live co-vid tracker.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Corona Virus Live Tracking For India "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sno</th>\n",
       "      <th>state_name</th>\n",
       "      <th>active</th>\n",
       "      <th>positive</th>\n",
       "      <th>cured</th>\n",
       "      <th>death</th>\n",
       "      <th>new_active</th>\n",
       "      <th>new_positive</th>\n",
       "      <th>new_cured</th>\n",
       "      <th>new_death</th>\n",
       "      <th>state_code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>Andaman and Nicobar Islands</td>\n",
       "      <td>79</td>\n",
       "      <td>4805</td>\n",
       "      <td>4665</td>\n",
       "      <td>61</td>\n",
       "      <td>84</td>\n",
       "      <td>4818</td>\n",
       "      <td>4673</td>\n",
       "      <td>61</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>5078</td>\n",
       "      <td>875025</td>\n",
       "      <td>862895</td>\n",
       "      <td>7052</td>\n",
       "      <td>4966</td>\n",
       "      <td>875531</td>\n",
       "      <td>863508</td>\n",
       "      <td>7057</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>269</td>\n",
       "      <td>16509</td>\n",
       "      <td>16185</td>\n",
       "      <td>55</td>\n",
       "      <td>252</td>\n",
       "      <td>16513</td>\n",
       "      <td>16206</td>\n",
       "      <td>55</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Assam</td>\n",
       "      <td>3527</td>\n",
       "      <td>214584</td>\n",
       "      <td>210057</td>\n",
       "      <td>1000</td>\n",
       "      <td>3481</td>\n",
       "      <td>214657</td>\n",
       "      <td>210174</td>\n",
       "      <td>1002</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Bihar</td>\n",
       "      <td>5501</td>\n",
       "      <td>241776</td>\n",
       "      <td>234958</td>\n",
       "      <td>1317</td>\n",
       "      <td>5375</td>\n",
       "      <td>242224</td>\n",
       "      <td>235528</td>\n",
       "      <td>1321</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>Chandigarh</td>\n",
       "      <td>815</td>\n",
       "      <td>18572</td>\n",
       "      <td>17457</td>\n",
       "      <td>300</td>\n",
       "      <td>766</td>\n",
       "      <td>18638</td>\n",
       "      <td>17571</td>\n",
       "      <td>301</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>Chhattisgarh</td>\n",
       "      <td>18640</td>\n",
       "      <td>255761</td>\n",
       "      <td>234037</td>\n",
       "      <td>3084</td>\n",
       "      <td>19070</td>\n",
       "      <td>257020</td>\n",
       "      <td>234853</td>\n",
       "      <td>3097</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>Dadra and Nagar Haveli and Daman and Diu</td>\n",
       "      <td>17</td>\n",
       "      <td>3356</td>\n",
       "      <td>3337</td>\n",
       "      <td>2</td>\n",
       "      <td>17</td>\n",
       "      <td>3356</td>\n",
       "      <td>3337</td>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>10</td>\n",
       "      <td>Delhi</td>\n",
       "      <td>17373</td>\n",
       "      <td>605470</td>\n",
       "      <td>578116</td>\n",
       "      <td>9981</td>\n",
       "      <td>16785</td>\n",
       "      <td>607454</td>\n",
       "      <td>580655</td>\n",
       "      <td>10014</td>\n",
       "      <td>07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>11</td>\n",
       "      <td>Goa</td>\n",
       "      <td>1111</td>\n",
       "      <td>49305</td>\n",
       "      <td>47489</td>\n",
       "      <td>705</td>\n",
       "      <td>1066</td>\n",
       "      <td>49362</td>\n",
       "      <td>47590</td>\n",
       "      <td>706</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>12</td>\n",
       "      <td>Gujarat</td>\n",
       "      <td>13481</td>\n",
       "      <td>226508</td>\n",
       "      <td>208867</td>\n",
       "      <td>4160</td>\n",
       "      <td>13298</td>\n",
       "      <td>227683</td>\n",
       "      <td>210214</td>\n",
       "      <td>4171</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>13</td>\n",
       "      <td>Haryana</td>\n",
       "      <td>10318</td>\n",
       "      <td>251402</td>\n",
       "      <td>238374</td>\n",
       "      <td>2710</td>\n",
       "      <td>9875</td>\n",
       "      <td>252392</td>\n",
       "      <td>239800</td>\n",
       "      <td>2717</td>\n",
       "      <td>06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>14</td>\n",
       "      <td>Himachal Pradesh</td>\n",
       "      <td>7575</td>\n",
       "      <td>48951</td>\n",
       "      <td>40573</td>\n",
       "      <td>803</td>\n",
       "      <td>7251</td>\n",
       "      <td>49375</td>\n",
       "      <td>41313</td>\n",
       "      <td>811</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>15</td>\n",
       "      <td>Jammu and Kashmir</td>\n",
       "      <td>4831</td>\n",
       "      <td>115626</td>\n",
       "      <td>109002</td>\n",
       "      <td>1793</td>\n",
       "      <td>4702</td>\n",
       "      <td>116008</td>\n",
       "      <td>109507</td>\n",
       "      <td>1799</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>16</td>\n",
       "      <td>Jharkhand</td>\n",
       "      <td>1610</td>\n",
       "      <td>111366</td>\n",
       "      <td>108761</td>\n",
       "      <td>995</td>\n",
       "      <td>1571</td>\n",
       "      <td>111510</td>\n",
       "      <td>108940</td>\n",
       "      <td>999</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>17</td>\n",
       "      <td>Karnataka</td>\n",
       "      <td>18273</td>\n",
       "      <td>900214</td>\n",
       "      <td>870002</td>\n",
       "      <td>11939</td>\n",
       "      <td>17428</td>\n",
       "      <td>901410</td>\n",
       "      <td>872038</td>\n",
       "      <td>11944</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>18</td>\n",
       "      <td>Kerala</td>\n",
       "      <td>60177</td>\n",
       "      <td>664632</td>\n",
       "      <td>601861</td>\n",
       "      <td>2594</td>\n",
       "      <td>59588</td>\n",
       "      <td>669330</td>\n",
       "      <td>607119</td>\n",
       "      <td>2623</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>19</td>\n",
       "      <td>Ladakh</td>\n",
       "      <td>763</td>\n",
       "      <td>9138</td>\n",
       "      <td>8252</td>\n",
       "      <td>123</td>\n",
       "      <td>649</td>\n",
       "      <td>9155</td>\n",
       "      <td>8383</td>\n",
       "      <td>123</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>20</td>\n",
       "      <td>Lakshadweep</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>21</td>\n",
       "      <td>Madhya Pradesh</td>\n",
       "      <td>12947</td>\n",
       "      <td>222397</td>\n",
       "      <td>206059</td>\n",
       "      <td>3391</td>\n",
       "      <td>12837</td>\n",
       "      <td>223578</td>\n",
       "      <td>207337</td>\n",
       "      <td>3404</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>22</td>\n",
       "      <td>Maharashtra</td>\n",
       "      <td>74638</td>\n",
       "      <td>1876699</td>\n",
       "      <td>1753922</td>\n",
       "      <td>48139</td>\n",
       "      <td>75202</td>\n",
       "      <td>1880416</td>\n",
       "      <td>1757005</td>\n",
       "      <td>48209</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>23</td>\n",
       "      <td>Manipur</td>\n",
       "      <td>3057</td>\n",
       "      <td>27036</td>\n",
       "      <td>23657</td>\n",
       "      <td>322</td>\n",
       "      <td>3074</td>\n",
       "      <td>27155</td>\n",
       "      <td>23759</td>\n",
       "      <td>322</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>24</td>\n",
       "      <td>Meghalaya</td>\n",
       "      <td>641</td>\n",
       "      <td>12743</td>\n",
       "      <td>11977</td>\n",
       "      <td>125</td>\n",
       "      <td>730</td>\n",
       "      <td>12866</td>\n",
       "      <td>12008</td>\n",
       "      <td>128</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>25</td>\n",
       "      <td>Mizoram</td>\n",
       "      <td>192</td>\n",
       "      <td>4035</td>\n",
       "      <td>3836</td>\n",
       "      <td>7</td>\n",
       "      <td>186</td>\n",
       "      <td>4040</td>\n",
       "      <td>3847</td>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>26</td>\n",
       "      <td>Nagaland</td>\n",
       "      <td>610</td>\n",
       "      <td>11676</td>\n",
       "      <td>10998</td>\n",
       "      <td>68</td>\n",
       "      <td>634</td>\n",
       "      <td>11709</td>\n",
       "      <td>11007</td>\n",
       "      <td>68</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>27</td>\n",
       "      <td>Odisha</td>\n",
       "      <td>2879</td>\n",
       "      <td>323364</td>\n",
       "      <td>318683</td>\n",
       "      <td>1802</td>\n",
       "      <td>2881</td>\n",
       "      <td>323757</td>\n",
       "      <td>319069</td>\n",
       "      <td>1807</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>28</td>\n",
       "      <td>Puducherry</td>\n",
       "      <td>346</td>\n",
       "      <td>37444</td>\n",
       "      <td>36479</td>\n",
       "      <td>619</td>\n",
       "      <td>337</td>\n",
       "      <td>37492</td>\n",
       "      <td>36536</td>\n",
       "      <td>619</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>29</td>\n",
       "      <td>Punjab</td>\n",
       "      <td>7091</td>\n",
       "      <td>159579</td>\n",
       "      <td>147431</td>\n",
       "      <td>5057</td>\n",
       "      <td>7076</td>\n",
       "      <td>160200</td>\n",
       "      <td>148047</td>\n",
       "      <td>5077</td>\n",
       "      <td>03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>30</td>\n",
       "      <td>Rajasthan</td>\n",
       "      <td>16821</td>\n",
       "      <td>289999</td>\n",
       "      <td>270650</td>\n",
       "      <td>2528</td>\n",
       "      <td>16629</td>\n",
       "      <td>291289</td>\n",
       "      <td>272118</td>\n",
       "      <td>2542</td>\n",
       "      <td>08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>31</td>\n",
       "      <td>Sikkim</td>\n",
       "      <td>364</td>\n",
       "      <td>5316</td>\n",
       "      <td>4834</td>\n",
       "      <td>118</td>\n",
       "      <td>356</td>\n",
       "      <td>5338</td>\n",
       "      <td>4864</td>\n",
       "      <td>118</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>32</td>\n",
       "      <td>Tamil Nadu</td>\n",
       "      <td>10208</td>\n",
       "      <td>797693</td>\n",
       "      <td>775602</td>\n",
       "      <td>11883</td>\n",
       "      <td>10115</td>\n",
       "      <td>798888</td>\n",
       "      <td>776878</td>\n",
       "      <td>11895</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>34</td>\n",
       "      <td>Telengana</td>\n",
       "      <td>7630</td>\n",
       "      <td>277724</td>\n",
       "      <td>268601</td>\n",
       "      <td>1493</td>\n",
       "      <td>7380</td>\n",
       "      <td>278108</td>\n",
       "      <td>269232</td>\n",
       "      <td>1496</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>33</td>\n",
       "      <td>Tripura</td>\n",
       "      <td>352</td>\n",
       "      <td>33038</td>\n",
       "      <td>32310</td>\n",
       "      <td>376</td>\n",
       "      <td>330</td>\n",
       "      <td>33048</td>\n",
       "      <td>32342</td>\n",
       "      <td>376</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>35</td>\n",
       "      <td>Uttarakhand</td>\n",
       "      <td>6207</td>\n",
       "      <td>81939</td>\n",
       "      <td>74381</td>\n",
       "      <td>1351</td>\n",
       "      <td>6293</td>\n",
       "      <td>82429</td>\n",
       "      <td>74781</td>\n",
       "      <td>1355</td>\n",
       "      <td>05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>36</td>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>20091</td>\n",
       "      <td>564132</td>\n",
       "      <td>535985</td>\n",
       "      <td>8056</td>\n",
       "      <td>19729</td>\n",
       "      <td>565556</td>\n",
       "      <td>537755</td>\n",
       "      <td>8072</td>\n",
       "      <td>09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>37</td>\n",
       "      <td>West Bengal</td>\n",
       "      <td>23034</td>\n",
       "      <td>519215</td>\n",
       "      <td>487171</td>\n",
       "      <td>9010</td>\n",
       "      <td>22573</td>\n",
       "      <td>521795</td>\n",
       "      <td>490165</td>\n",
       "      <td>9057</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>11111</td>\n",
       "      <td></td>\n",
