23-problem-solution_time_and_date_types_and_operations.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>url</th>\n",
       "      <th>tweet</th>\n",
       "      <th>replies</th>\n",
       "      <th>retweets</th>\n",
       "      <th>quotes</th>\n",
       "      <th>likes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-01 01:15</td>\n",
       "      <td>https://twitter.com/JoeBiden/status/1212180387...</td>\n",
       "      <td>Our final fundraising deadline of 2019 is just...</td>\n",
       "      <td>411</td>\n",
       "      <td>269</td>\n",
       "      <td>32</td>\n",
       "      <td>948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-01 18:35</td>\n",
       "      <td>https://twitter.com/JoeBiden/status/1212442112...</td>\n",
       "      <td>Every single human being deserves to be treate...</td>\n",
       "      <td>1136</td>\n",
       "      <td>2423</td>\n",
       "      <td>182</td>\n",
       "      <td>11574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-01-02 00:01</td>\n",
       "      <td>https://twitter.com/JoeBiden/status/1212524152...</td>\n",
       "      <td>With just over one month until the Iowa Caucus...</td>\n",
       "      <td>332</td>\n",
       "      <td>368</td>\n",
       "      <td>29</td>\n",
       "      <td>1457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-01-02 01:05</td>\n",
       "      <td>https://twitter.com/JoeBiden/status/1212540258...</td>\n",
       "      <td>This election is about the soul of our nation ...</td>\n",
       "      <td>5199</td>\n",
       "      <td>10192</td>\n",
       "      <td>1153</td>\n",
       "      <td>44886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-01-02 02:07</td>\n",
       "      <td>https://twitter.com/JoeBiden/status/1212556035...</td>\n",
       "      <td>Every day that Donald Trump remains in the Whi...</td>\n",
       "      <td>1070</td>\n",
       "      <td>2005</td>\n",
       "      <td>128</td>\n",
       "      <td>9581</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          timestamp                                                url  \\\n",
       "0  2020-01-01 01:15  https://twitter.com/JoeBiden/status/1212180387...   \n",
       "1  2020-01-01 18:35  https://twitter.com/JoeBiden/status/1212442112...   \n",
       "2  2020-01-02 00:01  https://twitter.com/JoeBiden/status/1212524152...   \n",
       "3  2020-01-02 01:05  https://twitter.com/JoeBiden/status/1212540258...   \n",
       "4  2020-01-02 02:07  https://twitter.com/JoeBiden/status/1212556035...   \n",
       "\n",
       "                                               tweet  replies  retweets  \\\n",
       "0  Our final fundraising deadline of 2019 is just...      411       269   \n",
       "1  Every single human being deserves to be treate...     1136      2423   \n",
       "2  With just over one month until the Iowa Caucus...      332       368   \n",
       "3  This election is about the soul of our nation ...     5199     10192   \n",
       "4  Every day that Donald Trump remains in the Whi...     1070      2005   \n",
       "\n",
       "   quotes  likes  \n",
       "0      32    948  \n",
       "1     182  11574  \n",
       "2      29   1457  \n",
       "3    1153  44886  \n",
       "4     128   9581  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data=pd.read_csv('data/joe_biden_tweets_2020.csv')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The file `joe_biden_tweets_2020.csv` contains tweets from the Twitter account of President Joe Biden in year 2020.\n",
    "The data was downloaded from [Kaggle](https://www.kaggle.com/rohanrao/joe-biden-tweets).\n",
    "\n",
    "- Convert `timestamp` to datetime type and make it the index of the data frame\n",
    "- Select tweets posted in November\n",
    "- Focusing on `likes`, extract that columns in a series and plot it using the `plot` method\n",
    "- Let us improve the plot, resample by `week` taking the average and plot again\n",
    "- Create a new column `day_of_week`representing the day of the week of the tweet (i.e., Saturday, Sunday, ...)\n",
    "- In what day of week did President Biden tweet the most?\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['timestamp'] = pd.to_datetime(data['timestamp'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>url</th>\n",
