Added task analysis
authorNeil Smith <neil.git@njae.me.uk>
Fri, 4 Aug 2017 14:53:50 +0000 (15:53 +0100)
committerNeil Smith <neil.git@njae.me.uk>
Fri, 4 Aug 2017 14:53:50 +0000 (15:53 +0100)
data-analysis/task-analysis.ipynb [new file with mode: 0644]

diff --git a/data-analysis/task-analysis.ipynb b/data-analysis/task-analysis.ipynb
new file mode 100644 (file)
index 0000000..c54c7dc
--- /dev/null
@@ -0,0 +1,5418 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Import the required libraries and open the connection to Mongo\n",
+    "\n",
+    "import collections\n",
+    "from datetime import datetime\n",
+    "import matplotlib as mpl\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "import random\n",
+    "\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import scipy.stats\n",
+    "\n",
+    "import pymongo\n",
+    "from bson.objectid import ObjectId"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "client = pymongo.MongoClient('mongodb://localhost:27017')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Connect to the database\n",
+    "summerofcode_db = client.summerofcode\n",
+    "imp = summerofcode_db.imp\n",
+    "icmas = summerofcode_db.icmas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "icmas.find_one();"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Attempts per task"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[{'_id': 0, 'count': 292},\n",
+       " {'_id': 1, 'count': 152},\n",
+       " {'_id': 2, 'count': 102},\n",
+       " {'_id': 3, 'count': 87},\n",
+       " {'_id': 4, 'count': 96},\n",
+       " {'_id': 5, 'count': 76},\n",
+       " {'_id': 6, 'count': 99},\n",
+       " {'_id': 7, 'count': 53},\n",
+       " {'_id': 8, 'count': 60},\n",
+       " {'_id': 9, 'count': 41},\n",
+       " {'_id': 10, 'count': 60}]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pipeline = [{\"$group\": {\"_id\": \"$icma_number\", \"count\": {\"$sum\": 1}}},\n",
+    "            {'$sort': {'_id': 1}}]\n",
+    "list(icmas.aggregate(pipeline))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Submissions per person per task\n",
+    "\n",
+    "Includes non-submitted attempts."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": true,
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "pipeline = [{\"$group\": {\"_id\": {'icma_number': \"$icma_number\",\n",
+    "                                'pi': '$Personal Identifier'},\n",
+    "                        \"scores\": {\"$push\": '$grade'}}}]\n",
+    "list(icmas.aggregate(pipeline));"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": true,
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "pipeline = [{\"$group\": {\"_id\": {'icma_number': \"$icma_number\",\n",
+    "                                'pi': '$Personal Identifier'},\n",
+    "                        \"scores\": {\"$push\": '$grade'}}},\n",
+    "            {'$project': {'scores': True,\n",
+    "                          'n_attempts': {'$size': '$scores'},\n",
+    "                          'highest': {'$max': '$scores'}}}]\n",
+    "attempts_per_person = pd.DataFrame([\n",
+    "    {'icma_number': r['_id']['icma_number'],\n",
+    "     'pi': r['_id']['pi'],\n",
+    "     'n_attempts': r['n_attempts']}\n",
+    "    for r in icmas.aggregate(pipeline)\n",
+    "])\n",
+    "attempts_per_person;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>icma_number</th>\n",
+       "      <th>pi</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>n_attempts</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>776</td>\n",
+       "      <td>776</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>91</td>\n",
+       "      <td>91</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>20</td>\n",
+       "      <td>20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>10</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            icma_number   pi\n",
+       "n_attempts                  \n",
+       "1                   776  776\n",
+       "2                    91   91\n",
+       "3                    20   20\n",
+       "4                    10   10\n",
+       "5                     4    4\n",
+       "6                     3    3\n",
+       "7                     2    2\n",
+       "8                     1    1"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "attempts_per_person.groupby(['n_attempts']).count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "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>icma_number</th>\n",
+       "      <th>pi</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>n_attempts</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>522</td>\n",
+       "      <td>522</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>77</td>\n",
+       "      <td>77</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>18</td>\n",
+       "      <td>18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>9</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            icma_number   pi\n",
+       "n_attempts                  \n",
+       "1                   522  522\n",
+       "2                    77   77\n",
+       "3                    18   18\n",
+       "4                     9    9\n",
+       "5                     4    4\n",
+       "6                     3    3\n",
+       "7                     2    2\n",
+       "8                     1    1"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "attempts_per_person[attempts_per_person.icma_number > 0].groupby(['n_attempts']).count()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Number of submissions per person"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "collapsed": true,
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "pipeline = [{'$match': {'grade': {'$ne': '-'},\n",
+    "                        'icma_number': {'$gt': 0}}},\n",
+    "            {\"$group\": {\"_id\": {'icma_number': \"$icma_number\",\n",
+    "                                'pi': '$Personal Identifier'},\n",
+    "                        \"scores\": {\"$push\": '$grade'}}},\n",
+    "            {'$project': {'scores': True,\n",
+    "                          'n_attempts': {'$size': '$scores'},\n",
+    "                          'highest': {'$max': '$scores'}}}]\n",
+    "submissions_per_person = pd.DataFrame([\n",
+    "    {'icma_number': r['_id']['icma_number'],\n",
+    "     'pi': r['_id']['pi'],\n",
+    "     'n_attempts': r['n_attempts']}\n",
+    "    for r in icmas.aggregate(pipeline)\n",
+    "])\n",
+    "submissions_per_person;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>icma_number</th>\n",
+       "      <th>pi</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>n_attempts</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>349</td>\n",
+       "      <td>349</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>53</td>\n",
+       "      <td>53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>16</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>8</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            icma_number   pi\n",
+       "n_attempts                  \n",
+       "1                   349  349\n",
+       "2                    53   53\n",
+       "3                    16   16\n",
+       "4                     8    8\n",
+       "5                     4    4\n",
+       "6                     2    2\n",
+       "7                     2    2\n",
+       "8                     1    1"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "submissions_per_person.groupby(['n_attempts']).count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAELCAYAAADJF31HAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nLkmNMNAlqREGuiQ1wkCXpEb8f/bJvtTjjvEEAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc118654208>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = submissions_per_person.groupby(['n_attempts'])['icma_number'].count().plot(kind='bar')\n",
+    "ax.set_xlabel('Number of attempts')\n",
+    "plt.savefig('attempts-per-day.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"8\" halign=\"left\">pi</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>n_attempts</th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <th>4</th>\n",
+       "      <th>5</th>\n",
+       "      <th>6</th>\n",
+       "      <th>7</th>\n",
+       "      <th>8</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>icma_number</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>59</td>\n",
+       "      <td>13</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>61</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>56</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>31</td>\n",
+       "      <td>10</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>34</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>18</td>\n",
+       "      <td>8</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>30</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>16</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>28</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>16</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             pi                      \n",
+       "n_attempts    1   2  3  4  5  6  7  8\n",
+       "icma_number                          \n",
+       "1            59  13  3  0  0  0  0  0\n",
+       "2            61   5  2  1  0  0  0  0\n",
+       "3            56   2  1  0  0  0  0  0\n",
+       "4            31  10  4  0  1  0  0  0\n",
+       "5            34   4  1  1  0  0  1  0\n",
+       "6            18   8  2  2  2  2  1  0\n",
+       "7            30   1  0  0  1  0  0  0\n",
+       "8            16   3  1  3  0  0  0  0\n",
+       "9            28   1  0  0  0  0  0  0\n",
+       "10           16   6  2  1  0  0  0  1"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "submissions_per_person.groupby(['icma_number', 'n_attempts']).count().unstack().fillna(value=0).astype(int)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'<table border=\"1\" class=\"dataframe\">\\n  <thead>\\n    <tr>\\n      <th></th>\\n      <th colspan=\"8\" halign=\"left\">pi</th>\\n    </tr>\\n    <tr>\\n      <th>n_attempts</th>\\n      <th>1</th>\\n      <th>2</th>\\n      <th>3</th>\\n      <th>4</th>\\n      <th>5</th>\\n      <th>6</th>\\n      <th>7</th>\\n      <th>8</th>\\n    </tr>\\n    <tr>\\n      <th>icma_number</th>\\n      <th></th>\\n      <th></th>\\n      <th></th>\\n      <th></th>\\n      <th></th>\\n      <th></th>\\n      <th></th>\\n      <th></th>\\n    </tr>\\n  </thead>\\n  <tbody>\\n    <tr>\\n      <th>1</th>\\n      <td>59</td>\\n      <td>13</td>\\n      <td>3</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>0</td>\\n    </tr>\\n    <tr>\\n      <th>2</th>\\n      <td>61</td>\\n      <td>5</td>\\n      <td>2</td>\\n      <td>1</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>0</td>\\n    </tr>\\n    <tr>\\n      <th>3</th>\\n      <td>56</td>\\n      <td>2</td>\\n      <td>1</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>0</td>\\n    </tr>\\n    <tr>\\n      <th>4</th>\\n      <td>31</td>\\n      <td>10</td>\\n      <td>4</td>\\n      <td>0</td>\\n      <td>1</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>0</td>\\n    </tr>\\n    <tr>\\n      <th>5</th>\\n      <td>34</td>\\n      <td>4</td>\\n      <td>1</td>\\n      <td>1</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>1</td>\\n      <td>0</td>\\n    </tr>\\n    <tr>\\n      <th>6</th>\\n      <td>18</td>\\n      <td>8</td>\\n      <td>2</td>\\n      <td>2</td>\\n      <td>2</td>\\n      <td>2</td>\\n      <td>1</td>\\n      <td>0</td>\\n    </tr>\\n    <tr>\\n      <th>7</th>\\n      <td>30</td>\\n      <td>1</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>1</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>0</td>\\n    </tr>\\n    <tr>\\n      <th>8</th>\\n      <td>16</td>\\n      <td>3</td>\\n      <td>1</td>\\n      <td>3</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>0</td>\\n    </tr>\\n    <tr>\\n      <th>9</th>\\n      <td>28</td>\\n      <td>1</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>0</td>\\n    </tr>\\n    <tr>\\n      <th>10</th>\\n      <td>16</td>\\n      <td>6</td>\\n      <td>2</td>\\n      <td>1</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>1</td>\\n    </tr>\\n  </tbody>\\n</table>'"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "submissions_per_person.groupby(['icma_number', 'n_attempts']).count().unstack().fillna(value=0).astype(int).to_html()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Grade per person per task, keeping only best score"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "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>grade</th>\n",
+       "      <th>icma_number</th>\n",
+       "      <th>num</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>5</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>-</td>\n",
+       "      <td>5</td>\n",
+       "      <td>20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>10</td>\n",
+       "      <td>6</td>\n",
+       "      <td>28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>-</td>\n",
+       "      <td>6</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>-</td>\n",
+       "      <td>8</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>5</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>10</td>\n",
+       "      <td>8</td>\n",
+       "      <td>20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>-</td>\n",
+       "      <td>10</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>10</td>\n",
+       "      <td>5</td>\n",
+       "      <td>40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>10</td>\n",
+       "      <td>10</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>10</td>\n",
+       "      <td>0</td>\n",
+       "      <td>87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>68</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>-</td>\n",
+       "      <td>1</td>\n",
+       "      <td>58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>10</td>\n",
+       "      <td>2</td>\n",
+       "      <td>63</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>-</td>\n",
+       "      <td>2</td>\n",
+       "      <td>21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>-</td>\n",
+       "      <td>3</td>\n",
+       "      <td>24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>-</td>\n",
+       "      <td>0</td>\n",
+       "      <td>179</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>10</td>\n",
+       "      <td>7</td>\n",
+       "      <td>30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>-</td>\n",
+       "      <td>4</td>\n",
+       "      <td>28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>-</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>10</td>\n",
+       "      <td>4</td>\n",
+       "      <td>40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>-</td>\n",
+       "      <td>9</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>10</td>\n",
+       "      <td>9</td>\n",
+       "      <td>26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>10</td>\n",
+       "      <td>3</td>\n",
+       "      <td>53</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   grade  icma_number  num\n",
+       "0      5            6    1\n",
+       "1      0            6    1\n",
+       "2      -            5   20\n",
+       "3     10            6   28\n",
+       "4      -            6   22\n",
+       "5      -            8   23\n",
+       "6      0            0    2\n",
+       "7      5            1    1\n",
+       "8      5            4    2\n",
+       "9      5            0    3\n",
+       "10    10            8   20\n",
+       "11     -           10   14\n",
