Year to date comparison 2015 to 2016.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Year to date homicide comparison, 2015 to 2016\n",
    "\n",
    "By the end of August, 2016, it appears that the number of homicides for 2016 will have surpassed the number of homicides for all of 2015.\n",
    "\n",
    "This is a comparison of the homicides, broken down by age of victim, geography and some temporal aspects, through August 31, comparing 2015 to 2016."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Load some data\n",
    "\n",
    "import os\n",
    "import requests\n",
    "\n",
    "def get_table_url(table_name, base_url=os.environ['NEWSROOMDB_URL']):\n",
    "    return '{}table/json/{}'.format(os.environ['NEWSROOMDB_URL'], table_name)\n",
    "\n",
    "def get_table_data(table_name):\n",
    "    url = get_table_url(table_name)\n",
    "    \n",
    "    try:\n",
    "        r = requests.get(url)\n",
    "        return r.json()\n",
    "    except:\n",
    "        print(\"Request failed. Probably because the response is huge.  We should fix this.\")\n",
    "        return get_table_data(table_name)\n",
    "    \n",
    "homicides_raw = get_table_data('homicides')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Pull homicides into a dataframe\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "homicides = pd.DataFrame(homicides_raw)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Filter to year-to-day, 2015/2016 homicides only"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Add a column that contains date and time together and is a Python datetime\n",
    "from datetime import datetime\n",
    "\n",
    "def get_datetime(row):\n",
    "    if not row['Occ Date']:\n",
    "        return None\n",
    "    \n",
    "    dt_str = row['Occ Date']\n",
    "    fmt_str = \"%Y-%m-%d\"\n",
    "    if row['Occ Time']:\n",
    "        dt_str = dt_str + \" \" + row['Occ Time']\n",
    "        fmt_str += \" %H:%M\"\n",
    "        \n",
    "    return datetime.strptime(dt_str, fmt_str)\n",
    "\n",
    "def get_month(row):\n",
    "    return row['datetime'].month\n",
    "\n",
    "homicides['datetime'] = homicides.apply(get_datetime, axis=1)\n",
    "homicides['year'] = homicides.apply(lambda row: row['datetime'].year, axis=1)\n",
    "homicides['month'] = homicides.apply(get_month, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Filter to homicides on or before this day\n",
    "\n",
    "from datetime import datetime\n",
    "\n",
    "# If we wanted to do this to the exact day of the year, which accomodates the fact that 2016 was a leap year,\n",
    "# we would do it this way, however, I think it will be easier to talk to editors about it if we\n",
    "# do a straight-up comparison through 8/31.\n",
    "\n",
    "# day_of_year = datetime.now().timetuple().tm_yday\n",
    "#\n",
    "#def get_day_of_year(row):\n",
    "#    try:\n",
    "#        return row['datetime'].timetuple().tm_yday\n",
    "#    except ValueError:\n",
    "#        return None\n",
    "#\n",
    "#homicides['day_of_year'] = homicides.apply(get_day_of_year, axis=1)\n",
    "#\n",
    "#homicides_with_day_of_year = homicides[homicides['day_of_year'] != None]\n",
    "\n",
    "end_date = datetime(2016, 9, 1)\n",
    "\n",
    "def is_before_date(row):\n",
    "    if row['datetime'].year == 2016:\n",
    "        return row['datetime'] < end_date\n",
    "    elif row['datetime'].year == 2015:\n",
    "        return row['datetime'] < end_date.replace(year=2015) \n",
    "    else:\n",
    "        return False\n",
    "    \n",
    "homicides_to_day = homicides[homicides.apply(is_before_date, axis=1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/ghing/venvs/public-notebooks/lib/python3.4/site-packages/ipykernel/__main__.py:9: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
     ]
    }
   ],
   "source": [
    "# Normalize district numbers\n",
    "\n",
    "def normalize_district_number(d):\n",
    "    try:\n",
    "        return int(d)\n",
    "    except ValueError:\n",
    "        return d\n",
    "\n",
    "homicides_to_day['District Number'] = homicides_to_day['District Number'].apply(normalize_district_number)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Get only 2015, 2016 homicides\n",
    "\n",
    "homicides_to_day_2015 = homicides_to_day[homicides_to_day['year'] == 2015]\n",
    "homicides_to_day_2016 = homicides_to_day[homicides_to_day['year'] == 2016]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2015 homicides"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datetime</th>\n",
       "      <th>Age</th>\n",
       "      <th>District Number</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>648</th>\n",
       "      <td>2015-01-03 01:30:00</td>\n",
       "      <td>39</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>651</th>\n",
       "      <td>2015-01-04 20:50:00</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>647</th>\n",
       "      <td>2015-01-05 21:44:00</td>\n",
       "      <td>56</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>646</th>\n",
       "      <td>2015-01-05 23:40:00</td>\n",
       "      <td>24</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>649</th>\n",
       "      <td>2015-01-06 15:30:00</td>\n",
       "      <td>19</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>650</th>\n",
       "      <td>2015-01-06 15:30:00</td>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>667</th>\n",
       "      <td>2015-01-06 22:20:00</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>652</th>\n",
       "      <td>2015-01-08 20:45:00</td>\n",
       "      <td>51</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1090</th>\n",
       "      <td>2015-01-09 22:40:00</td>\n",
       "      <td>35</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>653</th>\n",
       "      <td>2015-01-13 17:00:00</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>657</th>\n",
       "      <td>2015-01-13 21:50:00</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>674</th>\n",
       "      <td>2015-01-14 17:20:00</td>\n",
       "      <td>24</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>654</th>\n",
       "      <td>2015-01-16 19:20:00</td>\n",
       "      <td>17</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>655</th>\n",
       "      <td>2015-01-17 12:45:00</td>\n",
       "      <td>24</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1231</th>\n",
       "      <td>2015-01-17 18:48:00</td>\n",
       "      <td>18</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>658</th>\n",
       "      <td>2015-01-18 11:02:00</td>\n",
       "      <td>21</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>661</th>\n",
       "      <td>2015-01-20 10:15:00</td>\n",
       "      <td>26</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>659</th>\n",
       "      <td>2015-01-21 00:15:00</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>660</th>\n",
       "      <td>2015-01-21 09:00:00</td>\n",
       "      <td>19</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1091</th>\n",
       "      <td>2015-01-21 18:40:00</td>\n",
       "      <td>40</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>666</th>\n",
       "      <td>2015-01-23 17:25:00</td>\n",
       "      <td>35</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>827</th>\n",
       "      <td>2015-01-23 18:15:00</td>\n",
       "      <td>18</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>2015-01-23 18:23:00</td>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>663</th>\n",
       "      <td>2015-01-24 02:00:00</td>\n",
       "      <td>24</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1232</th>\n",
       "      <td>2015-01-25 12:50:00</td>\n",
       "      <td>39</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>668</th>\n",
       "      <td>2015-01-27 13:35:00</td>\n",
       "      <td>23</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>669</th>\n",
       "      <td>2015-01-29 02:00:00</td>\n",
       "      <td>24</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1096</th>\n",
       "      <td>2015-01-29 02:00:00</td>\n",
       "      <td>38</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1444</th>\n",
       "      <td>2015-01-29 03:00:00</td>\n",
       "      <td>20</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>664</th>\n",
       "      <td>2015-01-30 17:40:00</td>\n",
       "      <td>34</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>665</th>\n",
       "      <td>2015-01-31 11:16:00</td>\n",
       "      <td>22</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>673</th>\n",
       "      <td>2015-01-31 14:35:00</td>\n",
       "      <td>27</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>670</th>\n",
       "      <td>2015-02-01 20:00:00</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>671</th>\n",
       "      <td>2015-02-02 08:45:00</td>\n",
       "      <td>50</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>672</th>\n",
       "      <td>2015-02-04 15:10:00</td>\n",
       "      <td>20</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1233</th>\n",
       "      <td>2015-02-08 12:09:00</td>\n",
       "      <td>48</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>2015-02-08 22:00:00</td>\n",
       "      <td>13</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>676</th>\n",
       "      <td>2015-02-09 11:10:00</td>\n",
       "      <td>33</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>678</th>\n",
       "      <td>2015-02-09 21:00:00</td>\n",
       "      <td>60</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>677</th>\n",
       "      <td>2015-02-09 22:00:00</td>\n",
       "      <td>37</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1297</th>\n",
       "      <td>2015-02-10 22:10:00</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1097</th>\n",
       "      <td>2015-02-13 23:58:00</td>\n",
       "      <td>31</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1095</th>\n",
       "      <td>2015-02-15 03:20:00</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1274</th>\n",
       "      <td>2015-02-16 16:45:00</td>\n",
       "      <td>33</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>828</th>\n",
       "      <td>2015-02-19 23:40:00</td>\n",
       "      <td>30</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>772</th>\n",
       "      <td>2015-02-20 17:45:00</td>\n",
       "      <td>25</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1101</th>\n",
       "      <td>2015-02-21 17:05:00</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>771</th>\n",
       "      <td>2015-02-22 14:34:00</td>\n",
       "      <td>26</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1099</th>\n",
       "      <td>2015-02-25 04:10:00</td>\n",
       "      <td>23</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>773</th>\n",
       "      <td>2015-02-25 15:10:00</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1280</th>\n",
       "      <td>2015-02-25 16:30:00</td>\n",
       "      <td>25</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1098</th>\n",
       "      <td>2015-02-25 19:20:00</td>\n",
       "      <td>60</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1102</th>\n",
       "      <td>2015-03-02 19:15:00</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1108</th>\n",
       "      <td>2015-03-03 13:20:00</td>\n",
       "      <td>28</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>2015-03-07 01:35:00</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>774</th>\n",
       "      <td>2015-03-07 01:35:00</td>\n",
       "      <td>22</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1103</th>\n",
       "      <td>2015-03-07 16:09:00</td>\n",
       "      <td>40</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1111</th>\n",
       "      <td>2015-03-08 03:05:00</td>\n",
       "      <td>79</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>775</th>\n",
       "      <td>2015-03-08 18:33:00</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1106</th>\n",
       "      <td>2015-03-09 09:36:00</td>\n",
       "      <td>7 mth</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>776</th>\n",
       "      <td>2015-03-09 15:00:00</td>\n",
       "      <td>20</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1104</th>\n",
       "      <td>2015-03-09 18:30:00</td>\n",
       "      <td>77</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1114</th>\n",
       "      <td>2015-03-09 19:35:00</td>\n",
       "      <td>25</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>779</th>\n",
       "      <td>2015-03-15 04:00:00</td>\n",
       "      <td>19</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1110</th>\n",
       "      <td>2015-03-15 12:52:00</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>777</th>\n",
       "      <td>2015-03-15 16:30:00</td>\n",
       "      <td>23</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>778</th>\n",
       "      <td>2015-03-15 16:30:00</td>\n",
       "      <td>28</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>787</th>\n",
       "      <td>2015-03-16 03:10:00</td>\n",
       "      <td>34</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1387</th>\n",
       "      <td>2015-03-16 03:10:00</td>\n",
       "      <td>41</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1109</th>\n",
       "      <td>2015-03-19 00:30:00</td>\n",
       "      <td>43</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>780</th>\n",
       "      <td>2015-03-19 02:08:00</td>\n",
       "      <td>30</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1129</th>\n",
       "      <td>2015-03-19 11:10:00</td>\n",
       "      <td>24</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>781</th>\n",
       "      <td>2015-03-19 20:00:00</td>\n",
       "      <td>24</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>782</th>\n",
       "      <td>2015-03-20 16:25:00</td>\n",
       "      <td>21</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>783</th>\n",
       "      <td>2015-03-21 12:30:00</td>\n",
       "      <td>30</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>784</th>\n",
       "      <td>2015-03-21 19:10:00</td>\n",
       "      <td>23</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1237</th>\n",
       "      <td>2015-03-22 18:35:00</td>\n",
       "      <td>21</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1112</th>\n",
       "      <td>2015-03-24 06:30:00</td>\n",
       "      <td>27</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1123</th>\n",
       "      <td>2015-03-25 17:35:00</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>785</th>\n",
       "      <td>2015-03-26 17:45:00</td>\n",
       "      <td>21</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1113</th>\n",
       "      <td>2015-03-27 02:00:00</td>\n",
       "      <td>24</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>786</th>\n",
       "      <td>2015-03-28 01:20:00</td>\n",
       "      <td>36</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1124</th>\n",
       "      <td>2015-03-28 09:15:00</td>\n",
       "      <td>27</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>788</th>\n",
       "      <td>2015-03-29 02:00:00</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1234</th>\n",
       "      <td>2015-03-30 13:55:00</td>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1115</th>\n",
       "      <td>2015-03-31 10:10:00</td>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1238</th>\n",
       "      <td>2015-03-31 12:10:00</td>\n",
       "      <td>52</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1120</th>\n",
       "      <td>2015-04-01 18:25:00</td>\n",
       "      <td>16</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1117</th>\n",
       "      <td>2015-04-01 23:55:00</td>\n",
       "      <td>28</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1116</th>\n",
       "      <td>2015-04-02 02:05:00</td>\n",
       "      <td>36</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1260</th>\n",
       "      <td>2015-04-02 20:30:00</td>\n",
       "      <td>37</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1121</th>\n",
       "      <td>2015-04-03 11:30:00</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>789</th>\n",
       "      <td>2015-04-03 14:00:00</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>790</th>\n",
       "      <td>2015-04-04 12:15:00</td>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>791</th>\n",
       "      <td>2015-04-04 16:14:00</td>\n",
       "      <td>42</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1248</th>\n",
       "      <td>2015-04-07 14:45:00</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>792</th>\n",
       "      <td>2015-04-08 02:55:00</td>\n",
       "      <td>24</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1118</th>\n",
       "      <td>2015-04-08 11:15:00</td>\n",
       "      <td>21</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1119</th>\n",
       "      <td>2015-04-08 14:25:00</td>\n",
       "      <td>56</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1126</th>\n",
       "      <td>2015-04-10 22:35:00</td>\n",
       "      <td>39</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1122</th>\n",
       "      <td>2015-04-11 20:40:00</td>\n",
       "      <td>22</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>793</th>\n",
       "      <td>2015-04-15 01:50:00</td>\n",
       "      <td>24</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1855</th>\n",
       "      <td>2015-04-15 17:45:00</td>\n",
       "      <td>58</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1328</th>\n",
       "      <td>2015-04-17 22:50:00</td>\n",
       "      <td>36</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1125</th>\n",
       "      <td>2015-04-18 01:05:00</td>\n",
       "      <td>50</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>794</th>\n",
       "      <td>2015-04-19 05:20:00</td>\n",
       "      <td>43</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1236</th>\n",
       "      <td>2015-04-19 06:35:00</td>\n",
       "      <td>34</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1235</th>\n",
       "      <td>2015-04-19 06:35:00</td>\n",
       "      <td>30</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1127</th>\n",
       "      <td>2015-04-20 14:43:00</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1128</th>\n",
       "      <td>2015-04-20 22:15:00</td>\n",
       "      <td>21</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1133</th>\n",
       "      <td>2015-04-21 02:20:00</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>795</th>\n",
       "      <td>2015-04-21 13:00:00</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1134</th>\n",
       "      <td>2015-04-21 21:50:00</td>\n",
       "      <td>28</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1130</th>\n",
       "      <td>2015-04-23 18:00:00</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1131</th>\n",
       "      <td>2015-04-24 10:00:00</td>\n",
       "      <td>26</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>796</th>\n",
       "      <td>2015-04-24 23:00:00</td>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>797</th>\n",
       "      <td>2015-04-25 01:05:00</td>\n",
       "      <td>18</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1239</th>\n",
       "      <td>2015-04-26 12:40:00</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1240</th>\n",
       "      <td>2015-04-28 15:00:00</td>\n",
       "      <td>30</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1388</th>\n",
       "      <td>2015-04-29 12:05:00</td>\n",
       "      <td>25</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1247</th>\n",
       "      <td>2015-04-29 14:00:00</td>\n",
       "      <td>24</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1241</th>\n",
       "      <td>2015-04-30 03:44:00</td>\n",
       "      <td>27</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1242</th>\n",
       "      <td>2015-05-01 00:45:00</td>\n",
       "      <td>27</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>831</th>\n",
       "      <td>2015-05-01 17:00:00</td>\n",
       "      <td>30</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>832</th>\n",
       "      <td>2015-05-01 17:00:00</td>\n",
