Data Quality.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calidad y Perfilamiento de Datos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Modulo y funciones a usar  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Ejercicio esta hecho sobre python 3.5, pero se puede usar python 2.7\n",
    "\n",
    "# importando modulos que se van a usar\n",
    "import os, sys\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing pandas_profiling\n",
    "# Download from this link = https://pypi.python.org/pypi/pandas-profiling\n",
    "\n",
    "import pandas_profiling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Funciones adicionales\n",
    "# funcion de otra persona http://stackoverflow.com/questions/26266362/how-to-count-the-nan-values-in-the-column-in-panda-data-frame\"\n",
    "def missing_values_table(df): \n",
    "        mis_val = df.isnull().sum()\n",
    "        mis_val_percent = 100 * df.isnull().sum()/len(df)\n",
    "        mis_val_table = pd.concat([mis_val, mis_val_percent], axis=1)\n",
    "        mis_val_table_ren_columns = mis_val_table.rename(\n",
    "        columns = {0 : 'Missing Values', 1 : '% of Total Values'})\n",
    "        return mis_val_table_ren_columns \n",
    "#Define a generic function using Pandas replace function\n",
    "def coding(col, codeDict):\n",
    "    colCoded = pd.Series(col, copy=True)\n",
    "    for key, value in codeDict.items():\n",
    "        colCoded.replace(key, value, inplace=True)\n",
    "    return colCoded\n",
    "# funcion para pasar de semanas a dias\n",
    "def weeks_to_days(value):\n",
    "    return float(value)/7.\n",
    "# funcion para obtener las semanas como float\n",
    "def two_values_to_float_weeks(value1,value2):\n",
    "    finalNumber = float(value1)+weeks_to_days(value2)\n",
    "    return(\"%.2f\" % round(finalNumber,2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Poner path de archivo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Escriba el PATH directorio / carpeta de su archivo de Motivos de incumplimientoC:\\Users\\lc.mojica639\\Documents\\Científicas de Datos\\Bootcamp\\\n"
     ]
    }
   ],
   "source": [
    "pathArchivos = input(\"Escriba el PATH directorio / carpeta de su archivo de Motivos de incumplimiento\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\lc.mojica639\\\\Documents\\\\Científicas de Datos\\\\Bootcamp\\\\'"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pathArchivos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "# importar archivo de nacimientos\n",
    "dfMotInc = pd.read_excel(pathArchivos + \"Motivos Incumplimiento.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Operacion</th>\n",
       "      <th>Puerto</th>\n",
       "      <th>Categoria</th>\n",
       "      <th>Servicio</th>\n",
       "      <th>Inicio</th>\n",
       "      <th>Fin</th>\n",
       "      <th>Trafico</th>\n",
       "      <th>Observaciones</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2344</td>\n",
       "      <td>BUN</td>\n",
       "      <td>Hogar - Textil</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-05 13:54:59.000</td>\n",
       "      <td>2015-03-09</td>\n",
       "      <td>Marítimo</td>\n",
       "      <td>// 2015-03-27 10:55:52 a.m. Entes de Control ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2406</td>\n",
       "      <td>CTG</td>\n",
       "      <td>Frescos</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-06 17:29:24.923</td>\n",
       "      <td>2015-02-06</td>\n",
       "      <td>Marítimo</td>\n",
       "      <td>2015-02-13 09:40:46 a.m. Proveedores : FEB 9 S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2406</td>\n",
       "      <td>CTG</td>\n",
       "      <td>Frescos</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-06 17:29:24.923</td>\n",
       "      <td>2015-02-06</td>\n",
       "      <td>Marítimo</td>\n",
       "      <td>2015-02-13 09:40:46 a.m. Proveedores : FEB 9 S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2449</td>\n",
       "      <td>CTG</td>\n",
       "      <td>PGC Alimentos</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-09 11:08:34.997</td>\n",
       "      <td>2015-02-02</td>\n",
       "      <td>Marítimo</td>\n",
       "      <td>2015-02-18 09:03:58 a.m. EXITO : FEBRERO 18 SE...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2450</td>\n",
       "      <td>CTG</td>\n",
       "      <td>PGC Alimentos</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-09 11:11:24.010</td>\n",
       "      <td>2015-02-02</td>\n",
       "      <td>Marítimo</td>\n",
       "      <td>2015-02-13 09:47:59 a.m. Entes de Control : FE...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Operacion Puerto       Categoria              Servicio  \\\n",
       "0       2344    BUN  Hogar - Textil  Importación Marítima   \n",
       "1       2406    CTG         Frescos  Importación Marítima   \n",
       "2       2406    CTG         Frescos  Importación Marítima   \n",
       "3       2449    CTG   PGC Alimentos  Importación Marítima   \n",
       "4       2450    CTG   PGC Alimentos  Importación Marítima   \n",
       "\n",
       "                   Inicio        Fin   Trafico  \\\n",
       "0 2015-02-05 13:54:59.000 2015-03-09  Marítimo   \n",
       "1 2015-02-06 17:29:24.923 2015-02-06  Marítimo   \n",
       "2 2015-02-06 17:29:24.923 2015-02-06  Marítimo   \n",
       "3 2015-02-09 11:08:34.997 2015-02-02  Marítimo   \n",
       "4 2015-02-09 11:11:24.010 2015-02-02  Marítimo   \n",
       "\n",
       "                                       Observaciones  \n",
       "0   // 2015-03-27 10:55:52 a.m. Entes de Control ...  \n",
       "1  2015-02-13 09:40:46 a.m. Proveedores : FEB 9 S...  \n",
       "2  2015-02-13 09:40:46 a.m. Proveedores : FEB 9 S...  \n",
       "3  2015-02-18 09:03:58 a.m. EXITO : FEBRERO 18 SE...  \n",
       "4  2015-02-13 09:47:59 a.m. Entes de Control : FE...  "
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Mirando los 10 primeros\n",
    "dfMotInc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7777, 8)"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dimensiones dataframe\n",
    "dfMotInc.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Operacion                 int64\n",
       "Puerto                   object\n",
       "Categoria                object\n",
       "Servicio                 object\n",
       "Inicio           datetime64[ns]\n",
       "Fin              datetime64[ns]\n",
       "Trafico                  object\n",
       "Observaciones            object\n",
       "dtype: object"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Tipos de variables\n",
    "dfMotInc.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Operacion</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7777.000000</td>\n",
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       "      <th>mean</th>\n",
       "      <td>62043.738460</td>\n",
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       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>25283.893732</td>\n",
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       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2344.000000</td>\n",
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       "      <th>25%</th>\n",
       "      <td>51984.000000</td>\n",
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       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>70491.000000</td>\n",
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       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>80166.000000</td>\n",
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      "text/plain": [
       "          Operacion\n",
       "count   7777.000000\n",
       "mean   62043.738460\n",
       "std    25283.893732\n",
       "min     2344.000000\n",
       "25%    51984.000000\n",
       "50%    70491.000000\n",
       "75%    80166.000000\n",
       "max    93665.000000"
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   "source": [
    "dfMotInc.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "scrolled": true
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   "outputs": [
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       "        <h1>Overview</h1>\n",
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       "    <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>8 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Number of observations</th>\n",
       "                <td>7777 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Total Missing (%)</th>\n",
       "                <td>0.1% </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Total size in memory</th>\n",
       "                <td>486.1 KiB </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Average record size in memory</th>\n",
       "                <td>64.0 B </td>\n",
       "            </tr>\n",
       "            </tbody>\n",
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       "    <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>1 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Categorical</th>\n",
       "                <td>5 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Boolean</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Date</th>\n",
       "                <td>2 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Text (Unique)</th>\n",
       "                <td>0 </td>\n",
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       "            <tr>\n",
       "                <th>Rejected</th>\n",
       "                <td>0 </td>\n",
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       "                <td>0 </td>\n",
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       "    <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_Fin\"><code>Fin</code></a> has 79 / 1.0% missing values <span class=\"label label-default\">Missing</span></li><li><a href=\"#pp_var_Observaciones\"><code>Observaciones</code></a> has a high cardinality: 3448 distinct values  <span class=\"label label-warning\">Warning</span></li><li>Dataset has 4329 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_Categoria\">Categoria<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>7</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=\"minifreqtable1123616033823342363\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>PGC Alimentos</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: 42.9%\">\n",
       "            3340\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>Entretenimiento</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:49%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 20.9%\">\n",
       "            1623\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>Frescos</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:34%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 14.3%\">\n",
       "            1114\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"other\">\n",
       "    <th>Other values (4)</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:51%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 21.9%\">\n",
       "            1700\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable1123616033823342363, #minifreqtable1123616033823342363\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable1123616033823342363\">\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\">PGC Alimentos</td>\n",
       "        <td class=\"number\">3340</td>\n",
       "        <td class=\"number\">42.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Entretenimiento</td>\n",
       "        <td class=\"number\">1623</td>\n",
       "        <td class=\"number\">20.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:49%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Frescos</td>\n",
       "        <td class=\"number\">1114</td>\n",
       "        <td class=\"number\">14.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:34%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Hogar - Textil</td>\n",
       "        <td class=\"number\">847</td>\n",
       "        <td class=\"number\">10.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:26%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Fruver</td>\n",
       "        <td class=\"number\">508</td>\n",
       "        <td class=\"number\">6.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:16%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">PGC Licores</td>\n",
       "        <td class=\"number\">338</td>\n",
       "        <td class=\"number\">4.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:11%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Activos Fijos</td>\n",
       "        <td class=\"number\">7</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_Fin\">Fin<br/>\n",
       "            <small>Date</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>788</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>10.1%</td>\n",
       "                </tr>\n",
       "                <tr class=\"alert\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>1.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"alert\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>79</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",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>1900-01-01 00:00:00</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>2019-02-22 00:00:00</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-3755072596983024755\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAABXpJREFUeJzt2l9IU30cx/HPWeFCcEYzRuVJsTSy2Rab0YU2KQYjCiKIuhCk27DopqvgER60LoKK/lyHBAlCQUTwiFgJXqUX/YOImsvOEP/0j5WUuGff56I8lNq3R546Z%2Bv5vO52fjv7ncNvb7fjmSEiAoel02mYpun0tFTgLMtCeXm5o3MudXS2L0pKSgB8PmGfz%2BfGIVAByWQyME3Tft84yZVADMMAAPh8PgbyG4ue%2BGvR%2Bwx1JL47Nvu%2BcZLH8RmJCggDIVIwECIFAyFSMBAiBQMhUjAQIgUDIVIwECIFAyFSMBAiBQMhUjAQIgUDIVIwECIFAyFSMBAiBQMhUjAQIgUDIVIwECIFAyFSMBAiBQMhUjAQIgUDIVIwECIFAyFSMBAiBQMhUjAQIgUDIVIwECIFAyFSMBAiBQMhUjAQIgUDIVIwECIFAyFSMBAiBQMhUjAQIgUDIVIwECLFUjcmFREAQCaTmTcW%2B7N30a/X/0f8Px8T/Xx/T08tep%2BF3hOz22bfN04yxIVZ0%2Bk0TNN0eloqcJZloby83NE5XQkkl8thdHQUJSUlMAxjwedkMhmYpgnLsuDz%2BRw%2BQvqVFru2IoL3799j9erV8HicvSpw5SuWx%2BP5138JfD4fA/lNLWZtS0tLf/HRLIwX6UQKBkKkyNtAvF4v2tra4PV63T4U%2BskKaW1duUgnKhR5%2BwlClA8YCJHCsUCOHj2KyspKGIaBx48f29unp6fR2tqK6upqbNq0Cc3NzfZYT08PIpEItmzZgmAwiM7OTnusqakJVVVVCIfDCIfDOHv2rFOnQnN8%2BvQJe/fuRU1NDcLhMBKJBF68eAEAmJiYQCKRQHV1NYLBIAYGBuz9tLG8WV9xSH9/v1iWJRUVFfLo0SN7%2B7Fjx%2BTIkSOSy%2BVERGR0dFRERHK5nKxYsUIePHggIiKpVEq8Xq9kMhkREYnFYnLz5k2nDp8UHz9%2BlFu3btlreOHCBYnH4yIicujQIWlraxMRkXv37snatWtlZmbmh2P5sr6O3Sjcvn37vG1TU1O4fPky0um0fUd91apV3zzn3bt3AD7fffX7/QXxn4//m2XLlmHXrl32423btuHcuXMAgO7ubqRSKQBAfX09AoEABgYG0NTUpI7lC1evQZLJJPx%2BP9rb2xGNRtHY2Ii%2Bvj4AgGEY6O7uxr59%2B1BRUYGGhgZ0dnaiqKjI3v/48eOoq6vDgQMHMDw87NZp0Bznz5/Hnj178Pr1a%2BRyOaxcudIeq6ysxMuXL9WxWfmwvq4GMjMzg%2BHhYdTW1mJoaAgXL17EwYMHMTk5iWw2i1OnTuHGjRsYGRlBX18fWlpa8ObNGwDAlStX8OTJEzx8%2BBCNjY3YvXu3m6dCX5w8eRLPnj1DR0cHAMz7rZ18dVdBG8ub9XX6O93X1yCTk5Pi8Xgkm83a4/X19XLnzh0ZHByUjRs3frNvNBqV27dvL/i6Xq9XXr169esOnH7o9OnTEolE5O3bt/a24uJimZiYsB/Pru%2BPxuZya31d/QQpKyvDzp070dPTAwAYGRlBKpXChg0bYJom0uk0nj59CgB4/vw5kskkampqkM1mMT4%2Bbr/OtWvXEAgE4Pf7XTkPAs6cOYOuri709vZi%2BfLl9vb9%2B/fj0qVLAIDBwUGMjY2hoaFBHcur9XWqxMOHD8uaNWtkyZIlEggEZN26dSIikkwmJRaLSTAYlFAoJNevX7f3uXr1qgSDQdm8ebPU1dVJV1eXiIh8%2BPBBIpGIPbZjxw65f/%2B%2BU6dCc1iWJQCkqqpKQqGQhEIh2bp1q4iIjI2NSTwel/Xr10ttba3cvXvX3u97Y/m0vvypCZGCd9KJFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESPEPgeEIadT33o0AAAAASUVORK5CYII%3D\">\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-3755072596983024755,#minihistogram-3755072596983024755\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-3755072596983024755\">\n",
       "    <img 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KyMmsGKioqSnv37q3R9759%2B7zanK4PqebsWDWHw6Hw8HCvBQAA/Hz4bcDq2rWrNm3a5LVu8%2BbNat26tSQpOjpaUVFRys7OtrZXVlZq1apV6tKliyQpLi5Obrdbn3zyidVm7dq1crvdXm1Wr16tyspKq01WVpZcLpfXRfUAAADV/DZg3X///crLy9OkSZP09ddfa9GiRZo1a5ZGjhwp6fvTd6mpqZo0aZIyMjJUVFSk5ORkhYWFafDgwZK%2Bn/Hq06ePUlJSlJeXp7y8PKWkpCgxMVFt27aV9P1tHBwOh5KTk1VUVKSMjAxNmjSJTxACAIBa%2Be1tGjp16qSMjAyNHz9eTzzxhKKjozVt2jTdfffdVpsHHnhAR48e1YgRI1ReXq7OnTsrKytLjRo1stosXLhQY8aMsT5tOGDAAM2YMcPa7nQ6lZ2drZEjR6pjx45q3Lix0tLSlJaWVn/FAgAAvxJguCX5OVdRUSGn0ym32831WACAetNxQqavh1Bn%2BU/1sb1PX77/%2Bu0pQgAAgPMVAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwmd8GrIkTJyogIMBriYqKsrYbYzRx4kS5XC41aNBA3bt31xdffOHVR3l5uZKSkuR0OuV0OpWUlKSDBw96tdmwYYO6deumBg0a6NJLL9UTTzwhY0y91AgAAPyT3wYsSbrmmmtUUlJiLRs2bLC2Pfvss5oyZYpmzJihdevWKSoqSr1799ahQ4esNoMHD9b69euVmZmpzMxMrV%2B/XklJSdb2iooK9e7dWy6XS%2BvWrdP06dOVnp6uKVOm1GudAADAvwT5egA/RVBQkNesVTVjjKZNm6YJEyZo4MCBkqTXXntNkZGRWrRokYYNG6aNGzcqMzNTeXl56ty5syRp9uzZiouL06ZNm9S2bVstXLhQx44d07x58%2BRwOBQTE6PNmzdrypQpSktLU0BAQL3WCwAA/INfz2Bt2bJFLpdL0dHRuvPOO7V161ZJ0rZt21RaWqr4%2BHirrcPhULdu3ZSTkyNJys3NldPptMKVJN10001yOp1ebbp16yaHw2G1SUhI0J49e7R9%2B/Zax%2BXxeFRRUeG1AACAnw%2B/DVidO3fWP//5T73//vuaPXu2SktL1aVLF3377bcqLS2VJEVGRnrtExkZaW0rLS1VREREjX4jIiK82pyuj%2BpttZk8ebJ1XZfT6VSrVq1%2BfKEAAMDv%2BG3A6tu3r26//XZ16NBBvXr10rJlyyR9fyqw2qmn8IwxXutOd4rvbG2qL3A/0%2BnB8ePHy%2B12W0txcfH/UBkAAPB3fhuwTtWwYUN16NBBW7Zssa7LOnWWqayszJqBioqK0t69e2v0s2/fPq82p%2BtDqjk79kMOh0Ph4eFeCwAA%2BPm4YAKWx%2BPRxo0b1aJFC0VHRysqKkrZ2dnW9srKSq1atUpdunSRJMXFxcntduuTTz6x2qxdu1Zut9urzerVq1VZWWm1ycrKksvlUps2beqnMAAA4Hd8ErAWLFigY8eO/aQ%2Bxo0bp1WrVmnbtm1au3atfvvb36qiokJDhgxRQECAUlNTNWnSJGVkZKioqEjJyckKCwvT4MGDJUnt2rVTnz59lJKSory8POXl5SklJUWJiYlq27atpO9v4%2BBwOJScnKyioiJlZGRo0qRJfIIQAACckU8CVlpamqKiojRs2DCvGaT/xa5du3TXXXepbdu2GjhwoEJCQpSXl6fWrVtLkh544AGlpqZqxIgR6tixo3bv3q2srCw1atTI6mPhwoXq0KGD4uPjFR8fr2uvvVbz58%2B3tjudTmVnZ2vXrl3q2LGjRowYobS0NKWlpf20/wAAAHBBCzA%2BuC358ePHtXTpUs2bN0%2BZmZm66qqrdO%2B99%2Br3v/%2B9mjdvXt/DOecqKirkdDrldru5HgsAUG86Tsj09RDqLP%2BpPrb36cv3X5/MYAUFBWngwIFaunSpdu7cqSFDhujVV19Vy5YtNXDgQC1btoyvowEAAH7L5xe5R0VFqWfPnurevbsCAgKUn5%2BvwYMH66qrrtLHH3/s6%2BEBAAD8z3wWsPbv369p06bpuuuuU9euXVVWVqZ33nlHO3bs0O7du5WYmKjf//73vhoeAADAj%2BaT7yL8zW9%2Bo%2BXLlys6Olp//OMfNWTIEK9rry6%2B%2BGI98MADeuGFF3wxPAAAgJ/EJwErPDxcK1as0C233FJrmxYtWmjLli31OCoAAAB7%2BCRg/fDrbGoTEBCgK664oh5GAwAAYC%2BfXIN1//33a8aMGTXWv/jiixo7dqwPRgQAAGAfnwSst956SzfddFON9XFxcXrjjTd8MCIAAAD7%2BCRg7d%2B/X40bN66xPjw8XPv37/fBiAAAAOzjk4B1xRVX6P3336%2Bx/v3331d0dLQPRgQAAGAfn1zknpqaqtTUVH377bfq0aOHJOmDDz7Qs88%2Bq/T0dF8MCQAAwDY%2BCVgpKSk6duyYJk2apL/%2B9a%2BSpJYtW%2BqFF17Qvffe64shAQAA2MYnAUuSRo8erdGjR6ukpEQNGjTQJZdc4quhAAAA2MpnAataixYtfD0EAAAAW/nkIvd9%2B/bpD3/4gy677DKFhoYqJCTEawEAAPBnPpnBSk5O1jfffKO//OUvatGihQICAnwxDAAAgHPCJwFr9erVWr16tW644QZfHB4AAOCc8skpwpYtWzJrBQAALlg%2BCVhTp07V%2BPHjtWvXLl8cHgAA4JzyySnCpKQkHTp0SK1bt1Z4eLiCg4O9tpeVlfliWAAAALbwScB6%2BumnfXFYAACAeuGTgDV06FBfHBYAAKBe%2BOQaLEnavn27Jk6cqKSkJOuUYFZWljZu3OirIQEAANjCJwHr448/1jXXXKNVq1bpzTff1OHDhyVJn376qR577DFfDAkAAMA2PglYDz74oCZOnKiVK1d63bm9R48eysvL88WQAAAAbOOTgPX555/rt7/9bY31ERER2rdvnw9GBAAAYB%2BfBKxLLrlEpaWlNdavX79el156qQ9GBAAAYB%2BfBKw777xTDz30kPbt22fd0X3t2rUaN26c7rnnHl8MCQAAwDY%2BCViTJk1SVFSUWrRoocOHD6t9%2B/bq0qWLOnXqpEcfffRH9Tl58mQFBAQoNTXVWufxeDR69Gg1a9ZMDRs21IABA2rcPX7nzp3q37%2B/GjZsqGbNmmnMmDGqrKz0arNq1SrFxsYqNDRUl19%2BuV5%2B%2BeUfNUYAAPDz4JP7YIWEhOiNN97Q5s2b9emnn%2BrkyZO68cYb9Ytf/OJH9bdu3TrNmjVL1157rdf61NRUvfvuu1q8eLGaNm2qsWPHKjExUQUFBQoMDNSJEyfUr18/NW/eXGvWrNG3336rIUOGyBij6dOnS5K2bdumW2%2B9VSkpKVqwYIH%2B%2B9//asSIEWrevLluv/32n/x/AQAALjw%2BCVjVrr76al199dU/qY/Dhw/r7rvv1uzZs/W3v/3NWu92uzVnzhzNnz9fvXr1kiQtWLBArVq10ooVK5SQkKCsrCx9%2BeWXKi4ulsvlkiQ9//zzSk5O1lNPPaXw8HC9/PLLuuyyyzRt2jRJUrt27ZSfn6/09HQCFgAAOC2fBKw//elPZ9w%2Ba9asOvc1cuRI9evXT7169fIKWAUFBaqqqlJ8fLy1zuVyKSYmRjk5OUpISFBubq5iYmKscCVJCQkJ8ng8Kigo0K9%2B9Svl5uZ69VHdZs6cOaqqqqrxPYoAAAA%2BCVglJSVej6uqqvTFF1/o0KFD%2Br//%2B78697N48WIVFBQoPz%2B/xrbS0lKFhISocePGXusjIyOtTzCWlpYqMjLSa3vjxo0VEhJyxjaRkZE6fvy49u/frxYtWtQ4tsfjkcfjsR5XVFTUuSYAAOD/fBKw3n333Rrrjh8/rvvuu0/t2rWrUx/FxcX685//rKysLIWGhtb52MYY65OLkrz%2BXdc2xpha95W%2Bv%2BD%2B8ccfr/OYAADAhcVn30V4qqCgII0bN07PPfdcndoXFBSorKxMsbGxCgoKUlBQkFatWqUXXnhBQUFBioyMVGVlpcrLy732Kysrs2akoqKiatyPq7y8XFVVVWdsU1ZWpqCgIDVt2vS0Yxs/frzcbre1FBcX16kmAABwYThvApYkbd26VVVVVXVq27NnT23YsEHr16%2B3lo4dO%2Bruu%2B%2B2/h0cHKzs7Gxrn5KSEhUVFalLly6SpLi4OBUVFXmdsszKypLD4VBsbKzV5od9VLep7v90HA6HwsPDvRYAAPDz4ZNThA888IDXY2OMSkpKtHTpUt1999116qNRo0aKiYnxWtewYUM1bdrUWj906FCNHTtWTZs2VZMmTTRu3Dh16NDB%2BlRhfHy82rdvr6SkJD333HM6cOCAxo0bp5SUFCsUDR8%2BXDNmzFBaWppSUlKUm5urOXPm6PXXX/%2Bp/w0AAOAC5ZOAlZub6/X4oosuUvPmzfX0008rJSXFtuNMnTpVQUFBuuOOO3T06FH17NlT8%2BbNU2BgoCQpMDBQy5Yt04gRI9S1a1c1aNBAgwcPVnp6utVHdHS0li9frvvvv18vvviiXC6XXnjhBW7RAAAAahVgqq/YxjlTUVEhp9Mpt9vN6UIAQL3pOCHT10Oos/yn%2Btjepy/ff8%2Bra7AAAAAuBD45RdipU6dab3Fwqk8%2B%2BeQcjwYAAMBePglYv/rVr/TKK6/o6quvVlxcnCQpLy9PmzZt0rBhw%2BRwOHwxLAAAAFv4JGAdPHhQI0eO1KRJk7zWT5gwQXv37tU//vEPXwwLAADAFj65BuvNN9/UH/7whxrrk5OT9dZbb/lgRAAAAPbxScByOBzKycmpsT4nJ4fTgwAAwO/55BThmDFjNHz4cBUWFuqmm26S9P01WLNnz9bDDz/siyEBAADYxicBa8KECYqOjtbf//53vfrqq5Kkdu3aafbs2Ro8eLAvhgQAAGAbnwQsSRo8eDBhCgAAXJB8dqPRiooKzZs3T4899pjKy8slSZ999pnXFy8DAAD4I5/MYBUVFalXr14KCwtTcXGxkpOT1bhxY7355pvatWuXXnvtNV8MCwAAwBY%2BmcG6//77NXjwYH3zzTcKDQ211vfr10%2BrV6/2xZAAAABs45MZrHXr1mnmzJk1vi7n0ksv5RQhAADwez6ZwQoJCdHhw4drrN%2ByZYuaNWvmgxEBAADYxycBa8CAAXryySd1/PhxSVJAQIB2796thx56SAMHDvTFkAAAAGzjk4D1/PPPa8%2BePYqKitLRo0fVo0cPXX755QoNDa3x/YQAAAD%2BxifXYDmdTuXk5Cg7O1uffvqpTp48qRtvvFEJCQk1rssCAADwN/UesKqqqnTrrbfqpZdeUnx8vOLj4%2Bt7CAAAAOdUvZ8iDA4OVmFhITNVAADgguWTa7DuuecezZ071xeHBgAAOOd89l2EM2bM0IoVK9SxY0c1bNjQa9uzzz7ro1EBAAD8dD4JWAUFBbr22mslSZ9//rnXNk4dAgAAf1evAWvr1q2Kjo7Wxx9/XJ%2BHBQAAqFf1eg3WVVddpX379lmPBw0apL1799bnEAAAAM65eg1Yxhivx8uXL9eRI0fqcwgAAADnnE8%2BRQgAAHAhq9eAFRAQUOMidi5qBwAAF5p6vcjdGKPk5GQ5HA5J0rFjxzR8%2BPAat2l4%2B%2B2363NYAAAAtqrXgDVkyBCvx/fcc099Hh4AAKBe1GvAsvPu7TNnztTMmTO1fft2SdI111yjxx57TH379pUkeTwejRs3Tq%2B//rqOHj2qnj176qWXXlLLli2tPnbu3KmRI0fqww8/VIMGDTR48GClp6crJCTEarNq1SqlpaXpiy%2B%2BkMvl0gMPPKDhw4fbVgcAALjw%2BO1F7i1bttTTTz%2Bt/Px85efnq0ePHvr1r3%2BtL774QpKUmpqqjIwMLV68WGvWrNHhw4eVmJioEydOSJJOnDihfv366ciRI1qzZo0WL16sJUuWaOzYsdYxtm3bpltvvVW33HKLCgsL9fDDD2vMmDFasmSJT2oGAAD%2BIcCceu8EP9akSRM999xz%2Bu1vf6vmzZtr/vz5GjRokCRpz549atWqlZYvX66EhAS99957SkxMVHFxsVwulyRp8eLFSk5OVllZmcLDw/Xggw9q6dKl2rhxo3WM4cOH67PPPlNubm6dx1VRUSGn0ykpgpG/AAAddklEQVS3263w8HB7iwYAoBYdJ2T6egh1lv9UH9v79OX7r9/OYP3QiRMntHjxYh05ckRxcXEqKChQVVWV4uPjrTYul0sxMTHKycmRJOXm5iomJsYKV5KUkJAgj8ejgoICq80P%2B6huk5%2Bfr6qqqlrH4/F4VFFR4bUAAICfD78OWBs2bNDFF18sh8Oh4cOHKyMjQ%2B3bt1dpaalCQkLUuHFjr/aRkZEqLS2VJJWWlioyMtJre%2BPGjRUSEnLGNpGRkTp%2B/Lj2799f67gmT54sp9NpLa1atbKjXAAA4Cf8OmC1bdtW69evV15enu677z4NGTJEX375Za3tjTFe99063T24ztam%2Bozqme7fNX78eLndbmspLi6uc00AAMD/1eunCO0WEhKiK6%2B8UpLUsWNHrVu3Tn//%2B981aNAgVVZWqry83GsWq6ysTF26dJEkRUVFae3atV79lZeXq6qqypq1ioqKsmazfthHUFCQmjZtWuu4HA6Hda8vAADw8%2BPXM1inMsbI4/EoNjZWwcHBys7OtraVlJSoqKjIClhxcXEqKipSSUmJ1SYrK0sOh0OxsbFWmx/2Ud2mY8eOCg4OroeKAACAP/LbGayHH35Yffv2VatWrXTo0CEtXrxYH330kTIzM%2BV0OjV06FCNHTtWTZs2VZMmTTRu3Dh16NBBvXr1kiTFx8erffv2SkpK0nPPPacDBw5o3LhxSklJsT5pMHz4cM2YMUNpaWlKSUlRbm6u5syZo9dff92XpQMAgPOc3wasvXv3KikpSSUlJXI6nbr22muVmZmp3r17S5KmTp2qoKAg3XHHHdaNRufNm6fAwEBJUmBgoJYtW6YRI0aoa9euXjcarRYdHa3ly5fr/vvv14svviiXy6UXXnhBt99%2Bu09qBgAA/uGCug/W%2BYr7YAEAfIH7YHEfLAAAgAsGAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABs5rcBa/LkyerUqZMaNWqkiIgI3Xbbbdq0aZNXG4/Ho9GjR6tZs2Zq2LChBgwYoF27dnm12blzp/r376%2BGDRuqWbNmGjNmjCorK73arFq1SrGxsQoNDdXll1%2Bul19%2B%2BZzXBwAA/JffBqxVq1Zp5MiRysvLU3Z2to4fP674%2BHgdOXLEapOamqqMjAwtXrxYa9as0eHDh5WYmKgTJ05Ikk6cOKF%2B/frpyJEjWrNmjRYvXqwlS5Zo7NixVh/btm3TrbfeqltuuUWFhYV6%2BOGHNWbMGC1ZsqTeawYAAP4hwBhjfD0IO%2Bzbt08RERFatWqV/u///k9ut1vNmzfX/PnzNWjQIEnSnj171KpVKy1fvlwJCQl67733lJiYqOLiYrlcLknS4sWLlZycrLKyMoWHh%2BvBBx/U0qVLtXHjRutYw4cP12effabc3Nw6ja2iokJOp1Nut1vh4eH2Fw8AwGl0nJDp6yHUWf5TfWzv05fvv347g3Uqt9stSWrSpIkkqaCgQFVVVYqPj7fauFwuxcTEKCcnR5KUm5urmJgYK1xJUkJCgjwejwoKCqw2P%2Byjuk1%2Bfr6qqqrOaU0AAMA/Bfl6AHYwxigtLU0333yzYmJiJEmlpaUKCQlR48aNvdpGRkaqtLTUahMZGem1vXHjxgoJCTljm8jISB0/flz79%2B9XixYtaozH4/HI4/FYjysqKn56kQAAwG9cEDNYo0aN0ueff67XX3/9rG2NMQoICLAe//DfdW1TfVb1dPtK31%2BA73Q6raVVq1Z1qgMAAFwY/D5gjR49WkuXLtXKlSvVsmVLa31UVJQqKytVXl7u1b6srMyakYqKirJmqqqVl5erqqrqjG3KysoUFBSkpk2bnnZM48ePl9vttpbi4uKfXCcAAPAffhuwjDEaNWqU3n77bX344YeKjo722h4bG6vg4GBlZ2db60pKSlRUVKQuXbpIkuLi4lRUVKSSkhKrTVZWlhwOh2JjY602P%2Byjuk3Hjh0VHBx82rE5HA6Fh4d7LQAA4OfDbwPWyJEjtWDBAi1atEiNGjVSaWmpSktLdfToUUmS0%2BnU0KFDNXbsWH3wwQcqLCzUPffcow4dOqhXr16SpPj4eLVv315JSUkqLCzUBx98oHHjxiklJcUKRcOHD9eOHTuUlpamjRs36tVXX9WcOXM0btw4n9UOAADOb34bsGbOnCm3263u3burRYsW1vLGG29YbaZOnarbbrtNd9xxh7p27aqwsDC9%2B%2B67CgwMlCQFBgZq2bJlCg0NVdeuXXXHHXfotttuU3p6utVHdHS0li9fro8%2B%2BkjXX3%2B9nnzySb3wwgu6/fbb671mAADgHy6Y%2B2Cdz7gPFgDAF7gPFvfBAgAAuGAQsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACb%2BXXAWr16tfr37y%2BXy6WAgAC98847XtuNMZo4caJcLpcaNGig7t2764svvvBqU15erqSkJDmdTjmdTiUlJengwYNebTZs2KBu3bqpQYMGuvTSS/XEE0/IGHPO6wMAAP7JrwPWkSNHdN1112nGjBmn3f7ss89qypQpmjFjhtatW6eoqCj17t1bhw4dstoMHjxY69evV2ZmpjIzM7V%2B/XolJSVZ2ysqKtS7d2%2B5XC6tW7dO06dPV3p6uqZMmXLO6wMAAP4pyNcD%2BCn69u2rvn37nnabMUbTpk3ThAkTNHDgQEnSa6%2B9psjISC1atEjDhg3Txo0blZmZqby8PHXu3FmSNHv2bMXFxWnTpk1q27atFi5cqGPHjmnevHlyOByKiYnR5s2bNWXKFKWlpSkgIKDe6gUAAP7Br2ewzmTbtm0qLS1VfHy8tc7hcKhbt27KycmRJOXm5srpdFrhSpJuuukmOZ1OrzbdunWTw%2BGw2iQkJGjPnj3avn37aY/t8XhUUVHhtQAAgJ%2BPCzZglZaWSpIiIyO91kdGRlrbSktLFRERUWPfiIgIrzan6%2BOHxzjV5MmTrWu6nE6nWrVq9dOKAQAAfuWCDVjVTj2FZ4zxWne6U3xna1N9gXttpwfHjx8vt9ttLcXFxT96/AAAwP/49TVYZxIVFSXp%2B1mmFi1aWOvLysqsGaioqCjt3bu3xr779u3zanPqTFVZWZmkmrNj1RwOh9cpRQAA8PNywc5gRUdHKyoqStnZ2da6yspKrVq1Sl26dJEkxcXFye1265NPPrHarF27Vm6326vN6tWrVVlZabXJysqSy%2BVSmzZt6qcYAADgV/w6YB0%2BfFjr16/X%2BvXrJX1/Yfv69eu1c%2BdOBQQEKDU1VZMmTVJGRoaKioqUnJyssLAwDR48WJLUrl079enTRykpKcrLy1NeXp5SUlKUmJiotm3bSvr%2BNg4Oh0PJyckqKipSRkaGJk2axCcIAQBArfz6FGF%2Bfr5%2B9atfWY/T0tIkSUOGDNG8efP0wAMP6OjRoxoxYoTKy8vVuXNnZWVlqVGjRtY%2BCxcu1JgxY6xPGw4YMMDrvlpOp1PZ2dkaOXKkOnbsqMaNGystLc06FgAAwKkCDLckP%2BcqKirkdDrldrsVHh7u6%2BEAAH4mOk7I9PUQ6iz/qT629%2BnL91%2B/PkUIAABwPiJgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYNXRSy%2B9pOjoaIWGhio2NlYff/yxr4cEAADOU0G%2BHoA/eOONN5SamqqXXnpJXbt21SuvvKK%2Bffvqyy%2B/1GWXXebTsXWckOnT4/8v8p/q4%2BshAABQL5jBqoMpU6Zo6NCh%2BuMf/6h27dpp2rRpatWqlWbOnOnroQEAgPMQM1hnUVlZqYKCAj300ENe6%2BPj45WTk3PafTwejzwej/XY7XZLkioqKmwf3wnPEdv7PFfORf0AgNr93N8jqvs0xtje99kQsM5i//79OnHihCIjI73WR0ZGqrS09LT7TJ48WY8//niN9a1atTonY/QXzud9PQIAwPnqXL5HHDp0SE6n89wd4DQIWHUUEBDg9dgYU2NdtfHjxystLc16fPLkSR04cEBNmzatdZ9zpaKiQq1atVJxcbHCw8Pr9dh2o5bz04VUi3Rh1UMt5ydqqT/GGB06dEgul6vej03AOotmzZopMDCwxmxVWVlZjVmtag6HQw6Hw2vdJZdccs7GWBfh4eHn5Q//j0Et56cLqRbpwqqHWs5P1FI/6nvmqhoXuZ9FSEiIYmNjlZ2d7bU%2BOztbXbp08dGoAADA%2BYwZrDpIS0tTUlKSOnbsqLi4OM2aNUs7d%2B7U8OHDfT00AABwHgqcOHHiRF8P4nwXExOjpk2batKkSUpPT9fRo0c1f/58XXfddb4eWp0EBgaqe/fuCgry/zxNLeenC6kW6cKqh1rOT9Ry4QswvvjsIgAAwAWMa7AAAABsRsACAACwGQELAADAZgQsAAAAmxGw/MDq1avVv39/uVwuBQQE6J133qnRZuPGjRowYICcTqcaNWqkm266STt37rS2l5aWKikpSVFRUWrYsKFuvPFG/etf//Lqo02bNgoICPBaTv0OxnNdy6nHr16ee%2B45SdL27ds1dOhQRUdHq0GDBrriiiv017/%2BVZWVlVYf27dvP20fmZmZ51Ut1ZYtW6bOnTurQYMGatasmQYOHHjWfl5%2B%2BeV6reXw4cMaNWqUWrZsqQYNGqhdu3Y1vuzc4/Fo9OjRatasmRo2bKgBAwZo165dfllLNWOM%2BvbtW%2Bfn1%2B5a7KrHX17/e/fuVXJyslwul8LCwtSnTx9t2bLF2n7gwAGNHj1abdu2VVhYmC677DKNGTPG%2Br7XaufDz9nZaqmWm5urHj16qGHDhrrkkkvUvXt3HT161NpeH8/L5MmT1alTJzVq1EgRERG67bbbtGnTJq82dXl979y5U/3791fDhg3VrFkzjRkzxut380cffXTa5%2Barr76ytZ7zBZ%2Bp9ANHjhzRddddpz/84Q%2B6/fbba2z/5ptvdPPNN2vo0KF6/PHH5XQ6tXHjRoWGhlptkpKS5Ha7tXTpUjVr1kyLFi3SoEGDlJ%2BfrxtuuMFq98QTTyglJcV6fPHFF9drLSUlJV6P33vvPQ0dOtRq%2B9VXX%2BnkyZN65ZVXdOWVV6qoqEgpKSk6cuSI0tPTvfZdsWKFrrnmGutxkyZNzqtaJGnJkiVKSUnRpEmT1KNHDxljtGHDhhp9zZ07V3369LEe231n4rPVcv/992vlypVasGCB2rRpo6ysLI0YMUIul0u//vWvJUmpqal69913tXjxYjVt2lRjx45VYmKiCgoKFBgY6Fe1VJs2bdoZv97qXNci2VOPP7z%2BjTG67bbbFBwcrH//%2B98KDw/XlClT1KtXL3355Zdq2LCh9uzZoz179ig9PV3t27fXjh07NHz4cO3Zs6dGYPTlz1ldapG%2BD1d9%2BvTR%2BPHjNX36dIWEhOizzz7TRRd5z32c6%2Bdl1apVGjlypDp16qTjx49rwoQJio%2BP9xrr2V7fJ06cUL9%2B/dS8eXOtWbNG3377rYYMGSJjjKZPn%2B51vE2bNnnd9b158%2Ba21nPeMPArkkxGRobXukGDBpl77rnnjPs1bNjQ/POf//Ra16RJE/OPf/zDety6dWszdepU%2BwZ7Fqer5VS//vWvTY8ePc7Y5tlnnzXR0dHW423bthlJprCw0JZx1sWPqaWqqspceumlXs/Bj%2B3bTqc73jXXXGOeeOIJr3U33nijeeSRR4wxxhw8eNAEBwebxYsXW9t3795tLrroIpOZmXnGvs%2BlH1NLtfXr15uWLVuakpKS0/ZT37XUdsy61OMPr/9NmzYZSaaoqMhad/z4cdOkSRMze/bsWvt58803TUhIiKmqqqq173Ptx9bSuXPnGj93p6rv58UYY8rKyowks2rVKmNM3V7fy5cvNxdddJHZvXu31eb11183DofDuN1uY4wxK1euNJJMeXl5PVbjO5wi9HMnT57UsmXLdPXVVyshIUERERHq3Llzjenqm2%2B%2BWW%2B88YYOHDigkydPavHixfJ4POrevbtXu2eeeUZNmzbV9ddfr6eeesprere%2B7d27V8uWLdPQoUPP2M7tdp92dmrAgAGKiIhQ165da/x1W99OV8unn36q3bt366KLLtINN9ygFi1aqG/fvvriiy9q7D9q1Cg1a9ZMnTp10ssvv6yTJ0/W5/B18803a%2BnSpdq9e7eMMVq5cqU2b96shIQESVJBQYGqqqoUHx9v7eNyuRQTE6OcnBy/qkWSvvvuO911112aMWOGoqKiau3L17VIdavHH17/Ho9Hkrxm3gMDAxUSEqI1a9bUup/b7VZ4eHiNm1z68rmpSy1lZWVau3atIiIi1KVLF0VGRqpbt26nrbW%2Bn5fqU67Vv1fr8vrOzc1VTEyM15cqJyQkyOPxqKCgwKv/6t93PXv21MqVK89pLT7l44CH/5FO%2BUup%2Bq/rsLAwM2XKFFNYWGgmT55sAgICzEcffWS1O3jwoElISDCSTFBQkAkPDzdZWVlefU%2BZMsV89NFH5rPPPjOzZ882zZo1M0OHDq23Wk71zDPPmMaNG5ujR4/W2ubrr7824eHhXn8V7tu3z0yZMsWsXbvWrFu3zjz66KPmoosuMvPnz7d1/D/0Y2p5/fXXjSRz2WWXmX/9618mPz/f3HXXXaZp06bm22%2B/tdo9%2BeSTJicnxxQWFpr09HQTFhZmnnzyyXqtxePxmN///vfWz09ISIjXjMjChQtNSEhIjb569%2B5t/vSnP/lVLcYY86c//cnrZ/90/dR3LbWNoy71%2BMPrv7Ky0rRu3dr87ne/MwcOHDAej8dMnjzZSDLx8fGn7WP//v3msssuMxMmTPBa7%2Bufs7rUkpubaySZJk2amFdffdV8%2BumnJjU11YSEhJjNmzdbfdX383Ly5EnTv39/c/PNN1vr6vL6TklJMb17967RJiQkxCxatMgYY8xXX31lZs2aZQoKCkxOTo657777TEBAgDVTdqEhYPmZU1/Iu3fvNpLMXXfd5dWuf//%2B5s4777Qejxo1yvzyl780K1asMOvXrzcTJ040TqfTfP7557Ue61//%2BpeRZPbv329/IebsoaRt27Zm1KhRtW7fvXu3ufLKK%2Bv0y2bUqFGmQ4cOP2qcdfFjalm4cKGRZF555RVr3bFjx0yzZs3Myy%2B/XGtf6enpJjw8/KcPuhanq%2BW5554zV199tVm6dKn57LPPzPTp083FF19ssrOzjTG1/wLu1auXGTZsWK3HOh9r%2Bfe//22uvPJKc%2BjQoTP2c6pzXUtt4zhbPcb4z%2Bs/Pz/fXHfddUaSCQwMNAkJCaZv376mb9%2B%2BNfZ3u92mc%2BfOpk%2BfPqaysvKMx/LFz9nZavnvf/9rJJnx48d77dehQwfz0EMP1Xqsc/28jBgxwrRu3doUFxdb6%2Bry%2Bk5JSTltEA4ODjavv/56rcdLTEw0/fv3t2Hk5x8Clp859YXs8XhMUFBQjb/OHnjgAdOlSxdjzPezPDrlegBjjOnZs%2BcZ3/x27dplJJm8vDwbK/j/zvSmtXr1aiPJrF%2B//rTbd%2B/eba6%2B%2BmqTlJRkTpw4cdZjLViwwISGhv6k8Z7Jj6nlww8/NJLMxx9/7LX%2Bl7/8pXn44YdrPdaaNWuMJFNaWvrTB34ap9by3XffmeDgYPOf//zHq93QoUNNQkKCMcaYDz74wEgyBw4c8Gpz7bXXmscee6zWY52Ptfz5z382AQEBJjAw0FokmYsuush069bNZ7UY8%2BPq8cfX/8GDB01ZWZkx5vvXw4gRI7y2V1RUmLi4ONOzZ88zznBXq%2B%2Bfsx%2BqrZatW7caSTVm1u%2B44w4zePDgWo91Lp%2BXUaNGmZYtW5qtW7d6ra/L6/vRRx811157rdf2AwcOGEnmww8/rPWYf/vb38wvfvELmyo4v3ANlp8LCQlRp06danykdvPmzWrdurWk768nkVTjkymBgYFnvC6hsLBQktSiRQs7h1wnc%2BbMUWxs7Gm/UHv37t3q3r27brzxRs2dO7dGXadTWFjokzqk2muJjY2Vw%2BHweu6qqqq0fft267k7ncLCQoWGhuqSSy45Z2P%2BoaqqKlVVVZ3x5yc2NlbBwcHKzs62tpeUlKioqEhdunSpte/zsZaHHnpIn3/%2BudavX28tkjR16lTNnTu31r7ruxapbvX44%2Bvf6XSqefPm2rJli/Lz870%2B3VlRUaH4%2BHiFhIRo6dKlXtc51cYXz0212mpp06aNXC7XGX93n865eF6MMRo1apTefvttffjhh4qOjvbaXpfXd1xcnIqKirw%2BPZ2VlSWHw6HY2Ngz1uOr383nnK8THs7u0KFDprCw0BQWFhpJ1rVWO3bsMMYY8/bbb5vg4GAza9Yss2XLFjN9%2BnQTGBhozYxUVlaaK6%2B80txyyy1m7dq15uuvvzbp6ekmICDALFu2zBhjTE5OjtXv1q1bzRtvvGFcLpcZMGBAvdZizPdT/2FhYWbmzJk19q8%2BLdijRw%2Bza9cuU1JSYi3V5s2bZxYuXGi%2B/PJL89VXX5nnnnvOBAcHmylTppxXtRjz/WzJpZdeat5//33z1VdfmaFDh5qIiAjrL8WlS5eaWbNmmQ0bNpivv/7azJ4924SHh5sxY8bUay3dunUz11xzjVm5cqXZunWrmTt3rgkNDTUvvfSS1cfw4cNNy5YtzYoVK8ynn35qevToYa677jpz/Phxv6vlVDplhqK%2BarGjHn96/b/55ptm5cqV5ptvvjHvvPOOad26tRk4cKC1f0VFhencubPp0KGD%2Bfrrr71e/%2Bfbz9nZajHGmKlTp5rw8HDz1ltvmS1btphHHnnEhIaGmq%2B//toYU3/Py3333WecTqf56KOPvP5Pv/vuO6vN2V7fx48fNzExMaZnz57m008/NStWrDAtW7b0ujRi6tSpJiMjw2zevNkUFRWZhx56yEgyS5YssbWe8wUByw9Uf7T11GXIkCFWmzlz5pgrr7zShIaGmuuuu8688847Xn1s3rzZDBw40ERERJiwsDBz7bXXel0IW1BQYDp37mycTqcJDQ01bdu2NX/961/NkSNH6r2WV155xTRo0MAcPHiwxv5z58497f4//Fth3rx5pl27diYsLMw0atTIxMbGnpML3H9qLcZ8/%2BY3duxYExERYRo1amR69erldSrnvffeM9dff725%2BOKLTVhYmImJiTHTpk3z%2Bkh6fdRSUlJikpOTjcvlsn4%2Bnn/%2BeXPy5Emrj6NHj5pRo0aZJk2amAYNGpjExESzc%2BdOv6zlVKcGrPqqxa56/OX1//e//920bNnSBAcHm8suu8w88sgjxuPxnHV/SWbbtm3GmPPn5%2BxstVSbPHmyadmypQkLCzNxcXFelwzU1/NS2//p3LlzrTZne30bY8yOHTtMv379TIMGDUyTJk3MqFGjzLFjx6ztzzzzjLniiitMaGioady4sbn55putkH8hCjDGmJ80BQYAAAAvXIMFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM3%2BH5S38kz5ZC/VAAAAAElFTkSuQmCC\">\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_Inicio\">Inicio<br/>\n",
