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<div class="container pandas-profiling">
<div class="row headerrow highlight">
<h1>Overview</h1>
</div>
<div class="row variablerow">
<div class="col-md-6 namecol">
<p class="h4">Dataset info</p>
<table class="stats" style="margin-left: 1em;">
<tbody>
<tr>
<th>Number of variables</th>
<td>10 </td>
</tr>
<tr>
<th>Number of observations</th>
<td>106 </td>
</tr>
<tr>
<th>Total Missing (%)</th>
<td>11.2% </td>
</tr>
<tr>
<th>Total size in memory</th>
<td>8.4 KiB </td>
</tr>
<tr>
<th>Average record size in memory</th>
<td>80.8 B </td>
</tr>
</tbody>
</table>
</div>
<div class="col-md-6 namecol">
<p class="h4">Variables types</p>
<table class="stats" style="margin-left: 1em;">
<tbody>
<tr>
<th>Numeric</th>
<td>5 </td>
</tr>
<tr>
<th>Categorical</th>
<td>3 </td>
</tr>
<tr>
<th>Boolean</th>
<td>0 </td>
</tr>
<tr>
<th>Date</th>
<td>1 </td>
</tr>
<tr>
<th>Text (Unique)</th>
<td>0 </td>
</tr>
<tr>
<th>Rejected</th>
<td>1 </td>
</tr>
<tr>
<th>Unsupported</th>
<td>0 </td>
</tr>
</tbody>
</table>
</div>
<div class="col-md-12" style="padding-left: 1em;">
<p class="h4">Warnings</p>
<ul class="list-unstyled"><li><a href="#pp_var_Date"><code>Date</code></a> has 7 / 6.6% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_Description"><code>Description</code></a> has 7 / 6.6% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_Description"><code>Description</code></a> has a high cardinality: 88 distinct values <span class="label label-warning">Warning</span></li><li><a href="#pp_var_Discipline"><code>Discipline</code></a> has 7 / 6.6% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_Number"><code>Number</code></a> is highly correlated with <a href="#pp_var_index"><code>index</code></a> (ρ = 1) <span class="label label-primary">Rejected</span></li><li><a href="#pp_var_Number of clients"><code>Number of clients</code></a> has 8 / 7.5% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_Pay"><code>Pay</code></a> has 7 / 6.6% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_Time"><code>Time</code></a> has 10 / 9.4% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_Time"><code>Time</code></a> has 2 / 1.9% zeros <span class="label label-info">Zeros</span></li><li><a href="#pp_var_Tip"><code>Tip</code></a> has 66 / 62.3% missing values <span class="label label-default">Missing</span></li><li><a href="#pp_var_Tip"><code>Tip</code></a> has 20 / 18.9% zeros <span class="label label-info">Zeros</span></li><li><a href="#pp_var_Worked For"><code>Worked For</code></a> has 7 / 6.6% missing values <span class="label label-default">Missing</span></li> </ul>
</div>
</div>
<div class="row headerrow highlight">
<h1>Variables</h1>
</div>
<div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4 pp-anchor" id="pp_var_Date">Date<br/>
<small>Date</small>
</p>
</div><div class="col-md-6">
<div class="row">
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Distinct count</th>
<td>100</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>94.3%</td>
</tr>
<tr class="alert">
<th>Missing (%)</th>
<td>6.6%</td>
</tr>
<tr class="alert">
<th>Missing (n)</th>
<td>7</td>
</tr>
<tr class="ignore">
<th>Infinite (%)</th>
<td>0.0%</td>
</tr>
<tr class="ignore">
<th>Infinite (n)</th>
<td>0</td>
</tr>
</table>
</div>
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Minimum</th>
<td>2019-01-06 00:00:00</td>
</tr>
<tr>
<th>Maximum</th>
<td>2019-10-25 00:00:00</td>
</tr>
</table>
</div>
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bL8Evxb///W9169ZNCQkJRWMzZ85Uz5499csvv7iYDAAA4ATrCtYzzzyjrl27asyYMUVjn376qa677jrNmDHDxWQAAAAnWFewfv75Z/3zn/9UUFBQ0VhAQID%2B%2Bc9/6scff3QxGQAAwAnWFawqVaooKSmpxPj%2B/fuN/AUgAADA2bKuYHXr1k0TJ07UN998o4yMDB07dkzr1q3T5MmT1aVLF7fjAQAA2PdXhA899JD27t2ru%2B%2B%2BW35%2BfkXjXbp0UVxcnIvJAAAATrCuYAUHB2vhwoXavXu3duzYocDAQNWrV8/IO7ADAACYYF3BKlSnTh3VqVPH7RgAAAAlWFewdu/ercmTJ%2Bv7779Xbm5uidu3bdvmQioAAID/z7qCNXHiRCUnJ2vs2LGqWrWq23EAAABKsK5gbdq0Sa%2B//rpatGjhdhQAAIBSWfc2DeHh4QoNDXU7BgAAwClZV7AGDBigZ599VkePHnU7CgAAQKmsu0S4du1a/fjjj4qKilL16tW9/pc5krR69WqXkgEAAJxgXcGKiopSVFSU2zEAAABOybqCNWrUKLcjAAAAnJZ1r8GSpO3bt2vcuHHq37%2B/Dhw4oDfffFPfffed27EAAAAkWViwtm7dqn79%2Bun333/X1q1blZOTo23btunuu%2B/WmjVr3I4HAABgX8GaNWuW7r77bi1ZskSBgYGSpClTpmjgwIGKj493OR0AAICFBWvr1q269dZbS4zffvvt2rVrlwuJAAAAvFlXsAIDA5WRkVFiPDk5WcHBwS4kAgAA8GZdwercubNmz56tQ4cOFY0lJiZq6tSp%2Btvf/uZeMAAAgP9jXcF65JFHlJWVpQ4dOigzM1O9e/dWjx495PF4FBcX53Y8AAAA%2B94Hq0qVKnrrrbf07bff6t///rcKCgrUsGFDXXvttfL3t64vAgCAC5B1BatQ%2B/bt1b59e7djAAAAlGBdwYqOjpafn98pb%2Bf/RQgAANxmXcG67bbbvApWbm6u9uzZoy%2B%2B%2BEIPPPCAi8kAAABOsK5g3XfffaWOL126VN9//70GDhx4nhMBAAB4u2BeFX7DDTdo7dq1Rub6%2Beefdeedd6p169bq1KmTpkyZopycHCNzAwCAC98FU7DWr1%2BvSpUqnfU8BQUFGjFihLp166b169fr3Xff1VdffaWXX37ZQEoAAHAxsO4SYfFLgI7jKCMjQzt27DByefDIkSNKTU1VQUGBHMeRJPn7%2B/Mu8QAAoMysK1g1a9Ys8VeEgYGBGjRokHr27HnW84eHh2vw4MF6%2Bumn9cwzzyg/P1833nijBg8efNZzAwCAi4N1BWvGjBnndP6CggJVrlxZ48ePV9%2B%2BfbVnzx6NGjVK8%2BbNK/NfKaakpCg1NdVrzOMJUURERLmyBAT4e320ic3ZC3k8vpvdxvW1MTNgu1Mdx2z%2BebQlu3UFa8OGDWW%2Bb5s2bco9/yeffKJVq1bpo48%2BkiQ1aNBAsbGxmjp1apkLVkJCguLj473GYmNjNXr06HLnkaSwMHsvT9qcPTw81O0IZ2Tj%2BtqYGbDVmY5jNv88%2Bnp26wrW4MGD5ThO0b9ChZcNC8f8/Py0bdu2cs%2B/b9%2B%2BEn8x6PF4FBgYWOY5YmJiFB0dXWyOEB06dKxcWQIC/BUWFqz09Ezl5xeUa1u32Zy9UHm/X%2BeTjet7cmYA58epjmM2HkMKlTe7W78sW1ew5s%2Bfr%2BnTp%2BuRRx5Ru3btFBgYqM2bN2vixIm64447dMMNN5zV/J06ddLs2bP14osvavjw4UpOTtaCBQvK9fquiIiIEpcDU1OPKi%2BvYjtxfn5Bhbd1m83Zbcht4/radjAHbHam44ONx5BCvp7dty9gluLpp5/Wk08%2Bqc6dO6tKlSqqVKmS2rZtq8mTJ%2BvVV1/VlVdeWfSvIurXr6%2BFCxfqs88%2BU1RUlAYOHKjo6GiNGTPG8FcCAAAuVNadwUpJSdEVV1xRYrxKlSo6dOiQkcfo0KGDOnToYGQuAABw8bHuDFbz5s317LPPKiMjo2js8OHDmjlzptq3b%2B9iMgAAgBOsO4P1xBNPaNCgQbruuutUu3ZtSdLu3bt12WWX6Y033nA3HAAAgCwsWPXq1dPKlSu1YsUKJSYmSpLuuOMO3XzzzbzbOgAA8AnWFSxJCgsLU79%2B/fT777%2BrVq1aklSut1EAAAA4l6x7DZbjOJo1a5batGmjHj16aP/%2B/XrkkUc0btw45ebmuh0PAADAvoK1ZMkSvffee3ryyScVFBQkSercubM%2B%2B%2BwzzZ071%2BV0AAAAFhashIQETZgwQb179y569/a///3vmjp1qj744AOX0wEAAFhYsH7//Xc1bty4xHijRo30xx9/uJAIAADAm3UF68orr9RPP/1UYnzt2rVFL3gHAABwk3V/RTh06FBNmjRJBw4ckOM4%2Bvbbb/XWW29pyZIlGjdunNvxAAAA7CtYffr0UV5enhYsWKCsrCxNmDBB1atX15gxY3T77be7HQ8AAMC%2BgvW///u/uummmxQTE6O0tDQ5jqPq1au7HQsAAKCIda/BmjJlStGL2atVq0a5AgAAPse6glW7dm3t2LHD7RgAAACnZN0lwgYNGmjs2LFatGiRateurUqVKnndPn36dJeSuaP7c1%2B7HQEAABRjXcFKSkpSq1atJEmpqakupwEAACjJioI1ffp03X///QoJCdGSJUvcjgMAAHBaVrwG64033lBmZqbX2NChQ5WSkuJSIgAAgFOzomA5jlNi7IcfflB2drYLaQAAAE7PioIFAABgEwoWAACAYdYULD8/P7cjAAAAlIkVf0UonXgH95Pf8yo3N1czZ85UaGio1/0utvfBAgAAvseKgtWmTZsS73nVokULHTp0SIcOHXIpFQAAQOmsKFi89xUAALCJNa/BAgAAsAUFCwAAwDAKFgAAgGEUrFIcPnxYcXFxioqKUps2bTRy5Ej%2BtzwAAKDMKFiluO%2B%2B%2B3T8%2BHF98sknWrNmjQICAjR%2B/Hi3YwEAAEtY8VeE59PWrVu1efNmffPNN6pSpYok6amnnirxNhEAAACnwhmsYn766SfVr19fb7/9trp06aJOnTrp6aef1mWXXeZ2NAAAYAnOYBVz5MgR7dixQ02bNtXy5cuVlZWluLg4PfLII1q4cGGZ5khJSSlxxsvjCVFERES5sgQE%2BHt9xPnl8fjuutu4b9iYGbDdqY5jNv882pKdglVMUFCQJOnxxx9XpUqVVKVKFT3wwAP6xz/%2BoWPHjpX4X/OUJiEhQfHx8V5jsbGxGj16dIUyhYUFV2g7nJ3w8DN/r91m475hY2bAVl1mfel2hDLbOPWmct3f148lFKxi6tevr4KCAuXm5hb9vw8LCgokSY7jlGmOmJgYRUdHe415PCE6dOhYubIEBPgrLCxY6emZys8vKNe2OHvl/X6dTzbuGydnBoDiynrMLe/xz61flilYxXTo0EG1atXSY489punTpys7O1tz5sxR586di170fiYRERElLgemph5VXl7Fngjz8wsqvC0qzoY1t3HfsKUQAji/ynss8/Xjn29fwHRBYGCglixZooCAAHXr1k3dunVTjRo1NG3aNLejAQAAS3AGqxSXX3655syZ43YMAABgKc5gAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDPG4HAHxV9%2Be%2BdjtCuXz4QEe3IwAA/g9nsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMArWaeTn52vAgAF69NFH3Y4CAAAsQsE6jfj4eG3cuNHtGAAAwDIUrFP49ttv9fHHH6tr165uRwEAAJahYJXi4MGDevzxxzV79mwFBwe7HQcAAFjG43YAX1NQUKCHH35YQ4YMUWRkZIXmSElJUWpqqteYxxOiiIiIcs0TEODv9RE4HY/Ht/cT9mcAp1PWY5gtxxIKVjELFy5UUFCQBgwYUOE5EhISFB8f7zUWGxur0aNHV2i%2BsDDOouHMusz60u0IAFBh4eGh5bq/rz83%2BjmO47gdwpfcdNNNSklJkb//iWaclZUlSapcuXKZX/Bu8gxWWFiw0tMzlZ9fUOp9eFIFAFwIPhl7bZnuV5bnxpOVt7iZwhmsYj766COvzwvfomHGjBllniMiIqJEmUpNPaq8vDPvCKXJzy%2Bo8LYAANigvM9zvv7c6NsXMAEAACzEGawzKM%2BZKwAAAIkzWAAAAMZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMglWK7du3a8iQIWrbtq06duyouLg4paWluR0LAABYgoJVTFZWloYNG6YWLVroq6%2B%2B0vvvv6/Dhw/rscceczsaAACwBAWrmOTkZEVGRio2NlZBQUEKDw9XTEyMNmzY4HY0AABgCY/bAXxN3bp1tWjRIq%2BxVatWqUmTJi4lAgAAtqFgnYbjOHruuee0Zs0aLV26tMzbpaSkKDU11WvM4wlRREREuR4/IMDf6yMAABcqj6dsz3W2PDdSsE4hIyND48aN088//6ylS5eqUaNGZd42ISFB8fHxXmOxsbEaPXp0hbKEhQVXaDsAAGwRHh5arvv7%2BnMjBasUSUlJGj58uGrWrKl3331X1apVK9f2MTExio6O9hrzeEJ06NCxcs0TEOCvsLBgpadnKj%2B/oFzbAgBgk7I%2BR5b3ubG8xc0UClYxR44c0aBBg9SuXTtNnTpV/v7lPwUZERFR4nJgaupR5eVVrCTl5xdUeFsAAGxQ3uc5X39upGAVs2zZMiUnJ%2BvDDz/URx995HXbpk2bXEoFAABsQsEqZsiQIRoyZIjbMQAAgMV8%2ByX4AAAAFqJgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFqxQHDx7UyJEj1bp1a0VFRWnq1KnKy8tzOxYAALAEBasUDzzwgEJCQvTll1/q3Xff1bfffqvXXnvN7VgAAMASFKxi9uzZo/Xr1%2Bvhhx9WcHCwatWqpZEjR%2BrNN990OxoAALAEBauYX3/9VZdeeqkuv/zyorF69eopOTlZ6enpLiYDAAC28LgdwNccO3ZMwcHBXmOFnx8/flxhYWFnnCMlJUWpqaleYx5PiCIiIsqVJSDA3%2BsjAAAXKo%2BnbM91tjw3UrCKCQkJUWZmptdY4eehoaFlmiMhIUHx8fFeY6NGjdJ9991XriwpKSl6/fVFiomJOWU52zj1pnLNeb6kpKQoISHhtNl9gS05i7Mxt42ZJTtz25hZIvf5ZGPmQmV5bvQFvl3/XNCgQQMdPnxYf/zxR9FYYmKiatSooapVq5ZpjpiYGC1btszrX0xMTLmzpKamKj4%2BvsTZMBvYkt2WnMXZmNvGzJKduW3MLJH7fLIxcyFbsnMGq5jatWurVatWmjZtmiZPnqxDhw7phRdeUN%2B%2Bfcs8R0REhE%2B3agAAcG5xBqsU8%2BbNU15enm688Ub94x//0LXXXquRI0e6HQsAAFiCM1il%2BNOf/qR58%2Ba5HQMAAFgqYOLEiRPdDoFTCw0NVdu2bcv8AntfYkt2W3IWZ2NuGzNLdua2MbNE7vPJxsyFbMju5ziO43YIAACACwmvwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsE6S9u3b9eQIUPUtm1bdezYUXFxcUpLS5Mkbd68Wf369VOLFi0UHR2td955p9Q5Fi9erAEDBpyXvEePHtUTTzyh9u3bq3Xr1rr22mvVpk0bo9lPfoyoqCiNGzdO6enpp821du1a9ezZU82bN1f37t21Zs0aSSfWd9CgQWrWrJkaN26sJk3Bf8EUAAAP3ElEQVSa6LbbbtO6det8JqMkHTlyRGPHjlVUVJRatmypQYMGaeXKledk3zCd/WTz5s1To0aNfD5zQUGBWrRooebNm6t58%2Ba66qqr1KhRI0VFRWnq1KnKy8s77dznwoEDBzR69GhFRUWpU6dOmj59urKzs0%2B7zfLly9WlSxc1b95cvXv31qZNm4puKygoUHx8vK6//nq1aNFC/fr187rdLa%2B%2B%2Bqquvvpqn99HijvVsfq///u/9be//U2NGzdWZGSkoqKizir3Pffco5iYGLVu3VqdOnXSlClTlJOTU%2BbcOTk5mjlzpq677jq1bNmy6Fjt9loXWrVqlW688cYS4y%2B//LKioqIUGRmpxo0b69prr1WvXr1K3U/uv/9%2BtWvXzmeyF5o0aZIef/zxMs1VJg4qLDMz0%2BnYsaMzd%2B5cJzs720lLS3OGDx/ujBgxwjl8%2BLDTtm1bZ%2BnSpU5ubq7zzTffOC1atHA2b95ctP2xY8ec6dOnOw0bNnTuuuuu85I5NjbW6du3r7N7926nQ4cOzs033%2BzccccdRrMXPkZycrKTkZHhPPjgg6f9%2Bnbv3u00a9bM%2BeSTT5zc3Fzngw8%2BcK6%2B%2Bmpnz549TseOHZ2%2Bffs6t956q7Nt2zZn2LBhTs%2BePZ2rr77aad26tesZ9%2B/f7ziO44waNcoZMWKEc%2BTIEScnJ8eZMWOGExkZeU72DdPZC23ZssVp1KiR07BhQ5/PvGPHDqdJkyZOdna2c9dddzkPPfSQc/z4cScpKcm5%2BeabnZdffvmUc58L%2Bfn5Tu/evZ0RI0Y4aWlpzsGDB52BAwc6jz766Cm3WbdundOiRQtn48aNTk5OjrN48WInKirKOX78uOM4jjN//nynW7duzq5du5y8vDxn4cKFTtu2bZ3s7Ozz9WV5ycnJcZ5//nmnYcOGTqtWrXx%2BHznZqY7VvXv3dlq1auW0bNnSWbJkibNhwwanefPmTrNmzSqUOz093WnWrJnTpUsXJz8/39m3b5/TrVs3Jz4%2Bvsy5p02b5nTu3NnZsmWL07FjRycmJsbp2rWrc%2BDAAdfW2nFOfP9feukl56qrrnJuuOEGr9uWLVvmdOjQwWnSpImzcuVKZ9KkSU5kZKTTuHFjZ%2B/evUXrPWTIEOe%2B%2B%2B5zGjZs6PTr188nsjuO4xw8eNAZM2aM07BhQ%2Bexxx477VzlwRmss5CcnKzIyEjFxsYqKChI4eHhiomJ0YYNG/Txxx/r0ksv1Z133imPx6P27durZ8%2BeevPNN4u279Wrl1JTU3X77befl7yZmZlavXq14uLiVFBQoMaNG%2BuVV17Rxo0blZaWZiT7yY9xxRVXKDQ0VOPGjdP69euVmJhYaq7ly5erdevW6ty5szwej/7%2B97%2BrTZs2Wrx4sSIjI9WoUSM98MADioyMVP/%2B/fWf//xHfn5%2BqlSpkusZExISJEnPPvus5s6dq7CwMB0/flz79%2B9XSEiI8X3jXGQvnPehhx7Sn//8Z0ny%2BcxbtmxRo0aNtG/fPq1fv14PP/ywgoODVatWLY0cOdIr1/mwe/dubd26VRMmTFB4eLiqVaumBx98UCtWrNDRo0dL3eadd97RzTffrFatWikwMFCDBw9WeHi4Vq5cqfz8fL3%2B%2BusaP3686tSpo4CAAA0dOlSLFi06r1/Xye6%2B%2B2599dVXqlWrlqpWrerz%2B8jJTnWs/vXXX9WuXTv96U9/0l133VV0puivf/1rhXLn5eUpOztbe/bs0c6dOyVJ/v7%2BCg4OLnPu999/X7GxsQoJCVFkZKTeeOMNpaSkaNu2ba6tdeH3/7vvvtPw4cNL3Pb222%2Brbt26atu2rbp3767%2B/fvLz89PjRs31rJlyxQeHq5bb71VX3/9tQ4fPqyQkBDVrVvXJ7IfPXpU3bt3V7Vq1dS5c%2BdTzlERFKyzULduXS1atEgBAQFFY6tWrVKTJk3066%2B/qmHDhl73r1%2B/vrZv3170%2BZIlSzR79mxVr179vOQtKCiQ4zgKDg4uyh4YGChJ2rVrl5HsJz9GIX9//6LHKM3OnTtLfbwDBw5o0aJFmjJliq6//npJJ9a3Vq1ayszMVKNGjVzPWPh4gYGBqlSpkubMmaOoqCh98cUXWrhwofF941xkl6TJkyera9eumjp1qtf9fDXzli1blJ2drWHDhsnPz08PPvigfvjhB0lSvXr1lJycXObLBiYUFBRIktfX6Ofnp9zcXO3du7fUbU73Nf72229KT09Xenq6evfuraioKA0bNkyVKlVSUFDQuftCTmPmzJn6r//6L40cOVJ%2Bfn5F4766j5zsVMfq5s2bq2bNmkXzHDx4UBs2bFBkZGSFcoeHh6t///6STpSE66%2B/XrVr19bgwYPLnDs/P9/rGO3xeCSdKPFurbV04vu/aNEi/eUvfylx286dO5WdnV2UqWHDhoqMjFRISEhRpjVr1qhly5aKjIzUpZde6jPZK1eurJUrV%2BqJJ57wmtcECpYhjuNozpw5WrNmjR5//HEdO3asxDercuXKOn78eNHnNWrUOK8ZQ0ND1bFjR82ZM0epqanKyMjQM888I39/fy1fvtxI9lM9RkBAgLKyskrdpiyPV7i%2Bn376qX7//XddddVVJX743M4oSffee69%2B%2BuknjRo1SsOHD9fevXuN7hvnIvt7772nxMRE3X///UW3%2B3rmypUr6%2Bqrr9bAgQN1%2BeWXKzo6WkOHDtXevXuLtiv%2BvTmX6tatqwYNGmj69OlKT09XWlqa4uPjJalCX%2BPhw4clnXiimT9/vtauXasmTZpo6NChpzwjdq4V//76%2Bj5yKqfKnZqaquHDh6tp06Zq3bp1hXIfPXpUP/zwg/z8/DRt2jS9//77SkxM1Lx588qcu2vXrnrxxReVlJSk7OxszZ07V1lZWVq9erVra326%2BQq/ptzcXK9MlStXLrptzpw5%2BvzzzzVx4kQdO3bMq%2Bi6nT0wMPCcneSgYBmQkZGh0aNHa8WKFVq6dKkaNWqk4ODgEt/wrKwshYaGupTyhJkzZyo8PFy9evVSnz59FBkZqYCAAP3444/Gshd/jObNm6tq1aoKCwvTiy%2B%2BqBYtWhT927hx4xkfr3B933rrLeXn5ys2NlatWrXyqYyFKleurKCgIA0ZMkRXXHGFVq5caXzfMJl9165dmj17tmbPnl30m7Ikn84sSY8%2B%2BqimTZumGjVqKCsrS0OHDlXNmjW1du1aZWZmStJ5/VkLCAjQggULlJ6erq5du2rQoEG66aabJEmXXHKJJkyY4PU1Jicnn/ZrLDxLNWrUKF155ZWqXLmyHnzwQWVkZBSdqXNTQUGBz%2B8jpTnVsXr//v3q27ev6tSpowULFignJ6dCubt3766DBw/qkksuUbVq1bR69WolJydrwYIF5dq3W7RooTvvvFM33XSTHMdRaGioduzY4dpaF3f06FGv%2BwQFBcnj8XhlysrKUn5%2BvhITE0usd35%2BvmvZzyfPme%2BC00lKStLw4cNVs2ZNvfvuu6pWrZqkE6dIv/76a6/77ty5Uw0aNHAjZpHU1FSNHz9el1xyiZKSkjR48GDl5uZq6dKlqlu3rqSzz37yY0hSYmKijhw5oqZNm%2Br666/XPffc43X/L7/8Uj///HOJx2vatGnR%2BmZmZspxHC1YsEAdOnTQ22%2B/7TMZJal///4aPHhw0ZOqdOIMyhtvvKGGDRsa3TdMZl%2B1apXS09N12223SZJyc3MlSatXr9aECROKLsP6UmZJmjNnjrp166YGDRro8OHD%2BuOPP5STk6NKlSopMTFRNWrUUNWqVcuUzQTHcXTkyBE999xzRb%2B5r127VqGhofrrX/%2BqyZMna/LkyV7bNGjQQL/%2B%2BqvX2M6dO3XdddepTp068ng8Xn995jhO0T83HTx4sOjsga/u16U51bH66NGjWr9%2BveLi4nT33XefVe7XXntNr7zyitLS0opy/%2BUvf9G0adP01VdflSn3gQMHdO%2B992rChAlKSkrS0KFDlZGRoUWLFrn281hc1apV9dlnnxV93r9/fwUFBRXtz7m5udq1a5fy8/MVERGhd955x2s/Wb58uWvZzyfOYJ2FI0eOaNCgQWrZsqVeeeWVoh1Ikrp06aI//vhDr732mnJzc7Vu3TqtWLFCffr0cTHxifY/Y8YMpaam6q677lJOTo569epVVK6ks89e%2BBg5OTk6cOCAJk2apJtvvvmUp2FvueUWrV%2B/XitXrlReXp5Wrlyp9evXKzo6WoMGDVJAQID8/Py0fPlydejQwacy9urVS5J09dVXa/78%2BfrPf/6jnJwcPfPMMzpw4IDatWtnfN8wmf3ee%2B/Vjz/%2BqI0bN2r16tVFv0Vu3bq16LUkvpZZkn755RdNnTpVoaGhatmypQYPHqyjR4%2BqSZMmeuGFF9S3b98y5TLFz89PcXFxeumll1RQUKDffvtNs2bN0oABA7zODJ6sb9%2B%2BWrFihdatW6fc3Fy99tprOnjwoLp06aIqVaqoR48emj59un7//Xfl5ORo1qxZCgsLU7t27c7r13ayI0eOaNGiRQoKCvLp/bq03KUdq1etWqX3339fwcHB8vf3P%2BvcjRs3Vmpqqho1aqRLL71Ue/fu1YIFC9SzZ88y537ttdf06KOPat%2B%2BfRowYIAKCgrUvHlzderUybW1PpM%2Bffpo586dWrdund577z1NmTJF2dnZysvL00svvVRiP8nOztbOnTt9Ivu55Oe4/euQxRYvXqwZM2YoODjY60WfkrRp0yZt2bJFU6dO1S%2B//KJq1app5MiR6t27d4l55s%2Bfr/Xr12vJkiXnPPP%2B/fs1YcIErVu3TtnZ2QoICFBQUJBX/rPNXvgYP/zwgwIDA9W9e3fFxcUV/WZfmi%2B//FKzZs1SUlKSrrzySj388MPatWuXZsyYUer9Q0JCNGzYMH355ZeuZix88X1OTo7mzJmjFStWKDc3V9WrV1diYuI52TdMZy9UuD8Xrq8vZz58%2BLCefvpprV27VsePH1dwcLByc3MVGBioW2%2B9VWPHji3xOo9z7ZdfftGkSZO0bds2ValSRX379tWoUaOKXoRbmvfee08LFizQgQMHVL9%2BfT3xxBO65pprJJ3Yp%2BbPn68PPvhAhw4dUtOmTTVhwgRXz4IX7iN%2Bfn4lXgPka/tIabmL/zxmZmbKz89PgYGBys3NVUFBgfz8/NSmTZtSj8dlyd28eXOlpqbqt99%2BU9WqVXXLLbcU/fViWXJnZGToySef1KeffqqsrCyfOUYXWrZsmeLj473OYDmOo8WLFxedvSs801p46fBkmzZt0ogRI/TTTz8pOzvb9ewnGzt2rCpVqlTij30qioIFAABgGJcIAQAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADD/h%2B6ZNaHBfw0HAAAAABJRU5ErkJggg%3D%3D">
