Notebooks/eda-rea-v-liv-2018.ipynb

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    "# Table of contents\n",
    "* [Project Brief](#project-brief)\n",
    "* [Data Loading](#data-loading)\n",
    "* [Initial Data Exploration](#initial-data-exploration)\n",
    "    * [Samples, shapes and general stats](#samples)\n",
    "    * [Nulls](#nulls)\n",
    "    * [Timestamps](#timestamps)\n",
    "    * [Language](#language)\n",
    "* [Data Preparation](#data-preparation)\n",
    "* [Data Visualisation](#data-visualisation)\n",
    "    * [Correlation](#correlation)\n",
    "    * [Timeseries](#timeseries)\n",
    "    * [Wordcloud](#wordcloud)"
   ]
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   "source": [
    "# Project Brief <a class=\"anchor\" id=\"project-brief\"></a>"
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    "### Introduction\n",
    "This project will use a twitter dataset containing ~350k tweets during a football match, specifically the 2017-2018 Champions League Final in which Real Madrid beat Liverpool 3-1. Twitter is a social media platform where users can post text content and associate it to a topic using hashtags. It provides a platform for people to share and debate opinions along with other content. At this stage there are two questions that I have framed, practically only one can be explored in the remaining time, with the second being a more ambitious target.\n",
    "\n",
    "1. Is it possible to use a set of tweets to identify the occurence of key events in a football match? A real world application would be to create a \"match commentary\" bot that could be used by media outlets to generate real time match commentary.\n",
    "\n",
    "2. Can sentiment analysis be used to predict the outcome of a football match? Real world applications of this include aiding bookmakers in generating real time odds through to providing football clubs with an alternative information source for in-game decision making\n",
    "\n",
    "To assist with this analysis, I have also generated a dataset containing the ground truth of key events from the match itself. This can be seen in a dataframe named \"full_game_context_df\".\n",
    "\n",
    "### Observations\n",
    "#### Relevant fields\n",
    "The twitter dataset contains 38 columns, of these I have identified the following as being most relevant to the questions I wish to answer above. This is largely based on the definitions from twitter documentation https://developer.twitter.com/en/docs/twitter-api/v1/data-dictionary/overview/tweet-object.\n",
    "* id - The unique identifier for the tweet\n",
    "* text - The tweet text\n",
    "* extended_tweet - In some cases the tweet \"text\" is a truncated version of the full tweet, therefore in some cases extended_tweet will need to be used\n",
    "* lang - The language of the tweet\n",
    "* retweeted_status - Indicates whether a tweet is a retweet and provided detail on the tweet being retweeted\n",
    "* created_at - The timestamp of the tweet\n",
    "* user - This could be useful in identifying noise in the data, e.g. one user posting something similar content multiple times. However this will need further exploration as there will be genuine cases where users are publishing the same sentiment because it is based on what they are seeing/thinking.\n",
    "\n",
    "#### Null Values\n",
    "The tweets DataFrame shape indicated there were 354586 records, however value counts indicated less \"id\" values at 330384. Exploration showed that in all cases where id is NaN the tweet \"text\" was also NaN. Given the model I plan to build is reliant on the text field, any fields with NaN \"id\" will be excluded from analysis.\n",
    "\n",
    "#### Language\n",
    "Counts were generated for the number of tweets per language (top 5 listed below), as expected given the location of the two teams english and spanish topped the list. Given my spanish is limited, I will excluded non-english tweets. This will potentially introduce bias, and future work should look to translate text.\n",
    "* en: 187592\n",
    "* es: 47923\n",
    "* pt: 15843\n",
    "* und: 14978\n",
    "* ar: 10655\n",
    "\n",
    "#### Visualisation\n",
    "Plotting the data as a time series based on the number of tweets per minute proved insightful, in that you can observe spikes in the number of tweets in game vs half time and additional spikes where key events occur.\n",
    "\n",
    "Additionally plotting a word cloud proved insightful and identified the dislocated shoulder Mo Salah faced, this is an extremely specific event and gives a nice indication of what may be possible with this dataset.\n",
    "\n",
    "### Next steps \n",
    "* Add \"match minute\" to the tweet dataset, this will provide a linkage to the context dataset which will be useful for visualisation and validation\n",
    "* Consider what additional feature engineering should be performed\n",
    "* Explore fields containing lists in more detail (extended_tweet, retweeted_status & user)"
   ]
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Loading <a class=\"anchor\" id=\"data-loading\"></a>"
   ]
  },
  {
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   "execution_count": 1,
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    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5"
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   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "from wordcloud import WordCloud, STOPWORDS"
   ]
  },
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   "cell_type": "code",
   "execution_count": 2,
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   "source": [
    "# Load the dataset\n",
    "full_tweets_df = pd.read_json('../input/tweets-during-r-madrid-vs-liverpool-ucl-2018/TweetsChampions.json', lines = True)"
   ]
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    "# Generate some contextual data using https://www.whoscored.com/Matches/1278491/Preview/Europe-Champions-League-2017-2018-Real-Madrid-Liverpool\n",
    "# for now this is achieved manually but web scraping or finding an API equivalent would be the solution for a model running real time.\n",
    "full_game_context_df = pd.DataFrame(np.array([['90+3','','','Second half ends'],\n",
    "['90+1','','RMA','Marco Asensio wins a corner (To the left)'],\n",
    "['91','','LIV','Adam Lallana has shot blocked (18-yard box, Left footed, Set piece)'],\n",
    "['91','','RMA','Cristiano Ronaldo blocks a shot'],\n",
    "['89','Sub Out','RMA','Karim Benzema is substituted off'],\n",
    "['89','Sub In','RMA','Marco Asensio is substituted on'],\n",
    "['86','','RMA','Luka Modric wins a corner (To the right)'],\n",
    "['86','','RMA','Luka Modric wins a corner (To the right)'],\n",
    "['85','','RMA','Gareth Bale wins a corner (To the right)'],\n",
    "['83','Goal','RMA','GOAL! Gareth Bale scores , Assisted by Marcelo (High to the right, Out of box, Left footed, Open play)'],\n",
    "['83','Sub Out','LIV','James Milner is substituted off'],\n",
    "['83','Sub In','LIV','Emre Can is substituted on'],\n",
    "['82','Yellow Card','LIV','Sadio Mané recieves a yellow card'],\n",
    "['82','','RMA','Karim Benzema has attempt saved (High to the centre, 18-yard box, Right footed, Open play)'],\n",
    "['82','','LIV','Loris Karius makes a save (Parried into danger, Diving)'],\n",
    "['75','','RMA','Gareth Bale is caught offside'],\n",
    "['74','','RMA','Cristiano Ronaldo wins a corner (To the left)'],\n",
    "['74','','LIV','Andrew Robertson blocks a shot'],\n",
    "['74','','RMA','Cristiano Ronaldo has shot blocked (18-yard box, Left footed, Open play)'],\n",
    "['73','','LIV','Adam Lallana is caught offside'],\n",
    "['70','Shot on post','LIV','Sadio Mané wins a corner (To the left)'],\n",
    "['70','','LIV','Sadio Mané hits the woodwork (To the left, Out of box, Left footed, Open play)'],\n",
    "['69','','LIV','Andrew Robertson wins a corner (To the left)'],\n",
    "['69','','LIV','Adam Lallana is caught offside'],\n",
    "['64','Goal','RMA','GOAL! Gareth Bale scores , Assisted by Marcelo (High to the left, 18-yard box, Left footed, Open play)'],\n",
    "['61','Sub Out','RMA','Isco is substituted off'],\n",