       "            <small>Date</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>3448</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>44.3%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>2015-02-05 13:54:59</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>2019-02-01 11:05:39.957000</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-3339523099522823614\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAABcVJREFUeJzt201oU1kcBfCTUC1WmgpVC%2BZDaZMKIU1DO7pRUYRCFxbcqLiQ4Fq3rmYRXTQri2DFhYgiXWoLotJZSHXhQtuhFBctqARNpJaUuEg61aFMzixm8mZSm2vz0aQf57dq8m7e/z7uO73vvpfYSBJV9vnzZ7jd7mqXlQ0ukUjA5XJVtWZdVav9q7GxEcA/B%2BxwOGrRBdlA0uk03G63dd5UU00CYrPZAAAOh0MBqYFffv2t6M/83t%2B7Bj0pTu68qSZ71SuKbCAKiIiBAiJioICIGCggIgY1uYslG89GvfNVLs0gIgYKiIiBAiJioICIGCggIgYKiIiBAiJioICIGCggIgYKiIiBAiJioICIGCggIgYKiIiBAiJioICIGCggIgb6RaGsmc3wK0TNICIGCoiIgQIiYqCAiBgoICIGCoiIgQIiYqCAiBisuweFm%2BHhkmwemkFEDBQQEYN1d4lViq1%2BWVbK8cvqaAYRMdgUM8hmotlgfdEMImKgGaQI%2Bu%2B%2B9WgGETFQQEQMFBARAwVExGDLLtK14JbVqElASAIA0un0D9v%2B%2BvOPandH1pGVzonce7nzpppqEpBMJgMAcLvdtSgv61jTQOFtmUwGTU1N1esMABtrEMtsNovZ2Vk0NjYik8nA7XYjkUjA4XBUuytSY%2Bl0%2BqfjTxKZTAb79u2D3V7dZXNNZhC73Q6XywUAsNlsAACHw6GAbGE/G/9qzxw5uoslYqCAiBjUPCD19fWIRCKor6%2BvdVekBtb7%2BNdkkS6yUdR8BhFZzxQQEYOiAvL9%2B3ecPn0a7e3tCIVC6O3txcePHwEAyWQSvb298Pl8CAQCePXqlfW5aDSKgwcPwm634%2BnTp3n7PHHiBFpbWxEKhRAKhXDjxo2C9UutIZWxFuM/MTGBI0eOIBgMIhQKYWxsrGD9xcVFnD9/Hl6vF%2B3t7RgZGbG23bt3Dx0dHairq8OtW7cqd9Aswrdv3/js2TNms1mS5ODgIHt6ekiSFy9eZCQSIUmOj4/T4/FwaWmJJPn69Wt%2B%2BPCBx48f55MnT/L2udJ7hZRaQyqj0uOfzWbpdDo5NjZGkpyZmaHL5eLi4uKK9a9du8ZwOEySjMVibGlp4devX0mSU1NTnJ6e5oULFzg4OFixYy4qIMtNTEywra2NJLlz504mk0lr26FDh/jixYu89uUGpNQasjbKHf/5%2BXnu2LEjr00gEODw8PCK9fx%2BP8fHx63XZ86c4f379/PahMPhigakrDXIzZs30dfXh1QqhWw2iz179ljbDhw4gHg8vqr9XLlyBR0dHTh37hxisdiKbcqtIZVX7vjv3r0bLS0tGB4eBgC8efMG7969sy7blovH49i/f39RNcpVckCi0Sjev3%2BP/v5%2BAP99ZSSHq7x7PDQ0hJmZGbx9%2BxbHjh3DqVOnCrYttYZUXqXG//Hjx7h79y66urpw%2B/ZtHD16FNu2bSvY/v91qjH%2BJQXk%2BvXrGBkZwejoKBoaGtDc3AwAmJ%2Bft9p8%2BvQJHo/np/vKfaPXZrPh8uXLiMViSKVSeP78ubVw7%2B/vL6uGVFYlxz8YDGJ0dBSTk5N48OABZmdn4ff7MT09bY3/pUuXAAAejydvdqnK%2BBd7TTYwMMCuri5rcZQTDofzFmlut9tapOUsvwZdWlri3Nyc9frRo0f0eDwFa5dSQyqrkuNPkl%2B%2BfLH%2BvnPnDru7u62bAMtFIpG8RfrevXuZSqV%2B6EfNFumJRIIA2Nrays7OTnZ2dvLw4cMkybm5Ofb09NDr9dLv9/Ply5fW56LRKJ1OJ7dv387m5mY6nU4mk0kuLCywu7ubgUCAwWCQJ0%2Be5NTUVMH6pdSQyqn0%2BJPk1atX6fP56PV62dfXx3g8XrD%2BwsICz549y7a2Nvp8Pj58%2BNDaNjQ0RKfTyYaGBu7atYtOp5OTk5NlH7O%2BaiJioCfpIgYKiIiBAiJioICIGCggIgYKiIiBAiJioICIGPwNDrGRYpX3i4cAAAAASUVORK5CYII%3D\">\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-3339523099522823614,#minihistogram-3339523099522823614\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-3339523099522823614\">\n",
       "    <img 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txyGYRh2DyLQeTweuVwuud1uZr0A4AQdxuXYPYSAtm5iD7uHYCs7P38viHuwAAAA6hIBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsJhfB6zly5erd%2B/eiouLk8Ph0AcffOCzPSMjQw6Hw2dJTk726eP1ejVs2DBFRkYqJCREffr0UXFxsU%2Bf7du3q3fv3goJCVFkZKSGDx%2BuioqKWq8PAAD4J78OWIcOHVK7du30/PPPn7JPjx49VFJSYi4fffSRz/YRI0ZowYIFmjt3rlauXKmDBw%2BqV69eqqqqkiRVVVXplltu0aFDh7Ry5UrNnTtX77//vkaNGlWrtQEAAP9Vz%2B4B/BY9e/ZUz549T9vH6XQqJiamxm1ut1szZ87Um2%2B%2BqT/84Q%2BSpNmzZys%2BPl5LlixRWlqaFi9erI0bN2rHjh2Ki4uTJD311FPKyMjQxIkTFRYWZm1RAADA7/n1DNbZ%2BPzzzxUVFaVWrVopMzNTZWVl5raCggJVVlYqNTXVbIuLi1NiYqJWrVolScrLy1NiYqIZriQpLS1NXq9XBQUFNR7T6/XK4/H4LAAA4MIR0AGrZ8%2BemjNnjj799FM99dRTWrt2rW644QZ5vV5JUmlpqYKDgxUeHu7zuujoaJWWlpp9oqOjfbaHh4crODjY7HOyyZMny%2BVymUt8fHwtVAcAAM5Xfn2J8EzuuOMO8%2B/ExER16NBBzZs316JFi9SvX79Tvs4wDDkcDnP9xL9P1edE2dnZysrKMtc9Hg8hCwCAC0hAz2CdLDY2Vs2bN9eWLVskSTExMaqoqFB5eblPv7KyMnPWKiYmptpMVXl5uSorK6vNbB3ndDoVFhbmswAAgAvHBRWw9u7dqx07dig2NlaSlJSUpPr16ys3N9fsU1JSog0bNqhz586SpJSUFG3YsEElJSVmn8WLF8vpdCopKaluCwAAAH7Bry8RHjx4UN999525vnXrVhUVFSkiIkIREREaP368br31VsXGxurHH3/U2LFjFRkZqT/96U%2BSJJfLpfvuu0%2BjRo1SkyZNFBERodGjR%2BuKK64wv1WYmpqqtm3bKj09XVOnTtW%2Bffs0evRoZWZmMjMFAABq5NcBa926derevbu5fvy%2BpwEDBmj69On66quv9MYbb2j//v2KjY1V9%2B7dNW/ePIWGhpqveeaZZ1SvXj3dfvvtOnz4sG688Ua99tprCgoKkiQFBQVp0aJFGjx4sLp06aKGDRuqf//%2BmjZtWt0WCwAA/IbDMAzD7kEEOo/HI5fLJbfbzawXAJygw7gcu4cQ0NZN7GH3EGxl5%2BfvBXUPFgAAQF0gYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABazJWDNnj1bv/zyix2HBgAAqHW2BKysrCzFxMRo4MCBWrNmjR1DAAAAqDW2BKydO3fq1VdfVUlJia699lpdfvnleuqpp7R79247hgMAAGApWwJWvXr11K9fPy1cuFDbt2/XgAED9Oqrr6pZs2bq16%2BfFi1aJMMw7BgaAADAb2b7Te4xMTG68cYb1a1bNzkcDq1bt079%2B/dXy5YttWLFCruHBwAAcM5sC1h79uzRs88%2Bq3bt2qlLly4qKyvTBx98oG3btumnn35Sr1699Ne//tWu4QEAAPxq9ew46J/%2B9Cd99NFHSkhI0P33368BAwaoadOm5vbGjRvroYce0j//%2BU87hgcAAPCb2BKwwsLCtGTJEnXt2vWUfWJjY7Vly5Y6HBUAAIA1bAlYr7/%2B%2Bhn7OBwOXXbZZXUwGgAAAGvZcg/WyJEj9fzzz1drf%2BGFFzRq1CgbRgQAAGAdWwLWu%2B%2B%2Bq%2BTk5GrtKSkpmjdvng0jAgAAsI4tAWvPnj0KDw%2Bv1h4WFqY9e/bYMCIAAADr2BKwLrvsMn3yySfV2j/55BMlJCSc9X6WL1%2Bu3r17Ky4uTg6HQx988IG5rbKyUg8//LCuuOIKhYSEKC4uTn/961%2B1c%2BdOn320aNFCDofDZxkzZoxPn%2B3bt6t3794KCQlRZGSkhg8froqKinOsGgAAXChsucl9xIgRGjFihPbu3asbbrhBkrR06VI9%2BeSTmjZt2lnv59ChQ2rXrp3uuece3XrrrT7bfv75Z61fv15///vf1a5dO5WXl2vEiBHq06eP1q1b59P3scceU2ZmprneuHFj8%2B%2Bqqirdcsstatq0qVauXKm9e/dqwIABMgxDzz333K8pHwAABDhbAlZmZqZ%2B%2BeUXTZo0SY8%2B%2BqgkqVmzZvrnP/%2Bpe%2B%2B996z307NnT/Xs2bPGbS6XS7m5uT5tzz33nK655hpt375dl1xyidkeGhqqmJiYGvezePFibdy4UTt27FBcXJwk6amnnlJGRoYmTpyosLCwsx4vAAC4MNj2JPdhw4appKREP/30k/bt26ft27efU7j6NdxutxwOhy666CKf9ieeeEJNmjTRVVddpYkTJ/pc/svLy1NiYqIZriQpLS1NXq9XBQUFNR7H6/XK4/H4LAAA4MJhywzWiWJjY%2BvkOL/88ovGjBmj/v37%2B8w6Pfjgg2rfvr3Cw8O1Zs0aZWdna%2BvWrZoxY4YkqbS0VNHR0T77Cg8PV3BwsEpLS2s81uTJkzVhwoTaKwYAAJzXbAlYu3fv1kMPPaSlS5eqrKxMR48e9dlu9Q3klZWVuvPOO3X06FG9%2BOKLPttGjhxp/n3llVcqPDxct912mzmrJR176OnJDMOosV2SsrOzlZWVZa57PB7Fx8dbUQoAAPADtgSsjIwMff/99/p//%2B//KTY29pRBxQqVlZW6/fbbtXXrVn366adnvGfq%2BPO5vvvuOzVp0kQxMTFavXq1T5/y8nJVVlZWm9k6zul0yul0WlMAAADwO7YErOXLl2v58uW6%2Buqra/U4x8PVli1b9Nlnn5kzUqdTWFgo6f8uXaakpGjixIkqKSkx2xYvXiyn06mkpKTaGzwAAPBbtgSsZs2aWTJrdfDgQX333Xfm%2BtatW1VUVKSIiAjFxcXptttu0/r16/Wf//xHVVVV5j1TERERCg4OVl5envLz89W9e3e5XC6tXbtWI0eOVJ8%2BfcxvGaampqpt27ZKT0/X1KlTtW/fPo0ePVqZmZl8gxAAANTIlm8RPvPMM8rOzlZxcfFv2s%2B6det09dVXmzNhWVlZuvrqq/XII4%2BouLhYCxcuVHFxsa666irFxsaay6pVqyQdu5Q3b948devWTW3bttUjjzyizMxMvf322%2BYxgoKCtGjRIjVo0EBdunTR7bffrr59%2B57T87oAAMCFxWEYhlHXB23atKkOHDigyspKhYWFqX79%2Bj7by8rK6npItcrj8cjlcsntdjPrBQAn6DAux%2B4hBLR1E3vYPQRb2fn5a8slwilTpthxWAAAgDphS8C677777DgsAABAnbDtSe4//vijxo8fr/T0dPOS4OLFi7Vp0ya7hgQAAGAJWwLWihUrdPnll2vZsmV65513dPDgQUnS%2BvXr9cgjj9gxJAAAAMvYErAefvhhjR8/Xp999pmCg4PN9htuuEH5%2Bfl2DAkAAMAytgSsL7/8Urfddlu19qioKO3evduGEQEAAFjHloB10UUX1fhDyUVFRbr44ottGBEAAIB1bAlYd955p8aMGaPdu3ebT3RfvXq1Ro8erbvvvtuOIQEAAFjGloA1adIkxcTEKDY2VgcPHlTbtm3VuXNndezYUX//%2B9/tGBIAAIBlbHkOVnBwsObNm6dvv/1W69ev19GjR9W%2BfXv9/ve/t2M4AAAAlrIlYB3XqlUrtWrVys4hAAAAWM6WgPXAAw%2BcdvvLL79cRyMBAACwni0Bq6SkxGe9srJSX3/9tQ4cOKDrrrvOjiEBAABYxpaA9eGHH1ZrO3LkiP72t7%2BpTZs2NowIAADAOrb9FuHJ6tWrp9GjR2vq1Kl2DwUAAOA3OW8CliT98MMPqqystHsYAAAAv4ktlwgfeughn3XDMFRSUqKFCxfqrrvusmNIAAAAlrElYOXl5fms/%2B53v1PTpk01ZcoUZWZm2jEkAAAAy9gSsFasWGHHYQEAAOrEeXUPFgAAQCCwZQarY8eO5o88n8maNWtqeTQAAADWsiVgde/eXS%2B99JJatWqllJQUSVJ%2Bfr42b96sgQMHyul02jEsAAAAS9gSsPbv368hQ4Zo0qRJPu3jxo3Trl27NGPGDDuGBQAAYAlb7sF65513dM8991Rrz8jI0LvvvmvDiAAAAKxjywyW0%2BnUqlWr1LJlS5/2VatWndPlweXLl2vq1KkqKChQSUmJFixYoL59%2B5rbDcPQhAkT9PLLL6u8vFydOnXSCy%2B8oMsvv9zsU15eruHDh2vhwoWSpD59%2Bui5557TRRddZPb56quvNHToUK1Zs0YREREaOHCg/v73v5/1fWQAANihw7gcu4dw1tZN7GH3ECxlS8AaPny4Bg0apMLCQiUnJ0s6dg/WK6%2B8orFjx571fg4dOqR27drpnnvu0a233lpt%2B5NPPqmnn35ar732mlq1aqV//OMfuummm7R582aFhoZKkvr376/i4mLl5Bz7l/CBBx5Qenq6%2BXuJHo9HN910k7p37661a9fq22%2B/VUZGhkJCQjRq1Kjf%2Bo8CAAAEIIdhGIYdB37rrbf0P//zP9q0aZMkqU2bNnrwwQfVv3//X7U/h8PhM4NlGIbi4uI0YsQIPfzww5Ikr9er6OhoPfHEExo4cKA2bdqktm3bKj8/X506dZJ0LOilpKTom2%2B%2BUevWrTV9%2BnRlZ2dr165d5uzalClT9Nxzz6m4uPisZrE8Ho9cLpfcbrfCwsJ%2BVX0AEIj8aYYFtas2ZrDs/Py17TlY/fv31%2BrVq%2BXxeOTxeLR69epfHa5qsnXrVpWWlio1NdVsczqduv7667Vq1SpJx54o73K5zHAlScnJyXK5XD59rr/%2Bep9Ll2lpadq5c6d%2B/PFHy8YLAAACh20By%2BPx6LXXXtMjjzyi8vJySdIXX3yhkpISS/ZfWloqSYqOjvZpj46ONreVlpYqKiqq2mujoqJ8%2BtS0jxOPcTKv12sGx%2BMLAAC4cNhyD9aGDRv0hz/8QY0aNdKOHTuUkZGh8PBwvfPOOyouLtbrr79u2bFOvoRnGIZPW02X%2BM7U5/hV1VNdHpw8ebImTJjwq8cMAAD8my0zWCNHjlT//v31/fffq0GDBmb7LbfcouXLl1tyjJiYGEnVZ5nKysrMGaiYmBjt2rWr2mt3797t06emfUjVZ8eOy87OltvtNpcdO3b8tmIAAIBfsSVgrV27VoMHD642A3TxxRdbdokwISFBMTExys3NNdsqKiq0bNkyde7cWZKUkpIit9vt83M8q1evltvt9umzfPlyVVRUmH0WL16suLg4tWjRosZjO51OhYWF%2BSwAAODCYUvACg4O1sGDB6u1b9myRZGRkWe9n4MHD6qoqEhFRUWSjt3YXlRUpO3bt8vhcGjEiBGaNGmSFixYoA0bNigjI0ONGjUyb6Zv06aNevTooczMTOXn5ys/P1%2BZmZnq1auXWrduLenYzfhOp1MZGRnasGGDFixYoEmTJikrK4vnYAEAgBrZcg9Wnz599Pjjj2vevHmSjt3L9NNPP2nMmDHq16/fWe9n3bp16t69u7melZUlSRowYIBee%2B01PfTQQzp8%2BLAGDx5sPmh08eLF5jOwJGnOnDkaPny4%2BW3DPn366Pnnnze3u1wu5ebmasiQIerQoYPCw8OVlZVlHgsAAOBktjwHy%2B12q0ePHtqyZYv279%2Bv%2BPh47dy5Ux07dlROTo4aN25c10OqVTwHCwBqxnOwcFygPQfLlhms48%2BZys3N1fr163X06FG1b99eaWlpXHYDAAB%2Br84DVmVlpW6%2B%2BWa9%2BOKLSk1N9XkQKAAAQCCo85vc69evr8LCQmaqAABAwLLlW4R33323Zs2aZcehAQAAap0t92BJ0vPPP68lS5aoQ4cOCgkJ8dn25JNP2jQqAACA386WgFVQUKArr7xSkvTll1/6bOPSIQAA8Hd1GrB%2B%2BOEHJSQkaMWKFXV5WAAAgDpVp/dgtWzZUrt37zbX77jjjhp/CxAAAMCf1WnAOvmZph999JEOHTpUl0MAAACodbZ8ixAAACCQ1WnAcjgc1W5i56bGHnR1AAAZL0lEQVR2AAAQaOr0JnfDMJSRkSGn0ylJ%2BuWXXzRo0KBqj2mYP39%2BXQ4LAADAUnUasAYMGOCzfvfdd9fl4QEAAOpEnQYsnt4OAAAuBNzkDgAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFgvogNWiRQs5HI5qy5AhQyRJ3bp1q7btzjvv9NlHeXm50tPT5XK55HK5lJ6erv3799tRDgAA8BN1%2BmPPdW3t2rWqqqoy1zds2KCbbrpJf/7zn822zMxMPfbYY%2BZ6w4YNffbRv39/FRcXKycnR5L0wAMPKD09XR9%2B%2BGEtjx4AAPirgA5YTZs29VmfMmWKLrvsMl1//fVmW6NGjRQTE1Pj6zdt2qScnBzl5%2BerU6dOkqRXXnlFKSkp2rx5s1q3bl17gwcAAH4roC8RnqiiokKzZ8/WvffeK4fDYbbPmTNHkZGRuvzyyzV69GgdOHDA3JaXlyeXy2WGK0lKTk6Wy%2BXSqlWrTnksr9crj8fjswAAgAtHQM9gneiDDz7Q/v37lZGRYbbdddddSkhIUExMjDZs2KDs7Gx98cUXys3NlSSVlpYqKiqq2r6ioqJUWlp6ymNNnjxZEyZMsLwGAADgHy6YgDVz5kz17NlTcXFxZltmZqb5d2Jiolq2bKkOHTpo/fr1at%2B%2BvST5zHYdZxhGje3HZWdnKysry1z3eDyKj4%2B3ogwAAOAHLoiAtW3bNi1ZskTz588/bb/27durfv362rJli9q3b6%2BYmBjt2rWrWr/du3crOjr6lPtxOp1yOp2/edwAAMA/XRD3YM2aNUtRUVG65ZZbTtvv66%2B/VmVlpWJjYyVJKSkpcrvdWrNmjdln9erVcrvd6ty5c62OGQAA%2BK%2BAn8E6evSoZs2apQEDBqhevf8r9/vvv9ecOXN08803KzIyUhs3btSoUaN09dVXq0uXLpKkNm3aqEePHsrMzNRLL70k6dhjGnr16sU3CAEAwCkF/AzWkiVLtH37dt17770%2B7cHBwVq6dKnS0tLUunVrDR8%2BXKmpqVqyZImCgoLMfnPmzNEVV1yh1NRUpaam6sorr9Sbb75Z12UAAAA/EvAzWKmpqTIMo1p7fHy8li1bdsbXR0REaPbs2bUxNAAAEKACfgYLAACgrhGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiAf%2Bg0UDXYVyO3UM4a%2Bsm9rB7CAAA1AlmsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiAR2wxo8fL4fD4bPExMSY2w3D0Pjx4xUXF6eGDRuqW7du%2Bvrrr332UV5ervT0dLlcLrlcLqWnp2v//v11XQoAAPAjAR2wJOnyyy9XSUmJuXz11VfmtieffFJPP/20nn/%2Bea1du1YxMTG66aabdODAAbNP//79VVRUpJycHOXk5KioqEjp6el2lAIAAPxEPbsHUNvq1avnM2t1nGEYevbZZzVu3Dj169dPkvT6668rOjpab731lgYOHKhNmzYpJydH%2Bfn56tSpkyTplVdeUUpKijZv3qzWrVvXaS0AAMA/BPwM1pYtWxQXF6eEhATdeeed%2BuGHHyRJW7duVWlpqVJTU82%2BTqdT119/vVatWiVJysvLk8vlMsOVJCUnJ8vlcpl9AAAAThbQM1idOnXSG2%2B8oVatWmnXrl36xz/%2Boc6dO%2Bvrr79WaWmpJCk6OtrnNdHR0dq2bZskqbS0VFFRUdX2GxUVZb6%2BJl6vV16v11z3eDxWlOP3OozLsXsI52TdxB52DwEA4KcCOmD17NnT/PuKK65QSkqKLrvsMr3%2B%2ButKTk6WJDkcDp/XGIbh03by9pr6nGzy5MmaMGHCbx0%2BAADwUwF/ifBEISEhuuKKK7RlyxbzvqyTZ6LKysrMWa2YmBjt2rWr2n52795dbebrRNnZ2XK73eayY8cOC6sAAADnu4CewTqZ1%2BvVpk2b1LVrVyUkJCgmJka5ubm6%2BuqrJUkVFRVatmyZnnjiCUlSSkqK3G631qxZo2uuuUaStHr1arndbnXu3PmUx3E6nXI6nbVfEADUwN8uxwOBKKAD1ujRo9W7d29dcsklKisr0z/%2B8Q95PB4NGDBADodDI0aM0KRJk9SyZUu1bNlSkyZNUqNGjdS/f39JUps2bdSjRw9lZmbqpZdekiQ98MAD6tWrF98gBAAApxTQAau4uFh/%2BctftGfPHjVt2lTJycnKz89X8%2BbNJUkPPfSQDh8%2BrMGDB6u8vFydOnXS4sWLFRoaau5jzpw5Gj58uPltwz59%2Buj555%2B3pR4AAOAfHIZhGHYPItB5PB65XC653W6FhYVZum8uBdQevkUIf8V/F%2BCPauO/ubX5%2BXsmF9RN7gAAAHWBgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWCygfyoHAKzAk9EBnCtmsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAi/GgUQB1jgd3Agh0zGABAABYjIAFAABgMS4RAgGCy24AcP5gBgsAAMBiBCwAAACLEbAAAAAsFtABa/LkyerYsaNCQ0MVFRWlvn37avPmzT59unXrJofD4bPceeedPn3Ky8uVnp4ul8sll8ul9PR07d%2B/vy5LAQAAfiSgA9ayZcs0ZMgQ5efnKzc3V0eOHFFqaqoOHTrk0y8zM1MlJSXm8tJLL/ls79%2B/v4qKipSTk6OcnBwVFRUpPT29LksBAAB%2BJKC/RZiT4/utqlmzZikqKkoFBQW67rrrzPZGjRopJiamxn1s2rRJOTk5ys/PV6dOnSRJr7zyilJSUrR582a1bt269goAAAB%2BKaBnsE7mdrslSRERET7tc%2BbMUWRkpC6//HKNHj1aBw4cMLfl5eXJ5XKZ4UqSkpOT5XK5tGrVqhqP4/V65fF4fBYAAHDhCOgZrBMZhqGsrCxde%2B21SkxMNNvvuusuJSQkKCYmRhs2bFB2dra%2B%2BOIL5ebmSpJKS0sVFRVVbX9RUVEqLS2t8ViTJ0/WhAkTaqcQAABw3rtgAtbQoUP15ZdfauXKlT7tmZmZ5t%2BJiYlq2bKlOnTooPXr16t9%2B/aSJIfDUW1/hmHU2C5J2dnZysrKMtc9Ho/i4%2BOtKAMAAPiBCyJgDRs2TAsXLtTy5cvVrFmz0/Zt37696tevry1btqh9%2B/aKiYnRrl27qvXbvXu3oqOja9yH0%2BmU0%2Bm0ZOwAAMD/BPQ9WIZhaOjQoZo/f74%2B/fRTJSQknPE1X3/9tSorKxUbGytJSklJkdvt1po1a8w%2Bq1evltvtVufOnWtt7AAAwH8F9AzWkCFD9NZbb%2Bnf//63QkNDzXumXC6XGjZsqO%2B//15z5szRzTffrMjISG3cuFGjRo3S1VdfrS5dukiS2rRpox49eigzM9N8fMMDDzygXr168Q1CAABQo4CewZo%2Bfbrcbre6deum2NhYc5k3b54kKTg4WEuXLlVaWppat26t4cOHKzU1VUuWLFFQUJC5nzlz5uiKK65QamqqUlNTdeWVV%2BrNN9%2B0qywAAHCeC%2BgZLMMwTrs9Pj5ey5YtO%2BN%2BIiIiNHv2bKuGBQAAAlxAz2ABAADYgYAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWKye3QMAzlcdxuXYPQQAgJ9iBgsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAOksvvviiEhIS1KBBAyUlJWnFihV2DwkAAJynCFhnYd68eRoxYoTGjRunwsJCde3aVT179tT27dvtHhoAADgPEbDOwtNPP6377rtP999/v9q0aaNnn31W8fHxmj59ut1DAwAA5yF%2BKucMKioqVFBQoDFjxvi0p6amatWqVTW%2Bxuv1yuv1mutut1uS5PF4LB9flfeQ5fsEAKCu1cZn5PF9GoZh%2Bb7PhIB1Bnv27FFVVZWio6N92qOjo1VaWlrjayZPnqwJEyZUa4%2BPj6%2BVMQIA4O9cT9Xevg8cOCCXy1V7B6gBAessORwOn3XDMKq1HZedna2srCxz/ejRo9q3b5%2BaNGlyytcc5/F4FB8frx07digsLOy3D/w8Eah1SdTmrwK1tkCtS6I2f2VnbYZh6MCBA4qLi6vT40oErDOKjIxUUFBQtdmqsrKyarNaxzmdTjmdTp%2B2iy666JyOGxYWFnAnmRS4dUnU5q8CtbZArUuiNn9lV211PXN1HDe5n0FwcLCSkpKUm5vr056bm6vOnTvbNCoAAHA%2BYwbrLGRlZSk9PV0dOnRQSkqKXn75ZW3fvl2DBg2ye2gAAOA8FDR%2B/Pjxdg/ifJeYmKgmTZpo0qRJmjZtmg4fPqw333xT7dq1q5XjBQUFqVu3bqpXL7Dyb6DWJVGbvwrU2gK1Lona/FUg13YqDsOO7y4CAAAEMO7BAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwDoLkydPVseOHRUaGqqoqCj17dtXmzdv9unj9Xo1bNgwRUZGKiQkRH369FFxcbFPnwcffFBJSUlyOp266qqrqh3nxx9/lMPhqLbk5OSccYzvv/%2B%2B2rZtK6fTqbZt22rBggU%2B2%2BfPn6%2B0tDRFRkbK4XCoqKgoYGqrab8Oh0M9e/ask9qkY08LnjZtmlq1aiWn06n4%2BHhNmjTpN9dW0/tWV%2B9ZbdZl93s2fvz4Go8fEhJyxtpefPFFJSQkqEGDBkpKStKKFSt8tr/88svq1q2bwsLC5HA4tH//fkl1d67VVm2nOocdDof69%2B9fZ/9OfvLJJ0pOTlZoaKiaNm2qW2%2B9VVu3bj1jbef7uVZbddl9rknSO%2B%2B8o6uuukqNGjVS8%2BbNNXXq1DPWdTa1nepz7XxBwDoLy5Yt05AhQ5Sfn6/c3FwdOXJEqampOnTo/35oecSIEVqwYIHmzp2rlStX6uDBg%2BrVq5eqqqrMPoZh6N5779Udd9xx2uMtWbJEJSUl5nLDDTectn9eXp7uuOMOpaen64svvlB6erpuv/12rV692uxz6NAhdenSRVOmTAm42k7cX0lJiV599VU5HA4dOnSozmp78MEHNWPGDE2bNk3ffPONPvzwQ11zzTW/ubaa3re6fM9qqy6737PRo0dXG0Pbtm315z//%2BbS1zZs3TyNGjNC4ceNUWFiorl27qmfPntq%2BfbvZ5%2Beff1aPHj00duxYn9fW1ftWW7XFx8dX2%2B%2BECRMUEhKi3bt310ltP/zwg/74xz/qhhtuUFFRkT755BPt2bNH/fr1O21t5/u5Vpt12X2uffzxx7rrrrs0aNAgbdiwQS%2B%2B%2BKKefvppPf/887%2B5tlN9rp03DJyzsrIyQ5KxbNkywzAMY//%2B/Ub9%2BvWNuXPnmn1%2B%2Bukn43e/%2B52Rk5NT7fWPPvqo0a5du2rtW7duNSQZhYWF5zSe22%2B/3ejRo4dPW1pamnHnnXee8zH8ubbj/vjHPxo33HBDtfbaqm3jxo1GvXr1jG%2B%2B%2Beas6zIM6943f67ruLp%2Bz05WVFRkSDKWL19%2B2n7XXHONMWjQIJ%2B23//%2B98aYMWOq9f3ss88MSUZ5eXmN%2B/Ln2o676qqrjHvvvbdae23V9u677xr16tUzqqqqzLaFCxcaDofDqKioOOU4z/dzrS7qOq6uz7W//OUvxm233ebT9swzzxjNmjUzjh49akltv/bzpbYxg/UruN1uSVJERIQkqaCgQJWVlUpNTTX7xMXFKTExUatWrTrn/ffp00dRUVHq0qWL3nvvvTP2z8vL8zm2JKWlpf2qY/t7bbt27dKiRYt03333VdtWW7V9%2BOGHuvTSS/Wf//xHCQkJatGihe6//37t27fP0tpOxd/rsuM9O9mMGTPUqlUrde3a9ZR9KioqVFBQUK221NTU8/JcO662aisoKFBRUVGdvm8dOnRQUFCQZs2apaqqKrndbr355ptKTU1V/fr1T/m68/1cq6u67DjXvF6vGjRo4NPWsGFDFRcXa9u2bad8nZWfa3YhYJ0jwzCUlZWla6%2B9VomJiZKk0tJSBQcHKzw83KdvdHR0tR%2BJPp3GjRvr6aef1nvvvaePPvpIN954o%2B644w7Nnj37tK8rLS2t9sPT53psKTBqe/311xUaGlptar02a/vhhx%2B0bds2vfvuu3rjjTf02muvqaCgQLfddpultdUkEOqy4z07kdfr1Zw5c2r80DnRnj17VFVVdd6fayeqzdpmzpypNm3aVPtN1tqsrUWLFlq8eLHGjh0rp9Opiy66SMXFxZo7d%2B5pX3e%2Bn2t1VZcd51paWprmz5%2BvpUuX6ujRo/r222/17LPPSjp2%2BdKq2s5HBKxzNHToUH355Zd6%2B%2B23z9jXMAw5HI6z3ndkZKRGjhypa665Rh06dNBjjz2mwYMH68knn5Qkbd%2B%2BXY0bNzaXE282Pvk453psKTBqe/XVV3XXXXdV%2Bz%2Bm2qzt6NGj8nq9euONN9S1a1d169ZNM2fO1GeffabNmzfX6vsWCHXZ8Z6daP78%2BTpw4ID%2B%2Bte/mm0rVqzwqW3OnDnmtvP9XDtRbdV2%2BPBhvfXWWzUGt9qsrbS0VPfff78GDBigtWvXatmyZQoODtZtt90mwzD89lyrq7rsONcyMzM1dOhQ9erVS8HBwUpOTtadd94p6djP59T255qdLpwfBbLAsGHDtHDhQi1fvlzNmjUz22NiYlRRUaHy8nKftF9WVlbt/%2B7OVXJysmbMmCHp2PTsid%2BSOD6VGxMTUy3Vl5WVVUv/pxMIta1YsUKbN2/WvHnz6rS22NhY1atXT61atTLb2rRpI%2BlYcOzevXutvG%2BBUJdd79mJZsyYoV69eikmJsZs69Chg09t0dHRcjqdCgoK8qtzrbZqe%2B%2B99/Tzzz/7BLe6qO2FF15QWFiY%2BT9mkjR79mzFx8dr9erV1Wrzl3OtLuqy61xzOBx64oknNGnSJJWWlqpp06ZaunSppGMzdxEREbX2uWY3ZrDOgmEYGjp0qObPn69PP/1UCQkJPtuTkpJUv3595ebmmm0lJSXasGHDbw4hhYWFio2NlSTVq1dP//Vf/2Uux/9FTElJ8Tm2JC1evPisjh1Itc2cOVNJSUnmj3DXVW1dunTRkSNH9P3335tt3377rSSpefPmlr9vgVSXXe/ZcVu3btVnn31WbSamYcOGPrWFhoYqODhYSUlJ1WrLzc09L8%2B12qxt5syZ6tOnj5o2bVqntf38888KCgryaTu%2BfvToUb891%2BqiLrvPtaCgIF188cUKDg7W22%2B/rZSUFEVFRdXK59p5ozbvoA8Uf/vb3wyXy2V8/vnnRklJibn8/PPPZp9BgwYZzZo1M5YsWWKsX7/euOGGG4x27doZR44cMfts2bLFKCwsNAYOHGi0atXKKCwsNAoLCw2v12sYhmG89tprxpw5c4yNGzca33zzjTF16lSjfv36xtNPP33a8f3v//6vERQUZEyZMsXYtGmTMWXKFKNevXpGfn6%2B2Wfv3r1GYWGhsWjRIkOSMXfuXKOwsNAYMGCA39dmGIbhdruNRo0aGdOnT6/z962qqspo3769cd111xnr16831q1bZ3Tq1Mm46aabauV9%2B/Of/2yEhYX5dV12v2fH/fd//7cRFxfn89rTmTt3rlG/fn1j5syZxsaNG40RI0YYISEhxo8//mj2KSkpMQoLC41XXnnF/PZeYWGhcc899/h9bceP73A4jI8//thsq6v3benSpYbD4TAmTJhgfPvtt0ZBQYGRlpZmNG/e3OdYJzvfz7XarMsw7D3Xdu/ebUyfPt3YtGmTUVhYaAwfPtxo0KCBsXr16lPW9Vves8LCQqOkpOS0%2B64rBKyzIKnGZdasWWafw4cPG0OHDjUiIiKMhg0bGr169TK2b9/us5/rr7%2B%2Bxv1s3brVMIxjIaRNmzZGo0aNjNDQUCMpKcl48803z2qM7777rtG6dWujfv36xu9//3vj/fff99k%2Ba9asU9bh77UZhmG89NJLRsOGDY39%2B/ebbXVVm2Ec%2B/pyv379jMaNGxvR0dFGRkaGsXfv3t9c27m8b/5Ul2HY/55VVVUZzZo1M8aOHXvGek70wgsvGM2bNzeCg4ON9u3bm19rP%2B7RRx%2B19VyrzdoMwzCys7ONZs2a%2BTxSoC5re/vtt42rr77aCAkJMZo2bWr06dPH2LRp0xlrO9/PtdqqyzDsPdd2795tJCcnGyEhIUajRo2MG2%2B8sVoA/LW1neo9e/TRR89q/7XNYRiGIQAAAFiGe7AAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsNj/B9C9TdhjyXD5AAAAAElFTkSuQmCC\">\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_Observaciones\">Observaciones<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"alert\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>3448</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>44.3%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-7623058484388759873\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>2018-12-15 10:02:15 a. m. Proveedores : 17/09/2018 inspeccion invima mprogramada para las 4</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",
       "        35\n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>2017-05-26 12:19:28 p. m. Entes de Control : 8/5/2017 se recibe eur1 original y certificados de insp </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: 0.4%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        33\n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>2018-02-06 8:11:51 p. m. Cliente : 11/01/2018 se recibe doc originales en CTG Solo se recibió un bl original y se requieren 2 para la liberación</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: 0.4%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        32\n",
       "    </td>\n",
       "</tr><tr class=\"other\">\n",
       "    <th>Other values (3445)</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",
       "            7677\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-7623058484388759873, #minifreqtable-7623058484388759873\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-7623058484388759873\">\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\">2018-12-15 10:02:15 a. m. Proveedores : 17/09/2018 inspeccion invima mprogramada para las 4</td>\n",
       "        <td class=\"number\">35</td>\n",
       "        <td class=\"number\">0.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2017-05-26 12:19:28 p. m. Entes de Control : 8/5/2017 se recibe eur1 original y certificados de insp </td>\n",
       "        <td class=\"number\">33</td>\n",
       "        <td class=\"number\">0.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2018-02-06 8:11:51 p. m. Cliente : 11/01/2018 se recibe doc originales en CTG Solo se recibió un bl original y se requieren 2 para la liberación</td>\n",
       "        <td class=\"number\">32</td>\n",
       "        <td class=\"number\">0.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2018-06-02 5:47:12 p. m. Entes de Control : 13/03/2018 Pedido con selectividad Física para el día 14-03-2018 AM en CONTECAR</td>\n",
       "        <td class=\"number\">30</td>\n",
       "        <td class=\"number\">0.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2018-06-04 2:22:09 p. m. Proveedores : El sanitario original no llego con los demás documentos</td>\n",
       "        <td class=\"number\">29</td>\n",
       "        <td class=\"number\">0.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2018-12-13 6:38:37 p. m. Proveedores : 06/07/2018 inspeccion programada para las 8 am en la inspeccion no se logro identificar la totalidad de la informacion de los productos inspeccionados</td>\n",
       "        <td class=\"number\">29</td>\n",
       "        <td class=\"number\">0.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2018-06-01 5:21:34 p. m. Agencia de Aduanas (AA) : 20/02/2018 inspección realizada</td>\n",
       "        <td class=\"number\">28</td>\n",
       "        <td class=\"number\">0.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2015-10-07 2:59:00 p. m. Puertos : FLETES EL 21</td>\n",
       "        <td class=\"number\">27</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2018-12-11 10:17:15 p. m. Entes de Control :  11/12/2018 sin plataforma siglo xxi 24, 25, 26, 27 y 28</td>\n",
       "        <td class=\"number\">26</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2018-12-12 9:25:54 p. m. Proveedores : 28/07/2018 Se reciben docs. originales corregidos </td>\n",
       "        <td class=\"number\">26</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"other\">\n",
       "        <td class=\"fillremaining\">Other values (3438)</td>\n",
       "        <td class=\"number\">7482</td>\n",
       "        <td class=\"number\">96.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&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_Operacion\">Operacion<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>3448</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>44.3%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>62044</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>2344</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>93665</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-685639831120844308\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAAdZJREFUeJzt2juu00AYhuHfR7R2%2BijeBYtgT9SU7IdFsItEWYAtCgpiCshpgE8EFF%2BS5yljReNE82p8mWaapqlmdjqdqu/7uYdl447HYx0Oh1nHfDPraD%2B1bVtVP35w13VLnAIbMgxD9X3/Om/mtEggTdNUVVXXdQJZwNv3n27%2BzucP7%2B5wJre5zps5vcw%2BImyIQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCBYZKsJ27PV7Sn/ywoCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoHAZkXu5hE2OFpBIBAIBAKBQCAQCAQCgUAgEAgEAoFAIHiIN%2BmP8MaWdbKCQLC6FeRfVoNn5z%2B7n9UF8uxM9nVxiQWBQCBwiXWDWy9/PCnbPoHckfuJ7XOJBYFAIBAIBE97D%2BL%2BgL%2BxSCDTNFVV1TAMvxz79vXL3KfDivxuTlw/u86bOS0SyDiOVVXV9/0Sw7Niu49/PjaOY%2B12u/lOpqqaaYEsL5dLnc/natu2mqaZe3g2ZpqmGsex9vt9vbzMe9u8SCCwFZ5iQSAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBB8B2xcU4S1AoMdAAAAAElFTkSuQmCC\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-685639831120844308,#minihistogram-685639831120844308\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-685639831120844308\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-685639831120844308\"\n",
       "                                                  aria-controls=\"quantiles-685639831120844308\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-685639831120844308\" aria-controls=\"histogram-685639831120844308\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-685639831120844308\" aria-controls=\"common-685639831120844308\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-685639831120844308\" aria-controls=\"extreme-685639831120844308\"\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-685639831120844308\">\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>2344</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>10192</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>51984</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>70491</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>80166</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>88790</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>93665</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>91321</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>28182</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>25284</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.40752</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-0.13272</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>62044</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>20436</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>-1.0692</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>482514154</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>639280000</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>60.8 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-685639831120844308\">\n",
       "            <img 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N7ZmamMjMz9dVXX6lfv36SpA8//FDPP/%2B8Zs%2Be7UZLAAAA1rgSsEaNGqVz584pOztbv/nNbyRJrVu31ksvvaSf//znbrQEAABgjSsBS5LGjRuncePGqaSkRE2bNtWNN97oVisAAABWuRawLomLi3O7BQAAAKtcucn9%2BPHj%2Bud//mfdfPPNatKkicLDw4MeAAAADZkrZ7BGjhypv/zlL/r1r3%2BtuLg4eTweN9oAAACoFa4ErLVr12rt2rXq2rWrG7sHAACoVa5cImzdujVnrQAAQKPlSsB68cUXNXXqVB05csSN3QMAANQqVy4RZmRk6NSpU2rTpo2ioqIUFhYWtL6srMyNtgAAAKxwJWDNmjXLjd0CAADUCVcC1uOPP%2B7GbgEAAOqEK/dgSdKBAwc0Y8YMZWRkOJcEc3NztWfPHrdaAgAAsMKVgLVu3Trddtttys/P15///GedPn1akrR161Y988wzbrQEAABgjSsB6%2Bmnn9aMGTP08ccfB83c3q9fP23YsMGNlgAAAKxxJWBt375d//iP/1hjeUxMjI4fP%2B5CRwAAAPa4ErBuvPFGlZaW1lheXFysVq1audARAACAPa4ErIcfflhTpkzR8ePHnRndN27cqEmTJmn48OFutAQAAGCNKwErOztbfr9fcXFxOn36tDp16qQePXrozjvv1L/%2B67%2B60RIAAIA1rsyDFR4eriVLluizzz7T1q1bdfHiRd1xxx3q0KGDG%2B0AAABY5UrAuqR9%2B/Zq3769my0AAABY50rA%2BuUvf/k317/66qt11AkAAIB9rgSskpKSoOfV1dXatWuXTp06pbvvvtuNlgAAAKxxJWC9//77NZadP39ev/rVr9SxY0cXOgIAALDHtd8ivFxoaKgmTZqk3/3ud263AgAA8IPUm4AlSV988YWqq6vdbgMAAOAHceUS4eTJk4OeG2NUUlKiFStW6NFHH3WjJQAAAGtcCViFhYVBz2%2B44QbddNNNmjVrlkaNGuVGSwAAANa4ErDWrVvnxm4BAADqRL26BwsAAKAxcOUM1p133un8yPPVbNq0qZa7AQAAsMuVgNW3b1/94Q9/UPv27ZWamipJ2rBhg/bu3avRo0fL6/W60RYAAIAVrgSskydP6sknn1R2dnbQ8unTp%2BvLL7/Uf/7nf7rRFgAAgBUeY4yp653eeOON2rx5s9q1axe0fN%2B%2BfUpJSVEgEKjrlmpVRUWFfD6fAoGAoqKi3G4HAOqNlOmr3W4B9cSWmf2tb9PNz19XbnL3er0qKCiosbygoIDLgwAAoMFz5RLh%2BPHjNWbMGG3btk3du3eX9M09WAsWLNC0adPcaAkAAMAaVwLW9OnTlZiYqH//93/X66%2B/Lknq2LGjFixYoGHDhrnREgAAgDWuBCxJGjZsGGEKAAA0Sq5NNFpRUaE333xTzzzzjMrLyyVJn376qUpKStxqCQAAwApXAtbOnTvVvn17Pfvss8rJyXEC1p///GdNmTLlmrezdu1aDR48WPHx8fJ4PHrvvfeC1htjNGPGDMXHx6tp06bq06ePdu3aFVRTXl6ujIwM%2BXw%2B%2BXw%2BZWRk6OTJk0E1O3bsUO/evdW0aVO1atVKzz77rFz48iUAAGggXAlYTz31lIYNG6a//OUvatKkibN84MCBWrt27TVv58yZM%2BrSpYvmzZt3xfXPP/%2B85syZo3nz5mnz5s3y%2B/267777dOrUKadm2LBhKi4u1urVq7V69WoVFxcrIyPDWV9RUaH77rtP8fHx2rx5s/7jP/5Ds2fP1pw5c/6OIwcAANcDV%2B7B2rx5s%2BbPn1/j53JatWr1vS4RDhgwQAMGDLjiOmOM5s6dq%2BnTp2vo0KGSpLfeekuxsbF65513NHr0aO3Zs0erV6/Whg0b1K1bN0nSggULlJqaqr179%2BrWW2/VokWLdO7cOb355pvyer1KSkrSZ599pjlz5igrK%2Buaf/IHAABcP1w5gxUeHq7Tp0/XWL5v3z5FR0db2cf%2B/ftVWlqqtLQ0Z5nX61Xv3r2dObgKCwvl8/mccCVJ3bt3l8/nC6rp3bt30Pxc6enpOnbsmA4cOHDFfVdWVqqioiLoAQAArh%2BuBKwhQ4bot7/9rc6fPy9J8ng8Onr0qKZMmeKcbfqhSktLJUmxsbFBy2NjY511paWliomJqfHamJiYoJorbePb%2B7hcTk6Oc0%2BXz%2BdTQkLCDzsYAADQoLgSsF544QUdO3ZMfr9fZ8%2BeVb9%2B/dS2bVs1adKkxu8T/lCXX8IzxgQtu9IlvqvVXLrB/bsuD06dOlWBQMB5HD58%2BO/uHwAANDyu3IN16RJcXl6etm7dqosXL%2BqOO%2B5Qenq6tXua/H6/pG/OMsXFxTnLy8rKnDNQfr9fX375ZY3XHj9%2BPKjm8jNVZWVlkmqeHbvE6/Xykz8AAFzH6vwMVnV1te677z59/vnnSktL05QpUzRt2jT179/f6g3jiYmJ8vv9ysvLc5ZVVVUpPz9fPXr0kCSlpqYqEAho06ZNTs3GjRsVCASCatauXauqqiqnJjc3V/Hx8brlllus9QsAABqPOg9YYWFh2rZtm5Uwdfr0aRUXF6u4uFjSNze2FxcX69ChQ/J4PMrMzFR2draWL1%2BunTt3auTIkWrWrJkzg3zHjh3Vv39/jRo1Shs2bNCGDRs0atQoDRo0SLfeequkb6Zx8Hq9GjlypHbu3Knly5crOzubbxACAIDv5Mo9WMOHD9cbb7zxg7ezZcsWde3aVV27dpUkZWVlqWvXrnrmmWckSZMnT1ZmZqaeeOIJpaSk6OjRo8rNzVVkZKSzjUWLFqlz585KS0tTWlqabr/9dr399tvOep/Pp7y8PB05ckQpKSl64oknlJWVpaysrB/cPwAAaJw8xoUpyTMzM/XGG2%2BoQ4cOSklJUURERND6559/vq5bqlUVFRXy%2BXwKBAKKiopyux0AqDdSpq92uwXUE1tm9re%2BTTc/f125yb2oqEi33367JGn79u1B67jsBgAAGro6DVhffPGFEhMTtW7durrcLQAAQJ2q03uw2rVrp%2BPHjzvPH3rooStOkwAAANCQ1WnAuvx2r1WrVunMmTN12QIAAECtc%2BVbhAAAAI1ZnQYsj8dT4yZ2bmoHAACNTZ3e5G6M0ciRI52fkTl37pzGjBlTY5qGZcuW1WVbAAAAVtVpwBoxYkTQ8%2BHDh9fl7gEAAOpEnQYsG7O3AwAA1Hfc5A4AAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAy0LdbgDXj5Tpq91u4XvZMrO/2y0AABoozmABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwLJGHbBmzJghj8cT9PD7/c56Y4xmzJih%2BPh4NW3aVH369NGuXbuCtlFeXq6MjAz5fD75fD5lZGTo5MmTdX0oAACgAQl1u4Hadtttt2nNmjXO85CQEOfv559/XnPmzNGbb76p9u3b67nnntN9992nvXv3KjIyUpI0bNgwHTlyRKtXr5Yk/fKXv1RGRobef//9uj2Q75AyfbXbLQAAgMs0%2BoAVGhoadNbqEmOM5s6dq%2BnTp2vo0KGSpLfeekuxsbF65513NHr0aO3Zs0erV6/Whg0b1K1bN0nSggULlJqaqr179%2BrWW2%2Bt02MBAAANQ6MPWPv27VN8fLy8Xq%2B6deum7OxstW3bVvv371dpaanS0tKcWq/Xq969e6ugoECjR49WYWGhfD6fE64kqXv37vL5fCooKPjOgFVZWanKykrneUVFRe0dIABchjPbgPsa9T1Y3bp10x//%2BEd98MEHWrBggUpLS9WjRw999dVXKi0tlSTFxsYGvSY2NtZZV1paqpiYmBrbjYmJcWquJCcnx7lny%2BfzKSEhweJRAQCA%2Bq5RB6wBAwbogQceUOfOnXXvvfdq5cqVkr65FHiJx%2BMJeo0xJmjZ5euvVHO5qVOnKhAIOI/Dhw//0EMBAAANSKMOWJeLiIhQ586dtW/fPue%2BrMvPRJWVlTlntfx%2Bv7788ssa2zl%2B/HiNM1/f5vV6FRUVFfQAAADXj%2BsqYFVWVmrPnj2Ki4tTYmKi/H6/8vLynPVVVVXKz89Xjx49JEmpqakKBALatGmTU7Nx40YFAgGnBgAA4HKN%2Bib3SZMmafDgwbr55ptVVlam5557ThUVFRoxYoQ8Ho8yMzOVnZ2tdu3aqV27dsrOzlazZs00bNgwSVLHjh3Vv39/jRo1Sn/4wx8kfTNNw6BBg/gGIXAd4aZxAN9Xow5YR44c0SOPPKITJ07opptuUvfu3bVhwwa1adNGkjR58mSdPXtWTzzxhMrLy9WtWzfl5uY6c2BJ0qJFizR%2B/Hjn24ZDhgzRvHnzXDkeAADQMHiMMcbtJhq7iooK%2BXw%2BBQIB6/dj8S/r2rNlZn%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%2BXdu2bdNdd92lAQMG6NChQ263BgAA6iEC1jWYM2eOHn/8cf3iF79Qx44dNXfuXCUkJGj%2B/PlutwYAAOohJhq9iqqqKhUVFWnKlClBy9PS0lRQUHDF11RWVqqystJ5HggEJEkVFRXW%2B7tQecb6NgEAqGu18Rl5aZvGGOvbvhoC1lWcOHFCFy5cUGxsbNDy2NhYlZaWXvE1OTk5%2Brd/%2B7cayxMSEmqlRwAAGjrfC7W37VOnTsnn89XeDq6AgHWNPB5P0HNjTI1ll0ydOlVZWVnO84sXL%2Brrr79Wy5Ytv/M1l1RUVCghIUGHDx9WVFTUD28c14yxdxfj7x7G3l2Mf%2B0xxujUqVOKj4%2Bv830TsK4iOjpaISEhNc5WlZWV1TirdYnX65XX6w1aduONN36v/UZFRfEfmksYe3cx/u5h7N3F%2BNeOuj5zdQk3uV9FeHi4kpOTlZeXF7Q8Ly9PPXr0cKkrAABQn3EG6xpkZWUpIyNDKSkpSk1N1auvvqpDhw5pzJgxbrcGAADqoZAZM2bMcLuJ%2Bi4pKUktW7ZUdna2Zs%2BerbNnz%2Brtt99Wly5damV/ISEh6tOnj0JDyb91jbF3F%2BPvHsbeXYx/4%2BMxbnx3EQAAoBHjHiwAAADLCFgAAACWEbAAAAAsI2ABAABYRsCqR15%2B%2BWUlJiaqSZMmSk5O1rp169xuqV7LycnRnXfeqcjISMXExOj%2B%2B%2B/X3r17g2oqKys1btw4RUdHKyIiQkOGDNGRI0eCag4dOqTBgwcrIiJC0dHRGj9%2BvKqqqoJq8vPzlZycrCZNmqht27Z65ZVXavRzvb9/OTk58ng8yszMdJYx/rXn6NGjGj58uFq2bKlmzZrpJz/5iYqKipz1xhjNmDFD8fHxatq0qfr06aNdu3YFbaO8vFwZGRny%2BXzy%2BXzKyMjQyZMng2p27Nih3r17q2nTpmrVqpWeffbZGr/rtnTpUnXq1Eler1edOnXS8uXLa%2B/A64Hz58/rX/7lX5SYmKimTZuqbdu2evZ3sOvPAAAI4klEQVTZZ3Xx4kWnhvGHDOqFxYsXm7CwMLNgwQKze/duM2HCBBMREWEOHjzodmv1Vnp6unnjjTfMzp07TXFxsRk4cKC5%2BeabzenTp52aMWPGmFatWpm8vDyzdetW07dvX9OlSxdz/vx5Y4wx58%2BfN0lJSaZv375m69atJi8vz8THx5uxY8c62/jiiy9Ms2bNzIQJE8zu3bvNggULTFhYmPmv//ovp%2BZ6f/82bdpkbrnlFnP77bebCRMmOMsZ/9rx9ddfmzZt2piRI0eajRs3mv3795s1a9aYzz//3KmZNWuWiYyMNEuXLjU7duwwDz30kImLizMVFRVOTf/%2B/U1SUpIpKCgwBQUFJikpyQwaNMhZHwgETGxsrHn44YfNjh07zNKlS01kZKSZPXu2U1NQUGBCQkJMdna22bNnj8nOzjahoaFmw4YNdTMYLnjuuedMy5YtzX//93%2Bb/fv3m3fffdf86Ec/MnPnznVqGH8QsOqJf/iHfzBjxowJWtahQwczZcoUlzpqeMrKyowkk5%2Bfb4wx5uTJkyYsLMwsXrzYqTl69Ki54YYbzOrVq40xxqxatcrccMMN5ujRo07Nn/70J%2BP1ek0gEDDGGDN58mTToUOHoH2NHj3adO/e3Xl%2BPb9/p06dMu3atTN5eXmmd%2B/eTsBi/GvP008/bXr16vWd6y9evGj8fr%2BZNWuWs%2BzcuXPG5/OZV155xRhjzO7du42koA/iwsJCI8n83//9nzHGmJdfftn4fD5z7tw5pyYnJ8fEx8ebixcvGmOMefDBB03//v2D9p%2Benm4efvjhH36g9dTAgQPNz3/%2B86BlQ4cONcOHDzfGMP74BpcI64GqqioVFRUpLS0taHlaWpoKCgpc6qrhCQQCkqQWLVpIkoqKilRdXR00rvHx8UpKSnLGtbCwUElJSUE/BJqenq7KykrnckthYWGN9yY9PV1btmxRdXX1df/%2BPfnkkxo4cKDuvffeoOWMf%2B1ZsWKFUlJS9E//9E%2BKiYlR165dtWDBAmf9/v37VVpaGjQmXq9XvXv3Dhp7n8%2Bnbt26OTXdu3eXz%2BcLqundu3fQb6ump6fr2LFjOnDggFNzpfensY69JPXq1UsffvihPvvsM0nSp59%2BqvXr1%2BunP/2pJMYf32DK2HrgxIkTunDhQo0fj46Nja3xI9O4MmOMsrKy1KtXLyUlJUmSSktLFR4erubNmwfVfntcS0tLa4x78%2BbNFR4e/jdrYmNjdf78eZ04cULGmOv2/Vu8eLGKioq0ZcuWGusY/9rzxRdfaP78%2BcrKytK0adO0adMmjR8/Xl6vV4899phz3Fcak4MHD0r6ZlxjYmJqbDsmJiZo7G%2B55ZYa27i0LjEx8Tvfn8Y69pL09NNPKxAIqEOHDgoJCdGFCxc0c%2BZMPfLII5LE%2BEMSAate8Xg8Qc%2BNMTWW4crGjh2r7du3a/369VetvXxcrzTGV6sx//8mU4/HE/T339pGY3P48GFNmDBBubm5atKkyTW/jvH/4S5evKiUlBRlZ2dLkrp27apdu3Zp/vz5euyxx5y6q43JDx37a91PY7NkyRItXLhQ77zzjm677TYVFxcrMzNT8fHxGjFihFPH%2BF/fuERYD0RHRyskJKTGvzjKyspq/MsENY0bN04rVqzQxx9/rNatWzvL/X6/qqqqVF5eHlT/7XH1%2B/01xr28vFzV1dV/s6asrEyhoaFq2bLldfv%2BFRUVqaysTMnJyQoNDVVoaKjy8/P10ksvKTQ0VLGxsYx/LYmLi1OnTp2ClnXs2FGHDh2S9M2YSfqbY%2BL3%2B/Xll1/W2Pbx48evOvaSrlrTWMdekn79619rypQpevjhh9W5c2dlZGToqaeeUk5OjiTGH98gYNUD4eHhSk5OVl5eXtDyvLw89ejRw6Wu6j9jjMaOHatly5bpo48%2BUmJiYtD65ORkhYWFBY1rSUmJdu7c6Yxramqqdu7cqZKSEqcmNzdXXq9XycnJTs3l701ubq5SUlIUFhZ23b5/99xzj3bs2KHi4mLnkZKSokcffdT5m/GvHT179qwxJclnn32mNm3aSJISExPl9/uDxqSqqkr5%2BflBYx8IBLRp0yanZuPGjQoEAkE1a9euDZo2Izc3V/Hx8c6lq%2B96fxrr2EvSX//6V91wQ/DHZ0hIiDNNA%2BMPSUzTUF9c%2Bpr5a6%2B9Znbv3m0yMzNNRESEOXDggNut1Vu/%2BtWvjM/nM5988okpKSlxHn/961%2BdmjFjxpjWrVubNWvWmK1bt5p%2B/fpdcZqAe%2B65x2zdutWsWbPGtG7d%2BorTBDz11FNm9%2B7d5rXXXvvOaQKu9/fv298iNIbxry2bNm0yoaGhZubMmWbfvn1m0aJFplmzZmbhwoVOzaxZs4zP5zPLli0zO3bsMI888sgVpwm4/fbbTWFhoSksLDSdO3cOmibg5MmTJjY21jzyyCNmx44dZtmyZSYqKipomoD//d//NSEhIWbWrFlmz549ZtasWY1%2BmoARI0aYVq1aOdM0LFu2zERHR5vJkyc7NYw/CFj1yO9//3vTpk0bEx4ebu644w5nugFcmaQrPt544w2n5uzZs2bs2LGmRYsWpmnTpmbQoEHm0KFDQds5ePCgGThwoGnatKlp0aKFGTt2bNDXoo0x5pNPPjFdu3Y14eHh5pZbbjHz58%2Bv0Q/vX82AxfjXnvfff98kJSUZr9drOnToYF599dWg9RcvXjS/%2Bc1vjN/vN16v19x9991mx44dQTVfffWVefTRR01kZKSJjIw0jz76qCkvLw%2Bq2b59u7nrrruM1%2Bs1fr/fzJgxw5ki4JJ3333X3HrrrSYsLMx06NDBLF26tHYOup6oqKgwEyZMMDfffLNp0qSJadu2rZk%2BfbqprKx0ahh/eIy5bEpYAAAA/CDcgwUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwLL/B3q/oS5uFMEyAAAAAElFTkSuQmCC\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-685639831120844308\">\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\">84355</td>\n",
