oficina-eda-happiness-dataset.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://www.datacamp.com/community/blog/python-pandas-cheat-sheet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "File b'2017.csv' does not exist",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-4-fa97401ed60a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mdataframe\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2017.csv'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0mdataframe\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36mparser_f\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter, doublequote, delim_whitespace, low_memory, memory_map, float_precision)\u001b[0m\n\u001b[1;32m    676\u001b[0m                     skip_blank_lines=skip_blank_lines)\n\u001b[1;32m    677\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 678\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0m_read\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    679\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    680\u001b[0m     \u001b[0mparser_f\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m    438\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    439\u001b[0m     \u001b[0;31m# Create the parser.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 440\u001b[0;31m     \u001b[0mparser\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTextFileReader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    441\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    442\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mchunksize\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0miterator\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m    785\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'has_index_names'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'has_index_names'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    786\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 787\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_engine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mengine\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    788\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    789\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m_make_engine\u001b[0;34m(self, engine)\u001b[0m\n\u001b[1;32m   1012\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_make_engine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mengine\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'c'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1013\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mengine\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'c'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1014\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mCParserWrapper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1015\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1016\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mengine\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'python'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, src, **kwds)\u001b[0m\n\u001b[1;32m   1706\u001b[0m         \u001b[0mkwds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'usecols'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0musecols\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1707\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1708\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_reader\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparsers\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTextReader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1709\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1710\u001b[0m         \u001b[0mpassed_names\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnames\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader.__cinit__\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._setup_parser_source\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: File b'2017.csv' does not exist"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "dataframe = pd.read_csv('2017.csv')\n",
    "dataframe.head()\n",
    "\n",
    "#dataframe.head() 5 primeiras observações\n",
    "#dataframe.tail() 5 ultimas observações\n",
    "#dataframe todas as observações"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 155 entries, 0 to 154\n",
      "Data columns (total 12 columns):\n",
      "Country                          155 non-null object\n",
      "Happiness.Rank                   155 non-null int64\n",
      "Happiness.Score                  155 non-null float64\n",
      "Whisker.high                     155 non-null float64\n",
      "Whisker.low                      155 non-null float64\n",
      "Economy..GDP.per.Capita.         155 non-null float64\n",
      "Family                           155 non-null float64\n",
      "Health..Life.Expectancy.         155 non-null float64\n",
      "Freedom                          155 non-null float64\n",
      "Generosity                       155 non-null float64\n",
      "Trust..Government.Corruption.    155 non-null float64\n",
      "Dystopia.Residual                155 non-null float64\n",
      "dtypes: float64(10), int64(1), object(1)\n",
      "memory usage: 14.6+ KB\n"
     ]
    }
   ],
   "source": [
    "dataframe.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Happiness.Rank</th>\n",
       "      <th>Happiness.Score</th>\n",
       "      <th>Whisker.high</th>\n",
       "      <th>Whisker.low</th>\n",
       "      <th>Economy..GDP.per.Capita.</th>\n",
       "      <th>Family</th>\n",
       "      <th>Health..Life.Expectancy.</th>\n",
       "      <th>Freedom</th>\n",
       "      <th>Generosity</th>\n",
       "      <th>Trust..Government.Corruption.</th>\n",
       "      <th>Dystopia.Residual</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>155.000000</td>\n",
       "      <td>155.000000</td>\n",
       "      <td>155.000000</td>\n",
       "      <td>155.000000</td>\n",
       "      <td>155.000000</td>\n",
       "      <td>155.000000</td>\n",
       "      <td>155.000000</td>\n",
       "      <td>155.000000</td>\n",
       "      <td>155.000000</td>\n",
       "      <td>155.000000</td>\n",
       "      <td>155.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>78.000000</td>\n",
       "      <td>5.354019</td>\n",
       "      <td>5.452326</td>\n",
       "      <td>5.255713</td>\n",
       "      <td>0.984718</td>\n",
       "      <td>1.188898</td>\n",
       "      <td>0.551341</td>\n",
       "      <td>0.408786</td>\n",
       "      <td>0.246883</td>\n",
       "      <td>0.123120</td>\n",
       "      <td>1.850238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>44.888751</td>\n",
       "      <td>1.131230</td>\n",
       "      <td>1.118542</td>\n",
       "      <td>1.145030</td>\n",
       "      <td>0.420793</td>\n",
       "      <td>0.287263</td>\n",
       "      <td>0.237073</td>\n",
       "      <td>0.149997</td>\n",
       "      <td>0.134780</td>\n",
       "      <td>0.101661</td>\n",
       "      <td>0.500028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.693000</td>\n",
       "      <td>2.864884</td>\n",
       "      <td>2.521116</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.377914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>39.500000</td>\n",
       "      <td>4.505500</td>\n",
       "      <td>4.608172</td>\n",
       "      <td>4.374955</td>\n",
       "      <td>0.663371</td>\n",
       "      <td>1.042635</td>\n",
       "      <td>0.369866</td>\n",
       "      <td>0.303677</td>\n",
       "      <td>0.154106</td>\n",
       "      <td>0.057271</td>\n",
       "      <td>1.591291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>78.000000</td>\n",
       "      <td>5.279000</td>\n",
       "      <td>5.370032</td>\n",
       "      <td>5.193152</td>\n",
       "      <td>1.064578</td>\n",
       "      <td>1.253918</td>\n",
       "      <td>0.606042</td>\n",
       "      <td>0.437454</td>\n",
       "      <td>0.231538</td>\n",
       "      <td>0.089848</td>\n",
       "      <td>1.832910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>116.500000</td>\n",
       "      <td>6.101500</td>\n",
       "      <td>6.194600</td>\n",
       "      <td>6.006527</td>\n",
       "      <td>1.318027</td>\n",
       "      <td>1.414316</td>\n",
       "      <td>0.723008</td>\n",
       "      <td>0.516561</td>\n",
       "      <td>0.323762</td>\n",
       "      <td>0.153296</td>\n",
       "      <td>2.144654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>155.000000</td>\n",
       "      <td>7.537000</td>\n",
       "      <td>7.622030</td>\n",
       "      <td>7.479556</td>\n",
       "      <td>1.870766</td>\n",
       "      <td>1.610574</td>\n",
       "      <td>0.949492</td>\n",
       "      <td>0.658249</td>\n",
       "      <td>0.838075</td>\n",
       "      <td>0.464308</td>\n",
       "      <td>3.117485</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Happiness.Rank  Happiness.Score  Whisker.high  Whisker.low  \\\n",
       "count      155.000000       155.000000    155.000000   155.000000   \n",
       "mean        78.000000         5.354019      5.452326     5.255713   \n",
       "std         44.888751         1.131230      1.118542     1.145030   \n",
       "min          1.000000         2.693000      2.864884     2.521116   \n",
       "25%         39.500000         4.505500      4.608172     4.374955   \n",
       "50%         78.000000         5.279000      5.370032     5.193152   \n",
       "75%        116.500000         6.101500      6.194600     6.006527   \n",
       "max        155.000000         7.537000      7.622030     7.479556   \n",
       "\n",
       "       Economy..GDP.per.Capita.      Family  Health..Life.Expectancy.  \\\n",
       "count                155.000000  155.000000                155.000000   \n",
       "mean                   0.984718    1.188898                  0.551341   \n",
       "std                    0.420793    0.287263                  0.237073   \n",
       "min                    0.000000    0.000000                  0.000000   \n",
       "25%                    0.663371    1.042635                  0.369866   \n",
       "50%                    1.064578    1.253918                  0.606042   \n",
       "75%                    1.318027    1.414316                  0.723008   \n",
       "max                    1.870766    1.610574                  0.949492   \n",
       "\n",
       "          Freedom  Generosity  Trust..Government.Corruption.  \\\n",
       "count  155.000000  155.000000                     155.000000   \n",
       "mean     0.408786    0.246883                       0.123120   \n",
       "std      0.149997    0.134780                       0.101661   \n",
       "min      0.000000    0.000000                       0.000000   \n",
       "25%      0.303677    0.154106                       0.057271   \n",
       "50%      0.437454    0.231538                       0.089848   \n",
       "75%      0.516561    0.323762                       0.153296   \n",
       "max      0.658249    0.838075                       0.464308   \n",
       "\n",
       "       Dystopia.Residual  \n",
       "count         155.000000  \n",
       "mean            1.850238  \n",
       "std             0.500028  \n",
       "min             0.377914  \n",
       "25%             1.591291  \n",
       "50%             1.832910  \n",
       "75%             2.144654  \n",
       "max             3.117485  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataframe.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>Country</th>\n",
       "      <th>Happiness.Rank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Norway</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Denmark</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Iceland</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Finland</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Country  Happiness.Rank\n",
       "0       Norway               1\n",
       "1      Denmark               2\n",
       "2      Iceland               3\n",
       "3  Switzerland               4\n",
       "4      Finland               5"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataframe[['Country', 'Happiness.Rank']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>Country</th>\n",
       "      <th>Happiness.Rank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Country  Happiness.Rank\n",
       "21  Brazil              22"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataframe[['Country', 'Happiness.Rank']].query(\"Country == 'Brazil'\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting pandas_profiling\n",
      "  Downloading https://files.pythonhosted.org/packages/a7/7c/84f15ee705793a3cdd43bc65e6166d65d36f743b815ea517b02582989533/pandas_profiling-1.4.1-py2.py3-none-any.whl\n",
      "Requirement already satisfied: matplotlib>=1.4 in /opt/conda/lib/python3.6/site-packages (from pandas_profiling)\n",
      "Requirement already satisfied: pandas>=0.19 in /opt/conda/lib/python3.6/site-packages (from pandas_profiling)\n",
      "Requirement already satisfied: jinja2>=2.8 in /opt/conda/lib/python3.6/site-packages (from pandas_profiling)\n",
      "Requirement already satisfied: six>=1.9 in /opt/conda/lib/python3.6/site-packages (from pandas_profiling)\n",
      "Requirement already satisfied: numpy>=1.7.1 in /opt/conda/lib/python3.6/site-packages (from matplotlib>=1.4->pandas_profiling)\n",
      "Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.6/site-packages (from matplotlib>=1.4->pandas_profiling)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /opt/conda/lib/python3.6/site-packages (from matplotlib>=1.4->pandas_profiling)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/lib/python3.6/site-packages (from matplotlib>=1.4->pandas_profiling)\n",
      "Requirement already satisfied: pytz in /opt/conda/lib/python3.6/site-packages (from matplotlib>=1.4->pandas_profiling)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/lib/python3.6/site-packages (from matplotlib>=1.4->pandas_profiling)\n",
      "Requirement already satisfied: MarkupSafe>=0.23 in /opt/conda/lib/python3.6/site-packages (from jinja2>=2.8->pandas_profiling)\n",
      "Requirement already satisfied: setuptools in /opt/conda/lib/python3.6/site-packages (from kiwisolver>=1.0.1->matplotlib>=1.4->pandas_profiling)\n",
      "Installing collected packages: pandas-profiling\n",
      "Successfully installed pandas-profiling-1.4.1\n",
      "\u001b[33mYou are using pip version 9.0.3, however version 18.0 is available.\n",
      "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!pip install pandas_profiling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<meta charset=\"UTF-8\">\n",
       "\n",
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       "\n",
       "        .variablerow {\n",
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       "\n",
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       "            opacity: 0.4;\n",
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       "\n",
       "        .container.pandas-profiling {\n",
       "            max-width:975px;\n",
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       "                border: 0;\n",
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       "\n",
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       "\n",
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       "                font-weight: 600;\n",
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       "\n",
       "            .stats tr {\n",
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       "\n",
       "            .stats td{\n",
       "                color: #555;\n",
       "                padding: 1px;\n",
       "                border: 0;\n",
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       "\n",
       "\n",
       "        /* Sample table */\n",
       "            table.sample {\n",
       "                border: 0;\n",
       "                margin-bottom: 2em;\n",
       "                margin-left:1em;\n",
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       "            .sample td, .sample th{\n",
       "                padding: 0.5em;\n",
       "                white-space: nowrap;\n",
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       "\n",
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       "\n",
       "            .sample thead {\n",
       "                border-top: 0;\n",
       "                border-bottom: 2px solid #ddd;\n",
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       "\n",
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       "            .histogram {\n",
       "                margin-top: 3em;\n",
       "            }\n",
       "        /* Freq table */\n",
       "\n",
       "            table.freq {\n",
       "                margin-bottom: 2em;\n",
       "                border: 0;\n",
       "            }\n",
       "            table.freq th, table.freq tr, table.freq td {\n",
       "                border: 0;\n",
       "                padding: 0;\n",
       "            }\n",
       "\n",
       "            .freq thead {\n",
       "                font-weight: 600;\n",
       "                white-space: nowrap;\n",
       "                overflow: hidden;\n",
       "                text-overflow: ellipsis;\n",
       "\n",
       "            }\n",
       "\n",
       "            td.fillremaining{\n",
       "                width:auto;\n",
       "                max-width: none;\n",
       "            }\n",
       "\n",
       "            td.number, th.number {\n",
       "                text-align:right ;\n",
       "            }\n",
       "\n",
       "        /* Freq mini */\n",
       "            .freq.mini td{\n",
       "                width: 50%;\n",
       "                padding: 1px;\n",
       "                font-size: 12px;\n",
       "\n",
       "            }\n",
       "            table.freq.mini {\n",
       "                 width:100%;\n",
       "            }\n",
       "            .freq.mini th {\n",
       "                overflow: hidden;\n",
       "                text-overflow: ellipsis;\n",
       "                white-space: nowrap;\n",
       "                max-width: 5em;\n",
       "                font-weight: 400;\n",
       "                text-align:right;\n",
       "                padding-right: 0.5em;\n",
       "            }\n",
       "\n",
       "            .missing {\n",
       "                color: #a94442;\n",
       "            }\n",
       "            .alert, .alert > th, .alert > td {\n",
       "                color: #a94442;\n",
       "            }\n",
       "\n",
       "\n",
       "        /* Bars in tables */\n",
       "            .freq .bar{\n",
       "                float: left;\n",
       "                width: 0;\n",
       "                height: 100%;\n",
       "                line-height: 20px;\n",
       "                color: #fff;\n",
       "                text-align: center;\n",
       "                background-color: #337ab7;\n",
       "                border-radius: 3px;\n",
       "                margin-right: 4px;\n",
       "            }\n",
       "            .other .bar {\n",
       "                background-color: #999;\n",
       "            }\n",
       "            .missing .bar{\n",
       "                background-color: #a94442;\n",
       "            }\n",
       "            .tooltip-inner {\n",
       "                width: 100%;\n",
       "                white-space: nowrap;\n",
       "                text-align:left;\n",
       "            }\n",
       "\n",
       "            .extrapadding{\n",
       "                padding: 2em;\n",
       "            }\n",
       "\n",
       "            .pp-anchor{\n",
       "\n",
       "            }\n",
       "\n",
       "</style>\n",
       "\n",
       "<div class=\"container pandas-profiling\">\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Overview</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <div class=\"col-md-6 namecol\">\n",
       "        <p class=\"h4\">Dataset info</p>\n",
       "        <table class=\"stats\" style=\"margin-left: 1em;\">\n",
       "            <tbody>\n",
       "            <tr>\n",
       "                <th>Number of variables</th>\n",
       "                <td>12 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Number of observations</th>\n",
       "                <td>155 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Total Missing (%)</th>\n",
       "                <td>0.0% </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Total size in memory</th>\n",
       "                <td>14.6 KiB </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Average record size in memory</th>\n",
       "                <td>96.5 B </td>\n",
       "            </tr>\n",
       "            </tbody>\n",
       "        </table>\n",
       "    </div>\n",
       "    <div class=\"col-md-6 namecol\">\n",
       "        <p class=\"h4\">Variables types</p>\n",
       "        <table class=\"stats\" style=\"margin-left: 1em;\">\n",
       "            <tbody>\n",
       "            <tr>\n",
       "                <th>Numeric</th>\n",
       "                <td>9 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Categorical</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Boolean</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Date</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Text (Unique)</th>\n",
       "                <td>1 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Rejected</th>\n",
       "                <td>2 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Unsupported</th>\n",
       "                <td>0 </td>\n",
       "            </tr>\n",
       "            </tbody>\n",
       "        </table>\n",
       "    </div>\n",
       "    <div class=\"col-md-12\" style=\"padding-left: 1em;\">\n",
       "        \n",
       "        <p class=\"h4\">Warnings</p>\n",
       "        <ul class=\"list-unstyled\"><li><a href=\"#pp_var_Whisker.high\"><code>Whisker.high</code></a> is highly correlated with <a href=\"#pp_var_Happiness.Score\"><code>Happiness.Score</code></a> (ρ = 0.9995) <span class=\"label label-primary\">Rejected</span></li><li><a href=\"#pp_var_Whisker.low\"><code>Whisker.low</code></a> is highly correlated with <a href=\"#pp_var_Whisker.high\"><code>Whisker.high</code></a> (ρ = 0.99804) <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_Country\">Country<br/>\n",
       "            <small>Categorical, Unique</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3 collapse in\" id=\"minivalues-2932780453277918333\"><table border=\"1\" class=\"dataframe example_values\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>First 3 values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Mauritius</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Egypt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Costa Rica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minivalues-2932780453277918333\"><table border=\"1\" class=\"dataframe example_values\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Last 3 values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>United States</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Hungary</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Central African Republic</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#values-2932780453277918333,#minivalues-2932780453277918333\" aria-expanded=\"false\"\n",
       "       aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 collapse\" id=\"values-2932780453277918333\">\n",
       "    <p class=\"h4\">First 10 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\">Afghanistan</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Albania</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Algeria</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Angola</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Argentina</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "    <p class=\"h4\">Last 10 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\">Venezuela</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Vietnam</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Yemen</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Zambia</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Zimbabwe</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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_Dystopia.Residual\">Dystopia.Residual<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>155</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>1.8502</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0.37791</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>3.1175</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=\"minihistogram2405886255420267171\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAATVJREFUeJzt3MFtAjEQQFFAKSlFpKec6Yki0pNpAH3tIqF1vO/dkXz5zBgWrmOMcQFeuh19AJjZ19EHWNn372P3a/7uPx84Ce8yQSAIBIJAILiDTMa9ZS4mCASBQBAIBIFAEAgEgUAQCASBQBAIBIFA8KjJAvY%2BnuLRlO1MEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKB4AdTJ%2BT/f7czQSCYIDu8887L/yYQNjnrWmbFgnDaCWJdYgsTBIJAIAgEwnR3kLN%2BWsKcTBAI000Q1rHCNmCCQBAIhCVWLF/68SnXMcY4%2BhAwKysWBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIhCceUSHWNh511gAAAABJRU5ErkJggg%3D%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives2405886255420267171,#minihistogram2405886255420267171\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives2405886255420267171\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles2405886255420267171\"\n",
       "                                                  aria-controls=\"quantiles2405886255420267171\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram2405886255420267171\" aria-controls=\"histogram2405886255420267171\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common2405886255420267171\" aria-controls=\"common2405886255420267171\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme2405886255420267171\" aria-controls=\"extreme2405886255420267171\"\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=\"quantiles2405886255420267171\">\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>0.37791</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>1.056</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>1.5913</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>1.8329</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>2.1447</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>2.731</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>3.1175</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>2.7396</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>0.55336</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>0.50003</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.27025</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>0.69023</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>1.8502</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.37671</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>-0.23932</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>286.79</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>0.25003</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>1.3 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=\"histogram2405886255420267171\">\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%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%2BV0a5ld/zO7SML/6s8vsWraMsuTrcgULks6eKA6HQyEhDquj2BLzuzTMr/6Y3aVhfvXH7C6MggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgWNAXrKefflqdOnWq%2Bvu2bds0fPhwXX/99RoyZIhWrVplYToAAGBHQf27CD/55BO/AvX1118rPT1d06dP19ChQ7Vz50499NBD%2BulPf6pu3bpZmBQAANhJ0F7Bqqys1IwZM3TvvfdWra1du1YdOnTQ8OHDFR4erj59%2BujWW29Vfn6%2BhUkBAIDdBO0VrFdffVVhYWH613/9Vy1cuFCStHfvXiUmJvpt17lzZ61bt65O%2By4oKJDH4/Fbczoj5HK5Li10AwoNDfH7iLphfpeG%2BdUfs7s0zK/%2BmN2FBWXBOn78uBYtWqTly5f7rRcXF6tVq1Z%2Ba7GxsSoqKqrT/nNzc5WTk%2BO3lp6eroyMjPoFbkTR0U2tjmBrzK92ejy23uoIdbJj9iCrI1wUx96lYX71x%2BxqFpQFKzs7W3fddZeuvvpqHT169ILb%2Bnw%2BORyOOu0/LS1NycnJfmtOZ4SKik7WOWtjCQ0NUXR0U3m9ZaqoqLQ6ju0wv8sb5%2B7li/nVn11mFxcXacnXDbqCtX37dn344YeaNWtWtcfi4uJUXFzst1ZcXKy4uLg6fQ2Xy1XtdqDHc0Ll5YF7AJ5TUVFpi5yBivldnuzw35Rj79Iwv/pjdjULuoK1evVqffPNN%2Brfv7%2Bks1eoJKlXr14aO3as1q5d67f9nj17dO211zZ2TAAAYGNBV7AeffRR/epXv6r6%2B1dffaW0tDT9%2Bc9/VmVlpRYvXqy8vDzdeeedev/997Vlyxbl5uZamBgAANhN0BWsmJgYxcTEVP29vLxcktS6dWtJ0uLFizV37lxlZ2erTZs2evbZZ5WQkGBJVgAAYE9BV7DO16ZNG%2B3fv7/q7z179lReXp6FiQAAgN3x5hUAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMOcVgcAgEA3%2BPltVkeok3UTb7Q6AhD0uIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwLCg/FU5%2B/btU3Z2tvbs2aPw8HDdcMMNeuyxx/Tdd99pwIABCgsL89t%2B7ty5Gjx4sEVpAQCA3QRdwTp9%2BrTGjh2ru%2B%2B%2BW0uWLJHX69WvfvUrzZw5U%2Bnp6frRj34kt9ttdUwAAGBjQXeLsKysTJmZmXrwwQcVFhamFi1aKCUlRZ9%2B%2BqlKSkoUExNjdUQAAGBzQXcFKyYmRiNGjKj6%2B%2BHDh7Vq1Srdfvvt8nq9qqys1EMPPaQPP/xQsbGxGj16tO699145HI5af42CggJ5PB6/NaczQi6Xy9j3YVpoaIjfR9QN80MgcTo5DmuLc7f%2BmN2FBV3BOufYsWNKSUlReXm5Ro0apYyMDG3evFnt2rXT3XffrYULF%2Bpvf/ubJk6cqMjISL9SdjG5ubnKycnxW0tPT1dGRobpb8O46OimVkewNeaHQBAXF2l1BNvh3K0/Zlczh8/n81kdwio%2Bn0%2BHDx/WE088oZYtW2r%2B/PnVtpk7d6527dqlP/3pT7Xer12vYEVHN5XXW6aKikqr49gO86ub2%2BZttTrCZe2vk262OoJtcO7Wn11mZ9U/OIL2CpYkORwOtW/fXpmZmRo1apQee%2BwxNW/e3G%2BbNm3aaMOGDXXar8vlqlamPJ4TKi8P3APwnIqKSlvkDFTMD4GAY7DuOHfrj9nVLOhunG7btk0pKSmqrPz%2BYAgJOTuG//mf/1Fubq7f9gcPHlTbtm0bNSMAALC3oCtYSUlJ8nq9mjdvnsrKylRYWKhFixapR48eCg0NVXZ2tt577z2Vl5dr%2B/bteu2113T33XdbHRsAANhI0N0ijImJ0dKlSzV79mz17t1bERER6t27t2bPnq1WrVpp2rRpevLJJ1VQUKD4%2BHg9/vjjGjBggNWxAQCAjQRdwZKkhIQErVixosbH0tLSlJaW1siJAADA5STobhECAAA0NAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAw4KyYO3bt0/33nuvunfvrr59%2B2rixInyeDySpG3btmn48OG6/vrrNWTIEK1atcritAAAwG6CrmCdPn1aY8eO1Q033KDt27dr9erV8ng8mjlzpr7%2B%2Bmulp6dr1KhR2r59u6ZPn64ZM2Zo9%2B7dVscGAAA2EnQFq6ysTJmZmXrwwQcVFhamFi1aKCUlRZ9%2B%2BqnWrl2rDh06aPjw4QoPD1efPn106623Kj8/3%2BrYAADARpxWB2hsMTExGjFiRNXfDx8%2BrFWrVun222/X3r17lZiY6Ld9586dtW7dujp9jYKCgqpbjuc4nRFyuVz1D97AQkND/D6ibpgfAonTyXFYW5y79cfsLizoCtY5x44dU0pKisrLyzVq1ChlZGTol7/8pVq1auW3XWxsrIqKiuq079zcXOXk5PitpaenKyMj45JzN7To6KZWR7A15odAEBcXaXUE2%2BHcrT9mV7OgLVjx8fFyu906fPiwnnjiCU2ePLnG7Xw%2BnxwOR532nZaWpuTkZL81pzNCRUUn6523oYWGhig6uqm83jJVVFRaHcd2mB8CSSA/1wQazt36s8vsrPoHR9AWLElyOBxq3769MjMzNWrUKPXr10/FxcV%2B2xQXFysuLq5O%2B3W5XNVuB3o8J1ReHrgH4DkVFZW2yBmomB8CAcdg3XHu1h%2Bzq1nQ3Tjdtm2bUlJSVFn5/cEQEnJ2DH379tWePXv8tt%2BzZ4%2BuvfbaRs0IAADsLegKVlJSkrxer%2BbNm6eysjIVFhZq0aJF6tGjh4YOHapjx44pLy9Pp06d0pYtW7RlyxaNHDnS6tgAAMBGgq5gxcTEaOnSpXK73erdu7eGDBmiqKgoPffcc/rxj3%2BsxYsXa%2BXKlerTp4/mz5%2BvZ599VgkJCVbHBgAANhKUr8FKSEjQihUranysZ8%2BeysvLa%2BREAADgchJ0V7AAAAAaGgULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADDMaXUAAIBZg5/fZnWEWls38UarIwANgitYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAwL2l%2BVc%2BzYMT399NPasWOHHA6Hfvazn2n69Olq1qyZEhMT5XQ65XA4qrafOHGixo0bZ2FiAABgF7YqWCdOnFBUVJSRfT388MNKTEzUpk2b9O2332r8%2BPGaM2eOpkyZIp/Pp7feekutWrUy8rUAAEBwsdUtwptuuklTp07Vjh07Lmk/Xq9XiYmJysrKUmRkpFq2bKnU1FTt2LFDXq9XkhQbG2siMgAACEK2KlhPPvmkvvnmG/3iF7/Q4MGDtXTpUhUWFtZ5P9HR0crOzlaLFi2q1r744gu5XC6VlJQoNDRU06ZNU9%2B%2BfZWcnKzf/e53OnPmjMlvBQAAXMZsdYswNTVVqampKiws1Jtvvqk33nhDv/vd73Trrbdq5MiR6tOnT73263a79corr%2BjFF1%2BUz%2BdT586ddcstt%2BiZZ57RJ598ooyMDDkcDk2cOLFW%2BysoKJDH4/Fbczoj5HK56pWvMYSGhvh9RN0wP6B%2BnE5rzxnO3fpjdhfm8Pl8PqtDXIo33nhDM2fOVGlpqTp06KCJEydq4MCBtf78Dz74QOPHj9cjjzyiMWPG1LjNK6%2B8opdffllbtmyp1T4XLVqknJwcv7X09HRlZGTUOhdwOevx2HqrIyBA7Jg9yOoIQIOw1RWscwoLC/X666/rtdde0%2Beff64bb7xRaWlpKigo0BNPPKFjx47pvvvuu%2Bh%2B3n77bU2aNEmPP/64UlNTf3C7Nm3a6Pjx4/L5fH4/WfhD0tLSlJyc7LfmdEaoqOjkxb85i4SGhig6uqm83jJVVFRaHcd2mB9QP1Y/L3Lu1p9dZhcXF2nJ17VVwdq6davy8vK0adMmxcbG6q677tLIkSMVHx9ftU2XLl2Unp5%2B0YK1c%2BdOTZkyRQsWLNBNN91Utf7%2B%2B%2B9r9%2B7deuCBB6rWDh48qPj4%2BFqVK0lyuVzVbgd6PCdUXh64B%2BA5FRWVtsgZqJgfUDeBcr5w7tYfs6uZrQrWAw88oF69emnevHkaMGCAnM7q8bt163bRt3IoLy/X9OnTNWnSJL9yJUnNmjXTwoULdcUVV2jQoEHav3%2B//vM//5P3wAIAALVmq9dgHT58WO3atdPp06cVFhYmSSotLVWzZs3qtJ8dO3bo7rvvrtrH/7d%2B/Xp9/PHHWrRokY4cOaKWLVtqxIgRGjdunEJC6v9CPo/nRL0/tzE4nSGKi4tUUdFJ/iVSD8yvbgY/v83qCAgQ6ybeaOnX59ytP7vMrmVLM%2B%2BfWVe2uoIVEhKi22%2B/XRkZGRo06OwLI1euXKn8/HwtXrxYbdu2rdV%2BevToof379//g4/Hx8brtttuMZAYAAMHHVj9bOXv2bHXq1Endu3evWrvzzjvVrVs3ZWdnW5gMAADge7a6gvXhhx9q8%2BbNatq0adVaixYt9MQTT%2BiWW26xMBkAAMD3bHUFy%2Bfz6fTp09XWS0tLVVFRYUEiAACA6mxVsG6%2B%2BWZNnTpV%2B/btU2lpqbxer3bu3KmsrCz179/f6ngAAACSbHaL8De/%2BY3S09OVmprq955UPXr00IwZMyxMBgAA8D1bFawf//jHevXVV7Vv3z4dPnxYoaGhat%2B%2BvTp27Gh1NAAAgCq2KljnJCQkKCEhweoYAAAANbJVwXK73Zo1a5b%2B93//V9999121xz/55BMLUgEAAPizVcF6/PHHFRERoQkTJigiIsLqOAAAADWyVcH67LPP9O6779b5V%2BMAAAA0Jlu9TcOVV15pdQQAAICLslXByszM1NNPP63S0lKrowAAAPwgW90ifPHFF3X06FGtWrVKsbGxCgnx74fvvvuuRckAAAC%2BZ6uClZycbHUEAACAi7JVwXrkkUesjgAAAHBRtnoNliTt3LlTU6dO1T333CNJqqys1JtvvmlxKgAAgO/ZqmC98cYbuueee1RSUqJdu3ZJkr766ivNmDFD%2Bfn5FqcDAAA4y1YFa/HixZo3b55eeumlql/2fOWVV2rhwoX64x//aHE6AACAs2xVsD7//HMNHDhQkqoKliT16tVLR48etSoWAACAH1sVrLi4OBUWFlZbP3TokJo0aWJBIgAAgOpsVbB69%2B6txx57TAcOHJAkFRcX691339XEiRPVv39/a8MBAAD8k60K1tSpU1VWVqYhQ4bo1KlT6tOnj375y18qPj5ejz76qNXxAAAAJNnsfbBiY2O1YsUK7du3TwcPHlSTJk3UoUMHdejQwepoAAAAVWxVsM5JSEhQQkKC1TEAAABqZKuClZCQ4PfTg%2Bf75JNPGjENAABAzWxVsGbMmOFXsCoqKnTo0CG98847Gj9%2BvIXJAAAAvmergjV69Oga1//%2B978rNzdX//Zv/9bIiQAAAKqz1U8R/pCePXtqy5YtdfqcY8eOKT09Xb169VLv3r01ZcoUeb1eSdLevXv185//XN27d9fAgQP1hz/8oSFiAwCAy9RlUbA2bdokp7NuF%2BMefvhhRUdHa9OmTVqzZo0OHjyoOXPm6LvvvtNDDz2k3r17a%2BvWrXr%2B%2Bef1hz/8QevXr2%2Bg9AAA4HJjq1uEN910U7W1U6dOqbS09AdvH9bE6/UqMTFRWVlZioyMVGRkpFJTU7VixQpt3rxZ5eXlGj9%2BvEJDQ5WYmKgRI0YoLy9PgwYNMvntAACAy5StClZaWlq1nyIMDw/XVVddpeTk5FrvJzo6WtnZ2X5rX3zxhVwul/bu3atOnTopNDS06rHOnTtr5cqVlxYeAAAEDVsVrAkTJjTIft1ut1555RW9%2BOKLWrdunaKjo/0ej42NVXFxsSorKxUScvG7qgUFBfJ4PH5rTmeEXC6X0dwmhYaG%2BH1E3TA/oH6cTmvPGc7d%2BmN2F2argpWTk1Or7RwOh9LT02u17QcffKDx48crKytLffv21bp166pt4/P5Lvj%2BW%2BfLzc2tljU9PV0ZGRm13odVoqObWh3B1pgfUDdxcZFWR5DEuXspmF3NbFWw/vu//1vHjx/XqVOn1LRpUzmdTp04cUJNmjRRs2bN/LatTcF6%2B%2B23NWnSJD3%2B%2BONKTU2VJDVv3lyfffaZ33YlJSWKjY2t1dUr6eytzPNvWTqdESoqOlmrz7dCaGiIoqObyustU0VFpdVxbIf5AfVj9fMi52792WV2VpV4WxWsrKwsvfXWW5o8ebJat24tSTpy5IieffZZDR48WIMHD671vnbu3KkpU6ZowYIFfi%2BeT0pK0n/913%2BpvLy86icT3W63rr322lrv2%2BVyVbsd6PGcUHl54B6A51RUVNoiZ6BifkDdBMr5wrlbf8yuZra6cbpgwQI98cQTVeVKktq2bauZM2fqueeeq/V%2BysvLNX36dE2aNKnaTyb269dPzZo104svvqiysjJ99NFHys/Pr9NPKQIAgOBmq4L15Zdf%2Bv103zk/%2BtGPdPz48VrvZ9euXTpw4IBmzZqlrl27%2Bv3xeDx66aWX9Pe//1033XSTpk6dqszMTPXv39/gdwIAAC5ntrpFePXVV2vq1Kl6%2BOGH1bZtW4WEhOjo0aP6/e9/r06dOtV6Pz169ND%2B/fsvuM2KFSsuNS4AAAhStipYTz31lLKysnTXXXdV/VSfz%2BfTlVdeqRdeeMHidAAAAGfZqmAlJiZq3bp12rNnj7788kv5fD61bt1aSUlJtf4JPwAAgIZmq4J1TkxMjE6cOKE%2BffpYHQUAAKAaW132KSws1Lhx43Tbbbfp/vvvlyR5PB7dcccd%2BuqrryxOBwAAcJatCtYzzzyjyspK5eXlVd0SjIqKUmJiop555hmL0wEAAJxlq1uE77zzjv785z%2BrVatWVS9yb9KkiaZNm6ahQ4danA4AAOAsW13BOnPmTI2/MLlJkyYqLS21IBEAAEB1tipYV111lTZs2FBtPTc3Vx06dLAgEQAAQHW2ukU4duxYTZ48WevWrVNFRYWeeuop7d27V7t379bzzz9vdTwAAABJNruCNWjQIC1evFjl5eX6yU9%2Bog8//FDx8fF69dVXNXDgQKvjAQAASLLZFSy3260%2Bffrw/lcAACCg2eoK1pgxY1RRUWF1DAAAgAuyVcEaMmSIli1bJp/PZ3UUAACAH2SrW4THjx/Xpk2btGTJEl155ZUKCwvze/zVV1%2B1KBkAAMD3bFWw4uLi1K9fP6tjAAAAXJAtClZGRoYWLlyo7OzsqrWFCxcqIyPDwlQAAAA1s8VrsLZs2VJt7T/%2B4z8sSAIAAHBxtihYNeGF7gAAIFDZtmCd%2B2XPAAAAgca2BQsAACBQUbAAAAAMs8VPEZ45c0ZZWVkXXZs/f35jxgIAAKiRLQpW9%2B7dVVBQcNE1AACAQGCLgrVixQqrIwAAANQar8ECAAAwjIIFAABgGAULAADAsKAtWFu3blXfvn2VmZnpt/7%2B%2B%2B%2BrU6dO6tq1q9%2Bf3bt3W5QUAADYjS1e5G7akiVLlJ%2Bfr3bt2lV77MSJE2rfvr3%2B8pe/WJAMAABcDoLyClZ4ePgPFqySkhLFxMRYkAoAAFwugrJgjRkzRlFRUTU%2B5vV6VVJSonvuuUc9e/bU0KFDtXr16kZOCAAA7CwobxFeSEREhFq1aqVf//rX6ty5szZs2KBHH31ULVu2VJ8%2BfWq1j4KCAnk8Hr81pzNCLperISIbERoa4vcRdcP8gPpxOq09Zzh364/ZXRgF6zyjRo3SqFGjqv4%2BdOhQbdy4Ua%2B//nqtC1Zubq5ycnL81tLT05WRkWE0a0OIjm5qdQRbY35A3cTFRVodQRLn7qVgdjWjYNVCmzZttGfPnlpvn5aWpuTkZL81pzNCRUUnTUczJjQ0RNHRTeX1lqmiotLqOLbD/ID6sfp5kXO3/uwyO6tKPAXrPCtXrlRMTIxSUlKq1g4cOKC2bdvWeh8ul6va7UCP54TKywP3ADynoqLSFjkDFfMD6iZQzhfO3fpjdjWjYJ2nrKxMCxYsUHx8vDp16qS//vWv2rp1q1auXGl1NAAAYBNBWbC6du0qSSovL5ckbdy4UZLkdrs1ZswYlZaWKiMjQ0VFRerQoYNeeOEFdenSxbK8AADAXoKyYLnd7h98zOFwKD09Xenp6Y2YCAAAXE742UoAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAw4LyndwBAIFh8PPbrI5QJ%2Bsm3mh1BNgEV7AAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGFOqwMAMGPw89usjgAA%2BCeuYAEAABhGwQIAADAsaAvW1q1b1bdvX2VmZlZ7bO3atRo6dKiuu%2B46DRs2TO%2B8844FCQEAgF0F5WuwlixZovz8fLVr167aYx9//LGmTZumnJwc9e7dW3/96181YcIErV%2B/XldccYUFaQEAgN0E5RWs8PDwHyxY%2Bfn56tevn/r166fw8HDdcccdSkhI0Jo1ayxICgAA7CgoC9aYMWMUFRVV42N79%2B5VYmKi31rnzp3ldrsbIxoAALgMBOUtwgspLi5WTEyM31pMTIz%2B8Y9/1HofBQUF8ng8fmtOZ4RcLpeRjA0hNDTE7yPqhvkBwcHp5Bw/h%2Be9C6Ng1ZLD4aj1trm5ucrJyfFbS09PV0ZGhulYxkVHN7U6gq0xP%2BDydtu8rVZHqJMdswc1%2BNfgea9mFKzzxMXFqaioyG%2BtuLhYcXFxtd5HWlqakpOT/daczggVFZ00krEhhIaGKDq6qbzeMlVUVFodx3aYH4BA1JD/37HL815cXKQlX5eCdZ6kpCTt2bPHb83tdmvIkCG13ofL5ap2O9DjOaHy8sA9AM%2BpqKi0Rc5AxfwABJLGeD7iea9m3Dg9z8iRI/Xee%2B9p8%2BbNOnXqlPLz8/XZZ5/pzjvvtDoaAACwiaC8gtW1a1dJUnl5uSRp48aNks5eqbrmmms0b948Pffcczp69Kg6duyoxYsXq2XLlpblBQAA9hKUBetib7kwcOBADRw4sJHSAACAyw23CAEAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMC8p3cgdqY/Dz26yOAACwKa5gAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAY5rQ6QCC65ZZb5PF45HA4qtZGjhypxx9/3MJUAADALihYNfB6vVq%2BfLmuv/56q6MAAAAb4hbheSoqKnTy5EnFxMRYHQUAANgUV7DO4/V65fP5tGjRIu3cuVM%2Bn0/JycmaMmWKIiMjrY4HAABsgIJ1ntOnT6tLly66/vrrlZ2drWPHjikzM1MzZ87Us88%2BW6t9FBQUyOPx%2BK05nRFyuVwNEdmI0NAQv48AAPtzOhvuOZ3/b1yYw%2Bfz%2BawOEei2bNmi8ePHa9euXQoLC7vo9osWLVJOTo7fWnp6ujIyMoxn6/HYeuP7bCg7Zg%2ByOkKd2Gm2AFATuz3vXk64glULbdq0UUVFhb755htdccUVF90%2BLS1NycnJfmtOZ4SKik42VERbCPbvHwAaW0M%2B74aGhig6uqm83jJVVFQ22Ne5VHFx1ry8h4J1nn379mnNmjWaPHly1dqBAwcUFhZW61t8Lper2rYezwmVlwfuAdgYgv37B4DG1hjPuxUVlTy/14CCdZ64uDj96U9/UlxcnMaMGaNjx45p0aJFGjVqlEJDQ62OBwAAbIBXpp2nVatWevnll7Vhwwb16tVL48aN08033%2Bx3RQsAAOBCuIJVg549e2rlypVWxwAAADYPS3egAAALbElEQVTFFSwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAw3gndwAALlODn99mdYRaWzfxRqsjGMUVLAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgmNPqAAgeg5/fZnUEAAAaBVewAAAADKNgAQAAGEbBAgAAMIyCVYMjR47o/vvvV69evXTLLbdozpw5qqiosDoWAACwCQpWDTIyMtS6dWtt3LhRy5Yt06ZNm7Rs2TKrYwEAAJugYJ3H7XZr//79mjRpkqKiotSuXTvdd999ysvLszoaAACwCd6m4Tx79%2B5VfHy8YmJiqtYSExN16NAhlZaWqlmzZhfdR0FBgTwej9%2Ba0xkhl8tlPC8AAJcDp/PyuuZDwTpPcXGxoqOj/dbOla2ioqJaFazc3Fzl5OT4rT3yyCOaMGGCuaD/tGP2ICP7KSgoUG5urtLS0iiC9cD8Lg3zqz9md2mYX/0xuwu7vOpiA/H5fJIkh8NRq%2B3T0tL0%2Buuv%2B/1JS0tryIiXzOPxKCcnp9qVN9QO87s0zK/%2BmN2lYX71x%2BwujCtY52nevLmKior81kpKSuRwOBQXF1erfbhcLto8AABBjCtY50lKStIXX3yhwsLCqjW3262OHTsqMjLSwmQAAMAuKFjnSUxMVLdu3TR//nyVlpbqwIEDWrp0qUaPHm11NAAAYBOhM2fOnGl1iEBz8803a926dXrmmWe0YcMGpaamaty4cbV%2BDZZdRUZG6oYbbuBKXT0xv0vD/OqP2V0a5ld/zO6HOXznXsENAAAAI7hFCAAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBSuIHDlyRPfff7969eqlW265RXPmzFFFRUW17V577TUlJCSoa9eufn%2BOHz9uQerAsXXrVvXt21eZmZkX3K6yslLz58/Xrbfeqp49e2rcuHE6fPhwI6UMXLWd38KFC9W5c2e/Y69Hjx6NlDIwHTt2TOnp6erVq5d69%2B6tKVOmyOv11rjt2rVrNXToUF133XUaNmyY3nnnnUZOG3hqO7/3339fnTp1qvbct3v3bgtSB4Z9%2B/bp3nvvVffu3dW3b19NnDhRHo%2Bnxm2XLVumlJQUde/eXaNHjw7quUkUrKCSkZGh1q1ba%2BPGjVq2bJk2bdqkZcuWVdvuxIkT6tu3r9xut9%2BfFi1aNH7oALFkyRLNmjVL7dq1u%2Bi2K1as0BtvvKGXX35Zmzdv1k9/%2BlM98sgjCubfSlWX%2BXm9Xg0fPtzv2NuxY0cjpAxcDz/8sKKjo7Vp0yatWbNGBw8e1Jw5c6pt9/HHH2vatGmaNGmS3n//fY0dO1YTJkzQl19%2BaUHqwFHb%2BZ04cULt27ev9tzXrVs3C1Jb7/Tp0xo7dqxuuOEGbd%2B%2BXatXr5bH41FNv8J448aN%2Bv3vf6%2B5c%2Bdq27ZtuvXWWzV%2B/HidPHmy8YMHCApWkHC73dq/f78mTZqkqKgotWvXTvfdd5/y8vKqbVtSUqKYmBgLUgau8PBw5efn16og5OXl6Re/%2BIWuuuoqRUZGauLEiTp06JA%2B%2BuijRkgamOoyP6/Xy/H3/3i9XiUmJiorK0uRkZFq2bKlUlNTayyd%2Bfn56tevn/r166fw8HDdcccdSkhI0Jo1ayxIHhjqMj%2Be%2B/yVlZUpMzNTDz74oMLCwtSiRQulpKTo008/rbZtXl6ehg0bpmuvvVZNmjTRuHHjFBISos2bNzd%2B8ABBwQoSe/fuVXx8vN%2BTR2Jiog4dOqTS0lK/bb1erw4fPqwRI0aoR48euuuuu7Rt27bGjhxQxowZo6ioqItu99133%2Bkf//iHEhMTq9YiIyP1k5/8RG63uyEjBrTazk86e/x99NFHGjp0qHr27Kmf//zn2rNnTwMnDFzR0dHKzs72u4L8xRdfyOVyVdt27969fseeJHXu3Dmoj726zM/r9aqkpET33HOPevbsqaFDh2r16tWNGTegxMTEaMSIEXI6nZKkw4cPa9WqVbr99turbXv%2BsedwOJSQkBDUxx4FK0gUFxcrOjrab%2B1c2SoqKvJbj42NlcvlUnZ2tt555x3dcccdevDBB3XgwIFGy2tXJSUl8vl81f4VHBMTU23OqFnLli3lcrn00ksvadOmTUpKStLYsWNVWFhodbSA4Ha79corr2j8%2BPHVHisuLubYu4gLzS8iIkKtWrVSVlaW3n33XT3wwAOaNm2atm/fbkHSwHHs2DElJSUpJSVF3bp1U0ZGRrVtOPaqo2AFsXOvCXI4HH7rEyZM0EsvvaSOHTsqIiJC9913X9DfZrhUPp%2Bv2pxRs6eeekrz589XfHy8oqKiNHnyZIWFhemtt96yOprlPvjgA40bN05ZWVnq27dvrT%2BPY%2B%2Bsi81v1KhRWr58uf7lX/5F4eHhGjp0qAYMGKDXX3/dgrSBIz4%2BXm63W%2BvXr9fBgwc1efLkWn1esD/vUbCCRPPmzav9S6KkpEQOh0NxcXEX/fw2bdqooKCgoeJdNmJjYxUSElLjrJs3b25RKnsLDQ3VFVdcEfTH39tvv60HHnhAv/nNbzRmzJgat4mLi6t27BUXF9fqHL/c1WZ%2BNeG57yyHw6H27dsrMzNTa9eurXZFuaZjr6SkJKiPPQpWkEhKStIXX3zhd1K43W517NhRkZGRftu%2B/PLL%2Btvf/ua3duDAAbVt27ZRstpZeHi4rr76au3du7dqzev16vPPPw/an0SqC5/Pp7lz52r//v1Va2fOnNHnn38e1Mffzp07NWXKFC1YsECpqak/uF1SUlK116u53W5de%2B21DR0xoNV2fitXrtRf/vIXv7Vgfu7btm2bUlJSVFlZWbUWEnK2Npx7XdY5SUlJfs97FRUV%2Bvjjj4P62KNgBYnExER169ZN8%2BfPV2lpqQ4cOKClS5dq9OjRkqRBgwZV/VTN8ePH9eSTT%2BrQoUM6deqUli5dqiNHjmjYsGFWfgsB6%2Buvv9agQYN05MgRSdLo0aO1fPlyHThwQKWlpZo3b17V%2Bzqhuv8/P4fDocOHD%2Bu3v/2tvv76a508eVLz5s1TWFiYBgwYYHVUS5SXl2v69OmaNGmSbrrppmqP33vvvXrzzTclSSNHjtR7772nzZs369SpU8rPz9dnn32mO%2B%2B8s7FjB4y6zK%2BsrEy//e1vtWfPHp05c0Zvvvmmtm7dWvU8GWySkpLk9Xo1b948lZWVqbCwUIsWLVKPHj0UHR3t9/%2BN0aNHa9WqVdq1a5fKysr04osvKiwsTP3797f2m7CQ8%2BKb4HKxcOFCzZw5U8nJyYqKilJqaqr%2B/d//XZJ06NAhffvtt5KkrKws%2BXw%2BjRkzRt9%2B%2B62uueYa/fGPf1SrVq2sjG%2Bpc%2BWovLxc0tn3fJHOXh04c%2BaMDh06pNOnT0s6%2BzqO48eP6/7779fJkyd13XXXKScnx5rgAaIu85s9e7ays7M1bNgwnTlzRl27dtXy5csVERFhTXiL7dq1SwcOHNCsWbM0a9Ysv8fWr1%2BvI0eOqKSkRJJ0zTXXaN68eXruued09OhRdezYUYsXL1bLli2tiB4Q6jK/MWPGqLS0VBkZGSoqKlKHDh30wgsvqEuXLlZEt1xMTIyWLl2q2bNnq3fv3oqIiFDv3r01e/ZsSf7/3/jZz36mX//613r00Ufl8XjUpUsXvfzyy2rSpImV34KlHL5gfvdDAACABsAtQgAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAw7P8Azak0hqEyNwUAAAAASUVORK5CYII%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common2405886255420267171\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.87398338317871</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2.51393055915833</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.540061235427856</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2.27702665328979</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.6732859611511202</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.31331729888916</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.8372292518615703</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2.29035258293152</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2.06600475311279</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2.08178615570068</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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 (145)</td>\n",