    "['61','Sub In','RMA','Gareth Bale is substituted on'],\n",
    "['61','','RMA','Isco wins a corner (To the left)'],\n",
    "['61','','RMA','Toni Kroos is caught offside'],\n",
    "['61','','RMA','Isco misses attempt (18-yard box, Right footed, Open play)'],\n",
    "['61','','LIV','Loris Karius makes a save (Diving, Parried safe, From shot off target)'],\n",
    "['55','Goal','LIV','GOAL! Sadio Mané scores , Assisted by Dejan Lovren (Low to the centre, 6-yard box, Big Chance, Right footed, From corner)'],\n",
    "['55','Assist','LIV','Dejan Lovren has shot blocked (18-yard box, Key pass, Head, From corner)'],\n",
    "['54','','LIV','James Milner wins a corner (To the right)'],\n",
    "['53','','RMA','Karim Benzema is caught offside'],\n",
    "['51','Goal','RMA','GOAL! Karim Benzema scores (Low to the left, 18-yard box, Big Chance, Right footed, Open play)'],\n",
    "['48','','RMA','Isco wins a corner (To the right)'],\n",
    "['48','Shot on post','RMA','Isco hits the woodwork (High, 18-yard box, Big Chance, Right footed, Open play)'],\n",
    "['46','','','Second half begins!'],\n",
    "['45+3','','','First half ends'],\n",
    "['45+2','','RMA','Karim Benzema misses attempt (Out of box, Right footed, Open play)'],\n",
    "['45+1','','RMA','Marcelo wins a corner (To the left)'],\n",
    "['45','','RMA','Nacho misses attempt (18-yard box, Right footed, Open play)'],\n",
    "['44','','LIV','Roberto Firmino is caught offside'],\n",
    "['43','','RMA','Cristiano Ronaldo has attempt saved (Low to the centre, 18-yard box, Big Chance, Head, Open play)'],\n",
    "['43','','LIV','Loris Karius makes a save (Parried into danger, Diving)'],\n",
    "['43','','RMA','Karim Benzema is caught offside'],\n",
    "['41','','RMA','Cristiano Ronaldo is caught offside'],\n",
    "['39','','RMA','Luka Modric wins a corner (To the right)'],\n",
    "['37','Sub Out','RMA','Daniel Carvajal is substituted off'],\n",
    "['37','Sub In','RMA','Nacho is substituted on'],\n",
    "['33','','RMA','Karim Benzema has shot blocked (18-yard box, Right footed, Open play)'],\n",
    "['33','','LIV','Virgil van Dijk blocks a shot'],\n",
    "['32','','LIV','Andrew Robertson blocks a shot'],\n",
    "['32','','RMA','Luka Modric has shot blocked (18-yard box, Right footed, Open play)'],\n",
    "['31','Sub Out','LIV','Mohamed Salah is substituted off'],\n",
    "['31','Sub In','LIV','Adam Lallana is substituted on'],\n",
    "['28','','LIV','Sadio Mané wins a corner (To the left)'],\n",
    "['23','','LIV','Trent Alexander-Arnold has attempt saved (Low to the centre, 18-yard box, Right footed, Open play)'],\n",
    "['23','','RMA','Keylor Navas makes a save (Diving, Collected)'],\n",
    "['23','','LIV','Roberto Firmino has shot blocked (18-yard box, Right footed, Open play)'],\n",
    "['23','','RMA','Sergio Ramos blocks a shot'],\n",
    "['20','','RMA','Isco is caught offside'],\n",
    "['18','','LIV','Virgil van Dijk misses attempt (High to the left, 6-yard box, Big Chance, Head, From corner)'],\n",
    "['18','','LIV','Trent Alexander-Arnold wins a corner (To the right)'],\n",
    "['15','','RMA','Cristiano Ronaldo misses attempt (18-yard box, Right footed, Open play)'],\n",
    "['14','','LIV','Sadio Mané has shot blocked (18-yard box, Right footed, Open play)'],\n",
    "['14','','RMA','Daniel Carvajal blocks a shot'],\n",
    "['14','','LIV','Mohamed Salah has shot blocked (18-yard box, Left footed, Open play)'],\n",
    "['14','','RMA','Raphael Varane blocks a shot'],\n",
    "['14','','LIV','James Milner has shot blocked (Out of box, Left footed, Open play)'],\n",
    "['14','','RMA','Casemiro blocks a shot'],\n",
    "['11','','RMA','Marcelo misses attempt (To the right, Out of box, Left footed, Open play)'],\n",
    "['8','','LIV','Roberto Firmino misses attempt (High to the left, 18-yard box, Head, Open play)'],\n",
    "['8','','','Formation Set'],\n",
    "['6','','LIV','Mohamed Salah has shot blocked (Out of box, Left footed, Set piece)'],\n",
    "['6','','RMA','Luka Modric blocks a shot'],\n",
    "['3','','LIV','Georginio Wijnaldum has shot blocked (Out of box, Right footed, Open play)'],\n",
    "['3','','RMA','Casemiro blocks a shot'],\n",
    "['2','','RMA','Isco is caught offside'],\n",
    "['1','','','First half begins!']]), columns=['match_minute', 'event_type', 'team', 'event_text'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Initial Data Exploration <a class=\"anchor\" id=\"initial-data-exploration\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Samples, Shapes & General Stats <a class=\"anchor\" id=\"samples\"></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "full_tweets_df shape: (354586, 38)\n",
      "full_game_context_df shape: (81, 4)\n"
     ]
    }
   ],
   "source": [
    "# Print the shape of each dataset\n",
    "print(f'full_tweets_df shape: {full_tweets_df.shape}')\n",
    "print(f'full_game_context_df shape: {full_game_context_df.shape}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
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       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>{'hashtags': [], 'urls': [], 'user_mentions': ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>low</td>\n",
       "      <td>es</td>\n",
       "      <td>2018-05-26 13:18:31.093</td>\n",
       "      <td>{'created_at': 'Fri May 25 15:04:21 +0000 2018...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-05-26 13:18:31+00:00</td>\n",
       "      <td>1.000366e+18</td>\n",
       "      <td>1.000366e+18</td>\n",
       "      <td>RT @ECG_Unofficial: We will like to categorica...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/android\" ...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>{'id': 902735000445095938, 'id_str': '90273500...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>{'hashtags': [{'text': 'UCLfinal', 'indices': ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>low</td>\n",
       "      <td>en</td>\n",
       "      <td>2018-05-26 13:18:31.131</td>\n",
       "      <td>{'created_at': 'Sat May 26 11:14:44 +0000 2018...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 created_at            id        id_str  \\\n",
       "0 2018-05-26 13:18:30+00:00  1.000366e+18  1.000366e+18   \n",
       "1 2018-05-26 13:18:31+00:00  1.000366e+18  1.000366e+18   \n",
       "2 2018-05-26 13:18:31+00:00  1.000366e+18  1.000366e+18   \n",
       "3 2018-05-26 13:18:31+00:00  1.000366e+18  1.000366e+18   \n",
       "4 2018-05-26 13:18:31+00:00  1.000366e+18  1.000366e+18   \n",
       "\n",
       "                                                text display_text_range  \\\n",
       "0  MATCH-DAY\\n\\nReal Madrid vs Liverpool\\n\\n#UCLF...           [0, 101]   \n",
       "1  RT @panditfootball: [VIDEO] Siapa yang punya p...                NaN   \n",
       "2  RT @madridismoreaI_: HA LLEGADO EL DÍA ⚽️\\n\\nH...                NaN   \n",
       "3  RT @madridismoreaI_: Mi XI  para mañana: Navas...                NaN   \n",
       "4  RT @ECG_Unofficial: We will like to categorica...                NaN   \n",
       "\n",
       "                                              source  truncated  \\\n",
       "0  <a href=\"http://www.hootsuite.com\" rel=\"nofoll...        0.0   \n",
       "1  <a href=\"http://twitter.com/download/android\" ...        0.0   \n",
       "2  <a href=\"http://twitter.com/download/android\" ...        0.0   \n",
       "3  <a href=\"http://twitter.com/\" rel=\"nofollow\">M...        0.0   \n",
       "4  <a href=\"http://twitter.com/download/android\" ...        0.0   \n",
       "\n",
       "   in_reply_to_status_id  in_reply_to_status_id_str  in_reply_to_user_id  \\\n",
       "0                    NaN                        NaN                  NaN   \n",
       "1                    NaN                        NaN                  NaN   \n",
       "2                    NaN                        NaN                  NaN   \n",
       "3                    NaN                        NaN                  NaN   \n",
       "4                    NaN                        NaN                  NaN   \n",
       "\n",
       "   in_reply_to_user_id_str in_reply_to_screen_name  \\\n",