       "      <td>356546</td>\n",
       "      <td>9857029</td>\n",
       "      <td>9357464</td>\n",
       "      <td>143019</td>\n",
       "      <td>352586</td>\n",
       "      <td>9884100</td>\n",
       "      <td>9388159</td>\n",
       "      <td>143355</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      sno                                state_name  active  positive  \\\n",
       "0       2               Andaman and Nicobar Islands      79      4805   \n",
       "1       1                            Andhra Pradesh    5078    875025   \n",
       "2       3                         Arunachal Pradesh     269     16509   \n",
       "3       4                                     Assam    3527    214584   \n",
       "4       5                                     Bihar    5501    241776   \n",
       "5       6                                Chandigarh     815     18572   \n",
       "6       7                              Chhattisgarh   18640    255761   \n",
       "7       8  Dadra and Nagar Haveli and Daman and Diu      17      3356   \n",
       "8      10                                     Delhi   17373    605470   \n",
       "9      11                                       Goa    1111     49305   \n",
       "10     12                                   Gujarat   13481    226508   \n",
       "11     13                                   Haryana   10318    251402   \n",
       "12     14                          Himachal Pradesh    7575     48951   \n",
       "13     15                         Jammu and Kashmir    4831    115626   \n",
       "14     16                                 Jharkhand    1610    111366   \n",
       "15     17                                 Karnataka   18273    900214   \n",
       "16     18                                    Kerala   60177    664632   \n",
       "17     19                                    Ladakh     763      9138   \n",
       "18     20                               Lakshadweep       0         0   \n",
       "19     21                            Madhya Pradesh   12947    222397   \n",
       "20     22                               Maharashtra   74638   1876699   \n",
       "21     23                                   Manipur    3057     27036   \n",
       "22     24                                 Meghalaya     641     12743   \n",
       "23     25                                   Mizoram     192      4035   \n",
       "24     26                                  Nagaland     610     11676   \n",
       "25     27                                    Odisha    2879    323364   \n",
       "26     28                                Puducherry     346     37444   \n",
       "27     29                                    Punjab    7091    159579   \n",
       "28     30                                 Rajasthan   16821    289999   \n",
       "29     31                                    Sikkim     364      5316   \n",
       "30     32                                Tamil Nadu   10208    797693   \n",
       "31     34                                 Telengana    7630    277724   \n",
       "32     33                                   Tripura     352     33038   \n",
       "33     35                               Uttarakhand    6207     81939   \n",
       "34     36                             Uttar Pradesh   20091    564132   \n",
       "35     37                               West Bengal   23034    519215   \n",
       "36  11111                                            356546   9857029   \n",
       "\n",
       "      cured   death  new_active  new_positive  new_cured  new_death state_code  \n",
       "0      4665      61          84          4818       4673         61         35  \n",
       "1    862895    7052        4966        875531     863508       7057         28  \n",
       "2     16185      55         252         16513      16206         55         12  \n",
       "3    210057    1000        3481        214657     210174       1002         18  \n",
       "4    234958    1317        5375        242224     235528       1321         10  \n",
       "5     17457     300         766         18638      17571        301         04  \n",
       "6    234037    3084       19070        257020     234853       3097         22  \n",
       "7      3337       2          17          3356       3337          2         26  \n",
       "8    578116    9981       16785        607454     580655      10014         07  \n",
       "9     47489     705        1066         49362      47590        706         30  \n",
       "10   208867    4160       13298        227683     210214       4171         24  \n",
       "11   238374    2710        9875        252392     239800       2717         06  \n",
       "12    40573     803        7251         49375      41313        811         02  \n",
       "13   109002    1793        4702        116008     109507       1799         01  \n",
       "14   108761     995        1571        111510     108940        999         20  \n",
       "15   870002   11939       17428        901410     872038      11944         29  \n",
       "16   601861    2594       59588        669330     607119       2623         32  \n",
       "17     8252     123         649          9155       8383        123         37  \n",
       "18        0       0           0             0          0          0         31  \n",
       "19   206059    3391       12837        223578     207337       3404         23  \n",
       "20  1753922   48139       75202       1880416    1757005      48209         27  \n",
       "21    23657     322        3074         27155      23759        322         14  \n",
       "22    11977     125         730         12866      12008        128         17  \n",
       "23     3836       7         186          4040       3847          7         15  \n",
       "24    10998      68         634         11709      11007         68         13  \n",
       "25   318683    1802        2881        323757     319069       1807         21  \n",
       "26    36479     619         337         37492      36536        619         34  \n",
       "27   147431    5057        7076        160200     148047       5077         03  \n",
       "28   270650    2528       16629        291289     272118       2542         08  \n",
       "29     4834     118         356          5338       4864        118         11  \n",
       "30   775602   11883       10115        798888     776878      11895         33  \n",
       "31   268601    1493        7380        278108     269232       1496         36  \n",
       "32    32310     376         330         33048      32342        376         16  \n",
       "33    74381    1351        6293         82429      74781       1355         05  \n",
       "34   535985    8056       19729        565556     537755       8072         09  \n",
       "35   487171    9010       22573        521795     490165       9057         19  \n",
       "36  9357464  143019      352586       9884100    9388159     143355             "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.read_json('https://www.mohfw.gov.in/data/datanew.json')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1c207a97848>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlAAAAJMCAYAAAA19pilAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAgAElEQVR4nOzde5hdZXn///fNEAmR4ZhQOdkEChhCTrCJCA0gIM1XkZNAtIqxVgesUqCiUOmvTKuUVhGk6gWdAhI0YiIGqRStMRgDCKF7MIQME2yx0UbyJZhUDOWYyf39Yzb5hTDJ3mtm75md5P26rrmy1nqetZ57yx9+rmet9azITCRJklS7HYa6AEmSpK2NAUqSJKkgA5QkSVJBBihJkqSCDFCSJEkFGaAkSZIK2nEwBxs5cmSOHj16MIeUJEnql87Ozt9k5qi+2gY1QI0ePZpyuTyYQ0qSJPVLRPxyc23ewpMkSSrIACVJklRQ1Vt4ETEcWAjsVOl/R2ZeWWm7EPgEsA7418z89BYv9tTPoH231xwaP+bN/Spc2645V68b6hI0yO494asAvPg/176ubfqYywa7HDW5m4bPH+oSNASmHvd1AE468ckhrqRXLc9AvQScmJnPRcQw4P6I+D6wM3A6MCEzX4qIvRtZqCRJUrOoGqCy92vDz1V2h1X+EvgY8PeZ+VKl36pGFSlJktRManoGKiJaImIxsAqYl5mLgEOAqRGxKCJ+EhFHNbJQSZKkZlHTMgaZ2QNMiojdgTsj4vDKuXsARwNHAXMi4sDKjNUGEdEGtAG8ebeoZ+2SJElDotBbeJn5W2ABMA1YAczNXg8D64GRfZzTkZmlzCyNGmGAkiRJW7+qASoiRlVmnoiInYGTgWXAd4ETK8cPAd4A/KZxpUqSJDWH2OSO2+s7REwAZgIt9AauOZn5txHxBuAWYBLwMnBpZt67pWuVSqV0JXJJkrQ1iIjOzCz11VbLW3hLgMl9HH8Z+MDAy5MkSdq6uBK5JElSQQYoSZKkggxQkiRJBRmgJEmSCjJASZIkFVTLOlDDI+LhiHg0Iroi4m8qx9sj4tcRsbjy987GlytJkjT0avmUy0vAiZn5XEQMA+6PiO9X2q7LzGtqHaxrdRfjZ47vs23O1es2e17rGR2bbbtp+PzNtrW3t9damiRJUs1qWQcqgecqu8Mqf1tefVOSJGkbVtMzUBHREhGLgVXAvMxcVGn6REQsiYhbImKPhlUpSZLURGoKUJnZk5mTgP2BKRFxOHADcBC9n3JZCXyxr3Mjoi0iyhFR7lnbU6eyJUmShk6ht/Ay87fAAmBaZj5dCVbrgX8GpmzmnI7MLGVmqaW1ZcAFS5IkDbVa3sIbFRG7V7Z3Bk4GlkXEPht1OxNY2pgSJUmSmkstb+HtA8yMiBZ6A9eczLw7Ir4eEZPofaB8OXB+48qUJElqHtH7kt3gKJVKWS6XB208SZKk/oqIzsws9dXmSuSSJEkFGaAkSZIKMkBJkiQVZICSJEkqyAAlSZJUkAFKkiSpoKrrQEXEcGAhsFOl/x2ZeeVG7ZcCXwBGZeZvtnStrtVdjJ85frPtc65et9m21jM6tljnTcPnb7atvb19i+dKkiQVUctCmi8BJ2bmcxExDLg/Ir6fmQ9FxAHAO4BfNbRKSZKkJlL1Fl72eq6yO6zy9+rqm9cBn95oX5IkaZtX0zNQEdESEYuBVcC8zFwUEacBv87MRxtaoSRJUpOp5RYemdkDTKp8VPjOiJgAXAGcUu3ciGgD2gCG7TVsAKVKkiQ1h0Jv4WXmb4EFwOnAGODRiFgO7A88EhFv6uOcjswsZWappbVl4BVLkiQNsaoBKiJGVWaeiIidgZOBn2Xm3pk5OjNHAyuAIzLz/za0WkmSpCZQyy28fYCZEdFCb+Cak5l3N7YsSZKk5hWZg/cCXalUynK5PGjjSZIk9VdEdGZmqa82VyKXJEkqyAAlSZJUkAFKkiSpIAOUJElSQQYoSZKkggxQkiRJBdWykObwiHg4Ih6NiK6I+JvK8c9GxJKIWBwRP4yIfatdq2t1F91vGcuKy++jvb29DuVLkiQNvlpmoF4CTszMicAkYFpEHA18ITMnZOYk4G7grxtYpyRJUtOouhJ59q60+Vxld1jlLzPzdxt1eyMweCtySpIkDaFaPuVC5TMuncAfAF/NzEWV41cBHwSeBd7eqCIlSZKaSU0PkWdmT+VW3f7AlIg4vHL8isw8AJgFfKKvcyOiLSLKEVHuWdtTr7olSZKGTKG38DLzt8ACYNomTd8E3rOZczoys5SZpZbWln4VKUmS1ExqeQtvVETsXtneGTgZWBYRB2/U7TRgWWNKlCRJai61PAO1DzCz8hzUDsCczLw7Ir4TEYcC64FfAhdUu9C4vcYxtlwGoJ2p/a9akiRpCNXyFt4SYHIfx/u8ZSdJkrStcyVySZKkggxQkiRJBRmgJEmSCjJASZIkFWSAkiRJKqiWdaCGR8TDEfFoRHRFxN9Ujn8hIpZFxJKIuPPVtaIkSZK2dbXMQL0EnJiZE4FJwLSIOBqYBxyemROAnwN/We1CLy7tor29fQDlSpIkDb2qASp7PVfZHVb5y8z8YWauqxx/iN7v5EmSJG3zanoGKiJaImIxsAqYl5mLNunyYeD79S5OkiSpGdUUoDKzJzMn0TvLNCUiDn+1LSKuANYBs/o6NyLaIqIcEeU1Pev66iJJkrRVKfQWXmb+FlgATAOIiBnAqcD7MzM3c05HZpYys7RnSy2f3pMkSWputbyFN+rVN+wiYmfgZGBZREwDLgNOy8znG1umJElS86hlSmgfYGZEtNAbuOZk5t0R8Z/ATsC8iAB4KDMvaFypkiRJzSE2c+etIUqlUpbL5UEbT5Ikqb8iojMzS321uRK5JElSQQYoSZKkggxQkiRJBRmgJEmSCjJASZIkFWSAkiRJKqjqOlARMRxYSO+aTzsCd2TmlRFxDtAOjAWmZGbV9Qm6Vncxfub4Dftzrv7/P+1yz8SDmD7msg37Nw2f/5pz29vbq11ekiRpUNSykOZLwImZ+VxEDAPuj4jvA0uBs4B/amSBkiRJzaZqgKp84+65yu6wyl9mZjdAZRVySZKk7UZNz0BFREtELAZWAfMyc1Fjy5IkSWpeNQWozOzJzEnA/sCUiDi81gEioi0iyhFR7lnb0986JUmSmkaht/Ay87fAAmBagXM6MrOUmaWW1paC5UmSJDWfqgEqIkZFxO6V7Z2Bk4FljS5MkiSpWdUyA7UP8OOIWAL8O73PQN0dEWdGxArgbcC/RsS/NbJQSZKkZhG9L9kNjlKplOVy1eWiJEmShlxEdGZmqa82VyKXJEkqyAAlSZJUkAFKkiSpIAOUJElSQQYoSZKkggxQkiRJBVX9mHBEDAcWAjtV+t+RmVdGxJ7AbGA0sBw4NzP/Z0vX6lrdxfiZ42sqbM7V62rqd8/Eg5g+5rKa+t40fH5N/QDa29tr7itJkrYvtcxAvQScmJkTgUnAtIg4GrgcmJ+ZBwPzK/uSJEnbvKoBKns9V9kdVvlL4HRgZuX4TOCMhlQoSZLUZGp6BioiWiJiMbCK3k+5LAJ+LzNXAlT+3btxZUqSJDWPmgJUZvZk5iRgf2BKRBxe6wAR0RYR5Ygo96zt6W+dkiRJTaPQW3iZ+VtgATANeDoi9gGo/LtqM+d0ZGYpM0strS0DLFeSJGnoVQ1QETEqInavbO8MnAwsA/4FmFHpNgO4q1FFSpIkNZPIzC13iJhA70PiLfQGrjmZ+bcRsRcwB3gz8CvgnMxcs6VrlUqlLJfLdSlckiSpkSKiMzNLfbVVXQcqM5cAk/s4vho4aeDlSZIkbV1ciVySJKkgA5QkSVJBBihJkqSCDFCSJEkFGaAkSZIKqmUdqAMi4scR0R0RXRFxUeX4xIh4MCIei4jvRcSujS9XkiRp6NUyA7UO+GRmjgWOBj4eEYcBNwGXZ+Z44E7gU40rU5IkqXlUDVCZuTIzH6lsrwW6gf2AQ4GFlW7zgPc0qkhJkqRmUugZqIgYTe+imouApcBplaZzgAPqWZgkSVKzqjlARcQuwHeAizPzd8CH6b2d1wm0Ai9v5ry2iChHRPmZZ56pR82SJElDqqYAFRHD6A1PszJzLkBmLsvMUzLzSOB24Mm+zs3MjswsZWZp1KhR9apbkiRpyNTyFl4ANwPdmXntRsf3rvy7A/BXwI2NKlKSJKmZ1DIDdSxwHnBiRCyu/L0TeF9E/BxYBjwFfK2BdUqSJDWNHat1yMz7gdhM8/X1LUeSJKn5uRK5JElSQQYoSZKkggxQkiRJBRmgJEmSCjJASZIkFWSAkiRJKqjqMgYRcQBwG/AmYD3QkZnXR8QkehfPHA6sA/4sMx/e0rW6Vncxfub4Dftzrl73mvbWMzpes3/T8Pmv2W9vb69WriRJUsNVDVD0hqNPZuYjEdEKdEbEPODzwN9k5vcrC2t+HjihcaVKkiQ1h1oW0lwJrKxsr42IbmA/IIFdK912o3c1ckmSpG1eLTNQG0TEaGAysAi4GPi3iLiG3mepjql3cZIkSc2o5ofII2IX4DvAxZn5O+BjwCWZeQBwCb0fHO7rvLaIKEdEuWdtTz1qliRJGlI1BaiIGEZveJqVmXMrh2cAr25/G5jS17mZ2ZGZpcwstbS2DLReSZKkIVc1QEVE0Du71J2Z127U9BRwfGX7ROA/6l+eJElS86nlGahjgfOAxyJiceXYZ4CPAtdHxI7Ai0BbY0qUJElqLpGZgzZYqVTKcrk8aONJkiT1V0R0ZmaprzZXIpckSSrIACVJklSQAUqSJKkgA5QkSVJBBihJkqSCDFCSJEkFVV0HKiIOAG4D3gSsBzoy8/qImA0cWum2O/DbzJy0pWt1re5i/MzxzLl6HQCtZ3QAcNPw+QBMPe7rnHTik/37JZIkSYOkloU01wGfzMxHIqIV6IyIeZk5/dUOEfFF4NlGFSlJktRMqgaozFwJrKxsr42IbmA/4HHY8KmXc+n9nIskSdI2r9AzUBExGpgMLNro8FTg6cz0W3iSJGm7UHOAiohdgO8AF2fm7zZqeh9w+xbOa4uIckSUe9b29L9SSZKkJlHLM1BExDB6w9OszJy70fEdgbOAIzd3bmZ2AB0AO4/ZefA+vCdJktQgVWegKs843Qx0Z+a1mzSfDCzLzBWNKE6SJKkZReaWJ4Ui4g+B+4DH6F3GAOAzmXlPRNwKPJSZN9YyWKlUynK5PIByJUmSBkdEdGZmqa+2Wt7Cux+IzbR9aGClSZIkbX1ciVySJKkgA5QkSVJBBihJkqSCDFCSJEkFGaAkSZIKqmUdqAMi4scR0R0RXRFx0UZtF0bEE5Xjn29sqZIkSc2hlhmodcAnM3MscDTw8Yg4LCLeDpwOTMjMccA11S704tIu2tvbB1KvJEnSkKtlHaiVwMrK9tqI6Ab2Az4K/H1mvlRpW9XIQiVJkppFoWegImI0MBlYBBwCTI2IRRHxk4g4qv7lSZIkNZ+aPiYMEBG70PtB4Ysz83eVDwnvQe9tvaOAORFxYG7ybZiIaAPaAPbZsebhJEmSmlZNM1ARMYze8DQrM+dWDq8A5mavh+n9Tt7ITc/NzI7MLGVmac8WA5QkSdr61fIWXgA3A92Zee1GTd8FTqz0OQR4A/CbRhQpSZLUTGqZEjoWOA94LCIWV459BrgFuCUilgIvAzM2vX0nSZK0LYrBzDylUinL5fKgjSdJktRfEdGZmaW+2lyJXJIkqSADlCRJUkEGKEmSpIIMUJIkSQUZoCRJkgoyQEmSJBVUdR2oiDgAuA14E72rjXdk5vUR0U7vB4WfqXT9TGbes6Vrda3uYvzM8Rv251y97nV9Ws/oeM3+TcPnv2a/vb29WsmSJEkNVctCmuuAT2bmIxHRCnRGxLxK23WZeU3jypMkSWo+VQNUZq4EVla210ZEN7BfowuTJElqVoWegYqI0cBkYFHl0CciYklE3BIRe9S5NkmSpKZUc4CKiF2A7wAXZ+bvgBuAg4BJ9M5QfXEz57VFRDkiyj1re+pQsiRJ0tCqKUBFxDB6w9OszJwLkJlPZ2ZPZq4H/hmY0te5mdmRmaXMLLW0ttSrbkmSpCFTNUBFRAA3A92Zee1Gx/fZqNuZwNL6lydJktR8ankL71jgPOCxiFhcOfYZ4H0RMQlIYDlwfkMqlCRJajKRmYM2WKlUynK5PGjjSZIk9VdEdGZmqa82VyKXJEkqyAAlSZJUkAFKkiSpIAOUJElSQQYoSZKkggxQkiRJBdWykOYBEfHjiOiOiK6IuGiT9ksjIiNiZLVrPfXUUwOpVZIkqSnUspDmOuCTmflIRLQCnRExLzMfj4gDgHcAv2polZIkSU2k6gxUZq7MzEcq22uBbmC/SvN1wKfpXY1ckiRpu1DoGaiIGA1MBhZFxGnArzPz0QbUJUmS1LRquYUHQETsAnwHuJje23pXAKfUcF4b0Aaw22679a9KSZKkJlLTDFREDKM3PM3KzLnAQcAY4NGIWA7sDzwSEW/a9NzM7MjMUmaWRowYUb/KJUmShkjVGaiICOBmoDszrwXIzMeAvTfqsxwoZeZvGlSnJElS06hlBupY4DzgxIhYXPl7Z4PrkiRJalpVZ6Ay834gqvQZXctg++67b21VSZIkNTFXIpckSSrIACVJklSQAUqSJKkgA5QkSVJBBihJkqSCDFCSJEkFVQ1QEXFARPw4IrojoisiLqoc/2xELKmsC/XDiHCNAkmStF2oZQZqHfDJzBwLHA18PCIOA76QmRMycxJwN/DXDaxTkiSpaVQNUJm5MjMfqWyvBbqB/TLzdxt1eyOQjSlRkiSpuVRdiXxjETEamAwsquxfBXwQeBZ4e51rkyRJako1P0QeEbsA3wEufnX2KTOvyMwDgFnAJzZzXltElCOi/Mwzz9SjZkmSpCFVU4CKiGH0hqdZmTm3jy7fBN7T17mZ2ZGZpcwsjRo1qv+VSpIkNYla3sIL4GagOzOv3ej4wRt1Ow1YVv/yJEmSmk8tz0AdC5wHPBYRiyvHPgP8aUQcCqwHfglc0JgSJUmSmkvVAJWZ9wPRR9M99S9HkiSp+bkSuSRJUkEGKEmSpIIMUJIkSQUZoCRJkgoyQEmSJBVUyzpQB0TEjyOiOyK6IuKiyvEvRMSyiFgSEXdGxO6NL1eSJGno1TIDtQ74ZGaOBY4GPh4RhwHzgMMzcwLwc+Avq13oqaeeGkitkiRJTaFqgMrMlZn5SGV7LdAN7JeZP8zMdZVuDwH7N65MSZKk5lHoGaiIGA1MBhZt0vRh4Pv1KUmSJKm51RygImIXej8ofHFm/m6j41fQe5tv1mbOa4uIckSUn3/++YHWK0mSNORqClARMYze8DQrM+dudHwGcCrw/szMvs7NzI7MLGVmacSIEfWoWZIkaUhV/RZeRARwM9CdmddudHwacBlwfGY6tSRJkrYbVQMUcCxwHvBYRCyuHPsM8I/ATsC83ozFQ5l5QUOqlCRJaiJVA1Rm3g9EH033FB1s3333LXqKJElS03ElckmSpIIMUJIkSQUZoCRJkgoyQEmSJBVkgJIkSSrIACVJklRQ1QAVEQdExI8jojsiuiLiosrxcyr76yOiVMtgLy7tGmi9kiRJQ66WhTTXAZ/MzEciohXojIh5wFLgLOCfGlmgJElSs6llIc2VwMrK9tqI6Ab2y8x5AJVVyCVJkrYbhZ6BiojRwGRgUSOKkSRJ2hrUHKAiYhfgO8DFmfm7Aue1RUQ5Ispretb1p0ZJkqSmUlOAiohh9IanWZk5t8gAmdmRmaXMLO3ZUssjV5IkSc2tlrfwArgZ6M7MaxtfkiRJUnOrZUroWOA84LGIWFw59hlgJ+DLwCjgXyNicWb+UWPKlCRJah61vIV3P7C5V+3uLDLY8MPHFekuSZLUlFyJXJIkqSADlCRJUkEGKEmSpIIMUJIkSQUZoCRJkgoyQEmSJBVUdRmDiDgAuA14E7Ae6MjM6yNiT2A2MBpYDpybmf+zxYs99TPGzxw/wJKrm3N1Yz8Zc8/Eg5g+5rKGjvGqm4bPb9i1px73dU468cmGXV+SpG1VLTNQ64BPZuZY4Gjg4xFxGHA5MD8zDwbmV/YlSZK2eVUDVGauzMxHKttrgW5gP+B0YGal20zgjEYVKUmS1EwKPQMVEaOBycAi4PcycyX0hixg73oXJ0mS1IxqDlARsQvwHeDizPxdgfPaIqIcEeVnns/+1ChJktRUagpQETGM3vA0KzPnVg4/HRH7VNr3AVb1dW5mdmRmKTNLo0Zs7pN6kiRJW4+qASoiArgZ6M7Mazdq+hdgRmV7BnBX/cuTJElqPpG55dtqEfGHwH3AY/QuYwDwGXqfg5oDvBn4FXBOZq7Z0rVKpVKWy+WB1ixJktRwEdGZmaW+2qquA5WZ9wObu/d20kAKkyRJ2hq5ErkkSVJBBihJkqSCDFCSJEkFGaAkSZIKMkBJkiQVVMs6ULdExKqIWLrRsYkR8WBEPBYR34uIXRtbpiRJUvOoZR2o44DngNsy8/DKsX8HLs3Mn0TEh4Exmfn/VRts5zE75x+0/wEAc65et+F46xkdG7ZvGj5/w3Z7e3vtv0SSJKmOtrQOVNUZqMxcCGy6QOahwMLK9jzgPQOqUJIkaSvS32eglgKnVbbPAQ6oTzmSJEnNr78B6sPAxyOiE2gFXt5cx4hoi4hyRJR71vb0czhJkqTmUfVTLn3JzGXAKQARcQjwri307QA6oPcZqP6MJ0mS1Ez6NQMVEXtX/t0B+CvgxnoWJUmS1MxqWcbgduBB4NCIWBERfwq8LyJ+DiwDngK+1tgyJUmSmkfVZQzqqVQqZblcHrTxJEmS+mtAyxhIkiTptQxQkiRJBRmgJEmSCjJASZIkFWSAkiRJKsgAJUmSVFAt60DdEhGrImLpRscmRcRDEbG48pmWKY0tU5IkqXnUMgN1KzBtk2OfB/4mMycBf13ZlyRJ2i5UDVCZuRBYs+lhYNfK9m70rkYuSZK0XejXx4SBi4F/i4hr6A1hx9SvJEmSpObW34fIPwZckpkHAJcAN2+uY0S0VZ6TKj/zzDP9HE6SJKl59DdAzQDmVra/DWz2IfLM7MjMUmaWRo0a1c/hJEmSmkd/A9RTwPGV7ROB/6hPOZIkSc2v6jNQEXE7cAIwMiJWAFcCHwWuj4gdgReBtkYWKUmS1EyqBqjMfN9mmo6scy2SJElbBVcilyRJKsgAJUmSVJABSpIkqSADlCRJUkEGKEmSpIIMUJIkSQVVDVARcUtErIqIpRsdmx0Riyt/yyNicWPLlCRJah61fEz4VuArwG2vHsjM6a9uR8QXgWfrXpkkSVKTqmUhzYURMbqvtogI4Fx6P+ciSZK0XRjoM1BTgacz02/hSZKk7cZAA9T7gNu31CEi2iKiHBHlZ555ZoDDSZIkDb1+B6jKh4TPAmZvqV9mdmRmKTNLo0aN6u9wkiRJTWMgM1AnA8syc0W9ipEkSdoa1LKMwe3Ag8ChEbEiIv600vReqty+kyRJ2hbV8hbe+zZz/EN1r0aSJGkr4ErkkiRJBRmgJEmSCjJASZIkFWSAkiRJKsgAJUmSVFAtyxjcEhGrImLpJscvjIgnIqIrIj7fuBIlSZKaS9VlDIBbga8At716ICLeDpwOTMjMlyJi75pGe+pnjJ85vmq3OVev22L7PRMPYvqYy6pe56bh87fY3t7eXvUakiRJm6o6A5WZC4E1mxz+GPD3mflSpc+qBtQmSZLUlPr7DNQhwNSIWBQRP4mIo+pZlCRJUjOr5Rbe5s7bAzgaOAqYExEHZmZu2jEi2oA2gDfvFuza30olSZKaRH9noFYAc7PXw8B6YGRfHTOzIzNLmVkaNSL6W6ckSVLT6G+A+i5wIkBEHAK8AfhNvYqSJElqZlVv4UXE7cAJwMiIWAFcCdwC3FJZ2uBlYEZft+8kSZK2RTGYuadUKmW5XB608SRJkvorIjozs9RXmyuRS5IkFWSAkiRJKsgAJUmSVJABSpIkqSADlCRJUkEGKEmSpIJqWQfqFuBUYFVmHl451g58FHim0u0zmXlPtWt1re5i/MzxNRc35+p1NfcFaD2jo1B/gJuGz6+5b3t7e+HrS5KkbU8tM1C3AtP6OH5dZk6q/FUNT5IkSduKqgEqMxcCawahFkmSpK3CQJ6B+kRELImIWyJij7pVJEmS1OT6G6BuAA4CJgErgS9urmNEtEVEOSLKPWt7+jmcJElS8+hXgMrMpzOzJzPXA/8MTNlC347MLGVmqaW1pb91SpIkNY1+BaiI2Gej3TOBpfUpR5IkqfnVsozB7cAJwMiIWAFcCZwQEZOABJYD5zewRkmSpKYSmTlog5VKpSyXy4M2niRJUn9FRGdmlvpqcyVySZKkggxQkiRJBRmgJEmSCjJASZIkFWSAkiRJKsgAJUmSVFAt60DdApwKrMrMwzdpuxT4AjAqM39T7Vpdq7vofstYAFrP6OCm4fMBaG9vL1y4JEnSUKllBupWYNqmByPiAOAdwK/qXJMkSVJTqxqgMnMhsKaPpuuAT9O7GrkkSdJ2o7/fwjsN+HVmPlrneiRJkppe1WegNhURI4ArgFNq7N8GtAEM22sY7FR0REmSpObSnxmog4AxwKMRsRzYH3gkIt7UV+fM7MjMUmaWWlpb+l+pJElSkyg8A5WZjwF7v7pfCVGlWt7CkyRJ2hbUsozB7cAJwMiIWAFcmZk392ewcXuNY2y5vGG/nan9uYwkSdKQqhqgMvN9VdpH160aSZKkrYArkUuSJBVkgJIkSSrIACVJklSQAUqSJKkgA5QkSVJBVQNURNwSEasiYulGxz4bEUsiYnFE/DAi9m1smZIkSc2jlhmoW4Fpmxz7QmZOyMxJwN3AX9cyWNfqLsbPHE/3W8ay4vL7WHH5fbS3txcqWJIkaahVDVCZuRBYs8mx3220+0Yg61yXJElS0yr8KZdXRcRVwAeBZ4G3160iSZKkJtfvh8gz84rMPACYBXxic/0ioi0iyhFR7lnb09/hJEmSmkY93sL7JvCezTVmZkdmljKz1NLaUofhJEmShla/AlREHLzR7mnAsvqUI0mS1PyqPgMVEbcDJwAjI2IFcCXwzog4FFgP/BK4oBP3BaIAACAASURBVJFFSpIkNZPIHLwX6EqlUpbL5UEbT5Ikqb8iojMzS321uRK5JElSQQYoSZKkggxQkiRJBRmgJEmSCjJASZIkFWSAkiRJKqhqgIqIWyJiVUQs3ejYFyJiWUQsiYg7I2L3WgbrWt3Fisvvo729fQAlS5IkDa1aZqBuBaZtcmwecHhmTgB+DvxlneuSJElqWlUDVGYuBNZscuyHmbmusvsQsH8DapMkSWpK9XgG6sPA9+twHUmSpK3CgAJURFwBrANmbaFPW0SUI6Lcs7ZnIMNJkiQ1hX4HqIiYAZwKvD+38EG9zOzIzFJmllpaW/o7nCRJUtPYsT8nRcQ04DLg+Mx8vr4lSZIkNbdaljG4HXgQODQiVkTEnwJfAVqBeRGxOCJubHCdkiRJTSO2cPet7kqlUpbL5UEbT5Ikqb8iojMzS321uRK5JElSQQYoSZKkggxQkiRJBRmgJEmSCjJASZIkFWSAkiRJKqjqQpoRcQu9K46vyszDK8fOAdqBscCUzKxpbYKu1V2MnzkegDlXr3tNW+sZHRu2bxo+f8P21OO+zkknPlnL5SVJkgZFLTNQtwLTNjm2FDgLWFjvgiRJkppd1RmozFwYEaM3OdYNEBGNqUqSJKmJ+QyUJElSQQ0PUBHRFhHliCj3rO1p9HCSJEkN1/AAlZkdmVnKzFJLa0ujh5MkSWo4b+FJkiQVVDVARcTtwIPAoRGxIiL+NCLOjIgVwNuAf42If2t0oZIkSc0iMnPQBiuVSlku17RklCRJ0pCKiM7MLPXV5i08SZKkggxQkiRJBRmgJEmSCjJASZIkFWSAkiRJKsgAJUmSVFDVjwlHxC3AqcCqzDy8cmxPYDYwGlgOnJuZ/1PtWl2ruxg/czwAc65et+F46xkdG7ZvGj5/w3Z7e3sNP0GSJGlw1TIDdSswbZNjlwPzM/NgYH5lX5IkabtQNUBl5kJgzSaHTwdmVrZnAmfUuS5JkqSm1d9noH4vM1cCVP7du34lSZIkNbeGP0QeEW0RUY6Ics/ankYPJ0mS1HD9DVBPR8Q+AJV/V22uY2Z2ZGYpM0strS39HE6SJKl59DdA/Qswo7I9A7irPuVIkiQ1v8jMLXeIuB04ARgJPA1cCXwXmAO8GfgVcE5mbvqg+euUSqUsl8sDLFmSJKnxIqIzM0t9tVVdByoz37eZppMGVJUkSdJWypXIJUmSCjJASZIkFVT1Fp4kSaqvV155hRUrVvDiiy8OdSkChg8fzv7778+wYcNqPscAJUnSIFuxYgWtra2MHj2aiBjqcrZrmcnq1atZsWIFY8aMqfk8b+FJkjTIXnzxRfbaay/DUxOICPbaa6/Cs4EDClARcVFELI2Iroi4eCDXkiRpe2J4ah79+W/R7wAVEYcDHwWmABOBUyPi4C2d07W6ixWX30d7e3t/h5UkSRpyA3kGaizwUGY+DxARPwHOBD5fj8IkSdpejL78X+t6veV//666Xk+vN5BbeEuB4yJir4gYAbwTOKA+ZUmSpEb63//9X971rncxceJEDj/8cGbPns3o0aO58sorOeKIIxg/fjzLli0DYM2aNZxxxhlMmDCBo48+miVLlgxx9UOv3wEqM7uBfwDmAT8AHgXWbdovItoiohwR5Z61Pf0uVJIk1c8PfvAD9t13Xx599FGWLl3KtGnTABg5ciSPPPIIH/vYx7jmmmsAuPLKK5k8eTJLlizh7/7u7/jgBz84lKU3hQE9RJ6ZN2fmEZl5HLAG+I8++nRkZikzSy2tLQMZTpIk1cn48eP50Y9+xGWXXcZ9993HbrvtBsBZZ50FwJFHHsny5csBuP/++znvvPMAOPHEE1m9ejXPPvvskNTdLAa0DlRE7J2ZqyLizcBZwNvqU5YkSWqkQw45hM7OTu655x7+8i//klNOOQWAnXbaCYCWlhbWreu9sZSZrzt/e3+LcKDrQH0nIh4Hvgd8PDP/pw41SZKkBnvqqacYMWIEH/jAB7j00kt55JFHNtv3uOOOY9asWQAsWLCAkSNHsuuuuw5WqU1pQDNQmTm1SP9xe41j/7+fSjuFTpMkSXX22GOP8alPfYoddtiBYcOGccMNN3D22Wf32be9vZ0/+ZM/YcKECYwYMYKZM2cOcrXNJ/qalmuUUqmU5XJ50MaTJKkZdXd3M3bs2KEuQxvp679JRHRmZqmv/n7KRZIkqSADlCRJUkEGKEmSpIIMUJIkSQUZoCRJkgoa6EKalwAfARJ4DPiTzHxxc/27Vncxfub4zV5vztWv+xLMa7Se0VG1ppuGz99s29Tjvs5JJz5Z9RqSJElb0u8ZqIjYD/hzoJSZhwMtwHvrVZgkSWoOCxYs4Kc//emG/RtvvJHbbrttCCsaegOagaqcv3NEvAKMAJ4aeEmSJG1n2ner8/Xq+526BQsWsMsuu3DMMccAcMEFF9T1+lujfs9AZeavgWuAXwErgWcz84f1KkySJDXWGWecwZFHHsm4cePo6Oh9TOYHP/gBRxxxBBMnTuSkk05i+fLl3HjjjVx33XVMmjSJ++67j/b2dq655hq6u7uZMmXKhustX76cCRMmANDZ2cnxxx/PkUceyR/90R+xcuXKIfmNjdLvGaiI2AM4HRgD/Bb4dkR8IDO/sUm/NqANYNhewwZQqiRJqqdbbrmFPffckxdeeIGjjjqK008/nY9+9KMsXLiQMWPGsGbNGvbcc08uuOACdtllFy699FIA5s/vfd547NixvPzyy/ziF7/gwAMPZPbs2Zx77rm88sorXHjhhdx1112MGjWK2bNnc8UVV3DLLbcM5c+tq4HcwjsZ+K/MfAYgIuYCxwCvCVCZ2QF0AOw8ZufB+26MJEnaon/8x3/kzjvvBOC///u/6ejo4LjjjmPMmDEA7LnnnlWvce655zJnzhwuv/xyZs+ezezZs3niiSdYunQp73jHOwDo6elhn332adwPGQIDCVC/Ao6OiBHAC8BJgB+6kyRpK7BgwQJ+9KMf8eCDDzJixAhOOOEEJk6cyBNPPFHoOtOnT+ecc87hrLPOIiI4+OCDeeyxxxg3bhwPPvhgg6ofegN5BmoRcAfwCL1LGOxAZaZJkiQ1t2effZY99tiDESNGsGzZMh566CFeeuklfvKTn/Bf//VfAKxZswaA1tZW1q5d2+d1DjroIFpaWvjsZz/L9OnTATj00EN55plnNgSoV155ha6urkH4VYNnQG/hZeaVwJW19h+31zjKM7YwSTVjINX0amfqFlslSRJMmzaNG2+8kQkTJnDooYdy9NFHM2rUKDo6OjjrrLNYv349e++9N/PmzePd7343Z599NnfddRdf/vKXX3et6dOn86lPfWpD8HrDG97AHXfcwZ//+Z/z7LPPsm7dOi6++GLGjRs32D+zYSJz8B5LKpVKWS57l0+StH3r7u5m7NixQ12GNtLXf5OI6MzMUl/9/ZSLJElSQQYoSZKkggxQkiRJBRmgJEmSCjJASZIkFdTvABURh0bE4o3+fhcRF9ezOEmSpGY0kIU0n8jMSZk5CTgSeB64s26VSZKkpnbjjTdy2223AXDrrbfy1FNPbWj7yEc+wuOPPz5UpTXcgBbS3MhJwJOZ+cs6XU+SpO3G+Jnj63q9x2Y8Vtfrbc4FF1ywYfvWW2/l8MMPZ9999wXgpptuGpQahkq9noF6L3B7na4lSZIabPny5bzlLW9hxowZTJgwgbPPPpvnn3+e+fPnM3nyZMaPH8+HP/xhXnrpJQAuv/xyDjvsMCZMmMCll14KQHt7O9dccw133HEH5XKZ97///UyaNIkXXniBE044gXK5zA033MCnP/3pDePeeuutXHjhhQB84xvfYMqUKUyaNInzzz+fnp6ewf8fop8GHKAi4g3AacC3N9PeFhHliCg/88wzAx1OkiTVyRNPPEFbWxtLlixh11135dprr+VDH/oQs2fP5rHHHmPdunXccMMNrFmzhjvvvJOuri6WLFnCX/3VX73mOmeffTalUolZs2axePFidt5559e0zZ07d8P+7NmzmT59Ot3d3cyePZsHHniAxYsX09LSwqxZswbttw9UPWag/g/wSGY+3VdjZnZkZikzS6NGjarDcJIkqR4OOOAAjj32WAA+8IEPMH/+fMaMGcMhhxwCwIwZM1i4cCG77rorw4cP5yMf+Qhz585lxIgRNY8xatQoDjzwQB566CFWr17NE088wbHHHsv8+fPp7OzkqKOOYtKkScyfP59f/OIXDfmdjVCPZ6Deh7fvJEna6kRETf123HFHHn74YebPn8+3vvUtvvKVr3DvvffWPM706dOZM2cOb3nLWzjzzDOJCDKTGTNmcPXVV/e3/CE1oBmoiBgBvAOYW62vJElqLr/61a948MEHAbj99ts5+eSTWb58Of/5n/8JwNe//nWOP/54nnvuOZ599lne+c538qUvfYnFixe/7lqtra2sXbu2z3HOOussvvvd73L77bczffp0AE466STuuOMOVq1aBcCaNWv45S+3nnfRBjQDlZnPA3vVqRZJkjSIxo4dy8yZMzn//PM5+OCDuf766zn66KM555xzWLduHUcddRQXXHABa9as4fTTT+fFF18kM7nuuuted60PfehDXHDBBey8884bQtmr9thjDw477DAef/xxpkyZAsBhhx3G5z73OU455RTWr1/PsGHD+OpXv8rv//7vD8pvH6jIzEEbrFQqZblcHrTxJElqRt3d3YwdO3ZIa1i+fDmnnnoqS5cuHdI6mkVf/00iojMzS33191MukiRJBRmgJEnaDo0ePdrZpwEwQEmSJBVkgJIkSSpooMsY7B4Rd0TEsojojoi31aswSZKkZjXQhTSvB36QmWdXPumyxaVJu1Z3veaDiXOuXrdhu/WMjtf0vWn4/A3b7e3tAyxTkiSpfvo9AxURuwLHATcDZObLmfnbehUmSZK2brfeeiuf+MQnhrqMhhjIDNSBwDPA1yJiItAJXJSZ/1uXyiRJ2k50v6W+a0KNXdZd1+ttrKenh5aWloZdf2sxkGegdgSOAG7IzMnA/wKXb9opItoiohwR5Z61PQMYTpIk1dNtt93GhAkTmDhxIueddx4f+tCHuOOOOza077LLLgAsWLCAt7/97fzxH/8x48f3PorzjW98gylTpjBp0iTOP/98enp6/z/+a1/7GocccgjHH388DzzwwOD/qEEykAC1AliRmYsq+3fQG6heIzM7MrOUmaWWVhOrJEnNoKuri6uuuop7772XRx99lOuvv36L/R9++GGuuuoqHn/8cbq7u5k9ezYPPPAAixcvpqWlhVmzZrFy5UquvPJKHnjgAebNm8fjjz8+SL9m8PX7Fl5m/t+I+O+IODQznwBOArbd/6UkSdqG3HvvvZx99tmMHDkSgD333HOL/adMmcKYMWMAmD9/Pp2dnRx11FEAvPDCC+y9994sWrSIE044gVGjRgEwffp0fv7znzfwVwydgb6FdyEwq/IG3i+APxl4SZIkqdEyk4h4zbEdd9yR9evXb2h/+eWXN7S98Y1vfM25M2bM4Oqrr37N+d/97ndfd81t1YACVGYuBvr8yF5fxu01jvKMjT4mPGPzfduZOoDKJEnSlpx00kmceeaZXHLJJey1116sWbOG0aNH09nZybnnnstdd93FK6+8stlzTz/9dC655BL23ntv1qxZw9q1a3nrW9/KRRddxOrVq9l111359re/zcSJEwf5lw2Ogc5ASZKkrdC4ceO44oorOP7442lpaWHy5Mn8wz/8A6effjpTpkzhpJNOes2s08YOO+wwPve5z3HKKaewfv16hg0bxle/+lWOPvpo2tvbedvb3sY+++zDEUccseHh8m1NZOagDVYqlbJcLlfvKEnSNqy7u5uxY+u7dIEGpq//JhHRmZl93mnzW3iSJEkFGaAkSZIKMkBJkiQVZICSJEkqaEBv4UXEcmAt0AOs29yDVq96+dfPDWQ4SZKkplCPZQzenpm/qcN1JEmStgrewpMkSbS3t3PNNdcUPm/BggX89Kc/3bC/6QeJt1UDnYFK4IcRkcA/ZWZHHWqSJGm78tUL7q3r9T5+44l1vd6WLFiwgF122YVjjjlm0MZsBgOdgTo2M48A/g/w8Yg4btMOEdEWEeWIKK95/rcDHE6SJNXLVVddxaGHHsrJJ5/ME088AcCTTz7JtGnTOPLII5k6dSrLli0D4Hvf+x5vfetbmTx5MieffDJPP/00y5cv58Ybb+S6665j0qRJ3HfffQAsXLiQY445hgMPPHCbnY0aUIDKzKcq/64C7gSm9NGnIzNLmVnac8TuAxlOkiTVSWdnJ9/61rf42c9+xty5c/n3f/93ANra2vjyl79MZ2cn11xzDX/2Z38GwB/+4R/y0EMP8bOf/Yz3vve9fP7zn2f06NFccMEFXHLJJSxevJipU3u/Y7ty5Uruv/9+7r77bi6//PIh+42N1O9beBHxRmCHzFxb2T4F+Nu6VSZJkhrmvvvu48wzz2TEiBEAnHbaabz44ov89Kc/5ZxzztnQ76WXXgJgxYoVTJ8+nZUrV/Lyyy8zZsyYzV77jDPOYIcdduCwww7j6aefbuwPGSIDeQbq94A7I+LV63wzM39Ql6okSVLDVf4/fIP169ez++67s3jx4tf1vfDCC/mLv/gLTjvtNBYsWEB7e/tmr7vTTjtt2B7Mb+4Opn7fwsvMX2TmxMrfuMy8qto5b9hvl/4OJ0mS6ui4447jzjvv5IUXXmDt2rV873vfY8SIEYwZM4Zvf/vbQG/4efTRRwF49tln2W+//QCYOXPmhuu0traydu3awf8BQ8xlDCRJ2g4dccQRTJ8+nUmTJvGe97xnw/NLs2bN4uabb2bixImMGzeOu+66C+hd5uCcc85h6tSpjBw5csN13v3ud3PnnXe+5iHy7UEM5tRaqVTKcrk8aONJktSMuru7GTt27FCXoY309d8kIjo395UVZ6AkSZIKMkBJkiQVZICSJEkqyAAlSZJU0EC/hUdEtABl4NeZeeqW+nat7mL8zPEAzLl63Ybj90w8iOljLtuwf9Pw+Ru2t7TOhCRJ0lCoxwzURUB3Ha4jSZK0VRhQgIqI/YF3ATfVpxxJkqTmN9BbeF8CPg201qEWSZK2S1+cvsUnYAr75Oy763q9wfKlL32Jtra2Dd/ne+c738k3v/lNdt999yGu7PX6PQMVEacCqzKzs0q/togoR0S5Z21Pf4eTJEnbuC996Us8//zzG/bvueeepgxPMLBbeMcCp0XEcuBbwIkR8Y1NO2VmR2aWMrPU0toygOEkSVK9LF++nLFjx/LRj36UcePGccopp/DCCy/w5JNPMm3aNI488kimTp36/9q7/+Cqqnvv4+9vzo0JChjqT355CQUsDUlOzM9KEwjagOLUtgM2TK8XgyUK+FCnj9aC5QEpHR2hXoHiAGmh+giRH9FHx9F7UYEeaBRIJEmFoIGbyE1DQcAgIFCI6/njxAAhgRxOfsn5vGbOzDl7r732Ot+zBr7Za++12LVrF3V1dfTv3x/nHLW1tYSFheHz+QBIT09n9+7dTZ5j69at3H777SQkJHD77bfz8ccfA1BXV8djjz1GbGwscXFxLFy4kAULFlBTU0NmZiaZmZkA9OvXj4MHD/LEE0/wwgsvNNQ7a9Ysfv/73wMwd+5ckpOTiYuLY+bMmW0ZsvMEs5jwNOdcH+dcPyAbWO+c