diagramatic-diagnosis.ipynb

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   "source": [
    "from IPython.display import HTML\n",
    "import random\n",
    "\n",
    "def hide_toggle(for_next=False):\n",
    "    this_cell = \"\"\"$('div.cell.code_cell.rendered.selected')\"\"\"\n",
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    "        cell_selector=target_cell,\n",
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    "    )\n",
    "    \n",
    "    return HTML(html)\n",
    "\n",
    "hide_toggle()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# PyCon 2018: Ian Ozsvald - On diagramatic diagnosis of data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Google facets - know your data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "At https://pair-code.github.io/facets/\n",
    "\n",
    "*Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive.*\n",
    "\n",
    "Offers two tools: **Overview** and **Dive**."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Facets Overview\n",
    "    \n",
    "![](pics/facets-overview.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Facets Dive\n",
    "\n",
    "![](pics/facets-dive.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Pandas profiling"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "* a Python package\n",
    "* `pip install pandas-profiling`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
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   },
   "outputs": [],
   "source": [
    "import wget\n",
    "import pandas as pd\n",
    "url = 'http://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv'\n",
    "fname_titanic = wget.download(url)\n",
    "df = pd.read_csv(fname_titanic, encoding='UTF-8')\n",
    "\n",
    "import pandas_profiling as pdp\n",
    "report = pdp.ProfileReport(df); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
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   },
   "outputs": [
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       "    <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>8 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Number of observations</th>\n",
       "                <td>887 </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Total Missing (%)</th>\n",
       "                <td>0.0% </td>\n",
       "            </tr>\n",
       "            <tr>\n",
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       "                <td>55.5 KiB </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <th>Average record size in memory</th>\n",
       "                <td>64.1 B </td>\n",
       "            </tr>\n",
       "            </tbody>\n",
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       "        <p class=\"h4\">Variables types</p>\n",
       "        <table class=\"stats\" style=\"margin-left: 1em;\">\n",
       "            <tbody>\n",
       "            <tr>\n",
       "                <th>Numeric</th>\n",
       "                <td>5 </td>\n",
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       "                <td>1 </td>\n",
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       "                <td>1 </td>\n",
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       "            <tr>\n",
       "                <th>Date</th>\n",
       "                <td>0 </td>\n",
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       "            <tr>\n",
       "                <th>Text (Unique)</th>\n",
       "                <td>1 </td>\n",
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       "            <tr>\n",
       "                <th>Rejected</th>\n",
       "                <td>0 </td>\n",
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       "        \n",
       "        <p class=\"h4\">Warnings</p>\n",
       "        <ul class=\"list-unstyled\"><li><a href=\"#pp_var_Fare\"><code>Fare</code></a> has 15 / 1.7% zeros <span class=\"label label-info\">Zeros</span></li><li><a href=\"#pp_var_Parents/Children Aboard\"><code>Parents/Children Aboard</code></a> has 674 / 76.0% zeros <span class=\"label label-info\">Zeros</span></li><li><a href=\"#pp_var_Siblings/Spouses Aboard\"><code>Siblings/Spouses Aboard</code></a> has 604 / 68.1% zeros <span class=\"label label-info\">Zeros</span></li> </ul>\n",
       "    </div>\n",
       "</div>\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Variables</h1>\n",
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       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_Age\">Age<br/>\n",
       "            <small>Numeric</small>\n",
       "        </p>\n",
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       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>89</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>10.0%</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",
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       "\n",
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       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>29.471</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0.42</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>80</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
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       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram3973015115259460247\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAATBJREFUeJzt3cGJAkEQQNF1MSSDMCfPm9MGYU5jAvKZEYYp9b270JdPUd2Kp2VZlh/gqd%2BjDwCTnY8%2BwFEut//Nn7n/XXc4CZOZIBAEAkEgEAQCQSAQvvYW6xVbb77cer0/EwSCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCb/PuyO/e358JAkEgEAQCQSAQBAJBIBAEAkEgEAQCwUv6MF7fZzFBIAgEgkAgCATCuCXdksokJgiE07S/gX5lgrCNibueCQJBIBAEAmHcLRb7c1O4ngkCQSAQBALBDsIq37q3CITdfEJU417SYRI7CASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCIQHXdQnmNMMRkkAAAAASUVORK5CYII%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives3973015115259460247,#minihistogram3973015115259460247\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives3973015115259460247\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles3973015115259460247\"\n",
       "                                                  aria-controls=\"quantiles3973015115259460247\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram3973015115259460247\" aria-controls=\"histogram3973015115259460247\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common3973015115259460247\" aria-controls=\"common3973015115259460247\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme3973015115259460247\" aria-controls=\"extreme3973015115259460247\"\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=\"quantiles3973015115259460247\">\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>0.42</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>5</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>20.25</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>28</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>38</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>55.85</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>80</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>79.58</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>17.75</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>14.122</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.47917</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>0.29256</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>29.471</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>10.985</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>0.44719</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>26141</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>199.43</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>7.0 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=\"histogram3973015115259460247\">\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%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%2B/Oc/1/zs2rVrNXToUHXp0kXDhw/Xli1bfJikNn9/P/n5%2Bcnf38/Xoxjl1FwS2eyKbPbk1GxOzSU5M5tjj2A98cQTiomJ0caNG/XNN99o/Pjxmjt3riZNmiTLsvTee%2B8pMjKy1s/t3r1bU6dOVVZWlnr27Kl33nlHKSkpWr9%2BvX7yk5/4IAkAALAbRx7BcrvdiomJUUZGhoKCghQeHq7ExETt3LlTbrdbkhQaGnrBn83OzlZ8fLzi4%2BPVsGFDDRkyRFFRUVqzZs2VjAAAAGzMkUewgoODNWfOHI%2B1o0ePKiIiQidOnFBAQICmTp2qHTt2qFGjRho6dKgmTJig6667Tnl5eYqPj/f42ejoaLlcrjrff2FhoYqKijzWAgObKCIiwvtQ3xEQ4O/x3Smcmksim12RzZ6cms2puSRnZnNkwfo%2Bl8ul119/XYsXL5ZlWYqOjlb//v317LPPas%2BePUpNTZWfn5/S0tJUVlamkJAQj58PCQnRvn376nx/K1asUFZWlsdacnKyUlNTjeQ5Lzi4sdH9XS2cmksim12RzZ6cms2puSRnZXN8wfr44481fvx4ZWRkqHfv3pKkf/zjHzXbO3furMcff1wvvfSS0tLSLrofP7%2B6X3iXlJSkAQMGeKwFBjZRaempek5/YQEB/goObiy3%2B7SqqqqN7PNq4NRcEtnsimz25NRsTs0lXd5sYWFBRvdXV44uWJs2bVJmZqamT5%2BuxMTEi96udevWKi4ulmVZCgsLU2lpqcf2srIyhYWF1fl%2BIyIiap0OLCo6qcpKs0%2Baqqpq4/u8Gjg1l0Q2uyKbPTk1m1NzSc7K5pyTnd%2Bza9cuTZo0SQsWLPAoVzt27NBLL73kcdsDBw6oVatW8vPzU2xsrHJzcz22u1wude7c%2BYrMDQAA7M%2BRBauyslJPPvmkMjMz1bdvX49tTZs21cKFC7VmzRqdO3dOubm5%2Bstf/qL7779fkjRy5Eht375dmzdvVkVFhbKzs3Xo0CENGzbMF1EAAIAN%2BVmW5ay3g5W0c%2BdOPfDAA2rQoEGtbevXr9fu3bu1aNEiHT58WOHh4RoxYoTGjh0rf/9v%2B%2BaGDRuUlZWlI0eOqF27dpo4caJ69OhxSTOZfCf3wEB/hYUFqbT0lGMOpUrOzSWRza7IZk9OzebUXNLlzeard3J35DVY3bt31969ey%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%2BPj4z1%2BNjo6Wi6Xq873X1hYqKKiIo%2B1wMAmioiIqG%2BUCwoI8Pf47hROzYXaAgPt8Rg7%2BTlJNvtxai7JmdkcWbC%2Bz%2BVy6fXXX9fixYuVk5Oj4OBgj%2B2hoaEqKytTdXW1ysrKFBIS4rE9JCRE%2B/btq/P9rVixQllZWR5rycnJSk1N9T7EBQQHNza6v6uFU3Phv8LCgnw9Qr04%2BTlJNvtxai7JWdkcX7A%2B/vhjjR8/XhkZGerdu7dycnJq3cayLPn5%2Bf3gfn5s%2B3clJSVpwIABHmuBgU1UWnqqzvv4IQEB/goObiy3%2B7SqqqqN7PNq4NRcqM3U78Ll5uTnJNnsx6m5pMubzVf/oHN0wdq0aZMyMzM1ffp0JSYmSpKaN2%2BuQ4cOedzuxIkTCg0Nlb%2B/v8LCwlRaWuqxvaysTGFhYXW%2B34iIiFqnA4uKTqqy0uyTpqqq2vg%2BrwZOzYX/stvj6%2BTnJNnsx6m5JGdlc87Jzu/ZtWuXJk2apAULFtSUK0mKjY3V3r17VVlZWbPmcrnUuXPnmu25ubke%2B/rudgAAgB/jyIJVWVmpJ598UpmZmerbt6/Htvj4eDVt2lSLFy/W6dOn9dlnnyk7O1ujR4%2BWJI0cOVLbt2/X5s2bVVFRoezsbB06dEjDhg3zRRQAAGBDjjxF%2BOmnn2r//v2aPXu2Zs%2Be7bFt/fr1%2BtOf/qRZs2bpr3/9q8LDw5Wenq5%2B/fpJktq3b6/58%2Bfr%2Beef15EjR9SuXTstWbJE4eHhPkgCAADsyJEFq3v37tq7d%2B8P3ubVV1%2B96LaEhAQlJCSYHgsAAFwjHHmKEAAAwJcoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAzzumCdPHnS5BwAAACO4XXB6tu3ryZPnqydO3de0gBbt25V7969lZ6e7rG%2BY8cOdejQQR07dvT4%2Bvzzzy/p/gAAAC63QG9/8He/%2B53Wrl2rRx55RDfeeKNGjhype%2B65R82bN6/zPpYuXars7Gy1adOm1raTJ0/qpptu0ttvv%2B3tiAAAAD7h9RGsxMRELVu2TFu2bNEDDzygDRs2qF%2B/fkpPT9eHH35Yp300bNjwogXrxIkTCgkJ8XY8AAAAn/H6CNZ5zZs314MPPqgHH3xQ69at08yZM7V%2B/Xq1bdtWaWlpSkhIuOjPjhkz5qLb3G63Tpw4oYceekj5%2Bflq0aKFxo0bp2HDhl3qyJddYWGhioqKPNYCA5soIiLCyP4DAvw9vjuFU3OhtsBAezzGTn5Oks1%2BnJpLcma2Sy5YJSUlWr16tf7xj3/oq6%2B%2BUp8%2BfZSUlKTCwkI99dRTKigo0KOPPlrv/TZp0kSRkZH6zW9%2Bo%2BjoaG3YsEFTpkxReHi4evXqdaljX1YrVqxQVlaWx1pycrJSU1ON3k9wcGOj%2B7taODUX/issLMjXI9SLk5%2BTZLMfp%2BaSnJXN64K1detWrVq1Shs3blRoaKjuvfdejRw5Uq1ataq5za233qrk5GSvCtaoUaM0atSomj8PHTpU7777rlavXn3VF6ykpCQNGDDAYy0wsIlKS08Z2X9AgL%2BCgxvL7T6tqqpqI/u8Gjg1F2oz9btwuTn5OUk2%2B3FqLunyZvPVP%2Bi8LliPP/644uLiNH/%2BfP385z9XYGDtXXXq1EnNmjW7pAG/q3Xr1srNzTW2v8slIiKi1unAoqKTqqw0%2B6Spqqo2vs%2BrgVNz4b/s9vg6%2BTlJNvtxai7JWdm8Lljr169XmzZtdPbs2ZpyVV5erqZNm3rc7q233vJq/ytXrlRISIgGDRpUs7Z//37deOON3o4MAABwRXh9NZm/v7/uuusubdy4sWZt5cqVuuuuu3T48OFLHuz06dN6%2BumnlZubq3Pnzumtt97S1q1bNXr06EveNwAAwOXk9RGsZ555Rh06dFC3bt1q1oYNG6YvvvhCc%2BbM0Ysvvvij%2B%2BjYsaMkqbKyUpL07rvvSpJcLpfGjBmj8vJypaamqrS0VG3bttWLL76oW2%2B91duRAQAArgivC9Ynn3yizZs3q3Hj/17xf8MNN%2Bipp55S//7967QPl8t10W1%2Bfn5KTk5WcnKytyMCAAD4hNenCC3L0tmzZ2utl5eXq6qq6pKGAgAAsDOvC9Ydd9yhyZMnKz8/X%2BXl5XK73dq1a5cyMjLUr18/gyMCAADYi9enCKdNm6bk5GQlJibKz8%2BvZr179%2B6aMWOGkeEAAADsyOuCdf3112v58uXKz8/Xl19%2BqYCAAN10001q166dyfkAONDgF7b5eoR6eSfzDl%2BPAMBmLvmjcqKiohQVFWViFgAAAEfwumC5XC7Nnj1bX3zxhc6cOVNr%2B549ey5pMAAAALvyumBNnz5dTZo0UUpKipo0aWJyJgAAAFvzumAdOnRIH3zwQa2PxgEAALjWef02DS1btjQ5BwAAgGN4XbDS09P1%2B9//XuXl5SbnAQAAsD2vTxEuXrxYR44c0RtvvKHQ0FD5%2B3t2tQ8%2B%2BOCShwMAALAjrwvWgAEDTM4BAADgGF4XrAkTJpicAwAAwDG8vgZLknbt2qXJkyfroYcekiRVV1frrbfeMjIYAACAXXldsNatW6eHHnpIJ06c0KeffipJOn78uGbMmKHs7GxjAwIAANiN1wVryZIlmj9/vv70pz/VfNhzy5YttXDhQr3yyivGBgQAALAbrwvWV199pYSEBEmqKViSFBcXpyNHjlz6ZAAAADbldcEKCwtTSUlJrfWDBw%2BqUaNGlzQUAACAnXldsHr27Knf/va32r9/vySprKxMH3zwgdLS0tSvXz9T8wEAANiO1wVr8uTJOn36tO6%2B%2B25VVFSoV69e%2BtWvfqVWrVppypQpJmcEAACwFa/fBys0NFSvvvqq8vPzdeDAATVq1Eht27ZV27ZtTc4HAABgO14XrPOioqIUFRVlYhYAAABH8LpgRUVFefzvwe/bs2ePt7sGAACwNa8L1owZMzwKVlVVlQ4ePKgtW7Zo/PjxRoYDAACwI68L1ujRoy%2B4/q9//UsrVqzQ//zP/3g9FAAAgJ1d0mcRXkiPHj30/vvvm94tAACAbRgvWBs3blRg4CVfOw8AAGBbXjehvn371lqrqKhQeXn5RU8fAgAAXAu8LlhJSUm1/hdhw4YNdfPNN2vAgAGXPBgAAIBdeV2wUlJSTM4BAADgGF4XrKysrDrdzs/PT8nJyd7eDQAAgO14XbD%2B7//%2BT8XFxaqoqFDjxo0VGBiokydPqlGjRmratKnHbSlYAADgWuJ1wcrIyNB7772niRMnqkWLFpKkw4cPa968eRo8eLAGDx5sbEgAAAA78bpgLViwQCtXrlRISEjN2o033qiZM2cqKSmJggUAAK5ZXr8P1rFjxxQQEFBr/brrrlNxcfElDQUAAGBnXhesW265RZMnT1ZeXp7cbrfKy8uVn5%2BvadOmqUOHDiZnBAAAsBWvTxHOmjVLGRkZuvfee2veD8uyLLVs2VIvvviisQEBAADsxuuCFRMTo5ycHOXm5urYsWOyLEstWrRQbGys/P2NfwIPAACAbVzyhwaGhITo5MmT6tWrl4l5AAAAbM/rQ00lJSUaO3asfvGLX2jcuHGSpKKiIg0ZMkTHjx83NiAAAIDdeF2wnn32WVVXV2vVqlU1pwSbNWummJgYPfvss8YGBAAAsBuvTxFu2bJF//znPxUZGVlzkXujRo00depUDR061NiAAAAAduP1Eaxz584pIiKi1nqjRo1UXl5%2BSUMBAADYmdcF6%2Babb9aGDRtqra9YsUJt27a9pKEAAADszOtThI899pgmTpyonJwcVVVVadasWcrLy9Pnn3%2BuF154weSMAAAAtuL1Eaxf/vKXWrJkiSorK/XTn/5Un3zyiVq1aqXly5crISHB5IwAAAC24vURLJfLpV69evH%2BVwAAAN/j9RGsMWPGqKqqyuQsAAAAjuB1wbr77rv117/%2BVZZlmZwHAADA9rw%2BRVhcXKyNGzdq6dKlatmypRo0aOCxffny5Zc8HAAAgB15XbDCwsIUHx9vchYAAABHqHfBSk1N1cKFCzVnzpyatYULFyo1NdXoYAAAAHZV72uw3n///Vprf/7zn40MY9LWrVvVu3dvpaen19q2du1aDR06VF26dNHw4cO1ZcuWmm3V1dV67rnnNHDgQPXo0UNjx47Vl19%2BeSVHBwAANuf1Re7fdbVd6L506VLNnj1bbdq0qbVt9%2B7dmjp1qjIzM7Vjxw499thjSklJ0bFjxyRJr776qtatW6eXXnpJmzdv1s9%2B9jNNmDDhqssIAACuXkYK1vkPe75aNGzYUNnZ2RcsWNnZ2YqPj1d8fLwaNmyoIUOGKCoqSmvWrJEkrVq1So888ohuvvlmBQUFKS0tTQcPHtRnn312pWMAAACb8voi96vZmDFjLrotLy%2Bv1sX50dHRcrlcOnPmjPbt26eYmJiabUFBQfrpT38ql8ul2267rU73X1hYqKKiIo%2B1wMAmF/xwbG8EBPh7fHcKp%2BaC/TnxOenk3zenZnNqLsmZ2RxZsH5IWVmZQkJCPNZCQkK0b98%2BnThxQpZlXXB7aWlpne9jxYoVysrK8lhLTk42/h8BgoMbG93f1cKpuWBfTn5Oks1%2BnJpLcla2ehesc%2BfOKSMj40fXnnvuuUub7Ar7odOclmXV6zRoUlKSBgwY4LEWGNhEpaWnvJ7vuwIC/BUc3Fhu92lVVVUb2efVwKm5YH9OfE46%2BffNqdmcmku6vNnCwoKM7q%2Bu6l2wunXrpsLCwh9du1qFhYXVOhpVVlamsLAwhYaGyt/fv9b2EydOqHnz5nW%2Bj4iIiFqnA4uKTqqy0uyTpqqq2vg%2BrwZOzQX7cvJzkmz249RckrOy1btgvfrqq5djjismNjZWubm5Hmsul0t33323GjZsqFtuuUV5eXm6/fbbJUlut1tfffWVOnXq5ItxAQCADTnnarI6GjlypLZv367NmzeroqJC2dnZOnTokIYNGyZJGj16tP72t79p//79Ki8v1/z58xUdHa2OHTv6eHIAAGAXjrzI/XwZqqyslCS9%2B%2B67kr49UtW%2BfXvNnz9fzz//vI4cOaJ27dppyZIlCg8PlySNGjVKxcXFGjdunE6dOqUuXbrUumAdAADghziyYLlcrh/cnpCQoISEhAtu8/PzU0pKilJSUi7HaAAA4BpwzZ0iBAAAuNwoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhjnyjUQAw6Rfzt/p6hHrJSevj6xGAax5HsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDAn09AC7N4Be2%2BXqEOstJ6%2BPrEQAAuCI4ggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYdfkZxH2799fRUVF8vPzq1kbOXKkpk%2Bfrm3btumPf/yjDhw4oJ/85CcaN26cEhMTfTgtAACwm2uyYLndbv3tb39T165dPdb/85//KDk5WU8%2B%2BaSGDh2qXbt26de//rV%2B9rOfqVOnTj6aFgAA2M01d4qwqqpKp06dUkhISK1ta9euVdu2bXXfffepYcOG6tWrlwYOHKjs7GwfTAoAAOzqmjuC5Xa7ZVmWFi1apF27dsmyLA0YMECTJk1SXl6eYmJiPG4fHR2tnJycet1HYWGhioqKPNYCA5soIiLikueXpIAAf4/vdjH4hW2%2BHgG4JgQG/vhrg11fR%2BrCqdmcmktyZrZrrmCdPXtWt956q7p27ao5c%2BaooKBA6enpmjlzpsrKyhQZGelx%2B9DQUJWWltbrPlasWKGsrCyPteTkZKWmpl7y/N8VHNzY6P4AOENYWFCdb%2Bvk1xGnZnNqLslZ2a65ghUZGanVq1fX/Lldu3bKzMzU%2BPHj1a1bt1q3tyzL42L4ukhKStKAAQM81gIDm6i09JR3Q39PQIC/goMby%2B0%2BbWR/AJyl%2B2/X%2B3qEOnsn8w7j%2B/zua2RVVbXx/fuKU3NJlzdbff7BYdI1V7AupHXr1qqqqpK/v7/Kyso8tpWVlSksLKxe%2B4uIiKh1OrCo6KQqK80%2BaZz2Cwbg2mP6dfG7qqqqL%2Bv%2BfcWpuSRnZXPOyc46ys/P17x58zzW9u/frwYNGig%2BPl65ubke23Jzc9W5c%2BcrOSIAALC5a65ghYWF6e9//7uWLVums2fP6uDBg1q0aJFGjRqle%2B65RwUFBVq1apUqKir0/vvv6/3339fIkSN9PTYAALCRa65gRUZG6qWXXtKGDRsUFxensWPH6o477tDEiRN1/fXXa8mSJVq5cqV69eql5557TvPmzVNUVJSvxwYAADZyTV6D1aNHD61cufKi21atWnWFJwIAAE5yzR3BAgAAuNwoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMCzQ1wMAAK5dg1/Y5usR6iUnrY%2BvR4BNcAQLAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGBfp6AAAA7GLwC9t8PUK95KT18fUI1yyOYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsG6gMOHD2vcuHGKi4tT//79NXfuXFVVVfl6LAAAYBN8VM4FpKamKjY2Vs8//7xKSkr0%2BOOP64YbbtDYsWN9PRoAAHVmp4/22fnML309glEcwfoel8ulvXv3KjMzU82aNVObNm306KOPatWqVb4eDQAA2ARHsL4nLy9PrVq1UkhISM1aTEyMDh48qPLycjVt2vRH91FYWKiioiKPtcDAJoqIiDAyY0CAv8d3AACcwEl/r1GwvqesrEzBwcEea%2BfLVmlpaZ0K1ooVK5SVleWxNmHCBKWkpBiZsbCwUK%2B8skxJSUmOOqRaWFioFStWKCkpyVgZvVqQzZ7IZk9OzebUXNK32RYtWuSobM6pipeRZVmSJD8/vzrdPikpSatXr/b4SkpKMjZPUVGRsrKyah0lszun5pLIZldksyenZnNqLsmZ2TiC9T3NmzdXaWmpx9qJEyfk5%2BensLCwOu0jIiLCMQ0cAADUH0ewvic2NlZHjx5VSUlJzZrL5VK7du0UFBTkw8kAAIBdULC%2BJyYmRp06ddJzzz2n8vJy7d%2B/Xy%2B//LJGjx7t69EAAIBNBMycOXOmr4e42txxxx3KycnRs88%2Bqw0bNigxMVFjx46t8zVYV0JQUJBuv/12xx1Vc2ouiWx2RTZ7cmo2p%2BaSnJfNzzp/BTcAAACM4BQhAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFnxm69at6t27t9LT02ttW7t2rYYOHaouXbpo%2BPDh2rJliw8mBADAOxQsGzl8%2BLDGjRunuLg49e/fX3PnzlVVVZWvx/LK0qVLNXv2bLVp06ZvwgOwAAAJt0lEQVTWtt27d2vq1KnKzMzUjh079NhjjyklJUXHjh3zwaT1V1BQoOTkZMXFxalnz56aNGmS3G63JCkvL08PPvigunXrpoSEBC1btszH09ZPfn6%2BHn74YXXr1k29e/dWWlqaioqKJEnbtm3Tfffdp65du%2Bruu%2B/WG2%2B84eNpvfP73/9eHTp0qPmz3XP1799fsbGx6tixY83XrFmzJNk/23mLFy9W3759ddttt%2BmRRx7R4cOHJdk330cffeTxeJ3/6tChgwoKCmz/OrJnzx6NGTNG3bt3V58%2BfZSZmamSkhJJ9n3MLsiCbSQmJlpPPvmk5Xa7rUOHDlkJCQnWsmXLfD2WV1555RXL7XZbkydPttLS0jy2/e53v7OSk5M91kaOHGktWbLkSo7otWHDhllTpkyxysvLrcLCQuvee%2B%2B1pk2bZp0%2Bfdrq27evtWjRIuvUqVNWXl6eFRcXZ%2BXk5Ph65DqpqKiwevXqZWVlZVkVFRVWUVGRdf/991tPPPGEdfz4catz587WqlWrrDNnzljbt2%2B3OnXqZH322We%2BHrtedu/ebfXo0cNq3769ZVmWI3J17drV%2Bvjjj2utOyGbZVnWa6%2B9ZiUkJFj79u2z3G639fTTT1tPP/20Y/Kd9/e//90aNWqU7V9HKisrrT59%2Blh/%2BMMfrNOnT1vFxcXWww8/bKWkpDjuMeMIlk24XC7t3btXmZmZatasmdq0aaNHH31Uq1at8vVoXhkzZoyaNWt2wW15eXmKiYnxWIuOjpbL5boSo10St9utmJgYZWRkKCgoSOHh4UpMTNTOnTu1efNmVVZWavz48WrSpIliYmI0YsQI2zyGp0%2BfVnp6uv73f/9XDRo00A033KBBgwbp3//%2Bt9auXau2bdvqvvvuU8OGDdWrVy8NHDhQ2dnZvh67zqqrqzVjxgw9/PDDNWt2z1VVVaVTp04pJCSk1ja7ZzvvL3/5i9LT03XzzTerWbNmmj59uqZPn%2B6YfJJUXFysBQsWaMaMGbZ/HSksLFRRUZGGDx%2BuRo0a6frrr9egQYO0Z88eRz1mEqcIbSMvL0%2BtWrXyeKGMiYnRwYMHVV5e7sPJzCsrK6v1F0JISIhKS0t9NFHdBQcHa86cObrhhhtq1o4ePaqIiAjl5eWpQ4cOCggIqNkWHR2t3NxcX4xabyEhIRoxYoQCAwMlSV9%2B%2BaXeeOMN3XXXXRctxXbJJknLly9XgwYNdM8999Ss2T2X2%2B2WZVlatGiR7rzzTt1xxx2aMWOGTp06ZftskvSf//xHR44cUXl5ue666y7FxcUpNTVVJSUljsh33sKFC5WQkKCoqCjbv45ERkYqOjpay5cv16lTp/T111/r7bffVr9%2B/Rz1mEkULNsoKytTcHCwx9r5EmKH4mGCn5%2Bfr0eoN5fLpddff13jx4%2B/4GMYGhqqsrIyVVdX%2B2jC%2BisoKFBsbKwGDRqkTp06KTU19aLZ7PLcLC4u1qJFizRjxgyPdbvnOnv2rG699VZ17dpVb7/9tl5%2B%2BWXt2rVLM2fOtH02STp%2B/LgkKScnRy%2B//LL%2B%2Bc9/qrCwUE899ZQj8knfZnzzzTc1btw4SRd/TtrldcTf318LFy7Upk2b1LVrV/Xu3VuVlZXKyMhwzGN2HgXLxizLkmTP4vFDwsLCav1ClZWVKSwszEcTeefjjz/W2LFjlZGRod69e1/wNpZl2e7xa9WqlVwul9avX68DBw5o4sSJF7ydnbLNmTNH9957r2655ZYfva2dckVGRmr16tUaM2aMGjdurHbt2ikzM1Pr1q3TuXPnat3eTtmk/74G/upXv1JkZKRatGihCRMm6L333rvo7e2UT5Jee%2B013Xnnnbrxxhsvehs75Tp79qzGjx%2BvQYMGaefOndqyZYuCg4OVmZl5wdvbKdv3UbBsonnz5rVKx4kTJ%2BTn52e74vFjYmNjax0Sdrlc6ty5s48mqr9Nmzbp8ccf17Rp0zRmzBhJF38MQ0ND5e9vr19FPz8/3XTTTUpPT9fatWsVGBiosrIyj9vYpRR/%2BOGH%2BuSTT5ScnFxrW1hYmG1zXUzr1q1VVVUlf39/22c7fyr%2Bu0c9WrZsqerqap07d872%2BaRvj879/Oc/r/mz3V9HPvzwQx05ckS/%2Bc1v1KxZM0VGRio1NVXvvPOOI56T33X1PxqQ9G3pOHr0aM1/ZZW%2BLR3t2rVTUFCQDyczb%2BTIkdq%2Bfbs2b96siooKZWdn69ChQxo2bJivR6uTXbt2adKkSVqwYIESExNr1mNjY7V3715VVlbWrNmpOG7btk2DBg3yOA1x/gW9d%2B/etUpxbm6uLbK9%2Beab%2Bvrrr9WvXz/FxcVp%2BPDhkqS4uDi1b9/etrmkb99WY968eR5r%2B/fvV4MGDRQfH2/rbJLUokULNW/eXHv27KlZKygo0HXXXeeIfPn5%2BTpy5IjuvPPOmjW7v45UVVWpurq65uijpJosdn4duSAf/e9FeGHEiBHWtGnTrJMnT1r79u2zBgwYYL322mu%2BHssrsbGxVmxsrBUVFWVFRUXV/Pm8t99%2B2xo6dKjVpUsXa8SIEda//vUvH05bd%2BfOnbMGDx5sLV%2B%2BvNa2iooKq3///tbChQutb775xvr000%2Bt7t27W5s2bbryg3qhrKzM6tmzpzV37lzrm2%2B%2Bsb7%2B%2Bmtr7Nix1v33328VFxdbXbp0sVauXGmdOXPG2rx5s9WpUydrz549vh77R5WVlVnHjh2r%2Bfrkk0%2Bs9u3bW8eOHbMKCgpsm8uyvn0rhttuu81aunSpVVFRYR04cMAaMmSINXv2bFs/Zt/1xz/%2B0Ro4cKB16NAhq7i42EpKSrKmTJniiHzZ2dlW9%2B7dPdbs/jpSUlJi3X777dbzzz9vffPNN1ZJSYmVnJxsPfDAA454zL7Lz7K%2BUyNxVTt%2B/LhmzpypXbt2qVmzZkpMTNSECRNse37aiXbu3KkHHnhADRo0qLVt/fr1OnXqlGbNmqXdu3crPDxcY8aM0f333%2B%2BDSb2Tn5%2BvZ555Rp9//rmaNGminj17asqUKYqMjNRHH32kP/zhD9q/f79at26tCRMmKCEhwdcj19uRI0c0cOBA7d27V5Jsn%2Bujjz7SvHnz9O9//1thYWH65S9/qbS0NDVo0MD22aRvr%2BmZM2dOzXVlgwYN0vTp0xUUFGT7fEuWLNGbb76pdevWeax/8cUXtn4dyc3N1dy5c5Wfn68GDRro9ttvd9zriCRRsAAAAAzjGiwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMOz/AQlHiNXG4yC1AAAAAElFTkSuQmCC\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common3973015115259460247\">\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\">22.0</td>\n",
       "        <td class=\"number\">39</td>\n",
       "        <td class=\"number\">4.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">28.0</td>\n",
       "        <td class=\"number\">37</td>\n",
       "        <td class=\"number\">4.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">18.0</td>\n",
       "        <td class=\"number\">36</td>\n",
       "        <td class=\"number\">4.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">21.0</td>\n",
       "        <td class=\"number\">34</td>\n",
       "        <td class=\"number\">3.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">24.0</td>\n",
       "        <td class=\"number\">34</td>\n",
       "        <td class=\"number\">3.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">19.0</td>\n",
       "        <td class=\"number\">33</td>\n",
       "        <td class=\"number\">3.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">30.0</td>\n",
       "        <td class=\"number\">33</td>\n",
       "        <td class=\"number\">3.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">27.0</td>\n",
       "        <td class=\"number\">26</td>\n",
       "        <td class=\"number\">2.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">29.0</td>\n",
       "        <td class=\"number\">25</td>\n",
       "        <td class=\"number\">2.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">23.0</td>\n",
       "        <td class=\"number\">25</td>\n",
       "        <td class=\"number\">2.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"other\">\n",
       "        <td class=\"fillremaining\">Other values (79)</td>\n",
       "        <td class=\"number\">565</td>\n",
       "        <td class=\"number\">63.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme3973015115259460247\">\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\">0.42</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.67</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.75</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">0.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.83</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">0.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.92</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <p class=\"h4\">Maximum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">70.0</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">0.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">70.5</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">71.0</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">0.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">74.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">80.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_Fare\">Fare<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>248</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>28.0%</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>32.305</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>512.33</td>\n",
       "                </tr>\n",
       "                <tr class=\"alert\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>1.7%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram7373481114073442537\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAARNJREFUeJzt3bEJAkEQQFEVS7IIezK2J4uwpzUX%2BejCeYe%2Bly9M8hkm2v0YY%2ByAlw5rDwBbdlx7gGeny%2B3jN/freYFJwAaBJBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoGwuX/SZ/hbnaXYIBAEAkEgEAQC4SeO9BkOe97xt4F8w0yEM4S7nP0YY6w9BGyVGwSCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCATCA5JpFJU50JYtAAAAAElFTkSuQmCC\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives7373481114073442537,#minihistogram7373481114073442537\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives7373481114073442537\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles7373481114073442537\"\n",
       "                                                  aria-controls=\"quantiles7373481114073442537\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram7373481114073442537\" aria-controls=\"histogram7373481114073442537\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common7373481114073442537\" aria-controls=\"common7373481114073442537\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme7373481114073442537\" aria-controls=\"extreme7373481114073442537\"\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=\"quantiles7373481114073442537\">\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>7.225</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>7.925</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>14.454</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>31.137</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>112.56</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>512.33</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>512.33</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>23.212</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>49.782</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>1.541</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>33.265</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>32.305</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>28.243</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>4.7777</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>28655</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>2478.3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>7.0 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=\"histogram7373481114073442537\">\n",