       "0                      NaN                    None   \n",
       "1                      NaN                    None   \n",
       "2                      NaN                    None   \n",
       "3                      NaN                    None   \n",
       "4                      NaN                    None   \n",
       "\n",
       "                                                user   geo coordinates place  \\\n",
       "0  {'id': 2846595478, 'id_str': '2846595478', 'na...  None        None  None   \n",
       "1  {'id': 2917613580, 'id_str': '2917613580', 'na...  None        None  None   \n",
       "2  {'id': 946054253461852160, 'id_str': '94605425...  None        None  None   \n",
       "3  {'id': 962840767, 'id_str': '962840767', 'name...  None        None  None   \n",
       "4  {'id': 902735000445095938, 'id_str': '90273500...  None        None  None   \n",
       "\n",
       "   contributors  is_quote_status  quote_count  reply_count  retweet_count  \\\n",
       "0           NaN              0.0          0.0          0.0            0.0   \n",
       "1           NaN              0.0          0.0          0.0            0.0   \n",
       "2           NaN              0.0          0.0          0.0            0.0   \n",
       "3           NaN              0.0          0.0          0.0            0.0   \n",
       "4           NaN              0.0          0.0          0.0            0.0   \n",
       "\n",
       "   favorite_count                                           entities  \\\n",
       "0             0.0  {'hashtags': [{'text': 'UCLFinal', 'indices': ...   \n",
       "1             0.0  {'hashtags': [{'text': 'UCLfinal', 'indices': ...   \n",
       "2             0.0  {'hashtags': [{'text': 'InnovateYourGame', 'in...   \n",
       "3             0.0  {'hashtags': [], 'urls': [], 'user_mentions': ...   \n",
       "4             0.0  {'hashtags': [{'text': 'UCLfinal', 'indices': ...   \n",
       "\n",
       "                                   extended_entities  favorited  retweeted  \\\n",
       "0  {'media': [{'id': 1000365561514258432, 'id_str...        0.0        0.0   \n",
       "1                                                NaN        0.0        0.0   \n",
       "2  {'media': [{'id': 1000337991989170176, 'id_str...        0.0        0.0   \n",
       "3                                                NaN        0.0        0.0   \n",
       "4                                                NaN        0.0        0.0   \n",
       "\n",
       "   possibly_sensitive filter_level lang            timestamp_ms  \\\n",
       "0                 0.0          low   en 2018-05-26 13:18:30.859   \n",
       "1                 NaN          low   in 2018-05-26 13:18:31.053   \n",
       "2                 0.0          low   es 2018-05-26 13:18:31.084   \n",
       "3                 NaN          low   es 2018-05-26 13:18:31.093   \n",
       "4                 NaN          low   en 2018-05-26 13:18:31.131   \n",
       "\n",
       "                                    retweeted_status extended_tweet  \\\n",
       "0                                                NaN            NaN   \n",
       "1  {'created_at': 'Sat May 26 13:16:44 +0000 2018...            NaN   \n",
       "2  {'created_at': 'Sat May 26 11:28:58 +0000 2018...            NaN   \n",
       "3  {'created_at': 'Fri May 25 15:04:21 +0000 2018...            NaN   \n",
       "4  {'created_at': 'Sat May 26 11:14:44 +0000 2018...            NaN   \n",
       "\n",
       "   quoted_status_id  quoted_status_id_str quoted_status  \\\n",
       "0               NaN                   NaN           NaN   \n",
       "1               NaN                   NaN           NaN   \n",
       "2               NaN                   NaN           NaN   \n",
       "3               NaN                   NaN           NaN   \n",
       "4               NaN                   NaN           NaN   \n",
       "\n",
       "  quoted_status_permalink limit withheld_in_countries  \n",
       "0                     NaN   NaN                   NaN  \n",
       "1                     NaN   NaN                   NaN  \n",
       "2                     NaN   NaN                   NaN  \n",
       "3                     NaN   NaN                   NaN  \n",
       "4                     NaN   NaN                   NaN  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get top 5 records of the tweets dataframe\n",
    "pd.set_option('display.max_columns', None) # It's useful to see all columns at this stage\n",
    "full_tweets_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"There's just something about this #UCLfinal #HALAMADRID\""
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Example tweet\n",
    "full_tweets_df.text[23243]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Real Madrid.... LETS GO!!!!!!!!!!!!!!!!!!!!!!!  I am not gonna be too arrogant predicting we gonna win by 5-0, so I… https://t.co/LicM1rwwAH\n",
      "{'full_text': 'Real Madrid.... LETS GO!!!!!!!!!!!!!!!!!!!!!!!  I am not gonna be too arrogant predicting we gonna win by 5-0, so I am humbly gonna predict a 4-0 Real Madrid win... #UCLfinal', 'display_text_range': [0, 174], 'entities': {'hashtags': [{'text': 'UCLfinal', 'indices': [165, 174]}], 'urls': [], 'user_mentions': [], 'symbols': []}}\n"
     ]
    }
   ],
   "source": [
    "# In some cases the full tweet is not contained in the 'text' field and can instead be found in the 'extended_tweet' 'full_text' as observed below\n",
    "print(full_tweets_df.text[5])\n",
    "print(full_tweets_df.extended_tweet[5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>match_minute</th>\n",
       "      <th>event_type</th>\n",
       "      <th>team</th>\n",
       "      <th>event_text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>90+3</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Second half ends</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>90+1</td>\n",
       "      <td></td>\n",
       "      <td>RMA</td>\n",
       "      <td>Marco Asensio wins a corner (To the left)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>91</td>\n",
       "      <td></td>\n",
       "      <td>LIV</td>\n",
       "      <td>Adam Lallana has shot blocked (18-yard box, Le...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>91</td>\n",
       "      <td></td>\n",
       "      <td>RMA</td>\n",
       "      <td>Cristiano Ronaldo blocks a shot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>89</td>\n",
       "      <td>Sub Out</td>\n",
       "      <td>RMA</td>\n",
       "      <td>Karim Benzema is substituted off</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  match_minute event_type team  \\\n",
       "0         90+3                   \n",
       "1         90+1             RMA   \n",
       "2           91             LIV   \n",
       "3           91             RMA   \n",
       "4           89    Sub Out  RMA   \n",
       "\n",
       "                                          event_text  \n",
       "0                                   Second half ends  \n",
       "1          Marco Asensio wins a corner (To the left)  \n",
       "2  Adam Lallana has shot blocked (18-yard box, Le...  \n",
       "3                    Cristiano Ronaldo blocks a shot  \n",
       "4                   Karim Benzema is substituted off  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get top 5 records of the match events datafame\n",
    "full_game_context_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>0</th>\n",
       "      <th>1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>contributors</th>\n",
       "      <td>0</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coordinates</th>\n",
       "      <td>56</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>created_at</th>\n",
       "      <td>330384</td>\n",
       "      <td>datetime64[ns, UTC]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>display_text_range</th>\n",
       "      <td>40337</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>entities</th>\n",
       "      <td>330384</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>extended_entities</th>\n",