+7dWa5mIiIi0qYqKCqZMmcKOHTuIioqioKCA3NxcFi5cSHFxMfPmzWPy5Ml4PB4GDRrEzp072bx5M4mJiWzatIlTp05RXV3NgAEDmqz/O9/5Dj6fj+3btzN79mymT58OwNKlS6msrGT79u2UlZXxs5/9jKlTp9KrVy82bNjAhg0bzqsnOzubVatWNXxevXo1Y8eOZd26dVRUVLB161ZKSkooLi5uSOzaWtDTGAQi5roYisbXr4U3/uz2xqsBzSK93dokIiISqqKjo/F6vQAkJiZSVVVFYWEhY8eObShz6tQpwH+lyefzUVlZybRp08jLy2PYsGEkJyc3W/+RI0cYP348FRUVmBmnT58G4N133+Xhhx/mX/7Fn4Z861vfumg7ExISOHDgADU1NXz22Wf06NGDW265hQULFrBu3ToSEhIAOHbsGBUVFWRkZFx+UFqoVRIo59xGYGNr1CUiIiLtIyIiouG9x+Nh//79REVFUVJSckHZ9PR0Fi9eTE1NDbNnz2bu3Lls3LjxosnKjBkzyMzM5LXXXqOqqorhw4cD4JzDzAJq65gxY1i7di3/+Mc/yM7Obqhn2rRpPPTQQwHV1Ro0E7mIiIgA0L17d6Kjo1mzZg3gT1BKS0sBSE1NpbCwkLCwMCIjI/F6vSxZsoT09OZHjY4cOULv3r0B+POf/9ywPSsri8WLF3PmjH9S7cOHDwPQrVs3jh492mRd2dnZvPLKK6xdu5YxY8YAMHLkSJYtW8axY8cA+Pvf/86BAweCiEDLtesQnoiIiFyoM007sGLFCiZNmsScOXM4ffo02dnZxMfHExERQd++fUlLSwP8V6Ty8/OJjY1ttq5f/epXjB8/nueee44RI0Y0bP/5z3/OJ598QlxcHOHh4UycOJFHHnmE3Nxc7rrrLnr27HnBfVAxMTEcPXqU3r1707NnT8CfiJWXl/O9730PgK5du/Lyyy9z4403tnZYLmDOuTY/ydeSkpJcUVFRu51PRESkMyovL2fw4MZ3AEtHauo3MbNi51xSU+U1hCciIiISIA3hiYiISFCWL1/O/Pnzz9s2dOhQFi1a1EEtanuXnUCZWSTgAyLq61nrnGu/GaxERESkU8jJySEnJ6ejm9GugrkCdQoY4Zw7ZmbhwGYze9s590FzB+w4tIPYF/03m61++kzD9m4/Wtrw/o+R7wGQnvF/uWPEniCaJyIiItI2LjuBcv67z4/Vfwyvf7XfHekiIiIiHSSom8jNzGNmJcAB4B3n3JbWaZaIiIhI5xVUAuWcq3POeYE+QIqZDWlcxsxyzazIzIrqjtYFczoRERGRTqG1lnKpNbONwCjgo0b7lgJLAbpEd9EQn4iISCPVv97UqvX1eebKWlP27rvvZuXKlQCsXLmSyZMnA1BTU8PUqVNZu3Ztu7fpsq9AmdkNZhZV/74LcCewq7UaJiIiIgLw1ltvERUVRW1tLS+88ELD9l69enVI8gTBDeH1BDaYWRmwDf89UJ1nLnoRERFpVlVVFYMHD2bixInExMSQlZXFiRMn2LNnD6NGjSIxMZH09HR27dpFXV0d/fv3xzlHbW0tYWFh+Hw+wL+ky+7du5s8x6xZs7j//vsZMWIEAwcOJC8vD/Cvsff4448zZMgQYmNjWbVqFQD79u0jIyMDr9fLkCFD2LTJf2WuX79+HDx4kF//+tfs2bMHr9fL448/TlVVFUOG+O8eSk1NZceOHQ3nHj58OMXFxRw/fpwJEyaQnJxMQkICr7/+eqvEL5in8MqAhECOibkuhqLx9Uu5jG+6zCzSG96JiIhI26moqCA/P5+8vDzuu+8+CgoKWL58OYsXL2bgwIFs2bKFyZMns379egYNGsTOnTuprKwkMTGRTZs2kZqaSnV1NQMGDGj2HGVlZXzwwQccP36chIQERo8ezfvvv09JSQmlpaUcPHiQ5ORkMjIyWLlyJSNHjuTJJ5+krq6OL7/88ry6nnnmGT766CNKSkoAfxL4tezsbFavXs1TTz3Fvn37qKmpITExkenTpzNixAiWLVtGbW0tKSkp3HnnnVxzzTVBxU4zkYuIiISo6OhovF4vAImJiVRVVVFYWMjYsWMbypw6dQrwX2ny+XxUVlYybdo08vLyGDZsGMnJyRc9x7333kuXLl3o0qULmZmZbN26lc2bNzNu3Dg8Hg833XQTw4YNY9u2bSQnJzNhwgROnz7Nj370o4a2tcR9993HD37wA5566ilWr17d8B3WrVvHG2+8wbx58wA4efIke/fuDXotQq2FJyIiEqIiIiIa3ns8Hg4fPkxUVBQlJSUNr/LycsCfQG3atImtW7dy9913U1tby8aNG8nIyLjoOczsgs/+qSQvlJGRgc/no3fv3tx///289NJLLf4uvXv35rrrrqOsrIxVq1aRnZ0N+IcLCwoKGr5PayRPoARKRERE6nXv3p3o6GjWrFkD+JOP0tJSwH+PUWFhIWFhYURGRuL1elmyZAnp6Rd/4u/111/n5MmTHDp0iI0bNzYM161atYq6ujo+++wzfD4fKSkpfPrpp9x4441MnDiRBx98kA8//PC8urp168bRo0ebPVd2djbPPvssR44cITbWv/LJyJEjWbhwYUPStn379suOz7k0hCciItLBOtO0AytWrGDSpEnMmTOH06dPk52dTXx8PBEREfTt25e0tDTAf0UqPz+/IVFpTkpKCqNHj2bv3r3MmDGDXr168eMf/5j333+f+Ph4zIxnn32Wm2++mRdffJG5c+cSHh5O165dL7gCdd111zF06FCGDBnCXXfdxZQpU87bP2bMGH7xi18wY8aMhm0zZszg0UcfJS4uDucc/fr14803g3/mzZq7jNYWkpKSXFFRUbudT0REpDMqLy9vlWGkzm7WrFl07dqVxx57rKObcklN/SZmVuycS2qqvIbwRERERAJ02UN4ZtYXeAm4GfgKWOqcm3+xY/7592MX2y0iIiLfQMuXL2f+/PNTgKFDh7Jo0aIOalHbC+YeqDPA/3bOfWhm3YBiM3vHObezldomIiIi3wA5OTnk5OR0dDPa1WUP4Tnn9jnnPqx/fxQoB3q3VsNEREREOqtWuQfKzPrhn5V8S2vUJyIiItKZBZ1AmVlXoAB41Dn3RRP7c82syMyKDn9ZG+zpRERERDpcUAmUmYXjT55WOOdebaqMc26pcy7JOZf0raujgjmdiIiISKcQzFN4BvwJKHfOPdd6TRIREQkts2bN6tT1dXbDhw9n3rx5JCU1OWVTmwjmCtRQh8183QAADrJJREFU4H5ghJmV1L/ubqV2iYiISAg7c+ZMRzfhooJ5Cm+zc86cc3HOOW/9662LHXNV766XezoRERFpRVVVVQwePJiJEycSExNDVlYWJ06cYM+ePYwaNYrExETS09PZtWsXdXV19O/fH+cctbW1hIWF4fP5AP+SLrt3727yHMeOHSMnJ4fY2Fji4uIoKCgAoGvXs/nA2rVreeCBBwB44IEH+OUvf0lmZiZPPPEEx48fZ8KECSQnJ5OQkMDrr78OwIkTJ8jOziYuLo6f/vSnnDhxog0j1TSthSciIhKiKioqyM/PJy8vj/vuu4+CggKWL1/O4sWLGThwIFu2bGHy5MmsX7+eQYMGsXPnTiorK0lMTGTTpk2kpqZSXV3NgAEDmqz/t7/9Lddeey1/+9vfAPj8888v2aZPPvmEd999F4/Hw/Tp0xkxYgTLli2jtraWlJQU7rzzTpYsWcLVV19NWVkZZWVl3Hbbba0al5ZQAiUiIhKioqOj8Xq9ACQmJlJVVUVhYSFjx45tKHPq1CnAf6XJ5/NRWVnJtGnTyMvLY9iwYSQnJzdb/7vvvssrr7zS8LlHjx6XbNPYsWPxeDwArFu3jjfeeIN58+YBcPLkSfbu3YvP52Pq1KkAxMXFERcXF+A3D54SKBERkRAVERHR8N7j8bB//36ioqIoKSm5oGx6ejqLFy+mpqaG2bNnM3fuXDZu3EhGRkaz9Tvn8D9zdr5zt508efK8fddcc815xxcUFHDrrbdetI6OoMWERUREBIDu3bsTHR3NmjVrAH8CU1paCkBqaiqFhYWEhYURGRmJ1+tlyZIlpKenN1tfVlYWf/jDHxo+fz2Ed9NNN1FeXs5XX33Fa6+91uzxI0eOZOHChTjnANi+fTsAGRkZrFixAoCPPvqIsrKyIL715dEVKBERkQ7WmaYdWLFiBZMmTWLOnDmcPn2a7Oxs4uPjiYiIoG/fvqSlpQH+K1L5+fnExsY2W9dvfvMbpkyZwpAhQ/B4PMycOZOf/OQnPPPMM9xzzz307duXIUOGcOzYsSaPnzFjBo8++ihxcXE45+jXrx9vvvkmkyZNIicnh7i4OLxeLykpKW0Si4uxr7O69pCUlOSKiora7XwiIiKdUXl5OYMHD+7oZsg5mvpNzKzYOdfk5FJBXYEys2XAPcAB59yQS5XfcWgHsS82n6k2tvrpls8B8Vb8t/lp9BMtLv/HyPdaXBY6118HIiIi0rGCvQfqz8CoVmiHiIiIfEMtX74cr9d73mvKlCkd3aw2FdQVKOecz8z6tU5TRERE5JsoJyeHnJycjm5Gu9JTeCIiIiIBavMEysxyzazIzIrqjta19elERERE2lybJ1DOuaXOuSTnXJKnm6etTyciIiLS5jSEJyIiIhKgYKcxyAeGA9ebWTUw0zn3p+bKx1wXQ9H4AOaBGt/yooHOpjGL5mdOFRERaU/vrf92q9Z3x4g9rVpfa+nXrx9FRUVcf/31AR/7/PPPk5uby9VXXw1A165dm52Asz0EdQXKOTfOOdfTORfunOtzseRJRERE5HI9//zzfPnllx3djAYawhMREQlBVVVVDB48mIkTJxITE0NWVhYnTpxgz549jBo1isTERNLT09m1axd1dXX0798f5xy1tbWEhYXh8/kA/5Iuu3fvbvIchw4dIisri4SEBB566CHOXf3k5ZdfJiUlBa/Xy0MPPURdnf9Bs0mTJpGUlERMTAwzZ84EYMGCBdTU1JCZmUlmZmZDHU8++STx8fGkpaWxf//+tgpVk5RAiYiIhKiKigqmTJnCjh07iIqKoqCggNzcXBYuXEhxcTHz5s1j8uTJeDweBg0axM6dO9m8eTOJiYls2rSJU6dOUV1dzYABA5qs/6mnnuL73/8+27dv54c//CF79+4F/MumrFq1ir/+9a+UlJTg8XgaFgf+3e9+R1FREWVlZfzlL3+hrKyMqVOn0qtXLzZs2MCGDRsAOH78OGlpaZSWlpKRkUFeXl77BK2eFhMWEREJUdHR0Xi9XgASExOpqqqisLCQsWPHNpQ5deoU4L/S5PP5qKysZNq0aeTl5TFs2DCSk5Obrd/n8/Hqq68CMHr0aHr06AHAe++9R3FxccOxJ06c4MYbbwRg9erVLF26lDNnzrBv3z527txJXFzcBXVfddVV3HPPPQ1tf+edd4INR0CUQImIiISoiIiIhvcej4f9+/cTFRVFSUnJBWXT09NZvHgxNTU1zJ49m7lz57Jx40YyMjIueg4zu2Cbc47x48fz9NNPn7e9srKSefPmsW3bNnr06MEDDzzAyZMnm6w3PDy8oW6Px8OZMy1fP7c1aAhPREREAOjevTvR0dGsWbMG8Cc6paWlAKSmplJYWEhYWBiRkZF4vV6WLFlCenrzT7VnZGQ0DM29/fbbfP755wDccccdrF27lgMHDgBw+PBhPv30U7744guuueYarr32Wvbv38/bb7/dUFe3bt04evRom3zvyxHsNAajgPmAB/ijc+6ZVmmViIhICOlM0w6sWLGCSZMmMWfOHE6fPk12djbx8fFERETQt29f0tLSAP8Vqfz8fGJjY5uta+bMmYwbN47bbruNYcOGccsttwDw3e9+lzlz5pCVlcVXX31FeHg4ixYtIi0tjYSEBGJiYujfvz9Dhw5tqCs3N5e77rqLnj17NtwH1ZHs3DviAzrQzAN8AvwAqAa2AeOcczubOyYpKckVFQUwD5SIiMgVqLy8nMGDA53BUNpSU7+JmRU755KaKh/MEF4KsNs599/OuX8CrwD3BlGfiIiIyDdCMEN4vYH/OedzNZAaXHNERETkm2b58uXMnz//vG1Dhw5l0aJFHdSithdMAnXhbfVwwXigmeUCuUDD2KeIiIhcOXJycsjJyenoZrSrYIbwqoG+53zuA9Q0LuScW+qcS3LOJd1www1BnE5EROTKcbn3IEvru5zfIpgEahsw0MyizewqIBt4I4j6REREQkJkZCSHDh1SEtUJOOc4dOgQkZGRAR132UN4zrkzZvYI8F/4pzFY5pzbcbn1iYiIhIo+ffpQXV3NZ5991tFNEfwJbZ8+fQI6Jqh5oJxzbwFvBVOHiIhIqAkPDyc6OrqjmyFB0EzkIiIiIgFSAiUiIiISICVQIiIiIgG67KVcLutkZkeBj9vthJ3b9cDBjm5EJ6J4nKVYnKVYnKVYnE/xOEuxOKu1Y/Gvzrkm52AK6ibyy/Bxc2vKhBozK1IszlI8zlIszlIszlIszqd4nKVYnNWesdAQnoiIiEiAlECJiIiIBKi9E6il7Xy+zkyxOJ/icZZicZZicZZicT7F4yzF4qx2i0W73kQuIiIiciXQEJ6IiIhIgNokgTKzUWb2sZntNrNfN7HfzGxB/f4yM7utLdrRGbQgFsPN7IiZldS//k9HtLM9mNkyMztgZh81sz+U+sWlYhFK/aKvmW0ws3Iz22Fmv2iiTEj0jRbGIiT6hplFmtlWMyutj8VTTZQJiX4BLY5HSPSNr5mZx8y2m9mbTexr+77hnGvVF/6FhfcA/YGrgFLgu43K3A28DRiQBmxp7XZ0hlcLYzEceLOj29pO8cgAbgM+amZ/SPSLFsYilPpFT+C2+vfdgE9C+N+MlsQiJPpG/W/dtf59OLAFSAvFfhFAPEKib5zzfX8JrGzqO7dH32iLK1ApwG7n3H875/4JvALc26jMvcBLzu8DIMrMerZBWzpaS2IRMpxzPuDwRYqESr9oSSxChnNun3Puw/r3R4FyoHejYiHRN1oYi5BQ/1sfq/8YXv9qfNNuSPQLaHE8QoaZ9QFGA39spkib9422SKB6A/9zzudqLvwHoCVlrgQt/Z7fq78s+7aZxbRP0zqlUOkXLRVy/cLM+gEJ+P+6PlfI9Y2LxAJCpG/UD9GUAAeAd5xzId0vWhAPCJG+ATwP/Ar4qpn9bd432iKBsia2Nc6SW1LmStCS7/kh/qni44GFwP9r81Z1XqHSL1oi5PqFmXUFCoBHnXNfNN7dxCFXbN+4RCxCpm845+qcc16gD5BiZkMaFQmpftGCeIRE3zCze4ADzrniixVrYlur9o22SKCqgb7nfO4D1FxGmSvBJb+nc+6Lry/LOufeAsLN7Pr2a2KnEir94pJCrV+YWTj+hGGFc+7VJoqETN+4VCxCrW8AOOdqgY3AqEa7QqZfnKu5eIRQ3xgK/NDMqvDfGjPCzF5uVKbN+0ZbJFDbgIFmFm1mVwHZwBuNyrwB/Hv9XfJpwBHn3L42aEtHu2QszOxmM7P69yn4f5ND7d7SziFU+sUlhVK/qP+efwLKnXPPNVMsJPpGS2IRKn3DzG4ws6j6912AO4FdjYqFRL+AlsUjVPqGc26ac66Pc64f/v9X1zvn/q1RsTbvG62+mLBz7oyZPQL8F/6n0JY553aY2cP1+xcDb+G/Q3438CWQ09rt6AxaGIsxwCQzOwOcALJd/SMEVxozy8f/lMj1ZlYNzMR/I2RI9QtoUSxCpl/g/2vyfuBv9fd3AEwHboGQ6xstiUWo9I2ewItm5sGfCKx2zr0Ziv+X1GtJPEKlbzSpvfuGZiIXERERCZBmIhcREREJkBIoERERkQApgRIREREJkBIoERERkQApgRIREZEril1iwfZGZf/Dzi7A/ImZ1bboHHoKT0RERK4kZpYBHMO/Hl7jGdsvdtz/AhKccxMuVVZXoEREROSK0tSC7Wb2bTP7TzMrNrNNZvadJg4dB+S35BytPpGmiIiISCe0FHjYOVdhZqnAC8CIr3ea2b8C0cD6llSmBEpERESuaPULdN8OrKlf7QYgolGxbGCtc66uJXUqgRIREZErXRhQ65zzXqRMNjAlkApFRERErljOuS+ASjMbC/6Fu80s/uv9ZnYr0AN4v6V1KoESERGRK0r9gu3vA7eaWbWZPQj8DHjQzEqBHcC95xwyDnglkMWXNY2BiIiISIB0BUpEREQkQEqgRERERAKkBEpEREQkQEqgRERERAKkBEpEREQkQEqgRERERAKkBEpEREQkQEqgRERERAL0/wGyTg0jnQhd5wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot.barh(stacked=True,figsize=(10,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sno</th>\n",
       "      <th>state_name</th>\n",
       "      <th>active</th>\n",
       "      <th>positive</th>\n",
       "      <th>cured</th>\n",
       "      <th>death</th>\n",
       "      <th>new_active</th>\n",
       "      <th>new_positive</th>\n",
       "      <th>new_cured</th>\n",
       "      <th>new_death</th>\n",
       "      <th>state_code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>Andaman and Nicobar Islands</td>\n",
       "      <td>79</td>\n",
       "      <td>4805</td>\n",
       "      <td>4665</td>\n",
       "      <td>61</td>\n",
       "      <td>84</td>\n",
       "      <td>4818</td>\n",
       "      <td>4673</td>\n",
       "      <td>61</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Andhra Pradesh</td>\n",
       "      <td>5078</td>\n",
       "      <td>875025</td>\n",
       "      <td>862895</td>\n",
       "      <td>7052</td>\n",
       "      <td>4966</td>\n",
       "      <td>875531</td>\n",
       "      <td>863508</td>\n",
       "      <td>7057</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Arunachal Pradesh</td>\n",
       "      <td>269</td>\n",
       "      <td>16509</td>\n",
       "      <td>16185</td>\n",
       "      <td>55</td>\n",
       "      <td>252</td>\n",
       "      <td>16513</td>\n",
       "      <td>16206</td>\n",
       "      <td>55</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Assam</td>\n",
       "      <td>3527</td>\n",
       "      <td>214584</td>\n",
       "      <td>210057</td>\n",
       "      <td>1000</td>\n",
       "      <td>3481</td>\n",
       "      <td>214657</td>\n",
       "      <td>210174</td>\n",
       "      <td>1002</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Bihar</td>\n",
       "      <td>5501</td>\n",
       "      <td>241776</td>\n",
       "      <td>234958</td>\n",
       "      <td>1317</td>\n",
       "      <td>5375</td>\n",
       "      <td>242224</td>\n",
       "      <td>235528</td>\n",
       "      <td>1321</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sno                   state_name  active  positive   cured  death  \\\n",
       "0    2  Andaman and Nicobar Islands      79      4805    4665     61   \n",
       "1    1               Andhra Pradesh    5078    875025  862895   7052   \n",
       "2    3            Arunachal Pradesh     269     16509   16185     55   \n",
       "3    4                        Assam    3527    214584  210057   1000   \n",
       "4    5                        Bihar    5501    241776  234958   1317   \n",
       "\n",
       "   new_active  new_positive  new_cured  new_death state_code  \n",
       "0          84          4818       4673         61         35  \n",
       "1        4966        875531     863508       7057         28  \n",
       "2         252         16513      16206         55         12  \n",
       "3        3481        214657     210174       1002         18  \n",
       "4        5375        242224     235528       1321         10  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=df.iloc[:-1,1:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state_name</th>\n",
       "      <th>active</th>\n",
       "      <th>positive</th>\n",
       "      <th>cured</th>\n",
       "      <th>death</th>\n",
       "      <th>new_active</th>\n",
       "      <th>new_positive</th>\n",
       "      <th>new_cured</th>\n",
       "      <th>new_death</th>\n",
       "      <th>state_code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Telengana</td>\n",
       "      <td>7630</td>\n",
       "      <td>277724</td>\n",
       "      <td>268601</td>\n",
       "      <td>1493</td>\n",
       "      <td>7380</td>\n",
       "      <td>278108</td>\n",
       "      <td>269232</td>\n",
       "      <td>1496</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Tripura</td>\n",
       "      <td>352</td>\n",
       "      <td>33038</td>\n",
       "      <td>32310</td>\n",
       "      <td>376</td>\n",
       "      <td>330</td>\n",
       "      <td>33048</td>\n",
       "      <td>32342</td>\n",
       "      <td>376</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Uttarakhand</td>\n",
       "      <td>6207</td>\n",
       "      <td>81939</td>\n",
       "      <td>74381</td>\n",
       "      <td>1351</td>\n",
       "      <td>6293</td>\n",
       "      <td>82429</td>\n",
       "      <td>74781</td>\n",
       "      <td>1355</td>\n",
       "      <td>05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Uttar Pradesh</td>\n",
       "      <td>20091</td>\n",