       "      <td>29</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>829</th>\n",
       "      <td>2015-05-01 17:20:00</td>\n",
       "      <td>24</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>830</th>\n",
       "      <td>2015-05-01 22:10:00</td>\n",
       "      <td>26</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>833</th>\n",
       "      <td>2015-05-03 00:40:00</td>\n",
       "      <td>26</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1243</th>\n",
       "      <td>2015-05-05 01:19:00</td>\n",
       "      <td>26</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1244</th>\n",
       "      <td>2015-05-05 17:00:00</td>\n",
       "      <td>53</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1246</th>\n",
       "      <td>2015-05-07 12:15:00</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1577</th>\n",
       "      <td>2015-05-07 19:45:00</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>834</th>\n",
       "      <td>2015-05-09 13:00:00</td>\n",
       "      <td>22</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1245</th>\n",
       "      <td>2015-05-09 23:58:00</td>\n",
       "      <td>23</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1249</th>\n",
       "      <td>2015-05-10 10:40:00</td>\n",
       "      <td>38</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1251</th>\n",
       "      <td>2015-05-13 20:05:00</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1252</th>\n",
       "      <td>2015-05-13 20:05:00</td>\n",
       "      <td>19</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1308</th>\n",
       "      <td>2015-05-13 20:05:00</td>\n",
       "      <td>19</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1258</th>\n",
       "      <td>2015-05-13 23:10:00</td>\n",
       "      <td>19</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1253</th>\n",
       "      <td>2015-05-14 19:20:00</td>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>835</th>\n",
       "      <td>2015-05-15 23:58:00</td>\n",
       "      <td>24</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1305</th>\n",
       "      <td>2015-05-18 00:30:00</td>\n",
       "      <td>28</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>836</th>\n",
       "      <td>2015-05-18 12:15:00</td>\n",
       "      <td>26</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>842</th>\n",
       "      <td>2015-05-20 06:15:00</td>\n",
       "      <td>61</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>843</th>\n",
       "      <td>2015-05-20 11:45:00</td>\n",
       "      <td>23</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1257</th>\n",
       "      <td>2015-05-20 20:10:00</td>\n",
       "      <td>54</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1256</th>\n",
       "      <td>2015-05-21 11:40:00</td>\n",
       "      <td>33</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1261</th>\n",
       "      <td>2015-05-21 23:25:00</td>\n",
       "      <td>22</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>837</th>\n",
       "      <td>2015-05-23 01:45:00</td>\n",
       "      <td>34</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1272</th>\n",
       "      <td>2015-05-23 02:15:00</td>\n",
       "      <td>20</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>838</th>\n",
       "      <td>2015-05-23 12:45:00</td>\n",
       "      <td>24</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1337</th>\n",
       "      <td>2015-05-23 23:45:00</td>\n",
       "      <td>27</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1273</th>\n",
       "      <td>2015-05-24 00:27:00</td>\n",
       "      <td>32</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1262</th>\n",
       "      <td>2015-05-24 00:48:00</td>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>839</th>\n",
       "      <td>2015-05-24 15:30:00</td>\n",
       "      <td>38</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1352</th>\n",
       "      <td>2015-05-24 16:00:00</td>\n",
       "      <td>28</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1286</th>\n",
       "      <td>2015-05-24 20:15:00</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1264</th>\n",
       "      <td>2015-05-25 14:30:00</td>\n",
       "      <td>29</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1263</th>\n",
       "      <td>2015-05-25 17:30:00</td>\n",
       "      <td>19</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>844</th>\n",
       "      <td>2015-05-25 19:50:00</td>\n",
       "      <td>17</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1271</th>\n",
       "      <td>2015-05-28 14:50:00</td>\n",
       "      <td>49</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270</th>\n",
       "      <td>2015-05-28 14:50:00</td>\n",
       "      <td>22</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1266</th>\n",
       "      <td>2015-05-29 01:36:00</td>\n",
       "      <td>19</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1268</th>\n",
       "      <td>2015-05-29 23:58:00</td>\n",
       "      <td>24</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>841</th>\n",
       "      <td>2015-05-30 00:45:00</td>\n",
       "      <td>43</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>840</th>\n",
       "      <td>2015-05-30 01:25:00</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1269</th>\n",
       "      <td>2015-05-30 02:00:00</td>\n",
       "      <td>25</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1363</th>\n",
       "      <td>2015-05-31 05:25:00</td>\n",
       "      <td>18</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1281</th>\n",
       "      <td>2015-05-31 12:15:00</td>\n",
       "      <td>25</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>847</th>\n",
       "      <td>2015-05-31 19:10:00</td>\n",
       "      <td>53</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1275</th>\n",
       "      <td>2015-05-31 19:13:00</td>\n",
       "      <td>27</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1295</th>\n",
       "      <td>2015-06-01 13:10:00</td>\n",
       "      <td>22</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>855</th>\n",
       "      <td>2015-06-01 14:01:00</td>\n",
       "      <td>28</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1306</th>\n",
       "      <td>2015-06-01 14:30:00</td>\n",
       "      <td>23</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1276</th>\n",
       "      <td>2015-06-03 16:50:00</td>\n",
       "      <td>45</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1282</th>\n",
       "      <td>2015-06-04 16:59:00</td>\n",
       "      <td>28</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>845</th>\n",
       "      <td>2015-06-04 21:45:00</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1277</th>\n",
       "      <td>2015-06-05 18:01:00</td>\n",
       "      <td>34</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1278</th>\n",
       "      <td>2015-06-05 21:55:00</td>\n",
       "      <td>27</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>846</th>\n",
       "      <td>2015-06-06 02:13:00</td>\n",
       "      <td>17</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1607</th>\n",
       "      <td>2015-06-07 03:50:00</td>\n",
       "      <td>19</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1608</th>\n",
       "      <td>2015-06-07 03:50:00</td>\n",
       "      <td>19</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1307</th>\n",
       "      <td>2015-06-08 19:00:00</td>\n",
       "      <td>35</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>848</th>\n",
       "      <td>2015-06-10 00:45:00</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1598</th>\n",
       "      <td>2015-06-10 12:55:00</td>\n",
       "      <td>22</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>849</th>\n",
       "      <td>2015-06-10 20:35:00</td>\n",
       "      <td>17</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1283</th>\n",
       "      <td>2015-06-12 00:45:00</td>\n",
       "      <td>23</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1284</th>\n",
       "      <td>2015-06-12 01:00:00</td>\n",
       "      <td>38</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1285</th>\n",
       "      <td>2015-06-12 11:02:00</td>\n",
       "      <td>55</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>850</th>\n",
       "      <td>2015-06-13 02:50:00</td>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1288</th>\n",
       "      <td>2015-06-13 21:55:00</td>\n",
       "      <td>55</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1291</th>\n",
       "      <td>2015-06-14 00:30:00</td>\n",
       "      <td></td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1359</th>\n",
       "      <td>2015-06-14 18:20:00</td>\n",
       "      <td>31</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289</th>\n",
       "      <td>2015-06-14 21:45:00</td>\n",
       "      <td>49</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1292</th>\n",
       "      <td>2015-06-16 01:05:00</td>\n",
       "      <td>49</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1301</th>\n",
       "      <td>2015-06-16 17:40:00</td>\n",
       "      <td>15</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1290</th>\n",
       "      <td>2015-06-16 22:01:00</td>\n",
       "      <td>29</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1298</th>\n",
       "      <td>2015-06-17 22:02:00</td>\n",
       "      <td>15</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1293</th>\n",
       "      <td>2015-06-17 23:50:00</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1294</th>\n",
       "      <td>2015-06-18 15:10:00</td>\n",
       "      <td>30</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>852</th>\n",
       "      <td>2015-06-18 21:50:00</td>\n",
       "      <td>43</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>851</th>\n",
       "      <td>2015-06-18 21:55:00</td>\n",
       "      <td>23</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1296</th>\n",
       "      <td>2015-06-20 12:02:00</td>\n",
       "      <td>21</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1303</th>\n",
       "      <td>2015-06-20 23:20:00</td>\n",
       "      <td>18</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1409</th>\n",
       "      <td>2015-06-21 00:00:00</td>\n",
       "      <td>28</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1318</th>\n",
       "      <td>2015-06-21 10:00:00</td>\n",
       "      <td>27</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1299</th>\n",
       "      <td>2015-06-21 23:15:00</td>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>853</th>\n",
       "      <td>2015-06-23 14:06:00</td>\n",
       "      <td>21</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1304</th>\n",
       "      <td>2015-06-23 20:20:00</td>\n",
       "      <td>52</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1300</th>\n",
       "      <td>2015-06-23 23:35:00</td>\n",
       "      <td>34</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>854</th>\n",
       "      <td>2015-06-25 00:05:00</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1302</th>\n",
       "      <td>2015-06-25 16:45:00</td>\n",
       "      <td>21</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1310</th>\n",
       "      <td>2015-06-27 02:25:00</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1309</th>\n",
       "      <td>2015-06-27 03:40:00</td>\n",
       "      <td>32</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1319</th>\n",
       "      <td>2015-06-27 19:00:00</td>\n",
       "      <td>21</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>856</th>\n",
       "      <td>2015-06-28 14:10:00</td>\n",
       "      <td>21</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1311</th>\n",
       "      <td>2015-06-29 03:03:00</td>\n",
       "      <td>26</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1314</th>\n",
       "      <td>2015-06-29 15:30:00</td>\n",
       "      <td>20</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1313</th>\n",
       "      <td>2015-06-30 02:30:00</td>\n",
       "      <td>49</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>857</th>\n",
       "      <td>2015-06-30 22:45:00</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>858</th>\n",
       "      <td>2015-07-01 21:50:00</td>\n",
       "      <td>50</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1315</th>\n",
       "      <td>2015-07-02 11:10:00</td>\n",
       "      <td>22</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>859</th>\n",
       "      <td>2015-07-02 18:25:00</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1316</th>\n",
       "      <td>2015-07-03 00:05:00</td>\n",
       "      <td>26</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>860</th>\n",
       "      <td>2015-07-03 01:20:00</td>\n",
       "      <td>47</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1317</th>\n",
       "      <td>2015-07-03 16:45:00</td>\n",
       "      <td>17</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1348</th>\n",
       "      <td>2015-07-04 20:25:00</td>\n",
       "      <td>28</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1350</th>\n",
       "      <td>2015-07-04 23:55:00</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>861</th>\n",
       "      <td>2015-07-05 00:55:00</td>\n",
       "      <td>28</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1414</th>\n",
       "      <td>2015-07-05 02:45:00</td>\n",
       "      <td>23</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1326</th>\n",
       "      <td>2015-07-05 05:00:00</td>\n",
       "      <td>27</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>862</th>\n",
       "      <td>2015-07-05 06:10:00</td>\n",
       "      <td>25</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>863</th>\n",
       "      <td>2015-07-05 06:10:00</td>\n",
       "      <td>31</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1320</th>\n",
       "      <td>2015-07-05 16:00:00</td>\n",
       "      <td>48</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>871</th>\n",
       "      <td>2015-07-06 17:30:00</td>\n",
       "      <td>16</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1338</th>\n",
       "      <td>2015-07-07 09:40:00</td>\n",
       "      <td>21</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>864</th>\n",
       "      <td>2015-07-08 02:10:00</td>\n",
       "      <td>25</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1325</th>\n",
       "      <td>2015-07-08 13:15:00</td>\n",
       "      <td>36</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1375</th>\n",
       "      <td>2015-07-09 20:45:00</td>\n",
       "      <td>22</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1321</th>\n",
       "      <td>2015-07-09 22:05:00</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1401</th>\n",
       "      <td>2015-07-10 17:00:00</td>\n",
       "      <td>40</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1339</th>\n",
       "      <td>2015-07-10 23:10:00</td>\n",
       "      <td>25</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1322</th>\n",
       "      <td>2015-07-11 02:15:00</td>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1340</th>\n",
       "      <td>2015-07-11 03:15:00</td>\n",
       "      <td>26</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1324</th>\n",
       "      <td>2015-07-11 13:40:00</td>\n",
       "      <td>22</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1342</th>\n",
       "      <td>2015-07-11 14:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>865</th>\n",
       "      <td>2015-07-12 17:30:00</td>\n",
       "      <td>19</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1345</th>\n",
       "      <td>2015-07-13 04:30:00</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1371</th>\n",
       "      <td>2015-07-15 17:45:00</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>867</th>\n",
       "      <td>2015-07-15 19:50:00</td>\n",
       "      <td>21</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>866</th>\n",
       "      <td>2015-07-15 23:58:00</td>\n",
       "      <td>23</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>868</th>\n",
       "      <td>2015-07-17 04:25:00</td>\n",
       "      <td>34</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1331</th>\n",
       "      <td>2015-07-17 13:40:00</td>\n",
       "      <td>22</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1329</th>\n",
       "      <td>2015-07-17 17:23:00</td>\n",
       "      <td>29</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1330</th>\n",
       "      <td>2015-07-17 17:23:00</td>\n",
       "      <td>29</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1334</th>\n",
       "      <td>2015-07-18 01:00:00</td>\n",
       "      <td>25</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>869</th>\n",
       "      <td>2015-07-18 04:20:00</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>875</th>\n",
       "      <td>2015-07-18 04:30:00</td>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1335</th>\n",
       "      <td>2015-07-18 21:55:00</td>\n",
       "      <td>25</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>870</th>\n",
       "      <td>2015-07-20 23:00:00</td>\n",
       "      <td>36</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1341</th>\n",
       "      <td>2015-07-21 21:39:00</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1616</th>\n",
       "      <td>2015-07-23 16:45:00</td>\n",
       "      <td>59</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>872</th>\n",
       "      <td>2015-07-24 18:45:00</td>\n",
       "      <td>17</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1346</th>\n",
       "      <td>2015-07-25 00:50:00</td>\n",
       "      <td>32</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1343</th>\n",
       "      <td>2015-07-25 22:15:00</td>\n",
       "      <td>21</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1344</th>\n",
       "      <td>2015-07-26 02:35:00</td>\n",
       "      <td>32</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>873</th>\n",
       "      <td>2015-07-26 02:35:00</td>\n",
       "      <td>35</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1362</th>\n",
       "      <td>2015-07-26 09:00:00</td>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>874</th>\n",
       "      <td>2015-07-26 19:45:00</td>\n",
       "      <td>16</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1347</th>\n",
       "      <td>2015-07-27 19:20:00</td>\n",
       "      <td>21</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1349</th>\n",
       "      <td>2015-07-28 14:20:00</td>\n",
       "      <td>40</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>876</th>\n",
       "      <td>2015-07-30 03:40:00</td>\n",
       "      <td>21</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1553</th>\n",
       "      <td>2015-07-30 23:40:00</td>\n",
       "      <td>35</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1354</th>\n",
       "      <td>2015-07-31 04:50:00</td>\n",
       "      <td>23</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1355</th>\n",
       "      <td>2015-08-01 02:45:00</td>\n",
       "      <td>21</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>877</th>\n",
       "      <td>2015-08-02 01:03:00</td>\n",
       "      <td>22</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1353</th>\n",
       "      <td>2015-08-02 03:15:00</td>\n",
       "      <td>21</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>882</th>\n",
       "      <td>2015-08-02 05:00:00</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>879</th>\n",
       "      <td>2015-08-05 06:00:00</td>\n",
       "      <td>21</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1358</th>\n",
       "      <td>2015-08-05 23:20:00</td>\n",
       "      <td>27</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1361</th>\n",
       "      <td>2015-08-06 01:20:00</td>\n",
       "      <td>51</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1369</th>\n",
       "      <td>2015-08-06 19:00:00</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1366</th>\n",
       "      <td>2015-08-06 19:00:00</td>\n",
       "      <td>20</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>881</th>\n",