       "        <td class=\"number\">145</td>\n",
       "        <td class=\"number\">93.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme2405886255420267171\">\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\">0.37791371345520003</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.41938924789428705</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.540061235427856</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.554633140563965</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.621130466461182</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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\">2.80780839920044</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2.8371548652648904</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2.89389109611511</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2.89863920211792</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3.11748456954956</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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_Economy..GDP.per.Capita.\">Economy..GDP.per.Capita.<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>155</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>0.98472</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>1.8708</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.6%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-7353171852374117981\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAATJJREFUeJzt3NFpwzAUQNGmZKQM0Z363Z0yRHZSFyiXuOBYkc/5N%2Bjn8vQQ%2BDLGGB/Anz6PPgDM7Hr0AXi92/d98zePn68dTjI/EwSCQCAIBIIdZDL2g7mYIBAEAkEgEOwgC/jP3sJzTBAIAoEgEAgCgSAQCAKBIBAIAoEgEAhe0nfkhfv9mSAQBAJBIBAEAsGSvoGl%2B3xMEAgCgXDaK5brEs8wQSAIBMISVyzXJfZigkAQCIQlrljs76z/DDZBIAgEgkAgCATCdEu6Nw1mYoJAEAgEgUAQCITplnTWscLruwkCQSAQBAJBIBAuY4xx9CFgViYIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIhF8VyB0LfYX2lwAAAABJRU5ErkJggg%3D%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-7353171852374117981,#minihistogram-7353171852374117981\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-7353171852374117981\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-7353171852374117981\"\n",
       "                                                  aria-controls=\"quantiles-7353171852374117981\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-7353171852374117981\" aria-controls=\"histogram-7353171852374117981\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-7353171852374117981\" aria-controls=\"common-7353171852374117981\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-7353171852374117981\" aria-controls=\"extreme-7353171852374117981\"\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-7353171852374117981\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>0.24148</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>0.66337</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>1.0646</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>1.318</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>1.5479</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>1.8708</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>1.8708</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>0.65466</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>0.42079</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.42732</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-0.67675</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>0.98472</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.34822</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>-0.39069</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>152.63</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>0.17707</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>1.3 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-7353171852374117981\">\n",
       "            <img 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WPrVixQvfdd5%2BOHDliY2UAAAA/8KuANXv2bLVo0UIdOnQoHxs4cKDatm2rtLQ0GysDAAD4gV9dIvzXv/6lDz/8UHXr1i0fu/HGG/Xcc8%2Bpd%2B/eNlYGAADwA786g2VZls6dO1dhvKioSKWlpTZUBAAAUJFfBaw777xTkydP1t69e1VUVCSPx6OdO3dq/Pjx6tWrl93lAQAASPKzS4TPPPOMkpOTlZCQoKCgoPLxjh07avr06TZWBgAA8AO/Clg/%2B9nP9Oc//1l79%2B7VoUOHFBISoltuuUXNmze3uzQAAIByfhWwysTGxio2NtbuMgAAAC7LrwJWVlaWZs2apS%2B//FLff/99he1ffPGFDVUBAAB486uANW3aNNWrV09jx45VvXr17C4HAADgsvwqYH399dfatm1bhT%2BNAwAA4Ev86m0abr75ZrtLAAAAqJRfBazU1FT99re/VVFRkd2lAAAAXJFfXSJcuHChvvnmG7333nuKjIxUcLB3Pty2bZtNlQEAAPzArwJWfHy83SUAAABUyq8C1pNPPml3CQAAAJXyq3uwJGnnzp2aPHmyHn30UUnShQsX9Le//c3mqgAAAH7gVwHrr3/9qx599FEVFhZq165dkqRvv/1W06dPV2Zmps3VAQAAXORXAevNN9/UnDlztGjRovI/9nzzzTdrwYIF%2BuMf/2hzdQAAABf5VcA6fPiw%2BvTpI0nlAUuSunTpom%2B%2B%2BcausgAAALz4VcCKiopSXl5ehfGDBw%2BqTp06NlQEAABQkV8FrK5du%2BrZZ59Vdna2JKmgoEDbtm3TuHHj1KtXL3uLAwAA%2BP/8KmBNnjxZxcXFuv/%2B%2B3X27Fl169ZNjz/%2BuGJiYvT000/bXR4AAIAkP3sfrMjISL3zzjvau3evDhw4oDp16qhZs2Zq1qxZtefaunWrJk%2BerC5duujVV18tH//444/161//WrVq1fLaf/ny5Wrbtu1P7gEAAAQ%2BvwpYZWJjYxUbG3vNX79kyRJlZmaqadOmFbadOnVKt9xyi/73f//3p5QIAAAczK8CVmxsrNerBy/1xRdfVGme2rVrKzMzU7Nnz9bZs2e9thUWFioiIuIn1QkAAJzNrwLW9OnTvQJWaWmpDh48qC1btmj06NFVnicpKemK2zwejwoLC/Xoo49q7969uummmzRy5EgNHDiwyvPn5OQoNzfXa8zlqie3213lOaoiJCTY62Ogok8AvsIpj1On9FmT/CpgDR069LLj//znP5WRkaEHHnjgJ3%2BPevXqqWHDhnrqqafUsmVLrV%2B/Xk8//bQaNGigbt26VWmOjIwMpaene40lJycrJSXlJ9d3OeHhdWtkXl9Dn1fX8dl1hisBcKmyxyc/j1AZvwpYV9KpUyeNGTPGyFxDhgzRkCFDyj8fMGCANmzYoNWrV1c5YCUmJio%2BPt5rzOWqp/z800ZqLBMSEqzw8LryeIpVWnrB6Ny%2BhD4B%2BAqPp9gRj9NA%2BnkUFRVqy/cNiIC1adMmuVw110rjxo21e/fuKu/vdrsrXA7MzT2lkpKaOUhLSy/U2Ny%2BhD4B2K0sbDjlceqUPmuCXwWsHj16VBg7e/asioqKrnj5sLpWrFihiIgI9e3bt3wsOztbTZo0MTI/AAAIfH4VsBITEyu8irB27dq69dZbK1ySu1bFxcWaP3%2B%2BYmJi1KJFC33wwQfaunWrVqxYYWR%2BAAAQ%2BPwqYI0dO9bIPG3atJEklZSUSJI2bNggScrKylJSUpKKioqUkpKi/Px8NWvWTG%2B88YZatWpl5HsDAIDA51cB69JX5l1JUFCQkpOTr7g9Kyur0q%2B92tcDAABcjV8FrL/85S86efKkzp49q7p168rlcunUqVOqU6eOwsLCvPYlIAEAALv4VcAaP368Nm7cqIkTJ%2Bqmm26SJB05ckQvv/yy%2BvXrp379%2BtlcIQAAgJ8FrPnz55e/yq9MkyZNNGPGDCUmJhKwAACAT/Cr98A/fvy4QkJCKozfcMMNOnnypA0VAQAAVORXAeu2227T5MmTtWfPHnk8HhUVFWnv3r165pln1KJFC7vLAwAAkORnlwhnzpyp8ePH68EHHyx/PyzLsnTzzTfrjTfesLk6AACAi/wqYMXFxWnt2rXavXu3jh8/LsuydNNNN6l169YKDvark3EAACCA%2BVXAKhMREaFTp05V%2BY8vAwAAXE9%2BddonLy9PI0aM0D333KORI0dKknJzc9W/f399%2B%2B23NlcHAABwkV8FrBdffFEXLlzQypUryy8J1q9fX3FxcXrxxRdtrg4AAOAiv7pEuGXLFv33f/%2B3GjZsWH6Te506dTRlyhQNGDDA5uoAAAAu8qszWOfPn5fb7a4wXqdOHRUVFdlQEQAAQEV%2BFbBuvfVWrV%2B/vsJ4RkaGmjVrZkNFAAAAFfnVJcLhw4dr4sSJWrt2rUpLSzVz5kzt2bNHn332mebNm2d3eQAAAJL8LGDde%2B%2B9ioiI0PLly/Xzn/9c//rXv9SsWTM988wzatu2rd3lIcD0m7fd7hIAAH7KrwJWVlaWunXrxvtfAQAAn%2BZX92AlJSWptLTU7jIAAACuyq8C1v33369ly5bJsiy7SwEAALgiv7pEePLkSW3atElLlizRzTffrFq1anlt//Of/2xTZQAAAD/wq4AVFRWlnj172l0GAADAVflFwEpJSdGCBQuUlpZWPrZgwQKlpKTYWBUAAMDl%2BcU9WJs3b64w9vvf/96GSgAAACrnFwHrcrjRHQAA%2BCq/DVhlf%2BwZAADA1/htwAIAAPBVBCwAAADD/OJVhOfPn9f48eMrHZs7d%2B71LAsAAOCy/CJgdejQQTk5OZWOAQAA%2BAK/CFjvvPOO3SUAAABUGfdgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMP84m0aEBj6zdtudwkAAFwXnMECAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwxwbsLZu3aru3bsrNTW1wrb3339fAwYMUPv27TVo0CBt2bLFhgoBAIC/cuTbNCxZskSZmZlq2rRphW2ff/65pkyZovT0dHXt2lUffPCBxo4dq3Xr1qlRo0Y2VAsAAPyNI89g1a5d%2B4oBKzMzUz179lTPnj1Vu3Zt9e/fX7GxsVqzZo0NlQIAAH/kyICVlJSk%2BvXrX3bbnj17FBcX5zXWsmVLZWVlXY/SAABAAHDkJcKrKSgoUEREhNdYRESE9u/fX%2BU5cnJylJub6zXmctWT2%2B02UmOZkJBgr48AgJrllJ%2B7TumzJhGwqigoKKjK%2B2ZkZCg9Pd1rLDk5WSkpKabLkiSFh9etkXkBAN7Kft465eeuU/qsCQSsS0RFRSk/P99rrKCgQFFRUVWeIzExUfHx8V5jLlc95eefNlJjmZCQYIWH15XHU6zS0gtG5wYAVOTxFDvi524gPb9ERYXa8n0JWJdo3bq1du/e7TWWlZWl%2B%2B%2B/v8pzuN3uCpcDc3NPqaSkZg7S0tILNTY3AOAHZWHDKT93ndJnTeDi6iUGDx6sf/zjH/rwww919uxZZWZm6uuvv9bAgQPtLg0AAPgJR57BatOmjSSppKREkrRhwwZJF89U3X777ZozZ45eeeUVffPNN2revLnefPNNNWjQwLZ6AQCAf3FkwKrsLRf69OmjPn36XKdqAABAoOESIQAAgGEELAAAAMMIWAAAAIYRsAAAAAxz5E3uAABci3vmbLW7hGpZO%2B4Ou0twLM5gAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIa57C4AP03HZ9fZXQIAALgEZ7AAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMF5FeBm9e/dWbm6ugoKCyscGDx6sadOm2VgVAADwFwSsy/B4PHr77bf1i1/8wu5SAACAH%2BIS4SVKS0t1%2BvRpRURE2F0KAADwU5zBuoTH45FlWXrttde0c%2BdOWZal%2BPh4TZo0SaGhoVWaIycnR7m5uV5jLlc9ud1uo7WGhJCPAQBX5nJd2/NE2fMLzzPXjoB1iXPnzqlVq1b6xS9%2BobS0NB09elSpqamaMWOGXn755SrNkZGRofT0dK%2Bx5ORkpaSk1ETJAABcVlRU1U4MXEl4eF1DlThPkGVZlt1F%2BLrNmzdr9OjR2rVrl2rVqlXp/tfzDFb8S5uNzgkACBwfTLjzmr4uJCRY4eF15fEUq7T0guGqrq%2BfGjKvFWewqqBx48YqLS3Vd999p0aNGlW6v9vtrhCmcnNPqaTEvw9SAIB/%2BanPO6WlF3juukZcXL3E3r17K1wKzM7OVq1atYyfgQIAAIGJM1iXiIqK0p/%2B9CdFRUUpKSlJR48e1WuvvaYhQ4YoJCTE7vIAAIAf4AzWJRo2bKjFixdr/fr16tKli0aMGKE777xTEydOtLs0AADgJziDdRmdOnXSihUr7C4DAAD4Kc5gAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDXHYXAAAAaka/edvtLqHK1o67w%2B4SjOIMFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsC7jyJEjGjlypLp06aLevXvrpZdeUmlpqd1lAQAAP0HAuoyUlBTddNNN2rBhg5YtW6ZNmzZp2bJldpcFAAD8BAHrEllZWdq3b58mTJig%2BvXrq2nTpho2bJhWrlxpd2kAAMBPuOwuwNfs2bNHMTExioiIKB%2BLi4vTwYMHVVRUpLCwsErnyMnJUW5urteYy1VPbrfbaK0hIeRjAEBgcLkC6zmNgHWJgoIChYeHe42Vha38/PwqBayMjAylp6d7jT355JMaO3asuUJ1Mcj9%2BqavlJiYaDy8%2BZKcnBxlZGTQZwBxSq/0GXic0qtT%2BqxJgRUXa4hlWZKkoKCgKu2fmJio1atXe/1LTEw0Xldubq7S09MrnC0LNPQZeJzSK30GHqf06pQ%2BaxJnsC4RHR2t/Px8r7HCwkIFBQUpKiqqSnO43W4SPwAADsYZrEu0bt1ax44dU15eXvlYVlaWmjdvrtDQUBsrAwAA/oKAdYm4uDi1bdtWc%2BfOVVFRkbKzs7V06VINHTrU7tIAAICfCJkxY8YMu4vwNXfeeafWrl2rF198UevXr1dCQoJGjBhR5XuwrqfQ0FB17tw54M%2Bu0WfgcUqv9Bl4nNKrU/qsKUFW2R3cAAAAMIJLhAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbB8zJEjRzRy5Eh16dJFvXv31ksvvaTS0tLL7rts2TL17dtXHTp00NChQ/XZZ5%2BVbzt79qymTZumu%2B66S127dtXYsWO9/oC13arT57vvvqu%2Bffuqffv2GjBggDZs2FC%2BbcGCBWrZsqXatGlT/q9jx47Xq41KVbXPVatWKTY21quPNm3a6OTJk5J8fz2lqvc6fPjwCn3GxcVpypQpknx/TSVp69at6t69u1JTU6%2B634ULFzR37lz98pe/VKdOnTRixAgdOnSofHt%2Bfr7%2B8z//U927d1ePHj00ZcoUFRcX13T5VVadPtPT0xUfH6/27dvroYce0o4dO8q3T548WXFxcV5rOnDgwJouv8qq2mdlx6avr6dU9V779u1b4XHasmVLpaenS/L9NfUJFnxKQkKCNXXqVMvj8Vhff/211adPH%2Butt96qsN8HH3xgdezY0dq1a5dVXFxsLVmyxOrevbtVVFRkWZZlzZ492xo0aJB17Ngxq6CgwBo7dqw1atSo693OFVWnzw4dOlg7duywzp8/b61evdpq1aqVdfjwYcuyLGvmzJnW1KlTr3f5VVbVPpcuXWoNGzbsivP4%2BnpaVtV7vVRkVvtVAAAJi0lEQVRxcbEVHx9vbdu2zbIs31/TxYsXW3369LGGDBlijRs37qr7Llu2zOrdu7e1f/9%2Bq6ioyJo1a5bVv39/68KFC5ZlWdaYMWOsUaNGWd9995114sQJa%2BjQodbzzz9/PdqoVHX6XLp0qdWrVy/ryy%2B/tM6dO2elp6dbnTt3tk6dOmVZlmX95je/sRYuXHg9yq626vRZ2bHpy%2BtpWdXr9VI5OTlW165dra%2B%2B%2BsqyLN9eU1/BGSwfkpWVpX379mnChAmqX7%2B%2BmjZtqmHDhmnlypUV9l25cqUGDRqkdu3aqU6dOhoxYoSCg4P14YcfqrS0VKtXr9aYMWPUqFEjRUREaNy4cdq8ebNOnDhhQ2feqtPnmTNn9NRTT6lDhw5yuVx64IEHFBoaql27dkmSPB6PIiIirncLVVKdPgsLC6/Yh6%2Bvp1S9Xi/1%2Buuvq3Xr1rrjjjsk%2BfaaSlLt2rWVmZmppk2bVrrvypUr9dhjj%2BnWW29VaGioxo0bp4MHD%2BrTTz/VyZMntWnTJqWmpio6Olput1ujR4/WX/7yF50/f/46dHJ11elTkiZNmqTbbrtNN9xwgx577DEVFBToyy%2B/lOTba1qdPq/Wh6%2Bvp1T9Nf2xtLQ0PfDAA2revLkk315TX0HA8iF79uxRTEyM10EbFxengwcPqqioqMK%2BcXFx5Z8HBQUpNjZWWVlZOnTokE6dOqVWrVqVb/%2B3f/s31alTR3v27Kn5RipRnT4HDhyoX/3qV%2BWfezwenT59Wg0bNiz//NNPP9WAAQPUqVMnPfLII9q9e/f1aaQS1enT4/Ho0KFDevjhh9WxY0c9%2BOCD2r59uyT5/HpK1ev1x44dO6b/%2Bq//0qRJk8rHfHlNJSkpKUn169evdL/vv/9e%2B/fv93qchoaG6uc//7mysrL0xRdfKCQkRC1atCjfHhcXpzNnzujAgQM1Unt1VLVPSXrsscfUr1%2B/8s%2BPHz8uSXK73ZIurunGjRvVt29fdenSRaNGjdLhw4fNF30NqtPn1Y5NX19PqXq9/tiuXbu0fft2JScnl4/58pr6CgKWDykoKFB4eLjXWNkTVn5%2BfoV9L/3tISIiQvn5%2BSooKJCkCnOFh4dXmMcO1enzxyzL0tSpU9WuXTt17txZktSgQQO53W4tWrRImzZtUuvWrTV8%2BHCfuD%2BpOn1GRkbK7XYrLS1NW7ZsUf/%2B/fXEE08oOzvb59dTuvY1XbJkifr166eYmJjyMV9e0%2BooLCyUZVlXfZyGhYUpKCjIa5t09f8zX3fu3DlNnTpVAwcOVOPGjSVJMTExatKkif70pz9p7dq1CgsL0%2BOPP65z587ZXG31XO3YDNT1lKQ33nhDSUlJCg0NLR8LlDWtSS67C8DVWZYlSV4P2qvte7X9Kttup8r6PH/%2BvJ5%2B%2Bmnt379fb7/9dvn4zJkzvfabOHGi3n//fW3cuFEPP/xwzRV8ja7U59ixY70%2BHzZsmP76179qzZo1uuuuu644l6%2Bup1T5mno8HmVmZmrVqlVe4/62ptVVlXXz5XW9mqKiIiUnJyskJETPP/98%2BfiiRYu89nvhhRfUuXNnffLJJ%2BrWrdv1LvOaXe3YrFOnzhW/zl/XU5Kys7P1j3/8Q7/73e%2B8xgNlTWsSZ7B8SHR0dIXfdAoLCxUUFKSoqCiv8aioqMvuGxUVpejoaEkVf2vyeDzl2%2BxUnT6li5dannjiCR07dkzLly/XjTfeeMW5Q0JC1KhRI%2BXk5Bivu7qq2%2BelGjdurJycHJ9fT%2Bnaet24caMaNWqk22%2B//apz%2B9KaVkdkZKSCg4Mv%2B/8SHR2t6OhonTp1yuuVlmVnK31lXasjLy9PjzzyiOrXr6/f//73qlev3hX3DQsLU2RkpM/cQ3itfnxsBtp6llm7dq06deqkyMjIq%2B4XKGtqEgHLh7Ru3VrHjh3zuhSSlZWl5s2be52aLdv3x/fflJaW6vPPP1e7du3UpEkTRUREeG3/8ssvde7cObVu3brmG6lEdfq0LEupqalyuVxatmyZ15O1ZVn63e9%2Bp3379pWPnT9/XocPH1aTJk1qvpFKVKfPxYsX6//%2B7/%2B8xrKzs9WkSROfX0%2Bper2W2bBhQ4Wzc76%2BptVRu3Zt3XbbbV7r5vF4dPjwYbVt21YtW7aUZVnau3dv%2BfasrCyFh4erWbNmdpR8zc6ePasnnnhCrVq10oIFC7zO5hQVFWnWrFleATkvL095eXl%2BtaaVHZuBtJ4/tmHDBvXs2dNrLFDWtKYRsHxIXFyc2rZtq7lz56qoqEjZ2dlaunSphg4dKkm69957y99bZujQoXrvvfe0a9cuFRcXa%2BHChapVq5Z69eqlkJAQDR48WIsWLdLx48eVn5%2BvV155Rffcc89Vz/5cL9Xpc82aNdq/f7/mz5%2Bv2rVre80TFBSkQ4cO6YUXXtCJEyd0%2BvRpzZkzR7Vq1dLdd9993fu6VHX6PHnypJ5//nkdPHhQZ8%2Be1dKlS3XkyBENGjTI59dTql6vZT7//PMKP4x9fU0rc%2BLECd177706cuSIpIuP07ffflvZ2dkqKirSnDlzyt9HKTo6Wn379tW8efOUl5enb7/9Vq%2B//roeeughuVy%2BfffGpX3%2B4Q9/kMvl0syZMxUc7P20EhYWpk8%2B%2BUSzZs1SQUGBCgsLNXPmTLVs2VLt27e3o/wq%2B3GflR2b/ryeUsU1lS7eT/fVV1%2BV30tXxp/X9Hry/VV3mAULFmjGjBmKj49X/fr1lZCQUP4quoMHD%2BrMmTOSpLvuuktPPfWUnn76aeXm5qpVq1ZavHhx%2BW%2BOKSkpOnPmjBITE1VSUqLu3btr%2BvTptvV1qar2uWrVKh09erT8pvYy//7v/65Zs2Zp9uzZSktL06BBg3T%2B/Hm1adNGb7/99lUvT1xPVe1z/PjxsixLSUlJOnPmjG6//Xb98Y9/LH%2B1pK%2Bvp1T1Xsvk5uaWv8rsx3x9Tdu0aSNJKikpkaTyN77NysrS%2BfPndfDgwfIbfYcMGaKTJ09q5MiROn36tNq3b1/%2BRo3SxftWZsyYof79%2B8vlcunuu%2B%2Bu9A0gr5fq9Llq1SodP35c7dq185pj9OjRGjNmjF5//XXNnj1bffv2VUhIiDp27Kg333yzQhizQ3X6rOzY9OX1lKrXq3TxEmdJScllH6e%2BvKa%2BIsgquxMVAAAARhA1AQAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMCw/wfxPPbUXdV9UgAAAABJRU5ErkJggg%3D%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-7353171852374117981\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.4884122610092199</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.964434325695038</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.36711055040359497</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.381430715322495</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.15655755996704</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.1614590883255</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.07062232494354</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.1531838178634601</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.10970628261566</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.233442038297653</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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 (145)</td>\n",
       "        <td class=\"number\">145</td>\n",
       "        <td class=\"number\">93.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-7353171852374117981\">\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\">0.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0226431842893362</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.09162256866693501</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0921023488044739</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.11904179304838199</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.6263433694839498</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.63295245170593</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.69227766990662</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.74194359779358</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.8707656860351598</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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_Family\">Family<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>155</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>1.1889</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>1.6106</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.6%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-1244158626376988207\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAAS1JREFUeJzt3NFpwzAUQNG6ZKQOkZ3y3Z0yRHZSFygXu%2BBYtc/5N%2Bjn8iQkvIwxxgfwq8%2BjFwAzux29AN7v6/Hc/M3r%2B77DSuZngkAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUDwmpdVrvoC2ASBIBAIAoEgEAgCgSAQCAKB4B6E3Zzh7sQEgSAQCAKBIBAIAoEgEAgCgeAe5AT%2Bct/AOiYIBIFAEAgEgUBwSJ%2BMA/dcTBAIAoEgEAjOIDtynvj/TBAIJsgGJsL1mCAQBALhslss2yXWMEEgTDdBzvAvJc5jGWOMoxcBs7LFgiAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgfADHNYbou59Zr4AAAAASUVORK5CYII%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-1244158626376988207,#minihistogram-1244158626376988207\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-1244158626376988207\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-1244158626376988207\"\n",
       "                                                  aria-controls=\"quantiles-1244158626376988207\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-1244158626376988207\" aria-controls=\"histogram-1244158626376988207\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-1244158626376988207\" aria-controls=\"common-1244158626376988207\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-1244158626376988207\" aria-controls=\"extreme-1244158626376988207\"\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-1244158626376988207\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>0.62125</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>1.0426</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>1.2539</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>1.4143</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>1.5215</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>1.6106</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>1.6106</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>0.37168</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>0.28726</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.24162</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>1.5352</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>1.1889</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.22265</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>-1.1811</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>184.28</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>0.08252</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>1.3 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-1244158626376988207\">\n",
       "            <img 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69NPP9WmTZvUqtUPL%2Bm84oorNHv2bA0ZMsTGZAAAAD9w1A6WZVmqrKyss15WVqbq6mobEgEAANTlqIJ14403aubMmdq1a5fKyspUWlqqbdu2adq0aYqPj7c7HgAAgCSHXSL8/e9/r5SUFCUlJbm9u3q/fv00Z84cG5MBAAD8wFEF6/LLL9frr7%2BuXbt26cCBAwoICNBPf/pTdevWze5oAAAAtRxVsM6IiorivakAAECT5aiClZeXp/nz52vPnj06efJkndt37txpQyoAAAB3jipYjz/%2BuIKCgvTwww8rKCjI7jgAAADn5KiC9dVXX%2BnDDz%2Bs86txAAAAmhJHvU1Dhw4d7I4AAABQL0cVrLS0ND355JMqKyuzOwoAAMB5OeoS4QsvvKBvv/1Wa9euVXh4uPz93fvhhx9%2BaFMyAACAHziqYCUkJNgdAQAAoF6OKlgPPfSQ3REAAADq5ajnYEnStm3bNHPmTN15552SpJqaGr3zzjs2pwIAAPiBowrW%2BvXrdeedd%2BrYsWPavn27JOnw4cOaM2eOsrOzbU4HAABwmqMK1rJly7R48WK9%2BOKLtb/suUOHDkpPT9ef//xnm9MBAACc5qiC9fXXXysxMVGSaguWJA0YMEDffvutXbEAAADcOOpJ7hERESoqKlLbtm3d1vfv36%2BWLVvalAoAgKZp%2BLNb7I7gsZyp19sdwShH7WANHDhQjz32mPbt2ydJKikp0YcffqipU6cqPj7e3nAAAAD/n6MK1syZM1VeXq6RI0eqoqJCcXFxuv/%2B%2B9WxY0c98sgjdscDAACQ5LBLhOHh4Xrttde0a9cuffnll2rZsqW6dOmiLl262B0NAACglqMK1hlRUVGKioqyOwYAAMA5OapgRUVFub168Gw7d%2B5sxDQAAADn5qiCNWfOHLeCVV1drf379%2BuDDz7QlClTbEwGAADwA0cVrAkTJpxz/eOPP1ZmZqbGjBnTyIkAAADqctSrCM%2Bnf//%2Bys3NtTsGAACAJB8pWBs3bpTL5ajNOAAA4MMc1UpuuOGGOmsVFRUqKys77%2BVDAACAxuaogpWcnFznVYSBgYHq2rWrEhISbEoFAADgzlEF6%2BGHH7Y7AgAAQL0cVbAyMjI8Os7Pz08pKSkNnAYAAODcHFWw3njjDR09elQVFRVq1aqVXC6Xjh8/rpYtW6p169Zux1KwAACAXRxVsKZNm6Z//OMfmjFjhtq3by9J%2Buabb7Ro0SINHz5cw4cPtzkhAACAwwrWc889p1WrViksLKx27Sc/%2BYnmzp2r5ORkChYAAGgSHPU%2BWN99950CAgLqrF922WU6evSoDYkAAADqclTB6t69u2bOnKn8/HyVlpaqrKxMu3bt0u9//3tdc801dscDAACQ5LBLhPPmzdO0adN0%2B%2B23174flmVZ6tChg55//nmb0wEAAJzmqIIVHR2tnJwc7dixQ999950sy1L79u3Vq1cv%2Bfs7ajMOAAD4MEcVrDPCwsJ0/PhxxcXF2R0FAACgDkdt%2BxQVFWnixIn65S9/qUmTJkmSCgsLdcstt%2Bjw4cM2pwMAADjNUQXrqaeeUk1NjbKysmovCYaEhCg6OlpPPfWUzekAAABOc9Qlwg8%2B%2BEBvvvmm2rVrV/sk95YtW%2BrRRx/VqFGjbE4HAABwmqN2sE6dOqXIyMg66y1btlRZWZkNiQAAAOpyVMHq2rWr3n333TrrmZmZ6tKliw2JAAAA6nLUJcL77rtPM2bMUE5OjqqrqzVv3jzl5%2Bfrs88%2B07PPPmt3PAAAAEkO28EaNmyYli1bpqqqKl111VX69NNP1bFjR73%2B%2ButKTEy0Ox4AAIAkh%2B1g5eXlKS4ujve/AgAATZqjdrDuuusuVVdX2x0DAADgghxVsEaOHKmVK1fKsiy7owAAAJyXoy4RHj16VBs3btRLL72kDh06qEWLFm63v/766zYlAwAA%2BIGjClZERIQGDx5sdwwAAIALckTBSk1NVXp6uhYuXFi7lp6ertTU1Is%2B58GDB/Xkk09q69at8vPz00033aRZs2YpNDRU%2Bfn5WrhwoXbu3KnLL79c48aN0/33329iFAAA0Aw44jlYubm5ddZeeeWVSzrngw8%2BqNDQUG3cuFFvv/22vvzySz399NM6efKkHnjgAQ0cOFCbN2/Ws88%2Bq5dfflkbNmy4pK8HAACaD0cUrHO5lCe6l5aWKjo6WtOmTVNwcLDatm2rpKQkbd26VZs2bVJVVZWmTJmioKAgRUdH61e/%2BpWysrIMpgcAAL7MEZcIz%2BXML3u%2BGKGhoW6XGyXp0KFDioyMVH5%2Bvq655hoFBATU3tajRw%2BtWrXK4/MXFBSosLDQbc3lCjrn71G8FAEB/m4ffQVzOYuvziX57my%2BOheczeXyre9HxxYsk/Ly8vTXv/5VL7zwgnJychQaGup2e3h4uEpKSlRTUyN///q/ATIzM5WRkeG2lpKScknPGbuQ0NBWDXJeuzGXs/jqXJLvzuarc8GZIiKC7Y5gVLMvWJ988ommTJmiadOmadCgQcrJyalzjGVZXu2YJScnKyEhwW3N5QpScfGJS877YwEB/goNbaXS0nJVV9cYPbedmMtZfHUuyXdn89W54Gymf0aeYVdxc0TBOnXqlKZNm1bv2pIlS7w67z//%2BU9Nnz5djz/%2BuJKSkiRJbdq00VdffeV23LFjxxQeHu7R7pUkRUZG1rkcWFh4XFVVDfNAVl1d02DnthNzOYuvziX57my%2BOhecyde%2BFx1RsPr27auCgoJ617yxbds2/e53v9Nzzz2nG264oXa9V69e%2Bvvf/66qqiq5XKf/evLy8hQbG3vRXwsAADQvjihYr732mtHzVVVVadasWZo%2BfbpbuZKkwYMHq3Xr1nrhhRd0//33a8%2BePcrOztaiRYuMZgAAAL7Lt56y76Ht27dr3759mj9/vq699lq3P4WFhXrxxRf18ccf64YbbtDMmTOVlpam%2BPh4u2MDAACHcMQOlmn9%2BvXT7t27L3iM6V0zAADQfDTLHSwAAICGRMECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwLBm%2BcueAcCXDX92i90RgGaPHSwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMJfdAQCgqfvl4s12RwDgMOxgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIY124K1efNmDRo0SGlpaXVuW7dunUaNGqXevXvrtttu0wcffGBDQgAA4FTN8o1GX3rpJWVnZ6tz5851bvv888/16KOPKiMjQwMHDtR7772nhx9%2BWBs2bNCVV15pQ1oAAOA0zXIHKzAw8LwFKzs7W4MHD9bgwYMVGBioW265RVFRUXr77bdtSAoAAJyoWRasu%2B66SyEhIee8LT8/X9HR0W5rPXr0UF5eXmNEAwAAPqBZXiK8kJKSEoWFhbmthYWFae/evR6fo6CgQIWFhW5rLleQIiMjjWQ8IyDA3%2B2jr2AuZ/HVuSTfnAloqlwu3/r/jYLlIT8/P4%2BPzczMVEZGhttaSkqKUlNTTceSJIWGtmqQ89qNuZzFV%2BcC0DgiIoLtjmAUBessERERKi4udlsrKSlRRESEx%2BdITk5WQkKC25rLFaTi4hNGMp4REOCv0NBWKi0tV3V1jdFz24m5nMVX55J%2BmA1AwzP9M/IMu4obBessvXr10o4dO9zW8vLyNHLkSI/PERkZWedyYGHhcVVVNcwPn%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%2BWtXV1XbHAgAADkHBOofU1FS1b99e77//vlauXKmNGzdq5cqVdscCAAAOQcE6S15ennbv3q3p06crJCREnTt31r333qusrCy7owEAAIfgSe5nyc/PV8eOHRUWFla7Fh0drf3796usrEytW7eu9xwFBQUqLCx0W3O5ghQZGWk0a0CAs/qxy%2BVZ3jNzOW0%2BAMDF8/RnhFNQsM5SUlKi0NBQt7UzZau4uNijgpWZmamMjAy3tYceekgPP/ywuaA6XeTubv%2BFkpOTjZc3OxUUFOjPf37Z9rm2Lhhm9HwFBQXKzMy0fS7TfHUuyXdnYy5nYS5n8q262EAsy5Ik%2Bfn5eXR8cnKy1qxZ4/YnOTnZeK7CwkJlZGTU2S1zOuZyFl%2BdS/Ld2ZjLWZjLmdjBOkubNm1UXFzstnbs2DH5%2BfkpIiLCo3NERkb6ZBsHAACeYQfrLL169dKhQ4dUVFRUu5aXl6du3bopODjYxmQAAMApKFhniY6OVkxMjJYsWaKysjLt27dPK1as0IQJE%2ByOBgAAHCJg7ty5c%2B0O0dTceOONysnJ0VNPPaV3331XSUlJmjhxosfPwWpMwcHBuu6663xud425nMVX55J8dzbmchbmch4/68wzuAEAAGAElwgBAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgNXHffPONJk2apAEDBmjIkCF6%2BumnVV1dfc5jV65cqZtvvll9%2B/bVhAkT9NlnnzVyWs95M9ff//533Xzzzerdu7dGjRql999/v5HTes6buc44cuSIevfuraVLlzZSSu95M9e%2Bfft05513KjY2VoMHD9aKFSsaOa3nPJ2rpqZG6enpSkhIqP0%2BfOedd2xI7LnNmzdr0KBBSktLu%2BBxNTU1WrJkiYYOHar%2B/ftr4sSJOnDgQCOl9J43c2VkZNTeZ2PHjtXWrVsbKeXF8XS2H8vPz1d0dLTWrFnTgMkujTdzbdu2TbfddptiYmKUmJiot956qxESNhALTVpSUpI1a9Ysq7S01Prqq6%2BsxMRE6%2BWXX65z3HvvvWf169fP2r59u1VeXm699NJL1qBBg6yysjIbUtfPm7n69u1rbd261Tp16pS1Zs0aq2fPntbXX39tQ%2Br6eTrXjz300ENWnz59rPT09EZK6T1P5yovL7fi4%2BOtF1980fr%2B%2B%2B%2Bt7du3WyNGjLD27t1rQ%2Br6eTrXX/7yF%2Bv666%2B39uzZY506dcp67733rOjoaGvnzp02pK7f8uXLrcTERGv8%2BPHW1KlTL3jsypUrrSFDhlh79%2B61ysrKrPnz51u33HKLVVNT00hpPefNXCtWrLDi4%2BOtPXv2WJWVlVZGRoZ13XXXWcePH2%2BktN7xZrYzqqurrdtvv93q06ePtXr16gZOeHG8mevIkSNW//79rTVr1lgnT560/vnPf1ojRoywiouLGymtWexgNWF5eXnavXu3pk%2BfrpCQEHXu3Fn33nuvsrKy6hyblZWl2267TbGxsWrZsqUmTpwof39/bdq0qfGD18Obub7//nv99re/Vd%2B%2BfeVyuTRmzBgFBwdr%2B/btNiQtnX%2BGAAAHs0lEQVS/MG/mOiM3N1dffPGF4uPjGy%2Bol7yZKycnR61bt9bkyZPVqlUrxcbGav369eratasNyS/Mm7ny8/PVr18/de/eXS6XS7/4xS8UHh6u3bt325C8foGBgcrOzlbnzp3rPTYrK0v33HOPunbtquDgYE2dOlX79%2B/Xv//970ZI6h1v5pKk3/3ud%2Brevbsuu%2Bwy3XPPPSopKdGePXsaOOXF8XY26fTufnBwsKKjoxsw2aXxZq5Vq1apd%2B/eGjNmjAIDAxUfH6/169crPDy8EZKaR8FqwvLz89WxY0eFhYXVrkVHR2v//v0qKyurc%2ByP/yfz8/NTVFSU8vLyGi2vp7yZa/To0fqv//qv2s9LS0t14sQJtWvXrtHyesqbuSTp5MmT%2BsMf/qA5c%2Bbosssua8yoXvFmrk8%2B%2BUQ/%2B9nP9Oijj6pfv34aNmyY1q1b19iRPeLNXPHx8fr444/1%2Beefq7KyUu%2B//77Ky8t13XXXNXZsj9x1110KCQmp97iTJ09q7969bo8dwcHBuuqqq5rkY4enc0nSPffco%2BHDh9d%2B/t1330mSIiMjGyTbpfJmNkkqLCxURkaGZs%2Be3YCpLp03c33yySfq3LmzHnzwQfXt21e33nqrPvroowZO2HAoWE1YSUmJQkND3dbO/DAoLi6uc%2ByPf1CcOfbs45oCb%2Bb6McuyNGvWLMXGxjbJH2zezvU///M/%2BvnPf664uLhGyXexvJnr8OHD%2Bsc//qFBgwbpww8/1AMPPKAZM2Zo586djZbXU97MlZiYqOTkZI0ZM0bXXnutpk2bpieffFJXXnllo%2BVtCMeOHZNlWY557LhYlZWVmjVrlkaPHq1OnTrZHceIhQsXaty4cU1yd/hiHT58WG%2B%2B%2BabuuOMObd68WSNGjNCDDz6ogoICu6NdFAqWw1iWJen0DpUnx3pyXFNQ31ynTp3S9OnTtXfvXj333HONGe2SnG%2BuvXv3Kjs7W4888ogdsS7Z%2BeayLEs9e/bUqFGj1LJlSyUlJSk2NlYbNmywI6bXzjfX2rVrtXbtWmVlZemzzz7Tc889p8cee6xJv5DkUjjpsaM%2BZWVlmjRpkgICAvTEE0/YHceIf/3rX/r3v/%2BtKVOm2B3FKMuyNHjwYA0aNEhBQUH69a9/rZCQkCb5VBdPULCasDZt2tT5V%2BSxY8fk5%2BeniIgIt/WIiIhzHnv2cU2BN3NJpy9jTJ48WYcOHdJf//pXXXHFFY0V1SvezDV37lw99NBDatu2bWNGvCjezNW2bds6lwM6dOjQJP8F6s1cf/nLX5ScnKyYmJja54YMHDjQ2a9wkhQeHi5/f/9z/j20adPGplTmFBUV6Y477lBISIheeeUVBQUF2R3pklVWVuqJJ57Q448/rpYtW9odx6i2bdu67Sr7%2BfnpyiuvbJKPH56gYDVhvXr10qFDh1RUVFS7lpeXp27duik4OLjOsfn5%2BbWfV1dX6/PPP1dsbGyj5fWUN3NZlqW0tDS5XC6tXLmySRbGMzyd6%2BDBg/q///s/paena8CAARowYIDWr1%2Bvl19%2BWWPGjLEj%2BgV5c3/16NFDe/bsqd0Jkk7P27Fjx0bL6ylv5qqpqanz9g31vf2GEwQGBqp79%2B5ujx2lpaX6%2BuuvFRMTY2OyS1dRUaHJkyerZ8%2BeSk9P95kysn37dh04cEAzZ86sffzYtm2b5s2b5/gdrR49erg9ncCyLB06dKhJPn54goLVhEVHRysmJkZLlixRWVmZ9u3bpxUrVmjChAmSpGHDhtW%2Br8uECRO0du1abd%2B%2BXeXl5XrhhRfUokWLJvnqNG/mevvtt2svCwYGBtoZu16eztW%2BfXvl5ubqzTffrP2TkJCg8ePHa/ny5TZPUZc391dSUpJKSkr04osv6uTJk1q3bp3y8/M1evRoO0c4J2/mSkhIUHZ2tnbt2qWqqipt2bJFW7Zs0dChQ%2B0c4aIcOXJEw4YN0zfffCPp9GPHq6%2B%2Bqn379qmsrEyLFy9Wjx49dO2119qc1Dtnz/WnP/1JLpdL8%2BbNk7%2B/s3/U/Xi2n//859q0aZPb40evXr30m9/8RgsWLLA7qlfOvs/Gjx%2Bv7du364033lBFRYVeeeUVVVRU6Be/%2BIXNSS%2BOy%2B4AuLD09HTNnTtXCQkJCgkJUVJSUu2r6vbv36/vv/9eknTTTTfpt7/9rR555BEVFhaqZ8%2BeWr58eZP9V5unc61evVoHDx6s86T2W2%2B9VfPnz2/03PXxZK6AgAC1b9/e7b9r1aqVWrdu3WQvGXp6f4WFhWn58uWaN2%2Benn/%2BeXXo0EHPP/%2B8rrrqKjvjn5enc02ePFlVVVVKSUlRUVGROnbsqHnz5jXZFyicKUdVVVWSVPvmvHl5eTp16pT279%2BvyspKSad/qB09elSTJk3SiRMn1Lt3b2VkZNgTvB7ezLV69Wp99913dXbxp0yZogcffLARU3vG09latGhR5/GjRYsWCg0NbZKXdb25z66%2B%2Bmo988wzWrJkiWbPnq2uXbvqlVde8erVlU2Jn/XjvXwAAABcMmfvmwIAADRBFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGPb/AJ0LineZRlLxAAAAAElFTkSuQmCC\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-1244158626376988207\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.2861688137054401</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.23941457271576</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.17969191074371</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.51691174507141</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.3802285194397</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.34313309192657</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.8646692037582401</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.997471392154694</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.53352355957031</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.39423859119415</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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 (145)</td>\n",
       "        <td class=\"number\">145</td>\n",
       "        <td class=\"number\">93.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-1244158626376988207\">\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\">0.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.396102607250214</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.4318825304508211</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.43529984354972795</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.5125688314437871</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.54819512367249</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.5489691495895401</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.55112159252167</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.5582311153411899</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1.6105740070343</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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_Freedom\">Freedom<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>155</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>0.40879</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>0.65825</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.6%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-6264594471923991863\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAASRJREFUeJzt3MEJwkAARUEjlmQR9uTZnizCnmID8ohCzJLM3AO5PH4gy07zPM8n4KPz1i8AI7ts/QL83/X%2B/PqZ1%2BO2wpuMz4JAEAgEn1g78MsnE8tYEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKB4KgJixz1BLAFgSAQCAKBIBAIAoEgEAgCgeA/yIqO%2Bu9gTywIhMnNisu5HGF9oy2oBYEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIhz3u7uAhS1gQCLtYEGvAWiwIhOEWxBowEgsCQSAQBAJBIBAEAsG1PxAsCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCIQ35J4eMnqhC1sAAAAASUVORK5CYII%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-6264594471923991863,#minihistogram-6264594471923991863\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-6264594471923991863\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-6264594471923991863\"\n",
       "                                                  aria-controls=\"quantiles-6264594471923991863\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-6264594471923991863\" aria-controls=\"histogram-6264594471923991863\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-6264594471923991863\" aria-controls=\"common-6264594471923991863\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-6264594471923991863\" aria-controls=\"extreme-6264594471923991863\"\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-6264594471923991863\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>0.11794</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>0.30368</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>0.43745</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>0.51656</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>0.61327</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>0.65825</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>0.65825</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>0.21288</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>0.15</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.36693</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-0.20841</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>0.40879</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.12166</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>-0.61577</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>63.362</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>0.022499</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>1.3 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-6264594471923991863\">\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzt3XtwVPX9//HXJiuXAAlBWSjRLzJSCCGAcpGLWC5WIiBMvAas0KpFxUBKyk0rClYUHVG5REGkQutQDUSKgkIRUW7FKmJKiKA1oiJos5SEEBqQbM7vj/2RdEkoG/3snpzs8zGTyfDZwyevvOckeXHOZnFZlmUJAAAAxkTZHQAAAKC%2BoWABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMPcdgeIFF7vceN7RkW51KJFEx09ekIVFZbx/Z2COfgxhyrMwo85%2BDGHKpE4i5Ytm9nycbmC5WBRUS65XC5FRbnsjmIr5uDHHKowCz/m4MccqjCL8KFgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABgWkQVr//79%2BuUvf6kePXqoX79%2BmjRpkrxeryRpx44duvnmm9W9e3cNHz5ca9assTktAABwmogrWN9//73uvPNOXXnlldq5c6feeOMNeb1ezZo1S//617%2BUnp6uUaNGaefOnZoxY4ZmzpypPXv22B0bAAA4SMQVrLKyMmVmZuqee%2B5RgwYNdNFFFyklJUX//Oc/tW7dOrVr104333yzGjZsqL59%2B%2Bqaa65RTk6O3bEBAICDuO0OEG5xcXG65ZZbKv/81Vdfac2aNRo2bJjy8/OVlJQUcHynTp20fv36Wn2MwsLCyluOZ7jdMfJ4PD88eA2io6MC3kcq5uDHHKowCz/m4MccqjCL8Im4gnXGoUOHlJKSovLyco0aNUoZGRn69a9/rVatWgUc17x5cxUVFdVq7%2BzsbGVlZQWspaenKyMj40fnrklsbOOQ7Os0zMGPOVRhFn51eQ49H9xgd4Ra2fXYdXZHMKIunxP1RcQWrISEBOXl5emrr77Sww8/rKlTp9Z4nGVZcrlctdo7LS1NgwcPDlhzu2NUVHTiB%2BetSXR0lGJjG6ukpEw%2BX4XRvZ2EOfgxhyrMwo85mGf6%2B3i4ReI5ER/fxJaPG7EFS5JcLpcuvfRSZWZmatSoURowYICKi4sDjikuLlZ8fHyt9vV4PNVuB3q9x1VeHpqT2eerCNneTsIc/JhDFWbhxxzMqS9z5JwIvYi7Cbtjxw6lpKSooqLqxIqK8o%2BhX79%2B2rt3b8Dxe/fuVbdu3cKaEQAAOFvEFazk5GSVlJRo7ty5Kisr09GjR7Vw4UL17NlTI0aM0KFDh7Rq1SqdOnVKW7Zs0ZYtW3TrrbfaHRsAADhIxBWsuLg4LVu2THl5eerTp4%2BGDx%2BuZs2a6ZlnntGFF16oF154QStXrlTfvn319NNP66mnnlJiYqLdsQEAgINE5HOwEhMT9fLLL9f4WK9evbRq1aowJwIAAPVJxF3BAgAACDUKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAY5rY7AADArKHzdtgdAYh4XMECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwzG13ALscOnRIjz/%2BuHbt2iWXy6Wf/exnmjFjhpo2baqkpCS53W65XK7K4ydNmqS77rrLxsQAAMApIrZg3XfffUpKStLmzZv1n//8R%2BPHj9eTTz6padOmybIsvfPOO2rVqpXdMQEAgANF5C3CkpISJSUlafLkyWrSpIlatmyp1NRU7dq1SyUlJZKk5s2b25wSAAA4VURewYqNjdWcOXMC1g4fPiyPx6Njx44pOjpaDzzwgN5//301atRII0aM0IQJE3TBBRcEtX9hYaG8Xm/AmtsdI4/HY%2BxzkKTo6KiA95GKOfgxhyrMAqHidjv7nOJrI3wismCdLS8vTytWrNCiRYtkWZY6deqkQYMG6YknntC%2BffuUkZEhl8ulSZMmBbVfdna2srKyAtbS09OVkZERiviKjW0ckn2dhjn4MYcqzAKmxcc3sTuCEXxthJ7LsizL7hB2%2BuijjzR%2B/HhNmDBBY8eOrfGYFStWaMmSJdqyZUtQe4bzClZsbGOVlJTJ56swureTMAc/5lAl0mdx7dxtdkeot96ecrXdEX6USPzasKsUR/QVrHfffVdTpkzRQw89pNTU1HMed/HFF%2BvIkSOyLCvgNwvPxePxVCtTXu9xlZeH5mT2%2BSpCtreTMAc/5lCFWcC0%2BnI%2B8bURehF7E3b37t2aNm2a5s%2BfH1Cu3n//fS1ZsiTg2C%2B%2B%2BEIJCQlBlSsAAICILFjl5eWaMWOGpkyZov79%2Bwc81rRpUy1YsEBr167V6dOntXfvXr300ku67bbbbEoLAACcJiJvEebm5qqgoECzZ8/W7NmzAx7bsGGDnn32WS1cuFAPP/ywWrZsqbFjx57z%2BVkAAABni8iC1bNnT3366afnfDwhIUHXXnttGBMBAID6JCJvEQIAAIQSBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMLfdAQAAcIqh83bYHaFW1k%2B6yu4IEYsrWAAAAIZRsAAAAAyjYAEAABhGwQIAADAsYgvWoUOHlJ6ert69e6tPnz6aNm2aSkpKJEn5%2Bfm6/fbb1aNHDw0ZMkRLly61OS0AAHCSiC1Y9913n2JjY7V582atXbtWX3zxhZ588kmdPHlS9957r/r06aNt27Zp3rx5Wrp0qTZs2GB3ZAAA4BARWbBKSkqUlJSkyZMnq0mTJmrZsqVSU1O1a9cuvffeeyovL9f48eMVExOjpKQk3XLLLVq1apXdsQEAgENEZMGKjY3VnDlzdNFFF1WuHT58WB6PR/n5%2BerYsaOio6MrH%2BvUqZP27t1rR1QAAOBAvNCopLy8PK1YsUKLFi3S%2BvXrFRsbG/B48%2BbNVVxcrIqKCkVFnb%2BTFhYWyuv1Bqy53THyeDxGc0dHRwW8j1TMwY85VGEWgJ/bHfg1wNdG%2BER8wfroo480fvx4TZ48Wf369dP69eurHWNZllwuV9B7ZmdnKysrK2AtPT1dGRkZPzpvTWJjG4dkX6dhDn7MoQqzQKSLj29S4zpfG6EX0QXr3Xff1ZQpU/TQQw8pNTVVktSiRQt9%2BeWXAccdO3ZMzZs3D%2BrqlSSlpaVp8ODBAWtud4yKik4YyX1GdHSUYmMbq6SkTD5fhdG9nYQ5%2BDGHKswC8Dv7504kfm2cq2SGWsQWrN27d2vatGmaP3%2B%2B%2BvfvX7menJysV155ReXl5XK7/ePJy8tTt27dgt7b4/FUux3o9R5XeXloTmafryJkezsJc/BjDlWYBSLduc5/vjZCLyJvwpaXl2vGjBmaMmVKQLmSpAEDBqhp06ZatGiRysrK9I9//EM5OTkaPXq0TWkBAIDTRGTBys3NVUFBgWbPnq0uXboEvHm9Xi1evFgffPCB%2Bvfvr%2BnTpyszM1MDBw60OzYAAHCIiLxF2LNnT3366af/85iXX345TGkAAEB9E5FXsAAAAEKJggUAAGAYBQsAAMAwRxWs48eP2x0BAADgvBxVsM78Vt%2BuXbvsjgIAAHBOjipYjzzyiP7973/rV7/6lYYOHaply5bp6NGjdscCAAAI4KiClZqaqqVLl2rr1q36xS9%2BoY0bN2rgwIHKzMzUzp077Y4HAAAgyWEF64wWLVro9ttv1yuvvKI5c%2BZo%2B/btuvPOOzVs2DBt3LjR7ngAACDCOfKFRo8eParVq1frtdde09dff62rrrpKaWlpKiws1MMPP6xDhw7pjjvusDsmAACIUI4qWNu2bdOqVau0efNmNW/eXDfddJNuvfVWJSQkVB7TuXNnpaenU7AAAIBtHFWw7r77bvXu3Vtz587Vz3/%2Bc7nd1eN37dpVzZo1syEdAACAn6MK1oYNG9S2bVt9//33leWqtLRUTZs2DTjurbfesiMeAACAJIc9yT0qKkrDhg3T5s2bK9dWrlypYcOG6eDBgzYmAwAAqOKogvXYY4%2BpY8eO6tGjR%2BXayJEj1bVrV82ZM8fGZAAAAFUcdYvw448/1nvvvafGjRtXrl100UV6%2BOGHNWjQIBuTAQAAVHHUFSzLsvT9999XWy8tLZXP57MhEQAAQHWOKlhXX321pk%2Bfrv3796u0tFQlJSXavXu3Jk%2BerIEDB9odDwAAQJLDbhH%2B7ne/U3p6ulJTU%2BVyuSrXe/bsqZkzZ9qYDAAAoIqjCtaFF16oV199Vfv379dXX32l6OhoXXrppWrfvr3d0QAAACo5qmCdkZiYqMTERLtjAAAA1MhRBSsvL0%2BzZ8/WZ599ppMnT1Z7fN%2B%2BfTakAgAACOSogvXQQw8pJiZGEydOVExMjN1xAAAAauSogvXll19q%2B/bt1f5rHAAAgLrEUS/T0KZNG7sjAAAAnJejClZmZqYef/xxlZaW2h0FAADgnBx1i3DRokX65ptvtGbNGjVv3lxRUYH9cPv27TYlAwAAqOKogjV48GC7IwAAAJyXowrWhAkT7I4AAABwXo56DpYk7d69W9OnT9eYMWMkSRUVFXrrrbdsTgUAAFDFUQXrzTff1JgxY3Ts2DHl5uZKkr777jvNnDlTOTk5NqcDAADwc1TBeuGFFzR37lwtXry48j97btOmjRYsWKA//vGPNqcDAADwc1TB%2BvrrrzVkyBBJqixYktS7d2998803dsUCAAAI4KiCFR8fr6NHj1ZbP3DggBo1amRDIgAAgOocVbD69OmjBx98UAUFBZKk4uJibd%2B%2BXZMmTdLAgQPtDQcAAPD/OeplGqZPn66JEydq%2BPDhkqS%2BffvKsiwNHDhQ999/v83pAARr6LwddkeolfWTrrI7AgCHcVTBat68uV5%2B%2BWXt379fX3zxhRo1aqR27dqpXbt2dkcDAACo5KiCdUZiYqISExPtjgEAAFAjRxWsxMTEgN8ePNu%2BffvCmAYAAKBmjipYM2fODChYPp9PBw4c0NatWzV%2B/HgbkwEAAFRxVMEaPXp0jesffPCBsrOzdcMNN4Q5EQAAQHWOepmGc%2BnVq5e2bNlSq7%2Bzbds29evXT5mZmQHr77//vjp27KguXboEvO3Zs8dkZAAAUI856grWuWzevFlud/CfyosvvqicnBy1bdu22mPHjx/XpZdeqr/%2B9a8mIwIAgAjiqILVv3//amunTp1SaWnpOW8f1qRhw4bKycnRY489plOnTgU8duzYMcXFxf3orAAAIHI5qmClpaVV%2By3Chg0b6rLLLtPgwYOD3mfs2LHnfKykpETHjh3TmDFjtH//frVu3Vrjxo3TyJEjf3BuAAAQWRxVsCZOnBjyjxETE6NWrVrpt7/9rTp16qSNGzfq/vvvV8uWLdW3b9%2Bg9igsLJTX6w1Yc7tj5PF4jGaNjo4KeB%2BpmIMfcwgdt5uZwpnOPnf5PhE%2BLsuyLLtDBCsrKyuo41wul9LT08973P33369Tp07p2Wef/Z/H/eY3v1GDBg301FNPBfXxFy5cWC1renq6MjIygvr7wA/R88ENdkcAgB9s12PX2R3BKEddwfrLX/6iI0eO6NSpU2rcuLHcbreOHz%2BuRo0aqWnTpgHHBlOwgnXxxRdr7969QR%2BflpZW7Zal2x2joqITxjJJ/n%2BBxMY2VklJmXy%2BCqN7OwlzAADnM/0z8oz4%2BCYh2fd8HFWwJk%2BerHfeeUdTp05V69atJUkHDx7UU089paFDh2ro0KE/%2BmOsXLlScXFxSklJqVwrKCjQJZdcEvQeHo%2Bn2u1Ar/e4ystD88Pf56sI2d5OwhwAwLnq2/dvRxWs%2BfPnVxagMy655BLNmjVLaWlpRgpWWVmZ5s%2Bfr4SEBHXs2FFvv/22tm3bppUrV/7ovQEAQGRwVMH69ttvFR0dXW39ggsu0JEjR4Lep0uXLpKk8vJySdKmTZskSXl5eRo7dqxKS0uVkZGhoqIitWvXTs8//7w6d%2B5s4DMAAACRwFEF66c//ammT5%2Bu%2B%2B67T5dccomioqL0zTff6LnnnlPHjh2D3icvL%2B%2Bcj515grzJ53ABAIDI4qiC9eijj2ry5Mm66aabKl8Py7IstWnTRs8//7zN6QAAAPwcVbCSkpK0fv167d27V99%2B%2B60sy1Lr1q2VnJysqChe0wMAANQNjipYZ8TFxen48eNBv/AnAABAODnqss/Ro0d111136dprr9W4ceMkSV6vV9dff72%2B%2B%2B47m9MBAAD4OapgPfHEE6qoqNCqVasqbwk2a9ZMSUlJeuKJJ2xOBwAA4OeoW4Rbt27V66%2B/rlatWlU%2Byb1Ro0Z64IEHNGLECJvTAQAA%2BDnqCtbp06dr/A%2BTGzVqpNLSUhsSAQAAVOeognXZZZdp48aN1dazs7PVrl07GxIBAABU56hbhHfeeaemTp2q9evXy%2Bfz6dFHH1V%2Bfr727NmjefPm2R0PAABAksOuYF133XV64YUXVF5erv/7v//Txx9/rISEBL366qsaMmSI3fEAAAAkOewKVl5envr27cvrXwEAgDrNUVewxo4dK5/PZ3cMAACA/8lRBWv48OFavny5LMuyOwoAAMA5OeoW4ZEjR7R582a9%2BOKLatOmjRo0aBDw%2BKuvvmpTMgAAgCqOKljx8fEaMGCA3TEAAAD%2BJ0cUrIyMDC1YsEBz5sypXFuwYIEyMjJsTAUAAFAzRzwHa8uWLdXW/vCHP9iQBAAA4PwcUbBqwhPdAQBAXeXYgnXmP3sGAACoaxxbsAAAAOoqChYAAIBhjvgtwtOnT2vy5MnnXXv66afDGQsAAKBGjihYPXr0UGFh4XnXAAAA6gJHFKyXX37Z7ggAAABB4zlYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDIrZgbdu2Tf369VNmZma1x9atW6cRI0boiiuu0I033qitW7fakBAAADiV2%2B4AdnjxxReVk5Ojtm3bVnvsk08%2B0QMPPKCsrCz16dNHb7/9tiZOnKgNGzboJz/5iQ1pAQCA00TkFayGDRues2Dl5ORowIABGjBggBo2bKjrr79eiYmJWrt2rQ1JAQCAE0XkFayxY8ee87H8/HwNGDAgYK1Tp07Ky8sLev/CwkJ5vd6ANbc7Rh6Pp3ZBzyM6OirgfaRiDgDgfG53/foeHpEF638pLi5WXFxcwFpcXJw%2B//zzoPfIzs5WVlZWwFp6eroyMjKMZDxbbGzjkOzrNMwBAJwrPr6J3RGMomAFyeVyBX1sWlqaBg8eHLDmdseoqOiE0UzR0VGKjW2skpIy%2BXwVRvd2EuYAAM5n%2BmfkGXYVNwrWWeLj41VUVBSwVlxcrPj4%2BKD38Hg81W4Her3HVV4emh/%2BPl9FyPZ2EuYAAM5V375/168bngYkJydr7969AWt5eXnq1q2bTYkAAIDTULDOcuutt%2Bpvf/ub3nvvPZ06dUo5OTn68ssvNXLkSLujAQAAh4jIW4RdunSRJJWXl0uSNm3aJMl/papDhw6aO3eunnnmGX3zzTdq3769XnjhBbVs2dK2vAAAwFkismCd7yUXhgwZoiFDhoQpDQAAqG%2B4RQgAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMLfdAYC6aui8HXZHAAA4FFewAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDB%2Bi7AGgwYNktfrlcvlqly79dZb9dBDD9mYCgAAOAUFqwYlJSX605/%2BpO7du9sdBQAAOBC3CM/i8/l04sQJxcXF2R0FAAA4FFewzlJSUiLLsrRw4ULt3r1blmVp8ODBmjZtmpo0aRLUHoWFhfJ6vQFrbneMPB6P0azR0VEB7yMVcwAA53O769f3cArWWb7//nt17txZ3bt315w5c3To0CFlZmZq1qxZeuqpp4LaIzs7W1lZWQFr6enpysjICEVkxcY2Dsm%2BpvV8cIPdEQAAdVR8fHAXMZzCZVmWZXeIum7Lli0aP368cnNz1aBBg/MeH84rWLGxjVVSUiafr8Lo3qFw7dxtdkcAANRRb0%2B5OiT72lXcuIIVhIsvvlg%2Bn0///ve/9ZOf/OS8x3s8nmplyus9rvLy0JQgn68iZHsDABAO9e3nWP264WnA/v37q90KLCgoUIMGDYxfgQIAAPUTV7DOEh8frz//%2Bc%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%2BfLndsQAAgENQsM6Sl5enTz/9VFOmTFGzZs3Utm1b3XHHHVq1apXd0QAAgEO47Q5Q1%2BTn5yshIUFxcXGVa0lJSTpw4IBKS0vVtGnT8%2B5RWFgor9cbsOZ2x8jj8RjNGh1NPwYA1A9ud/36mUbBOktxcbFiY2MD1s6UraKioqAKVnZ2trKysgLWJkyYoIkTJ5oLKn%2BR%2B2XrfyotLc14eXOSwsJCZWdnMwfmUIlZ%2BDEHP%2BZQhVmET/2qiyFiWZYkyeVyBXV8WlqaVq9eHfCWlpZmPJfX61VWVla1q2WRhjn4MYcqzMKPOfgxhyrMIny4gnWWFi1aqKioKGDt2LFjcrlcio%2BPD2oPj8fDvwwAAIhgXME6S3Jysg4fPqyjR49WruXl5al9%2B/Zq0qSJjckAAIBTULDOkpSUpK5du%2Brpp59WaWmpCgoKtGzZMo0ePdruaAAAwCGiZ82aNcvuEHXN1VdfrfXr1%2BuJJ57Qxo0blZqaqrvuuivo52CFU5MmTXTllVdG/NU15uDHHKowCz/m4MccqjCL8HBZZ57BDQAAACO4RQgAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAWrjjt48KDGjRun3r17a9CgQXryySfl8/lqPHb58uVKSUlRjx49NHr0aO3ZsyfMaUOnNnM4ceKEpkyZoo4dO6qgoCDMSUOrNnN45ZVXlJKSoiuuuEIjRozQpk2bwpw2tIKdhWVZysrK0qBBg3T55Zdr%2BPDhWrNmjQ2JQ6M258QZ//rXv3TFFVdo4cKFYUoZesHO4bXXXlNiYqK6dOkS8HbkyBEbUptXm/OhoKBAY8aMUbdu3TRgwAAtW7YszGnrOQt1WmpqqjVjxgyrpKTE%2BvLLL60hQ4ZYS5curXbc22%2B/bfXs2dPKzc21ysrKrBdffNHq16%2BfVVpaakNq84Kdw3fffWcNGTLEmjZtmtWhQwfr888/tyFt6NTmfOjRo4e1a9cu6/Tp09bq1autzp07W19//bUNqUMj2FksW7bMuuaaa6yCggKrvLzcevPNN63ExEQrPz/fhtTmBTuH/zZhwgSre/fu1oIFC8KUMvRqcz7ccccdNiQMj2DnUFZWZg0cONBavHix9Z///MfKzc21hg0bVu%2B%2BZ9qJglWH7dmzx%2BrUqZNVXFxcufbKK69YKSkp1Y69%2B%2B67rccff7zyzxUVFVb//v2tdevWhSVrKNVmDvv27bM2bdpkHTx4sN4VrNrM4fXXX7dWrFgRsHbllVdab7zxRshzhkNtZrFz504rNzc3YK1Xr17W66%2B/HvKcoVabOZzx3nvvWSkpKdZvf/vbelOwajOHefPmWZMmTQpnvLCpzRxWr15tXX/99eGMF3G4RViH5efnKyFvhBSkAAAFRklEQVQhQXFxcZVrSUlJOnDggEpLS6sdm5SUVPlnl8ulxMRE5eXlhS1vqNRmDomJibrmmmvCHTEsajOHkSNH6rbbbqv8c0lJiU6cOKFWrVqFLW8o1WYWffr0Ubdu3SRJJ0%2Be1IoVKxQdHa2%2BffuGNXMo1GYOkv/z//3vf6%2BZM2fqggsuCGfUkKrNHEpKSvTVV1/plltuUc%2BePXXTTTdpx44d4Y4cErWZw0cffaQOHTrogQceUM%2BePXXddddp3bp14Y5cr1Gw6rDi4mLFxsYGrJ35wikqKqp27H9/UZ059uzjnKg2c6jPfugcLMvSjBkz1K1bN1155ZUhzRguP2QWM2bM0OWXX66XXnpJzz//vFq2bBnynKFW2zk899xzuvzyy%2BtFufxvtZlD8%2BbN5fF4NGfOHG3dulXXX3%2B97rnnnnrxfM3azOG7777TO%2B%2B8o379%2Bmn79u269957NXXqVO3bty9sees7CpbDWJYlyX%2BFKphjgznOiWozh/rsfHM4ffq0pkyZos8//1zz588PZ7SwO98sZs%2BerdzcXN133326%2B%2B679cknn4QzXticaw6ff/65cnJydP/999sRK%2BzONYeJEydq8eLFat%2B%2BvWJiYnTHHXcoMTFRa9eutSNmyJ1rDpZlqXPnzhoxYoQaNWqk1NRUdevWTRs2bLAjZr1EwarDWrRoUe1fHceOHZPL5VJ8fHzAenx8fI3Hnn2cE9VmDvVZbedw8uRJ3XPPPTp8%2BLBWrFihiy66KFxRQ%2B6HnhONGjXSTTfdpK5duyonJyfUMUOuNnOYNWuWJkyYUC%2Bu3J3tx36PuPjii1VYWBiqeGFTmzm0bNlSzZo1C1hr06ZNvZhDXUHBqsOSk5N1%2BPBhHT16tHItLy9P7du3V5MmTaodm5%2BfX/lnn8%2BnTz75pPK5J05WmznUZ7WZg2VZyszMlNvt1vLly%2BtdEa3NLMaNG6cVK1YErLlcLrnd7rBkDaVg53Do0CF9%2BOGHWrBggXr37q3evXvrzTff1NKlS3XDDTfYEd2o2pwPS5Ys0d///veAtYKCAl1yySVhyRpKtZlDp06d9Nlnn1Ve4ZL850lCQkLY8tZ3FKw6LCkpSV27dtXTTz%2Bt0tJSFRQUaNmyZRo9erQk6brrrtOuXbskSaNHj9aaNWuUm5ursrIyLVq0SA0aNNDAgQNt/AzMqM0c6rPazGHt2rWVtwUbNmxoZ%2ByQqM0sunfvriVLluiTTz5ReXm5Nm/erJ07d2rQoEF2fgpGBDuH1q1ba8uWLXr99dcr3wYPHqxRo0ZpyZIlNn8WP15tzocjR47okUce0YEDB3Tq1CktW7ZMBw8e1I033mjnp2BEbeaQmpqq4uJiLV68WCdPntS6deuUn5%2BvkSNH2vkp1C/2/PIigvXtt99a99xzj9WrVy9r8ODB1oIFC6yKigrLsiyrQ4cO1pYtWyqPXbFihZWSkmJ1797dGjNmjPXpp5/aFdu4YOfw3HPPWcnJyVbnzp2tDh06WJ07d7aSk5Ot5557zs74xgQ7h7Fjx1qdOnWykpOTA94efPBBO%2BMbFewsTp8%2BbS1cuNC66qqrrK5du1rDhg2zVq9ebWd0o2rzPeK/TZ8%2Bvd68TINlBT%2BHkydPWrNnz7b69%2B9vde/e3Ro1alS1l/FwstqcDx9%2B%2BKE1cuRIKzk52RoyZMg5zxX8MC7L%2Bq/rgwAAAPjRuEUIAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIb9P30IYXQEhRsqAAAAAElFTkSuQmCC\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-6264594471923991863\">\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\">0.473507791757584</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.18919676542282102</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.43745428323745705</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.479246735572815</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.408158332109451</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.48079109191894503</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.300740599632263</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.478356659412384</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.17586351931095098</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.295817464590073</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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 (145)</td>\n",
