Business Case Study.ipynb

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   "id": "80b9e404-2561-4514-8b4c-f585c51bce81",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "id": "95835276-75a2-43a5-9c5d-5e6a38a3c20a",
   "metadata": {},
   "outputs": [],
   "source": [
    "raw_csv_data = pd.read_csv(\"C:/Online_Courses/The Data Science Course Complete Data Science Bootcamp 2024/Excel Files/Absenteeism Data.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "id": "03b5ceda-d6cd-477e-9e4b-f172d9bc683e",
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   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Reason for Absence</th>\n",
       "      <th>Date</th>\n",
       "      <th>Transportation Expense</th>\n",
       "      <th>Distance to Work</th>\n",
       "      <th>Age</th>\n",
       "      <th>Daily Work Load Average</th>\n",
       "      <th>Body Mass Index</th>\n",
       "      <th>Education</th>\n",
       "      <th>Children</th>\n",
       "      <th>Pets</th>\n",
       "      <th>Absenteeism Time in Hours</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11</td>\n",
       "      <td>26</td>\n",
       "      <td>07/07/2015</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>239.554</td>\n",
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       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>16/07/2015</td>\n",
       "      <td>279</td>\n",
       "      <td>5</td>\n",
       "      <td>39</td>\n",
       "      <td>239.554</td>\n",
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      "text/plain": [
       "   ID  Reason for Absence        Date  Transportation Expense  \\\n",
       "0  11                  26  07/07/2015                     289   \n",
       "1  36                   0  14/07/2015                     118   \n",
       "2   3                  23  15/07/2015                     179   \n",
       "3   7                   7  16/07/2015                     279   \n",
       "4  11                  23  23/07/2015                     289   \n",
       "\n",
       "   Distance to Work  Age  Daily Work Load Average  Body Mass Index  Education  \\\n",
       "0                36   33                  239.554               30          1   \n",
       "1                13   50                  239.554               31          1   \n",
       "2                51   38                  239.554               31          1   \n",
       "3                 5   39                  239.554               24          1   \n",
       "4                36   33                  239.554               30          1   \n",
       "\n",
       "   Children  Pets  Absenteeism Time in Hours  \n",
       "0         2     1                          4  \n",
       "1         1     0                          0  \n",
       "2         0     0                          2  \n",
       "3         2     0                          4  \n",
       "4         2     1                          2  "
      ]
     },
     "execution_count": 198,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_csv_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "id": "84cedd9f-8f89-4f4d-9f5e-18efbe6892aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = raw_csv_data.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "id": "3d2ddf0e-5d0b-4a1c-a63d-45ae83978c6e",
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       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Reason for Absence</th>\n",
       "      <th>Date</th>\n",
       "      <th>Transportation Expense</th>\n",
       "      <th>Distance to Work</th>\n",
       "      <th>Age</th>\n",
       "      <th>Daily Work Load Average</th>\n",
       "      <th>Body Mass Index</th>\n",
       "      <th>Education</th>\n",
       "      <th>Children</th>\n",
       "      <th>Pets</th>\n",
       "      <th>Absenteeism Time in Hours</th>\n",
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       "      <td>07/07/2015</td>\n",
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       "      <td>0</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>16/07/2015</td>\n",
       "      <td>279</td>\n",
       "      <td>5</td>\n",
       "      <td>39</td>\n",
       "      <td>239.554</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
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       "      <th>4</th>\n",
       "      <td>11</td>\n",
       "      <td>23</td>\n",
       "      <td>23/07/2015</td>\n",
       "      <td>289</td>\n",
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      "text/plain": [
       "   ID  Reason for Absence        Date  Transportation Expense  \\\n",
       "0  11                  26  07/07/2015                     289   \n",
       "1  36                   0  14/07/2015                     118   \n",
       "2   3                  23  15/07/2015                     179   \n",
       "3   7                   7  16/07/2015                     279   \n",
       "4  11                  23  23/07/2015                     289   \n",
       "\n",
       "   Distance to Work  Age  Daily Work Load Average  Body Mass Index  Education  \\\n",
       "0                36   33                  239.554               30          1   \n",
       "1                13   50                  239.554               31          1   \n",
       "2                51   38                  239.554               31          1   \n",
       "3                 5   39                  239.554               24          1   \n",
       "4                36   33                  239.554               30          1   \n",
       "\n",
       "   Children  Pets  Absenteeism Time in Hours  \n",
       "0         2     1                          4  \n",
       "1         1     0                          0  \n",
       "2         0     0                          2  \n",
       "3         2     0                          4  \n",
       "4         2     1                          2  "
      ]
     },
     "execution_count": 200,
     "metadata": {},
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   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "id": "01a164ab-8900-426d-9941-29016349dc35",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.options.display.max_columns = None\n",
    "pd.options.display.max_rows = None"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89e2b0b9-6515-480a-926e-37c05eab1cb8",
   "metadata": {},
   "source": [
    "# Checking Entire Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "id": "7d8ba9e0-82e5-4a14-8c2e-9a70b07c6443",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
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       "      <th>Reason for Absence</th>\n",
       "      <th>Date</th>\n",
       "      <th>Transportation Expense</th>\n",
       "      <th>Distance to Work</th>\n",
       "      <th>Age</th>\n",
       "      <th>Daily Work Load Average</th>\n",
       "      <th>Body Mass Index</th>\n",
       "      <th>Education</th>\n",
       "      <th>Children</th>\n",
       "      <th>Pets</th>\n",
       "      <th>Absenteeism Time in Hours</th>\n",
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       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>16/07/2015</td>\n",
       "      <td>279</td>\n",
       "      <td>5</td>\n",
       "      <td>39</td>\n",
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       "      <td>1</td>\n",
       "      <td>2</td>\n",
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       "      <td>4</td>\n",
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       "      <th>4</th>\n",
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       "      <th>5</th>\n",
       "      <td>3</td>\n",
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       "      <td>10/07/2015</td>\n",
       "      <td>179</td>\n",
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       "      <td>0</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10</td>\n",
       "      <td>22</td>\n",
       "      <td>17/07/2015</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
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       "      <td>4</td>\n",
       "      <td>8</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>20</td>\n",
       "      <td>23</td>\n",
       "      <td>24/07/2015</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>239.554</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>14</td>\n",
       "      <td>19</td>\n",
       "      <td>06/07/2015</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>239.554</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>13/07/2015</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>239.554</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
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       "      <td>8</td>\n",
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       "      <th>10</th>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>20/07/2015</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>239.554</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>14/07/2015</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>239.554</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
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       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>15/07/2015</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
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       "      <th>13</th>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>15/07/2015</td>\n",
       "      <td>179</td>\n",
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       "      <td>38</td>\n",
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       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>15/07/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>239.554</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>24</td>\n",
       "      <td>14</td>\n",
       "      <td>17/07/2015</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>239.554</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>17/07/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>239.554</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>3</td>\n",
       "      <td>21</td>\n",
       "      <td>27/07/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>239.554</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>6</td>\n",
       "      <td>11</td>\n",
       "      <td>30/07/2015</td>\n",
       "      <td>189</td>\n",
       "      <td>29</td>\n",
       "      <td>33</td>\n",
       "      <td>239.554</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>33</td>\n",
       "      <td>23</td>\n",
       "      <td>05/08/2015</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>205.917</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>12/08/2015</td>\n",
       "      <td>330</td>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "      <td>205.917</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>03/08/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>205.917</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "      <td>10/08/2015</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>205.917</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>14/08/2015</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>205.917</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>17/08/2015</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>205.917</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>10</td>\n",
       "      <td>25</td>\n",
       "      <td>24/08/2015</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>205.917</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>11</td>\n",
       "      <td>23</td>\n",
       "      <td>04/08/2015</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>205.917</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>30</td>\n",
       "      <td>28</td>\n",
       "      <td>12/08/2015</td>\n",
       "      <td>157</td>\n",
       "      <td>27</td>\n",
       "      <td>29</td>\n",
       "      <td>205.917</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>19/08/2015</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>205.917</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>28/08/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>205.917</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>3</td>\n",
       "      <td>18</td>\n",
       "      <td>17/08/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>205.917</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>27/08/2015</td>\n",
       "      <td>235</td>\n",
       "      <td>29</td>\n",
       "      <td>48</td>\n",
       "      <td>205.917</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>27/08/2015</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>205.917</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>17/08/2015</td>\n",
       "      <td>235</td>\n",
       "      <td>29</td>\n",
       "      <td>48</td>\n",
       "      <td>205.917</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>17/08/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>205.917</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>10</td>\n",
       "      <td>23</td>\n",
       "      <td>17/08/2015</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>205.917</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>11</td>\n",
       "      <td>24</td>\n",
       "      <td>04/08/2015</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>205.917</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>20/08/2015</td>\n",
       "      <td>291</td>\n",
       "      <td>50</td>\n",
       "      <td>32</td>\n",
       "      <td>205.917</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "      <td>21/08/2015</td>\n",
       "      <td>235</td>\n",
       "      <td>29</td>\n",
       "      <td>48</td>\n",
       "      <td>205.917</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>20</td>\n",
       "      <td>23</td>\n",
       "      <td>28/08/2015</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>205.917</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>27</td>\n",
       "      <td>23</td>\n",
       "      <td>01/09/2015</td>\n",
       "      <td>184</td>\n",
       "      <td>42</td>\n",
       "      <td>27</td>\n",
       "      <td>241.476</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>34</td>\n",
       "      <td>23</td>\n",
       "      <td>07/09/2015</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>241.476</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>01/09/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>241.476</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>5</td>\n",
       "      <td>19</td>\n",
       "      <td>08/09/2015</td>\n",
       "      <td>235</td>\n",
       "      <td>20</td>\n",
       "      <td>43</td>\n",
       "      <td>241.476</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>14</td>\n",
       "      <td>23</td>\n",
       "      <td>09/09/2015</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>241.476</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>34</td>\n",
       "      <td>23</td>\n",
       "      <td>13/09/2015</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>241.476</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>14/09/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>241.476</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>15</td>\n",
       "      <td>23</td>\n",
       "      <td>24/09/2015</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>241.476</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>20</td>\n",
       "      <td>22</td>\n",
       "      <td>04/09/2015</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>241.476</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>14/09/2015</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>241.476</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>21/09/2015</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>241.476</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>28/09/2015</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>241.476</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>08/09/2015</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>241.476</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>34</td>\n",
       "      <td>23</td>\n",
       "      <td>15/09/2015</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>241.476</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>22/09/2015</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>241.476</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>29/09/2015</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>241.476</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>28</td>\n",
       "      <td>18</td>\n",
       "      <td>16/09/2015</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>241.476</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>23/09/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>241.476</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>30/09/2015</td>\n",
       "      <td>369</td>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>241.476</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>33</td>\n",
       "      <td>23</td>\n",
       "      <td>11/09/2015</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>241.476</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>18/09/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>241.476</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>20</td>\n",
       "      <td>23</td>\n",
       "      <td>25/09/2015</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>241.476</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>06/10/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>253.465</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>34</td>\n",
       "      <td>23</td>\n",
       "      <td>13/10/2015</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>253.465</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>14/10/2015</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>253.465</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>22</td>\n",
       "      <td>23</td>\n",
       "      <td>15/10/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>253.465</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>16/10/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>253.465</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>16/10/2015</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>253.465</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>34</td>\n",
       "      <td>23</td>\n",
       "      <td>06/10/2015</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>253.465</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>14/10/2015</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>253.465</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>33</td>\n",
       "      <td>23</td>\n",
       "      <td>21/10/2015</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>253.465</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>15</td>\n",
       "      <td>23</td>\n",
       "      <td>22/10/2015</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>253.465</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>21/10/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>253.465</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>21/10/2015</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>253.465</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>20</td>\n",
       "      <td>19</td>\n",
       "      <td>22/10/2015</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>253.465</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>13/10/2015</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>253.465</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>20/10/2015</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>253.465</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>11</td>\n",
       "      <td>26</td>\n",
       "      <td>21/10/2015</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>253.465</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>10</td>\n",
       "      <td>23</td>\n",
       "      <td>23/10/2015</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>253.465</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>30/10/2015</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>253.465</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>05/11/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>306.345</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>04/11/2015</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>306.345</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>05/11/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>306.345</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>17</td>\n",
       "      <td>21</td>\n",
       "      <td>12/11/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>306.345</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>15</td>\n",
       "      <td>23</td>\n",
       "      <td>19/11/2015</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>306.345</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>02/11/2015</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>306.345</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>6</td>\n",
       "      <td>22</td>\n",
       "      <td>09/11/2015</td>\n",
       "      <td>189</td>\n",
       "      <td>29</td>\n",
       "      <td>33</td>\n",
       "      <td>306.345</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>16/11/2015</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>306.345</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>18/11/2015</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>306.345</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>14</td>\n",
       "      <td>6</td>\n",
       "      <td>20/11/2015</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>306.345</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>18/11/2015</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>306.345</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>17</td>\n",
       "      <td>21</td>\n",
       "      <td>25/11/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>306.345</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>28</td>\n",
       "      <td>13</td>\n",
       "      <td>20/11/2015</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>306.345</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>27/11/2015</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>306.345</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>33</td>\n",
       "      <td>28</td>\n",
       "      <td>02/11/2015</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>306.345</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>10/11/2015</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>306.345</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>11/11/2015</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>306.345</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>15</td>\n",
       "      <td>23</td>\n",
       "      <td>26/11/2015</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>306.345</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>33</td>\n",
       "      <td>23</td>\n",
       "      <td>01/12/2015</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>261.306</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>34</td>\n",
       "      <td>19</td>\n",
       "      <td>01/12/2015</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>261.306</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>36</td>\n",
       "      <td>23</td>\n",
       "      <td>02/12/2015</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>261.306</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>1</td>\n",
       "      <td>26</td>\n",
       "      <td>02/12/2015</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>261.306</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>03/12/2015</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>261.306</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>20</td>\n",
       "      <td>26</td>\n",
       "      <td>04/12/2015</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>261.306</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>34</td>\n",
       "      <td>19</td>\n",
       "      <td>08/12/2015</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>261.306</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>10</td>\n",
       "      <td>22</td>\n",
       "      <td>09/12/2015</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>261.306</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>10/12/2015</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>261.306</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>11/12/2015</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>261.306</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>15/12/2015</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>261.306</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>10</td>\n",
       "      <td>22</td>\n",
       "      <td>16/12/2015</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>261.306</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>34</td>\n",
       "      <td>27</td>\n",
       "      <td>11/12/2015</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>261.306</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>24</td>\n",
       "      <td>19</td>\n",
       "      <td>18/12/2015</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>261.306</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>18/12/2015</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>261.306</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>06/01/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>308.593</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>34</td>\n",
       "      <td>19</td>\n",
       "      <td>04/01/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>308.593</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>34</td>\n",
       "      <td>27</td>\n",
       "      <td>05/01/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>308.593</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>14</td>\n",
       "      <td>18</td>\n",
       "      <td>05/01/2016</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>308.593</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>28</td>\n",
       "      <td>27</td>\n",
       "      <td>06/01/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>308.593</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>27</td>\n",
       "      <td>23</td>\n",
       "      <td>07/01/2016</td>\n",
       "      <td>184</td>\n",
       "      <td>42</td>\n",
       "      <td>27</td>\n",
       "      <td>308.593</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>07/01/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>308.593</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>28</td>\n",
       "      <td>27</td>\n",
       "      <td>08/01/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>308.593</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>34</td>\n",
       "      <td>27</td>\n",
       "      <td>11/01/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>308.593</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>28</td>\n",
       "      <td>27</td>\n",
       "      <td>12/01/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>308.593</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>34</td>\n",
       "      <td>27</td>\n",
       "      <td>12/01/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>308.593</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>34</td>\n",
       "      <td>27</td>\n",
       "      <td>13/01/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>308.593</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>34</td>\n",
       "      <td>27</td>\n",
       "      <td>14/01/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>308.593</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>34</td>\n",
       "      <td>27</td>\n",
       "      <td>15/01/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>308.593</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>34</td>\n",
       "      <td>27</td>\n",
       "      <td>11/01/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>308.593</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>34</td>\n",
       "      <td>27</td>\n",
       "      <td>12/01/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>308.593</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>22</td>\n",
       "      <td>18</td>\n",
       "      <td>12/01/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>308.593</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>12/01/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>308.593</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>34</td>\n",
       "      <td>27</td>\n",
       "      <td>13/01/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>308.593</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>27</td>\n",
       "      <td>23</td>\n",
       "      <td>21/01/2016</td>\n",
       "      <td>184</td>\n",
       "      <td>42</td>\n",
       "      <td>27</td>\n",
       "      <td>308.593</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>34</td>\n",
       "      <td>27</td>\n",
       "      <td>28/01/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>308.593</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>34</td>\n",
       "      <td>27</td>\n",
       "      <td>25/01/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>308.593</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>26/01/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>308.593</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>28/01/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>308.593</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>27</td>\n",
       "      <td>23</td>\n",
       "      <td>05/02/2016</td>\n",
       "      <td>184</td>\n",
       "      <td>42</td>\n",
       "      <td>27</td>\n",
       "      <td>302.585</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>03/02/2016</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>302.585</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>10/02/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>302.585</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>14</td>\n",
       "      <td>28</td>\n",
       "      <td>11/02/2016</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>302.585</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "      <td>11/02/2016</td>\n",
       "      <td>189</td>\n",
       "      <td>29</td>\n",
       "      <td>33</td>\n",
       "      <td>302.585</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>12/02/2016</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>302.585</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>12/02/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>302.585</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>31</td>\n",
       "      <td>11</td>\n",
       "      <td>08/02/2016</td>\n",
       "      <td>388</td>\n",
       "      <td>15</td>\n",
       "      <td>50</td>\n",
       "      <td>302.585</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>09/02/2016</td>\n",
       "      <td>388</td>\n",
       "      <td>15</td>\n",
       "      <td>50</td>\n",
       "      <td>302.585</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>15/02/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>302.585</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>09/02/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>302.585</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>22</td>\n",
       "      <td>23</td>\n",
       "      <td>16/02/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>302.585</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>27</td>\n",
       "      <td>23</td>\n",
       "      <td>23/02/2016</td>\n",
       "      <td>184</td>\n",
       "      <td>42</td>\n",
       "      <td>27</td>\n",
       "      <td>302.585</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>28</td>\n",
       "      <td>25</td>\n",
       "      <td>25/02/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>302.585</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>15/02/2016</td>\n",
       "      <td>330</td>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "      <td>302.585</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>18</td>\n",
       "      <td>23</td>\n",
       "      <td>16/02/2016</td>\n",
       "      <td>330</td>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "      <td>302.585</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>17/02/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>302.585</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>6</td>\n",
       "      <td>19</td>\n",
       "      <td>25/02/2016</td>\n",
       "      <td>189</td>\n",
       "      <td>29</td>\n",
       "      <td>33</td>\n",
       "      <td>302.585</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>19</td>\n",
       "      <td>28</td>\n",
       "      <td>01/03/2016</td>\n",
       "      <td>291</td>\n",
       "      <td>50</td>\n",
       "      <td>32</td>\n",
       "      <td>343.253</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>20</td>\n",
       "      <td>19</td>\n",
       "      <td>01/03/2016</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>343.253</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>30</td>\n",
       "      <td>19</td>\n",
       "      <td>08/03/2016</td>\n",
       "      <td>157</td>\n",
       "      <td>27</td>\n",
       "      <td>29</td>\n",
       "      <td>343.253</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>15/03/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>343.253</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>15</td>\n",
       "      <td>22</td>\n",
       "      <td>16/03/2016</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>343.253</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>20</td>\n",
       "      <td>13</td>\n",
       "      <td>02/03/2016</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>343.253</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>22</td>\n",
       "      <td>13</td>\n",
       "      <td>03/03/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>343.253</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>33</td>\n",
       "      <td>14</td>\n",
       "      <td>04/03/2016</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>343.253</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>20</td>\n",
       "      <td>13</td>\n",
       "      <td>04/03/2016</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>343.253</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>17</td>\n",
       "      <td>11</td>\n",
       "      <td>07/03/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>343.253</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>14/03/2016</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>343.253</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>20</td>\n",
       "      <td>26</td>\n",
       "      <td>21/03/2016</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>343.253</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>14</td>\n",
       "      <td>13</td>\n",
       "      <td>22/03/2016</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>343.253</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>24/03/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>343.253</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>17</td>\n",
       "      <td>8</td>\n",
       "      <td>24/03/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>343.253</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>25/03/2016</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>343.253</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>25/03/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>343.253</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>28/03/2016</td>\n",