       "      <td>113089</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>extended_tweet</th>\n",
       "      <td>14013</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>favorite_count</th>\n",
       "      <td>330384</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>favorited</th>\n",
       "      <td>330384</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>filter_level</th>\n",
       "      <td>330384</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>geo</th>\n",
       "      <td>56</td>\n",
       "      <td>object</td>\n",
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       "    <tr>\n",
       "      <th>id</th>\n",
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       "      <td>float64</td>\n",
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       "    <tr>\n",
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       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>in_reply_to_screen_name</th>\n",
       "      <td>5900</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>in_reply_to_status_id</th>\n",
       "      <td>3731</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>in_reply_to_status_id_str</th>\n",
       "      <td>3731</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>in_reply_to_user_id</th>\n",
       "      <td>5900</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>in_reply_to_user_id_str</th>\n",
       "      <td>5900</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>is_quote_status</th>\n",
       "      <td>330384</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lang</th>\n",
       "      <td>330384</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>limit</th>\n",
       "      <td>24202</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>place</th>\n",
       "      <td>8840</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possibly_sensitive</th>\n",
       "      <td>155694</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote_count</th>\n",
       "      <td>330384</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quoted_status</th>\n",
       "      <td>32840</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quoted_status_id</th>\n",
       "      <td>32841</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quoted_status_id_str</th>\n",
       "      <td>32841</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quoted_status_permalink</th>\n",
       "      <td>32840</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reply_count</th>\n",
       "      <td>330384</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>retweet_count</th>\n",
       "      <td>330384</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>retweeted</th>\n",
       "      <td>330384</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>retweeted_status</th>\n",
       "      <td>195010</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>source</th>\n",
       "      <td>330384</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>text</th>\n",
       "      <td>330384</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>timestamp_ms</th>\n",
       "      <td>330384</td>\n",
       "      <td>datetime64[ns]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>truncated</th>\n",
       "      <td>330384</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user</th>\n",
       "      <td>330384</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>withheld_in_countries</th>\n",
       "      <td>153</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                0                    1\n",
       "contributors                    0              float64\n",
       "coordinates                    56               object\n",
       "created_at                 330384  datetime64[ns, UTC]\n",
       "display_text_range          40337               object\n",
       "entities                   330384               object\n",
       "extended_entities          113089               object\n",
       "extended_tweet              14013               object\n",
       "favorite_count             330384              float64\n",
       "favorited                  330384              float64\n",
       "filter_level               330384               object\n",
       "geo                            56               object\n",
       "id                         330384              float64\n",
       "id_str                     330384              float64\n",
       "in_reply_to_screen_name      5900               object\n",
       "in_reply_to_status_id        3731              float64\n",
       "in_reply_to_status_id_str    3731              float64\n",
       "in_reply_to_user_id          5900              float64\n",
       "in_reply_to_user_id_str      5900              float64\n",
       "is_quote_status            330384              float64\n",
       "lang                       330384               object\n",
       "limit                       24202               object\n",
       "place                        8840               object\n",
       "possibly_sensitive         155694              float64\n",
       "quote_count                330384              float64\n",
       "quoted_status               32840               object\n",
       "quoted_status_id            32841              float64\n",
       "quoted_status_id_str        32841              float64\n",
       "quoted_status_permalink     32840               object\n",
       "reply_count                330384              float64\n",
       "retweet_count              330384              float64\n",
       "retweeted                  330384              float64\n",
       "retweeted_status           195010               object\n",
       "source                     330384               object\n",
       "text                       330384               object\n",
       "timestamp_ms               330384       datetime64[ns]\n",
       "truncated                  330384              float64\n",
       "user                       330384               object\n",
       "withheld_in_countries         153               object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the column names, types and counts\n",
    "# The \"Tweet\" object/column definition can be seen on https://developer.twitter.com/en/docs/twitter-api/v1/data-dictionary/overview/tweet-object\n",
    "pd.concat([full_tweets_df.count().sort_index(), full_tweets_df.dtypes.sort_index()], axis=1, join='inner')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>id_str</th>\n",
       "      <th>truncated</th>\n",
       "      <th>in_reply_to_status_id</th>\n",
       "      <th>in_reply_to_status_id_str</th>\n",
       "      <th>in_reply_to_user_id</th>\n",
       "      <th>in_reply_to_user_id_str</th>\n",
       "      <th>contributors</th>\n",
       "      <th>is_quote_status</th>\n",
       "      <th>quote_count</th>\n",
       "      <th>reply_count</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>favorited</th>\n",
       "      <th>retweeted</th>\n",
       "      <th>possibly_sensitive</th>\n",
       "      <th>quoted_status_id</th>\n",
       "      <th>quoted_status_id_str</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3.303840e+05</td>\n",
       "      <td>3.303840e+05</td>\n",
       "      <td>330384.000000</td>\n",
       "      <td>3.731000e+03</td>\n",
       "      <td>3.731000e+03</td>\n",
       "      <td>5.900000e+03</td>\n",
       "      <td>5.900000e+03</td>\n",
       "      <td>0.0</td>\n",
       "      <td>330384.000000</td>\n",
       "      <td>330384.0</td>\n",
       "      <td>330384.0</td>\n",
       "      <td>330384.0</td>\n",
       "      <td>330384.0</td>\n",
       "      <td>330384.0</td>\n",
       "      <td>330384.0</td>\n",
       "      <td>155694.000000</td>\n",
       "      <td>3.284100e+04</td>\n",
       "      <td>3.284100e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.000464e+18</td>\n",
       "      <td>1.000464e+18</td>\n",
       "      <td>0.042414</td>\n",
       "      <td>9.994265e+17</td>\n",
       "      <td>9.994265e+17</td>\n",
       "      <td>1.153892e+17</td>\n",
       "      <td>1.153892e+17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.099454</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.022872</td>\n",