       "        <td class=\"number\">145</td>\n",
       "        <td class=\"number\">93.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-6264594471923991863\">\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\">0.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0149958552792668</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0303698573261499</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0599007532000542</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0815394446253777</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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\">0.626006722450256</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.6271626353263849</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.633375823497772</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.635422587394714</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.6582486629486078</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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_Generosity\">Generosity<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>155</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>0.24688</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>0.83808</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.6%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-1197679356113060931\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAASxJREFUeJzt3cEJwkAQQFEVS7IIe/JsTxZhT7EB%2BaigWTfv3YW9fIbgbLJflmXZAU8d1j4AjOy49gHWcrrc3v7N/Xr%2BwkkYmQkCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBA2e2HqE%2B9esnLB6v%2BZIBAEAkEgEKZ4BvnkBQzwChMEgkAgCASCQCAIBIJAIAgEgkAgCATCfrQP6Gz9X3EbwGMxQSAIBMIUy4oz8eWrsZggEAQCQSAQBAJBIBAEAkEgEAQCQSAQBALBqskEvDP4ewSyQb/a95phr2y4%2ByAwEs8gEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEB6XniL7IWWzsQAAAABJRU5ErkJggg%3D%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-1197679356113060931,#minihistogram-1197679356113060931\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-1197679356113060931\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-1197679356113060931\"\n",
       "                                                  aria-controls=\"quantiles-1197679356113060931\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-1197679356113060931\" aria-controls=\"histogram-1197679356113060931\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-1197679356113060931\" aria-controls=\"common-1197679356113060931\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-1197679356113060931\" aria-controls=\"extreme-1197679356113060931\"\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-1197679356113060931\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>0.051493</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>0.15411</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>0.23154</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>0.32376</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>0.4897</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>0.83808</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>0.83808</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>0.16966</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>0.13478</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.54593</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>1.7434</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>0.24688</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.10278</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>0.89871</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>38.267</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>0.018166</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>1.3 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-1197679356113060931\">\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzt3XtUVXX6x/EPcPIucCzRxDLLEtFgUkuxi4gzqJmGZaKzukylow7KSOhojaWTppU1GTKp5SydLpMEmeUFV5kjJeOsMnOF5CVNKzEFA0QML8D5/eFP6ogGJ7%2Bwz%2Ba8X2u1XG52mwcfjuvNPnD0c7lcLgEAAMAYf6sHAAAAaGgILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMILAAAAMMcVg9ghX79%2BqmgoEB%2Bfn5Vx0aMGKHHH39c2dnZeuGFF/T111/r8ssv15gxYxQXF2fhtAAAwG58MrBKSkr06quvqnv37m7HDx8%2BrISEBE2fPl1DhgzR1q1bNW7cOF199dWKiIiwaFoAAGA3PhdYFRUVOn78uIKCgqq9bfXq1erYsaOGDx8uSYqKilL//v2VkZFx0YFVUHDsov7/8/H391OrVs1VWHhclZUu49fHxWE/3o39eDf2493stJ/WrVta8n597nuwSkpK5HK5tGDBAt1222269dZbNWPGDB0/fly5ubkKDw93O79Lly7avn27RdP%2BMn9/P/n5%2Bcnf36/mk1Hv2I93Yz/ejf14N/ZTM5%2B7g3Xq1Cl17dpV3bt319y5c5WXl6ekpCTNnDlTxcXFatOmjdv5wcHBKioq8uh95Ofnq6CgwO2Yw9FMISEhFz3/zwUE%2BLv9Cu/Cfrwb%2B/Fu7Me7sZ%2Ba%2BVxgtWnTRitWrKj6fadOnTR58mSNHz9ePXr0qHa%2By%2BVy%2B2b42khLS1NqaqrbsYSEBCUmJv66oWsQGNi0Tq4LM9iPd2M/3o39eDf2c2E%2BF1jn0759e1VUVMjf31/FxcVubysuLpbT6fToevHx8YqJiXE75nA0U1HR8Yue9ecCAvwVGNhUJSVlqqioNHptXDz2493Yj3djP97NTvtxOptb8n59LrB27typVatWacqUKVXH9u7dq0aNGqlv375655133M7fvn27IiMjPXofISEh1Z4OLCg4pvLyuvkkrKiorLNr4%2BKxH%2B/Gfrwb%2B/Fu7OfCfO7JU6fTqX//%2B99asmSJTp06pX379mnBggUaOXKk7rzzTuXl5Sk9PV0nT55UVlaWsrKyNGLECKvHBgAANuLncrm8%2B%2Bcr68Cnn36qefPm6auvvpLT6dTAgQM1adIkNWrUSJ9%2B%2BqmeffZZ7d27V%2B3bt9eECRMUGxt70e%2BzLl6mweHwl9PZXEVFx/kKwguxH%2B/Gfrwb%2B/FudtqPVS/T4JOBZQUCy/ewH%2B/Gfrwb%2B/FudtoPr4MFAADQQBBYAAAAhhFYAAAAhhFYAAAAhhFYAAAAhhFYAAAAhvncK7kDtTVofrbVI3gkc9LNVo8AAPh/3MECAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwzOcDa86cOercuXPV77OzszV8%2BHB1795dgwcP1sqVKy2cDgAA2JHD6gGstGPHDreAOnz4sBISEjR9%2BnQNGTJEW7du1bhx43T11VcrIiLCwkkBAICd%2BOwdrMrKSs2YMUMPPPBA1bHVq1erY8eOGj58uBo3bqyoqCj1799fGRkZFk4KAADsxmfvYC1fvlyNGjXSnXfeqZSUFElSbm6uwsPD3c7r0qWLMjMzPbp2fn6%2BCgoK3I45HM0UEhJycUOfIyDA3%2B1X%2BDaHg88DT/D48W7sx7uxn5r5ZGAdOXJECxYs0Kuvvup2vLi4WG3atHE7FhwcrKKiIo%2Bun5aWptTUVLdjCQkJSkxM/HUD1yAwsGmdXBf24nQ2t3oEW%2BLx493Yj3djPxfmk4E1d%2B5c3X333br22mt14MCBXzzX5XLJz8/Po%2BvHx8crJibG7ZjD0UxFRcc9nvWXBAT4KzCwqUpKylRRUWn02rAf059fDR2PH%2B/GfrybnfZj1RefPhdYmzdv1ueff67Zs2dXe5vT6VRxcbHbseLiYjmdTo/eR0hISLWnAwsKjqm8vG4%2BCSsqKuvs2rAPPgd%2BHR4/3o39eDf2c2E%2BF1jvvfeefvjhB0VHR0s6c4dKknr16qWHHnpIq1evdjt/%2B/btioyMrO8xAQCAjflcYE2bNk1//vOfq35/6NAhxcfH691331VlZaUWL16s9PR0DR06VP/73/%2BUlZWltLQ0CycGAAB243OBFRQUpKCgoKrfl5eXS5Latm0rSVq8eLGeffZZzZ07V%2B3bt9e8efMUFhZmyawAAMCefC6wztW%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%2BwlaBdcstt2jq1KnasmXLr75GWVmZkpKSNHbsWDVq1EiXXXaZBgwYoK%2B%2B%2BkqrV69Wx44dNXz4cDVu3FhRUVHq37%2B/MjIyDH4UAACgobNVYP3tb3/TDz/8oD/84Q8aNGiQli5dqsLCQo%2BuERQUpHvuuUcOx5nv7//mm2%2B0cuVK3X777crNzVV4eLjb%2BV26dNH27duNfQwAAKDhs9VPEcbFxSkuLk6FhYVau3at1qxZoxdeeEH9%2B/fXiBEjFBUVVetr5eXlacCAASovL9fIkSOVmJio0aNHq02bNm7nBQcHq6ioyKM58/Pzq76n6yyHo5lCQkI8uk5NAgL83X4F7MLhsP5zlsePd2M/3o391MxWgXVWq1atdO%2B99%2Bree%2B/VmjVrNHPmTK1bt04dO3bUpEmTFBsbW%2BM1QkNDlZOTo2%2B%2B%2BUZPPPGEpkyZct7zXC6X/Pz8PJovLS1NqampbscSEhKUmJjo0XVqKzCwaZ1cF6grTmdzq0eowuPHu7Ef78Z%2BLsyWgVVYWKgVK1bo7bff1rfffqubb75Z8fHxys/P1xNPPKG8vDw9%2BOCDNV7Hz89PV111lZKSkjRy5Ej17dtXxcXFbucUFxfL6XR6NF98fLxiYmLcjjkczVRUdNyj69QkIMBfgYFNVVJSpoqKSqPXBuqS6cfCr8Hjx7uxH%2B9mp/1Y9QWdrQLr448/Vnp6ujZs2KDg4GDdfffdGjFihEJDQ6vO6dq1qxISEi4YWNnZ2XryySeVmZkpf/8ztzbP/tqnTx%2B9/fbbbudv375dkZGRHs0ZEhJS7enAgoJjKi%2Bvm0/CiorKOrs2UBe86fOVx493Yz/ejf1cmK2ePP3jH/%2BokpISPffcc9q4caOSkpLc4kqSIiIi1LJlywteo1u3blXXKCsrU2FhoRYsWKCePXtqyJAhysvLU3p6uk6ePKmsrCxlZWVpxIgRdf2hAQCABsRWd7DWrVunDh066NSpU1U/BVhaWqoWLVq4nbd27doLXiMoKEhLly7VU089pd69e6tZs2bq3bu3nnrqKV166aVavHixnn32Wc2dO1ft27fXvHnzFBYWVqcfFwAAaFhsFVj%2B/v66/fbblZiYqIEDB0qS3nrrLWVkZGjx4sW64ooranWdsLAwvfbaa%2Bd924033qj09HRjMwMAAN9jq6cIn3rqKXXu3Fk9evSoOjZ06FBFRERo7ty5Fk4GAADwE1vdwfr888%2B1ceNGNW3604%2BFXnbZZXriiSfUr18/CycDAAD4ia3uYLlcLp06dara8dLSUlVUVFgwEQAAQHW2Cqxbb71VU6dO1c6dO1VaWqqSkhJt3bpVycnJio6Otno8AAAASTZ7ivCxxx5TQkKC4uLi3F5dvWfPnpoxY4aFkwEAAPzEVoF16aWXavny5dq5c6e%2B%2BeYbBQQE6KqrrlKnTp2sHg0AAKCKrQLrrLCwMF6bCgAAeC1bBVZOTo5mz56t3bt368SJE9XevmPHDgumAgAAcGerwHr88cfVrFkzTZw4Uc2aNbN6HAAAgPOyVWDt379fmzZtqvZP4wAAAHgTW71MQ7t27aweAQAAoEa2CqykpCTNmTNHpaWlVo8CAABwQbZ6inDhwoU6cOCAVq5cqeDgYPn7u/fhpk2bLJoMAADgJ7YKrJiYGKtHwEUYND/b6hEAAKgXtgqsCRMmWD0CAABAjWz1PViStHXrVk2dOlX33XefJKmyslJr1661eCoAAICf2Cqw1qxZo/vuu09Hjx7Vtm3bJEmHDh3SjBkzlJGRYfF0AAAAZ9gqsBYvXqznnntOixYtqvrHntu1a6eUlBT961//sng6AACAM2wVWN9%2B%2B61iY2MlqSqwJKlXr146cOCAVWMBAAC4sVVgOZ1OFRYWVju%2Bb98%2BNWnSxIKJAAAAqrNVYPXu3Vt//etftXfvXklScXGxNm3apEmTJik6Otra4QAAAP6frQJr6tSpKisr0%2BDBg3Xy5ElFRUVp9OjRCg0N1bRp06weDwAAQJLNXgcrODhYr732mnbu3Kmvv/5aTZo0UceOHdWxY0erRwMAAKhiq8A6KywsTGFhYVaPAQAAcF62CqywsDC3nx48144dO%2BpxGgAAgPOzVWDNmDHDLbAqKiq0b98%2BffTRRxo/fryFkwEAAPzEVoE1atSo8x7/5JNPlJaWpmHDhtXzRAAAANXZ6qcIL%2BTGG29UVlaW1WMAAABIaiCBtWHDBjkctroZBwAAGjBbVcktt9xS7djJkydVWlp6wacPAQAA6putAis%2BPr7aTxE2btxY11xzjWJiYiyaCgAAwJ2tAmvixIlWjwAAAFAjWwVWampqrc7z8/NTQkJCHU8DAABwfrYKrHfeeUdHjhzRyZMn1bRpUzkcDh07dkxNmjRRixYt3M4lsAAAgFVsFVjJycn68MMPNWXKFLVt21aS9N1332nevHkaNGiQBg0aZPGEAAAANgusF198UW%2B99ZaCgoKqjl1xxRWaOXOm4uPjCSwAAOAVbPU6WN9//70CAgKqHb/kkkt05MgRCyYCAACozlaBde2112rq1KnKzc1VSUmJSktLtXPnTj322GPq3Lmz1eMBAABIstlThLNmzVJycrLuvvvuqtfDcrlcateunV566SWLpwMAADjDVoEVHh6uzMxMbd%2B%2BXd9//71cLpfatm2rbt26yd/fVjfjAABAA2arwDorKChIx44dU1RUlNWjAAAAVGOr2z6FhYV6%2BOGH9bvf/U5jxoyRJBUUFOiOO%2B7QoUOHLJ4OAADgDFsF1tNPP63Kykqlp6dXPSXYsmVLhYeH6%2Bmnn7Z4OgAAgDNs9RThRx99pHfffVdt2rSp%2Bib3Jk2a6NFHH9WQIUMsng4AAOAMW93BOn36tEJCQqodb9KkiUpLSy2YCAAAoDpbBdY111yj999/v9rxtLQ0dezY0YKJAAAAqrPVU4QPPfSQpkyZoszMTFVUVGjWrFnKzc3VF198ofnz51s9HgAAgCSb3cEaOHCgFi9erPLycl155ZX6/PPPFRoaquXLlys2Ntbq8QAAACTZ7A5WTk6OoqKieP0rAADg1Wx1B%2Bv%2B%2B%2B9XRUWF1WMAAAD8IlsF1uDBg7Vs2TK5XC6rRwEAALggWz1FeOTIEW3YsEGvvPKK2rVrp0aNGrm9ffny5RZNBgAA8BNbBZbT6VTfvn2tHgMAAOAX2SKwEhMTlZKSorlz51YdS0lJUWJi4q%2B%2BZl5enubMmaMtW7bIz89Pt912m6ZPn67AwEDl5uZq7ty52rFjhy699FKNGDFCo0ePNvGhAAAAH2CL78HKysqqduyf//znRV3zT3/6kwIDA7VhwwatWrVKX3/9tZ555hmdOHFC48aNU%2B/evfXxxx9r/vz5WrJkidatW3dR7w8AAPgOWwTW%2BVzMN7qXlJQoPDxcycnJat68uVq3bq24uDht2bJFGzduVHl5ucaPH69mzZopPDxc99xzj9LT0w1ODwAAGjJbPEV4Pmf/sedfIzAw0O3pRkk6ePCgQkJClJubq86dOysgIKDqbV26dNFbb71V6%2Bvn5%2BeroKDA7ZjD0ey8/47ixQgI8Hf7FbALh8P6z1keP96N/Xg39lMz2waWSTk5OXrjjTe0cOFCZWZmKjAw0O3twcHBKi4uVmVlpfz9a/5kSktLU2pqqtuxhISEi/qesV8SGNi0Tq4L1BWns7nVI1Th8ePd2I93Yz8X5vOB9dlnn2n8%2BPFKTk5Wnz59lJmZWe0cl8vl0R2z%2BPh4xcTEuB1zOJqpqOj4Rc/7cwEB/goMbKqSkjJVVFQavTZQl0w/Fn4NHj/ejf14Nzvtx6ov6GwRWKdPn1ZycnKNx55//nmPrvuf//xHkydP1uOPP664uDhJUqtWrbR//363844eParg4OBa3b2SpJCQkGpPBxYUHFN5ed18ElZUVNbZtYG64E2frzx%2BvBv78W7s58JsEVg9evRQfn5%2Bjcc8sXXrVv3lL3/Riy%2B%2BqFtuuaXqeLdu3fTmm2%2BqvLxcDseZP56cnBxFRkb%2B6vcFAAB8iy0C67XXXjN6vfLyck2fPl2TJ092iytJ6tu3r1q0aKGFCxdq9OjR2r17tzIyMjRv3jyjMwAAgIbLJ7/9f9u2bdq7d69mz56t66%2B/3u2/goICLVq0SJ988oluueUWTZ06VUlJSYqOjrZ6bAAAYBO2uINlWs%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%2BffooKSmp2ttWr16tIUOG6IYbbtBdd92ljz76yIIJAQCAXTmsHsAKr7zyijIyMtShQ4dqb/vyyy/16KOPKjU1Vb1799YHH3ygiRMnat26dbr88sstmBYAANiNT97Baty48QUDKyMjQ3379lXfvn3VuHFj3XHHHQoLC9OqVassmBQAANiRTwbW/fffr5YtW573bbm5uQoPD3c71qVLF%2BXk5NTHaAAAoAHwyacIf0lxcbGCgoLcjgUFBWnPnj21vkZ%2Bfr4KCgrcjjkczRQSEmJkxrMCAnyyjwHUwOGw/98NZ/9%2B4%2B8578R%2BakZg1ZKfn1%2Btz01LS1NqaqrbsYSEBCUmJpoeCwCqcTqbWz2CMYGBTa0eAb%2BA/VwYgXUOp9OpoqIit2PFxcVyOp21vkZ8fLxiYmLcjjkczVRUdNzIjGfxlQOA8zH9d40VAgL8FRjYVCUlZaqoqLR6HJzDTvux6gsOAusc3bp10/bt292O5eTkaPDgwbW%2BRkhISLWnAwsKjqm83Ls/CQE0DA3p75qKisoG9fE0NOznwrgFco4RI0bov//9rzZu3KiTJ08qIyND%2B/fv19ChQ60eDQAA2IRP3sG6/vrrJUnl5eWSpPXr10s6c6fquuuu03PPPae///3vOnDggDp16qTFixerdevWls0LAADsxScDq6aXXIiNjVVsbGw9TQMAABoaniIEAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwjMACAAAwzGH1AAAAswbNz7Z6hFrLnHSz1SMAdYI7WAAAAIYRWAAAAIYRWAAAAIYRWAAAAIYRWAAAAIYRWAAAAIbxMg0AAMvY6SUlJPu9rISd/nzt9mdbE%2B5gAQAAGEZgncd3332nMWPGqFevXurXr5%2BeeeYZVVRUWD0WAACwCQLrPBITE9W2bVutX79ey5Yt04YNG7Rs2TKrxwIAADZBYJ0jJydHu3bt0uTJk9WyZUt16NBBDz74oNLT060eDQAA2ATf5H6O3NxchYaGKigoqOpYeHi49u3bp9LSUrVo0aLGa%2BTn56ugoMDtmMPRTCEhIUZnDQigjwGgPjkc/L1bVxrany2BdY7i4mIFBga6HTsbW0VFRbUKrLS0NKWmprodmzBhgiZOnGhuUJ0JuQfafqX4%2BHjj8YaLl5%2Bfr7S0NPbjpdiPd2M/Zmx5amCdXJf91Kxh5WIdcblckiQ/P79anR8fH68VK1a4/RcfH298roKCAqWmpla7WwbvwH68G/vxbuzHu7GfmnEH6xytWrVSUVGR27GjR4/Kz89PTqezVtcICQmh6AEA8GHcwTpHt27ddPDgQRUWFlYdy8nJUadOndS8eXMLJwMAAHZBYJ0jPDxcERERev7551VaWqq9e/dq6dKlGjVqlNWjAQAAmwiYOXPmTKuH8Da33nqrMjMz9fTTT%2Bv9999XXFycHn744Vp/D1Z9at68uW666Sburnkp9uPd2I93Yz/ejf38Mj/X2e/gBgAAgBE8RQgAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgeXlvvvuO40ZM0a9evVSv3799Mwzz6iiouK85y5btkwDBgxQjx49NGrUKH3xxRf1PK3v8WQ/b775pgYMGKAbbrhBQ4YM0fr16%2Bt5Wt/jyX7OOnz4sG644QYtWLCgnqb0XZ7sZ%2B/evbrvvvsUGRmpvn37aunSpfU8re%2Bp7X4qKyuVkpKimJiYqr/f1q5da8HEXsYFrxYXF%2BeaPn26q6SkxLV//35XbGysa8mSJdXO%2B%2BCDD1w9e/Z0bdu2zVVWVuZ65ZVXXH369HGVlpZaMLXv8GQ/PXr0cG3ZssV1%2BvRp14oVK1xdu3Z1ffvttxZM7Ttqu5%2BfmzBhgqt79%2B6ulJSUeprSd9V2P2VlZa7o6GjXokWLXD/%2B%2BKNr27Ztrttvv921Z88eC6b2HbXdz%2Buvv%2B66%2BeabXbt373adPn3a9cEHH7jCw8NdO3bssGBq78EdLC%2BWk5OjXbt2afLkyWrZsqU6dOigBx98UOnp6dXOTU9P11133aXIyEg1adJEDz/8sPz9/bVx48b6H9xHeLKfH3/8UY888oh69Oghh8OhYcOGqXnz5tq2bZsFk/sGT/ZzVlZWlr766itFR0fX36A%2BypP9ZGZmqkWLFho7dqyaNm2qyMhIrVmzRtdcc40Fk/sGT/aTm5urnj176tprr5XD4dBvf/tbBQcHa9euXRZM7j0ILC%2BWm5ur0NBQBQUFVR0LDw/Xvn37VFpaWu3c8PDwqt/7%2BfkpLCxMOTk59Tavr/FkP0OHDtXvf//7qt%2BXlJTo%2BPHjatOmTb3N62s82Y8knThxQk8%2B%2BaRmzJihSy65pD5H9Ume7Oezzz7Tddddp0cffVQ9e/bUwIEDtXr16voe2ad4sp/o6Gh98skn%2BvLLL3Xq1CmtX79eZWVluummm%2Bp7bK9CYHmx4uJiBQYGuh07%2B8leVFRU7dyfPxDOnnvueTDHk/38nMvl0vTp0xUZGenzfwHVJU/3849//EO/%2Bc1vFBUVVS/z%2BTpP9nPo0CF9%2BOGH6tOnjzZt2qRx48ZpypQp2rFjR73N62s82U/Avxw1AAADcElEQVRsbKzi4%2BM1bNgwXX/99UpOTtacOXN0%2BeWX19u83shh9QDwjMvlknTmDlVtzq3NeTCnpv2cPn1a06ZN0549e/Tqq6/W52jQhfezZ88eZWRk6L333rNiLPy/C%2B3H5XKpa9euGjJkiCQpLi5Oy5cv17p169SlS5d6n9NXXWg/K1eu1MqVK5Wenq7OnTtr8%2BbNSk5OVrt27RQREWHFqF6BO1herFWrVtW%2BUjh69Kj8/PzkdDrdjjudzvOee%2B55MMeT/UhnnoIaO3asDh48qDfeeEOXXXZZfY3qkzzZz8yZMzVhwgS1bt26Pkf0aZ7sp3Xr1mrZsqXbsXbt2ik/P7/O5/RVnuzn9ddfV3x8vCIiItS4cWNFR0erd%2B/ePv8FC4Hlxbp166aDBw%2BqsLCw6lhOTo46deqk5s2bVzs3Nze36vcVFRX68ssvFRkZWW/z%2BhpP9uNyuZSUlCSHw6Fly5YRvvWgtvvJy8vTp59%2BqpSUFPXq1Uu9evXSmjVrtGTJEg0bNsyK0X2CJ4%2BfLl26aPfu3VV3UKQzewsNDa23eX2NJ/uprKys9vINNb0cii8gsLxYeHi4IiIi9Pzzz6u0tFR79%2B7V0qVLNWrUKEnSwIEDtWXLFknSqFGjtHLlSm3btk1lZWVauHChGjVqxE9D1SFP9rNq1Srt2bNHL774oho3bmzl2D6jtvtp27atsrKy9O6771b9FxMTo5EjR%2Brll1%2B2%2BKNouDx5/MTFxam4uFiLFi3SiRMntHr1auXm5mro0KFWfggNmif7iYmJUUZGhnbu3Kny8nJlZ2crOztb/fv3t/JDsBzfg%2BXlUlJSNHPmTMXExKhly5aKi4ur%2Bmm0ffv26ccff5Qk3XbbbXrkkUc0bdo0FRQUqGvXrnr55ZfVpEkTK8dv8Gq7n7ffflt5eXnVvqn9zjvv1OzZs%2Bt9bl9Rm/0EBASobdu2bv9f06ZN1aJFC54yrGO1ffwEBQXp5Zdf1qxZs/TSSy%2BpXbt2eumll3TllVdaOX6DV9v9jB07VuXl5UpISFBhYaFCQ0M1a9Ysn/%2BBET/Xz%2B%2B5AgAA4KLxFCEAAIBhBBYAAIBhBBYAAIBhBBYAAIBhBBYAAIBhBBYAAIBhBBYAAIBhBBYAAIBhBBYAAIBhBBYAAIBhBBYAAIBhBBYAAIBhBBYAAIBh/wcNj37jVtZttwAAAABJRU5ErkJggg%3D%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-1197679356113060931\">\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\">0.270061463117599</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0951027125120163</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.47554022073745705</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0782579854130745</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.13936237990856198</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.33047387003898604</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.23618887364864302</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.283488392829895</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.41598364710807795</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.387242913246155</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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 (145)</td>\n",
       "        <td class=\"number\">145</td>\n",
       "        <td class=\"number\">93.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-1197679356113060931\">\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\">0.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.010164656676352</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0288068410009146</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0322099551558495</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0437853783369064</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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\">0.500005125999451</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.572123110294342</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.5747305750846861</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.611704587936401</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.8380751609802249</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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_Happiness.Rank\">Happiness.Rank<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>155</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>78</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>1</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>155</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=\"minihistogram6983313390056868834\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAAQ5JREFUeJzt18GpwlAQQFEjlmQRvyfX9mQR9jTuP3IhLkzUc/aPNwQu87LMzByAp45bDwB7dtp6gP/Ol9vqM/fr327vWesdc/36N17DBoEgEAjL3n7SX1nLfA9PLPggAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIy8zM1kPAXtkgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEB7DYx6KtlP60gAAAABJRU5ErkJggg%3D%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives6983313390056868834,#minihistogram6983313390056868834\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives6983313390056868834\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles6983313390056868834\"\n",
       "                                                  aria-controls=\"quantiles6983313390056868834\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram6983313390056868834\" aria-controls=\"histogram6983313390056868834\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common6983313390056868834\" aria-controls=\"common6983313390056868834\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme6983313390056868834\" aria-controls=\"extreme6983313390056868834\"\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=\"quantiles6983313390056868834\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>8.7</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>39.5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>78</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>116.5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>147.3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>155</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>154</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>77</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>44.889</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.5755</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-1.2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>78</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>38.748</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>12090</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>2015</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>1.3 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=\"histogram6983313390056868834\">\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzt3XtYVXW%2Bx/EPsBMFQWESPTqOp2N5IbUsHZIcL5jaTSVtYjyn6KYzYyijR0prvDWZWqOdUjpWNml1OsmRmryXmXmbPDOpZUjqKadSMGKrKEJ42Xuv84ePTBtQgf3Ltdfm/XoeHx5%2Ba60f3%2B9ewO/jWntvwizLsgQAAABjwu0uAAAAINQQsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYS67C2go3O4TRuYJDw9TfHy0jh4tl89nGZkz2IR6j6Hen0SPoSDU%2B5PoMRTUpr8WLWIucVVncQXLYcLDwxQWFqbw8DC7S/nRhHqPod6fRI%2BhINT7k%2BgxFARzfwQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMabMDasmWLkpOTNWHChGrbvvvuO40ZM0bXXnutkpOTNW/ePHm9XhuqBAAATtQgA9aiRYs0c%2BZMtWvXrto2y7I0duxY/dM//ZO2bt2q119/Xdu2bdPf/vY3GyoFAABO1CD/2HNkZKRyc3P15JNP6tSpU37bPv74Yx04cEBvvPGGGjVqpKZNmyo3N9emSgEAgBM1yICVnp5%2B3m07duxQx44d9eyzz%2Bqtt95S06ZNdc899%2Bi%2B%2B%2B6r9fzFxcVyu91%2BYy5XlBISEupbcqWIiHC/j6Eo1HsM9f4kegwFod6fRI%2BhIJj7a5AB60KKioq0a9cu9enTRxs3btTHH3%2BssWPHqm3bthowYECt5sjJyVF2drbfWEZGhjIzM43VGRvbRJLU4/fvGpvzx7b9yZvrtP%2B5Hu3ipMdWqvvjeynYfQ5NacjfCz/2OWzIj%2B2l4KTHN5DHNhh/1xCwqrAsS3FxcRo1apQkqU%2BfPho4cKDWrFlT64CVlpamlJQUvzGXK0olJeUB1xcREa7Y2CYqLa2Q1%2BsLeL5Lqbb9O7lHO5n4/jKFc2ivhv675scUTD9noaY%2Bj21tvk/j4qIDLa1eCFhVtGjRQjExMX5jrVu31q5du2o9R0JCQrXbgW73CXk85n5Jeb0%2Bo/NdCnWt14k92ikYHyvOoT0a%2Bu%2BaHxOPxY8nkMc2GL9Pg%2B%2Bmpc06d%2B6sgwcPqrz8H0m6sLBQbdq0sbEqAADgJASsKvr376/4%2BHg9/fTT%2Bv7777Vt2zatX79ew4cPt7s0AADgEA3yFmHXrl0lSR6PR5K0fv16SVJeXp4iIiL04osvatq0abrhhhsUHx%2Bvxx9/XD179rStXgAA4CwNMmDl5eVdcPtVV12lN9988xJVAwAAQg23CAEAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgWJhlWZbdRTQEbvcJI/O4XOGKi4tWSUm5PB6fbnn2L0bmBQDATmvH31jnY6quiTVp0SIm0NLqhStYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMCwBhuwtmzZouTkZE2YMOG8%2B5SXl6tv376aPHnyJawMAAA4ncvuAuywaNEi5ebmql27dhfcb8GCBSorK7tEVQEAgFDRIK9gRUZGXjRg7d27VytXrtQdd9xxCSsDAAChoEFewUpPT7/gdsuyNGPGDE2YMEHffvttna9iFRcXy%2B12%2B425XFFKSEioc61VRUSE%2B30EACAUuFx1X9eCeU1skAHrYnJychQWFqYRI0YoOzu7XsdXPS4jI0OZmZmmSlRsbBNjcwEAYLe4uOh6HxuMayIBq4ojR45o/vz5Wrx4scLCwuo1R1pamlJSUvzGXK4olZSUB1xfRES4YmObqLS0Ql6vL%2BD5AAAIBvVZI2uzJgYS3AJBwKpizpw5GjZsmDp27FjvORISEqrdDnS7T8jjMReIvF6f0fkAALBTIGtaMK6JBKwqVqxYodjYWL399tuSpJMnT8rn8%2BnDDz/UX//6V5urAwAATkDAqmLTpk1%2Bny9evFhFRUV69NFHbaoIAAA4TYMMWF27dpUkeTweSdL69eslSXl5eWrVqpXfvk2bNlWTJk2qjQMAAJxPgwxYeXl5td533LhxP2IlAAAgFAXfG0cAAAA4HAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQ02YG3ZskXJycmaMGFCtW3r1q3T0KFD1b17dw0cOFA5OTk2VAgAAJzKZXcBdli0aJFyc3PVrl27atvy8vKUlZWlZ555Rv3799e2bdv029/%2BVu3bt1ePHj1sqBYAADhNg7yCFRkZed6AVVJSot/85je66aabFBERod69e6tDhw7avn27DZUCAAAnapBXsNLT08%2B7rU%2BfPurTp0/l5x6PR263Wy1btqz1/MXFxXK73X5jLleUEhIS6l5sFRER4X4fAQAIBS5X3de1YF4TG2TAqou5c%2BcqKipKt956a62PycnJUXZ2tt9YRkaGMjMzjdUVG9vE2FwAANgtLi663scG45pIwDoPy7I0d%2B5crVq1Sq%2B99poiIyNrfWxaWppSUlL8xlyuKJWUlAdcV0REuGJjm6i0tEJery/g%2BQAACAb1WSNrsyYGEtwCQcCqgc/n06OPPqrPPvtMb775ptq2bVun4xMSEqrdDnS7T8jjMReIvF6f0fkAALBTIGtaMK6JBKwazJo1S1988YXefPNNNW/e3O5yAACAwxCwqtixY4dWrFihNWvWEK4AAEC9NMiA1bVrV0lnXyEoSevXr5d09j2w3nrrLZ04cUL9%2B/f3O6Znz5565ZVXLm2hAADAkcIsy7LsLqIhcLtPGJnH5QpXXFy0SkrK5fH4dMuzfzEyLwAAdlo7/sY6H1N1TaxJixYxgZZWL8H3xhEAAAAOR8ACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgWIMNWFu2bFFycrImTJhQbduqVas0ZMgQde/eXcOHD9fmzZttqBAAADiV4wLWiRMnAp5j0aJFmjlzptq1a1dt2%2Beff65HH31UWVlZ%2Bt///V898MADGjdunL799tuAvy4AAGgYHBewevfurUmTJmn79u31niMyMlK5ubk1Bqzc3Fz17dtXffv2VWRkpG6//XZ16tRJK1euDKRsAADQgDguYD3%2B%2BOM6cuSI7rvvPt1yyy1avHixjh49Wqc50tPTFRMTU%2BO2/Px8JSYm%2Bo117txZeXl59a4ZAAA0LC67C6ir1NRUpaam6ujRo1qzZo1Wr16t//iP/9CAAQN01113qVevXgHNf%2BzYMTVr1sxvrFmzZvryyy9rPUdxcbHcbrffmMsVpYSEhIBqk6SIiHC/jwAAhAKXq%2B7rWjCviY4LWOfEx8fr7rvv1t13363Vq1drxowZevfdd3XFFVdo/PjxGjRokNGvFxYWVut9c3JylJ2d7TeWkZGhzMxMY/XExjYxNhcAAHaLi4uu97HBuCY6NmAdPXpUb7/9tt566y0dOHBAN954o9LS0lRcXKxp06apsLBQ999/f53njYuLU0lJid/YsWPHFBcXV%2Bs50tLSlJKS4jfmckWppKS8zvVUFRERrtjYJiotrZDX6wt4PgAAgkF91sjarImBBLdAOC5gbdmyRcuWLdOGDRvUvHlzjRgxQnfddZfatGlTuc/VV1%2BtjIyMegWsLl26aPfu3X5jeXl5uu2222o9R0JCQrXbgW73CXk85gKR1%2BszOh8AAHYKZE0LxjXRcQHr17/%2BtZKSkjR37lzddNNNcrmqt9CtW7fzPon9Yu666y7deeed2rhxo3r16qWVK1fq66%2B/1tChQwMtHQAANBCOC1jvvvuu2rVrp9OnT1eGq7KyMjVt2tRvvzVr1px3jq5du0qSPB6PJGn9%2BvWSzl6p6tChg%2BbOnatnnnlGBQUFuvLKK/Xiiy%2BqRYsWP0Y7AAAgBDkuYIWHh%2BvWW29VZmambr75ZknS//zP/yg3N1cvvvii2rZte9E5LvaWC4MGDTL%2BJHkAANBwBN/rGi/iySefVMeOHXX99ddXjg0dOlTdunXT7NmzbawMAADgLMddwfrkk0%2B0ceNGNWnyj5dkXn755Zo2bZr69%2B9vY2UAAABnOe4KlmVZOn36dLXxsrIyeb1eGyoCAADw57iA9Ytf/EKTJk3S3r17VVZWptLSUu3cuVMTJ05Uv3797C4PAADAebcIH3vsMWVkZCg1NdXv3dV79Oih6dOn21gZAADAWY4LWD/5yU%2B0dOlS7d27V998840iIiL0z//8z7ryyivtLg0AAECSAwPWOZ06dVKnTp3sLgMAAKAaxwWsvLw8zZw5U//3f/%2BnkydPVtu%2BZ88eG6oCAAD4B8cFrKlTpyoqKkrjxo1TVFSU3eUAAABU47iA9fXXX2vr1q3V/jQOAABAsHDc2zS0bt3a7hIAAAAuyHEBa8KECZo1a5bKysrsLgUAAKBGjrtFuHDhQhUUFOidd95R8%2BbNFR7unxG3bt1qU2UAAABnOS5gpaSk2F0CAADABTkuYI0dO9buEgAAAC7Icc/BkqSdO3dq0qRJuueeeyRJPp9Pa9assbkqAACAsxwXsFavXq177rlHx48f16effipJKioq0vTp05Wbm2tzdQAAAA4MWC%2B%2B%2BKLmzp2rF154ofKPPbdu3Vrz58/Xq6%2B%2BanN1AAAADgxYBw4c0KBBgySpMmBJUlJSkgoKCuwqCwAAoJLjAlZcXJyOHj1abfyrr75S48aNbagIAADAn%2BMC1g033KDf//732r9/vyTp2LFj2rp1q8aPH69%2B/frZWxwAAIAcGLAmTZqkiooK3XbbbTp16pR69eqlUaNGqU2bNpo8ebLd5QEAADjvfbCaN2%2Bu119/XXv37tXf//53NW7cWFdccYWuuOIKu0sDAACQ5MCAdU6nTp3UqVMnu8sAAACoxnEBq1OnTn6vHqxqz549l7AaAACA6hwXsKZPn%2B4XsLxer7766itt3rxZY8aMsbEyAACAsxwXsEaOHFnj%2BN/%2B9jfl5OTojjvuuMQVAQAA%2BHPcqwjPp2fPntq0aZORufbs2aP09HT16NFDN954o7Kysmp87y0AAICahEzA2rBhg1yuwC/Ieb1ejR49Wl27dtXWrVu1YsUKHT58WDNmzAi8SAAA0CA47hZh7969q42dOnVKZWVl5719WBfFxcVyu90aPny4GjdurMaNG2vw4MF65ZVXAp4bAAA0DI4LWGlpadVeRRgZGan27dsrJSUl4Plbtmypzp07a%2BnSpRo/frxOnjyp9957j3eJBwAAtRZmWZZldxHB5sCBA3rggQd08OBBSWef3/Xyyy/X%2Bm8dnrsK9kMuV5QSEhICri0iIlyxsU1UWlohr9engXO3BDwnAAB2ez/rF3U%2BpuqaWJO4uOhAS6sXx13Bys7OrtV%2BYWFhysjIqPP8p0%2Bf1pgxYzR48GD99re/1ffff6/HH39cWVlZtf7aOTk51fbNyMhQZmZmnes5n9jYJsbmAgDAboEEoWBcEx13BWvAgAE6fPiwTp06pSZNmsjlcunEiRNq3LixmjZt6rfv1q1b6zz/pk2blJmZqZ07dyoiIkKStHfvXg0bNkx//etf1bx584vOwRUsAADqhitYNps4caI%2B%2BOADPfzww2rVqpUk6eDBg/rjH/%2BoW265RbfccktA83u9Xvl8Pv0wd3o8njrNkZCQUC1Mud0n5PHUfPLrw%2Bv1GZ0PAAA7BbKmBeOa6Li3aXjuuec0bdq0ynAlSW3bttWMGTP0zDPPBDx/9%2B7dFRUVpQULFqiiokIlJSV64YUX1LNnz1pdvQIAAHBcwPr2228rb9390GWXXabDhw8HPH9cXJz%2B9Kc/aefOnerTp49uv/12XXbZZZo3b17AcwMAgIbBcbcIr7rqKk2aNEkPPfSQ2rZtq/DwcBUUFOj5559Xx44djXyNLl266PXXXzcyFwAAaHgcF7CeeOIJTZw4USNGjKh8PyzLstS6dWv953/%2Bp83VAQAAODBgJSYmau3atdq9e7e%2B/fZbWZalVq1aqUuXLgoPd9wdTwAAEIIcF7DOadasmU6cOKFevXrZXQoAAIAfx13yOXr0qB588EENHDhQo0ePliS53W7dfvvtKioqsrk6AAAABwasOXPmyOfzadmyZZW3BGNiYpSYmKg5c%2BbYXB0AAIADbxFu3rxZy5cvV8uWLSuf5N64cWM9%2BuijGjJkiM3VAQAAOPAK1pkzZ2r8kzONGzdWWVmZDRUBAAD4c1zAat%2B%2BvdatW1dtPCcnR1dccYUNFQEAAPhz3C3CBx54QA8//LDWrl0rr9erJ554Qvn5%2Bfrss8/07LPP2l0eAACA865g3XzzzXrxxRfl8Xj0s5/9TJ988onatGmjpUuXatCgQXaXBwAA4LwrWHl5eerVqxfvfwUAAIKW465gpaeny%2Bv12l0GAADAeTkuYN12221asmSJLMuyuxQAAIAaOe4W4eHDh7VhwwYtWrRIrVu3VqNGjfy2L1261KbKAAAAznJcwIqLi1Pfvn3tLgMAAOC8HBOwMjMzNX/%2BfM2ePbtybP78%2BcrMzLSxKgAAgOoc8xysTZs2VRv705/%2BZEMlAAAAF%2BaYgFUTnugOAACCkaMD1rk/9gwAABBMHB2wAAAAghEBCwAAwDDHvIrwzJkzmjhx4kXH5s2bdynLAgAAqMYxAev6669XcXHxRccAAADs5piA9frrr9tdAgAAQK3wHCwAAADDCFgAAACGEbAAAAAMI2Cdx8KFC9W7d29de%2B21uu%2B%2B%2B3Tw4EG7SwIAAA5BwKrBG2%2B8oXfeeUevvvqqtmzZovbt22vJkiV2lwUAABzCMa8ivJReeeUVPfzww2rfvr0kaerUqTZXBAAAnIQrWFV89913KigoUFlZmW699VYlJSUpMzNTR48etbs0AADgEFzBqqKoqEiStHbtWi1evFiWZWn8%2BPGaNm2asrOzazVHcXGx3G6335jLFaWEhISA64uICPf7CABAKHC56r6uBfOaSMCqwrIsSdKoUaPUsmVLSdLYsWM1evRonTp1SpGRkRedIycnp1oYy8jIUGZmprE6Y2ObGJsLAAC7xcVF1/vYYFwTCVhVXH755ZKk2NjYyrHWrVvL5/PpyJEjat269UXnSEtLU0pKit%2BYyxWlkpLygOuLiAhXbGwTlZZWyOv1BTwfAADBoD5rZG3WxECCWyAIWFW0atVK8fHx2rNnj66%2B%2BmpJUmFhoS677LJa3%2BJLSEiotq/bfUIej7lA5PX6jM4HAICdAlnTgnFNDL6bljZzuVxKS0vTCy%2B8oG%2B%2B%2BUZHjhzR888/ryFDhsjlIo8CAICLIzHU4KGHHtLx48f1y1/%2BUmfOnNHgwYM1ZcoUu8sCAAAOQcCqQaNGjTR9%2BnRNnz7d7lIAAIADcYsQAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYFzFr1ix17NjR7jIAAICDELAuYM%2BePXrnnXfsLgMAADgMAes8fD6fpk%2BfrnvvvdfuUgAAgMMQsM5j6dKlatSokYYNG2Z3KQAAwGFcdhcQjA4fPqwFCxbotddeq9fxxcXFcrvdfmMuV5QSEhICri0iItzvIwAAocDlqvu6FsxrIgGrBrNnz9aIESN01VVXqaCgoM7H5%2BTkKDs7228sIyNDmZmZpkpUbGwTY3MBAGC3uLjoeh8bjGsiAauKbdu26ZNPPtHMmTPrPUdaWppSUlL8xlyuKJWUlAdaniIiwhUb20SlpRXyen0BzwcAQDCozxpZmzUxkOAWCAJWFStWrNCRI0fUr18/SZJlWZKkpKQkTZs2TbfddttF50hISKh2O9DtPiGPx1wg8np9RucDAMBOgaxpwbgmErCqmDx5sn73u99Vfl5UVKS0tDQtX75czZo1s7EyAADgFASsKpo1a%2BYXpDwejySpVatWdpUEAAAcJviedh9kfvrTn2rfvn12lwEAAByEgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBKwaFBYWKiMjQ0lJSbrhhhv0yCOPqLS01O6yAACAQxCwavDQQw8pNjZWGzZs0MqVK/X3v/9dTz31lN1lAQAAhyBgVVFaWqrExERNnDhR0dHRatGihVJTU7V9%2B3a7SwMAAA7hsruAYBMbG6vZs2f7jR06dEgJCQk2VQQAAJyGgHUReXl5euONN7Rw4cJaH1NcXCy32%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%2B/XkuWLNGGDRu0ZMkSu8sCAAAOQcCqIi8vT/v27VNWVpZiYmLUrl073X///Vq2bJndpQEAAIdw2V1AsMnPz1ebNm3UrFmzyrHExER99dVXKisrU9OmTS86R3Fxsdxut9%2BYyxWlhISEgOuLiAj3%2BwgAQChwueq%2BrgXzmkjAquLYsWOKjY31GzsXtkpKSmoVsHJycpSdne03NnbsWI0bNy7g%2BoqLi/Xqqy8rLS1NCQkJ2v7kzQHPGWyKi4uVk5NT2WOoCfX%2BJHoMBaHen0SPoaDqmhhMgi/yBSHLsiRJYWFhtdo/LS1Nb7/9tt%2B/tLQ0I7W43W5lZ2dXu0IWSkK9x1DvT6LHUBDq/Un0GAqCuT%2BuYFURHx%2BvkpISv7Hjx48rLCxMcXFxtZojISEh6JI0AAC4dLiCVUWXLl106NAhHT16tHIsLy9PV155paKjo22sDAAAOAUBq4rExER169ZN8%2BbNU1lZmfbv36/Fixdr5MiRdpcGAAAcImLGjBkz7C4i2PziF7/Q2rVrNWfOHK1bt06pqal68MEHa/0crB9bdHS0fv7zn4f0FbVQ7zHU%2B5PoMRSEen8SPYaCYO0vzDr3DG4AAAAYwS1CAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWA5y8OBBjR49WklJSerfv7%2Beeuopeb1eu8sKSGFhoTIyMpSUlKQbbrhBjzzyiEpLSyVJ%2Bfn5uvvuu3X99ddr0KBBevnll22uNjCzZs1Sx44dKz//y1/%2BojvvvFPXXXedbrvtNr3zzjs2VheYhQsXqnfv3rr22mt133336eDBg5JCp8c9e/YoPT1dPXr00I033qisrKzKPwjv1B63bNmi5ORkTZgwodq2VatWaciQIerevbuGDx%2BuzZs3V27z%2BXyaN2%2BeBgwYoJ49e%2BrBBx/UN998cylLr5UL9bdu3ToNHTpU3bt318CBA5WTk%2BO3fcmSJRo8eLCuv/56jRw5Up999tmlKrtOLtTjOeXl5erbt68mT55cOeaUcyhduMfvvvtOY8aM0bXXXqvk5GTNmzevck0Mih4tOEZqaqo1ZcoUq7S01Pr666%2BtQYMGWS%2B//LLgJP68AAAKdUlEQVTdZQVk6NCh1uTJk62ysjKruLjYGjFihPXYY49ZFRUVVu/eva0FCxZY5eXlVn5%2BvpWUlGStXbvW7pLr5fPPP7d69uxpdejQwbIsyyoqKrKuueYaa9myZdbJkyetjz76yOrWrZu1a9cumyutu//6r/%2ByBg0aZH355ZdWaWmp9Yc//MH6wx/%2BEDI9ejwe68Ybb7Sefvppq6Kiwjp8%2BLB17733WuPGjXNsjy%2B99JI1aNAg61e/%2BpU1fvx4v235%2BflWly5drI0bN1onT560Vq5caXXr1s06dOiQZVmWtWTJEqt///7Wl19%2BaZWVlVkzZ860br/9dsvn89nRSo0u1N9nn31mde3a1Xr//fctj8djbdmyxbr66qutjz/%2B2LIsy3r//fetHj16WJ9%2B%2BqlVUVFhLVq0yEpOTrbKysrsaOW8LtTjD82ePdu67rrrrEmTJlWOOeEcWtaFe/T5fNadd95pPf7449aJEyesL7/80hoxYoT10UcfWZYVHD1yBcsh8vLytG/fPmVlZSkmJkbt2rXT/fffr2XLltldWr2VlpYqMTFREydOVHR0tFq0aKHU1FRt375dGzdulMfj0ZgxYxQVFaXExET98pe/dGS/Pp9P06dP17333ls5tmrVKl1xxRW68847FRkZqV69emnAgAHKzc21sdL6eeWVVzRhwgS1b99eMTExmjp1qqZOnRoyPRYXF8vtdmv48OFq3LixfvKTn2jw4MHas2ePY3uMjIxUbm6u2rVrV21bbm6u%2Bvbtq759%2ByoyMlK33367OnXqpJUrV0qSli1bpvvuu0/t27dXdHS0xo8fr6%2B%2B%2Bkq7du261G2c14X6Kykp0W9%2B8xvddNNNioiIUO/evdWhQwdt375d0tn%2Bhg8frmuuuUaNGzfWgw8%2BqPDwcG3cuPESd3FhF%2BrxnL1792rlypW64447/MadcA6lC/f48ccf68CBA5o8ebKaNm2q9u3bKzc3V7169ZIUHD0SsBwiPz9fbdq0UbNmzSrHEhMT9dVXX6msrMzGyuovNjZWs2fP1uWXX145dujQISUkJCg/P18dO3ZURERE5bbOnTtr9%2B7ddpQakKVLl6pRo0YaNmxY5Vh%2Bfr4SExP99nNif999950KCgpUVlamW2%2B9VUlJScrMzNTRo0dDpseWLVuqc%2BfOWrp0qcrLy3XkyBG999576tevn2N7TE9PV0xMTI3bztdTXl6eTp48qS%2B//NJve3R0tH72s58pLy/vR625Li7UX58%2BfZSRkVH5ucfjkdvtVsuWLSVV7z8sLEydOnUKqv6kC/coSZZlacaMGZowYYLfuuGUcyhduMcdO3aoY8eOevbZZ5WUlKQBAwZoyZIlkoKnRwKWQxw7dkyxsbF%2BY%2Bd%2BaEpKSuwoybi8vDy98cYbGjNmTI39Nm/eXMeOHZPP57Opwro7fPiwFixYoOnTp/uNn68/p53LoqIiSdLatWu1ePFiLV%2B%2BXMXFxZo2bVrI9BgeHq758%2Bfrww8/1HXXXafk5GR5PB5NnDgxZHr8oWPHjvktyNLZ3zUlJSU6fvy4LMs673Ynmjt3rqKionTrrbdKunD/TpKTk6OwsDCNGDHCbzxUzmFRUZF27dql%2BPh4bdy4UdOnT9czzzyjDz74IGh6JGA5mGVZks7%2BD8vpduzYoQcffFATJ05UcnJyjftYluW4XmfPnq0RI0boqquuuui%2BTuzv3PfgqFGj1LJlS7Vq1Upjx47VBx98cN79ndbj6dOnNWbMGA0ePFjbt2/X5s2bFRsbq6ysrBr3d2KPtXGhnpzYs2VZ%2BuMf/6hVq1Zp4cKFioyMvOC%2BTurvyJEjmj9/vmbMmFHrup3Wo2VZiouL06hRo9SkSRP16dNHAwcO1Jo1ay54zKXskYDlEPHx8dWS9/HjxxUWFqa4uDibqjLjww8/1K9//Ws99thjSk9Pl3T%2Bfps3b67wcGd8227btk2ffPKJ3%2B2Ic%2BLi4nTs2DG/sWPHjjnuXJ67vfvDqzitW7eWz%2BfTmTNnQqLHbdu2qaCgQP/%2B7/%2BumJgYtWzZUpmZmXr//fcVHh4eEj3%2BUFxcXLWfvXM9nfv5q%2BlnMz4%2B/lKWGRCfz6fJkydrw4YNevPNN/Uv//Ivldtq6v/48eOOOqdz5szRsGHD/F61fE6onMMWLVpUu33YunVrud3uoOnRGSsV1KVLFx06dKjypeHS2VtqV155paKjo22sLDA7d%2B7UI488oueee06pqamV4126dNG%2Bffvk8Xgqx/Ly8nTNNdfYUWa9rFixQkeOHFG/fv2UlJSk4cOHS5KSkpLUoUOHas/T2b17t6P6k6RWrVopPj5ee/bsqRwrLCzUZZddpr59%2B4ZEj16vVz6fr/JqnaTK78vk5OSQ6PGHunTpUq2ncz97kZGRuuqqq5Sfn1%2B5rbS0VAcOHFC3bt0udan1NmvWLH3xxRd688031bZtW79tXbp08evP6/Xq888/d9Q5XbFihXJzc5WUlKSkpCS9/PLLWr16tZKSkkLmHHbu3FkHDx5UeXl55VhhYaHatGkTND0SsBwiMTFR3bp107x581RWVqb9%2B/dr8eLFGjlypN2l1ZvH49GUKVOUlZWl3r17%2B23r27evmjZtqoULF6qiokK7du1Sbm6uo/qdPHmy3nvvPS1fvlzLly/XSy%2B9JElavny5hgwZosLCQi1btkynTp3Spk2btGnTJt111102V103LpdLaWlpeuGFF/TNN9/oyJEjev755zVkyBDdcccdIdFj9%2B7dFRUVpQULFqiiokIlJSV64YUX1LNnTw0bNiwkevyhu%2B66Sx999JE2btyoU6dOKTc3V19//bWGDh0qSRo5cqRee%2B017d%2B/X2VlZZo7d646d%2B6srl272lx57ezYsUMrVqzQSy%2B9pObNm1fbPnLkSL3zzjv69NNPVVFRoYULF6pRo0bq16/fpS%2B2njZt2qSVK1dW/u751a9%2BpZSUFC1fvlyS88%2BhJPXv31/x8fF6%2Bumn9f3332vbtm1av3595X9kg6HHMOuH/y1DUCsqKtKMGTO0c%2BdOxcTEKDU1VWPHjnXUffMf2r59u/7t3/5NjRo1qrbt3XffVXl5uZ544gl9/vnnatGihdLT0/Wv//qvNlRqRkFBgQYMGKB9%2B/ZJOvsy46efflr79%2B/XT3/6U40dO1aDBg2yucq6O336tGbPnq3Vq1frzJkzGjx4sKZOnaro6OiQ6XH37t166qmntHfvXjVq1Eg///nPNXnyZLVs2dKRPZ5bZM5diXO5XJJU%2BQqrdevWKTs7WwUFBbryyiv18MMPq2fPnpLOPo8lOztbf/7zn1VeXq7u3btrxowZatWqlQ2d1OxC/T322GP685//XDl2Ts%2BePfXKK69Ikv77v/9br732mtxut66%2B%2BmpNmTJFHTp0uIQdXNzFzuEPLViwQIWFhZozZ44kZ5xD6eI9fvHFF5o2bZry8/MVHx%2Bv3/3ud5VvSREMPRKwAAAADOMWIQAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAY9v%2B6MeZPJZcC7gAAAABJRU5ErkJggg%3D%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common6983313390056868834\">\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\">155</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">49</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">56</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">55</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">54</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">53</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">52</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">51</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">50</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">48</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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 (145)</td>\n",
       "        <td class=\"number\">145</td>\n",
       "        <td class=\"number\">93.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme6983313390056868834\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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\">151</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">152</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">153</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">154</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">155</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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_Happiness.Score\">Happiness.Score<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>151</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>97.4%</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>5.354</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>2.693</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>7.537</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=\"minihistogram7638575822600956390\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAAS9JREFUeJzt3MEJwjAYgNEqjuQQ7uTZnRzCnepZkI9WKJbmvbuQy8ffhJjTPM/zBHx1/vcCYM8u/14An6735%2BrfvB63DVbCNJkgkAQCQSAQBALBJv0A1m7sbeqXM0EgCASCQCAIBIJAIAgEgmPeFRynjscEgSAQCAKBIBAIAoEgEAgnjzYs98vfYY9i1CNrEwSCQCAIBIKrJiwy6nNEwwYy8oab5XxiQRh2grC9I3yWmSAQDjFB7CfYigkCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQdnfd3dV19sQEgSAQCAKB4G1eCCYIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIhDcVHSLNFGOX4AAAAABJRU5ErkJggg%3D%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives7638575822600956390,#minihistogram7638575822600956390\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives7638575822600956390\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles7638575822600956390\"\n",
       "                                                  aria-controls=\"quantiles7638575822600956390\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram7638575822600956390\" aria-controls=\"histogram7638575822600956390\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common7638575822600956390\" aria-controls=\"common7638575822600956390\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme7638575822600956390\" aria-controls=\"extreme7638575822600956390\"\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=\"quantiles7638575822600956390\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>2.693</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>3.5736</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>4.5055</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>5.279</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>6.1015</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>7.293</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>7.537</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>4.844</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>1.596</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>1.1312</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.21129</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-0.75042</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>5.354</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.93393</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>0.0095538</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>829.87</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>1.2797</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>1.3 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=\"histogram7638575822600956390\">\n",