       "      <td>2015-08-07 02:45:00</td>\n",
       "      <td>31</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1360</th>\n",
       "      <td>2015-08-07 23:10:00</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1367</th>\n",
       "      <td>2015-08-09 00:15:00</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>880</th>\n",
       "      <td>2015-08-09 23:05:00</td>\n",
       "      <td>27</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>883</th>\n",
       "      <td>2015-08-11 22:55:00</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1364</th>\n",
       "      <td>2015-08-12 14:20:00</td>\n",
       "      <td>14</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1373</th>\n",
       "      <td>2015-08-12 21:40:00</td>\n",
       "      <td>None</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>887</th>\n",
       "      <td>2015-08-13 03:10:00</td>\n",
       "      <td>30</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1368</th>\n",
       "      <td>2015-08-13 14:55:00</td>\n",
       "      <td>18</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1365</th>\n",
       "      <td>2015-08-14 14:30:00</td>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>884</th>\n",
       "      <td>2015-08-14 18:30:00</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382</th>\n",
       "      <td>2015-08-15 02:00:00</td>\n",
       "      <td>27</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>889</th>\n",
       "      <td>2015-08-15 03:05:00</td>\n",
       "      <td>50</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1380</th>\n",
       "      <td>2015-08-16 13:00:00</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1434</th>\n",
       "      <td>2015-08-16 21:45:00</td>\n",
       "      <td>16</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1433</th>\n",
       "      <td>2015-08-16 21:45:00</td>\n",
       "      <td>19</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1370</th>\n",
       "      <td>2015-08-17 21:00:00</td>\n",
       "      <td>32</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>885</th>\n",
       "      <td>2015-08-17 21:30:00</td>\n",
       "      <td>37</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>920</th>\n",
       "      <td>2015-08-19 01:35:00</td>\n",
       "      <td>31</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1374</th>\n",
       "      <td>2015-08-19 13:25:00</td>\n",
       "      <td>20</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1372</th>\n",
       "      <td>2015-08-20 01:10:00</td>\n",
       "      <td>23</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1377</th>\n",
       "      <td>2015-08-21 01:30:00</td>\n",
       "      <td>48</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1379</th>\n",
       "      <td>2015-08-21 02:08:00</td>\n",
       "      <td>20</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1437</th>\n",
       "      <td>2015-08-21 18:15:00</td>\n",
       "      <td>18</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1403</th>\n",
       "      <td>2015-08-21 22:09:00</td>\n",
       "      <td>29</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>886</th>\n",
       "      <td>2015-08-22 04:53:00</td>\n",
       "      <td>34</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1376</th>\n",
       "      <td>2015-08-22 21:30:00</td>\n",
       "      <td>35</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>888</th>\n",
       "      <td>2015-08-23 06:00:00</td>\n",
       "      <td>28</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1381</th>\n",
       "      <td>2015-08-23 20:35:00</td>\n",
       "      <td>42</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1378</th>\n",
       "      <td>2015-08-23 20:40:00</td>\n",
       "      <td>30</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1392</th>\n",
       "      <td>2015-08-24 18:00:00</td>\n",
       "      <td>24</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1384</th>\n",
       "      <td>2015-08-24 19:35:00</td>\n",
       "      <td>66</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1416</th>\n",
       "      <td>2015-08-24 20:20:00</td>\n",
       "      <td>24</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>890</th>\n",
       "      <td>2015-08-25 18:00:00</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1386</th>\n",
       "      <td>2015-08-25 22:30:00</td>\n",
       "      <td>28</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1385</th>\n",
       "      <td>2015-08-26 10:35:00</td>\n",
       "      <td>23</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1698</th>\n",
       "      <td>2015-08-26 10:35:00</td>\n",
       "      <td>22</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1465</th>\n",
       "      <td>2015-08-26 19:30:00</td>\n",
       "      <td>23</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1393</th>\n",
       "      <td>2015-08-27 21:00:00</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1390</th>\n",
       "      <td>2015-08-29 04:10:00</td>\n",
       "      <td>34</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>891</th>\n",
       "      <td>2015-08-29 23:05:00</td>\n",
       "      <td>44</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1389</th>\n",
       "      <td>2015-08-30 01:00:00</td>\n",
       "      <td>16</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1402</th>\n",
       "      <td>2015-08-30 04:05:00</td>\n",
       "      <td>28</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1522</th>\n",
       "      <td>2015-08-30 14:00:00</td>\n",
       "      <td>64</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1523</th>\n",
       "      <td>2015-08-31 11:00:00</td>\n",
       "      <td>51</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1412</th>\n",
       "      <td>2015-08-31 18:57:00</td>\n",
       "      <td>30</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1391</th>\n",
       "      <td>2015-08-31 20:35:00</td>\n",
       "      <td>35</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>892</th>\n",
       "      <td>2015-08-31 21:35:00</td>\n",
       "      <td>25</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                datetime    Age District Number\n",
       "648  2015-01-03 01:30:00     39              15\n",
       "651  2015-01-04 20:50:00     20              10\n",
       "647  2015-01-05 21:44:00     56               8\n",
       "646  2015-01-05 23:40:00     24               6\n",
       "649  2015-01-06 15:30:00     19               4\n",
       "650  2015-01-06 15:30:00     18               4\n",
       "667  2015-01-06 22:20:00      1               7\n",
       "652  2015-01-08 20:45:00     51              10\n",
       "1090 2015-01-09 22:40:00     35              11\n",
       "653  2015-01-13 17:00:00     21               9\n",
       "657  2015-01-13 21:50:00     16               2\n",
       "674  2015-01-14 17:20:00     24               8\n",
       "654  2015-01-16 19:20:00     17               8\n",
       "655  2015-01-17 12:45:00     24              10\n",
       "1231 2015-01-17 18:48:00     18              22\n",
       "658  2015-01-18 11:02:00     21              12\n",
       "661  2015-01-20 10:15:00     26               4\n",
       "659  2015-01-21 00:15:00     25               9\n",
       "660  2015-01-21 09:00:00     19               8\n",
       "1091 2015-01-21 18:40:00     40               9\n",
       "666  2015-01-23 17:25:00     35              10\n",
       "827  2015-01-23 18:15:00     18               8\n",
       "662  2015-01-23 18:23:00     19               6\n",
       "663  2015-01-24 02:00:00     24              11\n",
       "1232 2015-01-25 12:50:00     39              10\n",
       "668  2015-01-27 13:35:00     23               2\n",
       "669  2015-01-29 02:00:00     24               5\n",
       "1096 2015-01-29 02:00:00     38               5\n",
       "1444 2015-01-29 03:00:00     20               9\n",
       "664  2015-01-30 17:40:00     34               7\n",
       "665  2015-01-31 11:16:00     22               4\n",
       "673  2015-01-31 14:35:00     27               5\n",
       "670  2015-02-01 20:00:00     23               1\n",
       "671  2015-02-02 08:45:00     50               2\n",
       "672  2015-02-04 15:10:00     20               8\n",
       "1233 2015-02-08 12:09:00     48              22\n",
       "682  2015-02-08 22:00:00     13              25\n",
       "676  2015-02-09 11:10:00     33              15\n",
       "678  2015-02-09 21:00:00     60              12\n",
       "677  2015-02-09 22:00:00     37              25\n",
       "1297 2015-02-10 22:10:00     16              25\n",
       "1097 2015-02-13 23:58:00     31               6\n",
       "1095 2015-02-15 03:20:00     21               7\n",
       "1274 2015-02-16 16:45:00     33               7\n",
       "828  2015-02-19 23:40:00     30              14\n",
       "772  2015-02-20 17:45:00     25               7\n",
       "1101 2015-02-21 17:05:00     28              19\n",
       "771  2015-02-22 14:34:00     26               7\n",
       "1099 2015-02-25 04:10:00     23              24\n",
       "773  2015-02-25 15:10:00     20              11\n",
       "1280 2015-02-25 16:30:00     25              22\n",
       "1098 2015-02-25 19:20:00     60               5\n",
       "1102 2015-03-02 19:15:00     17               4\n",
       "1108 2015-03-03 13:20:00     28               4\n",
       "124  2015-03-07 01:35:00     18              12\n",
       "774  2015-03-07 01:35:00     22              12\n",
       "1103 2015-03-07 16:09:00     40               9\n",
       "1111 2015-03-08 03:05:00     79              11\n",
       "775  2015-03-08 18:33:00     25               3\n",
       "1106 2015-03-09 09:36:00  7 mth              10\n",
       "776  2015-03-09 15:00:00     20              19\n",
       "1104 2015-03-09 18:30:00     77               5\n",
       "1114 2015-03-09 19:35:00     25              22\n",
       "779  2015-03-15 04:00:00     19              17\n",
       "1110 2015-03-15 12:52:00     16              16\n",
       "777  2015-03-15 16:30:00     23              25\n",
       "778  2015-03-15 16:30:00     28              25\n",
       "787  2015-03-16 03:10:00     34              14\n",
       "1387 2015-03-16 03:10:00     41              14\n",
       "1109 2015-03-19 00:30:00     43               6\n",
       "780  2015-03-19 02:08:00     30              11\n",
       "1129 2015-03-19 11:10:00     24               8\n",
       "781  2015-03-19 20:00:00     24              12\n",
       "782  2015-03-20 16:25:00     21               4\n",
       "783  2015-03-21 12:30:00     30              22\n",
       "784  2015-03-21 19:10:00     23               4\n",
       "1237 2015-03-22 18:35:00     21              20\n",
       "1112 2015-03-24 06:30:00     27              12\n",
       "1123 2015-03-25 17:35:00     25              25\n",
       "785  2015-03-26 17:45:00     21              15\n",
       "1113 2015-03-27 02:00:00     24               4\n",
       "786  2015-03-28 01:20:00     36               1\n",
       "1124 2015-03-28 09:15:00     27               6\n",
       "788  2015-03-29 02:00:00     25               5\n",
       "1234 2015-03-30 13:55:00     24               7\n",
       "1115 2015-03-31 10:10:00     16               7\n",
       "1238 2015-03-31 12:10:00     52              14\n",
       "1120 2015-04-01 18:25:00     16               8\n",
       "1117 2015-04-01 23:55:00     28               3\n",
       "1116 2015-04-02 02:05:00     36               7\n",
       "1260 2015-04-02 20:30:00     37               3\n",
       "1121 2015-04-03 11:30:00     22               2\n",
       "789  2015-04-03 14:00:00     18               7\n",
       "790  2015-04-04 12:15:00     16               7\n",
       "791  2015-04-04 16:14:00     42               6\n",
       "1248 2015-04-07 14:45:00     28              19\n",
       "792  2015-04-08 02:55:00     24              14\n",
       "1118 2015-04-08 11:15:00     21               4\n",
       "1119 2015-04-08 14:25:00     56              25\n",
       "1126 2015-04-10 22:35:00     39              22\n",
       "1122 2015-04-11 20:40:00     22               3\n",
       "793  2015-04-15 01:50:00     24              19\n",
       "1855 2015-04-15 17:45:00     58              14\n",
       "1328 2015-04-17 22:50:00     36              11\n",
       "1125 2015-04-18 01:05:00     50              12\n",
       "794  2015-04-19 05:20:00     43              10\n",
       "1236 2015-04-19 06:35:00     34              25\n",
       "1235 2015-04-19 06:35:00     30              25\n",
       "1127 2015-04-20 14:43:00     18               3\n",
       "1128 2015-04-20 22:15:00     21              22\n",
       "1133 2015-04-21 02:20:00     26               2\n",
       "795  2015-04-21 13:00:00     21              10\n",
       "1134 2015-04-21 21:50:00     28               3\n",
       "1130 2015-04-23 18:00:00     18               3\n",
       "1131 2015-04-24 10:00:00     26               8\n",
       "796  2015-04-24 23:00:00     19               6\n",
       "797  2015-04-25 01:05:00     18               9\n",
       "1239 2015-04-26 12:40:00     20              11\n",
       "1240 2015-04-28 15:00:00     30               5\n",
       "1388 2015-04-29 12:05:00     25              12\n",
       "1247 2015-04-29 14:00:00     24               9\n",
       "1241 2015-04-30 03:44:00     27              15\n",
       "1242 2015-05-01 00:45:00     27               6\n",
       "831  2015-05-01 17:00:00     30              11\n",
       "832  2015-05-01 17:00:00     29              11\n",
       "829  2015-05-01 17:20:00     24               4\n",
       "830  2015-05-01 22:10:00     26               6\n",
       "833  2015-05-03 00:40:00     26               8\n",
       "1243 2015-05-05 01:19:00     26               4\n",
       "1244 2015-05-05 17:00:00     53              24\n",
       "1246 2015-05-07 12:15:00      5               4\n",
       "1577 2015-05-07 19:45:00     28               7\n",
       "834  2015-05-09 13:00:00     22               7\n",
       "1245 2015-05-09 23:58:00     23               3\n",
       "1249 2015-05-10 10:40:00     38              15\n",
       "1251 2015-05-13 20:05:00     20               5\n",
       "1252 2015-05-13 20:05:00     19               5\n",
       "1308 2015-05-13 20:05:00     19               5\n",
       "1258 2015-05-13 23:10:00     19              14\n",
       "1253 2015-05-14 19:20:00     19               7\n",
       "835  2015-05-15 23:58:00     24              12\n",
       "1305 2015-05-18 00:30:00     28               4\n",
       "836  2015-05-18 12:15:00     26               8\n",
       "842  2015-05-20 06:15:00     61              17\n",
       "843  2015-05-20 11:45:00     23               8\n",
       "1257 2015-05-20 20:10:00     54               8\n",
       "1256 2015-05-21 11:40:00     33               4\n",
       "1261 2015-05-21 23:25:00     22               9\n",
       "837  2015-05-23 01:45:00     34              14\n",
       "1272 2015-05-23 02:15:00     20              12\n",
       "838  2015-05-23 12:45:00     24              15\n",
       "1337 2015-05-23 23:45:00     27              17\n",
       "1273 2015-05-24 00:27:00     32               4\n",
       "1262 2015-05-24 00:48:00     29               7\n",
       "839  2015-05-24 15:30:00     38              11\n",
       "1352 2015-05-24 16:00:00     28              14\n",
       "1286 2015-05-24 20:15:00     15               2\n",
       "1264 2015-05-25 14:30:00     29              17\n",
       "1263 2015-05-25 17:30:00     19               2\n",
       "844  2015-05-25 19:50:00     17              15\n",
       "1271 2015-05-28 14:50:00     49               8\n",
       "1270 2015-05-28 14:50:00     22               8\n",
       "1266 2015-05-29 01:36:00     19              20\n",
       "1268 2015-05-29 23:58:00     24              10\n",
       "841  2015-05-30 00:45:00     43              12\n",
       "840  2015-05-30 01:25:00     19               3\n",
       "1269 2015-05-30 02:00:00     25              19\n",
       "1363 2015-05-31 05:25:00     18              11\n",
       "1281 2015-05-31 12:15:00     25               6\n",
       "847  2015-05-31 19:10:00     53              15\n",
       "1275 2015-05-31 19:13:00     27              15\n",
       "1295 2015-06-01 13:10:00     22              24\n",
       "855  2015-06-01 14:01:00     28              11\n",
       "1306 2015-06-01 14:30:00     23              11\n",
       "1276 2015-06-03 16:50:00     45              24\n",
       "1282 2015-06-04 16:59:00     28               6\n",
       "845  2015-06-04 21:45:00     17               4\n",
       "1277 2015-06-05 18:01:00     34               5\n",
       "1278 2015-06-05 21:55:00     27              10\n",
       "846  2015-06-06 02:13:00     17               9\n",
       "1607 2015-06-07 03:50:00     19              25\n",
       "1608 2015-06-07 03:50:00     19              25\n",
       "1307 2015-06-08 19:00:00     35              22\n",
       "848  2015-06-10 00:45:00     20              20\n",
       "1598 2015-06-10 12:55:00     22               8\n",
       "849  2015-06-10 20:35:00     17               9\n",
       "1283 2015-06-12 00:45:00     23              16\n",
       "1284 2015-06-12 01:00:00     38               2\n",
       "1285 2015-06-12 11:02:00     55              15\n",
       "850  2015-06-13 02:50:00     23               7\n",
       "1288 2015-06-13 21:55:00     55               9\n",
       "1291 2015-06-14 00:30:00                      9\n",
       "1359 2015-06-14 18:20:00     31              15\n",
       "1289 2015-06-14 21:45:00     49              19\n",
       "1292 2015-06-16 01:05:00     49               6\n",
       "1301 2015-06-16 17:40:00     15              10\n",
       "1290 2015-06-16 22:01:00     29              11\n",
       "1298 2015-06-17 22:02:00     15              10\n",
       "1293 2015-06-17 23:50:00     19              19\n",
       "1294 2015-06-18 15:10:00     30               6\n",
       "852  2015-06-18 21:50:00     43               3\n",
       "851  2015-06-18 21:55:00     23               6\n",
       "1296 2015-06-20 12:02:00     21               4\n",
       "1303 2015-06-20 23:20:00     18              25\n",
       "1409 2015-06-21 00:00:00     28                \n",
       "1318 2015-06-21 10:00:00     27              15\n",
       "1299 2015-06-21 23:15:00     23               7\n",
       "853  2015-06-23 14:06:00     21               6\n",
       "1304 2015-06-23 20:20:00     52               2\n",
       "1300 2015-06-23 23:35:00     34               7\n",
       "854  2015-06-25 00:05:00     21              10\n",
       "1302 2015-06-25 16:45:00     21              20\n",
       "1310 2015-06-27 02:25:00     21               9\n",
       "1309 2015-06-27 03:40:00     32               9\n",
       "1319 2015-06-27 19:00:00     21               3\n",
       "856  2015-06-28 14:10:00     21               5\n",
       "1311 2015-06-29 03:03:00     26              14\n",
       "1314 2015-06-29 15:30:00     20              19\n",
       "1313 2015-06-30 02:30:00     49              11\n",
       "857  2015-06-30 22:45:00     22              22\n",
       "858  2015-07-01 21:50:00     50              10\n",
       "1315 2015-07-02 11:10:00     22               5\n",
       "859  2015-07-02 18:25:00     20              10\n",
       "1316 2015-07-03 00:05:00     26               9\n",
       "860  2015-07-03 01:20:00     47              22\n",
       "1317 2015-07-03 16:45:00     17               2\n",
       "1348 2015-07-04 20:25:00     28               6\n",
       "1350 2015-07-04 23:55:00      7              11\n",
       "861  2015-07-05 00:55:00     28               4\n",
       "1414 2015-07-05 02:45:00     23              17\n",
       "1326 2015-07-05 05:00:00     27              11\n",
       "862  2015-07-05 06:10:00     25              22\n",
       "863  2015-07-05 06:10:00     31              22\n",
       "1320 2015-07-05 16:00:00     48               4\n",
       "871  2015-07-06 17:30:00     16               4\n",
       "1338 2015-07-07 09:40:00     21               4\n",
       "864  2015-07-08 02:10:00     25              11\n",
       "1325 2015-07-08 13:15:00     36               6\n",
       "1375 2015-07-09 20:45:00     22               9\n",
       "1321 2015-07-09 22:05:00     17               3\n",