+       "12    10            5   40\n",
+       "13    10           10   23\n",
+       "14    10            0   87\n",
+       "15    10            1   68\n",
+       "16     -            1   58\n",
+       "17    10            2   63\n",
+       "18     -            2   21\n",
+       "19     -            3   24\n",
+       "20     -            0  179\n",
+       "21    10            7   30\n",
+       "22     0            1    1\n",
+       "23     -            4   28\n",
+       "24     5            2    2\n",
+       "25     -            7   16\n",
+       "26    10            4   40\n",
+       "27     -            9   11\n",
+       "28    10            9   26\n",
+       "29    10            3   53"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pipeline = [{\"$group\": {\"_id\": {'icma_number': \"$icma_number\",\n",
+    "                                'pi': '$Personal Identifier'},\n",
+    "                        \"scores\": {\"$push\": '$grade'}}},\n",
+    "            {'$project': {'scores': True,\n",
+    "                          'n_attempts': {'$size': '$scores'},\n",
+    "                          'highest': {'$max': '$scores'}}},\n",
+    "            {'$group': {'_id': {'icma_number': '$_id.icma_number',\n",
+    "                                'grade': '$highest'},\n",
+    "                        \"count\": {\"$sum\": 1}}}]\n",
+    "icma_score_long = pd.DataFrame([\n",
+    "    {'icma_number': r['_id']['icma_number'],\n",
+    "     'grade': r['_id']['grade'],\n",
+    "     'num': r['count']}\n",
+    "    for r in icmas.aggregate(pipeline)\n",
+    "])\n",
+    "icma_score_long"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "collapsed": true,
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# Old version, counting each attempt separately\n",
+    "#\n",
+    "# pipeline = [{\"$group\": {\"_id\": {'icma_number': \"$icma_number\",\n",
+    "#                                 'grade': '$grade'},\n",
+    "#                         \"count\": {\"$sum\": 1}}}]\n",
+    "# icma_score_long = pd.DataFrame([\n",
+    "#     {'icma_number': r['_id']['icma_number'],\n",
+    "#      'grade': r['_id']['grade'],\n",
+    "#      'num': r['count']}\n",
+    "#     for r in icmas.aggregate(pipeline)\n",
+    "# ])\n",
+    "# icma_score_long"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>grade</th>\n",
+       "      <th>0.0</th>\n",
+       "      <th>5.0</th>\n",
+       "      <th>10.0</th>\n",
+       "      <th>-</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>icma_number</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>87</td>\n",
+       "      <td>179</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>68</td>\n",
+       "      <td>58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>63</td>\n",
+       "      <td>21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>53</td>\n",
+       "      <td>24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>40</td>\n",
+       "      <td>28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>40</td>\n",
+       "      <td>20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>28</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>30</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>20</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>26</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>23</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "grade        0.0  5.0  10.0    -\n",
+       "icma_number                     \n",
+       "0              2    3    87  179\n",
+       "1              1    1    68   58\n",
+       "2              0    2    63   21\n",
+       "3              0    0    53   24\n",
+       "4              0    2    40   28\n",
+       "5              0    0    40   20\n",
+       "6              1    1    28   22\n",
+       "7              0    0    30   16\n",
+       "8              0    0    20   23\n",
+       "9              0    0    26   11\n",
+       "10             0    0    23   14"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "icma_score = icma_score_long.pivot(index='icma_number', columns='grade', values='num').fillna(value=0).astype(int)\n",
+    "icma_score"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "def pandas_df_to_markdown_table(df):\n",
+    "    from IPython.display import Markdown, display\n",
+    "    fmt = ['---' for i in range(len(df.columns))]\n",
+    "    df_fmt = pd.DataFrame([fmt], columns=df.columns)\n",
+    "    df_formatted = pd.concat([df_fmt, df])\n",
+    "    display(Markdown(df_formatted.to_csv(sep=\"|\", index=False)))\n",
+    "    return df_formatted.to_csv(sep=\"|\", index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "0.0|5.0|10.0|-\n",
+       "---|---|---|---\n",
+       "2|3|87|179\n",
+       "1|1|68|58\n",
+       "0|2|63|21\n",
+       "0|0|53|24\n",
+       "0|2|40|28\n",
+       "0|0|40|20\n",
+       "1|1|28|22\n",
+       "0|0|30|16\n",
+       "0|0|20|23\n",
+       "0|0|26|11\n",
+       "0|0|23|14\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.0|5.0|10.0|-\n",
+      "---|---|---|---\n",
+      "2|3|87|179\n",
+      "1|1|68|58\n",
+      "0|2|63|21\n",
+      "0|0|53|24\n",
+      "0|2|40|28\n",
+      "0|0|40|20\n",
+      "1|1|28|22\n",
+      "0|0|30|16\n",
+      "0|0|20|23\n",
+      "0|0|26|11\n",
+      "0|0|23|14\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(pandas_df_to_markdown_table(icma_score))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>grade</th>\n",
+       "      <th>0.0</th>\n",
+       "      <th>5.0</th>\n",
+       "      <th>10.0</th>\n",
+       "      <th>-</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>icma_number</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>68</td>\n",
+       "      <td>58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>63</td>\n",
+       "      <td>21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>53</td>\n",
+       "      <td>24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>40</td>\n",
+       "      <td>28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>40</td>\n",
+       "      <td>20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>28</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>30</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>20</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>26</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>23</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "grade        0.0  5.0  10.0   -\n",
+       "icma_number                    \n",
+       "1              1    1    68  58\n",
+       "2              0    2    63  21\n",
+       "3              0    0    53  24\n",
+       "4              0    2    40  28\n",
+       "5              0    0    40  20\n",
+       "6              1    1    28  22\n",
+       "7              0    0    30  16\n",
+       "8              0    0    20  23\n",
+       "9              0    0    26  11\n",
+       "10             0    0    23  14"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "icma_score.loc[1:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'<table border=\"1\" class=\"dataframe\">\\n  <thead>\\n    <tr style=\"text-align: right;\">\\n      <th>grade</th>\\n      <th>0.0</th>\\n      <th>5.0</th>\\n      <th>10.0</th>\\n      <th>-</th>\\n    </tr>\\n    <tr>\\n      <th>icma_number</th>\\n      <th></th>\\n      <th></th>\\n      <th></th>\\n      <th></th>\\n    </tr>\\n  </thead>\\n  <tbody>\\n    <tr>\\n      <th>1</th>\\n      <td>1</td>\\n      <td>1</td>\\n      <td>68</td>\\n      <td>58</td>\\n    </tr>\\n    <tr>\\n      <th>2</th>\\n      <td>0</td>\\n      <td>2</td>\\n      <td>63</td>\\n      <td>21</td>\\n    </tr>\\n    <tr>\\n      <th>3</th>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>53</td>\\n      <td>24</td>\\n    </tr>\\n    <tr>\\n      <th>4</th>\\n      <td>0</td>\\n      <td>2</td>\\n      <td>40</td>\\n      <td>28</td>\\n    </tr>\\n    <tr>\\n      <th>5</th>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>40</td>\\n      <td>20</td>\\n    </tr>\\n    <tr>\\n      <th>6</th>\\n      <td>1</td>\\n      <td>1</td>\\n      <td>28</td>\\n      <td>22</td>\\n    </tr>\\n    <tr>\\n      <th>7</th>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>30</td>\\n      <td>16</td>\\n    </tr>\\n    <tr>\\n      <th>8</th>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>20</td>\\n      <td>23</td>\\n    </tr>\\n    <tr>\\n      <th>9</th>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>26</td>\\n      <td>11</td>\\n    </tr>\\n    <tr>\\n      <th>10</th>\\n      <td>0</td>\\n      <td>0</td>\\n      <td>23</td>\\n      <td>14</td>\\n    </tr>\\n  </tbody>\\n</table>'"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "icma_score.loc[1:].to_html()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>grade</th>\n",
+       "      <th>0.0</th>\n",
+       "      <th>5.0</th>\n",
+       "      <th>10.0</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>icma_number</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>68</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>63</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "grade        0.0   5.0   10.0\n",
+       "icma_number                  \n",
+       "1               1     1    68\n",
+       "2               0     2    63\n",
+       "3               0     0    53\n",
+       "4               0     2    40\n",
+       "5               0     0    40\n",
+       "6               1     1    28\n",
+       "7               0     0    30\n",
+       "8               0     0    20\n",
+       "9               0     0    26\n",
+       "10              0     0    23"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "icma_score.loc[1:, icma_score.columns != '-']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0eb0ac2e8>"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEQCAYAAAC+z7+sAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xl8VPW9+P/XO/tkXwRlkUUWWYSAgIC4RLC2gkvdqliV\nq636rdb22uVqtbdgpf1W7rf2V3vr7XWphYpL61KtYmsrpoqIIEtEFkFA2QRxyJ7JMjPv3x9nEoYw\nIZNkkjNJ3s/HYx4zc+bMOe8Zwvt85n0+5/MRVcUYY0zPleB2AMYYYzqXJXpjjOnhLNEbY0wPZ4ne\nGGN6OEv0xhjTw1miN8aYHq7VRC8ij4vIQRH5IGxZoYi8KyLrRWS1iEwJe+0hEdkuIhtEZEJnBW6M\nMSY60bTonwC+3GzZImC+qk4E5oeeIyKzgWGqOgK4FfhdDGM1xhjTDq0melVdAZQ2WxwEckKPc4F9\noceXAEtC73sPyBGRE2MTqjHGmPZIauf77gT+LiK/BAQ4M7R8ALAnbL19oWUH2x2hMcaYDmnvydhv\nAd9V1UE4Sf/3oeUSYV0bY8EYY1zU3hb9PFX9LoCqPicij4WW7wVODltvILA/0gZExA4AxhjTDqoa\nqVHdomhb9MLRrfV9InIugIjMAraHlr8M3BBaPg0oU9UWyzaqajdV5s+f73oM8XKz78K+C/sujn9r\nj1Zb9CLyFFAEFIjIbpxeNjcDD4lIIlAL3BJK3MtEZLaIfAxUAzceb9uHGxrIT05uV+DGGGOi02qi\nV9VrW3hpcgvrfzvanb9XUcGFBQXRrm6MMaYdXL0y9t2KCjd3HzeKiorcDiFu2HdxhH0XR9h30THS\n3ppPh3csoudv2MA/Cgtd2b8xxnRHIoK28WRse3vdxMTqigoCqiRKm2I2xvQgQ4YM4dNPP3U7jLgz\nePBgPvnkk5hsy9VEf2JKCpurqxmXmelmGMYYF3366aft7k3Sk0kMG8Cu1uinZ2dbnd4YYzqZq4n+\nzJwcS/TGGNPJXG/RrywvdzMEY4zp8VxN9GMzMjhQX4+3ocHNMIwx5riGDh3K4cOH3Q6j3VxN9Iki\nTMnKYpWVb4wxXSwQCES9bixPjLrB1V43ANNzcni3vJw5doWsMSaG7r//fpYuXUrfvn0ZOHAgkyZN\n4pVXXmHChAm88847zJ07lxEjRrBw4UIaGhooKChg6dKl9OnTh8OHDzN37lz279/PtGnTjuoVtHTp\nUh566CEaGhqYOnUqDz/8cNwfCFyfM9Z63hhjYm3t2rW8+OKLfPDBByxbtoz333+/KRk3NDSwevVq\n7rzzTs4++2xWrVrF2rVrufrqq1m0aBEA9913H2effTYbN27ksssuY/fu3QBs3bqVZ599lpUrV7Ju\n3ToSEhJYunSpa58zWq636KdlZ7OmstIunDLGxMyKFSu49NJLSUlJISUlhUsuuQRVRUS4+uqrm9bb\ns2cPX/va1/jss89oaGhg6NChALz11lu8+OKLAMyePZu8vDwA3njjDdatW8eUKVNQVWpraznxxPif\nRM/1RJ+fnEz/lBQ+rK6m0C6cMsbEQPMLsMKfZ2RkND2+4447+MEPfsCcOXP417/+xX333df0Wng5\npvH9qsq8efP42c9+1lmhdwrXSzdwpE5vjDGxcNZZZ/HXv/6Vuro6qqqqeOWVVxrHiDlqvYqKCvr3\n7w/A4sWLm5afc845PPnkkwC89tprlJWVATBr1iyee+45Dh06BEBpaWlTWSeexUWiPzM7m5VWpzfG\nxMjkyZO55JJLKCwsZM6cOYwfP57s7OxjTprOnz+fK6+8kilTptCnT5+jlr/11luMGzeOv/zlLwwa\nNAiA0aNHs3DhQi644AIKCwu54IILOHDgQJd+tvZwdfTKxn1/WFXFZZs2sX3qVFdiMca4J1JLOxaq\nq6vJyMjA5/Nxzjnn8OijjzJhwoSY76eztPS9tGf0ylZb9CLyuIgcFJEPmi2/Q0S2ishGEflF2PIf\nich2EdkiIhdEE8SYjAwO1ddzqL6+LbEbY0yLbrnlFiZOnMikSZO46qqrulWSj7VWW/QichZQBSxR\n1fGhZUXAPcBsVfWLyAmq+oWIjAaeAqbgTAz+T2CERthJeIse4IKSEu4YMICLTzghNp/MGNMtdFaL\nvrvr0ha9qq4ASpst/hbwC1X1h9b5IrT8UuAZVfWr6ic4k4afEU0g1p/eGGM6R3tPxo4EzhGRVSLy\npohMCi0fAOwJW29faFmrLNEbY0znaG8/+iQgV1WnicgU4M/AKUCknxMt/iZbsGBB0+NJZ53F+6mp\n+INBkhLiojOQMca4rri4mOLi4g5tI6peNyIyGPhrWI1+GU7p5q3Q8+3ANOBmAFX9RWj534D5qvpe\nhG0eU7ofs3o1S0ePZmJWVoc+lDGm+7AafWRdWqNv3DZHt9b/AswK7XQkkKKqXuBl4GoRSRGRocBw\nYHW0wVh/emOMib1oulc+BawERorIbhG5Efg9cIqIbMTpZXMDgKpuBv4EbAaWAbdF6nHTErtC1hhj\nYi+aXjfXqmp/VU1V1UGq+kSoV831qjpOVSer6r/C1v+/qjpcVUer6uttCcZOyBpj4lFpaSmXXXYZ\nmZmZDB06lKeffrrFde+66y5OOOEE+vTpw1133dWFUbbM9UHNwo1KT+ew38/n9fX0TUlxOxxjjAHg\ntttuIy0tjUOHDrFu3TrmzJnDhAkTGD169FHr/e///i8vv/wyGzduBOD8889n2LBh3HLLLW6E3SSu\nurckiDA1K8ta9caYuFFTU8MLL7zAwoUL8Xg8zJgxg0suuYQ//vGPx6y7ZMkSvv/979OvXz/69evH\n97//ff7whz90fdDNxFWiB6vTG2Piy7Zt20hKSmLYsGFNywoLC9m0adMx627atInCwsJW1+tq8Zfo\nrU5vjGlGJDa39qiqqiInJ+eoZTk5OVRWVra6bk5ODlVVVe3bcQzFVY0eYGp2NmsrK2kIBkm2C6eM\nMYCb3ewzMzOpaNb4rKioICvC9T7N162oqCAzDiZUirtMmpOUxFCPh5I4OAoaY8zIkSPx+/3s2LGj\naVlJSQljx449Zt2xY8dSUlLS9HzDhg0R1+tqcZfowco3xpj4kZ6ezuWXX85PfvITampqeOedd3j5\n5Ze5/vrrj1n3hhtu4MEHH2T//v3s37+fBx98kBtvvNGFqI9mid4YY1rx29/+lpqaGvr27cvXv/51\nfve73zF69GhWrFhBdnZ203q33norF198MePGjWP8+PFcfPHF3HzzzS5G7oiLGaaa21pdzYUbN7Jr\n2rQujsoY09VsrJvI3BjrpkuNTE+n3O/nQF2d26EYY0y3F5eJPkGEaVa+McaYmIjLRA9WpzfGmFix\nRG+MMT1c3Cb6M7KzWV9ZSX0w6HYoxhjTrcVtos9OSmKYx8MGu3DKGGM6JG4TPVj5xhhjYiGaGaYe\nF5GDIvJBhNd+ICJBEckPW/aQiGwXkQ0iMqEjwdlIlsYY03HRtOifAL7cfKGIDATOBz4NW3YhMExV\nRwC3Ar/rSHDWojfGmI6LZirBFUBphJd+Bfyw2bJLgSWh970H5IjIie0NboTHQ3UgwH67cMoY46Ki\noiI8Hg/Z2dlkZWUdM7NUuHicSrBdNXoRuRjYo6obm700ANgT9nxfaFm7iF04ZYyJAyLCww8/TEVF\nBZWVlWzZsiXieuFTCX7wwQe88sorPPLII10c7bHaPB69iHiAe4EvRXo5wrIWB7FYsGBB0+OioiKK\nioqOWaexTn9Fnz5tDdUYY2ImmvF4wqcSBPj+97/PY4891qE5Y4uLiykuLm73+yHKQc1EZDDwV1Ud\nLyKnAf8EanAS+0CclvsZwE+BN1X12dD7tgLnqurBCNtscVCzcG+WlnLvrl2sPP306D+VMabb6A6D\nmp133nls3rwZVeXUU09l4cKFnHvuucesl5ubyz/+8Q+mTJkCwNq1a5k5cybl7ehUEstBzaJt0Uvo\nhqp+CJwUttNdwOmqWioiLwO3A8+KyDSgLFKSb4spWVmUVFVRFwySajNOGdMryX3tnAewGZ3fvgPK\nokWLGDNmDCkpKTz99NNcfPHFlJSUMHTo0KPW67ZTCYrIU0ARUCAiu4H5qvpE2CrKkYPAMhGZLSIf\nA9VAh0fcz0xKYmR6OusrK5nWbN5GY0zv0N4EHSuNLXRwJhd5+umnWbZsGbfffvtR68XrVIKtJnpV\nvbaV109p9vzbHQ2qucZulpbojTHxoKWySuNUgpMnTwZsKsE2sf70xhi3lJeX8/rrr1NXV0cgEGDp\n0qW8/fbbfPnLx1xeFLdTCba5140bpmdnc8+uXW6HYYzphRoaGvjxj3/MRx99RGJiIqNGjeKll15i\nxIgRrFixgtmzZzeVa2699VZ27drFuHHjEBFuvvlmm0ow2n2rKn1XrmT9pEkMTEvr5MiMMV2pO/S6\ncUOPn0qwORGx8o0xxrRTt0j0AGdmZ7PSEr0xxrRZt0n0NpKlMca0T7dJ9JOzsthYXU1tIOB2KMYY\n0610m0SfkZjIqPR01sXBVWbGGNOddJtED9af3hhj2qN7JXqr0xtjTJt1r0QfatFbn1tjjIlet0r0\nQ9PS8Kuyx2acMsaYqHWrRC8inJmTw0or3xhjushvf/tbpkyZQlpaGjfddNNRr73xxhuMHj2azMxM\nZs2axe7du1vczqeffsrMmTPJyMhgzJgxvPHGG50depNulejBTsgaY7rWgAED+M///E++8Y1vHLXc\n6/VyxRVX8LOf/YzDhw8zadIkrr766ha3M3fuXCZNmsThw4dZuHAhV155JV6vt7PDByzRG2PMcX31\nq1/lkksuIT8//6jlL7zwAqeddhqXX345KSkpLFiwgJKSErZt23bMNrZv38769etZsGABqampXH75\n5YwbN47nn3++Sz5Dt0v0k7Oy2FRdjc8unDLGuGjTpk0UFhY2PU9PT2fYsGFs2rQp4rqnnHIKGRkZ\nTcsKCwsjrtsZWk30IvK4iBwUkQ/Cli0SkS0iskFEnheR7LDXfiQi20OvXxDrgD2JiYzJyGBtZWWs\nN22MiVcisbnFUPNpA8GZOrAyQm5qy7qdIZoW/RNA8xH2XwfGquoEYDvwIwARGQN8DRgNXAg8LBLj\nbxcr3xjT66jG5hZDzacNBGfqwKysrA6t2xlaTfSqugIobbbsn6oaDD1dBQwMPb4EeEZV/ar6Cc5B\n4IzYheuwRG+McdvYsWPZsGFD0/Pq6mp27NgRcerAsWPHsnPnTqqrq5uWlZSUdNk0g7Go0d8ELAs9\nHgDsCXttX2hZTNmFU8aYrhIIBKitrSUQCOD3+5umFLzsssvYtGkTL774InV1dfz0pz+lsLCQkSNH\nHrONESNGMGHCBO677z7q6up48cUX2bhxI1dccUWXfIYOTSUoIvcCDar6dOOiCKu1mI0XLFjQ9Lio\nqIiioqKo9js4NMvUJ7W1DPV4ogvWGGPaYeHChdx33300VqGXLl3K/Pnz+clPfsLzzz/P7bffznXX\nXcfUqVN55plnmt73rW99CxHh4YcfBuCZZ55h3rx55OXlMXjwYJ5//nkKCgpa3X9xcTHFxcUd+gxR\nTSUoIoOBv6rq+LBl84BbgJmqWhdadjegqvpA6PnfgPmq+l6EbUY9lWAkV3z4IVf06cO1J57Y7m0Y\nY9xnUwlG5sZUgkJYa11EvgL8B3BJY5IPeRm4RkRSRGQoMBxY3ZaAomV1emOMiU403SufAlYCI0Vk\nt4jcCPwGyAT+ISLrRORhAFXdDPwJ2IxTt7+tQ83247CRLI0xJjpRlW46ZccdLN3UBgIUvPMOh2bM\nID0xMYaRGWO6kpVuInOjdBN30hITOS0jg/ftwiljjDmubpvower0xhgTje6d6K1Ob4wxrereiT47\nm5V24ZQxxhxXt070J6emkiLCztpat0Mxxpi41a0TvYhY+cYYY1rRrRM92AlZY4xpjSV6Y4zp4bp9\noj89K4uPamqothmnjDEmom6f6FMTEhifmckaa9UbY0xEHRqmOF40lm+K8vLcDsUY0wmkg8P0NtIo\nh0LvaXpMol9y8KDbYRhjOolbCfqpp57i1ltvRUQ4++yzefXVV12Jo6O67aBm4fbW1jJx7Vo+P/NM\nOmGKWmNMJ7JBzSKzQc2aGZiWhichgY99PrdDMcaYuNMjEj1YN0tjjGlJNBOPPC4iB0Xkg7BleSLy\nuoh8JCJ/F5GcsNceEpHtIrJBRCZ0VuDNWaI3xpjIomnRPwF8udmyu4F/quqpwHLgRwAiciEwTFVH\nALcCv4thrMdlQyEYY0xkrSZ6VV0BlDZbfCmwOPR4ceh54/Ilofe9B+SISJfM3j0xM5PtPh+Vfn9X\n7M4YY7qN9tbo+6rqQQBVPQD0DS0fAOwJW29faFmnS0lIYEJmJmtsxiljjDlKrE/GRury02X9pqZn\nZ7PSyjfGGHOU9l4wdVBETlTVgyJyEvB5aPle4OSw9QYC+1vayIIFC5oeFxUVUdTBiyLOzMnh8c8+\n69A2jDEmnhQXF1PcwSuDo7pgSkSGAH9V1XGh5w8Ah1X1ARG5G8hV1btFZDZwu6rOEZFpwP+nqtNa\n2GbMLphq9FldHaetWcMXM2bYhVPGdBN2wVRksbxgqtUWvYg8BRQBBSKyG5gP/AL4s4jcBOwGrgJQ\n1WUiMltEPgaqgRvbEkxH9UtNJSsxkW0+H6emp3flro0x7TR48GBrmEUwePDgmG2rRwyBEG7u5s18\nOS+Pf+vXL+bbNsYYt/XaIRDC2YVTxhhzNEv0xhjTw/W4RF+YmclOn48Ku3DKGGOAHpjoUxISmJiV\nxXvWqjfGGKAHJnqAM618Y4wxTXpkorc6vTHGHNEzE31ODu9VVBC0izCMMaZnJvoTU1LITUrio5oa\nt0MxxhjX9chED1a+McaYRpbojTGmh+u5id5mnDLGGMDtRN+JJ0vHZ2TwSW0tZQ0NnbYPY4zpDtxN\n9JdfDl980SmbTk5IYHJWFu/ZjFPGmF7O3UQ/YgQUFsLf/tYpm7fyjTHGuJ3oFy2CJ5+EW26BO+4A\nny+mm7cTssYY43aiBzjvPCgpcUo4kybB+vUx2/S07Gy7cMoY0+t1KNGLyJ0i8qGIfCAiS0UkRUSG\niMgqEflIRJ4Wkdbnpc3Lg6eegnvvhQsucFr6gUBHQgOgb0oKJyQns8UunDLG9GLtTvQi0h+4Azhd\nVcfjTEs4F3gA+KWqngqUAd+IcoPw9a/D++/Dq6/CrFmwe3d7w2tidXpjTG/X0dJNIpARarV7gP3A\necDzodcXA5e1aYuDB8Py5XDhhTB5stPS7wCr0xtjert2J3pV3Q/8Emdy8H1AObAOKFPVYGi1vUD/\nNm88MRHuusvpjXP//XDttVBW1q44p2dns9ISvTGmF+tI6SYXuBQYjJPMM4ALI6za/jOhp58Oa9dC\nfr7TDbO4uM2bGJeRwd66Og7bhVPGmF6q9ROlLTsf2KmqhwFE5EXgTCBXRBJCrfqBOOWciBYsWND0\nuKioiKKiomNXSk+H//5vmD3badlffz389KeQmhpVkEkJCUwJzTh1YUFB1B/OGGPiQXFxMcXtaOSG\nE21n10MROQN4HJgC1AFPAGuAc4AXVPVZEfkfoERVfxfh/drmfR86BDffDJ9+CkuXwpgxUb3t3p07\nSRThp0OHtm1/xhgTZ0QEVZW2vKcjNfrVwHPAeqAEEOAR4G7geyKyDcjHORjERp8+8OKLcNttcM45\n8JvfRDVejp2QNcb0Zu1u0Xd4x+1p0Yfbvh2uu87pg//EE9CvX4urflFfz7D33uPwWWeRKG06EBpj\nTFzp0ha960aMgBUrYOpUmDjRaem34ISUFE5MSWFzdXUXBmiMMfGh+yZ6gORkuO8+J8n/4AfwzW9C\nVVXEVa18Y4zprbp3om80fTps2ADBIEyYAKtWHbuKJXpjTC/VMxI9QFYW/P738MADcOmlsGAB+P1N\nL0/PyWGlDYVgjOmFek6ib3TFFc4ImCtXwllnwccfA3BaRgaf1dfjtQunjDG9TM9L9AD9+zvDJ1x7\nLUybBo89RiJwRlYWq6x8Y4zpZXpmogdISIDvfMcZNuE3v4HLL2d6crKNZGmM6XV6bqJvdNppsHo1\nDB/O9B/+kHd37XI7ImOM6VLd94Kpdji8fDlD6uooXbaMxEWLwOPp0v0bY0xH9a4Lptohf+ZM+ufm\n8mEwGPNpC40xJl51ZPTKbml6Xh7v3nMPhdOnw5e+BMOGOUMgFxY6ffDHj3e6ahpjTA/Rq0o3AI/s\n38+K8nKWjB4NlZXOxOQlJc4FVyUlsGmTM25OY+JvPAgMGuRMd2iMMS5qT+mm1yX6D6uquGzTJrZP\nnRp5Bb/fGTAtPPlv2AC1tccm/7Fjox4X3xhjYsESfRSCquSvWMH2qVPpk5IS/Rs///zY5L9jBwwf\nfnTynzDBGU7ZGGM6gSX6KF1QUsIdAwZw8QkndGxDtbVOqad5+Sc9/Ujyb7wfMcKZC9cYYzrAEn2U\n5u/aRYMqPz/llNhvXBV27z665V9SAgcOOH367cSvMaYDujzRi0gO8BhwGhAEbgK2Ac/iTBr+CfA1\nVT3mclQ3E/3fvF4e2LOHNydM6LqdVlTABx9EPvE7Y4YzF+5551mr3xhzXG4k+j8A/1LVJ0QkCcgA\n7gG8qrpIRO4C8lT17gjvdS3RlzY0MGjVKkpnzCApwcVLCRpP/L7+Oixe7MyJe/31MG8enHqqe3EZ\nY+JWlyZ6EckCNqjqsGbLtwLnqupBETkJKFbVURHe71qiBxizejVLR49mYjyVTjZuhCVL4Mknne6c\n8+bBNddAfr7bkRlj4kRXXxl7CvCFiDwhIutE5BERSQdOVNWDAKp6AIjLLijTs7NZGW8jWY4bB//1\nX7BnjzOe/ltvwSmnwJVXwssvgw2xbIxph45cGZsEnA7crqrvi8ivgLuBqJvpCxYsaHpcVFREUVFR\nB8JpmzNzcniztJTbBwzosn1GLSkJLrzQuZWVwZ//DIsWwc03w9y5Tkt/wgS7gMuYXqC4uJji4uIO\nbaMjpZsTgXdV9ZTQ87NwEv0woCisdPOmqo6O8H5XSzebq6u5eONGdkyb5loMbfbxx05pZ8kSyM6G\nG26Ar3/dOaFrjOkVurR0EyrP7BGRkaFFs4BNwMvAv4WWzQNeau8+OtOo9HQO+/3sr6tzO5ToDR8O\nP/0p7NzpjLG/eTOMGQOzZ8Ozzzr9+o0xppmO9ropxOlemQzsBG4EEoE/AScDu4GrVLUswntdbdED\n/ODjj9lRW8sLY8ci3bUMUl0NL77o9NpZu9ap58+bB2eeaaUdY3ogu2CqjeqCQaavW8c3+/Xjtnis\n1bfV3r1Oj53Fi52umzfc4HTXHDLE7ciMMTFiib4dttXUMGP9epYXFjIuM9PtcGJDFdascWr5zzzj\nXJE7b57T2o+n7qTGmDazRN9OSw4c4Be7d/P+pEmk97QrU+vq4NVXnVb+v/4FF1/sJH27CteYbskS\nfTupKtdv2UJ6YiKP9OQrUj//3GnhL17sPL7uOifpjzrmejZjTJyyqQTbSUT4n5EjebOsjD9//rnb\n4XSevn3hO99xTtq+9ppTx585E6ZOhYcfhqoqtyM0xnQCa9GHeb+igtkbN7L69NMZ0lsmDvf74Z//\nhMcec67EveMO55ab63ZkxpgIrEXfQZOzs7lr0CDmbtlCQzDodjhdIykJvvIVeO45ePttp4/+sGFw\nzz3OIGvGmG7PEn0zdw4cSG5SEgs++cTtULreqafCE084pZ2yMuf5v/+7023TGNNtWaJvJkGExaNG\n8YcDB1heWup2OO4YMsSp2X/4odMzZ/x4uPVWp7VvjOl2LNFH0DclhT+MGsUNW7ZwqL7e7XDc078/\n/PKXsG2bcyL3jDOcC7A2b3Y7MmNMG1iib8GX8vO57sQT+betWwnG2UnjLnfCCXD//c5k6KNHO33w\nr7wS1q93OzJjTBQs0R/H/UOH4m1o4NdWo3bk5DgnaXfudKY/vOgiZ0C1d95xOzJjzHFY98pW7PL5\nmLpuHa+NH88kGz7gaHV18Ic/wAMPwODBcO+9MGuWDaZmTCeyK2M7ybOff86Pd+1i3aRJZCV1ZK6W\nHsrvh6efhp//3Bkn/957naEWLOEbE3OW6DvRN7Zuxa/K4tHHzKFiGgUCzpDJP/uZ8/jee51avo2p\nY0zMWKLvRNWBAJPXruXeQYO47qST3A4nvqnCsmVOwvd64e67nXF1kpPdjsyYbs8SfScrqari/JIS\nVk6cyIj0dLfDiX+qUFwMCxc6PXb+4z/gppsgLc3tyIzptlwZAkFEEkRknYi8HHo+RERWichHIvK0\niPSYonZhZibzBw9m7ubN1PeWIRI6QsTpivnGG86oma+9BqecAv/v/9kAasZ0oVh0r/wuEH4FzQPA\nL1X1VKAM+EYM9hE3bh8wgIGpqdxjV4m2zbRp8Ne/OiWd1audhH///c5QC8aYTtWhRC8iA4HZOPPG\nNpoJPB96vBi4rCP7iDciwuOjRvHsoUO85vW6HU73M2EC/OlPzkiZO3Y4A6j96EfO+PjGmE7R0bLK\nr4AfAjkAIlIAlKpqY11jL9C/g/uIOwXJyTw5ejTXbN7MukmT6Jea6nZI3c+oUU4f/F27YNEi5/kN\nN8DVVzsjaropOdkZ3yfBric0PUO7/0eJyBzgoKpuEJGixsWhW7gWz7guWLCg6XFRURFFRUUtrRp3\nzs3N5ZZ+/bhh61b+Pn48CdZnvH2GDoX/+R/4z/90xtX5znfcjgjKy537O+90Dj4ZGe7GY3q14uJi\niouLO7SNdve6EZGfA9cBfsADZAF/AS4ATlLVoIhMA+ar6oUR3t/tet005w8GmVlSwuz8fO4ePNjt\ncEysqMKKFfDgg879zTfDt7/tDPJmjMu6tNeNqt6jqoNU9RTgGmC5ql4HvAlcFVptHvBSe/cR75IS\nElg6ejS/2ruXVY2tQNP9icDZZzsXf737LlRWwtixTuveBnIz3VBnFCHvBr4nItuAfODxTthH3Dg5\nLY3fjRzJtVu2UO73ux2OibXhw+E3v3EGcjvtNGdoh/POc3oQWRdb003YBVMxctu2bRxuaODpMWMQ\nq9f3XA2nSdZ/AAAT9ElEQVQN8Oc/O2Wdigqr45suZ3PGuuiXw4axuaaG3x844HYopjMlJ8O118Ka\nNfD44/D6686MXPfcA/v3ux2dMRFZoo8RT2Iiz4wZw907d7KlutrtcExnszq+6UYs0cfQmIwMfj50\nKNds3kxtIOB2OKarWB3fxDmr0ceYqnL15s2cmJLCb0aMcDsc4war45tOZDX6OCAiPDJyJK94vbz0\nxRduh2PcYHV8E2cs0XeC3ORknho9mls++oi9tbVuh2PcYnV8Eycs0XeS6Tk5fHfgQL6+ZQuBHlii\nMm1kdXzjIqvRd6KAKheUlHBObi7zhwxxOxwTT9ys4weDzng+Xm/rt5oa+MpXnNjsbzgu2AxTcWh/\nXR2T1q7l2TFjOCc31+1wTLzp6Lg6tbUtJ+nDhyMvLytzDigFBc4tP//I4+a3pCSn9PTMM0fKTldd\nBVlZnfu9mBZZoo9Ty7xe/s+2bWyYPJl8mzf1GKrKwfp6tvl8JIlwRlYWSb1xiOCPP4Zf/xqefBIu\nugjOPx9KS4/f4m5oaDlJt3TLy2v7/L319fDqq7B4sTM95EUXwbx5MHOmTf7exSzRx7E7P/6YT2pr\neWHs2F47REK538+2mhq2+3xsq6lhW9h9akICIz0eaoJBdtfW8pX8fC4qKOAr+fnk9baDY2kpPPoo\nlJS0nrQzM52Tvl3piy/g6aedpH/ggDPx+7x5MHp018bRS1mij2N1wSDT163jm/36cduAAW6H02lq\nAwF21NYek8i31dRQHQgwMj2dkR7PUfcjPJ6jkvne2lqWHT7MK14vxWVlTMzM5KKCAi4qKGBUenqv\nPVDGpU2bnIT/5JMwcKCT8K+5xjkImU5hiT7ObaupYcb69bxRWMj4zEy3w2m3gCqfhiXz8Bb6Z3V1\nDElLi5jQ+6WktDlJ+wIB3iwr4xWvl1e8XpJEmpL+ubm5pPbGEk888vudSeAXL3bmBZ4500n6s2e3\nvUwUL/x+2LjR6Rr77rvO4/x854B28snOffjjgoIu+XVlib4bWHLgAL/YvZs1kyaREce1zfC6efPW\n+a7aWvomJ0dM5oNTUzutvq6qfFhd3ZT0P6yuZlZeHhcVFDA7P5+TbErH+FBe7vQoWrIEtm6FuXOd\npD9xYteXmdri0KEjSf3dd2HtWieJT5/u3AoLnc+2dy/s2XP0/d694PMdnfib38foYGCJvpu4fssW\nPAkJPHLqqa7GURcMsreujr11deyureVjn68poW8Pq5s3T+jDPB7S4+Agdai+nr+FSjyvl5Yy3ONp\nau1PzMy06R3jwY4d8Mc/Okk/I8PptXPdddCvn7txNW+tv/uuc+7hjDOOJPapU50T19GqqoJ9+yIf\nBBofx+BgYIm+m6j0+zl97Vp+PnQoV/Xt2yn7CE/ie2prjzwOuy/3++mfmsrA0G2Ex9Ni3TzeNQSD\nvFNe3tTarwgEmBNK+rNyc8l0e8Lx3i4YdLqPLl4ML7wA06Y5rfxLLwWP57hv9QUCCJDWkcZFa631\nadNgzJjOnxC++cEg0q+DVg4GMnFi1yV6ERkILAFOAgLAo6r6kIjkAc8Cg4FPgK+p6jHz7PXmRA/w\nfkUFszduZPXppzOklT/05tqTxE+OcN83JaXHtnq319Twaijpv1dZyYzs7KbWflu/bxNjNTXwl784\nSX/NGrjiCifpz5gBIjQEg6yprOSN0lKWl5WxpqICT2IiN/frx+0DBjCgtRJdZ7TWu1LjwSDSQWDP\nHmTjxi5N9CfhTAK+QUQygbXApcCNgFdVF4nIXUCeqt4d4f29OtED/HLPHp47dIi3JkwgOdSSCE/i\n4Yk8PImX+f30T0nh5LS0XpnE26rC7+cfpaW84vXyqtdL3+TkpqQ/LTu7y/rs+wIBvA0NeP1+577x\n1sLzzMREpmVnMz10G+bx9LweR/v2EXzySUreeIPlw4fzxvnns6KggGEZGczKzWVmXh5n5+TweUMD\nv967lycPHmROQQF3DhzI6Y0XbTW21letcu7ff9+d1noXcbV0IyJ/Af47dDtXVQ+GDgbFqjoqwvq9\nPtEHVZmzcSPehgYCqlEl8YGpqZxoSbzdgqqsqaxsKvG0p89+UJWy8OQcZeIOqFKQnOzckpKOPG7h\neZnfz7sVFU232mDwqMQ/JSurW5akVJVtPp/TYi8tpbisjBOSk5nZ0MCst9/m3Ecf5YRBg5x6/pVX\nQnZ203tLa2t5bMMGHqqsZPihQ3zv+eeZs3w5CVOmdI/Wegy4luhFZAhQDJwG7FHVvLDXvKp6TKda\nS/SOcr+f4rIy+qekWBJ3QaQ++xfk5yPQYuIu8/vJTExsNVE3f56RmNihFvne2tqmpL+qooKSqipG\npqc3Jf54bvXvrq1leWkpb5SVsby0lEQRZuXlMTPUaj+qHBPpKtxBg45qrTeceSbPnX8+Dw4cSHly\nMv8+cCDzTjoprnuyxYoriT5UtikG7lfVl0TksKrmh73eYqKfP39+0/OioiKKioo6FIsxHdHYZ395\naSlJIi0m7vykpLgYoqEuGGR9ZWVctvo/r69v+i7fKC2lIhDgvNzcpuQe9QGp8Spcr9cpwTRrrasq\nK8rL+dXevbxdXh59Hb8bKS4upri4uOn5fffd17WJXkSSgFeA11T116FlW4CisNLNm6p6zLXR1qI3\nJvbcavWX+/28VVbWdAJ1d20t5+TmMjOU3MdmZHT6L9UdPl/LdfwepMtb9CKyBPhCVb8XtuwB4LCq\nPmAnY41xV2e1+msCAVaWl7M8lNw3VVczLTvbabHn5TEpM9O1Xz2lDQ089tlnPLRvH8M9Hr43cCBz\nCgp6TEm0SxO9iMwA3gI2Ahq63QOsBv4EnAzsBq5S1bII77dEb4wLwlv971ZU8EEUrf6GYJDVlZUs\nD+vyWJiZycy8PGbl5jItO7tj/dw7QUMwyHOHDvHg3r2U+/09po5vF0wZY9rseK3+cRkZbKiqYkV5\nOcM8nqO6PGZ1kx4/Pa2Ob4neGBMTja3+jdXVFGZmcm5ODiekpLgdVof1hDq+JXpjjIlCd67jW6I3\nxpg2iLc6fm0gwL76+ohXxDdeLX/orLMs0RtjTFt1RR2/tSS+p66OCr+fAS2NTxW6Wv6k1FRL9MYY\n0xHtqePHKon3SU5utXxkpRtjjImR5nX8W/r1axqTqi1JvDGRR5PEo2GJ3hhjYqyxjr/04EFykpI6\nNYlHwxK9Mcb0cO1J9O6PzGSMMaZTWaI3xpgezhK9Mcb0cJbojTGmh7NEb4wxPZwlemOM6eEs0Rtj\nTA/XaYleRL4iIltFZFtopqljvP3p22w+tJmDVQdpCDR0VijGGNOrdcoFUyKSAGwDZgH7gTXANaq6\nNWwdnfbImZTWefH6vJT6SslIyaDAU0BBesHR95GWhe4zUzLjctb71qgq9YF6ahpqeOftd5j9pdkk\nSO/9gaWqVDdUU1xczJwvzemW/6axVlxcTFFRkdthxAX7Lo5ozwVTnTVFzBnAdlX9FEBEngEuBbaG\nr1Ty3XeorYWUFMhKD5KWU04g10tptpfKbC+fZniRdC/q8RJM3Yw/xUtDkpf6RC+1CV5q8KL4yUjM\nJyuxgJyUAnJTCsgPHRz6ZBTQJ7OAk7ILOCmngP65zvN8Tz5JCcd+9PDk6/P7nPsGX9ue+31Rvcfn\n95GUkIQnyYPvnz4CqwLkefIiHszyPfktHuzSktI66Z+w/fxBP6W+Urw+L94ab+T7CMsSJZHA8gDB\n94LkpeUd/fmjOOinJnXPGYNaYsntCPsuOqazEv0AYE/Y8704yf8oNTWgCrW14PMlUFOTh8+XR03N\ncHw+5/XW7it9tZTVeSlv8FLh91Ie9PKZOgeBuoQD1CVuoiHZSyD5MME0L6R7Ia0UacgksSEPkSCa\nVEMwyUcwoYYETSZRPSSTTjIeUiSdlAQPqQnppCV68CSn40nykJ6cTnqKh8xUD5mp6WSlZdPPk052\nloecjHRy0j1kpqTjSXbWbXxP+PPEBGfM6wW1C7j33ns57DvclPjCH3t9XnaV7oqYIJMTk9v8Kygn\nLSeqXw+NrewWk3ULSbuqvorctNwWD1iDcwdHjMuT7GFBwwLuvefeYz5/+P2O0h3HLDvsO0xKYkqb\nvoeC9AJyUnM69Ouhtt7P4UofpZU+SqtqKKv2UVZVQ4XPR3lNDZW1Pip9NVTV+aiqq6GmIfxgX0Nd\nwEdtsIb6oI96avCrjwapISA+Gt49yH+Vv0JS49+jOH+HKQke0hKdv8fGv6mMlHQyUpy/xcw0D9me\ndLI9HnLSnb/FvMx0cjM95Gelk5/lIT0tud2f2XQ/nZXoI/3PiVgjEgGPx7nl57dnV2k4x5UBra7Z\neFCprglyoKycA2WHaahPQus9aH06gToPdb7EqA8yFT440MLrjb9U0tOdz3a8+w8/hH37koETQ7fI\nCkK3ps+D0iBV1CV4qUtwfuUcSvCyp+n5TuoS1zS91njvl2pSg3mkBgtIDeaH7vPwSzW1id6jtiea\nSFqwgNRgQdP9kcdDSAtOIjVYQL9gAUOCBaQGCkjVXCTC6Z/K0O2T4/wbrV3b+nchwAmh29HfReVR\nn/VggpfdCd7QZ/qYuoT3ml6rSzgc+i5qmr6LI58vj4aAn7pgDQ34aNAa/OLDLzUEEpwGQTDRB8k1\nIAHwexB/OglBD4mBdBLVQ5IeaSgki5OYUxM8pCU5B/nctFz6p/QjMyWdjFQPWWlOgs5JdxJ0bkY6\nz5Y/zOw5N1Fe4xw4Knw1VNU6B4zqeh/V9c4Bw1vjZV/lXmoDzgGjLlhDg/po4EjcwQQfgcQatDFu\nFfB7SAikkxDwkBg8Nu6UBA8pCR4S4qDPxhfvrOWZ6n1uh9FtdVaNfhqwQFW/Enp+N6Cq+kDYOjai\nmTHGtENcjF4pIonARzgnYz8DVgNzVXVLzHdmjDHmuDqldKOqARH5NvA6ThfOxy3JG2OMO1wbj94Y\nY0zXcOUsSzQXU/UGIjJQRJaLyGYR2Sgi33E7JjeJSIKIrBORl92OxW0ikiMifxaRLSKySUSmuh2T\nW0TkThH5UEQ+EJGlIpLidkxdRUQeF5GDIvJB2LI8EXldRD4Skb+LSE5r2+nyRB+6mOq/gS8DY4G5\nIjKqq+OIE37ge6o6BpgO3N6LvwuA7wKb3Q4iTvwaWKaqo4FCoFeWPkWkP3AHcLqqjscpN1/jblRd\n6gmcXBnubuCfqnoqsBz4UWsbcaNF33Qxlao2AI0XU/U6qnpAVTeEHlfh/GduvZ9oDyQiA4HZwGNu\nx+I2EckCzlbVJwBU1a+qFS6H5aZEIENEkoB0nKvtewVVXQGUNlt8KbA49Hgx8NXWtuNGoo90MVWv\nTG7hRGQIMAF4z91IXPMr4Ie0cL1FL3MK8IWIPBEqZT0iIh63g3KDqu4HfgnsBvYBZar6T3ejcl1f\nVT0ITmMR6NPaG9xI9FFfTNVbiEgm8Bzw3VDLvlcRkTnAwdCvGyHy30hvkgScDvxWVU8HanB+rvc6\nIpKL04IdDPQHMkXkWnej6n7cSPR7gUFhzwfSi36KNRf6Ofoc8EdVfcnteFwyA7hERHYCTwPnicgS\nl2Ny015gj6q+H3r+HE7i743OB3aq6mFVDQAvAGe6HJPbDorIiQAichLweWtvcCPRrwGGi8jg0Nnz\na4De3Mvi98BmVf2124G4RVXvUdVBqnoKzt/DclW9we243BL6Wb5HREaGFs2i956k3g1ME5E0cQYl\nmkXvOzHd/Ffuy8C/hR7PA1ptIHbWWDctsoupjhCRGcDXgY0ish6nhHWPqv7N3chMHPgOsFREkoGd\nwI0ux+MKVV0tIs8B64GG0P0j7kbVdUTkKaAIKBCR3cB84BfAn0XkJpwD4VWtbscumDLGmJ7N/WHp\njDHGdCpL9MYY08NZojfGmB7OEr0xxvRwluiNMaaHs0RvjDE9nCV6Y4zp4SzRm7gjIivcjiFWQgOT\nXe52HKZ3s0Rv4o6qnuV2DPEgNHeDMR1mf0gm7ohIZdjj/wjNLLReRH4eWvamiDwoImtCsy9NFpHn\nQzPu3B/23hdD62wUkW+2tk8RWSgiG0RkpYj0CS0/qkXeGJuInCsixSLyFxH5WET+r4hcKyLviUiJ\niAwN2/yXQnFsDY3U2Tib1qLQ+htE5Oaw7b4lIi/Re8e3MTHW5WPdGBMFBRCRC4FLgCmqWhcasrZR\nnapOCU2/+BIwESgDdojIg6paCtyoqmUikgasEZHnQ8sjyQBWquqPReQB4Gbg5y3FFjIeGBXa707g\nUVWdGorpDuB7ofUGh2IdDrwpIsNwBqMqC62fArwjIq+H1p8IjFXV3dF+YcYcj7XoTTybBTyhqnUA\nqloW9lrjiKcbgQ9V9XNVrcdJuCeHXvt3EdkArMIZDnvEcfZVp6rLQo/XAkOiiG9N2H534AzU1xhT\n+Pv/FIr/49B6o4ALgBtCg9m9B+SHxbfakryJJWvRm3gmtDwpTV3oPhj2uPF5koicC8wEpoZ+DbwJ\npB1nXw1hjwMc+b/h5+gGUfjE1M33Gx5T+P+t8M/Q+JkEuENV/xEeRCju6uPEaUybWYvexKPGsbdf\nB25qnEZPRPLasI0coDSU5EcB06LcZ3OfAJND+/8qkNyGGBpdJY5hwFDgI+DvwG2hiWcQkREikt6O\nbRvTKmvRm3ikAKr6dxEpBN4XkTpgGfBjjj/1ZONrfwP+j4hswkms70azzwgeBV4KlVj+Tsut7ePF\ntBtYDWQBt6pqvYg8hlPeWReaUONzopjk2Zj2sPHojTGmh7PSjTHG9HBWujG9iois4sgJ1cYTo9er\n6ib3ojKmc1npxhhjejgr3RhjTA9nid4YY3o4S/TGGNPDWaI3xpgezhK9Mcb0cP8/CFISuNReJA8A\nAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0eb026ac8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "icma_score.plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0eb067550>"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXYAAAEWCAYAAAByqrw/AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0eb090080>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "icma_score.T.plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0e8eaa128>"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEQCAYAAACgBo8fAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0eb0a8898>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "icma_score.loc[1:].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0eaf16cf8>"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW8AAAEPCAYAAACNyEVOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkcZbIpFIrBBpvCUSicQK+X+2S2fR8ZYsVAAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e8ecf5f8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "icma_score.loc[1:].T.plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.text.Text at 0x7fc0e8d72b70>"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW0AAAESCAYAAAA2dYQ2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nGhlxguoFZjgAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e8d5d080>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = icma_score.loc[1:, icma_score.columns != '-'].plot(kind='bar', xticks=list(range(1, 11)))\n",