       "      <td>279</td>\n",
       "      <td>5</td>\n",
       "      <td>39</td>\n",
       "      <td>343.253</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>29/03/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>343.253</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>30/03/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>343.253</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>28</td>\n",
       "      <td>11</td>\n",
       "      <td>28/03/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>343.253</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>22</td>\n",
       "      <td>13</td>\n",
       "      <td>28/03/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>343.253</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>28</td>\n",
       "      <td>11</td>\n",
       "      <td>29/03/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>343.253</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>28</td>\n",
       "      <td>11</td>\n",
       "      <td>30/03/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>343.253</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>30/03/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>343.253</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>17/03/2016</td>\n",
       "      <td>279</td>\n",
       "      <td>5</td>\n",
       "      <td>39</td>\n",
       "      <td>343.253</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>18/03/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>343.253</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>33</td>\n",
       "      <td>14</td>\n",
       "      <td>25/03/2016</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>343.253</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28/03/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>343.253</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>15</td>\n",
       "      <td>28</td>\n",
       "      <td>06/04/2016</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>326.452</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>13/04/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>326.452</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>14</td>\n",
       "      <td>28</td>\n",
       "      <td>12/04/2016</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>326.452</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>24</td>\n",
       "      <td>13</td>\n",
       "      <td>13/04/2016</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>326.452</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>14</td>\n",
       "      <td>23</td>\n",
       "      <td>14/04/2016</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>326.452</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>15/04/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>326.452</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>15/04/2016</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>326.452</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>06/04/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>326.452</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>36</td>\n",
       "      <td>23</td>\n",
       "      <td>07/04/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>326.452</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>15</td>\n",
       "      <td>23</td>\n",
       "      <td>08/04/2016</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>326.452</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>24</td>\n",
       "      <td>14</td>\n",
       "      <td>08/04/2016</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>326.452</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>15</td>\n",
       "      <td>28</td>\n",
       "      <td>22/04/2016</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>326.452</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>33</td>\n",
       "      <td>28</td>\n",
       "      <td>29/04/2016</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>326.452</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>20</td>\n",
       "      <td>19</td>\n",
       "      <td>29/04/2016</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>326.452</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>11</td>\n",
       "      <td>19</td>\n",
       "      <td>26/04/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>326.452</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>27/04/2016</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>326.452</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>23</td>\n",
       "      <td>19</td>\n",
       "      <td>27/04/2016</td>\n",
       "      <td>378</td>\n",
       "      <td>49</td>\n",
       "      <td>36</td>\n",
       "      <td>326.452</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "      <td>28/04/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>326.452</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>08/04/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>326.452</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>04/04/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>29</td>\n",
       "      <td>48</td>\n",
       "      <td>326.452</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "      <td>04/05/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>378.884</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>14</td>\n",
       "      <td>28</td>\n",
       "      <td>05/05/2016</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>378.884</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>14</td>\n",
       "      <td>28</td>\n",
       "      <td>02/05/2016</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>378.884</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>3</td>\n",
       "      <td>18</td>\n",
       "      <td>03/05/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>378.884</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>03/05/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>378.884</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>27</td>\n",
       "      <td>7</td>\n",
       "      <td>11/05/2016</td>\n",
       "      <td>184</td>\n",
       "      <td>42</td>\n",
       "      <td>27</td>\n",
       "      <td>378.884</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>14</td>\n",
       "      <td>28</td>\n",
       "      <td>09/05/2016</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>378.884</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>10/05/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>378.884</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "      <td>04/05/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>378.884</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>11/05/2016</td>\n",
       "      <td>279</td>\n",
       "      <td>5</td>\n",
       "      <td>39</td>\n",
       "      <td>378.884</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>18/05/2016</td>\n",
       "      <td>330</td>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "      <td>378.884</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>25/05/2016</td>\n",
       "      <td>378</td>\n",
       "      <td>49</td>\n",
       "      <td>36</td>\n",
       "      <td>378.884</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>25/05/2016</td>\n",
       "      <td>388</td>\n",
       "      <td>15</td>\n",
       "      <td>50</td>\n",
       "      <td>378.884</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>24/05/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>378.884</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>36</td>\n",
       "      <td>13</td>\n",
       "      <td>11/05/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>378.884</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>10</td>\n",
       "      <td>22</td>\n",
       "      <td>27/05/2016</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>378.884</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>24</td>\n",
       "      <td>19</td>\n",
       "      <td>06/06/2016</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>377.550</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>10</td>\n",
       "      <td>22</td>\n",
       "      <td>13/06/2016</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>377.550</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>24</td>\n",
       "      <td>10</td>\n",
       "      <td>14/06/2016</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>377.550</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>15</td>\n",
       "      <td>23</td>\n",
       "      <td>16/06/2016</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>377.550</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>24</td>\n",
       "      <td>10</td>\n",
       "      <td>17/06/2016</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>377.550</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>13/06/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>377.550</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>14</td>\n",
       "      <td>23</td>\n",
       "      <td>20/06/2016</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>377.550</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>24</td>\n",
       "      <td>10</td>\n",
       "      <td>27/06/2016</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>377.550</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>36</td>\n",
       "      <td>13</td>\n",
       "      <td>29/06/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>377.550</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>03/06/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>377.550</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>36</td>\n",
       "      <td>23</td>\n",
       "      <td>07/06/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>377.550</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>36</td>\n",
       "      <td>13</td>\n",
       "      <td>08/06/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>377.550</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>23</td>\n",
       "      <td>22</td>\n",
       "      <td>09/06/2016</td>\n",
       "      <td>378</td>\n",
       "      <td>49</td>\n",
       "      <td>36</td>\n",
       "      <td>377.550</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>10/06/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>377.550</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>32</td>\n",
       "      <td>28</td>\n",
       "      <td>20/06/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>48</td>\n",
       "      <td>49</td>\n",
       "      <td>377.550</td>\n",
       "      <td>36</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>30/06/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>377.550</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>14</td>\n",
       "      <td>19</td>\n",
       "      <td>05/07/2016</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>275.312</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>36</td>\n",
       "      <td>1</td>\n",
       "      <td>06/07/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>275.312</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>34</td>\n",
       "      <td>5</td>\n",
       "      <td>08/07/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>275.312</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>34</td>\n",
       "      <td>26</td>\n",
       "      <td>08/07/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>275.312</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>18</td>\n",
       "      <td>26</td>\n",
       "      <td>12/07/2016</td>\n",
       "      <td>330</td>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "      <td>275.312</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22</td>\n",
       "      <td>18</td>\n",
       "      <td>14/07/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>275.312</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>14</td>\n",
       "      <td>25</td>\n",
       "      <td>15/07/2016</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>275.312</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>18/07/2016</td>\n",
       "      <td>330</td>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "      <td>275.312</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>19/07/2016</td>\n",
       "      <td>330</td>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "      <td>275.312</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>30</td>\n",
       "      <td>25</td>\n",
       "      <td>18/07/2016</td>\n",
       "      <td>157</td>\n",
       "      <td>27</td>\n",
       "      <td>29</td>\n",
       "      <td>275.312</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>10</td>\n",
       "      <td>22</td>\n",
       "      <td>19/07/2016</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>275.312</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>11</td>\n",
       "      <td>26</td>\n",
       "      <td>20/07/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>275.312</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>3</td>\n",
       "      <td>26</td>\n",
       "      <td>21/07/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>275.312</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>11</td>\n",
       "      <td>19</td>\n",
       "      <td>11/07/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>275.312</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>11</td>\n",
       "      <td>19</td>\n",
       "      <td>14/07/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>275.312</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>21/07/2016</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>275.312</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>11</td>\n",
       "      <td>19</td>\n",
       "      <td>04/08/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>265.615</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>30</td>\n",
       "      <td>19</td>\n",
       "      <td>11/08/2016</td>\n",
       "      <td>157</td>\n",
       "      <td>27</td>\n",
       "      <td>29</td>\n",
       "      <td>265.615</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>11</td>\n",
       "      <td>23</td>\n",
       "      <td>07/08/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>265.615</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>9</td>\n",
       "      <td>18</td>\n",
       "      <td>08/08/2016</td>\n",
       "      <td>228</td>\n",
       "      <td>14</td>\n",
       "      <td>58</td>\n",
       "      <td>265.615</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>26</td>\n",
       "      <td>13</td>\n",
       "      <td>10/08/2016</td>\n",
       "      <td>300</td>\n",
       "      <td>26</td>\n",
       "      <td>43</td>\n",
       "      <td>265.615</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>26</td>\n",
       "      <td>14</td>\n",
       "      <td>10/08/2016</td>\n",
       "      <td>300</td>\n",
       "      <td>26</td>\n",
       "      <td>43</td>\n",
       "      <td>265.615</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>11/08/2016</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>265.615</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>11</td>\n",
       "      <td>23</td>\n",
       "      <td>08/08/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>265.615</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>33</td>\n",
       "      <td>23</td>\n",
       "      <td>09/08/2016</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>265.615</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>21</td>\n",
       "      <td>11</td>\n",
       "      <td>10/08/2016</td>\n",
       "      <td>268</td>\n",
       "      <td>11</td>\n",
       "      <td>33</td>\n",
       "      <td>265.615</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>22</td>\n",
       "      <td>23</td>\n",
       "      <td>10/08/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>265.615</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>36</td>\n",
       "      <td>13</td>\n",
       "      <td>10/08/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>265.615</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>33</td>\n",
       "      <td>25</td>\n",
       "      <td>14/08/2016</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>265.615</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>15/08/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>265.615</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>36</td>\n",
       "      <td>23</td>\n",
       "      <td>17/08/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>265.615</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>24/08/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>265.615</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>08/08/2016</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>265.615</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>27</td>\n",
       "      <td>6</td>\n",
       "      <td>30/08/2016</td>\n",
       "      <td>184</td>\n",
       "      <td>42</td>\n",
       "      <td>27</td>\n",
       "      <td>265.615</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>05/09/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>294.217</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>09/09/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>294.217</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>11</td>\n",
       "      <td>19</td>\n",
       "      <td>07/09/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>294.217</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>08/09/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>20</td>\n",
       "      <td>43</td>\n",
       "      <td>294.217</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>24</td>\n",
       "      <td>9</td>\n",
       "      <td>12/09/2016</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>294.217</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>15</td>\n",
       "      <td>28</td>\n",
       "      <td>13/09/2016</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>294.217</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>13/09/2016</td>\n",
       "      <td>231</td>\n",
       "      <td>35</td>\n",
       "      <td>39</td>\n",
       "      <td>294.217</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>13/09/2016</td>\n",
       "      <td>291</td>\n",
       "      <td>50</td>\n",
       "      <td>32</td>\n",
       "      <td>294.217</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>14/09/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>294.217</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>24</td>\n",
       "      <td>9</td>\n",
       "      <td>14/09/2016</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>294.217</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>15/09/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>294.217</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>15</td>\n",
       "      <td>28</td>\n",
       "      <td>16/09/2016</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>294.217</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>16/09/2016</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>294.217</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>5</td>\n",
       "      <td>26</td>\n",
       "      <td>14/09/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>20</td>\n",
       "      <td>43</td>\n",
       "      <td>294.217</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>36</td>\n",
       "      <td>28</td>\n",
       "      <td>15/09/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>294.217</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>15/09/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>20</td>\n",
       "      <td>43</td>\n",
       "      <td>294.217</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>15</td>\n",
       "      <td>28</td>\n",
       "      <td>16/09/2016</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>294.217</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "      <td>26/09/2016</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>294.217</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>26/09/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>294.217</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>11</td>\n",
       "      <td>24</td>\n",
       "      <td>05/10/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>265.017</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>1</td>\n",
       "      <td>26</td>\n",
       "      <td>05/10/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>265.017</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>11</td>\n",
       "      <td>26</td>\n",
       "      <td>05/10/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>265.017</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>06/10/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>265.017</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>06/10/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>265.017</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>06/10/2016</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>265.017</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>12/10/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>265.017</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>34</td>\n",
       "      <td>7</td>\n",
       "      <td>12/10/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>265.017</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>13</td>\n",
       "      <td>22</td>\n",
       "      <td>12/10/2016</td>\n",
       "      <td>369</td>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>265.017</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>14/10/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>265.017</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>14/10/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>265.017</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>14/10/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>20</td>\n",
       "      <td>43</td>\n",
       "      <td>265.017</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>11</td>\n",
       "      <td>19</td>\n",
       "      <td>15/10/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>265.017</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>16/10/2016</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>265.017</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>16/10/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>20</td>\n",
       "      <td>43</td>\n",
       "      <td>265.017</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>5</td>\n",
       "      <td>23</td>\n",
       "      <td>19/10/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>20</td>\n",
       "      <td>43</td>\n",
       "      <td>265.017</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>5</td>\n",
       "      <td>23</td>\n",
       "      <td>19/10/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>20</td>\n",
       "      <td>43</td>\n",
       "      <td>265.017</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>36</td>\n",
       "      <td>28</td>\n",
       "      <td>20/10/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>265.017</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>15</td>\n",
       "      <td>28</td>\n",
       "      <td>20/10/2016</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>265.017</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>22</td>\n",
       "      <td>23</td>\n",
       "      <td>22/10/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>265.017</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>36</td>\n",
       "      <td>28</td>\n",
       "      <td>22/10/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>265.017</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>26/10/2016</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>265.017</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>27/10/2016</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>265.017</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>27/10/2016</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>265.017</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>27/10/2016</td>\n",
       "      <td>157</td>\n",
       "      <td>27</td>\n",
       "      <td>29</td>\n",
       "      <td>265.017</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>28/10/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>265.017</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>22</td>\n",
       "      <td>7</td>\n",
       "      <td>28/10/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>265.017</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>36</td>\n",
       "      <td>23</td>\n",
       "      <td>29/10/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>265.017</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>34</td>\n",
       "      <td>11</td>\n",
       "      <td>07/11/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>284.031</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>33</td>\n",
       "      <td>23</td>\n",
       "      <td>07/11/2016</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>284.031</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>08/11/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>284.031</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>11/11/2016</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>284.031</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>15</td>\n",
       "      <td>23</td>\n",
       "      <td>14/11/2016</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>284.031</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>14/11/2016</td>\n",
       "      <td>378</td>\n",
       "      <td>49</td>\n",
       "      <td>36</td>\n",
       "      <td>284.031</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>14</td>\n",
       "      <td>11</td>\n",
       "      <td>14/11/2016</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>284.031</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>5</td>\n",
       "      <td>26</td>\n",
       "      <td>14/11/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>20</td>\n",
       "      <td>43</td>\n",
       "      <td>284.031</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>15/11/2016</td>\n",
       "      <td>330</td>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "      <td>284.031</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>16/11/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>284.031</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>34</td>\n",
       "      <td>11</td>\n",
       "      <td>16/11/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>284.031</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>17/11/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>284.031</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>17/11/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>284.031</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>24</td>\n",
       "      <td>13</td>\n",
       "      <td>18/11/2016</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>284.031</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>18/11/2016</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>284.031</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>24</td>\n",
       "      <td>13</td>\n",
       "      <td>21/11/2016</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>284.031</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>22/11/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>284.031</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>23/11/2016</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>284.031</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>20</td>\n",
       "      <td>15</td>\n",
       "      <td>25/11/2016</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>284.031</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>25/11/2016</td>\n",
       "      <td>378</td>\n",
       "      <td>49</td>\n",
       "      <td>36</td>\n",
       "      <td>284.031</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>29/11/2016</td>\n",
       "      <td>279</td>\n",
       "      <td>5</td>\n",
       "      <td>39</td>\n",
       "      <td>284.031</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>24/11/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>284.031</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>28</td>\n",
       "      <td>12</td>\n",
       "      <td>05/12/2016</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>236.629</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>05/12/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>236.629</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>05/12/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>236.629</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>05/12/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>236.629</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>36</td>\n",
       "      <td>28</td>\n",
       "      <td>06/12/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>236.629</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>09/12/2016</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>236.629</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>24</td>\n",
       "      <td>4</td>\n",
       "      <td>15/12/2016</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>236.629</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>15/12/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>236.629</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>16/12/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>236.629</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>22</td>\n",
       "      <td>23</td>\n",
       "      <td>20/12/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>236.629</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>34</td>\n",
       "      <td>25</td>\n",
       "      <td>20/12/2016</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>236.629</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>22/12/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>236.629</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>23/12/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>236.629</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>20/12/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>20</td>\n",
       "      <td>43</td>\n",
       "      <td>236.629</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>20/12/2016</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>236.629</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>20</td>\n",
       "      <td>26</td>\n",
       "      <td>21/12/2016</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>236.629</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>30</td>\n",
       "      <td>28</td>\n",
       "      <td>19/12/2016</td>\n",
       "      <td>157</td>\n",
       "      <td>27</td>\n",
       "      <td>29</td>\n",
       "      <td>236.629</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>19/12/2016</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>236.629</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>11</td>\n",
       "      <td>19</td>\n",
       "      <td>19/12/2016</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>236.629</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>04/01/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>330.061</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>34</td>\n",
       "      <td>19</td>\n",
       "      <td>09/01/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>330.061</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>14</td>\n",
       "      <td>23</td>\n",
       "      <td>09/01/2017</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>330.061</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>03/01/2017</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>330.061</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>14</td>\n",
       "      <td>23</td>\n",
       "      <td>03/01/2017</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>330.061</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>11</td>\n",
       "      <td>26</td>\n",
       "      <td>09/01/2017</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>330.061</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>11/01/2017</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>330.061</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>5</td>\n",
       "      <td>26</td>\n",
       "      <td>16/01/2017</td>\n",
       "      <td>235</td>\n",
       "      <td>20</td>\n",
       "      <td>43</td>\n",
       "      <td>330.061</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>36</td>\n",
       "      <td>26</td>\n",
       "      <td>16/01/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>330.061</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>25/01/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>330.061</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>368</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>27/01/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>330.061</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>369</th>\n",
       "      <td>34</td>\n",
       "      <td>28</td>\n",
       "      <td>07/02/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>251.818</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>01/02/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>251.818</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>371</th>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>01/02/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>251.818</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>03/02/2017</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>251.818</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>10/02/2017</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>251.818</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>374</th>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>17/02/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>251.818</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>13/02/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>251.818</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>15/02/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>251.818</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>16/02/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>251.818</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>24</td>\n",
       "      <td>26</td>\n",
       "      <td>16/02/2017</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>251.818</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>17/02/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>251.818</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>6</td>\n",
       "      <td>22</td>\n",
       "      <td>13/02/2017</td>\n",
       "      <td>189</td>\n",
       "      <td>29</td>\n",
       "      <td>33</td>\n",
       "      <td>251.818</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>13/02/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>251.818</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>24</td>\n",
       "      <td>23</td>\n",
       "      <td>21/02/2017</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>251.818</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>15</td>\n",
       "      <td>23</td>\n",
       "      <td>21/02/2017</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>251.818</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>30</td>\n",
       "      <td>11</td>\n",
       "      <td>22/02/2017</td>\n",