       "1401 2015-07-10 17:00:00     40              12\n",
       "1339 2015-07-10 23:10:00     25               6\n",
       "1322 2015-07-11 02:15:00     23               7\n",
       "1340 2015-07-11 03:15:00     26              15\n",
       "1324 2015-07-11 13:40:00     22               4\n",
       "1342 2015-07-11 14:00:00      1               3\n",
       "865  2015-07-12 17:30:00     19               4\n",
       "1345 2015-07-13 04:30:00     21              10\n",
       "1371 2015-07-15 17:45:00     16              25\n",
       "867  2015-07-15 19:50:00     21              15\n",
       "866  2015-07-15 23:58:00     23              25\n",
       "868  2015-07-17 04:25:00     34              17\n",
       "1331 2015-07-17 13:40:00     22              24\n",
       "1329 2015-07-17 17:23:00     29              17\n",
       "1330 2015-07-17 17:23:00     29              17\n",
       "1334 2015-07-18 01:00:00     25              11\n",
       "869  2015-07-18 04:20:00     20               1\n",
       "875  2015-07-18 04:30:00     29               7\n",
       "1335 2015-07-18 21:55:00     25              11\n",
       "870  2015-07-20 23:00:00     36              24\n",
       "1341 2015-07-21 21:39:00     26               2\n",
       "1616 2015-07-23 16:45:00     59              16\n",
       "872  2015-07-24 18:45:00     17              10\n",
       "1346 2015-07-25 00:50:00     32              15\n",
       "1343 2015-07-25 22:15:00     21               3\n",
       "1344 2015-07-26 02:35:00     32              11\n",
       "873  2015-07-26 02:35:00     35              11\n",
       "1362 2015-07-26 09:00:00     18               4\n",
       "874  2015-07-26 19:45:00     16              10\n",
       "1347 2015-07-27 19:20:00     21               8\n",
       "1349 2015-07-28 14:20:00     40              12\n",
       "876  2015-07-30 03:40:00     21               5\n",
       "1553 2015-07-30 23:40:00     35               4\n",
       "1354 2015-07-31 04:50:00     23               9\n",
       "1355 2015-08-01 02:45:00     21              12\n",
       "877  2015-08-02 01:03:00     22              25\n",
       "1353 2015-08-02 03:15:00     21               2\n",
       "882  2015-08-02 05:00:00     20               5\n",
       "879  2015-08-05 06:00:00     21               6\n",
       "1358 2015-08-05 23:20:00     27              15\n",
       "1361 2015-08-06 01:20:00     51              22\n",
       "1369 2015-08-06 19:00:00     22              22\n",
       "1366 2015-08-06 19:00:00     20              22\n",
       "881  2015-08-07 02:45:00     31               5\n",
       "1360 2015-08-07 23:10:00     17               7\n",
       "1367 2015-08-09 00:15:00     18              10\n",
       "880  2015-08-09 23:05:00     27              10\n",
       "883  2015-08-11 22:55:00     20               5\n",
       "1364 2015-08-12 14:20:00     14              11\n",
       "1373 2015-08-12 21:40:00   None              25\n",
       "887  2015-08-13 03:10:00     30               6\n",
       "1368 2015-08-13 14:55:00     18               9\n",
       "1365 2015-08-14 14:30:00     44               1\n",
       "884  2015-08-14 18:30:00     19              11\n",
       "1382 2015-08-15 02:00:00     27              11\n",
       "889  2015-08-15 03:05:00     50               7\n",
       "1380 2015-08-16 13:00:00     21               7\n",
       "1434 2015-08-16 21:45:00     16              10\n",
       "1433 2015-08-16 21:45:00     19              10\n",
       "1370 2015-08-17 21:00:00     32              11\n",
       "885  2015-08-17 21:30:00     37              11\n",
       "920  2015-08-19 01:35:00     31              24\n",
       "1374 2015-08-19 13:25:00     20               7\n",
       "1372 2015-08-20 01:10:00     23              25\n",
       "1377 2015-08-21 01:30:00     48              18\n",
       "1379 2015-08-21 02:08:00     20              15\n",
       "1437 2015-08-21 18:15:00     18              11\n",
       "1403 2015-08-21 22:09:00     29              22\n",
       "886  2015-08-22 04:53:00     34               8\n",
       "1376 2015-08-22 21:30:00     35               9\n",
       "888  2015-08-23 06:00:00     28              25\n",
       "1381 2015-08-23 20:35:00     42              15\n",
       "1378 2015-08-23 20:40:00     30               8\n",
       "1392 2015-08-24 18:00:00     24              15\n",
       "1384 2015-08-24 19:35:00     66               6\n",
       "1416 2015-08-24 20:20:00     24              25\n",
       "890  2015-08-25 18:00:00     25               2\n",
       "1386 2015-08-25 22:30:00     28               5\n",
       "1385 2015-08-26 10:35:00     23              11\n",
       "1698 2015-08-26 10:35:00     22              11\n",
       "1465 2015-08-26 19:30:00     23               9\n",
       "1393 2015-08-27 21:00:00     25               3\n",
       "1390 2015-08-29 04:10:00     34              11\n",
       "891  2015-08-29 23:05:00     44               7\n",
       "1389 2015-08-30 01:00:00     16               6\n",
       "1402 2015-08-30 04:05:00     28              11\n",
       "1522 2015-08-30 14:00:00     64              11\n",
       "1523 2015-08-31 11:00:00     51              17\n",
       "1412 2015-08-31 18:57:00     30               5\n",
       "1391 2015-08-31 20:35:00     35               2\n",
       "892  2015-08-31 21:35:00     25              15"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display\n",
    "\n",
    "with pd.option_context('display.max_rows', 2000):\n",
    "    display(homicides_to_day_2015[['datetime', 'Age', 'District Number']].sort_values('datetime'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2016 homicides"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datetime</th>\n",
       "      <th>Age</th>\n",
       "      <th>District Number</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>926</th>\n",
       "      <td>2016-01-01 02:00:00</td>\n",
       "      <td>24</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1506</th>\n",
       "      <td>2016-01-01 06:40:00</td>\n",
       "      <td>36</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1599</th>\n",
       "      <td>2016-01-01 21:40:00</td>\n",
       "      <td>32</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1503</th>\n",
       "      <td>2016-01-02 16:45:00</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1536</th>\n",
       "      <td>2016-01-04 08:20:00</td>\n",
       "      <td>21</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1504</th>\n",
       "      <td>2016-01-04 19:35:00</td>\n",
       "      <td>33</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1531</th>\n",
       "      <td>2016-01-05 15:35:00</td>\n",
       "      <td>16</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1530</th>\n",
       "      <td>2016-01-05 15:35:00</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>927</th>\n",
       "      <td>2016-01-05 20:20:00</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1505</th>\n",
       "      <td>2016-01-05 20:20:00</td>\n",
       "      <td>23</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1507</th>\n",
       "      <td>2016-01-06 23:30:00</td>\n",
       "      <td>31</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1508</th>\n",
       "      <td>2016-01-07 22:25:00</td>\n",
       "      <td>17</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1510</th>\n",
       "      <td>2016-01-08 19:30:00</td>\n",
       "      <td>25</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>941</th>\n",
       "      <td>2016-01-08 20:45:00</td>\n",
       "      <td>29</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>931</th>\n",
       "      <td>2016-01-08 21:00:00</td>\n",
       "      <td>21</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>928</th>\n",
       "      <td>2016-01-08 21:45:00</td>\n",
       "      <td>37</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>929</th>\n",
       "      <td>2016-01-09 14:00:00</td>\n",
       "      <td>19</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1511</th>\n",
       "      <td>2016-01-09 20:00:00</td>\n",
       "      <td>15</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1512</th>\n",
       "      <td>2016-01-09 20:30:00</td>\n",
       "      <td>17</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>930</th>\n",
       "      <td>2016-01-11 21:20:00</td>\n",
       "      <td>21</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1521</th>\n",
       "      <td>2016-01-13 09:30:00</td>\n",
       "      <td>18</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1514</th>\n",
       "      <td>2016-01-13 13:30:00</td>\n",
       "      <td>25</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1515</th>\n",
       "      <td>2016-01-13 14:50:00</td>\n",
       "      <td>25</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1557</th>\n",
       "      <td>2016-01-14 17:25:00</td>\n",
       "      <td>17</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>933</th>\n",
       "      <td>2016-01-14 18:20:00</td>\n",
       "      <td>19</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1516</th>\n",
       "      <td>2016-01-16 10:25:00</td>\n",
       "      <td>32</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>935</th>\n",
       "      <td>2016-01-16 11:50:00</td>\n",
       "      <td>27</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>934</th>\n",
       "      <td>2016-01-16 20:15:00</td>\n",
       "      <td>29</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1517</th>\n",
       "      <td>2016-01-17 18:00:00</td>\n",
       "      <td>39</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1518</th>\n",
       "      <td>2016-01-18 23:45:00</td>\n",
       "      <td>21</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1528</th>\n",
       "      <td>2016-01-20 19:16:00</td>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1526</th>\n",
       "      <td>2016-01-21 19:20:00</td>\n",
       "      <td>23</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1558</th>\n",
       "      <td>2016-01-21 22:10:00</td>\n",
       "      <td>20</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1519</th>\n",
       "      <td>2016-01-21 22:10:00</td>\n",
       "      <td>19</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>936</th>\n",
       "      <td>2016-01-23 02:20:00</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>937</th>\n",
       "      <td>2016-01-23 07:10:00</td>\n",
       "      <td>22</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>2016-01-23 22:45:00</td>\n",
       "      <td>26</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1527</th>\n",
       "      <td>2016-01-23 23:45:00</td>\n",
       "      <td>61</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1525</th>\n",
       "      <td>2016-01-24 09:20:00</td>\n",
       "      <td>26</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>939</th>\n",
       "      <td>2016-01-25 09:18:00</td>\n",
       "      <td>20</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1520</th>\n",
       "      <td>2016-01-25 11:25:00</td>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1524</th>\n",
       "      <td>2016-01-25 16:40:00</td>\n",
       "      <td>39</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>938</th>\n",
       "      <td>2016-01-25 17:00:00</td>\n",
       "      <td>19</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1559</th>\n",
       "      <td>2016-01-25 20:25:00</td>\n",
       "      <td>25</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940</th>\n",
       "      <td>2016-01-26 12:01:00</td>\n",
       "      <td>76</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1560</th>\n",
       "      <td>2016-01-26 16:00:00</td>\n",
       "      <td>33</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1561</th>\n",
       "      <td>2016-01-26 18:00:00</td>\n",
       "      <td>62</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>942</th>\n",
       "      <td>2016-01-27 14:00:00</td>\n",
       "      <td>71</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1562</th>\n",
       "      <td>2016-01-28 05:00:00</td>\n",
       "      <td>36</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>943</th>\n",
       "      <td>2016-01-29 18:20:00</td>\n",
       "      <td>20</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1563</th>\n",
       "      <td>2016-01-30 01:05:00</td>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1534</th>\n",
       "      <td>2016-01-30 02:55:00</td>\n",
       "      <td>26</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1535</th>\n",
       "      <td>2016-01-30 22:45:00</td>\n",
       "      <td>34</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1564</th>\n",
       "      <td>2016-01-31 04:40:00</td>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1621</th>\n",
       "      <td>2016-01-31 05:15:00</td>\n",
       "      <td>21</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1532</th>\n",
       "      <td>2016-01-31 05:15:00</td>\n",
       "      <td>30</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1529</th>\n",
       "      <td>2016-01-31 05:15:00</td>\n",
       "      <td>16</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1533</th>\n",
       "      <td>2016-02-01 00:30:00</td>\n",
       "      <td>42</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1565</th>\n",
       "      <td>2016-02-01 10:15:00</td>\n",
       "      <td>31</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1542</th>\n",
       "      <td>2016-02-02 17:30:00</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1543</th>\n",
       "      <td>2016-02-02 17:30:00</td>\n",
       "      <td>38</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1544</th>\n",
       "      <td>2016-02-02 17:30:00</td>\n",
       "      <td>32</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1540</th>\n",
       "      <td>2016-02-02 17:30:00</td>\n",
       "      <td>62</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1539</th>\n",
       "      <td>2016-02-02 17:30:00</td>\n",
       "      <td>58</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1541</th>\n",
       "      <td>2016-02-02 17:30:00</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>944</th>\n",
       "      <td>2016-02-02 19:40:00</td>\n",
       "      <td>34</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1537</th>\n",
       "      <td>2016-02-02 22:30:00</td>\n",
       "      <td>21</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1538</th>\n",
       "      <td>2016-02-03 08:05:00</td>\n",
       "      <td>16</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>945</th>\n",
       "      <td>2016-02-04 08:32:00</td>\n",
       "      <td>34</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1546</th>\n",
       "      <td>2016-02-04 11:04:00</td>\n",
       "      <td>55</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>948</th>\n",
       "      <td>2016-02-04 17:15:00</td>\n",
       "      <td>18</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>947</th>\n",
       "      <td>2016-02-04 19:40:00</td>\n",
       "      <td>18</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566</th>\n",
       "      <td>2016-02-05 19:25:00</td>\n",
       "      <td>25</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1600</th>\n",
       "      <td>2016-02-05 23:30:00</td>\n",
       "      <td>21</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1547</th>\n",
       "      <td>2016-02-07 01:15:00</td>\n",
       "      <td>22</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>946</th>\n",
       "      <td>2016-02-07 12:45:00</td>\n",
       "      <td>21</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1545</th>\n",
       "      <td>2016-02-08 09:50:00</td>\n",
       "      <td>35</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>2016-02-11 17:20:00</td>\n",
       "      <td>37</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>950</th>\n",
       "      <td>2016-02-13 02:07:00</td>\n",
       "      <td>23</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1548</th>\n",
       "      <td>2016-02-13 03:50:00</td>\n",
       "      <td>24</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>951</th>\n",
       "      <td>2016-02-13 05:25:00</td>\n",
       "      <td>27</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1864</th>\n",
       "      <td>2016-02-13 23:15:00</td>\n",
       "      <td>39</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>952</th>\n",
       "      <td>2016-02-14 01:00:00</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>953</th>\n",
       "      <td>2016-02-14 10:50:00</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>2016-02-14 10:50:00</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>954</th>\n",
       "      <td>2016-02-16 09:00:00</td>\n",
       "      <td>21</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>2016-02-16 18:50:00</td>\n",
       "      <td>28</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>955</th>\n",
       "      <td>2016-02-17 20:00:00</td>\n",
       "      <td>20</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1549</th>\n",
       "      <td>2016-02-18 08:40:00</td>\n",
       "      <td>28</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1550</th>\n",
       "      <td>2016-02-19 23:20:00</td>\n",
       "      <td>20</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1685</th>\n",
       "      <td>2016-02-20 15:00:00</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1552</th>\n",
       "      <td>2016-02-20 18:00:00</td>\n",
       "      <td>35</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1620</th>\n",
       "      <td>2016-02-20 22:05:00</td>\n",
       "      <td>33</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>956</th>\n",
       "      <td>2016-02-21 02:30:00</td>\n",
       "      <td>25</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1554</th>\n",
       "      <td>2016-02-22 07:55:00</td>\n",
       "      <td>58</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>957</th>\n",
       "      <td>2016-02-22 09:45:00</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>961</th>\n",
       "      <td>2016-02-22 13:30:00</td>\n",
       "      <td>50</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1555</th>\n",
       "      <td>2016-02-24 07:35:00</td>\n",
       "      <td>39</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>958</th>\n",
       "      <td>2016-02-24 18:12:00</td>\n",
       "      <td>16</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>960</th>\n",
       "      <td>2016-02-24 18:24:00</td>\n",
       "      <td>23</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1556</th>\n",
       "      <td>2016-02-26 21:45:00</td>\n",
       "      <td>30</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>959</th>\n",
       "      <td>2016-02-27 15:45:00</td>\n",
       "      <td>26</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1609</th>\n",
       "      <td>2016-03-01 17:47:00</td>\n",
       "      <td>25</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>962</th>\n",
       "      <td>2016-03-01 18:15:00</td>\n",
       "      <td>20</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>964</th>\n",
       "      <td>2016-03-02 13:55:00</td>\n",
       "      <td>22</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>965</th>\n",
       "      <td>2016-03-02 16:30:00</td>\n",
       "      <td>31</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1567</th>\n",
       "      <td>2016-03-02 19:05:00</td>\n",
       "      <td>45</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1569</th>\n",
       "      <td>2016-03-04 01:15:00</td>\n",
       "      <td>22</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1568</th>\n",
       "      <td>2016-03-04 21:30:00</td>\n",
       "      <td>44</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>963</th>\n",
       "      <td>2016-03-07 11:05:00</td>\n",
       "      <td>23</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>968</th>\n",
       "      <td>2016-03-08 18:40:00</td>\n",
       "      <td>42</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1585</th>\n",
       "      <td>2016-03-08 19:50:00</td>\n",
       "      <td>31</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1605</th>\n",
       "      <td>2016-03-09 00:10:00</td>\n",
       "      <td>21</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1570</th>\n",