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4 pp-anchor" id="pp_var_Description">Description<br/>
<small>Categorical</small>
</p>
</div><div class="col-md-3">
<table class="stats ">
<tr class="alert">
<th>Distinct count</th>
<td>88</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>83.0%</td>
</tr>
<tr class="alert">
<th>Missing (%)</th>
<td>6.6%</td>
</tr>
<tr class="alert">
<th>Missing (n)</th>
<td>7</td>
</tr>
</table>
</div>
<div class="col-md-6 collapse in" id="minifreqtable3328645770681317740">
<table class="mini freq">
<tr class="">
<th>Haute Route</th>
<td>
<div class="bar" style="width:7%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 5.7%">
</div>
6
</td>
</tr><tr class="">
<th>Learn to lead sport</th>
<td>
<div class="bar" style="width:4%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 2.8%">
</div>
3
</td>
</tr><tr class="">
<th>Cancellation</th>
<td>
<div class="bar" style="width:4%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 2.8%">
</div>
3
</td>
</tr><tr class="other">
<th>Other values (84)</th>
<td>
<div class="bar" style="width:100%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 82.1%">
87
</div>
</td>
</tr><tr class="missing">
<th>(Missing)</th>
<td>
<div class="bar" style="width:8%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 6.6%">
</div>
7
</td>
</tr>
</table>
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#freqtable3328645770681317740, #minifreqtable3328645770681317740"
aria-expanded="true" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="col-md-12 extrapadding collapse" id="freqtable3328645770681317740">
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">Haute Route</td>
<td class="number">6</td>
<td class="number">5.7%</td>
<td>
<div class="bar" style="width:8%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Learn to lead sport</td>
<td class="number">3</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:4%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Cancellation</td>
<td class="number">3</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:4%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Climb in squamish</td>
<td class="number">2</td>
<td class="number">1.9%</td>
<td>
<div class="bar" style="width:3%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Shucksan White Salmon</td>
<td class="number">2</td>
<td class="number">1.9%</td>
<td>
<div class="bar" style="width:3%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">LTLT course RR</td>
<td class="number">2</td>
<td class="number">1.9%</td>
<td>
<div class="bar" style="width:3%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Keiths Hut - Vantage</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:2%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Whistler Blackcomb</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:2%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Drove to fox</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:2%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">West Ridge Cragging</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:2%"> </div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (77)</td>
<td class="number">77</td>
<td class="number">72.6%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">7</td>
<td class="number">6.6%</td>
<td>
<div class="bar" style="width:10%"> </div>
</td>
</tr>
</table>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4 pp-anchor" id="pp_var_Discipline">Discipline<br/>
<small>Categorical</small>
</p>
</div><div class="col-md-3">
<table class="stats ">
<tr class="">
<th>Distinct count</th>
<td>9</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>8.5%</td>
</tr>
<tr class="alert">
<th>Missing (%)</th>
<td>6.6%</td>
</tr>
<tr class="alert">
<th>Missing (n)</th>
<td>7</td>
</tr>
</table>
</div>
<div class="col-md-6 collapse in" id="minifreqtable7323928257887695404">
<table class="mini freq">
<tr class="">
<th>Rock Climbing</th>
<td>
<div class="bar" style="width:100%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 31.1%">
33
</div>
</td>
</tr><tr class="">
<th>Alpine</th>
<td>
<div class="bar" style="width:100%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 31.1%">
33
</div>
</td>
</tr><tr class="">
<th>Ski Touring</th>
<td>
<div class="bar" style="width:52%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 16.0%">
17
</div>
</td>
</tr><tr class="other">
<th>Other values (5)</th>
<td>
<div class="bar" style="width:49%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 15.1%">
16
</div>
</td>
</tr><tr class="missing">
<th>(Missing)</th>
<td>
<div class="bar" style="width:22%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 6.6%">
7
</div>
</td>
</tr>
</table>
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#freqtable7323928257887695404, #minifreqtable7323928257887695404"
aria-expanded="true" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="col-md-12 extrapadding collapse" id="freqtable7323928257887695404">
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">Rock Climbing</td>
<td class="number">33</td>
<td class="number">31.1%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Alpine</td>
<td class="number">33</td>
<td class="number">31.1%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Ski Touring</td>
<td class="number">17</td>
<td class="number">16.0%</td>
<td>
<div class="bar" style="width:52%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Ski touring</td>
<td class="number">6</td>
<td class="number">5.7%</td>
<td>
<div class="bar" style="width:19%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">-</td>
<td class="number">3</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:10%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Hiking</td>
<td class="number">3</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:10%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Avalanche course</td>
<td class="number">3</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:10%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Single Pitch </td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:4%"> </div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">7</td>
<td class="number">6.6%</td>
<td>
<div class="bar" style="width:22%"> </div>
</td>
</tr>
</table>
</div>
</div><div class="row variablerow ignore">
<div class="col-md-3 namecol">
<p class="h4 pp-anchor" id="pp_var_Number"><s>Number</s><br/>
<small>Highly correlated</small>
</p>
</div><div class="col-md-3">
<p><em>This variable is highly correlated with <a href="#pp_var_index"><code>index</code></a> and should be ignored for analysis</em></p>
</div>
<div class="col-md-6">
<table class="stats ">
<tr>
<th>Correlation</th>
<td>1</td>
</tr>
</table>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4 pp-anchor" id="pp_var_Number of clients">Number of clients<br/>
<small>Numeric</small>
</p>
</div><div class="col-md-6">
<div class="row">
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Distinct count</th>
<td>8</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>7.5%</td>
</tr>
<tr class="alert">
<th>Missing (%)</th>
<td>7.5%</td>
</tr>
<tr class="alert">
<th>Missing (n)</th>
<td>8</td>
</tr>
<tr class="ignore">
<th>Infinite (%)</th>
<td>0.0%</td>
</tr>
<tr class="ignore">
<th>Infinite (n)</th>
<td>0</td>
</tr>
</table>
</div>
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Mean</th>
<td>2.3571</td>
</tr>
<tr>
<th>Minimum</th>
<td>1</td>
</tr>
<tr>
<th>Maximum</th>
<td>10</td>
</tr>
<tr class="ignore">
<th>Zeros (%)</th>
<td>0.0%</td>
</tr>
</table>
</div>
</div>
</div>
<div class="col-md-3 collapse in" id="minihistogram6412296168224656328">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAASJJREFUeJzt3MEJwjAYgFEVR3IId/LsTg7hTvEu8kEFaWzfuxdyyMefHpLjGGMcgI9Oay8AZnZeewHvLrfH4m%2Be9%2BsPVgImCCSBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQJju0YZveOiBXzFBIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBMImrtxuievDcxHIAks3r437/xyxIOx2gnxzlGF/dhvIlsx69NvC/5QjFgSBQDiOMcbai4BZmSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQXu3OHAABAwnfAAAAAElFTkSuQmCC">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives6412296168224656328,#minihistogram6412296168224656328"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives6412296168224656328">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles6412296168224656328"
aria-controls="quantiles6412296168224656328" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram6412296168224656328" aria-controls="histogram6412296168224656328"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common6412296168224656328" aria-controls="common6412296168224656328"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme6412296168224656328" aria-controls="extreme6412296168224656328"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles6412296168224656328">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>1</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>1</td>
</tr>
<tr>
<th>Q1</th>
<td>1</td>
</tr>
<tr>
<th>Median</th>
<td>2</td>
</tr>
<tr>
<th>Q3</th>
<td>2</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>7</td>
</tr>
<tr>
<th>Maximum</th>
<td>10</td>
</tr>
<tr>
<th>Range</th>
<td>9</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>1</td>
</tr>
</table>
</div>
<div class="col-md-4 col-md-offset-2">
<p class="h4">Descriptive statistics</p>
<table class="stats indent">
<tr>
<th>Standard deviation</th>
<td>2.1359</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.90612</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>3.7932</td>
</tr>
<tr>
<th>Mean</th>
<td>2.3571</td>
</tr>
<tr>
<th>MAD</th>
<td>1.5262</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>2.0354</td>
</tr>
<tr>
<th>Sum</th>
<td>231</td>
</tr>
<tr>
<th>Variance</th>
<td>4.5619</td>
</tr>
<tr>
<th>Memory size</th>
<td>928.0 B</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram6412296168224656328">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzt3XtQ1XX%2Bx/EXcEAOKCuk2GWcocDLWu5kYmRmFnlZSxozjTXHzC42C0o4iaZ2cU28ZFoRS%2BtmZqmzsstkpmtF7TpmSaFZlqYmlprD5jkqoICkXH5/%2BJPf74Rumh/49D3n%2BZhxHD6cvrzxHfXkXDCooaGhQQAAADAm2PYAAAAA/obAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMCxgA2vdunXq1q2bevTo0fgrKytLkrRhwwalpKTo2muv1eDBg7V%2B/XrL0wIAACcJamhoaLA9hA3z5s1TeXm55syZ43O%2Bb98%2B3XnnnVq4cKFuueUWFRYWaurUqSosLFSHDh0sTQsAAJzEZXsAW7766isNHjy4yfmqVauUmJio/v37S5Juv/12vfnmm8rPz1dGRsYv/nhe7/Ff/M/6q%2BDgIMXEROro0SrV1wdk51vHDuxjB/axA/uacwft27cxer3zFZCBVV9frx07dsjtdmvx4sWqq6tTv379NGnSJJWUlKhz584%2Bt09ISNCuXbssTeu/goODFBQUpODgIP6jZgk7sI8d2McO7PPHHQRkYB09elTdunXToEGDlJOTo7KyMk2ZMkVZWVk6efKk3G63z%2B3Dw8NVXV193tf3eDzyer0%2BZy5XhGJjY43M7y9CQoJ9fkfLYwf2sQP72IF9/riDgAysdu3aacWKFY1vu91uZWVl6Z577lFSUpJqamp8bl9TU6PIyMjzvn5%2Bfr5yc3N9ztLT0y/qIUZ/FhXl/vkboVmxA/vYgX3swD5/2kFABtauXbu0du1aPfbYYwoKCpIknTx5UsHBwfrd736nnTt3%2Bty%2BpKRE11xzzXlfPzU1VcnJyT5nLleEysqqLn54PxISEqyoKLeOHTuhurp62%2BMEJHZgHzuwjx3Y15w7iI4%2B/ztITArIwGrbtq1WrFih3/zmNxo7dqw8Ho/mz5%2Bvu%2B66S0OHDtXrr7%2BudevWaeDAgSosLFRxcbGmT59%2B3tePjY1t8nCg13tctbV84Z5NXV09fzaWsQP72IF97MA%2Bf9pBwP6YhuLiYi1cuFDffPONWrVqpTvuuENZWVlq1aqVNm7cqOeee04HDhzQFVdcoaysLPXr1%2B%2BiPh6vImzK5QpWdHSkysqq/OYLymnYgX3swD52YF9z7sDWqwgDNrBaGoHVFP9Rs48d2McO7GMH9vljYPnP0/UBAAB%2BJQgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwLyJ7n7k8EvfGx7hPP2TmYf2yMAANAiuAcLAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAsIAOrLq6Oo0ePVqPP/5449mGDRuUkpKia6%2B9VoMHD9b69estTggAAJwooAMrNzdXW7ZsaXx73759mjBhgh599FFt2bJFEyZMUGZmpg4dOmRxSgAA4DQBG1hFRUUqLCzUwIEDG89WrVqlxMRE9e/fXy6XS7fffrt69eql/Px8i5MCAACncdkewIYjR45o%2BvTpysvL09KlSxvPS0pK1LlzZ5/bJiQkaNeuXRd0fY/HI6/X63PmckUoNjb2F8/sD1wu354PCQn2%2BR0tjx3Yxw7sYwf2%2BeMOAi6w6uvrlZWVpbFjx6pr164%2B76uqqpLb7fY5Cw8PV3V19QV9jPz8fOXm5vqcpaenKyMj45cN7SeioyPPeh4V5T7rOVoOO7CPHdjHDuzzpx0EXGAtWrRIYWFhGj16dJP3ud1u1dTU%2BJzV1NQoMvLsYXAuqampSk5O9jlzuSJUVlZ14QP7kZ9%2B/iEhwYqKcuvYsROqq6u3NFVgYwf2sQP72IF9zbmDc31z39wCLrBWr14tj8ejxMRESWoMqg8%2B%2BECjRo3Sjh07fG5fUlKia6655oI%2BRmxsbJOHA73e46qtDewv3HN9/nV19QH/Z2MbO7CPHdjHDuzzpx0EXGC9%2B%2B67Pm%2Bf%2BRENc%2BfO1d69e/Xaa69p3bp1GjhwoAoLC1VcXKzp06fbGBUAADiU/zybzID4%2BHj9%2Bc9/1qJFi9SrVy/l5eXppZde0pVXXml7NAAA4CABdw/WT82dO9fn7b59%2B6pv376WpgEAAP6Ae7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMC9jAKioq0ogRI3TdddepT58%2BeuaZZ1RTUyNJ2rZtm0aMGKEePXooOTlZ//jHPyxPCwAAnMRxgVVXV3fR1zh69KgeeeQRjRw5Ulu2bNGqVatUXFysv/71r6qoqNC4ceM0dOhQbd68WdnZ2ZozZ46%2B/PJLA9MDAIBA4LjAuvnmm/Xss8%2BqpKTkF18jJiZGmzZt0rBhwxQUFKTy8nL9%2BOOPiomJUWFhodq2batRo0bJ5XKpd%2B/eSklJ0YoVKwx%2BFgAAwJ85LrDGjx%2BvrVu3asiQIRoxYoRWrlyp48ePX/B1WrduLUnq16%2BfUlJS1L59ew0bNkx79uxR586dfW6bkJCgXbt2GZkfAAD4P5ftAS7UyJEjNXLkSO3bt0%2BrVq3SK6%2B8ojlz5qh///66%2B%2B67deONN17Q9QoLC1VRUaFJkyYpIyNDHTp0kNvt9rlNeHi4qqurz/uaHo9HXq/X58zlilBsbOwFzeZvXC7fng8JCfb5HS2PHdjHDuxjB/b54w4cF1hnxMXFaeLEiRo/frxee%2B015eXlad26dbrssss0evRo3XfffQoJCfnZ64SHhys8PFxZWVkaMWKERo8e3eQesZqaGkVGRp73bPn5%2BcrNzfU5S09PV0ZGxnlfwx9FR5/9zzAqyn3Wc7QcdmAfO7CPHdjnTztwbGBt27ZNb731ltatW6eTJ09qwIABGjZsmA4dOqQXX3xRX331lRYuXHjWf3br1q2aNm2a3n77bYWFhUmSTp48qdDQUCUkJOjjjz/2uX1JSYk6dep03rOlpqYqOTnZ58zlilBZWdUFfpb%2B5aeff0hIsKKi3Dp27ITq6uotTRXY2IF97MA%2BdmBfc%2B7gXN/cNzfHBVZeXp5Wr16t/fv3q3v37po4caKGDBnS%2BJwqSQoJCdFTTz11zmt06dJFNTU1WrBggR577DF5vV7NmzdPw4cP16BBg7RgwQItXbpUo0aN0meffaY1a9YoLy/vvGeMjY1t8nCg13tctbWB/YV7rs%2B/rq4%2B4P9sbGMH9rED%2B9iBff60A8cF1vLly3XnnXdq%2BPDhSkhIOOtt4uPjNWnSpHNeIzIyUosXL9bs2bPVp08ftWnTRikpKUpPT1dYWJiWLFmi7Oxs5eTkKCYmRk888YRuuOGG5vqUAACAn3FcYH344YeqrKxUeXl549m6devUu3dvRUdHS5K6deumbt26/dfrJCQkaMmSJWd9X/fu3bVy5UpzQwMAgIDiuKfrf/311xo0aJDy8/Mbz%2BbPn6%2BUlBR98803FicDAAA4zXGB9eyzz2rgwIGaOHFi49kHH3ygm2%2B%2BWXPnzrU4GQAAwGmOC6wdO3Zo3Lhxja/%2Bk04/qX3cuHH64osvLE4GAABwmuMCq3Xr1jpw4ECT8x9%2B%2BEHh4eEWJgIAAPDluMAaNGiQZsyYoU2bNqmyslJVVVX65JNPNHPmTA0YMMD2eAAAAM57FeFjjz2m77//Xg888ICCgoIazwcMGKDJkydbnAwAAOA0xwWW2%2B3WokWL9N1332n37t0KDQ1VfHy84uLibI8GAAAgyYGBdcaVV16pK6%2B80vYYAAAATTgusL777jvNnDlTn332mU6dOtXk/Tt37rQwFQAAwP9xXGDNmDFDpaWlmjRpktq0aWN7HAAAgCYcF1iff/65Xn/9dfXo0cP2KAAAAGfluB/TEB0drcjISNtjAAAAnJPjAmv06NFauHChjh8/bnsUAACAs3LcQ4QbNmzQF198oaSkJF1yySU%2Bf2WOJP3rX/%2ByNBkAAMBpjguspKQkJSUl2R4Dv8DgFz62PcIFeSezj%2B0RAAAO5bjAGj9%2BvO0RAAAA/ivHPQdLknbt2qWpU6fqD3/4gw4dOqQVK1bo008/tT0WAACAJAcG1vbt2zVixAgdPHhQ27dv18mTJ7Vz50498MADWr9%2Bve3xAAAAnBdYzz33nB544AEtW7ZMoaGhkqRZs2bpvvvuU25uruXpAAAAHBhY27dv19ChQ5ucjxw5Ut9%2B%2B62FiQAAAHw5LrBCQ0NVWVnZ5Ly0tFRut9vCRAAAAL4cF1j9%2B/fXggULVFZW1ni2d%2B9eZWdn65ZbbrE3GAAAwP9yXGBNmTJFNTU1uvHGG3XixAkNGzZMQ4YMkcvl0uTJk22PBwAA4Lyfg9W6dWutXLlSRUVF%2Bvrrr1VfX6/OnTurb9%2B%2BCg52XC8CAAA/5LjAOqN3797q3bu37TEAAACacFxgJScnKygo6Jzv5%2B8iBAAAtjkusO666y6fwDp16pT279%2BvDz/8UJmZmRYnAwAAOM1xgTVhwoSzni9fvlyfffaZ7rvvvhaeCAAAwJffPCv81ltv1YYNG2yPAQAA4D%2BBVVxcrFatWtkeAwAAwHkPEf70IcCGhgZVVlZq9%2B7dPDwIAAB%2BFRwXWJdffnmTVxGGhoZqzJgxSklJsTQVAADA/3FcYM2dO9f2CAAAAP%2BV4wJr8%2BbN533bXr16NeMkAAAAZ%2Be4wLr//vvV0NDQ%2BOuMMw8bnjkLCgrSzp07rcwIAAACm%2BMC66WXXtKcOXM0ZcoU3XDDDQoNDdW2bds0Y8YM3Xvvvbr11lttjwgAAAKc435Mw7x58/T000%2Brf//%2Bat26tVq1aqXrr79eM2fO1JIlS3TFFVc0/gIAALDBcYHl8Xh02WWXNTlv3bq1ysrKLEwEAADgy3GBde2112rhwoWqrKxsPCsvL9f8%2BfPVu3dvi5MBAACc5rjnYD3xxBMaM2aMbr75ZsXFxUmSvvvuO7Vv315vvPGG3eEAAADkwMCKj4/XunXrtGbNGu3du1eSdO%2B99%2BqOO%2B6Q2%2B22PB0AAIADA0uSoqKiNGLECB08eFAdO3aUdPqnuQMAAPwaOO45WA0NDXruuefUq1cvDRkyRD/88IOmTJmiqVOn6tSpU7bHAwAAcF5gLVu2TKtXr9bTTz%2BtsLAwSVL//v3173//Wy%2B%2B%2BKLl6QAAABwYWPn5%2BXrqqac0bNiwxp/efvvttys7O1v//Oc/LU8HAADgwMA6ePCgfvvb3zY579Kliw4fPmxhIgAAAF%2BOC6wrrrhCX375ZZPzDRs2ND7hHQAAwCbHvYrwwQcf1J/%2B9CcdOnRIDQ0NKioq0sqVK7Vs2TJNnTrV9ngAAADOC6y7775btbW1evnll1VTU6OnnnpKl1xyiSZOnKiRI0faHg8AAMB5gfX222/r97//vVJTU3X06FE1NDTokksusT0WAABAI8c9B2vWrFmNT2aPiYkhrgAAwK%2BO4wIrLi5Ou3fvtj0GAADAOTnuIcJOnTpp0qRJWrx4seLi4tSqVSuf98%2BZM8fSZAAAAKc5LrAOHDignj17SpK8Xq/laQAAAJpyRGDNmTNHjz76qCIiIrRs2bKLvt6uXbs0b9487dixQ6GhoerTp48ef/xxxcTEaNu2bZo1a5ZKSkoUHR2tP/7xjxoxYoSBzwIAAAQKRzwH64033tCJEyd8zh588EF5PJ4LvlZNTY0eeugh9ejRQx999JHWrl2r8vJyTZs2TRUVFRo3bpyGDh2qzZs3Kzs7W3PmzDnrDzYFAAA4F0cEVkNDQ5OzrVu36scff7zga5WWlqpr165KT09XWFiYoqOjlZqaqs2bN6uwsFBt27bVqFGj5HK51Lt3b6WkpGjFihUmPg0AABAgHPEQoUlXXXWVFi9e7HP23nvv6eqrr9aePXvUuXNnn/clJCSooKDggj6Gx%2BNp8vwwlytCsbGxv2xoWOFyOeL7j4sSEhLs8ztaHjuwjx3Y5487CLjA%2Bv8aGhr0wgsvaP369Vq%2BfLneeOMNud1un9uEh4erurr6gq6bn5%2Bv3Nxcn7P09HRlZGRc9MxoOdHRkbZHaDFRUe6fvxGaFTuwjx3Y5087cExgBQUFGb1eZWWlpk6dqh07dmj58uXq0qWL3G63jh8/7nO7mpoaRUZe2P9oU1NTlZyc7HPmckWorKzqoudGywmEfYWEBCsqyq1jx06orq7e9jgBiR3Yxw7sa84d2Ppm2TGBNWvWLJ%2BfeXXq1CnNnz%2B/Sfycz8/BOnDggB5%2B%2BGFdfvnlKigoUExMjCSpc%2BfO%2Bvjjj31uW1JSok6dOl3QrLGxsU0eDvR6j6u2li9cJwmkfdXV1QfU5/trxA7sYwf2%2BdMOHPFgZ69eveT1enXw4MHGXz169FBZWZnP2cGDB3/2WhUVFRozZoyuu%2B46vfrqq41xJUkDBgzQ4cOHtXTpUp06dUqffPKJ1qxZo7vvvrs5Pz0AAOBnHHEPlomffXXGm2%2B%2BqdLSUr3zzjt69913fd73%2Beefa8mSJcrOzlZOTo5iYmL0xBNP6IYbbjD28QEAgP9zRGCZNHbsWI0dO/ac7%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%2BEZsUO7GMH9vnTDgIusDp16qTy8nIdPnxY7dq1kyTt3btXl156qdq0aWPkY6Smpio5OdnnzOWKUFlZlZHro2UEwr5CQoIVFeXWsWMnVFdXb3ucgMQO7GMH9jXnDmx9sxxwgRUXF6eePXtq9uzZmjlzpsrKypSXl6fhw4cb%2BxixsbFNHg70eo%2BrtpYvXCcJpH3V1dUH1Of7a8QO7GMH9vnTDvznwc4LkJOTo9raWt12222655571LdvX6WlpdkeCwAA%2BImAuwdLktq1a6ecnBzbYwAAAD8VkPdgAQAANCcCCwAAwDACCwAAwDACCwAAwDACCwAAwDACCwAAwDACCwAAwDACCwAAwDACCwAAwDACCwAAwDACCwAAwDACCwAAwDACCwAAwDACCwAAwDCX7QEA4Ndu8Asf2x7hgryT2cf2CEDA4x4sAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAw3gVIeAnnPRKN17lBsDfcQ8WAACAYQQWAACAYQQWAACAYQQWAACAYQQWAACAYQQWAACAYQQWAACAYQQWAACAYQQWAACAYQQWAACAYQQWAACAYQQWAACAYfxlz8A5OOkvTwYA/LpwDxYAAIBhBBYAAIBhBBYAAIBhBBYAAIBhBBYAAIBhvIoQAPyMk14B%2B05mH9sj%2BDUn/buwJfv3tkcwinuwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwzuLIkSNKS0tTYmKikpKSlJ2drdraWttjAQAAhyCwziIzM1MRERHauHGjCgoKVFRUpKVLl9oeCwAAOASB9RP79%2B9XcXGxsrKy5Ha71bFjR6WlpWnFihW2RwMAAA5BYP3Enj171LZtW3Xo0KHxLD4%2BXqWlpTp27JjFyQAAgFO4bA/wa1NVVSW32%2B1zdubt6upqRUVF/ew1PB6PvF6vz5nLFaHY2FhzgwIO5nLxvR1O%2BzX8uxASEuzzO%2Bzxpx0QWD8RERGhEydO%2BJydeTsyMvK8rpGfn6/c3Fyfs/Hjx2vChAlmhvx/tmT/3vg1W4rH41F%2Bfr5SU1OJT0vYwflpzq8zdmCfx%2BPR668v9ssdOOX/ER6PRy%2B99JJf7cB/UtGQTp06qby8XIcPH24827t3ry699FK1adPmvK6RmpqqN9980%2BdXampqc43sWF6vV7m5uU3u7UPLYQf2sQP72IF9/rgD7sH6ibi4OPXs2VOzZ8/WzJkzVVZWpry8PA0fPvy8rxEbG%2Bs3BQ4AAC4c92CdRU5Ojmpra3XbbbfpnnvuUd%2B%2BfZWWlmZ7LAAA4BDcg3UW7dq1U05Oju0xAACAQ4XMmDFjhu0hELgiIyN1/fXXn/cLCGAeO7CPHdjHDuzztx0ENTQ0NNgeAgAAwJ/wHCwAAADDCCwAAADDCCwAAADDCCwAAADDCCwAAADDCCwAAADDCCwAAADDCCwAAADDCCxYsWvXLo0dO1bXX3%2B9%2BvTpo8mTJ%2Bvo0aO2xwpIdXV1Gj16tB5//HHbowSc8vJyTZ48WUlJSerVq5fS0tLk8XhsjxVQduzYoVGjRikxMVE33XSTZs2apZMnT9oey28dOXJEaWlpSkxMVFJSkrKzs1VbW2t7rGZBYKHF1dTU6KGHHlKPHj300Ucfae3atSovL9e0adNsjxaQcnNztWXLFttjBKQJEyaourpa77//vtavX6%2BQkBA9%2BeSTtscKGPX19XrkkUc0aNAgFRcXq6CgQB999JFeeeUV26P5rczMTEVERGjjxo0qKChQUVGRli5danusZsFf9owWV1paqq5duyo9PV0hISEKCwtTamqqJk%2BebHu0gFNUVKTCwkINHDjQ9igBZ/v27dq2bZs2bdqk1q1bS5KeeeYZeb1ey5MFjoqKCnm9XtXX1%2BvM3xoXHBwst9tteTL/tH//fhUXF%2BvDDz%2BU2%2B1Wx44dlZaWpvnz5%2Buhhx6yPZ5x3IOFFnfVVVdp8eLFCgkJaTx77733dPXVV1ucKvAcOXJE06dP14IFC/gfigVffvmlEhIS9Pe//10DBgzQTTfdpHnz5ql9%2B/a2RwsY0dHRuv/%2B%2BzVv3jx1795d/fr1U1xcnO6//37bo/mlPXv2qG3bturQoUPjWXx8vEpLS3Xs2DGLkzUPAgtWNTQ06Pnnn9f69es1ffp02%2BMEjPr6emVlZWns2LHq2rWr7XECUkVFhXbv3q19%2B/Zp1apVeuutt3To0CFNmTLF9mgBo76%2BXuHh4XryySf1xRdfaO3atdq7d69ycnJsj%2BaXqqqqmnwzd%2Bbt6upqGyM1KwIL1lRWViojI0Nr1qzR8uXL1aVLF9sjBYxFixYpLCxMo0ePtj1KwAoLC5MkTZ8%2BXa1bt1a7du2UmZmpDRs2qKqqyvJ0geH999/Xe%2B%2B9p3vvvVdhYWHq1KmT0tPT9be//c32aH4pIiJCJ06c8Dk783ZkZKSNkZoVz8GCFQcOHNDDDz%2Bsyy%2B/XAUFBYqJibE9UkBZvXq1PB6PEhMTJZ1%2B4YEkffDBBzzhvYUkJCSovr5ep06dUqtWrSSdvkdFUuPzgdC8/vOf/zR5xaDL5VJoaKilifxbp06dVF5ersOHD6tdu3aSpL179%2BrSSy9VmzZtLE9nHvdgocVVVFRozJgxuu666/Tqq68SVxa8%2B%2B672rp1q7Zs2aItW7ZoyJAhGjJkCHHVgm688UZ17NhR06ZNU1VVlY4eParnn39e/fv3b3zSO5rXTTdbkpVeAAABHklEQVTdJK/Xq7/85S%2Bqq6vT999/r5dfflkpKSm2R/NLcXFx6tmzp2bPnq3Kykp9//33ysvL0/Dhw22P1iyCGvhWCS3stdde09y5c%2BV2uxUUFOTzvs8//9zSVIHtzM/Amjt3ruVJAsuhQ4c0d%2B5cbd68WT/%2B%2BKOSk5M1ffp0RUVF2R4tYGzatEkvvPCCvv32W7Vp00Z33nmn0tPTGx/ChVmHDx/WzJkz9emnnyo4OFhDhw7VpEmTfF705C8ILAAAAMN4iBAAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMCw/wFtJ0GSW4GELgAAAABJRU5ErkJggg%3D%3D"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common6412296168224656328">
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">1.0</td>
<td class="number">48</td>
<td class="number">45.3%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">2.0</td>
<td class="number">27</td>
<td class="number">25.5%</td>
<td>
<div class="bar" style="width:56%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">6.0</td>
<td class="number">7</td>
<td class="number">6.6%</td>
<td>
<div class="bar" style="width:15%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">4.0</td>
<td class="number">6</td>
<td class="number">5.7%</td>
<td>
<div class="bar" style="width:13%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">3.0</td>
<td class="number">4</td>
<td class="number">3.8%</td>
<td>
<div class="bar" style="width:9%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">10.0</td>
<td class="number">3</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:7%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">7.0</td>
<td class="number">3</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:7%"> </div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">8</td>
<td class="number">7.5%</td>
<td>
<div class="bar" style="width:17%"> </div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme6412296168224656328">
<p class="h4">Minimum 5 values</p>
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">1.0</td>
<td class="number">48</td>
<td class="number">45.3%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">2.0</td>
<td class="number">27</td>
<td class="number">25.5%</td>
<td>
<div class="bar" style="width:56%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">3.0</td>
<td class="number">4</td>
<td class="number">3.8%</td>
<td>
<div class="bar" style="width:9%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">4.0</td>
<td class="number">6</td>
<td class="number">5.7%</td>
<td>
<div class="bar" style="width:13%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">6.0</td>
<td class="number">7</td>
<td class="number">6.6%</td>
<td>
<div class="bar" style="width:15%"> </div>
</td>
</tr>
</table>
<p class="h4">Maximum 5 values</p>
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">3.0</td>
<td class="number">4</td>
<td class="number">3.8%</td>
<td>
<div class="bar" style="width:57%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">4.0</td>
<td class="number">6</td>
<td class="number">5.7%</td>
<td>
<div class="bar" style="width:85%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">6.0</td>
<td class="number">7</td>
<td class="number">6.6%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">7.0</td>
<td class="number">3</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:43%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">10.0</td>
<td class="number">3</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:43%"> </div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4 pp-anchor" id="pp_var_Pay">Pay<br/>
<small>Numeric</small>
</p>
</div><div class="col-md-6">
<div class="row">
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Distinct count</th>
<td>16</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>15.1%</td>
</tr>
<tr class="alert">
<th>Missing (%)</th>
<td>6.6%</td>
</tr>
<tr class="alert">
<th>Missing (n)</th>
<td>7</td>
</tr>
<tr class="ignore">
<th>Infinite (%)</th>
<td>0.0%</td>
</tr>
<tr class="ignore">
<th>Infinite (n)</th>
<td>0</td>
</tr>
</table>
</div>
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Mean</th>
<td>444.14</td>
</tr>
<tr>
<th>Minimum</th>
<td>0</td>
</tr>
<tr>
<th>Maximum</th>
<td>800</td>
</tr>
<tr class="ignore">
<th>Zeros (%)</th>
<td>0.9%</td>
</tr>
</table>
</div>
</div>
</div>
<div class="col-md-3 collapse in" id="minihistogram800038991921051243">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAASJJREFUeJzt28EJAjEQQFEVS7IIe/JsTxZhT7EB%2BagQN8p75z3k8hnYSfZjjLEDnjpsfQBY2XHrA/yS0%2BX21vf363nSSfgWEwSCQCAIBIJAIAgEgkAgCASCQCAIBIJN%2Bh%2Bw4Z/HBIEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCK6aLObdayPMZYJAEAgEgUAQCASBQBAIBL95meaTX9arvXY0QSAIBIJAIAgEgkAgCASCQCAIBIJF4UTedvw%2BEwSCQCAIBIJAIAgEgkAgCATCcnuQbz2ysaPgFSYIhP0YY2x9CFiVCQJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBALhAe6IGM47ITFFAAAAAElFTkSuQmCC">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives800038991921051243,#minihistogram800038991921051243"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives800038991921051243">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles800038991921051243"
aria-controls="quantiles800038991921051243" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram800038991921051243" aria-controls="histogram800038991921051243"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common800038991921051243" aria-controls="common800038991921051243"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme800038991921051243" aria-controls="extreme800038991921051243"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles800038991921051243">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>0</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>266.94</td>
</tr>
<tr>
<th>Q1</th>
<td>300</td>
</tr>
<tr>
<th>Median</th>
<td>450</td>
</tr>
<tr>
<th>Q3</th>
<td>550</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>750</td>
</tr>
<tr>
<th>Maximum</th>
<td>800</td>
</tr>
<tr>
<th>Range</th>
<td>800</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>250</td>
</tr>
</table>
</div>
<div class="col-md-4 col-md-offset-2">
<p class="h4">Descriptive statistics</p>
<table class="stats indent">
<tr>
<th>Standard deviation</th>
<td>161.88</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.36447</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>-0.17489</td>
</tr>
<tr>
<th>Mean</th>
<td>444.14</td>
</tr>
<tr>
<th>MAD</th>
<td>129.87</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>0.44199</td>
</tr>
<tr>
<th>Sum</th>
<td>43970</td>
</tr>
<tr>
<th>Variance</th>
<td>26204</td>
</tr>
<tr>
<th>Memory size</th>
