60199130056_DataSci_Project.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Kankamon Thaweephol ID:60199130056"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Science Project  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Modeling PM10 Urban Pollution Using Machine Learning and Selected Meteorological Parameters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Importing Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "plt.style.use('ggplot') # make plots look better\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from math import sqrt\n",
    "from sklearn import metrics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Import Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "ทำการ import dataset และทำการเช็คข้อมูลที่มีอยู่ใน data set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv('11T_2006nd.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE</th>\n",
       "      <th>DATE.1</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>TIME</th>\n",
       "      <th>CO</th>\n",
       "      <th>NO</th>\n",
       "      <th>NOX</th>\n",
       "      <th>NO2</th>\n",
       "      <th>SO2</th>\n",
       "      <th>O3</th>\n",
       "      <th>PM10</th>\n",
       "      <th>WSPD</th>\n",
       "      <th>WDIR</th>\n",
       "      <th>TEMP</th>\n",
       "      <th>RHUM</th>\n",
       "      <th>GLOB</th>\n",
       "      <th>NRAD</th>\n",
       "      <th>PRES</th>\n",
       "      <th>STWD</th>\n",
       "      <th>RAIN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>22</td>\n",
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       "      <td>47</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>69</td>\n",
       "      <td>1</td>\n",
       "      <td>325</td>\n",
       "      <td>24.4</td>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>-29</td>\n",
       "      <td>758</td>\n",
       "      <td>20</td>\n",
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       "      <th>1</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>14</td>\n",
       "      <td>52</td>\n",
       "      <td>37</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>44</td>\n",
       "      <td>1.1</td>\n",
       "      <td>330</td>\n",
       "      <td>23.8</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>-28</td>\n",
       "      <td>757</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
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       "      <td>34</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>40</td>\n",
       "      <td>0.9</td>\n",
       "      <td>324</td>\n",
       "      <td>23.3</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>-27</td>\n",
       "      <td>757</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>49</td>\n",
       "      <td>32</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>36</td>\n",
       "      <td>1.1</td>\n",
       "      <td>317</td>\n",
       "      <td>22.8</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "      <td>-20</td>\n",
       "      <td>757</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>13</td>\n",
       "      <td>43</td>\n",
       "      <td>30</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>44</td>\n",
       "      <td>1.1</td>\n",
       "      <td>327</td>\n",
       "      <td>22.4</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>-25</td>\n",
       "      <td>757</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
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       "  </tbody>\n",
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      "text/plain": [
       "      DATE    DATE.1    YEAR   TIME   CO  NO NOX NO2 SO2 O3 PM10 WSPD WDIR  \\\n",
       "0  60101.0  1/1/2006  2006.0  100.0  1.3  22  68  47  11  2   69    1  325   \n",
       "1  60101.0  1/1/2006  2006.0  200.0  1.1  14  52  37   9  3   44  1.1  330   \n",
       "2  60101.0  1/1/2006  2006.0  300.0    1  19  53  34  11  1   40  0.9  324   \n",
       "3  60101.0  1/1/2006  2006.0  400.0    1  16  49  32  12  1   36  1.1  317   \n",
       "4  60101.0  1/1/2006  2006.0  500.0  1.1  13  43  30  11  2   44  1.1  327   \n",
       "\n",
       "   TEMP RHUM GLOB NRAD PRES STWD RAIN  \n",
       "0  24.4   57    0  -29  758   20    0  \n",
       "1  23.8   60    0  -28  757   24    0  \n",
       "2  23.3   62    0  -27  757   24    0  \n",
       "3  22.8   63    0  -20  757   20    0  \n",
       "4  22.4   64    0  -25  757   24    0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8760"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['DATE', 'DATE.1', 'YEAR', 'TIME', 'CO', 'NO', 'NOX', 'NO2', 'SO2', 'O3',\n",
       "       'PM10', 'WSPD', 'WDIR', 'TEMP', 'RHUM', 'GLOB', 'NRAD', 'PRES', 'STWD',\n",
       "       'RAIN'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "      <td>40</td>\n",
       "      <td>0.9</td>\n",
       "      <td>324</td>\n",
       "      <td>23.3</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>-27</td>\n",
       "      <td>757</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>49</td>\n",
       "      <td>32</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>36</td>\n",
       "      <td>1.1</td>\n",
       "      <td>317</td>\n",
       "      <td>22.8</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "      <td>-20</td>\n",
       "      <td>757</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>13</td>\n",
       "      <td>43</td>\n",
       "      <td>30</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>44</td>\n",
       "      <td>1.1</td>\n",
       "      <td>327</td>\n",
       "      <td>22.4</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>-25</td>\n",
       "      <td>757</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>21</td>\n",
       "      <td>51</td>\n",
       "      <td>30</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>42</td>\n",
       "      <td>1</td>\n",
       "      <td>322</td>\n",
       "      <td>22.4</td>\n",
       "      <td>64</td>\n",
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       "      <td>-12</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>23</td>\n",
       "      <td>52</td>\n",
       "      <td>29</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>41</td>\n",
       "      <td>1.2</td>\n",
       "      <td>317</td>\n",
       "      <td>22.1</td>\n",
       "      <td>65</td>\n",
       "      <td>0</td>\n",
       "      <td>-10</td>\n",
       "      <td>758</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>51</td>\n",
       "      <td>27</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>37</td>\n",
       "      <td>1.6</td>\n",
       "      <td>322</td>\n",
       "      <td>22.1</td>\n",
       "      <td>65</td>\n",
       "      <td>35</td>\n",
       "      <td>16</td>\n",
       "      <td>758</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>900.0</td>\n",
       "      <td>0.799999</td>\n",
       "      <td>15</td>\n",
       "      <td>38</td>\n",
       "      <td>24</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>33</td>\n",
       "      <td>2</td>\n",
       "      <td>343</td>\n",
       "      <td>23</td>\n",
       "      <td>62</td>\n",
       "      <td>104</td>\n",
       "      <td>72</td>\n",
       "      <td>759</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>8</td>\n",
       "      <td>31</td>\n",
       "      <td>23</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>38</td>\n",
       "      <td>1.8</td>\n",
       "      <td>344</td>\n",
       "      <td>24.7</td>\n",
       "      <td>57</td>\n",
       "      <td>257</td>\n",
       "      <td>285</td>\n",
       "      <td>759</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>9</td>\n",
       "      <td>32</td>\n",
       "      <td>23</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>38</td>\n",
       "      <td>0.9</td>\n",
       "      <td>12</td>\n",
       "      <td>26.5</td>\n",
       "      <td>52</td>\n",
       "      <td>316</td>\n",
       "      <td>305</td>\n",
       "      <td>759</td>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>35</td>\n",
       "      <td>30</td>\n",
       "      <td>1.1</td>\n",
       "      <td>12</td>\n",
       "      <td>27.3</td>\n",
       "      <td>51</td>\n",
       "      <td>313</td>\n",
       "      <td>297</td>\n",
       "      <td>759</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>14</td>\n",
       "      <td>7</td>\n",
       "      <td>42</td>\n",
       "      <td>22</td>\n",
       "      <td>1.3</td>\n",
       "      <td>5</td>\n",
       "      <td>27.8</td>\n",
       "      <td>49</td>\n",
       "      <td>348</td>\n",
       "      <td>303</td>\n",
       "      <td>758</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>0.599999</td>\n",
       "      <td>5</td>\n",
       "      <td>23</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "      <td>44</td>\n",
       "      <td>16</td>\n",
       "      <td>0.9</td>\n",
       "      <td>30</td>\n",
       "      <td>28.2</td>\n",
       "      <td>49</td>\n",
       "      <td>261</td>\n",
       "      <td>212</td>\n",
       "      <td>758</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>0.599999</td>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "      <td>17</td>\n",
       "      <td>9</td>\n",
       "      <td>37</td>\n",
       "      <td>17</td>\n",
       "      <td>0.9</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>50</td>\n",
       "      <td>207</td>\n",
       "      <td>161</td>\n",
       "      <td>757</td>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1600.0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>20</td>\n",
       "      <td>1.3</td>\n",
       "      <td>353</td>\n",
       "      <td>28.2</td>\n",
       "      <td>50</td>\n",
       "      <td>261</td>\n",
       "      <td>196</td>\n",
       "      <td>757</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1700.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>20</td>\n",
       "      <td>8</td>\n",
       "      <td>40</td>\n",
       "      <td>44</td>\n",
       "      <td>0.9</td>\n",
       "      <td>18</td>\n",
       "      <td>28.1</td>\n",
       "      <td>50</td>\n",
       "      <td>96</td>\n",
       "      <td>65</td>\n",
       "      <td>757</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>37</td>\n",
       "      <td>28</td>\n",
       "      <td>8</td>\n",
       "      <td>33</td>\n",
       "      <td>30</td>\n",
       "      <td>0.799999</td>\n",
       "      <td>10</td>\n",
       "      <td>27.5</td>\n",
       "      <td>52</td>\n",
       "      <td>35</td>\n",
       "      <td>3</td>\n",
       "      <td>757</td>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>4</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>8</td>\n",
       "      <td>23</td>\n",
       "      <td>38</td>\n",
       "      <td>1.5</td>\n",
       "      <td>324</td>\n",
       "      <td>26.2</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>-29</td>\n",
       "      <td>757</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>8</td>\n",
       "      <td>48</td>\n",
       "      <td>40</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>40</td>\n",
       "      <td>1.3</td>\n",
       "      <td>323</td>\n",
       "      <td>25.6</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "      <td>-27</td>\n",
       "      <td>757</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2100.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>24</td>\n",
       "      <td>68</td>\n",
       "      <td>44</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>33</td>\n",
       "      <td>0.9</td>\n",
       "      <td>328</td>\n",
       "      <td>25.4</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>-28</td>\n",
       "      <td>758</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2200.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>26</td>\n",
       "      <td>69</td>\n",
       "      <td>43</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>316</td>\n",
       "      <td>25.1</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>-27</td>\n",
       "      <td>758</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2300.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>50</td>\n",
       "      <td>96</td>\n",
       "      <td>46</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>0.799999</td>\n",
       "      <td>320</td>\n",
       "      <td>24.7</td>\n",
       "      <td>66</td>\n",
       "      <td>0</td>\n",
       "      <td>-27</td>\n",
       "      <td>758</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>30</td>\n",
       "      <td>77</td>\n",
       "      <td>47</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>317</td>\n",
       "      <td>24.5</td>\n",
       "      <td>67</td>\n",
       "      <td>0</td>\n",
       "      <td>-26</td>\n",
       "      <td>758</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>60102.0</td>\n",
       "      <td>2/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>9</td>\n",
       "      <td>47</td>\n",
       "      <td>38</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>322</td>\n",
       "      <td>24</td>\n",
       "      <td>69</td>\n",
       "      <td>0</td>\n",
       "      <td>-26</td>\n",
       "      <td>757</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>60102.0</td>\n",
       "      <td>2/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>12</td>\n",
       "      <td>50</td>\n",
       "      <td>38</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>36</td>\n",
       "      <td>0.9</td>\n",
       "      <td>326</td>\n",
       "      <td>23.6</td>\n",
       "      <td>70</td>\n",
       "      <td>0</td>\n",
       "      <td>-26</td>\n",
       "      <td>757</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>60102.0</td>\n",
       "      <td>2/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>11</td>\n",
       "      <td>47</td>\n",
       "      <td>35</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>40</td>\n",
       "      <td>1.2</td>\n",
       "      <td>317</td>\n",
       "      <td>23.2</td>\n",
       "      <td>71</td>\n",
       "      <td>0</td>\n",
       "      <td>-25</td>\n",
       "      <td>757</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>60102.0</td>\n",
       "      <td>2/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>7</td>\n",
       "      <td>36</td>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>34</td>\n",
       "      <td>1.1</td>\n",
       "      <td>319</td>\n",
       "      <td>23</td>\n",
       "      <td>70</td>\n",
       "      <td>0</td>\n",
       "      <td>-18</td>\n",
       "      <td>756</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>60102.0</td>\n",
       "      <td>2/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>40</td>\n",
       "      <td>30</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>38</td>\n",
       "      <td>1.2</td>\n",
       "      <td>320</td>\n",
       "      <td>23.1</td>\n",
       "      <td>68</td>\n",
       "      <td>0</td>\n",
       "      <td>-10</td>\n",
       "      <td>757</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>60102.0</td>\n",
       "      <td>2/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>43</td>\n",
       "      <td>30</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>1.3</td>\n",
       "      <td>323</td>\n",
       "      <td>22.9</td>\n",
       "      <td>69</td>\n",
       "      <td>0</td>\n",
       "      <td>-10</td>\n",
       "      <td>757</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8730</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8731</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8732</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8733</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8734</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
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       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8760 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         DATE    DATE.1    YEAR    TIME        CO    NO   NOX   NO2   SO2  \\\n",
       "0     60101.0  1/1/2006  2006.0   100.0       1.3    22    68    47    11   \n",
       "1     60101.0  1/1/2006  2006.0   200.0       1.1    14    52    37     9   \n",
       "2     60101.0  1/1/2006  2006.0   300.0         1    19    53    34    11   \n",
       "3     60101.0  1/1/2006  2006.0   400.0         1    16    49    32    12   \n",
