL37xC0lSSkqKnnrqKf3whz90Y0oAAADWuBJYkjRjxgzNmDFD9fX16t27ty6%2B%2BGK3pgIAAGCVa4F1UlJSkttTAAAAsMqVi9wPHjyou%2B%2B%2BW1//%2BtcVFRWlyMjIoBsAAEA4c%2BUMVn5%2Bvv7%2B97/rP/7jP5SUlCSPx%2BPGNAAAAM4JVwJr3bp1Wrduna6%2B%2Bmo3Xh4AAOCccuUtwpSUFM5aAQCAbsuVwHriiSc0Z84c7d27142XBwAAOKdceYswLy9PLS0t6tevn2JjY9WrV6%2Bg9Y2NjW5MCwAAwApXAmvRokVuvCwAAEBIuBJY99xzjxsvCwAAEBKuXIMlSR9//LHmz5%2BvvLw85y3BkpIS7dy5060pAQAAWOFKYK1fv15XXXWVysrK9Oqrr%2BrIkSOSpK1bt%2Bqhhx5yY0oAAADWuBJYP/vZzzR//ny9/fbbQZ/cPmrUKFVUVLgxJQAAAGtcCaxt27bpu9/9bpflCQkJOnjwoAszAgAAsMeVwLr44ovV0NDQZXl1dbUuvfRSF2YEAABgjyuB9f3vf18PPvigDh486Hyi%2B7vvvqvZs2frrrvucmNKAAAA1rgSWAsWLJDf71dSUpKOHDmiK6%2B8UsOHD9e1116rn//8525MCQAAwBpXPgcrMjJSK1as0AcffKCtW7fqxIkTuuaaa/SNb3zDjekAAABY5UpgnTRgwAANGDDAzSkAAABY50pg3XvvvV%2B4/plnngnRTAAAAOxzJbDq6%2BuD7nd0dGjHjh1qaWnRjTfe6MaUAAAArHElsN54440uy44fP64f//jHGjhwoAszAgAAsMe17yI8VUREhGbPnq1f/epXbk8FAADgrJw3gSVJH330kTo6OtyeBgAAwFlx5S3CBx54IOi%2BMUb19fVavXq17rzzTjemBAAAYI0rgVVeXh50v0ePHurbt68WLVqkKVOmuDElAAAAa1wJrPXr17vxsgAAACFxXl2DBQAA0B24cgbr2muvdb7k%2Bcts2rTpHM8GAADALlcC66abbtLvfvc7DRgwQFlZWZKkiooK7dq1S/fdd5%2B8Xq8b0wIAALDClcA6fPiwpk2bpgULFgQtnzdvng4cOKDf//73bkwLAADACleuwXr11Vd19913d1men5%2BvP//5zy7MCAAAwB5XAsvr9Wrjxo1dlm/cuJG3BwEAQNhz5S3CmTNnaurUqaqqqtKwYcMkfXoN1rPPPqu5c%2Be6MSUAAABrXAmsefPmKS0tTb/%2B9a/1/PPPS5IGDhyoZ599Vrm5uW5MCQAAwBpXAkuScnNziSkAANAtufZBo83NzXrhhRf00EMPqampSZL03nvvqb6%2B3q0pAQAAWOHKGayamhrdfPPNuuiii1RXV6f8/HzFxcXp1Vdf1d69e7V8%2BXI3pgUAAGCFK2ewfvrTnyo3N1d///vfFRUV5SwfP3681q1b58aUAAAArHHlDNbmzZu1bNmyLl%2BXc%2Bmll/IWIQAACHuunMGKjIzUkSNHuiz/8MMPFR8f78KMAAAA7HElsCZOnKhf/vKXOn78uCTJ4/Fo3759evDBBzVp0iQ3pgQAAGCNK4H1%2BOOPa//%2B/fL7/Tp69KhGjRqlyy67TFFRUV2%2Bn/CLrFu3ThMmTFBycrI8Ho9ef/31oPXGGM2fP1/Jycnq3bu3Ro4cqR07dgSNaWpqUl5ennw%2Bn3w%2Bn/Ly8nT48OGgMdu3b9eIESPUu3dvXXrppfrP//xPGWP%2B%2BR0AAAC6NVeuwfL5fNq4caNKS0u1detWnThxQtdcc43GjBnT5bqsL9La2qohQ4bo7rvv1m233dZl/eLFi7VkyRK98MILGjBggB555BHdcsst2rVrl2JiYiR9%2Bnlce/fuVXFxsSTp3nvvVV5ent544w1Jn36cxC233KKbbrpJmzdv1gcffKD8/HxFR0dr1qxZFvYGAADobkIeWB0dHfrWt76lp59%2BWtnZ2crOzv6nn2vcuHEaN27cadcZY/Tkk09q3rx5ztuOy5cvV2Jiol555RXdd9992rlzp4qLi1VRUaGhQ4dKkp599lllZWVp165duuKKK/Tyyy/r2LFjeuGFF%2BT1epWenq4PPvhAS5YsUWFh4VcKQgAAcGEI%2BVuEvXr1UlVV1TkPk927d6uhoSEo4Lxer0aMGOF80XR5ebl8Pp8TV5I0bNgw5wzbyTEjRowI%2BhLqMWPGaP/%2B/fr4449P%2B9ptbW1qbm4OugEAgAuHK9dg3XXXXfrDH/5wTl%2BjoaFBkpSYmBi0PDEx0VnX0NCghISELo9NSEgIGnO65/jsa5xq4cKFzjVdPp9PqampZ7cxAAAgrLj2XYRLly7V2rVrlZmZqejo6KB1ixcvtvY6p54pM8YELTvdmbQvG3PyAvfPOws3Z84cFRYWOvebm5uJLAAALiCuBFZlZaUGDx4sSdq2bVvQOltvHfr9fkmfnmVKSkpyljc2NjpnoPx%2Bvw4cONDlsQcPHgwac%2BqZqsbGRkldz46d5PV6g95SBAAAF5aQBtZHH32ktLQ0rV%2B//py/Vlpamvx%2Bv0pLS3X11VdLktrb21VWVqb/%2Bq//kiRlZWUpEAho06ZN%2BuY3vylJevfddxUIBDR8%2BHBnzNy5c9Xe3q7IyEhJUklJiZKTk/Uv//Iv53w7AABA%2BAnpNVj9%2B/fXwYMHnft33HHHac8gnakjR46ourpa1dXVkj69sL26ulq1tbXyeDwqKCjQggULtGrVKtXU1Cg/P18XXXSRcnNzJUkDBw7U2LFjNWXKFFVUVKiiokJTpkxRTk6OrrjiCkmffoyD1%2BtVfn6%2BampqtGrVKi1YsIDfIAQAAJ8rpIF16odzrlmzRq2trf/0823ZskVXX321c4aqsLBQV199tR566CFJ0gMPPKCCggLdf//9yszM1L59%2B1RSUuJ8BpYkvfzyyxo0aJDzkRGDBw/Wiy%2B%2B6Kz3%2BXwqLS3V3r17lZmZqfvvv1%2BFhYVB11gBAAB8lseE8CPJe/ToEfSbezExMXrvvfd02WWXhWoKrmhubpbP51MgEFBsbKzV586cV2z1%2BfD/tjw61u0pAADOwrn8%2BftlQnoGy%2BPxdHlbjbfZAABAdxPSi9yNMcrPz3d%2Bw%2B7YsWOaOnVql49peO2110I5LQAAAKtCGliTJ08Oun/XXXeF8uUBAABCIqSBda4/vR0AAOB84MpX5QAAAHRnBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBlBBYAAIBl3Tqw5s%2BfL4/HE3Tz%2B/3OemOM5s%2Bfr%2BTkZPXu3VsjR47Ujh07gp6jqalJeXl58vl88vl8ysvL0%2BHDh0O9KQAAIIx068CSpKuuukr19fXObfv27c66xYsXa8mSJVq6dKk2b94sv9%2BvW265RS0tLc6Y3NxcVVdXq7i4WMXFxaqurlZeXp4bmwIAAMJEhNsTONciIiKCzlqdZIzRk08%2BqXnz5mnSpEmSpOXLlysxMVGvvPKK7rvvPu3cuVPFxcWqqKjQ0KFDJUnPPvussrKytGvXLl1xxRUh3RYAABAeuv0ZrA8//FDJyclKS0vT97//fX300UeSpN27d6uhoUHZ2dnOWK/XqxEjRmjjxo2SpPLycvl8PieuJGnYsGHy%2BXzOGAAAgFN16zNYQ4cO1R//%2BEcNGDBABw4c0COPPKLhw4drx44damhokCQlJiYGPSYxMVF79uyRJDU0NCghIaHL8yYkJDiPP522tja1tbU595ubm21sDgAACBPdOrDGjRvn/HnQoEHKysrS5ZdfruXLl2vYsGGSJI/HE/QYY0zQslPXn27MqRYuXKiHH374bKcPAADCVLd/i/CzoqOjNWjQIH344YfOdVmnnolqbGx0zmr5/X4dOHCgy/McPHiwy5mvz5ozZ44CgYBzq6urs7gVAADgfHdBBVZbW5t27typpKQkpaWlye/3q7S01Fnf3t6usrIyDR8%2BXJKUlZWlQCCgTZs2OWPeffddBQIBZ8zpeL1excbGBt0AAMCFo1u/RTh79mxNmDBBX//619XY2KhHHnlEzc3Nmjx5sjwejwoKCrRgwQL1799f/fv314IFC3TRRRcpNzdXkjRw4ECNHTtWU6ZM0e9%2B9ztJ0r333qucnBx%2BgxAAAHyubh1Ye/fu1Q9%2B8AMdOnRIffv21bBhw1RRUaF%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%2BvXr3Z4SAAA4TxFYZ2DFihUqKCjQvHnzVFVVpRtuuEHjxo1TbW2t21MDAADnIQLrDCxZskT33HOPfvSjH2ngwIF68sknlZqaqmXLlrk9NQAAcB6KcHsC57v29nZVVlbqwQcfDFqenZ2tjRs3nvYxbW1tamtrc%2B4HAgFJUnNzs/X5dba1Wn9OfOrq2SvdnsJXUvbQLW5PAQDOKyd/7hpjQv7aBNaXOHTokDo7O5WYmBi0PDExUQ0NDad9zMKFC/Xwww93WZ6amnpO5ghIku9xt2cAAOenlpYW%2BXy%2BkL4mgXWGPB5P0H1jTJdlJ82ZM0eFhYXO/RMnTugf//iHLrnkks99zFfV3Nys1NRU1dXVKTY21spz4syx/93F/ncX%2B99d7P8zZ4xRS0uLkpOTQ/7aBNaXiI%2BPV8%2BePbucrWpsbOxyVuskr9crr9cbtOziiy8%2BJ/OLjY3lPzAXsf/dxf53F/vfXez/MxPqM1cncZH7l4iMjFRGRoZKS0uDlpeWlmr48OEuzQoAAJzPOIN1BgoLC5WXl6fMzExlZWXpmWeeUW1traZOner21AAAwHmo5/z58%2Be7PYnzXXp6ui655BItWLBAjz32mI4ePaoXX3xRQ4YMcXVePXv21MiRIxURQSe7gf3vLva/u9j/7mL/n/88xo3fXQQAAOjGuAYLAADAMgILAADAMgILAADAMgILAADAMgIrDD399NNKS0tTVFSUMjIytH79eren1C2sW7dOEyZMUHJysjwej15//fWg9cYYzZ8/X8nJyerdu7dGjhypHTt2BI1pampSXl6efD6ffD6f8vLydPjw4VBuRthauHChrr32WsXExCghIUG33nqrdu3aFTSmra1NM2bMUHx8vKKjozVx4kTt3bs3aExtba0mTJig6OhoxcfHa%2BbMmWpvbw/lpoSlZcuWafDgwc6HV2ZlZekvf/mLs559H1oLFy6Ux%2BNRQUGBs4xjEF4IrDCzYsUKFRQUaN68eaqqqtINN9ygcePGqba21u2phb3W1lYNGTJES5cuPe36xYsXa8mSJVq6dKk2b94sv9%2BvW265RS0tLc6Y3NxcVVdXq7i4WMXFxaqurlZeXl6oNiGslZWVadq0aaqoqFBpaamOHz%2Bu7Oxstbb%2B/xeaFxQUaNWqVSoqKtLBe/SyAAAF7UlEQVSGDRt05MgR5eTkqLOzU5LU2dmp8ePHq7W1VRs2bFBRUZFWrlypWbNmubVZYSMlJUWLFi3Sli1btGXLFo0aNUrf/va3nX9EsO9DZ/PmzXrmmWc0ePDgoOUcgzBjEFa%2B%2Bc1vmqlTpwYt%2B8Y3vmEefPBBl2bUPUkyq1atcu6fOHHC%2BP1%2Bs2jRImfZsWPHjM/nM7/97W%2BNMca8//77RpKpqKhwxpSXlxtJ5r//%2B79DN/luorGx0UgyZWVlxhhjDh8%2BbHr16mWKioqcMfv27TM9evQwxcXFxhhj1qxZY3r06GH27dvnjPnTn/5kvF6vCQQCod2AbiAuLs78/ve/Z9%2BHUEtLi%2Bnfv78pLS01I0aMMD/5yU%2BMMfz9D0ecwQoj7e3tqqysVHZ2dtDy7Oxsbdy40aVZXRh2796thoaGoH3v9Xo1YsQIZ9%2BXl5fL5/Np6NChzphhw4bJ5/NxfP4JgUBAktSnTx9JUmVlpTo6OoKOQXJystLT04OOQXp6etAXu44ZM0ZtbW2qrKwM4ezDW2dnp4qKitTa2qqsrCz2fQhNmzZN48eP18033xy0nGMQfvgI2DBy6NAhdXZ2dvmS6cTExC5fRg27Tu7f0%2B37PXv2OGMSEhK6PDYhIYHj8xUZY1RYWKjrr79e6enpkj7dv5GRkYqLiwsa%2B9m//w0NDV2OUVxcnCIjIzkGZ2D79u3KysrSsWPH9LWvfU2rVq3SlVdeqerqavZ9CBQVFamyslJbtmzpso6//%2BGHwApDHo8n6L4xpssynBtftu9Pdxw4Pl/d9OnTtW3bNm3YsOFLx3IM7LniiitUXV2tw4cPa%2BXKlZo8ebLKyso%2Bdzz73p66ujr95Cc/UUlJiaKios74cRyD8xdvEYaR%2BPh49ezZs8u/RBobG7v8qwV2%2Bf1%2BSfrCfe/3%2B3XgwIEujz148CDH5yuYMWOGVq9erbffflspKSnOcr/fr/b2djU1NQWNP/UYnHqMmpqa1NHRwTE4A5GRkfrXf/1XZWZmauHChRoyZIh%2B/etfs%2B9DoLKyUo2NjcrIyFBERIQiIiJUVlamp556ShEREUpMTOQYhBkCK4xERkYqIyNDpaWlQctLS0s1fPhwl2Z1YUhLS5Pf7w/a9%2B3t7SorK3P2fVZWlgKBgDZt2uSMeffddxUIBDg%2BZ8AYo%2BnTp%2Bu1117T3/72N6WlpQWtz8jIUK9evYKOQX19vWpqaoKOQU1Njerr650xJSUl8nq9ysjICM2GdCPGGLW1tbHvQ2D06NHavn27qqurnVtmZqbuvPNO588cgzDjzrX1%2BGcVFRWZXr16meeee868//77pqCgwERHR5uPP/7Y7amFvZaWFlNVVWWqqqqMJLNkyRJTVVVl9uzZY4wxZtGiRcbn85nXXnvNbN%2B%2B3fzgBz8wSUlJprm52XmOsWPHmsGDB5vy8nJTXl5uBg0aZHJyctzapLDy4x//2Ph8PvPOO%2B%2BY%2Bvp65/a///u/zpipU6ealJQUs3btWrN161YzatQoM2TIEHP8%2BHFjjDHHjx836enpZvTo0Wbr1q1m7dq1JiUlxUyfPt2tzQobc%2BbMMevWrTO7d%2B8227ZtM3PnzjU9evQwJSUlxhj2vRs%2B%2B1uExnAMwg2BFYZ%2B85vfmH79%2BpnIyEhzzTXXOL/GjrPz9ttvG0ldbpMnTzbGfPpRDb/4xS%2BM3%2B83Xq/X3HjjjWb79u1Bz/HJJ5%2BYO%2B%2B808TExJiYmBhz5513mqamJhe2Jvycbt9LMn/4wx%2BcMUePHjXTp083ffr0Mb179zY5OTmmtrY26Hn27Nljxo8fb3r37m369Oljpk%2Bfbo4dOxbirQk/P/zhD53/r/Tt29eMHj3aiStj2PduODWwOAbhxWOMMe6cOwMAAOieuAYLAADAMgILAADAMgILAADAMgILAADAMgILAADAMgILAADAMgILAADAMgILAADAMgILAADAMgILAADAMgILAADAMgILAADAMgILAADAMgILAADAMgILAADAMgILAADAMgILAADAMgILAADAsv8DRx8Sk74pskkAAAAASUVORK5CYII%3D\"/>\n",
" </div>\n",
" <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common8619480318242315556\">\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\">59.0</td>\n",
" <td class=\"number\">95</td>\n",
" <td class=\"number\">2.5%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">60.0</td>\n",
" <td class=\"number\">91</td>\n",
" <td class=\"number\">2.4%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">70.0</td>\n",
" <td class=\"number\">90</td>\n",
" <td class=\"number\">2.4%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">73.0</td>\n",
" <td class=\"number\">81</td>\n",
" <td class=\"number\">2.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">55.0</td>\n",
" <td class=\"number\">81</td>\n",
" <td class=\"number\">2.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">63.0</td>\n",
" <td class=\"number\">78</td>\n",
" <td class=\"number\">2.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">72.0</td>\n",
" <td class=\"number\">77</td>\n",
" <td class=\"number\">2.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">58.0</td>\n",
" <td class=\"number\">77</td>\n",
" <td class=\"number\">2.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">62.0</td>\n",
" <td class=\"number\">75</td>\n",
" <td class=\"number\">2.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">61.0</td>\n",
" <td class=\"number\">74</td>\n",
" <td class=\"number\">2.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"other\">\n",
" <td class=\"fillremaining\">Other values (83)</td>\n",
" <td class=\"number\">2952</td>\n",
" <td class=\"number\">78.3%</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=\"extreme8619480318242315556\">\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\">1.0</td>\n",
" <td class=\"number\">6</td>\n",
" <td class=\"number\">0.2%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">2.0</td>\n",
" <td class=\"number\">4</td>\n",
" <td class=\"number\">0.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:67%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">4.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:17%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">5.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:17%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">6.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:17%\">&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\">91.0</td>\n",
" <td class=\"number\">2</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\">92.0</td>\n",
" <td class=\"number\">2</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\">93.0</td>\n",
" <td class=\"number\">2</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\">94.0</td>\n",