       "      <td>9.995539e+17</td>\n",
       "      <td>9.995539e+17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.650230e+12</td>\n",
       "      <td>8.650230e+12</td>\n",
       "      <td>0.201533</td>\n",
       "      <td>2.322163e+16</td>\n",
       "      <td>2.322163e+16</td>\n",
       "      <td>2.967243e+17</td>\n",
       "      <td>2.967243e+17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.299271</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.149495</td>\n",
       "      <td>2.322652e+16</td>\n",
       "      <td>2.322652e+16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000366e+18</td>\n",
       "      <td>1.000366e+18</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.471888e+09</td>\n",
       "      <td>1.471888e+09</td>\n",
       "      <td>4.327000e+03</td>\n",
       "      <td>4.327000e+03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.471888e+09</td>\n",
       "      <td>1.471888e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000456e+18</td>\n",
       "      <td>1.000456e+18</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000452e+18</td>\n",
       "      <td>1.000452e+18</td>\n",
       "      <td>1.412462e+08</td>\n",
       "      <td>1.412462e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000456e+18</td>\n",
       "      <td>1.000456e+18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000464e+18</td>\n",
       "      <td>1.000464e+18</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000459e+18</td>\n",
       "      <td>1.000459e+18</td>\n",
       "      <td>3.817073e+08</td>\n",
       "      <td>3.817073e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000461e+18</td>\n",
       "      <td>1.000461e+18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000471e+18</td>\n",
       "      <td>1.000471e+18</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000467e+18</td>\n",
       "      <td>1.000467e+18</td>\n",
       "      <td>2.326858e+09</td>\n",
       "      <td>2.326858e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000466e+18</td>\n",
       "      <td>1.000466e+18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000478e+18</td>\n",
       "      <td>1.000478e+18</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000478e+18</td>\n",
       "      <td>1.000478e+18</td>\n",
       "      <td>1.000357e+18</td>\n",
       "      <td>1.000357e+18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000478e+18</td>\n",
       "      <td>1.000478e+18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 id        id_str      truncated  in_reply_to_status_id  \\\n",
       "count  3.303840e+05  3.303840e+05  330384.000000           3.731000e+03   \n",
       "mean   1.000464e+18  1.000464e+18       0.042414           9.994265e+17   \n",
       "std    8.650230e+12  8.650230e+12       0.201533           2.322163e+16   \n",
       "min    1.000366e+18  1.000366e+18       0.000000           1.471888e+09   \n",
       "25%    1.000456e+18  1.000456e+18       0.000000           1.000452e+18   \n",
       "50%    1.000464e+18  1.000464e+18       0.000000           1.000459e+18   \n",
       "75%    1.000471e+18  1.000471e+18       0.000000           1.000467e+18   \n",
       "max    1.000478e+18  1.000478e+18       1.000000           1.000478e+18   \n",
       "\n",
       "       in_reply_to_status_id_str  in_reply_to_user_id  \\\n",
       "count               3.731000e+03         5.900000e+03   \n",
       "mean                9.994265e+17         1.153892e+17   \n",
       "std                 2.322163e+16         2.967243e+17   \n",
       "min                 1.471888e+09         4.327000e+03   \n",
       "25%                 1.000452e+18         1.412462e+08   \n",
       "50%                 1.000459e+18         3.817073e+08   \n",
       "75%                 1.000467e+18         2.326858e+09   \n",
       "max                 1.000478e+18         1.000357e+18   \n",
       "\n",
       "       in_reply_to_user_id_str  contributors  is_quote_status  quote_count  \\\n",
       "count             5.900000e+03           0.0    330384.000000     330384.0   \n",
       "mean              1.153892e+17           NaN         0.099454          0.0   \n",
       "std               2.967243e+17           NaN         0.299271          0.0   \n",
       "min               4.327000e+03           NaN         0.000000          0.0   \n",
       "25%               1.412462e+08           NaN         0.000000          0.0   \n",
       "50%               3.817073e+08           NaN         0.000000          0.0   \n",
       "75%               2.326858e+09           NaN         0.000000          0.0   \n",
       "max               1.000357e+18           NaN         1.000000          0.0   \n",
       "\n",
       "       reply_count  retweet_count  favorite_count  favorited  retweeted  \\\n",
       "count     330384.0       330384.0        330384.0   330384.0   330384.0   \n",
       "mean           0.0            0.0             0.0        0.0        0.0   \n",
       "std            0.0            0.0             0.0        0.0        0.0   \n",
       "min            0.0            0.0             0.0        0.0        0.0   \n",
       "25%            0.0            0.0             0.0        0.0        0.0   \n",
       "50%            0.0            0.0             0.0        0.0        0.0   \n",
       "75%            0.0            0.0             0.0        0.0        0.0   \n",
       "max            0.0            0.0             0.0        0.0        0.0   \n",
       "\n",
       "       possibly_sensitive  quoted_status_id  quoted_status_id_str  \n",
       "count       155694.000000      3.284100e+04          3.284100e+04  \n",
       "mean             0.022872      9.995539e+17          9.995539e+17  \n",
       "std              0.149495      2.322652e+16          2.322652e+16  \n",
       "min              0.000000      1.471888e+09          1.471888e+09  \n",
       "25%              0.000000      1.000456e+18          1.000456e+18  \n",
       "50%              0.000000      1.000461e+18          1.000461e+18  \n",
       "75%              0.000000      1.000466e+18          1.000466e+18  \n",
       "max              1.000000      1.000478e+18          1.000478e+18  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get some general stats for the dataset\n",
    "full_tweets_df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Nulls <a class=\"anchor\" id=\"nulls\"></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ],
      "text/plain": [
       "                       0                    1\n",
       "created_at        330384  datetime64[ns, UTC]\n",
       "id                330384              float64\n",
       "lang              330384               object\n",
       "retweeted         330384              float64\n",
       "retweeted_status  195010               object\n",
       "text              330384               object\n",
       "user              330384               object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Given the shape of the total data set indicated 354586 records and the value counts indicated less \"id\" values (330384), some further exploration is required\n",
    "# Given \"retweeted_status\" is an expected NaN where a tweet is not retweeted, no further analysis will be performed for the \"retweeted_status\" NaN's\n",
    "pd.concat([full_tweets_df[['id', 'text', 'lang', 'retweeted', 'retweeted_status', 'created_at', 'user']].count().sort_index(), full_tweets_df[['id', 'text', 'lang', 'retweeted', 'retweeted_status', 'created_at', 'user']].dtypes.sort_index()], axis=1, join='inner')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "      <th>in_reply_to_status_id_str</th>\n",
       "      <th>in_reply_to_user_id</th>\n",
       "      <th>in_reply_to_user_id_str</th>\n",
       "      <th>in_reply_to_screen_name</th>\n",
       "      <th>user</th>\n",
       "      <th>geo</th>\n",
       "      <th>coordinates</th>\n",
       "      <th>place</th>\n",
       "      <th>contributors</th>\n",
       "      <th>is_quote_status</th>\n",
       "      <th>quote_count</th>\n",