       "4     60101.0  1/1/2006  2006.0   500.0       1.1    13    43    30    11   \n",
       "5     60101.0  1/1/2006  2006.0   600.0       1.1    21    51    30    12   \n",
       "6     60101.0  1/1/2006  2006.0   700.0       1.2    23    52    29    15   \n",
       "7     60101.0  1/1/2006  2006.0   800.0         1    24    51    27    12   \n",
       "8     60101.0  1/1/2006  2006.0   900.0  0.799999    15    38    24    11   \n",
       "9     60101.0  1/1/2006  2006.0  1000.0       0.7     8    31    23     9   \n",
       "10    60101.0  1/1/2006  2006.0  1100.0       0.7     9    32    23     9   \n",
       "11    60101.0  1/1/2006  2006.0  1200.0       0.7     6    23    17     7   \n",
       "12    60101.0  1/1/2006  2006.0  1300.0       0.7     4    19    14     7   \n",
       "13    60101.0  1/1/2006  2006.0  1400.0  0.599999     5    23    18     7   \n",
       "14    60101.0  1/1/2006  2006.0  1500.0  0.599999     6    23    17     9   \n",
       "15    60101.0  1/1/2006  2006.0  1600.0                                     \n",
       "16    60101.0  1/1/2006  2006.0  1700.0       0.9     6    26    20     8   \n",
       "17    60101.0  1/1/2006  2006.0  1800.0         1     9    37    28     8   \n",
       "18    60101.0  1/1/2006  2006.0  1900.0       1.1     4    35    31     8   \n",
       "19    60101.0  1/1/2006  2006.0  2000.0       1.2     8    48    40     9   \n",
       "20    60101.0  1/1/2006  2006.0  2100.0       1.3    24    68    44     9   \n",
       "21    60101.0  1/1/2006  2006.0  2200.0       1.3    26    69    43     6   \n",
       "22    60101.0  1/1/2006  2006.0  2300.0       1.6    50    96    46     7   \n",
       "23    60101.0  1/1/2006  2006.0  2400.0       1.3    30    77    47     6   \n",
       "24    60102.0  2/1/2006  2006.0   100.0       1.1     9    47    38     6   \n",
       "25    60102.0  2/1/2006  2006.0   200.0       1.1    12    50    38     6   \n",
       "26    60102.0  2/1/2006  2006.0   300.0       1.1    11    47    35     6   \n",
       "27    60102.0  2/1/2006  2006.0   400.0       0.9     7    36    29     7   \n",
       "28    60102.0  2/1/2006  2006.0   500.0         1     9    40    30     8   \n",
       "29    60102.0  2/1/2006  2006.0   600.0         1    13    43    30     9   \n",
       "...       ...       ...     ...     ...       ...   ...   ...   ...   ...   \n",
       "8730      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8731      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8732      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8733      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8734      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8735      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8736      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8737      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8738      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8739      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8740      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8741      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8742      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8743      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8744      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8745      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8746      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8747      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8748      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8749      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8750      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8751      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8752      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8753      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8754      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8755      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8756      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8757      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8758      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "8759      NaN       NaN     NaN     NaN       NaN   NaN   NaN   NaN   NaN   \n",
       "\n",
       "        O3 PM10      WSPD WDIR  TEMP RHUM GLOB NRAD PRES STWD RAIN  \n",
       "0        2   69         1  325  24.4   57    0  -29  758   20    0  \n",
       "1        3   44       1.1  330  23.8   60    0  -28  757   24    0  \n",
       "2        1   40       0.9  324  23.3   62    0  -27  757   24    0  \n",
       "3        1   36       1.1  317  22.8   63    0  -20  757   20    0  \n",
       "4        2   44       1.1  327  22.4   64    0  -25  757   24    0  \n",
       "5        2   42         1  322  22.4   64    0  -12  757   29    0  \n",
       "6        1   41       1.2  317  22.1   65    0  -10  758   20    0  \n",
       "7        2   37       1.6  322  22.1   65   35   16  758   24    0  \n",
       "8       10   33         2  343    23   62  104   72  759   24    0  \n",
       "9       21   38       1.8  344  24.7   57  257  285  759   29    0  \n",
       "10      28   38       0.9   12  26.5   52  316  305  759   59    0  \n",
       "11      35   30       1.1   12  27.3   51  313  297  759   54    0  \n",
       "12      42   22       1.3    5  27.8   49  348  303  758   54    0  \n",
       "13      44   16       0.9   30  28.2   49  261  212  758   63    0  \n",
       "14      37   17       0.9   52    28   50  207  161  757   59    0  \n",
       "15           20       1.3  353  28.2   50  261  196  757   39    0  \n",
       "16      40   44       0.9   18  28.1   50   96   65  757   63    0  \n",
       "17      33   30  0.799999   10  27.5   52   35    3  757   49    0  \n",
       "18      23   38       1.5  324  26.2   60    0  -29  757   29    0  \n",
       "19       6   40       1.3  323  25.6   63    0  -27  757   24    0  \n",
       "20       1   33       0.9  328  25.4   64    0  -28  758   20    0  \n",
       "21       1   30         1  316  25.1   64    0  -27  758   24    0  \n",
       "22       0   42  0.799999  320  24.7   66    0  -27  758   20    0  \n",
       "23       1   43         1  317  24.5   67    0  -26  758   24    0  \n",
       "24       4   44         1  322    24   69    0  -26  757   24    0  \n",
       "25       2   36       0.9  326  23.6   70    0  -26  757   20    0  \n",
       "26       3   40       1.2  317  23.2   71    0  -25  757   29    0  \n",
       "27       4   34       1.1  319    23   70    0  -18  756   24    0  \n",
       "28       3   38       1.2  320  23.1   68    0  -10  757   24    0  \n",
       "29       2   41       1.3  323  22.9   69    0  -10  757   24    0  \n",
       "...    ...  ...       ...  ...   ...  ...  ...  ...  ...  ...  ...  \n",
       "8730   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8731   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8732   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8733   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8734   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8735   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8736   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8737   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8738   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8739   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8740   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8741   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8742   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8743   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8744   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8745   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8746   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8747   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8748   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8749   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8750   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8751   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8752   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8753   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8754   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8755   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8756   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8757   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8758   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "8759   NaN  NaN       NaN  NaN   NaN  NaN  NaN  NaN  NaN  NaN  NaN  \n",
       "\n",
       "[8760 rows x 20 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Data Wrangling"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "ทำการเช็คข้อมูลว่าตรงไหนมีค่าว่างให้ทำการเติม nan ลงไป และจากนั้นจึงทำการ drop ทิ้งไป"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df.replace(r'^\\s*$', np.nan, regex=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3064"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df[df.isnull().any(axis=1)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "r_index = df[df.isnull().any(axis=1)].index.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3064"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(r_index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_drop = df.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE</th>\n",
       "      <th>DATE.1</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>TIME</th>\n",
       "      <th>CO</th>\n",
       "      <th>NO</th>\n",
       "      <th>NOX</th>\n",
       "      <th>NO2</th>\n",
       "      <th>SO2</th>\n",
       "      <th>O3</th>\n",
       "      <th>PM10</th>\n",
       "      <th>WSPD</th>\n",
       "      <th>WDIR</th>\n",
       "      <th>TEMP</th>\n",
       "      <th>RHUM</th>\n",
       "      <th>GLOB</th>\n",
       "      <th>NRAD</th>\n",
       "      <th>PRES</th>\n",
       "      <th>STWD</th>\n",
       "      <th>RAIN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>22</td>\n",
       "      <td>68</td>\n",
       "      <td>47</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>69</td>\n",
       "      <td>1</td>\n",
       "      <td>325</td>\n",
       "      <td>24.4</td>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>-29</td>\n",
       "      <td>758</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>14</td>\n",
       "      <td>52</td>\n",
       "      <td>37</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>44</td>\n",
       "      <td>1.1</td>\n",
       "      <td>330</td>\n",
       "      <td>23.8</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>-28</td>\n",
       "      <td>757</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>53</td>\n",
       "      <td>34</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>40</td>\n",
       "      <td>0.9</td>\n",
       "      <td>324</td>\n",
       "      <td>23.3</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>-27</td>\n",
       "      <td>757</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>49</td>\n",
       "      <td>32</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>36</td>\n",
       "      <td>1.1</td>\n",
       "      <td>317</td>\n",
       "      <td>22.8</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "      <td>-20</td>\n",
       "      <td>757</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>13</td>\n",
       "      <td>43</td>\n",
       "      <td>30</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>44</td>\n",
       "      <td>1.1</td>\n",
       "      <td>327</td>\n",
       "      <td>22.4</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>-25</td>\n",
       "      <td>757</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>21</td>\n",
       "      <td>51</td>\n",
       "      <td>30</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>42</td>\n",
       "      <td>1</td>\n",
       "      <td>322</td>\n",
       "      <td>22.4</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>-12</td>\n",
       "      <td>757</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>23</td>\n",
       "      <td>52</td>\n",
       "      <td>29</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>41</td>\n",
       "      <td>1.2</td>\n",
       "      <td>317</td>\n",
       "      <td>22.1</td>\n",
       "      <td>65</td>\n",
       "      <td>0</td>\n",
       "      <td>-10</td>\n",
       "      <td>758</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>51</td>\n",
       "      <td>27</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>37</td>\n",
       "      <td>1.6</td>\n",
       "      <td>322</td>\n",
       "      <td>22.1</td>\n",
       "      <td>65</td>\n",
       "      <td>35</td>\n",
       "      <td>16</td>\n",
       "      <td>758</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>900.0</td>\n",
       "      <td>0.799999</td>\n",
       "      <td>15</td>\n",
       "      <td>38</td>\n",
       "      <td>24</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>33</td>\n",
       "      <td>2</td>\n",
       "      <td>343</td>\n",
       "      <td>23</td>\n",
       "      <td>62</td>\n",
       "      <td>104</td>\n",
       "      <td>72</td>\n",
       "      <td>759</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>8</td>\n",
       "      <td>31</td>\n",
       "      <td>23</td>\n",
       "      <td>9</td>\n",
       "      <td>21</td>\n",
       "      <td>38</td>\n",
       "      <td>1.8</td>\n",
       "      <td>344</td>\n",
       "      <td>24.7</td>\n",
       "      <td>57</td>\n",
       "      <td>257</td>\n",
       "      <td>285</td>\n",
       "      <td>759</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>9</td>\n",
       "      <td>32</td>\n",
       "      <td>23</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>38</td>\n",
       "      <td>0.9</td>\n",
       "      <td>12</td>\n",
       "      <td>26.5</td>\n",
       "      <td>52</td>\n",
       "      <td>316</td>\n",
       "      <td>305</td>\n",
       "      <td>759</td>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>35</td>\n",
       "      <td>30</td>\n",
       "      <td>1.1</td>\n",
       "      <td>12</td>\n",
       "      <td>27.3</td>\n",
       "      <td>51</td>\n",
       "      <td>313</td>\n",
       "      <td>297</td>\n",
       "      <td>759</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>14</td>\n",
       "      <td>7</td>\n",
       "      <td>42</td>\n",
       "      <td>22</td>\n",
       "      <td>1.3</td>\n",
       "      <td>5</td>\n",
       "      <td>27.8</td>\n",
       "      <td>49</td>\n",
       "      <td>348</td>\n",
       "      <td>303</td>\n",
       "      <td>758</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>0.599999</td>\n",
       "      <td>5</td>\n",
       "      <td>23</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "      <td>44</td>\n",
       "      <td>16</td>\n",
       "      <td>0.9</td>\n",
       "      <td>30</td>\n",
       "      <td>28.2</td>\n",
       "      <td>49</td>\n",
       "      <td>261</td>\n",
       "      <td>212</td>\n",
       "      <td>758</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>0.599999</td>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "      <td>17</td>\n",
       "      <td>9</td>\n",
       "      <td>37</td>\n",
       "      <td>17</td>\n",
       "      <td>0.9</td>\n",
       "      <td>52</td>\n",
       "      <td>28</td>\n",
       "      <td>50</td>\n",
       "      <td>207</td>\n",
       "      <td>161</td>\n",
       "      <td>757</td>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1700.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>20</td>\n",
       "      <td>8</td>\n",
       "      <td>40</td>\n",
       "      <td>44</td>\n",
       "      <td>0.9</td>\n",
       "      <td>18</td>\n",
       "      <td>28.1</td>\n",
       "      <td>50</td>\n",
       "      <td>96</td>\n",
       "      <td>65</td>\n",
       "      <td>757</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>37</td>\n",
       "      <td>28</td>\n",
       "      <td>8</td>\n",
       "      <td>33</td>\n",
       "      <td>30</td>\n",
       "      <td>0.799999</td>\n",
       "      <td>10</td>\n",
       "      <td>27.5</td>\n",
       "      <td>52</td>\n",
       "      <td>35</td>\n",
       "      <td>3</td>\n",