       "      <th>tweet</th>\n",
       "      <th>replies</th>\n",
       "      <th>retweets</th>\n",
       "      <th>quotes</th>\n",
       "      <th>likes</th>\n",
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-11-01 00:10:00</th>\n",
       "      <td>https://twitter.com/JoeBiden/status/1322692328...</td>\n",
       "      <td>Tonight marks our last end-of-month fundraisin...</td>\n",
       "      <td>1376</td>\n",
       "      <td>1059</td>\n",
       "      <td>123</td>\n",
       "      <td>6230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01 00:23:00</th>\n",
       "      <td>https://twitter.com/JoeBiden/status/1322695600...</td>\n",
       "      <td>President Trump doesn’t care about you. He doe...</td>\n",
       "      <td>4446</td>\n",
       "      <td>16222</td>\n",
       "      <td>1381</td>\n",
       "      <td>72722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01 00:40:00</th>\n",
       "      <td>https://twitter.com/JoeBiden/status/1322699878...</td>\n",
       "      <td>You’re absolutely right, Brayden — no one shou...</td>\n",
       "      <td>1354</td>\n",
       "      <td>4940</td>\n",
       "      <td>809</td>\n",
       "      <td>25911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01 01:01:00</th>\n",
       "      <td>https://twitter.com/JoeBiden/status/1322705178...</td>\n",
       "      <td>Vote for equality.\\nVote for the planet.\\nVote...</td>\n",
       "      <td>6701</td>\n",
       "      <td>8663</td>\n",
       "      <td>1186</td>\n",
       "      <td>63883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01 01:20:00</th>\n",
       "      <td>https://twitter.com/JoeBiden/status/1322709944...</td>\n",
       "      <td>Together, we can end the last four years of ch...</td>\n",
       "      <td>2747</td>\n",
       "      <td>3241</td>\n",
       "      <td>492</td>\n",
       "      <td>15284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01 01:40:00</th>\n",
       "      <td>https://twitter.com/JoeBiden/status/1322714977...</td>\n",
       "      <td>Un número récord de latinos son elegibles para...</td>\n",
       "      <td>1060</td>\n",
       "      <td>1721</td>\n",
       "      <td>201</td>\n",
       "      <td>8630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01 02:04:00</th>\n",
       "      <td>https://twitter.com/JoeBiden/status/1322721017...</td>\n",
       "      <td>The hard truth is that under President Trump, ...</td>\n",
       "      <td>6502</td>\n",
       "      <td>22859</td>\n",
       "      <td>2431</td>\n",
       "      <td>168198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01 02:22:00</th>\n",
       "      <td>https://twitter.com/JoeBiden/status/1322725547...</td>\n",
       "      <td>We can and will solve the climate crisis — tog...</td>\n",
       "      <td>1262</td>\n",
       "      <td>2199</td>\n",
       "      <td>244</td>\n",
       "      <td>13888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01 02:41:00</th>\n",
       "      <td>https://twitter.com/JoeBiden/status/1322730450...</td>\n",
       "      <td>The character of our nation is on the ballot.\\...</td>\n",
       "      <td>5634</td>\n",
       "      <td>4116</td>\n",
       "      <td>593</td>\n",
       "      <td>35370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01 03:00:00</th>\n",
       "      <td>https://twitter.com/JoeBiden/status/1322735117...</td>\n",
       "      <td>To all the heroes who have served in our armed...</td>\n",
       "      <td>1740</td>\n",
       "      <td>3709</td>\n",
       "      <td>310</td>\n",
       "      <td>23793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01 03:20:00</th>\n",
       "      <td>https://twitter.com/JoeBiden/status/1322740143...</td>\n",
       "      <td>The words of a president matter. And time and ...</td>\n",
       "      <td>3962</td>\n",
       "      <td>13075</td>\n",
       "      <td>1260</td>\n",
       "      <td>87820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01 03:45:00</th>\n",
       "      <td>https://twitter.com/JoeBiden/status/1322746435...</td>\n",
       "      <td>.@BarackObama and I have seen the office of th...</td>\n",
       "      <td>2553</td>\n",
       "      <td>3332</td>\n",
       "      <td>344</td>\n",
