zoomarks_csvextract.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notebook for Marking Extraction from Panopotes Classification CSV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import json"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read-in and examine content of \"classifications\" table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "63"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classfile_in = 'ap-aas229-test-classifications.csv'\n",
    "classifications = pd.read_csv(classfile_in)\n",
    "len(classifications)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>classification_id</th>\n",
       "      <th>user_name</th>\n",
       "      <th>user_id</th>\n",
       "      <th>user_ip</th>\n",
       "      <th>workflow_id</th>\n",
       "      <th>workflow_name</th>\n",
       "      <th>workflow_version</th>\n",
       "      <th>created_at</th>\n",
       "      <th>gold_standard</th>\n",
       "      <th>expert</th>\n",
       "      <th>metadata</th>\n",
       "      <th>annotations</th>\n",
       "      <th>subject_data</th>\n",
       "      <th>subject_ids</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>23386351</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>44.19</td>\n",
       "      <td>2016-12-16 08:22:14 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"eb8727582ebc4502bcccd42a749895b17b...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026478\":{\"retired\":null,\"NX\":\"0.5490651\",\"N...</td>\n",
       "      <td>5026478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>23386400</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>44.19</td>\n",
       "      <td>2016-12-16 08:24:05 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"eb8727582ebc4502bcccd42a749895b17b...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026474\":{\"retired\":null,\"NX\":\"0.60703784\",\"...</td>\n",
       "      <td>5026474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>23386545</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>44.19</td>\n",
       "      <td>2016-12-16 08:32:11 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"0ab587d4fddac6b1945c84f0c7adc7c9ac...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026484\":{\"retired\":null,\"NX\":\"0.14356157\",\"...</td>\n",
       "      <td>5026484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23386573</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>44.19</td>\n",
       "      <td>2016-12-16 08:33:35 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"0ab587d4fddac6b1945c84f0c7adc7c9ac...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026480\":{\"retired\":null,\"NX\":\"0.38636583\",\"...</td>\n",
       "      <td>5026480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>23386766</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>44.19</td>\n",
       "      <td>2016-12-16 08:41:49 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"0ab587d4fddac6b1945c84f0c7adc7c9ac...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026486\":{\"retired\":null,\"NX\":\"0.2888574\",\"N...</td>\n",
       "      <td>5026486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>23386868</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>44.19</td>\n",
       "      <td>2016-12-16 08:46:13 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"ed981aba91106cb8b16b8fd53cbb6f0352...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026483\":{\"retired\":null,\"NX\":\"0.44833302\",\"...</td>\n",
       "      <td>5026483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>23386909</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>44.19</td>\n",
       "      <td>2016-12-16 08:48:11 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"ed981aba91106cb8b16b8fd53cbb6f0352...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026479\":{\"retired\":null,\"NX\":\"0.5490651\",\"N...</td>\n",
       "      <td>5026479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>23387182</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>49.26</td>\n",
       "      <td>2016-12-16 09:08:49 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"74d7958bc1cf7fffec6aa971102032127f...</td>\n",
       "      <td>[{\"task\":\"T1\",\"task_label\":\"Anything objects t...</td>\n",
       "      <td>{\"5026476\":{\"retired\":null,\"NX\":\"0.59854376\",\"...</td>\n",
       "      <td>5026476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>23387199</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>49.26</td>\n",
       "      <td>2016-12-16 09:10:04 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"74d7958bc1cf7fffec6aa971102032127f...</td>\n",
       "      <td>[{\"task\":\"T1\",\"task_label\":\"Anything objects t...</td>\n",
       "      <td>{\"5026487\":{\"retired\":null,\"NX\":\"0.60703784\",\"...</td>\n",
       "      <td>5026487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>23438985</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:33:40 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"cf77e97434f420c85b7e01a8055f34ecb3...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026485\":{\"retired\":null,\"NX\":\"0.35769105\",\"...</td>\n",
       "      <td>5026485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>23438988</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:33:57 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"cf77e97434f420c85b7e01a8055f34ecb3...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026475\":{\"retired\":null,\"NX\":\"0.67933244\",\"...</td>\n",
       "      <td>5026475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>23438990</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:34:04 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"cf77e97434f420c85b7e01a8055f34ecb3...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026481\":{\"retired\":null,\"NX\":\"0.3950835\",\"N...</td>\n",
       "      <td>5026481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>23439014</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:39:51 UTC</td>\n",
       "      <td>True</td>\n",
       "      <td>owner</td>\n",
       "      <td>{\"session\":\"af629460184cd3794cb7d9504e4db468ab...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026482\":{\"retired\":null,\"NX\":\"0.51024884\",\"...</td>\n",
       "      <td>5026482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>23439016</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:40:06 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"af629460184cd3794cb7d9504e4db468ab...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026477\":{\"retired\":null,\"NX\":\"0.36072057\",\"...</td>\n",
       "      <td>5026477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>23439020</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:40:45 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"af629460184cd3794cb7d9504e4db468ab...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026488\":{\"retired\":null,\"NX\":\"0.5490651\",\"N...</td>\n",
       "      <td>5026488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>23439025</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:41:20 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"af629460184cd3794cb7d9504e4db468ab...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026473\":{\"retired\":null,\"NX\":\"0.60703784\",\"...</td>\n",
       "      <td>5026473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>23439026</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:41:58 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"af629460184cd3794cb7d9504e4db468ab...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026484\":{\"retired\":null,\"NX\":\"0.14356157\",\"...</td>\n",
       "      <td>5026484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>23439027</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:42:09 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"af629460184cd3794cb7d9504e4db468ab...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026478\":{\"retired\":null,\"NX\":\"0.5490651\",\"N...</td>\n",
       "      <td>5026478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>23439029</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:42:32 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"af629460184cd3794cb7d9504e4db468ab...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026476\":{\"retired\":null,\"NX\":\"0.59854376\",\"...</td>\n",
       "      <td>5026476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>23439031</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:42:58 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"af629460184cd3794cb7d9504e4db468ab...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026480\":{\"retired\":null,\"NX\":\"0.38636583\",\"...</td>\n",
       "      <td>5026480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>23439033</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:43:14 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"af629460184cd3794cb7d9504e4db468ab...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026481\":{\"retired\":null,\"NX\":\"0.3950835\",\"N...</td>\n",
       "      <td>5026481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>23439040</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:44:06 UTC</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"af629460184cd3794cb7d9504e4db468ab...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026473\":{\"retired\":null,\"NX\":\"0.60703784\",\"...</td>\n",
       "      <td>5026473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23439041</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:44:33 UTC</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"af629460184cd3794cb7d9504e4db468ab...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026477\":{\"retired\":null,\"NX\":\"0.36072057\",\"...</td>\n",
       "      <td>5026477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23439044</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:44:56 UTC</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"af629460184cd3794cb7d9504e4db468ab...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026475\":{\"retired\":null,\"NX\":\"0.67933244\",\"...</td>\n",
       "      <td>5026475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>23439048</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:45:15 UTC</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"af629460184cd3794cb7d9504e4db468ab...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026482\":{\"retired\":null,\"NX\":\"0.51024884\",\"...</td>\n",
       "      <td>5026482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>23439052</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:45:44 UTC</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"af629460184cd3794cb7d9504e4db468ab...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026488\":{\"retired\":null,\"NX\":\"0.5490651\",\"N...</td>\n",
       "      <td>5026488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>23439054</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:45:59 UTC</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"af629460184cd3794cb7d9504e4db468ab...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026485\":{\"retired\":null,\"NX\":\"0.35769105\",\"...</td>\n",
       "      <td>5026485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>23439059</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:46:32 UTC</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"af629460184cd3794cb7d9504e4db468ab...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026487\":{\"retired\":null,\"NX\":\"0.60703784\",\"...</td>\n",
       "      <td>5026487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>23439063</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2e6bfd41f3aff7d6cfd6</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-17 07:47:03 UTC</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"af629460184cd3794cb7d9504e4db468ab...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026473\":{\"retired\":null,\"NX\":\"0.60703784\",\"...</td>\n",
       "      <td>5026473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>23733813</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>db0276f1091bf1e68cc2</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-23 18:21:21 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"a1908c477ec427431723bfc32a6b60c004...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026488\":{\"retired\":null,\"NX\":\"0.5490651\",\"N...</td>\n",
       "      <td>5026488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>23733827</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>db0276f1091bf1e68cc2</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-23 18:22:27 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"a1908c477ec427431723bfc32a6b60c004...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026481\":{\"retired\":null,\"NX\":\"0.3950835\",\"N...</td>\n",
       "      <td>5026481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>23733832</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>db0276f1091bf1e68cc2</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-23 18:22:45 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"a1908c477ec427431723bfc32a6b60c004...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026480\":{\"retired\":null,\"NX\":\"0.38636583\",\"...</td>\n",
       "      <td>5026480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>23733837</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>db0276f1091bf1e68cc2</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-23 18:23:07 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"a1908c477ec427431723bfc32a6b60c004...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026473\":{\"retired\":null,\"NX\":\"0.60703784\",\"...</td>\n",
       "      <td>5026473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>23733844</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>db0276f1091bf1e68cc2</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-23 18:23:22 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"a1908c477ec427431723bfc32a6b60c004...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026482\":{\"retired\":null,\"NX\":\"0.51024884\",\"...</td>\n",
       "      <td>5026482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>23733848</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>db0276f1091bf1e68cc2</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-23 18:23:34 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"a1908c477ec427431723bfc32a6b60c004...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026475\":{\"retired\":null,\"NX\":\"0.67933244\",\"...</td>\n",