       "      <td>757</td>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>4</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>8</td>\n",
       "      <td>23</td>\n",
       "      <td>38</td>\n",
       "      <td>1.5</td>\n",
       "      <td>324</td>\n",
       "      <td>26.2</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>-29</td>\n",
       "      <td>757</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>8</td>\n",
       "      <td>48</td>\n",
       "      <td>40</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>40</td>\n",
       "      <td>1.3</td>\n",
       "      <td>323</td>\n",
       "      <td>25.6</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "      <td>-27</td>\n",
       "      <td>757</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2100.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>24</td>\n",
       "      <td>68</td>\n",
       "      <td>44</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>33</td>\n",
       "      <td>0.9</td>\n",
       "      <td>328</td>\n",
       "      <td>25.4</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>-28</td>\n",
       "      <td>758</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2200.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>26</td>\n",
       "      <td>69</td>\n",
       "      <td>43</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>316</td>\n",
       "      <td>25.1</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>-27</td>\n",
       "      <td>758</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2300.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>50</td>\n",
       "      <td>96</td>\n",
       "      <td>46</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>0.799999</td>\n",
       "      <td>320</td>\n",
       "      <td>24.7</td>\n",
       "      <td>66</td>\n",
       "      <td>0</td>\n",
       "      <td>-27</td>\n",
       "      <td>758</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>60101.0</td>\n",
       "      <td>1/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>30</td>\n",
       "      <td>77</td>\n",
       "      <td>47</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>317</td>\n",
       "      <td>24.5</td>\n",
       "      <td>67</td>\n",
       "      <td>0</td>\n",
       "      <td>-26</td>\n",
       "      <td>758</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>60102.0</td>\n",
       "      <td>2/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>9</td>\n",
       "      <td>47</td>\n",
       "      <td>38</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>322</td>\n",
       "      <td>24</td>\n",
       "      <td>69</td>\n",
       "      <td>0</td>\n",
       "      <td>-26</td>\n",
       "      <td>757</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>60102.0</td>\n",
       "      <td>2/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>12</td>\n",
       "      <td>50</td>\n",
       "      <td>38</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>36</td>\n",
       "      <td>0.9</td>\n",
       "      <td>326</td>\n",
       "      <td>23.6</td>\n",
       "      <td>70</td>\n",
       "      <td>0</td>\n",
       "      <td>-26</td>\n",
       "      <td>757</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>60102.0</td>\n",
       "      <td>2/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>11</td>\n",
       "      <td>47</td>\n",
       "      <td>35</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>40</td>\n",
       "      <td>1.2</td>\n",
       "      <td>317</td>\n",
       "      <td>23.2</td>\n",
       "      <td>71</td>\n",
       "      <td>0</td>\n",
       "      <td>-25</td>\n",
       "      <td>757</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>60102.0</td>\n",
       "      <td>2/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>7</td>\n",
       "      <td>36</td>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>34</td>\n",
       "      <td>1.1</td>\n",
       "      <td>319</td>\n",
       "      <td>23</td>\n",
       "      <td>70</td>\n",
       "      <td>0</td>\n",
       "      <td>-18</td>\n",
       "      <td>756</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>60102.0</td>\n",
       "      <td>2/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>40</td>\n",
       "      <td>30</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>38</td>\n",
       "      <td>1.2</td>\n",
       "      <td>320</td>\n",
       "      <td>23.1</td>\n",
       "      <td>68</td>\n",
       "      <td>0</td>\n",
       "      <td>-10</td>\n",
       "      <td>757</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>60102.0</td>\n",
       "      <td>2/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>43</td>\n",
       "      <td>30</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>1.3</td>\n",
       "      <td>323</td>\n",
       "      <td>22.9</td>\n",
       "      <td>69</td>\n",
       "      <td>0</td>\n",
       "      <td>-10</td>\n",
       "      <td>757</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>60102.0</td>\n",
       "      <td>2/1/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>45</td>\n",
       "      <td>28</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>40</td>\n",
       "      <td>1.5</td>\n",
       "      <td>327</td>\n",
       "      <td>22.7</td>\n",
       "      <td>70</td>\n",
       "      <td>3</td>\n",
       "      <td>-7</td>\n",
       "      <td>757</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7263</th>\n",
       "      <td>61030.0</td>\n",
       "      <td>10/30/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1600.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>7</td>\n",
       "      <td>35</td>\n",
       "      <td>28</td>\n",
       "      <td>5</td>\n",
       "      <td>73</td>\n",
       "      <td>87</td>\n",
       "      <td>1.5</td>\n",
       "      <td>341</td>\n",
       "      <td>32.4</td>\n",
       "      <td>47</td>\n",
       "      <td>206</td>\n",
       "      <td>134</td>\n",
       "      <td>759</td>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7264</th>\n",
       "      <td>61030.0</td>\n",
       "      <td>10/30/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1700.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>24</td>\n",
       "      <td>70</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>97</td>\n",
       "      <td>1.2</td>\n",
       "      <td>49</td>\n",
       "      <td>32.2</td>\n",
       "      <td>46</td>\n",
       "      <td>95</td>\n",
       "      <td>21</td>\n",
       "      <td>759</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7265</th>\n",
       "      <td>61030.0</td>\n",
       "      <td>10/30/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>36</td>\n",
       "      <td>99</td>\n",
       "      <td>63</td>\n",
       "      <td>6</td>\n",
       "      <td>27</td>\n",
       "      <td>79</td>\n",
       "      <td>0.7</td>\n",
       "      <td>79</td>\n",
       "      <td>31.5</td>\n",
       "      <td>49</td>\n",
       "      <td>13</td>\n",
       "      <td>-32</td>\n",
       "      <td>759</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7266</th>\n",
       "      <td>61030.0</td>\n",
       "      <td>10/30/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>34</td>\n",
       "      <td>87</td>\n",
       "      <td>53</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>87</td>\n",
       "      <td>0.4</td>\n",
       "      <td>103</td>\n",
       "      <td>30.7</td>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "      <td>-41</td>\n",
       "      <td>759</td>\n",
       "      <td>78</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7267</th>\n",
       "      <td>61030.0</td>\n",
       "      <td>10/30/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>48</td>\n",
       "      <td>100</td>\n",
       "      <td>52</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>84</td>\n",
       "      <td>0.4</td>\n",
       "      <td>72</td>\n",
       "      <td>30.2</td>\n",
       "      <td>55</td>\n",
       "      <td>0</td>\n",
       "      <td>-39</td>\n",
       "      <td>760</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7268</th>\n",
       "      <td>61030.0</td>\n",
       "      <td>10/30/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2100.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>79</td>\n",
       "      <td>131</td>\n",
       "      <td>53</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>86</td>\n",
       "      <td>0.5</td>\n",
       "      <td>88</td>\n",
       "      <td>29.9</td>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>-36</td>\n",
       "      <td>760</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7269</th>\n",
       "      <td>61030.0</td>\n",
       "      <td>10/30/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2200.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>44</td>\n",
       "      <td>90</td>\n",
       "      <td>46</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>83</td>\n",
       "      <td>0.799999</td>\n",
       "      <td>55</td>\n",
       "      <td>29.6</td>\n",
       "      <td>57</td>\n",
       "      <td>1</td>\n",
       "      <td>-37</td>\n",
       "      <td>761</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7270</th>\n",
       "      <td>61030.0</td>\n",
       "      <td>10/30/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2300.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>25</td>\n",
       "      <td>64</td>\n",
       "      <td>40</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>92</td>\n",
       "      <td>0.799999</td>\n",
       "      <td>39</td>\n",
       "      <td>28.9</td>\n",
       "      <td>61</td>\n",
       "      <td>1</td>\n",
       "      <td>-36</td>\n",
       "      <td>760</td>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7271</th>\n",
       "      <td>61030.0</td>\n",
       "      <td>10/30/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>20</td>\n",
       "      <td>55</td>\n",
       "      <td>35</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>94</td>\n",
       "      <td>0.9</td>\n",
       "      <td>34</td>\n",
       "      <td>28.3</td>\n",
       "      <td>65</td>\n",
       "      <td>1</td>\n",
       "      <td>-34</td>\n",
       "      <td>760</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7272</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>21</td>\n",
       "      <td>55</td>\n",
       "      <td>35</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>100</td>\n",
       "      <td>0.799999</td>\n",
       "      <td>36</td>\n",
       "      <td>27.9</td>\n",
       "      <td>67</td>\n",
       "      <td>1</td>\n",
       "      <td>-34</td>\n",
       "      <td>760</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7273</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>12</td>\n",
       "      <td>41</td>\n",
       "      <td>29</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>78</td>\n",
       "      <td>0.799999</td>\n",
       "      <td>35</td>\n",
       "      <td>27.4</td>\n",
       "      <td>69</td>\n",
       "      <td>0</td>\n",
       "      <td>-33</td>\n",
       "      <td>760</td>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7274</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>26</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>59</td>\n",
       "      <td>0.7</td>\n",
       "      <td>16</td>\n",
       "      <td>27.1</td>\n",
       "      <td>70</td>\n",
       "      <td>0</td>\n",
       "      <td>-33</td>\n",
       "      <td>760</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7275</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.799999</td>\n",
       "      <td>9</td>\n",
       "      <td>34</td>\n",
       "      <td>25</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>65</td>\n",
       "      <td>1.2</td>\n",
       "      <td>349</td>\n",
       "      <td>26.7</td>\n",
       "      <td>71</td>\n",
       "      <td>1</td>\n",
       "      <td>-32</td>\n",
       "      <td>760</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7278</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>55</td>\n",
       "      <td>91</td>\n",
       "      <td>36</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>96</td>\n",
       "      <td>1.2</td>\n",
       "      <td>346</td>\n",
       "      <td>26.4</td>\n",
       "      <td>72</td>\n",
       "      <td>22</td>\n",
       "      <td>-13</td>\n",
       "      <td>761</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7279</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>43</td>\n",
       "      <td>80</td>\n",
       "      <td>37</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>83</td>\n",
       "      <td>1.4</td>\n",
       "      <td>349</td>\n",
       "      <td>27.1</td>\n",
       "      <td>69</td>\n",
       "      <td>92</td>\n",
       "      <td>45</td>\n",
       "      <td>761</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7280</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>900.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>37</td>\n",
       "      <td>80</td>\n",
       "      <td>43</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>112</td>\n",
       "      <td>1.2</td>\n",
       "      <td>349</td>\n",
       "      <td>28.2</td>\n",
       "      <td>65</td>\n",
       "      <td>100</td>\n",
       "      <td>61</td>\n",
       "      <td>762</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7281</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>42</td>\n",
       "      <td>30</td>\n",
       "      <td>3</td>\n",
       "      <td>24</td>\n",
       "      <td>92</td>\n",
       "      <td>1.6</td>\n",
       "      <td>333</td>\n",
       "      <td>28.9</td>\n",
       "      <td>62</td>\n",
       "      <td>225</td>\n",
       "      <td>250</td>\n",
       "      <td>762</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7282</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>7</td>\n",
       "      <td>34</td>\n",
       "      <td>23</td>\n",
       "      <td>3</td>\n",
       "      <td>35</td>\n",
       "      <td>81</td>\n",
       "      <td>1.1</td>\n",
       "      <td>360</td>\n",
       "      <td>30.1</td>\n",
       "      <td>58</td>\n",
       "      <td>287</td>\n",
       "      <td>326</td>\n",
       "      <td>761</td>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7283</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>4</td>\n",
       "      <td>25</td>\n",
       "      <td>21</td>\n",
       "      <td>4</td>\n",
       "      <td>49</td>\n",
       "      <td>68</td>\n",
       "      <td>1.4</td>\n",
       "      <td>355</td>\n",
       "      <td>31</td>\n",
       "      <td>53</td>\n",
       "      <td>326</td>\n",
       "      <td>331</td>\n",
       "      <td>761</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7284</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>3</td>\n",
       "      <td>20</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>61</td>\n",
       "      <td>60</td>\n",
       "      <td>1.2</td>\n",
       "      <td>5</td>\n",
       "      <td>32.4</td>\n",
       "      <td>48</td>\n",
       "      <td>598</td>\n",
       "      <td>442</td>\n",
       "      <td>760</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7285</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>0.599999</td>\n",
       "      <td>2</td>\n",
       "      <td>21</td>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "      <td>65</td>\n",
       "      <td>39</td>\n",
       "      <td>1.4</td>\n",
       "      <td>350</td>\n",
       "      <td>33.2</td>\n",
       "      <td>46</td>\n",
       "      <td>507</td>\n",
       "      <td>370</td>\n",
       "      <td>759</td>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7287</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1600.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>12</td>\n",
       "      <td>47</td>\n",
       "      <td>35</td>\n",
       "      <td>7</td>\n",
       "      <td>46</td>\n",
       "      <td>47</td>\n",
       "      <td>1.1</td>\n",
       "      <td>24</td>\n",
       "      <td>33.1</td>\n",
       "      <td>43</td>\n",
       "      <td>210</td>\n",
       "      <td>135</td>\n",
       "      <td>758</td>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7288</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1700.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>26</td>\n",