       "            <img 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LKKxERsWnTppg9e3b8/ve/j7//%2B78/JJ%2B3b9%2B%2BsXr16lbfv7Ky8oDLmblc19i2bXfq0dpMSUlxlJZ2ibq6PdHQ0Jj1OAXNXkP71V6/jvu6cXBZRXFeBdadd94Zt956a4wZMyZOPfXUiHjvVzfMnz8/brzxxiSBtWTJkigrK4vRo0c3r61fvz6OOeaYVh%2BjoqLigMuBtbU7o74%2B/5/0DQ2NBfE48oG9hvanvf%2Bb9HWj/cirwPrtb38bo0aNioiIoqKi5vUhQ4bEhg0bknyOPXv2xLx586JPnz7Rr1%2B/%2BNnPfhbPPfdcLFmyJMnxAYDCl1eBVV5eHlu3bo2ePXu2WH/jjTeic%2BfOrT7OKaecEhER9fX1ERHx5JNPRsR773U4fvz42LVrV1RXV8e2bdvi%2BOOPjzvuuCNOPvnkRI8CACh0eRVYQ4cOjW9961sxc%2BbMiIjYvn17rF69Om6%2B%2BeYYMWJEq49TU1Nz0NuKioqiqqoqqqqqPu64AEAHlVc/zzlz5szYs2dPfPazn429e/fGGWecEV/72teiT58%2BcdVVV2U9HgBAROTZGawePXrE/fffH%2BvWrYvXX389OnfuHMcff3wcf/zxWY8GANAsrwLrff3794/%2B/ftnPQYAwAfKq8Dq379/i58e3N/atWvbcBoAgA%2BWV4E1e/bsFoHV0NAQb7zxRjz77LMxceLEDCcDAPiTvAqsSy%2B99APXf/nLX8bixYvj85//fBtPBEBHMua2F7Ie4c%2BybPJZWY/QYeXVTxEezOmnnx7PPPNM1mMAAEREgQTWypUrI5fLq5NxAEABy6sqGTZs2AFre/fujV27dh308iEAQFvLq8CqrKw84KcIDz/88DjhhBNi5MiRGU0FANBSXgXWpEmTsh4BAOAj5VVgLVy4sFX3e//9BAEAspBXgfXv//7vsWXLlti7d2906dIlcrlc7Ny5Mzp37hzdu3dvcV%2BBBQBkJa8Ca%2BrUqfHUU0/F9OnTo3fv3hER8dZbb8Utt9wSY8aMiTFjxmQ8IQBAngXWvHnzYsmSJVFWVta8dswxx8R1110XlZWVAgsAaBfy6vdg/e53v4uSkpID1g877LDYsmVLBhMBABwor85gffKTn4yZM2fGFVdcEcccc0wUFxfHhg0b4vbbb49%2B/fplPR4FJt/eEgOA9iOvAuv666%2BPqVOnxoUXXtj8%2B7Campri6KOPjjvuuCPj6QAA3pNXgTVgwIBYtmxZrF69On73u99FU1NT9O7dOwYOHBjFxXl1tRMAKGB5FVjvKysri507d8YZZ5yR9SgAAAfIq9M%2BW7dujcsvvzw%2B85nPxIQJEyIiora2Nj73uc/Fpk2bMp4OAOA9eRVYN910UzQ2NsbDDz/cfEnwiCOOiAEDBsRNN92U8XQAAO/Jq0uEzz77bDz66KPRq1ev5he5d%2B7cOa6%2B%2Buo4//zzM54OAOA9eXUG6913342KiooD1jt37hy7du3KYCIAgAPlVWCdcMIJsWLFigPWFy9eHMcff3wGEwEAHCivLhF%2B9atfjenTp8eyZcuioaEhrr/%2B%2BlizZk28%2Buqrcdttt2U9HgBAROTZGazzzjsv7rzzzqivr4%2B//Mu/jJdffjn69OkTDz30UIwaNSrr8QAAIiLPzmDV1NTEGWec4fdfAQDtWl4F1vjx42PVqlUf%2BIbPAEBL%2BfSeqssmn5X1CEnl1SXCz372s3HfffdFU1NT1qMAABxUXp3B2rJlS6xcuTLuvvvuOProo6NTp04tbn/ooYcymgwA4E/yKrDKy8vjnHPOyXoMAIAPlReBVV1dHfPnz4%2B5c%2Bc2r82fPz%2Bqq6sznAoA4IPlxWuwnnnmmQPW/vVf/zWDSQAAPlpeBNYH8UJ3AKC9ytvAev/NngEA2pu8DSwAgPZKYAEAJJYXP0X47rvvxtSpUz9y7dvf/nZbjgUA8IHyIrAGDRoUmzdv/sg12rd8essGAPg48iKw7r///qxHAABoNa/BAgBITGABACQmsAAAEhNYAACJCSwAgMQ6bGA999xzceaZZ8aUKVMOuO0nP/lJnH/%2B%2BfE3f/M38YUvfCGeffbZDCYEAPJVXvyahtTuvvvuWLp0aRx77LEH3PY///M/cfXVV8fChQtj6NCh8bOf/SwmTZoUy5cvj0984hMZTAsA5JsOeQbr8MMPP2hgLV26NM4555w455xz4vDDD4/Pfe5z0b9//3j88cczmBQAyEcd8gzW%2BPHjD3rbmjVr4pxzzmmxdtJJJ0VNTU2rj7958%2Baora1tsZbLdY2Kioo/b9B2pKSkuMWfAJBSLldY3186ZGB9mO3bt0dZWVmLtbKysvj1r3/d6mMsXrw4Fi5c2GKtqqoqqqurk8yYpdLSLlmPAEABKi/vlvUISQmsVioqKmr1fSsrK2PkyJEt1nK5rrFt2%2B7UY7WZkpLiKC3tEnV1e6KhoTHrcQAoMIfqe2RW4Saw9lNeXh7btm1rsbZ9%2B/YoLy9v9TEqKioOuBxYW7sz6uvzP0waGhoL4nEA0L4U2veWwrrgmcDAgQNj9erVLdZqamriU5/6VEYTAQD5RmDt5%2BKLL47//M//jKeffjr27t0bS5cujTfffDMuuOCCrEcDAPJEh7xEeMopp0RERH19fUREPPnkkxHx3pmqv/qrv4pbb701vvOd78SGDRvixBNPjDvvvDN69uyZ2bwAQH7pkIH1Ub9yYdSoUTFq1Kg2mgYAKDQuEQIAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiuawHaI/OPffcqK2tjaKioua1iy%2B%2BOGbNmpXhVABAvhBYH6Curi5%2B8IMfxGmnnZb1KABAHnKJcD8NDQ2xe/fuKCsry3oUACBPOYO1n7q6umhqaooFCxbESy%2B9FE1NTTFy5MiYMWNGdOvWLevxAIA8ILD2s2/fvjj55JPjtNNOi7lz58bGjRtjypQpcd1118Utt9zSqmNs3rw5amtrW6zlcl2joqLiUIzcJkpKilv8CQAp5XKF9f2lqKmpqSnrIdq7Z555JiZOnBivvPJKdOrU6SPvv2DBgli4cGGLtaqqqqiurj5UI%2BaFwd9anvUIALRTq%2Bacl/UISTmD1Qp9%2B/aNhoaGeOedd%2BITn/jER96/srIyRo4c2WItl%2Bsa27btPlQjHnIlJcVRWtol6ur2RENDY9bjAFBgDtX3yPLybF7eI7D2s27dunj88cdj%2BvTpzWvr16%2BPTp06tfoSX0VFxQH3ra3dGfX1%2BR8mDQ2NBfE4AGhfCu17i8DaT3l5eTz44INRXl4e48ePj40bN8aCBQvikksuiZKSkqzHAwDyQGG9oiyBXr16xV133RUrVqyIIUOGxOWXXx7Dhw9vcUYLAODDOIP1AU4//fRYsmRJ1mMAAHnKGSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACQmsAAAEhNYAACJCSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACQmsAAAEhNYAACJCSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACQmsAAAEhNYAACJCSwAgMQEFgBAYgILACCxXNYD8PGMue2FrEcAAPbjDBYAQGICCwAgMYEFAJCYwAIASExgAQAkJrAAABITWAAAiQksAIDEBBYAQGICCwAgMYEFAJCYwAIASExgAQAkJrAAABITWAAAiQksAIDEBBYAQGICCwAgMYH1Ad56662YMGFCDBkyJM4999y4%2Beabo6GhIeuxAIA8IbA%2BQHV1dfTu3TuefPLJuO%2B%2B%2B2LlypVx3333ZT0WAJAnBNZ%2Bampq4rXXXotp06bFEUccEccee2x85StfiYcffjjr0QCAPJHLeoD2Zs2aNdGnT58oKytrXhswYEC88cYbsWvXrujevftHHmPz5s1RW1vbYi2X6xoVFRXJ5wWAQpDLFdY5H4G1n%2B3bt0dpaWmLtfdja9u2ba0KrMWLF8fChQtbrF155ZUxadKkdIP%2B0ao55yU/5gfZvHlzLF68OCorK4XiIWav24Z9bhv2uW3Y5/ansHLxEGlqaoqIiKKiolbdv7KyMh555JEWH5WVlYdyxEOutrY2Fi5ceMCZOdKz123DPrcN%2B9w27HP74wzWfo488sjYtm1bi7UdO3ZEUVFRlJeXt%2BoYFRUV/gcBAB2YM1j7GThwYLz99tuxdevW5rWampo48cQTo1u3bhlOBgDkC4G1nwEDBsSpp54a3/72t2PXrl2xfv36uPfee%2BPSSy/NejQAIE%2BUXHfddddlPUR7M3z48Fi2bFncdNNNsWLFihg3blxcfvnlrX4NVqHq1q1b/O3f/q0zeW3AXrcN%2B9w27HPbsM/tS1HT%2B6/gBgAgCZcIAQASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1h8pHXr1sVll10WgwYNijPPPDMmT54ctbW1WY9V0G688cbo169f1mMUpHPPPTcGDhwYp5xySvPH9ddfn/VYBWvRokUxbNiw%2BOu//uv48pe/HG%2B99VbWIxWU//qv/2rxXH7/o1%2B/frFx48asx%2BvQvFUOH2rfvn0xYsSI%2BOIXvxgTJkyIurq6%2BMY3vhE9evSI22%2B/PevxCtLatWvjsssuix07dsRrr72W9TgFZ9CgQXH33XfHaaedlvUoBe%2BBBx6IH/zgB3HHHXdERUVF3HbbbRERMWvWrIwnK2w/%2BtGP4rHHHosHH3yww7%2BHbpZyWQ9A%2B7Znz56YMmVKfP7zn49cLhdHHXVUjB49On74wx9mPVpBamxsjNmzZ8dll10W8%2BfPz3qcgtPQ0BC7d%2B%2BOsrKyrEfpEL7//e/H9OnT44QTTogIYdUWtmzZEvPmzYv77rtPXGXMJUI%2BVFlZWVx00UWRy73X4r/5zW/ixz/%2BcYwdOzbjyQrTQw89FJ06dYq/%2B7u/y3qUglRXVxdNTU2xYMGCOPvss2P48OExe/bs2L17d9ajFZz/%2B7//iw0bNsSuXbti7NixMWTIkKiuro6tW7dmPVpBmz9/fowaNSr69%2B%2Bf9SgdnsCiVTZu3BgDBw6M0aNHx6mnnhrV1dVZj1RwtmzZEgsWLIjZs2dnPUrB2rdvX5x88slx2mmnxU9/%2BtO4995746WXXorrrrsu69EKzqZNmyIiYtmyZXHvvffGo48%2BGps3b45rr70248kK16ZNm%2BKxxx6LCRMmZD0KIbBopT59%2BkRNTU0sX748Xn/99Zg%2BfXrWIxWcuXPnxoUXXhif/OQnsx6lYPXq1SseeeSRGD9%2BfHTp0iVOPPHEmDZtWjzxxBOxb9%2B%2BrMcrKO%2B/vPdrX/ta9OrVK3r37h1XXnllPPXUU7F3796MpytMP/zhD%2BPss8%2BOY445JutRCIHFn6GoqCiOO%2B64mDJlSvzkJz9xqj%2BhX/ziF/Hyyy9HVVVV1qN0OH379o2GhoZ45513sh6loBx11FEREVFaWtq8dvTRR0djY6O9PkSWLVsWn/70p7Megz8SWHyoF154IUaPHh2NjY3Na8XF7z1t3n9dFh/fY489Fu%2B8806MGDEihgwZEl/4whciImLIkCHxxBNPZDxd4Vi3bl3ccsstLdbWr18fnTp1ioqKioymKky9e/eOI488MtauXdu8tnHjxjjssMPs9SGwbt262LBhQ5x99tlZj8If%2BQ7Jhxo4cGDU1dXFrbfeGpMmTYo9e/bEggULYvDgwS3%2BZ8rHc9VVV8U3vvGN5r9v2rQpKisr49FHH/UTbwmVl5fHgw8%2BGOXl5TF%2B/PjYuHFjLFiwIC655JIoKSnJeryCksvlorKyMr73ve/F6aefHt27d4/bb789zj//fP85OwTWrFkTpaWl0aNHj6xH4Y88y/lQZWVlce%2B998acOXNi6NCh0bVr1xg6dGjMmTMn69EKSllZWYuQqq%2Bvj4j3zgKQTq9eveKuu%2B6KW265JW6//fYoLy%2BP8847LyZPnpz1aAXpiiuuiB07dsRFF10U7777bowePTquueaarMcqSFu2bHFmsJ3xi0YBABLzGiwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACQmsAAAEhNYAACJCSwAgMQEFgBAYgILACBChum%2BAAAAEUlEQVQxgQUAkJjAAgBI7P8BaQH9RzyK%2BaEAAAAASUVORK5CYII%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common7638575822600956390\">\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\">5.07399988174438</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">1.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">6.4539999961853</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">1.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">7.28399991989136</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">1.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5.837999820709231</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">1.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">6.10500001907349</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4.53499984741211</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2.69300007820129</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">6.40299987792969</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5.47200012207031</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5.1810002326965305</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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 (141)</td>\n",
       "        <td class=\"number\">141</td>\n",
       "        <td class=\"number\">91.0%</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=\"extreme7638575822600956390\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">2.69300007820129</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2.90499997138977</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3.34899997711182</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3.46199989318848</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3.47099995613098</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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\">7.468999862670901</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">7.49399995803833</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">7.50400018692017</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">7.52199983596802</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">7.537000179290769</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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_Health..Life.Expectancy.\">Health..Life.Expectancy.<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>155</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>0.55134</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>0.94949</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.6%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-840670443321647632\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAAnRJREFUeJzt3D9rWlEcxvEn4mi2aJAgbplECBQcQiaXIrgFBF%2BBg4I42rlu4qCvIZAtY0dxydLBKaNj8M9isjndboWCfUharh71%2B9nkBs4Z/Obn9Vw8i6IoEoCtEvveABCy5L43gP/35duPT/39z%2B9fY9rJ8WGCAAaBAAaBAAaBAAaBAAaBAAaBAAaBAAaBAAYn6fiQz57WS8dxYs8EAQwCAQwCAQwCAQwCAQwCAQwCAQzOQU7Qv5xpnComCGAQCGAQCGBwDxIY7g/CwgQBDAIBDAIBDAIBDAIBDL7F%2BgR%2BA/f0MEEAg0AAg0AA42TvQTixxkcwQQDjZCfILjClDh8TBDCOYoLwnxpxCS4Q3uwICR%2BxACO4CYLjcQw/eM0EAQwCAQwCAQwCAQwCAQwCAQwCAYyzKIqifW8CcJbLpR4fH1Wr1ZTJZHa6NhMEwVutVhqNRlqtVjtfm0AAg0AAg0AAg0AQvHQ6rWazqXQ6vfO1%2BRYLMJgggEEggEEggEEggEEggEEggEEggEEgCM77%2B7va7bZub2%2B3Xp9MJrq/v1e9Xlej0dDb21tseyEQBKfT6ahUKm29ttls1O121e/39fDwoEKhoOFwGNteCATBGQwGuru723ptOp0ql8spn89LkiqVisbjcWx7IRAE5/z8/K/XlsvlH89kXV5earFYxLYXAsHBi/NxQgLBQclms5rP579fz%2BdzXV1dxbYegeCgFItFvb6%2BajabSZKenp5ULpdjW4/H3RGU9XqtVqulzWajl5cX3dzc6Pr6WolEQtVqVcViUc/PzxoMBkomk7q4uFCv11MqlYplPwQCGHzEAgwCAQwCAYxfgXaD2q3E9AgAAAAASUVORK5CYII%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-840670443321647632,#minihistogram-840670443321647632\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-840670443321647632\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-840670443321647632\"\n",
       "                                                  aria-controls=\"quantiles-840670443321647632\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-840670443321647632\" aria-controls=\"histogram-840670443321647632\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-840670443321647632\" aria-controls=\"common-840670443321647632\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-840670443321647632\" aria-controls=\"extreme-840670443321647632\"\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-840670443321647632\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>0.11179</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>0.36987</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>0.60604</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>0.72301</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>0.84483</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>0.94949</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>0.94949</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>0.35314</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>0.23707</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.42999</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-0.58555</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>0.55134</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.19472</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>-0.57797</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>85.458</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>0.056203</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>1.3 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-840670443321647632\">\n",
       "            <img 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klRWVqYf//jH6t%2B/v4YNG6aVK1ca/T4AAEDrZquC9e677%2Bqxxx5TfHx841qXLl00a9Ysvf32283a66c//aliYmK0adMmvfzyy/rwww%2B1YMECHT16VA888IAGDhyoLVu2aPHixVq5cqXWrVtn%2BtsBAACtlK0Kls/n0/HjxwPWa2trVV9fH/Q%2BHo9HSUlJys3NVXR0tOLj45Wenq4dO3bojTfekNfr1YQJExQVFaWkpCTdfvvtKiwsNPmtAACAVsxWBevGG2/UtGnTVF5ertraWnk8Hr3zzjvKzc3V0KFDg94nJiZG8%2BfPV5cuXRrXDh48KJfLpbKyMvXq1UuRkZGNt/Xu3Vu7du0y%2Ba0AAIBWzFavIvzZz36mrKwspaeny%2BFwNK6npKRo9uzZ57xvaWmpnnvuOS1btkzFxcWKiYnxu71Tp06qqalRQ0ODIiLO3kkrKyvldrv91pzOKLlcrnPO2JTIyAi/j2hZzDu0mDdw/pxOHj9WsVXB%2BtrXvqYXXnhB5eXlOnDggCIjI3XZZZfpiiuuOOc93377bU2YMEG5ubkaPHiwiouLA47x%2BXx%2Bhe5sCgoKlJ%2Bf77eWlZWl7Ozsc875v8TEtG%2BRfdE05h1azBs4d3Fx0VZHCFu2KlinJCYmKjEx8bz3%2Bdvf/qbJkydr5syZSk9Pl3Ty9xx%2B9NFHfscdOnRInTp1CurslSRlZGQoNTXVb83pjFJ19ZHzzvxVkZERiolpL4%2BnTvX1DUb3RiDmHVrMGzh/pn/u2JFVJdNWBau0tFTz5s3T%2B%2B%2B/r6NHjwbcvnv37qD3eueddzR16lQtWbJEN9xwQ%2BN637599fzzz8vr9Ta%2BmWlpaamSk5OD3tvlcgVcDnS7D8vrbZkfEvX1DS22NwIx79Bi3sC547FjHVsVrJkzZyoqKkoPPvigoqKiznkfr9erGTNmaPLkyX7lSpKGDBmiDh06aNmyZbr33nv1/vvvq6ioSE888cT5xgcAAGHCVgXro48%2B0tatWwN%2BNU5zlZSUaN%2B%2BfZo3b57mzZvnd9u6dev09NNPa%2B7cuVq9erXi4%2BOVk5PTrFcpAgCA8GargtW9e3cj%2B6SkpGjPnj3/85hnn33WyNcCAADhx1av38zJydFjjz2m2tpaq6MAAACcka3OYC1btkyffvqp1q5d2%2BSr%2BrZu3WpRMgAAgC/ZqmCd/tYHAAAAFyJbFayJEydaHQEAAOCsbPUcLOnk%2B1dNmzZNd911lySpoaFBr732msWpAAAAvmSrgvXqq6/qrrvu0qFDh1RSUiJJ%2BuyzzzR79mwVFRVZnA4AAOAkWxWsZ555RgsXLtTTTz/d%2BLsBu3fvrry8PP3ud7%2BzOB0AAMBJtipYH3/8sYYNGyZJfr98ecCAAfr000%2BtigUAAODHVgUrLi5OVVVVAev79%2B9Xu3btLEgEAAAQyFYFa%2BDAgXrkkUe0b98%2BSVJNTY22bt2qSZMm8atsAADABcNWBWvatGmqq6vTrbfeqmPHjmnQoEG69957lZCQoIcfftjqeAAAAJJs9j5YnTp10rPPPqvy8nJ9%2BOGHateunXr27KmePXtaHQ0AAKCRrQrWKYmJiUpMTLQ6BoAwMXzxNqsjALAZWxWsxMREv1cPnm737t0hTAMAANA0WxWs2bNn%2BxWs%2Bvp67d%2B/X2%2B%2B%2BaYmTJhgYTIAAIAv2apgjR49usn1f/7znyooKNBtt90W4kQAAACBbPUqwjO59tprtXnzZqtjAAAASGolBWvTpk1yOm11Mg4AALRitmolN9xwQ8DasWPHVFtbe8bLhwAAAKFmq4KVkZER8CrCtm3b6vLLL1dqaqpFqQAAAPzZqmA9%2BOCDVkcAAAA4K1sVrPz8/KCOczgcysrKauE0AAAATbNVwfrTn/6kzz//XMeOHVP79u3ldDp1%2BPBhtWvXTh06dPA7loIFAACsYquClZubq9dff11TpkxRt27dJEmffPKJnnjiCQ0fPlzDhw%2B3OCEAAIDNCtaSJUu0Zs0axcbGNq5deumlmjNnjjIyMihYAADggmCr98H697//rcjIyID1iy66SJ9//rkFiQAAAALZqmBdeeWVmjZtmsrKyuTxeFRbW6vy8nL97Gc/U69evayOBwAAIMlmlwjnzp2r3Nxc/eAHP2h8Pyyfz6fu3bvrqaeesjgdAADASbYqWElJSSouLtauXbv073//Wz6fT926dVPfvn0VEWGrk3EAAKAVs1XBOiU2NlaHDx/WoEGDrI4CAAAQwFanfaqqqjRu3Dh95zvf0X333SdJcrvd%2Bu53v6vPPvvM4nQAAAAn2apgPf7442poaFBhYWHjJcGOHTsqKSlJjz/%2BuMXpAAAATrLVJcI333xTf/7zn9W1a9fGJ7m3a9dO06dP18iRIy1OBwAAcJKtzmCdOHFCLpcrYL1du3aqra21IBEAAEAgWxWsyy%2B/XOvXrw9YLygoUM%2BePZu115YtWzR48GDl5OT4rb/11lvq1auXrrrqKr8/O3fuPK/sAAAgfNjqEuHYsWM1ZcoUFRcXq76%2BXnPnzlVZWZl27typxYsXB73PihUrVFRUpB49egTcdvjwYV122WX661//ajI6AAAII7Y6g3XLLbfomWeekdfr1de//nW9%2B%2B67SkhI0AsvvKBhw4YFvU/btm3PWLAOHTrk97sOAQAAmstWZ7BKS0s1aNCg837/qzFjxpzxNo/Ho0OHDumuu%2B5SeXm5unXrpvvuu0%2BjRo06r68JAADCh60K1pgxY7Rjx44mf%2BGzKVFRUerataseeugh9e7dW%2BvXr9fDDz%2Bs%2BPj4oItdZWWl3G6335rTGdXkE/TPR2RkhN9HtCzmHVrMGzh/TiePH6vYqmDdeuutWr16tcaOHdv4Ng2mZWZmKjMzs/HzkSNHauPGjXrppZeCLlgFBQXKz8/3W8vKylJ2drbRrKfExLRvkX3RNOYdWswbOHdxcdFWRwhbtipYn3/%2BuTZt2qQVK1aoe/fuatOmjd/tL7zwQot83UsuuUS7du0K%2BviMjAylpqb6rTmdUaquPmI0V2RkhGJi2svjqVN9fYPRvRGIeYcW8wbOn%2BmfO3ZkVcm0VcGKi4vTkCFDWvRrrFmzRrGxsUpLS2tc27dvny699NKg93C5XAGXA93uw/J6W%2BaHRH19Q4vtjUDMO7SYN3DueOxYxxYFKzs7W3l5eZo/f37jWl5eXotccqurq9OSJUuUkJCgXr16acOGDdqyZYvWrFlj/GsBAIDWyRYFa/PmzQFrv/nNb865YF111VWSJK/XK0nauHGjpJOvUhwzZoxqa2uVnZ2t6upq9ezZU0899ZT69OlzjukBAEC4sUXBaorP5zvn/7a0tPSMtzkcDmVlZSkrK%2Buc9wcAAOHNtq/fbKlXEQIAAJwv2xYsAACACxUFCwAAwDBbPAfrxIkTys3NPevaokWLQhkLuKAMX7zN6ghBK550vdURAKBF2aJg9e/fX5WVlWddAwAAuBDYomA9%2B%2ByzVkcAAAAIGs/BAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADHNaHQC4UA1fvM3qCAAAm%2BIMFgAAgGEULAAAAMMoWAAAAIZRsAAAAAwL24K1ZcsWDR48WDk5OQG3vfLKKxo5cqSuvvpqff/739ebb75pQUIAAGBXYfkqwhUrVqioqEg9evQIuO29997T9OnTlZ%2Bfr4EDB2rDhg168MEHtW7dOl188cUWpAUAAHYTlmew2rZte8aCVVRUpCFDhmjIkCFq27atvvvd7yoxMVEvv/yyBUkBAIAdheUZrDFjxpzxtrKyMg0ZMsRvrXfv3iotLQ16/8rKSrndbr81pzNKLpereUHPIjIywu8jYBdO59nvs9y/gfMXzGMNLSMsC9b/UlNTo9jYWL%2B12NhY7d27N%2Bg9CgoKlJ%2Bf77eWlZWl7OxsIxlPFxPTvkX2BVpKXFx00Mdy/wbOXXMeazCLghUkh8MR9LEZGRlKTU31W3M6o1RdfcRopsjICMXEtJfHU6f6%2BgajewMtKZjHAvdv4PyZ/rljR1aVTArWaeLi4lRdXe23VlNTo7i4uKD3cLlcAZcD3e7D8npb5odEfX1Di%2B0NtITm3F%2B5fwPnjseOdbg4e5q%2Bfftq165dfmulpaVKTk62KBEAALAbCtZp7rjjDv3973/XG2%2B8oWPHjqmoqEgfffSRRo0aZXU0AABgE2F5ifCqq66SJHm9XknSxo0bJZ08U/WNb3xDCxcu1JNPPqlPP/1UV1xxhZ555hnFx8dblhcAANhLWBass73lwrBhwzRs2LAQpQEAAK0NlwgBAAAMo2ABAAAYFpaXCAFYa/jibVZHAIAWxRksAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGG80ShChjeXBACEC85gAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAzjjUZtLuWRdVZHAAAAp%2BEMFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAw3mgUAIBWavjibVZHCFrxpOutjmAUZ7AAAAAMo2ABAAAYRsECAAAwjIIFAABgGE9yb8JNN90kt9sth8PRuHbHHXdo5syZFqYCAAB2QcFqgsfj0e9//3tdc801VkcBAAA2xCXC09TX1%2BvIkSOKjY21OgoAALApzmCdxuPxyOfzaenSpXrnnXfk8/mUmpqqqVOnKjo6Oqg9Kisr5Xa7/daczii5XC6jWSMj6ccAgNbB6WxdP9MoWKc5fvy4%2BvTpo2uuuUbz589XRUWFcnJyNGfOHD3xxBNB7VFQUKD8/Hy/taysLGVnZ7dEZAAAbC8uLriTGHbh8Pl8PqtDXOg2b96sCRMmqKSkRG3atDnr8aE8g5W6YLPRPQEAsMKGyTe2yL5WFTfOYAXhkksuUX19vf773//q4osvPuvxLpcroEy53Yfl9Ta0VEQAAGyttf2MbF0XPA0oLy8PuBS4b98%2BtWnTxvgZKAAA0DpxBus0cXFx%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%2B/aqtrVWHDh3OukdlZaXcbrffmtMZJZfLZTRrZCT9GADQOjidretnGgXrNDU1NYqJifFbO1W2qqurgypYBQUFys/P91ubOHGiHnzwQXNBdbLI3d3tA2VkZBgvbwhUWVmpgoIC5h0izDu0mHfoMOvw0LrqYgvx%2BXySJIfDEdTxGRkZeumll/z%2BZGRkGM/ldruVn58fcLYMLYN5hxbzDi3mHTrMOjxwBus0nTt3VnV1td/aoUOH5HA4FBcXF9QeLpeL/ysBACCMcQbrNH379tXBgwdVVVXVuFZaWqorrrhC0dHRFiYDAAB2QcE6TVJSkvr166dFixaptrZW%2B/bt06pVqzR69GirowEAAJuInDNnzhyrQ1xobrzxRhUXF%2Bvxxx/X%2BvXrlZ6ernHjxgX9HKxQio6O1nXXXcfZtRBh3qHFvEOLeYcOs279HL5Tz%2BAGAACAEVwiBAAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMgnWB%2B%2BSTT3TfffdpwIABuummm7QXdOAGAAAGaUlEQVRgwQLV19c3eezq1auVlpam/v37a/To0dq5c2eI09pfc%2Bb9/PPPKy0tTVdffbVGjhypjRs3hjit/TVn3qf85z//0dVXX62lS5eGKGXr0JxZ79u3T3fddZeSk5M1ZMgQrVq1KsRp7S/YeTc0NCgvL0%2BpqamN/5a89tprFiSGcT5c0NLT030zZszweTwe30cffeQbNmyYb%2BXKlQHHbdiwwZeSkuIrKSnx1dXV%2BVasWOEbPHiwr7a21oLU9tWceffv39%2B3Y8cO34kTJ3wvvfSSr0%2BfPr6PP/7YgtT2Fey8v2rixIm%2Ba665xpeXlxeilK1DsLOuq6vzDR061Pf000/7vvjiC19JSYlvxIgRvr1791qQ2r6Cnfcf/vAH3/XXX%2B97//33fSdOnPBt2LDBl5SU5Nu9e7cFqWESZ7AuYKWlpdqzZ48mT56sjh07qkePHrrnnntUWFgYcGxhYaG%2B//3vKzk5We3atdO4ceMUERGhN954I/TBbao58/7iiy/00EMPqX///nI6nbrtttsUHR2tkpISC5LbU3PmfcrmzZv1wQcfaOjQoaEL2go0Z9bFxcXq0KGDxo8fr/bt2ys5OVmvvvqqLr/8cguS21Nz5l1WVqaUlBRdeeWVcjqduvnmm9WpUyft2bPHguQwiYJ1ASsrK1NCQoJiY2Mb15KSkrR//37V1tYGHJuUlNT4ucPhUGJiokpLS0OW1%2B6aM%2B9Ro0bpRz/6UePnHo9HR44cUdeuXUOW1%2B6aM29JOnr0qH7xi19o9uzZuuiii0IZ1faaM%2Bu3335b3/jGNzR9%2BnSlpKTolltu0SuvvBLqyLbWnHkPHTpU//znP/Xee%2B/p%2BPHj2rhxo%2Brq6nTdddeFOjYMo2BdwGpqahQTE%2BO3duoBW11dHXDsVx/Mp449/TicWXPm/VU%2Bn08zZsxQcnIy/yg2Q3Pn/etf/1rf/OY3NWjQoJDka02aM%2BvPPvtMr7/%2BugYPHqytW7fqgQce0JQpU7R79%2B6Q5bW75sx72LBhysjI0G233aarrrpKubm5euyxx3TxxReHLC9ahtPqAGgen88n6eQZqmCODeY4nNnZ5n3ixAk9/PDD2rt3r37/%2B9%2BHMlqrdKZ57927V0VFRfrLX/5iRaxW6Uyz9vl86tOnj0aOHClJSk9P1wsvvKB169apd%2B/eIc/ZWpxp3mvXrtXatWtVWFioXr16afv27crNzVX37t3Vr18/K6LCEM5gXcA6d%2B4c8H87hw4dksPhUFxcnN96XFxck8eefhzOrDnzlk5esho/frwOHjyo5557Tl26dAlV1FahOfOeM2eOJk6cqPj4%2BFBGbDWaM%2Bv4%2BHh17NjRb6179%2B6qrKxs8ZytRXPm/Yc//EEZGRnq16%2Bf2rZtq6FDh2rgwIH8z0QrQMG6gPXt21cHDx5UVVVV41ppaamuuOIKRUdHBxxbVlbW%2BHl9fb3ee%2B89JScnhyyv3TVn3j6fTzk5OXI6nVq9ejVF9hwEO%2B%2BKigr961//Ul5engYMGKABAwbo1Vdf1cqVK3XbbbdZEd12mnPf7t27t95///3GMy7Syb%2BDhISEkOW1u%2BbMu6GhIeDtG872ViWwBwrWBSwpKUn9%2BvXTokWLVFtbq3379mnVqlUaPXq0JOmWW27Rjh07JEmjR4/W2rVrVVJSorq6Oi1btkxt2rTh1VbN0Jx5v/zyy9q7d6%2BWLFmitm3bWhnbtoKdd7du3bR582b9%2Bc9/bvyTmpqqzMxMLV%2B%2B3OLvwh6ac99OT09XTU2Nnn76aR09elSvvPKKysrKNGrUKCu/BVtpzrxTU1NVVFSk8vJyeb1ebdu2Tdu2bdO3v/1tK78FGMBzsC5weXl5mjNnjlJTU9WxY0elp6c3vnpt//79%2BuKLLyRJ3/rWt/TQQw/p4YcfltvtVp8%2BfbR8%2BXK1a9fOyvi2E%2By8X3zxRVVUVAQ8qf173/ue5s2bF/LcdhXMvCMjI9WtWze//659%2B/bq0KEDlwybIdj7dmxsrJYvX665c%2BfqqaeeUvfu3fXUU0/p61//upXxbSfYeY8fP15er1dZWVmqqqpSQkKC5s6dy4s5WgGH76vngQEAAHDeuEQIAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIb9Pz8scaHGV5Q%2BAAAAAElFTkSuQmCC\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-840670443321647632\">\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\">0.005564753897488121</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.821944236755371</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.315089583396912</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.6376056075096129</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.6060415506362921</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.805335938930511</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.83455765247345</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.132892116904259</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.557783484458923</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.695168316364288</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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 (145)</td>\n",
       "        <td class=\"number\">145</td>\n",
       "        <td class=\"number\">93.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-840670443321647632\">\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\">0.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.005564753897488121</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0187726859003305</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0411347150802612</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0486421696841717</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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\">0.888960599899292</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.900214076042175</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.9134758710861209</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.943062424659729</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.9494923949241642</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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_Trust..Government.Corruption.\">Trust..Government.Corruption.<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>155</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>0.12312</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>0.46431</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.6%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-7262717837844595363\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAATVJREFUeJzt3NFNwzAUQFGKGKlDsBPf7MQQ7OQuUF01FSFufM5/JP9c%2BSWycxljjDfgrvejFwAz%2Bzh6AX/h%2BvWz%2BZnf788dVsLZ2EEgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgTHcn/Zn75bCX6QL5L370wCOMWBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCYdmjJs/YejzF0ZTXZweBIBAIAoEgEAgCgSAQCD7znoDPz/sRyGTcyZ%2BLEQuCQCAYsXjIqn%2BBEciOVn%2BfOENURiwIdpAFrb6zbXEZY4yjFwGzMmJBEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAuAFz2SA7oT%2BbaQAAAABJRU5ErkJggg%3D%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-7262717837844595363,#minihistogram-7262717837844595363\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-7262717837844595363\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-7262717837844595363\"\n",
       "                                                  aria-controls=\"quantiles-7262717837844595363\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-7262717837844595363\" aria-controls=\"histogram-7262717837844595363\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-7262717837844595363\" aria-controls=\"common-7262717837844595363\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-7262717837844595363\" aria-controls=\"extreme-7262717837844595363\"\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-7262717837844595363\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>0.020717</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>0.057271</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>0.089848</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>0.1533</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>0.33724</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>0.46431</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>0.46431</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>0.096026</td>\n",
       "                    </tr>\n",
       "                </table>\n",
       "            </div>\n",
       "            <div class=\"col-md-4 col-md-offset-2\">\n",
       "                <p class=\"h4\">Descriptive statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Standard deviation</th>\n",
       "                        <td>0.10166</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.8257</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>1.6637</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>0.12312</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.076616</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>1.4764</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>19.084</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>0.010335</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>1.3 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-7262717837844595363\">\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzt3X10jHf%2B//HXJFM3QWKUUOy2Wq1IbbSUiFLELkXdtFSo3my1LE2lFKVdxW5V2mK3Ja2lurRdSyRtKW0ca7NCrT1bVdsk6P6othqtjCYRybppJvP7w1faESTDJ7lcmefjHMeZz1yueeWdmeM113Vl4vB6vV4BAADAmCCrAwAAANQ0FCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYJjT6gCBwu0%2BbnyfQUEONWpUT3l5xSot9RrfP86PuVuDuVuDuVuDuZvTpEkDSx6XI1g2FhTkkMPhUFCQw%2BooAYW5W4O5W4O5W4O52x8FCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMc1odAIGj38vbrY7gl7SJt1sdAQBgUxzBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIYF5Mc09OrVS263Ww6Ho2xt%2BPDhevbZZ7V9%2B3b98Y9/1BdffKFrrrlGY8aM0ZAhQyxMCwAA7CYgC1ZhYaHeeustdejQwWf9yJEjio%2BP14wZMzRw4EDt2rVL48aN0/XXX6%2BoqCiL0gIAALsJuFOEHo9HxcXFCgsLK3ffhg0b1KpVKw0bNky1a9dWTEyMevfurdTUVAuSAgAAuwq4glVYWCiv16tFixbpjjvuUPfu3TVr1iwVFxcrOztbkZGRPtu3bdtWWVlZFqUFAAB2FHCnCE%2BfPq2bb75ZHTp0UGJionJycjRp0iTNnj1bBQUFatq0qc/2DRs2VH5%2Bvl%2BPkZubK7fb7bPmdIYoPDz8svP/VHBwkM/fMMvpPP9cmbs1mLs1mLs1mLv9BVzBatq0qd59992y261bt9aUKVM0fvx4dezYsdz2Xq/X52L4ykhOTlZSUpLPWnx8vBISEi4tdAVCQ%2BtWyX4DnctV76L3M3drMHdrMHdrMHf7CriCdT4tW7aUx%2BNRUFCQCgoKfO4rKCiQy%2BXya39xcXGKjY31WXM6Q5SfX3zZWX8qODhIoaF1VVh4Qh5PqdF9Qxf8fjF3azB3azB3azB3cyp6s1xVAq5g7du3T%2BvXr9fUqVPL1g4cOKBatWqpR48eeu%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%2B27Vt21ZZWVnVHQ8AANhYQJ4iPHr0qBYtWqS33nrLZ72goEBNmzb1WWvYsKHy8/P92n9ubq7cbrfPmtMZovDw8EsLfAHBwUE%2Bf8Msp/P8c2Xu1mDu1mDu1mDu9heQBSsxMVFDhw7VjTfeqG%2B%2B%2Beai23q9XjkcDr/2n5ycrKSkJJ%2B1%2BPh4JSQk%2BJ21MkJD61bJfgOdy1Xvovczd2swd2swd2swd/sKuIK1Y8cOffrpp5ozZ065%2B1wulwoKCnzWCgoK5HK5/HqMuLg4xcbG%2Bqw5nSHKzy/2P/BFBAcHKTS0rgoLT8jjKTW6b%2BiC3y/mbg3mbg3mbg3mbk5Fb5arSsAVrPfff1/ff/%2B9evbsKenMESpJio6O1ujRo7Vhwwaf7bOystS%2BfXu/HiM8PLzc6UC3%2B7hKSqrmReLxlFbZvgNZRTNl7tZg7tZg7tZg7vYVcAVr%2BvTpeuKJJ8puf/fdd4qLi9O6detUWlqqJUuWKCUlRYMGDdK//vUvZWRkKDk52cLEAADAbgKuYIWFhSksLKzsdklJiSSpWbNmkqQlS5bopZdeUmJiolq2bKl58%2BYpIiLCkqwAAMCeAq5gnatly5b6/PPPy2536tRJKSkpFiYCAAB2x89/AgAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADDMVgXr%2BPHjVkcAAACokK0KVrdu3TRt2jTt3LnT6igAAAAXZKuC9bvf/U7ff/%2B9fv3rX6tfv35avny58vLyrI4FAADgw1YFa8iQIVq2bJm2bt2qUaNGadOmTerZs6cmTZqkHTt2WB0PAABAks0K1lmNGjXS/fffr1WrVikxMVEfffSRRo8erf79%2B2vTpk1WxwMAAAHOaXWAS5GXl6d3331X77zzjr7%2B%2BmvdfvvtiouLU25urmbOnKmcnBw9/PDDVscEAAABylYFa9u2bUpJSVF6eroaNmyooUOHavjw4WrRokXZNjfffLPi4%2BMpWAAAwDK2Klhjx45VdHS05s%2Bfr1/%2B8pdyOsvHj4qKUoMGDSxIBwAAcIatCtbGjRt17bXX6vTp02XlqqioSPXr1/fZ7sMPP7QiHgAAgCSbXeQeFBSk/v37Kz09vWxtzZo16t%2B/vw4dOmRhMgAAgB/ZqmA9//zzatOmjTp27Fi2NmjQIEVFRSkxMdHCZAAAAD%2By1SnCTz/9VFu2bFHdunXL1ho3bqyZM2eqV69eFiYDAAD4ka2OYHm9Xp0%2BfbrcelFRkTwejwWJAAAAyrNVwerevbumTZumffv2qaioSIWFhdq1a5cmT56snj17Wh0PAABAks0K1jPPPKOCggINGTJEnTp1UnR0tEaNGiVJmjVrVqX3s2/fPj300EPq2LGjunbtqokTJ8rtdkuStm/frmHDhqlDhw4aMGCA1q5dWyVfCwAAqLlsdQ3W1VdfrdWrV2vfvn366quvFBwcrOuuu06tW7eu9D5Onz6t0aNHa9SoUXr99ddVWFioJ554QrNnz9bMmTMVHx%2BvGTNmaODAgdq1a5fGjRun66%2B/XlFRUVX4lQEAgJrEVgXrrIiICEVERFzSvz1x4oQmTZqku%2B%2B%2BW06nU40bN1bfvn31l7/8RRs2bFCrVq00bNgwSVJMTIx69%2B6t1NRUChYAAKg0WxWszMxMzZkzR//973918uTJcvfv3bu3wn2EhYXp3nvvLbv91Vdfae3aterfv7%2Bys7MVGRnps33btm2VlpbmV87c3NyyU45nOZ0hCg8P92s/FQkODvL5G2Y5neefK3O3BnO3BnO3BnO3P1sVrGeffVYhISGaMGGCQkJCLmtfOTk56tu3r0pKSjRixAglJCTo0UcfVdOmTX22a9iwofLz8/3ad3JyspKSknzW4uPjlZCQcFmZz%2Be23240vk%2Bc4XLVu%2Bj9oaF1L3o/qgZztwZztwZzty9bFawvv/xSH330UblfjXMpWrRooczMTH311VeaOXOmpk6det7tvF6vHA6HX/uOi4tTbGysz5rTGaL8/OJLzns%2BvLOpWhf6fgUHByk0tK4KC0/I4ymt5lSBi7lbg7lbg7mbU9Gb5apiq4LVvHlzo/tzOBy67rrrNGnSJI0YMUI9evRQQUGBzzYFBQVyuVx%2B7Tc8PLzc6UC3%2B7hKSniR2ElF3y%2BPp5TvqQWYuzWYuzWYu33Z6hDIpEmTNHfuXBUVFV3yPrZv366%2BffuqtPTHJ2xQ0JkxdO3aVVlZWT7bZ2VlqX379pf8eAAAIPDYqmAtXrxYmzdvVufOndW1a1d169bN509ltGvXToWFhZo/f75OnDihvLw8LVq0SLfddpsGDhyonJwcpaSk6NSpU8rIyFBGRoaGDx9exV8ZAACoSWx1ivDc65ouRVhYmJYvX67nn39eXbp0UUhIiLp06aLnn39eV199tZYsWaKXXnpJiYmJatmypebNm3fJHwkBAAACk8Pr9XqtDhEI3O7jxvfpdAbpV/O3Gd8v7Clt4u1WR6hSTmeQXK56ys8v5pqUasTcrcHczWnSpIElj2urU4SStGvXLk2bNk0PPPCAJKm0tFQffvihxakAAAB%2BZKuC9cEHH%2BiBBx7QsWPHtHv3bknSd999p1mzZik1NdXidAAAAGfYqmAtWbJE8%2BfP15/%2B9Keyz6Zq3ry5Fi5cqDfffNPidAAAAGfYqmB9/fXX6tOnjyT5fPhndHS0vvnmG6tiAQAA%2BLBVwXK5XMrLyyu3fvDgQdWpU8eCRAAAAOXZqmB16dJFv/3tb3XgwAFJZz5l/aOPPtLEiRPVs2dPa8MBAAD8H1sVrGnTpunEiRMaMGCATp06pZiYGD366KNq0aKFpk%2BfbnU8AAAASTb7oNGGDRvq7bff1r59%2B/TFF1%2BoTp06atWqlVq1amV1NAAAgDK2KlhnRURE8OnqAADgimWrghUREeHz04Pn2rt3bzWmAQAAOD9bFaxZs2b5FCyPx6ODBw9q69atGj9%2BvIXJAAAAfmSrgjVy5Mjzrv/73/9WcnKy7r777mpOBAAAUJ6tforwQjp16qSMjAyrYwAAAEiqIQUrPT1dTqetDsYBAIAazFatpFu3buXWTp06paKioguePgQAAKhutipYcXFx5X6KsHbt2rrhhhsUGxtrUSoAAABftipYEyZMsDoCAABAhWxVsJKSkiq1ncPhUHx8fBWnAQAAOD9bFaz33ntPR48e1alTp1S3bl05nU4dP35cderUUf369X22pWABAACr2KpgTZ48WX//%2B981depUNWvWTJJ06NAhzZs3T/369VO/fv0sTggAAGCzgvXKK69ozZo1CgsLK1v72c9%2BptmzZysuLo6CBQAArgi2%2Bhysb7/9VsHBweXWr7rqKh09etSCRAAAAOXZqmDdeOONmjZtmrKzs1VYWKiioiLt27dPzzzzjNq0aWN1PAAAAEk2O0X43HPPafLkyRo6dGjZ52F5vV41b95cr732msXpAAAAzrBVwYqMjFRaWpqysrL07bffyuv1qlmzZmrXrp2Cgmx1MA4AANRgtipYZ4WFhen48eOKiYmxOgoAAEA5tjrsk5eXp0ceeUS/%2BtWvNGbMGEmS2%2B3WXXfdpe%2B%2B%2B87idAAAAGfYqmC98MILKi0tVUpKStkpwQYNGigyMlIvvPCCxekAAADOsNUpwq1bt2rdunVq2rRp2UXuderU0dNPP62BAwdanA4AAOAMWx3B%2BuGHHxQeHl5uvU6dOioqKrIgEQAAQHm2Klg33HCDNm3aVG49OTlZrVq1siARAABAebY6RTh69GhNnTpVaWlp8ng8eu6555Sdna3PPvtML7/8stXxAAAAJNnsCNadd96pJUuWqKSkRD//%2Bc/16aefqkWLFlq9erX69OljdTwAAABJNjuClZmZqZiYGD7/CgAAXNFsdQTrwQcflMfjsToGAADARdmqYA0YMEArVqyQ1%2Bu1OgoAAMAF2eoU4dGjR5Wenq7XX39dzZs3V61atXzuX716tUXJAAAAfmSrguVyudSjRw%2BrYwAAAFyULQpWQkKCFi5cqMTExLK1hQsXKiEhwcJUAAAA52eLa7AyMjLKrb3xxhsWJAEAAKiYLQrW%2BXChOwAAuFLZtmCd/WXPAAAAVxrbFiwAAIArFQULAADAMFv8FOEPP/ygyZMnV7i2YMGC6owFAABwXrYoWB07dlRubm6FawAAAFcCWxSst99%2B2%2BoIAAAAlRaw12Dl5OQoPj5e0dHR6tKli5566ikVFhZKkrKzs3X//ferY8eO6tOnj5YtW2ZxWgAAYCcBW7Aee%2BwxhYaGKj09XevXr9cXX3yhF198USdPntS4cePUpUsXbdu2TS%2B//LKWLVumjRs3Wh0ZAADYREAWrMLCQkVGRmry5MmqV6%2BemjRpoiFDhmjnzp3asmWLSkpKNH78eIWEhCgyMlL33nuvUlJSrI4NAABsIiALVmhoqBITE9W4ceOytcOHDys8PFzZ2dlq06aNgoODy%2B5r27atsrKyrIgKAABsyBYXuVe1zMxMrVy5UosXL1ZaWppCQ0N97m/YsKEKCgpUWlqqoKCKO2lubq7cbrfPmtMZovDwcKO5g4MDsh/jApzOmv18OPt853lfvZi7NZi7/QV8wfrkk080fvx4TZ48WV27dlVaWlq5bbxer1%2B/mic5OVlJSUk%2Ba/Hx8UpISLjsvMCFuFz1rI5QLUJD61odISAxd2swd/sK6IL1j3/8Q1OmTNGzzz6rIUOGSJIaNWqkL7/80me7Y8eOqWHDhpU6eiVJcXFxio2N9VlzOkOUn19sJPdZvLPBT5l%2Bfl1pgoODFBpaV4WFJ%2BTxlFodJ2Awd2swd3OsevMZsAVr165deuqpp/TKK6%2BoW7duZevt2rXTqlWrVFJSIqfzzHgyMzPVvn37Su87PDy83OlAt/u4Skp4kaDqBMrzy%2BMpDZiv9UrC3K3B3O0rIA%2BBlJSUaMaMGZoyZYpPuZKkHj16qH79%2Blq8eLFOnDih//znP0pNTdXIkSMtSgsAAOzG4fV6vVaHqG47d%2B7UqFGjVKtWrXL3bdy4UcXFxXruuee0Z88eNWnSRA8%2B%2BKDuu%2B%2B%2By3pMt/v4Zf3783E6g/Sr%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%2BuuvKzU1Vddee225%2B/bs2aOnn35aSUlJ6tKli/72t79pwoQJ2rhxo6655hoL0gIAALsJyCNYtWvXvmDBSk1NVY8ePdSjRw/Vrl1bd911lyIiIrR%2B/XoLkgIAADsKyCNYDz744AXvy87OVo8ePXzW2rZtq8zMzErvPzc3V26322fN6QxReHi4f0ErEBwckP0YNYDT6f9z9%2Bzzned99WLu1mDu9heQBetiCgoKFBYW5rMWFham/fv3V3ofycnJSkpK8lmLj49XQkKCkYyA3blc9S7534aG1jWYBJXF3K3B3O2LglVJDoej0tvGxcUpNjbWZ83pDFF%2BfrHRTLyzgV1dymshODhIoaF1VVh4Qh5PaRWkwvkwd2swd3Mu5w3d5aBgncPlcik/P99nraCgQC6Xq9L7CA8PL3c60O0%2BrpISXiSApMt6LXg8pbyWLMDcrcHc7YtDIOdo166dsrKyfNYyMzPVvn17ixIBAAC7oWCdY/jw4frnP/%2BpLVu26NSpU0pNTdWXX36pQYMGWR0NAADYRECeIvzFL34hSSopKZEkbd68WdKZI1U33XST5s%2Bfrz/84Q/65ptv1Lp1ay1ZskRNmjSxLC8AALCXgCxYFX3kQp8%2BfdSnT59qSgMAZvV7ebvVESotbeLtVkcAqgSnCAEAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMCwgPwpQgDwh51%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%2BpgpWcnKykpCSftccff1wTJkwwF1RnitxDzf6f4uLijJc3XFhubq6Sk5OZezVj7tZg7tZg7vZXs%2BpiFfF6vZIkh8NRqe3j4uL07rvv%2BvyJi4sznsvtdispKanc0TJULeZuDeZuDeZuDeZufxzBOkejRo2Un5/vs3bs2DE5HA65XK5K7SM8PJx3HAAABDCOYJ2jXbt2Onz4sPLy8srWMjMz1bp1a9WrV8/CZAAAwC4oWOeIjIxUVFSUFixYoKKiIh04cEDLly/XyJEjrY4GAABsInj27NmzrQ5xpenevbvS0tL0wgsvaNOmTRoyZIgeeeSRSl%2BDVZ3q1aunzp07c3StmjF3azB3azB3azB3e3N4z17BDQAAACM4RQgAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAXrCnfo0CGNGTNG0dHR6tWrl1588UV5PJ7zbrtixQr17dtXHTt21MiRI/XZZ59Vc9qaw5%2B5FxcXa8qUKWrTpo0OHDhQzUlrFn/mvmrVKvXt21e33nqrBg4cqM2bN1dz2pqjsnP3er1KSkpSr169dMstt2jAgAFau3atBYlrBn%2Be72cdOXJEt956qxYtWlRNKXGpKFhXuISEBDVr1kybN2/WihUrlJ6erhUrVpTbbvPmzXr11Vf10ksvafv27erdu7fGjx%2Bv4uLi6g9dA1R27keOHNE999yj4ODg6g9ZA/nzfF%2BwYIHmzp2rjz/%2BWKNHj9bEiRN16NCh6g9dA1R27m%2B%2B%2BabWrl2rN954Q5988oni4%2BP19NNPa8%2BePdUfugao7Nx/as6cOQoK4r9uW/DiivXZZ59527Zt6y0oKChbW7Vqlbdv377lth07dqx37ty5ZbdLS0u93bp1827YsKFastYk/sx979693s2bN3sPHTrkvemmm7z79%2B%2Bvzqg1ij9zX7dunXflypU%2Ba507d/a%2B//77VZ6zpvFn7jt27PDu3r3bZ61Tp07edevWVXnOmsafuZ%2B1ZcsWb9%2B%2Bfb1PPvmkd%2BHChdURE5eBGnwFy87OVosWLRQWFla2FhkZqYMHD6qoqKjctpGRkWW3HQ6HIiIilJmZWW15awp/5h4REaHevXtXd8QayZ%2B5Dxo0SPfdd1/Z7cLCQhUXF6tp06bVlrem8GfuXbp0Ufv27SVJJ0%2Be1MqVKxUcHKyYmJhqzVwT%2BDN36cy8f//732vWrFm66qqrqjMqLhEF6wpWUFCg0NBQn7WzL8b8/Pxy2/70hXp223O3Q8X8mTvMudS5e71ezZgxQ%2B3bt1fnzp2rNGNNdClznzFjhm655Rb9%2Bc9/1muvvaYmTZpUec6axt%2B5v/rqq7rlllsoszZCwbIZr9cr6cwRqspsW5ntUDF/5g5zKpr7Dz/8oClTpmj//v165ZVXqjNajVbR3OfMmaPdu3frscce09ixY7kGy5ALzX3//v0auqtFAAAClElEQVRKTU3V9OnTrYiFS0TBuoI1atSo3DuZY8eOyeFwyOVy%2Bay7XK7zbnvudqiYP3OHOf7O/eTJk/rNb36jw4cPa%2BXKlWrcuHF1Ra1RLvX5XqdOHQ0dOlRRUVFKTU2t6pg1jj9znz17th5//HGOFNoMBesK1q5dOx0%2BfFh5eXlla5mZmWrdurXq1atXbtvs7Oyy2x6PR3v27Cm7XgKV58/cYY4/c/d6vZo0aZKcTqdWrFhB8b0M/sx9zJgxWrlypc%2Baw%2BGQ0%2Bmslqw1SWXnnpOTo48//lgLFy5UdHS0oqOj9cEHH2jZsmW6%2B%2B67rYiOSqJgXcEiIyMVFRWlBQsWqKioSAcOHNDy5cs1cuRISdKdd96pnTt3SpJGjhyptWvXavfu3Tpx4oQWL16sWrVqqWfPnhZ%2BBfbkz9xhjj9zX79%2Bfdlpwdq1a1sZ2/b8mXuHDh20dOlS7dmzRyUlJUpPT9eOHTvUq1cvK78EW6rs3Js1a6aMjAytW7eu7E9sbKxGjBihpUuXWvxV4GJ423GFW7hwoWbPnq3Y2Fg1aNBAQ4YMKfvpqYMHD%2Bp///ufJOmOO%2B7Qk08%2BqenTp8vtduvmm2/W0qVLVadOHSvj21Zl5/7aa69p8eLFZddODB48WA6HQ%2BPHj9djjz1mWX67quzc33nnHeXk5JS7qH3w4MGaM2dOtee2u8rOfcyYMfJ4PBo7dqyOHz%2Buli1bas6cOVx4fYkqM/fg4GA1a9bM59/VrVtX9evX55ThFc7hPfs/AwAAAIzgFCEAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGPb/AW2kNYk9LTq3AAAAAElFTkSuQmCC\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-7262717837844595363\">\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\">0.0567674227058887</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0604777261614799</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0242108516395092</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0998721495270729</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0593078061938286</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.25166663527488703</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.10497024655342098</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.15134713053703303</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.132774114608765</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.301183730363846</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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 (145)</td>\n",
       "        <td class=\"number\">145</td>\n",
       "        <td class=\"number\">93.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-7262717837844595363\">\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\">0.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0043879006989300294</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.00896481610834599</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0100912861526012</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0110515309497714</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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\">0.384398728609085</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.40077006816863997</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.43929925560951205</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.455220013856888</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.46430778503417997</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.6%</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 ignore\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_Whisker.high\"><s>Whisker.high</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_Happiness.Score\"><code>Happiness.Score</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>0.9995</td>\n",
       "        </tr>\n",
       "    </table>\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_Whisker.low\"><s>Whisker.low</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_Whisker.high\"><code>Whisker.high</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>0.99804</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "</div>\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Correlations</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAuwAAAKiCAYAAACNcongAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzs3Xl8TXf%2Bx/FXFklsSQShYqnSBI0lFImthDZaFBlFTTU/Vd1spVpLYwtDGUvHlFo6lNYYtbSdogu1tEWLMhUqKRqhUoklBGn2%2B/sjcpsrCeGcW1fzfj4eeRz5nnM%2B93OOLJ/zyfec62SxWCyIiIiIiIhDcr7TCYiIiIiISNFUsIuIiIiIODAV7CIiIiIiDkwFu4iIiIiIA1PBLiIiIiLiwFSwi4iIiIg4MBXsIiIiIiIOTAW7iIiIiIgDU8EuIiIiIuLAVLCLiIiIiDgw1zudgIiI/HECAgKKXFeqVCm8vb0JDAykR48ehIWF4eTk9AdmJyIihXGyWCyWO52EiIj8MfIK9kaNGlG5cmWbdenp6fz8888kJCQA0KFDB%2BbNm4ebm9sfnqeIiPxOBbuISAmSV7DPnz%2BfTp06FbrNli1bePXVV0lNTeWZZ55h9OjRf2SKIiJyHc1hFxERG506deKVV14BYNWqVaSnp9/hjERESjbNYRcRkQIeeeQRpkyZwm%2B//caPP/5IUFCQzfrdu3ezcuVK/ve//3Hx4kXKlStHvXr1%2BMtf/kK3bt0KjXnx4kWWLVvGjh07iI%2BPJyMjAy8vLxo1asSAAQNo2bJlgX1CQ0M5ffo0S5YsIT09nblz53Lq1CneffddmjVrBsBPP/3E0qVL2bdvH4mJibi6uuLr60uLFi146qmnCp23f/nyZZYvX86XX35JfHw8mZmZVKpUiaZNm/J///d/NGzY0Gb7X375hY4dOwJw8OBBjh8/zttvv82BAwe4ePEivr6%2BdOzYkREjRlCmTJnbOuciIkVRh11ERArw9va2/jslJcVm3dy5c/m///s/Nm/eTNmyZWnZsiU%2BPj7s3r2bUaNG8fLLL5OdnW2zz9mzZwkPD2fhwoX8/PPPNGjQgODgYNzc3Ni2bRsRERGsW7euyHx%2B/vlnRowYQalSpQgODsbDwwOAPXv28Je//IUPP/yQ9PR0mjVrRlBQEFeuXOGDDz6gd%2B/e7N692ybW6dOn6dmzJ//85z85duwY9erVIygoiPT0dDZs2EDv3r1Zs2ZNkbns37%2Bffv36cfjwYerVq0ft2rU5ffo0K1asYOjQocU%2BxyIixWYREZESw9/f3%2BLv72/ZvHnzDbc7fvy4dduDBw9axzdv3mzx9/e3NG/e3LJ9%2B3abffbs2WNp1aqVxd/f37Js2TKbdVOmTLH4%2B/tbwsLCLOfOnbOOZ2VlWf72t79Z/P39Lc2aNbNcuXLFZr8OHTpY/P39LaGhoZa33367QJ5PPPGExd/f3/LGG29YsrOzbeLOnTvX4u/vb%2BnatavNPv369bP4%2B/tbwsPDLYmJidbx7Oxsyz//%2BU%2BLv7%2B/JTAw0PLzzz9b1506dcp6Ptq3b29ZvHixJScnx7p%2B1apV1vVHjhy50akVEbll6rCLiEgBX3zxBQBeXl7Ur1/fOr5gwQIARo8ezUMPPWSzT/PmzXnttdcAWL58OZZ8zzSoUqUKXbp0YciQIVSsWNE67uLiwogRI3B2duby5cv873//KzSfnJwcnnvuuQLjR44cASA8PBxn599/pbm4uDBs2DCGDRtG//79ycjIAOCHH35g3759AMycORNfX1/rPs7OzgwZMoQHHniAjIwM/vOf/xSai5%2BfH4MGDbJ55GWfPn3w8fGxvoaIiJk0h11ERGzs2LGDRYsWAfDss8/i6pr7qyIpKYnDhw8D8PDDDxe6b6dOnXByciIhIYETJ05Qu3ZtAAYNGlTk65UuXZqKFSty9uxZzp49W%2Bg2wcHBNgV5Hk9PT86dO8emTZsYPny4zTpnZ2cGDx5sM/b1118DuU/LqVOnTpHHcPjw4QJTafL06dOnwJiTkxM1atTgwoULJCcnF7qfiMjtUsEuIlICLVq0iPXr19uMZWRkcOLECU6dOgXkdq2fffZZ6/rY2Fjrv8eMGVNkbFdXVzIzM20K9rz4O3bs4NChQyQlJZGSkmLtwl%2B%2BfBnI7aQXpkqVKoWOR0REMHv2bBYsWMDXX39N165dCQkJKfINoo4dOwbA/fffX2T%2B9913H5A7b74wNWvWLHTc3d0dgMzMzCJji4jcDhXsIiIl0MGDBwuMubi4UKFCBTp27EifPn0KTHm5dOmS9d9ffvnlTV8jrwgHiImJYfDgwfzyyy%2B3la%2BXl1eh43nTZBYtWkR0dDTR0dEAVK5cmc6dOxMREUGNGjUK5OTp6Vnka5UvXx7ILbzT0tKsN7jm0RtJicgfTQW7iEgJdKM3TipK3pztUqVKER0dbTOH%2B0bS0tJ48cUXSUhI4N577%2BWll14iJCSEChUqUKpUKeD3xzfe7LUL89xzz9G3b1%2B2bNnCjh072LVrF2fPnuW9995j9erVzJw5k0cffbTYx5l/7n1h03BERP5oKthFRKRY8h71mJmZSXJysvUmy5v56quvSEhIwMnJiUWLFnHvvfcW2Ob6R0feKk9PT8LDwwkPDyc7O5tdu3Yxf/58Dhw4wOuvv05wcDAVKlSwdupv9Hp56zw8PNRNFxGHoNaBiIgUi7%2B/v/XfR48eLfZ%2BJ06cAHLnfhdWrMfFxdlMnzHKxcWFtm3bsmLFCqpUqcLVq1etU4Dy5q7/9NNPRe6ft%2B5G89xFRP5IKthFRKRYKleuzAMPPADABx98UOg2cXFxdO/enbfffts6ljcnPD09vdB9Fi5caP339W%2B4dCM//PAD48aNY%2BnSpYWud3Nzs752WloagHVe/k8//VRo0Z6Tk2N9pGXbtm2LnYuIiD2pYBcRkWJ74YUXANiwYQPvvvuuzXzv%2BPh4hg0bRkxMDL/%2B%2Bqt1vF69egCcOXOGLVu2WMd/%2B%2B03pk6dSnR0NEFBQUDRT2YpjIuLC%2BvWrWPevHls3769wPrNmzdz/PhxSpUqRdOmTQFo0KABbdq0AWDcuHFcuHDBun1WVhZ///vfOX78OOXLl6dv377FzkVExJ40h11ERIrtkUce4bnnnmPx4sVMnz6dFStWcN9995GcnMyRI0fIzs6mSZMmNo99DAoKok2bNnzzzTcMHTqUxo0b4%2B7uzqFDh3B1dWXp0qVs2rSJAwcOsGLFCmJjY3nxxRdp3rz5DXMJDAxk6NCh/POf/%2BT555/Hz8%2BPWrVq4ezszC%2B//GKdijNmzBgqV65s3W/atGlEREQQHR1NaGgo/v7%2BuLu7c/ToUZKTk/Hw8GD27NlFPkpSROSPpoJdRERuySuvvEJISAgrV67kf//7H7t378bd3Z3AwEAee%2Bwx%2BvXrV%2BBmzTfffJNZs2bx5ZdfcujQIXx9fQkLC%2BOFF16gZs2a3HPPPfz444/s37%2Bfo0ePFvsJNEOGDCEwMJD169dz6NAhDhw4QFZWFpUrV6Zr16489dRT1u59nipVqrB27VreffddNm/ezNGjR8nKyqJKlSo88sgjDBw4kFq1apl2vkREjHKy5P97poiIiIiIOBTNYRcRERERcWAq2EVEREREHJgKdhERERERB6aCXURERERKpK%2B//ppWrVoxYsSIG26Xk5PD7Nmz6dixI82bN2fgwIHEx8db1ycnJzN8%2BHBatWpFmzZtGDt2LL/99ptpeapgFxEREZESZ8mSJUydOrVYT4V677332LhxI4sXL2b79u3cd999DBkyxPpeFJGRkaSlpbFhwwbWr19PfHw8f//7303LVQW7iIiIiJQ47u7urF27tlgF%2B5o1a/i///s/6tSpQ9myZXn55ZeJi4vjhx9%2B4Ny5c2zdupURI0bg4%2BODr68vL774Ih9%2B%2BCGZmZmm5KrnsIuIiIjIXScpKYmzZ8/ajFWuXBlfX99i7f/0008Xa7u0tDSOHTtGgwYNrGNly5alZs2aREdHc/nyZVxcXAgICLCub9CgAampqfz8888247dLBbuI2Yr5hi/FUrs2HD0K998PcXGGQjlh3lsumJiW6czOzdmkv0PWrg2xsRAQYE5egYHGY%2BTx84NPPoFu3eD0aePxKlY0HgPgnntgxQp4%2Bmn49Vfj8UycTkq1avDBB9C7NyQkGI8XEmI8BoCPD4wbB9OmwYULxuMNHWo8Rh5XV6heHX75BbKyjMf74gvjMQDKl4e%2BfeE//4HLl43HS0oyHiOPtzcMHgzz58PFi8bjjR9vPMZtM/N34zWr583jrbfeshkbMmQIQ838wgUuXbqExWLBy8vLZtzLy4vk5GS8vb0pV66czRu%2B5W2bnJxsSg4q2EUcmbc3uLjkLh2Ig6YFOG5ujpoX5BYsLi65S0dSrlxuXuXK3elMCnLU3EqXzr3ILF36TmdSkLNzbs1m1kWwWdzdc3NydzenYDeTh0dubh4edzoTx9SnTx9CQ0NtxipXrvyHvb7FYrnpuzIX912bb0YFu4iIiIjYlx2u1Hx9fYs9/cUIb29vnJ2dC3TLL126hI%2BPDz4%2BPly%2BfJns7GxcXFwAuHjtTyI%2BPj6m5OBg17kiIiIiIo7D3d2d%2B%2B%2B/n8OHD1vHUlJSOHnyJI0aNaJ%2B/fpYLBZiYmKs66Ojo/H09KR27dqm5KCCXURERETsy9nZ/A87SkxMpHPnzpw6dQqAJ598khUrVnD8%2BHGuXLnCrFmzqF%2B/Pg0bNsTHx4ewsDDefPNNLly4wJkzZ5g/fz69evXC1dWcySyaEiMiIiIiJU7Dhg0ByLp2F/SWLVuA3O54ZmYmcXFxZGRkANC3b1/OnTvHoEGDuHr1KkFBQTY3vEZFRTFp0iS6du2Kq6srnTp1uumbMd0KFewiIiIiYl%2BOdrcxuYV5UapXr05sbKz1cycnJ4YOHVrkE2jKly/P7NmzTc8xjwp2EREREbEvByzY7yY6eyIiIiIiDkwddhERERGxL3XYDVHBLiIiIiL2pYLdEJ09EREREREHpg67iIiIiNiXOuyG6OyJiIiIiDgwFewCQFhYGGvWrLnTafyhvvvuOwICAkhPT7/TqYiIiPy53WXvdOpoStbROrDQ0FBWrVpVYHzVqlWEhoba/fU///xznnjiCbu/TnH985//pF69ejRs2ND60bJlSwYOHMiPP/54p9MTERGRW6GC3ZCSdbRyV2nUqBHR0dHWjy1btlC3bl2effZZUlJS7nR6IiIiIn8IFex3kejoaPr168eDDz5I69atiYqKIisrC4D169fz8MMPs2bNGtq2bUvjxo15/fXXrevHjBnD2LFjiYqKomnTprRs2ZKVK1daY%2Bfv8I8ZM4YpU6Ywffp0WrRoQXBwMIsXL7Zue/HiRUaNGkWbNm0ICgpi2LBhXLx4EYDs7GymTZtGmzZtaNKkCd27d2fXrl0ApKam8tprrxEcHExQUBB9%2B/a9pW55%2BfLlefXVV7l8%2BTIHDhwAID09ncjISNq0aUPTpk156qmnOHbsmM1xrVmzhueee46goCA6duzIN998U2j8Q4cO0axZM3bu3FnsnERERKQY1GE3RE%2BJuYuMGDGCrl278v7775OQkECfPn0ICAigT58%2BACQmJhIdHc0XX3xBQkICTz/9NCtXriQiIgKAzz77jLFjx/Ltt9/y1VdfMWTIEJo1a0a9evUKvNbGjRsZPXo0O3fu5L///S%2BRkZH06NEDX19fxowZg4uLCxs2bMDV1ZWJEycycuRIli5dysaNG9m0aRNr167F19eXjRs38tprr7F9%2B3aWL19ObGwsn332GeXKlWPp0qWMHz%2BedevWFfsc5OTkYLFYrJ8vWbKEH374gQ0bNlCmTBkiIyOJjIzkP//5j3Wbf/3rX8ycOZN69eoxadIkpk2bxqZNm2ziJiYm8tJLLzF27Fhat25d7HySkpI4e/aszVjl2rXx9fYudowbyvu/KeT/6FYFGY7wOxPTMp3ZuZn1OyEgwHZpVJ065sQBqF3bdmmUWV/%2BNWrYLo1KSzMnDkCtWrZLo/z8zInj62u7NMrNzZw4AKVK2S6NqlTJnDh5X69mfd2aWUdWrGi7lJJLBbsDmTp1KtOmTbMZy8nJoUqVKgB89NFHuLm54ezsTPXq1QkKCuLw4cPWbdPT03n55ZcpXbo0derUoWvXrmzfvt1asFerVo3evXsD0KlTJ%2BrXr8%2B2bdsKLdj9/Pzo2bMnAI899hjjxo3jxIkTuLi4sG3bNjZt2oT3tZ9uo0aNon379pw9e5aUlBRcXFzw8PDA2dmZbt260aVLF5ydnW3Wubq6MmjQIAYNGlTs85OcnMzcuXPx9vamZcuWADz33HNERERQvnx5IPfm2eHDh9vs16FDBxo1amRd/9FHH5GTk2Nz3gYPHkzPnj3p1atXsfMBWL16NW%2B99ZbN2JDhwxl6XQ6G/fvfhkPsNyGN65mQlt04am75/rDlcN54405nULjIyDudQdGiou50BoXr3/9OZ1A0sy4m/vIXc%2BLk6djR3HhmCg%2B/0xmYoIR1xM2mgt2BREZG8uSTT9qMrVq1iiVLlgCwa9cuFixYQHx8PFlZWWRlZdG9e3frtl5eXvj4%2BFg/r1atms30j9rXtc%2BqVatGUlJSoblUr17d%2Bu/SpUsDkJaWxqlTpwDo0aOHzfYuLi78%2BuuvdOnShfXr19OhQwdat25Nhw4d6NatG25ubjz55JNs2bKFhx56iDZt2tCpUyfCwsJwcnIqNIeDBw/SsGFD6%2BcZGRl07NiR9957Dw8PDwAuXLjAlClT2LdvH1evXgUgMzOzyGPx8PAgOzvbZptx48Zx7ty5AoV%2BcfTp06fATcGVu3WD5ctvOVah6tXLrTz79YOYGEOhmppYspuYlunMzs3MDvvKlfDXv0JsrPF4ZnfY33gDxoyBuDjj8czssEdGwtSpcO1HjyFmd9ijomDCBIiPNx7vWk/BMF/f3GL9vfegiB/vt6RvX%2BMx8pQqlZtfUhJc92P6tnz7rfEYkPv12rEjfPklXJvdaciFC8Zj5KlYMbdYX78ezp83Hu8WemTmU8FuiAr2u8Tx48cZMWIEo0ePpnfv3nh4eDBs2DCbbbKzs20%2Bt1gsNsXwzdbn51zEN1ZeofzVV19RoUKFQrdZt24d%2B/btY%2BvWrcyZM4eVK1fywQcfULNmTT799FN27drFtm3bGD9%2BPP/97395%2B%2B23C43TqFEjPvjgAyD3YqFr164EBgbaXHiMHDkSd3d3Pv74Y6pWrcr27dt5/vnni3UsedLS0sjKyuK9996z/jWiuHx9ffG9vl1kRsVzvZgYuDZv/3YZ27twJqRlN2blZvbvmNhYc/Iyo%2BC5XlycORc5Zv/5/tQpOHrUeJzffjMe43rx8fDTT8bjmH3OkpLg9GnjcTIyjMe4XmamOXHPnTMeI7%2BLF82JacaF0vXOn4czZ8yPK3cPXe7cJY4cOYKbmxv9%2B/fHw8ODnJwcYq77zXrlyhUu5Lu0P336tHU6DWDtjudfX7Vq1VvKw8/PD2dnZ2LztQgzMzNJTEwEcrvgV69epXnz5owePZoPPviAw4cPExMTQ2pqKllZWbRr146JEyeyYMECtm7dSnJy8k1f18PDg4kTJ/L2229z/Phx6/jBgwfp3bu39TjyTxEqrnnz5jF16lTmzJljE1tERERMoptODSlZR3sX8/PzIy0tjZiYGC5dusSMGTMoW7aszZQWNzc35s2bR2pqKseOHWPjxo020zVOnz7NunXryMjI4PPPPyc2Npb27dvfUh7ly5fnscceY9asWZw5c4a0tDTmzJnDM888g8ViYerUqbz88sskJydjsViIjo6mVKlSVKtWjaFDhxIVFcWVK1fIysri8OHDeHt74%2BXlRWJiIp07dy5wUZFf27Ztefjhh4mMjLTOQffz8%2BPgwYNkZGSwfft2vvvuOwDrBURxuLi40L59e7p06cLo0aOtT9YRERERcQQq2O8SQUFB/PWvf%2BWpp56iW7du3Hfffbz22mv88MMPvPLKKwB4enpSv359wsLC6NWrF506daJvvgmI7dq14%2BDBg4SEhDBx4kQmTZqEv7//Lecyfvx4atWqRZcuXWjbti3Hjh1jwYIFODk58corr1CuXDkeeeQRmjZtysKFC3nzzTfx8fFhypQpJCYm0q5dO1q0aMHnn3/O/PnzcXZ2JjMzk7i4ODJu8nfSsWPHcuzYMesjKSdMmMDnn39Oy5Yt%2Beijj3jzzTd54IEH6NKlS7E69/mNGzeOCxcusHDhwls%2BJyIiInID6rAb4mTJ/4w8uWutX7%2Be2bNnF/kM8TFjxpCens7cuXP/4MxKoCLuC7gtQUGwfz80bWp44rMT5n2rm5iW6czOzazfCUFBsG8fPPigOXkFBhqPkadePVi9Gvr0caw57PffD4sWwfPPO94cdn//3HvLIyLMmcMeEmI8BuQ%2BHvKVV2D2bHPmsA8dajxGHje33PxOnzZnDvsXXxiPAbmPh/zLX2DdOsebw161au6NokuWmDOHffx44zFum1nPQM3PjDu%2B7xIl6/JEREREROQuo6fEiIiIiIh9lbApLGZTwf4nER4eTvgN3lnhDUd9RxQRERERuSEV7CIiIiJiX%2BqwG6KCXURERETsSwW7ITp7IiIiIiIOTB12EREREbEvddgN0dkTEREREXFg6rCLiIiIiH2pw26ICnYRERERsS8V7Ibo7ImIiIiIODB12EVERETEvtRhN0QFu4jJnLCYFisI2A80ZT8HDMay4GRCRnlyM9tPUzCcmdlMzi3HeIjcOLl57ctpCjkm5OXcxHgMa6x6wCpWOz8JzjHG42V7Go8BkH0/8A6Lsp%2BF7KPG4%2BWkGY%2BRxxIArGC55WnIiTUeLzvYeAyAnOrAq7yS83fI/sV4vIyXjMfI4%2BQO3Itf5gnISDcc7vmMLwzHACCzMtCXv2T%2BBzLOGo/nesV4jDwuVYBnGOSyFFwTTQg41oQYcieoYBcRERER%2B1KH3RAV7CIiIiJiXyrYDdHZExERERFxYOqwi4iIiIh9qcNuiM6eiIiIiIgDU4ddREREROxLHXZDVLCLiIiIiH2pYDdEZ09ERERExIGpwy4iIiIi9qUOuyE6eyIiIiIiDkwddhERERGxLwfssJ86dYqoqCgOHjxImTJl6Ny5M6NGjcLFxcVmu2eeeYa9e/fajGVnZ9O9e3emT5/OvHnzePvtt3F1/b2sdnd3Z9%2B%2BfablqoJdREREROzLAQv2YcOGERgYyJw5c7hw4QLPPfcclSpVYuDAgTbbLV261ObztLQ0unTpQteuXQFISUmhV69eTJkyxW65Ot7ZExERERGxo%2BjoaGJjYxk1ahTly5enVq1aDBgwgDVr1tx03/nz5xMYGEjr1q2B3ILdy8vLrvmqwy4iIiIi9mWHDntSUhJnz561GatcuTK%2Bvr433ffw4cP4%2BfnZFNoNGjQgLi6OK1euUK5cuUL3S0hI4P3332fDhg3WsZSUFH799Ve6devGmTNnCAgIYMyYMQQGBt7mkRWkDnsJFRYWVqyrSBERERHDnJ1N/1i9ejXh4eE2H6tXry5WOhcvXsTT09NmLK94T05OLnK/JUuW8Oijj%2BLn52cdy7tIWLhwIVu3biUwMJBnnnmGCxcu3MaJKpw67HdIaGgogwYN4sknn7QZX7VqFUuWLGHr1q12ff3PP//crvFvx7Zt23jnnXc4evQomZmZ%2BPr60qNHD1544QWcnJzudHoiIiLiQPr06UNoaKjNWOXKlW87nsViASiy5khJSWHt2rWsW7fOZvz6ueuvvvoqGzZs4Msvv%2BSJJ5647XzyU8EuDuHAgQMMHz6cv/3tb3Tq1Ak3NzfrmLOzM88///ydTlFERERulx2mxPj6%2BhZr%2BkthfHx8CnTSL126hJOTExUqVCh0ny%2B//JJ77rkHf3//G8Z2cXHhnnvuISkp6bZyK4ymxDiw6Oho%2BvXrx4MPPkjr1q2JiooiKysLgPXr1/Pwww%2BzZs0a2rZtS%2BPGjXn99det68eMGcPYsWOJioqiadOmtGzZkpUrV1pjh4aGsmrVKuu2U6ZMYfr06bRo0YLg4GAWL15s3fbixYuMGjWKNm3aEBQUxLBhw7h48SKQ%2B1ijadOm0aZNG5o0aUL37t3ZtWsXAKmpqbz22msEBwcTFBRE3759%2BfHHHws91r1791K9enW6detG6dKlcXFx4cEHH2TevHk0b97cut3HH3/Mww8/TJMmTejbty9HjhyxrtuyZQuPP/44QUFBdOnShRUrVljXjRkzhtdff53%2B/fsTFhZ20%2BMSERGRP6/AwEASEhJspq1ER0dTt25dypYtW%2Bg%2BW7ZsoV27djZjFouFmTNnEhsbax3LzMzk5MmT1KhRw7R81WF3YCNGjKBr1668//77JCQk0KdPHwICAujTpw8AiYmJREdH88UXX5CQkMDTTz/NypUriYiIAOCzzz5j7NixfPvtt3z11VcMGTKEZs2aUa9evQKvtXHjRkaPHs3OnTv573//S2RkJD169MDX15cxY8bg4uLChg0bcHV1ZeLEiYwcOZKlS5eyceNGNm3axNq1a/H19WXjxo289tprbN%2B%2BneXLlxMbG8tnn31GuXLlWLp0KePHjy/wpySA%2B%2B67j7i4ONasWUP37t1xc3MDoFmzZtZtDh06xKRJk3j77bdp1qwZ77zzDi%2B%2B%2BCJbtmzh2LFjDB8%2BnH/84x889NBD7Nmzh%2Beff55atWrx0EMPAblXxtOnT7d%2BfqPjKq7CbnipXbsy3t63d8V/vbz/qkL%2By25DkBlBcpmbmLkcNTez8woIMCcOwL332i6NKuKX3S2rWdN2aVRGhjlxAGrVsl0aVb26OXHyuo232XUswN3dnDgA136uW5dGGZj6YCOvm1pEV/WWmfX1D1Cxou3ybuZgj3Vs0KABjRo1Yvbs2YwdO5bExESWLVvGM888A0Dnzp2ZOnUqDz74oHWfH3/8kRYtWtjEcXJyIj4%2BnqioKObMmUO5cuWYN28ebm5udOrUybR8VbDfQVOnTmXatGk2Yzk5OVSpUgWAjz76CDc3N5ydnalevTpBQUEcPnzYum16ejovv/wypUuXpk6dOnTt2pXt27dbC/Zq1arRu3dvADp16kT9%2BvXZtm1boQW7n58fPXv2BOBeF/R9AAAgAElEQVSxxx5j3LhxnDhxAhcXF7Zt28amTZvw9vYGYNSoUbRv356zZ8%2BSkpKCi4sLHh4eODs7061bN7p06YKzs7PNOldXVwYNGsSgQYMKPRcdO3Zk0KBBTJ48mWnTptGkSRNCQkLo0qWL9caOjz76iJCQEIKDgwEYMGAAtWrVIiMjg3Xr1hESEmL95mjdujUdOnTgiy%2B%2BsBbofn5%2BdOjQAYDz58/f8LiKOwdu9erVvPXWWzZjw4cPYfjwocXav7j%2B/W8zouw3I4gtcxKzD0fNzVHzApg%2B/U5nULgJE%2B50BkWz43OXDbn2e8AhVatmThyzLjDzXPvrq0Pq3v1OZ2CcgxXsAPPmzWPSpEmEhoZSvnx5evToQb9%2B/QCIi4sjNTXVZvuzZ88WOgXnb3/7G9OnTyc8PJzMzEwaNmzIihUrKFOmjGm5qmC/gyIjI4u86RRg165dLFiwgPj4eLKyssjKyqJ7vm9aLy8vfHx8rJ9Xq1aNb775xvp57dq1bWJXq1atyPlU1fN1d0qXLg3kvjHAqVOnAOjRo4fN9i4uLvz666906dKF9evX06FDB2uR3K1bN9zc3HjyySfZsmULDz30EG3atKFTp06EhYUVejOHk5MTI0eOZODAgezcuZO9e/fyn//8h3/84x9MmzaN7t27c%2BrUKWrm67R5eHjw2GOPAfDLL79Qp04dm5j33Xcf0dHRNsef52bHVdyCvbAbXrp1q8zy5cXa/abq1cut7/r1g5gYY7H209ScpMDcxMzmqLmZnZfZHfbp02HsWDhxwng8MzvsEyZAVBScPGk8ntkd9ilTYPx4iI83Hq9hQ%2BMxILezHhEBy5eDGfNnTbphDsjtrFerBgkJ5vxffPut8RiQ21kPC4PPP4cbPB2k2K4r8gypWDG3WP/4Yzh/3ni8a91jyVW1alUWLlxY6Lr8U1zyHDp0qNBtvb29mTFjhqm5XU8Fu4M6fvw4I0aMYPTo0fTu3RsPDw%2BGDRtms012drbN5xaLxaYYvtn6/JyLuPL18PAA4KuvviryJox169axb98%2Btm7dypw5c1i5ciUffPABNWvW5NNPP2XXrl1s27aN8ePH89///pe33367yOP28vLiscce47HHHsNisTBhwgT%2B/ve/0717d5ycnKx3cBfm%2BmOzWCxkZmZaP8//lsHFOa7iKOyGl7i42w5XpJgYOHDAaBTDAQoyJzH7cNTczMrrBt8Lt%2B3ECXMuJq57VJphJ0/C0aPG46SlGY9xvfh4KOQX%2By0zazpGnqQk%2BOUX43HS043HuF5Ghjlxr5uOaFhysjkxr1wxHuN6589DYqL5cf9IDthhv5vo7DmoI0eO4ObmRv/%2B/fHw8CAnJ4eY636RXrlyxeZmidOnT1un08DvXeT866tWrXpLefj5%2BeHs7FzgZorEaz84MjIyuHr1Ks2bN2f06NF88MEHHD58mJiYGFJTU8nKyqJdu3ZMnDiRBQsWsHXr1kKfb/rOO%2B%2Bwbds2mzEnJyfatGnD1atXsVgs1KhRg7h81XBGRgaLFy/mwoUL1KxZk%2BPHj9vsHxcXV%2BQNHzc7LhERERFHoYLdQfn5%2BZGWlkZMTAyXLl1ixowZlC1b1mZKi5ubG/PmzSM1NZVjx46xceNGm%2BkZp0%2BfZt26dWRkZPD5558TGxtL%2B/btbymP8uXL89hjjzFr1izOnDlDWloac%2BbM4ZlnnsFisTB16lRefvllkpOTsVgsREdHU6pUKapVq8bQoUOJioriypUrZGVlcfjwYby9vfHy8iIxMZHOnTtbLypSU1OJjIxkx44dpKWlkZOTQ2xsLIsXL%2BbRRx/FycmJ8PBwvvvuO7Zt20ZmZibLly9n5cqVlCtXjkcffdTayc/KyuKbb75h27ZtBaa8FPe4RERExER2eOOkkkRTYhxUUFAQf/3rX3nqqacoW7YsgwcPpn379gwZMoRXXnmF1q1b4%2BnpSf369QkLC%2BPy5cs8/vjj9O3b1xqjXbt2HDx4kGnTplGqVCkmTZp002eHFmb8%2BPFMmTLFejNpkyZNWLBgAU5OTrzyyitMnDiRRx55hKysLGrVqsWbb76Jj48PU6ZMYfz48dZHIPn7%2BzN//nycnZ3JzMwkLi6OjGvzGIcOHYqXlxdz587l1KlTZGRkULVqVR599FEGDx4MQP369Zk1axZTpkzhwoUL1KtXj0WLFuHm5kaTJk2YOnUqs2fPZuTIkVSvXp1Zs2YVuJu7uMclIiIiJiphBbbZVLDfIUW9k%2BmTTz5pvRE1MjKSyMhIm/Xff/89kPscdsi96THvMY/Xc3Z2ZvLkyUyePPmGr//GG28UWJ9/qoi3tzezZ88u9DW8vLx48803C11XrVo1/vWvfxW6rnr16jav4eTkREREhPUJN0Xp3LkznTt3LnRdz549rU%2B6uV5hx3ij4xIRERFxFCrYRURERMS%2B1GE3RGdPRERERMSBqcN%2BlwoPDyc8PLzI9YVNARERERG5I9RhN0QFu4iIiIjYlwp2Q3T2REREREQcmDrsIiIiImJf6rAborMnIiIiIuLA1GEXEREREftSh90QFewiIiIiYl8q2A3R2RMRERERcWDqsIuIiIiIfanDbojOnoiIiIiIA1OHXURESgYzO3xOTr8v1TmU/LKzzYuVk/P70sy4d4K%2BTwxRwS4iIiIi9qWC3RCdPRERERERB6YOu4iIiIjYlzrshujsiYiIiIg4MHXYRURERMS%2B1GE3RAW7iIiIiNiXCnZDdPZERERERByYOuwiIiIiYl/qsBuisyciIiIi4sDUYRcRERER%2B1KH3RAV7CIiIiJiXyrYDdHZExERERFxYOqwi4iIiIh9qcNuiM6eWIWGhrJq1apC1%2B3du5eGDRuSkZFxwxjfffcdAQEBpKen2yNFU3IE%2B%2BcpIiIiYhYV7H9S4eHhzJw502YsJiaGgIAANm/ebDO%2BcuVKWrVqhcViKTJe8%2BbNiY6Oxs3NzS75muFuyFFERKREcnY2/6MEKVlHW4K0bduWXbt22Yzt2rWLMmXKsHPnTpvx3bt307p1a5ycnP7IFEVERKSkUMFuSMk62hKkbdu2xMTEcP78eevYzp07efzxx9m9e7d1LCcnhz179tC2bVsArl69yuDBg2nSpAlhYWF89913QMEpJIsWLaJ9%2B/Y0btyYsLAwNmzYUGgehw4dolmzZtaLhJiYGCIiInjwwQcJDg5mzpw5ZGdnA7B%2B/Xq6du3KjBkzaNy4MQkJCYXGLG6OBw8eJCwsjMaNG/PCCy/w/vvvExoaahNr3759hIWFERQUxAsvvMDly5dv7USLiIiI2JluOv2TatKkCeXKlWP37t107dqVjIwMvv/%2Be8aNG8dHH31EQkIC1apV49ChQ6SkpNCmTRvefPNN1q5dy8yZM5kzZw6RkZFMnTqVTz75xCb2999/z/z581m3bh1169Zlz549vPjii7Ru3dpmu8TERF566SXGjh1L69atSU1N5dlnn6Vfv34sWbLEur5MmTK88MILACQlJeHm5sa%2BfftwdS38y7M4OWZnZzNkyBDCwsIYOXIk3377LZGRkbi7u9tst3HjRtasWcOlS5fo3bs3a9euZcCAAcU%2Bz0lJSZw9e9ZmrHbtynh7%2BxY7xo3Uq2e7NCbIjCC5zE3MXI6am9l5BQSYEwfg3nttl0aVLWtOnJo1bZdGZWaaEwegVi3bpVHVq5sTx9fXdmnUdT8zDcmbrmjWtMXKlc2JU6GC7dKo0qXNiQNQsaLt8m5WwjriZlPB/ifl6upKSEgIO3fupGvXruzfvx8fHx/q1KlDUFAQu3btolevXuzatYsHHngAHx8fADp27EijRo0AeOSRR/j0008LxE5JSQGgTJkyODk50bJlS/bt24dzvm/G9PR0Bg8eTM%2BePenVqxcAO3bswGKx8NJLLwFQo0YNBg4cyKJFi6wF%2B%2BXLlxk0aBClSpUq8tiKk%2BMPP/xAUlISgwcPpnTp0nTo0IHmzZtz8OBBm%2B0GDhyIp6cnnp6eNGnShLi4uOKd4GtWr17NW2%2B9ZTM2fPgQhg8fektxbubf/zYjyn4zgtgyJzH7cNTcHDUvgOnT73QGhZsw4U5nULSoqDudQeEiIu50BkWrVs2cOGZdYOYJCzM3npl69rzTGRingt0QFex/Ym3btmX%2B/PlA7vz1Vq1aARASEsLu3butBXvedBgAPz8/67/d3d3JLKQj1apVK1q0aEFYWBjBwcG0b9%2BeHj16UK5cOes248aN49y5cwwfPtw6durUKc6fP0/Dhg2tYxaLxeYmUU9PT5s4hSlOjomJiZQrVw5vb2/rWP369QsU7PljeXh4FOsJM/n16dOnwDSbbt0qs3z5LYUpUr16ufVdv34QE2Ms1n6ampMUmJuY2Rw1N7PzMrvDPn06jB0LJ04Yj2dmh33ChNyi%2BORJ4/HM7rBHReXmFx9vPF5goPEYkNtZj4iA5cshKcl4vCeeMB4jj5tbbrGekAC3%2BLO2UN9%2BazwG5HbWw8Lg888hOdl4vCtXjMfIU7FibrH%2B4YeQb4rrbXv2WeMx5I5Qwf4n1q5dO8aPH8/x48fZvXu3dapHSEgIK1asIDU1lQMHDtgU1cW58dTd3Z133nmHQ4cOsXXrVpYtW8bSpUv58MMPrdukpaWRlZXFe%2B%2B9R8S1To%2B7uzv3339/gekr%2BRU1DSa/4uRosVhwcXG56X5Gb7T19fXF97o/Pd9ik75YYmLgwAGjUQwHKMicxOzDUXMzK68bPNXptp04Yc7FhKen8Rj5nTwJR48aj2NGkXi9%2BHj46SfjcfI1F0yRlAS//GI8jj0efZuRYU7c66YjGpacbE7MS5eMx7je%2BfNw5oz5cf9I6rAborP3J1a1alXq1q3L119/zZEjRwgODgbggQceID09nQ8//BAPDw%2BaNGlyS3GzsrJISUkhMDCQYcOG8cknn5CcnMy3%2Bbod8%2BbNY%2BrUqcyZM4fjx48DULNmTU6dOsXVq1et2yUnJ3PFzG7ENZUqVSIlJcUmdmxsrOmvIyIiImJvKtj/5Nq2bcvKlSupU6eOdZ66i4sLLVq0YPny5YSEhBToRN/Mv/71LyIiIjhz7Wo/NjaWzMxMaua7MczFxYX27dvTpUsXRo8eTVZWFm3atMHHx4cZM2Zw5coVzp49y/Dhw5k1a1aRr7V582b69et3y8fdpEkTPD09WbJkCRkZGWzfvp29e/fechwRERExgR7raEjJOtoSqF27dpw8eZKQkBCb8ZCQEOLj423mrxfXgAEDaNSoET169KBx48aMHTuWiRMnUr9%2B/QLbjhs3jgsXLrBw4UJKlSrFggUL%2BPnnn2ndujU9evTg3nvvZfTo0UW%2B1uXLl4m/jfmhbm5uzJo1i88%2B%2B4zg4GA%2B%2BeQTIiIi9Kx5ERGRO0EFuyGaw/4n16pVq0KngvTv35/%2B/fvbjG3dutXm83bt2ln3bdmypU2cyZMnM3ny5AJxr9%2BuXLlyNnHr1avH%2B%2B%2B/X2iu4eHhhIeH33DsVnJs1aoVmzZtsv4FYd68eVSpUqXQbQHmzp1baF4iIiLy53Pq1CmioqI4ePAgZcqUoXPnzowaNarAzIN169bx%2BuuvF3iC3bZt26hUqRLp6elMnTqVHTt2kJGRQfPmzZk8ebJ1ZoMZStbliZQYFouFzp07M3fuXDIzM4mPj%2Bejjz7ioYceutOpiYiIlDwO2GEfNmwYVatWZcuWLbz77rts3bqVd999t8B2ly9fplWrVkRHR9t8VKpUCYDZs2fz448/snr1aj7//HOcnJwYO3as4fzyU8Euf0pOTk7MnTuX77//nhYtWtC/f386dux4S2%2BKJCIiIn9O0dHRxMbGMmrUKMqXL0%2BtWrUYMGAAa9asKbDtpUuX8PLyKjROdnY269ev56WXXuKee%2B7By8uLl19%2BmR07dpCYmGhavpoSI39agYGBrFq16k6nISIiInaYc17Yu41Xrly5wOOWC3P48GH8/PxsCvEGDRoQFxfHlStXbN4TJiUlhfj4eJ544gni4uKoVasWI0eOpHXr1sTHx3P58mUeeOAB6/b33XcfHh4eHD582DoV1ygV7CIiIiJiX3Yo2At7t/EhQ4YwdOjN32384sWLeF73nhF5xXtycrJNwe7t7Y2vry%2BjRo2iWrVqrF69mueff56PP/6YS9eeu399LE9PT5LNeCOua1Swi4iIiMhdp7B3G69cufJtx7Nce0O6658od/0FwIABA9i4cSOffPIJ7dq1KzKWmU%2BmU8EuIiIiIvZlhw57Ye82Xlw%2BPj4FOuCXLl3CycmJChUq3HT/6tWrk5SUZH0STHJyMmXKlLGuT0lJ0VNiRERERERuV2BgIAkJCVy4cME6Fh0dTd26dSlbtqzNtosXL%2Ba7776zGTt%2B/Dg1atSgRo0aeHl5cfjwYeu6n376iYyMDAIDA03LVwW7iIiIiNiXgz3WsUGDBjRq1IjZs2dz5coVjh8/zrJly3jyyScB6Ny5M/v27QPg3LlzTJ48mbi4ONLT01m2bBmnTp0iPDwcFxcXevfuzcKFC/n1119JTk5mzpw5PPzww9bHPppBU2JERERExL4c8J1J582bx6RJkwgNDaV8%2BfL06NGDfv36ARAXF0dqaioAr7zyChaLhaeffprU1FT8/f1Zvny59Qkww4YNIzU1lT59%2BpCVlUWrVq2YOHGiqbmqYBcRERGREqdq1aosXLiw0HX53w3d3d2d119/nddff73Qbd3c3JgwYQITJkywS56ggl1ERERE7M0BO%2Bx3E509EREREREHpg67iIiIiNiXOuyGqGAXMZmZP5PyYplwQzzkGE5H5O6WY%2BI3wbU3WMFiMTeuFJ9Z5z0vTk6OOTFdXIzHyJP/l4CZce8EFeyG6OyJiIiIiDgwddhFRERExL7UYTdEZ09ERERExIGpwy4iIiIi9qUOuyEq2EVERETEvlSwG6KzJyIiIiLiwNRhFxERERH7UofdEJ09EREREREHpg67iIiIiNiXOuyGqGAXEREREftSwW6Izp6IiIiIiANTh11ERERE7EsddkN09kREREREHJgKdrmp0NBQVq1aVei6vXv30rBhQzIyMm4Y47vvviMgIID09HR7pEhAQABfffWVXWKLiIiIQc7O5n%2BUICXraIXw8HBmzpxpMxYTE0NAQACbN2%2B2GV%2B5ciWtWrXCYrEUGa958%2BZER0fj5uZml3xFRETkT0AFuyEl62iFtm3bsmvXLpuxXbt2UaZMGXbu3Gkzvnv3blq3bo2Tk9MfmaKIiIiI5KOCvYRp27YtMTExnD9/3jq2c%2BdOHn/8cXbv3m0dy8nJYc%2BePbRt2xaAq1evMnjwYJo0aUJYWBjfffcdUHCqy6JFi2jfvj2NGzcmLCyMDRs2FJrHoUOHaNasmfUiISYmhoiICB588EGCg4OZM2cO2dnZAKxfv56uXbsyY8YMGjduTEJCwg2PMT09nalTp9K%2BfXtatGhBREQER44cAeChhx5i27Zt1m379%2B/PE088Yf18z549tGzZ8oZ/VRAREZFbpA67IXpKTAnTpEkTypUrx%2B7du%2BnatSsZGRl8//33jBs3jo8%2B%2BoiEhASqVavGoUOHSElJoU2bNrz55pusXbuWmTNnMmfOHCIjI5k6dSqffPKJTezvv/%2Be%2BfPns27dOurWrcuePXt48cUXad26tc12iYmJvPTSS4wdO5bWrVuTmprKs88%2BS79%2B/ViyZIl1fZkyZXjhhRcASEpKws3NjX379uHqeuMv2zlz5rB3717ef/99KlasyIwZM3j%2B%2BefZsmULLVu2ZP/%2B/XTo0IGMjAxOnDiBs7Mzv/32G6VLl2bfvn0EBwcX%2B68KSUlJnD171masdu3KeHv7Fmv/mwkIsF0akhNkQpBr6tWzXToSR83N7LxM%2BaK45t57bZdGlS1rTpyaNW2XRt3kXptbUquW7dKo6tXNiePra7s0yt3dnDgAeVMnzZpCWbmyOXEqVLBdGpWWZk4cgIoVbZdSYqlgL2FcXV0JCQlh586ddO3alf379%2BPj40OdOnUICgpi165d9OrVi127dvHAAw/g4%2BMDQMeOHWnUqBEAjzzyCJ9%2B%2BmmB2CkpKQCUKVMGJycnWrZsyb59%2B3DOdxWcnp7O4MGD6dmzJ7169QJgx44dWCwWXnrpJQBq1KjBwIEDWbRokbVgv3z5MoMGDaJUqVI3PcZ169YRFRVF9Wu/AEeOHMnq1as5ePAgLVu25MMPPwQgOjqaunXr4ubmxg8//EBwcDDff/89Dz/8cLHP5%2BrVq3nrrbdsxoYOHcLw4UOLHaM4Vq40I8p%2BM4LY%2Bve/zY9pFkfNzVHzApg%2B/U5nULgJE%2B50BkWbMuVOZ1C4iIg7nUHRqlUzJ45ZF5h5Hn3U3Hhm6t79TmdgXAnriJtNBXsJ1LZtW%2BbPnw/kzl9v1aoVACEhIezevdtasOdNhwHw8/Oz/tvd3Z3MzMwCcVu1akWLFi0ICwsjODiY9u3b06NHD8qVK2fdZty4cZw7d47hw4dbx06dOsX58%2Bdp2LChdcxisdjcyOrp6WkTpyiXLl3i8uXL3HfffTb7VqpUiV9//ZXg4GCioqLIzMxk3759BAUF4ebmxvfff0/z5s05cOAAE26hOOjTpw%2BhoaE2Y927V%2Ba994od4oYCAnKL9b/%2BFWJjjcXal9PUnKQgt0v8739Dv34QE2NeXDM4am5m52V2h336dBg7Fk6cMB7PzA77hAkQFQUnTxqPZ3aHfcoUGD8e4uONx8v3888QX9/cYn35ckhKMh4v35RBw9zccov1hARz/i%2Buux/rtlWokFusf/opJCcbj2d2h717d/j4Y8g3lfW2PfOM8Ri3SwW7ISrYS6B27doxfvx4jh8/zu7duxkwYACQW7CvWLGC1NRUDhw4YFNUF2eKiLu7O%2B%2B88w6HDh1i69atLFu2jKVLl1o72gBpaWlkZWXx3nvvEXGtA%2BTu7s79999fYIpNfjebBnO96/O1WCxkZmbi5%2BdHpUqVOHLkCHv37mXAgAG4urqyePFijhw5gqenJ7Vu4U/cvr6%2B%2BF73p%2Be4uFtKtVhiY%2BHAAYNBcowGKERMjAmJ2Ymj5mZWXva4z%2BLECXMuJjw9jcfI7%2BRJOHrUeBwzC6k88fHGr6bBvOkYeZKS4JdfjMexx6N4MzLMiXvddETDkpPNiZmaajzG9c6fh8RE8%2BPKXUMFewlUtWpV6taty9dff82RI0cIDg4G4IEHHiA9PZ0PP/wQDw8PmjRpcktxs7KySE1NJTAwkMDAQJ599llat27Nt99%2Bi7e3NwDz5s1jz549DB8%2BnDZt2lCnTh1q1qzJqVOnuHr1KmWvdeaSk5MpVapUsbrq%2BXl5eeHl5cXx48cJuNaBTElJ4cKFC9S8Ng82ODiYffv2cfDgQZo0aYKzszOHDh1i7969hISE3NLriYiISDGow26Izl4J1bZtW1auXEmdOnWs89RdXFxo0aIFy5cvJyQkBBcXl1uK%2Ba9//YuIiAjOnDkDQGxsLJmZmdZCOe812rdvT5cuXRg9ejRZWVm0adMGHx8fZsyYwZUrVzh79izDhw9n1qxZRb7W5s2b6devX6HrHn30URYvXsyZM2dITU1l1qxZVK9enaCg3JsuW7ZsyerVq6levTply5aldOnS%2BPn5sXbtWhXsIiIi4nBUsJdQ7dq14%2BTJkwUK1JCQEOLj423mrxfXgAEDaNSoET169KBx48aMHTuWiRMnUr9%2B/QLbjhs3jgsXLrBw4UJKlSrFggUL%2BPnnn2ndujU9evTg3nvvZfTo0UW%2B1uXLl4kvYt7o6NGjqV%2B/Pk888QQdOnQgKSmJZcuWWS9AgoODOXHiBE2b/j6nu2nTphw7dsz61wYRERExkR7raIimxJRQrVq1IraQeZf9%2B/enf//%2BNmNbt261%2Bbxdu3bWfVu2bGkTZ/LkyUyePLlA3Ou3K1eunE3cevXq8f777xeaa3h4OOHh4Tccyx%2B7TJkyTL/B0y58fX0LHHtkZCSRkZFF7iMiIiIGlLAC22w6eyIiIiIiDkwddhERERGxL3XYDVHBLiIiIiL2pYLdEJ09EREREREHpg67iIiIiNiXOuyG6OyJiIiIiDgwddhFRERExL7UYTdEBbuIiIiI2JcKdkN09kREREREHJg67CIiIiJiX%2BqwG6KzJyIiIiLiwNRhFxERERH7UofdEBXsIiYLDDQvVp06vy8zMw0Gc25iOB%2BrgIDflxaLeXHN4Ki5mZ3X//5nPEYeJ6fcZWysOXEff9x4DIDy5X9fensbj/fTT8Zj5Ll69fdlSorxeE2bGo8B4OOTu6xXD3x9DYfLvC/AcIz8SgGZfveaE8t3vylxqFAhd%2Bnj8/v3ghHh4cZj5MnL56mnHOvn2e1QwW6Izp6IiIiIlDinTp1i0KBBtGzZkg4dOjBjxgyys7ML3XbVqlWEhYURFBREt27d2LJli3XdvHnzqF%2B/Pg0bNrR%2BPPjgg6bmqg67iIiIiNiXA3bYhw0bRmBgIHPmzOHChQs899xzVKpUiYEDB9pst2XLFmbPns2iRYto3Lgxn3zyCS%2B//DKffvopNWrUICUlhV69ejFlyhS75ep4Z09ERERExI6io6OJjY1l1KhRlC9fnlq1ajFgwADWrFlTYNvU1FRGjhxJs2bNcHV1pWfPnpQtW5b/XZtCmJKSgpeXl13zVYddREREROzLDh32pKQkzp49azNWuXJlfItx/8bhw4fx8/OzKbQbNGhAXFwcV65coVy5ctbxx6%2B7LyclJYWrV69SpUoV6%2Be//vor3bp148yZMwQEBDBmzBgCTbypTQW7iIiIiNiXHQr21atX89Zbb9mMDRkyhKFDh95034sXL%2BLp6Wkzlle8Jycn2xTs%2BVksFiIjI2ncuDEtWrQAci8SypYtyxtvvIGnpyfz58/nmWee4bPPPsMn70Zwg1Swi4iIiMhdp0%2BfPoSGhtqMVa5c%2BbbjWa49icepiKcFZWZmMmbMGI4dO8aKFSus49fPXX/11VfZsGEDX375JU888YU9WgoAACAASURBVMRt55OfCnYRERERsS87dNh9fX2LNf2lMD4%2BPiQnJ9uMXbp0CScnJyrkPeozn7S0NF566SV%2B%2B%2B03Vq5cWeg2eVxcXLjnnntISkq6rdwKo5tORURERKRECQwMJCEhgQsXLljHoqOjqVu3LmXLlrXZ1mKxMGLECFxdXXn33XdtinWLxcLMmTOJjY21jmVmZnLy5Elq1KhhWr4q2EVERETEvpydzf8woEGDBjRq1IjZs2dz5coVjh8/zrJly3jyyScB6Ny5M/v27QPgk08%2B4dixY/zjH//A3d3dJo6TkxPx8fFERUWRmJjI1atXmTVrFm5ubnTq1MlQjvlpSoyIiIiI2JcDPod93rx5TJo0idDQUMqXL0%2BPHj3o168fAHFxcaSmpgKwbt06Tp8%2Bbb3JNE/37t2ZOnUqf/vb35g%2BfTrh4eFkZmbSsGFDVqxYQZkyZUzLVQW7iIiIiJQ4VatWZeHChYWuyz/FZfny5TeM4%2B3tzYwZM0zN7Xoq2EVERETEvhyww3430dkTEREREXFgKtjlTyUuLo6GDRty%2BvTpO52KiIiI5HGwm07vNg4xJSY0NJTExEScCzn506dPp2vXrncgqz/epk2beP/994mNjSUnJwdfX18eeeQRXnzxReuNC2vWrCEyMhI3NzcASpUqhb%2B/P48//jh9%2BvTBxcWl0O0Aa7yhQ4eaeiPErcjOzua9995j/fr1nDx5End3dwICAhg4cCAPPfSQ4fi1a9cmOjra%2Bvk333xDxYoVqV%2B/vuHYIiIicptKWIFtNoco2AEiIyOtj9IpiebMmcPq1auZNGkSHTt2BOCHH34gKiqKvXv3snLlSmsxXqVKFb766isALvw/e/cen3P9/3H8cW3YDHNqc9jMqUxkrJDTb2rKYZilHPvKF0XkNHwlYTJGhXLMoXKoL1/kkNHXqTl9pVIpixCtbMLI7GCYHX5/zK5ctjE%2BnyuXPO%2B3226fXZ/PdT2v9/XZ4Xpdr%2Bv9%2BVznzxMdHc3kyZPZtWsXc%2BfOtb7wuf56WVlZHDt2jNDQUC5fvkxYWNhdeJQwbNgwoqOjmTRpEg0bNiQlJYVPP/2UV155hSlTppj%2B4uz9998nODhYBbuIiIjcs%2B6JlzuXLl1izJgx1K9fn8cff5yxY8eSlpYGwJUrV5g4cSJPPPEEDRs2pGfPnvz000/W2/r6%2BrJlyxa6detGvXr1aNeuHYcOHbJu/%2Babb%2BjcuTOPPvoorVq14p133iEzMxOAWbNm8fLLLzNr1iwaNGhAs2bN2Lp1K2vWrKF58%2BY0aNCA9957D4DRo0czaNAgm3GvW7eOZs2akZGRcdPHd%2BzYMRYsWMC7775LmzZtKFKkCEWKFKFBgwbMmzePp59%2BmkuXLuV52zJlytC8eXPmz5/P3r17Wb9%2BfZ7Xs1gsPPTQQ/Tp04etW7fmeZ3Q0FDCwsIYO3Ys/v7%2BNG7cmJUrV1q3p6amMm7cOJo3b069evXo06cPp0%2Bftv4cfH19WbJkCU2bNuX999/Plb99%2B3a2bt3K%2B%2B%2B/T%2BPGjXF2dqZkyZK88MILjBs3juTkZCC7Cz9lyhQCAgLw9/fnueee44cffrDmNG3alI8%2B%2BogePXrg5%2BdHy5YtOXDgAADHjx/H19eXuLg4evfuzd69exk7diwvvfQSAN9//z1du3blscceo2nTpkRERFh/3iIiImInmhJjiMN02G9m%2BvTpHD9%2BnC1btgDQt29fZs%2BezbBhw5g%2BfTr79u3j448/pmzZsrz55pv069ePbdu2WaeDvP/%2B%2B0yZMoUKFSowcOBA3nnnHRYuXMi5c%2Bfo06cPI0eOpFOnThw5coSXXnoJT09Pnn/%2BeQD2799P8%2BbN2bNnD%2BHh4bzxxhs8/fTTbNmyhQ0bNjB27Fg6d%2B5MSEgIffr0ISkpCXd3dwC2bNlC27ZtrZ3x/Gzbto1q1arRuHHjXNu8vLzo06fPLfdR5cqVCQ4OZtOmTYSEhOR7vYyMjJuOJzIyknHjxjFu3Di2bt3KsGHDeOyxx6hevToRERH8%2BuuvfPLJJxQvXpxp06bRt29fmxcJO3bsIDIyMs%2BP7N2yZQtNmzalWrVqubZ17tzZ%2Bv0nn3zCf//7X1atWkXZsmWZNm0aw4YN4/PPP7deZ9GiRcyYMYOHHnqIadOm8corr7Bz506bzA8//JCmTZsyfPhwOnbsSGZmJoMHD6Zr164sW7aM2NhYOnfuTK1atW66z24mPj6es2fP2qwrV86D0qXv7KOSb1S1qu3SEKeaJoRcU6WK7dKROOrYzB6XxWJODkDNmrZLo/L4G78j3t62S6MKmfiUZ%2BofJ1CmjDk5JUvaLv/ObvLR8Lfl2nO2dWmUmX%2BbOVlmZso9yWEK9okTJxIREWGzzs3NjS%2B//JJ169YxefJkylz7hxYREUFiYiKQfTL7CRMm4H3tH/qwYcNYsWIFBw4coH79%2BkD2ie1zisTAwEA%2B%2BOADADZs2EDFihWtxXmdOnUICQlh69at1nWFCxe2TtVp3rw5K1eupG/fvri4uNCiRQtGjx5NbGwsDRo0wMPDg82bN9OpUydSU1PZs2cPy5Ytu%2BVjj42NxcfHx9D%2Bg%2Bz5299//32e2zIzMzl27BiLFi0iKCgo34wqVapYi9egoCBmz57Nzp07qVSpEuvXr2fhwoV4eHgAMHz4cOrXr8/hw4epeu1JKygoyPpzulFcXFyBpqY8%2B%2ByztGnTxvrCp02bNnz44YckJiZS8tqTUMuWLalTpw4AL7/8MkuXLuXQoUMULVo031wnJyc2btyIq6srTk5OVK5cGT8/P3788cc7LthXrFjB7NmzbdYNGDCQIUMG5XOLOzNlihkpy80IsTV5svmZZnHUsTnquAAK8P/qrhg%2B/G6PIH9Tp97tEeQtIMCUmMKmpNyQaVZo69YmBV3TpIm5eWYybafdRfdZR9xsDlOw5zeH/fz58yQlJeHl5WVdV6NGDQASExNJTk626di6u7vzwAMPcOrUKes67%2Bu6M0WLFuXKlStAdgFZvXp1m/urVq0a27dvt14uX7689fucjn25cuWsWZA9HcRisRAcHExkZCSdOnVi165deHl5Ubt27Vs%2BdovFkmvazGuvvcaGDRuA7GJ70KBBvPzyyzfNSU9Ptzlw98yZM9ai1mKxUL58eYKCghgwYEC%2BGVVv6BZVrFiR%2BPh44uPjuXLlCn369MFywyv933//3Xq7ihUr3nSMt5oeBHDx4kXCw8PZs2ePdZoMYJ0GdeM4y5Yti4uLC/Hx8VSuXPmm2bt372bevHmcOHGCjIwM0tPTqVChwi3HlJ8uXboQGBhosy401IMvvrjjSBtVq2YX66NGQUyMsawVTiYeI1KlSnbh%2Bdpr8Ouv5uWawVHHZva4rvtQD8Nq1swu1rt3h8OHjeeZcAA5kN1ZHz4cpk2DuDjjeSdOGM/IUbVqdrE%2BYoTxP06Af/7TeAZkd9YDAmDXLrjW2DLiauv2JgzqT4ULw9WrJmV9vsmcIHf37GL9iy8gKcl43g3PCYZYLH/utKws43nXnYjiL6eC3RCHKdjzk1Mc3mye8Y0FZFZWFlev%2B49w4/bbuW1eZ67Jax1ASEgI8%2BfP58yZM2zdupXg4OB87/d6VatWZe/evTbrJk%2BezORrnbhu3boVaJ71Tz/9ZPPi5fqDTgvqxoI6KysLi8WCq6srAGvXruWhhx7KdbucF0GFbvKWc5UqVfj5559vOYaxY8cSFxfHypUr8fb25uDBgzz77LMFGufNHD58mBEjRjBu3DieeeYZXFxcbvki6FY8PT3x9LSd/nLmTPaXmWJiTKijnEwoxG7066/mFHj24KhjM2tc%2BbybZsjhw7B/v/GcSpWMZ1wvLg5%2B%2BcV4ztGjxjNuFBMD1x0XdcfOnzeecb3ERPMzHU1Cgrl5SUnmZJpRWOeVaY9cuWc4/Mud0qVL4%2B7uTsx1HYwff/yRNWvWULJkSUqWLMnx48et25KSkjh//nyBppj4%2BPjwyw1PAjExMVS6wyebKlWq4Ofnx/r169mxY0eBz3jSsmVLTp8%2BbZ2jf6OsAvyRHj16lM2bNxs%2By8qJGzpQJ0%2BepFy5cpQtWxY3Nzebj%2BrN2V5QLVu25Ouvv%2BbHH3/Mte3jjz8mNDQUgOjoaJ555hkqVaqExWKxOUg4R2xsrPX7s2fPkpaWZvNuSF4OHjxIiRIl6Nq1Ky4uLqSnp%2Bd6PCIiImIHOujUkHvi0Xbs2JH333%2BfM2fOkJCQwMSJE61Feps2bViwYAGnT58mNTWVqVOn4u3tjb%2B//y1zW7RowYkTJ1ixYgVXr17lwIEDrF27lmeeeeaOx9qhQwfmzZuHr6%2BvzVSct956i7feest6uUePHmzalP12XqVKlRgyZAivvvoqK1euJDU1lczMTI4fP864ceM4ePBgvlNrrl69yrZt2%2BjTpw9t2rSxnhKyINLS0mjdurX1DCuQ/YIlMjKStLQ0NmzYwK%2B//sqTTz6JxWKhS5cuzJo1i19//ZW0tDQWLFhAly5dbKaq3Cz///7v/wgKCqJv375ERUWRnp5OUlISixcvZtq0aXTo0AHIPtD2wIEDpKWlsW/fPrZt2wZkT/HJsXnzZg4ePMjly5eZN28eFStWpGYeB8y5uLhw/PhxkpOT8fLyIiUlhZ9//pmEhAQiIiIoWbIk8fHx%2Be4PERERkbvNYabE5HXQKUC7du144403mDhxIkFBQRQuXJiWLVsyePBgAF599VXCw8Pp1KkTaWlp%2BPv7s2jRoluemQWyC8PZs2czY8YMpkyZgqenJ4MHD77jAxAB2rZtS0RERK7pMDlFYY7ffvvNZn523759qVq1KkuWLOHNN98kPT0dDw8PmjRpwqeffmoz1eXGuelVqlShb9%2B%2B1gNlCyorK4uYmBibU0a2aNGCL7/8krCwMFxcXIiIiLDOCx8yZAipqal06dKFq1evUrt2bRYuXEiRIkWsU2Julf/222%2BzZMkS3nnnHUJDQ3Fzc8PPz49FixZRr149AEaOHMnIkSN5/PHHqV%2B/PlOmTGH48OH06NGDTz75BMg%2Bq8yUKVP44YcfqFChArNmzcpzSkyXLl2YM2cO%2B/btY%2BXKlTz33HN06dIFd3d3Bg8eTPPmzQkNDWX06NGEhYXlGq%2BIiIiY4D7riJvNklWQ%2BRZSYCdOnCAkJISdO3dSokSJuz2c2xIaGoqLiwtTzDklid1cf6pGR1S3rnlZNWvCihXQpYvxac8/ON36XacCq1kTli%2BHbt0cb564o47N7HGZOYfd3x%2B%2B%2Bw4efdScOewFPH7nlqpVg3fegdBQx5vDXqsWrF4Nzz5rzhz2UaOMZ0D26SHbt4fISFPmsF/t3tOEQf3J1INOPzHpzFelS2efcWbTJnPmsJv53GSxZB8ompZmzhx2FxfjGXfKHlNQfX3Nz3RQerljoqSkJMLCwujates9V6yLiIiIiGNSwW6SyMhIAgICKF26dK5PPBURERG5r%2BmgU0McZg77va59%2B/a0b2/u%2BWr/au%2B8887dHkKB7Nmz524PQUREROQvo4JdREREROzrPuuIm00Fu4iIiIjYlwp2Q7T3REREREQcmDrsIiIiImJf6rAbooJdREREROxLBbsh2nsiIiIiIg5MHXYRERERsS912A3R3hMRERERcWDqsIuIiIiIfanDbogKdhERERGxLxXshqhgFzFZ2bLmZZUq9efScG6Gu%2BHxWBUr9ufS3cRcMzjq2MweV3Cw8Ywc1aplL5s3h0qVjOetX288A8DfP3u5cyfs3288r1cv4xk5fHyyl3XqQMmSxvOSkoxnALi4ZC8vXjQls/DlZMMZVk5OULgYhdMuQmam8Twzflfhz7/NcuWgeHHjeSkpxjNyODtDkSKQmgoZGcbzcn4/5J6jgl1ERERE7EsddkO090REREREHJg67CIiIiJiX%2BqwG6KCXURERETsSwW7Idp7IiIiIiIOTB12EREREbEvddgN0d4TEREREXFg6rCLiIiIiH2pw26ICnYRERERsS8V7IZo74mIiIiIODB12EVERETEvtRhN0R7T0RERETEganDLiIiIiL2pQ67Idp78re3b98%2B6tSpQ1paGnFxcfj6%2BnL8%2BPG7PSwREZH7h5OT%2BV/3EXXY5a4JDAzkzJkzON3wR%2Bfh4UFUVJRp99OgQQOio6NNyxMREZF7X2xsLBMmTODAgQO4ubnRunVrRowYgbOzc67rLl68mOXLl3Pu3Dlq1KjBa6%2B9hp%2BfHwBXrlxh4sSJ7Ny5k7S0NBo0aMAbb7xBmTJlTBvr/fXyRBzOmDFjiI6Otvkys1gXERERB%2BCAHfbBgwdTvnx5tm3bxuLFi4mKimLx4sW5rrdt2zbmzJnDW2%2B9xZ49e2jRogX9%2B/fn4sWLAEybNo1Dhw6xYsUKNm/ejMVi4bXXXjM8vuupYBeHlJWVxdSpU2nevDn%2B/v507NiRb7/91rq9R48ezJ07l4EDB1KvXj3atWvHL7/8wsSJE6lfvz7Nmzdn165dAHz11Vf4%2Bvpy5coVm/sYPXo0gwYNslm3bt06mjVrRkZGhv0fpIiIiNwV0dHRHDlyhBEjRlCiRAkqV65Mr169WLVqVa7rrlq1io4dO1K3bl1cXV3p06cPTk5O7Nixg4yMDNasWcOAAQOoUKECJUuWZOjQoezcuZMzZ86YNl5NiRGH9Omnn7J27VpWrVpFuXLlmDlzJkOHDmX37t3W66xcuZIZM2YwZcoUnn/%2BeXr37s3gwYMZOXIk48eP5%2B233yYgICDf%2BwgJCaFPnz4kJSXh7u4OwJYtW2jbtm2eb4flJT4%2BnrNnz9qsK1vWgzJlPO/gUedWqZLt0pCMh0wIucbHx3bpSBx1bGaPq0QJc3IAvL1tl0b5%2B5uTU7Om7dIoM38nKlSwXRrl4WFOTunStkujzJwnnJNlVmaxYubkFC1quzSqgM8ft5VlZubdYoc553k9B3t4eODpeevn4IMHD%2BLl5UXJkiWt62rVqkVMTAwpKSkUL17c5rpBQUHWyxaLhZo1axIdHc3DDz9McnIytWvXtm6vVq0arq6uHDx4kHLlyhl5iFYq2MUhtWvXjieffNL6h9SmTRvmzZtHfHy89Q/xscceo27dugA0bNiQ7du307FjRwCeeOIJIiMjb3ofDRo0wMPDg82bN9OpUydSU1PZs2cPy5YtK/A4V6xYwezZs23WDRgwkCFDBuVzizszZowZKe%2BbEWJr3DjzM83iqGNz1HEBDB9%2Bt0eQt9v4m/zL9et3t0eQt1at7vYI8mdWYWzWC8McZr0wtAczX6DfJVlYTM/M6zl44MCBud49z8uFCxeszbocOTVHQkKCTcF%2B4cIFm8I%2B57oJCQlcuHABIFeWu7s7CQkJBX8wt6CCXe6qiRMnEhERYbOuUaNGvPPOO0RERLB7926SkpKs29LS0qzfX/%2Bq1cXFxeayq6urzXXzYrFYCA4OJjIykk6dOrFr1y68vLxsXiXfSpcuXQgMDLRZN368B4cOFTjipipVyi7WJ06E2FhjWfMzXjRnUJDdqRw3DiZMgBMnzMs1g6OOzexxmd1hHz4cpk2DuDjjeTt3Gs%2BA7AJq2TLo3h0OHzaeFxxsPCNHhQrZxfr8%2BXDqlPE8s4rF0qWzi/XNm8GMYqF9e%2BMZOZycsov1S5cgM9N43tGjxjMge0w1a2b/jl26ZDyvalXjGTmcnbP/1pOTwYypmqVKGc9wIHk9B3sYeLcqKysLyK4PCnLdm13vVttvlwp2uavGjBlDt27dcq3/17/%2BxZEjR1i%2BfDk%2BPj4cO3aMdu3a2VznxrPL3Hi5IEJCQpg/fz5nzpxh69atBN/mE7qnp2eut97%2B%2BCP7y0yxsfDzzwZDMowG5OHECRMGZieOOjazxmWPJ964OPjlF%2BM5%2B/cbz7je4cPmZNarZzzjRqdOmfMCrGxZ4xnXS0iAG6YK3BEzCuu8Ms3IvXbAn2kuXTIn0x7HQGVk2Cf3L2SPX6W8noMLqkyZMrk64ImJiVgsFkrfMKWsdOnSeV73oYcesp4JJiEhATc3N%2Bv2pKQknSVG/v4OHDhAcHAwlStXxmKxcPDgQbvcT5UqVfDz82P9%2BvXs2LEj14sCERER%2Bft55JFH%2BP333zl//rx1XXR0NA8%2B%2BCDFbjg%2B4pFHHrGpQzIyMjh06BB169alUqVKlCxZ0mb70aNHSUtL45FHHjFtvCrYxSF5e3sTHR1NWloa3333HZs3bwYw9YjrHB06dGDevHn4%2BvribdZBdyIiImKV88aKmV9G1KpVCz8/P6ZNm0ZKSgrHjx9n0aJF1nf9W7duzTfffANAt27dWLduHd9//z2XLl3ivffeo0iRIjzxxBM4OzvTuXNn5s2bx6lTp0hISGD69Ok8/fTTPPDAA0Z3m5UKdnFIw4cP59ixYzRs2JDZs2fzxhtv0Lx5c1588UUOmzGX9Tpt27blypUrtz0dRkRERArG0Qp2gJkzZ/LHH38QGBhI3759CQkJoXv37gDExMSQmpoKQEBAAMOGDWPUqFE0a9aMr7/%2BmgULFuDq6gpkn8%2B9Xr16dOnShbZt21K8eHEmTZpkfIDX0Rx2uWtu9gFJtWrVYuPGjTbrFixYYP3%2Bo48%2Bstk2YsQIm8sBAQEcOXIEgMcff9z6vbe3t/X7HImJiRQpUoS2bdve/oMQERGRe1L58uWZN29entturBW6d%2B9uLeZvVKRIEcaNG8c4O54FTAW73NeSkpIICwuja9eulPgbnDZLRETEEdnjoNP7iabEyH0rMjKSgIAASpcuXaBztoqIiIjcDeqwy32rffv2tDfzHMMiIiKSJ3XYjVHBLiIiIiJ2pYLdGE2JERERERFxYOqwi4iIiIhdqcNujDrsIiIiIiIOTB12EREREbErddiNUcEuIiIiInalgt0YTYkREREREXFg6rCLiIiIiF2pw26MCnYRERERsSsV7MaoYBcx2aVL5mVdvvzn0nBu5mXD47FKS/tzedmEXCcTZ%2BddvfrnMmecRpj1LGP2Pjt61HhGjkLXngpOnDAnt1cv4xkAPj7Zy%2BBgqFfPeN6iRcYzcvj7w/jxsH497N9vPO/pp41nAJQq9ecyK8t4Xnq68Ywczs7Zy4yM7C%2BjLl40ngF//v%2B5dMmczEImllY5Y3N2BovFvFy556hgFxERERG7UofdGB10KiIiIiLiwNRhFxERERG7UofdGBXsIiIiImJXKtiN0ZQYEREREREHpg67iIiIiNiVOuzGqMMuIiIiIuLA1GEXEREREbtSh90YFewiIiIiYlcq2I3RlBgREREREQemDruIiIiI2JU67Maowy4iIiIi4sDUYRcRERERu1KH3Rh12Ato1KhRhIaG5rlt1qxZdO7c2S73O2bMGEaOHGm9PGnSJPz9/VmwYIFd7k9ERETEbJmZ5n/dT/42BXtgYCDLly/PtX758uUEBgaael8ZGRksWrTIlKy4uDh8fX05fvx4ntsnTpzIW2%2B9BUBSUhIfffQR06dP56WXXrrt%2BwoMDKR27drUqVMn19eGDRsMPQ6jFi1aRHp6%2Bl0dg4iIiIgj0pSYO3Do0CHef/99evXq9Zfeb3JyMllZWfj4%2BGCxWO4oY8yYMXTr1s3kkRlz/vx53nzzTbp3706hQvqVFBER%2Bbu53zriZvvbdNgL4uTJk7z88ss8/vjjNGjQgLFjx3L58mXr9vXr1xMUFIS/vz8tWrRg5cqVuTIOHDhA165dOXfuHHXq1OHLL7%2B0bvv3v/9NkyZNePzxx3nzzTdNGXPOVJyYmBhatWoFQIcOHZg7dy4AH3/8MW3atKFu3bq0bduWvXv33vF9HT16lLp163L48GHruueff56JEycC2R36xYsX06tXL/z8/Hjqqaf45ptvrNe91f793//%2BR/v27albty7BwcHs3buXc%2BfOERAQQFZWFvXr12fNmjUALF68mKeeegp/f3/atGnDtm3bbPZJeHg4kydPpmHDhjRq1MhmitD58%2BcZPHgw/v7%2BNGvWjOnTp5OVlcXo0aMZNGiQzWNet24dzZo1IyMj4473m4iIiIg93TftzKysLPr374%2B/vz/bt2/n0qVLDBs2jEmTJhEeHk5sbCyvvvoqCxcupGnTpuzevZt%2B/frx2GOPUb16dWuOn58f4eHhTJs2jT179gCwb98%2BfvvtN1JSUtixYwd79%2B6lb9%2B%2BtGvXjtq1a5sy/qpVq7Jp0yZatGjBp59%2BSvXq1dm8eTOzZs1i4cKF1KpVi6ioKPr27cvmzZupWLHibd9HjRo16NWrF5MmTeKjjz4iMjKS33//3aYYXrRoETNmzODhhx9m5syZDBo0iN27d%2BPs7HzT/XvmzBkGDRrEpEmTePrpp9m4cSMDBgwgKiqKDz74gBdeeIFvvvkGFxcX9u3bx7Rp01i1ahU1atRg5cqVjBgxgl27duHu7g7Axo0befXVV9mzZw/r169nzJgxhISE4OnpyZgxYyhUqBC7d%2B8mKSmJf/zjH3h5eRESEkKfPn1ISkqy5mzZsoW2bdvi7Ox8Rz%2BX%2BPh4zp49a7POw8OD0qU97yjvRpUr2y4NyfI1IeQaUwcG3OE7Rnkye2xZWebkmD2uixfNyQGoWtV2aZSPjzk5FSrYLo3y9zcnB6BmTdulUaVLm5Nz7X%2BbdWnUHf5vzJOTk%2B3SqBIlzMkpVsx2aZRZj%2B/6LDMz7xJ12I35WxXsEydOJCIiwmZdZmYm5cqVIzo6mmPHjrF8%2BXLc3Nxwc3Nj0KBB9OnThwkTJuDt7c0XX3xB6Wv/NAMCAihRogQ//fSTTcGen8KFC9O3b18sFgvNmzenePHixMTEmFaw52X16tV06tQJPz8/AFq2bMmjjz7Khg0b6Nu3b563yWsfubm58dVXXwEwYMAAgoODWbVqFbNmzSI8PJxi1/0TCwwMpF69egD069ePDz74gB9%2B%2BIHChQvfdP/%2B97//xcfHh6CgIABCQkJwcXEhK49i6LHHHmP37t2UKlUKgHbt2hEWFsbx48fxv/aE6%2BXlxTPPPANAvu2nfwAAIABJREFUUFAQo0eP5tdff6Vw4cJs376dNWvWULx4cYoXL84777yDk5MTjzzyCB4eHmzevJlOnTqRmprKnj17WLZs2R3/DFasWMHs2bNt1g0YMJAhQwblc4s7M2GCGSlLzQixFR5ufqZZzNlp5nPkfTZ16t0eQd769TMnZ/x4c3KuZ%2BD/h101aXK3R5C/4sXNyTH7Mdata26emcx6MXEXqWA35m9VsOc1P3v58uUsXLiQ2NhYMjIyaNSokc32jIwMEhISKFOmDMuWLWP16tWcO3eOrKws0tLSSEtLK9B9V6hQwWZeuaura4Fve6dOnDjBnj17WLJkiXVdVlYWDz74YL63udUc9iJFihAeHk6PHj0ICgqiefPmNturXteBc3d3p0SJEsTHx5OZmXnT/XvixAm8vLxstrVp0ybPMWRkZDBnzhw2b95MQkKCdf31%2B9Pb29v6fdGiRQG4fPkycXFxZGZm2txX3ev%2BCQcHBxMZGUmnTp3YtWsXXl5ehl5UdenSJddBza%2B95sF3391xpI3KlbPrznHj4LffjGUtyXrBnEFB9sDCw2HsWOMDA/M77GbtNDC3w27mPjO7wz51KowYATExxvPq1DGeAdmd9X79YP58OHXKeN769cYzctSsmV2sd%2B8O100jvGM3NFLumLt7diH7xReQlGQ8z8yi2Mkpu1hPSTGnevvxR%2BMZkF0M160LP/xgzt%2BVWb//kL3PihXLHpcZ%2B8ysdyXkL/e3KthvxsXFBTc3N/bv35/n9lWrVvHBBx8wd%2B5cGjRogLOzc67i82bu9CBQI1xdXRk%2BfDi9e/c2NTcuLo6iRYty4sQJMjIybKaLZN7wDyMrKwuLxXLL/WuxWHLdNj85xfq8efOoWbMmly9ftnbWczjl8/Zgzs8hv/sKCQlh/vz5nDlzhq1btxIcHFygMeXH09MTT0/b6S9nz2Z/mem33%2BDoUYMhmUdMGYuN336DIybk2uPtXlN2Gua3hczaZ2YUYzeKiYFDh4znlCxpPON6p07BiRPGc/L5/2TI4cPm5F7XnDBFUpI5mfY4vicz05zc5GTjGde7eNGcTHu0kv8G5zG8x4d/1937k6IKyMfHh9TUVGJjY63rUlJSrB3c6Oho6tevT6NGjXB2dub333%2B36e46Ih8fH47c8MT/%2B%2B%2B/5znNpKByztgyf/580tPTWbrUdhrFieueNBMTE0lJSaF8%2BfK33L%2BVKlUi5obO3ZIlS/gtj05jdHQ0LVq0oFatWjg5OXHoNgoIb29vnJycbO5r7969bN26FYAqVarg5%2BfH%2BvXr2bFjB%2B3atStwtoiIiMjdcN8U7DVq1MDf359JkyZx/vx5kpKSCAsLs34okZeXF7/88guJiYnExcUxZcoUKlSowJkzZ3Jlubq6kpycTFxcnM1ZUPLz8ccf23zo0siRI005j3uXLl347LPP2LFjB%2Bnp6Xz55Ze0a9eOH374Ic/7LYiIiAiefPJJGjZsSFhYGDNnziQuLs66PSoqigMHDnD58mXmzZtH2bJlqVOnzi33b7t27Th16hQrV64kLS2NjRs3MmPGDIoXL46rqysAR44cITU1FS8vLw4fPsylS5c4evQoS5cuxdXVNc%2BfxY1KlSpFixYtmDNnDhcuXODUqVOMGzfO5sDQDh06MG/ePHx9fW2m1rz11lvWc96LiIiIefTBScbcN1NiAKZNm8aECRNo0aIFRYoUoXHjxkyZMgWAbt268dVXX9G8eXMqVarE%2BPHj2bdvH3PnzrUeiJqjUaNGeHt706ZNmwKdvjEhIYGTJ09aL586dSrXNIoOHTrYTKspVKhQvtNLcjRt2pRXX32VCRMmcO7cOby9vRk/frz1oNAb7xfyPugUsgvqtm3bsmvXLjZt2gRgPaViWFgYH3zwAQDPPfcc77zzDt9%2B%2By3ly5dnzpw51ikzN9u/DzzwAB988AFhYWFMmjSJqlWrMnfuXMqWLUuJEiXw9/ene/fuhIaG0q9fP0JDQ2ncuDE1atRg8uTJlC5dmrFjx1KyAG%2B1T548mddff50nn3ySYsWK8eyzz9rM22/bti0RERG5psPEx8ffMltERERu3/1WYJvNkmVk/oTcVwIDA3nppZcc7oOXbteJEycICQlh586dlLDDATiNG5uXVaMGLFkCPXsan469N/NxcwYF4OsLS5fCCy843hx2M3camPcsY/Y%2BM3MOe61asHo1PPusOXPYzfoj8PHJPrPL%2BPHmzGE36ROqgexTRH73HTz6qDlz2M0620zp0tC6NWzaZM4c9tatjWfkcHbOPig2KcmcOexff208A7IPxMw5UNeMOey3cfzbLTk5ZY8vOdmc/0VmH19yG/btMz%2BzQQPzMx3VfdVhF8mZqtO1a1e7FOsiIiKSmzrsxtw3c9hFIiMjCQgIoHTp0rk%2B8VRERETEUanDLgUWFRV1t4dgSPv27Wnfvv3dHoaIiMh9Rx12Y1Swi4iIiIhdqWA3RlNiRERERESuk5CQwJAhQ2jSpAnNmjXjtdde49KlS/lef8uWLQQHB%2BPv78/TTz/NihUrrNtWr15NzZo1qVOnjs3XuXPnCjweddhFRERExK7utQ77mDFjSE9PZ8OGDaSnpzN06FDefvttxo0bl%2Bu60dHRjBgxgunTp/Pkk0%2Byd%2B9eXn75ZapXr079%2BvVJTk6mSZMmfPjhh3c8HnXYRURERESuOXfuHFFRUYSGhlKmTBk8PT3p378/a9eu5erVq7mun5CQQL9%2B/XjqqadwdnamWbNm1KhRg2%2B%2B%2BQbI/mT4gnyOzM2owy4iIiIidmWPDnt8fLzNJ5kDeHh45Ppwytv1008/4ezsjK%2Bvr3VdrVq1SE1N5ZdffrFZDxAQEEBAQID1cnp6OmfPnqVcuXJA9imlf/vtNzp16kRMTAyVK1dm2LBhNG3atMBjUsEuIiIiInZlj4J9xYoVzJ4922bdwIEDDZ%2B6%2BcKFCxQvXtzmE%2BhzOuQJBfhAsqlTp%2BLm5kZQUBAApUqVwtPTkxEjRlCxYkVWrFhBv379%2BPTTT6levXqBxqSCXURERETuOV26dCEwMNBmnYeHR4Fuu27dOkaPHp3ntoiIiHxvd30Rf6OsrCymTp3Khg0bWLp0KS4uLgC5XkD06tWLjRs3EhkZydChQws0XhXsIiIiImJX9uiwe3p63vH0l5CQEEJCQvLctmfPHpKTk8nIyMDZ2RnI7roDlClTJs/bZGZm8tprr3HgwAGWL19OpUqVbnr/3t7exMfHF3i8OuhUREREROSahx9%2BmKysLA4fPmxdFx0djbu7O1WrVs3zNhEREfz88895FusLFizgq6%2B%2Bsll3/PjxWxb111PBLiIiIiJ2lZlp/pe9lClThlatWvHuu%2B9y/vx5Tp8%2BzZw5c3juuecoVCh7ckrPnj357LPPAPj2229Zv349CxYsoFSpUrnyzp07xxtvvEFMTAxXrlxh0aJFxMbG0rFjxwKPSVNiREzWuLF5WV5e2Us/Pyhb1mBYRiPD47Hy9s5e1qkDpUubl2uGnLE98gjk8Y/zrjF7nz36qPGMHDlv8f7zn3D%2BvPG8pCTjGQA5c1Fr1jThDwB4%2BmnjGTlyfoYREVCAg9BuqXt34xkA/v7QujWMHg379xvPW7PGeEaOkiUhMBC%2B%2BQYSE43nHThgPAOgfHlo0gSio%2BH0aeN5Zv5tXisOSU/P/rqH3WvnYZ8wYQLjx4%2BnXbt2FCpUiKeeeorQ0FDr9tjYWBKv/R6vXr2a5ORknnzySZuMBg0a8OGHHzJ8%2BHCysrJ44YUXSE1NpUaNGixZssR6FpmCUMEuIiIiInKdEiVKMG3atHy3R0VFWb%2BPiIi46YGqLi4uvP7667z%2B%2But3PB4V7CIiIiJiV/dah93RqGAXEREREbtSwW6MDjoVEREREXFg6rCLiIiIiF2pw26MOuwiIiIiIg5MHXYRERERsSt12I1RwS4iIiIidqWC3RhNiRERERERcWDqsIuIiIiIXanDbow67CIiIiIiDkwddhERERGxK3XYjVHBLiIiIiJ2pYLdGE2JkXtaaGgoo0aNutvDEBEREbEbddjFkMDAQM6cOYOTk%2B1rPw8PD6Kiou7SqERERMSRqMNujAp2MWzMmDF069btbg9DRERE5G9JBbvYzaxZs/jxxx8pWrQoUVFRHDhwgMuXL/PWW28RFRXFhQsXqFevHpMmTcLLywuAkydPEh4ezv79%2B8nMzKR169a8/vrruLq6ArBy5UrmzZtHYmIiHTp0IPOGl%2Bz/%2Bc9/WLJkCWfOnKFy5cq89NJLBAUFAdCjRw8aN27MoUOH%2BN///oe3tzczZ85k2bJlrFu3jmLFihEeHk5AQMBfu6NERET%2B5tRhN0YFu9jV999/z5AhQ5g6dSoAb7/9NocOHWLFihWULFmSmTNn0qdPH/773/8C0L9/f/z9/dm%2BfTuXLl1i2LBhTJo0ifDwcH755RfGjRvHzJkzeeKJJ/j000%2BZNGkSrVu3BuDzzz/n7bffZv78%2Bfj5%2BfHZZ58xfPhwqlevjq%2BvL5Bd8M%2BYMYMpU6bw/PPP07t3bwYPHszIkSMZP348b7/99m0V7PHx8Zw9e9ZmnaurB2XLepqx%2B/D0tF0akultQsg1pg7MZI46NrPHVaaMOTkAJUvaLo1ycTEnp3Rp26VRpUqZkwPg7m67NMrf35ycmjVtl0aZ9TsBULy47dKo8uXNyXngAdulUYVMLK2cnW2X9zAV7MaoYBe7cnJyolu3blgsFjIzM1m7di3vvvsu5cqVA2Do0KF8/PHHHDhwAIvFwrFjx1i%2BfDlubm64ubkxaNAg%2BvTpw4QJE9i2bRs1a9akZcuWAHTq1InFixdb72v16tW0a9eO%2BvXrAxASEsLSpUv5/PPPrQX7Y489Rt26dQFo2LAh27dvp2PHjgA88cQTREZG3tbjW7FiBbNnz7ZZ98orAxk8eNDt76yb6NHDjJR/mRFiq2dP8zPN4qhjc9RxATjqu0utWt3tEeSvSRNzcq41HkyzbJm5eWZq2NCcnMBAc3JyPPusuXlmMuuFodyzVLCLYRMnTiQiIsJmXaNGjfDz86NChQpYLBYA/vjjDy5evMiAAQOs6wAyMzM5deoUGRkZZGRk0KhRI5usjIwMEhISOHPmDBUrVrTZVqlSJev3cXFxuW5btWpVTp06Zb2c80IBwMXFxeayq6sraWlpt/XYu3TpQuANTxr//rcH06bdVky%2BPD2zi/WPPoL4eGNZwzPfNmdQkD2wnj1hyRLjAzObo47N7HGZ1UGF7C5qQADs2gWJicbzLl40ngHZnfVWrWDzZkhIMJ5ndoe9SRP44gtISjKeN3q08QzI/r1Ytgy6d4fDh43nXXt31BTFi2cX619/DSkpxvN%2B/tl4BmR31p99FlavhnPnjOd17mw8I4ezc/bvWlISZGQYzzPr3ao7oA67MSrYxbD8DjqdNWsWha57azBnHvp//vMfHnnkkVzX37ZtG25ubuzfvz/P%2B8mrmHa%2B4W3C618I5Lh69ar1%2BxvPZnPj5dvl6emJ5w1THC5fhpMnDcXmEh9vQmZGnCljsREfD3F2yDWDo47NrHHZY8pPYiKcP288x4wC9noJCXDD1LM7kpVlPONGSUnmvJjI5//eHTt82JxMM17A3SglxZzc06eNZ1zv3DlzMtPTjWfcKCPDPrlyz9B52OUvU6JECUqVKsWRI0ds1sddK158fHxITU0lNjbWui0lJYWEa0%2BGnp6eNt1ygOPHj1u/9/HxsbkMEBMTY9OFFxERkb9eZqb5X/cTFezyl%2BratSvvvfcex48f5%2BrVqyxevJjnnnuOS5cuUaNGDfz9/Zk0aRLnz58nKSmJsLAwRo4cCUCzZs346aef2LFjB2lpafz73//mzJkz1uygoCAiIyP5/vvvuXr1KuvWrePo0aO0bdv2bj1cERERQQW7UZoSI3%2BpAQMGkJSURPfu3bl69SoPP/wwCxcupGjRogBMmzaNCRMm0KJFC4oUKULjxo2ZMmUKAP7%2B/rz22muEhYWRnJxM%2B/btad26NVnX3uYOCgoiLi6OkSNHcu7cOapVq8aHH35IlSpV7tbDFRERETFMBbsYcrNPMx00aBCDBtmeLcXFxYWwsDDCwsLyvI2Xlxfz58/PN7Nnz570vMlZNvr27Uvfvn3z3PbRRx/ZXB4xYoTN5YCAgFzTdURERMS4%2B60jbjZNiRERERERcWDqsIuIiIiIXanDbowKdhERERGxKxXsxmhKjIiIiIiIA1OHXURERETsSh12Y9RhFxERERFxYOqwi4iIiIhdqcNujAp2EREREbErFezGaEqMiIiIiIgDU4ddREREROxKHXZj1GEXEREREXFg6rCLiIiIiF2pw26MJSsrK%2BtuD0Lk7yQmxrysIkXAywtOnoS0NGNZVdOOmDMoABcXqFIFfv0VrlwxL9cMjjo2k8d1tZqv4YzrFS4MV6%2BalHU52ZwgJycoVgwuXjTn2T493XhGDmdncHeHpCTIyDCet2OH8QyAkiUhMBCioiAx0Xhex47GM3L4%2B8N338Gjj8L%2B/cbzIiONZ0D2zzEgAHbtyv55GhRbt50Jg8pWuDCULw%2BnT5vz91mpkvGMO/X22%2BZn/utf5mc6Kk2JERERERFxYJoSIyIiIiJ2pSkxxqjDLiIiIiLiwNRhFxERERG7UofdGHXYRURERMSuMjPN/7KnhIQEhgwZQpMmTWjWrBmvvfYaly5dyvO6X375Jb6%2BvtSpU8fm68CBA9ceeybTpk2jRYsWNGjQgD59%2BvDbb7/d1nhUsIuIiIiIXGfMmDFcvnyZDRs2sGbNGn777TfezudUN8nJyVSpUoXo6GibLz8/PwA%2B%2BugjNm7cyIIFC9ixYwfVqlVj4MCB3M6JGlWwi4iIiIhd3Usd9nPnzhEVFUVoaChlypTB09OT/v37s3btWq7mcX7NxMRESpYsmW/eqlWr%2BOc//0n16tUpVqwYQ4cOJSYmhh9%2B%2BKHAY1LBLiIiIiJyzU8//YSzszO%2Bvn9%2B3kWtWrVITU3ll19%2ByXX9pKQkEhMT6dGjBw0aNKB9%2B/asX78egMuXL3Ps2DFq1aplvX6xYsXw8fEhOjq6wGPSQaciIiIiYlf26IjHx8dz9uxZm3UeHh54enoayr1w4QLFixfHYrFY1%2BV00BMSEnJd383NjXLlyjFs2DAefvhhtmzZwqhRo/Dw8KBatWpkZWXl6sCXLFkyz6z8qGAXEREREbuyR8G%2BYsUKZs%2BebbNu4MCBDBo06Ja3XbduHaNHj85zW0RERL63u76Iz9G1a1e6du1qvdy%2BfXu2bdvGmjVrGDFiRJ45WVlZeWblRwW7iIiIiNxzunTpQmBgoM06Dw%2BPAt02JCSEkJCQPLft2bOH5ORkMjIycHZ2BrK77gBlypQpUL63tzc//vgjpUqVwsnJKVc3PTExscBZoIJdREREROzMHh12T09Pw9Nf8vLwww%2BTlZXF4cOHqV27NgDR0dG4u7tTtWrVXNdfuXIlJUuWpFWrVtZ1x48fp1KlSri4uPDQQw9x8OBBGjZsCGTPeT9x4oT1LDIFoYNORURERMSu7qWzxJQpU4ZWrVrx7rvvcv78eU6fPs2cOXN47rnnKFQou9fds2dPPvvsMwAuXbrEhAkT%2BPHHH7l69SqfffYZu3fvplu3bgB069aNpUuXcvz4cVJSUpg6dSoPP/wwderUKfCY1GGXv70xY8aQlpbGW2%2B9dbeHIiIiIveACRMmMH78eNq1a0ehQoV46qmnCA0NtW6PjY0lMTERgBdeeIGUlBQGDx5MQkICVatWZe7cudbufNeuXTl37hwvvfQSFy9exN/fP9fc%2B1tRwS55%2BvXXX3nvvffYs2cPSUlJuLu7U69ePfr163dbrwgdwcSJE63fZ2RksHTpUnr16nUXRyQiInJ/sfcnk5qtRIkSTJs2Ld/tUVFR1u8tFguvvPIKr7zySp7XtVgsDBo0qEAHw%2BZHU2Ikl59%2B%2Bolnn32WokWLsnbtWn744Qf%2B85//UK5cOZ5//nnrR%2B3eiw4dOsT7779/t4chIiIiUmAq2CWXCRMm8MQTTzB%2B/Hg8PDywWCx4e3szduxYhg8fbp2/dfjwYXr27En9%2BvVp1KgR06dPJyMjA4A1a9YQHBzMunXrCAwMxN/fn6FDh1o/ISwzM5OZM2fy1FNPUbduXZ577jkOHz5sHUNgYCDvvfceTz31FK%2B//joAP//8My%2B88AINGjQgMDCQsLAwrly5AsDZs2fp378/DRs25LHHHqN3796cPHkSgFGjRhEaGsqBAwesb0vVqVOHOXPm8Mgjj9gcuX3lyhX8/f3ZuXOn/Xe0iIjIfeJemsPuiDQlRmz88ccffPfdd/zrX//Kc3vPnj0BSE1N5cUXX6R79%2B4sXLiQM2fOMGDAANzc3Hj55ZcBOHnyJD/%2B%2BCMbNmzg5MmTdOzYka1btxIUFMTixYvZsGEDCxcuxMvLixUrVvDCCy%2BwY8cO3NzcANi4cSMffPABPj4%2BpKWl0bt3b0JCQliwYAGnTp2iX79%2BzJgxg5EjRzJjxgzS09PZvn07zs7OvP3227z55pvMnDnTOnY/Pz/Cw8OZNm0ae/bsISsri7Vr17Jp0ybrgSG7d%2B%2BmaNGiNG3atED7K68Pbbh61QMPD3OOWi9c2HZpiMXFhJBrihSxXToSRx2bo47LHpxM6gXl5JiVd%2B30bKYwe2w3%2BVjz21K8uO3SKH9/c3IAata0XRrl7m5Ojsn7zJT/19dc649Zl/ey%2B63ANtvf4FdAzBQbGwtA5cqVb3q9nTt3kpWVxYABAwCoVKkSffr0Yf78%2BdaC/eLFiwwdOhQ3NzceeughfH19rR/pu3r1anr16mU9PVKPHj1YsmQJO3bsICgoCID/%2B7//s45j165dXLp0iUGDBlGkSBGqVq1Kjx49WLp0KSNHjiQpKQlnZ2dcXV1xdnZmzJgxt/xAAovFQnBwMJGRkdaCfcuWLQQFBVnfRbiVvD604ZVXBjJ48J3PU8uLOWetqmJGiK2KFc3PNIujjs2kcZlYE/yZaVZo4WImBV1TtKi5eWYyqzC%2B4VzShl07fZxh331nTs71li0zP9MMjz5qSkx5U1JsPfCAHULlnqKCXWzkFLnp6enWdfv27aN3795A9idzVahQgU6dOvHHH3/YHICalZVFkeu6h6VLl6b4dU9mRYsW5fLlywCcOHGCSZMm2XyaWGZmJqdOnbJernhdYRMXF0elSpVs8qtVq8bp06fJysrixRdfpH///jRv3pzmzZvTqlUrAgICbvl4Q0JCmDt3LidPnqRcuXLs2LHjtua45/WhDVevenBtNo5hhQtnF%2Bvx8XBtNtEd87r6qyljArK7xBUrwu%2B/Q1qaeblmcNSxmTyuq15VjI/pOoULG/8ds2alXTQnyMkpu1i/dMmc9ty1KXumcHLKLtZTUswZ2zffGM%2BA7DE1bAhff509NqPy%2BZTGO1KzZnax3r07XDcF8o69%2B67xDMjeZ48%2Bmv3ixIR9drrGrZ97CqpQoexi/dw5uO5p%2BY6Vt8eriQJSh90YFexio0qVKlgsFn755RfKlSsHQIMGDYiOjgay56bPnj3b%2BkEAkZGR%2BWY53eStYldXVyZOnGjzIQM3urHLfWPHPCsryzon3s/Pj88//5xdu3YRFRXFwIED6dy5M2PGjLnp4/Xx8aFevXps3LiR2rVrU7p06dv6IIO8PrQhJsb8OvHqVRMy066YMhbbzDS4YodcMzjq2Bx1XGYy%2B5nZrAmrZhbsOTIzzcm9dno406SkmJO5f7/xjBsdPmxOblKS8YzrpaSYkmnWC9/rpafbJ1fuHTroVGyULFmSpk2b8uGHH%2Ba5PfPak6aPjw%2BxsbFcvPhnJy0hIYGUAnYnKlWqxJEjR2zWxcXF3fT6sbGxpF1XtcbExODt7Y3FYiEpKYlChQrRsmVLpkyZwhtvvMHq1asLNJaQkBA2bdrEf//7X9q3b1%2Bg24iIiEjB6aBTY1SwSy6vv/46Bw4cIDQ01FpEX7hwgVWrVjF9%2BnTq1q1Ls2bNKFOmDG%2B%2B%2BSYpKSmcPXuWIUOGMHXq1ALdR9euXfn3v//N999/T0ZGBp999hnt2rXj999/z/P6jRo1wtnZmTlz5pCWlkZMTAxLly4lJCQEgM6dOzNnzhyuXLlCWloahw8fznMevqurK8nJycTFxVmn5wQFBXHs2DEV7CIiInaigt0YTYmRXKpVq8bq1auZM2cO3bp148KFCxQrVozatWszZswY2rRpg8ViYe7cuUycOJGmTZtSvHhxWrRowauvvlqg%2B3juuec4deoUAwcOJCUlhWrVqjFr1iybeevXK1asGAsWLGDKlCk0btyYUqVKERISYj3A9d133%2BWNN95g8eLFFCpUiDp16uT54qFRo0Z4e3vTpk0b3nzzTYKCgnB3d%2BeJJ57gzJkztzzYVkREROSvZsnKysq624MQudv%2B8Y9/0KFDBzp16mQ4KybGhAFdU6QIeHnByZPG57BXTTty6ysVlIsLVKkCv/7qePOxHXVsJo/rajVfwxnXM/Wg08vJ5gQ5OUGxYnDxojntNDOO2svh7Jx9WsGkJHPmsO/YYTwDsk8PGRgIUVHmzGHv2NF4Rg5//%2BwDOx991Jw57Dc5huq2uLtDQADs2mXKHPbYuu1MGFS2woWzDxQ9fdqcv89KlYxn3CkDH/KZr1mzzM90VOqwy30tKyuL5cuXc/LkSU2HEREREYekgl3ua35%2Bfvj4%2BDBjxgxcXV3v9nBERET%2Blu63OedmU8Eu97Wc01WKiIiI/ahgN0ZniRERERERcWDqsIuIiIiIXanDbow67CIiIiIiDkwddhERERGxK3XYjVHBLiIiIiJ2pYLdGE2JERERERFxYOqwi4iIiIhdqcNujDrsIiIiIiIOTB12EREREbErddiNUcEuIiIiInalgt0YFewiJtuyxbysBx6AZ5%2BFL7%2BEc%2BeMZfVLM3FgHh5QpUr2wM6eNS/XDGaPzaxnmZxxffGFKeMq7PnY7SmTAAAgAElEQVSd8THlKF0aWrem8OebICHBeF6lSsYzAIoVA39/OHoULl40nmdGRo4SJaBJE/jxR0hONp534IDxDIDy5SEwEH7%2BGU6fNp4XGWk8I4e7e/by3XchKcl4Xvv2xjMg%2B3fsu%2B9g6FDYv99wXPm0LBMGZatsWdMj5R6jgl1ERERE7EoddmN00KmIiIiIiANTh11ERERE7EoddmNUsIuIiIiIXalgN0ZTYkREREREHJg67CIiIiJiV%2BqwG6MOu4iIiIiIA1OHXURERETsSh12Y1Swi4iIiIhdqWA3RlNiREREREQcmDrsIiIiImJX6rAbow67iIiIiIgDU4ddREREROxKHXZjVLDLPW3MmDGkpaXx1ltv3e2hiIiISD5UsBtT4IK9d%2B/e7Nu3D4CMjAwyMzMpXLiwdfumTZvw8vIybWCffPIJgYGBlClTpkDXT05OZuHChWzevJnTp0/j6upK9erV%2Bcc//kFQUJBp47pXHTx4kMTERJo0aZLvdQ4cOMB7773Hd999x5UrVyhXrhxt2rShf//%2BuLi4/IWjzV9GRgZLly6lV69eAEycOPEuj0hERETEvgo8h/3DDz8kOjqa6Oho%2Bvfvj5%2Bfn/VydHS0qcV6RkYGkydPJiEhoUDXT0lJoVu3bnz77bfMmTOH77//ns2bN9O2bVtGjRrFRx99ZNrY7lWrV6/miy%2B%2ByHf7rl27%2BMc//kGtWrXYunUr%2B/btIyIigqioKF566SWysrL%2BwtHm79ChQ7z//vt3exgiIiJyGzIzzf%2B6n5h20OmsWbPo168fQ4cOxc/PD4DAwECWL19uvc5XX32Fr68vV65cAWD%2B/Pk88cQT1K1bl1atWrFhwwYAGjZsSEpKCh06dGD27Nm3vO%2BFCxeSmprKokWLePDBB7FYLJQqVYrnn3%2BeqVOnUrFiRet1ExMTGTlyJM2aNaNx48a8/PLLxMXFkZmZSbNmzVi7dq1N9sCBAwkLCwPg8OHD9OzZk/r169OoUSOmT59ORkYGAGvWrKFdu3a8%2Beab1K1bl99//51Ro0YRHh7O5MmTadiwIY0aNWLBggXW7Jz906NHD%2BrWrUuXLl04deoUw4cPx9/fn1atWnHw4EHr9ffu3UuXLl3w9/fn//7v/1i8eLHN/u/fvz8LFy6kadOmNGjQwNp9Dg8PZ9myZXz44Yc8/fTTufZfRkYG48eP5/nnn2fQoEG4u7tTuHBhHnvsMRYsWIC3t7f1xdPPP//MCy%2B8QIMGDQgMDCQsLMz688xvH7z%2B%2Buv06NGDVq1aAeDr68uuXbus979mzRqaNm1q/R2pXbs227dvp0WLFvj5%2BdG/f38uXrzIgQMH6Nq1K%2BfOnaNOnTp8%2BeWXjBo1itDQUGvWtm3bCA4Oxt/fn7Zt27J06VLrtlv9PERERMQ%2BVLAbY%2Boc9u%2B//54hQ4YwderUW143pxu%2BevVqHnzwQb7%2B%2Bmv69%2B9P06ZN%2BfTTT2nRogWffvop1atXv2XW1q1b6dy5M0WKFMm1rWXLljaXX3/9dS5evMj69espVKgQo0aNYujQoXzyySe0bNmSbdu28cwzzwBw%2BfJl/ve//zF//nxSU1N58cUX6d69OwsXLuTMmTMMGDAANzc3Xn75ZQDi4%2BMpUqQI33zzDYUKZe/ajRs38uqrr7Jnzx7Wr1/PmDFjCAkJwdPTE4Bly5Yxc%2BZMSpQoQUhICM8//zzh4eFERETQv39/Zs2axbx58zh16hQDBgxg7NixdOjQgWPHjvHiiy9StmxZ2rdvD8B3332Hn58f27dv59tvv%2BWf//wnwcHBjB07lqNHj1K3bl1GjBiRax8dPHiQkydP0qNHj1zbypcvT0REBABpaWn07t2bkJAQFixYwKlTp%2BjXrx8zZsxg5MiR%2Be6Dzz//nMmTJ9O8efNb/iwB0tPTWbduHWvWrOHy5cv06tWLGTNmMHr0aMLDw5k2bRp79uwBYN26ddbbHT58mCFDhjBjxgyaN2/O119/Tb9%2B/ahcubL1vm/187hd8fHxnD179oa1HjzwwJ3l3ahUKdulIVc9TAi5pnRp26UjMXtsZj0rmD0uM/e9u7vt0qhixczJKVrUdmmUk4knRst5jGY91vLlzcl54AHbpVFm/U4AFC9uuzTK39%2BcnJo1bZciDsjUgt3JyYlu3bphsVhued2kpCQA3NzcsFgsPP7443zzzTc4OTlx8eLF27rf2NhYfHx8bnm9Cxcu8P/s3Xlcjen7B/DPKW2W0Nhb7IRESrs1o0UoRpax1wiTLGNXlhn7mi8iS%2BPLMGIsDcZaiqw1lgoxk5BQSft26pzn90fTMx3nIDqd%2B/H7Xu/Xy0s9zzn3uTqd6nruc93XffHiRYSEhPC18dOnT8egQYPw%2BvVrODk5YdKkSSgqKoK2tjYuX76M2rVro3v37jh37hw4jsPUqVMBAIaGhvD09ERQUBCfsOfm5uK7776Tqe3X19fnLwBcXFywcOFCPH36lE8Q%2B/Tpg5YtWwIATE1NkZ%2Bfz8829%2BjRAyEhIQDKEs22bdtiyJAhAMpmqUeMGIHQ0FA%2BYVdXV4e3tzfU1NRgY2MDPT09JCYm8u94fOj509bWRtOmTT94u8uXL6OwsBDTpk2DpqYmWrZsiTFjxmDfvn18wv6%2B56BPnz4fHPtdnp6eqFu3LurWrYsRI0bgl19%2BwcKFCz94n6NHj8LGxgb9%2BvUDANjZ2aFPnz44f/48n7B/7PvxqUJCQuTeBfr%2Bex8MHTrts8Z7HwcHZYwyQhmDyPrnXRNBEmpszs6sI3i/D6xxYUrIiVSXLsoZR9nP/dChyh1Pmbp1U844t28rZ5xyBw8qZRiNj9/k08esjkFV7EubEc/MzMTSpUsRHR0NNTU19OjRA4sXL4aOggkEPz8/hIaGyhyTSqXo1q0b9u/fj6NHj2LRokUyuREAXLp0CQ0qeXGt1IS9adOmlUrWAcDW1haWlpZwdHSEtbU1evfuDTc3N9T%2BjCtvkUjEl6aU69y5M/%2BxRCLBhQsXkJ2dDY7jZGbtW7VqBQB4%2BfIlLCwsULt2bURFRaFfv344f/48nJycoKamhuTkZGRkZMiMy3GczKy%2Brq6uXPwGBgb8x%2BXf5KKiIv5Y48aN%2BY%2B1tLRk7q%2BtrQ2xWAwAeP78OeLi4uQevzzZB4BmzZpBrcIMko6OjsxjvY9IJIJUKgXHcR/8/r148QKGhoYyX3OrVq3w%2BvVrvsZd0XNQsSSpssq/L%2BX3T0tL%2B%2Bh9Xrx4IfeOTKtWrRAXF8d//rHvx6caPnw4%2BvbtK3MsKqohjh797CFl1KtXlqyHhQFZWVUba2jJIeUEBZTN7jo6AufOAZVca6Iyyo5NmTPszs7AmTPKiauSC/IrRVe3LGG8dg34ZzKlSir8XqsSHZ2yZD0hASgsrPp4yhijXK1aZcn6vXvAJ04yKVTh91SVNGhQlqwfPQq8eVP18Tp0qPoY5WrXLkvWb98G8vKqPt6MGVUfAyh7jR08CIwaVfZaq6KSm8q9kNDQAEpKlDcWqRw/Pz%2BUlpbi1KlTKC0txYwZM7Bu3TosXrxY7rbLly%2BXaYLBcRxGjhzJT6jm5ubC1tYWwcHBnx2PUhP28hKI95FW%2BMOnpaWF3bt3Iz4%2BHuHh4fj5558RHBwsV0NeGS1btkRiYqLMsfIk7cWLF3BwcPjoosmSkhKoqamhf//%2BCAsLQ69evRAZGcnXOGtpaaFt27Y4efLke8dQ9PWrfeQt2HfPv%2B/22tra6NWrF3bs2FHpsSqrefPmEIvFePbsmcwFgCLvJvQcx6Gkwm8SRc/Bx14X715sKTpW2QvBj8X3uc/R%2BzRq1Ehudj4qSjl/JyvKylLCmOJ3S3eUIDMTkCsJEghlxabsaSFlxVXJn4lPkpOjnIsJZZU8lCssVE5SrIwxFI2Zm1v1cV6/rvoYFb15o5wxldhQgpeXp5wLwzt3qj5GRQkJyh%2BT8L6kGfY3b94gPDwcx48f5ysypkyZAl9fXyxYsEBupvxdISEhkEqlGDZsGICy9ZN169atUkzVutOppqYmvyARKJslLldaWoqcnByYmJjA19cXJ0%2BeRGZmJm7cuPHJj%2BPi4oLDhw8rLKWpmKgbGBhAJBLhyZMn/LHyj8tLapydnREREYFr166hdu3a6Nq1K38%2BOTlZ5jEyMzORp4xZgkowMjLC48ePZb6e9PR0fga%2BKjp06AAjIyOFV34ZGRlwcXFBUlISDA0NkZycLPOYSUlJ/PNaWe%2B%2BLpKTk%2BVuU/G18uLFC5l3It7HyMhI7sKtPG5CCCGEsPMlLTp9%2BPAh1NXV0b59e/5Yx44dUVBQIJNDKpKfn49NmzZh/vz5fG6Uk5ODZ8%2BeYdiwYbCwsMDQoUP5tXiVVa0Je4sWLRAeHo7CwkIkJyfLLBDcs2cPxo0bh9f/zAA8evQIJSUlMDIygra2NoCyjiTlCbGTkxNiYmIAlPULd3Jy4hPH8ePHo2nTphg1ahRiY2MhlUpRVFSEyMhI%2BPr6okWLFqhXrx50