       "      <td>5026475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>23733853</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>db0276f1091bf1e68cc2</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-23 18:23:45 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"a1908c477ec427431723bfc32a6b60c004...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026477\":{\"retired\":null,\"NX\":\"0.36072057\",\"...</td>\n",
       "      <td>5026477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>23733858</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>db0276f1091bf1e68cc2</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-23 18:23:56 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"a1908c477ec427431723bfc32a6b60c004...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026481\":{\"retired\":null,\"NX\":\"0.3950835\",\"N...</td>\n",
       "      <td>5026481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>24018724</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2b4b509d09dbda0bc603</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:13:30 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"16f187f54b6a83634409501ba801d5fd44...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026488\":{\"retired\":null,\"NX\":\"0.5490651\",\"N...</td>\n",
       "      <td>5026488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>24018726</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2b4b509d09dbda0bc603</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:13:41 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"16f187f54b6a83634409501ba801d5fd44...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026485\":{\"retired\":null,\"NX\":\"0.35769105\",\"...</td>\n",
       "      <td>5026485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>24018729</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2b4b509d09dbda0bc603</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:13:50 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"16f187f54b6a83634409501ba801d5fd44...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026476\":{\"retired\":null,\"NX\":\"0.59854376\",\"...</td>\n",
       "      <td>5026476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>24018732</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2b4b509d09dbda0bc603</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:14:02 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"16f187f54b6a83634409501ba801d5fd44...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026484\":{\"retired\":null,\"NX\":\"0.14356157\",\"...</td>\n",
       "      <td>5026484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>24018734</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2b4b509d09dbda0bc603</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:14:19 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"16f187f54b6a83634409501ba801d5fd44...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026487\":{\"retired\":null,\"NX\":\"0.60703784\",\"...</td>\n",
       "      <td>5026487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>24018737</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2b4b509d09dbda0bc603</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:14:25 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"16f187f54b6a83634409501ba801d5fd44...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026483\":{\"retired\":null,\"NX\":\"0.44833302\",\"...</td>\n",
       "      <td>5026483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>24018740</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2b4b509d09dbda0bc603</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:14:39 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"16f187f54b6a83634409501ba801d5fd44...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026475\":{\"retired\":null,\"NX\":\"0.67933244\",\"...</td>\n",
       "      <td>5026475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>24018743</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2b4b509d09dbda0bc603</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:14:45 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"16f187f54b6a83634409501ba801d5fd44...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026478\":{\"retired\":null,\"NX\":\"0.5490651\",\"N...</td>\n",
       "      <td>5026478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>24018748</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2b4b509d09dbda0bc603</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:15:10 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"16f187f54b6a83634409501ba801d5fd44...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026486\":{\"retired\":null,\"NX\":\"0.2888574\",\"N...</td>\n",
       "      <td>5026486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>24018753</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2b4b509d09dbda0bc603</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:15:20 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"16f187f54b6a83634409501ba801d5fd44...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026473\":{\"retired\":null,\"NX\":\"0.60703784\",\"...</td>\n",
       "      <td>5026473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>24018756</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2b4b509d09dbda0bc603</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:15:32 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"16f187f54b6a83634409501ba801d5fd44...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026482\":{\"retired\":null,\"NX\":\"0.51024884\",\"...</td>\n",
       "      <td>5026482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>24018760</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2b4b509d09dbda0bc603</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:15:43 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"16f187f54b6a83634409501ba801d5fd44...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026477\":{\"retired\":null,\"NX\":\"0.36072057\",\"...</td>\n",
       "      <td>5026477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>24018765</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2b4b509d09dbda0bc603</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:15:59 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"16f187f54b6a83634409501ba801d5fd44...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026480\":{\"retired\":null,\"NX\":\"0.38636583\",\"...</td>\n",
       "      <td>5026480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>24018773</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2e99336269d34964aebb</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:17:13 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"7130ec8383e4f1cf5ae6d7df9585466252...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026478\":{\"retired\":null,\"NX\":\"0.5490651\",\"N...</td>\n",
       "      <td>5026478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>24018777</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2e99336269d34964aebb</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:17:35 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"7130ec8383e4f1cf5ae6d7df9585466252...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026473\":{\"retired\":null,\"NX\":\"0.60703784\",\"...</td>\n",
       "      <td>5026473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>24018783</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2e99336269d34964aebb</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:18:09 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"7130ec8383e4f1cf5ae6d7df9585466252...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026486\":{\"retired\":null,\"NX\":\"0.2888574\",\"N...</td>\n",
       "      <td>5026486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>24018786</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2e99336269d34964aebb</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:18:23 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"7130ec8383e4f1cf5ae6d7df9585466252...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026485\":{\"retired\":null,\"NX\":\"0.35769105\",\"...</td>\n",
       "      <td>5026485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>24018790</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2e99336269d34964aebb</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:18:41 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"7130ec8383e4f1cf5ae6d7df9585466252...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026488\":{\"retired\":null,\"NX\":\"0.5490651\",\"N...</td>\n",
       "      <td>5026488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>24018793</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2e99336269d34964aebb</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:19:05 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"7130ec8383e4f1cf5ae6d7df9585466252...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026487\":{\"retired\":null,\"NX\":\"0.60703784\",\"...</td>\n",
       "      <td>5026487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>24018796</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2e99336269d34964aebb</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:19:14 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"7130ec8383e4f1cf5ae6d7df9585466252...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026484\":{\"retired\":null,\"NX\":\"0.14356157\",\"...</td>\n",
       "      <td>5026484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>24018800</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2e99336269d34964aebb</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:19:23 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"7130ec8383e4f1cf5ae6d7df9585466252...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026483\":{\"retired\":null,\"NX\":\"0.44833302\",\"...</td>\n",
       "      <td>5026483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>24018803</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2e99336269d34964aebb</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:19:31 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"7130ec8383e4f1cf5ae6d7df9585466252...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026476\":{\"retired\":null,\"NX\":\"0.59854376\",\"...</td>\n",
       "      <td>5026476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>24018806</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2e99336269d34964aebb</td>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>57.37</td>\n",
       "      <td>2016-12-31 19:19:42 UTC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{\"session\":\"7130ec8383e4f1cf5ae6d7df9585466252...</td>\n",
       "      <td>[{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...</td>\n",
       "      <td>{\"5026475\":{\"retired\":null,\"NX\":\"0.67933244\",\"...</td>\n",
       "      <td>5026475</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>63 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    classification_id                           user_name  user_id  \\\n",
       "0            23386351                            lcjohnso  63325.0   \n",
       "1            23386400                            lcjohnso  63325.0   \n",
       "2            23386545                            lcjohnso  63325.0   \n",
       "3            23386573                            lcjohnso  63325.0   \n",
       "4            23386766                            lcjohnso  63325.0   \n",
       "5            23386868                            lcjohnso  63325.0   \n",
       "6            23386909                            lcjohnso  63325.0   \n",
       "7            23387182                            lcjohnso  63325.0   \n",
       "8            23387199                            lcjohnso  63325.0   \n",
       "9            23438985                            lcjohnso  63325.0   \n",
       "10           23438988                            lcjohnso  63325.0   \n",
       "11           23438990                            lcjohnso  63325.0   \n",
       "12           23439014                            lcjohnso  63325.0   \n",
       "13           23439016                            lcjohnso  63325.0   \n",
       "14           23439020                            lcjohnso  63325.0   \n",
       "15           23439025                            lcjohnso  63325.0   \n",
       "16           23439026                            lcjohnso  63325.0   \n",
       "17           23439027                            lcjohnso  63325.0   \n",
       "18           23439029                            lcjohnso  63325.0   \n",
       "19           23439031                            lcjohnso  63325.0   \n",
       "20           23439033                            lcjohnso  63325.0   \n",
       "21           23439040                            lcjohnso  63325.0   \n",
       "22           23439041                            lcjohnso  63325.0   \n",
       "23           23439044                            lcjohnso  63325.0   \n",
       "24           23439048                            lcjohnso  63325.0   \n",
       "25           23439052                            lcjohnso  63325.0   \n",
       "26           23439054                            lcjohnso  63325.0   \n",
       "27           23439059                            lcjohnso  63325.0   \n",
       "28           23439063                            lcjohnso  63325.0   \n",
       "29           23733813                            lcjohnso  63325.0   \n",
       "..                ...                                 ...      ...   \n",
       "33           23733827                            lcjohnso  63325.0   \n",
       "34           23733832                            lcjohnso  63325.0   \n",
       "35           23733837                            lcjohnso  63325.0   \n",
       "36           23733844                            lcjohnso  63325.0   \n",
       "37           23733848                            lcjohnso  63325.0   \n",
       "38           23733853                            lcjohnso  63325.0   \n",
       "39           23733858                            lcjohnso  63325.0   \n",