" <td class=\"number\">2</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\">455.0</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:50%\">&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_goitre\">goitre<br/>\n",
" <small>Categorical</small>\n",
" </p>\n",
" </div><div class=\"col-md-3\">\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-md-6 collapse in\" id=\"minifreqtable5186465774477473637\">\n",
" <table class=\"mini freq\">\n",
" <tr class=\"\">\n",
" <th>f</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: 99.1%\">\n",
" 3738\n",
" </div>\n",
" \n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <th>t</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 0.9%\">\n",
" &nbsp;\n",
" </div>\n",
" 34\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=\"#freqtable5186465774477473637, #minifreqtable5186465774477473637\"\n",
" aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable5186465774477473637\">\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\">f</td>\n",
" <td class=\"number\">3738</td>\n",
" <td class=\"number\">99.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">t</td>\n",
" <td class=\"number\">34</td>\n",
" <td class=\"number\">0.9%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&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_hypopituitary\">hypopituitary<br/>\n",
" <small>Categorical</small>\n",
" </p>\n",
" </div><div class=\"col-md-3\">\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-md-6 collapse in\" id=\"minifreqtable2992130013901635719\">\n",
" <table class=\"mini freq\">\n",
" <tr class=\"\">\n",
" <th>f</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: 100.0%\">\n",
" 3771\n",
" </div>\n",
" \n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <th>t</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 0.0%\">\n",
" &nbsp;\n",
" </div>\n",
" 1\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=\"#freqtable2992130013901635719, #minifreqtable2992130013901635719\"\n",
" aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable2992130013901635719\">\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\">f</td>\n",
" <td class=\"number\">3771</td>\n",
" <td class=\"number\">100.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">t</td>\n",
" <td class=\"number\">1</td>\n",
" <td class=\"number\">0.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&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_lithium\">lithium<br/>\n",
" <small>Categorical</small>\n",
" </p>\n",
" </div><div class=\"col-md-3\">\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-md-6 collapse in\" id=\"minifreqtable3012040241558930029\">\n",
" <table class=\"mini freq\">\n",
" <tr class=\"\">\n",
" <th>f</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: 99.5%\">\n",
" 3754\n",
" </div>\n",
" \n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <th>t</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 0.5%\">\n",
" &nbsp;\n",
" </div>\n",
" 18\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=\"#freqtable3012040241558930029, #minifreqtable3012040241558930029\"\n",
" aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable3012040241558930029\">\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\">f</td>\n",
" <td class=\"number\">3754</td>\n",
" <td class=\"number\">99.5%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">t</td>\n",
" <td class=\"number\">18</td>\n",
" <td class=\"number\">0.5%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:1%\">&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_on_antithyroid_medication\">on_antithyroid_medication<br/>\n",
" <small>Categorical</small>\n",
" </p>\n",
" </div><div class=\"col-md-3\">\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-md-6 collapse in\" id=\"minifreqtable-5755773258797247816\">\n",
" <table class=\"mini freq\">\n",
" <tr class=\"\">\n",
" <th>f</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: 98.9%\">\n",
" 3729\n",
" </div>\n",
" \n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <th>t</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 1.1%\">\n",
" &nbsp;\n",
" </div>\n",
" 43\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-5755773258797247816, #minifreqtable-5755773258797247816\"\n",
" aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-5755773258797247816\">\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\">f</td>\n",
" <td class=\"number\">3729</td>\n",
" <td class=\"number\">98.9%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">t</td>\n",
" <td class=\"number\">43</td>\n",
" <td class=\"number\">1.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:2%\">&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_on_thyroxine\">on_thyroxine<br/>\n",
" <small>Categorical</small>\n",
" </p>\n",
" </div><div class=\"col-md-3\">\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-md-6 collapse in\" id=\"minifreqtable1976188413114223907\">\n",
" <table class=\"mini freq\">\n",
" <tr class=\"\">\n",
" <th>f</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: 87.7%\">\n",
" 3308\n",
" </div>\n",
" \n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <th>t</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:14%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 12.3%\">\n",
" &nbsp;\n",
" </div>\n",
" 464\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=\"#freqtable1976188413114223907, #minifreqtable1976188413114223907\"\n",
" aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable1976188413114223907\">\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\">f</td>\n",
" <td class=\"number\">3308</td>\n",
" <td class=\"number\">87.7%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">t</td>\n",
" <td class=\"number\">464</td>\n",
" <td class=\"number\">12.3%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:14%\">&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_pregnant\">pregnant<br/>\n",
" <small>Categorical</small>\n",
" </p>\n",
" </div><div class=\"col-md-3\">\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-md-6 collapse in\" id=\"minifreqtable-7028344582470841742\">\n",
" <table class=\"mini freq\">\n",
" <tr class=\"\">\n",
" <th>f</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: 98.6%\">\n",
" 3719\n",
" </div>\n",
" \n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <th>t</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 1.4%\">\n",
" &nbsp;\n",
" </div>\n",
" 53\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-7028344582470841742, #minifreqtable-7028344582470841742\"\n",
" aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-7028344582470841742\">\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\">f</td>\n",
" <td class=\"number\">3719</td>\n",
" <td class=\"number\">98.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">t</td>\n",
" <td class=\"number\">53</td>\n",
" <td class=\"number\">1.4%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:2%\">&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_psych\">psych<br/>\n",
" <small>Categorical</small>\n",
" </p>\n",
" </div><div class=\"col-md-3\">\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-md-6 collapse in\" id=\"minifreqtable-7322162087516799262\">\n",
" <table class=\"mini freq\">\n",
" <tr class=\"\">\n",
" <th>f</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: 95.1%\">\n",
" 3588\n",
" </div>\n",
" \n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <th>t</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:6%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 4.9%\">\n",
" &nbsp;\n",
" </div>\n",
" 184\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-7322162087516799262, #minifreqtable-7322162087516799262\"\n",
" aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-7322162087516799262\">\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\">f</td>\n",
" <td class=\"number\">3588</td>\n",
" <td class=\"number\">95.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">t</td>\n",
" <td class=\"number\">184</td>\n",
" <td class=\"number\">4.9%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:6%\">&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_query_hyperthyroid\">query_hyperthyroid<br/>\n",
" <small>Categorical</small>\n",
" </p>\n",
" </div><div class=\"col-md-3\">\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-md-6 collapse in\" id=\"minifreqtable3351141933185667959\">\n",
" <table class=\"mini freq\">\n",
" <tr class=\"\">\n",
" <th>f</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: 93.7%\">\n",
" 3535\n",
" </div>\n",
" \n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <th>t</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:7%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 6.3%\">\n",
" &nbsp;\n",
" </div>\n",
" 237\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=\"#freqtable3351141933185667959, #minifreqtable3351141933185667959\"\n",
" aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable3351141933185667959\">\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\">f</td>\n",
" <td class=\"number\">3535</td>\n",
" <td class=\"number\">93.7%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">t</td>\n",
" <td class=\"number\">237</td>\n",
" <td class=\"number\">6.3%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:7%\">&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_query_hypothyroid\">query_hypothyroid<br/>\n",
" <small>Categorical</small>\n",
" </p>\n",
" </div><div class=\"col-md-3\">\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-md-6 collapse in\" id=\"minifreqtable-1287270979366909223\">\n",
" <table class=\"mini freq\">\n",
" <tr class=\"\">\n",
" <th>f</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: 93.8%\">\n",
" 3538\n",
" </div>\n",
" \n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <th>t</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:7%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 6.2%\">\n",
" &nbsp;\n",
" </div>\n",
" 234\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-1287270979366909223, #minifreqtable-1287270979366909223\"\n",
" aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-1287270979366909223\">\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\">f</td>\n",
" <td class=\"number\">3538</td>\n",