       "        <td class=\"number\">35</td>\n",
       "        <td class=\"number\">0.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">53274</td>\n",
       "        <td class=\"number\">33</td>\n",
       "        <td class=\"number\">0.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">67751</td>\n",
       "        <td class=\"number\">32</td>\n",
       "        <td class=\"number\">0.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">71789</td>\n",
       "        <td class=\"number\">30</td>\n",
       "        <td class=\"number\">0.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">72045</td>\n",
       "        <td class=\"number\">29</td>\n",
       "        <td class=\"number\">0.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">78050</td>\n",
       "        <td class=\"number\">29</td>\n",
       "        <td class=\"number\">0.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">69493</td>\n",
       "        <td class=\"number\">28</td>\n",
       "        <td class=\"number\">0.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">17257</td>\n",
       "        <td class=\"number\">27</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">79461</td>\n",
       "        <td class=\"number\">26</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">89589</td>\n",
       "        <td class=\"number\">26</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"other\">\n",
       "        <td class=\"fillremaining\">Other values (3438)</td>\n",
       "        <td class=\"number\">7482</td>\n",
       "        <td class=\"number\">96.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-685639831120844308\">\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\">2344</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\">2406</td>\n",
       "        <td class=\"number\">2</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\">2449</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\">2450</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\">2458</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\">93430</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:34%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">93433</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:34%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">93435</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:34%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">93508</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">0.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:67%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">93665</td>\n",
       "        <td class=\"number\">3</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_Puerto\">Puerto<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>8</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-3666068535841368019\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>CTG</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: 75.4%\">\n",
       "            5865\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>BOG</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: 10.3%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        801\n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>BUN</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:8%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 6.0%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        469\n",
       "    </td>\n",
       "</tr><tr class=\"other\">\n",
       "    <th>Other values (5)</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:11%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 8.3%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        642\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-3666068535841368019, #minifreqtable-3666068535841368019\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-3666068535841368019\">\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\">CTG</td>\n",
       "        <td class=\"number\">5865</td>\n",
       "        <td class=\"number\">75.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">BOG</td>\n",
       "        <td class=\"number\">801</td>\n",
       "        <td class=\"number\">10.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">BUN</td>\n",
       "        <td class=\"number\">469</td>\n",
       "        <td class=\"number\">6.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:8%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">MDE</td>\n",
       "        <td class=\"number\">454</td>\n",
       "        <td class=\"number\">5.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:8%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">BAQ</td>\n",
       "        <td class=\"number\">152</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\">CLO</td>\n",
       "        <td class=\"number\">28</td>\n",
       "        <td class=\"number\">0.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">IPI</td>\n",
       "        <td class=\"number\">4</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">APO</td>\n",
       "        <td class=\"number\">4</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_Servicio\">Servicio<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>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable8218734152104501877\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>Importación Marítima</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: 82.9%\">\n",
       "            6449\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>Importación Aérea</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:19%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 15.6%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        1217\n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>Importación Terrestre</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",
       "        111\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=\"#freqtable8218734152104501877, #minifreqtable8218734152104501877\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable8218734152104501877\">\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\">Importación Marítima</td>\n",
       "        <td class=\"number\">6449</td>\n",
       "        <td class=\"number\">82.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Importación Aérea</td>\n",
       "        <td class=\"number\">1217</td>\n",
       "        <td class=\"number\">15.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Importación Terrestre</td>\n",
       "        <td class=\"number\">111</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_Trafico\">Trafico<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>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable2685516742357433951\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>Marítimo</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: 82.9%\">\n",
       "            6449\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>Aéreo</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:19%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 15.6%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        1217\n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>Terrestre</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",
       "        111\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=\"#freqtable2685516742357433951, #minifreqtable2685516742357433951\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable2685516742357433951\">\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\">Marítimo</td>\n",
       "        <td class=\"number\">6449</td>\n",
       "        <td class=\"number\">82.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Aéreo</td>\n",
       "        <td class=\"number\">1217</td>\n",
       "        <td class=\"number\">15.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Terrestre</td>\n",
       "        <td class=\"number\">111</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>\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Correlations</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <img 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AADWooEzjRUEAACwGRo4AABgLRo40whwAADAWgQ401hBAAAAm6GBAwAA1qKBM40VBAAAsBkaOAAAYC0aONMIcAAAwFoEONNYQQAAAJuhgQMAANaigTONFQQAALAZGjgAAGAtGjjTCHAAAMBaBDjTWEEAAACboYEDAADWooEzjRUEAACwGRo4AABgLRo40whwAADAWgQ401hBAAAAm6GBAwAA1qKBM40ABwAArEWAM40VBAAAsBkaOAAAYC0aONNYQQAAAJuhgQMAANaigTONAAcAAKxFgDONFQQAALAZGjgAAGAtGjjTWEEAAACboYEDAADWooEzjQAHAACsRYAzjQAHAACueCdPntTTTz%2Bt9PR01a5dW/369dOkSZPk7e0alRITE/X111%2B7jBUVFSkhIUHPPPOM8vLy1LlzZwUEBDiPBwcHa8OGDTU6XwIcAACwlgc2cOPHj1ejRo20adMm5eXladSoUVq0aJESExNdzvvHP/7h8vWyZcuUmpqqpKQkSdLOnTvVtGnTGg9sv%2BR5KwgAAGChw4cPKz09XU888YT8/f3VrFkzjR49WosXL/7V6w4cOKDp06crJSVFoaGhks4FuLZt2172OdPAAQAAa12GBi4nJ0e5ubkuYyEhIc5g9Wv27dunoKAgNWrUyDkWHh6uo0eP6vTp06pfv36V102bNk0DBgxQdHS0c2znzp366aef1LdvX%2BXl5aldu3aaNGmSWrRocYk/WdUIcAAAwFqXIcAtXbpUqampLmNJSUlKTk7%2BzWsLCwvl7%2B/vMnb%2B66KioioD3FdffaUdO3YoJSXFZbx%2B/fpq0aKFRo4cqTp16ujVV1/ViBEjtGbNGtWrV%2B9if6wLIsABAADbS0hIUGxsrMtYSEhIta4NCAhQcXGxy9j5rwMDA6u8ZunSperdu3el7/Hiiy%2B6fD158mQtX75cX331lbp161at%2BVQHAQ4AAFjrMjRwoaGh1dourUrLli116tQp5eXlqWHDhpKk/fv3q3HjxlW2ZmVlZVq/fr3mzp3rMl5QUKC5c%2Bdq2LBhatq0qSSpvLxcZWVl8vPzu6S5XQgPMQAAgCtaWFiYOnbsqOeee04FBQXKzs7WvHnzFB8fX%2BX5e/bs0dmzZ9WhQweX8bp16%2Bo///mPZs2apTNnzqiwsFDTp0/Xtdde6/I%2BuZpAgAMAANaqVavmXybNnj1bZWVl6t69u4YMGaIuXbpo9OjRkqSoqCitWrXKeW52drYaNGggX1/fSveZN2%2BeKioq1KNHD3Xp0kW5ublKS0uTj4%2BP6Tn%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%2Bvzzz%2BXJJWXl2vWrFm6/fbbFRUVpVGjRiknJ6fG50uAAwAA1qpVq%2BZfJo0fP14BAQHatGmTli1bpi%2B//FKLFi2q8txvv/1WCxYsUEZGhvPVtWtXSdJrr72mL774QsuXL9emTZvk5%2Benp556yvT8fokABwAArmiHDx9Wenq6nnjiCfn7%2B6tZs2YaPXq0Fi9eXOnc7Oxs/fTTT7rpppuqvNd7772nkSNH6pprrlHdunX15JNP6vPPP1d2dnaNzpn3wAEAAGtdhvfA5eTkKDc312UsJCREoaGhv3ntvn37FBQUpEaNGjnHwsPDdfToUZ0%2BfVr169d3ju/cuVOBgYGaMGGCdu7cqYYNG%2BrBBx9UfHy8zpw5o%2BPHjysiIsJ5fsOGDdWgQQPt2bNHzZo1q4Gf9BwCHAAAsNZlCHBLly5Vamqqy1hSUpKSk5N/89rCwkL5%2B/u7jJ3/uqioyCXAlZaWKjIyUhMmTFDLli21ZcsWJScnKzAwUFFRUZKkgIAAl3v5%2BfmpsLDwkn6uCyHAAQAA20tISFBsbKzLWEhISLWuDQgIUHFxscvY%2Ba8DAwNdxgcMGKABAwY4v77jjjs0YMAAffjhh7r99ttdrj2vpKSk0n3MIsABAABrXYYGLjQ0tFrbpVVp2bKlTp06pby8PDVs2FCStH//fjVu3Fj16tVzOXfZsmUKDAxU7969nWOlpaXy9fVVgwYN1KhRI2VlZTm3UXNzc3Xq1CmXbdWawEMMAADgihYWFqaOHTvqueeeU0FBgbKzszVv3jzFx8dXOregoEDTp0/X7t27VVFRoc8%2B%2B0z/%2Bte/lJCQIEkaOHCgXnvtNWVnZ6ugoEDPPfecOnXqpOuuu65G50wDBwAArOWBH%2BQ7e/ZsPfPMM%2Brevbtq1aqlAQMGaPTo0ZKkqKgoTZs2Tf369dMDDzygoqIiJSUl6eTJk2rWrJlmzZql6OhoSdKYMWNUVlam%2B%2B67T4WFhYqJidErr7xS4/P1MgzDqPG7wpWXl7tnANhfVJS0bZvUoYOUkeHu2QC/D%2B6KADNn1vw9J0%2Bu%2BXt6MM%2BLwAAAAPhVbKECAABreeAWqt2wggAAADZDAwcAAKxFA2caAQ4AAFiLAGcaKwgAAGAzNHAAAMBaNHCmsYIAAAA2QwMHAACsRQNnGgEOAABYiwBnGisIAABgMzRwAADAWjRwphHgAACAtQhwprGCAAAANkMDBwAArEUDZxorCAAAYDM0cAAAwFo0cKYR4AAAgLUIcKaxggAAADZDAwcAAKxFA2caKwgAAGAzNHAAAMBaNHCmEeAAAIC1CHCmsYIAAAA2QwMHAACsRQNnGisIAABgMzRwAADAWjRwphHgAACAtQhwprGCAAAANkMDBwAArEUDZxorCAAAYDM0cAAAwFo0cKYR4AAAgLUIcKaxggAAADZDAwcAAKxFA2caKwgAAGAzNHAAAMBaNHCmEeAAAIC1CHCmsYIAAAA2QwMHAACsRQNnGisIAABgMzRwAADAWjRwphHgAACAtQhwphHgAADAFe/kyZN6%2BumnlZ6ertq1a6tfv36aNGmSvL0rR6V33nlHixYtUk5OjkJDQzV8%2BHDdd999kqSKigp17NhRhmHIy8vLec0XX3yhgICAGpsvAQ4AAFjLAxu48ePHq1GjRtq0aZPy8vI0atQoLVq0SImJiS7nffLJJ3rppZeUlpamm2%2B%2BWdu3b9cjjzyihg0bqlevXsrKypLD4dC2bdtUp06dyzZfz1tBAAAACx0%2BfFjp6el64okn5O/vr2bNmmn06NFavHhxpXNPnDihkSNHKjIyUl5eXoqKilJMTIy2bt0qSdq5c6datWp1WcObRAMHAACsdhkauJycHOXm5rqMhYSEKDQ09Dev3bdvn4KCgtSoUSPnWHh4uI4eParTp0%2Brfv36zvHzW6XnnTx5Ulu3btXkyZMlnQtwZ8%2Be1aBBg/TDDz8oPDxcjz/%2BuDp06GDmx6uEAAcAAKx1GQLc0qVLlZqa6jKWlJSk5OTk37y2sLBQ/v7%2BLmPnvy4qKnIJcD%2BXm5urRx99VG3btlXfvn0lSX5%2Bfmrfvr3GjRunBg0aaPHixXr44Ye1atUqNWvW7FJ%2BtCoR4AAAgO0lJCQoNjbWZSwkJKRa1wYEBKi4uNhl7PzXgYGBVV6zfft2jRs3TtHR0Zo5c6bzYYe//OUvLuc9/PDDWrFihTZu3Khhw4ZVaz7VQYADAADWugwNXGhoaLW2S6vSsmVLnTp1Snl5eWrYsKEkaf/%2B/WrcuLHq1atX6fxly5bp2Wef1dixY/XQQw%2B5HHv55ZfVq1cv3XTTTc6x0tJS%2Bfr6XtLcLoSHGAAAwBUtLCxMHTt21HPPPaeCggJlZ2dr3rx5io%2BPr3Tu2rVrNXXqVM2ZM6dSeJOkvXv3asaMGcrNzVVpaalSU1NVUFCgnj171uicCXAAAMBatWrV/Muk2bNnq6ysTN27d9eQIUPUpUsXjR49WpIUFRWlVatWSZJSU1NVXl6usWPHKioqyvn629/%2BJkmaOXOmrrvuOvXv318xMTFKT0/XG2%2B8oaCgINNz/DkvwzCMGr0jKvvZB/kBuERRUdK2bVKHDlJGhrtnA/w%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%2B/GJv%2Bfsn8eLFy%2BwrKurcP09RUe6fCy9ev5eXu5SV1fzLpGHDhhmPP/64UVRUZHz//fdGnz59jLS0tErnHTx40GjXrp3x8ccfGw6Hw/jggw%2BM9u3bO/PPihUrjC5duhh79%2B41SkpKjJkzZxp9%2BvQxKioqTM/x5y7q/72zZ88at99%2BuzF37txKx8rLy42EhARj3LhxxvLly43BgwcbTz/9tBEVFWV07tzZmDt3rnPyZ8%2BeNV555RUjNjbWuOWWW4zExETj0KFDzntFREQY06dPNzp16mQ8%2BuijRkVFhTF//nyjb9%2B%2BRseOHY3o6GjjscceM4qLiw3DMAyHw2G88sorRteuXY2oqChj6NChxnfffWcYxrn/Q2bPnu2c4/z5843u3bsbHTp0MAYNGmR8/vnnzu/brVs34/XXXzf69%2B9vREZGGv379ze%2B/PLLi1zSKrj7H1BevH4PLwIcL141/3IXDwtwhw4dMiIiIlxKqA8%2B%2BMC46667Kp370ksvGSNGjHAZe/jhh41XX33VMAzDuPfee43XXnvNeay0tNSIioqqmTzxMxf1HriMjAzl5eVpwIABlY7VqlVL8fHxmjp1qjp37qwdO3YoKipKX375pfbu3avExESFhIRo8ODBevnll7V582YtWrRIoaGhSktL00MPPaQ1a9bI19dXkvT999/rs88%2Bk8Ph0Icffqg333xTb7/9tsLCwrR//34NHTpUq1ev1uDBg/Xaa6/pX//6lxYsWKDmzZsrNTVVjz76qDZs2OAyx7lz52rZsmWaN2%2BeWrVqpXXr1mn06NFavHix2rdvL0lavny50tLSFBoaqmnTpmnq1Kn66KOPqr1GOTk5ys3NdRkLad5coUFBF7PUAH6pdWvX/wVgTkaG%2B773ZXgPXJV//4aEKDQ09Dev3bdvn4KCgtSoUSPnWHh4uI4eParTp0%2Brfv36zvGsrCxFRES4XN%2BiRQtlZmY6j48cOdJ5zMfHR2FhYcrMzNStt956ST9bVS4qwOXk5EiSGjZsWOXx0NBQORwO/fjjjwoKCtLEiRPl4%2BOjdu3aKSEhQatWrVJ8fLyWLFmi2bNnq1mzZpKkMWPG6N1339Vnn32mXr16SZL69u0rf39/%2Bfv7q2vXrurQoYMaN26s/Px85/1PnDghSVq5cqUeffRRtWjRQpI0atQo3XnnnTIMw2V%2By5cv1yOPPKI2bdpIku4Z9EozAAAeoElEQVS%2B%2B26tXbtWy5Ytcwa4%2BPh4XX/99ZKkuLg4vf/%2B%2BxezRFq6dKlSU1NdxpLGjVPyuHEXdR8AF/C//%2BvuGQC/D15ebvvWhmr%2Be1f5929SkpKTk3/z2sLCQvn7%2B7uMnf%2B6qKjIJcBVda6fn5%2BKioqqdbymXFSACwkJkSQdPXpUYWFhlY4fOXJEPj4%2BCg4OVtOmTeXj4%2BM8ds0112jt2rXKz89XUVGRxo0bp1o/S%2BAOh0M//PCD8%2BufJ2bDMPTyyy/r008/1VVXXaUbb7xRDofDGdByc3PVpEkT5/l16tRRZGRkpfnl5eU5Q%2BN51157rTM1S67h1Nvbu1II/C0JCQmKjY11GQuJi5P%2B538u6j4AfqF163PhbehQ6Wf/zAKAdIG/f/8vt/yWgIAAFRcXu4yd/zowMNBl3N/fXyUlJS5jJSUlzvN%2B63hNuagA17FjR4WEhGjZsmWaOHGiy7Hy8nKtWLFCsbGxql27tnJycmQYhrz%2BL%2BEfOXJETZo0UXBwsHx9fbVw4UKXkHXgwAGX6tLrZ/9lkJKSoqNHj2rDhg2qW7eupHPt2HnXXHONjh075vza4XDohRdeUGJiosscmzZtquzsbJex7OzsatWr1RUaGlr5fgcP1tj9gSteZqZ7t34AmFZRUfP3rPLv32pq2bKlTp06pby8PGeRs3//fjVu3Fj16tVzOTciIkK7du1yGcvKylLbtm2d99q3b5%2B6desm6VwmOXToUKVtV7MuahPax8dHM2fO1Ntvv62XX35ZJ06cUEVFhbKyspSUlKTjx49r8uTJks61Yn//%2B9/lcDj0zTff6L333tPgwYOd75V78cUXdfz4cVVUVGjlypXq27evDh8%2BXOX3LSgokK%2Bvr2rXrq2zZ89q4cKF2rt3rxwOhyRp4MCBWrBggQ4ePKiysjLNnz9fn3zyiYKDg13uM3jwYP3973/Xrl27VF5erg8//FAbNmzQPffccylrBwAALkFFRc2/zAgLC1PHjh313HPPqaCgQNnZ2Zo3b57i4%2BMrnduvXz%2Blp6drzZo1Kisr05o1a5Senq7%2B/ftLkgYNGqS3335bmZmZOnv2rF588UU1bNhQ0dHR5ib5Cxf9Qb5dunTRkiVLNH/%2BfA0aNEgFBQVq2LChunfvrhkzZuiqq66SdK62PHLkiO644w4FBgZq3LhxuvvuuyVJkyZN0pw5czR06FCdOnVKzZo10%2BzZs3XTTTdV%2BT3Hjx%2BvyZMn6/bbb1dAQIA6duyo/v37a%2B/evZLOfdZbWVmZHn74Yf30009q166d0tLSXLZwJWnEiBGqqKjQhAkTlJubq%2Buvv14vvfSSOnXqdLHLAAAAfkdmz56tZ555Rt27d1etWrU0YMAAjR49WpIUFRWladOmqV%2B/fgoPD9fcuXOVkpKiJ598Uk2bNtWcOXPUvHlzSefeS3/mzBmNGTNG%2Bfn5ateunebPn18pk5jlZVzsm7yqYcWKFUpNTa30FOgVy41vFAV%2BN6KipG3bpA4d2EIFakrNR4BqOXu25u/5fx9iccXgd1kAAADYDL8LFQAAWOpyPMRwpbksW6j4BbZQAfPYQgVqnpsiQGFhzd%2Bzhj%2Blw%2BOxhQoAAGAzbKECAABLsYVqHg0cAACAzdDAAQAAS9HAmUeAAwAAliLAmccWKgAAgM3QwAEAAEvRwJlHAwcAAGAzNHAAAMBSNHDmEeAAAIClCHDmsYUKAABgMzRwAADAUjRw5tHAAQAA2AwNHAAAsBQNnHkEOAAAYCkCnHlsoQIAANgMDRwAALAUDZx5NHAAAAA2QwMHAAAsRQNnHgEOAABYigBnHluoAAAANkMDBwAALEUDZx4NHAAAgM3QwAEAAEvRwJlHgAMAAJYiwJnHFioAAIDN0MABAABL0cCZRwMHAABgMzRwAADAUjRw5hHgAACApQhw5rGFCgAAYDM0cAAAwFI0cObRwAEAANgMDRwAALAUDZx5BDgAAGApApx5bKECAADYDA0cAACwFA2ceQQ4AABgKQKceWyhAgAA2AwNHAAAsBQNnHkEOAAAgN9QVFSk6dOna8OGDSorK1P37t01ZcoUBQYGVnn%2B2rVrNW/ePGVnZysoKEgDBw7U6NGjVavWuc3P3r176%2BjRo86vJWnZsmUKDw%2Bv1nwIcAAAwFJ2bOCmT5%2BuY8eOae3atSovL9f48eOVkpKiKVOmVDr322%2B/1Z///Ge98soruvPOO3Xw4EGNHDlSAQEBeuihh1RQUKCDBw9q/fr1atq06SXNh/fAAQAAS1VU1PzrciouLtbq1as1duxYBQUF6eqrr9bEiRO1YsUKFRcXVzr/hx9%2B0L333qtu3bqpVq1aCg8PV8%2BePbV161ZJ5wJeUFDQJYc3iQYOAAD8DuTk5Cg3N9dlLCQkRKGhodW6vqSkRCdOnKjyWHFxsRwOhyIiIpxj4eHhKikp0aFDh3TjjTe6nN%2BrVy/16tXL5d6fffaZ4uLiJEk7d%2B6Uv7%2B/hg0bpn379qlp06ZKTk5Wt27dqjVXiQAHAAAsdjkas6VLlyo1NdVlLCkpScnJydW6fseOHRo%2BfHiVx8aNGydJCggIcI75%2B/tLkgoLC3/1vgUFBRo3bpz8/Pz04IMPSpK8vLzUrl07PfbYY2rSpIk%2B%2BugjJScn6%2B2331ZkZGS15kuAAwAAtpeQkKDY2FiXsZCQkGpfHxMToz179lR5bPfu3Xr11VdVXFzsfGjh/NZp3bp1L3jPAwcOaOzYsbr66qv15ptvOs9NTEx0Oa9fv37617/%2BpbVr1xLgAACAZ7ocDVxoaGi1t0svVvPmzeXj46OsrCzdfPPNkqT9%2B/fLx8dHYWFhVV6zceNGPfbYYxoyZIgef/xxeXv//8i1YMEC3XTTTbrtttucY6WlpfL19a32nHiIAQAAWMpuDzH4%2B/urd%2B/eSklJUX5%2BvvLz85WSkqK%2BffvKz8%2Bv0vnbt2/XmDFjNHnyZE2aNMklvEnSsWPHNG3aNGVnZ6usrEzLli1TRkaG7rnnnmrPycswDMP0T4Zf5%2BXl7hkA9hcVJW3bJnXoIGVkuHs2wO%2BDmyLAxx/X/D179qz5e/5cQUGBZs2apQ0bNsjhcKh79%2B56%2Bumnne%2BL69Onj%2BLi4vSnP/1Jf/rTn/TZZ5853yd3XseOHfWPf/xDpaWlSklJ0YcffqgzZ86oRYsWeuKJJxQTE1Pt%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%2BswsLCC54/ZcoUtW3bVlFRUc7X0qVLncfT0tLUtWtXRUZG6v7779eBAwcuaj4EOAAAgN8wffp0HTt2TGvXrtW6det07NgxpaSkXPD8nTt3avr06crIyHC%2BEhISJEkrV67UW2%2B9pQULFmjLli1q06aNxo4dK8Mwqj0fAhwAALCU3Rq44uJirV69WmPHjlVQUJCuvvpqTZw4UStWrFBxcXGl80tLS7V37161bdu2yvu9%2B%2B67Gjp0qFq2bClfX189/vjjOnr0qLZs2VLtOfEQAwAAsJQnPsRQUlKiEydOVHmsuLhYDodDERERzrHw8HCVlJTo0KFDuvHGG13Oz8zMVFlZmWbPnq2vv/5a9erV06BBg5SYmKhatWopKytLI0eOdJ7v4%2BOjsLAwZWZm6tZbb63WfAlwAADA9nJycpSbm%2BsyFhISotDQ0Gpdv2PHDg0fPrzKY%2BPGjZMkBQQEOMf8/f0lqcr3wZ05c0adOnXS/fffr5deeknfffedxowZo1q1aikxMVGFhYXO68/z8/NTUVFRteYqEeAAAIDFLkcDt3TpUqWmprqMJSUlKTk5uVrXx8TEaM%2BePVUe2717t1599VUVFxcrMDBQkpxbp3Xr1q10fufOndW5c2fn1%2B3bt9cDDzygNWvWKDExUf7%2B/iopKXG5pqSkxHnv6iDAAQAA20tISFBsbKzLWEhISI3cu3nz5vLx8VFWVpZuvvlmSdL%2B/fudW5%2B/9MknnygvL0/33nuvc6y0tFR%2Bfn6SpJYtW2rfvn3q1q2bJMnhcOjQoUMuW7S/hYcYAACApS7HQwyhoaFq06aNy6u626e/xd/fX71791ZKSory8/OVn5%2BvlJQU9e3b1xnKfs4wDM2cOVNffvmlDMNQRkaG3nzzTedTqIMGDdLbb7%2BtzMxMnT17Vi%2B%2B%2BKIaNmyo6Ojoas%2BJBg4AAFjKEx9i%2BC1TpkzRrFmzFBcXJ4fDoe7du%2Bvpp592Hu/Tp4/i4uL0pz/9ST179tTkyZM1depUnThxQg0bNlRycrL69%2B8vSYqPj9eZM2c0ZswY5efnq127dpo/f758fHyqPR8v42I%2BdASXxsvL3TMA7C8qStq2TerQQcrIcPdsgN8HN0WAJ5%2Bs%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%2BvTp2rBhg8rKytS9e3dNmTJFgYGBlc7929/%2BptWrV7uMlZSU6Pbbb9eCBQtUUVGhjh07yjAMeXl5Oc/54osvFBAQUK350MABAAD8hunTp%2BvYsWNau3at1q1bp2PHjiklJaXKc5955hllZGQ4X3PmzFH9%2BvX1l7/8RZKUlZUlh8Oh9PR0l/OqG94kAhwAALBYRUXNvy6n4uJirV69WmPHjlVQUJCuvvpqTZw4UStWrFBxcfGvXpufn6%2BJEyfqySefVMuWLSVJO3fuVKtWrVSnTp1LnhNbqAAAwFKXI3Dl5OQoNzfXZSwkJEShoaHVur6kpEQnTpyo8lhxcbEcDociIiKcY%2BHh4SopKdGhQ4d04403XvC%2BKSkpatu2rfr16%2Bcc27lzp86ePatBgwbphx9%2BUHh4uB5//HF16NChWnOVCHAAAOB3YOnSpUpNTXUZS0pKUnJycrWu37Fjh4YPH17lsXHjxkmSyxanv7%2B/JKmwsPCC98zOztaqVav03nvvuYz7%2Bfmpffv2GjdunBo0aKDFixfr4Ycf1qpVq9SsWbNqzZcABwAALHU5GriEhATFxsa6jIWEhFT7%2BpiYGO3Zs6fKY7t379arr76q4uJi50ML57dO69ate8F7Ll%2B%2BXFFRUZUauvPvhTvv4Ycf1ooVK7Rx40YNGzasWvMlwAEAANsLDQ2t9nbpxWrevLl8fHyUlZWlm2%2B%2BWZK0f/9%2B%2Bfj4KCws7ILXrVu3Tg899FCl8Zdfflm9evXSTTfd5BwrLS2Vr69vtefEQwwAAMBSdnuIwd/fX71791ZKSory8/OVn5%2BvlJQU9e3bV35%2BflVe8%2BOPP2r//v265ZZbKh3bu3evZsyYodzcXJWWlio1NVUFBQXq2bNntedEgAMAAJayW4CTpClTpigsLExxcXH64x//qGuvvVZ/%2B9vfnMf79Omj119/3fn1kSNHJEmNGjWqdK%2BZM2fquuuuU//%2B/RUTE6P09HS98cYbCgoKqvZ8vAzDMEz8PKiOn31IH4BLFBUlbdsmdeggZWS4ezbA74ObIkDnzjV/zy%2B%2BqPl7ejLeAwcAACxlx9/E4GnYQgUAALAZGjgAAGApGjjzCHAAAMBSBDjz2EIFAACwGRo4AABgKRo482jgAAAAbIYGDgAAWIoGzjwCHAAAsBQBzjy2UAEAAGyGBg4AAFiKBs48GjgAAACboYEDAACWooEzjwAHAAAsRYAzjy1UAAAAm6GBAwAAlqKBM48ABwAALEWAM48tVAAAAJuhgQMAAJaigTOPBg4AAMBmaOAAAIClaODMI8ABAABLEeDMYwsVAADAZmjgAACApWjgzKOBAwAAsBkaOAAAYCkaOPMIcAAAwFIEOPPYQgUAALAZGjgAAGApGjjzaOAAAABshgYOAABYigbOPAIcAACwFAHOPLZQAQAAbIYGDgAAWIoGzjwaOAAAAJuhgQMAAJaigTOPAAcAACxFgDOPLVQAAACboYEDAACWooEzjwYOAADAZmjgAACApWjgzCPAAQAASxHgzGMLFQAAwGYIcAAAwFIVFTX/skpxcbESEhK0YsWKXz1vx44dGjx4sKKiohQbG6v33nvP5fjKlSvVs2dPRUZGauDAgcrIyLioeRDgAAAAqmHfvn267777tH379l8976efftIjjzyiAQMGaOvWrZoxY4Zmzpypb775RpK0ZcsWTZ8%2BXc8//7y2bt2qfv36adSoUSouLq72XAhwAADAUnZs4L788ks98MADuueee9SkSZNfPXfdunUKCgrSfffdJ29vb912222Ki4vT4sWLJUnvvfee%2BvTpo44dO8rHx0cPPviggoODtWbNmmrPh4cYAACApS5H4MrJyVFubq7LWEhIiEJDQ6t1fUlJiU6cOFHlsZCQELVu3VqffvqpfH199cYbb/zqvfbt26eIiAiXsRYtWmjZsmWSpKysLA0aNKjS8czMzGrNVSLAWcMw3D0DwPZycnK0dM4cJXz0UbX/hQzAM12OvxbnzFmq1NRUl7GkpCQlJydX6/odO3Zo%2BPDhVR6bO3euevToUe25FBYWyt/f32XMz89PRUVF1TpeHQQ4ALaQm5ur1NRUxcbGEuAAVJKQkKDY2FiXsZCQkGpfHxMToz179tTIXPz9/XXmzBmXsZKSEgUGBjqPl5SUVDoeHBxc7e9BgAMAALYXGhrqMf9xFxERoS%2B%2B%2BMJlLCsrSy1btpQktWzZUvv27at0vGvXrtX%2BHjzEAAAAUIN69uypvLw8LVq0SA6HQ5s3b9bq1aud73uLj4/X6tWrtXnzZjkcDi1atEgnT55Uz549q/09CHAAAAAm9enTR6%2B//rokKTg4WAsXLtRHH32kmJgYPfXUU3rqqad06623SpJuu%2B02TZkyRVOnTlWnTp30wQcfKC0tTUFBQdX%2Bfl6GwTvsAXi%2BnJwcLV26VAkJCR6zTQIA7kKAAwAAsBm2UAEAAGyGAAcAAGAzBDgAAACbIcABAADYDAEOAADAZghwAAAANkOAAwAAsBkCHAAAgM0Q4AAAAGyGAAcAAGAzBDgAAACb8Xb3BADgQrZs2aJp06bp0KFD%2BuWvbf7uu%2B/cNCsAcD9%2BmT0Aj3XPPfeodevWiouLk7e3639vdurUyU2zAgD3I8AB8FhRUVHavHmzfH193T0VAPAovAcOgMcKCwtTTk6Ou6cBAB6H98AB8Fi9e/dWYmKi4uPjFRIS4nJswIABbpoVALgfW6gAPFZsbGyV415eXlq/fr3FswEAz0GAAwAAsBm2UAF4tG%2B//VbLli3TDz/8oJCQEA0cOFDR0dHunhYAuBUPMQDwWP/%2B9781dOhQnTp1Sq1atVJBQYFGjBihTz75xN1TAwC3YgsVgMcaMmSIRowYod69ezvHPvzwQ6WlpWnFihVunBkAuBcNHACPdfDgQfXq1ctlrFevXjp06JB7JgQAHoIAB8BjBQUFae/evS5jmZmZlT5SBACuNDzEAMBjDR48WKNGjdKjjz6qa6%2B9Vt9//73S0tI0dOhQd08NANyK98AB8FiGYSg1NVUrVqxQXl6emjZtqsGDB2vEiBGqVYsNBABXLgIcAACAzbCFCsDj/P3vf9cjjzyi1NTUC56TlJRk4YwAwLMQ4AB4nK1bt%2BqRRx7Rli1bqjzu5eVl8YwAwLOwhQrAoxmGoYqKCtWuXVu5ubm66qqrVLt2bXdPCwDcincBA/BYmZmZio2N1a5duyRJ//jHP/SHP/xBBw8edPPMAMC9aOAAeKz7779ft9xyi0aPHi1vb2%2BVlZXp9ddf17Zt27Rw4UJ3Tw8A3IYAB8BjRUdHa%2BvWrS7veSsvL9ett96qrVu3unFmAOBebKEC8Fh169attF2anZ2t%2BvXru2lGAOAZeAoVgMe65557NGrUKCUmJqpJkyY6evSoFixYoIEDB7p7agDgVmyhAvBY5eXlmjdvnt5//33l5ubqmmuu0cCBA5WYmMiTqACuaAQ4AAAAm2ELFYDHKi0t1erVq3XixAlVVFRIkhwOh/bu3avXXnvNzbMDAPchwAHwWH/961%2B1adMmBQcHy%2BFwKCAgQPv27dOAAQPcPTUAcCsCHACPtWnTJr3zzjvKz8/XO%2B%2B8oxdffFELFy7UN9984%2B6pAYBb8TEiADxWRUWFbrjhBt1www367rvvJEn33XefvvrqKzfPDADciwAHwGM1btxY2dnZuuqqq3Ty5EkVFRXJMAwVFha6e2oA4FZsoQLwWHFxcRo6dKiWLVumu%2B66S6NGjZKvr6/atm3r7qkBgFvxMSIAPNqHH36oO%2B%2B8UxUVFXrhhRdUUFCg8ePHq1mzZu6eGgC4DQEOgMcaNWqUXnjhBdWtW9fdUwEAj8J74AB4rIyMDNWpU8fd0wAAj0MDB8BjPfvsszpy5Iji4uIUEhIiLy8v57FbbrnFjTMDAPciwAHwWK1bt65y3MvLy/mxIgBwJSLAAQAA2AzvgQPg0UpLS/Xxxx9r0aJFKi4uVmZmprunBABux%2BfAAfBY33//vR566CE5HA6dPn1ad955pwYNGqTU1FR169bN3dMDALehgQPgsWbMmKGBAwfqs88%2Bk7e3t5o3b65nn31Ws2fPdvfUAMCtCHAAPNb27duVmJgoLy8v5xOo/fv3V3Z2tptnBgDuRYAD4LHq1aunvLw8l7Hc3Fw1aNDATTMCAM9AgAPgseLi4pSUlKQvvvhCFRUV%2BuabbzRx4kT16dPH3VMDALfiY0QAeCyHw6GXXnpJS5YsUXFxsXx9fRUfH69JkybxGxoAXNEIcABsIT8/X8HBwS6/jQEArlR8jAgAj7Z8%2BXL985//VG5urpo0aaLBgwfrj3/8o7unBQBuRYAD4LFee%2B01/c///I8SEhJ0zTXXKDs7W1OmTNGpU6d07733unt6AOA2bKEC8FhdunTRa6%2B9prZt2zrHvvnmGz322GP65JNP3DgzAHAvnkIF4LGKiooUERHhMnbTTTepoKDATTMCAM9AgAPgsfr06aOXX35Z5eXlzrGFCxfqD3/4gxtnBQDuxxYqAI%2BVkJCgHTt2KDg4WE2bNlVOTo5ycnIUGhoqHx8f53nr16934ywBwHoEOAAea%2BXKlSorK9OPP/6oq666SrVr167yvHvuucfimQGAe/EUKgCPlJubq88//1yffPKJysrK5O3trdjYWP31r39Vo0aN3D09AHArGjgAHuenn37SgAED1LhxY8XHxys0NFTZ2dlauXKlTpw4oVWrVikoKMjd0wQAtyHAAfA4s2bN0pEjRzR79myX37xQUVGhpKQkXX/99Zo0aZIbZwgA7sVTqAA8zoYNG/T/2rtjG4WBIICiI4QEEqkpAFGCBRE9UIALIHdOTCFImIAeaIEqHHhFA0RklxyX4l3de%2BFuMuGXVmO3bfvrt1mTySTatrW0APx7Ag7ITkopVqvVx7v1eh0ppS9PBJAXAQdkZzab/RlpKaVYLBZfngggLwIOyM5ms4nL5fLxruu62G63X54IIC8%2BIwJk53A4RNM0MZ/PY7/fR1VV0fd93G63OJ/Pcb1exx4RYFS2UIEs3e/3OB6P8Xw%2Bf86qqorT6RS73W7EyQDGJ%2BCAbL1er3g8HjEMQyyXy6jrOqZTDwcAAg4AoDCWGAAACiPgAAAKI%2BAAAAoj4AAACiPgAAAKI%2BAAAAoj4AAACiPgAAAK8wYlL3XecIEYZwAAAABJRU5ErkJggg%3D%3D\" class=\"center-img\">\n",
       "    <img 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XWW9WzZ0%2BtWrVKkvT2229r9OjRCgkJkZeXl6ZNm6bjx4//ZqP3exDgAACA7WVkZGjv3r0ur/IPEq%2BKG264QR9//HGln3V5rpSUFIWGhrqMtWvXzvk90b/e7unpqaCgIOf26sIH%2BVqBT2QHzGvbVjp4UAoJkY4ccfdsgMuDuz4K9hL8vbhq4UIlJCS4jMXExCg2NrZKxwcEBFRpv7y8PPn4%2BLiMeXt7Kz8/v0rbqwsBDoA9%2BPtLtWuf/V8A%2BJWoqCiFh4e7jFU1lF0MHx8fFRYWuowVFhY6v1P6QturCwEOAABYq1b138EVGBiowMDAaj/vr4WGhmrv3r0uYykpKercubMkKSQkRAcPHlTfvn0lSSUlJUpNTa2w7GoW98ABAABU0ZAhQ7R9%2B3Zt2LBBpaWl2rBhg7Zv366hQ4dKkkaOHKkVK1YoOTlZRUVFmj9/vpo2baoePXpU6zxo4AAAgLUuQQN3KTkcDj311FMaMmSIgoODtXjxYsXHx%2BvRRx9Vy5YttWjRIrVt21aSFBkZqdOnT2vy5MnKyclRly5dtHTpUnl6elbrnPgyeyvwEANgnsMh7dwpdesmJSW5ezbA5cFdEcDLq/rPWVRU/eeswewVgQEAAMASKgAAsJjNllBrIq4gAACAzdDAAQAAa9HAmUaAAwAA1iLAmcYVBAAAsBkaOAAAYC0aONO4ggAAADZDAwcAAKxFA2caAQ4AAFiLAGcaVxAAAMBmaOAAAIC1aOBM4woCAADYDA0cAACwFg2caQQ4AABgLQKcaVxBAAAAm6GBAwAA1qKBM40rCAAAYDM0cAAAwFo0cKYR4AAAgLUIcKZxBQEAAGyGBg4AAFiLBs40riAAAIDN0MABAABr0cCZRoADAADWIsCZxhUEAACwGRo4AABgLRo407iCAAAANkMDBwAArEUDZxoBDgAAWIsAZxpXEAAAwGZo4AAAgLVo4EwjwAEAAGsR4EzjCgIAANgMDRwAALAWDZxpXEEAAACboYEDAADWooEzjQAHAACsRYAzjSsIAABgMzRwAADAWjRwpnEFAQAAbIYGDgAAWIsGzjQCHAAAsBYBzjQCHAAA%2BMPLzs7W448/ru3bt6t27doaMmSIHnroIdWp4xqVoqOj9c0337iM5efnKyoqSk8//bSysrLUu3dv%2Bfr6Orc3atRImzdvrtb5EuAAAIC1amADN3XqVDVr1kyff/65srKyNHHiRC1fvlzR0dEu%2B7366qsu71evXq2EhATFxMRIkvbs2aOWLVtWe2D7tZp3BQEAACz0ww8/aPv27XrwwQfl4%2BOj1q1ba9KkSVq5cuVvHnf48GHNmjVL8fHxCgwMlHQ2wHXu3PmSz5kGDgAAWOsSNHAZGRnKzMx0GQsICHAGq99y8OBB%2Bfv7q1mzZs6x4OBgHT9%2BXKdOnVKDBg0qPe6pp57SsGHD1KNHD%2BfYnj179Msvv2jw4MHKyspSly5d9NBDD6ldu3a/8zerHAEOAABY6xIEuFWrVikhIcFlLCYmRrGxsRc8Ni8vTz4%2BPi5j5e/z8/MrDXBff/21du/erfj4eJfxBg0aqF27dpowYYLq1q2rF198UePHj9eGDRtUv379i/21zosABwAAbC8qKkrh4eEuYwEBAVU61tfXVwUFBS5j5e/9/PwqPWbVqlUaOHBghZ8xf/58l/czZszQmjVr9PXXX6tv375Vmk9VEOAAAIC1LkEDFxgYWKXl0sqEhITo5MmTysrKUtOmTSVJhw4dUvPmzSttzUpLS/XJJ59o8eLFLuO5ublavHixxo4dq5YtW0qSzpw5o9LSUnl7e/%2BuuZ0PDzEAAIA/tKCgIHXv3l1z5sxRbm6u0tLStGTJEkVGRla6//79%2B1VUVKRu3bq5jNerV0///e9/NW/ePJ0%2BfVp5eXmaNWuWWrVq5XKfXHUgwAEAAGvVqlX9L5MWLlyo0tJS9evXT7fddptuvPFGTZo0SZLkcDj03nvvOfdNS0tTw4YN5eXlVeE8S5YsUVlZmW655RbdeOONyszMVGJiojw9PU3P8VwehmEY1XpGVOTh4e4ZAPbncEg7d0rduklJSe6eDXB5cFcEGDCg%2Bs%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%2Bbp%2Buuvl8Ph0MSJE5WRkVHt8yXAAQAAa9WqVf0vk6ZOnSpfX199/vnnWr16tb788kstX7680n2/%2B%2B47LVu2TElJSc5Xnz59JEkvvfSSvvjiC61Zs0aff/65vL299dhjj5me368R4AAAwB/aDz/8oO3bt%2BvBBx%2BUj4%2BPWrdurUmTJmnlypUV9k1LS9Mvv/yijh07Vnqud955RxMmTNAVV1yhevXq6dFHH9Vnn32mtLS0ap0z98ABAABrXYJ74DIyMpSZmekyFhAQoMDAwAsee/DgQfn7%2B6tZs2bOseDgYB0/flynTp1SgwYNnON79uyRn5%2BfHnjgAe3Zs0dNmzbV3XffrcjISJ0%2BfVo//fSTQkNDnfs3bdpUDRs21P79%2B9W6detq%2BE3PIsABAABrXYIAt2rVKiUkJLiMxcTEKDY29oLH5uXlycfHx2Ws/H1%2Bfr5LgCsuLlbXrl31wAMPKCQkRNu2bVNsbKz8/PzkcDgkSb6%2Bvi7n8vb2Vl5e3u/6vc6HAAcAAGwvKipK4eHhLmMBAQFVOtbX11cFBQUuY%2BXv/fz8XMaHDRumYcOGOd/fcMMNGjZsmD744ANdf/31LseWKywsrHAeswhwAADAWpeggQsMDKzScmllQkJCdPLkSWVlZalp06aSpEOHDql58%2BaqX7%2B%2By76rV6%2BWn5%2BfBg4c6BwrLi6Wl5eXGjZsqGbNmiklJcW5jJqZmamTJ0%2B6LKtWBx5iAAAAf2hBQUHq3r275syZo9zcXKWlpWnJkiWKjIyssG9ubq5mzZql77//XmVlZfr000/173//W1FRUZKkESNG6KWXXlJaWppyc3M1Z84c9erVS23atKnWOdPAAQAAa9XAD/JduHChnn76afXr10%2B1atXSsGHDNGnSJEmSw%2BHQU089pSFDhuiuu%2B5Sfn6%2BYmJilJ2drdatW2vevHnq0aOHJGny5MkqLS3VmDFjlJeXp7CwML3wwgvVPl8PwzCMaj8rXHl4uHsGgP05HNLOnVK3blJSkrtnA1we3BUB5s6t/nPOmFH956zBal4EBgAAwG9iCRUAAFirBi6h2g1XEAAAwGZo4AAAgLVo4EwjwAEAAGsR4EzjCgIAANgMDRwAALAWDZxpXEEAAACboYEDAADWooEzjQAHAACsRYAzjSsIAABgMzRwAADAWjRwphHgAACAtQhwpnEFAQAAbIYGDgAAWIsGzjSuIAAAgM3QwAEAAGvRwJlGgAMAANYiwJnGFQQAALAZGjgAAGAtGjjTuIIAAAA2QwMHAACsRQNnGgEOAABYiwBnGlcQAADAZmjgAACAtWjgTOMKAgAA2AwNHAAAsBYNnGkEOAAAYC0CnGlcQQAAAJuhgQMAANaigTONKwgAAGAzNHAAAMBaNHCmEeAAAIC1CHCmcQUBAABshgYOAABYiwbONK4gAACAzdDAAQAAa9HAmUaAAwAA1iLAmcYVBAAAsBkaOAAAYC0aONO4ggAAADZDAwcAAKxFA2caAQ4AAFiLAGcaAQ4AAPzhZWdn6/HHH9f27dtVu3ZtDRkyRA899JDq1KkYld58800tX75cGRkZCgwM1Lhx4zRmzBhJUllZmbp37y7DMOTh4eE85osvvpCvr2%2B1zZcABwAArFUDG7ipU6eqWbNm%2Bvzzz5WVlaWJEydq%2BfLlio6Odtlv06ZNev7555WYmKhrrrlGu3bt0n333aemTZtqwIABSklJUUlJiXbu3Km6detesvnWvCsIAABgoR9%2B%2BEHbt2/Xgw8%2BKB8fH7Vu3VqTJk3SypUrK%2Bybnp6uCRMmqGvXrvLw8JDD4VBYWJh27NghSdqzZ4/at29/ScObRAMHAACsdgkauIyMDGVmZrqMBQQEKDAw8ILHHjx4UP7%2B/mrWrJlzLDg4WMePH9epU6fUoEED53j5Umm57Oxs7dixQzNmzJB0NsAVFRVp5MiR%2BvHHHxUcHKxp06apW7duZn69CghwAADAWpcgwK1atUoJCQkuYzExMYqNjb3gsXl5efLx8XEZK3%2Bfn5/vEuDOlZmZqfvvv1%2BdO3fW4MGDJUne3t66%2BuqrFRcXp4YNG2rlypW699579d5776l169a/51erFAEOAADYXlRUlMLDw13GAgICqnSsr6%2BvCgoKXMbK3/v5%2BVV6zK5duxQXF6cePXpo7ty5zocdHn74YZf97r33Xq1du1Zbt27V2LFjqzSfqiDAAQAAa12CBi4wMLBKy6WVCQkJ0cmTJ5WVlaWmTZtKkg4dOqTmzZurfv36FfZfvXq1nnnmGU2ZMkX33HOPy7YFCxZowIAB6tixo3OsuLhYXl5ev2tu58NDDAAA4A8tKChI3bt315w5c5Sbm6u0tDQtWbJEkZGRFfbduHGjnnzySS1atKhCeJOkAwcOaPbs2crMzFRxcbESEhKUm5ur/v37V%2BucCXAAAMBatWpV/8ukhQsXqrS0VP369dNtt92mG2%2B8UZMmTZIkORwOvffee5KkhIQEnTlzRlOmTJHD4XC%2BnnjiCUnS3Llz1aZNGw0dOlRhYWHavn27/v73v8vf39/0HM/lYRiGUa1nREXnfJAfgN/J4ZB27pS6dZOSktw9G%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%2BZkWHR2tl19%2B2d3TAAAANVh2drYmTZqkHj16KCwsTLNnz1ZpaWml%2B27dulURERHq2rWrBg4cqC1btrhsT0xMVJ8%2BfdS1a1fdeeedOnz4cPVP2LhImzdvNq6%2B%2Bmrj%2BeefN3766SejrKzMSElJMSZPnmzcdNNNxk8//XSxp7z8Sbx48TL7cjjO/vPkcLh/Lrx4XS4vdyktrf6XSWPHjjWmTZtm5OfnG0ePHjUGDRpkJCYmVtjvyJEjRpcuXYyPP/7YKCkpMd5//33j6quvduaftWvXGjfeeKNx4MABo7Cw0Jg7d64xaNAgo6yszPQcz3VRf3pFRUXG9ddfbyxevLjCtjNnzhhRUVFGXFycsWbNGmPUqFHG448/bjgcDqN3797G4sWLnZMvKioyXnjhBSM8PNzo2bOnER0dbaSmpjrPFRoaasyaNcvo1auXcf/99xtlZWXG0qVLjcGDBxvdu3c3evToYfz1r381CgoKDMMwjJKSEuOFF14w%2BvTpYzgcDmP06NHGvn37DMM4%2BweycOFC5xyXLl1q9OvXz%2BjWrZsxcuRI47PPPnP%2B3L59%2Bxovv/yyMXToUKNr167G0KFDjS%2B//PIiL2kl3P0PKC9el8OLAMeLV/W/3KWGBbjU1FQN8f0cAAAgAElEQVQjNDTUpYR6//33jZtvvrnCvs8//7wxfvx4l7F7773XePHFFw3DMIzbb7/deOmll5zbiouLDYfDUT154hwXdQ9cUlKSsrKyNGzYsArbatWqpcjISD355JPq3bu3du/eLYfDoS%2B//FIHDhxQdHS0AgICNGrUKC1YsEBfffWVli9frsDAQCUmJuqee%2B7Rhg0b5OXlJUk6evSoPv30U5WUlOiDDz7Q66%2B/rhUrVigoKEiHDh3S6NGjtX79eo0aNUovvfSS/v3vf2vZsmVq27atEhISdP/992vz5s0uc1y8eLFWr16tJUuWqH379vroo480adIkrVy5UldffbUkac2aNUpMTFRgYKCeeuopPfnkk/rwww%2BrfI0yMjKUmZnpMhbQtq0C/f0v5lID%2BLUOHVz/F4A5SUnu%2B9mX4B64Sv/%2BDQhQYGDgBY89ePCg/P391axZM%2BdYcHCwjh8/rlOnTqlBgwbO8ZSUFIWGhroc365dOyUnJzu3T5gwwbnN09NTQUFBSk5O1rXXXvu7frfKXFSAy8jIkCQ1bdq00u2BgYEqKSnRzz//LH9/f02fPl2enp7q0qWLoqKi9N577ykyMlJvvfWWFi5cqNatW0uSJk%2BerLfffluffvqpBgwYIEkaPHiwfHx85OPjoz59%2Bqhbt25q3ry5cnJynOdPT0%2BXJK1bt07333%2B/2rVrJ0maOHGibrrpJhmG4TK/NWvW6L777lOnTp0kSbfeeqs2btyo1atXOwNcZGSk/vSnP0mSIiIi9O67717MJdKqVauUkJDgMhYTF6fYuLiLOg%2BA8/jnP909A%2BDy4OHhth9tqPp/dqV//8bEKDY29oLH5uXlycfHx2Ws/H1%2Bfr5LgKtsX29vb%2BXn51dpe3W5qAAXEBAgSTp%2B/LiCgoIqbD927Jg8PT3VqFEjtWzZUp6ens5tV1xxhTZu3KicnBzl5%2BcrLi5Otc5J4CUlJfrxxx%2Bd789NzIZhaMGCBdqyZYsaN26sq666SiUlJc6AlpmZqRYtWjj3r1u3rrp27VphfllZWc7QWK5Vq1bO1Cy5htM6depUCIEXEhUVpfDwcJexgIgI6R//uKjzAPiVDh3OhrfRo6Vz/pkFAOk8f//%2Bb265EF9fXxUUFLiMlb/38/NzGffx8VFhYaHLWGFhoXO/C22vLhcV4Lp3766AgACtXr1a06dPd9l25swZrV27VuHh4apdu7YyMjJkGIY8/jfhHzt2TC1atFCjRo3k5eWl1157zSVkHT582KW69Djnvwzi4%2BN1/Phxbd68WfXq1ZN0th0rd8UVV%2BjEiRPO9yUlJXruuecUHR3tMseWLVsqLS3NZSwtLa1K9WpVBQYGVjzfkSPVdn7gDy852b1LPwBMKyur/nNW%2BvdvFYWEhOjkyZPKyspyFjmHDh1S8%2BbNVb9%2BfZd9Q0NDtXfvXpexlJQUde7c2XmugwcPqm/fvpLOZpLU1NQKy65mXdQitKenp%2BbOnasVK1ZowYIFSk9PV1lZmVJSUhQTE6OffvpJM2bMkHS2FXvllVdUUlKib7/9Vu%2B8845GjRrlvFdu/vz5%2Bumnn1RWVqZ169Zp8ODB%2BuGHHyr9ubm5ufLy8lLt2rVVVFSk1157TQcOHFBJSYkkacSIEVq2bJmOHDmi0tJSLV26VJs2bVKjRo1czjNq1Ci98sor2rt3r86cOaMPPvhAmzdv1vDhw3/PtQMAAL9DWVn1v8wICgpS9%2B7dNWfOHOXm5iotLU1LlixRZGRkhX2HDBmi7du3a8OGDSotLdWGDRu0fft2DR06VJI0cuRIrVixQsnJySoqKtL8%2BfPVtGlT9ejRw9wkf%2BWiP8j3xhtv1FtvvaWlS5dq5MiRys3NVdOmTdWvXz/Nnj1bjRs3lnS2tjx27JhuuOEG%2Bfn5KS4uTrfeeqsk6aGHHtKiRYs0evRonTx5Uq1bt9bChQvVsWPHSn/m1KlTNWPGDF1//fXy9fVV9%2B7dNXToUB04cEDS2c96Ky0t1b333qtffvlFXbp0UWJiossSriSNHz9eZWVleuCBB5SZmak//elPev7559WrV6%2BLvQwAAOAysnDhQj399NPq16%2BfatWqpWHDhmnSpEmSJIfDoaeeekpDhgxRcHCwFi9erPj4eD366KNq2bKlFi1apLZt20o6ey/96dOnNXnyZOXk5KhLly5aunRphUxilodxsTd5VcHatWuVkJBQ4SnQPyw33igKXDYcDmnnTqlbN5ZQgepS/RGgSoqKqv%2Bc//shFn8YfJcFAACAzfBdqAAAwFKX4iGGP5pLsoSKX2EJFTCPJVSg%2BrkpAuTlVf85q/lTOmo8llABAABshiVUAABgKZZQzaOBAwAAsBkaOAAAYCkaOPMIcAAAwFIEOPNYQgUAALAZGjgAAGApGjjzaOAAAABshgYOAABYigbOPAIcAACwFAHOPJZQAQAAbIYGDgAAWIoGzjwaOAAAAJuhgQMAAJaigTOPAAcAACxFgDOPJVQAAACboYEDAACWooEzjwYOAADAZmjgAACApWjgzCPAAQAASxHgzGMJFQAAwGZo4AAAgKVo4MyjgQMAALAZGjgAAGApGjjzCHAAAMBSBDjzWEIFAACwGRo4AABgKRo482jgAAAAbIYGDgAAWIoGzjwCHAAAsBQBzjyWUAEAAGyGBg4AAFiKBs48GjgAAACboYEDAACWooEzjwAHAAAsRYAzjyVUAAAAm6GBAwAAlqKBM48ABwAALEWAM48lVAAAAJuhgQMAAJaigTOPAAcAAHAB%2Bfn5mjVrljZv3qzS0lL169dPM2fOlJ%2BfX6X7b9y4UUuWLFFaWpr8/f01YsQITZo0SbVqnV38HDhwoI4fP%2B58L0mrV69WcHBwleZDgAMAAJayYwM3a9YsnThxQhs3btSZM2c0depUxcfHa%2BbMmRX2/e677/S3v/1NL7zwgm666SYdOXJEEyZMkK%2Bvr%2B655x7l5ubqyJEj%2BuSTT9SyZcvfNR/ugQMAAJYqK6v%2B16VUUFCg9evXa8qUKfL391eTJk00ffp0rV27VgUFBRX2//HHH3X77berb9%2B%2BqlWrloKDg9W/f3/t2LFD0tmA5%2B/v/7vDm0QDBwAALgMZGRnKzMx0GQsICFBgYGCVji8sLFR6enql2woKClRSUqLQ0FDnWHBwsAoLC5WamqqrrrrKZf8BAwZowIABLuf%2B9NNPFRERIUnas2ePfHx8NHbsWB08eFAtW7ZUbGys%2BvbtW6W5SgQ4AABgsUvRmK1atUoJCQkuYzExMYqNja3S8bt379a4ceMq3RYXFydJ8vX1dY75%2BPhIkvLy8n7zvLm5uYqLi5O3t7fuvvtuSZKHh4e6dOmiv/71r2rRooU%2B/PBDxcbGasWKFeratWuV5kuAAwAAthcVFaXw8HCXsYCAgCofHxYWpv3791e67fvvv9eLL76ogoIC50ML5Uun9erVO%2B85Dx8%2BrClTpqhJkyZ6/fXXnftGR0e77DdkyBD9%2B9//1saNGwlwAACgZroUDVxgYGCVl0svVtu2beXp6amUlBRdc801kqRDhw7J09NTQUFBlR6zdetW/fWvf9Vtt92madOmqU6d/4tcy5YtU8eOHXXdddc5x4qLi%2BXl5VXlOfEQAwAAsJTdHmLw8fHRwIEDFR8fr5ycHOXk5Cg%2BPl6DBw%2BWt7d3hf137dqlyZMna8aMGXrooYdcwpsknThxQk899ZTS0tJUWlqq1atXKykpScOHD6/ynDwMwzBM/2b4bR4e7p4BYH8Oh7Rzp9Stm5SU5O7ZAJcHN0WAjz%2Bu/nP271/95zxXbm6u5s2bp82bN6ukpET9%2BvXT448/7rwvbtCgQYqIiNBf/vIX/eUvf9Gnn37qvE%2BuXPfu3fXqq6%2BquLhY8fHx%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%2Bfr5mzJihsLAwde/eXX/729%2BUl5d33v1nzpypzp07y%2BFwOF%2BrVq1ybk9MTFSfPn3UtWtX3XnnnTp8%2BPBFzYcABwAAcAGzZs3SiRMntHHjRn300Uc6ceKE4uPjz7v/nj17NGvWLCUlJTlfUVFRkqR169bpjTfe0LJly7Rt2zZ16tRJU6ZMkWEYVZ4PAQ4AAFjKbg1cQUGB1q9frylTpsjf319NmjTR9OnTtXbtWhUUFFTYv7i4WAcOHFDnzp0rPd/bb7%2Bt0aNHKyQkRF5eXpo2bZqOHz%2Bubdu2VXlOPMQAAAAsVRMfYigsLFR6enql2woKClRSUqLQ0FDnWHBwsAoLC5WamqqrrrrKZf/k5GSVlpZq4cKF%2Buabb1S/fn2NHDlS0dHRqlWrllJSUjRhwgTn/p6engoKClJycrKuvfbaKs2XAAcAAGwvIyNDmZmZLmMBAQEKDAys0vG7d%2B/WuHHjKt0WFxcnSfL19XWO%2Bfj4SFKl98GdPn1avXr10p133qnnn39e%2B/bt0%2BTJk1WrVi1FR0crLy/PeXw5b29v5efnV2muEgEOAABY7FI0cKtWrVJCQoLLWExMjGJjY6t0fFhYmPbv31/ptu%2B//14vvviiCgoK5OfnJ0nOpdN69epV2L93797q3bu38/3VV1%2Btu%2B66Sxs2bFB0dLR8fHxUWFjockxhYaHz3FVBgAMAALYXFRWl8PBwl7GAgIBqOXfbtm3l6emplJQUXXPNNZKkQ4cOOZc%2Bf23Tpk3KysrS7bff7hwrLi6Wt7e3JCkkJEQHDx5U3759JUklJSVKTU11WaK9EB5iAAAAlroUDzEEBgaqU6dOLq%2BqLp9eiI%2BPjwYOHKj4%2BHjl5OQoJydH8fHxGjx4sDOUncswDM2dO1dffvmlDMNQUlKSXn/9dedTqCNHjtSKFSuUnJysoqIizZ8/X02bNlWPHj2qPCcaOAAAYKma%2BBDDhcycOVPz5s1TRESESkpK1K9fPz3%2B%2BOPO7YMGDVJERIT%2B8pe/qH///poxY4aefPJJpaenq2nTpoqNjdXQoUMlSZGRkTp9%2BrQmT56snJwcdenSRUuXLpWnp2eV5%2BNhXMyHjuD38fBw9wwA%2B3M4pJ07pW7dpKQkd88GuDy4KQI8%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%2Bfr5mzZqlzZs3q7S0VP369dPMmTPl5%2BdXYd8nnnhC69evdxkrLCzU9ddfr2XLlqmsrEzdu3eXYRjy8PBw7vPFF1/I19e3SvOhgQMAALiAWbNm6cSJE9q4caM%2B%2BugjnThxQvHx8ZXu%2B/TTTyspKcn5WrRokRo0aKCHH35YkpSSkqKSkhJt377dZb%2BqhjeJAAcAACxWVlb9r0upoKBA69ev15QpU%2BTv768mTZpo%2BvTpWrt2rQoKCn7z2JycHE2fPl2PPvqoQkJCJEl79uxR%2B/btVbdu3d89J5ZQAQCApS5F4MrIyFBmZqbLWEBAgAIDA6t0fGFhodLT0yvdVlBQoJKSEoWGhjrHgoODVVhYqNTUVF111VXnPW98fLw6d%2B6sIUOGOMf27NmjoqIijRw5Uj/%2B%2BKOCg4M1bdo0devWrUpzlQhwAADgMrBq1SolJCS4jMXExCg2NrZKx%2B/evVvjxo2rdFtcXJwkuSxx%2Bvj4SJLy8vLOe860tDS99957euedd1zGvb29dfXVVysuLk4NGzbUypUrde%2B99%2Bq9995T69atqzRfAhwAALDUpWjgoqKiFB4e7jIWEBBQ5ePDwsK0f//%2BSrd9//33evHFF1VQUOB8aKF86bRevXrnPeeaNWvkcDgqNHTl98KVu/fee7V27Vpt3bpVY8eOrdJ8CXAAAMD2AgMDq7xcerHatm0rT09PpaSk6JprrpEkHTp0SJ6engoKCjrvcR999JHuueeeCuMLFizQgAED1LFjR%2BdYcXGxvLy8qjwnHmIAAACWsttDDD4%2BPho4cKDi4%2BOVk5OjnJwcxcfHa/DgwfL29q70mJ9//lmHDh1Sz549K2w7cOCAZs%2BerczMTBUXFyshIUG5ubnq379/ledEgAMAAJayW4CTpJkzZyooKEgRERH685//rFatWumJJ55wbh80aJBefvll5/tjx45Jkpo1a1bhXHPnzlWbNm00dOhQhYWFafv27fr73/8uf3//Ks/HwzAMw8Tvg6o450P6APxODoe0c6fUrZuUlOTu2QCXBzdFgN69q/%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%2Berblz5%2Brbb7%2BVJG3btk2zZs3Ss88%2Bqx07dmjIkCGaOHGiCgoKqjwXAhwAALCUHRu4L7/8UnfddZeGDx%2BuFi1a/Oa%2BH330kfz9/TVmzBjVqVNH1113nSIiIrRy5UpJ0jvvvKNBgwape/fu8vT01N13361GjRppw4YNVZ4PDzEAAABLXYrAlZGRoczMTJexgIAABQYGVun4wsJCpaenV7otICBAHTp00JYtW%2BTl5aW///3vv3mugwcPKjQ01GWsXbt2Wr16tSQpJSVFI0eOrLA9OTm5SnOVCHDWMAx3zwCwvYyMDK1atEhRH35Y5X8hA6iZLsVfi4sWrVJCQoLLWExMjGJjY6t0/O7duzVu3LhKty1evFi33HJLleeSl5cnHx8flzFvb2/l5%2BdXaXtVEOAA2EJmZqYSEhIUHh5OgANQQVRUlMLDw13GAgICqnx8WFiY9u/fXy1z8fHx0enTp13GCgsL5efn59xeWFhYYXujRo2q/DMIcAAAwPYCAwNrzH/chYaG6osvvnAZS0lJUUhIiCQpJCREBw8erLC9T58%2BVf4ZPMQAAABQjfr376%2BsrCwtX75cJSUl%2Buqrr7R%2B/XrnfW%2BRkZFav369vvrqK5WUlGj58uXKzs5W//79q/wzCHAAAAAmDRo0SC%2B//LIkqVGjRnrttdf04YcfKiwsTI899pgee%2BwxXXvttZKk6667TjNnztSTTz6pXr166f3331diYqL8/f2r/PM8DIM77AHUfBkZGVq1apWioqJqzDIJALgLAQ4AAMBmWEIFAACwGQIcAACAzRDgAAAAbIYABwAAYDMEOAAAAJshwAEAANgMAQ4AAMBmCHAAAAA2Q4ADAACwGQIcAACAzRDgAAAAbKaOuycAAOezbds2PfXUU0pNTdWvv7Z53759bpoVALgfX2YPoMYaPny4OnTooIiICNWp4/rfm7169XLTrADA/QhwAGosh8Ohr776Sl5eXu6eCgDUKNwDB6DGCgoKUkZGhrunAQA1DvfAAaixBg4cqOjoaEVGRiogIMBl27Bhw9w0KwBwP5ZQAdRY4eHhlY57eHjok08%2BsXg2AFBzEOAAAABshiVUADXad999p9WrV%2BvHH39UQECARowYoR49erh7WgDgVjzEAKDG%2Bs9//qPRo0fr5MmTat%2B%2BvXJzczV%2B/Hht2rTJ3VMDALdiCRVAjXXbbbdp/PjxGjhwoHPsgw8%2BUGJiotauXevGmQGAe9HAAaixjhw5ogEDBriMDRgwQKmpqe6ZEADUEAQ4ADWWv7%2B/Dhw44DKWnJxc4SNFAOCPhocYANRYo0aN0sSJE3X//ferVatWOnr0qBITEzV69Gh3Tw0A3Ip74ADUWIZhKCEhQWvXrlVWVpZatmypUaNGafz48apViwUEAH9cBDgAAACbYQkVQI3zyiuv6L777lNCQsJ594mJibFwRgBQsxDgANQ4O3bs0H333adt27ZVut3Dw8PiGQFAzcISKoAazTAMlZWVqXbt2srMzFTjxo1Vu3Ztd08LANyKu4AB1FjJyckKDw/X3r17JUmvvvqq/t//%2B386cuSIm2cGAO5FAwegxrrzzjvVs2dPTZo0SXXq1FFpaalefvll7dy5U6%2B99pq7pwcAbkOAA1Bj9ejRQzt27HC55%2B3MmTO69tprtWPHDjfODADciyVUADVWvXr1KiyXpqWlqUGDBm6aEQDUDDyFCqDGGj58uCZOnKjo6Gi1aNFCx48f17JlyzRixAh3Tw0A3IolVAA11pkzZ7RkyRK9%2B%2B67yszM1BVXXKERI0YoOjqaJ1EB/KER4AAAAGyGJVQANVZxcbHWr1%2Bv9PR0lZWVSZJKSkp04MABvfTSS26eHQC4DwEOQI31yCOP6PPPP1ejRo1UUlIiX19fHTx4UMOGDXP31ADArQhwAGqszz//XG%2B%2B%2BaZycnL05ptvav78%2BXrttdf07bffuntqAOBWfIwIgBqrrKxMV155pa688krt27dPkjRmzBh9/fXXbp4ZALgXAQ5AjdW8eXOlpaWpcePGys7OVn5%2BvgzDUF5enrunBgBuxRIqgBorIiJCo0eP1urVq3XzzTdr4sSJ8vLyUufOnd09NQBwKz5GBECN9sEHH%2Bimm25SWVmZnnvuOeXm5mrq1Klq3bq1u6cGAG5DgANQY02cOFHPPfec6tWr5%2B6pAECNwj1wAGqspKQk1a1b193TAIAahwYOQI31zDPP6NixY4qIiFBAQIA8PDyc23r27OnGmQGAexHgANRYHTp0qHTcw8PD%2BbEiAPBHRIADAACwGe6BA1CjFRcX6%2BOPP9by5ctVUFCg5ORkd08JANyOz4EDUGMdPXpU99xzj0pKSnTq1CnddNNNGjlypBISEtS3b193Tw8A3IYGDkCNNXv2bI0YMUKffvqp6tSpo7Zt2%2BqZZ57RwoUL3T01AHArAhyAGmvXrl2Kjo6Wh4eH8wnUoUOHKi0tzc0zAwD3IsABqLHq16%2BvrKwsl7HMzEw1bNjQTTMCgJqBAAegxoqIiFBMTIy%2B%2BOILlZWV6dtvv9X06dM1aNCg/9/e/bukF8VhHH8ww8Alw6xsiAgapC1sqqUhgoYKDIP%2BgJamuwiBNEpLgYtbEEE5FFKzFfQXWP%2BCEnQP/YJIKIs2Ib59V8%2B5%2BH6N557hGR/u4XOO7WgAYBXXiABw1ufnp/b29lQul9VsNhWJRJTJZJTL5XihAUBXo8ABCISnpyfFYrFfrzEAQLfiGhEATjs7O9P5%2BbmMMUomk1pbW9Pi4qLtWABgFQUOgLNKpZIODw%2BVzWY1MjKier2unZ0dvby8aH193XY8ALCGI1QAzpqbm1OpVNLU1FR77e7uTp7nqVqtWkwGAHYxhQrAWe/v75qcnPy1lkql9Pb2ZikRALiBAgfAWUtLS9rf39fX11d77eDgQAsLCxZTAYB9HKECcFY2m9Xt7a1isZhGR0fl%2B75831cikVBvb2973%2BXlpcWUANB5FDgAzqpUKmq1Wnp%2BftbAwIB6enr%2B3Le6utrhZABgF1OoAJxkjNHNzY2q1aparZbC4bDm5%2Be1vb2toaEh2/EAwCr%2BwAFwzuvrq1ZWVjQ8PKxMJqNEIqF6va5KpaKHhwddXFyov7/fdkwAsIYCB8A5u7u7ajQaKhaLv15e%2BP7%2B1tbWlsbGxpTL5SwmBAC7mEIF4Jyrqyt5nvfPs1mhUEie5zG0AKDrUeAAOMcYo/Hx8T%2B/TUxMyBjT4UQA4BYKHADnRCKR/5Y0Y4yi0WiHE5bR6CQAAAC6SURBVAGAWyhwAJyTTqd1fHz857eTkxPNzMx0OBEAuIVrRAA4Z3NzUxsbG%2Brr69Py8rLi8bju7%2B91enqqo6Mjlctl2xEBwCqmUAE46fr6Wvl8Xo%2BPj%2B21eDyuQqGg2dlZi8kAwD4KHABnfXx8qFaryfd9DQ4Oanp6WuEwBwcAQIEDAAAIGIYYAAAAAoYCBwAAEDAUOAAAgIChwAEAAAQMBQ4AACBgKHAAAAABQ4EDAAAIGAocAABAwPwA%2B9449FwXJKcAAAAASUVORK5CYII%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>Operacion</th>\n",
       "      <th>Puerto</th>\n",
       "      <th>Categoria</th>\n",
       "      <th>Servicio</th>\n",
       "      <th>Inicio</th>\n",
       "      <th>Fin</th>\n",
       "      <th>Trafico</th>\n",
       "      <th>Observaciones</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2344</td>\n",
       "      <td>BUN</td>\n",
       "      <td>Hogar - Textil</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-05 13:54:59.000</td>\n",
       "      <td>2015-03-09</td>\n",
       "      <td>Marítimo</td>\n",
       "      <td>// 2015-03-27 10:55:52 a.m. Entes de Control ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2406</td>\n",
       "      <td>CTG</td>\n",
       "      <td>Frescos</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-06 17:29:24.923</td>\n",
       "      <td>2015-02-06</td>\n",
       "      <td>Marítimo</td>\n",
       "      <td>2015-02-13 09:40:46 a.m. Proveedores : FEB 9 S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2406</td>\n",
       "      <td>CTG</td>\n",
       "      <td>Frescos</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-06 17:29:24.923</td>\n",
       "      <td>2015-02-06</td>\n",
       "      <td>Marítimo</td>\n",
       "      <td>2015-02-13 09:40:46 a.m. Proveedores : FEB 9 S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2449</td>\n",
       "      <td>CTG</td>\n",
       "      <td>PGC Alimentos</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-09 11:08:34.997</td>\n",
       "      <td>2015-02-02</td>\n",
       "      <td>Marítimo</td>\n",
       "      <td>2015-02-18 09:03:58 a.m. EXITO : FEBRERO 18 SE...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2450</td>\n",
       "      <td>CTG</td>\n",
       "      <td>PGC Alimentos</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-09 11:11:24.010</td>\n",
       "      <td>2015-02-02</td>\n",
       "      <td>Marítimo</td>\n",
       "      <td>2015-02-13 09:47:59 a.m. Entes de Control : FE...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "    </div>\n",
       "</div>\n",
       "</div>"
      ],
      "text/plain": [
       "<pandas_profiling.ProfileReport at 0x1dfc9722b70>"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Usando pandas profiling\n",
    "pandas_profiling.ProfileReport(dfMotInc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Análisis Calidad y Depuración**\n",
    "===="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfMotInc.drop('Observaciones', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['2015-03-09T00:00:00.000000000', '2015-02-06T00:00:00.000000000',\n",
       "       '2015-02-02T00:00:00.000000000', '2015-01-30T00:00:00.000000000',\n",
       "       '2015-02-17T00:00:00.000000000', '2015-02-12T00:00:00.000000000',\n",
       "       '2015-02-19T00:00:00.000000000', '2015-03-21T00:00:00.000000000',\n",
       "       '2015-02-11T00:00:00.000000000', '2015-01-28T00:00:00.000000000',\n",
       "       '2015-03-20T00:00:00.000000000', '2015-02-23T00:00:00.000000000',\n",
       "       '2015-03-23T00:00:00.000000000', '2015-04-01T00:00:00.000000000',\n",
       "       '2015-03-06T00:00:00.000000000', '2015-03-04T00:00:00.000000000',\n",
       "       '2015-03-16T00:00:00.000000000', '2015-03-11T00:00:00.000000000',\n",
       "       '2015-04-24T00:00:00.000000000', '2015-04-13T00:00:00.000000000',\n",
       "       '2015-03-10T00:00:00.000000000', '2015-03-18T00:00:00.000000000',\n",
       "       '2015-03-12T00:00:00.000000000', '2015-03-22T00:00:00.000000000',\n",
       "       '2015-03-24T00:00:00.000000000', '2015-03-15T00:00:00.000000000',\n",
       "       '2015-05-01T00:00:00.000000000', '2015-05-17T00:00:00.000000000',\n",
       "       '2015-04-06T00:00:00.000000000', '2015-07-07T00:00:00.000000000',\n",
       "       '2015-04-29T00:00:00.000000000', '2015-04-17T00:00:00.000000000',\n",
       "       '2015-04-05T00:00:00.000000000', '2015-04-26T00:00:00.000000000',\n",
       "       '2015-05-15T00:00:00.000000000', '2015-06-05T00:00:00.000000000',\n",
       "       '2015-04-22T00:00:00.000000000', '2015-06-12T00:00:00.000000000',\n",
       "       '2015-04-21T00:00:00.000000000', '2015-04-28T00:00:00.000000000',\n",
       "       '2015-06-07T00:00:00.000000000', '2015-05-29T00:00:00.000000000',\n",
       "       '2015-05-08T00:00:00.000000000', '2015-05-02T00:00:00.000000000',\n",
       "       '2015-07-03T00:00:00.000000000', '2015-05-07T00:00:00.000000000',\n",
       "       '2015-05-06T00:00:00.000000000', '2015-05-04T00:00:00.000000000',\n",
       "       '2015-05-22T00:00:00.000000000', '2015-06-04T00:00:00.000000000',\n",
       "       '2015-06-25T00:00:00.000000000', '2015-06-18T00:00:00.000000000',\n",
       "       '2015-05-14T00:00:00.000000000', '2015-06-09T00:00:00.000000000',\n",
       "       '2015-06-14T00:00:00.000000000', '2015-05-30T00:00:00.000000000',\n",
       "       '2015-05-25T00:00:00.000000000', '2015-06-02T00:00:00.000000000',\n",
       "       '2015-05-16T00:00:00.000000000', '2015-06-03T00:00:00.000000000',\n",
       "       '2015-05-18T00:00:00.000000000', '2015-06-01T00:00:00.000000000',\n",
       "       '2015-05-31T00:00:00.000000000', '2015-06-15T00:00:00.000000000',\n",
       "       '2015-06-08T00:00:00.000000000', '2015-06-21T00:00:00.000000000',\n",
       "       '2015-06-26T00:00:00.000000000', '2015-06-23T00:00:00.000000000',\n",
       "       '2015-07-02T00:00:00.000000000', '2015-05-27T00:00:00.000000000',\n",
       "       '2015-06-16T00:00:00.000000000', '2015-07-09T00:00:00.000000000',\n",
       "       '2015-06-22T00:00:00.000000000', '2015-07-08T00:00:00.000000000',\n",
       "       '2015-06-17T00:00:00.000000000', '2015-06-10T00:00:00.000000000',\n",
       "       '2015-07-27T00:00:00.000000000', '2015-07-20T00:00:00.000000000',\n",
       "       '2015-07-18T00:00:00.000000000', '2015-07-16T00:00:00.000000000',\n",
       "       '2015-07-24T00:00:00.000000000', '2015-06-29T00:00:00.000000000',\n",
       "       '2015-07-12T00:00:00.000000000', '2015-06-30T00:00:00.000000000',\n",
       "       '2015-07-23T00:00:00.000000000', '2015-06-19T00:00:00.000000000',\n",
       "       '2015-07-06T00:00:00.000000000', '2015-07-30T00:00:00.000000000',\n",
       "       '2015-07-31T00:00:00.000000000', '2015-07-13T00:00:00.000000000',\n",
       "       '2015-07-22T00:00:00.000000000', '2015-07-04T00:00:00.000000000',\n",
       "       '2015-08-07T00:00:00.000000000', '2015-07-01T00:00:00.000000000',\n",
       "       '2015-08-17T00:00:00.000000000', '2015-08-30T00:00:00.000000000',\n",
       "       '2015-07-17T00:00:00.000000000', '2015-07-19T00:00:00.000000000',\n",
       "       '2015-08-14T00:00:00.000000000', '2015-07-14T00:00:00.000000000',\n",
       "       '2015-07-28T00:00:00.000000000', '2015-07-29T00:00:00.000000000',\n",
       "       '2015-07-15T00:00:00.000000000', '2015-08-06T00:00:00.000000000',\n",
       "       '2015-08-02T00:00:00.000000000', '2015-08-27T00:00:00.000000000',\n",
       "       '2015-08-20T00:00:00.000000000', '2015-07-26T00:00:00.000000000',\n",
       "       '2015-08-16T00:00:00.000000000', '2015-08-08T00:00:00.000000000',\n",
       "       '2015-09-03T00:00:00.000000000', '2015-08-15T00:00:00.000000000',\n",
       "       '2015-08-12T00:00:00.000000000', '2015-08-05T00:00:00.000000000',\n",
       "       '2015-08-25T00:00:00.000000000', '2015-08-18T00:00:00.000000000',\n",
       "       '2015-08-03T00:00:00.000000000', '2015-08-31T00:00:00.000000000',\n",
       "       '2015-09-01T00:00:00.000000000', '2015-09-10T00:00:00.000000000',\n",
       "       '2015-08-11T00:00:00.000000000', '2015-08-09T00:00:00.000000000',\n",
       "       '2015-08-26T00:00:00.000000000', '2015-09-12T00:00:00.000000000',\n",
       "       '2015-08-13T00:00:00.000000000', '2015-09-09T00:00:00.000000000',\n",
       "       '2015-09-24T00:00:00.000000000', '2015-08-23T00:00:00.000000000',\n",
       "       '2015-08-19T00:00:00.000000000', '2015-09-08T00:00:00.000000000',\n",
       "       '2015-08-24T00:00:00.000000000', '2015-08-21T00:00:00.000000000',\n",
       "       '2015-09-21T00:00:00.000000000', '2015-08-28T00:00:00.000000000',\n",
       "       '2015-09-02T00:00:00.000000000', '2015-09-04T00:00:00.000000000',\n",
       "       '2015-09-14T00:00:00.000000000', '2015-09-06T00:00:00.000000000',\n",
       "       '2015-09-05T00:00:00.000000000', '2015-09-13T00:00:00.000000000',\n",
       "       '2015-08-29T00:00:00.000000000', '2015-09-15T00:00:00.000000000',\n",
       "       '2015-09-16T00:00:00.000000000', '2015-10-05T00:00:00.000000000',\n",
       "       '2015-10-02T00:00:00.000000000', '2015-10-01T00:00:00.000000000',\n",
       "       '2015-12-27T00:00:00.000000000', '2015-12-25T00:00:00.000000000',\n",
       "       '2016-01-03T00:00:00.000000000', '2016-01-07T00:00:00.000000000',\n",
       "       '2016-01-10T00:00:00.000000000', '2016-01-05T00:00:00.000000000',\n",
       "       '2015-12-21T00:00:00.000000000', '2016-01-06T00:00:00.000000000',\n",
       "       '2016-01-15T00:00:00.000000000', '2016-01-16T00:00:00.000000000',\n",
       "       '1900-01-01T00:00:00.000000000', '2016-03-23T00:00:00.000000000',\n",
       "       '2016-03-25T00:00:00.000000000', '2016-02-17T00:00:00.000000000',\n",
       "       '2016-03-18T00:00:00.000000000', '2016-02-07T00:00:00.000000000',\n",
       "       '2016-02-28T00:00:00.000000000', '2016-03-13T00:00:00.000000000',\n",
       "       '2016-03-06T00:00:00.000000000', '2016-03-11T00:00:00.000000000',\n",
       "       '2016-03-20T00:00:00.000000000', '2016-03-28T00:00:00.000000000',\n",
       "       '2016-05-27T00:00:00.000000000', '2016-05-07T00:00:00.000000000',\n",
       "       '2016-05-04T00:00:00.000000000', '2016-04-24T00:00:00.000000000',\n",
       "       '2016-05-10T00:00:00.000000000', '2016-06-03T00:00:00.000000000',\n",
       "       '2016-05-15T00:00:00.000000000', '2016-06-02T00:00:00.000000000',\n",
       "       '2016-05-24T00:00:00.000000000', '2016-06-05T00:00:00.000000000',\n",
       "       '2016-06-04T00:00:00.000000000', '2016-06-06T00:00:00.000000000',\n",
       "       '2016-06-20T00:00:00.000000000', '2016-05-18T00:00:00.000000000',\n",
       "       '2016-05-29T00:00:00.000000000', '2016-06-29T00:00:00.000000000',\n",
       "       '2016-06-16T00:00:00.000000000', '2016-06-10T00:00:00.000000000',\n",
       "       '2016-06-11T00:00:00.000000000', '2016-06-26T00:00:00.000000000',\n",
       "       '2016-06-12T00:00:00.000000000', '2016-06-08T00:00:00.000000000',\n",
       "       '2016-06-19T00:00:00.000000000', '2016-06-14T00:00:00.000000000',\n",
       "       '2016-07-14T00:00:00.000000000', '2016-07-13T00:00:00.000000000',\n",
       "       '2016-06-21T00:00:00.000000000',                           'NaT',\n",
       "       '2016-06-24T00:00:00.000000000', '2016-06-28T00:00:00.000000000',\n",
       "       '2016-07-07T00:00:00.000000000', '2016-07-06T00:00:00.000000000',\n",
       "       '2016-08-24T00:00:00.000000000', '2016-08-11T00:00:00.000000000',\n",
       "       '2016-09-18T00:00:00.000000000', '2016-10-31T00:00:00.000000000',\n",
       "       '2016-09-22T00:00:00.000000000', '2016-10-08T00:00:00.000000000',\n",
       "       '2016-10-07T00:00:00.000000000', '2016-10-05T00:00:00.000000000',\n",
       "       '2016-10-23T00:00:00.000000000', '2016-09-25T00:00:00.000000000',\n",
       "       '2016-10-02T00:00:00.000000000', '2016-10-09T00:00:00.000000000',\n",
       "       '2016-10-15T00:00:00.000000000', '2016-10-17T00:00:00.000000000',\n",
       "       '2016-10-06T00:00:00.000000000', '2016-11-29T00:00:00.000000000',\n",
       "       '2016-11-10T00:00:00.000000000', '2016-11-05T00:00:00.000000000',\n",
       "       '2016-11-01T00:00:00.000000000', '2016-11-15T00:00:00.000000000',\n",
       "       '2016-11-07T00:00:00.000000000', '2016-10-13T00:00:00.000000000',\n",
       "       '2016-11-30T00:00:00.000000000', '2016-10-30T00:00:00.000000000',\n",
       "       '2016-11-06T00:00:00.000000000', '2016-11-02T00:00:00.000000000',\n",
       "       '2016-10-25T00:00:00.000000000', '2016-11-14T00:00:00.000000000',\n",
       "       '2016-11-08T00:00:00.000000000', '2016-11-03T00:00:00.000000000',\n",
       "       '2016-11-24T00:00:00.000000000', '2016-11-23T00:00:00.000000000',\n",
       "       '2016-11-04T00:00:00.000000000', '2016-11-09T00:00:00.000000000',\n",
       "       '2016-11-27T00:00:00.000000000', '2016-12-06T00:00:00.000000000',\n",
       "       '2016-12-13T00:00:00.000000000', '2016-12-05T00:00:00.000000000',\n",
       "       '2016-12-11T00:00:00.000000000', '2016-12-07T00:00:00.000000000',\n",
       "       '2016-12-09T00:00:00.000000000', '2016-12-21T00:00:00.000000000',\n",
       "       '2016-12-14T00:00:00.000000000', '2017-01-03T00:00:00.000000000',\n",
       "       '2017-01-11T00:00:00.000000000', '2017-01-02T00:00:00.000000000',\n",
       "       '2017-01-04T00:00:00.000000000', '2016-12-22T00:00:00.000000000',\n",
       "       '2017-01-05T00:00:00.000000000', '2017-02-07T00:00:00.000000000',\n",
       "       '2017-02-23T00:00:00.000000000', '2017-01-31T00:00:00.000000000',\n",
       "       '2017-03-02T00:00:00.000000000', '2017-02-01T00:00:00.000000000',\n",
       "       '2017-03-05T00:00:00.000000000', '2017-02-21T00:00:00.000000000',\n",
       "       '2017-02-28T00:00:00.000000000', '2017-02-12T00:00:00.000000000',\n",
       "       '2017-02-06T00:00:00.000000000', '2017-03-06T00:00:00.000000000',\n",
       "       '2017-02-10T00:00:00.000000000', '2017-04-13T00:00:00.000000000',\n",
       "       '2017-02-11T00:00:00.000000000', '2017-02-17T00:00:00.000000000',\n",
       "       '2017-03-28T00:00:00.000000000', '2017-02-16T00:00:00.000000000',\n",
       "       '2017-02-19T00:00:00.000000000', '2017-03-26T00:00:00.000000000',\n",
       "       '2017-03-23T00:00:00.000000000', '2017-02-27T00:00:00.000000000',\n",
       "       '2017-02-24T00:00:00.000000000', '2017-03-01T00:00:00.000000000',\n",
       "       '2017-02-25T00:00:00.000000000', '2017-03-08T00:00:00.000000000',\n",
       "       '2017-03-04T00:00:00.000000000', '2017-03-03T00:00:00.000000000',\n",
       "       '2017-03-27T00:00:00.000000000', '2017-03-12T00:00:00.000000000',\n",
       "       '2017-04-01T00:00:00.000000000', '2017-03-14T00:00:00.000000000',\n",
       "       '2017-04-19T00:00:00.000000000', '2017-04-26T00:00:00.000000000',\n",
       "       '2017-04-12T00:00:00.000000000', '2017-03-11T00:00:00.000000000',\n",
       "       '2017-04-03T00:00:00.000000000', '2017-05-05T00:00:00.000000000',\n",
       "       '2017-03-22T00:00:00.000000000', '2017-03-15T00:00:00.000000000',\n",
       "       '2017-03-25T00:00:00.000000000', '2017-04-18T00:00:00.000000000',\n",
       "       '2017-03-31T00:00:00.000000000', '2017-04-07T00:00:00.000000000',\n",
       "       '2017-04-09T00:00:00.000000000', '2017-04-16T00:00:00.000000000',\n",
       "       '2017-04-02T00:00:00.000000000', '2017-05-03T00:00:00.000000000',\n",
       "       '2017-04-24T00:00:00.000000000', '2017-04-06T00:00:00.000000000',\n",
       "       '2017-04-15T00:00:00.000000000', '2017-05-09T00:00:00.000000000',\n",
       "       '2017-04-20T00:00:00.000000000', '2017-04-17T00:00:00.000000000',\n",
       "       '2017-05-02T00:00:00.000000000', '2017-05-18T00:00:00.000000000',\n",
       "       '2017-05-22T00:00:00.000000000', '2017-05-29T00:00:00.000000000',\n",
       "       '2017-06-01T00:00:00.000000000', '2017-04-28T00:00:00.000000000',\n",
       "       '2017-05-01T00:00:00.000000000', '2017-05-16T00:00:00.000000000',\n",
       "       '2017-05-26T00:00:00.000000000', '2017-04-29T00:00:00.000000000',\n",
       "       '2017-06-05T00:00:00.000000000', '2017-06-13T00:00:00.000000000',\n",
       "       '2017-05-27T00:00:00.000000000', '2017-05-12T00:00:00.000000000',\n",
       "       '2017-05-10T00:00:00.000000000', '2017-05-07T00:00:00.000000000',\n",
       "       '2017-05-08T00:00:00.000000000', '2017-05-31T00:00:00.000000000',\n",
       "       '2017-06-19T00:00:00.000000000', '2017-06-06T00:00:00.000000000',\n",
       "       '2017-06-07T00:00:00.000000000', '2017-07-04T00:00:00.000000000',\n",
       "       '2017-06-04T00:00:00.000000000', '2017-06-26T00:00:00.000000000',\n",
       "       '2017-06-11T00:00:00.000000000', '2017-07-28T00:00:00.000000000',\n",
       "       '2017-06-17T00:00:00.000000000', '2017-07-11T00:00:00.000000000',\n",
       "       '2017-07-08T00:00:00.000000000', '2017-06-23T00:00:00.000000000',\n",
       "       '2017-06-21T00:00:00.000000000', '2017-07-17T00:00:00.000000000',\n",
       "       '2017-08-02T00:00:00.000000000', '2017-06-24T00:00:00.000000000',\n",
       "       '2017-08-01T00:00:00.000000000', '2017-08-05T00:00:00.000000000',\n",
       "       '2017-07-27T00:00:00.000000000', '2017-08-15T00:00:00.000000000',\n",
       "       '2017-08-11T00:00:00.000000000', '2017-07-19T00:00:00.000000000',\n",
       "       '2017-07-25T00:00:00.000000000', '2017-08-09T00:00:00.000000000',\n",
       "       '2017-08-08T00:00:00.000000000', '2017-08-22T00:00:00.000000000',\n",
       "       '2017-09-01T00:00:00.000000000', '2017-07-26T00:00:00.000000000',\n",
       "       '2017-08-29T00:00:00.000000000', '2017-09-05T00:00:00.000000000',\n",
       "       '2017-09-18T00:00:00.000000000', '2017-08-06T00:00:00.000000000',\n",
       "       '2017-08-21T00:00:00.000000000', '2017-09-12T00:00:00.000000000',\n",
       "       '2017-08-17T00:00:00.000000000', '2017-09-03T00:00:00.000000000',\n",
       "       '2017-08-14T00:00:00.000000000', '2017-09-11T00:00:00.000000000',\n",
       "       '2017-08-16T00:00:00.000000000', '2017-10-02T00:00:00.000000000',\n",
       "       '2017-10-16T00:00:00.000000000', '2017-09-04T00:00:00.000000000',\n",
       "       '2017-09-19T00:00:00.000000000', '2017-10-09T00:00:00.000000000',\n",
       "       '2017-09-08T00:00:00.000000000', '2017-10-27T00:00:00.000000000',\n",
       "       '2017-10-13T00:00:00.000000000', '2017-10-01T00:00:00.000000000',\n",
       "       '2017-11-02T00:00:00.000000000', '2017-10-30T00:00:00.000000000',\n",
       "       '2017-10-20T00:00:00.000000000', '2017-10-11T00:00:00.000000000',\n",
       "       '2017-10-18T00:00:00.000000000', '2017-10-15T00:00:00.000000000',\n",
       "       '2017-10-24T00:00:00.000000000', '2017-10-07T00:00:00.000000000',\n",
       "       '2017-10-10T00:00:00.000000000', '2017-10-28T00:00:00.000000000',\n",
       "       '2017-10-12T00:00:00.000000000', '2017-11-06T00:00:00.000000000',\n",
       "       '2017-10-29T00:00:00.000000000', '2017-10-22T00:00:00.000000000',\n",
       "       '2017-10-19T00:00:00.000000000', '2017-10-21T00:00:00.000000000',\n",
       "       '2017-11-21T00:00:00.000000000', '2017-11-13T00:00:00.000000000',\n",
       "       '2017-10-25T00:00:00.000000000', '2017-11-14T00:00:00.000000000',\n",
       "       '2017-11-09T00:00:00.000000000', '2017-11-07T00:00:00.000000000',\n",
       "       '2017-10-26T00:00:00.000000000', '2017-11-05T00:00:00.000000000',\n",
       "       '2017-11-03T00:00:00.000000000', '2017-11-04T00:00:00.000000000',\n",
       "       '2017-11-01T00:00:00.000000000', '2017-11-28T00:00:00.000000000',\n",
       "       '2017-11-12T00:00:00.000000000', '2017-12-05T00:00:00.000000000',\n",
       "       '2017-11-16T00:00:00.000000000', '2017-12-06T00:00:00.000000000',\n",
       "       '2017-11-24T00:00:00.000000000', '2017-11-11T00:00:00.000000000',\n",
       "       '2017-11-27T00:00:00.000000000', '2017-12-26T00:00:00.000000000',\n",
       "       '2017-11-26T00:00:00.000000000', '2018-01-02T00:00:00.000000000',\n",
       "       '2017-12-19T00:00:00.000000000', '2018-01-03T00:00:00.000000000',\n",
       "       '2018-01-12T00:00:00.000000000', '2018-01-11T00:00:00.000000000',\n",
       "       '2018-01-10T00:00:00.000000000', '2018-01-16T00:00:00.000000000',\n",
       "       '2018-01-01T00:00:00.000000000', '2018-01-18T00:00:00.000000000',\n",
       "       '2018-01-23T00:00:00.000000000', '2017-12-29T00:00:00.000000000',\n",
       "       '2018-01-08T00:00:00.000000000', '2018-01-09T00:00:00.000000000',\n",
       "       '2018-01-06T00:00:00.000000000', '2018-01-15T00:00:00.000000000',\n",
       "       '2018-01-14T00:00:00.000000000', '2018-01-30T00:00:00.000000000',\n",
       "       '2017-12-31T00:00:00.000000000', '2017-12-28T00:00:00.000000000',\n",
       "       '2017-12-27T00:00:00.000000000', '2018-01-04T00:00:00.000000000',\n",
       "       '2018-01-07T00:00:00.000000000', '2018-02-13T00:00:00.000000000',\n",
       "       '2018-02-20T00:00:00.000000000', '2018-02-27T00:00:00.000000000',\n",
       "       '2018-03-28T00:00:00.000000000', '2018-03-20T00:00:00.000000000',\n",
       "       '2018-03-15T00:00:00.000000000', '2018-03-08T00:00:00.000000000',\n",
       "       '2018-01-05T00:00:00.000000000', '2017-12-30T00:00:00.000000000',\n",
       "       '2018-02-28T00:00:00.000000000', '2018-01-20T00:00:00.000000000',\n",
       "       '2018-02-06T00:00:00.000000000', '2018-01-24T00:00:00.000000000',\n",
       "       '2018-02-01T00:00:00.000000000', '2018-03-01T00:00:00.000000000',\n",
       "       '2018-01-22T00:00:00.000000000', '2018-01-29T00:00:00.000000000',\n",
       "       '2018-04-24T00:00:00.000000000', '2018-01-13T00:00:00.000000000',\n",
       "       '2018-02-18T00:00:00.000000000', '2018-02-26T00:00:00.000000000',\n",
       "       '2018-02-12T00:00:00.000000000', '2018-03-05T00:00:00.000000000',\n",
       "       '2018-01-21T00:00:00.000000000', '2018-02-04T00:00:00.000000000',\n",
       "       '2018-02-14T00:00:00.000000000', '2018-02-19T00:00:00.000000000',\n",
       "       '2018-02-11T00:00:00.000000000', '2018-02-15T00:00:00.000000000',\n",
       "       '2018-01-25T00:00:00.000000000', '2018-03-30T00:00:00.000000000',\n",
       "       '2018-05-01T00:00:00.000000000', '2018-03-14T00:00:00.000000000',\n",
       "       '2018-02-08T00:00:00.000000000', '2018-02-03T00:00:00.000000000',\n",
       "       '2018-05-08T00:00:00.000000000', '2018-02-16T00:00:00.000000000',\n",
       "       '2018-02-02T00:00:00.000000000', '2018-02-21T00:00:00.000000000',\n",
       "       '2018-04-04T00:00:00.000000000', '2018-02-24T00:00:00.000000000',\n",
       "       '2018-03-03T00:00:00.000000000', '2018-03-06T00:00:00.000000000',\n",
       "       '2018-02-25T00:00:00.000000000', '2018-04-12T00:00:00.000000000',\n",
       "       '2018-01-28T00:00:00.000000000', '2018-02-05T00:00:00.000000000',\n",
       "       '2018-02-23T00:00:00.000000000', '2018-03-22T00:00:00.000000000',\n",
       "       '2018-04-22T00:00:00.000000000', '2018-03-17T00:00:00.000000000',\n",
       "       '2018-04-19T00:00:00.000000000', '2018-01-26T00:00:00.000000000',\n",
       "       '2018-02-07T00:00:00.000000000', '2018-06-07T00:00:00.000000000',\n",
       "       '2018-04-17T00:00:00.000000000', '2018-09-09T00:00:00.000000000',\n",
       "       '2018-03-16T00:00:00.000000000', '2018-03-04T00:00:00.000000000',\n",
       "       '2018-03-18T00:00:00.000000000', '2018-02-22T00:00:00.000000000',\n",
       "       '2018-04-23T00:00:00.000000000', '2018-04-30T00:00:00.000000000',\n",
       "       '2018-05-14T00:00:00.000000000', '2018-04-03T00:00:00.000000000',\n",
       "       '2018-05-28T00:00:00.000000000', '2018-08-21T00:00:00.000000000',\n",
       "       '2018-08-08T00:00:00.000000000', '2018-06-26T00:00:00.000000000',\n",
       "       '2018-06-05T00:00:00.000000000', '2018-03-11T00:00:00.000000000',\n",
       "       '2018-05-13T00:00:00.000000000', '2018-03-12T00:00:00.000000000',\n",
       "       '2018-03-13T00:00:00.000000000', '2018-01-27T00:00:00.000000000',\n",
       "       '2018-01-31T00:00:00.000000000', '2018-07-31T00:00:00.000000000',\n",
       "       '2018-08-18T00:00:00.000000000', '2018-07-24T00:00:00.000000000',\n",
       "       '2018-07-06T00:00:00.000000000', '2018-05-25T00:00:00.000000000',\n",
       "       '2018-08-07T00:00:00.000000000', '2018-02-09T00:00:00.000000000',\n",
       "       '2018-06-09T00:00:00.000000000', '2018-03-19T00:00:00.000000000',\n",
       "       '2018-04-29T00:00:00.000000000', '2018-03-31T00:00:00.000000000',\n",
       "       '2018-02-10T00:00:00.000000000', '2018-04-07T00:00:00.000000000',\n",
       "       '2018-03-09T00:00:00.000000000', '2018-04-05T00:00:00.000000000',\n",
       "       '2018-03-23T00:00:00.000000000', '2018-03-02T00:00:00.000000000',\n",
       "       '2018-06-01T00:00:00.000000000', '2018-05-18T00:00:00.000000000',\n",
       "       '2018-04-06T00:00:00.000000000', '2018-03-25T00:00:00.000000000',\n",
       "       '2018-03-27T00:00:00.000000000', '2018-09-27T00:00:00.000000000',\n",
       "       '2018-06-14T00:00:00.000000000', '2018-05-23T00:00:00.000000000',\n",
       "       '2018-08-31T00:00:00.000000000', '2018-07-17T00:00:00.000000000',\n",
       "       '2018-09-13T00:00:00.000000000', '2018-04-13T00:00:00.000000000',\n",
       "       '2018-04-21T00:00:00.000000000', '2018-04-08T00:00:00.000000000',\n",
       "       '2018-03-29T00:00:00.000000000', '2018-09-18T00:00:00.000000000',\n",
       "       '2018-04-09T00:00:00.000000000', '2018-10-24T00:00:00.000000000',\n",
       "       '2018-04-14T00:00:00.000000000', '2018-09-21T00:00:00.000000000',\n",
       "       '2018-04-02T00:00:00.000000000', '2018-03-26T00:00:00.000000000',\n",
       "       '2018-05-21T00:00:00.000000000', '2018-05-04T00:00:00.000000000',\n",
       "       '2018-04-20T00:00:00.000000000', '2018-03-21T00:00:00.000000000',\n",
       "       '2018-03-07T00:00:00.000000000', '2018-05-05T00:00:00.000000000',\n",
       "       '2018-03-24T00:00:00.000000000', '2018-05-15T00:00:00.000000000',\n",
       "       '2018-06-12T00:00:00.000000000', '2018-10-03T00:00:00.000000000',\n",
       "       '2018-06-20T00:00:00.000000000', '2018-05-10T00:00:00.000000000',\n",
       "       '2018-06-19T00:00:00.000000000', '2018-05-07T00:00:00.000000000',\n",
       "       '2018-04-27T00:00:00.000000000', '2018-03-10T00:00:00.000000000',\n",
       "       '2018-04-11T00:00:00.000000000', '2019-01-02T00:00:00.000000000',\n",
       "       '2018-07-10T00:00:00.000000000', '2018-07-07T00:00:00.000000000',\n",
       "       '2018-04-01T00:00:00.000000000', '2018-05-22T00:00:00.000000000',\n",
       "       '2018-06-22T00:00:00.000000000', '2018-04-10T00:00:00.000000000',\n",
       "       '2018-04-26T00:00:00.000000000', '2018-06-10T00:00:00.000000000',\n",