       "      <td>26755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01 04:05:00</th>\n",
       "      <td>https://twitter.com/JoeBiden/status/1322751468...</td>\n",
       "      <td>The issues we’re facing are far bigger than an...</td>\n",
       "      <td>2569</td>\n",
       "      <td>4867</td>\n",
       "      <td>402</td>\n",
       "      <td>37950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01 04:30:00</th>\n",
       "      <td>https://twitter.com/JoeBiden/status/1322757759...</td>\n",
       "      <td>Vote like your health care is on the ballot — ...</td>\n",
       "      <td>2034</td>\n",
       "      <td>2768</td>\n",
       "      <td>240</td>\n",
       "      <td>19920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01 11:40:00</th>\n",
       "      <td>https://twitter.com/JoeBiden/status/1322865972...</td>\n",
       "      <td>As president, I’ll build an economy that rewar...</td>\n",
       "      <td>3085</td>\n",
       "      <td>3654</td>\n",
       "      <td>480</td>\n",
       "      <td>36995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01 12:01:00</th>\n",
       "      <td>https://twitter.com/JoeBiden/status/1322871257...</td>\n",
       "      <td>Let’s put dogs back in the White House. https:...</td>\n",
       "      <td>2211</td>\n",
       "      <td>4211</td>\n",
       "      <td>1246</td>\n",
       "      <td>34240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01 12:20:00</th>\n",
       "      <td>https://twitter.com/JoeBiden/status/1322876039...</td>\n",
       "      <td>We have in our hands the ultimate power: the p...</td>\n",
       "      <td>918</td>\n",
       "      <td>1143</td>\n",
       "      <td>122</td>\n",
       "      <td>6954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01 12:40:00</th>\n",
       "      <td>https://twitter.com/JoeBiden/status/1322881072...</td>\n",
       "      <td>We need to:\\n\\nBuild bridges, not walls.\\nOpen...</td>\n",
       "      <td>1281</td>\n",
       "      <td>2255</td>\n",
       "      <td>344</td>\n",
       "      <td>16696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01 13:01:00</th>\n",
       "      <td>https://twitter.com/JoeBiden/status/1322886357...</td>\n",
       "      <td>Jodie –– you have my word: I will always stand...</td>\n",
       "      <td>168</td>\n",
       "      <td>270</td>\n",
       "      <td>37</td>\n",
       "      <td>1648</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                   url  \\\n",
       "timestamp                                                                \n",
       "2020-11-01 00:10:00  https://twitter.com/JoeBiden/status/1322692328...   \n",
       "2020-11-01 00:23:00  https://twitter.com/JoeBiden/status/1322695600...   \n",
       "2020-11-01 00:40:00  https://twitter.com/JoeBiden/status/1322699878...   \n",
       "2020-11-01 01:01:00  https://twitter.com/JoeBiden/status/1322705178...   \n",
       "2020-11-01 01:20:00  https://twitter.com/JoeBiden/status/1322709944...   \n",
       "2020-11-01 01:40:00  https://twitter.com/JoeBiden/status/1322714977...   \n",
       "2020-11-01 02:04:00  https://twitter.com/JoeBiden/status/1322721017...   \n",
       "2020-11-01 02:22:00  https://twitter.com/JoeBiden/status/1322725547...   \n",
       "2020-11-01 02:41:00  https://twitter.com/JoeBiden/status/1322730450...   \n",
       "2020-11-01 03:00:00  https://twitter.com/JoeBiden/status/1322735117...   \n",
       "2020-11-01 03:20:00  https://twitter.com/JoeBiden/status/1322740143...   \n",
       "2020-11-01 03:45:00  https://twitter.com/JoeBiden/status/1322746435...   \n",
       "2020-11-01 04:05:00  https://twitter.com/JoeBiden/status/1322751468...   \n",
       "2020-11-01 04:30:00  https://twitter.com/JoeBiden/status/1322757759...   \n",
       "2020-11-01 11:40:00  https://twitter.com/JoeBiden/status/1322865972...   \n",
       "2020-11-01 12:01:00  https://twitter.com/JoeBiden/status/1322871257...   \n",
       "2020-11-01 12:20:00  https://twitter.com/JoeBiden/status/1322876039...   \n",
       "2020-11-01 12:40:00  https://twitter.com/JoeBiden/status/1322881072...   \n",
       "2020-11-01 13:01:00  https://twitter.com/JoeBiden/status/1322886357...   \n",
       "\n",
       "                                                                 tweet  \\\n",