       "      <td>2016-03-09 18:35:00</td>\n",
       "      <td>19</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1571</th>\n",
       "      <td>2016-03-09 20:40:00</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>2016-03-10 04:50:00</td>\n",
       "      <td>37</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1579</th>\n",
       "      <td>2016-03-10 16:53:00</td>\n",
       "      <td>27</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>966</th>\n",
       "      <td>2016-03-11 09:20:00</td>\n",
       "      <td>26</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1580</th>\n",
       "      <td>2016-03-11 14:40:00</td>\n",
       "      <td>23</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1573</th>\n",
       "      <td>2016-03-11 17:45:00</td>\n",
       "      <td>20</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>2016-03-11 20:10:00</td>\n",
       "      <td>24</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1572</th>\n",
       "      <td>2016-03-12 03:29:00</td>\n",
       "      <td>22</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>973</th>\n",
       "      <td>2016-03-13 06:40:00</td>\n",
       "      <td>18</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>967</th>\n",
       "      <td>2016-03-13 19:50:00</td>\n",
       "      <td>16</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1586</th>\n",
       "      <td>2016-03-14 21:45:00</td>\n",
       "      <td>29</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1587</th>\n",
       "      <td>2016-03-15 19:30:00</td>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1575</th>\n",
       "      <td>2016-03-15 22:40:00</td>\n",
       "      <td>25</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1697</th>\n",
       "      <td>2016-03-15 23:05:00</td>\n",
       "      <td>23</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1576</th>\n",
       "      <td>2016-03-15 23:30:00</td>\n",
       "      <td>31</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1581</th>\n",
       "      <td>2016-03-17 19:10:00</td>\n",
       "      <td>16</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974</th>\n",
       "      <td>2016-03-18 00:00:00</td>\n",
       "      <td>23</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1588</th>\n",
       "      <td>2016-03-18 13:50:00</td>\n",
       "      <td>42</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1578</th>\n",
       "      <td>2016-03-18 17:51:00</td>\n",
       "      <td>24</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1660</th>\n",
       "      <td>2016-03-20 05:00:00</td>\n",
       "      <td>27</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1582</th>\n",
       "      <td>2016-03-20 14:45:00</td>\n",
       "      <td>23</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>2016-03-21 20:50:00</td>\n",
       "      <td>39</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>2016-03-22 06:15:00</td>\n",
       "      <td>34</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976</th>\n",
       "      <td>2016-03-22 11:00:00</td>\n",
       "      <td>24</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>969</th>\n",
       "      <td>2016-03-23 00:25:00</td>\n",
       "      <td>19</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1589</th>\n",
       "      <td>2016-03-23 00:30:00</td>\n",
       "      <td>35</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>2016-03-23 16:25:00</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>971</th>\n",
       "      <td>2016-03-25 01:40:00</td>\n",
       "      <td>29</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>2016-03-26 14:10:00</td>\n",
       "      <td>27</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>970</th>\n",
       "      <td>2016-03-29 09:26:00</td>\n",
       "      <td>19</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>972</th>\n",
       "      <td>2016-03-30 01:45:00</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1584</th>\n",
       "      <td>2016-03-30 17:09:00</td>\n",
       "      <td>22</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>975</th>\n",
       "      <td>2016-03-30 18:00:00</td>\n",
       "      <td>25</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1583</th>\n",
       "      <td>2016-03-31 01:45:00</td>\n",
       "      <td>32</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1751</th>\n",
       "      <td>2016-03-31 16:04:00</td>\n",
       "      <td>43</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1750</th>\n",
       "      <td>2016-03-31 16:04:00</td>\n",
       "      <td>23</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1696</th>\n",
       "      <td>2016-03-31 22:30:00</td>\n",
       "      <td>28</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1613</th>\n",
       "      <td>2016-04-01 17:00:00</td>\n",
       "      <td>56</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1590</th>\n",
       "      <td>2016-04-02 23:45:00</td>\n",
       "      <td>51</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1591</th>\n",
       "      <td>2016-04-04 13:15:00</td>\n",
       "      <td>17</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>2016-04-05 19:35:00</td>\n",
       "      <td>35</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>977</th>\n",
       "      <td>2016-04-06 01:45:00</td>\n",
       "      <td>32</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>2016-04-06 11:30:00</td>\n",
       "      <td>39</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1617</th>\n",
       "      <td>2016-04-07 02:10:00</td>\n",
       "      <td>30</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1594</th>\n",
       "      <td>2016-04-07 15:30:00</td>\n",
       "      <td>18</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1593</th>\n",
       "      <td>2016-04-07 15:30:00</td>\n",
       "      <td>23</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1592</th>\n",
       "      <td>2016-04-07 23:50:00</td>\n",
       "      <td>23</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1597</th>\n",
       "      <td>2016-04-08 01:05:00</td>\n",
       "      <td>65</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1614</th>\n",
       "      <td>2016-04-08 19:03:00</td>\n",
       "      <td>23</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>2016-04-10 04:50:00</td>\n",
       "      <td>28</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1595</th>\n",
       "      <td>2016-04-10 11:20:00</td>\n",
       "      <td>18</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>978</th>\n",
       "      <td>2016-04-11 19:30:00</td>\n",
       "      <td>37</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1618</th>\n",
       "      <td>2016-04-11 19:30:00</td>\n",
       "      <td>19</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1596</th>\n",
       "      <td>2016-04-11 19:40:00</td>\n",
       "      <td>16</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1601</th>\n",
       "      <td>2016-04-15 00:10:00</td>\n",
       "      <td>25</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1604</th>\n",
       "      <td>2016-04-15 23:20:00</td>\n",
       "      <td>32</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1603</th>\n",
       "      <td>2016-04-15 23:20:00</td>\n",
       "      <td>34</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1602</th>\n",
       "      <td>2016-04-17 01:25:00</td>\n",
       "      <td>33</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1611</th>\n",
       "      <td>2016-04-19 02:20:00</td>\n",
       "      <td>23</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>2016-04-19 02:35:00</td>\n",
       "      <td>37</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1610</th>\n",
       "      <td>2016-04-19 23:10:00</td>\n",
       "      <td>18</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1612</th>\n",
       "      <td>2016-04-21 20:15:00</td>\n",
       "      <td>53</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1628</th>\n",
       "      <td>2016-04-21 22:45:00</td>\n",
       "      <td>24</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1645</th>\n",
       "      <td>2016-04-22 01:30:00</td>\n",
       "      <td>42</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>979</th>\n",
       "      <td>2016-04-23 01:14:00</td>\n",
       "      <td>22</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>2016-04-23 21:00:00</td>\n",
       "      <td>23</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>980</th>\n",
       "      <td>2016-04-24 00:25:00</td>\n",
       "      <td>24</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1615</th>\n",
       "      <td>2016-04-24 06:23:00</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1619</th>\n",
       "      <td>2016-04-24 23:10:00</td>\n",
       "      <td>27</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1637</th>\n",
       "      <td>2016-04-24 23:10:00</td>\n",
       "      <td>38</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>2016-04-25 17:00:00</td>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>981</th>\n",
       "      <td>2016-04-26 06:00:00</td>\n",
       "      <td>27</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1635</th>\n",
       "      <td>2016-04-26 16:35:00</td>\n",
       "      <td>24</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1634</th>\n",
       "      <td>2016-04-29 20:00:00</td>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>2016-04-30 02:05:00</td>\n",
       "      <td>30</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1624</th>\n",
       "      <td>2016-04-30 04:35:00</td>\n",
       "      <td>19</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1622</th>\n",
       "      <td>2016-04-30 13:20:00</td>\n",
       "      <td>36</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1623</th>\n",
       "      <td>2016-04-30 22:45:00</td>\n",
       "      <td>42</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1632</th>\n",
       "      <td>2016-05-02 00:55:00</td>\n",
       "      <td>21</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1737</th>\n",
       "      <td>2016-05-02 18:45:00</td>\n",
       "      <td>13</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>2016-05-02 21:35:00</td>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1633</th>\n",
       "      <td>2016-05-02 22:30:00</td>\n",
       "      <td>28</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1625</th>\n",
       "      <td>2016-05-03 13:50:00</td>\n",
       "      <td>29</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1626</th>\n",
       "      <td>2016-05-03 20:30:00</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>2016-05-03 21:10:00</td>\n",
       "      <td>21</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1627</th>\n",
       "      <td>2016-05-03 23:40:00</td>\n",
       "      <td>43</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>2016-05-05 19:50:00</td>\n",
       "      <td>46</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1636</th>\n",
       "      <td>2016-05-06 00:20:00</td>\n",
       "      <td>25</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1630</th>\n",
       "      <td>2016-05-06 10:30:00</td>\n",
       "      <td>16</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1629</th>\n",
       "      <td>2016-05-06 20:10:00</td>\n",
       "      <td>29</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>2016-05-07 01:41:00</td>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1631</th>\n",
       "      <td>2016-05-07 20:08:00</td>\n",
       "      <td>58</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>2016-05-07 22:50:00</td>\n",
       "      <td>27</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>2016-05-08 05:10:00</td>\n",
       "      <td>35</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>2016-05-08 08:45:00</td>\n",
       "      <td>21</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>2016-05-08 12:55:00</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>2016-05-08 15:20:00</td>\n",
       "      <td>16</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1695</th>\n",
       "      <td>2016-05-09 00:30:00</td>\n",
       "      <td>51</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1684</th>\n",
       "      <td>2016-05-09 10:30:00</td>\n",
       "      <td>26</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1672</th>\n",
       "      <td>2016-05-09 11:50:00</td>\n",
       "      <td>26</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1639</th>\n",
       "      <td>2016-05-09 11:50:00</td>\n",
       "      <td>35</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1638</th>\n",
       "      <td>2016-05-09 18:45:00</td>\n",
       "      <td>18</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>2016-05-10 17:50:00</td>\n",
       "      <td>20</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1694</th>\n",
       "      <td>2016-05-11 00:10:00</td>\n",
       "      <td>56</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>2016-05-11 23:20:00</td>\n",
       "      <td>50</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>2016-05-11 23:20:00</td>\n",
       "      <td>26</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>2016-05-11 23:20:00</td>\n",
       "      <td>26</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>2016-05-12 00:40:00</td>\n",
       "      <td>22</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2016-05-13 11:55:00</td>\n",
       "      <td>47</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1671</th>\n",
       "      <td>2016-05-13 23:45:00</td>\n",
       "      <td>21</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>2016-05-14 15:42:00</td>\n",
       "      <td>20</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>2016-05-14 15:45:00</td>\n",
       "      <td>32</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1683</th>\n",
       "      <td>2016-05-14 19:30:00</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1661</th>\n",
       "      <td>2016-05-15 00:00:00</td>\n",
       "      <td>36</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>2016-05-15 04:55:00</td>\n",
       "      <td>23</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1693</th>\n",
       "      <td>2016-05-15 07:15:00</td>\n",
       "      <td>35</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2016-05-15 14:33:00</td>\n",
       "      <td>35</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2016-05-15 21:00:00</td>\n",
       "      <td>17</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>2016-05-16 20:35:00</td>\n",
       "      <td>37</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1643</th>\n",
       "      <td>2016-05-16 22:50:00</td>\n",
       "      <td>28</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1670</th>\n",
       "      <td>2016-05-16 23:10:00</td>\n",
       "      <td>24</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1644</th>\n",
       "      <td>2016-05-17 21:30:00</td>\n",
       "      <td>38</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>2016-05-18 17:30:00</td>\n",
       "      <td>22</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>2016-05-18 21:35:00</td>\n",
       "      <td>28</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2016-05-19 01:12:00</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1640</th>\n",
       "      <td>2016-05-20 05:30:00</td>\n",
       "      <td>24</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1703</th>\n",
       "      <td>2016-05-20 15:58:00</td>\n",
       "      <td>49</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1641</th>\n",
       "      <td>2016-05-21 00:20:00</td>\n",
       "      <td>30</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>2016-05-21 03:00:00</td>\n",
       "      <td>35</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1747</th>\n",
       "      <td>2016-05-21 16:36:00</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1669</th>\n",
       "      <td>2016-05-21 19:30:00</td>\n",
       "      <td>26</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1642</th>\n",
       "      <td>2016-05-22 16:00:00</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1668</th>\n",
       "      <td>2016-05-24 20:10:00</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1646</th>\n",
       "      <td>2016-05-26 15:10:00</td>\n",
       "      <td>38</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2016-05-27 00:15:00</td>\n",
       "      <td>22</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2016-05-27 07:30:00</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2016-05-27 14:30:00</td>\n",
       "      <td>39</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1648</th>\n",
       "      <td>2016-05-27 23:20:00</td>\n",
       "      <td>25</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1649</th>\n",
       "      <td>2016-05-28 01:30:00</td>\n",
       "      <td>15</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1654</th>\n",
       "      <td>2016-05-28 05:15:00</td>\n",
       "      <td>25</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1647</th>\n",
       "      <td>2016-05-28 17:20:00</td>\n",
       "      <td>27</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1651</th>\n",
       "      <td>2016-05-29 01:30:00</td>\n",
       "      <td>32</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2016-05-30 23:00:00</td>\n",
       "      <td>39</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2016-05-30 23:00:00</td>\n",
       "      <td>44</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1748</th>\n",
       "      <td>2016-05-31 03:55:00</td>\n",
       "      <td>84</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1656</th>\n",
       "      <td>2016-05-31 22:15:00</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1650</th>\n",
       "      <td>2016-06-01 08:45:00</td>\n",
       "      <td>16</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1653</th>\n",
       "      <td>2016-06-01 17:05:00</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1657</th>\n",
       "      <td>2016-06-01 21:00:00</td>\n",
       "      <td>19</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2016-06-02 22:50:00</td>\n",
       "      <td>35</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1652</th>\n",
       "      <td>2016-06-03 11:35:00</td>\n",
       "      <td>16</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2016-06-03 18:45:00</td>\n",
       "      <td>20</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1686</th>\n",
       "      <td>2016-06-04 00:00:00</td>\n",
       "      <td>2 mo.</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2016-06-04 00:00:00</td>\n",
       "      <td>32</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2016-06-04 02:50:00</td>\n",
       "      <td>35</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2016-06-04 03:15:00</td>\n",
       "      <td>38</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1655</th>\n",
       "      <td>2016-06-04 18:02:00</td>\n",
       "      <td>21</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2016-06-05 00:50:00</td>\n",
       "      <td>21</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1689</th>\n",
       "      <td>2016-06-05 06:05:00</td>\n",
       "      <td>27</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1658</th>\n",
       "      <td>2016-06-05 23:30:00</td>\n",
       "      <td>43</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1659</th>\n",
       "      <td>2016-06-06 04:00:00</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1821</th>\n",
       "      <td>2016-06-06 07:55:00</td>\n",
       "      <td>52</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2016-06-08 13:40:00</td>\n",
       "      <td>34</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2016-06-08 20:08:00</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>2016-06-09 17:30:00</td>\n",
       "      <td>62</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1690</th>\n",
       "      <td>2016-06-09 19:45:00</td>\n",
       "      <td>36</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2016-06-10 20:45:00</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1664</th>\n",
       "      <td>2016-06-10 21:30:00</td>\n",
       "      <td>27</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2016-06-11 01:30:00</td>\n",