       "      <td>68</td>\n",
       "      <td>43</td>\n",
       "      <td>7</td>\n",
       "      <td>35</td>\n",
       "      <td>76</td>\n",
       "      <td>0.9</td>\n",
       "      <td>34</td>\n",
       "      <td>32.4</td>\n",
       "      <td>45</td>\n",
       "      <td>81</td>\n",
       "      <td>19</td>\n",
       "      <td>759</td>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7289</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>14</td>\n",
       "      <td>57</td>\n",
       "      <td>43</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>76</td>\n",
       "      <td>0.7</td>\n",
       "      <td>66</td>\n",
       "      <td>31.4</td>\n",
       "      <td>51</td>\n",
       "      <td>15</td>\n",
       "      <td>-27</td>\n",
       "      <td>759</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7290</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>33</td>\n",
       "      <td>82</td>\n",
       "      <td>50</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>79</td>\n",
       "      <td>0.5</td>\n",
       "      <td>86</td>\n",
       "      <td>30.7</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "      <td>-38</td>\n",
       "      <td>759</td>\n",
       "      <td>73</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7291</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>2.1</td>\n",
       "      <td>59</td>\n",
       "      <td>113</td>\n",
       "      <td>54</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>69</td>\n",
       "      <td>0.599999</td>\n",
       "      <td>90</td>\n",
       "      <td>30.3</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "      <td>-36</td>\n",
       "      <td>760</td>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7292</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2100.0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>102</td>\n",
       "      <td>163</td>\n",
       "      <td>61</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>74</td>\n",
       "      <td>0.5</td>\n",
       "      <td>93</td>\n",
       "      <td>30.1</td>\n",
       "      <td>55</td>\n",
       "      <td>0</td>\n",
       "      <td>-34</td>\n",
       "      <td>761</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7293</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2200.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>48</td>\n",
       "      <td>95</td>\n",
       "      <td>47</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>81</td>\n",
       "      <td>0.9</td>\n",
       "      <td>66</td>\n",
       "      <td>29.6</td>\n",
       "      <td>58</td>\n",
       "      <td>0</td>\n",
       "      <td>-35</td>\n",
       "      <td>761</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7294</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2300.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>23</td>\n",
       "      <td>62</td>\n",
       "      <td>39</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>82</td>\n",
       "      <td>1</td>\n",
       "      <td>34</td>\n",
       "      <td>28.9</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>-35</td>\n",
       "      <td>761</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7295</th>\n",
       "      <td>61031.0</td>\n",
       "      <td>10/31/2006</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>21</td>\n",
       "      <td>59</td>\n",
       "      <td>38</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>86</td>\n",
       "      <td>0.799999</td>\n",
       "      <td>36</td>\n",
       "      <td>28.5</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "      <td>-36</td>\n",
       "      <td>761</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5696 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         DATE      DATE.1    YEAR    TIME        CO   NO  NOX NO2 SO2  O3  \\\n",
       "0     60101.0    1/1/2006  2006.0   100.0       1.3   22   68  47  11   2   \n",
       "1     60101.0    1/1/2006  2006.0   200.0       1.1   14   52  37   9   3   \n",
       "2     60101.0    1/1/2006  2006.0   300.0         1   19   53  34  11   1   \n",
       "3     60101.0    1/1/2006  2006.0   400.0         1   16   49  32  12   1   \n",
       "4     60101.0    1/1/2006  2006.0   500.0       1.1   13   43  30  11   2   \n",
       "5     60101.0    1/1/2006  2006.0   600.0       1.1   21   51  30  12   2   \n",
       "6     60101.0    1/1/2006  2006.0   700.0       1.2   23   52  29  15   1   \n",
       "7     60101.0    1/1/2006  2006.0   800.0         1   24   51  27  12   2   \n",
       "8     60101.0    1/1/2006  2006.0   900.0  0.799999   15   38  24  11  10   \n",
       "9     60101.0    1/1/2006  2006.0  1000.0       0.7    8   31  23   9  21   \n",
       "10    60101.0    1/1/2006  2006.0  1100.0       0.7    9   32  23   9  28   \n",
       "11    60101.0    1/1/2006  2006.0  1200.0       0.7    6   23  17   7  35   \n",
       "12    60101.0    1/1/2006  2006.0  1300.0       0.7    4   19  14   7  42   \n",
       "13    60101.0    1/1/2006  2006.0  1400.0  0.599999    5   23  18   7  44   \n",
       "14    60101.0    1/1/2006  2006.0  1500.0  0.599999    6   23  17   9  37   \n",
       "16    60101.0    1/1/2006  2006.0  1700.0       0.9    6   26  20   8  40   \n",
       "17    60101.0    1/1/2006  2006.0  1800.0         1    9   37  28   8  33   \n",
       "18    60101.0    1/1/2006  2006.0  1900.0       1.1    4   35  31   8  23   \n",
       "19    60101.0    1/1/2006  2006.0  2000.0       1.2    8   48  40   9   6   \n",
       "20    60101.0    1/1/2006  2006.0  2100.0       1.3   24   68  44   9   1   \n",
       "21    60101.0    1/1/2006  2006.0  2200.0       1.3   26   69  43   6   1   \n",
       "22    60101.0    1/1/2006  2006.0  2300.0       1.6   50   96  46   7   0   \n",
       "23    60101.0    1/1/2006  2006.0  2400.0       1.3   30   77  47   6   1   \n",
       "24    60102.0    2/1/2006  2006.0   100.0       1.1    9   47  38   6   4   \n",
       "25    60102.0    2/1/2006  2006.0   200.0       1.1   12   50  38   6   2   \n",
       "26    60102.0    2/1/2006  2006.0   300.0       1.1   11   47  35   6   3   \n",
       "27    60102.0    2/1/2006  2006.0   400.0       0.9    7   36  29   7   4   \n",
       "28    60102.0    2/1/2006  2006.0   500.0         1    9   40  30   8   3   \n",
       "29    60102.0    2/1/2006  2006.0   600.0         1   13   43  30   9   2   \n",
       "30    60102.0    2/1/2006  2006.0   700.0         1   17   45  28   8   2   \n",
       "...       ...         ...     ...     ...       ...  ...  ...  ..  ..  ..   \n",
       "7263  61030.0  10/30/2006  2006.0  1600.0       0.9    7   35  28   5  73   \n",
       "7264  61030.0  10/30/2006  2006.0  1700.0       1.2   24   70  45   0  46   \n",
       "7265  61030.0  10/30/2006  2006.0  1800.0       1.8   36   99  63   6  27   \n",
       "7266  61030.0  10/30/2006  2006.0  1900.0       2.4   34   87  53  12  12   \n",
       "7267  61030.0  10/30/2006  2006.0  2000.0       2.4   48  100  52  12   5   \n",
       "7268  61030.0  10/30/2006  2006.0  2100.0       2.5   79  131  53  12   5   \n",
       "7269  61030.0  10/30/2006  2006.0  2200.0       1.6   44   90  46  10   8   \n",
       "7270  61030.0  10/30/2006  2006.0  2300.0       1.5   25   64  40   9   8   \n",
       "7271  61030.0  10/30/2006  2006.0  2400.0       1.3   20   55  35   7  10   \n",
       "7272  61031.0  10/31/2006  2006.0   100.0       1.1   21   55  35   6   9   \n",
       "7273  61031.0  10/31/2006  2006.0   200.0       0.9   12   41  29   5  12   \n",
       "7274  61031.0  10/31/2006  2006.0   300.0       0.9   10   37  26   4  12   \n",
       "7275  61031.0  10/31/2006  2006.0   400.0  0.799999    9   34  25   4  13   \n",
       "7278  61031.0  10/31/2006  2006.0   700.0       1.2   55   91  36   6   5   \n",
       "7279  61031.0  10/31/2006  2006.0   800.0       1.2   43   80  37   4   6   \n",
       "7280  61031.0  10/31/2006  2006.0   900.0       1.3   37   80  43   3   9   \n",
       "7281  61031.0  10/31/2006  2006.0  1000.0         1   12   42  30   3  24   \n",
       "7282  61031.0  10/31/2006  2006.0  1100.0       0.9    7   34  23   3  35   \n",
       "7283  61031.0  10/31/2006  2006.0  1200.0       0.9    4   25  21   4  49   \n",
       "7284  61031.0  10/31/2006  2006.0  1300.0       0.7    3   20  17   7  61   \n",
       "7285  61031.0  10/31/2006  2006.0  1400.0  0.599999    2   21  19   6  65   \n",
       "7287  61031.0  10/31/2006  2006.0  1600.0       0.9   12   47  35   7  46   \n",
       "7288  61031.0  10/31/2006  2006.0  1700.0       1.3   26   68  43   7  35   \n",
       "7289  61031.0  10/31/2006  2006.0  1800.0       1.5   14   57  43   9  27   \n",
       "7290  61031.0  10/31/2006  2006.0  1900.0       1.9   33   82  50   8  12   \n",
       "7291  61031.0  10/31/2006  2006.0  2000.0       2.1   59  113  54   8   7   \n",
       "7292  61031.0  10/31/2006  2006.0  2100.0       2.2  102  163  61   9   5   \n",
       "7293  61031.0  10/31/2006  2006.0  2200.0       1.8   48   95  47  10   6   \n",
       "7294  61031.0  10/31/2006  2006.0  2300.0       1.5   23   62  39   6   6   \n",
       "7295  61031.0  10/31/2006  2006.0  2400.0       1.4   21   59  38   5   7   \n",
       "\n",
       "     PM10      WSPD WDIR  TEMP RHUM GLOB NRAD PRES STWD RAIN  \n",
       "0      69         1  325  24.4   57    0  -29  758   20    0  \n",
       "1      44       1.1  330  23.8   60    0  -28  757   24    0  \n",
       "2      40       0.9  324  23.3   62    0  -27  757   24    0  \n",
       "3      36       1.1  317  22.8   63    0  -20  757   20    0  \n",
       "4      44       1.1  327  22.4   64    0  -25  757   24    0  \n",
       "5      42         1  322  22.4   64    0  -12  757   29    0  \n",
       "6      41       1.2  317  22.1   65    0  -10  758   20    0  \n",
       "7      37       1.6  322  22.1   65   35   16  758   24    0  \n",
       "8      33         2  343    23   62  104   72  759   24    0  \n",
       "9      38       1.8  344  24.7   57  257  285  759   29    0  \n",
       "10     38       0.9   12  26.5   52  316  305  759   59    0  \n",
       "11     30       1.1   12  27.3   51  313  297  759   54    0  \n",
       "12     22       1.3    5  27.8   49  348  303  758   54    0  \n",
       "13     16       0.9   30  28.2   49  261  212  758   63    0  \n",
       "14     17       0.9   52    28   50  207  161  757   59    0  \n",
       "16     44       0.9   18  28.1   50   96   65  757   63    0  \n",
       "17     30  0.799999   10  27.5   52   35    3  757   49    0  \n",
       "18     38       1.5  324  26.2   60    0  -29  757   29    0  \n",
       "19     40       1.3  323  25.6   63    0  -27  757   24    0  \n",
       "20     33       0.9  328  25.4   64    0  -28  758   20    0  \n",
       "21     30         1  316  25.1   64    0  -27  758   24    0  \n",
       "22     42  0.799999  320  24.7   66    0  -27  758   20    0  \n",
       "23     43         1  317  24.5   67    0  -26  758   24    0  \n",
       "24     44         1  322    24   69    0  -26  757   24    0  \n",
       "25     36       0.9  326  23.6   70    0  -26  757   20    0  \n",
       "26     40       1.2  317  23.2   71    0  -25  757   29    0  \n",
       "27     34       1.1  319    23   70    0  -18  756   24    0  \n",
       "28     38       1.2  320  23.1   68    0  -10  757   24    0  \n",
       "29     41       1.3  323  22.9   69    0  -10  757   24    0  \n",
       "30     40       1.5  327  22.7   70    3   -7  757   24    0  \n",
       "...   ...       ...  ...   ...  ...  ...  ...  ...  ...  ...  \n",
       "7263   87       1.5  341  32.4   47  206  134  759   49    0  \n",
       "7264   97       1.2   49  32.2   46   95   21  759   54    0  \n",
       "7265   79       0.7   79  31.5   49   13  -32  759   63    0  \n",
       "7266   87       0.4  103  30.7   53    1  -41  759   78    0  \n",
       "7267   84       0.4   72  30.2   55    0  -39  760   63    0  \n",
       "7268   86       0.5   88  29.9   56    1  -36  760   63    0  \n",
       "7269   83  0.799999   55  29.6   57    1  -37  761   54    0  \n",
       "7270   92  0.799999   39  28.9   61    1  -36  760   59    0  \n",
       "7271   94       0.9   34  28.3   65    1  -34  760   54    0  \n",
       "7272  100  0.799999   36  27.9   67    1  -34  760   54    0  \n",
       "7273   78  0.799999   35  27.4   69    0  -33  760   59    0  \n",
       "7274   59       0.7   16  27.1   70    0  -33  760   54    0  \n",
       "7275   65       1.2  349  26.7   71    1  -32  760   20    0  \n",
       "7278   96       1.2  346  26.4   72   22  -13  761   24    0  \n",
       "7279   83       1.4  349  27.1   69   92   45  761   29    0  \n",
       "7280  112       1.2  349  28.2   65  100   61  762   44    0  \n",
       "7281   92       1.6  333  28.9   62  225  250  762   39    0  \n",
       "7282   81       1.1  360  30.1   58  287  326  761   59    0  \n",
       "7283   68       1.4  355    31   53  326  331  761   54    0  \n",
       "7284   60       1.2    5  32.4   48  598  442  760   63    0  \n",
       "7285   39       1.4  350  33.2   46  507  370  759   49    0  \n",
       "7287   47       1.1   24  33.1   43  210  135  758   59    0  \n",
       "7288   76       0.9   34  32.4   45   81   19  759   59    0  \n",
       "7289   76       0.7   66  31.4   51   15  -27  759   63    0  \n",
       "7290   79       0.5   86  30.7   54    0  -38  759   73    0  \n",
       "7291   69  0.599999   90  30.3   54    0  -36  760   59    0  \n",
       "7292   74       0.5   93  30.1   55    0  -34  761   54    0  \n",
       "7293   81       0.9   66  29.6   58    0  -35  761   54    0  \n",
       "7294   82         1   34  28.9   62    0  -35  761   44    0  \n",
       "7295   86  0.799999   36  28.5   63    0  -36  761   54    0  \n",
       "\n",
       "[5696 rows x 20 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_drop"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "จำนวนข้อมูลที่เหลืออยู่หลังจากทำการ drop แถวที่มีค่าว่างไป จากนั้นทำการเช็ค type ของข้อมูล แล้วทำการแปลง row ที่จะใช้ค่าให้เปลี่ยนจาก object เป็น float64"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5696"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_drop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DATE      float64\n",
       "DATE.1     object\n",
       "YEAR      float64\n",
       "TIME      float64\n",
       "CO         object\n",
       "NO         object\n",
       "NOX        object\n",
       "NO2        object\n",
       "SO2        object\n",
       "O3         object\n",
       "PM10       object\n",
       "WSPD       object\n",
       "WDIR       object\n",
       "TEMP       object\n",
       "RHUM       object\n",
       "GLOB       object\n",
       "NRAD       object\n",
       "PRES       object\n",
       "STWD       object\n",
       "RAIN       object\n",
       "dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df1 = pd.DataFrame(df_drop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PM10    object\n",
       "WSPD    object\n",
       "WDIR    object\n",
       "RAIN    object\n",
       "RHUM    object\n",
       "TEMP    object\n",
       "NRAD    object\n",
       "PRES    object\n",
       "STWD    object\n",
       "CO      object\n",
       "NO      object\n",
       "NO2     object\n",
       "SO2     object\n",
       "O3      object\n",
       "dtype: object"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1[['PM10', 'WSPD', 'WDIR', 'RAIN', 'RHUM', 'TEMP', 'NRAD', 'PRES', 'STWD', 'CO', 'NO', 'NO2', 'SO2', 'O3']].dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DATE      float64\n",
       "DATE.1     object\n",
       "YEAR      float64\n",
       "TIME      float64\n",
       "CO        float64\n",
       "NO        float64\n",
       "NOX        object\n",
       "NO2       float64\n",
       "SO2       float64\n",
       "O3        float64\n",
       "PM10      float64\n",
       "WSPD      float64\n",
       "WDIR      float64\n",
       "TEMP      float64\n",
       "RHUM      float64\n",
       "GLOB       object\n",
       "NRAD      float64\n",
       "PRES      float64\n",
       "STWD      float64\n",
       "RAIN      float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1[['PM10', 'WSPD', 'WDIR', 'RAIN', 'RHUM', 'TEMP', 'NRAD', 'PRES', 'STWD', 'CO', 'NO', 'NO2', 'SO2', 'O3']] = df1[['PM10', 'WSPD', 'WDIR', 'RAIN', 'RHUM', 'TEMP', 'NRAD', 'PRES', 'STWD', 'CO', 'NO', 'NO2', 'SO2', 'O3']].apply(pd.np.float64)\n",