<td>928.0 B</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram800038991921051243">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzt3XtUVXX%2B//GXgMZNFDJqmm9rOalgJgaGt9BqmBgrdS4qkZmZmc4kyVe/Xsgyc5zIHCenlGXLSe2ma6T8dtNMu3wd62tWZqbmiIljUV9TMEABRW6f3x/9PNNJR8A%2Bx83ePB9rsVx8zjnb96u9N73Y52IrY4wRAAAArAlyegAAAACvoWABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWAAAAJZRsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMtCnB6gpSguLre%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%2Bro0aMaP368fvOb32jr1q3KycnR3LlztXPnTqfHBgAALhHi9ABOiImJ0fvvv6/IyEgZY1RWVqaTJ08qJiZGb775ptq3b6%2BRI0dKkvr166chQ4Zo5cqV6tGjh8OTAwAAN2iRV7AkKTIyUpJ03XXXaciQIbrooos0dOhQ7du3T3FxcX737dy5s/Lz850YEwAAuFCLvIL1fW%2B%2B%2BaaOHj2qqVOnKisrSxdffLHCwsL87hMaGqrjx483eptFRUUqLi72WwsJCVdsbKyVmU8JDg7y%2B9MrvJpL8na2pggJcU9%2BL%2B8zr2bzai7Ju9m8mKvFF6zQ0FCFhoZq2rRpSk9P16hRo1ReXu53n6qqKkVERDR6m3l5ecrNzfVby8zMVFZWlpWZfygqKqzhO7mQV3NJ3s7WGNHRjT%2Bfmgsv7zOvZvNqLsm72byUq0UWrE8%2B%2BUT333%2B/XnvtNbVp00aSVF1drdatW6tz587avHmz3/0LCgrUpUuXRm8/IyNDqampfmshIeEqLa388cN/T3BwkKKiwnTs2AnV1dVb3baTvJpL8na2prB9LgSSl/eZV7N5NZfk3WyBzOXUL3QtsmDFx8erqqpKjz32mKZMmaLi4mLNmzdPw4cP18CBA/XYY4/pmWee0ciRI7Vt2zatWbNGixcvbvT2Y2NjT3s6sLi4XLW1gTkZ6urqA7ZtJ3k1l%2BTtbI3hxuxe3mdezebVXJJ3s3kpV4ssWBEREVq6dKkeeeQRpaSkqG3bthoyZIgyMzPVpk0bLV%2B%2BXDk5OVq4cKFiYmI0c%2BZM9e3b1%2BmxAQCAS7TIgiV9987A5cuXn/G2hIQErVq16jxPBAAAvMI7L9cHAABoJihYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWAAAAJZRsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUhTg8AALDrpsc3Oz1Co70xKcXpEYCA4AoWAACAZRQsAAAAyyhYAAAAllGwAAAALGuRBSs/P19jxoxR7969lZKSounTp6ukpESS9NBDD6l79%2B5KSkryfeXl5Tk8MQAAcJMWV7Cqqqp09913KykpSf/7v/%2BrtWvXqqysTPfff78kadeuXfrjH/%2Bo7du3%2B74yMjIcnhoAALhJiytYBw8eVNeuXZWZmak2bdooOjpaGRkZ2rp1q6qrq/X555%2Bre/fuTo8JAABcrMV9Dtbll1%2BupUuX%2Bq1t2LBBV155pfLz81VbW6uFCxdq27Ztatu2rYYNG6a7775bQUGN76JFRUUqLi72WwsJCVdsbKyVDKcEBwf5/ekVXs0leTtbU4SEuCc/%2ByywAnEseHmfeTWbF3O1uIL1fcYYPf7449q4caNWrFihI0eOqHfv3ho1apQWLFigPXv2KDMzU0FBQbr77rsbvd28vDzl5ub6rWVmZiorK8t2BElSVFRYQLbrNK/mkrydrTGioyOcHqHJWvo%2BC5RAHgte3mdezealXC22YFVUVGjGjBnavXu3VqxYofj4eMXHxysl5V%2BfKtyjRw%2BNHj1a69ata1LBysjIUGpqqt9aSEi4Sksrrc0vfdf0o6LCdOzYCdXV1VvdtpO8mkvydramsH0uBBL7LLACcSx4eZ95NVsgczn1C12LLFiFhYUaN26cLr30Uq1evVoxMTGSpLfffltHjhzRrbfe6rtvdXW1QkNDm7T92NjY054OLC4uV21tYE6Gurr6gG3bSV7NJXk7W2O4MXtL32eBEsj/pl7eZ17N5qVc3nmys5GOHj2q0aNHq2fPnlq2bJmvXEnfPWU4d%2B5cbdmyRcYYbd%2B%2BXc899xzvIgQAAE3S4q5gvfTSSzp48KDeeOMNrV%2B/3u%2B27du3a8aMGZo9e7YOHz6sDh06aOLEifr1r3/t0LQAAMCNWlzBGjNmjMaMGfNvb7/11lv9niIEAABoqhb3FCEAAECgUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWAAAAJZRsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZa4rWHV1dU6PAAAAcFauK1jXXnut/vSnP6mgoMDpUQAAAM7IdQXr3nvv1SeffKLBgwcrPT1dq1atUnl5udNjAQAA%2BLiuYI0YMUKrVq3S%2BvXrdc011%2Bipp55S//79NWXKFL3//vtOjwcAAOC%2BgnVKx44dNXnyZK1fv16ZmZl65513NHbsWKWmpurpp5/mtVoAAMAxIU4PcK527NihV155RevWrVN1dbXS0tI0dOhQHT58WE888YR27dqlBQsWnPGx%2Bfn5mjdvnnbv3q3WrVsrJSVF9913n2JiYrRjxw49/PDDKigoUHR0tO655x6lp6ef53QAAMDNXFewFi9erFdffVVffvmlEhISNHnyZA0ePFiRkZG%2B%2BwQHB2vWrFlnfHxVVZXuvvtu3XLLLVqyZIkqKyuVnZ2t%2B%2B%2B/X/PmzdP48eOVlZWljIwMbd26VZmZmYqPj1ePHj3OV0QAAOByritYK1as0K9%2B9SsNHz5cnTt3PuN9OnXqpKlTp57xtoMHD6pr167KzMxUcHCw2rRpo4yMDE2fPl1vvvmm2rdvr5EjR0qS%2BvXrpyFDhmjlypUULAAA0GiuK1jvvvuuKioqVFZW5ltbt26d%2BvXrp%2BjoaElSt27d1K1btzM%2B/vLLL9fSpUv91jZs2KArr7xS%2B/btU1xcnN9tnTt31urVq5s0Y1FRkYqLi/3WQkLCFRsb26TtNCQ4OMjvT6/wai7J29maIiTEPfnZZ4EViGPBy/vMq9m8mMt1Besf//iHxo0bp6FDhyo7O1uSNH/%2BfNXU1Gj58uWnFaSzMcbo8ccf18aNG7VixQo999xzCgsL87tPaGiojh8/3qQZ8/LylJub67eWmZmprKysJm2nsaKiwhq%2Bkwt5NZfk7WyNER0d4fQITdbS91mgBPJY8PI%2B82o2L%2BVyXcH605/%2BpF/%2B8peaPHmyb%2B3tt9/Wgw8%2BqEcffVTLly9v1HYqKio0Y8YM7d69WytWrFB8fLzCwsJO%2B0ytqqoqRUQ07QdARkaGUlNT/dZCQsJVWlrZpO00JDg4SFFRYTp27ITq6uqtbttJXs0leTtbU9g%2BFwKJfRZYgTgWvLzPvJotkLmc%2BoXOdQVr9%2B7dmjt3rtq0aeNbCw4O1vjx4zV06NBGbaOwsFDjxo3TpZdeqtWrVysmJkaSFBcXp82bN/vdt6CgQF26dGnSjLGxsac9HVhcXK7a2sCcDHV19QHbtpO8mkvydrbGcGP2lr7PAiWQ/029vM%2B8ms1LuVz3ZGdkZKQKCwtPWz906JBCQ0MbfPzRo0c1evRo9ezZU8uWLfOVK0lKS0vTkSNH9Mwzz6impkYffPCB1qxZo2HDhlnNAAAAvM11V7AGDhyo2bNn6w9/%2BIN69OihVq1aadeuXZozZ47S0tIafPxLL72kgwcP6o033tD69ev9btu%2BfbuWL1%2BunJwcLVy4UDExMZo5c6b69u0bqDgAAMCDXFewpkyZoq%2B%2B%2Bkp33XWXWrVq5VtPS0vT9OnTG3z8mDFjNGbMmH97e0JCglatWmVlVgAA0DK5rmCFhYVpyZIlOnDggPbu3avWrVurU6dO6tixo9OjAQAASHJhwTrlZz/7mX72s585PQYAAMBpXFewDhw4oDlz5mjbtm2qqak57fY9e/Y4MBUAAMC/uK5gzZ49WwcPHtTUqVPVtm1bp8cBAAA4jesK1vbt2/Xss88qKSnJ6VEAAADOyHWfgxUdHd3kT1YHAAA4n1xXsEaNGqUFCxac9k/aAAAANBeue4pw06ZN%2BvTTT9WnTx9deOGFfv9kjiS98847Dk0GAADwHdcVrD59%2BqhPnz5OjwEAAPBvua5g3XvvvU6PAAAAcFauew2WJOXn52vGjBm69dZbdfjwYa1cuVIffvih02MBAABIcmHB%2Buyzz5Senq6vv/5an332maqrq7Vnzx7ddddd2rhxo9PjAQAAuK9g/fnPf9Zdd92l559/Xq1bt5YkPfzww7rjjjuUm5vr8HQAAAAufA3WZ599poceeui09REjRmjVqlUOTATA65IfWO/0CABcxnVXsFq3bq2KiorT1g8ePKiwsDAHJgIAAPDnuoJ1ww036LHHHlNpaalvbf/%2B/crJydH111/v3GAAAAD/n%2BsKVnZ2tqqqqnTNNdfoxIkTGjp0qAYPHqyQkBBNnz7d6fEAAADc9xqsyMhIrVq1Slu2bNE//vEP1dfXKy4uTgMGDFBQkOv6IgAA8CDXFaxT%2BvXrp379%2Bjk9BgAAwGlcV7BSU1PVqlWrf3s7/xYhAABwmusK1m9/%2B1u/glVTU6Mvv/xS7777riZNmuTgZAAAAN9xXcGaOHHiGddXrFihbdu26Y477jjPEwEAAPjzzKvCf/7zn2vTpk1OjwEAAOCdgvXRRx/pggsucHoMAAAA9z1F%2BMOnAI0xqqio0N69e3l6EAAANAuuK1iXXnrpae8ibN26tUaPHq0hQ4Y4NBUAAMC/uK5gPfroo06PAAAAcFauK1hbt25t9H179eoVwEkAAADOzHUF684775Qxxvd1yqmnDU%2BttWrVSnv27HFkRgAA0LK5rmAtWrRIc%2BfOVXZ2tvr27avWrVtrx44dmj17tm677Tb9/Oc/d3pEAADQwrnuYxrmzZunhx56SDfccIMiIyN1wQUXqHfv3pozZ46WL1%2Bun/70p74vAAAAJ7iuYBUVFeknP/nJaeuRkZEqLS11YCIAAAB/ritYiYmJWrBggSoqKnxrZWVlmj9/vvr16%2BfgZAAAAN9x3WuwZs6cqdGjR%2Bvaa69Vx44dJUkHDhzQRRddpOeee87Z4QAAAOTCgtWpUyetW7dOa9as0f79%2ByVJt912mwYNGqSwsDCHpwMAAHBhwZKkqKgopaen6%2Buvv9Zll10m6btPcwcAAGgOXPcaLGOM/vznP6tXr14aPHiwDh06pOzsbM2YMUM1NTWN2sa6devUrVs3JSUl%2Bb6mTZsW4MkBAEBL4bqC9fzzz%2BvVV1/VQw89pDZt2kiSbrjhBv3P//yPnnjiiUZtY9euXfr1r3%2Bt7du3%2B77mz58fyLEBAEAL4rqClZeXp1mzZmno0KG%2BT2%2B/%2BeablZOTo9dff71R29i1a5e6d%2B8eyDEBAEAL5rrXYH399de64oorTluPj4/XkSNHGnx8fX29du/erbCwMC1dulR1dXW67rrrNHXqVLVr187KjEVFRSouLvZbCwkJV2xsrJXtnxIcHOT3p1d4NZfk7WxNERLinvwtfV8FWiCOBS%2BfZ17N5sVcritYP/3pT7Vz5079x3/8h9/6pk2bfC94P5uSkhJ169ZNAwcO1MKFC1VaWqrs7GxNmzZNf/3rX63MmJeXp9zcXL%2B1zMxMZWVlWdn%2BD0VFefPdk17NJXk7W2NER0c4PQKaiUAeC14%2Bz7yazUu5XFewxo4dqz/84Q86fPiwjDHasmWLVq1apeeff14zZsxo8PEdOnTQypUrfd%2BHhYVp2rRpuuWWW1RRUaHIyMgfPWNGRoZSU1P91kJCwlVaWvmjt/19wcFBiooK07FjJ1RXV291207yai7J29mawva5EEhe%2Bo26OQrEseDl88yr2QKZy6lf6FxXsIYNG6ba2lo9%2BeSTqqqq0qxZs3ThhRdq8uTJGjFiRIOPz8/P19q1azVlyhTfa7iqq6sVFBTke9H8jxUbG3va04HFxeWqrQ3MyVBXVx%2BwbTvJq7kkb2drjJacHf4CeSx4%2BTzzajYv5XJdwXrttdd04403KiMjQyUlJTLG6MILL2z049u3b6%2BVK1eqXbt2GjNmjIqKijR//nz99re/tVawAABAy%2Ba6a98PP/yw78XsMTExTSpXknTJJZdoyZIleuedd9S7d28NGzZMCQkJmjVrViDGBQAALZDrrmB17NhRe/fuVadOnc55G71799aqVassTgUAAPAvritYXbp00dSpU7V06VJ17NhRF1xwgd/tc%2BfOdWgyAACA77iuYBUWFurqq6%2BWpNM%2BawoAAKA5cEXBmjt3rv7zP/9T4eHhev75550eBwAA4Kxc8SL35557TidOnPBbGzt2rIqKihyaCAAA4N9zRcEyxpy29sknn%2BjkyZMOTAMAAHB2rihYAAAAbkLBAgAAsMw1BevUP2sDAADQ3LniXYTSd5/g/v3PvKqpqdH8%2BfMVEeH/jzjyOVgAAMBprihYvXr1Ou0zr5KSklRaWqrS0lKHpgIAADgzVxQsPvsKAAC4iWtegwUAAOAWFCwAAADLXPEUIQAAaLqbHt/s9AiN9nHOjU6PYBVXsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUtumCVlJQoLS1NH374oW9tx44dSk9PV1JSklJTU/Xiiy86OCEAAHCjFluwtm3bpoyMDBUWFvrWjh49qvHjx%2Bs3v/mNtm7dqpycHM2dO1c7d%2B50cFIAAOA2LbJgvfzyy5o6daomT57st/7mm2%2Bqffv2GjlypEJCQtSvXz8NGTJEK1eudGhSAADgRi2yYPXv319vvfWWbr75Zr/1ffv2KS4uzm%2Btc%2BfOys/PP5/jAQAAlwtxegAnXHTRRWdcr6ysVFhYmN9aaGiojh8/3qTtFxUVqbi42G8tJCRcsbGxTRu0AcHBQX5/eoVXc0neztYUISHuyd/S91WgBeJY8PJ55uVskrdytciC9e%2BEhYWpvLzcb62qqkoRERFN2k5eXp5yc3P91jIzM5WVlfWjZzyTqKiwhu/kQl7NJXk7W2NERzftnIJ3BfJY8PJ55tVsXspFwfqeuLg4bd682W%2BtoKBAXbp0adJ2MjIylJqa6rcWEhKu0tLKHz3j9wUHBykqKkzHjp1QXV291W07yau5JG9nawrb50Igeek36uYoEMeCl88zL2eTFJBcTv1CR8H6nrS0NM2fP1/PPPOMRo4cqW3btmnNmjVavHhxk7YTGxt72tOBxcXlqq0NzMlQV1cfsG07yau5JG9na4yWnB3%2BAnksePk882o2L%2BXiV7PviY6O1vLly7V%2B/Xr16dNHM2fO1MyZM9W3b1%2BnRwMAAC7S4q9g7d271%2B/7hIQErVq1yqFpAACAF3AFCwAAwDIKFgAAgGUULAAAAMsoWAAAAJZRsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWBbi9AAAWp6bHt/s9AgAEFBcwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsCzE6QG8qKioSMXFxX5rISHhio2Ntfr3BAcH%2Bf3pFV7NJXk7G3AuQkLsnwtePs%2B8nE3yVi4KVgDk5eUpNzfXby0zM1NZWVkB%2BfuiosICsl2neTWX5O1sQFNER0cEbNtePs%2B8ms1LuShYAZCRkaHU1FS/tZCQcJWWVlr9e4KDgxQVFaZjx06orq7e6rad5NVckrezAefC9s9FydvnmZezSQpIrkCW%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%2Bxb69Spkw4ePKhjx445OBkAAHALPgfrByorKxUWFua3dur748ePKyoqqsFtFBUVqbi42G8tJCRcsbGx9gaVFBzsrn4cEtK4eU/lcls%2BAE3X2J8LTeHlnyFeziZ5KxcF6wfCw8N14sQJv7VT30dERDRqG3l5ecrNzfVbu/feezVx4kQ7Q/5/RUVFGn3JPmVkZFgvb04qKirSs88udTzXxzk3Wt9mUVGR8vLyHM9mm1dzSWRzo%2BbyMyQQmpotED/HAqGoqEiLFi3y1D7zTlW0pEuXLiorK9ORI0d8a/v379cll1yitm3bNmobGRkZeumll/y%2BMjIyrM9aXFys3Nzc066WuZ1Xc0nezebVXBLZ3MiruSTvZvNiLq5g/UDHjh119dVX65FHHtGcOXNUWlqqxYsXa/jw4Y3eRmxsrGcaOAAAaDquYJ3BwoULVVtbq1/84he65ZZbNGDAAE2YMMHpsQAAgEtwBesMOnTooIULFzo9BgAAcKng2bNnz3Z6CJy7iIgI9e7du9EvwHcLr%2BaSvJvNq7kksrmRV3NJ3s3mtVytjDHG6SEAAAC8hNdgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWADgkP/7v//T73//e/Xq1UvJycmaMGGCvvrqK6fHAmABBQsAHDJx4kTFxsbqvffe03vvvaeIiAjNmDHD6bEAWEDBcqlvv/1WEyZMUHJysvr06aOcnBzV1tY6PVaDGpp7x44dSk9PV1JSklJTU/Xiiy86OG3T5Ofna8yYMerdu7dSUlI0ffp0lZSUSGreuerq6jRv3jxdc801SkpK0j333KOioiKnxzqv6urqNGrUKN13332%2BtU2bNmnIkCFKTEzUTTfdpI0bN/o95qmnntK1116rxMREjRo1Sv/85z%2Bb/Pf%2B7W9/04MPPqjQ0FBVVFSosrJSMTExPzpPfX29rrrqKl1xxRXq0aOHrrrqKnXt2lXHjx9vdL7mqqysTNOnT1efPn3Uq1cvTZgwwXe8NnSevfzyy0pLS1NiYqKGDh2q7du3OxHhjF577TUlJSX5fXXv3l3du3eXdH6Ox0DZvXu3Ro4cqeTkZPXv318PP/ywqqurJbk7V4MMXOn22283U6ZMMcePHzeFhYVm0KBB5qmnnnJ6rAadbe6ysjLTu3dvs2LFClNTU2Pef/99k5SUZHbs2OHw1A07ceKESUlJMU888YQ5efKkKSkpMePGjTO/%2B93vmn2uRYsWmSFDhpiDBw%2Ba8vJyM2mFVKJrAAAIe0lEQVTSJDNu3DinxzqvHn/8cdO1a1eTnZ1tjDHmwIEDJiEhwbz11lumpqbGvP7666ZHjx7m0KFDxhhjXnrpJTNgwADz%2Beefm6qqKjN37lwzaNAgU19ff05//3/913%2BZ%2BPh4079/f1NQUPCj8%2BTn55tu3bqZRx55xJw8edLs3r3b9O/f36xbt65R%2BZqz22%2B/3WRmZpqjR4%2Ba8vJyc%2B%2B995rx48c3eJ598MEHJikpyXz88cemurraPP3006ZPnz7m%2BPHjDic6s0OHDpmUlBTzyiuvnPfj0aa6ujqTkpJinn32WVNXV2e%2B%2BeYbM3DgQJObm%2BvqXI1BwXKhL774wsTFxfn9MHz99dfN9ddf7%2BBUDWto7hdeeMH88pe/9HvMrFmzzPTp08/rnOdi//79ZuzYsaa2tta39vbbb5uePXs2%2B1zXXnutee2113zfFxcXm/j4eFNYWOjgVOfP%2B%2B%2B/b26%2B%2BWaTlZXlK1gLFiwwY8aM8bvf2LFjzRNPPGGMMebWW281Tz75pO%2B26upqk5SUZLZs2XJOM5w4ccJUVlaanJwcc80115hjx46dY5rv5OXlmW7dupmTJ0/61pYsWWJGjhxpjGk4X3O1a9cuk5CQYMrLy31rpaWl5vPPP2/wPJsyZYqZOXOm3%2B033nijWb16deAHb6L6%2BnozatQo88ADDxhjzv/xaFNJSYmJi4szTz/9tKmtrTXffPONuemmm8yyZctcnasxeIrQhfbt26f27dvr4osv9q116tRJBw8e1LFjxxyc7Owamnvfvn2Ki4vze0znzp2Vn59/vkdtsssvv1xLly5VcHCwb23Dhg268sorm3Wu8vJyHTp0yG%2B%2BDh06qF27dtq7d6%2BDk50f3377rR544AE99thjCgsL860XFBScdZ/98PbWrVurY8eO57xPQ0NDFR4eruzsbB0/flwffPDBOW3nlAcffFA/%2BclPNGLECPXt21cjR45UdXX1v51faj7H5Nns3LlTnTt31gsvvKC0tDT1799f8%2BbN00UXXdTgeeamzK%2B%2B%2BqoKCgp8T1mf7%2BPRpujoaN15552aN2%2BeEhISdN1116ljx4668847XZ2rMShYLlRZWen3PwNJvu%2B//xqL5qahuc90e2hoaLPOdCbGGP3lL3/Rxo0b9cADDzTrXJWVlZKk8PBwv/XQ0FDfbV5VX1%2BvadOmacyYMeratavfbQ3tMxv7tKqqSgMHDtTOnTt9a3V1daqvr1e7du2aGsdPUFCQ6uvrtXjxYv39739Xamqqli1b5tunzfmYPJujR49q7969%2BuKLL/Tyyy/rlVde0eHDh5WdnX1e9tn5UF9fryeffFK///3vFRkZKen8HI%2BBUl9fr9DQUD344IP69NNPtXbtWu3fv18LFy50da7GoGC5UHh4uE6cOOG3dur7iIgIJ0ZqlIbmDgsLU1VVld/tVVVVzTrTD1VUVCgrK0tr1qzRihUrFB8f36xznfrh9cP90lzmC6QlS5aoTZs2GjVq1Gm3NbTPbOzT0NBQde7cWfPnz1dJSYkqKys1Z84cdezYUYmJieeQ6F%2Bys7N9V4tDQ0M1duxYXXjhhb7/YTfnY/Js2rRpI0l64IEHFBkZqQ4dOmjSpEnatGmTjDEB32fnw4cffqiioiINHz7ct3Y%2BjsdAeeutt7RhwwbddtttatOmjbp06aLMzEz97W9/c3WuxqBguVCXLl1UVlamI0eO%2BNb279%2BvSy65RG3btnVwsrNraO64uDjt27fP7zEFBQXq0qXL%2BR71nBQWFmrYsGGqqKjQ6tWrFR8fL0nNOle7du108cUXq6CgwLdWXFyssrKy0y7de82rr76qjz76SMnJyUpOTtbatWu1du1aJScnN7jPunTp4nd7TU2Nvvjiiyb/N5s7d64uu%2BwyDRo0SGlpaTpx4oSeeuopX5E4V%2BvXr9eBAwf83qH71Vdf%2Ba5UNudj8mw6d%2B6s%2Bvp61dTU%2BNbq6%2BslSVdccUWT9tkPb28uNmzYoLS0NL%2BryufreAyEb775xveOwVNCQkLUunVrV%2BdqFKdfBIZzM2LECDN58mRTXl7uezfewoULnR6rQWebu6SkxCQnJ5unn37aVFdXmy1btrjmBY1lZWXm%2BuuvN/fdd5%2Bpq6vzu6255/rLX/5iBg8ebAoLC33vIrz99tudHuu8y87O9r3IvaCgwCQkJJjXX3/d9%2B6mhIQE889//tMY890bMgYMGGD27Nnje3dTWlqaqa6udjKCz7hx40xqaqq57777TFVVlVm0aJFJTk42y5cvN8Y0nK%2B5qq6uNmlpaWbixImmoqLCfPvtt%2BaOO%2B4wmZmZDZ5np95VuGXLFt%2B7CHv16mVKS0sdTuVv8ODB5oUXXvBbc/PxuG/fPtO9e3fz5JNPmtraWlNYWGgGDx5sHn30UVfnagwKlksVFxebiRMnmt69e5u%2BffuaRx991O8dbM1VQ3Pv3LnTZGRkmKSkJPOLX/zC/Pd//7eD0zbe8uXLTVxcnLnqqqtMYmKi35cxzTtXdXW1mT9/vhkwYIDp2bOnueeee8yRI0ecHuu8%2B37BMsaYd9991/zqV78yiYmJZtCgQebvf/%2B777b6%2BnqzbNkyk5qaahITE82oUaOaVTkpLS01t99%2Bu7nyyitNYmKiiY%2BPN4sWLfK7z9nyNWeHDh0ykyZNMikpKSY5OdlMnz7dHD161BjT8Hn2yiuvmIEDB5rExEQzfPhw8%2BmnnzoR4awSExPPuC/cfDxu3rzZpKenm6uvvtpcf/31ZsGCBb53uLo5V0NaGWOM01fRAAAAvITXYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAlv0/Ln2uIxoPpkgAAAAASUVORK5CYII%3D"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common800038991921051243">
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">450.0</td>
<td class="number">17</td>
<td class="number">16.0%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">550.0</td>
<td class="number">14</td>
<td class="number">13.2%</td>
<td>
<div class="bar" style="width:82%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">750.0</td>
<td class="number">12</td>
<td class="number">11.3%</td>
<td>
<div class="bar" style="width:70%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">293.0</td>
<td class="number">12</td>
<td class="number">11.3%</td>
<td>
<div class="bar" style="width:70%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">308.0</td>
<td class="number">8</td>
<td class="number">7.5%</td>
<td>
<div class="bar" style="width:47%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">267.15</td>
<td class="number">7</td>
<td class="number">6.6%</td>
<td>
<div class="bar" style="width:41%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">350.0</td>
<td class="number">7</td>
<td class="number">6.6%</td>
<td>
<div class="bar" style="width:41%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">500.0</td>
<td class="number">6</td>
<td class="number">5.7%</td>
<td>
<div class="bar" style="width:35%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">525.0</td>
<td class="number">6</td>
<td class="number">5.7%</td>
<td>
<div class="bar" style="width:35%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">300.0</td>
<td class="number">3</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:18%"> </div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (5)</td>
<td class="number">7</td>
<td class="number">6.6%</td>
<td>
<div class="bar" style="width:41%"> </div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">7</td>
<td class="number">6.6%</td>
<td>
<div class="bar" style="width:41%"> </div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme800038991921051243">
<p class="h4">Minimum 5 values</p>
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">0.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:9%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">235.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:9%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">265.0</td>
<td class="number">3</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:25%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">267.15</td>
<td class="number">7</td>
<td class="number">6.6%</td>
<td>
<div class="bar" style="width:58%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">293.0</td>
<td class="number">12</td>
<td class="number">11.3%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr>
</table>
<p class="h4">Maximum 5 values</p>
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">500.0</td>
<td class="number">6</td>
<td class="number">5.7%</td>
<td>