       "      <td>157</td>\n",
       "      <td>27</td>\n",
       "      <td>29</td>\n",
       "      <td>251.818</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>22/02/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>251.818</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>24/02/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>251.818</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>24</td>\n",
       "      <td>10</td>\n",
       "      <td>24/02/2017</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>251.818</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>22/02/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>251.818</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>24/02/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>251.818</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>34</td>\n",
       "      <td>18</td>\n",
       "      <td>07/03/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>244.387</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>24</td>\n",
       "      <td>19</td>\n",
       "      <td>08/03/2017</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>244.387</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>10/03/2017</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>244.387</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>10/03/2017</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>244.387</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>13/03/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>244.387</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>13/03/2017</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>244.387</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>17</td>\n",
       "      <td>22</td>\n",
       "      <td>14/03/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>244.387</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>23</td>\n",
       "      <td>22</td>\n",
       "      <td>14/03/2017</td>\n",
       "      <td>378</td>\n",
       "      <td>49</td>\n",
       "      <td>36</td>\n",
       "      <td>244.387</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>20/03/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>244.387</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>10</td>\n",
       "      <td>22</td>\n",
       "      <td>22/03/2017</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>244.387</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>22/03/2017</td>\n",
       "      <td>369</td>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>244.387</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401</th>\n",
       "      <td>1</td>\n",
       "      <td>21</td>\n",
       "      <td>23/03/2017</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>244.387</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>402</th>\n",
       "      <td>36</td>\n",
       "      <td>23</td>\n",
       "      <td>24/03/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>244.387</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403</th>\n",
       "      <td>36</td>\n",
       "      <td>14</td>\n",
       "      <td>28/03/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>244.387</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>404</th>\n",
       "      <td>36</td>\n",
       "      <td>13</td>\n",
       "      <td>29/03/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>244.387</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>30/03/2017</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>244.387</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406</th>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>30/03/2017</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>244.387</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>407</th>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>30/03/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>244.387</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>31/03/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>244.387</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>31/03/2017</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>244.387</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>20</td>\n",
       "      <td>19</td>\n",
       "      <td>27/03/2017</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>244.387</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>28/03/2017</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>244.387</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>05/04/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>239.409</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>07/04/2017</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>239.409</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>18</td>\n",
       "      <td>26</td>\n",
       "      <td>07/04/2017</td>\n",
       "      <td>330</td>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "      <td>239.409</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>13</td>\n",
       "      <td>22</td>\n",
       "      <td>10/04/2017</td>\n",
       "      <td>369</td>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>239.409</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>33</td>\n",
       "      <td>26</td>\n",
       "      <td>10/04/2017</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>239.409</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>18</td>\n",
       "      <td>23</td>\n",
       "      <td>12/04/2017</td>\n",
       "      <td>330</td>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "      <td>239.409</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>12/04/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>239.409</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>36</td>\n",
       "      <td>23</td>\n",
       "      <td>17/04/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>239.409</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>36</td>\n",
       "      <td>13</td>\n",
       "      <td>19/04/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>239.409</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>28/04/2017</td>\n",
       "      <td>300</td>\n",
       "      <td>26</td>\n",
       "      <td>43</td>\n",
       "      <td>239.409</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>28/04/2017</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>239.409</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>24/04/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>239.409</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>34</td>\n",
       "      <td>11</td>\n",
       "      <td>26/04/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>239.409</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>01/05/2017</td>\n",
       "      <td>235</td>\n",
       "      <td>20</td>\n",
       "      <td>43</td>\n",
       "      <td>246.074</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>33</td>\n",
       "      <td>23</td>\n",
       "      <td>03/05/2017</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>246.074</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>08/05/2017</td>\n",
       "      <td>369</td>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>246.074</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>22</td>\n",
       "      <td>23</td>\n",
       "      <td>10/05/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>246.074</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>10/05/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>246.074</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>10</td>\n",
       "      <td>23</td>\n",
       "      <td>11/05/2017</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>246.074</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>12/05/2017</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>246.074</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>17</td>\n",
       "      <td>11</td>\n",
       "      <td>15/05/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>246.074</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>17</td>\n",
       "      <td>8</td>\n",
       "      <td>15/05/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>246.074</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>9</td>\n",
       "      <td>18</td>\n",
       "      <td>17/05/2017</td>\n",
       "      <td>228</td>\n",
       "      <td>14</td>\n",
       "      <td>58</td>\n",
       "      <td>246.074</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>28</td>\n",
       "      <td>25</td>\n",
       "      <td>17/05/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>246.074</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>18</td>\n",
       "      <td>13</td>\n",
       "      <td>19/05/2017</td>\n",
       "      <td>330</td>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "      <td>246.074</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>22</td>\n",
       "      <td>25</td>\n",
       "      <td>22/05/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>246.074</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>34</td>\n",
       "      <td>28</td>\n",
       "      <td>22/05/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>246.074</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>439</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>29/05/2017</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>246.074</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>22</td>\n",
       "      <td>23</td>\n",
       "      <td>31/05/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>246.074</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>34</td>\n",
       "      <td>23</td>\n",
       "      <td>05/06/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>253.957</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>05/06/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>253.957</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>34</td>\n",
       "      <td>28</td>\n",
       "      <td>06/06/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>253.957</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>08/06/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>253.957</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445</th>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>09/06/2017</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>253.957</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>446</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>09/06/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>253.957</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447</th>\n",
       "      <td>15</td>\n",
       "      <td>13</td>\n",
       "      <td>12/06/2017</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>253.957</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>12/06/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>253.957</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>13/06/2017</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>253.957</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>19/06/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>253.957</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>5</td>\n",
       "      <td>26</td>\n",
       "      <td>20/06/2017</td>\n",
       "      <td>235</td>\n",
       "      <td>20</td>\n",
       "      <td>43</td>\n",
       "      <td>253.957</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>26/06/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>253.957</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>28/06/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>253.957</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>36</td>\n",
       "      <td>23</td>\n",
       "      <td>28/06/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>253.957</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>28/06/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>253.957</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>22</td>\n",
       "      <td>21</td>\n",
       "      <td>28/06/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>253.957</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>30/06/2017</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>253.957</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>18</td>\n",
       "      <td>11</td>\n",
       "      <td>27/06/2017</td>\n",
       "      <td>330</td>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "      <td>253.957</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>27/06/2017</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>253.957</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>22</td>\n",
       "      <td>23</td>\n",
       "      <td>06/07/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>230.290</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461</th>\n",
       "      <td>28</td>\n",
       "      <td>25</td>\n",
       "      <td>06/07/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>230.290</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>20</td>\n",
       "      <td>13</td>\n",
       "      <td>07/07/2017</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>230.290</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>463</th>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "      <td>10/07/2017</td>\n",
       "      <td>268</td>\n",
       "      <td>11</td>\n",
       "      <td>33</td>\n",
       "      <td>230.290</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>18</td>\n",
       "      <td>25</td>\n",
       "      <td>14/07/2017</td>\n",
       "      <td>330</td>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "      <td>230.290</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>34</td>\n",
       "      <td>26</td>\n",
       "      <td>14/07/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>230.290</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>20</td>\n",
       "      <td>26</td>\n",
       "      <td>17/07/2017</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>230.290</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>34</td>\n",
       "      <td>28</td>\n",
       "      <td>18/07/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>230.290</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>26</td>\n",
       "      <td>15</td>\n",
       "      <td>24/07/2017</td>\n",
       "      <td>300</td>\n",
       "      <td>26</td>\n",
       "      <td>43</td>\n",
       "      <td>230.290</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>24/07/2017</td>\n",
       "      <td>235</td>\n",
       "      <td>29</td>\n",
       "      <td>48</td>\n",
       "      <td>230.290</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>25/07/2017</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>230.290</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>28</td>\n",
       "      <td>9</td>\n",
       "      <td>25/07/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>230.290</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>25/07/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>230.290</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>36</td>\n",
       "      <td>23</td>\n",
       "      <td>28/07/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>230.290</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>10</td>\n",
       "      <td>22</td>\n",
       "      <td>28/07/2017</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>230.290</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>24/07/2017</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>230.290</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>5</td>\n",
       "      <td>26</td>\n",
       "      <td>24/07/2017</td>\n",
       "      <td>235</td>\n",
       "      <td>20</td>\n",
       "      <td>43</td>\n",
       "      <td>230.290</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>25/07/2017</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>230.290</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>478</th>\n",
       "      <td>15</td>\n",
       "      <td>28</td>\n",
       "      <td>27/07/2017</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>230.290</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>7</td>\n",
       "      <td>23</td>\n",
       "      <td>27/07/2017</td>\n",
       "      <td>279</td>\n",
       "      <td>5</td>\n",
       "      <td>39</td>\n",
       "      <td>230.290</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>3</td>\n",
       "      <td>25</td>\n",
       "      <td>03/08/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>249.797</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481</th>\n",
       "      <td>17</td>\n",
       "      <td>25</td>\n",
       "      <td>07/08/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>249.797</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>482</th>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>08/08/2017</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>249.797</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>34</td>\n",
       "      <td>28</td>\n",
       "      <td>08/08/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>249.797</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>484</th>\n",
       "      <td>11</td>\n",
       "      <td>26</td>\n",
       "      <td>08/08/2017</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>249.797</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>5</td>\n",
       "      <td>26</td>\n",
       "      <td>08/08/2017</td>\n",
       "      <td>235</td>\n",
       "      <td>20</td>\n",
       "      <td>43</td>\n",
       "      <td>249.797</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>486</th>\n",
       "      <td>15</td>\n",
       "      <td>28</td>\n",
       "      <td>10/08/2017</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>249.797</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>487</th>\n",
       "      <td>3</td>\n",
       "      <td>25</td>\n",
       "      <td>14/08/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>249.797</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>17</td>\n",
       "      <td>25</td>\n",
       "      <td>15/08/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>249.797</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489</th>\n",
       "      <td>18</td>\n",
       "      <td>23</td>\n",
       "      <td>17/08/2017</td>\n",
       "      <td>330</td>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "      <td>249.797</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>22/08/2017</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>249.797</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>491</th>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>22/08/2017</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>249.797</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>492</th>\n",
       "      <td>34</td>\n",
       "      <td>28</td>\n",
       "      <td>22/08/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>249.797</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>15</td>\n",
       "      <td>28</td>\n",
       "      <td>24/08/2017</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>249.797</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>494</th>\n",
       "      <td>20</td>\n",
       "      <td>28</td>\n",
       "      <td>28/08/2017</td>\n",
       "      <td>260</td>\n",
       "      <td>50</td>\n",
       "      <td>36</td>\n",
       "      <td>249.797</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>05/09/2017</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>261.756</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>05/09/2017</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>261.756</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>34</td>\n",
       "      <td>28</td>\n",
       "      <td>05/09/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>261.756</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>14</td>\n",
       "      <td>23</td>\n",
       "      <td>05/09/2017</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>261.756</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>15</td>\n",
       "      <td>28</td>\n",
       "      <td>07/09/2017</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>261.756</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>22</td>\n",
       "      <td>23</td>\n",
       "      <td>08/09/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>261.756</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>501</th>\n",
       "      <td>33</td>\n",
       "      <td>23</td>\n",
       "      <td>08/09/2017</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>261.756</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>11/09/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>261.756</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>503</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>13/09/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>261.756</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>504</th>\n",
       "      <td>22</td>\n",
       "      <td>23</td>\n",
       "      <td>18/09/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>261.756</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>505</th>\n",
       "      <td>13</td>\n",
       "      <td>23</td>\n",
       "      <td>19/09/2017</td>\n",
       "      <td>369</td>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>261.756</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>506</th>\n",
       "      <td>10</td>\n",
       "      <td>22</td>\n",
       "      <td>26/09/2017</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>261.756</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507</th>\n",
       "      <td>32</td>\n",
       "      <td>4</td>\n",
       "      <td>05/10/2017</td>\n",
       "      <td>289</td>\n",
       "      <td>48</td>\n",
       "      <td>49</td>\n",
       "      <td>284.853</td>\n",
       "      <td>36</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508</th>\n",
       "      <td>25</td>\n",
       "      <td>11</td>\n",
       "      <td>05/10/2017</td>\n",
       "      <td>235</td>\n",
       "      <td>16</td>\n",
       "      <td>32</td>\n",
       "      <td>284.853</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>509</th>\n",
       "      <td>24</td>\n",
       "      <td>26</td>\n",
       "      <td>06/10/2017</td>\n",
       "      <td>246</td>\n",
       "      <td>25</td>\n",
       "      <td>41</td>\n",
       "      <td>284.853</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>510</th>\n",
       "      <td>32</td>\n",
       "      <td>14</td>\n",
       "      <td>11/10/2017</td>\n",
       "      <td>289</td>\n",
       "      <td>48</td>\n",
       "      <td>49</td>\n",
       "      <td>284.853</td>\n",
       "      <td>36</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>511</th>\n",
       "      <td>15</td>\n",
       "      <td>28</td>\n",
       "      <td>11/10/2017</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>284.853</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>512</th>\n",
       "      <td>34</td>\n",
       "      <td>23</td>\n",
       "      <td>17/10/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>284.853</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513</th>\n",
       "      <td>32</td>\n",
       "      <td>23</td>\n",
       "      <td>19/10/2017</td>\n",
       "      <td>289</td>\n",
       "      <td>48</td>\n",
       "      <td>49</td>\n",
       "      <td>284.853</td>\n",
       "      <td>36</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514</th>\n",
       "      <td>15</td>\n",
       "      <td>23</td>\n",
       "      <td>20/10/2017</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>284.853</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>515</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>24/10/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>284.853</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>516</th>\n",
       "      <td>13</td>\n",
       "      <td>23</td>\n",
       "      <td>24/10/2017</td>\n",
       "      <td>369</td>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>284.853</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>517</th>\n",
       "      <td>13</td>\n",
       "      <td>23</td>\n",
       "      <td>24/10/2017</td>\n",
       "      <td>369</td>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>284.853</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>518</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>24/10/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>284.853</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>519</th>\n",
       "      <td>13</td>\n",
       "      <td>26</td>\n",
       "      <td>24/10/2017</td>\n",
       "      <td>369</td>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>284.853</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>520</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>25/10/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>284.853</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>521</th>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>25/10/2017</td>\n",
       "      <td>228</td>\n",
       "      <td>14</td>\n",
       "      <td>58</td>\n",
       "      <td>284.853</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>522</th>\n",
       "      <td>15</td>\n",
       "      <td>23</td>\n",
       "      <td>25/10/2017</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>284.853</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>523</th>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>26/10/2017</td>\n",
       "      <td>369</td>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>284.853</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>524</th>\n",
       "      <td>28</td>\n",
       "      <td>13</td>\n",
       "      <td>26/10/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>284.853</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>525</th>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>27/10/2017</td>\n",
       "      <td>369</td>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>284.853</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>526</th>\n",
       "      <td>28</td>\n",
       "      <td>10</td>\n",
       "      <td>27/10/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>284.853</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527</th>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "      <td>29/10/2017</td>\n",
       "      <td>189</td>\n",
       "      <td>29</td>\n",
       "      <td>33</td>\n",
       "      <td>284.853</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>528</th>\n",
       "      <td>25</td>\n",
       "      <td>6</td>\n",
       "      <td>29/10/2017</td>\n",
       "      <td>235</td>\n",
       "      <td>16</td>\n",
       "      <td>32</td>\n",
       "      <td>284.853</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>529</th>\n",
       "      <td>33</td>\n",
       "      <td>10</td>\n",
       "      <td>29/10/2017</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>284.853</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>530</th>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>29/10/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>284.853</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>531</th>\n",
       "      <td>28</td>\n",
       "      <td>13</td>\n",
       "      <td>31/10/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>284.853</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>3</td>\n",
       "      <td>21</td>\n",
       "      <td>07/11/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>268.519</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>533</th>\n",
       "      <td>34</td>\n",
       "      <td>28</td>\n",
       "      <td>08/11/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>268.519</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>534</th>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>08/11/2017</td>\n",
       "      <td>330</td>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "      <td>268.519</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>535</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>10/11/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>268.519</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>536</th>\n",
       "      <td>34</td>\n",
       "      <td>9</td>\n",
       "      <td>14/11/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>268.519</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>537</th>\n",
       "      <td>11</td>\n",
       "      <td>24</td>\n",
       "      <td>15/11/2017</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>268.519</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>538</th>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>17/11/2017</td>\n",
       "      <td>235</td>\n",
       "      <td>16</td>\n",
       "      <td>32</td>\n",
       "      <td>268.519</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>539</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>17/11/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>268.519</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>540</th>\n",
       "      <td>10</td>\n",
       "      <td>22</td>\n",
       "      <td>21/11/2017</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>268.519</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>541</th>\n",
       "      <td>15</td>\n",
       "      <td>28</td>\n",
       "      <td>22/11/2017</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>268.519</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542</th>\n",
       "      <td>34</td>\n",
       "      <td>13</td>\n",
       "      <td>23/11/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>268.519</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>543</th>\n",
       "      <td>28</td>\n",
       "      <td>14</td>\n",
       "      <td>23/11/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>268.519</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>544</th>\n",
       "      <td>3</td>\n",
       "      <td>28</td>\n",
       "      <td>27/11/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>268.519</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>545</th>\n",
       "      <td>34</td>\n",
       "      <td>23</td>\n",
       "      <td>27/11/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>268.519</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>546</th>\n",
       "      <td>34</td>\n",
       "      <td>8</td>\n",
       "      <td>28/11/2017</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>268.519</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>547</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>28/11/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>268.519</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>548</th>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>28/11/2017</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>268.519</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>549</th>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>29/11/2017</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>268.519</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>33</td>\n",
       "      <td>14</td>\n",
       "      <td>30/11/2017</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>268.519</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>551</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>30/11/2017</td>\n",
       "      <td>235</td>\n",
       "      <td>20</td>\n",
       "      <td>43</td>\n",
       "      <td>268.519</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>552</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>24/11/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>268.519</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>553</th>\n",
       "      <td>13</td>\n",
       "      <td>26</td>\n",
       "      <td>24/11/2017</td>\n",
       "      <td>369</td>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>268.519</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>554</th>\n",
       "      <td>10</td>\n",
       "      <td>28</td>\n",
       "      <td>27/11/2017</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>268.519</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>555</th>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>05/12/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>280.549</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>556</th>\n",
       "      <td>15</td>\n",
       "      <td>28</td>\n",
       "      <td>06/12/2017</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>280.549</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>557</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>06/12/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>280.549</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558</th>\n",
       "      <td>22</td>\n",
       "      <td>13</td>\n",
       "      <td>08/12/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>280.549</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>559</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>08/12/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>280.549</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>13/12/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>280.549</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>561</th>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>14/12/2017</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>280.549</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>17</td>\n",
       "      <td>18</td>\n",
       "      <td>15/12/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>280.549</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>5</td>\n",
       "      <td>26</td>\n",
       "      <td>15/12/2017</td>\n",
       "      <td>235</td>\n",
       "      <td>20</td>\n",
       "      <td>43</td>\n",
       "      <td>280.549</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "      <td>18/12/2017</td>\n",
       "      <td>233</td>\n",
       "      <td>51</td>\n",
       "      <td>31</td>\n",
       "      <td>280.549</td>\n",
       "      <td>21</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>22</td>\n",
       "      <td>13</td>\n",
       "      <td>19/12/2017</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>280.549</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>566</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>19/12/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>280.549</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>21/12/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>280.549</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>568</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>18/12/2017</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>280.549</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>14</td>\n",
       "      <td>18</td>\n",
       "      <td>19/12/2017</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>280.549</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>570</th>\n",
       "      <td>22</td>\n",
       "      <td>12</td>\n",
       "      <td>01/01/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>313.532</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>571</th>\n",
       "      <td>22</td>\n",
       "      <td>12</td>\n",
       "      <td>04/01/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>313.532</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>572</th>\n",
       "      <td>17</td>\n",
       "      <td>25</td>\n",
       "      <td>04/01/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>313.532</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>573</th>\n",