       "      <td>564132</td>\n",
       "      <td>535985</td>\n",
       "      <td>8056</td>\n",
       "      <td>19729</td>\n",
       "      <td>565556</td>\n",
       "      <td>537755</td>\n",
       "      <td>8072</td>\n",
       "      <td>09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>West Bengal</td>\n",
       "      <td>23034</td>\n",
       "      <td>519215</td>\n",
       "      <td>487171</td>\n",
       "      <td>9010</td>\n",
       "      <td>22573</td>\n",
       "      <td>521795</td>\n",
       "      <td>490165</td>\n",
       "      <td>9057</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       state_name  active  positive   cured  death  new_active  new_positive  \\\n",
       "31      Telengana    7630    277724  268601   1493        7380        278108   \n",
       "32        Tripura     352     33038   32310    376         330         33048   \n",
       "33    Uttarakhand    6207     81939   74381   1351        6293         82429   \n",
       "34  Uttar Pradesh   20091    564132  535985   8056       19729        565556   \n",
       "35    West Bengal   23034    519215  487171   9010       22573        521795   \n",
       "\n",
       "    new_cured  new_death state_code  \n",
       "31     269232       1496         36  \n",
       "32      32342        376         16  \n",
       "33      74781       1355         05  \n",
       "34     537755       8072         09  \n",
       "35     490165       9057         19  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "total_states = np.arange(len(df['state_name'])) \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "36"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df['state_name'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,\n",
       "       17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,\n",
       "       34, 35])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_states"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        79\n",
       "1      5078\n",
       "2       269\n",
       "3      3527\n",
       "4      5501\n",
       "5       815\n",
       "6     18640\n",
       "7        17\n",
       "8     17373\n",
       "9      1111\n",
       "10    13481\n",
       "11    10318\n",
       "12     7575\n",
       "13     4831\n",
       "14     1610\n",
       "15    18273\n",
       "16    60177\n",
       "17      763\n",
       "18        0\n",
       "19    12947\n",
       "20    74638\n",
       "21     3057\n",
       "22      641\n",
       "23      192\n",
       "24      610\n",
       "25     2879\n",
       "26      346\n",
       "27     7091\n",
       "28    16821\n",
       "29      364\n",
       "30    10208\n",
       "31     7630\n",
       "32      352\n",
       "33     6207\n",
       "34    20091\n",
       "35    23034\n",
       "Name: active, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['active']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        79\n",
       "1      5078\n",
       "2       269\n",
       "3      3527\n",
       "4      5501\n",
       "5       815\n",
       "6     18640\n",
       "7        17\n",
       "8     17373\n",
       "9      1111\n",
       "10    13481\n",
       "11    10318\n",
       "12     7575\n",
       "13     4831\n",
       "14     1610\n",
       "15    18273\n",
       "16    60177\n",
       "17      763\n",
       "18        0\n",
       "19    12947\n",
       "20    74638\n",
       "21     3057\n",
       "22      641\n",
       "23      192\n",
       "24      610\n",
       "25     2879\n",
       "26      346\n",
       "27     7091\n",
       "28    16821\n",
       "29      364\n",
       "30    10208\n",
       "31     7630\n",
       "32      352\n",
       "33     6207\n",
       "34    20091\n",
       "35    23034\n",
       "Name: active, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.active"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1876699"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max(df['positive'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Total Positive Cases Based On States In India "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.pyplot import figure\n",
    "figure(num=None, figsize=(9, 6), dpi=80, facecolor='w', edgecolor='k')\n",
    "plt.barh(total_states,df['positive'], align='center', alpha=0.5,  \n",
    "                 color=(1,0,0),  \n",
    "                 edgecolor=(0.5,0.2,0.8))\n",
    "    \n",
    "plt.yticks(total_states, df['state_name'])  \n",
    "plt.xlim(1,max(df['positive'])+100) \n",
    "plt.xlabel('Positive Number of Cases')  \n",
    "plt.title('Corona Virus Cases')  \n",
    "plt.show()  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Active Number of Cases based on States"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.pyplot import figure\n",
    "figure(num=None, figsize=(9, 6), dpi=80, facecolor='w', edgecolor='k')\n",
    "plt.barh(total_states,df['new_active'], align='center', alpha=0.5,  \n",
    "                 color=(1,0.5,0),  \n",
    "                 edgecolor=(0.5,0.4,0.8)  )\n",
    "    \n",
    "plt.yticks(total_states, df['state_name'])  \n",
    "plt.xlim(1,max(df['new_active'])+10) \n",
    "plt.xlabel('Active Number of Cases')  \n",
    "plt.title('Corona Virus Cases')  \n",
    "plt.show()  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.pyplot import figure\n",
    "figure(num=None, figsize=(9, 6), dpi=80, facecolor='w', edgecolor='k')\n",
    "plt.barh(total_states,df['death'], align='center', alpha=0.5,  \n",
    "                 color=(0,0,1),  \n",
    "                 edgecolor=(0.5,0.4,0.8)  )\n",
    "    \n",
    "plt.yticks(total_states, df['state_name'])  \n",
    "plt.xlim(1,max(df['death'])+10) \n",
    "plt.xlabel('Death Number of Cases')  \n",
    "plt.title('Corona Virus Cases')  \n",
    "plt.show()  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Stack All the columns in the bar chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['state_name', 'active', 'positive', 'cured', 'death', 'new_active',\n",
       "       'new_positive', 'new_cured', 'new_death', 'state_code'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=df.set_index('state_name',drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>active</th>\n",
       "      <th>positive</th>\n",
       "      <th>cured</th>\n",
       "      <th>death</th>\n",
       "      <th>new_active</th>\n",
       "      <th>new_positive</th>\n",
       "      <th>new_cured</th>\n",
       "      <th>new_death</th>\n",
       "      <th>state_code</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>state_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Andaman and Nicobar Islands</th>\n",
       "      <td>79</td>\n",
       "      <td>4805</td>\n",
       "      <td>4665</td>\n",
       "      <td>61</td>\n",
       "      <td>84</td>\n",
       "      <td>4818</td>\n",
       "      <td>4673</td>\n",
       "      <td>61</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andhra Pradesh</th>\n",
       "      <td>5078</td>\n",
       "      <td>875025</td>\n",
       "      <td>862895</td>\n",
       "      <td>7052</td>\n",
       "      <td>4966</td>\n",
       "      <td>875531</td>\n",
       "      <td>863508</td>\n",
       "      <td>7057</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arunachal Pradesh</th>\n",
       "      <td>269</td>\n",
       "      <td>16509</td>\n",
       "      <td>16185</td>\n",
       "      <td>55</td>\n",
       "      <td>252</td>\n",
       "      <td>16513</td>\n",
       "      <td>16206</td>\n",
       "      <td>55</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Assam</th>\n",
       "      <td>3527</td>\n",
       "      <td>214584</td>\n",
       "      <td>210057</td>\n",
       "      <td>1000</td>\n",
       "      <td>3481</td>\n",
       "      <td>214657</td>\n",
       "      <td>210174</td>\n",
       "      <td>1002</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bihar</th>\n",
       "      <td>5501</td>\n",
       "      <td>241776</td>\n",
       "      <td>234958</td>\n",
       "      <td>1317</td>\n",
       "      <td>5375</td>\n",
       "      <td>242224</td>\n",
       "      <td>235528</td>\n",
       "      <td>1321</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             active  positive   cured  death  new_active  \\\n",
       "state_name                                                                 \n",
       "Andaman and Nicobar Islands      79      4805    4665     61          84   \n",
       "Andhra Pradesh                 5078    875025  862895   7052        4966   \n",
       "Arunachal Pradesh               269     16509   16185     55         252   \n",
       "Assam                          3527    214584  210057   1000        3481   \n",
       "Bihar                          5501    241776  234958   1317        5375   \n",
       "\n",
       "                             new_positive  new_cured  new_death state_code  \n",
       "state_name                                                                  \n",
       "Andaman and Nicobar Islands          4818       4673         61         35  \n",
       "Andhra Pradesh                     875531     863508       7057         28  \n",
       "Arunachal Pradesh                   16513      16206         55         12  \n",
       "Assam                              214657     210174       1002         18  \n",
       "Bihar                              242224     235528       1321         10  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1c208daeb08>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Plotting Based on Stacking\n",
    "df.plot.barh( stacked=True,figsize=(10,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1c20958c208>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAzEAAAI/CAYAAABH61dEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAgAElEQVR4nOzde5iVZb3/8fengQRERgV0Yx6GElQCHGCBmqaYhzIyMzUsSsgUrW2mbbebX5aOqYlGWy3NYpfgKY+5jSRPoaSioDOAHNTMbCzErQJJogzC8P39se6B5bjmyJzWzOd1XXOt57mP32ddLi++676fZykiMDMzMzMzKxQfau8AzMzMzMzMmsJJjJmZmZmZFRQnMWZmZmZmVlCcxJiZmZmZWUFxEmNmZmZmZgXFSYyZmZmZmRWUbu0dgJm1nX79+kVJSUl7h2FmZmbWoIqKilUR0T9fnZMYsy6kpKSE8vLy9g7DzMzMrEGSXqmrztvJzMzMzMysoDiJMTMzMzOzguLtZNYpSboKeCUirk7nDwL/iIjT0vlPgFcj4r+bOO45wPSIeDdP3VxgALAe2A64KiKmb9OFNC22SiATEavqbLRyEZQVt1VIVqjK1rZ3BGZmZvVyEmOd1ZPAScDVkj4E9AP65NR/AjinGeOeA9wCfCCJSSZERLmknYG/SpoZEe81Yx4zMzMrcBs3bmTFihVUVVW1dygdWo8ePdh9993p3r17o/s4ibHOah5wVTr+OLAMGCBpJ7IJyH7AIgBJ/wl8iezqyf9GxEWStgfuBHYHioBLgF2B3YBHJa2KiMPrmb838A5QneY4Grg4zfFX4OsRsS6tntwIHAt0B06KiBck9Qd+A/QFngE+A4yKiFWS7gX2AHoA17Tlao+ZmZk13ooVK9hhhx0oKSlBUnuH0yFFBKtXr2bFihUMHDiw0f18T4x1ShGxEtgkaU+yqy5PAQuAg4AMsCQi3kvJxSBgDFAKjJJ0KNmkYWVE7B8RQ4EHIuKnwErg8HoSmFslLQH+DFwSEdWS+gHfB46MiJFAOfDdnD6rUvn1wHmp7CLgkVT+v8CeOe1PjYhR6TrOltS32W+UmZmZtZqqqir69u3rBKYekujbt2+TV6u8EmOd2TyyCcwngP8GPpKO15LdbgZwdPpblM57k01qHgemSboCuC8iHm/knDXbyfoDT0p6ABgGDAHmpf+JfZhsUlXjnvRaAXwxHR8CHA8QEQ9I+mdO+7MlHZ+O90jxrq4rIEmTgckARX36U1I1o5GXYl3WlNkNNqmcOq4NAjEzK3xOYBrWnPfIKzHWmT1JNmkZRnY72XyyKzGfIJvgAAi4PCJK09/eEfHriHgRGAUsBS6XdGFTJo6IN4GFwAFpjodz5hgSEd/Iab4hvVaz9YuFvJ9mSWOBI4GDImJ/sslXjwZimR4RmYjIFPXyTf1mZmbWNL/4xS+46aabAJg5cyYrV67cUnfaaafx3HPPtXlMXomxzmwe8B/AyxFRDayRtCPZe2ROT20eBC6RdGu6R+UjwEayn401EXGLpHXApNT+bWAHoO4ngAGSegEjgCuBvwPXSdo7Il5KdbunRKkuT5C9T+eKtOVtp1ReDPwzIt6VtC9wYKPfDTMzM2tXJY1Y6W6KtloVP/PMM7ccz5w5k6FDh7LbbrsB8Ktf/apNYqjNKzHWmS0l+1Sy+bXK1tY8hjgiHiJ7A/1TkpYCd5NNUoYBT0taDFwAXJr6Twful/RoHXPemvpUADMjoiKtykwCbkv3y8wH9m0g9ouBoyUtBI4BXiObQD0AdEvjXFLr2szMzMzep7Kykn333ZeJEycyfPhwTjzxRN59913mzJnDiBEjGDZsGKeeeiobNmQ3hkyZMoUhQ4YwfPhwzjsve6tuWVkZ06ZN4+6776a8vJwJEyZQWlrK+vXrGTt2LOXl5Vx//fWcf/75W+adOXMm3/72twG45ZZbGDNmDKWlpZxxxhlUV1dv83UpIrZ5EDNrWZK2A6ojYpOkg4DrI6J0W8fNZDJRXl6+7QGamZlZg55//nn222+/LeftsRJTWVnJwIEDeeKJJzj44IM59dRT+ehHP8ovf/lL5syZw+DBgznllFMYOXIkp5xyCgcddBAvvPACknjrrbfYcccdKSsro3fv3px33nmMHTuWadOmkclkALac77XXXhx00EG89NJLABxzzDFccMEF9O3bl/PPP5977rmH7t27861vfYsDDzyQU0455X1x1n6vACRVREQm33V5JcasY9oTeEbSs8BP2br9zczMzKxJ9thjDw4++GAAvvrVrzJnzhwGDhzI4MGDAZg4cSKPPfYYffr0oUePHpx22mncc8899OrVq9Fz9O/fn49+9KPMnz+f1atX8+c//5mDDz6YOXPmUFFRwejRoyktLWXOnDm8/PLL23xNvifGrAOKiL+QvafGzMzMbJs09ulf3bp14+mnn2bOnDncfvvtXHvttTzyyCONnmf8+PHceeed7Lvvvhx//PFIIiKYOHEil19+eXPDz8srMWZmZmZmndjf//53nnoq++sOt912G0ceeSSVlZVbtn7dfPPNHHbYYaxbt461a9fy2c9+lquvvprFixd/YKwddtiBt99+O+88X/ziF7n33nu57bbbGD9+PABHHHEEd999N2+88QYAa9as4ZVXXtnma/JKjJmZmZlZJ7bffvtx4403csYZZzBo0CCuueYaDjzwQE466SQ2bdrE6NGjOfPMM1mzZg3HHXccVVVVRARXXXXVB8aaNGkSZ555Jj179tySGNXYaaedGDJkCM899xxjxowBYMiQIVx66aUcffTRbN68me7du3Pdddex1157bdM1+cZ+sy7EN/abmZm1nXw3q7e1yspKPve5z7Fs2bJ2jaMhvrHfzMzMzMw6NW8ns4ImqQS4LyKG5pSVAesiYpqkScBDEbEy1Z0DTI+Id7dhzjKyTwt7k+xn6HsRMWsbxpsLnBcRTVoikTST7LXf3ehOKxdBWXGT4jNrtLK17R2BmZnVUlJS0uFXYZrDKzHW2U0Cdss5Pwdo/PMCAUlFeYqvSr/bchJwg6QP1erjLwjMzMzMWomTGOu0JJ0IZIBbJS2W9B2yCc2jkh5Nba6XVC5puaSLc/pWSrpQ0hNkE5W8IuJ5YBPQT9JMSf+dxr5C0hhJT0palF73SWP3lHS7pCWS7gB65sx7