    "df1.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>TIME</th>\n",
       "      <th>CO</th>\n",
       "      <th>NO</th>\n",
       "      <th>NO2</th>\n",
       "      <th>SO2</th>\n",
       "      <th>O3</th>\n",
       "      <th>PM10</th>\n",
       "      <th>WSPD</th>\n",
       "      <th>WDIR</th>\n",
       "      <th>TEMP</th>\n",
       "      <th>RHUM</th>\n",
       "      <th>NRAD</th>\n",
       "      <th>PRES</th>\n",
       "      <th>STWD</th>\n",
       "      <th>RAIN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5696.000000</td>\n",
       "      <td>5696.0</td>\n",
       "      <td>5696.000000</td>\n",
       "      <td>5696.000000</td>\n",
       "      <td>5696.000000</td>\n",
       "      <td>5696.000000</td>\n",
       "      <td>5696.000000</td>\n",
       "      <td>5696.000000</td>\n",
       "      <td>5696.000000</td>\n",
       "      <td>5696.000000</td>\n",
       "      <td>5696.000000</td>\n",
       "      <td>5696.000000</td>\n",
       "      <td>5696.000000</td>\n",
       "      <td>5696.000000</td>\n",
       "      <td>5696.000000</td>\n",
       "      <td>5696.000000</td>\n",
       "      <td>5696.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>60587.772999</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1262.938904</td>\n",
       "      <td>0.998999</td>\n",
       "      <td>30.990607</td>\n",
       "      <td>27.416784</td>\n",
       "      <td>6.728406</td>\n",
       "      <td>12.191011</td>\n",
       "      <td>37.280372</td>\n",
       "      <td>0.915783</td>\n",
       "      <td>192.062149</td>\n",
       "      <td>28.115449</td>\n",
       "      <td>67.808989</td>\n",
       "      <td>74.689256</td>\n",
       "      <td>757.192065</td>\n",
       "      <td>83.335850</td>\n",
       "      <td>0.164677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>284.401507</td>\n",
       "      <td>0.0</td>\n",
       "      <td>701.795815</td>\n",
       "      <td>0.424468</td>\n",
       "      <td>25.199596</td>\n",
       "      <td>13.393554</td>\n",
       "      <td>3.825125</td>\n",
       "      <td>13.939177</td>\n",
       "      <td>17.912524</td>\n",
       "      <td>0.506875</td>\n",
       "      <td>83.824487</td>\n",
       "      <td>2.850359</td>\n",
       "      <td>12.934577</td>\n",
       "      <td>147.993824</td>\n",
       "      <td>1.784819</td>\n",
       "      <td>29.879478</td>\n",
       "      <td>1.547097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>60101.000000</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>18.400000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>-48.000000</td>\n",
       "      <td>752.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>60328.000000</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>600.000000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>0.599999</td>\n",
       "      <td>140.000000</td>\n",
       "      <td>26.200000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>-22.000000</td>\n",
       "      <td>756.000000</td>\n",
       "      <td>63.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>60609.000000</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1300.000000</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>0.799999</td>\n",
       "      <td>190.000000</td>\n",
       "      <td>28.100000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>-13.000000</td>\n",
       "      <td>757.000000</td>\n",
       "      <td>83.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>60824.000000</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1900.000000</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>257.000000</td>\n",
       "      <td>30.100000</td>\n",
       "      <td>76.000000</td>\n",
       "      <td>132.250000</td>\n",
       "      <td>758.000000</td>\n",
       "      <td>103.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>61031.000000</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>2400.000000</td>\n",
       "      <td>5.300000</td>\n",
       "      <td>217.000000</td>\n",
       "      <td>113.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>129.000000</td>\n",
       "      <td>154.000000</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>360.000000</td>\n",
       "      <td>36.700000</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>588.000000</td>\n",
       "      <td>763.000000</td>\n",
       "      <td>147.000000</td>\n",
       "      <td>41.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               DATE    YEAR         TIME           CO           NO  \\\n",
       "count   5696.000000  5696.0  5696.000000  5696.000000  5696.000000   \n",
       "mean   60587.772999  2006.0  1262.938904     0.998999    30.990607   \n",
       "std      284.401507     0.0   701.795815     0.424468    25.199596   \n",
       "min    60101.000000  2006.0   100.000000     0.000000     0.500000   \n",
       "25%    60328.000000  2006.0   600.000000     0.700000    14.000000   \n",
       "50%    60609.000000  2006.0  1300.000000     0.900000    23.000000   \n",
       "75%    60824.000000  2006.0  1900.000000     1.200000    39.000000   \n",
       "max    61031.000000  2006.0  2400.000000     5.300000   217.000000   \n",
       "\n",
       "               NO2          SO2           O3         PM10         WSPD  \\\n",
       "count  5696.000000  5696.000000  5696.000000  5696.000000  5696.000000   \n",
       "mean     27.416784     6.728406    12.191011    37.280372     0.915783   \n",
       "std      13.393554     3.825125    13.939177    17.912524     0.506875   \n",
       "min       0.000000     0.000000     0.000000     5.000000     0.000000   \n",
       "25%      18.000000     4.000000     4.000000    25.000000     0.599999   \n",
       "50%      24.000000     6.000000     6.000000    35.000000     0.799999   \n",
       "75%      33.000000     8.000000    16.000000    47.000000     1.200000   \n",
       "max     113.000000    29.000000   129.000000   154.000000     3.300000   \n",
       "\n",
       "              WDIR         TEMP         RHUM         NRAD         PRES  \\\n",
       "count  5696.000000  5696.000000  5696.000000  5696.000000  5696.000000   \n",
       "mean    192.062149    28.115449    67.808989    74.689256   757.192065   \n",
       "std      83.824487     2.850359    12.934577   147.993824     1.784819   \n",
       "min       1.000000    18.400000    24.000000   -48.000000   752.000000   \n",
       "25%     140.000000    26.200000    60.000000   -22.000000   756.000000   \n",
       "50%     190.000000    28.100000    69.000000   -13.000000   757.000000   \n",
       "75%     257.000000    30.100000    76.000000   132.250000   758.000000   \n",
       "max     360.000000    36.700000    95.000000   588.000000   763.000000   \n",
       "\n",
       "              STWD         RAIN  \n",
       "count  5696.000000  5696.000000  \n",
       "mean     83.335850     0.164677  \n",
       "std      29.879478     1.547097  \n",
       "min       0.000000     0.000000  \n",
       "25%      63.000000     0.000000  \n",
       "50%      83.000000     0.000000  \n",
       "75%     103.000000     0.000000  \n",
       "max     147.000000    41.500000  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Feature Selection by checking the relationship between data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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2hQcrMD8lEjm5OlRrRIQYBWSl6BAezF3ziIiIiLydIF5OT4NMCxcuRHFxMerq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\niIioCwbIRERERERd/H93VarRhP+CxAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x27db6264898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = df1['RAIN']\n",
    "y = df1['PM10']\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "plt.scatter(x, y, facecolor='mediumspringgreen', edgecolor='royalblue')\n",
    "ax.set_xlabel('Precipitation (mm)')\n",
    "plt.ylabel('PM10 μg/m3')\n",
    "ax.set_title('The relationship between rain and PM10')\n",
    "fig.tight_layout()\n",
    "plt.show()\n",
    "fig.savefig('The relationship between rain and PM10.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7qjZE+7wts6/+zrZy37NqGoLV10og0rfMRFoAAABA4whgwBJSDIeO\ndDiiwonfuY7ZnSFKLvD91muzt3mzrdy3rJyGYPW1Ynb6ViCQFgAAANCw5v1pHfj/zNx6bfY2b7aV\n+5aV0xCsvlbMTt8CAABAcGEHBizBzK3XZm/zPrW9snBDCdU2tpWfBSunWQRirZiZjmN2+pZk3XSj\nQGAuAQDA2SKAAcswc+u12du869qjTvbZi3OGe0yziHWGB7BXvmPmWjE7HcfsFBkrpxuZjbkEAAC+\nwKcGAC2Krdamzh92dUuz6PxhV9lqbQHuWfNjdjqO2SkyVk43MhtzCQAAfIEdGABalPJIp3ZfuEsd\nT6lksXvELlWsjA9015ods9NxzE7fsnK6kdmYSwAA4AsEMIBmoGjXCc3Jr1BFxF7FHQvXjAFxSu3I\ny/dMpBgOHY8+rh3/sc11zN+VOszM/a9rqyy8XAnVdr+2FYiqJ2amb1m9qouZmEsAAOALfAMCglzR\nrhOavnGPirKKXLnjuxelKlvtCWKcgay0GBXkprvl4o/KTVdWun/SEMzM/Tf7OgNmz6XZrD4+MzGX\nAADAF2yGYVim/tyePXsC3YUzwoUZ0ZiJSw7qk6w19X65vCjnfL08vnUAe9Z81e1ScKUh+HGXwuxV\nhzTvP1bXO3/Tlg7x+U4CM9uqY+ZcBoLVxyeZ99+gljCXLQGfWeAt1gq8xVqBJLVv396r+/HzLRDk\nyhyec8fLHeSOnykz0xDMzP0PxHUGzK7IY3YpTrPHZ2XMJQAAOFsEMIAgl+D0nDse7yR3vDkwM/ff\n6iViKcUJAADQsvGJDwhyMwbEKXVRqlvpyNRFqZoxIC7APYM3zCz9afUSsZTiBAAAaNnYgQEEudSO\noXqosp2yX4jU0ehqRR0J1/T0eEtdwNPstAAz2zOz9KfVS8QGIkXG7LVpZcwlAAA4W9b5BgRYVHF5\nrZ4vOaCvJ/+0bf753HR1L7fGtnmz0wICkYZgVu5/IErEmsnsUpykrPgOcwkAAHyBTw1AkLP6tnmz\nx2fl+TQzXSUQzB6fldeK2ZhLAADgC+zAAIKc1bfNmz0+K8/nqekqZeGGEqptfktXCQQz03GkwKwV\nq2IuAQCALxDAAIKc1bfNmz0+q89nXbqKVWuqm1mK0+y1YmXMJQAA8AVr/CwHWJjVt82bPT6rzyd8\nx+opOWZiLgEAgC80ugPj2LFjWrhwofbt26dLL71USUlJmjt3roqLi9WnTx9NnjxZMTF8+AD8yey0\nALO3epudFkAaArxl9loxW11qU1l4uRKq7X6vxnNvp2SF5ZyvModTCU6HZgyIs8xcAgAAczQawHjl\nlVd04sQJxcTE6C9/+Yt+/etfa9KkSaqpqdHChQv19ttv6+abbzarr0CLZWZaQCC2epuZFmB2e2yd\nb97MXptmCUT1n1k7irUi66f2juema3YsVUgAAID3Gv3U8O2332rKlCmaNGmSnE6nxowZo+7du6tX\nr1667bbblJ+fb1Y/AZiErd6+xXwiGFH9BwAANEeN7sA4fvy4HI6TvxJGRkYqISHBdVubNm105MgR\n//YOzZqZlSzMbi9QY2Ort28U7TqhOfkVbuNL7eifaxonx9s1JamNjr4wUEeiqxV9JFxT0uP9vjbN\nWCuntmfWa8FsVh1fS6j+AwAArKfRT+zx8fGqrKxUTEyM7r33XrfbSkpKFB0d7dfOofkKxPZks9qz\n8tjq2rPyVu+iXSc0feMeFWUVuca3e1GqstXeL0GMol0n9Icf9qpo8k/t/WFRqrJjfN+e1dem2aw8\nPqtX/wEAANbU6CewCRMmqLq6WpLUq1cvt9s2bdqkESNG+K9naNasvD3ZymMLRHtmm5NfoaLfFbmN\nr+h3RZqTX9Hs22Ot+JaVx2f16j8AAMCaGv35b8iQIQ3eNmzYMJ93Bv5l5lZoK29PDsTYon+MVscV\nnVUTXqOQ6hDtGrXdMu2Zrczh+fyVO/wzPjPbs/LrLhCsPL5TU8UqIqoVdyzcr6liVq/oAgAAzOH1\n/uXi4mLt2rVLx44dcztOIKN5MHsrtJW3J5s9tqhyhzp8ea42Xvcv17nr8W4vRZ6wRntmiz3q+fy1\nOuqf8SU4PbcX72z+a9PqaQFWHl8gUsWsWtEFAACYx6tPKYsXL9b06dP17rvv6pNPPnH9W7Zsmb/7\nBx8xeyu0lbcnmz22nVXHteXKTW7nbsuVm7Sz6rgl2jPbeZFh6vFuL7fz1+PdXjovMswv7c0YEKfU\nRalu7aUuStWMAXE+b8vKr7tAsPL4rJweAwAArMurHRi5ubn63//9X51zzjn+7g/8xOyt0GZXsjBz\ne7LZYzsU5fncHY7yz7kzuz3J3KogR+Od+rHPD+r95i/cUmSqNvjnosSpHUOVrfaakxOtcodT8X4c\n36mvg7JwQwnVNr9u07d6WoCVx7ff5lTYkTC1W95JMiTZpL2DfrREegwAALAurz5Bx8TEqE2bNv7u\nC/zI7K3QVt6ebPbY4hpIeYj1U8qD2e2ZXRUkxXDoSIcjKpz4neuY3Rmi5AL/pQWkdgzVyx1b++35\nT1X3OkhKSlJJSYlp7VmVVccXX+XQOZ931PZLtrled50/7Ko4P6Q2AQAA+IpX37b+67/+S88//7y2\nbdumkpISt39oHszeCm3l7clmj+3cqFB1/rCr27nr/GFXnRvlnx0KZrdndlUQK6cFAN4y7IYreCGd\nfN1tv2SbDLsR4J4BAAA0zKtvJCdOnFBBQYFWrVpV77Z33nnH552C75m9FToQV+83q8qK2WOriqtW\ncZ999VIejm2I91t7uy/cpY6nbC3fPWKXjq30T3tmVwVJjrdrSlIbHX1hoI5EVyv6SLimpMdbIi0A\n8FaFo9rj6+6QozpAPQIAADg9rwIYL730kv7zP/9TQ4cOVXh4uL/7BD8xcyt0IFJWzKqyEucM95xi\n4fTPayO+yqHk79q6VQXx51bvOGe4jkcf147/2OY65s/xmVmlQzqZsvKHH/aqaPJPKSt/WJSq7Bj/\npKwAwcjKFVYAAIB1efXNrra2VqNGjVJERITsdrvbP8ATK6es2GptHlMsbLU2n7clmb/V2+zxmVml\nQzI/ZQUIRqRSAQCA5sirnxsvu+wyLVmyRJdffrlsNv98iYG1WDllpTzS6THFosJPKRZmb/Uuj3Sq\n7LxS9Xmxn45HH1fYkTD9MGynKnb6Z3ypHUP1UGU7Zb8Q6UrpmJ4e77fdEGanrEjmpTcB3jK7Yk1L\nwOscAAD/8+obwtKlS1VeXq7FixcrJsb915m//vWvfukYmj+rpqykGA6PKRb+2npt9lbvqHKHkitT\ntOHm9a4Uix7v9lLkCf+l/zxfckBfT/4p/ef53HR1L/dPVRezU1bMTG8CmsLsijVWxuscAABzeBXA\nuP322/3dD+CsZKXFqCA33e3D46jcdGWl+347tJltBaK9nVXHteXGTW4pFluu3KRzXz3fL+01mP6z\nNMYvAbAZA+K0e1GqK43E3ykrZo8PgPl4nQMAYI5GAxgLFy5U//791bt3b1JHENSS4+26t1OywnLO\nV5nDqQSnQzMGxPnlly+zq1icOraKiGrFHQv329gk6VCU5xSLw1H+SbEwu6qL2SkrgajIY2VW36Zv\n5vjq2ioLL1dCtd1yc2kmXucAAJij0U/sDodDb731lvbu3as+ffqof//+6tevn1q1amVW/wCvFJfX\nataOYq3I+mmXwvHcdM2O9f32XbOrWJg5Nsn8FItAVKwxM2WFag++Y/Vt+maOz+pzaTZe5wAAmCPk\nkUceeaShG3v37q1Ro0ZpzJgxCgkJ0fr16/XGG2/o66+/VllZmSIiIpSQkGBidxt3+PDhQHfhjERF\nReno0aOB7kaz9td1h7Xw0rWuD49GqKGdXQ8ocnWKhnT07QfIe1eU6atrvnNrq6TnQRV/1Fq/6RXl\n07Ykc8cmSd2jwpX/eYRKeh6UEWq4UiweTW+jNnG+/2LTLTZMW1dGa2fXA672RuWm664+iYqO8P3O\nL7Pn0+zx1bHi+4rZ585sZo7P6nNptkC9zgPBiu8t8A/WCrzFWoEkrzdJePVzcXR0tIYMGaIhQ4bI\nMAxt27ZN+fn5evHFF1VaWqobbrhBQ4YMOasOA2fDzO27ZlexCESKRbbaa05OtModTsX//3Qcf6VY\nBKJiTfzGBJ37xXluVVb8NZ9mj8/KArFN38yUjv02p8KOhKndKRWO9g760S/jawkpD2aeO17nAACY\no8nfSGw2m7p166Zu3bppwoQJqqioIGKGgDNz+27sUc9ttTrqn18tIyrDPbbnqAz3S3vSySDGyx1b\n++35f87MijWh+x1KOdTWrcpKz7/1VkiV/351NnN8VhaIdCMz0yziqxw65/OO2n7JNld7nT/sqjg/\npG9ZPeUhECkyvM4BAPA/rwIY77zzjsfjYWFhSkxMVL9+/XzaKaCpzKzUcV5kmHq820tbrtzkVmb0\nvMgwn7clSbvLT6jzh13rfanZXX7CL+1Z3ZZjTm2+YaNbtYDNEzYq7vmBAe4ZTsfsijxmV5Yw7Ibr\ndV7X3vZLtsl4L9nnbZk9l2ajKggAANbkVQBj7969+uabb9StWze1bt1aBw8e1Pfff6+BAwdq3bp1\nevnllzVjxgwCGUHO7Kv3W3X77tF4p4rP268+L/bT8ajjCjt6MgWhame0z9uSpIpWThX33afeb/5C\nNeE1CqkO0a5R29XmsH/ak6xd6eFoTLXHrfNVMdV+a7No1wnNya9wq5Djr5ScD9dW6/nNFToWu1sR\nhxya0jNOl2T4b7eOVV/nkvlpFhUOz2vzkMP3a/PUuSwLN5RQbbNUykNLSJEBAKAl8uoTdG1tre68\n805dcMEFrmNr1qzRF198occff1yfffa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QSE2XCtwnzjuZoaNpnLjteMNYnrjtOIaOpknq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\nA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vDn/BhdM4JQlCb1hPse2wxbqKoehS00F+PtzYyh3leoLCTc144bp4+P24bAWc/J187J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\nGAAAAAAAoOT9DcVCf5+HSyunAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x27db67fdc18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = df1['WSPD']\n",
    "y = df1['PM10']\n",
    "fig, ax = plt.subplots(figsize=(15, 8))\n",
    "plt.scatter(x, y, facecolor='mediumspringgreen', edgecolor='royalblue')\n",
    "ax.set_xlabel('wind speed (m/s)')\n",
    "plt.ylabel('PM10 μg/m3')\n",
    "ax.set_title('The relationship between wind speed and PM10')\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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5N8doYPPmzRg4cCD73Wq1orS0FEajEUeOHMF9992H0tJSuN1uhMNh+Hw+1NfX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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x27db6ad1b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from math import radians\n",
    "ax = plt.subplot(111, polar=True)\n",
    "ax.scatter(x=[radians(x) for x in df1['WDIR'].values], y=df1['PM10'].values)\n",
    "ax.set_theta_zero_location('N')\n",
    "ax.set_theta_direction(-1)\n",
    "ax.set_title('The relationship between wind direction and PM10')\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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aZjOeFxA5+sxuZ7Zvpndm5ark/JLg8cmdlaszT2wW7aYBQJNGAAMA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\nfkxJVfYcTeHETa/X9HPiptex52iqof2YyjemjW4MnCxrMJVrpijwTj6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6q+L5qOoHE7dY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Tf+m1zaceOOAN461IV/3xuea/NfklHp46LABar9mv93PTre6UA5XkYgE8D4xnEl1Z6RqhR7bORi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Dln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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x27db6cbfa58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = df1['RHUM']\n",
    "y = df1['PM10']\n",
    "fig, ax = plt.subplots(figsize=(15, 8))\n",
    "plt.scatter(x, y, facecolor='mediumspringgreen', edgecolor='royalblue')\n",
    "ax.set_xlabel('RHUM')\n",
    "plt.ylabel('PM10 μg/m3')\n",