dXVhb2%2BPzZs3IysrC9nZ2QgICICVlRVfv21ubg51dXXs3r0bzs7O/JNtb28PPT09rFmzBnl5eUhPT6/0AltlGDBgALKyshAYGIiioiIkJydj4sSJ%2BO9//1up%2B2tpaeHZs2d8t5cNGzZg9erVAMpmnZcuXYrjx49j5cqVePv2LUpLSxETE4Px48ejTZs2aNmyJaytraGuro5t27ZBLBYjKSkJ%2B/btg5ub2yd9LS1atMD58%2BdRUlKChw8fIiwsTO42wcHByM7OxuvXrxESEsLXwGtrayM3NxcvXryQK2VxdnbGtWvXcOnSJZSWliIqKgqXLl2qdHwVnxNCCCGECFtaWhru378v868yJbQfk5WVhdq1a8tMRpbPkH%2Bs5fivv/4KY2NjdKuwVqNevXpo1KgRVq1ahcuXL8PV1RXe3t5yk4wfUq0J%2B4wZM5CVlQVra2vMmjULXl5e/LkJEybA1NQUbm5u6NKlCxYsWIAlS5agQ4cOaNCgAfr374/Zs2cjICAAQNlMaUFBAQCgsLAQSUlJ/GyzlpYW9u/fjz59%2BmDu3LkwMzODnZ0dtmzZggEDBuD48eN8XfXq1atRs2ZNODs7w8XFBbVq1cLmzZv/fULU1ODo6Ihbt27JbLikoaGBwMBAPHnyBHZ2dnBzc0OLFi0wb9686nwKefXr10dgYCDCwsLQvXt3jB49Gn369MHEiRMrdf8hQ4bg6tWrcHJygkQiQXp6OlJTU/nzdnZ2OHDgAJ4%2BfQpHR0d0794dy5Ytw9ChQ7Fp0yYAQK1atbBz505ER0fDxsYGXl5eGDRoEL/otrIWLlyIu3fvwsLCAuvWrZN5XZT7%2BuuvMWTIEHz99ddo3bo1fH19AQDW1tYwMDCAs7MzwsPDZe7TtWtXLF%2B%2BHBs2bED37t2xZs0arF%2B/HpaWlpWK693nhBBCCCHKUR0z7CEhIRgyZIjMv/JmHR9z4sQJdOzYUeE/RaW65T5UUSCVSvHf//4X48ePlzk%2Bbdo07NixA23atEHNmjUxYcIEGBsbf7DMWu5xOaHsiEMIyvqwjx07FrGxsYLZXfVTBQUpbyxlrh/zFm9RTlAA0LAhMGIEcOiQ8GrYlR2bst53bdiwbFHbwYPKieszOxspVL8%2B4OQEnD2rnBp2ZZWh1apV1rrvzh3h1bDXqfPvQl1l1LB/RjmoQk2aAN7eZb%2BIlFHDbm5e9THK6eoCPXsCly8rp4b9nwV9VWZmVrYQtls3pdSwl4iVm1b9f1l0WsnOzp/kyBH51soNGzb87M5v5a5evYpJkyYhNjYW6urqAMrq2u3s7HDq1Cm0bdtW4f3K20nfvHlTYavximbMmIGaNWvyrbM/RqmLTgkhhBBCCHlXddScK2r8oAwdOnQAx3FISEhAp06dAJQ1M9HV1f1gc46LFy/C2tpaLlnfuXMnunTpAisrK/5YYmKiTCXHx1RrSQwhhBBCCCFf0qJTPT09ODo6IiAgAG/fvsXr16%2Bxbds2fPPNN3znu3HjxuGPP/6Qud%2BDBw8UNrp48%2BYNli1bhqSkJBQXF%2BPnn39GcnIyv7dOZdAMOxEUKysrPHr0iHUYhBBCCPkf9uOPP2Lp0qVwdXVFjRo10K9fP8ycOZM/n5ycjOzsbJn7pKenK5zx/%2BGHH8BxHMaOHYuCggK0a9cO//3vfyvVAa8cJeyEEEIIIaRafUl92AGgTp062LBhw3vPv9v4AgDOnTun8LZaWlpYtGgRFi1a9NnxUEkMIYQQQgghAkYz7IQQQgghpFp9aTPsQkMJOyGEEEIIqVaUsFcNlcQQQgghhBAiYDTDTgghhBBCqhXNsFcNzbATQgghhBAiYDTDTgghhBBCqhXNsFcNJeyEEEIIIaRaUcJeNZSwE6JkaWnKG0vtn6K1t2%2BVMG6NvCrHw6tVq%2Bz/ggIgTwnjSiRVH6Ocjk7Z/3l5wDu70H0WdfWqjwEARUX//l9QUPXxPmFL648Sicr%2B79sX4Liqj6eM1wTw73PfsqVyXiM1lPgnr/yHs3Nn5WQi3bpVfQzg36/RwwMoLa3ycMlFDas8RjkNDaAJgNfteqKkpOrjNREr4bX6Dw0AJTdvK2csTZFSxgEAmJkBt29Dw6obcOdO1cdTxs83YYISdkIIIYQQUq1ohr1qaNEpIYQQQgghAkYz7IQQQgghpFrRDHvVUMJOCCGEEEKqFSXsVUMlMYQQQgghhAgYzbATQgghhJBqRTPsVUMz7IQQQgghhAgYzbATQgghhJBqRTPsVUMJOyGEEEIIqVaUsFcNlcQQQgghhBAiYDTDTgghhBBCqhXNsFcNzbATQgghhBAiYDTDTgghhBBCqhXNsFcNzbATAICjoyOOHDnCOgyF/Pz8MHfu3Pee9/DwwJYtW6r8ODdv3kT79u1RXFxc5bEIIYQQ8i%2BpVPn//pfQDHs169u3L1JTU6GmVnZt1KBBA1hZWcHLywtt2rSp0ti//fYb%2BvbtCz09vSrHee7cuc%2B%2Bb/v27aGhoQGRSAQAEIlEaNKkCQYPHgxvb2/UqFG1l9ny5curdH9CCCGEkC8ZzbCrgJ%2BfH%2BLi4nDnzh0EBwejQYMGGDp0KK5fv/7ZY0okEqxatQqZmZlKjPTzBQYGIi4uDnFxcbh79y7Wr1%2BPkJAQ7Nmzh3VohBBCCGGMZtirhhJ2FapRowZatmyJ2bNnw93dHX5%2BfhgzZgxWr14tc7utW7di2LBhAICgoCD07t0bXbp0gaOjI06dOgUAsLS0RF5eHgYPHoytW7cCAGJiYuDh4YFu3brB0dERmzZtgvSfV/T8%2BfOxYMEC/Pjjj%2BjWrRusrKxw4MAB/jH79u2LX3/9FQBQXFwMPz8/2Nvbo1u3bhg9ejT%2B/vvvSn%2BdampqMDU1xYgRI3DhwgX%2BeEJCAsaNGwcLCwtYW1tj48aNkEgkAID09HRMmTIFlpaWMDc3x8SJE5GSksLHPnPmTH6cbdu2wd7eHtbW1ggMDJR57DFjxmD9%2BvX85y9evED79u2RmJgIAHj%2B/Dk8PT1hZWUFKysr/PDDD8jLy6v010YIIYQQompUEsOIj48Pfv31V7i7uyMkJARz587ly2YuXLiAoUOH4s8//8S2bdtw9OhRtGnTBrdu3cKUKVNgZ2eH0NBQODg4IDQ0FK1bt8abN2/g6emJuXPnYtiwYXj06BG%2B%2B%2B47NGrUCN9%2B%2By0A4OzZs1iwYAFu3LiBy5cvw8fHB%2Bbm5jA2NpaJbdeuXbh37x5OnTqFmjVrws/PD35%2Bfjh06NAnfY0lJSX8xwUFBfDy8sKoUaOwa9cupKamYurUqahZsyYmT56MzZs3o7S0FJcuXYK6ujrWrVuHNWvW4D//%2BY/MmFFRUdi5cyf27NmDzp07IygoCI8fP0aPHj0qFZOfnx/09fVx5coV5OXlYdy4cdi5cydmzZr1SV9bubS0NKSnp8sc09BoiK%2B%2BavRZ473rq69k/68S9cZKGOQfSg0Myp0qUXZsakqa11B2XP%2BUoCl1LGWNqa6u3HGUNZ6yvpcVx1LWmFUsHeQp%2BTnT0FDKMAD%2B/RKV9aUKlpmZ8sYq//v8zt/pL9H/2oy4sv1//7ERrAYNGkBXVxf6%2BvrIy8vDzZs3YWNjg%2BTkZPz9998YMGAAYmNjAQA1a9aESCSClZUVYmJioKamhvz8fJnxTp06hWbNmvHJeefOneHm5oYLFy7wx5o1awYPDw8AQL9%2B/dChQwdcunRJLmGfNGkSxo0bhzp16gAoW5A6ffr0Sn9tpaWluHv3LkJCQuDt7Q0AiIyMBMdxmDp1KgDA0NAQnp6eCAoKwuTJk5GTkwN1dXVoa2tDXV0dfn5%2BfE18RRcuXIC9vT0sLCwAAFOmTMG%2BffsqHduOHTugpqYGTU1N6OnpwdbWFvfv36/0/d8VEhLCv8NR7vvvffDdd9M%2Be0xFhgxRxigTlTGIrMGDlT%2Bmsri7s45AMSE/Z8rKzjQ1lTNOuX9%2BFwlSrVqsI1BMV1cpwzRRyiiyGjSohkGVQGkXJ7dvK2mgCg4eVP6YKkYJe9VQws5QaWkpdHR00K9fP/z%2B%2B%2B%2BwsbHB%2BfPnYWtri6%2B%2B%2Bgq2trawtLSEo6MjrK2t0bt3b7i5uaF27dpyY7148QKtW7eWOdaqVStcunSJ/7xly5Yy55s1a4a0tDS5sd6%2BfYuffvoJMTEx/IVBxdlyRaZOncon2BKJBHp6enziDwDJycnIyMhA586d%2BftwHAfNf/6we3l5YcqUKejVqxd69eoFR0dH9OzZU%2B5xUlNTYWhoyH%2BuoaGBpk2bfjC2iu7fv48NGzbg8ePHKCkpgUQigbm5eaXv/67hw4ejb9%2B%2BMsdOnmyIXbs%2Be0gZX31VlqwfOwZkZFRtrO/Ug5UTFFAW2ODBQGho1QMDlD/D7u4OHD%2BunNiUOcOuzOds9Oiqj1FOJCrLVkpKAI6r%2BngFBVUfAyibJa5TB8jNBf4pn6vyeMqiplaWrOfnK%2Bf1W1pa9TGAsq9RVxfIyVHKc/a6uL4SgipTo0ZZsv7mjXK%2BXGW9WQX8%2B/JXylhW3ZQzEFA2s37wIDBqFJCQUPXxquNigqgEJeyMPHv2DAUFBWjVqhXq1KkDX19fLFu2TGZGXEtLC7t370Z8fDzCw8Px888/Izg4GMePH1c45rsz0hzHySTaknd%2BeXMcp3AWe9asWdDS0kJoaCiaNGmCiIgIfqb8fQIDA/kEOyQkBJs3b4abmxt/XktLC23btsXJkycV3t/U1BRhYWG4fPkywsPD4ePjAw8PD/j5%2BcncTiwWy91X/QN/hKUV/pBmZ2fD29sbI0eOxO7du1G7dm2sWbMG8fHxH/zaPqRRo0Zo1Ei2/OXYMeD1688eUqGMDCWMWSNVKbHIyMgAUpUwrjKSsXcp5UmDcpM8QHnPmTISa0VjKmNcZX8/JRLljKnMMqJyylr9pqyEvZxEopQxlZXEVlRaWj3jCsadO8ofMyGhesZVIZphrxpadMrIli1b0K5dO7Rr1w42NjaoVasWjhw5gsePH8PBwQFA2Qx8Tk4OTExM4Ovri5MnTyIzMxM3btyQG8/IyAhPnjyROZaUlCQzG52cnCxzPiUlBU2ayL/hGRsbCw8PD/7cp5aMeHh4wMjICKtWrZKJLzk5WaaUJzMzk1/wmZOTgxo1aqB///5YvXo1li1bhqNHj8qN3ahRI7x69Yr/XCwWy3xdmpqaKCoq4j9//vw5//GTJ0%2BQn58PT09P/l2KBw8efNLXRgghhJBPR11iqoYSdhVLTU3FwoULERYWhhUrVgAo66oycOBAbNy4EQ4ODqhZsyYAYM%2BePRg3bhxe/zNL%2BOjRI5SUlMDIyAja2toAgL/%2B%2Bgt5eXlwcHDA8%2BfPERISgpKSEsTGxuL48eNwr1DHm5KSgqNHj0IsFuPcuXN49OgRevfuLRejvr4%2BYmNjIRaLERERgZs3b/KxA8CGDRvkOttUJBKJ8OOPP%2BL06dO4cuUKAMDe3h56enpYs2YN8vLykJ6ejunTp/MdXTw8PLBt2zYUFxdDLBYjISEBzZs3lxvb3t4eV69eRWxsLIqKirB161aZWfQWLVrg%2BvXryMrKwtu3b3GwQt1fs2bNoKamhjt37iA/Px%2B7d%2B9Gbm4u0tPT5d59IIQQQggRCkrYVWD58uXo3LkzTExMMGjQIBQUFODIkSMwNTXlb%2BPm5oa8vDwMGjSIPzZhwgSYmprCzc0NXbp0wYIFC7BkyRJ06NABDRo0QP/%2B/TF79mwEBARAX18fW7duRUhICCwtLTFnzhz4%2BvrKlKX07NkTsbGxsLGxwZIlS7B06VK0a9dOLt7Fixfj3LlzsLKywokTJxAQEIBOnTphwIAByMzMRHp6Op%2B8v0%2B7du0wfvx4LFmyBPn5%2BdDQ0EBgYCCePHkCOzs7uLm5oUWLFpg3bx4AICAgADdu3IC1tTXs7Ozw119/ybRnLDdgwACMHj0akydPRq9evaCpqYmuXbvy5z09PVGnTh306tULY8eOxdixY/lzjRs3xqxZs7Bw4UI4ODigqKgIa9asQU5ODkYrsx6YEEIIITJohr1qRBxXHYWQ5FPduHEDCxcuxMWLF/n2jso0f/58FBcXY9OmTUofm8j66SfljdWkCfDdd8CuXVUvx/avserjN6qsxo2BiROB4GDh1bA3aQJ4eQG7dwurhl3Zz9lntiJVSCQq6%2BwiFiunhl1ZexuoqwP16gFZWcp5jSizn6Ca2r8LYpWROShYn/NZatQA6tcHMjOVUsOeXNRQCUGV0dAo%2B/F8/Vo5NewKKjo/m1IXnWoqca2EmVnZQtFu3ZRTw84w5auvvPXLPIHsHakStOhUANLS0rBy5Up4enpWS7JOCCGEEMLS/9qMuLJRdshYUFAQnJyc0L17d4wcOZJ1OIQQQgghSkclMVVDM%2ByMeXt7f7RlojJ8aJEoIYQQQggRLkrYCSGEEEJItfpfmxFXNiqJIYQQQgghRMBohp0QQgghhFQrmmGvGkrYCSGEEEJItaKEvWqoJIYQQgghhMxylesAACAASURBVBABo4SdEEIIIYRUqy%2BxrWNcXBy%2B/vpreHh4fPS2e/fuhaOjI8zNzTFy5EjExsby54qLi%2BHv74%2BePXvC2toa06ZNw9u3bz8pFkrYCSGEEEIIqeD333/HtGnT0Lx584/e9uLFi9i2bRvWrl2Lq1evwsHBAVOmTEF%2Bfj4AYMOGDXjw4AFCQkJw7tw5iEQiLFiw4JPioYSdEEIIIYRUqy9thr24uBghISHo0qXLR2975MgRDBkyBF26dIG2tja/c31ERAQkEgmOHTuGqVOnomnTpqhbty5mzJiByMhIpKamVjoeStgJIYQQQki1%2BtIS9mHDhqFx48aVuu39%2B/fRsWNH/nORSARjY2PExcXh2bNnyM3NRadOnfjzrVq1gra2Nu7fv1/peKhLDCGEEEII%2BeKkpaUhPT1d5ljDhg3RqFEjlcaRlZWFunXryhyrW7cuMjMzkZWVBQDQ1dWVOa%2Brq4vMzMxKPwYl7IQomb%2B/8sZKS0vDli0hGD58uBJ%2BAX1avdyHpKWlIWTLFiXFpVxCjU2ocQH/xBairNcZAC2tqo%2BBL%2BA527tXcLEp%2BzkzVEJM5Sr%2BPjM0FNhzpszXP8dVfYx/8N/Ps2cF9Tr7HEp8WnhbtoRg69atMsd8fHwwbdq0j973xIkTWLhwocJzK1euhJubW5Vi4zgOIpHos8%2B/i0piCBGw9PR0bN26VW4GgTWhxgUINzahxgUINzahxgUINzahxgUINzahxgUIOzYhGD58OI4dOybzb/jw4ZW6r5ubGx48eKDw36cm6/Xr15ebLc/Ozkb9%2BvWhp6cHAHLnc3Jy%2BHOVQTPshBBCCCHki9OoUSNBvPNgYmKC%2B/fvw93dHQAgkUjw4MEDfPPNNzA0NETdunVx//596OvrAwAeP34MsVgMExOTSj8GzbATQgghhBDyCZycnBATEwMAGDlyJE6cOIG7d%2B%2BisLAQ27dvh6amJnr37g11dXV4eHhgx44dePXqFTIzM7Fx40Z8/fXXaNCgQaUfj2bYCSGEEEIIqcDR0REvX76ERCKBVCpF586dAQBnz56Fvr4%2BkpKSUFBQAADo2bMnZs2ahfnz5yM9PR2dOnXCzp07oa2tDQDw9fVFQUEBhg8fjtLSUtja2mLJkiWfFA8l7IQIWMOGDeHj44OGDRuyDkWGUOMChBubUOMChBubUOMChBubUOMChBubUOMChB3b/3fnzp374PlHjx7JfD5q1CiMGjVK4W01NTWxePFiLF68%2BLPjEXFcdazbJYQQQgghhCgD1bATQgghhBAiYJSwE0IIIYQQImCUsBNCCCGEECJglLATQgghhBAiYJSwE0IIIYQQImCUsBNCCCGEECJglLATQgghhBAiYJSwE0IIIYQQImCUsBNCCCGEECJglLATQkg1sLa2xsyZM3H48GEkJyezDocQlbty5QqkUinrMAj5f0HEcRzHOghCyL%2BuX78OGxsbueNSqRTbt2/H999/zyCqf2VkZODVq1cwMTFhGke5vLw8/Pbbb0hKSoJYLJY7v2rVKgZRAbdu3cKff/6JmJgY3L17F3Xr1oWNjQ1sbGxgbW2NBg0aMIlL6DiOg0gkYh0GUQIzMzPUqlULzs7OGDRoEDp37sw6pA9as2YN0tLSsGHDBpU/tqLfXe%2BjqalZjZEQoaKEnRCBsbCwwKJFi%2BDu7s4fS0pKwty5c/H27VuEhYUxiSs7OxuzZs3C1atXUaNGDcTHxyMtLQ2enp4IDAyEoaEhk7gmT56M2NhYdO3aFdra2nLnN27cyCAqWVKpFA8fPkR0dDR%2B%2B%2B03JCYm4uHDh6zDUiguLg5FRUXo3r07k8fv0aMHXF1dMXjwYBgbGzOJ4VOtW7cO6enpWLt2LZPHj4qKwtq1a/Hs2TOFiR%2Br15pYLMbly5dx4cIFREREoH79%2Bhg4cCAGDRrE7PfFh2zcuBHp6elMLvKNjY0rfaEq1N8dpHpRwk6IwMTHx%2BP777/H0KFD4evri3379mHjxo1wdXXF/PnzUbt2bSZxTZ8%2BHZqampg1axYcHR0RGxuL0tJSbNiwAU%2BePEFQUBCTuMzMzHDq1Cno6%2BszefwPKS4uxr179/iZ9vj4eBgYGKBbt25YtGgR6/AUcnZ2xtOnT5klBSdOnMCFCxdw9epVGBgYYNCgQXB1dUWzZs2YxFMZ69atQ1paGtatW8fk8fv06QNbW1v07t1b4UVrjx49GEQlSyKR4ObNmzhz5gzOnj2L1q1bw8PDA66urjRjjLJ35CrL0tKyGiMhQkUJOyEClJqaCh8fH2RkZKC0tBQ//fQTevXqxTQmc3NzXL58GbVq1UKXLl1w7949AEBRURF69eqFmzdvMonLyckJv/32G7MLmffx8PBAeno62rdvj27duqFr164wNTVVmFAJSUlJCTiOY55EFRYWIjIyEhcvXkRkZCTat2%2BPwYMHw9nZmdn3WqjlOt27d8f169dRo0YN1qG816tXr3Dq1CmcOXMGiYmJ6N27N96%2BfYuUlBRs2bIFnTp1Umk8b968wdOnT1FUVCRzXCQSwc7OTqWxVJZUKsWYMWNw4MAB1qEQBoT7003I/5B338auX78%2BgoODsXDhQhQXF8Pa2pq/DatESkdHR%2BECsuzsbEgkEpXGUvH5Wrx4MVavXg1PT0%2BFs%2Bysni8tLS1IJBKIxWKIxWJIJBJ8CfMjGhoa8PPzw/Lly5nGoaOjAycnJ5ibm8PY2Bg7duzAvXv3sGbNGowcORI%2BPj7Q0tJSaUw9e/YUZLmOm5sbTp06BTc3N9ahyMjOzsbZs2dx8uRJ3L59G127dsXw4cPh4uKCOnXqAAAOHjyI%2BfPn4%2BTJkyqLa9euXdi0aZPC32cikYh5yUl%2Bfj527tyJ%2B/fvy/yue/PmDXJychhGRliiGXZCBOB99YvlP54ikYif3WP1x2T27NkQi8WYOXMm3NzccOXKFSQkJGD9%2BvUwMjLC%2BvXrVRbLu8/Xh2Y%2BWf7xLSkpQVxcHGJiYhAdHY3Y2FgYGBjAwsICCxYsYBZXudDQULmkIDU1FdHR0YiJiWEWV15eHs6dO4eTJ08iOjoanTt3xuDBgzFgwABkZWVh6dKl0NPTU%2BlrDhBuuU5SUhImTpwIDQ0NNG7cWO5nYd%2B%2BfUziMjExQbNmzTBw4EC4ubm9t27d1NQUsbGxKovLxsYGc%2BbMgYuLiyDf8Zo9ezYePXoEOzs7/PLLLxg7diwePHiA3NxcrF27Fq1bt2YdImGAEnZCBOBLqF/Mzs7GvHnzEBERAaDsIkIkEsHFxQX%2B/v6oW7euymL5Ep6viiQSCR48eICYmBgcOnQIz58/Zz6Lt2rVKpw4cQJdunTB1atX0aNHDzx%2B/Bj16tXDzJkzmdU9%2B/r6IjIyEg0aNMCgQYPg5uaG5s2by9wmJycHvXr1wp07d5jEKLRynYEDB0JdXR2WlpYK33X44YcfVB4TAAQGBmLq1Klyx4uLixEeHg5nZ2cGUQFWVla4du0a1NXVmTz%2Bx1hbW%2BPMmTOoX7%2B%2BzMXMnj17UFxcrPA5Jf//UcJOiIAp6vjAurb47du3SE5OhpaWFgwMDARXOy4UkZGRuH37Nm7fvo34%2BHg0aNAA1tbWsLS0hLW1NRo2bMg0Pnt7e/z6668wNDTkk4LS0lKsWrUKnTt3ZlZesWjRIri5uX20S82pU6fg6uqqoqgUS09PR2hoKHbs2IHi4mJoaWkxKdcxMzPD1atXUbNmTZU9ZmVUXOtSUUpKClxcXBSeU4XVq1ejQ4cOGDx4MJPH/5iKFxTm5ua4cuUKatasiYKCAvTr1w/Xrl1jHSJhgBJ2QgTm2rVrWLlyJZ4%2BfaqwNpzVzKyzszPOnDnD5LE/pG/fvu8th1FTU0Pjxo3Rq1cvjB8/HhoaGiqLq3fv3rCysoKVlRWsra2Zl028y8LCgi97MTMzw82bN6GpqYnMzEwMHToU4eHhKoslKSmp0rdt2bJlNUbycUIs15k2bRomTZokmD7ne/fuxe7du5GRkYGvvvpK7nxeXh709fVx%2BvRpBtEBy5cvxx9//AF9fX0YGBhATU12D0kWfdgr8vLyQuPGjbF48WKMHz8e3bt3x4QJE3D37l3Mnz%2Bf2QJ/whYtOiVEYBYvXgwrKyvMmTMHOjo6rMPhNWzYEJGRkcy71bzL09MT27dvR/fu3dGhQweIRCIkJCQgJiYG48aNQ35%2BPg4dOoSMjAzMnz9fZXFFRESgtLQUsbGxuHPnDm7dugUjIyOYmZkJotNImzZtEBQUBE9PTxgZGSE0NBTDhg1DRkYGsrOzVRqLs7OzzDoNADILdIWwhgOQL9dZtmyZTLmOrq4uAgICVP4z0rFjR0yfPh3dunVDkyZN5BLQWbNmqTSesWPHwtzcHCNHjlRYjqOlpaVwczhVyc/PF9zvsYoWL14Mf39/cByHWbNmYfLkydi1axfU1NRU/r0kwkEz7IQIjJmZGaKjowXXos3Pzw/h4eHQ19dH06ZN5WarWc1KTZ06FR4eHujdu7fM8YiICJw%2BfRrr1q3Ds2fPMG7cOL7%2BXhUSEhIwefJkpKen46uvvgLHcXj79i0MDAywd%2B9eNG3aVGWxKHL37l1Mnz4dp0%2BfxuXLlzFnzhzUqVMHeXl5%2BOabb7B06VKVxZKSklLp27Lsty/Ucp0xY8a895xIJGK26DQ2NhampqZMHvv/k5ycHDx58gRNmzZF48aNWYdDGKGEnRCB8fb2xrRp02BiYsI6FBkf62rCYndAoOwC58aNG3I1w2KxGLa2toiJiUFpaSmsrKzw559/qiyu8ePHo2XLlpg1axbfwi4nJwfr169Heno6tm/frrJY3qfijHZCQgIePHgAfX19WFlZqTSOkpIS/gLwY1u0s17DceTIEXTs2JHvG37x4kW8efMGI0aMYBqXUMyfPx%2BrV68G8PHFrixLT8p3YH358iVKSkpgZGQENzc3WFhYMIup3MdKxFiXhRE2hDWFRwhBv379MHfuXPTp00dhfeXw4cOZxMUqIf%2BYxo0bY9OmTZg6dSp0dXUBAAUFBdi5cycaNmwIjuOwefNmtG/fXqVxPXz4EEFBQTIXErq6upg/fz769u2r0lgU8fb2ltmd1tjYGMbGxsjLy8OIESNw6NAhlcViYWHBL0A0NTX9YMkQy5KYTZs24dSpU9i0aRN/rHbt2li7di1SU1Mxffp0ZrH99ddfCAsL4xPQ5s2bY8CAAe9tpVhdKr7zxvri6n3279%2BPtWvXok%2BfPvzESHlrzA0bNuDrr79mGl/FErFyFX8mWHeYImzQDDshAvOhZE4kEiEsLEyF0cgS4qxUbGwspk2bhvT0dNSuXRvq6urIyclBnTp1sGHDBtjY2MDJyQkBAQHo2LGjyuLq06cPDh48KFf6kpqaimHDhuHy5csqi6WihIQEPHz4EP7%2B/go3R0pMTMT%2B/ftx9%2B5dlcUUExPDv4Y%2B1rKTZZvOHj164PDhw3Lf01evXmH48OHMvqd//PEHZs%2BeDWNjY7Rq1QocxyEpKQl///03goODBTFrLCQDBw7EggULYGtrK3M8KioK69atQ2hoKKPIyrxbIiaVSvHs2TP8%2BuuvGDdunCBa1RLVo4SdkC9IVlYW6tWrx%2BSxK85Klb8lm5SUhIiICOazUlKpFHfv3kVaWho4jkODBg3QpUsXpjN8y5cvx59//glvb2%2B0atUKIpEIiYmJ2LlzJzp06IAVK1Ywievq1avYvXs3rl%2B/jgYNGsid19LSwvDhwzFp0iQG0Qlbt27dEBUVJdc%2BMTs7G71792bWF37IkCEYN26cXJvCEydO4ODBgzh8%2BDCTuF6%2BfIm1a9ciICAAALBy5UocPXoUzZs3x/r169GqVSsmcZmbm%2BPWrVtyfdglEgksLS1VWjr3Kd6%2BfYtx48apdFdYIhxUEkPIFyItLQ2urq6ftGmQMh0%2BfBhBQUHvnZVSZcKuqOZZUc2/WCxmlrTPnTsXGzZsgL%2B/P3JzcwEAdevWhbOzM%2BbNm8ckJgCws7ODnZ0dPD09sWfPHmZxvE9UVBTWrl2LZ8%2BeKaxnZ1kOYG9vj4ULF2LKlCnQ19eHVCpFUlIStm3bxmyjKQB4/vw5BgwYIHfc1dVV4bsoquLv789f3F%2B5cgUhISFYtmwZHj58iBUrVjB7/RkYGCAyMlLu3cyoqCjBtV%2BtSF1dHS9evGAdBmGEZtgJEZjExEQsWrQIDx48QElJicy5Dh064NixY0ziEtKsVMUNWYyNjRXWPAuhDWC5nJwcAOBr7Fl59eoVX87x8uXLD96WVeLSu3dv2NnZoXfv3gq3jWeZGL99%2BxZ%2Bfn6IiIjg64tFIhEcHBywatUqZpuIubi4YPny5ejWrZvM8Xv37mHu3Lk4d%2B4ck7i6d%2B%2BOq1evQlNTE35%2BfpBIJFi1ahXEYjF69OjBrJ/4xYsXMWPGDNja2qJ169YAgCdPnuDq1atYvnw5s03Dym3cuFHuWFFREa5fv446derg4MGDDKIirNEMOyECs3TpUjRv3hzfffcdpk%2Bfjm3btiE%2BPh63bt3C5s2bmcUlpFmpijNzrFrWKRIVFVXp29rb21djJIo5OTnxFzrlG04Jrd95fn4%2Bli1bJri2pgCgp6eHwMBAZGVl4cWLFxCJRDAwMEDdunWZxjV27FhMmjQJAwcOROvWrfnyq5MnT8Lb25tZXGpqapBKpZBKpYiMjMSSJUv4c%2B9ORqhSv3798Ntvv%2BHYsWN49uwZgLLOK1OnTkWXLl2YxVVOUWmVlpYWrKys4OnpySAiIgQ0w06IwFhYWOD69evQ0NDgt4wHyra6Dw0NVTj7ogpCn5USAmNj40rdjlVC/PTpU7Ro0QJA2ffuQ1jVF69YsQKdOnUS7OvpzZs3ePr0KYqKiuTOsbgIKxcWFoZjx47xJRNGRkZwdnaGi4sLs5imTp0KiUQCdXV1xMbGIjw8HOrq6ti2bRtu3LhBM8WEfAJK2AkRGHt7e5w5cwZ16tSBtbU1fv/9dzRq1AglJSWwtrZmuiAqISFBYVLAclYqOjoay5cvR1JSksJZOyGUxAjZgwcPkJaWBpFIhMaNG1f6oqO6lLfX09DQQOPGjeXKnVi%2Bo7Jr1y5s2rQJUqlU7pxQyq%2BE5M2bNwgICEBOTg68vLxgamqK3NxceHh4ICAgQKWtVoXeH37r1q2Vvq2Pj081RkKESnjvORLyP65379749ttvcfDgQZibm2PBggXw8PDAvXv3mHWIKdeuXTvMnDkTOjo6AIDMzEx%2BUyBW/P39YWpqimnTpsltnkTeLzY2Fj4%2BPkhLS4OWlhY4joNYLEazZs2wbds2dOjQgUlcvr6%2BqFu3LiwtLQX3/QwODsby5cvh4uKisL5elT62kVlFrPZQaNCggdyi1zp16uDMmTMqj0Xo/eGvXLki8/njx49Ro0YNNG3aFOrq6khOToZUKoWZmRmjCAlrNMNOiMCIxWLs2rUL3t7eyMjIwMyZMxEXFwcDAwP4%2B/vLdWlRlYSEBEydOhVz586Fk5MTgLIZx4MHDyIoKAjt2rVjEpeZmRlu3rwpyD/Cinz77bd49uzZJ9W7VwdHR0f06tULkydPhp6eHgAgPT0dO3bswLVr15gkVUDZ9/Pq1atyrROFwMrKCteuXZNbeM3CrFmz%2BI/La8T19fVhaGgIdXV1JCYmIjU1Fc7OzsxaiIrFYvznP//BhQsX8Pr1a5SUlMDAwADu7u7w9vaW2xROVW7duqWwl3lxcTHCw8Ph7OzMIKp/bd%2B%2BHaWlpZgyZQq/lkMsFmPr1q3Q0tLC999/zzQ%2BwgYl7ISQShk5ciR69eqFCRMm8DOfJSUl2Lt3Ly5dusSsHtXHxwdTpkzht4oXuosXLyI3Nxfu7u5M4%2BjSpQuio6PlLnSKiopgZWXFL05VtWnTpmHSpEno3Lkzk8f/kNWrV6NDhw5y/c5Z%2B%2Bmnn2BsbIxhw4bJHD9w4AD%2B/vtvmcWeqrR06VJcv34dY8aM4Td0evLkCfbv34/BgwczSzwrdpmqKCUlBS4uLsxe%2B%2BVsbW0REREh97NZXFyM3r174/r164wiIyxRSQwhApKXl4fbt28DAKytreV%2BYR84cADffvsti9CQkJCAX375RWZ2UUNDAxMmTEBgYKBKYwkJCeE/NjMzw5w5c%2BDg4AB9fX25mufhw4erNLZyr1%2B/RpMmTeSO9%2BvXj0E08rp06YK///5bbvfXJ0%2BeMF2T0LFjR0yfPh3dunVDkyZN5GZhK84sq1ppaSnWrFmDX375BQYGBnKxsah9BoDff/9dYYnMsGHDYGtryyxhv3LlCoKDg9G8eXP%2BmJ2dHezt7TFp0iSVJ%2Bx79%2B7F7t27IRaLFS4QzsvLg4GBgUpjUkRNTQ3379%2BXK3959OgRs3clCHuUsBMiEA8fPoSXlxdyc3MhlUqhp6eH/fv3o3nz5khKSsKiRYuQmJjILGFv2LAhbt%2B%2Bje7du8scv3r1Kl9SoSpBQUFyx06fPi13TCQSMUvYnZ2dERMTI4jyCUX69%2B8PX19f9O/fHy1btoREIsHz589x/vx5eHh44MSJE/xtVdmx5dq1a9DX10dqaipSU1Nlzinqt69K%2Bfn56NWrF9MYFKlTpw4iIiLkLgavX7/OrDc8AOTm5vJ9/ysyMDBAVlaWyuMZO3YszM3NMXLkSIULT7W0tGBjY6PyuN41cuRITJgwAT169OBb5r569QpRUVEYM2YM4%2BgIK1QSQ4hAeHl5oU2bNpgzZw4kEgmWL1%2BOt2/fwsTEBIGBgfj666%2BxYMEChdvJq0JoaCiWLl0KOzs7mV0eb926hfXr16N///5M4hKqNWvWQEdHB56enqhVqxbrcOR8SgtC1vX25R4/fsxsrcTHXL58GT179mTy2IcPH8aSJUvQoUMHPsF7%2BfIlEhISsGDBAmZJ3rhx49C1a1f4%2BPjwiz5LS0uxbds23Lp1CwcOHGASV2xsLExNTZk8dmVFRUXh4sWLfO1/o0aNYG9vr3BHW/K/gRJ2QgTC2toaFy9e5GfEsrKyYG1tDSMjIyxevJhpj%2Bdy8fHxCA0NRXJyMoCyto5Dhgxh3gpQiAYOHIi0tDTk5eWhTp06chsBCSUJVuTJkyfM%2BrCXe/PmDcRiMf95amoqPD09%2BZIxVvLy8pCYmCgXm7%2B/v8INb1TlyZMnCAsLQ2pqKsRiMZ/gde3alVlMf/31Fzw9PVFUVAQDAwOIRCK8ePEC6urqCAoKYrZOobCwEJs3b8alS5f4lqZNmjRB3759qdsUESwqiSFEIAoLC2Xevq5Xrx40NTVx6tQpwXRAMTExgYmJCeswKoV1N5aJEycyedxPlZubK5d8jhkzhlm//9u3b2PGjBlIT0%2BXO8dqBrtcWFgYZs%2BejcLCQpldYnV0dJgvRG3VqhVatWqFzMxM1K9fn2ks5dq2bYuLFy/i8uXLMns3WFtbM%2B0CNHv2bDx9%2BhSjR49Gs2bNwHEcXrx4gcOHD%2BP58%2Bf4z3/%2Bo/KYhN4nnrBHCTshAiYSiQSRrO/cuROWlpb8bN3Jkyexdu1aFBQUwMXFBf7%2B/oKIs6IJEyYgNzeX2eOz7gLzMbGxsZg1axZSUlLkzllbWzOIqMyKFSvg7u4OZ2dnDBs2DMePH0d8fDzOnz%2BPH3/8kVlcALBx40YsWLAALi4usLW1xc2bN3H//n3s378f48aNYxZXcXExVqxYgd9//x2lpaWIj49HVlYW5s2bh1WrVql8jUk5f39//PTTT4JZaF3u6tWrOH/%2BPBo1aiRz3MnJCY6OjkxiEnqfeCIAHCFEEExNTSt1TNW2b9/O2dnZcbdv3%2BY4juNSUlK4Tp06cf7%2B/ty5c%2Be4oUOHcps2bWIW36tXr5g99odIpVIuKCiIc3Z25iwsLDiO47i8vDxu2bJlXFFREePoOG7YsGHc6tWruXv37nEmJiZcfHw8FxISwk2aNInLyMhgFpeZmRknlUo5juO4zp0788f//PNPbuLEiazC4jiO47p27cp/XPFn89GjR9zw4cNZhMRxHMf5%2B/tz48eP56Kjo/nnLC8vj5s1axY3c%2BZMZnH169ePe/78ObPHfx8HBwcuNzdX7nh2djbn4ODAICJCPo5m2AkRCLFYjBEjRnz02KFDh1QZFkJDQxEQEMC3GDt9%2BjSaNGnCz3Y2b94cvr6%2BmDFjhkrjKifUbiwBAQGIiIiAt7c3/P39AZT1rU9MTMSqVauwdOlSpvElJibi0KFDUFNTg0gkQqdOndCpUye0bNkSCxYsUNiJRxV0dXWRlpaGxo0bo06dOkhOToahoSE6d%2B7MvH69QYMG%2BOuvv9C2bVvUq1cPCQkJMDY2hpGRER49esQsrnPnzuHMmTPQ09PjO%2BnUqlULS5YsYTZjDABDhw7F1KlT0bNnTzRr1kxuHQerDk5%2Bfn7w9/eHl5cXWrRoAalUiufPnyM4OBizZ8%2BWKRFjMdv98uVLrF27FgEBAQCAlStX4ujRo2jevDnWr1/PfH0JYYMSdkIEQlFPYiEsNE1NTYW5uTn/%2BfXr12Va27Vr1w6vX79mERoAYMSIEdi2bZvgurEcOXIER44cgb6%2BPhYvXgygbF3C%2BvXr4e7uzjxhr127NjIyMtCwYUPUrl0bKSkp0NfXR9euXREdHc0sLldXVwwdOhRnzpyBvb09pk2bhkGDBiEuLg76%2BvrM4gLK1kV88803uHLlCvr374/JkyfDwcEBCQkJTLvXiEQiha99iUSC4uJiBhGVOXz4MAAo3DWXZctVHx8flJaW4uzZszLHOY7DH3/8IXPs4cOHqgwNQFkpUcuWLQGU9bIPCQnBsmXL8PDhQ6xYsQJ79uxReUyEPUrYCREIHx8f1iEopKGhAbFYDC0tLZSUlODu3bvw8PDgz4vFYpn6S1WLiopCWloagoKCBNWNpaSkROHGSTo6OsjPz2cQkSxnZ2d4eHjg5MmTsLW1xfTp0%2BHu7o7Y2Fg0btyYWVyzZ89GmzZtUKtWLfj7%2B2PZsmU4fPgw9PX1sW7dOmZxAcD48eNhYmICXV1dzJs3chqIVwAAIABJREFUD7Vq1UJcXBxat26NKVOmMIvLzMwMa9aswZw5c/hjKSkpWLFiBSwtLZnFFR4ezuyxP2TPnj3Me/p/SGxsLLZv3w6g7N0TFxcXuLm5wcXFBT169GAcHWGFEnZCvhApKSkQi8X8zIuqtG3bFmFhYXBxcUFoaChKS0thZ2fHn7958yYMDQ1VGlNFQu3G0qlTJ%2BzevRve3t78scLCQqxfv14QnXbmzp2LVq1aoWbNmli8eDH8/PywZ88e6OvrY82aNSqPx8HBAWFhYQD%2B3ajphx9%2BYFaao8iJEyf42GrUqMGXgRUWFuLQoUOYMGECk7j8/f0xZcoUdO/eHaWlpTA3N0dBQQHMzMyYdxQpKirCpUuXkJqaivHjxwN4/y7AqmJlZcXssStDTU0NUqkUUqkUkZGRMjvVlpSUMIyMsER92An5Qjg7O%2BPp06cqf4v20qVLmDFjBgwNDZGUlAQvLy/MnDkTABAREQE/Pz94e3vTDnzvSEhIgJeXFwAgIyMDbdu2RXJyMvT09BAYGIj27dszjlBYTE1NERsbK3OsS5cuuHfvHqOI/iWVSlFaWoru3bsjJiYG7/7ZfPz4MUaNGiUXv6rFxcUhOTkZWlpaMDIyQtu2bZnGk5CQgHHjxkFXVxevXr1CfHw8UlJS4Orqim3btsHW1pZJXB8rNWS9R8LUqVMhkUigrq6O2NhYhIeHQ11dHdu2bcONGzdw8OBBpvERNihhJ%2BQLkZqaitLSUiZ1vHfu3EF0dDRatWol06Jtz549KCgowLRp01QeUzmO47Br1y6cOHEC6enpiI6ORn5%2BPjZs2IB58%2BYx3QSlsLAQkZGReP78ObS1tWFkZAR7e3u5sh1V%2B%2BOPP5CbmytXQ/zDDz9g8ODBTPqdK0rOhZKw792796PvOnTt2hW//vqriiJSLDY2Fq9fv%2BZ3HS4uLmb6%2Bvfw8MDgwYPx7bffylyQ/fHHH9izZw%2BOHj3KJK7jx4/LfC6RSPD8%2BXOEh4fDy8uLfxeFlTdv3iAgIAA5OTnw8vKCqakpcnNz4eHhgYCAALrY/1/FsEMNIaSSsrKyWIcgWBs3buQGDRrEnThxgm9pl5mZyY0dO5ZbsmQJs7iuXbum8LhEIuG2bt2q4mj%2BFRkZyZmYmHCHDx%2BWO7d//37OzMyMu3fvnsrjEmpb03IZGRlcp06duJs3b8r9u3fvHicWi5nFlpKSwjk5OXGmpqaciYkJx3Ec9%2BLFC87Gxoa7f/8%2Bs7i6dOnClZSUcBwn%2B72USCQyLTKF4sGDB8xbhxLyPmqsLxgIIbIePnyIYcOGASibPf7%2B%2B%2B9hZWUFGxsbplufv09KSgqSkpKYPf6RI0cQGBiIwYMH8wvJyruxXLx4kVlc06ZNk5vJS0pKwvDhw3Hs2DFGUQHBwcGYO3cu/xqraPTo0fD19UVgYCCDyIRNT08PkZGRaN%2B%2BPdq2bQtLS0tYWlqiadOmMDAwYLrw2s/PDw4ODoiOjuZ/BvT19TFp0iSsWrWKWVwNGzbEy5cv5Y7HxcXJ7OosFG3btmXeOhQo%2B72/c%2BdODBgwAN27dwcA5Ofn48cff2Ta9YewRQk7IQLz448/8m9pnzt3Drdu3cL%2B/fsxadIkrF27lnF08ry8vODi4sLs8YXajWXv3r0ICAjgtznft28f3N3d0b59e4SGhjKLKyEh4YNv%2BQ8dOhRxcXEqjKiMRCLB4cOHERISwv9TdIylv/76C3379sWtW7f4Y5cuXUL//v2ZtsK8c%2BcOfH19oampKdP9ZPTo0UzaEpYbOHAgvvvuO4SEhEAqleLixYvYunUrJk%2BeLNNpStWioqLk/l28eBGLFi2S2/2UhYCAAJw%2BfRqTJk3iE/SKeziQ/01Uw06IwJibmyM6OhpqamqYPXs26tatC39/f5SWlsLa2hoxMTGsQ5TBsrYeKGu1Z2NjA29vb77mubCwEGvWrEFiYiL279/PJC6g7Lnx8fFBRkYGSktL8dNPP8n0sGfBzMwMt2/ffm9bO4lEAgsLC5W/m9O3b9%2BP3kYkEvGdZFhwc3PDhAkTMHjwYJnjp0%2Bfxp49e5i9c9KnTx8cPnwYDRs2lKn7T0xMxLfffosbN24wiYvjOPz88884duwYv47D0NAQI0aMwDfffMOstaKxsbHcMU1NTTRv3hwLFy6EjY0Ng6j%2BZWtry%2B/hUPH7mZ6eDnd3d%2BaLYgkb1NaREIHR1NREfn4%2BNDU1ERUVhfXr1wMoW0AmtOvr7Oxspj27AWD%2B/Pnw8vLC/v37IRaLMWjQIJluLKpUcYdEAKhfvz6Cg4OxcOFCFBcXw9ramr8Nix0UAcDIyAjR0dHv7c99%2BfJlGBgYqDgq4fbsrujZs2dwdXWVO96/f3/4%2BfkxiKhMnz594Ovri%2B%2B//x4cx%2BHhw4dISEjA9u3bMWDAAGZxiUQiTJw4UXCtVxMSEliH8EFCfdeQsEUJOyEC06NHD4wdOxZqamrQ1dWFra0tiouLsXLlSpiZmTGL6%2BHDh1i8eDGOHDkCjuPg4%2BODsLAw1K9fH4GBgcxiMzY2xoULFwTRjcXU1FThrGH5hVbXrl3BcRxEIhGzUgV3d3csWLAAwcHBaN68ucy5Bw8e8Fu2E3kGBga4cOECnJycZI6fOHECzZo1YxQVMG/ePKxduxbTp0%2BHWCyGu7s76tWrh%2BHDhyvcQVlVJBIJLly4gMTERIW117NmzWIQVVmLXEW7rwqF0PdwIGxQSQwhAlNYWIi9e/ciJycHo0aNgqGhIQoLC%2BHj44MVK1Yw23Bk5MiR6Nu3L7777jucPXsW/v7%2BCAwMRHx8PM6fP8%2Bspd3169cVvoUtlUqxfft2lSYsFWubP4bVDpRSqRQzZ85EWFgY7Ozs0LJlS5SWluLvv//GrVu34OzsjPXr1wt6J0hWoqKiMG3aNLRo0QL6%2BvqQSqVISkrCq1evsHv3blhYWDCNj%2BM4ZGRkQFtbWxCLOstfZ%2B3bt4e2trbMOZFIhH379jGJa%2BzYsfD09GRenvY%2BtIcDUYQSdkIESCqVQk1Njf84ISEBTZs2Rf369ZnFJNTaegsLCyxatAju7u78saSkJMydOxdv375lWvOcnZ2NunXrAgByc3Nx48YNGBoaKqyhVbVLly7hwoULSE5OhkgkQosWLdC/f/%2BPbirzvy41NRVnzpzhnzdDQ0O4urriq6%2B%2BYhZT165dcfv2bf53hlB069YNhw8fRps2bViHIsPPzw/h4eHQ19dH06ZN5Tr8sN4dFiibuImIiEBycrKg9nAg7NB3nhCBuX79OubOnYsrV65ALBZj1KhRiI%2BPh6amJjZv3ow%2BffowiUuotfV79%2B7F999/j%2BTkZPj6%2BmLfvn3YuHEjXF1dMX/%2BfGZxnT59GkuWLEFMTAzy8vLg5uaGzMxMlJSUYOnSpRg6dCiz2ICyumdWr6UvWePGjTF%2B/HhkZmYyvYCuqE%2BfPjhy5IjcRlis1atXj8l6iI%2BRSCSCnV0vp6OjA2dnZ7njhYWF0NHRYRARYY1m2AkRGHd3d3h6esLV1RXHjh3Dxo0bcfjwYcTGxmLnzp3MOlHMnTsXf/31F9TU1JCbm4uzZ8%2BipKQEP/74I1JTU7F7924mcQHC7Mbi7OyMZcuWwdLSEgcOHMDPP/%2BMkydPIiEhAYsWLcIff/zBNL73iYuLQ1FREd//mfyruLgYK1aswO%2B//47S0lLEx8cjKysL8%2BbNw6pVq6Cnp8ckrsmTJ%2BPevXtQU1NDkyZN5GaMDx06xCSuEydO4P79%2B5g1a5agkszXr18zKy38EKlUit27d/P7RwwaNAijR4/mz0dFRWHJkiVM3zUk7NAMOyEC8/TpU74TxaVLlzB48GA0a9YMzZo1w8KFC5nFtWzZMpnaejU1NUilUrx%2B/RorVqxQaSxfQjeW169f83XqERERcHNzg46ODszMzPDq1SsmMVXG3Llz8fTpU6b9u4VqxYoVSE5Oxu7du/nOJxoaGqhduzaWL1%2BOjRs3MonLxMREkIsRf/75Z6SkpODAgQOoX7%2B%2B3LoIVu0JnZ2d8eeffwquhGjHjh0ICQnBiBEjIBaLsX37dnAch8GDB2PlypU4deoUJkyYwDpMwggl7IQITK1atZCWlgYtLS1ERUVh165dAICsrCym9Ys6Ojrw9vaWqa1PSkrC%2BvXrVV4a8CV0Y6lXrx4SExOho6ODGzduYObMmQDK3g14dwGekPz%2B%2B%2B%2BCax8qFOfOncOZM2egp6fHv/5q1aqFJUuWwNHRUeXxODg4ICwsDD4%2BPvwxb29vBAUFqTwWRcaPH886BIVGjBiBLVu2wMvLC7Vq1WIdDi80NBRbt25F586dAQB2dnaYMWMGgoKCYGhoiOPHj6Nt27aMoySsUMJOiMC4uLjgm2%2B%2Bgbq6Olq1agULCwvk5%2Bdjzpw5TBcECqm2nlV3iU8xYsQIDBkyBCKRCNbW1ujYsSNyc3MxZcoUubaALAQHByvsj/1uOQX5l0gkUpjgSSQSJlvGp6f/X3t3Hldz3v%2BP//EuWhCG%2BVgqIWMbPhFZojBxRSFlnwtzYZAsE1kaw2RNk6uYsSbLGMvYKevYkqUFYZTvVWOusiTJkqWaVOecfn/4OR/HOREzc17vOo/7X/V6ndutx20MPc/rPN/P10OtNVGXJOny%2BoPgcnL%2B/Hk8ePAA4eHhsLCw0DoIEXXyn5WVpS7WgZeXnD158gTz5s3DoEGDhGQi%2BWDBTiQzX3/9NVq2bImcnBz1pScVK1ZE3bp1MWPGDGG5lixZAn9/fwDAoUOHcP/%2BfURFRSExMRErVqzQa8H%2B5khEOU5j8fb2hoODA3JyctCpUycAQKVKldCrVy9ZnDxu3LgRAwYMUP93o3ezt7dHcHCwxt/DjIwMBAYGChnT%2BbZPmeSguLgY69atQ0REBB4%2BfIhLly4hLy8PoaGh8Pf3h6mpqZBccrvI6ZU3/%2ByMjY1RoUIFFusEgA%2BdEsnW48ePkZmZKZveVHt7e/V19ZMnT4aNjY26cGnTpg2uXLkiJNeb01j69esnbBpLUVGR%2BoT6zT77N4nqrX9l8%2BbNOHPmDHr37o26detqnTLyoVNt9%2B7dg4%2BPD1JTU6FQKFC5cmX88ccfsLe3R2hoKOrWravXPK9fW/%2B2NVGWLVuG6OhojB49Gt9%2B%2By0SExPx9OlT%2BPr6omHDhpg3b57oiLIi9z9PEosn7EQy8%2BzZM/j5%2BSEmJgYVKlTA9evX8eDBA3z55ZdYvXo16tWrJySXXHvrV65cidWrVwN42QMqSRJiYmLU01j0WbA7ODiof7mW1Gf/iuiHOhcvXgwAiImJ0doT2fsvZ5aWloiMjERSUhLS09NhamoKGxsb9hWXYPfu3di9ezesrKwQEBAA4OWzHSEhIfDy8hJWsBcWFmL58uU4ceIE7t%2B/j6KiIlhbW8PLy0vjOR19UyqViImJ0ThpV6lUWmu8K8EwsWAnkpmAgADUqFEDp0%2BfVj/IVqNGDTg5OWHRokXCHiiTa2%2B9nKaxbNiwQf213PvsExMTRUcok1QqFRQKBYyNjaFUKpGfn69%2BwFnflEoldu3apVHM6VoTNZ%2B9qKhI5/hEc3Nz5OXlCUj00uLFixEXF4cRI0bA1tYWxcXFSEtLw5YtW6BSqfR6O/LrFAoFvvzyS63119f4ZtpwsWAnkpnz58/j7NmzqFy5sroIqFChAnx9fYXOFpdrb72cprG8fjW9iJ7m9/GqJee3335DZmYmunXrBkCzrYc0Xb58GZMnT8aTJ09gYWGB4uJi5ObmombNmli9ejXs7Oz0mqdWrVoICwt765okScIK9hYtWmD9%2BvXw9vZWr%2BXn5yMkJERoq9%2B5c%2BewceNG1K9fX73WuXNnODk5Ydy4ccIK9pSUFCE/l8oGFuxEMmNubg6VSqW1/uzZMyiVSgGJXjIyMoKHhwceP36Mu3fvonr16jAxMcGCBQuEZQLkO43l0qVLWLRoEW7evImioiKtfdGnZFlZWRg3bhxSU1MBANevX8e9e/cwZMgQrF%2B/Hk2bNhWaT45mzZqF/v37w9vbGxYWFgBe/r0MCwvDjBkzcOzYMb3miYqK0uvPe19ff/01xowZgy1btqCwsBAeHh5IT0/HRx99hDVr1gjLlZOTo/N5A2trazx9%2BlRAIqJ340OnRDIzffp0FBYWYurUqfD09MS5c%2BeQkpKCkJAQ2NjYICQkREguufbWAy9PPl9NYzExMYFSqcSGDRswcuRIYQ939urVC3Z2dnB1ddU5DcPZ2VlAqv8zZswY2NraYurUqejQoYO6RSY8PBwxMTH46aefhOaTo1atWuHSpUta/08VFBSgffv2fDhQh/z8fJw5cwZ37tyBubk5bGxs0LlzZ6HPvfzrX/9C69atMWnSJPWnSQqFAqtWrcLFixexbds2YdneJjg4GA8ePEBoaKjoKCQAC3YimXn27Bn8/f0RHR0N4OVH2pIkwd3dHd9%2B%2B62wMXy%2Bvr4wMTGBn58fevbsicTERCgUCoSGhiItLU2vvfVlYRqLvb09Lly4IHwaTEns7e0RHx8PU1NTjUkURUVFcHR0REJCguCE8jN69GhMmTJFq/UlKSkJy5Ytw8aNGwUlk5%2BkpCRUrFhRPVrV1dVV/Qlh69athRadv//%2BO7788ku8ePEC1tbWkCQJd%2B/ehbGxMdauXasxC11Oli5diocPHyIoKEh0FBKALTFEMlOtWjWEhYUhOztbPYnC2toaVapUEZpLTr31ZWEaS%2BfOnfH777%2BjRYsWQn7%2Bu1SrVg15eXlap//37t2DsbGxoFTy1qVLF/j6%2BsLFxQUNGzaEUqlEeno6oqKiMHDgQOzcuVP9WlF943Jw/fp1jBgxAtOmTVMX7JmZmViwYAGUSiWWLVuGX375RVjLWuPGjXHy5EmcPXsWd%2B/eBQDY2NigY8eOqFSpkpBMpeHn54dnz56JjkGCsGAnkqFHjx7h1q1bePHiBXJycvDo0SP1nqiJLHLqrZfrNJbXCzZ7e3vMmDED3bt3h5WVldabCtEF3avi86uvvkJxcTFSU1Px22%2B/YcWKFbK4iVWONm/eDEmScPr0aZw%2BfVpjb8%2BePeqvRT7oKQdr167FwIEDMWLECPWakZGR%2BubT4uJi7N27V9j/Z0%2BfPkX16tXRo0cP9drt27dlXawDL5876du3Ly5evCg6CgnAlhgimVm3bh2WLVumszgWOdJLrr31cuLi4gLg5Z/T2/5plSQJp06d0lcsnfLz8xEYGIiDBw%2BioKAAwMubWIcMGQJfX1%2B9T9ih8qNLly7YsWMHLC0t1Wt2dnbq5ySePXsGNzc3xMbG6jVXYWEhxo0bB2trayxatEhjr3fv3mjcuDGWLVsmZETn61JTUzFnzhz8v//3/7QeWG/evDn27dsnKBmJxIKdSGYcHR0xY8YMuLu7y6pokmtvvdymsbwaD%2Bfs7IzOnTvjo48%2B0uvPf19FRUV48OABzMzMULNmTdFxZG3x4sXw8/PT%2Bnt57949BAQEYP369YKSyUvr1q3x66%2B/aqwlJCRojD0VcYPnDz/8gKioKISHh6N27doae48fP8bIkSMxaNAgfPHFF3rN9aYRI0bA0tISrq6u8PX1xapVq3D9%2BnVcvHgRP/zwA6pXry40H4nBgp1IZjp06IDY2FjZ9hHLrbdebtNYfv75Z8TFxeHixYvIyclBixYt0KVLFzg7O6NVq1bCT%2B9ed/PmTZw5cwZZWVmQJAl169ZFt27dhE78kbNhw4ape7GdnJxQXFyMn376CcuXL4e7u7vWqa2hcnZ2RkRERIlvADMyMvD555/j7Nmzes3l5uaGxYsXw97eXud%2BQkICFixYgAMHDug115scHBwQFxeHihUranwycebMGURGRmLp0qVC85EYLNiJZOa7775D8%2BbN0a9fP9FRtLzeW/8mUb31cp3GUlxcjKSkJMTFxSE2NhZXr16Fubk5HB0d0aVLF/Tv319ovt27dyMgIAC2trawtLREcXExMjIycPv2bSxevBienp5C88nVwYMHERISAgcHB6Snp0OhUCAgIACtW7cWHU02vv76a1SuXBnffvutzv1p06bB1NQUixcv1msue3t7JCQklHgYolQq0a5dO1y5ckWvud7k5OSEo0ePwsLCAh07dsSBAwdQq1YtFBUVoWPHjrh8%2BbLQfCQGHzolkhmFQoHg4GBs3boV1tbWMDIy0tgXNQ5Nrr31cp3GIkkS7OzsYGdnB29vb%2BTn52Pfvn3YvHkzjh07Jrxg//7777F06VK4ublprB86dAhBQUEs2EvQt29fFBQU4Ntvv0WlSpWwdu1aFutv8PHxwYABA/D8%2BXMMHz4c9erVg1KpRGpqKn788UckJiZi7969es9lYmKC/Pz8Ej8VfPbsmdD58K9069YNw4YNw88//4y2bdti1qxZGDx4MK5du8Z2GAPGE3YimZk1a9Zb90XN4JVTb/3r01hyc3Oxd%2B9eWU5juX//PmJjYxEbG4v4%2BHgUFhaiXbt2cHR0xPDhw4XlAoA2bdrg0qVLWqeNPMUr2Y0bN7Bw4UI8fvwYCxYsQHp6OpYsWQIXFxdMnz5d9s8r6FNycjIWLlyIK1euaPyd7NSpE%2BbMmYOGDRvqPdOECRPQokULTJw4Uef%2Bd999h1u3biEsLEzPyTQVFhZi3bp18Pb2xuPHjzF16lQkJSXBysoKAQEB6NSpk9B8JAYLdiIqFTn11st5GsvJkyfVRXpWVhZat24NR0dHdOzYES1bttT6xESUgIAAODg4wMPDQ2P98OHDiI%2BPx8KFCwUlk6/WrVtj9OjRGD9%2BvLoFKzs7G4sXL8a5c%2Bdw4cIFwQnl59UzL5IkoUGDBqhataqwLImJiRgxYgRGjBiB4cOHo06dOgBejnTcsGEDIiIisHXrVq2LsYjkgAU7kQzs2bMHAwcOBKB5evwmSZIwePBgfcXSILfeerlOY2nWrBkqV64MDw8PjBgxAra2tqIj6TRv3jwcOnQI9evXR8OGDaFSqXDnzh3cvHkT3bt313hjxpsVX/r999/RuHFjnXsxMTHo3LmznhPR%2Bzp79izmzZuHzMxMmJmZQaVSobCwEPXq1cO8efOEnV6X9ncAIP4OBxKDBTuRDPTq1Qu//PILgP87PdZF5PzuRYsW4ciRI7CyspJFb71cp7GkpKQgLi4OMTExuHz5MmrWrIlOnTqpT9nl8sbCz8%2Bv1K819KkUR44cgbu7%2B1tfM3v2bAQGBuopEf0ZKpUK169fV99y2qBBAzRv3lzoBKey8DuAxGLBTkSlItfeejlPYykqKsLly5cRFxeHuLg4pKSkoFGjRnB0dMTMmTOF5aL38%2BbMcEdHR8TFxb31NUREfyUW7EQy9NtvvyE6OhoPHjyAJEmoU6cOPvvsMzRq1Eh0NNl7fRrLnTt3hE2veVNaWhrOnTuHbdu2IT09XTa53pSUlISCggKNS24M3euzsHV9X9IalS3BwcF48OCBsElcr%2BPvAHqT%2BPlFRKRh27ZtWLRoEZo3b66ej52QkIClS5di/vz5GDRokN6ylIXeeqDkaSwjRowQlik7Oxvx8fGIiYlBbGws7t%2B/j08%2B%2BQTdu3dHly5dhOV6l5kzZ%2BLWrVuyfUMhwputErpaJ%2BR0IRZ9mIoVK8riPgc5/Q4g%2BeAJO5HMODo6YuHChejRo4fG%2BrFjxzB//nzExsbqLYuc%2ByrlOo0lJCQEsbGxSElJQeXKleHo6AhnZ2d06dJF6zp0OSoqKkJxcbEsChe5eLPdRVf7C1tiyofi4mLhb77k9DuA5IMFO5HMtG3bFhcuXNC6wKOoqAiOjo5ISEgQlExe5DqNpX///nB2doazszPs7e1lMQaT/hwW7OVLz549cezYMa31p0%2Bfws3NTev5BH3j7wDShS0xRDLj6emJiIgIdSvKK4cOHULfvn0FpXpJTn2VERER6mksAwYMkM00ln379gn5uaWVn5%2BPkJAQnDhxAsbGxnB3d8eUKVNQsWJF0dFkS6lUYteuXeqZ/29%2B/2qN5O3Vg%2BkZGRk6Jx/dunULhYWFApJpkvPvABKHJ%2BxEMvPNN9/g2LFjsLS0RMOGDaFUKnHnzh1kZGSga9euGq0e%2Bnw4SldfZUZGBm7cuCG8r5LTWEovODgY58%2Bfx5dffgmFQoFNmzahZ8%2BemDx5suhosvW2drDXRUVF/c1J6M/4z3/%2Bg7179%2BLnn3/W%2BVC1mZkZ%2BvfvDzc3NwHp/o9cfweQWCzYiWTmXeMTX6fPUYplpa%2ByrExjEeUf//gHwsLC1J%2BK3LhxA5MnT9bZIkBUHi1atAhz5swRHaNEcv0dQGKxYCeiUpFrX2VJ01icnJzQpUsXODo6CsklV2/2WhcXF8Pe3h6//vqrwFRE%2BpWUlITU1FQUFBRo7fEmUZIj9rATyYxKpcK2bdvUveIAUKdOHbi4uGDo0KHCJhjIra9S1zSWCRMmlJlpLHIhSRJ4bvPn%2BPn54d69e9ixY4foKFQKgYGB2LJlC2rUqAEzMzONPUmSZFGwb9%2B%2BHSdOnMC9e/dQVFQEGxsbeHl5wcPDQ3Q0EoQFO5HMBAQEIDo6Gn369EHXrl3VveIrV67EjRs3MHfuXCG58vPzERQUhJ9%2B%2BklnX%2BW0adPUr9VHX2VsbCycnZ3xzTffcBoLCdW2bVvZTCmid4uMjMSPP/4o20/fvv/%2Be%2BzcuROenp5wc3NDcXEx0tLSEBgYiD/%2B%2BANDhw4VHZEEYEsMkczY29tj7969WgXAf//7XwwaNAhXr14Vkot9leVDs2bNUKdOHY21%2B/fva61FR0frMRWR/jg5OeH06dOynYzUq1cvhISEoGXLlhrriYmJ8Pf3x9GjRwUlI5F4wk4kMxYWFrC2ttZat7KygoWFhYBEL7EILx8WLlwoOkKZdv/%2BfRw6dAj3799XP7iYmJgIOzs7wcmotEaOHImNGzfC29tbdBSdHj58iGbNmmmtf/rpp%2Bo2STI8PGEnkpk9e/YgKSkJU6dORfXq1QG8vNBj%2BfLlaN68ubDxiXLtrSfSl/j4eIwbNw5t2rQA75YHAAAbgklEQVTB5cuXkZSUhMzMTPTp0wcLFixA7969RUekUpgwYQKuXLmCChUqwNLSUutWZNHPIgwZMgReXl5arS%2B7d%2B/G9u3bZX/XA/09WLATyYyrqyuysrJQWFiIqlWrQqVSITc3FxUrVkTVqlU1Xnv%2B/Hm95ZozZ466t/71OeyHDx%2BGq6ursN56%2BjAHDhzAL7/8grt378LY2Bi2trbo27cvunXrJjqabPXt2xe%2Bvr7o0aMH7OzskJiYCOBlIb9o0SIcOnRIcEIqjZUrV751f9KkSXpKoltCQgLGjBkDKysr9fjVmzdv4s6dO1ixYgW6dOkiNB%2BJwYKdSGb2799f6td6eXn9jUk0ybW3nt6PSqXChAkTEB8fDw8PDzRs2BAKhQLJyck4duwY3N3d8e9//1t0TFlq3bo1rly5AiMjI43xmEqlEm3btuVoTPrLPH78GIcOHcLdu3cBADY2NujevTssLS0FJyNR2MNOJDNvK8JnzJghrJiSa289vZ%2BdO3fi9u3bOHDgAGxsbDT2bty4gTFjxmDbtm0YNmyYoITyZWlpieTkZLRo0UJj/fz586hZs6agVPQhDh8%2BjMjISDx48AAREREoLCzEli1bMHr0aOHtfatWrcLEiRPxr3/9S2M9Ly8PgYGBmD17tqBkJBILdiKZUalU2Lt3L65fv47CwkL1%2BoMHD9QfwYvw1VdfITAwUGdvPa%2B1LzsOHDiAWbNmaRXrANCkSRMEBARg5cqVLNh1%2BOc//4kxY8Zg0KBBUCqV2LRpE3777TccOXIEM2fOFB2PSumnn37Cxo0bMWTIEISFhQEAnj9/joiICOTk5GDKlClCcj19%2BhTZ2dlYu3YtevfurXU/wo0bN7Bz504W7AaKLTFEMrNw4UIcO3YM9vb2iIqKQo8ePdSXA/n7%2B6NDhw5Ccsm1t57ej4ODA06ePKl%2B0/UmhUIBBwcHtneU4NixY9i3bx/u3LkDMzMz1KtXD0OHDkWnTp1ER6NS6tq1K9avX4/GjRtrtDalp6fjiy%2B%2BwOnTp4Xk2rt3L4KCgpCXl1fiZWaurq5Yvny5npORHPCEnUhmjh07hl27dsHS0hJ2dnb44YcfoFKpsGTJEty5c0dYwe7j4yPk59Jfq6ioqMRiHQAqVKjAm09fs27dOowdOxYAEBYWhvHjx6Nnz56CU9GfkZOTg8aNG2ut16pVC9nZ2QISvTRgwAB4enqiQ4cOiIyM1No3MzNj65UBY8FOJDMFBQXqB4uMjY1RWFgIExMT%2BPj4oF%2B/fsLGOsq1t57o77RmzRo0adIENjY2WL16NXr16lXiG5qGDRvqOR19iCZNmiAiIgKenp4a6xs3blRPZRHF2NgYCQkJePbsGapVqwbg5RuM%2BPh42NjYsGA3YCzYiWSmSZMmWLFiBcaPH48GDRpg9%2B7dGDZsGDIzM5Gbmyssl1x76%2Bn9FBQUvHN04%2Bt/voZuwIABGD9%2BvPr7Xr16aexLkoTi4mJIkoTk5GR9x6MP4Ovri4kTJ2LHjh0oKiqCj48Pbty4gWfPnmH16tWi4%2BHw4cOYO3cuEhISkJubC09PTzx58gRFRUWYN28eBgwYIDoiCcAediKZSUpKgp%2BfHyIiIhATEwM/Pz%2BYmJigoKAA//znP4U9cCTX3np6P7t37y7V60R9kiNHOTk5eP78OXr16oVffvmlxNdZWVnpMRX9GZmZmTh8%2BDDS09NhZmYGGxsb9O7d%2B63tYvri5uaG%2BfPno3379ti2bRt%2B/PFHHDx4ECkpKZg9ezaOHDkiOiIJwIKdSObS0tKQnJwMa2trtGrVSlgOJycnjd76xMREdW99o0aNWOBRuXfr1i00aNBAdAwq5%2Bzt7dX3WowdOxatWrVSX%2Bb0%2Bh4ZFrbEEMmEi4tLqeb/njp1Sg9ptMm1t57eX3FxMfLz81GpUiUAQHh4OFQqFQCgRYsWcHZ2FhlPVr7%2B%2Bmt89913AIAVK1a89bWhoaH6iER/UnJyMpYvX47bt2%2BjoKBAa1/Uv7GvVK9eHampqTA3N0d8fDymTp0KAMjKyoKZmZnQbCQOC3YimRg3bpz66%2BLiYgQGBmLOnDkCE2mSa289vZ/8/HyMHj0arq6uGDVqFABg%2BfLlsLOzg0qlwpo1axAZGcmT5P9fxYoV1V%2BbmJgITEJ/lalTp8LKygqDBw%2BWZQE8dOhQ9O/fH5IkoWPHjvj000%2BRk5MDHx8frWcoyHCwJYZIpl6fDywHcu2tp/ezdOlSnD59GuHh4ahbty4AqFucACAgIACSJGH%2B/PkiYxL9bdq0aYP4%2BHhZvwG7cuUKnj9/jk6dOsHExARKpRIbNmzAqFGjNN5EkuFgwU4kU3Ir2N8kl956ej9ubm5YuHAhHBwc1GuvF%2Bypqanw8fHB8ePHRUUsk9q0aYMrV66IjkGlMH36dAwYMACOjo6io%2Bg0ZMgQeHh4wM3NDTVq1BAdh2SCLTFE9FZy762n95OVlaX1BqtPnz7qr21tbfHw4UN9xyrzFAqF6AhUStOnT8fw4cNRr1491K5dW%2Bvft6CgIEHJXnJ2dsbu3bsRFBSEzp07w8PDA927d5dl%2Bw7pDwt2InoruffW0/sxMjLSWlu8eLH66xcvXsDY2FifkcqF0rypJXmYMmUKCgoKUKlSJVneOTBp0iRMmjQJ6enpOHHiBLZu3Yq5c%2BeiR48e8PDwQKdOnURHJAFYsBPJxM6dOzW%2BVyqV2LVrl9atikOGDNFnLAwdOlTj%2B%2B%2B%2B%2B05rjcqOpk2b4vTp03B1ddW5f%2BjQITRv3lzPqYj0JyUlBVFRUbJvN6lXrx5Gjx6N4cOHY8%2BePVi6dCkiIiJgZWWFsWPH8t9hA8OCnUgm1q5dq/F9rVq1EBYWprEmSZLeC3YqX4YNG4aAgABUr14d7du319g7efIkgoKCsGTJEkHp5OnmzZvvfA0fBys77OzskJubK/uCPT4%2BHgcPHsTx48dRuXJlDB06FJ6ennj06BGCgoKQmprKh/0NCB86JaL3IveHYendli5dinXr1qFRo0awsbGBUqlEWloaMjMz4evri7Fjx4qOKCvNmjWDJEk6i/JX65IkITk5WUA6el87duzA9u3b0a1bN9SpU0erTUz0oUhwcDCOHDmCnJwc/OMf/0C/fv3g6Oio0Xb14MEDuLu7IyEhQWBS0icW7ET0Xliwlw///e9/cerUKaSnp0OSJDRs2BCurq6wtrYWHU12MjIySvU6KyurvzkJ/RVcXFxK3JMkSfgD9F988QU6dOgAKysrVKpUCba2tvjkk0%2B0XhceHq7xjBGVbyzYieit3uytX7hwIQICAoT31hMRlTcXLlzA7NmzcffuXVStWhUKhQL5%2Bflo0qQJAgMD0bJlS9ERSRAW7ET0Vm87jXpFDqdS9Nc4fvw4nj9/joEDB4qOUmZs2rQJ2dnZ8PPzEx2FSunRo0e4desWXrx4obEuSRI6d%2B4sJFNqaioGDBiA/v37Y%2BLEiahZsyYA4Pbt21ixYgWioqKwe/duNGrUSEg%2BEosFOxERqY0YMQLp6emIjo4WHaXM8Pf3R2ZmJjZv3iw6CpXCunXrsGzZMqhUKq09kc8izJo1Cx9//DGmTZumc/%2Bbb77BixcvsHTpUj0nIzlgwU5EREQGw9HRETNmzIC7u7usLiNycXHBjz/%2BiPr16%2Bvcz8rKgqenJ%2BLi4vScjOSAYx2JiIjIYKhUKvTr1092F4Q9fvwY9erVK3G/du3ayMvL02MikhPtK%2B%2BIiMhg/fvf/8bMmTNFxyhT/Pz8eIlNGeLl5YVDhw6JjqGTrpuIX8cbdQ0XT9iJiEgDOyXfT9u2bWFrays6BpWSQqFAcHAwtm7dCmtra60iOTQ0VEiukm63fvM1ZJjYw05EZIBeXfZDZGhmzZr11v2goCA9JdFUmolcABAVFfU3JyE5YsFORGSAnJ2d0adPH/Tr1w/NmjUTHafMSE5Oxs2bN1FYWKi15%2BnpKSARva/79%2B%2BjTp06omMQvRcW7EREBigiIgInTpxATEwMrK2t4eHhgT59%2BsDS0lJ0NNlasmQJNm7ciCpVquicLnL%2B/HkBqeh92dvb4/Lly%2B/sFyeSExbsREQGLD8/H2fOnMHJkydx5swZNG3aFP369YObmxuqVKkiOp6sdOzYEcHBwejatavoKPQnBAcHw8zMDGPGjEHlypVFxyEqFRbsRESEhw8fIjIyEmFhYSgoKICpqSk%2B//xzTJo0CaampqLjyULnzp0RHR2NihUrio5Cf0Lfvn3x4MED5ObmwsLCAhUqaM7f4CclJEcs2ImIDFRubi6OHTuGgwcP4tKlS/jf//1f9OvXD71798bTp08xb9481KhRAyEhIaKjysK2bduQl5eHcePGiY5Cf8L%2B/fvfuu/l5aWnJESlx4KdiMgAffXVVzhz5gw%2B/vhjeHh4wNPTU%2BuGxefPn6Nr1664evWqoJTiDRkyRGOazs2bN2FiYgJLS0utKTs7duzQdzwiMhCcw05EZIAsLCywfv16tGvXrsTXVK1aFQsXLtRjKvlxdnbW%2BN7JyUlQEvqrFBcXY926dYiIiMDDhw9x6dIl5OXlITQ0FP7%2B/mwBI1niCTsRkYHKzs7G3bt3UVBQoLX3tkLeUF28eBHt27fXWi8oKEBUVBTc3NwEpKL3tWzZMkRHR2P06NH49ttvkZiYiKdPn8LX1xcNGzbEvHnzREck0sKCnYjIAK1duxYrVqyAQqHQ2pMkCcnJyQJSyVurVq1w7do1rfWMjAy4u7vr3CP56dSpE3bv3g0rKyuNP9OHDx/Cy8uLD52SLLElhojIAG3YsAELFixA9%2B7dYW5uLjqOrG3atAnr169HYWGhzpaY3NxcWFtbC0hGH6KoqEjnxUnm5ubIy8sTkIjo3ViwExEZoEqVKqFPnz4wMTERHUX2vvjiC7Rt2xaff/45pk2bprVvamoKR0dHAcnoQ7Ro0QLr16%2BHt7e3ei0/Px8hISFo2bKlwGREJWNLDBGRAdq/fz%2BuX7%2BOcePGoXbt2qLjlAmJiYmws7MTHYP%2BpJSUFIwZMwYA8PjxYzRu3Bjp6emoUaMGVq9ejaZNmwpOSKSNBTsRkQE6efIk5s2bh8ePH%2BvcZw/7S7pO1EsSGhr6Nyahv1J%2Bfj6io6ORnp4OMzMz2NjYwMnJSesSJSK54P%2BZREQGaP78%2BXBxcUGXLl04xu4t2DJU/syfPx%2B9e/fmVB8qU3jCTkRkgNq3b4/Y2FieKP5Fdu3ahcGDB4uOQaUwadIkxMTEwMLCAr169UKfPn3Y6kSyx4KdiMgArVy5ErVq1WKR%2BZ5u3ryJ5ORkFBYWqteysrKwZs0a/PrrrwKT0fsoKCjAmTNncOLECZw5cwZVqlSBu7s73N3d8emnn4qOR6SFBTsRkQHy8fHBlStXYGpqijp16sDIyEhjf8eOHYKSydfu3bsxd%2B5cWFhY4Pnz56hevTqePHkCS0tLDBkyRGPqCJUdCoUCsbGxWLduHRISEvj8BskSPwslIjJALVq0QIsWLUTHKFPCw8MRHh4OJycn2NnZIS4uDvfu3UNwcLDOG1BJ3goLC3H%2B/HmcPHkS0dHRMDY2xrBhw0THItKJJ%2BxERESlYG9vj6tXrwIAWrdujatXr0KSJNy9excTJkzAgQMHBCek0oiIiMCpU6dw/vx5VKlSBa6urnBzc0Pbtm0hSZLoeEQ68YSdiMhAbd%2B%2BHSdOnMC9e/dQVFQEGxsbeHl5wcPDQ3Q0WbK0tERcXBwcHR1Rs2ZNJCQkoF27dqhatSrS09NFx6NSCgkJQc%2BePREeHg4HBwcW6VQmsGAnIjJA33//PXbu3AlPT0%2B4ubmhuLgYaWlpCAwMxB9//IGhQ4eKjig73t7eGDNmDGJjY9G/f3/4%2BPjAwcEBaWlpaNOmjeh4VErnzp2DJEnIysrCtWvX1G9WeYEYyRlbYoiIDFCvXr10XsWemJgIf39/HD16VFAyebt79y6sra0BvHwINSkpCdbW1vj8889hYWEhOB2Vxr179zBlyhQkJSXhVQkkSRI6duyI77//HtWqVROckEgbC3YiIgPUtm1bXLhwQWsOu0KhQIcOHXD58mVBycqGJ0%2Be4KOPPhIdgz6Aj48PjIyM4OvrC1tbWwBAamoqfvjhB1hYWCA4OFhwQiJtRu9%2BCRERlTeffPIJ9uzZo7W%2Bf/9%2B1K9fX0Ai%2BSsoKEBAQABat24NZ2dnAMDTp0/h7e2N7OxswemotBITExEcHIwmTZqgQoUKqFChApo2bYqgoCDExMSIjkekE3vYiYgM0IwZMzBmzBhs2bIFjRo1AvDyUqA7d%2B5gxYoVgtPJU2BgINLT07F%2B/XqMHj0aAFCxYkVUqVIFixYtwtKlSwUnpNKQJAkKhULnnkql0nMaotJhSwwRkYF69OgRDh06hIyMDACAjY0NunfvDktLS8HJ5KlDhw44evQoatSogVatWuHatWsAgOfPn6Nnz56Ii4sTnJBKY%2BbMmXj8%2BDGmTJkCW1tbSJKkbompVKkSli9fLjoikRaesBMRGaiPP/4YI0eOFB2jzJAkCZUrV9ZaVyqVKCgoEJCIPsScOXPwzTffYPDgwRrrTk5OmDdvnphQRO/AE3YiIgOUkpKCZcuWITU1FS9evNDaP3/%2BvIBU8ubj44O6detixowZ6NixI65du4aMjAwEBgZCpVIhLCxMdER6D8%2BePcO9e/cAANbW1pzyQ7LGgp2IyAD17dsXtWvXhouLC8zNzbX2vby8BKSSt4yMDPj4%2BCAtLQ0KhQKVK1dGXl4e7O3tERoaylaiMigzM1M92rFatWo6P0EhkgMW7EREBsje3h7x8fEwNTUVHaXMSUpKQnp6OkxNTVG/fn188sknoiNRKW3btg2Wlpb47LPPAAAtWrSASqVCcXExbG1tsW/fPpiZmQlOSaSNPexERAaoefPmuH//Pkc4loKLi0uprq8/deqUHtLQhzp69CiWLFmC0NBQ9ZqxsTGOHz8OlUoFX19fbN%2B%2BHaNGjRKYkkg3FuxERAZo1KhR8Pf3R79%2B/WBlZQUjI81rOZycnAQlk59x48apvy4uLkZgYCDmzJkjMBF9iK1bt2LmzJno0aOHek2SJFhZWQEAfH19sWrVKhbsJEtsiSEiMkDNmjUrcU%2BSJCQnJ%2BsxTdny%2BkhHKjs6duyI48ePo2rVquo1Ozs7JCYmAnh5MZaTkxMuXbokKiJRiXjCTkRkgFJSUkRHINKrgoICjWIdgLpYBwATE5MSL1QiEo0FOxGRgVIoFEhMTERmZiaKiopgY2MDe3v7UvVrE5U1tWvXRlpaGmxtbXXuJyUloU6dOnpORVQ6LNiJiAxQSkoKvL298fDhQ3z88ccoLi5GdnY2rK2tsWnTJtStW1d0RKK/lKurK%2BbOnYtNmzbB2NhYYy8/Px9z586Fm5uboHREb8cediIiAzRq1Cg0aNAAfn5%2B6gtjnj9/jpCQEDx8%2BBBr1qwRnFA%2Bdu7cqfH9woULERAQgDd/fQ4ZMkSfseg95ebmYujQocjPz8eQIUNgY2MDpVKJ1NRU7Nq1C3Xr1sWWLVs41pFkiQU7EZEB6tChA86ePas1h/2PP/6Ai4sL4uPjBSWTHxcXl3e%2BRpIkjnUsA/Ly8hAeHo6TJ08iPT0dkiShYcOGcHd3x8iRI2FiYiI6IpFOLNiJiAzQZ599hp9//lmr9SUrKwuDBg3C2bNnBSUjIqI3sYediMgAde/eHRMmTIC3tzdsbW0hSRJSU1MRHh4OZ2dn0fGI9E6hUEClUvGUnWSJJ%2BxERAaosLAQoaGh2LdvH3JycgAA1apVg5ubG/z9/WFubi44IZF%2Bubm54datW7yDgGSJBTsRkYF7/vw5AGjNqCYyJImJiXjx4gXat28vOgqRFhbsREQGqLCwEKtWrYKzszMcHBwAAPv370daWhomT57MtgAiIhkxEh2AiIj0b9GiRYiNjUX16tXVa02aNMGlS5cQFBQkMBmRGFeuXMH58%2BdFxyDSiSfsREQGyNHREUePHtUo2AHgyZMn6N27N2JjYwUlIxKDPewkZ5wSQ0RkgBQKhc71oqIiFBYW6jkNkXhHjx4VHYGoRGyJISIyQD179sTEiRMRFRWFlJQUJCcn48iRIxg/fjx69%2B4tOh7R32bVqlU61/Py8hAYGKjnNESlw5YYIiID9OLFC4SGhiIyMlJjSkz//v0xffp0VKjAD2CpfHn69Cmys7Ph6emJAwcO4M3y58aNG5gxYwYSExMFJSQqGQt2IiIDcuTIEbi7u2usPXnyBJIkqfvZZ8%2BezZNGKnf27t2LoKAg5OXlaRXrr7i6umL58uV6Tkb0bizYiYgMSKtWrXDt2jX1946OjoiLi3vra4jKC6VSiQ4dOiAyMlJrz8zMDDVr1hSQiujd2MNORGRA3jyjycvLe%2BdriMoLY2NjJCQkoEqVKrCysoKVlRWqVq2K//znP3j06JHoeEQlYsFORGRAJEl66/clrRGVF4cPH0b37t0BALm5ufD09IS/vz8GDhyIvXv3Ck5HpBsLdiIiIjIYK1euxOrVqwEAkZGRkCQJMTEx2Lx5MzZs2CA4HZFuLNiJiIjIYNy/fx/t27cHAERHR8PT0xPm5uawt7dHZmam4HREunFuFxGRAVEqldi1a5e6T/3N71%2BtEZVX1atXR2pqKszNzREfH4%2BpU6cCALKysmBmZiY4HZFuLNiJiAxIrVq1EBYWVuL3r9aIyquhQ4eif//%2BkCQJHTt2xKeffoqcnBz4%2BPigV69eouMR6cSxjkRERGRQLl%2B%2BjJycHHTq1AkmJiZQKpXYsGEDRo4cCRMTE9HxiLSwYCciIiKDUVhY%2BNZ9FuwkRyzYiYiIyGA0a9bsraNLk5OT9ZiGqHTYw05EREQGY/PmzRrfK5VK3LlzB5GRkRg7dqygVERvxxN2IiIiMnjp6emYPn06du7cKToKkRbOYSciIiKD9z//8z%2B4ceOG6BhEOrElhoiIiAyGrhP0Fy9e4PTp06hfv76ARETvxpYYIiIiMhguLi5aa6ampqhfvz6mTJmCZs2aCUhF9HYs2ImIiIiIZIw97ERERGQwWrduDZ5VUlnDgp2IiIgMxmeffYZdu3aJjkH0XtgSQ0RERAZj/PjxuHbtGoyMjFCnTh1UrFhRY3/Hjh2CkhGVjFNiiIiIqNzLzMxE3bp10bJlS7Rs2VJ0HKL3whN2IiIiKvdatWqFa9euiY5B9EHYw05ERETlHs8nqSxjwU5ERETlniRJoiMQfTC2xBAREVG517x5c7Rq1eqdr%2BNDpyRHfOiUiIiIyj0jIyM4OTmJjkH0QXjCTkREROUeHzqlsow97ERERFTu8XySyjIW7ERERFTutWvXTnQEog/GlhgiIiIiIhnjCTsRERERkYyxYCciIiIikjEW7EREREREMsaCnYiIiIhIxliwExERERHJGAt2IiIiIiIZY8FORERERCRjLNiJiIiIiGTs/wO6zz6YiZNgCgAAAABJRU5ErkJggg%3D%3D\" class=\"center-img\">\n",