       "      <td>18</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1662</th>\n",
       "      <td>2016-06-11 22:20:00</td>\n",
       "      <td>17</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1692</th>\n",
       "      <td>2016-06-12 01:00:00</td>\n",
       "      <td>33</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>2016-06-12 01:00:00</td>\n",
       "      <td>42</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1663</th>\n",
       "      <td>2016-06-12 08:35:00</td>\n",
       "      <td>32</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1665</th>\n",
       "      <td>2016-06-13 11:45:00</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1666</th>\n",
       "      <td>2016-06-13 21:30:00</td>\n",
       "      <td>29</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1682</th>\n",
       "      <td>2016-06-13 22:45:00</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1667</th>\n",
       "      <td>2016-06-14 03:40:00</td>\n",
       "      <td>35</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>2016-06-14 16:00:00</td>\n",
       "      <td>17</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>2016-06-14 19:00:00</td>\n",
       "      <td>22</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1673</th>\n",
       "      <td>2016-06-15 20:45:00</td>\n",
       "      <td>28</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1674</th>\n",
       "      <td>2016-06-16 12:30:00</td>\n",
       "      <td>25</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1675</th>\n",
       "      <td>2016-06-16 16:05:00</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1691</th>\n",
       "      <td>2016-06-16 21:15:00</td>\n",
       "      <td>31</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1687</th>\n",
       "      <td>2016-06-16 22:15:00</td>\n",
       "      <td>45</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1679</th>\n",
       "      <td>2016-06-17 21:06:00</td>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1678</th>\n",
       "      <td>2016-06-17 22:30:00</td>\n",
       "      <td>22</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1677</th>\n",
       "      <td>2016-06-18 01:30:00</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1701</th>\n",
       "      <td>2016-06-18 03:40:00</td>\n",
       "      <td>24</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1676</th>\n",
       "      <td>2016-06-18 06:30:00</td>\n",
       "      <td>23</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>982</th>\n",
       "      <td>2016-06-18 09:49:00</td>\n",
       "      <td>65</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1700</th>\n",
       "      <td>2016-06-18 18:05:00</td>\n",
       "      <td>23</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>2016-06-18 20:20:00</td>\n",
       "      <td>33</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1680</th>\n",
       "      <td>2016-06-19 13:10:00</td>\n",
       "      <td>21</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1681</th>\n",
       "      <td>2016-06-19 18:50:00</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1713</th>\n",
       "      <td>2016-06-19 22:40:00</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1699</th>\n",
       "      <td>2016-06-20 00:48:00</td>\n",
       "      <td>34</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1714</th>\n",
       "      <td>2016-06-20 01:30:00</td>\n",
       "      <td>22</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1688</th>\n",
       "      <td>2016-06-22 00:30:00</td>\n",
       "      <td>35</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1709</th>\n",
       "      <td>2016-06-23 12:38:00</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1702</th>\n",
       "      <td>2016-06-23 22:00:00</td>\n",
       "      <td>16</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1715</th>\n",
       "      <td>2016-06-23 22:30:00</td>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1711</th>\n",
       "      <td>2016-06-24 16:30:00</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>984</th>\n",
       "      <td>2016-06-24 21:00:00</td>\n",
       "      <td>23</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1710</th>\n",
       "      <td>2016-06-24 22:00:00</td>\n",
       "      <td>26</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1708</th>\n",
       "      <td>2016-06-25 18:50:00</td>\n",
       "      <td>67</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1712</th>\n",
       "      <td>2016-06-25 19:15:00</td>\n",
       "      <td>20</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1704</th>\n",
       "      <td>2016-06-26 01:30:00</td>\n",
       "      <td>55</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1706</th>\n",
       "      <td>2016-06-26 04:27:00</td>\n",
       "      <td>30</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1705</th>\n",
       "      <td>2016-06-26 05:10:00</td>\n",
       "      <td>41</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>983</th>\n",
       "      <td>2016-06-27 14:05:00</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1755</th>\n",
       "      <td>2016-06-27 14:40:00</td>\n",
       "      <td>60</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1717</th>\n",
       "      <td>2016-06-27 21:25:00</td>\n",
       "      <td>24</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1707</th>\n",
       "      <td>2016-06-27 23:25:00</td>\n",
       "      <td>44</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1716</th>\n",
       "      <td>2016-06-28 00:55:00</td>\n",
       "      <td>30</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1718</th>\n",
       "      <td>2016-06-29 02:05:00</td>\n",
       "      <td>18</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>985</th>\n",
       "      <td>2016-06-29 12:20:00</td>\n",
       "      <td>40</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1725</th>\n",
       "      <td>2016-06-29 20:09:00</td>\n",
       "      <td>27</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1723</th>\n",
       "      <td>2016-06-30 21:45:00</td>\n",
       "      <td>37</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1722</th>\n",
       "      <td>2016-07-01 00:03:00</td>\n",
       "      <td>27</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1719</th>\n",
       "      <td>2016-07-01 06:20:00</td>\n",
       "      <td>34</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1721</th>\n",
       "      <td>2016-07-02 03:20:00</td>\n",
       "      <td>32</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1720</th>\n",
       "      <td>2016-07-02 05:00:00</td>\n",
       "      <td>33</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1724</th>\n",
       "      <td>2016-07-03 22:50:00</td>\n",
       "      <td>24</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1790</th>\n",
       "      <td>2016-07-04 01:50:00</td>\n",
       "      <td>30</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1789</th>\n",
       "      <td>2016-07-04 02:10:00</td>\n",
       "      <td>23</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1727</th>\n",
       "      <td>2016-07-04 21:20:00</td>\n",
       "      <td>40</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1728</th>\n",
       "      <td>2016-07-05 01:35:00</td>\n",
       "      <td>34</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1726</th>\n",
       "      <td>2016-07-05 13:05:00</td>\n",
       "      <td>25</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1736</th>\n",
       "      <td>2016-07-05 17:00:00</td>\n",
       "      <td>30</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1729</th>\n",
       "      <td>2016-07-06 03:44:00</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1730</th>\n",
       "      <td>2016-07-06 22:35:00</td>\n",
       "      <td>24</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1731</th>\n",
       "      <td>2016-07-08 21:30:00</td>\n",
       "      <td>22</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1732</th>\n",
       "      <td>2016-07-08 23:40:00</td>\n",
       "      <td>59</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1733</th>\n",
       "      <td>2016-07-09 22:45:00</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1734</th>\n",
       "      <td>2016-07-10 22:15:00</td>\n",
       "      <td>33</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1735</th>\n",
       "      <td>2016-07-12 06:10:00</td>\n",
       "      <td>34</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1753</th>\n",
       "      <td>2016-07-12 11:40:00</td>\n",
       "      <td>17</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1739</th>\n",
       "      <td>2016-07-12 22:50:00</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>986</th>\n",
       "      <td>2016-07-12 22:50:00</td>\n",
       "      <td>34</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1744</th>\n",
       "      <td>2016-07-13 15:40:00</td>\n",
       "      <td>21</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1741</th>\n",
       "      <td>2016-07-13 20:30:00</td>\n",
       "      <td>32</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1740</th>\n",
       "      <td>2016-07-14 00:40:00</td>\n",
       "      <td>45</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>988</th>\n",
       "      <td>2016-07-14 01:59:00</td>\n",
       "      <td>25</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1759</th>\n",
       "      <td>2016-07-15 15:00:00</td>\n",
       "      <td>19</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1758</th>\n",
       "      <td>2016-07-16 09:27:00</td>\n",
       "      <td>18</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1754</th>\n",
       "      <td>2016-07-16 20:45:00</td>\n",
       "      <td>19</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1752</th>\n",
       "      <td>2016-07-16 23:00:00</td>\n",
       "      <td>23</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1756</th>\n",
       "      <td>2016-07-17 00:50:00</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1757</th>\n",
       "      <td>2016-07-17 04:45:00</td>\n",
       "      <td>38</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1743</th>\n",
       "      <td>2016-07-17 11:25:00</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1742</th>\n",
       "      <td>2016-07-17 19:40:00</td>\n",
       "      <td>20</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1749</th>\n",
       "      <td>2016-07-17 23:50:00</td>\n",
       "      <td>18</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1766</th>\n",
       "      <td>2016-07-18 20:55:00</td>\n",
       "      <td>20</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1746</th>\n",
       "      <td>2016-07-18 21:25:00</td>\n",
       "      <td>17</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1791</th>\n",
       "      <td>2016-07-18 23:45:00</td>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1774</th>\n",
       "      <td>2016-07-18 23:48:00</td>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1827</th>\n",
       "      <td>2016-07-19 18:40:00</td>\n",
       "      <td>38</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1792</th>\n",
       "      <td>2016-07-20 00:24:00</td>\n",
       "      <td>26</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1771</th>\n",
       "      <td>2016-07-20 00:45:00</td>\n",
       "      <td>37</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1793</th>\n",
       "      <td>2016-07-21 19:54:00</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1760</th>\n",
       "      <td>2016-07-21 20:15:00</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1768</th>\n",
       "      <td>2016-07-21 21:15:00</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1795</th>\n",
       "      <td>2016-07-22 00:00:00</td>\n",
       "      <td>26</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1764</th>\n",
       "      <td>2016-07-22 16:30:00</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1761</th>\n",
       "      <td>2016-07-22 18:15:00</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1762</th>\n",
       "      <td>2016-07-23 13:30:00</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1763</th>\n",
       "      <td>2016-07-24 02:10:00</td>\n",
       "      <td>20</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1794</th>\n",
       "      <td>2016-07-24 09:09:00</td>\n",
       "      <td>2 mo.</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1765</th>\n",
       "      <td>2016-07-24 15:30:00</td>\n",
       "      <td>19</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1776</th>\n",
       "      <td>2016-07-25 13:30:00</td>\n",
       "      <td>26</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1773</th>\n",
       "      <td>2016-07-25 17:25:00</td>\n",
       "      <td>43</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1767</th>\n",
       "      <td>2016-07-26 11:10:00</td>\n",
       "      <td>18</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1769</th>\n",
       "      <td>2016-07-27 00:05:00</td>\n",
       "      <td>23</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1772</th>\n",
       "      <td>2016-07-27 13:30:00</td>\n",
       "      <td>32</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1775</th>\n",
       "      <td>2016-07-27 14:30:00</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1788</th>\n",
       "      <td>2016-07-28 00:18:00</td>\n",
       "      <td>34</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1770</th>\n",
       "      <td>2016-07-28 00:18:00</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1777</th>\n",
       "      <td>2016-07-28 19:30:00</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1781</th>\n",
       "      <td>2016-07-28 22:15:00</td>\n",
       "      <td>23</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>2016-07-28 22:40:00</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1784</th>\n",
       "      <td>2016-07-29 06:00:00</td>\n",
       "      <td>41</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1785</th>\n",
       "      <td>2016-07-29 14:45:00</td>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1778</th>\n",
       "      <td>2016-07-29 17:59:00</td>\n",
       "      <td>17</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1779</th>\n",
       "      <td>2016-07-29 19:18:00</td>\n",
       "      <td>21</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1780</th>\n",
       "      <td>2016-07-30 03:20:00</td>\n",
       "      <td>27</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1782</th>\n",
       "      <td>2016-07-30 19:10:00</td>\n",
       "      <td>21</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1783</th>\n",
       "      <td>2016-07-31 01:00:00</td>\n",
       "      <td>27</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1787</th>\n",
       "      <td>2016-07-31 14:05:00</td>\n",
       "      <td>40</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1786</th>\n",
       "      <td>2016-07-31 17:30:00</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1862</th>\n",
       "      <td>2016-08-01 14:10:00</td>\n",
       "      <td>28</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1796</th>\n",
       "      <td>2016-08-02 00:30:00</td>\n",
       "      <td>29</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1798</th>\n",
       "      <td>2016-08-02 15:50:00</td>\n",
       "      <td>28</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1809</th>\n",
       "      <td>2016-08-03 05:00:00</td>\n",
       "      <td>51</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1797</th>\n",
       "      <td>2016-08-03 14:20:00</td>\n",
       "      <td>54</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1799</th>\n",
       "      <td>2016-08-03 15:25:00</td>\n",
       "      <td>57</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1800</th>\n",
       "      <td>2016-08-04 02:35:00</td>\n",
       "      <td>21</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1845</th>\n",
       "      <td>2016-08-04 21:30:00</td>\n",
       "      <td>23</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1807</th>\n",
       "      <td>2016-08-05 12:15:00</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1801</th>\n",
       "      <td>2016-08-05 12:40:00</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1802</th>\n",
       "      <td>2016-08-06 00:30:00</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1803</th>\n",
       "      <td>2016-08-06 03:10:00</td>\n",
       "      <td>32</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1808</th>\n",
       "      <td>2016-08-06 04:25:00</td>\n",
       "      <td>29</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1804</th>\n",
       "      <td>2016-08-06 23:00:00</td>\n",
       "      <td>26</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1806</th>\n",
       "      <td>2016-08-07 02:19:00</td>\n",
       "      <td>17</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1805</th>\n",
       "      <td>2016-08-07 02:20:00</td>\n",
       "      <td>43</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1815</th>\n",
       "      <td>2016-08-08 02:25:00</td>\n",
       "      <td>43</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1814</th>\n",
       "      <td>2016-08-08 02:27:00</td>\n",
       "      <td>25</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1812</th>\n",
       "      <td>2016-08-08 13:20:00</td>\n",
       "      <td>61</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1838</th>\n",
       "      <td>2016-08-08 19:25:00</td>\n",
       "      <td>22</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1811</th>\n",
       "      <td>2016-08-08 19:50:00</td>\n",
       "      <td>24</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1810</th>\n",
       "      <td>2016-08-08 20:45:00</td>\n",
       "      <td>28</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1816</th>\n",
       "      <td>2016-08-08 21:25:00</td>\n",
       "      <td>28</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1813</th>\n",
       "      <td>2016-08-08 22:18:00</td>\n",
       "      <td>27</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1817</th>\n",
       "      <td>2016-08-08 23:17:00</td>\n",
       "      <td>44</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1818</th>\n",
       "      <td>2016-08-09 14:20:00</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1820</th>\n",
       "      <td>2016-08-09 20:10:00</td>\n",
       "      <td>32</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1819</th>\n",
       "      <td>2016-08-09 20:30:00</td>\n",
       "      <td>25</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1826</th>\n",
       "      <td>2016-08-09 22:55:00</td>\n",
       "      <td>30</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1822</th>\n",
       "      <td>2016-08-10 22:00:00</td>\n",
       "      <td>22</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1823</th>\n",
       "      <td>2016-08-10 22:20:00</td>\n",
       "      <td>22</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>2016-08-11 01:55:00</td>\n",
       "      <td>50</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1825</th>\n",
       "      <td>2016-08-11 14:27:00</td>\n",
       "      <td>22</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1824</th>\n",
       "      <td>2016-08-11 23:55:00</td>\n",
       "      <td>37</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1835</th>\n",
       "      <td>2016-08-12 13:09:00</td>\n",
       "      <td>28</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1828</th>\n",
       "      <td>2016-08-12 22:15:00</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1837</th>\n",
       "      <td>2016-08-12 23:35:00</td>\n",
       "      <td>30</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1833</th>\n",
       "      <td>2016-08-13 01:40:00</td>\n",
       "      <td>23</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1832</th>\n",
       "      <td>2016-08-13 13:00:00</td>\n",
       "      <td>27</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1831</th>\n",
       "      <td>2016-08-14 00:04:00</td>\n",
       "      <td>19</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1830</th>\n",
       "      <td>2016-08-14 02:18:00</td>\n",
       "      <td>31</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1829</th>\n",