       "40           24018724  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "41           24018726  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "42           24018729  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "43           24018732  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "44           24018734  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "45           24018737  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "46           24018740  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "47           24018743  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "48           24018748  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "49           24018753  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "50           24018756  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "51           24018760  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "52           24018765  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "53           24018773  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "54           24018777  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "55           24018783  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "56           24018786  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "57           24018790  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "58           24018793  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "59           24018796  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "60           24018800  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "61           24018803  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "62           24018806  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "\n",
       "                 user_ip  workflow_id  workflow_name  workflow_version  \\\n",
       "0   2e6bfd41f3aff7d6cfd6         3149  Find Clusters             44.19   \n",
       "1   2e6bfd41f3aff7d6cfd6         3149  Find Clusters             44.19   \n",
       "2   2e6bfd41f3aff7d6cfd6         3149  Find Clusters             44.19   \n",
       "3   2e6bfd41f3aff7d6cfd6         3149  Find Clusters             44.19   \n",
       "4   2e6bfd41f3aff7d6cfd6         3149  Find Clusters             44.19   \n",
       "5   2e6bfd41f3aff7d6cfd6         3149  Find Clusters             44.19   \n",
       "6   2e6bfd41f3aff7d6cfd6         3149  Find Clusters             44.19   \n",
       "7   2e6bfd41f3aff7d6cfd6         3149  Find Clusters             49.26   \n",
       "8   2e6bfd41f3aff7d6cfd6         3149  Find Clusters             49.26   \n",
       "9   2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "10  2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "11  2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "12  2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "13  2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "14  2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "15  2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "16  2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "17  2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "18  2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "19  2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "20  2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "21  2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "22  2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "23  2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "24  2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "25  2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "26  2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "27  2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "28  2e6bfd41f3aff7d6cfd6         3149  Find Clusters             57.37   \n",
       "29  db0276f1091bf1e68cc2         3149  Find Clusters             57.37   \n",
       "..                   ...          ...            ...               ...   \n",
       "33  db0276f1091bf1e68cc2         3149  Find Clusters             57.37   \n",
       "34  db0276f1091bf1e68cc2         3149  Find Clusters             57.37   \n",
       "35  db0276f1091bf1e68cc2         3149  Find Clusters             57.37   \n",
       "36  db0276f1091bf1e68cc2         3149  Find Clusters             57.37   \n",
       "37  db0276f1091bf1e68cc2         3149  Find Clusters             57.37   \n",
       "38  db0276f1091bf1e68cc2         3149  Find Clusters             57.37   \n",
       "39  db0276f1091bf1e68cc2         3149  Find Clusters             57.37   \n",
       "40  2b4b509d09dbda0bc603         3149  Find Clusters             57.37   \n",
       "41  2b4b509d09dbda0bc603         3149  Find Clusters             57.37   \n",
       "42  2b4b509d09dbda0bc603         3149  Find Clusters             57.37   \n",
       "43  2b4b509d09dbda0bc603         3149  Find Clusters             57.37   \n",
       "44  2b4b509d09dbda0bc603         3149  Find Clusters             57.37   \n",
       "45  2b4b509d09dbda0bc603         3149  Find Clusters             57.37   \n",
       "46  2b4b509d09dbda0bc603         3149  Find Clusters             57.37   \n",
       "47  2b4b509d09dbda0bc603         3149  Find Clusters             57.37   \n",
       "48  2b4b509d09dbda0bc603         3149  Find Clusters             57.37   \n",
       "49  2b4b509d09dbda0bc603         3149  Find Clusters             57.37   \n",
       "50  2b4b509d09dbda0bc603         3149  Find Clusters             57.37   \n",
       "51  2b4b509d09dbda0bc603         3149  Find Clusters             57.37   \n",
       "52  2b4b509d09dbda0bc603         3149  Find Clusters             57.37   \n",
       "53  2e99336269d34964aebb         3149  Find Clusters             57.37   \n",
       "54  2e99336269d34964aebb         3149  Find Clusters             57.37   \n",
       "55  2e99336269d34964aebb         3149  Find Clusters             57.37   \n",
       "56  2e99336269d34964aebb         3149  Find Clusters             57.37   \n",
       "57  2e99336269d34964aebb         3149  Find Clusters             57.37   \n",
       "58  2e99336269d34964aebb         3149  Find Clusters             57.37   \n",
       "59  2e99336269d34964aebb         3149  Find Clusters             57.37   \n",
       "60  2e99336269d34964aebb         3149  Find Clusters             57.37   \n",
       "61  2e99336269d34964aebb         3149  Find Clusters             57.37   \n",
       "62  2e99336269d34964aebb         3149  Find Clusters             57.37   \n",
       "\n",
       "                 created_at gold_standard expert  \\\n",
       "0   2016-12-16 08:22:14 UTC           NaN    NaN   \n",
       "1   2016-12-16 08:24:05 UTC           NaN    NaN   \n",
       "2   2016-12-16 08:32:11 UTC           NaN    NaN   \n",
       "3   2016-12-16 08:33:35 UTC           NaN    NaN   \n",
       "4   2016-12-16 08:41:49 UTC           NaN    NaN   \n",
       "5   2016-12-16 08:46:13 UTC           NaN    NaN   \n",
       "6   2016-12-16 08:48:11 UTC           NaN    NaN   \n",
       "7   2016-12-16 09:08:49 UTC           NaN    NaN   \n",
       "8   2016-12-16 09:10:04 UTC           NaN    NaN   \n",
       "9   2016-12-17 07:33:40 UTC           NaN    NaN   \n",
       "10  2016-12-17 07:33:57 UTC           NaN    NaN   \n",
       "11  2016-12-17 07:34:04 UTC           NaN    NaN   \n",
       "12  2016-12-17 07:39:51 UTC          True  owner   \n",
       "13  2016-12-17 07:40:06 UTC           NaN    NaN   \n",
       "14  2016-12-17 07:40:45 UTC           NaN    NaN   \n",
       "15  2016-12-17 07:41:20 UTC           NaN    NaN   \n",
       "16  2016-12-17 07:41:58 UTC           NaN    NaN   \n",
       "17  2016-12-17 07:42:09 UTC           NaN    NaN   \n",
       "18  2016-12-17 07:42:32 UTC           NaN    NaN   \n",
       "19  2016-12-17 07:42:58 UTC           NaN    NaN   \n",
       "20  2016-12-17 07:43:14 UTC           NaN    NaN   \n",
       "21  2016-12-17 07:44:06 UTC          True    NaN   \n",
       "22  2016-12-17 07:44:33 UTC          True    NaN   \n",
       "23  2016-12-17 07:44:56 UTC          True    NaN   \n",
       "24  2016-12-17 07:45:15 UTC          True    NaN   \n",
       "25  2016-12-17 07:45:44 UTC          True    NaN   \n",
       "26  2016-12-17 07:45:59 UTC          True    NaN   \n",
       "27  2016-12-17 07:46:32 UTC          True    NaN   \n",
       "28  2016-12-17 07:47:03 UTC          True    NaN   \n",
       "29  2016-12-23 18:21:21 UTC           NaN    NaN   \n",
       "..                      ...           ...    ...   \n",
       "33  2016-12-23 18:22:27 UTC           NaN    NaN   \n",
       "34  2016-12-23 18:22:45 UTC           NaN    NaN   \n",
       "35  2016-12-23 18:23:07 UTC           NaN    NaN   \n",
       "36  2016-12-23 18:23:22 UTC           NaN    NaN   \n",
       "37  2016-12-23 18:23:34 UTC           NaN    NaN   \n",
       "38  2016-12-23 18:23:45 UTC           NaN    NaN   \n",
       "39  2016-12-23 18:23:56 UTC           NaN    NaN   \n",
       "40  2016-12-31 19:13:30 UTC           NaN    NaN   \n",
       "41  2016-12-31 19:13:41 UTC           NaN    NaN   \n",
       "42  2016-12-31 19:13:50 UTC           NaN    NaN   \n",
       "43  2016-12-31 19:14:02 UTC           NaN    NaN   \n",
       "44  2016-12-31 19:14:19 UTC           NaN    NaN   \n",
       "45  2016-12-31 19:14:25 UTC           NaN    NaN   \n",
       "46  2016-12-31 19:14:39 UTC           NaN    NaN   \n",
       "47  2016-12-31 19:14:45 UTC           NaN    NaN   \n",
       "48  2016-12-31 19:15:10 UTC           NaN    NaN   \n",
       "49  2016-12-31 19:15:20 UTC           NaN    NaN   \n",
       "50  2016-12-31 19:15:32 UTC           NaN    NaN   \n",
       "51  2016-12-31 19:15:43 UTC           NaN    NaN   \n",
       "52  2016-12-31 19:15:59 UTC           NaN    NaN   \n",
       "53  2016-12-31 19:17:13 UTC           NaN    NaN   \n",
       "54  2016-12-31 19:17:35 UTC           NaN    NaN   \n",
       "55  2016-12-31 19:18:09 UTC           NaN    NaN   \n",
       "56  2016-12-31 19:18:23 UTC           NaN    NaN   \n",
       "57  2016-12-31 19:18:41 UTC           NaN    NaN   \n",
       "58  2016-12-31 19:19:05 UTC           NaN    NaN   \n",
       "59  2016-12-31 19:19:14 UTC           NaN    NaN   \n",
       "60  2016-12-31 19:19:23 UTC           NaN    NaN   \n",
       "61  2016-12-31 19:19:31 UTC           NaN    NaN   \n",
       "62  2016-12-31 19:19:42 UTC           NaN    NaN   \n",
       "\n",
       "                                             metadata  \\\n",
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       "..                                                ...   \n",
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       "57  {\"session\":\"7130ec8383e4f1cf5ae6d7df9585466252...   \n",
       "58  {\"session\":\"7130ec8383e4f1cf5ae6d7df9585466252...   \n",
       "59  {\"session\":\"7130ec8383e4f1cf5ae6d7df9585466252...   \n",
       "60  {\"session\":\"7130ec8383e4f1cf5ae6d7df9585466252...   \n",
       "61  {\"session\":\"7130ec8383e4f1cf5ae6d7df9585466252...   \n",
       "62  {\"session\":\"7130ec8383e4f1cf5ae6d7df9585466252...   \n",
       "\n",
       "                                          annotations  \\\n",
       "0   [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "1   [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "2   [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "3   [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "4   [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "5   [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "6   [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "7   [{\"task\":\"T1\",\"task_label\":\"Anything objects t...   \n",
       "8   [{\"task\":\"T1\",\"task_label\":\"Anything objects t...   \n",
       "9   [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "10  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "11  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "12  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "13  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "14  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "15  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "16  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "17  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "18  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "19  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "20  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "21  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "22  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "23  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "24  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "25  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "26  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "27  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "28  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "29  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "..                                                ...   \n",
       "33  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "34  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "35  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "36  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "37  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "38  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "39  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "40  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "41  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "42  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "43  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "44  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "45  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "46  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "47  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "48  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "49  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "50  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "51  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "52  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "53  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "54  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "55  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "56  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "57  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "58  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "59  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "60  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "61  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "62  [{\"task\":\"T0\",\"task_label\":\"Draw circles aroun...   \n",
       "\n",
       "                                         subject_data  subject_ids  \n",
       "0   {\"5026478\":{\"retired\":null,\"NX\":\"0.5490651\",\"N...      5026478  \n",
       "1   {\"5026474\":{\"retired\":null,\"NX\":\"0.60703784\",\"...      5026474  \n",
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       "4   {\"5026486\":{\"retired\":null,\"NX\":\"0.2888574\",\"N...      5026486  \n",