" <td class=\"number\">93.8%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">t</td>\n",
" <td class=\"number\">234</td>\n",
" <td class=\"number\">6.2%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:7%\">&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_query_on_thyroxine\">query_on_thyroxine<br/>\n",
" <small>Categorical</small>\n",
" </p>\n",
" </div><div class=\"col-md-3\">\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-md-6 collapse in\" id=\"minifreqtable8161291957648895380\">\n",
" <table class=\"mini freq\">\n",
" <tr class=\"\">\n",
" <th>f</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: 98.7%\">\n",
" 3722\n",
" </div>\n",
" \n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <th>t</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 1.3%\">\n",
" &nbsp;\n",
" </div>\n",
" 50\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=\"#freqtable8161291957648895380, #minifreqtable8161291957648895380\"\n",
" aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable8161291957648895380\">\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\">f</td>\n",
" <td class=\"number\">3722</td>\n",
" <td class=\"number\">98.7%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">t</td>\n",
" <td class=\"number\">50</td>\n",
" <td class=\"number\">1.3%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:2%\">&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_sex\">sex<br/>\n",
" <small>Categorical</small>\n",
" </p>\n",
" </div><div class=\"col-md-3\">\n",
" <table class=\"stats \">\n",
" <tr class=\"\">\n",
" <th>Distinct count</th>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Unique (%)</th>\n",
" <td>0.1%</td>\n",
" </tr>\n",
" <tr class=\"alert\">\n",
" <th>Missing (%)</th>\n",
" <td>4.0%</td>\n",
" </tr>\n",
" <tr class=\"alert\">\n",
" <th>Missing (n)</th>\n",
" <td>150</td>\n",
" </tr>\n",
" </table>\n",
"</div>\n",
"<div class=\"col-md-6 collapse in\" id=\"minifreqtable-7536483695577253813\">\n",
" <table class=\"mini freq\">\n",
" <tr class=\"\">\n",
" <th>F</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: 65.7%\">\n",
" 2480\n",
" </div>\n",
" \n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <th>M</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:46%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 30.3%\">\n",
" 1142\n",
" </div>\n",
" \n",
" </td>\n",
"</tr><tr class=\"missing\">\n",
" <th>(Missing)</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:6%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 4.0%\">\n",
" &nbsp;\n",
" </div>\n",
" 150\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-7536483695577253813, #minifreqtable-7536483695577253813\"\n",
" aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-7536483695577253813\">\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\">F</td>\n",
" <td class=\"number\">2480</td>\n",
" <td class=\"number\">65.7%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">M</td>\n",
" <td class=\"number\">1142</td>\n",
" <td class=\"number\">30.3%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:46%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"missing\">\n",
" <td class=\"fillremaining\">(Missing)</td>\n",
" <td class=\"number\">150</td>\n",
" <td class=\"number\">4.0%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:6%\">&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_sick\">sick<br/>\n",
" <small>Categorical</small>\n",
" </p>\n",
" </div><div class=\"col-md-3\">\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-md-6 collapse in\" id=\"minifreqtable3316134938027473774\">\n",
" <table class=\"mini freq\">\n",
" <tr class=\"\">\n",
" <th>f</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: 96.1%\">\n",
" 3625\n",
" </div>\n",
" \n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <th>t</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:5%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 3.9%\">\n",
" &nbsp;\n",
" </div>\n",
" 147\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=\"#freqtable3316134938027473774, #minifreqtable3316134938027473774\"\n",
" aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable3316134938027473774\">\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\">f</td>\n",
" <td class=\"number\">3625</td>\n",
" <td class=\"number\">96.1%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">t</td>\n",
" <td class=\"number\">147</td>\n",
" <td class=\"number\">3.9%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:5%\">&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_thyroid_surgery\">thyroid_surgery<br/>\n",
" <small>Categorical</small>\n",
" </p>\n",
" </div><div class=\"col-md-3\">\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-md-6 collapse in\" id=\"minifreqtable-1484826805054666083\">\n",
" <table class=\"mini freq\">\n",
" <tr class=\"\">\n",
" <th>f</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: 98.6%\">\n",
" 3719\n",
" </div>\n",
" \n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <th>t</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 1.4%\">\n",
" &nbsp;\n",
" </div>\n",
" 53\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-1484826805054666083, #minifreqtable-1484826805054666083\"\n",
" aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-1484826805054666083\">\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\">f</td>\n",
" <td class=\"number\">3719</td>\n",
" <td class=\"number\">98.6%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">t</td>\n",
" <td class=\"number\">53</td>\n",
" <td class=\"number\">1.4%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:2%\">&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_tumor\">tumor<br/>\n",
" <small>Categorical</small>\n",
" </p>\n",
" </div><div class=\"col-md-3\">\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-md-6 collapse in\" id=\"minifreqtable-3232660115391541298\">\n",
" <table class=\"mini freq\">\n",
" <tr class=\"\">\n",
" <th>f</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: 97.5%\">\n",
" 3676\n",
" </div>\n",
" \n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <th>t</th>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
" data-delay=500 title=\"Percentage: 2.5%\">\n",
" &nbsp;\n",
" </div>\n",
" 96\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-3232660115391541298, #minifreqtable-3232660115391541298\"\n",
" aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
" Toggle details\n",
" </a>\n",
"</div>\n",
"<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-3232660115391541298\">\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\">f</td>\n",
" <td class=\"number\">3676</td>\n",
" <td class=\"number\">97.5%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
" </td>\n",
"</tr><tr class=\"\">\n",
" <td class=\"fillremaining\">t</td>\n",
" <td class=\"number\">96</td>\n",
" <td class=\"number\">2.5%</td>\n",
" <td>\n",
" <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
" </td>\n",
"</tr>\n",
"</table>\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,iVBORw0KGgoAAAANSUhEUgAAAksAAAIACAYAAACSIiitAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAIABJREFUeJzs3XlYlPX%2B//EXIDsqFqC5hSFouaIWtmiJmlmiHjPpaC6Z9isVtLRsOWlKi50vLSrZKeub39SKcik9WXnSjnk6JZpopmHiFi4J4sYq2/z%2B4Dg4giN6g/d4n%2BfjuriG%2BdzLvOdz6fDm9bmZcbPZbDYBAACgSu5mFwAAAODKaJYAAACcoFkCAABwgmYJAADACZolAAAAJ2iWAAAAnKBZAgAAcIJmCQAAwAmaJQAAACfqmF0A8N/iwIED6tmz53m3e3p6KiAgQKGhobrjjjv0wAMPKCAg4DJWCACoihsfdwJcHmc3SxEREZUaoeLiYh07dkwHDx6UJDVu3FgLFizQtddee9lrBQBUoFkCLpOzm6UPPvhAUVFRVe63YcMGjRs3Trm5uYqMjNTHH398OcsEAJyDa5YAFxMVFaXHH39ckpSamqpffvnF5IoA4L8bzRLggnr37m3/fuvWrSZWAgDgAm/ABdWtW9f%2BfV5ensO2jRs3auHChdq8ebNOnDihevXqqWPHjho%2BfLhuvvnmKs936tQpffzxx1q3bp3S09OVm5srX19fNW/eXD169NCIESNUv359h2NatWolSfr%2B%2B%2B81a9YsrVmzRu7u7mrTpo3%2B93//V3Xq1NHWrVu1YMEC7dixQ4cPH5a3t7datGihXr16aejQoVVeoF5YWKiPP/5Yq1atUnp6uoqLi9WwYUPdcsstGj16tEJDQx3237Bhg0aMGKEOHTpo8eLFWrhwoT777DPt379fnp6eatOmjYYPH65evXpdylQDwAXRLAEuaP/%2B/fbvGzVqZP8%2BMTFR8%2BfPlyTVr19fERERyszM1Jo1a7RmzRqNGTNGTzzxhMO59u3bp1GjRunw4cOqU6eOmjdvriZNmujgwYPavn27tm/fri%2B%2B%2BEJLly6Vv79/pVri4uKUmpqqiIgIHTt2TMHBwapTp45Wr16txx57TCUlJWrQoIFatmypvLw8/fzzz9q6datWrFihjz/%2B2KFh%2BuOPP/Tggw9qz549kqTQ0FD5%2B/tr9%2B7dSk5O1meffaZZs2bp7rvvrlRHcXGxxo4dqx9%2B%2BEENGjRQWFiY9u7dqx9//FE//vijnn/%2Bef35z382NvEAUBUbgMsiIyPDFhERYYuIiLD9%2BOOPTvd98sknbREREbY2bdrYsrKybDabzfbRRx/ZIiIibF26dLF9/vnn9n3LyspsX3zxha1jx462iIgI2yeffOJwrgceeMAWERFhGzJkiO3IkSMOxy1fvtzWunVrW0REhG3RokUOx52ptW3btraUlBSbzWazlZaW2o4fP24rLS213XrrrbaIiAjb/PnzbSUlJfbjfvnlF1vXrl1tERERtrfffts%2BXlJSYhswYIAtIiLC1qdPH9uvv/5q35aTk2N79tln7c95y5Yt9m0//vijvZaOHTvaVqxYYd926tQp28iRI20RERG2m266yVZcXOx0XgHgUnDNEuAiCgsLtWPHDk2fPl2fffaZJGnUqFEKCgpSUVGR5s6dK0l66aWX1L9/f/txbm5uuvvuu%2B2J0ty5c1VSUiJJys7O1q5duyRJCQkJCgkJcThu4MCBuummmyRJO3furLKuvn376sYbb5Qkubu7KzAwUMeOHVNWVpYkaciQIfLw8LDv36ZNGz322GPq1auXAgMD7eNfffWVfv31V3l7e2v%2B/Plq3bq1fVtAQIBeeOEFdevWTcXFxXr99derrCU%2BPl4xMTH2%2B3Xr1rU/7xMnTmjv3r3nmV0AuHQswwEmGDFixAX3ue%2B%2B%2BzRx4kRJ5X8Vd/ToUfn7%2B5/3jS379%2B%2BvhIQEHTlyRDt27FD79u119dVX68cff1RhYaF8fHwqHVNaWmpfJissLKzyvJ07d6401qBBA9WvX18nT57UlClT9Oijj6pDhw5ydy///WvIkCEaMmSIwzFr166VJEVHR6tZs2ZVPtaDDz6o9evXKyUlRTk5OQ7XbklSjx49Kh0TFhZm//7UqVNVnhcAjKBZAkxw7ptSurm5ydvbW4GBgWrVqpV69eqlli1b2refSYeKi4s1bNiw857Xw8NDZWVl2rNnj9q3b28f9/Hx0eHDh7V161b9/vvvysjI0O7du/Xrr78qPz9fklRWVlblOYODg6t8nClTpui5557TunXrtG7dOtWvX19RUVG69dZbdccddzhcayXJnvq0adPmvPWf2VZaWqr9%2B/erbdu2DtsbNmxY6Zizm8DS0tLznhsALhXNEmCCv/zlL%2Bd9U8qq5OTkSJKKioq0efPmC%2B5/dsKyZ88e/fWvf9W6descGqKAgAB16dJFmZmZSktLO%2B%2B5qkqkpPL06Nprr9X777%2Bvf//73zp58qRWr16t1atXy83NTXfccYeef/55e9OUm5srSZXSorOd3UCe%2B1eAUvlHwjhj4z12AdQCmiXgCuDr6yupPHlZtmxZtY/Lzs7WAw88oOzsbDVu3FhDhgzRDTfcoOuuu05NmzaVm5ubJk%2Be7LRZciYqKkpRUVEqLCzUpk2btHHjRq1fv17bt2/Xt99%2Bq8OHD%2Buzzz6Tm5ub/S/tzjR%2BVTm7yavqL/MAwAw0S8AVoEWLFpLK3wagpKREdepU/q9rs9m0YcMGNWrUSI0bN5aXl5eWLl2q7OxsBQYGaunSpbrqqqsqHXfkyJGLrqeoqEgZGRnKzc1Vhw4d5OPjo9tuu0233XabHnvsMX3xxRd6/PHHlZaWpp07d6p169a67rrrtGPHDm3fvv285922bZuk8mXJ5s2bX3RdAFAb%2BGs44Apw4403qm7dusrLyztvsrRy5UqNHDlSffv21R9//CGp/PPopPIP5a2qUUpPT9eWLVskXdz1Pt99953uvvtuPfzwwyoqKqq0/ZZbbrF/f%2Ba8Zy7OXrt2rTIyMqo87wcffCBJ6tixo%2BrVq1ftegCgNtEsAVcAPz8/Pfzww5KkF198UUuXLnW4/uibb77R9OnTJZX/qf%2BZVOa6666TJKWlpenrr7%2B272%2Bz2fTdd99pzJgxKi4uliQVFBRUu57u3burQYMGOnHihKZOnaoTJ07Yt%2BXl5emVV16RJF1zzTUKDw%2BXJN11111q1aqVTp8%2BrbFjxzos/eXm5uq5557Tv/71