tKSnJC2UdJek3ql8qqTnUp9pOSEcmsZ+OV2vmZmZWafnb4ut04qIuyWdRc5WLUnnAodHxKrU7IKIWJNWW+ZIGh4RS1JdVUQcUt8ckg4ANpPdWgYwGDgyIqol9QEOjYhNko4EfgScAHwTeDcihksaDixMY/UDvp/6vyPpv4DvSroWOB7YNyJC0o45IQwADgH2BWYBjd9aZmZmZlagnMRYoavr8XqNfezelyRNJvtZGAAMAWqSmDvq6XeupK8CbwPjU3IBcFdEVKc2xcCNkgaleLqn8kOBnwJExBJJNfMdmOafl8b6MPAU8C+gCviVpNnAfTlx3BsRm4HnJO2aL9B0fZMBivr0p6RqRgNviVkzTZldb3Xl1HFtFIiZmXV23k5mhW41sFOtsp2BVXnavo+kgcB5wBERMRyYDfTIafJOPd2viojSiPhkRDxeR59LgEfTQweOrTV2viRLwMNp3NKIGBIR34iITcAY4LfAF4AHcvpsqNX/AyJiekRkIiJT1Ms39ZuZmVnLmjlzJmeddVabzumVGCtoEbFO0muSjoiIOZJ2Bj4DXJOavA3skNOl5nwV0Ids0rE2rWIcA8xtwfCKgVfT8aSc8seACWTvzRkKDE/l84HrJO0dES9J6gXsDqwEekXEHyTNB15qwRjNzMysrbT0E0Jb8amQ1dXVFBXle7ZRx+CVGOsMTgG+L2kx8AhwcUT8NdXNBH6RbuzvCUwH7pf0aEQ8CywClgM3APNaOK4rgcslzQNy/y9wPdA7bSM7H3gaICLeJJvs3Jbq5pO912UH4L5U9ifg3BaO08zMzDqxm266ieHDh7P//vvzta99jUmTJnH33Vtvo+3duzcAc+fO5fDDD+crX/kKw4YNA+CWW25hzJgxlJaWcsYZZ1Bdnd01P2PGDAYPHsxhhx3GvHkt/U+ohnklxgpeRDwHHF5H3W/JbsOq8bP0V1M/qY5+JfXMV1ZH+aRa50+RvdG/xg9S+Xrg5DrGeAQYnadqTCPm611XzDWGfaSYct+XYGZm1mUsX76cyy67jHnz5tGvXz/WrFnDd7/73TrbP/300yxbtoyBAwfy/PPPc8cddzBv3jy6d+/Ot771LW699VaOOuooLrroIioqKiguLubwww9nxIgRbXhVTmLMzMzMzDqtRx55hBNPPJF+/foBsPPOO9fbfsyYMQwcOBCAOXPmUFFRwejR2e9X169fzy677MKCBQsYO3Ys/fv3B2D8+PG8+OKLrXgVH+QkxszMzMysk4oI0lNPt+jWrRubN2/eUv/ee+9tqdt+++3f13fixIlcfvnl7+t/7733fmDMtuZ7YszMzMzMOqkjjjiCO++8k9WrVwOwZs0aSkpKqKioAOB3v/sdGzdurLPv3XffzRtvvLGl7yuvvMIBBxzA3LlzWb16NRs3buSuu+5qm4vJ4ZUYMzMzM7NO6uMf/zgXXHABhx12GEVFRYwYMYIrrriC4447jjFjxnDEEUe8b/Ul15AhQ7j00ks5+uij2bx5M927d+e6667jwAMPpKysjIMOOogBAwYwcuTILTf8txVFNPY3Ac2s0GUymSgvL2/vMMzMzLqE559/nv3226+9wygI+d4rSRURkcnX3tvJzMzMzMysoHg7mXVqkkqA+yJiaE5ZGbCO7A9ePhQRK1P5OcD0iHi3heaemea+u1Z5JZCJiFUtMU/OuJPSuHX/ZO7KRQX1Q1tmZmZm+XglxrqyScBuOefnAL2aMoCkjvtTtmZmZmadlJMY68oywK2SFkv6DtmE5lFJjwJIul5SuaTlki6u6SSpUtKFkp4ATpJ0uqRnJD0r6beSPpAISbpE0kxJNZ+5b0taKGmppH1TmzGSnpS0KL3uk8onSbpH0gOS/iLpypxxvy7pRUl/Ag5urTfKzMzMmsf3nzesOe+RkxjrysqBCRFRGhHXACuBwyPi8FR/QbqZbDhwmKThOX2rIuKQiLgduCciRkfE/sDzwDdyJ0lJxy7A1yNicypeFREjgeuB81LZC8ChETECuBD4Uc4wpcB4YBgwXtIekgYAF5NNXo4ChmzzO2JmZmYtpkePHqxevdqJTD0igtWrV9OjR48m9fM9MdbZ1fV/jcb83+RLkiaT/ZwMIJskLEl1d+S0GyrpUmBHoDfwYE7dD4AFETG51tj3pNcK4IvpuBi4UdKgFF/3nPZzImItgKTngL2AfsDciHgzld8BDK59EekaJgMU9elPSdWMRlx6E0yZDUDl1HEtO66ZmVmB23333VmxYgVvvvlme4fSofXo0YPdd9+9SX2cxFhntxrYqVbZzsDf6uskaSDZFZLREfHPdJN+7lcE7+QczwS+EBHPppvrx+bUPQOMkrRzRKzJKd+QXqvZ+jm8BHg0Io5PDySYm6d97T4NJmMRMR2YDrDdgEH+KsjMzKyNdO/enYEDB7Z3GJ2St5NZpxYR64DXJB0BIGln4DPAE8DbwA45zXPP+5BNVNZK2hU4pp5pdkhzdAcm1Kp7AJgKzJa0wwd6vl8x8Go6ntRAW4AFwFhJfdPcJzWij5mZmVnB80qMdQWnANdJ+kk6vzgi/ppWV34haT1wENnVivslvRYRh0taBCwHXgbm1TP+D8gmFK8AS3l/YkRE3JUSmFmSPlvPOFeS3U72XeCRhi4qIl5Lj4t+CngNWAj4aWlmZmbW6ck3Gpl1HZlMJsrLy9s7DDMzM7MGSapID1n6AG8nMzMzMzOzguIkxszMzMzMCoqTGDMzMzMzKyhOYszMzMzMrKA4iTEzMzMzs4LiJMbMzMzMzAqKfyfGbBtJ6gvMSaf/BlQDb6bzMRHxXk7bB4ETI+Ltto0yWbkIyorrb1O2tm1iMTMzM2smJzFm2ygiVgOlAOnHJ9dFxLTcNpJE9neZPt0Sc0rqFhGbWmIsMzMzs0Lj7WRmrUTS3pKWSfoFsBAYIGmFpB1T3XJJN0taKulOST1TvxWSdkzHB0r6Yzq+VNIvJT0MzJD0MUmPS1okqULSAe12sWZmZmZtyEmMWesaAvw6IkZExKt56q6LiGFAFXBGI8YbARwbEV8DXgOOiogRwATgpy0Yt5mZmVmH5e1kZq3rrxHxTB11f4uI+en4FmAycHUD4/0uIqrS8XbAtZL2BzYBH8vXQdLkNDZFffpTUjWj/hmmzKZy6rgGwjAzMzNrP16JMWtd79RTF3Wcb2LrZ7NHPeP9B/APYBgwhmxS88FJIqZHRCYiMkW9Grip38zMzKwAOIkxaz8DJY1Ox18GnkjHlcCodHxCPf2LgdciIoCJgFojSDMzM7OOxkmMWftZDpwuaQmwPTA9lZcBP5f0OPBeHX0BrgVOkzQf2AvY0IqxmpmZmXUYyn6Ja2ZtSdLewN0RUdqW82YymSgvL2/LKc3MzMyaRVJFRGTy1XklxszMzMzMCoqfTmbWDiLiJdIPZJqZmZlZ03glxszMzMzMCoqTGDMzMzMzKyhOYszMzMzMrKA4iTEzMzMzs4LiG/uty5PUF5iTTv8NqAbeTOdjIuIDv9UiaQUwNCLeapsoW8jKRVBW3N5RFI6yte0dgZmZmeXhJMa6vIhYTXpSmKQyYF1ETGvXoMzMzMysTt5OZlYPSRMlPS1psaSfS/rAZyZfG0ndJL0laaqkZyU9JWmX1H6QpAWpzyWS3krlfSQ9ImmhpCWSPpfK95a0TNKvJS2XdL+kHqnuTEnPpDnuktSzLd8fMzMzs/bgJMasDpKGAscDn4iIUrIrlyc3oU0x8KeI2B94Cjg1lf8MmBYRY4DXc4ZbDxwXESOBI4Grcur2Aa6OiI+ndl9I5XdFxOg0x1+BSdt84WZmZmYdnLeTmdXtSGA0UC4JoCfwjya0WR8R96fjCuCT6fgA4LPp+DfApelYwBWSDgE2A3tI6pfqXoqIpTljlaTj4ZJ+COwI7ADcV/siJE0GJgMU9elPSdWMRl6+MWX2lsPKqePaMRAzMzPL5STGrG4CboiIHzS1jaRuQO4DAapp+PN2CtnVm5ERsSk9PKBHqttQx1g3AcdExDJJpwEH1h40IqYD0wG2GzAoGojBzMzMrMPzdjKzuv0R+FLNaoikvpL2bEab2p4muwUN3r89rRh4IyUwRwEfaUSM2wP/J6k78JVGtDczMzMreE5izOqQtm9dDPxR0hLgIWDXprbJ42zgvyQ9DewC1DzH92bgE5LKgZOAvzQizAvJJkUPA8815rrMzMzMCp0ivLvErC1J2h54NyJC0leB4yPihLaYO5PJRHl5eVtMZWZmZrZNJFVERCZfne+JMWt7o4Gr0+Oa/wl8vZ3jMTMzMysoTmLM2lhEzCX9uKaZmZmZNZ3viTEzMzMzs4LiJMbMzMzMzAqKkxgzMzMzMysoTmLMzMzMzKyg+MZ+61Ik9QXmpNN/A6qBN9P5mIh4r5njHgCcHBHnSjoNGBoR59RqcxowHRgWEctT2QvAkRGxopHzHAmcFRFfaE6crFwEZcXN6mpmTVS2tuE2ZmbWLE5irEuJiNWkJ4NJKgPWRcS0Fhh3AbCgEU1XAN8DJmzrnGZmZmZdlbeTmSWSfi+pQtLytGqCpG6S3pL0Y0kLJT0o6QBJf5L0sqTPpnZHSrq3EdPcC4yUtHee+adLKk/zX5hTPk7SnyU9ARyXU36ppHNyzl+QtPs2vAVmZmZmBcFJjNlWEyNiFNkfo/yupJ1SeTHwUESMBN4DyoAjgJOAHzZxjs3Aj4H/l6duSvpV2v2BoyQNkdQL+CXwWeCTwG5NnM/MzMys0/F2MrOtzpX0+XS8O/AxYDGwPiIeTuVLgbURsUnSUqCkGfPcDPw/SXvWKv+ypG+Q/VzuBgwBegEvRsRfASTdCpzSlMkkTQYmAxT16U9J1YxmhGxmTTZldt7iyqnj2jgQM7POx0mMGVtumD8UODAi1qetWz1Sde7N/puBDTnHTf4MRcRGSVcB5+fMPwj4DtmHC7wl6Zac+aOOoTbx/tXUHvkaRcR0sg8UYLsBg+oay8zMzKxgeDuZWVYxsCYlMB8nu6WsNf0aOAbYOZ33Ad4G/iVpAPDpVP4cMFjSQEkCvpwzRiUwCkDSGGCPVo7ZzMzMrENwEmOWNRvoJelZ4EIa96SxZouIDcB1QP9UtJBswrIM+B9gXmr3LnAmcD/wOPByzjB3AbtKWgR8o1admZmZWaelCO8uMesqMplMlJeXt3cYZmZmZg2SVJEeevQBXokxMzMzM7OC4iTGzMzMzMwKipMYMzMzMzMrKE5izMzMzMysoDiJMTMzMzOzguIkxszMzMzMCoqTGLNWIOkCScslLZG0WNIBkn4laUiqX5enz1hJ9+Up/7ykKW0Rt5mZmVkh6NbeAZh1NpIOAj4HjIyIDZL6AR+OiNOaM15EzAJmtUhwKxdBWTGUrW2R4czMzMzag1dizFreAGBVRGwAiIhVEbFS0lxJ7/vBJkn9JD0laVyt8tGSFkn6qKRJkq5N5TMlXS/pUUkvSzpM0g2Snpc0s60u0MzMzKw9OYkxa3kPAXtIelHSzyUdlq+RpF2B2cCFETE7p/wTwC+A4yLi5TxddwI+BZwL/B64Cvg4MExSacteipmZmVnH4yTGrIVFxDpgFDAZeBO4Q9KkWs26A3OA8yPi4Zzy/YDpwLER8fc6pvh9RASwFHg9IpZGxGZgOVBSu7GkyZLKJZUvfqcvJVW/2YarMzMzM2t/TmLMWkFEVEfE3Ii4CDgLOKFWk01ABfDpWuWvAVXAiHqG35BeN+cc15x/4D63iJgeEZmIyBT1Km7CVZiZmZl1TE5izFqYpH0kDcopKgVeqdUsgFOBfWs9eewtYBzwI0ljWzVQMzMzswLlp5OZtbzewM8k7Uh2xeUlslvL7s5tFBHVkk4Gfi/pX8Bzqfx1SccC90s6tW1DNzMzM+v4lN1ab2ZdQSaTifLy8vYOw8zMzKxBkioiIpOvztvJzMzMzMysoDiJMTMzMzOzguIkxszMzMzMCoqTGDMzMzMzKyhOYszMzMzMrKA4iTEzMzMzs4LiJMYsh6RqSYslLZP0+/RbLw31ebKZc50jqVfO+brmjGNmZmbW1fh3YsxySFoXEb3T8Y3AixFxWSvNVQlkImJV7blbS2a3oiif3KpTdD5la9s7AjMzsy7JvxNj1jxPAR8BkNRb0hxJCyUtlXRcTaOaFZS62kjaXtJsSc+mFZ7xks4GdgMelfRozliXpXbzJe2ayo6VtEDSIkl/zCkvk3SDpLmSXk5jmpmZmXV6TmLM8pBUBBwBzEpFVcDxETESOBz4iSTV6lZXm88AKyNi/4gYCjwQET8FVgKHR8Thqf/2wPyI2B94DDg9lT8BHBgRI4DbgfNz5twX+DQwBrhIUvcWegvMzMzMOqxu7R2AWQfTU9JioASoAB5O5QJ+JOlQYDPZFZpdgf/L6VtXm6XANElXAPdFxON1zP0ecF86rgCOSse7A3dIGgB8GPhbTp/ZEbEB2CDpjTTfitxBJU0GJgMU9elPSdWMRr4VBsCU2R8oqpw6rh0CMTMzsxpeiTF7v/URUQrsRTZh+PdUPgHoD4xK9a8DPWr1zdsmIl4ERpFNZi6XdGEdc2+MrTepVbP1S4afAddGxDDgjFrzbsg5zu2zRURMj4hMRGSKehXXf/VmZmZmBcBJjFkeEbEWOBs4L23RKgbeiIiNkg4nm+TUlreNpN2AdyPiFmAaMDK1fxvYoRHhFAOvpuOJzb0mMzMzs87C28nM6hARiyQ9C5wM3Ar8XlI5sBh4Ibdpeq2rzTDgx5I2AxuBb6by6cD9kl7LuS8mnzLgLkmvAvOBgdt8cWZmZmYFzI9YNtsGkvoCCyMi38pMh5PJZKK8vLy9wzAzMzNrkB+xbNYK0jaxp8huETMzMzOzNuLtZGbNFBErgcHtHYeZmZlZV+OVGDMzMzMzKyhOYszMzMzMrKA4iTEzMzMzs4LiJMbMzMzMzAqKkxgzMzMzMysofjqZWQuSVA0sJfvZeh6YGBHvNmOcDHBKRJxdT5tJQCYizmr0wCsXQVlxU8Npe2Vr2zsCMzMz68C8EmPWstZHRGlEDAXeA85sziARUV5fAmNmZmbWlTmJMWs9jwN7SyqRtKymUNJ5ksrS8VxJV0h6WtKLkj6ZysdKui8dj5H0pKRF6XWfnDn2kPSApD9LuqgNr83MzMys3TiJMWsFkroBx5DdWtaQbhExBjgHyJeIvAAcGhEjgAuBH+XUjQEmAKXASWkbmpmZmVmn5ntizFpWT0mL0/HjwK+B3Rroc096rQBK8tQXAzdKGgQE0D2n7uGIWA0g6R7gEKA8t7OkycBkgKI+/SmpmtHoi2k3U2ZvOaycOq4dAzEzM7OOyEmMWctaHxGluQWSNvH+Vc8etfpsSK/V5P9MXgI8GhHHSyoB5ubURa22tc+JiOnAdIDtBgz6QL2ZmZlZofF2MrPW9zqwi6S+krYDPtfE/sXAq+l4Uq26oyTtLKkn8AVg3jZFamZmZlYAvBJj1soiYqOkHwILgL+RvcelUV3T65Vkt5N9F3ikVpsngJuBvYHfREQ59Rj2kWLKvT3LzMzMCpwivLvErKORdALw+YiY2JLjZjKZKC+vN88xMzMz6xAkVURE3ocWeSXGrIOR9HngMuDU9o7FzMzMrCNyEmPWwUTELGBWe8dhZmZm1lH5xn4zMzMzMysoTmLMzMzMzKygOIkxMzMzM7OC4iTGzMzMzMwKim/sty5HUjWwlOx//88DEyPi3Ub2LQHui4ihzZi3DFgXEdOa2rfFrFwEZcWNa1u2tnVjMTMzM2smr8RYV7Q+IkpTIvIecGZ7B9QYkorqOzczMzPrKpzEWFf3OLC3pBJJy2oKJZ2XVk6QNErSs5KeAv49p80kSdfmnN8naWw6/oykhanfnJz5hkiaK+llSWfn9P2qpKclLZb0y5oERdI6ST+UtAA4SFKlpAslPQFMkbQwZ4xBkipa+P0xM8+nD3oAACAASURBVDMz63CcxFiXJakbcAzZrWX1mQGcHREHNXLc/sD/ACdExP7ASTnV+wKfBsYAF0nqLmk/YDxwcESUAtXAhNR+e2BZRBwQEU+ksqqIOCQiLgPWSipN5V8HZjYmRjMzM7NC5ntirCvqKWlxOn4c+DWwW76GkoqBHSPiT6noZrKJT30OBB6LiL8BRMSanLrZEbEB2CDpDWBX4AhgFPCMJICewBupfTXw21rj35Fz/Cvg65K+SzYRGpPnGiYDkwGK+vSnpGpGA+FnVTaqlZmZmVnbcxJjXdH6tOKxhaRNvH9lskdNFRB1jNOcPhtyjqvJfgYF3BgR/y9P+6qIqK5V9k7O8W+Bi4BHgIqIWF17gIiYDkwH2G7AoLriMjMzMysY3k5mlvU6sIukvpK2Az4HEBFvkd2ydUhqNyGnTyVQKulDkvZg6yrIU8BhkgYCSNq5gbnnACdK2qWmvaS9GhN0RFQBDwLXk932ZmZmZtbpeSXGDIiIjZJ+CCwA/ga8kFP9deAGSe+STRhqzEttlwLLgIVprDfTFq57JH2I7Nawo+qZ+zlJ3wceSu03kn2AwCuNDP9W4IvAQw01HPaRYsqnjmvksGZmZmYdkyK8u8SskEk6DyiOiB801DaTyUR5eXkbRGVmZma2bSRVREQmX51XYswKmKT/BT4GfKq9YzEzMzNrK05izApYRBzf3jGYmZmZtTXf2G9mZmZmZgXFSYyZmZmZmRUUJzFmZmZmZlZQnMSYmZmZmVlB8Y39Zi1I0u7AdcAQsl8S3Af8Z0S8V6vdXOC8iCiX9AfgK+mHNfONWQlkImLVNge4chGUFW/zMNaAsrXtHYGZmVmn5pUYsxYiScA9wL0RMQgYDPQGLquvX0R8tq4ExszMzMw+yEmMWcv5FFAVETMAIqIaOBc4VdL2km6XtETSHUDPmk6SKiX1S21mS3pW0jJJ43PG/rakhZKWSto39Rsj6UlJi9LrPm14rWZmZmbtxtvJzFrOx4GK3IKI+JekvwP/AbwbEcMlDQcW5un/GWBlRIwDkJS772tVRIyU9C3gPOA04AXg0IjYJOlI4EfACS1+VWZmZmYdjJMYs5YjIOooP4y0rSwilkhakqfdUmCapCuA+yLi8Zy6e9JrBfDFdFwM3ChpUJq3e96gpMnAZICiPv0pqZrRpIuyZpgyG4DKqePaORAzM7POydvJzFrOciCTWyCpD7AHUE3+BGeLiHgRGEU2mblc0oU51RvSazVbv3y4BHg0IoYCxwI96hh3ekRkIiJT1Ms39ZuZmVnhcxJj1nLmAL0knQIgqQj4CTATeACYkMqHAsNrd5a0G9ktZ7cA04CRDcxXDLyajidte/hmZmZmhcFJjFkLiYgAjgdOkvQX4EWgCvgecD3QO20jOx94Os8Qw4CnJS0GLgAubWDKK8mu2MwDilrmKszMzMw6PmX/3WVmXUEmk4ny8vL2DsPMzMysQZIqIiKTr84rMWZmZmZmVlCcxJiZmZmZWUFxEmNmZmZmZgXFSYyZmZmZmRUUJzFmZmZmZlZQnMSYmZmZmVlBcRJjloekkPSTnPPzJJW1wjyVkvq10FjrGmy0chGUFWf/zMzMzAqUkxiz/DYAX2ypBMPMzMzMWo6TGLP8NgHTgXNrV0g6VtICSYsk/VHSrqm8v6SHJS2U9EtJr9QkQZLulVQhabmkyfkmrKuNpHWSLpP0rKT5OfMNlPSUpGckXdIab4KZmZlZR+Qkxqxu1wETJNXee/UEcGBEjABuB85P5RcBj0TESOB/gT1z+pwaEaOADHC2pL555qurzfbA/IjYH3gMOD2VXwNcHxGjgf/blgs1MzMzKyROYszqEBH/Am4Czq5VtTvwoKSlwH8CH0/lh5BNaoiIB4B/5vQ5W9KzwHxgD2BQninravMecF86rgBK0vHBwG3p+Oa6rkPSZEnlksoXv9OXkqrfZP+mzK7z2s3MzMw6MicxZvW7GvgG2dWQGj8Dro2IYcAZQI9UrnwDSBoLHAkclFZTFuX0aUybjRER6bga6JbTNWhAREyPiExEZIp6+YZ+MzMzK3xOYszqERFrgDvJJjI1ioFX0/HEnPIngC8BSDoa2Cmn/T8j4l1J+wIH5pmqMW1qmwecnI4nNKK9mZmZWafgJMasYT8Bcp9SVgbcJelxYFVO+cXA0ZIWAscArwFvAw8A3SQtAS4hu12stsa0qe07wL9LeoZsEmRmZmbWJWjrLhUz2xaStgOqI2KTpIPI3nRf2t5x5cpkMlFeXt7eYZiZmZk1SFJFRGTy1XXLV2hmzbIncKekD5G9Gf/0BtqbmZmZWTM4iTFrIRHxF2BEe8dhZmZm1tn5nhgzMzMzMysoTmLMzMzMzKygOIkxMzMzM7OC4iTGzMzMzMwKipMYsyaQFJJuzjnvJulNSfel889LmtJ+ETZg5aL2jsDMzMxsm/npZGZN8w4wVFLPiFgPHAW8WlMZEbOAWdsygaRuEbFp28I0MzMz67y8EmPWdPcD49Lxl4HbaiokTZJ0bTpenPO3XtJhknaWdK+kJZLmSxqe2pZJmi7pIeAmSSWSHpe0MP19IrUbK+lPku6U9KKkqZImSHpa0lJJH2vbt8LMzMys7TmJMWu624GTJfUAhgML8jWKiNKIKAV+AJQDTwIXA4siYjjwPeCmnC6jgOMi4ivAG8BRETESGA/8NKfd/sB3gGHA14DBETEG+BXw7Ra7SjMzM7MOytvJzJooIpZIKiG7CvOH+tpKGgT8GPhURGyUdAhwQhrnEUl9JRWn5rPSFjWA7sC1kkqBamBwzrDPRMRrafy/Ag+l8qXA4XlimAxMBijq07+JV2tmZmbW8TiJMWueWcA0YCzQN18DSdsDdwKnR8TKmuI8TSO9vpNTdi7wOtlVlw8BVTl1G3KON+ecbybPZzoipgPTAbYbMChq15uZmZkVGm8nM2ueG4AfRsTSetrMAGZExOM5ZY8BEyB7fwuwKiL+ladvMfBaRGwmu2WsqEWiNjMzM+sEvBJj1gwRsQK4pq56SXsBJwKDJZ2aik8DyoAZkpYA7wIT6xji58BvJZ0EPMr7V2nMzMzMujRFeHeJWVeRyWSivLy8vcMwMzMza5CkiojI5KvzdjIzMzMzMysoTmLMzMzMzKygOIkxMzMzM7OC4iTGzMzMzMwKipMYMzMzMzMrKE5izMzMzMysoDiJsS5NUki6Oee8m6Q3Jd23DWOua2L7SZKube58TbJyEZQVb/0zMzMzK0BOYqyrewcYKqlnOj8KeLUd4zEzMzOzBjiJMYP7gXHp+MvAbTUVkraXdIOkZyQtknRcKu8l6U5JSyTdIWmBpExOv8skPStpvqRdU9mxqd0iSX+sKc+Vr42kD0n6i6T+qc2HJL0kqV9jxjQzMzPrbJzEmMHtwMmSegDDgQU5dRcAj0TEaOBw4MeStge+BfwzIoYDlwCjcvpsD8yPiP2Bx4DTU/kTwIERMSLNeX6eWD7QJiI2A7cAE1KbI4FnI2JVI8c0MzMz61S6tXcAZu0tIpZIKiG7CvOHWtVHA5+XdF467wHsCRwCXJP6L5O0JKfPe0DNPTUVZLeoAewO3CFpAPBh4G95wqmrzQ3A74CrgVOBGY0dU9JkYDJAUZ/+lFTN2FJXmScAMzMzs47OKzFmWbOAaeRsJUsEnBARpelvz4h4PpXXZWNERDquZuuXBT8Dro2IYcAZZBOi2vK2iYh/AK9L+hRwANktcI0aMyKmR0QmIjJFvXwzv5mZmRU+JzFmWTcAP4yIpbXKHwS+LUkAkkak8ieAL6WyIcCwRsxRzNaHBkxsRptfkd1WdmdEVDdhTDMzM7NOxUmMGRARKyLimjxVlwDdgSWSlqVzgJ8D/dM2sv8ClgBrG5imDLhL0uPAqma0mQX0ZutWssaOaWZmZtapaOuuFzNrLElFQPeIqJL0MWAOMDgi3mvFOTPAVRHxyeaOkclkory8vAWjMjMzM2sdkioiIpOvzjf2mzVPL+BRSd3J3h/zzVZOYKYA32TrE8rMzMzMuiwnMWbNEBFvA3m/GWil+aYCU9tqPjMzM7OOzPfEmJmZmZlZQXESY2ZmZmZmBcVJjJmZmZmZFRQnMWZmZmZmVlB8Y79ZE0kK4JaI+Fo67wa8BiyIiM81c8w/AF+JiLdaLtI8Vi6CsuL8dWUN/cyNmZmZWcfglRizpnsHGCqpZzo/Cnh1WwaMiM+2RAKTEiozMzOzTs1JjFnz3A+MS8dfBm6rqZA0RtKTkhal131S+SRJ90h6QNJfJF2Z06dSUj9JJZJekHSjpCWS7pbUK7dNOs5ImpuOyyRNl/QQcFObXL2ZmZlZO3ISY9Y8twMnS+oBDAcW5NS9ABwaESOAC4Ef5dSVAuOBYcB4SXvkGXsfYHpEDAf+BXyrEfGMAo6LiK80+UrMzMzMCoy3npg1Q0QskVRCdhXmD7Wqi4EbJQ0CAuieUzcnItYCSHoO2Av4R63+/4iIeen4FuBsYFoDIc2KiPX5KiRNBiYDFPXpT0nVjPwjTJlN5dRx+evMzMzMOhCvxJg13yyyycVttcovAR6NiKHAsUCPnLoNOcfV5P8iIeo438TWz2yPWm3eqSvIiJgeEZmIyBT1quOmfjMzM7MC4iTGrPluAH4YEUtrlRez9Ub/Sc0Yd09JB6XjLwNPpONKstvGAE5oxrhmZmZmnYKTGLNmiogVEXFNnqorgcslzQOKmjH088BESUuAnYHrU/nFwDWSHie7imNmZmbWJSmi9s4VM2sv6T6b+9JWtBaXyWSivLy8NYY2MzMza1GSKiIik6/OKzFmZmZmZlZQ/HQysw4kIiqBVlmFMTMzM+ssvBJjZmZmZmYFxUmMmZmZmZkVFCcxZmZmZmZWUJzEmJmZmZlZQfGN/dZpSQrgloj4WjrvBrwGLIiIz9XTbxKQiYiz2ijOOueT9L2I+FGLTbZyEZQVt9hwZmZm1kbK1rZ3BB2KV2KsM3sHGCqpZzo/Cni1tSeV1JwfuKzL9+qYQ5L8+TUzM7Muyf8Iss7ufmBcOv4ycFtNhaQxkp6UtCi97pPTbzdJD0j6i6Qrc/pcL6lc0nJJF+eUV0q6UNITwEmSTpf0jKRnJf1WUq/U7iRJy1L5Y/XNJ2kq0FPSYkm3SiqR9LyknwMLgT3qisfMzMysM3MSY53d7cDJknoAw4EFOXUvAIdGxAjgQiB321YpMB4YBoyXtEcqvyD9cuxw4DBJw3P6VEXEIRFxO3BPRIyOiP2B54FvpDYXAp9O5Z+vb76ImAKsj4jSiJiQ2u0D3BQRIyLilQbiMTMzM+uUfE+MdWoRsURSCdlVmD/Uqi4GbpQ0CAige07dnIhYCyDpOWAv4B/AlyRNJvvZGQAMAZakPnfk9B8q6VJgR6A38GAqnwfMlHQncE8j5qvtlYiYn3NeXzyk8SYDkwGK+vSnpGpGnmHNzMysQ5syu70j2KJy6riGG7Uyr8RYVzALmEbOVrLkEuDRiBgKHAv0yKnbkHNcDXSTNBA4DzgiIoYDs2v1eSfneCZwVkQMAy6uaRcRZwLfB/YAFkvqW9d8dVzLljkaEQ9pzukRkYmITFEv39RvZmZmhc9JjHUFNwA/jIiltcqL2Xqj/6RGjNOHbBKxVtKuwDH1tN0BeE1Sd6BmKxiSPhYRCyLiQmAV2WSmPhvTGNsaj5mZmVmn4STGOr2IWBER1+SpuhK4XNI8oMEnikXEs8AiYDnZxGhePc1/QPb+m4fJ3ntT48eSlkpaBjwGPNvAtNOBJZJu3cZ4zMzMzDoNRUR7x2BmbSSTyUR5eXl7h2FmZmbWIEkV6QFGH+CVGDMzMzMzKyhOYszMzMzMrKA4iTEzMzMzs4LiJMbMzMzMzAqKkxgzMzMzMysoTmLMzMzMzKygNJjESBosaU76XQskDZf0/dYPzboaSSHp5pzzbpLelHRfE8eZKymTjte1QpyTUlyLJT0n6fRtHG+mpBOb0a9M0nnbMreZmZlZIerWiDb/A/wn8EuAiFgi6TfApa0ZmHVJ7wBDJfWMiPXAUcCr7RxTXe6IiLMk7QIslzQrIl6vqZTULSI2tWN8+a1cBGXF7R1F2yhb294RmJmZWStpzHayXhHxdK2yjvePM+ss7gfGpeMvA7fVVEgaI+lJSYvS6z6pvKek2yUtkXQH0DN3QEmXSXpW0nxJu0raQdLfJHVP9X0kVUrqLul0Sc+k9r+V1Ku+YCPiDeCvwF5pZWS6pIeAmySVSHpc0sL094k0nyRdm1ZxZgO75MQ6StKfJFVIelDSgFR+dmq/RNLtOSEMSStPL0s6u1nvuJmZmVmBaUwSs0rSx4AASNteXmvVqKwrux04WVIPYDiwIKfuBeDQiBgBXAj8KJV/E3g3IoYDlwGjcvpsD8yPiP2Bx4DTI+JtYC5bk6WTgd9GxEbgnogYndo/D3yjvmAlfRT4KPBSKhoFHBcRXwHeAI6KiJHAeOCnqc3xwD7AMOB0oCa56Q78DDgxIkYBN6TrAZgCjEjXeGZOCPsCnwbGABfVJGZmZmZmnVljtpP9OzAd2FfSq8DfgK+2alTWZaXtiiVkV2H+UKu6GLhR0iCySXXNP9gPJSUIqf+SnD7vATX31FSQ3aIG8CvgfOBe4OtkkwnIbme7FNgR6A08WEeo4yUdAmwAzoiINZIAZqWtcKT4rpVUClQDg3PivS0iqoGVkh5J5fsAQ4GH01hFbP3CYAlwq6R7U8w1ZkfEBmCDpDeAXYEVuYFKmgxMBijq05+Sqhl1XFInM2X2+04rp46ro6GZmZkVmgaTmIh4GThS0vbAh9K32GataRYwDRgL9M0pvwR4NCKOT4nO3Jy6qGOsjRFRU1dN+m8+Iual7V6HAUURsSy1mQl8ISKelTQpxZDPHRFxVp7yd3KOzwVeB/Ynu+pZ1UC8ApZHxP9n796j5CrrfP+/PzRIEkMagcigIsERhoMEghQMyEUieOGmoigqR4k6RBwxg4oMRwdovCLjiEgEJngMoqj8FEQwDqDIHYF0SEgIgsxgHLkcEYGMARIg+fz+2E+boqm+pS/V1fm81srqXc/1uyvda9W3nmfvvVeDukOokp+3AidLek0pX1XX5q/nV8/2HKovIth4q+16ep8iIiIiWkZ/7k62adlr/3ngi5K+IekbffWLGIRvA5+zvaRbeTtrL/SfUVd+A3AUgKSdqLah9ceFVNfc1C9NbAI8XLZlHTWwsF+gHXjY9hrg/VQrK13xvkdSW7nmZXopvxeYLGkvqLaXSXqNpA2ArW1fS7V61LVKFBEREbFe6s81MT8HpgBLqLbjdP2LGBa2H7B9VoOqM4AvS7qZtQkBwLnAxLKN7ESg+40oenIR8BLqbh4AnEx1Hc4vqK7BGYxzgKMl3Uq1laxrleYnwH1Uf1PnAtcD2H4GOAL4iqQ7gUVU18u0Ad+TtARYCJxp+4lBxhYRERHRsrR2p00PDaQ7yoXJEWNKuUnF22y/v9mxjJRarebOzs5mhxERERHRJ0kLbNca1fXnwv7vlof5/Yy6/fe2Hxui+CJGnKSzgYOAg5sdS0REREQMTH+SmGeAfwU+y9qLkU11W9mIlmT7482OISIiIiLWTX+SmE8Cr7b96HAHExERERER0Zf+XNi/FHhquAOJiIiIiIjoj/6sxKwGFkm6ludfEzNr2KKKiIiIiIjoQX+SmO5PCI+IiIiIiGiaPpMY298ZiUAiBkPSCtv9egCkpA5ghe2vDmXbHvrPAGq2j1uX/hERERHxQn0mMZK2A74M7AiM6yq3nbuTRURERETEiOvPhf1zqZ4q/hwwHbgQ+O5wBhUxFCQdJuk2SQsl/VLSlg3aHCPpPySNlzRL0t2SFkv6YV2zHSVdJ+l+SbPq+l4maYGkpZJm1pV/UNJvJV0P7F3K2kp/SdpU0hpJ+5W6GyW9WtKLJX1b0vwS89vq+v5rKV8s6SOlfH9JN0j6SYn7PEn9+ZuOiIiIaGn9uSZmvO1rJMn274EOSTcCpw5zbBGDdROwp21L+gfgROBTXZWSjgPeBLzd9ipJJwHbluNN68bZgSqB3wS4V9K5tp8FPmT7MUnjgfmSLgFeBJwG7AYsB64FFtpeLem3VCua2wILgH0l3Qa8wvZ/SvoS8CvbHyrz3y7pl8BRwHLbu0vaGLhZ0tUltj3KmL8HrgTeAfx4aN/GiIiIiNGlP0nMyvLt7n3lQ9+DwEuHN6yIIfEK4GJJW1ElF7+rq3s/8ABVAvNsKVsMXCSp+80s5tleBayS9AiwZek7S9Lhpc3WwHbA3wDX2f4TgKSLge1LmxuB/aiSmC8DxwDXA/NL/ZuAt0o6obweB7yylO8s6YhS3l7mega43fb9Za4fAPvQLYkpq0QzAV75ylf2422LiIiIGN36s/XkeGACMIvq2+X3A0cPZ1ARQ+RsYLbtqcBHqLumC7gLmEKV6HQ5BPgm1e/5AkldSf6qujargQ0l7Q8cCOxlexdgYd347iGeG4F9qVZPfg5sCuwP3FDqBbzT9rTy75W2f1PKP15Xvq3trpWY7nO9YG7bc2zXbNcmT57cQ2gRERERraPPJMb2fNsrbD9g+4O232H71pEILmKQ2qlWDuGFifdCqsTmckkvK6uNW9u+lmrb2aZAb3c7awcet/2UpB2APUv5bcD+kjaXtBHwrro+twGvA9bYXgksKjHcWOqvAj4uSQCSdq0r/2gZD0nbS3pxqdtD0rYl/iOpttBFREREjGn9uTvZ9sCngW3q29t+wzDGFTFQEyQ9UPf6a0AH8CNJDwK3Um3j+ivbN5WtW/Ootmx9T1I71crHmbafKPlEI1cCx0paDNxbxsf2w+W2zL8GHgbuANpK3SpJf+hqS5W8vBdYUl5/Hvg6sLgkMsuAQ4FvUa0a3VHK/wS8vfT5NXA6MJVqRecnfb9VEREREa1Ndk87X0oD6U7gPKoLkVd3ldteMLyhRURvypa2E2wf2t8+tVrNnZ2dwxdURERExBCRtMB2rVFdfy7sf872uUMcU0RERERExDrpz4X9V0j6R0lbSdqs69+wRxYRvbJ93UBWYSIiIiLGiv6sxHRdEP3pujIDrxr6cCIiIiIiInrXZxJje9ve6iW90fYvhi6kiIiIiIiInvVnO1lfvjIEY0RERERERPTLUCQxPd6DNiIiIiIiYqgNRRLT+z2aIyIiIiIihtBQJDER6z1JKwbRd5mkLQY6vqT9Jf1sQJM9tBA62qt/ERERES1qKJKYZUMwRkRERERERL/0mcRImiDpZEnnl9fbSfrrsylsv2M4A4xoVZIOk3SbpIWSfilpy1K+uaSrS/m/U3ddmaTLJC2QtFTSzAZjbiHp15IOKUUTJf1Y0j2SLpKUa9QiIiJizOvPSsxcYBWwV3n9APCFYYsoYuy4CdjT9q7AD4ETS/mpwE2l/HLglXV9PmR7N6AGzJK0eVdFSYLmAafYnleKdwWOB3akenbT3sN4PhERERGjQn8edvm3to+U9F4A20/n296IfnkFcLGkrYAXAb8r5fsB7wCwPU/S43V9Zkk6vBxvDWwH/BnYCLgG+Jjt6+va3277AQBJi4ApVMnTX5UVnZkAbZMmM2XlXCD7QCMiIqJ19Wcl5hlJ4yl3IZP0t1QrMxHRu7OB2banAh8BxtXVveCufpL2Bw4E9rK9C7Cwrs9zwALgzd261f8trqbBFxO259iu2a61TcgF/REREdH6+pPEdABXAltLuojq2+B/Hs6gIsaIduDBcnx0XfkNwFEAkg4CXlLX/nHbT0naAdizro+BDwE7SDppWKOOiIiIGOX63E5m+2pJC6g+UAn4J9uPDntkEa1lgqQH6l5/jeoLgB9JehC4Fdi21J0G/EDSHcD1wH+X8iuBYyUtBu4tff7K9mpJ7wGukPQ/wN0DDXLqy9vpPP2QvhtGREREjGKye39WpaRrbB/QV1lEjH61Ws2dnZ3NDiMiIiKiT5IW2K41qutxJUbSOGACsIWkl7D2NrCTgJcNeZQRERERERH90Nt2so9Q3br1ZVQXFHclMf8DfHOY44qIiIiIiGioxyTG9lnAWZI+bvvsEYwpIiIiIiKiR/25sP9sSTtRPUxvXF35hcMZWERERERERCN9JjGSTgX2p0pifg4cRPUwvSQxEREREREx4vrznJgjgAOA/2f7g8AuwMbDGlVEREREREQP+lyJAZ62vUbSc5ImAY8ArxrmuCJamqQVtieW44OBs4ADbP937z37HHcK8DPbO63TAA8thI72wYQQMTI6ljc7goiIGMX6k8R0StoUOJ/qLmUrgNuHNaqIMULSAcDZwJv6m8BI2tD2c8MbWURERETr6s+F/f9YDs+TdCUwyfbi4Q0rovVJ2pcq+T/Y9n+VssnAecArS7Pjbd8sqYPqduZTgEclfQb4LvDi0u4427d0G39KX20iIiIixqL+XNh/je0DAGwv614WEQ1tDPwU2N/2PXXlZwFn2r5J0iuBq4D/Vep2A/ax/bSkCcAbba+UtB3wA6D7E2sf6UebiIiIiDGnxyRG0jhgArCFpJew9mGXk6i+MY6Inj0L3AJ8GPinuvIDgR2lrj8nJknapBxfbvvpcrwRMFvSNGA1sH2DOfrTBkkzgZkAbZMmM2Xl3HU+qYgRc9K8QQ+x7PRDhiCQiIgYjXpbifkIcDxVwrKAKokx8Bdg9vCHFtHS1gDvBn4p6TO2v1TKNwD2qktWAChJzZN1RZ8A/kh1N8ANgJUN5uhPG2zPAeYAbLzVdl7H84mIiIgYNXq8xbLts2xvC3wRmFaO5wL3A78eofgiWpbtp4BDgaMkfbgUXw0c19WmrKI00g48bHsN8H6gbR3bRERERIw5/bk72RG2PydpH+CNwL8B5wJ/P6yRRYwBth+T9BbgBkmPArOAb0paTPX3dwNwbIOu5wCXSHoXcC3PX6UZSJvnmfrydjqzxSYiIiJanOzed5dIWmh7V0lfBpbY/n5X2ciEGBFDpVarubOzYMhREgAAIABJREFUs9lhRERERPRJ0gLbDW9a1ON2sjoPSvp3qv39P5e0cT/7RUREREREDLn+JCPvproN7FtsPwFsBnx6WKOKiIiIiIjoQX8edvkUcGnd64eBh4czqIiIiIiIiJ5kW1hERERERLSUJDEREREREdFSksRERERERERL6c9zYiLWC5JW2J5Yjg8GzgIOsP3fwzjn8cCccu1Zb+2WATXbjw5qwocWQkf7oIaIiFGoY3mzI4iIGFFZiYnoRtIBwNlUd+TrVwIjaV2/EDgemLCOfSMiIiLWS0liIupI2hc4HzjE9n+VssMk3SZpoaRfStqylHdImiPpauBCSTMkXSrpSkn3STqjbtxzJXVKWirptFI2C3gZcK2ka3tq1y2+8WX8Y8rryyQtKO1nDvPbExERETEqZDtZxFobAz8F9rd9T135TcCeti3pH4ATgU+Vut2AfWw/LWkGMA3YFVgF3CvpbNt/AD5r+zFJbcA1kna2/Q1JnwSm120Ta9RucambCPwQuND2haXsQ6X9eGC+pEts/3kY3puIiIiIUSNJTMRazwK3AB8G/qmu/BXAxZK2Al4E/K6u7nLbT9e9vsb2cgBJdwPbAH8A3l1WSjYEtgJ2BBbzQr21+ylwhu2L6trPknR4Od4a2A54XhJTxpsJ0DZpMlNWzu3rfYiIVnPSvF6rl51+yAgFEhExMrKdLGKtNcC7gd0lfaau/Gxgtu2pwEeAcXV1T3YbY1Xd8WpgQ0nbAidQ3SRgZ2BetzEA6Ee7m4GDJKm03x84ENjL9i7Awkbj2p5ju2a71jYhF/VHRERE60sSE1Gn3CXsUOAoSR8uxe3Ag+X46HUYdhJVsrO8XE9zUF3dX4BN+tEO4BSqVZZz6uJ63PZTknYA9lyH2CIiIiJaTraTRXRTrjF5C3CDpEeBDuBHkh4EbgW2HeB4d0paCCwF7qdaUekyB/gPSQ/bnt5Luy7HA98uNw04GThW0mLg3hJbRERExJgn282OISJGSK1Wc2dnZ7PDiIiIiOiTpAW2a43qsp0sIiIiIiJaSpKYiIiIiIhoKUliIiIiIiKipSSJiYiIiIiIlpIkJiIiIiIiWkqSmIiIiIiIaCl5TkxEHUkrqB52eYLtQwcxzgXAz2z/uFv5MqBm+9HBxNlgvhll3ON6bfjQQuhoH8qp+69jeXPmjYiIiDEnKzERQ0xSvhyIiIiIGEZJYiIamyjpx5LukXSRJAFIOkXSfEl3SZpTV36dpC9Juh74p/qBJH1e0gWSuv7ePi7pDklLJO1Q2uwh6RZJC8vPvyvlMyRdKulKSfdJOqNu3A9K+m2Zc+8ReE8iIiIiRoUkMRGN7QocD+wIvIq1ScJs27vb3gkYT7X1rMumtl9v+9+6CkrS8VLgg7bXlOJHbb8WOBc4oZTdA+xne1fgFOBLdeNOA44EpgJHStpa0lbAaSWuN5Y4IyIiItYL2fYS0djtth8AkLQImALcBEyXdCIwAdgMWApcUfpc3G2Mk4HbbM/sVn5p+bkAeEc5bge+I2k7wMBGde2vsb28xHI3sA2wBXCd7T+V8ouB7RudiKSZwEyAtkmTmbJybn/Of+idNI9lpx/SnLkjIiJiTMlKTERjq+qOVwMbShoHnAMcYXsqcD4wrq7dk93GmA/sJmmzHsZezdovEj4PXFtWeA7rNu4LYinH7s+J2J5ju2a71jahSRf1R0RERAyhJDER/deVWDwqaSJwRB/trwROB+ZJ2qSPtu3Ag+V4Rj9iuQ3YX9LmkjYC3tWPPhERERFjQraTRRTlrmKreqq3/YSk84ElwDKqlZZe2f5RSWAul3RwL03PoNpO9kngV/0Y92FJHcCvgYeBO4C2vvpFREREjAWy+7UjJWLMk7QLcL7tPZody3Cp1Wru7OxsdhgRERERfZK0wHatUV22k0UAko4FfgD8S7NjiYiIiIjeZTtZBGD7POC8ZscREREREX3LSkxERERERLSUJDEREREREdFSksRERERERERLSRITEREREREtJRf2x5CQtML2xGbHMVQk7Q+cYPvQ3solfQHYHXir7R6fMdNg/A5ghe2vrmN8bwV2tH36gDo+tBA62tdlysHrWN6ceSMiImLMSRITsY4kfRbYGzh4IAnMULB9OXB5g5g2tP3cSMYSERERMdKynSyGjKSJkq6RdIekJZLeVsqnSLpH0rck3SXpIkkHSrpZ0n2S9ijtOiR9R9LVkpZJeoekM8pYV0raqLRbJmmLclyTdF2DWKZIurHEcoek15Xy/SVdJ+nHJaaLJKnUvaWU3QS8o49z/RRwMHCY7adL2SmS5pdznFM37ixJd0taLOmHdcPsWGK5X9KsAb5XMyTNLscXSPqapGuBr6zb/15ERERE60gSE0NpJXC47dcC04F/6/ogD7waOAvYGdgBeB+wD3AC8Jm6Mf4WOAR4G/A94FrbU4GnS3l/PQK8scRyJPCNurpdgeOBHYFXAXtLGgecDxwG7Av8TS9j7w0cCxxke0Vd+Wzbu9veCRgPdG1FOwnY1fbOpV+XHYA3A3sAp3YlafT/vaq3PXCg7U/1EndERETEmJDtZDGUBHxJ0n7AGuDlwJal7ne2lwBIWgpcY9uSlgBT6sb4D9vPlvI24MpS3r1dXzYCZkuaBqym+pDf5XbbD5RYFpVxV5QY7yvl3wNm9jD2fwIvAd4E/LiufLqkE4EJwGbAUuAKYDFwkaTLgMvq2s8r29BWSXqEgb9X9X5ke3WjCkkzu86lbdJkpqyc28MQw+ykeQAsO30guWhERETEC2UlJobSUcBkYDfb04A/AuNKXf01I2vqXq/h+cn0KgDba4BnbbtBu+dY+7s7jsY+UebfBagBL+o+R7G6blzTP3+k2kp2pqTpAGUl5xzgiLJydH5dbIcA3wR2AxZI6pqvpzj6+17Ve7KnYG3PsV2zXWub0KSL+iMiIiKGUJKYGErtwCNlJWU6sM0wzbOMKiEAeGcvsTxckqH3U63q9OYeYFtJf1tev7e3xrZ/S3XdzPfKak9XwvKopInAEQCSNgC2tn0tcCKwKTBm7uIWERER0QxJYmLQysrCKuAioCapk2pV5p5hmvI04CxJN1KtYDRyDnC0pFuptpL1uFIBYHsl1ZareeXC/t/3FYTt+cAHqe4StjnV6ssSqi1j80uzNqpEZwmwEDjT9hN9jR0RERERPdPa3ToR60bSLsD5tvdodizRu1qt5s7OzmaHEREREdEnSQts1xrVZSUmBkXSscAPgH9pdiwRERERsX7I3cliUGyfB5zX7DgiIiIiYv2RlZiIiIiIiGgpSWIiIiIiIqKlJImJiIiIiIiWkiQmIiIiIiJaSi7sjxElaYXtiXWvZwA128eVO509ZfvCYZq7A1hh+6sD6LOsxPdog/K/AGuAPwIfsP3/1jGuKcDPbO+0Dn2f93726aGF0NHe/wk6lg80pIiIiIhhl5WYGDVsnzdcCcwwmW57F6AT+Ez3SkltIx9SRERExNiXJCZGDUkdkk4ox9dJOlPSDZJ+I2l3SZdKuk/SF+r6XCZpgaSlkmbWlb9F0h2S7pR0Td00O5ax75c0q69x+ukG4NVlnBWSPifpNmAvSadImi/pLklzJKm0263E9mvgY3VxtEn619JnsaSPlPKtynuxqIy1b12fL5axbpW05QBjj4iIiGg5SWJipI0vH8QXSVoEfK6Xts/Y3o/qOTQ/pfqwvxMwQ9Lmpc2HbO8G1IBZkjaXNBk4H3hnWSl5V92YOwBvBvYATpW0UU/jDOCcDgWWlOMXA3fZ/nvbNwGzbe9etoqNL20B5gKzbO/VbawPA8tt7w7sDhwjaVvgfcBVtqcBuwCL6ua7tZznDcAxA4g7IiIioiXlmpgYaU+XD+LA2mtiemh7efm5BFhq++HS535ga+DPVAnH4aXd1sB2wGTgBtu/A7D9WN2Y82yvAlZJegTYEnigh3H+3Me5XCtpNbAY+JdSthq4pK7NdEknAhOAzYClkm4ANrV9fWnzXeCgcvwmYGdJR5TX7SWW+cC3S9J1me2uJOYZ4GfleAHwxu5BlpWlmQBtkyYzZeXcPk6rzknzAFh2+iH97xMRERExzJLExGi2qvxcU3fc9XpDSfsDBwJ72X5K0nXAOECA+xgTqoSjt3H6Mr37Bf/ASturASSNA86hujHAH8qNBfqKT8DHbV/1ggppP+AQ4LuS/rVcP/Ss7a6xVtPgb9r2HGAOwMZbbdfTvBEREREtI9vJopW1A4+XxGMHYM9S/mvg9WUbFpI2W8dxBqsrEXpU0kTgCADbTwDLJe1T6o+q63MV8NGubW6Stpf0YknbAI/YPh/4v8BrhyjGiIiIiJaTlZhoZVcCx0paDNwL3Apg+09lC9WlkjYAHqHBNqu+xhks209IOp9qO9wyqi1hXT5ItT3sKarEpcu3gCnAHeUmAH8C3g7sD3xa0rPACuADQxFjRERERCvS2p0oETHW1Wo1d3Z2NjuMiIiIiD5JWmC74bXT2U4WEREREREtJUlMRERERES0lCQxERERERHRUpLERERERERES0kSExERERERLSVJTEREREREtJQ8JyZiACStsD2x7vUMoGb7uOZFNQAPLYSO9mZHMXp0LG92BBEREbEOshITMYIk5YuDiIiIiEFKEhMxRCQdJuk2SQsl/VLSlqW8Q9IcSVcDF0q6UdK0un43S9pZ0h6Sbin9b5H0d6V+hqRLJV0p6T5JZ9T1PVdSp6Slkk4b8ZOOiIiIaIJ8KxwxMOMlLap7vRlweTm+CdjTtiX9A3Ai8KlStxuwj+2nJR0NzACOl7Q9sLHtxZImAfvZfk7SgcCXgHeW/tOAXYFVwL2Szrb9B+Czth+T1AZcI2ln24uH7ewjIiIiRoEkMRED87Tt+lWUGUCtvHwFcLGkrYAXAb+r63e57afL8Y+AkyV9GvgQcEEpbwe+I2k7wMBGdf2vsb28zHk3sA3wB+DdkmZS/S1vBewIPC+JKfUzAdomTWbKyrnrfPJjzknz/nq47PRDmhhIREREDES2k0UMnbOB2banAh8BxtXVPdl1YPsp4BfA24B3A98vVZ8HrrW9E3BYt/6r6o5XAxtK2hY4ATjA9s7AvG59uuabY7tmu9Y2IRf1R0REROtLEhMxdNqBB8vx0X20/RbwDWC+7cca9J/Rj/kmUSVHy8v1NwcNKNqIiIiIFpUkJmLodAA/knQj8GhvDW0vAP4HqN/bdQbwZUk3A219TWb7TmAhsBT4NnDzuoUdERER0Vpku9kxRKx3JL0MuA7YwfaakZq3Vqu5s7NzpKaLiIiIWGeSFtiuNarLSkzECJP0AeA2qjuLjVgCExERETFW5O5kESPM9oXAhc2OIyIiIqJVZSUmIiIiIiJaSpKYiIiIiIhoKUliIiIiIiKipSSJiYiIiIiIlpIL+yMGqTxo8kxgT+Bx4BngDNs/6aXPz4H32X5iCOafAVxt+6E+Gz+0EDraBztla+hY3uwIIiIiYphkJSZiECQJuAy4wfarbO8GvAd4RW/9bB88kARGUm8Pv5wBvKy/Y0VERES0uiQxEYPzBuAZ2+d1Fdj+ve2zJc2QNLurXNLPJO1fjpdJ2qIcXyZpgaSlkmbWtV8h6XOSbgP2knSKpPmS7pI0R5UjgBpwkaRFksaP0HlHRERENE2SmIjBeQ1wxyDH+FBZwakBsyRtXspfDNxl++9t3wTMtr277Z2A8cChtn8MdAJH2Z5m++lBxhIREREx6uWamIghJOmbwD5U18V8s5/dZkk6vBxvDWwH/BlYDVxS1266pBOBCcBmwFLgin7ENBOYCdA2aTJTVs7tZ1gt7qR5LyhadvohTQgkIiIihlpWYiIGZynw2q4Xtj8GHABMBp7j+X9j47p3LtvLDgT2sr0LsLCu3Urbq0u7ccA5wBG2pwLnNxqvEdtzbNds19omrCcX9UdERMSYliQmYnB+BYyT9NG6sgnl5zJgmqQNJG0N7NGgfzvwuO2nJO1AdYezRroSlkclTQSOqKv7C7DJup5ARERERKvJdrKIQbBtSW8Hzixbvf4EPAn8M3Az8DtgCXAXL7x2xsCVwLGSFgP3Arf2MM8Tks4vYy0D5tdVXwCcJ+lpqhWdXBcTERERY5psNzuGiPVKuV3yI8Df2H52JOeu1Wru7OwcySkjIiIi1omkBbZrjeqynSxi5C0FvjXSCUxERETEWJHtZBEjzPYOzY4hIiIiopVlJSYiIiIiIlpKkpiIiIiIiGgpSWIiIiIiIqKlJImJiIiIiIiWkiQmYpSQtKWk70u6X9ICSb+WdHiz44qIiIgYbXJ3sohRQJKAy4Dv2H5fKdsGeOuQTvTQQuhoH3i/juVDGkZERETEYGQlJmJ0eAPwjO3zugps/9722ZLGSZoraYmkhZKmA0iaIulGSXeUf69rWvQRERERIygrMRGjw2uAO3qo+xiA7amSdgCulrQ98AjwRtsrJW0H/ABo+FTbiIiIiLEkSUzEKCTpm8A+wDPAA8DZALbvkfR7YHvg98BsSdOA1aWs0VgzgZkAbZMmM2Xl3AHHs2zgpxARERExbLKdLGJ0WAq8tuuF7Y8BBwCTAfXQ5xPAH4FdqFZgXtSoke05tmu2a20T1uF6mIiIiIhRJklMxOjwK2CcpI/WlU0oP28AjgIo28heCdwLtAMP214DvB9oG7lwIyIiIponSUzEKGDbwNuB10v6naTbge8A/wycA7RJWgJcDMywvaqUHy3pVqqtZE82J/qIiIiIkaXqs1NErA9qtZo7OzubHUZEREREnyQtsN3wpkVZiYmIiIiIiJaSJCYiIiIiIlpKkpiIiIiIiGgpSWIiIiIiIqKlJImJiIiIiIiWkiQmIiIiIiJaSpKYiBEkabWkRZKWSrpT0icl9fp3KGmKpLvK8QxJs3to93NJmw5H3BERERGjyYbNDiBiPfO07WkAkl4KfB9oB04d7MC2D+6z0UMLoaN9sFNFDI2O5c2OICIiWlRWYiKaxPYjwEzgOFXaJP2rpPmSFkv6SA9dXybpSkn3STqjq1DSMklbjEjwEREREU2UlZiIJrJ9f9lO9lLgbcBy27tL2hi4WdLVgLt1mwbsCqwC7pV0tu0/jGjgEREREU2UJCai+VR+vgnYWdIR5XU7sB3w227tr7G9HEDS3cA2QI9JjKSZVCs+tE2azJSVc4cw9IhBOGler9XLTj9khAKJiIhWkyQmookkvQpYDTxClcx83PZV3dpM6dZtVd3xavr4O7Y9B5gDsPFW23Vf1YmIiIhoObkmJqJJJE0GzgNm2zZwFfBRSRuV+u0lvbiZMUZERESMRlmJiRhZ4yUtAjYCngO+C3yt1H0LmALcIUnAn4C3NyPIiIiIiNFM1RfAEbE+qNVq7uzsbHYYEREREX2StMB2rVFdtpNFRERERERLSRITEREREREtJUlMRERERES0lCQxERERERHRUpLERERERERES0kSExERERERLSVJTEREREREtJRhTWIkrZa0SNJSSXdK+qSkAc0p6QJJRwxXjP2Yf4ak2T2Ur5G0c13ZXZKmjHB8KxrE9YJ4BznHX8eUdKykDwzl+GXcDkkn9FD+YPk9uk/SpZJ2HOr5m6GP360/SVpYzvkqSa+rq/+cpAPXadKHFg4i4oiIiIjRYcNhHv9p29MAJL0U+D7QDpw62IEltdlePdhxBukB4LPAkSMxmaQNbT83EnP1xPZ5TZj2TNtfBZB0JPArSVNt/6kJsYyUi20fByBpOnCppOm2f2P7lCbHFhEREdFUI7adzPYjwEzgOFWmSLpR0h3l3+sASt1sSXdLmge8tGsMScsknSLpJuBdko6RNL+s8lwiaUL3eSXtIemW8q32LZL+rpTPKN/qX1m+7T6jrs8HJf1W0vXA3r2c1s+A13SN2W3ecyV1llWo0+rKD5Z0j6SbJH1D0s/6EeePJF0BXD2Q91zSYZJuK2P+UtKWkjYo7+Omde3+s9RNLu/j/PLvBefey4rJC+aqa/9tSddJul/SrLo+n5V0r6RfAi94DxuxfXF5H95XxjilxHqXpDmSVMqvk3SmpBsk/UbS7uX/+z5JX6iL4TJJC8r/08y68hWSvlh+t27tOp9u5zycv1v153wtMIfq7+d5q5Pl/3KLclyTdF1/xoyIiIhoZSN6TYzt+8ucLwUeAd5o+7VUKxnfKM0Op/pAOxU4Bnhdt2FW2t7H9g+BS23vbnsX4DfAhxtMew+wn+1dgVOAL9XVTStzTwWOlLS1pK2A06g+YL4R6G3r0hrgDOAzDeo+a7sG7Ay8XtLOksYB/w4cZHsfYHI/49wLONr2GxrMM17VVqtFkhYBn6uruwnYs4z5Q+BE22uAn1K9z0j6e2CZ7T8CZ1GteuwOvBP4Vi/n3t0L5qqr2wF4M7AHcKqkjSTtBrwH2BV4B7D7AOa6o4wJMLv8DuwEjAcOrWv3jO39gPPKOX8M2AmYIWnz0uZDtncDasCsuvIXA7eW360bqH4XuxvO363ezjkiIiJivTbc28kaUfm5ETBb0jRgNbB9Kd8P+EHZKvaQpF91639x3fFO5Vv1TYGJwFUN5msHviNpO8Bl3i7X2F4OIOluYBtgC+C6rq1Kki6ui62R7wOflbRtt/J3l2/2NwS2ovrAugFwv+3flTY/oHy73kecv7D9WA/z/3XLXol3BtUHcoBXABeXD88vArrmvZjqQ/dcqkSi6z09ENixLGYATJK0SS/nXq+nuQDm2V4FrJL0CLAlsC/wE9tPlbgv7+c8sPZ3CGC6pBOBCcBmwFLgilLXNeYSYKnth8tc9wNbA3+mSlwOL+22BrYr5c9QrbQBLKBKOrob7t+tns55QMrv4UyAtkmT+2gdERERMfqN6EqMpFdRJSyPAJ8A/gjsQvWh+0V1Td3LME/WHV8AHGd7KtU33OMatP88cG35pv6wbm1W1R2vZm1S19v8z1OuUfk34J+7ykpCcwJwgO2dgXll3t4+iPYW55ONu/TpbKqViqnAR+rG/DXwakmTgbcDl5byDYC9bE8r/15u+y+DnAuG4H3uZlfgN2Vl6xzgiDLv+T3Mu6ZbDGuADSXtT5W47VVWXBbW9X/Wdld89THXG9bfrW52pVpt7O451v4dN/r9x/Yc2zXbtbYJ7es4fURERMToMWJJTPnAfB7VB11TfYv9cNne9H6grTS9AXiPpLbyrf70XobdBHhY0kbAUT20aQceLMcz+hHqbcD+kjYv476rH30uoPow3PU19ySqxGN5uZbioFJ+D/Aqrb2DWf0NAQYaZ3/Uj3l0V2F5/38CfA34je0/l6qrgeO62pVVskHN1YsbgMMljS+rPYf1ZxJJ7wTeRLWK1fWh/VFJE4GB3sWuHXjc9lOSdgD2XIf+w/27haTXU62knN+gehmwWzl+Z3/Gi4iIiGh1w53EdF2vsRT4JdWH5K6L3M8BjpZ0K9WWmq7Vhp8A91FtAToXuL6X8U+m+mD4C6oEoZEzgC9Lupm1iVKPypajDqrVil9SXYvQV59nqK7peWl5fSfVt/pLgW8DN5fyp4F/BK5UdXOCPwLL1yXOfuoAfiTpRuDRbnUXA/+b52/PmwXUJC0uW6COHaK5XsD2HWXuRcAlwI29NP9E+T26r8T8Btt/sv0E1Qf7JcBlwPwBxAtwJdWKzGKqVZVbB9h/OH+3jizn/Fuqa67eabvRSsxpwFnlfe/zbn1TX56VmIiIiGh9WrtjJkaCpIm2V5S7aH0TuM/2mc2OK9YPtVrNnZ2dzQ4jIiIiok+SFpQbZb3AiF4TEwAcU+4itpRqO9K/NzmeiIiIiIiW0oy7k63XyqpLVl4iIiIiItZRVmIiIiIiIqKlJImJiIiIiIiWkiQmIiIiIiJaSpKYiIiIiIhoKbmwP8YkSX8DfB3YHVhF9VDIy4C32j60QftlQM12n8+4Ke2nAS+z/fPyen/gGdu3lNfHAk/ZvnDQJ9NzDMsYQMwAPLQQOvKsGAA6lvfdJiIiIkalJDEx5pRn8PwE+I7t95SyacBhQzjNNKAG/Ly83h9YAdwCYPu8IZzrBSQN1QNRIyIiIlpOtpPFWDQdeLY+kbC9CLgRmCjpx5LukXRRSXi6fFzSHZKWSNoBQNIekm6RtLD8/DtJLwI+BxwpaZGkfwaOBT5RXu8rqUPSCWWMWZLulrRY0g9L2WRJvyjz/buk30vaotRdJmmBpKWSZnYFJ2mFpM9Jug3Yq6eYIyIiIsa6rMTEWLQTsKCHul2B1wAPATcDewM3lbpHbb9W0j8CJwD/ANwD7Gf7OUkHAl+y/U5Jp1Bt5ToOQNJ4YIXtr5bXB9TNeRKwre1VkjYtZacCv7L9ZUlvAWbWtf+Q7cfKmPMlXWL7z8CLgbtsn1Lm6CnmiIiIiDEtSUysb263/QCApEXAFNYmMZeWnwuAd5TjduA7krYDDGy0DnMuBi6SdBnVdTkA+wCHA9i+UtLjde1nSTq8HG8NbAf8GVgNXNJt7EYxP09ZzZkJ0DZpMlNWzl2HUxiDTprXsHjZ6YeMcCARERExUNlOFmPRUmC3HupW1R2v5vmJ/KoG5Z8HrrW9E9U1NePWIZ5DgG+WmBZI2hBQo4blBgEHAnvZ3gVYWDfnSturezif7ufyV7bn2K7ZrrVNyEX9ERER0fqSxMRY9CtgY0nHdBVI2h14/TqM1Q48WI5n1JX/Bdikl9dd824AbG37WuBEYFNgItXqz7tLmzcBL6mb73HbT5VrXPZch5gjIiIixrRsJ4sxx7bLdqyvSzoJWMnaWywP1BlU28k+SZUcdbkWOKlsSfsycAXwY0lvAz5e164N+J6kdqrVlzNtPyHpNOAHko4ErgcepkqErgSOlbQYuBe4dR1i7tHUl7fTme1SERER0eJku9kxRKx3JG0MrC43DNgLONf2tOGet1arubOzc7iniYiIiBg0SQts1xrVZSUmojleCfx/ZbvZM8AxfbSPiIiIiCJJTEQT2L6P6nbPERGUOf32AAAaeElEQVQRETFAubA/IiIiIiJaSpKYiIiIiIhoKUliIiIiIiKipSSJiYiIiIiIlpIL+2O9I+lvgK8Du1M98X4Z1TNk3mr70GGY7zrgBNudkn4OvM/2E0MwbgewwvZX+93poYXQ0f78so7lgw0lIiIiYkRlJSbWK5IE/AS4zvbf2t4R+Ayw5UjMb/vgIUpg8gVERERErLeSxMT6ZjrwrO3zugpsLwJuBCZK+rGkeyRdVBIeJJ0iab6kuyTNqSu/TtJXJN0u6beS9i3l4yX9UNJiSRcD47vmkrRM0hbl+OQy1y8k/UDSCaX8mDLfnZIukTShlF8g6WuSrgW+UobcscRxv6RZw/3mRURERIwGSWJifbMTsKCHul2B44EdgVcBe5fy2bZ3t70TVUJSv+VsQ9t7lH6nlrKPAk/Z3hn4IrBb94kk1YB3ljnfAdQ/jfbSMt8uwG+AD9fVbQ8caPtT5fUOwJuBPYBTJW3Ux/lHREREtLxsSYlY63bbDwBIWgRMAW4Cpks6EZgAbAYsBa4ofS4tPxeU9gD7Ad8AsL1Y0uIGc+0D/NT202W+K+rqdpL0BWBTYCJwVV3dj2yvrns9z/YqYJWkR6i2xT1QP5GkmcBMgLZJk5mycu7zAlnW+L2IiIiIGLWyEhPrm6U0WBkpVtUdrwY2lDQOOAc4wvZU4HxgXIM+q3n+lwLuIw71UncBcFyZ77Ru8z3ZV8zdB7M9x3bNdq1tQnv36oiIiIiWkyQm1je/AjaWdExXgaTdgdf30L4rgXhU0kTgiH7McQNwVBl7J2DnBm1uAg6TNK6Me0hd3SbAw2Vr2FH9mC8iIiJivZLtZLFesW1JhwNfl3QSsJK1t1hu1P4JSecDS0q7+f2Y5lxgbtlGtgi4vcG48yVdDtwJ/B7oBLrudXwycFspX0KV1EREREREIbuvXS8RMRwkTbS9otx97AZgpu07hnPOWq3mzs7O4ZwiIiIiYkhIWmC71qguKzERzTNH0o5UW9a+M9wJTERERMRYkSQmoklsv6/ZMURERES0olzYHxERERERLSVJTEREREREtJQkMRERERER0VKSxEREREREREvJhf0RI0jSaqpnvwhYDRxn+xZJLwO+YfsISTOAmu3jhjyAhxZCR/uQD9uSOpb33SYiIiJGpSQxESPradvTACS9Gfgy8HrbDwFHDMUEktpsrx6KsSIiIiJGo2wni2ieScDjAJKmSLqrru5lkq6UdJ+kM7oKJZ0rqVPSUkmn1ZUvk3SKpJuAd43YGUREREQ0QVZiIkbWeEmLqB5wuRXwhh7aTQN2BVYB90o62/YfgM/afkxSG3CNpJ1tLy59VtreZ7hPICIiIqLZksREjKz67WR7ARdK2qlBu2tsLy/t7ga2Af4AvFvSTKq/3a2AHYGuJObiRhOW9jMB2iZNZsrKuUN4Oi3spHkALDv9kCYHEhEREQOV7WQRTWL718AWwOQG1avqjlcDG0raFjgBOMD2zsA8qhWdLk/2MM8c2zXbtbYJuag/IiIiWl+SmIgmkbQD0Ab8uZ9dJlElKsslbQkcNFyxRURERIxm2U4WMbK6romB6jbLR9teLanPjrbvlLQQWArcD9w8fGFGREREjF6y3ewYImKE1Go1d3Z2NjuMiIiIiD5JWmC71qgu28kiIiIiIqKlJImJiIiIiIiWkiQmIiIiIiJaSpKYiIiIiIhoKUliIiIiIiKipSSJiYiIiIiIlpLnxEQMA0mHA5cC/8v2Pc2O568eWggd7c2OYuR0LG92BBERETEMshITMTzeC9wEvKfZgURERESMNUliIoaYpInA3sCHKUmMpK0k3SBpkaS7JO0rqU3SBeX1EkmfKG2PkTRf0p2SLpE0oZRfIOlcSddKul/S6yV9W9JvJF3QrPONiIiIGGlJYiKG3tuBK23/FnhM0muB9wFX2Z4G7AIsAqYBL7e9k+2pwNzS/1Lbu9veBfgNVTLU5SXAG4BPAFcAZwKvAaZKmjYC5xYRERHRdLkmJmLovRf4ejn+YXl9BfBtSRsBl9leJOl+4FWSzgbmAVeXPjtJ+gKwKTARuKpu7CtsW9IS4I+2lwBIWgpMoUqOnkfSTGAmQNukyUxZObd7k7HrpHksO/2QZkcRERERQywrMRFDSNLmVCsl35K0DPg0cCRwI7Af8CDwXUkfsP041arMdcDHgG+VYS4AjiurM6cB4+qmWFV+rqk77nrd8EsJ23Ns12zX2iasRxf1R0RExJiVJCZiaB0BXGh7G9tTbG8N/I4qgXnE9vnA/wVeK2kLYAPblwAnA68tY2wCPFxWbY4a+VOIiIiIGN2ynSxiaL0XOL1b2SVUqytPSnoWWAF8AHg5MFdS15cJ/6f8PBm4Dfg9sIQqqYmIiIiIQrabHUNEjJBarebOzs5mhxERERHRJ0kLbNca1WU7WUREREREtJQkMRERERER0VKSxEREREREREtJEhMRERERES0lSUxERERERLSUJDEREREREdFSksTEsJN0uCRL2qHJcVwnqeFt+npoP0XSXT2UPy1pkaS7JZ1X96yXdYlrhqTZ69Bvf0k/G1CnhxZCR/vz/0VERES0mCQxMRLeC9wEvKdRpaS2kQ1nSPyX7WnAzsCOwNvrK1v0nCIiIiJaQpKYGFaSJgJ7Ax+mLokpqwjXSvo+sKT7qoekEyR1lOPrJH1F0u2Sfitp31I+RdKNku4o/15X1/9ESUsk3Snp9LqQ3jWQcfpi+zngFuDV3c+pjH2ZpAWSlkqaWRffB0sM15f35/9v7/6jrSrrPI6/P4JipqCSGUtJfkQakYpeGRv8tdTxV1LqmEpWNrZinNFF1pBjy1KcVo3l2E9Loxk1i4QUKYuVoSUpJuLlNyr+ApwhCTLMn0GJ3/ljfy/se7jncqEL5xzO57XWWXefZz/72c/zZR893/s8e9+28n0kTZH0SL5GZvmxOfMzX9I8SXvkIbtLukPSEkkTJamrfTczMzNrVD1r3QHb4Z0B3B0RT0paI+mwiJib+0YAwyJimaQBm2mnZ0SMkHQacBVwIrAa+IeIWCtpCHAb0CLp1Dzv30XEa5L23pp2ujI4SbsBJwBXVo4p318YEWskvQl4RNIUYBfgauBw4EXgPmBe1v8G8LWImCnp7cAvgXcB44CLI+LBTAzXZv3hwLuB54AHKRKimV3pu5mZmVmjchJj29po4Ou5PSnftyUxs0tf9jfnzvw5BxiQ2zsD10s6FFgPvDPLTwRujojXACJizVa205nBkuYDAfw0In4h6bgOxjRW0pm53R8YArwNmBERfwCQNLmi70NLEyq9c9blQeCrkiYCd0bEiqwzOyJWZDvzc0ztkpicARoD0KP3PgxYe3O7gSzvwmDNzMzM6omTGNtmJPUFjgeGSQqgBxCSLssqr5aqv0775Y27VjS3Ln+uZ+N1+ylgFXBIHts2OyGK5KIjW9JOZ9ruiam0YUyZ1JwIvDdnhGawcVzV+rdT1v9zRfk1kqYBpwGzJJ1YMZ7KMW0QEROACQC9+g2pdl4zMzOzhuF7YmxbOhu4NSIOiIgBEdEfWAYc1UHdVcBbJfWV1As4vQvt9wFWRsQbwEcokiSA6cCFudSLiuVkW9LO36oP8EImMAcBR2b5w8BxOdadgQ+WjpkOXNL2JmeHkDQ4IhZFxJeBVqCmT3ozMzMzqyUnMbYtjQamVpRNAT5UWTEi/gr8B8UX/J8DS7rQ/neACyTNoliO9Wq2dTdwF9CaS6zGbU073eBuoKekhcAXgFnZv5XAeOAh4F42Lq8DGEtxX89CSY8BF2X5pZIWS1oA/Bn4RTf10czMzKzhKMKrS8yaRUtLS7S2tta6G2ZmZmabJWlORHT4sCXPxJiZmZmZWUNxEmNmZmZmZg3FSYyZmZmZmTUUJzFmZmZmZtZQnMSYmZmZmVlDcRJjZmZmZmYNZZO/7m1WLySdCdwJvCsiuvJ3Y8rHHgeMi4jTJY0HXomI/+qmft0CHAu8CLwBXBwRD/0N7S0HWiLi+S08bgbFGLv+zOTn5sH4PlvUPzOrY+NfrHUPzMxqwjMxVs9GAzOB87b1iVTYks/DZyLiUOBy4LsdtOdfEJiZmZltI05irC5J2h0YCXycUhIj6ThJMyTdIWmJpImSlPtOybKZwFkVTQ7N45ZKGpv1B0h6XNJ3gLlAf0k3SGqV9Kikq7vQ1fuBd2R7MyR9SdJvgE9KGiXpYUnzJN0rad+s11fS9Cz/LqDS+D4sabak+ZK+K6lHvm6RtFjSIkmfKp3/g1n/SUlHb1mUzczMzBqTkxirV2cAd0fEk8AaSYeV9g0HLgWGAoOAkZJ2Bb4HjAKOBt5W0d5BwMnACOAqSTtn+YHArRExPCKeBa7Ivwx7MHCspIM3089RwKLS+z0j4tiIuI5iFunIiBgOTAIuyzpXATOz/C7g7QCS3gWcC4zMWZ71wPnAocB+ETEsIt4D3Fw6X8+IGJHxuGozfTUzMzPbIXjJi9Wr0cDXc3tSvp+b72dHxAoASfOBAcArwLKIeCrLfwiMKbU3LSLWAeskrQb2zfJnI2JWqd45ksZQfDb6USRKCzvo37WSPgf8gWK2qM3k0vb+wGRJ/YBdgGVZfgw5UxQR0yS9kOUnAIcDj+Tk0puA1cDPgEGSvgVMA6aXznFn/pyTcdhEjmcMQI/e+zBg7c0dVTOzRnT5tA2by695Xw07Yma2fTmJsbojqS9wPDBMUgA9gJDUNpOxrlR9PRuv4+ik2WrHvFo670BgHHBERLyQN/DvWqW9z0TEHR2Uv1ra/hbw1Yi4Kx80ML60r6O+Cvh+RHx2kx3SIRQzSRcD5wAXVoyrPKZ2ImICMAGgV78hncXIzMzMrCF4OZnVo7MplngdEBEDIqI/xSzGUZ0cswQYKGlwvh+9FeftTZGEvJj3r5y6FW2U9QF+l9sXlMrvp1gmhqRTgb2y/FfA2ZLemvv2lnSApLcAO0XEFODzQHlpnZmZmVnTcRJj9Wg0MLWibArwoWoHRMRaiiVT0/LG/me39KQRsQCYBzwK3AQ8uKVtVBgP3C7pAaD8+OSrgWMkzQVOAv43z/8Y8DlguqSFwD0US9r2A2bk0rlbgE1maszMzMyaiSK8usSsWbS0tERra9f/rIyZmZlZrUiakw9c2oRnYszMzMzMrKE4iTEzMzMzs4biJMbMzMzMzBqKkxgzMzMzM2soTmLMzMzMzKyhOIkxMzMzM7OG4iSmTkg6U1JIOmgrjj1O0s+3Rb+2N0mvVCkPSdeV3o+TND63L5L00a04V7fGTdJ4SeM62f8xSddvj3NV9dw8GN+nO7pgZmZmVjNOYurHaGAmcF6tO1Kn1gFn5V+vbyciboyIW7d3hyT12N7nNDMzMzMnMXVB0u7ASODjlJKYnCmYIekOSUskTZSk3HdKls0EziodM0LSbyXNy58HZvnHJP1E0s8kLZN0iaRPZ71ZkvbOep+Q9IikBZKmSNoty2+R9M1sc6mks6uM5SeS5kh6VNKYUvkrkr6Y7c6StG+WD5T0UJ7zC52E6XVgAvCpDs65YVZC0jsk3ZvnmStpsArXSlosaZGkc0uH95Y0VdJjkm6UtFO2c4Ok1hzH1aVzLZd0Zcb9g9U6K2lstrlQ0qQO9o+S9HDG/95SPMZLuin/3ZdKGls65gpJT0i6Fziwq+cyMzMz29E4iakPZwB3R8STwBpJh5X2DQcuBYYCg4CRknYFvgeMAo4G3laqvwQ4JiKGA1cCXyrtGwZ8CBgBfBF4Les9BLQtx7ozIo6IiEOAxykSqzb9gKOA04Frqozlwog4HGgBxkrqm+VvBmZlu/cDn8jybwA3RMQRwO87iRHAt4HzJXW2Hmoi8O08z98DKymSvEOBQ4ATgWsl9cv6I4B/A94DDGZjQnhF/oXYg4FjJR1cOsfaiDgqIjpLGC4HhkfEwcBFHeyfCRyZ8Z8EXFbadxBwcvbtKkk7SzqcIsEdnn08YgvOZWZmZrZDcRJTH0ZTfJElf44u7ZsdESsi4g1gPjCA4kvusoh4KiIC+GGpfh/gdkmLga8B7y7tuy8iXo6IPwAvAj/L8kXZLsAwSQ9IWgScX3H8TyLijYh4DNi3yljGSloAzAL6A0Oy/C9A2/0nc0rnGwnclts/qNImABHxEnArMLaj/ZL2APaLiKlZf21EvEaReN0WEesjYhXwGzYmAbMjYmlErM9+HJXl50iaC8zLGAwtnWpyZ/1MC4GJkj5MMYtUaX/glxnnz9A+ztMiYl1EPA+spoj10cDUiHgt43BXV88laUzOKrXOf7UvA9b+qAvdNzMzM6tfTmJqLGcqjgf+W9Jyii+057YtG6O4F6TNeqBnbkeVJr9AkawMo5ip2bW0r9zWG6X3b5TavQW4JCLeA1zdyfGigqTjKGY63pszIfNKx/81E67KcXQ2lo58nWJ26M0d7NukT5sp7+jcIWkgMA44IWc3ptE+Dq92oZ/vo5g5OhyYI6lnxf5vAddnnP+Z6nHuyr95p+eKiAkR0RIRLT128039ZmZm1vicxNTe2cCtEXFARAyIiP7AMjbOCHRkCTBQ0uB8X5656QP8Lrc/thX92QNYKWlnipmYLdEHeCEiXlPxlLUju3DMg2y8D2iz54uINcCPab/MrW3fS8AKSWcASOqV9/TcT5EY9pC0D3AMMDsPG5H35ewEnEuxzKs3RaLyYt6rcmoXxrFBttU/Iu6jWCa2J7B7RbXyv9MFXWj2fuBMSW/KGadRW3AuMzMzsx2Kk5jaGw1MrSibQnHvSociYi0wBpiWN5g/W9r9FeA/JT0IbM3Tsz4PPAzcQ5EsbYm7gZ6SFlLMCM3qwjGfBC6W9AjFF/uuuA7Y5Cll6SMUS9oWAr+luF9oKsWSqwXAr4HLIqLt/puHKO7vWUyRPE6NiAUUs0iPAjdRJFpbogfww1wqNg/4WkT8qaLOeIplfw8Az2+uwYiYS7GMbT7F9fHAFpzLzMzMbIeijSt8zGxH19LSEq2trbXuhpmZmdlmSZqTD1rahGdizMzMzMysoTiJMTMzMzOzhuIkxszMzMzMGorviTFrIpJeBp6odT/q1FvowkMWmpRjU51j0zHHpTrHpjrHprpmjc0BEbFPRzsq/3aFme3Ynqh2g1yzk9Tq2HTMsanOsemY41KdY1OdY1OdY7MpLyczMzMzM7OG4iTGzMzMzMwaipMYs+YyodYdqGOOTXWOTXWOTcccl+ocm+ocm+ocmwq+sd/MzMzMzBqKZ2LMzMzMzKyhOIkxaxKSTpH0hKSnJV1e6/50F0n9Jd0n6XFJj0r6ZJaPl/Q7SfPzdVrpmM9mHJ6QdHKp/HBJi3LfNyUpy3tJmpzlD0saUDrmAklP5euC7TfyrpG0PMc0X1Jrlu0t6Z7s8z2S9irV3+FjI+nA0nUxX9JLki5t1mtG0k2SVktaXCqr6TUiaWDWfSqP3WVbx6EjVWJzraQlkhZKmippzywfIOnPpevnxtIxzRKbmn6G6jw2k0txWS5pfpY31XXTrSLCL7/82sFfQA/gGWAQsAuwABha635109j6AYfl9h7Ak8BQYDwwroP6Q3P8vYCBGZceuW828F5AwC+AU7P8X4Ebc/s8YHJu7w0szZ975fZetY5JxXiXA2+pKPsKcHluXw58uRljk/3sAfweOKBZrxngGOAwYHG9XCPAj4HzcvtG4F/qKDYnAT1z+8ul2Awo16top1liU9PPUD3HpmL/dcCVzXjddOfLMzFmzWEE8HRELI2IvwCTgA/UuE/dIiJWRsTc3H4ZeBzYr5NDPgBMioh1EbEMeBoYIakf0DsiHoriv/K3AmeUjvl+bt8BnJC/ETsZuCci1kTEC8A9wCndPMRtoTye79N+nM0WmxOAZyLi2U7q7NBxiYj7gTUVxTW7RnLf8Vm38vzbVUexiYjpEfF6vp0F7N9ZG80Um040/XXTJvt5DnBbZ23sqLHpTk5izJrDfsD/ld6voPMv+g0pp9SHAw9n0SW55OMmbVwOUy0W++V2ZXm7Y/LLy4tA307aqicBTJc0R9KYLNs3IlZCkQQCb83yZosNFL/FLH+Z8DVTqOU10hf4UylRqNcYAVxI8RvyNgMlzZP0G0lHZ1mzxaZWn6FGiA3A0cCqiHiqVObrZis4iTFrDuqgbId6NKGk3YEpwKUR8RJwAzAYOBRYSTF9D9Vj0VmMtuaYejEyIg4DTgUulnRMJ3WbKja5Jvz9wO1Z5Gtm87ZHLBoiRpKuAF4HJmbRSuDtETEc+DTwI0m9aa7Y1PIzVO+xaTOa9r848XWzlZzEmDWHFUD/0vv9gedq1JduJ2lnigRmYkTcCRARqyJifUS8AXyPYkkdVI/FCtovCynHaMMxknoCfSiWCtR9XCPiufy5GphKEYdVuVShbcnC6qzeVLGhSOzmRsQq8DVToZbXyPPAnlm3sq26kDdMnw6cn0t9yKVSf8ztORT3fbyTJopNjT9DdR0b2DCOs4DJbWW+braekxiz5vAIMCSfTrILxRKau2rcp26Ra33/B3g8Ir5aKu9XqnYm0PaUmLuA8/LpLgOBIcDsXDLzsqQjs82PAj8tHdP2lJezgV/nF5dfAidJ2iuXTZyUZXVB0psl7dG2TdG/xbQfzwW0H2dTxCa1+42or5l2anaN5L77sm7l+WtO0inAvwPvj4jXSuX7SOqR24MoYrO0yWJTs89QvccmnQgsiYgNy8R83fwNog6eLuCXX35t+xdwGsWTu54Brqh1f7pxXEdRTIsvBObn6zTgB8CiLL8L6Fc65oqMwxPk016yvIXif7rPANez8Q8C70qx5OhpiqfFDCodc2GWPw38U63jURGbQRRPBFoAPNr2706xPvpXwFP5c+8mjM1uwB+BPqWyprxmKBK5lcBfKX6T+/FaXyN57c7O8tuBXnUUm6cp7jto++9N21Oi/jE/ZwuAucCoJoxNTT9D9RybLL8FuKiiblNdN935aguGmZmZmZlZQ/ByMjMzMzMzayhOYszMzMzMrKE4iTEzMzMzs4biJMbMzMzMzBqKkxgzMzMzM2soTmLMzMzMzKyhOIkxMzMzM7OG4iTGzMzMzMwayv8DQVTtkYqLBxYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1=df.iloc[:,1:3]\n",
    "df1.plot.barh(figsize=(10,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}