       "5   {\"5026483\":{\"retired\":null,\"NX\":\"0.44833302\",\"...      5026483  \n",
       "6   {\"5026479\":{\"retired\":null,\"NX\":\"0.5490651\",\"N...      5026479  \n",
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       "8   {\"5026487\":{\"retired\":null,\"NX\":\"0.60703784\",\"...      5026487  \n",
       "9   {\"5026485\":{\"retired\":null,\"NX\":\"0.35769105\",\"...      5026485  \n",
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       "11  {\"5026481\":{\"retired\":null,\"NX\":\"0.3950835\",\"N...      5026481  \n",
       "12  {\"5026482\":{\"retired\":null,\"NX\":\"0.51024884\",\"...      5026482  \n",
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       "15  {\"5026473\":{\"retired\":null,\"NX\":\"0.60703784\",\"...      5026473  \n",
       "16  {\"5026484\":{\"retired\":null,\"NX\":\"0.14356157\",\"...      5026484  \n",
       "17  {\"5026478\":{\"retired\":null,\"NX\":\"0.5490651\",\"N...      5026478  \n",
       "18  {\"5026476\":{\"retired\":null,\"NX\":\"0.59854376\",\"...      5026476  \n",
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       "20  {\"5026481\":{\"retired\":null,\"NX\":\"0.3950835\",\"N...      5026481  \n",
       "21  {\"5026473\":{\"retired\":null,\"NX\":\"0.60703784\",\"...      5026473  \n",
       "22  {\"5026477\":{\"retired\":null,\"NX\":\"0.36072057\",\"...      5026477  \n",
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       "24  {\"5026482\":{\"retired\":null,\"NX\":\"0.51024884\",\"...      5026482  \n",
       "25  {\"5026488\":{\"retired\":null,\"NX\":\"0.5490651\",\"N...      5026488  \n",
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       "27  {\"5026487\":{\"retired\":null,\"NX\":\"0.60703784\",\"...      5026487  \n",
       "28  {\"5026473\":{\"retired\":null,\"NX\":\"0.60703784\",\"...      5026473  \n",
       "29  {\"5026488\":{\"retired\":null,\"NX\":\"0.5490651\",\"N...      5026488  \n",
       "..                                                ...          ...  \n",
       "33  {\"5026481\":{\"retired\":null,\"NX\":\"0.3950835\",\"N...      5026481  \n",
       "34  {\"5026480\":{\"retired\":null,\"NX\":\"0.38636583\",\"...      5026480  \n",
       "35  {\"5026473\":{\"retired\":null,\"NX\":\"0.60703784\",\"...      5026473  \n",
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       "37  {\"5026475\":{\"retired\":null,\"NX\":\"0.67933244\",\"...      5026475  \n",
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       "39  {\"5026481\":{\"retired\":null,\"NX\":\"0.3950835\",\"N...      5026481  \n",
       "40  {\"5026488\":{\"retired\":null,\"NX\":\"0.5490651\",\"N...      5026488  \n",
       "41  {\"5026485\":{\"retired\":null,\"NX\":\"0.35769105\",\"...      5026485  \n",
       "42  {\"5026476\":{\"retired\":null,\"NX\":\"0.59854376\",\"...      5026476  \n",
       "43  {\"5026484\":{\"retired\":null,\"NX\":\"0.14356157\",\"...      5026484  \n",
       "44  {\"5026487\":{\"retired\":null,\"NX\":\"0.60703784\",\"...      5026487  \n",
       "45  {\"5026483\":{\"retired\":null,\"NX\":\"0.44833302\",\"...      5026483  \n",
       "46  {\"5026475\":{\"retired\":null,\"NX\":\"0.67933244\",\"...      5026475  \n",
       "47  {\"5026478\":{\"retired\":null,\"NX\":\"0.5490651\",\"N...      5026478  \n",
       "48  {\"5026486\":{\"retired\":null,\"NX\":\"0.2888574\",\"N...      5026486  \n",
       "49  {\"5026473\":{\"retired\":null,\"NX\":\"0.60703784\",\"...      5026473  \n",
       "50  {\"5026482\":{\"retired\":null,\"NX\":\"0.51024884\",\"...      5026482  \n",
       "51  {\"5026477\":{\"retired\":null,\"NX\":\"0.36072057\",\"...      5026477  \n",
       "52  {\"5026480\":{\"retired\":null,\"NX\":\"0.38636583\",\"...      5026480  \n",
       "53  {\"5026478\":{\"retired\":null,\"NX\":\"0.5490651\",\"N...      5026478  \n",
       "54  {\"5026473\":{\"retired\":null,\"NX\":\"0.60703784\",\"...      5026473  \n",
       "55  {\"5026486\":{\"retired\":null,\"NX\":\"0.2888574\",\"N...      5026486  \n",
       "56  {\"5026485\":{\"retired\":null,\"NX\":\"0.35769105\",\"...      5026485  \n",
       "57  {\"5026488\":{\"retired\":null,\"NX\":\"0.5490651\",\"N...      5026488  \n",
       "58  {\"5026487\":{\"retired\":null,\"NX\":\"0.60703784\",\"...      5026487  \n",
       "59  {\"5026484\":{\"retired\":null,\"NX\":\"0.14356157\",\"...      5026484  \n",
       "60  {\"5026483\":{\"retired\":null,\"NX\":\"0.44833302\",\"...      5026483  \n",
       "61  {\"5026476\":{\"retired\":null,\"NX\":\"0.59854376\",\"...      5026476  \n",
       "62  {\"5026475\":{\"retired\":null,\"NX\":\"0.67933244\",\"...      5026475  \n",
       "\n",
       "[63 rows x 14 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classifications"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read-in and examine content of \"subjects\" and \"workflows\" table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "subjectsfile_in = 'ap-aas229-test-subjects.csv'\n",
    "subjects = pd.read_csv(subjectsfile_in)\n",
    "workflowsfile_in = 'ap-aas229-test-workflows.csv'\n",
    "workflows = pd.read_csv(workflowsfile_in)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
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       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>subject_id</th>\n",
       "      <th>project_id</th>\n",
       "      <th>workflow_ids</th>\n",
       "      <th>subject_set_ids</th>\n",
       "      <th>metadata</th>\n",
       "      <th>locations</th>\n",
       "      <th>classifications_by_workflow</th>\n",
       "      <th>retired_in_workflow</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>3627</td>\n",
       "      <td>[3149]</td>\n",
       "      <td>[7408]</td>\n",
       "      <td>{\"NX\":\"0.3950835\",\"NY\":\"0.3832495\",\"!RA\":\"11.4...</td>\n",
       "      <td>{\"0\":\"https://panoptes-uploads.zooniverse.org/...</td>\n",
       "      <td>{\"3149\":6}</td>\n",
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       "      <td>{\"0\":\"https://panoptes-uploads.zooniverse.org/...</td>\n",
       "      <td>{\"3149\":6}</td>\n",
       "      <td>[]</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>5026483</td>\n",
       "      <td>3627</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>5026484</td>\n",
       "      <td>3627</td>\n",
       "      <td>[3149]</td>\n",
       "      <td>[7408]</td>\n",
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       "      <td>{\"0\":\"https://panoptes-uploads.zooniverse.org/...</td>\n",
       "      <td>{\"3149\":6}</td>\n",
       "      <td>[]</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>5026485</td>\n",
       "      <td>3627</td>\n",
       "      <td>[3149]</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
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       "      <td>[3149]</td>\n",
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       "      <td>{\"0\":\"https://panoptes-uploads.zooniverse.org/...</td>\n",
       "      <td>{\"3149\":6}</td>\n",
       "      <td>[]</td>\n",
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       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>5026487</td>\n",
       "      <td>3627</td>\n",
       "      <td>[3149]</td>\n",
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       "      <td>{\"0\":\"https://panoptes-uploads.zooniverse.org/...</td>\n",
       "      <td>{\"3149\":6}</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5026488</td>\n",
       "      <td>3627</td>\n",
       "      <td>[3149]</td>\n",
       "      <td>[7409]</td>\n",
       "      <td>{\"NX\":\"0.5490651\",\"NY\":\"0.40016833\",\"!RA\":\"11....</td>\n",
       "      <td>{\"0\":\"https://panoptes-uploads.zooniverse.org/...</td>\n",
       "      <td>{\"3149\":6}</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    subject_id  project_id workflow_ids subject_set_ids  \\\n",
       "0      5026473        3627       [3149]          [7408]   \n",
       "1      5026475        3627       [3149]          [7408]   \n",
       "2      5026476        3627       [3149]          [7408]   \n",
       "3      5026477        3627       [3149]          [7408]   \n",
       "4      5026478        3627       [3149]          [7408]   \n",
       "5      5026480        3627       [3149]          [7408]   \n",
       "6      5026481        3627       [3149]          [7408]   \n",
       "7      5026482        3627       [3149]          [7408]   \n",
       "8      5026483        3627       [3149]          [7408]   \n",
       "9      5026484        3627       [3149]          [7408]   \n",
       "10     5026485        3627       [3149]          [7408]   \n",
       "11     5026486        3627       [3149]          [7408]   \n",
       "12     5026487        3627       [3149]          [7409]   \n",
       "13     5026488        3627       [3149]          [7409]   \n",
       "\n",
       "                                             metadata  \\\n",
       "0   {\"NX\":\"0.60703784\",\"NY\":\"0.9055836\",\"!RA\":\"11....   \n",
       "1   {\"NX\":\"0.67933244\",\"NY\":\"0.8019534\",\"!RA\":\"10....   \n",
       "2   {\"NX\":\"0.59854376\",\"NY\":\"0.6871925\",\"!RA\":\"11....   \n",
       "3   {\"NX\":\"0.36072057\",\"NY\":\"0.5484215\",\"!RA\":\"11....   \n",
       "4   {\"NX\":\"0.5490651\",\"NY\":\"0.40016833\",\"!RA\":\"11....   \n",
       "5   {\"NX\":\"0.38636583\",\"NY\":\"0.38113895\",\"!RA\":\"11...   \n",
       "6   {\"NX\":\"0.3950835\",\"NY\":\"0.3832495\",\"!RA\":\"11.4...   \n",
       "7   {\"NX\":\"0.51024884\",\"NY\":\"0.26873538\",\"!RA\":\"11...   \n",
       "8   {\"NX\":\"0.44833302\",\"NY\":\"0.26383436\",\"!RA\":\"11...   \n",
       "9   {\"NX\":\"0.14356157\",\"NY\":\"0.21191244\",\"!RA\":\"11...   \n",
       "10  {\"NX\":\"0.35769105\",\"NY\":\"0.14440192\",\"!RA\":\"11...   \n",
       "11  {\"NX\":\"0.2888574\",\"NY\":\"0.09115138\",\"!RA\":\"11....   \n",
       "12  {\"NX\":\"0.60703784\",\"NY\":\"0.9055836\",\"!RA\":\"11....   \n",
       "13  {\"NX\":\"0.5490651\",\"NY\":\"0.40016833\",\"!RA\":\"11....   \n",
       "\n",
       "                                            locations  \\\n",
       "0   {\"0\":\"https://panoptes-uploads.zooniverse.org/...   \n",
       "1   {\"0\":\"https://panoptes-uploads.zooniverse.org/...   \n",
       "2   {\"0\":\"https://panoptes-uploads.zooniverse.org/...   \n",
       "3   {\"0\":\"https://panoptes-uploads.zooniverse.org/...   \n",
       "4   {\"0\":\"https://panoptes-uploads.zooniverse.org/...   \n",
       "5   {\"0\":\"https://panoptes-uploads.zooniverse.org/...   \n",
       "6   {\"0\":\"https://panoptes-uploads.zooniverse.org/...   \n",
       "7   {\"0\":\"https://panoptes-uploads.zooniverse.org/...   \n",
       "8   {\"0\":\"https://panoptes-uploads.zooniverse.org/...   \n",
       "9   {\"0\":\"https://panoptes-uploads.zooniverse.org/...   \n",
       "10  {\"0\":\"https://panoptes-uploads.zooniverse.org/...   \n",
       "11  {\"0\":\"https://panoptes-uploads.zooniverse.org/...   \n",
       "12  {\"0\":\"https://panoptes-uploads.zooniverse.org/...   \n",
       "13  {\"0\":\"https://panoptes-uploads.zooniverse.org/...   \n",
       "\n",
       "   classifications_by_workflow retired_in_workflow  \n",
       "0                   {\"3149\":6}                  []  \n",
       "1                   {\"3149\":6}                  []  \n",
       "2                   {\"3149\":6}                  []  \n",
       "3                   {\"3149\":6}                  []  \n",
       "4                   {\"3149\":6}                  []  \n",
       "5                   {\"3149\":6}                  []  \n",
       "6                   {\"3149\":6}                  []  \n",
       "7                   {\"3149\":6}                  []  \n",
       "8                   {\"3149\":6}                  []  \n",
       "9                   {\"3149\":6}                  []  \n",
       "10                  {\"3149\":6}                  []  \n",
       "11                  {\"3149\":6}                  []  \n",
       "12                  {\"3149\":6}                  []  \n",
       "13                  {\"3149\":6}                  []  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subjects"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>workflow_id</th>\n",
       "      <th>display_name</th>\n",
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       "      <th>active</th>\n",
       "      <th>classifications_count</th>\n",
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       "      <td>T1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>51</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>50</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>49</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>48</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>47</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>46</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>45</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>44</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>43</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>42</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>41</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>40</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>39</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>38</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>37</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>36</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>35</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>34</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>33</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>32</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>31</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>30</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>29</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>28</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>27</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>26</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>25</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>24</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>23</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>22</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>21</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>20</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>19</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>17</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>16</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>15</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>14</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>13</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>11</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>10</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>9</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>8</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>7</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>6</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>5</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>4</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>3</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>2</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>T0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>3149</td>\n",