       "      <td>2016-08-14 03:03:00</td>\n",
       "      <td>31</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1839</th>\n",
       "      <td>2016-08-14 05:11:00</td>\n",
       "      <td>28</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1840</th>\n",
       "      <td>2016-08-14 09:00:00</td>\n",
       "      <td>21</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1843</th>\n",
       "      <td>2016-08-14 10:45:00</td>\n",
       "      <td>2 days</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1834</th>\n",
       "      <td>2016-08-15 04:00:00</td>\n",
       "      <td>33</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1844</th>\n",
       "      <td>2016-08-16 03:30:00</td>\n",
       "      <td>19</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1836</th>\n",
       "      <td>2016-08-16 03:55:00</td>\n",
       "      <td>21</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1842</th>\n",
       "      <td>2016-08-16 17:15:00</td>\n",
       "      <td>26</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1841</th>\n",
       "      <td>2016-08-16 22:00:00</td>\n",
       "      <td>40</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>2016-08-16 22:45:00</td>\n",
       "      <td>37</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1861</th>\n",
       "      <td>2016-08-17 23:50:00</td>\n",
       "      <td>28</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1856</th>\n",
       "      <td>2016-08-19 08:40:00</td>\n",
       "      <td>24</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1846</th>\n",
       "      <td>2016-08-19 17:35:00</td>\n",
       "      <td>26</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1848</th>\n",
       "      <td>2016-08-20 20:10:00</td>\n",
       "      <td>20</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1860</th>\n",
       "      <td>2016-08-20 22:30:00</td>\n",
       "      <td>66</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1847</th>\n",
       "      <td>2016-08-21 00:05:00</td>\n",
       "      <td>24</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1857</th>\n",
       "      <td>2016-08-21 02:50:00</td>\n",
       "      <td>25</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1849</th>\n",
       "      <td>2016-08-21 04:00:00</td>\n",
       "      <td>14</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1868</th>\n",
       "      <td>2016-08-21 06:45:00</td>\n",
       "      <td>26</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1851</th>\n",
       "      <td>2016-08-21 16:15:00</td>\n",
       "      <td>22</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1850</th>\n",
       "      <td>2016-08-21 16:30:00</td>\n",
       "      <td>33</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1863</th>\n",
       "      <td>2016-08-22 10:05:00</td>\n",
       "      <td>68</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1879</th>\n",
       "      <td>2016-08-23 01:39:00</td>\n",
       "      <td></td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1883</th>\n",
       "      <td>2016-08-23 01:39:00</td>\n",
       "      <td>56</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1853</th>\n",
       "      <td>2016-08-23 01:39:00</td>\n",
       "      <td>3 mos.</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1852</th>\n",
       "      <td>2016-08-23 01:39:00</td>\n",
       "      <td></td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1859</th>\n",
       "      <td>2016-08-23 15:20:00</td>\n",
       "      <td>42</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1854</th>\n",
       "      <td>2016-08-23 18:00:00</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1878</th>\n",
       "      <td>2016-08-23 18:55:00</td>\n",
       "      <td>22</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1877</th>\n",
       "      <td>2016-08-23 21:40:00</td>\n",
       "      <td>37</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1876</th>\n",
       "      <td>2016-08-24 04:10:00</td>\n",
       "      <td>24</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1875</th>\n",
       "      <td>2016-08-24 10:54:00</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1867</th>\n",
       "      <td>2016-08-26 15:30:00</td>\n",
       "      <td>32</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2016-08-26 18:12:00</td>\n",
       "      <td>35</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>2016-08-26 18:15:00</td>\n",
       "      <td>55</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1866</th>\n",
       "      <td>2016-08-27 03:35:00</td>\n",
       "      <td>21</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1869</th>\n",
       "      <td>2016-08-27 12:15:00</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1870</th>\n",
       "      <td>2016-08-28 00:15:00</td>\n",
       "      <td>30</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1880</th>\n",
       "      <td>2016-08-28 00:35:00</td>\n",
       "      <td>38</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>2016-08-28 10:05:00</td>\n",
       "      <td>45</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1872</th>\n",
       "      <td>2016-08-28 16:20:00</td>\n",
       "      <td>20</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1874</th>\n",
       "      <td>2016-08-28 19:05:00</td>\n",
       "      <td>19</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1873</th>\n",
       "      <td>2016-08-29 00:30:00</td>\n",
       "      <td>35</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1884</th>\n",
       "      <td>2016-08-29 17:15:00</td>\n",
       "      <td>34</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1881</th>\n",
       "      <td>2016-08-29 20:55:00</td>\n",
       "      <td>22</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1882</th>\n",
       "      <td>2016-08-29 22:10:00</td>\n",
       "      <td>16</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1885</th>\n",
       "      <td>2016-08-31 00:45:00</td>\n",
       "      <td>20</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1886</th>\n",
       "      <td>2016-08-31 13:15:00</td>\n",
       "      <td>33</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>2016-08-31 21:16:00</td>\n",
       "      <td>21</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td>2016-08-31 21:55:00</td>\n",
       "      <td>24</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                datetime     Age District Number\n",
       "926  2016-01-01 02:00:00      24               2\n",
       "1506 2016-01-01 06:40:00      36               9\n",
       "1599 2016-01-01 21:40:00      32               7\n",
       "1503 2016-01-02 16:45:00      16               3\n",
       "1536 2016-01-04 08:20:00      21              15\n",
       "1504 2016-01-04 19:35:00      33              12\n",
       "1531 2016-01-05 15:35:00      16               4\n",
       "1530 2016-01-05 15:35:00      17               4\n",
       "927  2016-01-05 20:20:00      25               9\n",
       "1505 2016-01-05 20:20:00      23               9\n",
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       "54   2016-05-10 17:50:00      20               6\n",
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       "170  2016-05-11 23:20:00      26               7\n",
       "173  2016-05-12 00:40:00      22               5\n",
       "55   2016-05-13 11:55:00      47               2\n",
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       "176  2016-05-14 15:42:00      20              15\n",
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       "174  2016-05-15 04:55:00      23              10\n",
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       "45   2016-05-15 14:33:00      35              15\n",
       "46   2016-05-15 21:00:00      17              10\n",
       "177  2016-05-16 20:35:00      37              22\n",
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       "178  2016-05-18 17:30:00      22              15\n",
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       "47   2016-05-19 01:12:00      16               3\n",
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       "179  2016-05-21 03:00:00      35               6\n",
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       "1646 2016-05-26 15:10:00      38               7\n",
       "51   2016-05-27 00:15:00      22               7\n",
       "48   2016-05-27 07:30:00      22               2\n",
       "56   2016-05-27 14:30:00      39               7\n",
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       "49   2016-05-30 23:00:00      39              24\n",
       "50   2016-05-30 23:00:00      44               2\n",
       "1748 2016-05-31 03:55:00      84              22\n",
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       "59   2016-06-02 22:50:00      35              11\n",
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       "52   2016-06-03 18:45:00      20              14\n",
       "1686 2016-06-04 00:00:00   2 mo.               8\n",
       "8    2016-06-04 00:00:00      32               7\n",
       "58   2016-06-04 02:50:00      35              15\n",
       "53   2016-06-04 03:15:00      38              22\n",
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       "57   2016-06-05 00:50:00      21               6\n",
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       "1821 2016-06-06 07:55:00      52               5\n",
       "9    2016-06-08 13:40:00      34              11\n",
       "60   2016-06-08 20:08:00      18               7\n",
       "183  2016-06-09 17:30:00      62               8\n",
       "1690 2016-06-09 19:45:00      36               9\n",
       "11   2016-06-10 20:45:00      26               2\n",
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       "10   2016-06-11 01:30:00      18               6\n",
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       "184  2016-06-12 01:00:00      42              22\n",
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       "182  2016-06-14 16:00:00      17              22\n",
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       "982  2016-06-18 09:49:00      65               2\n",
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       "61   2016-06-18 20:20:00      33               6\n",
       "1680 2016-06-19 13:10:00      21               9\n",
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       "986  2016-07-12 22:50:00      34               7\n",
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       "988  2016-07-14 01:59:00      25              11\n",
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       "1752 2016-07-16 23:00:00      23               2\n",
       "1756 2016-07-17 00:50:00      15               2\n",
       "1757 2016-07-17 04:45:00      38              11\n",
       "1743 2016-07-17 11:25:00      18               7\n",
       "1742 2016-07-17 19:40:00      20              15\n",
       "1749 2016-07-17 23:50:00      18              15\n",
       "1766 2016-07-18 20:55:00      20               9\n",
       "1746 2016-07-18 21:25:00      17              11\n",
       "1791 2016-07-18 23:45:00      24               7\n",
       "1774 2016-07-18 23:48:00      24               7\n",
       "1827 2016-07-19 18:40:00      38               3\n",
       "1792 2016-07-20 00:24:00      26              24\n",
       "1771 2016-07-20 00:45:00      37                \n",
       "1793 2016-07-21 19:54:00       2                \n",
       "1760 2016-07-21 20:15:00      29               1\n",
       "1768 2016-07-21 21:15:00      29               3\n",
       "1795 2016-07-22 00:00:00      26              11\n",
       "1764 2016-07-22 16:30:00      18               7\n",
       "1761 2016-07-22 18:15:00      20               5\n",
       "1762 2016-07-23 13:30:00      25               5\n",
       "1763 2016-07-24 02:10:00      20               8\n",
       "1794 2016-07-24 09:09:00  2 mo.               15\n",
       "1765 2016-07-24 15:30:00      19               9\n",
       "1776 2016-07-25 13:30:00      26              11\n",
       "1773 2016-07-25 17:25:00      43               3\n",
       "1767 2016-07-26 11:10:00      18              15\n",
       "1769 2016-07-27 00:05:00      23               4\n",
       "1772 2016-07-27 13:30:00      32               7\n",
       "1775 2016-07-27 14:30:00      19              11\n",
       "1788 2016-07-28 00:18:00      34               9\n",
       "1770 2016-07-28 00:18:00      25               9\n",
       "1777 2016-07-28 19:30:00      18               3\n",
       "1781 2016-07-28 22:15:00      23               6\n",
       "987  2016-07-28 22:40:00      17               4\n",
       "1784 2016-07-29 06:00:00      41               7\n",
       "1785 2016-07-29 14:45:00      49              25\n",
       "1778 2016-07-29 17:59:00      17               6\n",
       "1779 2016-07-29 19:18:00      21               8\n",
       "1780 2016-07-30 03:20:00      27              15\n",
       "1782 2016-07-30 19:10:00      21               3\n",
       "1783 2016-07-31 01:00:00      27              11\n",
       "1787 2016-07-31 14:05:00      40              15\n",
       "1786 2016-07-31 17:30:00      20              11\n",
       "1862 2016-08-01 14:10:00      28               8\n",
       "1796 2016-08-02 00:30:00      29              15\n",
       "1798 2016-08-02 15:50:00      28              15\n",
       "1809 2016-08-03 05:00:00      51               8\n",
       "1797 2016-08-03 14:20:00      54               4\n",
       "1799 2016-08-03 15:25:00      57              19\n",
       "1800 2016-08-04 02:35:00      21               5\n",
       "1845 2016-08-04 21:30:00      23              11\n",
       "1807 2016-08-05 12:15:00      15              14\n",
       "1801 2016-08-05 12:40:00      16               3\n",
       "1802 2016-08-06 00:30:00      18              24\n",
       "1803 2016-08-06 03:10:00      32              18\n",
       "1808 2016-08-06 04:25:00      29               4\n",
       "1804 2016-08-06 23:00:00      26              12\n",
       "1806 2016-08-07 02:19:00      17               5\n",
       "1805 2016-08-07 02:20:00      43              12\n",
       "1815 2016-08-08 02:25:00      43              11\n",
       "1814 2016-08-08 02:27:00      25              12\n",
       "1812 2016-08-08 13:20:00      61               6\n",
       "1838 2016-08-08 19:25:00      22              11\n",
       "1811 2016-08-08 19:50:00      24               8\n",
       "1810 2016-08-08 20:45:00      28              11\n",
       "1816 2016-08-08 21:25:00      28              11\n",
       "1813 2016-08-08 22:18:00      27               7\n",
       "1817 2016-08-08 23:17:00      44               6\n",
       "1818 2016-08-09 14:20:00      18               7\n",
       "1820 2016-08-09 20:10:00      32               5\n",
       "1819 2016-08-09 20:30:00      25              24\n",
       "1826 2016-08-09 22:55:00      30              15\n",
       "1822 2016-08-10 22:00:00      22              12\n",
       "1823 2016-08-10 22:20:00      22               5\n",
       "186  2016-08-11 01:55:00      50               6\n",
       "1825 2016-08-11 14:27:00      22               3\n",
       "1824 2016-08-11 23:55:00      37               7\n",
       "1835 2016-08-12 13:09:00      28              15\n",
       "1828 2016-08-12 22:15:00      17               7\n",
       "1837 2016-08-12 23:35:00      30              14\n",
       "1833 2016-08-13 01:40:00      23               8\n",
       "1832 2016-08-13 13:00:00      27              11\n",
       "1831 2016-08-14 00:04:00      19               8\n",
       "1830 2016-08-14 02:18:00      31              15\n",
       "1829 2016-08-14 03:03:00      31              12\n",
       "1839 2016-08-14 05:11:00      28              15\n",
       "1840 2016-08-14 09:00:00      21               3\n",
       "1843 2016-08-14 10:45:00  2 days              10\n",
       "1834 2016-08-15 04:00:00      33              11\n",
       "1844 2016-08-16 03:30:00      19              25\n",
       "1836 2016-08-16 03:55:00      21              11\n",
       "1842 2016-08-16 17:15:00      26              12\n",
       "1841 2016-08-16 22:00:00      40               3\n",
       "989  2016-08-16 22:45:00      37              10\n",
       "1861 2016-08-17 23:50:00      28               5\n",
       "1856 2016-08-19 08:40:00      24               4\n",
       "1846 2016-08-19 17:35:00      26               6\n",
       "1848 2016-08-20 20:10:00      20              25\n",
       "1860 2016-08-20 22:30:00      66              14\n",
       "1847 2016-08-21 00:05:00      24              11\n",
       "1857 2016-08-21 02:50:00      25               8\n",
       "1849 2016-08-21 04:00:00      14              25\n",
       "1868 2016-08-21 06:45:00      26              11\n",
       "1851 2016-08-21 16:15:00      22              11\n",
       "1850 2016-08-21 16:30:00      33               8\n",
       "1863 2016-08-22 10:05:00      68               1\n",
       "1879 2016-08-23 01:39:00                       4\n",
       "1883 2016-08-23 01:39:00      56               4\n",
       "1853 2016-08-23 01:39:00  3 mos.               4\n",
       "1852 2016-08-23 01:39:00                       4\n",
       "1859 2016-08-23 15:20:00      42               4\n",
       "1854 2016-08-23 18:00:00      20              10\n",
       "1878 2016-08-23 18:55:00      22               8\n",
       "1877 2016-08-23 21:40:00      37              10\n",
       "1876 2016-08-24 04:10:00      24               9\n",
       "1875 2016-08-24 10:54:00      28               7\n",
       "1867 2016-08-26 15:30:00      32               3\n",
       "12   2016-08-26 18:12:00      35              25\n",
       "990  2016-08-26 18:15:00      55              19\n",
       "1866 2016-08-27 03:35:00      21               5\n",
       "1869 2016-08-27 12:15:00      19               3\n",
       "1870 2016-08-28 00:15:00      30              11\n",
       "1880 2016-08-28 00:35:00      38              11\n",
       "62   2016-08-28 10:05:00      45               1\n",
       "1872 2016-08-28 16:20:00      20              15\n",
       "1874 2016-08-28 19:05:00      19               8\n",
       "1873 2016-08-29 00:30:00      35               5\n",
       "1884 2016-08-29 17:15:00      34              10\n",
       "1881 2016-08-29 20:55:00      22               6\n",
       "1882 2016-08-29 22:10:00      16              15\n",
       "1885 2016-08-31 00:45:00      20              12\n",
       "1886 2016-08-31 13:15:00      33               8\n",
       "187  2016-08-31 21:16:00      21               2\n",
       "991  2016-08-31 21:55:00      24               8"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display\n",
    "\n",
    "with pd.option_context('display.max_rows', 2000):\n",
    "    display(homicides_to_day_2016[['datetime', 'Age', 'District Number']].sort_values('datetime'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Median Age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Median age</th>\n",
       "      <td>25.0</td>\n",
       "      <td>25.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            2015  2016\n",
       "Median age  25.0  25.5"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "median_age_2015 = homicides_to_day_2015['Age'][homicides_to_day_2015['Age'].apply(np.isreal)].median()\n",
    "median_age_2016 = homicides_to_day_2016['Age'][homicides_to_day_2016['Age'].apply(np.isreal)].median()\n",
    "\n",
    "median_age = pd.DataFrame({\n",
    "    2015: pd.Series([median_age_2015], index=['Median age']),\n",
    "    2016: pd.Series([median_age_2016], index=['Median age']),   \n",
    "})\n",
    "display(median_age)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Oldest/youngest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Youngest victim age</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oldest victim age</th>\n",
       "      <td>79</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     2015  2016\n",
       "Youngest victim age     1     2\n",
       "Oldest victim age      79    84"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "youngest_2015 = homicides_to_day_2015['Age'][homicides_to_day_2015['Age'].apply(np.isreal)].min()\n",
    "youngest_2016 = homicides_to_day_2016['Age'][homicides_to_day_2016['Age'].apply(np.isreal)].min()\n",
    "oldest_2015 = homicides_to_day_2015['Age'][homicides_to_day_2015['Age'].apply(np.isreal)].max()\n",