+    "ax.set_xlabel('Day')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW0AAAESCAYAAAA2dYQ2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAG1JJREFUeJzt3X2UFPW95/H3B4nKc1iEGb3cMMqCIEfgJqJuiKQNiomI\nhk02riYHNT7lUTcxe9R7zXFITI56TkzijSa5RhLcEK/XGHyKWVFMq4S4RnmQi4iJD6DiTFBRBJQA\nfvePLibDTA/TM9MPVcPndU4fqquruz40PR9qqqvqp4jAzMyyoU+tA5iZWelc2mZmGeLSNjPLEJe2\nmVmGuLTNzDLEpW1mliGdlraksZKWS1qW/PmWpIskDZW0SNJaSfdLGlKNwGZm+zJ15ThtSX2Al4Fj\ngK8Ar0fEtZIuBYZGxGWViWlmZtD13SMnAM9FxEvAacD8ZP584JPlDGZmZu11tbRPB36VTNdFRDNA\nRDQBw8sZzMzM2iu5tCW9DzgVuD2Z5fPfzcyqrG8Xlv0E8GREvJbcb5ZUFxHNkuqBvxZ7kiSXu5lZ\nN0SE2s7ryu6RM4BbW92/Gzg7mT4LuGsvK+7R7corr+zxa/SGDGnJ4QzpypGGDGnJkYYM5crRkZJK\nW1I/Cl9C/qbV7GuAEyWtTR67upTXMjOz7itp90hEvEObLxoj4g0KZW1mZlWSiTMic7lcrSOkIgOk\nI4cz/F0acqQhA6QjRxoyQGVzdOnkmm6tQIpKr8PMrLeRRPTwi8iaa6ivR1K7W0N9fa2jmVknGhoa\niv787uu3hoaGLr2PmdrSllT04HDBXr9tNbPaS7Ycax0jdTp6X3rFlraZ2b7OpW1mliEubTOzDHFp\nm5klDj30UN54441ax9grl7aZ9Wq7du0qeVmp3fd+qdOVC0aZmaXOt7/9bRYsWMCIESMYOXIkH/rQ\nh7j33nuZPHkyf/jDHzjjjDMYM2YMV111FTt27GDYsGEsWLCA4cOH88Ybb3DGGWewYcMGjj322D2O\n4liwYAHXX389O3bs4JhjjuHGG29MRal7S9vMMuvJJ59k4cKFPPXUU9x333088cQTLcW6Y8cOHn/8\ncb72ta9x3HHH8dhjj/Hkk09y+umnc+211wIwd+5cjjvuOFatWsXs2bNZv349AM888wy33XYbS5cu\nZdmyZfTp04cFCxbU7O/Zmre0zSyzlixZwmmnncb+++/P/vvvz6mnnkpEIInTTz+9ZbmXXnqJz3zm\nM7z66qvs2LGDQw89FIBHHnmEhQsXAnDyySczdOhQABYvXsyyZcuYMmUKEcG7775LXV1d9f+CRbi0\nzSyz2p6U0vr+gAEDWqa/+tWv8o1vfIOZM2fy8MMPM3fu3JbHWu/y2P38iOCss87iO9/5TqWid5t3\nj5hZZn3kIx/hnnvuYfv27WzZsoV777236BmGmzdv5pBDDgFg/vz5LfOnTZvGL3/5SwB+97vf8eab\nbwIwffp0fv3rX7Nx40YANm3a1LLrpNZc2maWWUcddRSnnnoqkyZNYubMmUycOJHBgwe3+8Lwyiuv\n5NOf/jRTpkxh+PDhe8x/5JFHOPLII7nzzjv5wAc+AMD48eO56qqrmDFjBpMmTWLGjBk0NTVV9e/W\nEV97xMyqolLXHtm6dSsDBgzgnXfeYdq0adx0001Mnjy57OuplK5ee8T7tM0s0y644AKefvpptm/f\nztlnn52pwu4Ob2mbWVX4Kn/F+Sp/VVDsut6+preZVYO3tMuUw1v7ZnvnLe3ivKVtZtaLubTNzDLE\npW1mliEllbakIZJul7RG0mpJx0gaKmmRpLWS7pc0pNJhzcz2daVuaf8QuC8ixgOTgGeAy4AHI+Jw\n4CHg8spENLPeqr6+siO019c3lJxl06ZNzJ49m4EDB3LooYdy6623drjspZdeykEHHcTw4cO59NJL\ny/BOlK7Tk2skDQKOi4izASJiJ/CWpNOAjyaLzQfyFIrczKwkzc3roOgxYeV6/dKvf/2lL32JAw88\nkI0bN7Js2TJmzpzJ5MmTGT9+/B7L/fSnP+Xuu+9m1apVAJxwwgmMHj2aCy64oKzZO9LpIX+SJgH/\nBjxNYSv7CeB/Aa9ExNBWy70eEcOKPN+H/JlZ0UPbCtcIqeTPTWmHGW7bto2hQ4fy9NNPM3r0aADm\nzJnDyJEj+e53v7vHslOnTuWcc87hvPPOA2DevHn87Gc/Y+nSpd1LWIFD/voCHwRuiIgPAlspbFG7\nocysV3j22Wfp27dvS2EDTJo0idWrV7dbdvXq1UyaNKnT5SqllGuPvAy8FBFPJPfvoFDazZLqIqJZ\nUj3w145eoLGxsWU6l8uRy+W6HdjMrNy2bNnCkCF7HksxZMgQ3n777U6XHTJkCFu2bOlxhnw+Tz6f\n73S5Tks7KeWXJI2NiGeB6cDq5HY2cA1wFnBXR6/RurTNzNJm4MCBbN68eY95mzdvZtCgQZ0uu3nz\nZgYOHNjjDG03aFsP1NBaqUePXAQskLSCwn7t71Io6xMlrQVOAK7uQV4zs5oZO3YsO3fu5LnnnmuZ\nt3LlSiZMmNBu2QkTJrBy5cqW+ytWrCi6XKX42iNlyuEvIs32Ls1fRAKceeaZSOKmm25i+fLlnHLK\nKSxdurTo0SPXX389DzzwAAAzZszg4osv5vzzz+9eQl97xMys62644Qa2bdvGiBEj+OxnP8tPfvIT\nxo8fz5IlSxg8eHDLchdeeCGzZs3iyCOPZOLEicyaNavbhd0d3tIuUw5vaZvtXbEtyvr6huRY7cqo\nqxtFU9OLFXv9cujqlrZLu0w5XNpme+dLsxbn3SNmZr2YS9vMLENc2mZmGeLSNjPLEJe2mVmGuLTN\nzDLEpW1mliEubTOzDHFpm1nN1I+sr+xwYyPrS86Sy+Xo168fgwcPZtCgQe2uOdJaqocbMzOrlOZX\nmqGxgq/f2FzyspK48cYbOeecc/a6XK2HG/OWtplZopTT7G+55RYuueQSDj74YA4++GAuueQSfvGL\nX1Q+XMKlbWaWuPzyyxkxYgTHHXccDz/8cNFlaj3cmEvbzAy49tpref7553nllVc4//zzmTVrFi+8\n8EK75So13FipXNpmZsCUKVMYMGAA73vf+5gzZw5Tp07lvvvua7dcpYYbK5VL28ysiI4umVrr4cZc\n2hnVUF/8UKmG+tIPcTKzgrfeeotFixaxfft2du3axYIFC3j00Uc56aST2i07Z84crrvuOjZs2MCG\nDRu47rrrOj3ipJx8yF9GrWtuLj4gRHPphziZWcGOHTu44oorWLt2Lfvttx/jxo3jrrvuYsyYMSxZ\nsoSTTz65ZZfIhRdeyAsvvMCRRx6JJM4//3wPN7aX1/LINXvJUIscZqUqOtzYyPrCsdoVUvcPdTS9\n3FSx1y8HDzdWBS5ts67zcGPFebgxM7NerKR92pJeBN4C3gN2RMTRkoYCtwGjgBeBz0TEWxXKaWZm\nlL6l/R6Qi4h/ioijk3mXAQ9GxOHAQ8DllQhoZmZ/V2ppq8iypwHzk+n5wCfLFcrMzIortbQDuF/S\nnySdl8yri4hmgIhoAoZXIqCZmf1dqcdpfzgimiQNBxZJWgtFD14wM7MKKqm0ky1pImKjpDuBo4Fm\nSXUR0SypHvhrR89vbGxsmc7lcuRyuZ5kNjPrdfL5PPl8vtPlOj1OW1J/oE9EbJE0AFgEzAWmA29E\nxDWSLgWGRsRlRZ7v47SrlKEWOcxK5eO0i6vEcdp1wBJJy4HHgHsiYhFwDXBisqvkBODqHiU3s31O\nR9fQKdetK9fiueGGG5gyZQoHHnggn//85/d4bPHixYwfP56BAwcyffp01q9f3+HrrFu3jo997GMM\nGDCAI444gsWLF3f7/SnGZ0SWKUcaMtQih1mpim1RdvQ5Lts6Kf3n4c4776RPnz7cf//9vPPOO8yb\nNw+A119/ndGjRzNv3jxOOeUUrrjiCh599FH++Mc/Fn2dD3/4w0ydOpWrrrqK3/72t5x77rn85S9/\nYdiwYcUz+jT2ynNpm3Vd2kt7t29+85u88sorLaV90003MX/+fJYsWQLAtm3bOOigg1ixYgVjx47d\n47l//vOfmThxIq+99hoDBgwAYNq0aXzuc5/rcAxJn8ZuZlZGbYcX69+/P6NHjy46xNjq1as57LDD\nWgobyj8cmUvbzGwv2g4vBoUhxt5+++0eLdtdLm0zs71oO7wYFIYYGzRoUI+W7S6XtpnZXkyYMIEV\nK1a03N+6dSvPPfdc0SHGJkyYwPPPP8/WrVtb5q1cubKsw5G5tM3MgF27dvHuu++ya9cudu7c2TL0\n2OzZs1m9ejULFy5k+/btfOtb32LSpEntvoQEGDNmDJMnT2bu3Lls376dhQsXsmrVKj71qU+VL2hE\nVPRWWEV5ABFFbuVcR3dzpCFDLXKYlarYZ7Ojz3G5bl35eWhsbAxJ0adPn5bb3LlzIyJi8eLFMW7c\nuOjfv38cf/zxsW7dupbnfeELX4gvfvGLLffXrVsXuVwu+vXrF+PGjYuHHnqoy+9Lq/ntOtWH/JUp\nRxoy1CKHWamKHdrWUF/PugqOazqqro4XmzzcWFcDubSrlKEWOcxK5dPYi/Nx2mZmvZhL28wsQ1za\nZmYZ4tI2M8sQl7aZWYa4tM3MMqTUMSLNzHpk1KhRSO2OYNvnjRo1qkvL+zjtMuVIQ4Za5DCzyvBx\n2mZmvYBL28wsQ1zaZmYZ4tI2M8sQl7aZWYa4tM3MMqTk0pbUR9IySXcn9xskPSZpraRbJfmYbzOz\nCuvKlvbFwNOt7l8DfC8iDgfeBM4tZzAzM2uvpNKWNBI4GfhZq9kfA+5IpucDs8sbzczM2ip1S/v7\nwP+mMOYakoYBmyLiveTxl4FDyh/PzMxa67S0Jc0EmiNiBYWzpEn+bHt6pc+dNjOrsFK+PJwKnCrp\nZKAfMAj4ATBEUp9ka3sksKGjF2hsbGyZzuVy5HK5HkS2NCk2MGu1B1PtaHDYLAzqarZbPp8nn893\nulyXLhgl6aPAJRFxqqTbgN9ExG2SfgysjIifFHmOLxhVpQxpyZGGDLXIYVZOlbhg1GXA1yU9C/wX\n4OYevJaZmZXAl2YtU440ZEhLjjRkqEUOs3LypVnNzHoBl7aZWYa4tM3MMsSlbWaWIS5tM7MMcWmb\nmWWIS9vMLENc2mZmGeLSNjPLEJe2mVmGuLTNzDLEpW1mliEubTOzDHFpm5lliEvbzCxDXNpmZhni\n0jYzyxCXtplZhri0zcwyxKVtZpYhLm0zswxxaZuZZYhL28wsQzotbUkHSPp/kpZLWiXpymR+g6TH\nJK2VdKukvpWPa2a2b+u0tCNiO3B8RPwTMBn4hKRjgGuA70XE4cCbwLkVTWpmZqXtHomIbcnkAUBf\nIIDjgTuS+fOB2WVPZ2ZmeyiptCX1kbQcaAIeAJ4D3oyI95JFXgYOqUxEMzPbrdQt7feS3SMjgaOB\n8cUWK2cwMzNrr0tfHkbEZkkPA8cC75fUJ9naHgls6Oh5jY2NLdO5XI5cLtetsGa2dw319axrbm43\nf1RdHS82NdUgkZUqn8+Tz+c7XU4Re99AlnQQsCMi3pLUD7gfuBo4C/hNRNwm6cfAyoj4SZHnR2fr\nKJWkopvzAsq1ju7mSEOGtORIQ4Za5EgDvxe9hyQiQm3nl7KlfTAwX1IfCrtTbouI+yStAf5d0reB\n5cDNZU1sZmbtdLql3eMVeEu7ahnSkiMNGWqRIw38XvQeHW1p+4xIM7MMcWmbmWWIS9usTBrq65G0\nx62hvr7WsayX8T7tMuVIQ4a05EhDhrTkSEOGWuSwnvM+bTOzXsClbWaWIS5tM7MMcWmbmWWIS9vM\neqViR/P0hiN6fPRImXKkIUNacqQhQ1pypCFDLXKkQdbfCx89YmbWC7i0zcwyxKVtZpYhLm0zswxx\naZuZZYhL28wsQ1zaZmYZ4tI2M8sQl7aZWQWV+zrrPiOyTDnSkCEtOdKQIS050pChFjnSIC3vRXc/\nFz4j0sysF3Bpm5lliEvbzCxDOi1tSSMlPSTpaUmrJF2UzB8qaZGktZLulzSk8nHNzPZtpWxp7wS+\nHhFHAP8N+LKkccBlwIMRcTjwEHB55WKamRmUUNoR0RQRK5LpLcAaYCRwGjA/WWw+8MlKhTQzs4Iu\n7dOW1ABMBh4D6iKiGQrFDgwvdzgzM9tT31IXlDQQ+DVwcURskVTygY6NjY0t07lcjlwu14WIZpY1\nDfX1rGtu3mPeqLo6XmxqqlGi9Mvn8+Tz+U6XK+nkGkl9gXuB30XED5N5a4BcRDRLqgd+HxHjizzX\nJ9dUKUNacqQhQ1pypCFDWnKkIUNaclTj5Jp5wNO7CztxN3B2Mn0WcFeJr2VmZt3U6Za2pKnAI8Aq\nIJLbPwOPA/8B/COwHvgfEfFmked7S7tKGdKSIw0Z0pIjDRnSkiMNGdKSoydb2r72SJlypCFDWnKk\nIUNacqQhQ1pypCFDWnL42iNmZvsIl7aZWYa4tM3MMsSlbWaWIS5tM7MMcWmbmWWIS9vMLENc2mZm\nGeLSNjPLEJe2mVmGuLTNzDLEpW1mliEubTOzDHFpm5lliEvbzCxDXNpmZhni0jYzyxCXtplZhri0\nzcwyxKVtZpYhLm0zswxxaZuZZYhL28wsQzotbUk3S2qW9FSreUMlLZK0VtL9koZUNqaZmUFpW9o/\nB05qM+8y4MGIOBx4CLi83MHMzKy9Tks7IpYAm9rMPg2Yn0zPBz5Z5lxmZlZEd/dpj4iIZoCIaAKG\nly+SmZl1pG81VtLY2NgyncvlyOVy1VitmVlm5PN58vl8p8spIjpfSBoF3BMRE5P7a4BcRDRLqgd+\nHxHjO3hulLKOUkii2CsJKNc6upsjDRnSkiMNGdKSIw0Z0pIjDRnSkqOUDJKICLWdX+ruESW33e4G\nzk6mzwLuKvF1zMysB0o55O9XwFJgrKT1ks4BrgZOlLQWOCG5b2ZmFVbS7pEercC7R6qWIS050pAh\nLTnSkCEtOdKQIS05qrF7xMzMUsClbWaWIS5tM7MMcWmbmWWIS9vMLENc2mZmGeLSNjPLEJe2mVmG\nuLTNzDLEpW1mliEubTOzDHFpm5lliEvbzCxDXNpmZhni0jYzyxCXtplZhri0zcwyxKVtZpYhLm0z\nswxxaZuZZYhL28wsQ1zae1E/sh5J7W77Ir8XZumgngwlL+njwA8olP/NEXFNkWWiXMPVFxuKHkob\njr6766OxyAONtMtRqQwd8XvRan1Vfi+6kiMNGdKSIw0Z0pKjlAySiIh2W0bd3tKW1Af4EXASMAE4\nQ9K47r7e3uTz+Uq8bNe8UOsABX4vClLxPpCOHGnIAOnIkYYMUNkcPdk9cjTw54hYFxE7gH8HTuvq\ni9TXNxT9tXu/A/ZrmT7++ONr/6v4i7Vd/W6p+FC+WOsA1Xsfin0+i302a/n5TMVngnTkSEMGqGyO\nvj147j8AL7W6/zKFIu+S5uZ1tP8FG977W6tfx38PHE/xX8/NKqjY57PoZxP8+bSq6MmWdrFNi+rt\nKDIz2wd1+4tISccCjRHx8eT+ZUC0/TJSkovczKwbin0R2ZPS3g9YC0wHXgUeB86IiDU9CWlmZh3r\n9j7tiNgl6SvAIv5+yJ8L28ysgnp0nLaZmVWXz4g0M8sQl7aZWYa4tDsgaZyk6ZIGtpn/8SpmOFrS\nlGT6CElfl3RytdbfQaZbarn+JMNHkvdiRpXXe4ykwcl0P0lzJd0j6RpJQ6qU4SJJ/1iNdXWSY39J\ncySdkNw/U9KPJH1Z0vuqmGO0pG9I+qGk70n6QrX+LWolU/u0JZ0TET+vwnouAr4MrAEmAxdHxF3J\nY8si4oNVyHAl8AkKXxY/ABwD5IETgPsj4jtVyHB321kUTiV5CCAiTq10hiTH4xFxdDJ9PoV/m4XA\nDOCeiLi6SjlWA5MiYqekfwO2Ab+mcATVpIj471XI8BawFXgOuBW4PSI2Vnq9RXIsoPDZ7A+8CQwE\nfkPhvVBEnFWFDBcBs4CHgZOBFcAmYDbwpYjIVzpDTUREZm7A+iqtZxUwMJluAJ6gUNwAy6uYYT8K\nPxSbgcHJ/H7AU1XKsAz4JZADPpr8+Woy/dEq/rsvbzX9J2B4Mj0AWFXFHGtavzdtHltRrfeCwm/I\nM4CbgY3A/wXOAgZV8b14KvmzL9AM7JfcVxU/n6tarbc/kE+mP1Ctn9NkfUOAq4FngNeT25pk3vvL\nvb7U7R6R9FQHt1VAXZVi7BcRWwAi4kUKZfUJSddR/EzQStgZEbsiYhvwXERsTvK8A7xXpQxHAU8C\n/wK8FYUtl3ci4uGIeLhKGQD6SBoqaRiFrbiNABGxFdhZxRz/KemcZHqlpKMAJI0FdlQpQ0TEexGx\nKCLOBQ4BbgQ+DjxfpQxQ+DfZHxhEoTB375I4AKja7hH+ftjyAUkWImJ9lTP8B4Ut/FxEDIuIYRR+\nI90E3F7ulfXk2iOVUkfhyoGb2swXsLRKGZokTY6IFQARsUXSKcA84MgqZfibpP5JaX9o98xkf11V\nSjsi3gO+L+n25M9mavOZGULhPw8BIak+IpqS7xuqeaWm84AfSroCeA34o6SXKFyD57wqZdjj7xuF\ni7XdDdwtqV+VMkBhK/8ZCr8N/gtwu6TngWMpXDyuGn4G/EnSY8A04BoAScOBN6qUAaAh2pwJHhFN\nwDWSPl/ulaVun7akm4GfR8SSIo/9KiLOrEKGkRS2dJuKPDY1Iv5QhQwHRMT2IvMPAg6OiFWVzlBk\n3TOBqRHxz9VedzGS+gN1EVHVi8VKGgQcRuE/sJcjormK6x4bEc9Wa317I+kQgIjYIOn9FL5vWR8R\nj1cxwwRgPPCfEfFMtdbbJsMi4EFg/u7PgqQ64GzgxIg4oazrS1tpm5lliaShwGUULk09IpndTOE3\noKsjou1eg56tz6VtZlYZlTjizaVtZlYhktZHxAfK+Zpp/CLSzCwzJD3V0UNU4Ig3l7aZWc9U9Yg3\nl7aZWc/cS+FkvBVtH5CUL/fKvE/bzCxDUndGpJmZdcylbWaWIS5tM7MM8ReR1itJ2gWsBPancDGn\nW4AfhL/EsYxzaVtvtTWS654n12u5lcKFpxprGcqsp7x7xHq9iHgNuAD4CoCkUZIekfREcjs2mX+L\npFm7nyfpl8nVHc1Sw4f8Wa8kaXNEDG4z73VgHPA28F5E/E3SfwVujYgpkqYBX4uI2cmwYsuBMckl\nas1SwbtHbF+y+zfL/YEfSZoM7ALGAETEI8k4hwcBnwLucGFb2ri0bZ8g6TAK10jfmIy/2RQREyXt\nB7zTatH/A3wO+J/AOUVeyqymXNrWW7WM8JKMZPJj4F+TWUMojDYDMIfC6Cu7zQceB16NiDVVyGnW\nJS5t660OlLSMVof8RcT3k8duBO6QNIfCoLhbdz8pIv4qaQ2F0d7NUsdfRJq1kgxhthL4YES8Xes8\nZm35kD+zhKTpwBrgehe2pZW3tM3MMsRb2mZmGeLSNjPLEJe2mVmGuLTNzDLEpW1mliEubTOzDPn/\nGhlxguoFZjgAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e8ca2ef0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = icma_score.loc[1:, icma_score.columns != '-'].plot(kind='bar', xticks=list(range(1, 11)))\n",
+    "ax.set_xlabel('Day')\n",
+    "plt.savefig('scores-per-day.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAADtCAYAAACxtL7fAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e8d76ba8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# plt.tight_layout()\n",
+    "ax = icma_score.loc[1:, icma_score.columns != '-'].T.plot(kind='pie', subplots=True, legend=False, layout=(3, 4))\n",
+    "# plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaoAAAETCAYAAABnSkJLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n7qgcx3GcTPP/DgIdbwKqn+AAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e8c11eb8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axes = plt.subplots(nrows=3, ncols=4)\n",
+    "fig.tight_layout()\n",
+    "\n",
+    "target_ax = [axes[r][c] for r in range(3) for c in range(4) if not (r == 2 and c >= 2)]\n",
+    "\n",
+    "ax = icma_score.loc[1:, icma_score.columns != '-'].T.plot(kind='pie', subplots=True, legend=False, \n",
+    "                                                          ax=target_ax, sharex=False, sharey=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWwAAADuCAYAAAAdkD3eAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nFAmOYDs4ODgUCf8PwGg6IJiMf+8AAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e8b819b0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = icma_score.T.plot(kind='pie', subplots=True, legend=False, layout=(3, 4))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaMAAAEUCAYAAACGWlk5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nMgzDMFxngpFhGIbhOhOMDMMwDNf9f88vyLfG6yyZAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e8b0f9b0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axes = plt.subplots(nrows=3, ncols=4)\n",
+    "fig.tight_layout()\n",
+    "\n",
+    "target_ax = [axes[r][c] for r in range(3) for c in range(4) if not (r == 2 and c >= 3)]\n",
+    "\n",
+    "ax = icma_score.T.plot(kind='pie', subplots=True, legend=False, \n",
+    "                                                          ax=target_ax, sharex=False, sharey=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.text.Text at 0x7fc0e3fff898>"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEPCAYAAABShj9RAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e8b034a8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = icma_score.loc[1:, icma_score.columns != '-'].plot(xticks=list(range(1, 11)))\n",
+    "ax.set_xlabel('Day')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0e3f5eeb8>"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEPCAYAAABShj9RAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTGhAV0qpMKEBXSmlwoQGdKWUChP/Acxr6FD5rXnlAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e3f780b8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "icma_score.loc[1:, icma_score.columns != '-'].T.plot(xticks=[0, 5, 10])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# People participating in each task"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {
+    "collapsed": true,
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "pipeline = [{\"$group\": {\"_id\": \"$icma_number\",\n",
+    "                        \"participants\": {\"$addToSet\": '$Personal Identifier'}}},\n",
+    "            {\"$project\": {\"participants\": True,\n",
+    "                         'num_participants': {\"$size\": \"$participants\"}}}]\n",
+    "list(icmas.aggregate(pipeline));"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0     271\n",
+       "1     128\n",
+       "2      86\n",
+       "3      77\n",
+       "4      70\n",
+       "5      60\n",
+       "6      52\n",
+       "7      46\n",
+       "8      43\n",
+       "9      37\n",
+       "10     37\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pipeline = [{\"$group\": {\"_id\": \"$icma_number\",\n",
+    "                        \"participants\": {\"$addToSet\": '$Personal Identifier'}}},\n",
+    "            {\"$project\": {'num_participants': {\"$size\": \"$participants\"}}}]\n",
+    "\n",
+    "participants_per_day = pd.Series(\n",
+    "    {r['_id']: r['num_participants']\n",
+    "        for r in icmas.aggregate(pipeline)\n",
+    "    })\n",
+    "participants_per_day\n",
+    "#     sorted(list(icmas.aggregate(pipeline)), key=lambda r: r['_id'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0e3f846d8>"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEACAYAAAC9Gb03AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e8aec8d0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "participants_per_day.plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0e3e40438>"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEACAYAAAC9Gb03AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/X9/wVJgB8uBLwAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e3e75ba8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "participants_per_day[1:].plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Actual submissions, not unfinished attempts"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {
+    "collapsed": true,
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "pipeline = [{'$match': {'grade': {'$ne': '-'}}},\n",
+    "            {\"$group\": {\"_id\": \"$icma_number\",\n",
+    "                        \"participants\": {\"$addToSet\": '$Personal Identifier'}}},\n",
+    "            {\"$project\": {'participants': True,\n",
+    "                          'num_participants': {\"$size\": \"$participants\"}}}]\n",
+    "list(icmas.aggregate(pipeline));"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Those getting full marks on each day"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {
+    "collapsed": true,
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "pipeline = [{'$match': {'grade': 10}},\n",
+    "            {\"$group\": {\"_id\": \"$icma_number\",\n",
+    "                        \"participants\": {\"$addToSet\": '$Personal Identifier'}}},\n",
+    "            {\"$project\": {'participants': True,\n",
+    "                          'num_participants': {\"$size\": \"$participants\"}}}]\n",
+    "completers = {r['_id']: r for r in icmas.aggregate(pipeline)}\n",
+    "completers;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {
+    "collapsed": true,
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "completers[5];"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "prize_candidates = {}\n",
+    "for i in icmas.find({}).distinct('icma_number'):\n",
+    "    earliest = icmas.find_one({'icma_number': i}, sort=[(\"started\", 1)])[\"started\"]\n",
+    "    icma_finish = earliest.replace(day=earliest.day+1, hour=0, minute=0, second=0)\n",
+    "    prize_candidates[i] = list(\n",
+    "        icmas.find({'icma_number': i,\n",
+    "            'grade': 10,\n",
+    "            'completed': {'$lt': icma_finish}},\n",
+    "               ['Personal Identifier', 'Email address', 'First name', 'Surname', 'completed']))\n",
+    "prize_candidates;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# for i in prize_candidates:\n",
+    "#     winner = random.choice(prize_candidates[i])\n",
+    "#     print('Day {}: {} {} PI {} email {}'.format(\n",
+    "#         i,\n",
+    "#         winner['First name'],\n",
+    "#         winner['Surname'],\n",
+    "#         winner['Personal Identifier'],\n",
+    "#         winner['Email address']\n",
+    "#         ))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "# Times of starting and finishing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# all_starts = pd.DataFrame([{'icma_number': r['icma_number'], 'start_time': r['started'].time()}\n",
+    "#               for r in icmas.find({}, ['icma_number', 'started'])])\n",
+    "# all_starts[:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>icma_number</th>\n",