       "timestamp                                                                \n",
       "2020-11-01 00:10:00  Tonight marks our last end-of-month fundraisin...   \n",
       "2020-11-01 00:23:00  President Trump doesn’t care about you. He doe...   \n",
       "2020-11-01 00:40:00  You’re absolutely right, Brayden — no one shou...   \n",
       "2020-11-01 01:01:00  Vote for equality.\\nVote for the planet.\\nVote...   \n",
       "2020-11-01 01:20:00  Together, we can end the last four years of ch...   \n",
       "2020-11-01 01:40:00  Un número récord de latinos son elegibles para...   \n",
       "2020-11-01 02:04:00  The hard truth is that under President Trump, ...   \n",
       "2020-11-01 02:22:00  We can and will solve the climate crisis — tog...   \n",
       "2020-11-01 02:41:00  The character of our nation is on the ballot.\\...   \n",
       "2020-11-01 03:00:00  To all the heroes who have served in our armed...   \n",
       "2020-11-01 03:20:00  The words of a president matter. And time and ...   \n",
       "2020-11-01 03:45:00  .@BarackObama and I have seen the office of th...   \n",
       "2020-11-01 04:05:00  The issues we’re facing are far bigger than an...   \n",
       "2020-11-01 04:30:00  Vote like your health care is on the ballot — ...   \n",
       "2020-11-01 11:40:00  As president, I’ll build an economy that rewar...   \n",
       "2020-11-01 12:01:00  Let’s put dogs back in the White House. https:...   \n",
       "2020-11-01 12:20:00  We have in our hands the ultimate power: the p...   \n",
       "2020-11-01 12:40:00  We need to:\\n\\nBuild bridges, not walls.\\nOpen...   \n",
       "2020-11-01 13:01:00  Jodie –– you have my word: I will always stand...   \n",
       "\n",
       "                     replies  retweets  quotes   likes  \n",
       "timestamp                                               \n",
       "2020-11-01 00:10:00     1376      1059     123    6230  \n",
       "2020-11-01 00:23:00     4446     16222    1381   72722  \n",
       "2020-11-01 00:40:00     1354      4940     809   25911  \n",
       "2020-11-01 01:01:00     6701      8663    1186   63883  \n",
       "2020-11-01 01:20:00     2747      3241     492   15284  \n",
       "2020-11-01 01:40:00     1060      1721     201    8630  \n",
       "2020-11-01 02:04:00     6502     22859    2431  168198  \n",
       "2020-11-01 02:22:00     1262      2199     244   13888  \n",
       "2020-11-01 02:41:00     5634      4116     593   35370  \n",
       "2020-11-01 03:00:00     1740      3709     310   23793  \n",
       "2020-11-01 03:20:00     3962     13075    1260   87820  \n",
       "2020-11-01 03:45:00     2553      3332     344   26755  \n",
       "2020-11-01 04:05:00     2569      4867     402   37950  \n",
       "2020-11-01 04:30:00     2034      2768     240   19920  \n",
       "2020-11-01 11:40:00     3085      3654     480   36995  \n",
       "2020-11-01 12:01:00     2211      4211    1246   34240  \n",
       "2020-11-01 12:20:00      918      1143     122    6954  \n",
       "2020-11-01 12:40:00     1281      2255     344   16696  \n",
       "2020-11-01 13:01:00      168       270      37    1648  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = data.set_index('timestamp')\n",
    "data.loc['2020-11']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2bb8b487c0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['likes'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2bb5e56940>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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U2FlZjyqccZyzzPeOKK72qmnwf/lfb71dCvilz5zV01fsPBjwNbtjAcUYExU8DfJnjB8MRG8Jpbm1nYaWNtITg1PlBd0Pbtxf28jSkkoAVu6ygGKMMYcDytT8TAalJkRt1+HaIEy74jEks+fpVxat3ku7woyRWazYeQDV0LWjWEAxxkSF7ZV15KQmkJkcT2FOStRWeR1ZXCuIJZRuAsrLq/Ywfkg6V84q4EB9CzurQheIewwoIrJQRPaLyBqvtEEislhENrv32V7bbhWRLSKyUUTO80qfJSKr3W33iTtEVEQSReQpN32piBR5HXOte43NInJtsJ60MSb6bCuvY1RuKgBFOalRW+V1ZHGtwEsoqYlxpHezFHBZdQOfbj/ARccPY3pBFhDaaq/elFAeBs7vlPZj4C1VHQe85f6NiEwC5gGT3WP+IiKx7jH3AwuAce7Nc87rgQOqOha4F7jLPdcg4HbgRGAOcLt34DLGDCwlFXUUuQGlMCeFPdUNNLV237spEtU0BL78r7chmUldVnm9sqoMgIumDee4IWkkx8eGtGG+x4Ciqu8BVZ2SLwEecR8/Alzqlf6kqjapagmwBZgjIsOADFVdok4F3qOdjvGc61ngLLf0ch6wWFWrVPUAsJijA5sxZgCoa2plf23T4RJKYU4KqrCrqiHMOeu7YJZQwB2L0kVAeXlVGZOHZzAqN5W42BiOz89kRZhLKL4MUdUyAPd+sJs+AtjltV+pmzbCfdw5vcMxqtoKVAM53ZzLGDPAeBrkRx8OKM59NLajeBbXCnQuL4+ulgLeVVXPyl