    "ax.set_title('The relationship between RHUM and PM10')\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CAAAAAbPKVI09Nqc7cdHI5WhQpc0Z8rYAAMxD8gIAAAABsdJUjTzDIbszziOB\nYXfGKddwhLQdAABzMW0EAAAAAbHSVI0JfdI0anGR7M44SccTF6MWF2lCn7SQtwUAYB4qLwAAABAQ\nK03VyM2wa3pRvkqWpKnS5lSu4dCEIlYbAYBIR/ICAAAAAbHaVI3cDLumDEsPy7EBAMFBChoAAAAB\nYaoGACDYqLwAAABAQJiqAQAINpIXAAAAPrLKcqBWxFQNAEAwkbwAAADwgZWWAwUAINZwpwUAAPCB\nlZYDBQAg1pC8AAAA8IGVlgMFACDWkLwAAADwQeNyoCcK53KgAADEEpIXAAAAPmA5UAAAwickD+yc\nPXu2SktL1bZtW82YMUOS9NJLL2nt2rWKj49XXl6ebr31VqWmpkqSFi5cqGXLlslut+v6669X//79\nQ9FMAABiEito+IblQAEACJ+QJC9GjhypCy64QE899ZR7W1FRka6++mrFxcXp73//uxYuXKjx48dr\n586dWrVqlR599FFVV1froYce0mOPPSa7nS8GAACYjRU0/MNyoAAAhEdIvpUUFhYqLc2zpLJfv36K\niztednn66aerqqpKkrR69WoNHTpUCQkJys3NVX5+vjZv3hyKZgIAEHNYQQMAAESCkFRenMqyZcs0\ndOhQSVJVVZV69Ojh/llWVpY7sXGypUuXaunSpZKkadOmKT4+XtnZ2cFvMCyDmMcm4h57iHnwVCfW\neF1BozrRCGufE/PYRNxjDzGPPcQ89pgV87AnL15//XXFxcXpnHPOkSQZhuHza4uLi1VcXOz+d319\nvfbt22d6G2Fd2dnZxDwGEffYQ8yDJ7POLrszziOBYXfGKbPOFtY+J+axibjHHmIee4h57Gku5h06\ndPDrfcI6mfX999/X2rVrdfvtt8tms0mS2rVrp/3797v3qaqqUlZWVriaCABAVGMFDQAAEAnCVnmx\nbt06vfHGG3rwwQflcPywPvqgQYP0+OOPa+zYsaqurtauXbvUvXv3cDUTAICoxgoaAAAgEoQkeTFr\n1ixVVFTo0KFDuuWWWzRu3DgtXLhQ9fX1euihhyRJPXr00E033aROnTppyJAhuuuuu2S32zVx4kRW\nGgEAIIhYQQMAAFhdSJIXd955Z5Nto0ePbnb/yy67TJdddlkwmwQAAAAAACIEJQ0AAAAAAMDSSF4A\nAAAAAABLI3kBAAAAAAAsjeQFAAAAAACwNJIXAAAAAADA0kheAAAAAAAASwvJUqkAAODUKmtcKimv\n1R6bU3m5IcrVAAAgAElEQVSGQxP6pCk3g78zAAAAkLwAAMACKmtcmlK2W8vHlsnlaJDdGaeyxUWa\nXpRPAgMAAMQ8vg0BAGABJeW17sSFJLkcDVo+tkwl5bVhbhkAAED4kbwAAMAC9tic7sRFI5ejQZU2\nZ5haBAAAYB0kLwAAsIA8wyG7M85jm90Zp1zDEaYWAQAAWAfJCwAALGBCnzSNWlzkTmDYnXEatbhI\nE/qkhbllAAAA4ccDOwEAsIDcDLumF+WrZEmaKm1O5RoOTShitRHELlbfAQCciOQFAAAWkZth15Rh\n6eFuBhB2rL4DADgZV38AAABYCqvvAABORuUFAEQ4SquB4ODcCh9W3wEAnIzkBQBEMEqrgeDg3Aqv\nxtV3TkxgsPoOAMQ27r4AEMEorQaCg3MrvFh9BwBwMiovACCCUVoNBAfnVnix+g4A4GQkLwAgglFa\nDQQH51b4sfoOAOBEpK8BIIJRWg0EB+cWAADWQuUFAEQwSquB4ODcAgDAWkheAECEo7QaCA7OLQAA\nrIM/HwAAAAAAAEsjeQEAAAAAACyNaSMAAABoVmWNSyXltdpjcyrPcGhCH579AQAIPZIXAAAA8Kqy\nxqUpZbu1fGyZXI4G2Z1xKltcpOlF+SQwAAAhxV0HAAAAXpWU17oTF5LkcjRo+dgylZTXhrllAIBY\nQ/ICAAAAXu2xOd2Ji0YuR4Mqbc4wtQgAEKtIXgAAAMCrPMMhuzPOY5vdGadcwxGmFgEAYhXJCwAA\nAHg1oU+aRi0ucicw7M44jVpcpAl90sLcMgBArOGBnQAAAPAqN8Ou6UX5KlmSpkqbU7mGQxOKWG0E\nABB6JC8AAADQrNwMu6YMSw93MwAAMY60OQAAAAAAsDQqLwAAQNSqrHGppLxWe2xO5RkOTejDlAcA\nACIRyQsAABCVKmtcmlK2W8vHlsnlaJDdGaeyxUWaXpRPAgMAgAjDnRsAAESlkvJad+JCklyOBi0f\nW6aS8towtwwAAPiL5AUAAIhKe2xOd+KikcvRoEqbM0wtAgAArUXyAgAARKU8wyG7M85jm90Zp1zD\nEaYWAQCA1iJ5AQAAotKEPmkatbjIncCwO+M0anGRJvRJC3PLAACAv3hgJxAkPOEeAMIrN8Ou6UX5\nKlmSpkqbU7mGQxOKuBYDABCJSF4AQcAT7gHAGnIz7JoyLD3czQAAAAHityggCHjCPQAAAACYh+QF\nEAQ84R4AAAAAzEPyAggCnnAPAAAAAOYheQEEAU+4BwAAAADz8MBOIAh4wr31sPoLEBycW4hVjH0A\nCC2SF0CQ8IR762D1FyA4OLcQqxj7ABB6XF0BRD1WfwGCg3MLsYqxDwChR+UFgKjH6i9AcMTiucVU\ngebFUt/E4tgHgHAjeQEg6jWu/nLiF01WfwECF2vnFlMFmhdrfRNrYx8ArCD67iYAcBJWfwGCI9bO\nLaYKNC/W+ibWxj4AWEFIKi9mz56t0tJStW3bVjNmzJAk1dbWaubMmdq7d69ycnI0adIkpaWlyTAM\nPf/88/rss8/kcDh06623qmvXrqFoJhBTYqm8l9VfwiuWxlqsiYRzy8zxF6tTBXzpw1D1jVWuJ5Ew\n9gEg2oQkeTFy5EhdcMEFeuqpp9zbFi1apL59++rSSy/VokWLtGjRIo0fP16fffaZdu/erccff1yb\nNm3SnDlz9Oc//zkUzQRiRqyV90qs/hIusTjWYo2Vzy2zx18sThXwtQ9D0TdWu55YeewDQDQKyZW+\nsLBQaWmeZXSrV6/WiBEjJEkjRozQ6tWrJUlr1qzR8OHDZbPZdPrpp+vw4cOqrq4ORTOBmBFr5b0I\nH8Yawsns8ReLUwV87cNQ9A3XEwCIbWF7YOeBAweUmZkpScrMzNTBgwclSVVVVcrOznbv165dO1VV\nVbn3PdHSpUu1dOlSSdK0adMUHx/v8VpEP2LeOtWJNV7Le6sTjYjoT+IeOcwaa8Q89pgRc7OvddnZ\n0nNZWfrLsnbabRxVvi1Jt4zMU/us6H3+ua99aFbftBT3SL93RZJdVfX6y7/2aLdxRPm2ZN1yZvDG\nOdf32EPMY49ZMbfc3dYwjCbbbDab132Li4tVXFzs/nd9fb327dsXtLbBerKzs4l5K2TW2b2W92bW\n2SKiP4l75DBrrBHz2GNGzINxrUuQ9JtBDkn/ng7hqlE0D01/+tCMvmkp7pF+74oU3qbnrA7i9Byu\n77GHmMee5mLeoUMHv94nbBOO27Zt654OUl1drfT043MG27Vr5/HB9u/f77XqAkDrxWLpM8KDsYZw\nYvwFzkp9aKW2RDOm5wCwqrBVXgwaNEgffPCBLr30Un3wwQcaPHiwe/vbb7+tYcOGadOmTUpJSSF5\nAZiMp6QjVBhrCKfcDLvu7ZyrhJLBqnY4lel0aPLAtoy/FnhbzcPXczjYK4HE4vUkHKurxOqqOgCs\nLyTJi1mzZqmiokKHDh3SLbfconHjxunSSy/VzJkztWzZMmVnZ+uuu+6SJA0YMEClpaW6/fbblZiY\nqFtvvTUUTQRiDk9JR6gw1hAulTUuTdtWqeUTfih/P7a4SNPTWe3Gm5ZW8zjVORyqlUBi6XoSrtVV\nYnFVHQCRwWZ4e8hEhKqrq2P+VIxhzlxsIu6xh5jHHjNiPn3lQT3201VNfgm7Y8nQmPkF2B+B9JdZ\nfc25/oNwjV9vSZNRPPMCJiLmscesZ15Y7oGdQGuFo7QSiHScN9bnLUaSiJsPKH/3TyD9RV+bL1x9\n6s/0HO4hAEKJ5AWiQrhKK4FIxnljfd5itG5BPxmJLn14yXridgqUv/snkP6ir80Xzj71ZXoO9xAA\nocaVBVGBJ2MD/uO8sT5vMdqacdCduGjcRty8Y3UK/wTSX/S1+azep9xDAIQalReICpSrAv7jvLE+\nbzGSzVDC4QS1X9ZZMiTZpF1nfUvcvIjF1SkCEUh/BaOvY31KgtXHL/cQAKFG8gJRgXJVwH+cN9bn\nLUZx38frtA8KtPXCLe5S7S5vdVNbJ3HzJpZWpzBDIP1lZl8zJeE4K49f7iEAQi12rv6IalYvrQSs\niPPG+rzFKHtvG3fiQvr3VJILt8iwR83iYQBTEiIA9xAAoUblBaKC1UsrASvivLE+bzHamePUp15K\ntQ866sLUSlhdc9MvrDwtI9qnJFi5733FPQRAqJG8QNSwcmklYFWcN9Z3coz+a/kBr6Xa6c7EcDQP\nFtfc9It7O+dq2rZKy07LiOYpCdE0JYZ7CIBQiqwrJAAAMc7msqnLW908SrW7vNVNNpctzC2DFTU3\n/WJG6QFLT8uI5ikJTIkBgNah8gIAgAhSk+zUznN2qOCE1UZ2jtihAysywt00WFBz0y+qHdaelhHN\nUxKifUoMAAQLyQvAT9EwTxVA5MozHDqWekzbfrrFvS1ayukjQcWOes0oPaBqh1OZTocmD2yrwgJz\nv06ZeZ9pbvpFptP60zKidUpCNE+JAYBgInkB+CGa5qkCiEwT+qSpbHGRx3Vo1OIiTSiK/HJ6q6vY\nUa9JG75TxYQKd9/vnF+omepgWgLD7PtMc+Nl8sC2OsY4CgvOYQBoHZIXgB+anae6JC0q/zoEwHqi\nuZze6maUHnAnLqTj94CKKyo0oyRVzxW0M+UYZt9nWhov09MZR+HAOQwArUPyAvBDLM5TZZqMtRAP\nSNFbTm91zT0nosZh3j0gGPeZ5sYL4yh86HsA8B/JC8APsTZPlWky1kI8gPBq7jkRGU7z7gGxdp8B\nAMBXfNsF/BDNS7d5w3Ju1kI8gPCaPLCtCucXetwDCucXavLAtqYdI9buMwAA+IrKC0C+l+LH2jzV\nWJwmY2XEAwivwoJ4zVQHzShJVY3DqYwgrDbS3H1m03cNuvXt/TqcWqfUw4maVJShYYUJph032jDF\nDgCiD8kLxDx/S/FjaZ4q5cvWQjyA8CssiDft4ZzNOfk+s7LimB7Y8Z2+vGmD+z71wGu99aA6kMDw\ngil2ABCduIIj5lGK3zzKl62FeACxaWZZjb4ct8HjPvXluA2aWVYT5pZZE/d1AIhOVF4g5lGK37xY\nmyZjdcQjclHCjkAcTq3zep/6PrUuTC2yNu7rkaHxulidWKPMOjvXRQCnRPICMY9S/JbF0jSZSEA8\nIg8l7AhU6uFEr/eplMOJYWyVdXFftz6uiwBag6sDYh6l+ACCiRJ2BGpSUYZ6vtbb4z7V87XemlSU\nEeaWWRP3devjugigNVqsvDh69KjmzZun3bt366KLLlJ2drZmzZqlyspK9e3bVzfddJPS0rgRILJR\nig8gmChht55Im8YzrDBBD6qDZj6Tou9T65QSI6uNtDZO3Netj+sigNZoMXnxt7/9TfX19UpLS9P/\n/M//6JJLLtENN9yghoYGzZs3T6+88opuvPHGULUVCBpK8QEECyXs1hKp5erDChM0rDAn3M0ImUDj\nxH3d2rguAmiNFq/+n332mW6++WbdcMMNcjqdGjNmjHr06KFevXrptttuU2lpaajaCQBARKKE3Voo\nV48MxCm6cV0E0BotVl4cO3ZMDsfxDGhycrIyMzPdP8vJydHhw4eD2zogRCKthDiS0dfmo0+994Gk\nsPSLt7aYXcJu9ZhbKR4ni4RydavHtzlmtjsS4hRrzIzviVN7qhMNZdbZmNoD4JRaTF5kZGSotrZW\naWlpuvfeez1+tm/fPqWmpga1cUAoRGoJcSSir81Hn3rvg3UL+slIdOnDS9aHtF9aiodZJexWj7mV\n4uGN1cvVrR7f5pjdbqvHKdYEY1w2Tu3Jzs7Wvn37TG4xgGjU4tVm3Lhxqqs7voZ4r169PH62ceNG\njRgxIngtA0KE0tTQoa/NR59674OtGQfdvyg3bgtFv4QiHlaPuZXi4Y3Vy9WtHt/mmN1uq8cp1kTq\nuAQQXVqsvBg6dGizPzv77LNNbwwQDpSmhg59bT761HsfyGaEpV+ai8e3R+s0feXBiCqnb22JeKji\nUbGjXjNKD6ja4VSm06HJA9uqsKDFrzWSAl+JIthTOvyJr5Wm55g9LlkxxFq41wCwglPf5f+tsrJS\nO3bs0NGjRz22k8RApKM0NXToa/PRp977QIYtLP3irS1Ju1O0ueGoFvx0TcSU0wdSIh6KeFTsqNek\nDd+pYkKFu3075xdqpjr4nMBozTSeUEzp8DW+VpueE4xxyYoh1sG9BoAV+HQnW7hwoSZNmqQFCxbo\nnXfecf/37rvvBrt9QNBRmho69LX56FPvfdClJl3D3+wb8n7x1pZ+bxZq3eVfRFQ5fSAl4qGIx4zS\nA6q4osKjfRVXVGhG6YFWvZ+vQlE672t8rTY9h2tRdCO+AKzAp8qLxYsX67//+7912mmnBbs9QMhR\nmho69LX56NNm+uDMf5fPL2nj0S+STJu+4WtbdmY59WmYyunNnPrha5v9iUdr+77a4b19NY7wTAsK\npHS+tavTWGm6lBS6a1EoVmKJ1NVegimc062IB4BGPiUv0tLSlJOTE+y2AGFDaWro0Nfmo0+b74MT\nt4VqFYeT2zJ95cGwlNObPfXDnzb7Eo9AZDq9ty/DGfppQYHEMpDVaaw0XapRsK9FoTiHI3W1l1AI\nx3Qr4gHgRD6d9f/xH/+hv/71r9qyZYv27dvn8R8AAJEgXE/LD1e5tdlTP6xUIj55YFsVzi/0aF/h\n/EJNHtg2qMc1u1+sPj3HaljNJzIF0qfEA8CJfKq8qK+vV1lZmVauXNnkZ6+++qrpjQJgbZRwwh9W\nGS/help+uKb2mD71w0LTkQoL4jVTHTSjJFU1Dqcy/FhtJBBmT9kJNEb3ds5VQslgjxVXstPtpk3P\n8eezhOL9QnEOs6qG+QLpU+IB4EQ+3eXnzJmjX/7ylxo2bJgSExOD3SYAFkYJJ/xhpfESzqflh2Nq\nT7CmflhFYUG8nitoF/LjmjllJ5AYVda4NG1bpZZP+OEYx3yccuIPs8/hcE5n8gWrapgvkD4lHgBO\n5NNdx+VyadSoUUpKSpLdbvf4D0BsoYQT/rDSeLH6VAizxdrntRJfx30gMQrVuWX2caw+nYnzxnyB\n9CnxAHAinyovLr74Yi1atEg///nPZbPZgt0mABZGCWfkCsf0DSuNF6tPhTBbNH3eSFthwtdxH0iM\ngnVundwPO+vNPU6opjO1Np7RdN5YRSB9SjwAnMin5MWSJUtUU1OjhQsXKi3NM9P59NNPB6VhAKyJ\nEs7IFK7pG1YbL1afCmG2aPi8kbjChD/jvrUxCsa55a0fBr84wNTjhGI6U6DxjIbzxmoC6VPiAaBR\n3NSpU6eeaqeuXbtqxIgROuecc3TWWWd5/GelJVQbGhr0/fffh7sZCKGUlBRiHmLd0xO0aUWqtnfb\nKyPecJdw/rZvllKTQlOZRdz99/TaQ5p30Rr3LwxGvKHt3fYqeVWehhYEL5Fg1ngh5rGnMeahGLtm\nHyMU18lgHMNbP+zvWKO+/+itPT33mXKcU7XbjHM9XNc7tA7X99hDzGNPczFv06aNX+/TYuXFvHnz\nNGDAAPXu3ZvpIgAkNf+Ee0o4vbNKuXskrLRhlVVJol2k9XMkrjARilL3YJxbe2xOJRxOUPtlnSVD\nkk3adda36h6XpBFLhpryWQLtGytf7wAAwdVi8sLhcOjll1/Wrl271LdvXw0YMED9+/f3O0MCIHo0\n+4T7dFYbOZmVyt2tvtKGlVYliWaR2M+RusJEKErdzT63Mo44dNoHBdp64Rb3vl3e6qZsJZr6WVrb\nN5FwvQMABE+L00Z69+6tUaNGacyYMYqLi9O6dev00ksv6dNPP1V1dbWSkpKUmZkZwua2jGkjsYey\ns9CzQjlupMTdSuXuVpju05JTfY5IibnVWeH89VVjzCN1CoZV+BPzD7cf1dKLyzz2PdC1Rmd8dZqG\nd0kKSXtbOtej5XoHT1zfYw8xjz0hmTbSKDU1VUOHDtXQoUNlGIa2bNmi0tJSPfvss6qqqtJ1112n\noUOH+nVgAJGJclzfWancvblSbUmavvJg2KcQMK5CIxj9HOxpKKGYqhboMczug3CsfCJJBxx1Xvc9\n6KgLahub09qVT2JxhYpImw4GAK3hU/LiRDabTd27d1f37t01btw4HThwgMwZEEMox/Wd1crdTy7V\nttIUAsZVaJjdz6GaGhXsqWqBHMPsPgjnyie+7huuKXH+rHwSSytUWOlaDgDB5NNqI6+++qrKy8ub\n/PfVV1/pwIED6tSpk5KSQlNO2BKmjcQeys5CzwrluJESd6uXu1tpCkEoViCA+WMymGMoUlYbMbt9\n4Vz5xNd9wxV3s1c+iRZWupa3Btf32EPMY09Ip43s2rVL//rXv9S9e3e1a9dO+/fv1+bNm3XGGWdo\n7dq1eu655zR58mT179/fr4MDiDzRXo7ra+mtL/tZbcWBk1lpqkYkjKtwrRwjybTj+jN9aN9Bl2aU\nHvCYRlFY4Pm1wUpTo/zR2ukIgbYvkJUyvj1a59MUL2/H8PXc8nV8BNJfgfTD0fzvTV35JFpY6Vru\nj8ZxUJ1Yo8w6O1NdAJyST8kLl8ulO++8U2eeeaZ72+rVq/XRRx/pT3/6k95//329/PLLJC+AGBGt\n5bi+lt76U6JrlRUHvGnrTPRagp3uTDSzeT6z8rgKV5n8ugX9ZCS69OEl6007ri/Th0pfK9J+1ati\nQoV72875hZqpDh4JDKtNjfJFoNMRWtu+QFbKSNqdos0NR7Xgp2tafW3y9dzyZXwE0l+BrhjSMcnc\nlU+iQSROu2OqC4DW8Onq8Pnnn2vQoEEe28444wytW7dOkjR8+HDt2bPH/NYBQAiVlNe6v0hJx/9y\ntXxsmUrKa1u1n9XZXDZ1eaub7M44SXIvi2hzxW75dXNCEXNvx9iacdCduAjlcbdnHVLFuAqPbRVX\nVGhG6QGP107ok6ZRi4s8xtCoxUXuihEzmH0Mb5/380sq1H/Bj1t1DF/b5+sY8vZ+/d4s1LrLvwjL\ntcns/gqkH8weW9EiEvsqWu6jAELLp8qL/Px8vfPOO7rgggvc29555x3l5eVJkg4ePCiHw7rZXSDY\neMp3dPC19DbQsm6rqEl2auc5O1SwrLNkSLJJO0fs0IEVGeFuWtC09lwNtCy7tWXyshmmTkmQpIod\n9R7TQZLSG3w+bo0j9Ks6+HOMcExH8LV9/qwMdPLKJ0ltm8bIn2tTINMHmuuvzvXJyj1pdRbp1KsX\nBdIPZq8yI0XH/TsSpt2dLFKnugAIL5+SFzfffLNmzJihN954Q1lZWaqqqpLdbtfkyZMlSd99952u\nvPLKoDYUsCpKH6OHr6W3gZR1W0me4dCx1GPa9tMt7m1WLzUORCDnaiBl2YGUycuwmToloWJHvSZt\n+M5jOkjf5/r5fNwMZ3hWdfDlGOGcjuBL+/yZXnLyyie+TtMIxvSB5q532+KPaN1VX7jbePTNvrLV\n2fXB5Z+3qv996YdgrDITLfdvK0+78yYSp7oACD+fVhvJzMzU+eefr+7du6ugoEAjRozQ+PHj1a5d\nO0lSTk6OunbtGuy2nhKrjcQeKzytONKf8h2JghV3X5+0722/ga8VqfTqsogaB1ZYOcZXZsQ8kHM1\nFKu6eDtG/9If6Uebc7WjuzmrP9y7vFqfXP25x34HOh1Qrzd7aV+vH1ZwKFpToLTydtrXa797W+H8\nQj1YlKOctqH5pc7fmAfSz6EY94Gs5OHrKhvB+Gy+Xu92dN8r47sUVffe797Wmv6PlFVmEJhIuv/A\nfFb4/o7QCulqI5IUHx+vwsJC97/r6+s1e/Zs3XrrrX4d8GSLFy/WsmXLZLPZ1KlTJ916662qqanR\nrFmzVFtbqy5duug3v/mN4uN9bioQUpQ+Rg9fS2+97bczy6lPI2wcRGKpcSACOVdDsaqL12Oc+e/V\nRpa0MWVKQrXD+xSAVGe87jhxysRP/r3aSEmqahxOZTSz2oiVBNTPIRj3gUwv8XVaSzA+mz/XO9mM\nJtta2/+RupINfHPiOKhONJRZZ4vq+w8Ac/j0LeTXv/51k211dXVKSwvsQUBVVVVasmSJZs6cqcTE\nRD366KNatWqVSktLddFFF2nYsGF65plntGzZMp133nkBHQsIFkofA2elOcfeSm+ba9+J+01feTAi\nx0EoSo2tEl9/zlVfYh6M4zZ3DLOmJGQ6ve+XoaZTJnIz7HquoF3LH85CAu3nQMapr68NZHqJr9Na\n/Bmn/n7mxtREtsv7SkUyPP9i7u84P1Gg56t06iWGuX+HV+M4yM7O1r59+/x6rVXuKwBCy6fkxW9+\n8xuPf9fW1uq9997TwIEDA26Ay+VSXV2d4uLiVFdXp4yMDJWXl+uOO+6QJI0cOVLz588neQHLmtAn\nTWWLizzmzI5aXKQJRdZ9yreVWH3Osa/tYxx4Z6X4+hojs9scirHh6zEmD2yrnfMLVXHFD8+8KJxf\n6H7YYiS7sFOK3vXy2S7snXLK1wYS80gcL/6029t+Ixb00/A3+3os4Tv838+82PHvZECg7Q7kfP3M\nx+dvcN2OTFa6rwAILZ+eeZGTk+PxX8eOHTV48GDNmjVLY8eObfXBk5OTZbfbNW3aNL311lvq1KmT\nRo0apRUrVuiiiy6SJBmGoXfffVfnn3/+Kd+PZ17EHivMmUtNsmlY21Qlr8pTty/zNWZTF/22bxY3\nUB+1Zs5xKOPua/sYB96ZNafcjJj7GiOz58GHYmz4eoyctnadkZiqyrfbKbs8R31KC/RgUY4lp4P4\nG/MXv6jVO8PL1fHjTsrYlKW22zK0Y9gOZVTknDJugcQ8EseLP+32tt+OnpX6aUV3DdvWyd3Ge4ra\n6fyOaQG3uzHugZyvvj5/g+u2NQTr+TawLit8f0dohfyZFydzOp1KTk5u7cslHa/gWL16tZ566iml\npKTo0Ucf1bp163x+/dKlS7V06VJJ0rRp0xQfH6/s7OyA2gTr2VVVr7/8a492G0eUb0vWLWfmqX3W\n8aFrlZhnZ0vTuueGuxlh1VKcWlKdWON1znF1otFsbEMZd3/a5+s4aG1fBUOw2+JP/4XiXPclRq0Z\nk2YcN1DejuGtT3t0lvpXNmi3Ead8W7J6dM5Wtsnj7/Ovj+rB93eqKvGIsuqS9cDI09Sva5Jf7+Fv\nzKsTa3Q0/3uP1XOObz913AKJeXVijVK/TVXB8i5qSGxQXF2cdoza6vN48Rajwu7xQR8vvn7m5vY7\nkGCokyNJCYZLDptDmVlZap8VeLtPjHsg56u352/4et220jXaG6u3z1+tOdfNvkZHokgeB1b5/o7Q\nMSvmPo3wV1991ePfx44d09q1a3Xaaad5/Mzf5VLXr1+v3Nxcpacfn/d41lln6csvv9T333+vhoYG\nxcXFqaqqSllZWV5fX1xcrOLiYve/6+vr/Z4zB2vzVhq4+oTSwNbMk4T5ThWnlmTW2b3OOc6sszUb\n21DGvTXta0kgfWW2ULQludb7kpvJtfLoPyud62bHPFy89eknXsrpzY65eznW8T9M39g+v1Azazr4\nVeHhb8wDiVsgr43fa1fH6k7aMP6HZUNPX9BL8fWnfm04rwe+fmZv+yXtTtGGo4f0ytiPTW+3v3Fv\n7hrj7fkbJ193vLHSNToS29caoTzXo0WkjwO+v8ee5mLeoUMHv97Hp9G9f/9+j/8OHjyoHj16KDk5\n2WO7v7Kzs7Vp0yY5nU4ZhqH169frtNNOU58+ffTJJ59Ikt5//30NGjTI7/dGdCgpr3VfmKXjmfXl\nY8tUUl4b5pbhRIHEaUKfNI1aXHT8y6b0w5zjPtaYc2x2+6w0pkPRFpvLpi5vdfPovy5vdZPN5fmL\nhZX6xepj0lfe+vTDS9Zra8bBoPbzjNID7udONB6j4ooKzSg9YNoxvAkkboG8dvuRY/rq8o0en/er\nyzdq+5Fjp3xtOMe9r5/Z23793izUusu/sMT56u0a0/X/eih5T/IprzveWOla5I3V2xcK0XKNDgTj\nALHKpz+BBLocanN69Oihn/zkJ7rnnnsUFxenzp07q7i4WAMHDtSsWbM0b948denSRaNHjw7K8WF9\ngbEO/+oAACAASURBVC5jxtOoQyNcS1CGgtnts9LSfM21ZWe9U9NXHjTlvKlJdmrnOTtUsKzz8aUK\nbNLOETt0YEWGT20JR79YfUz6qrk+9WU5y0B4W47V5WhQjaPpMSp21GtG6QFVO5zKbGE5Vl+u5YHE\nrbnXSjrluXAwxfvnPZTS9POe/Dl21juVcDhB7U84P3ad9W1Ixn04l4Y2897s7RrzzehtOm15wSmv\nO95Y6VrkTTjbZ5XvVNFyjQ6E1ccpECxhnxg1btw4jRs3zmNbXl6eHn744TC1CFYSyDJmPI06dAJd\nbi4Uy3UGwsz2WWlpvubasqPKpf+9bpUp502e4dCx1GMezyHw9nmt1C+S9cekL5rrU1+Xs2ytZpdj\ndXoewz29ZMIP00t2zi/UTHlOL/HnWh5I3E5+ra/H9fXzenu/Qc8M1GkfFGjrhVvc27q81U1JhxJb\n9Rn85Wt/mbk0tNn35uauMQ1Jribb0p2n7lerXYtOFq72We07VTRcowNh9XEKBAu/wcHSAikNpKQu\ndCjh9J2V+spbW/ov+LE+v6TCtPMmkNJ0xlBgvPXp8Df7qktNelD7efLAtiqcX+hxDG/Lsfo6vSRc\n13Jfj+vr5/X2fvs6HnAnLhq3bb1wi775vj6ony1QVro3e72OvfZjJRxMaNW0Eatfi8LVPr5TWYvV\nxykQLGGvvABaEkhpICV1oRPOEk6rlLH6ykrlrt7a8m1cnUrzPZeyCrQcvLWl6aHqF1+nLkQar33a\n//gX25IlQ4PWz4UF8ZqpDppRkqoah1MZzfSpr9NLwnUt9/W4zX3e7HS7x5STb4/WNX2/pAavxzjo\nZcqJlVjp3uz1OpZQpzfO+7JV00asdI32Jlzti6bvVJH2vcEbq49TIFgi/9sZol5rSwMpqQutcJRw\nWq2M1VdWKncNVTl4a0rTQ8HXqQuRqrk+DXY/FxbE67mCdi3u4+t0i3Bdy/057smf19u50H/Bj5W0\nO0VHT0wOGt5Xyji5D6zISvdmb9cxX6ar+fp+VhOO9kXLd6pI/d7gjdXHKRAMpzxLd+7cqblz5+qR\nRx7Rgw8+qEceeURz587Vzp07Q9E+oNUoqYt+lLGaz0rl4KEQrpUx4Pt0i3Bdy80+F9Zd/oX6ven5\neX9U1UaFr526D6JJKOLJ/d980dKnkXifAvCDFv+s9NFHH2nOnDkaNGiQevfurZSUFB05ckTbtm3T\nH/7wB914440aOnRoqNoK+CWQp8cjMoSqjDUaSkx9ZaVy8FDwZ2UMBMbbeTSz96mnl4SrPDoY50JB\nll1DT5yy85M07TvoOmUfRJNgxLO109UigVXuP4HGzSrT84Jxn7JKjIBY0OJV45VXXtG9996rXr16\nNfnZxo0b9cQTT5C8gKW19unxiAyhKGONxTFjpXLwYPN16gIC09J59NylLU8vkcJXHm32uXBavKPJ\n++Vm2E85xSbamBnPQKerWZnV7j+tjZuVpueZfZ+yWoyAaNfiWXXw4EF17drV68+6dOmigwcPBqVR\nQLBQLhhdQlHGypjxXSSWFfs6dQGBibXzKBLPhUgVzWMrWj6blabnmX1uRkuMgEjRYrqzqKhIs2fP\n1lVXXaX8/Hz39t27d+u1115TUVFR0BsImCkSy9rRvFCUk/szZkJROmrl8tRIXHXG15UxrNTmYBwj\nkLb4Ug7e3Hn07dG6JtP4pOO/EFQn1iizzu5XWwL5HGb2VW6GXfd2zlVCyWCPfjG77618PWjkrY2S\nTGt3NF+jo+U7i5Wm55l9n4qWGAGRosVvZ7/+9a81Z84c3XXXXYqLi1NKSoq+//57uVwunXnmmfr1\nr38dqnYCpojEsna0LNjl5G2diV7HTLoz0WO/UJSORkJ5aiSuOuPLyhhms9J4CaQtvpaDe7v2Ju1O\n0eaGo1rw0zXu165b0E9GoksfXrLe77YE8jnM7qvKGpembavU8gk/7HdscZGmp5vX95FwPfDWxs/e\n7CtbnV0fXP65Ke329b5upXPOV9HyncVq0/PMvE9FS4yASBE3derUqc39MDExUT/5yU80duxYDR48\nWIMHD9Z5552n8ePHa9iwYUpMTGzupWHR0NCg77///tQ7Imo0JtR81T09QZtWpGp7t70y4g13ueBv\n+2YpNckWxJbCTP7GPRArvq7T/q2JOtC1xj1murzVTd3r0zS86w9fTp5ee0jzLlrj/gJjxBva3m2v\nklflaWiBOV9iQnEMq2op5pHYL1YaL4G05d7l1frk6s89Xruv535Vvt1OP+uV4t7P27V34GtFKr26\nzOO1+iZVZT/9slVtCeRzmN1Xoej7SBj33tq4o/teGd+lqLr3fve2E9sdrPu6lc45sz+b1fVISVTp\nB0na13O/+3MUzi/Ug0U5ymlrD+k93WzREqNQi+SYo3Wai3mbNm38eh+f6mIdDoc6d+7s1xsDVhTO\nsnY0L9hlxVLrn3Rek+zUznN2qGBZZ8mQZJN2jtihAysyPPYLxRPMd9ZTnupNJJbthqLNvh4jkLZU\nO5xKOJyg9iecH7vO+rZJObi3aRTJKUaT48rWdJuvUwC+PVrX6s8RaF/trHd6TH/x9VwNpO8jYdw3\n10bZjCbbWjvNw9f7upXOOcm3e1K0fGcJ5/S8YIuWGAGRotVXjfr6et1555168sknzWwPEHThemo9\nvPNWZhtI6bg3gTzpPM9w6FjqMW376Rb3Nm8loaF4gvngFwdQnupFJJbthqLNvh4jkLa0PeTQaR8U\naOuFW9zjtMtb3ZR+qGnJ/snTKPov+LGSdqfoaP4Jf4kxbK2eAuDt/Xz9HIH21Y4ql/73ulV+n6uB\n9H0kjPvmpt3Zj8Z57BfoNA9f7utWOuf8uSdFy3eWcEzPC5VoiREQCVqdFjQMQ3v37jWzLQBikLcn\ndW/NOOhOXDRuC+Tp3YE86dzXJ5OH4gnmn19Sof4LfswKBieJxJUdQtHmUIzd0zLi3YkL6d/n74Vb\ndFqG5y9g3sbzusu/UL83PVd66VKTruFv9j1lW3x9P18/RyB91X/Bj/X5JRWtOlcD6ftIGPc2l01d\n3urmGeO3uinnu7atinEg9wErnXNWWn0DACJJi39yvPLKK0PVDgAx6v+z9+bRUV13uuhX8ySVShMI\nAQIBGqo0IIOd+JqOiX397MTxfAHTHTdOTAfHfisr7XaSdbNuP8dO566b9a4dXnJXYpuEuGM7NyDJ\nGGMbJ1y3ieMhHgmjBgQWCAkEktBYpZrr/WFq2Of8jmpXnVODpPOtlZWVnXPO/u3f/u19DqXv2x9F\ns02FOs4DOSed81JCU6GO8lChqbx4KzxYpTNj/RvXzRo3j2wgFWcHOVBS3pQNqrFUHwBEDh/p1u6k\niZZqTJpYFxEpSUdViRbXJdbzF67k9I1CjBojKPZrUpIAVFp1uDlNhw+eGqJyOqDz41AFq+P1Vniw\nPGjBgjSet6W5AMMTYfzwz6NpSQqo+U2lrpRc61KyuzVvNbPznhB31GVGaZlcLtecsI98ct9QoUKF\nitmEGX+8KCgowEMPPYQlS5aI/r9gMIhHH300Y4GpUKFifoCi2fJSx3kh96RzXkooz3W8VGgp+vFi\ns3HWuXlkIz4eZwe5fSjtmpANqrGwj5nmMp3alZJHCGUULW20pKMsTNfz99bZUVZWhuHhYTIWKfeS\nsxovDm85PmMdzDiXW44krSFhTp98b4KM5Yx+Goc3zxwL9Tw5kgK5azUTbhmU7G6J3pQ07kzI5HKx\n5ijkm/uGChUqVMwWzPgmWrFiBSYnJ1FRUSH6z8KFC7MVowoVKuYwKJotL3WcF4+uKYKrjaWTu9pc\neHRNkTKDSAG8VOh8ooQrTd9WGtmIj+rjL3ccQ69jIm/zQkFOrnilTJSM4vDG41i1r1YkH9CE0zuN\nn1ofq/e5cHjD8aRjU3ou5cRCQY6kQO5ayJVUY77J5PLpnaRChQoVswkzMi+2bNkCnU5H/n8Gg0E9\nrFOFChWyQdJsE6jjStB7UznpPNPyCN7T6PPpBPN8czUQntJvtoe440t3fuW6JuQLlHa3oKRMlIwi\nbArBs9Atkg8MHyjmkjhQ8yZcH/0lPnzIMTal55Jaq1KxCF1JqPHKkRRc1PhgG7Ch6mA1QsYQdH4d\n+m7olRyHHMcWJd0yUpHJAfJkMelCyXeDXPcNObHkkwQwGktUKpTK+s8H1p8KFSqyjxl3yaVLl854\nc3l5uaLBqFChYn5CimarJL2X56TzbMgjUjnxPl9OMM8nVwOKUt+0c3XaDhW88yuVA0RY5kC+uT0I\nIeX+YPcZk97LK2WiZBRanw5hfYSRD5gHrTgV8qL9q5/MOB+8UhepfnkdPuTMJY+UhJLTUOMtcNPx\n2dzJY9FdMmLxX5ei8764XKW2vR5aj3h+5Ti2KO2WIVWXpVqDorKYdJGJftN135ATSz5JAHljyaeY\nVahQkXvMuOo7OjqS/keFChUq5gqyIT/IJzkIL/IpZopS331PFxp2N2TUvYDKwfX7mlA9Zs+LvPBC\nyv2BR74hx5GDypUcmYccqVU25pLXlYQah8aHz39wSLi3tr0ePISenmk/Tm7oYvo4uaELPdN+0bVy\nHFuUdsvgrctcSdjySTqntPQr38eRTzGrUKEi95iRefHEE0/AbrdDr5e+7Omnn1Y8KBUqlEK+UQ3z\nLR4ezMaY00UqlPp085IJOUim5yifJCwUpd5b4YHNp8d3BfRyoWOD1Yi0JRNkDlqi8qbs09p551x4\n3TD86F8vdn8Yf8eRtM9UnHco544yu5bJlZS0YsDrZ1wneKUMSscnZy6pPqxGkHIa4TgmS3wY+E/n\n4HyxkZF+ON5dmbRfTwGdq+kC8Y8XUvudyAEmC24ZUq4kwrrMxh5NIRP9Ki1h44klFVlQpsE7jlzN\nuQoVKvITM/54sXbtWpw6dQpr167F+vXrUVNTk624VKiQjXyjGuZbPDyYjTHLAa88Qm5elJSDZGuO\n8kXCInlKP4xJHRvqW12wdzswUTfG3MsjmQD45E3ZmA85dOuW9kZo/FqR+0O68gip+Ej3Fw6ZByUl\n4ZUyKB2fXHq+sA/ecRT7THAvduPE1iPMdTxOFDY3Lb+wusU1LrXfCZ1AKCjtllHkM5KuJMK1ySt7\nyoRripLvhkxI2HhiSWUtZRq848jWe1mFChWzAzOu5h/84Af42c9+hiVLluC5557DP//zP2PPnj2S\n1mUqVOQT8o1qmG/x8GA2xiwHck7Gz3fq7VwB7yn9FK29a1MHqg+sSksywYtcOZ/w0q15ZQHZiI/X\npUPpmLNBV5eTezlOFI80O1DX6mTurWt14pFmMbNGjhxMabcMXtlIruQlSr8blJaw8caSjfXPCzky\nr3x/L6tQoSJzSHqscUFBAb7yla/gK1/5Cs6fP48//vGP+M53voPHH38cdXV12YhRhYq0kG8OCfkW\nDw9mY8ypgKKYUnRynpPxs5UXOTTgbFBqqT4AcLXxxMJ7Sv+oyQeD24BFCTT0C18cgL/Il5ZkghfZ\nqA25dGtKFgAoJ3WR46gjJSXhkTIAfDUuFV9UrqIExV6OJMNVpcdjU4uwfYcFbpsfNrcRjzQ7uJwo\n1rkMeAKV2L7DCo/ND+uVe9e5DKJr5cjB5LplCJ1KrEag/+bkspFMyEt4IMc1JRNSCDmx8K6lTCMx\np6PGCIr9GkmZl5K5V6FCxewG11smEongyJEjePvtt3H8+HF86UtfwsKFCzMdmwoVspBPDgn5GA8P\nZmPMvKAopofbVyNiDOMvW46xdHI7SzvNVV7k0IBzJWeI5fSOeE7/tq8JGr8Wb284klYsPKf0F02a\nsOTtKvTeejrWR/X+ldBN6XFmS3qSCR5kozbk0q2FsoBcUewBsczjJwfHyXvLwkYuOQjPOKj45MpV\neHPAI8m4NBbGs8ND+HBbfBzPvtaMmjG++VjnMmCdi88NTo4cLF23DClJl2nInFTOtDBiIuUl6UoN\nUgFPrrIphUg3Fp4azBaiOS0rK5uR1a1k7lWoUDG7MeNbsK+vDy+88AIefvhhvP7661i7di1++ctf\n4uGHH4bDodxfqlSoyATyySEhH+PhwWyMmRcUxbTXMRH7R3a0TY6rQTZi5qUB50rOQOX0L3ccQ69j\nIqOxLHHoYz9cxGK59TSsYX1G5y0btZHvdGs5OZDjhpJPchU5OZjr9HcpSVfNgRrFajpXe3Q+rc25\n/P6mMN/Gq0LFfMWMzIvvf//7qKysxE033YTi4mL4/X68++67zDU33nhjRgNUoSJdpEKJzQadPp8c\nG3ghdSp/PsfMC4piCk0kbbp7Nlwm5NCA5VJq06XjS+UUmkjasfDAK+G6sNihRUkG6zkbayYVVw05\ndOtT4z5s2DXESBco+UG6tHYKYxYfLjUNipw2hj8qFq0tgJUe9Qf55SrCOTIXhWRJbISxSOWA5958\ncoSIQsl3pJRTic4exHffuC4tCQEgzmsu3rfZWpu8DknUXgTwvacy7ZqiNGbjN5YKFSpSx4w/Xjid\nTmg0Ghw/flzyGvXHCxX5DN6T57N1QnW+ODbwQvJUfvvsP72bopgiokmb7p6NOpJDA5ZDqZVDx5fK\nKSLsX9KVpvdSrgTmQSvOwovDW45nrJ6ztWZ495J06dbmQStOYRrd2+LU/h+1OvEEKpkfMOTQ2ik4\npk1YcKQCnffF52jFqzU45fGj/e64pIOSHl3971eRtUY5UQjn6Jrf0ffySGwoaRSVA95788kRQipu\nOXublFNJid+UloRA6RqUi0yvzVT2bWGd+2ao1XTcUPLN4WO2fWOpUKEidegef/zxx6X+zy9/+ctJ\n/5NPCIVC8Hg8yS9UMWdgtVplz/nTn05i19c+iX0cRPQRnF05BMv7C3Fd1fzWSuZrbpSY91V2A3re\nseHsyiFE9JHP/9FwaBmWnVqAvlXxthtea8b3m0pgM89MW89GrqiYeeOTcy/v2Hhzev2+JhS7zeir\nu8QdS6pz/s5nfoz0GjG+YizWR12rC8f+4XhG5yhf18xMoObN9b+b0LHlGDOOy/UjOLe/BJsabbF7\nlR7vX8568ebtR5nnja0chfGSFaPOkVhb36ohRM6zbSNLxrDi9RqM1l2OjaN6/0qsChbg+hXxWKiY\nRxaPoel1Jy7WDc9Yk9S9OGfD0a92J80B770X64axprUZFxovprxWMwGl57jGasSht80YrhuJ11ub\nC080l6O8SJvyWp+Na44XSu/bcmpVznXJoMQ7XcXsgjrn8w9Sc15YWJjSc2ZkXvh8Prz00ks4d+4c\nqqurcffdd8NgEFNGVcxf5AtdUA7UE6qlMZdzQ1JMv3CFwv1GYcq002zkSg4tVs69vO4MJFWbymlL\ntI2l4w9PhPHDP48yFOcyuxbPn5jCqHEMxX4tN3V5SO/DpdWs/GC6dDon0pl8WzNCp4dH1xSJ6OUX\nJMbhsfmZNrmuCcL8jZtoyQQlMxK2eSs8CJoDaTlReCs8WB60YEEaTkPQREhnG8phwjZgQ9XB6lhN\n+s1+8t5MO8KkglTWP6+sYLszfacS3vj6g76c5IvXcSkX+zavNDITrikqVKhQoQRmfFPs3LkTp0+f\nxlVXXYUPP/wQU1NTeOCBB7IVm4o8R77RBdOFekK1NOZ6bqQopunQTrOVKzm02HTv5XVnmImqnayN\nciDob3WhFHq8syl16vI1v14jkh+4fteUE+lMPq0ZKs8DLzbCUaDBewkuO84/NJDSBcskK8FQwjWB\nJ3+UzIhqC5nDaTlRmAetOKOfxuHNM0uKqHt1Hj3pbFPkY/u1jpmw+K9LmZp0vtCAqjeX4/SdPcy9\n5UETvrc+u7I0KaS6/nllBTvvSt2phAIlEdP6dDg7EsZL33g/q/mixivXXUnJfVtKxieUVintmqJC\nhQoVSmHGXfPw4cP413/9V9x333344Q9/iE8//TRbcamYBZgrJ6KrJ1RLQ80NP+ZyrnjdGeSsf8qB\noGNTB86WTCbtg9qLhirHRW4jp+44iZa2xrTmSI6TRT7VAZXnyQo33ruLdYTp/PsTWLWvlhlH9f6V\nqClk/5GjtGsC9bzr9zWhesyeVhuv0wNvPVP3lg0Vks42ES3LDDk7HcDJDV3Mde5FntgPFzPdm8v3\nrZx8ZSNuyqGmpr0eR+/syHq+qPFmw12JAjVvJRcLseLVGtG6Frr55LuriwoVKuYvkspGiouLAQBl\nZWWqNmmOIl3px1yhCypxQrXS8pl8kePMhtO71VxlHtTY+kt8+FDB9S/lQMDjSkLuRWaxe4S3woNV\nejPWJ3FmAcR1xesAIbcOMl3PVJ6lqOSehW6RBCMskGCk4prAI61IfF7MdYKSGUm0DU+EYeJwVxDK\nZCzW9J2G+svptTBhYiU2E1b+3AvvzYR0g7euUln/wniy4ZxCOdT4bD6GNTRTv5SMSmkJS6bdlShQ\n8zZg9eOVGzuTSqt4XZOy9d7Ll/e8ChUqco8Zd+dQKMQ4jYTDYZHzSGNjY2YiU5EVyKGiziW6oBwq\nvtJ03nyT4+Tz6d1qrrIH4diefG9C0fUv5UBASQN4KM5S9OjFZmNaDkSpOECkWwfZqGcqz1K5Cusj\nIgmGMPcA33gd0yYuaUXi84SuE8mkR5S7gpeg7MccPrak5/CR7lqwe5Sl8Ssh3UjlB4xkY6biaWmj\n80rVUbqwjBvTloiRcrU2F7ajMq0fMFKRPWXjW4mat4AtkFRalYprUqbfe/n2nlehQkVuMeOqLyoq\nwtNPPx37T0FBAfO/n3nmmWzFqSJDkEPpVOmCn0NpWuxckeNkA2qucgel1/+ja4rganMxz6vf1QDD\nhCEtinP1mB3X72tSTCJyeMNxrN7nyuh+l416pvJcOGjDur1srlpaG7lyz4uINsIlrZADXsp+r2Mi\nZhUZbZMzv7xrYZnFgNr2euY62wUrVr6SHo0/l9IN3ngObzxOyo/SrSMK5zxBUiLWsKsh6ZyQcrWN\nHXjq0HhasfDKnnL1raS0zCsbyKdYVKhQkXvM+LPyL3/5y2zFoSJHkCP9mMs0+VSgtHxmrshxsgE1\nV7mD0uvfVaXHdrAOBBZLBPtvOclFcc6GcwzlAKHkfpeNeqbyHHN1ScjVgMGPV27uTpp7Xki5iAjl\nEXLAS9mXkmqkO7+8a8Hj8GGg6Rwjb/Bb/Oi76UxaNc4r3cpEXaUSDyU/SreOKIwTchxvhQc2vx7f\nTTKfUnK1MVN6uSFrQcJdKZ/ljfn0bs2nWFSoUJF7pCfqUzFnIFf6MZdp8ryQyqHdZ0zLpm0uyXEy\nDalcFU2bcmKRpzTyXeer9Pp3VemxsyruQCBFcabmN4rEf6ZS8VH6dgBM2xIjXVdL9KaM7ndS9Wwe\nN2Lr3pG0NPlUDZXZtXCWG3BRE8bCiAFl9nhNRfNXBiM0frbWNH6t4vuaaSr9sfH2IaTsS0k1ysKf\nSxnS4YLwrIWFERPci904sfVIrG3566vIGpfKczpylVTfKdQaiVoWpxMPJT9S8n1W7DPBPGhFxd8W\nxX4gGbzqAhxILhGTkqvZPfQew7MfD0+E0TkUwKgpgBGfFsMTYbiq9LKkqcJ+hyfCaZ/TwVur+fId\nkk+xqFChIvfQPf7444/nOgilEAqF1ENFU8QquwE979hwduUQIvpIjEL4/aYS2MzK0TozBavVmvM5\np3J4/b4mjASC2H3nJzja0I+PqgfQ844N64psSfM62+ckG4jOO5Wr9e2rMWTwofW2T1POfT4hqvPd\n9bXUa2iugHd+u9624kCfJ+l6i+rbP/iHI+hfex6fNV7AoYNmHDjvxgf/eDjW5usshPPwYvS5LmV1\nDVLj/VJrM3o002zMb5ux1mhDedHMPxpQNdT9fwrwx6FJJn9Um+VYMSyfOXDqth6MOkcwUTWButfq\n4JmOoPWejxXZ19btbcJnHh+T+8Sxpbq/S+3FxW4z+uric9lyaBmWnVqAvlXK7Nly4lv91+WwdZdg\nuG4k1uZqc3Hl2QEdDr1tFt37nZUlTG2k8k6h1sjfDlhxcGQKbbfPvKfy5j/ZWkp13g1TenQdN+Cz\n207FanXVq7XYWlGKmkrdjPfWWI3iHLa6YDRG0HrXJ8rsMZzrlQK1hjv/ZMPLQ+OK9UEh298hM825\n+k00N5EP3+8qsgupOS8sLEzpOZpIJKKc4DTH8Pv9zOFeKvgQ/VU/RiHMs7/uzgThgW65gjCHPi/w\nzN3vi/5S8N03ruP668tsnpNsIHHehbny+iN49s6/pp37fMGT703g519Nv4bmCqLzG3WekJrfqjer\nceZrp5g2Ya627h3BgS0fc937n5+7Bo0VhqyvQWE9nxgM4M1vimO++flrsPOu0hmeRNfQ8tdXoe+m\n3rTaePPMPbaBAN78J+mxpbO/U3sngKRtcvfsdOPz+iN47vpDItZAxaeVSfP85HsTePraT0X3PvTB\nWlHMvO8Uao1I1QKVG978z7SWUp13qXXNs0aAONMkKqNabNLjuXuV3WN4YxGCdw3L6UMK2fwOSTbn\n6jfR3EO+fL+ryB6k5ryysjKl56iyERWq9EMBCHP4/feHZGk01Tnhh9K5lwMlZR5zXefLmyuh84TU\n/GqDGix/Y+WMNpyp2LFOWn343rr0/iEgh+YtrOd73jjPrcnnsXeFJgLbgA1VB6sZW0mhjak2qOHO\nFa9dJ/fY8PnzRo1jKPZrJSn7Um0ALf1IbBNS+y0WPqtUKfDWM9Wvt8LDyCoAcFsER4xhdozGsOR8\n8LxTRk3iWtB5tdy5keonk++zVM6toOZJKFeT2mN45kTuGRrC+PqD/Pa66Z7TIYV8+g7Jp1hUqFCR\nW6g/XqhQkQGoGs3cIVe5V9rObS7XUCYsmq0Xbei4P259SdlwpmLH6iAsPNMd2yd7mzA2FcGJLXEr\nR147RqmYhfHx2rsaLpuw+K9LGVvJul0uVP2pGqfvORlrk7KaFOaK166Td2zmQSvcpmDsr81anw5/\nm8nu9I5jKV93qLUZIwgy9pj1uxu4rVKF4K1nypazfhfdr9bLyh2oWCj72RWv1uCUx4/2u1OfV9Pv\nGQAAIABJREFUDwAomhQ/s6a9Pu3cZANy1giVGzl2p7yxUKDiu+Z3V4meJ3VmS7p7lgoVKlTMJqic\nKxUqMgDVRjZ3yFXulbZzm8s1pLRFc0tbI07dcZJ5HmXDSdmEuna7UDhoY9vaXLGDPJUY23t3HcNk\nhZtp47VjJGMm4uO1d7VftuHkhi7muu7NHQjYA0zbqTtOoqWtkbmXsnzktevkHVvdnnqcuPcE8zxe\nu1Pe686WTKJjE2uP2XXvCThfdqa13njrmbLl7Np8grQSdfQnt9ak7Gc/u70HlxdOpr0PLXHoRc/s\n2dCFpr2ZtQmWAzlrhMqNHLtT3lgoUPEduaMDLe3sOlx2uRCu1vT6UKFChYrZDpV5oUIFlHd1UG1k\nc4dc5V5pmcdcriGlLZoH9H4cqmAPgQqbxDacUjahAPDU8xaRdWg6rhq8dp2J8oiZ+pCKWcjYkOq3\n0vq5Fj4qVxmx88XnrfBgld6M9Yn2ji2fy19MCc8zF4XSnktXlR6PTS3C9h0WuG1+2NxGlNmBIxzx\nSVHnea6TuldvijC5itZGMteJ/qBPJMXpu6GXW1IwXTrN2Kf23dCLkn471jy9Ft5CH8yTJmyuKxLV\nhpT9LI+8IQrhu29S4pmLDHp8ccfa2Dw92Owgc8O7P/G+c6nrALFc6LGlbB090uzgXiP9QZ9oHJTd\nac/5ELyCHKS7XilQ8XkrPFilE6zDa6/I0Ai743x22cp39ywVKlTMDqg/XqiY91Ca7h+FqtHMHXKR\n+0zIPOZqDSlt0cxrGQmI7VijSGzLhKyFklsI5RFSfUjFnKxf86AVZzVeHE6Qq1z17BpuSnyp1sDk\n+dJYGD89cwkHt8xMa09FbvHs8BA+3JYgdWkTS12o+KSo86JxeHXctPugT4MDD3wci8VLyFAoacrV\nv7gai32sFKe2vR6hSSMTi5SkwDJiYSRPq9rqMFXkQ/e9cXnJz1qdKOqoxDqXIXavHHlDNP/COl/7\nnHg+7d0OnDK60XVfPJ5/e7ERjkEN3rvrWMprhHd9UdfNJA36cFs8lmdfa0bNGJ8cpO9yGC/dL16H\nibXf0RfEj89dQMe2eA5+3ObC9gKx9ItnvVKQim+xWWz5usChVWzPygbyPT4VKlTMHqg7hop5D6Xp\n/irmJ+ayzENpKJ0rpZ+ntKxl3d4mkTSFkkcoLTOiJB0TJW7UttezsexywTBhEEkXNGH2H8G8tHY5\ncovDG4+LZBQrXq1BycVCNr4xO67f15SU2l9+vgjV+1cybYYJA+p3NTBt9bsb0Hl3Z1IZCtXmN4RF\nUpyTG7rQ42WZP5SkoP4PDSLJk7/YH/vhItrWvakT24+OJZ1zXnmDVP6P3dWBGkF9VB9YhS6BzGay\nwh374SLaxlu/vOuLuo5XGsQrB2lpb8SROzqS3ktJfnilX7yQs4/l+3dMvsenQoWK2QOVeaFi3mOu\nuzpkAkrTP1OlECe6EOTLX22kZB5A+tTqXCHT9F6lJTFKPy+VPYHK1X9dvgAGgfxgdCqC7TtMMcp5\nSWmElEfIkRkJ+7VYxfKIQIkPg/VDjEzBZ/Ph3M1nUJXgMNG/vg/DB4qZ2qXcS0haO2fupfLsWehm\nYjl34xl87dUWLCAkHebnzUxbmV2L5xNi6a/w4fD6PuZ5fbf04tb9q1H1/DUx2r3FEkEHIT2iJBjC\ntoCdllr4TQHR2t/uZCUFlyN+hmUCQFLW4rGxP4aQdU9Iex5dI5acSOXfW+FB0Bxg8uUv4ne8oCQY\nwr6TyTei+zvltBE2haDzahlnIV43FFJypqMlZ0q7iPBAzj6Wre+YdN8NUvGdHQ9g694RjJsvoMhr\n5JbYqJAPVcajYrZC3SFUzHvMZVeHTEBp+qccCnG+0U6FcobZELMQ2YpZaUmMks/j3RNmpLVvidPa\nfQStXY7cggIl6aDcRhDRwL3YjRNbj8Salr++CgFbgLHrpFxEpCQdQnkJL6TyHNZHRLGc0U/j8Oa4\nLMNL5DlA0P2ffG9CNDatT4flBUZ875b4dT85OE7GQrl+CGUZhgkjKdkJWUKkLGjnXXG6/9a9I9yy\nFotAhgLQe46wDgKvNeNJu3j9SuU/ZA4z+Wr4zWruGKUkGOnIN6g1Yh60Qu81oPe2uBtKbZuTrEvT\nVPJ88UrO7B465kKPst8J6e5j2fiOUVpOZ+92oEvrRleC+w6vC5MKeZiN3yYqVEShVqiKeQ+V7p8a\nlKZ/yqEQ5zvtVI15doJ3T5BDa5cjt6DA6zZCyS2oNkpyQkk6KHkJL3hlD1QsVJ55pQJUnjVhjUhe\nUr1/JcrPFyWNz64D6lpZp5LaPfXo+vvksiBKSmIbKMCKV2tEsdQUiv8xLkQq65dX4qQLaOEUxFg4\naMO6vWzN8EoweOUb1BppfsWFHqFEZ2MnWZf9Y8Gk+eKtj2UWg0huVdtej2UWg+iZuUA2vmOUltPV\nHKgRyZGUluKooKG+51XMZqg/baqY98imq0M2aHqZlnRIUXnTpafy0l2zRYvt6AviqUPjDOU63b8C\nzUZJ0myMWWlQEgyKes/rLEJR7KXkFgCfzIh3XVaVaHFdYh9f+Nw1wZfgmvBQswPFBRpGgiHlIiKU\ndPSv78PQW460pFFSeY5KP0aNERT7Negv8eFDjjxLSQV45nLM4kP/l/pEY3P+sYlx2Xj4Sq4YWcZ1\nRfhrdxAv/8oKv90H44QJxTZaViGMj3KnsFgj2H9jlyiW8DuOpDlNZf2S7741USeLBPedL0QdeSiX\nnnjNWCwRLgkGr3yDWiP9pT58xFmX5a/ZkuaL9/3vcfgw0HRO5AozfUzcB69DCtWmtHQOUE62qLRL\n1Hv2qYxLceQi36UVSst4eKWR+ZQDFfMP6o8XKlQgO64O2aDpZUPSoTTdnZfumg1abEdfEI90nkeH\nQjTW2ShJmo0xKw1e6j2v24MUxV7oIiBHQiW1LpfoTUldE/7txUY4CjR4b0uCrOW39PMQ0ogkGH1D\nYbz0QHLXFO48X5F+lJWVYXh4WJLaz+OqwTuXRT4jKS85NxbCsW1xacqPW10ohR7vJDxvurUZIwii\n4+F4Tut3NZBSBrtPzJ4QulNISV141mCRTyxhkeoXoN99QieLKEh3izSdZ3jlG8I1InWdUGqk9eng\n8KXnXkRhYcQkkltpfTosOJqClIxwSIkyspT4Hsi0bFFpl6jjLwWyIsVJF/kurciEKxaPNDKfcqBi\nfkKtPBUqsoRs0PSyIelQmu7OS3fNBi1W6RPlZ6MkaTbGrDR41xFJf29tFDl3GCYMaGlNvmbkSKh4\n1yVV45RzxHD5JCmjsJ23idqGyyfT2nPk5JnXVYO3D0o2UtNej+57WIlCx6YOnC1hx3u2ZBIdAvp7\n1+YTaUts5KxBKflLutIeKSj9bpDzHqCkLq42V4wdogSyISXL9+8Bpd8N+S7FyXdphdIyHjn7pwoV\n2YTKvFChIkvIBh1f6T6kTqNP112AAi9tN/G6KJ1caXmP0ifKZ0uSpCStczbGrDSSuSHM5CxiNQKv\n39Itcre488DqpGsmFQmVwW3AooQ+LnxxAMuDFpEjh7APqsYpWUvIGsSFawdEVPzF7ywl2xLdHy58\ncYBrz+Edr5SrBgDGWUROTinZSNAcQMQYFo2NRxYUNoUwXTotkhmMH0su/UhlDQrX0TD86F8vlr+M\nc0hOUoHUu2Gp2wJTgszmwebP+00mXeDd37mlLlfkR0pJJnjnRI6UTO73QKYlnkq/G1KR4uQC+S6h\nVFrGI2f/VKEim1B/vFChIkvIBh1f6T6kniek8soFr2wnel2UTq40in30eHnpxxQyLUnKBK1zNsas\nJMxTNPX+7KUwXtoal0fEqN8JcouW9kZo/FoRhZ1nzfCuX8u4EUverkLvrXHHhZV7atGrncaRLXFH\nDkoeQbkmULIWRDSkdIGi51sv2tBxfzwH1ftXoohjzaSyX0nVpFI5XRgxica7sr1OlOfq/SuBEJ8s\nyDJiSSsvM403EdQ6kqo/pWVfUu4RPRY3uu4XSJIGNTFmz0xrnXd/55G65GpflCslk+M2lGmJJ6C8\nqxOPFCdXyHcJpdIynkz0oUJFJpD7r0QVKuYJskHHV7qP+SYhoE7+V5p+rDRmI60z32PuHwuS1PuR\nBaxcgKJ+Uw4fSlPnz3mCsX9QR/sN2AM4sul40pxSVG3rRQtW72bp/pQDCSXVaGlrxKk7TrJ5ufU0\nIlrBX5pljFcO5MgRSi8VivLce+tplF4qZK5bdrkQrlZ2zut3NaSdF17wOsxkYs/mdY+gJEnZWOu5\n2mN4JU7U+lLabUhpiafSyPfvCzW+/M+BivmJnDMv3G43nnnmGZw7dw4ajQYPPfQQKisrsX37dgwN\nDaG8vByPPPIICgrUhaIEeKna+Uzpnq3IxmngStM6s+nEkg9wVenx2NQibN9hidGeH2l2KO45L2cd\nDk+EGTcUqxGkhICX1pmLtZ4tKmq6Yxsv9JHU+0UfLGYvlKB+LyrS4OYk8g2p+HicMcatYtmIzqvl\nqgMpqvZXP3LiywJXkuGJMONAkugEEnOJ0ItdIsKmEM6PBbFh1xCzjmoqdVzj7TkfwsN/HIGnYADW\nKel7eXPKu+8KYzGX0o4ryxZosS4xV9d+7uCSuG+U2YEOIi/DWr+oXyA91wmpdVReoGEcUnilGzPl\nkGJJCPM1UsgnSUplrfM6d8ihuystu5vJQSfZ+uKtaWEOKImIXIlnpp3LEtdmpqSgcpDv3z/ZiC/f\nc6BifiLnP14899xzaGlpwaOPPopgMAifz4eXX34ZTU1NuOuuu7B3717s3bsX9913X65DnfWQc5J9\nPlG6ZzMyfRo41YdcZMOJJV9waSyMZ4eH8OG2+Hw8+1ozasay7whDXffJ3iaMTUVwIkEa4HyhEVVv\nLsfpO3tSpqfnaq1ng4oqZ2zFPrGEIBXq94XxCD6+/+MZ5RtUfJQMhbq3cNwkkjPUtjlR9adqnL7n\n5Ix1IEXVppxPZnICiYJyfyj9pBwnLVPovr8zdu+PdrtQekaP9zcTLgxb4i4M089dhUs2L7q3Jdzb\n6kR5jxHv/uORtN9dyfZdKve8Di7UviF1b9/lMF66n5AepeE6IbWORA4pbS6UnTbiL18/nLSPVPYn\nYX1ctWMNKT9Kd63zOndQ8fG6rmTCoYtn3fC64PDmQKre0pV4ZsO5LHFtZkoKKhf5/v2TjfjyPQcq\n5h9y+i9Rj8eDzs5O3HjjjQAAvV4Pm82Gjz/+GOvXrwcArF+/Hh9//HEuw5wzkHOSfT5RuucS1Fzn\nF/LJEYa67r27jmGyws20uRe5Yz9cRNt46en5RK1WmooqZ2yUfKh+VwOXi0hLeyOO3NGR1vzyOhBE\ndBDJGU5u7ETAHkhaB0qfMk89b9m7y9G9qZO5t/veDvSXsbIbyoVhLBAR37upEyMIpZVTObnnpd3z\nUvap2pDjOkHlvmF3g9ghZWMHhsJBrj7k5LDn5h7UC+QzhYM2rNubnjyC17mD1z2Gcl3JhkOX0rVK\n5UBpiUiu8qJChQoVyZBT5sWlS5dgt9vxq1/9CmfPnsWKFSvwjW98A+Pj4yguLgYAFBcXY2Jigrz/\nzTffxJtvvgkA+OlPfwq9Xo+ysrKsxT/bMGocY/8igs9fIKPGCJM33uvyAbN9zkeNYyTVOx9znU/I\n1Lxno/al+rioCeN/feLDYGQaFRoLBjU0ZZ3b6aAAopgvXA7imY8uJu2Dd7zC5337CwuxqET8WqGu\n2/nlEjzzVikGI15UaMz49pfpe6NInHOefqXyfCkUYfJM3Xt9GfBbhwNPvGjHZaMXJX4zrLYI9t18\niHARWYtFL16Ly8ZplPgtsNoipIyCZ5+VpNgLYp6y+cnrdF6tyBlj3CQe7/9oseOJF62xmH/05SVw\nrTBz5U84jrIy4H9o2ef1mz1ctUu1BQoC5L0hjrxI1bNwbV0KhbllN6tQyMwvb668FR44zYW4+a0b\nYjV+zjyNEwL3Ep1XS8Y84A1j274xpt8FDr2o7oVzORzykg4pVP5GjREEtA7mmZdCYToed4SJx2am\n5WqN2iJUv3htbN3E4n6rLOlaj67riziNhTCT80S5vVC1MG4I49LqQbHby98WiGo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8h7+wYjeOlb8X2HWl+xWt2SIFPidCAClJUjUjmgHH6o9TCT1CXZXFL3UlIt3pymIrFZXmDE925R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7hqTgGHXBqlqJFacgZMNzXxBPxpfl9Jy9RFHNcIZs6Pxc5o+krzw/g4JSt0AM8XUEkJ6w4auf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GtMukuZx8MJjZLdpct4FaYn1M/XCgoKCgoJQ3Y3eoqWLStxoKjyFQ1VaL+1PS4tNtV04VSD\narf21Sq0390qUKtT6eCQ6t3jZeNH0cbb725F7avju2s91W4wK4i9K+LLZJJButPL9SDrGDQRDiuy\n/Ut1rVJIdT5lJViya9tAnhtlnLSnrLEC8xyWlPVvIhy1kqm/dBrHZGG6jVdhekIxLxQUFBQUEoYe\nPZWn95K0bB2JAyDSsp+Yc4F673EF4HRbMcNmRHN5n9DuWN1GZOUlyWLYNSW2DUHikO/HX4g+Uw4O\nsjvK8+d1+gLkrv9j3T1elm6tRxufl2/EdRLtyo6XjzPlTiMrW9KDTF/03BUoV5d0kkHqzYcLbiVx\n3DKsqXVY0evfWB0lkpnrqabjJyLBklnbgnl+dFWcE+RR3gOulPVvIhy19ByrAFHGI7s+JbO+U3M9\nnaXMU9kJTUFhGOrjhYKCgoJCwtCjp1L03rHSsodlKB+sicpQZCUOieweLyMvSQa6dPpK1gngP97q\nJ/vMO2PIUthJR5NXajHnzfn45IvtjDSlMGTD4zeOTZ4nQ7dOZtd62fHKutPIypaS6QvlrpCIXGWy\noDsfakXpAh+HRKQLyWCsjhLJzHW9+pVxrZEdh55kgq9Lqi/QDHDPdqPpwX3stfvHHvvJctRKxu2K\nRzI5T9TZJl0wlZ3QFBQAJRtRUFBQUBgDUk3vlZWhyEoc0mn3eFk6vezO7rJ9ps7rnTk48uFi+Fiq\npSkUktm1Xna8eu40pVtZOj3l4JJq+cBkyVWSRTK1lWrpwkT0WTb+E+G6ILtmUX1JpqanMlLtTpNu\n81VBYTpCMS8UFBQUFBJGqum9sjKUiE10spCmH0/S7vF6rik8nV52Z3fZPlPn6UkmKGlKKpHMrvWy\n49WLc8jJOmWc+NxR0ikjlfIBSiaTrFxlIpBMbaVaujARfZaN/0S4LsiuWVRfkqnpqYxUu9Ok23xV\nUJiOUB8vFBQUFBTGhFTSexORoVA73ifSP5l2U7mbup5rSo5flLrI7Owu22fqvGQkE8kgmV3rZcer\nF2dj0BjXKSORcVxqsU8EyY4v1dKF8e5zIjU4Ea4LsmsW1Zex1vRUxni406TTfFVQmI6Y3p9kFRQU\nFBTSAqmWoSTTbqrboFxTqjZV4bH67DH1JZnzZJ1eUo2JcInQi3Oh0Tzhu++nU+wTwaU4vlTPm2Ta\nmAikU1/SHVMl5woKClEYNE0bX6HrBCIQCKC7u3uyu6EwgRj2BleYXlB5n5oY3tl9hPZ88SXxxaYh\nnLdqyA0YxsWdgWp3vNxG+mx+5Fzc8b5qrkh+lO1LMucBGPfxUkg0zrHzXPZaKs4FWcaUjvdSjH0i\nmOzxjWV9T/W8SaaNiUA69SUVGM9n+lTJ+VSDeo+bftDLeXFxcUL3UR8vFC5pqMVvekLlffpB5Xz6\nQeV8ekLlffpB5Xz6QeV8+iFVHy/U50MFBQUFBQUFBQUFBQUFBYW0hvp4oaCgoKCgoKCgoKCgoKCg\nkNZQHy8UFBQUFBQUFBQUFBQUFBTSGurjhYKCgoKCgoKCgoKCgoKCQlpDfbxQUFBQUFBQUFBQUFBQ\nUFBIa6iPFwoKCgoKCgoKCgoKCgoKCmkN9fFCQUFBQUFBQUFBQUFBQUEhrWGe7A6Mhr179+LnP/85\nIpEIPvvZz2L58uWT3SUFBQUFBQUFBQUFBQUFBYUJRtoyLyKRCNavX49//ud/xtq1a7Fr1y50dHRM\ndrcUFBQUFBQUFBQUFBQUFBQmGGn78eLw4cMoKirCzJkzYTabce2112L37t2T3S0FBQUFBQUFBQUF\nBQUFBYUJRtrKRnp7e5Gfnz/y7/z8fLS3tzPnvPHGG3jjjTcAAD/4wQ9gNptRUFAwof1UmFyonE9P\nqLxPP6icTz+onE9PqLxPP6icTz+onE8/pCrnafvxQtM04ZjBYGD+fcstt+CWW24Z+XcoFEJ3d/e4\n900hfVBQUKByPg2h8j79oHI+/aByPj2h8j79oHI+/aByPv2gl/Pi4uKE7pO2spH8/Hz09PSM/Lun\npwe5ubmT2CMFBQUFBQUFBQUFBQUFBYXJQNp+vCgpKcHp06dx9uxZhEIhvPfee1i6dOlkd0tBQUFB\nQUFBQUFBQUFBQWGCkbayEZPJhK9+9av4/ve/j0gkgptuuglz5syZ7G4pKCgoKCgoKCgoKCgoKChM\nMNL24wUA1NfXo76+frK7oaCgoKCgoKCgoKCgoKCgMIlIW9mIgoKCgoKCgoKCgoKCgoKCAqA+Xigo\nKCgoKCgoKCgoKCgoKKQ5DBrlSaqgoKCgoKCgoKCgoKCgoKCQJphSzItvf/vbk90FhQmGyvn0hMr7\n9IPK+fSDyvn0hMr79IPK+fSDyvn0Q6pyPqU+XigoKCgoKCgoKCgoKCgoKEw9qI8XCgoKCgoKCgoK\nCgoKCgoKaQ3Tv/7rv/7rZHcilVi4cOFkd0FhgqFyPj2h8j79oHI+/aByPj2h8j79oHI+/aByPv2Q\nipyrDTsVFBQUFBQUFBQUFBQUFBTSGko2oqCgoKCgoKCgoKCgoKCgkNZQHy8UFBQUFBQUFBQUFBQU\nFBTSGubJ7oAM1q1bhz179iA7OxtPP/00AGDt2rU4deoUAMDj8cDpdOLJJ58Urv36178Ou90Oo9EI\nk8mEH/zgBxPad4Wxobu7Gz/5yU/Q19cHg8GAW265BcuWLcPQ0BDWrl2Lc+fOobCwEI8++igyMjKE\n699++21s2bIFAHDXXXfhM5/5zASPQCFR6OX8pZdewkcffQSz2YyZM2fikUcegcvlEq5Xc/3ShF7e\nGxoa8Ic//AFZWVkAgHvvvRf19fXC9Xv37sXPf/5zRCIRfPazn8Xy5csneggKCUIv5+q5PnURCATw\n3e9+F6FQCOFwGNdccw1WrFiBs2fP4r/+678wNDSEBQsW4Jvf/CbMZvHVdOvWrXjzzTdhNBrxla98\nBXV1dZMwCoVEoJfzH//4xzhy5AjMZjNKSkqwZs0aMucrV67E3LlzAQAFBQX4p3/6p4kegsIYoJf3\nn/zkJ2hubobT6QRwYR2fP3++cL16f7/0oJfzJ554Al6vFwAwMDCAkpIS/OM//qNwfcJzXbsE0NTU\npB05ckT71re+Rf73X/7yl9qmTZvI//bII49o/f3949k9hXFAb2+vduTIEU3TNM3j8Wh/93d/p508\neVJ76aWXtK1bt2qapmlbt27VXnrpJeHawcFB7etf/7o2ODjI/H+F9IZezvfu3auFQiFN0zTtpZde\nInOuaWquX6rQy/vGjRu1V199ddRrw+Gw9o1vfEPr6urSgsGg9vjjj2snT56ciG4rJAG9nMdCPden\nFiKRiOb1ejVN07RgMKh95zvf0dra2rSnn35a+9Of/qRpmqY999xz2u9+9zvh2pMnT2qPP/64FggE\ntDNnzmjf+MY3tHA4PKH9V0gcejn/6KOPtEgkokUiEW3t2rVkzjVN0+67776J7K5CiqCX9//5n//R\n3n///VGvVe/vlyb0ch6LJ598Unv77bfJ6xOd65eEbKSqqor8dR0ANE3D+/9/e/cX01b9xnH80xY6\nBRJGcYIw0Om2DEbQ8EcGOnFD542JS0a2ZWRzQsIWTZZliUHihc7JlSPbxWbAmLDJBYpmZpdqtgQM\noOv+wJYNCBAXDUFJKKEDJdJSLwj98aeH/aWcw+/9uuppzrd7yLOn39On5/ttW5teeumlMEeFxRQX\nFxfckfbxxx9XcnKyPB6P3G63CgsLJUmFhYVyu93zxra3tyszM1MxMTGKiYlRZmam2tvbwxo/7p9R\nzp9//nk5HA5J0vr16+XxeJYyTDxiRnm/F729vUpMTFRCQoIiIiJUUFAQ8j0B5nK3nDOvLz82m02P\nPfaYJMnv98vv98tms+nmzZvatGmTJOnVV18NWb9ut1sFBQWKjIzUk08+qcTERPX29oY1ftw/o5xn\nZWXJZrPJZrNp7dq1GhoaWuJI8SgZ5f1ecP1uTXfL+T///KObN28qNzf3kfx7llg2spDOzk7Fxsbq\nqaeeMjynqqpKkvT666/rtddeC1doeEQGBwf122+/ae3atRoZGVFcXJykqQtgr9c773yPx6P4+Pjg\nscvl4gOvxczM+UwXL15UQUGB4Thq3dpm5r2rq0s//PCDmpub9eyzz2rfvn3zmthzaz0+Pl49PT3h\nDhsPIVStM68vT5OTk6qoqNCff/6pN954QwkJCYqKigo2p43mao/Ho3Xr1gWPmdOtY27OZ+bR5/Pp\n559/1v79+0OOnZiY0AcffCCHw6G33npLL774YpiixsMKlfcff/xRDQ0N+u6775SRkaGSkhJFRkbO\nGsf1u3UtVOuXLl1SRkZGcMnQXPdb65ZvXrS0tCz47cyxY8fkcrk0MjKiTz/9VElJSUpPTw9jhHgY\n4+Pjqq6u1v79+w3/09+Le+36YukZ5fzcuXNyOBzavHlzyHHUurXNzfu2bdtUXFwsSfrmm2/01Vdf\n6d133501JhDil76pdeswqnXm9eXJbrfrs88+09jYmI4fP67+/v57GheqzmENc3P++++/B9e2f/nl\nl0pLS1NaWlrIsZ9//rlcLpf++usvffLJJ0pNTVViYmI4w8cDCpX3PXv2aOXKlfL5fKqtrdX58+eD\nc/xCmNOtYaFab2lp0datWw3H3m+tW2LZiBG/369Lly4t+E2sy+WSJMXGxio3N5dbDS3E5/Opurpa\nmzdvVl5enqSpPA4PD0uShoeHg5v5zeRyuWbdhujxeIJ3a8DcQuVcmtrA6cqVKzp06JDhREatW1eo\nvK9cuVJ2u112u11FRUXq6+ubNy4+Pn5WrQ8NDVHrFmFU68zry190dLTS09PV09Ojv//+W36/X9LU\nXD2d25nm1rnRe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      "text/plain": [