+       "      <th>start_time</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>9</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>9</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>9</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>9</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>9</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>9</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>9</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>9</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>9</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   icma_number  start_time\n",
+       "0            9          10\n",
+       "1            9          11\n",
+       "2            9          12\n",
+       "3            9          11\n",
+       "4            9          12\n",
+       "5            9          12\n",
+       "6            9          12\n",
+       "7            9          12\n",
+       "8            9          14\n",
+       "9            9          16"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "all_starts = pd.DataFrame([{'icma_number': r['icma_number'], 'start_time': r['started'].hour}\n",
+    "              for r in icmas.find({}, ['icma_number', 'started'])])\n",
+    "all_starts[:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "start_time\n",
+       "0     98\n",
+       "1     22\n",
+       "2     20\n",
+       "3      7\n",
+       "4      5\n",
+       "5      5\n",
+       "6     31\n",
+       "7     40\n",
+       "8     60\n",
+       "9     67\n",
+       "10    61\n",
+       "11    72\n",
+       "12    58\n",
+       "13    59\n",
+       "14    49\n",
+       "15    61\n",
+       "16    56\n",
+       "17    50\n",
+       "18    53\n",
+       "19    45\n",
+       "20    55\n",
+       "21    51\n",
+       "22    43\n",
+       "23    50\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "all_starts_x = pd.crosstab(all_starts.start_time, all_starts.icma_number)\n",
+    "all_starts_x.sum(axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7fc0e3c2a3c8>"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e3d43c88>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAzcAAAEQCAYAAACN54p9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e3d43cc0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure()\n",
+    "fig, ax = plt.subplots(1, 2, figsize=(14, 4));\n",
+    "plt.subplots_adjust(wspace=0.5, hspace=0.5);\n",
+    "\n",
+    "ax = fig.add_subplot(1,2,2)\n",
+    "all_starts_x.ix[:, all_starts_x.columns != 0].plot(ax=ax, legend=False, sharex=False, sharey=False)\n",
+    "\n",
+    "ax = fig.add_subplot(1,2,1)\n",
+    "all_starts_x.plot(ax=ax, legend=False, sharex=False, sharey=False)\n",
+    "\n",
+    "ax.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0., title=\"Day\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7fc0e3d43518>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fc0e3b7dcc0>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fc0e22c78d0>],\n",
+       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7fc0e88a8e10>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fc0e8ac3a20>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fc0e83951d0>],\n",
+       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7fc0e89f6898>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fc0e8af7208>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fc0e87bf8d0>],\n",
+       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7fc0e84cb550>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fc0e8466be0>,\n",
+       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7fc10f0ac278>]], dtype=object)"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX0AAAEGCAYAAACJnEVTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e3bf4908>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "all_starts.start_time.hist(by=all_starts.icma_number)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAc0AAAEKCAYAAABwqA4RAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e8429be0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in range(6):\n",
+    "    plt.hist(all_starts[all_starts.icma_number==i]['start_time'].reset_index(drop=True), \n",
+    "             bins=24,\n",
+    "             alpha=0.6, \n",
+    "             label=\"Day {}\".format(i))\n",
+    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
+    "plt.title(\"All starts\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0e8c5b390>"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEACAYAAAC9Gb03AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAFS9JREFUeJzt3X2sHGd1x/HfSdwk5s0OCHwFptmWVoFWohZ9IRQqhoIK\npGoDFRGBqo0BIYh4LVIVwz/un6RS2qSiKWoJXIN4KSEqiSqqRDR+qKgUXgomgQSbihrjpL6hLUFA\nERT79I+dzYx977Xv7Ozuc+bZ70da+c7cmd2fj/eeOz67M2vuLgBAuc7LHQAAMF80egAoHI0eAApH\noweAwtHoAaBwNHoAKNw5G72Z3Wxma2Z2T2vdxWZ2p5kdNrM7zGxH63t/ZWbfMLNDZrZnXsEBAFuz\nlSP6D0h68Rnr9kn6tLtfKukuSe+UJDN7qaSnufsvSnqDpPfOMCsAYArnbPTu/llJ3z1j9RWSDtRf\nH6iXJ+s/WO/3OUk7zGzXbKICAKYx7Yz+Se6+JknufkLSk+r1T5H07dZ2D9TrAACZzPrFWNtgHddY\nAICMtk2535qZ7XL3NTNbkfRQvf64pKe2ttst6cGN7sDM+AUAAFNw940Oqje11SN60+lH67dL2lt/\nvVfSba31fyxJZnaZpIcnI56NuDs3d+3fvz97hig3akEtqMXZb9M45xG9mX1EUiXpCWZ2TNJ+Se+W\ndIuZvVbSMUlX1o37U2Z2uZn9u6QfSnrNVKmWzNGjR3NHCINaNKhFg1r0c85G7+6v3uRbL9pk+zdv\n9cFvuOGGrW4qM9PVV1+tnTt3bnkfAMD0M/qZuPbaox22/mddcMEFuuaaa+YVJ5u9e/fmjhAGtWhQ\niwa16Memnfn0fmAz7/KGnO3br9H11z+zyEYPAFtlZvI5vRiLOUop5Y4QBrVoUIsGteiHRg8AhWN0\nAwADwugGALAOjT4A5o8NatGgFg1q0Q+NHgAKx4weAAaEGT0AYB0afQDMHxvUokEtGtSiHxo9ABSO\nGT0ADAgzegDAOjT6AJg/NqhFg1o0qEU/NHoAKBwzegAYEGb0AIB1aPQBMH9sUIsGtWhQi35o9ABQ\nOGb0ADAgzOgBAOvQ6ANg/tigFg1q0aAW/dDoAaBwzOgBYECY0QMA1qHRB8D8sUEtGtSiQS36odED\nQOGY0QPAgDCjBwCsQ6MPgPljg1o0qEWDWvRDoweAwjGjB4ABYUYPAFiHRh8A88cGtWhQiwa16IdG\nDwCF69XozexPzOyrZnaPmX3YzC4ws5GZ3W1mh83so2a2bVZhS1VVVe4IYVCLBrVoUIt+pm70ZvZk\nSW+R9Cx3f6akbZJeJek6Sde7+6WSHpb0ulkEBQBMp+/o5nxJj66P2rdLelDSCyTdWn//gKSX93yM\n4jF/bFCLBrVoUIt+pm707v6gpOslHZP0gKTvSfqSpIfd/VS92XFJT+4bEgAwvann52a2U9IVki7R\nuMnfIumlG2x6ljfL75U0qr/eKWmPpKpeTvWf4+WTJx/QkSMXPbLn5Df8ZHY35OWqqkLlYTnO8kSU\nPLmWJ+ui5FnkckpJq6urkqTRaKRpTH3ClJm9QtKL3f319fIfSXqOpFdIWnH3U2Z2maT97r7uFwAn\nTAFAd4s+YeqYpMvM7CIzM0kvlPQ1SQclXVlvc7Wk23o8xlI48+htmVGLBrVoUIt++szoPy/pE5K+\nLOkrkkzS30raJ+kdZnZE0uMl3TyDnACAKXGtGwAYEK51AwBYh0YfAPPHBrVoUIsGteiHRg8AhWNG\nDwADwoweALAOjT4A5o8NatGgFg1q0Q+NHgAKx4weAAaEGT0AYB0afQDMHxvUokEtGtSiHxo9ABSO\nGT0ADAgzegDAOjT6AJg/Ns5Wi5WVkcys021lZbSw7LPG86JBLfqZ+qMEgUVbW/uWuoz7xvt0+h8u\nUCRm9BiM8QeZdX2+mnI9x4F5YEYPAFiHRh8A88cGtWhQiwa16IdGDwCFY0aPwWBGDzCjBwBsgEYf\nAPPHBrVoUIsGteiHRg8AhWNGj8FgRg8wo0dGXS9PMORLEwBDQ6MPoIT5Y3N5gq3dxtuvV0ItZoVa\nNKhFPzR6ACgcM3rMRPf5effZOTN6gBk9AGADNPoAmD82qEWDWjSoRT80egAoHDN6zAQzemAxmNED\nANah0QfA/LFBLRrUokEt+qHRA0DhejV6M9thZreY2f1m9jUze7aZXWxmd5rZYTO7w8x2zCpsqaqq\nyh0hDGrRoBYNatFP3yP6GyV9yt2fIelXJH1d0j5Jn3b3SyXdJemdPR8DANDD1I3ezB4r6bfc/QOS\n5O4/dffvSbpC0oF6swOSXtY7ZeGYPzaoRYNaNKhFP9t67Pvzkv7LzD6g8dH8FyW9XdIud1+TJHc/\nYWZP7B8T5bmwfrvk8lpZGW16cbeN7Np1iU6cODq/QChWn9HNNknPkvTX7v4sST/UeGzDm5Y7Ws75\n44/V5WqXJT6tZnXFz2WwnD8js9PniP64pG+7+xfr5Vs1bvRrZrbL3dfMbEXSQ5vfxV5Jo/rrnZL2\nSKrq5VT/OV4+efIBHTly0SN7Tv4rN3kCsDy75a5Hmo2kzf791i933X6yrHN8f+PtI9W3vVza34fl\n2S+nlLS6uipJGo1GmkavM2PN7DOSXu/uR8xsv6RH1d/6H3e/zsyulXSxu+/bYF/OjK2llEIdsUx7\nBmrXM2M33j7p9F8GfR5jvE/UM2PPXeek02sR9+8yb9F+RnKa5szYPkf0kvRWSR82s5+R9E1Jr5F0\nvqSPm9lrJR2TdGXPxwAWapr/0TA/R2Rc6wbr5D2in/0+Ua+ps4jrA6E8OY7ogeB4dw/AJRACWP/C\n3DJLM76/Ib+7J+UOEAY/I/3Q6AGgcDT6AHg3QVuVO0AgVe4AYfAz0g+NHgAKR6MPgPljW8odIJB0\nxvL4heUut5WVUYbcs8fPSD+86wYYjMkLy1u3tsY7jkCjD4H5Y1uVO0AgVe4Ac8WJaYtDoweQRXNR\nty778D+UaTCjD4D5Y1vKHSCQlDtAICl3gEGj0QNA4Wj0ATCjb6tyBwikyh0gkCp3gEGj0QM4zcrK\naGnfxlkqGn0AzOjbUu4AgaQsj9r1k68W8+lXac73XzYaPQAUjkYfADP6tip3gECq3AECqXIHGDQa\nPYAB6XYZCF47GKPRB8CMvi3lDhBIyh0gkFT/2e3zBeb/2sEw0OiBonW/ENqyK/FdR1wCIQBm9G1V\n7gCBVDO4j+4XQht/Nm801cIeqcRLM9DogZngs2kRF6ObAJjRt6XcAaY0j8+mTfMIOlApd4BBo9ED\nQOFo9AEwo2+rcgcIpModIJAqd4BBo9EDQOFo9AEwo29LuQMEknIHCCTlDjBoNHoAKByNPgBm9G1V\n7gCBVLkDBFLlDjBoNHoAKByNPgBm9G0pd4BAUu4AHcz7UgtpHqGXBmfGApiBUi61UCaO6ANgRt9W\n5Q4QSJU7QCBV7gCDRqMHgMLR6ANgRt+WcgcIJOUOEEjKHWDQmNEDKBhXFZVo9CEwo2+rcgcIpMod\nIJBqyv14kViawejGzM4zsy+Z2e318sjM7jazw2b2UTPjlwkAZDSLGf3bJN3XWr5O0vXufqmkhyW9\nbgaPUTRm9G0pd4BAUu4AgaTcAQatV6M3s92SLpf0vtbq35Z0a/31AUkv7/MYAIB++h7R/6WkP1U9\nBDOzJ0j6rrufqr9/XNKTez5G8ZjRt1W5AwRS5Q4QSJU7wKBN3ejN7Hclrbn7ITWvXpjWv5LR9ZUQ\nAMAM9Xmh9LmSft/MLpe0XdJjJd0gaYeZnVcf1e+W9ODmd7FX0qj+eqekPWp+c6f6z/HyyZMP6MiR\nix7ZczLXnhwND3m5PaOf9f1fddXe+lPtu5pkqra4PFnXd/vJNpvt3zVf1+2nXZ6s67r/2fIdkvT2\nDtt3vf9ZLk/Wdd1/q/lu0Lg/bHX7rvffd3n8Mzev/rC6uipJGo1Gmoq7975Jer6k2+uv/17SK+uv\n/0bSGzfZxyXf8m379jf6TTfd5CU6ePDg3O67a53Ht0Xss9n2BzPnirTPmbWIkivHPgenfJzF/V0W\npX4sdbnN48zYfZLeYWZHJD1e0s1zeIyiMKNvq3IHCKTKHSCQKneAQZvJe9zd/TOSPlN//R+Snj2L\n+wUA9Me1bgLgffRtKXeAQFLuAIGk3AEGjUYPAIWj0QfAjL6tyh0gkCp3gECq3AEGjUYPAIWj0QfA\njL4t5Q4QSModIJCUO8Cg0egBoHA0+gCY0bdVuQMEUuUOEEiVO8Cg0egBoHA0+gCY0bel3AECSbkD\nBJJyBxg0Gj0AFI5GHwAz+rYqd4BAqtwBAqlyBxg0Gj0AFI5GHwAz+raUO0AgKXeAQFLuAINGoweA\nwtHoA2BG31blDhBIlTtAIFXuAINGoweAwtHoA9jqjH5lZSQz63QbnpQ7QCApd4BAUu4AgzaTT5jC\nYow/5Ns77jXEZg9gljiiD4AZfVuVO0AgVe4AgVS5AwwajR4ACkejD4D30bel3AECSbkDBJJyBxg0\nGj0AFI5GHwAz+rYqd4BAqtwBAqlyBxg0Gj0AFI5GHwAz+raUO0AgKXeAQFLuAINGoweAwtHoA2BG\n31blDhBIlTtAIFXuAINGoweAwtHoA2BG35ZyBwgk5Q4QSModYNBo9ABQOBp9AMzo26rcAQKpcgcI\npModYNBo9ABQOBp9AMzo21LuAIGk3AECSbkDDBqNHgAKR6MPgBl9W5U7QCBV7gCBVLkDDBqNHgAK\nN3WjN7PdZnaXmd1nZvea2Vvr9Reb2Z1mdtjM7jCzHbMKe+21+zt/ZurKymhWDz83zOjbUu4AgaTc\nAQJJuQMMWp8j+p9Keoe7/5Kk50h6k5k9XdI+SZ9290sl3SXpnf1jjn3/+9/R+DNTt34bf84qACwv\nc+/6YdOb3JHZJyW9p749393XzGxFUnL3p2+wvXf5oOvt26/Rj370Xk3z4diz+jvmZmaa7sPBI+4T\nNVfkfaLmirzP4nItqs+Ymdzduuwzkxm9mY0k7ZF0t6Rd7r4mSe5+QtITZ/EYAIDpbOt7B2b2GEmf\nkPQ2d//B+Eh9q/ZKGtVf79T4d0VVL6f6z/HyyZMPnLHv6d/ffPnC+kh463btukQf+9jq+N7qd8RM\n5ujzWG7P6M+1fWOyXJ1juev20y5P1vXdfrLNZvvrjOVzPV7X7addnqzruv/Z8h2S9PYO23e9/1ku\nT9Z13X+r+W7QuD9sdfuu9993efwzOq/+sLq6KkkajUaaRq/RjZltk/SPkv7J3W+s190vqWqNbg66\n+zM22Hdho5vI/w2TTn+CnM1yjG6SNn8rXdS/y7z2STq9FlFy5dgnaVwLRjc5Rjfvl3TfpMnXbtf4\nUF2SrpZ0W8/HKB7vo2+rcgcIpModIJAqd4BBm3p0Y2bPlfSHku41sy9r/CvwXZKuk/RxM3utpGOS\nrpxFUADAdKZu9O7+r5LO3+TbL5r2fpfRVkc3yyGJo7eJJGoxkUQtpseZsQBQuJm9j77zA/NibGfL\n8WIs++R9jNL24cVYiSN6ACgejT4ArnXTlnIHCCTlDhBIyh1g0Gj0AFA4ZvSb7MOMvpzZaTn7RM0V\neR9m9BJH9ABQPBp9AMzo21LuAIGk3AECSbkDDBqNHgAKx4x+k32Y0ZczOy1nn6i5Iu/DjF7iiB4A\nikejD4AZfVvKHSCQlDtAICl3gEGj0QNA4ZjRb7IPM/pyZqfl7BM1V+R9mNFLHNEDQPFo9AEwo29L\nuQMEknIHCCTlDjBoNHoAKBwz+k32YUZfzuy0nH2i5oq8DzN6iSN6ACgejT4AZvRtKXeAQFLuAIGk\n3AEGjUYPAIVjRr/JPszoy5mdlrNP1FyR92FGL3FEDwDFo9EHwIy+LeUOEEjKHSCQlDvAoNHoN3Sh\nzGzLt5WVUe7AALApZvQz2Wcx8zlm9Mu+T9RckfdhRi9xRA8AxaPRB8CMvi3lDhBIyh0gkJQ7wKDR\n6AGgcNtyByjDhfX8fOvOO+9ROnXqf+eUZ8iq3AECqXIHCKTKHWDQaPQz8WN1ffHm1KlpXyQCgG4Y\n3YSQcgcIJOUOEEjKHSCQlDvAoNHoAaBwNPoQqtwBAqlyBwikyh0gkCp3gEGj0QNA4ebS6M3sJWb2\ndTM7YmbXzuMxypJyBwgk5Q4QSModIJCUO8CgzbzRm9l5kt4j6cWSflnSq8zs6bN+nLIcyh0gEGrR\noBYNatHHPI7of0PSN9z9W+7+f5I+JumKOTxOQR7OHSAQatGgFg1q0cc8Gv1TJH27tXy8XgcAyGAe\nJ0xtdFbPhmcGPe5xv7flO/3JT+6ZNs8AHM0dIJCjuQMEcjR3gECO5g4waDO/TLGZXSbpz9z9JfXy\nPknu7tedsV28z+oDgAHoepnieTT68yUdlvRCSf8p6fOSXuXu98/0gQAAWzLz0Y27nzSzN0u6U+PX\nAG6myQNAPtk+YQoAsBhZzozlhKqGmR01s6+Y2ZfN7PO58yySmd1sZmtmdk9r3cVmdqeZHTazO8xs\nR86Mi7JJLfab2XEz+1J9e0nOjItgZrvN7C4zu8/M7jWzt9brl+55sUEt3lKv7/y8WPgRfX1C1RGN\nZ/gPSvqCpKvc/esLDRKEmX1T0q+6+3dzZ1k0M3uepB9I+qC7P7Ned52k/3b3P68PAi529305cy7C\nJrXYL+n77v4XWcMtkJmtSFpx90Nm9hhJ/6bxeTiv0ZI9L85Si1eq4/MixxE9J1SdzrSk1xxy989K\nOvMX3BWSDtRfH5D0soWGymSTWkhL9iEE7n7C3Q/VX/9A0v2SdmsJnxeb1GJyTlL4DwfnhKrTuaQ7\nzOwLZvb63GECeJK7r0njJ7qkJ2bOk9ubzOyQmb1vGcYVbWY2krRH0t2Sdi3z86JVi8/Vqzo9L3I0\n+i2fULUkftPdf03S5Rr/4z0vdyCEcZOkp7n7HkknJC3TCOcxkj4h6W310ezS9ogNatH5eZGj0R+X\n9LOt5d0az+qXUn10Inf/jqR/0Hi0tczWzGyX9MiM8qHMebJx9+948yLa30n69Zx5FsXMtmnc2D7k\n7rfVq5fyebFRLaZ5XuRo9F+Q9AtmdomZXSDpKkm3Z8iRnZk9qv5tLTN7tKTfkfTVvKkWznT6//Ju\nl7S3/vpqSbeduUPBTqtF3dAm/kDL89x4v6T73P3G1rplfV6sq8U0z4ss76Ov3w50o5oTqt698BAB\nmNnPaXwU7xqfvPbhZaqFmX1E448OeoKkNUn7JX1S0i2SnirpmKQr3b34SxduUosXaDyXPaXxxV7e\nMJlTl8rMnivpXyTdq/HPhUt6l8Zn2H9cS/S8OEstXq2OzwtOmAKAwi3l2/oAYJnQ6AGgcDR6ACgc\njR4ACkejB4DC0egBoHA0egAoHI0eAAr3/ywQ+dLQtxjIAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e8572048>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "all_starts.start_time.hist(bins=24)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEACAYAAACj0I2EAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nM+sJF3Qzs55wQTcz6wkXdDOznvj/adsOijP4mlAAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e8715f60>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "all_starts[all_starts.icma_number > 0].start_time.hist(bins=24)\n",
+    "plt.savefig('all-starts-hours.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAc0AAAEKCAYAAABwqA4RAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nKSIi4pGSpoiIiEf/HylqjZ5OVc+SAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e86dc7b8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in range(1, 6):\n",
+    "    plt.hist(all_starts[all_starts.icma_number==i]['start_time'].reset_index(drop=True), \n",
+    "             alpha=0.6, label=\"Day {}\".format(i), bins=24)\n",
+    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
+    "plt.title(\"All starts\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdQAAAEKCAYAAACrE6QzAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nqQD4/7i+CJVi6El0AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e213ca90>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in range(1, 11):\n",
+    "    plt.hist(all_starts[all_starts.icma_number==i]['start_time'].reset_index(drop=True), \n",
+    "             alpha=0.6, label=\"Day {}\".format(i), bins=24)\n",
+    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
+    "plt.title(\"All starts\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>icma_number</th>\n",
+       "      <th>start_time</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>9</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>9</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>9</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>9</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>9</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>9</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>9</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>9</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>9</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   icma_number  start_time\n",
+       "0            9          10\n",
+       "1            9          11\n",
+       "2            9          12\n",
+       "3            9          11\n",
+       "4            9          12\n",
+       "5            9          12\n",
+       "6            9          12\n",
+       "7            9          12\n",
+       "8            9          14\n",
+       "9            9          16"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "completed_starts = pd.DataFrame([{'icma_number': r['icma_number'], 'start_time': r['started'].hour}\n",
+    "              for r in icmas.find({'completed': {'$exists': True}}, ['icma_number', 'started'])])\n",
+    "completed_starts[:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0e85dd748>"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEACAYAAACj0I2EAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n6qMgAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e203fcc0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "completed_starts.start_time.hist(bins=24)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0e22b5748>"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEACAYAAACj0I2EAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQPzANVQRfwAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e8517710>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "completed_starts[completed_starts.icma_number > 0].start_time.hist(bins=24)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAc0AAAEKCAYAAABwqA4RAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e839c710>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in range(6):\n",