       "      <td>Find Clusters</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>en</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>{}</td>\n",
       "      <td>{\"criteria\":\"classification_count\",\"options\":{...</td>\n",
       "      <td>{}</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    workflow_id   display_name  version active  classifications_count  \\\n",
       "0          3149  Find Clusters       57   True                     57   \n",
       "1          3149  Find Clusters       56   True                      0   \n",
       "2          3149  Find Clusters       55   True                      0   \n",
       "3          3149  Find Clusters       54   True                      0   \n",
       "4          3149  Find Clusters       53   True                      0   \n",
       "5          3149  Find Clusters       52   True                      0   \n",
       "6          3149  Find Clusters       51   True                      0   \n",
       "7          3149  Find Clusters       50   True                      0   \n",
       "8          3149  Find Clusters       49   True                      0   \n",
       "9          3149  Find Clusters       48   True                      0   \n",
       "10         3149  Find Clusters       47   True                      0   \n",
       "11         3149  Find Clusters       46   True                      0   \n",
       "12         3149  Find Clusters       45   True                      0   \n",
       "13         3149  Find Clusters       44   True                      0   \n",
       "14         3149  Find Clusters       43   True                      0   \n",
       "15         3149  Find Clusters       42   True                      0   \n",
       "16         3149  Find Clusters       41   True                      0   \n",
       "17         3149  Find Clusters       40   True                      0   \n",
       "18         3149  Find Clusters       39   True                      0   \n",
       "19         3149  Find Clusters       38   True                      0   \n",
       "20         3149  Find Clusters       37   True                      0   \n",
       "21         3149  Find Clusters       36   True                      0   \n",
       "22         3149  Find Clusters       35   True                      0   \n",
       "23         3149  Find Clusters       34   True                      0   \n",
       "24         3149  Find Clusters       33   True                      0   \n",
       "25         3149  Find Clusters       32   True                      0   \n",
       "26         3149  Find Clusters       31   True                      0   \n",
       "27         3149  Find Clusters       30   True                      0   \n",
       "28         3149  Find Clusters       29   True                      0   \n",
       "29         3149  Find Clusters       28   True                      0   \n",
       "30         3149  Find Clusters       27   True                      0   \n",
       "31         3149  Find Clusters       26   True                      0   \n",
       "32         3149  Find Clusters       25   True                      0   \n",
       "33         3149  Find Clusters       24   True                      0   \n",
       "34         3149  Find Clusters       23   True                      0   \n",
       "35         3149  Find Clusters       22   True                      0   \n",
       "36         3149  Find Clusters       21   True                      0   \n",
       "37         3149  Find Clusters       20   True                      0   \n",
       "38         3149  Find Clusters       19   True                      0   \n",
       "39         3149  Find Clusters       18   True                      0   \n",
       "40         3149  Find Clusters       17   True                      0   \n",
       "41         3149  Find Clusters       16   True                      0   \n",
       "42         3149  Find Clusters       15   True                      0   \n",
       "43         3149  Find Clusters       14   True                      0   \n",
       "44         3149  Find Clusters       13   True                      0   \n",
       "45         3149  Find Clusters       12   True                      0   \n",
       "46         3149  Find Clusters       11   True                      0   \n",
       "47         3149  Find Clusters       10   True                      0   \n",
       "48         3149  Find Clusters        9   True                      0   \n",
       "49         3149  Find Clusters        8   True                      0   \n",
       "50         3149  Find Clusters        7   True                      0   \n",
       "51         3149  Find Clusters        6   True                      0   \n",
       "52         3149  Find Clusters        5   True                      0   \n",
       "53         3149  Find Clusters        4   True                      0   \n",
       "54         3149  Find Clusters        3   True                      0   \n",
       "55         3149  Find Clusters        2   True                      0   \n",
       "56         3149  Find Clusters        1   True                      0   \n",
       "\n",
       "   pairwise grouped prioritized primary_language first_task  \\\n",
       "0     False   False       False               en         T0   \n",
       "1     False   False       False               en         T0   \n",
       "2     False   False       False               en         T0   \n",
       "3     False   False       False               en         T0   \n",
       "4     False   False       False               en         T0   \n",
       "5     False   False       False               en         T1   \n",
       "6     False   False       False               en         T1   \n",
       "7     False   False       False               en         T1   \n",
       "8     False   False       False               en         T1   \n",
       "9     False   False       False               en         T0   \n",
       "10    False   False       False               en         T0   \n",
       "11    False   False       False               en         T0   \n",
       "12    False   False       False               en         T0   \n",
       "13    False   False       False               en         T0   \n",
       "14    False   False       False               en         T0   \n",
       "15    False   False       False               en         T0   \n",
       "16    False   False       False               en         T0   \n",
       "17    False   False       False               en         T0   \n",
       "18    False   False       False               en         T0   \n",
       "19    False   False       False               en         T0   \n",
       "20    False   False       False               en         T0   \n",
       "21    False   False       False               en         T0   \n",
       "22    False   False       False               en         T0   \n",
       "23    False   False       False               en         T0   \n",
       "24    False   False       False               en         T0   \n",
       "25    False   False       False               en         T0   \n",
       "26    False   False       False               en         T0   \n",
       "27    False   False       False               en         T0   \n",
       "28    False   False       False               en         T0   \n",
       "29    False   False       False               en         T0   \n",
       "30    False   False       False               en         T0   \n",
       "31    False   False       False               en         T0   \n",
       "32    False   False       False               en         T0   \n",
       "33    False   False       False               en         T0   \n",
       "34    False   False       False               en         T0   \n",
       "35    False   False       False               en         T0   \n",
       "36    False   False       False               en         T0   \n",
       "37    False   False       False               en         T0   \n",
       "38    False   False       False               en         T0   \n",
       "39    False   False       False               en         T0   \n",
       "40    False   False       False               en         T0   \n",
       "41    False   False       False               en         T0   \n",
       "42    False   False       False               en         T0   \n",
       "43    False   False       False               en         T0   \n",
       "44    False   False       False               en         T0   \n",
       "45    False   False       False               en         T0   \n",
       "46    False   False       False               en         T0   \n",
       "47    False   False       False               en         T0   \n",
       "48    False   False       False               en         T0   \n",
       "49    False   False       False               en         T0   \n",
       "50    False   False       False               en         T0   \n",
       "51    False   False       False               en         T0   \n",
       "52    False   False       False               en         T0   \n",
       "53    False   False       False               en         T0   \n",
       "54    False   False       False               en         T0   \n",
       "55    False   False       False               en         T0   \n",
       "56    False   False       False               en        NaN   \n",
       "\n",
       "    tutorial_subject_id  retired_set_member_subjects_count  \\\n",
       "0                   NaN                                  0   \n",
       "1                   NaN                                  0   \n",
       "2                   NaN                                  0   \n",
       "3                   NaN                                  0   \n",
       "4                   NaN                                  0   \n",
       "5                   NaN                                  0   \n",
       "6                   NaN                                  0   \n",
       "7                   NaN                                  0   \n",
       "8                   NaN                                  0   \n",
       "9                   NaN                                  0   \n",
       "10                  NaN                                  0   \n",
       "11                  NaN                                  0   \n",
       "12                  NaN                                  0   \n",
       "13                  NaN                                  0   \n",
       "14                  NaN                                  0   \n",
       "15                  NaN                                  0   \n",
       "16                  NaN                                  0   \n",
       "17                  NaN                                  0   \n",
       "18                  NaN                                  0   \n",
       "19                  NaN                                  0   \n",
       "20                  NaN                                  0   \n",
       "21                  NaN                                  0   \n",
       "22                  NaN                                  0   \n",
       "23                  NaN                                  0   \n",
       "24                  NaN                                  0   \n",
       "25                  NaN                                  0   \n",
       "26                  NaN                                  0   \n",
       "27                  NaN                                  0   \n",
       "28                  NaN                                  0   \n",
       "29                  NaN                                  0   \n",
       "30                  NaN                                  0   \n",
       "31                  NaN                                  0   \n",
       "32                  NaN                                  0   \n",
       "33                  NaN                                  0   \n",
       "34                  NaN                                  0   \n",
       "35                  NaN                                  0   \n",
       "36                  NaN                                  0   \n",
       "37                  NaN                                  0   \n",
       "38                  NaN                                  0   \n",
       "39                  NaN                                  0   \n",
       "40                  NaN                                  0   \n",
       "41                  NaN                                  0   \n",
       "42                  NaN                                  0   \n",
       "43                  NaN                                  0   \n",
       "44                  NaN                                  0   \n",
       "45                  NaN                                  0   \n",
       "46                  NaN                                  0   \n",
       "47                  NaN                                  0   \n",
       "48                  NaN                                  0   \n",
       "49                  NaN                                  0   \n",
       "50                  NaN                                  0   \n",
       "51                  NaN                                  0   \n",
       "52                  NaN                                  0   \n",
       "53                  NaN                                  0   \n",
       "54                  NaN                                  0   \n",
       "55                  NaN                                  0   \n",
       "56                  NaN                                  0   \n",
       "\n",
       "                                                tasks  \\\n",