<div class="bar" style="width:43%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">525.0</td>
<td class="number">6</td>
<td class="number">5.7%</td>
<td>
<div class="bar" style="width:43%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">550.0</td>
<td class="number">14</td>
<td class="number">13.2%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">750.0</td>
<td class="number">12</td>
<td class="number">11.3%</td>
<td>
<div class="bar" style="width:85%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">800.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:8%"> </div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4 pp-anchor" id="pp_var_Time">Time<br/>
<small>Numeric</small>
</p>
</div><div class="col-md-6">
<div class="row">
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Distinct count</th>
<td>13</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>12.3%</td>
</tr>
<tr class="alert">
<th>Missing (%)</th>
<td>9.4%</td>
</tr>
<tr class="alert">
<th>Missing (n)</th>
<td>10</td>
</tr>
<tr class="ignore">
<th>Infinite (%)</th>
<td>0.0%</td>
</tr>
<tr class="ignore">
<th>Infinite (n)</th>
<td>0</td>
</tr>
</table>
</div>
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Mean</th>
<td>9.3646</td>
</tr>
<tr>
<th>Minimum</th>
<td>0</td>
</tr>
<tr>
<th>Maximum</th>
<td>17</td>
</tr>
<tr class="alert">
<th>Zeros (%)</th>
<td>1.9%</td>
</tr>
</table>
</div>
</div>
</div>
<div class="col-md-3 collapse in" id="minihistogram8441030445442001501">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAAS1JREFUeJzt3NFpw0AUAME4uCQXkZ78nZ5cRHo6NxAWy%2BDoOZr5FxyI1bsTQqe11voAfvW59wJgsvPeC%2BDvXa63zdf8fH%2B9YCXzmSAQTJAX8qR%2BfyYIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUDw8%2Bph/PB6FhMEgkAg2GJt8Mz2h/dmgkAQCASBQBAIBIFAEAiEw77m9cqWR5ggEA47QdjmqN%2BIjQvkqDeCmcYFwnZTz1P/4WHnDALhtNZaey8CpjJBIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAINwBTpAe0otvIjkAAAAASUVORK5CYII%3D">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives8441030445442001501,#minihistogram8441030445442001501"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives8441030445442001501">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles8441030445442001501"
aria-controls="quantiles8441030445442001501" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram8441030445442001501" aria-controls="histogram8441030445442001501"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common8441030445442001501" aria-controls="common8441030445442001501"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme8441030445442001501" aria-controls="extreme8441030445442001501"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles8441030445442001501">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>0</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>5</td>
</tr>
<tr>
<th>Q1</th>
<td>8</td>
</tr>
<tr>
<th>Median</th>
<td>9</td>
</tr>
<tr>
<th>Q3</th>
<td>12</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>12</td>
</tr>
<tr>
<th>Maximum</th>
<td>17</td>
</tr>
<tr>
<th>Range</th>
<td>17</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>4</td>
</tr>
</table>
</div>
<div class="col-md-4 col-md-offset-2">
<p class="h4">Descriptive statistics</p>
<table class="stats indent">
<tr>
<th>Standard deviation</th>
<td>2.8878</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.30837</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>0.93842</td>
</tr>
<tr>
<th>Mean</th>
<td>9.3646</td>
</tr>
<tr>
<th>MAD</th>
<td>2.4006</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>-0.51254</td>
</tr>
<tr>
<th>Sum</th>
<td>899</td>
</tr>
<tr>
<th>Variance</th>
<td>8.3394</td>
</tr>
<tr>
<th>Memory size</th>
<td>928.0 B</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram8441030445442001501">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzt3XtcVXW%2B//G3sFW2IoopNTWd46RC4y3QRA1tRpLxlHfRtmWOmVqTpCcfXilHLSNyTKccjj0qdRwvjwMn08wGL1leOuUtUyMTbzWpcRQMVFCR2/r90S/GLaA4fdl7L/fr%2BXjw4LG/e/Ht81nruzfv1tosa1mWZQkAAADGBHi7AAAAgJsNAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGObwdgH%2BIicn3/icAQG11LhxfeXmXlBZmWV8fl9H//Tvz/1L7AP6p//q9N%2B0aQMPVvVPnMGysYCAWqpVq5YCAmp5uxSvoH/69%2Bf%2BJfYB/dO/L/dPwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwxzeLgAA4L8efO1Tb5dwQ9Y9G%2BPtEmATnMECAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGMaNRgF4HDeXBHCz4wwWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABjmtwFr%2B/btGjx4sNq3b6%2BYmBjNmjVLhYWFkqT9%2B/dr8ODBioqKUmxsrN555x0vVwsAAOzELwNWbm6unnrqKT3yyCP6/PPPtXr1au3atUtvvfWWzp07pyeffFL9%2B/fX7t27lZSUpOTkZH355ZfeLhsAANiEw9sFeEPjxo312WefKTg4WJZl6ezZs7p8%2BbIaN26sjRs3qlGjRho6dKgkqUuXLurTp49WrFihdu3aeblyAABgB355BkuSgoODJUm/%2Bc1v1KdPHzVt2lQDBw7UkSNHFB4e7rZtixYtlJmZ6Y0yAQCADfnlGawrbdy4UefOndPEiRM1btw43XrrrXI6nW7bBAUF6eLFi9WeMzs7Wzk5OW5jDkc9hYWFGan5J4GBAW7f/Q39%2B3f/nuRw%2BOY%2BZg14ni%2BtBX8//r7ev98HrKCgIAUFBWnSpEkaPHiwhg0bpvz8fLdtCgsLVb9%2B/WrPmZaWppSUFLexhIQEjRs3zkjNVwsJcV5/o5sY/ft3/54QGlr91783sAY8xxfXgr8ff1/t3y8D1hdffKHnnntO77//vurUqSNJKioqUu3atdWiRQt9%2BumnbtsfPXpULVu2rPb8LpdLsbGxbmMORz3l5V34%2BcVfITAwQCEhTp0/f0mlpWVG57YD%2Bvfv/j3J9GvXFNaA5/nSWvD341/d/r0Viv0yYEVERKiwsFBz587VhAkTlJOTo9mzZ2vQoEHq2bOn5s6dqyVLlmjo0KHas2eP1q5dqwULFlR7/rCwsAqXA3Ny8lVSUjMvgNLSshqb2w7o37/79wRf37%2BsAc/xxf3s78ffV/v3y4BVv359LVy4UC%2B//LJiYmLUoEED9enTRwkJCapTp44WL16spKQkzZ8/X40bN9a0adPUuXNnb5cNAABswi8DlvTjXwYuXry40ufatm2r1NRUD1cEAABuFr750XsAAAAbI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDC/DFiZmZkaMWKEoqOjFRMTo8mTJys3N1eSNGPGDLVp00ZRUVHlX2lpaV6uGAAA2InfBazCwkKNGjVKUVFR%2Bt///V998MEHOnv2rJ577jlJUkZGhmbNmqW9e/eWf7lcLi9XDQAA7MTvAlZWVpbuvvtuJSQkqE6dOgoNDZXL5dLu3btVVFSkw4cPq02bNt4uEwAA2JjD2wV42l133aWFCxe6jW3YsEGtW7dWZmamSkpKNH/%2BfO3Zs0cNGjRQfHy8Ro0apYCA6mfR7Oxs5eTkuI05HPUUFhZmpIefBAYGuH33N/Tv3/17ksPhm/uYNeB5vrQW/P34%2B3r/fhewrmRZll577TVt3rxZy5cv15kzZxQdHa1hw4Zp3rx5OnjwoBISEhQQEKBRo0ZVe960tDSlpKS4jSUkJGjcuHGmW5AkhYQ4a2Reu6B//%2B7fE0JD63u7hGtiDXiOL64Ffz/%2Bvtq/3wasgoICJSYm6sCBA1q%2BfLkiIiIUERGhmJiY8m3atWun4cOHKz09/YYClsvlUmxsrNuYw1FPeXkXjNUv/ZjaQ0KcOn/%2BkkpLy4zObQf079/9e5Lp164prAHP86W14O/Hv7r9eysU%2B2XAOn78uEaPHq3bb79dK1euVOPGjSVJmzZt0pkzZzRkyJDybYuKihQUFHRD84eFhVW4HJiTk6%2BSkpp5AZSWltXY3HZA//7dvyf4%2Bv5lDXiOL%2B5nfz/%2Bvtq/b164rEHnzp3T8OHD1b59ey1atKg8XEk/XjJMTk7W9u3bZVmW9u7dq6VLl/JXhAAA4Ib43RmsVatWKSsrS%2BvWrdP69evdntu7d68SExM1c%2BZMnT59Wk2aNNHYsWPVr18/L1ULAADsyO8C1ogRIzRixIgqnx8yZIjbJUIAAIAb5XeXCAEAAGoaAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYZruAVVpa6u0SAAAArsl2Aev%2B%2B%2B/Xn/70Jx09etTbpQAAAFTKdgHrmWee0RdffKHevXtr8ODBSk1NVX5%2BvrfLAgAAKGe7gPXII48oNTVV69ev13333ae3335bXbt21YQJE/TZZ595uzwAAAD7BayfNGvWTOPHj9f69euVkJCgjz76SCNHjlRsbKz%2B%2Bte/8lktAADgNQ5vF/Cv2r9/v9577z2lp6erqKhIcXFxGjhwoE6fPq3XX39dGRkZmjdvXqU/m5mZqdmzZ%2BvAgQOqXbu2YmJiNHXqVDVu3Fj79%2B/XSy%2B9pKNHjyo0NFRPP/20Bg8e7OHuAACAndkuYC1YsEBr1qzRd999p7Zt22r8%2BPHq3bu3goODy7cJDAzU9OnTK/35wsJCjRo1Sg8//LDefPNNXbhwQVOmTNFzzz2n2bNn68knn9S4cePkcrm0e/duJSQkKCIiQu3atfNUiwAAwOZsF7CWL1%2Buvn37atCgQWrRokWl2zRv3lwTJ06s9LmsrCzdfffdSkhIUGBgoOrUqSOXy6XJkydr48aNatSokYYOHSpJ6tKli/r06aMVK1YQsAAAQLXZLmBt27ZNBQUFOnv2bPlYenq6unTpotDQUElSq1at1KpVq0p//q677tLChQvdxjZs2KDWrVvryJEjCg8Pd3uuRYsWWrly5Q3VmJ2drZycHLcxh6OewsLCbmie6wkMDHD77m/o37/79ySHwzf3MWvA83xpLfj78ff1/m0XsL7%2B%2BmuNHj1aAwcO1JQpUyRJc%2BbMUXFxsRYvXlwhIF2LZVl67bXXtHnzZi1fvlxLly6V0%2Bl02yYoKEgXL168oRrT0tKUkpLiNpaQkKBx48bd0DzVFRLivP5GNzH69%2B/%2BPSE0tL63S7gm1oDn%2BOJa8Pfj76v92y5g/elPf9Lvfvc7jR8/vnxs06ZN%2BuMf/6hXXnlFixcvrtY8BQUFSkxM1IEDB7R8%2BXJFRETI6XRWuKdWYWGh6te/sReUy%2BVSbGys25jDUU95eRduaJ7rCQwMUEiIU%2BfPX1JpaZnRue2A/v27f08y/do1hTXgeb60Fvz9%2BFe3f2%2BFYtsFrAMHDig5OVl16tQpHwsMDNSTTz6pgQMHVmuO48ePa/To0br99tu1cuVKNW7cWJIUHh6uTz/91G3bo0ePqmXLljdUY1hYWIXLgTk5%2BSopqZkXQGlpWY3NbQf079/9e4Kv71/WgOf44n729%2BPvq/375oXLawgODtbx48crjJ86dUpBQUHX/flz585p%2BPDhat%2B%2BvRYtWlQeriQpLi5OZ86c0ZIlS1RcXKwdO3Zo7dq1io%2BPN9oDAAC4udnuDFbPnj01c%2BZMvfDCC2rXrp1q1aqljIwMvfjii4qLi7vuz69atUpZWVlat26d1q9f7/bc3r17tXjxYiUlJWn%2B/Plq3Lixpk2bps6dO9dUOwAA4CZku4A1YcIEnThxQk888YRq1apVPh4XF6fJkydf9%2BdHjBihESNGVPl827ZtlZqaaqRWAADgn2wXsJxOp9588019%2B%2B23OnTokGrXrq3mzZurWbNm3i4NAABAkg0D1k9%2B9atf6Ve/%2BpW3ywAAAKjAdgHr22%2B/1Ysvvqg9e/aouLi4wvMHDx70QlUAAAD/ZLuANXPmTGVlZWnixIlq0KCBt8sBAACowHYBa%2B/evfrb3/6mqKgob5cCAABQKdvdBys0NPSG76wOAADgSbYLWMOGDdO8efMq/JM2AAAAvsJ2lwi3bt2qffv2qVOnTrrlllvc/skcSfroo4%2B8VBkAAMCPbBewOnXqpE6dOnm7DAAAgCrZLmA988wz3i4BAADgmmz3GSxJyszMVGJiooYMGaLTp09rxYoV2rlzp7fLAgAAkGTDgPXVV19p8ODBOnnypL766isVFRXp4MGDeuKJJ7R582ZvlwcAAGC/gPXqq6/qiSee0LJly1S7dm1J0ksvvaTf//73SklJ8XJ1AAAANgxYX331lfr3719h/JFHHtE333zjhYoAAADc2S5g1a5dWwUFBRXGs7Ky5HQ6vVARAACAO9sFrB49emju3LnKy8srHzt27JiSkpL029/%2B1nuFAQAA/H%2B2C1hTpkxRYWGh7rvvPl26dEkDBw5U79695XA4NHnyZG%2BXBwAAYL/7YAUHBys1NVXbt2/X119/rbKyMoWHh6tbt24KCLBdXgQAADch2wWsn3Tp0kVdunTxdhkAAAAV2C5gxcbGqlatWlU%2Bz79FCAAAvM12AWvAgAFuAau4uFjfffedtm3bpmeffdaLlQEAAPzIdgFr7NixlY4vX75ce/bs0e9//3sPVwQAAODupvlUePfu3bV161ZvlwEAAHDzBKxdu3apbt263i4DAADAfpcIr74EaFmWCgoKdOjQIS4PAgAAn2C7gHX77bdX%2BCvC2rVra/jw4erTp4%2BXqgIAAPgn2wWsV155xdslAAAAXJPtAtbu3burvW3Hjh1rsBIAAIDK2S5gPf7447Isq/zrJz9dNvxprFatWjp48KBXagQAAP7NdgHrL3/5i5KTkzVlyhR17txZtWvX1v79%2BzVz5kw9%2Buij6t69u7dLBAAAfs52t2mYPXu2ZsyYoR49eig4OFh169ZVdHS0XnzxRS1evFh33HFH%2BRcAAIA32C5gZWdn6xe/%2BEWF8eDgYOXl5XmhIgAAAHe2C1iRkZGaN2%2BeCgoKysfOnj2rOXPmqEuXLl6sDAAA4Ee2%2BwzWtGnTNHz4cN1///1q1qyZJOnbb79V06ZNtXTpUu8WBwAAIBsGrObNmys9PV1r167VsWPHJEmPPvqoevXqJafT6eXqAAAAbBiwJCkkJESDBw/WyZMndeedd0r68W7uAAAAvsB2n8GyLEuvvvqqOnbsqN69e%2BvUqVOaMmWKEhMTVVxcfMPz5ebmKi4uTjt37iwfmzFjhtq0aaOoqKjyr7S0NJNtAACAm5jtAtayZcu0Zs0azZgxQ3Xq1JEk9ejRQx9//LFef/31G5prz549crlcOn78uNt4RkaGZs2apb1795Z/uVwuYz0AAICbm%2B0CVlpamqZPn66BAweW3739oYceUlJSkv7%2B979Xe57Vq1dr4sSJGj9%2BvNt4UVGRDh8%2BrDZt2hitGwAA%2BA/bfQbr5MmT%2BvWvf11hPCIiQmfOnKn2PF27dlWfPn3kcDjcQlZmZqZKSko0f/587dmzRw0aNFB8fLxGjRqlgIDq5dHs7Gzl5OS4jTkc9RQWFlbt%2BqojMDDA7bu/oX//7t%2BTHA7f3MesAc/zpbXg78ff1/u3XcC644479OWXX%2BqXv/yl2/jWrVvLP/BeHU2bNq10PD8/X9HR0Ro2bJjmzZungwcPKiEhQQEBARo1alS15k5LS1NKSorbWEJCgsaNG1ft%2Bm5ESIh///Uk/ft3/54QGlrf2yVcE2vAc3xxLfj78ffV/m0XsEaOHKkXXnhBp0%2BflmVZ2r59u1JTU7Vs2TIlJib%2B7PljYmIUExNT/rhdu3YaPny40tPTqx2wXC6XYmNj3cYcjnrKy7vws%2Bu7UmBggEJCnDp//pJKS8uMzm0H9O/f/XuS6deuKawBz/OlteDvx7%2B6/XsrFNsuYMXHx6ukpERvvPGGCgsLNX36dN1yyy0aP368HnnkkZ89/6ZNm3TmzBkNGTKkfKyoqEhBQUHVniMsLKzC5cCcnHyVlNTMC6C0tKzG5rYD%2Bvfv/j3B1/cva8BzfHE/%2B/vx99X%2BbRew3n//ff3Hf/yHXC6XcnNzZVmWbrnlFmPzW5al5ORk/fu//7s6d%2B6sffv2aenSpUbOjgEAAP9gu4D10ksvqXXr1mrYsKEaN25sfP64uDglJiZq5syZOn36tJo0aaKxY8eqX79%2Bxv9bAADg5mS7gNWsWTMdOnRIzZs3NzbnoUOH3B4PGTLE7RIhAADAjbBdwGrZsqUmTpyohQsXqlmzZqpbt67b88nJyV6qDAAA4Ee2C1jHjx9Xhw4dJKnCvaYAAAB8gS0CVnJysv7zP/9T9erV07Jly7xdDgAAwDX55u1Pr7J06VJdunTJbWzkyJHKzs72UkUAAABVs0XAsiyrwtgXX3yhy5cve6EaAACAa7NFwAIAALATAhYAAIBhtglYtWrV8nYJAAAA1WKLvyKUfryD%2B5X3vCouLtacOXNUv777P%2BLIfbAAAIC32SJgdezYscI9r6KiopSXl6e8vDwvVQUAAFA5WwQs7n0FAADsxDafwQIAALALAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIY5vF0AAPi6B1/71Nsl3JB1z8Z4uwTA73EGCwAAwDACFgAAgGEELAAAAMMIWAAAAIb5dcDKzc1VXFycdu7cWT62f/9%2BDR48WFFRUYqNjdU777zjxQoBAIAd%2BW3A2rNnj1wul44fP14%2Bdu7cOT355JPq37%2B/du/eraSkJCUnJ%2BvLL7/0YqUAAMBu/DJgrV69WhMnTtT48ePdxjdu3KhGjRpp6NChcjgc6tKli/r06aMVK1Z4qVIAAGBHfhmwunbtqg8//FAPPfSQ2/iRI0cUHh7uNtaiRQtlZmZ6sjwAAGBzfnmj0aZNm1Y6fuHCBTmdTrexoKAgXbx48Ybmz87OVk5OjtuYw1FPYWFhN1bodQQGBrh99zf079/9o2oOB2uipvjSvvX39wBf798vA1ZVnE6n8vPz3cYKCwtVv379G5onLS1NKSkpbmMJCQkaN27cz66xMiEhzutvdBOjf//uHxWFht7Yexaqzxf3rb%2B/B/hq/wSsK4SHh%2BvTT93/SYyjR4%2BqZcuWNzSPy%2BVSbGys25jDUU95eRd%2Bdo1XCgwMUEiIU%2BfPX1JpaZnRue2A/v27f1TN9HsN/smX9q2/vwdUt39vhWIC1hXi4uI0Z84cLVmyREOHDtWePXu0du1aLViw4IbmCQsLq3A5MCcnXyUlNfMCKC0tq7G57YD%2B/bt/VMR6qDm%2BuG/9/T3AV/v3zQuXXhIaGqrFixdr/fr16tSpk6ZNm6Zp06apc%2BfO3i4NAADYiN%2BfwTp06JDb47Zt2yo1NdVL1QAAgJsBZ7AAAAAMI2ABAAAYRsACAAAwjIAFAABgmN9/yB24WTz42qfX3wgA4BGcwQIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2BVIj09Xa1atVJUVFT516RJk7xdFgAAsAmHtwvwRRkZGerXr5%2BSk5O9XQoAALAhzmBVIiMjQ23atPF2GQAAwKY4g3WVsrIyHThwQE6nUwsXLlRpaal%2B85vfaOLEiWrYsKG3ywMAADZAwLpKbm6uWrVqpZ49e2r%2B/PnKy8vTlClTNGnSJL311lvVmiM7O1s5OTluYw5HPYWFhRmtNTAwwO27v6F//%2B4fVXM4WBM1xZf2rb%2B/B/h6/wSsqzRp0kQrVqwof%2Bx0OjVp0iQ9/PDDKigoUHBw8HXnSEtLU0pKittYQkKCxo0bZ7xeSQoJcdbIvHZB//7dPyoKDa3v7RJuWr64b/39PcBX%2BydgXSUzM1MffPCBJkyYoFq1akmSioqKFBAQoDp16lRrDpfLpdjYWLcxh6Oe8vIuGK01MDBAISFOnT9/SaWlZUbntgP69%2B/%2BUTXT7zX4J1/at/7%2BHlDd/r0ViglYV2nUqJFWrFihhg0basSIEcrOztacOXM0YMCAagessLCwCpcDc3LyVVJSMy%2BA0tKyGpvbDujfv/tHRayHmuOL%2B9bf3wN8tX/fvHDpRbfddpvefPNNffTRR4qOjlZ8fLzatm2r6dOne7s0AABgE5zBqkR0dLRSU1O9XQYAALApzmABAAAYRsACAAAwjIAFAABgGAELAADAMD7kDlThwdc%2B9XYJAACb4gwWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDBuNAoAQDXZ7QbE656N8XYJfoszWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGcSd3m7v3%2BfXeLqHauKMwAMBfcAYLAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBg3GgWAm8yDr33q7RLgI%2By0Fm62m1FzBgsAAMAwAhYAAIBhBCwAAADDCFiV%2BOGHHzRmzBjde%2B%2B96tSpk5KSklRSUuLtsgAAgE0QsCrx7LPPql69evrkk0%2B0cuVKbd%2B%2BXUuWLPF2WQAAwCYIWFf57rvvtGvXLk2aNElOp1N33nmnxowZoxUrVni7NAAAYBMErKscOXJEjRo10q233lo%2B1rx5c2VlZen8%2BfNerAwAANgF98G6yoULF%2BR0Ot3Gfnp88eJFhYSEXHeO7Oxs5eTkuI05HPUUFhZmrlBJgYH2yscOh9l6f%2BrfbvsBAFDRjf6O8PXfAQSsq9SrV0%2BXLl1yG/vpcf369as1R1pamlJSUtzGnnnmGY0dO9ZMkf9fdna2ht92RC6Xy3h4s4Ps7Gz97W8La6z/z5P%2Bw/icJmVnZystLc2vj78/9y%2BxD%2Bif/mvyd8DP5Zuxz4tatmyps2fP6syZM%2BVjx44d02233aYGDRpUaw6Xy6VVq1a5fblcLuO15uTkKCUlpcLZMn9B//Tvz/1L7AP6p39f7p8zWFdp1qyZOnTooJdfflkvvvii8vLytGDBAg0aNKjac4SFhflkmgYAAJ7BGaxKzJ8/XyUlJXrggQf08MMPq1u3bhozZoy3ywIAADbBGaxKNGnSRPPnz/d2GQAAwKYCZ86cOdPbReBfV79%2BfUVHR1f7A/g3G/qnf3/uX2If0D/9%2B2r/tSzLsrxdBAAAwM2Ez2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNg%2BbgffvhBY8aM0b333qtOnTopKSlJJSUllW67detW9enTR5GRkXrwwQe1efNmD1drXmZmpkaMGKHo6GjFxMRo8uTJys3NrXTbUaNGqW3btoqKiir/2rZtm4crNis9PV2tWrVy62nSpEmVbrt69WrFxcUpMjJSAwcO1N69ez1crVnvv/%2B%2BW99RUVFq06aN2rRpU%2Bn2Dz74oO655x637Y8dO%2Bbhqs3Jzc1VXFycdu7cWT62f/9%2BDR48WFFRUYqNjdU777xzzTnefvtt3X///YqMjNSwYcP0zTff1HTZxlTW/4YNG9SvXz%2B1b99esbGxSklJUVlZWaU/X1ZWpqioKEVGRrqtiYsXL3qqhZ%2Blsv5nzJihNm3auPWTlpZW6c%2BXlpZq9uzZuu%2B%2B%2BxQVFaWnn35a2dnZnir/Z7u6/%2BnTp1d4P/j1r3%2BtkSNPYO6TAAALI0lEQVRHVvrzZ86cUUREhNv2sbGxnmxBsuDTHnvsMWvChAnWxYsXrePHj1u9evWy3n777Qrbffvtt1bbtm2tDz/80CouLrb%2B/ve/W%2B3atbNOnTrlharNuHTpkhUTE2O9/vrr1uXLl63c3Fxr9OjR1lNPPVXp9p06dbJ27tzp4Spr1iuvvGJNnTr1utvt2LHDioqKsj7//HOrqKjI%2Butf/2p16tTJunjxogeq9IxTp05ZMTEx1nvvvVfhufz8fCsiIsI6efKkFyoz7/PPP7d69OhhhYeHWzt27LAsy7LOnj1rRUdHW8uXL7eKi4utzz77zIqKirL2799f6RyrVq2yunXrZh0%2BfNgqLCy0kpOTrV69elllZWWebOVfUln/GRkZVrt27ayPP/7YKi0ttY4ePWp1797dWrRoUaVzHDp0yGrdurV1%2BfJlT5ZuRGX9W5ZlDRgwwFq1alW15vjLX/5i9enTx8rKyrLy8/OtZ5991ho9enRNlWxUVf1f6ZNPPrGio6Otw4cPV/r8xx9/bHXv3r0my7wuzmD5sO%2B%2B%2B067du3SpEmT5HQ6deedd2rMmDFasWJFhW1Xr16te%2B%2B9Vz169JDD4dBDDz2kjh07Vvl/N3aQlZWlu%2B%2B%2BWwkJCapTp45CQ0Plcrm0e/fuCtueOHFC586dU6tWrbxQac3JyMio8ozNld555x316tVLHTp0UO3atfX4448rNDRU6enpHqiy5lmWpUmTJum3v/2t%2BvXrV%2BH5r776So0aNdIdd9zhherMWr16tSZOnKjx48e7jW/cuFGNGjXS0KFD5XA41KVLF/Xp06fS9wNJ%2Bp//%2BR89%2BuijatmyperWrasJEyYoKyvL7YyIL6qq/%2B%2B//15DhgxR9%2B7dFRAQoObNmysuLq7S9wPpx9dORESE6tSp44myjamq/6KiIh0%2BfLha7wfSj%2B8Jo0eP1i9%2B8QsFBwfr%2Beef17Zt23TixImaKNuYqvq/Um5uriZOnKjnn39eLVu2rHSb6r531iQClg87cuSIGjVqpFtvvbV8rHnz5srKytL58%2Bfdtj169KjCw8Pdxlq0aKHMzEyP1FoT7rrrLi1cuFCBgYHlYxs2bFDr1q0rbJuRkaH69etr/Pjx6ty5s3r37q2VK1d6slzjysrKdODAAW3ZskXdu3fX/fffrz/%2B8Y86d%2B5chW1vxuN/pTVr1ujo0aOaOnVqpc9nZGTI6XTqscceU6dOnTRw4EDbXiLv2rWrPvzwQz300ENu40eOHLmhY3z1mqhdu7aaNWvm82uiqv579uypxMTE8seFhYXasmVLpe8H0o9r4vLly4qPj1fnzp01dOhQffHFFzVauwlV9Z%2BZmamSkhLNnz9f9913n3r27Km33nqr0kuk%2Bfn5OnXqlNvxb9KkiRo2bKhDhw7VeA8/R1X9X%2BnVV19VmzZt1Ldv3yq3ycjI0KlTp9S7d2917txZo0eP1tGjR2ui5CoRsHzYhQsX5HQ63cZ%2Benz15wgq2zYoKMg2nze4Hsuy9Oc//1mbN2/W888/X%2BH5oqIiRUZGavz48frkk080depUJSUlad26dV6o1ozc3Fy1atVKPXv2VHp6ulJTU/WPf/yj0s9g3czHv6ysTG%2B88Yb%2B8Ic/KDg4uNJtatWqpbZt2%2Bqll17SJ598oscff1xjx47Vvn37PFztz9e0aVM5HI4K4zd6jO26Jqrq/0oFBQVKSEhQUFCQHn/88Uq3CQoKUrt27bRgwQJt2bJFsbGxGjlypM%2Bfwamq//z8fEVHR2vYsGHaunWr5syZo2XLlmnx4sUVtr1w4YIkqV69em7jQUFB5c/5qusd/xMnTuj999/XhAkTrjlPSEiIOnTooKVLl2rTpk1q1qyZRowYofz8fNMlV%2BnaqxheVa9ePV26dMlt7KfH9evXdxt3Op0qLCx0GyssLKywnR0VFBQoMTFRBw4c0PLlyxUREVFhm/79%2B6t///7lj7t27ar%2B/ftr3bp1evDBBz1ZrjFNmjRxu/zjdDo1adIkPfzwwyooKHALG1Ud/9DQUI/VW1N27typ7OxsDRo0qMptRo0a5fa4b9%2B%2B%2BuCDD7RhwwZFRkbWdIke4XQ6K/xyuNZr/GZ9T/jmm280btw43XLLLVq6dGmVofvqs50jR47UqlWrtHXrVj322GOeKNWomJgYxcTElD9u166dhg8frvT09Arr/6dgffXvj5vh%2BL/77rvlH3C/lrlz57o9TkxM1LvvvqvPP/9c3bt3r8kSy3EGy4e1bNlSZ8%2Be1ZkzZ8rHjh07pttuu00NGjRw2zY8PFxHjhxxGzt69GiV16ft4vjx44qPj1dBQYFWrlxZabiSpJUrV1Y4W1VUVKS6det6oswakZmZqVdffVWWZZWPFRUVKSAgoMLnSlq2bHlTHn/px8vCcXFxFf5v/EqLFi3S9u3b3cbsfvyvdqOv8avXRHFxsf7xj39UuMxoJ1u3btXgwYPVrVs3LVq0SA0bNqxy2z//%2Bc/6%2Buuv3cbsvCY2bdqk1NRUt7GioiIFBQVV2LZhw4a69dZb3S6J5eTk6OzZs7Y%2B/tKPn0Ws7HOYVyooKNDs2bP1/fffl4%2BVlpaqpKSk0v1VUwhYPqxZs2bq0KGDXn75ZRUUFOjEiRNasGBBpf8n37dvX%2B3atUvp6ekqKSlRenq6du3add2F6MvOnTun4cOHq3379lq0aJEaN25c5bYFBQWaNWuWvv76a5WVlWnLli364IMP5HK5PFixWY0aNdKKFSu0cOFClZSUKCsrS3PmzNGAAQMqBKxBgwZp7dq12rFjh4qLi7VkyRL98MMPiouL81L15uzZs0cdO3a85jb/93//pxdeeEEnTpxQSUmJVq5cqb1792rAgAEeqrLmxcXF6cyZM1qyZImKi4u1Y8cOrV27VvHx8ZVuHx8fr%2BXLlyszM1OXL1/W3Llz1aRJE917770ertyMffv2KSEhQYmJiZoyZcp1LyMePnxYSUlJysnJUVFRkVJSUlRQUGDb14RlWUpOTtb27dtlWZb27t2rpUuXVvkeN3DgQL3xxhs6ceKECgoK9PLLLys6Olr/9m//5uHKzcnLy9OxY8eu%2B34QHByszz77TLNnz1Z%2Bfr4uXLigWbNm6Ze//KVn179X/4YR15WTk2ONHTvWio6Otjp37my98sorVklJiWVZlhUZGWmtWbOmfNtt27ZZffv2tSIjI61evXpZW7Zs8VbZRixevNgKDw%2B37rnnHisyMtLty7Lc%2By8rK7P%2B67/%2By%2BrevbvVrl07q1evXta6deu8Wb4RO3futFwulxUVFWV17tzZmjVrllVYWGh9//33VmRkpLV79%2B7ybd977z2rZ8%2BeVmRkpDVo0CBr3759XqzcnMjIyApr%2Ber%2BL1%2B%2BbCUlJVldu3a17rnnHis%2BPr7KP%2B%2B2k6v/TP3LL78sXw8PPPCA9e6775Y/t3v3bisyMtL6/vvvLcv68TWxaNEiKzY21oqMjLSGDRtmffPNNx7v4ee4sv%2BnnnrKioiIqPBeMHLkSMuyKvafl5dnTZ061erSpUt5/wcPHvRaL/%2BKq4//f//3f1u/%2B93vrHvuucd64IEHrOXLl5c/t2bNmvL3RsuyrKKiImvOnDlWt27drPbt21tPP/20debMGY/W/3NVtv7Dw8OtS5cuVdj26v5PnjxpJSQkWNHR0VZUVJT1hz/8weO3callWVdcfwAAAMDPxiVCAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMCw/wdPn9vkTg3gXAAAAABJRU5ErkJggg%3D%3D"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common8441030445442001501">
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">12.0</td>
<td class="number">33</td>
<td class="number">31.1%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">8.0</td>
<td class="number">29</td>
<td class="number">27.4%</td>
<td>
<div class="bar" style="width:88%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">6.0</td>
<td class="number">9</td>
<td class="number">8.5%</td>
<td>
<div class="bar" style="width:27%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">10.0</td>
<td class="number">8</td>
<td class="number">7.5%</td>
<td>
<div class="bar" style="width:25%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">14.0</td>
<td class="number">3</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:10%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">7.0</td>
<td class="number">3</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:10%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">9.0</td>
<td class="number">3</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:10%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">5.0</td>
<td class="number">3</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:10%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">0.0</td>
<td class="number">2</td>
<td class="number">1.9%</td>
<td>
<div class="bar" style="width:7%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">17.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:4%"> </div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (2)</td>
<td class="number">2</td>
<td class="number">1.9%</td>
<td>
<div class="bar" style="width:7%"> </div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">10</td>
<td class="number">9.4%</td>
<td>
<div class="bar" style="width:31%"> </div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme8441030445442001501">
<p class="h4">Minimum 5 values</p>
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">0.0</td>
<td class="number">2</td>
<td class="number">1.9%</td>
<td>
<div class="bar" style="width:23%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">4.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:12%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">5.0</td>
<td class="number">3</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:34%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">6.0</td>
<td class="number">9</td>
<td class="number">8.5%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">7.0</td>
<td class="number">3</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:34%"> </div>
</td>
</tr>
</table>
<p class="h4">Maximum 5 values</p>
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">10.0</td>
<td class="number">8</td>
<td class="number">7.5%</td>
<td>
<div class="bar" style="width:25%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">11.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:4%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">12.0</td>
<td class="number">33</td>
<td class="number">31.1%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">14.0</td>
<td class="number">3</td>
<td class="number">2.8%</td>
<td>
<div class="bar" style="width:10%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">17.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:4%"> </div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4 pp-anchor" id="pp_var_Tip">Tip<br/>
<small>Numeric</small>
</p>
</div><div class="col-md-6">
<div class="row">
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Distinct count</th>
<td>20</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>18.9%</td>
</tr>
<tr class="alert">
<th>Missing (%)</th>
<td>62.3%</td>
</tr>
<tr class="alert">
<th>Missing (n)</th>
<td>66</td>
</tr>
<tr class="ignore">
<th>Infinite (%)</th>
<td>0.0%</td>
</tr>
<tr class="ignore">
<th>Infinite (n)</th>
<td>0</td>
</tr>
</table>
</div>
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Mean</th>
<td>105.36</td>
</tr>
<tr>
<th>Minimum</th>
<td>0</td>
</tr>
<tr>
<th>Maximum</th>
<td>1000</td>
</tr>
<tr class="alert">
<th>Zeros (%)</th>
<td>18.9%</td>
</tr>
</table>
</div>
</div>
</div>
<div class="col-md-3 collapse in" id="minihistogram1787513254207873694">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAARxJREFUeJzt3cEJwkAARUEVS7IIe/JsTxZhT%2Btd5GECITHO3AObw%2BOTveQ4xhgH4KPT2geALTuvfYB3l9tj8jPP%2B3WBk4AFgSQQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBsLk/TM3hr1QsxYJAEAgEgUAQCASBQBAIhF1c887haphvWBAIf7sgc0xdHYvz%2BywIBAuyMXv6NtrDu1gQCMcxxlj7ELBVFgSCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCATCC9qeGpfsyJQsAAAAAElFTkSuQmCC">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives1787513254207873694,#minihistogram1787513254207873694"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives1787513254207873694">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles1787513254207873694"
aria-controls="quantiles1787513254207873694" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram1787513254207873694" aria-controls="histogram1787513254207873694"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common1787513254207873694" aria-controls="common1787513254207873694"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme1787513254207873694" aria-controls="extreme1787513254207873694"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles1787513254207873694">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>0</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>0</td>
</tr>
<tr>
<th>Q1</th>
<td>0</td>
</tr>
<tr>
<th>Median</th>
<td>20</td>
</tr>
<tr>
<th>Q3</th>
<td>152.5</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>395.5</td>
</tr>
<tr>
<th>Maximum</th>
<td>1000</td>
</tr>
<tr>
<th>Range</th>
<td>1000</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>152.5</td>
</tr>
</table>
</div>
<div class="col-md-4 col-md-offset-2">
<p class="h4">Descriptive statistics</p>
<table class="stats indent">
<tr>
<th>Standard deviation</th>
<td>186.56</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>1.7706</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>13.44</td>
</tr>
<tr>
<th>Mean</th>
<td>105.36</td>
</tr>
<tr>
<th>MAD</th>
<td>117.26</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>3.2781</td>
</tr>
<tr>
<th>Sum</th>
<td>4214.5</td>
</tr>
<tr>
<th>Variance</th>
<td>34805</td>
</tr>
<tr>
<th>Memory size</th>
<td>928.0 B</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram1787513254207873694">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAIABJREFUeJzt3X9QVXX%2Bx/EXcCWvGilj5FbbliE6KSVFaJHZUpblOmJl2Ji5rL82SdZWEQ2n34S7bmpEWspmX5NdTUczLbUf47RlVv5aZVzJn8W2bIICigIicL5/tN66ogL5OR4OPB8z/sG5l9Obd9fbs3MvEGBZliUAAAAYE%2Bj0AAAAAM0NgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGCYx%2BkBWoqiojLj5wwMDFBoaFsVFx9Xba1l/PwtGbu1D7u1F/u1D7u1j527vfTSi42er6G4guVigYEBCggIUGBggNOjNDvs1j7s1l7s1z7s1j7NcbcEFgAAgGEEFgAAgGEEFgAAgGEEFgAAgGEEFgAAgGEEFgAAgGEEFgAAgGEEFgAAgGEEFgAAgGEEFgAAgGEEFgAAgGEEFgAAgGEEFgAAgGEepwfA%2BYlOW%2Bv0CA22ZkKs0yMAAHBBcAULAADAMAILAADAMAILAADAMAILAADAMAILAADAMAILAADAsBYZWHl5eUpMTFRMTIxiY2M1efJkFRcXS5Kefvpp9ejRQ1FRUb4/S5YscXhiAADgJi0usCorKzVq1ChFRUXps88%2B0%2BrVq1VaWqonn3xSkpSbm6vnn39e27Zt8/1JSEhweGoAAOAmLS6wCgoK1K1bNyUlJSk4OFgdOnRQQkKCNm3apKqqKu3evVs9evRwekwAAOBiLS6wOnfurOzsbAUFBfmOrVu3Tt27d1deXp6qq6uVmZmpW2%2B9Vffcc4/mzZun2tpaBycGAABu06J/VY5lWZo9e7bWr1%2BvRYsW6dChQ4qJidHw4cM1c%2BZM7dq1S0lJSQoMDNSoUaMafN7CwkIVFRX5HfN42igsLMzo/EFB7upjj8c9857ardt27Abs1l7s1z7s1j7NcbcBlmVZTg/hhGPHjmnq1KnauXOn5s6dq65du57xftnZ2Xr//fe1fPnyBp/7lVdeUVZWlt%2BxpKQkJScnn9fMZ%2BKm30W4Ob2/0yMAAHBBtMgrWPn5%2BRo9erQuv/xyLVu2TKGhoZKkjz76SIcOHdLQoUN9962qqlLr1q0bdf6EhATFxcX5HfN42qik5Pj5D/8Tbit901%2B/nYKCAhUS4tXRoxWqqeElYpPYrb3Yr33YrX3s3G2HDm2Nnq%2BhWlxgHTlyRCNGjFDv3r2Vnp6uwMAfI8WyLGVkZOhXv/qVevfurX/%2B859auHChpk6d2qh/RlhYWJ2XA4uKylRd3bL/Qrrx66%2BpqXXl3G7Abu3Ffu3Dbu3TnHbb4gJr%2BfLlKigo0Jo1a7R2rf/La9u2bdPUqVP1zDPP6ODBg%2BrYsaPGjx%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%2BmxAQCAi7S4wCooKFC3bt2UlJSk4OBgdejQQQkJCdq0aZM%2B%2BOADtW/fXsOGDZPH49Ett9yigQMHKicnx%2BmxAQCAi7S4wOrcubOys7MVFBTkO7Zu3Tp1795de/bsUUREhN/9w8PDlZeXd6HHBAAALuZxegAnWZal2bNna/369Vq0aJEWLlwor9frd5/WrVurvLy8UectLCxUUVGR3zGPp43CwsLOe%2BafCgpyVx97PO6Z99Ru3bZjN2C39mK/9mG39mmOu22xgXXs2DFNnTpVO3fu1KJFi9S1a1d5vV6VlZX53a%2ByslJt27Zt1LmXLFmirKwsv2NJSUlKTk4%2B77ndrEOHxu2xKQgJ8dZ/J/ws7NZe7Nc%2B7NY%2BzWm3LTKw8vPzNXr0aF1%2B%2BeVatmyZQkNDJUkRERHasGGD33337t2rLl26NOr8CQkJiouL8zvm8bRRScnx8xv8NG4rfdNfv52CggIVEuLV0aMVqqmpdXqcZoXd2ov92ofd2sfO3Tr1P/ctLrCOHDmiESNGqHfv3kpPT1dg4I%2BR0q9fP82YMUNvvvmmhg0bpi1btmjVqlWaM2dOo/4ZYWFhdV4OLCoqU3V1y/4L6cavv6am1pVzuwG7tRf7tQ%2B7tU9z2m2LC6zly5eroKBAa9as0dq1a/1u27Ztm9544w2lp6crMzNToaGhmjZtmnr37u3QtAAAwI1aXGAlJiYqMTHxrLdHRkZq8eLFF3AiAADQ3LjrTTwAAAAuQGABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAY5prAuv/%2B%2B5WTk6MjR444PQoAAMA5uSawbr31Vs2fP199%2BvTRhAkT9Omnn8qyLKfHAgAAqMM1gTVp0iStX79ec%2BfOVatWrZScnKy%2Bfftq1qxZOnDggNPjAQAA%2BHicHqAxAgICFBsbq9jYWFVUVOitt97SnDlzNG/ePN14440aMWKE7r77bqfHBAAALZyrAkuSCgsL9e677%2Brdd9/V7t27deONN2rw4ME6ePCgpk2bpk2bNiktLc3pMQEAQAvmmsBauXKlVq5cqS%2B//FKhoaGKj49XZmamrr76at99OnXqpPT0dAILAAA4yjWBlZaWpl//%2Btd69dVXdfvttyswsO7bx6655hoNGzbMgekAAAB%2B5JrA%2Bsc//qH27durtLTUF1fbtm1Tjx491KpVK0nSTTfdpJtuusnJMQEAANzzXYRlZWW6%2B%2B67NX/%2BfN%2BxsWPHKj4%2BXv/9738dnAwAAMCfawIrPT1d4eHhGjlypO/Y2rVrdeWVVyojI8PByQAAAPy5JrC2bt2q1NRUdezY0XcsNDRUkyZN0hdffNGoc73//vu67rrrFBUV5fuTkpJiemQAANBCueY9WB6PRyUlJbrmmmv8jldUVDT6XLm5uRo0aBBXvgAAgC1ccwWrb9%2B%2BeuGFF/Ttt9/6jv373//Wiy%2B%2BqD59%2BjTqXLm5uerRo4fpEQEAACS56ApWamqqfve736l///4KCQmRJB09elTdu3fXlClTGnye2tpa7dy5U16vV9nZ2aqpqVHfvn01adIkXXLJJUZmLSwsVFFRkd8xj6eNwsLCjJz/lKAg1/SxJMnjcc%2B8p3brth27Abu1F/u1D7u1T3PcbYDlot%2BYXFNTo40bN2r37t3yeDwKDw/XLbfcooCAgAaf49ChQ/rDH/6gwYMHa8CAASopKVFqaqq8Xq/mzZtnZM5XXnlFWVlZfseSkpKUnJxs5Pw/FZ221vg57bI5vb/TIwAAcEG4KrDssmPHDj300EPavHmz2rVrd97nu5BXsOL%2B9InRc9rpw0mNeynXSUFBgQoJ8ero0QrV1NQ6PU6zwm7txX7tw27tY%2BduO3Roa/R8DeWalwgPHz6sWbNmacuWLTp58qRO78KPP/64QefJy8vT6tWrNXHiRN%2BVr6qqKgUGBio4ONjIrGFhYXViqqioTNXVLfsvpBu//pqaWlfO7Qbs1l7s1z7s1j7NabeuCaynnnpKmzdvVnx8vC6%2B%2BOKffZ727dsrJydHl1xyiRITE1VYWKgZM2Zo8ODBxgILAAC0bK4JrA0bNujVV19VbGzseZ2nU6dOev311zVz5kzNnTtXF110kQYMGMDPwQIAAMa4JrDatGmjX/ziF0bOFRMTo8WLFxs5FwAAwOlc8/2Q8fHx%2Butf/6qamhqnRwEAADgn11zBOnTokNasWaP169frqquuqvN%2BqYULFzo0GQAAgD/XBFZQUJB%2B85vfOD0GAABAvVwTWPzeQAAA4BaueQ%2BW9MMP8MzKytLEiRN1%2BPBhrVmzRvv27XN6LAAAAD%2BuCaxvv/1WAwcO1IoVK7Ru3TqVl5drzZo1evDBB7V161anxwMAAPBxTWBNnz5dd911lz766CO1atVKkjRr1izdddddmjlzpsPTAQAA/Mg1