       "      <td>17</td>\n",
       "      <td>25</td>\n",
       "      <td>05/01/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>313.532</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>574</th>\n",
       "      <td>22</td>\n",
       "      <td>13</td>\n",
       "      <td>08/01/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>313.532</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>575</th>\n",
       "      <td>17</td>\n",
       "      <td>25</td>\n",
       "      <td>10/01/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>313.532</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>576</th>\n",
       "      <td>32</td>\n",
       "      <td>10</td>\n",
       "      <td>11/01/2018</td>\n",
       "      <td>289</td>\n",
       "      <td>48</td>\n",
       "      <td>49</td>\n",
       "      <td>313.532</td>\n",
       "      <td>36</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>577</th>\n",
       "      <td>17</td>\n",
       "      <td>18</td>\n",
       "      <td>12/01/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>313.532</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>578</th>\n",
       "      <td>22</td>\n",
       "      <td>27</td>\n",
       "      <td>15/01/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>313.532</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>579</th>\n",
       "      <td>14</td>\n",
       "      <td>18</td>\n",
       "      <td>16/01/2018</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>313.532</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>580</th>\n",
       "      <td>22</td>\n",
       "      <td>27</td>\n",
       "      <td>17/01/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>313.532</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>581</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>17/01/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>313.532</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>582</th>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "      <td>17/01/2018</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>313.532</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>583</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>18/01/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>313.532</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>584</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>26/01/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>313.532</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>585</th>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>06/02/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>264.249</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>586</th>\n",
       "      <td>28</td>\n",
       "      <td>23</td>\n",
       "      <td>06/02/2018</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>264.249</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>587</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>07/02/2018</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>264.249</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>588</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>07/02/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>264.249</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>589</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>08/02/2018</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>264.249</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>08/02/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>264.249</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591</th>\n",
       "      <td>22</td>\n",
       "      <td>27</td>\n",
       "      <td>08/02/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>264.249</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>29</td>\n",
       "      <td>28</td>\n",
       "      <td>09/02/2018</td>\n",
       "      <td>225</td>\n",
       "      <td>15</td>\n",
       "      <td>41</td>\n",
       "      <td>264.249</td>\n",
       "      <td>28</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>593</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>09/02/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>264.249</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>594</th>\n",
       "      <td>12</td>\n",
       "      <td>19</td>\n",
       "      <td>12/02/2018</td>\n",
       "      <td>233</td>\n",
       "      <td>51</td>\n",
       "      <td>31</td>\n",
       "      <td>264.249</td>\n",
       "      <td>21</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>595</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>12/02/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>264.249</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>596</th>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>13/02/2018</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>264.249</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>597</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>14/02/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>264.249</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>598</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>15/02/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>264.249</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>599</th>\n",
       "      <td>28</td>\n",
       "      <td>25</td>\n",
       "      <td>15/02/2018</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>264.249</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600</th>\n",
       "      <td>22</td>\n",
       "      <td>13</td>\n",
       "      <td>15/02/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>264.249</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601</th>\n",
       "      <td>17</td>\n",
       "      <td>23</td>\n",
       "      <td>16/02/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>264.249</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>602</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>16/02/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>264.249</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>21/02/2018</td>\n",
       "      <td>233</td>\n",
       "      <td>51</td>\n",
       "      <td>31</td>\n",
       "      <td>264.249</td>\n",
       "      <td>21</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>604</th>\n",
       "      <td>22</td>\n",
       "      <td>27</td>\n",
       "      <td>21/02/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>264.249</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>605</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>21/02/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>264.249</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>606</th>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>22/02/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>264.249</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>607</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>23/02/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>264.249</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>608</th>\n",
       "      <td>14</td>\n",
       "      <td>25</td>\n",
       "      <td>26/02/2018</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>264.249</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>609</th>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>26/02/2018</td>\n",
       "      <td>235</td>\n",
       "      <td>16</td>\n",
       "      <td>32</td>\n",
       "      <td>264.249</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>610</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>26/02/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>264.249</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>611</th>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>26/02/2018</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>264.249</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>612</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>27/02/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>264.249</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>613</th>\n",
       "      <td>33</td>\n",
       "      <td>23</td>\n",
       "      <td>27/02/2018</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>264.249</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>614</th>\n",
       "      <td>28</td>\n",
       "      <td>25</td>\n",
       "      <td>27/02/2018</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>264.249</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>615</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>28/02/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>264.249</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>616</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>22/02/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>264.249</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>617</th>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>23/02/2018</td>\n",
       "      <td>235</td>\n",
       "      <td>16</td>\n",
       "      <td>32</td>\n",
       "      <td>264.249</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>618</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>05/03/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>222.196</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>619</th>\n",
       "      <td>33</td>\n",
       "      <td>23</td>\n",
       "      <td>05/03/2018</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>222.196</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>620</th>\n",
       "      <td>9</td>\n",
       "      <td>25</td>\n",
       "      <td>06/03/2018</td>\n",
       "      <td>228</td>\n",
       "      <td>14</td>\n",
       "      <td>58</td>\n",
       "      <td>222.196</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>621</th>\n",
       "      <td>33</td>\n",
       "      <td>25</td>\n",
       "      <td>06/03/2018</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>222.196</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>622</th>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>06/03/2018</td>\n",
       "      <td>228</td>\n",
       "      <td>14</td>\n",
       "      <td>58</td>\n",
       "      <td>222.196</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>623</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>07/03/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>222.196</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>624</th>\n",
       "      <td>28</td>\n",
       "      <td>27</td>\n",
       "      <td>08/03/2018</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>222.196</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>625</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>08/03/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>222.196</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>626</th>\n",
       "      <td>28</td>\n",
       "      <td>25</td>\n",
       "      <td>08/03/2018</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>222.196</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>627</th>\n",
       "      <td>22</td>\n",
       "      <td>27</td>\n",
       "      <td>09/03/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>222.196</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>628</th>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>12/03/2018</td>\n",
       "      <td>235</td>\n",
       "      <td>16</td>\n",
       "      <td>32</td>\n",
       "      <td>222.196</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>629</th>\n",
       "      <td>10</td>\n",
       "      <td>19</td>\n",
       "      <td>12/03/2018</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>222.196</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>630</th>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>13/03/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>222.196</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>631</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>14/03/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>222.196</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>632</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>15/03/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>222.196</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>633</th>\n",
       "      <td>22</td>\n",
       "      <td>27</td>\n",
       "      <td>16/03/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>222.196</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>634</th>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>19/03/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>222.196</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>635</th>\n",
       "      <td>33</td>\n",
       "      <td>13</td>\n",
       "      <td>19/03/2018</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>222.196</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>636</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>19/03/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>222.196</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>637</th>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>19/03/2018</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>222.196</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>638</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>20/03/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>222.196</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>639</th>\n",
       "      <td>11</td>\n",
       "      <td>23</td>\n",
       "      <td>21/03/2018</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>222.196</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>640</th>\n",
       "      <td>9</td>\n",
       "      <td>25</td>\n",
       "      <td>21/03/2018</td>\n",
       "      <td>228</td>\n",
       "      <td>14</td>\n",
       "      <td>58</td>\n",
       "      <td>222.196</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>641</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>21/03/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>222.196</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>642</th>\n",
       "      <td>33</td>\n",
       "      <td>23</td>\n",
       "      <td>22/03/2018</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>222.196</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>643</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>22/03/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>222.196</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>644</th>\n",
       "      <td>22</td>\n",
       "      <td>23</td>\n",
       "      <td>23/03/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>222.196</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>645</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>23/03/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>222.196</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>646</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>27/03/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>222.196</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>647</th>\n",
       "      <td>16</td>\n",
       "      <td>23</td>\n",
       "      <td>28/03/2018</td>\n",
       "      <td>118</td>\n",
       "      <td>15</td>\n",
       "      <td>46</td>\n",
       "      <td>222.196</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>648</th>\n",
       "      <td>14</td>\n",
       "      <td>13</td>\n",
       "      <td>28/03/2018</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>222.196</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>649</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>28/03/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>222.196</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>650</th>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>29/03/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>38</td>\n",
       "      <td>222.196</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>651</th>\n",
       "      <td>22</td>\n",
       "      <td>13</td>\n",
       "      <td>26/03/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>222.196</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>652</th>\n",
       "      <td>11</td>\n",
       "      <td>19</td>\n",
       "      <td>26/03/2018</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>222.196</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>653</th>\n",
       "      <td>13</td>\n",
       "      <td>22</td>\n",
       "      <td>28/03/2018</td>\n",
       "      <td>369</td>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>222.196</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>654</th>\n",
       "      <td>28</td>\n",
       "      <td>13</td>\n",
       "      <td>02/04/2018</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>246.288</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>655</th>\n",
       "      <td>34</td>\n",
       "      <td>10</td>\n",
       "      <td>02/04/2018</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>246.288</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>656</th>\n",
       "      <td>10</td>\n",
       "      <td>19</td>\n",
       "      <td>03/04/2018</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>246.288</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>657</th>\n",
       "      <td>33</td>\n",
       "      <td>19</td>\n",
       "      <td>04/04/2018</td>\n",
       "      <td>248</td>\n",
       "      <td>25</td>\n",
       "      <td>47</td>\n",
       "      <td>246.288</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>658</th>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>05/04/2018</td>\n",
       "      <td>189</td>\n",
       "      <td>29</td>\n",
       "      <td>33</td>\n",
       "      <td>246.288</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>659</th>\n",
       "      <td>22</td>\n",
       "      <td>27</td>\n",
       "      <td>06/04/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>246.288</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>660</th>\n",
       "      <td>13</td>\n",
       "      <td>7</td>\n",
       "      <td>09/04/2018</td>\n",
       "      <td>369</td>\n",
       "      <td>17</td>\n",
       "      <td>31</td>\n",
       "      <td>246.288</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>661</th>\n",
       "      <td>17</td>\n",
       "      <td>16</td>\n",
       "      <td>10/04/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>246.288</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>36</td>\n",
       "      <td>23</td>\n",
       "      <td>10/04/2018</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>246.288</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>663</th>\n",
       "      <td>10</td>\n",
       "      <td>23</td>\n",
       "      <td>10/04/2018</td>\n",
       "      <td>361</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>246.288</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>664</th>\n",
       "      <td>34</td>\n",
       "      <td>10</td>\n",
       "      <td>11/04/2018</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>246.288</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>665</th>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>13/04/2018</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>246.288</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>666</th>\n",
       "      <td>22</td>\n",
       "      <td>27</td>\n",
       "      <td>13/04/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>246.288</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>667</th>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>16/04/2018</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>246.288</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>668</th>\n",
       "      <td>25</td>\n",
       "      <td>16</td>\n",
       "      <td>17/04/2018</td>\n",
       "      <td>235</td>\n",
       "      <td>16</td>\n",
       "      <td>32</td>\n",
       "      <td>246.288</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>669</th>\n",
       "      <td>22</td>\n",
       "      <td>27</td>\n",
       "      <td>20/04/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>246.288</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>670</th>\n",
       "      <td>14</td>\n",
       "      <td>28</td>\n",
       "      <td>24/04/2018</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>246.288</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>671</th>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>26/04/2018</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>246.288</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>672</th>\n",
       "      <td>36</td>\n",
       "      <td>14</td>\n",
       "      <td>26/04/2018</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>246.288</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>673</th>\n",
       "      <td>22</td>\n",
       "      <td>27</td>\n",
       "      <td>27/04/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>246.288</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>674</th>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>07/05/2018</td>\n",
       "      <td>235</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>237.656</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>675</th>\n",
       "      <td>29</td>\n",
       "      <td>19</td>\n",
       "      <td>09/05/2018</td>\n",
       "      <td>225</td>\n",
       "      <td>15</td>\n",
       "      <td>41</td>\n",
       "      <td>237.656</td>\n",
       "      <td>28</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>676</th>\n",
       "      <td>25</td>\n",
       "      <td>28</td>\n",
       "      <td>09/05/2018</td>\n",
       "      <td>235</td>\n",
       "      <td>16</td>\n",
       "      <td>32</td>\n",
       "      <td>237.656</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>677</th>\n",
       "      <td>34</td>\n",
       "      <td>8</td>\n",
       "      <td>09/05/2018</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>237.656</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>678</th>\n",
       "      <td>5</td>\n",
       "      <td>26</td>\n",
       "      <td>09/05/2018</td>\n",
       "      <td>235</td>\n",
       "      <td>20</td>\n",
       "      <td>43</td>\n",
       "      <td>237.656</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>22</td>\n",
       "      <td>13</td>\n",
       "      <td>10/05/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>237.656</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>680</th>\n",
       "      <td>15</td>\n",
       "      <td>28</td>\n",
       "      <td>10/05/2018</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>237.656</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>681</th>\n",
       "      <td>29</td>\n",
       "      <td>14</td>\n",
       "      <td>10/05/2018</td>\n",
       "      <td>225</td>\n",
       "      <td>15</td>\n",
       "      <td>41</td>\n",
       "      <td>237.656</td>\n",
       "      <td>28</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>26</td>\n",
       "      <td>19</td>\n",
       "      <td>11/05/2018</td>\n",
       "      <td>300</td>\n",
       "      <td>26</td>\n",
       "      <td>43</td>\n",
       "      <td>237.656</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>683</th>\n",
       "      <td>29</td>\n",
       "      <td>22</td>\n",
       "      <td>11/05/2018</td>\n",
       "      <td>225</td>\n",
       "      <td>15</td>\n",
       "      <td>41</td>\n",
       "      <td>237.656</td>\n",
       "      <td>28</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</th>\n",
       "      <td>22</td>\n",
       "      <td>27</td>\n",
       "      <td>11/05/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>237.656</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685</th>\n",
       "      <td>36</td>\n",
       "      <td>23</td>\n",
       "      <td>14/05/2018</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>237.656</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>686</th>\n",
       "      <td>36</td>\n",
       "      <td>5</td>\n",
       "      <td>15/05/2018</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>237.656</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>687</th>\n",
       "      <td>34</td>\n",
       "      <td>28</td>\n",
       "      <td>15/05/2018</td>\n",
       "      <td>118</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>237.656</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>688</th>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>15/05/2018</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>237.656</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>689</th>\n",
       "      <td>22</td>\n",
       "      <td>27</td>\n",
       "      <td>16/05/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>237.656</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>16/05/2018</td>\n",
       "      <td>378</td>\n",
       "      <td>49</td>\n",
       "      <td>36</td>\n",
       "      <td>237.656</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691</th>\n",
       "      <td>17</td>\n",
       "      <td>16</td>\n",
       "      <td>18/05/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>237.656</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>21/05/2018</td>\n",
       "      <td>155</td>\n",
       "      <td>12</td>\n",
       "      <td>34</td>\n",
       "      <td>237.656</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>25</td>\n",
       "      <td>10</td>\n",
       "      <td>21/05/2018</td>\n",
       "      <td>235</td>\n",
       "      <td>16</td>\n",
       "      <td>32</td>\n",
       "      <td>237.656</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>694</th>\n",
       "      <td>15</td>\n",
       "      <td>22</td>\n",
       "      <td>23/05/2018</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>237.656</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>17</td>\n",
       "      <td>10</td>\n",
       "      <td>23/05/2018</td>\n",
       "      <td>179</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>237.656</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>696</th>\n",
       "      <td>28</td>\n",
       "      <td>6</td>\n",
       "      <td>23/05/2018</td>\n",
       "      <td>225</td>\n",
       "      <td>26</td>\n",
       "      <td>28</td>\n",
       "      <td>237.656</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>697</th>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>24/05/2018</td>\n",
       "      <td>330</td>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "      <td>237.656</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>698</th>\n",
       "      <td>25</td>\n",
       "      <td>23</td>\n",
       "      <td>24/05/2018</td>\n",
       "      <td>235</td>\n",
       "      <td>16</td>\n",
       "      <td>32</td>\n",
       "      <td>237.656</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699</th>\n",
       "      <td>15</td>\n",
       "      <td>28</td>\n",
       "      <td>31/05/2018</td>\n",
       "      <td>291</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>237.656</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ID  Reason for Absence        Date  Transportation Expense  \\\n",
       "0    11                  26  07/07/2015                     289   \n",
       "1    36                   0  14/07/2015                     118   \n",
       "2     3                  23  15/07/2015                     179   \n",
       "3     7                   7  16/07/2015                     279   \n",
       "4    11                  23  23/07/2015                     289   \n",
       "5     3                  23  10/07/2015                     179   \n",
       "6    10                  22  17/07/2015                     361   \n",
       "7    20                  23  24/07/2015                     260   \n",
       "8    14                  19  06/07/2015                     155   \n",
       "9     1                  22  13/07/2015                     235   \n",
       "10   20                   1  20/07/2015                     260   \n",
       "11   20                   1  14/07/2015                     260   \n",
       "12   20                  11  15/07/2015                     260   \n",
       "13    3                  11  15/07/2015                     179   \n",
       "14    3                  23  15/07/2015                     179   \n",
       "15   24                  14  17/07/2015                     246   \n",
       "16    3                  23  17/07/2015                     179   \n",
       "17    3                  21  27/07/2015                     179   \n",
       "18    6                  11  30/07/2015                     189   \n",
       "19   33                  23  05/08/2015                     248   \n",
       "20   18                  10  12/08/2015                     330   \n",
       "21    3                  11  03/08/2015                     179   \n",
       "22   10                  13  10/08/2015                     361   \n",
       "23   20                  28  14/08/2015                     260   \n",
       "24   11                  18  17/08/2015                     289   \n",
       "25   10                  25  24/08/2015                     361   \n",
       "26   11                  23  04/08/2015                     289   \n",
       "27   30                  28  12/08/2015                     157   \n",
       "28   11                  18  19/08/2015                     289   \n",
       "29    3                  23  28/08/2015                     179   \n",
       "30    3                  18  17/08/2015                     179   \n",
       "31    2                  18  27/08/2015                     235   \n",
       "32    1                  23  27/08/2015                     235   \n",
       "33    2                  18  17/08/2015                     235   \n",
       "34    3                  23  17/08/2015                     179   \n",
       "35   10                  23  17/08/2015                     361   \n",
       "36   11                  24  04/08/2015                     289   \n",
       "37   19                  11  20/08/2015                     291   \n",
       "38    2                  28  21/08/2015                     235   \n",
       "39   20                  23  28/08/2015                     260   \n",
       "40   27                  23  01/09/2015                     184   \n",
       "41   34                  23  07/09/2015                     118   \n",
       "42    3                  23  01/09/2015                     179   \n",
       "43    5                  19  08/09/2015                     235   \n",
       "44   14                  23  09/09/2015                     155   \n",
       "45   34                  23  13/09/2015                     118   \n",
       "46    3                  23  14/09/2015                     179   \n",
       "47   15                  23  24/09/2015                     291   \n",
       "48   20                  22  04/09/2015                     260   \n",
       "49   15                  14  14/09/2015                     291   \n",
       "50   20                   0  21/09/2015                     260   \n",
       "51   29                   0  28/09/2015                     225   \n",
       "52   28                  23  08/09/2015                     225   \n",
       "53   34                  23  15/09/2015                     118   \n",
       "54   11                   0  22/09/2015                     289   \n",
       "55   36                   0  29/09/2015                     118   \n",
       "56   28                  18  16/09/2015                     225   \n",
       "57    3                  23  23/09/2015                     179   \n",
       "58   13                   0  30/09/2015                     369   \n",
       "59   33                  23  11/09/2015                     248   \n",
       "60    3                  23  18/09/2015                     179   \n",
       "61   20                  23  25/09/2015                     260   \n",
       "62    3                  23  06/10/2015                     179   \n",
       "63   34                  23  13/10/2015                     118   \n",
       "64   36                   0  14/10/2015                     118   \n",
       "65   22                  23  15/10/2015                     179   \n",
       "66    3                  23  16/10/2015                     179   \n",
       "67   28                  23  16/10/2015                     225   \n",
       "68   34                  23  06/10/2015                     118   \n",
       "69   28                  23  14/10/2015                     225   \n",
       "70   33                  23  21/10/2015                     248   \n",
       "71   15                  23  22/10/2015                     291   \n",
       "72    3                  23  21/10/2015                     179   \n",
       "73   28                  23  21/10/2015                     225   \n",
       "74   20                  19  22/10/2015                     260   \n",
       "75   15                  14  13/10/2015                     291   \n",
       "76   28                  28  20/10/2015                     225   \n",
       "77   11                  26  21/10/2015                     289   \n",
       "78   10                  23  23/10/2015                     361   \n",
       "79   20                  28  30/10/2015                     260   \n",
       "80    3                  23  05/11/2015                     179   \n",
       "81   28                  23  04/11/2015                     225   \n",
       "82    3                  13  05/11/2015                     179   \n",
       "83   17                  21  12/11/2015                     179   \n",
       "84   15                  23  19/11/2015                     291   \n",
       "85   14                  10  02/11/2015                     155   \n",
       "86    6                  22  09/11/2015                     189   \n",
       "87   15                  14  16/11/2015                     291   \n",
       "88   28                  23  18/11/2015                     225   \n",
       "89   14                   6  20/11/2015                     155   \n",
       "90   28                  23  18/11/2015                     225   \n",
       "91   17                  21  25/11/2015                     179   \n",
       "92   28                  13  20/11/2015                     225   \n",
       "93   20                  28  27/11/2015                     260   \n",
       "94   33                  28  02/11/2015                     248   \n",
       "95   28                  28  10/11/2015                     225   \n",
       "96   11                   7  11/11/2015                     289   \n",
       "97   15                  23  26/11/2015                     291   \n",
       "98   33                  23  01/12/2015                     248   \n",
       "99   34                  19  01/12/2015                     118   \n",
       "100  36                  23  02/12/2015                     118   \n",
       "101   1                  26  02/12/2015                     235   \n",
       "102  28                  23  03/12/2015                     225   \n",
       "103  20                  26  04/12/2015                     260   \n",
       "104  34                  19  08/12/2015                     118   \n",
       "105  10                  22  09/12/2015                     361   \n",
       "106  28                  28  10/12/2015                     225   \n",
       "107  20                  28  11/12/2015                     260   \n",
       "108  28                  23  15/12/2015                     225   \n",
       "109  10                  22  16/12/2015                     361   \n",