       "0   {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "1   {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "2   {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "3   {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "4   {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "5   {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "6   {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "7   {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "8   {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "9   {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "10  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "11  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "12  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "13  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "14  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "15  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "16  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "17  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "18  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "19  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "20  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "21  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "22  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "23  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "24  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "25  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "26  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "27  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "28  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "29  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "30  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "31  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "32  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "33  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "34  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "35  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "36  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "37  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "38  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "39  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "40  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "41  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "42  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "43  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "44  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "45  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "46  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "47  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "48  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "49  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "50  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "51  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "52  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "53  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "54  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "55  {\"T0\":{\"help\":\"T0.help\",\"type\":\"drawing\",\"tool...   \n",
       "56                                                 {}   \n",
       "\n",
       "                                           retirement aggregation  \n",
       "0   {\"options\":{\"count\":8},\"criteria\":\"classificat...          {}  \n",
       "1   {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "2   {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "3   {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "4   {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "5   {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "6   {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "7   {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "8   {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "9   {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "10  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "11  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "12  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "13  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "14  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "15  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "16  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "17  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "18  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "19  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "20  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "21  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "22  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "23  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "24  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "25  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "26  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "27  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "28  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "29  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "30  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "31  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "32  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "33  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "34  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "35  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "36  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "37  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "38  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "39  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "40  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "41  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "42  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "43  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "44  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "45  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "46  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "47  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "48  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "49  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "50  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "51  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "52  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "53  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "54  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "55  {\"criteria\":\"classification_count\",\"options\":{...          {}  \n",
       "56  {\"criteria\":\"classification_count\",\"options\":{...          {}  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "workflows"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Expanding JSON Fields\n",
    "\n",
    "These commands converts JSON strings into python dictionaries, providing access to key-value pairs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "classifications['metadata_json'] = [json.loads(q) for q in classifications.metadata]\n",
    "classifications['annotations_json'] = [json.loads(q) for q in classifications.annotations]\n",
    "classifications['subject_data_json'] = [json.loads(q) for q in classifications.subject_data]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Understanding the fields of the annotations data:\n",
    "\n",
    "table | table column | classification index | task index | task column = value | marking index | marking column = data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'angle': -3.945186229037537,\n",
       " 'details': [],\n",
       " 'frame': 0,\n",
       " 'r': 31.63960131428278,\n",
       " 'tool': 1,\n",
       " 'tool_label': 'Background Galaxy',\n",
       " 'x': 423.2312925170068,\n",
       " 'y': 169.79591836734696}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classifications['annotations_json'][1][0]['value'][1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "375.3401360544218"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classifications['annotations_json'][1][0]['value'][0]['x']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating a new column based on classification data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "classifications['n_markings'] = [ len(q[0]['value']) for q in classifications.annotations_json ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Helpful (optional) subselection of classification data: only work with data from most recent version of site & workflow."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "54"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iclass = classifications[classifications.workflow_version == classifications['workflow_version'].max()]\n",
    "len(iclass)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating A New Output File"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# output markings from 31 classifications in iclass to csv\n",
    "clist=[]\n",
    "for index, c in iclass.iterrows():\n",
    "    if c['n_markings'] > 0:\n",
    "        for q in c.annotations_json[0]['value']:\n",
    "            clist.append({'classification_id':c.classification_id, 'user_name':c.user_name, 'user_id':c.user_id,\n",
    "                          'created_at':c.created_at, 'subject_ids':c.subject_ids, 'tool':q['tool'], \n",
    "                          'tool_label':q['tool_label'], 'x':q['x'], 'y':q['y'], 'r':q['r'], 'frame':q['frame']})\n",
    "\n",
    "col_order=['classification_id','user_name','user_id','created_at','subject_ids',\n",
    "           'tool','tool_label','x','y','r','frame']\n",
    "out=pd.DataFrame(clist)[col_order]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>classification_id</th>\n",
       "      <th>user_name</th>\n",
       "      <th>user_id</th>\n",
       "      <th>created_at</th>\n",
       "      <th>subject_ids</th>\n",
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       "      <th>x</th>\n",
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       "      <td>23438985</td>\n",
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       "      <td>Cluster</td>\n",
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       "      <td>lcjohnso</td>\n",
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       "      <td>2016-12-17 07:33:57 UTC</td>\n",
       "      <td>5026475</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>189.169840</td>\n",
       "      <td>98.492781</td>\n",
       "      <td>36.285083</td>\n",
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       "      <td>lcjohnso</td>\n",
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       "      <td>2016-12-17 07:34:04 UTC</td>\n",
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       "      <td>2016-12-17 07:39:51 UTC</td>\n",
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       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:40:06 UTC</td>\n",
       "      <td>5026477</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>137.384975</td>\n",
       "      <td>154.339204</td>\n",
       "      <td>74.815673</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>23439020</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:40:45 UTC</td>\n",
       "      <td>5026488</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>152.615818</td>\n",
       "      <td>182.770109</td>\n",
       "      <td>42.803214</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>23439020</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:40:45 UTC</td>\n",
       "      <td>5026488</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>318.124306</td>\n",
       "      <td>101.538950</td>\n",
       "      <td>20.709963</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>23439025</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:41:20 UTC</td>\n",
       "      <td>5026473</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>376.001507</td>\n",
       "      <td>185.816278</td>\n",
       "      <td>29.568588</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>23439025</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:41:20 UTC</td>\n",
       "      <td>5026473</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>423.724814</td>\n",
       "      <td>169.570046</td>\n",
       "      <td>11.215344</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>23439025</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:41:20 UTC</td>\n",
       "      <td>5026473</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>330.308980</td>\n",
       "      <td>457.940663</td>\n",
       "      <td>14.644156</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>23439025</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:41:20 UTC</td>\n",
       "      <td>5026473</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>5.384341</td>\n",
       "      <td>359.447882</td>\n",
       "      <td>14.215453</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>23439029</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:42:32 UTC</td>\n",
       "      <td>5026476</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>430.832540</td>\n",
       "      <td>196.985562</td>\n",
       "      <td>175.674121</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>23439031</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:42:58 UTC</td>\n",
       "      <td>5026480</td>\n",
       "      <td>2</td>\n",
       "      <td>Other Object</td>\n",
       "      <td>202.369903</td>\n",
       "      <td>146.216088</td>\n",
       "      <td>61.462525</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>23439033</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:43:14 UTC</td>\n",
       "      <td>5026481</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>281.570284</td>\n",
       "      <td>238.616532</td>\n",
       "      <td>54.915583</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>23439040</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:44:06 UTC</td>\n",
       "      <td>5026473</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>377.016897</td>\n",
       "      <td>185.816278</td>\n",
       "      <td>32.269583</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>23439040</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:44:06 UTC</td>\n",
       "      <td>5026473</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>424.740203</td>\n",
       "      <td>170.585436</td>\n",
       "      <td>14.215453</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>23439040</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:44:06 UTC</td>\n",
       "      <td>5026473</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>329.293590</td>\n",
       "      <td>455.909884</td>\n",