+    "    plt.hist(completed_starts[completed_starts.icma_number==i]['start_time'].reset_index(drop=True), \n",
+    "             alpha=0.6, label=\"Day {}\".format(i), bins=24)\n",
+    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
+    "plt.title(\"Completed starts\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAc0AAAEKCAYAAABwqA4RAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e8a7dbe0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in range(1, 6):\n",
+    "    plt.hist(completed_starts[completed_starts.icma_number==i]['start_time'].reset_index(drop=True), \n",
+    "             alpha=0.6, label=\"Day {}\".format(i), bins=24)\n",
+    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
+    "plt.title(\"Completed starts\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdQAAAEKCAYAAACrE6QzAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nIUwgCVUIIYQwwf8HSiJdSt5VHD0AAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e223c160>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in range(11):\n",
+    "    plt.hist(completed_starts[completed_starts.icma_number==i]['start_time'].reset_index(drop=True), \n",
+    "             alpha=0.6, label=\"Day {}\".format(i), bins=24)\n",
+    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
+    "plt.title(\"Completed starts\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdQAAAEKCAYAAACrE6QzAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nFcOQAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e1c759e8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in range(1, 11):\n",
+    "    plt.hist(completed_starts[completed_starts.icma_number==i]['start_time'].reset_index(drop=True), \n",
+    "             alpha=0.6, label=\"Day {}\".format(i), bins=24)\n",
+    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
+    "plt.title(\"Completed starts\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7fc0e202f630>"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e21a5fd0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3kAAAEQCAYAAAANlL1uAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nbKBvAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e21b65c0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "completed_starts_x = pd.crosstab(completed_starts.start_time, completed_starts.icma_number)\n",
+    "\n",
+    "fig = plt.figure()\n",
+    "fig, ax = plt.subplots(1, 2, figsize=(14, 4));\n",
+    "plt.subplots_adjust(wspace=0.5, hspace=0.5);\n",
+    "\n",
+    "ax = fig.add_subplot(1,2,2)\n",
+    "completed_starts_x.ix[:, completed_starts_x.columns != 0].plot(ax=ax, legend=False, sharex=False, sharey=False)\n",
+    "ax.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0., title=\"Day\")\n",
+    "\n",
+    "ax = fig.add_subplot(1,2,1)\n",
+    "completed_starts_x.plot(ax=ax, legend=False, sharex=False, sharey=False)\n",
+    "\n",
+    "ax.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0., title=\"Day\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7fc0e1b3eef0>"
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAcIAAAEQCAYAAAAj7nRhAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e1bb4ba8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "completed_starts_x_normalised = completed_starts_x / completed_starts_x.sum()\n",
+    "ax = completed_starts_x_normalised.ix[:, completed_starts_x_normalised.columns != 0].plot(legend=False)\n",
+    "ax.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0., title=\"Day\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>completed</th>\n",
+       "      <th>icma_number</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>15</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>13</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>17</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>9</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>21</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>12</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>14</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>15</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>15</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>15</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   completed  icma_number\n",
+       "0         15            9\n",
+       "1         13            9\n",
+       "2         17            9\n",
+       "3          9            9\n",
+       "4         21            9\n",
+       "5         12            9\n",
+       "6         14            9\n",
+       "7         15            9\n",
+       "8         15            9\n",
+       "9         15            9"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "completions = pd.DataFrame([{'icma_number': r['icma_number'], 'completed': r['completed'].hour}\n",
+    "              for r in icmas.find({'completed': {'$exists': True}}, ['icma_number', 'completed'])])\n",
+    "completions[:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0e859f2b0>"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEACAYAAACj0I2EAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQE/8P0x+Dx5n4mKPAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e1d75080>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "completions.completed.hist(bins=24)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEACAYAAACj0I2EAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nBjoAjMT/A3IgqwHyIB5OAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e1bfc7f0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "completions[completions.icma_number > 0].completed.hist(bins=24)\n",
+    "plt.savefig('completion-hours.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAc0AAAEKCAYAAABwqA4RAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nndjJAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e2219630>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in range(6):\n",
+    "    plt.hist(completions[completions.icma_number==i]['completed'].reset_index(drop=True), \n",
+    "             alpha=0.6, label=\"Day {}\".format(i), bins=24)\n",
+    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
+    "plt.title(\"Completions\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAc0AAAEKCAYAAABwqA4RAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRDxSaIqIiHik0BQREfHo/wPVZIEVnmA9LQAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e896ec18>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in range(1, 6):\n",
+    "    plt.hist(completions[completions.icma_number==i]['completed'].reset_index(drop=True), \n",
+    "             alpha=0.6, label=\"Day {}\".format(i), bins=24)\n",
+    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
+    "plt.title(\"Completions\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdQAAAEKCAYAAACrE6QzAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQghhAkmoQgghhAn+Hzcx4o4peX3tAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e8361908>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in range(11):\n",
+    "    plt.hist(completions[completions.icma_number==i]['completed'].reset_index(drop=True), \n",
+    "             alpha=0.6, label=\"Day {}\".format(i), bins=24)\n",
+    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
+    "plt.title(\"Completions\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdQAAAEKCAYAAACrE6QzAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nByihioiIOEAJVURExAH/D4kODBcOXwF3AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e1eddfd0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in range(1, 11):\n",
+    "    plt.hist(completions[completions.icma_number==i]['completed'].reset_index(drop=True), \n",
+    "             alpha=0.6, label=\"Day {}\".format(i), bins=24)\n",
+    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
+    "plt.title(\"Completions\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7fc0e1b635f8>"
+      ]
+     },
+     "execution_count": 70,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e1e514e0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3kAAAEPCAYAAAD/FA0gAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEolEIpE8QfwfAt9bfzzNZcsAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e1dcae80>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "completions_x = pd.crosstab(completions.completed, completions.icma_number)\n",
+    "\n",
+    "fig = plt.figure()\n",
+    "fig, ax = plt.subplots(1, 2, figsize=(14, 4));\n",
+    "plt.subplots_adjust(wspace=0.5, hspace=0.5);\n",
+    "\n",
+    "ax = fig.add_subplot(1,2,2)\n",
+    "completions_x.ix[:, completions_x.columns != 0].plot(ax=ax, legend=False, sharex=False, sharey=False)\n",
+    "ax.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0., title=\"Day\")\n",
+    "\n",
+    "ax = fig.add_subplot(1,2,1)\n",
+    "completions_x.plot(ax=ax, legend=False, sharex=False, sharey=False)\n",
+    "\n",
+    "ax.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0., title=\"Day\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7fc0e1ed6e48>"
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAcIAAAEPCAYAAADRbsQvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkdINAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e2080b38>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "completions_x_normalised = completions_x / completions_x.sum()\n",
+    "ax = completions_x_normalised.ix[:, completions_x_normalised.columns != 0].plot(legend=False)\n",
+    "ax.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0., title=\"Day\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Delayed days of starting and finishing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{0: datetime.datetime(2017, 6, 2, 0, 0),\n",
+       " 1: datetime.datetime(2017, 7, 17, 0, 0),\n",
+       " 2: datetime.datetime(2017, 7, 18, 0, 0),\n",
+       " 3: datetime.datetime(2017, 7, 19, 0, 0),\n",
+       " 4: datetime.datetime(2017, 7, 20, 0, 0),\n",
+       " 5: datetime.datetime(2017, 7, 21, 0, 0),\n",
+       " 6: datetime.datetime(2017, 7, 24, 0, 0),\n",
+       " 7: datetime.datetime(2017, 7, 25, 0, 0),\n",
+       " 8: datetime.datetime(2017, 7, 26, 0, 0),\n",
+       " 9: datetime.datetime(2017, 7, 27, 0, 0),\n",
+       " 10: datetime.datetime(2017, 7, 28, 0, 0)}"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "start_days = {}\n",
+    "for i in icmas.find({}).distinct('icma_number'):\n",
+    "    earliest = icmas.find_one({'icma_number': i}, sort=[(\"started\", 1)])[\"started\"]\n",
+    "    start_days[i] = earliest.replace(day=earliest.day, hour=0, minute=0, second=0)\n",
+    "start_days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{0: Counter({0: 13,\n",
+       "          1: 3,\n",
+       "          2: 5,\n",
+       "          3: 5,\n",
+       "          4: 9,\n",
+       "          5: 8,\n",
+       "          6: 23,\n",
+       "          7: 20,\n",
+       "          8: 10,\n",
+       "          9: 4,\n",
+       "          10: 10,\n",
+       "          11: 12,\n",
+       "          12: 6,\n",
+       "          13: 6,\n",
+       "          14: 3,\n",
+       "          15: 3,\n",
+       "          16: 3,\n",
+       "          17: 10,\n",
+       "          18: 5,\n",
+       "          19: 2,\n",
+       "          20: 7,\n",
+       "          21: 2,\n",
+       "          22: 4,\n",
+       "          23: 2,\n",
+       "          24: 3,\n",
+       "          25: 5,\n",
+       "          26: 5,\n",
+       "          27: 3,\n",
+       "          28: 2,\n",
+       "          29: 2,\n",
+       "          30: 1,\n",
+       "          31: 1,\n",
+       "          32: 5,\n",
+       "          33: 3,\n",
+       "          34: 2,\n",
+       "          35: 3,\n",
+       "          37: 2,\n",
+       "          38: 5,\n",
+       "          39: 2,\n",
+       "          40: 2,\n",
+       "          41: 13,\n",
+       "          42: 9,\n",
+       "          43: 4,\n",
+       "          44: 2,\n",
+       "          45: 18,\n",
+       "          46: 6,\n",
+       "          47: 4,\n",
+       "          48: 4,\n",
+       "          49: 2,\n",
+       "          50: 4,\n",
+       "          51: 1,\n",
+       "          52: 1,\n",
+       "          53: 2,\n",
+       "          59: 1}),\n",
+       " 1: Counter({0: 86,\n",
+       "          1: 19,\n",
+       "          2: 13,\n",
+       "          3: 9,\n",
+       "          4: 7,\n",
+       "          5: 5,\n",
+       "          6: 2,\n",
+       "          7: 5,\n",
+       "          8: 1,\n",
+       "          9: 3,\n",
+       "          10: 1,\n",
+       "          12: 1}),\n",
+       " 2: Counter({0: 62, 1: 11, 2: 11, 3: 7, 4: 2, 5: 1, 6: 3, 7: 2, 8: 2, 13: 1}),\n",
+       " 3: Counter({0: 58, 1: 12, 2: 5, 3: 5, 5: 1, 6: 3, 7: 2, 8: 1}),\n",
+       " 4: Counter({0: 73, 1: 5, 2: 2, 3: 5, 4: 8, 5: 1, 7: 1, 8: 1}),\n",
+       " 5: Counter({0: 56, 1: 4, 2: 3, 3: 4, 4: 2, 5: 2, 6: 2, 7: 1, 8: 1, 10: 1}),\n",
+       " 6: Counter({0: 79, 1: 9, 2: 2, 3: 2, 4: 2, 5: 3, 6: 1, 7: 1}),\n",
+       " 7: Counter({0: 47, 1: 1, 3: 1, 4: 2, 5: 2}),\n",
+       " 8: Counter({0: 48, 1: 2, 2: 5, 3: 2, 4: 3}),\n",
+       " 9: Counter({0: 34, 1: 3, 2: 2, 3: 2}),\n",
+       " 10: Counter({0: 52, 1: 7, 2: 1})}"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "start_delays_dict = {}\n",
+    "for i in icmas.find({}).distinct('icma_number'):\n",
+    "    attempts = [(a['started'] - start_days[i]).days for a in icmas.find({'icma_number': i}, ['started'])]\n",
+    "    start_delays_dict[i] = collections.Counter(attempts)\n",
+    "start_delays_dict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <th>4</th>\n",
+       "      <th>5</th>\n",
+       "      <th>6</th>\n",
+       "      <th>7</th>\n",
+       "      <th>8</th>\n",
+       "      <th>9</th>\n",
+       "      <th>...</th>\n",
+       "      <th>45</th>\n",
+       "      <th>46</th>\n",
+       "      <th>47</th>\n",
+       "      <th>48</th>\n",
+       "      <th>49</th>\n",
+       "      <th>50</th>\n",
+       "      <th>51</th>\n",
+       "      <th>52</th>\n",
+       "      <th>53</th>\n",
+       "      <th>59</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>13.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>86.0</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>62.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>58.0</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>73.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>56.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>79.0</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>47.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>48.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>34.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>52.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>11 rows Ã— 54 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      0     1     2    3    4    5     6     7     8    9  ...     45   46  \\\n",
+       "0   13.0   3.0   5.0  5.0  9.0  8.0  23.0  20.0  10.0  4.0 ...   18.0  6.0   \n",
+       "1   86.0  19.0  13.0  9.0  7.0  5.0   2.0   5.0   1.0  3.0 ...    0.0  0.0   \n",
+       "2   62.0  11.0  11.0  7.0  2.0  1.0   3.0   2.0   2.0  0.0 ...    0.0  0.0   \n",
+       "3   58.0  12.0   5.0  5.0  0.0  1.0   3.0   2.0   1.0  0.0 ...    0.0  0.0   \n",
+       "4   73.0   5.0   2.0  5.0  8.0  1.0   0.0   1.0   1.0  0.0 ...    0.0  0.0   \n",
+       "5   56.0   4.0   3.0  4.0  2.0  2.0   2.0   1.0   1.0  0.0 ...    0.0  0.0   \n",
+       "6   79.0   9.0   2.0  2.0  2.0  3.0   1.0   1.0   0.0  0.0 ...    0.0  0.0   \n",
+       "7   47.0   1.0   0.0  1.0  2.0  2.0   0.0   0.0   0.0  0.0 ...    0.0  0.0   \n",