0Huej44YfTpo/MYt2eahpbQlOyC3ajvK+pM7WbdH+P6XhRkQUiUiwixeXl5b3KqDEmengCSpFXGwpE5ySRwVhcy9vQzESfSwG/stqt7jp+2OG0GQVZtLQp68pqgnLtzvwNKPvcaizc+/1ueilQ4LVfPrDHTc/3kd7hGBGJAzJxqti6OtdRVPVBVZ2tqrPz8vL8fErGmEjlmWXYE0iyU+JJT4qLyhJKbWMrMQKpCbE979wLQzOcpYAr6po6pL+8ag/TCrIoGJRyOG3GSKcZemWI2lH8DSgvAp5eV9cCL3ilz3N7bo3CaXz/xK0WqxWRk9z2kWs6HeM51xXA2247y+vAuSKS7TbGn+umGWMGmJKKOoZnJpHsfgmLCEU5qdFZQmlwZhoOZC0Ub4eXAq4+ElC2V9SxZncNF3uVTjz7DstMClk7So+VeCLyBHAGkCsipTg9r34NPC0i1wM7gSsBVHWtiDwNrANagZtU1VNZdyNOj7FkYJF7A3gIeExEtuCUTOa556oSkTuAT939fqmqnTsHGGMGgJLKIz28PApzUlizuzpMOfJfTWNr0BrkoePKjVPJBJzSCcCFU4cdtf/0gixW7grNAmU9BhRVnd/FprO62P9O4E4f6cXAFB/pjbgByce2hcDCnvJojDm2lVTU8R+dvhwLc1J4bc1eWtraiY+NnjHaTgklOA3y4Htw40uflTG7MJvhWclH7T9jZBaL1uyl4lATuWmJQcsH2Eh5Y0yEO1DXzMH6lsNdhj0Kc1JpbVf2HIyursM1jS2kJwavhJLjWQrY7em1eV8tG/fVcvG04T73n14QunYUCyjGmIhW4ja8dw4o0drTy5lpOHgllMNLAbsllJdWlREjcMHUoT73nzoik9gYCcmIeQsoxoTByl0H+dzdb/NM8a6edx7gSsq7CihO76Vo6+lVG6S1ULx5RsurKi+v2sOJo3IYnJ7kc9/khFgmDE23gGLMseCdjfuZ/+DH7Kpq4O/vl4R09tdjQUlFHbEx0qH7K0BeeiLJ8bFsr4iyEkpjcNZC8TY0I5G91Y2sL6tlW3kdF007ujHe2/SCLD7bdTDoKzhaQDGmHz1TvIv/fKSY0XmpfPescWzcV8vaPaEZZHasKKmsoyA7+aiGdxGhMCeFnVXRU0JpbWvnUFNwe3nBkelXXl61h9gY4YIp3QeUGSOzqW1qZWv5oaDmwwKKMf1AVfnT25v5r2dXcfKYHJ765ly+dkoRCbExPLustOcTDGAlXrMMd1aYkxJVbSiHmoI3db23IZlJ1Da28vyK3Zw8JodBqQnd7u+ZeTjY41EsoBgTYm3tym0vrOW3b2zi0unDeejaE0hLjCMrJYGzJw3mxc/20NzaHu5sRiRVZbuPMSgeRTmp7Kyspy3IVTeh4plpOD0EJRSAsupGLj7ed+8ub6NzU0lPigv6zMMWUIwJocaWNm56fDmPfbyDb542mnu+NJ2EuCMfuy/OzKeqrpl/b9zfzVkGrv21TdQ3tx2eFLKzwpxUmtvae1xTPVIcmWk4uCUUT0CJjxXOm+y7d5e3mBhxBzhaQDEmKlTXt3D1Q0t5fd1ebrtoErdeOJGYmI7TbZx2XB65aQk8t9yqvXzZVt5xUsjODvf0qoiOdpRgTwzp4VkK+HPj8shM6d25ZxRksXFvDXVuNVwwWEAxJkS+9/RKPttVzR/nz+Drp47yuU98bAyXTB/B2xv2c6CuuZ9zGPm2dzEGxaPQTd8RwmVtg+nw4lpBrvLKz05mWkEW151c1Otjpo/Mol1hdRCnr7GAYkwIqCqflFTxpRPyO6xH4csXZ+bT0qa8+JnPybRDYvO+WvZHQTVRSUUdCXExDM88egoRcKp6EmJjDgeeSHekhBLcKq/EuFheuOkUTjuu97OtHx4xH8RqLwsoxoRA6YEGDjW1MnFYRo/7ThqewcRhGf1W7VXT2MLl93/Efz5aHPRxCMG2rbyOopyUo6oKPZzxKcnsiJKxKJ7FtYJd5eWPQakJFOaksGJn8CaKtIBiTAhs3FsLwISh6b3a/4szR7CqtJrN+2pDmS0AHluyg9rGVlaVVvPSqv4rFflje2XXXYY9nGnso6WE0ooIpCUEt4Tir2A3zFtAMSYENrqB4bghvQsol0wfQWyM8GyISyn1za38/f1tnH5cHpOHZ3D3axtDthxsoNralR2VdYzKTet2v8KcVHZW1UfFjAO1jS2kJcZ1WeLqbzMKsthX00RZdXAm2LSAYkwIrC+rIT87udfjDfLSEznjuDz+tWJ3SMdU/GPpTg7Ut/Cds8by0wsnsvtgA48u2R6y6wVi94EGWtqUUbkp3e5XlJtCfXMb5Yeaut0vEtQ0BH+UfCCmuys4Bms8igUUY0Jg497aXld3eXxxVj77apr4YEtFSPLU2NLGg+9tY+7oHGYVDuLksbmcOT6PP769JSJ7mB2ZZbj7EsrIQZ5JIsPfjlLrNrp3paaxJSLaTzwmDcsgIS4maNVeFlCMCbKm1ja2VdQxvo8B5ayJg8lMjue5EE3F8uyyUvbXNnHz58ceTrv1wonUNbVy39ubQ3LNQJS480wV9VRC8UxjH+axKO9uKmfGLxfz5Cc7u9ynpqEl6IMaA5EQF8Pk4RlBWxvFAooxQbZ1fx1t7cr4oT338PKWGBfLxdOG8fravYe7lwZLS1s79/97KzNGZnHymJzD6ccNSeeqEwr4v493hP0LubOSijrSEuPI62FVwRHZycTGSK9KKHVNrazbU0NLW3CnumlrV371ynpa25VfvLSuy0kXQzHTcKCmF2SxarcFFGMi0sZ9zuzBfa3yAmdMSlNrO6+uKgtqnl5YuYfdBxu4+cyxiHRsEP7e2ccRHxvD3a9vCOo1A1VSWc+o3NSj8ttZfGwM+dnJverp9dPnV3Phfe8z5fbXufKBj/jVq+tZtLqMfQGOyXl22S427qvltosmkRgfwy1PrvQ5P1tNQwvpEVRCAWfm4caW4ARYvwOKiIwXkZVetxoRuUVEfi4iu73SL/Q65lYR2SIiG0XkPK/0WSKy2t12n7jvIBFJFJGn3PSlIlIUyJM1pj9sKKslITamx+6uvkwvyGJ0XmpQx6S0tSt/eWcLE4dl8PkJg4/aPjgjiW+eNoZXV+9l2Y6exyQcrG/mXyt2B/1XfmclFYe6nHKlM09Pr+7srW7k5VVlnDtpCF89qZC2duXhD7dz4+PLOfFXb3Hy/77FTY8v56M+tmHVN7dyz+JNzBiZxddOKeLXlx/P6t3V/P7NTUftG4rFtQI1w515OBj8DiiqulFVp6vqdGAWUA88726+17NNVV8FEJFJwDxgMnA+8BcRiXX3vx9YAIxzb+e76dcDB1R1LHAvcJe/+TWmv2zYW8uYwWlHrd/RGyLCF2fm8+n2A0FbiXDRmjK2VdT5LJ14fOO0UQxOT+TOV9Z12/128bp9nHPve9zy1Er++PaWoOTPl6bWNnYfaOh1UC7KSaGkoq7bvD/28XbaVfnZRZP42UWT+Oe3TmH1L87l+W+dzG0XTWJmYTafbK/i+keK2bK/9+uEPPR+CftqmvjJhRMREc6fMpSrZhdw/7tb+Xhb5eH92tuV2qbIq/LKz04mp4fp7nsrWFVeZwFbVXVHN/tcAjypqk2qWgJsAeaIyDAgQ1WXqPNueBS41OuYR9zHzwJnSVefCGMihD89vLxdNmMEIvDc8t0B58VZh2ULY/JSOX9K17PQpiTE8YNzj2P5zoMsWrP3qO0H65u55ckVfOPRYnLTEvn8hMH8+Z0trCoN/jKyALuq6mlXupxluLORg1KobWzlYL3vtqeG5jb+sXQn50wa0mHlx8S4WGaMzObrp47iT1+eycvfPpXkhFhu/sfyXo3PKa9t4oF3t3LupCGcUDTocPptF0+icFAK339qJdVung41t6Ia/JmGAyUizBgZnFJKsALKPOAJr79vFpFVIrJQRLLdtBGA9wLapW7aCPdx5/QOx6hqK1AN5GBMhKqub2FvTWOfe3h5G56VzMljcvjn8tKAp0Z5a/1+Nuyt5VtnjCW2h8F0V8wqYPyQdO56bUOH+v831u7l7Hve4+VVZdxy9jheuOkU7v3SdHLTEvjB05+FZGBkT7MMd3a4p1cXpbp/rdzNgfoWvn6K70k6PYZkJPG7L01jw95a7nh5XY/X/cNbm2hsbedHF0zokJ6aGMcf5s1gf20TP/3XalQ1oqZd6Wx6kKq9Ag4oIpIAfAF4xk26HxgDTAfKgN95dvVxuHaT3t0xnfOwQESKRaS4vLy8D7k3Jrg27HUa5AMJKOA0zpceaODB97f5PQJcVfnTO1vIz07mC9N7XnQpNka49cIJ7Kis5/8+3sGBuma+++QKFjy2jLz0RF