       "      <th>reply_count</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>entities</th>\n",
       "      <th>extended_entities</th>\n",
       "      <th>favorited</th>\n",
       "      <th>retweeted</th>\n",
       "      <th>possibly_sensitive</th>\n",
       "      <th>filter_level</th>\n",
       "      <th>lang</th>\n",
       "      <th>timestamp_ms</th>\n",
       "      <th>retweeted_status</th>\n",
       "      <th>extended_tweet</th>\n",
       "      <th>quoted_status_id</th>\n",
       "      <th>quoted_status_id_str</th>\n",
       "      <th>quoted_status</th>\n",
       "      <th>quoted_status_permalink</th>\n",
       "      <th>limit</th>\n",
       "      <th>withheld_in_countries</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'track': 1, 'timestamp_ms': '1527360356864'}</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'track': 14, 'timestamp_ms': '1527360356869'}</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'track': 5, 'timestamp_ms': '1527360356873'}</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'track': 13, 'timestamp_ms': '1527360356889'}</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'track': 23, 'timestamp_ms': '1527360357863'}</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354498</th>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'track': 157037, 'timestamp_ms': '15273675508...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354534</th>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'track': 157082, 'timestamp_ms': '15273675517...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354539</th>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'track': 157167, 'timestamp_ms': '15273675518...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354547</th>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'track': 157276, 'timestamp_ms': '15273675518...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354554</th>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'track': 157439, 'timestamp_ms': '15273675518...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24202 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       created_at  id  id_str text display_text_range source  truncated  \\\n",
       "132           NaT NaN     NaN  NaN                NaN    NaN        NaN   \n",
       "134           NaT NaN     NaN  NaN                NaN    NaN        NaN   \n",
       "136           NaT NaN     NaN  NaN                NaN    NaN        NaN   \n",
       "139           NaT NaN     NaN  NaN                NaN    NaN        NaN   \n",
       "184           NaT NaN     NaN  NaN                NaN    NaN        NaN   \n",
       "...           ...  ..     ...  ...                ...    ...        ...   \n",
       "354498        NaT NaN     NaN  NaN                NaN    NaN        NaN   \n",
       "354534        NaT NaN     NaN  NaN                NaN    NaN        NaN   \n",
       "354539        NaT NaN     NaN  NaN                NaN    NaN        NaN   \n",
       "354547        NaT NaN     NaN  NaN                NaN    NaN        NaN   \n",
       "354554        NaT NaN     NaN  NaN                NaN    NaN        NaN   \n",
       "\n",
       "        in_reply_to_status_id  in_reply_to_status_id_str  in_reply_to_user_id  \\\n",
       "132                       NaN                        NaN                  NaN   \n",
       "134                       NaN                        NaN                  NaN   \n",
       "136                       NaN                        NaN                  NaN   \n",
       "139                       NaN                        NaN                  NaN   \n",
       "184                       NaN                        NaN                  NaN   \n",
       "...                       ...                        ...                  ...   \n",
       "354498                    NaN                        NaN                  NaN   \n",
       "354534                    NaN                        NaN                  NaN   \n",
       "354539                    NaN                        NaN                  NaN   \n",
       "354547                    NaN                        NaN                  NaN   \n",
       "354554                    NaN                        NaN                  NaN   \n",
       "\n",
       "        in_reply_to_user_id_str in_reply_to_screen_name user  geo coordinates  \\\n",
       "132                         NaN                     NaN  NaN  NaN         NaN   \n",
       "134                         NaN                     NaN  NaN  NaN         NaN   \n",
       "136                         NaN                     NaN  NaN  NaN         NaN   \n",
       "139                         NaN                     NaN  NaN  NaN         NaN   \n",
       "184                         NaN                     NaN  NaN  NaN         NaN   \n",
       "...                         ...                     ...  ...  ...         ...   \n",
       "354498                      NaN                     NaN  NaN  NaN         NaN   \n",
       "354534                      NaN                     NaN  NaN  NaN         NaN   \n",
       "354539                      NaN                     NaN  NaN  NaN         NaN   \n",
       "354547                      NaN                     NaN  NaN  NaN         NaN   \n",
       "354554                      NaN                     NaN  NaN  NaN         NaN   \n",
       "\n",
       "       place  contributors  is_quote_status  quote_count  reply_count  \\\n",
       "132      NaN           NaN              NaN          NaN          NaN   \n",
       "134      NaN           NaN              NaN          NaN          NaN   \n",
       "136      NaN           NaN              NaN          NaN          NaN   \n",
       "139      NaN           NaN              NaN          NaN          NaN   \n",
       "184      NaN           NaN              NaN          NaN          NaN   \n",
       "...      ...           ...              ...          ...          ...   \n",
       "354498   NaN           NaN              NaN          NaN          NaN   \n",
       "354534   NaN           NaN              NaN          NaN          NaN   \n",
       "354539   NaN           NaN              NaN          NaN          NaN   \n",
       "354547   NaN           NaN              NaN          NaN          NaN   \n",
       "354554   NaN           NaN              NaN          NaN          NaN   \n",
       "\n",
       "        retweet_count  favorite_count entities extended_entities  favorited  \\\n",
       "132               NaN             NaN      NaN               NaN        NaN   \n",
       "134               NaN             NaN      NaN               NaN        NaN   \n",
       "136               NaN             NaN      NaN               NaN        NaN   \n",
       "139               NaN             NaN      NaN               NaN        NaN   \n",
       "184               NaN             NaN      NaN               NaN        NaN   \n",
       "...               ...             ...      ...               ...        ...   \n",
       "354498            NaN             NaN      NaN               NaN        NaN   \n",
       "354534            NaN             NaN      NaN               NaN        NaN   \n",
       "354539            NaN             NaN      NaN               NaN        NaN   \n",
       "354547            NaN             NaN      NaN               NaN        NaN   \n",
       "354554            NaN             NaN      NaN               NaN        NaN   \n",
       "\n",
       "        retweeted  possibly_sensitive filter_level lang timestamp_ms  \\\n",
       "132           NaN                 NaN          NaN  NaN          NaT   \n",
       "134           NaN                 NaN          NaN  NaN          NaT   \n",
       "136           NaN                 NaN          NaN  NaN          NaT   \n",
       "139           NaN                 NaN          NaN  NaN          NaT   \n",
       "184           NaN                 NaN          NaN  NaN          NaT   \n",
       "...           ...                 ...          ...  ...          ...   \n",
       "354498        NaN                 NaN          NaN  NaN          NaT   \n",