gbVt2zYlJib6/WLnoKAg/f73v9euXbscnAwAAMCfawKrpqZGtbV1fz/RsWPHFBQU5MBEAAAAZ%2BaawLrttts0d%2B5cvx80WlJSohkzZqh3794OTgYAAODPNYE1ZcoU/etf/9Ktt96qEydO6LHHHlNcXJz%2B85//KDU11enxAAAAfFzzc7Auu%2BwyvfPOO1q9erV27dql2tpaPfzwwxo0aJDatWvn9HgAAAA%2BrgksSfJ6vRoyZIjTYwAAAJyTawLr0UcfPeft/C5CAADQVLgmsK644gq/j0%2BePKn8/Hzt3r1bv/3tb50ZCgAA4AxcE1hn%2B12EmZmZOnz48AWeBgAA4Oxc812EZzN48GCtWbPG6TEAAAB8XB9Ye/fulWVZTo8BAADg45qXCKdOnVrnWFlZmTZs2KD%2B/fs7MBEAAMCZuSawvvvuuzrHgoODNXLkSCUmJjowEQAAwJm5JrDeeustp0cAAABoENcEVkFBQYPve/nll9s4CQAAwLm5JrDi4uIUEBBwzvtYlqWAgADt2rXrAk0FAABQl2sCa/bs2Xr%2B%2Bec1ZswY9erVS61atdKOHTs0c%2BZMDR8%2BXD179nR6RAAAAEkuCqzXXntN06ZN07333us7du211yo0NFR//vOfNWbMGAenAwAA%2BJFrfg7WgQMH1K1btzrHr7zyyjN%2BhyEAAIBTXBNY3bp104IFC1RbW%2Bs7Vl1drddee0033HCDg5MBAAD4c81LhCkpKRo1apQ2bNig7t27y7Is5ebmqrKyUgsXLnR6PAAAAB/XXMGKjo7Wu%2B%2B%2Bq3vuuUcnTpxQVVWVBg8erJUrVyoiIsLp8QAAAHxccwVLkq666ipNnjxZVVVVatWqVb0/tgEAAMAJrrmCJUl///vfdeedd6pnz5767rvv9PTTTysrK8vpsQAAAPy4JrBWrVqll156SfHx8WrVqpWkH35Mw7x58zR//nyHpwMAAPiRawLrjTfeUFpamsaPH6/AwB/GfvTRR/Xss89q6dKlDk8HAADwI9cE1oEDBxQdHV3neHR0tL7//nsHJgIAADgz1wRWx44dtX///jrHt27dqrCwMAcmAgAAODPXBFZCQoKeffZZffDBB5Kk/fv3629/%2B5tefPFFPfDAAw5PBwAA8CPX/JiG0aNHq6ysTCkpKTpx4oTGjh0rj8ejoUOHauzYsU6PBwAA4OOawJKkP/7xj3rssce0d%2B9eWZalzp07q127dk6PBQAA4KdJv0SYkZGh8vJyv2Ner1eRkZG6/vrriSsAANAkNenAWrhwoSoqKvyOjRw5UoWFhQ5NBAAAUL8mHViWZdU5tnXrVp04ccKBaQAAABqmSQcWAACAGxFYAAAAhjX5wAoICHB6BAAAgEZp8j%2Bm4YUXXtBFF13k%2B/jkyZOaMWOG2rZt63e/jIyMCz0aAADAGTXpwLr55ptVVFTkdywqKkolJSUqKSlxaCoAAIBza9KB9dZbbzk9AgAAQKM1%2BfdgAQAAuE2LDqzi4mL169dPX375pe/Y9u3bNWTIEEVFRSkuLk5Lly51cEIAAOBGLTawtmzZooSEBOXn5/uOHTlyRGPGjFF8fLw2bdqk9PR0ZWRkaMeOHQ5OCgAA3KZFBtaKFSs0adIkPfHEE37HP/jgA7Vv317Dhg2Tx%2BPRLbfcooEDByonJ8ehSQEAgBu1yMC67bbb9OGHH%2Bq%2B%2B%2B7zO75nzx5FRET4HQsPD1deXt6FHA8AALhck/4uQrtceumlZzx%2B/Phxeb1ev2OtW7dWeXl5o85fWFhY58dLeDxtFBYW1rhB6xEU5K4%2B9njcM%2B%2Bp3bptx27Abu3Ffu3Dbu3THHfbIgPrbLxer8rKyvyOVVZW1vmhpvVZsmSJsrKy/I4lJSUpOTn5vGd0sw4dGrfHpiAkxFv/nfCzsFt7sV/7sFv7NKfdElg/ERERoQ0bNvgd27t3r7p06dKo8yQkJCguLs7vmMfTRiUlx897xp9yW%2Bmb/vrtFBQUqJAQr44erVBNTa3T4zQr7NZe7Nc%2B7NY%2Bdu7Wqf%2B5J7B%2Bol%2B/fpoxY4befPNNDRs2TFu2bNGqVas0Z86cRp0nLCyszsuBRUVlqq5u2X8h3fj119TUunJuN2C39mK/9mG39mlOu3XXJRCbdejQQW%2B88YbWrl2rXr16adq0aZo2bZp69%2B7t9GgAAMBFWvwVrK%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%2B%2BfTVp0iRdcsklDTpHYWGhioqK/I55PG0UFhZmdNagIPrYbuzYvFM7Zbf2YL/2Ybf2aY67JbBOU1xcrOuuu0733HOPMjMzVVJSotTUVKWkpGjevHkNOseSJUuUlZXldywpKUnJycl2jAwbhYR4nR6h2WK39mK/9mG39mlOuw2wLMtyeoimbseOHXrooYe0efNmtWvXrt77X8grWHF/%2BsToOfGjzen9dfRohWpqap0epVkJCgpUSIiX3dqE/dqH3drHzt126NDW6PkaiitYp8nLy9Pq1as1ceJEBQQESJKqqqoUGBio4ODgBp0jLCysTkwVFZWpupq/kG5TU1PLvzebsFt7sV/7sFv7NKfdNp8XOw1p3769cnJylJ2drerqahUUFGjGjBkaPHhwgwMLAAC0bATWaTp16qTXX39dH3/8sWJiYvTAAw8oMjJSTz31lNOjAQAAl%2BAlwjOIiYnR4sWLnR4DAAC4FFewAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADPM4PQDQVEWnrXV6hEZZMyHW6REAAP/DFSwAAADDCCwAAADDCCwAAADDCCwAAADDCCwAAADDCCwAAADDCCwAAADDCCwAAADDCCwAAADDCCwAAADDCCwAAADD%2BF2EQDNx7%2BwNTo/QYJvT%2Bzs9AgDYiitYAAAAhhFYAAAAhhFYAAAAhhFYAAAAhhFYAAAAhhFYAAAAhhFYAAAAhhFYAAAAhhFYAAAAhhFYAAAAhvGrcgCgHm76NUQSv4oIP3LTY7e5PW65ggUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgXUGhw8f1rhx4xQdHa1evXopPT1d1dXVTo8FAABcgsA6gwkTJqhNmzb69NNPtWzZMm3cuFFvvvmm02MBAACXILBO8%2B233%2Bqrr75SSkqKvF6vfvnLX2rcuHHKyclxejQAAOASBNZp9uzZo/bt2%2Buyyy7zHbv22mtVUFCgo0ePOjgZAABwC35VzmmOHz8ur9frd%2BzUx%2BXl5QoJCan3HIWFhSoqKvI75vG0UVhYmLlBJQUF0cdwLx6/9mK/5p3aKbu1T3PaLYF1mjZt2qiiosLv2KmP27Zt26BzLFmyRFlZWX7HHn/8cY0fP97MkP9TWFioEZ32KCEhwXi8tXSFhYVasmQJu7VBYWGhXnnlFVft1k2/I82N%2B3WLwsJC/d//Zbtqt2557DbHx23zSUVDunTpotLSUh06dMh3bN%2B%2BferUqZMuvvjiBp0jISFBy5cv9/uTkJBgfNaioiJlZWXVuVqG88du7cNu7cV%2B7cNu7dMcd8sVrNNcffXVuummm/Tiiy/queeeU0lJiebMmaMHH3ywwecICwtrNgUOAAAajytYZ5CZmanq6mrdeeedeuihh9SnTx%2BNGzfO6bEAAIBLcAXrDDp27KjMzEynxwAAAC4V9Mwzzzzj9BD4%2Bdq2bauYmJgGvwEfDcdu7cNu7cV%2B7cNu7dPcdhtgWZbl9BAAAADNCe/BAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAcqnDhw9r3Lhxio6OVq9evZSenq7q6mqnx3KFvLw8JSYmKiYmRrGxsZo8ebKKi4slSdu3b9eQIUMUFRWluLg4LV261O9zV6xYoX79%2Bqlnz566//77tW3bNie%2BhCavpqZGw4cP15QpU3zHPvnkEw0cOFA9e/bUvffeq/Xr1/t9zvz583X77berZ8%2BeGj58uPbv33%2Bhx27SSktLNXnyZPXq1Us333yzxo0bp8LCwgZ/Po/ds6vv%2BbS%2B5wU4q8k%2Bti240iOPPGJNnDjRKi8vt/Lz860BAwZY8%2BfPd3qsJq%2BiosKKjY21Xn75ZevEiRNWcXGxNXr0aGvs2LFWaWmpFRMTYy1atMg6efKk9fnnn1tRUVHW9u3bLcuyrC%2B%2B%2BMKKioqyNm/ebFVVVVkLFiywevXqZZWXlzv8VTU9s2fPtrp162alpqZalmVZBw4csCIjI60PP/zQOnnypPXee%2B9Z119/vfX9999blmVZy5cvt/r06WPt3r3bqqystDIyMqwBAwZYtbW1Tn4ZTcojjzxiJSUlWUeOHLHKysqsxx9/3BozZkyDPpfH7rmd6/m0vucFOKspP7YJLBf65ptvrIiICN9/nCzLst577z3rjjvucHAqd9i3b581cuRIq7q62nfso48%2Bsm688Ubr7bfftu6%2B%2B26/%2Bz/11FPW5MmTLcuyrIkTJ1rTpk3zu71///7WsmXL7B/cRT7//HPrvvvus5KTk32BNXPmTCsxMdHvfiNHjrRefvlly7Isa%2BjQodbcuXN9t1VVVVlRUVHWxo0bL9zgTVhubq4VGRlplZWV%2BY6VlJRYu3fvbtDn89g9u/qeT%2Bt7XoCzmvJjm5cIXWjPnj1q3769LrvsMt%2Bxa6%2B9VgUFBTp69KiDkzV9nTt3VnZ2toKCgnzH1q1bp%2B7du2vPnj2KiIjwu394eLjy8vIkSXv37j3n7fjhpZa0tDS99NJL8nq9vuP17e7021u1aqWrr76a3f7Pjh07FB4errffflv9%2BvXTbbfdpj/96U%2B69NJLG/T5PHbPrr7n0/qeF%2BCspvzYJrBc6Pjx437/8ZLk%2B7i8vNyJkVzJsizNmjVL69evV1pa2hn32rp1a99O67u9pautrVVKSooSExPVrVs3v9vY7fk5cuSIvv76a33zzTdasWKF3nnnHR08eFCpqakN%2Bnz2e3b1PZ%2Byu6atKf/7IbBcqE2bNqqoqPA7durjtm3bOjGS6xw7dkzJyclatWqVFi1apK5du8rr9aqystLvfpWVlb6d1nd7S/f6668rODhYw4cPr3Mbuz0/wcHBkqS0tDS1a9dOHTt21IQJE/TJJ5/o%2BPHj9X4%2B%2Bz27%2Bp5P2V3T1pT//RBYLtSlSxeVlpbq0KFDvmP79u1Tp06ddPHFFzs4mTvk5%2BfrgQce0LFjx7Rs2TJ17dpVkhQREaE9e/b43Xfv3r3q0qWLpB/2fq7bW7qVK1fqq6%2B%2BUnR0tKKjo7V69WqtXr1a0dHRjd7tyZMn9c0339S59N9ShYeHq7a2VidPnvQdq62tlfTDldj68Ng9u/qeT%2Bt77MJZTfqx7fSbwPDzPPzww9YTTzxhlZWV%2Bb7rJTMz0%2BmxmrzS0lLrjjvusKZMmWLV1NT43VZcXGxFR0dbCxYssKqqqqyNGzf6vdH61HcPbdy40ffdKjfffLNVUlLixJfS5KWmpvre5L53714rMjLSeu%2B993zfRRgZGWnt37%2BaBJp/AAABhUlEQVTfsqwf3kjcp08fa9euXb7vIuzXr59VVVXl5JfQZFRVVVn9%2BvWzxo8fbx07dsw6fPiw9eijj1pJSUkN%2Bnweu%2Bd2rufT%2Bp4X4Kym/NgOsKwG/O8PmpxDhw7pueee05dffqnAwEDFx8dr0qRJfm/eRl0LFizQ9OnT5fV6FRAQ4Hfbtm3blJubq/T0dO3evVuhoaEaN26c7r//ft99Vq5cqblz5%2BrgwYMKDw/XtGnTdMMNN1zoL8MVTv0MrOnTp0uSPv30U/3lL39Rfn6%2BrrjiCqWkpKhv376SfrgKs2DBAuXk5Ki4uFiRkZF69tlndc011zg2f1Nz8OBBTZ8%2BXZs2bdKJEycUFxentLQ0hYSENOjzeeyeXX3Pp/U9L8BZTfWxTWABAAAYxnuwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADCOwAAAADPt/EE460cLXi1IAAAAASUVORK5CYII%3D"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common1787513254207873694">
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">0.0</td>
<td class="number">20</td>
<td class="number">18.9%</td>
<td>
<div class="bar" style="width:31%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">100.0</td>
<td class="number">2</td>
<td class="number">1.9%</td>
<td>
<div class="bar" style="width:4%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">80.0</td>
<td class="number">2</td>
<td class="number">1.9%</td>
<td>
<div class="bar" style="width:4%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">45.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:2%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">205.5</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:2%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">70.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:2%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">120.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:2%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1000.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:2%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">170.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:2%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">150.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:2%"> </div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (9)</td>
<td class="number">9</td>
<td class="number">8.5%</td>
<td>
<div class="bar" style="width:14%"> </div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">66</td>
<td class="number">62.3%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme1787513254207873694">
<p class="h4">Minimum 5 values</p>
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">0.0</td>
<td class="number">20</td>
<td class="number">18.9%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">40.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:5%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">45.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:5%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">70.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:5%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">80.0</td>
<td class="number">2</td>
<td class="number">1.9%</td>
<td>
<div class="bar" style="width:10%"> </div>
</td>
</tr>
</table>
<p class="h4">Maximum 5 values</p>
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">224.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">300.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">390.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">500.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1000.0</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4 pp-anchor" id="pp_var_Worked For">Worked For<br/>
<small>Categorical</small>
</p>
</div><div class="col-md-3">
<table class="stats ">
<tr class="">
<th>Distinct count</th>
<td>7</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>6.6%</td>
</tr>
<tr class="alert">
<th>Missing (%)</th>
<td>6.6%</td>
</tr>
<tr class="alert">
<th>Missing (n)</th>
<td>7</td>
</tr>
</table>
</div>
<div class="col-md-6 collapse in" id="minifreqtable-9090039438373243966">
<table class="mini freq">
<tr class="">
<th>Stratiform</th>
<td>
<div class="bar" style="width:100%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 52.8%">
56
</div>
</td>
</tr><tr class="">
<th>Pro Guiding Service</th>
<td>
<div class="bar" style="width:38%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 19.8%">
21
</div>
</td>
</tr><tr class="">
<th>Aspiring Guides</th>
<td>
<div class="bar" style="width:13%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 6.6%">
</div>
7
</td>
</tr><tr class="other">
<th>Other values (3)</th>
<td>
<div class="bar" style="width:27%" data-toggle="tooltip" data-placement="right" data-html="true"
data-delay=500 title="Percentage: 14.2%">
15
</div>
</td>
</tr>
</table>
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#freqtable-9090039438373243966, #minifreqtable-9090039438373243966"
aria-expanded="true" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="col-md-12 extrapadding collapse" id="freqtable-9090039438373243966">
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">Stratiform</td>
<td class="number">56</td>
<td class="number">52.8%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Pro Guiding Service</td>
<td class="number">21</td>
<td class="number">19.8%</td>
<td>
<div class="bar" style="width:38%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Aspiring Guides</td>
<td class="number">7</td>
<td class="number">6.6%</td>
<td>
<div class="bar" style="width:13%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Aspen Alpine Guides</td>
<td class="number">7</td>
<td class="number">6.6%</td>
<td>
<div class="bar" style="width:13%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">International Alpine Guides</td>
<td class="number">6</td>
<td class="number">5.7%</td>
<td>
<div class="bar" style="width:11%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">Stratiform </td>
<td class="number">2</td>
<td class="number">1.9%</td>
<td>
<div class="bar" style="width:4%"> </div>
</td>
</tr><tr class="missing">
<td class="fillremaining">(Missing)</td>
<td class="number">7</td>
<td class="number">6.6%</td>
<td>
<div class="bar" style="width:13%"> </div>
</td>
</tr>
</table>
</div>
</div><div class="row variablerow">
<div class="col-md-3 namecol">
<p class="h4 pp-anchor" id="pp_var_index">index<br/>
<small>Numeric</small>
</p>
</div><div class="col-md-6">
<div class="row">
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Distinct count</th>
<td>106</td>
</tr>
<tr>
<th>Unique (%)</th>
<td>100.0%</td>
</tr>
<tr class="ignore">
<th>Missing (%)</th>
<td>0.0%</td>
</tr>
<tr class="ignore">
<th>Missing (n)</th>
<td>0</td>
</tr>
<tr class="ignore">
<th>Infinite (%)</th>
<td>0.0%</td>
</tr>
<tr class="ignore">
<th>Infinite (n)</th>
<td>0</td>
</tr>
</table>
</div>
<div class="col-sm-6">
<table class="stats ">
<tr>
<th>Mean</th>
<td>53.5</td>
</tr>
<tr>
<th>Minimum</th>
<td>1</td>
</tr>
<tr>
<th>Maximum</th>
<td>106</td>
</tr>
<tr class="ignore">
<th>Zeros (%)</th>
<td>0.0%</td>
</tr>
</table>
</div>
</div>
</div>
<div class="col-md-3 collapse in" id="minihistogram2182278257627835026">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAARFJREFUeJzt2MGpAjEUQFFHLMkifk%2Bu7cki7Om5/8gFBZ0I5%2BzDvAQuIbPNzByAp457DwArO%2B09wH/ny%2B3lNffr35LfWXUv3zqvd7wz2ye5QSAIBIJAIAgEwrbab95vPQZZk0c6/BCBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAiEbWZm7yFgVW4QCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCA%2BNhx6KJkg8dAAAAABJRU5ErkJggg%3D%3D">
</div>
<div class="col-md-12 text-right">
<a role="button" data-toggle="collapse" data-target="#descriptives2182278257627835026,#minihistogram2182278257627835026"
aria-expanded="false" aria-controls="collapseExample">
Toggle details
</a>
</div>
<div class="row collapse col-md-12" id="descriptives2182278257627835026">
<ul class="nav nav-tabs" role="tablist">
<li role="presentation" class="active"><a href="#quantiles2182278257627835026"
aria-controls="quantiles2182278257627835026" role="tab"
data-toggle="tab">Statistics</a></li>
<li role="presentation"><a href="#histogram2182278257627835026" aria-controls="histogram2182278257627835026"
role="tab" data-toggle="tab">Histogram</a></li>
<li role="presentation"><a href="#common2182278257627835026" aria-controls="common2182278257627835026"
role="tab" data-toggle="tab">Common Values</a></li>
<li role="presentation"><a href="#extreme2182278257627835026" aria-controls="extreme2182278257627835026"
role="tab" data-toggle="tab">Extreme Values</a></li>
</ul>
<div class="tab-content">
<div role="tabpanel" class="tab-pane active row" id="quantiles2182278257627835026">
<div class="col-md-4 col-md-offset-1">
<p class="h4">Quantile statistics</p>
<table class="stats indent">
<tr>
<th>Minimum</th>