       "            <img 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lgbYHUkNPp1FtvvaUVK1bo9OnTOnDggBYvXqxRo0bprrvu0pEjR5SZmamysjJt3LhRGzdu1MiRIyVJqampys7O1o4dO1RaWqqlS5cqPDxcvXr1sndRAAAgYATlDlbTpk21fPlyLViwQEuWLJHT6dTtt9%2Bu9PR0hYeHa9myZZo/f77mzZun5s2ba8GCBYqLi5Mk9ezZU48%2B%2BqhmzJghj8ej9u3ba/ny5apfv77NqwIAAIEixLIsy%2B4i6gKP56Txczocobpt4Wbj560tOem32F3CRTkcoXI6I1RQUFLntrNrCz01j57WDvpqnj/0NCamkS3XDcpbhAAAAHYiYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAM87uAdfKk%2BU88BwAAuJL8LmD16NFD06dP1%2Beff253KQAAAJfF7wLWv/3bv%2BmHH37Q/fffrzvuuEOvvPKKTpw4YXdZAAAANeZ3AWvIkCFasWKFNm3apN/%2B9rdav369evXqpcmTJ2vr1q12lwcAAHBRfhewzmrcuLHuvfdevf3225o3b54%2B%2BeQTjRkzRgMGDND69evtLg8AAOC8HHYXcD4nTpzQu%2B%2B%2Bqz/84Q/65ptvdMsttyglJUX5%2Bfl66qmndOTIET3wwAN2lwkAAFCN3wWszZs3KzMzUxs2bFB0dLSGDRumkSNHqlmzZlXHtG/fXmlpaQQsAADgl/wuYD300EPq0qWLFi5cqH/6p3%2BSw1G9xMTERDVq1MiG6gAAAC7O7wLWunXrdN111%2Bn06dNV4aq4uFhXXXWVz3F//OMf7SgPAADgovzuIffQ0FANGDBAGzZsqBp75513NGDAAH377bc2VgYAAFAzfhewnn76abVt21adOnWqGrvzzjuVmJioefPm2VgZAABAzfjdLcLt27crNzdXDRo0qBpr0qSJnnrqKfXu3dvGygAAAGrG73awLMvS6dOnq40XFxeroqLChooAAAAujd8FrFtvvVXTp0/Xnj17VFxcrKKiIm3btk1TpkxRr1697C4PAADgovzuFuETTzyhtLQ0DRkyRCEhIVXjN998s2bNmmVjZQAAADXjdwHr6quv1qpVq7Rnzx4dOnRIYWFhuv7669WqVSu7SwMAAKgRvwtYZ8XFxSkuLs7uMgAAAC6Z3wUsl8uluXPn6n//93916tSpavO7d%2B%2B2oSoAAICa87uA9eSTT6phw4aaOHGiGjZsaHc5AAAAl8zvAtbBgwf1ySefVPvVOAAAAIHC7z6m4dprr7W7BAAAgH%2BI3wWsyZMn65lnnlFxcbHdpQAAAFwWv7tFuHTpUh0%2BfFjZ2dmKjo5WaKhvBvzkk08u%2BZzPPPOMXn31Ve3du1eStGXLFv3Hf/yHvv76a/3yl7/UuHHjNGTIkKrjV65cqbffflvHjx9XmzZt9PjjjysxMfEfWxgAAKgz/C5g9enTx%2Bj5du/erezs7Kqvv//%2Be6WlpWnmzJkaPHiwtm3bpocfflg33HCDEhMT9dFHH2nJkiVasWKF2rZtqzfeeEPjx4/X%2BvXrFRERYbQ2AAAQnPwuYE2YMMHYuSorKzVr1izdd999WrRokSRp7dq1atGihYYPHy5J6tatm/r27ausrCwlJiYqMzNTQ4cOVVJSkiRp7NixevXVV5Wbm6uBAwcaqw0AAAQvv3sGS5K2bdum6dOn65//%2BZ8lnQlKf/zjHy/5PKtWrVJ4eLjuuuuuqjG32634%2BHif49q1a6e8vLxzzoeEhCguLk4ul%2BtylgIAAOogv9vB%2BvDDD/XYY4/p1ltv1Y4dOyRJx44d06xZs/Tjjz9W7TxdzPHjx7V48WK99tprPuNer1dNmzb1GYuOjlZBQUHVfFRUlM98VFRU1XxN5Ofny%2BPx%2BIw5HA0VGxtb43PURFiYX%2Bbj83I4/L/esz0NtN76M3pqHj2tHfTVvLrcU78LWMuWLdPChQt1xx13VD1Yfu2112rRokV65plnahyw5s2bp2HDhql169Y6fPjwBY%2B1LMvnF0tf6vzPrV69WhkZGT5jaWlpmjRpUo3PEYyczsB5hi0ysoHdJQQdemoePa0d9NW8uthTvwtY33zzjfr16ydJPqGmS5cuFw1KZ23dulXbt2/X3Llzq805nU55vV6fMa/XK6fTWTX/892qwsJCtW7dusZrSElJqfawvsPRUAUFJTU%2BR00E2jsC0%2BuvDWFhoYqMbKCiolJVVFTaXU5QoKfm0dPaQV/N84ee2vXm3u8CltPp1IkTJxQTE%2BMzfuDAAdWvX79G5/jggw/0ww8/qFevXpLO7EBJZ0LamDFjtHbtWp/j8/Lyqh5qT0hIkNvt1t133y1Jqqio0K5du2q8cyZJsbGx1W4HejwnVV5et39gA2n9FRWVAVVvIKCn5tHT2kFfzauLPfW7LZCuXbvqX//1X7V//35JZ3aXPvnkE6Wnp1cFpouZMWOG/vSnP%2Bn999/X%2B%2B%2B/r%2BXLl0uS3n//fQ0ePFhHjhxRZmamysrKtHHjRm3cuFEjR46UJKWmpio7O1s7duxQaWmpli5dqvDw8BpfGwAAwO92sKZPn66JEydWfSRCt27dZFmWevXqpRkzZtToHFFRUT4PqpeXl0uSrrnmGklnnvOaP3%2B%2B5s2bp%2BbNm2vBggWKi4uTJPXs2VOPPvqoZsyYIY/Ho/bt22v58uU13j0DAAAIsc7eP/Mze/bs0ddff6369eurRYsWatGihd0l/UM8npPGz%2BlwhOq2hZuNn7e25KTfYncJF%2BVwhMrpjFBBQUmd286uLfTUPHpaO%2Biref7Q05iYRrZc1%2B92sM6Ki4ur2lUCAAAIJH4XsOLi4i74kQi7d%2B%2B%2BgtUAAABcOr8LWLNmzfIJWBUVFTpw4IA2bdqk8ePH21gZAABAzfhdwEpNTT3n%2BF//%2BletXr266uMTAAAA/JXffUzD%2BXTu3FkbN260uwwAAICLCpiAtWHDBjkcfrfhBgAAUI3fJZYePXpUGysrK1NxcfF5bx8CAAD4E78LWCkpKdX%2BFWG9evXUsmXLar/fDwAAwB/5XcCaOHGi3SUAAAD8Q/wuYGVkZNTouJCQEKWlpdVyNQAAAJfO7wLWe%2B%2B9p%2BPHj6usrEwNGjSQw%2BHQyZMnVb9%2BfV111VU%2BxxKwAACAP/K7gDVlyhT9z//8j6ZNm1b1y5m//fZbLViwQHfccYfuuOMOmysEAAC4ML8LWC%2B%2B%2BKLeeecdRUVFVY396le/0uzZs5WSkkLAAgAAfs/vPgfr6NGjCgsLqzb%2Bi1/8QsePH7ehIgAAgEvjdwGrdevWmj59utxut4qKilRcXKw9e/boiSeeUNu2be0uDwAA4KL87hbhnDlzNGXKFA0bNqzq87Asy9K1116r//zP/7S5OgAAgIvzu4AVHx%2BvnJwc5eXl6ejRo7IsS9dcc40SEhIUGup3G24AAADV%2BF3AOisqKkonT55Ut27d7C4FAADgkvjdltCJEyc0duxY3XbbbRo3bpwkyePxaNCgQTp27JjN1QEAAFyc3wWsZ599VpWVlcrMzKy6JdioUSPFx8fr2Weftbk6AACAi/O7W4SbNm3S%2B%2B%2B/r6ZNm1Y95F6/fn09/vjjGjx4sM3VAQAAXJzf7WD99NNPio2NrTZev359FRcX21ARAADApfG7gNWyZUutX7%2B%2B2vjq1avVokULGyoCAAC4NH53i3DMmDGaNm2acnJyVFFRoTlz5sjtdmvnzp36/e9/b3d5AAAAF%2BV3O1i33367li1bpvLycv3617/W9u3b1axZM61atUr9%2BvWzuzwAAICL8rsdLJfLpW7duvH5VwAAIGD53Q7W6NGjVVFRYXcZAAAAl83vAtbAgQO1cuVKWZZldykAAACXxe9uER4/flwbNmzQyy%2B/rGuvvVbh4eE%2B86tWrbKpMgAAgJrxu4DldDqVnJxsdxkAAACXzW8C1qRJk7Ro0SLNmzevamzRokWaNGmSjVUBAABcOr95Bmvjxo3Vxv7rv/7rss%2B3Z88e3XffferUqZO6d%2B%2Bu9PR0eTweSdKWLVs0fPhwdezYUQMHDlR2drbP965cuVL9%2B/dXp06dlJqaqp07d152HQAAoO7xm4B1Lpf7oPvp06c1ZswY/eY3v9HWrVv1wQcfyOPxaPbs2fr%2B%2B%2B%2BVlpamUaNGaevWrZo5c6ZmzZpVFaI%2B%2BugjLVmyRPPnz9eWLVvUt29fjR8/XiUlJSaXBgAAgphfB6yzv%2Bz5UpWWlmry5Mn63e9%2Bp/DwcDVp0kT9%2B/fXV199pbVr16pFixYaPny46tWrp27duqlv377KysqSJGVmZmro0KFKSkpS/fr1NXbsWIWGhio3N9fgygAAQDDzm2ewTIqKitKIESOqvj506JCys7M1YMAAud1uxcfH%2Bxzfrl075eTkSJLcbrcGDBhQNRcSEqK4uDi5XC4NHDiwRtfPz8%2Bvuh15lsPR8Jy/xPofERbm1/m4GofD/%2Bs929NA660/o6fm0dPaQV/Nq8s9DcqAddaRI0fUv39/lZeXa9SoUZo0aZIefPBBNW3a1Oe46OhoFRQUSJK8Xq%2BioqJ85qOioqrma2L16tXKyMjwGUtLS6vzD%2Bw7nRF2l1BjkZEN7C4h6NBT8%2Bhp7aCv5tXFnvpNwPrpp580ZcqUi449//zzNT5ns2bN5HK5dOjQIT311FOaNm3aOY%2BzLOuCtyMvNv9zKSkp6tOnj8%2BYw9FQBQVmn%2BMKtHcEptdfG8LCQhUZ2UBFRaWqqKi0u5ygQE/No6e1g76a5w89tevNvd8ErE6dOik/P/%2BiY5cqJCRE119/vSZPnqxRo0YpOTlZXq/X5xiv1yun0ynpzOdw/Xy3qrCwUK1bt67xNWNjY6vdDvR4Tqq8vG7/wAbS%2BisqKgOq3kBAT82jp7WDvppXF3vqNwHr9ddfN3auLVu26N///d%2BVk5Oj0NAzuzxn/9u9e3f94Q9/8Dk%2BLy9PSUlJkqSEhAS53W7dfffdkqSKigrt2rVLw4cPN1YfAAAIboF1j6mGEhISVFRUpIULF6q0tFQnTpzQ4sWLdfPNN2vw4ME6cuSIMjMzVVZWpo0bN2rjxo0aOXKkJCk1NVXZ2dnasWOHSktLtXTpUoWHh6tXr172LgoAAASMoAxYUVFReuWVV%2BRyudS1a1cNHDhQjRo10gsvvKCrr75ay5Yt0zvvvKNu3brp%2Beef14IFCxQXFydJ6tmzpx599FHNmDFDPXr00F//%2BlctX75c9evXt3lVAAAgUIRYl/tpnrgkHs9J4%2Bd0OEJ128LNxs9bW3LSb7G7hItyOELldEaooKCkzj0vUFvoqXn0tHbQV/P8oacxMY1suW5Q7mABAADYiYAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADAvagHXkyBGlpaWpS5cu6tq1qx577DEVFRVJktxut%2B6991516tRJ/fr104oVK3y%2Bd%2B3atRo8eLA6dOigoUOHatOmTXYsAQAABKigDViPPPKIIiMjtWHDBq1Zs0Zff/21nnvuOZ06dUoPP/ywunbtqs2bN%2Bv3v/%2B9VqxYoXXr1kmSdu3apccff1xTp07VX/7yF40ZM0YTJ07U0aNHbV4RAAAIFEEZsIqKihQfH68pU6YoIiJCMTExGjJkiD7//HPl5uaqvLxc48ePV8OGDRUfH68RI0YoMzNTkpSVlaXk5GQlJyerXr16GjRokOLi4rRmzRqbVwUAAAKFw%2B4CakNkZKTmzZvnM/bdd98pNjZWbrdbbdu2VVhYWNVcu3bt9M4770g6c/swOTnZ53vbtWsnl8tV4%2Bvn5%2BfL4/H4jDkcDRUbG3upS7mgsLDAyscOh//Xe7angdZbf0ZPzaOntYO%2BmleXexqUAevnXC6X3nzzTS1dulQ5OTmKjIz0mY%2BOjpbX61VlZaW8Xq%2BioqJ85qOiorRv374aX2/16tXKyMjwGUtLS9OkSZMufxFBwOmMsLuEGouMbGB3CUGHnppHT2sHfTWvLvY06APWF198ofHjx2vKlCnq3r27cnJyqh1jWZZCQkIueJ6Lzf%2B9lJQU9enTx2fM4WiogoKSGp%2BjJgLtHYHp9deGsLBQRUY2UFFRqSoqKu0uJyjQU/Poae2gr%2Bb5Q0/tenOL9%2BpVAAARLUlEQVQf1AHr448/1tSpU/Xkk09qyJAhkqTGjRvr4MGDPscVFhYqOjpaoaGhcjqdKigo8Jn3er1yOp01vm5sbGy124Eez0mVl9ftH9hAWn9FRWVA1RsI6Kl59LR20Ffz6mJPA2sL5BJs27ZNjz32mF588cWqcCVJCQkJ2rt3r8rLy6vGXC6XkpKSqubz8vJ8zvX38wAAABcTlAGrvLxcM2fO1NSpU9WjRw%2BfueTkZF111VVaunSpSktL9eWXXyorK0upqamSpJEjR%2BrTTz9Vbm6uysrKlJWVpYMHD%2BrOO%2B%2B0YykAACAABeUtwh07dmj//v2aO3eu5s6d6zO3bt06vfTSS5ozZ45WrlypmJgYTZ48Wb169ZIktWnTRgsXLtQLL7ygw4cPq1WrVlq2bJliYmJsWAkAAAhEQRmwbr75Zu3du/eCx7z%2B%2BuvnnevXr5/69etnuiwAAFBHBOUtQgAAADsRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhQRuwNm/erO7du2vy5MnV5tauXavBgwerQ4cOGjp0qDZt2lQ1V1lZqeeff159%2B/ZV586dNXbsWB06dOhKlg4AAAJcUAasl19%2BWXPnztV1111XbW7Xrl16/PHHNXXqVP3lL3/RmDFjNHHiRB09elSS9Prrr%2BvDDz/U8uXLlZubqxtuuEETJkyQZVlXehkAACBAOewuoDbUq1dPWVlZevrpp1VWVuYzl5WVpeTkZCUnJ0uSBg0apNdff11r1qzRQw89pMzMTN1///1q2bKlJCk9PV1dunTRl19%2BqZtuuumKryWY3PH7LXaXcEly0m%2BxuwQAQIAKyoA1evTo88653e6qcHVWu3bt5HK5dOrUKe3bt0/x8fFVcxEREfr1r38tl8tV44CVn58vj8fjM%2BZwNFRsbOwlrOLiwsKCcgPSbzgc9NeEs69TXq/m0NPaQV/Nq8s9DcqAdSFer1dRUVE%2BY1FRUdq3b58KCwtlWdY55wsKCmp8jdWrVysjI8NnLC0tTZMmTbr8wnHFOZ0RdpcQVCIjG9hdQtChp7WDvppXF3ta5wLW%2BYSEhJx3zrKsC87/XEpKivr06eMz5nA0VEFByWXXdy518R3BlWT6/1ddFRYWqsjIBioqKlVFRaXd5QQFelo76Kt5/tBTu94s17mA5XQ6q%2B1Geb1eOZ1ORUdHKzQ0tNp8YWGhGjduXONrxMbGVrsd6PGcVHk5P7CBhP9fZlVUVNJTw%2Bhp7aCv5tXFnta5LZCEhATl5eX5jLlcLiUlJalevXpq3bq13G531VxRUZG%2B%2BeYbJSYmXulSAQBAgKpzAWvkyJH69NNPlZubq7KyMmVlZengwYO68847JUmpqal67bXXtH//fhUXF2vhwoVq166dbrzxRpsrBwAAgSIobxGeDUPl5eWSpI8%2B%2BkjSmZ2qNm3aaOHChXrhhRd0%2BPBhtWrVSsuWLVNMTIwkadSoUTp%2B/LjGjRunkpISdejQodoD6wAAABcSYvEJmleEx3PS%2BDkdjlDdtnCz8fPiDD4HywyHI1ROZ4QKCkrq3DMYtYWe1g76ap4/9DQmppEt161ztwgBAABqGwELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMc9hdAOCv7vj9FrtLuCQ56bfYXQIA4G/YwQIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAM43OwAFxxfMYYgGDHDtY5fPvttxo3bpy6dOmi3r1767nnnlNFRYXdZQEAgADBDtY5TJo0SQkJCXrhhRd04sQJPfTQQ2rSpInGjh1rd2kAbMCOG4BLxQ7Wz7hcLu3du1dTp05Vo0aNdN111%2BmBBx5QZmam3aUBAIAAwQ7Wz7jdbjVr1kxRUVFVY/Hx8Tpw4ICKi4t11VVXXfQc%2Bfn58ng8PmMOR0PFxsYarTUsjHyM/xdouyyoPQ4HfzdcjrN/pwbT3623Ldxsdwk19uept9pdglEErJ/xer2KjIz0GTsbtgoKCmoUsFavXq2MjAyfsQkTJmjixInmCtWZIHffNV8pJSXFeHirq/Lz87V69Wp6ahA9NY%2Be1o78/Hy9%2BuqKoOrr50/fbuv16/JrNXhiei2yLEuSFBISUqPjU1JS9O677/r8SUlJMV6Xx%2BNRRkZGtd0yXD56ah49NY%2Be1g76al5d7ik7WD/TuHFjFRQU%2BIwVFhYqJCRETqezRueIjY2tc0kdAAD8P3awfiYhIUHfffedTpw4UTXmcrnUqlUrRURE2FgZAAAIFASsn4mPj1diYqKef/55FRcXa//%2B/XrllVeUmppqd2kAACBAhM2ePXu23UX4m1tvvVU5OTl69tlntX79eg0ZMkRjx46t8TNYV1JERIR%2B85vfsLtmED01j56aR09rB301r672NMQ6%2BwQ3AAAAjOAWIQAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBKwA9O2332rcuHHq0qWLevfureeee04VFRV2l%2BX3Nm/erO7du2vy5MnV5tauXavBgwerQ4cOGjp0qDZt2lQ1V1lZqeeff159%2B/ZV586dNXbsWB06dOhKlu63jhw5orS0NHXp0kVdu3bVY489pqKiIkmS2%2B3Wvffeq06dOqlfv35asWKFz/deqOd12Z49e3TfffepU6dO6t69u9LT0%2BXxeCRJW7Zs0fDhw9WxY0cNHDhQ2dnZPt%2B7cuVK9e/fX506dVJqaqp27txpxxL82jPPPKO2bdtWfU1PL1/v3r2VkJCgG2%2B8serPnDlzJNFXSZKFgDNkyBBr5syZVlFRkXXw4EGrX79%2B1ooVK%2Bwuy68tX77c6tevnzVq1CgrPT3dZ87tdlsJCQlWbm6uderUKWvNmjVWYmKi9d1331mWZVkrV660evfube3bt88qLi625s6daw0aNMiqrKy0Yyl%2B5c4777RmzJhhFRcXW/n5%2BdawYcOsJ554wiotLbV69OhhLV682CopKbHcbrfVpUsXKycnx7Ksi/e8riorK7O6detmZWRkWGVlZZbH47Huuece65FHHrGOHTtmJSUlWZmZmdapU6esTz/91EpMTLS%2B/PJLy7Is689//rN18803Wzt27LBKS0utl19%2B2erevbtVXFxs86r8x65du6zOnTtbbdq0sSzLoqf/oI4dO1pffPFFtXH6egY7WAHG5XJp7969mjp1qho1aqTrrrtODzzwgDIzM%2B0uza/Vq1dPWVlZuu6666rNZWVlKTk5WcnJyapXr54GDRqkuLg4rVmzRpKUmZmp%2B%2B%2B/Xy1btlRERITS09N14MABffnll1d6GX6lqKhI8fHxmjJliiIiIhQTE6MhQ4bo888/V25ursrLyzV%2B/Hg1bNhQ8fHxGjFiRNXr9GI9r6tKS0s1efJk/e53v1N4eLiaNGmi/v3766uvvtLatWvVokULDR8%2BXPXq1VO3bt3Ut29fZWVlSTrzOh06dKiSkpJUv359jR07VqGhocrNzbV3UX6isrJSs2bN0n333Vc1Rk8vX0VFhUpKShQVFVVtjr6eQcAKMG63W82aNfN5UcfHx%2BvAgQMqLi62sTL/Nnr0aDVq1Oicc263W/Hx8T5j7dq1k8vl0qlTp7Rv3z6f%2BYiICP3617%2BWy%2BWq1Zr9XWRkpObNm6cmTZpUjX333XeKjY2V2%2B1W27ZtFRYWVjXXrl075eXlSbpwz%2BuyqKgojRgxQg6HQ5J06NAhZWdna8CAAeft2fl6GhISori4uDrf07NWrVql8PBw3XXXXVVj9PTyFRUVybIsLV68WD179tStt96qWbNmqaSkhL7%2BDQErwHi9XkVGRvqMnQ1bBQUFdpQU8Lxeb7V3YVFRUSooKFBhYaEsyzrvPP6fy%2BXSm2%2B%2BqfHjx5/zdRodHS2v16vKysoL9hxnnm1LSEhQ//79lZiYqEmTJp23p2d7Rk/P7/jx41q8eLFmzZrlM05PL9/p06fVvn17dezYUX/605/0yiuvaNu2bZo9ezZ9/RsCVhCwLEvSmXcBMOdC/bQsi37/nS%2B%2B%2BEJjx47VlClT1L1793MeU5Oe0dMzmjVrJpfLpXXr1unrr7/WtGnTznncxXrK6/SMefPmadiwYWrduvVFj6WnNdO0aVO9%2B%2B67Gj16tBo0aKBWrVpp6tSp%2BvDDD/XTTz9VO74u9pWAFWAaN25cLeUXFhYqJCRETqfTpqoCm9PprNZTr9crp9Op6OhohYaGnrPnjRs3vpJl%2Bq2PP/5YDz30kJ544gmNHj1a0vlfp2f7eaGe44yQkBBdf/31mjx5stauXSuHwyGv1%2BtzzN/37Fw9LSwsrPM93bp1q7Zv3660tLRqc06nk54a1Lx5c1VUVCg0NJS%2BioAVcBISEvTdd9/pxIkTVWMul0utWrVSRESEjZUFroSEhKpnA85yuVxKSkpSvXr11Lp1a7nd7qq5oqIiffPNN0pMTLzSpfqdbdu26bHHHtOLL76oIUOGVI0nJCRo7969Ki8vrxo729Oz8%2BfreV22ZcsW9e/fX5WVlVVjoaFn/pru3r17tZ7l5eX59PTvX6cVFRXatWtXne/pBx98oB9%2B%2BEG9evVSly5dNHToUElSly5d1KZNG3p6mfbs2aMFCxb4jO3fv1/h4eFKTk6mrxIf0xCIRowYYT3xxBPWyZMnrX379ll9%2BvSx3njjDbvLCgjTp0%2Bv9jENe/futW688Ubr448/tk6dOmVlZmZaHTp0sPLz8y3Lsqy33nrL6tWrl7Vv3z7r5MmT1pNPPmkNGzbMjvL9yk8//WTdcccd1qpVq6rNlZWVWb1797YWLVpk/fjjj9aOHTusm2%2B%2B2fr4448ty7p4z%2Bsqr9drde3a1XruueesH3/80frhhx%2BssWPHWvfcc491/Phxq0OHDtY777xjnTp1ysrNzbUSExOt3bt3W5ZlWRs3brQ6depkbd%2B%2B3frxxx%2BtxYsXW8nJyVZpaanNq7KX1%2Bu1jh49WvVn%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%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common7373481114073442537\">\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\">8.05</td>\n",
       "        <td class=\"number\">43</td>\n",
       "        <td class=\"number\">4.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">13.0</td>\n",
       "        <td class=\"number\">42</td>\n",
       "        <td class=\"number\">4.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">7.8958</td>\n",
       "        <td class=\"number\">36</td>\n",
       "        <td class=\"number\">4.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">7.75</td>\n",
       "        <td class=\"number\">33</td>\n",
       "        <td class=\"number\">3.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">26.0</td>\n",
       "        <td class=\"number\">31</td>\n",
       "        <td class=\"number\">3.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">10.5</td>\n",
       "        <td class=\"number\">24</td>\n",
       "        <td class=\"number\">2.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">7.925</td>\n",
       "        <td class=\"number\">18</td>\n",
       "        <td class=\"number\">2.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">7.775</td>\n",
       "        <td class=\"number\">16</td>\n",
       "        <td class=\"number\">1.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">26.55</td>\n",
       "        <td class=\"number\">15</td>\n",
       "        <td class=\"number\">1.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">0.0</td>\n",
       "        <td class=\"number\">15</td>\n",
       "        <td class=\"number\">1.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"other\">\n",
       "        <td class=\"fillremaining\">Other values (238)</td>\n",
       "        <td class=\"number\">614</td>\n",
       "        <td class=\"number\">69.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme7373481114073442537\">\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\">15</td>\n",
       "        <td class=\"number\">1.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4.0125</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5.0</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">6.2375</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">6.4375</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&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\">227.525</td>\n",
       "        <td class=\"number\">4</td>\n",
       "        <td class=\"number\">0.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">247.5208</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">0.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">262.375</td>\n",
       "        <td class=\"number\">2</td>\n",
       "        <td class=\"number\">0.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">263.0</td>\n",
       "        <td class=\"number\">4</td>\n",
       "        <td class=\"number\">0.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">512.3292</td>\n",
       "        <td class=\"number\">3</td>\n",
       "        <td class=\"number\">0.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:75%\">&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_Name\">Name<br/>\n",
       "            <small>Categorical, Unique</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3 collapse in\" id=\"minivalues-3669224008976866319\"><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>Mr. August Meyer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Master. Eugene Rice</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Mr. Lawrence Beesley</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minivalues-3669224008976866319\"><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>Mr. Austin Blyler van Billiard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Master. Henry Forbes Lefebre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Mrs. Charles Alexander (Alice Adelaide Slow) L...</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-3669224008976866319,#minivalues-3669224008976866319\" aria-expanded=\"false\"\n",
       "       aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 collapse\" id=\"values-3669224008976866319\">\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\">Capt. Edward Gifford Crosby</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Col. John Weir</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Col. Oberst Alfons Simonius-Blumer</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Don. Manuel E Uruchurtu</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Dr. Alfred Pain</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "    <p class=\"h4\">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\">Rev. Juozas Montvila</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Rev. Robert James Bateman</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Rev. Thomas Roussel Davids Byles</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">Sir. Cosmo Edmund Duff Gordon</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">the Countess. of (Lucy Noel Martha Dyer-Edwards) Rothes</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div><div class=\"row variablerow\">\n",
       "    <div class=\"col-md-3 namecol\">\n",
       "        <p class=\"h4 pp-anchor\" id=\"pp_var_Parents/Children Aboard\">Parents/Children Aboard<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>7</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>0.8%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>0.38331</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>6</td>\n",
       "                </tr>\n",
       "                <tr class=\"alert\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>76.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram2918278892144726819\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAARtJREFUeJzt3cEJwkAQQFEjlmQR9uTZnizCnta7yIcEYqK%2Bd1%2BYy2eSvew0xhgH4K3j1gPAnp22HuDV%2BXqffeZxu6wwCdggkAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCYXfPQC/h6WjWYoNA%2BIkN8ilzN5Ut9f1sEAgCgSAQCAKB4Cd9Z5ZcWc%2B15PLgX6/SpzHG2HoI2CufWBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBCeJpIXlS2QVCEAAAAASUVORK5CYII%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives2918278892144726819,#minihistogram2918278892144726819\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives2918278892144726819\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles2918278892144726819\"\n",
       "                                                  aria-controls=\"quantiles2918278892144726819\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram2918278892144726819\" aria-controls=\"histogram2918278892144726819\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common2918278892144726819\" aria-controls=\"common2918278892144726819\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme2918278892144726819\" aria-controls=\"extreme2918278892144726819\"\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=\"quantiles2918278892144726819\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>6</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>6</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>0</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>0.80747</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>2.1065</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>9.7231</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>0.38331</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.58253</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>2.7412</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>340</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>0.652</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>7.0 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=\"histogram2918278892144726819\">\n",
       "            <img 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tTz549tXjxYiUkJEiSRo0apQcffFBz5syR0%2BnUgAEDtHLlSoWHh1t8VQAAwF8Eud1ut9VDdARO52njx7TZgvWTJduMH7etlGZf3%2B7ntNmCZbdHqqKiJmBuO5tEPt6RkXdk1DLy8a4tM4qLizJ6vNYKyEeEAAAAVqJgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGOZzBev06dNWjwAAAHBRfK5gjRw5Uo888ojef/99q0cBAAC4ID5XsP7t3/5NJ0%2Be1D333KNbbrlFq1ev1qlTp6weCwAAoNV8rmBNnDhRq1at0ttvv62f/exneuuttzR69Gjl5ORox44dVo8HAADglc8VrLM6d%2B6sn//853rttdeUl5end955R9OmTdO4ceP01ltvWT0eAADA97JZPcD3OXXqlN5880396U9/0hdffKHrr79eaWlpKi8v1%2BOPP66jR4/q3nvvtXpMAACAZnyuYG3btk1FRUXavHmzYmNjdccdd2jKlCnq0aNH0z4DBgxQZmYmBQsAAPgknytYv/zlLzV06FAtWbJE//qv/yqbrfmIAwcOVFRUlAXTAQAAeOdzBWvjxo26/PLLVVdX11Suqqurdemll3rs95e//MWK8QAAALzyuTe5BwcHa9y4cdq8eXPT2htvvKFx48bp8OHDF3TMJ598Uv369Wv6/fbt25WamqrBgwdr/PjxKikp8di/oKBAKSkpGjJkiNLT0/XJJ59c2MUAAIAOyecK1hNPPKF%2B/fppyJAhTWu33XabBg4cqLy8vPM%2B3p49ezwK1PHjx5WZmampU6dqx44dmjt3rnJzc5tK1KZNm7Rs2TItWrRI27dv19ixY5WRkaGampqLvzgAANAh%2BFzB%2BvDDD/Xkk08qLi6uaa1Lly56/PHH9cEHH5zXsRobG5Wbm6u77767aW39%2BvXq1auXUlNTFRYWpuHDh2vs2LEqLi6WJBUVFWny5MkaNGiQwsPDNX36dAUHB2vLli1Grg8AAAQ%2Bn3sPltvtVl1dnTp16uSxXl1drYaGhvM61uuvv67Q0FDdfvvtev755yVJZWVlSkxM9Nivf//%2BKi0tbdo%2Bbty4pm1BQUFKSEiQw%2BHQ%2BPHjW3Xe8vJyOZ1OjzWbLULx8fHnNb83ISE%2B149bZLO1/7xnM/K3rNoL%2BXhHRt6RUcvIx7tAzMjnCtYNN9ygRx55RNnZ2erZs6caGxv12Wef6T/%2B4z80evToVh/nxIkTWrp0qV5%2B%2BWWPdZfLpa5du3qsxcbGqqKioml7TEyMx/aYmJim7a1RWFio/Px8j7XMzExlZWW1%2BhiByG6PtOzc0dGdvO/UgZGPd2TkHRm1jHy8C6SMfK5gPfbYY8rMzNTEiRMVFBTUtH7NNdcoNze31cfJy8vTHXfcob59%2B%2BrIkSMt7ut2uz3Odb7bvystLU1jxozxWLPZIlRRYfZ9XP7W9E1ff2uEhAQrOrqTqqpq1dDQ2O7n93Xk4x0ZeUdGLSMf79oyI6u%2Bufe5gnXZZZfp9ddf1969e3Xo0CGFhIToiiuuUJ8%2BfVp9jB07dujDDz/UwoULm22z2%2B1yuVweay6XS3a7vWn7d%2B9WVVZWqm/fvq0%2Bf3x8fLPHgU7nadXXd%2BwXlpXX39DQ2OHzbwn5eEdG3pFRy8jHu0DKyOcK1lkJCQlKSEi4oK9du3atTp482fRI0e12S5KGDh2qadOmaf369R7779q1S4MGDZIkJSUlqaysTJMmTZIkNTQ0aPfu3UpNTb3AKwEAAB2NzxUsh8OhhQsX6n//93/19ddfN9u%2BZ88er8eYM2eOfvOb3zT9/tixY0pLS9OaNWvU2NioFStWqKioSLfddpvee%2B89bd26VYWFhZKk9PR0Pfjgg7r11lvVr18//dd//ZdCQ0PP6/1fAACgY/O5gjVv3jxFRERo5syZioiIuKBjxMTEeLxRvb6%2BXpLUrVs3SdKKFSu0aNEi5eXlqWfPnlq8eHHT3bJRo0bpwQcf1Jw5c%2BR0OjVgwACtXLlS4eHhF3llAACgo/C5gnXw4EG98847zX40zsXo2bOn9u3b1/T7a6%2B9VkVFRd%2B7/09/%2BlP99Kc/NXZ%2BAADQsfjcX0Pr3r271SMAAABcFJ8rWDk5OXryySdVXV1t9SgAAAAXxOceES5fvlxHjhxRSUmJYmNjFRzs2QHfeecdiyYDAABoHZ8rWN/9gE4AAAB/43MFa8aMGVaPAAAAcFF87j1YkrRz50498sgj%2BsUvfiFJamxs1F/%2B8heLpwIAAGgdnytYGzZs0C9%2B8QtVVlbqo48%2BkvTtB4Xm5uaquLjY4ukAAAC887mCtWLFCi1ZskQvvPBC0w9Y7t69u55//nm99NJLFk8HAADgnc8VrC%2B%2B%2BEI33XSTJDUVLOnbnyN45MgRq8YCAABoNZ8rWHa7XadOnWq2fuDAAX5cDQAA8As%2BV7CGDRum3/72t9q/f78kyeVy6Z133lF2djY/cBkAAPgFnytYjzzyiGprazV%2B/HidOXNGw4cP13333acePXpozpw5Vo8HAADglc99DlZsbKxeeeUV7d27V59//rnCw8PVq1cv9erVy%2BrRAAAAWsXnCtZZCQkJSkhIsHoMAACA8%2BZzBSshIcHjbw9%2B1549e9pxGgAAgPPncwUrNzfXo2A1NDTowIEDevvtt5WRkWHhZAAAAK3jcwUrPT39nOv/8z//o8LCQk2aNKmdJwIAADg/Pve3CL/Ptddeq61bt1o9BgAAgFd%2BU7A2b94sm83nbrgBAAA043ONZeTIkc3Wzpw5o%2Brq6u99fAgAAOBLfK5gpaWlNftbhGFhYerdu7fGjBlj0VQAAACt53MFa%2BbMmVaPAAAAcFF8rmDl5%2Be3ar%2BgoCBlZma28TQAAADnz%2BcK1p///GedOHFCZ86cUadOnWSz2XT69GmFh4fr0ksv9diXggUAAHyRzxWsWbNm6W9/%2B5seeughdevWTZJ0%2BPBhLV68WLfccotuueUWiycEAABomc8VrOeee05vvPGGYmJimtZ%2B8IMfaP78%2BUpLS6NgAQAAn%2Bdzn4P11VdfKSQkpNn6JZdcohMnTlgwEQAAwPnxuYLVt29fPfLIIyorK1NVVZWqq6u1d%2B9ePfbYY%2BrXr5/V4wEAAHjlc48IFyxYoFmzZumOO%2B5o%2Bjwst9ut7t276z//8z8tng4AAMA7nytYiYmJKi0t1a5du/TVV1/J7XarW7duSkpKUnCwz91wAwAAaMbnCtZZMTExOn36tIYPH271KAAAAOfF524JnTp1StOnT9dPfvIT3X///ZIkp9OpW2%2B9VceOHbN4OgAAAO98rmA99dRTamxsVFFRUdMjwaioKCUmJuqpp56yeDoAAADvfO4R4dtvv601a9aoa9euTW9yDw8P16OPPqoJEyZYPB0AAIB3PncH65tvvlF8fHyz9fDwcFVXV7f6OHv37tXdd9%2BtIUOGaMSIEcrOzpbT6ZQkbd%2B%2BXampqRo8eLDGjx%2BvkpISj68tKChQSkqKhgwZovT0dH3yyScXd1EAAKBD8bmC1bt3b7311lvN1gsLC9WrV69WHaOurk7Tpk3Tddddpx07dmjt2rVyOp2aP3%2B%2Bjh8/rszMTE2dOlU7duzQ3LlzlZub21SiNm3apGXLlmnRokXavn27xo4dq4yMDNXU1Bi9TgAAELh8rmBNmzZNDz30kLKzs9XQ0KAFCxZo6tSpWrRokTIyMlp1jNraWuXk5OhXv/qVQkND1aVLF6WkpOjTTz/V%2BvXr1atXL6WmpiosLEzDhw/X2LFjVVxcLEkqKirS5MmTNWjQIIWHh2v69OkKDg7Wli1b2vCqAQBAIPG592DdfPPNiomJ0auvvqof/vCH%2BvDDD9WrVy899thjGjhwYKuOERMTozvvvLPp94cOHVJJSYnGjRunsrIyJSYmeuzfv39/lZaWSpLKyso0bty4pm1BQUFKSEiQw%2BHQ%2BPHjW3X%2B8vLypseRZ9lsEed89HkxQkJ8rh%2B3yGZr/3nPZuRvWbUX8vGOjLwjo5aRj3eBmJHPFSyHw6Hhw4cb%2Bfyro0ePKiUlRfX19Zo6daqysrJ03333qWvXrh77xcbGqqKiQpLkcrk8ftC09G1hO7u9NQoLC5Wfn%2B%2BxlpmZqaysrAu8ksBgt0dadu7o6E6WndsfkI93ZOQdGbWMfLwLpIx8rmDdddddev/998/5A5/PV48ePeRwOHTo0CE9/vjjeuihh865n9vtbvobixey/bvS0tI0ZswYjzWbLUIVFWbfx%2BVvTd/09bdGSEiwoqM7qaqqVg0Nje1%2Bfl9HPt6RkXdk1DLy8a4tM7Lqm3ufK1jjx49XQUGBpk2bdl6l5vsEBQXpiiuuUE5OjqZOnark5GS5XC6PfVwul%2Bx2uyTJbrc3u1tVWVmpvn37tvqc8fHxzR4HOp2nVV/fsV9YVl5/Q0Njh8%2B/JeTjHRl5R0YtIx/vAikjnytYJ06c0ObNm/Xiiy%2Bqe/fuCg0N9dj%2B%2Buuvez3G9u3b9e///u8qLS1t%2BrDSs/8cMWKE/vSnP3nsv2vXLg0aNEiSlJSUpLKyMk2aNEmS1NDQoN27dys1NfWirw0AAHQMPveMyW63Kzk5WTfeeKP69eunXr16efxqjaSkJFVVVWnJkiWqra3VqVOntHTpUl1zzTWaMGGCjh49qqKiIp05c0Zbt27V1q1bNWXKFElSenq6SkpK9NFHH6m2tlbLly9XaGioRo8e3YZXDQAAAonP3MHKysrS888/r7y8vKa1559//oLeGB4TE6PVq1friSee0LBhwxQREaFhw4bpiSee0GWXXaYVK1Zo0aJFysvLU8%2BePbV48WIlJCRIkkaNGqUHH3xQc%2BbMkdPp1IABA7Ry5UqFh4cbu1YAABDYgtxut9vqISRp0KBB%2Bvjjj72u%2BSun87TxY9pswfrJkm3Gj9tWSrOvb/dz2mzBstsjVVFREzDP9U0iH%2B/IyDsyahn5eNeWGcXFRRk9Xmv53CPCf%2BYj3Q8AAOC8%2BHTBMvG3CAEAANqbTxcsAAAAf0TBAgAAMMxn/hbhN998o1mzZnlde%2BaZZ9pzLAAAgPPmMwVryJAhKi8v97oGAADg63ymYL3yyitWjwAAAGAE78ECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAsIAtWEePHlVmZqaGDh2qYcOG6eGHH1ZVVZUkqaysTD//%2Bc81ZMgQ3XTTTVq1apXH165fv14TJkzQ1VdfrcmTJ%2Bvtt9%2B24hIAAICfCtiC9cADDyg6OlqbN2/WunXr9Pnnn%2Bvpp5/W119/rV//%2BtcaNmyYtm3bpt/97ndatWqVNm7cKEnavXu3Hn30Uc2ePVvvvfeepk2bppkzZ%2Bqrr76y%2BIoAAIC/CMiCVVVVpcTERM2aNUuRkZGKi4vTxIkT9f7772vLli2qr69XRkaGIiIilJiYqDvvvFNFRUWSpOLiYiUnJys5OVlhYWG69dZblZCQoHXr1ll8VQAAwF8EZMGKjo5WXl6eunTp0rT25ZdfKj4%2BXmVlZerXr59CQkKatvXv31%2B7du2S9O3jw8TERI/j9e/fXw6Ho32GBwAAfs9m9QDtweFw6NVXX9Xy5ctVWlqq6Ohoj%2B2xsbFyuVxqbGyUy%2BVSTEyMx/aYmBh99tlnrT5feXm5nE6nx5rNFqH4%2BPgLv4hzCAnxr35ss7X/vGcz8res2gv5eEdG3pFRy8jHu0DMKOAL1gcffKCMjAzNmjVLI0aMUGlpabN93G63goKCWjyOt%2B3/rLCwUPn5%2BR5rmZmZysrKavUxApHdHmnZuaOjO1l2bn9APt6RkXdk1DLy8S6QMgrogvX3v/9ds2fP1rx58zRx4kRJUufOnXXw4EGP/SorKxUbG6vg4GDZ7XZVVFR4bHe5XLLb7a0%2Bb1pamsaMGeOxZrNFqKKi5sIu5Hv4W9M3ff2tERISrOjoTqqqqlVDQ2O7n9/XkY9T4bybAAAOmUlEQVR3ZOQdGbWMfLxry4ys%2BuY%2BYAvWzp079fDDD%2Bu5557TyJEjm9aTkpL02muvqb6%2BXjbbt5fvcDg0aNCgpu1n3491lsPh0Pjx41t97vj4%2BGaPA53O06qv79gvLCuvv6GhscPn3xLy8Y6MvCOjlpGPd4GUkX/dAmml%2Bvp6zZ07V7Nnz/YoV5KUnJysSy%2B9VMuXL1dtba0%2B/vhjFRcXKz09XZI0ZcoUvfvuu9qyZYvOnDmj4uJiHTx4ULfddpsVlwIAAPxQQN7B%2Buijj7R//34tXLhQCxcu9Ni2ceNGvfDCC1qwYIEKCgoUFxennJwcjR49WpJ05ZVXasmSJXr22Wd15MgR9enTRytWrFBcXJwFVwIAAPxRQBasa665Rvv27Wtxn1deeeV7t91000266aabTI8FAAA6iIB8RAgAAGAlChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwzGb1AOg4bvnddqtHOC%2Bl2ddbPQIAwE9xBwsAAMAwChYAAIBhAVuwtm3bphEjRignJ6fZtvXr12vChAm6%2BuqrNXnyZL399ttN2xobG/XMM89o7NixuvbaazV9%2BnQdOnSoPUcHAAB%2BLiAL1osvvqiFCxfq8ssvb7Zt9%2B7devTRRzV79my99957mjZtmmbOnKmvvvpKkvTKK69ow4YNWrlypbZs2aIf/ehHmjFjhtxud3tfBgAA8FMBWbDCwsJUXFx8zoJVXFys5ORkJScnKywsTLfeeqsSEhK0bt06SVJRUZHuuece9e7dW5GRkcrOztaBAwf08ccft/dlAAAAPxWQBeuuu%2B5SVFTUObeVlZUpMTHRY61///5yOBz6%2Buuv9dlnn3lsj4yM1A9/%2BEM5HI42nRkAAASODvcxDS6XSzExMR5rMTEx%2Buyzz1RZWSm3233O7RUVFa0%2BR3l5uZxOp8eazRah%2BPj4Cx/8HEJCArIf%2BwybLfDzPftniD9L34%2BMvCOjlpGPd4GYUYcrWN8nKCjoe7e53e4Wt39XYWGh8vPzPdYyMzOVlZV1wfOh/dntkVaP0G6ioztZPYLPIyPvyKhl5ONdIGXU4QqW3W5vdjfK5XLJbrcrNjZWwcHBzbZXVlaqc%2BfOrT5HWlqaxowZ47Fms0WooqLmwgc/h0Bq%2Br7I9L8vXxQSEqzo6E6qqqpVQ0Oj1eP4JDLyjoxaRj7etWVGVn2z3OEKVlJSknbt2uWx5nA4NH78eIWFhalv374qKyvTddddJ0mqqqrSF198oYEDB7b6HPHx8c0eBzqdp1VfzwvLn3Skf18NDY0d6novBBl5R0YtIx/vAimjDncLZMqUKXr33Xe1ZcsWnTlzRsXFxTp48KBuu%2B02SVJ6erpefvll7d%2B/X9XV1VqyZIn69%2B%2Bvq666yuLJAQCAvwjIO1hny1B9fb0kadOmTZK%2BvVN15ZVXasmSJXr22Wd15MgR9enTRytWrFBcXJwkaerUqTpx4oTuv/9%2B1dTU6Oqrr272fioAAICWBLn5BM124XSeNn5Mmy1YP1myzfhx8a2O8MOebbZg2e2RqqioCZjb8qaRkXdk1DLy8a4tM4qLO/fHNrW1DveIEAAAoK1RsAAAAAyjYAEAABgWkG9yBzqiW3633eoRWq0jvL8NQMfGHSwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMArWORw%2BfFj333%2B/hg4dqhtvvFFPP/20GhoarB4LAAD4CQrWOWRlZalbt27atGmTCgoKtHnzZhUUFFg9FgAA8BM2qwfwNQ6HQ/v27VNBQYGioqIUFRWle%2B%2B9VwUFBZo%2BfbrV4wGwwDW/3Wj1CAGrNPt6q0c4L7f8brvVI5wXf8s3kFCwvqOsrEw9evRQTExM01piYqIOHDig6upqXXrppV6PUV5eLqfT6bFms0UoPj7e6KwhIdyAbEs2G/m2FX/KltdZ2/KnPwv%2ByF/yPfs6C6TXGwXrO1wul6Kjoz3WzpatioqKVhWswsJC5efne6zNmDFDM2fONDeovi1yd3f7VGlpacbLW6AoLy9XYWFhh8jo/SduPu%2Bv6Uj5XCheZ951pD9HvM7aRnl5uV56aVVAZRQ4VbENud1uSVJQUFCr9k9LS9Obb77p8SstLc34XE6nU/n5%2Bc3uluH/IaOWkY93ZOQdGbWMfLwLxIy4g/UdnTt3VkVFhcdaZWWlgoKCZLfbW3WM%2BPj4gGngAADg/HEH6zuSkpL05Zdf6tSpU01rDodDffr0UWRkpIWTAQAAf0HB%2Bo7ExEQNHDhQzzzzjKqrq7V//36tXr1a6enpVo8GAAD8RMj8%2BfPnWz2Er7nhhhtUWlqqp556Sm%2B99ZYmTpyo6dOnt/o9WO0pMjJS1113HXfXWkBGLSMf78jIOzJqGfl4F2gZBbnPvoMbAAAARvCIEAAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwCpYfOnz4sO6//34NHTpUN954o55%2B%2Bmk1NDRYPZbP2bZtm0aMGKGcnByrR/FJR48eVWZmpoYOHaphw4bp4YcfVlVVldVj%2BZS9e/fq7rvv1pAhQzRixAhlZ2fL6XRaPZZPevLJJ9WvXz%2Brx/A5N954o5KSknTVVVc1/VqwYIHVY/mc5cuXa%2BTIkfrxj3%2Bse%2B65R4cPH7Z6pItGwfJDWVlZ6tatmzZt2qSCggJt3rxZBQUFVo/lU1588UUtXLhQl19%2BudWj%2BKwHHnhA0dHR2rx5s9atW6fPP/9cTz/9tNVj%2BYy6ujpNmzZN1113nXbs2KG1a9fK6XSKH9/a3J49e1RSUmL1GD6pqqpKL7/8shwOR9OvefPmWT2WT3n11VdVUlKil156Sdu2bVPv3r0D4v9pFCw/43A4tG/fPs2ePVtRUVG6/PLLde%2B996qoqMjq0XxKWFiYiouLKVjfo6qqSomJiZo1a5YiIyMVFxeniRMn6v3337d6NJ9RW1urnJwc/epXv1JoaKi6dOmilJQUffrpp1aP5lMaGxuVm5uru%2B%2B%2B2%2BpRfE5DQ4NqamoUExNj9Sg%2B7fe//71ycnLUu3dvRUVFad68eQFRQilYfqasrEw9evTweMEmJibqwIEDqq6utnAy33LXXXcpKirK6jF8VnR0tPLy8tSlS5emtS%2B//FLx8fEWTuVbYmJidOedd8pms0mSDh06pJKSEo0bN87iyXzL66%2B/rtDQUN1%2B%2B%2B1Wj%2BJzqqqq5Ha7tXTpUo0aNUo33HCDcnNzVVNTY/VoPuP48eM6cuSIqqurNW7cOA0dOlRZWVk6deqU1aNdNAqWn3G5XIqOjvZYO1u2KioqrBgJAcDhcOjVV19VRkaG1aP4nKNHjyopKUkpKSkaOHCgsrKyrB7JZ5w4cUJLly5Vbm6u1aP4pLq6Og0YMECDBw/WX//6V61evVo7d%2B7kMfM/OXbsmCSptLRUq1ev1po1a1ReXq7HH3/c4skuHgUrALjdbklSUFCQxZPAH33wwQeaPn26Zs2apREjRlg9js/p0aOHHA6HNm7cqM8//1wPPfSQ1SP5jLy8PN1xxx3q27ev1aP4pK5du%2BrNN9/UXXfdpU6dOqlPnz6aPXu2NmzYoLq6OqvH8wln//913333qWvXrurWrZtmzJihv/3tbzpz5ozF010cCpaf6dy5c7M7VZWVlQoKCpLdbrdoKvirv//97/rlL3%2Bpxx57THfddZfV4/isoKAgXXHFFcrJydH69esD4vHFxdqxY4c%2B/PBDZWZmWj2KX%2BnZs6caGhp08uRJq0fxCWffpvDPT2a6d%2B%2BuxsZGv8%2BIguVnkpKS9OWXX3r8B97hcKhPnz6KjIy0cDL4m507d%2Brhhx/Wc889p4kTJ1o9js/Zvn27UlJS1NjY2LQWHPztfzLPvi%2BrI1u7dq1Onjyp0aNHa%2BjQoZo8ebIkaejQodqwYYPF0/mGvXv3avHixR5r%2B/fvV2hoKO93/P9169ZNnTt31p49e5rWjh49qksuucTvM6Jg%2BZnExEQNHDhQzzzzjKqrq7V//36tXr1a6enpVo8GP1JfX6%2B5c%2Bdq9uzZGjlypNXj%2BKSkpCRVVVVpyZIlqq2t1alTp7R06VJdc801zd4H2RHNmTNHf/3rX7VmzRqtWbNGK1eulCStWbNGY8aMsXg632C32/XHP/5Rq1atUl1dnQ4cOKClS5dq6tSpCgkJsXo8n2Cz2ZSWlqYXXnhBhw4d0smTJ7Vs2TJNmDDB77%2BRCXKffQAKv3Hs2DHNnz9fO3fuVFRUlCZOnKgZM2bwHqx/ctVVV0n6tkhI/%2B%2BOg8PhsGwmX/L%2B%2B%2B/rZz/7mUJDQ5tt27hxo3r06GHBVL5n7969euKJJ/TJJ58oIiJCw4YN05w5c9S1a1erR/M5R44c0dixY7Vv3z6rR/Ep//jHP7R48WJ9%2Bumnstvtuvnmm5WdnX3O115HVVdXp7y8PG3YsEHffPONUlJSNG/ePL9/KkPBAgAAMIxHhAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABg2P8HI7nDIuwuZu0AAAAASUVORK5CYII%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common2918278892144726819\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">674</td>\n",
       "        <td class=\"number\">76.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">118</td>\n",
       "        <td class=\"number\">13.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:18%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">80</td>\n",
       "        <td class=\"number\">9.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">5</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\">3</td>\n",
       "        <td class=\"number\">5</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</td>\n",
       "        <td class=\"number\">4</td>\n",
       "        <td class=\"number\">0.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">6</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme2918278892144726819\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">674</td>\n",
       "        <td class=\"number\">76.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">118</td>\n",
       "        <td class=\"number\">13.3%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:18%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">80</td>\n",
       "        <td class=\"number\">9.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">5</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</td>\n",
       "        <td class=\"number\">4</td>\n",
       "        <td class=\"number\">0.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "            <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</td>\n",
       "        <td class=\"number\">80</td>\n",
       "        <td class=\"number\">9.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">5</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">4</td>\n",
       "        <td class=\"number\">0.5%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">5</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">6</td>\n",
       "        <td class=\"number\">1</td>\n",
       "        <td class=\"number\">0.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&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_Pclass\">Pclass<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>3</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>0.3%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>2.3055</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>1</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>3</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-8666654728043424726\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAAQtJREFUeJzt3MEJAkEQAEEVQzIIc/JtTgZhTmMC0qAgt5xV/4X5NDOvPc7MHIC3TlsPACs7bz0A%2B3W5PT5%2B87xffzDJ92wQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCMv9rLiH3/jYDxsEgkAgLHdi/Tsn5lpsEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIx5mZrYeAVdkgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEF7/3RGT0dEIxAAAAABJRU5ErkJggg%3D%3D\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-8666654728043424726,#minihistogram-8666654728043424726\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-8666654728043424726\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-8666654728043424726\"\n",
       "                                                  aria-controls=\"quantiles-8666654728043424726\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-8666654728043424726\" aria-controls=\"histogram-8666654728043424726\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-8666654728043424726\" aria-controls=\"common-8666654728043424726\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-8666654728043424726\" aria-controls=\"extreme-8666654728043424726\"\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-8666654728043424726\">\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>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>2</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>1</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>0.83666</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>0.36289</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>-1.2886</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>2.3055</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.76259</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>-0.62341</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>2045</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>0.7</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>7.0 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-8666654728043424726\">\n",
       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzt3XtcVXW%2B//E3lwMECmwnsUm7WJqAqONtRHPCtKS8jZmJNGWlk2UER9LSytJSo0lsKi0vdY5mZ6YIaqycbJxyvGR2zskyN5gdNfNWCQYbxAgF1u8PH%2B5fW1Q29YW99/L1fDx8%2BPC7Fmt/3i2XvVlrA0GWZVkCAACAMcG%2BHgAAAMBuKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwLBQXw9wrigpOWL8mMHBQWrVKkqlpUdVV2cZP76v2DWXZN9sds0lkS0Q2TWXZN9sTZmrdeuWRo/nLe5gBbDg4CAFBQUpODjI16MYZddckn2z2TWXRLZAZNdckn2z2TEXBQsAAMAw2xasq6%2B%2BWklJSerSpYv71%2BzZsyVJmzZt0ujRo9WjRw8NHTpUK1eu9PjY5cuXKzU1VT179lR6erq2bdvmiwgAACBA2fY9WBUVFVqxYoV69OjhsX7o0CFlZGRoxowZGj58uD799FPdfffduuyyy9S1a1e9//77ev755/XSSy%2BpU6dO%2Bq//%2Bi9NmjRJa9asUVRUlI/SAACAQGLLO1i1tbU6evSoYmJi6m1btWqV2rdvr9GjRys8PFx9%2B/bVoEGDVFBQIEnKz8/XqFGj1K1bN0VERGjChAkKDg7WunXrmjkFAAAIVLa8g1VRUSHLsrRgwQJ9%2BumnsixLAwcO1AMPPKCioiIlJiZ67J%2BQkKDVq1dLkoqKijRkyBD3tqCgIMXHx8vpdGro0KFevX5xcbFKSko81kJDIxUXF/cLk3kKCQn2%2BN0u7JpLsm82u%2BaSyBaI7JpLsm82O%2BayZcE6duyYOnfurB49eignJ0cHDx5Udna2Zs2aJZfLpTZt2njsHxsbq7KyMkmSy%2BWqd%2BcrJibGvd0beXl5WrhwocdaRkaGsrKyfmais4uOPq9Jjutrds0l2TebXXNJZAtEds0l2TebnXLZsmC1adNGb775pvvPHTp00NSpUzVp0iT17Nmz3v6WZSko6MxfGtrQ9lOlpaVp4MCBHmuhoZEqKzvq9TG8ERISrOjo81RRUaXa2jqjx/Ylu%2BaS7JvNrrkksgUiu%2BaS7JutKXM5HL55/7QtC9bptGvXTrW1tQoODpbL5fLY5nK55HA4JEkOh6Pe3ary8nJ17NjR69eKi4ur9ziwpOSIamqa5mKora1rsmP7kl1zSfbNZtdcEtkCkV1zSfbNZqdc9nnY%2BRM7duzQvHnzPNZ2796tsLAwpaSkqLCw0GNbYWGhunXrJklKSkpSUVGRe1ttba22b9/u3g4AANAQWxYsh8Ohv/71r3rppZd07Ngx7dmzRwsWLNDYsWP1%2B9//XgcPHlR%2Bfr6qq6u1fv16rV%2B/XmPGjJEkpaena%2BXKldq6dauqqqq0aNEihYWFacCAAb4NBQAAAoYtHxG2adNGS5cu1bx58/T888/L4XDouuuu0%2BTJkxUWFqYlS5boqaeeUk5Ojtq1a6d58%2BYpPj5eknTVVVfpvvvu0/Tp01VSUqLOnTtr6dKlioiI8HEqAAAQKIIsy7LPT4v0Y03xw55DQ4PlcESprOyobZ5ZS/bNJdk3m11zSWQLRHbNJdk3W1Pm4oc9AwAA2IQtHxECAADp%2Bmc2%2BXoEr30y9zpfj2AUd7AAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMOycK1hNPPKFOnTq5/7xp0yaNHj1aPXr00NChQ7Vy5UqP/ZcvX67U1FT17NlT6enp2rZtW3OPDAAAApjtC9YXX3zhUaAOHTqkjIwMjR07Vps3b9aMGTM0c%2BZMd4l6//339fzzz%2Bupp57Spk2bNGjQIE2aNElHjx71VQQAABBgbF2w6urqNHPmTN12223utVWrVql9%2B/YaPXq0wsPD1bdvXw0aNEgFBQWSpPz8fI0aNUrdunVTRESEJkyYoODgYK1bt85HKQAAQKCxdcF67bXXFBYWpt///vfutaKiIiUmJnrsl5CQoMLCwtNuDwoKUnx8vJxOZ/MMDQAAAl6orwdoKocPH9aCBQu0YsUKj3WXy6U2bdp4rMXGxqqsrMy9PSYmxmN7TEyMe7s3iouLVVJS4rEWGhqpuLi4xkRoUEhIsMfvdmHXXJJ9s9k1l0S2QGTXXJK9s0n2ymXbgpWTk6Mbb7xRHTt21IEDB866r2VZCgoK%2BtnbT5WXl6eFCxd6rGVkZCgrK8vrYzRGdPR5TXJcX7NrLsm%2B2eyaSyJbILJrLsm%2B2eyUy5YFa/Pmzfrss880Z86cetscDodcLpfHmsvlksPhcG8/9W5VeXm5Onbs6PXrp6WlaeDAgR5roaGRKisz%2B0b5kJBgRUefp4qKKtXW1hk9ti/ZNZdk32x2zSWRLRDZNZdk72ySmiSXwxFl9HjesmXBevvtt/X9999rwIABkk7cgZKkPn36aPz48Vq1apXH/oWFherWrZskKSkpSUVFRbrhhhskSbW1tdq%2BfbtGjx7t9evHxcXVexxYUnJENTVNczHU1tY12bF9ya65JPtms2suiWyByK65JPtms1Mu%2Bzzs/Inp06frH//4h9566y299dZbWrp0qSTprbfe0vDhw3Xw4EHl5%2Berurpa69ev1/r16zVmzBhJUnp6ulauXKmtW7eqqqpKixYtUlhYmLusAQAANMSWd7BiYmI83qheU1MjSbrgggskSUuWLNFTTz2lnJwctWvXTvPmzVN8fLwk6aqrrtJ9992n6dOnq6SkRJ07d9bSpUsVERHR/EEAAEBAsmXBOlW7du305Zdfuv/cu3dv5efnn3H/m2%2B%2BWTfffHNzjAYAAGzIlo8IAQAAfImCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgmN8VrCNHjvh6BAAAgF/E7wpW//79NW3aNH3yySe%2BHgUAAOBn8buC9dhjj%2Bn777/X7bffruuvv17Lli1TaWmpr8cCAADwmt8VrJEjR%2Bqll17Shg0b9Ic//EFr1qzRgAEDlJ2drc2bN/t6PAAAgAb5XcE6qVWrVrrlllv06quvKicnRx9%2B%2BKHGjx%2BvIUOGaM2aNb4eDwAA4IxCfT3AmZSWlurNN9/UG2%2B8oX379unKK69UWlqaiouL9eijj%2BrgwYO64447fD0mAABAPX5XsDZu3Kj8/HytXbtWsbGxuvHGGzVmzBi1bdvWvU/nzp2VkZFBwQIAAH7J7wrWxIkT1adPH%2BXm5uqaa65RaGj9Ebt27aqWLVv6YDoAAICG%2BV3Beu%2B993TJJZfo2LFj7nJVWVmpFi1aeOz37rvv%2BmI8AACABvndm9yDg4M1ZMgQrV271r32%2Buuva8iQIdq/f78PJwMAAPCO3xWsuXPnqlOnTurZs6d7bcSIEeratatycnK8OsaOHTt02223qWfPnurXr58mT56skpIS9/ZNmzZp9OjR6tGjh4YOHaqVK1cazwEAAM5dflewPvvsMz3xxBNq3bq1e%2B3888/Xo48%2Bqi1btjT48ceOHdP48eP129/%2BVps3b9bbb7%2BtkpISzZo1S5J06NAhZWRkaOzYsdq8ebNmzJihmTNnatu2bU0VCQAAnGP8rmBZlqVjx47VW6%2BsrFRtbW2DH19VVaXs7GzdddddCgsL0/nnn6/U1FTt3LlTkrRq1Sq1b99eo0ePVnh4uPr27atBgwapoKDAeBYAAHBu8rs3uf/ud7/TtGnTNHnyZLVr1051dXXatWuX/vznP2vAgAENfnxMTIxuuukm95/37t2rlStXasiQIZKkoqIiJSYmenxMQkKCVq9ebSxDcXGxxyNJSQoNjVRcXJyx15CkkJBgj9/twq65JPtms2suiWyByK65JHtnk%2ByVy%2B8K1kMPPaSMjAyNHDlSQUFB7vVevXpp5syZXh/n4MGDSk1NVU1NjcaOHausrCxJksvlUps2bTz2jY2NVVlZmZkAkvLy8rRw4UKPtYyMDPcMpkVHn9ckx/U1u%2BaS7JvNrrkksgUiu%2BaS7JvNTrn8rmD96le/0muvvaYdO3Zo7969CgkJ0aWXXqoOHTo06jht27aV0%2BnU3r179eijj%2Br%2B%2B%2B/X/PnzT7uvZVkeZe6XSktL08CBAz3WQkMjVVZ21NhrSCeafnT0eaqoqFJtbZ3RY/uSXXNJ9s1m11wS2QKRXXNJ9s4mqUlyORxRRo/nLb8rWCfFx8crPj7%2BFx0jKChIl156qbKzszV27Fg9/PDDcjgccrlcHvu5XC45HI5f9Fo/FRcXV%2B9xYEnJEdXUNM3FUFtb12TH9iW75pLsm82uuSSyBSK75pLsm81OufzuYafT6VRaWpq6d%2B%2BuhISEer8asmnTJqWmpqqu7v%2BfoODgEzFDQ0PVpUsXFRYWenxMYWGhunXrZjYIAAA4Z/ndHaxHHnlEkZGRyszMVGRkZKM/PikpSRUVFcrNzVVmZqaqqqq0YMEC9erVS9HR0Ro%2BfLiee%2B455efna8SIEfr444%2B1fv165eXlNUEaAABwLvK7gvX111/rww8/rPejcbwVExOjZcuWae7cuUpOTlZkZKSSk5M1d%2B5cSSfe47VkyRI99dRTysnJUbt27TRv3rxf/DgSAADgJL8rWBdeeOEvPkZ8fLxeeeWVM27v3bu38vPzf/HrAAAAnI7fvQcrOztbTzzxhCorK309CgAAwM/id3ewFi1apAMHDmjlypWKjY11v0H9pA8//NBHkwEAAHjH7wrWqd8/CgAAIND4XcG69957fT0CAADAL%2BJ378GSpE8//VTTpk3TrbfeKkmqq6vTu%2B%2B%2B6%2BOpAAAAvON3Bevvf/%2B7br31VpWXl2vr1q2SpO%2B%2B%2B04zZ85UQUGBj6cDAABomN8VrCVLlig3N1eLFy92/3zACy%2B8UM8995xefvllH08HAADQML8rWPv27dPgwYMlyeMHMPfp00cHDhzw1VgAAABe87uC5XA4VFpaWm99z549ioiI8MFEAAAAjeN3BSs5OVkPP/ywdu/eLUlyuVz68MMPNXnyZA0YMMC3wwEAAHjB7wrWtGnTVFVVpaFDh6q6ulp9%2B/bVH//4R7Vt21bTp0/39XgAAAAN8rvvgxUbG6tXXnlFO3bs0FdffaWIiAi1b99e7du39/VoAAAAXvG7gnVSfHy84uPjfT0GAABAo/ldwYqPj/f46sFTffHFF804DQAAQOP5XcGaOXOmR8Gqra3Vnj17tGHDBk2aNMmHkwEAAHjH7wpWenr6adf/53/%2BR3l5ebrhhhuaeSIAAIDG8buvIjyT3r17a/369b4eAwAAoEEBU7DWrl2r0FC/u%2BEGAABQj981lv79%2B9dbq66uVmVl5RkfHwIAAPgTvytYaWlp9b6KMDw8XJdffrkGDhzoo6kAAAC853cFKzMz09cjAAAA/CJ%2BV7AWLlzo1X5BQUHKyMho4mkAAAAaz%2B8K1t/%2B9jcdPnxY1dXVOu%2B88xQaGqojR44oIiJCLVq08NiXggUAAPyR3xWsKVOm6IMPPtD999%2BvCy64QJK0f/9%2BzZs3T9dff72uv/56H08IAABwdn5XsJ599lm9/vrriomJca9ddNFFmjVrltLS0ihYAADA7/nd98H69ttvFRISUm/93/7t33T48GEfTAQAANA4flewOnbsqGnTpqmoqEgVFRWqrKzUjh079NBDD6lTp06%2BHg8AAKBBfveIcPbs2ZoyZYpuvPFG9/fDsixLF154oV544QUfTwcAANAwvytYiYmJWr16tQoLC/Xtt9/KsixdcMEFSkpKUnCw391wAwAAqMfvCtZJMTExOnLkiPr27evrUQAAABrF724JlZaWasKECbr22mt15513SpJKSko0bNgwfffddz6eDgAAoGF%2BV7CefPJJ1dXVKT8/3/1IsGXLlkpMTNSTTz7p4%2BkAAAAa5nePCDds2KC33npLbdq0cb/JPSIiQg8%2B%2BKCGDx/u4%2BkAAAAa5nd3sI4fP664uLh66xEREaqsrPTBRAAAAI3jdwXr8ssv15o1a%2Bqt5%2BXlqX379j6YCAAAoHH87hHh%2BPHjdf/992v16tWqra3V7NmzVVRUpG3btumZZ57x9XgAAAAN8rs7WNddd52WLFmimpoaXXzxxfrss8/Utm1bvfbaaxo8eLCvxwMAAGiQ393Bcjqd6tu3L9//CgAABCy/u4M1btw41dbW%2BnoMAACAn83vCtbQoUO1fPlyWZbl61EAAAB%2BFr97RHj48GGtXbtWL774oi688EKFhYV5bH/ttdd8NBkAAIB3/K5gORwOpaSk%2BHoMAACAn81vClZWVpaee%2B455eTkuNeee%2B45ZWVl%2BXAqAACAxvOb92CtX7%2B%2B3tp//Md/%2BGASAACAX8ZvCtbp8EZ3AAAQiPy6YJ38Yc8AAACBxG/eg4Wfp9fD7/l6BK%2Btnnylr0cAAKBZ%2BPUdLAAAgEDkN3ewjh8/rilTpjS4Nn/%2B/OYcCwAAoNH8pmD17NlTxcXFDa4BAAD4O78pWK%2B88oqvRwAAADDCtu/BOnjwoDIyMtSnTx8lJyfrgQceUEVFhSSpqKhIt9xyi3r27KnBgwfrpZde8vjYVatWafjw4erevbtGjRqlDRs2%2BCICAAAIULYtWPfcc4%2Bio6O1du1avfPOO/rqq6/0pz/9ST/%2B%2BKPuvvtuJScna%2BPGjXrmmWf00ksv6b33Tnw13vbt2/Xggw9q6tSp%2BvjjjzV%2B/HhlZmbq22%2B/9XEiAAAQKGxZsCoqKpSYmKgpU6YoKipKrVu31siRI/XJJ59o3bp1qqmp0aRJkxQZGanExETddNNNys/PlyQVFBQoJSVFKSkpCg8P17BhwxQfH6933nnHx6kAAECgsGXBio6OVk5Ojs4//3z32jfffKO4uDgVFRWpU6dOCgkJcW9LSEhQYWGhpBOPDxMTEz2Ol5CQIKfT2TzDAwCAgOc3b3JvSk6nU3/5y1%2B0aNEirV69WtHR0R7bY2Nj5XK5VFdXJ5fLpZiYGI/tMTEx2rVrl9evV1xcrJKSEo%2B10NBIxcXF/fwQpxESElj9ODTUu3lP5gq0fN6waza75pLIFojsmkuydzbJXrlsX7C2bNmiSZMmacqUKerXr59Wr15dbx/Lshr8sTyN%2BbE9eXl5WrhwocdaRkaGsrKyvD6GHTkcUY3aPzr6vCaaxPfsms2uuSSyBSK75pLsm81OuWxdsP71r39p6tSpeuSRRzRy5EhJUqtWrfT111977FdeXq7Y2FgFBwfL4XCorKzMY7vL5ZLD4fD6ddPS0jRw4ECPtdDQSJWVHf15Qc4g0Jq%2Bt/lDQoIVHX2eKiqqVFtb18RTNS%2B7ZrNrLolsgciuuSR7Z5PUJLka%2B8m9KbYtWJ9%2B%2BqkeeOABPfvss%2Brfv797PSkpSa%2B%2B%2BqpqamoUGnoivtPpVLdu3dzbT74f6ySn06mhQ4d6/dpxcXH1HgeWlBxRTY39LobGaGz%2B2to62/43s2s2u%2BaSyBaI7JpLsm82O%2BUKrFsgXqqpqdGMGTM0depUj3IlSSkpKWrRooUWLVqkqqoqff755yooKFB6erokacyYMfroo4%2B0bt06VVdXq6CgQF9//bVGjBjhiygAACAA2fIO1tatW7V7927NmTNHc%2BbM8dj23nvvafHixZo9e7aWL1%2Bu1q1bKzs7WwMGDJAkXXHFFcrNzdXTTz%2BtAwcOqEOHDlqyZIlat27tgyQAACAQ2bJg9erVS19%2B%2BeVZ9znbj%2BYZPHiwBg8ebHosAABwjrDlI0IAAABfomABAAAYRsECAAAwjIIFAABgmC3f5A4AJvV6%2BD1fj9Aoqydf6esRgHMed7AAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDbFuwNm7cqH79%2Bik7O7vetlWrVmn48OHq3r27Ro0apQ0bNri31dXVaf78%2BRo0aJB69%2B6tCRMmaO/evc05OgAACHC2LFgvvvii5syZo0suuaTetu3bt%2BvBBx/U1KlT9fHHH2v8%2BPHKzMzUt99%2BK0l65ZVX9Pe//11Lly7VunXrdNlll%2Bnee%2B%2BVZVnNHQMAAAQoWxas8PBwFRQUnLZgFRQUKCUlRSkpKQoPD9ewYcMUHx%2Bvd955R5KUn5%2Bv22%2B/XZdffrmioqI0efJk7dmzR59//nlzxwAAAAEq1NcDNIVx48adcVtRUZFSUlI81hISEuR0OvXjjz9q165dSkxMdG%2BLiorSxRdfLKfTqd/85jdevX5xcbFKSko81kJDIxUXF9eIFA0LCQmsfhwa6t28J3MFWj5v2DWbXXNJgZnpXL/W7JpLsnc2yV65bFmwzsblcikmJsZjLSYmRrt27VJ5ebksyzrt9rKyMq9fIy8vTwsXLvRYy8jIUFZW1s8f3AYcjqhG7R8dfV4TTeJ7ds1m11yBhmvtBLvmkuybzU65zrmCdSZBQUFn3GZZ1lm3nyotLU0DBw70WAsNjVRZ2dGfPd/pBFrT9zZ/SEiwoqPPU0VFlWpr65p4quZl12x2zSUF3nUmca3ZNZdk72ySmiRXYz/hMOWcK1gOh6Pe3SiXyyWHw6HY2FgFBwfX215eXq5WrVp5/RpxcXH1HgeWlBxRTY39LobGaGz%2B2to62/43s2s2u%2BYKNFxrJ9g1l2TfbHbKFXifmv1CSUlJKiws9FhzOp3q1q2bwsPD1bFjRxUVFbm3VVRUaN%2B%2BferatWtzjwoAAALUOVewxowZo48%2B%2Bkjr1q1TdXW1CgoK9PXXX2vEiBGSpPT0dK1YsUK7d%2B9WZWWlcnNzlZCQoC5duvh4cgAAEChs%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%2B/X3feeaf69Omjq6%2B%2BWn/6059UW1vr67EAAECAoGCdRlZWli644AK9//77Wr58udauXavly5f7eiwAABAgKFincDqd%2BvLLLzV16lS1bNlSl1xyie644w7l5%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%2BaSyBaI7JpLsm82u%2BUKsk6%2BgxsAAABG8IgQAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKlp/ZuHGj%2BvXrp%2Bzs7LPuV1dXp/nz52vQoEHq3bu3JkyYoL1797q3l5WV6d///d/Vr18/9e/fXw8%2B%2BKCqqqqaevyzOlu2NWvWaMSIEerevbuuvfZa5eXlube98cYbio%2BPV5cuXTx%2BHT58uDnHPyNvz9lzzz2nhIQEjwy9evVybw%2B0c/ZTqamp9c5PQkKCFi5cKEmaNm2aEhMTPbaPGDGiOSKc1sGDB5WRkaE%2BffooOTlZDzzwgCoqKk6776pVqzR8%2BHB1795do0aN0oYNG9zbGroOfaEx2QLpuvM218cff6xOnTrVm3vbtm2SAvuczZgxo16uzp0769Zbb5Xkf%2Bdsx44duu2229SzZ0/169dPkydPVklJyWn3Xb58uVJTU9WzZ0%2Blp6e7z5ckVVdX65FHHtFVV12l5ORkZWZmqrS0tLli/HwW/MbSpUutwYMHW2PHjrUmT5581n2XL19uXX311dauXbusyspKa86cOdawYcOsuro6y7Is65577rEmTpxoff/999ahQ4es9PR067HHHmuOGKd1tmzbtm2zunTpYv3zn/%2B0ampqrI0bN1qdO3e2/vd//9eyLMtatmyZdccdd/hi7AY15pzNnj3bmjFjxhm3B9I5a0hxcbGVnJxs7dy507Isy7r77rutRYsWNcWYP8uIESOs6dOnW5WVlVZxcbF14403Wg899FC9/YqKiqykpCRr3bp11o8//mi98847VteuXa1vvvnGsqyGr0Nf8DZboF133uZas2aNNXjw4DMeJ5DP2anq6uqstLQ0Ky8vz7Is/zpn1dXVVt%2B%2Bfa2FCxda1dXVVklJiXXzzTdb99xzT719//nPf1q9evWytm7dalVVVVkvvvii1a9fP6uystKyLMuaO3euNWrUKOubb76xXC6XlZmZaU2cOLG5IzUad7D8SHh4uAoKCnTJJZc0uG9%2Bfr5uv/12XX755YqKitLkyZO1Z88eff755zp8%2BLDWrl2r7OxstWrVSnFxcZo0aZL%2B9re/6fjx482QpL6zZSsrK9Ndd92la665RiEhIerfv7%2BuuOIKffLJJ5Kk8vJyxcTENPfIXmnMOauoqDhjjkA7Zw3JycnRDTfcoA4dOkg6e/bmVlFRocTERE2ZMkVRUVFq3bq1Ro4c6f779lMFBQVKSUlRSkqKwsPDNWzYMMXHx%2Budd96RdPbr0Bcaky2QrrvG5Gpo7kA%2BZ6fKy8tTXV2dbrrpJkn%2Bdc6qqqqUnZ2tu%2B66S2FhYTr//POVmpqqnTt31ts3Pz9fo0aNUrdu3RQREaEJEyYoODhY69atU21trd58803dc889%2BvWvf62YmBhNnjxZ69ev16FDh3yQzHsULD8ybtw4tWzZssH9fvzxR%2B3atUuJiYnutaioKF188cVyOp364osvFBISok6dOrm3JyYm6ocfftBXX33VJLM35GzZrrrqKmVkZLj/XFNTo5KSErVp00bSiX%2BA9u7dq5tuukm9evXSjTfeqE2bNjXL3A3x9pxJJ3J8/vnnGj58uHr37q1bbrlFhYWFkhRw5%2Bxstm7dqk2bNnmc04qKCn3wwQdKTU1Vnz59NHHiRO3bt8/kuF6Ljo5WTk6Ozj//fPfaN998o7i4uHr7FhUVeVxnkpSQkCCn09ngdegLjckWSNddY3JVVFSovLxct956q3r37q3hw4fr7bffltTwv52%2B0JhsP3X06FH9%2Bc9/1vTp0xUUFCTJv85ZTEyMbrrpJoWGhkqS9u7dq5UrV2rIkCH19j31OgsKClJ8fLycTqf27t2rI0eOqHPnzu7tl112mSIiIlRUVNT0QX4BClYAKi8vl2VZ9T5TiYmJUVlZmVwul1q0aOG%2B6E5uk0581urvcnNzFRkZ6b4QY2NjFRcXp5ycHG3YsEHDhg3TXXfdpd27d/t40sZp3bq14uLitHjxYq1du1ZJSUkaP368SktLA/6c/dQLL7ygcePGKSoqyr3Wtm1bXXTRRfrrX/%2Bq1atXq0WLFvrjH/%2BoY8eO%2BXDSE5xOp/7yl79o0qRJ9ba5XK4zXmcNXYf%2B4GzZThVI193ZckVGRqpNmzaaMmWKPvzwQ02cOFEPPvigNm/ebKtz9uqrryo%2BPl49evRwr/njOTt48KCSkpKUmpqqrl27Kisrq94%2BZ7vOXC6XpBNF9Keio6P95pydCQXLRizL8vgf9Ok0tN2XLMvSvHnztGrVKi1atEjh4eGSpMzMTC1evFgdOnRQZGSk7rjjDo/HNIFi9uzZmj9/vtq2bauWLVvq/vvvV1hYmD744IOzfpw/n7NT7d69Wx999JH%2B8Ic/eKwvXrxYM2fO1K9%2B9Su1atVKjz/%2BuA4cOKAtW7b4aNITtmzZogkTJmjKlCnq16%2Bf1x93tnPizXXYHLzNFmjXXUO5xo4dqxUrVug3v/mNwsPDNXz4cF1zzTV68803z3jMQDtndXV1evnll3X77bd7rPvjOWvbtq2cTqfee%2B89ffXVV7r//vu9%2BriGzom/nLOzoWAFoNjYWAUHB9dr7%2BXl5WrVqpVatWqlI0eOqLa21r3t5GcBrVq1atZZvVVXV6fp06dr7dq1evXVV3XZZZeddf927dqpuLi4maZrGiEhIfr1r3%2Bt4uLigDxnp7N69Wr17t1bsbGxZ92vRYsWio2N9el7KP71r39p4sSJeuihhzRu3LjT7uNwOOpdZy6XSw6Ho8Hr0Je8ySYF3nXnba5TnZzbDudMkj755BNVVlbqyiuvbPC4vj5n0olPSC699FJlZ2dr1apV9b4C8HTXWXl5uRwOh/u8nLq9oqLC5%2BesIRSsABQeHq6OHTt6PH%2BuqKjQvn371LVrVyUkJMiyLO3YscO93el0Kjo6Wu3bt/fFyA164okntHPnTr366qu66KKLPLYtXbpU//3f/%2B2xtnv37nr7%2BTPLsvTUU0/pyy%2B/dK8dP35c%2B/bt00UXXRSQ5%2Bx03n//faWkpHisVVZWas6cOR7/yJeWlqq0tNRn5/DTTz/VAw88oGeffVYjR448435JSUnu98md5HQ61a1btwavQ1/xNpsUWNedt7lef/11/eMf//BYOzm3Hc6ZdOI6S05OVlhYmMe6P52zTZs2KTU1VXV1de614OATlePk%2B7JOSkpK8jgntbW12r59u7p166aLLrpIMTExHtv/7//%2BT8eOHVNSUlITp/hlKFgB4tChQ7ruuuu0f/9%2BSVJ6erpWrFih3bt3q7KyUrm5ue7vsdSqVSulpqbqmWeeUWlpqb777js9//zzGj16dL2/2P5gy5Ytevvtt7V06dLT3vk4fPiwHnvsMe3Zs0fV1dVatmyZ9u/fr1GjRvlgWu/99JwFBQVp7969evzxx3Xo0CEdPXpUubm5CgsL0zXXXBNw5%2BzUv4%2BSdOzYMe3cuVPt2rXz2LdFixbasmWL5syZI5fLpfLycs2ePVsJCQnq3r17c4%2BumpoazZgxQ1OnTlX//v3rbb/tttv07rvvSpLGjBmjjz76SOvWrVN1dbUKCgr09ddfu7%2BH19muQ19oTLZAuu4ak6uqqkqPP/64CgsLdfz4cb377rvauHGj0tPTJQX2OTtp%2B/btpy1N/nTOkpKSVFFRodzcXFVVVam0tFQLFixQr169FB0dreuuu879lZLp6elauXKltm7dqqqqKi1atEhhYWEaMGCAQkJCNGbMGC1evFjffvutysrK9PTTT%2Bvaa6/1%2BMIAf%2BR//3Kfw05e4DU1NZJOfJYinfiM%2Bfjx49qzZ4/7TcFjx47V4cOHdeedd%2Bro0aPq3r27%2B5s6StLjjz%2BuWbNmadiwYQoNDdU111zT4DeLbEpny/bGG2/oyJEjuvrqqz0%2Bpnfv3vrP//xPTZkyRZZlady4cfrhhx90xRVX6OWXX3Z/tZMvNeaczZ07Vzk5ORo1apSOHz%2BuLl26aMWKFYqMjJQUWOfs1GzSiUdnNTU1p/3qp%2Beff15z585VamqqQkJC1KtXLy1ZssT9GW1z2rp1q3bv3q05c%2BZozpw5Htvee%2B897d%2B/X%2BXl5ZKkK664Qrm5uXr66ad14MABdejQQUuWLFHr1q0lNXwdNrfGZAuk664xucaNG6fKykplZWWprKxM7du31wsvvOD%2BKrRAPmcnlZSUnPY686dzFhMTo2XLlmnu3LlKTk5WZGSkkpOTNXfuXEnSnj179MMPP0g68RWt9913n6ZPn66SkhJ17txZS5cuVUREhCQpKytLP/zwg9LS0lRTU6N%2B/fpp5syZzZ6psYIsy7J8PQQAAICd8IgQAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAz7f43EVdL7tnOzAAAAAElFTkSuQmCC\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-8666654728043424726\">\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\">3</td>\n",
       "        <td class=\"number\">487</td>\n",
       "        <td class=\"number\">54.9%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">216</td>\n",
       "        <td class=\"number\">24.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:44%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">184</td>\n",
       "        <td class=\"number\">20.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:38%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-8666654728043424726\">\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\">216</td>\n",
       "        <td class=\"number\">24.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:44%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">184</td>\n",
       "        <td class=\"number\">20.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:38%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">487</td>\n",
       "        <td class=\"number\">54.9%</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</td>\n",
       "        <td class=\"number\">216</td>\n",
       "        <td class=\"number\">24.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:44%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">184</td>\n",
       "        <td class=\"number\">20.7%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:38%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">487</td>\n",
       "        <td class=\"number\">54.9%</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_Sex\">Sex<br/>\n",
       "            <small>Categorical</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-3\">\n",
       "    <table class=\"stats \">\n",
       "        <tr class=\"\">\n",
       "            <th>Distinct count</th>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <th>Unique (%)</th>\n",
       "            <td>0.2%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (%)</th>\n",
       "            <td>0.0%</td>\n",
       "        </tr>\n",
       "        <tr class=\"ignore\">\n",
       "            <th>Missing (n)</th>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-5248618489714335820\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>male</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 64.6%\">\n",
       "            573\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>female</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:55%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 35.4%\">\n",
       "            314\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-5248618489714335820, #minifreqtable-5248618489714335820\"\n",
       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-5248618489714335820\">\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\">male</td>\n",
       "        <td class=\"number\">573</td>\n",
       "        <td class=\"number\">64.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">female</td>\n",
       "        <td class=\"number\">314</td>\n",
       "        <td class=\"number\">35.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:55%\">&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_Siblings/Spouses Aboard\">Siblings/Spouses Aboard<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>7</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>0.8%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Infinite (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>0.52537</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Minimum</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Maximum</th>\n",
       "                    <td>8</td>\n",
       "                </tr>\n",