       "       '2018-07-05T00:00:00.000000000', '2018-05-24T00:00:00.000000000',\n",
       "       '2018-06-29T00:00:00.000000000', '2018-04-25T00:00:00.000000000',\n",
       "       '2018-06-13T00:00:00.000000000', '2018-05-11T00:00:00.000000000',\n",
       "       '2018-04-16T00:00:00.000000000', '2018-04-18T00:00:00.000000000',\n",
       "       '2018-05-09T00:00:00.000000000', '2018-05-17T00:00:00.000000000',\n",
       "       '2018-06-04T00:00:00.000000000', '2018-08-09T00:00:00.000000000',\n",
       "       '2018-05-29T00:00:00.000000000', '2018-06-17T00:00:00.000000000',\n",
       "       '2018-05-03T00:00:00.000000000', '2018-05-27T00:00:00.000000000',\n",
       "       '2018-06-16T00:00:00.000000000', '2018-09-03T00:00:00.000000000',\n",
       "       '2018-05-06T00:00:00.000000000', '2018-06-03T00:00:00.000000000',\n",
       "       '2018-08-26T00:00:00.000000000', '2018-05-20T00:00:00.000000000',\n",
       "       '2019-01-08T00:00:00.000000000', '2018-08-14T00:00:00.000000000',\n",
       "       '2018-06-15T00:00:00.000000000', '2018-06-08T00:00:00.000000000',\n",
       "       '2018-05-19T00:00:00.000000000', '2018-04-15T00:00:00.000000000',\n",
       "       '2018-05-02T00:00:00.000000000', '2018-05-12T00:00:00.000000000',\n",
       "       '2018-08-02T00:00:00.000000000', '2018-09-06T00:00:00.000000000',\n",
       "       '2018-06-28T00:00:00.000000000', '2018-07-22T00:00:00.000000000',\n",
       "       '2018-07-01T00:00:00.000000000', '2018-07-08T00:00:00.000000000',\n",
       "       '2018-08-01T00:00:00.000000000', '2018-08-05T00:00:00.000000000',\n",
       "       '2018-05-31T00:00:00.000000000', '2019-01-07T00:00:00.000000000',\n",
       "       '2018-06-24T00:00:00.000000000', '2018-06-06T00:00:00.000000000',\n",
       "       '2018-07-26T00:00:00.000000000', '2018-07-12T00:00:00.000000000',\n",
       "       '2018-08-16T00:00:00.000000000', '2018-07-15T00:00:00.000000000',\n",
       "       '2018-06-27T00:00:00.000000000', '2018-05-16T00:00:00.000000000',\n",
       "       '2018-09-02T00:00:00.000000000', '2018-05-30T00:00:00.000000000',\n",
       "       '2018-06-11T00:00:00.000000000', '2018-08-28T00:00:00.000000000',\n",
       "       '2018-07-30T00:00:00.000000000', '2018-06-23T00:00:00.000000000',\n",
       "       '2018-11-18T00:00:00.000000000', '2018-08-04T00:00:00.000000000',\n",
       "       '2018-06-18T00:00:00.000000000', '2018-08-17T00:00:00.000000000',\n",
       "       '2018-07-27T00:00:00.000000000', '2018-09-26T00:00:00.000000000',\n",
       "       '2018-06-25T00:00:00.000000000', '2018-07-03T00:00:00.000000000',\n",
       "       '2018-07-02T00:00:00.000000000', '2018-07-13T00:00:00.000000000',\n",
       "       '2018-09-23T00:00:00.000000000', '2018-10-13T00:00:00.000000000',\n",
       "       '2018-07-19T00:00:00.000000000', '2018-07-14T00:00:00.000000000',\n",
       "       '2018-06-21T00:00:00.000000000', '2018-09-04T00:00:00.000000000',\n",
       "       '2018-12-16T00:00:00.000000000', '2018-08-12T00:00:00.000000000',\n",
       "       '2018-08-15T00:00:00.000000000', '2018-11-08T00:00:00.000000000',\n",
       "       '2018-10-01T00:00:00.000000000', '2018-08-22T00:00:00.000000000',\n",
       "       '2018-07-29T00:00:00.000000000', '2018-09-12T00:00:00.000000000',\n",
       "       '2018-07-18T00:00:00.000000000', '2018-09-25T00:00:00.000000000',\n",
       "       '2018-10-05T00:00:00.000000000', '2018-07-04T00:00:00.000000000',\n",
       "       '2018-08-20T00:00:00.000000000', '2018-07-25T00:00:00.000000000',\n",
       "       '2018-07-23T00:00:00.000000000', '2018-07-11T00:00:00.000000000',\n",
       "       '2018-08-23T00:00:00.000000000', '2018-09-07T00:00:00.000000000',\n",
       "       '2018-08-30T00:00:00.000000000', '2018-08-06T00:00:00.000000000',\n",
       "       '2018-08-19T00:00:00.000000000', '2018-07-28T00:00:00.000000000',\n",
       "       '2018-10-02T00:00:00.000000000', '2018-08-11T00:00:00.000000000',\n",
       "       '2018-08-03T00:00:00.000000000', '2018-10-16T00:00:00.000000000',\n",
       "       '2018-08-13T00:00:00.000000000', '2018-09-14T00:00:00.000000000',\n",
       "       '2018-09-05T00:00:00.000000000', '2018-06-30T00:00:00.000000000',\n",
       "       '2018-10-19T00:00:00.000000000', '2018-09-28T00:00:00.000000000',\n",
       "       '2018-08-29T00:00:00.000000000', '2018-11-12T00:00:00.000000000',\n",
       "       '2018-09-01T00:00:00.000000000', '2018-08-10T00:00:00.000000000',\n",
       "       '2018-10-30T00:00:00.000000000', '2018-10-20T00:00:00.000000000',\n",
       "       '2018-11-13T00:00:00.000000000', '2018-07-21T00:00:00.000000000',\n",
       "       '2018-09-16T00:00:00.000000000', '2018-08-27T00:00:00.000000000',\n",
       "       '2018-09-10T00:00:00.000000000', '2018-11-29T00:00:00.000000000',\n",
       "       '2018-10-07T00:00:00.000000000', '2018-10-06T00:00:00.000000000',\n",
       "       '2018-09-30T00:00:00.000000000', '2018-11-28T00:00:00.000000000',\n",
       "       '2018-09-24T00:00:00.000000000', '2018-12-04T00:00:00.000000000',\n",
       "       '2018-10-26T00:00:00.000000000', '2018-09-11T00:00:00.000000000',\n",
       "       '2018-09-08T00:00:00.000000000', '2018-11-06T00:00:00.000000000',\n",
       "       '2018-12-18T00:00:00.000000000', '2018-10-21T00:00:00.000000000',\n",
       "       '2018-10-09T00:00:00.000000000', '2018-09-19T00:00:00.000000000',\n",
       "       '2018-09-29T00:00:00.000000000', '2018-10-15T00:00:00.000000000',\n",
       "       '2018-10-14T00:00:00.000000000', '2018-09-22T00:00:00.000000000',\n",
       "       '2018-10-10T00:00:00.000000000', '2018-11-04T00:00:00.000000000',\n",
       "       '2018-11-20T00:00:00.000000000', '2018-10-08T00:00:00.000000000',\n",
       "       '2018-09-17T00:00:00.000000000', '2018-12-05T00:00:00.000000000',\n",
       "       '2018-10-28T00:00:00.000000000', '2019-01-20T00:00:00.000000000',\n",
       "       '2018-10-27T00:00:00.000000000', '2018-10-23T00:00:00.000000000',\n",
       "       '2019-01-09T00:00:00.000000000', '2018-12-12T00:00:00.000000000',\n",
       "       '2018-09-20T00:00:00.000000000', '2018-10-04T00:00:00.000000000',\n",
       "       '2018-10-12T00:00:00.000000000', '2018-10-17T00:00:00.000000000',\n",
       "       '2018-09-15T00:00:00.000000000', '2018-10-25T00:00:00.000000000',\n",
       "       '2018-11-07T00:00:00.000000000', '2018-10-11T00:00:00.000000000',\n",
       "       '2018-10-22T00:00:00.000000000', '2019-01-10T00:00:00.000000000',\n",
       "       '2018-11-27T00:00:00.000000000', '2018-11-02T00:00:00.000000000',\n",
       "       '2018-12-09T00:00:00.000000000', '2018-11-14T00:00:00.000000000',\n",
       "       '2019-01-01T00:00:00.000000000', '2018-12-06T00:00:00.000000000',\n",
       "       '2018-11-25T00:00:00.000000000', '2018-11-09T00:00:00.000000000',\n",
       "       '2018-12-01T00:00:00.000000000', '2018-11-10T00:00:00.000000000',\n",
       "       '2018-12-11T00:00:00.000000000', '2018-11-05T00:00:00.000000000',\n",
       "       '2018-11-11T00:00:00.000000000', '2018-11-23T00:00:00.000000000',\n",
       "       '2018-12-14T00:00:00.000000000', '2018-12-02T00:00:00.000000000',\n",
       "       '2018-11-17T00:00:00.000000000', '2019-01-11T00:00:00.000000000',\n",
       "       '2018-11-22T00:00:00.000000000', '2018-12-25T00:00:00.000000000',\n",
       "       '2018-11-15T00:00:00.000000000', '2019-01-06T00:00:00.000000000',\n",
       "       '2018-11-24T00:00:00.000000000', '2018-11-01T00:00:00.000000000',\n",
       "       '2018-11-26T00:00:00.000000000', '2018-10-29T00:00:00.000000000',\n",
       "       '2018-11-21T00:00:00.000000000', '2018-12-19T00:00:00.000000000',\n",
       "       '2018-12-21T00:00:00.000000000', '2018-12-08T00:00:00.000000000',\n",
       "       '2018-12-10T00:00:00.000000000', '2018-11-16T00:00:00.000000000',\n",
       "       '2019-01-22T00:00:00.000000000', '2018-12-27T00:00:00.000000000',\n",
       "       '2018-12-20T00:00:00.000000000', '2019-01-16T00:00:00.000000000',\n",
       "       '2018-12-07T00:00:00.000000000', '2018-12-13T00:00:00.000000000',\n",
       "       '2018-11-19T00:00:00.000000000', '2019-01-03T00:00:00.000000000',\n",
       "       '2019-01-04T00:00:00.000000000', '2019-01-18T00:00:00.000000000',\n",
       "       '2019-01-23T00:00:00.000000000', '2019-01-13T00:00:00.000000000',\n",
       "       '2019-01-26T00:00:00.000000000', '2019-01-15T00:00:00.000000000',\n",
       "       '2018-12-22T00:00:00.000000000', '2018-12-15T00:00:00.000000000',\n",
       "       '2019-01-05T00:00:00.000000000', '2019-01-21T00:00:00.000000000',\n",
       "       '2019-01-24T00:00:00.000000000', '2019-01-25T00:00:00.000000000',\n",
       "       '2018-12-23T00:00:00.000000000', '2019-01-27T00:00:00.000000000',\n",
       "       '2019-02-15T00:00:00.000000000', '2019-01-30T00:00:00.000000000',\n",
       "       '2018-12-26T00:00:00.000000000', '2019-01-12T00:00:00.000000000',\n",
       "       '2018-12-28T00:00:00.000000000', '2019-01-17T00:00:00.000000000',\n",
       "       '2019-01-28T00:00:00.000000000', '2019-02-22T00:00:00.000000000',\n",
       "       '2019-02-18T00:00:00.000000000', '2019-02-19T00:00:00.000000000',\n",
       "       '2019-02-21T00:00:00.000000000', '2019-02-16T00:00:00.000000000'],\n",
       "      dtype='datetime64[ns]')"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Revisando fechas \n",
    "dfMotInc.Fin.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-> 'NaT' significa que hay nulos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ¿Por qué existe la siguiente fecha ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Operacion</th>\n",
       "      <th>Puerto</th>\n",
       "      <th>Categoria</th>\n",
       "      <th>Servicio</th>\n",
       "      <th>Inicio</th>\n",
       "      <th>Fin</th>\n",
       "      <th>Trafico</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1169</th>\n",
       "      <td>25613</td>\n",
       "      <td>BOG</td>\n",
       "      <td>Entretenimiento</td>\n",
       "      <td>Importación Terrestre</td>\n",
       "      <td>2016-01-05 11:52:30.817</td>\n",
       "      <td>1900-01-01</td>\n",
       "      <td>Terrestre</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Operacion Puerto        Categoria               Servicio  \\\n",
       "1169      25613    BOG  Entretenimiento  Importación Terrestre   \n",
       "\n",
       "                      Inicio        Fin    Trafico  \n",
       "1169 2016-01-05 11:52:30.817 1900-01-01  Terrestre  "
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfMotInc[dfMotInc.Fin=='1/01/1900']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cambiando valor a nulo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfMotInc.at[1169,'Fin']=np.nan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Volviendo a revisar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Operacion                         25613\n",
       "Puerto                              BOG\n",
       "Categoria               Entretenimiento\n",
       "Servicio          Importación Terrestre\n",
       "Inicio       2016-01-05 11:52:30.817000\n",
       "Fin                                 NaT\n",
       "Trafico                       Terrestre\n",
       "Name: 1169, dtype: object"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfMotInc.loc[1169]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Para cambiar formato de fecha si se necesitara\n",
    "#FECHA=pd.to_datetime(A_FECHA_INGRESO)\n",
    "#dfNacimientos['FECHA_NACIMIENTO']= pd.to_datetime(dfNacimientos['FECHA_NACIMIENTO'],dayfirst=True,errors='coerce',format='%d/%m/%Y')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reporte de Missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>% of Total Values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>Categoria</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
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       "      <th>Servicio</th>\n",
       "      <td>0</td>\n",
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       "      <td>80</td>\n",
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       "      <td>0</td>\n",
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      "text/plain": [
       "           Missing Values  % of Total Values\n",
       "Operacion               0           0.000000\n",
       "Puerto                  0           0.000000\n",
       "Categoria               0           0.000000\n",
       "Servicio                0           0.000000\n",
       "Inicio                  0           0.000000\n",
       "Fin                    80           1.028674\n",
       "Trafico                 0           0.000000"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reporte de missing values dado la funcion missing_values_table\n",
    "missing_values_table(dfMotInc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Eliminando duplicados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfMotIncSinDuplicados = dfMotInc.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3448, 7)"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfMotIncSinDuplicados.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Eliminando missing values, pero primero se debe saber donde estan y cuantos son\n",
    "dfMotIncSinDuplicados.isnull().any().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(60, 7)"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Se va a chequear las filas con problemas NULL\n",
    "dataNullDf = dfMotIncSinDuplicados[pd.isnull(dfMotIncSinDuplicados).any(axis=1)]\n",
    "# Viendo cuantas filas tienen problemas de NULL\n",
    "dataNullDf.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ¿Qué problema podria haber al eliminar los datos nulos?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3388, 7)"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Renombrando el dataframe without nulls\n",
    "dfMotIncSinDuplicados_sin_Null = dfMotIncSinDuplicados.dropna()\n",
    "dfMotIncSinDuplicados_sin_Null.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Categoria</th>\n",
       "      <th>Servicio</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2344</td>\n",
       "      <td>BUN</td>\n",
       "      <td>Hogar - Textil</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-05 13:54:59.000</td>\n",
       "      <td>2015-03-09</td>\n",
       "      <td>Marítimo</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2406</td>\n",
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       "      <td>2015-02-06</td>\n",
       "      <td>Marítimo</td>\n",
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       "      <th>3</th>\n",
       "      <td>2449</td>\n",
       "      <td>CTG</td>\n",
       "      <td>PGC Alimentos</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-09 11:08:34.997</td>\n",
       "      <td>2015-02-02</td>\n",
       "      <td>Marítimo</td>\n",
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       "      <th>4</th>\n",
       "      <td>2450</td>\n",
       "      <td>CTG</td>\n",
       "      <td>PGC Alimentos</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-09 11:11:24.010</td>\n",
       "      <td>2015-02-02</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2458</td>\n",
       "      <td>BUN</td>\n",
       "      <td>PGC Alimentos</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-09 12:29:03.000</td>\n",
       "      <td>2015-01-30</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Operacion Puerto       Categoria              Servicio  \\\n",
       "0       2344    BUN  Hogar - Textil  Importación Marítima   \n",
       "1       2406    CTG         Frescos  Importación Marítima   \n",
       "3       2449    CTG   PGC Alimentos  Importación Marítima   \n",
       "4       2450    CTG   PGC Alimentos  Importación Marítima   \n",
       "5       2458    BUN   PGC Alimentos  Importación Marítima   \n",
       "\n",
       "                   Inicio        Fin   Trafico  \n",
       "0 2015-02-05 13:54:59.000 2015-03-09  Marítimo  \n",
       "1 2015-02-06 17:29:24.923 2015-02-06  Marítimo  \n",
       "3 2015-02-09 11:08:34.997 2015-02-02  Marítimo  \n",
       "4 2015-02-09 11:11:24.010 2015-02-02  Marítimo  \n",
       "5 2015-02-09 12:29:03.000 2015-01-30  Marítimo  "
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfMotIncSinDuplicados_sin_Null.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cambiar formato a variables nominales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\lc.mojica639\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[Hogar - Textil, Frescos, PGC Alimentos, PGC Licores, Entretenimiento, Fruver, Activos Fijos]\n",
       "Categories (7, object): [Hogar - Textil, Frescos, PGC Alimentos, PGC Licores, Entretenimiento, Fruver, Activos Fijos]"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfMotIncSinDuplicados_sin_Null['Categoria']=dfMotIncSinDuplicados_sin_Null['Categoria'].astype('category')\n",
    "dfMotIncSinDuplicados_sin_Null.Categoria.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\lc.mojica639\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "#Renombrar categorías\n",
    "dfMotIncSinDuplicados_sin_Null['Categoria'] = dfMotIncSinDuplicados_sin_Null['Categoria'].cat.rename_categories(['HT','RF','PA','PL','EN','FR','AF'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Revisamos el cambio de datatypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Operacion             int64\n",
       "Puerto               object\n",
       "Categoria          category\n",
       "Servicio             object\n",
       "Inicio       datetime64[ns]\n",
       "Fin          datetime64[ns]\n",
       "Trafico              object\n",
       "dtype: object"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Chequeando cambios\n",
    "dfMotIncSinDuplicados_sin_Null.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Verificacion estado del dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       "            <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_Operacion\"><code>Operacion</code></a> is highly correlated with <a href=\"#pp_var_index\"><code>index</code></a> (ρ = 0.91665) <span class=\"label label-primary\">Rejected</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_Categoria\">Categoria<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>7</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>0.2%</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=\"minifreqtable1123616033823342363\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>RF</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:87%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 29.4%\">\n",
       "            995\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>PA</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:56%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 18.8%\">\n",
       "            637\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>FR</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:53%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 18.1%\">\n",
       "            612\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"other\">\n",
       "    <th>Other values (4)</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: 33.8%\">\n",
       "            1144\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable1123616033823342363, #minifreqtable1123616033823342363\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable1123616033823342363\">\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\">RF</td>\n",
       "        <td class=\"number\">995</td>\n",
       "        <td class=\"number\">29.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">PA</td>\n",
       "        <td class=\"number\">637</td>\n",
       "        <td class=\"number\">18.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:64%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">FR</td>\n",
       "        <td class=\"number\">612</td>\n",
       "        <td class=\"number\">18.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:61%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">EN</td>\n",
       "        <td class=\"number\">491</td>\n",
       "        <td class=\"number\">14.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:49%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">PL</td>\n",
       "        <td class=\"number\">463</td>\n",
       "        <td class=\"number\">13.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:47%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">AF</td>\n",
       "        <td class=\"number\">186</td>\n",
       "        <td class=\"number\">5.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">HT</td>\n",
       "        <td class=\"number\">4</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_Fin\">Fin<br/>\n",
       "            <small>Date</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>786</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>23.2%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>2015-01-28 00:00:00</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>2019-02-22 00:00:00</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-3755072596983024755\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAABdFJREFUeJzt3EFoE1kcBvAvZTWoND1U7SFJlTaJUmISmlUEFUUpVGjBi4qnKL1572kPUbC5SBUseBDBg0etICosKNWDoLY9lIIWtBRJREu0Kmm2upTNt4fdDrY2r0nbTBL7/U5NZub9Z/rm4703TeogSdjs3bt38Hq9dpeVKpdKpeDxeGyt%2BZut1f5XW1sL4L8Ldrlc5TgFqSKZTAZer9e6b%2BxUloA4HA4AgMvlUkCqxO9//Fn0McM97at6DnP3jZ1qbK8oUkUUEBEDBUTEQAERMSjLIl3KazkL7rVKI4iIgQIiYqCAiBgoICIGCoiIgQIiYqDHvFIylfD5rZXSCCJioICIGCggIgYKiIiBAiJioICIGCggIgYKiIiBAiJioICIGCggIgYKiIiBAiJioICIGCggIgYKiIiBAiJioICIGPwSX7n9Fb7aKZVJI4iIgQIiYqCAiBhU3BpE/3lcKolGEBEDBUTEoOKmWGudppiVRSOIiIECImKgKVYJabpU/TSCiBhoBCmCRoS1RyOIiMGaHUE0GkghyhIQkgCATCbz07Z//v7L7tORCrLYPTH33tx9Y6eyBGR6ehoA4PV6y1FeKlhdb/5t09PTqKurs%2B9kADhYhljmcjm8f/8etbW1cDgcBR%2BXyWTg9XqRSqXgcrlKeIZSKeb6/NWrV9ixYwdqauxdNpdlBKmpqYHH41n28S6XSwFZY9xut%2B3hAPQUS8RIARExqKqAOJ1OxONxOJ3Ocp%2BK2KTcfV6WRbpItaiqEUTEbgqIiEHJAvL9%2B3ccO3YMgUAAkUgE7e3tePv2LQAgnU6jvb0dfr8fwWAQT58%2BtY5LJBLW8%2B779%2B/Pa/PQoUNoampCJBJBJBLB5cuX89Y31SimHSlcKfp8aGgI%2B/btQygUQiQSwcDAQN76MzMzOHXqFHw%2BHwKBAO7cuWNtO336NDwej9Xn3d3dhV0US%2BTbt2988OABc7kcSbKvr49tbW0kyTNnzjAej5MkBwcH2djYyNnZWZLk8%2BfPOT4%2BzoMHD/LevXvz2lzsvXxMNYppRwq32n2ey%2BXodrs5MDBAkhwbG6PH4%2BHMzMyi9c%2BfP89YLEaSnJiYYENDAz9//kySjMVi7OvrK/qaShaQhYaGhtjc3EyS3LRpE9PptLVt9%2B7dfPz48bz9VxoQUw0FxB4r7fOPHz9yw4YN8/YJBoPs7%2B9ftF5LSwsHBwet18ePH%2BeNGzdILj8gtq1Brly5gs7OTkxNTSGXy2HLli3Wtu3btyOZTBbUTnd3N3bt2oWTJ09iYmJi0X0KqVFIO7IyK%2B3zzZs3o6GhAf39/QCAFy9e4PXr19a0baFkMolt27blrXHp0iWEQiF0dHRgZGSkoGuwJSCJRAJv3rxBT08PAPz0%2BSsW%2BKT55s2bGBsbw%2BjoKA4cOICOjo68%2B5pqFNOOLM9q9fndu3dx/fp1tLa24urVq9i/fz/WrVuXd/8f6/xYo6enB%2BPj4xgdHUVXVxeOHj2KbDa79AkUPeYU6eLFi4xGo/zy5Yv13saNG5c1xVrI6XTy06dPfPjwIcPhMMPhMC9cuFBwjYXtyOooZZ/v3LmTjx494suXL60%2BP3v2LEnzFGuhQCDA4eHhJa%2BlpAHp7e1la2urtVCaE4vF5i3YvF6vtWCbs/CXNTs7y8nJSev17du32djYmLd2vhrFtiPFWc0%2BJ8kPHz5YP1%2B7do3RaNR6CLBQPB6ft0jfunUrp6amSJKpVMra79mzZ6yvr%2BfXr1%2BXvJ6SBSSVShEAm5qarKTv2bOHJDk5Ocm2tjb6fD62tLTwyZMn1nGJRIJut5vr169nfX093W430%2Bk0s9kso9Eog8EgQ6EQDx8%2BzJGRkbz189Uoth0p3Gr3OUmeO3eOfr%2BfPp%2BPnZ2dTCaTeetns1meOHGCzc3N9Pv9vHXrlrXtyJEjDAaDDIfD3Lt3r/VkbCn6qImIgf6SLmKggIgYKCAiBgqIiIECImKggIgYKCAiBgqIiMG/GFBIcMx3cyMAAAAASUVORK5CYII%3D\">\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-3755072596983024755,#minihistogram-3755072596983024755\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-3755072596983024755\">\n",
       "    <img 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wXx75FmJiYqGPHjqlOnToKDQ1VQECA1/7c3FwfVQYAAHBljg1Yo0aN8nUJAAAAxeLYgNWrVy9flwAAAFAsjr0HS5K%2B%2BeYbDR8%2BXImJiZ63BFesWKHdu3f7uDIAAIDLc2zAWrdune666y6tWbNGH3zwgY4fPy5J2rZtm1555RUfVwcAAHB5jg1Yf/vb3zR8%2BHCtXr3a6y%2B3t27dWps2bfJhZQAAAFfm2ID15Zdf6oknnigyHhYWpsOHD/ugIgAAgGvj2IBVpUoV5eTkFBnfvn27br31Vh9UBAAAcG0cG7C6du2qF198UYcPH/b8RffNmzdryJAheuqpp3xcHQAAwOU5NmClpKQoIiJCtWrV0vHjx9WoUSM1b95c9913n15%2B%2BWVflwcAAHBZjv07WIGBgVqwYIH27t2rbdu26ezZs2rSpIkaNGjg69IAAACuyLEB67z69eurfv36vi4DAADgmjk2YD377LNX3D916tRSqgQAAOD6ODZgZWdnez0%2Bffq0du7cqWPHjumhhx7yUVUAAABX59iA9dFHHxUZO3PmjP7yl7%2BoYcOGPqgIAADg2jj2U4SX4u/vryFDhmjMmDG%2BLgUAAOCyylTAkqT9%2B/fr9OnTvi4DAADgshz7FuELL7zg9dgYo%2BzsbC1dulTdu3f3UVUAAABX59iAtXHjRq/Ht9xyi2rWrKlRo0YpKSnJR1UBAABcnWMD1rp163xdAgAAQLGUuXuwAAAAnM6xK1j33Xef50uer%2Bbzzz8v4WoAAACunWMD1m9%2B8xu9/fbbql%2B/vuLj4yVJmzZt0p49e9S7d28FBQX5uEIAAIBLc2zA%2Bumnn9SvXz%2BlpKR4jQ8bNkzff/%2B9pk%2Bf7qPKAAAArsyx92B98MEH%2BvOf/1xkvGfPnlq4cKEPKgIAALg2jg1YQUFB2rBhQ5HxDRs28PYgAABwNMe%2BRThw4ED16dNHGRkZatasmaRz92BNmzZNL730ko%2BrAwAAuDzHBqxhw4YpOjpa//Ef/6F3331XktSwYUNNmzZN3bp183F1AAAAl%2BfYtwglqVu3btq8ebPy8/OVn5%2BvzZs331C4GjlypFwul5KTkz1jBQUFGjBggGrUqKFKlSqpY8eOOnTokNfzMjMz9dhjj6lSpUqqUaOGBg4cqFOnThW7DgAAUL45OmDl5%2Bdr5syZeuWVV3T06FFJ0hdffKHs7OzrPtaWLVs0depU/frXv/YaT05O1pIlSzR//nytX79ex48fV4cOHVRYWChJKiwsVPv27XXixAmtX79e8%2BfP16JFizR48OAbbxAAAJRLjn2LcMeOHXr44YdVsWJFZWVlqWfPnqpatao%2B%2BOADHTp0SLNmzbrmYx0/flzdu3fXtGnT9O///u%2Be8by8PL3zzjuaPXu2Hn74YUnSnDlzFBUVpZUrV6pt27ZasWKFdu3apaysLEVGRkqSxo0bp549e2rEiBEKDQ212zgAACjzHLuCNWjQIHXr1k1ff/21KlSo4Blv37691q5de13H6tevn9q3b%2B8JUeelp6fr9OnTSkhI8IxFRkYqJibG8wnGjRs3KiYmxhOuJKlt27YqKChQenp6cVoDAADlnGNXsLZs2aIpU6YU%2BbqcW2%2B99breIpw/f77S09O1devWIvtycnIUGBioqlWreo2Hh4crJyfHMyc8PNxrf9WqVRUYGOiZc7GCggIVFBR4Hufn519zvQAAoOxz7ApWYGCgjh8/XmR83759qlGjxjUdIysrS88995zmzp3rtQp2NcYYr2B3qe9EvHjOhUaOHCm32%2B3ZoqKirvm1AQBA2efYgNWxY0f927/9m86cOSPpXMj59ttv9eKLL6pTp07XdIz09HTl5uYqNjZW/v7%2B8vf315o1a/TGG2/I399f4eHhOnXqlOcG%2BvNyc3M9q1YRERFFVqqOHj2q06dPF1nZOm/o0KHKy8vzbFlZWdfbPgAAKMMcG7DGjRun7777ThERETp58qRat26t22%2B/XRUqVCjy/YSX06ZNG/3P//yPtm/f7tni4uLUvXt3z38HBAQoLS3N85zs7Gzt2LFDzZs3lyTFx8drx44dXm9LrlixQkFBQYqNjb3k6wYFBSk0NNRrAwAANw/H3oPldru1YcMGpaWladu2bTp79qyaNGmitm3bXvatuYuFhIQoJibGa6xSpUqqXr26Z7xXr14aPHiwqlevrmrVqmnIkCG6%2B%2B67PTfEJyQkqFGjRkpMTNSYMWP0448/asiQIUpKSiI4AQCAS3JkwDp9%2BrR%2B%2B9vfavLkyUpISPD6lJ9tEyZMkL%2B/vzp37qyTJ0%2BqTZs2mjlzpvz8/CRJfn5%2BWrZsmfr27asWLVooODhY3bp109ixY0usJgAAULa5jDHG10VcSo0aNbRp0yb96le/8nUpNyw/P19ut1t5eXmsegHABeKGpfq6BDjE1hHtrB/Tl79/HXsP1lNPPaUZM2b4ugwAAIDr5si3CM%2BbNGmSVq5cqbi4OFWqVMlr3%2BjRo31UFQAAwJU5NmClp6d7vjfwyy%2B/9Np3rTe5AwAA%2BILjAtb%2B/fsVHR2tdevW%2BboUAACAYnHcPVj16tXT4cOHPY%2B7dOmi77//3ocVAQAAXB/HBayLP9T48ccf68SJEz6qBgAA4Po5LmABAACUdY4LWC6Xq8hN7NzUDgAAyhLH3eRujFHPnj0VFBQkSfrll1/Up0%2BfIn%2BmYfHixb4oDwAA4KocF7B69Ojh9fipp57yUSUAAADF47iAxV9vBwAAZZ3j7sECAAAo6whYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAs8/d1Abh5xA1L9XUJ12XriHa%2BLgEAUEaxggUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADL/H1dQEkaOXKkFi9erK%2B%2B%2BkrBwcFq3ry5Xn/9dd15552eOQUFBRoyZIjmzZunkydPqk2bNpo8ebJq167tmZOZmal%2B/frp008/VXBwsLp166axY8cqMDDQF215iRuW6usSAADARcr1CtaaNWvUr18/bdq0SWlpaTpz5owSEhJ04sQJz5zk5GQtWbJE8%2BfP1/r163X8%2BHF16NBBhYWFkqTCwkK1b99eJ06c0Pr16zV//nwtWrRIgwcP9lVbAADA4cr1ClZqqvfqzowZMxQWFqb09HQ99NBDysvL0zvvvKPZs2fr4YcfliTNmTNHUVFRWrlypdq2basVK1Zo165dysrKUmRkpCRp3Lhx6tmzp0aMGKHQ0NBS7wsAADhbuV7BulheXp4kqVq1apKk9PR0nT59WgkJCZ45kZGRiomJ0YYNGyRJGzduVExMjCdcSVLbtm1VUFCg9PT0S75OQUGB8vPzvTYAAHDzuGkCljFGzz//vB544AHFxMRIknJychQYGKiqVat6zQ0PD1dOTo5nTnh4uNf%2BqlWrKjAw0DPnYiNHjpTb7fZsUVFRJdARAABwqpsmYPXv319ffvml5s2bd9W5xhi5XC7P4wv/%2B3JzLjR06FDl5eV5tqysrOIXDgAAypybImANGDBAS5cu1erVq70%2BHRgREaFTp07p6NGjXvNzc3M9q1YRERFFVqqOHj2q06dPF1nZOi8oKEihoaFeGwAAuHmU64BljFH//v21ePFiffrpp4qOjvbaHxsbq4CAAKWlpXnGsrOztWPHDjVv3lySFB8frx07dig7O9szZ8WKFQoKClJsbGzpNAIAAMqUcv0pwn79%2Bun999/Xf/3XfykkJMSzEuV2uxUcHCy3261evXpp8ODBql69uqpVq6YhQ4bo7rvv9nyqMCEhQY0aNVJiYqLGjBmjH3/8UUOGDFFSUhIrUwAA4JLKdcCaMmWKJKlVq1Ze4zNmzFDPnj0lSRMmTJC/v786d%2B7s%2BUOjM2fOlJ%2BfnyTJz89Py5YtU9%2B%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%2B7oAwKnihqX6ugQAQBnFChYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIB1jSZPnqzo6GhVqFBBsbGxWrduna9LAgAADkXAugYLFixQcnKyhg0bpoyMDD344IN69NFHlZmZ6evSAACAAxGwrsH48ePVq1cvPfPMM2rYsKEmTpyoqKgoTZkyxdelAQAAB%2BIvuV/FqVOnlJ6erhdffNFrPCEhQRs2bLjkcwoKClRQUOB5nJeXJ0nKz8%2B3Xl9hwQnrxwQAoLSVxO/I88c0xlg/9tUQsK7iyJEjKiwsVHh4uNd4eHi4cnJyLvmckSNH6tVXXy0yHhUVVSI1AgBQ1rnHldyxjx07JrfbXXIvcAkErGvkcrm8HhtjioydN3ToUD3//POex2fPntWPP/6o6tWrX/Y5Tpefn6%2BoqChlZWUpNDTU1%2BVYQ19lS3nsqzz2JJXPvspjT1L57Ot8T5mZmXK5XIqMjCz1GghYV1GjRg35%2BfkVWa3Kzc0tsqp1XlBQkIKCgrzGqlSpUmI1lqbQ0NBycwFeiL7KlvLYV3nsSSqffZXHnqTy2Zfb7fZZT9zkfhWBgYGKjY1VWlqa13haWpqaN2/uo6oAAICTsYJ1DZ5//nklJiYqLi5O8fHxmjp1qjIzM9WnTx9flwYAABzIb/jw4cN9XYTTxcTEqHr16kpJSdHYsWN18uRJzZ49W40bN/Z1aaXKz89PrVq1kr9/%2Bcrl9FW2lMe%2BymNPUvnsqzz2JJXPvnzdk8v44rOLAAAA5Rj3YAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAlYZNnLkSN13330KCQlRWFiYfve732nPnj1ecwoKCjRgwADVqFFDlSpVUseOHXXo0CGvOc8995xiY2MVFBSke%2B65p8jrfPPNN3K5XEW21NTUq9a4aNEiNWrUSEFBQWrUqJGWLFnitb9nz55FjhsVFeXovnbu3Kk//OEPqlu3rlwulyZOnFhkztq1a/XYY48pMjJSLpdL//znP0vtfEnnvmlg7Nixql%2B/voKCghQVFaWUlJQr9iU5%2B3wVt6/inK/ExMRS6Wn48OGX/BmsVKnSFXuSpMmTJys6OloVKlRQbGys1q1b57W/VatWRY7761//2tF9Xeq6udjixYvVtm1b1ahRQy6XSwMGDCi1n7/ly5erWbNmCgkJUc2aNfWHP/xBBw4cuGJPkvOvq%2BL05eTrSpI%2B%2BOAD3XPPPapYsaLq1KmjMWPGXLGf84pzrpo1a3bJYxGwyrA1a9aoX79%2B2rRpk9LS0nTmzBklJCToxIn//wXQycnJWrJkiebPn6/169fr%2BPHj6tChgwoLCz1zjDF6%2Bumn1aVLlyu%2B3sqVK5Wdne3ZWrdufcX5GzduVJcuXZSYmKgvvvhCiYmJ6ty5szZv3uw1r127dl7HrV%2B/vqP7%2Bvnnn3X77bdr1KhRioiIuOScEydOqHHjxpo0aZJnrDTP13PPPafp06dr7Nix%2Buqrr/TRRx/p/vvvv2JfZeF8Faev4pyvnTt3lkpPQ4YM8fp/mZ2drUaNGunJJ5%2B8Yk%2BSolqWAAAKKklEQVQLFixQcnKyhg0bpoyMDD344IN69NFHlZmZ6TUvKSnJ69hhYWGO7utS182l5rRo0UKjRo2SJG3btq1Uetq/f78ef/xxtW7dWtu3b9fy5ct15MgRderU6Yo9Of26Km5fTr6uPvnkE3Xv3l19%2BvTRjh07NHnyZI0fP/6KP1dS8c/Vxx9/fOkDGpQbubm5RpJZs2aNMcaYn376yQQEBJj58%2Bd75nz77bfmlltuMampqUWe/49//MM0bty4yPiBAweMJJORkXFd9XTu3Nm0a9fOa6xt27ama9eunsc9evQwjz/%2BeJnq60J16tQxEyZMuOIcSWbJkiVFxkuqr127dhl/f3/z1VdfXVcvTj9fxe3rQsU9XyXV08W2b99uJJm1a9decd79999v%2BvTp4zXWoEED8%2BKLL3oet2zZ0jz33HNXPI7T%2BrrQ5a6b8y53/ZZUTwsXLjT%2B/v6msLDQM7Z06VLjcrnMqVOnLlun06%2Br4vZ1IaddV3/84x/NE0884TU2YcIEU7t2bXP27NnL1mjrXJ3HClY5kpeXJ0mqVq2aJCk9PV2nT59WQkKCZ05kZKRiYmK0YcOG6z5%2Bx44dFRYWphYtWujDDz%2B86vyNGzd6vbYktW3btshrf/bZZwoLC1P9%2BvWVlJSk3NxcR/dlS0n19dFHH%2Bn222/Xv/71L0VHR6tu3bp65pln9OOPP17xeU4/X8Xty4aS/hk8b/r06apfv74efPDBy845deqU0tPTi5yrhISEIq89d%2B5c1ahRQ3fddZeGDBmiY8eOObYvW0qqp7i4OPn5%2BWnGjBkqLCxUXl6eZs%2BerYSEBAUEBFz2eU6/rorblw0l1VNBQYEqVKjgNRYcHKxDhw7p4MGDl32erXN1HgGrnDDG6Pnnn9cDDzygmJgYSVJOTo4CAwNVtWpVr7nh4eFFvrz6SipXrqzx48frww8/1Mcff6w2bdqoS5cumjNnzhWfl5OTU%2BQLsS9%2B7UcffVRz587Vp59%2BqnHjxmnLli1q3bq1CgoKHNuXDSXZ1/79%2B3Xw4EEtXLhQ7733nmbOnKn09HQ98cQTV3ye089Xcfu6USXZ04UKCgo0d%2B5c9erV64rzjhw5osLCwqueq%2B7du2vevHn67LPP9PLLL2vRokVeb/s4rS8bSrKnunXrasWKFXrppZcUFBSkKlWq6NChQ5o/f/4Vn%2Bf066q4fd2okuypbdu2Wrx4sVatWqWzZ89q7969nnvEsrOzL/s8G%2BfqQgSscqJ///768ssvNW/evKvONcbI5XJd87Fr1KihQYMG6f7771dcXJxee%2B019e3bV6NHj5YkZWZmqnLlyp7twpuOL36di1%2B7S5cuat%2B%2BvWJiYvTYY4/pk08%2B0d69e7Vs2TJH93WjSrKvs2fPqqCgQO%2B9954efPBBtWrVSu%2B8845Wr16tPXv2lNnzdSN93YiS7OlCixcv1rFjx/SnP/3JM7Zu3TqvnubOnevZd7VzlZSUpIcfflgxMTHq2rWrPvzwQ61cuVLbtm1zdF83oiR7ysnJ0TPPPKMePXpoy5YtWrNmjQIDA/XEE0/IGFNmr6sb6etGlGRPSUlJ6t%2B/vzp06KDAwEA1a9ZMXbt2lXTu63NK8lxdqPx86dBNbMCAAVq6dKnWrl2r2rVre8YjIiJ06tQpHT161OtfBLm5uWrevPkNvWazZs00ffp0SeeWcLdv3%2B7Zd365NyIiosi/OnJzc4v8C%2BFCtWrVUp06dbRv3z7H9nWjSrqvWrVqyd/fX/Xr1/eMNWzYUNK50Pib3/ymTJ6v4vZ1I0rzZ3D69Onq0KGD1w3DcXFxXj2Fh4crKChIfn5%2B132umjRpooCAAO3bt08zZsxwXF83qqTP1VtvvaXQ0FDPP8Akac6cOYqKitLmzZuL9FRWrqvi9nUjSronl8ul119/XSkpKcrJyVHNmjW1atUqSedW7KpVq1Yi5%2BpirGCVYcYY9e/fX4sXL9ann36q6Ohor/2xsbEKCAhQWlqaZyw7O1s7duy44SCSkZGhWrVqSZL8/f31q1/9yrOd/2GNj4/3em1JWrFixRVf%2B4cfflBmZqbS0tIc21dxldb5atGihc6cOaOvv/7aM7Z3715JUp06dcrs%2BSpuX8VR2tfWgQMHtHr16iJvowUHB3v1FBISosDAQMXGxhY5V2lpaVd87Z07d%2Br06dNasGCBI/sqrtI6Vz///LP8/Py8xs4/Pnv2bJm9rorbV3GU9nXl5%2BenW2%2B9VYGBgZo3b57i4%2BMVFhZm/VxlZWV5fm9c3DDKqL/85S/G7Xabzz77zGRnZ3u2n3/%2B2TOnT58%2Bpnbt2mblypVm27ZtpnXr1qZx48bmzJkznjn79u0zGRkZpnfv3qZ%2B/fomIyPDZGRkmIKCAmOMMTNnzjRz5841u3btMl999ZUZM2aMCQgIMOPHj79iff/93/9t/Pz8zKhRo8zu3bvNqFGjjL%2B/v9m0aZMxxphjx46ZwYMHmw0bNpgDBw6Y1atXm/j4eFOpUiVH91VQUOA5Vq1atcyQIUNMRkaG2bdvn2fOsWPHPHMkmfHjx5snn3zShIaGlnhfhYWFpkmTJuahhx4y27ZtM1u3bjVNmzY1jzzySJk%2BX8Xtqzjnq3nz5qZy5cpmwYIFJdrTeX//%2B99NZGSk13OvZP78%2BSYgIMC88847ZteuXSY5OdlUqlTJfPPNN8YYY/73f//XvPrqq2bLli3mwIEDZtmyZaZBgwamRo0apXKuitvXpa6bjIwMc/DgQc%2BcH374wWRkZJhly5YZSeaRRx4xlStXNosWLSrRnlatWmVcLpd59dVXzd69e016erpp27atqVOnjtdrXczp11Vx%2B3LydXX48GEzZcoUs3v3bpORkWEGDhxoKlSoYDZv3nzZfm7kXN16660mPz%2B/yPEIWGWYpEtuM2bM8Mw5efKk6d%2B/v6lWrZoJDg42HTp0MJmZmV7Hadmy5SWPc%2BDAAWPMuSDSsGFDU7FiRRMSEmJiY2PN7Nmzr6nGhQsXmjvvvNMEBASYBg0amEWLFnn2/fzzzyYhIcHUrFnTBAQEmNtuu8306NHD8X2d/3j4xVvLli09c1avXn3ZPkq6L2POfbS5U6dOpnLlyiY8PNz07NnT/PDDD2X6fBW3L5vnqyR6KiwsNLVr1zYvvfTSVc/Phd566y1Tp04dExgYaJo0aeL5qLsxxmRmZpqHHnrIVKtWzQQGBpo77rjDDBw40PF9Xe489OjRwzNnxowZPjtX8%2BbNM/fee6%2BpVKmSqVmzpunYsaPZvXv3Vfty%2BnVVnL6cfF0dPnzYNGvWzFSqVMlUrFjRtGnTxhOSSuJcXVzfeS5jjBEAAACs4R4sAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACW/R/ttzZ/OmfboQAAAABJRU5ErkJggg%3D%3D\">\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_Inicio\">Inicio<br/>\n",