       "354534        NaN                 NaN          NaN  NaN          NaT   \n",
       "354539        NaN                 NaN          NaN  NaN          NaT   \n",
       "354547        NaN                 NaN          NaN  NaN          NaT   \n",
       "354554        NaN                 NaN          NaN  NaN          NaT   \n",
       "\n",
       "       retweeted_status extended_tweet  quoted_status_id  \\\n",
       "132                 NaN            NaN               NaN   \n",
       "134                 NaN            NaN               NaN   \n",
       "136                 NaN            NaN               NaN   \n",
       "139                 NaN            NaN               NaN   \n",
       "184                 NaN            NaN               NaN   \n",
       "...                 ...            ...               ...   \n",
       "354498              NaN            NaN               NaN   \n",
       "354534              NaN            NaN               NaN   \n",
       "354539              NaN            NaN               NaN   \n",
       "354547              NaN            NaN               NaN   \n",
       "354554              NaN            NaN               NaN   \n",
       "\n",
       "        quoted_status_id_str quoted_status quoted_status_permalink  \\\n",
       "132                      NaN           NaN                     NaN   \n",
       "134                      NaN           NaN                     NaN   \n",
       "136                      NaN           NaN                     NaN   \n",
       "139                      NaN           NaN                     NaN   \n",
       "184                      NaN           NaN                     NaN   \n",
       "...                      ...           ...                     ...   \n",
       "354498                   NaN           NaN                     NaN   \n",
       "354534                   NaN           NaN                     NaN   \n",
       "354539                   NaN           NaN                     NaN   \n",
       "354547                   NaN           NaN                     NaN   \n",
       "354554                   NaN           NaN                     NaN   \n",
       "\n",
       "                                                    limit  \\\n",
       "132         {'track': 1, 'timestamp_ms': '1527360356864'}   \n",
       "134        {'track': 14, 'timestamp_ms': '1527360356869'}   \n",
       "136         {'track': 5, 'timestamp_ms': '1527360356873'}   \n",
       "139        {'track': 13, 'timestamp_ms': '1527360356889'}   \n",
       "184        {'track': 23, 'timestamp_ms': '1527360357863'}   \n",
       "...                                                   ...   \n",
       "354498  {'track': 157037, 'timestamp_ms': '15273675508...   \n",
       "354534  {'track': 157082, 'timestamp_ms': '15273675517...   \n",
       "354539  {'track': 157167, 'timestamp_ms': '15273675518...   \n",
       "354547  {'track': 157276, 'timestamp_ms': '15273675518...   \n",
       "354554  {'track': 157439, 'timestamp_ms': '15273675518...   \n",
       "\n",
       "       withheld_in_countries  \n",
       "132                      NaN  \n",
       "134                      NaN  \n",
       "136                      NaN  \n",
       "139                      NaN  \n",
       "184                      NaN  \n",
       "...                      ...  \n",
       "354498                   NaN  \n",
       "354534                   NaN  \n",
       "354539                   NaN  \n",
       "354547                   NaN  \n",
       "354554                   NaN  \n",
       "\n",
       "[24202 rows x 38 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Return cases where the id field is NaN \n",
    "full_tweets_df[pd.isnull(full_tweets_df['id'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>created_at</th>\n",
       "      <th>id</th>\n",
       "      <th>id_str</th>\n",
       "      <th>text</th>\n",
       "      <th>display_text_range</th>\n",
       "      <th>source</th>\n",
       "      <th>truncated</th>\n",
       "      <th>in_reply_to_status_id</th>\n",
       "      <th>in_reply_to_status_id_str</th>\n",
       "      <th>in_reply_to_user_id</th>\n",
       "      <th>in_reply_to_user_id_str</th>\n",
       "      <th>in_reply_to_screen_name</th>\n",
       "      <th>user</th>\n",
       "      <th>geo</th>\n",
       "      <th>coordinates</th>\n",
       "      <th>place</th>\n",
       "      <th>contributors</th>\n",
       "      <th>is_quote_status</th>\n",
       "      <th>quote_count</th>\n",
       "      <th>reply_count</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>entities</th>\n",
       "      <th>extended_entities</th>\n",
       "      <th>favorited</th>\n",
       "      <th>retweeted</th>\n",
       "      <th>possibly_sensitive</th>\n",
       "      <th>filter_level</th>\n",
       "      <th>lang</th>\n",
       "      <th>timestamp_ms</th>\n",
       "      <th>retweeted_status</th>\n",
       "      <th>extended_tweet</th>\n",
       "      <th>quoted_status_id</th>\n",
       "      <th>quoted_status_id_str</th>\n",
       "      <th>quoted_status</th>\n",
       "      <th>quoted_status_permalink</th>\n",
       "      <th>limit</th>\n",
       "      <th>withheld_in_countries</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [created_at, id, id_str, text, display_text_range, source, truncated, in_reply_to_status_id, in_reply_to_status_id_str, in_reply_to_user_id, in_reply_to_user_id_str, in_reply_to_screen_name, user, geo, coordinates, place, contributors, is_quote_status, quote_count, reply_count, retweet_count, favorite_count, entities, extended_entities, favorited, retweeted, possibly_sensitive, filter_level, lang, timestamp_ms, retweeted_status, extended_tweet, quoted_status_id, quoted_status_id_str, quoted_status, quoted_status_permalink, limit, withheld_in_countries]\n",
       "Index: []"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# With the above appearing to return NaN across all columns, before assuming these can be filtered out of the dataset it is important to check whether the \"text\" fieldis always NaN where \"id\" is NaN\n",
    "# This returns none so such results can be excluded from analysis\n",
    "full_tweets_df[(pd.isnull(full_tweets_df['id'])) & (pd.notnull(full_tweets_df['text']))]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Timestamps <a class=\"anchor\" id=\"timestamps\"></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "min   2018-05-26 13:18:30+00:00\n",
       "max   2018-05-26 20:45:51+00:00\n",
       "Name: created_at, dtype: datetime64[ns, UTC]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the timestamp range for the tweets,the scheduled kick off time for the game was 18:45  UTC. The output shows there are some tweets before the kick off time.\n",
    "full_tweets_df['created_at'].agg(['min','max'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Language <a class=\"anchor\" id=\"language\"></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "lang\n",
       "en     187592\n",
       "es      47923\n",
       "pt      15843\n",
       "und     14978\n",
       "ar      10655\n",
       "fr       8301\n",
       "in       7735\n",
       "it       6343\n",
       "de       5761\n",
       "tr       4345\n",
       "th       3513\n",
       "ja       3392\n",
       "el       2101\n",
       "tl       1815\n",
       "pl       1309\n",
       "lt       1180\n",
       "ht       1130\n",
       "ca        749\n",
       "et        742\n",
       "nl        731\n",
       "ru        683\n",
       "fa        591\n",
       "hi        313\n",
       "cy        203\n",
       "cs        183\n",
       "fi        183\n",
       "uk        183\n",
       "sv        176\n",
       "ro        166\n",
       "no        156\n",
       "da        135\n",
       "eu        116\n",
       "hu         92\n",
       "sl         84\n",
       "lv         65\n",
       "ur         48\n",
       "is         43\n",
       "ne         34\n",
       "ml         33\n",
       "ko         29\n",
       "sr         25\n",
       "zh         22\n",
       "ta         18\n",
       "bg         17\n",