    "oldest_2016 = homicides_to_day_2016['Age'][homicides_to_day_2016['Age'].apply(np.isreal)].max()\n",
    "\n",
    "oldest_youngest = pd.DataFrame({\n",
    "    2015: pd.Series([youngest_2015, oldest_2015], index=['Youngest victim age', 'Oldest victim age']), \n",
    "    2016: pd.Series([youngest_2016, oldest_2016], index=['Youngest victim age', 'Oldest victim age']),         \n",
    "})\n",
    "display(oldest_youngest)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## By police district"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>change</th>\n",
       "      <th>percent change</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.0</td>\n",
       "      <td>8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>14.0</td>\n",
       "      <td>20</td>\n",
       "      <td>6.0</td>\n",
       "      <td>42.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>15.0</td>\n",
       "      <td>29</td>\n",
       "      <td>14.0</td>\n",
       "      <td>93.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>26.0</td>\n",
       "      <td>21</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>-19.230769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>19.0</td>\n",
       "      <td>23</td>\n",
       "      <td>4.0</td>\n",
       "      <td>21.052632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>22.0</td>\n",
       "      <td>35</td>\n",
       "      <td>13.0</td>\n",
       "      <td>59.090909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>25.0</td>\n",
       "      <td>55</td>\n",
       "      <td>30.0</td>\n",
       "      <td>120.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>19.0</td>\n",
       "      <td>41</td>\n",
       "      <td>22.0</td>\n",
       "      <td>115.789474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>20.0</td>\n",
       "      <td>33</td>\n",
       "      <td>13.0</td>\n",
       "      <td>65.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>22.0</td>\n",
       "      <td>25</td>\n",
       "      <td>3.0</td>\n",
       "      <td>13.636364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>33.0</td>\n",
       "      <td>63</td>\n",
       "      <td>30.0</td>\n",
       "      <td>90.909091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>14.0</td>\n",
       "      <td>19</td>\n",
       "      <td>5.0</td>\n",
       "      <td>35.714286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>10.0</td>\n",
       "      <td>8</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>-20.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>20.0</td>\n",
       "      <td>41</td>\n",
       "      <td>21.0</td>\n",
       "      <td>105.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>-66.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>9.0</td>\n",
       "      <td>10</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.111111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>200.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>8.0</td>\n",
       "      <td>7</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>-12.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>4.0</td>\n",
       "      <td>2</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>-50.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>16.0</td>\n",
       "      <td>18</td>\n",
       "      <td>2.0</td>\n",
       "      <td>12.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>7.0</td>\n",
       "      <td>8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>14.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>19.0</td>\n",
       "      <td>21</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.526316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    2015  2016  change  percent change\n",
       "1    4.0     8     4.0      100.000000\n",
       "2   14.0    20     6.0       42.857143\n",
       "3   15.0    29    14.0       93.333333\n",
       "4   26.0    21    -5.0      -19.230769\n",
       "5   19.0    23     4.0       21.052632\n",
       "6   22.0    35    13.0       59.090909\n",
       "7   25.0    55    30.0      120.000000\n",
       "8   19.0    41    22.0      115.789474\n",
       "9   20.0    33    13.0       65.000000\n",
       "10  22.0    25     3.0       13.636364\n",
       "11  33.0    63    30.0       90.909091\n",
       "12  14.0    19     5.0       35.714286\n",
       "14  10.0     8    -2.0      -20.000000\n",
       "15  20.0    41    21.0      105.000000\n",
       "16   3.0     1    -2.0      -66.666667\n",
       "17   9.0    10     1.0       11.111111\n",
       "18   1.0     3     2.0      200.000000\n",
       "19   8.0     7    -1.0      -12.500000\n",
       "20   4.0     2    -2.0      -50.000000\n",
       "22  16.0    18     2.0       12.500000\n",
       "24   7.0     8     1.0       14.285714\n",
       "25  19.0    21     2.0       10.526316\n",
       "     1.0     2     1.0      100.000000\n",
       "31   NaN     1     NaN             NaN"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display\n",
    "\n",
    "by_police_district = pd.DataFrame({\n",
    "    2015: homicides_to_day_2015.groupby('District Number').size(),\n",
    "    2016: homicides_to_day_2016.groupby('District Number').size(),\n",
    "})\n",
    "\n",
    "by_police_district['change'] = by_police_district[2016] - by_police_district[2015]\n",
    "by_police_district['percent change'] = (((by_police_district[2016] - by_police_district[2015]) / by_police_district[2015]) * 100)\n",
    "\n",
    "display(by_police_district)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## By month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>change</th>\n",
       "      <th>percent change</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>month</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>32</td>\n",
       "      <td>57</td>\n",
       "      <td>25</td>\n",
       "      <td>78.125000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.0</th>\n",
       "      <td>20</td>\n",
       "      <td>45</td>\n",
       "      <td>25</td>\n",
       "      <td>125.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.0</th>\n",
       "      <td>35</td>\n",
       "      <td>49</td>\n",
       "      <td>14</td>\n",
       "      <td>40.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.0</th>\n",
       "      <td>35</td>\n",
       "      <td>41</td>\n",
       "      <td>6</td>\n",
       "      <td>17.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.0</th>\n",
       "      <td>49</td>\n",
       "      <td>68</td>\n",
       "      <td>19</td>\n",
       "      <td>38.775510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.0</th>\n",
       "      <td>49</td>\n",
       "      <td>72</td>\n",
       "      <td>23</td>\n",
       "      <td>46.938776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.0</th>\n",
       "      <td>54</td>\n",
       "      <td>71</td>\n",
       "      <td>17</td>\n",
       "      <td>31.481481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.0</th>\n",
       "      <td>57</td>\n",
       "      <td>91</td>\n",
       "      <td>34</td>\n",
       "      <td>59.649123</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       2015  2016  change  percent change\n",
       "month                                    \n",
       "1.0      32    57      25       78.125000\n",
       "2.0      20    45      25      125.000000\n",
       "3.0      35    49      14       40.000000\n",
       "4.0      35    41       6       17.142857\n",
       "5.0      49    68      19       38.775510\n",
       "6.0      49    72      23       46.938776\n",
       "7.0      54    71      17       31.481481\n",
       "8.0      57    91      34       59.649123"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display\n",
    "\n",
    "by_month = pd.DataFrame({\n",
    "    2015: homicides_to_day_2015.groupby('month').size(),\n",
    "    2016: homicides_to_day_2016.groupby('month').size(),\n",
    "})\n",
    "\n",
    "by_month['change'] = by_month[2016] - by_month[2015]\n",
    "by_month['percent change'] = (((by_month[2016] - by_month[2015]) / by_month[2015]) * 100)\n",
    "\n",
    "display(by_month)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## By weekend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 2015-01-02 15:00:00 2015-01-05 06:00:00\n",
      "2 2015-01-09 15:00:00 2015-01-12 06:00:00\n",
      "3 2015-01-16 15:00:00 2015-01-19 06:00:00\n",
      "4 2015-01-23 15:00:00 2015-01-26 06:00:00\n",
      "5 2015-01-30 15:00:00 2015-02-02 06:00:00\n",
      "6 2015-02-06 15:00:00 2015-02-09 06:00:00\n",
      "7 2015-02-13 15:00:00 2015-02-16 06:00:00\n",
      "8 2015-02-20 15:00:00 2015-02-23 06:00:00\n",
      "9 2015-02-27 15:00:00 2015-03-02 06:00:00\n",
      "10 2015-03-06 15:00:00 2015-03-09 06:00:00\n",
      "11 2015-03-13 15:00:00 2015-03-16 06:00:00\n",
      "12 2015-03-20 15:00:00 2015-03-23 06:00:00\n",
      "13 2015-03-27 15:00:00 2015-03-30 06:00:00\n",
      "14 2015-04-03 15:00:00 2015-04-06 06:00:00\n",
      "15 2015-04-10 15:00:00 2015-04-13 06:00:00\n",
      "16 2015-04-17 15:00:00 2015-04-20 06:00:00\n",
      "17 2015-04-24 15:00:00 2015-04-27 06:00:00\n",
      "18 2015-05-01 15:00:00 2015-05-04 06:00:00\n",
      "19 2015-05-08 15:00:00 2015-05-11 06:00:00\n",
      "20 2015-05-15 15:00:00 2015-05-18 06:00:00\n",
      "21 2015-05-22 15:00:00 2015-05-25 06:00:00\n",
      "22 2015-05-29 15:00:00 2015-06-01 06:00:00\n",
      "23 2015-06-05 15:00:00 2015-06-08 06:00:00\n",
      "24 2015-06-12 15:00:00 2015-06-15 06:00:00\n",
      "25 2015-06-19 15:00:00 2015-06-22 06:00:00\n",
      "26 2015-06-26 15:00:00 2015-06-29 06:00:00\n",
      "27 2015-07-03 15:00:00 2015-07-06 06:00:00\n",
      "28 2015-07-10 15:00:00 2015-07-13 06:00:00\n",
      "29 2015-07-17 15:00:00 2015-07-20 06:00:00\n",
      "30 2015-07-24 15:00:00 2015-07-27 06:00:00\n",
      "31 2015-07-31 15:00:00 2015-08-03 06:00:00\n",
      "32 2015-08-07 15:00:00 2015-08-10 06:00:00\n",
      "33 2015-08-14 15:00:00 2015-08-17 06:00:00\n",
      "34 2015-08-21 15:00:00 2015-08-24 06:00:00\n",
      "35 2015-08-28 15:00:00 2015-08-31 06:00:00\n",
      "1 2016-01-01 15:00:00 2016-01-04 06:00:00\n",
      "2 2016-01-08 15:00:00 2016-01-11 06:00:00\n",
      "3 2016-01-15 15:00:00 2016-01-18 06:00:00\n",
      "4 2016-01-22 15:00:00 2016-01-25 06:00:00\n",
      "5 2016-01-29 15:00:00 2016-02-01 06:00:00\n",
      "6 2016-02-05 15:00:00 2016-02-08 06:00:00\n",
      "7 2016-02-12 15:00:00 2016-02-15 06:00:00\n",
      "8 2016-02-19 15:00:00 2016-02-22 06:00:00\n",
      "9 2016-02-26 15:00:00 2016-02-29 06:00:00\n",
      "10 2016-03-04 15:00:00 2016-03-07 06:00:00\n",
      "11 2016-03-11 15:00:00 2016-03-14 06:00:00\n",
      "12 2016-03-18 15:00:00 2016-03-21 06:00:00\n",
      "13 2016-03-25 15:00:00 2016-03-28 06:00:00\n",
      "14 2016-04-01 15:00:00 2016-04-04 06:00:00\n",
      "15 2016-04-08 15:00:00 2016-04-11 06:00:00\n",
      "16 2016-04-15 15:00:00 2016-04-18 06:00:00\n",
      "17 2016-04-22 15:00:00 2016-04-25 06:00:00\n",
      "18 2016-04-29 15:00:00 2016-05-02 06:00:00\n",
      "19 2016-05-06 15:00:00 2016-05-09 06:00:00\n",
      "20 2016-05-13 15:00:00 2016-05-16 06:00:00\n",
      "21 2016-05-20 15:00:00 2016-05-23 06:00:00\n",
      "22 2016-05-27 15:00:00 2016-05-30 06:00:00\n",
      "23 2016-06-03 15:00:00 2016-06-06 06:00:00\n",
      "24 2016-06-10 15:00:00 2016-06-13 06:00:00\n",
      "25 2016-06-17 15:00:00 2016-06-20 06:00:00\n",
      "26 2016-06-24 15:00:00 2016-06-27 06:00:00\n",
      "27 2016-07-01 15:00:00 2016-07-04 06:00:00\n",
      "28 2016-07-08 15:00:00 2016-07-11 06:00:00\n",
      "29 2016-07-15 15:00:00 2016-07-18 06:00:00\n",
      "30 2016-07-22 15:00:00 2016-07-25 06:00:00\n",
      "31 2016-07-29 15:00:00 2016-08-01 06:00:00\n",
      "32 2016-08-05 15:00:00 2016-08-08 06:00:00\n",
      "33 2016-08-12 15:00:00 2016-08-15 06:00:00\n",
      "34 2016-08-19 15:00:00 2016-08-22 06:00:00\n",
      "35 2016-08-26 15:00:00 2016-08-29 06:00:00\n"
     ]
    }
   ],
   "source": [
    "from datetime import datetime, timedelta\n",
    "from dateutil import rrule\n",
    "from dateutil import parser\n",
    "from dateutil import relativedelta\n",
    "from IPython.display import display\n",
    "\n",
    "today = datetime.now().date()\n",
    "fridays_2015 = rrule.rrule(rrule.WEEKLY, byweekday=relativedelta.FR(1), dtstart=datetime(2015,1,1), count=52)\n",
    "fridays_2016 = rrule.rrule(rrule.WEEKLY, byweekday=relativedelta.FR(1), dtstart=datetime(2016,1,1), count=52)\n",
    "\n",
    "end_date_2016 = datetime(2016, 9, 1)\n",
    "end_date_2015 = end_date.replace(year=2015)\n",
    "fridays_2015_to_date = [d.date() for d in fridays_2015 if d < end_date_2015]\n",
    "fridays_2016_to_date = [d.date() for d in fridays_2016 if d < end_date_2016]\n",
    "\n",
    "def get_weekends(fridays):\n",
    "    weekends = []\n",
    "    for friday in fridays:\n",
    "        friday_dt = datetime(year=friday.year, month=friday.month, day=friday.day, hour=15, minute=0)\n",
    "        monday_dt = (friday_dt + timedelta(days=3)).replace(hour=6, minute=0)\n",
    "        weekends.append((friday_dt, monday_dt))\n",
    "        \n",
    "    return weekends\n",
    "    \n",
    "weekends_2015_to_date = get_weekends(fridays_2015_to_date)\n",
    "weekends_2016_to_date = get_weekends(fridays_2016_to_date)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Weekends 2015"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 2015-01-02 15:00:00 2015-01-05 06:00:00\n",
      "2 2015-01-09 15:00:00 2015-01-12 06:00:00\n",
      "3 2015-01-16 15:00:00 2015-01-19 06:00:00\n",
      "4 2015-01-23 15:00:00 2015-01-26 06:00:00\n",
      "5 2015-01-30 15:00:00 2015-02-02 06:00:00\n",
      "6 2015-02-06 15:00:00 2015-02-09 06:00:00\n",
      "7 2015-02-13 15:00:00 2015-02-16 06:00:00\n",
      "8 2015-02-20 15:00:00 2015-02-23 06:00:00\n",
      "9 2015-02-27 15:00:00 2015-03-02 06:00:00\n",
      "10 2015-03-06 15:00:00 2015-03-09 06:00:00\n",
      "11 2015-03-13 15:00:00 2015-03-16 06:00:00\n",
      "12 2015-03-20 15:00:00 2015-03-23 06:00:00\n",
      "13 2015-03-27 15:00:00 2015-03-30 06:00:00\n",
      "14 2015-04-03 15:00:00 2015-04-06 06:00:00\n",
      "15 2015-04-10 15:00:00 2015-04-13 06:00:00\n",
      "16 2015-04-17 15:00:00 2015-04-20 06:00:00\n",
      "17 2015-04-24 15:00:00 2015-04-27 06:00:00\n",
      "18 2015-05-01 15:00:00 2015-05-04 06:00:00\n",
      "19 2015-05-08 15:00:00 2015-05-11 06:00:00\n",
      "20 2015-05-15 15:00:00 2015-05-18 06:00:00\n",
      "21 2015-05-22 15:00:00 2015-05-25 06:00:00\n",
      "22 2015-05-29 15:00:00 2015-06-01 06:00:00\n",
      "23 2015-06-05 15:00:00 2015-06-08 06:00:00\n",
      "24 2015-06-12 15:00:00 2015-06-15 06:00:00\n",
      "25 2015-06-19 15:00:00 2015-06-22 06:00:00\n",
      "26 2015-06-26 15:00:00 2015-06-29 06:00:00\n",
      "27 2015-07-03 15:00:00 2015-07-06 06:00:00\n",
      "28 2015-07-10 15:00:00 2015-07-13 06:00:00\n",
      "29 2015-07-17 15:00:00 2015-07-20 06:00:00\n",
      "30 2015-07-24 15:00:00 2015-07-27 06:00:00\n",
      "31 2015-07-31 15:00:00 2015-08-03 06:00:00\n",
      "32 2015-08-07 15:00:00 2015-08-10 06:00:00\n",
      "33 2015-08-14 15:00:00 2015-08-17 06:00:00\n",
      "34 2015-08-21 15:00:00 2015-08-24 06:00:00\n",
      "35 2015-08-28 15:00:00 2015-08-31 06:00:00\n"
     ]
    }
   ],
   "source": [
    "for i, weekend in enumerate(weekends_2015_to_date):\n",
    "    start, end = weekend\n",
    "    print(i+1, start, end)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Weekends 2016"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 2016-01-01 15:00:00 2016-01-04 06:00:00\n",
      "2 2016-01-08 15:00:00 2016-01-11 06:00:00\n",
      "3 2016-01-15 15:00:00 2016-01-18 06:00:00\n",
      "4 2016-01-22 15:00:00 2016-01-25 06:00:00\n",
      "5 2016-01-29 15:00:00 2016-02-01 06:00:00\n",
      "6 2016-02-05 15:00:00 2016-02-08 06:00:00\n",
      "7 2016-02-12 15:00:00 2016-02-15 06:00:00\n",
      "8 2016-02-19 15:00:00 2016-02-22 06:00:00\n",
      "9 2016-02-26 15:00:00 2016-02-29 06:00:00\n",
      "10 2016-03-04 15:00:00 2016-03-07 06:00:00\n",
      "11 2016-03-11 15:00:00 2016-03-14 06:00:00\n",
      "12 2016-03-18 15:00:00 2016-03-21 06:00:00\n",
      "13 2016-03-25 15:00:00 2016-03-28 06:00:00\n",
      "14 2016-04-01 15:00:00 2016-04-04 06:00:00\n",
      "15 2016-04-08 15:00:00 2016-04-11 06:00:00\n",
      "16 2016-04-15 15:00:00 2016-04-18 06:00:00\n",
      "17 2016-04-22 15:00:00 2016-04-25 06:00:00\n",
      "18 2016-04-29 15:00:00 2016-05-02 06:00:00\n",
      "19 2016-05-06 15:00:00 2016-05-09 06:00:00\n",
      "20 2016-05-13 15:00:00 2016-05-16 06:00:00\n",
      "21 2016-05-20 15:00:00 2016-05-23 06:00:00\n",
      "22 2016-05-27 15:00:00 2016-05-30 06:00:00\n",
      "23 2016-06-03 15:00:00 2016-06-06 06:00:00\n",
      "24 2016-06-10 15:00:00 2016-06-13 06:00:00\n",
      "25 2016-06-17 15:00:00 2016-06-20 06:00:00\n",
      "26 2016-06-24 15:00:00 2016-06-27 06:00:00\n",
      "27 2016-07-01 15:00:00 2016-07-04 06:00:00\n",
      "28 2016-07-08 15:00:00 2016-07-11 06:00:00\n",
      "29 2016-07-15 15:00:00 2016-07-18 06:00:00\n",
      "30 2016-07-22 15:00:00 2016-07-25 06:00:00\n",
      "31 2016-07-29 15:00:00 2016-08-01 06:00:00\n",
      "32 2016-08-05 15:00:00 2016-08-08 06:00:00\n",
      "33 2016-08-12 15:00:00 2016-08-15 06:00:00\n",
      "34 2016-08-19 15:00:00 2016-08-22 06:00:00\n",
      "35 2016-08-26 15:00:00 2016-08-29 06:00:00\n"
     ]
    }
   ],
   "source": [
    "for i, weekend in enumerate(weekends_2016_to_date):\n",
    "    start, end = weekend\n",
    "    print(i+1, start, end)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def is_weekend(timestamp):\n",
    "    \"\"\"Does the timestamp fall between Friday 3 p.m. and Monday 6 a.m.\"\"\"\n",
    "    if not timestamp:\n",
    "        return False\n",
    "    \n",
    "    day_of_week = timestamp.weekday()\n",
    "    \n",
    "    if day_of_week > 0 and day_of_week < 4:\n",
    "        return False\n",
    "    \n",
    "    if day_of_week == 4:\n",
    "        # Friday\n",
    "        \n",
    "        # Same day, 3 p.m.\n",
    "        start = datetime(timestamp.year, timestamp.month, timestamp.day, 15)\n",
    "        \n",
    "        return timestamp >= start\n",
    "    \n",
    "    if day_of_week == 0:\n",
    "        # Monday\n",
    "        \n",
    "        # Same day, 6 a.m.\n",
    "        end = datetime(timestamp.year, timestamp.month, timestamp.day, 6)\n",
    "        \n",
    "        return timestamp < end\n",
    "        \n",
    "    return True\n",
    "\n",
    "homicides_to_day_2015_weekend = homicides_to_day_2015[homicides_to_day_2015.apply(lambda r: is_weekend(r['datetime']), axis=1)]\n",
    "homicides_to_day_2016_weekend = homicides_to_day_2016[homicides_to_day_2016.apply(lambda r: is_weekend(r['datetime']), axis=1)]\n",
    "\n",
    "def get_weekend_2015(row):\n",
    "    for i, weekend in enumerate(weekends_2015_to_date):\n",
    "        weekend_start, weekend_end = weekend\n",
    "        if row['datetime'] >= weekend_start and row['datetime'] <= weekend_end:\n",
    "            return i + 1\n",
    "        \n",
    "def get_weekend_2016(row):\n",
    "    for i, weekend in enumerate(weekends_2016_to_date):\n",
    "        weekend_start, weekend_end = weekend\n",
    "        if row['datetime'] >= weekend_start and row['datetime'] <= weekend_end:\n",
    "            return i + 1\n",
    "        \n",
    "homicides_to_day_2015_weekend['weekend'] = homicides_to_day_2015_weekend.apply(get_weekend_2015, axis=1)\n",
    "homicides_to_day_2016_weekend['weekend'] = homicides_to_day_2016_weekend.apply(get_weekend_2016, axis=1)\n",
    "\n",
    "by_weekend = pd.DataFrame({\n",
    "    2015: homicides_to_day_2015_weekend.groupby('weekend').size(),\n",
    "    2016: homicides_to_day_2016_weekend.groupby('weekend').size(),\n",
    "})\n",
    "\n",
    "by_weekend['change'] = by_weekend[2016] - by_weekend[2015]\n",
    "by_weekend['percent change'] = (((by_weekend[2016] - by_weekend[2015]) / by_weekend[2015]) * 100)\n",
    "\n",
    "display(by_weekend)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
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  "language_info": {
   "codemirror_mode": {
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    "version": 3
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   "file_extension": ".py",
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