       "                <tr class=\"alert\">\n",
       "                    <th>Zeros (%)</th>\n",
       "                    <td>68.1%</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-8956678992530995223\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAAR9JREFUeJzt3cEJAjEUQMFVLMki7MmzPVmEPcW7yINd0A06cw/8Qx4hEMhhjDEW4K3j3gPAzE57D/DqfL2vXvO4XT4wCThBIAkEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBMJ03x9s4csEPsUJAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAuEnXvNuMesL4Fnn%2Bld/G8gWazfvtzbur8y1LPPFfhhjjL2HgFm5g0AQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUB4AgF1HZVgFOXZAAAAAElFTkSuQmCC\">\n",
       "\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-8956678992530995223,#minihistogram-8956678992530995223\"\n",
       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"row collapse col-md-12\" id=\"descriptives-8956678992530995223\">\n",
       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-8956678992530995223\"\n",
       "                                                  aria-controls=\"quantiles-8956678992530995223\" role=\"tab\"\n",
       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#histogram-8956678992530995223\" aria-controls=\"histogram-8956678992530995223\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#common-8956678992530995223\" aria-controls=\"common-8956678992530995223\"\n",
       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
       "        <li role=\"presentation\"><a href=\"#extreme-8956678992530995223\" aria-controls=\"extreme-8956678992530995223\"\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-8956678992530995223\">\n",
       "            <div class=\"col-md-4 col-md-offset-1\">\n",
       "                <p class=\"h4\">Quantile statistics</p>\n",
       "                <table class=\"stats indent\">\n",
       "                    <tr>\n",
       "                        <th>Minimum</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>5-th percentile</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q1</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Median</th>\n",
       "                        <td>0</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Q3</th>\n",
       "                        <td>1</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>95-th percentile</th>\n",
       "                        <td>3</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Maximum</th>\n",
       "                        <td>8</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Range</th>\n",
       "                        <td>8</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Interquartile range</th>\n",
       "                        <td>1</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>1.1047</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Coef of variation</th>\n",
       "                        <td>2.1027</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Kurtosis</th>\n",
       "                        <td>17.798</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Mean</th>\n",
       "                        <td>0.52537</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>MAD</th>\n",
       "                        <td>0.71549</td>\n",
       "                    </tr>\n",
       "                    <tr class=\"\">\n",
       "                        <th>Skewness</th>\n",
       "                        <td>3.6868</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Sum</th>\n",
       "                        <td>466</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Variance</th>\n",
       "                        <td>1.2203</td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th>Memory size</th>\n",
       "                        <td>7.0 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-8956678992530995223\">\n",
       "            <img 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zSWRLRjZNZdk32x2yhVcl0D8tH79ep04cUJJSUnq37%2B/Ro8eLUnq37%2B/rrvuOhUWFvocX1hYqF69ekmSEhMTVVRU1LDn9Xq1b9%2B%2Bhn0AAIALsWXBmjlzpj744AOtW7dO69at0/LlyyVJ69at08iRI1VSUqLc3FydOXNG27Zt07Zt2zR27FhJUlpamvLz87Vnzx5VV1dr6dKlCgsLU1JSkoWJAABAMLHlLcLo6GifB9Vra2slSe3atZMkLVu2TC%2B%2B%2BKJycnLUsWNHzZ8/X/Hx8ZKkwYMH6/HHH9fMmTPl8XjUo0cPLV%2B%2BXOHh4Zc/CAAACEq2LFjn6tixow4ePNjw%2B379%2Bik3N/d7j7/vvvt03333XY7RAACADdnyFiEAAICVAq5gnTp1yuoRAAAALknAFaxBgwbpySef1K5du6weBQAA4KIEXMH6z//8T504cUIPPvigbr/9dq1cuVInT560eiwAAAC/BVzBGjVqlFasWKGPPvpI999/vzZt2qSkpCRlZmZq586dVo8HAABwQQFXsM5q3bq1/u3f/k3//d//rZycHH388ceaMGGCRowYoU2bNlk9HgAAwPcK2G/TcPLkSb377rv6/e9/ry%2B%2B%2BEI333yzUlNTVVpaqjlz5qikpEQPPfSQ1WMCAAA0EnAFa/v27crNzdWWLVsUExOje%2B65R2PHjlWHDh0ajunRo4fS09MpWAAAICAFXMF65JFH1L9/fy1YsEA///nP5XQ2HrFnz56KjIy0YDoAAIALC7iCtXHjRl199dWqqalpKFdVVVW68sorfY774x//aMV4AAAAFxRwD7mHhIRoxIgR2rJlS8PaO%2B%2B8oxEjRujo0aMWTgYAAOCfgCtYzz77rLp166Y%2Bffo0rN15553q2bOncnJyLJwMAADAPwF3i/CTTz7R1q1b1bJly4a1Nm3aaM6cObr11lstnAwAAMA/AXcFq76%2BXjU1NY3Wq6qq5PV6LZgIAACgaQKuYN1yyy168skndeDAAVVVVamyslK7d%2B/W9OnTlZSUZPV4AAAAFxRwtwiffvpppaena9SoUXI4HA3rffv2VXZ2toWTAQAA%2BCfgCtZVV12lNWvW6MCBAzpy5IhCQ0N1zTXXqEuXLlaPBgAA4JeAK1hnxcfHKz4%2B3uoxAAAAmizgCpbb7da8efP0v//7v/rmm28a7e/fv9%2BCqQAAAPwXcAVr9uzZatWqlaZOnapWrVpZPQ4AAECTBVzB%2Bvzzz/Xxxx83%2BtE4AAAAwSLgvk1D%2B/btrR4BAADgkgRcwcrMzNRzzz2nqqoqq0cBAAC4KAF3i3Dp0qUqLi5Wfn6%2BYmJiFBLi2wE//vhjiyYDAADwT8AVrKFDh1o9AgAAwCUJuII1ZcoUq0cAAAC4JAH3DJYk7d69W08%2B%2BaR%2B%2BctfSpLq6ur0xz/%2B0eKpAAAA/BNwBev999/XL3/5S1VUVGjPnj2SpGPHjik7O1t5eXkWTwcAAHBhAVewli1bpgULFui1115r%2BGHP7du318KFC7V69WqLpwMAALiwgCtYX3zxhYYPHy5JDQVLkvr376/i4mKrxgIAAPBbwBUsl8ulkydPNlo/fPiwwsPDLZgIAACgaQKuYN1000361a9%2BpUOHDkmSysvL9fHHH2vatGlKSkqydjgAAAA/BFzBevLJJ1VdXa2UlBSdOXNGAwYM0MMPP6wOHTpo5syZVo8HAABwQQH3fbBiYmL05ptv6sCBA/rss88UHh6uTp06qVOnTlaPBgAA4JeAK1hnxcfHKz4%2B3uoxAAAAmizgClZ8fLzPVw%2Bea//%2B/ZdxGgAAgKYLuIKVnZ3tU7C8Xq8OHz6sjz76SJMnT7ZwMgAAAP8EXMFKS0s77/pf//pXrV27VnffffdlnggAAKBpAu6rCL9Pv379tG3bNqvHAAAAuKCgKVhbtmyR0%2Bn/BbcDBw7ogQceUJ8%2BfTRw4EBNmzZNHo9HkrRjxw6NGTNGvXv3VkpKivLz833%2B7KpVq5ScnKw%2BffooLS1Ne/fuNZoFAADYW8DdIhw0aFCjtTNnzqiqqup7bx%2Beq6amRhMmTND999%2Bv119/XZWVlfqP//gPzZ07V3PmzFF6erpmzZqlkSNHavfu3Xr00Ud17bXXqmfPntq8ebOWLFmiFStWqFu3bnrrrbc0efJkbdq0SREREabjAgAAGwq4gpWamtroqwhbtGihzp07a%2BjQoX6do7q6WpmZmbr77rvldDrVpk0bJScn66233tKGDRvUqVMnjRkzRpI0YMAADRs2THl5eerZs6dyc3M1evRo9erVS5I0ceJErV69Wlu3blVKSorZsAAAwJYCrmBNnTr1ks8RHR2te%2B%2B9t%2BH3R44cUX5%2BvkaMGKGioiIlJCT4HN%2B9e3cVFBRIkoqKijRixIiGPYfDofj4eLndbgoWAADwS8AVrMWLF/t1nMPhUHp6%2Bg8eU1JSouTkZNXW1mrcuHHKyMjQww8/rLi4OJ/jYmJiVFZWJum7n30YHR3tsx8dHd2w74/S0tKG573OcjpbKTY21u9z%2BCM0NGgeoZMkOZ3%2BzXs2V7Dl84dds9k1l0S2YGTXXJJ9s9kxV8AVrD/84Q86fvy4zpw5o5YtW8rpdOrUqVMKDw/XlVde6XPshQpWhw4d5Ha7deTIEc2ZM0czZsw473H19fU/%2BM1NL7R/rrVr1zYqiunp6crIyPD7HHbkcjXtGbaoqJbNNIn17JrNrrkksgUju%2BaS7JvNTrkCrmBNnz5df/rTnzRjxgy1a9dOknT06FHNnz9ft99%2Bu26//fYmnc/hcOiaa65RZmamxo0bpyFDhqi8vNznmPLycrlcLkmSy%2BVqdLWqoqJCXbt29fttpqamNnpezOlspbKy002a/UKCren7mz80NERRUS1VWVktr7eumae6vOyaza65JLIFI7vmkuybrTlzNfWTe1MCrmC9%2Buqreuedd3xu0/3kJz/R3LlzlZqa6lfB2rFjh37961%2BroKBAISHflZCz/x04cKB%2B//vf%2BxxfWFjY8FB7YmKiioqKGr6hqdfr1b59%2BxoeivdHbGxso9uBHs8p1dba553hYjQ1v9dbZ9u/M7tms2suiWzByK65JPtms1OugLsE8tVXXyk0NLTR%2BhVXXKHjx4/7dY7ExERVVlZqwYIFqq6u1smTJ7Vo0SL17dtXI0eOVElJiXJzc3XmzBlt27ZN27Zt09ixYyV9953k8/PztWfPHlVXV2vp0qUKCwtTUlKSyZgAAMDGAq5gde3aVU8%2B%2BaSKiopUWVmpqqoqHThwQE8//bS6devm1zmio6O1cuVKud1u3XTTTUpJSVFkZKRefvllXXXVVVq2bJneeecdDRgwQC%2B99JLmz5%2Bv%2BPh4SdLgwYP1%2BOOPa%2BbMmRo0aJD%2B%2Bte/avny5QoPD2/O2AAAwEYc9fX19VYP8a/27dun6dOn6/Dhww0PltfX16t9%2B/b6r//6r4YiFGw8nlPGz%2Bl0hugXC7YbP29zKZh2s1/HOZ0hcrkiVFZ22jaXis%2Byaza75pLIFozsmkuyb7bmzNW2baTR8/kr4J7BSkhIUEFBgQoLC/XVV1%2Bpvr5e7dq1U2JiYsNzVAAAAIEs4ArWWdHR0Tp16pQGDBhg9SgAAABNEnCXhE6ePKmJEyfqF7/4hSZNmiRJ8ng8uuOOO3Ts2DGLpwMAALiwgCtYzz//vOrq6pSbm9twSzAyMlIJCQl6/vnnLZ4OAADgwgLuFuFHH32kdevWKS4uruEh9/DwcD311FMaOXKkxdMBAABcWMBdwfr222/P%2BzP7wsPDVVVVZcFEAAAATRNwBatz587atGlTo/W1a9eqU6dOFkwEAADQNAF3i3DChAmaMWOGCgoK5PV69cwzz6ioqEh79%2B7VK6%2B8YvV4AAAAFxRwV7Buu%2B02LVu2TLW1tfrpT3%2BqTz75RB06dNCaNWs0fPhwq8cDAAC4oIC7guV2uzVgwAC%2B/xUAAAhaAXcFa/z48fJ6vVaPAQAAcNECrmClpKRo1apVCrAfkQgAAOC3gLtFePz4cW3ZskWvv/662rdvr7CwMJ/9NWvWWDQZAACAfwKuYLlcLg0ZMsTqMQAAAC5awBSsjIwMLVy4UDk5OQ1rCxcuVEZGhoVTAQAANF3APIO1bdu2Rmu/%2Bc1vLJgEAADg0gRMwTofHnQHAADBKKAL1tkf9gwAABBMArpgAQAABCMKFgAAgGEB81WE3377raZPn37BtZdeeulyjgUAANBkAVOw%2BvTpo9LS0guuAQAABLqAKVhvvvmm1SMAAAAYwTNYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGOa0eoLmUlJToueee065du%2BRwODR48GDNmjVLUVFRKioqUk5Ojvbv36%2BrrrpKY8eO1cMPP9zwZzds2KBly5apuLhYnTp10rRp0zR48GAL09jD7a/ssHqEJimYdrPVIwAAgpRtr2A99thjioqK0pYtW/Tee%2B/ps88%2B0wsvvKBvvvlGjz76qG666SZt375dr7zyilasWKGNGzdKkvbt26ennnpKWVlZ%2Bstf/qIJEyZo6tSp%2BuqrryxOBAAAgoUtC1ZlZaUSEhI0ffp0RUREqG3btho1apR27dqlrVu3qra2VpMnT1arVq2UkJCge%2B%2B9V7m5uZKkvLw8DRkyREOGDFGLFi10xx13KD4%2BXu%2B9957FqQAAQLCw5S3CqKgo5eTk%2BKx9%2BeWXio2NVVFRkbp166bQ0NCGve7du%2Budd96RJBUVFWnIkCE%2Bf7Z79%2B5yu91%2Bv/3S0lJ5PB6fNaezlWJjY5sa5QeFhtqyHwcMp9P83%2B/Z18xur51dc0lkC0Z2zSXZN5sdc9myYJ3L7Xbr7bff1tKlS1VQUKCoqCif/ZiYGJWXl6uurk7l5eWKjo722Y%2BOjtann37q99tbu3atFi9e7LOWnp6ujIyMiw%2BBy87limi2c0dFtWy2c1vJrrkksgUju%2BaS7JvNTrlsX7D%2B/ve/a/LkyZo%2BfboGDhyogoKCRsfU19fL4XD84HkutP%2BvUlNTNXToUJ81p7OVyspO%2B30Of9ip6Qci06%2BX9N1rFhXVUpWV1fJ664yf3yp2zSWRLRjZNZdk32zNmas5P1n%2BIbYuWB9%2B%2BKGysrI0e/ZsjRo1SpLUunVrff755z7HVVRUKCYmRiEhIXK5XCorK/PZLy8vl8vl8vvtxsbGNrod6PGcUm2tfd4Zfgya8/Xyeuts%2Be/BrrkksgUju%2BaS7JvNTrlsewlk9%2B7deuKJJ/Tqq682lCtJSkxM1MGDB1VbW9uw5na71atXr4b9wsJCn3P96z4AAMCF2LJg1dbWatasWcrKytKgQYN89oYMGaIrr7xSS5cuVXV1tf7xj38oLy9PaWlpkqSxY8fqz3/%2Bs7Zu3aozZ84oLy9Pn3/%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%2BvXrp4kTJ%2BrIkSOXc3QAABDkbFmwXn/9dc2bN09XX311o719%2B/bpqaeeUlZWlv7yl79owoQJmjp1qr766itJ0ptvvqn3339fy5cv19atW3XttddqypQpqq%2Bvv9wxAABAkLJlwWrRooXy8vLOW7Dy8vI0ZMgQDRkyRC1atNAdd9yh%2BPh4vffee5Kk3NxcPfjgg%2BrcubMiIiI0bdo0HT58WP/4xz8udwwAABCkbFmwxo8fr8jIyPPuFRUVKSEhwWete/fucrvd%2Buabb/Tpp5/67EdEROhlPY60AAANRUlEQVSnP/2p3G53s84MAADsw2n1AJdbeXm5oqOjfdaio6P16aefqqKiQvX19efdLysr8/ttlJaWyuPx%2BKw5na0UGxt78YOfR2ioLftxwHA6zf/9nn3N7Pba2TWXRLZgZNdckn2z2THXj65gfR%2BHw/G9e/X19T%2B4f661a9dq8eLFPmvp6enKyMi46Plw%2BblcEc127qiols12bivZNZdEtmBk11ySfbPZKdePrmC5XK5GV6PKy8vlcrkUExOjkJCQRvsVFRVq3bq1328jNTVVQ4cO9VlzOluprOz0xQ9%2BHnZq%2BoHI9OslffeaRUW1VGVltbzeOuPnt4pdc0lkC0Z2zSXZN1tz5mrOT5Z/yI%2BuYCUmJqqwsNBnze12KyUlRS1atFDXrl1VVFSkG2%2B8UZJUWVmpL774Qj179vT7bcTGxja6HejxnFJtrX3eGX4MmvP18nrrbPnvwa65JLIFI7vmkuybzU65fnSXQMaOHas///nP2rp1q86cOaO8vDx9/vnnuvPOOyVJaWlpeuONN3To0CFVVVVpwYIF6t69u66//nqLJwcAAMHCllewzpah2tpaSdLmzZslfXel6rrrrtOCBQv08ssvq7i4WF26dNGyZcvUtm1bSdK4ceN0/PhxTZo0SadPn9YNN9zQ6HkqAACAH2LLgnWhb6kwfPhwDR8%2B/Lx7DodDU6dO1dSpU5tjNAAA8CPwo7tFCAAA0NwoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGCY0%2BoBgEB1%2Bys7rB6hSQqm3Wz1CACA/4crWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMh9wB4AL6/mqj1SM0CV/wAFiPggXYRDB91SMFAIDdcYsQAADAMAoWAACAYRQsAAAAw3gG6zyOHj2qX//619q7d69atWql2267TVlZWQoNDbV6NAAA/BZMz2buevY2q0cwioJ1HhkZGUpMTNTLL7%2BskydP6pFHHlGbNm00ceJEq0cDgAsKpv%2Bp8gUPsCtuEZ7D7Xbr4MGDysrKUmRkpK6%2B%2Bmo99NBDys3NtXo0AAAQJLiCdY6ioiJ16NBB0dHRDWsJCQk6fPiwqqqqdOWVV17wHKWlpfJ4PD5rTmcrxcbGGp01NJR%2BjODkdAbPv13ez5pXc/xbOPua2fG1s3M2yV65KFjnKC8vV1RUlM/a2bJVVlbmV8Fau3atFi9e7LM2ZcoUTZ061dyg%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%2BuvXWW/XCCy/I6/VaPZYx27dv18CBA5WZmWn1KEaVlJQoPT1d/fv310033aQnnnhClZWVVo91yQ4cOKAHHnhAffr00cCBAzVt2jR5PB6rxzLqueeeU7du3awew5hbb71ViYmJuv766xt%2BPfPMM1aPZczSpUs1aNAg/exnP9ODDz6oo0ePWj3SJfnb3/7m81qd/dWtWzeVlJRYPd4l279/v8aPH6%2B%2Bffvq5ptvVlZWlk6ePGn1WJeMghWEMjIy1K5dO23evFmrVq3Sli1btGrVKqvHMuL111/XvHnzdPXVV1s9inGPPfaYoqKitGXLFr333nv67LPP9MILL1g91iWpqanRhAkTdOONN2rnzp1av369PB6P7PQjTvfv36/8/HyrxzCqsrJSb7zxhtxud8Ov2bNnWz2WEW%2B//bby8/O1evVqbd%2B%2BXZ07dw76j4/9%2BvXzea3cbreefvpp9e7dW%2B3bt7d6vEvi9Xo1adIkXX/99fr444%2B1fv16HT9%2B3BYfQyhYQcbtduvgwYPKyspSZGSkrr76aj300EPKzc21ejQjWrRooby8PNsVrMrKSiUkJGj69OmKiIhQ27ZtNWrUKO3atcvq0S5JdXW1MjMz9e///u8KCwtTmzZtlJycrH/%2B859Wj2ZEXV2dsrOz9cADD1g9ijFer1enT59WdHS01aM0i9/%2B9rfKzMxU586dFRkZqdmzZ9umPJ51/Phxvfrqq8rOzpbD4bB6nEtSWloqj8ej0aNHKzw8XFdddZWSk5O1f/9%2Bq0e7ZBSsIFNUVKQOHTr4fHBMSEjQ4cOHVVVVZeFkZowfP16RkZFWj2FcVFSUcnJy1KZNm4a1L7/8UrGxsRZOdemio6N17733yul0SpKOHDmi/Px8jRgxwuLJzFizZo3CwsJ01113WT2KMZWVlaqvr9eiRYs0ePBg3XLLLcrOztbp06etHu2Sff311youLlZVVZVGjBih/v37KyMjwxa3m/7VwoULNXz4cMXHx1s9yiWLi4tT9%2B7dtWbNGp0%2BfVonTpzQBx98oKSkJKtHu2QUrCBTXl6uqKgon7WzZausrMyKkXAR3G633n77bU2ePNnqUYwoKSlRYmKikpOT1bNnT2VkZFg90iU7fvy4Fi1apOzsbKtHMaqmpkY9evRQ79699cEHH2jlypXavXu3LW7JHDt2TJJUUFCglStXat26dSotLdWcOXMsnsycY8eOaf369Zo0aZLVoxgREhKihQsX6sMPP1Tv3r01cOBA1dbWavr06VaPdskoWDZQX18vSUF/qfjH4u9//7smTpyo6dOna%2BDAgVaPY0SHDh3kdru1ceNGffbZZ5oxY4bVI12ynJwc3XPPPeratavVoxgVFxend999V%2BPHj1fLli3VpUsXZWVl6f3331dNTY3V412Ssx8LH374YcXFxaldu3aaMmWK/vSnP%2BnMmTMWT2fGW2%2B9pcGDB%2BsnP/mJ1aMYUVNTo8mTJys5OVm7du3SRx99pKioKGVlZVk92iWjYAWZ1q1bN7pSVVFRIYfDIZfLZdFU8NeHH36oRx55RE8//bTGjx9v9ThGORwOXXPNNcrMzNSGDRuC%2BrbMzp079cknnyg9Pd3qUS6Ljh07yuv16sSJE1aPcknO3oL/16v87du3V11dXdBnO6ugoEA///nPrR7DmJ07d6q4uFiPP/64IiMjFRcXp4yMDP3P//yPysvLrR7vklCwgkxiYqK%2B/PJLn/95ud1udenSRRERERZOhgvZvXu3nnjiCb366qsaNWqU1eMYsWPHDiUnJ6uurq5hLSTkuw8rZ5/LCkbr16/XiRMnlJSUpP79%2B2v06NGSpP79%2B%2Bv999%2B3eLpLc%2BDAAc2fP99n7dChQwoLCwv6ZwLbtWun1q1b%2BzwgXVJSoiuuuCLos0nfvXbFxcUaPHiw1aMY4/V6VVdX13D1UZJqa2stnMgcClaQSUhIUM%2BePfXSSy%2BpqqpKhw4d0sqVK5WWlmb1aPgBtbW1mjVrlrKysjRo0CCrxzEmMTFRlZWVWrBggaqrq3Xy5EktWrRIffv2bfSsYDCZOXOmPvjgA61bt07r1q3T8uXLJUnr1q3T0KFDLZ7u0rhcLv3ud7/TihUrVFNTo8OHD2vRokUaN26cQkNDrR7vkjidTqWmpuq1117TkSNHdOLECS1ZskQjR44M6sJ/VlFRkaKiohQTE2P1KMbccMMNatWqlRYtWqTq6mqVlZXptddeU79%2B/YI%2Bp6P%2BX2sjgsKxY8c0d%2B5c7d69W5GRkRo1apSmTJlii2ewrr/%2Bekn//2cwZz8out1uy2YyYdeuXbr//vsVFhbWaG/jxo3q0KGDBVOZceDAAT377LPau3evWrVqpZtuukkzZ85UXFyc1aMZU1xcrGHDhungwYNWj2LE3/72N82fP1///Oc/5XK5dNttt2natGnn/fcZbGpqapSTk6P3339f3377rZKTkzV79mxbXOFftmyZ1q9fH/RXUc9VWFioF154QQcOHFBYWJhuvPFGW3wMoWABAAAYxi1CAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADDs/wOMfZDcw0QsxAAAAABJRU5ErkJggg%3D%3D\"/>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-8956678992530995223\">\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">604</td>\n",
       "        <td class=\"number\">68.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">209</td>\n",
       "        <td class=\"number\">23.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:35%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">28</td>\n",
       "        <td class=\"number\">3.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">18</td>\n",
       "        <td class=\"number\">2.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">16</td>\n",
       "        <td class=\"number\">1.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">8</td>\n",
       "        <td class=\"number\">7</td>\n",
       "        <td class=\"number\">0.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">5</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "        </div>\n",
       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-8956678992530995223\">\n",
       "            <p class=\"h4\">Minimum 5 values</p>\n",
       "            \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">604</td>\n",
       "        <td class=\"number\">68.1%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">209</td>\n",
       "        <td class=\"number\">23.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:35%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">2</td>\n",
       "        <td class=\"number\">28</td>\n",
       "        <td class=\"number\">3.2%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">3</td>\n",
       "        <td class=\"number\">16</td>\n",
       "        <td class=\"number\">1.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">18</td>\n",
       "        <td class=\"number\">2.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:3%\">&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</td>\n",
       "        <td class=\"number\">28</td>\n",
       "        <td class=\"number\">3.2%</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\">16</td>\n",
       "        <td class=\"number\">1.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:57%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">4</td>\n",
       "        <td class=\"number\">18</td>\n",
       "        <td class=\"number\">2.0%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:64%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">5</td>\n",
       "        <td class=\"number\">5</td>\n",
       "        <td class=\"number\">0.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:18%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">8</td>\n",
       "        <td class=\"number\">7</td>\n",
       "        <td class=\"number\">0.8%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:25%\">&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_Survived\">Survived<br/>\n",
       "            <small>Boolean</small>\n",
       "        </p>\n",
       "    </div><div class=\"col-md-6\">\n",
       "    <div class=\"row\">\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr class=\"\">\n",
       "                    <th>Distinct count</th>\n",
       "                    <td>2</td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <th>Unique (%)</th>\n",
       "                    <td>0.2%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (%)</th>\n",
       "                    <td>0.0%</td>\n",
       "                </tr>\n",
       "                <tr class=\"ignore\">\n",
       "                    <th>Missing (n)</th>\n",
       "                    <td>0</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "        <div class=\"col-sm-6\">\n",
       "            <table class=\"stats \">\n",
       "                <tr>\n",
       "                    <th>Mean</th>\n",
       "                    <td>0.38557</td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<div class=\"col-md-3 collapse in\" id=\"minifreqtable8939262731542409358\">\n",
       "    <table class=\"mini freq\">\n",
       "        <tr class=\"\">\n",
       "    <th>0</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 61.4%\">\n",
       "            545\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr><tr class=\"\">\n",
       "    <th>1</th>\n",
       "    <td>\n",
       "        <div class=\"bar\" style=\"width:63%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
       "             data-delay=500 title=\"Percentage: 38.6%\">\n",
       "            342\n",
       "        </div>\n",
       "        \n",
       "    </td>\n",
       "</tr>\n",
       "    </table>\n",
       "</div>\n",
       "<div class=\"col-md-12 text-right\">\n",
       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable8939262731542409358, #minifreqtable8939262731542409358\"\n",
       "        aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
       "        Toggle details\n",
       "    </a>\n",
       "</div>\n",
       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable8939262731542409358\">\n",
       "    \n",
       "<table class=\"freq table table-hover\">\n",
       "    <thead>\n",
       "    <tr>\n",
       "        <td class=\"fillremaining\">Value</td>\n",
       "        <td class=\"number\">Count</td>\n",
       "        <td class=\"number\">Frequency (%)</td>\n",
       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tr class=\"\">\n",
       "        <td class=\"fillremaining\">0</td>\n",
       "        <td class=\"number\">545</td>\n",
       "        <td class=\"number\">61.4%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr><tr class=\"\">\n",
       "        <td class=\"fillremaining\">1</td>\n",
       "        <td class=\"number\">342</td>\n",
       "        <td class=\"number\">38.6%</td>\n",
       "        <td>\n",
       "            <div class=\"bar\" style=\"width:63%\">&nbsp;</div>\n",
       "        </td>\n",
       "</tr>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "    <div class=\"row headerrow highlight\">\n",
       "        <h1>Correlations</h1>\n",
       "    </div>\n",
       "    <div class=\"row variablerow\">\n",
       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAssAAAKACAYAAABqlzV0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzs3XlcVPX%2Bx/EXi2DIIiiokdpiiIoamqloesV9K8RbLr/KzLQst6yuVmbmUllSXdRy6SZZmeba1estxdQWzeWqiZiWSkougDFsIvv5/UGOjjCJDTrT9H4%2BHvOY8Xu%2B53s%2B5yswn/nMd864GIZhICIiIiIiZbjaOwAREREREUelZFlERERExAolyyIiIiIiVihZFhERERGxQsmyiIiIiIgVSpZFRERERKxQsiwiIiIiYoWSZRERERERK5Qsi4iIiIhYoWRZRERERMQKd3sHICLyV9CwYUOr26pUqUL16tUJCwsjKiqK7t274%2BLich2jExERa1wMwzDsHYSIiLO7kCw3a9aMwMBAi235%2BfkcO3aMU6dOAdCpUydiY2Px8PC47nGKiIglJcsiItfBhWR57ty5dOnSpdw%2B8fHxPPvss%2BTm5vLII48wYcKE6xmiiIiUQ2uWRUQcRJcuXXj66acB%2BOSTT8jPz7dzRCIiojXLIiIOpFu3bkybNo3z589z8OBBwsPDLbZv376djz/%2BmH379pGRkYG3tzehoaH079%2Bfvn37ljtmRkYGixYtYuvWrRw/fpyCggL8/Pxo1qwZQ4cOpXXr1mX2iYyM5OTJkyxcuJD8/HzeeustkpOTiYuLo2XLlgD8%2BOOPvP/%2B%2B%2BzevZuUlBTc3d0JCgrirrvu4oEHHih3nXZ2djYffPABmzZt4vjx4xQWFlKzZk1atGjBww8/TNOmTS36//LLL3Tu3BmA/fv3c/ToUd5991327t1LRkYGQUFBdO7cmaeeegovL68/NOciIr9HlWUREQdSvXp18%2BOsrCyLbW%2B99RYPP/wwGzdupFq1arRu3ZqAgAC2b9/OM888w7hx4yguLrbYJy0tjejoaObNm8exY8do3Lgxbdq0wcPDg82bNzNkyBBWrlxpNZ5jx47x1FNPUaVKFdq0aUPVqlUB2LlzJ/3792f16tXk5%2BfTsmVLwsPDycnJ4dNPP%2BX%2B%2B%2B9n%2B/btFmOdPHmSfv36MXv2bI4cOUJoaCjh4eHk5%2Bezbt067r//fpYvX241lj179jB48GASExMJDQ3llltu4eTJkyxevJjRo0dXeI5FRK6KISIi11xISIgREhJibNy48Xf7HT161Nx3//795vaNGzcaISEhRqtWrYwtW7ZY7LNz504jIiLCCAkJMRYtWmSxbdq0aUZISIjRvXt34%2BzZs%2Bb2oqIiY8aMGUZISIjRsmVLIycnx2K/Tp06GSEhIUZkZKTx7rvvlonzvvvuM0JCQozXXnvNKC4uthj3rbfeMkJCQow%2BffpY7DN48GAjJCTEiI6ONlJSUsztxcXFxuzZs42QkBAjLCzMOHbsmHlbcnKyeT7%2B9re/GQsWLDBKSkrM2z/55BPz9h9%2B%2BOH3plZE5A9RZVlExIFs2LABAD8/Pxo1amRuf%2BeddwCYMGECHTt2tNinVatW/OMf/wDggw8%2BwLjkc9u1atWid%2B/ejBo1iho1apjb3dzceOqpp3B1dSU7O5t9%2B/aVG09JSQkjRowo0/7DDz8AEB0djavrxacSNzc3xowZw5gxY3jwwQcpKCgA4Pvvv2f37t0AvP766wQFBZn3cXV1ZdSoUTRp0oSCggKWLl1abizBwcEMHz7c4rJ6AwYMICAgwHwMEZHKpjXLIiIOYuvWrcyfPx%2BARx99FHf30j/RqampJCYmAtC1a9dy9%2B3SpQsuLi6cOnWKn3/%2BmVtuuQWA4cOHWz3eDTfcQI0aNUhLSyMtLa3cPm3atLFIhi/w9fXl7NmzrF%2B/nrFjx1psc3V15cknn7Ro%2B/rrr4HSq4LcdtttVs8hMTGxzPKNCwYMGFCmzcXFhbp165Keno7JZCp3PxERWyhZFhG5jubPn8%2BqVass2goKCvj5559JTk4GSqu1jz76qHn74cOHzY8nTpxodWx3d3cKCwstkuUL42/dupUDBw6QmppKVlaWufqcnZ0NlFaQy1OrVq1y24cMGUJMTAzvvPMOX3/9NX369KFt27ZWv3zlyJEjANx%2B%2B%2B1W47/11luB0nXS5alXr1657Z6engAUFhZaHVtE5I9Ssiwich3t37%2B/TJubmxv%2B/v507tyZAQMGlFlmkZmZaX68adOmKx7jQgIMcOjQIZ588kl%2B%2BeWXPxSvn59fue0XlmbMnz%2BfhIQEEhISAAgMDKRHjx4MGTKEunXrlonJ19fX6rF8fHyA0qQ3Ly/P/GHCC/QlLSJiD0qWRUSuo9/7UhJrLqzRrVKlCgkJCRX%2BKuy8vDxGjhzJqVOnuPnmm3niiSdo27Yt/v7%2BVKlSBbh4ibgrHbs8I0aMYODAgcTHx7N161a2bdtGWloaH374IcuWLeP111%2BnZ8%2BeFT7PS9dal7f0Q0TEHpQsi4g4uAuXkyssLMRkMpk/0HYlX331FadOncLFxYX58%2Bdz8803l%2Blz%2BeXprpavry/R0dFER0dTXFzMtm3bmDt3Lnv37uWFF16gTZs2%2BPv7myvUv3e8C9uqVq2qKrKIOAy9dBcRcXAhISHmxz/99FOF9/v555%2BB0rW%2B5SXKSUlJFks2bOXm5sbdd9/N4sWLqVWrFufOnTMvO7mwVvnHH3%2B0uv%2BFbb%2B3rllE5HpTsiwi4uACAwNp0qQJAJ9%2B%2Bmm5fZKSkrj33nt59913zW0X1gBb%2B9rsefPmmR9f/mUmv%2Bf777/n%2Beef5/333y93u4eHh/nYeXl5AOZ12D/%2B%2BGO5CXNJSYn5snl33313hWMREbnWlCyLiPwJPP744wCsW7eOuLg4i/W9x48fZ8yYMRw6dIjTp0%2Bb20NDQwE4c%2BYM8fHx5vbz588zffp0EhISzF%2Bnbe0KFOVxc3Nj5cqVxMbGsmXLljLbN27cyNGjR6lSpQotWrQAoHHjxrRv3x6A559/nvT0dHP/oqIi3njjDY4ePYqPjw8DBw6scCwiItea1iyLiPwJdOvWjREjRrBgwQJeffVVFi9ezK233orJZOKHH36guLiYO%2B64w%2BLScuHh4bRv355vvvmG0aNH07x5czw9PTlw4ADu7u68//77rF%2B/nr1797J48WIOHz7MyJEjadWq1e/GEhYWxujRo5k9ezaPPfYYwcHB1K9fH1dXV3755Rfz8o%2BJEycSGBho3u%2BVV15hyJAhJCQkEBkZSUhICJ6envz000%2BYTCaqVq1KTEyM1cvViYjYg5JlEZE/iaeffpq2bdvy8ccfs2/fPrZv346npydhYWH06tWLwYMHl/lg3Ntvv82sWbPYtGkTBw4cICgoiO7du/P4449Tr1496tSpw8GDB9mzZw8//fRTha%2B0MWrUKMLCwli1ahUHDhxg7969FBUVERgYSJ8%2BfXjggQfMVesLatWqxYoVK4iLi2Pjxo389NNPFBUVUatWLbp168awYcOoX79%2Bpc2XiEhlcDEufS9PRERERETMtGZZRERERMQKJcsiIiIiIlYoWRYRERERsULJsoiIiIhcV19//TURERE89dRTv9uvpKSEmJgYOnfuTKtWrRg2bBjHjx83bzeZTIwdO5aIiAjat2/Pc889x/nz5ys1ViXLIiIiInLdLFy4kOnTp1fo6jcffvgh//nPf1iwYAFbtmzh1ltvZdSoUeZrzU%2BaNIm8vDzWrVvHqlWrOH78OG%2B88UalxqtkWURERESuSmpqKomJiRa31NTUCu3r6enJihUrKpQsL1%2B%2BnIcffpjbbruNatWqMW7cOJKSkvj%2B%2B%2B85e/YsX375JU899RQBAQEEBQUxcuRIVq9eTWFhoa2naKbrLItzqeA1Yq%2B5W26Bn36C22%2BHpCR7R8OypY5zhchq1aBXL1i/Hs6ds3c00KOHvSO4yMUFfHwgOxsc4aKel12y2W5cXMDTE/LzHWNebshJs3cIF7m6QkAApKdDSYm9o4EDB%2BwdQamqVaFNG/juO/jtK9ftrlMn%2Bx37Gjw3LouNZc6cORZto0aNYvTo0Vfc96GHHqrQMfLy8jhy5AiNGzc2t1WrVo169eqRkJBAdnY2bm5uNGzY0Ly9cePG5ObmcuzYMYt2WyhZFrkWqlcHN7fSe7Hg4VH6/O7h4RjJsiNxcbl4c4Sk0JE4yutgh%2BPqWjo5rq6OkSw7Cnf30nlxV5pzrQwYMIDIyEiLtku/sbMyZGZmYhgGfn5%2BFu1%2Bfn6YTCaqV6%2BOt7e3xZcpXehrMpkqLQ79FImIiIjIVQkKCiIoKMguxzYM44rfNlrRbyOtCCXLIiIiIs7M9c/5EbXq1avj6upapkqcmZlJQEAAAQEBZGdnU1xcjJubGwAZGRkABAQEVFocf87ZExEREZGKcXWt/Nt14Onpye23305iYqK5LSsrixMnTtCsWTMaNWqEYRgcOnTIvD0hIQFfX19uueWWSotDybKIiIiIOISUlBR69OhBcnIyAIMGDWLx4sUcPXqUnJwcZs2aRaNGjWjatCkBAQF0796dt99%2Bm/T0dM6cOcPcuXP5%2B9//jnslrlfXMgwRERERZ%2BZgyzCaNm0KQFFREQDx8fFAaVW4sLCQpKQkCgoKABg4cCBnz55l%2BPDhnDt3jvDwcIurcEydOpUpU6bQp08f3N3d6dKlyxW/6ORqKVkWERERkesmISHB6rabbrqJw4cPm//t4uLC6NGjrV6SzsfHh5iYmEqP8VJKlkVEREScmYNVlv9slCyLiIiIODMlyzbR7ImIiIiIWKHKsoiIiIgzU2XZJkqWRURERJyZkmWbaPZERERERKxQZVlERETEmamybBPNnoiIiIiIFaosi4iIiDgzVZZtomRZRERExJkpWbaJZk9ERERExApVlkVEREScmSrLNtHsiYiIiIhYocqyiIiIiDNTZdkmSpZFREREnJmSZZto9kRERERErFBlWURERMSZqbJsE82eiIiIiIgVqiyLiIiIODNVlm2iZFlERETEmSlZtolmT0RERETEClWWRURERJyZKss20eyJiIiIiFihZFmuypo1a4iMjLwmY99///3Mnj37mowtIiLyl%2BXqWvm3vxAtw3ACBQUFzJ07l88//5yUlBQ8PT0JCQlh1KhRtG7dulKPFRUVRVRUVKWOKSIiItfQXyy5rWyaPSfwyiuvsHXrVmJjY/nf//7Hpk2biIiIYPjw4SQnJ9s7PBEREZE/LSXLTuC7776jd%2B/eNGzYEDc3N7y9vRk5ciTTp0/Hw8ODyMhIPvnkE3P/HTt20LBhQ/Lz8wFo2LAhcXFxtG/fnrlz5xIWFsbOnTstjtGvXz8WLFjAqlWraNeuHSUlJbRv357Vq1db9Bs1ahQvvfQSAIcOHWLIkCHceeedtGnThjfffJPi4mJz37lz59K%2BfXvatGnDO%2B%2B8c62mR0RE5K9NyzBsomUYTuDWW29l9erVtG/fnkaNGpnb77nnngqPER8fz5o1a6hRowb79%2B8nPj6eu%2B66C4CTJ0/yww8/EBsby65duwBwdXWlW7duxMfH069fPwDy8vL45ptvmD9/Prm5uTz66KMMHjyYhQsXkpKSwhNPPIGXlxePP/4433zzDQsWLOBf//oXTZs2Zf78%2Bfz444/cfffdFY45NTWVtLQ0i7bAW24hqHr1Co9xzYSGWt7bmb%2B/vSO4yMfH8t7eHOlv/oVYHCUmFxd7R1DqQhyOEg/uDvTU6eZmeW9v3t72jqCUl5flvYgNHOg3Xv6oyZMnM378eKKioggODqZly5Z07NiRbt264eHhUaExevbsSc2aNQHo0aMHs2fP5vnnnwdgw4YNNGvWjLp165qT5Qv9RowYQV5eHlWrVuWrr77C29ubVq1a8cUXX2AYBk888QQAdevWZdiwYcyfP5/HH3%2BcjRs30r59e%2B68804ARo4cyeLFi6/qvJctW8acOXMs2kaNHcvosWOvapxraskSe0cAQDd7B1COtm3tHYHjqlbN3hE4Jk9Pe0fwm6oO9OrzAl9fe0dQqlUre0dgqUkTe0fgGBzlFfiflJJlJ1C7dm2WLFnCkSNH2L59Ozt37mTSpEn885//5KOPPqrQGHXq1DE/7tKlCy%2B%2B%2BCKHDh0iNDSUDRs20KtXrzL73HnnnXh7e/PNN9/QpUsXNmzYQI8ePXB1dSU5OZlff/2Vpk2bmvsbhmFO3lNSUqhbt655W5UqVSxiqIgBAwaUuTJHYN%2B%2B8MEHVzXONREaWpooDx4Mhw7ZOxo2vLbH3iGY%2BfiUJsrbt0N2tr2jcayk3dW1NFE%2Bdw5KSuwdDVSpYu8ISrm4lCbK%2BflgGPaOBqqeN9k7hIvc3EoT5awsuGSZm90cOWLvCEp5eZUmyomJkJtr72hK2fOFhJJlmyhZdiINGjSgQYMGPPjgg6SlpXHfffeVmyyXlPMs7H7J24o%2BPj60a9eO%2BPh4atasyf79%2B3n77bfL7HNhKcamTZvo2LEjW7duZcGCBQB4enpy%2B%2B23s3bt2nJjLSgoKNPmdpVvIwYFBREUFGTZmJR0VWNcc4cOwd699o4CkwM9t1%2BQne0YcTlCUnq5khLHiMsREtNLGYaDxFRUZO8Iyioudoy4cnLsHYGl3FzHi0n%2BdPRS40/uzJkzTJkyhZzL/hgEBgYSGhpKTk4OHh4e5g/zAZw4ceKK4/bs2ZPNmzcTHx/PHXfcQa1ataz227JlC9u2bcPb25s77rgDgHr16pGcnMy5c%2BfMfU0mkznOoKAgTp8%2Bbd5WUFCgK3eIiIhcC/qAn03%2BWmfrhAICAti2bRvPPvssx44do6SkhPPnz7Nu3Tp27NhBjx49uPnmm/nyyy85f/48ycnJrFmz5orjdu7cmSNHjvDvf/%2B73CUYF7Rs2RI3Nzfee%2B89evbsictvn8Bp3749AQEBzJw5k5ycHNLS0hg7diyzZs0yb//222/Zv38/eXl5zJkzp9yKt4iIiIg9KVn%2Bk/Pw8ODDDz8kICCAYcOGER4eTkREBEuWLGHWrFm0bt2acePGkZGRQZs2bRg/fjyPPvroFcf18fGhbdu27Nu3jx49eljt5%2BrqSvfu3dm5c6dFUl2lShXeeecdjh07Rrt27YiKiuLmm29mwoQJAPTu3ZsHHniAxx9/nI4dO%2BLh4WGuSouIiEglUmXZJi6G4RArwEQqh6NcWyo8HPbsgRYtHGLN8rKljvNr7u8P3brBhg2OsWb5d14LXneurqUfgMzOdow1yxW8mM415%2BICVatCXp5jrFm%2BISftyp2uF3f30l8qk8kx1iwfOGDvCEp5e5d%2BoG7XLsdZs9ypk/2O3bJl5Y/5v/9V/pgO6q/10kBERERE5CroahgiIiIizuwvtmyismn2RERERESsUGVZRERExJmpsmwTJcsiIiIizkzJsk00eyIiIiIiVqiyLCIiIuLMVFm2iZJlEREREbmukpOTmTp1Kvv378fLy4sePXrwzDPP4ObmZtHvkUceYdeuXRZtxcXF3Hvvvbz66qvExsby7rvv4u5%2BMaX19PRk9%2B7dlRarkmURERERZ%2BaAleUxY8YQFhbGm2%2B%2BSXp6OiNGjKBmzZoMGzbMot/7779v8e%2B8vDx69%2B5Nnz59AMjKyuLvf/8706ZNu2axKlkWERERcWbXIFlOTU0lLc3y2ywDAwMJCgq64r4JCQkcPnyYuLg4fHx88PHxYejQocTFxZVJli83d%2B5cwsLCaNeuHVCaLFfkmLZQsiwiIiIiV2XZsmXMmTPHom3UqFGMHj36ivsmJiYSHByMn5%2Bfua1x48YkJSWRk5ODt7d3ufudOnWKjz76iHXr1pnbsrKyOH36NH379uXMmTM0bNiQiRMnEhYW9gfPrCwlyyIiIiLO7BpUlgcMGEBkZKRFW2BgYIX2zcjIwNfX16LtQuJsMpmsJssLFy6kZ8%2BeBAcHWxyzWrVqvPbaa/j6%2BjJ37lweeeQRPv/8cwICAq7mlKxSsiwiIiIiVyUoKKhSlz8YhgGAi4tLuduzsrJYsWIFK1eutGi/fK3ys88%2By7p169i0aRP33XdfpcSmZFlERETEmTnYB/wCAgIwmUwWbZmZmbi4uODv71/uPps2baJOnTqEhIT87thubm7UqVOH1NTUSovXsWZPRERERCqXq2vl32wQFhbGqVOnSE9PN7clJCTQoEEDqlWrVu4%2B8fHxdOjQwaLNMAxef/11Dh8%2BbG4rLCzkxIkT1K1b16YYL6VkWURERESum8aNG9OsWTNiYmLIycnh6NGjLFq0iEGDBgHQo0ePMtdJPnjwYJkE2MXFhePHjzN16lRSUlI4d%2B4cs2bNwsPDgy5dulRavEqWRURERJyZg1WWAWJjY/n111%2BJjIxkxIgRREVFMXjwYACSkpLIzc216J%2BWllbuGukZM2Zw0003ER0dTadOnThy5AiLFy/Gy8vL5hgv0JplEREREWfmYGuWAWrXrs28efPK3XbpsooLDhw4UG7f6tWrM3PmzEqN7XKON3siIiIiIg5ClWURERERZ%2BaAleU/E82eiIiIiIgVqiyLiIiIODNVlm2iZFlERETEmSlZtolmT0RERETEClWWRURERJyZKss20eyJiIiIiFihyrKIiIiIM1Nl2SZKlkVEREScmZJlmyhZFqeybKlh7xAA8PeHbsCG1/ZgMtk7Ghgw0MXeIVwUHg7d9tBtYgvYu9fe0bBwgWP8zADUqAHR0bBxI/z6q72jgeFRafYOoZS7O1T1p%2Bp5ExQV2TsaqF7d3hGU5e1t7wgAGL%2B2k71DACA4GJ5uBTFfteLkSXtHU%2BpNx5ga%2BQOULIuIiIg4M1WWbaLZExERERGxQpVlEREREWemyrJNlCyLiIiIODMlyzbR7ImIiIiIWKHKsoiIiIgzU2XZJpo9ERERERErVFkWERERcWaqLNtEybKIiIiIM1OybBPNnoiIiIiIFaosi4iIiDgzVZZtotkTEREREbFClWURERERZ6bKsk2ULIuIiIg4MyXLNtHsiYiIiIhYocqyiIiIiDNTZdkmmj0REREREStUWRYRERFxZqos20TJsoiIiIgzU7JsE82eiIiIiIgVqiyLiIiIODNVlm2i2RMRERERsUKVZRERERFnpsqyTZQsi4iIiDgzJcs20eyJiIiIiFihyrKIiIiIM1Nl2SaaPRERERERK1RZFhEREXFmqizbRMmyiIiIiDNTsmwTzZ6IiIiIiBVKluWqRUZG8sknn9g7DBEREakIV9fKv/2FaBnGX1RkZCQpKSm4/vYD7%2BnpSUhICGPGjKFNmzZ2jk5EREQqjQMmt8nJyUydOpX9%2B/fj5eVFjx49eOaZZ3Bzc7Pot3LlSl544QWqVKli0b5582Zq1qxJfn4%2B06dPZ%2BvWrRQUFNCqVStefvllAgICKi1Wx5s9uW4mTZpEQkICCQkJfP3113Tp0oXHHnuM5ORke4cmIiIiTmzMmDHUrl2b%2BPh44uLi%2BPLLL4mLiyvTLzs7m4iICHO%2BcuFWs2ZNAGJiYjh48CDLli3jiy%2B%2BwMXFheeee65SY1VlWQC44YYbeOSRR1i6dClfffUV0dHRzJgxg88//xw3Nze6devGiy%2B%2BiIeHh8V%2B%2Bfn5TJs2jS1btpCbm0vjxo2ZMmUKDRo0AGDFihUsWLCA1NRUAgICeOihh3j44YcBmD9/Pp988gkmk4natWszevRo%2BvTpU%2BGYU1NTSUtLs2grLg6kZs0g2yajEvj4WN7bXXi4vSO4KDTU8t7OatSwdwQXVa9ueW937g7yFHGh0nRZxUkcT3CwvSMoFRRkef%2BXdw0qy%2BU9BwcGBhJUgUlPSEjg8OHDxMXF4ePjg4%2BPD0OHDiUuLo5hw4ZZ9M3MzMTPz6/ccYqLi1m1ahUzZ86kTp06AIwbN45evXqRkpJCrVq1/uDZWXKQv4TiKIqLi3Fzc%2BPNN9/k6NGjbNiwAYARI0YwZ84cxo8fb9F/4cKFfP/996xbtw4vLy8mTZrEpEmTWLp0KadPn%2BbFF1/k/fffp23bthw6dIihQ4fSpk0bzp07x9y5c1m5ciUNGjRg586djBw5knbt2uHv71%2BhWJctW8acOXMs2p58chSDB4%2BunMmoBG3b2juC33TbY%2B8IylqyxN4RABBt7wDKERlp7wguqNjv4nXj62vvCBzXZW9R28vTT9s7AksPPmjvCJxXec/Bo0aNYvToKz8HJyYmEhwcbJEEN27cmKSkJHJycvD29ja3Z2Vlcfz4ce677z6SkpKoX78%2B48ePp127dhw/fpzs7GyaNGli7n/rrbdStWpVEhMTlSxL5Tp37hxLly4lPT2djh07EhMTw6uvvmpe8/PKK6%2BQmZlZZr8RI0YwZMgQfH4roXbv3p2xY8cCpW%2BdlJSUUK1aNQBCQ0P59ttvcXV1ZfPmzQB4eXnh4uJC69at2b17t3kNdUUMGDCAyMuyiu%2B/D%2BS3/N6ufHxKE%2BXt2yE7297RQLeJLewdwkWhoaWJ8uDBcOiQvaNh1STHeSFRvXppovzll5CRYe9oILqTyd4hlHJzK02Us7KguNje0cAlT%2BQOoUoVKCy0dxQAxMQ6RtIeFFSaKH/4IaSm2juaUnZ9IXENKsvlPQcHBgZWaN%2BMjAx8L3vxeyFxNplMFsly9erVCQoK4plnnuHGG29k2bJlPPbYY3z22WfmvOTysXx9fTGZKu/vl5Llv7Dp06fzyiuvAFC1alUaNWpEXFwcnp6eZGVlEXzJ%2B2khISHljpGens60adPYvXs3586dA6Dwtz/at99%2BO9HR0QwcOJCWLVty9913079/f2rUqEFERAR33XUX3bt3p02bNvztb38jKirK4hfkSoKCgsq83XPgAFTi74fNsrMdJJ69e%2B0dQVmHDjlEXL/%2Bau8IysrIcJC4iorsHYGl4mLHi0ksnDxp7wgspaY6Xkx2cQ2S5fKeg21hGAYALi4uFu2XV6qHDh3Kf/7zH9auXUuHDh2sjnX5OLbQB/z%2Bwi79gN%2BuXbtYvHgxzZs3N/%2BAlZSUXHGM8ePHk5uby2effcaBAwcs3pJxcXHh1VdfZe3atdx9992sXbuWXr16ceLECTw9PXnvvfdYunQpzZo1Y9GiRdxzzz3lVq9FRETEeQQEBJSp/GZmZuKcl85AAAAgAElEQVTi4lKhpZg33XST%2BbNQQJmxsrKydDUMubb8/f3x9fUlKSnJ3HbgwAFWrVpVpu/%2B/fu5//77qV27NlC6DumCkpISMjIyuO222xgxYgSrV6/Gz8%2BP%2BPh4ioqKyMrKIiwsjDFjxrB27VpMJhPffffdtT9BERGRvxIHu85yWFgYp06dIj093dyWkJBAgwYNzEs3L1iwYAE7duywaDt69Ch169albt26%2BPn5WeQeP/74IwUFBYSFhdkU46WULEu5oqOjee%2B990hJScFkMjF9%2BnSOHj1apl9wcDD79%2B%2BnoKCALVu2mH%2BgU1JSWL9%2BPf369TPvd/z4cTIzM6lXrx7/%2Bte/GDJkCGfOnAHg8OHDFBYWUq9evet3kiIiInLdNW7cmGbNmhETE0NOTg5Hjx5l0aJFDBo0CIAePXqwe/duAM6ePcvLL79MUlIS%2Bfn5LFq0iOTkZKKjo3Fzc%2BP%2B%2B%2B9n3rx5nD59GpPJxJtvvknXrl3Nl5arDFqzLOV6%2BumnmT59Or169aJKlSp069aNMWPGlOk3efJkXnzxRZYuXUrHjh15%2B%2B23efTRR%2BnduzcbN27kp59%2B4uGHHyYzM5OaNWsydOhQunTpQocOHTh16hRRUVGcP3%2BeOnXq8NJLL9GoUSM7nK2IiIgTc8AvJYmNjWXKlClERkbi4%2BNDVFQUgwcPBiApKYnc3FygNB8xDIOHHnqI3NxcQkJC%2BOCDD8xXuhgzZgy5ubkMGDCAoqIiIiIieOmllyo1VhfjwopqESewbJm9Iyjl7w/dusGGDY7xAb8BAyvvgw42Cw%2BHPXugRQuH%2BIDfwgWO8yewRg2IjoZVqxzjA37Do9Ku3Ol6cHcv/aUymRzjA34OcyHs3zjQ1TDGT3CMq2EEB5defSImxnE%2B4Pfmm3Y8%2BMyZlT/mhAmVP6aDcryXGiIiIiIiDkLLMEREREScmQMuw/gz0eyJiIiIiFihyrKIiIiIM1Nl2SZKlkVEREScmZJlm2j2RERERESsUGVZRERExJmpsmwTzZ6IiIiIiBWqLIuIiIg4M1WWbaJkWURERMSZKVm2iWZPRERERMQKVZZFREREnJkqyzbR7ImIiIiIWKHKsoiIiIgzU2XZJkqWRURERJyZkmWbaPZERERERKxQZVlERETEmamybBPNnoiIiIiIFaosi4iIiDgzVZZtomRZRERExJkpWbaJZk9ERERExApVlkVEREScmSrLNtHsiYiIiIhYocqyiIiIiDNTZdkmSpZFREREnJmSZZto9kRERERErFBlWURERMSZqbJsExfDMAx7ByFSWTIz7R1BKVdX8PGB7GwoKbF3NPDpp/aO4KIaNSA6Glatgl9/tXc0MHyEi71DuCg8HPbsgRYtYO9ee0fD2n87xtODnx906ABffeUYv%2BM33WTvCC664QYIDYVDh%2BD8eXtHA%2BE1k%2B0dQqkqVaB2bThzBgoL7R1Nqbp17XfsZcsqf8wBAyp/TAelyrKIiIiIM1Nl2SZKlkVEREScmZJlm2j2RERERESsUGVZRERExJmpsmwTJcsiIiIizkzJsk00eyIiIiIiVqiyLCIiIuLMVFm2iWZPRERERMQKVZZFREREnJkqyzZRsiwiIiLizJQs20SzJyIiIiJihSrLIiIiIs5MlWWbaPZERERERKxQZVlERETEmamybBPNnoiIiIgzc3Wt/JuNkpOTGT58OK1bt6ZTp07MnDmT4uLicvt%2B8skndO/enfDwcPr27Ut8fLx5W2xsLI0aNaJp06bm25133mlzfJdSsiwiIiIi19WYMWOoXbs28fHxxMXF8eWXXxIXF1emX3x8PDExMbzyyivs2rWLRx55hHHjxpGcnAxAVlYWf//730lISDDfdu/eXamxKlkWERERcWbXoLKcmppKYmKixS01NbVC4SQkJHD48GGeeeYZfHx8qF%2B/PkOHDmX58uVl%2Bubm5jJ%2B/HhatmyJu7s7/fr1o1q1auzbtw8oTZb9/PwqdboupzXLIiIiInJVli1bxpw5cyzaRo0axejRo6%2B4b2JiIsHBwRZJbuPGjUlKSiInJwdvb29z%2Bz333GOxb1ZWFufOnaNWrVrmf58%2BfZq%2Bffty5swZGjZsyMSJEwkLC7Pl9CwoWRYRERFxZtfgA34DBgwgMjLSoi0wMLBC%2B2ZkZODr62vRdiFxNplMFsnypQzDYNKkSTRv3py77rrLfMxq1arx2muv4evry9y5c3nkkUf4/PPPCQgIuNrTKpeSZRERERFndg2S5aCgIIKCgiptPMMwAHBxcSl3e2FhIRMnTuTIkSMsXrzY3D5t2jSLfs8%2B%2Byzr1q1j06ZN3HfffZUSm5JlEREREbluAgICMJlMFm2ZmZm4uLjg7%2B9fpn9eXh5PPPEE58%2Bf5%2BOPPy63zwVubm7UqVOnwuunK0If8BMRERFxZg526biwsDBOnTpFenq6uS0hIYEGDRpQrVo1i76GYfDUU0/h7u5OXFycRaJsGAavv/46hw8fNrcVFhZy4sQJ6tata1OMl1KyLCIiIiLXTePGjWnWrBkxMTHk5ORw9OhRFi1axKBBgwDo0aOH%2BfJva9eu5ciRI/zzn//E09PTYhwXFxeOHz/O1KlTSUlJ4dy5c8yaNQsPDw%2B6dOlSafFqGYaIiIiIM3PAb/CLjY1lypQpREZG4uPjQ1RUFIMHDwYgKSmJ3NxcAFauXMnJkyfNH%2Bi74N5772X69OnMmDGDV199lejoaAoLC2natCmLFy/Gy8ur0mJVsiwiIiLizBwwWa5duzbz5s0rd9ulyyo%2B%2BOCD3x2nevXqzJw5s1Jju5zjzZ6IiIiIiINQZVlERETEmTlgZfnPRLMnIiIiImKFKssiIiIizkyVZZsoWRYRERFxZkqWbaLZExERERGxQsmy2OSbb76hYcOGTJ482d6hiIiISHkc7Bv8/mz%2BWmcrlW758uX07NmT9evXk5eXZ%2B9wRERERCqVkmX5w0wmE5s2bWLs2LEEBATwxRdfmLelp6czZMgQmjVrRlRUFFu3bqVhw4b88ssvAJw8eZLHH3%2Bc1q1b06pVK1588UUl2yIiIteCKss20Qf85A/77LPPaNSoEbfccgt9%2B/Zl5cqV3HvvvQBMmzaN/Px8tmzZgslk4tlnnzXvZxgGI0eOJDw8nM2bN3P%2B/HnGjx/PjBkzmDZtWoWPn5qaSlpamkXbDTcEEhgYVDknaIMLf0cc5e9JjRr2juCi6tUt7%2B0uPNzeEVwUGmp5b2d%2BfvaOoJS3t%2BW9vd1wg70juMjT0/Le7qpUsXcEpdzdLe//6hzlyehPysUwDMPeQcifU58%2BfRg4cCAPPPAAJ06coHv37mzYsIHg4GCaN2/Om2%2B%2BSdeuXQFYsmQJL7/8Mps2bSI9PZ2BAweya9cuqlWrBsDu3bsZNmwY%2B/btw8XFpULHnz17NnPmzLFoe/LJUYwZM7pyT1REROTPLDGx8sds0qTyx3RQesklf8i%2Bffv4%2Beef6dWrFwD16tWjefPmrFq1igcffJCCggJuuukmc/9GjRqZHycnJ1NcXEybNm0sxiwuLsZkMhEQEFChGAYMGEBkZKRF2w03BJKd/UfPqvK4ukK1anDuHJSU2Dsa2LjR3hFcVL06REbCl19CRoa9o4Ho6S3sHcJFoaGwZAkMHgyHDtk7Gr56e4%2B9QwBKK8otWsCePZCTY%2B9oIMj%2Bb16ZeXrCLbdAUhLk59s7GgitfsbeIZRyd4eaNeHsWSgqsnc0pWrXtt%2BxVVm2iZJl%2BUOWL19OcXEx3bp1M7fl5eVx5swZHnjgAQDc3NzM21wv%2BUX19PTEy8uLvXv32hRDUFAQQZc9a2VmOkZyekFJiWPE8%2Buv9o6grIwMB4nLxp/Da%2BLQIYeIKzPT3hFYyslxjJh8fOwdQVn5%2BXD%2BvL2jAKoV2jsCS0VFUOhgMcmfjpJluWq5ubmsX7%2BeqVOn0rZtW3N7fn4%2B/fr14%2BDBg7i5uXH69GlCQkIAOHz4sLlfvXr1yM3NJTk5mbp16wKQk5NDYWEh/v7%2B1/dkREREnJ0qyzZRsixX7T//%2BQ%2Benp7ce%2B%2B9eHh4WGzr2rUrq1aton379ixatIgWLVqQmprKihUrzH1CQkIIDw9nxowZvPLKK7i7u/Pyyy%2BTlZXFwoULr/fpiIiIODclyzbR7MlVW7lyJX379i2TKANER0cTHx/P2LFjyc/Pp0OHDrzwwgs89thjwMXlGDExMRiGQefOnenatSvFxcW89tpr1/U8RERERK5ElWW5akuXLrW6rV27diQkJADwwQcfmBPq7777DldXV2rWrAlAcHAw8%2BfPv/bBioiI/NWpsmwTzZ5cE88//zzDhw8nKyuL7OxsFi1aRERERLnVaBERERFHpWRZrolnn30WPz8/OnfuTJcuXXBzc2PGjBn2DktEROSvR9/gZxMtw5Brwt/fn9jYWHuHISIiIn%2Bx5LayafZERERERKxQZVlERETEmamybBPNnoiIiIiIFaosi4iIiDgzVZZtomRZRERExJkpWbaJZk9ERERExApVlkVEREScmSrLNlGyLCIiIuLMlCzbRLMnIiIiImKFKssiIiIizkyVZZto9kRERERErFBlWURERMSZqbJsEyXLIiIiIs5MybJNNHsiIiIiIlaosiwiIiLizFRZtolmT0RERETEClWWRURERJyZKss2UbIsIiIi4syULNtEsyciIiIiYoUqyyIiIiLOTJVlm2j2RERERESsUGVZRERExJmpsmwTzZ6IiIiIM3N1rfybjZKTkxk%2BfDitW7emU6dOzJw5k%2BLi4nL7xsXF0b17d1q2bMmgQYPYv3%2B/eVt%2Bfj4vvvgiHTp0oE2bNowePZr09HSb47uUkmURERERua7GjBlD7dq1iY%2BPJy4uji%2B//JK4uLgy/eLj45k7dy6vv/463377LZ07d2bkyJGcO3cOgJiYGA4ePMiyZcv44osvcHFx4bnnnqvUWJUsi4iIiDiza1BZTk1NJTEx0eKWmppaoXASEhI4fPgwzzzzDD4%2BPtSvX5%2BhQ4eyfPnyMn2XL19OdHQ0zZs3p2rVqgwbNgxXV1e2bNlCcXExq1at4oknnqBOnTr4%2Bfkxbtw4tm7dSkpKSqVNn9Ysi1Px8LB3BKVcXErvq1QBw7BvLADDo9LsHcJF7u6AP9GdTFBUZO9oWFvbAf6DfuPnBx2Ar97eQ2amvaOBvve42DuEUuHhsGcPHca1gL177R0NzJ5t7wguCgyE0AGEfr8M0hzg97xzZ3tHUKpq1dL78%2BchL8%2B%2BsTipZcuWMWfOHIu2UaNGMXr06Cvum5iYSHBwMH5%2Bfua2xo0bk5SURE5ODt7e3hZ9e/XqZf63i4sLoaGhJCQk0KhRI7Kzs2nSpIl5%2B6233krVqlVJTEykVq1atpyimZJlERERESdmUPkvfAcMGEBkZKRFW2BgYIX2zcjIwNfX16LtQuJsMpkskuWMjAyLpPpCX5PJREZGBkCZsXx9fTGZTBU7kQpQsiwiIiLixEpKKn/MoKAggoKCKm0847e3YV1crpzYG4bxu/2utP1qac2yiIiIiFw3AQEBZSq/mZmZuLi44O/vb9Hu7%2B9fbl9/f38CAgIAymzPysoyb6sMSpZFREREnFhJSeXfbBEWFsapU6csLvGWkJBAgwYNqFatWpm%2BiYmJ5n8XFxdz8OBBmjdvTt26dfHz87PY/uOPP1JQUEBYWJhtQV5CybKIiIiIXDeNGzemWbNmxMTEkJOTw9GjR1m0aBGDBg0CoEePHuzevRuAQYMGsWbNGvbt28f58%2Bd599138fDw4G9/%2Bxtubm7cf//9zJs3j9OnT2MymXjzzTfp2rUrNWvWrLR4tWZZRERExIldizXLtoqNjWXKlClERkbi4%2BNDVFQUgwcPBiApKYnc3FwAOnTowPjx45k4cSJpaWk0adKEBQsWUPW3K56MGTOG3NxcBgwYQFFREREREbz00kuVGquSZREREREn5ojJcu3atZk3b1652w4fPmzx78GDB5sT6ct5eHgwefJkJk%2BeXOkxXqBlGCIiIiIiVqiyLCIiIuLEHLGy/GeiyrKIiIiIiBWqLIuIiIg4MVWWbaNkWURERMSJKVm2jZZhiIiIiIhYocqyiIiIiBNTZdk2qiyLiIiIiFihyrKIiIiIE1Nl2TZKlkVEREScmJJl22gZhoiIiIiIFaosi4iIiDgxVZZto8qyiIiIiIgVqiyLiIiIODFVlm2jZFlERETEiSlZto2WYYiIiIiIWKHKsoiIiIgTU2XZNkqWRURERJyYkmXbaBmGiIiIiIgVqiyLiIiIODFVlm2jyrKIiIiIiBWqLIuIiIg4MVWWbaNkWURERMSJKVm2TaUvw%2BjevTvLly8H4MEHH2TWrFlW%2BzZs2JCvvvqqzH7X2uTJk3n33Xevy7H%2BLFatWkW7du3sGsNTTz3FxIkT7RqDiIiIyKWuqrJcUFDA3Llz%2Bfzzz0lJScHT05OQkBBGjRpF69atAfjiiy/%2BUCB/dL8/YseOHbzyyisAHDlyhNjYWPbs2UN2djbVq1enffv2/OMf/8DPz%2B%2B6xXS9DBw4kP3797N582Zq1apl73BERETkGlNl2TZXVVl%2B5ZVX2Lp1K7Gxsfzvf/9j06ZNREREMHz4cJKTk69VjJUqJSWF1NRUmjVrRk5ODkOGDCE4OJi1a9eyb98%2BFi9eTFJSEuPHj7d3qJXuyJEj/Pjjj0RERLB69Wp7hyMiIiLi8K6qsvzdd9/Rv39/GjZsCIC3tzcjR44kODgYDw8PACIjIxk%2BfDiDBg0CIC8vj3HjxrF161Zq1qzJ008/TY8ePcqMfel%2BEydOpFq1ari7u7N69WpcXV155JFHGDFiBAAnTpxg3LhxHDlyhKZNmzJo0CCefvppDh8%2BTHFxMTNnzmT9%2BvXk5ORQv359JkyYQEREBFBaVQ4PD6dKlSokJiZy9uxZHn30Ufz9/QGoX78%2BM2fO5IcffsAwDHbu3MkjjzzCnDlzmD59OmlpabRr145Zs2ZRrVo1AOLj44mNjSU5OZkbb7yRAQMG8NBDDwGlS1GaN2/OM888A8Avv/xC586dWb9%2BPbfddhsrVqxgwYIFpKamEhAQwEMPPcTDDz8MwMmTJ5k2bRp79%2B6lpKSEHj168MILL1C1alVyc3OZMmUKX331Ffn5%2BTRs2JDJkyfTuHFjq/9/K1asoFOnTnTo0IG5c%2Bfy%2BOOPl%2BmzfPlyYmNjyc/Pp3v37rz44ovm/9ulS5fywQcfkJKSQv369Rk%2BfDi9evUCID09nSlTprBr1y4KCwtp2bIlU6dONVevGzZsyHPPPcd7773HoEGDePLJJ/n000%2BZN28emZmZ3HvvvZRc5Uvf1NRU0tLSLNp8fQMJDAy6qnGuBRcXy3u7c3egjye4uVne25kjvYHk7W15b3fh4faOoFRoqOW9vQUG2juCi3577jLf21vVqvaOoNRvz1vm%2B784VZZtZFyFkSNHGj179jQOHjxotU%2BnTp2MJUuWGIZhGA888IDRsmVLIz4%2B3sjPzzc%2B%2BOADo0mTJsaZM2cMwzCMkJAQY%2BvWrWX2mzBhgtG6dWtj1apVRkFBgbFixQojNDTUSElJMQzDMO677z5j9OjRRnZ2trFnzx6jS5cuRkhIiGEYhvHZZ58Z7dq1M06fPm0UFxcb//73v4127doZhYWFhmEYxgsvvGC8%2B%2B67hmEYRlpamtGkSRNjypQpRkZGRrnn89133xkhISHGmDFjjIyMDOPMmTNGz549jRkzZhiGYRg//PCD0bhxY2Pjxo1GQUGB8c033xhNmjQxtmzZYp6DN954wzxecnKyERISYhw5csQ4deqUERoaamzbts08Vps2bYwffvjBKCkpMfr27WtMnjzZOHfunHH27FnjoYceMiZNmmQYhmG88847xj333GOYTCajsLDQmD9/vhEdHW31/yU/P99o06aNsWXLFuPcuXPGHXfcYezcudO8feXKlUZYWJjx/PPPG9nZ2cZPP/1kREREGAsXLjQMwzDi4%2BONFi1aGLt27TLy8/ON1atXG6GhocahQ4cMwzCMiRMnGkOHDjXOnTtnZGdnG0OGDDHGjx9vHj8kJMT4v//7PyMtLc0oKSkxjh49ajRs2ND44osvjPz8fOPTTz81mjdvbkyYMMHqOVwuNjbWCAkJsbj985%2BxFd5fRETkr%2BDAgcq//ZVcVblp8uTJjB8/nqioKIKDg2nZsiUdO3akW7du5urj5Zo3b07nzp0BeOCBB5g7dy7btm2jX79%2Bv3us4OBgc59evXrx/PPP8/PPP2MYBt9//z1TpkzB29ub8PBwunXrxnvvvQdAVlYWbm5uVK1aFVdXV/r27Uvv3r1xdS1dcbJjxw769%2B8PQM2aNXnjjTd4%2BeWXWb58OaGhobRu3Zru3bvTrFkzi3iGDRuGn58ffn5%2BDBw4kI8%2B%2Bojnn3%2BelStX0rZtW7p06QJAu3bt6NSpExs2bKBjx46/e47Z2dmUlJSYK9ShoaF8%2B%2B23uLq6sn//fo4cOcInn3yCl5cXXl5ejB49mmHDhjF16lSL83R3d2f48OEMHz7c6rE2bdqEq6sr7dq1w93dnS5durBy5UpatWpl7lNQUMDYsWPx9vamQYMG9O7dm61bt/Loo4%2BycuVK%2BvTpw5133glAVFQUixcvZtOmTTRs2JApU6ZQVFSEl5cXUPpOwccff2wRQ8%2BePalZsyZQWo0PDQ2lW7duANx3333ExcX97nxdbsCAAURGRlq0%2BfoGkpd3VcNcEy4u4OkJ%2BflgGPaOBqqeN9k7hIvc3MDXF7KyoLjY3tHwVYKDVOQorSi3aAF79kBOjr2jgQ7jWtg7hFKhobBkCQweDIcO2TsamDDB3hFc5O8P3brBhg1gcoDf87vusncEpTw8IDgYTp6EggJ7R1PqllvsHYH8QVeVLNeuXZslS5Zw5MgRtm/fzs6dO5k0aRL//Oc/%2Beijj8r9wFiDBg3Mj11dXalVqxYpKSlXPNZNN91kfnzDDTcApUs6Lux76fZGjRqZH/fu3ZtVq1bRqVMnc%2BLat29fPDw8OH36NGfPniUsLMzcv2fPnnTu3Jldu3axc%2BdOvv32W9577z0GDhzIyy%2B/bO536623mh/feOONpKamAqXLKm677TaL2G%2B99VYSEhKueI6333470dHRDBw4kJYtW3L33XfTv39/atSoQXJyMsXFxbRp08Zin%2BLiYkwmE4MGDSI%2BPp6OHTvSvn17unTpQvfu3XGx8r7/ihUr6N27N%2B6/vR0fFRXFqFGjmDRpEt6/vefr5%2BdHUNDFJQw33ngjW7duNZ/n5bHccsstnD59GoDjx4/z6quvcuDAAfLy8igpKSnz81CnTh3z45SUFG688UaL7XXr1r3inF0qKCjIIl6A8%2BcdIzm9wDAcJJ6iIntHUFZxsUPElZlp7wjKyslxkLj27rV3BJYOHXKMmC5b/uUQTCbHiMsRqhWXKihwvJjsQMswbPOHLh3XoEEDHnzwQWbPns3GjRspLCzko48%2BKv8ArpaHMAwDT0/PKwfm%2BvuhuV2y3vHSvv7%2B/qxcuZIFCxZQt25d3nzzTQYOHEhRURE7duygRYsWVKlSxWIsDw8P2rVrx1NPPcWKFSt44403WLp0KceOHTP3Kb6sAnZpUnp5gmoYBoWFheXGfem6XBcXF1599VXWrl3L3Xffzdq1a%2BnVqxcnTpzA09MTLy8vEhISLG4HDx4kICCAevXq8d///pc33ngDX19fXnzxRZ588slyj3nq1Cm2bdvGp59%2Byp133smdd97JmDFjyM3N5b///e/vnsel7xiUl4gXFhZSUlLC448/Ts2aNfniiy9ISEjg%2BeefL9PX/ZJ1swXlvNJ3c5A1rCIiIiIXVDhZPnPmDFOmTCHnsvcGAwMDCQ0NLdN%2BQVJSkvlxcXExKSkpNl2yrEaNGgDmiibA4cOHzY8LCgo4d%2B4crVq1YsKECXz66ackJiZy6NAhduzYYb7EHZQuBVi0aFGZY9x9990AFud04sQJ8%2BNffvnFfA716tXj6NGjFvsnJSWZq6QeHh7kXfKq9tJxSkpKyMjI4LbbbmPEiBGsXr0aPz8/4uPjqVevHrm5uRZXGcnJycH029tsubm5FBUV0aFDB1566SXeeecdvvzyS/P2S61atYoGDRqwbt061qxZw5o1a/jss8948MEHWblypblfZmYm6enp5n%2BfPHmyQud59uxZTp48yYMPPkhAQAAAiYmJZeK4VFBQkMX/IVBmfBEREbFdSUnl3/5KKpwsBwQEsG3bNp599lmOHTtGSUkJ58%2BfZ926dezYsaPcK1wA7Nmzh6%2B%2B%2BorCwkKWLl1Kfn4%2B7du3/8MBBwcHc/vtt7Nw4ULOnz/Pvn372LBhg3n79OnTGTduHCaTCcMwSEhIoEqVKtx4443s2LGDuy5ZT%2BXl5UVMTAwffvghmb%2B955mSksLrr7/ObbfdRugln7x%2B//33yczM5MyZMyxbtoxOnToBpcs4tm3bxubNmykqKuKbb75h8%2BbNREVFAXDzzTezfft2MjIySE9PZ8mSJeYx169fT79%2B/cxJ4vHjx8nMzKRevXqEhIQQHh7OjBkzSE9PJysri5deeol//OMfAIwePZqpU6eSk5NDUVERiYmJVK9evcy1oUtKSli1ahX9%2B/fnpptusrj93//9H3v37jUf38PDg9mzZ5Obm8uxY8f473//S9euXYHSdeMXLq9XWFjImjVr%2BPHHH%2BnduzcBAQF4eXmxb98%2B8vPzWbNmDUeOHCEzM9PihcKl2rdvzw8//MCWLVsoKCjg448/rtDyHBEREbk6SpZtU%2BFk2cPDgw8//JCAgACGDRtGeHg4ERERLFmyhFmzZllUbC91//33s3LlSu666y4WL17MW2%2B9ha%2Bvr01Bv/766xw6dIiIiAjmzJnDiBEjzEsEnn76aby9venWrRstWrRg3rx5vP3225w/fx6TyWSxXjkiIoK5c%2BcSHx9P9%2B7dCQsLo3///hQVFfGvf/3LYglC17kGGVUAACAASURBVK5diY6OpmvXrtx2222MGTMGgDvuuIPp06cTExNDq1atmDlzJrNmzTIn5cOGDcPHx4eOHTvy0EMPmS8pB6Xrq%2B%2B55x4efvhhmjVrxvD/Z%2B/Ow6Iq3zeA38MiqAhKMuYC5g6U4rigImriAiIiruC%2BhyTutphLYKiVYv0Urczd1BBZLMRMMPct3EATDSQlkE2RRWSf3x98nZwAxQZ8x%2BH%2BXBcX8J4zh5thmWeeec97ZszAlClTFCcL%2Bvr6Qi6Xo1%2B/fhgwYACKi4vx%2BeefAwA%2B%2B%2BwzpKSkoHfv3rC2tsaRI0ewcePGMtNXzp49i9TUVDg7O5e5H1u0aAGZTKboLpuYmMDS0hIDBw7EmDFjYG9vrzgZ0tHREe7u7vjwww/RrVs3/PDDD9i2bRveeust6OjowMvLC5s3b0bPnj1x7do1bNiwAQ0aNFCcwPdvMpkMixcvxqefforu3bvj9u3bFT7hIiIiIhJFIperxelHL0Uul6OoqEgx9zgwMBDr169XnIxWlS5cuICJEyciKiqqUnOtSawnT0QnKCWRlC43mpenHif41c5RgxN/ntLRKT2DPyNDLU7w%2B/m8%2BqyZa2QE9O4NnDypHif4DXFWk4XCZbLSJUI6dVKPE/w2bBCd4B8mJoCrK%2BDvrx4n%2BP1v9Svh9PVLV5%2BIj1efE/yeWYzgVbt0qeqP2blz1R9TXf2nE/xEmzx5MhYvXownT54gNTUVe/fufeEybUREREREL%2Bu1LJZ9fHyQkZEBW1tbuLi4oHXr1oor5BERERHRPzhnWTVqdA3cyjM1NcXWrVtfydfq1q2b0mobRERERK%2BTmlbcVrXXsrNMRERERPQqvJadZSIiIiKqHHaWVcPOMhERERFRBdhZJiIiItJg7Cyrhp1lIiIiIg32uq2GkZGRgblz58LGxga2traK5YIr8uuvv8LZ2RkymQwDBgyAv7%2B/YltgYCDMzc3Rvn17pbf09PRK52FnmYiIiIjUxtKlS1FUVITQ0FAUFRVh3rx5WLNmDZYvX15m3%2BjoaCxatAjr1q1D3759ce7cOcycOROtWrVCly5dkJ2dDRsbG2zbtu0/52GxTERERKTBqqMTnJqairR/XTXSxMQEUqlUpeOmp6fj2LFjCA4OhrGxMQDAw8MDc%2BbMweLFixVXb34qIyMD7u7u6N%2B/PwDA1tYWbdu2RWRkJLp06YLMzEwYGRmplInFMhERERG9FH9/f/j5%2BSmNeXp6Yvbs2Sod9%2BbNm9DW1ka7du0UY5aWlsjNzcWdO3eUxgGgd%2B/e6N27t%2BLzoqIipKWloVGjRgCArKws3L17F6NGjUJ8fDyaN2%2BOBQsWoGfPnpXOxGKZiIiISINVR2fZ1dUVdnZ2SmMmJiYqH/fRo0cwMDCARCJRjD3tDGdkZLzw9mvXrkWdOnXg6OgIAKhfvz6kUikWLVqEJk2awN/fH%2B7u7jh48CBatWpVqUwslomIiIg0WHUUy1Kp9D9PuQgJCcEnn3xS7rZVq1ZVeLtnC%2Bh/k8vlWLt2LUJDQ7Fr1y7o6ekBQJlO95QpU3Do0CH8/PPPmDdvXqXyslgmIiIiolfGxcUFLi4u5W47c%2BYMsrOzUVxcDG1tbQCl3WYAijnM/1ZSUoLFixcjKioK%2B/btg6mp6XO/frNmzZCamlrpvFw6joiIiEiDvU5Lx1lYWEAulyMmJkYxFh0dDUNDQ7Ro0aLc26xatQp//vlnuYXy5s2bceHCBaWxuLi4FxbUz2KxTERERERqwdjYGPb29vj666/x8OFDJCcnY%2BPGjRg5ciR0dEonREyaNAlhYWEAgEuXLuGnn37C5s2bUb9%2B/TLHS09Ph7e3N%2BLj45Gfn4/t27cjISEBw4cPr3QmTsMgIiIi0mCv2xX8VqxYAS8vLzg5OUFHRwf9%2B/fH/PnzFdsTEhKQmZkJoPSiI9nZ2ejbt6/SMbp27Ypt27Zh4cKFkMvlmDhxInJzc9G2bVvs3LlTsVpGZbBYJiIiItJgr1uxXK9ePfj6%2Bla4/dixY4qPV61a9dyTAvX09LBkyRIsWbLkP%2BfhNAwiIiIiogqws0xERESkwV63zrK6YWeZiIiIiKgC7CwTERERaTB2llXDYpmIiIhIg7FYVg2nYRARERERVYCdZSIiIiINxs6yalgsExEREWkwFsuq4TQMIiIiIqIKsLNMREREpMHYWVYNi2XSKLVz0kRHKKWjA%2Bg3gP6TDKCoSHQaoH590QnKMjAQnQAA0KyZ6AT/qF279L1UCtSrJzYLAGDDBtEJSpmYlL7/6CMgTQ3%2BxmfPFp3gHzIZ4OoKfPEFcOWK6DTA%2BfOiE5R6%2Bn83JwfIzRWbhV57LJaJiIiINBg7y6phsUxERESkwVgsq4Yn%2BBERERERVYCdZSIiIiINxs6yathZJiIiIiKqADvLRERERBqMnWXVsFgmIiIi0mAsllXDaRhERERERBVgZ5mIiIhIg7GzrBp2lomIiIiIKsDOMhEREZEGY2dZNSyWiYiIiDQYi2XVcBoGEREREVEF2FkmIiIi0mDsLKuGnWUiIiIiogqws0xERESkwdhZVg2LZSIiIiINxmJZNZyGQURERERUAXaWiYiIiDQYO8uqYWeZiIiIiKgC7CwTERERaTB2llXDYpmIiIhIg7FYVg2nYRARERERVYCdZSIiIiINxs6yathZJiIiIiKqADvLRERERBqMnWXVsFgmIiIi0mAsllXDaRhERERERBVgZ5mIiIhIg7GzrJoa3VkODQ3FlClTKr3/33//jXbt2iEuLq7c7Zs2bcL48eMBAEFBQejZs2eFx1q7di0mTJjwcoGr0Yu%2Bt1dh3759sLOzE/b1iYiIiP7tPxfLdnZ2ePvtt9G%2BfXu0b98eXbp0wdixY3H%2B/PmqzPdSbty4gbNnz1Z6/4sXL8La2lrxeVRUFDw8PNCtWzd07NgR9vb2%2BPrrr5Gfn1%2Bp473//vv44YcfXjr3q7Ru3Tq0a9cOhw4dEh2FiIiIXoGSkqp/q04ZGRmYO3cubGxsYGtri8WLF%2BPJkyfl7nv%2B/Hm0a9dOUY8%2BfYuKivrf914CX19f9OvXD127dsW0adNw9%2B7dl8qjUmd56dKliI6ORnR0NE6dOoX%2B/fvD3d0dCQkJqhz2PwsMDHypYvnChQvo1q0bAODkyZMYP348LC0tcfToUfz%2B%2B%2B9YtWoVjh07hhkzZkAul1dX7FemuLgYwcHBGDRoEAIDA0XHISIiolfgdSuWly5diry8PISGhiIoKAh3797FmjVryt03Ozsbb731lqIeffrWoUMHAMDu3btx6NAhbN68GcePH0fLli3h6en5UnVdlU3DqF27NqZOnYpGjRrh5MmTAICHDx9izpw56NGjB7p06QJ3d3ekpKQobtOuXTvs2LEDtra22LhxIwDg3LlzcHV1hUwmQ69evbBjxw7F/hs2bICHhwe%2B//579OzZE127doWPjw8A4LPPPsPevXuxbds2DBgwAABw4MABDBw4EB07doSdnZ3SsVJSUpCamor27dujuLgYXl5eGDduHGbPng1DQ0Po6uqic%2BfO2Lx5M5o1a4aMjAzFbe/cuYNhw4ahY8eOGDduHJKTkxX5Ro8eXe79c%2BzYMdjb20Mmk2HBggXIy8tTbAsKCoKTkxO%2B%2BOILWFlZISkpCSUlJVi/fj369%2B8PKysrjBw5EjExMYrb2NnZISAgAO%2B99x5kMhn69euH06dPP/dndOLECWhpaeGDDz7A%2BfPnkZSUVGafqKgoODo6QiaTYdKkSUo/r8jISIwePRqdOnWCvb09vvrqK5T87y9GLpdj7dq16NOnD2QyGYYPH45Lly4pbjthwgSsWbMGzs7OmDp1KgDg2rVrcHZ2RseOHTFt2jQ8ePDgufmJiIhIs6Wnp%2BPYsWOYP38%2BjI2NIZVK4eHhgeDgYBQWFpbZPzMzE0ZGRhUeLyAgAJMnT0arVq1Qt25dzJs3D/Hx8bh27VqlM1X5CX7FxcXQ1tYGAKxZswY5OTmIiIhASUkJPD098eWXX8LX11exf3h4OEJCQvDGG2/g/v37eP/997Fs2TIMHToUsbGxmD59Ot544w0MGTIEAHD58mV06NABv/32Gy5duoTJkyfD2dkZy5Ytw%2B3bt2FlZYVFixbh/v37WLZsGbZt24YePXogJiYGU6ZMQffu3WFubo4LFy5AJpNBV1cXUVFRSExMLHcO8ZtvvolVq1YBAHJzcwGUFuHfffcddHR0MGHCBGzZsgVLly6t8D7JysrC/PnzsWDBAowZMwbnzp3DggULYGlpqdgnNTUVtWrVQmRkJHR0dLB9%2B3aEhobi%2B%2B%2B/R9OmTeHv74%2BJEyfi%2BPHjqFOnDgBg69at%2BPLLL2Fubg4vLy%2BsWrUKYWFhFeYICAiAk5MTmjZtis6dOyMoKAienp5l9tmyZQvq1q0LT09PLFu2DJs3b0Z6ejqmTZuGDz/8EKNGjcKtW7cwY8YMSKVSjBs3DgcPHkRwcDACAgLQqFEjrF%2B/HvPmzcOpU6cUxz506BDWr1%2BveIIyZ84cODo6IiAgADdv3sScOXOgo1P5X8nU1FSkpaUpjZno6EAqlVb6GNXmf38DivektmrXFp3gH3p6yu%2BFMzERnaBUgwbK70WTyUQn%2BIe5ufJ70f73%2BCScvr7y%2BxquOjrB5T4Gm5io/Bh88%2BZNaGtro127dooxS0tL5Obm4s6dO0rjQGmNlZmZiQkTJiAmJgZvvvkmZsyYAWdnZ%2BTl5SE2Nlap3qpbty7MzMwQHR2Njh07VipTlRXLjx8/xo8//oiHDx%2BiT58%2BAAAvLy8UFRUpijs7Ozvs2bNH6XaDBg1Cw4YNAZQWU23atMHw4cMBlHae3dzccPDgQUWxrK2tDXd3d2hpaaFHjx4wNjZGXFycot3%2BVHZ2NkpKSlC3bl0AgLm5Oc6cOQMtrdJm%2BrNTMBISEqCvr4/GjRtX6nsdO3as4pehR48eiI%2BPf%2B7%2Bp0%2Bfhr6%2BPiZMmAAtLS306dMHnTt3Vpp/k52djRkzZkBXVxdA6ZSSKVOmoEWLFgBKO7M7d%2B7E8ePH4ejoCADo27ev4vu2t7dHSEgISkpKFN/js9LS0nDy5EnMnz8fAODs7Ixvv/0Ws2bNgkQiUew3btw4NGnSBAAwadIkzJs3D0VFRQgNDUWTJk0wbtw4AED79u3h4uKCo0ePYty4cXByckLfvn0Vz%2B4GDRqEb7/9FqmpqYr7qkOHDoq8169fR0pKCjw8PKCnp4eOHTuiX79%2BOHHiRKV%2BBgDg7%2B8PPz8/pTHPWbMwe86cSh%2Bj2hkaik6gvv73uy6autQYz/rfn7145q6iEygbOFB0glKuana/AMDevaITqKc2bUQn0FjlPgZ7emL27NkqHffRo0cwMDBQqk2e1hbPvsr/VJ06ddCoUSMsWLAAFhYW%2BPXXX/Hxxx/DxMQELVu2hFwuL9N5NjIyKvdYFVGpWPbx8VF0XfX19WFhYYEdO3Yois67d%2B9i9erVuH79OvLy8lBSUoJGjRopHePZAvXevXuIjo5G%2B/btFWNyuVxRMAJAkyZNlIrB2rVrK01peOpp0e3m5obOnTujV69eGDFiBN544w0ApcXyyJEjAQASiQQlJSWQy%2BVKP5yKNGvWTPGxvr4%2BCgoKnrt/cnIy3nzzTaXcZmZmuHXrluJzQ0NDGBgYKN0XK1euVNy/QOkk9fv371eYo7i4GIWFhdArpy0VHByMNm3aoG3btgBKi1kfHx%2BcP38ePXr0UOzXqlUrxcdNmjRBYWEhHjx4gL///ltpGwC0bNkSv/32GwAgLy8Pq1atwqlTp5CVlaXY59n75mkR/vQ%2BMTAwgOEzxaSZmVmZ3M/j6upaZvUMEx0d4CX%2BAKqNtnZpoZyVBRQXi04DPPO7pRZ0dYFyXk4TISZOPYp2oLSj3KIFEB8PVPK84mplfs1fdIRSDRqUFsq//qoef99ffCE6wT/MzUsL5bFjgWem6gmzc6foBKX09UsL5T//BMqpEYR4prZ51aqjs1zuY3AlX40KCQnBJ598Uu62Z%2BuefyuvRnNzc4Obm5vi8yFDhiA8PBxBQUFYtGhRucepbL33lErF8tKlSzFmzJhyt5WUlGDmzJno3Lkzjhw5AmNjY%2BzZswdbt25VDvDMy%2B76%2Bvro06cPvv322wq/Znld0/JIJBKsXr0a06dPR0REBH7%2B%2BWds3boVAQEB0NXVxYMHDxRFefPmzVFQUIC7d%2B8qFeZVpbxi%2Bt/fx7%2BnH%2Bjr68PHxwf29vYVHrey9wVQ2qlOTExEly5dlHIFBgYqFcvPHvPp5Penxfe/f7Hkcrli/pC3tzdu3bqFffv2wczMDLGxsXBycqrwe6zMffIiUqm07Ms9aWlAUdFLHadaFRerVx4qo4ITrIXKz1eTXP96iVW4jAz1yHTliugEZcXEqEeu/01XVBt5eeqXSYDqKJbLfQyuJBcXF7i4uJS77cyZM8jOzlaa1vvo0SMAgLGxcaWO36xZM1y/fh3169eHlpZWmS5yZmZmpY8FVOM6y%2Bnp6Yp5wE8D3bhx47m3MTMzw%2B3bt5XOUExLS3th57Y8JSUlePToEVq1aoX33nsPwcHBMDIyQnh4OC5cuIBOnTopijcLCwuYmZlh27ZtZY7z4MEDODo6vnCqxfNIpVIkJycrToYD8ML1jE1NTZU6z0DpWsj/xcWLF/H3338jICAAISEhirc1a9bg6NGjyM7OVuz77PeZlJQEfX191K9fH2ZmZrhz547ScePj42Fqagqg9MRAZ2dnNG/eHBKJ5IU/a6lUipycHKWvLXKNZyIiIhLPwsICcrlcaVGD6OhoGBoaltvQ3L9/P44cOaI0FhcXB1NTU%2Bjp6aFNmzZKNUlWVhbu3btXZvru81RbsWxsbIw6derg6tWryM/PR0hICGJjY5GZmVnutAkAGDx4MB49eoRNmzYhLy8PCQkJmDp1KnZW8mUdPT093L17FxkZGQgLC8OwYcMUBdjdu3eRmZkJMzMzpfnKQGlH08vLC8HBwVi1ahUePnyIoqIiREZGYvLkyWjdurVKHecePXogJycH/v7%2BKCgoQHh4%2BAvPwnRzc8OePXtw9epVFBcXIywsDE5OTuWuYPEiAQEB6N27NywsLNCsWTPFm6OjI%2BrXr4/Q0FDFvnv27EFKSgqys7Oxa9cu9O/fHwDQr18/3Lt3D/7%2B/igsLERUVBSCg4MxbNgwAKXP4qKjo1FQUIDLly8rfnGfXU3jWVZWVqhXrx62bNmCgoICREZGKqZ0EBERUdV5nZaOMzY2Vlzn4uHDh0hOTsbGjRsxcuRIRZNz0qRJigUNnjx5ghUrVuD69esoLCxEWFgYTp06pZj5MGbMGOzatQtxcXHIycnB2rVrYWFhoTTl90WqrVjW0dGBl5cXNm/ejJ49e%2BLatWvYsGEDGjRogIEVnKTRoEEDbNq0CREREejatSvGjx%2BPvn37KpYae5Hhw4fjzJkzcHBwwKBBg%2BDs7IzJkyejQ4cOmDFjBqZMmYL%2B/fvjwoULShcjAYCePXtiz549%2BOuvv2Bvb4%2BuXbvC29sbI0aMwFdffaXSfdG4cWOsWbMGW7duhbW1NX766SeMHTv2ubcZOXIkxo4dC09PT3Tu3BlbtmzBhg0blOb9VkZ2djZ%2B/fVXjBgxosw2LS0tuLi4KK257ObmhilTpqB3796oVauWYk5R06ZN4efnB39/f1hbW%2BODDz7AnDlzFC%2BjLFy4ELGxsbC2toafnx%2B8vb3Rp08fTJ8%2BXenZ4VP6%2BvrYuHGj4mft5%2BdX6Z8zERERaa4VK1bA0NAQTk5OGD16NDp06KBYoAAoXZghMzMTADBx4kSMHTsWc%2BbMgbW1NbZs2YJNmzbh7bffBlBa1wwfPhwzZsxAv379kJqaWubExBeRyDXhahtET6nDfEYA0NEpPSkpI0M95izXry86gTI1OsHvynX1OcGvdu3S87ViYtRjzrLszMs9oFQbE5PSFSj8/dXjb1zFs/2rlEwGXL4MdOqkHnOWBV7FV0mdOqUn1EVHq8%2Bc5Wde0X7VFi%2Bu%2BmOuXl31x1RXVb7OMhERERGpj%2Bq%2B4p6mq7ZpGERERERErzt2lomIiIg0GDvLqmGxTERERKTBWCyrhtMwiIiIiIgqwM4yERERkQZjZ1k17CwTEREREVWAnWUiIiIiDcbOsmpYLBMRERFpMBbLquE0DCIiIiKiCrCzTERERKTB2FlWDTvLREREREQVYGeZiIiISIOxs6waFstEREREGozFsmo4DYOIiIiIqALsLBMRERFpMHaWVcPOMhERERFRBdhZJiIiItJg7CyrhsUyERERkQZjsawaTsMgIiIiIqoAO8tEREREGoydZdWws0xEREREVAF2lomIiIg0GDvLqmGxTERERKTBWCyrhtMwiIiIiIgqwM4yERERkQZjZ1k17CwTEREREVWAnWUiIiIiDcbOsmpYLJNmuX5ddIJSBgZA165AbCyQkyM6DRb83Fd0BIWmTYGFCwHf9bpITBSdBlg3P0F0hH/o6gJ4E%2Bb1k4G6haLTAP36iU5QSl%2B/9L21NZCXJzYLAJw/LzrBP%2BrUKX2/cyeQmys2CwB07y46QSmZDLh8GZg0CbhyRXSaUnK5sC/NYlk1nIZBRERERFQBdpaJiIiINBg7y6phZ5mIiIiIqALsLBMRERFpMHaWVcNimYiIiEiDsVhWDadhEBERERFVgJ1lIiIiIg3GzrJq2FkmIiIiIqoAO8tEREREGoydZdWwWCYiIiLSYCyWVcNpGEREREREFWBnmYiIiEiDsbOsGnaWiYiIiIgqwM4yERERkQZ73TrLGRkZ8PLywu%2B//w4tLS306tULy5cvR%2B3atcvsu3TpUhw8eFBprKSkBJ06dcLu3bsRGBiIJUuWQFdXV2mf3377DQ0bNqxUHhbLRERERBrsdSuWly5diqKiIoSGhqKoqAjz5s3DmjVrsHz58jL7%2Bvj4wMfHR/G5XC7HmDFjMGTIEABAdnY2bGxssG3btv%2Bch9MwiIiIiEgtpKen49ixY5g/fz6MjY0hlUrh4eGB4OBgFBYWvvD2/v7%2BKCkpwahRowAAmZmZMDIyUikTO8tEREREGqw6OsupqalIS0tTGjMxMYFUKlXpuDdv3oS2tjbatWunGLO0tERubi7u3LmjNP5vjx8/xldffYVvvvkGEokEAJCVlYW7d%2B9i1KhRiI%2BPR/PmzbFgwQL07Nmz0plYLBMRERFpsOoolv39/eHn56c05unpidmzZ6t03EePHsHAwEBR7AJQdIYzMjKee9t9%2B/bB3NwcnTp1UozVr18fUqkUixYtQpMmTeDv7w93d3ccPHgQrVq1qlQmFstERERE9FJcXV1hZ2enNGZiYlKp24aEhOCTTz4pd9uqVasqvN2zBfS/lZSUYOfOnVixYoXS%2BL%2BL9ylTpuDQoUP4%2BeefMW/evErlZbFMREREpMGqo7MslUr/85QLFxcXuLi4lLvtzJkzyM7ORnFxMbS1tQGUdpsBwNjYuMJjRkZGIicnp1LTK5o1a4bU1NRK5%2BUJfkRERESkFiwsLCCXyxETE6MYi46OhqGhIVq0aFHh7cLDw9G9e3fUqlVLaXzz5s24cOGC0lhcXBxMTU0rnYnFMhEREZEGKymp%2BrfqYmxsDHt7e3z99dd4%2BPAhkpOTsXHjRowcORI6OqUTIiZNmoSwsDCl2/3xxx/lFsDp6enw9vZGfHw88vPzsX37diQkJGD48OGVzsRpGEREREQa7HVbZ3nFihXw8vKCk5MTdHR00L9/f8yfP1%2BxPSEhAZmZmUq3SUtLK3dayMKFCyGXyzFx4kTk5uaibdu22LlzJxo1alTpPCyWiYiIiEht1KtXD76%2BvhVuP3bsWJmxI0eOlLuvnp4elixZgiVLlvznPCyWiYiIiDTY69ZZVjecs0xEREREVAF2lomIiIg0GDvLqmGxTERERKTBWCyrhtMwiIiIiIgqwM4yERERkQZjZ1k17CwTEREREVWAnWWqFDs7O6SkpEBLS/n5lYmJSbnrHRIREZF6YGdZNSyWqdKWLl2KMWPGiI5BREREL4HFsmo4DYNUJpfLsXbtWvTp0wcymQzDhw/HpUuXFNsnTJiANWvWwNnZGVOnTgUAJCYmYubMmejWrRu6du2KZcuWIS8vT9S3QERERFQudpZJZQcPHkRwcDACAgLQqFEjrF%2B/HvPmzcOpU6cU%2Bxw6dAjr169H%2B/btIZfL4eHhAZlMht9%2B%2Bw1PnjzBggULsHLlSnz22WeV/rqpqalIS0tTGjPJy4O0YcMq%2B97%2Bszp1lN8L1rSp6AT/kEqV3wunqys6wT90dJTfi6avLzpBqVq1lN%2BLVlQkOsE/nv6M1OVnJZOJTlDK3Fz5fQ3HzrJqJHK5XC46BKk/Ozs7zJgxo9xpGEVFRXj8%2BDGMjIwAADExMRg6dChOnToFqVSKCRMmoEGDBli/fj0AICoqCm5ubvj9999Rt25dAEBkZCSmTZuGq1evQiKRVCrThg0b4OfnpzTmOWsWZs%2BZo8q3SkREpFHefrvqj3njRtUfU12pSfuCXgc%2BPj5YtWqV0lj37t3x1VdfYdWqVTh16hSysrIU2woKChQfN2nSRPFxQkICiouL0b17d6VjFRcXIyMjA8bGxpXK4%2BrqCjs7O6Uxk3v3gN9/r/T3VG3q1Cn973TjBpCbKzoNfE92FR1BQSoFJkwAdu8GUlNFpwEWjksWHeEfOjpAw4ZAerp6dC%2BfPBGdoFStWqUvjyQmAs/8XxEmJ0d0gn/o6wNt2gB//gmow1S2SZNEJyhlbg7s3QuMHQvExIhOU%2BryZWFfmp1l1bBYpkqr6AS/Dz74ALdu3cK%2BfftgZmaG2NhYODk5Ke2j88zLynp6eqhTpw6uXLmiUh6pVArpv1/LT01Vrwey3Fy1yJOYKDpBWampapKrsFB0grKKitQjlzoUX88qKFCPTGrwBLiMvDz1yKXi//UqFxOjfpkEYLGsGp7gRyqLioqCs7MzmjdvDolEghsv8b3NPgAAIABJREFUeG3GzMwMubm5SEhIUIzl5OQgIyOjuqMSERERvRQWy6SyZs2aITo6GgUFBbh8%2BTKOHDkCAEhJSSl3/7Zt20Imk2HlypV4%2BPAhsrKy8Omnn%2BLDDz98lbGJiIhqhJKSqn%2BrSVgsk8oWLlyI2NhYWFtbw8/PD97e3ujTpw%2BmT5%2BOmArmivn6%2BkIul6Nfv34YMGAAiouL8fnnn7/i5ERERETPxznLVCnPu0qfpaUlDh06pDS2efNmxce7d%2B8uc5umTZviu%2B%2B%2Bq7qAREREVK6a1gmuaiyWiYiIiDQYi2XVcBoGEREREVEF2FkmIiIi0mDsLKuGnWUiIiIiogqws0xERESkwdhZVg2LZSIiIiINxmJZNZyGQURERERUAXaWiYiIiDQYO8uqYWeZiIiIiKgC7CwTERERaTB2llXDYpmIiIhIg7FYVg2nYRARERERVYCdZSIiIiINxs6yathZJiIiIiKqADvLRERERBqMnWXVsFgmIiIi0mAsllXDaRhERERERBVgZ5mIiIhIg7GzrBoWy0REREQajMWyajgNg4iIiIioAuwsExEREWkwdpZVw84yEREREVEF2FkmIiIi0mDsLKuGxTIRERGRBmOxrBpOwyAiIiIitRIdHY0BAwZg9OjRL9x3x44dsLe3R%2BfOnTFmzBhERUUptuXn52PZsmXo3bs3unfvjtmzZ%2BPhw4cvlYXFMhEREZEGKymp%2Brfq9NNPP2H27Nlo3rz5C/cNDw/Hxo0b8eWXX%2BLMmTPo168fPDw88PjxYwCAr68v/vjjD/j7%2B%2BPIkSOQSCRYvHjxS%2BVhsUxEREREaiM/Px/%2B/v6wsrJ64b4BAQEYPnw4rKysoK%2Bvj2nTpkFLSwvHjx9HcXExgoKC8P7776Nx48YwMjLCvHnzcOLECaSkpFQ6D%2BcsExEREWmw6ugEp6amIi0tTWnMxMQEUqlU5WOPGjWq0vveuHEDjo6Ois8lEgnMzc0RHR0NCwsLZGdn4%2B2331Zsb9myJfT19XHjxg00atSoUl%2BDxTJplr59RScAUPpPxH/DBri6ulbJPw5VrVOPuwVA6X2zYYM/JkxQj/sGMBUdQEHp98ZUfXKJpnS/tGghOo5aUbf/NZDLRScA8Mz98ssv6nG/CFYdP5YNG/zh5%2BenNObp6YnZs2dX/Rd7jkePHsHIyEhpzMjICBkZGXj06BEAwNDQUGm7oaEhMjIyKv01OA2DqBqkpaXBz8%2BvzLNu4n3zPLxvysf7pWK8b8rH%2B6X6ubq6IigoSOnN1dW1UrcNCQmBpaVluW8hISEqZ5PL5ZBIJP95%2B7%2Bxs0xEREREL0Uqlf7nrr2LiwtcXFyqJEeDBg3KdIkzMzPRpk0bGBsbAwAyMjJQp04dxfasrCzFtspgZ5mIiIiIXkvvvPMObty4ofi8uLgYf/zxB6ysrGBqagojIyOl7bdv30ZBQQHeeeedSn8NFstERERE9NpwcHBAZGQkAGDMmDEICQnB1atX8eTJE3zzzTeoVasW3n33XWhra2P06NH49ttvcf/%2BfWRkZGDdunUYMGAAGjZsWOmvx2kYRNXAxMQEnp6eMDExER1F7fC%2BqRjvm/LxfqkY75vy8X55vdnb2yMpKQnFxcUoKSlB%2B/btAQC//PILmjZtivj4eOTm5gIAevfujQULFuDjjz9GWloa3n77bWzevBn6%2BvoAgDlz5iA3Nxeurq4oKiqCjY0NPv3005fKI5HL1eTUVSIiIiIiNcNpGEREREREFWCxTERERERUARbLREREREQVYLFMRERERFQBFstERERERBVgsUxEREREVAEWy0REREREFWCxTERERERUARbLREREREQVYLFMRERERFQBHdEBiIgIyMjIQIMGDUTHEGbx4sWV3nf16tXVmET92NnZQSKRVGrfiIiIak5DVPOwWCZSgZ%2BfX6X39fT0rMYk6i8zMxNGRkYAgOzsbJw/fx6mpqYwNzcXnEycgoIC%2BPj44KeffkJRURGuX7%2BOR48e4aOPPsLq1athbGwsOuIrk5%2Bfr/i4pKQEJ06cQNOmTWFqagptbW3ExcUhJSUFgwYNEphSjPfee0/x8YMHD7B//37069cPZmZm0NLSQmxsLI4fP46pU6cKTKleavqTT6paLJaJVHDq1Cmlz2/fvg0dHR00btwY2traSEhIQElJCWQymaCE6uHQoUP49NNPERkZiZycHLi4uCAjIwOFhYXw8vLCiBEjREcUwsfHBwkJCdiyZYui0NHV1YWBgQF8fHywbt06wQlfnWe/188%2B%2BwyffPIJRo0apbTPnj17EBsb%2B6qjCefm5qb4ePr06Vi/fj2srKyU9omMjMSmTZswefLkV5xOffDJJ1UXiVwul4sOQaQJvvnmGxQVFcHDwwM6OqXPQwsKCuDn5wc9PT3MmjVLcEJxBg0aBG9vb1hbW2PPnj3Yvn07fv75Z8TExGDJkiUICwsTHVGIbt264fDhwzA2NoaVlRWuXbsGAMjKyoK9vT3OnTsnOKEYXbt2xblz5xR/R08VFBTAxsYGkZGRgpKJJ5PJcOHCBdSqVUtpvKCgAN26dcOVK1cEJRNv%2BfLlSEhIwKxZszB16lRERUXh8ePHWL58OeRyeY168klViyf4EVWR3bt3w93dXekBvlatWpg1axZ%2B%2BOEHgcnES05OhrW1NQDg%2BPHjcHFxQe3atSGTyXD//n3B6cSRSCSoW7dumfHi4mKlaQk1Tb169XD8%2BPEy4%2BfOnYOBgcGrD6RGzMzM8H//93/IyclRjOXk5GDTpk1o1qyZwGTiHTlyBL6%2BvujSpYtijnfdunXx6aef1tgnnlQ1OA2DqIpoaWnhxo0bZaZc3Lp1C1paNft5af369REXF4fatWvj/PnzmD9/PgAgJSUF%2Bvr6gtOJI5PJ8MUXX%2BCDDz5QjCUmJmLlypWKJxc10cyZMzF79mxYWFigSZMmAICkpCTExMS81ImAmmjFihWYO3cutm/frnjikJOTg3r16mHjxo2C04nFJ59UXVgsE1WRMWPGYMqUKejVq5fiAf7%2B/fs4ffo0JkyYIDidWG5ubhg%2BfDgkEgm6d%2B8OS0tLZGdnw8PDAw4ODqLjCbNs2TJ4eHiga9euKCoqQufOnZGbm4uOHTvW6JeMR48ejS5duiAiIgIpKSkoKCiAubk5li9fjo4dO4qOJ5SVlRWOHTuG69evIzk5GQUFBZBKpbCysoKenp7oeELxySdVF85ZJqpCp0%2BfRnh4OJKTk1FYWAipVApbW1sMHjxYdDThLl%2B%2BjKysLNjY2KBWrVooLi7G1q1bMXny5DLzL2uaqKgo/P3339DT04OZmRnatGkjOpJQ33zzDTw8PETHUEvTpk3D1q1bRcdQS0lJSfDw8EBcXByKiopQt25d5ObmQiaTwdfXF40bNxYdkV5TLJaJ6JW4ffs22rZtCwBISEhAREQEzMzMYGdnJziZOElJSRVu09LSQsOGDcuc5FYT9OrVCwcPHuTqBeUYOnQoVq5ciXfeeUd0FLUVHR2NhIQEPvmkKsNimaiKyOVyfP/99wgJCUFaWhp%2B//13PH78GL6%2Bvvjoo49q9EukO3fuxObNm3HmzBk8fPgQjo6OMDIyQlZWFqZMmaK0jmxNYm5u/tyLTWhpacHGxgY%2BPj5o1KjRK0wm1o4dOxAREQFHR0c0bty4zBMGW1tbQcnEW7t2LcLCwtChQwc0btwYurq6StsXLFggKJl47LpTdal5LQuiavL111/j%2BPHjcHd3x7JlywAAhYWFiIuLw%2BrVq%2BHl5SU2oEC7du1SPIgFBgZCKpUiODgYf/31F9zd3Wtssfzdd9/h//7v/zBq1ChYWFhAS0sLMTExCAwMxMyZM1G7dm3s2LEDPj4%2B2LBhg%2Bi4r8znn38OAPj999/LbJNIJLh58%2BarjqQ2rl27hqZNm%2BLBgwd48OCB0rbKXuVPU6Wnp%2BP69evsulOVY2eZqIrY2NggICAATZs2VVozNy0tDcOGDcPp06cFJxRHJpMp1n%2BdMGECevfujRkzZgAAOnbsiKtXr4qMJ8zw4cPh6%2BuLFi1aKI3HxcVh2bJl2Lt3L7KzszFgwACcP39eUEp6XTw71akmYtedqgs7y0RVpLCwEG%2B%2B%2BWaZ8dq1a%2BPx48cCEqkPqVSKixcvonbt2rh8%2BTK8vb0BAHfu3IGhoaHgdOLExcWVOy%2B3UaNGuHXrluLzkpKSVxlLbRUUFGDgwIHlrsFc06Snp6OgoEDxeUpKCqZNm4bLly8LTCUWu%2B5UXVgsE1WRt99%2BG1u2bIG7u7ti7MmTJ1i7dm2Nf1lwxowZmDx5MuRyOYYNG4aWLVsiMzMT06dPr7GXugZKu%2BoeHh6YNm0amjZtCh0dHSQlJWH79u0wNzdHYWEhZs%2BeDRsbG9FRX6mUlBSsWbMGN27cUCoIs7KyUL9%2BfYHJxLt8%2BTLmzZuHtLS0Mtt69%2B4tIJH62L17d4Xbbt%2B%2B/QqTkKbhNAyiKhITE4Pp06cDAB48eIA2bdogISEBxsbG2LRpE9q1ayc4oVjJycnIzs5WnJkul8sRFhYGW1tbGBkZCU4nRkZGBlasWIGIiAhFUaitrY1evXph7ty5sLCwwJIlS/Dhhx/WqPto5syZyM/Ph52dHb744gssXrwYN27cQFxcHDZs2ACpVCo6ojAjRoyAra0tBg0ahFGjRiE4OBjXr1/Hr7/%2BihUrVqBhw4aiIwrHrjtVNRbLRFXoyZMnOH78OBISEqCvrw8zMzPY2trWyOW/KiMlJQVDhgzBxYsXRUcRSi6XIyMjAwDwxx9/ICgoCBEREYp57zWNtbU1jh8/jjp16ijN/w8JCUF0dLTiBNqaqFOnTrh06RIkEgk6dOiAqKgoAKUd540bN9bo1SBe1HX/7rvvBKQiTcBHcKIq4u3tjcGDB2PQoEGio6iduLg4LF26FDdu3EBhYaHSNgsLC0Gp1EdSUhKCgoIQHByMhw8fon///vjmm29ExxJGR0cH2traAAA9PT1kZmbCyMgIjo6OWLVqVY0ulg0NDZGamopGjRqhXr16SEhIgKmpKdq3b1/jO6crV67EsGHDKuy6E/1XLJaJqkhaWhpmzJiBevXqwcHBAU5OTujQoYPoWGrBy8sLZmZmmD59OubOnYuNGzfi%2BvXruHjxIv7v//5PdDwhCgoKcOTIERw4cACRkZHo0KED0tPTERwcjFatWomOJ1SXLl0wa9YsrF%2B/Hu%2B88w5Wr16N8ePH4%2BrVqzX%2Bao9OTk4YMWIEDh8%2BDFtbW8yePRvOzs6Ijo5G06ZNRccTKj4%2BHgcOHIBEIoFEIkHr1q3RunVrmJmZ4aOPPqrRXXdSDadhEFWh/Px8nDhxAkePHsWJEydgYGAAR0dHODo6wtLSUnQ8Ybp06YJz585BV1dX6aXjEydO4ODBg1i3bp3ghK%2BWl5cXwsLC0KBBAwwZMgRDhw6FqakpunbtioMHD6JJkyaiIwqVkZGBNWvWwMvLC3/99RdmzpyJpKQk1KlTB97e3hgyZIjoiEKFhITA2dkZubm58Pb2VhTKixYtqtGv1Lz77rvw9/dHo0aN0LNnT/z4448wNTVFYWEhrK2tFctXEr0sFstE1aSoqAhnz57F999/j8jIyBp9IQVbW1scPnwY9erVQ/fu3fHTTz9BKpWisLAQ3bt3x6VLl0RHfKXMzc3h6OiIuXPnonnz5opxFsvlk8vlSE9Ph7GxsWJ6BtG/rV27FiEhITh8%2BDB8fHxw69YtRdf9zz//RGhoqOiI9JriNAyiKlZQUIDTp08jPDwcx48fh7a2NsaNGyc6llDvvvsuxo0bh71796Jz585YvHgxRo8ejWvXrtXIpcC2bNmCAwcOYMiQIbCwsMDQoUPh6OjItWCf8eeffyIiIgJJSUkoLCxE8%2BbNMXjwYJiamoqOJty%2Bfftw9OhRxX1jZmaGYcOGwdnZWXQ0oRYtWoTWrVujbt26WLZsGby9vbF//340bdoUa9asER2PXmPsLBNVkZCQEEREROD06dMwMDDAwIEDMWjQIHTu3LnGF0EFBQX4/vvv4e7ujgcPHmD%2B/PmKl46XL19e49YRfiojIwMHDx5EYGAg4uPjIZfL8dlnn8HZ2blGr6ASFhaGRYsWwdzcHC1btoRcLkd8fDxiY2Oxbds2dOnSRXREYb7%2B%2Bmv4%2B/vDxcVFcd/cuXMHwcHBmD9/Ptzc3ERHfOX69euHiIgIpTF3d3eufkFVhsUyURWxtbWFvb09HBwc0KVLlxpfINPLuXr1KgICAnD48GHo6%2BvD2dkZH3/8sehYQgwfPhyTJk3C0KFDlcZDQkKwd%2B9e7N%2B/X1Ay8RwcHMq90FFUVBQ%2B%2BugjHD58WFAycZ49D%2BKpZ5ccJFJVzW1dEFWxU6dOsUB%2Bhr%2B/f6X3dXV1rcYkr4eOHTuiY8eOWLp0KUJDQxEYGCg6kjD37t3D4MGDy4w7OTnBx8dHQCL1kZaWBnNz8zLjlpaWSE1NFZBIPP7fperGYplIBc%2B%2B/NerV6/n7nv69OlXEUltVPYlUIlEwmL5GbVr18aoUaMwatQo0VGEkUqliIqKQqdOnZTGb9y4gTfeeENQKvXQunVrHDhwoMx0i%2BDgYKWTRYmo6rBYJlLBnDlzFB8vXLhQYBL1c%2BzYMdER6DU1ceJEvPfeexgyZAhatWoFiUSCuLg4/Pzzz3B3dxcdT6gPPvgA06dPx%2B7duxXrccfHx%2BPevXvYsGGD4HREmonFMpEKnp1T%2BeDBAwwaNKjGXxigPIWFhfDz80OvXr0UJ2cFBwcjPj4enp6eNf5CE6TMzc0NJiYmCAoKUlyVzszMDN7e3nB0dBScTqwuXbogPDwcoaGhSExMBFC65GC/fv1q7JKDxcXF2L9/P549Bau8Mb6CRf8VT/AjqiLDhw9HTEwMOnToAEdHRzg4OEAqlYqOpRaWL1%2BOmzdvYvXq1WjdujWA0pfUP/vsM1hYWODTTz8VnJDo9VJSUoIHDx5AT08PhoaGouMIZWdn98J9JBJJmRUziCqLxTJRFUpMTMTRo0fx66%2B/IioqCjKZDI6OjrC3t4exsbHoeML06NEDhw8fLrOmckZGBgYPHoyzZ88KSkbqqKioCLt27cKJEyeQkpICPT09NGrUCAMGDMCIESOgpaUlOqIwaWlpWLZsGc6cOYOioiIAgL6%2BPvr374/FixfX6P8zRNWFxTJRNXnw4AHCw8Px008/4dq1a7h%2B/broSMJ07doVR48eLVMsp6amwtHREZGRkYKSkTpavnw5jh07hsGDB6Nx48YASp%2BIHj58GA4ODli6dKnghOJMmTIFRUVFmDx5Mpo0aQK5XI7ExETs3r0benp6%2BP7770VHJNI4nLNMVA1u3bqF8PBw/Pbbb4iNjYWtra3oSELZ29tj1qxZmDZtmuIBPj4%2BHlu2bIGTk5PoeKRmjhw5gr179ypOYHtqzJgxGDt2bI0ulq9evYqTJ0%2BiXr16ijFLS0t0794d7777rrhgRBqMxTJRFYmMjER4eDjCw8ORmpoKGxsbjB8/Hv3794eBgYHoeEItXboU69atw8cff4ysrCwAgKGhIYYPH85VRKgMPT29ck9Wa9y4MXR1dQUkUh9NmjRBbm6uUrEMAE%2BePMGbb74pKBWRZuM0DKIq0r59e/Ts2RMODg4skJ/x999/49SpU9DW1kafPn1Qq1YtSCSSMlMyiJ4KCAhAVFQU5s2bp1hX%2BdGjR9iwYQMsLCwwcuRIwQlfrfj4eMXH165dw4EDBzBu3Di0atUKWlpaiI%2BPx549e%2BDm5gYHBweBSYk0E4tloiqyadMmvP/%2B%2B6JjqJULFy7A3d0djRo1QnFxMTIyMrBjxw60b99edDRSM/%2BeqpSVlYXCwkIYGhpCS0sLmZmZ0NXVhVQqxdGjRwWlFMPc3BwSiQQveriWSCS4efPmK0pFVHOwWCaqIr169cLBgwd5Nvozxo8fj379%2BmHKlCkAgK1bt%2BLUqVPYsWOH2GCkdoKDgyu977Bhw6oxifp5up5yZXCdd6Kqx2KZqIrs2LEDERERcHR0ROPGjaGjo3xKQE08yc/a2hqnTp2Cnp4eACA3Nxd9%2B/bFhQsXBCej11F8fDwCAwOxaNEi0VHUSk5ODg4dOoTAwEDs379fdBwijcMT/IiqyOeffw4A%2BP3338tsq6kvj%2Bbn5ysKZQCoU6cO8vLyBCai101ubi7CwsIQGBiIK1euoFOnTqIjqY0LFy4gMDAQR48ehZGRkdIVRYmo6rBYJqoiMTExoiMQaYzIyEgEBgbil19%2BQV5eHsaPH4/Vq1fjrbfeEh1NqOTkZAQFBSE4OBhpaWkoLCzEl19%2BCUdHR0gkEtHxiDQSi2WiKlJQUPDc7bVq1XpFSdRHcXEx9u/fr3RiUnljrq6uIuKRmklNTUVwcDCCgoKQmpqKgQMHws/PD3PnzsWUKVPKXU6upnjaXT9//jw6deoEd3d3ODg4oG/fvpDJZCyUiaoRi2WiKtKhQ4fnPmDVxGkYUqkU33777XPHJBIJi2UCANjZ2cHGxgaenp7o378/ateuDQAsBAEsWLAAjo6OCA8PV1zVkIheDRbLRFVk165dSp8XFxfj3r17OHjwIGbMmCEolVjHjh0THYFeI%2B%2B88w4uXboEIyMjNGjQAD179mSh/D/vvfceQkJCMHbsWAwZMgRDhw4tc4VDIqoeXA2DqJolJCRg0aJF8Pf3Fx2FSO3FxcXhwIEDOHjwILS0tODk5AR/f3%2BEhYXV%2BI5qSUkJjh8/jgMHDuDkyZNo27YtYmNjERAQgHbt2omOR6SxWCwTVbO8vDz06NEDV65cER2F6LVRWFiI8PBwBAYG4uzZs2jdujVGjhyJIUOGoEGDBqLjCZeeno6goCAEBgYiMTERffr0wYgRI2BnZyc6GpHGYbFMVEXK6xzn5eXht99%2Bw6NHjxASEiIgFdHr7/79%2BwgMDERQUBDS0tIQHR0tOpJauXjxIgICAhAeHs4n5UTVgMUyURUpr6Ojr68PMzMzzJs3D%2Bbm5gJSEWkOuVyOs2fPomfPnqKjqKWcnBwYGBiIjkGkcVgsE1WBxMRE6OrqQiqVAgBSUlKwZ88ePH78GA4ODujatavghERERPRfaIkOQPS6u3jxIgYPHoyLFy8CKF1veeLEiQgNDUViYiLc3d1x/PhxsSGJiIjoP%2BHScUQq2rhxI2bOnAknJycAwNGjR5Gamorw8HC88cYbCA0NxZYtW/Duu%2B%2BKDUpEREQvjZ1lIhXdvn0bEydOVHx%2B4sQJ9OrVC2%2B88QYAoH///jXygiREVSkzM1N0BLVTUFBQ5o2Iqh6LZSIV5eXlKa40BgCRkZHo1q2b4nM9PT2UlJSIiEb0Wrp58yZGjRoFoPSkvlmzZqFbt25cghHA2bNn4eTkhHfeeQdWVlZl3oio6nEaBpGKpFIp4uLi0Lp1a8TExOD%2B/fvo3r27Yvtff/3FdWGJXsKKFSswcOBAAMCRI0dw8eJF7N69G9evX8eXX36Jffv2CU4ozvLly9GtWzd88MEHSk/Siaj6sFgmUpGDgwM%2B/PBDDB48GMHBwejcubPiMrQ5OTlYu3Ytl7oiegm3b9/Gnj17AADh4eFwdnZG165dIZPJsHHjRsHpxHrw4AG8vb2ho8OHb6JXhdMwiFTk6emJDh064MCBA2jevDl8fX0V23x9fREbG4vZs2cLTEj0eqlVqxYeP36M/Px8nD59Gn379gUA5Ofno6avdmptbY2YmBjRMYhqFK6zTFSNUlJSYGxsDF1dXdFRiF4bH374If78809oaWkhOzsbv/zyCwoLC7FixQqkpKRgy5YtoiMKExAQgO3bt6Nv375o1qwZtLSUe16urq6CkhFpLhbLRESkVp48eYIdO3YgKysLY8eOhampKZ48eQJPT0%2BsXLkSb775puiIwpR3pdCnJBIJIiIiXmEaopqBxTIREamtjIwMniBLREJxzjIREamV/Px8LF%2B%2BHB07dkSvXr0AAI8ePYK7uzsePnwoOJ14eXl5OHz4MHbs2KEYS05OFheISMOxWCYiIrWycuVKJCQkYMuWLYo5ubq6ujAwMICPj4/gdGLFxMSgT58%2BWLduHdauXQsASExMxKBBg3D27FnB6Yg0E6dhEBGRWunWrRsOHz4MY2NjWFlZ4dq1awCArKws2Nvb49y5c4ITijN69GgMHToU48aNQ4cOHRAVFQUACAsLw9atWxEYGCg4IZHmYWeZiIjUikQiQd26dcuMFxcXIz8/X0Ai9XH79m3FihcSiUQx7uDggDt37oiKRaTRWCwTEZFakclk%2BOKLL/DkyRPFWGJiIpYsWQJra2uBycQzMTFBUlJSmfHo6GgYGBgISESk%2BXgJICIiUivLli2Dh4cHunbtiqKiInTu3BmPHz%2BGTCbDunXrRMcTasiQIZgxYwamTp2KkpIShIeHIyYmBnv27MHYsWNFxyPSSJyzTEREaik6OhoJCQnQ09ODmZkZ2rRpIzqScHK5HNu3b0dQUBDu3bsHfX19mJqaws3NDSNHjlSamkFEVYPFMhERqZ3bt2%2Bjbdu2AICEhARERESgefPmiktf11TJyck1%2BqIsRCKwWCYiIrWyc%2BdObN68GWfOnMHDhw/h6OgIIyMjZGVlYcqUKXjvvfdERxRGJpPh0qVLZS5zTUTVh39tRESkVnbt2oWtW7cCAAIDAyGVShEWFoYffvgB%2B/fvF5xOLDc3N2zYsAGPHz8WHYWoxuAJfkREpFYePnwIc3NzAMDJkycxZMgQaGtro1WrVkhPTxecTqzTp08jNTUVmzdvRr169aCjo1NmOxFVLRbLRESkVqRSKS5evIjatWvj8uXL8Pb2BgDcuXMHhoaGgtOJNXXqVNERiGocFstERKRWZsyYgcmTJ0Mul2PYsGFo2bIlMjMzMX36dIwYMUJ0PKGGDRsmOgJRjcMT/IiISO0kJycjOztbsVycXC5HWFgYBg8eLDjZqzdhwoRKLwm3a9euak5DVPOws0xERGolPj4eAKCjo6P4GAAsLS3GA2nSAAAR2klEQVQRHx%2BPFi1aiIomRMeOHRUfP3nyBCEhIejcuTNMTU2hra2N2NhYREVF8aIkRNWEnWUiIlIr5ubmkEgkePrw9O%2Bu6s2bN0XEUgsLFy6Es7Mz%2BvTpozQeHh6O0NBQfP3114KSEWkuFstERKRWEhMTlT4vKSnB3bt3sW/fPkyaNAnW1taCkonXqVMnXLx4scwqGIWFhbC2tsaVK1cEJSPSXJyGQUREaqVp06ZlxkxNTWFpaYlJkybh559/FpBKPUilUvz4448YP3680nhQUBAaNmwoKBWRZmOxTERErwVtbW38/fffomMI9eGHH2LBggXYuHGj4rLXT0%2BGXLt2reB0RJqJ0zCIiEitrFu3rsxYXl4ezp07h3r16mHv3r0CUqmPrKwsnD59GikpKSgoKIBUKkWPHj0UxTMRVS0Wy0REpFYmTJhQZkxPTw9vvfUWpk2bhsaNGwtIRUQ1FYtlIiIiNWZra1vpfXm5a6KqxznLRESkdk6ePImjR48iKSkJhYWFMDMzg4uLC7p06SI62iu3YMGCSl%2BUhIiqHjvLRESkVnbv3o0vv/wSffv2VVyAJD4%2BHsePH4evry8GDBggOCER1STsLBMRkVrZv38/vvvuO9jY2CiNnz59GmvWrKlxxfKECROwe/duAICrq%2Btzu8w//vjjq4pFVGOwWCYiIrWSlJSEbt26lRnv0aNHjVw67tknDb169RKYhKhmYrFMRERqpVmzZjhx4gTs7OyUxk%2BfPo0mTZoISiWOh4eH4mNPT0%2BBSYhqJhbLRESkVmbPno05c%2BbAxsYGrVq1AgDcuXMHZ86cgY%2BPj%2BB0YqWkpGDLli2Ij49HQUFBme27du0SkIpIs/EEPyIiUjsxMTEICgpSTLswMzPDoEGDYGVlJTiZWOP/v717DYqyesAA/rxcFkLGCyLgDl7i1uogiiJGYOsfShQk0wj7sJS3kLRmmlDLJk0dy4TEkFDDSxA2pMOM4GWmlEXKC%2B6OeSPHy4huKgUrIosgsAO7/w%2BNOzGE0zTBedt9fjPMsOe8H57hCw%2BH856j0aCpqQlRUVFwd3fvMZ%2BRkSEgFZF9Y1kmIiL6jwgPD0dFRQWGDBkiOgqRw%2BA2DCIikpW2tjbk5OTg%2BPHjMBqNkCQJfn5%2BiI2NxTvvvAM3NzfREYV5%2BumnYbFYRMcgcihcWSYiIllZtmwZDAYDXnvtNSiVSlitVty9exf79%2B9HUFAQtm7dKjpiv7p165bt%2B5qaGpSUlECj0UCpVPY4Ru7xudRE9O9hWSYiIlmZMGECjh49Ch8fn27jdXV1iI%2BPx8WLFwUlE0OlUkGSJPT26/rxnCRJuHLlSj%2BnI7J/3IZBRESy4u3tDQ8Pjx7jHh4eGDZsmIBEYmm1WtERiBwaV5aJiEhWKisrUVZWhsWLF2P06NGwWCy4ffs29uzZgxdffLHb%2BcsKhUJg0v7X1NSEwYMHdxv79ddfMWrUKEGJiOwfyzIREclKaGgoOjs7e%2BzHfbzV4M8cZduB2WxGWloa/P39e5w1nZiYiODgYGzZsuWJV2ET0T/DskxERLKi1%2Bv/9rORkZF9mEQ%2BcnJyUFFRgfz8fPj6%2Bnabu3//PubPn49XX30Vr7/%2BuqCERPaLZZmIiGTNYDCgpaUFKpUKLi6O%2BarNzJkz8emnnyI8PPwv58%2BePYv169fj4MGD/ZyMyP45iQ5AREQEAM3NzVi8eDHKy8ttY%2BvWrcPMmTORnJyMOXPmoL6%2BXmBCcerq6hAWFtbrfHh4uO22QyL6d7EsExGRLGRmZqKtrQ0qlQoAcOnSJRQXFyMzMxNVVVUIDQ1Fdna24JRiKBQKtLW19TpvMpkcdtWdqK%2BxLBMRkSycOnUKn332Gfz9/QEAR48eRVhYGJKSkjBkyBC8%2B%2B67OH36tOCUYkyaNAmFhYW9zufn52PixIn9mIjIcfDPUCIikoWmpiaMGDHC9lmn0yE6Otr22dfXFyaTSUQ04dLT05Gamoq2tjZoNBr4%2BfkB%2BOPYuN27d6O0tBR79%2B4VnJLIPrEsExGRLAwYMAAmkwmDBg1Cc3Mzrly5gvfee88239zcjAEDBghMKE5YWBhyc3Oxdu1a7N69G%2B7u7rBYLDCbzRgxYgR27NjxxD3NRPTPsSwTEZEsTJw4Efn5%2BVi0aBG%2B/PJLDBw4EJMnT7bNHzp0CM8884zAhGI9//zzKC8vxy%2B//GJ7mW/06NEYM2YMz1cm6kM8Oo6IiGShpqYGb7zxBu7fvw9XV1dkZWUhPj4eAFBQUIDs7Gzk5eVh6tSpgpP2r4ULF2LKlCmYMmUKxo0bB2dnZ9GRiBwKyzIREclGa2srbty4AX9/fwwdOtQ2rtVq4eHhgaioKIHpxDhy5Ah0Oh10Oh3u3buH8PDwbuXZyYnv6hP1JZZlIiIS7quvvkJkZCTCwsK4cvoERqPRVpx1Oh3u37%2BPSZMmITIyElOmTOG%2BZaI%2BwLJMRETCrVmzBnq9HkajsdvKaWhoKMvzE9TV1eHMmTPQ6XTQ6/XQarWiIxHZHZZlIiKSjccrp3q9HjqdDg0NDZg4cWK38uzo2w6uX7%2BOkJAQAMCdO3eg1WoxcuRIxMbGCk5GZJ9YlomISLYer5w%2BLs9NTU34%2BeefRccSprCwEPn5%2BTh16hQaGxuRkJBgO2pvwYIFSEtLEx2RyO6wLBMRkexYLBbbCrLFYsHVq1cxfPhwtLW1QalUCk4nTlxcHPLy8qBSqbBz504cOnQIBw4cgMFgwJIlS1BeXi46IpHdcez/ZRERkexUVVVBrVYDAMxmM1JSUjB37lyo1Wpcu3ZNcDqxGhsboVKpAAA//fQTkpKS4OzsjMDAQDQ0NAhOR2SfWJaJiEhWMjMz8f777wMADh8%2BjLq6OlRUVCAzMxO5ubmC04nl4%2BMDvV6P6upqnDt3DnFxcQCAmzdvYuDAgYLTEdkn3uBHRESyYjAYMGvWLADA8ePHMXv2bCiVSiiVSnz44YeC04n15ptvYv78%2BbBarZgzZw4CAgJgMpmwePFivPLKK6LjEdkllmUiIpKVAQMGwGg0ws3NDSdPnsTOnTsBAE1NTXBxcexfW8nJyYiJicHDhw8RHBwMABg4cCAyMjKQkJAgOB2RfeI2DCIikpWEhAQkJyfj5ZdfRkBAACIiItDa2ooVK1YgJiZGdDyh4uPj4efnZyvKACBJEqKjo/Hcc88JTEZkvxz7T3QiIpKdDz74AKGhoXj48CESExMBAK6urhg%2BfDiWL18uOJ0YVVVVOH36NGpra5Gdnd1j3mAwwGw2C0hGZP9YlomISFacnJzw0ksvdRtTKBRYv369oETiDRo0CI8ePUJXVxfOnz/fY97d3R0bNmwQkIzI/rEsExGRrKhUKkiS9JdzkiTB19cXarUay5cvh6enZz%2BnE2Ps2LEYO3YsJEnCRx99JDoOkUPhpSRERCQrR44cQU5ODqZPn44xY8ZAkiRcu3YNx44dQ1paGrq6ulBcXIzg4GBs3LhRdNx%2BV11djZqaGnR0dPSYmzdvnoBERPaNZZmIiGQlNTUVy5cvx/jx47uNX7hwAdu2bUN%2Bfj6MRiPmzp2LkydPCkopxieffIKioiJ4eXnB3d2925wkSdBqtYKSEdkvbsMgIiJZqa6uRkhISI9xlUqFs2fPAvjjuLT29vb%2BjiZcWVkZvv76a0RFRYmOQuQweHQcERHJSkBAAFatWoWrV6%2BipaUFbW1tqKmpwbp16zBq1Ch0dXVh9erVCA8PFx213ykUCkRERIiOQeRQuA2DiIhk5c6dO8jIyMClS5dsL/pZrVYEBwcjKysLKpUK8%2BfPx4YNG%2BDv7y84bf/atWsXurq6sGTJEtFRiBwGyzIREcmS0WhEfX09rFYrvL29oVQqRUcSbunSpTh37hxcXFygVCrh5NT9H8TfffedoGRE9ot7lomISHYaGhpw%2B/Zt277k5uZm3Lx5EwAc%2Bha/x0fIEVH/4coyERHJys6dO7FlyxZYLJYec5Ik4cqVKwJSEZGjYlkmIiJZiYqKwooVK5CQkNDjeDT64xzqsrIyGI1GlJaWwmw2o6ioCAsXLuz1Mhci%2Bud4GgYREcmKxWLB7NmzWZT/QmFhITIzMzFhwgTbtpTm5maUlpYiJydHcDoi%2B8SyTEREsjJnzhwcPnxYdAxZ2rNnD3bt2oWlS5faVpG9vb2xbds2lJWVCU5HZJ/4gh8REclKZ2cnNm3ahL1798Lf37/HiQ%2BbN28WlEy8hw8fIjg4uMe4j48PGhsbBSQisn9cWSYiIllpbW2FWq1GUFAQ3N3doVAoun05spCQEJSWlvYY37NnDwIDAwUkIrJ/fMGPiIjoP6KqqgrLli1DSEgILl26BLVajevXr8NkMmHbtm2IjIwUHZHI7rAsExGRcCUlJUhOTgYA7Nu3r9fnJElCSkpKf8WSpbq6Ohw5cgS3b9%2BGu7s7Ro4cicTERAwePFh0NCK7xLJMRETCzZgxA99//z0AIDY2ttfnJEmCVqvtr1iys337drz11luiYxA5FJZlIiKi/4ipU6eirKwMXl5eoqMQOQyWZSIiEu7kyZN/6zlJkhAdHd3HaeSroKAAWq0WCQkJGD58OFxcuh9q5chXgRP1FZZlIiISTqVS/a3nHP266yf9nBz9Z0PUV1iWiYiIiIh6wUtJiIhIdoxGI06fPg2j0QiFQgE/Pz/ExMTA09NTdDRZMpvNmD59OiorK0VHIbI7LMtERCQrP/zwAzIyMuDp6QlfX19YrVbU19fDbDbjiy%2B%2BgFqtFh1RmPr6emRlZeHy5cswm8228ebmZh4dR9RHuA2DiIhkJT4%2BHhqNBhqNBpIkAQAsFguKi4tRVFRkO2LOEaWnp6OjowOxsbHYtGkTVq1ahcuXL6Ompga5ubnw8fERHZHI7rAsExGRrISHh0Ov18PV1bXbeGdnJyZPnozz588LSiZeZGQkKisr4eHhgfHjx%2BPixYsAgNLSUlRXV2P16tWCExLZHyfRAYiIiP5s2rRpOHXqVI/xM2fOOPQWDABwcXGBs7MzAMDNzQ0mkwkAkJCQgEOHDomMRmS3uGeZiIiEy87Otn3v7e2NlStXYvz48QgKCoIkSbh16xbOnTuHefPmCUwpXkREBJYtW4atW7ciNDQUGzduhEajwYULF6BQKETHI7JL3IZBRETCpaam/q3nJEnCN99808dp5OvBgwfIysrC2rVrYTAYkJ6ejt9%2B%2Bw0eHh5Yt24dkpKSREcksjssy0RERP9RVqsVDQ0N8PLysm3PIKJ/F8syEREJV1JSguTkZADAvn37en1OkiSkpKT0VyxZuXv3Lk6cOAFnZ2eo1Wr4%2BvqKjkTkEFiWiYhIuBkzZtiOhIuNje31OUmSoNVq%2ByuWbOh0OixZsgS%2Bvr7o6urCgwcPUFBQgHHjxomORmT3WJaJiIhkTqPRIC4uDgsWLAAA7N69GydOnEBBQYHYYEQOgGWZiIhko7a2FgqFAsOGDQPwx7XX3377LVpaWjBz5kxEREQITihGZGQkTpw4ATc3NwDAo0eP8L///Q86nU5wMiL7x3OWiYhIFvR6PRITE20F0Gw2Q6PR4ODBg6itrUVaWhoqKyvFhhSko6PDVpQBwMPDA%2B3t7QITETkOnrNMRESykJeXh/T0dMyaNQsAcOzYMdy7dw/l5eUYOnQoDh8%2BjF27dmHatGligxKRQ2FZJiIiWbh%2B/Tq2b99u%2B/zjjz9i6tSpGDp0KADghRdewMcffywqnlBdXV3Yv38//rxz8q/GHP3SFqK%2BwLJMRESy0N7ejqeeesr2%2BezZs1i0aJHts5ubGywWi4howvn4%2BGDHjh1PHJMkiWWZqA%2BwLBMRkSz4%2BPigpqYGQUFBuHr1Kn7//Xc8%2B%2ByztnmDwYAhQ4YITChORUWF6AhEDotlmYiIZGHGjBlYuXIlEhMTceDAAUyaNAmBgYEAgJaWFnz%2B%2BeeIjo4WnJKIHA3LMhERycLbb78Nk8mEkpISBAQEYM2aNba5zZs348aNGygqKhKYkIgcEc9ZJiIi2auvr4eXlxdcXV1FRyEiB8OyTERERETUC15KQkRERETUC5ZlIiIiIqJesCwTEREREfWCZZmIiIiIqBcsy0REREREvWBZJiIiIiLqBcsyEREREVEv/g/Z0LTn%2Bxm0qQAAAABJRU5ErkJggg%3D%3D\" class=\"center-img\">\n",
       "    <img 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TxlbusRx3kDy8IDOnWHtWsjKsnc0EBVl7wgsublBfr69oyjmnpZk7xCKubpClSpw%2BjTY%2BeO4AcjMtHcEF5QrB7VqwbFj4Agf/713r70jKObhAR06wLp1jvFEA/DII/Z77Ovw2rg0OppZs2ZZtA0bNozhw4dfdt%2B%2Bffte0WPk5uZy%2BPBh6tWrZ27z8PCgVq1axMbGkpGRgaurK8HBwebt9erVIzs7m6NHj1q020LJssj1ULly8Qt85cr2jsThuLmBi0vxvaO8hjkKk%2BnCTQvkLnLxxIglF5fieXHRG8UWypcvnpfy5e0didPq0aMHkZGRFm3%2B/v5l%2Bhhnz57FMAy8vb0t2r29vUlNTaVy5cp4enpafIjS%2Bb6pqallFoeSZRERERG5KgEBAQQEBNjlsQ3DuOynjJblp5AqWRYRERFxZn/Tdx4qV66Mi4tLiSrx2bNn8fX1xdfXl4yMDAoLC3F1dQUgLS0NAF9f3zKL4%2B85eyIiIiJyZVxcyv52A7i7u3PXXXcRFxdnbktPT%2BfYsWM0bNiQunXrYhgG8fHx5u2xsbFUqlSJO%2B64o8ziULIsIiIiIg4hKSmJjh07kpiYCECvXr1YuHAhR44cITMzkxkzZlC3bl0aNGiAr68vHTp04O233%2BbMmTOcOnWK2bNn8%2Bijj1KuXNktntAyDBERERFn5mDLMBo0aADAuT%2Bv4BITEwMUV4ULCgpISEgg/8/LAvXs2ZM//viDQYMGkZWVRVhYmMVVOCZOnMiECRN44IEHKFeuHO3atbvsB51cLSXLIiIiInLDxMbGWt1Wo0YNDh48aP7eZDIxfPhwq5ek8/LyYubMmWUe48WULIuIiIg4MwerLP/dKFkWERERcWZKlm2i2RMRERERsUKVZRERERFnpsqyTZQsi4iIiDgzJcs20eyJiIiIiFihyrKIiIiIM1Nl2SaaPRERERERK1RZFhEREXFmqizbRMmyiIiIiDNTsmwTzZ6IiIiIiBWqLIuIiIg4M1WWbaLZExERERGxQpVlEREREWemyrJNlCyLiIiIODMlyzbR7ImIiIiIWKHKsoiIiIgzU2XZJpo9ERERERErVFkWERERcWaqLNtEybKIiIiIM1OybBPNnoiIiIiIFaosi4iIiDgzVZZtotkTEREREbFCybJclc8//5zIyMjrMvZjjz3GO%2B%2B8c13GFhERuWm5uJT97SaiZRhOID8/n9mzZ/P111%2BTlJSEu7s7QUFBDBs2jGbNmpXpY0VFRREVFVWmY4qIiMh1dJMlt2VNs%2BcEpk6dypYtW4iOjubHH39k48aNtGjRgkGDBpGYmGjv8ERERET%2BtpQsO4Hvv/%2BeLl26EBwcjKurK56engwdOpTJkyfj5uZGZGQkn376qbn/jh07CA4OJi8vD4Dg4GDmz59Py5YtmT17NqGhoezcudPiMR5%2B%2BGHmzJnDypUriYiIoKioiJYtW7Jq1SqLfsOGDePVV18FID4%2Bnn79%2BtGkSRPCw8N58803KSwsNPedPXs2LVu2JDw8nHffffd6TY%2BIiMjNTcswbKJlGE6gdu3arFq1ipYtW1K3bl1z%2B4MPPnjFY8TExPD5559TpUoV9u3bR0xMDP/4xz8A%2BP333/n555%2BJjo5m165dALi4uNC%2BfXtiYmJ4%2BOGHAcjNzWXbtm188MEHZGdn8%2BSTT9K7d2/mzp1LUlISTz/9NBUrVmTIkCFs27aNOXPm8NFHH9GgQQM%2B%2BOADDh06xL333nvFMScnJ5OSkmLR5n/HHQRUrnzFY1w3ISGW93bm42PvCC7w8rK8tzeTyd4RXHA%2BFoeJqZyDvES4ulre25ubm70juKB8ect7e3OE519wvCca%2BVtzkGdCscX48eMZPXo0UVFRBAYG0rhxY1q3bk379u1xu8In9U6dOuHn5wdAx44deeedd3jppZcAWL9%2BPQ0bNqRmzZrmZPl8v8GDB5Obm0uFChXYunUrnp6eNG3alHXr1mEYBk8//TQANWvWZODAgXzwwQcMGTKEDRs20LJlS5o0aQLA0KFDWbhw4VUd99KlS5k1a5ZF27Bnn2X4s89e1TjX1eLF9o4AgPb2DqAUzZvbOwLH5Sh5D1Wq2DsCS46SiDnavABUq2bvCIrVrGnvCCz9WfS56d1kleCypmTZCVSrVo3Fixdz%2BPBhvvvuO3bu3Mm4ceP497//zaJFi65ojOrVq5u/bteuHa%2B88grx8fGEhISwfv16OnfuXGKfJk2a4OnpybZt22jXrh3r16%2BnY8eOuLi4kJiYyOnTp2nQoIG5v2EY5uQ9KSmJmhc9qZYvX94ihivRo0ePElfm8O/aFRYsuKpxrouQkOJEuXdviI%2B3dzSsf323vUMw8/IqTpS/%2Bw4yMuwdDdx3n70juMBkKk6UCwrAMOwdDbhlnLZ3CMVcXYsT5bQ0uGgpl91kZ9s7ggvKly9OlE%2BdKv7FsbdDh%2BwdQTEvr%2BJEeedOx3iiAWjb1n6PrWTZJkqWnUidOnWoU6cOffr0ISUlhe7du5eaLBcVFZVoK3fR261eXl5EREQQExODn58f%2B/bt4%2B233y6xz/mlGBs3bqR169Zs2bKFOXPmAODu7s5dd93F6tWrS401Pz%2B/RJvrVb7FGhAQQEBAgGVjQsJVjXHdxcfDnj32joLUVHtHUFJGhmPE5QhJ6aUMw0HiOnfO3hFYKix0jJhKef6yu4ICx4grLc3eEVjKyHC8mORvR/9q/M2dOnWKCRMmkJmZadHu7%2B9PSEgImZmZuLm5mU/mAzh27Nhlx%2B3UqRObNm0iJiaGu%2B%2B%2Bm6pVq1rtt3nzZrZv346npyd33303ALVq1SIxMZGsrCxz39TUVHOcAQEBnDx50rwtPz9fV%2B4QERG5HnSCn01urqN1Qr6%2Bvmzfvp0XXniBo0ePUlRURE5ODmvWrGHHjh107NiR22%2B/nW%2B%2B%2BYacnBwSExP5/PPPLztu27ZtOXz4MF9%2B%2BWWpSzDOa9y4Ma6urnz44Yd06tQJ059nJrVs2RJfX1%2BmT59OZmYmKSkpPPvss8yYMcO8/dtvv2Xfvn3k5uYya9asUiveIiIiIvakZPlvzs3Njf/85z/4%2BvoycOBAwsLCaNGiBYsXL2bGjBk0a9aMkSNHkpaWRnh4OKNHj%2BbJJ5%2B87LheXl40b96cvXv30rFjR6v9XFxc6NChAzt37rRIqsuXL8%2B7777L0aNHiYiIICoqittvv50xY8YA0KVLFx5//HGGDBlC69atcXNzM1elRUREpAypsmwTk2E4xMo4kbLhKNfcCguD3bvhnnscYs3y0iWO82fu4wPt28P69Y6xZtmRPpDSZCq%2BKll%2BvmOsWXZPS7J3CMXKlSu%2BAsXp046xZvmSZW925eZWfAWKxETHWLO8d6%2B9IyhWuXLxCXUbNzrOmuVHHrHfYzduXPZj/vhj2Y/poG6ufw1ERERERK6CroYhIiIi4sxusmUTZU2zJyIiIiJihSrLIiIiIs5MlWWbKFkWERERcWZKlm2i2RMRERERsUKVZRERERFnpsqyTZQsi4iIiMgNlZiYyMSJE9m3bx8VK1akY8eOPP/887i6ulr0e%2BKJJ9i1a5dFW2FhIQ899BDTpk0jOjqa9957j3LlLqS07u7u/PDDD2UWq5JlEREREWfmgJXlESNGEBoayptvvsmZM2cYPHgwfn5%2BDBw40KLfxx9/bPF9bm4uXbp04YEHHgAgPT2dRx99lEmTJl23WJUsi4iIiDiz65AsJycnk5KSYtHm7%2B9PQEDAZfeNjY3l4MGDzJ8/Hy8vL7y8vBgwYADz588vkSxfavbs2YSGhhIREQEUJ8tX8pi2ULIsIiIiIldl6dKlzJo1y6Jt2LBhDB8%2B/LL7xsXFERgYiLe3t7mtXr16JCQkkJmZiaenZ6n7nThxgkWLFrFmzRpzW3p6OidPnqRr166cOnWK4OBgxo4dS2ho6DUeWUlKlkVERESc2XWoLPfo0YPIyEiLNn9//yvaNy0tjUqVKlm0nU%2BcU1NTrSbLc%2BfOpVOnTgQGBlo8poeHB6%2B//jqVKlVi9uzZPPHEE3z99df4%2BvpezSFZpWRZRERERK5KQEBAmS5/MAwDAJPJVOr29PR0li9fzooVKyzaL12r/MILL7BmzRo2btxI9%2B7dyyQ2JcsiIiIizszBTvDz9fUlNTXVou3s2bOYTCZ8fHxK3Wfjxo1Ur16doKCgvxzb1dWV6tWrk5ycXGbxOtbsiYiIiEjZcnEp%2B5sNQkNDOXHiBGfOnDG3xcbGUqdOHTw8PErdJyYmhlatWlm0GYbBv/71Lw4ePGhuKygo4NixY9SsWdOmGC%2BmZFlEREREbph69erRsGFDZs6cSWZmJkeOHGHevHn06tULgI4dO5a4TvKBAwdKJMAmk4nffvuNiRMnkpSURFZWFjNmzMDNzY127dqVWbxKlkVEREScmYNVlgGio6M5ffo0kZGRDB48mKioKHr37g1AQkIC2dnZFv1TUlJKXSM9ZcoUatSoQbdu3WjTpg2HDx9m4cKFVKxY0eYYz9OaZRERERFn5mBrlgGqVavG%2B%2B%2B/X%2Bq2i5dVnLd///5S%2B1auXJnp06eXaWyXcrzZExERERFxEKosi4iIiDgzB6ws/51o9kRERERErFBlWURERMSZqbJsEyXLIiIiIs5MybJNNHsiIiIiIlaosiwiIiLizFRZtolmT0RERETEClWWRURERJyZKss2UbIsIiIi4syULNtEybI4laVLDHuHAICPD7QH1r%2B%2Bm9RUe0cDPXqa7B3CBWFh0H437cfeA3v22DsaPvrQMX5nAKpUgagoWLsWTp%2B2dzTQo0dVe4cAFL/OVwSyb6lCUZG9owF3X8eYl/PKAwXVato7DAAeHX2nvUMAoHZteKstjFrTlqNH7R1NsS8esXcEcq2ULIuIiIg4M1WWbaLZExERERGxQpVlEREREWemyrJNlCyLiIiIODMlyzbR7ImIiIiIWKHKsoiIiIgzU2XZJpo9ERERERErVFkWERERcWaqLNtEybKIiIiIM1OybBPNnoiIiIiIFaosi4iIiDgzVZZtotkTEREREbFClWURERERZ6bKsk2ULIuIiIg4MyXLNtHsiYiIiIhYocqyiIiIiDNTZdkmmj0REREREStUWRYRERFxZqos20TJsoiIiIgzU7JsE82eiIiIiIgVqiyLiIiIODNVlm2i2RMRERERsUKVZRERERFnpsqyTZQsi4iIiDgzJcs20eyJiIiIiFihyrKIiIiIM1Nl2SaaPRERERERK1RZFhEREXFmqizbRMmyiIiIiDNTsmwTzZ6IiIiIiBVKluWqRUZG8umnn9o7DBEREbkSLi5lf7uJaBnGTSoyMpKkpCRc/vyFd3d3JygoiBEjRhAeHm7n6ERERKTMOGBym5iYyMSJE9m3bx8VK1akY8eOPP/887i6ulr0W7FiBS%2B//DLly5e3aN%2B0aRN%2Bfn7k5eUxefJktmzZQn5%2BPk2bNuW1117D19e3zGJ1vNmTG2bcuHHExsYSGxvL//73P9q1a8dTTz1FYmKivUMTERERJzZixAiqVatGTEwM8%2BfP55tvvmH%2B/Pkl%2BmVkZNCiRQtzvnL%2B5ufnB8DMmTM5cOAAS5cuZd26dZhMJl588cUyjVWVZQHglltu4YknnmDJkiVs3bqVbt26MWXKFL7%2B%2BmtcXV1p3749r7zyCm5ubhb75eXlMWnSJDZv3kx2djb16tVjwoQJ1KlTB4Dly5czZ84ckpOT8fX1pW/fvvTv3x%2BADz74gE8//ZTU1FSqVavG8OHDeeCBB6445uTkZFJSUizaCgv98fMLsG0yyoCXl%2BW93YWF2TuCC0JCLO/trEoVe0dwgbe35b29OUoxymS6cO8oMUnpate2dwTFatSwvL/pXYc/nNJeg/39/QkIuPxrcGxsLAcPHmT%2B/Pl4eXnh5eXFgAEDmD9/PgMHDrToe/bsWbytPCkWFhaycuVKpk%2BfTvXq1QEYOXIknTt3JikpiapVq17j0VlSsiwWCgsLcXV15c033%2BTIkSOsX78egMGDBzNr1ixGjx5t0X/u3Ln89NNPrFmzhooVKzJu3DjGjRvHkiVLOHnyJK%2B88goff/wxzZs3Jz4%2BngEDBhAeHk5WVhazZ89mxYoV1KlTh507dzJ06FAiIiLw8fG5oliXLl3KrFmzLNqeeWYYvXsPL5vJKAPNm9s7gj%2B1323vCEpavNjeEQAQZe8AStGmjb0jcEy33GLvCBzXJe9Q281bb9k7AkvPPWfvCJxXaa/Bw4YNY/jwy78Gx8XFERgYaJEE16tXj4SEBDIzM/H09DS3p6en89tvv9G9e3cSEhK47bbbGD16NBEREfz2229kZGRQv359c//atWtToUIF4uLilCxL2crKymLJkiWcOXOG1q1bM3PmTKa9qcJ6AAAgAElEQVRNm2Ze8zN16lTOnj1bYr/BgwfTr18/vP4soXbo0IFnn30WKH7rpKioCA8PDwBCQkL49ttvcXFxYdOmTQBUrFgRk8lEs2bN%2BOGHH8xrqK9Ejx49iIyMtGj76Sd//szv7crLqzhR/u47yMiwdzTQfuw99g7hgpCQ4kS5d2%2BIj7d3NHw%2B3nH%2BkfD2Lk6UN22CUv7cbrj27e0dQTGTqThRzskBw7B3NI6TmJ5XvjwUFNg7imL//Ke9IyhWo0ZxojxzJhw/bu9oitn1H4nrUFku7TXY39//ivZNS0ujUqVKFm3nE%2BfU1FSLZLly5coEBATw/PPPc%2Butt7J06VKeeuopvvjiC3NeculYlSpVIjU19aqPyRolyzexyZMnM3XqVAAqVKhA3bp1mT9/Pu7u7qSnpxMYGGjuGxQUVOoYZ86cYdKkSfzwww9kZWUBUPDns/Zdd91Ft27d6NmzJ40bN%2Bbee%2B/lkUceoUqVKrRo0YJ//OMfdOjQgfDwcO677z6ioqIs/kAuJyAgoMTbPfv3Qxn%2BfdgsI8NB4tmzx94RlBQf7xBxnT5t7whKOnvWMeIqKrJ3BMXOv84bhuPEJKU7etTeEVg6ftzxYrKL65Asl/YabAvjz/%2BETefXXf3p0kr1gAED%2BOqrr1i9ejWtWrWyOtal49hCq79uYhef4Ldr1y4WLlxIo0aNzL9gRVfwqjR69Giys7P54osv2L9/v8VbMiaTiWnTprF69WruvfdeVq9eTefOnTl27Bju7u58%2BOGHLFmyhIYNGzJv3jwefPDBUqvXIiIi4jx8fX1LVH7Pnj2LyWS6oqWYNWrUMJ8LBZQYKz09XVfDkOvLx8eHSpUqkZCQYG7bv38/K1euLNF33759PPbYY1SrVg0oXod0XlFREWlpadx5550MHjyYVatW4e3tTUxMDOfOnSM9PZ3Q0FBGjBjB6tWrSU1N5fvvv7/%2BBygiInIzcbDrLIeGhnLixAnOnDljbouNjaVOnTrmpZvnzZkzhx07dli0HTlyhJo1a1KzZk28vb0tco9Dhw6Rn59PaGioTTFeTMmylKpbt258%2BOGHJCUlkZqayuTJkzly5EiJfoGBgezbt4/8/Hw2b95s/oVOSkpi7dq1PPzww%2Bb9fvvtN86ePUutWrX46KOP6NevH6dOnQLg4MGDFBQUUKtWrRt3kCIiInLD1atXj4YNGzJz5kwyMzM5cuQI8%2BbNo1evXgB07NiRH374AYA//viD1157jYSEBPLy8pg3bx6JiYl069YNV1dXHnvsMd5//31OnjxJamoqb775Jvfff7/50nJlQWuWpVTPPfcckydPpnPnzpQvX5727dszYsSIEv3Gjx/PK6%2B8wpIlS2jdujVvv/02Tz75JF26dGHDhg388ssv9O/fn7Nnz%2BLn58eAAQNo164drVq14sSJE0RFRZGTk0P16tV59dVXqVu3rh2OVkRExIk54DUXo6OjmTBhApGRkXh5eREVFUXv3r0BSEhIIDs7GyjORwzDoG/fvmRnZxMUFMSCBQvMV7oYMWIE2dnZ9OjRg3PnztGiRQteffXVMo3VZBiOcG6xSNlYutTeERTz8Sm%2BksD69Y5xgl%2BPnmV3ooPNwsJg92645x6HOMHvow8d5ymwShWIioLPP3eME/x69LB3BMVcXKBiRcjOdowT/Nzd7R2BJUe6Gsajj9o7gmK1axdffWLUKMc5we%2BLL%2Bz44NOnl/2YY8aU/ZgOyvH%2B1RARERERcRBahiEiIiLizBxwGcbfiWZPRERERMQKVZZFREREnJkqyzZRsiwiIiLizJQs20SzJyIiIiJihSrLIiIiIs5MlWWbaPZERERERKxQZVlERETEmamybBMlyyIiIiLOTMmyTTR7IiIiIiJWqLIsIiIi4sxUWbaJZk9ERERExApVlkVEREScmSrLNlGyLCIiIuLMlCzbRLMnIiIiImKFKssiIiIizkyVZZto9kRERERErFBlWURERMSZqbJsEyXLIiIiIs5MybJNNHsiIiIiIlaosiwiIiLizFRZtolmT0RERETEClWWRURERJyZKss2UbIsIiIi4syULNtEsyciIiIiYoUqyyIiIiLOTJVlm5gMwzDsHYRIWcnLs3cExUwmcHOD/HxwhL%2BwRYvsHcEFVapAVBR8/jmcPm3vaGDgkyZ7h3BBWBjs3g333AN79tg7Gn78wQF%2BeYFbboF69eDAAcjJsXc0kJ5u7wgu8PSEpk1h1y7IzLR3NNDm1oP2DqGYuzvcfjv8%2BqvjvDAEB9vvsZcuLfsxe/Qo%2BzEdlCrLIiIiIs5MlWWbKFkWERERcWZKlm2i2RMRERERsUKVZRERERFnpsqyTZQsi4iIiDgzJcs20eyJiIiIiFihyrKIiIiIM1Nl2SaaPRERERERK1RZFhEREXFmqizbRMmyiIiIiDNTsmwTzZ6IiIiIiBWqLIuIiIg4M1WWbaLZExERERGxQpVlEREREWemyrJNNHsiIiIizszFpexvNkpMTGTQoEE0a9aMNm3aMH36dAoLC0vt%2B%2Bmnn9KhQwfCwsLo2rUrMTEx5m3R0dHUrVuXBg0amG9NmjSxOb6LKVkWERERkRtqxIgRVKtWjZiYGObPn88333zD/PnzS/SLiYlh5syZTJ06lV27dvHEE08wcuRIEhMTAUhPT%2BfRRx8lNjbWfPvhhx/KNFYlyyIiIiLO7DpUlpOTk4mLi7O4JScnX1E4sbGxHDx4kOeffx4vLy9uu%2B02BgwYwLJly0r0zc7OZvTo0TRu3Jhy5crx8MMP4%2BHhwd69e4HiZNnb27tMp%2BtSWrMsIiIiIldl6dKlzJo1y6Jt2LBhDB8%2B/LL7xsXFERgYaJHk1qtXj4SEBDIzM/H09DS3P/jggxb7pqenk5WVRdWqVc3fnzx5kq5du3Lq1CmCg4MZO3YsoaGhthyeBSXLIiIiIs7sOpzg16NHDyIjIy3a/P39r2jftLQ0KlWqZNF2PnFOTU21SJYvZhgG48aNo1GjRvzjH/8wP6aHhwevv/46lSpVYvbs2TzxxBN8/fXX%2BPr6Xu1hlUrJsoiIiIgzuw7JckBAAAEBAWU2nmEYAJhMplK3FxQUMHbsWA4fPszChQvN7ZMmTbLo98ILL7BmzRo2btxI9%2B7dyyQ2JcsiIiIicsP4%2BvqSmppq0Xb27FlMJhM%2BPj4l%2Bufm5vL000%2BTk5PDJ598Umqf81xdXalevfoVr5%2B%2BEjrBT0RERMSZOdil40JDQzlx4gRnzpwxt8XGxlKnTh08PDws%2BhqGwahRoyhXrhzz58%2B3SJQNw%2BBf//oXBw8eNLcVFBRw7NgxatasaVOMF1OyLCIiIiI3TL169WjYsCEzZ84kMzOTI0eOMG/ePHr16gVAx44dzZd/W716NYcPH%2Bbf//437u7uFuOYTCZ%2B%2B%2B03Jk6cSFJSEllZWcyYMQM3NzfatWtXZvFqGYaIiIiIM3PAT/CLjo5mwoQJREZG4uXlRVRUFL179wYgISGB7OxsAFasWMHvv/9uPqHvvIceeojJkyczZcoUpk2bRrdu3SgoKKBBgwYsXLiQihUrllmsSpZFREREnJkDJsvVqlXj/fffL3XbxcsqFixY8JfjVK5cmenTp5dpbJdyvNkTEREREXEQqiyLiIiIODMHrCz/nWj2RERERESsUGVZRERExJmpsmwTJcsiIiIizkzJsk00eyIiIiIiVihZFpts27aN4OBgxo8fb%2B9QREREpDQO9gl%2Bfzc319FKmVu2bBmdOnVi7dq15Obm2jscERERkTKlZFmuWWpqKhs3buTZZ5/F19eXdevWmbedOXOGfv360bBhQ6KiotiyZQvBwcEcP34cgN9//50hQ4bQrFkzmjZtyiuvvKJkW0RE5HpQZdkmOsFPrtkXX3xB3bp1ueOOO%2BjatSsrVqzgoYceAmDSpEnk5eWxefNmUlNTeeGFF8z7GYbB0KFDCQsLY9OmTeTk5DB69GimTJnCpEmTrvjxk5OTSUlJsWjz9vYnICCgbA7QBiaT5b29Vali7wgu8Pa2vLe7sDB7R3BBSIjlvZ3dcou9IyhWoYLlvb0VFdk7ggvOf6JvGX6yr23c3e0dQTE3N8v7m91NltyWNZNhGIa9g5C/pwceeICePXvy%2BOOPc%2BzYMTp06MD69esJDAykUaNGvPnmm9x///0ALF68mNdee42NGzdy5swZevbsya5du/Dw8ADghx9%2BYODAgezduxfTFWaY77zzDrNmzbJoe%2BaZYYwYMbxsD1REROTvLC6u7MesX7/sx3RQqizLNdm7dy%2B//vornTt3BqBWrVo0atSIlStX0qdPH/Lz86lRo4a5f926dc1fJyYmUlhYSHh4uMWYhYWFpKam4uvre0Ux9OjRg8jISIs2b29/8vOv9ajKjskE5ctDQQE4wr%2Bja9faO4ILvL2hTRvYtAnOnrV3NBA18R57h3BBSAgsXgy9e0N8vL2j4cCi3fYOASiuKNeuDUePgiOs1srKsncEF1SsWJyzxMVBdra9o4Gm/r/aO4Ribm5w661w4gQO8aIAcPvt9ntsVZZtomRZrsmyZcsoLCykffv25rbc3FxOnTrF448/DoCrq6t5m8tFf6ju7u5UrFiRPXv22BRDQEBAiSUXeXmOkZyeZxiOEc/p0/aOoKSzZx0kLht/D6%2BL%2BHiHiCsnx94RWMrNdYyYMjPtHUFJ2dkOElelPHtHYCk/v/iFQcQGSpblqmVnZ7N27VomTpxI8%2BbNze15eXk8/PDDHDhwAFdXV06ePElQUBAABw8eNPerVasW2dnZJCYmUrNmTQAyMzMpKCjAx8fnxh6MiIiIs1Nl2SZKluWqffXVV7i7u/PQQw/hdsnJE/fffz8rV66kZcuWzJs3j3vuuYfk5GSWL19u7hMUFERYWBhTpkxh6tSplCtXjtdee4309HTmzp17ow9HRETEuSlZtolmT67aihUr6Nq1a4lEGaBbt27ExMTw7LPPkpeXR6tWrXj55Zd56qmngAvLMWbOnIlhGLRt25b777%2BfwsJCXn/99Rt6HCIiIiKXo8qyXLUlS5ZY3RYREUFsbCwACxYsMCfU33//PS4uLvj5%2BQEQGBjIBx98cP2DFRERudmpsmwTzZ5cFy%2B99BKDBg0iPT2djIwM5s2bR4sWLUqtRouIiIg4KiXLcl288MILeHt707ZtW9q1a4erqytTpkyxd1giIiI3H32Cn020DEOuCx8fH6Kjo%2B0dhoiIiNxkyW1Z0%2ByJiIiIiFihyrKIiIiIM1Nl2SaaPRERERERK1RZFhEREXFmqizbRMmyiIiIiDNTsmwTzZ6IiIiIiBWqLIuIiIg4M1WWbaJkWURERMSZKVm2iWZPRERERMQKVZZFREREnJkqyzbR7ImIiIiIWKHKsoiIiIgzU2XZJkqWRURERJyZkmWbaPZERERERKxQZVlERETEmamybBPNnoiIiIiIFaosi4iIiDgzVZZtomRZRERExJkpWbaJZk9ERERExApVlkVEREScmSrLNtHsiYiIiIhYocqyiIiIiDNTZdkmmj0RERERZ%2BbiUvY3GyUmJjJo0CCaNWtGmzZtmD59OoWFhaX2nT9/Ph06dKBx48b06tWLffv2mbfl5eXxyiuv0KpVK8LDwxk%2BfDhnzpyxOb6LKVkWERERkRtqxIgRVKtWjZiYGObPn88333zD/PnzS/SLiYlh9uzZ/Otf/%2BLbb7%2Blbdu2DB06lKysLABmzpzJgQMHWLp0KevWrcNkMvHiiy%2BWaaxKlkVERESc2XWoLCcnJxMXF2dxS05OvqJwYmNjOXjwIM8//zxeXl7cdtttDBgwgGXLlpXou2zZMrp160ajRo2oUKECAwcOxMXFhc2bN1NYWMjKlSt5%2BumnqV69Ot7e3owcOZItW7aQlJRUZtOnNcviVNzTyu6PwyblykGVKrhlnIZz5%2BwdDT16VLV3CGbn371r3x6KiuwbC8CPdxv2DsHsllugHnBg0W5ycuwdDTRuYrJ3CMXCwmD3buo9fg/s2WPvaGDGDHtHcEFAADTtQ9P4/8AVJirX1W57B/CngAC4/Xb43/8cY14AgoPtHUGZWrp0KbNmzbJoGzZsGMOHD7/svnFxcQQGBuLt7W1uq1evHgkJCWRmZuLp6WnRt3PnzubvTSYTISEhxMbGUrduXTIyMqhfv755e%2B3atalQoQJxcXFUrVo2r31KlkVEREScmEHZ/%2BPbo0cPIiMjLdr8/f2vaN%2B0tDQqVapk0XY%2BcU5NTbVIltPS0iyS6vN9U1NTSUtLAygxVqVKlUhNTb2yA7kCSpZFREREnNj1eBcvICCAgICAMhvPMIrf5TOZLp/YG4bxl/0ut/1qac2yiIiIiNwwvr6%2BJSq/Z8%2BexWQy4ePjY9Hu4%2BNTal8fHx98fX0BSmxPT083bysLSpZFREREnFhRUdnfbBEaGsqJEycsLvEWGxtLnTp18PDwKNE3Li7O/H1hYSEHDhygUaNG1KxZE29vb4vthw4dIj8/n9DQUNuCvIiSZRERERG5YerVq0fDhg2ZOXMmmZmZHDlyhHnz5tGrVy8AOnbsyA8//ABAr169%2BPzzz9m7dy85OTm89957uLm5cd999%2BHq6spjjz3G%2B%2B%2B/z8mTJ0lNTeXNN9/k/vvvx8/Pr8zi1ZplERERESfmCFceulR0dDQTJkwgMjISLy8voqKi6N27NwAJCQlkZ2cD0KpVK0aPHs3YsWNJSUmhfv36zJkzhwoVKgDF12vOzs6mR48enDt3jhYtWvDqq6%2BWaaxKlkVEREScmCMmy9WqVeP9998vddvBgwctvu/du7c5kb6Um5sb48ePZ/z48WUe43lahiEiIiIiYoUqyyIiIiJOzBEry38nqiyLiIiIiFihyrKIiIiIE1Nl2TZKlkVEREScmJJl22gZhoiIiIiIFaosi4iIiDgxVZZto8qyiIiIiIgVqiyLiIiIODFVlm2jZFlERETEiSlZto2WYYiIiIiIWKHKsoiIiIgTU2XZNqosi4iIiIhYocqyiIiIiBNTZdk2SpZFREREnJiSZdtoGYaIiIiIiBWqLIuIiIg4MVWWbaNkWURERMSJKVm2jZZhiIiIiIhYocqyiIiIiBNTZdk2qiyLiIiIiFihyrKIiIiIE1Nl2TZKlkVEREScmJJl25T5MowOHTqwbNkyAPr06cOMGTOs9g0ODmbr1q0l9rvexo8fz3vvvXdDHuvvYuXKlURERNg1hlGjRjF27Fi7xiAiIiJysauqLOfn5zN79my%2B/vprkpKScHd3JygoiGHDhtGsWTMA1q1bd02BXOt%2B12LHjh1MnToVgMOHDxMdHc3u3bvJyMigcuXKtGzZkn/%2B8594e3vfsJhulJ49e7Jv3z42bdpE1apV7R2OiIiIXGeqLNvmqirLU6dOZcuWLURHR/Pjjz%2ByceNGWrRowaBBg0hMTLxeMZappKQkkpOTadiwIZmZmfTr14/AwEBWr17N3r17WbhwIQkJCYwePdreoZa5w4cPc%2BjQIVq0aMGqVavsHY6IiIiIw7uqyvL333/PI488QnBwMACenp4MHTqUwMBA3NzcAIiMjGTQoEH06tULgNzcXEaOHMmWLVvw8/Pjueeeo2PHjiXGvni/sWPH4uHhQbly5Vi1ahUuLi488cQTDB48GIBjx44xcuRIDh8%2BTIMGDejVqxfPPfccBw8epLCwkOnTp7N27VoyMzO57bbbGDNmDC1atACKq8phYWGUL1%2BeuLg4/vjjD5588kl8fHwAuO2225g%2BfTo///wzhmGwc%2BdOnnjiCWbNmsXkyZNJSUkhIiKCGTNm4OHhAUBMTAzR0dEkJiZy66230qNHD/r27QsUL0Vp1KgRzz//PADHjx%2Bnbdu2rF27ljvvvJPly5czZ84ckpOT8fX1pW/fvvTv3x%2BA33//nUmTJrFnzx6Kioro2LEjL7/8MhUqVCA7O5sJEyawdetW8vLyCA4OZvz48dSrV8/qz2/58uW0adOGVq1aMXv2bIYMGVKiz7Jly4iOjiYvL48OHTrwyiuvmH%2B2S5YsYcGCBSQlJXHbbbcxaNAgOnfuDMCZM2eYMGECu3btoqCggMaNGzNx4kRz9To4OJgXX3yRDz/8kF69evHMM8/w2Wef8f7773P27Fkeeughiq7yX9/k5GRSUlIs2vxdXQnw97%2Bqca4LV1fLeztzcaDr3phMF%2B4dIa5bbrF3BBdUqGB5b3dhYfaOoFhIiOW9vQUE2DuCC3x9Le%2BlmObFgirLNjKuwtChQ41OnToZBw4csNqnTZs2xuLFiw3DMIzHH3/caNy4sRETE2Pk5eUZCxYsMOrXr2%2BcOnXKMAzDCAoKMrZs2VJivzFjxhjNmjUzVq5caeTn5xvLly83QkJCjKSkJMMwDKN79%2B7G8OHDjYyMDGP37t1Gu3btjKCgIMMwDOOLL74wIiIijJMnTxqFhYXGl19%2BaURERBgFBQWGYRjGyy%2B/bLz33nuGYRhGSkqKUb9%2BfWPChAlGWlpaqcfz/fffG0FBQcaIESOMtLQ049SpU0anTp2MKVOmGIZhGD///LNRr149Y8OGDUZ%2Bfr6xbds2o379%2BsbmzZvNc/DGG2%2BYx0tMTDSCgoKMw4cPGydOnDBCQkKM7du3m8cKDw83fv75Z6OoqMjo2rWrMX78eCMrK8v4448/jL59%2Bxrjxo0zDMMw3n33XePBBx80UlNTjYKCAuODDz4wunXrZvXnkpeXZ4SHhxubN282srKyjLvvvtvYuXOnefuKFSuM0NBQ46WXXjIyMjKMX375xWjRooUxd%2B5cwzAMIyYmxrjnnnuMXbt2GXl5ecaqVauMkJAQIz4%2B3jAMwxg7dqwxYMAAIysry8jIyDD69etnjB492jx%2BUFCQ8X//939GSkqKUVRUZBw5csQIDg421q1bZ%2BTl5RmfffaZ0ahRI2PMmDFWj%2BFS0dHRRlBQkMUt%2Bt//vuL9RUREbgb795f97WZyVZXl8ePHM3r0aKKioggMDKRx48a0bt2a9u3bm6uPl2rUqBFt27YF4PHHH2f27Nls376dhx9%2B%2BC8fKzAw0Nync%2BfOvPTSS/z6668YhsFPP/3EhAkT8PT0JCwsjPbt2/Phhx8CkJ6ejqurKxUqVMDFxYWuXbvSpUsXXP4sYe3YsYNHHnkEAD8/P9544w1ee%2B01li1bRkhICM2aNaNDhw40bNjQIp6BAwfi7e2Nt7c3PXv2ZNGiRbz00kusWLGC5s2b065dOwAiIiJo06YN69evp3Xr1n95jBkZGRQVFZkr1CEhIXz77be4uLiwb98%2BDh8%2BzKeffkrFihWpWLEiw4cPZ%2BDAgUycONHiOMuVK8egQYMYNGiQ1cfauHEjLi4uREREUK5cOdq1a8eKFSto2rSpuU9%2Bfj7PPvssnp6e1KlThy5durBlyxaefPJJVqxYwQMPPECTJk0AiIqKYuHChWzcuJHg4GAmTJjAuXPnqFixIlD8TsEnn3xiEUOnTp3w8/MDiqvxISEhtG/fHoDu3bszf/78v5yvS/Xo0YPIyEiLNn9XVzh9%2BqrGuS5cXaFyZUhLg8JCe0dD9i1V7B2CmclUXM3NyQHDsHc08Ouv9o7gggoVoHZtOHoUcnPtHQ3Ue/wee4dQLCQEFi%2BG3r0hPt7e0cCoUfaO4AJfX%2BjSBb76Cs6csXc0jsMR56VPH3tHINfoqpLlatWqsXjxYg4fPsx3333Hzp07GTduHP/%2B979ZtGhRqSeM1alTx/y1i4sLVatWJSkp6bKPVaNGDfPXt/z5Pmlubq5534u3161b1/x1ly5dWLlyJW3atDEnrl27dsXNzY2TJ0/yxx9/EBoaau7fqVMn2rZty65du9i5cyfffvstH374IT179uS1114z96tdu7b561tvvZXk5GSgeFnFnXfeaRF77dq1iY2Nvewx3nXXXXTr1o2ePXvSuHFj7r33Xh555BGqVKlCYmIihYWFhIeHW%2BxTWFhIamoqvXr1IiYmhtatW9OyZUvatWtHhw4dMJ1/j/sSy5cvp0uXLpQrV/wjj4qKYtiwYYwbNw5PT08AvL29Cbjo7cVbb72VLVu2mI/z0ljuuOMOTp48CcBvv/3GtGnT2L9/P7m5uRQVFZX4fahevbr566SkJG699VaL7TVr1rzsnF0sICDAIt4/B4Zz565qnOuqsNAh4nGkt%2BDOL70wDMeIKyfH3hGUlJvrIHHt2WPvCCzFxztGTH8%2B/zuUM2ccMy5707wAjvFc%2B3d2TSsG69SpQ58%2BfXjnnXfYsGEDBQUFLFq0qPQHuGRRomEYuLu7Xz6wyyxmdL1oLejFfX18fFixYgVz5syhZs2avPnmm/Ts2ZNz586xY8cO7rnnHsqXL28xlpubGxEREYwaNYrly5fzxhtvsGTJEo4ePWruU3hJdfDipPTSBNUwDAoKCkqN%2B%2BJ1uSaTiWnTprF69WruvfdeVq9eTefOnTl27Bju7u5UrFiR2NhYi9uBAwfw9fWlVq1a/Pe//%2BWNN96gUqVKvPLKKzzzzDOlPuaJEyfYvn07n332GU2aNKFJkyaMGDGC7Oxs/vvf//7lcVz8jkFpiXhBQQFFRUUMGTIEPz8/1q1bR2xsLC%2B99FKJvucTdSiuYl/K1UHW94qIiIicd8XJ8qlTp5gwYQKZmZkW7f7%2B/oSEhJRoPy8hIcH8dWFhIUlJSTZdsqxKleK3k89XNAEOHjxo/jo/P5%2BsrCyaNm3KmDFj%2BOyzz4iLiyM%2BPp4dO3aYL3EHxUsB5s2bV%2BIx7r33XgCLYzp27Jj56%2BPHj5uPoVatWhw5csRi/4SEBHOV1M3NjdyL3k%2B9eJyioiLS0tK48847GTx4MKtWrcLb25uYmBhq1apFdna2xVVGMjMzSU1NBSA7O5tz587RqlUrXn31Vd59912%2B%2BeYb8/aLrVy5kjp16rBmzRo%2B//xzPv/8c7744gv69OnDihUrzP3Onj3LmYvervr999%2Bv6Dj/%2BOMPfv/9d/r06YPvnydTxMXFlaBN2dMAACAASURBVIjjYgEBARY/Q6DE%2BCIiImK7oqKyv91MrjhZ9vX1Zfv27bzwwgscPXqUoqIicnJyWLNmDTt27Cj1ChcAu3fvZuvWrRQUFLBkyRLy8vJo2bLlNQccGBjIXXfdxdy5c8nJyWHv3r2sX7/evH3y5MmMHDmS1P9n787DoirfN4Dfw64iKMrgBpYrmNuooCJq4gIiIu645o4k7maZK4ZaCtZX0crcTf0hsliKmeCSu%2BEGmmggKalssouyzu8PcnICEhvwHYf7c11cwHvOnLk5LjzzzHvek5YGuVyOqKgo6OrqokGDBrh06RJsbGwU%2B1avXh2%2Bvr7Ys2cPMjIyABRPD1i7di2aNm0Ky5euvN6%2BfTsyMjKQkJAAf39/9OrVC0DxNI7z58/j5MmTKCgowNmzZ3Hy5Em4uroCAN555x1cuHAB6enpSE1Nxb59%2BxTHDA0NxeDBgxVF4v3795GRkQELCwu0aNECMpkMq1atQmpqKjIzM7F8%2BXIsXLgQADBz5kysXLkS2dnZKCgowK1bt1CrVq0Sa0MXFRUhKCgIQ4cORaNGjZQ%2BxowZg2vXrimeX09PDxs3bkROTg7u3buHo0ePom/fvgCK542/WF4vPz8fISEhuHv3LgYMGAATExNUr14d169fR25uLkJCQhATE4OMjAylFwovs7Ozw%2B3bt3Hq1Cnk5eVh79695ZqeQ0RERK%2BHxbJqyl0s6%2BnpYc%2BePTAxMcHkyZMhk8lga2uLffv2wcfHR6lj%2B7IRI0YgMDAQNjY22L17N7788ksYGRmpFHrt2rWIjo6Gra0t/Pz8MG3aNMUUgfnz58PQ0BD9%2BvVDhw4d8M033%2BCrr77Cs2fPkJaWpjRf2dbWFps2bUJYWBgcHBzQunVrDB06FAUFBdi2bZvSFIS%2BfftiyJAh6Nu3L5o2bYpZs2YBANq3bw9vb2/4%2BvrC2toaX3zxBXx8fBRF%2BeTJk1GzZk307NkT48ePVywpBxTPr3ZxccGECRPQtm1bTJ06FRMnTlRcLOjr6wu5XI7evXujb9%2B%2BKCwsxOeffw4A%2BOyzz5CYmIgePXrAxsYGx44dw6ZNm0pMXzl//jySkpLg4uJS4jy%2B%2B%2B67kMlkiu6yqakpWrVqhX79%2BmHUqFFwcHBQXAzp5OQEd3d3LFy4EJ07d8b333%2BP7du345133oGOjg5WrFiBLVu2oFu3brhx4wY2btyI2rVrKy7g%2ByeZTIZFixZh%2BfLl6NKlC%2B7evVvmCy4iIiIiUSRyuTpcj/565HI5CgoKFHOPAwMDsWHDBsXFaBXp0qVLGD9%2BPCIjI8s115oEU5futI4OUKdO8cocanCBX3YN9blbo5YWUL06kJOjHt2Jl2ZxCVetGtCqFfDbb%2BpxgV/HTqVfMPzGyWTA1atAhw7qcYGfj4/oBH%2BTSotXWdizhxeyvUwdz8v8%2BcKe%2BsqVij9mx44Vf0x1pQa3BHh9EyZMwKJFi/Ds2TMkJSVh3759r1ymjYiIiIjodb2VxbK3tzfS0tJgZ2cHV1dXNGvWTHGHPCIiIiL6G%2Bcsq%2Ba11llWF%2Bbm5ti2bdsbea7OnTsrrbZBRERE9DapasVtRXsrO8tERERERG/CW9lZJiIiIqLyYWdZNewsExERERGVgZ1lIiIiIg3GzrJq2FkmIiIi0mBv22oYaWlpmD17NmxtbWFnZ6dYLrgsP//8M1xcXCCTydC3b1/4%2B/srtgUGBsLS0hJt2rRR%2BkhJSSl3HnaWiYiIiEhtLFmyBAUFBTh8%2BDAKCgowZ84crFu3DsuWLSuxb1RUFBYsWID169ejV69euHDhAqZPn46mTZuiU6dOyMrKgq2tLbZv3/6f87BYJiIiItJgldEJTkpKQnJystKYqakppFKpSsdNSUnBiRMnEBwcDBMTEwCAh4cHZs2ahUWLFinu3vxCWloa3N3d0adPHwCAnZ0dWrRogYiICHTq1AkZGRkwNjZWKROLZSIiIiJ6Lf7%2B/vDz81Ma8/T0xMyZM1U67u3bt6GtrY2WLVsqxlq1aoWcnBzcu3dPaRwAevTogR49eii%2BLygoQHJyMszMzAAAmZmZuH//PoYPH464uDg0btwY8%2BbNQ7du3cqdicUyERERkQarjM7yyJEjYW9vrzRmamqq8nHT09NhaGgIiUSiGHvRGU5LS3vl4318fFC9enU4OTkBAGrVqgWpVIoFCxagQYMG8Pf3h7u7Ow4dOoSmTZuWKxOLZSIiIiINVhnFslQq/c9TLkJCQvDpp5%2BWum316tVlPu7lAvqf5HI5fHx8cPjwYezevRv6%2BvoAUKLTPXHiRBw5cgQ//vgj5syZU668LJaJiIiI6I1xdXWFq6trqdvOnTuHrKwsFBYWQltbG0BxtxmAYg7zPxUVFWHRokWIjIzE/v37YW5u/q/P36hRIyQlJZU7L5eOIyIiItJgb9PScVZWVpDL5YiOjlaMRUVFwcjICO%2B%2B%2B26pj1m9ejV%2B//33UgvlLVu24NKlS0pjsbGxryyoX8ZimYiIiIjUgomJCRwcHPDVV18hNTUVCQkJ2LRpE4YNGwYdneIJER988AFCQ0MBAFeuXMEPP/yALVu2oFatWiWOl5KSAi8vL8TFxSE3Nxc7duxAfHw8hgwZUu5MnIZBREREpMHetjv4rVy5EitWrICzszN0dHTQp08fzJ07V7E9Pj4eGRkZAIpvOpKVlYVevXopHcPa2hrbt2/H/PnzIZfLMX78eOTk5KBFixbYtWuXYrWM8mCxTERERKTB3rZiuWbNmvD19S1z%2B4kTJxRfr169%2Bl8vCtTX18fixYuxePHi/5yH0zCIiIiIiMrAzjIRERGRBnvbOsvqhp1lIiIiIqIysLNMREREpMHYWVYNi2UiIiIiDcZiWTWchkFEREREVAZ2lomIiIg0GDvLqmGxTERERKTBWCyrhtMwiIiIiIjKwM4yERERkQZjZ1k1LJZJs2Rni05QTE8PqFMHyMkB8vJEp4G%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%2BeefaNmyJWJjY0vdvnnzZowdOxYAEBQUhG7dupV5LB8fH4wbN%2B71AleiV/1sb8L%2B/fthb28v7PmJiIiI/uk/F8v29vZ477330KZNG7Rp0wadOnXC6NGjcfHixYrM91pu3bqF8%2BfPl3v/y5cvw8bGRvF9ZGQkPDw80LlzZ7Rv3x4ODg746quvkJubW67jffjhh/j%2B%2B%2B9fO/ebtH79erRs2RJHjhwRHYWIiIjegKKiiv%2BoTGlpaZg9ezZsbW1hZ2eHRYsW4dmzZ6Xue/HiRbRs2VJRj774iIyM/OtnL4Kvry969%2B4Na2trTJ48Gffv33%2BtPCp1lpcsWYKoqChERUXhzJkz6NOnD9zd3REfH6/KYf%2BzwMDA1yqWL126hM6dOwMAfvnlF4wdOxatWrXC8ePH8euvv2L16tU4ceIEpk6dCrlcXlmx35jCwkIEBwejf//%2BCAwMFB2HiIiI3oC3rVhesmQJnj9/jsOHDyMoKAj379/HunXrSt03KysL77zzjqIeffHRtm1bAMCePXtw5MgRbNmyBadOnUKTJk3g6en5WnVdhU3DqFatGiZNmgQzMzP88ssvAIDU1FTMmjULXbt2RadOneDu7o7ExETFY1q2bImdO3fCzs4OmzZtAgBcuHABI0eOhEwmQ/fu3bFz507F/hs3boSHhwe%2B%2B%2B47dOvWDdbW1vD29gYAfPbZZ9i3bx%2B2b9%2BOvn37AgAOHjyIfv36oX379rC3t1c6VmJiIpKSktCmTRsUFhZixYoVGDNmDGbOnAkjIyPo6uqiY8eO2LJlCxo1aoS0tDTFY%2B/du4fBgwejffv2GDNmDBISEhT5RowYUer5OXHiBBwcHCCTyTBv3jw8f/5csS0oKAjOzs744osv0K5dOzx69AhFRUXYsGED%2BvTpg3bt2mHYsGGIjo5WPMbe3h4BAQGYNm0aZDIZevfujbNnz/7rn9Hp06ehpaWFjz76CBcvXsSjR49K7BMZGQknJyfIZDJ88MEHSn9eERERGDFiBDp06AAHBwd8%2BeWXKPrrX4xcLoePjw969uwJmUyGIUOG4MqVK4rHjhs3DuvWrYOLiwsmTZoEALhx4wZcXFzQvn17TJ48GU%2BePPnX/ERERKTZUlJScOLECcydOxcmJiaQSqXw8PBAcHAw8vPzS%2ByfkZEBY2PjMo8XEBCACRMmoGnTpqhRowbmzJmDuLg43Lhxo9yZKvwCv8LCQmhrawMA1q1bh%2BzsbISHh6OoqAienp5Yu3YtfH19FfuHhYUhJCQEderUwePHj/Hhhx9i6dKlGDRoEGJiYjBlyhTUqVMHAwcOBABcvXoVbdu2xcmTJ3HlyhVMmDABLi4uWLp0Ke7evYt27dphwYIFePz4MZYuXYrt27eja9euiI6OxsSJE9GlSxdYWlri0qVLkMlk0NXVRWRkJB4%2BfFjqHOJ69eph9erVAICcnBwAxUX4t99%2BCx0dHYwbNw5bt27FkiVLyjwnmZmZmDt3LubNm4dRo0bhwoULmDdvHlq1aqXYJykpCXp6eoiIiICOjg527NiBw4cP47vvvkPDhg3h7%2B%2BP8ePH49SpU6hevToAYNu2bVi7di0sLS2xYsUKrF69GqGhoWXmCAgIgLOzMxo2bIiOHTsiKCgInp6eJfbZunUratSoAU9PTyxduhRbtmxBSkoKJk%2BejIULF2L48OG4c%2BcOpk6dCqlUijFjxuDQoUMIDg5GQEAAzMzMsGHDBsyZMwdnzpxRHPvIkSPYsGGD4gXKrFmz4OTkhICAANy%2BfRuzZs2Cjk75/0omJSUhOTlZacw0NxdSU9NyH6PS6Ooqfya1ZWgoOsHf/vqnrfgsnFQqOkExExPlz6LJZKIT/M3SUvmzaHXrik5QrFYt5c9VXGV0gkv9HWxqCqmK/2/cvn0b2traaNmypWKsVatWyMnJwb1795TGgeIaKyMjA%2BPGjUN0dDTq1auHqVOnwsXFBc%2BfP0dMTIxSvVWjRg1YWFggKioK7du3L1emCiuWnz59iv/7v/9DamoqevbsCQBYsWIFCgoKFMWdvb099u7dq/S4/v37o%2B5f/7iOHDmC5s2bY8iQIQCKO89ubm44dOiQoljW1taGu7s7tLS00LVrV5iYmCA2NlbRbn8hKysLRUVFqFGjBgDA0tIS586dg5ZWcTP95SkY8fHxMDAwQP369cv1s44ePVrxl6Fr166Ii4v71/3Pnj0LAwMDjBs3DlpaWujZsyc6duyoNP8mKysLU6dOhe5fxVVgYCAmTpyId999F0BxZ3bXrl04deoUnJycAAC9evVS/NwODg4ICQlBUVGR4md8WXJyMn755RfMnTsXAODi4oJvvvkGM2bMgEQiUew3ZswYNGjQAADwwQcfYM6cOSgoKMDhw4fRoEEDjBkzBgDQpk0buLq64vjx4xgzZgycnZ3Rq1cvxau7/v3745tvvkFSUpLiXLVt21aR9%2BbNm0hMTISHhwf09fXRvn179O7dG6dPny7XnwEA%2BPv7w8/PT2nMc8YMzJw1q9zHqHT16olOAABQx5JdXV5HWFuLTlDSe%2B%2BJTvAXa/W5CBkAMGCA6ATF1OjibIV9%2B0QnUE9/vdNMFa/U38Genpg5c6ZKx01PT4ehoaFSbfKitnj5Xf4XqlevDjMzM8ybNw9WVlb4%2Beef8cknn8DU1BRNmjSBXC4v0Xk2NjYu9VhlUalY9vb2VnRdDQwMYGVlhZ07dyqKzvv372PNmjW4efMmnj9/jqKiIpiZmSkd4%2BUC9cGDB4iKikKbNm0UY3K5XFEwAkCDBg2UisFq1aopTWl44UXR7ebmho4dO6J79%2B4YOnQo6tSpA6C4WB42bBgAQCKRoKioCHK5XOkPpyyNGjVSfG1gYIC8vLx/3T8hIQH16tVTym1hYYE7d%2B4ovjcyMoLhSy2uBw8eYNWqVYrzCxRPUn/8%2BHGZOQoLC5Gfnw99ff0SGYKDg9G8eXO0aNECQHEx6%2B3tjYsXL6Jr166K/Zo2bar4ukGDBsjPz8eTJ0/w559/Km0DgCZNmuDkyZMAgOfPn2P16tU4c%2BYMMjMzFfu8fG5eFOEvzomhoSGMjIyUzsnrGDlyZInVM0xzcwFBc%2BaV6OoWF8oJCUApbxu9afn1zEVHUKKrqxanBQBw/broBH%2BrXr24UL51C/jrjSyhrKP3iI5QzMSkuFA%2BcgRITRWdBvjyS9EJ/mZpWVwojx4NvDRVT5hFi0QnKFarVnGhfPw4kJ4uOk2x4cOFPXVldJZL/R1cznd2Q0JC8Omnn5a67eW6559Kq9Hc3Nzg5uam%2BH7gwIEICwtDUFAQFixYUOpxylvvvaBSsbxkyRKMGjWq1G1FRUWYPn06OnbsiGPHjsHExAR79%2B7Ftm3blAO89La7gYEBevbsiW%2B%2B%2BabM5yyta1oaiUSCNWvWYMqUKQgPD8ePP/6Ibdu2ISAgALq6unjy5ImiKG/cuDHy8vJw//59pcK8opRWTP/z5/jn9AMDAwN4e3vDwcGhzOOW91wAxZ3qhw8folOnTkq5AgMDlYrll4/5YvL7i%2BL7n3%2Bx5HK5Yv6Ql5cX7ty5g/3798PCwgIxMTFwdnYu82cszzl5FalUWvLtnthY4BUvXt6o/Hz1ykMlZGeLTlBSTo6a5EpKEp1AWWqqemS6dk10gpKio9UjV0qK6ATK0tPVL5MAlVEsl/o7uJxcXV3h6upa6rZz584hKytLaVpv%2Bl8veEzKORWrUaNGuHnzJmrVqgUtLa0SXeSMjIxyHwuoxHWWU1JSFPOAXwS6devWvz7GwsICd%2B/eVbpCMTk5%2BZWd29IUFRUhPT0dTZs2xbRp0xAcHAxjY2OEhYXh0qVL6NChg6J4s7KygoWFBbZv317iOE%2BePIGTk9Mrp1r8G6lUioSEBMXFcABeuZ6xubm5UucZKF4L%2Bb%2B4fPky/vzzTwQEBCAkJETxsW7dOhw/fhxZWVmKfV/%2BOR89egQDAwPUqlULFhYWuHfvntJx4%2BLiYG5e3LGMjIyEi4sLGjduDIlE8so/a6lUiuzsbKXnFrnGMxEREYlnZWUFuVyutKhBVFQUjIyMSm1oHjhwAMeOHVMai42Nhbm5OfT19dG8eXOlmiQzMxMPHjwoMX3331RasWxiYoLq1avj%2BvXryM3NRUhICGJiYpCRkVHqtAkAGDBgANLT07F582Y8f/4c8fHxmDRpEnbt2lWu59TX18f9%2B/eRlpaG0NBQDB48WFGA3b9/HxkZGbCwsFCarwwUdzRXrFiB4OBgrF69GqmpqSgoKEBERAQmTJiAZs2aqdRx7tq1K7Kzs%2BHv74%2B8vDyEhYW98ipMNzc37N27F9evX0dhYSFCQ0Ph7Oxc6goWrxIQEIAePXrAysoKjRo1Unw4OTmhVq1aOHz4sGLfvXv3IjExEVlZWdi9ezf69OkDAOjduzcePHgAf39/5OfnIzIyEsHBwRg8eDCA4ldxUVFRyMvLw9WrVxV/cV9eTeNl7dq1Q82aNbF161bk5eUhIiJCMaWDiIiIKs7btHSciYmJ4j4XqampSEhIwKZNmzBs2DBFk/ODDz5QLGjw7NkzrFy5Ejdv3kR%2Bfj5CQ0Nx5swZxcyHUaNGYffu3YiNjUV2djZ8fHxgZWWlNOX3VSqtWNbR0cGKFSuwZcsWdOvWDTdu3MDGjRtRu3Zt9OvXr9TH1K5dG5s3b0Z4eDisra0xduxY9OrVS7HU2KsMGTIE586dg6OjI/r37w8XFxdMmDABbdu2xdSpUzFx4kT06dMHly5dUroZCQB069YNe/fuxR9//AEHBwdYW1vDy8sLQ4cOxZcqzk%2BrX78%2B1q1bh23btsHGxgY//PADRo8e/a%2BPGTZsGEaPHg1PT0907NgRW7duxcaNG5Xm/ZZHVlYWfv75ZwwdOrTENi0tLbi6uiqtuezm5oaJEyeiR48e0NPTU8wpatiwIfz8/ODv7w8bGxt89NFHmDVrluJtlPnz5yMmJgY2Njbw8/ODl5cXevbsiSlTpii9OnzBwMAAmzZtUvxZ%2B/n5lfvPmYiIiDTXypUrYWRkBGdnZ4wYMQJt27ZVLFAAFC/MkJGRAQAYP348Ro8ejVmzZsHGxgZbt27F5s2b8d5fV0q7ublhyJAhmDp1Knr37o2kpKQSFya%2BikSuCXfbIHpBXaZy6OkB5ubFFxuqwZzlfIumr97pDVKnC/xesTz5G2VoWLw6x6%2B/qsec5V5XfV%2B905sglRavQLFnj3rMWS7joiEhZDLg6lWgQwf1mLO8ebPoBMXq1i2%2BoC4gQH3mLHt4CHvqyrjucs2aij%2BmuqrwdZaJiIiISH1U9h33NF2lTcMgIiIiInrbsbNMREREpMHYWVYNi2UiIiIiDcZiWTWchkFEREREVAZ2lomIiIg0GDvLqmFnmYiIiIioDOwsExEREWkwdpZVw2KZiIiISIOxWFYNp2EQEREREZWBnWUiIiIiDcbOsmrYWSYiIiIiKgM7y0REREQajJ1l1bBYJiIiItJgLJZVw2kYRERERERlYGeZiIiISIOxs6wadpaJiIiIiMrAzjIRERGRBmNnWTUslomIiIg0GItl1XAaBhERERFRGdhZJiIiItJg7Cyrhp1lIiIiIqIysLNMREREpMHYWVYNi2UiIiIiDcZiWTWchkFEREREVAZ2lomIiIg0GDvLqmFnmYiIiIioDOwsExEREWkwdpZVw2KZNMv166ITFKtVCzA3B%2B7eBdLTRafBsHlNRUdQaNIE%2BPJLYOFC4N490WmAQ2vviI7wN319AO/A2vQPwChXdBrgqugAamrzZtEJ/la3bvHnRYuAlBSxWQDgww9FJygmkwHDhwNr1gDXrolOU8zDQ9hTs1hWDadhEBERERGVgZ1lIiIiIg3GzrJq2FkmIiIiIioDO8tEREREGoydZdWwWCYiIiLSYCyWVcNpGEREREREZWBnmYiIiEiDsbOsGnaWiYiIiIjKwM4yERERkQZjZ1k1LJaJiIiINBiLZdVwGgYRERERURnYWSYiIiLSYOwsq4adZSIiIiKiMrCzTERERKTB3rbOclpaGlasWIFff/0VWlpa6N69O5YtW4Zq1aqV2HfJkiU4dOiQ0lhRURE6dOiAPXv2IDAwEIsXL4aurq7SPidPnkTdunXLlYfFMhEREZEGe9uK5SVLlqCgoACHDx9GQUEB5syZg3Xr1mHZsmUl9vX29oa3t7fie7lcjlGjRmHgwIEAgKysLNja2mL79u3/OQ%2BnYRARERGRWkhJScGJEycwd%2B5cmJiYQCqVwsPDA8HBwcjPz3/l4/39/VFUVIThw4cDADIyMmBsbKxSJnaWiYiIiDRYZXSWk5KSkJycrDRmamoKqVSq0nFv374NbW1ttGzZUjHWqlUr5OTk4N69e0rj//T06VN8%2BeWX%2BPrrryGRSAAAmZmZuH//PoYPH464uDg0btwY8%2BbNQ7du3cqdicUyERERkQarjGLZ398ffn5%2BSmOenp6YOXOmSsdNT0%2BHoaGhotgFoOgMp6Wl/etj9%2B/fD0tLS3To0EExVqtWLUilUixYsAANGjSAv78/3N3dcejQITRt2rRcmVgsExEREdFrGTlyJOzt7ZXGTE1Ny/XYkJAQfPrpp6VuW716dZmPe7mA/qeioiLs2rULK1euVBr/Z/E%2BceJEHDlyBD/%2B%2BCPmzJlTrrwslomIiIg0WGV0lqVS6X%2BecuHq6gpXV9dSt507dw5ZWVkoLCyEtrY2gOJuMwCYmJiUecyIiAhkZ2eXa3pFo0aNkJSUVO68vMCPiIiIiNSClZUV5HI5oqOjFWNRUVEwMjLCu%2B%2B%2BW%2BbjwsLC0KVLF%2Bjp6SmNb9myBZcuXVIai42Nhbm5ebkzsVgmIiIi0mBFRRX/UVlMTEzg4OCAr776CqmpqUhISMCmTZswbNgw6OgUT4j44IMPEBoaqvS43377rdQCOCUlBV5eXoiLi0Nubi527NiB%2BPh4DBkypNyZOA2DiIiISIO9bessr1y5EitWrICzszN0dHTQp08fzJ07V7E9Pj4eGRkZSo9JTk4udVrI/PnzIZfLMX78eOTk5KBFixbYtWsXzMzMyp2HxTIRERERqY2aNWvC19e3zO0nTpwoMXbs2LFS99XX18fixYuxePHi/5yHxTIRERGRBnvbOsvqhnOWiYiIiIjKwM4yERERkQZjZ1k1LJaJiIiINBiLZdVwGgYRERERURnYWSYiIiLSYOwsq4adZSIiIiKiMrCzTOVib2%2BPxMREaGkpv74yNTUtdb1DIiIiUg/sLKuGxTKV25IlSzBq1CjRMYiIiOg1sFhWDadhkMrkcjl8fHzQs2dPyGQyDBkyBFeuXFFsHzduHNatWwcXFxdMmjQJAPDw4UNMnz4dnTt3hrW1NZYuXYrnz5%2BL%2BhGIiIiISsXOMqns0KFDCA4ORkBAAMzMzLBhwwbMmTMHZ86cUexz5MgRbNiwAW3atIFcLoeHhwdkMhlOnjyJZ8%2BeYd68eVi1ahU%2B%2B%2Byzcj9v%2B2zilwAAIABJREFUUlISkpOTlcZMCwogrVu3wn62/6xmTeXPgjVpIjrB3xo1Uv4snL6%2B6AR/09NT/iyaVCo6QTETE%2BXPohkYiE7wt1q1lD%2BLJpOJTlDM0lL5cxXHzrJqJHK5XC46BKk/e3t7TJ06tdRpGAUFBXj69CmMjY0BANHR0Rg0aBDOnDkDqVSKcePGoXbt2tiwYQMAIDIyEm5ubvj1119Ro0YNAEBERAQmT56M69evQyKRlCvTxo0b4efnpzTmOWMGZs6apcqPSkREpFHee6/ij3nrVsUfU12xs0zl5u3tjdWrVyuNdenSBV9%2B%2BSVWr16NM2fOIDMzU7EtLy9P8XWDBg0UX8fHx6OwsBBdunRROlZhYSHS0tJgUs7u0ciRI2Fvb680ZnrzJhAeXu6fqdLUrAnY2ACXLwNZWaLTYO7h3qIjKDRqBMyfD/j6An/%2BKToN8OXsP0RH%2BJueHtCgAfDoEfDSvx9hXnp3SCgTE2DAAODIESA1VXQa9ess9%2B0LHD8OpKeLTgOsWSM6QTFLS2DfPmD0aCA6WnSaYlevCntqdpZVw2KZyq2sC/w%2B%2Bugj3LlzB/v374eFhQViYmLg7OystI%2BOzt9/1fT19VG9enVcu3ZNpTxSqRTSf75NHB2tHr8wXsjKUos89%2B6JTlDSn3%2BqSa7cXNEJSsrLU49cSUmiEyhLTVWPTNWri05QUno6kJIiOgWg4v/rFS46Wv0yCcBiWTW8wI9UFhkZCRcXFzRu3BgSiQS3XvHejIWFBXJychAfH68Yy87ORlpaWmVHJSIiInotLJZJZY0aNUJUVBTy8vJw9epVHDt2DACQmJhY6v4tWrSATCbDqlWrkJqaiszMTCxfvhwLFy58k7GJiIiqhKKiiv%2BoSlgsk8rmz5%2BPmJgY2NjYwM/PD15eXujZsyemTJmC6DLmivn6%2BkIul6N3797o27cvCgsL8fnnn7/h5ERERET/jnOWqVz%2B7S59rVq1wpEjR5TGtmzZovh6z549JR7TsGFDfPvttxUXkIiIiEpV1TrBFY3FMhEREZEGY7GsGk7DICIiIiIqAzvLRERERBqMnWXVsLNMRERERFQGdpaJiIiINBg7y6phsUxERESkwVgsq4bTMIiIiIiIysDOMhEREZEGY2dZNewsExERERGVgZ1lIiIiIg3GzrJqWCwTERERaTAWy6rhNAwiIiIiojKws0xERESkwdhZVg07y0REREREZWBnmYiIiEiDsbOsGhbLRERERBqMxbJqOA2DiIiIiKgM7CwTERERaTB2llXDYpmIiIhIg7FYVg2nYRARERERlYGdZSIiIiINxs6yathZJiIiIiIqAzvLRERERBqMnWXVsFgmIiIi0mAsllXDaRhEREREpFaioqLQt29fjBgx4pX77ty5Ew4ODujYsSNGjRqFyMhIxbbc3FwsXboUPXr0QJcuXTBz5kykpqa%2BVhYWy0REREQarKio4j8q0w8//ICZM2eicePGr9w3LCwMmzZtwtq1a3Hu3Dn07t0bHh4eePr0KQDA19cXv/32G/z9/XHs2DFIJBIsWrTotfKwWCYiIiIitZGbmwt/f3%2B0a9fulfsGBARgyJAhaNeuHQwMDDB58mRoaWnh1KlTKCwsRFBQED788EPUr18fxsbGmDNnDk6fPo3ExMRy5%2BGcZSIiIiINVhmd4KSkJCQnJyuNmZqaQiqVqnzs4cOHl3vfW7duwcnJSfG9RCKBpaUloqKiYGVlhaysLLz33nuK7U2aNIGBgQFu3boFMzOzcj0Hi2XSLEOHik4AoPg/Ef%2BNGzFy5MgK%2BY9DVYfU47QAKD43Gzf6Y9Ei9Tg3QEvRARSU/t68847oOEBL9Tg36vbvSZ2o3bnx8BCdAMBL5%2BWnn9TjvAgml1f8MTdu9Iefn5/SmKenJ2bOnFnxT/Yv0tPTYWxsrDRmbGyMtLQ0pKenAwCMjIyUthsZGSEtLa3cz8FpGESVIDk5GX5%2BfiVedRPPzb/huSkdz0vZeG5Kx/NS%2BUaOHImgoCClj5EjR5brsSEhIWjVqlWpHyEhISpnk8vlkEgk/3n7P7GzTERERESvRSqV/ueuvaurK1xdXSskR%2B3atUt0iTMyMtC8eXOYmJgAANLS0lC9enXF9szMTMW28mBnmYiIiIjeSq1bt8atW7cU3xcWFuK3335Du3btYG5uDmNjY6Xtd%2B/eRV5eHlq3bl3u52CxTERERERvDUdHR0RERAAARo0ahZCQEFy/fh3Pnj3D119/DT09Pbz//vvQ1tbGiBEj8M033%2BDx48dIS0vD%2BvXr0bdvX9StW7fcz8dpGESVwNTUFJ6enjA1NRUdRe3w3JSN56Z0PC9l47kpHc/L283BwQGPHj1CYWEhioqK0KZNGwDATz/9hIYNGyIuLg45OTkAgB49emDevHn45JNPkJycjPfeew9btmyBgYEBAGDWrFnIycnByJEjUVBQAFtbWyxfvvy18kjk8sq4RpKIiIiI6O3HaRhERERERGVgsUxEREREVAYWy0REREREZWCxTERERERUBhbLRERERERlYLFMRERERFQGFstERERERGVgsUxEREREVAYWy0REREREZWCxTERERERUBh3RAYiICEhLS0Pt2rVFxxBm0aJF5d53zZo1lZhE/djb20MikZRr3/Dw8EpOQ1T1sFgmUoGfn1%2B59/X09KzEJOovIyMDxsbGAICsrCxcvHgR5ubmsLS0FJxMnLy8PHh7e%2BOHH35AQUEBbt68ifT0dHz88cdYs2YNTExMREd8Y3JzcxVfFxUV4fTp02jYsCHMzc2hra2N2NhYJCYmon///gJTijFt2jTF10%2BePMGBAwfQu3dvWFhYQEtLCzExMTh16hQmTZokMKV6qeovPqlisVgmUsGZM2eUvr979y50dHRQv359aGtrIz4%2BHkVFRZDJZIISqocjR45g%2BfLliIiIQHZ2NlxdXZGWlob8/HysWLECQ4cOFR1RCG9vb8THx2Pr1q2KQkdXVxeGhobw9vbG%2BvXrBSd8c17%2BWT/77DN8%2BumnGD58uNI%2Be/fuRUxMzJuOJpybm5vi6ylTpmDDhg1o166d0j4RERHYvHkzJkyY8IbTqQ%2B%2B%2BKTKIpHL5XLRIYg0wddff42CggJ4eHhAR6f4dWheXh78/Pygr6%2BPGTNmCE4oTv/%2B/eHl5QUbGxvs3bsXO3bswI8//ojo6GgsXrwYoaGhoiMK0blzZxw9ehQmJiZo164dbty4AQDIzMyEg4MDLly4IDihGNbW1rhw4YLi39ELeXl5sLW1RUREhKBk4slkMly6dAl6enpK43l5eejcuTOuXbsmKJl4y5YtQ3x8PGbMmIFJkyYhMjIST58%2BxbJlyyCXy6vUi0%2BqWLzAj6iC7NmzB%2B7u7kq/4PX09DBjxgx8//33ApOJl5CQABsbGwDAqVOn4OrqimrVqkEmk%2BHx48eC04kjkUhQo0aNEuOFhYVK0xKqmpo1a%2BLUqVMlxi9cuABDQ8M3H0iNWFhY4H//%2Bx%2Bys7MVY9nZ2di8eTMaNWokMJl4x44dg6%2BvLzp16qSY412jRg0sX768yr7wpIrBaRhEFURLSwu3bt0qMeXizp070NKq2q9La9WqhdjYWFSrVg0XL17E3LlzAQCJiYkwMDAQnE4cmUyGL774Ah999JFi7OHDh1i1apXixUVVNH36dMycORNWVlZo0KABAODRo0eIjo5%2BrQsBNdHKlSsxe/Zs7NixQ/HCITs7GzVr1sSmTZsEpxOLLz6psrBYJqogo0aNwsSJE9G9e3fFL/jHjx/j7NmzGDdunOB0Yrm5uWHIkCGQSCTo0qULWrVqhaysLHh4eMDR0VF0PGGWLl0KDw8PWFtbo6CgAB07dkROTg7at29fpd8yHjFiBDp16oTw8HAkJiYiLy8PlpaWWLZsGdq3by86nlDt2rXDiRMncPPmTSQkJCAvLw9SqRTt2rWDvr6%2B6HhC8cUnVRbOWSaqQGfPnkVYWBgSEhKQn58PqVQKOzs7DBgwQHQ04a5evYrMzEzY2tpCT08PhYWF2LZtGyZMmFBi/mVVExkZiT///BP6%2BvqwsLBA8%2BbNRUcS6uuvv4aHh4foGGpp8uTJ2LZtm%2BgYaunRo0fw8PBAbGwsCgoKUKNGDeTk5EAmk8HX1xf169cXHZHeUiyWieiNuHv3Llq0aAEAiI%2BPR3h4OCwsLGBvby84mTiPHj0qc5uWlhbq1q1b4iK3qqB79%2B44dOgQVy8oxaBBg7Bq1Sq0bt1adBS1FRUVhfj4eL74pArDYpmogsjlcnz33XcICQlBcnIyfv31Vzx9%2BhS%2Bvr74%2BOOPq/RbpLt27cKWLVtw7tw5pKamwsnJCcbGxsjMzMTEiROV1pGtSiwtLf/1ZhNaWlqwtbWFt7c3zMzM3mAysXbu3Inw8HA4OTmhfv36JV4w2NnZCUomno%2BPD0JDQ9G2bVvUr18furq6StvnzZsnKJl47LpTZal6LQuiSvLVV1/h1KlTcHd3x9KlSwEA%2Bfn5iI2NxZo1a7BixQqxAQXavXu34pdYYGAgpFIpgoOD8ccff8Dd3b3KFsvffvst/ve//2H48OGwsrKClpYWoqOjERgYiOnTp6NatWrYuXMnvL29sXHjRtFx35jPP/8cAPDrr7%2BW2CaRSHD79u03HUlt3LhxAw0bNsSTJ0/w5MkTpW3lvcufpkpJScHNmzfZdacKx84yUQWxtbVFQEAAGjZsqLRmbnJyMgYPHoyzZ88KTiiOTCZTrP86btw49OjRA1OnTgUAtG/fHtevXxcZT5ghQ4bA19cX7777rtJ4bGwsli5din379iErKwt9%2B/bFxYsXBaWkt8XLU52qInbdqbKws0xUQfLz81GvXr0S49WqVcPTp08FJFIfUqkUly9fRrVq1XD16lV4eXkBAO7duwcjIyPB6cSJjY0tdV6umZkZ7ty5o/i%2BqKjoTcZSW3l5eejXr1%2BpazBXNSkpKcjLy1N8n5iYiMmTJ%2BPq1asCU4nFrjtVFhbLRBXkvffew9atW%2BHu7q4Ye/bsGXx8fKr824JTp07FhAkTIJfLMXjwYDRp0gQZGRmYMmVKlb3VNVDcVffw8MDkyZPRsGFD6Ojo4NGjR9ixYwcsLS2Rn5%2BPmTNnwtbWVnTUNyoxMRHr1q3DrVu3lArCzMxM1KpVS2Ay8a5evYo5c%2BYgOTm5xLYePXoISKQ%2B9uzZU%2Ba2u3fvvsEkpGk4DYOogkRHR2PKlCkAgCdPnqB58%2BaIj4%2BHiYkJNm/ejJYtWwpOKFZCQgKysrIUV6bL5XKEhobCzs4OxsbGgtOJkZaWhpUrVyI8PFxRFGpra6N79%2B6YPXs2rKyssHjxYixcuLBKnaPp06cjNzcX9vb2%2BOKLL7Bo0SLcunULsbGx2LhxI6RSqeiIwgwdOhR2dnbo378/hg8fjuDgYNy8eRM///wzVq5cibp164qOKBy77lTRWCwTVaBnz57h1KlTiI%2BPh4GBASwsLGBnZ1cll/8qj8TERAwcOBCXL18WHUUouVyOtLQ0AMBvv/2GoKAghIeHK%2Ba9VzU2NjY4deoUqlevrjT/PyQkBFFRUYoLaKuiDh064MqVK5BIJGjbti0iIyMBFHecN23aVKVXg3hV1/3bb78VkIo0AX%2BDE1UQLy8vDBgwAP379xcdRe3ExsZiyZIluHXrFvLz85W2WVlZCUqlPh49eoSgoCAEBwcjNTUVffr0wddffy06ljA6OjrQ1tYGAOjr6yMjIwPGxsZwcnLC6tWrq3SxbGRkhKSkJJiZmaFmzZqIj4%2BHubk52rRpU%2BU7p6tWrcLgwYPL7LoT/VcslokqSHJyMqZOnYqaNWvC0dERzs7OaNu2rehYamHFihWwsLDAlClTMHv2bGzatAk3b97E5cuX8b///U90PCHy8vJw7NgxHDx4EBEREWjbti1SUlIQHByMpk2bio4nVKdOnTBjxgxs2LABrVu3xpo1azB27Fhcv369yt/t0dnZGUOHDsXRo0dhZ2eHmTNnwsXFBVFRUWjYsKHoeELFxcXh4MGDkEgkkEgkaNasGZo1awYLCwt8/PHHVbrrTqrhNAyiCpSbm4vTp0/j%2BPHjOH36NAwNDeHk5AQnJye0atVKdDxhOnXqhAsXLkBXV1fprePTp0/j0KFDWL9%2BveCEb9aKFSsQGhqK2rVrY%2BDAgRg0aBDMzc1hbW2NQ4cOoUGDBqIjCpWWloZ169ZhxYoV%2BOOPPzB9%2BnQ8evQI1atXh5eXFwYOHCg6olAhISFwcXFBTk4OvLy8FIXyggULqvQ7Ne%2B//z78/f1hZmaGbt264f/%2B7/9gbm6O/Px82NjYKJavJHpdLJaJKklBQQHOnz%2BP7777DhEREVX6Rgp2dnY4evQoatasiS5duuCHH36AVCpFfn4%2BunTpgitXroiO%2BEZZWlrCyckJs2fPRuPGjRXjLJZLJ5fLkZKSAhMTE8X0DKJ/8vHxQUhICI4ePQpvb2/cuXNH0XX//fffcfjwYdER6S3FaRhEFSwvLw9nz55FWFgYTp06BW1tbYwZM0Z0LKHef/99jBkzBvv27UPHjh2xaNEijBgxAjdu3KiSS4Ft3boVBw8exMCBA2FlZYVBgwbBycmJa8G%2B5Pfff0d4eDgePXqE/Px8NG7cGAMGDIC5ubnoaMLt378fx48fV5wbCwsLDB48GC4uLqKjCbVgwQI0a9YMNWrUwNKlS%2BHl5YUDBw6gYcOGWLduneh49BZjZ5mogoSEhCA8PBxnz56FoaEh%2BvXrh/79%2B6Njx45VvgjKy8vDd999B3d3dzx58gRz585VvHW8bNmyKreO8AtpaWk4dOgQAgMDERcXB7lcjs8%2B%2BwwuLi5VegWV0NBQLFiwAJaWlmjSpAnkcjni4uIQExOD7du3o1OnTqIjCvPVV1/B398frq6uinNz7949BAcHY%2B7cuXBzcxMd8Y3r3bs3wsPDlcbc3d25%2BgVVGBbLRBXEzs4ODg4OcHR0RKdOnap8gUyv5/r16wgICMDRo0dhYGAAFxcXfPLJJ6JjCTFkyBB88MEHGDRokNJ4SEgI9u3bhwMHDghKJp6jo2OpNzqKjIzExx9/jKNHjwpKJs7L10G88PKSg0SqqrqtC6IKdubMGRbIL/H39y/3viNHjqzEJG%2BH9u3bo3379liyZAkOHz6MwMBA0ZGEefDgAQYMGFBi3NnZGd7e3gISqY/k5GRYWlqWGG/VqhWSkpIEJBKP/%2B9SZWOxTKSCl9/%2B6969%2B7/ue/bs2TcRSW2U9y1QiUTCYvkl1apVw/DhwzF8%2BHDRUYSRSqWIjIxEhw4dlMZv3bqFOnXqCEqlHpo1a4aDBw%2BWmG4RHBysdLEoEVUcFstEKpg1a5bi6/nz5wtMon5OnDghOgK9pcaPH49p06Zh4MCBaNq0KSQSCWJjY/Hjjz/C3d1ddDyhPvroI0yZMgV79uxRrMcdFxeHBw8eYOPGjYLTEWkmFstEKnh5TuWTJ0/Qv3//Kn9jgNLk5%2BfDz88P3bt3V1ycFRwcjLi4OHh6elb5G02QMjc3N5iamiIoKEhxVzoLCwt4eXnByclJcDqxOnXqhLCwMBw%2BfBgPHz4EULzkYO/evavskoOFhYU4cOAAXr4Eq7QxvoNF/xUv8COqIEOGDEF0dDTatm0LJycnODo6QiqVio6lFpYtW4bbt29jzZo1aNasGYDit9Q/%2B%2BwzWFlZYfny5YITEr1dioqK8OTJE%2Bjr68PIyEh0HKHs7e1fuY9EIimxYgZRebFYJqpADx8%2BxPHjx/Hzzz8jMjISMpkMTk5OcHBwgImJieh4wnTt2hVHjx4tsaZyWloaBgwYgPPnzwtKRuqooKAAu3fvxunTp5GYmAh9fX2YmZmhb9%2B%2BGDp0KLS0tERHFCY5ORlLly7FuXPnUFBQAAAwMDBAnz59sGjRoir9/wxRZWGxTFRJnjx5grCwMPzwww%2B4ceMGbt68KTqSMNbW1jh%2B/HiJYjkpKQlOTk6IiIgQlIzU0bJly3DixAkMGDAA9evXB1D8QvTo0aNwdHTEkiVLBCcUZ%2BLEiSgoKMCECRPQoEEDyOVyPHz4EHv27IG%2Bvj6%2B%2B%2B470RGJNA7nLBNVgjt37iAsLAwnT55ETEwM7OzsREcSysHBATNmzMDkyZMVv%2BDj4uKwdetWODs7i45HaubYsWPYt2%2Bf4gK2F0aNGoXRo0dX6WL5%2BvXr%2BOWXX1CzZk3FWKtWrdClSxe8//774oIRaTAWy0QVJCIiAmFhYQgLC0NSUhJsbW0xduxY9OnTB4aGhqLjCbVkyRKsX78en3zyCTIzMwEARkZGGDJkCFcRoRL09fVLvVitfv360NXVFZBIfTRo0AA5OTlKxTIAPHv2DPXq1ROUikizcRoGUQVp06YNunXrBkdHRxbIL/nzzz9x5swZaGtro2fPntDT04NEIikxJYPohYCAAERGRmLOnDmKdZXT09OxceNGWFlZYdiwYYITvllxcXGKr2/cuIGDBw9izJgxaNq0KbS0tBAXF4e9e/fCzc0Njo6OApMSaSYWy0QVZPPmzfjwww9Fx1Arly5dgru7O8zMzFBYWIi0tDTs3LkTbdq0ER2N1Mw/pyplZmYiPz8fRkZG0NLSQkZGBnR1dSGVSnH8%2BHFBKcWwtLSERCLBq35dSyQS3L59%2Bw2lIqo6WCwTVZDu3bvj0KFDvBr9JWPHjkXv3r0xceJEAMC2bdtw5swZ7Ny5U2wwUjvBwcHl3nfw4MGVmET9vFhPuTy4zjtRxWOxTFRBdu7cifDwcDg5OaF%2B/frQ0VG%2BJKAqXuRnY2ODM2fOQF9fHwCQk5ODXr164dKlS4KT0dsoLi4OgYGBWLBggegoaiU7OxtHjhxBYGAgDhw4IDoOkcbhBX5EFeTzzz8HAPz6668ltlXVt0dzc3MVhTIAVK9eHc%2BfPxeYiN42OTk5CA0NRWBgIK5du4YOHTqIjqQ2Ll26hMDAQBw/fhzGxsZKdxQloorDYpmogkRHR4uOQKQxIiIiEBgYiJ9%2B%2BgnPnz/H2LFjsWbNGrzzzjuiowmVkJCAoKAgBAcHIzk5Gfn5%2BVi7di2cnJwgkUhExyPSSCyWiSpIXl7ev27X09N7Q0nUR2FhIQ4cOKB0YVJpYyNHjhQRj9RMUlISgoODERQUhKSkJPTr1w9%2Bfn6YPXs2Jk6cWOpyclXFi%2B76xYsX0aFDB7i7u8PR0RG9evWCTCZjoUxUiVgsE1WQtm3b/usvrKo4DUMqleKbb7751zGJRMJimQAA9vb2sLW1haenJ/r06YNq1aoBAAtBAPPmzYOTkxPCwsIUdzUkojeDxTJRBdm9e7fS94WFhXjw4AEOHTqEqVOnCkol1okTJ0RHoLdI69atceXKFRgbG6N27dro1q0bC%2BW/TJs2DSEhIRg9ejQGDhyIQYMGlbjDIRFVDq6GQVTJ4uPjsWDBAvj7%2B4uOQqT2YmNjcfDgQRw6dAhaWlpwdnaGv78/QkNDq3xHtaioCKdOncLBgwfxyy%2B/oEWLFoiJiUFAQABatmwpOh6RxmKxTFTJnj9/jq5du%2BLatWuioxC9NfLz8xEWFobAwECcP38ezZo1w7BhwzBw4EDUrl1bdDzhUlJSEBQUhMDAQDx8%2BBA9e/bE0KFDYW9vLzoakcZhsUxUQUrrHD9//hwnT55Eeno6QkJCBKQievs9fvwYgYGBCAoKQnJyMqKiokRHUiuXL19GQEAAwsLC%2BKKcqBKwWCaqIKV1dAwMDGBhYYE5c%2BbA0tJSQCoizSGXy3H%2B/Hl069ZNdBS1lJ2dDUNDQ9ExiDQOi2WiCvDw4UPo6upCKpUCABITE7F37148ffoUjo6OsLa2FpyQiIiI/gst0QGI3naXL1/GgAEDcPnyZQDF6y2PHz8ehw8fxsOHD%2BHu7o5Tp06JDUlERET/CZeOI1LRpk2bMH36dDg7OwMAjh8/jqSkJISFhaFOnTo4fPgwtm7divfff19sUCIiInpt7CwTqeju3bsYP3684vvTp0%2Bje/fuqFOnDgCgT58%2BVfKGJEQVKSMjQ3QEtZOXl1fig4gqHotlIhU9f/5ccacxAIiIiEDnzp0V3%2Bvr66OoqEhENKK30u3btzF8%2BHAAxRf1zZgxA507d%2BYSjADOnz8PZ2dntG7dGu3atSvxQUQVj9MwiFQklUoRGxuLZs2aITo6Go8fP0aXLl0U2//44w%2BuC0v0GlauXIl%2B/foBAI4dO4bLly9jz549uHnzJtauXYv9%2B/cLTijOsmXL0LlzZ3z00UdKL9KJqPKwWCZSkaOjIxYuXIgBAwYgODgYHTt2VNyGNjs7Gz4%2BPlzqiug13L17F3v37gUAhIWFwcXFBdbW1pDJZNi0aZPgdGI9efIEXl5e0NHhr2%2BiN4XTMIhU5OnpibZt2%2BLgwYNo3LgxfH19Fdt8fX0RExODmTNnCkxI9HbR09PD06dPkZubi7Nnz6JXr14AgNzcXFT11U5tbGwQHR0tOgZRlcJ1lokqUWJiIkxMTKCrqys6CtFbY%2BHChfj999%2BhpaWFrKws/PTTT8jPz8fKlSuRmJiIrVu3io4oTEBAAHbs2IFevXqhUaNG0NJS7nmNHDlSUDIizcVimYiI1MqzZ8%2Bwc%2BdOZGZmYvTo0TA3N8ezZ8/g6emJVatWoV69eqIjClPanUJfkEgkCA8Pf4NpiKoGFstERKS20tLSeIEsEQnFOctERKRWcnNzsWzZMrRv3x7du3cHAKSnp8Pd3R2pqamC04n3/PlzHD16FDt37lSMJSQkiAtEpOFYLBMRkVpZtWoV4uPjsXXrVsWcXF1dXRgaGsLb21twOrGio6PRs2dPrF%2B/Hj4%2BPgCAhw8fon///jh//rzgdESaidMwiIhIrXTu3BlHjx6FiYkJ2rVrhxs3bgAAMjMz4eDggAsXLghOKM6IESMwaNAgjBkzBm3btkVkZCQAIDQ0FNu2bUNgYKDghESah51lIiJSKxKJBDVq1CgxXlhYiNzcXAGJ1Mfdu3cVK15IJBLFuKOBJzldAAAUBElEQVSjI%2B7duycqFpFGY7FMRERqRSaT4YsvvsCzZ88UYw8fPsTixYthY2MjMJl4pqamePToUYnxqKgoGBoaCkhEpPl4CyAiIlIrS5cuhYeHB6ytrVFQUICOHTvi6dOnkMlkWL9%2Bveh4Qg0cOBBTp07FpEmTUFRUhLCwMERHR2Pv3r0YPXq06HhEGolzlomISC1FRUUhPj4e%2Bvr6sLCwQPPmzUVHEk4ul2PHjh0ICgrCgwcPYGBgAHNzc7i5uWHYsGFKUzOIqGKwWCYiIrVz9%2B5dtGjRAgAQHx%2BP8PBwNG7cWHHr66oqISGhSt%2BUhUgEFstERKRWdu3ahS1btuDcuXNITU2Fk5MTjI2NkZmZiYkTJ2LatGmiIwojk8lw5cqVEre5JqLKw39tRESkVnbv3o1t27YBAAIDAyGVShEaGorvv/8eBw4cEJxOLDc3N2zcuBFPnz4VHYWoyuAFfkREpFZSU1NhaWkJAPjll18wcOBAaGtro2nTpkhJSRGcTqyzZ88iKSkJW7ZsQc2aNaGjo1NiOxFVLBbLRESkVqRSKS5fvoxq1arh6tWr8PLyAgDcu3cPRkZGgtOJNWnSJNERiKocFstERKRWpk6digkTJkAul2Pw4MFo0qQJMjIyMGXKFAwdOlR0PKEGDx4sOgJRlcML/IiISO0kJCQgKytLsVycXC5HaGgoBgwYIDjZmzdu3LhyLwm3e/fuSk5DVPWws0xERGolLi4OAKCjo6P4GgBatWqFuLg4vPvuu6KiCdG%2BfXvF18%2BePUNISAg6duwIc3NzaGtrIyYmBpGRkbwpCVElYWeZiIjUiqWlJSQSCV78evpnV/X27dsiYqmF%2Bf/f3t3GVFk%2BcBz/3aJAaJZKoIRmKnZ0pKKE4UMUVipkZZH24pCPqWW1JmbZsrLZ34KkzLTChzQqzbkCH7ZKMEoUYaalNc2FkqnB8QnwAT3K4f%2BieRYjXGvJdXfO97Oxca7rfvEbb/hxcd3XlZame%2B%2B9VwkJCfXG8/LytH79er311luGkgG%2Bi7IMALCVw4cP1/vs8Xj066%2B/auXKlRozZozi4uIMJTOvb9%2B%2BKikpaXAKxoULFxQXF6edO3caSgb4LrZhAABs5frrr28w1rFjR/Xs2VNjxozRunXrDKSyh7CwMK1atUpOp7Pe%2BGeffabQ0FBDqQDfRlkGAPwnBAQE6NChQ6ZjGDVjxgxNmzZNCxcu9F57fellyDfeeMNwOsA3sQ0DAGArmZmZDcbOnTunoqIiXX311frkk08MpLKP6upqFRYWqqKiQm63W2FhYYqPj/eWZwD/LsoyAMBWUlNTG4wFBQWpc%2BfOmjBhgjp06GAgFQB/RVkGAMDGBg0a9Lef5bpr4N/HnmUAgO18%2B%2B232rhxo44cOaILFy6oU6dOuv/%2B%2BxUbG2s6WpObNm3a376UBMC/j5VlAICtZGdnKz09XXfccYf3ApIDBw6ooKBA8%2BbN01133WU4IQB/wsoyAMBWVq9erffff18DBgyoN15YWKiMjAy/K8upqanKzs6WJI0ePfqyq8yrVq1qqliA36AsAwBs5ciRI%2Brfv3%2BD8fj4eL88Ou7PfzQMHjzYYBLAP1GWAQC2EhkZqW%2B%2B%2BUaJiYn1xgsLCxUREWEolTmPPfaY9/snnnjCYBLAP1GWAQC28uSTT%2Bqpp57SgAED1LVrV0nS/v37tWXLFs2ZM8dwOrMqKiq0ZMkSHThwQG63u8H8hx9%2BaCAV4Nt4wQ8AYDt79%2B7VZ5995t120alTJw0fPly9e/c2nMwsp9OpyspKxcfHKzg4uMF8WlqagVSAb6MsAwDwHxETE6NNmzapTZs2pqMAfoNtGAAAW6mpqdH8%2BfP19ddfy%2BVyybIstW/fXomJiXryyScVFBRkOqIxN954ozwej%2BkYgF9hZRkAYCtTp05VWVmZHn74YUVERKiurk6HDh3S6tWr1a1bN7399tumIzapAwcOeL8vLS3VmjVr5HQ6FRER0eAYuUvnUgP491CWAQC20qdPH3311VcKCwurN15eXq6hQ4fqhx9%2BMJTMDIfDIcuy1Niv60tzlmVpz549TZwO8H1swwAA2EpoaKhCQkIajIeEhOi6664zkMis/Px80xEAv8bKMgDAVgoKCpSbm6uJEyeqc%2BfO8ng8OnjwoJYtW6a77rqr3vnLgYGBBpM2vcrKSl177bX1xn799VfdcMMNhhIBvo%2ByDACwlejoaF28eLHBftxLWw3%2BzF%2B2Hbjdbk2aNEmRkZENzppOTk5WVFSU3nzzzctehQ3gn6EsAwBspaSk5G8/GxcXdwWT2Mf8%2BfO1adMmZWVlKTw8vN7c8ePHNXbsWD300EN65JFHDCUEfBdlGQBga2VlZTp9%2BrQcDoeaN/fPV22GDx%2Bu//3vf4qJifnL%2Be3bt%2BuVV17R2rVrmzgZ4PuamQ4AAIAkVVdXa%2BLEicrLy/OOzZ49W8OHD1dKSopGjhypiooKgwnNKS8vV69evRqdj4mJ8d52CODfRVkGANhCenq6ampq5HA4JEm7du3SypUrlZ6erqKiIkVHRyszM9NwSjMCAwNVU1PT6HxVVZXfrroDVxplGQBgC1u2bNFrr72myMhISdJXX32lXr16acSIEWrTpo2efvppbd261XBKM/r166cVK1Y0Op%2BVlaW%2Bffs2YSLAf/BnKADAFiorK9WxY0fv5%2BLiYg0cOND7OTw8XFVVVSaiGTdlyhSlpqaqpqZGTqdT7du3l/THsXFLly5VTk6OPvroI8MpAd9EWQYA2ELLli1VVVWla665RtXV1dqzZ4%2BmTZvmna%2BurlbLli0NJjSnV69eWrBggV5%2B%2BWUtXbpUwcHB8ng8crvd6tixo957773L7mkG8M9RlgEAttC3b19lZWVpwoQJeuedd9S6dWvdcsst3vl169bppptuMpjQrNtuu015eXn68ccfvS/zde7cWT169OB8ZeAK4ug4AIAtlJaWasyYMTp%2B/LhatGihjIwMDR06VJK0fPlyZWZmauHChRo8eLDhpE1r/Pjx6t%2B/v/r376%2Bbb75ZAQEBpiMBfoWyDACwjTNnzuiXX35RZGSk2rVr5x3Pz89XSEiI4uPjDaYzY8OGDSouLlZxcbGOHj2qmJiYeuW5WTPe1QeuJMoyAMC4999/X3FxcerVqxcrp5fhcrm8xbm4uFjHjx9Xv379FBcXp/79%2B7NvGbgCKMsAAONefPFFlZSUyOVy1Vs5jY6OpjxfRnl5ubZt26bi4mKVlJQoPz/fdCTA51CWAQC2cWnltKSkRMXFxTp27Jj69u1brzz7%2B7aDffv2qXv37pKk3377Tfn5%2BerUqZMSExMNJwN8E2UZAGBbl1ZOL5XnyspKfffdd6ZjGbNixQplZWVpy5YtOnHihJKSkrxH7Y0bN06TJk0yHRHwOZRlAIDteDwe7wqyx%2BPR3r171aFDB9XU1CgiIsJwOnOGDBmihQsXyuFwaPHixVq3bp0%2B//xzlZWVafLkycrLyzMdEfA5/v2/LACA7RQVFSkhIUGS5Ha7NWrUKD3wwANKSEjQzz//bDidWSdOnJDD4ZAkffvttxoxYoQCAgLUtWtXHTt2zHA6wDdRlgEAtpKenq5nn31WkrR%2B/XqVl5dr06ZNSk9P14IFCwynMyssLEwlJSXavXu3duzYoSFDhkiS9u/fr9atWxtOB/gmbvADANhKWVmZ7rnnHknS119/rfvuu08RERGKiIjQ888/bzidWY8%2B%2BqjGjh2ruro6jRw5Ul26dFFVVZUmTpyoBx980HQ8wCdRlgEAttKyZUu5XC4FBQWpsLBQixcvliRVVlaqeXP//rWVkpKiQYMG6dSpU4qKipIktW7dWmlpaUpKSjKcDvBNbMMAANhKUlKSUlJSdP/996tLly6KjY3VmTNn9Mwzz2jQoEGm4xk1dOhQtW/f3luUJcmyLA0cOFADBgwwmAzwXf79JzoAwHaee%2B45RUdH69SpU0pOTpYktWjRQh06dND06dMNpzOjqKhIW7du1eHDh5WZmdlgvqysTG6320AywPdRlgEAttKsWTPde%2B%2B99cYCAwP1yiuvGEpk3jXXXKOzZ8%2BqtrZWO3fubDAfHBysOXPmGEgG%2BD7KMgDAVhwOhyzL%2Bss5y7IUHh6uhIQETZ8%2BXa1atWridGb07NlTPXv2lGVZeuGFF0zHAfwKl5IAAGxlw4YNmj9/vu6%2B%2B2716NFDlmXp559/1saNGzVp0iTV1tZq5cqVioqK0ty5c03HbXK7d%2B9WaWmpzp8/32Bu9OjRBhIBvo2yDACwldTUVE2fPl29e/euN/79999r0aJFysrKksvl0gMPPKDCwkJDKc149dVXlZ2drbZt2yo4OLjenGVZys/PN5QM8F1swwAA2Mru3bvVvXv3BuMOh0Pbt2%2BX9MdxaefOnWvqaMbl5ubqgw8%2BUHx8vOkogN/g6DgAgK106dJFM2fO1N69e3X69GnV1NSotLRUs2fP1g033KDa2lrNmjVLMTExpqM2ucDAQMXGxpqOAfgVtmEAAGzlt99%2BU1pamnbt2uV90a%2Burk5RUVHKyMiQw%2BHQ2LFjNWfOHEVGRhpO27SWLFmi2tpaTZ482XQUwG9QlgEAtuRyuVRRUaG6ujqFhoYqIiLCdCTjHn/8ce3YsUPNmzdXRESEmjWr/w/iVatWGUoG%2BC72LAMAbOfYsWM6ePCgd19ydXW19u/fL0l%2BfYvfpSPkADQdVpYBALayePFivfnmm/J4PA3mLMvSnj17DKQC4K8oywAAW4mPj9czzzyjpKSkBsej4Y9zqHNzc%2BVyuZSTkyO3263s7GyNHz%2B%2B0ctcAPxznIYBALAVj8ej%2B%2B67j6L8F1asWKH09HT16dPHuy2lurpaOTk5mj9/vuF0gG%2BiLAMAbGXkyJFav3696Ri2tGzZMi1ZskSPP/64dxU5NDRUixYtUm5uruF0gG/iBT8AgK1cvHhRr7/%2Buj766CNFRkY2OPFh3rx5hpKZd%2BrUKUVFRTUYDwsL04kTJwwkAnwfK8sAAFs5c%2BaMEhIS1K1bNwUHByswMLDelz/r3r27cnJyGowvW7ZMXbt2NZAI8H284AcAwH9EUVGRpk6dqu7du2vXrl1KSEjQvn37VFVVpUWLFikuLs50RMDnUJYBAMatWbNGKSkpkqRPP/200ecsy9KoUaOaKpYtlZeXa8OGDTp48KCCg4PVqVMnJScn69prrzUdDfBJlGUAgHHDhg3TF198IUlKTExs9DnLspSfn99UsWzn3Xff1WOPPWY6BuBXKMsAAPxHDB48WLm5uWrbtq3pKIDfoCwDAIwrLCz8W89ZlqWBAwde4TT2tXz5cuXn5yspKUkdOnRQ8%2Bb1D7Xy56vAgSuFsgwAMM7hcPyt5/z9uuvL/Zz8/WcDXCmUZQAAAKARXEoCALAdl8ulrVu3yuVyKTAwUO3bt9egQYPUqlUr09Fsye126%2B6771ZBQYHpKIDPoSwDAGzlyy%2B/VFpamlq1aqXw8HDV1dWpoqJCbrdbb731lhISEkxHNKaiokIZGRn66aef5Ha7vePV1dUcHQdcIWzDAADYytChQ%2BV0OuV0OmVZliTJ4/Fo5cqVys7O9h4x54%2BmTJmi8%2BfPKzExUa%2B//rpmzpypn376SaWlpVqwYIHCwsJMRwR8DmUZAGArMTExKikpUYsWLeqNX7x4Ubfccot27txpKJl5cXFxKigoUEhIiHr37q0ffvhBkpSTk6Pdu3dr1qxZhhMCvqeZ6QAAAPzZ7bffri1btjQY37Ztm19vwZCk5s2bKyAgQJIUFBSkqqoqSVJSUpLWrVtnMhrgs9izDAAwLjMz0/t9aGioZsyYod69e6tbt26yLEsHDhzQjh07NHr0aIMpzYuNjdXUqVP19ttvKzo6WnPnzpXT6dT333%2BvwMBA0/EAn8Q2DACAcampqX/rOcuy9OGHH17hNPZ18uRJZWRk6OWXX1ZZWZmmTJmiI0eOKCQkRLNnz9aIESNMRwR8DmUZAID/qLq6Oh07dkxt27b1bs8A8O%2BiLAMAjFuzZo1SUlIkSZ9%2B%2Bmmjz1mWpVGjRjVVLFs5dOiQNm/erICAACUkJCg8PNx0JMAvUJYBAMYNGzbMeyRcYmJio89ZlqX8/PymimUbxcXFmjx5ssLDw1VbW6uTJ09q%2BfLluvnmm01HA3weZRkAAJtzOp0aMmSIxo0bJ0launSpNm/erOXLl5sNBvgByjIAwDYOHz6swMBAXXfddZL%2BuPb6448/1unTpzV8%2BHDFxsYaTmhGXFycNm/erKCgIEnS2bNndccdd6i4uNhwMsD3cc4yAMAWSkpKlJyc7C2AbrdbTqdTa9eu1eHDhzVp0iQVFBSYDWnI%2BfPnvUVZkkJCQnTu3DmDiQD/wTnLAABbWLhwoaZMmaJ77rlHkrRx40YdPXpUeXl5ateundavX68lS5bo9ttvNxsUgF%2BhLAMAbGHfvn169913vZ%2B/%2BeYbDR48WO3atZMk3XnnnXrppZdMxTOqtrZWq1ev1p93Tv7VmL9f2gJcCZRlAIAtnDt3TldddZX38/bt2zVhwgTv56CgIHk8HhPRjAsLC9N777132THLsijLwBVAWQYA2EJYWJhKS0vVrVs37d27V7///rtuvfVW73xZWZnatGljMKE5mzZtMh0B8FuUZQCALQwbNkwzZsxQcnKyPv/8c/Xr109du3aVJJ0%2BfVpvvPGGBg4caDglAH9DWQYA2MITTzyhqqoqrVmzRl26dNGLL77onZs3b55%2B%2BeUXZWdnG0wIwB9xzjIAwPYqKirUtm1btWjRwnQUAH6GsgwAAAA0gktJAAAAgEZQlgEAAIBGUJYBAACARlCWAQAAgEZQlgEAAIBGUJYBAACARlCWAQAAgEb8H7QejHBMk80hAAAAAElFTkSuQmCC\" 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>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>Siblings/Spouses Aboard</th>\n",
       "      <th>Parents/Children Aboard</th>\n",
       "      <th>Fare</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Mr. Owen Harris Braund</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7.2500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Mrs. John Bradley (Florence Briggs Thayer) Cum...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>71.2833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Miss. Laina Heikkinen</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7.9250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Mrs. Jacques Heath (Lily May Peel) Futrelle</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>53.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Mr. William Henry Allen</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8.0500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "    </div>\n",
       "</div>\n",
       "</div>"
      ],
      "text/plain": [
       "<pandas_profiling.ProfileReport at 0x7f633fde32e8>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "report"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Missingno library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "import missingno as msno\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "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>uid</th>\n",
       "      <th>house_unit</th>\n",
       "      <th>person_number</th>\n",
       "      <th>area_code</th>\n",
       "      <th>state</th>\n",
       "      <th>age</th>\n",
       "      <th>citiz_status</th>\n",
       "      <th>worker_class</th>\n",
       "      <th>self_care_difc</th>\n",
       "      <th>hearing_difc</th>\n",
       "      <th>...</th>\n",
       "      <th>degree</th>\n",
       "      <th>industry</th>\n",
       "      <th>time_arr_wrk</th>\n",
       "      <th>time_dep_wrk</th>\n",
       "      <th>lang</th>\n",
       "      <th>place_of_birth</th>\n",
       "      <th>race</th>\n",
       "      <th>soc_code</th>\n",
       "      <th>has_insurance</th>\n",
       "      <th>moved_state</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>389879</td>\n",
       "      <td>959600</td>\n",
       "      <td>5</td>\n",
       "      <td>1905</td>\n",
       "      <td>california</td>\n",
       "      <td>13</td>\n",
       "      <td>born_in_the_us</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>hmong</td>\n",
       "      <td>california</td>\n",
       "      <td>asian_alone</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>140444</td>\n",
       "      <td>979547</td>\n",
       "      <td>2</td>\n",
       "      <td>800</td>\n",
       "      <td>arkansas</td>\n",
       "      <td>16</td>\n",
       "      <td>born_in_the_us</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>arkansas</td>\n",
       "      <td>white_alone</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>341082</td>\n",
       "      <td>761384</td>\n",
       "      <td>1</td>\n",
       "      <td>6510</td>\n",
       "      <td>california</td>\n",
       "      <td>63</td>\n",
       "      <td>born_in_the_us</td>\n",
       "      <td>emp_private</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fin</td>\n",
       "      <td>12.333333</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>california</td>\n",
       "      <td>white_alone</td>\n",
       "      <td>sal</td>\n",
       "      <td>no</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>617625</td>\n",
       "      <td>1180762</td>\n",
       "      <td>1</td>\n",
       "      <td>101</td>\n",
       "      <td>delaware</td>\n",
       "      <td>76</td>\n",
       "      <td>born_in_the_us</td>\n",
       "      <td>emp_private</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>mfg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>tennessee</td>\n",
       "      <td>black_or_african_ame</td>\n",
       "      <td>cln</td>\n",
       "      <td>no</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>881358</td>\n",
       "      <td>996647</td>\n",
       "      <td>4</td>\n",
       "      <td>3400</td>\n",
       "      <td>georgia</td>\n",
       "      <td>12</td>\n",
       "      <td>born_in_the_us</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>georgia</td>\n",
       "      <td>white_alone</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      uid  house_unit  person_number  area_code       state  age  \\\n",
       "0  389879      959600              5       1905  california   13   \n",
       "1  140444      979547              2        800    arkansas   16   \n",
       "2  341082      761384              1       6510  california   63   \n",
       "3  617625     1180762              1        101    delaware   76   \n",
       "4  881358      996647              4       3400     georgia   12   \n",
       "\n",
       "     citiz_status worker_class self_care_difc hearing_difc     ...       \\\n",
       "0  born_in_the_us          NaN             no           no     ...        \n",
       "1  born_in_the_us          NaN             no           no     ...        \n",
       "2  born_in_the_us  emp_private             no           no     ...        \n",
       "3  born_in_the_us  emp_private             no           no     ...        \n",
       "4  born_in_the_us          NaN             no           no     ...        \n",
       "\n",
       "  degree industry time_arr_wrk time_dep_wrk   lang  place_of_birth  \\\n",
       "0    NaN      NaN          NaN          NaN  hmong      california   \n",
       "1    NaN      NaN          NaN          NaN    NaN        arkansas   \n",
       "2    NaN      fin    12.333333          9.0    NaN      california   \n",
       "3    NaN      mfg          NaN          NaN    NaN       tennessee   \n",
       "4    NaN      NaN          NaN          NaN    NaN         georgia   \n",
       "\n",
       "                   race soc_code has_insurance  moved_state  \n",
       "0           asian_alone      NaN            no        False  \n",
       "1           white_alone      NaN            no        False  \n",
       "2           white_alone      sal            no        False  \n",
       "3  black_or_african_ame      cln            no         True  \n",
       "4           white_alone      NaN            no        False  \n",
       "\n",
       "[5 rows x 47 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/comsur_sample_proc.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Data completion display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f63453271d0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.matrix(df, figsize=(15, 5), fontsize=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Bar chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6345dd6668>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.bar(df, figsize=(15, 5), fontsize=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### How much presence of one variable correlates with presence of another variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6345e0de48>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.heatmap(df, figsize=(14, 6), fontsize=12)  # measures nullity correlation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Discover feature relationships"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Library developed by Ian\n",
    "\n",
    "Discovers \"feature relationships\" - which feature has predicting power\n",
    "\n",
    "https://github.com/ianozsvald/discover_feature_relationships (you need to clone this repo in the working directory to make the code work)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### How it works"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://github.com/ianozsvald/discover_feature_relationships/blob/master/discover.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "```python\n",
    "for col in cols:\n",
    "    if col in classifier_overrides:\n",
    "        est = RandomForestClassifier(n_estimators=50)\n",
    "    else:\n",
    "        est = RandomForestRegressor(n_estimators=50)\n",
    "    estimator_mapping[col] = est\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "```python\n",
    "if method==\"rf\":\n",
    "    # cross validation\n",
    "    scores = cross_val_score(est, df_X, df_y, cv=3)#, n_jobs=-1)\n",
    "    score = scores.mean()\n",
    "    #score = max(score, 0.0) # set negative r^2 to 0\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Let's try"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "import discover_feature_relationships.discover as disc\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>Siblings/Spouses Aboard</th>\n",
       "      <th>Parents/Children Aboard</th>\n",
       "      <th>Fare</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Mr. Owen Harris Braund</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7.2500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Mrs. John Bradley (Florence Briggs Thayer) Cum...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>71.2833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Miss. Laina Heikkinen</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7.9250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Mrs. Jacques Heath (Lily May Peel) Futrelle</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>53.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Mr. William Henry Allen</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8.0500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Survived  Pclass                                               Name  \\\n",
       "0         0       3                             Mr. Owen Harris Braund   \n",
       "1         1       1  Mrs. John Bradley (Florence Briggs Thayer) Cum...   \n",
       "2         1       3                              Miss. Laina Heikkinen   \n",
       "3         1       1        Mrs. Jacques Heath (Lily May Peel) Futrelle   \n",
       "4         0       3                            Mr. William Henry Allen   \n",
       "\n",
       "      Sex   Age  Siblings/Spouses Aboard  Parents/Children Aboard     Fare  \n",
       "0    male  22.0                        1                        0   7.2500  \n",
       "1  female  38.0                        1                        0  71.2833  \n",
       "2  female  26.0                        0                        0   7.9250  \n",
       "3  female  35.0                        1                        0  53.1000  \n",
       "4    male  35.0                        0                        0   8.0500  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(fname_titanic)\n",
    "df.head() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Discover the relationships"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>feature</th>\n",
       "      <th>score</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Fare</td>\n",
       "      <td>0.007164</td>\n",
       "      <td>Age</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Pclass</td>\n",
       "      <td>0.149957</td>\n",
       "      <td>Age</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Siblings/Spouses Aboard</td>\n",
       "      <td>0.108903</td>\n",
       "      <td>Age</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Survived</td>\n",
       "      <td>-0.001965</td>\n",
       "      <td>Age</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sex</td>\n",
       "      <td>-0.000839</td>\n",
       "      <td>Age</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   feature     score target\n",
       "0                     Fare  0.007164    Age\n",
       "1                   Pclass  0.149957    Age\n",
       "2  Siblings/Spouses Aboard  0.108903    Age\n",
       "3                 Survived -0.001965    Age\n",
       "4                      Sex -0.000839    Age"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cont_cols = ['Age', 'Fare', 'Pclass', 'Siblings/Spouses Aboard']\n",
    "cat_cols = ['Survived', 'Sex']\n",
    "\n",
    "df_results = disc.discover(df[cont_cols + cat_cols].sample(frac=1), \n",
    "                           classifier_overrides=cat_cols)\n",
    "df_results.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "sns.heatmap(df_results.pivot(index='target', columns='feature', values='score').fillna(1), \n",
    "            annot=True, ax=ax, cmap=\"viridis\");"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}