64+RRuOfs4EuJiyEyJ564vHs/m/Ye4d/HRbQWBOjzLcE4vA0pu12NRVJWFH5QweXgGc0YNOmp7Z2eOH8w3TxvN40t38ko3nSO2lh/iiU928eU5IxmTd/RYmWkFWdxy9jheXlXG8yt2h2ym4WC4em5RUM4TjBLKBcByVd0HoKr7VLVNVduBvwFz3P1KgQKv4/KBPW56vo/0DseISByQCVR1zoCqPqiqs1V1dl5e72fbNCbYNrhzeE3sY5fhzi46fjjnTR7Crxdt4NZ/rvZrRccPt1SyctdBbjxjTK/bc04/Lo/Pjcvl929u4px73+MVr1LJ5OGZHfY9Y/xg5s8p4MH3t7Fsx1Efy4CUVNQxKDWh12t75GenIOK7hPLBlgo27z/E108Z1WOPMY8fnjeeGSOz+PFzq9jZRXfkuxZtIDk+lu+ePa7L89x4xlhOKMrmthfWsnaPM018pFV5AWQGqdQUjIAyH6/qLrdNxOMyYI37+EVgnttzaxRO4/snqloG1IrISW77yDXAC17HXOs+vgJ4W6Nhwh4zYG3YW0tmcjxDMrofO9GThLgY7v/KLG4+cyxPfrqLqx9aSlUfR7P/6Z3NDMlI5IpZ+T3v7BIRbr1gInXNbQxOT+TFm089XCrx5af/MYkRWcn84OnPqG8O3kJN27pZR96XpPhYhmcm+/zyX/hBCblpiVw0bZiPI32Lj43hvnkzEIFvP7H8qID+SUkVb6zbxw2njya3m3EysTHCvVdNR4BfvORUoUVilVewBBRQRCQFOAf4p1fy3W4X4FXAmcD3AFR1LfA0sA54DbhJVT2VrzcCf8dpqN8KLHLTHwJyRGQL8H3gx4Hk15hQ27i3hvFD03v9S7g7MTHCD88bz++vms6KXQe59M8f9no24k+3V/HxtioWnDaGxLjYng/wMml4Bu//f2fyws2nMGl49yWttMQ4fnPFNLZX1nP3azdoLo0AACAASURBVBv7dJ3u9GaW4c5GDko5qoSytfwQ72ws56snjezz61AwKIW7rziez0qrufu1I2N0VJVfvbqeIRmJXH/q6B7Pk5+dwv9cNoVDTZFb5RUsAQUUVa1X1RxVrfZKu1pVp6rq8ar6BbcE4tl2p6qOUdXxqrrIK71YVae42272lEJUtVFVr1TVsao6R1W3BZJfY0JJVdm071BAPbx8uXTGCJ5ccBL1zW1c/pePeKeL9ecPNbXyrxW7uf7hT/ny3z4mNy2B+XMKfO7bk+FZyb2uJps7JofrTi7i4Y+293kMhy91Ta3sq2nqc0Apyk05qg3l4Q+3kxAbw1dOLPQrL+dPGcY1cwv5+wclvLV+HwCvrt7Lyl0H+cE540lO6F2QumT6CC6dPpzYGCE71QKKMaYHnkW1JgTYfuLLzJHZvHDzKRQMSuH6hz/loQ9KUFUaW9pYtLqMbz2+jFl3LOaWp1ayvqyGr50yimduOJmUflp340fnT2BUbir/9eyqHidI7ElPy/52pTAnlcq65sPT1lTXt/DsslK+MH04een+V0H+5MKJTBqWwQ+e+YydlfXc/foGJgxN54t9qEoEuPuKabz87VN7PQN1NIq81iFjopSnQT7QHl5dGZGVzLM3zuV7T63kjpfX8erqMjaU1VDX3EZuWgLzTijg4mnDmTkyu9/X20hOiOW3V07jygc+4s5X1vPrLx7v97lKKvwLKEU5Tk+vnZX1TBmRyVPFO2loaeNrpxT5nRdw2mf+9OUZXPTHD/jCnz/gYH0LD3/thB67YXeWEBfTqxU8o5kFFGOCZGOQugx3JyUhjvu/Movfv7mJ51fu5uJpw7l42nBOHDWIOD9G5gfTrMJsFpw2hgfe3cp5k4dypo9pXnqjxDMGpZddhj0K3f13VNYzYWg6j3y0g5NGDzqqd5o/RuelcedlU/jeU59x6thcTu/D2u0DiQUUY4Jkw95a8rOTSUsM7ccqJkb4/rnj+f6540N6HX9875xxvL1hH996fDkzC7OYMiKT40dkMXVEJgWDknvVWaGkso5hmUm9bp/wKHRLKNsr63hj3T52H2zg9osn+fU8fLlsRj4pCXHMGJkVlE4XxyILKMYESaBTrhwLEuNi+ds1s/nre9tYXVrNwg9KaGlzevpnJsczdUQmU0ZkUpSTQnJCLIlxsSQnxJIcH0tSfAzJ8bFs2lfb59IJOKW3vPREdlTW8c6G/YwclMJZE4cE9fmdN7nr6WuMBRRjgsKzqJZ94ThVT7+6bCrgvC6b9h5i1e6DrNldzarSav7+/jZae5hS5uqT/OuVVZSTwtsbyqk41MRtF03qczuHCYwFFGOC4MiiWgO7hNJZYlwsU/MzmZp/pB2jqbWNikPNNLa0ed3aaWhuo7G1jaaWdj53XK5f1yvMSeXT7QdIS4zjytl964VlAmcBxZgg8MzhNdCrvHojMS6WEVnJITm3p6fXlbPzj+nuuZHKxqEYEwQb9zqLavV2dlwTGjMLs8lMjudrJ3c/q7AJDSuhGBMEgSyqZYLn5DG5rLztHOuFFSb27jcmCDburWWiVXdFBAsm4WMBxZgAHaxvDnhRLWOOBRZQTFRraWunpa3va4UEU6inXDEmWlhAMVGrvV25+qGlXPPQJ2HNx0Y3oIRiUkhjook1ypuo9XTxLj7e5qwUuGFvTdi+0DfsrSUrJfBFtYyJdlZCMVGp8lAT/7toA9MKskiIjeHJT3aFLS8b99YwfkhwFtUyJppZQDFR6VevbqCuqZXfXnE8508Zyj+Xl9LY0tbzgUHW3h6aRbWMiUYWUEzUWbK1kueWl7LgtNGMG5LOvDkF1DS28urqsp4PDrLdB51FtcZb+4kxFlBMdGlubee//7Wa/Oxkvv35cQDMHZ1DUU5KWKq9rIeXMUcEFFBEZLuIrBaRlSJS7KYNEpHFIrLZvc/22v9WEdkiIhtF5Dyv9FnuebaIyH3iVkaLSKKIPOWmLxWRokDya6Lf397fxtbyOu64ZMrh9TJEhHlzRvLJ9iq27K/t1/z0x6JaxkSLYJRQzlTV6ao62/37x8BbqjoOeMv9GxGZBMwDJgPnA38REc8KOvcDC4Bx7u18N/164ICqjgXuBe4KQn5NlNpZWc99b23mgilHrwZ4xax84mOl30spG/bWUjAo9ItqGRMNQlHldQnwiPv4EeBSr/QnVbVJVUuALcAcERkGZKjqElVV4NFOx3jO9SxwllhXmgFJVfnZC2uIixFuv3jyUdtz0xI5Z9IQnlteSlNr/zXOb9xby/gh1n5iDAQeUBR4Q0SWicgCN22IqpYBuPeen5IjAO+fj6Vu2gj3cef0DseoaitQDeQEmGcThRat2cu7m8r5wbnjGZqZ5HOf+XNGcqC+hdfX7uuXPHkW1bIeXsY4Ag0op6jqTOAC4CYROa2bfX2VLLSb9O6O6XhikQUiUiwixeXl5T3l2USZ2sYWfvHSWiYPz+CauV2v5HfKmFwKBiXzxNKd/ZKvLfsP2aJaxngJKKCo6h73fj/wPDAH2OdWY+He73d3LwUKvA7PB/a46fk+0jscIyJxQCZQ5SMfD6rqbFWdnZeXF8hTMn5yaitD457Fm9hf28Sdl00lrpvp4WNihHknjGTJtkpKKupClh8Pz5QrE4dZQDEGAggoIpIqIumex8C5wBrgReBad7drgRfcxy8C89yeW6NwGt8/cavFakXkJLd95JpOx3jOdQXwtobym8v0mapyyZ8/5PYX14bk/Gt2V/PIR9v56omFTC/I6nH/K2flExsjPPlpaEspK3Ye4JElO0iIi6EoxxbVMgYCm8trCPC820YeB/xDVV8TkU+Bp0XkemAncCWAqq4VkaeBdUArcJOqelpPbwQeBpKBRe4N4CHgMRHZglMymRdAfk0ILN95kM92HWR16UGuO7mI0XlpQTt3W7vyk+dXMyg1kR+eN75XxwzOSOKsCYN5blkpPzhnPAlxwe13snznAf7w5mbe3VROdko8/3PJlG5LTcYMJH4HFFXdBkzzkV4JnNXFMXcCd/pILwam+EhvxA1IJjI9u2wXyfGxiMDv39zMffNnBO3cjy/dwarSav4wbzqZyb1fH3z+iSN5Y90+3ly/jwunDgtKXpbtqOL3b27m/c0VDEpN4EfnT+CauYWkWndhYw6zT4PxW0NzGy99VsYFU4cyJCOJB97dyk1njg1KI/X+mkZ+89pGTh2byxemDe/TsaeNy2NEVjJPfLIz4IBSvL2KP7x1JJD8+IIJXH2SBRJjfLFPhfHba2vLONTUypWzCpg4LJ3/W7KDexdv4oGrZwV87jteWU9TWzt3XDqlz7P4xsYIX5pdwL1vbmJXVT0Fg1L6fP2Pt1Vy31ub+WhrJTmpCdx6wQS+aoHEmG5Z5a/x2zPFpRQMSubEUYPISkng+s+N4rW1e1ldWh3Qed/bVM5Ln+3hpjPGMirXvwbvL52QT4zAU5/2fuS8qvLB5gq+9NclzHvwYzbtO8RPLpzA+z86k2+ePsaCiTE9sIBi/FJ6oJ6PtlZyxcwCYmKcEsTXTx1FZnI89yze6Pd5G1va+NkLaxidm8oNZ4z2+zzDMpM5c/xgni7eRWsPSwSrKu9s3M/l93/EVx9ayo7KOm6/eBIf/OhMFpw2hpQECyTG9IZ9Uoxfnlu2G4AvzhpxOC0jKZ5vnj6au1/byLIdB5hVmN3V4V36yztb2FFZz+P/eSKJcbE9H9CNeXNG8tajxdzx8jqKclNJiIshITamw31tYysLPyxhVWk1I7KSuePSKVw5K5+k+MCubcxAZAHF9Fl7u/Ls8l2cPCaH/OyO7RPXnVzEwg9KuGfxRh7/z5P6dN4t+w9x/7tbuXT6cE4ZmxtwPs8cn8fovFQeWbKj2/1GDkrh15dP5fKZ+UHvZmzMQGIBxfTZ0pIqdlU18P1zjjtqW0pCHDecPob/eWU9H22t4OQxvQsMqsp//2s1yfGx/PQ/JgUln3GxMbz5vdNpaGmjubWd5rZ2mlvbaWp17lva2mlXZcqITOJtLIkxAbOAYvrsmWW7SE+M4/zJvrvkfvWkQv72/jbueWMTc2/I6VUvredX7ObjbVXcedkU8tITg5bXmBghNTGO1OCd0hjTBftZZvrkUFMri1bv5aJpww4vcNVZUnwsN39+HMU7DvDe5ooez3mwvpk7X1nPjJFZzD9hZLCzbIzpJxZQTJ+8uqqMhpY2rphV0O1+V80uYERWMr97Y2OPE0fe9dpGDja0cOelUw/3GDPGRB8LKKZPnlm2i9F5qcwc2f1EjQlxMXz3rHGsKq1m8bqO65O0tysb9taw8IMSvvFoMU98spOvn1LEpOG2UJUx0czaUEyvlVTU8en2A/zo/Am9ahe5fOYI/vLvLdyzeBOj89L4eFslS7ZWsmRbJVV1zQAU5qRw7dxCvuejgd8YE10soJhee3bZLmLECRS9ERcbwy1nH8ctT63k7HveBWBYZhJnjM9j7ugc5vrodmyMiV4WUEyvtLUrzy3bzWnH5TEkw/cSvL5cPG04uw82kJ2SwNwxORTlpPR5bi5jTHSwgGJ65cMtFeytaeRnF/VtjEhsjHDTmWNDlCtjTCSxRnnTK88sKyUrJZ6zJw0Od1aMMRHKAorpUXV9C6+v3csl04YHPL+WMebYZVVehoP1zby+di/NbYqq0t6utCu0q6IK68tqaG5t58rZ3Y89McYMbBZQBrjdBxu4+u9L2VZR1+1+swuzmWzjRIwx3fA7oIhIAfAoMBRoBx5U1T+IyM+BbwDl7q4/UdVX3WNuBa4H2oDvqOrrbvos4GEgGXgV+K6qqogkuteYBVQCV6nqdn/zbDravK+Wqx/6hLrmVv7v+hMZPzSdGIEYEWJEkBjPY0iKi7XeWcaYbgVSQmkFfqCqy0UkHVgmIovdbfeq6m+9dxaRScA8YDIwHHhTRI5T1TbgfmAB8DFOQDkfWIQTfA6o6lgRmQfcBVwVQJ6Na8XOA3zt4U+Jj43h6W/OZeIwK30YYwLjd6O8qpap6nL3cS2wHuhuxNslwJOq2qSqJcAWYI6IDAMyVHWJOpM+PQpc6nXMI+7jZ4GzxH4mB+y9TeV85e9LyUiK57kbTrZgYowJiqD08hKRImAGsNRNullEVonIQhHxLNs3AvBe4LvUTRvhPu6c3uEYVW0FqoGcYOR5oHp51R6uf+RTCnNSefbGuYzMsZHqxpjgCDigiEga8Bxwi6rW4FRfjQGmA2XA7zy7+jhcu0nv7pjOeVggIsUiUlxeXu7jEAPw2Mc7+PYTK5hekMWTC05icHrvR7wbY0xPAgooIhKPE0weV9V/AqjqPlVtU9V24G/AHHf3UsC732k+sMdNz/eR3uEYEYkDMoGqzvlQ1QdVdbaqzs7LywvkKR2TVJX73trMz/61hs+PH8yjXz+RzOT4cGfLGHOM8TuguG0ZDwHrVfUer3TvZfwuA9a4j18E5olIooiMAsYBn6hqGVArIie557wGeMHrmGvdx1cAb2tPi2uYo7y+di/3LN7E5TNG8MDVs7pcGMsYYwIRSC+vU4CrgdUistJN+wkwX0Sm41RNbQe+CaCqa0XkaWAdTg+xm9weXgA3cqTb8CL3Bk7AekxEtuCUTOYFkN8BqaWtnbte28i4wWncfcXxxNna6caYEPE7oKjqB/hu43i1m2PuBO70kV4MTPGR3ghc6W8eDTz56S5KKur4+zWzLZgYY0LKvmGOYXVNrfzhzc3MKRrEWRNtUkdjTGhZQDmG/e39bVQcauLWC3u3wqIxxgTimAsouw80sL+2MdzZCLvy2iYefG8bF04dyoyR2T0fYIwxATrmAsqB+mbO/t27PPnJTgZyh7D73tpMc2s7/3XehHBnxRgzQBxzAWXckHQmDsvgx/9czbwHP2Zr+aFwZ6nflVTU8cQnO5k/ZySjclPDnR1jzABxzAWUxLgYnvjGSfz68qmsL6vhgj+8zx/dX+sDxW9e30BiXAzfOWtcuLNijBlAjrmAAhATI8ybM5I3f3A6504awu8Wb+KiP77Psh0Hwp21kFu+8wCvrt7LN04bTV56YrizY4wZQI7JgOIxOD2JP315Jguvm82hxlaueOAjbn9hDU2tbT0fHIVUlV+/uoHctES+8bnR4c6OMWaAOaYDisfnJwxh8fdP59q5RTyyZAfzH/yY/TXHXk+wt9bv55PtVXz37HGkJtpinMaY/jUgAgpAamIcP//CZP7ylZmsL6vlC3/6kM92HQx3toKmta2du17bwOjcVOadYGu/G2P634AJKB4XTh3GczeeTFyscOVfl/D8itKeD4oCzy0vZfP+Q/zXeeOJtylWjDFhMCC/eSYNz+DFm09l5sgsvvfUZ/zq1fW0tUffmJWG5jbe2bCf215Yw52vrGfGyCzOnzI03NkyxgxQA7aifVBqAo9dfyL/8/I6HnxvG+vLavjT/JlkpnRcJ0RVKT/UREl5HTuq6hmakcTsomxSEvx/6drbldqmVmoaWqj2urW1K7lpieSlJ5CblkhmcvxRU6bsqKzjnQ37eWdjOR9vq6SptZ3k+FhOGZvDjy+YaFOsGGPCZsAGFID42Bh+cckUJg7L4GcvrOGSP3/AjWeMYffBRkoq6iipOMT2inoONbV2Ok6YXpDF3DG5zB2dw4yRWSTFd1xjpLWtne2Vdawrq2VDWQ3ry2rYVlHHwfoWahtb6E2BKD5WyE1LdG8J7KisZ1tFHQCjc1P5yomFnDkhjxOKBh11fWOM6W9yrE1PMnv2bC0uLu7zccXbq7jh/5ZTcaiJGIH87BSKclMZnZvKqNxUinJTKRyUwo6qepZsrWTJ1gpW766mXZ3BlLMKs5k5Mpv9tY2sL6tl075amtzBlHExwtjBaYwdnMag1AQyk+PJTI4nw7333GJEqDzURPmhJsprm6g41EzF4cdN5KUncub4wZwxPo/CHBsBb4wJHhFZpqqzAzqHBZQjahtb2FfTSMGgFBLjev7FX9PYwqclVXy0tZIlWytZV1ZDTmoCE4dlMHFYOhOGZjBxWAZjBqf26nzGGBMuwQgoA7rKq7P0pHjSk3q/1npGUjxnTRzCWROHANDU2kZCbIy1YxhjBiQLKEFkpRBjzEA2ILsNG2OMCT4LKMYYY4IiKgKKiJwvIhtFZIuI/Djc+THGGHO0iA8oIhIL/Bm4AJgEzBeRSeHNlTHGmM4iPqAAc4AtqrpNVZuBJ4FLwpwnY4wxnURDQBkB7PL6u9RNO0xEFohIsYgUl5eX92vmjDHGOKIhoPga1NFhNKaqPqiqs1V1dl5eXj9lyxhjjLdoGIdSCngv8JEP7Olq52XLlh0SkY3dnC8TqA7h9lygIgKv3dPx9roMvLxF67WP5byF89rju9nWO6oa0TecoLcNGAUkAJ8Bk7vZv7iH8z0Y4u1dXj+c1+7peHtdBmTeovLax3jeIvbavblFfAlFVVtF5GbgdSAWWKiqawM45Ush3h6p1+7peHtdQnPtSM5btF67p+3RnLdIvnaPjrnJIUWkWAOc4Cxarx/u594de118G6ivi/1Pjs1rR0OjfF89OICvH+7n3h17XXwbqK+L/U+OwWsfcyUUY4wx4XEsllCMMcaEgQUUY4wxQRG1AUVEDoXpum0istLrVtTNvv8WkaA0sImIishjXn/HiUi5iLwcjPMHg4hc5uZzQj9eMxpel7C8V/uSh2C+V93z9ft7obdE5KcislZEVrmf4RP7+fr5IvKCiGwWka0i8gcRSehm/1tEJCUI11UR+Z3X3z8UkZ8