+       "8   48.0   2.0   5.0  2.0  3.0  0.0   0.0   0.0   0.0  0.0 ...    0.0  0.0   \n",
+       "9   34.0   3.0   2.0  2.0  0.0  0.0   0.0   0.0   0.0  0.0 ...    0.0  0.0   \n",
+       "10  52.0   7.0   1.0  0.0  0.0  0.0   0.0   0.0   0.0  0.0 ...    0.0  0.0   \n",
+       "\n",
+       "     47   48   49   50   51   52   53   59  \n",
+       "0   4.0  4.0  2.0  4.0  1.0  1.0  2.0  1.0  \n",
+       "1   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
+       "2   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
+       "3   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
+       "4   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
+       "5   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
+       "6   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
+       "7   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
+       "8   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
+       "9   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
+       "10  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
+       "\n",
+       "[11 rows x 54 columns]"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "start_delays = pd.DataFrame(start_delays_dict).T.fillna(0)\n",
+    "start_delays"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <th>4</th>\n",
+       "      <th>5</th>\n",
+       "      <th>6</th>\n",
+       "      <th>7</th>\n",
+       "      <th>8</th>\n",
+       "      <th>9</th>\n",
+       "      <th>10</th>\n",
+       "      <th>11</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>86.0</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>62.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>58.0</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>73.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>56.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>79.0</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>47.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>48.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>34.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>52.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      0     1     2    3    4    5    6    7    8    9    10   11\n",
+       "1   86.0  19.0  13.0  9.0  7.0  5.0  2.0  5.0  1.0  3.0  1.0  0.0\n",
+       "2   62.0  11.0  11.0  7.0  2.0  1.0  3.0  2.0  2.0  0.0  0.0  0.0\n",
+       "3   58.0  12.0   5.0  5.0  0.0  1.0  3.0  2.0  1.0  0.0  0.0  0.0\n",
+       "4   73.0   5.0   2.0  5.0  8.0  1.0  0.0  1.0  1.0  0.0  0.0  0.0\n",
+       "5   56.0   4.0   3.0  4.0  2.0  2.0  2.0  1.0  1.0  0.0  1.0  0.0\n",
+       "6   79.0   9.0   2.0  2.0  2.0  3.0  1.0  1.0  0.0  0.0  0.0  0.0\n",
+       "7   47.0   1.0   0.0  1.0  2.0  2.0  0.0  0.0  0.0  0.0  0.0  0.0\n",
+       "8   48.0   2.0   5.0  2.0  3.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0\n",
+       "9   34.0   3.0   2.0  2.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0\n",
+       "10  52.0   7.0   1.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "start_delays.iloc[1:, :12]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0e8960ba8>"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW0AAAEACAYAAAB4ayemAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e2313eb8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "start_delays.iloc[1:, :12].T.plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{0: Counter({0: 1,\n",
+       "          1: 1,\n",
+       "          2: 3,\n",
+       "          3: 1,\n",
+       "          4: 1,\n",
+       "          5: 1,\n",
+       "          6: 9,\n",
+       "          7: 10,\n",
+       "          8: 8,\n",
+       "          9: 4,\n",
+       "          10: 6,\n",
+       "          11: 3,\n",
+       "          12: 4,\n",
+       "          13: 2,\n",
+       "          14: 2,\n",
+       "          15: 1,\n",
+       "          17: 6,\n",
+       "          20: 4,\n",
+       "          22: 1,\n",
+       "          24: 2,\n",
+       "          26: 2,\n",
+       "          28: 1,\n",
+       "          32: 2,\n",
+       "          38: 1,\n",
+       "          39: 1,\n",
+       "          40: 1,\n",
+       "          41: 5,\n",
+       "          42: 3,\n",
+       "          43: 2,\n",
+       "          44: 2,\n",
+       "          45: 10,\n",
+       "          46: 1,\n",
+       "          47: 1,\n",
+       "          48: 2,\n",
+       "          49: 2,\n",
+       "          50: 4,\n",
+       "          51: 1,\n",
+       "          52: 2}),\n",
+       " 1: Counter({0: 60, 1: 12, 2: 5, 3: 4, 4: 7, 5: 2, 7: 2, 8: 1, 14: 1}),\n",
+       " 2: Counter({0: 49, 1: 12, 2: 9, 3: 5, 4: 1, 5: 1, 6: 2, 7: 2}),\n",
+       " 3: Counter({0: 44, 1: 4, 2: 4, 3: 2, 4: 2, 5: 1, 6: 3, 7: 1, 10: 1, 12: 1}),\n",
+       " 4: Counter({0: 48, 1: 6, 2: 1, 3: 4, 4: 3, 5: 2, 6: 1, 7: 2, 11: 1}),\n",
+       " 5: Counter({0: 36, 1: 2, 2: 1, 3: 3, 4: 5, 5: 2, 6: 3, 8: 2, 10: 2}),\n",
+       " 6: Counter({0: 59, 1: 9, 2: 2, 5: 3, 6: 2, 7: 2}),\n",
+       " 7: Counter({0: 31, 1: 4, 4: 1, 6: 1}),\n",
+       " 8: Counter({0: 26, 1: 1, 2: 6, 3: 1, 4: 2, 5: 1}),\n",
+       " 9: Counter({0: 23, 1: 4, 2: 1, 3: 1, 4: 1}),\n",
+       " 10: Counter({0: 35, 1: 9, 2: 2})}"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "completion_delays_dict = {}\n",
+    "for i in icmas.find({}).distinct('icma_number'):\n",
+    "    attempts = [(a['completed'] - start_days[i]).days for a in icmas.find(\n",
+    "        {'icma_number': i, 'completed': {'$exists': True}}, ['completed'])]\n",
+    "    completion_delays_dict[i] = collections.Counter(attempts)\n",
+    "completion_delays_dict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <th>4</th>\n",
+       "      <th>5</th>\n",
+       "      <th>6</th>\n",
+       "      <th>7</th>\n",
+       "      <th>8</th>\n",
+       "      <th>9</th>\n",
+       "      <th>...</th>\n",
+       "      <th>43</th>\n",
+       "      <th>44</th>\n",
+       "      <th>45</th>\n",
+       "      <th>46</th>\n",
+       "      <th>47</th>\n",
+       "      <th>48</th>\n",
+       "      <th>49</th>\n",
+       "      <th>50</th>\n",
+       "      <th>51</th>\n",
+       "      <th>52</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "      <td>8</td>\n",
+       "      <td>4</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>60</td>\n",
+       "      <td>12</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>49</td>\n",
+       "      <td>12</td>\n",
+       "      <td>9</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>44</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>48</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>36</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>59</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>31</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>26</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>23</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>35</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>11 rows Ã— 38 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    0   1   2   3   4   5   6   7   8   9  ...  43  44  45  46  47  48  49  \\\n",
+       "0    1   1   3   1   1   1   9  10   8   4 ...   2   2  10   1   1   2   2   \n",
+       "1   60  12   5   4   7   2   0   2   1   0 ...   0   0   0   0   0   0   0   \n",
+       "2   49  12   9   5   1   1   2   2   0   0 ...   0   0   0   0   0   0   0   \n",
+       "3   44   4   4   2   2   1   3   1   0   0 ...   0   0   0   0   0   0   0   \n",
+       "4   48   6   1   4   3   2   1   2   0   0 ...   0   0   0   0   0   0   0   \n",
+       "5   36   2   1   3   5   2   3   0   2   0 ...   0   0   0   0   0   0   0   \n",
+       "6   59   9   2   0   0   3   2   2   0   0 ...   0   0   0   0   0   0   0   \n",
+       "7   31   4   0   0   1   0   1   0   0   0 ...   0   0   0   0   0   0   0   \n",
+       "8   26   1   6   1   2   1   0   0   0   0 ...   0   0   0   0   0   0   0   \n",
+       "9   23   4   1   1   1   0   0   0   0   0 ...   0   0   0   0   0   0   0   \n",
+       "10  35   9   2   0   0   0   0   0   0   0 ...   0   0   0   0   0   0   0   \n",
+       "\n",
+       "    50  51  52  \n",
+       "0    4   1   2  \n",
+       "1    0   0   0  \n",
+       "2    0   0   0  \n",
+       "3    0   0   0  \n",
+       "4    0   0   0  \n",
+       "5    0   0   0  \n",
+       "6    0   0   0  \n",
+       "7    0   0   0  \n",
+       "8    0   0   0  \n",
+       "9    0   0   0  \n",
+       "10   0   0   0  \n",
+       "\n",
+       "[11 rows x 38 columns]"
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "completion_delays = pd.DataFrame(completion_delays_dict).T.fillna(0).astype(int)\n",
+    "completion_delays"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "14"
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "longest_completion_delay = max(c for c in completion_delays.columns if completion_delays[c][1:].sum() >= 1)\n",
+    "longest_completion_delay"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>0</th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <th>4</th>\n",
+       "      <th>5</th>\n",
+       "      <th>6</th>\n",
+       "      <th>7</th>\n",
+       "      <th>8</th>\n",
+       "      <th>9</th>\n",
+       "      <th>10</th>\n",
+       "      <th>11</th>\n",
+       "      <th>12</th>\n",
+       "      <th>13</th>\n",
+       "      <th>14</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>60</td>\n",
+       "      <td>12</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>49</td>\n",
+       "      <td>12</td>\n",
+       "      <td>9</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>44</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>48</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>36</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>59</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>31</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>26</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>23</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>35</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    0   1   2   3   4   5   6   7   8   9   10  11  12  13  14\n",
+       "1   60  12   5   4   7   2   0   2   1   0   0   0   0   0   1\n",
+       "2   49  12   9   5   1   1   2   2   0   0   0   0   0   0   0\n",
+       "3   44   4   4   2   2   1   3   1   0   0   1   0   1   0   0\n",
+       "4   48   6   1   4   3   2   1   2   0   0   0   1   0   0   0\n",
+       "5   36   2   1   3   5   2   3   0   2   0   2   0   0   0   0\n",
+       "6   59   9   2   0   0   3   2   2   0   0   0   0   0   0   0\n",
+       "7   31   4   0   0   1   0   1   0   0   0   0   0   0   0   0\n",
+       "8   26   1   6   1   2   1   0   0   0   0   0   0   0   0   0\n",
+       "9   23   4   1   1   1   0   0   0   0   0   0   0   0   0   0\n",
+       "10  35   9   2   0   0   0   0   0   0   0   0   0   0   0   0"
+      ]
+     },
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "completion_delays.iloc[1:, :longest_completion_delay+1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0e852f048>"
+      ]
+     },
+     "execution_count": 81,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEACAYAAACj0I2EAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n968dsJP9kgAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e2136588>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "completion_delays.iloc[1:, :longest_completion_delay+1].T.plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# People attempting per day"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{0.0, 5.0, 10.0}"
+      ]
+     },
+     "execution_count": 82,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pipeline = [{'$match': {'grade': {'$ne': '-'}}},\n",
+    "            {'$project': {'grade': True}}]\n",
+    "set(r['grade'] for r in icmas.aggregate(pipeline))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "metadata": {
+    "collapsed": true,
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "pipeline = [{\"$group\": {\"_id\": {'icma_number': \"$icma_number\",\n",
+    "                                'grade': '$grade'},\n",
+    "                        \"participants\": {\"$addToSet\": '$Personal Identifier'}}}]\n",
+    "participant_grades = {(r['_id']['icma_number'], r['_id']['grade']): r['participants'] \n",
+    "                      for r in icmas.aggregate(pipeline)}\n",
+    "participant_grades;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(0, 10.0),\n",
+       " (0, 0.0),\n",
+       " (0, 5.0),\n",
+       " (0, '-'),\n",
+       " (1, 5.0),\n",
+       " (1, 10.0),\n",
+       " (1, '-'),\n",
+       " (1, 0.0),\n",
+       " (2, 5.0),\n",
+       " (2, '-'),\n",
+       " (2, 10.0),\n",
+       " (2, 0.0),\n",
+       " (3, 0.0),\n",
+       " (3, 10.0),\n",
+       " (3, 5.0),\n",
+       " (3, '-'),\n",
+       " (4, 0.0),\n",
+       " (4, '-'),\n",
+       " (4, 10.0),\n",
+       " (4, 5.0),\n",
+       " (5, '-'),\n",
+       " (5, 5.0),\n",
+       " (5, 0.0),\n",
+       " (5, 10.0),\n",
+       " (6, '-'),\n",
+       " (6, 10.0),\n",
+       " (6, 0.0),\n",
+       " (6, 5.0),\n",
+       " (7, 10.0),\n",
+       " (7, 0.0),\n",
+       " (7, '-'),\n",
+       " (7, 5.0),\n",
+       " (8, 0.0),\n",
+       " (8, '-'),\n",
+       " (8, 5.0),\n",
+       " (8, 10.0),\n",
+       " (9, 0.0),\n",
+       " (9, 10.0),\n",
+       " (9, '-'),\n",
+       " (9, 5.0),\n",
+       " (10, 0.0),\n",
+       " (10, '-'),\n",
+       " (10, 5.0),\n",
+       " (10, 10.0)]"
+      ]
+     },
+     "execution_count": 84,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sorted(participant_grades.keys(), key=lambda k: k[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "icma_numbers = sorted(set(k[0] for k in participant_grades))\n",
+    "best_grades_participants = {}\n",
+    "for icma in icma_numbers:\n",
+    "    prps = set()\n",
+    "    for grade in [10, 5, 0, '-']:\n",
+    "        pis = set(participant_grades.get((icma, grade), []))\n",
+    "        best_grades_participants[icma, grade] = pis - prps\n",
+    "        prps |= pis\n",
+    "best_grades_participants;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "pbgs = [{'pi': pi, 'icma': icma, 'grade': grade} \n",
+    "        for ((icma, grade), pis) in best_grades_participants.items() \n",
+    "        for pi in pis]\n",
+    "ps = set(p['pi'] for p in pbgs)\n",
+    "participant_best_grades = {pi: {p['icma']: p['grade'] \n",
+    "                                for p in pbgs\n",
+    "                                if p['pi'] == pi}\n",
+    "                           for pi in ps}\n",
+    "participant_best_grades;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "pbgs[:10];"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "def count_tasks(scores, exclude_intro=True):\n",
+    "    if exclude_intro:\n",
+    "        return sum(1 for i in scores if i > 0)\n",
+    "    else:\n",
+    "        return len(scores)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "def consecutive_tasks(scores, exclude_intro=True):\n",
+    "    count = 0\n",
+    "    if exclude_intro:\n",
+    "        task = 1\n",
+    "    else:\n",
+    "        task = 0\n",
+    "    while task in scores:\n",
+    "        count += 1\n",
+    "        task += 1\n",
+    "    return count        "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# for pi in participant_best_grades:\n",
+    "#     grades = participant_best_grades[pi]\n",
+    "#     print('{}, {} tasks, {} consecutive: {}'.format(pi, \n",
+    "#                                                     count_tasks(grades),\n",