       "110  34                  27  11/12/2015                     118   \n",
       "111  24                  19  18/12/2015                     246   \n",
       "112  28                  23  18/12/2015                     225   \n",
       "113  28                  23  06/01/2016                     225   \n",
       "114  34                  19  04/01/2016                     118   \n",
       "115  34                  27  05/01/2016                     118   \n",
       "116  14                  18  05/01/2016                     155   \n",
       "117  28                  27  06/01/2016                     225   \n",
       "118  27                  23  07/01/2016                     184   \n",
       "119  28                  28  07/01/2016                     225   \n",
       "120  28                  27  08/01/2016                     225   \n",
       "121  34                  27  11/01/2016                     118   \n",
       "122  28                  27  12/01/2016                     225   \n",
       "123  34                  27  12/01/2016                     118   \n",
       "124  34                  27  13/01/2016                     118   \n",
       "125  34                  27  14/01/2016                     118   \n",
       "126  34                  27  15/01/2016                     118   \n",
       "127  34                  27  11/01/2016                     118   \n",
       "128  34                  27  12/01/2016                     118   \n",
       "129  22                  18  12/01/2016                     179   \n",
       "130  11                  18  12/01/2016                     289   \n",
       "131  34                  27  13/01/2016                     118   \n",
       "132  27                  23  21/01/2016                     184   \n",
       "133  34                  27  28/01/2016                     118   \n",
       "134  34                  27  25/01/2016                     118   \n",
       "135  28                  23  26/01/2016                     225   \n",
       "136  11                  22  28/01/2016                     289   \n",
       "137  27                  23  05/02/2016                     184   \n",
       "138  24                   1  03/02/2016                     246   \n",
       "139   3                  11  10/02/2016                     179   \n",
       "140  14                  28  11/02/2016                     155   \n",
       "141   6                  23  11/02/2016                     189   \n",
       "142  20                  28  12/02/2016                     260   \n",
       "143  11                  22  12/02/2016                     289   \n",
       "144  31                  11  08/02/2016                     388   \n",
       "145  31                   1  09/02/2016                     388   \n",
       "146  28                  28  15/02/2016                     225   \n",
       "147  28                  23  09/02/2016                     225   \n",
       "148  22                  23  16/02/2016                     179   \n",
       "149  27                  23  23/02/2016                     184   \n",
       "150  28                  25  25/02/2016                     225   \n",
       "151  18                  18  15/02/2016                     330   \n",
       "152  18                  23  16/02/2016                     330   \n",
       "153  28                  23  17/02/2016                     225   \n",
       "154   6                  19  25/02/2016                     189   \n",
       "155  19                  28  01/03/2016                     291   \n",
       "156  20                  19  01/03/2016                     260   \n",
       "157  30                  19  08/03/2016                     157   \n",
       "158  17                  17  15/03/2016                     179   \n",
       "159  15                  22  16/03/2016                     291   \n",
       "160  20                  13  02/03/2016                     260   \n",
       "161  22                  13  03/03/2016                     179   \n",
       "162  33                  14  04/03/2016                     248   \n",
       "163  20                  13  04/03/2016                     260   \n",
       "164  17                  11  07/03/2016                     179   \n",
       "165  14                   1  14/03/2016                     155   \n",
       "166  20                  26  21/03/2016                     260   \n",
       "167  14                  13  22/03/2016                     155   \n",
       "168  11                   6  24/03/2016                     289   \n",
       "169  17                   8  24/03/2016                     179   \n",
       "170  20                  28  25/03/2016                     260   \n",
       "171  28                  23  25/03/2016                     225   \n",
       "172   7                  14  28/03/2016                     279   \n",
       "173   3                  13  29/03/2016                     179   \n",
       "174  28                  23  30/03/2016                     225   \n",
       "175  28                  11  28/03/2016                     225   \n",
       "176  22                  13  28/03/2016                     179   \n",
       "177  28                  11  29/03/2016                     225   \n",
       "178  28                  11  30/03/2016                     225   \n",
       "179   3                  13  30/03/2016                     179   \n",
       "180   7                  14  17/03/2016                     279   \n",
       "181  28                  28  18/03/2016                     225   \n",
       "182  33                  14  25/03/2016                     248   \n",
       "183  28                  28  28/03/2016                     225   \n",
       "184  15                  28  06/04/2016                     291   \n",
       "185  28                  23  13/04/2016                     225   \n",
       "186  14                  28  12/04/2016                     155   \n",
       "187  24                  13  13/04/2016                     246   \n",
       "188  14                  23  14/04/2016                     155   \n",
       "189  28                  28  15/04/2016                     225   \n",
       "190  20                  28  15/04/2016                     260   \n",
       "191   3                  13  06/04/2016                     179   \n",
       "192  36                  23  07/04/2016                     118   \n",
       "193  15                  23  08/04/2016                     291   \n",
       "194  24                  14  08/04/2016                     246   \n",
       "195  15                  28  22/04/2016                     291   \n",
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       "581   3                  27  17/01/2018                     179   \n",
       "582  11                  13  17/01/2018                     289   \n",
       "583   3                  27  18/01/2018                     179   \n",
       "584   3                  27  26/01/2018                     179   \n",
       "585   3                  13  06/02/2018                     179   \n",
       "586  28                  23  06/02/2018                     225   \n",
       "587  33                   1  07/02/2018                     248   \n",
       "588   3                  27  07/02/2018                     179   \n",
       "589  28                  28  08/02/2018                     225   \n",
       "590   3                  27  08/02/2018                     179   \n",
       "591  22                  27  08/02/2018                     179   \n",
       "592  29                  28  09/02/2018                     225   \n",
       "593   3                  27  09/02/2018                     179   \n",
       "594  12                  19  12/02/2018                     233   \n",
       "595   3                  27  12/02/2018                     179   \n",
       "596  28                   7  13/02/2018                     225   \n",
       "597   3                  27  14/02/2018                     179   \n",
       "598   3                  27  15/02/2018                     179   \n",
       "599  28                  25  15/02/2018                     225   \n",
       "600  22                  13  15/02/2018                     179   \n",
       "601  17                  23  16/02/2018                     179   \n",
       "602   3                  27  16/02/2018                     179   \n",
       "603  12                  12  21/02/2018                     233   \n",
       "604  22                  27  21/02/2018                     179   \n",
       "605   3                  27  21/02/2018                     179   \n",
       "606   3                  13  22/02/2018                     179   \n",
       "607   3                  27  23/02/2018                     179   \n",
       "608  14                  25  26/02/2018                     155   \n",
       "609  25                  25  26/02/2018                     235   \n",
       "610   3                  27  26/02/2018                     179   \n",
       "611  28                   7  26/02/2018                     225   \n",
       "612   3                  27  27/02/2018                     179   \n",
       "613  33                  23  27/02/2018                     248   \n",
       "614  28                  25  27/02/2018                     225   \n",
       "615   3                  27  28/02/2018                     179   \n",
       "616   3                  27  22/02/2018                     179   \n",
       "617  25                  25  23/02/2018                     235   \n",
       "618   3                  27  05/03/2018                     179   \n",
       "619  33                  23  05/03/2018                     248   \n",
       "620   9                  25  06/03/2018                     228   \n",
       "621  33                  25  06/03/2018                     248   \n",
       "622   9                  12  06/03/2018                     228   \n",
       "623   3                  27  07/03/2018                     179   \n",
       "624  28                  27  08/03/2018                     225   \n",
       "625   3                  27  08/03/2018                     179   \n",
       "626  28                  25  08/03/2018                     225   \n",
       "627  22                  27  09/03/2018                     179   \n",
       "628  25                  25  12/03/2018                     235   \n",
       "629  10                  19  12/03/2018                     361   \n",
       "630   3                  13  13/03/2018                     179   \n",
       "631   3                  27  14/03/2018                     179   \n",
       "632   3                  27  15/03/2018                     179   \n",
       "633  22                  27  16/03/2018                     179   \n",
       "634   3                  10  19/03/2018                     179   \n",
       "635  33                  13  19/03/2018                     248   \n",
       "636   3                  27  19/03/2018                     179   \n",
       "637  28                   7  19/03/2018                     225   \n",
       "638   3                  27  20/03/2018                     179   \n",
       "639  11                  23  21/03/2018                     289   \n",
       "640   9                  25  21/03/2018                     228   \n",
       "641   3                  27  21/03/2018                     179   \n",
       "642  33                  23  22/03/2018                     248   \n",
       "643   3                  27  22/03/2018                     179   \n",
       "644  22                  23  23/03/2018                     179   \n",
       "645   3                  27  23/03/2018                     179   \n",
       "646   3                  27  27/03/2018                     179   \n",
       "647  16                  23  28/03/2018                     118   \n",
       "648  14                  13  28/03/2018                     155   \n",
       "649   3                  27  28/03/2018                     179   \n",
       "650   3                  27  29/03/2018                     179   \n",
       "651  22                  13  26/03/2018                     179   \n",
       "652  11                  19  26/03/2018                     289   \n",
       "653  13                  22  28/03/2018                     369   \n",
       "654  28                  13  02/04/2018                     225   \n",
       "655  34                  10  02/04/2018                     118   \n",
       "656  10                  19  03/04/2018                     361   \n",
       "657  33                  19  04/04/2018                     248   \n",
       "658   6                  13  05/04/2018                     189   \n",
       "659  22                  27  06/04/2018                     179   \n",
       "660  13                   7  09/04/2018                     369   \n",
       "661  17                  16  10/04/2018                     179   \n",
       "662  36                  23  10/04/2018                     118   \n",
       "663  10                  23  10/04/2018                     361   \n",
       "664  34                  10  11/04/2018                     118   \n",
       "665   1                  22  13/04/2018                     235   \n",
       "666  22                  27  13/04/2018                     179   \n",
       "667  28                  19  16/04/2018                     225   \n",
       "668  25                  16  17/04/2018                     235   \n",
       "669  22                  27  20/04/2018                     179   \n",
       "670  14                  28  24/04/2018                     155   \n",
       "671  28                  19  26/04/2018                     225   \n",
       "672  36                  14  26/04/2018                     118   \n",
       "673  22                  27  27/04/2018                     179   \n",
       "674   1                  22  07/05/2018                     235   \n",
       "675  29                  19  09/05/2018                     225   \n",
       "676  25                  28  09/05/2018                     235   \n",
       "677  34                   8  09/05/2018                     118   \n",
       "678   5                  26  09/05/2018                     235   \n",
       "679  22                  13  10/05/2018                     179   \n",
       "680  15                  28  10/05/2018                     291   \n",
       "681  29                  14  10/05/2018                     225   \n",
       "682  26                  19  11/05/2018                     300   \n",
       "683  29                  22  11/05/2018                     225   \n",
       "684  22                  27  11/05/2018                     179   \n",
       "685  36                  23  14/05/2018                     118   \n",
       "686  36                   5  15/05/2018                     118   \n",
       "687  34                  28  15/05/2018                     118   \n",
       "688  36                   0  15/05/2018                     118   \n",
       "689  22                  27  16/05/2018                     179   \n",
       "690  23                   0  16/05/2018                     378   \n",
       "691  17                  16  18/05/2018                     179   \n",
       "692  14                  10  21/05/2018                     155   \n",
       "693  25                  10  21/05/2018                     235   \n",
       "694  15                  22  23/05/2018                     291   \n",
       "695  17                  10  23/05/2018                     179   \n",
       "696  28                   6  23/05/2018                     225   \n",
       "697  18                  10  24/05/2018                     330   \n",
       "698  25                  23  24/05/2018                     235   \n",
       "699  15                  28  31/05/2018                     291   \n",
       "\n",
       "     Distance to Work  Age  Daily Work Load Average  Body Mass Index  \\\n",
       "0                  36   33                  239.554               30   \n",
       "1                  13   50                  239.554               31   \n",
       "2                  51   38                  239.554               31   \n",
       "3                   5   39                  239.554               24   \n",
       "4                  36   33                  239.554               30   \n",
       "5                  51   38                  239.554               31   \n",
       "6                  52   28                  239.554               27   \n",
       "7                  50   36                  239.554               23   \n",
       "8                  12   34                  239.554               25   \n",
       "9                  11   37                  239.554               29   \n",
       "10                 50   36                  239.554               23   \n",
       "11                 50   36                  239.554               23   \n",
       "12                 50   36                  239.554               23   \n",
       "13                 51   38                  239.554               31   \n",
       "14                 51   38                  239.554               31   \n",
       "15                 25   41                  239.554               23   \n",
       "16                 51   38                  239.554               31   \n",
       "17                 51   38                  239.554               31   \n",
       "18                 29   33                  239.554               25   \n",
       "19                 25   47                  205.917               32   \n",
       "20                 16   28                  205.917               25   \n",
       "21                 51   38                  205.917               31   \n",
       "22                 52   28                  205.917               27   \n",
       "23                 50   36                  205.917               23   \n",
       "24                 36   33                  205.917               30   \n",
       "25                 52   28                  205.917               27   \n",
       "26                 36   33                  205.917               30   \n",
       "27                 27   29                  205.917               22   \n",
       "28                 36   33                  205.917               30   \n",
       "29                 51   38                  205.917               31   \n",
       "30                 51   38                  205.917               31   \n",
       "31                 29   48                  205.917               33   \n",
       "32                 11   37                  205.917               29   \n",
       "33                 29   48                  205.917               33   \n",
       "34                 51   38                  205.917               31   \n",
       "35                 52   28                  205.917               27   \n",
       "36                 36   33                  205.917               30   \n",
       "37                 50   32                  205.917               23   \n",
       "38                 29   48                  205.917               33   \n",
       "39                 50   36                  205.917               23   \n",
       "40                 42   27                  241.476               21   \n",
       "41                 10   37                  241.476               28   \n",
       "42                 51   38                  241.476               31   \n",
       "43                 20   43                  241.476               38   \n",
       "44                 12   34                  241.476               25   \n",
       "45                 10   37                  241.476               28   \n",
       "46                 51   38                  241.476               31   \n",
       "47                 31   40                  241.476               25   \n",
       "48                 50   36                  241.476               23   \n",
       "49                 31   40                  241.476               25   \n",
       "50                 50   36                  241.476               23   \n",
       "51                 26   28                  241.476               24   \n",
       "52                 26   28                  241.476               24   \n",
       "53                 10   37                  241.476               28   \n",
       "54                 36   33                  241.476               30   \n",
       "55                 13   50                  241.476               31   \n",
       "56                 26   28                  241.476               24   \n",
       "57                 51   38                  241.476               31   \n",
       "58                 17   31                  241.476               25   \n",
       "59                 25   47                  241.476               32   \n",
       "60                 51   38                  241.476               31   \n",
       "61                 50   36                  241.476               23   \n",
       "62                 51   38                  253.465               31   \n",
       "63                 10   37                  253.465               28   \n",
       "64                 13   50                  253.465               31   \n",
       "65                 26   30                  253.465               19   \n",
       "66                 51   38                  253.465               31   \n",
       "67                 26   28                  253.465               24   \n",
       "68                 10   37                  253.465               28   \n",
       "69                 26   28                  253.465               24   \n",
       "70                 25   47                  253.465               32   \n",
       "71                 31   40                  253.465               25   \n",
       "72                 51   38                  253.465               31   \n",
       "73                 26   28                  253.465               24   \n",
       "74                 50   36                  253.465               23   \n",
       "75                 31   40                  253.465               25   \n",
       "76                 26   28                  253.465               24   \n",
       "77                 36   33                  253.465               30   \n",
       "78                 52   28                  253.465               27   \n",
       "79                 50   36                  253.465               23   \n",
       "80                 51   38                  306.345               31   \n",
       "81                 26   28                  306.345               24   \n",
       "82                 51   38                  306.345               31   \n",
       "83                 22   40                  306.345               22   \n",
       "84                 31   40                  306.345               25   \n",
       "85                 12   34                  306.345               25   \n",
       "86                 29   33                  306.345               25   \n",
       "87                 31   40                  306.345               25   \n",
       "88                 26   28                  306.345               24   \n",
       "89                 12   34                  306.345               25   \n",
       "90                 26   28                  306.345               24   \n",
       "91                 22   40                  306.345               22   \n",
       "92                 26   28                  306.345               24   \n",
       "93                 50   36                  306.345               23   \n",
       "94                 25   47                  306.345               32   \n",
       "95                 26   28                  306.345               24   \n",
       "96                 36   33                  306.345               30   \n",
       "97                 31   40                  306.345               25   \n",
       "98                 25   47                  261.306               32   \n",
       "99                 10   37                  261.306               28   \n",
       "100                13   50                  261.306               31   \n",
       "101                11   37                  261.306               29   \n",
       "102                26   28                  261.306               24   \n",
       "103                50   36                  261.306               23   \n",
       "104                10   37                  261.306               28   \n",
       "105                52   28                  261.306               27   \n",
       "106                26   28                  261.306               24   \n",
       "107                50   36                  261.306               23   \n",
       "108                26   28                  261.306               24   \n",
       "109                52   28                  261.306               27   \n",
       "110                10   37                  261.306               28   \n",
       "111                25   41                  261.306               23   \n",
       "112                26   28                  261.306               24   \n",
       "113                26   28                  308.593               24   \n",
       "114                10   37                  308.593               28   \n",
       "115                10   37                  308.593               28   \n",
       "116                12   34                  308.593               25   \n",
       "117                26   28                  308.593               24   \n",
       "118                42   27                  308.593               21   \n",
       "119                26   28                  308.593               24   \n",
       "120                26   28                  308.593               24   \n",
       "121                10   37                  308.593               28   \n",
       "122                26   28                  308.593               24   \n",
       "123                10   37                  308.593               28   \n",
       "124                10   37                  308.593               28   \n",
       "125                10   37                  308.593               28   \n",
       "126                10   37                  308.593               28   \n",
       "127                10   37                  308.593               28   \n",
       "128                10   37                  308.593               28   \n",
       "129                26   30                  308.593               19   \n",
       "130                36   33                  308.593               30   \n",
       "131                10   37                  308.593               28   \n",
       "132                42   27                  308.593               21   \n",
       "133                10   37                  308.593               28   \n",
       "134                10   37                  308.593               28   \n",
       "135                26   28                  308.593               24   \n",
       "136                36   33                  308.593               30   \n",
       "137                42   27                  302.585               21   \n",
       "138                25   41                  302.585               23   \n",
       "139                51   38                  302.585               31   \n",
       "140                12   34                  302.585               25   \n",
       "141                29   33                  302.585               25   \n",
       "142                50   36                  302.585               23   \n",
       "143                36   33                  302.585               30   \n",
       "144                15   50                  302.585               24   \n",
       "145                15   50                  302.585               24   \n",
       "146                26   28                  302.585               24   \n",
       "147                26   28                  302.585               24   \n",
       "148                26   30                  302.585               19   \n",
       "149                42   27                  302.585               21   \n",
       "150                26   28                  302.585               24   \n",
       "151                16   28                  302.585               25   \n",
       "152                16   28                  302.585               25   \n",
       "153                26   28                  302.585               24   \n",
       "154                29   33                  302.585               25   \n",
       "155                50   32                  343.253               23   \n",
       "156                50   36                  343.253               23   \n",
       "157                27   29                  343.253               22   \n",
       "158                22   40                  343.253               22   \n",
       "159                31   40                  343.253               25   \n",
       "160                50   36                  343.253               23   \n",
       "161                26   30                  343.253               19   \n",
       "162                25   47                  343.253               32   \n",
       "163                50   36                  343.253               23   \n",
       "164                22   40                  343.253               22   \n",
       "165                12   34                  343.253               25   \n",
       "166                50   36                  343.253               23   \n",
       "167                12   34                  343.253               25   \n",
       "168                36   33                  343.253               30   \n",
       "169                22   40                  343.253               22   \n",
       "170                50   36                  343.253               23   \n",
       "171                26   28                  343.253               24   \n",
       "172                 5   39                  343.253               24   \n",
       "173                51   38                  343.253               31   \n",
       "174                26   28                  343.253               24   \n",
       "175                26   28                  343.253               24   \n",
       "176                26   30                  343.253               19   \n",
       "177                26   28                  343.253               24   \n",
       "178                26   28                  343.253               24   \n",
       "179                51   38                  343.253               31   \n",
       "180                 5   39                  343.253               24   \n",
       "181                26   28                  343.253               24   \n",
       "182                25   47                  343.253               32   \n",
       "183                26   28                  343.253               24   \n",
       "184                31   40                  326.452               25   \n",
       "185                26   28                  326.452               24   \n",
       "186                12   34                  326.452               25   \n",
       "187                25   41                  326.452               23   \n",
       "188                12   34                  326.452               25   \n",
       "189                26   28                  326.452               24   \n",
       "190                50   36                  326.452               23   \n",
       "191                51   38                  326.452               31   \n",
       "192                13   50                  326.452               31   \n",
       "193                31   40                  326.452               25   \n",
       "194                25   41                  326.452               23   \n",
       "195                31   40                  326.452               25   \n",
       "196                25   47                  326.452               32   \n",
       "197                50   36                  326.452               23   \n",
       "198                36   33                  326.452               30   \n",
       "199                12   34                  326.452               25   \n",
       "200                49   36                  326.452               21   \n",
       "201                36   33                  326.452               30   \n",
       "202                11   37                  326.452               29   \n",
       "203                29   48                  326.452               33   \n",
       "204                36   33                  378.884               30   \n",
       "205                12   34                  378.884               25   \n",
       "206                12   34                  378.884               25   \n",
       "207                51   38                  378.884               31   \n",
       "208                26   28                  378.884               24   \n",
       "209                42   27                  378.884               21   \n",
       "210                12   34                  378.884               25   \n",
       "211                51   38                  378.884               31   \n",
       "212                36   33                  378.884               30   \n",
       "213                 5   39                  378.884               24   \n",
       "214                16   28                  378.884               25   \n",
       "215                49   36                  378.884               21   \n",
       "216                15   50                  378.884               24   \n",
       "217                51   38                  378.884               31   \n",
       "218                13   50                  378.884               31   \n",
       "219                52   28                  378.884               27   \n",
       "220                25   41                  377.550               23   \n",
       "221                52   28                  377.550               27   \n",
       "222                25   41                  377.550               23   \n",
       "223                31   40                  377.550               25   \n",
       "224                25   41                  377.550               23   \n",
       "225                51   38                  377.550               31   \n",
       "226                12   34                  377.550               25   \n",
       "227                25   41                  377.550               23   \n",
       "228                13   50                  377.550               31   \n",
       "229                11   37                  377.550               29   \n",
       "230                13   50                  377.550               31   \n",
       "231                13   50                  377.550               31   \n",
       "232                49   36                  377.550               21   \n",
       "233                51   38                  377.550               31   \n",
       "234                48   49                  377.550               36   \n",
       "235                26   28                  377.550               24   \n",
       "236                12   34                  275.312               25   \n",
       "237                13   50                  275.312               31   \n",