       "    <img 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XaLj09nePHj/Pwww9bx8qUKUO1atWIiYnh6tWruLi44O/vb13/8MMPk5aWxs8//2wzfrtUsIuYzcwveqlRA376CR56CAx%2B/bkT5s1%2BMzEt0zlqbmbnFRBgPEaeKlVg3Tpo3x7OnDEez8PDeAyAypVhxQro1g0SEozHy8kxHiNP5cqwahV06WJObmFhxmMA3H8/jB4NkyfDxYvG4w0caDxGnhIloFo1OHUKsrKMxzt82HgMgNKlISICNm2CtDTj8fbsMR4jz333weDBMHs2JCcbjzd%2BvPEYt80OX4K2fPZs3n33XZuxgQMHMmjQIFOf58qVK1gsFjw9PW3GPT09SU5Opnz58nh4eNh80Vvetslm/MOhgl3EsZUvDy4uuUsH4qBpAY6bm6PmBVC2bG5uZcve6UxseXjk5mXWGwAzOeo5K1UKnJ1zl47G2Tm3ZnN2sMm4rq65ebm63ulMCnJ3zz1f7u53OhPH1L17dyIiImzGKlSo8Kc9v8Viuem3MZv1bc0q2EVERETEvuzwTs3Hx6fY01%2BMKF%2B%2BPM7OzgW65VeuXMHLywsvLy%2BuXr1KdnY2Li4uAFy%2BfBkALy8vU3JwsPe5IiIiIiKOo2TJkjz00EMcOnTIOpaSksKpU6do0KABdevWxWKxEBsba10fExNDuXLlqFGjhik5qGAXEREREftydjb/x44SExNp06YNp0%2BfBqBHjx4sXryYEydOkJqayrRp06hbty7169fHy8uLyMhIZs2axaVLlzh37hxz5syhS5culChhzmQWTYkRERERkXtO/fr1Acj67SrojRs3Arnd8czMTOLi4sjIyADgmWee4cKFC/Tr149r164RFBRkc8HrhAkTeOutt2jfvj0lSpSgdevWN/0ypluhgl1ERERE7MvRrjYmtzAvSpUqVTh69Kj1sZOTE4MGDSryDjRly5Zl%2BvTppueYRwW7iIiIiNiXAxbsdxOdPRERERERB6YOu4iIiIjYlzrshqhgFxERERH7UsFuiM6eiIiIiIgDU4ddREREROxLHXZDdPZERERERByYCnYBIDIykpUrV97pNP5UO3fuxN/fn%2BvXr9/pVERERP7a7rJvOnU099bROrCIiAiWLVtWYHzZsmVERETY/fm//vprunbtavfnKa533nmHOnXqUL9%2BfetPcHAwffv25fDhw3c6PREREbkVKtgNubeOVu4qDRo0ICYmxvqzceNGateuzYsvvkhKSsqdTk9ERETkT6GC/S4SExNDz549eeSRRwgPD2fChAlkZWUBsGbNGh5//HFWrlxJ8%2BbNadiwIW%2B%2B%2BaZ1/ciRIxk1ahQTJkygUaNGBAcHs3TpUmvs/B3%2BkSNHMnHiRKZMmULTpk0JCQlh/vz51m0vX77MiBEjaNasGUFBQQwePJjLly8DkJ2dzeTJk2nWrBmBgYF07NiR7du3A5CWlsYbb7xBSEgIQUFBPPPMM7fULS9btiyvv/46V69eZf/%2B/QBcv36d6OhomjVrRqNGjXj22Wc5fvy4zXGtXLmSl156iaCgIB577DG%2B//77QuMfPHiQxo0bs23btmLnJCIiIsWgDrshukvMXWTYsGG0b9%2BeJUuWkJCQQPfu3fH396d79%2B4AJCYmEhMTwzfffENCQgLPPfccS5cupXfv3gB89dVXjBo1ih9%2B%2BIGtW7cycOBAGjduTJ06dQo81/r164mKimLbtm18/vnnREdH06lTJ3x8fBg5ciQuLi6sW7eOEiVKMG7cOIYPH87ChQtZv349X3zxBatWrcLHx4f169fzxhtvsGXLFhYtWsTRo0f56quv8PDwYOHChYwZM4bVq1cX%2Bxzk5ORgsVisjxcsWMCPP/7IunXrKF26NNHR0URHR/Pvf//bus2HH37I22%2B/TZ06dXjrrbeYPHkyX3zxhU3cxMREXn31VUaNGkV4eHix80lKSuL8%2BfM2YxVq1MCnfPlix/hDef82hfwb3aogwxF%2BZ2JapnPU3MzOq3Ztc%2BIA1KhhuzSqVClz4lSvbrs0Kt%2BfDsPMzq1KFXPi%2BPjYLo1yczMnDoCrq%2B3SKE9Pc%2BJ4eNgujapUyZw4AN7etku5d6lgdyCTJk1i8uTJNmM5OTk88MADAHz22We4ubnh7OxMlSpVCAoK4tChQ9Ztr1%2B/ztChQylVqhS1atWiffv2bNmyxVqwV65cmW7dugHQunVr6taty%2BbNmwst2H19fXn66acBaNu2LaNHj%2BbkyZO4uLiwefNmvvjiC8r/VpSOGDGCli1bcv78eVJSUnBxccHd3R1nZ2c6dOhAu3btcHZ2tllXokQJ%2BvXrR79%2B/Yp9fpKTk5k5cybly5cnODgYgJdeeonevXtTtmxZIPfi2SFDhtjs16pVKxo0aGBd/9lnn5GTk2Nz3gYMGMDTTz9Nly5dip0PwPLly3n33XdtxgYOGcKgG3Iw7JNPDIfYZ0IaNzIhLbtx1NwcNS%2BAqVPvdAaFmzDhTmdQtIkT73QGhevV605nULSKFc2JU7WqOXHyNGpkTpwWLcyJk98tvjQ5pnusI242FewOJDo6mh49etiMLVu2jAULFgCwfft25s6dS3x8PFlZWWRlZdGxY0frtp6ennh5eVkfV65c2Wb6R40b2meVK1cmKSmp0Fyq5Gv3lPqtXZaens7p06cB6NSpk832Li4unD17lnbt2rFmzRpatWpFeHg4rVq1okOHDri5udGjRw82btzIo48%2BSrNmzWjdujWRkZE4OTkVmsOBAweoX7%2B%2B9XFGRgaPPfYYH3/8Me7u7gBcunSJiRMnsmfPHq5duwZAZmZmkcfi7u5Odna2zTajR4/mwoULBQr94ujevXuBi4IrdOgAixbdcqxC1amTW%2BH17AmxsYZCNTKxZDcxLdM5am5m52V2h33qVIiKgrg44/HM7LBPmABjx0J8vPF4ZnfYJ06EMWPMya1hQ%2BMxILez3qsXfPwxFPHn/Zb81uMxhatrbrF%2B7hzc8Gf6tpjxuwq5nfVGjWDfPkhNNR7PzPsieHvnFuurVsGFC8bj9e9vPMZtU8FuiAr2u8SJEycYNmwYUVFRdOvWDXd3dwYPHmyzTXZ2ts1ji8ViUwzfbH1%2BzkX8j5VXKG/dupX77ruv0G1Wr17Nnj172LRpEzNmzGDp0qWsWLGCatWq8eWXX7J9%2B3Y2b97MmDFj%2BPzzz3nvvfcKjdOgQQNWrFgB5L5ZaN%2B%2BPQEBATZvPIYPH07JkiX5z3/%2BQ8WKFdmyZQsvv/xysY4lT3p6OllZWXz88cfWTyOKy8fHB58bP3s261Ukv9hY%2BG3e/u0ytnfhTEjLbhw1N7PyMqPguVFcHBw5YjyOWVML8sTHw7FjxuPk%2B2DNNPHxcPSo8Tj33288Rn5JSXDmjPE4GRnGY9woM9OcuFeuGI%2BRX2qqOTHPnjUe40YXLtgnrtw99HbnLnHkyBHc3Nzo1asX7u7u5OTkEHtDmy41NZVLly5ZH//yyy/W6TSAtTuef33FW/xs0tfXF2dnZ47me4XKzMwkMTERyO2CX7t2jSZNmhAVFcWKFSs4dOgQsbGxpKWlkZWVRYsWLRg3bhxz585l06ZNJCcn3/R53d3dGTduHO%2B99x4nTpywjh84cIBu3bpZjyP/FKHimj17NpMmTWLGjBk2sUVERMQkuujUkHvraO9ivr6%2BpKenExsby5UrV5g6dSplypSxmdLi5ubG7NmzSUtL4/jx46xfv95musYvv/zC6tWrycjI4Ouvv%2Bbo0aO0bNnylvIoW7Ysbdu2Zdq0aZw7d4709HRmzJjBCy%2B8gMViYdKkSQwdOpTk5GQsFgsxMTG4urpSuXJlBg0axIQJE0hNTSUrK4tDhw5Rvnx5PD09SUxMpE2bNgXeVOTXvHlzHn/8caKjo61z0H19fTlw4AAZGRls2bKFnTt3AljfQBSHi4sLLVu2pF27dkRFRVnvrCMiIiLiCFSw3yWCgoL429/%2BxrPPPkuHDh2oWbMmb7zxBj/%2B%2BCOvvfYaAOXKlaNu3bpERkbSpUsXWrduzTPPPGON0aJFCw4cOEBoaCjjxo3jrbfews/P75ZzGTNmDNWrV6ddu3Y0b96c48ePM3fuXJycnHjttdfw8PDgiSeeoFGjRsybN49Zs2bh5eXFxIkTSUxMpEWLFjRt2pSvv/6aOXPm4OzsTGZmJnFxcWTc5HPSUaNGcfz4cestKceOHcvXX39NcHAwn332GbNmzaJevXq0a9euWJ37/EaPHs2lS5eYN2/eLZ8TERER%2BQPqsBviZLGYeRmO3Clr1qxh%2BvTpRd5DfOTIkVy/fp2ZM2f%2ByZndg4q4LuC2BAXlXgnVqJHhic9OmPe/uolpmc5RczM7r4AA4zHy1K0LK1bkXmDoSHPY/fxyr9/u3dvx5rD7%2B8PixfDcc%2BbMYQ8LMx4Dcm8P%2BdprMH26OXPYBw40HiOPm1vunV1OnzZnDrtZF3d6eube2WXrVnPmsO/ZYzxGnkqVci8UnTfPnDns48cbj3HbzLoHan5mXPF9l7i33p6IiIiIiNxldJcYEREREbGve2wKi9lUsP9FdO7cmc6dOxe5/h//%2BMefmI2IiIiImEUFu4iIiIjYlzrshqhgFxERERH7UsFuiM6eiIiIiIgDU4ddREREROxLHXZDdPZERERERByYOuwiIiIiYl/qsBuigl1ERERE7EsFuyE6eyIiIiIiDkwddhERERGxL3XYDVHBLmIyJyymxQoC9gGN2Md%2Bg7EsOJmQUZ7czPbRCAxnZjZHzc3svAJMiJGnLrCCFXQDjpgQz8OEGAB%2BwCIW0Rs4ZkK8HBNi5PEHFrOY54CjJsQLMyEGQBXgNV5jOnDGhHgDTYiRxw2oSlVOAxmGo9XisOEYuTyBFrRgK3DFcLQO7DEc43eVgP70Zx5w1oR4402IIXeCCnYRERERsS912A1RwS4iIiIi9qWC3RCdPRERERERB6YOu4iIiIjYlzrshujsiYiIiIg4MHXYRURERMS%2B1GE3RAW7iIiIiNiXCnZDdPZERERERByYOuwiIiIiYl/qsBuisyciIiIi4sDUYRcRERER%2B3LADvvp06eZMGECBw4coHTp0rRp04YRI0bg4uJis90LL7zA7t27bcays7Pp2LEjU6ZMYfbs2bz33nuUKPF7WV2yZEn27NljWq4q2EVERETEvhywYB88eDABAQHMmDGDS5cu8dJLL%2BHt7U3fvn1ttlu4cKHN4/T0dNq1a0f79u0BSElJoUuXLkycONFuuTre2RMRERERsaOYmBiOHj3KiBEjKFu2LNWrV6dPnz6sXLnypvvOmTOHgIAAwsPDgdyC3dPT0675qsMuIiIiIvZlhw57UlIS58%2BftxmrUKECPj4%2BN9330KFD%2BPr62hTaDz/8MHFxcaSmpuLh4VHofgkJCSxZsoR169ZZx1JSUjh79iwdOnTg3Llz%2BPv7M3LkSAICAm7zyApSh/0eFRkZWax3kSIiIiKGOTub/rN8%2BXI6d%2B5s87N8%2BfJipXP58mXKlStnM5ZXvCcnJxe534IFC3jyySfx9fW1juW9SZg3bx6bNm0iICCAF154gUuXLt3GiSqcOux3SEREBP369aNHjx4248uWLWPBggVs2rTJrs//9ddf2zX%2B7di8eTMffPABP/30E5mZmfj4%2BNCpUyf69%2B%2BPk5PTnU5PREREHEj37t2JiIiwGatQocJtx7NYLABF1hwpKSmsWrWK1atX24zfOHf99ddfZ926dXz77bd07dr1tvPJTwW7OIT9%2B/czZMgQ/v73v9O6dWvc3NysY87Ozrz88st3OkURERG5XXaYEuPj41Os6S%2BF8fLyKtBJv3LlCk5OTtx3332F7vPtt99SqVIl/Pz8/jC2i4sLlSpVIikp6bZyK4ymxDiwmJgYevbsySOPPEJ4eDgTJkwgKysLgDVr1vD444%2BzcuVKmjdvTsOGDXnzzTet60eOHMmoUaOYMGECjRo1Ijg4mKVLl1pjR0REsGzZMuu2EydOZMqUKTRt2pSQkBDmz59v3fby5cuMGDGCZs2aERQUxODBg7l8%2BTKQe1ujyZMn06xZMwIDA%2BnYsSPbt28HIC0tjTfeeIOQkBCCgoJ45plnOHz4cKHHunv3bqpUqUKHDh0oVaoULi4uPPLII8yePZsmTZpYt/vPf/7D448/TmBgIM888wxHjhyxrtu4cSNPPfUUQUFBtGvXjsWLF1vXjRw5kjfffJNevXoRGRl50%2BMSERGRv66AgAASEhJspq3ExMRQu3ZtypQpU%2Bg%2BGzdupEWLFjZjFouFt99%2Bm6NHj1rHMjMzOXXqFFWrVjUtX3XYHdiwYcNo3749S5YsISEhge7du%2BPv70/37t0BSExMJCYmhm%2B%2B%2BYaEhASee%2B5MzGPSAAAgAElEQVQ5li5dSu/evQH46quvGDVqFD/88ANbt25l4MCBNG7cmDp16hR4rvXr1xMVFcW2bdv4/PPPiY6OplOnTvj4%2BDBy5EhcXFxYt24dJUqUYNy4cQwfPpyFCxeyfv16vvjiC1atWoWPjw/r16/njTfeYMuWLSxatIijR4/y1Vdf4eHhwcKFCxkzZkyBj5IAatasSVxcHCtXrqRjx464ubkB0LhxY%2Bs2Bw8e5K233uK9996jcePGfPDBB7zyyits3LiR48ePM2TIEP7v//6PRx99lF27dvHyyy9TvXp1Hn30USD3nfGUKVOsj//ouIqrsAteatSoQPnyt/eO/0Z5/1SF/JPdhiAzguQyNzFzOWpuZudVu7Y5cQBq1LBdGlWqlDlxqle3XRr128fdpjA7typVzImT1228za5jAb/9LTaFq6vt0iiz7sqRd3FhERcZ3rJKlcyJA%2BDtbbu8mznYbR0ffvhhGjRowPTp0xk1ahSJiYl89NFHvPDCCwC0adOGSZMm8cgjj1j3OXz4ME2bNrWJ4%2BTkRHx8PBMmTGDGjBl4eHgwe/Zs3NzcaN26tWn5qmC/gyZNmsTkyZNtxnJycnjggQcA%2BOyzz3Bzc8PZ2ZkqVaoQFBTEoUOHrNtev36doUOHUqpUKWrVqkX79u3ZsmWLtWCvXLky3bp1A6B169bUrVuXzZs3F1qw%2B/r68vTTTwPQtm1bRo8ezcmTJ3FxcWHz5s188cUXlC9fHoARI0bQsmVLzp8/T0pKCi4uLri7u%2BPs7EyHDh1o164dzs7ONutKlChBv3796NevX6Hn4rHHHqNfv36MHz%2BeyZMnExgYSGhoKO3atbNe2PHZZ58RGhpKSEgIAH369KF69epkZGSwevVqQkNDrf9zhIeH06pVK7755htrge7r60urVq0AuHjx4h8eV3HnwC1fvpx3333XZmzIkIEMGTKoWPsX1yefmBFlnxlBbJmTmH04am6OmhfA1Kl3OoPCTZhwpzMomh3vu2xIr153OoOiVaxoThwTu5cANGpkTpwbOrCm6NLF/Jh/Ngcr2AFmz57NW2%2B9RUREBGXLlqVTp0707NkTgLi4ONLS0my2P3/%2BfKFTcP7%2B978zZcoUOnfuTGZmJvXr12fx4sWULl3atFxVsN9B0dHRRV50CrB9%2B3bmzp1LfHw8WVlZZGVl0bFjR%2Bu2np6eeHl5WR9XrlyZ77//3vq4xg3dssqVKxc5n6pKvu5Oqd%2B6Y%2Bnp6Zw%2BfRqATp062Wzv4uLC2bNnadeuHWvWrKFVq1bWIrlDhw64ubnRo0cPNm7cyKOPPkqzZs1o3bo1kZGRhV7M4eTkxPDhw%2Bnbty/btm1j9%2B7d/Pvf/%2Bb//u//mDx5Mh07duT06dNUq1bNuo%2B7uztt27YF4MyZM9SqVcsmZs2aNYmJibE5/jw3O67iFuyFXfDSoUMFFi0q1u43VadObn3XsyfExhqLtQ%2BTXozA3MTM5qi5mZ2X2R32qVMhKgri4ozHM7PDPmECjB0L8fHG45ndYZ84EcaMMSe3hg2Nx4DcznqvXvDxx2DG/Nnfmj6mcHXNLdbPnYPMTOPxzPhdhdzOeqNGsG8fpKYaj1fE1M/b4u2dW6yvWgUXLhiP17%2B/8Rh/IRUrVmTevHmFrss/xSXPwYMHC922fPnyTLVzw0MFu4M6ceIEw4YNIyoqim7duuHu7s7gwYNttsnOzrZ5bLFYbIrhm63Pz7mId77u7u4AbN26tciLMFavXs2ePXvYtGkTM2bMYOnSpaxYsYJq1arx5Zdfsn37djZv3syYMWP4/PPPee%2B994o8bk9PT9q2bUvbtm2xWCyMHTuWf/7zn3Ts2BEnJyfrFdyFufHYLBYLmfleFPJ/ZXBxjqs4CrvgxazXkPxiY2H/fqNRDAcoyJzE7MNRczMrLzMKnhvFxUG%2B60Jum1lTC/LEx8OxY8bj5OQYj3Gj%2BHgo5IX9lt1/v/EY%2BSUlwZkzxuNkZBiPcaPMTHPiXrliPEZ%2BqanmxDx71niMG124YJ%2B4fyYH7LDfTXT2HNSRI0dwc3OjV69euLu7k5OTQ%2BwNXbnU1FSbiyV%2B%2BeUX63Qa%2BL2LnH99xVv8KNLX1xdnZ%2BcCF1MkJiYCkJGRwbVr12jSpAlRUVGsWLGCQ4cOERsbS1paGllZWbRo0YJx48Yxd%2B5cNm3aVOj9TT/44AM2b95sM%2Bbk5ESzZs24du0aFouFqlWrEpevGs7IyGD%2B/PlcunSJatWqceLECZv94%2BLiirzg42bHJSIiIuIoVLA7KF9fX9LT04mNjeXKlStMnTqVMmXK2ExpcXNzY/bs2aSlpXH8%2BHHWr19vMz3jl19%2BYfXq1WRkZPD1119z9OhRWrZseUt5lC1blrZt2zJt2jTOnTtHeno6M2bM4IUXXsBisTBp0iSGDh1KcnIyFouFmJgYXF1dqVy5MoMGDWLChAmkpqaSlZXFoUOHKF%2B%2BPJ6eniQmJtKmTRvrm4q0tDSio6P57rvvSE9PJycnh6NHjzJ//nyefPJJnJyc6Ny5Mzt37mTz5s1kZmayaNEili5dioeHB08%2B%2BaS1k5%2BVlcX333/P5s2bC0x5Ke5xiYiIiIns8MVJ9xJNiXFQQUFB/O1vf%2BPZZ5%2BlTJkyDBgwgJYtWzJw4EBee%2B01wsPDKVeuHHXr1iUyMpKrV6/y1FNP8cwzz1hjtGjRggMHDjB58mRcXV156623bnrv0MKMGTOGiRMnWi8mDQwMZO7cuTg5OfHaa68xbtw4nnjiCbKysqhevTqzZs3Cy8uLiRMnMmbMGOstkPz8/JgzZw7Ozs5kZmYSFxdHxm8fiw4aNAhPT09mzpzJ6dOnycjIoGLFijz55JMMGDAAgLp16zJt2jQmTpzIpUuXqFOnDu%2B//z5ubm4EBgYyadIkpk%2BfzvDhw6lSpQrTpk0rcDV3cY9LRERETHSPFdhmc7KonXhXWrNmDdOnT2fbtm2Frh85ciTXr19n5syZf3JmYma9HxSUex1Uo0bGpz1bcNDEzOaouZmdV0CA8Rh56taFFStyLzB0pDnsfn6waBH07u14c9j9/WHxYnjuOXPmsIeFGY8BubeHfO01mD7dnDnsAwcaj5HHzS33zi6nT5szh92sizs9PXPv7LJ1qzlz2PfsMR4jT6VKuReKzptnzhz28eONx7hdHTqYH3PtWvNjOih12EVERETEvtRhN0RnT0RERETEganDfpfq3LkznTt3LnL9P/7xjz8xGxEREZE/oA67ISrYRURERMS%2BVLAborMnIiIiIuLA1GEXEREREftSh90QnT0REREREQemDruIiIiI2Jc67IaoYBcRERER%2B1LBbojOnoiIiIiIA1OHXURERETsSx12Q3T2REREREQcmDrsIiJiLicnc%2BM4OZkXU25NTo55sSyW35dmxpW7gzrshqhgFxERERH7UsFuiM6eiIiIiIgDU4ddREREROxLHXZDdPZERERERByYOuwiIiIiYl/qsBuigl1ERERE7EsFuyE6eyIiIiIiDkwddhERERGxL3XYDdHZExERERFxYOqwi4iIiIh9qcNuiAp2EREREbEvFeyG6OyJiIiIiDgwddhFRERExL7UYTdEZ0%2BsIiIiWLZsWaHrdu/eTf369cnIyPjDGDt37sTf35/r16/bI0VTcgT75ykiIiJiFhXsf1GdO3fm7bffthmLjY3F39%2BfDRs22IwvXbqUsLAwLBZLkfGaNGlCTEwMbm5udsnXDHdDjiIiIvckZ2fzf%2B4h99bR3kOaN2/O9u3bbca2b99O6dKl2bZtm834jh07CA8Px8nJ6c9MUURERO4VKtgNubeO9h7SvHlzYmNjuXjxonVs27ZtPPXUU%2BzYscM6lpOTw65du2jevDkA165dY8CAAQQGBhIZGcnOnTuBglNI3n//fVq2bEnDhg2JjIxk3bp1heZx8OBBGjdubH2TEBsbS%2B/evXnkkUcICQlhxowZZGdnA7BmzRrat2/P1KlTadiwIQkJCYXGLG6OBw4cIDIykoYNG9K/f3%2BWLFlCRESETaw9e/YQGRlJUFAQ/fv35%2BrVq7d2okVERETsTBed/kUFBgbi4eHBjh07aN%2B%2BPRkZGezdu5fRo0fz2WefkZCQQOXKlTl48CApKSk0a9aMWbNmsWrVKt5%2B%2B21mzJhBdHQ0kyZNYu3atTax9%2B7dy5w5c1i9ejW1a9dm165dvPLKK4SHh9tsl5iYyKuvvsqoUaMIDw8nLS2NF198kZ49e7JgwQLr%2BtKlS9O/f38AkpKScHNzY8%2BePZQoUfivZ3FyzM7OZuDAgURGRjJ8%2BHB%2B%2BOEHoqOjKVmypM1269evZ%2BXKlVy5coVu3bqxatUq%2BvTpU%2BzznJSUxPnz523GatSoQPnyPsWO8Ufq1LFdGhNkRpBc5iZmLkfNzey8atc2Jw5AjRq2S6NKlzYnTvXqtkujcnLMiQPm51alijlxfHxsl0bd8DfTEFdX26VRnp7mxPHwsF0aVamSOXEAvL1tl3eze6wjbjYV7H9RJUqUIDQ0lG3bttG%2BfXv27duHl5cXtWrVIigoiO3bt9OlSxe2b99OvXr18PLyAuCxxx6jQYMGADzxxBN8%2BeWXBWKnpKQAULp0aZycnAgODmbPnj045/uf8fr16wwYMICnn36aLl26APDdd99hsVh49dVXAahatSp9%2B/bl/ffftxbsV69epV%2B/frj%2BwR/04uT4448/kpSUxIABAyhVqhStWrWiSZMmHDhwwGa7vn37Uq5cOcqVK0dgYCBxcXHFO8G/Wb58Oe%2B%2B%2B67N2JAhAxkyZNAtxbmZTz4xI8o%2BM4LYMicx%2B3DU3Bw1L4CpU%2B90BoUbP/5OZ1C0iRPvdAaF69XrTmdQNLMK2mrVzImTp1Ejc%2BK0aGFOnPx%2Bex29q6lgN0QF%2B19Y8%2BbNmTNnDpA7fz0sLAyA0NBQduzYYS3Y86bDAPj6%2Blr/u2TJkmRmZhaIGxYWRtOmTYmMjCQkJISWLVvSqVMnPPJ1J0aPHs2FCxcYMmSIdez06dNcvHiR%2BvXrW8csFovNRaLlypWziVOY4uSYmJiIh4cH5cuXt47VrVu3QMGeP5a7u3ux7jCTX/fu3QtMs%2BnQoQKLFt1SmCLVqZNb3/XsCbGxxmLtw6QXIzA3MbM5am5m52V2h33qVIiKglt801ooMzvs48fDuHEQH288ntkd9okTYcwYc3Jr2NB4DMjtrPfqBR9/DElJxuN17Wo8Rh5X19xi/exZKOTv9i07edJ4DMjtrDdqBPv2QWqq8XiHDxuPkcfbO7dYX7UKLlwwHu%2B35pjcfVSw/4W1aNGCMWPGcOLECXbs2GGd6hEaGsrixYtJS0tj//79NkV1cS48LVmyJB988AEHDx5k06ZNfPTRRyxcuJBPP/3Uuk16ejpZWVl8/PHH9O7d27rfQw89VGD6Sn5FTYPJrzg5WiwWXFxcbrqf0QttfXx88Lnho2cz6p0bxcbC/v1GoxgOUJA5idmHo%2BZmVl5mFDw3iouDI0eMxylb1niM/OLj4dgx43F%2Bu17GVPHxcPSo8Tj33288Rn5JSXDmjPE49rj1bWamOXGvXDEeI7/UVHNinj1rPMaNLlywT9w/kzrshujs/YVVrFiR2rVr89///pcjR44QEhICQL169bh%2B/Tqffvop7u7uBAYG3lLcrKwsUlJSCAgIYPDgwaxdu5bk5GR%2B%2BOEH6zazZ89m0qRJzJgxgxMnTgBQrVo1Tp8%2BzbVr16zbJScnk2pGR%2BMG3t7epKSk2MQ%2BasaLqoiIiMifTAX7X1zz5s1ZunQptWrVss5Td3FxoWnTpixatIjQ0NACneib%2BfDDD%2Bnduzfnzp0DcgvhzMxMquWbT%2Bji4kLLli1p164dUVFRZGVl0axZM7y8vJg6dSqpqamcP3%2BeIUOGMG3atCKfa8OGDfTs2fOWjzswMJBy5cqxYMECMjIy2LJlC7t3777lOCIiImIC3dbRkHvraO9BLVq04NSpU4SGhtqMh4aGEh8fbzN/vbj69OlDgwYN6NSpEw0bNmTUqFGMGzeOunXrFth29OjRXLp0iXnz5uHq6srcuXP5%2BeefCQ8Pp1OnTjz44INERUUV%2BVxXr14l/jbmh7q5uTFt2jS%2B%2BuorQkJCWLt2Lb1799a95kVERO4EFeyGaA77X1xYWFihU0F69epFrxvuIrBp0yabxy1atLDuGxwcbBNn/PjxjC/kzg03bufh4WETt06dOixZsqTQXDt37kznzp3/cOxWcgwLC%2BOLL76wfoIwe/ZsHnjggUK3BZg5c2aheYmIiMhfz%2BnTp5kwYQIHDhygdOnStGnThhEjRhSYebB69WrefPPNAnew27x5M97e3ly/fp1Jkybx3XffkZGRQZMmTRg/frx1ZoMZ7q23J3LPsFgstGnThpkzZ5KZmUl8fDyfffYZjz766J1OTURE5N7jgB32wYMHU7FiRTZu3Mi//vUvNm3axL/%2B9a8C2129epWwsDBiYmJsfrx/uz/%2B9OnTOXz4MMuXL%2Bfrr7/GycmJUaNGGc4vPxXs8pfk5OTEzJkz2bt3L02bNqVXr1489thjt/SlSCIiIvLXFBMTw9GjRxkxYgRly5alevXq9OnTh5UrVxbY9sqVK3gW8UVd2dnZrFmzhldffZVKlSrh6enJ0KFD%2Be6770hMTDQtX02Jkb%2BsgIAAli1bdqfTEBERETvMOS/s28YrVKhQ4HbLhTl06BC%2Bvr42hfjDDz9MXFwcqampNt8Jk5KSQnx8PF27diUuLo7q1aszfPhwwsPDiY%2BP5%2BrVq9SrV8%2B6fc2aNXF3d%2BfQoUPWqbhGqWAXEREREfuyQ8Fe2LeNDxw4kEGDbv5t45cvX6ZcuXI2Y3nFe3Jysk3BXr58eXx8fBgxYgSVK1dm%2BfLlvPzyy/znP//hym/37r8xVrly5UhOTr6t4yqMCnYRERERuesU9m3jFSpUuO14FosFKPilije%2BAejTpw/r169n7dq1tGjRoshYZt6ZTgW7iIiIiNiXHTrshX3beHF5eXkV6IBfuXIFJycn7rvvvpvuX6VKFZKSkqx3gklOTqZ06dLW9SkpKbpLjIiIiIjI7QoICCAhIYFLly5Zx2JiYqhduzZlypSx2Xb%2B/Pns3LnTZuzEiRNUrVqVqlWr4unpyaFDh6zrjh07RkZGBgEBAablq4JdREREROzLwW7r%2BPDDD9OgQQOmT59OamoqJ06c4KOPPqJHjx4AtGnThj179gBw4cIFxo8fT1xcHNevX%2Bejjz7i9OnTdO7cGRcXF7p168a8efM4e/YsycnJzJgxg8cff9x620czaEqMiIiIiNiXA34z6ezZs3nrrbeIiIigbNmydOrUiZ49ewIQFxdHWloaAK%2B99hoWi4XnnnuOtLQ0/Pz8WLRokfUOMIMHDyYtLY3u3buTlZVFWFgY48aNMzVXFewiIiIics%2BpWLEi8%2BbNK3Rd/m9DL1myJG%2B%2B%2BSZvvvlmodu6ubkxduxYxo4da5c8QQW7iIiIiNibA3bY7yY6eyIiIiIiDkwddhERERGxL3XYDVHBLiJyN8rONj9WdrY5cX/78hHT4lgs5sTMyTEe48ZYOTnmxDXxC1ZMjWlmkZWXj5OTird7kf7NDdHZExERERFxYOqwi4iIiIh9qcNuiM6eiIiIiIgDU4ddREREROxLHXZDVLCLiIiIiH2pYDdEZ09ERERExIGpwy4iIiIi9qUOuyE6eyIiIiIiDkwddhERERGxL3XYDVHBLiIiIiL2pYLdEJ09EREREREHpg67iIiIiNiXOuyG6OyJiIiIiDgwFexyUxERESxbtqzQdbt376Z%2B/fpkZGT8YYydO3fi7%2B/P9evX7ZEi/v7%2BbN261S6xRURExCBnZ/N/7iH31tEKnTt35u2337YZi42Nxd/fnw0bNtiML126lLCwMCwWS5HxmjRpQkxMDG5ubnbJV0RERP4CVLAbcm8drdC8eXO2b99uM7Z9%2B3ZKly7Ntm3bbMZ37NhBeHg4Tk5Of2aKIiIiIpKPCvZ7TPPmzYmNjeXixYvWsW3btvHUU0%2BxY8cO61hOTg67du2iefPmAFy7do0BAwYQGBhIZGQkO3fuBApOdXn//fdp2bIlDRs2JDIyknXr1hWax8GDB2ncuLH1TUJsbCy9e/fmkUceISQkhBkzZpCdnQ3AmjVraN%2B%2BPVOnTqVhw4YkJCT84TFev36dSZMm0bJlS5o2bUrv3r05cuQIAI8%2B%2BiibN2%2B2bturVy%2B6du1qfbxr1y6Cg4P/8FMFERERuUXqsBuiu8TcYwIDA/Hw8GDHjh20b9%2BejIwM9u7dy%2BjRo/nss89ISEigcuXKHDx4kJSUFJo1a8asWbNYtWoVb7/9NjNmzCA6OppJkyaxdu1am9h79%2B5lzpw5rF69mtq1a7Nr1y5eeeUVwsPDbbZLTEzk1VdfZdSoUYSHh5OWlsaLL75Iz549WbBggXV96dKl6d%2B/PwBJSUm4ubmxZ88eSpT441/bGTNmsHv3bpYsWcL999/P1KlTefnll9m4cSPBwcHs27ePVq1akZGRwcmTJ3F2dubXX3%2BlVKlS7Nmzh5CQkGJ/qpCUlMT58%2BdtxmrUqED58j7F2v9m6tSxXRoTZEaQXOYmZi5Hzc3svGrUMCdO/lhmxfTwMCdO9eq2S6N%2BawKY4sEHbZdG%2BfqaE8fHx3ZplJnTHV1dbZdGeXqaEyfv99Ws39tKlcyJA%2BDtbbuUe5YK9ntMiRIlCA0NZdu2bbRv3559%2B/bh5eVFrVq1CAoKYvv27XTp0oXt27dTr149vLy8AHjsscdo0KABAE888QRffvllgdgpKSkAlC5dGicnJ4KDg9mzZw/O%2Bd4FX79%2BnQEDBvD000/TpUsXAL777jssFguvvvoqAFWrVqVv3768//771oL96tWr9OvXD9di/KFfvXo1EyZMoEqVKgAMHz6c5cuXc%2BDAAYKDg/n0008BiImJoXbt2ri5ufHjjz8SEhLC3r17efzxx4t9PpcvX867775rMzZkyECGDBlU7BjF8cknZkTZZ0YQW%2BYkZh%2BOmpuj5gUwbdqdzqBwEybc6QyKNmnSnc6gcL163ekMilaxojlxqlY1J06eRo3MidOihTlx8vvt9fKudo91xM2mgv0e1Lx5c%2BbMmQPkzl8PCwsDIDQ0lB07dlgL9rzpMAC%2B%2Bbo/JUuWJDMzs0DcsLAwmjZtSmRkJCEhIbRs2ZJOnTrhka9rMXr0aC5cuMCQIUOsY6dPn%2BbixYvUr1/fOmaxWGwuZC1XrpxNnKJcuXKFq1evUrNmTZt9vb29OXv2LCEhIUyYMIHMzEz27NlDUFAQbm5u7N27lyZNmrB//37Gjh170%2BfJ0717dyIiImzGOnSowKJFxQ7xh%2BrUya3vevaE2FhjsfZh0osRmJuY2Rw1N7PzMrvDPm0ajBgBcXHG45nZYZ8wAcaOhfh44/HM7rBPmgTR0XDypPF4QSZ9Aubjk1usf/wxJCUZj9etm/EYeVxdc4v1c%2BegkNeQW2bG7yrk/r42agT79kFqqvF4hw8bj5HH2zu3WF%2B1Ci5cMB7vtybYHaGC3RAV7PegFi1aMGbMGE6cOMGOHTvo06cPkFuwL168mLS0NPbv329TVBdnikjJkiX54IMPOHjwIJs2beKjjz5i4cKF1o42QHp6OllZWXz88cf07t3but9DDz1UYIpNfjebBnOjG/O1WCxkZmbi6%2BuLt7c3R44cYffu3fTp04cSJUowf/58jhw5Qrly5ah%2BCx%2B/%2B/j44HPDR89mvYbkFxsL%2B/cbjWI4QEHmJGYfjpqbWXmlpxuPcaO4OPjteg9DzJqqkCc%2BHo4dMx4nK8t4jBudPAlHjxqPY9YUljxJSfDLL8bj3OSWvbclM9OcuFeuGI%2BRX2qqOTHPnjUe40YXLtgnrtw1VLDfgypWrEjt2rX573//y5EjRwgJCQGgXr16XL9%2BnU8//RR3d3cCAwNvKW5WVhZpaWkEBAQQEBDAiy%2B%2BSHh4OD/88APly5cHYPbs2ezatYshQ4bQrFkzatWqRbVq1Th9%2BjTXrl2jTJkyACQnJ%2BPq6lqsrnp%2Bnp6eeHp6cuLECfz9/YHcqTqXLl2iWrVqAISEhLBnzx4OHDhAYGAgzs7OHDx4kN27dxMaGnpLzyciIiLFoA67ITp796jmzZuzdOlSatWqZZ2n7uLiQtOmTVm0aBGhoaG4uLjcUswPP/yQ3r17c%2B7cOQCOHj1KZmamtVDOe46WLVvSrl07oqKiyMrKolmzZnh5eTF16lRSU1M5f/48Q4YMYdofzKfdsGEDPXv2LHTdk08%2Byfz58zl37hxpaWlMmzaNKlWqEPTbR87BwcEsX76cKlWqUKZMGUqVKoWvry%2BrVq1SwS4iIiIORwX7PapFixacOnWqQIEaGhpKfHy8zfz14urTpw8NGjSgU6dONGzYkFGjRjFu3Djq1q1bYNvRo0dz6dIl5s2bh6urK3PnzuXnn38mPDycTp068eCDDxIVFVXkc129epX4Iua0RkVFUbduXbp27UqrVq1ISkrio48%2Bsr4BCQkJ4eTJkzTKd4FRo0aNOH78uPXTBhERETGRbutoiKbE3KPCwsI4Wsi8y169etHrhrsLbNq0yeZxixYtrPsGBwfbxBk/fjzjx48vEPfG7Tw8PGzi1qlThyVLlhSaa%2BfOnencufMfjuWPXbp0aaZMmVJoLMidd37jsUdHRxMdHV3kPiIiImLAPVZgm01nT0RERETEganDLiIiIiL2pQ67ISrYRURERMS%2BVLAborMnIiIiIuLA1GEXEREREftSh90QnT0REREREQemDruIiIiI2Jc67IaoYBcRERER%2B1LBbojOnoiIiIiIA1OHXURERETsSx12Q3T2REREREQcmDrsIiIiImJf6rAbooJdxGQBAebFql3792VmptFoDpuYuczOLTvbeAyAGjV%2BX6anG4935IjxGHnc3XOXcXHmxG3TxngMgLJlf1%2BWL2883vHjxmPkuXr19%2BXly8bjPfSQ8S9w60AAACAASURBVBgA3t65y2rVoHRp4/EefNB4jBtVrmxOnDNnzIlTpszvS4vFeLyBA43HyFPitzKte3fIyjIv7p2ggt0QnT0RERERueecPn2afv36ERwcTKtWrZg6dSrZRTRpli1bRmRkJEFBQXTo0IGNGzda182ePZu6detSv359688jjzxiaq7qsIuIiIiIfTlgh33w4MEEBAQwY8YMLl26xEsvvYS3tzd9%2B/a12W7jxo1Mnz6d999/n4YNG7J27VqGDh3Kl19%2BSdWqVUlJSaFLly5MnDjRbrk63tkTEREREbGjmJgYjh49yogRIyhbtizVq1enT58%2BrFy5ssC2aWlpDB8%2BnMaNG1OiRAmefvppypQpw//%2B9z8AUlJS8PT0tGu%2B6rCLiIiIiH3ZocOelJTE%2BfPnbcYqVKiAj4/PTfc9dOgQvr6%2BNoX2ww8/TFxcHKmpqXh4eFjHn3rqKZt9U1JSuHbtGg888ID18dmzZ%2BnQoQPnzp3D39%2BfkSNHEmDiRW0q2EVERETEvuxQsC9fvpx3333XZmzgwIEMGjTopvtevnyZcuXK2YzlFe/Jyck2BXt%2BFouF6OhoGjZsSNOmTYHcNwllypThH//4B%2BXKlWPOnDm88MILfPXVV3h5ed3OoRWggl1ERERE7jrdu3cnIiLCZqxChQq3Hc/y212CnJycCl2fmZnJyJEjOX78OIsXL7aO3zh3/fXXX2fdunV8%2B%2B23dO3a9bbzyU8Fu4iIiIjYlx067D4%2BPsWa/lIYLy8vkpOTbcauXLmCk5MT9913X4Ht09PTefXVV/n1119ZunRpodvkcXFxoVKlSiQlJd1WboXRRaciIiIick8JCAjg/9m78/iY7vb/468RkoidJrYktrtiqZBaartpo7XElmqtLf217lJqC27VNkSJWIrWWktbW8uN21JLb9uNUtV%2BtaVSSosUsQQVIoJIMr8/RubOSEI4Z5pR7%2BfjkceZOefMNdecJDPXueZzzjlz5gyXLl2yz4uOjuZvf/sbBdLPzX%2Bb1WolLCyMvHnzsmDBAodi3Wq1MnHiRI4cOWKfd%2BvWLU6ePImfn59p%2BapgFxERERHnypPH/B8DqlWrRmBgIJMnTyYxMZFjx44xf/58unbtCkDLli35/vvvAVi3bh1Hjx5l6tSpeHh4OMSxWCycOHGC0aNHExcXx7Vr15g0aRLu7u48%2B%2ByzhnLMSENiRERERMS5XPA87NOmTWPUqFEEBwdTqFAhQkND6datGwAxMTEkJSUBsHLlSk6fPm0/yDRd%2B/btiYyMZOzYsYwbN44OHTpw69YtatSowaJFi/Ay42rDt6lgFxEREZFHTqlSpZg9e3aWyzIOcVm4cOFd4xQtWpQJEyaYmtudVLCLiIiIiHO5YIf9YaKtJyIiIiLiwlSwy19KTEwMNWrU4PTp07mdioiIiKRzsYNOHzYuMSQmODiYuLg48mSx8ceNG0ebNm1yIas/35dffslnn33GkSNHSEtLw8fHh%2BbNm9OnTx/7gQsrVqwgPDwcd3d3APLly0flypVp164dnTt3xs3NLcv1AHu8/v37m3ogxP1ITU1l8eLFrFq1ipMnT%2BLh4UFAQAA9e/akadOmhuNXqFCB6Oho%2B/2vv/6aEiVKULVqVcOxRURE5AE9YgW22VyiYAcIDw%2B3n0rnUTRlyhSWLVvGqFGjaNasGQA//fQTo0ePZu/evXz%2B%2Bef2YrxkyZLs3LkTgEuXLhEdHc24cePYuXMns2bNsu/4ZFzParVy9OhRwsLCuHHjBhEREbnwKmHw4MFER0czduxY6tWrR2JiIl988QVvvvkm48ePN33n7OOPP6Zdu3Yq2EVEROSh9VDs7ly/fp3w8HDq1KnDU089xYgRI0hOTgbg5s2bREZG8vTTT1OvXj1eeeUVfvnlF/tjAwIC2Lx5M127dqVWrVq0adOGQ4cO2Zd///33dOrUiSeffJIWLVrwwQcfkJaWBsD06dN54403mD59OnXr1qVx48Zs2bKFVatW0bRpU%2BrWrctHH30EwDvvvEP//v0d8l6zZg2NGzcmNTX1rq/v6NGjzJ07lw8//JBWrVrh7u6Ou7s7devWZfbs2Tz33HNcv349y8cWL16cpk2bMmfOHPbs2cPatWuzXM9isfD444/Ts2dPtmzZkuU6YWFhREREMGLECIKCgmjQoAHLly%2B3L09KSmLkyJE0bdqUWrVq0bNnT86dO2f/PQQEBLBw4UIaNWrExx9/nCn%2B9u3b2bJlCx9//DENGjTAzc2NIkWK0KNHD0aOHMnVq1cBWxd%2B/PjxNGnShKCgIF588UV%2B%2Bukne5xGjRqxePFiunfvTmBgIM2bN%2BfAgQMAHDt2jICAAGJjY3nttdfYs2cPI0aM4PXXXwdg//79dOnShdq1a9OoUSOioqLsv28RERFxEg2JMcRlOux3M2XKFI4dO8bmzZsB6NWrFzNmzGDw4MFMmTKFvXv38tlnn1GiRAkmTJhA79692bp1q304yMcff8z48eMpXbo0/fr144MPPmDevHlcvHiRnj17MmzYMDp27MiRI0d4/fXX8fHx4aWXXgJg3759NG3alN27dzNmzBjee%2B89nnvuOTZv3sz69esZMWIEnTp1IjQ0lJ49e5KQkEDhwoUB2Lx5M61bt7Z3xrOzdetWKlasSIMGDTItK1u2LD179rznNipXrhzt2rVj48aNhIaGZrteamrqXfNZt24dI0eOZOTIkWzZsoXBgwdTu3ZtKlWqRFRUFL///jv//ve/KViwIJMnT6ZXr14OOwk7duxg3bp1WV6yd/PmzTRq1IiKFStmWtapUyf77X//%2B9/85z//YcWKFZQoUYLJkyczePBg/vvf/9rXmT9/PlOnTuXxxx9n8uTJvPnmm3z11VcOMT/99FMaNWrEkCFD6NChA2lpaQwYMIAuXbqwZMkSTp06RadOnahWrdpdt9ndnD9/ngsXLjjMK1XKm2LFHuxSyXeqUMFxaoyJ3zKYm5i5zM7tHjvcOWZ2Xp6e5sQBqFLFcWpUpUrmxPH1dZwalWGIoGHp72NZvJ89kMceMydO0aKO07%2ByggXNiZM/v%2BPUqLwmllbpn9f3qCPkr89lCvbIyEiioqIc5nl5efHtt9%2ByZs0axo0bR/HixQGIioriypUrgO1k9qNHj8b39hv64MGDWbZsGQcOHKBOnTqA7cT26UVicHAwn3zyCQDr16%2BnTJky9uK8Ro0ahIaGsmXLFvu8fPny2YfqNG3alOXLl9OrVy88PDxo1qwZ77zzDqdOnaJu3bp4e3uzadMmOnbsSFJSErt372bJkiX3fO2nTp3C39/f0PYD2/jt/fv3Z7ksLS2No0ePMn/%2BfEJCQrKNUb58eXvxGhISwowZM/jqq6/w8/Nj7dq1zJs3D29vbwCGDBlCnTp1OHz4MBVuFyEhISH239OdYmNjczQ05YUXXqBVq1b2HZ9WrVrx6aefcuXKFYoUKQJA8%2BbNqVGjBgBvvPEGixYt4tChQ%2BS/yxtunjx52LBhA56enuTJk4dy5coRGBjIzz///MAF%2B7Jly5gxY4bDvL59%2BzFwYP9sHvFgzDm96/J7r3K/nHzeWUNcNbdJk3I7g%2Bzl4P0qVwwfntsZZO%2BDD3I7g6w991xuZ5A9s4rP2rXNiZOuWjVz45np9ufhQ%2B0R64ibzWUK9uzGsF%2B6dImEhATKli1rn1e5cmUArly5wtWrVx06toULF%2Baxxx7j7Nmz9nm%2BGboz%2BfPn5%2BbNm4CtgKx0RyeoYsWKbN%2B%2B3X6/VKlS9tvpHfuSJUvaY4FtOIjFYqFdu3asW7eOjh07snPnTsqWLUv16tXv%2BdotFkumYTNvv/0269evB2zFdv/%2B/XnjjTfuGiclJcXhwN24uDh7UWuxWChVqhQhISH07ds32xgV7uj%2BlSlThvPnz3P%2B/Hlu3rxJz549sVgsDuucOXPG/rgyZcrcNcd7DQ8CuHbtGmPGjGH37t32YTKAfRjUnXmWKFECDw8Pzp8/T7ly5e4ae9euXcyePZuTJ0%2BSmppKSkoKpUuXvmdO2encuTPBwcEO8wYN8mb37gcO6aBCBVvd%2BdZbEBNjLNZyOt17pZwyMzGzmZ2bmR32SZNg6FBz8jJzu1epYivWu3WDw4eNx2vY0HgMsHXWhw%2BH8eMhNtZ4vFOnjMdIV7GirVgPC4Pjx43He/ll4zHA1ll/7jnYsgUuXzYer0MH4zEycnMz738qmwbVfcuf31asHzoE2Qw/vS9mfesCtu1VuDAkJJiz3bL49vtPo4LdEJcp2LOTXhzebZzxnQWk1Wrl1q1b2S6/n8dmdeaarOYBhIaGMmfOHOLi4tiyZQvt2rXL9nkzqlChAnv27HGYN27cOMaNGwdA165dczTO%2BpdffnHYecl40GlO3VlQW61WLBYLnre/fl%2B9ejWPP/54psel7wTlvctXgeXLl%2Be33367Zw4jRowgNjaW5cuX4%2Bvry8GDB3nhhRdylOfdHD58mKFDhzJy5Eief/55PDw87rkTdC8%2BPj74%2BDgOfzl3zvZjppgYyHBoxgMyHCAzcxJzDrNyM6u4SGdWXs7Y7ocPw759xuPcbmqYJjYWjh0zHufoUeMx7nT8uK3QM%2BriReMxMrp82fyYriYx0dx416%2BbEzMlxXiMO6WmOieuPDRcfnenWLFiFC5cmJgM3aSff/6ZVatWUaRIEYoUKcKxDG/kCQkJXLp0KUdDTPz9/Tl%2BR2ckJiYGPz%2B/B8q1fPnyBAYGsnbtWnbs2JHjM540b96cc%2BfO2cfo38lqtd4zxq%2B//sqmTZsMn2Xl5MmTDvdPnz5NyZIlKVGiBF5eXg6X6k1fnlPNmzfn//7v//j5558zLfvss88ICwsDIDo6mueffx4/Pz8sFovDQcLpTmXolF24cIHk5GSHb0OycvDgQQoVKkSXLl3w8PAgJSUl0%2BsRERERJ9BBp4Y8FK%2B2Q4cOfPzxx8TFxREfH09kZKS9SG/VqhVz587l3LlzJCUlMWnSJHx9fQkKCrpn3GbNmnHy5EmWLVvGrVu3OHDgAKtXr%2Bb5559/4Fzbt2/P7NmzCQgIcBiKM3HiRCZOnGi/3717dzZu3AiAn58fAwcO5K233mL58uUkJSWRlpbGsWPHGDlyJAcPHsx2aM2tW7fYunUrPXv2pFWrVvZTQuZEcnIyLVu2tJ9hBWw7LOvWrSM5OZn169fz%2B%2B%2B/88wzz2CxWOjcuTPTp0/n999/Jzk5mblz59K5c2eHoSp3i//3v/%2BdkJAQevXqxbZt20hJSSEhIYEFCxYwefJk2rdvD9gOtD1w4ADJycns3buXrVu3ArYhPuk2bdrEwYMHuXHjBrNnz6ZMmTJUyeKAOQ8PD44dO8bVq1cpW7YsiYmJ/Pbbb8THxxMVFUWRIkU4f/58tttDREREJLe5zJCYrA46BWjTpg3vvfcekZGRhISEkC9fPpo3b86AAQMAeOuttxgzZgwdO3YkOTmZoKAg5s%2Bff88zs4CtMJwxYwZTp05l/Pjx%2BPj4MGDAgAc%2BABGgdevWREVFZRoOk14Upjtx4oTD%2BOxevXpRoUIFFi5cyIQJE0hJScHb25uGDRvyxRdfOAx1uXNsevny5enVq5f9QNmcslqtxMTEOJwyslmzZnz77bdERETg4eFBVFSUfVz4wIEDSUpKonPnzty6dYvq1aszb9483N3d7UNi7hX//fffZ%2BHChXzwwQeEhYXh5eVFYGAg8%2BfPp1atWgAMGzaMYcOG8dRTT1GnTh3Gjx/PkCFD6N69O//%2B978B21llxo8fz08//UTp0qWZPn16lkNiOnfuzMyZM9m7dy/Lly/nxRdfpHPnzhQuXJgBAwbQtGlTwsLCeOedd4iIiMiUr4iIiJjgEeuIm81izcl4C8mxkydPEhoayldffUWhQoVyO537EhYWhoeHB%2BPHj8/tVO4q46kaXdHtfSlTVK0Ky5dDp07GhyxH46KJmc3s3Mwaw161KqxcCS%2B84Hpj2IOC4Mcf4cknzRnD3rKl8RhgOz3kjBnQr5/rjWGvVg2%2B%2BALatzdnDPvgwcZjgO30kB07wooV5oxh79XLeIyMzDzo9OuvzYlTsKDtjDM//GDOGHYzzzaTN6/tQNH4eHPGsN8%2By1uucMYQ1IAA82O6KO3umCghIYGIiAi6dOny0BXrIiIiIuKaVLCbZN26dTRp0oRixYpluuKpiIiIyCNNB50a4jJj2B92bdu2pW3btrmdhiEfuOoFQO6w26yTnIuIiIg8BFSwi4iIiIhzPWIdcbOpYBcRERER51LBboi2noiIiIiIC1OHXUREREScSx12Q1Swi4iIiIhzqWA3RFtPRERERMSFqcMuIiIiIs6lDrsh2noiIiIiIi5MHXYRERERcS512A1RwS4iIiIizqWC3RAV7CImK1jQvFj58/9vajyuyyYGFovxGOm8vP43LVTIeDyr1XgM%2BN92KlgQihQxHq9lS%2BMx0lWqZJs2bAglSxqPt3Gj8RgAQUG26TffwL59xuP16GE8Rrpy5WzTmjWhaFHj8f74w3gMgHz5bNMrV8yJeemS8Rjp8uaFYsUgIQFSUozHM%2BvNNuP7mRkuXzYnDoCHh22bXb0KN28aj%2BftbTyG5AoV7CIiIiLiXOqwG6KtJyIiIiLiwtRhFxERERHnUofdEBXsIiIiIuJcKtgN0dYTEREREXFh6rCLiIiIiHOpw26Itp6IiIiIiAtTh11EREREnEsddkNUsIuIiIiIc6lgN0RbT0RERETEhanDLiIiIiLOpQ67Idp6IiIiIiIuTB12EREREXEuddgN0daTv7y9e/dSo0YNkpOTiY2NJSAggGPHjuV2WiIiIo%2BOPHnM/3mEqMMuuSY4OJi4uDjy3PFP5%2B3tzbZt20x7nrp16xIdHW1aPBEREXn4nTp1itGjR3PgwAG8vLxo2bIlQ4cOxc3NLdO6CxYsYOnSpVy8eJHKlSvz9ttvExgYCMDNmzeJjIzkq6%2B%2BIjk5mbp16/Lee%2B9RvHhx03J9tHZPxOWEh4cTHR3t8GNmsS4iIiIuwAU77AMGDKBUqVJs3bqVBQsWsG3bNhYsWJBpva1btzJz5kwmTpzI7t27adasGX369OHatWsATJ48mUOHDrFs2TI2bdqExWLh7bffNpxfRirYxSVZrVYmTZpE06ZNCQoKokOHDvzwww/25d27d2fWrFn069ePWrVq0aZNG44fP05kZCR16tShadOm7Ny5E4DvvvuOgIAAbt686fAc77zzDv3793eYt2bNGho3bkxqaqrzX6SIiIjkiujoaI4cOcLQoUMpVKgQ5cqV49VXX2XFihWZ1l2xYgUdOnSgZs2aeHp60rNnT/LkycOOHTtITU1l1apV9O3bl9KlS1OkSBEGDRrEV199RVxcnGn5akiMuKQvvviC1atXs2LFCkqWLMm0adMYNGgQu3btsq%2BzfPlypk6dyvjx43nppZd47bXXGDBgAMOGDWPUqFG8//77NGnSJNvnCA0NpWfPniQkJFC4cGEANm/eTOvWrbP8Oiwr58%2Bf58KFCw7zvL29KVbM5wFedWblyjlOjalsRhAbcxMDi8WcOGB%2BblarOXHMzqtQIXPiAPj6Ok6NCgoyJ06VKo5To8za9gClSztOjSpVypw4JUo4To3Ka2KZkP6%2BmsP313vKn9%2BcOJ6ejlOjPDzMiQOQL5/j9GHmhDHn2X0G%2B/jc%2BzP44MGDlC1bliJFitjnVatWjZiYGBITEylYsKDDuiEhIfb7FouFKlWqEB0dTdWqVbl69SrVq1e3L69YsSKenp4cPHiQkiVLGnmJdirYxSW1adOGZ555xv6P1KpVK2bPns358%2Bft/4i1a9emZs2aANSrV4/t27fToUMHAJ5%2B%2BmnWrVt31%2BeoW7cu3t7ebNq0iY4dO5KUlMTu3btZsmRJjvNctmwZM2bMcJjXt28/Bg7sn80jHszo0WZEWWhGEEfmJOYc772X2xlkzZW32fDhuZ1B1u7jf/JP16dPbmeQteefz%2B0Msne7QWJYsWLmxElXsaK58cxk1o5hLrJiYmPmtqw%2Bg/v165fp2/OsXL582d6sS5dec8THxzsU7JcvX3Yo7NPXjY%2BP5/LlywCZYhUuXJj4%2BPicv5h7UMEuuSoyMpKoqCiHefXr1%2BeDDz4gKiqKXbt2kZCQYF%2BWnJxsv51xr9XDw8Phvqenp8O6WbFYLLRr145169bRsWNHdu7cSdmyZR32ku%2Blc%2BfOBAcHO8x7%2B21vfvwxxyHuqlw5W303ciScOGEs1kJeMScpMDcxML/D/t57EBFhTm5mdtjN3GZmd9iHD4fx4yE21ni8b74xHgNsnfUlS6BbNzh82Hi8Nm2Mx0hXurStWP/oIzh71ng8f3/jMcDWWX/%2BeVi9Gv74w3i8F14wHiOdm5utWE9IADOGHZqx3cHWWa9YEY4fhxs3jMfLUOgZli%2Bf7W/t7Fm4dct4PLP%2BzlxEVp/B3t7eDxzPevv93pKDzySr1XrX9e61/H6pYJdcFR4eTteuXTPN/%2Bc//8mRI0dYunQp/v7%2BHD16lDZ3fNjeeXaZO%2B/nRGhoKHPmzCEuLo4tW7bQrl27%2B3q8j49Ppq/eLlyw/ZjpxAn49VejUQwHyMycxMwt2NOZlZtZBXs6s/IqWtR4jDvFxoIZpzzdt894jIwOHzYnZo0axmPc6exZc3bA3N2Nx8jojz/g3DnjcVJSjMe4U2qqOXGvXzceI6MbN8yJ6YzhK7duwR3HYT1s0tLMj5nVZ3BOFS9ePFMH/MqVK1gsFord8e1NsWLFslz38ccft58JJj4%2BHi8vL/vyhIQEnSVG/voOHDhAu3btKFeuHBaLhYMHDzrlecqXL09gYCBr165lx44dmXYKRERE5K/niSee4MyZM1y6dMk%2BLzo6mr/97W8UKFAg07oZ65DU1FQOHTpEzZo18fPzo0iRIg7Lf/31V5KTk3niiSdMy1cFu7gkX19foqOjSU5O5scff2TTpk0Aph5xna59%2B/bMnj2bgIAAfM066E5ERETs0tLM/zGiWrVqBAYGMnnyZBITEzl27Bjz58%2B3f%2BvfsmVLvv/%2BewC6du3KmjVr2L9/P9evX%2Bejjz7C3d2dp59%2BGjc3Nzp16sTs2bM5e/Ys8fHxTJkyheeee47HHnvM6GazU8EuLmnIkCEcPXqUevXqMWPGDN577z2aNm3KP/7xDw6bMZY1g9atW3Pz5s37Hg4jIiIiOeNqBTvAtGnT%2BOOPPwgODqZXr16EhobSrVs3AGJiYkhKSgKgSZMmDB48mOHDh9O4cWP%2B7//%2Bj7lz5%2BJ5%2B8xCAwYMoFatWnTu3JnWrVtTsGBBxo4dazzBDDSGXXLN3S6QVK1aNTZs2OAwb%2B7cufbbixcvdlg2dOhQh/tNmjThyJEjADz11FP2276%2Bvvbb6a5cuYK7uzutW7e%2B/xchIiIiD6VSpUoxe/bsLJfdWSt069bNXszfyd3dnZEjRzJy5EjTc0yngl0eaQkJCURERNClSxcKmXnWDREREbFzxkGnjxINiZFH1rp162jSpAnFihXL0TlbRURERHKDOuzyyGrbti1t27bN7TRERET%2B8tRhN0YFu4iIiIg4lQp2YzQkRkRERETEhanDLiIiIiJOpQ67Meqwi4iIiIi4MHXYRURERMSp1GE3RgW7iIiIiDiVCnZjNCRGRERERMSFqcMuIiIiIk6lDrsxKthFRERExKlUsBujgl3EZGa%2BKVmt/5saj%2BuyiZkrPZ%2B0NEhNNS%2BeUem5pKZCSorxeEePGo%2BRzt3dNj11ypy4PXoYjwFQrpxt2qYN1KhhPN6iRcZjpAsKgtGjYf162LfPeLzFi43HAChe3DYtUwY8PY3Hy2PiyFmL5X9TM%2BKm/90alS/f/6ZmvGeYsd3Tpefm7v6/7SePJBXsIiIiIuJUrtbbedjooFMRERERERemDruIiIiIOJU67MaoYBcRERERp1LBboyGxIiIiIiIuDB12EVERETEqdRhN0YddhERERERF6YOu4iIiIg4lTrsxqhgFxERERGnUsFujIbEiIiIiIi4MHXYRURERMSp1GE3Rh12EREREREXpg67iIiIiDiVOuzGqMOeQ8OHDycsLCzLZdOnT6dTp05Oed7w8HCGDRtmvz927FiCgoKYO3euU55PRERExGxpaeb/PEr%2BMgV7cHAwS5cuzTR/6dKlBAcHm/pcqampzJ8/35RYsbGxBAQEcOzYsSyXR0ZGMnHiRAASEhJYvHgxU6ZM4fXXX7/v5woODqZ69erUqFEj08/69esNvQ6j5s%2BfT0pKSq7mICIiIuKKNCTmARw6dIiPP/6YV1999U993qtXr2K1WvH398disTxQjPDwcLp27WpyZsZcunSJCRMm0K1bN/Lm1Z%2BkiIjIX82j1hE321%2Bmw54Tp0%2Bf5o033uCpp56ibt26jBgxghs3btiXr127lpCQEIKCgmjWrBnLly/PFOPAgQN06dKFixcvUqNGDb799lv7ss8//5yGDRvy1FNPMWHCBFNyTh%2BKExMTQ4sWLQBo3749s2bNAuCzzz6jVatW1KxZk9atW7Nnz54Hfq5ff/2VmjVrcvjwYfu8l156icjISMDWoV%2BwYAGvvvoqgYGBPPvss3z//ff2de%2B1fb/%2B%2Bmvatm1LzZo1adeuHXv27OHixYs0adIEq9VKnTp1WLVqFQALFizg2WefJSgoiFatWrF161aHbTJmzBjGjRtHvXr1qF%2B/vsMQoUuXLjFgwACCgoJo3LgxU6ZMwWq18s4779C/f3%2BH17xmzRoaN25MamrqA283EREREWd6ZNqZVquVPn36EBQUxPbt27l%2B/TqDBw9m7NixjBkzhlOnTvHWW28xb948GjVqxK5du%2Bjduze1a9emUqVK9jiBgYGMGTOGyZMns3v3bgD27t3LiRMnSExMZMeOHezZs4devXrRpk0bqlevbkr%2BFSpUYOPGjTRr1owvvviCSpUqsWnTJqZPn868efOoVq0a27Zto1evXmzatIkyZcrc93NUYwT7aAAAIABJREFUrlyZV199lbFjx7J48WLWrVvHmTNnHIrh%2BfPnM3XqVKpWrcq0adPo378/u3btws3N7a7bNy4ujv79%2BzN27Fiee%2B45NmzYQN%2B%2Bfdm2bRuffPIJPXr04Pvvv8fDw4O9e/cyefJkVqxYQeXKlVm%2BfDlDhw5l586dFC5cGIANGzbw1ltvsXv3btauXUt4eDihoaH4%2BPgQHh5O3rx52bVrFwkJCbz88suULVuW0NBQevbsSUJCgj3O5s2bad26NW5ubg/0ezl//jwXLlxwmOft7U3x4j4PFO9O5co5To0JMCOIjbmJmcvs3MxqC5Uv7zg16upVc%2BIAVKzoODXKrG1furTj1KigIHPiAFSp4jg1qnhxc%2BLcfm%2BzT416wPfGu8YyK6anpzlxPDwcp0bly2dOHID0b53/At8%2Bq8NuzMP/F5BBZGQkUVFRDvPS0tIoWbIk0dHRHD16lKVLl%2BLl5YWXlxf9%2B/enZ8%2BejB49Gl9fX7755huKFSsGQJMmTShUqBC//PKLQ8GenXz58tGrVy8sFgtNmzalYMGCxMTEmFawZ2XlypV07NiRwMBAAJo3b86TTz7J%2BvXr6dWrV5aPyWobeXl58d133wHQt29f2rVrx4oVK5g%2BfTpjxoyhQIEC9nWDg4OpVasWAL179%2BaTTz7hp59%2BIl%2B%2BfHfdvv/5z3/w9/cnJCQEgNDQUDw8PLBarZlyrF27Nrt27aJo0aIAtGnThoiICI4dO0bQ7Q/csmXL8vzzzwMQEhLCO%2B%2B8w%2B%2B//06%2BfPnYvn07q1atomDBghQsWJAPPviAPHny8MQTT%2BDt7c2mTZvo2LEjSUlJ7N69myVLljzw72DZsmXMmDHDYV7fvv0YOLB/No94MGPGmBFlkRlBHJmTmHO4am63v7FySR98kNsZZK1PH3PijB5tTpyMDLx/OFXjxrmdQfYKFTInzu3PCNP4%2B5sbz0yPPZbbGRimgt2Yv1TBntX47KVLlzJv3jxOnTpFamoq9evXd1iemppKfHw8xYsXZ8mSJaxcuZKLFy9itVpJTk4mOTk5R89dunRph3Hlnp6eOX7sgzp58iS7d%2B9m4cKF9nlWq5W//e1v2T7mXmPY3d3dGTNmDN27dyckJISmTZs6LK9QoYL9duHChSlUqBDnz58nLS3trtv35MmTlC1b1mFZq1atsswhNTWVmTNnsmnTJuLj4%2B3zM25PX19f%2B%2B38%2BfMDcOPGDWJjY0lLS3N4rpo1a9pvt2vXjnXr1tGxY0d27txJ2bJlDe1Ude7cOdNBzW%2B95c0PPzxwSAflytnqzhEj4MQJY7EW0cOcpMDcxMxmdm5mdtgjIyE8HH7/3Xg8szvsH3wAYWFw/LjxeBn%2B5wwpXdpWrH/0EZw9azyemQfXV6liK9a7dYMMwwgfmFk7coUL24r1r7%2BGhATj8Ro2NB4jnZubrVi/ehXMGIZ4x7ebD8zDw1asnzwJN28aj2fWDgnYOuuPPQYXL4IZJ2YoVcp4DMkVf6mC/W48PDzw8vJi3759WS5fsWIFn3zyCbNmzaJu3bq4ubllKj7v5kEPAjXC09OTIUOG8Nprr5kaNzY2lvz583Py5ElSU1Mdhouk3VG8WK1WLBbLPbevxWLJ9NjspBfrs2fPpkqVKty4ccPeWU%2BXJ0/Wh1%2Bk/x6ye67Q0FDmzJlDXFwcW7ZsoV27djnKKTs%2BPj74%2BDgOf7lwwbzPkXQnTsCRI0ajGA6QmTmJOYdZuZndFvr9d3PyunzZeIw7HT8Ohw4Zj2N25/PsWXN2vrJ5fzLk8GFz4l66ZDxGRgkJ5sR0xvE9qanmxM1wjJQpbt40J6ZZQ3UySkmBW7fMj/snUofdmEfmoFN/f3%2BSkpI4deqUfV5iYqK9gxsdHU2dOnWoX78%2Bbm5unDlzxqG764r8/f05cscH/5kzZ7IcZpJT6WdsmTNnDikpKSxa5DiM4uTJk/bbV65cITExkVKlSt1z%2B/r5%2BRETE%2BMQa%2BHChZzI4kM4OjqaZs2aUa1aNfLkycOh%2ByggfH19yZMnj8Nz7dmzhy1btgBQvnx5AgMDWbt2LTt27KBNmzY5ji0iIiKSGx6Zgr1y5coEBQUxduxYLl26REJCAhEREfaLEpUtW5bjx49z5coVYmNjGT9%2BPKVLlyYuLi5TLE9PT65evUpsbKzDWVCy89lnnzlcdGnYsGGmnMe9c%2BfOfPnll%2BzYsYOUlBS%2B/fZb2rRpw08//ZTl8%2BZEVFQUzzzzDPXq1SMiIoJp06YRGxtrX75t2zYOHDjAjRs3mD17NiVKlKBGjRr33L5t2rTh7NmzLF%2B%2BnOTkZDZs2MDUqVMpWLAgnre7EUeOHCEpKYmyZcty%2BPBhrl%2B/zq%2B//sqiRYvw9PTM8ndxp6JFi9KsWTNmzpzJ5cuXOXv2LCNHjnQ4MLR9%2B/bMnj2bgIAAh6E1EydOtJ/zXkRERMyjCycZ88gMiQGYPHkyo0ePplmzZri7u9OgQQPGjx8PQNeuXfnuu%2B9o2rQpfn5%2BjBo1ir179zJr1iz7gajp6tevj6%2BvL61atcrR6Rvj4%2BM5ffq0/f7Zs2czDaNo3769w7CavHnzZju8JF2jRo146623GD16NBcvXsTX15dRo0bZDwq983kh64NOwVZQt27dmp07d7Jx40YA%2BykVIyIi%2BOSTTwB48cUX%2BeCDD/jhhx8oVaoUM2fOtA%2BZudv2feyxx/jkk0%2BIiIhg7NixVKhQgVmzZlGiRAkKFSpEUFAQ3bp1IywsjN69exMWFkaDBg2oXLky48aNo1ixYowYMYIiRYrcc3uPGzeOd999l2eeeYYCBQrwwgsvOIzbb926NVFRUZmGw5w/f/6esUVEROT%2BPWoFttksViPjJ%2BSREhwczOuvv%2B5yF166XydPniQ0NJSvvvqKQmYeHHTbU0%2BZFysgABYtgh49jA97/g4XTcxsZudm1qdMQAB89hm8/LLrjWGvVg2%2B%2BALatzdnDLtZByqWK2c7s8vIkeaMYV9k4pmSgoLgxx/hySfNGcO%2BeLHxGGA7PWRICHz5pTlj2LM5OcADcXOzHd9w%2BbI5Y9jPnDEeA2xjzh9/HH77zZwx7GYew5Evn%2B1A0XPnzBnD7udnPMYD2rvX/Jh165of01U9Uh12kfShOl26dHFKsS4iIiKZqcNuzCMzhl1k3bp1NGnShGLFimW64qmIiIiIq1KHXXJs27ZtuZ2CIW3btqVt27a5nYaIiMgjRx12Y1Swi4iIiIhTqWA3RkNiREREREQyiI%2BPZ%2BDAgTRs2JDGjRvz9ttvc/369WzX37x5M%2B3atSMoKIjnnnuOZcuW2ZetXLmSKlWqUKNGDYefixcv5jgfddhFRERExKketg57eHg4KSkprF%2B/npSUFAYNGsT777/PyJEjM60bHR3N0KFDmTJlCs888wx79uzhjTfeoFKlStSpU4erV6/SsGFDPv300wfORx12EREREZHbLl68yLZt2wgLC6N48eL4%2BPjQp08fVq9eza0sTq8ZHx9P7969efbZZ3Fzc6Nx48ZUrlyZ77//HrBdGT4n15G5G3XYRURERMSpnNFhP3/%2BvMOVzAG8vb0zXZzyfv3yyy%2B4ubkREBBgn1etWjWSkpI4fvy4w3yAJk2a0KRJE/v9lJQULly4QMmSJQHbKaVPnDhBx44diYmJoVy5cgwePJhGjRrlOCcV7CIiIiLiVM4o2JctW8aMGTMc5vXr18/wqZsvX75MwYIFHa5An94hj4%2BPv%2BfjJ02ahJeXFyEhIQAULVoUHx8fhg4dSpkyZVi2bBm9e/fmiy%2B%2BoFKlSjnKSQW7iIiIiDx0OnfuTHBwsMM8b2/vHD12zZo1vPPOO1kui4qKyvZxGYv4O1mtViZNmsT69etZtGgRHh4eAJl2IF599VU2bNjAunXrGDRoUI7yVcEuIiIiIk7ljA67j4/PAw9/CQ0NJTQ0NMtlu3fv5urVq6SmpuLm5gbYuu4AxYsXz/IxaWlpvP322xw4cIClS5fi5%2Bd31%2Bf39fXl/PnzOc5XB52KiIiIiNxWtWpVrFYrhw8fts%2BLjo6mcOHCVKhQIcvHREVF8dtvv2VZrM%2BdO5fvvvvOYd6xY8fuWdRnpIJdRERERJwqLc38H2cpXrw4LVq04MMPP%2BTSpUucO3eOmTNn8uKLL5I3r21wyiuvvMKXX34JwA8//MDatWuZO3cuRYsWzRTv4sWLvPfee8TExHDz5k3mz5/PqVOn6NChQ45z0pAYEZM1bGheLF9f27RmTShRwmg0l03MXGbndpfxivelbFnbNCgIDJ7BAIDHHzceI91jj9mmL78M93Ehj2z98YfxGAClStmm/v7g7m483uLFxmOkS/9aPDISLl0yHq97d%2BMxwPb3FRIC4eGwb5/xeEuWGI%2BRrlgxaNkSvv0WcnDg3j39/rvxGAAlS9r%2Bn3btgrg44/H%2B3/8zHiPd7eEYuLmB1Wpe3FzwsJ2HffTo0YwaNYo2bdqQN29enn32WcLCwuzLT506xZUrVwDbhZGuXr3KM8884xCjbt26fPrppwwZMgSr1UqPHj1ISkqicuXKLFy40H4WmZxQwS4iIiIikkGhQoWYPHlytsu3bdtmvx0VFXXXA1U9PDx49913effddx84HxXsIiIiIuJUD1uH3dWoYBcRERERp1LBbowOOhURERERcWHqsIuIiIiIU6nDbow67CIiIiIiLkwddhERERFxKnXYjVHBLiIiIiJOpYLdGA2JERERERFxYeqwi4iIiIhTqcNujDrsIiIiIiIuTB12EREREXEqddiNUcEuIiIiIk6lgt0YDYmRh1pYWBjDhw/P7TREREREnEYddjEkODiYuLg48uRx3Pfz9vZm27ZtuZSViIiIuBJ12I1RwS6GhYeH07Vr19xOQ0REROQvSQW7OM306dP5%2BeefyZ8/P9u2bePAgQPcuHGDiRMnsm3bNi5fvkytWrUYO3YsZcuWBeD06dOMGTOGffv2kZaWRsuWLXn33Xfx9PQEYPny5cyePZsrV67Qvn170u7YZf/Xv/7FwoULiYuLo1y5crz%2B%2BuuEhIQA0L17dxo0aMChQ4f4%2Buuv8fX1Zdq0aSxZsoQ1a9ZQoEABxowZQ5MmTf7cDSUiIvIXpw67MSrYxan279/PwIEDmTRpEgDvv/8%2Bhw4dYtmyZRQpUoRp06bRs2dP/vOf/wDQp08fgoKC2L59O9evX2fw4MGMHTuWMWPGcPz4cUaOHMm0adN4%2Bumn%2BeKLLxg7diwtW7YE4L///S/vv/8%2Bc%2BbMITAwkC%2B//JIhQ4ZQqVIlAgICAFvBP3XqVMaPH89LL73Ea6%2B9xoABAxg2bBijRo3i/fffv6%2BC/fz581y4cMFhXv783pQo4WPG5sPHx3FqjK8ZQWzMTcxcrpqb2Xk99pg5cQCKFnWcGpUvnzlxSpRwnBpVvLg5cQAKF3acGhUUZE6cKlUcp0YVK2ZOHDB/m12/bk4cs//O8ppYWqXHMjNmLlHBbszD/xcgLi1Pnjx07doVi8VCWloaq1ev5sMPP6RkyZIADBo0iM8%2B%2B4wDBw5gsVg4evQoS5cuxcvLCy8vL/r370/Pnj0ZPXo0W7dupUqVKjRv3hyAjh07smDBAvtzrVy5kjZt2lCnTh0AQkNDWbRoEf/973/tBXvt2rWpWbMmAPXq1WP79u106NABgKeffpp169bd1%2BtbtmwZM2bMcJj35pv9GDCg//1vrLvo3t2MKEPMCOLInMScw1Vzc9W8AJ57LrczyNrzz%2Bd2Btlr3NicOLe/CTTNkiXmxjNTw4a5nUHW2rfP7QyyZ%2BaOkzyUVLCLYZGRkURFRTnMq1%2B/PoGBgZQuXRqLxQLAH3/8wbVr1%2Bjbt699HkBaWhpnz54lNTWV1NRU6tev7xArNTWV%2BPh44uLiKFOmjMMyPz8/%2B%2B3Y2NhMj61QoQJnz56130/fUQDw8PBwuO/p6UlycvJ9vfbOnTsTHBzsMO/zz72ZPPm%2BwmTLx8dW3y1eDOfPG4s1BJOSAnMTM5ur5mZ2Xv7%2BxmOkK1rUVqxv2QKXLxuPd%2BWK8Rhg63g%2B/zysXg1//GE83h3vH4YULmwr1r/%2BGhISjMcLDzceA2yd9SVLoFs3OHzYeLw73tsNKVzYVqx/84052%2BzMGeMxwPZ31r49fPGFOX9nbdsaj5Eub15bsR4fDykpxuN5exuP8YDUYTdGBbsYlt1Bp9OnTydvhq/x0seh/%2Btf/%2BKJJ57ItP7WrVvx8vJi3759WT5PVsW0m5ubw/2MOwLpbt26Zb9959ls7rx/v3x8fPC5Y4jD9esQG2sobCbnz5sR0%2BSkwKzEnMOs3LL4mzLk/Hk4fdp4HC8v4zHudPkyXLxoPI4ZRc%2Bd8c6dMx7n9nuQqRIS4NIl43Gyed97YIcPmxMzPt54jDslJJgTNy7OeIyM/vjDnJhmFNZZxXRGXHlo6Dzs8qcpVKgQRYsW5ciRIw7zY28XVf7%2B/iQlJXHq1Cn7ssTEROJvv7H7%2BPg4dMsBjh07Zr/t7%2B/vcB8gJibGoQsvIiIif760NPN/HiUq2OVP1aVLFz766COOHTvGrVu3WLBgAS%2B%2B%2BCLXr1%2BncuXKBAUFMXbsWC5dukRCQgIREREMGzYMgMaNG/PLL7%2BwY8cOkpOT%2Bfzzz4nL0A0JCQlh3bp17N%2B/n1u3brFmzRp%2B/fVXWrdunVsvV0RERFDBbpSGxMifqm/fviQkJNCtWzdu3bpF1apVmTdvHvnz5wdg8uTJjB49mmbNmuHu7k6DBg0YP348AEFBQbz99ttERERw9epV2rZtS8uWLbFarYCtYI%2BNjWXYsGFcvHiRihUr8umnn1K%2BfPncerkiIiIihqlgF0PudjXT/v3707%2B/49lSPDw8iIiIICIiIsvHlC1bljlz5mQb85VXXuGVV17JdnmvXr3o1atXlssWL17scH/o0KEO95s0aZJpuI6IiIgY96h1xM2mITEiIiIiIi5MHXYRERERcSp12I1RwS4iIiIiTqWC3RgNiRERERERcWHqsIuIiIiIU6nDbow67CIiIiIiLkwddhERERFxKnXYjVHBLiIiIiJOpYLdGA2JERERERFxYeqwi4iIiIhTqcNujDrsIiIiIiIuTB12EREREXEqddiNsVitVmtuJyHyV3LsmHmx3N3Bzw9OnYLkZGOxKuGiiYG57%2BQeHuDvDydPws2bxuPlMemLSLO3WfnyxmNk5OYGqanmxLp0yZw4efNCsWIQHw8pKcbjmfW7BNv2KloULl82Z7tt3mw8Bti2V8uWsHGjbbsZ1a2b8RjpgoLgxx/hySdh3z7j8XbtMh4DoEABW2779sG1a4bD3azb2ISkbCwW21tHcjKYUa15eBiP8aDef9/8mP/8p/kxXZWGxIiIiIiIuDANiRERERERp9KQGGPUYRcRERERcWHqsIuIiIiIU6nDbow67CIiIiLiVGlp5v84U3x8PAMHDqRhw4Y0btyYt99%2Bm%2BvXr2e57rfffktAQAA1atRw%2BDlw4MDt157G5MmTadasGXXr1qVnz56cOHHivvJRwS4iIiIikkF4eDg3btxg/fr1rFq1ihMnTvB%2BNqe6uXr1KuXLlyc6OtrhJzAwEIDFixezYcMG5s6dy44dO6hYsSL9%2BvXjfk7UqIJdRERERJzqYeqwX7x4kW3bthEWFkbx4sXx8fGhT58%2BrF69mlu3bmVa/8qVKxQpUiTbeCtWrOD//b//R6VKlShQoACDBg0iJiaGn376Kcc5qWAXEREREbntl19%2Bwc3NjYCAAPu8atWqkZSUxPHjxzOtn5CQwJUrV%2BjevTt169albdu2rF27FoAbN25w9OhRqlWrZl%2B/QIEC%2BPv7Ex0dneOcdNCpiIiIiDiVMzri58%2Bf58KFCw7zvL298fHxMRT38uXLFCxYEIvFYp%2BX3kGPz%2BKCZF5eXpQsWZLBgwdTtWpVNm/ezPDhw/H29qZixYpYrdZMHfgiRYpkGSs7KthFRERExKmcUbAvW7aMGTNmOMzr168f/fv3v%2Bdj16xZwzvvvJPlsqioqGwfl7GIT9elSxe6dOliv9%2B2bVu2bt3KqlWrGDp0aJZxrFZrlrGyo4JdRERERB46nTt3Jjg42GGet7d3jh4bGhpKaGholst2797N1atXSU1Nxc3NDbB13QGKFy%2Beo/i%2Bvr78/PPPFC1alDx58mTqpl%2B5ciXHsUAFu4iIiIg4mTM67D4%2BPoaHv2SlatWqWK1WDh8%2BTPXq1QGIjo6mcOHCVKhQIdP6y5cvp0iRIrRo0cI%2B79ixY/j5%2BeHh4cHjjz/OwYMHqVevHmAb837y5En7WWRyQgedioiIiIhTPUxniSlevDgtWrTgww8/5NKlS5w7d46ZM2fy4osvkjevrdf9yiuv8OWXXwJw/fp1Ro8ezc8//8ytW7f48ssv2bVrF127dgWga9euLFq0iGPHjpGYmMikSZOoWrUqNWrUyHFO6rDLX154eDjJyclMnDgxt1MRERGRh8Do0aMZNWoUbdq0IW/evDz77LOEhYXZl586dYorV64A0KNHDxITExkwYADx8fFUqFCBWbNm2bvzXbp04eLFi7z%2B%2Butcu3aNoKCgTGPv70UFu2Tp999/56OPPmL37t0kJCRQuHBhatWqRe/eve9rj9AVREZG2m%2BnpqayaNEiXn311VzMSERE5NHi7CuTmq1QoUJMnjw52%2BXbtm2z37ZYLLz55pu8%2BeabWa5rsVjo379/jg6GzY6GxEgmv/zyCy%2B88AL58%2Bdn9erV/PTTT/zrX/%2BiZMmSvPTSS/ZL7T6MDh06xMcff5zbaYiIiIjkmAp2yWT06NE8/fTTjBo1Cm9vbywWC76%2BvowYMYIhQ4bYx28dPnyYV155hTp16lC/fn2mTJlCamoqAKtWraJdu3asWbOG4OBggoKCGDRokP0KYWlpaUybNo1nn32WmjVr8uKLL3L48GF7DsHBwXz00Uc8%2B%2ByzvPvuuwD89ttv9OjRg7p16xIcHExERAQ3b94E4MKFC/Tp04d69epRu3ZtXnvtNU6fPg3A8OHDCQsL48CBA/avpWrUqMHMmTN54oknHI7cvnnzJkFBQXz11VfO39AiIiKPiIdpDLsr0pAYcfDHH3/w448/8s9//jPL5a%2B88goASUlJ/OMf/6Bbt27MmzePuLg4%2Bvbti5eXF2%2B88QYAp0%2Bf5ueff2b9%2BvWcPn2aDh06sGXLFkJCQliwYAHr169n3rx5lC1blmXLltGjRw927NiBl5cXABs2bOCTTz7B39%2Bf5ORkXnvtNUJDQ5k7dy5nz56ld%2B/eTJ06lWHDhjF16lRSUlLYvn07bm5uvP/%2B%2B0yYMIFp06bZcw8MDGTMmDFMnjyZ3bt3Y7VaWb16NRs3brQfGLJr1y7y589Po0aNcrS9srpow82b3nh7m3PUer58jlNj3M0IYmNuYmC1mhMHzM/tPs6Te1dm5%2BXK8pr00XL7dGr2qVFm/S7B/NyKFTMnTuHCjlOjgoLMiQNQpYrj1KgCBcyJkz%2B/49QgM//M0mOZGTO3PGoFttlUsIuDU6dOAVCuXLm7rvfVV19htVrp27cvAH5%2BfvTs2ZM5c%2BbYC/Zr164xaNAgvLy8ePzxxwkICLBf0nflypW8%2Buqr9tMjde/enYULF7Jjxw5CQkIA%2BPvf/27PY%2BfOnVy/fp3%2B/fvj7u5OhQoV6N69O4sWLWLYsGEkJCTg5uaGp6cnbm5uhIeH3/OCBBaLhXbt2rFu3Tp7wb5582ZCQkLs3yLcS1YXbXjzzX4MGPDg49SyUqqUGVH8zAjiyJzEnKN06dzOIGuuvM1crfhMZ1bx6QyFCpkTp2VLc%2BKka9jQnDhm5wWwZIn5Mc1g0o6Eia0Ru0dhP1/uTgW7OEgvclNSUuzz9u7dy2uvvQbYrsxVunRpOnbsyB9//OFwAKrVasXd/X9vVcWKFaNgwYL2%2B/nz5%2BfGjRsAnDx5krFjxzpcTSwtLY2zZ8/a75cpU8Z%2BOzY2Fj8/P4f4FStW5Ny5c1itVv7xj3/Qp08fmjZtStOmTWnRogVNmjS55%2BsNDQ1l1qxZnD59mpIlS7Jjx477GuOe1UUbbt705vZ%2Bj2H58tnqu3Pn4PZoogfmh0lJgbmJgfkd9tKl4exZc3Izs8Nu5jbL8P9hCjc3uD2kzbCEBHPiuLnZivWEBHNyM7vDXqgQXL1qTm7ffms8Bti2V8OG8M035vwesrkS5AOpUsVWrHfrBhmGQD6wTz4xHgNsnfUqVWw5Xb9uOFxydfO%2BlbBYbG8dt26Z8zbp7oy9iRxSh90YFezioHz58lgsFo4fP07JkiUBqFu3LtHR0YBtbPqMGTPsFwJYt25dtrHy5Mn%2BEAlPT08iIyMdLjJwpzu73Hd2zK1Wq31MfGBgIP/973/ZuXMn27Zto1%2B/fnTq1Inw8PC7vl5/f39q1arFhg0bqF69OsWKFbuvCxlkddGGY8cgOTnHIXLk1i0zYpqcFJiVmHPeyW/dgtvHOBhyl7/jB2LWNnNlGXb4TZGaak5Ms3%2BXYMvNjIL9jqsgGpaQYE7MffuMx7jT4cPmxL12zXiMjK5fNyWmmf2HjDGdEVceHjroVBwUKVKERo0a8emnn2a5PO12YeXv78%2BpU6e4luHNLT4%2BnsTExBw9j5%2BfH0eOHHGYFxsbe9f1T506RXKGQicmJgZfX18sFgsJCQnkzZuX5s2bM378eN577z1WrlyZo1xCQ0PZuHEj//nPf2jbtm2OHiMiIiI5p4NOjVHBLpm8%2B%2B67HDhwgLCwMHsRffnyZVasWMGUKVOoWbMmjRs3pnjx4kyYMIHExEQuXLjAwIEDmTRpUo6eo0uXLnz%2B%2Befs37%2Bf1NRUvvzyS9q0acOZM2eyXL9%2B/fq4ubkxc%2BZMkpOTiYmJYdGiRYSGhgLQqVMnZs6cyc2bN0lOTubw4cNZjsP39PTk6tWrxMbG2ofnhISEcPToURXsIiIiTqKC3RgNiZFMKlasyMqVK5k5cyZdu3bl8uXLFChQgOrVqxMeHk6rVq2wWCzMmjWLyMhIGjW3esuPAAAgAElEQVRqRMGCBWnWrBlvvfVWjp7jxRdf5OzZs/Tr14/ExEQqVqzI9OnTHcatZ1SgQAHmzp3L%2BPHjadCgAUWLFiU0NNR%2BgOuHH37Ie%2B%2B9x4IFC8ibNy81atTIcuehfv36%2BPr60qpVKyZMmEBISAiFCxfm6aefJi4u7p4H24qIiIj82SxWq0ZFibz88su0b9%2Bejh07Go517JgJCd3m7g5%2BfnDqlPFhz5Vw0cTA3FaJhwf4%2B8PJk641ht3sbVa%2BvPEYGZl50OmlS%2BbEyZvXdsaZ%2BHjXG8Pu5gZFi8Lly%2BZst82bjccA2/Zq2RI2bjRnDHu3bsZjpAsKgh9/hCefNGcM%2B65dxmOA7fSQQUG2nEwYw36zbmMTkrKxWGxvHcnJ5oxh9/AwHuNBGbjIZ7amTzc/pqtSh10eaVarlaVLl3L69GkNhxERERGXpIJdHmmBgYH4%2B/szdepUPD09czsdERGRv6RHbcy52VSwyyMt/XSVIiIi4jwq2I3RWWJERERERFyYOuwiIiIi4lTqsBujDruIiIiIiAtTh11EREREnEoddmNUsIuIiIiIU6lgN0ZDYkREREREXJg67CIiIiLiVOqwG6MOu4iIiIiIC1OHXUREREScSh12Y1Swi4iIiIhTqWA3RgW7iMkOHTIvVpEi4OcHMTFw5YqxWJVw0cTMVqQI%2BPvD77%2B7Vm5mb7PYWOMx0hUsCLVrw/79kJhoTjwz5M8PxYrB2bNw/brxeO7uxmOk8/SEokXhwgW4ccN4vN9/Nx4D/redzpyBuDjj8XbtMh4jXYECtuknn8C1a8bj/f3vxmMABAXBjz9Cz56wb5/hcB5JSSYkdZvFAnjinnYDrFYTAuY3IYbkBhXsIiIiIuJU6rAbo4NORURERERcmDrsIiIiIuJU6rAbo4JdRERERJxKBbsxGhIjIiIiIuLC1GEXEREREadSh90YddhFRERERFyYOuwiIiIi4lTqsBujgl1EREREnEoFuzEaEiMiIiIi4sLUYRcRERERp1KH3Rh12EVEREREXJg67CIiIiLiVOqwG6OCXR5q4eHhJCcnM3HixNxORURERLKhgt2YHBfsr732Gnv37gUgNTWVtLQ08uXLZ1%2B%2BceNGypYta1pi//73vwkODqZ48eI5Wv/q1avMmzePTZs2ce7cOTw9PalUqRIvv/wyISEhpuX1sDp48CBXrlyhYcOG2a5z4MABPvroI3788Udu3rxJyZIladWqFX369MHDw%2BNPzDZ7qampLFq0iFdffRWAyMjIXM5IRERExLlyPIb9008/JTo6mujoaPr06UNgYKD9fnR0tKnFempqKuPGjSM%2BPj5H6ycmJtK1a1d%2B%2BOEHZs6cyf79%2B9m0aROtW7dm%2BPDhLF682LTcHlYrV67km2%2B%2ByXb5zp07efnll6lWrRpbtmxh7969REVFsW3bNl5//XWsVuufmG32Dh06xMcff5zbaYiIiMh9SEsz/%2BdRYtpBp9OnT6d3794MGjSIwMBAAIKDg1m6dKl9ne%2B%2B%2B46AgABu3rwJwJw5c3j66aepWbMmLVq0YP369QDUq1ePxMRE2rdvz4wZM%2B753PPmzSMpKYn58%2Bfzt7/9DYvFQtGiRXnppZeYNGkSZcqUsa975coVhg0bRuPGjWnQoAFvvPEGsbGxpKWl0bhxY1avXu0Qu1%2B/fkRERABw%2BPBhXnnlFerUqUP9%2BvWZMmUKqampAKxatYo2bdowYcIEatasyZkzZxg%2BfDhjxoxh3Lhx1KtXj/r16zN37lx77PTt0717d2rWrEnnzp05e/YsQ4YMISgoiBYtWnDw4EH7%2Bnv27KFz584EBQXx97//nQULFjhs/z59%2BjBv3jwaNWpE3bp17d3nMWPGsGTJEj799FOee%2B65TNsvNTWVUaNG8dJLL9G/f38KFy5Mvnz5qF27NnPnzsXX19e%2B8/Tbb7/Ro0cP6tatS3BwMBEREfbfZ3bb4N1336V79%2B60aNECgICAAHbu3Gl//lWrVtGoUSP730j16tXZvn07zZo1IzAwkD59%2BnDt2jUOHDhAly5duHjxIjVq1ODbb79l%2BPDhhIWF2WNt3bqVdu3aERQUROvWrVm0aJF92b1%2BHyIiIuIcKtiNMXUM%2B/79%2Bxk4cCCTJk2657r/n737DmvqfP84/g4o4K7WDeKuWBXFxXJrVXBBrVhtnVBRizhqneBo3RO/VdzWb/3WFq1WqtZa917UgQu1iIpWASdDIIz8/qCkxKBiCTnpr/fruryEc8KTD0mA5zy5z32yV8O3bNlCrVq1OH36NMOGDcPV1ZXQ0FDat29PaGgoNWvWfO1Ye/bswcvLCwsLC719HTt21Pl88uTJJCUl8dNPP1GoUCEmTJjAqFGj%2BOGHH%2BjYsSN79%2B7F09MTgJSUFI4ePcrKlSt5/vw5Pj4%2B9O3bl9WrVxMTE8Pw4cMpWrQoQ4cOBSA2NhYLCwvCwsIoVCjrod25cyfjx4/n2LFj/PTTTwQEBODh4UH58uUB2LhxI//5z38oUaIEHh4efPTRR3z55ZfMmjWLYcOG8dVXX7FixQru37/P8OHDCQwMpEePHvz%2B%2B%2B/4%2BPjw9ttv061bNwDOnj2Lvb09Bw4c4LfffmPgwIF0796dwMBArl%2B/TsOGDRk7dqzeY3T58mXu3btHv3799PZVrFiRWbNmAaBWqxk8eDAeHh6sWrWK%2B/fv4%2Bvry5IlSxg3btxLH4N9%2B/Yxe/ZsWrdu/drnEiA9PZ1t27axdetWUlJSGDRoEEuWLGHSpEl8%2BeWXLFy4kGPHjgGwbds27ddFREQwcuRIlixZQuvWrTl9%2BjS%2Bvr5UrVpVe9%2Bvez7eVGxsLHFxcTrb0tLKUbbs3xvvRcWL6/6fP6UMMUgWwwYzLFPNZuhcxYoZZhyAIkV0/zfUePllZaX7f37lKOPMt%2BwyQUOVC1aoYJhx3n5b9//8MuXXmYODYcaxs9P9P79UKsOMk3MsQ44p/pEMOmE3MzOjT58%2BqPLwwoqPjwegaNGiqFQqHB0dCQsLw8zMjKSkpDe63%2BjoaGxtbV97u6dPn7J3715CQkK0tfEjR46ke/fuPHjwgM6dOzNkyBBSUlKwsrLi8OHDFC9enGbNmrF79240Gg3Dhw8HoEqVKnh7e7Ny5UrthD0hIYFPPvlEp7bf2tpaewDg7u7OpEmTuHXrlnaC2LZtW6pXrw6Avb09SUlJ2tXmli1bEhISAmRNNGvXrs37778PZK1Sf/jhh4SGhmon7Obm5vj6%2BmJmZoazszNlypQhMjJS%2B47Hqx4/KysrKlWq9MrbHT58mOTkZEaMGIGFhQXVq1enX79%2BfPPNN9oJ%2B8seg7Zt275y7Bd5e3tTqlQpSpUqxYcffsj//vc/Jk2a9Mqv2bJlC87OznTo0AEAV1dX2rZty6%2B//qqdsL/u%2BXhTISEheu8CffqpH%2B%2B/P%2BJvjfcyjRsbYpRWhhhEl2GCFQxTzWaquQDefVfpBLmrUUPpBC%2BXh789eVK7tmHGydajh2HHMyRDTYzPnjXMONk2bjTseIZkIueR5cc/bUX8yZMnTJs2jTNnzmBmZkbLli2ZMmUKRXI54AwICCA0NFRnW2ZmJo0bN2bDhg1s2bKFyZMn68yNAA4cOEDZsmXzlMegE/ZKlSrlabIO4OLiQvPmzenUqRNOTk60adMGDw8Piv%2BN1SeVSqUtTcnWoEED7ccZGRns2bOHZ8%2BeodFodFbta/z5h%2BCPP/6gadOmFC9enKNHj9KhQwd%2B/fVXOnfujJmZGdHR0Tx69EhnXI1Go7OqX7JkSb38NjY22o%2Bzn%2BSUlBTttgo5VlUsLS11vt7Kygq1Wg3AnTt3uHjxot79Z0/2ASpXroyZ2V9VTkWKFNG5r5dRqVRkZmai0Whe%2BfzdvXuXKlWq6HzPNWrU4MGDB9oa99weg5wlSXlVI8cf6MqVKxMbG/var7l7967eOzI1atTg4sWL2s9f93y8qd69e9OuXTudbdeulSNHxU%2B%2BFC%2BeNb87exYSE/M3VisMFAoMG8zQTDWboXMZeuXz3XfhyhVITjbMeIZgZZU1Wb95E/Lxc6pl6BV2W1u4cwf%2BLAvMlyNH8j8GZK2s9%2BgBoaHw6FH%2BxzPUKjZkvS7s7CAiwjCvM2/v/I8BWZk2boS%2BfbOy5dcrzhd7YypV1mstNRUMcS6Zod6t%2BhcICAggPT2dHTt2kJ6ezqhRo5g/fz5TpkzRu%2B2MGTN0mmBoNBr69OmjXVBNSEjAxcWFdevW/e08Bp2wZ5dAvExmjsMrS0tL1qxZw6VLl9i/fz9ff/0169at06shz4vq1asTGRmpsy17knb37l3at2//2pMm09LSMDMzo2PHjuzbt4/WrVtz6NAhbY2zpaUltWvXZvv27S8dI7fvP%2BcEOjcv7n/Z7a2srGjdujUrVqzI81h5VbVqVdRqNbdv39Y5AMjNixN6jUZDWlqa9vPcHoPXvS5ePNjKbVteDwRfl%2B/vPkYvU758eb3V%2BZs34dkzg94NiYmGGNPAocBQwQqGqWYzVK6COBE8Odm0DnKypaQYZoKXy%2B%2BafEtNNczBRExM/sfI6dEjw4z5hu9450lysmHGPXcu/2PkFBFhmDEL4mdToymYcY3on7TC/vDhQ/bv38%2BPP/6orcgYNmwY/v7%2BTJw4UW%2Bl/EUhISFkZmbSq1cvIOv8yVKl8leWWqBXOrWwsNCekAhZq8TZ0tPTiY%2BPp379%2Bvj7%2B7N9%2B3aePHnCyZMn3/h%2B3N3d2bRpU66lNDkn6jY2NqhUKm7evKndlv1xdkmNm5sbBw8e5Pjx4xQvXpxGjRpp90dHR%2Bvcx5MnT0g00h83W1tbrl%2B/rvP9xMXFaVfg86Nu3brY2trmeuT36NEj3N3diYqKokqVKkRHR%2BvcZ1RUlPZxzasXXxfR0dF6t8n5Wrl7967OOxEvY2trq3fglp1bCCGEEMr5J510evXqVczNzalTp45227vvvsvz58915pC5SUpKYvHixUyYMEE7N4qPj%2Bf27dv06tWLpk2b0rNnT%2B25eHlVoBP2atWqsX//fpKTk4mOjtY5QXDt2rUMGDCABw8eAHDt2jXS0tKwtbXF6s%2B3bG7cuKGdEHfu3JmwsDAgq194586dtRPHgQMHUqlSJfr27Ut4eDiZmZmkpKRw6NAh/P39qVatGm%2B99RYlS5akRYsWLFmyhKdPn/Ls2TOCgoJwdHTU1m83adIEc3Nz1qxZg5ubm/bBbtGiBWXKlGHu3LkkJiYSFxeX5xNsDaFLly48ffqU4OBgUlJSiI6OZvDgwfz3v//N09dbWlpy%2B/ZtbbeXhQsXMmfOHCBr1XnatGn8%2BOOPzJo1i8ePH5Oenk5YWBgDBw6kVq1aVK9eHScnJ8zNzVm2bBlqtZqoqCi%2B%2BeYbPDw83uh7qVatGr/%2B%2BitpaWlcvXqVffv26d1m3bp1PHv2jAcPHhASEqKtgbeysiIhIYG7d%2B/qlbK4ublx/PhxDhw4QHp6OkePHuXAgQN5zpfzMRFCCCGEaYuNjeXy5cs6//JSQvs6T58%2BpXjx4jqLkdkr5K9rOf7dd99hZ2dH4xznK7311luUL1%2Be2bNnc/jwYbp27Yqvr6/eIuOrFOiEfdSoUTx9%2BhQnJyfGjBmDj4%2BPdt%2BgQYOwt7fHw8ODhg0bMnHiRKZOnUrdunUpW7YsHTt2ZOzYsQQFBQFZK6XPnz8HIDk5maioKO1qs6WlJRs2bKBt27aMGzcOBwcHXF1d%2Beqrr%2BjSpQs//vijtq56zpw5FC1aFDc3N9zd3SlWrBhLliz56wExM6NTp06cPn1a54JLhQsXJjg4mJs3b%2BLq6oqHhwfVqlVj/PjxBfkQapUuXZrg4GD27dtHs2bN%2BPjjj2nbti2DBw/O09e///77HDt2jM6dO5ORkUFcXBwxOd4udXV15dtvv%2BXWrVt06tSJZs2aMX36dHr27MnixYsBKFasGKtWreLMmTM4Ozvj4%2BND9%2B7dtSfd5tWkSZM4f/48TZs2Zf78%2BTqvi2zvvfce77//Pu%2B99x41a9bE398fACcnJ2xsbHBzc2P//v06X9OoUSNmzJjBwoULadasGXPnzmXBggU0b948T7lefEyEEEIIYRgFscIeEhLC%2B%2B%2B/r/Mvu1nH62zbto13330313%2B5lepme1VFQWZmJv/9738ZOHCgzvYRI0awYsUKatWqRdGiRRk0aBB2dnavLLPWu1%2BNqVwRRwiy%2BrD379%2Bf8PBwk7m66pt6g5%2B/1ypVClq1gsOH81/23A0TDWZopprN0LlKlsz/GNmKF4cmTeC33wxTw26o1pWGPhk2l9a/f5uVVVZnlxs3DFPD/ud1SPKtQgUYPBjWrTNMDXvLlvkfI1uxYlknsZ47Z5gadkNlc3DIOhm8cWPD1LD/ubhoECpV1mstJcUwNeyGOiH8b8hjZ%2Bc3snmzfmvlcuXK/e3Ob9mOHTvGkCFDCA8Px9zcHMiqa3d1dWXHjh3UfklXp%2Bx20qdOncq11XhOo0aNomjRotrW2a9j0JNOhRBCCCGEeFFB1Jzn1vjBEOrWrYtGoyEiIoJ69eoBWc1MSpYs%2BcrmHHv37sXJyUlvsr5q1SoaNmyIo6OjdltkZKROJcfrFGhJjBBCCCGEEP%2Bkk07LlClDp06dCAoK4vHjxzx48IBly5bxwQcfaDvfDRgwgJ9//lnn665cuZJro4uHDx8yffp0oqKiSE1N5euvvyY6Olp7bZ28kBV2YVIcHR25du2a0jGEEEII8S/2xRdfMG3aNLp27UqhQoXo0KEDo0eP1u6Pjo7m2QvljXFxcbmu%2BH/22WdoNBr69%2B/P8%2BfPeeedd/jvf/%2Bbpw542WTCLoQQQgghCtQ/qQ87QIkSJVi4cOFL97/Y%2BAJg9%2B7dud7W0tKSyZMnM3ny5L%2BdR0pihBBCCCGEMGGywi6EEEIIIQrUP22F3dTIhF0IIYQQQhQombDnj5TECCGEEEIIYcJkhV0IIYQQQhQoWWHPH1lhF0IIIYQQwoTJCrsQQgghhChQssKePzJhF0IIIYQQBUom7PkjE3YhDCwszHBjVaoErVrBlStw/37%2BxuqGiQYzNFPNZuhcfn75HyPbn5fapkYNSE/P/3hPn%2BZ/DABLy6z/ixeHwoXzP56VVf7HyJadp0QJw4w7cGD%2Bx4C/nstu3QzyXKaWqZTvMbKpVGABqOs5oNHkfzzL58/zPwhkBQM4fhyDBCtaNP9jZHNwgLNnwcUFzp3L/3iG%2BP6EImTCLoQQQgghCpSssOePnHQqhBBCCCGECZMVdiGEEEIIUaBkhT1/ZMIuhBBCCCEKlEzY80dKYoQQQgghhDBhssIuhBBCCCEKlKyw54%2BssAshhBBCCGHCZIVdCCGEEEIUKFlhzx%2BZsAshhBBCiAIlE/b8kZIYIYQQQgghTJissAshhBBCiAIlK%2Bz5IyvsQgghhBBCmDBZYRdCCCGEEAVKVtjzR1bYBQCdOnVi8%2BbNSsfIVUBAAOPGjXvpfi8vL7766qt838%2BpU6eoU6cOqamp%2BR5LCCGEEH/JzDT8v38TWWEvYO3atSMmJgYzs6xjo7Jly%2BLo6IiPjw%2B1atXK19g//PAD7dq1o0yZMvnOuXv37r/9tXXq1KFw4cKoVCoAVCoVFStWpEePHvj6%2BlKoUP5eZjNmzMjX1wshhBBC/JPJCrsRBAQEcPHiRc6dO8e6desoW7YsPXv25MSJE397zIyMDGbPns2TJ08MmPTvCw4O5uLFi1y8eJHz58%2BzYMECQkJCWLt2rdLRhBBCCKEwWWHPH5mwG1GhQoWoXr06Y8eOxdPTk4CAAPr168ecOXN0brd06VJ69eoFwMqVK2nTpg0NGzakU6dO7NixA4DmzZuTmJhIjx49WLp0KQBhYWF4eXnRuHFjOnXqxOLFi8n88xU9YcIEJk6cyBdffEHjxo1xdHTk22%2B/1d5nu3bt%2BO677wBITU0lICCAFi1a0LhxYz7%2B%2BGN%2B//33PH%2BfZmZm2Nvb8%2BGHH7Jnzx7t9oiICAYMGEDTpk1xcnJi0aJFZGRkABAXF8ewYcNo3rw5TZo0YfDgwdy7d0%2BbffTo0dpxli1bRosWLXByciI4OFjnvvv168eCBQu0n9%2B9e5c6deoQGRkJwJ07d/D29sbR0RFHR0c%2B%2B%2BwzEhMT8/y9CSGEEEIYm5TEKMTPz4/vvvsOT09PQkJCGDdunLZsZs%2BePfTs2ZPffvuNZcuWsWXLFmrVqsXp06cZNmwYrq6uhIaG0r59e0JDQ6lZsyYPHz7E29ubcePG0atXL65du8Ynn3xC%2BfLl%2BeijjwD45ZdfmDhxIidPnuTw4cP4%2BfnRpEkT7OzsdLKtXr2aCxcusGPHDooWLUpAQAABAQF8//33b/Q9pqWlaT9%2B/vw5Pj4%2B9O3bl9WrVxMTE8Pw4cMpWrQoQ4cOZcmSJaSnp3PgwAHMzc2ZP38%2Bc%2BfO5T//%2BY/OmEePHmXVqlWsXbuWBg0asHLlSq5fv07Lli3zlCkgIABra2uOHDlCYmIiAwYMYNWqVYwZM%2BaNvrdssbGxxMXF6WyzsCjH22%2BX/1vjvahsWd3/86eSIQbJYthghmWq2QydK5%2BlZjrMzXX/zy9LS8OMU7iw7v%2BGGs8Qsh9/Qz0PhnrsDZzrz0pHg45lsDENNZChgzk4GGYcgOy/zy/8nf4n%2BretiBuaTNgVUrZsWUqWLIm1tTWJiYmcOnUKZ2dnoqOj%2Bf333%2BnSpQvh4eEAFC1aFJVKhaOjI2FhYZiZmZGUlKQz3o4dO6hcubJ2ct6gQQM8PDzYs2ePdlvlypXx8vICoEOHDtStW5cDBw7oTdiHDBnCgAEDKFGiBJB1QurIkSPz/L2lp6dz/vx5QkJC8PX1BeDQoUNoNBqGDx8OQJUqVfD29mblypUMHTqU%2BPh4zM3NsbKywtzcnICAAG1NfE579uyhRYsWNG3aFIBhw4bxzTff5DnbihUrMDMzw8LCgjJlyuDi4sLly5fz/PUvCgkJ0b7Dke3TT/0YOnTE3x4zNx98YIhRhhpiEF2GCVYwTDWbqeYCKFnSMOOULm2YcbJVMuDBpqGZ2oFhNgM9BxYGGUWX4Y6brAw1UBZDHWiePWuYcXLauNHwYxqZTNjzRybsCkpPT6dIkSJ06NCBn376CWdnZ3799VdcXFx4%2B%2B23cXFxoXnz5nTq1AknJyfatGmDh4cHxYsX1xvr7t271KxZU2dbjRo1OHDggPbz6tWr6%2ByvXLkysbGxemM9fvyYL7/8krCwMO2BQc7V8twMHz5cO8HOyMigTJky2ok/QHR0NI8ePaJBgwbar9FoNFhYZP058PHxYdiwYbRu3ZrWrVvTqVMnWrVqpXc/MTExVKlSRft54cKFqfQGf8wvX77MwoULuX79OmlpaWRkZNCkSZM8f/2LevfuTbt27XS2bdtWjhUr/vaQOsqWzZrf/fADPHyYv7GGYqBQYNhghmaq2Qydq3fv/I%2BRzdw8a7IeHw9/lqnlS0JC/seArJldpUpw/z685ndQnlgYcPpZqFDWc/rwIaSn5388Q66wly4NT54YJJe6VDkDhMqiUmU9pWlpoNHkfzyLzJT8DwJZwSwtITXVMMFcXPI/RjY7u6zJet%2B%2BEBGR//EK4mBCGIVM2BVy%2B/Ztnj9/To0aNShRogT%2B/v5Mnz5dZ0Xc0tKSNWvWcOnSJfbv38/XX3/NunXr%2BPHHH3Md88UVaY1GozPRznjhD7FGo8l1FXvMmDFYWloSGhpKxYoVOXjwoHal/GWCg4O1E%2ByQkBCWLFmCh4eHdr%2BlpSW1a9dm%2B/btuX69vb09%2B/bt4/Dhw%2Bzfvx8/Pz%2B8vLwICAjQuZ1ardb7WvNX/KHLzHFI/%2BzZM3x9fenTpw9r1qyhePHizJ07l0uXLr3ye3uV8uXLU768bvnLpk1Z8wtDevjQEGMaOBQYKljBMNVshspliEniizIyDDOuoVujpqUZZkxD1ndkS083zMGEISaKOaWnG%2BS5NHSs7DENMq6hwxkq2Llz%2BR/jRRERBTOuEckKe/7ISacK%2Beqrr3jnnXd45513cHZ2plixYmzevJnr16/Tvn17IGsFPj4%2Bnvr16%2BPv78/27dt58uQJJ0%2Be1BvP1taWmzdv6myLiorSWY2Ojo7W2X/v3j0qVqyoN1Z4eDheXl7afW9aMuLl5YWtrS2zZ8/WyRcdHa1TyvPkyRPtCZ/x8fEUKlSIjh07MmfOHKZPn86WLVv0xi5fvjz3c0x21Gq1zvdlYWFBSspfqy537tzRfnzz5k2SkpLw9vbWvktx5cqVN/rehBBCCPHmpEtM/siE3chiYmKYNGkS%2B/btY%2BbMmUBWV5Vu3bqxaNEi2rdvT9GiRQFYu3YtAwYM4MGDBwBcu3aNtLQ0bG1tsbLKqt27ceMGiYmJtG/fnjt37hASEkJaWhrh4eH8%2BOOPeHp6au/73r17bNmyBbVaze7du7l27Rpt2rTRy2htbU14eDhqtZqDBw9y6tQpbXaAhQsX6nW2yUmlUvHFF1%2Bwc%2BdOjhw5AkCLFi0oU6YMc%2BfOJTExkbi4OEaOHKnt6OLl5cWyZctITU1FrVYTERFB1apV9cZu0aIFx44dIzw8nJSUFJYuXaqzil6tWjVOnDjB06dPefz4MRtz1P1VrlwZMzMzzp07R1JSEmvWrCEhIYG4uDi9dx%2BEEEIIIUyFTNiNYMaMGTRo0ID69evTvXt3nj9/zubNm7G3t9fexsPDg8TERLp3767dNmjQIOzt7fHw8KBhw4ZMnDiRqVOnUrduXcqWLUvHjh0ZO3YsQUFBWFtbs3TpUkJCQmjevDmff/45/v7%2BOmUprVq1Ijw8HGdnZ6ZOncq0adN455139PJOmTKF3bt34%2BjoyLZt2wgKCqJevXp06dKFJ0%2BeEBcXp528v8w777zDwIEDmTp1KklJSRQuXJjg4GBu3ryJq6srHh4eVKtWjfHjxwMQFBTEyZMncXJywtXVlRs3bui0Z8zWpUsXPv74Y4YOHUrr1q2xsLCgUaNG2v3e3t6UKFGC1q1b079/f/r375h5UsQAACAASURBVK/dV6FCBcaMGcOkSZNo3749KSkpzJ07l/j4eD7%2B%2BOM8PJNCCCGE%2BDtkhT1/VBpNQVSoiTd18uRJJk2axN69e7XtHQ1pwoQJpKamsnjxYoOPLXRNnWq4sSpVgqFDYcWK/Jc9T8dEgxmaqWYzdC4/v/yPkc3AJyry9Gn%2Bx4CsEwFtbeHOHcPUsFsZsKtI4cJQsSI8eGCYGnZDtYcsVAjKlYO4OIM8l6llDNehR6XKOu9XrTZMqbhlZnL%2BB4GsYFZWkJJimGB/vktuEA4OWSeKNm5smBp2Bad8hm4eBVm/sv4t5KRTExAbG8usWbPw9vYukMm6EEIIIYSS/m0r4oYms0OFrVy5ks6dO9OsWTP69OmjdBwhhBBCCIOTkpj8kRV2hfn6%2Br62ZaIhvOokUSGEEEIIYbpkwi6EEEIIIQrUv21F3NCkJEYIIYQQQggTJivsQgghhBCiQMkKe/7IhF0IIYQQQhQombDnj5TECCGEEEIIYcJkwi6EEEIIIQrUP7Gt48WLF3nvvffw8vJ67W3Xr19Pp06daNKkCX369CE8PFy7LzU1lcDAQFq1aoWTkxMjRozg8ePHb5RFJuxCCCGEEELk8NNPPzFixAiqVq362tvu3buXZcuWMW/ePI4dO0b79u0ZNmwYSUlJACxcuJArV64QEhLC7t27UalUTJw48Y3yyIRdCCGEEEIUqH/aCntqaiohISE0bNjwtbfdvHkz77//Pg0bNsTKykp75fqDBw%2BSkZHB1q1bGT58OJUqVaJUqVKMGjWKQ4cOERMTk%2Bc8MmEXQgghhBAF6p82Ye/VqxcVKlTI020vX77Mu%2B%2B%2Bq/1cpVJhZ2fHxYsXuX37NgkJCdSrV0%2B7v0aNGlhZWXH58uU855EuMUIIIYQQ4h8nNjaWuLg4nW3lypWjfPnyRs3x9OlTSpUqpbOtVKlSPHnyhKdPnwJQsmRJnf0lS5bkyZMneb4PmbALYWDTpxturNjYWL76KoTevXsb4BeQ4YLFxsYS8tVXBsplWKaazVRzQQFkK1cu/2PwQi5bW4OMaSg62apUUTqOlk6uSpXyPZ6lATJli42NJSTEUL/PAIoYYIw/c61ebbhcGk3%2Bx/iT9vn85ReT%2B73xpgz4sGh99VUIS5cu1dnm5%2BfHiBEjXvu127ZtY9KkSbnumzVrFh4eHvnKptFoUKlUf3v/i6QkRggTFhcXx9KlS/VWEJRmqrnAdLOZai4w3WymmgtMN5up5gLTzWaqucC0s5mC3r17s3XrVp1/vXv3ztPXenh4cOXKlVz/velkvXTp0nqr5c%2BePaN06dKUKVMGQG9/fHy8dl9eyAq7EEIIIYT4xylfvrxJvPNQv359Ll%2B%2BjKenJwAZGRlcuXKFDz74gCpVqlCqVCkuX76MtbU1ANevX0etVlO/fv0834essAshhBBCCPEGOnfuTFhYGAB9%2BvRh27ZtnD9/nuTkZJYvX46FhQVt2rTB3NwcLy8vVqxYwf3793ny5AmLFi3ivffeo2zZsnm%2BP1lhF0IIIYQQIodOnTrxxx9/kJGRQWZmJg0aNADgl19%2BwdramqioKJ4/fw5Aq1atGDNmDBMmTCAuLo569eqxatUqrKysAPD39%2Bf58%2Bf07t2b9PR0XFxcmDp16hvlkQm7ECasXLly%2BPn5Uc5AJ/EZiqnmAtPNZqq5wHSzmWouMN1sppoLTDebqeYC0872/93u3btfuf/atWs6n/ft25e%2BffvmelsLCwumTJnClClT/nYelUZTEOftCiGEEEIIIQxBatiFEEIIIYQwYTJhF0IIIYQQwoTJhF0IIYQQQggTJhN2IYQQQgghTJhM2IUQQgghhDBhMmEXQgghhBDChMmEXQghhBBCCBMmE3YhhBBCCCFMmEzYhRBCCCGEMGEyYRdCiALg5OTE6NGj2bRpE9HR0UrHEcLojhw5QmZmptIxhPh/QaXRaDRKhxBC/OXEiRM4Ozvrbc/MzGT58uV8%2BumnCqT6y6NHj7h//z7169dXNEe2xMREfvjhB6KiolCr1Xr7Z8%2BerUAqOH36NL/99hthYWGcP3%2BeUqVK4ezsjLOzM05OTpQtW1aRXKZOo9GgUqmUjiEMwMHBgWLFiuHm5kb37t1p0KCB0pFeae7cucTGxrJw4UKj33duv7texsLCogCTCFMlE3YhTEzTpk2ZPHkynp6e2m1RUVGMGzeOx48fs2/fPkVyPXv2jDFjxnDs2DEKFSrEpUuXiI2Nxdvbm%2BDgYKpUqaJIrqFDhxIeHk6jRo2wsrLS279o0SIFUunKzMzk6tWrnDlzhh9%2B%2BIHIyEiuXr2qdKxcXbx4kZSUFJo1a6bI/bds2ZKuXbvSo0cP7OzsFMnwpubPn09cXBzz5s1T5P6PHj3KvHnzuH37dq4TP6Vea2q1msOHD7Nnzx4OHjxI6dKl6datG927d1fs98WrLFq0iLi4OEUO8u3s7PJ8oGqqvztEwZIJuxAm5tKlS3z66af07NkTf39/vvnmGxYtWkTXrl2ZMGECxYsXVyTXyJEjsbCwYMyYMXTq1Inw8HDS09NZuHAhN2/eZOXKlYrkcnBwYMeOHVhbWyty/6%2BSmprKhQsXtCvtly5dwsbGhsaNGzN58mSl4%2BXKzc2NW7duKTYp2LZtG3v27OHYsWPY2NjQvXt3unbtSuXKlRXJkxfz588nNjaW%2BfPnK3L/bdu2xcXFhTZt2uR60NqyZUsFUunKyMjg1KlT7Nq1i19%2B%2BYWaNWvi5eVF165dZcWYrHfk8qp58%2BYFmESYKpmwC2GCYmJi8PPz49GjR6Snp/Pll1/SunVrRTM1adKEw4cPU6xYMRo2bMiFCxcASElJoXXr1pw6dUqRXJ07d%2BaHH35Q7EDmZby8vIiLi6NOnTo0btyYRo0aYW9vn%2BuEypSkpaWh0WgUn0QlJydz6NAh9u7dy6FDh6hTpw49evTAzc1NsefaVMt1mjVrxokTJyhUqJDSUV7q/v377Nixg127dhEZGUmbNm14/Pgx9%2B7d46uvvqJevXpGzfPw4UNu3bpFSkqKznaVSoWrq6tRs%2BRVZmYm/fr149tvv1U6ilCA6f50C/Ev8uLb2KVLl2bdunVMmjSJ1NRUnJyctLdRaiJVpEiRXE8ge/bsGRkZGUbNkvPxmjJlCnPmzMHb2zvXVXalHi9LS0syMjJQq9Wo1WoyMjL4J6yPFC5cmICAAGbMmKFojiJFitC5c2eaNGmCnZ0dK1as4MKFC8ydO5c%2Bffrg5%2BeHpaWlUTO1atXKJMt1PDw82LFjBx4eHkpH0fHs2TN%2B%2BeUXtm/fztmzZ2nUqBG9e/fG3d2dEiVKALBx40YmTJjA9u3bjZZr9erVLF68ONffZyqVSvGSk6SkJFatWsXly5d1ftc9fPiQ%2BPh4BZMJJckKuxAm4GX1i9k/niqVSru6p9Qfk7Fjx6JWqxk9ejQeHh4cOXKEiIgIFixYgK2tLQsWLDBalhcfr1etfCr5xzctLY2LFy8SFhbGmTNnCA8Px8bGhqZNmzJx4kTFcmULDQ3VmxTExMRw5swZwsLCFMuVmJjI7t272b59O2fOnKFBgwb06NGDLl268PTpU6ZNm0aZMmWM%2BpoD0y3XiYqKYvDgwRQuXJgKFSro/Sx88803iuSqX78%2BlStXplu3bnh4eLy0bt3e3p7w8HCj5XJ2dubzzz/H3d3dJN/xGjt2LNeuXcPV1ZX//e9/9O/fnytXrpCQkMC8efOoWbOm0hGFAmTCLoQJ%2BCfULz579ozx48dz8OBBIOsgQqVS4e7uTmBgIKVKlTJaln/C45VTRkYGV65cISwsjO%2B//547d%2B4ovoo3e/Zstm3bRsOGDTl27BgtW7bk%2BvXrvPXWW4wePVqxumd/f38OHTpE2bJl6d69Ox4eHlStWlXnNvHx8bRu3Zpz584pktHUynW6deuGubk5zZs3z/Vdh88%2B%2B8zomQCCg4MZPny43vbU1FT279%2BPm5ubAqnA0dGR48ePY25ursj9v46TkxO7du2idOnSOgcza9euJTU1NdfHVPz/JxN2IUxYbh0flK4tfvz4MdHR0VhaWmJjY2NyteOm4tChQ5w9e5azZ89y6dIlypYti5OTE82bN8fJyYly5copmq9FixZ89913VKlSRTspSE9PZ/bs2TRo0ECx8orJkyfj4eHx2i41O3bsoGvXrkZKlbu4uDhCQ0NZsWIFqampWFpaKlKu4%2BDgwLFjxyhatKjR7jMvcp7rktO9e/dwd3fPdZ8xzJkzh7p169KjRw9F7v91ch5QNGnShCNHjlC0aFGeP39Ohw4dOH78uNIRhQJkwi6EiTl%2B/DizZs3i1q1budaGK7Uy6%2Bbmxq5duxS571dp167dS8thzMzMqFChAq1bt2bgwIEULlzYaLnatGmDo6Mjjo6OODk5KV428aKmTZtqy14cHBw4deoUFhYWPHnyhJ49e7J//36jZYmKisrzbatXr16ASV7PFMt1RowYwZAhQ0ymz/n69etZs2YNjx494u2339bbn5iYiLW1NTt37lQgHcyYMYOff/4Za2trbGxsMDPTvYakEn3Yc/Lx8aFChQpMmTKFgQMH0qxZMwYNGsT58%2BeZMGGCYif4C2XJSadCmJgpU6bg6OjI559/TpEiRZSOo1WuXDkOHTqkeLeaF3l7e7N8%2BXKaNWtG3bp1UalUREREEBYWxoABA0hKSuL777/n0aNHTJgwwWi5Dh48SHp6OuHh4Zw7d47Tp09ja2uLg4ODSXQaqVWrFitXrsTb2xtbW1tCQ0Pp1asXjx494tmzZ0bN4ubmpnOeBqBzgq4pnMMB%2BuU606dP1ynXKVmyJEFBQUb/GXn33XcZOXIkjRs3pmLFinoT0DFjxhg1T//%2B/WnSpAl9%2BvTJtRzH0tIy14vDGUtSUpLJ/R7LacqUKQQGBqLRaBgzZgxDhw5l9erVmJmZGf25FKZDVtiFMDEODg6cOXPG5Fq0BQQEsH//fqytralUqZLearVSq1LDhw/Hy8uLNm3a6Gw/ePAgO3fuZP78%2Bdy%2BfZsBAwZo6%2B%2BNISIigqFDhxIXF8fbb7%2BNRqPh8ePH2NjYsH79eipVqmS0LLk5f/48I0eOZOfOnRw%2BfJjPP/%2BcEiVKkJiYyAcffMC0adOMluXevXt5vq2S/fZNtVynX79%2BL92nUqkUO%2Bk0PDwce3t7Re77/5P4%2BHhu3rxJpUqVqFChgtJxhEJkwi6EifH19WXEiBHUr19f6Sg6XtfVRImrA0LWAc7Jkyf1aobVajUuLi6EhYWRnp6Oo6Mjv/32m9FyDRw4kOrVqzNmzBhtC7v4%2BHgWLFhAXFwcy5cvN1qWl8m5oh0REcGVK1ewtrbG0dHRqDnS0tK0B4Cvu0S70udwbN68mXfffVfbN3zv3r08fPiQDz/8UNFcpmLChAnMmTMHeP3JrkqWnmRfgfWPP/4gLS0NW1tbPDw8aNq0qWKZsr2uREzpsjChDNNawhNC0KFDB8aNG0fbtm1zra/s3bu3IrmUmpC/ToUKFVi8eDHDhw%2BnZMmSADx//pxVq1ZRrlw5NBoNS5YsoU6dOkbNdfXqVVauXKlzIFGyZEkmTJhAu3btjJolN76%2BvjpXp7Wzs8POzo7ExEQ%2B/PBDvv/%2Be6Nladq0qfYERHt7%2B1eWDClZErN48WJ27NjB4sWLtduKFy/OvHnziImJYeTIkYplu3HjBvv27dNOQKtWrUqXLl1e2kqxoOR8503pg6uX2bBhA/PmzaNt27bahZHs1pgLFy7kvffeUzRfzhKxbDl/JpTuMCWUISvsQpiYV03mVCoV%2B/btM2IaXaa4KhUeHs6IESOIi4ujePHimJubEx8fT4kSJVi4cCHOzs507tyZoKAg3n33XaPlatu2LRs3btQrfYmJiaFXr14cPnzYaFlyioiI4OrVqwQGBuZ6caTIyEg2bNjA%2BfPnjZYpLCxM%2Bxp6XctOJdt0tmzZkk2bNuk9p/fv36d3796KPac///wzY8eOxc7Ojho1aqDRaIiKiuL3339n3bp1JrFqbEq6devGxIkTcXFx0dl%2B9OhR5s%2BfT2hoqELJsrxYIpaZmcnt27f57rvvGDBggEm0qhXGJxN2If5Bnj59yltvvaXIfedclcp%2BSzYqKoqDBw8qviqVmZnJ%2BfPniY2NRaPRULZsWRo2bKjoCt%2BMGTP47bff8PX1pUaNGqhUKiIjI1m1ahV169Zl5syZiuQ6duwYa9as4cSJE5QtW1Zvv6WlJb1792bIkCEKpDNtjRs35ujRo3rtE589e0abNm0U6wv//vvvM2DAAL02hdu2bWPjxo1s2rRJkVx//PEH8%2BbNIygoCIBZs2axZcsWqlatyoIFC6hRo4YiuZo0acLp06f1%2BrBnZGTQvHlzo5bOvYnHjx8zYMAAo14VVpgOKYkR4h8iNjaWrl27vtFFgwxp06ZNrFy58qWrUsacsOdW85xbzb9arVZs0j5u3DgWLlxIYGAgCQkJAJQqVQo3NzfGjx%2BvSCYAV1dXXF1d8fb2Zu3atYrleJmjR48yb948bt%2B%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%2B2BTvYFp0yt33lSUhLTp083ubamAGXKlCE4OJinT59y9%2B5dVCoVNjY2lCpVStFc/fv3Z8iQIXTr1o2aNWtqy6%2B2b9%2BOr6%2BvYrnMzMzIzMwkMzOTQ4cOMXXqVO2%2BFxcjjKlDhw788MMPbN26ldu3bwNZnVeGDx9Ow4YNFcuVLbfSKktLSxwdHfH29lYgkTAFssIuhIlp2rQpJ06coHDhwtpLxkPWpe5DQ0NzXX0xBlNflTIFdnZ2ebqdUhPiW7duUa1aNSDruXsVpeqLZ86cSb169Uz29fTw4UNu3bpFSkqK3j4lDsKy7du3j61bt2pLJmxtbXFzc8Pd3V2xTMOHDycjIwNzc3PCw8PZv38/5ubmLFu2jJMnT8pKsRBvQCbsQpiYFi1asGvXLkqUKIGTkxM//fQT5cuXJy0tDScnJ0VPiIqIiMh1UqDkqtSZM2eYMWMGUVFRua7amUJJjCm7cuUKsbGxqFQqKlSokOeDjoKS3V6vcOHCVKhQQa/cScl3VFavXs3ixYvJzMzU22cq5Vem5OHDhwQFBREfH4%2BPjw/29vYkJCTg5eVFUFCQUVutmnp/%2BKVLl%2Bb5tn5%2BfgWYRJgq03vPUYh/uTZt2vDRRx%2BxceNGmjRpwsSJE/Hy8uLChQuKdYjJ9s477zB69GiKFCkCwJMnT7QXBVJKYGAg9vb2jBgxQu/iSeLlwsPD8fPzIzY2FktLSzQaDWq1msqVK7Ns2TLq1q2rSC5/f39KlSpF8%2BbNTe75XLduHTNmzMDd3T3X%2Bnpjet2FzHJS6hoKZcuW1TvptUSJEuzatcvoWUy9P/yRI0d0Pr9%2B/TqFChWiUqVKmJubEx0dTWZmJg4ODgolFEqTFXYhTIxarWb16tX4%2Bvry6NEjRo8ezcWLF7GxsSEwMFCvS4uxREREMHz4cMaNG0fnzp2BrBXHjRs3snLlSt555x1Fcjk4OHDq1CmT/COcm48%2B%2Bojbt2%2B/Ub17QejUqROtW7dm6NChlClTBoC4uDhWrFjB8ePHFZlUQdbzeezYMb3WiabA0dGR48eP6514rYQxY8ZoP86uEbe2tqZKlSqYm5sTGRlJTEwMbm5uirUQVavV/Oc//2HPnj08ePCAtLQ0bGxs8PT0xNfXV%2B%2BicMZy%2BvTpXHuZp6amsn//ftzc3BRI9Zfly5eTnp7OsGHDtOdyqNVqli5diqWlJZ9%2B%2Bqmi%2BYQyZMIuhMiTPn360Lp1awYNGqRd%2BUxLS2P9%2BvUcOHBAsXpUPz8/hg0bpr1UvKnbu3cvCQkJeHp6KpqjYcOGnDlzRu9AJyUlBUdHR%2B3JqcY2YsQIhgwZQoMGDRS5/1eZM2cOdevW1et3rrQvv/wSOzs7evXqpbP922%2B/5ffff9c52dOYpk2bxokTJ%2BjXr5/2gk43b95kw4YN9OjRQ7GJZ84uUzndu3cPd3d3xV772VxcXDh48KDez2Zqaipt2rThxIkTCiUTSpKSGCFMSGJiImfPngXAyclJ7xf2t99%2By0cffaRENCIiIvjf//6ns7pYuHBhBg0aRHBwsFGzhISEaD92cHDg888/p3379lhbW%2BvVPPfu3duo2bI9ePCAihUr6m3v0KGDAmn0NWzYkN9//13v6q83b95U9JyEd999l5EjR9K4cWMqVqyotwqbc2XZ2NLT05k7dy7/%2B9//sLGx0cumRO0zwE8//ZRriUyvXr1wcXFRbMJ%2B5MgR1q1bR9WqVbXbXF1dadGiBUOGDDH6hH39%2BvWsWbMGtVqd6wnCiYmJ2NjYGDVTbszMzLh8%2BbJe%2Bcu1a9cUe1dCKE8m7EKYiKtXr%2BLj40NCQgKZmZmUKVOGDRs2ULVqVaKiopg8eTKRkZGKTdjLlSvH2bNnadasmc72Y8eOaUsqjGXlypV623bu3Km3TaVSKTZhd3NzIywszCTKJ3LTsWNH/P396dixI9WrVycjI4M7d%2B7w66%2B/4uXlxbZt27S3NWbHluPHj2NtbU1MTAwxMTE6%2B3Lrt29MSUlJtG7dWtEMuSlRogQHDx7UOxg8ceKEYr3hARISErR9/3OysbHh6dOnRs/Tv39/mjRpQp8%2BfXI98dTS0hJnZ2ej53pRnz59GDRoEC1bttS2zL1//z5Hjx6lX79%2BCqcTSpGSGCFMhI%2BPD7Vq1eLzzz8nIyODGTNm8PjxY%2BrXr09wcDDvvfceEydOzPVy8sYQGhrKtGnTcHV11bnK4%2BnTp1mwYAEdO3ZUJJepmjt3LkWKFMHb25tixYopHUfPm7QgVLrePtv169cVO1fidQ4fPkyrVq0Uue9NmzYxdepU6tatq53g/fHHH0RERDBx4kTFJnkDBgygUaNG%2BPn5aU/6TE9PZ9myZZw%2BfZpvv/1WkVzh4eHY29srct95dfToUfbu3aut/S9fvjwtWrTI9Yq24t9BJuxCmAgnJyf27t2rXRF7%2BvQpTk5O2NraMmXKFEV7PGe7dOkSoaGhREdHA1ltHd9//33FWwGaom7duhEbG0tiYiIlSpTQuxCQqUyCc3Pz5k3F%2BrBne/jwIWq1Wvt5TEwM3t7e2pIxpSQmJhIZGamXLTAwMNcL3hjLzZs32bdvHzExMajVau0Er1GjRoplunHjBt7e3qSkpGBjY4NKpeLu3buYm5uzcuVKxc5TSE5OZsmSJRw4cEDb0rRixYq0a9dOuk0JkyUlMUKYiOTkZJ23r9966y0sLCzYsWOHyXRAqV%2B/PvXr11c6Rp4o3Y1l8ODBitzvm0pISNCbfPbr10%2Bxfv9nz55l1KhRxMXF6e1TagU72759%2Bxg7dizJyck6V4ktUqSI4iei1qhRgxo1avDkyRNKly6taJZstWvXZu/evRw%2BfFjn2g1OTk6KdgEaO3Yst27d4uOPP6Zy5cpoNBru3r3Lpk2buHPnDv/5z3%2BMnsnU%2B8QL5cmEXQgTplKpTGKyvmrVKpo3b65drdu%2BfTvz5s3j%2BfPnuLu7ExgYaBI5cxo0aBAJCQmK3b/SXWBeJzw8nDFjxnDv3j29fU5OTgokyjJz5kw8PT1xc3OjV69e/Pjjj1y6dIlff/2VL774QrFcAIsWLWLixIm4u7vj4uLCqVOnuHz5Mhs2bGDAgAGK5UpNTWXmzJn89NNPpKenc%2BnSJZ4%2Bfcr48eOZPXu20c8xyRYYGMiXX35pMidaZzt27Bi//vor5cuX19neuXNnOnXqpEgmU%2B8TL0yARghhEuzt7fO0zdiWL1%2BucXV11Zw9e1aj0Wg09%2B7d09SrV08TGBio2b17t6Znz56axYsXK5bv/v37it33q2RmZmpWrlypcXNz0zRt2lSj0Wg0iYmJmunTp2tSUlIUTqfR9OrVSzNnzhzNhQsXNPXr19dcunRJExISohkyZIjm0aNHiuVycHDQZGZmajQajaZBgwba7b/99ptm8ODBSsXSaDQaTaNGjbQf5/zZvHbtmqZ3795KRNJoNBpNYGCgZuDAgZozZ85oH7PExETNmDFjNKNHj1YsV4cOHTR37txR7P5fpn379pqEhAS97c%2BePdO0b99egURCvJ6ssAthItRqNR9%2B%2BOFrt33//ffGjEVoaChBQUHaFmM7d%2B6kYsWK2tXOqlWr4u/vz6hRo4yaK5updmMJCgri4MGD%2BPr6EhgYCGT1rY%2BMjGT27NlMmzZN0XyRkZF8//33mJmZoVKpqFevHvXq1aN69epMnDgx1048xlCyZEliY2OpUKECJUqUIDo6mipVqtCgQQPF69fLli3LjRs3qF27Nm%2B99RYRERHY2dlha2vLtWvXFMu1e/dudu3aRZkyZbSddIoVK8bUqVMVWzEG6NmzJ8OHD6dVq1ZUrlxZ7zwOpTo4BQQEEBgYiI%2BPD9WqVSMzM5M7d%2B6wbt06xo4dq1MipsRq9x9//MG8efMICgoCYNasWWzZsoWqVauyYMECxc8vEcqQCbsQJiK3usWtlAAAIABJREFUnsSmcKJpTEwMTZo00X5%2B4sQJndZ277zzDg8ePFAiGgAffvghy5YtM7luLJs3b2bz5s1YW1szZcoUIOu8hAULFuDp6an4hL148eI8evSIcuXKUbx4ce7du4e1tTWNGjXizJkziuXq2rUrPXv2ZNeuXbRo0YIRI0bQvXt3Ll68iLW1tWK5IOu8iA8%2B%2BIAjR47QsWNHhg4dSvv27YmIiFC0e41Kpcr1tZ%2BRkUFqaqoCibJs2rQJINer5irZctXPz4/09HR%2B%2BeUXne0ajYaff/5ZZ9vVq1eNGQ3IKiWqXr06kNXLPiQkhOnTp3P16lVmzpzJ2rVrjZ5JKE8m7EKYCD8/P6Uj5Kpw4cKo1WosLS1JS0vj/PnzeHl5afer1Wqd%2BktjO3r0KLGxsaxcudKkurGkpaXleuGkIkWKkJSUpEAiXW5ubnh5ebF9%2B3ZcXFwYOXIknp6ehIeHU6FCBcVyjR07llq1alGsWDECAwOZPn06mzZtwtramvnz5yuWC2DgwIHUr1%2BfkiVLMn78eIoVK8bFixepWbMmw4YNUyyXg4MDc%2BfO5fPPP9duu3fvHjNnzqR58%2BaK5dq/f79i9/0qa9euVbyn/6uEh4ezfPlyIOvdE3d3dzw8PHB3d6dly5YKpxNKkQm7EP8Q9%2B7dQ61Wa1dejKV27drs27cPd3d3QkNDSU9Px9XVVbv/1KlTVKlSxaiZcjLVbiz16tVjzZo1%2BPr6arclJyezYMECk%2Bi0M27cOGrUqEHRokWZMmUKAQEBrF27Fmtra%2BbOnWv0PO3bt2ffvn3AXxdq%2BuyzzxQrzcnNtm3btNkKFSqkLQNLTk7m%2B%2B%2B/Z9CgQYrkCgwMZNiwYTRr1oz09HSaNGnC8%2BfPcXBwULyjSEpKCgcOHCAmJoaBAwcCL78KsLE4Ojoqdt95YWZmRmZmJpmZmRw6dEjnSrVpaWkKJhNKkj7sQvxDuLm5cevWLaO/RXvgwAFGjRpFlSpViIqKwsfHh9GjRwNw8OBBAgIC8PX1lSvwvSAiIgIfHx8AHj16RO3atYmOjqZMmTIEBwdTp04dhROaFnt7e8LDw3W2NWzYkAsXLiiU6C%2BZmZmkp6fTrFkzwsLCePHP5vXr1%2Bnbt69efmO7ePEi0dHRWFpaYmtrS%2B3atRXNExERwYABAyhZsiT379/n0qVL3Lt3j65du7Js2TJcXFwUyfW6UkOlr5EwfPhwMjIyMDc3Jzw8nP3792Nubs6yZcs4efIkGzduVDSfUIZM2IX4h4iJiSE9PV2ROt5z585x5swZatSoodOibe3atTx//pwRI0YYPVM2jUbD6tWr2bZtG3FxcZw5c4akpCQWLlzI%2BPHjFb0ISnJyMocOHeLOnTtYWVlha2tLixYt9Mp2jO3nn38mISFBr4b4s88%2Bo0ePHor0O89tcm4qE/b169e/9l2HRo0a8d133xkpUe7Cw8N58OCB9qrDqampir7%2Bvby86NGjBx999JHOAdnPP//M2rVr2bJliyK5fvzxR53PMzIyuHPnDvv378fHx0f7LopSHj58SFBQEPHx8fj4%2BGBvb09CQgJeXl4EBQXJwf6/lYIdaoQQefT06VOlI5isRYsWabp3767Ztm2btqXdkydPNP3799dMnTpVsVzHjx/PdXtGRoZm6dKlRk7zl0OHDmnq16%2Bv2bRpk96%2BDRs2aBwcHDQXLlwwei5TbWua7dGjR5p69eppTp06pffvwoULGrVarVi2e/fuaTp37qyxt7fX1K9fX6PRaDR3797VODs7ay5fvqxYroYNG2rS0tI0Go3uc5mRkaHTItNUXLlyRfHWoUK8jJnSBwxCCF1Xr16lV69eQNbq8aeffoqjoyPOzs6KXvr8Ze7du0dUVJRi979582aCg4Pp0aOH9kSy7G4se/fuVSzXiBEj9FbyoqKi6N27N1u3blUoFaxbt45x48ZpX2M5ffzxx/j7%2BxMcHKxAMtNWpkwZDh06RJ06dahduzbNmzenefPmVKpUCRsbG0VPvA4ICKB9%2B/acOXNG%2BzNgbW3NkCFDmD17tmK5ypUrxx9//KG3/eLFizpXdTYVtWvXVrx1KGT93l%2B1ahVdunShWbNmACQlJfHFF18o2vVHKEsm7EKYmC%2B%2B%2BEL7lvbu3bs5ffo0GzZsYMiQIcybN0/hdPp8fHxwd3dX7P5NtRvL%2BvXrCQoK0l7m/JtvvsHT05M6deoQGhqqWK6IiIhXvuXfs2dPLl68aMREWTIyMti0aRMhISHaf7ltU9KNGzdo164dp0%2Bf1m47cOAAHTt2VLQV5rlz5/D398fCwkKn%2B8nHH3%2BsSFvCbN26deOTTz4hJCSEzMxM9u7dy9KlSxk6dKhOpyljO3r0qN6/vXv3MnnyZL2rnyohKCiInTt3MmTIEO0EPec1HMS/k9SwC2FimjRpwpkzZzAzM2Ps2LGUKlWKwMBA0tPTcXJyIiwsTOmIOpSsrYesVnvOzs74%2Bvpqa56Tk5OZO3cukZGRbNiwQZFckPXY%2BPn58ejRI9LT0/nyyy91etgrwcHBgbNnz760rV1GRgZNmzY1%2Brs57dq1e%2B1tVCqVtpOMEjw8PBg0aBA9evTQ2b5z507Wrl2r2Dsnbdu2ZdOmTZQrV06n7j8yMpKPPvqIkydPKpJLo9Hw9ddfs3XrVu15HFWqVOHDDz/kgw8%2BUKy1op2dnd42CwsLqlatyqRJk3B2dlYg1V9cXFy013DI%2BXzGxcXh6emp%2BEmxQhnS1lEIE2NhYUFSUhIWFhYcPXqUBQsWAFknkJna8fWzZ88U7dkNMGHCBHx8fNiwYQNqtZru3bvrdGMxppxXSAQoXbo069atY9KkSaSmpuLk5KS9jRJXUASwtbXlzJkzL%2B3PffjwYWxsbIycynR7dud0%2B/Ztunbtqre9Y8eOBAQEKJAoS9u2bfH39%2BfTTz9Fo9Fw9epVIiIiWL58OV26dFEsl0qlYvDgwSbXejUiIkLpCK9kqu8aCmXJhF0IE9OyZUv69%2B%2BPmZkZJUuWxMXFhdTUVGbNmoWDg4Niua5evcqUKVPYvHkzGo0GPz8/9u3bR%2BnSpQkODlYsm52dHXv27DGJbiz29va5rhpmH2g1atQIjUaDSqVSrFTB09OTiRMnsm7dOqpWraqz78qVK9pLtgt9NjY27Nmzh86dO%2Bts37ZtG5UrV1YoFYwfP5558%2BYxcuRI1Go1np6evPXWW/Tu3TvXKygbS0ZGBnv27CEyMjLX2usxY8YokCqrRW5uV181FaZ%2BDQehDCmJEcLEJCcns379euLj4%2Bnbty9VqlQhOTkZPz8/Zs6cqdgFR/r06UO7du345JNP%2BOWXXwgMDCQ4OJhLly7x66%2B/KtbS7sSJE7m%2BhZ2Zmcny5cuNOmHJWdv8OkpdgTIzM5PRo0ezb98%2BXF1dqV69Ounp6fz%2B%2B%2B%2BcPn0aNzc3FixYYNJXglTK0aNHGTFiBNWqVcPa2prMzEyioqK4f/8%2Ba9asoWnTporm02g0PHr0CCsrK5M4qTP7dVanTh2srKx09qlUKr755htFcvXv3x9vb2/Fy9NeRq7hIHIjE3YhTFBmZiZmZmbajyMiIqhUqRKlS5dWLJOp1tY3bdqUyZMn4%2Bnpqd0WFRXFuHHjePz4saI1z8%2BePaNUqVIAJCQkcPLkSapUqZJrDa2xHThwgD179hAdHY1KpaJatWp07NjxtReV%2BbeLiYlh165d2setSpUqdO3albfffluxTI0aNeLs2bPa3xmmonHjxmzatIlatWopHUVHQEAA%2B/fvx9ramkqVKul1%2BFH66rCQtXBz8OBBoqOjTeoaDkI58swLYWJOnDjBuHHjOHLkCGq1mr59%2B3Lp0iUsLCxYsmQJbdu2VSSXqdbWr1%2B/nk8//ZTo6Gj8/f355ptvWLRoEV27dmXChAmK5dq5cydTp04lLCyMxMREPDw8ePLkCWlpaUybNo2ePXsqlg2y6p6Vei39k1WoUIGBAwfy5MkTRQ%2Bgc2rbti2bN2/WuxCW0t566y1Fzod4nYyMDJNdXc9WpEgR3Nzc9LYnJydTpEgRBRIJpckKuxAmxtPTE29vb7p27crWrVtZtGgRmzZtIjw8nFWrVinWiWLcuHHcuHEDMzMzEhIS%2BOWXX0hLS%2BOLL74gJiaGNWvWKJILTLMbi5ubG9OnT6d58%2BZ8%2B%2B23fP3112zfvp2IiAgmT57Mzz//rGi%2Bl7l48SIpKSna/s/iL6mpqcycOZOffvqJ9PR0Ll26xNP/a%2B/e43K%2B//%2BBP96lk4Sxr0MlkzHGJ6JRFFt8olA5TftgH8wks0VDs1mOafkUm2NymDGbw1AW1pBYp01syudTs08xSQenqJbqOvz%2B8HN9XK4rssP1eud63P%2Bq1/u63XrchvW8Xtfz9XyVlSE0NBQRERFo0aKFkFzTp0/HuXPnYGJigjZt2ujsGO/atUtIrri4OPz73/9GSEiIrIrM4uJiYa2Fj6JSqbB582bN/RG%2Bvr6YMGGC5nlKSgoWLlwo9FNDEoc77EQyc%2BnSJc0kihMnTsDPzw%2B2trawtbXF%2B%2B%2B/LyzX4sWLtXrrTUxMoFKpUFxcjPDwcINmaQjTWIqLizV96snJyfD394eVlRWcnZ1RVFQkJFN9zJs3D5cuXRI6v1uuwsPDUVBQgM2bN2smn5iZmaFJkyZYtmwZVq5cKSRX9%2B7dZXkY8dNPP0VhYSF27tyJZ555RudchKjxhN7e3jhz5ozsWohiYmKwe/duBAQEoKamBhs2bIBarYafnx%2BWL1%2BOhIQETJ48WXRMEoQFO5HMWFtbo7S0FBYWFkhJScGmTZsAAGVlZUL7F62srBAYGKjVW3/x4kVERUUZvDWgIUxjad68OfLy8mBlZYWMjAzMnj0bwL1PAx4%2BgCcnBw8elN34ULlITEzEkSNH0KJFC83fP2trayxcuBBDhgwxeJ5Bgwbh%2BPHjmDlzpmYtMDAQGzduNHgWfSZNmiQ6gl4BAQFYs2YNpk6dCmtra9FxNOLj47F27Vr87W9/AwD0798fs2bNwsaNG9GuXTscOHAAnTp1EpySRGHBTiQzPj4%2BGDNmDExNTeHo6AgXFxdUVlZi7ty5Qg8Eyqm3XtR0iScREBCAUaNGQZIkuLq64sUXX0R5eTmCgoJ0xgKKsHXrVr3zsR9up6D/kSRJb4GnVCqFXBl/7do1nTVRlyTp8%2BBBcDlJSUlBaWkpYmNjYWNjo7MRImrnv6SkRFOsA/cuObt16xYWLVqEsWPHCslE8sGCnUhm3nvvPXTv3h3l5eWaS0/MzMzQtm1bzJ07V1iuFStWIDQ0FACQkJCA4uJiJCUlISsrC2vWrDFowf7wSEQ5TmMJDAyEi4sLysvL0a9fPwBA48aNMXToUFnsPG7duhWjR4/W/Hejx3N2dkZkZKTWv8PCwkKEh4cLGdP5qE%2BZ5ECtVmPTpk2Ii4vDtWvXcPr0aVRWViI6OhqhoaGwsLAQkktuFznd9/CfnampKRo1asRinQDw0CmRbN24cQNFRUWy6U11dnbWXFf/9ttvw8HBQVO49OrVC2fPnhWS6%2BFpLH5%2BfsKmsdTW1mp2qB/us3%2BYqN76%2B7Zv346TJ09i2LBhaNu2rc4uIw%2Bd6rp69SqCgoKQl5cHhUIBa2tr/Pbbb3B2dkZ0dDTatm1r0DwPXlv/qDVRVq1aheTkZEyZMgUffvghsrKyUFZWhuDgYHTo0AGLFi0SHVFW5P7nSWJxh51IZm7fvo2QkBCkpqaiUaNGOH/%2BPEpLS/HGG29g/fr1aNeunZBccu2tX7t2LdavXw/gXg%2BoJElITU3VTGMxZMHu4uKi%2BeVaV5/9faIPdS5fvhwAkJqaqvNMZO%2B/nNna2iI%2BPh7Z2dkoKCiAhYUFHBwc2Fdch71792Lv3r2ws7NDWFgYgHtnO6KiojBy5EhhBXtNTQ1Wr16No0ePori4GLW1tbC3t8fIkSO1zukYmlKpRGpqqtZOu0ql0lnjXQnGiQU7kcyEhYWhRYsWOHHihOYgW4sWLeDu7o5ly5YJO1Am1956OU1j2bJli%2BZruffZZ2VliY7QIKlUKigUCpiamkKpVKKqqkpzwNnQlEol9uzZo1XM6VsTNZ%2B9trZW7/hEKysrVFZWCkh0z/Lly5Geno6JEyfC0dERarUa%2Bfn52LFjB1QqlUFvR36QQqHAG2%2B8obP%2B4BrfTBsvFuxEMpOSkoJTp07B2tpaUwQ0atQIwcHBQmeLy7W3Xk7TWB68ml5ET/OTuN%2BS8/PPP6OoqAgvv/wyAO22HtJ25swZvP3227h16xZsbGygVqtRUVGBli1bYv369XBycjJonlatWiEmJuaRa5IkCSvYu3Xrhs2bNyMwMFCzVlVVhaioKKGtft999x22bt2K9u3ba9b69%2B8Pd3d3TJs2TVjBnpubK%2BTnUsPAgp1IZqysrKBSqXTWb9%2B%2BDaVSKSDRPSYmJvD19cWNGzdw5coVNG/eHObm5liyZImwTIB8p7GcPn0ay5Ytw8WLF1FbW6vzXPQuWUlJCaZNm4a8vDwAwPnz53H16lWMGzcOmzdvxgsvvCA0nxzNnz8fo0aNQmBgIGxsbADc%2B3cZExODuXPnIjEx0aB5kpKSDPrzntR7772HqVOnYseOHaipqYGvry8KCgrwzDPPYMOGDcJylZeX6z1vYG9vj7KyMgGJiB6Ph06JZGbOnDmoqanB7Nmz4e/vj%2B%2B%2B%2Bw65ubmIioqCg4MDoqKihOSSa289cG/n8/40FnNzcyiVSmzZsgWTJk0Sdrhz6NChcHJygpeXl95pGB4eHgJS/c/UqVPh6OiI2bNno2/fvpoWmdjYWKSmpuKzzz4Tmk%2BOevTogdOnT%2Bv8naqurkafPn14OFCPqqoqnDx5EpcvX4aVlRUcHBzQv39/oede/vnPf6Jnz56YOXOm5tMkhUKBdevW4YcffsDOnTuFZXuUyMhIlJaWIjo6WnQUEoAFO5HM3L59G6GhoUhOTgZw7yNtSZLg4%2BODDz/8UNgYvuDgYJibmyMkJARDhgxBVlYWFAoFoqOjkZ%2Bfb9De%2BoYwjcXZ2Rnff/%2B98GkwdXF2dkZGRgYsLCy0JlHU1tbCzc0NmZmZghPKz5QpUzBr1iyd1pfs7GysWrUKW7duFZRMfrKzs2FmZqYZrerl5aX5hLBnz55Ci85ffvkFb7zxBu7evQt7e3tIkoQrV67A1NQUGzdu1JqFLicrV67EtWvXEBERIToKCcCWGCKZadasGWJiYnDz5k3NJAp7e3s0adJEaC459dY3hGks/fv3xy%2B//IJu3boJ%2BfmP06xZM1RWVurs/l%2B9ehWmpqaCUsnbgAEDEBwcDE9PT3To0AFKpRIFBQVISkrCmDFjsHv3bs1rRfWNy8H58%2BcxceJEvPvuu5qCvaioCEuWLIFSqcSqVavwzTffCGtZ69SpE44dO4ZTp07hypUrAAAHBwe4urqicePGQjLVR0hICG7fvi06BgnCgp1Ihq5fv45Lly7h7t27KC8vx/Xr1zXPRE1kkVNvvVynsTxYsDk7O2Pu3LkYNGgQ7OzsdN5UiC7o7hef77zzDtRqNfLy8vDzzz9jzZo1sriJVY62b98OSZJw4sQJnDhxQuvZV199pfla5EFPOdi4cSPGjBmDiRMnatZMTEw0N5%2Bq1Wrs27dP2N%2BzsrIyNG/eHIMHD9as/frrr7Iu1oF7505GjBiBH374QXQUEoAtMUQys2nTJqxatUpvcSxypJdce%2BvlxNPTE8C9P6dH/a9VkiQcP37cULH0qqqqQnh4OL7%2B%2BmtUV1cDuHcT67hx4xAcHGzwCTv09BgwYAB27doFW1tbzZqTk5PmnMTt27fh7e2NtLQ0g%2BaqqanBtGnTYG9vj2XLlmk9GzZsGDp16oRVq1YJGdH5oLy8PCxYsAD//ve/dQ6sd%2B3aFfv37xeUjERiwU4kM25ubpg7dy58fHxkVTTJtbdebtNY7o%2BH8/DwQP/%2B/fHMM88Y9Oc/qdraWpSWlsLS0hItW7YUHUfWli9fjpCQEJ1/l1evXkVYWBg2b94sKJm89OzZEz/99JPWWmZmptbYUxE3eH7yySdISkpCbGwsWrdurfXsxo0bmDRpEsaOHYvXX3/doLkeNnHiRNja2sLLywvBwcFYt24dzp8/jx9%2B%2BAGffPIJmjdvLjQficGCnUhm%2Bvbti7S0NNn2Ecutt15u01i%2B%2BOILpKen44cffkB5eTm6deuGAQMGwMPDAz169BC%2Be/egixcv4uTJkygpKYEkSWjbti1efvlloRN/5Gz8%2BPGaXmx3d3eo1Wp89tlnWL16NXx8fHR2bY2Vh4cH4uLi6nwDWFhYiNdeew2nTp0yaC5vb28sX74czs7Oep9nZmZiyZIlOHjwoEFzPczFxQXp6ekwMzPT%2BmTi5MmTiI%2BPx8qVK4XmIzFYsBPJzEcffYSuXbvCz89PdBQdD/bWP0xUb71cp7Go1WpkZ2cjPT0daWlp%2BPHHH2FlZQU3NzcMGDAAo0aNEppv7969CAsLg6OjI2xtbaFWq1FYWIhff/0Vy5cvh7%2B/v9B8cvX1118jKioKLi4uKCgogEKhQFhYGHr27Ck6mmy89957sLa2xocffqj3%2BbvvvgsLCwssX77coLmcnZ2RmZlZ52aIUqnESy%2B9hLNnzxo018Pc3d1x5MgR2NjYwNXVFQcPHkSrVq1QW1sLV1dXnDlzRmg%2BEoOHTolkRqFQIDIyEp9//jns7e1hYmKi9VzUODS59tbLdRqLJElwcnKCk5MTAgMDUVVVhf3792P79u1ITEwUXrB//PHHWLlyJby9vbXWExISEBERwYK9DiNGjEB1dTU%2B/PBDNG7cGBs3bmSx/pCgoCCMHj0ad%2B7cwYQJE9CuXTsolUrk5eXh008/RVZWFvbt22fwXObm5qiqqqrzU8Hbt28LnQ9/38svv4zx48fjiy%2B%2BQO/evTF//ny8%2BuqrOHfuHNthjBh32IlkZv78%2BY98LmoGr5x66x%2BcxlJRUYF9%2B/bJchpLcXEx0tLSkJaWhoyMDNTU1OCll16Cm5sbJkyYICwXAPTq1QunT5/W2W3kLl7dLly4gKVLl%2BLGjRtYsmQJCgoKsGLFCnh6emLOnDmyP69gSDk5OVi6dCnOnj2r9W%2ByX79%2BWLBgATp06GDwTDNmzEC3bt3w1ltv6X3%2B0Ucf4dKlS4iJiTFwMm01NTXYtGkTAgMDcePGDcyePRvZ2dmws7NDWFgY%2BvXrJzQficGCnYjqRU699XKexnLs2DFNkV5SUoKePXvCzc0Nrq6u6N69u84nJqKEhYXBxcUFvr6%2BWuuHDh1CRkYGli5dKiiZfPXs2RNTpkzB9OnTNS1YN2/exPLly/Hdd9/h%2B%2B%2B/F5xQfu6feZEkCc899xyaNm0qLEtWVhYmTpyIiRMnYsKECWjTpg2AeyMdt2zZgri4OHz%2B%2Bec6F2MRyQELdiIZ%2BOqrrzBmzBgA2rvHD5MkCa%2B%2B%2BqqhYmmRW2%2B9XKexdOnSBdbW1vD19cXEiRPh6OgoOpJeixYtQkJCAtq3b48OHTpApVLh8uXLuHjxIgYNGqT1xow3K97zyy%2B/oFOnTnqfpaamon///gZORE/q1KlTWLRoEYqKimBpaQmVSoWamhq0a9cOixYtErZ7Xd/fAYD4OxxIDBbsRDIwdOhQfPPNNwD%2Bt3usj8j53cuWLcPhw4dhZ2cni956uU5jyc3NRXp6OlJTU3HmzBm0bNkS/fr10%2Byyy%2BWNRUhISL1fa%2BxTKQ4fPgwfH59HvuaDDz5AeHi4gRLRH6FSqXD%2B/HnNLafPPfccunbtKnSCU0P4HUBisWAnonqRa2%2B9nKex1NbW4syZM0hPT0d6ejpyc3PRsWNHuLm5Yd68ecJy0ZN5eGa4m5sb0tPTH/kaIqI/Ewt2Ihn6%2BeefkZycjNLSUkiShDZt2uCVV15Bx44dRUeTvQensVy%2BfFnY9JqH5efn47vvvsPOnTtRUFAgm1wPy87ORnV1tdYlN8buwVnY%2Br6va40alsjISJSWlgqbxPUg/g6gh4mfX0REWnbu3Illy5aha9eumvnYmZmZWLlyJRYvXoyxY8caLEtD6K0H6p7GMnHiRGGZbt68iYyMDKSmpiItLQ3FxcV4/vnnMWjQIAwYMEBYrseZN28eLl26JNs3FCI83Cqhr3VCThdi0e9jZmYmi/sc5PQ7gOSDO%2BxEMuPm5oalS5di8ODBWuuJiYlYvHgx0tLSDJZFzn2Vcp3GEhUVhbS0NOTm5sLa2hpubm7w8PDAgAEDdK5Dl6Pa2lqo1WpZFC5y8XC7i772F7bEPB3UarXwN19y%2Bh1A8sGCnUhmevfuje%2B//17nAo/a2lq4ubkhMzNTUDJ5kes0llGjRsHDwwMeHh5wdnaWxRhM%2BmNYsD9dhgwZgsTERJ31srIyeHt765xPMDT%2BDiB92BJDJDP%2B/v6Ii4vTtKLcl5CQgBEjRghKdY%2Bc%2Birj4uI001hGjx4tm2ks%2B/fvF/Jz66uqqgpRUVE4evQoTE1N4ePjg1mzZsHMzEx0NNlSKpXYs2ePZub/w9/fXyN5u38wvbCwUO/ko0uXLqGmpkZAMm1y/h1A4nCHnUhm3n//fSQmJsLW1hYdOnSAUqnE5cuXUVhYiIEDB2q1ehjycJS%2BvsrCwkJcuHBBeF8lp7HUX2RkJFJSUvDGG29AoVBg27ZtGDJkCN5%2B%2B23R0WTrUe1gD0pKSvqLk9Af8Z///Af79u3DF198ofdQtaWlJUaNGgVvb28B6f5Hrr8DSCwW7EQy87jxiQ8y5CjFhtJX2VCmsYjy97//HTExMZpPRS5cuIC3335bb4sA0dNo2bJlWLBggegYdZLr7wASiwU7EdWLXPsq65rG4u7ujgEDBsDNzU1ILrl6uNdarVbD2dkZP/30k8BURIaVnZ2NvLw8VFdX6zzjTaIkR%2BxhJ5IZlUqFnTt3anrFAaBNmzbw9PREQECAsAkGcuur1DeNZcaMGQ1mGotcSJIE7tv8MSEhIbh69Sp27dolOgrVQ3h4OHbs2IEWLVrA0tJEPLUDAAAdF0lEQVRS65kkSbIo2L/88kscPXoUV69eRW1tLRwcHDBy5Ej4%2BvqKjkaCsGAnkpmwsDAkJydj%2BPDhGDhwoKZXfO3atbhw4QIWLlwoJFdVVRUiIiLw2Wef6e2rfPfddzWvNURfZVpaGjw8PPD%2B%2B%2B9zGgsJ1bt3b9lMKaLHi4%2BPx6effirbT98%2B/vhj7N69G/7%2B/vD29oZarUZ%2Bfj7Cw8Px22%2B/ISAgQHREEoAtMUQy4%2BzsjH379ukUAP/9738xduxY/Pjjj0Jysa/y6dClSxe0adNGa624uFhnLTk52YCpiAzH3d0dJ06ckO1kpKFDhyIqKgrdu3fXWs/KykJoaCiOHDkiKBmJxB12IpmxsbGBvb29zrqdnR1sbGwEJLqHRfjTYenSpaIjNGjFxcVISEhAcXGx5uBiVlYWnJycBCej%2Bpo0aRK2bt2KwMBA0VH0unbtGrp06aKz/uKLL2raJMn4cIedSGa%2B%2BuorZGdnY/bs2WjevDmAexd6rF69Gl27dhU2PlGuvfVEhpKRkYFp06ahV69eOHPmDLKzs1FUVIThw4djyZIlGDZsmOiIVA8zZszA2bNn0ahRI9ja2urciiz6LMK4ceMwcuRIndaXvXv34ssvv5T9XQ/012DBTiQzXl5eKCkpQU1NDZo2bQqVSoWKigqYmZmhadOmWq9NSUkxWK4FCxZoeusfnMN%2B6NAheHl5Ceutp9/n4MGD%2BOabb3DlyhWYmprC0dERI0aMwMsvvyw6mmyNGDECwcHBGDx4MJycnJCVlQXgXiG/bNkyJCQkCE5I9bF27dpHPp85c6aBkuiXmZmJqVOnws7OTjN%2B9eLFi7h8%2BTLWrFmDAQMGCM1HYrBgJ5KZAwcO1Pu1I0eO/AuTaJNrbz09GZVKhRkzZiAjIwO%2Bvr7o0KEDFAoFcnJykJiYCB8fH/zrX/8SHVOWevbsibNnz8LExERrPKZSqUTv3r05GpP%2BNDdu3EBCQgKuXLkCAHBwcMCgQYNga2srOBmJwh52Ipl5VBE%2Bd%2B5cYcWUXHvr6cns3r0bv/76Kw4ePAgHBwetZxcuXMDUqVOxc%2BdOjB8/XlBC%2BbK1tUVOTg66deumtZ6SkoKWLVsKSkW/x6FDhxAfH4/S0lLExcWhpqYGO3bswJQpU4S3961btw5vvfUW/vnPf2qtV1ZWIjw8HB988IGgZCQSC3YimVGpVNi3bx/Onz%2BPmpoazXppaanmI3gR3nnnHYSHh%2Bvtree19g3HwYMHMX/%2BfJ1iHQA6d%2B6MsLAwrF27lgW7Hv/4xz8wdepUjB07FkqlEtu2bcPPP/%2BMw4cPY968eaLjUT199tln2Lp1K8aNG4eYmBgAwJ07dxAXF4fy8nLMmjVLSK6ysjLcvHkTGzduxLBhw3TuR7hw4QJ2797Ngt1IsSWGSGaWLl2KxMREODs7IykpCYMHD9ZcDhQaGoq%2BffsKySXX3np6Mi4uLjh27JjmTdfDFAoFXFxc2N5Rh8TEROzfvx%2BXL1%2BGpaUl2rVrh4CAAPTr1090NKqngQMHYvPmzejUqZNWa1NBQQFef/11nDhxQkiuffv2ISIiApWVlXVeZubl5YXVq1cbOBnJAXfYiWQmMTERe/bsga2tLZycnPDJJ59ApVJhxYoVuHz5srCCPSgoSMjPpT9XbW1tncU6ADRq1Ig3nz5g06ZNePPNNwEAMTExmD59OoYMGSI4Ff0R5eXl6NSpk856q1atcPPmTQGJ7hk9ejT8/f3Rt29fxMfH6zy3tLRk65URY8FOJDPV1dWag0WmpqaoqamBubk5goKC4OfnJ2yso1x764n%2BShs2bEDnzp3h4OCA9evXY%2BjQoXW%2BoenQoYOB09Hv0blzZ8TFxcHf319rfevWrZqpLKKYmpoiMzMTt2/fRrNmzQDce4ORkZEBBwcHFuxGjAU7kcx07twZa9aswfTp0/Hcc89h7969GD9%2BPIqKilBRUSEsl1x76%2BnJVFdXP3Z044N/vsZu9OjRmD59uub7oUOHaj2XJAlqtRqSJCEnJ8fQ8eh3CA4OxltvvYVdu3ahtrYWQUFBuHDhAm7fvo3169eLjodDhw5h4cKFyMzMREVFBfz9/XHr1i3U1tZi0aJFGD16tOiIJAB72IlkJjs7GyEhIYiLi0NqaipCQkJgbm6O6upq/OMf/xB24EiuvfX0ZPbu3Vuv14n6JEeOysvLcefOHQwdOhTffPNNna%2Bzs7MzYCr6I4qKinDo0CEUFBTA0tISDg4OGDZs2CPbxQzF29sbixcvRp8%2BfbBz5058%2Bumn%2BPrrr5Gbm4sPPvgAhw8fFh2RBGDBTiRz%2Bfn5yMnJgb29PXr06CEsh7u7u1ZvfVZWlqa3vmPHjizw6Kl36dIlPPfcc6Jj0FPO2dlZc6/Fm2%2B%2BiR49emguc3rwGRkXtsQQyYSnp2e95v8eP37cAGl0ybW3np6cWq1GVVUVGjduDACIjY2FSqUCAHTr1g0eHh4i48nKe%2B%2B9h48%2B%2BggAsGbNmke%2BNjo62hCR6A/KycnB6tWr8euvv6K6ulrnuaj/x97XvHlz5OXlwcrKChkZGZg9ezYAoKSkBJaWlkKzkTgs2IlkYtq0aZqv1Wo1wsPDsWDBAoGJtMm1t56eTFVVFaZMmQIvLy9MnjwZALB69Wo4OTlBpVJhw4YNiI%2BP507y/2dmZqb52tzcXGAS%2BrPMnj0bdnZ2ePXVV2VZAAcEBGDUqFGQJAmurq548cUXUV5ejqCgIJ0zFGQ82BJDJFMPzgeWA7n21tOTWblyJU6cOIHY2Fi0bdsWADQtTgAQFhYGSZKwePFikTGJ/jK9evVCRkaGrN%2BAnT17Fnfu3EG/fv1gbm4OpVKJLVu2YPLkyVpvIsl4sGAnkim5FewPk0tvPT0Zb29vLF26FC4uLpq1Bwv2vLw8BAUF4dtvvxUVsUHq1asXzp49KzoG1cOcOXMwevRouLm5iY6i17hx4%2BDr6wtvb2%2B0aNFCdBySCbbEENEjyb23np5MSUmJzhus4cOHa752dHTEtWvXDB2rwVMoFKIjUD3NmTMHEyZMQLt27dC6dWud/79FREQISnaPh4cH9u7di4iICPTv3x%2B%2Bvr4YNGiQLNt3yHBYsBPRI8m9t56ejImJic7a8uXLNV/fvXsXpqamhoz0VKjPm1qSh1mzZqG6uhqNGzeW5Z0DM2fOxMyZM1FQUICjR4/i888/x8KFCzF48GD4%2BvqiX79%2BoiOSACzYiWRi9%2B7dWt8rlUrs2bNH51bFcePGGTIWAgICtL7/6KOPdNao4XjhhRdw4sQJeHl56X2ekJCArl27GjgVkeHk5uYiKSlJ9u0m7dq1w5QpUzBhwgR89dVXWLlyJeLi4mBnZ4c333yT/x82MizYiWRi48aNWt%2B3atUKMTExWmuSJBm8YKeny/jx4xEWFobmzZujT58%2BWs%2BOHTuGiIgIrFixQlA6ebp48eJjX8PjYA2Hk5MTKioqZF%2BwZ2Rk4Ouvv8a3334La2trBAQEwN/fH9evX0dERATy8vJ42N%2BI8NApET0RuR%2BGpcdbuXIlNm3ahI4dO8LBwQFKpRL5%2BfkoKipCcHAw3nzzTdERZaVLly6QJElvUX5/XZIk5OTkCEhHT2rXrl348ssv8fLLL6NNmzY6bWKiN0UiIyNx%2BPBhlJeX4%2B9//zv8/Pzg5uam1XZVWloKHx8fZGZmCkxKhsSCnYieCAv2p8N///tfHD9%2BHAUFBZAkCR06dICXlxfs7e1FR5OdwsLCer3Ozs7uL05CfwZPT886n0mSJPwA/euvv46%2BffvCzs4OjRs3hqOjI55//nmd18XGxmqdMaKnGwt2Inqkh3vrly5dirCwMOG99URET5vvv/8eH3zwAa5cuYKmTZtCoVCgqqoKnTt3Rnh4OLp37y46IgnCgp2IHulRu1H3yWFXiv4c3377Le7cuYMxY8aIjtJgbNu2DTdv3kRISIjoKFRP169fx6VLl3D37l2tdUmS0L9/fyGZ8vLyMHr0aIwaNQpvvfUWWrZsCQD49ddfsWbNGiQlJWHv3r3o2LGjkHwkFgt2IiLSmDhxIgoKCpCcnCw6SoMRGhqKoqIibN%2B%2BXXQUqodNmzZh1apVUKlUOs9EnkWYP38%2Bnn32Wbz77rt6n7///vu4e/cuVq5caeBkJAcs2ImIiMhouLm5Ye7cufDx8ZHVZUSenp749NNP0b59e73PS0pK4O/vj/T0dAMnIzngWEciIiIyGiqVCn5%2BfrK7IOzGjRto165dnc9bt26NyspKAyYiOdG98o6IiIzWv/71L8ybN090jAYlJCSEl9g0ICNHjkRCQoLoGHrpu4n4QbxR13hxh52IiLSwU/LJ9O7dG46OjqJjUD0pFApERkbi888/h729vU6RHB0dLSRXXbdbP/waMk7sYSciMkL3L/shMjbz589/5POIiAgDJdFWn4lcAJCUlPQXJyE5YsFORGSEPDw8MHz4cPj5%2BaFLly6i4zQYOTk5uHjxImpqanSe%2Bfv7C0hET6q4uBht2rQRHYPoibBgJyIyQnFxcTh69ChSU1Nhb28PX19fDB8%2BHLa2tqKjydaKFSuwdetWNGnSRO90kZSUFAGp6Ek5OzvjzJkzj%2B0XJ5ITFuxEREasqqoKJ0%2BexLFjx3Dy5Em88MIL8PPzg7e3N5o0aSI6nqy4uroiMjISAwcOFB2F/oDIyEhYWlpi6tSpsLa2Fh2HqF5YsBMREa5du4b4%2BHjExMSguroaFhYWeO211zBz5kxYWFiIjicL/fv3R3JyMszMzERHoT9gxIgRKC0tRUVFBWxsbNCokfb8DX5SQnLEgp2IyEhVVFQgMTERX3/9NU6fPo2//e1v8PPzw7Bhw1BWVoZFixahRYsWiIqKEh1VFnbu3InKykpMmzZNdBT6Aw4cOPDI5yNHjjRQEqL6Y8FORGSE3nnnHZw8eRLPPvssfH194e/vr3PD4p07dzBw4ED8%2BOOPglKKN27cOK1pOhcvXoS5uTlsbW11puzs2rXL0PGIyEhwDjsRkRGysbHB5s2b8dJLL9X5mqZNm2Lp0qUGTCU/Hh4eWt%2B7u7sLSkJ/FrVajU2bNiEuLg7Xrl3D6dOnUVlZiejoaISGhrIFjGSJO%2BxEREbq5s2buHLlCqqrq3WePaqQN1Y//PAD%2BvTpo7NeXV2NpKQkeHt7C0hFT2rVqlVITk7GlClT8OGHHyIrKwtlZWUIDg5Ghw4dsGjRItERiXSwYCciMkIbN27EmjVroFAodJ5JkoScnBwBqeStR48eOHfunM56YWEhfHx89D4j%2BenXrx/27t0LOzs7rT/Ta9euYeTIkTx0SrLElhgiIiO0ZcsWLFmyBIMGDYKVlZXoOLK2bds2bN68GTU1NXpbYioqKmBvby8gGf0etbW1ei9OsrKyQmVlpYBERI/Hgp2IyAg1btwYw4cPh7m5uegosvf666%2Bjd%2B/eeO211/Duu%2B/qPLewsICbm5uAZPR7dOvWDZs3b0ZgYKBmraqqClFRUejevbvAZER1Y0sMEZEROnDgAM6fP49p06ahdevWouM0CFlZWXBychIdg/6g3NxcTJ06FQBw48YNdOrUCQUFBWjRogXWr1%2BPF154QXBCIl0s2ImIjNCxY8ewaNEi3LhxQ%2B9z9rDfo29HvS7R0dF/YRL6M1VVVSE5ORkFBQWwtLSEg4MD3N3ddS5RIpIL/s0kIjJCixcvhqenJwYMGMAxdo/AlqGnz%2BLFizFs2DBO9aEGhTvsRERGqE%2BfPkhLS%2BOO4p9kz549ePXVV0XHoHqYOXMmUlNTYWNjg6FDh2L48OFsdSLZY8FORGSE1q5di1atWrHIfEIXL15ETk4OampqNGslJSXYsGEDfvrpJ4HJ6ElUV1fj5MmTOHr0KE6ePIkmTZrAx8cHPj4%2BePHFF0XHI9LBgp2IyAgFBQXh7NmzsLCwQJs2bWBiYqL1fNeuXYKSydfevXuxcOFC2NjY4M6dO2jevDlu3boFW1tbjBs3TmvqCDUcCoUCaWlp2LRpEzIzM3l%2Bg2SJn4USERmhbt26oVu3bqJjNCixsbGIjY2Fu7s7nJyckJ6ejqtXryIyMlLvDagkbzU1NUhJScGxY8eQnJwMU1NTjB8/XnQsIr24w05ERFQPzs7O%2BPHHHwEAPXv2xI8//ghJknDlyhXMmDEDBw8eFJyQ6iMuLg7Hjx9HSkoKmjRpAi8vL3h7e6N3796QJEl0PCK9uMNORGSkvvzySxw9ehRXr15FbW0tHBwcMHLkSPj6%2BoqOJku2trZIT0%2BHm5sbWrZsiczMTLz00kto2rQpCgoKRMejeoqKisKQIUMQGxsLFxcXFunUILBgJyIyQh9//DF2794Nf39/eHt7Q61WIz8/H%2BHh4fjtt98QEBAgOqLsBAYGYurUqUhLS8OoUaMQFBQEFxcX5Ofno1evXqLjUT199913kCQJJSUlOHfunObNKi8QIzljSwwRkREaOnSo3qvYs7KyEBoaiiNHjghKJm9XrlyBvb09gHuHULOzs2Fvb4/XXnsNNjY2gtNRfVy9ehWzZs1CdnY27pdAkiTB1dUVH3/8MZo1ayY4IZEuFuxEREaod%2B/e%2BP7773XmsCsUCvTt2xdnzpwRlKxhuHXrFp555hnRMeh3CAoKgomJCYKDg%2BHo6AgAyMvLwyeffAIbGxtERkYKTkiky%2BTxLyEioqfN888/j6%2B%2B%2Bkpn/cCBA2jfvr2ARPJXXV2NsLAw9OzZEx4eHgCAsrIyBAYG4ubNm4LTUX1lZWUhMjISnTt3RqNGjdCoUSO88MILiIiIQGpqquh4RHqxh52IyAjNnTsXU6dOxY4dO9CxY0cA9y4Funz5MtasWSM4nTyFh4ejoKAAmzdvxpQpUwAAZmZmaNKkCZYtW4aVK1cKTkj1IUkSFAqF3mcqlcrAaYjqhy0xRERG6vr160hISEBhYSEAwMHBAYMGDYKtra3gZPLUt29fHDlyBC1atECPHj1w7tw5AMCdO3cwZMgQpKenC05I9TFv3jzcuHEDs2bNgqOjIyRJ0rTENG7cGKtXrxYdkUgHd9iJiIzUs88%2Bi0mTJomO0WBIkgRra2uddaVSierqagGJ6PdYsGAB3n//fbz66qta6%2B7u7li0aJGYUESPwR12IiIjlJubi1WrViEvLw93797VeZ6SkiIglbwFBQWhbdu2mDt3LlxdXXHu3DkUFhYiPDwcKpUKMTExoiPSE7h9%2BzauXr0KALC3t%2BeUH5I1FuxEREZoxIgRaN26NTw9PWFlZaXzfOTIkQJSyVthYSGCgoKQn58PhUIBa2trVFZWwtnZGdHR0WwlaoCKioo0ox2bNWum9xMUIjlgwU5EZIScnZ2RkZEBCwsL0VEanOzsbBQUFMDCwgLt27fH888/LzoS1dPOnTtha2uLV155BQDQrVs3qFQqqNVqODo6Yv/%2B/bC0tBSckkgXe9iJiIxQ165dUVxczBGO9eDp6Vmv6%2BuPHz9ugDT0ex05cgQrVqxAdHS0Zs3U1BTffvstVCoVgoOD8eWXX2Ly5MkCUxLpx4KdiMgITZ48GaGhofDz84OdnR1MTLSv5XB3dxeUTH6mTZum%2BVqtViM8PBwLFiwQmIh%2Bj88//xzz5s3D4MGDNWuSJMHOzg4AEBwcjHXr1rFgJ1liSwwRkRHq0qVLnc8kSUJOTo4B0zQsD450pIbD1dUV3377LZo2bapZc3JyQlZWFoB7F2O5u7vj9OnToiIS1Yk77ERERig3N1d0BCKDqq6u1irWAWiKdQAwNzev80IlItFYsBMRGSmFQoGsrCwUFRWhtrYWDg4OcHZ2rle/NlFD07p1a%2BTn58PR0VHv8%2BzsbLRp08bAqYjqhwU7EZERys3NRWBgIK5du4Znn30WarUaN2/ehL29PbZt24a2bduKjkj0p/Ly8sLChQuxbds2mJqaaj2rqqrCwoUL4e3tLSgd0aOxh52IyAhNnjwZzz33HEJCQjQXxty5cwdRUVG4du0aNmzYIDihfOzevVvr%2B6VLlyIsLAwP//ocN26cIWPRE6qoqEBAQACqqqowbtw4ODg4QKlUIi8vD3v27EHbtm2xY8cOjnUkWWLBTkRkhPr27YtTp07pzGH/7bff4OnpiYyMDEHJ5MfT0/Oxr5EkiWMdG4DKykrExsbi2LFjKCgogCRJ6NChA3x8fDBp0iSYm5uLjkikFwt2IiIj9Morr%2BCLL77QaX0pKSnB2LFjcerUKUHJiIjoYexhJyIyQoMGDcKMGTMQGBgIR0dHSJKEvLw8xMbGwsPDQ3Q8IoNTKBRQqVTcZSdZ4g47EZERqqmpQXR0NPbv34/y8nIAQLNmzeDt7Y3Q0FBYWVkJTkhkWN7e3rh06RLvICBZYsFORGTk7ty5AwA6M6qJjElWVhbu3r2LPn36iI5CpIMFOxGREaqpqcG6devg4eEBFxcXAMCBAweQn5%2BPt99%2Bm20BREQyYiI6ABERGd6yZcuQlpaG5s2ba9Y6d%2B6M06dPIyIiQmAyIjHOnj2LlJQU0TGI9OIOOxGREXJzc8ORI0e0CnYAuHXrFoYNG4a0tDRByYjEYA87yRmnxBARGSGFQqF3vba2FjU1NQZOQyTekSNHREcgqhNbYoiIjNCQIUPw1ltvISkpCbm5ucjJycHhw4cxffp0DBs2THQ8or/MunXr9K5XVlYiPDzcwGmI6octMURERuju3buIjo5GfHy81pSYUaNGYc6cOWjUiB/A0tOlrKwMN2/ehL%2B/Pw4ePIiHy58LFy5g7ty5yMrKEpSQqG4s2ImIjMjhw4fh4%2BOjtXbr1i1IkqTpZ//ggw%2B400hPnX379iEiIgKVlZU6xfp9Xl5eWL16tYGTET0eC3YiIiPSo0cPnDt3TvO9m5sb0tPTH/kaoqeFUqlE3759ER8fr/PM0tISLVu2FJCK6PHYw05EZEQe3qOprKx87GuInhampqbIzMxEkyZNYGdnBzs7OzRt2hT/%2Bc9/cP36ddHxiOrEgp2IyIhIkvTI7%2BtaI3paHDp0CIMGDQIAVFRUwN/fH6GhoRgzZgz27dsnOB2RfizYiYiIyGisXbsW69evBwDEx8dDkiSkpqZi%2B/bt2LJli%2BB0RPqxYCciIiKjUVxcjD59%2BgAAkpOT4e/vDysrKzg7O6OoqEhwOiL9OLeLiMiIKJVK7NmzR9On/vD399eInlbNmzdHXl4erKyskJGRgdmzZwMASkpKYGlpKTgdkX4s2ImIjEirVq0QExNT5/f314ieVgEBARg1ahQkSYKrqytefPFFlJeXIygoCEOHDhUdj0gvjnUkIiIio3LmzBmUl5ejX79%2BMDc3h1KpxJYtWzBp0iSYm5uLjkekgwU7ERERGY2amppHPmfBTnLEgp2IiIiMRpcuXR45ujQnJ8eAaYjqhz3sREREZDS2b9%2Bu9b1SqcTly5cRHx%2BPN998U1AqokfjDjsREREZvYKCAsyZMwe7d%2B8WHYVIB%2BewExERkdH7v//7P1y4cEF0DCK92BJDRERERkPfDvrdu3dx4sQJtG/fXkAiosdjSwwREREZDU9PT501CwsLtG/fHrNmzUKXLl0EpCJ6NBbsREREREQyxh52IiIiMho9e/YE9yqpoWHBTkREREbjlVdewZ49e0THIHoibIkhIiIiozF9%2BnScO3cOJiYmaNOmDczMzLSe79q1S1AyorpxSgwRERE99YqKitC2bVt0794d3bt3Fx2H6Ilwh52IiIieej169MC5c%2BdExyD6XdjDTkRERE897k9SQ8aCnYiIiJ56kiSJjkD0u7ElhoiIiJ56Xbt2RY8ePR77Oh46JTnioVMiIiJ66pmYmMDd3V10DKLfhTvsRERE9NTjoVNqyNjDTkRERE897k9SQ8aCnYiIiJ56L730kugIRL8bW2KIiIiIiGSMO%2BxERERERDLGgp2IiIiISMZYsBMRERERyRgLdiIiIiIiGWPBTkREREQkYyzYiYiIiIhkjAU7EREREZGMsWAnIiIiIpKx/wdDJABi31FiQQAAAABJRU5ErkJggg%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>Country</th>\n",
       "      <th>Happiness.Rank</th>\n",
       "      <th>Happiness.Score</th>\n",
       "      <th>Whisker.high</th>\n",
       "      <th>Whisker.low</th>\n",
       "      <th>Economy..GDP.per.Capita.</th>\n",
       "      <th>Family</th>\n",
       "      <th>Health..Life.Expectancy.</th>\n",
       "      <th>Freedom</th>\n",
       "      <th>Generosity</th>\n",
       "      <th>Trust..Government.Corruption.</th>\n",
       "      <th>Dystopia.Residual</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Norway</td>\n",
       "      <td>1</td>\n",
       "      <td>7.537</td>\n",
       "      <td>7.594445</td>\n",
       "      <td>7.479556</td>\n",
       "      <td>1.616463</td>\n",
       "      <td>1.533524</td>\n",
       "      <td>0.796667</td>\n",
       "      <td>0.635423</td>\n",
       "      <td>0.362012</td>\n",
       "      <td>0.315964</td>\n",
       "      <td>2.277027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Denmark</td>\n",
       "      <td>2</td>\n",
       "      <td>7.522</td>\n",
       "      <td>7.581728</td>\n",
       "      <td>7.462272</td>\n",
       "      <td>1.482383</td>\n",
       "      <td>1.551122</td>\n",
       "      <td>0.792566</td>\n",
       "      <td>0.626007</td>\n",
       "      <td>0.355280</td>\n",
       "      <td>0.400770</td>\n",
       "      <td>2.313707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Iceland</td>\n",
       "      <td>3</td>\n",
       "      <td>7.504</td>\n",
       "      <td>7.622030</td>\n",
       "      <td>7.385970</td>\n",
       "      <td>1.480633</td>\n",
       "      <td>1.610574</td>\n",
       "      <td>0.833552</td>\n",
       "      <td>0.627163</td>\n",
       "      <td>0.475540</td>\n",
       "      <td>0.153527</td>\n",
       "      <td>2.322715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>4</td>\n",
       "      <td>7.494</td>\n",
       "      <td>7.561772</td>\n",
       "      <td>7.426227</td>\n",
       "      <td>1.564980</td>\n",
       "      <td>1.516912</td>\n",
       "      <td>0.858131</td>\n",
       "      <td>0.620071</td>\n",
       "      <td>0.290549</td>\n",
       "      <td>0.367007</td>\n",
       "      <td>2.276716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Finland</td>\n",
       "      <td>5</td>\n",
       "      <td>7.469</td>\n",
       "      <td>7.527542</td>\n",
       "      <td>7.410458</td>\n",
       "      <td>1.443572</td>\n",
       "      <td>1.540247</td>\n",
       "      <td>0.809158</td>\n",
       "      <td>0.617951</td>\n",
       "      <td>0.245483</td>\n",
       "      <td>0.382612</td>\n",
       "      <td>2.430182</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "    </div>\n",
       "</div>\n",
       "</div>"
      ],
      "text/plain": [
       "<pandas_profiling.ProfileReport at 0x7f1fe7f8cd30>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas_profiling\n",
    "pandas_profiling.ProfileReport(dataframe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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