+    "#                                                     consecutive_tasks(grades),\n",
+    "#                                                     grades))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "participation = {pi: \n",
+    "                 {'tasks': count_tasks(participant_best_grades[pi]),\n",
+    "                  'consecutive': consecutive_tasks(participant_best_grades[pi])}\n",
+    "    for pi in participant_best_grades\n",
+    "    if count_tasks(participant_best_grades[pi]) > 0\n",
+    "}\n",
+    "participation;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "participation_intro = {pi: \n",
+    "                 {'tasks': count_tasks(participant_best_grades[pi], exclude_intro=False),\n",
+    "                  'consecutive': consecutive_tasks(participant_best_grades[pi], exclude_intro=False)}\n",
+    "    for pi in participant_best_grades\n",
+    "    if count_tasks(participant_best_grades[pi]) > 0\n",
+    "}\n",
+    "participation_intro;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Counter({1: 51, 2: 12, 3: 11, 4: 4, 5: 8, 6: 5, 7: 5, 8: 4, 9: 5, 10: 33})"
+      ]
+     },
+     "execution_count": 93,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "collections.Counter(participation[pi]['tasks'] for pi in participation)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW0AAAEDCAYAAAD+/1UIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nPHyn6zIAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e19e3be0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pd.Series(collections.Counter(participation[pi]['tasks'] \n",
+    "                              for pi in participation)).plot(kind='bar');\n",
+    "collections.Counter(participation[pi]['tasks'] \n",
+    "                    for pi in participation)\n",
+    "plt.savefig('participated-in-days.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'<table border=\"1\" class=\"dataframe\">\\n  <thead>\\n    <tr style=\"text-align: right;\">\\n      <th></th>\\n      <th>1</th>\\n      <th>2</th>\\n      <th>3</th>\\n      <th>4</th>\\n      <th>5</th>\\n      <th>6</th>\\n      <th>7</th>\\n      <th>8</th>\\n      <th>9</th>\\n      <th>10</th>\\n    </tr>\\n  </thead>\\n  <tbody>\\n    <tr>\\n      <th>0</th>\\n      <td>51</td>\\n      <td>12</td>\\n      <td>11</td>\\n      <td>4</td>\\n      <td>8</td>\\n      <td>5</td>\\n      <td>5</td>\\n      <td>4</td>\\n      <td>5</td>\\n      <td>33</td>\\n    </tr>\\n  </tbody>\\n</table>'"
+      ]
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.Series(collections.Counter(participation[pi]['tasks'] \n",
+    "                    for pi in participation)).to_frame().T.to_html()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Counter({1: 26,\n",
+       "         2: 28,\n",
+       "         3: 12,\n",
+       "         4: 8,\n",
+       "         5: 4,\n",
+       "         6: 9,\n",
+       "         7: 4,\n",
+       "         8: 5,\n",
+       "         9: 4,\n",
+       "         10: 6,\n",
+       "         11: 32})"
+      ]
+     },
+     "execution_count": 96,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW0AAAEDCAYAAAD+/1UIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nsbQlqSGWtiQ15P8B1WfguW3WkfQAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e19e3ba8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pd.Series(collections.Counter(participation_intro[pi]['tasks'] \n",
+    "                              for pi in participation_intro)).plot(kind='bar');\n",
+    "collections.Counter(participation_intro[pi]['tasks'] \n",
+    "                    for pi in participation_intro)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Counter({0: 10, 1: 46, 2: 9, 3: 9, 4: 5, 5: 8, 6: 6, 7: 5, 8: 4, 9: 3, 10: 33})"
+      ]
+     },
+     "execution_count": 97,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW0AAAEDCAYAAAD+/1UIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e87482e8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pd.Series(collections.Counter(participation[pi]['consecutive'] \n",
+    "                              for pi in participation)).plot(kind='bar');\n",
+    "collections.Counter(participation[pi]['consecutive'] for pi in participation)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Counter({0: 34,\n",
+       "         1: 7,\n",
+       "         2: 22,\n",
+       "         3: 6,\n",
+       "         4: 7,\n",
+       "         5: 5,\n",
+       "         6: 8,\n",
+       "         7: 5,\n",
+       "         8: 5,\n",
+       "         9: 4,\n",
+       "         10: 3,\n",
+       "         11: 32})"
+      ]
+     },
+     "execution_count": 98,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW0AAAEDCAYAAAD+/1UIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e1b52c50>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pd.Series(collections.Counter(participation_intro[pi]['consecutive'] \n",
+    "                              for pi in participation_intro)).plot(kind='bar');\n",
+    "collections.Counter(participation_intro[pi]['consecutive'] for pi in participation_intro)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Midnight starters"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "pipeline = [\n",
+    "    {'$match': {'completed': {'$exists': True}}},\n",
+    "    {'$project': {'icma_number': True, 'Personal Identifier': True,\n",
+    "                  'hour': {'$hour': '$started'}}},\n",
+    "    {'$match': {'hour': 0}}] \n",
+    "midnight_completed_starts = pd.DataFrame(\n",
+    "   [{'icma_number': r['icma_number'], 'pi': r['Personal Identifier']} \n",
+    "    for r in icmas.aggregate(pipeline)\n",
+    "])\n",
+    "midnight_completed_starts_x = pd.crosstab(midnight_completed_starts.pi, midnight_completed_starts.icma_number)\n",
+    "midnight_completed_starts_x;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(26, 11)"
+      ]
+     },
+     "execution_count": 100,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "midnight_completed_starts_x.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "icma_number\n",
+       "0      2\n",
+       "1      5\n",
+       "2     10\n",
+       "3      6\n",
+       "4     10\n",
+       "5      9\n",
+       "6      7\n",
+       "7      9\n",
+       "8      4\n",
+       "9      7\n",
+       "10     9\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 101,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# How many attempts were started before 1.00am for each task?\n",
+    "midnight_completed_starts_x.sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'<table border=\"1\" class=\"dataframe\">\\n  <thead>\\n    <tr style=\"text-align: right;\">\\n      <th>icma_number</th>\\n      <th>0</th>\\n      <th>1</th>\\n      <th>2</th>\\n      <th>3</th>\\n      <th>4</th>\\n      <th>5</th>\\n      <th>6</th>\\n      <th>7</th>\\n      <th>8</th>\\n      <th>9</th>\\n      <th>10</th>\\n    </tr>\\n  </thead>\\n  <tbody>\\n    <tr>\\n      <th>0</th>\\n      <td>2</td>\\n      <td>5</td>\\n      <td>10</td>\\n      <td>6</td>\\n      <td>10</td>\\n      <td>9</td>\\n      <td>7</td>\\n      <td>9</td>\\n      <td>4</td>\\n      <td>7</td>\\n      <td>9</td>\\n    </tr>\\n  </tbody>\\n</table>'"
+      ]
+     },
+     "execution_count": 102,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# How many attempts were started before 1.00am for each task?\n",
+    "midnight_completed_starts_x.sum().to_frame().T.to_html()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0e1923208>"
+      ]
+     },
+     "execution_count": 103,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW0AAAETCAYAAAD9KVeTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nLAAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e1b789b0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "midnight_completed_starts_x.sum().plot(kind='bar')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 104,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "midnight_completed_starts_x.sum(axis=1);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0e1ed2048>"
+      ]
+     },
+     "execution_count": 105,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEACAYAAABF+UbAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n4ozWfedTmgAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e1969c50>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# How many people made this many midnight starts? \n",
+    "# e.g. 12 people did one mightnight start, 5 people did two, 2 people did nine\n",
+    "midnight_completed_starts_x.sum(axis=1).hist()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "# Get participant data\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 106,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "305"
+      ]
+     },
+     "execution_count": 106,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pis = icmas.distinct('Personal Identifier')\n",
+    "len(pis)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 107,
+   "metadata": {
+    "collapsed": true,
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "participant_df = pd.DataFrame([icmas.find_one({'Personal Identifier': pi}, \n",
+    "                                              ['First name', 'Surname', 'Email address', 'Personal Identifier']) \n",
+    "              for pi in icmas.distinct('Personal Identifier')])\n",
+    "participant_df = participant_df[['Email address', 'First name', 'Surname', 'Personal Identifier']]\n",
+    "participant_df;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 108,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# participant_df.to_csv('survey-email.csv', index=False, header=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 109,
+   "metadata": {
+    "collapsed": true,
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "pi1s = set([r['Personal Identifier'] for r in icmas.find({'icma_number': {'$ne': 0}})])\n",
+    "participant_1_df = pd.DataFrame([icmas.find_one({'Personal Identifier': pi}, \n",
+    "                                              ['First name', 'Surname', 'Email address', 'Personal Identifier']) \n",
+    "              for pi in pi1s])\n",
+    "participant_1_df = participant_1_df[['Email address', 'First name', 'Surname', 'Personal Identifier']]\n",
+    "participant_1_df;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# participant_1_df.to_csv('survey-email_1.csv', index=False, header=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "# Overall performance prizes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 111,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "pipeline = [\n",
+    "    {'$match': {'completed': {'$exists': True}, 'icma_number': {'$gt': 0}}},\n",
+    "    {'$match': {'completed': {'$lt': datetime(2017, 7, 31)}}},\n",
+    "    {\"$group\": {\"_id\": {'icma_number': \"$icma_number\",\n",
+    "                                'grade': '$grade'},\n",
+    "                        \"participants\": {\"$addToSet\": '$Personal Identifier'}}}]\n",
+    "july_grades = {(r['_id']['icma_number'], r['_id']['grade']): r['participants'] \n",
+    "                      for r in icmas.aggregate(pipeline)}\n",
+    "july_grades;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 112,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "icma_numbers = sorted(set(k[0] for k in july_grades))\n",
+    "best_grades_july = {}\n",
+    "for icma in icma_numbers:\n",
+    "    prps = set()\n",
+    "    for grade in [10, 5, 0, '-']:\n",
+    "        pis = set(july_grades.get((icma, grade), []))\n",
+    "        best_grades_july[icma, grade] = pis - prps\n",
+    "        prps |= pis\n",
+    "best_grades_july;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 113,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "pbgs = [{'pi': pi, 'icma': icma, 'grade': grade} \n",
+    "        for ((icma, grade), pis) in best_grades_july.items() \n",
+    "        for pi in pis]\n",
+    "ps = set(p['pi'] for p in pbgs)\n",
+    "july_best_grades = {pi: {p['icma']: p['grade'] \n",
+    "                                for p in pbgs\n",
+    "                                if p['pi'] == pi}\n",
+    "                           for pi in ps}\n",
+    "july_best_grades;"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 114,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "dict_values([15, 0, 30, 30, 30, 70, 5, 30, 100, 10, 100, 90, 60, 100, 50, 80, 90, 50, 70, 20, 45, 60, 100, 90, 20, 100, 100, 30, 100, 100, 100, 30, 30, 5, 100, 20, 30, 100, 50, 10, 0, 40, 100, 50, 100, 80, 20, 30, 90, 50, 70, 10, 40, 65, 30, 30, 20, 100, 95, 50, 60, 10, 20, 25, 50, 15, 40, 10, 70, 40, 100, 100, 15, 40, 80, 90, 40, 10, 10])"
+      ]
+     },
+     "execution_count": 114,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "july_scores = {k: sum(scores.values())\n",
+    "              for k, scores in july_best_grades.items()}\n",
+    "july_scores.values()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc0e19a70b8>"
+      ]
+     },
+     "execution_count": 115,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAEACAYAAABI5zaHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nIYe7JLWQw12SWuj/AaQ3Cbfni8LMAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fc0e1acb358>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pd.Series(list(july_scores.values())).hist(bins=20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 116,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "16"
+      ]
+     },
+     "execution_count": 116,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sum(1 for pi in july_scores if july_scores[pi] >= 100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 117,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "9"
+      ]
+     },
+     "execution_count": 117,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sum(1 for pi in july_scores if july_scores[pi] >= 80 if july_scores[pi] < 100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 118,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "[(pi, \n",
+    "  icmas.find_one({'Personal Identifier': pi})['First name'],\n",
+    "  icmas.find_one({'Personal Identifier': pi})['Surname']) \n",
+    " for pi in july_scores if july_scores[pi] >= 100];"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 119,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "winners = random.sample([pi for pi in july_scores if july_scores[pi] >= 100], 2)\n",
+    "\n",
+    "# for w in winners:\n",
+    "#     winner = icmas.find_one({'Personal Identifier': w})\n",
+    "#     print('{} {} PI {} email {}'.format(\n",
+    "#         winner['First name'],\n",
+    "#         winner['Surname'],\n",
+    "#         winner['Personal Identifier'],\n",
+    "#         winner['Email address']\n",
+    "#         ));"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 120,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "[(pi, \n",
+    "  icmas.find_one({'Personal Identifier': pi})['First name'],\n",
+    "  icmas.find_one({'Personal Identifier': pi})['Surname'])\n",
+    " for pi in july_scores if july_scores[pi] >= 80 if july_scores[pi] < 100];"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 121,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "winners = random.sample([pi for pi in july_scores if july_scores[pi] >= 80 if july_scores[pi] < 100], 1)\n",
+    "\n",
+    "# for w in winners:\n",
+    "#     winner = icmas.find_one({'Personal Identifier': w})\n",
+    "#     print('{} {} PI {} email {}'.format(\n",
+    "#         winner['First name'],\n",
+    "#         winner['Surname'],\n",
+    "#         winner['Personal Identifier'],\n",
+    "#         winner['Email address']\n",
+    "#         ));"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.2+"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}