       "238                10   37                  275.312               28   \n",
       "239                10   37                  275.312               28   \n",
       "240                16   28                  275.312               25   \n",
       "241                26   30                  275.312               19   \n",
       "242                12   34                  275.312               25   \n",
       "243                16   28                  275.312               25   \n",
       "244                16   28                  275.312               25   \n",
       "245                27   29                  275.312               22   \n",
       "246                52   28                  275.312               27   \n",
       "247                36   33                  275.312               30   \n",
       "248                51   38                  275.312               31   \n",
       "249                36   33                  275.312               30   \n",
       "250                36   33                  275.312               30   \n",
       "251                50   36                  275.312               23   \n",
       "252                36   33                  265.615               30   \n",
       "253                27   29                  265.615               22   \n",
       "254                36   33                  265.615               30   \n",
       "255                14   58                  265.615               22   \n",
       "256                26   43                  265.615               25   \n",
       "257                26   43                  265.615               25   \n",
       "258                50   36                  265.615               23   \n",
       "259                36   33                  265.615               30   \n",
       "260                25   47                  265.615               32   \n",
       "261                11   33                  265.615               25   \n",
       "262                26   30                  265.615               19   \n",
       "263                13   50                  265.615               31   \n",
       "264                25   47                  265.615               32   \n",
       "265                11   37                  265.615               29   \n",
       "266                13   50                  265.615               31   \n",
       "267                11   37                  265.615               29   \n",
       "268                52   28                  265.615               27   \n",
       "269                42   27                  265.615               21   \n",
       "270                51   38                  294.217               31   \n",
       "271                51   38                  294.217               31   \n",
       "272                36   33                  294.217               30   \n",
       "273                20   43                  294.217               38   \n",
       "274                25   41                  294.217               23   \n",
       "275                31   40                  294.217               25   \n",
       "276                35   39                  294.217               35   \n",
       "277                50   32                  294.217               23   \n",
       "278                51   38                  294.217               31   \n",
       "279                25   41                  294.217               23   \n",
       "280                51   38                  294.217               31   \n",
       "281                31   40                  294.217               25   \n",
       "282                50   36                  294.217               23   \n",
       "283                20   43                  294.217               38   \n",
       "284                13   50                  294.217               31   \n",
       "285                20   43                  294.217               38   \n",
       "286                31   40                  294.217               25   \n",
       "287                31   40                  294.217               25   \n",
       "288                51   38                  294.217               31   \n",
       "289                36   33                  265.017               30   \n",
       "290                11   37                  265.017               29   \n",
       "291                36   33                  265.017               30   \n",
       "292                36   33                  265.017               30   \n",
       "293                13   50                  265.017               31   \n",
       "294                25   47                  265.017               32   \n",
       "295                26   30                  265.017               19   \n",
       "296                10   37                  265.017               28   \n",
       "297                17   31                  265.017               25   \n",
       "298                51   38                  265.017               31   \n",
       "299                26   30                  265.017               19   \n",
       "300                20   43                  265.017               38   \n",
       "301                36   33                  265.017               30   \n",
       "302                50   36                  265.017               23   \n",
       "303                20   43                  265.017               38   \n",
       "304                20   43                  265.017               38   \n",
       "305                20   43                  265.017               38   \n",
       "306                13   50                  265.017               31   \n",
       "307                31   40                  265.017               25   \n",
       "308                26   30                  265.017               19   \n",
       "309                13   50                  265.017               31   \n",
       "310                52   28                  265.017               27   \n",
       "311                50   36                  265.017               23   \n",
       "312                31   40                  265.017               25   \n",
       "313                27   29                  265.017               22   \n",
       "314                26   30                  265.017               19   \n",
       "315                26   30                  265.017               19   \n",
       "316                13   50                  265.017               31   \n",
       "317                10   37                  284.031               28   \n",
       "318                25   47                  284.031               32   \n",
       "319                51   38                  284.031               31   \n",
       "320                50   36                  284.031               23   \n",
       "321                31   40                  284.031               25   \n",
       "322                49   36                  284.031               21   \n",
       "323                12   34                  284.031               25   \n",
       "324                20   43                  284.031               38   \n",
       "325                16   28                  284.031               25   \n",
       "326                11   37                  284.031               29   \n",
       "327                10   37                  284.031               28   \n",
       "328                11   37                  284.031               29   \n",
       "329                51   38                  284.031               31   \n",
       "330                25   41                  284.031               23   \n",
       "331                31   40                  284.031               25   \n",
       "332                25   41                  284.031               23   \n",
       "333                51   38                  284.031               31   \n",
       "334                50   36                  284.031               23   \n",
       "335                50   36                  284.031               23   \n",
       "336                49   36                  284.031               21   \n",
       "337                 5   39                  284.031               24   \n",
       "338                51   38                  284.031               31   \n",
       "339                26   28                  236.629               24   \n",
       "340                51   38                  236.629               31   \n",
       "341                51   38                  236.629               31   \n",
       "342                11   37                  236.629               29   \n",
       "343                13   50                  236.629               31   \n",
       "344                50   36                  236.629               23   \n",
       "345                25   41                  236.629               23   \n",
       "346                51   38                  236.629               31   \n",
       "347                51   38                  236.629               31   \n",
       "348                26   30                  236.629               19   \n",
       "349                10   37                  236.629               28   \n",
       "350                11   37                  236.629               29   \n",
       "351                51   38                  236.629               31   \n",
       "352                20   43                  236.629               38   \n",
       "353                11   37                  236.629               29   \n",
       "354                50   36                  236.629               23   \n",
       "355                27   29                  236.629               22   \n",
       "356                51   38                  236.629               31   \n",
       "357                36   33                  236.629               30   \n",
       "358                26   28                  330.061               24   \n",
       "359                10   37                  330.061               28   \n",
       "360                12   34                  330.061               25   \n",
       "361                11   37                  330.061               29   \n",
       "362                12   34                  330.061               25   \n",
       "363                36   33                  330.061               30   \n",
       "364                31   40                  330.061               25   \n",
       "365                20   43                  330.061               38   \n",
       "366                13   50                  330.061               31   \n",
       "367                51   38                  330.061               31   \n",
       "368                51   38                  330.061               31   \n",
       "369                10   37                  251.818               28   \n",
       "370                51   38                  251.818               31   \n",
       "371                26   28                  251.818               24   \n",
       "372                36   33                  251.818               30   \n",
       "373                50   36                  251.818               23   \n",
       "374                51   38                  251.818               31   \n",
       "375                51   38                  251.818               31   \n",
       "376                51   38                  251.818               31   \n",
       "377                51   38                  251.818               31   \n",
       "378                25   41                  251.818               23   \n",
       "379                51   38                  251.818               31   \n",
       "380                29   33                  251.818               25   \n",
       "381                51   38                  251.818               31   \n",
       "382                25   41                  251.818               23   \n",
       "383                31   40                  251.818               25   \n",
       "384                27   29                  251.818               22   \n",
       "385                51   38                  251.818               31   \n",
       "386                51   38                  251.818               31   \n",
       "387                25   41                  251.818               23   \n",
       "388                51   38                  251.818               31   \n",
       "389                51   38                  251.818               31   \n",
       "390                10   37                  244.387               28   \n",
       "391                25   41                  244.387               23   \n",
       "392                25   41                  244.387               23   \n",
       "393                50   36                  244.387               23   \n",
       "394                51   38                  244.387               31   \n",
       "395                11   37                  244.387               29   \n",
       "396                22   40                  244.387               22   \n",
       "397                49   36                  244.387               21   \n",
       "398                51   38                  244.387               31   \n",
       "399                52   28                  244.387               27   \n",
       "400                17   31                  244.387               25   \n",
       "401                11   37                  244.387               29   \n",
       "402                13   50                  244.387               31   \n",
       "403                13   50                  244.387               31   \n",
       "404                13   50                  244.387               31   \n",
       "405                11   37                  244.387               29   \n",
       "406                25   41                  244.387               23   \n",
       "407                13   50                  244.387               31   \n",
       "408                51   38                  244.387               31   \n",
       "409                36   33                  244.387               30   \n",
       "410                50   36                  244.387               23   \n",
       "411                25   41                  244.387               23   \n",
       "412                51   38                  239.409               31   \n",
       "413                50   36                  239.409               23   \n",
       "414                16   28                  239.409               25   \n",
       "415                17   31                  239.409               25   \n",
       "416                25   47                  239.409               32   \n",
       "417                16   28                  239.409               25   \n",
       "418                51   38                  239.409               31   \n",
       "419                13   50                  239.409               31   \n",
       "420                13   50                  239.409               31   \n",
       "421                26   43                  239.409               25   \n",
       "422                50   36                  239.409               23   \n",
       "423                51   38                  239.409               31   \n",
       "424                10   37                  239.409               28   \n",
       "425                20   43                  246.074               38   \n",
       "426                25   47                  246.074               32   \n",
       "427                17   31                  246.074               25   \n",
       "428                26   30                  246.074               19   \n",
       "429                51   38                  246.074               31   \n",
       "430                52   28                  246.074               27   \n",
       "431                50   36                  246.074               23   \n",
       "432                22   40                  246.074               22   \n",
       "433                22   40                  246.074               22   \n",
       "434                14   58                  246.074               22   \n",
       "435                26   28                  246.074               24   \n",
       "436                16   28                  246.074               25   \n",
       "437                26   30                  246.074               19   \n",
       "438                10   37                  246.074               28   \n",
       "439                11   37                  246.074               29   \n",
       "440                26   30                  246.074               19   \n",
       "441                10   37                  253.957               28   \n",
       "442                51   38                  253.957               31   \n",
       "443                10   37                  253.957               28   \n",
       "444                26   28                  253.957               24   \n",
       "445                50   36                  253.957               23   \n",
       "446                51   38                  253.957               31   \n",
       "447                31   40                  253.957               25   \n",
       "448                51   38                  253.957               31   \n",
       "449                25   41                  253.957               23   \n",
       "450                51   38                  253.957               31   \n",
       "451                20   43                  253.957               38   \n",
       "452                51   38                  253.957               31   \n",
       "453                26   28                  253.957               24   \n",
       "454                13   50                  253.957               31   \n",
       "455                51   38                  253.957               31   \n",
       "456                26   30                  253.957               19   \n",
       "457                25   41                  253.957               23   \n",
       "458                16   28                  253.957               25   \n",
       "459                11   37                  253.957               29   \n",
       "460                26   30                  230.290               19   \n",
       "461                26   28                  230.290               24   \n",
       "462                50   36                  230.290               23   \n",
       "463                11   33                  230.290               25   \n",
       "464                16   28                  230.290               25   \n",
       "465                10   37                  230.290               28   \n",
       "466                50   36                  230.290               23   \n",
       "467                10   37                  230.290               28   \n",
       "468                26   43                  230.290               25   \n",
       "469                29   48                  230.290               33   \n",
       "470                25   41                  230.290               23   \n",
       "471                26   28                  230.290               24   \n",
       "472                51   38                  230.290               31   \n",
       "473                13   50                  230.290               31   \n",
       "474                52   28                  230.290               27   \n",
       "475                36   33                  230.290               30   \n",
       "476                20   43                  230.290               38   \n",
       "477                25   41                  230.290               23   \n",
       "478                31   40                  230.290               25   \n",
       "479                 5   39                  230.290               24   \n",
       "480                51   38                  249.797               31   \n",
       "481                22   40                  249.797               22   \n",
       "482                25   41                  249.797               23   \n",
       "483                10   37                  249.797               28   \n",
       "484                36   33                  249.797               30   \n",
       "485                20   43                  249.797               38   \n",
       "486                31   40                  249.797               25   \n",
       "487                51   38                  249.797               31   \n",
       "488                22   40                  249.797               22   \n",
       "489                16   28                  249.797               25   \n",
       "490                11   37                  249.797               29   \n",
       "491                25   41                  249.797               23   \n",
       "492                10   37                  249.797               28   \n",
       "493                31   40                  249.797               25   \n",
       "494                50   36                  249.797               23   \n",
       "495                25   41                  261.756               23   \n",
       "496                25   41                  261.756               23   \n",
       "497                10   37                  261.756               28   \n",
       "498                12   34                  261.756               25   \n",
       "499                31   40                  261.756               25   \n",
       "500                26   30                  261.756               19   \n",
       "501                25   47                  261.756               32   \n",
       "502                51   38                  261.756               31   \n",
       "503                26   28                  261.756               24   \n",
       "504                26   30                  261.756               19   \n",
       "505                17   31                  261.756               25   \n",
       "506                52   28                  261.756               27   \n",
       "507                48   49                  284.853               36   \n",
       "508                16   32                  284.853               25   \n",
       "509                25   41                  284.853               23   \n",
       "510                48   49                  284.853               36   \n",
       "511                31   40                  284.853               25   \n",
       "512                10   37                  284.853               28   \n",
       "513                48   49                  284.853               36   \n",
       "514                31   40                  284.853               25   \n",
       "515                26   28                  284.853               24   \n",
       "516                17   31                  284.853               25   \n",
       "517                17   31                  284.853               25   \n",
       "518                26   28                  284.853               24   \n",
       "519                17   31                  284.853               25   \n",
       "520                51   38                  284.853               31   \n",
       "521                14   58                  284.853               22   \n",
       "522                31   40                  284.853               25   \n",
       "523                17   31                  284.853               25   \n",
       "524                26   28                  284.853               24   \n",
       "525                17   31                  284.853               25   \n",
       "526                26   28                  284.853               24   \n",
       "527                29   33                  284.853               25   \n",
       "528                16   32                  284.853               25   \n",
       "529                25   47                  284.853               32   \n",
       "530                26   28                  284.853               24   \n",
       "531                26   28                  284.853               24   \n",
       "532                51   38                  268.519               31   \n",
       "533                10   37                  268.519               28   \n",
       "534                16   28                  268.519               25   \n",
       "535                51   38                  268.519               31   \n",
       "536                10   37                  268.519               28   \n",
       "537                36   33                  268.519               30   \n",
       "538                16   32                  268.519               25   \n",
       "539                26   28                  268.519               24   \n",
       "540                52   28                  268.519               27   \n",
       "541                31   40                  268.519               25   \n",
       "542                10   37                  268.519               28   \n",
       "543                26   28                  268.519               24   \n",
       "544                51   38                  268.519               31   \n",
       "545                10   37                  268.519               28   \n",
       "546                10   37                  268.519               28   \n",
       "547                26   28                  268.519               24   \n",
       "548                31   40                  268.519               25   \n",
       "549                36   33                  268.519               30   \n",
       "550                25   47                  268.519               32   \n",
       "551                20   43                  268.519               38   \n",
       "552                26   28                  268.519               24   \n",
       "553                17   31                  268.519               25   \n",
       "554                52   28                  268.519               27   \n",
       "555                51   38                  280.549               31   \n",
       "556                31   40                  280.549               25   \n",
       "557                26   28                  280.549               24   \n",
       "558                26   30                  280.549               19   \n",
       "559                26   28                  280.549               24   \n",
       "560                26   28                  280.549               24   \n",
       "561                52   28                  280.549               27   \n",
       "562                22   40                  280.549               22   \n",
       "563                20   43                  280.549               38   \n",
       "564                51   31                  280.549               21   \n",
       "565                26   30                  280.549               19   \n",
       "566                26   28                  280.549               24   \n",
       "567                26   28                  280.549               24   \n",
       "568                26   28                  280.549               24   \n",
       "569                12   34                  280.549               25   \n",
       "570                26   30                  313.532               19   \n",
       "571                26   30                  313.532               19   \n",
       "572                22   40                  313.532               22   \n",
       "573                22   40                  313.532               22   \n",
       "574                26   30                  313.532               19   \n",
       "575                22   40                  313.532               22   \n",
       "576                48   49                  313.532               36   \n",
       "577                22   40                  313.532               22   \n",
       "578                26   30                  313.532               19   \n",
       "579                12   34                  313.532               25   \n",
       "580                26   30                  313.532               19   \n",
       "581                51   38                  313.532               31   \n",
       "582                36   33                  313.532               30   \n",
       "583                51   38                  313.532               31   \n",
       "584                51   38                  313.532               31   \n",
       "585                51   38                  264.249               31   \n",
       "586                26   28                  264.249               24   \n",
       "587                25   47                  264.249               32   \n",
       "588                51   38                  264.249               31   \n",
       "589                26   28                  264.249               24   \n",
       "590                51   38                  264.249               31   \n",
       "591                26   30                  264.249               19   \n",
       "592                15   41                  264.249               28   \n",
       "593                51   38                  264.249               31   \n",
       "594                51   31                  264.249               21   \n",
       "595                51   38                  264.249               31   \n",
       "596                26   28                  264.249               24   \n",
       "597                51   38                  264.249               31   \n",
       "598                51   38                  264.249               31   \n",
       "599                26   28                  264.249               24   \n",
       "600                26   30                  264.249               19   \n",
       "601                22   40                  264.249               22   \n",
       "602                51   38                  264.249               31   \n",
       "603                51   31                  264.249               21   \n",
       "604                26   30                  264.249               19   \n",
       "605                51   38                  264.249               31   \n",
       "606                51   38                  264.249               31   \n",
       "607                51   38                  264.249               31   \n",
       "608                12   34                  264.249               25   \n",
       "609                16   32                  264.249               25   \n",
       "610                51   38                  264.249               31   \n",
       "611                26   28                  264.249               24   \n",
       "612                51   38                  264.249               31   \n",
       "613                25   47                  264.249               32   \n",
       "614                26   28                  264.249               24   \n",
       "615                51   38                  264.249               31   \n",
       "616                51   38                  264.249               31   \n",
       "617                16   32                  264.249               25   \n",
       "618                51   38                  222.196               31   \n",
       "619                25   47                  222.196               32   \n",
       "620                14   58                  222.196               22   \n",
       "621                25   47                  222.196               32   \n",
       "622                14   58                  222.196               22   \n",
       "623                51   38                  222.196               31   \n",
       "624                26   28                  222.196               24   \n",
       "625                51   38                  222.196               31   \n",
       "626                26   28                  222.196               24   \n",
       "627                26   30                  222.196               19   \n",
       "628                16   32                  222.196               25   \n",
       "629                52   28                  222.196               27   \n",
       "630                51   38                  222.196               31   \n",
       "631                51   38                  222.196               31   \n",
       "632                51   38                  222.196               31   \n",
       "633                26   30                  222.196               19   \n",
       "634                51   38                  222.196               31   \n",
       "635                25   47                  222.196               32   \n",
       "636                51   38                  222.196               31   \n",
       "637                26   28                  222.196               24   \n",
       "638                51   38                  222.196               31   \n",
       "639                36   33                  222.196               30   \n",
       "640                14   58                  222.196               22   \n",
       "641                51   38                  222.196               31   \n",
       "642                25   47                  222.196               32   \n",
       "643                51   38                  222.196               31   \n",
       "644                26   30                  222.196               19   \n",
       "645                51   38                  222.196               31   \n",
       "646                51   38                  222.196               31   \n",
       "647                15   46                  222.196               25   \n",
       "648                12   34                  222.196               25   \n",
       "649                51   38                  222.196               31   \n",
       "650                51   38                  222.196               31   \n",
       "651                26   30                  222.196               19   \n",
       "652                36   33                  222.196               30   \n",
       "653                17   31                  222.196               25   \n",
       "654                26   28                  246.288               24   \n",
       "655                10   37                  246.288               28   \n",
       "656                52   28                  246.288               27   \n",
       "657                25   47                  246.288               32   \n",
       "658                29   33                  246.288               25   \n",
       "659                26   30                  246.288               19   \n",
       "660                17   31                  246.288               25   \n",
       "661                22   40                  246.288               22   \n",
       "662                13   50                  246.288               31   \n",
       "663                52   28                  246.288               27   \n",
       "664                10   37                  246.288               28   \n",
       "665                11   37                  246.288               29   \n",
       "666                26   30                  246.288               19   \n",
       "667                26   28                  246.288               24   \n",
       "668                16   32                  246.288               25   \n",
       "669                26   30                  246.288               19   \n",
       "670                12   34                  246.288               25   \n",