       "      <td>16.246232</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>23439040</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:44:06 UTC</td>\n",
       "      <td>5026473</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>7.415120</td>\n",
       "      <td>362.494050</td>\n",
       "      <td>20.307790</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>23439041</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:44:33 UTC</td>\n",
       "      <td>5026477</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>133.323417</td>\n",
       "      <td>154.339204</td>\n",
       "      <td>58.161525</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>23439044</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:44:56 UTC</td>\n",
       "      <td>5026475</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>192.216008</td>\n",
       "      <td>96.462002</td>\n",
       "      <td>48.249702</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>23439048</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:45:15 UTC</td>\n",
       "      <td>5026482</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>610.556481</td>\n",
       "      <td>304.616849</td>\n",
       "      <td>201.623221</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>23439052</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:45:44 UTC</td>\n",
       "      <td>5026488</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>154.646597</td>\n",
       "      <td>184.800888</td>\n",
       "      <td>41.120141</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23439052</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:45:44 UTC</td>\n",
       "      <td>5026488</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>320.155085</td>\n",
       "      <td>101.538950</td>\n",
       "      <td>14.142739</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23439059</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:46:32 UTC</td>\n",
       "      <td>5026487</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>379.047676</td>\n",
       "      <td>185.816278</td>\n",
       "      <td>34.894551</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>23439059</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:46:32 UTC</td>\n",
       "      <td>5026487</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>263.293273</td>\n",
       "      <td>256.893543</td>\n",
       "      <td>36.242436</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>23439059</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:46:32 UTC</td>\n",
       "      <td>5026487</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>424.740203</td>\n",
       "      <td>169.570046</td>\n",
       "      <td>11.169284</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>23439059</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:46:32 UTC</td>\n",
       "      <td>5026487</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>328.278201</td>\n",
       "      <td>456.925274</td>\n",
       "      <td>17.261621</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>23439059</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:46:32 UTC</td>\n",
       "      <td>5026487</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>5.384341</td>\n",
       "      <td>360.463271</td>\n",
       "      <td>16.246232</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>23439063</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:47:03 UTC</td>\n",
       "      <td>5026473</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>377.016897</td>\n",
       "      <td>185.816278</td>\n",
       "      <td>30.881866</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>23439063</td>\n",
       "      <td>lcjohnso</td>\n",
       "      <td>63325.0</td>\n",
       "      <td>2016-12-17 07:47:03 UTC</td>\n",
       "      <td>5026473</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>423.724814</td>\n",
       "      <td>169.570046</td>\n",
       "      <td>11.352400</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>24018734</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:14:19 UTC</td>\n",
       "      <td>5026487</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>262.277884</td>\n",
       "      <td>258.924322</td>\n",
       "      <td>39.600190</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>24018740</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:14:39 UTC</td>\n",
       "      <td>5026475</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>187.139061</td>\n",
       "      <td>99.508171</td>\n",
       "      <td>44.861374</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>24018748</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:15:10 UTC</td>\n",
       "      <td>5026486</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>523.232984</td>\n",
       "      <td>158.400762</td>\n",
       "      <td>38.584801</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>24018748</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:15:10 UTC</td>\n",
       "      <td>5026486</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>438.955656</td>\n",
       "      <td>331.016976</td>\n",
       "      <td>177.487063</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>24018748</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:15:10 UTC</td>\n",
       "      <td>5026486</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>357.724496</td>\n",
       "      <td>485.356180</td>\n",
       "      <td>98.319909</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>24018753</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:15:20 UTC</td>\n",
       "      <td>5026473</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>378.032286</td>\n",
       "      <td>184.800888</td>\n",
       "      <td>40.168891</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>24018756</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:15:32 UTC</td>\n",
       "      <td>5026482</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>614.618039</td>\n",
       "      <td>305.632239</td>\n",
       "      <td>202.531392</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>24018760</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:15:43 UTC</td>\n",
       "      <td>5026477</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>132.308028</td>\n",
       "      <td>155.354593</td>\n",
       "      <td>61.344990</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>24018765</td>\n",
       "      <td>not-logged-in-2b4b509d09dbda0bc603</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:15:59 UTC</td>\n",
       "      <td>5026480</td>\n",
       "      <td>2</td>\n",
       "      <td>Other Object</td>\n",
       "      <td>206.431461</td>\n",
       "      <td>143.169919</td>\n",
       "      <td>65.530000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>24018773</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:17:13 UTC</td>\n",
       "      <td>5026478</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>318.124306</td>\n",
       "      <td>101.538950</td>\n",
       "      <td>24.369348</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>24018777</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:17:35 UTC</td>\n",
       "      <td>5026473</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>377.016897</td>\n",
       "      <td>184.800888</td>\n",
       "      <td>38.222368</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>24018777</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:17:35 UTC</td>\n",
       "      <td>5026473</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>422.709424</td>\n",
       "      <td>169.570046</td>\n",
       "      <td>18.277011</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>24018777</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:17:35 UTC</td>\n",
       "      <td>5026473</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>330.308980</td>\n",
       "      <td>455.909884</td>\n",
       "      <td>25.566854</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>24018777</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:17:35 UTC</td>\n",
       "      <td>5026473</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>7.415120</td>\n",
       "      <td>360.463271</td>\n",
       "      <td>29.446295</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>24018777</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:17:35 UTC</td>\n",
       "      <td>5026473</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>497.848247</td>\n",
       "      <td>38.584801</td>\n",
       "      <td>29.446295</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>24018783</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:18:09 UTC</td>\n",
       "      <td>5026486</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>523.232984</td>\n",
       "      <td>158.400762</td>\n",
       "      <td>46.707917</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>24018783</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:18:09 UTC</td>\n",
       "      <td>5026486</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>358.739886</td>\n",
       "      <td>484.340790</td>\n",
       "      <td>103.075788</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>24018783</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:18:09 UTC</td>\n",
       "      <td>5026486</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>440.986435</td>\n",
       "      <td>336.093924</td>\n",
       "      <td>183.855609</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>24018783</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:18:09 UTC</td>\n",
       "      <td>5026486</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>263.293273</td>\n",
       "      <td>332.032366</td>\n",
       "      <td>33.260788</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>24018790</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:18:41 UTC</td>\n",
       "      <td>5026488</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>154.646597</td>\n",
       "      <td>183.785499</td>\n",
       "      <td>47.561000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>24018790</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:18:41 UTC</td>\n",
       "      <td>5026488</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>319.139695</td>\n",
       "      <td>99.508171</td>\n",
       "      <td>27.621581</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>24018793</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:19:05 UTC</td>\n",
       "      <td>5026487</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>378.032286</td>\n",
       "      <td>182.770109</td>\n",
       "      <td>38.235853</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>24018793</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:19:05 UTC</td>\n",
       "      <td>5026487</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>265.324052</td>\n",
       "      <td>258.924322</td>\n",
       "      <td>40.666318</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>24018793</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:19:05 UTC</td>\n",
       "      <td>5026487</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>496.832857</td>\n",
       "      <td>39.600190</td>\n",
       "      <td>28.430906</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>24018793</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:19:05 UTC</td>\n",
       "      <td>5026487</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>423.724814</td>\n",
       "      <td>169.570046</td>\n",
       "      <td>18.277011</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>24018793</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:19:05 UTC</td>\n",
       "      <td>5026487</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>327.262811</td>\n",
       "      <td>456.925274</td>\n",
       "      <td>29.880758</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>24018793</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:19:05 UTC</td>\n",
       "      <td>5026487</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>5.384341</td>\n",
       "      <td>359.447882</td>\n",
       "      <td>28.430906</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>24018800</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:19:23 UTC</td>\n",
       "      <td>5026483</td>\n",
       "      <td>1</td>\n",
       "      <td>Background Galaxy</td>\n",
       "      <td>162.769713</td>\n",
       "      <td>267.047438</td>\n",
       "      <td>43.661748</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>24018803</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:19:31 UTC</td>\n",
       "      <td>5026476</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>425.755593</td>\n",
       "      <td>194.954783</td>\n",
       "      <td>160.957652</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>24018806</td>\n",
       "      <td>not-logged-in-2e99336269d34964aebb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-12-31 19:19:42 UTC</td>\n",
       "      <td>5026475</td>\n",
       "      <td>0</td>\n",
       "      <td>Cluster</td>\n",
       "      <td>190.185229</td>\n",
       "      <td>98.492781</td>\n",
       "      <td>48.494815</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>80 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    classification_id                           user_name  user_id  \\\n",
       "0            23438985                            lcjohnso  63325.0   \n",
       "1            23438988                            lcjohnso  63325.0   \n",
       "2            23438990                            lcjohnso  63325.0   \n",
       "3            23439014                            lcjohnso  63325.0   \n",
       "4            23439016                            lcjohnso  63325.0   \n",
       "5            23439020                            lcjohnso  63325.0   \n",
       "6            23439020                            lcjohnso  63325.0   \n",
       "7            23439025                            lcjohnso  63325.0   \n",
       "8            23439025                            lcjohnso  63325.0   \n",
       "9            23439025                            lcjohnso  63325.0   \n",
       "10           23439025                            lcjohnso  63325.0   \n",
       "11           23439029                            lcjohnso  63325.0   \n",
       "12           23439031                            lcjohnso  63325.0   \n",
       "13           23439033                            lcjohnso  63325.0   \n",
       "14           23439040                            lcjohnso  63325.0   \n",