       "<matplotlib.figure.Figure at 0x27db6d87080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = df1['TEMP']\n",
    "y = df1['PM10']\n",
    "fig, ax = plt.subplots(figsize=(15, 8))\n",
    "plt.scatter(x, y, facecolor='mediumspringgreen', edgecolor='royalblue')\n",
    "ax.set_xlabel('TEMP')\n",
    "plt.ylabel('PM10 μg/m3')\n",
    "ax.set_title('The relationship between TEMP and PM10')\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AEDi65IQOJQ+hxXUdMB8rMACglRxfjlNicyvNcFCOAwA/gi45oUPJ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x27db6e08940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = df1['PRES']\n",
    "y = df1['PM10']\n",
    "fig, ax = plt.subplots(figsize=(15, 8))\n",
    "plt.scatter(x, y, facecolor='mediumspringgreen', edgecolor='royalblue')\n",
    "ax.set_xlabel('PRES')\n",
    "plt.ylabel('PM10 μg/m3')\n",
    "ax.set_title('The relationship between PRES and PM10')\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LIQOjmaoqmYg/FKWBs05VZavDSjzs1LU947XiswSzPOT8LrG1llYE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m1xQ+vUwZ/qw9mHz8Bv9MF6wYaCDwu5VpSdc2DsMuH8V8Y/K9lXxtsWRnrPl9lE59JxPvNY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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x27db6e69d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = df1['NRAD']\n",
    "y = df1['PM10']\n",
    "fig, ax = plt.subplots(figsize=(15, 8))\n",
    "plt.scatter(x, y, facecolor='mediumspringgreen', edgecolor='royalblue')\n",
    "ax.set_xlabel('NRAD')\n",
    "plt.ylabel('PM10 μg/m3')\n",
    "ax.set_title('The relationship between NRAD and PM10')\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VFuvVltM2q91h5/OWIZtVvjS5ydqoj8nja3rfKcUDACB0EcAAwkTy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      "text/plain": [
       "<matplotlib.figure.Figure at 0x27db721a898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = df1['STWD']\n",
    "y = df1['PM10']\n",
    "fig, ax = plt.subplots(figsize=(15, 8))\n",
    "plt.scatter(x, y, facecolor='mediumspringgreen', edgecolor='royalblue')\n",
    "ax.set_xlabel('STWD')\n",
    "plt.ylabel('PM10 μg/m3')\n",
    "ax.set_title('The relationship between STWD and PM10')\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QtgPsiSDgDbq7uzN16tSdtk2dOjXd3d1VqggAAJLx48fv9Aiwt8wneoPW1tYs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\nnbK+EfMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x27db6e50940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure();\n",
    "df1.boxplot(column=['PM10', 'WSPD','WDIR', 'RAIN', 'RHUM', 'TEMP', 'NRAD', 'STWD', 'CO', 'NO', 'NO2', 'SO2', 'O3'])\n",
    "plt.subplots_adjust(right=2.4, top = 1.6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Training and Tuning the Algorithm \n",
    "- by using grid search and scaling\n",
    "- label คือ 'PM10' \n",
    "- feature คือ 'WSPD','WDIR', 'RAIN', 'RHUM', 'TEMP', 'PRES', 'NRAD', 'STWD', 'TIME', 'DATE'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### โดยเลือกใช้ Algorithm :\n",
    "- Ridge regression\n",
    "- Linear Regression\n",
    "- SVR\n",
    "- Random Forest Regressor\n",
    "- Gradient Boosting Regressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "y = df1['PM10']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X = df1[['WSPD','WDIR', 'RAIN', 'RHUM', 'TEMP', 'PRES', 'NRAD', 'STWD', 'CO', 'NO', 'NO2', 'SO2', 'O3']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn import preprocessing\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.preprocessing import scale\n",
    "from sklearn.preprocessing import StandardScaler, RobustScaler, MinMaxScaler, Normalizer\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)\n",
    "\n",
    "scaler = StandardScaler()\n",
    "scaler.fit(X_train)\n",
    "X_train_scaled = scaler.transform(X_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ridge Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.47664018113336909"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import Ridge\n",
    "ridge = Ridge().fit(X_train_scaled, y_train)\n",
    "X_test_scaled = scaler.transform(X_test)\n",
    "ridge.score(X_test_scaled, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.47664018113336909"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.pipeline import make_pipeline\n",
    "pipe = make_pipeline(StandardScaler(), Ridge())\n",
    "pipe.fit(X_train, y_train)\n",
    "pipe.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'ridge__alpha': 1}\n",
      "0.476640181133\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "ridge_pipe = make_pipeline(StandardScaler(), Ridge())\n",
    "param_grid = {'ridge__alpha': [1,0.1,0.01,0.001,0.0001,0]}\n",
    "rid_grid = GridSearchCV(ridge_pipe, param_grid, cv=10)\n",
    "rid_grid.fit(X_train, y_train)\n",
    "print(rid_grid.best_params_)\n",
    "print(rid_grid.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best score: 0.476640181133\n",
      "Best estimator: {'ridge__alpha': 1}\n"
     ]
    }
   ],
   "source": [
    "print('Best score:', rid_grid.score(X_test, y_test))\n",
    "print('Best estimator:', rid_grid.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "y_pred1 = rid_grid.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "rid_mae = metrics.mean_absolute_error(y_test, y_pred1)\n",
    "rid_mse = metrics.mean_squared_error(y_test, y_pred1)\n",
    "rid_rmse = np.sqrt(metrics.mean_squared_error(y_test,y_pred1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Absolute Error: 9.8939818724\n",
      "Mean Squared Error: 166.958648799\n",
      "Root Mean Squared Error: 12.9212479583\n"
     ]
    }
   ],
   "source": [
    "# print result of MAE\n",
    "#print result of MSE\n",
    "# RMSE\n",
    "print('Mean Absolute Error:', rid_mae)\n",
    "print('Mean Squared Error:', rid_mse)  \n",
    "print('Root Mean Squared Error:', rid_rmse) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Linear Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.47665468255300064"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "pipe = make_pipeline(StandardScaler(),LinearRegression())\n",
    "pipe.fit(X_train, y_train)\n",
    "pipe.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'linearregression__copy_X': True, 'linearregression__fit_intercept': True, 'linearregression__normalize': True}\n",
      "0.476654682553\n"
     ]
    }
   ],
   "source": [
    "linear_pipe = make_pipeline(StandardScaler(), LinearRegression())\n",
    "param_grid = {\"linearregression__fit_intercept\": [True, False],\n",
    "    \"linearregression__normalize\" : [True, False],\n",
    "    \"linearregression__copy_X\" :  [True, False]}\n",
    "linear_grid = GridSearchCV(linear_pipe, param_grid, cv=5, n_jobs=-1)\n",
    "linear_grid.fit(X_train, y_train)\n",
    "print(linear_grid.best_params_)\n",
    "print(linear_grid.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best score: 0.476654682553\n",
      "Best params: {'linearregression__copy_X': True, 'linearregression__fit_intercept': True, 'linearregression__normalize': True}\n"
     ]
    }
   ],
   "source": [
    "print('Best score:',linear_grid.score(X_test, y_test))\n",
    "print('Best params:', linear_grid.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "y_pred = linear_grid.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "linear_mae = metrics.mean_absolute_error(y_test, y_pred)\n",
    "linear_mse = metrics.mean_squared_error(y_test, y_pred)\n",
    "linear_rmse = np.sqrt(metrics.mean_squared_error(y_test,y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Absolute Error: 9.89378604538\n",
      "Mean Squared Error: 166.954022656\n",
      "Root Mean Squared Error: 12.921068944\n"
     ]
    }
   ],
   "source": [
    "print('Mean Absolute Error:', linear_mae)\n",
    "print('Mean Squared Error:', linear_mse)  \n",
    "print('Root Mean Squared Error:', linear_rmse) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Random Forest Regressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.43846633907720922"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestRegressor\n",
    "pipe = make_pipeline(StandardScaler(),RandomForestRegressor())\n",
    "pipe.fit(X_train, y_train)\n",
    "pipe.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'randomforestregressor__bootstrap': False, 'randomforestregressor__max_depth': None, 'randomforestregressor__max_features': 6, 'randomforestregressor__min_samples_leaf': 1, 'randomforestregressor__min_samples_split': 2, 'randomforestregressor__n_estimators': 400}\n",
      "0.653621041891\n"
     ]
    }
   ],
   "source": [
    "rf_pipe = make_pipeline(StandardScaler(), RandomForestRegressor())\n",
    "param_grid = {\"randomforestregressor__n_estimators\": [100, 400],\n",
    "    \"randomforestregressor__max_depth\": [3, None],\n",
    "    \"randomforestregressor__max_features\": [ 3, 6, 8, 10],\n",
    "    \"randomforestregressor__min_samples_split\": [2, 5, 10],\n",
    "    \"randomforestregressor__min_samples_leaf\": [1, 3, 10],\n",
    "    \"randomforestregressor__bootstrap\": [True, False]}\n",
    "gridrf = GridSearchCV(rf_pipe, param_grid, cv=5, n_jobs=-1)\n",
    "gridrf.fit(X_train, y_train)\n",
    "print(gridrf.best_params_)\n",
    "print(gridrf.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best score: 0.653621041891\n",
      "Best params: {'randomforestregressor__bootstrap': False, 'randomforestregressor__max_depth': None, 'randomforestregressor__max_features': 6, 'randomforestregressor__min_samples_leaf': 1, 'randomforestregressor__min_samples_split': 2, 'randomforestregressor__n_estimators': 400}\n"
     ]
    }
   ],
   "source": [
    "print('Best score:',gridrf.score(X_test, y_test))\n",
    "print('Best params:', gridrf.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "modelPred = gridrf.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "rf_mae = metrics.mean_absolute_error(y_test, modelPred)\n",
    "rf_mse = metrics.mean_squared_error(y_test, modelPred)\n",
    "rf_rmse = np.sqrt(metrics.mean_squared_error(y_test, modelPred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Absolute Error: 10.6710375653\n",
      "Mean Squared Error: 206.562863753\n",
      "Root Mean Squared Error: 14.3722950065\n"
     ]
    }
   ],
   "source": [
    "print('Mean Absolute Error:', rf_mae)\n",
    "print('Mean Squared Error:', rf_mse)  \n",
    "print('Root Mean Squared Error:', rf_rmse) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Gradient Boosting Regressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5396317388716001"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import GradientBoostingRegressor\n",
    "pipe = make_pipeline(StandardScaler(),GradientBoostingRegressor())\n",
    "pipe.fit(X_train, y_train)\n",
    "pipe.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'gradientboostingregressor__learning_rate': 0.05, 'gradientboostingregressor__max_depth': 8, 'gradientboostingregressor__max_features': 8, 'gradientboostingregressor__min_samples_leaf': 5, 'gradientboostingregressor__n_estimators': 600}\n",
      "0.695339044942\n"
     ]
    }
   ],
   "source": [
    "gb_pipe = make_pipeline(StandardScaler(), GradientBoostingRegressor())\n",
    "param_grid = {\"gradientboostingregressor__learning_rate\": [0.1, 0.05, 0.02, 0.01],\n",
    "    \"gradientboostingregressor__n_estimators\": [100, 300, 600],\n",
    "    \"gradientboostingregressor__max_depth\": [4, 6, 8],\n",
    "    \"gradientboostingregressor__min_samples_leaf\": [5, 10, 20,50],\n",
    "    \"gradientboostingregressor__max_features\": [3, 6 , 8 ,10]}\n",
    "gb_grid = GridSearchCV(gb_pipe, param_grid, cv=5, n_jobs=-1)\n",
    "gb_grid.fit(X_train, y_train)\n",
    "print(gb_grid.best_params_)\n",
    "print(gb_grid.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best score: 0.695339044942\n",
      "Best params: {'gradientboostingregressor__learning_rate': 0.05, 'gradientboostingregressor__max_depth': 8, 'gradientboostingregressor__max_features': 8, 'gradientboostingregressor__min_samples_leaf': 5, 'gradientboostingregressor__n_estimators': 600}\n"
     ]
    }
   ],
   "source": [
    "print('Best score:',gb_grid.score(X_test, y_test))\n",
    "print('Best params:', gb_grid.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "modelPred2 = gb_grid.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "gb_mae = metrics.mean_absolute_error(y_test, modelPred2)\n",
    "gb_mse = metrics.mean_squared_error(y_test, modelPred2)\n",
    "gb_rmse = np.sqrt(metrics.mean_squared_error(y_test, modelPred2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Absolute Error: 10.0227308205\n",
      "Mean Squared Error: 181.684360084\n",
      "Root Mean Squared Error: 13.4790340931\n"
     ]
    }
   ],
   "source": [
    "print('Mean Absolute Error:', gb_mae)\n",
    "print('Mean Squared Error:', gb_mse)  \n",
    "print('Root Mean Squared Error:', gb_rmse) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Support Vector Regression (SVR)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.42952725543133558"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.svm import SVR\n",
    "pipe = make_pipeline(StandardScaler(), SVR())\n",
    "pipe.fit(X_train, y_train)\n",
    "pipe.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'svr__C': 100, 'svr__epsilon': 0.5, 'svr__kernel': 'rbf'}\n",
      "0.505083217087\n"
     ]
    }
   ],
   "source": [
    "svr_pipe = make_pipeline(StandardScaler(), SVR())\n",
    "param_grid = {\"svr__C\": [0.5, 1.0, 5, 10, 20, 50, 100],\n",
    "    \"svr__kernel\": ['linear', 'rbf', 'poly'],\n",
    "    \"svr__epsilon\": [0.1,0.2,0.5,0.3]}\n",
    "svr_grid = GridSearchCV(svr_pipe, param_grid, cv=5, n_jobs=-1)\n",
    "svr_grid.fit(X_train, y_train)\n",
    "print(svr_grid.best_params_)\n",
    "print(svr_grid.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best score: 0.505083217087\n",
      "Best params: {'svr__C': 100, 'svr__epsilon': 0.5, 'svr__kernel': 'rbf'}\n"
     ]
    }
   ],
   "source": [
    "print('Best score:',svr_grid.score(X_test, y_test))\n",
    "print('Best params:', svr_grid.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "modelPred3 = svr_grid.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "svr_mae = metrics.mean_absolute_error(y_test, modelPred3)\n",
    "svr_mse = metrics.mean_squared_error(y_test, modelPred3)\n",
    "svr_rmse = np.sqrt(metrics.mean_squared_error(y_test, modelPred3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Absolute Error: 12.7584536601\n",
      "Mean Squared Error: 295.143297838\n",
      "Root Mean Squared Error: 17.1797350922\n"
     ]
    }
   ],
   "source": [
    "print('Mean Absolute Error:', svr_mae)\n",
    "print('Mean Squared Error:', svr_mse)  \n",
    "print('Root Mean Squared Error:', svr_rmse) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Summary Score & MAE & MSE & RMSE\n",
    "| Algorithm | Score | MAE | MSE | RMSE | \n",
    "|---|---|---|---|---|  \n",
    "| Ridge regression | 0.36 | 15.028 |377.351 | 19.425| \n",
    "| Linear Regression | 0.36 | 15.028 |377.347 | 19.425 | \n",
    "| Random Forest Regressor | 0.65 | 10.671 |206.562 | 14.372 | \n",
    "| Gradient Boosting Regressor | 0.69 | 10.022 | 181.684 | 13.479 | \n",
    "| SVR | 0.50 | 12.758 | 295.143 |  17.179 | "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "ผลที่ได้จากการทดลองในโมเดลต่างๆพบว่า Gradient Boosting Regressor นั้นมีการ predict ค่าออกมาได้มีความแม่นยำมากที่สุดที่ค่า Score: 0.69, MAE: 10.022, MSE: 181.684, RMSE: 13.479\t "
   ]
  }
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