       "            <small>Date</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>3388</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>100.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>2015-02-05 13:54:59</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>2019-02-01 11:05:39.957000</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-3339523099522823614\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAABcRJREFUeJzt201oE2kcBvAnoVqsNBWqFsyH0iYVQpqGdvWiogiFHix4UfEgwbNePe0hemhOFsGKBxFFetQWRKV7kOrBg7ZLKR5aUAmaSC0p8ZB0q0vZPHvYzey2Nq/mo5m2Pr9Tk/n4z/DOw3/e6cRBkqixjx8/wuv11rqsbHCpVAoej6emNetqWu1fjY2NAP45YZfLZcchyAaSzWbh9Xqt66aWbAmIw%2BEAALhcLgXEBr/8%2BlvJ2/ze37sGR1KawnVTS86aVxTZQBQQEQMFRMRAARExUEBEDBQQEQNbHvPKxrNRHw1XSh1ExEABETFQQEQMFBARAwVExEABETFQQEQMFBARAwVExEABETFQQEQMFBARAwVExEABETFQQEQM9HsQWTOb4Tck6iAiBgqIiIECImKggIgYKCAiBgqIiIECImKggIgYKCAiBgqIiMG6e9VkM7yeIJvHugtIORQqWSu6xRIxUEBEDBQQEYNNMQfZTMqZT8naUQcRMVAHWUPqBhufOoiIgTpICdQRfj7qICIGP20HUTeQH2FLQEgCALLZ7DfL/vrzj1ofjqwjq10The8K100t2RKQXC4HAPB6vXaUl3WsaaD4slwuh6amptodDAAHbYhlPp/H7OwsGhsbkcvl4PV6kUql4HK5an0oYrNsNvvd8SeJXC6HPXv2wOms7bTZlg7idDrh8XgAAA6HAwDgcrkUkJ/Y98a/1p2jQE%2BxRAwUEBED2wNSX1%2BPWCyG%2Bvp6uw9FbLDex9%2BWSbrIRmF7BxFZzxQQEYOSAvL161ecPHkS7e3tiEQi6O3txfv37wEA6XQavb29CAQCCIVCePHihbVdPB7H/v374XQ68fjx42X7PHbsGFpbWxGJRBCJRHDt2rWi9cutIdWxFuM/MTGBQ4cOIRwOIxKJYGxsrGj9xcVFnD17Fn6/H%2B3t7RgZGbGW3blzBx0dHairq8ONGzeqd9IswZcvX/jkyRPm83mS5ODgIHt6ekiS58%2BfZywWI0mOj4/T5/NxaWmJJPny5Uu%2Be/eOR48e5aNHj5btc7Xviim3hlRHtcc/n8/T7XZzbGyMJDkzM0OPx8PFxcVV61%2B5coXRaJQkmUgk2NLSws%2BfP5Mkp6amOD09zXPnznFwcLBq51xSQFaamJhgW1sbSXL79u1Mp9PWsgMHDvDZs2fL1q80IOXWkLVR6fjPz89z27Zty9YJhUIcHh5etV4wGOT4%2BLj1%2BdSpU7x79%2B6ydaLRaFUDUtEc5Pr16%2Bjr60Mmk0E%2Bn8euXbusZfv27UMymfyh/Vy6dAkdHR04c%2BYMEonEqutUWkOqr9Lx37lzJ1paWjA8PAwAePXqFd68eWPdtq2UTCaxd%2B/ekmpUquyAxONxvH37Fv39/QD%2Be2WkgD/49HhoaAgzMzN4/fo1jhw5ghMnThRdt9waUn3VGv%2BHDx/i9u3b6Orqws2bN3H48GFs2bKl6Pr/r1OL8S8rIFevXsXIyAhGR0fR0NCA5uZmAMD8/Ly1zocPH%2BDz%2Bb67r8IbvQ6HAxcvXkQikUAmk8HTp0%2BtiXt/f39FNaS6qjn%2B4XAYo6OjmJycxL179zA7O4tgMIjp6Wlr/C9cuAAA8Pl8y7pLTca/1HuygYEBdnV1WZOjgmg0umyS5vV6rUlawcp70KWlJc7NzVmfHzx4QJ/PV7R2OTWkuqo5/iT56dMn6%2B9bt26xu7vbegiwUiwWWzZJ3717NzOZzDfHYdskPZVKEQBbW1vZ2dnJzs5OHjx4kCQ5NzfHnp4e%2Bv1%2BBoNBPn/%2B3NouHo/T7XZz69atbG5uptvtZjqd5sLCAru7uxkKhRgOh3n8%2BHFOTU0VrV9ODameao8/SV6%2BfJmBQIB%2Bv599fX1MJpNF6y8sLPD06dNsa2tjIBDg/fv3rWVDQ0N0u91saGjgjh076Ha7OTk5WfE561UTEQP9J13EQAERMVBARAwUEBEDBUTEQAERMVBARAwUEBGDvwHP%2BZFkfxI0gQAAAABJRU5ErkJggg%3D%3D\">\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-3339523099522823614,#minihistogram-3339523099522823614\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-3339523099522823614\">\n",
       "    <img 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7RlClT1LZtWy1ZskSDBg3S8OHD9cYbb0iSSkpKJElxcXEBr4uLi/NvKykpUWxsbK19x8bG%2BvucKDs723%2B9lsfjUUJCwlnVAQAAGpZGTgw6e/bs0/ZxuVz%2Bj/L%2BXTU1NUpJSVFWVpYkqWPHjvriiy80ZcqUgI8fXS5XwOuMMQFtJ24/WZ/jjR49WiNGjPA/r6ioIGQBAHAOcWQF67HHHlNOTk6t9pdfflmPP/64tXFatWqlDh06BLS1b99eO3bskHT0AntJtVaiSktL/ataXq9Xu3fvrrXvsrKyWitfx7jdbsXExAQ8AADAucORgLVgwQJ17ty5Vntqaqrmz59vbZyuXbvWuhB927ZtatOmjSQpMTFRXq9X%2Bfn5/u1VVVVatmyZunTp4p%2BTz%2BcLuCHq2rVr5fP5/H0AAACO58hHhHv27FHTpk1rtcfExGjPnj3WxnnsscfUpUsXZWVl6a677tK6des0depUTZ06VdLRj/4yMzOVlZWltm3bqm3btsrKylKTJk2Unp4u6eiKV%2B/evTVw4EC99tprkqSHH35Yffr00aWXXmptrgAAIHQ4soL1q1/9SkuWLKnVvmTJEiUmJlob55prrtGiRYs0d%2B5cJSUl6a9//asmT56s/v37%2B/s88cQTyszM1ODBg5WSkqLvv/9eeXl5io6O9vd56623dMUVVygtLU1paWn69a9/rTfffNPaPAEAQGhxGVu3TP8Fpk2bpszMTI0aNUo9evSQJH388ccaP368JkyYoEGDBgV7SnWqoqJCHo9HPp%2BP67EA4DgpY3KdnkJI2/Bcb6en4Cgn338d%2BYhw4MCB%2Bumnn5SVlaWnn35aktS6dWv9z//8jx544AEnpgQAAGCNIwFLkoYNG6Zhw4apuLhYkZGRAT9fAwAA0JA5FrCOadWqldNTAAAAsMqRi9zLysp0//3366KLLlLjxo0VERER8AAAAGjIHFnBGjBggL7%2B%2Bmv98Y9/VKtWrU55R3QAAICGyJGAtXz5ci1fvlwdO3Z0YngAAIA65chHhK1bt2bVCgAAhCxHAtaLL76o0aNHa9euXU4MDwAAUKcc%2BYgwIyND%2B/btU5s2bRQTE6Pw8PCA7aWlpU5MCwAAwApHAta4ceOcGBYAACAoHAlYDz74oBPDAgAABIUj12BJ0rfffquxY8cqIyPD/5FgXl6etmzZ4tSUAAAArHAkYK1YsUKXX365li1bpnfeeUf79%2B%2BXJG3cuFFPPfWUE1MCAACwxpGA9ac//Uljx47VJ598EnDn9h49emjNmjVOTAkAAMAaRwLWZ599pjvuuKNWe2xsrMrKyhyYEQAAgD2OBKwLLrhAJSUltdqLiop04YUXOjAjAAAAexwJWPfcc49GjRqlsrIy/x3d165dq5EjR%2Bree%2B91YkoAAADWOBKwsrKy5PV61apVK%2B3fv18dOnRQly5ddM011%2Bgvf/mLE1MCAACwxpH7YEVERGj%2B/Pnatm2bNm7cqJqaGl199dW67LLLnJgOAACAVY4ErGPatWundu3aOTkFAAAA6xwJWA8//PDPbp86dWqQZgIAAGCfIwGruLg44Pnhw4f1xRdfaN%2B%2BfbrhhhucmBIAAIA1jgSs999/v1bbkSNH9Ic//EHt27d3YEYAAAD2uIwxxulJHLN161Z179691gpXQ1dRUSGPxyOfz6eYmBinpwMA9UbKmFynp4B6YsNzva3v08n3X8d%2B7PlkvvnmGx0%2BfNjpaQAAAJwVRz4ifOKJJwKeG2NUXFysxYsXq3///k5MCQAAwBpHAtbq1asDnp933nlq2bKlxo0bp4EDBzoxJQAAAGscCVgrVqxwYlgAAICgqFfXYAEAAIQCR1awrrnmGv%2BPPJ/OunXr6ng2AAAAdjkSsG688Ua99tprateunVJTUyVJa9as0datW/XII4/I7XY7MS0AAAArHAlYe/fu1ZAhQ5SVlRXQPmbMGO3evVvTp093YloAAABWOHIN1jvvvKP777%2B/VvuAAQO0YMECB2YEAABgjyMBy%2B12a9WqVbXaV61axceDAACgwXPkI8Lhw4dr0KBBKiwsVOfOnSUdvQZr2rRpevLJJ52YEgAAgDWOBKwxY8YoMTFR//3f/63XX39dktS%2BfXtNmzZN6enpTkwJAADAGkcCliSlp6cTpgAAQEhy7EajFRUVmjVrlp566imVl5dLkj799FMVFxc7NSUAAAArHFnB2rRpk2666SY1adJEO3fu1IABA9S0aVO988472rVrl2bPnu3EtAAAAKxwZAXrscceU3p6ur7%2B%2Bms1btzY337rrbdq%2BfLlTkwJAADAGkdWsNavX68pU6bU%2BrmcCy%2B8kI8IAQBAg%2BfIClZERIT2799fq/2rr75SixYtHJgRAACAPY4ErL59%2B%2Bqvf/2rjhw5IklyuVz6/vvvNWrUKPXr18%2BJKQEAAFjjSMCaOHGifvjhB3m9Xh06dEg9evTQJZdcosaNG9f6fUIAAICGxpFrsDwej1atWqX8/Hxt3LhRNTU1uvrqq9WrV69a12UBAAA0NEEPWIcPH9ZvfvMbvfLKK0pLS1NaWlqwpwAAAFCngv4RYXh4uAoLC1mpAgAAIcuRa7DuvfdezZw504mhAQAA6pxjv0WYk5OjpUuXKiUlRVFRUQHbxo8f79CsAAAAzp4jAaugoEC//vWvJUmfffZZwDY%2BOgQAAA1dUAPWN998o8TERK1YsSKYwwIAAARVUK/Batu2rcrKyvzP7777bu3evTto42dnZ8vlcikzM9PfVllZqWHDhqlFixaKiopS3759tWvXroDX7dixQ7fddpuioqLUokULDR8%2BXFVVVUGbNwAAaFiCGrCMMQHP//73v%2BvAgQNBGXv9%2BvWaOnWq/6PJYzIzM7Vo0SLNmzdPK1eu1P79%2B9WnTx9VV1dLkqqrq3XrrbfqwIEDWrlypebNm6f33ntPjz/%2BeFDmDQAAGh5HvkUYbPv371f//v01bdo0NW3a1N/u8/k0Y8YMTZw4UTfddJM6duyoOXPm6PPPP9fSpUslSXl5edq8ebPmzJmjjh076qabbtLEiRM1bdo0VVRUOFUSAACox4IasFwuV62L2INxUfuQIUN066236qabbgpoLygo0OHDhwNudhofH6%2BkpCStWrVKkrR69WolJSUpPj7e36dXr16qrKxUQUHBScerrKxURUVFwAMAAJw7gnqRuzFGAwYMkNvtliT99NNPGjRoUK3bNCxcuNDamPPmzVNBQYE2bNhQa1tJSYkiIiICVrUkKS4uTiUlJf4%2BcXFxAdubNm2qiIgIf58TZWdn65lnnrFUAQAAaGiCGrDuu%2B%2B%2BgOf33ntvnY63c%2BdOPfroo8rLy1Pjxo3P%2BHXGmICVtZOtsp3Y53ijR4/WiBEj/M8rKiqUkJDwC2YOAAAasqAGrGDfvb2goEClpaVKTk72t1VXV2v58uXKycnRkiVLVFVVpfLy8oBVrNLSUnXp0kWS5PV6tXbt2oD9lpeX6/Dhw7VWto5xu93%2BVToAAHDuCemL3Hv27KnPP/9cRUVF/kdKSor69%2B/v/3N4eLjy8/P9rykuLtamTZv8ASs1NVWbNm1ScXGxv09eXp7cbndAcAMAADjGsZ/KCYbo6GglJSUFtEVFRal58%2Bb%2B9gcffFCPP/64mjdvrmbNmmnkyJG64oor/BfEp6WlqUOHDsrIyNALL7ygH3/8USNHjtTAgQMVExMT9JoAAED9F9IB60y8%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%2Bu1vf6utW7cG9KmsrNSwYcPUokULRUVFqW/fvtq1a1dAnx07dui2225TVFSUWrRooeHDh6uqqiqYpQAAgAYkpAPWsmXLNGTIEK1Zs0b5%2Bfk6cuSI0tLSdODAAX%2BfzMxMLVq0SPPmzdPKlSu1f/9%2B9enTR9XV1ZKk6upq3XrrrTpw4IBWrlypefPm6b333tPjjz/uVFkAAKCeC%2Bk7uefmBt45fObMmYqNjVVBQYFuuOEG%2BXw%2BzZgxQ2%2B%2B%2BaZuuukmSdKcOXOUkJCgpUuXqlevXsrLy9PmzZu1c%2BdOxcfHS5ImTpyoAQMG6LnnnlNMTEzQ6wIAAPVbSK9gncjn80mSmjVrJkkqKCjQ4cOHlZaW5u8THx%2BvpKQkrVq1SpK0evVqJSUl%2BcOVJPXq1UuVlZUqKCgI4uwBAEBDEdIrWMczxmjEiBG67rrrlJSUJEkqKSlRRESEmjZtGtA3Li5OJSUl/j5xcXEB25s2baqIiAh/nxNVVlaqsrLS/7yiosJmKQAAoJ47Z1awhg4dqs8%2B%2B0xz5849bV9jjFwul//58X8%2BVZ/jZWdny%2BPx%2BB8JCQn//sQBAECDc04ErGHDhmnx4sX65JNP1Lp1a3%2B71%2BtVVVWVysvLA/qXlpb6V628Xm%2Btlary8nIdPny41srWMaNHj5bP5/M/du7cabkiAABQn4V0wDLGaOjQoVq4cKH%2B8Y9/KDExMWB7cnKywsPDlZ%2Bf728rLi7Wpk2b1KVLF0lSamqqNm3apOLiYn%2BfvLw8ud1uJScnn3Rct9utmJiYgAcAADh3hPQ1WEOGDNHbb7%2Bt//3f/1V0dLR/Jcrj8SgyMlIej0cPPvigHn/8cTVv3lzNmjXTyJEjdcUVV/i/VZiWlqYOHTooIyNDL7zwgn788UeNHDlSAwcOJDgBAICTCumANWXKFElS9%2B7dA9pnzpypAQMGSJJefPFFNWrUSHfddZcOHTqknj17atasWQoLC5MkhYWF6cMPP9TgwYPVtWtXRUZGKj09XRMmTAhmKQAAoAEJ6YBljDltn8aNG%2Bull17SSy%2B9dMo%2BF110kT744AObUwMAACEspK/BAgAAcAIBCwAAwDICFgAAgGUELAAAAMtC%2BiJ3ADgXpYzJPX0nAHWKFSwAAADLWMECgNNgRQjAL8UKFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABY1sjpCQA496SMyXV6CgBQp1jBAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLGjk9AQB2pIzJdXoKAID/hxUsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMu4kztwCtwZHQDw72IFCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgHWGXnnlFSUmJqpx48ZKTk7WihUrnJ4SAACopwhYZ2D%2B/PnKzMzUmDFjVFhYqOuvv1633HKLduzY4fTUAABAPUTAOgOTJk3Sgw8%2BqIceekjt27fX5MmTlZCQoClTpjg9NQAAUA/xUzmnUVVVpYKCAo0aNSqgPS0tTatWrTrpayorK1VZWel/7vP5JEkVFRXW51ddecD6PgEACLa6eI88tk9jjPV9nw4B6zT27Nmj6upqxcXFBbTHxcWppKTkpK/Jzs7WM888U6s9ISGhTuYIAEBD55lYd/vet2%2BfPB5P3Q1wEgSsM%2BRyuQKeG2NqtR0zevRojRgxwv%2B8pqZGP/74o5o3b37K1xxTUVGhhIQE7dy5UzExMWc/8XoiVOuSqK2hCtXaQrUuidoaKidrM8Zo3759io%2BPD%2Bq4EgHrtFq0aKGwsLB8CR4hAAAMOklEQVRaq1WlpaW1VrWOcbvdcrvdAW0XXHDBLxo3JiYm5E4yKXTrkqitoQrV2kK1LonaGiqnagv2ytUxXOR%2BGhEREUpOTlZ%2Bfn5Ae35%2Bvrp06eLQrAAAQH3GCtYZGDFihDIyMpSSkqLU1FRNnTpVO3bs0KBBg5yeGgAAqIfCxo4dO9bpSdR3SUlJat68ubKysjRhwgQdOnRIb775pq688so6GS8sLEzdu3dXo0ahlX9DtS6J2hqqUK0tVOuSqK2hCuXaTsVlnPjuIgAAQAjjGiwAAADLCFgAAACWEbAAAAAsI2ABAABYRsA6A9nZ2brmmmsUHR2t2NhY/fa3v9XWrVsD%2BlRWVmrYsGFq0aKFoqKi1LdvX%2B3atSugz6OPPqrk5GS53W5dddVVtcb59ttv5XK5aj1yc3NPO8f33ntPHTp0kNvtVocOHbRo0aKA7QsXLlSvXr3UokULuVwuFRUVhUxtJ9uvy%2BXSLbfcEpTapKN3C54wYYLatWsnt9uthIQEZWVlnXVtJztuwTpmdVmX08ds7NixJx0/KirqtLW98sorSkxMVOPGjZWcnKwVK1YEbJ86daq6d%2B%2BumJgYuVwu7d27V1LwzrW6qu1U57DL5VJ6enrQ/k0uWbJEnTt3VnR0tFq2bKn/%2Bq//0vbt209bW30/1%2BqqLqfPNUl65513dNVVV6lJkyZq06aNXnjhhdPWdSa1nep9rb4gYJ2BZcuWaciQIVqzZo3y8/N15MgRpaWl6cCB//%2BHljMzM7Vo0SLNmzdPK1eu1P79%2B9WnTx9VV1f7%2Bxhj9MADD%2Bjuu%2B/%2B2fGWLl2q4uJi/6NHjx4/23/16tW6%2B%2B67lZGRoU8//VQZGRm66667tHbtWn%2BfAwcOqGvXrho3blzI1Xb8/oqLi/X666/L5XLpwIEDQavt0Ucf1fTp0zVhwgR9%2BeWXev/993XttdeedW0nO27BPGZ1VZfTx2zkyJG15tChQwfdeeedP1vb/PnzlZmZqTFjxqiwsFDXX3%2B9brnlFu3YscPf5%2BDBg%2Brdu7eefPLJgNcG67jVVW0JCQm19vvMM88oKipKZWVlQantm2%2B%2B0e23364ePXqoqKhIS5Ys0Z49e9SvX7%2Bfra2%2Bn2t1WZfT59pHH32k/v37a9CgQdq0aZNeeeUVTZo0STk5OWdd26ne1%2BoNg1%2BstLTUSDLLli0zxhizd%2B9eEx4ebubNm%2Bfv8/3335vzzjvP5Obm1nr9008/ba688spa7du3bzeSTGFh4S%2Baz1133WV69%2B4d0NarVy9zzz33/OIxGnJtx9x%2B%2B%2B2mR48etdrrqrbNmzebRo0amS%2B//PKM6zLG3nFryHUdE%2BxjdqKioiIjySxfvvxn%2B1177bVm0KBBAW2XXXaZGTVqVK2%2Bn3zyiZFkysvLT7qvhlzbMVdddZV54IEHarXXVW0LFiwwjRo1MtXV1f62xYsXG5fLZaqqqk45z/p%2BrgWjrmOCfa797ne/M3fccUdA24svvmhat25tampqrNT2776/1DVWsP4NPp9PktSsWTNJUkFBgQ4fPqy0tDR/n/j4eCUlJWnVqlW/eP99%2B/ZVbGysunbtqnffffe0/VevXh0wtiT16tXr3xq7ode2e/duffjhh3rwwQdrbaur2t5//31dcskl%2BuCDD5SYmKiLL75YDz30kH788UertZ1KQ6/LiWN2ounTp6tdu3a6/vrrT9mnqqpKBQUFtWpLS0url%2BfaMXVVW0FBgYqKioJ63FJSUhQWFqaZM2equrpaPp9Pb775ptLS0hQeHn7K19X3cy1YdTlxrlVWVqpx48YBbZGRkdq1a5e%2B%2B%2B67U77O5vuaUwhYv5AxRiNGjNB1112npKQkSVJJSYkiIiLUtGnTgL5xcXG1fiT655x//vmaNGmS3n33Xf39739Xz549dffdd2vOnDk/%2B7qSkpJaPzz9S8eWQqO22bNnKzo6utbSel3W9s033%2Bi7777TggUL9MYbb2jWrFkqKCjQHXfcYbW2kwmFupw4ZserrKzUW2%2B9ddI3nePt2bNH1dXV9f5cO15d1jZjxgy1b9%2B%2B1m%2By1mVtF198sfLy8vTkk0/K7Xbrggsu0K5duzRv3ryffV19P9eCVZcT51qvXr20cOFCffzxx6qpqdG2bds0efJkSUc/vrRVW31EwPqFhg4dqs8%2B%2B0xz5849bV9jjFwu1xnvu0WLFnrsscd07bXXKiUlRc8%2B%2B6wGDx6s8ePHS5J27Nih888/3/84/mLjE8f5pWNLoVHb66%2B/rv79%2B9f6H1Nd1lZTU6PKykq98cYbuv7669W9e3fNmDFDn3zyibZu3Vqnxy0U6nLimB1v4cKF2rdvn37/%2B9/721asWBFQ21tvveXfVt/PtePVVW2HDh3S22%2B/fdLgVpe1lZSU6KGHHtJ9992n9evXa9myZYqIiNAdd9whY0yDPdeCVZcT59rAgQM1dOhQ9enTRxEREercubPuueceSUd/Pqeu39ecdO78KJAFw4YN0%2BLFi7V8%2BXK1bt3a3%2B71elVVVaXy8vKAtF9aWlrrf3e/VOfOnTV9%2BnRJR5dnj/%2BWxLGlXK/XWyvVl5aW1kr/PycUaluxYoW2bt2q%2BfPnB7W2Vq1aqVGjRmrXrp2/rX379pKOBscbb7yxTo5bKNTl1DE73vTp09WnTx95vV5/W0pKSkBtcXFxcrvdCgsLa1DnWl3V9u677%2BrgwYMBwS0Ytb388suKiYnx/8dMkubMmaOEhAStXbu2Vm0N5VwLRl1OnWsul0vPP/%2B8srKyVFJSopYtW%2Brjjz%2BWdHTlrlmzZnX2vuY0VrDOgDFGQ4cO1cKFC/WPf/xDiYmJAduTk5MVHh6u/Px8f1txcbE2bdp01iGksLBQrVq1kiQ1atRI//Ef/%2BF/HPuHmJqaGjC2JOXl5Z3R2KFU24wZM5ScnOz/Ee5g1da1a1cdOXJEX3/9tb9t27ZtkqQ2bdpYP26hVJdTx%2ByY7du365NPPqm1EhMZGRlQW3R0tCIiIpScnFyrtvz8/Hp5rtVlbTNmzFDfvn3VsmXLoNZ28OBBhYWFBbQde15TU9Ngz7Vg1OX0uRYWFqYLL7xQERERmjt3rlJTUxUbG1sn72v1Rl1eQR8q/vCHPxiPx2P%2B%2Bc9/muLiYv/j4MGD/j6DBg0yrVu3NkuXLjUbN240PXr0MFdeeaU5cuSIv89XX31lCgsLzSOPPGLatWtnCgsLTWFhoamsrDTGGDNr1izz1ltvmc2bN5svv/zSvPDCCyY8PNxMmjTpZ%2Bf3f//3fyYsLMyMGzfObNmyxYwbN840atTIrFmzxt/nX//6lyksLDQffvihkWTmzZtnCgsLzX333dfgazPGGJ/PZ5o0aWKmTJkS9ONWXV1trr76anPDDTeYjRs3mg0bNphOnTqZm2%2B%2BuU6O25133mliYmIadF1OH7Nj/vznP5v4%2BPiA1/6cefPmmfDwcDNjxgyzefNmk5mZaaKiosy3337r71NcXGwKCwvNtGnT/N/eKywsNPfff3%2BDr%2B3Y%2BC6Xy3z00Uf%2BtmAdt48//ti4XC7zzDPPmG3btpmCggLTq1cv06ZNm4CxTlTfz7W6rMsYZ8%2B1srIyM2XKFLNlyxZTWFhohg8fbho3bmzWrl17yrrO5pgVFhaa4uLin913sBCwzoCkkz5mzpzp73Po0CEzdOhQ06xZMxMZGWn69OljduzYEbCfbt26nXQ/27dvN8YcDSHt27c3TZo0MdHR0SY5Odm8%2BeabZzTHBQsWmEsvvdSEh4ebyy67zLz33nsB22fOnHnKOhp6bcYY89prr5nIyEizd%2B9ef1uwajPm6NeX%2B/XrZ84//3wTFxdnBgwYYP71r3%2BddW2/5Lg1pLqMcf6YVVdXm9atW5snn3zytPUc7%2BWXXzZt2rQxERER5uqrr/Z/rf2Yp59%2B2tFzrS5rM8aY0aNHm9atWwfcUiCYtc2dO9d07NjRREVFmZYtW5q%2BffuaLVu2nLa2%2Bn6u1VVdxjh7rpWVlZnOnTubqKgo06RJE9OzZ89aAfDfre1Ux%2Bzpp58%2Bo/3XNZcxxggAAADWcA0WAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADL/j9bgRBQEwt5sQAAAABJRU5ErkJggg%3D%3D\">\n",
       "</div>\n",
       "</div><div class=\"row variablerow ignore\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_Operacion\"><s>Operacion</s><br/>\n",
       "            <small>Highly correlated</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <p><em>This variable is highly correlated with <a href=\"#pp_var_index\"><code>index</code></a> and should be ignored for analysis</em></p>\n",
       "</div>\n",
       "<div class=\"col-md-6\">\n",
       "    <table class=\"stats \">\n",
       "        <tr>\n",
       "            <th>Correlation</th>\n",
       "            <td>0.91665</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_Puerto\">Puerto<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>8</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>0.2%</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-3666068535841368019\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>CTG</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: 61.3%\">\n",
       "            2076\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>BOG</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:23%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 14.2%\">\n",
       "            482\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>BUN</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:21%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 12.9%\">\n",
       "            436\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"other\">\n",
       "    <th>Other values (5)</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:19%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 11.6%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        394\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-3666068535841368019, #minifreqtable-3666068535841368019\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-3666068535841368019\">\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\">CTG</td>\n",
       "        <td class=\"number\">2076</td>\n",
       "        <td class=\"number\">61.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">BOG</td>\n",
       "        <td class=\"number\">482</td>\n",
       "        <td class=\"number\">14.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:23%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">BUN</td>\n",
       "        <td class=\"number\">436</td>\n",
       "        <td class=\"number\">12.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:21%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">MDE</td>\n",
       "        <td class=\"number\">258</td>\n",
       "        <td class=\"number\">7.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">BAQ</td>\n",
       "        <td class=\"number\">126</td>\n",
       "        <td class=\"number\">3.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">IPI</td>\n",
       "        <td class=\"number\">4</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">APO</td>\n",
       "        <td class=\"number\">3</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">CLO</td>\n",
       "        <td class=\"number\">3</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_Servicio\">Servicio<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=\"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=\"minifreqtable8218734152104501877\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>Importación Marítima</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: 76.3%\">\n",
       "            2585\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>Importación Aérea</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:29%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 21.6%\">\n",
       "            733\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>Importación Terrestre</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: 2.1%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        70\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=\"#freqtable8218734152104501877, #minifreqtable8218734152104501877\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable8218734152104501877\">\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\">Importación Marítima</td>\n",
       "        <td class=\"number\">2585</td>\n",
       "        <td class=\"number\">76.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Importación Aérea</td>\n",
       "        <td class=\"number\">733</td>\n",
       "        <td class=\"number\">21.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:29%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Importación Terrestre</td>\n",
       "        <td class=\"number\">70</td>\n",
       "        <td class=\"number\">2.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:3%\">&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_Trafico\">Trafico<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=\"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=\"minifreqtable2685516742357433951\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>Marítimo</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: 76.3%\">\n",
       "            2585\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>Aéreo</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:29%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 21.6%\">\n",
       "            733\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>Terrestre</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: 2.1%\">\n",
       "            &nbsp;\n",
       "        </div>\n",
       "        70\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=\"#freqtable2685516742357433951, #minifreqtable2685516742357433951\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable2685516742357433951\">\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\">Marítimo</td>\n",
       "        <td class=\"number\">2585</td>\n",
       "        <td class=\"number\">76.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Aéreo</td>\n",
       "        <td class=\"number\">733</td>\n",
       "        <td class=\"number\">21.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:29%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Terrestre</td>\n",
       "        <td class=\"number\">70</td>\n",
       "        <td class=\"number\">2.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:3%\">&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_index\">index<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>3388</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>100.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>4044.7</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>7774</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=\"minihistogram5745771210885315563\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAAcBJREFUeJzt3THu0zAYh%2BEvFWvSvWpuwSG4EzMj9%2BEQ3KJVD5CIgYGGAcoC/58ACSehzzPWg13Jr2x3abcsy1KNXa/XGsex9bTs3OVyqfP53HTOV01n%2B67v%2B6r69oWHYVhjCezINE01juOPfdPSKoF0XVdVVcMwCGQnXr/90GSej%2B/evDj22DctrRLIs/ibTZU2CO0JZGNEtS2HtRcAWyYQCDZ3xXLFYEs2Fwh/rtUvTM/IFQsCgUAgEAgEAsHTPtI9bPkdThAI/osTxGnAv%2BIEgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCASr/IHOsixVVTVN009jXz5/ar0cNuRXe%2BLx2WPftLRKIPM8V1XVOI5rTM%2BGHd%2B/PDbPcx2Px3aLqapuWSHL%2B/1et9ut%2Br6vrutaT8/OLMtS8zzX6XSqw6Htq2CVQGAvPNIhEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCL4C46lNspADLy8AAAAASUVORK5CYII%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives5745771210885315563,#minihistogram5745771210885315563\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives5745771210885315563\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles5745771210885315563\"\n",
       "                                                  aria-controls=\"quantiles5745771210885315563\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram5745771210885315563\" aria-controls=\"histogram5745771210885315563\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common5745771210885315563\" aria-controls=\"common5745771210885315563\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme5745771210885315563\" aria-controls=\"extreme5745771210885315563\"\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=\"quantiles5745771210885315563\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>402.35</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>2113.8</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>4098.5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>6042.2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>7463.6</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>7774</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>7774</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>3928.5</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>2263.6</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.55966</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-1.1781</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>4044.7</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>1949.9</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>-0.10216</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>13703291</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>5123900</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>26.5 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=\"histogram5745771210885315563\">\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzt3XtcVXW%2B//H3jssWCfaICBsSjcpMRR2FRsEu3gJNdGacOWUao1NDOXkjdSry/Cabk9Kje/NwYsrprh2aOWrjHAvFLpgPxAtGinYcJy2xQLRwg45tEL%2B/P%2Ba4H23BS50F%2B%2BLr%2BXisx8P1Xd%2B99uczQLznu9da2IwxRgAAALDMJb4uAAAAINgQsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsNhFFbAKCgpks9mUl5fnGXO73Zo1a5ZiY2MVGRmpCRMm6ODBg16vO3DggMaPH6/IyEjFxsZq9uzZampq6ujyAQBAgLhoAtbWrVv1wgsvaMCAAV7jeXl5WrVqlYqKirRx40YdO3ZM2dnZamlpkSS1tLRo3LhxOn78uDZu3KiioiKtWLFC8%2BbN80UbAAAgANiMMcbXRbS3Y8eOafDgwXruuef0yCOP6Ic//KGeeeYZuVwudevWTa%2B//rpuvfVWSdKXX36ppKQkvf3228rKytI777yj7OxsVVdXKzExUZJUVFSkadOmqa6uTtHR0b5sDQAA%2BKFQXxfQEWbMmKFx48Zp9OjReuSRRzzjFRUVam5uVmZmpmcsMTFRKSkpKisrU1ZWljZt2qSUlBRPuJKkrKwsud1uVVRUaMSIEa3ez%2B12y%2B12e/ZPnTqlr7/%2BWl27dpXNZmunLgEAwLcZY9TY2KjExERdcknHfmgX9AGrqKhIFRUV2rZtW6tjtbW1Cg8PV5cuXbzG4%2BPjVVtb65kTHx/vdbxLly4KDw/3zDlTQUGBHn74YYs6AAAA/xfV1dXq3r17h75nUAes6upqzZkzR%2BvWrVOnTp0u%2BHXGGK%2BVprZWnc6c8235%2BfmaO3euZ9/lcqlHjx6qrq7mI0UAADpIQ0ODkpKSFBUV1eHvHdQBq6KiQnV1dUpNTfWMtbS0aMOGDVqyZInWrl2rpqYm1dfXe61i1dXVKSMjQ5LkdDq1efNmr/PW19erubm51crWaXa7XXa7vdV4dHQ0AQsAgA7mi8tzgvouwlGjRmnnzp2qrKz0bGlpaZoyZYrn32FhYSopKfG8pqamRlVVVZ6AlZ6erqqqKtXU1HjmrFu3Tna73Su4AQAAnBbUK1hRUVFKSUnxGouMjFTXrl0943feeafmzZunrl27KiYmRvPnz1f//v01evRoSVJmZqb69u2rnJwcPf744/r66681f/585ebmshoFAADaFNQB60I8/fTTCg0N1S233KITJ05o1KhReuWVVxQSEiJJCgkJ0Zo1a3TPPfdo2LBhioiI0OTJk/XEE0/4uHIAAOCvLornYPlaQ0ODHA6HXC4Xq14AAHQQX/7%2BDeprsAAAAHyBgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFrvon%2BQOAMCFSltQ7OsSgta2RWN8XYKlWMECAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGI8pgFAhwu0W92D7fZxAO2PFSwAAACLEbAAAAAsxkeEAHAefKQJ4LtiBQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsFdcAqLCzUgAEDFB0drejoaKWnp%2Budd97xHB8%2BfLhsNpvXNmnSJK9z1NfXKycnRw6HQw6HQzk5OTp69GhHtwIAAAJIUAes7t2769FHH9W2bdu0bds2jRw5Uj/%2B8Y%2B1a9cuz5zc3FzV1NR4tueff97rHJMnT1ZlZaWKi4tVXFysyspK5eTkdHQrAAAggAT1H3seP3681/6iRYtUWFio8vJy9evXT5LUuXNnOZ3ONl//ySefqLi4WOXl5RoyZIgkaenSpUpPT9eePXvUu3fv9m0AAAAEpKBewfq2lpYWFRUV6fjx40pPT/eML1%2B%2BXLGxserXr5/mz5%2BvxsZGz7FNmzbJ4XB4wpUkDR06VA6HQ2VlZWd9L7fbrYaGBq8NAABcPIJ6BUuSdu7cqfT0dH3zzTe69NJLtWrVKvXt21eSNGXKFCUnJ8vpdKqqqkr5%2Bfn6%2BOOPVVJSIkmqra1VXFxcq3PGxcWptrb2rO9ZUFCghx9%2BuH0aAgAAfi/oA1bv3r1VWVmpo0ePasWKFZo6dapKS0vVt29f5ebmeualpKSoV69eSktL0/bt2zV48GBJks1ma3VOY0yb46fl5%2Bdr7ty5nv2GhgYlJSVZ2BUAAPBnQR%2BwwsPDddVVV0mS0tLStHXrVj377LOtLmaXpMGDByssLEx79%2B7V4MGD5XQ6dejQoVbzDh8%2BrPj4%2BLO%2Bp91ul91ut64JAAAQUII%2BYJ3JGCO3293msV27dqm5uVkJCQmSpPT0dLlcLm3ZskU/%2BtGPJEmbN2%2BWy%2BVSRkZGh9V8LmkLin1dwgXbtmiMr0sAAKBDBHXAevDBBzV27FglJSWpsbFRRUVF%2BuCDD1RcXKxPP/1Uy5cv180336zY2Fjt3r1b8%2BbN06BBgzRs2DBJUp8%2BfTRmzBjl5uZ6VrzuuusuZWdncwchAAA4q6AOWIcOHVJOTo5qamrkcDg0YMAAFRcX66abblJ1dbXeffddPfvsszp27JiSkpI0btw4PfTQQwoJCfGcY/ny5Zo9e7YyMzMlSRMmTNCSJUt81RIAAAgAQR2wXnzxxbMeS0pKUmlp6XnPERMTo2XLlllZFgAACHIXzXOwAAAAOgoBCwAAwGIELAAAAIsF9TVYAAD/FkiPmgG%2BC1awAAAALMYKFgAEGVaFAN9jBQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACwW1AGrsLBQAwYMUHR0tKKjo5Wenq533nnHc9ztdmvWrFmKjY1VZGSkJkyYoIMHD3qd48CBAxo/frwiIyMVGxur2bNnq6mpqaNbAQAAASSoA1b37t316KOPatu2bdq2bZtGjhypH//4x9q1a5ckKS8vT6tWrVJRUZE2btyoY8eOKTs7Wy0tLZKklpYWjRs3TsePH9fGjRtVVFSkFStWaN68eb5sCwAA%2BLlQXxfQnsaPH%2B%2B1v2jRIhUWFqq8vFzdu3fXiy%2B%2BqNdff12jR4%2BWJC1btkxJSUlav369srKytG7dOu3evVvV1dVKTEyUJD355JOaNm2aFi1apOjo6A7vCQAA%2BL%2BgXsH6tpaWFhUVFen48eNKT09XRUWFmpublZmZ6ZmTmJiolJQUlZWVSZI2bdqklJQUT7iSpKysLLndblVUVJz1vdxutxoaGrw2AABw8Qj6gLVz505deumlstvtmj59ulatWqW%2BffuqtrZW4eHh6tKli9f8%2BPh41dbWSpJqa2sVHx/vdbxLly4KDw/3zGlLQUGBHA6HZ0tKSrK%2BMQAA4LeCPmD17t1blZWVKi8v169//WtNnTpVu3fvPut8Y4xsNptn/9v/PtucM%2BXn58vlcnm26urq/1sTAAAgoAT1NViSFB4erquuukqSlJaWpq1bt%2BrZZ5/VrbfeqqamJtXX13utYtXV1SkjI0OS5HQ6tXnzZq/z1dfXq7m5udXK1rfZ7XbZ7fZ26AYAAASCoA9YZzLGyO12KzU1VWFhYSopKdEtt9wiSaqpqVFVVZUee%2BwxSVJ6eroWLVqkmpoaJSQkSJLWrVsnu92u1NRUn/UAtCVtQbGvSwAA/K%2BgDlgPPvigxo4dq6SkJDU2NqqoqEgffPCBiouL5XA4dOedd2revHnq2rWrYmJiNH/%2BfPXv399zV2FmZqb69u2rnJwcPf744/r66681f/585ebmcgchAAA4q6AOWIcOHVJOTo5qamrkcDg0YMAAFRcX66abbpIkPf300woNDdUtt9yiEydOaNSoUXrllVcUEhIiSQoJCdGaNWt0zz33aNiwYYqIiNDkyZP1xBNP%2BLItAADg52zGGOPrIoJdQ0ODHA6HXC6X5StfgfSx0LZFY3xdwncSSP/bAkCga4/fEe35%2B/d8gv4uQgAAgI5GwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGJB/cee4V/4234AgIsFK1gAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFgvqgFVQUKBrr71WUVFRiouL009%2B8hPt2bPHa87w4cNls9m8tkmTJnnNqa%2BvV05OjhwOhxwOh3JycnT06NGObAUAAASQoA5YpaWlmjFjhsrLy1VSUqKTJ08qMzNTx48f95qXm5urmpoaz/b88897HZ88ebIqKytVXFys4uJiVVZWKicnpyNbAQAAASTU1wW0p%2BLiYq/9l19%2BWXFxcaqoqNANN9zgGe/cubOcTmeb5/jkk09UXFys8vJyDRkyRJK0dOlSpaena8%2BePerdu3f7NQAAAAJSUK9gncnlckmSYmJivMaXL1%2Bu2NhY9evXT/Pnz1djY6Pn2KZNm%2BRwODzhSpKGDh0qh8OhsrKyNt/H7XaroaHBawMAABePoF7B%2BjZjjObOnavrrrtOKSkpnvEpU6YoOTlZTqdTVVVVys/P18cff6ySkhJJUm1treLi4lqdLy4uTrW1tW2%2BV0FBgR5%2B%2BOH2aQQAAPi9iyZgzZw5Uzt27NDGjRu9xnNzcz3/TklJUa9evZSWlqbt27dr8ODBkiSbzdbqfMaYNsclKT8/X3PnzvXsNzQ0KCkpyYo2AABAALgoAtasWbO0evVqbdiwQd27dz/n3MGDByssLEx79%2B7V4MGD5XQ6dejQoVbzDh8%2BrPj4%2BDbPYbfbZbfbLakdAAAEnqC%2BBssYo5kzZ2rlypV67733lJycfN7X7Nq1S83NzUpISJAkpaeny%2BVyacuWLZ45mzdvlsvlUkZGRrvVDgAAAldQr2DNmDFDb7zxhv76178qKirKc82Uw%2BFQRESEPv30Uy1fvlw333yzYmNjtXv3bs2bN0%2BDBg3SsGHDJEl9%2BvTRmDFjlJub63l8w1133aXs7GzuIAQAAG0K6hWswsJCuVwuDR8%2BXAkJCZ7tzTfflCSFh4fr3XffVVZWlnr37q3Zs2crMzNT69evV0hIiOc8y5cvV//%2B/ZWZmanMzEwNGDBAr7/%2Buq/aAgAAfs5vV7CWLVumn//85%2BrUqdP3Pocx5pzHk5KSVFpaet7zxMTEaNmyZd%2B7DgAAcHHx2xWsuXPnyul06u677/a6/gkAAMDf%2BW3A%2BvLLL/XSSy%2BppqZG1113nfr166cnn3xShw8f9nVpAAAA5%2BS3ASs0NFQTJ07U6tWrdeDAAU2dOlUvvfSSunfvrokTJ2rNmjXn/QgQAADAF/w2YH2b0%2BnUqFGjNHz4cNlsNm3btk2TJ09Wr1699OGHH/q6PAAAAC9%2BHbCOHDmiZ555RgMHDtSwYcNUV1ent956S59//rm%2B%2BOILZWdn6xe/%2BIWvywQAAPDit3cR/vSnP9Xbb7%2Bt5ORk/epXv9LUqVPVrVs3z/FLL71U9913n37/%2B9/7sEoAAIDW/DZgRUdHa/369br%2B%2BuvPOichIUF79%2B7twKoAAADOz28D1quvvnreOTabTVdeeWUHVAMAAHDh/PYarHvvvVdLlixpNf6HP/xB8%2BbN80FFAAAAF8ZvA9Zf/vIXDR06tNV4enq650/dAAAA%2BCO/DVhHjhxRly5dWo1HR0fryJEjPqgIAADgwvhtwLryyiu1du3aVuNr165VcnKyDyoCAAC4MH57kXteXp7y8vL01VdfaeTIkZKkd999V4899pieeOIJH1cHAABwdn4bsHJzc/XNN99o8eLFeuihhyRJ3bt31%2B9//3vdcccdPq4OAADg7Pw2YEnSrFmzNGvWLNXU1CgiIkI/%2BMEPfF0SAADAefl1wDotISHB1yUAAABcML%2B9yP3w4cP65S9/qR49eqhTp04KDw/32gAAAPyV365gTZs2TZ9%2B%2Bql%2B85vfKCEhQTabzdclAQAAXBC/DVgbNmzQhg0bNGjQIF%2BXAgAA8J347UeE3bt3Z9UKAAAEJL8NWE8//bTy8/N18OBBX5cCAADwnfjtR4Q5OTlqbGxUz549FR0drbCwMK/jdXV1PqoMAADg3Pw2YD366KO%2BLgEAAOB78duAdeedd/q6BAAAgO/Fb6/BkqTPPvtMCxcuVE5OjucjwXXr1umTTz7xcWUAAABn57cB68MPP1S/fv1UWlqqP//5zzp27Jgkafv27frtb3/r4%2BoAAADOzm8D1v3336%2BFCxfq/fff93py%2B8iRI1VeXu7DygAAAM7NbwPWjh079POf/7zVeFxcnA4fPuyDigAAAC6M3wasH/zgB6qtrW01XllZqcsuu8wHFQEAAFwYvw1YkyZN0gMPPKDDhw97nui%2BefNmzZ8/X7fffvsFnaOgoEDXXnutoqKiFBcXp5/85Cfas2eP1xy3261Zs2YpNjZWkZGRmjBhQquHmx44cEDjx49XZGSkYmNjNXv2bDU1NVnTKAAACDp%2BG7AWL14sp9OphIQEHTt2TH379lVGRoauvfZa/b//9/8u6BylpaWaMWOGysvLVVJSopMnTyozM1PHjx/3zMnLy9OqVatUVFSkjRs36tixY8rOzlZLS4skqaWlRePGjdPx48e1ceNGFRUVacWKFZo3b1679A0AAAKfzRhjfF3Eufz973/X9u3bderUKQ0ePFjXXHPN9z7X4cOHFRcXp9LSUt1www1yuVzq1q2bXn/9dd16662SpC%2B//FJJSUl6%2B%2B23lZWVpXfeeUfZ2dmqrq5WYmKiJKmoqEjTpk1TXV2doqOjz/u%2BDQ0NcjgccrlcFzT/u0hbUGzp%2BQAA8IVti8ZYfs72/P17Pn77oNHTrr76al199dWWnMvlckmSYmJiJEkVFRVqbm5WZmamZ05iYqJSUlJUVlamrKwsbdq0SSkpKZ5wJUlZWVlyu92qqKjQiBEjWr2P2%2B2W2%2B327Dc0NFhSPwAACAx%2BG7Duuuuucx5/4YUXvtP5jDGaO3eurrvuOqWkpEiSamtrFR4eri5dunjNjY%2BP91xgX1tbq/j4eK/jXbp0UXh4eJsX4Uv/uvbr4Ycf/k71AQCA4OG3AaumpsZrv7m5Wbt27VJjY6NuuOGG73y%2BmTNnaseOHdq4ceN55xpjPBfWS/L699nmfFt%2Bfr7mzp3r2W9oaFBSUtJ3rhkAAAQmvw1Yf/vb31qNnTx5Ur/%2B9a/Vp0%2Bf73SuWbNmafXq1dqwYYO6d%2B/uGXc6nWpqalJ9fb3XKlZdXZ0yMjI8czZv3ux1vvr6ejU3N7da2TrNbrfLbrd/pxoBAEDw8Nu7CNsSGhqq%2BfPn6/HHH7%2Bg%2BcYYzZw5UytXrtR7772n5ORkr%2BOpqakKCwtTSUmJZ6ympkZVVVWegJWenq6qqiqvFbV169bJbrcrNTXVgq4AAECw8dsVrLPZt2%2BfmpubL2jujBkz9MYbb%2Bivf/2roqKiPNdMORwORUREyOFw6M4779S8efPUtWtXxcTEaP78%2Berfv79Gjx4tScrMzFTfvn2Vk5Ojxx9/XF9//bXmz5%2Bv3NzcDr8jAQAABAa/DVj33Xef174xRjU1NVq9erWmTJlyQecoLCyUJA0fPtxr/OWXX9a0adMkSU8//bRCQ0N1yy236MSJExo1apReeeUVhYSESJJCQkK0Zs0a3XPPPRo2bJgiIiI0efJkPfHEE/%2B3BgEAQNDy2%2BdgXX/99V77l1xyibp166aRI0cqNzdXYWFhPqrsu%2BM5WAAAnBvPweogH374oa9LAAAA%2BF4C6iJ3AACAQOC3K1jXXnvtWZ8zdaYtW7a0czUAAAAXzm8D1ogRI/T888/r6quvVnp6uiSpvLxce/bs0d13381zpgAAgN/y24B19OhRzZgxQ4sXL/YaX7BggQ4dOqQ//elPPqoMAADg3Pz2Gqw///nP%2BuUvf9lqfNq0afrLX/7ig4oAAAAujN8GLLvdrrKyslbjZWVlfDwIAAD8mt9%2BRDh79mxNnz5dH330kYYOHSrpX9dgLV26VA8%2B%2BKCPqwMAADg7vw1YCxYsUHJysp599lm99NJLkqQ%2Bffpo6dKlmjx5so%2BrAwAAODu/DViSNHnyZMIUAAAIOH57DZb0r0fcv/LKK/rtb3%2Br%2Bvp6SdLHH3%2BsmpoaH1cGAABwdn67glVVVaXRo0erc%2BfOqq6u1rRp09SlSxf9%2Bc9/1sGDB/Xqq6/6ukQAAIA2%2Be0K1r333qvJkyfr008/VadOnTzj48aN04YNG3xYGQAAwLn57QrW1q1bVVhY2OrP5Vx22WV8RAgAAPya365ghYeH69ixY63G9%2B7dq9jYWB9UBAAAcGH8NmBNmDBB//Ef/6GTJ09Kkmw2m7744gs98MADmjhxoo%2BrAwAAODu/DVhPPvmkvvzySzmdTp04cUIjR47UFVdcoU6dOrX6%2B4QAAAD%2BxG%2BvwXI4HCorK1NJSYm2b9%2BuU6dOafDgwcrKymp1XRYAAIA/8cuA1dzcrJtvvlnPPfecMjMzlZmZ6euSAAAALphffkQYFhamjz76iJUqAAAQkPwyYEnS7bffrpdfftnXZQAAAHxnfvkR4WlLlizR%2BvXrlZaWpsjISK9jjz32mI%2BqAgAAODe/DVgVFRUaMGCAJGnHjh1ex/joEAAA%2BDO/C1j79u1TcnKyPvzwQ1%2BXAgAA8L343TVYvXr10uHDhz37t956qw4dOuTDigAAAL4bvwtYxhiv/bffflvHjx/3UTUAAADfnd8FLAAAgEDndwHLZrO1uoidi9oBAEAg8buL3I0xmjZtmux2uyTpm2%2B%2B0fTp01s9pmHlypW%2BKA8AAOC8/G4Fa%2BrUqYqLi5PD4ZDD4dDtt9%2BuxMREz/7p7UJs2LBB48ePV2Jiomw2m9566y2v49OmTfOsmJ3ehg4d6jXH7XZr1qxZio2NVWRkpCZMmKCDBw9a1i8AAAg%2BfreCZeXT248fP66BAwfql7/8pX72s5%2B1OWfMmDFe7xkeHu51PC8vT3/7299UVFSkrl27at68ecrOzlZFRYVCQkIsqxUAAAQPvwtYVho7dqzGjh17zjl2u11Op7PNYy6XSy%2B%2B%2BKJef/11jR49WpK0bNkyJSUlaf369crKyrK8ZgAAEPj87iPCjvbBBx8oLi5OV199tXJzc1VXV%2Bc5VlFRoebmZmVmZnrGEhMTlZKSorKysrOe0%2B12q6GhwWsDAAAXj4s6YI0dO1bLly/Xe%2B%2B9pyeffFJbt27VyJEj5Xa7JUm1tbUKDw9Xly5dvF4XHx%2Bv2tras563oKDA63qxpKSkdu0DAAD4l6D%2BiPB8br31Vs%2B/U1JSlJaWpp49e2rNmjWaOHHiWV9njDnnoyPy8/M1d%2B5cz35DQwMhCwCAi8hFvYJ1poSEBPXs2VN79%2B6VJDmdTjU1Nam%2Bvt5rXl1dneLj4896HrvdrujoaK8NAABcPAhY3/LVV1%2BpurpaCQkJkqTU1FSFhYWppKTEM6empkZVVVXKyMjwVZkAAMDPBfVHhMeOHdM//vEPz/7%2B/ftVWVmpmJgYxcTEaOHChfrZz36mhIQEffbZZ3rwwQcVGxurn/70p5Ikh8OhO%2B%2B8U/PmzVPXrl0VExOj%2BfPnq3///p67CgEAAM4U1AFr27ZtGjFihGf/9HVRU6dOVWFhoXbu3KnXXntNR48eVUJCgkaMGKE333xTUVFRntc8/fTTCg0N1S233KITJ05o1KhReuWVV3gGFgAAOCubMcb4uohg19DQIIfDIZfLZfn1WGkLii09HwAAvrBt0RjLz9mev3/Ph2uwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACwW1AFrw4YNGj9%2BvBITE2Wz2fTWW295HTfGaOHChUpMTFRERISGDx%2BuXbt2ec2pr69XTk6OHA6HHA6HcnJydPTo0Y5sAwAABJigDljHjx/XwIEDtWTJkjaPP/bYY3rqqae0ZMkSbd26VU6nUzfddJMaGxs9cyZPnqzKykoVFxeruLhYlZWVysnJ6agWAABAAAr1dQHtaezYsRo7dmybx4wxeuaZZ7RgwQJNnDhRkvTqq68qPj5eb7zxhu6%2B%2B2598sknKi4uVnl5uYYMGSJJWrp0qdLT07Vnzx717t27w3oBAACBI6hXsM5l//79qq2tVWZmpmfMbrfrxhtvVFlZmSRp06ZNcjgcnnAlSUOHDpXD4fDMaYvb7VZDQ4PXBgAALh4XbcCqra2VJMXHx3uNx8fHe47V1tYqLi6u1Wvj4uI8c9pSUFDguWbL4XAoKSnJwsoBAIC/u2gD1mk2m81r3xjjNXbm8bbmnCk/P18ul8uzVVdXW1cwAADwe0F9Dda5OJ1OSf%2BZyXH9AAATDUlEQVRapUpISPCM19XVeVa1nE6nDh061Oq1hw8fbrXy9W12u112u93iigEAQKC4aFewkpOT5XQ6VVJS4hlrampSaWmpMjIyJEnp6elyuVzasmWLZ87mzZvlcrk8cwAAAM4U1CtYx44d0z/%2B8Q/P/v79%2B1VZWamYmBj16NFDeXl5Wrx4sXr16qVevXpp8eLF6ty5syZPnixJ6tOnj8aMGaPc3Fw9//zzkqS77rpL2dnZ3EEIAADOKqgD1rZt2zRixAjP/ty5cyVJU6dO1SuvvKL77rtPJ06c0D333KP6%2BnoNGTJE69atU1RUlOc1y5cv1%2BzZsz13G06YMOGsz9UCAACQJJsxxvi6iGDX0NAgh8Mhl8ul6OhoS8%2BdtqDY0vMBAOAL2xaNsfyc7fn793wu2muwAAAA2gsBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALDYRR%2BwFi5cKJvN5rU5nU7PcWOMFi5cqMTEREVERGj48OHatWuXDysGAAD%2B7qIPWJLUr18/1dTUeLadO3d6jj322GN66qmntGTJEm3dulVOp1M33XSTGhsbfVgxAADwZwQsSaGhoXI6nZ6tW7dukv61evXMM89owYIFmjhxolJSUvTqq6/qn//8p9544w0fVw0AAPwVAUvS3r17lZiYqOTkZE2aNEn79u2TJO3fv1%2B1tbXKzMz0zLXb7brxxhtVVlZ21vO53W41NDR4bQAA4OJx0QesIUOG6LXXXtPatWu1dOlS1dbWKiMjQ1999ZVqa2slSfHx8V6viY%2BP9xxrS0FBgRwOh2dLSkpq1x4AAIB/uegD1tixY/Wzn/1M/fv31%2BjRo7VmzRpJ0quvvuqZY7PZvF5jjGk19m35%2BflyuVyerbq6un2KBwAAfumiD1hnioyMVP/%2B/bV3717P3YRnrlbV1dW1WtX6NrvdrujoaK8NAABcPAhYZ3C73frkk0%2BUkJCg5ORkOZ1OlZSUeI43NTWptLRUGRkZPqwSAAD4s1BfF%2BBr8%2BfP1/jx49WjRw/V1dXpkUceUUNDg6ZOnSqbzaa8vDwtXrxYvXr1Uq9evbR48WJ17txZkydP9nXpAADAT130AevgwYO67bbbdOTIEXXr1k1Dhw5VeXm5evbsKUm67777dOLECd1zzz2qr6/XkCFDtG7dOkVFRfm4cgAA4K9sxhjj6yKCXUNDgxwOh1wul%2BXXY6UtKLb0fAAA%2BMK2RWMsP2d7/v49H67BAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAesCPffcc0pOTlanTp2UmpqqDz/80NclAQAAP0XAugBvvvmm8vLytGDBAn300Ue6/vrrNXbsWB04cMDXpQEAAD9EwLoATz31lO6880796le/Up8%2BffTMM88oKSlJhYWFvi4NAAD4oVBfF%2BDvmpqaVFFRoQceeMBrPDMzU2VlZW2%2Bxu12y%2B12e/ZdLpckqaGhwfL6WtzHLT8nAAAdrT1%2BR54%2BpzHG8nOfDwHrPI4cOaKWlhbFx8d7jcfHx6u2trbN1xQUFOjhhx9uNZ6UlNQuNQIAEOgcT7bfuRsbG%2BVwONrvDdpAwLpANpvNa98Y02rstPz8fM2dO9ezf%2BrUKX399dfq2rXrWV/zfTQ0NCgpKUnV1dWKjo627Lz%2Bgv4CG/0FtmDvTwr%2BHunvX7%2BrGxsblZiY2MHVEbDOKzY2ViEhIa1Wq%2Brq6lqtap1mt9tlt9u9xn7wgx%2B0W43R0dFB%2BcNzGv0FNvoLbMHenxT8PV7s/XX0ytVpXOR%2BHuHh4UpNTVVJSYnXeElJiTIyMnxUFQAA8GesYF2AuXPnKicnR2lpaUpPT9cLL7ygAwcOaPr06b4uDQAA%2BKGQhQsXLvR1Ef4uJSVFXbt21eLFi/XEE0/oxIkTev311zVw4EBfl6aQkBANHz5coaHBmZXpL7DRX2AL9v6k4O%2BR/nzHZnxx7yIAAEAQ4xosAAAAixGwAAAALEbAAgAAsBgBCwAAwGIErAD13HPPKTk5WZ06dVJqaqo%2B/PBDX5fUpg0bNmj8%2BPFKTEyUzWbTW2%2B95XXcGKOFCxcqMTFRERERGj58uHbt2uU1p76%2BXjk5OXI4HHI4HMrJydHRo0e95uzcuVM33nijIiIidNlll%2Bl3v/tdh/ztqYKCAl177bWKiopSXFycfvKTn2jPnj1ec9xut2bNmqXY2FhFRkZqwoQJOnjwoNecAwcOaPz48YqMjFRsbKxmz56tpqYmrzmlpaVKTU1Vp06ddMUVV%2BiPf/xju/dXWFioAQMGeB7kl56ernfeeScoemtLQUGBbDab8vLyPGOB3OPChQtls9m8NqfT6Tke6D9/kvTFF1/o9ttvV9euXdW5c2f98Ic/VEVFRVD0ePnll7f6%2BtlsNs2YMUNSYH9vStLJkyf17//%2B70pOTlZERISuuOIK/e53v9OpU6c8cwL56yeDgFNUVGTCwsLM0qVLze7du82cOXNMZGSk%2Bfzzz31dWitvv/22WbBggVmxYoWRZFatWuV1/NFHHzVRUVFmxYoVZufOnebWW281CQkJpqGhwTNnzJgxJiUlxZSVlZmysjKTkpJisrOzPcddLpeJj483kyZNMjt37jQrVqwwUVFR5oknnmj3/rKysszLL79sqqqqTGVlpRk3bpzp0aOHOXbsmGfO9OnTzWWXXWZKSkrM9u3bzYgRI8zAgQPNyZMnjTHGnDx50qSkpJgRI0aY7du3m5KSEpOYmGhmzpzpOce%2BfftM586dzZw5c8zu3bvN0qVLTVhYmPmv//qvdu1v9erVZs2aNWbPnj1mz5495sEHHzRhYWGmqqoq4Hs705YtW8zll19uBgwYYObMmeMZD%2BQeH3roIdOvXz9TU1Pj2erq6jzHA/3n7%2BuvvzY9e/Y006ZNM5s3bzb79%2B8369evN//4xz%2BCose6ujqvr11JSYmRZN5//31jTGB/bxpjzCOPPGK6du1q/vu//9vs37/f/OUvfzGXXnqpeeaZZzxzAvnrR8AKQD/60Y/M9OnTvcauueYa88ADD/ioogtzZsA6deqUcTqd5tFHH/WMffPNN8bhcJg//vGPxhhjdu/ebSSZ8vJyz5xNmzYZSeZ//ud/jDHGPPfcc8bhcJhvvvnGM6egoMAkJiaaU6dOtXdbXurq6owkU1paaowx5ujRoyYsLMwUFRV55nzxxRfmkksuMcXFxcaYf4XQSy65xHzxxReeOf/5n/9p7Ha7cblcxhhj7rvvPnPNNdd4vdfdd99thg4d2t4ttdKlSxfzpz/9Kah6a2xsNL169TIlJSXmxhtv9ASsQO/xoYceMgMHDmzzWDD8/N1///3muuuuO%2BvxYOjx2%2BbMmWOuvPJKc%2BrUqYD/3jTGmHHjxpk77rjDa2zixInm9ttvN8YE/tePjwgDTFNTkyoqKpSZmek1npmZqbKyMh9V9f3s379ftbW1Xr3Y7XbdeOONnl42bdokh8OhIUOGeOYMHTpUDofDa86NN97o9fcfs7Ky9OWXX%2Bqzzz7rmGb%2Bl8vlkiTFxMRIkioqKtTc3OzVY2JiolJSUrzqT0lJ8fpjpFlZWXK73Z6POjZt2tTqa56VlaVt27apubm5XXs6raWlRUVFRTp%2B/LjS09ODqrcZM2Zo3LhxGj16tNd4MPS4d%2B9eJSYmKjk5WZMmTdK%2BffskBcfP3%2BrVq5WWlqZ/%2B7d/U1xcnAYNGqSlS5d6jgdDj6c1NTVp2bJluuOOO2Sz2YLie/O6667Tu%2B%2B%2Bq7///e%2BSpI8//lgbN27UzTffLCnwv34ErABz5MgRtbS0tPpD0/Hx8a3%2BILW/O13vuXqpra1VXFxcq9fGxcV5zWnrHN9%2Bj45gjNHcuXN13XXXKSUlxfP%2B4eHh6tKlS6v6zlV/ly5dFB4eft4eT548qSNHjrRXS5L%2Bde3CpZdeKrvdrunTp2vVqlXq27dvUPQmSUVFRaqoqFBBQUGrY4He45AhQ/Taa69p7dq1Wrp0qWpra5WRkaGvvvoqKH7%2B9u3bp8LCQvXq1Utr167V9OnTNXv2bL322mte7x/IPZ721ltv6ejRo5o2bZrnfQP5e1OS7r//ft1222265pprFBYWpkGDBikvL0%2B33Xabp7bT9ZxZXyB8/fzv2fK4IDabzWvfGNNqLFCcr5e2%2BjrfHPO/Fy925P8mM2fO1I4dO7Rx48bzzg2kHnv37q3KykodPXpUK1as0NSpU1VaWnrW%2BYHUW3V1tebMmaN169apU6dOF/y6QOlx7Nixnn/3799f6enpuvLKK/Xqq69q6NChZ60rEHqTpFOnTiktLU2LFy%2BWJA0aNEi7du1SYWGhfvGLX5yzvkDp8bQXX3xRY8eO9VqNaksg9fbmm29q2bJleuONN9SvXz9VVlYqLy9PiYmJmjp16jnrC4QeWcEKMLGxsQoJCWmVuuvq6loldH93%2Bm6mc/XidDp16NChVq89fPiw15y2ziG1/n8%2B7WXWrFlavXq13n//fXXv3t0z7nQ61dTUpPr6%2Blb1nav%2B%2Bvp6NTc3n7fH0NBQde3atT1a8ggPD9dVV12ltLQ0FRQUaODAgXr22WeDoreKigrV1dUpNTVVoaGhCg0NVWlpqX7/%2B98rNDRU8fHxAd/jt0VGRqp///7au3dvUPz8JSQkqG/fvl5jffr00YEDBzy1SYHdoyR9/vnnWr9%2BvX71q195xoLh5%2B83v/mNHnjgAU2aNEn9%2B/dXTk6O7r33Xs9qcqB//QhYASY8PFypqakqKSnxGi8pKVFGRoaPqvp%2BkpOT5XQ6vXppampSaWmpp5f09HS5XC5t2bLFM2fz5s1yuVxeczZs2OB16/G6deuUmJioyy%2B/vF17MMZo5syZWrlypd577z0lJyd7HU9NTVVYWJhXjzU1NaqqqvKqv6qqSjU1NV712%2B12paameuac%2BTVft26d0tLSFBYW1l7ttckYI7fbHRS9jRo1Sjt37lRlZaVnS0tL05QpUzz/DvQev83tduuTTz5RQkJCUPz8DRs2rNVjUf7%2B97%2BrZ8%2BekoLjvzGS9PLLLysuLk7jxo3zjAXDz98///lPXXKJdwwJCQnxPKYh4L9%2B7Xb5PNrN6cc0vPjii2b37t0mLy/PREZGms8%2B%2B8zXpbXS2NhoPvroI/PRRx8ZSeapp54yH330keeREo8%2B%2BqhxOBxm5cqVZufOnea2225r8xbcAQMGmE2bNplNmzaZ/v37e92Ce/ToURMfH29uu%2B02s3PnTrNy5UoTHR3dIbeJ//rXvzYOh8N88MEHXrdT//Of//TMmT59uunevbtZv3692b59uxk5cmSbt1KPGjXKbN%2B%2B3axfv9507969zVup7733XrN7927z4osvdsit1Pn5%2BWbDhg1m//79ZseOHebBBx80l1xyiVm3bl3A93Y2376L0JjA7nHevHnmgw8%2BMPv27TPl5eUmOzvbREVFef5bEeg/f1u2bDGhoaFm0aJFZu/evWb58uWmc%2BfOZtmyZZ45gd5jS0uL6dGjh7n//vtbHQvk701jjJk6daq57LLLPI9pWLlypYmNjTX33XefZ04gf/0IWAHqD3/4g%2BnZs6cJDw83gwcP9jwWwN%2B8//77RlKrberUqcaYf92G%2B9BDDxmn02nsdru54YYbzM6dO73O8dVXX5kpU6aYqKgoExUVZaZMmWLq6%2Bu95uzYscNcf/31xm63G6fTaRYuXNght0%2B31Zsk8/LLL3vmnDhxwsycOdPExMSYiIgIk52dbQ4cOOB1ns8//9yMGzfOREREmJiYGDNz5kyvW4qNMeaDDz4wgwYNMuHh4ebyyy83hYWF7d7fHXfc4fk%2B69atmxk1apQnXAV6b2dzZsAK5B5PPzMoLCzMJCYmmokTJ5pdu3Z5jgf6z58xxvztb38zKSkpxm63m2uuuca88MILXscDvce1a9caSWbPnj2tjgXy96YxxjQ0NJg5c%2BaYHj16mE6dOpkrrrjCLFiwwLjdbs%2BcQP762YzpoMftAgAAXCS4BgsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAi/1/MpuTiz7xDE8AAAAASUVORK5CYII%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common5745771210885315563\">\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\">6141</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><tr class=\"\">\n",
       "        <td class=\"fillremaining\">609</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><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4755</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><tr class=\"\">\n",
       "        <td class=\"fillremaining\">6802</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><tr class=\"\">\n",
       "        <td class=\"fillremaining\">657</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><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4751</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><tr class=\"\">\n",
       "        <td class=\"fillremaining\">6798</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><tr class=\"\">\n",
       "        <td class=\"fillremaining\">653</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><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2700</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><tr class=\"\">\n",
       "        <td class=\"fillremaining\">6794</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><tr class=\"other\">\n",
       "        <td class=\"fillremaining\">Other values (3378)</td>\n",
       "        <td class=\"number\">3378</td>\n",
       "        <td class=\"number\">99.7%</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=\"extreme5745771210885315563\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">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\">1</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\">3</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\">4</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\">5</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\">7766</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\">7769</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\">7770</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\">7771</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\">7774</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>\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Correlations</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAnAAAAIkCAYAAACeDBZCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzs3XlclWXi/vELhdhMcQI0DcNB0HIDRWnTEvRnmtuoSWNquVYqoGmL06JFZhbVqGQuWbaYS6iNlpNOaqaVYCMuaRi4DYkJuKRsAnp%2Bf5jn2wnUow8%2B8OTn/Xqdl3I/Czf31HB13ecBF5vNZhMAAAAso1plTwAAAACXhwAHAABgMQQ4AAAAiyHAAQAAWAwBDgAAwGIIcAAAABZDgAMAALAYAhwAAIDFEOAAAAAsxrWyJwCg8vz888%2BKioq64HE3NzfVqFFDgYGBuueeezRgwADVqFHDxBkCAMrjwq/SAq5dvw9wISEhZcJZSUmJjh07pkOHDkmS6tWrp/nz5%2Bvmm282fa4AgP9DgAOuYb8PcB988IEiIiLKPS85OVkjR45UXl6ewsLCtGjRIjOnCQD4A94DB%2BCSIiIi9Pjjj0uSUlNT9cMPP1TyjADg2kaAA%2BCUTp062f%2B%2Bffv2SpwJAICHGAA45frrr7f/PT8/3%2BHYli1b9OGHH2rr1q06ceKEatasqdDQUA0cOFC33357ufc7efKkFi1apA0bNigjI0N5eXny9PRUgwYN1KFDBw0aNEi1atVyuKZx48aSpG%2B%2B%2BUavvPKK1q5dq2rVqqlp06Z699135erqqu3bt2v%2B/PnavXu3Dh8%2BLHd3dzVs2FAdO3ZU//79y30Io6ioSIsWLdKqVauUkZGhkpIS1alTR3fccYeGDBmiwMBAh/OTk5M1aNAgtWzZUgsWLNCHH36oTz/9VAcPHpSbm5uaNm2qgQMHqmPHjley1ABwSQQ4AE45ePCg/e9169a1/z0hIUFz586VJNWqVUshISHKzs7W2rVrtXbtWg0bNkxPPPGEw70OHDighx9%2BWIcPH5arq6saNGig%2BvXr69ChQ9q1a5d27dqlzz//XEuXLpW3t3eZucTExCg1NVUhISE6duyY/Pz85OrqqjVr1mjs2LEqLS1V7dq11ahRI%2BXn52vHjh3avn27VqxYoUWLFjmEuF9%2B%2BUWDBw/Wvn37JEmBgYHy9vbW3r17tXjxYn366ad65ZVX1LVr1zLzKCkp0fDhw/Xdd9%2Bpdu3aCgoK0v79%2B7V582Zt3rxZkyZN0t///ndjCw8A5bEBuGZlZmbaQkJCbCEhIbbNmzdf9Nwnn3zSFhISYmvatKktJyfHZrPZbAsXLrSFhITYwsPDbf/617/s5549e9b2%2Beef20JDQ20hISG2JUuWONxrwIABtpCQEFu/fv1sR44ccbhu%2BfLltiZNmthCQkJsH330kcN15%2BfarFkzW0pKis1ms9nOnDljO378uO3MmTO2O%2B%2B80xYSEmKbO3eurbS01H7dDz/8YLvttttsISEhttmzZ9vHS0tLbT179rSFhITYOnfubPvxxx/tx06dOmV75pln7F/ztm3b7Mc2b95sn0toaKhtxYoV9mMnT560PfTQQ7aQkBBb27ZtbSUlJRddVwC4ErwHDsAFFRUVaffu3Zo4caI%2B/fRTSdLDDz8sX19fFRcXa8aMGZKkl19%2BWT169LBf5%2BLioq5du9qbtxkzZqi0tFSSdPToUaWnp0uS4uPj5e/v73Bdr1691LZtW0nSnj17yp1Xly5d1KZNG0lStWrV5OPjo2PHjiknJ0eS1K9fP1WvXt1%2BftOmTTV27Fh17NhRPj4%2B9vEvvvhCP/74o9zd3TV37lw1adLEfqxGjRp66aWX1K5dO5WUlOjNN98sdy6xsbHq3r27/ePrr7/e/nWfOHFC%2B/fvv8DqAsCVYwsVgCRp0KBBlzzn/vvvV1xcnKRzT6Pm5ubK29v7gj8MuEePHoqPj9eRI0e0e/dutWjRQjfccIM2b96soqIieXh4lLnmzJkz9i3OoqKicu/bunXrMmO1a9dWrVq19Ouvv2r8%2BPF67LHH1LJlS1Wrdu6/U/v166d%2B/fo5XLNu3TpJUmRkpAICAsr9XIMHD9bGjRuVkpKiU6dOObwXUJI6dOhQ5pqgoCD730%2BePFnufQHACAIcAEllf5Cvi4uL3N3d5ePjo8aNG6tjx45q1KiR/fj5Fq2kpEQPPvjgBe9bvXp1nT17Vvv27VOLFi3s4x4eHjp8%2BLC2b9%2Bu//3vf8rMzNTevXv1448/qqCgQJJ09uzZcu/p5%2BdX7ucZP368nnvuOW3YsEEbNmxQrVq1FBERoTvvvFP33HOPw3v3JNnbsaZNm15w/uePnTlzRgcPHlSzZs0cjtepU6fMNb8PpmfOnLngvQHgShHgAEiSnn322Qv%2BIN/ynDp1SpJUXFysrVu3XvL83zdR%2B/bt06uvvqoNGzY4hLQaNWooPDxc2dnZSktLu%2BC9ymvupHMt280336z33ntP3377rX799VetWbNGa9askYuLi%2B655x5NmjTJHuTy8vIkqUyr9nu/D7V/fPpWOvfrxi7Gxs9KB3AVEOAAXBFPT09J5xqqZcuWOX3d0aNHNWDAAB09elT16tVTv379dOutt%2Bqvf/2rbrrpJrm4uGjcuHEXDXAXExERoYiICBUVFen777/Xli1btHHjRu3atUvr16/X4cOH9emnn8rFxcX%2BhOv5MFqe3wfP8p6IBYDKQIADcEUaNmwo6dyPBCktLZWra9n/O7HZbEpOTlbdunVVr149XXfddVq6dKmOHj0qHx8fLV26VH/5y1/KXHfkyJHLnk9xcbEyMzOVl5enli1bysPDQ3fddZfuuusujR07Vp9//rkef/xxpaWlac%2BePWrSpIn%2B%2Bte/avfu3dq1a9cF77tz505J57aUGzRocNnzAoCrgadQAVyRNm3a6Prrr1d%2Bfv4FG7iVK1fqoYceUpcuXfTLL79IOvf7VyWpXr165Ya3jIwMbdu2TdLlvX/s66%2B/VteuXTVixAgVFxeXOX7HHXfY/37%2BvucfQFi3bp0yMzPLve8HH3wgSQoNDVXNmjWdng8AXE0EOABXxMvLSyNGjJAkTZ48WUuXLnV4P9uXX36piRMnSjr3Yz/Ot1d//etfJUlpaWlavXq1/Xybzaavv/5aw4YNU0lJiSSpsLDQ6fm0b99etWvX1okTJ/TUU0/pxIkT9mP5%2BfmaOnWqJOnGG29UcHCwJOnee%2B9V48aNdfr0aQ0fPtxh2zYvL0/PPfecNm3aJFdXV40fP975xQGAq4wtVABXbPjw4crMzNSSJUv0j3/8Q6%2B99ppuuukmHTlyRNnZ2ZKkVq1a6aWXXrJf07dvX3388cc6ePCgYmNjVb9%2BfdWuXVuHDx/W0aNH5ebmprZt2yolJeWytlKvu%2B46TZs2TUOHDtWqVau0du1aNWjQQNWqVVNmZqYKCgrk6empV155Rdddd50kydXVVTNnztTw4cO1b98%2B9ezZ0%2BE3MZz/UScvvPCCwsPDK3bxAMAAAhyAK%2Bbi4qL4%2BHh17txZixYt0rZt2%2Bw/GDc0NFTdunVTdHS0PTBJ557qTEpK0ty5c7V%2B/Xr9/PPPys3NVd26dXXPPffooYcekpeXlzp27Ki0tDRlZWWpXr16Ts0nIiJCn3zyid577z3997//1YEDB%2BTq6qq6devqrrvu0pAhQ8rc66abbtLSpUu1cOFCffHFF9q7d69%2B%2BeUX3XjjjWrXrp0efPDBMr8LFQAqm4uNZ9wBAAAshffAAQAAWAwBDgAAwGIIcAAAABZDgAMAAPjNsWPH1KlTJyUnJ1/wnA0bNqh79%2B4KDQ1Vly5dtH79eofjc%2BfOVfv27RUaGqqBAwdq3759FT5PAhwAAICk//73v4qOjtb//ve/C55z4MABxcTEKC4uTt9//71iYmI0ZswY%2B489Wr58uT788EPNmzdPycnJatq0qWJjYyv89yIT4AAAwDVv%2BfLlGj9%2BvMaOHXvJ88LDw9WxY0e5urqqa9euatOmjRYvXixJWrJkifr376/g4GC5u7tr3LhxysrKumijdyUIcAAAwPKys7O1a9cuh9f5HyjujLvuukv/%2Bc9/1LVr14uel5GRoZCQEIexRo0a2X%2BTyx%2BPu7m5KTAw0OE3vVQEfpCvGVxcKnsGuJiGDaX0dCk4WNq/v7Jng0vx9a3sGeBibr5ZSk6WIiKkgwcreza4lJycyvm8V%2BH74uLp05WYmOgwNnr0aMXExDh1vZ%2Bfn1Pn5efny9PT02HMw8NDBQUFTh2vKAQ4wMdHql793J8AjKlV69y/T7VqVfZMcI2Jjo5WZGSkw5izoexyeHp6qqioyGGsqKhI3t7eTh2vKAQ4AABgrmoV/w4uf39/%2Bfv7V/h9/ygkJES7du1yGMvIyFCzZs0kScHBwUpPT1eHDh0kSSUlJTpw4ECZbVejeA8cAACAk3r06KGUlBStWrVKpaWlWrVqlVJSUtSzZ09JUp8%2BffTRRx8pLS1Np0%2Bf1uuvvy5fX1%2BFh4dX6Dxo4AAAgLmuQgN3NYWFhemFF15Qjx49FBQUpLfeeksJCQl65plnVL9%2Bfc2YMUMNGzaUJPXt21enTp3SqFGjdOzYMTVv3lyzZ8%2BWm5tbhc6JX2ZvBh5iqNrCwqStW6VWraTU1MqeDS6FhxiqthYtpLVrpagoaceOyp4NLqWyHmJwd6/4e54%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%2B12GsoKBA0dHRevHFF5Wbm6s777xTXl5e9uO1a9fWunXrKnS%2BBDgAAGCuKtjAjRkzRnXq1NHGjRuVm5urxx57TPPnz9ewYcMcznvnnXccPk5KSlJiYqJGjx4tSdq5c6fq169f4YHtj6reCgIAAJjo4MGDSklJ0RNPPCFPT08FBARo5MiRWrBgwUWv27dvn%2BLj45WQkCB/f39J5wJcs2bNrvqcaeAAAIC5rkIDl52drZycHIcxPz8/e7C6mPT0dPn4%2BKhOnTr2saCgIGVlZenkyZOqWbNmude98MIL6tWrl8LDw%2B1jO3fu1K%2B//qpu3bopNzdXzZs311NPPaVGjRpd4VdWPgIcAAAw11UIcIsXL1ZiYqLD2OjRoxUTE3PJa/Pz8%2BXp6ekwdv7jgoKCcgPc999/r%2B3btyshIcFhvGbNmmrUqJGGDx%2Bu6667TtOmTdPgwYO1atUqXX/99Zf7ZV0QAQ4AAFhedHS0IiMjHcb8/PycutbLy0uFhYUOY%2Bc/9vb2LveaxYsXq0uXLmU%2Bx%2Buvv%2B7w8YQJE7R06VJ9//336tChg1PzcQYBDgAAmOsqNHD%2B/v5ObZeWJzg4WCdOnFBubq58fX0lSXv37lXdunXLbc1KS0u1du1avfXWWw7jeXl5euuttzRgwADVr19fknTmzBmVlpbKw8PjiuZ2ITzEAAAArmmBgYFq3bq1Xn75ZeXl5SkzM1MzZ85U3759yz1/z549On36tFq1auUwXqNGDX377beaOnWqTp06pfz8fMXHx%2Bumm25yeJ9cRSDAAQAAc1WrVvEvg6ZPn67S0lJFRUWpX79%2BateunUaOHClJCgsL04oVK%2BznZmZmqlatWnJ3dy9zn5kzZ%2Brs2bPq2LGj2rVrp5ycHM2dO1dubm6G5/h7LjabzVahd0RZLi6VPQNcTFiYtHWr1KqVlJpa2bPBpfy2vYEqqkULae1aKSpK2rGjsmeDS/nDU5um6dy54u%2B5enXF37MKo4EDAACwGB5iAAAA5qqCv4nBalhBAAAAi6GBAwAA5qKBM4wABwAAzEWAM4wVBAAAsBgaOAAAYC4aOMNYQQAAAIuhgQMAAOaigTOMAAcAAMxFgDOMFQQAALAYGjgAAGAuGjjDWEEAAACLoYEDAADmooEzjAAHAADMRYAzjBUEAACwGBo4AABgLho4w1hBAAAAi6GBAwAA5qKBM4wABwAAzEWAM4wVBAAAsBgaOAAAYC4aOMMIcAAAwFwEOMNYQQAAAIuhgQMAAOaigTOMFQQAALAYGjgAAGAuGjjDCHAAAMBcBDjDWEEAAACLoYEDAADmooEzjBUEAACwGBo4AABgLho4wwhwAADAXAQ4w1hBAAAAi6GBAwAA5qKBM4wVBAAAsBgaOAAAYC4aOMMIcAAAwFwEOMNYQQAAAIuhgQMAAOaigTOMFQQAALAYGjgAAGAuGjjDCHAAAMBcBDjDLLOCWVlZCgsLU1ZW1mVf%2B/TTT%2Bvpp5%2B%2BCrMCAAB/BkePHtXIkSMVHh6uiIgITZ48WaWlpeWeO2zYMDVv3lxhYWH219dffy1JOnPmjKZOnao77rhDYWFheuyxx5SdnV3h87VMgKtXr55SU1NVr169yp4KAAAwolq1in8ZNGbMGHl5eWnjxo1KSkrSd999p/nz55d77g8//KB58%2BYpNTXV/mrfvr0k6e2339Y333yjpUuXauPGjfLw8NCzzz5reH5/ZJkA9/PPP6tx48b2Pz/88EN17txZYWFheuCBB7Rnzx77uWvXrtV9992n0NBQPfLIIzp%2B/LjDvT7//HN1795drVu3Vu/evbVp0yZJ0vHjx9W%2BfXu9%2BuqrkqTS0lI98MADevzxx837QgEAgKkOHjyolJQUPfHEE/L09FRAQIBGjhypBQsWlDk3MzNTv/76q2699dZy7/XJJ59o%2BPDhuvHGG1WjRg0988wz%2Bvrrr5WZmVmhc7bse%2BA%2B//xzffTRR/Lw8FBsbKxeffVVzZs3T/v27VNcXJxefvllde3aVV999ZViY2PVo0cPSdKGDRs0ceJEvf3222rVqpW%2B/vprxcTEaMmSJQoODtZrr72moUOHqlOnTlq/fr2OHz%2Bud955x%2Bl5ZWdnKycnx2HMr2FD%2Bfv4VOjXjwrUpInjn6jaateu7BngYoKDHf9E1bVjR%2BV97qvwHrhyv//6%2Bcnf3/%2BS16anp8vHx0d16tSxjwUFBSkrK0snT55UzZo17eM7d%2B6Ut7e3xo4dq507d8rX11cPP/yw%2Bvbtq1OnTumXX35RSEiI/XxfX1/VqlVLe/bsUUBAQAV8pedYNsANHDhQfn5%2BkqQuXbpo9uzZkqRVq1apWbNm9sDWsWNHdejQwX7dRx99pL///e9q06aNJKlDhw6KjIzUokWL9NxzzykiIkJDhw7VmDFjdPLkSS1cuFA1atRwel6LFy9WYmKiw9jouDjFxMUZ%2Bnphgo8/ruwZAH8es2ZV9gxwKb99D60UVyHAlfv9d/RoxcTEXPLa/Px8eXp6Ooyd/7igoMAhwBUXFys0NFRjx45VcHCwkpOTFRMTI29vb4WFhUmSvLy8HO7l4eGh/Pz8K/q6LsSyAc7X19f%2Bd1dXV9lsNknSkSNHyrxPrkGDBvZt1EOHDiklJUULFy60Hz9z5oxuu%2B02%2B8f9%2B/fXO%2B%2B8o7CwMDW5zFYmOjpakZGRDmN%2B3btL779/WfeBiZo0ORfe%2BveX0tIqeza4FBq4qi04%2BFx4e/RRKT29smeDa0i533%2BdDKleXl4qLCx0GDv/sbe3t8N4r1691KtXL/vHd911l3r16qV///vfuuOOOxyuPa%2BoqKjMfYyybIC7kLp16%2Bqrr75yGPvll1/k7u5uP96rVy%2BNGDHCfjwrK0seHh72j5977jm1a9dOO3fu1Mcff6z%2B/fs7/fn9/f3L1rX791/%2BFwLzpaVJqamVPQtcyu/%2B4w1VWHp65W7RoWq7Cg1cud9/nRQcHKwTJ04oNzfXXhDt3btXdevW1fXXX%2B9wblJSkry9vdWlSxf7WHFxsdzd3VWrVi3VqVNHGRkZ9m3UnJwcnThxwmFbtSJY5iEGZ/Xo0UM//fSTlixZotLSUm3atEn/%2Bc9/7Mf79eunDz74QDt%2B%2Bz%2BWnTt3qnfv3vrss88kSe%2B//752796tKVOm6MUXX9TUqVOVzn9FAgDwpxUYGKjWrVvr5ZdfVl5enjIzMzVz5kz17du3zLl5eXmKj4/X7t27dfbsWX311Vf67LPPFB0dLUnq3bu33n77bWVmZiovL08vv/yy2rZtqwYNGlTonP90DVxAQIBmzZqlV155RZMnT1bTpk3VqVMn%2B/F7771XBQUF%2Bsc//qGsrCz5%2BPjo4Ycf1sCBA5WWlqaEhARNnz5dtWvXVlRUlLp27arHH39cSUlJ9hYPAAAYUAV/kO/06dP14osvKioqStWqVVOvXr00cuRISVJYWJheeOEF9ejRQw899JAKCgo0evRoHT16VAEBAZo6darCw8MlSaNGjVJpaakefPBB5efnKyIiQv/85z8rfL4utvNvHsPV4%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%2BjRo3ruueeUkpKi6tWrq0ePHnrqqafk6lo2Ki1cuFDz589Xdna2/P39NWjQID344IOSpLNnz6p169ay2WxycXGxX/PNN9/Iy8urwuZLgAMAAOaqgg3cmDFjVKdOHW3cuFG5ubl67LHHNH/%2BfA0bNszhvC%2B//FJvvPGG5s6dq5YtW2rbtm0aMWKEfH191blzZ2VkZKikpERbt27Vddddd9XmW/VWEAAAwEQHDx5USkqKnnjiCXl6eiogIEAjR47UggULypx75MgRDR8%2BXKGhoXJxcVFYWJgiIiK0ZcsWSdLOnTvVuHHjqxreJBo4AABgtqvQwGVnZysnJ8dhzM/PT/7%2B/pe8Nj09XT4%2BPqpTp459LCgoSFlZWTp58qRq1qxpHz%2B/VXre0aNHtWXLFk2YMEHSuQB3%2BvRp9enTR4cOHVJQUJDGjRunVq1aGfnyyiDAAQAAc12FALd48WIlJiY6jI0ePVoxMTGXvDY/P1%2Benp4OY%2Bc/LigocAhwv5eTk6NHHnlEzZo1U7du3SRJHh4eatGiheLi4lSrVi0tWLBAQ4cO1YoVKxQQEHAlX1q5CHAAAMDyoqOjFRkZ6TDm5%2Bfn1LVeXl4qLCx0GDv/sbe3d7nXbNu2TXFxcQoPD9eUKVPsDzs8/fTTDucNHTpUy5Yt04YNGzRgwACn5uMMAhwAADDXVWjg/P39ndouLU9wcLBOnDih3Nxc%2Bfr6SpL27t2runXr6vrrry9zflJSkl566SXFxsZqyJAhDsfefPNNde7cWbfeeqt9rLi4WO7u7lc0twvhIQYAAHBNCwwMVOvWrfXyyy8rLy9PmZmZmjlzpvr27Vvm3NWrV2vSpEmaMWNGmfAmST/99JMmT56snJwcFRcXKzExUXl5eerUqVOFzpkABwAAzFWtWsW/DJo%2BfbpKS0sVFRWlfv36qV27dho5cqQkKSwsTCtWrJAkJSYm6syZM4qNjVVYWJj99fzzz0uSpkyZogYNGqhnz56KiIhQSkqK3nvvPfn4%2BBie4%2B%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%2B7dFRoaqi5dumj9%2BvUOx%2BfOnav27dsrNDRUAwcO1L59%2Byp8vgQ4AABgrmrVKv5l0JgxY%2BTl5aWNGzcqKSlJ3333nebPn1/mvAMHDigmJkZxcXH6/vvvFRMTozFjxujIkSOSpOXLl%2BvDDz/UvHnzlJycrKZNmyo2NlY2m83wHH%2BPAAcAAK5pBw8eVEpKip544gl5enoqICBAI0edqlhFAAAgAElEQVSO1IIFC8qcu3z5coWHh6tjx45ydXVV165d1aZNGy1evFiStGTJEvXv31/BwcFyd3fXuHHjlJWVpeTk5AqdM%2B%2BBM4Ovb2XPABdTu/b//cn/VlVfbm5lzwAXc/z4//3J/1a4kKvwHrjs7Gzl5OQ4jPn5%2Bcnf3/%2BS16anp8vHx0d16tSxjwUFBSkrK0snT55UzZo17eMZGRkKCQlxuL5Ro0ZKS0uzHx8%2BfLj9mJubmwIDA5WWlqbbbrvtir628hDgAACAqWxyqfB7Ll68WImJiQ5jo0ePVkxMzCWvzc/Pl6enp8PY%2BY8LCgocAlx553p4eKigoMCp4xWFAAcAACwvOjpakZGRDmN%2Bfn5OXevl5aXCwkKHsfMfe3t7O4x7enqqqKjIYayoqMh%2B3qWOVxQCHAAAMNXZsxV/T39/f6e2S8sTHBysEydOKDc3V76/vZVm7969qlu3rq6//nqHc0NCQrRr1y6HsYyMDDVr1sx%2Br/T0dHXo0EGSVFJSogMHDpTZdjWKhxgAAICpzp6t%2BJcRgYGBat26tV5%2B%2BWXl5eUpMzNTM2fOVN%2B%2Bfcuc26NHD6WkpGjVqlUqLS3VqlWrlJKSop49e0qS%2BvTpo48%2B%2BkhpaWk6ffq0Xn/9dfn6%2Bio8PNzYJP%2BAAAcAAK5506dPV2lpqaKiotSvXz%2B1a9dOI0eOlCSFhYVpxYoVks493PDWW29p9uzZatOmjWbOnKkZM2aoYcOGkqS%2Bffvq4Ycf1qhRo3Tbbbdp9%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%2B6t27t0aOHKlq1c5tfnbp0kVZWVn2jyUpKSlJQUFBTs2HAAcAAExlxQYuPj5ehw8f1urVq3XmzBmNGTNGCQkJmjhxYplzf/jhBz355JP65z//qbvvvlv79%2B/X8OHD5eXlpSFDhigvL0/79%2B/X2rVrVb9%2B/SuaD%2B%2BBAwAApjp7tuJfV1NhYaFWrlyp2NhY%2Bfj46IYbbtD48eO1bNkyFRYWljn/0KFDeuCBB9ShQwdVq1ZNQUFB6tSpk7Zs2SLpXMDz8fG54vAm0cABAIA/gezsbOXk5DiM%2Bfn5yd/f36nri4qKdOTIkXKPFRYWqqSkRCEhIfaxoKAgFRUV6cCBA7rlllsczu/cubM6d%2B7scO%2BvvvpK3bt3lyTt3LlTnp6eGjBggNLT01W/fn3FxMSoQ4cOTs1VIsABAACTXY3GbPHixUpMTHQYGz16tGJiYpy6fvv27Ro0aFC5x%2BLi4iRJXl5e9jFPT09JUn5%2B/kXvm5eXp7i4OHl4eOjhhx%2BWJLm4uKh58%2BZ6/PHHVa9ePX3xxReKiYnRRx99pNDQUKfmS4ADAACWFx0drcjISIcxPz8/p6%2BPiIjQnj17yj22e/duTZs2TYWFhfaHFs5vndaoUeOC99y3b59iY2N1ww036IMPPrCfO2zYMIfzevTooc8%2B%2B0yrV68mwAEAgKrpajRw/v7%2BTm%2BXXq6GDRvKzc1NGRkZatmypSRp7969cnNzU2BgYLnXbNiwQY8//rj69euncePGydX1/yLXvHnzdOutt%2Br222%2B3jxUXF8vd3d3pOfEQAwAAMJXVHmLw9PRUly5dlJCQoGPHjunYsWNKSEhQt27d5OHhUeb8bdu2adSoUZowYYKeeuoph/AmSYcPH9YLL7ygzMxMlZaWKikpSampqfrb3/7m9JwIcAAAAJcwceJEBQYGqnv37rr33nt100036fnnn7cfv%2B%2B%2B%2BzRr1ixJ0qxZs1RaWqrJkycrLCzM/jq/dfrkk0%2Bqffv26t%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%2Bd%2B5ctW/fXqGhoRo4cKD27dt3WfO57AC3fv169e/fXw0bNtS//vUvbd26VbNmzVJmZqZ69eqlI0eOXO4tr6p33nlHjz76aGVPAwAAWFh8fLwOHz6s1atXa82aNTp8%2BLASEhIueP7OnTsVHx%2Bv1NRU%2Bys6OlqStHz5cn344YeaN2%2BekpOT1bRpU8XGxspmszk9n8sKcMXFxXr22Wf1yCOPaOzYsapTp45cXFwUFBSk6dOnq27dupoyZYqWLVumfv366fnnn1erVq101113aebMmfaJFRcXa9q0aYqKilLbtm01fPhwHTx40P55GjdurJdeekkRERF69NFHZbPZNGfOHHXv3l3h4eFq06aNxo0bp6KiIklSaWmppk2bprvvvlutWrXSgw8%2BqLS0NEnSwIEDNWPGDEnS2bNnNWfOHHXs2FGtW7dW3759tXHjRvvnjYyM1OzZs9WrVy%2BFhYWpV69e2rx58%2BUsEQAAuASrNXCFhYVauXKlYmNj5ePjoxtuuEHjx4/XsmXLVFhYWOb84uJi/fTTT2rWrFm591uyZIn69%2B%2Bv4OBgubu7a9y4ccrKylJycrLTc7qsAJeamqrc3Fz16tWr7I2qVVPfvn315Zdf6syZM9q%2Bfbs8PT313Xff6e2339b777%2BvpKQkSdKbb76pr776SvPnz9fGjRvVsmVLDRkyRKdPn7bf73//%2B5%2B%2B%2Buorvfrqq/r3v/%2BtDz74QDNmzND333%2BvRYsWadOmTVq5cqUk6e2339Znn32mefPmacuWLWrbtq0eeeQRnTlzxmGOb731lhYsWKBp06YpOTlZQ4YM0ciRI7Vjxw77OUuXLtW0adP07bffqkmTJpo0adLlLBEAALiEqhjgioqKdPDgwQu%2BSkpKFBISYj8/KChIRUVFOnDgQJl7paWlqbS0VNOnT9cdd9yhzp07a86cOTr720QzMjIc7uXm5qbAwEB7%2BeSMy3oKNTs7W5Lk6%2Btb7nF/f3%2BVlJTo%2BPHj8vHx0fjx4%2BXm5qbmzZsrOjpaK1asUN%2B%2BfbVo0SJNnz5dAQEBkqRRo0ZpyZIl%2Buqrr9S5c2dJUrdu3eTp6SlPT0%2B1b99erVq1Ut26dXXs2DH7/c9v1y5fvlyPPPKIGjVqJEl67LHHdPfdd5epIpcuXaoRI0aoadOmkqSuXbtq9erVSkpKUosWLSRJffv21c033yxJ6t69uz799NPLWSJlZ2crJyfHYcwvIED%2BtWtf1n1gouBgxz9RtR0/XtkzwMU0aeL4J6qu1NTKnkGFKvf7r5%2Bf/P39nbp%2B%2B/btGjRoULnH4uLiJEleXl72MU9PT0kq931wp06dUtu2bTVw4EC98cYb%2BvHHHzVq1ChVq1ZNw4YNU35%2Bvv368zw8PFRQUODUXKXLDHB%2Bfn6SpKysLAUGBpY5/vPPP8vNzU21a9dW/fr15ebmZj924403avXq1Tp27JgKCgoUFxenatX%2BrwAsKSnRoUOH7B//fsFtNpvefPNNrV%2B/Xn/5y190yy23qKSkxB7QcnJyVK9ePfv51113nUJDQ8vMLzc31x4az7vpppscEu/vw6mrq%2Btl7UdL0uLFi5WYmOgwNnrkSMX89j8%2BqjAedgEqzscfV/YMcCkuLpX2qa/Glme5339Hj1ZMTIxT10dERGjPnj3lHtu9e7emTZumwsJCeXt7S5J967RGjRplzr/zzjt155132j9u0aKFHnroIa1atUrDhg2Tp6en/W1g5xUVFdnv7YzLCnCtW7eWn5%2BfkpKSNH78eIdjZ86c0bJlyxQZGanq1asrOztbNptNLr/9A/Lzzz%2BrXr16ql27ttzd3fXuu%2B86hKx9%2B/apTp069o9dfvcPVkJCgrKysrRu3Tr7QnXv3t1%2B/MYbb9Thw4ftH5eUlOi1117TsGHDHOZYv359ZWZmOoxlZmY6nc6dER0drcjISIcxv4EDpRUrKuxzoIIFB58Lb48%2BKqWnV/ZscCk0cFVbkybnwlv//tJlbAcBRpX7/fe34smohg0bys3NTRkZGWrZsqUkae/evfatzz/68ssvlZubqwceeMA%2BVlxcLA8PD0lScHCw0tPT1aFDB0nncsuBAwcctlUv5bICnJubm6ZMmaKYmBhVr15d/fv3l5%2Bfn/bt26fXX39dv/zyi2bMmKHvvvtOOTk5mjNnjoYMGaIff/xRn3zyiSZNmmR/r9zrr7%2Bu1157Tf7%2B/vrXv/6lZ555RklJSbr11lvLfN68vDy5u7urevXqOn36tBYsWKCffvrJ/oX37t1b8%2BbNU5s2bRQQEKDZs2fryy%2B/1BNPPOFwn/vvv19z5sxRaGiomjRpojVr1mjdunV69913L2cZLsrf379sIMzMPPdC1ZaeLv3u/ZCoonJzK3sGcEZa2p9uiw4V52o0cOV%2B/60gnp6e6tKlixISEjRt2jRJ58qlbt262UPZ79lsNk2ZMkU333yzbrvtNm3btk0ffPCBJkyYIEnq06ePZsyYofbt26thw4Z688035evrq/DwcKfndNm/iaFdu3ZatGiRZs%2BerT59%2BigvL0%2B%2Bvr6KiorS5MmT9Ze//EXSudT7888/66677pK3t7fi4uLUtWtXSdJTTz2lGTNmqH///jpx4oQCAgI0ffr0csObJI0ZM0YTJkzQHXfcIS8vL7Vu3Vo9e/bUTz/9JOncz3orLS3V0KFD9euvv6p58%2BaaO3euwxauJA0ePFhnz57V2LFjlZOTo5tvvllvvPGG2rZte7nLAAAArpAVfxPDxIkTNXXqVHXv3l0lJSWKiorSc889Zz9%2B3333qXv37nr00UfVqVMnTZgwQZMmTdKRI0fk6%2BurmJgY9ezZU9K599ufOnVKo0aN0rFjx9S8eXPNnj27TG65GBfb5b7JywnLli1TYmKi1q1bV9G3tqYKqnBxlbRoIa1dK0VF0cBZAQ1c1RYWJm3dKrVqRQNnBRUfAZzyzDMVf8/Jkyv%2BnlUZvwsVAACYyooNXFXD70IFAACwmKvSwPXu3Vu9e/e%2BGrcGAAAWRwNnHFuoAADAVAQ449hCBQAAsBgaOAAAYCoaOONo4AAAACyGBg4AAJiKBs44AhwAADAVAc44tlABAAAshgYOAACYigbOOBo4AAAAi6GBAwAApqKBM44ABwAATEWAM44tVAAAAIuhgQMAAKaigTOOBg4AAMBiaOAAAICpaOCMI8ABAABTEeCMYwsVAADAYmjgAACAqWjgjKOBAwAAsBgaOAAAYCoaOOMIcAAAwFQEOOPYQgUAALAYGjgAAGAqGjjjCHAAAMBUBDjj2EIFAACwGBo4AABgKho442jgAAAALIYGDgAAmIoGzjgCHAAAMBUBzji2UAEAACyGBg4AAJiKBs44GjgAAACLoYEDAACmooEzjgAHAABMRYAzji1UAAAAi6GBAwAApqKBM44GDgAAwGJo4AAAgKlo4IwjwAEAAFMR4IxjCxUAAMBiaOAAAICprNjAFRQUKD4%2BXuvWrVNpaamioqI0ceJEeXt7lzn3%2Beef18qVKx3GioqKdMcdd2jevHk6e/asWrduLZvNJhcXF/s533zzjby8vJyaDw0cAADAJcTHx%2Bvw4cNavXq11qxZo8OHDyshIaHcc1988UWlpqbaXzNmzFDNmjX19NNPS5IyMjJUUlKilJQUh/OcDW8SAQ4AAJjs7NmKf11NhYWFWrlypWJjY%2BXj46MbbrhB48eP17Jly1RYWHjRa48dO6bx48frmWeeUXBwsCRp586daty4sa677rornhNbqAAAwFRXI3BlZ2crJyfHYczPz0/%2B/v5OXV9UVKQjR46Ue6ywsFAlJSUKCQmxjwUFBamoqEgHDhzQLbfccsH7JiQkqFmzZurRo4d9bOfOnTp9%2BrT69OmjQ4cOKSgoSOPGjVOrVq2cmqtEgAMAAH8CixcvVmJiosPY6NGjFRMT49T127dv16BBg8o9FhcXJ0kOW5yenp6SpPz8/AveMzMzUytWrNAnn3ziMO7h4aEWLVooLi5OtWrV0oIFCzR06FCtWLFCAQEBTs2XAAcAAEx1NRq46OhoRUZGOoz5%2Bfk5fX1ERIT27NlT7rHdu3dr2rRpKiwstD%2B0cH7rtEaNGhe859KlSxUWFlamoTv/Xrjzhg4dqmXLlmnDhg0aMGCAU/MlwAEAAMvz9/d3erv0cjVs2FBubm7KyMhQy5YtJUl79%2B6Vm5ubAgMDL3jdmjVrNGTIkDLjb775pjp37qxbb73VPlZcXCx3d3en58RDDAAAwFRWe4jB09NTXbp0UUJCgo4dO6Zjx44pISFB3bp1k4eHR7nXHD9%2BXHv37lWbNm3KHPvpp580efJk5eTkqLi4WImJicrLy1OnTp2cnhMBDgAAmMpqAU6SJk6cqMDAQHXv3l333nuvbrrpJj3//PP24/fdd59mzZpl//jnn3%2BWJNWpU6fMvaZMmaIGDRqoZ8%2BeioiIUEpKit577z35%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%2Bu%2B%2B%2B/X2FhYYqMjNQnn3zicHz58uXq1KmTQkND1bt3b6Wmpl7WPAhwAAAATkhPT9eDDz6obdu2XfS8X3/9VSNGjFCvXr20ZcsWTZ48WVOmTNGOHTskScnJyYqPj9crr7yiLVu2qEePHnrsscdUWFjo9FwIcAAAwFRWbOC%2B%2B%2B47PfTQQ/rb3/6mevXqXfTcNWvWyMfHRw8%2B%2BKBcXV11%2B%2B23q3v37lqwYIEk6ZNPPtF9992n1q1by83NTQ8//LBq166tVatWOT0fHmIAAACmuhqBKzs7Wzk5OQ5jfn5%2B8vf3d%2Br6oqIiHTlypNxjfn5%2BatKkidavXy93d3e99957F71Xenq6QkJCHMYaNWqkpKQkSVJGRob69OlT5nhaWppTc5UIcOb4wz9QqFqys7O1eMYMRS9c6PS/6ADKZ//36Ysv%2BPcJF2SzVfw9Z8xYrMTERIex0aNHKyYmxqnrt2/frkGDBpV77K233lLHjh2dnkt%2Bfr48PT0dxjw8PFRQUODUcWcQ4HDNy8nJUWJioiIjI/mGAxjEv0%2BoLNHR0YqMjHQY8/Pzc/r6iIgI7dmzp0Lm4unpqVOnTjmMFRUVydvb2368qKiozPHatWs7/TkIcAAAwPL8/f2rzH80hISE6JtvvnEYy8jIUHBwsCQpODhY6enpZY63b9/e6c/BQwwAAAAVqFOnTsrNzdX8%2BfNVUlKizZs3a%2BXKlfb3vfXt21crV67U5s2bVVJSovnz5%2Bvo0aPq1KmT05%2BDAAcAAGDQfffdp1mzZkmSateurXfffVdffPGFIiIi9Oyzz%2BrZZ5/VbbfdJkm6/fbbNXHiRE2aNElt27bV559/rrlz58rHx8fpz%2Bdis12NtxIC1pGdna3FixcrOjq6ytTvgFXx7xNgDgIcAACAxbCFCgAAYDEEOAAAAIshwAEAAFgMAQ4AAMBiCHAAAAAWQ4ADAACwGAIcAACAxRDgAAAALIYABwAAYDEEOAAAAIshwAG/U1xcXNlTAADgkghwuCaNGzdOhYWFDmN79%2B7V/fffX0kzAqwrOTlZXbt21a233qpbbrnF4QXg6nCt7AkAleHQoUPq3bu3pk%2BfruDgYC1cuFBTp05V165dK3tqgOW88soratmypZ599lm5uvJtBTCDi81ms1X2JACznTlzRtOmTdNHH32kpk2bav/%2B/XrxxRcVGRlZ2VMDLCcsLEybN2%2BWu7t7ZU8FuGawhYprUvXq1RUZGamaNWsqNTVVLVq0UOvWrSt7WoAlBQYGKjs7u7KnAVxTCHC4Jr322msaOHCg/va3v2ndunUqLS1Vt27dtGHDhsqeGmA5Xbp00bBhwzR37lx9%2BumnDi8AVwdbqLgm3X333XrttdfUtm1b%2B9j777%2BvN954Q9u3b6/EmQHWc6G3Hri4uGjt2rUmzwa4NhDgcE06ceKEfHx8yoynpaWpSZMmlTAjAACcR4DDNWvv3r1auHChfvnlF8XHx%2Bvzzz/XgAEDKntagCX98MMPSkpK0qFDh%2BTn56fevXsrPDy8sqcF/GnxHjhck7755hvdf//9On78uL799lsVFRXprbfe0pw5cyp7aoDlbNq0Sf3799eJEyfUuHFj5eXlafDgwfryyy8re2rAnxYNHK5Jffr0UWxsrO6%2B%2B261adNGW7Zs0c6dOzVmzBjeswNcpn79%2Bmnw4MHq0qWLfezf//635s6dq2XLllXizIA/Lxo4XJMOHjyo9u3bSzr3RmtJat68uX799dfKnBZgSfv371fnzp0dxjp37qwDBw5UzoSAawABDtekevXqaevWrQ5jO3fu1I033lhJMwKsy8fHRz/99JPDWFpamvz8/CppRsCfX/VJkyZNquxJAGarWbOmnnjiCeXl5Sk1NVXVq1fXlClTNGrUKJ5CBS5TUVGRXnnlFXl4eOjEiRPatGmT4uPjFR0dzQ/IBq4S3gOHa9aGDRu0YMECHTp0SHXr1lW/fv3KbAMBuDSbzabExEQtW7ZMubm5ql%2B/vu6//34NHjxY1aqx0QNcDQQ4AAAAi3Gt7AkAZpowYcIlz5kyZYoJMwGsb86cORoxYoQSExMveM7o0aNNnBFw7SDA4Zp0/Phxbdy4UR06dFBAQICOHDmi//znP/p//%2B//VfbUAMvYsmWLRowYoeTk5HKPn3/CG0DFYwsV16RHH31U999/v6KiouxjmzZt0qxZ/7%2B9%2BwmJqnvAOP74p9dKKxU1RxGxIEKkTdk/ClNBKhl0zLAyWoQQolBIIQjRIiVKKpLIFiVFkS4syyAXaYXSIoQ0ITJdFI1ZetP%2BYAozOr07YX5vwe91Xr3Mne9nee5dPJsLD%2Bfcc85V3b5928RkgH/69euXPB6PQkJCZBiGoqOjFRISYnYswLL4uxQB6cWLF8rMzPQa27Jli16/fm1SIsB/9ff3Kysra/b7uXbtmnJycvTu3TuTkwHWRYFDQEpMTFRbW5vX2L1795ScnGxSIsB/1dTUyOFwKDU1VZJ04sQJORwOnT592uRkgHWxhIqA1NHRoaNHj2rdunWy2WwaGhrSwMCArl69qk2bNpkdD/ArGzZsUHd3t9c/bzMzM9q8ebO6u7tNTAZYFzNwCEjZ2dlqbW3V1q1bFR4eroyMDLW2tlLegDmIiIj4x3Kp0%2BnU8uXLTUoEWB8zcAAAn1y6dEmPHj1SSUmJEhISNDw8rOvXr8tut6usrMzseIAlUeAQkAYHB3Xu3Dm9f/9eHo/H61lHR4dJqQD/NDMzoytXruj%2B/fsyDEM2m00FBQUqKSlhJyowTyhwCEj79%2B/XkiVLtGvXLoWGeh%2BH6HA4TEoFAMD/h4N8EZDevs4GIIoAAAT%2BSURBVH2rzs5ORUREmB0F8Hsul0sPHz7UyMjI7Iy22%2B3WwMCA6uvrTU4HWBMFDgEpLi5OLpfL7BiAJVRVVamrq0tRUVFyu91aunSpBgcHlZ%2Bfb3Y0wLIocAhIBw8eVFlZmQ4dOqSYmBivZ%2Bnp6SalAvxTV1eXGhsbNT4%2BrsbGRp0/f14NDQ3q6%2BszOxpgWRQ4BKTq6mpJUk9Pj9d4UFCQ3rx5Y0YkwG95PB6tWrVKkZGRs99PcXGxGhoaTE4GWBcFDgHl8%2BfPio%2BPV0dHh4KCgvS/e3i4fBv49%2BLj4%2BV0OpWUlKSxsTFNTk4qODhYP3/%2BNDsaYFkUOASU3bt36%2BXLl8rOzv5jWWMGDvh37Ha7Dhw4oObmZu3YsUOlpaUKCwtTWlqa2dEAy%2BIYEQSUT58%2ByWaz6ePHj398JzExcQETAdbQ1tamjIwMeTwe1dbWamJiQseOHVNSUpLZ0QBLosABAHxSWlqq2tpajuUBFhB3oQIAfNLT06O//vrL7BhAQGEGDgDgk%2Brqag0NDclutys2Ntbr/1KO5QHmBwUOAOCTtWvX/nacY3mA%2BUOBAwAA8DP8AwcA8JnL5dLjx49148YNTU1Nqb%2B/3%2BxIgKVxDhwAwCcfPnzQ4cOH5Xa79ePHD2VkZGjPnj26fPmyMjMzzY4HWBIzcAAAn9TU1KigoEDPnj1TaGioUlJSVF1drbq6OrOjAZZFgQMA%2BKS3t1clJSUKCgqa3YGal5cnp9NpcjLAuihwAACfLFu2TF%2B%2BfPEaMwxDK1asMCkRYH0UOACAT%2Bx2u8rLy/X8%2BXN5PB719fXp%2BPHjys3NNTsaYFkcIwIA8Inb7daFCxfU1NSkqakphYWFqbCwUJWVldzQAMwTChwA4D8zPj6uqKgor9sYAPz3OEYEAOCzu3fv6sGDBzIMQwkJCdq7d6927txpdizAsihwAACf1NfX6%2BbNmyoqKpLNZpPT6dSpU6f07ds37du3z%2Bx4gCWxhAoA8Mn27dtVX1%2BvtLS02bG%2Bvj5VVFSovb3dxGSAdbELFQDgk8nJSa1Zs8ZrLDU1VRMTEyYlAqyPAgcA8Elubq4uXryomZmZ2bGGhgbl5OSYmAqwNpZQAQA%2BKSoq0qtXrxQVFaXExESNjo5qdHRUcXFxWrRo0ex7HR0dJqYErIUCBwDwSUtLi6anp/X161dFR0crJCTkt%2B85HI4FTgZYF7tQAQBzZhiGOjs71d7erunpaYWGhiorK0tVVVVauXKl2fEAy2IGDgAwJ9%2B/f1d%2Bfr7i4%2BNVWFiouLg4OZ1OtbS0aGRkRK2trYqMjDQ7JmBJFDgAwJycPXtWQ0NDqqur87p5wePxqLy8XMnJyaqsrDQxIWBd7EIFAMzJkydPVFFR8Y9rs4KDg1VRUcGmBWAeUeAAAHNiGIZSUlJ%2B%2B2z16tUyDGOBEwGBgwIHAJiTsLCwP5Y0wzAUHh6%2BwImAwEGBAwDMSXp6uu7cufPbZ42Njdq4ceMCJwICB8eIAADm5MiRIyouLtbixYuVl5enmJgYDQ8Pq7m5Wbdu3VJTU5PZEQHLYhcqAGDOnj59qpMnT2psbGx2LCYmRmfOnNG2bdtMTAZYGwUOAOATl8ul3t5ejY6OKjY2VuvXr1doKAs8wHyiwAEAAPgZNjEAAAD4GQocAACAn6HAAQAA%2BBkKHAAAgJ%2BhwAEAAPgZChwAAICfocABAAD4GQocAACAn/kbiNHjKk/zDbYAAAAASUVORK5CYII%3D\" class=\"center-img\">\n",