       "15           23439040                            lcjohnso  63325.0   \n",
       "16           23439040                            lcjohnso  63325.0   \n",
       "17           23439040                            lcjohnso  63325.0   \n",
       "18           23439041                            lcjohnso  63325.0   \n",
       "19           23439044                            lcjohnso  63325.0   \n",
       "20           23439048                            lcjohnso  63325.0   \n",
       "21           23439052                            lcjohnso  63325.0   \n",
       "22           23439052                            lcjohnso  63325.0   \n",
       "23           23439059                            lcjohnso  63325.0   \n",
       "24           23439059                            lcjohnso  63325.0   \n",
       "25           23439059                            lcjohnso  63325.0   \n",
       "26           23439059                            lcjohnso  63325.0   \n",
       "27           23439059                            lcjohnso  63325.0   \n",
       "28           23439063                            lcjohnso  63325.0   \n",
       "29           23439063                            lcjohnso  63325.0   \n",
       "..                ...                                 ...      ...   \n",
       "50           24018734  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "51           24018740  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "52           24018748  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "53           24018748  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "54           24018748  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "55           24018753  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "56           24018756  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "57           24018760  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "58           24018765  not-logged-in-2b4b509d09dbda0bc603      NaN   \n",
       "59           24018773  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "60           24018777  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "61           24018777  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "62           24018777  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "63           24018777  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "64           24018777  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "65           24018783  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "66           24018783  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "67           24018783  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "68           24018783  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "69           24018790  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "70           24018790  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "71           24018793  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "72           24018793  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "73           24018793  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "74           24018793  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "75           24018793  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "76           24018793  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "77           24018800  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "78           24018803  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "79           24018806  not-logged-in-2e99336269d34964aebb      NaN   \n",
       "\n",
       "                 created_at  subject_ids  tool         tool_label           x  \\\n",
       "0   2016-12-17 07:33:40 UTC      5026485     0            Cluster  427.786372   \n",
       "1   2016-12-17 07:33:57 UTC      5026475     0            Cluster  189.169840   \n",
       "2   2016-12-17 07:34:04 UTC      5026481     0            Cluster  282.585673   \n",
       "3   2016-12-17 07:39:51 UTC      5026482     1  Background Galaxy  612.587260   \n",
       "4   2016-12-17 07:40:06 UTC      5026477     0            Cluster  137.384975   \n",
       "5   2016-12-17 07:40:45 UTC      5026488     0            Cluster  152.615818   \n",
       "6   2016-12-17 07:40:45 UTC      5026488     1  Background Galaxy  318.124306   \n",
       "7   2016-12-17 07:41:20 UTC      5026473     0            Cluster  376.001507   \n",
       "8   2016-12-17 07:41:20 UTC      5026473     1  Background Galaxy  423.724814   \n",
       "9   2016-12-17 07:41:20 UTC      5026473     1  Background Galaxy  330.308980   \n",
       "10  2016-12-17 07:41:20 UTC      5026473     1  Background Galaxy    5.384341   \n",
       "11  2016-12-17 07:42:32 UTC      5026476     0            Cluster  430.832540   \n",
       "12  2016-12-17 07:42:58 UTC      5026480     2       Other Object  202.369903   \n",
       "13  2016-12-17 07:43:14 UTC      5026481     0            Cluster  281.570284   \n",
       "14  2016-12-17 07:44:06 UTC      5026473     0            Cluster  377.016897   \n",
       "15  2016-12-17 07:44:06 UTC      5026473     1  Background Galaxy  424.740203   \n",
       "16  2016-12-17 07:44:06 UTC      5026473     1  Background Galaxy  329.293590   \n",
       "17  2016-12-17 07:44:06 UTC      5026473     1  Background Galaxy    7.415120   \n",
       "18  2016-12-17 07:44:33 UTC      5026477     0            Cluster  133.323417   \n",
       "19  2016-12-17 07:44:56 UTC      5026475     0            Cluster  192.216008   \n",
       "20  2016-12-17 07:45:15 UTC      5026482     1  Background Galaxy  610.556481   \n",
       "21  2016-12-17 07:45:44 UTC      5026488     0            Cluster  154.646597   \n",
       "22  2016-12-17 07:45:44 UTC      5026488     1  Background Galaxy  320.155085   \n",
       "23  2016-12-17 07:46:32 UTC      5026487     0            Cluster  379.047676   \n",
       "24  2016-12-17 07:46:32 UTC      5026487     0            Cluster  263.293273   \n",
       "25  2016-12-17 07:46:32 UTC      5026487     1  Background Galaxy  424.740203   \n",
       "26  2016-12-17 07:46:32 UTC      5026487     1  Background Galaxy  328.278201   \n",
       "27  2016-12-17 07:46:32 UTC      5026487     1  Background Galaxy    5.384341   \n",
       "28  2016-12-17 07:47:03 UTC      5026473     0            Cluster  377.016897   \n",
       "29  2016-12-17 07:47:03 UTC      5026473     1  Background Galaxy  423.724814   \n",
       "..                      ...          ...   ...                ...         ...   \n",
       "50  2016-12-31 19:14:19 UTC      5026487     0            Cluster  262.277884   \n",
       "51  2016-12-31 19:14:39 UTC      5026475     0            Cluster  187.139061   \n",
       "52  2016-12-31 19:15:10 UTC      5026486     1  Background Galaxy  523.232984   \n",
       "53  2016-12-31 19:15:10 UTC      5026486     1  Background Galaxy  438.955656   \n",
       "54  2016-12-31 19:15:10 UTC      5026486     1  Background Galaxy  357.724496   \n",
       "55  2016-12-31 19:15:20 UTC      5026473     0            Cluster  378.032286   \n",
       "56  2016-12-31 19:15:32 UTC      5026482     1  Background Galaxy  614.618039   \n",
       "57  2016-12-31 19:15:43 UTC      5026477     0            Cluster  132.308028   \n",
       "58  2016-12-31 19:15:59 UTC      5026480     2       Other Object  206.431461   \n",
       "59  2016-12-31 19:17:13 UTC      5026478     1  Background Galaxy  318.124306   \n",
       "60  2016-12-31 19:17:35 UTC      5026473     0            Cluster  377.016897   \n",
       "61  2016-12-31 19:17:35 UTC      5026473     1  Background Galaxy  422.709424   \n",
       "62  2016-12-31 19:17:35 UTC      5026473     1  Background Galaxy  330.308980   \n",
       "63  2016-12-31 19:17:35 UTC      5026473     1  Background Galaxy    7.415120   \n",
       "64  2016-12-31 19:17:35 UTC      5026473     1  Background Galaxy  497.848247   \n",
       "65  2016-12-31 19:18:09 UTC      5026486     1  Background Galaxy  523.232984   \n",
       "66  2016-12-31 19:18:09 UTC      5026486     1  Background Galaxy  358.739886   \n",
       "67  2016-12-31 19:18:09 UTC      5026486     1  Background Galaxy  440.986435   \n",
       "68  2016-12-31 19:18:09 UTC      5026486     0            Cluster  263.293273   \n",
       "69  2016-12-31 19:18:41 UTC      5026488     0            Cluster  154.646597   \n",
       "70  2016-12-31 19:18:41 UTC      5026488     1  Background Galaxy  319.139695   \n",
       "71  2016-12-31 19:19:05 UTC      5026487     0            Cluster  378.032286   \n",
       "72  2016-12-31 19:19:05 UTC      5026487     0            Cluster  265.324052   \n",
       "73  2016-12-31 19:19:05 UTC      5026487     1  Background Galaxy  496.832857   \n",
       "74  2016-12-31 19:19:05 UTC      5026487     1  Background Galaxy  423.724814   \n",
       "75  2016-12-31 19:19:05 UTC      5026487     1  Background Galaxy  327.262811   \n",
       "76  2016-12-31 19:19:05 UTC      5026487     1  Background Galaxy    5.384341   \n",
       "77  2016-12-31 19:19:23 UTC      5026483     1  Background Galaxy  162.769713   \n",
       "78  2016-12-31 19:19:31 UTC      5026476     0            Cluster  425.755593   \n",
       "79  2016-12-31 19:19:42 UTC      5026475     0            Cluster  190.185229   \n",
       "\n",
       "             y           r  frame  \n",
       "0    42.646359   28.665652      0  \n",
       "1    98.492781   36.285083      0  \n",
       "2   242.678090   41.828625      0  \n",
       "3   300.555291  202.477933      0  \n",
       "4   154.339204   74.815673      1  \n",
       "5   182.770109   42.803214      0  \n",
       "6   101.538950   20.709963      1  \n",
       "7   185.816278   29.568588      0  \n",
       "8   169.570046   11.215344      0  \n",
       "9   457.940663   14.644156      0  \n",
       "10  359.447882   14.215453      0  \n",
       "11  196.985562  175.674121      1  \n",
       "12  146.216088   61.462525      0  \n",
       "13  238.616532   54.915583      0  \n",
       "14  185.816278   32.269583      0  \n",
       "15  170.585436   14.215453      0  \n",
       "16  455.909884   16.246232      0  \n",
       "17  362.494050   20.307790      0  \n",
       "18  154.339204   58.161525      0  \n",
       "19   96.462002   48.249702      0  \n",
       "20  304.616849  201.623221      0  \n",
       "21  184.800888   41.120141      0  \n",
       "22  101.538950   14.142739      1  \n",
       "23  185.816278   34.894551      0  \n",
       "24  256.893543   36.242436      0  \n",
       "25  169.570046   11.169284      1  \n",
       "26  456.925274   17.261621      1  \n",
       "27  360.463271   16.246232      1  \n",
       "28  185.816278   30.881866      0  \n",
       "29  169.570046   11.352400      0  \n",
       "..         ...         ...    ...  \n",
       "50  258.924322   39.600190      0  \n",
       "51   99.508171   44.861374      0  \n",
       "52  158.400762   38.584801      0  \n",
       "53  331.016976  177.487063      0  \n",
       "54  485.356180   98.319909      0  \n",
       "55  184.800888   40.168891      0  \n",
       "56  305.632239  202.531392      0  \n",
       "57  155.354593   61.344990      0  \n",
       "58  143.169919   65.530000      0  \n",
       "59  101.538950   24.369348      0  \n",
       "60  184.800888   38.222368      0  \n",
       "61  169.570046   18.277011      0  \n",
       "62  455.909884   25.566854      0  \n",
       "63  360.463271   29.446295      0  \n",
       "64   38.584801   29.446295      0  \n",
       "65  158.400762   46.707917      0  \n",
       "66  484.340790  103.075788      0  \n",
       "67  336.093924  183.855609      0  \n",
       "68  332.032366   33.260788      0  \n",
       "69  183.785499   47.561000      0  \n",
       "70   99.508171   27.621581      1  \n",
       "71  182.770109   38.235853      0  \n",
       "72  258.924322   40.666318      0  \n",
       "73   39.600190   28.430906      1  \n",
       "74  169.570046   18.277011      1  \n",
       "75  456.925274   29.880758      1  \n",
       "76  359.447882   28.430906      1  \n",
       "77  267.047438   43.661748      0  \n",
       "78  194.954783  160.957652      0  \n",
       "79   98.492781   48.494815      1  \n",
       "\n",
       "[80 rows x 11 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "out.to_csv('ap-aas229-test-markings.csv',index_label='mark_id')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make Overlay Images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Unique Subjects\n",
    "usub = classifications.drop_duplicates(subset='subject_ids')\n",
    "len(usub)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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IN8xgmbeIa/QbD6HvuNtuCcGh2qMKKSmlgveOUgwM3Crw/pMzNncdt7e7Fpuq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ghfEZIlKYtUFUZvMpttcnFxH1KfG/8SCDKQwHsLwqOUyB9ozApMGMTyFCNKZW0qpcxnqKo6RzyF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\nseynzO//wR8jIqxPzplVyMVZ+6AU9vcjse8Q7VAXUGaC94hXrm/vzL8sP4P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6zjgdlrhz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\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Kj588wNcgQNe1LJcrJi9zsf3lgpQ8wU8oCl3bMo5bDveXNK67gmOkVK8g9ffq2469vbmc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\nuqqruqpvs/4vJJxLVF92Ql8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1180d1dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Make Images\n",
    "\n",
    "# Select Subject Index Number\n",
    "subsel=12\n",
    "\n",
    "marks = out[out.subject_ids == usub.subject_ids[subsel]]\n",
    "imgnm = list(json.loads(usub.subject_data[subsel]).values())[0]['IMG_COLOR']\n",
    "\n",
    "imgpath='../ap_sampledata/'\n",
    "imgfile=imgpath+imgnm\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "im = plt.imread(imgfile)\n",
    "ax.imshow(im)\n",
    "for index, m in marks.iterrows():\n",
    "    if m.tool == 0:\n",
    "        ax.add_artist(plt.Circle( (m.x, m.y), m.r, color='b', fill=False))\n",
    "    if m.tool == 1:\n",
    "        ax.add_artist(plt.Circle( (m.x, m.y), m.r, color='r', fill=False))\n",
    "    if m.tool > 1:\n",
    "        ax.add_artist(plt.Circle( (m.x, m.y), m.r, color='g', fill=False))\n",
    "\n",
    "plt.axis('off')\n",
    "ax.get_xaxis().set_visible(False)\n",
    "ax.get_yaxis().set_visible(False)\n",
    "plt.savefig('out_'+imgnm, dpi=120, bbox_inches='tight', pad_inches=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [Root]",
   "language": "python",
   "name": "Python [Root]"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}