<td>1</td>
</tr>
<tr>
<th>5-th percentile</th>
<td>6.25</td>
</tr>
<tr>
<th>Q1</th>
<td>27.25</td>
</tr>
<tr>
<th>Median</th>
<td>53.5</td>
</tr>
<tr>
<th>Q3</th>
<td>79.75</td>
</tr>
<tr>
<th>95-th percentile</th>
<td>100.75</td>
</tr>
<tr>
<th>Maximum</th>
<td>106</td>
</tr>
<tr>
<th>Range</th>
<td>105</td>
</tr>
<tr>
<th>Interquartile range</th>
<td>52.5</td>
</tr>
</table>
</div>
<div class="col-md-4 col-md-offset-2">
<p class="h4">Descriptive statistics</p>
<table class="stats indent">
<tr>
<th>Standard deviation</th>
<td>30.744</td>
</tr>
<tr>
<th>Coef of variation</th>
<td>0.57465</td>
</tr>
<tr>
<th>Kurtosis</th>
<td>-1.2</td>
</tr>
<tr>
<th>Mean</th>
<td>53.5</td>
</tr>
<tr>
<th>MAD</th>
<td>26.5</td>
</tr>
<tr class="">
<th>Skewness</th>
<td>0</td>
</tr>
<tr>
<th>Sum</th>
<td>5671</td>
</tr>
<tr>
<th>Variance</th>
<td>945.17</td>
</tr>
<tr>
<th>Memory size</th>
<td>928.0 B</td>
</tr>
</table>
</div>
</div>
<div role="tabpanel" class="tab-pane col-md-8 col-md-offset-2" id="histogram2182278257627835026">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAGbVJREFUeJzt3XtslfX9wPFP28OlgNV6qbfwkygoy7ZEA4gX0FiZzjkMw0szDQpxzowqYqIiOm8MxMu8DDuQaRYiOO0kLqjblE03LxOF6bxmOoYLanD2oKXIHdr%2B/lggKaig/T6ec%2BrrlZimT9vv88k3T3LePudCWXt7e3sAAJBMeaEHAADoagQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawAAASyxV6gK%2BLfP6TTq9RXl4We%2B7ZOz7%2BeG20tbUnmOrry16mYy/TsZfp2Mt0Sn0v99lnt4Kc1x2sElJeXhZlZWVRXl5W6FFKnr1Mx16mYy/TsZfp2MsvR2ABACQmsAAAEhNYAACJCSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACQmsAAAEhNYAACJCSwAgMQEFgBAYrlCD0DnnHLn3wo9wi7748RjCz3CF1JKextRWvtrb7NVSvtrb9mq1K6FnXEHCwAgMYEFAJCYwAIASExgAQAkJrAAABITWAAAiQksAIDEBBYAQGICCwAgMYEFAJCYwAIASExgAQAkJrAAABITWAAAiQksAIDEBBYAQGICCwAgMYEFAJCYwAIASExgAQAkJrAAABITWAAAiRV1YH300Ucxfvz4GDx4cAwdOjSmTZsWW7ZsKfRYAACfq6gDa%2BLEidGrV6949tlnY/78%2BbFo0aKYM2dOoccCAPhcRRtYy5cvj8WLF8fll18elZWV0bdv3xg/fnzcf//9hR4NAOBzFW1gLV26NPbYY4/Yd999tx075JBDYsWKFbF69eoCTgYA8PlyhR7gs6xduzYqKys7HNv6/bp166KqqqoQY%2B2SpqamyOfzHY7lcr2ipqamU%2BtWVJR3%2BFpqcrnimbvU9/LTFGp/u%2BJebu%2Br2tuvw15uL6u9/TruZakrpseIFIo2sHr16hXr16/vcGzr97179y7ESLussbExGhoaOhyrr6%2BPCRMmJFm/qqpy579UhL7z82cLPUKXZn%2BzY2%2BzY2/Zqrq6uB/bv6iiDawBAwbEqlWrYuXKlbH33ntHRMSyZctiv/32i912263A032%2Burq6qK2t7XAsl%2BsVzc1rO7VuRUV5VFVVxurV66O1ta1TawFAMensY%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%2BSTT47FixfH/Pnz47nnnot77rmn0KMBACVCYG2npaUl8vl8tLW1RXt7e0RElJeXR2VlZYEnAwBKRa7QAxSb6urqGDt2bNx8881xyy23RGtra5x44okxduzYXV6jqakp8vl8h2O5XK%2Boqanp1GwVFeUdvgJAV5HLda3HNoG1nba2tujZs2dcc801ccYZZ8Ty5cvjoosuihkzZsTEiRN3aY3GxsZoaGjocKy%2Bvj4mTJiQZMaqKnfTAOhaqqt7F3qEpMratz4PRkREPPHEE3HHHXfE448/vu3YI488EtOmTYsXX3xxl9bI8g5WVVVlrF69Plpb2yIi4js/f7ZTawJAMfjTZcMzWbdQ4eYO1nY%2B%2BOCDHd4xmMvlolu3bru8Rk1NzQ4xlc9/Elu2tCWZsbW1LdlaAFAMutrjWtd6wjOBYcOGRT6fj7vvvjtaW1vjvffei1mzZsXIkSMLPRoAUCIE1nb69%2B8fs2fPjqeeeiqGDh0a5557btTW1sall15a6NEAgBLhKcJPccwxx8QxxxxT6DEAgBLlDhYAQGICCwAgMYEFAJCYwAIASExgAQAkJrAAABITWAAAiQksAIDEBBYAQGICCwAgMYEFAJCYwAIASExgAQAkJrAAABITWAAAiQksAIDEBBYAQGICCwAgMYEFAJCYwAIASExgAQAkJrAAABITWAAAiQksAIDEBBYAQGICCwAgMYEFAJCYwAIASExgAQAkJrAAABITWAAAiWUSWPPmzYuWlpYslgYAKHqZBNY999wTw4cPj0suuSSeeeaZaG9vz%2BI0AABFKZPA%2Butf/xozZ86Mbt26xYQJE%2BK4446L2267Ld55550sTgcAUFRyWSxaVlYWw4YNi2HDhsXatWtj4cKFsXDhwhg9enQMHDgwzjzzzDj11FOjZ8%2BeWZweAKCgMn%2BR%2B7p166KlpSWam5tj06ZNUV5eHrNnz44TTzwxFi1alPXpAQC%2Bcpncwdq4cWMsXLgwFixYEIsWLYq99947Ro0aFbfcckv83//9X0RE3HDDDXHllVfG008/ncUIAAAFk0lgHX300bF58%2BY44YQTYubMmTF8%2BPAoLy/f4XeefPLJLE4PAFBQmQTWJZdcEqeddlpUV1d/5u/U1tbGSSedlMXpAQAKKpPXYI0ZMybuu%2B%2B%2B%2BM1vfrPt2OjRo2PWrFnbvs/lMmk7AICCyySw7rzzznjwwQejpqZm27HTTjst5s6dG7Nnz87ilAAARSOTwHrkkUfitttuixEjRmw7Nnbs2Jg%2BfXo0NjZmcUoAgKKRSWCtWrUq9t9//x2OH3TQQbFy5cosTgkAUDQyCayBAwfGQw89tMPxBQsWxIABA7I4JQBA0cjkleYXX3xxXHDBBfHyyy/H4YcfHmVlZfH666/HK6%2B8Er/85S%2BzOCUAQNHI5A7WscceGw888EAceOCB8be//S1eeOGF2G%2B//WL%2B/Plx/PHHZ3HKpFatWhVXXHFFDB06NIYMGRLjx4%2BPpqamQo8FAJSIsvb29vZCD1FsxowZE7vvvnvceOONUV5eHpMnT45NmzZ16h2Q%2BfwnnZ4rlyuP6ure0dy8NrZsaYuIiFPu/Fun1wWAQvvjxGMzWXeffXbLZN2dyezDqF566aV46aWXYvPmzbF9w1100UVZnbbT3njjjXj11Vfj%2Beefjz59%2BkRExM9%2B9rPI5/MFngwAKBWZBNavfvWruP3222P33XeP3r17d/hZWVlZUQfWa6%2B9Fv3794/f/va38cADD8T69etj%2BPDhMWnSpEKPBgCUiEwCa968efGTn/wkLrnkkiyWz1RLS0u8/fbb8a1vfSt%2B97vfxYYNG%2BKKK66ISZMm7fJThE1NTTvc8crlenX44NUvo6KivMNXAOgqcrmu9diWSWC1tLTEqFGjslg6c927d4%2BIiKuvvjp69OgRffr0iYkTJ8ZZZ50Va9eu3eGO3KdpbGyMhoaGDsfq6%2BtjwoQJSWasqqpMsg4AFIvq6p0/vpaSTAJr0KBB8frrr8dBBx2UxfKZ6t%2B/f7S1tcXmzZujR48eERHR1va/F5Tv6vsB6urqora2tsOxXK5XNDev7dRsFRXlUVVVGatXr4/W1rZOrQUAxaSzj5GfpVDhlklgnXLKKTFlypR444034uCDD952V2irYr67dcwxx0Tfvn3jqquuiunTp8fGjRvjjjvuiBEjRmx70fvO1NTU7PB0YD7/ybZ3/nVWa2tbsrUAoBh0tce1TD6mYeDAgZ99wrKy%2BOc//5n6lEl9%2BOGHcdNNN8WSJUti48aNUVtbG1dffXVUVVV96TV9TAMAfDYf07AL3nrrrSyW/crsu%2B%2B%2BcccddxR6DACgRHWtl%2BwDABSBTO5g1dbWRllZ2Wf%2B/Mknn8zitAAARSGTwPrBD37QIbA2b94cy5cvj2eeeSYmTpyYxSkBAIpGJoF18cUXf%2BrxefPmxUsvvRTnnntuFqcFACgKX%2BlrsE444YR4%2Bumnv8pTAgB85b7SwFq8ePG2D%2B8EAOiqMnmKcPunANvb22PNmjXx9ttve3oQAOjyMgmsAw44YId3EXbr1i3OO%2B%2B8GDlyZBanBAAoGpkE1k033ZTFsgAAJSGTwFqyZMku/%2B6QIUOyGAEAoGAyCayxY8dGe3v7tv%2B22vq04dZjpfDvEgIAfFGZBNZdd90V06dPj0mTJsVRRx0V3bp1i1dffTWuv/76OPvss%2BOEE07I4rQAAEUhk49puPnmm%2BO6666LESNGRJ8%2BfaJHjx5x5JFHxpQpU%2BLXv/51HHjggdv%2BAwDoajIJrKampth///13ON6nT59obm7O4pQAAEUjk8A6/PDD4/bbb481a9ZsO7Zq1aq49dZb4%2Bijj87ilAAARSOT12D99Kc/jfPOOy%2BOO%2B646NevX0RE/Oc//4l99tkn7rvvvixOCQBQNDIJrEMOOST%2B8Ic/xKOPPhrLli2LiIizzz47Tj311KisrMzilAAARSOTwIqIqKqqijPPPDPef//96Nu3b0T879PcAQC6ukxeg9Xe3h4///nPY8iQIfH9738//vvf/8akSZNi8uTJsXnz5ixOCQBQNDIJrLlz58aCBQviuuuui%2B7du0dExIgRI%2BKpp56KX/ziF1mcEgCgaGQSWI2NjXHttdfG6NGjt316%2B/e%2B972YNm1a/P73v8/ilAAARSOTwHr//ffjG9/4xg7HDzvssFi5cmUWpwQAKBqZBNaBBx4Yr7322g7Hn3766W0veAcA6KoyeRfh%2BeefHzfccEN8%2BOGH0d7eHosWLYoHH3ww5s6dG5MnT87ilAAARSOTwDr99NNjy5YtMWvWrNiwYUNce%2B21sddee8Wll14aP/zhD7M4JQBA0cgksB555JH47ne/G3V1dfHxxx9He3t77LXXXlmcCgCg6GTyGqypU6duezH7nnvuKa4AgK%2BVTAKrX79%2B8fbbb2exNABA0cvkKcIBAwbEZZddFvfee2/069cvevTo0eHn06dPz%2BK0AABFIZPAevfdd2PQoEEREZHP57M4BQBA0coksObOnZvFsgAAJSHZa7CmT58e69atS7UcAEDJShZY9913X6xfv77DsfPPPz%2BamppSnQIAoCQkC6z29vYdjr388suxcePGVKcAACgJmXxMAwDA15nAAgBILGlglZWVpVwOAKAkJf2YhqlTp3b4UNHNmzfHrbfeGr179%2B7wez5oFADoypIF1pAhQ3b4UNEjjjgimpubo7m5OdVpAACKXrLA8uGiAAD/40XuAACJCSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGB9jtbW1hgzZkxceeWVhR4FACghAutzNDQ0xN///vdCjwEAlBiB9RkWLVoUCxcujJNOOqnQowAAJSbpv0XYVXz00Udx9dVXx8yZM2POnDlf%2BO%2Bbmpp2%2BGeDcrleUVNT06m5KirKO3wFgK4il%2Btaj20CazttbW1x%2BeWXx7hx42LgwIFfao3GxsZoaGjocKy%2Bvj4mTJiQYsSoqqpMsg4AFIvq6t6FHiEpgbWd2bNnR/fu3WPMmDFfeo26urqora3tcCyX6xXNzWs7NVtFRXlUVVXG6tXro7W1rVNrAUAx6exj5GcpVLgJrO0sWLAgmpqaYvDgwRERsWHDhoiI%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%2BPrp37x7V1dVRV1cXS5YsKfRoAECJyBV6gGJz8MEHx7333tvh2BNPPBHf/OY3CzQRAFBqBNbnaG9vjzvvvDP%2B8pe/xLx58wo9DgBQIgTWZ1izZk1Mnjw53nzzzZg3b14cdthhu/y3TU1Nkc/nOxzL5XpFTU1Np2aqqCjv8BUAuopcrms9tgmsT/Huu%2B/GBRdcEAcccEDMnz8/9txzzy/0942NjdHQ0NDhWH19fUyYMCHJfFVVlUnWAYBiUV3du9AjJCWwttPS0hLnnXdeHHXUUTFt2rQoL//iRV1XVxe1tbUdjuVyvaK5eW2nZquoKI%2BqqspYvXp9tLa2dWotACgmnX2M/CyFCjeBtZ2HH344VqxYEX/84x/j8ccf7/Czf/zjH7u0Rk1NzQ5PB%2Bbzn8SWLWmiqLW1LdlaAFAMutrjmsDazrhx42LcuHGFHgMAKGFd6xVlAABFQGABACQmsAAAEhNYAACJCSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACQmsAAAEhNYAACJCSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACQmsAAAEhNYAACJCSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACQmsAAAEhNYAACJCSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACQmsAAAEhNYAACJCSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACQmsAAAEhNYAACJCSwAgMQEFgBAYgILACAxgQUAkJjAAgBITGABACSWK/QAXVFTU1Pk8/kOx3K5XlFTU9OpdSsqyjt8BYCuIpfrWo9tZe3t7e2FHqKrueuuu6KhoaHDsYsuuiguvvjiTq3b1NQUjY2NUVdX1%2BlY%2B7qzl%2BnYy3TsZTr2Mh17%2BeV0rVwsEnV1dfHwww93%2BK%2Burq7T6%2Bbz%2BWhoaNjh7hhfnL1Mx16mYy/TsZfp2Msvx1OEGaipqVH5APA15g4WAEBiAgsAILGK66%2B//vpCD8Gu6927dxx55JHRu3fvQo9S8uxlOvYyHXuZjr1Mx15%2Bcd5FCACQmKcIAQASE1gAAIkJLACAxAQWAEBiAgsAIDGBBQCQmMACAEhMYAEAJCawSsBHH30U48ePj8GDB8fQoUNj2rRpsWXLlkKPVRLsHcXIdZnOm2%2B%2BGeecc04MHjw4hg0bFlOnTo1NmzYVeqySsbNr8dVXX40zzzwzjjjiiKitrY2HHnqogNOWFoFVAiZOnBi9evWKZ599NubPnx%2BLFi2KOXPmFHqskmDvKEauyzTa2triwgsvjJNPPjkWL14c8%2BfPj%2Beeey7uueeeQo9WMj7vWmxpaYkf//jHMWrUqFiyZElMmzYtpk%2BfHq%2B99lphhy4RAqvILV%2B%2BPBYvXhyXX355VFZWRt%2B%2BfWP8%2BPFx//33F3q0omfvKEauy3RaWloin89HW1tbbP1X38rLy6OysrLAk5WGnV2LCxcujD322CPOOeecyOVycfTRR8fIkSNdq7tIYBW5pUuXxh577BH77rvvtmOHHHJIrFixIlavXl3AyYqfvaMYuS7Tqa6ujrFjx8bNN98c3/72t%2BP444%2BPfv36xdixYws9WknY2bW4dOnSOPTQQzv8Tf/%2B/eOtt976qkctSQKryK1du3aH/xvb%2Bv26desKMVLJsHcUI9dlOm1tbdGzZ8%2B45ppr4pVXXonHHnssli1bFjNmzCj0aCVhZ9fip/28Z8%2BertNdJLCKXK9evWL9%2BvUdjm39vnfv3oUYqWTYO4qR6zKdP/3pT/HEE0/E2WefHd27d48BAwZEfX19PPDAA4UerSTs7FqsrKyMDRs2dPj5hg0bXKe7SGAVuQEDBsSqVati5cqV244tW7Ys9ttvv9htt90KOFnxs3cUI9dlOh988MEO7xjM5XLRrVu3Ak1UWnZ2LR566KGxdOnSDn/z73//OwYMGPBVj1qSBFaR69evXwwaNChuvPHGWLNmTbz33nsxc%2BbMOOOMMwo9WtGzdxQj12U6w4YNi3w%2BH3fffXe0trbGe%2B%2B9F7NmzYqRI0cWerSSsLNr8Tvf%2BU6sXLky5syZE5s3b44XXnghHn300Tj99NMLPHlpKGvf%2BtYLitbKlStjypQp8eKLL0Z5eXmMGjUqLrvssqioqCj0aEXP3lGMXJfpPP/883HnnXfGO%2B%2B8E7vttlucdtppUV9fH927dy/0aCVhZ9fi66%2B/HtOmTYt//etfseeee8b48eNj9OjRBZ66NAgsAIDEPEUIAJCYwAIASExgAQAkJrAAABITWAAAiQksAIDEBBYAQGICCwAgMYEFAJCYwAIASExgAQAkJrAAABITWAAAiQksAIDEBBYAQGL/D3bw8QGU/qmCAAAAAElFTkSuQmCC"/>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="common2182278257627835026">
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">1</td>
<td class="number">106</td>
<td class="number">100.0%</td>
<td>
<div class="bar" style="width:2%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1</td>
<td class="number">27</td>
<td class="number">25.5%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1</td>
<td class="number">29</td>
<td class="number">27.4%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1</td>
<td class="number">30</td>
<td class="number">28.3%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1</td>
<td class="number">31</td>
<td class="number">29.2%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1</td>
<td class="number">32</td>
<td class="number">30.2%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1</td>
<td class="number">33</td>
<td class="number">31.1%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1</td>
<td class="number">34</td>
<td class="number">32.1%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1</td>
<td class="number">35</td>
<td class="number">33.0%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1</td>
<td class="number">36</td>
<td class="number">34.0%</td>
<td>
<div class="bar" style="width:1%"> </div>
</td>
</tr><tr class="other">
<td class="fillremaining">Other values (96)</td>
<td class="number">5278</td>
<td class="number">4979.2%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr>
</table>
</div>
<div role="tabpanel" class="tab-pane col-md-12" id="extreme2182278257627835026">
<p class="h4">Minimum 5 values</p>
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">1</td>
<td class="number">106</td>
<td class="number">100.0%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1</td>
<td class="number">27</td>
<td class="number">25.5%</td>
<td>
<div class="bar" style="width:26%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1</td>
<td class="number">29</td>
<td class="number">27.4%</td>
<td>
<div class="bar" style="width:28%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1</td>
<td class="number">30</td>
<td class="number">28.3%</td>
<td>
<div class="bar" style="width:29%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1</td>
<td class="number">31</td>
<td class="number">29.2%</td>
<td>
<div class="bar" style="width:29%"> </div>
</td>
</tr>
</table>
<p class="h4">Maximum 5 values</p>
<table class="freq table table-hover">
<thead>
<tr>
<td class="fillremaining">Value</td>
<td class="number">Count</td>
<td class="number">Frequency (%)</td>
<td style="min-width:200px"> </td>
</tr>
</thead>
<tr class="">
<td class="fillremaining">1</td>
<td class="number">74</td>
<td class="number">69.8%</td>
<td>
<div class="bar" style="width:96%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1</td>
<td class="number">75</td>
<td class="number">70.8%</td>
<td>
<div class="bar" style="width:97%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1</td>
<td class="number">76</td>
<td class="number">71.7%</td>
<td>
<div class="bar" style="width:98%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1</td>
<td class="number">77</td>
<td class="number">72.6%</td>
<td>
<div class="bar" style="width:100%"> </div>
</td>
</tr><tr class="">
<td class="fillremaining">1</td>
<td class="number">1</td>
<td class="number">0.9%</td>
<td>
<div class="bar" style="width:2%"> </div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div>
<div class="row headerrow highlight">
<h1>Correlations</h1>
</div>
<div class="row headerrow highlight">
<h1>Sample</h1>
</div>
<div class="row variablerow">
<div class="col-md-12" style="overflow:scroll; width: 100%%; overflow-y: hidden;">
<table border="1" class="dataframe sample">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Date</th>
<th>Worked For</th>
<th>Discipline</th>
<th>Pay</th>
<th>Tip</th>
<th>Number of clients</th>
<th>Time</th>
<th>Description</th>
<th>Number</th>
</tr>
</thead>
<tbody>
<tr>
<th>1</th>
<td>2019-01-06</td>
<td>Aspiring Guides</td>
<td>Rock Climbing</td>
<td>267.15</td>
<td>NaN</td>
<td>1.0</td>
<td>6.0</td>
<td>Drove to fox</td>
<td>1.0</td>
</tr>
<tr>
<th>2</th>
<td>2019-01-07</td>
<td>Aspiring Guides</td>
<td>Alpine</td>
<td>267.15</td>
<td>NaN</td>
<td>1.0</td>
<td>8.0</td>
<td>Guided Humdinger</td>
<td>2.0</td>
</tr>
<tr>
<th>3</th>
<td>2019-01-08</td>
<td>Aspiring Guides</td>
<td>Alpine</td>
<td>267.15</td>
<td>NaN</td>
<td>1.0</td>
<td>11.0</td>
<td>Guided Lendenfield</td>
<td>3.0</td>
</tr>
<tr>
<th>4</th>
<td>2019-01-09</td>
<td>Aspiring Guides</td>
<td>Alpine</td>
<td>267.15</td>
<td>205.5</td>
<td>1.0</td>
<td>5.0</td>
<td>Flew out drove to Wanaka</td>
<td>4.0</td>
</tr>
<tr>
<th>5</th>
<td>2019-01-11</td>
<td>Aspiring Guides</td>
<td>Single Pitch</td>
<td>267.15</td>
<td>NaN</td>
<td>4.0</td>
<td>8.0</td>
<td>Rock instruction at main wall</td>
<td>5.0</td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
</body>
</html>