L9WpU0dTpkyp/uQAQC1jGQ64QowdO1YZGRn65JNP9Mwzz%2Bh//ud/1LRpUx05ckSZmZmSpE6dOumFF16wHzN48GB9%2BOGH2r9/v%2BLj49WkSRM1aNBAhw8fVnZ2tjw9PXXTTTcpJSXlopbjvLy8NHv2bD300ENatWqV1qxZo%2BbNm8vd3V0ZGRnKz8%2BXr6%2BvZs2aJS8vL0lSnTp1NG/ePI0dO1Z79uzRgAEDHN7B%2B8zbG8yYMUNdunSp2ckDAANoloArhJubmxISEtSnTx99/PHH2rJli/1NHjt27Kh%2B/fopNjbW3pxI5X9dtmTJEs2fP1/ffvutDhw4oKNHj6pRo0a64447NHLkSPn5%2BalXr15KS0vToUOH1Lhx42rVExUVpU8//VTvv/%2B%2BfvrpJ%2B3bt0916tRRo0aNdNttt2n06NGVztW0aVMtXbpUH330kb766ivt3r1bf/zxh6655hp169ZNw4YNq/TZcABgNjcbf2sLAABwXlyzBAAA4ATNEgAAgBM0SwAAAE7QLAEAANMcO3ZMvXv31oYNG867z7p16xQTE6OOHTuqb9%2B%2B%2Bvbbbx22z58/X927d1fHjh01fPhw7dmzp0ZrpFkCAACm%2BOmnnxQbG6vff//9vPvs27dPcXFxmjhxojZt2qS4uDhNmjTJ/nYny5cv18KFC/Xee%2B9pw4YNatOmjeLj42v0syJplgAAwGW3fPlyTZkyRY899tgF9%2BvSpYt69eqlOnXq6O6779aNN96o5ORkSdInn3yioUOHKjw8XN7e3po8ebIOHTrkNKm6WDRLAADgomVmZmr79u0OX2feILc6brvtNv3jH//Q3Xff7XS/9PR0RUREOIy1bNnS/ikA52739PRUaGjoJX9AeFWs96aUbm5mV1ChRQtp1y4pPFzau9fUUk6ecJ2303Jzk%2BrWlXJyJFd4l6%2Bffza7ggo%2BPlKXLtKmTVJhodnVlNfiCtzcJG9v6fRp1/g3s3u32RVU8PSUIiKk336T/vPJNaZqe22O2SVUcHOT/P2lvDzX%2BIdTt655j10LPxuT58xRUlKSw9iECRMUFxdXreODg4OrtV9eXp58fX0dxnx8fJSfn1%2Bt7TXBes2SKwkMlDw8ym9h5%2BZW8eUKr1%2BuxMOjfF48PMyuxPW40u9BruTsfzOu0Cy5FF5salVsbKyio6MdxqrbAF0MX19fFZ7z22NhYaH8/f2rtb0m0CwBAGB17jV/1U1ISIhCQkJq/LznioiI0Pbt2x3G0tPT1bZtW0lSeHi4du3apR49ekiSiouLtW/fvkpLd0ZwzRIAAHBZ/fv3V0pKilatWqWSkhKtWrVKKSkpGjBggCTp3nvv1aJFi5SWlqbTp0/r1VdfVVBQUI1%2BIDfJEgAAVlcLyVJtioyM1IwZM9S/f3%2BFhYXpzTffVGJiop599lk1adJEc%2BfOVYsWLSRJgwcPVk5OjsaPH69jx46pXbt2evvtt%2BXp6Vlj9dAsAQAAU%2B3cudPhfmpqqsP9bt26qVu3blUe6%2BbmptGjR2v06NG1Vh/NEgAAVneFJUuuhmYJAACro1kyhNkDAABwgmQJAACrI1kyhNkDAABwgmQJAACrI1kyhGYJAACro1kyhNkDAABwgmQJAACrI1kyhNkDAABwgmQJAACrI1kyhGYJAACro1kyhNkDAABwgmQJAACrI1kyhNkDAABwgmQJAACrI1kyhGYJAACro1kyhNkDAABwgmQJAACrI1kyhGYJAACro1kyhNkDAABwgmQJAACrI1kyhNkDAABwgmQJAACrI1kyhGYJAACro1kyhNkDAABwgmQJAACrI1kyxHCztHbtWr3zzjvav3%2B/8vPz1a5dO73wwgsKDQ3VF198oTlz5ig7O1sdOnRQ48aNVVxcrFmzZslms2nhwoVavHixsrOzFRERoWeeeUZt27atiecFAABQIww1S3/88YcmTpyo2bNnKzo6WsePH9eECRP05ptvaujQoZo6darmzJmj7t2769tvv9WkSZMUExMjSfrwww/1/vvv66233lJYWJg%2B//xzPfjgg/ryyy8VFBRUrcfPzMxUVlaWw1hwixYKCQw08rRqTuvWjrcmcqVfKs7U4io1%2BfubXUEFX1/HW7O5uZldQbkzdbhKPT4%2BZldQwdvb8dZ0rvIfW3K9FxszMQeGuNlsNtulHlxUVKQ//vhDzZs3V25urjIyMvTmm2/q1KlTat68ufLz8/Xaa6/Z9584caJ8fX01a9Ys3X333RoxYoTuv/9%2B%2B/b7779fd955p0aPHl2tx587d66SkpIcxiaMG6e4iRMv9SkBAGA9bdrU/Dm3b6/5c7ooQ8mSp6en/v73v%2Bvjjz%2BWm5ubIiIilJubqzp16ujw4cO64YYbHPZv1qyZjh49Kkk6ePCgXnnlFSUmJtq3l5SUXNQyXGxsrKKjox3GgmNipP/7PwPPqga1bi19%2BKE0dKiUlmZqKTnrNpv6%2BGdzdy9Pc/LypLIys6uRdu0yu4IKvr7S9ddLv/4qFRSYXY10zn9h07i5lScnp09Ll/7rXc05cMDsCip4e0vNmkkZGeXzY7aW1%2BSZXUIFd/fy/1QFBa7xYuNKMTYuiqFm6csvv9SiRYv00Ucf6dprr5UkJSQk6LffflOTJk106NAhh/0PHTokLy8vSVKjRo0UHx%2Bve%2B65x779999/V%2BBFLKGFhIQoJCTEcXDv3kt8NrUoLU1KTTW1BFd4nThXWZlr1JXnQq/tZxQUuEZdrtCYnM1mc42aCgvNrqCy06ddpC5X%2BE99Lld5sTETy3CGGJq9nJwcubu7y8fHRzabTd99950%2B%2B%2BwzFRcX67777tM//vEPrV%2B/XqWlpVq3bp1Wr15tP3bIkCF66623tHv3bknS%2BvXrdc8992jjxo3GnhEAAEANMpQs/elPf9JPP/2ke%2B65Rx4eHrruuus0cuRILV68WK1atdKMGTP0/PPP6/jx4%2BrSpYtuvvlmeXp6SpJGjRolm82mcePGKTMzUw0bNtS0adPUs2fPGnliAADgP0iWDDHULHl5eemvf/1rpfH4%2BHjt3btX7du315o1a%2BzjcXFxuuqqqyRJHh4eGjNmjMaMGWOkBAAAcCE0S4bU2uylp6dr5MiR%2Bv333yVJGzZs0Pr163X77bfX1kMCAADUuFp7B%2B/evXsrPT1dI0aM0MmTJ9WkSRMlJCSoU6dOtfWQAACgKiRLhtTqx508%2BuijevTRR2vzIQAAAGoVnw0HAIDVkSwZQrMEAIDV0SwZwuwBAAA4QbIEAIDVkSwZwuwBAAA4QbIEAIDVuWCylJ2dreeee04pKSny8PBQ//79NXXqVNWp49iajBkzRj/99JPDWH5%2BvmJjYzVz5kwdPXpUt956q/z8/OzbGzRooLVr19ZYrTRLAABYnQs2S5MmTVLDhg21fv16HT16VI8%2B%2BqgWLFhQ6ZM93n33XYf7S5YsUVJSkiZMmCBJ2rZtm5o0aVKjzdG5XG/2AACApe3fv18pKSl64okn5Ovrq2bNmmncuHFavHix0%2BP27NmjhIQEJSYmKiQkRFJ5s9S2bdtarZdkCQAAq6uFZCkzM1NZWVkOY8HBwfYmxpldu3YpMDBQDRs2tI%2BFhYXp0KFDOnXqlOrVq1flcTNmzNDAgQPVpUsX%2B9i2bdt08uRJ9evXT0ePHlW7du00depUtWzZ8hKfWWUkSwAA4KIlJydr0KBBDl/JycnVOjYvL0%2B%2Bvr4OY2fu5%2BfnV3nMpk2btHXrVvvy2xn16tVT586d9cEHH%2Bibb75RaGioHnzwQeXk5FzCs6oayRIAAFZXC8lSbGysoqOjHcaCg4Ordayfn58KCgocxs7c9/f3r/KY5ORk9e3bt9JjvPrqqw73n376aS1dulSbNm1Sjx49qlXPhdAsAQBgdbXQLIWEhFRrya0q4eHhOnHihI4ePaqgoCBJ0u7du9WoUSPVrVu30v4lJSVas2aN3nzzTYfx3Nxcvfnmm3rggQfUpEkTSVJpaalKSkrk4%2BNzSbVVhWU4AABwWYWGhqpz58566aWXlJubq4yMDM2bN0%2BDBw%2Bucv%2BdO3fq9OnT6tSpk8N4QECA/v3vf%2BuVV15RTk6O8vLylJCQoKZNmzpc12QUzRIAAFbn7l7zXwbNmTNHJSUl6tmzp4YMGaJu3bpp3LhxkqTIyEitWLHCvm9GRobq168vb2/vSueZN2%2BeysrK1KtXL3Xr1k1ZWVmaP3%2B%2BPD09Ddd4BstwAADgsgsKCtKcOXOq3Jaamupw/6677tJdd91V5b5NmjRRUlJSjdd3NpolAACszgXflPJKQrMEAIDV0SwZwuwBAAA4QbIEAIDVkSwZwuwBAAA4QbIEAIDVkSwZQrMEAIDV0SwZwuwBAAA4QbIEAIDVkSwZQrMEAIDV0SwZwuwBAAA4QbIEAIDVkSwZYrlm6eQJm9kl2Lm7S3Ul5azbrLIyc2upH%2BhmbgFni4yUNm9W3ds7Sed8WKIZgna4zr8ZH5/y2wYNJF9fc2uRpH/9y%2BwKytWtK3XtKm3ZIuXkmF2N1LtTttklVPDwkBSolkEnpNJSs6vRyn9ebXYJdvXrS927S9/95K%2BTJ82uRoqJMbsCXCrLNUsAAOAcJEuG0CwBAGB1NEuGMHsAAABOkCwBAGB1JEuGMHsAAABOkCwBAGB1JEuG0CwBAGB1NEuGMHsAAABOkCwBAGB1JEuGMHsAAABOkCwBAGB1JEuG0CwBAGB1NEuGMHsAAABOkCwBAGB1JEuGMHsAAABOkCwBAGB1JEuG0CwBAGB1NEuGMHsAAABOkCwBAGB1JEuGMHsAAABOkCwBAGB1JEuG0CwBAGB1NEuGMHsAAABOkCwBAGB1JEuGMHsAAABOkCwBAGB1JEuG0CwBAGB1NEuGMHsAAABOkCwBAGB1JEuGMHsAAABOVDtZmjZtmlauXClJKikpUXFxsXx9fe3b58%2Bfr5MnT2r%2B/Pn67bffJEmhoaEaPny4/vSnP0mSDhw4oJ49e2rNmjVq2rSpw/mfeuopSdKsWbOMPSMAAODIBZOl7OxsPffcc0pJSZGHh4f69%2B%2BvqVOnqk6dyq3JmDFjtGHDBodts2fPVvfu3VVaWqrExER9/vnnKigoUNeuXTVjxgyFhITUWK3Vnr2ZM2cqNTVVqampmjFjhho3bmy/n5qaKkmaMmWKHn30UW3cuFEbN27UxIkTlZCQoM8//7zGCgYAABfJ3b3mvwyaNGmS/Pz8tH79ei1ZskQ//PCDFixYUOW%2Bv/zyi9577z2HvqN79%2B6SpLfeekvff/%2B9li5dqvXr18vHx0d/%2BctfDNd3thprNVNTU9WoUSN1795dHh4e8vDw0O23367JkyeruLi4ph4GAABc4fbv36%2BUlBQ98cQT8vX1VbNmzTRu3DgtXry40r4ZGRk6efKkbrjhhirP9emnn2rs2LG65pprFBAQoGeffVbfffedMjIyaqzeGrvAu0ePHpo3b57%2B/Oc/684771SHDh3Utm1bDRs2rNK%2B/fv3l/s5XWlhYaH69et3UY%2BZmZmprKwshzFf32AFB9dc9GbEmafoEulnZKTZFVRo3drx1mQ%2BPmZXUMHLy/HWbHXrml1BOT8/x1vTeXiYXUGFM7W4SE3165tdQYWAAMfb/2q18IOoqp/BwcHB1Vr%2B2rVrlwIDA9WwYUP7WFhYmA4dOqRTp06pXr169vFt27bJ399fjz32mLZt26agoCCNGjVKgwcPVk5Ojv744w9FRETY9w8KClL9%2BvW1c%2BdONWvWrAaeaQ02Sy1bttSKFSu0ePFiLVu2TH/961/l6emp3r176%2Bmnn1ZwcLB93xUrVpz3mqWLkZycrKSkJIex8eMnKD4%2B7tKeRC3x9ze7AkmbN5tdQWUffmh2BZKkFmYXUIUmTcyuoFwLF5uc9u3NruCMQLMLqMxFOtv/rIy4lE6dzK7Amqr6GTxhwgTFxV34Z3BeXp7Ddc%2BS7Pfz8/MdmqWioiJ17NhRjz32mMLDw7VhwwbFxcXJ399fkf8JAvzO%2BU3Kx8dHeXl5l/S8qlKjbx3QrFkze9OTk5OjlJQUvf7665o4caI%2BrIUfjLGxsYqOjnYY8/UNVk5OjT/UJXF3L2%2BU8vKksjJza6l7uwu9WrRuXd4oDR0qpaWZXY32LnWdRtLLq7xROnhQKioyuxrpyBGzKyjn51feKP38s5Sfb3Y1UtfWJ8wuoYKHR3mjlJMjlZaaXY2%2B%2B9l1GsmAgPJGafNmKTfX7GpMbiRrIVmq6mfw2cGIM35%2BfiooKHAYO3Pf/5yEYeDAgRo4cKD9/m233aaBAwfqyy%2B/1C233OJw7BmFhYWVzmNEjTVLw4YNU/v27TV16lRJUt26ddWzZ0%2B5ublp8uTJNfUwDkJCQirFfSdPmt%2BYnKuszAVq%2Bs9F%2BC4lLc0l6iosNLuCyoqKXKMuV/nF44z8fBepyQWakkpKS12irpMnza6gstxc16zrsqqFZqmqn8HVFR4erhMnTujo0aMKCgqSJO3evVuNGjVS3XNS0iVLlsjf3199%2B/a1jxUVFcnb21v169dXw4YNlZ6ebl%2BKy8rK0okTJxyW5oyqsdnr37%2B/Pv74Y33%2B%2Bec6duyYysrKtHfvXi1cuFB33nlnTT0MAAC4woWGhqpz58566aWXlJubq4yMDM2bN0%2BDBw%2ButG9ubq4SEhK0Y8cOlZWV6Z///Kf%2B/ve/KzY2VpI0aNAgvfXWW8rIyFBubq5eeukl3XTTTWrevHmN1VtjyVJsbKwCAgK0aNEizZw5UyUlJWrYsKH69eunRx55pKYeBgAAXCyX%2BEsjR3PmzNHMmTPVs2dPubu7a%2BDAgRo3bpwkKTIyUjNmzFD//v01cuRI5efna8KECcrOzlazZs30yiuvqEuXLpKk8ePHq6SkRMOGDVNeXp6ioqL0xhtv1GitbjabzVajZzSZK0Wt7u4VlxKYvQxXP9DN3ALOFhlZfhFBp04usQz36w7X%2BS/g41N%2BUfXeva6xDHfggNkVlKtbV%2BraVfrxR9dYhuvdKdvsEip4eEiBgdKJEy6xDLfy31ebXYJd/frl1wl9951r/GyIiTHxwV98sebP%2BeyzNX9OF8VnwwEAYHUumCxdSWiWAACwOpolQ5g9AAAAJ0iWAACwOpIlQ2iWAACwOpolQ5g9AAAAJ0iWAACwOpIlQ5g9AAAAJ0iWAACwOpIlQ2iWAACwOpolQ5g9AAAAJ0iWAACwOpIlQ5g9AAAAJ0iWAACwOpIlQ2iWAACwOpolQ5g9AAAAJ0iWAACwOpIlQ5g9AAAAJ0iWAACwOpIlQ2iWAACwOpolQ5g9AAAAJ0iWAACwOpIlQ5g9AAAAJ0iWAACwOpIlQ2iWAACwOpolQ5g9AAAAJ0iWAACwOpIlQ5g9AAAAJ0iWAACwOpIlQyzXLP38s9kVVPD3lzp1knbtkvLyzK0laIfN3ALO4uMjtZC0d%2BlmFRaaXY10/Q1uZpdQITJS2rxZLe7tJKWmml2Nrp80yewSyjVtKnWdrK7fvyodOGB2NdKWxmZXUCEkRBo5Uvr8cykz0%2BxqFNO0qdklVPBsIOkudc//Sso9bnY1kv5s3kPTLBnC7AEAADhhuWQJAACcg2TJEGYPAADACZIlAACsjmTJEJolAACsjmbJEGYPAADACZIlAACsjmTJEGYPAADACZIlAACsjmTJEJolAACsjmbJEGYPAADACZIlAACsjmTJEGYPAADACZIlAACszgWTpezsbD333HNKSUmRh4eH%2Bvfvr6lTp6pOncqtyUcffaQFCxYoMzNTISEhGjFihIYNGyZJKisrU%2BfOnWWz2eTm5mY/5vvvv5efn1%2BN1EqzBACA1blgszRp0iQ1bNhQ69ev19GjR/Xoo49qwYIFGjNmjMN%2B33zzjV577TXNnz9fHTp00JY/iTNtAAAgAElEQVQtW/Twww8rKChIffr0UXp6uoqLi7V582Z5eXnVSq2uN3sAAMDS9u/fr5SUFD3xxBPy9fVVs2bNNG7cOC1evLjSvkeOHNHYsWPVsWNHubm5KTIyUlFRUdq4caMkadu2bWrVqlWtNUoSyRIAANZXC8lSZmamsrKyHMaCg4MVEhJywWN37dqlwMBANWzY0D4WFhamQ4cO6dSpU6pXr559/Mxy2xnZ2dnauHGjnn76aUnlzdLp06d177336uDBgwoLC9PkyZPVqVMnI0/PAc0SAABWVwvNUnJyspKSkhzGJkyYoLi4uAsem5eXJ19fX4exM/fz8/MdmqWzZWVl6f/9v/%2Bntm3bql%2B/fpIkHx8ftW/fXhMnTlT9%2BvW1ePFiPfTQQ1qxYoWaNWt2KU%2BtEpolAABw0WJjYxUdHe0wFhwcXK1j/fz8VFBQ4DB25r6/v3%2BVx2zZskUTJ05Uly5d9PLLL9svBH/qqacc9nvooYe0bNkyrVu3Tg888EC16rkQmiUAAKyuFpKlkJCQai25VSU8PFwnTpzQ0aNHFRQUJEnavXu3GjVqpLp161baf8mSJXrhhRcUHx%2Bv0aNHO2x7/fXX1adPH91www32saKiInl7e19SbVXhAm8AAHBZhYaGqnPnznrppZeUm5urjIwMzZs3T4MHD66079dff63nn39ec%2BfOrdQoSdJvv/2mF198UVlZWSoqKlJSUpJyc3PVu3fvGquXZgkAAKtzd6/5L4PmzJmjkpIS9ezZU0OGDFG3bt00btw4SVJkZKRWrFghSUpKSlJpaani4%2BMVGRlp/5o2bZok6eWXX1bz5s01YMAARUVFKSUlRe%2B//74CAwMN13gGy3AAAFidC77PUlBQkObMmVPlttTUVPv3K1eudHqewMBAvfzyyzVa27lcb/YAAABcCMkSAABW54LJ0pWE2QMAAHCCZAkAAKsjWTKEZgkAAKujWTKE2QMAAHCCZAkAAKsjWTKk1pqladOm2d8boaSkRMXFxQ4fmjd//nx9%2BeWX%2Buqrr5Sfn6/w8HA99thjuvnmm2urJAAAgItWa63mzJkzlZqaqtTUVM2YMUONGze2309NTdU333yjrVu36rPPPtNPP/2kAQMGaNy4ccrLy6utkgAA%2BO/kgu/gfSUxbRnuiSeeUFFRkXx9fZWfn68TJ06obt268vT0NKskAACs6b%2BsualppjVLHh4e8vX1VXJysqZPn646deooMTFRXl5eZpUEAABQiekXeA8cOFCDBg3S6tWrNWXKFAUHB6tz587VOjYzM1NZWVkOYwUFwQoKCqmNUi/amUu0zrpUyzQ%2BPmZXUOFMP%2BwyfXFkpNkVVGjd2vHWbE2bml1BuZAQx1uzBQWZXUGFq65yvDVbgwZmV1ChXj3H2/9mJEuGmN4seXt7S5LuueceffbZZ/ryyy%2Br3SwlJycrKSnJYWz8%2BAmKj4%2Br8TqNuP56sytwTU2amF3Bf2zebHYFlX34odkVuKbhw82uwHXFxJhdgeu65RazK8AVzrRmadKkSerYsaNGjRplHysqKlJgYGC1zxEbG6vo6GiHsYMHg13mZ5%2Bvb3mj9OuvUkGBubW40i97Xl7ljdLBg1JRkdnVSC3u7WR2CRVaty5vlIYOldLSzK5GGjbM7ArKhYSUN0oLF0qZmWZX43rJUkyMtHKldOyY2dVIDRuaXUGFevXKG6V//1s6dcrsaqS77jLvsUmWDDGtWYqMjNQ777yjm2%2B%2BWWFhYVq%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%2B65bt04xMTHq2LGj%2Bvbtq2%2B//dZh%2B/z589W9e3d17NhRw4cP1549e2q0VpolAACszt295r8MmjRpkvz8/LR%2B/XotWbJEP/zwgxYsWFBpv3379ikuLk4TJ07Upk2bFBcXp0mTJunIkSOSpOXLl2vhwoV67733tGHDBrVp00bx8fGy2WyGazyDZgkAAFxW%2B/fvV0pKip544gn5%2BvqqWbNmGjdunBYvXlxp3%2BXLl6tLly7q1auX6tSpo7vvvls33nijkpOTJUmffPKJhg4dqvDwcHl7e2vy5Mk6dOiQNmzYUGP1cs0SAABWVwvXLGVmZiorK8thLDg4WCEhIRc8dteuXQoMDFTDhg3tY2FhYTp06JBOnTqlevXq2cfT09MVERHhcHzLli2VlpZm3z527Fj7Nk9PT4WGhiotLU1du3a9pOd2Lss1S126mF1BBTe38tsbbpBqMA28JP/6l7mPf7a6daUWLaQjR6ScHLOrka6fNMnsEio0bVp%2BO2yYdPvt5tYiSW%2B8YXYF5SIjpcmTpcWLpdRUs6txnXmRJE/PilsvL3NrkaTXXjO7ggqtWkl33SUtWiTt3Gl2NdKf/2zaQ9vkVuPnTE5OVlJSksPYhAkTFBcXd8Fj8/Ly5Ovr6zB25n5%2Bfr5Ds1TVvj4%2BPsrPz6/W9ppguWYJAADUvtjYWEVHRzuMBQcHV%2BtYPz8/FRQUOIydue/v7%2B8w7uvrq8LCQoexwsJC%2B34X2l4TaJYAALC4srKaP2dISEi1ltyqEh4erhMnTujo0aMKCgqSJO3evVuNGjVS3bp1HfaNiIjQ9u3bHcbS09PVtm1b%2B7l27dqlHj16SJKKi4u1b9%2B%2BSkt3RnCBNwAAuKxCQ0PVuXNnvfTSS8rNzVVGRobmzZunwYMHV9q3f//%2BSklJ0apVq1RSUqJVq1YpJSVFAwYMkCTde%2B%2B9WrRokdLS0nT69Gm9%2BuqrCgoKUpcavC6HZgkAAIsrK6v5L6PmzJmjkpIS9ezZU0OGDFG3bt00btw4SVJkZKRWrFghqfzC7zfffFNvv/22brzxRs2bN09z585VixYtJEmDBw/WqFGjNH78eHXt2lU7duzQ22%2B/Lc8z1/PVAJbhAACwuNpYhjMqKChIc%2BbMqXJb6jl/yNGtWzd169atyn3d3Nw0evRojR49usZrPINkCQAAwAmSJQAALM4Vk6UrCckSAACAEyRLAABYHMmSMTRLAABYHM2SMSzDAQAAOEGyBACAxZEsGUOyBAAA4ATJEgAAFkeyZAzNEgAAFkezZAzLcAAAAE6QLAEAYHEkS8aQLAEAADhBsgQAgMWRLBlDswQAgMXRLBnDMhwAAIATJEsAAFgcyZIxJEsAAABOkCwBAGBxJEvG0CwBAGBxNEvGsAwHAADgBMkSAAAWR7JkDMkSAACAEyRLAABYHMmSMTRLAABYHM2SMZfcLE2bNk0rV66UJJWUlKi4uFi%2Bvr6SpIKCArm5ucnHx8d%2B39PTU3XqlD9c586d9e6779rPVVpaqlGjRqlJkyaaNWvWJT8ZAACAmnbJzdLMmTM1c%2BZMSdKyZcuUlJSktWvXVrlvdHS0JkyYoEGDBlW5PSkpSZs2bVKTJk0utRwAAHAeJEvGmH6B9w8//KDVq1frzjvvNLsUAACASky9Zik7O1vPPvus5s2bpwULFlz08ZmZmcrKynIYq1cvWMHBITVUoTFubo63Zqpb1%2BwKKvj5Od6armlTsyuoEBLieGu2yEizKyjXurXjrdmCg82uoEKDBo63ZmvVyuwKKoSGOt7%2BFyNZMsa0ZqmsrExPPPGEHnzwQbW%2BxBfA5ORkJSUlOYyNHz9B8fFxNVFijfH2NrsCqWtXsyuorH17syv4j66Tza6gsuHDza6g3GQXm5sPPzS7AtfVt6/ZFZQbOtTsCip74QWzKzAdzZIxpjVLb7/9try8vDTcwA%2BF2NhYRUdHO4zVqxeswkKj1dUMN7fyRun0aclmM7eWLVvMffyz%2BfmVN0o//yzl55tdjdT1%2B1fNLqFCSEh5o7RwoZSZaXY10uLFZldQrnXr8kZp6FApLc3saqQpU8yuoEKDBuWN0pdfSsePm12NtGqV2RVUCA0tb5T%2B8hdp3z6zq5EWLTK7Alwi05qlzz//XJmZmerSpYskqfA/Hc4333yjTZs2VescISEhCjlnuaKgwPzG5Fw2m/k15eSY%2B/hVyc93kboOHDC7gsoyM12jrtRUsytwlJbmGjWds/zvEo4fd426du40u4LK9u1zzbouI5IlY0xrlr766iuH%2B0899ZQk8dYBAADUMJolY0z/azgAAABXViPJ0qBBg877HkqSzvv%2BS2cjUQIAoHaQLBlDsgQAAOAEnw0HAIDFkSwZQ7MEAIDF0SwZwzIcAACAEyRLAABYHMmSMSRLAAAATpAsAQBgcSRLxtAsAQBgcTRLxtAsAQAAl5Kfn6%2BEhAStXbtWJSUl6tmzp6ZPny5/f/8q9//66681b948ZWRkKDAwUIMGDdK4cePk7l5%2BtVHfvn116NAh%2B31JWrJkicLCwqpVD80SAAAWd6UlSwkJCTp8%2BLC%2B/vprlZaWatKkSUpMTNT06dMr7fvLL7/oySef1BtvvKHbb79de/fu1dixY%2BXn56fRo0crNzdXe/fu1Zo1a9SkSZNLqocLvAEAgMsoKCjQypUrFR8fr8DAQF199dWaMmWKli1bpoKCgkr7Hzx4UPfff7969Oghd3d3hYWFqXfv3tq4caOk8mYqMDDwkhsliWQJAADLq41kKTMzU1lZWQ5jwcHBCgkJueCxhYWFOnLkSJXbCgoKVFxcrIiICPtYWFiYCgsLtW/fPl1//fUO%2B/fp00d9%2BvRxOPc///lPxcTESJK2bdsmX19fPfDAA9q1a5eaNGmiuLg49ejRo9rPlWYJAACLq41mKTk5WUlJSQ5jEyZMUFxc3AWP3bp1q0aMGFHltokTJ0qS/Pz87GO%2Bvr6SpLy8PKfnzc3N1cSJE%2BXj46NRo0ZJktzc3NSuXTs9/vjjaty4sb766ivFxcVp0aJF6tix4wVrlWiWAADAJYiNjVV0dLTDWHBwcLWOjYqK0s6dO6vctmPHDs2ePVsFBQX2C7rPLL8FBASc95x79uxRfHy8rr76an3wwQf2fceMGeOwX//%2B/fX3v/9dX3/9Nc0SAAAoVxvJUkhISLWW3C5WixYt5OnpqfT0dHXo0EGStHv3bnl6eio0NLTKY9atW6fHH39cQ4YM0eTJk1WnTkV789577%2BmGG27QzTffbB8rKiqSt7d3tWviAm8AAOAyfH191bdvXyUmJurYsWM6duyYEhMT1a9fP/n4%2BFTaf8uWLRo/fryefvppTZ061aFRkqTDhw9rxowZysjIUElJiZYsWaLU1FT96U9/qnZNJEsAAFjclfbWAdOnT9crr7yimJgYFRcXq2fPnnruuefs2%2B%2B55x7FxMTokUce0d/%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%2Bz7fv/997r%2B%2But14MAB%2B9jw4cM1d%2B7cSufdsGGDWrVqdYlPAwAAnE9ZWc1/1ab8/Hw9/fTTioqKUufOnfXkk08qLy/vvPtPnz5dbdu2dehHkpOT7dvnz5%2Bv7t27q2PHjho%2BfLj27NlzUfVcdLM0c%2BZMpaamKjU1VTNmzFDjxo3t91NTU9WlSxdJUlZWlqZOnaoy2lkAAHAREhISdPjwYX399ddavXq1Dh8%2BrMTExPPuv23bNiUkJDj0I7GxsZKk5cuXa%2BHChXrvvfe0YcMGtWnTRvHx8bLZbNWup1auWSorK9OUKVN033331cbpAQDARbiSkqWCggKtXLlS8fHxCgwM1NVXX60pU6Zo2bJlKigoqLR/UVGRfvvtN7Vt27bK833yyScaOnSowsPD5e3trcmTJ%2BvQoUPasGFDtWuqlWZp3rx5uvrqq3XvvffWxukBAMAVrLCwUPv37z/vV3FxsSIiIuz7h4WFqbCwUPv27at0rrS0NJWUlGjOnDm65ZZb1KdPH73zzjv2la309HSHc3l6eio0NFRpaWnVrrfGL/BOSUnRihUrtGzZMp04caKmT%2B8gMzNTWVlZDmM5OcEKDg6p1cetLm9vx1tTeXiYXUGFM7W4Sk0hrvHvRZJ01VWOt2bz9DS7gnINGjjemi0y0uwKKrRu7XhrMh8fsyuo4FKvwSarjSSoqp/BwcHBCqnGa%2BrWrVs1YsSIKrdNnDhRkuTn52cf8/X1laQqr1vKycnRTTfdpOHDh%2Bu1117Tr7/%2BqvHjx8vd3V1jxoxRXl6e/fgzfHx8lJ%2Bff8E6z6jRZunYsWN66qmn9PrrrysgIKDKZsnLy0slJSWVxktLS%2BXl5XVRj5ecnKykpCSHsfHjJyg%2BPu7iCq9lzZqZXYEkBZpdQGV165pdQbmRI82uoLKYGLMrcE19%2B5pdQbmhQ82uoLIPPzS7AklSuNkFVKF5c7MrMF9tNEtV/QyeMGGC4uIu/DM4KipKO3furHLbjh07NHv2bBUUFMjf31%2BS7MtvAQEBlfa/9dZbdeutt9rvt2/fXiNHjtSqVas0ZswY%2Bfr6qrCw0OGYwsJC%2B7mro0abpfXr1ys7O1sPPfSQJNkjsP79%2B%2BuRRx7Rww8/rGuuuUaHDh2qdOz%2B/fvVuHHji3q82NhYRUdHO4ydOhWs9PRLfAI1zNu7vFHKyJBOnza3lpZBtZvyXRQPj/JGKSdHKi01uxrp88/NrqDCVVeVN0orV0rHjpldjWslS337Sl9%2BKR0/bnY1kpMLTS%2B71q3LG6WhQ6WLWFaoLbuSN5tdgp23d3mj9Pvv5r8GS1K4K3aSBlT1Mzg4ONjweVu0aCFPT0%2Blp6erQ4cOkqTdu3fbl8/O9c033%2Bjo0aO6//777WNFRUXy%2BU/MGR4erl27dqlHjx6SpOLiYu3bt89hae5CarRZGjBggAYMGGC/f%2BDAAfXs2VMrVqxQ06ZNJZU3TmPGjFGPHj3Uu3dvubm56eeff9Z7772nIUOGXNTjhYSEVIr7fvlFOqeBNN3p0y5Qkys0JecqLXWNujIzza6gsmPHXKOui0x7a93x49I5sb8pUlPNrqCytDSXqMv017oquMRrsMlqI1mq6mdwTfD19VXfvn2VmJio2bNnS5ISExPVr18/ewN0NpvNppdfflnXXnutunbtqi1btuiDDz7Q008/LUm69957NXfuXHXv3l0tWrTQ66%2B/rqCgIPtf71fHZX9Typtuukmvvfaa3n33XU2fPl0lJSVq3Lixhg8fft71SwAA8N9j%2BvTpeuWVVxQTE6Pi4mL17NlTzz33nH37Pffco5iYGD3yyCPq3bu3nn76aT3//PM6cuSIgoKCFBcXZw9vBg8erJycHI0fP17Hjh1Tu3bt9Pbbb8vzIpJzN9vFvNHAFeCXX8yuoIKPj9SypZSebv5vNW2vyTa3gLN5eEiBgdKJE66RLP3v/5pdQYWQkPJrqP7v/0iWzhYcXL7M9OGHrpEsTZpkdgUVIiOlzZulTp1cIlna9rPr/Ejx8Slf%2Btq1y/zXYElq1868x3722Zo/54sv1vw5XRUfdwIAgMXx/tDG8EG6AAAATpAsAQBgcSRLxpAsAQAAOEGyBACAxZEsGUOzBACAxdEsGcMyHAAAgBMkSwAAWBzJkjEkSwAAAE6QLAEAYHEkS8bQLAEAYHE0S8awDAcAAOAEyRIAABZHsmQMzRIAABZHs2QMy3AAAABOkCwBAGBxJEvGkCwBAAA4QbIEAIDFkSwZQ7MEAIDF0SwZwzIcAACAEyRLAABYHMmSMSRLAAAATpAsAQBgcSRLxtAsAQBgcTRLxrAMBwAA4ATJEgAAFkeyZAzJEgAAgBMkSwAAWBzJkjE0SwAAWBzNkjEswwEAADhhuWSp7bU5ZpdQwd1dkr9aXpNnelu/8p9Xm/r4Z6tfX%2BreXfru50CdPGl2NVJM06Zml1ChQYPy24YNJS8vc2uRpNdeM7uCcq1aSUOHSqtWSTt3ml2Ntv1sM7sEOx8fKVzSruTNKiw0uxqpXXs3s0uoEBkpbd6s8NhOUmqq2dVINvP%2B3ZAsGUOyBAAA4ITlkiUAAOCIZMkYmiUAACyOZskYluEAAACcIFkCAMDiSJaMIVkCAABwgmQJAACLI1kyhmYJAACLo1kyhmU4AAAAJ0iWAACwOJIlY0iWAAAAnCBZAgDA4kiWjKFZAgDA4q60Zik/P18JCQlau3atSkpK1LNnT02fPl3%2B/v6V9p02bZpWrlzpMFZYWKhbbrlF7733nsrKytS5c2fZbDa5uVV80PP3338vPz%2B/atXDMhwAAHApCQkJOnz4sL7%2B%2BmutXr1ahw8fVmJiYpX7zpw5U6mpqfavuXPnql69enrqqackSenp6SouLlZKSorDftVtlCSaJQAALK%2BsrOa/aktBQYFWrlyp%2BPh4BQYG6uqrr9aUKVO0bNkyFRQUOD322LFjmjJlip599lmFh4dLkrZt26ZWrVrJy8vrkmtiGQ4AAFxWhYWFOnLkSJXbCgoKVFxcrIiICPtYWFiYCgsLtW/fPl1//fXnPW9iYqLatm2r/v3728e2bdum06dP695779XBgwcVFhamyZMnq1OnTtWul2YJAACLq40kKDMzU1lZWQ5jwcHBCgkJueCxW7du1YgRI6rcNnHiRElyWCbz9fWVJOXl5Z33nBkZGVqxYoU%2B/fRTh3EfHx%2B1b99eEydOVP369bV48WI99NBDWrFihZo1a3bBWiWaJQAALK82mqXk5GQlJSU5jE2YMEFxcXEXPDYqKko7d%2B6sctuOHTs0e/ZsFRQU2C/oPrP8FhAQcN5zLl26VJGRkZWSpzPXLp3x0EMPadmyZVq3bp0eeOCBC9Yq0SwBAIBLEBsbq%2BjoaIex4OBgw%2Bdt0aKFPD09lZ6erg4dOkiSdu/eLU9PT4WGhp73uNWrV2v06NGVxl9//XX16dNHN9xwg32sqKhI3t7e1a6JZgkAAIurjWQpJCSkWktuF8vX11d9%2B/ZVYmKiZs%2BeLan8WqR%2B/frJx8enymOOHz%2Bu3bt368Ybb6y07bffftOmTZv0xhtvqH79%2BnrnnXeUm5ur3r17V7sm/hoOAAC4lOnTpys0NFQxMTG666671LRpU02bNs2%2B/Z577tHf/vY3%2B/0DBw5Ikho2bFjpXC%2B//LKaN2%2BuAQMGKCoqSikpKXr//fcVGBhY7XpIlgAAsLgr7U0pAwIClJCQoISEhCq3f/HFFw7327Vrd95roAIDA/Xyyy8bqodmCQAAi7vSmiVXwzIcAACAEyRLAABYHMmSMTRLAABYHM2SMSzDAQAAOEGyBACAxZEsGUOyBAAA4ATJEgAAFkeyZEyNNUvR0dHKyspSnTqOp2zbtq1%2B%2BeUX%2B/38/Hx5e3vLw8NDkhQTE6OZM2cqOjpaEyZM0KBBg2qqJAAAIJolo2o0WZoxY8YFm51WrVpp/vz5ioqKqsmHBgAAqBUswwEAYHEkS8Zc0c1SZmamsrKyHMaC/fxq5VOQL4m7u%2BOtierXN7uCCgEBjrem82xgdgUV6tVzvDVbq1ZmV1AuNNTx1mTn%2BeBzU3h7O96aLjLS7AoqtG7teAtcIjebzWariRNFR0crOztbnp6eDuPfffed/Pz87PdbtWqlDz74oNIy3KVcszR37lwlJSU5jE0YP15x8fGX8AwAALCmNm1q/pzbt9f8OV1VjSZL06dPv6wXaMfGxio6OtphLNjPT8rLu2w1OOXuLvn6SgUFpmeg3/3kb%2Brjny0gQOrUSdq8WcrNNbsaqXv%2BV2aXUKFePemWW6R//1s6dcrsaqRFi8yuoFxoqPTCC9Jf/iLt22d2Ndo13UXmReWJUvPm0u%2B/S6dPm12NFB7byewSKrRuLX34oTR0qJSWZnY15S96JmEZzpgrehkuJCSk8pJbTo7r/asoKzO9ppMnTX34KuXmukhducfNrqCyU6ek4y5Q186dZrYMgzgAAA2FSURBVFfgaN8%2Bl6ipsNDsCio7fdpF6kpNNbuCytLSXLMuXDGu6GYJAABcmKtlCFca8688BgAAcGE1liytXbu2WvvtPE%2BEXt3jAQDAxSFZMoZlOAAALI5myRiW4QAAAJwgWQIAwOJIlowhWQIAAHCCZAkAAIsjWTKGZgkAAIujWTKGZTgAAAAnSJYAALA4kiVjSJYAAACcIFkCAMDiSJaMoVkCAMDiaJaMYRkOAADACZIlAAAsjmTJGJIlAAAAJ0iWAACwOJIlY2iWAACwOJolY1iGAwAAcIJkCQAAiyNZMoZkCQAAwAmSJQAALI5kyRiaJQAALI5myRiW4QAAAJwgWQIAwOJIlowhWQIAAHCCZAkAAIsjWTKGZAkAAIsrK6v5r8uhoKBAsbGxWrZsmdP9tm7dqvvuu0%2BRkZGKjo7Wp59%2B6rB9%2BfLl6t27tzp27KhBgwYpNTX1ouqgWQIAAC5n165dGjZsmLZs2eJ0v5MnT%2Brhhx/WwIEDtXHjRr344ot6%2BeWX9fPPP0uSNmzYoISEBM2aNUsbN27U/2/v/mOirv84gD/P4xDEBoc/moiNUkjnzIp5BCkGoS5BCGielqE1RWUobrZVxgakzdbUVGiTrvgRmaGumKekRJjTAjNgGFlOQxeJdRrWSn54cPf9w3lxyn3Avp/j/ek%2Bz8fGxr0/wD19exyvz/vzfr8/iYmJWL16NTo7OwedhcUSERGRh/uvjSzV1tZi6dKlSE5ORlBQkOTXVlVVISAgAM899xy8vLwQGRmJBQsWYPfu3QCAffv2IT4%2BHuHh4dDpdFi2bBn0ej0qKysHnYdzloiIiGhIdXV14bfffuv32JgxYzB58mQcPXoUw4cPR3FxseTPOnfuHMLCwpzaJk2ahP379wMAzp8/j9TU1DuO//jjj4POy2KJiIjIw7ljJMhiseDKlStObWPGjMHYsWMH/N6mpiakpaX1e%2Bydd95BXFzcoHNcv34dvr6%2BTm0%2BPj7o6OgY1PHB8Lxi6Z57RCdwsFgsKC8qgtFoHNSLx50WLBD69E4sFgvy88sV0S83LRYdwMFisaA8P185fbNYGX3j6Jdt2xTRL9NEB%2Bij7%2B9TaKj4voHdLjqBg%2BN1c/iwIl43IrnjvyU/vxwFBQVObZmZmVizZs2A3xsREYGzZ8/KksPX1xd//fWXU1tXVxf8/Pwcx7u6uu44rtfrB/0cnLPkRleuXEFBQcEdlbfasV9cY9/0j/3iGvvGNfaNe91apdb3w2g0DnmOsLAwnDt3zqnt/PnzCA0NBQCEhoZKHh8MFktERER018aOHYupU6c6fYgYwZszZw6uXr2KkpISWK1W1NXVwWw2O%2BYpPfPMMzCbzairq4PVakVJSQl%2B//13zJkzZ9DPwWKJiIiI/lPi4%2BOxa9cuAIBer0dRUREOHz6MiIgIZGdnIzs7G4899hgAIDIyEjk5OcjNzYXBYMChQ4dgMpkQEBAw6OfzvDlLRERE5DFqamruaDt06JDT42nTpuHjjz92%2BTOSkpKQlJT0rzNoc3Nzc//1d9OA/Pz8YDAYHBPN6Cb2i2vsm/6xX1xj37jGviE5aOx2BS1dICIiIlIYzlkiIiIiksBiiYiIiEgCiyUiIiIiCSyWiIiIiCSwWCIiIiKSwGKJiIiISAKLJSIiIiIJLJaIiIiIJLBYIiIiIpLAYomIiIhIAm%2BkK7P29nYcOHAAly5dQlZWFk6dOoWYmBjRsYR59dVXB/yazZs3D0ES5ens7ISXlxd0Oh0aGxvx2Wefwd/fH4mJiZgwYYLoeIpjMBjwzTffiI5BRCrEYklG33//PV544QU88MADOHv2LNLS0pCVlYWcnBykpqaKjifcwYMHkZCQIDqGItTV1WH16tXw9/fHhg0bsH79ekRGRuLGjRsoLi5GaWkppk6dKjqmEK4K7I6ODscxNRbYkydPhkajcWrz9vZGUFAQUlNTsXz5ckHJlKGiomLAr3n66aeHIAl5It5IV0ZLlixBSkoKUlJSMGPGDJw6dQrHjx/H5s2bUVlZKTqecLf6hIBFixYhMTER165dQ2FhId58803Mnz8fALBv3z6YzWZ88MEHglOK8fzzz6OhoQFz586Fj4%2BPo71vsa3GYqm/UbXe3l5cvHgRRUVFWLp0KZYsWSIgmTLExsZKHtdoNPjiiy%2BGKA15GhZLMjIYDKitrYVWq3W6ZBAeHo76%2BnrB6cTjZZR/3HpNdHR0IDw8HM3NzdBqtQBu/gGMiorCyZMnBacUw2azIT8/H9XV1diyZQsefPBBAHz9SGloaEBOTg7MZrPoKEQeiRO8ZRQYGIiWlhantpaWFowePVpQIlIqX19ftLe3Y8SIEcjLy0Nvb6/j2E8//QQ/Pz%2BB6cQaNmwYsrKysGHDBmRkZGD37t2iIyne9OnTcenSJdExhMrNzRUdgTwYiyUZPfvss1i5ciX27t2Lnp4eVFZWIisrC0ajUXQ0Uph58%2BZh1apV6O7uxsKFC%2BHt7Q0AKCkpwYsvvojFixcLTiheZGQk9u7di5qaGmRkZMBms4mOpFh2ux1eXuqegnrgwAHREciDqfu3S2ZpaWnQarUoLS2FzWbDjh07YDQasWzZMtHRhGlra3N8brPZcPnyZdx%2B5TcoKGioYwn31FNPwdvb21Ek3dLU1IT09HSkpaUJSqYso0aNwnvvvYddu3bhwoULouMoVnV1NSZOnCg6hlCcUULuxDlL5FZ9V/DY7Xan1Ty3Hv/www%2Bi4gnz6KOPoqGhQXQMRUpPT8e7774rOobiFBQU3NHW29uLtrY2HDlyBFu3bsWTTz4pIJkyTJ8%2BHe%2B//75k0TRjxowhTESehCNLMnK15Fmn0yEwMBBPPPEEHn744SFOJRZXn/SP5yiuffvtt6IjKFJ/E/6HDx%2BOcePGwWQyqb4Q6O7ullwNqNYTM5IHiyUZ6XQ6fPLJJ4iLi8OECRPQ1taGqqoqREVF4Y8//kBpaSneeOMNxxJxNRg/frzoCIp0%2B345RAMpKysTHUHRfH190djYKDoGeSgWSzK6fPkytm/fjri4OEfbsWPHsGfPHuzcuRMnT57Epk2bVFUsAYDZbIbVakVKSgquXr2KdevW4cyZM5g3bx5ef/116HQ60RGHXGdn54CXTNQ6KtfT0zPgBoPcXPAfJpMJK1asEB1DOJ6AkDuxWJJRU1MTCgsLndpmzZqF9evXAwAiIiJUt7y3oqICGzduxEsvvQTg5maCf/75J7Zu3YqysjIUFhYiMzNTcMqhp9PpVPnvHgyr1YqdO3e6PK7RaFRZLPVdLNFXYWEhEhISYLfbVblY4hZe2iZ3YrEko8DAQBw/fhyzZ892tNXW1iIgIAAA0NraCn9/f1HxhPjwww/x9ttvIzo6Gjdu3MDnn3%2BOHTt2ICYmBiEhIVi1apUqiwYvLy8kJyeLjqFIPj4%2BqKmpER1DceLi4hwFQd/FEna7HTExMaqfk/PQQw85Pe7q6nLaAZ7o/8FiSUZr1qxBZmYm5s6di%2BDgYPzyyy%2Borq5GXl4eWlpaVHk7gosXL2LWrFkAgObmZvT09DgmooaEhMBisYiMJwzPgl3j5ZT%2BmUwmvPLKK1i4cCFSUlIA3HwdJSUlcY8hAN99953T4%2BjoaO74TrLhppQyio%2BPR1lZGUaMGIEzZ85g5MiR%2BOijj5CQkIBhw4YhJycHK1euFB1zSPUtCpqamjBx4kSMHDkSAHDt2jXVbqSXmJgoOoJidXd3i46gSI8//jg%2B/fRT1NfXY9u2bdDr9QgODoZWq8X48eNVv5ji9hMQnpCQnFgsyejnn3/Gnj170Nraiu7ubly4cAGbNm3CzJkzERIS4jTxWy3CwsLw1VdfAQCOHDmCmTNnOo6dOHECoaGhoqIJlZeXJzqCYvGPnGujR49GcXEx7r//fiQnJ%2BP06dOiIynG7SOSHKEkOanztN5NXnvtNdjtduj1erS3t2PKlCmoqKhQ9Q7ey5cvx9q1azFu3Dj8%2Buuv2LJlCwDgrbfeQnl5OTZu3Cg4ISkN55n0r76%2BHuHh4dBoNMjMzITBYMC6detgtVpFRyPyeCyWZNTc3Iwvv/wSbW1t2L59O7KzsxEdHa3aFV8AEBAQAJPJhMbGRsTExCA4OBgAcPr0abz88suq20aB6N9asWKF067vBoMB%2B/fvx4kTJwSmUo7bt5ywWq13bEGhxlWUJA/e7kRGUVFR%2BPrrr3H9%2BnUkJCTg6NGjAG7eELS2tlZwOjF4Ww%2B6W1OmTBlwCbwa96B65JFHuOmihNjYWMnjGo1Gla8bkgdHlmR033334dixY5g9ezZsNhtaW1vh7e2Nnp4e0dGEYS1Od4t7UPWPc3CkcbsJcicWSzJKT0/H2rVrcfDgQRiNRixatAharVbVN7fkGzzdLe5B1T/u%2Bk4kDoslGcXGxqKqqgqjRo1CRkYGQkJC8Pfff6v6Ojnf4OlucTSyfxxxIxKHxZLM7r33XsfnnLzMN3i6e9yDqn8ccSMShxO8ya04wZtIHpzgTSQON6Ukt2ItTiQPjrgRicNiidyKb/BE8uCu70Ti8DIcERERkQSOLBERERFJYLFEREREJIHFEhEREZEEFktEREREElgsEREREUlgsUREREQkgcUSERERkQQWS0REREQS/ge5UhBvJHAc3AAAAABJRU5ErkJggg%3D%3D\" class=\"center-img\">\n",
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paamSpI%2B%2BOADDR06VFFRUfLz89OECRN0%2BPBhp0nVhaJZAgAAFywzM1M//PCDw1fFm%2BLWxC233KLPPvus2veSO9Pu3bsVHR3tMHbVVVfZPzfz7O0%2BPj6KiIhw6YeCW%2B9NKd3pXXxbtpR27ZKioqR9%2B0wtpbTEvd5Oy9NTOuMTOky1erXZFVQKDJS6dZO%2B/FLKzze7Gun3T3JxC97eUkmJ2VWUc/HlEIb4%2BJT/qNm3T/r902pM1apB1c84NI2np9SggXTsmHv8wAkLM%2B%2Bxa%2BF3Y%2BqsWUpJSXEYGzt2rBISEmp0fFgN5%2BPUqVMKCAhwGPP391f%2B7z8kz7fdFazXLLmTkBDJy6v8Fg7cqad1J97e5XPjzb/MKvieqZ6nZ/nceLJOUNWZk%2BMOzZLFxMfH2z/gu0JNG6ALERAQoMLCQoexwsJC%2B2dsnm%2B7K/AjGQAAq6uFbjo8PFzh4eEuP%2B/ZoqOj9cMPPziM7d69W23btpUkRUVFadeuXerWrZskqbi4WPv376%2BydGcE/xcBAABuq3///kpLS9Mnn3yikpISffLJJ0pLS9OAAQMkSXfffbfee%2B89ZWRk6PTp03r55ZcVGhqqTp06uawGkiUAAKzuMlunjY2N1bRp09S/f39FRkbqjTfeUHJysp555hk1bdpUs2fPVsuWLSVJgwcP1smTJzVmzBgdO3ZM7dq109y5c%2BXj4%2BOyemiWAACAqXbs2OFwPz093eF%2Bly5d1KVLl2qP9fDw0IgRIzRixIhaq49mCQAAq7vMkiV3Q7MEAIDV0SwZwuwBAAA4QbIEAIDVkSwZwuwBAAA4QbIEAIDVkSwZQrMEAIDV0SwZwuwBAAA4QbIEAIDVkSwZwuwBAAA4QbIEAIDVkSwZQrMEAIDV0SwZwuwBAAA4QbIEAIDVkSwZwuwBAAA4QbIEAIDVkSwZQrMEAIDV0SwZwuwBAAA4QbIEAIDVkSwZQrMEAIDV0SwZwuwBAAA4QbIEAIDVkSwZwuwBAAA4QbIEAIDVkSwZQrMEAIDV0SwZwuwBAAA4QbIEAIDVkSwZYrhZ%2BuKLLzRv3jwdOHBA%2Bfn5ateunZ5//nlFRETo448/1qxZs5STk6Nrr71WTZo0UXFxsV566SXZbDa9%2B%2B67WrRokXJychQdHa2nn35abdu2dcXzAgAAcAlDzdKvv/6qxMREvf7664qLi9Px48c1duxYvfHGGxo6dKgmTZqkWbNmqWvXrvryyy81fvx49evXT5K0ePFi/f3vf9ebb76pyMhIrVixQg8//LBWr16t0NDQGj1%2BZmamsrKyHMbCWrZUeEiIkaflOjExjrdwS3Xrml1BpeBgx1u4Jz8/syuo5OvreGs6bzdasPDycrz9X0ayZIiHzWazXezBRUVF%2BvXXX9WiRQvl5eXp0KFDeuONN5Sbm6sWLVooPz9fr7zyin3/xMREBQQE6KWXXtKdd96p4cOH695777Vvv/fee3XHHXdoxIgRNXr82bNnKyUlxWFs7OjRSkhMvNinBACA9bRp4/pz/vCD68/ppgz9F8DHx0f/%2Bte/9P7778vDw0PR0dHKy8uTt7e3jhw5otatWzvs37x5c2VnZ0uSfvnlF82cOVPJycn27SUlJRe0DBcfH6%2B4uDiHsbB%2B/aR//MPAs3KhmBhp8WJp6FApI8PUUko3bTH18c/m5SWVlppdRblvvjG7gkrBwVKHDtKWLVJentnVSDfeaHYFlXx8pOJis6so98svZldQyddXatJEOnxYKioyuxopot5xs0uo5OVVHh3n5rrHD5z69c2uABfJULO0evVqvffee/rnP/%2BpK6%2B8UpKUlJSknTt3qmnTpjp8%2BLDD/ocPH5bv71lx48aNNW7cOPXp08e%2B/eDBgwq5gCW08PBwhYeHOw7u23eRz6YWZWRI6elmV4FzyM01u4Kq8vLcsy6UO33a7AqqKipyk7pKSsyuoKrSUves61JiGc4QQ7N38uRJeXp6yt/fXzabTV9//bU%2B%2BugjFRcX65577tFnn32mDRs2qLS0VOvXr9fatWvtxw4ZMkRvvvmm9uzZI0nasGGD%2BvTpo02bNhl7RgAAAC5kKFm666679N1336lPnz7y8vLSH/7wBz344INatGiRWrVqpWnTpukvf/mLjh8/rk6dOunGG2%2BUj4%2BPJOmhhx6SzWbT6NGjlZmZqUaNGmnKlCnq3r27S54YAAD4HcmSIYaaJV9fX/31r3%2BtMj5u3Djt27dP11xzjT7//HP7eEJCgho0aCBJ8vLy0siRIzVy5EgjJQAAgPOhWTKk1mZv9%2B7devDBB3Xw4EFJ0saNG7VhwwbdeuuttfWQAAAALldrb4jRo0cP7d69W8OHD9dvv/2mpk2bKikpSR06dKithwQAANUhWTKkVt89bNSoURo1alRtPgQAAECtcqO3WgUAALWCZMkQmiUAAKyOZskQZg8AAMAJkiUAAKyOZMkQZg8AAMAJkiUAAKzODZOlnJwcPffcc0pLS5OXl5f69%2B%2BvSZMmydvbsTUZOXKkvvvuO4ex/Px8xcfHa/r06crOztbNN9%2BswMBA%2B/b69evriy%2B%2BcFmtNEsAAFidGzZL48ePV6NGjbRhwwZlZ2dr1KhRWrhwYZVP9nj77bcd7i9ZskQpKSkaO3asJGn79u1q2rSpS5ujs7nf7AEAAEs7cOCA0tLS9OSTTyogIEDNmzfX6NGjtWjRIqfH7d27V0lJSUpOTlZ4eLik8mapbdu2tVovyRIAAFZXC8lSZmamsrKyHMbCwsLsTYwzu3btUkhIiBo1amQfi4yM1OHDh5Wbm6u6detWe9y0adM0cOBAderUyT62fft2/fbbb%2Brbt6%2Bys7PVrl07TZo0SVddddVFPrOqSJYAAMAFS01N1aBBgxy%2BUlNTa3TsqVOnFBAQ4DBWcT8/P7/aYzZv3qxt27bZl98q1K1bVx07dtQ777yjdevWKSIiQg8//LBOnjx5Ec%2BqeiRLAABYXS0kS/Hx8YqLi3MYCwsLq9GxgYGBKigocBiruB8UFFTtMampqerdu3eVx3j55Zcd7k%2BePFlLly7V5s2b1a1btxrVcz40SwAAWF0tNEvh4eE1WnKrTlRUlE6cOKHs7GyFhoZKkvbs2aPGjRurTp06VfYvKSnR559/rjfeeMNhPC8vT2%2B88YYeeOABNW3aVJJUWlqqkpIS%2Bfv7X1Rt1WEZDgAAXFIRERHq2LGjZsyYoby8PB06dEhz5szR4MGDq91/x44dOn36tDp06OAwHhwcrP/85z%2BaOXOmTp48qVOnTikpKUnNmjVzuK7JKJolAACsztPT9V8GzZo1SyUlJerevbuGDBmiLl26aPTo0ZKk2NhYrVy50r7voUOHVK9ePfn5%2BVU5z5w5c1RWVqbbb79dXbp0UVZWlubPny8fHx/DNVZgGQ4AAFxyoaGhmjVrVrXb0tPTHe736tVLvXr1qnbfpk2bKiUlxeX1nYlmCQAAq3PDN6W8nNAsAQBgdTRLhjB7AAAATpAsAQBgdSRLhjB7AAAATpAsAQBgdSRLhtAsAQBgdTRLhjB7AAAATpAsAQBgdSRLhtAsAQBgdTRLhjB7AAAATpAsAQBgdSRLhliuWSotsZldggMvSaWbtphdhry8PcwuoVJsrLRli7yu6yCd9WGJZgjZ4D7fM0FB5bd16rjHz7YlS8yuoFz9%2BlKvXtLnn0vHj5tdjXRfLzcoooKXl6S6imiQK5WWml2N3nw/zOwS7EJDpXvukT5cV1/Z2WZXI40aZXYFuFiWa5YAAMBZ3OF/X5cxmiUAAKyOZskQZg8AAMAJkiUAAKyOZMkQZg8AAMAJkiUAAKyOZMkQmiUAAKyOZskQZg8AAMAJkiUAAKyOZMkQZg8AAMAJkiUAAKyOZMkQmiUAAKyOZskQZg8AAMAJkiUAAKyOZMkQZg8AAMAJkiUAAKyOZMkQmiUAAKyOZskQZg8AAMAJkiUAAKyOZMkQZg8AAMAJkiUAAKyOZMkQmiUAAKyOZskQZg8AAMAJkiUAAKyOZMkQZg8AAMAJkiUAAKyOZMkQmiUAAKyOZskQZg8AAMAJkiUAAKyOZMkQZg8AAMCJGidLU6ZM0apVqyRJJSUlKi4uVkBAgH37/Pnz9dtvv2n%2B/PnauXOnJCkiIkLDhg3TXXfdJUn6%2Beef1b17d33%2B%2Bedq1qyZw/mfeuopSdJLL71k7BkBAABHbpgs5eTk6LnnnlNaWpq8vLzUv39/TZo0Sd7eVVuTkSNHauPGjQ7bXn/9dXXt2lWlpaVKTk7WihUrVFBQoBtuuEHTpk1TeHi4y2qt8exNnz5d6enpSk9P17Rp09SkSRP7/fT0dEnSxIkTNWrUKG3atEmbNm1SYmKikpKStGLFCpcVDAAALpCnp%2Bu/DBo/frwCAwO1YcMGLVmyRN9%2B%2B60WLlxY7b7ff/%2B9FixY4NB3dO3aVZL05ptv6ptvvtHSpUu1YcMG%2Bfv769lnnzVc35lc1mqmp6ercePG6tq1q7y8vOTl5aVbb71VEyZMUHFxsaseBgAAXOYOHDigtLQ0PfnkkwoICFDz5s01evRoLVq0qMq%2Bhw4d0m%2B//abWrVtXe64PP/xQjz76qK644goFBwfrmWee0ddff61Dhw65rF6XXeDdrVs3zZkzR/fdd5/uuOMOXXvttWrbtq3uv//%2BKvv2799fnmd1pYWFherbt%2B8FPWZmZqaysrIcxho2DFNYmOuiN8uIjTW7gkoxMY63JgsKMruCShUr22escJuqfn2zKyhXt67jrem8vMyuoFLFz1I3WWYJDTW7gkohIY63/9Nq4fujut/BYWFhNVr%2B2rVrl0JCQtSoUSP7WGRkpA4fPqzc3FzVPeMf%2B/bt2xUUFKQnnnhC27dvV2hoqB566CENHjxYJ0%2Be1K%2B//qro6Gj7/qGhoapXr5527Nih5s2bu%2BCZurBZuuqqq7Ry5UotWrRIy5Yt01//%2Blf5%2BPioR48emjx5ssLCwuz7rly58pzXLF2I1NRUpaSkOIyNGTNW48YlXNyTqCVu8XN1yxazK6hq8WKzK5AkuVEbaecmfaTbuekmsyuo4C5d2xmCg82uQJJ0zz1mV1BVjx5mV2BN1f0OHjt2rBISzv87%2BNSpUw7XPUuy38/Pz3doloqKitS%2BfXs98cQTioqK0saNG5WQkKCgoCDF/h4EBAYGOpzL399fp06duqjnVR2XvnVA8%2BbN7U3PyZMnlZaWpldffVWJiYlaXAu/GOPj4xUXF%2Bcw1rBhmEpLXf5QF83LS25Rj9d1HcwuoVJMTHmjNHSolJFhdjVKX%2BA%2BjWRAQPn0ZGRIBQVmVyMdPWp2BeXq1i1vlP7zHyk31%2BxqpF43uUERFTw9yxulvDyprMzsavThGvdpJENCyhulzz6TTpwwuxqTG8laSJaq%2Bx18ZjDiTGBgoArO%2BiFXcT/orLh/4MCBGjhwoP3%2BLbfcooEDB2r16tW66ff/QZ19rsLCwirnMcJlzdL999%2Bva665RpMmTZIk1alTR927d5eHh4cmTJjgqodxEB4eXiXuc4fGxC39fhG%2BW8nIcIu6XPifD5cpKHCPuo4fN7sCR7m5blKTO/6gKStzi7qys82uoKoTJ9yzrkuqFpql6n4H11RUVJROnDih7Oxshf6%2Bdrtnzx41btxYderUcdh3yZIlCgoKUu/eve1jRUVF8vPzU7169dSoUSPt3r3bvhSXlZWlEydOOCzNGeWy2evfv7/ef/99rVixQseOHVNZWZn27dund999V3fccYerHgYAAFzmIiIi1LFjR82YMUN5eXk6dOiQ5syZo8GDB1fZNy8vT0lJSfrxxx9VVlamr776Sv/6178UHx8vSRo0aJDefPNNHTp0SHl5eZoxY4auv/56tWjRwmX1uixZio%2BPV3BwsN577z1Nnz5dJSUlatSokfr27avHH3/cVQ8DAAAulJu8AOBMs2bN0vTp09W9e3d5enpq4MCBGj16tCQpNjZW06ZNU//%2B/fXggw8qPz9fY8eOVU5Ojpo3b66ZM2eqU6dOkqQxY8aopKRE999/v06dOqXOnTvrtddec2mtHjabzebSM5rMDVJoB25zzZK3h9klVIqNLb/gvEMHt1iG%2B/cG9/knEBRUPj3p6e6xDOfCV94aUr%2B%2B1KuX9Omn7rEMd18vNyiigpdX%2BUVdublu8cPmzffd5CWUKn9l3j33SB9%2B6B7LcKNGmfjgL7zg%2BnM%2B84zrz%2Bmm%2BGw4AACszg2TpcsJzRIAAFZHs2QIswcAAOAEyRIAAFZHsmQIzRIAAFZHs2QIswcAAOAEyRIAAFZHsmQIswcAAOAEyRIAAFZHsmQIzRIAAFZHs2QIswcAAOAEyRIAAFZHsmQIswcAAOAEyRIAAFZHsmQIzRIAAFZHs2QIswcAAOAEyRIAAFZHsmQIswcAAOCVKWGrAAAgAElEQVQEyRIAAFZHsmQIzRIAAFZHs2QIswcAAOAEyRIAAFZHsmQIswcAAOAEyRIAAFZHsmQIzRIAAFZHs2QIswcAAOAEyRIAAFZHsmQIswcAAOAEyRIAAFZHsmSI5Zql1avNrqBS3bpS167SN99Iubnm1hKywWZuAWcICpJiJaUv2KJTp8yuRrqli4fZJVSKjZW2bFHsIx2k9HSzq5Fmzza7gnKeYZLi1eu3VCkny%2BxqpL%2BdNruCSuHh0rBh0ooVUmam2dVo1JAhZpdQycdHUmPd0%2BVXqbjY7GokNTfvoWmWDGH2AAAAnLBcsgQAAM5CsmQIswcAAOAEyRIAAFZHsmQIzRIAAFZHs2QIswcAAOAEyRIAAFZHsmQIswcAAOAEyRIAAFZHsmQIzRIAAFZHs2QIswcAAOAEyRIAAFZHsmQIswcAAOAEyRIAAFbnhslSTk6OnnvuOaWlpcnLy0v9%2B/fXpEmT5O1dtTX55z//qYULFyozM1Ph4eEaPny47r//fklSWVmZOnbsKJvNJg8PD/sx33zzjQIDA11SK80SAABW54bN0vjx49WoUSNt2LBB2dnZGjVqlBYuXKiRI0c67Ldu3Tq98sormj9/vq699lpt3bpVjz32mEJDQ9WzZ0/t3r1bxcXF2rJli3x9fWulVvebPQAAYGkHDhxQWlqannzySQUEBKh58%2BYaPXq0Fi1aVGXfo0eP6tFHH1X79u3l4eGh2NhYde7cWZs2bZIkbd%2B%2BXa1ataq1RkkiWQIAwPpqIVnKzMxUVlaWw1hYWJjCw8PPe%2ByuXbsUEhKiRo0a2cciIyN1%2BPBh5ebmqm7duvbxiuW2Cjk5Odq0aZMmT54sqbxZOn36tO6%2B%2B2798ssvioyM1IQJE9ShQwcjT88BzRIAAFZXC81SamqqUlJSHMbGjh2rhISE8x576tQpBQQEOIxV3M/Pz3dols6UlZWlP/7xj2rbtq369u0rSfL399c111yjxMRE1atXT4sWLdIjjzyilStXqnnz5hfz1KqgWQIAABcsPj5ecXFxDmNhYWE1OjYwMFAFBQUOYxX3g4KCqj1m69atSkxMVKdOnfTiiy/aLwR/6qmnHPZ75JFHtGzZMq1fv14PPPBAjeo5H5olAACsrhaSpfDw8BotuVUnKipKJ06cUHZ2tkJDQyVJe/bsUePGjVWnTp0q%2By9ZskTPP/%2B8xo0bpxEjRjhse/XVV9WzZ0%2B1bt3aPlZUVCQ/P7%2BLqq06XOANAAAuqYiICHXs2FEzZsxQXl6eDh06pDlz5mjw4MFV9l2zZo3%2B8pe/aPbs2VUaJUnauXOnXnjhBWVlZamoqEgpKSnKy8tTjx49XFYvzRIAAFbn6en6L4NmzZqlkpISde/eXUOGDFGXLl00evRoSVJsbKxWrlwpSUpJSVFpaanGjRun2NhY%2B9eUKVMkSS%2B%2B%2BKJatGihAQMGqHPnzkpLS9Pf//53hYSEGK6xAstwAABYnRu%2Bz1JoaKhmzZpV7bb09HT7n1etWuX0PCEhIXrxxRddWtvZ3G/2AAAA3AjJEgAAVueGydLlhNkDAABwgmQJAACrI1kyhGYJAACro1kyhNkDAABwgmQJAACrI1kypNaapSlTptjfG6GkpETFxcUOH5o3f/58rV69Wp9%2B%2Bqny8/MVFRWlJ554QjfeeGNtlQQAAHDBaq3VnD59utLT05Wenq5p06apSZMm9vvp6elat26dtm3bpo8%2B%2BkjfffedBgwYoNGjR%2BvUqVO1VRIAAP%2Bb3PAdvC8npi3DPfnkkyoqKlJAQIDy8/N14sQJ1alTRz4%2BPmaVBACANf2PNTeuZlqz5OXlpYCAAKWmpmrq1Kny9vZWcnKyfH19zSoJAACgCtMv8B44cKAGDRqktWvXauLEiQoLC1PHjh1rdGxmZqaysrIcxoqLw9SwYXhtlHrBgoMdb80UFGR2BZUqLl074xI2c8XGml1BpZgYx1uzhYWZXUG5%2BvUdb81WVGR2BZUaNHC8NZs7rQ54ezve/i8jWTLE9O8gPz8/SVKfPn300UcfafXq1TVullJTU5WSkuIwNmbMWN11V4LL6zSiQwezK3BP7tIPaMsWsyuoavFisytwT3fcYXYF7qtPH7MrcF%2BhoWZXgMucac3S%2BPHj1b59ez300EP2saKiIoWEhNT4HPHx8YqLi3MY27kzTF9/7aoqjQkOLm%2BUtmyR8vLMraVOHXMf/0wBAeWNUkaGVFBgdjVS7CNu1M3GxJQ3SkOHlk%2BQ2SZNMruCcvXrlzdKa9dKx4%2BbXY37JUt9%2BkgffywdO2Z2NVKPHmZXUMnbu7xRys6WSkrMrkZq3Ni8xyZZMsS0Zik2Nlbz5s3TjTfeqMjISC1fvlzbt29XUlJSjc8RHh6u8HDHJbd9%2B6TcXFdXa0xenvk1ueO/k4ICyS1e/JiebnYFVWVkuEddZy1zm%2B74cfeo6fRpsyuo6tgxKTPT7Cqk4mKzK6iqpMQ967qU3PGXwGXEtGZp%2BPDhOn36tEaNGqWTJ08qJiZGCxcuVIsWLcwqCQAAoIpL0iwNGjRIgwYNchjz8PDQY489pscee%2BxSlAAAwP8ukiVDmD0AAAAnTH81HAAAqGUkS4bQLAEAYHU0S4YwewAAAE6QLAEAYHUkS4YwewAAAE6QLAEAYHUkS4bQLAEAYHU0S4YwewAAAE6QLAEAYHUkS4YwewAAAE6QLAEAYHUkS4bQLAEAYHU0S4YwewAAAE6QLAEAYHUkS4YwewAAAE6QLAEAYHUkS4bQLAEAYHU0S4YwewAAAE6QLAEAYHUkS4bQLAEAYHU0S4YwewAAAE6QLAEAYHUkS4YwewAAAE6QLAEAYHUkS4bQLAEAYHU0S4YwewAA4JLLycnR6NGj1alTJ3Xu3FkvvPCCSkpKqt13/fr16tevn9q3b6/evXvryy%2B/dNg%2Bf/58de3aVe3bt9ewYcO0d%2B9el9ZKswQAgNV5err%2By6Dx48crMDBQGzZs0JIlS/Ttt99q4cKFVfbbv3%2B/EhISlJiYqM2bNyshIUHjx4/X0aNHJUnLly/Xu%2B%2B%2BqwULFmjjxo1q06aNxo0bJ5vNZrjGCjRLAADgkjpw4IDS0tL05JNPKiAgQM2bN9fo0aO1aNGiKvsuX75cnTp10u233y5vb2/deeeduu6665SamipJ%2BuCDDzR06FBFRUXJz89PEyZM0OHDh7Vx40aX1cs1SwAAWF0tXLOUmZmprKwsh7GwsDCFh4ef99hdu3YpJCREjRo1so9FRkbq8OHDys3NVd26de3ju3fvVnR0tMPxV111lTIyMuzbH330Ufs2Hx8fRUREKCMjQzfccMNFPbezWa5Z6tnT7AqquvFGsyuQliwxu4JK9euX3x49Kh0/bm4tkqTZs82uoFJYWPntpEnSWT%2BETJGQYHYF5WJjpfh4aeZMKT3d7Gqk114zu4JKXl6Vt95u8CN9%2BHCzK6gUFSXNmydNmSLt2mV2NdJZ19lcSjZ5uPycqampSklJcRgbO3asEmrwc%2BPUqVMKCAhwGKu4n5%2Bf79AsVbevv7%2B/8vPza7TdFdzgXxYAALjcxMfHKy4uzmEsrOI/fOcRGBiogoICh7GK%2B0FBQQ7jAQEBKiwsdBgrLCy073e%2B7a5AswQAgMWVlbn%2BnOHh4TVacqtOVFSUTpw4oezsbIWGhkqS9uzZo8aNG6tOnToO%2B0ZHR%2BuHH35wGNu9e7fatm1rP9euXbvUrVs3SVJxcbH2799fZenOCC7wBgAAl1RERIQ6duyoGTNmKC8vT4cOHdKcOXM0ePDgKvv2799faWlp%2BuSTT1RSUqJPPvlEaWlpGjBggCTp7rvv1nvvvaeMjAydPn1aL7/8skJDQ9WpUyeX1UuzBACAxZWVuf7LqFmzZqmkpETdu3fXkCFD1KVLF40ePVqSFBsbq5UrV0oqv/D7jTfe0Ny5c3Xddddpzpw5mj17tlq2bClJGjx4sB566CGNGTNGN9xwg3788UfNnTtXPj4%2Bxov8HctwAABYXG0swxkVGhqqWbNmVbst/awXcnTp0kVdunSpdl8PDw%2BNGDFCI0aMcHmNFUiWAAAAnCBZAgDA4twxWbqckCwBAAA4QbIEAIDFkSwZQ7MEAIDF0SwZwzIcAACAEyRLAABYHMmSMSRLAAAATpAsAQBgcSRLxtAsAQBgcTRLxrAMBwAA4ATJEgAAFkeyZAzJEgAAgBMkSwAAWBzJkjE0SwAAWBzNkjEswwEAADhBsgQAgMWRLBlDsgQAAOAEyRIAABZHsmQMzRIAABZHs2QMy3AAAABOkCwBAGBxJEvGkCwBAAA4QbIEAIDFkSwZQ7MEAIDF0SwZc9HN0pQpU7Rq1SpJUklJiYqLixUQECBJKigokIeHh/z9/e33fXx85O1d/nAdO3bU22%2B/bT9XaWmpHnroITVt2lQvvfTSRT8ZAAAAV7voZmn69OmaPn26JGnZsmVKSUnRF198Ue2%2BcXFxGjt2rAYNGlTt9pSUFG3evFlNmza92HIAAMA5kCwZY/oF3t9%2B%2B63Wrl2rO%2B64w%2BxSAAAAqjD1mqWcnBw988wzmjNnjhYuXHjBx2dmZiorK8thrH79MIWFhbuoQuuoX9/sCirVret4azrPMLMrqFTxF%2BUuf2GxsWZXUC4mxvHWbGF8z5xTVJTZFVRq0cLx9n8YyZIxpjVLZWVlevLJJ/Xwww8r5iJ/AKampiolJcVhbMyYsRo3LsEVJbqMj4/ZFUi9epldQVU33WR2BRXizS6gKndJWuPdbG4WLza7AvfVu7fZFZQbOtTsCqp69lmzKzAdzZIxpjVLc%2BfOla%2Bvr4YNG3bR54iPj1dcXJzDWP36YSouNlqd6/j4yC3q%2BfxzsyuoVLdueaP0n/9IublmVyP1%2Bi3V7BIq1a9f3iitXSsdP252NdLMmWZXUC4mprxRGjpUysgwuxpp4kSzK6hUv355o7R6tXt8z3z1ldkVVGrRorxRev556eBBs6uR5s0zuwJcJNOapRUrVigzM1OdOnWSJBUWFkqS1q1bp82bN9foHOHh4QoPd1xyc4fGxB25w8/Qs%2BXmukldOVnn3%2BdSO35cynKDutLTza7AUUaGe9TkDn83Z3OX75ldu8yuoKqDB92zrkuIZMkY05qlTz/91OH%2BU089JUm8dQAAAC5Gs2SM6a%2BGAwAAcGcuSZYGDRp0zvdQknTO9186E4kSAAC1g2TJGJIlAAAAJ/hsOAAALI5kyRiaJQAALI5myRiW4QAAAJwgWQIAwOJIlowhWQIAAHCCZAkAAIsjWTKGZgkAAIujWTKGZgkAALiV/Px8JSUl6YsvvlBJSYm6d%2B%2BuqVOnKigoqNr916xZozlz5ujQoUMKCQnRoEGDNHr0aHl6ll9t1Lt3bx0%2BfNh%2BX5KWLFmiyMjIGtVDswQAgMVdbslSUlKSjhw5ojVr1qi0tFTjx49XcnKypk6dWmXf77//Xn/%2B85/12muv6dZbb9W%2Bffv06KOPKjAwUCNGjFBeXp727dunzz//XE2bNr2oerjAGwAAuI2CggKtWrVK48aNU0hIiBo2bKiJEydq2bJlKigoqLL/L7/8onvvvVfdunWTp6enIiMj1aNHD23atElSeTMVEhJy0Y2SRLIEAIDl1UaylJmZqaysLIexsLAwhYeHn/fYwsJCHT16tNptBQUFKi4uVnR0tH0sMjJShYWF2r9/v66%2B%2BmqH/Xv27KmePXs6nPurr75Sv379JEnbt29XQECAHnjgAe3atUtNmzZVQkKCunXrVuPnSrMEAIDF1UazlJqaqpSUFIexsWPHKiEh4bzHbtu2TcOHD692W2JioiQpMDDQPhYQECBJOnXqlNPz5uXlKTExUf7%2B/nrooYckSR4eHmrXrp3%2B9Kc/qUmTJvr000%2BVkJCg9957T%2B3btz9vrRLNEgAAuAjx8fGKi4tzGAsLC6vRsZ07d9aOHTuq3fbjjz/q9ddfV0FBgf2C7orlt%2BDg4HOec%2B/evRo3bpwaNmyod955x77vyJEjHfbr37%2B//vWvf2nNmjU0SwAAoFxtJEvh4eE1WnK7UC1btpSPj492796ta6%2B9VpK0Z88e%2Bfj4KCIiotpj1q9frz/96U8aMmSIJkyYIG/vyvZmwYIFat26tW688Ub7WFFRkfz8/GpcExd4AwAAtxEQEKDevXsrOTlZx44d07Fjx5ScnKy%2BffvK39%2B/yv5bt27VmDFjNHnyZE2aNMmhUZKkI0eOaNq0aTp06JBKSkq0ZMkSpaen66677qpxTSRLAABY3OX21gFTp07VzJkz1a9fPxUXF6t79%2B567rnn7Nv79Omjfv366fHHH9dbb72lkpISvfDCC3rhhRfs%2B3Ts2FFvv/22/vznP8vT01NDhw7VyZMnddVVV2nevHm68sora1wPzRIAABZ3uTVLwcHBSkpKUlJSUrXbP/74Y/uf33rrLafn8vX11dNPP62nn376outhGQ4AAMAJkiUAACzuckuW3A3JEgAAgBMkSwAAWBzJkjE0SwAAWBzNkjEswwEAADhBsgQAgMWRLBlDsgQAAOAEyRIAABZHsmQMzRIAABZHs2QMy3AAAABOkCwBAGBxJEvGWK5Z2rvX7Aoq%2BflJERHSL79Ip0%2BbW8t9vY6bW8CZvLwk1VWvm3Kl0lKzq5H%2BZvJfzpmKiipvzf6mkaTXXjO7gnJhYeW3EydKWVnm1iJJ48ebXUGl2Fhp6FApOVlKTze7GqVvsZldgl1AgBQjKeNP81RQYHY1UqzZBeCiWa5ZAgAAjkiWjKFZAgDA4miWjOECbwAAACdIlgAAsDiSJWNIlgAAAJwgWQIAwOJIloyhWQIAwOJoloxhGQ4AAMAJkiUAACyOZMkYmiUAACyOZskYluEAAACcIFkCAMDiSJaMIVkCAABwgmQJAACLI1kyhmYJAACLo1kyhmU4AAAAJ0iWAACwOJIlY0iWAAAAnCBZAgDA4kiWjKFZAgDA4miWjGEZDgAAwAmSJQAALI5kyRiSJQAAACdIlgAAsDiSJWNolgAAsDiaJWNYhgMAAHCCZAkAAIsjWTKGZAkAAMAJkiUAACyOZMmYC06WpkyZotjYWMXGxqpdu3aKiYmx34%2BNjdXmzZvt%2B37zzTe6%2Buqr9fPPP9vHhg0bptmzZ1c578aNG9WqVauLfBoAAOBcyspc/1Wb8vPzNXnyZHXu3FkdO3bUn//8Z506deqc%2B0%2BdOlVt27Z16EdSU1Pt2%2BfPn6%2BuXbuqffv2GjZsmPbu3XtB9VxwszR9%2BnSlp6crPT1d06ZNU5MmTez309PT1alTJ0lSVlaWJk2apDLaWQAAcAGSkpJ05MgRrVmzRmvXrtWRI0eUnJx8zv23b9%2BupKQkh34kPj5ekrR8%2BXK9%2B%2B67WrBggTZu3Kg2bdpo3LhxstlsNa6nVq5ZKisr08SJE3XPPffUxukBAMAFuJySpYKCAq1atUrjxo1TSEiIGjZsqIkTJ2rZsmUqKCiosn9RUZF27typtm3bVnu%2BDz74QEOHDlVUVJT8/Pw0YcIEHT58WBs3bqxxTbXSLM2ZM0cNGzbU3XffXRunBwAAl7HCwkIdOHDgnF/FxcWKjo627x8ZGanCwkLt37%2B/yrkyMjJUUlKiWbNm6aabblLPnj01b948%2B8rW7t27Hc7l4%2BOjiIgIZWRk1Lhel1/gnZaWppUrV2rZsmU6ceKEq0/vIDMzU1lZWQ5jBQVhCg0Nr9XHrSlfX8dbU3l5mV1BJU9Px1uzhbvH94skqUEDx1uzucv3Tf36jrdmi401u4JKMTGOtyYLCDC7gkp%2Bfo63/8tqIwmq7ndwWFiYwmvwM3Xbtm0aPnx4tdsSExMlSYGBgfaxgN%2B/saq7bunkyZO6/vrrNWzYML3yyiv66aefNGbMGHl6emrkyJE6deqU/fgK/v7%2Bys/PP2%2BdFVzaLB07dkxPPfWUXn31VQUHB1fbLPn6%2BqqkpKTKeGlpqXwvsKtITU1VSkqKw9iYMWM1blzChRVey5o0MbsCSaprdgFVBQebXUG5YcPMrqCqPn3MrsA99e5tdgXlhg41u4KqFi82uwJJknu0bI5atjS7AvPVRrNU3e/gsWPHKiHh/L%2BDO3furB07dlS77ccff9Trr7%2BugoICBQUFSZJ9%2BS24mt8bN998s26%2B%2BWb7/WuuuUYPPvigPvnkE40cOVIBAQEqLCx0OKawsNB%2B7ppwabO0YcMG5eTk6JFHHpEkewTWv39/Pf7443rsscd0xRVX6PDhw1WOPXDggJpcYFcRHx%2BvuLg4h7GCgjBVk9KZwte3vFE6fFgqKjK3logGueYWcCZPz/JGKS/PPV7PumKF2RVUatCgvFH6%2BGPp2DGzq3GvZKl3b2n1aun4cbOrkZxcaHrJxcSUN0pDh0oXsKxQWzIWbzG7BDs/v/JGad8%2B6fRps6txm/DPZar7HRwWFmb4vC1btpSPj492796ta6%2B9VpK0Z88e%2B/LZ2datW6fs7Gzde%2B%2B99rGioiL5%2B/tLkqKiorRr1y5169ZNklRcXKz9%2B/c7LM2dj0ubpQEDBmjAgAH2%2Bz///LO6d%2B%2BulStXqlmzZpLKG6eRI0eqW7du6tGjhzw8PPR///d/WrBggYYMGXJBjxceHl4l7tuxwz3%2BUZypqMgNaiotNbmAapSVuUddmZlmV1DVsWPuUZe3m70V2/Hj0lmxvynS082uoKqMDLeoq5rrb013%2BrR71nUp1cb/S6v7HewKAQEB6t27t5KTk/X6669LkpKTk9W3b197A3Qmm82mF198UVdeeaVuuOEGbd26Ve%2B8844mT54sSbr77rs1e/Zsde3aVS1bttSrr76q0NBQ%2B6v3a%2BKS/yS8/vrr9corr%2Bjtt9/W1KlTVVJSoiZNmmjYsGHnXL8EAAD/O6ZOnaqZM2eqX79%2BKi4uVvfu3fXcc8/Zt/fp00f9%2BvXT448/rh49emjy5Mn6y1/%2BoqNHjyo0NFQJCQn28Gbw4ME6efKkxowZo2PHjqldu3aaO3eufHx8alyPh%2B1C3mjgMnCOJVBT%2BPlJERHS/v3mJ0utwt1g6aKCl5dUt66Um%2BseydLf/mZ2BZXCw8uvoXr3XZKlM4WFlS8zLV7sHsnS%2BPFmV1ApNlbaskXq0MEtkqX0Le7zKyUgoHzpKyPDPZIlM18X8Mwzrj/nCy%2B4/pzuyk1%2BEgIAgNriDpeHXs7c5LXbAAAA7olkCQAAiyNZMoZkCQAAwAmSJQAALI5kyRiaJQAALI5myRiW4QAAAJwgWQIAwOJIlowhWQIAAHCCZAkAAIsjWTKGZgkAAIujWTKGZTgAAAAnSJYAALA4kiVjaJYAALA4miVjWIYDAABwgmQJAACLI1kyhmQJAADACZIlAAAsjmTJGJolAAAsjmbJGJbhAAAAnCBZAgDA4kiWjCFZAgAAcIJkCQAAiyNZMoZmCQAAi6NZMoZlOAAAACdIlgAAsDiSJWNIlgAAAJwgWQIAwOJIloyhWQIAwOJoloxhGQ4AAMAJyyVLrRpkmV1CJW9vSfUVUe%2B4VFJiailvvh9m6uOfKTRUuuce6cM1dZWdbXY10qghQ8wuoZKPT/ltjx5ScbG5tUjS8OFmV1AuKkoaOlT66itp1y6zq1H6FpvZJdgFBEgxkjIWb1FBgdnVSLEdPMwuoVJsrLRli2KGdpDS082uRrKZ931DsmQMyRIAAIATlkuWAACAI5IlY2iWAACwOJolY1iGAwAAcIJkCQAAiyNZMoZkCQAAwAmSJQAALI5kyRiaJQAALI5myRiW4QAAAJwgWQIAwOJIlowhWQIAAHCCZAkAAIsjWTKGZgkAAIu73Jql/Px8JSUl6YsvvlBJSYm6d%2B%2BuqVOnKigoqMq%2BU6ZM0apVqxzGCgsLddNNN2nBggUqKytTx44dZbPZ5OFR%2BUHP33zzjQIDA2tUD8twAADArSQlJenIkSNas2aN1q5dqyNHjig5ObnafadPn6709HT71%2BzZs1W3bl099dRTkqTdu3eruLhYaWlpDvvVtFGSaJYAALC8sjLXf9WWgoICrVq1SuPGjVNISIgaNmyoiRMnatmyZSooKHB67LFjxzRx4kQ988wzioqKkiRt375drVq1kq%2Bv70XXxDIcAAC4pAoLC3X06NFqtxUUFKi4uFjR0dH2scjISBUWFmr//v26%2Buqrz3ne5ORktW3bVv3797ePbd%2B%2BXadPn9bdd9%2BtX375RZGRkZowYYI6dOhQ43pplgAAsLjaSIIyMzOVlZXlMBYWFqbw8PDzHrtt2zYNHz682m2JiYmS5LBMFhAQIEk6derUOc956NAhrVy5Uh9%2B%2BKHDuL%2B/v6655holJiaqXr16WrRokR555BGtXLlSzZs3P2%2BtEs0SAACWVxvNUmpqqlJSUhzGxo4dq4SEhPMe27lzZ%2B3YsaPabT/%2B%2BKNef/11FRQU2C/orlh%2BCw4OPuc5ly5dqtjY2CrJU8W1SxUeeeQRLVu2TOvXr9cDDzxw3lolmiUAAHAR4uPjFRcX5zAWFhZm%2BLwtW7aUj4%2BPdu/erWuvvVaStGfPHvn4%2BCgiIuKcx61du1YjRoyoMv7qq6%2BqZ8%2Beat26tX2sqKhIfn5%2BNa6JZgkAAIurjWQpPDy8RktuFyogIEC9e/dWcnKyXn/9dUnl1yL17dtX/v7%2B1R5z/Phx7dmzR9ddd12VbTt37tTmzZv12muvqV69epo3b57y8vLUo0ePGtfEq%2BEAAIBbmTp1qiIiItSvXz/16tVLzZo105QpU%2Bzb%2B/Tpo7feest%2B/%2Beff5YkNWrUqMq5XnzxRbVo0UIDBgxQ586dlZaWpr///e8KCQmpcT0kSwAAWNzl9qaUwcHBSkpKUlJSUrXbP/74Y4f77dq1O%2Bc1UCEhIXrxxRcN1UOzBACAxV1uzZK7YRkOAADACZIlAAAsjmTJGJolAAAsjmbJGJbhAAAAnCBZAgDA4kiWjCFZAgAAcIJkCQAAiyNZMsZlzVJcXJyysrLk7e14yrZt2%2Br777%2B338/Pz5efn5%2B8vLwkSf369dP06dMVF8LvxH4AAA87SURBVBensWPHatCgQa4qCQAAiGbJKJcmS9OmTTtvs9OqVSvNnz9fnTt3duVDAwAA1AqW4QAAsDiSJWMu62YpMzNTWVlZDmNh3t618inIF%2BX3pUb7rYlCQ82uoFLFZxdewGcY1i4fH7MrqFSxjO3tJv80o6LMrqBcixaOtyYLCDC7gkp%2Bfo63pouNNbuCSjExjrfARfKw2Ww2V5woLi5OOTk58jnrF8/XX3%2BtwMBA%2B/1WrVrpnXfeqbIMdzHXLM2ePVspKSkOY2PHjFHCuHEX8QwAALCmNm1cf84ffnD9Od2VS//7OnXq1Et6gXZ8fLzi4uIcxsK8vaXjxy9ZDU55eUl160q5uVJpqamlfLiuvqmPf6aQEKlHD%2Bmzz6QTJ8yuRrqny69ml1DJ27s8BszOlkpKzK5GmjLF7ArKtWghPfus9Pzz0sGDZlejjD/NM7sEOz8/qWVLad8%2B6fRps6uRYoZ2MLuESjEx0uLF0tChUkaG2dVIW7aY9tAswxnjJln/xQkPD6%2B65JaV5R6/ZM5UWmp6TdnZpj58tU6ccJO6iovNrqCqkhL3qGvXLrMrcHTwoFvUVFBgdgVVnT7tJnWlp5tdQVUZGe5ZFy4bl3WzBAAAzo9kyRjewRsAAMAJlyVLX3zxRY3227Fjh6HjAQDAhSFZMoZlOAAALI5myRiW4QAAAJwgWQIAwOJIlowhWQIAAHCCZAkAgP/f3v3HRFnHcQB/n8chiBs/FJsIjTJI50qJeQQpBoGuIBAoz9LQmqIwFDfbKmMDAodrWiq0SZRAZKY4ZaKkRJDTAiIgiCyHoYvEQsNcyQ8P7vrDeXEKDxgPfJ/u3q%2BNjXueO%2B7t48Pxuc/z/X7PwrGzNDosloiIiCwci6XR4WU4IiIiIgnsLBEREVk4dpZGh50lIiIiIgnsLBEREVk4dpZGh8USERGRhWOxNDq8DEdEREQkgZ0lIiIiC8fO0uiws0REREQkgZ0lIiIiC8fO0uiwWCIiIrJwLJZGh5fhiIiIiCSws0RERGTh2FkaHXaWiIiIiCSws0RERGTh2FkaHRZLREREFo7F0ujwMhwRERGRBHaWiIiILBw7S6PDzhIRERGRBHaWiIiILBw7S6PDzhIREZGFMxjk/xoP3d3d0Ol0OHz4sOT9Ghsb8fzzz8PHxwfBwcEoKioy23/kyBGEhoZi3rx5iI6ORkNDwz3lYLFEREREitPS0oIVK1bgu%2B%2B%2Bk7zf9evXERcXh6VLl6K2thZbt25FZmYmmpqaAAA1NTVIT0/Htm3bUFtbi4iICMTHx6O7u3vEWVgsERERWbj/W2epqqoKq1atQlRUFNzc3CTvW1ZWBicnJ6xYsQI2Njbw9/fHs88%2Bi3379gEAioqKEBYWBl9fX2g0GqxevRrOzs4oLS0dcR6OWSIiIqJx1dPTg99//33Qfa6urpg1axYqKysxceJE5OXlSf6slpYWeHt7m2176KGHcOjQIQDA%2BfPnERMTc9f%2Bn376acR5WSwRERFZuLHoBHV0dODKlStm21xdXTFt2rRhH9vY2IjY2NhB97333nsICQkZcY4bN27A3t7ebJudnR26urpGtH8kLK9YcnUVncCko6MDB7KyoNPpRnTyjKX4eKFPb6ajowNZWQcUcVxu8RAdwMTsnPFQQK7KStEJAAw4LhkZijhnfEQHGEBxv09Go%2BgEJqbz5sQJZRwbgcbivyUr6wCys7PNtiUmJmLDhg3DPtbPzw/nzp2TJYe9vT3%2B%2Busvs209PT1wcHAw7e/p6blrv7Oz84ifg2OWxtCVK1eQnZ19V%2BVt7XhchsZjMzgel6Hx2AyNx2Zs3Z6lNvBLp9ONew5vb2%2B0tLSYbTt//jy8vLwAAF5eXpL7R4LFEhEREd2zadOmYc6cOWZfIjp4oaGhuHr1KvLz86HX61FdXY2SkhLTOKXnnnsOJSUlqK6uhl6vR35%2BPv744w%2BEhoaO%2BDlYLBEREdH/SlhYGPbs2QMAcHZ2xt69e3HixAn4%2BfkhOTkZycnJePzxxwEA/v7%2BSElJQWpqKrRaLY4fP47c3Fw4OTmN%2BPksb8wSERERWYyKioq7th0/ftzs9iOPPIJPP/10yJ8RGRmJyMjI/5xBnZqamvqfH03DcnBwgFarNQ00o1t4XIbGYzM4Hpeh8dgMjceG5KAyGhU0dYGIiIhIYThmiYiIiEgCiyUiIiIiCSyWiIiIiCSwWCIiIiKSwGKJiIiISAKLJSIiIiIJLJaIiIiIJLBYIiIiIpLAYomIiIhIAoslIiIiIgn8IF2ZdXZ24ujRo7h06RKSkpJQW1uLoKAg0bGEeeONN4a9T2Zm5jgkUZ7u7m7Y2NhAo9GgoaEBn332GRwdHREREQEPDw/R8RRHq9Xim2%2B%2BER2DiKwQiyUZ/fDDD3j55Zfx4IMP4ty5c4iNjUVSUhJSUlIQExMjOp5wx44dQ3h4uOgYilBdXY34%2BHg4Ojpiy5Yt2Lx5M/z9/XHz5k3k5eWhoKAAc%2BbMER1TiKEK7K6uLtM%2BayywZ82aBZVKZbbN1tYWbm5uiImJwZo1awQlU4bi4uJh77N06dJxSEKWiB%2BkK6OVK1ciOjoa0dHRmD9/Pmpra3H69GlkZmaitLRUdDzhbh8TApYvX46IiAhcu3YNOTk52LZtG5555hkAQFFREUpKSvDRRx8JTinGSy%2B9hPr6eixevBh2dnam7QOLbWsslgbrqvX39%2BPixYvYu3cvVq1ahZUrVwpIpgzBwcGS%2B1UqFb744otxSkOWhsWSjLRaLaqqqqBWq80uGfj6%2BqKurk5wOvF4GeVft8%2BJrq4u%2BPr6orm5GWq1GsCtP4ABAQGoqakRnFIMg8GArKwslJeXY/v27Xj44YcB8PyRUl9fj5SUFJSUlIiOQmSROMBbRi4uLmhtbTXb1traiqlTpwpKREplb2%2BPzs5OTJo0CWlpaejv7zft%2B/nnn%2BHg4CAwnVgTJkxAUlIStmzZgoSEBOzbt090JMWbO3cuLl26JDqGUKmpqaIjkAVjsSSjF198EevWrcPBgwfR19eH0tJSJCUlQafTiY5GCrNkyRKsX78evb29WLZsGWxtbQEA%2Bfn5eOWVV/DCCy8ITiiev78/Dh48iIqKCiQkJMBgMIiOpFhGoxE2NtY9BPXo0aOiI5AFs%2B7fLpnFxsZCrVajoKAABoMBu3btgk6nw%2BrVq0VHE6a9vd30vcFgwOXLl3HnlV83N7fxjiXc008/DVtbW1ORdFtjYyPi4uIQGxsrKJmyTJkyBR988AH27NmDCxcuiI6jWOXl5Zg5c6boGEJxRAmNJY5ZojE1cAaP0Wg0m81z%2B/aPP/4oKp4wjz32GOrr60XHUKS4uDi8//77omMoTnZ29l3b%2Bvv70d7ejpMnT2LHjh146qmnBCRThrlz5%2BLDDz%2BULJrmz58/jonIkrCzJKOhpjxrNBq4uLjgySefxLx588Y5lVicfTI4vkcZ2rfffis6giINNuB/4sSJmD59OnJzc62%2BEOjt7ZWcDWitb8xIHiyWZKTRaHD48GGEhITAw8MD7e3tKCsrQ0BAAP78808UFBRg69atpini1mDGjBmiIyjSnevlEA2nsLBQdARFs7e3R0NDg%2BgYZKFYLMno8uXL2LlzJ0JCQkzbTp06hf3792P37t2oqalBRkaGVRVLAFBSUgK9Xo/o6GhcvXoVmzZtwtmzZ7FkyRK89dZb0Gg0oiOOu%2B7u7mEvmVhrV66vr2/YBQa5uOC/cnNzsXbtWtExhOMbEBpLLJZk1NjYiJycHLNtCxcuxObNmwEAfn5%2BVje9t7i4GOnp6Xj11VcB3FpM8Pr169ixYwcKCwuRk5ODxMREwSnHn0ajscp/90jo9Xrs3r17yP0qlcoqi6WBkyUGysnJQXh4OIxGo1VOlriNl7ZpLLFYkpGLiwtOnz6NRYsWmbZVVVXByckJANDW1gZHR0dR8YT4%2BOOP8e677yIwMBA3b97E559/jl27diEoKAienp5Yv369VRYNNjY2iIqKEh1Dkezs7FBRUSE6huKEhISYCoKBkyWMRiOCgoKsfkzOo48%2Bana7p6fHbAV4otFgsSSjDRs2IDExEYsXL4a7uzt%2B/fVXlJeXIy0tDa2trVb5cQQXL17EwoULAQDNzc3o6%2BszDUT19PRER0eHyHjC8F3w0Hg5ZXC5ubl4/fXXsWzZMkRHRwO4dR5FRkZyjSEA33//vdntwMBArvhOsuGilDIKCwtDYWEhJk2ahLNnz2Ly5Mn45JNPEB4ejgkTJiAlJQXr1q0THXNcDSwKGhsbMXPmTEyePBkAcO3aNatdSC8iIkJ0BMXq7e0VHUGRnnjiCRw5cgR1dXV455134OzsDHd3d6jVasyYMcPqJ1Pc%2BQaEb0hITiyWZPTLL79g//79aGtrQ29vLy5cuICMjAwsWLAAnp6eZgO/rYW3tze%2B%2BuorAMDJkyexYMEC074zZ87Ay8tLVDSh0tLSREdQLP6RG9rUqVORl5eHBx54AFFRUWhqahIdSTHu7EiyQ0lyss639WPkzTffhNFohLOzMzo7OzF79mwUFxdb9Qrea9aswcaNGzF9%2BnT89ttv2L59OwDg7bffxoEDB5Ceni44ISkNx5kMrq6uDr6%2BvlCpVEhMTIRWq8WmTZug1%2BtFRyOyeCyWZNTc3Iwvv/wS7e3t2LlzJ5KTkxEYGGi1M74AwMnJCbm5uWhoaEBQUBDc3d0BAE1NTXjttdesbhkFov9q7dq1Zqu%2Ba7VaHDp0CGfOnBGYSjnuXHJCr9fftQSFNc6iJHnw405kFBAQgK%2B//ho3btxAeHg4KisrAdz6QNCqqirB6cTgx3rQvZo9e/awU%2BCtcQ0qHx8fLrooITg4WHK/SqWyyvOG5MHOkozuv/9%2BnDp1CosWLYLBYEBbWxtsbW3R19cnOpowrMXpXnENqsFxDI40LjdBY4nFkozi4uKwceNGHDt2DDqdDsuXL4darbbqD7fkCzzdK65BNTiu%2Bk4kDoslGQUHB6OsrAxTpkxBQkICPD098ffff1v1dXK%2BwNO9YjdycOy4EYnDYklm9913n%2Bl7Dl7mCzzdO65BNTh23IjE4QBvGlMc4E0kDw7wJhKHi1LSmGItTiQPdtyIxGGxRGOKL/BE8uCq70Ti8DIcERERkQR2loiIiIgksFgiIiIiksBiiYiIiEgCiyUiIiIiCSyWiIiIiCSwWCIiIiKSwGKJiIiISAKLJSIiIiIJ/wAyNLMd9XFxlwAAAABJRU5ErkJggg%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>age</th>\n",
" <th>sex</th>\n",
" <th>on_thyroxine</th>\n",
" <th>query_on_thyroxine</th>\n",
" <th>on_antithyroid_medication</th>\n",
" <th>sick</th>\n",
" <th>pregnant</th>\n",
" <th>thyroid_surgery</th>\n",
" <th>I131_treatment</th>\n",
" <th>query_hypothyroid</th>\n",
" <th>query_hyperthyroid</th>\n",
" <th>lithium</th>\n",
" <th>goitre</th>\n",
" <th>tumor</th>\n",
" <th>hypopituitary</th>\n",
" <th>psych</th>\n",
" <th>TSH</th>\n",
" <th>T3</th>\n",
" <th>TT4</th>\n",
" <th>T4U</th>\n",
" <th>FTI</th>\n",
" <th>Class</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>41.0</td>\n",
" <td>F</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>1.30</td>\n",
" <td>2.5</td>\n",
" <td>125.0</td>\n",
" <td>1.14</td>\n",
" <td>109.0</td>\n",
" <td>negative</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>23.0</td>\n",
" <td>F</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>4.10</td>\n",
" <td>2.0</td>\n",
" <td>102.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>negative</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>46.0</td>\n",
" <td>M</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>0.98</td>\n",
" <td>NaN</td>\n",
" <td>109.0</td>\n",
" <td>0.91</td>\n",
" <td>120.0</td>\n",
" <td>negative</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>70.0</td>\n",
" <td>F</td>\n",
" <td>t</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>0.16</td>\n",
" <td>1.9</td>\n",
" <td>175.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>negative</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>70.0</td>\n",
" <td>F</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>f</td>\n",
" <td>0.72</td>\n",
" <td>1.2</td>\n",
" <td>61.0</td>\n",
" <td>0.87</td>\n",
" <td>70.0</td>\n",
" <td>negative</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
" </div>\n",
"</div>\n",
"</div>"
],
"text/plain": [
"<pandas_profiling.ProfileReport at 0x2704954bcf8>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"profile(df)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"В признаке **sex** 4% пропусков, выделим их в отдельный класс. Также удалим одинаковые строки."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"df.drop_duplicates(inplace=True)\n",
"df['sex'] = df['sex'].replace(np.NaN, 'NA')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Заполнять пропуски в количественных признаках будем медианой, так как, к сожалению, никакой осмысленной информации о значении переменных у нас нет. Так как заполнять пропуски полагается только информацией с трейна, а мы собираемся использовать пайплайны, то напишем подходящий класс-трансформер. Заодно добавим в него нормализацию наших численных признаков."
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"class NumericTransformer(BaseEstimator, TransformerMixin):\n",
" def __init__(self, cat_cols, numeric_cols):\n",
" self.__imputer = Imputer(strategy='median')\n",
" self.__scaler = StandardScaler()\n",
" self.__cat = cat_cols\n",
" self.__num = numeric_cols\n",
" \n",
" def fit(self, X, y=None):\n",
" self.__imputer.fit(X[self.__num])\n",
" self.__scaler.fit(X[self.__num])\n",
" return self\n",
" \n",
" def fit_transform(self, X, y=None):\n",
" X_ = X.copy()\n",
" X_[self.__num] = self.__imputer.fit_transform(X_[self.__num])\n",
" X_[self.__num] = self.__scaler.fit_transform(X_[self.__num])\n",
" return X_\n",
" \n",
" def transform(self, X):\n",
" X_ = X.copy()\n",
" X_[self.__num] = self.__imputer.transform(X_[self.__num])\n",
" X_[self.__num] = self.__scaler.transform(X_[self.__num])\n",
" return X_\n",
" \n",
"num_transform = NumericTransformer(categorical_cols, numeric_cols)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Закодируем все категории числами при помощи `LabelEncoder`."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"for col in categorical_cols:\n",
" df[col] = LabelEncoder().fit_transform(df[col])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Разделим датасет на матрицу предикторов и вектор меток классов."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"X = df.drop(columns=['Class'])\n",
"y = df['Class']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Для кодирования категориальных признаков будем использовать `OneHotEncoder`."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"onehot_enc = OneHotEncoder(categorical_features=categorical_indices, sparse=False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"В качестве метрики будет использовать $F$-меру, большие значения которой означают хороший баланс метрик _precision_ и _recall_."
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
"Pipeline(memory=None,\n",
" steps=[('numerictransformer', NumericTransformer(cat_cols=None, numeric_cols=None)), ('onehotencoder', OneHotEncoder(categorical_features=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15],\n",
" dtype=<class 'numpy.float64'>, handle_unknown='error',\n",
" n_values='auto', sparse=False)), ('logis...ty='l2', random_state=None, solver='liblinear', tol=0.0001,\n",
" verbose=0, warm_start=False))])"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lr = LogisticRegression(C=1e42) # w/o regularization\n",
"\n",
"#transform = make_pipeline(num_transform, onehot_enc)\n",
"\n",
"estimator = make_pipeline(num_transform, onehot_enc, lr)\n",
"\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y)\n",
"lr.fit(X_train, y_train)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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