       "671                26   28                  246.288               24   \n",
       "672                13   50                  246.288               31   \n",
       "673                26   30                  246.288               19   \n",
       "674                11   37                  237.656               29   \n",
       "675                15   41                  237.656               28   \n",
       "676                16   32                  237.656               25   \n",
       "677                10   37                  237.656               28   \n",
       "678                20   43                  237.656               38   \n",
       "679                26   30                  237.656               19   \n",
       "680                31   40                  237.656               25   \n",
       "681                15   41                  237.656               28   \n",
       "682                26   43                  237.656               25   \n",
       "683                15   41                  237.656               28   \n",
       "684                26   30                  237.656               19   \n",
       "685                13   50                  237.656               31   \n",
       "686                13   50                  237.656               31   \n",
       "687                10   37                  237.656               28   \n",
       "688                13   50                  237.656               31   \n",
       "689                26   30                  237.656               19   \n",
       "690                49   36                  237.656               21   \n",
       "691                22   40                  237.656               22   \n",
       "692                12   34                  237.656               25   \n",
       "693                16   32                  237.656               25   \n",
       "694                31   40                  237.656               25   \n",
       "695                22   40                  237.656               22   \n",
       "696                26   28                  237.656               24   \n",
       "697                16   28                  237.656               25   \n",
       "698                16   32                  237.656               25   \n",
       "699                31   40                  237.656               25   \n",
       "\n",
       "     Education  Children  Pets  Absenteeism Time in Hours  \n",
       "0            1         2     1                          4  \n",
       "1            1         1     0                          0  \n",
       "2            1         0     0                          2  \n",
       "3            1         2     0                          4  \n",
       "4            1         2     1                          2  \n",
       "5            1         0     0                          2  \n",
       "6            1         1     4                          8  \n",
       "7            1         4     0                          4  \n",
       "8            1         2     0                         40  \n",
       "9            3         1     1                          8  \n",
       "10           1         4     0                          8  \n",
       "11           1         4     0                          8  \n",
       "12           1         4     0                          8  \n",
       "13           1         0     0                          1  \n",
       "14           1         0     0                          4  \n",
       "15           1         0     0                          8  \n",
       "16           1         0     0                          2  \n",
       "17           1         0     0                          8  \n",
       "18           1         2     2                          8  \n",
       "19           1         2     1                          2  \n",
       "20           2         0     0                          8  \n",
       "21           1         0     0                          1  \n",
       "22           1         1     4                         40  \n",
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      ]
     },
     "execution_count": 202,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "id": "18fb525d-4ed2-45b6-b5eb-a9efd10a21ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 700 entries, 0 to 699\n",
      "Data columns (total 12 columns):\n",
      " #   Column                     Non-Null Count  Dtype  \n",
      "---  ------                     --------------  -----  \n",
      " 0   ID                         700 non-null    int64  \n",
      " 1   Reason for Absence         700 non-null    int64  \n",
      " 2   Date                       700 non-null    object \n",
      " 3   Transportation Expense     700 non-null    int64  \n",
      " 4   Distance to Work           700 non-null    int64  \n",
      " 5   Age                        700 non-null    int64  \n",
      " 6   Daily Work Load Average    700 non-null    float64\n",
      " 7   Body Mass Index            700 non-null    int64  \n",
      " 8   Education                  700 non-null    int64  \n",
      " 9   Children                   700 non-null    int64  \n",
      " 10  Pets                       700 non-null    int64  \n",
      " 11  Absenteeism Time in Hours  700 non-null    int64  \n",
      "dtypes: float64(1), int64(10), object(1)\n",
      "memory usage: 65.8+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0338b39-931b-46eb-a48b-ab20979bd136",
   "metadata": {},
   "source": [
    "# Dropping some columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "id": "157eaa86-5606-43a3-bc08-b011b2e6bb33",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_no_age = df.drop(['Age'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "id": "1212472c-4145-491e-944f-a9808dbcb2c8",
   "metadata": {},
   "outputs": [
    {
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       "   ID  Reason for Absence        Date  Transportation Expense  \\\n",
       "0  11                  26  07/07/2015                     289   \n",
       "1  36                   0  14/07/2015                     118   \n",
       "2   3                  23  15/07/2015                     179   \n",
       "3   7                   7  16/07/2015                     279   \n",
       "4  11                  23  23/07/2015                     289   \n",
       "\n",
       "   Distance to Work  Daily Work Load Average  Body Mass Index  Education  \\\n",
       "0                36                  239.554               30          1   \n",
       "1                13                  239.554               31          1   \n",
       "2                51                  239.554               31          1   \n",
       "3                 5                  239.554               24          1   \n",
       "4                36                  239.554               30          1   \n",
       "\n",
       "   Children  Pets  Absenteeism Time in Hours  \n",
       "0         2     1                          4  \n",
       "1         1     0                          0  \n",
       "2         0     0                          2  \n",
       "3         2     0                          4  \n",
       "4         2     1                          2  "
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     },
     "execution_count": 205,
     "metadata": {},
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   ],
   "source": [
    "df_no_age.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "id": "bb0a143e-9407-4fac-83e4-b4e22ff9f704",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_no_id = df_no_age.drop(['ID'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "id": "79370fba-c765-4663-b5f2-ca6a7035f1f2",
   "metadata": {},
   "outputs": [
    {
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       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Reason for Absence        Date  Transportation Expense  Distance to Work  \\\n",
       "0                  26  07/07/2015                     289                36   \n",
       "1                   0  14/07/2015                     118                13   \n",
       "2                  23  15/07/2015                     179                51   \n",
       "3                   7  16/07/2015                     279                 5   \n",
       "4                  23  23/07/2015                     289                36   \n",
       "\n",
       "   Daily Work Load Average  Body Mass Index  Education  Children  Pets  \\\n",
       "0                  239.554               30          1         2     1   \n",
       "1                  239.554               31          1         1     0   \n",
       "2                  239.554               31          1         0     0   \n",
       "3                  239.554               24          1         2     0   \n",
       "4                  239.554               30          1         2     1   \n",
       "\n",
       "   Absenteeism Time in Hours  \n",
       "0                          4  \n",
       "1                          0  \n",
       "2                          2  \n",
       "3                          4  \n",
       "4                          2  "
      ]
     },
     "execution_count": 207,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_no_id.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "505c5667-96f0-4dce-8469-c427d39425e9",
   "metadata": {},
   "source": [
    "# Getting Dummies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "id": "12d5ed43-5d36-4f83-be21-15ab09902fb2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    26\n",
       "1     0\n",
       "2    23\n",
       "3     7\n",
       "4    23\n",
       "Name: Reason for Absence, dtype: int64"
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Reason for Absence'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "id": "6d6192f7-9a50-4c94-bd43-f08935e06c97",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 209,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Reason for Absence'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "id": "898a8b17-bbaf-4a23-bda7-b1a4e5543499",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "28"
      ]
     },
     "execution_count": 210,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Reason for Absence'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "id": "ee71f0ba-21ed-46ad-a18c-1bb74b91cfed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([26,  0, 23,  7, 22, 19,  1, 11, 14, 21, 10, 13, 28, 18, 25, 24,  6,\n",
       "       27, 17,  8, 12,  5,  9, 15,  4,  3,  2, 16], dtype=int64)"
      ]
     },
     "execution_count": 211,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Reason for Absence'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "id": "d46556bd-c6a1-40a2-98f7-098f04eb0ff3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0,\n",
       " 1,\n",
       " 2,\n",
       " 3,\n",
       " 4,\n",
       " 5,\n",
       " 6,\n",
       " 7,\n",
       " 8,\n",
       " 9,\n",
       " 10,\n",
       " 11,\n",
       " 12,\n",
       " 13,\n",
       " 14,\n",
       " 15,\n",
       " 16,\n",
       " 17,\n",
       " 18,\n",
       " 19,\n",
       " 21,\n",
       " 22,\n",
       " 23,\n",
       " 24,\n",
       " 25,\n",
       " 26,\n",
       " 27,\n",
       " 28]"
      ]
     },
     "execution_count": 212,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(df['Reason for Absence'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "27c6ffcf-caf3-438e-a5bd-be112f65aaa5",
   "metadata": {},
   "outputs": [],
   "source": [
    "reason_columns = pd.get_dummies(df['Reason for Absence'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "id": "af6dca2f-1173-40bf-810f-78a377718851",
   "metadata": {},
   "outputs": [
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     "execution_count": 214,
     "metadata": {},
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   "execution_count": 215,
   "id": "41d12d65-a72e-47a8-a259-18748da7fd26",
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   "id": "aaa8cfe1-0266-48fb-8ab6-807ac7d72aed",
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       "   ID  Reason for Absence        Date  Transportation Expense  \\\n",
       "0  11                  26  07/07/2015                     289   \n",
       "1  36                   0  14/07/2015                     118   \n",
       "2   3                  23  15/07/2015                     179   \n",
       "3   7                   7  16/07/2015                     279   \n",
       "4  11                  23  23/07/2015                     289   \n",
       "\n",
       "   Distance to Work  Age  Daily Work Load Average  Body Mass Index  Education  \\\n",
       "0                36   33                  239.554               30          1   \n",
       "1                13   50                  239.554               31          1   \n",
       "2                51   38                  239.554               31          1   \n",
       "3                 5   39                  239.554               24          1   \n",
       "4                36   33                  239.554               30          1   \n",
       "\n",
       "   Children  Pets  Absenteeism Time in Hours  \n",
       "0         2     1                          4  \n",
       "1         1     0                          0  \n",
       "2         0     0                          2  \n",
       "3         2     0                          4  \n",
       "4         2     1                          2  "
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     },
     "execution_count": 220,
     "metadata": {},
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   "execution_count": 221,
   "id": "d959f4bf-223e-40b2-b900-7ab4efbf6762",
   "metadata": {},
   "outputs": [
    {
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       "2    38\n",
       "3    39\n",
       "4    33\n",
       "Name: Age, dtype: int64"
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     "execution_count": 221,
     "metadata": {},
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   "execution_count": 224,
   "id": "5a9998cd-72f5-4252-8cc3-10cf3ec532c9",
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   "id": "6e9a1493-76fc-4214-a4d5-e9234b372d63",
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   "id": "ecaec437-2b69-414c-ba39-52053f76ec75",
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    "age_columns = pd.get_dummies(df['Age'])"
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   "execution_count": 227,
   "id": "6e854364-7347-4629-a8ca-5df228f6a6c6",
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      ]
     },
     "execution_count": 231,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "age_columns = age_columns.drop(['check'], axis=1)\n",
    "age_columns.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "id": "c0e24652-dc28-4dfd-859d-428ce365b1f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['ID', 'Reason for Absence', 'Date', 'Transportation Expense',\n",
       "       'Distance to Work', 'Age', 'Daily Work Load Average',\n",
       "       'Body Mass Index', 'Education', 'Children', 'Pets',\n",
       "       'Absenteeism Time in Hours'], dtype=object)"
      ]
     },
     "execution_count": 232,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns.values"
   ]
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   "cell_type": "code",
   "execution_count": 233,
   "id": "97eab9b1-6c28-447f-b880-194708146414",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "         Date  Transportation Expense  Distance to Work  Age  \\\n",
       "0  07/07/2015                     289                36   33   \n",
       "1  14/07/2015                     118                13   50   \n",
       "2  15/07/2015                     179                51   38   \n",
       "3  16/07/2015                     279                 5   39   \n",
       "4  23/07/2015                     289                36   33   \n",
       "\n",
       "   Daily Work Load Average  Body Mass Index  Education  Children  Pets  \\\n",
       "0                  239.554               30          1         2     1   \n",
       "1                  239.554               31          1         1     0   \n",
       "2                  239.554               31          1         0     0   \n",
       "3                  239.554               24          1         2     0   \n",
       "4                  239.554               30          1         2     1   \n",
       "\n",
       "   Absenteeism Time in Hours  \n",
       "0                          4  \n",
       "1                          0  \n",
       "2                          2  \n",
       "3                          4  \n",
       "4                          2  "
      ]
     },
     "execution_count": 233,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.drop(['ID', 'Reason for Absence'], axis=1)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "id": "2093dd68-2c68-4fe5-8b60-e7eecd570be7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n",
       "       19, 21, 22, 23, 24, 25, 26, 27, 28], dtype=object)"
      ]
     },
     "execution_count": 234,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "reason_columns.columns.values"
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  {
   "cell_type": "code",
   "execution_count": 235,
   "id": "b9819b8d-8ce0-4ded-8877-0bf3a9052e2f",
   "metadata": {},
   "outputs": [
    {
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       "4  False  False  False  False  False  False  False  False  False  False   \n",
       "\n",
       "      11     12     13     14     15     16     17     18     19     21  \\\n",
       "0  False  False  False  False  False  False  False  False  False  False   \n",
       "1  False  False  False  False  False  False  False  False  False  False   \n",
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       "\n",
       "      22     23     24     25     26     27     28  \n",
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       "4  False   True  False  False  False  False  False  "
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     },
     "execution_count": 235,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reason_columns = reason_columns.drop([0], axis=1)\n",
    "reason_columns.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f65db17-9197-45ab-9319-0952c60a26e7",
   "metadata": {},
   "source": [
    "# Concatenation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "id": "f3654f72-1ccb-48c2-8d77-5fe091f5adf8",
   "metadata": {},
   "outputs": [],
   "source": [
    "reason_type_1 = reason_columns.loc[:, 1:14].max(axis=1)\n",
    "reason_type_2 = reason_columns.loc[:, 15:17].max(axis=1)\n",
    "reason_type_3 = reason_columns.loc[:, 18:21].max(axis=1)\n",
    "reason_type_4 = reason_columns.loc[:, 22:].max(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "id": "1e5497e4-7776-4870-a395-3f148125f002",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.concat([df, reason_type_1, reason_type_2, reason_type_3, reason_type_4], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "id": "0d8adcaf-286e-46b6-9741-c3859f5317f3",
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "         Date  Transportation Expense  Distance to Work  Age  \\\n",
       "0  07/07/2015                     289                36   33   \n",
       "1  14/07/2015                     118                13   50   \n",
       "2  15/07/2015                     179                51   38   \n",
       "3  16/07/2015                     279                 5   39   \n",
       "4  23/07/2015                     289                36   33   \n",
       "\n",
       "   Daily Work Load Average  Body Mass Index  Education  Children  Pets  \\\n",
       "0                  239.554               30          1         2     1   \n",
       "1                  239.554               31          1         1     0   \n",
       "2                  239.554               31          1         0     0   \n",
       "3                  239.554               24          1         2     0   \n",
       "4                  239.554               30          1         2     1   \n",
       "\n",
       "   Absenteeism Time in Hours      0      1      2      3  \n",
       "0                          4  False  False  False   True  \n",
       "1                          0  False  False  False  False  \n",
       "2                          2  False  False  False   True  \n",
       "3                          4   True  False  False  False  \n",
       "4                          2  False  False  False   True  "
      ]
     },
     "execution_count": 238,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 239,
   "id": "57f96b52-8a87-4848-ba21-4906620d77e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Date', 'Transportation Expense', 'Distance to Work', 'Age',\n",
       "       'Daily Work Load Average', 'Body Mass Index', 'Education',\n",
       "       'Children', 'Pets', 'Absenteeism Time in Hours', 0, 1, 2, 3],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 239,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns.values"
   ]
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  {
   "cell_type": "code",
   "execution_count": 240,
   "id": "7a5cd69b-ed0b-4b80-9bcd-3295f74ff461",
   "metadata": {},
   "outputs": [],
   "source": [
    "column_names = ['Date', 'Transportation Expense', 'Distance to Work', 'Age',\n",
    "       'Daily Work Load Average', 'Body Mass Index', 'Education',\n",
    "       'Children', 'Pets', 'Absenteeism Time in Hours', 'Reason 1', 'Reason 2', 'Reason 3', 'Reason 4']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "id": "733362c6-df51-4fcd-bf76-77cc28f61fa8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.columns = column_names"
   ]
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   "execution_count": 242,
   "id": "61ff5e23-6d39-49d0-8ba9-c3c8b50cd526",
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       "         Date  Transportation Expense  Distance to Work  Age  \\\n",
       "0  07/07/2015                     289                36   33   \n",
       "1  14/07/2015                     118                13   50   \n",
       "2  15/07/2015                     179                51   38   \n",
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       "4  23/07/2015                     289                36   33   \n",
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   "execution_count": 243,
   "id": "4ae72fbb-c3a0-4dd9-b363-e423c8b3ed95",
   "metadata": {},
   "outputs": [
    {
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       "      27     28     29     30     31     32     33     34     36     37  \\\n",
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       "1  False  False  False  False  False  False  False  False  False  False   \n",
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     "execution_count": 243,
     "metadata": {},
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   ],
   "source": [
    "age_columns.head()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 244,
   "id": "8cfa67a5-82f0-45c8-a57c-aba468093de5",
   "metadata": {},
   "outputs": [],
   "source": [
    "age_group_20s = age_columns.loc[:, 27:29].max(axis=1)\n",
    "age_group_30s = age_columns.loc[:, 30:39].max(axis=1)\n",
    "age_group_40s = age_columns.loc[:, 40:49].max(axis=1)\n",
    "age_group_50s = age_columns.loc[:, 50:].max(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "id": "b96a7154-c64d-443a-b43f-7be98f6f9f6f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_concatenated = pd.concat([df, age_group_20s, age_group_30s, age_group_40s, age_group_50s], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "id": "c57fb531-f680-4774-82bd-c5c4e4a8f254",
   "metadata": {},
   "outputs": [
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>23/07/2015</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>33</td>\n",
       "      <td>239.554</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date  Transportation Expense  Distance to Work  Age  \\\n",
       "0  07/07/2015                     289                36   33   \n",
       "1  14/07/2015                     118                13   50   \n",
       "2  15/07/2015                     179                51   38   \n",
       "3  16/07/2015                     279                 5   39   \n",
       "4  23/07/2015                     289                36   33   \n",
       "\n",
       "   Daily Work Load Average  Body Mass Index  Education  Children  Pets  \\\n",
       "0                  239.554               30          1         2     1   \n",
       "1                  239.554               31          1         1     0   \n",
       "2                  239.554               31          1         0     0   \n",
       "3                  239.554               24          1         2     0   \n",
       "4                  239.554               30          1         2     1   \n",
       "\n",
       "   Absenteeism Time in Hours  Reason 1  Reason 2  Reason 3  Reason 4      0  \\\n",
       "0                          4     False     False     False      True  False   \n",
       "1                          0     False     False     False     False  False   \n",
       "2                          2     False     False     False      True  False   \n",
       "3                          4      True     False     False     False  False   \n",
       "4                          2     False     False     False      True  False   \n",
       "\n",
       "       1      2      3  \n",
       "0   True  False  False  \n",
       "1  False  False   True  \n",
       "2   True  False  False  \n",
       "3   True  False  False  \n",
       "4   True  False  False  "
      ]
     },
     "execution_count": 246,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_concatenated.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "id": "7d01f926-0bc1-4c54-8a30-26ef456469a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Date', 'Transportation Expense', 'Distance to Work', 'Age',\n",
       "       'Daily Work Load Average', 'Body Mass Index', 'Education',\n",
       "       'Children', 'Pets', 'Absenteeism Time in Hours', 'Reason 1',\n",
       "       'Reason 2', 'Reason 3', 'Reason 4', 0, 1, 2, 3], dtype=object)"
      ]
     },
     "execution_count": 247,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_concatenated.columns.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "id": "8efc726e-6098-4c23-9e58-859e9f1b3ece",
   "metadata": {},
   "outputs": [],
   "source": [
    "column_names = ['Date', 'Transportation Expense', 'Distance to Work', 'Age',\n",
    "       'Daily Work Load Average', 'Body Mass Index', 'Education',\n",
    "       'Children', 'Pets', 'Absenteeism Time in Hours', 'Reason 1',\n",
    "       'Reason 2', 'Reason 3', 'Reason 4', 'Age Group 20s', 'Age Group 30s', 'Age Group 40s', 'Age Group 50s']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "id": "e8d3c047-d61e-4f4c-b45e-002461338606",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_concatenated.columns = column_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "id": "d1ac423d-e2c9-459d-8767-736ec3898a5e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_concatenated = df_concatenated.drop(['Age'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "id": "934ea8fc-0ab0-42d0-b176-2bb0b7248fcd",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Date</th>\n",
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       "      <th>2</th>\n",
       "      <td>15/07/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
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       "      <td>31</td>\n",
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       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16/07/2015</td>\n",
       "      <td>279</td>\n",
       "      <td>5</td>\n",
       "      <td>239.554</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>23/07/2015</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>239.554</td>\n",
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       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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      "text/plain": [
       "         Date  Transportation Expense  Distance to Work  \\\n",
       "0  07/07/2015                     289                36   \n",
       "1  14/07/2015                     118                13   \n",
       "2  15/07/2015                     179                51   \n",
       "3  16/07/2015                     279                 5   \n",
       "4  23/07/2015                     289                36   \n",
       "\n",
       "   Daily Work Load Average  Body Mass Index  Education  Children  Pets  \\\n",
       "0                  239.554               30          1         2     1   \n",
       "1                  239.554               31          1         1     0   \n",
       "2                  239.554               31          1         0     0   \n",
       "3                  239.554               24          1         2     0   \n",
       "4                  239.554               30          1         2     1   \n",
       "\n",
       "   Absenteeism Time in Hours  Reason 1  Reason 2  Reason 3  Reason 4  \\\n",
       "0                          4     False     False     False      True   \n",
       "1                          0     False     False     False     False   \n",
       "2                          2     False     False     False      True   \n",
       "3                          4      True     False     False     False   \n",
       "4                          2     False     False     False      True   \n",
       "\n",
       "   Age Group 20s  Age Group 30s  Age Group 40s  Age Group 50s  \n",
       "0          False           True          False          False  \n",
       "1          False          False          False           True  \n",
       "2          False           True          False          False  \n",
       "3          False           True          False          False  \n",
       "4          False           True          False          False  "
      ]
     },
     "execution_count": 251,
     "metadata": {},
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   ],
   "source": [
    "df_concatenated.head()"
   ]
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  {
   "cell_type": "markdown",
   "id": "7811bc6a-88fe-48c2-bfa2-c35b19c3914a",
   "metadata": {},
   "source": [
    "# Reorder Columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "id": "b7be9ffa-68cc-4c7a-ba06-c61051689c91",
   "metadata": {},
   "outputs": [],
   "source": [
    "column_names_reordered = ['Reason 1', 'Reason 2', 'Reason 3', 'Reason 4', 'Date', 'Transportation Expense', \n",
    "                          'Distance to Work', 'Daily Work Load Average', 'Body Mass Index', 'Education',\n",
    "                          'Children', 'Pets', 'Age Group 20s', 'Age Group 30s', \n",
    "                          'Age Group 40s', 'Age Group 50s', 'Absenteeism Time in Hours']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "id": "69a788c2-a0d9-4a2c-8028-3d15afed6311",
   "metadata": {},
   "outputs": [
    {
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       "      <th>2</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>15/07/2015</td>\n",
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       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2</td>\n",
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       "      <th>3</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>16/07/2015</td>\n",
       "      <td>279</td>\n",
       "      <td>5</td>\n",
       "      <td>239.554</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>23/07/2015</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>239.554</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2</td>\n",
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      "text/plain": [
       "   Reason 1  Reason 2  Reason 3  Reason 4        Date  Transportation Expense  \\\n",
       "0     False     False     False      True  07/07/2015                     289   \n",
       "1     False     False     False     False  14/07/2015                     118   \n",
       "2     False     False     False      True  15/07/2015                     179   \n",
       "3      True     False     False     False  16/07/2015                     279   \n",
       "4     False     False     False      True  23/07/2015                     289   \n",
       "\n",
       "   Distance to Work  Daily Work Load Average  Body Mass Index  Education  \\\n",
       "0                36                  239.554               30          1   \n",
       "1                13                  239.554               31          1   \n",
       "2                51                  239.554               31          1   \n",
       "3                 5                  239.554               24          1   \n",
       "4                36                  239.554               30          1   \n",
       "\n",
       "   Children  Pets  Age Group 20s  Age Group 30s  Age Group 40s  Age Group 50s  \\\n",
       "0         2     1          False           True          False          False   \n",
       "1         1     0          False          False          False           True   \n",
       "2         0     0          False           True          False          False   \n",
       "3         2     0          False           True          False          False   \n",
       "4         2     1          False           True          False          False   \n",
       "\n",
       "   Absenteeism Time in Hours  \n",
       "0                          4  \n",
       "1                          0  \n",
       "2                          2  \n",
       "3                          4  \n",
       "4                          2  "
      ]
     },
     "execution_count": 253,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_concatenated = df_concatenated[column_names_reordered] \n",
    "df_concatenated.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60292a40-f132-47c8-9b2f-bf2077b01b82",
   "metadata": {},
   "source": [
    "# Creating a Checkpoint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "id": "a1c35a96-969a-44f2-aa19-31224ba9e9b1",
   "metadata": {},
   "outputs": [
    {
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>14/07/2015</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>239.554</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>15/07/2015</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>239.554</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>16/07/2015</td>\n",
       "      <td>279</td>\n",
       "      <td>5</td>\n",
       "      <td>239.554</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>23/07/2015</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>239.554</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Reason 1  Reason 2  Reason 3  Reason 4        Date  Transportation Expense  \\\n",
       "0     False     False     False      True  07/07/2015                     289   \n",
       "1     False     False     False     False  14/07/2015                     118   \n",
       "2     False     False     False      True  15/07/2015                     179   \n",
       "3      True     False     False     False  16/07/2015                     279   \n",
       "4     False     False     False      True  23/07/2015                     289   \n",
       "\n",
       "   Distance to Work  Daily Work Load Average  Body Mass Index  Education  \\\n",
       "0                36                  239.554               30          1   \n",
       "1                13                  239.554               31          1   \n",