Hel5vURtQwqhBVad73bb303XrgCkikuz+fQ6wuy8nEJFQdxOfD3wAzOvLQe4EoP4K+HUxIeHXeyHURGQucBEwU1WPB86m49ROob6+AP8E/qWq44DjgDTgzm4OuwUIOKAATcDlIpIbhHP5FNUBRUTSROQtEVkuIqtF5BI3vUhE1ovI39xfIm94feGEIh+zRORdEVkmIq+LyDCvzV8VkY9EZI2IzAnwUouA/3Afzwee8MrDHPc6K9z78W76dSLyjIi8BLwR4PW7JCJpwCnA9bhfIiJyhoi8JyLPi8g6EXlARGLcbYdE5JcishSYG+Dl/Xld3heR6V77fSgixweYjy65r8XLXn//SUSucx9vF5FfeL2PQ/Krvrs8BPk6Xb0Xunr+F4rIBhH5QETuC3HpchhQoapNAKpaoap7uvoMuyW33wfxM/x5oFFV/597/Tbge8DXRSRVRH7rvgdWici3ReQ7wHDgHRF5J8Brt+L05Ppe5w0iUuh+l65y70eKSKb73vR8ZlNEZJeIdLlOelQHFKARuExVZwJnAr9zfwEAjAP+rKqTgYPAF4N0zWQ5Ut31vPvi/hG4QlVnAQvp+GsjVVVPBr7lbgvEk8A8EUkCjgeWem3bAJymqjOA24BfeW2bC1yrqp8P8PrduRR4TVU3AVUiMtNNnwP8AJgKjAEud9NTgTWqeqKqfhDgtf15Xf4OXAcgIscBiaq6KsB8BKLCfR/fD/wwjPkIhq7eC0dx/2d/BS5Q1VOBUE/G9wZQICKbROQvInJ6P3+GJwPLvBNUtQbYCfwnzowgM9zS0+Oqeh/OVFNnquqZAV4bnKVAviIimZ3S/wQ86rkucJ+qVuPMTHK6u8/FwOuq2tLVyaM9oAjwKxFZBbyJMwvxEHdbiaqudB8vA4qCdE3vKq/LcOa/mQIsFpGVwH/jzDfm8QSAqr4HZIhIlr8Xdr/winB+hb/aaXMm8IyIrAHuxXnjeixW1Sp/r9tL83G+2HHv57uPP1Fn6YE2nNfiVDe9DXguGBf283V5BrjI/TL5OvBwMPISgH+698F8r4ZLV+8FXyYA21S1xP37iW72DZiqHgJmAQuAcuAp4Jv002cY5zvL11gNAU4DHlDVVvd6Qf/MusHrUeA7nTbNBf7hPn6MI5/Tp4Cr3Mfz3L+7FPFTr/TgKzi/aGapaouIbAeS3G1NXvu1AaGq8hJgrap2VW3T+c0T6MCfF4HfAmcAOV7pdwDvqOpl4nQU+LfXtroAr9ktEcnBKcpPERHFmSJHcb7cu3r+jW6QCZY+vS6qWi8ii3HW1vkSEOrRya10/AGX1Gm75/3aRug+lz3lIWDdvBde7OLavmYTDyn3ffdv4N8ishq4if77DK+lU22JiGTgTIC7LcBz99bvgeXA/+tmH08+XgT+V0QG4QTit7s7cbSXUDKB/W4wORMoDEMeNgJ54jT2ISLxIuJdOrjKTT8VqHaLkYFYCPxSVVd3Ss/kSGP0dQFeo6+uwCkuF6pqkaoWACU4v3LmiMgotx72KpyG2lDw53X5O3Af8Gk/lOB2AJNEJNGtbjgrxNcLVx66ei/QxbU3AKPlSG/JqwghERkvIuO8kqYD6+m/z/BbQIqIXOOeMxb4HU4J+Q3gBnE7z7hf4gC1QHoA1+zAfa8/jdPG5fERRzpQfAX3c+qW6D4B/gC83NOPwKgMKO4L3oRT1zdbRIpxXoQN/Z0XdVaRvAK4S0Q+A1YCJ3vtckBEPgIeoOM/0N/rlarqH3xsuhvnl8SHOL8K+9N84PlOac8BXwaWAL8G1uB8sXTeLyj8eV1UdRlQQ/e/1ALiea+q6i6cD/EqnPftilBdM8x56O69cNS1VbUBp23iNRH5ANhH91OsByoNeEScTiKrcJYVv41++gyrMzXJZcCVIrIZ2ITTFvwTnB84O4FVbj6+7B72ILAoCI3y3n6HM1W+x3eAr7mvydXAd722PQV8lR6quyBKp14RkWnA31Q10B4XJoRE5Azgh6p6Ubjz4ouIDMep+pigqu0hukbY36uRkIfuiEiaqh5yO9T8GdisqveGO1/g9PLCeQ8Xhzsv0SDqSigicgNOI9l/hzsvJnq5VQ5LgZ+GMJiE/b0aCXnohW+4jeFrcaoo/xrm/Bg/RWUJxRhjTOSJ+BKKiBSIyDviDFRcKyLfddMHichicaYvWCwi2W76OeIMTlrt3n/e61yz3PQt4gyg6vceJsYYc6yK+ICC09XxB6o6ETgJuElEJgE/Bt5ypy94y/0bnPWYL1bVqcC1OH2qPe7H6X8+zr2d3z9PwRhjjn0RH1BUtUxVl7uPa3G6+I3AGT/wiLvbIzijc1HVFaq6x01fCyS5XRWHARmqusTtafGo5xhjjDGBi/iA4s3tqz4DpzF1iKqWgRN0gME+DvkisMKdt2cEUOq1rdRNM8YYEwRRM1JenAnnngNuUdWanpo/3IFJdwHnepJ87GY9EowxJkiiooTizrf0HM5kaZ45j/bJkRlBhwH7vfbPxxlcdY2qbnWTS+k4P08+zqRrxhhjgiDiA4rbE+shYL2q3uO16UWcRnfc+xfc/bOAV4BbVfVDz85utVitiJzknvMazzHGGGMCF/HjUNz5c94HVgOeAWg/wWlHeRoYiTNdwZWqWiUi/w3cCmz2Os25qrpfnBXpHsaZKHIR8G2N9BfAGGOiRMQHFGOMMdEh4qu8jDHGRAcLKMYYY4LCAooxxpigsIBijDEmKCygGGOMCQoLKGbAE5EsEfmW+3i4iDwbwmtNF5ELQ3V+Y8LJAooxkIWzDC2qukdVrwjhtaYDFlDMMcnGoZgBT0SexJm9eiPOgNiJqjpFRK7DmZE6FpiCsw53As6a203Ahe5g2jE4S9fmAfXAN1R1g4hcCdwOtOGsk342sAVnYO1u4H+BEuD3bloD8DVV3diHa/8bZw30OUAG8HVV/SQ0r5Qx3bMSijHOWjpbVXU68F+dtk0BvozzhX0nUK+qM4AlONP3ADyIM+vCLOCHwF/c9NuA81R1GvAFVW12055S1emq+hSwATjNPedtwK/6eG2AVFU9GaeUtTCwl8IY/0XNbMPGhMk77jo8tSJSDbzkpq8GjndnwT4ZeMZrBuxE9/5D4GEReRr4J75lAo+IyDic2a/je3ttr/2eAFDV90QkQ0SyVPWgn8/XGL9ZQDGme01ej9u9/m7H+fzEAAfd0k0HqnqDiJwI+V89fgAAAO5JREFU/AewUkSO2ge4AydwXOau9/PvPlz78KU6X7qb52NMyFiVlzFQC6T7c6Cq1gAlbnsJ4pjmPh6jqktV9TacpakLfFwrE6c9BeA6/7LPVe71TgWqVbXaz/MYExALKGbAU9VK4EMRWQP8xo9TfAW4XkQ+w1l2+hI3/Tcisto973vAZ8A7wCQRWSkiVwF3A/8rIh/iNMD744CIfAQ8AFzv5zmMCZj18jImirm9vH6oqsXhzosxVkIxxhgTFFZCMcYYExRWQjHGGBMUFlCMMcYEhQUUY4wxQWEBxRhjTFBYQDHGGBMUFlCMMcYExf8PTmCgykJO+HgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['likes'].resample('1W').mean().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['timestamp'] = data.index\n",
    "data['day_of_week'] = data['timestamp'].apply(lambda ts: ts.day_name())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "day_of_week\n",
       "Friday       482\n",
       "Monday       343\n",
       "Saturday     359\n",
       "Sunday       328\n",
       "Thursday     469\n",
       "Tuesday      442\n",
       "Wednesday    505\n",
       "Name: tweet, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.groupby('day_of_week').tweet.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Friday'"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "_.index[0]"
   ]
  },
  {
   "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}