       "    <img 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IcAACwvMzMTP32228uj9IPEq%2BIjh076r///W%2B5n3V5utTUVAUFBbmMNW/e3Pk90X/d7u7uLn9/f%2Bf2ysIH%2BZqBT2S/uDVrJu3YIQUGSrt3V/VsAGvj9WQtVfVRsBfg72LCjBmKj493GRs9erRiYmIqdLyvr2%2BF9jt%2B/LhsNpvLmKenp/Ly8iq0vbIQ4AAfH6l69VP/BGAMrydUkejoaEVERLiMVTSUnQ%2BbzaaCggKXsYKCAud3Sp9re2UhwAEAAHNVq/w7uPz8/OTn51fp5/2roKAg/fbbby5jqampatOmjSQpMDBQO3bsUJcuXSRJRUVF2rNnT5llV6O4Bw4AAKCC%2BvTpo6SkJK1cuVLFxcVauXKlkpKS1LdvX0nSgAEDtGjRIqWkpOjEiRN67bXXVK9ePYWFhVXqPGjgAACAuS5AA3ch2e12vfDCC%2BrTp48CAgI0a9YsxcXF6emnn1ajRo00c%2BZMNWvWTJIUFRWlY8eO6aGHHtLBgwfVtm1bzZ07V%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%2BXqNHj5YkbdmyRY0aNar0wPZXF98VBAAAMNHevXuVlJSkxx57TDabTU2aNNGoUaO0ePHisx63a9cuTZw4UXFxcfLz85N0KsC1adPmgs%2BZBg4AAJjrAjRwmZmZysrKchnz9fV1Bquz2bFjh3x8fFS/fn3nWEBAgNLT03X06FHVrl273ONeeOEF9evXT2FhYc6xLVu26MiRI%2Brdu7eys7PVtm1bPfHEE2revPnffGblI8ABAABzXYAAl5CQoPj4eJex0aNHKyYm5pzHHj9%2BXDabzWWs9Oe8vLxyA9xPP/2kzZs3Ky4uzmW8du3aat68uUaOHKmaNWtq%2BvTpuvfee7Vy5UpdccUV5/u0zogABwAALC86OloREREuY76%2BvhU61svLS/n5%2BS5jpT97e3uXe0xCQoJ69uxZ5ne89tprLj%2BPHz9eS5cu1U8//aQuXbpUaD4VQYADAADmugANnJ%2BfX4WWS8sTGBiow4cPKzs7W/Xq1ZMk7dy5Uw0aNCi3NSsuLtaXX36pWbNmuYzn5uZq1qxZGjJkiBo1aiRJOnnypIqLi%2BXp6fm35nYmvIkBAABc1vz9/RUaGqrJkycrNzdXaWlpmj17tqKiosrdf9u2bTpx4oRCQkJcxmvVqqXvv/9eU6dO1bFjx3T8%2BHFNnDhRjRs3drlPrjIQ4AAAgLmqVav8h0EzZsxQcXGxunbtqoEDB6pTp04aNWqUJMlut%2BuTTz5x7puWlqYrr7xSHh4eZc4ze/ZslZSUqFu3burUqZOysrI0f/58ubu7G57j6dwcDoejUs%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%2B1KT08/72OffPJJPfnkkxdgVgAA4FKQk5OjUaNGKSwsTOHh4Zo0aZKKi4vL3XfEiBFq27at7Ha78/H1119Lkk6ePKmpU6fqxhtvlN1u14MPPqjMzMxKn69lAlzDhg2VnJyshg0bVvVUAACAEdWqVf7DoLFjx8rLy0vffPONEhMT9cMPP2jhwoXl7vvrr79qwYIFSk5Odj46d%2B4sSXrjjTf03XffaenSpfrmm2/k6empZ555xvD8/soyAW7fvn1q0aKF85/vvvuuevToIbvdrjvvvFPbtm1z7vvll1/qtttuU3BwsB544AEdOnTI5VyfffaZIiMjFRoaqv79%2B%2Bvbb7%2BVJB06dEidO3fWK6%2B8IkkqLi7WnXfeqUceecS8JwoAAEy1d%2B9eJSUl6bHHHpPNZlOTJk00atQoLV68uMy%2BaWlpOnLkiFq1alXuuT788EONHDlSV199tWrVqqWnn35aX3/9tdLS0ip1zpa9B%2B6zzz7TokWL5OnpqTFjxuiVV17RggULtGvXLsXGxmry5Mnq1auX1q5dqzFjxqhPnz6SpHXr1mnChAl64403FBISoq%2B//loxMTFasmSJAgMD9eqrr2r48OHq3r271qxZo0OHDunNN9%2Bs8LwyMzOVlZXlMubbrJn8fHwq9fmjErVs6fpPAH8fryfrSE6uut99Ae6BK/fvr6%2Bv/Pz8znnsjh075OPjo/r16zvHAgIClJ6erqNHj6p27drO8S1btsjb21sPP/ywtmzZonr16umee%2B5RVFSUjh07pj///FNBQUHO/evVq6crr7xS27ZtU5MmTSrhmZ5i2QA3dOhQ%2Bfr6SpJ69uypuXPnSpJWrlypNm3aOANbt27d1KVLF%2BdxixYt0l133aX27dtLkrp06aKIiAh98MEHevbZZxUeHq7hw4dr7NixOnr0qN5//33VqlWrwvNKSEhQfHy8y9jo2FjFxMYaer4wwXvvVfUMgEsHr6eLn5tb1f3uCxDgyv37O3q0YmJiznns8ePHZbPZXMZKf87Ly3MJcIWFhQoODtbDDz%2BswMBArV%2B/XjExMfL29pbdbpckeXl5uZzL09NTx48f/1vP60wsG%2BDq1avn/M81atSQw%2BGQJGVkZJS5T65p06bOZdT9%2B/crKSlJ77//vnP7yZMndf311zt/HjRokN58803Z7Xa1PM//FxkdHa2IiAiXMd/ISOntt8/rPDBRy5an/tgMGiSlpFT1bABr4/WEKlLu39//FT3n4uXlpfz8fJex0p%2B9vb1dxvv166d%2B/fo5f%2B7YsaP69eunzz//XDfeeKPLsaUKCgrKnMcoywa4M2nQoIHWrl3rMvbnn3/Kw8PDub1fv366//77ndvT09Pl6enp/PnZZ59Vp06dtGXLFr333nsaNGhQhX%2B/n59f2bp29%2B7zfyIwX0pK1S4pAJcSXk84mwvQwJX797eCAgMDdfjwYWVnZzsLop07d6pBgwa64oorXPZNTEyUt7e3evbs6RwrLCyUh4eHrrzyStWvX1%2BpqanOZdSsrCwdPnzYZVm1MljmTQwV1adPH23fvl1LlixRcXGxvv32W/33v/91bh84cKDeeecd/fLLL5JOrWX3799fn376qSTp7bff1tatWzVlyhS9%2BOKLmjp1qnbs2FElzwUAAFx4/v7%2BCg0N1eTJk5Wbm6u0tDTNnj1bUVFRZfbNzc3VxIkTtXXrVpWUlGjt2rX69NNPFR0dLUnq37%2B/3njjDaWlpSk3N1eTJ09Whw4d1LRp00qd8yXXwDVp0kRz5szRyy%2B/rEmTJql169bq3r27c/utt96qvLw8PfXUU0pPT5ePj4/uueceDR06VCkpKYqLi9OMGTNUp04dde3aVb169dIjjzyixMREZ4sHAAAMuAg/yHfGjBl68cUX1bVrV1WrVk39%2BvXTqFGjJEl2u10vvPCC%2BvTpo7vvvlt5eXkaPXq0cnJy1KRJE02dOlVhYWGSpIceekjFxcUaPHiwjh8/rvDwcP3rX/%2Bq9Pm6OUpvHsOFU5U3iuLc7HZp40YpJIQlH8AoXk/WUlURYMqUyj/n%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%2BDBgyVJJSUlCg0NlcPhkJubm/OY7777Tl5eXpU2XwIcAAAw10XYwI0dO1b169fXN998o%2BzsbD344INauHChRowY4bLf6tWr9frrr2v%2B/Plq166dNm3apPvvv1/16tVTjx49lJqaqqKiIm3cuFE1a9a8YPO9%2BK4gAACAifbu3aukpCQ99thjstlsatKkiUaNGqXFixeX2TcjI0MjR45UcHCw3NzcZLfbFR4erg0bNkiStmzZohYtWlzQ8CbRwAEAALNdgAYuMzNTWVlZLmO%2Bvr7y8/M757E7duyQj4%2BP6tev7xwLCAhQenq6jh49qtq1azvHS5dKS%2BXk5GjDhg0aP368pFMB7sSJExowYID279%2BvgIAAjRs3TiEhIUaeXhkEOAAAYK4LEOASEhIUHx/vMjZ69GjFxMSc89jjx4/LZrO5jJX%2BnJeX5xLgTpeVlaUHHnhAbdq0Ue/evSVJnp6euu666xQbG6srr7xSixcv1vDhw/XJJ5%2BoSZMmf%2BeplYsABwAALC86OloREREuY76%2BvhU61svLS/n5%2BS5jpT97e3uXe8ymTZsUGxursLAwTZkyxflmhyeffNJlv%2BHDh2vZsmVat26dhgwZUqH5VAQBDgAAmOsCNHB%2Bfn4VWi4tT2BgoA4fPqzs7GzVq1dPkrRz5041aNBAV1xxRZn9ExMT9dJLL2nMmDG67777XLZNmzZNPXr0UKtWrZxjhYWF8vDw%2BFtzOxPexAAAAC5r/v7%2BCg0N1eTJk5Wbm6u0tDTNnj1bUVFRZfZdtWqVnn/%2Bec2cObNMeJOk7du3a9KkScrKylJhYaHi4%2BOVm5ur7t27V%2BqcCXAAAMBc1apV/sOgGTNmqLi4WF27dtXAgQPVqVMnjRo1SpJkt9v1ySefSJLi4%2BN18uRJjRkzRna73fl47rnnJElTpkxR06ZN1bdvX4WHhyspKUn//ve/5ePjY3iOp3NzOByOSj0jyjrtg/xwEbLbpY0bpZAQKTm5qmcDWBuvJ2upqgjwww%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%2B%2BXGFhYerWrZtq1KihXr16qX379kpISJAkLVmyRIMGDVJgYKA8PDw0btw4paena/369ZU6Z%2B6BAwAA5roA98BlZmYqKyvLZczX11d%2Bfn7nPHbHjh3y8fFR/fr1nWMBAQFKT0/X0aNHVbt2bed4amqqgoKCXI5v3ry5UlJSnNtHjhzp3Obu7i5/f3%2BlpKTo%2Buuv/1vPrTwEOAAAYCqH3Cr9nAkJCYqPj3cZGz16tGJiYs557PHjx2Wz2VzGSn/Oy8tzCXDl7evp6am8vLwKba8sBDgAAGB50dHRioiIcBnz9fWt0LFeXl7Kz893GSv92dvb22XcZrOpoKDAZaygoMC537m2VxYCHAAAMFVJSeWf08/Pr0LLpeUJDAzU4cOHlZ2drXr16kmSdu7cqQYNGuiKK65w2TcoKEi//faby1hqaqratGnjPNeOHTvUpUsXSVJRUZH27NlTZtnVKN7EAAAATFVSUvkPI/z9/RUaGqrJkycrNzdXaWlpmj17tqKiosrs26dPHyUlJWnlypUqLi7WypUrlZSUpL59%2B0qSBgwYoEWLFiklJUUnTpzQa6%2B9pnr16iksLMzYJP%2BCAAcAAC57M2bMUHFxsbp27aqBAweqU6dOGjVqlCTJbrfrk08%2BkXTqzQ2zZs3S3Llz1b59e82ePVszZ85Us2bNJElRUVG655579NBDD%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%2B/ftr1KhRqlbt1OJnz549lZ6e7vxZkhITExUQEFCh%2BRDgAACAqazYwE2cOFEHDhzQqlWrdPLkSY0dO1ZxcXGaMGFCmX1//fVXPf744/rXv/6lm2%2B%2BWbt379bIkSPl5eWl%2B%2B67T7m5udq9e7e%2B/PJLNWrU6G/Nh3vgAACAqUpKKv9xIeXn52vFihUaM2aMfHx8VLduXT366KNatmyZ8vPzy%2By/f/9%2B3XnnnerSpYuqVaumgIAAde/eXRs2bJB0KuD5%2BPj87fAm0cABAIBLQGZmprKyslzGfH195efnV6HjCwoKlJGRUe62/Px8FRUVKSgoyDkWEBCggoIC7dmzR9dee63L/j169FCPHj1czr127VpFRkZKkrZs2SKbzaYhQ4Zox44datSokWJiYtSlS5cKzVUiwAEAAJNdiMYsISFB8fHxLmOjR49WTExMhY7fvHmzhg0bVu622NhYSZKXl5dzzGazSZKOHz9%2B1vPm5uYqNjZWnp6euueeeyRJbm5uatu2rR555BE1bNhQ//nPfxQTE6NFixYpODi4QvMlwAEAAMuLjo5WRESEy5ivr2%2BFjw8PD9e2bdvK3bZ161ZNnz5d%2Bfn5zjctlC6d1qpV64zn3LVrl8aMGaO6devqnXfece47YsQIl/369OmjTz/9VKtWrSLAAQCAi9OFaOD8/PwqvFx6vpo1ayZ3d3elpqaqXbt2kqSdO3fK3d1d/v7%2B5R6zbt06PfLIIxo4cKDGjRunGjX%2BP3ItWLBArVq10g033OAcKywslIeHR4XnxJsYAACAqaz2JgabzaaePXsqLi5OBw8e1MGDBxUXF6fevXvL09OzzP6bNm3SQw89pPHjx%2BuJJ55wCW%2BSdODAAb3wwgtKS0tTcXGxEhMTlZycrNtvv73CcyLAAQAAnMOECRPk7%2B%2BvyMhI3XrrrWrcuLGee%2B455/bbbrtNc%2BbMkSTNmTNHxcXFmjRpkux2u/NRunT6%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%2BX3W5X9%2B7dNXXqVB0%2BfLiy52fYiBEjNGfOnKqeBgAA%2BJ%2BSksp/XGh5eXkaP368wsPDFRoaqscff1zHjx8/4/4TJkxQmzZtZLfbnY%2BEhATn9vnz56tz584KDg7W0KFDtWvXrvOaz3kHuDVr1mjQoEFq1qyZPv74Y23cuFFz5sxRWlqa%2BvXrp4yMjPM95QX15ptv6p///GdVTwMAAFjYxIkTdeDAAa1atUpffPGFDhw4oLi4uDPuv2XLFk2cOFHJycnOR3R0tCRp%2BfLlevfdd7VgwQKtX79erVu31pgxY%2BRwOCo8n/MKcIWFhXrmmWf0wAMP6OGHH1b9%2BvXl5uamgIAAzZgxQw0aNNCUKVO0bNkyDRw4UM8995xCQkLUsWNHzZ492zmxwsJCTZ8%2BXV27dlWHDh00cuRI7d271/l7WrRooZdeeknh4eH65z//KYfDoXnz5ikyMlJhYWFq3769xo0bp4KCAklScXGxpk%2BfrptvvlkhISEaPHiwUlJSJElDhw7VzJkzJUklJSWaN2%2BeunXrptDQUEVFRembb75x/t6IiAjNnTtX/fr1k91uV79%2B/fTjjz%2BezyUCAADnYLUGLj8/XytWrNCYMWPk4%2BOjunXr6tFHH9WyZcuUn59fZv/CwkJt375dbdq0Kfd8S5Ys0aBBgxQYGCgPDw%2BNGzdO6enpWr9%2BfYXndF4BLjk5WdnZ2erXr1/ZE1WrpqioKK1evVonT57U5s2bZbPZ9MMPP%2BiNN97Q22%2B/rcTEREnStGnTtHbtWi1cuFDffPON2rVrp/vuu08nTpxwnu%2BPP/7Q2rVr9corr%2Bjzzz/XO%2B%2B8o5kzZ%2Bqnn37SBx98oG%2B//VYrVqyQJL3xxhv69NNPtWDBAm3YsEEdOnTQAw88oJMnT7rMcdasWVq8eLGmT5%2Bu9evX67777tOoUaP0yy%2B/OPdZunSppk%2Bfru%2B//14tW7bU888/fz6XCAAAnMPFGOAKCgq0d%2B/eMz6KiooUFBTk3D8gIEAFBQXas2dPmXOlpKSouLhYM2bM0I033qgePXpo3rx5KvnfRFNTU13O5e7uLn9/f2f5VBHn9S7UzMxMSVK9evXK3e7n56eioiIdOnRIPj4%2BevTRR%2BXu7q62bdsqOjpan3zyiaKiovTBBx9oxowZatKkiSTpoYce0pIlS7R27Vr16NFDktS7d2/ZbDbZbDZ17txZISEhatCggQ4ePOg8f%2Bly7fLly/XAAw%2BoefPmkqQHH3xQN998c5kqcunSpbr//vvVunVrSVKvXr20atUqJSYm6rrrrpMkRUVF6ZprrpEkRUZG6qOPPjqfS6TMzExlZWW5jPk2ayY/H5/zOg9M1LKl6z8B/H28nqwjObmqZ1Cpyv376%2BsrPz%2B/Ch2/efNmDRs2rNxtsbGxkiQvLy/nmM1mk6Ry74M7duyYOnTooKFDh%2Br111/X77//roceekjVqlXTiBEjdPz4cefxpTw9PZWXl1ehuUrnGeB8fX0lSenp6fL39y%2Bzfd%2B%2BfXJ3d1edOnXUqFEjubu7O7ddffXVWrVqlQ4ePKi8vDzFxsaqWrX/LwCLioq0f/9%2B58%2BnX3CHw6Fp06ZpzZo1uuqqq3TttdeqqKjIGdCysrLUsGFD5/41a9ZUcHBwmfllZ2c7Q2Opxo0buyTe08NpjRo1zms9WpISEhIUHx/vMjY6NlYx//uXj4vYe%2B9V9QyASwevp4ufm1uV/eoLseRZ7t/f0aMVExNToePDw8O1bdu2crdt3bpV06dPV35%2Bvry9vSXJuXRaq1atMvvfdNNNuummm5w/X3fddbr77ru1cuVKjRgxQjabzXkbWKmCggLnuSvivAJcaGiofH19lZiYqEcffdRl28mTJ7Vs2TJFRESoevXqyszMlMPhkNv//guyb98%2BNWzYUHXq1JGHh4feeustl5C1a9cu1a9f3/mz22n/xYqLi1N6erq%2B%2Buor54WKjIx0br/66qt14MAB589FRUV69dVXNWLECJc5NmrUSGlpaS5jaWlpFU7nFREdHa2IiAiXMd/ISOnttyvtd6CStWx56o/NoEHSedTXAMrB6wlVpNy/v/8rnoxq1qyZ3N3dlZqaqnbt2kmSdu7c6Vz6/KvVq1crOztbd955p3OssLBQnp6ekqTAwEDt2LFDXbp0kXQqt%2BzZs8dlWfVczivAubu7a8qUKYqJiVH16tU1aNAg%2Bfr6ateuXXrttdf0559/aubMmfrhhx%2BUlZWlefPm6b777tPvv/%2BuDz/8UM8//7zzXrnXXntNr776qvz8/PTxxx/r6aefVmJiolq1alXm9%2Bbm5srDw0PVq1fXiRMntHjxYm3fvt35xPv3768FCxaoffv2atKkiebOnavVq1frsccecznPHXfcoXnz5ik4OFgtW7bUF198oa%2B%2B%2BkpvvfXW%2BVyGs/Lz8ysbCHfvrrTz4wJKSbnklhSAKsPrCWdxIRq4cv/%2BVhKbzaaePXsqLi5O06dPl3SqXOrdu7czlJ3O4XBoypQpuuaaa3T99ddr06ZNeueddzR%2B/HhJ0oABAzRz5kx17txZzZo107Rp01SvXj2FhYVVeE7n/U0MnTp10gcffKC5c%2BdqwIABys3NVb169dS1a1dNmjRJV111laRTqXffvn3q2LGjvL29FRsbq169ekmSnnjiCc2cOVODBg3S4cOH1aRJE82YMaPc8CZJY8eO1fjx43XjjTfKy8tLoaGh6tu3r7Zv3y7p1Ge9FRcXa/jw4Tpy5Ijatm2r%2BfPnuyzhStK9996rkpISPfzww8rKytI111yj119/XR06dDjfywAAAP4mK34Tw4QJEzR16lRFRkaqqKhIXbt21bPPPuvcfttttykyMlL//Oc/1b17d40fP17PP/%2B8MjIyVK9ePcXExKhv376STt1vf%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%2B9xzz2nFihUuYwUFBbrxxhu1YMEClZSUKDQ0VA6HQ25ubs59vvvuO3l5eVVoPjRwAAAA5zBx4kQdOHBAq1at0hdffKEDBw4oLi6u3H1ffPFFJScnOx8zZ85U7dq19eSTT0qSUlNTVVRUpKSkJJf9KhreJAIcAAAwWUlJ5T8upPz8fK1YsUJjxoyRj4%2BP6tatq0cffVTLli1Tfn7%2BWY89ePCgHn30UT399NMKDAyUJG3ZskUtWrRQzZo1//acWEIFAACmuhCBKzMzU1lZWS5jvr6%2B8vPzq9DxBQUFysjIKHdbfn6%2BioqKFBQU5BwLCAhQQUGB9uzZo2uvvfaM542Li1ObNm3Up08f59iWLVt04sQJDRgwQPv371dAQIDGjRunkJCQCs1VIsABAIBLQEJCguLj413GRo8erZiYmAodv3nzZg0bNqzcbbGxsZLkssRps9kkScePHz/jOdPS0vTJJ5/oww8/dBn39PTUddddp9jYWF155ZVavHixhg8frk8%2B%2BURNmjSp0HwJcAAAwFQXooGLjo5WRESEy5ivr2%2BFjw8PD9e2bdvK3bZ161ZNnz5d%2Bfn5zjctlC6d1qpV64znXLp0qex2e5mGrvReuFLDhw/XsmXLtG7dOg0ZMqRC8yXAAQAAy/Pz86vwcun5atasmdzd3ZWamqp27dpJknbu3Cl3d3f5%2B/uf8bgvvvhC9913X5nxadOmqUePHmrVqpVzrLCwUB4eHhWeE29iAAAAprLamxhsNpt69uypuLg4HTx4UAcPHlRcXJx69%2B4tT0/Pco85dOiQdu7cqfbt25fZtn37dk2aNElZWVkqLCxUfHy8cnNz1b179wrPiQAHAABMZbUAJ0kTJkyQv7%2B/IiMjdeutt6px48Z67rnnnNtvu%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%2BbNuuOOO2S32xUREaEPP/zQZfvy5cvVvXt3BQcHq3///kpOTj6veRDgAAAAKmDHjh0aPHiwNm3adNb9jhw5ovvvv1/9%2BvXThg0bNGnSJE2ZMkW//PKLJGn9%2BvWaOHGiXn75ZW3YsEF9%2BvTRgw8%2BqPz8/ArPhQAHAABMZcUG7ocfftDdd9%2Bt22%2B/XQ0bNjzrvl988YV8fHw0ePBg1ahRQzfccIMiIyO1ePFiSdKHH36o2267TaGhoXJ3d9c999yjOnXqaOXKlRWeD29iAAAAproQgSszM1NZWVkuY76%2BvvLz86vQ8QUFBcrIyCh3m6%2Bvr1q2bKk1a9bIw8ND//73v896rh07digoKMhlrHnz5kpMTJQkpaamasCAAWW2p6SkVGiuEgHOHA5HVc8AZ5GZmamEmTMV/Z//VPiFDqB8vJ5QERfiz%2BLMmQmKj493GRs9erRiYmIqdPzmzZs1bNiwcrfNmjVL3bp1q/Bcjh8/LpvN5jLm6empvLy8Cm2vCAIcLntZWVmKj49XREQEf3AAg3g9oapER0crIiLCZczX17fCx4eHh2vbtm2VMhebzaZjx465jBUUFMjb29u5vaCgoMz2OnXqVPh3EOAAAIDl%2Bfn5XTT/pyEoKEjfffedy1hqaqoCAwMlSYGBgdqxY0eZ7Z07d67w7%2BBNDAAAAJWoe/fuys7O1sKFC1VUVKQff/xRK1ascN73FhUVpRUrVujHH39UUVGRFi5cqJycHHXv3r3Cv4MABwAAYNBtt92mOXPmSJLq1Kmjt956S//5z38UHh6uZ555Rs8884yuv/56SdINN9ygCRMm6Pnnn1eHDh302Wefaf78%2BfLx8anw73NzOLjDHpe3zMxMJSQkKDo6%2BqKp3wGr4vUEmIMABwAAYDEsoQIAAFgMAQ4AAMBiCHAAAAAWQ4ADAACwGAIcAACAxRDgAAAALIYABwAAYDEEOAAAAIshwAEAAFgMAQ4AAMBiCHDAaQoLC6t6CgAAnBMBDpelcePGKT8/32Vs586duuOOO6poRoB1rV%2B/Xr169VKrVq107bXXujwAXBg1qnoCQFXYv3%2B/%2BvfvrxkzZigwMFDvv/%2B%2Bpk6dql69elX11ADLefnll9WuXTs988wzqlGDPyuAGdwcDoejqicBmO3kyZOaPn26Fi1apNatW2v37t168cUXFRERUdVTAyzHbrfrxx9/lIeHR1VPBbhssISKy1L16tUVERGh2rVrKzk5Wdddd51CQ0OrelqAJfn7%2ByszM7OqpwFcVghwuCy9%2BuqrGjp0qG6//XZ99dVXKi4uVu/evbVu3bqqnhpgOT179tSIESM0f/58ffTRRy4PABcGS6i4LN1888169dVX1aFDB%2BfY22%2B/rddff12bN2%2BuwpkB1nOmWw/c3Nz05Zdfmjwb4PJAgMNl6fDhw/Lx8SkznpKSopYtW1bBjAAAqDgCHC5bO3fu1Pvvv68///xTEydO1GeffaYhQ4ZU9bQAS/r111%2BVmJio/fv3y9fXV/3791dYWFhVTwu4ZHEPHC5L3333ne644w4dOnRI33//vQoKCjRr1izNmzevqqcGWM63336rQYMG6fDhw2rRooVyc3N17733avXq1VU9NeCSRQOHy9KAAQM0ZswY3XzzzWrfvr02bNigLVu2aOzYsdyzA5yngQMH6t5771XPnj2dY59//rnmz5%2BvZcuWVeHMgEsXDRwuS3v37lXnzp0lnbrRWpLatm2rI0eOVOW0AEvavXu3evTo4TLWo0cP7dmzp2omBFwGCHC4LDVs2FAbN250GduyZYuuvvrqKpoRYF0%2BPj7avn27y1hKSop8fX2raEbApa/6888//3xVTwIwW%2B3atfXY/7V3LyFVdQ0Yxx8vvVZ20VDzgkQFESJNym4UZoJ0QdTSrIygECsUCikiIRqo2IWKRDKipOiig9IyyIHazRqIkCZEpoOio5WevBSmcY4ev9En%2BFW8X550c/b5/4Zr78Ez2fCw1l5rHTmi/v5%2BNTY2ysvLSwUFBcrMzGQXKvCHfvz4oZMnT2rq1Knq6%2BvT8%2BfPlZubq9TUVA7IBiYI/8DBbT19%2BlS3bt1SR0eHgoODtW3btp%2BWgQD8u5GRERUVFam8vFxfvnxRWFiYUlJStGfPHnl6stADTAQKHAAAgIvxNjoAMJmOHTv2r%2B8UFBRMQhLA9V2%2BfFkZGRkqKir67TtZWVmTmAhwHxQ4uKXe3l7V1dUpJiZG4eHh6uzsVHV1teLi4oyOBriMhoYGZWRkqL6%2B/pfP/7vDG8DfxxIq3NL%2B/fuVkpKi2NjY0bHnz5/r0qVLunnzpoHJANc0MjIih8MhLy8vWa1WzZkzR15eXkbHAkyLv0vhlurr6xUTEzNmbNWqVXr9%2BrVBiQDX1dLSovXr149%2BP1euXFFcXJzevXtncDLAvChwcEthYWGqqqoaM1ZeXjmilBYAAAYaSURBVK558%2BYZlAhwXfn5%2BUpKSlJERIQk6ciRI0pKSlJubq7ByQDzYgkVbqm2tlYHDx7UkiVLFBISovb2drW2turSpUtasWKF0fEAl7Js2TI1NDSM%2BedteHhYK1euVENDg4HJAPNiBg5uKTY2VpWVlVq9erV8fX0VHR2tyspKyhswDjNmzPhpudRisWjWrFkGJQLMjxk4AIBTLly4oIcPHyo9PV2hoaH6%2BPGjrl69qvj4eGVmZhodDzAlChzcUltbm06fPq3379/L4XCMeVZbW2tQKsA1DQ8P6%2BLFi7p3756sVqtCQkK0ZcsWpaensxMVmCAUOLilHTt2aNq0adq4caO8vcceh5iUlGRQKgAA/j8c5Au39PbtWz179kwzZswwOgrg8mw2mx48eKDOzs7RGW273a7W1lYVFxcbnA4wJwoc3FJQUJBsNpvRMQBTyMnJUV1dnfz9/WW32zV9%2BnS1tbUpMTHR6GiAaVHg4JZ27dqlzMxM7d69WwEBAWOeRUVFGZQKcE11dXUqLS1VT0%2BPSktLdfbsWZWUlKi5udnoaIBpUeDglvLy8iRJjY2NY8Y9PDz05s0bIyIBLsvhcGjBggXy8/Mb/X7S0tJUUlJicDLAvChwcCufP39WcHCwamtr5eHhof/dw8Pl28CfCw4OlsViUXh4uLq7uzUwMCBPT099//7d6GiAaVHg4FY2bdqkly9fKjY29rdljRk44M/Ex8dr586dunPnjtatW6cDBw7Ix8dHkZGRRkcDTItjROBWPn36pJCQEHV0dPz2nbCwsElMBJhDVVWVoqOj5XA4dObMGfX39%2BvQoUMKDw83OhpgShQ4AIBTDhw4oDNnznAsDzCJuAsVAOCUxsZG/fPPP0bHANwKM3AAAKfk5eWpvb1d8fHxCgwMHPN/KcfyABODAgcAcMrixYt/Oc6xPMDEocABAAC4GP6BAwA4zWazqbq6WteuXdPg4KBaWlqMjgSYGufAAQCc8uHDB%2B3du1d2u13fvn1TdHS0tm7dqqKiIsXExBgdDzAlZuAAAE7Jz8/Xli1b9OTJE3l7e2v%2B/PnKy8tTYWGh0dEA06LAAQCc0tTUpPT0dHl4eIzuQE1ISJDFYjE4GWBeFDgAgFNmzpypL1%2B%2BjBmzWq2aPXu2QYkA86PAAQCcEh8fr6ysLL148UIOh0PNzc06fPiwNm/ebHQ0wLQ4RgQA4BS73a5z586prKxMg4OD8vHxUXJyso4ePcoNDcAEocABAP6anp4e%2Bfv7j7mNAcDfxzEiAACn3b17V/fv35fValVoaKhSUlK0YcMGo2MBpkWBAwA4pbi4WNevX1dqaqpCQkJksVh04sQJ9fX1afv27UbHA0yJJVQAgFPWrl2r4uJiRUZGjo41NzcrOztbNTU1BiYDzItdqAAApwwMDGjRokVjxiIiItTf329QIsD8KHAAAKds3rxZ58%2Bf1/Dw8OhYSUmJ4uLiDEwFmBtLqAAAp6SmpurVq1fy9/dXWFiYurq61NXVpaCgIE2ZMmX0vdraWgNTAuZCgQMAOKWiokJDQ0Pq7e3VnDlz5OXl9cv3kpKSJjkZYF7sQgUAjJvVatWzZ89UU1OjoaEheXt7a/369crJydHcuXONjgeYFjNwAIBx%2Bfr1qxITExUcHKzk5GQFBQXJYrGooqJCnZ2dqqyslJ%2Bfn9ExAVOiwAEAxuXUqVNqb29XYWHhmJsXHA6HsrKyNG/ePB09etTAhIB5sQsVADAujx49UnZ29k/XZnl6eio7O5tNC8AEosABAMbFarVq/vz5v3y2cOFCWa3WSU4EuA8KHABgXHx8fH5b0qxWq3x9fSc5EeA%2BKHAAgHGJiorS7du3f/mstLRUy5cvn%2BREgPvgGBEAwLjs27dPaWlpmjp1qhISEhQQEKCPHz/qzp07unHjhsrKyoyOCJgWu1ABAOP2%2BPFjHT9%2BXN3d3aNjAQEBKigo0Jo1awxMBpgbBQ4A4BSbzaampiZ1dXUpMDBQS5culbc3CzzARKLAAQAAuBg2MQAAALgYChwAAICLocABAAC4GAocAACAi6HAAQAAuBgKHAAAgIuhwAEAALgYChwAAICL%2BQ9feo6YthF4NQAAAABJRU5ErkJggg%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>Operacion</th>\n",
       "      <th>Puerto</th>\n",
       "      <th>Categoria</th>\n",
       "      <th>Servicio</th>\n",
       "      <th>Inicio</th>\n",
       "      <th>Fin</th>\n",
       "      <th>Trafico</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2344</td>\n",
       "      <td>BUN</td>\n",
       "      <td>EN</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-05 13:54:59.000</td>\n",
       "      <td>2015-03-09</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2406</td>\n",
       "      <td>CTG</td>\n",
       "      <td>PA</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-06 17:29:24.923</td>\n",
       "      <td>2015-02-06</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2449</td>\n",
       "      <td>CTG</td>\n",
       "      <td>FR</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-09 11:08:34.997</td>\n",
       "      <td>2015-02-02</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2450</td>\n",
       "      <td>CTG</td>\n",
       "      <td>FR</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-09 11:11:24.010</td>\n",
       "      <td>2015-02-02</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2458</td>\n",
       "      <td>BUN</td>\n",
       "      <td>FR</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-09 12:29:03.000</td>\n",
       "      <td>2015-01-30</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "    </div>\n",
       "</div>\n",
       "</div>"
      ],
      "text/plain": [
       "<pandas_profiling.ProfileReport at 0x1dfc9b419e8>"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Usando pandas profiling\n",
    "pandas_profiling.ProfileReport(dfMotIncSinDuplicados_sin_Null)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Operacion</th>\n",
       "      <th>Puerto</th>\n",
       "      <th>Categoria</th>\n",
       "      <th>Servicio</th>\n",
       "      <th>Inicio</th>\n",
       "      <th>Fin</th>\n",
       "      <th>Trafico</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2344</td>\n",
       "      <td>BUN</td>\n",
       "      <td>EN</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-05 13:54:59.000</td>\n",
       "      <td>2015-03-09</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2406</td>\n",
       "      <td>CTG</td>\n",
       "      <td>PA</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-06 17:29:24.923</td>\n",
       "      <td>2015-02-06</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2449</td>\n",
       "      <td>CTG</td>\n",
       "      <td>FR</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-09 11:08:34.997</td>\n",
       "      <td>2015-02-02</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2450</td>\n",
       "      <td>CTG</td>\n",
       "      <td>FR</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-09 11:11:24.010</td>\n",
       "      <td>2015-02-02</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2458</td>\n",
       "      <td>BUN</td>\n",
       "      <td>FR</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-09 12:29:03.000</td>\n",
       "      <td>2015-01-30</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2489</td>\n",
       "      <td>CTG</td>\n",
       "      <td>FR</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-09 16:49:38.000</td>\n",
       "      <td>2015-02-17</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2535</td>\n",
       "      <td>CTG</td>\n",
       "      <td>FR</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-10 11:50:20.000</td>\n",
       "      <td>2015-02-12</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2537</td>\n",
       "      <td>CTG</td>\n",
       "      <td>AF</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-10 11:57:19.000</td>\n",
       "      <td>2015-02-12</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2538</td>\n",
       "      <td>CTG</td>\n",
       "      <td>AF</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-10 12:03:31.000</td>\n",
       "      <td>2015-02-12</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2618</td>\n",
       "      <td>CTG</td>\n",
       "      <td>AF</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-11 16:41:36.000</td>\n",
       "      <td>2015-02-19</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2626</td>\n",
       "      <td>CTG</td>\n",
       "      <td>EN</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-11 17:57:43.000</td>\n",
       "      <td>2015-03-21</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2661</td>\n",
       "      <td>CTG</td>\n",
       "      <td>FR</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-12 14:30:40.000</td>\n",
       "      <td>2015-02-11</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2761</td>\n",
       "      <td>CTG</td>\n",
       "      <td>FR</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-13 19:34:20.000</td>\n",
       "      <td>2015-01-28</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2862</td>\n",
       "      <td>CTG</td>\n",
       "      <td>EN</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-17 10:36:22.000</td>\n",
       "      <td>2015-03-20</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2863</td>\n",
       "      <td>CTG</td>\n",
       "      <td>EN</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-17 10:40:48.000</td>\n",
       "      <td>2015-03-20</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2865</td>\n",
       "      <td>CTG</td>\n",
       "      <td>EN</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-17 10:46:26.000</td>\n",
       "      <td>2015-03-20</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>3092</td>\n",
       "      <td>CTG</td>\n",
       "      <td>FR</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-20 10:27:56.000</td>\n",
       "      <td>2015-02-23</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>3339</td>\n",
       "      <td>CTG</td>\n",
       "      <td>RF</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-25 14:43:23.203</td>\n",
       "      <td>2015-03-23</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>3351</td>\n",
       "      <td>CLO</td>\n",
       "      <td>AF</td>\n",
       "      <td>Importación Terrestre</td>\n",
       "      <td>2015-02-25 15:55:43.000</td>\n",
       "      <td>2015-04-01</td>\n",
       "      <td>Terrestre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>3445</td>\n",
       "      <td>CTG</td>\n",
       "      <td>EN</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-26 16:45:57.690</td>\n",
       "      <td>2015-03-20</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>3467</td>\n",
       "      <td>CTG</td>\n",
       "      <td>RF</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-02-27 09:43:15.000</td>\n",
       "      <td>2015-03-23</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>3624</td>\n",
       "      <td>CTG</td>\n",
       "      <td>AF</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-03 09:00:34.977</td>\n",
       "      <td>2015-03-06</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>3645</td>\n",
       "      <td>CTG</td>\n",
       "      <td>PA</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-03 11:20:25.000</td>\n",
       "      <td>2015-03-04</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>3666</td>\n",
       "      <td>CTG</td>\n",
       "      <td>EN</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-03 14:46:53.960</td>\n",
       "      <td>2015-03-16</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>3719</td>\n",
       "      <td>CTG</td>\n",
       "      <td>EN</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-04 10:13:00.163</td>\n",
       "      <td>2015-03-23</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>3725</td>\n",
       "      <td>CTG</td>\n",
       "      <td>PA</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-04 10:32:45.867</td>\n",
       "      <td>2015-03-11</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>3734</td>\n",
       "      <td>CTG</td>\n",
       "      <td>EN</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-04 10:58:26.000</td>\n",
       "      <td>2015-04-24</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>3751</td>\n",
       "      <td>BOG</td>\n",
       "      <td>FR</td>\n",
       "      <td>Importación Terrestre</td>\n",
       "      <td>2015-03-04 14:28:16.000</td>\n",
       "      <td>2015-04-13</td>\n",
       "      <td>Terrestre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>3764</td>\n",
       "      <td>BOG</td>\n",
       "      <td>RF</td>\n",
       "      <td>Importación Aérea</td>\n",
       "      <td>2015-03-04 15:47:57.430</td>\n",
       "      <td>2015-03-10</td>\n",
       "      <td>Aéreo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>3768</td>\n",
       "      <td>BOG</td>\n",
       "      <td>RF</td>\n",
       "      <td>Importación Aérea</td>\n",
       "      <td>2015-03-04 16:12:58.023</td>\n",
       "      <td>2015-03-10</td>\n",
       "      <td>Aéreo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>3854</td>\n",
       "      <td>CTG</td>\n",
       "      <td>RF</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-05 16:47:14.413</td>\n",
       "      <td>2015-03-18</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>3907</td>\n",
       "      <td>CTG</td>\n",
       "      <td>FR</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-06 15:58:39.853</td>\n",
       "      <td>2015-03-04</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>3953</td>\n",
       "      <td>CTG</td>\n",
       "      <td>PA</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-07 11:00:38.960</td>\n",
       "      <td>2015-03-18</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>3974</td>\n",
       "      <td>CTG</td>\n",
       "      <td>EN</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-09 08:28:25.590</td>\n",
       "      <td>2015-03-16</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>4052</td>\n",
       "      <td>CTG</td>\n",
       "      <td>PA</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-10 11:01:14.000</td>\n",
       "      <td>2015-03-12</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>4053</td>\n",
       "      <td>CTG</td>\n",
       "      <td>PA</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-10 11:06:26.000</td>\n",
       "      <td>2015-03-12</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>4098</td>\n",
       "      <td>CTG</td>\n",
       "      <td>FR</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-10 17:24:59.000</td>\n",
       "      <td>2015-03-12</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>4315</td>\n",
       "      <td>CTG</td>\n",
       "      <td>RF</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-13 10:47:37.003</td>\n",
       "      <td>2015-03-23</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>4425</td>\n",
       "      <td>CTG</td>\n",
       "      <td>AF</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-16 14:48:17.847</td>\n",
       "      <td>2015-03-22</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>4482</td>\n",
       "      <td>CTG</td>\n",
       "      <td>PA</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-17 11:03:42.657</td>\n",
       "      <td>2015-03-18</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>4518</td>\n",
       "      <td>CTG</td>\n",
       "      <td>AF</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-17 15:08:55.000</td>\n",
       "      <td>2015-03-24</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>4718</td>\n",
       "      <td>CTG</td>\n",
       "      <td>RF</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-20 14:41:04.970</td>\n",
       "      <td>2015-03-23</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>4863</td>\n",
       "      <td>CTG</td>\n",
       "      <td>AF</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-25 10:43:02.000</td>\n",
       "      <td>2015-03-15</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>4864</td>\n",
       "      <td>CTG</td>\n",
       "      <td>AF</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-25 10:46:02.000</td>\n",
       "      <td>2015-03-15</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>4901</td>\n",
       "      <td>BOG</td>\n",
       "      <td>RF</td>\n",
       "      <td>Importación Aérea</td>\n",
       "      <td>2015-03-25 15:54:54.187</td>\n",
       "      <td>2015-03-20</td>\n",
       "      <td>Aéreo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>5029</td>\n",
       "      <td>CTG</td>\n",
       "      <td>EN</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-27 09:24:04.343</td>\n",
       "      <td>2015-05-01</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>5038</td>\n",
       "      <td>CTG</td>\n",
       "      <td>EN</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-27 10:37:54.000</td>\n",
       "      <td>2015-05-17</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>5040</td>\n",
       "      <td>CTG</td>\n",
       "      <td>AF</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-27 11:25:06.000</td>\n",
       "      <td>2015-04-06</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>5170</td>\n",
       "      <td>BUN</td>\n",
       "      <td>EN</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-30 15:23:52.000</td>\n",
       "      <td>2015-07-07</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>5241</td>\n",
       "      <td>CTG</td>\n",
       "      <td>EN</td>\n",
       "      <td>Importación Marítima</td>\n",
       "      <td>2015-03-31 14:25:16.000</td>\n",
       "      <td>2015-05-01</td>\n",
       "      <td>Marítimo</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Operacion Puerto Categoria               Servicio  \\\n",
       "0         2344    BUN        EN   Importación Marítima   \n",
       "1         2406    CTG        PA   Importación Marítima   \n",
       "3         2449    CTG        FR   Importación Marítima   \n",
       "4         2450    CTG        FR   Importación Marítima   \n",
       "5         2458    BUN        FR   Importación Marítima   \n",
       "6         2489    CTG        FR   Importación Marítima   \n",
       "16        2535    CTG        FR   Importación Marítima   \n",
       "20        2537    CTG        AF   Importación Marítima   \n",
       "24        2538    CTG        AF   Importación Marítima   \n",
       "28        2618    CTG        AF   Importación Marítima   \n",
       "29        2626    CTG        EN   Importación Marítima   \n",
       "30        2661    CTG        FR   Importación Marítima   \n",
       "31        2761    CTG        FR   Importación Marítima   \n",
       "32        2862    CTG        EN   Importación Marítima   \n",
       "34        2863    CTG        EN   Importación Marítima   \n",
       "35        2865    CTG        EN   Importación Marítima   \n",
       "37        3092    CTG        FR   Importación Marítima   \n",
       "46        3339    CTG        RF   Importación Marítima   \n",
       "47        3351    CLO        AF  Importación Terrestre   \n",
       "48        3445    CTG        EN   Importación Marítima   \n",
       "49        3467    CTG        RF   Importación Marítima   \n",
       "50        3624    CTG        AF   Importación Marítima   \n",
       "51        3645    CTG        PA   Importación Marítima   \n",
       "52        3666    CTG        EN   Importación Marítima   \n",
       "69        3719    CTG        EN   Importación Marítima   \n",
       "70        3725    CTG        PA   Importación Marítima   \n",
       "71        3734    CTG        EN   Importación Marítima   \n",
       "73        3751    BOG        FR  Importación Terrestre   \n",
       "78        3764    BOG        RF      Importación Aérea   \n",
       "80        3768    BOG        RF      Importación Aérea   \n",
       "82        3854    CTG        RF   Importación Marítima   \n",
       "83        3907    CTG        FR   Importación Marítima   \n",
       "86        3953    CTG        PA   Importación Marítima   \n",
       "87        3974    CTG        EN   Importación Marítima   \n",
       "88        4052    CTG        PA   Importación Marítima   \n",
       "89        4053    CTG        PA   Importación Marítima   \n",
       "90        4098    CTG        FR   Importación Marítima   \n",
       "92        4315    CTG        RF   Importación Marítima   \n",
       "93        4425    CTG        AF   Importación Marítima   \n",
       "94        4482    CTG        PA   Importación Marítima   \n",
       "95        4518    CTG        AF   Importación Marítima   \n",
       "96        4718    CTG        RF   Importación Marítima   \n",
       "98        4863    CTG        AF   Importación Marítima   \n",
       "99        4864    CTG        AF   Importación Marítima   \n",
       "100       4901    BOG        RF      Importación Aérea   \n",
       "101       5029    CTG        EN   Importación Marítima   \n",
       "102       5038    CTG        EN   Importación Marítima   \n",
       "104       5040    CTG        AF   Importación Marítima   \n",
       "105       5170    BUN        EN   Importación Marítima   \n",
       "106       5241    CTG        EN   Importación Marítima   \n",
       "\n",
       "                     Inicio        Fin    Trafico  \n",
       "0   2015-02-05 13:54:59.000 2015-03-09   Marítimo  \n",
       "1   2015-02-06 17:29:24.923 2015-02-06   Marítimo  \n",
       "3   2015-02-09 11:08:34.997 2015-02-02   Marítimo  \n",
       "4   2015-02-09 11:11:24.010 2015-02-02   Marítimo  \n",
       "5   2015-02-09 12:29:03.000 2015-01-30   Marítimo  \n",
       "6   2015-02-09 16:49:38.000 2015-02-17   Marítimo  \n",
       "16  2015-02-10 11:50:20.000 2015-02-12   Marítimo  \n",
       "20  2015-02-10 11:57:19.000 2015-02-12   Marítimo  \n",
       "24  2015-02-10 12:03:31.000 2015-02-12   Marítimo  \n",
       "28  2015-02-11 16:41:36.000 2015-02-19   Marítimo  \n",
       "29  2015-02-11 17:57:43.000 2015-03-21   Marítimo  \n",
       "30  2015-02-12 14:30:40.000 2015-02-11   Marítimo  \n",
       "31  2015-02-13 19:34:20.000 2015-01-28   Marítimo  \n",
       "32  2015-02-17 10:36:22.000 2015-03-20   Marítimo  \n",
       "34  2015-02-17 10:40:48.000 2015-03-20   Marítimo  \n",
       "35  2015-02-17 10:46:26.000 2015-03-20   Marítimo  \n",
       "37  2015-02-20 10:27:56.000 2015-02-23   Marítimo  \n",
       "46  2015-02-25 14:43:23.203 2015-03-23   Marítimo  \n",
       "47  2015-02-25 15:55:43.000 2015-04-01  Terrestre  \n",
       "48  2015-02-26 16:45:57.690 2015-03-20   Marítimo  \n",
       "49  2015-02-27 09:43:15.000 2015-03-23   Marítimo  \n",
       "50  2015-03-03 09:00:34.977 2015-03-06   Marítimo  \n",
       "51  2015-03-03 11:20:25.000 2015-03-04   Marítimo  \n",
       "52  2015-03-03 14:46:53.960 2015-03-16   Marítimo  \n",
       "69  2015-03-04 10:13:00.163 2015-03-23   Marítimo  \n",
       "70  2015-03-04 10:32:45.867 2015-03-11   Marítimo  \n",
       "71  2015-03-04 10:58:26.000 2015-04-24   Marítimo  \n",
       "73  2015-03-04 14:28:16.000 2015-04-13  Terrestre  \n",
       "78  2015-03-04 15:47:57.430 2015-03-10      Aéreo  \n",
       "80  2015-03-04 16:12:58.023 2015-03-10      Aéreo  \n",
       "82  2015-03-05 16:47:14.413 2015-03-18   Marítimo  \n",
       "83  2015-03-06 15:58:39.853 2015-03-04   Marítimo  \n",
       "86  2015-03-07 11:00:38.960 2015-03-18   Marítimo  \n",
       "87  2015-03-09 08:28:25.590 2015-03-16   Marítimo  \n",
       "88  2015-03-10 11:01:14.000 2015-03-12   Marítimo  \n",
       "89  2015-03-10 11:06:26.000 2015-03-12   Marítimo  \n",
       "90  2015-03-10 17:24:59.000 2015-03-12   Marítimo  \n",
       "92  2015-03-13 10:47:37.003 2015-03-23   Marítimo  \n",
       "93  2015-03-16 14:48:17.847 2015-03-22   Marítimo  \n",
       "94  2015-03-17 11:03:42.657 2015-03-18   Marítimo  \n",
       "95  2015-03-17 15:08:55.000 2015-03-24   Marítimo  \n",
       "96  2015-03-20 14:41:04.970 2015-03-23   Marítimo  \n",
       "98  2015-03-25 10:43:02.000 2015-03-15   Marítimo  \n",
       "99  2015-03-25 10:46:02.000 2015-03-15   Marítimo  \n",
       "100 2015-03-25 15:54:54.187 2015-03-20      Aéreo  \n",
       "101 2015-03-27 09:24:04.343 2015-05-01   Marítimo  \n",
       "102 2015-03-27 10:37:54.000 2015-05-17   Marítimo  \n",
       "104 2015-03-27 11:25:06.000 2015-04-06   Marítimo  \n",
       "105 2015-03-30 15:23:52.000 2015-07-07   Marítimo  \n",
       "106 2015-03-31 14:25:16.000 2015-05-01   Marítimo  "
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfMotIncSinDuplicados_sin_Null.head(50)"
   ]
  }
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