       "2                51                  239.554               31          1   \n",
       "3                 5                  239.554               24          1   \n",
       "4                36                  239.554               30          1   \n",
       "\n",
       "   Children  Pets  Age Group 20s  Age Group 30s  Age Group 40s  Age Group 50s  \\\n",
       "0         2     1          False           True          False          False   \n",
       "1         1     0          False          False          False           True   \n",
       "2         0     0          False           True          False          False   \n",
       "3         2     0          False           True          False          False   \n",
       "4         2     1          False           True          False          False   \n",
       "\n",
       "   Absenteeism Time in Hours  \n",
       "0                          4  \n",
       "1                          0  \n",
       "2                          2  \n",
       "3                          4  \n",
       "4                          2  "
      ]
     },
     "execution_count": 254,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_checkpoint = df_concatenated.copy()\n",
    "df_checkpoint.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee944956-6e87-4096-9618-4a614c96a37e",
   "metadata": {},
   "source": [
    "# Reformatting Date Column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "id": "d1f1b288-a7f3-4487-ba98-b8c19d017b65",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "str"
      ]
     },
     "execution_count": 255,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(df_concatenated['Date'][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "id": "73be589a-8722-46ab-ac1f-fd6c777d4715",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_concatenated['Date'] = pd.to_datetime(df_concatenated['Date'], format='%d/%m/%Y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "id": "7aac87a8-87de-4555-b096-594da2343ff6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 257,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(df_concatenated['Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "id": "a3c12fd3-48ca-484d-98a7-40045f8dd7c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0   2015-07-07\n",
       "1   2015-07-14\n",
       "2   2015-07-15\n",
       "3   2015-07-16\n",
       "4   2015-07-23\n",
       "Name: Date, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 258,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_concatenated['Date'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "id": "101aa783-c417-43cc-bd5e-d1ece88a3128",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_date = df_concatenated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "id": "14cba375-5c08-4ce4-8f6e-abc4758c98df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Reason 1</th>\n",
       "      <th>Reason 2</th>\n",
       "      <th>Reason 3</th>\n",
       "      <th>Reason 4</th>\n",
       "      <th>Date</th>\n",
       "      <th>Transportation Expense</th>\n",
       "      <th>Distance to Work</th>\n",
       "      <th>Daily Work Load Average</th>\n",
       "      <th>Body Mass Index</th>\n",
       "      <th>Education</th>\n",
       "      <th>Children</th>\n",
       "      <th>Pets</th>\n",
       "      <th>Age Group 20s</th>\n",
       "      <th>Age Group 30s</th>\n",
       "      <th>Age Group 40s</th>\n",
       "      <th>Age Group 50s</th>\n",
       "      <th>Absenteeism Time in Hours</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
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       "      <th>1</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2015-07-14</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
       "      <td>239.554</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
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       "      <td>False</td>\n",
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       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2015-07-15</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>239.554</td>\n",
       "      <td>31</td>\n",
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       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2015-07-16</td>\n",
       "      <td>279</td>\n",
       "      <td>5</td>\n",
       "      <td>239.554</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2015-07-23</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>239.554</td>\n",
       "      <td>30</td>\n",
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       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Reason 1  Reason 2  Reason 3  Reason 4       Date  Transportation Expense  \\\n",
       "0     False     False     False      True 2015-07-07                     289   \n",
       "1     False     False     False     False 2015-07-14                     118   \n",
       "2     False     False     False      True 2015-07-15                     179   \n",
       "3      True     False     False     False 2015-07-16                     279   \n",
       "4     False     False     False      True 2015-07-23                     289   \n",
       "\n",
       "   Distance to Work  Daily Work Load Average  Body Mass Index  Education  \\\n",
       "0                36                  239.554               30          1   \n",
       "1                13                  239.554               31          1   \n",
       "2                51                  239.554               31          1   \n",
       "3                 5                  239.554               24          1   \n",
       "4                36                  239.554               30          1   \n",
       "\n",
       "   Children  Pets  Age Group 20s  Age Group 30s  Age Group 40s  Age Group 50s  \\\n",
       "0         2     1          False           True          False          False   \n",
       "1         1     0          False          False          False           True   \n",
       "2         0     0          False           True          False          False   \n",
       "3         2     0          False           True          False          False   \n",
       "4         2     1          False           True          False          False   \n",
       "\n",
       "   Absenteeism Time in Hours  \n",
       "0                          4  \n",
       "1                          0  \n",
       "2                          2  \n",
       "3                          4  \n",
       "4                          2  "
      ]
     },
     "execution_count": 260,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_date.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e40910fa-115f-4496-a141-ec35a681ad5f",
   "metadata": {},
   "source": [
    "# Extracting the Month Value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "id": "9531ba7e-ef35-43a1-bbc2-49f1b4dda0ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2015-07-07 00:00:00')"
      ]
     },
     "execution_count": 261,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_date['Date'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 262,
   "id": "2df1da0d-a254-438b-8c58-7944dc393cfe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7"
      ]
     },
     "execution_count": 262,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_date['Date'][0].month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "id": "96fd1e0b-c42f-4aa1-93b2-99c993ea1fe7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 263,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list_months = []\n",
    "list_months"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "id": "7798c915-1aae-4db7-8f40-8e0078697c44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(700, 17)"
      ]
     },
     "execution_count": 264,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_date.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "id": "74cecad3-8671-4a7a-b132-aa8f0d819e28",
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(df_date.shape[0]):\n",
    "    list_months.append(df_date['Date'][i].month)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "id": "a6e6044d-5d73-4b96-ab16-9da4d6510668",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 12, 12]\n"
     ]
    }
   ],
   "source": [
    "print(list_months[:100])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 267,
   "id": "b5a05773-7283-4d5b-9f3d-2f356f8dc8c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "700"
      ]
     },
     "execution_count": 267,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(list_months)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 268,
   "id": "ae65bcb6-3bda-4240-9417-ff8ff6c4d4c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_date['Month Value'] = list_months"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "id": "16c3dd11-7c9a-439e-b799-a3325d2f1dbf",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>7</td>\n",
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       "      <td>False</td>\n",
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       "      <td>51</td>\n",
       "      <td>239.554</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2015-07-16</td>\n",
       "      <td>279</td>\n",
       "      <td>5</td>\n",
       "      <td>239.554</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2015-07-23</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>239.554</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Reason 1  Reason 2  Reason 3  Reason 4       Date  Transportation Expense  \\\n",
       "0     False     False     False      True 2015-07-07                     289   \n",
       "1     False     False     False     False 2015-07-14                     118   \n",
       "2     False     False     False      True 2015-07-15                     179   \n",
       "3      True     False     False     False 2015-07-16                     279   \n",
       "4     False     False     False      True 2015-07-23                     289   \n",
       "\n",
       "   Distance to Work  Daily Work Load Average  Body Mass Index  Education  \\\n",
       "0                36                  239.554               30          1   \n",
       "1                13                  239.554               31          1   \n",
       "2                51                  239.554               31          1   \n",
       "3                 5                  239.554               24          1   \n",
       "4                36                  239.554               30          1   \n",
       "\n",
       "   Children  Pets  Age Group 20s  Age Group 30s  Age Group 40s  Age Group 50s  \\\n",
       "0         2     1          False           True          False          False   \n",
       "1         1     0          False          False          False           True   \n",
       "2         0     0          False           True          False          False   \n",
       "3         2     0          False           True          False          False   \n",
       "4         2     1          False           True          False          False   \n",
       "\n",
       "   Absenteeism Time in Hours  Month Value  \n",
       "0                          4            7  \n",
       "1                          0            7  \n",
       "2                          2            7  \n",
       "3                          4            7  \n",
       "4                          2            7  "
      ]
     },
     "execution_count": 269,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_date.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f531d37e-68c4-46c6-8dbc-8e9c51b37d11",
   "metadata": {},
   "source": [
    "# Extract Day of the Week"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 270,
   "id": "970203e9-847d-4b13-b1cb-5897c7602851",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 270,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_date['Date'][699].weekday()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 271,
   "id": "94e31901-c742-4631-a903-a05f46e68ec9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2018-05-31 00:00:00')"
      ]
     },
     "execution_count": 271,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_date['Date'][699]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "id": "b0c6b351-c3d2-41f3-826d-766526f87d1d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def date_to_weekday(date_value):\n",
    "    return date_value.weekday()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "id": "f8fe1467-2404-442f-8dd5-fb26155c4065",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_date['Day of the Week'] = df_date['Date'].apply(date_to_weekday)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "id": "f261a51f-b0b3-46cf-9ada-c63b6cf59ebd",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Reason 1</th>\n",
       "      <th>Reason 2</th>\n",
       "      <th>Reason 3</th>\n",
       "      <th>Reason 4</th>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2015-07-14</td>\n",
       "      <td>118</td>\n",
       "      <td>13</td>\n",
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       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2015-07-15</td>\n",
       "      <td>179</td>\n",
       "      <td>51</td>\n",
       "      <td>239.554</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2015-07-16</td>\n",
       "      <td>279</td>\n",
       "      <td>5</td>\n",
       "      <td>239.554</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2015-07-23</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>239.554</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Reason 1  Reason 2  Reason 3  Reason 4       Date  Transportation Expense  \\\n",
       "0     False     False     False      True 2015-07-07                     289   \n",
       "1     False     False     False     False 2015-07-14                     118   \n",
       "2     False     False     False      True 2015-07-15                     179   \n",
       "3      True     False     False     False 2015-07-16                     279   \n",
       "4     False     False     False      True 2015-07-23                     289   \n",
       "\n",
       "   Distance to Work  Daily Work Load Average  Body Mass Index  Education  \\\n",
       "0                36                  239.554               30          1   \n",
       "1                13                  239.554               31          1   \n",
       "2                51                  239.554               31          1   \n",
       "3                 5                  239.554               24          1   \n",
       "4                36                  239.554               30          1   \n",
       "\n",
       "   Children  Pets  Age Group 20s  Age Group 30s  Age Group 40s  Age Group 50s  \\\n",
       "0         2     1          False           True          False          False   \n",
       "1         1     0          False          False          False           True   \n",
       "2         0     0          False           True          False          False   \n",
       "3         2     0          False           True          False          False   \n",
       "4         2     1          False           True          False          False   \n",
       "\n",
       "   Absenteeism Time in Hours  Month Value  Day of the Week  \n",
       "0                          4            7                1  \n",
       "1                          0            7                1  \n",
       "2                          2            7                2  \n",
       "3                          4            7                3  \n",
       "4                          2            7                3  "
      ]
     },
     "execution_count": 274,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_date.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "637e6b7f-b6ad-47bf-bef1-05b5f7f85e10",
   "metadata": {},
   "source": [
    "# Dropping Date Column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "id": "e1cc5b3d-b4ee-4a7d-88c6-1347f9312caf",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_date = df_date.drop(['Date'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "id": "d51ee605-387b-4563-b16f-6ba1a6249a3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Reason 1</th>\n",
       "      <th>Reason 2</th>\n",
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       "      <th>Reason 4</th>\n",
       "      <th>Transportation Expense</th>\n",
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       "      <th>Age Group 30s</th>\n",
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       "      <th>Absenteeism Time in Hours</th>\n",
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       "      <td>True</td>\n",
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       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>False</td>\n",
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       "      <td>239.554</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
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       "      <th>3</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>279</td>\n",
       "      <td>5</td>\n",
       "      <td>239.554</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>239.554</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Reason 1  Reason 2  Reason 3  Reason 4  Transportation Expense  \\\n",
       "0     False     False     False      True                     289   \n",
       "1     False     False     False     False                     118   \n",
       "2     False     False     False      True                     179   \n",
       "3      True     False     False     False                     279   \n",
       "4     False     False     False      True                     289   \n",
       "\n",
       "   Distance to Work  Daily Work Load Average  Body Mass Index  Education  \\\n",
       "0                36                  239.554               30          1   \n",
       "1                13                  239.554               31          1   \n",
       "2                51                  239.554               31          1   \n",
       "3                 5                  239.554               24          1   \n",
       "4                36                  239.554               30          1   \n",
       "\n",
       "   Children  Pets  Age Group 20s  Age Group 30s  Age Group 40s  Age Group 50s  \\\n",
       "0         2     1          False           True          False          False   \n",
       "1         1     0          False          False          False           True   \n",
       "2         0     0          False           True          False          False   \n",
       "3         2     0          False           True          False          False   \n",
       "4         2     1          False           True          False          False   \n",
       "\n",
       "   Absenteeism Time in Hours  Month Value  Day of the Week  \n",
       "0                          4            7                1  \n",
       "1                          0            7                1  \n",
       "2                          2            7                2  \n",
       "3                          4            7                3  \n",
       "4                          2            7                3  "
      ]
     },
     "execution_count": 276,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_date.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e638c476-aff7-422c-93f3-868014e329d5",
   "metadata": {},
   "source": [
    "# Reordering Date Columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "id": "56b84b6e-fd8e-45cc-957b-1c2404f15617",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Reason 1', 'Reason 2', 'Reason 3', 'Reason 4',\n",
       "       'Transportation Expense', 'Distance to Work',\n",
       "       'Daily Work Load Average', 'Body Mass Index', 'Education',\n",
       "       'Children', 'Pets', 'Age Group 20s', 'Age Group 30s',\n",
       "       'Age Group 40s', 'Age Group 50s', 'Absenteeism Time in Hours',\n",
       "       'Month Value', 'Day of the Week'], dtype=object)"
      ]
     },
     "execution_count": 277,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_date.columns.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 278,
   "id": "94d79cef-bcfc-43ba-9694-141642fe68cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "reordered_date = ['Reason 1', 'Reason 2', 'Reason 3', 'Reason 4', 'Month Value', \n",
    "                  'Day of the Week', 'Transportation Expense', 'Distance to Work', \n",
    "                  'Daily Work Load Average', 'Body Mass Index', 'Education', 'Children', \n",
    "                  'Pets', 'Age Group 20s', 'Age Group 30s', 'Age Group 40s', 'Age Group 50s', \n",
    "                  'Absenteeism Time in Hours',\n",
    "       ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "id": "f80dfd28-a22d-41c0-a2bf-b90dbd5f4bc0",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_date = df_date[reordered_date]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "id": "40b036cf-6aa9-4e24-bd27-3f5ab8c8a049",
   "metadata": {},
   "outputs": [
    {
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       "      <td>7</td>\n",
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       "      <td>True</td>\n",
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       "      <td>False</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>279</td>\n",
       "      <td>5</td>\n",
       "      <td>239.554</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>289</td>\n",
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       "      <td>239.554</td>\n",
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       "      <td>2</td>\n",
       "      <td>1</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "</div>"
      ],
      "text/plain": [
       "   Reason 1  Reason 2  Reason 3  Reason 4  Month Value  Day of the Week  \\\n",
       "0     False     False     False      True            7                1   \n",
       "1     False     False     False     False            7                1   \n",
       "2     False     False     False      True            7                2   \n",
       "3      True     False     False     False            7                3   \n",
       "4     False     False     False      True            7                3   \n",
       "\n",
       "   Transportation Expense  Distance to Work  Daily Work Load Average  \\\n",
       "0                     289                36                  239.554   \n",
       "1                     118                13                  239.554   \n",
       "2                     179                51                  239.554   \n",
       "3                     279                 5                  239.554   \n",
       "4                     289                36                  239.554   \n",
       "\n",
       "   Body Mass Index  Education  Children  Pets  Age Group 20s  Age Group 30s  \\\n",
       "0               30          1         2     1          False           True   \n",
       "1               31          1         1     0          False          False   \n",
       "2               31          1         0     0          False           True   \n",
       "3               24          1         2     0          False           True   \n",
       "4               30          1         2     1          False           True   \n",
       "\n",
       "   Age Group 40s  Age Group 50s  Absenteeism Time in Hours  \n",
       "0          False          False                          4  \n",
       "1          False           True                          0  \n",
       "2          False          False                          2  \n",
       "3          False          False                          4  \n",
       "4          False          False                          2  "
      ]
     },
     "execution_count": 280,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_date.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "decacf3f-7a34-49af-9f0d-9e793336d296",
   "metadata": {},
   "source": [
    "# Date Checkpoint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "id": "daad0a1e-d199-49a4-9de9-4bf791a22de5",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_reason_date_mod = df_date.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 282,
   "id": "c064e524-4204-4226-950d-b5f5fb84b572",
   "metadata": {},
   "outputs": [
    {
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>279</td>\n",
       "      <td>5</td>\n",
       "      <td>239.554</td>\n",
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       "      <td>2</td>\n",
       "      <td>0</td>\n",
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       "      <td>False</td>\n",
       "      <td>4</td>\n",
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       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>239.554</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
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       "</table>\n",
       "</div>"
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      "text/plain": [
       "   Reason 1  Reason 2  Reason 3  Reason 4  Month Value  Day of the Week  \\\n",
       "0     False     False     False      True            7                1   \n",
       "1     False     False     False     False            7                1   \n",
       "2     False     False     False      True            7                2   \n",
       "3      True     False     False     False            7                3   \n",
       "4     False     False     False      True            7                3   \n",
       "\n",
       "   Transportation Expense  Distance to Work  Daily Work Load Average  \\\n",
       "0                     289                36                  239.554   \n",
       "1                     118                13                  239.554   \n",
       "2                     179                51                  239.554   \n",
       "3                     279                 5                  239.554   \n",
       "4                     289                36                  239.554   \n",
       "\n",
       "   Body Mass Index  Education  Children  Pets  Age Group 20s  Age Group 30s  \\\n",
       "0               30          1         2     1          False           True   \n",
       "1               31          1         1     0          False          False   \n",
       "2               31          1         0     0          False           True   \n",
       "3               24          1         2     0          False           True   \n",
       "4               30          1         2     1          False           True   \n",
       "\n",
       "   Age Group 40s  Age Group 50s  Absenteeism Time in Hours  \n",
       "0          False          False                          4  \n",
       "1          False           True                          0  \n",
       "2          False          False                          2  \n",
       "3          False          False                          4  \n",
       "4          False          False                          2  "
      ]
     },
     "execution_count": 282,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_reason_date_mod.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "322d1b99-a741-4534-ad35-4e0ce39d1f86",
   "metadata": {},
   "source": [
    "# 'Education', 'Children', and 'Pets'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 283,
   "id": "a6dc7b4c-3388-4d5d-8623-cc39ac78dd16",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 3, 2, 4], dtype=int64)"
      ]
     },
     "execution_count": 283,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_reason_date_mod['Education'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 284,
   "id": "4e018400-94ee-4eb2-95e5-5ae7e2879493",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Education\n",
       "1    583\n",
       "3     73\n",
       "2     40\n",
       "4      4\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 284,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_reason_date_mod['Education'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "id": "a93621b0-e783-4232-becc-91599995fb03",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_reason_date_mod['Education'] = df_reason_date_mod['Education'].map({1:0, 2:1, 3:1, 4:1})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "id": "b5d49ccc-12c9-42b7-b0b3-7fc9af3eb887",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Education\n",
       "0    583\n",
       "1    117\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 287,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_reason_date_mod['Education'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "id": "1f2125fe-cf21-4969-adf0-9df7ba80801b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1], dtype=int64)"
      ]
     },
     "execution_count": 289,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_reason_date_mod['Education'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "id": "04719a7b-c163-4d22-a00c-a034c34fce5f",
   "metadata": {},
   "outputs": [
    {
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       "      <td>239.554</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>279</td>\n",
       "      <td>5</td>\n",
       "      <td>239.554</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>239.554</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Reason 1  Reason 2  Reason 3  Reason 4  Month Value  Day of the Week  \\\n",
       "0     False     False     False      True            7                1   \n",
       "1     False     False     False     False            7                1   \n",
       "2     False     False     False      True            7                2   \n",
       "3      True     False     False     False            7                3   \n",
       "4     False     False     False      True            7                3   \n",
       "\n",
       "   Transportation Expense  Distance to Work  Daily Work Load Average  \\\n",
       "0                     289                36                  239.554   \n",
       "1                     118                13                  239.554   \n",
       "2                     179                51                  239.554   \n",
       "3                     279                 5                  239.554   \n",
       "4                     289                36                  239.554   \n",
       "\n",
       "   Body Mass Index  Education  Children  Pets  Age Group 20s  Age Group 30s  \\\n",
       "0               30          0         2     1          False           True   \n",
       "1               31          0         1     0          False          False   \n",
       "2               31          0         0     0          False           True   \n",
       "3               24          0         2     0          False           True   \n",
       "4               30          0         2     1          False           True   \n",
       "\n",
       "   Age Group 40s  Age Group 50s  Absenteeism Time in Hours  \n",
       "0          False          False                          4  \n",
       "1          False           True                          0  \n",
       "2          False          False                          2  \n",
       "3          False          False                          4  \n",
       "4          False          False                          2  "
      ]
     },
     "execution_count": 288,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_reason_date_mod.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab30308a-fb8f-40c8-8580-85f023696994",
   "metadata": {},
   "source": [
    "# Education Checkpoint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "id": "5a7e395f-c550-467c-bc4b-2ac922a70a52",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_preprocessed = df_reason_date_mod.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "id": "0f9d74e5-d4ab-4b56-84cc-fe47591c3536",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Reason 1</th>\n",
       "      <th>Reason 2</th>\n",
       "      <th>Reason 3</th>\n",
       "      <th>Reason 4</th>\n",
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       "      <th>Distance to Work</th>\n",
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       "      <th>Body Mass Index</th>\n",
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       "      <th>Children</th>\n",
       "      <th>Pets</th>\n",
       "      <th>Age Group 20s</th>\n",
       "      <th>Age Group 30s</th>\n",
       "      <th>Age Group 40s</th>\n",
       "      <th>Age Group 50s</th>\n",
       "      <th>Absenteeism Time in Hours</th>\n",
       "    </tr>\n",
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       "      <td>0</td>\n",
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       "      <th>2</th>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>7</td>\n",
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       "      <td>239.554</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
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       "      <td>True</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>289</td>\n",
       "      <td>36</td>\n",
       "      <td>239.554</td>\n",
       "      <td>30</td>\n",
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      ],
      "text/plain": [
       "   Reason 1  Reason 2  Reason 3  Reason 4  Month Value  Day of the Week  \\\n",
       "0     False     False     False      True            7                1   \n",
       "1     False     False     False     False            7                1   \n",
       "2     False     False     False      True            7                2   \n",
       "3      True     False     False     False            7                3   \n",
       "4     False     False     False      True            7                3   \n",
       "\n",
       "   Transportation Expense  Distance to Work  Daily Work Load Average  \\\n",
       "0                     289                36                  239.554   \n",
       "1                     118                13                  239.554   \n",
       "2                     179                51                  239.554   \n",
       "3                     279                 5                  239.554   \n",
       "4                     289                36                  239.554   \n",
       "\n",
       "   Body Mass Index  Education  Children  Pets  Age Group 20s  Age Group 30s  \\\n",
       "0               30          0         2     1          False           True   \n",
       "1               31          0         1     0          False          False   \n",
       "2               31          0         0     0          False           True   \n",
       "3               24          0         2     0          False           True   \n",
       "4               30          0         2     1          False           True   \n",
       "\n",
       "   Age Group 40s  Age Group 50s  Absenteeism Time in Hours  \n",
       "0          False          False                          4  \n",
       "1          False           True                          0  \n",
       "2          False          False                          2  \n",
       "3          False          False                          4  \n",
       "4          False          False                          2  "
      ]
     },
     "execution_count": 291,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_preprocessed.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "id": "5294b4a4-bbd0-496f-8b4c-377d1e9b7c32",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_preprocessed.to_csv(\"Absenteeism Preprocessed.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6f157033-36ef-472d-9390-2fe2d0aa8e74",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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