       "vi         16\n",
       "iw         14\n",
       "bn         10\n",
       "ckb         2\n",
       "hy          2\n",
       "mr          2\n",
       "si          2\n",
       "am          1\n",
       "Name: id, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get a view of the tweet languages, sorting by most used\n",
    "full_tweets_df.groupby('lang')['id'].nunique().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Preparation <a class=\"anchor\" id=\"data-preparation\"></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "188087"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Generate subset of the full with english tweets only, return row count to observe impact it has on dataset size.\n",
    "en_tweets_df = full_tweets_df[(full_tweets_df['lang']=='en') & (pd.notnull(full_tweets_df['id']))]\n",
    "en_tweets_df.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "# Apply a function that returns a boolean indicating whether the tweet is a retweet or not\n",
    "def check_if_retweet(retweeted_status):\n",
    "    if pd.isnull(retweeted_status):\n",
    "        return False\n",
    "    else:\n",
    "        return True\n",
    "\n",
    "en_tweets_df['is_retweet'] = en_tweets_df.apply(lambda x: check_if_retweet(x.retweeted_status), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "# Apply a function that returns the full tweet text\n",
    "def set_tweet_text(text, extended_tweet):\n",
    "    if pd.isnull(extended_tweet):\n",
    "        return text\n",
    "    else:\n",
    "        return extended_tweet['full_text']\n",
    "\n",
    "en_tweets_df['tweet_text'] = en_tweets_df.apply(lambda x: set_tweet_text(x.text, x.extended_tweet), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "# So data can be visualised/grouped at a higher level create a field that drops seconds\n",
    "en_tweets_df['created_at_hour_minute'] = pd.to_datetime(en_tweets_df['created_at'], format='%H%M%S').dt.floor('T')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Trim the dataset to columns deemed to be key\n",
    "en_tweets_df = en_tweets_df[['id', 'text', 'lang', 'retweeted_status', 'created_at', 'user', 'tweet_text', 'is_retweet', 'created_at_hour_minute']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Factorize data excluding language as it is always en and also exclude dictionary fields\n",
    "en_tweets_df_numeric = en_tweets_df[['id', 'text', 'created_at', 'tweet_text', 'is_retweet', 'created_at_hour_minute']].apply(lambda x : pd.factorize(x)[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "#uclfinal           148170\n",
       "rt                  123654\n",
       "the                  77562\n",
       "a                    51855\n",
       "to                   37462\n",
       "                     ...  \n",
       "did                   3663\n",
       "bbc                   3604\n",
       "reporting             3528\n",
       "diagnosis             3525\n",
       "@adriandelmonte:      3484\n",
       "Length: 100, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get a list of the most frequent words\n",
    "top_words = pd.Series(' '.join(en_tweets_df['text']).lower().split()).value_counts()[:100]\n",
    "pd.set_option('display.max_rows', 50)\n",
    "top_words"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Visualisation <a class=\"anchor\" id=\"data-visualisation\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Correlation <a class=\"anchor\" id=\"correlation\"></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(en_tweets_df_numeric.corr(),\n",
    "            vmin=-1,\n",
    "            vmax=1,\n",
    "            center=0,\n",
    "            cmap=\"coolwarm\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Timeseries <a class=\"anchor\" id=\"timeseries\"></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Group the count of tweets by their minute\n",
    "timeseries = en_tweets_df[en_tweets_df['created_at_hour_minute']>='2018-05-26 18:46:00+00:00'].groupby([en_tweets_df['created_at_hour_minute']]).id.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([736840.78125   , 736840.79166667, 736840.80208333, 736840.8125    ,\n",
       "        736840.82291667, 736840.83333333, 736840.84375   , 736840.85416667,\n",
       "        736840.86458333]),\n",
       " <a list of 9 Text major ticklabel objects>)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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1uoyed4WlAt+8rT3+uFRaqoRgbCn1W4Aw6mdrkwmHe6lwvphFoxxDjuxluMwVSkglLKcZrpNDU1DIJElbm1y7rgaMgbYVlxEKuAghOfH0oQE0V2mwo9mU9ee+dWs9/vvOLfj4pStS3kes7cpkYHU625pMODfmmjEQmxSXMVcAoUh2enABgFTCYKlQ5jbDNezE2lpd0hO01XoVtjYa8eIpCriWCwq4CCFZN2D34u0uG+7Y1jDvFuFSvHdLPZqqUm8fXbSiCs1VGmxrXnz9lmh7swmcA0epPUTRGrALzUKzleEChDquXGW4OOc4NeScUzCfaM+GWpwYdM7oP0dKFwVchJCs+01sXM9tW+sLtobrN9bitS9dBY1i6e0GNzcawBiojquITTc9zWLApVfl7JTi8JQfdm9oTsF8ous2CIdNXqRtxWWBAi5CSFZxzvH04QFctKISjZXZKWAuNJ1KjjU1Ohyik4pFK9701Ji9n7lagwpDDh/cgXDWnlM0XTCfOuBqNWuxqroCL54czfrrk/xLG3Axxh5ljI0xxk4kXNvCGNvHGDvKGDvIGNuVcNuXGWOdjLGzjLHrEq5vZ4wdj932AMvVPgMhpKAO9drRY/Pijm3pi+VLybZmE472ORCN0jH9YjRg96FKq5j3ROxC7VlfA384insePQBXluv3Tg07wRiwdp6ACxCyXAd6JmH35LYBK8m9TDJcPwZw/axr/wHgXzjnWwB8NfbvYIytB3AngA2xxzzIGBN/+n8E4D4Aq2L/zH5OQsgy8LP9fdAopLih3VropWTVtiYTXIEwzo/RMf1iNGD3ZnU7EQAubjPjB3dtRUe/A3c/eiCrhyZODTnRUqVFRYqec6I9G2oQiXL86cxY1l6bFEbagItz/jqAydmXAYhhuQHAUOzr9wJ4knMe4Jx3A+gEsIsxZgWg55y/zYUubk8AuDUb3wAhpHgM2L14rmMId+5sSvtGUmq2x05bUh1Xceqf9GZlaPVsN7Rb8YMPbcPxgSnc/Uj2gq6Tw1PzbieK2usNsBpUVMe1DCy2hutzAO5njPUD+E8AX45drwfQn3C/gdi1+tjXs68TQpaRh9/oBmPAJy5vLfRSsq6lSoNKrYI6zhchfyiCvklv0kHm2XD9xlo8+OFtODk0hb94eD98wciSnm/KF0L/pG/egnkRYwx71tfg9fPj8IeW9rqksBYbcH0SwP/hnDcC+D8AHoldT1aXxee5nhRj7L5YbdjB8fHxRS6REJJPNncAT77Th1u31MNqyO7WTjFgjGFroxGHKMNVdHpsHkQ50FaTWfPcxdizoRbf+cAWdAxM4U9nllbEfmY4VjCfQcAFCPWD/lAU/ZPeJb0uKazFBlz3APh17OtfAhCL5gcANCbcrwHCduNA7OvZ15PinD/EOd/BOd9hsVgWuURClrcjffacDtZdqMfe7EEgHMVfXbGy0EvJmW3NJnSNe6iAucicj42/WVWdevJANly/oRYKmWTJ/dhOxQKuDRlsKQKIf4DJZRNWknuLDbiGAFwR+/pqAOdjXz8H4E7GmJIx1gqhOP4A53wYgIsxdlHsdOLdAJ5dwroJKXsff/wgHvjz+fR3zAOXP4Qn3u7Bdetr0ZbjN71Cig+ypixXUekcc0PCpqcL5IpCJkF7vQFH+pcWcJ0ccsJcoYBFp8zo/tNzHakBainLpC3EzwG8DWANY2yAMXYvgE8A+A5jrAPANyGcPgTn/CSApwCcAvBHAJ/inIubzp8E8DCEQvoLAJ7P8vdCSNnwhyKweYIYLpIO1D/b3wenP4y/uWr5ZrcAYGuTERqFFH+mE2NFpXPMjaZKzZKGlGdqS6MRJwanEAxHF/0cp4acWGfVZzyFoUavAmOU4Sp1mZxSvItzbuWcyznnDZzzRzjneznn2znnmznnuznnhxLu/w3O+UrO+RrO+fMJ1w9yzjfGbvt07LQiIWQRxl0BAMCoM5D3137t3Dg6+qf7UflDETy8txuXtpmxqWHpY3SKmUouxVVrqvHCyVFEqB9X0Tg/5spbZnVrkxGBcBRnRpyLenwwHMX5MRc21BkyfoxCJoG5QolhBwVcpWx5ndsmpEyMufyx/81vwDVg9+KeRw8AACq1Cly+ygy1QoZxVwDf++CWvK6lUK7bWIvfHx/GkT47drRUFno5y0YoEsWg3Ycemwe9Ni/qjWpcs74m7ePCkSi6Jzy4em36+2bD1ti28pE+x6I+YBwbcCAU4RkXzIusBhWGczTXkeQHBVyElKCxWGbL5gkgHIlCJs3PlK5jA1MAgM9fuxrdEx68fm4cNk8QmxuNuHhlVV7WUGhXrbFAIZXg+RMjFHBlyeeePILfHhuekTVUySU4+tU9abcJeye9CEV43jJcdQYVqnVKHO134J5FPP6Jt3tRoZThqjULOxBmNajQNe5ZxCuSYkEBFyElSMxscQ5MuIOojRXV5lrHgANyKcNfXbECSpkU0SjHqWFnrMakPKZ16VRyXLrKjD+eGMFXblpXNt93Lu3ttGFjvQEf2d2EFrMWw1N+fObnR/Bm5wTevW7+zFXnWH5OKIoYY9jSaMSRRRycGJ7y4Q/Hh3HPxS3QqeQLeqzVoMZbnbYFvyYpHjS8mpASJG4pzv46144PTGGdVQ+lTMg6SCQMG+sNGZ+2Wi6u31iLQYcPJ4cWV8dDZvKHItjRbML7dzRiZ0slrttQA61CipdPpz+cIAZcK/N4OnZrkwk9Ni8mF9ge5PG3ehHlHB+9uGXBr1lrUMEVCGd9piPJHwq4CClBYwnF8mN5KpyPRjmOD0yhvT7zYt/l6pp1NZBKGP54gsatLBXnHN5gGOqErUOlTIrLV1vw5zOjSHe+6vyoC3UGVV5HSW1tEmq3OhbQHsIbDOPnB/pw3YZaNFYufASR2BqimHrvkYWhgIuQEjTmCsBcoYx/nQ89Ng9cgTA2L/OTiJmo1Cqwu7USz58YLvRSSl4wEkWUA2rFzFqtd6+rwagzgBOD82cRO8fdOe0wn0x7vQEShgVtKz59aABTvhDuvXRxY6/E5qdDFHCVLAq4CClBY64ANtTpwRgwuoSTS29dmEDnmCuj+x4fFArm2xsowwUI24oXxj0Z//cjyYlzCdWziuOvWmMBY8DLp1OP0YlGOTrH3Giz5LfZrlYpw5pafcYNUKNRjkff7MHmBkN8CPpCTWe4iqP3Hlk4CrgIKUHjLj/qjCpUahSLznCNOv346GPv4B9+cyKj+3f0T0Ell+StOLnY7VlfCwC0rbhEvthAZs2sDFdVhRLbmkzzzi0cdPjgD0Wxqib/P5Nbm4w4mtCPbj6vnB1D94QH9162YtGHLMTmp0PUi6tkUcBFSIkJR6KweYKw6FSo1qswvsii+R+9egHBcBTv9EzGG6nO5/igAxvqDHlrQVHsag0qbGsy4o8nKeBaCq+Y4VLMbf/w7nXVODHoTFm3JBbMF2Kc1JZGI1z+MLom3Gnv+8jeblgNKtywsXbRryc2P6UartJFfzkJKTET7iA4B6p1SlTrlIvqNj885cPPDvRhV0slOAdeSBM0hCNRnBh0UsH8LNdvrMWJQSf6J72FXkrJSrWlCAiHEwCkzHKdj23n5ntLEQC2xQrnD6cZZH1yaApvXbDhnotbIF/ihxWrQYUh2lIsWRRwEVJixDYQYsC1mLYQD75yAdEox3c+sBkrLNq0xd8Xxj3whSLY3EgBV6LrNtC24lKJW4rJMlyrqivQWKnGn1K0h+gcc8NcoYBJq8jpGpNZYa6ATiXD0XnquAbsXvz1/x6CXiXDXTublvyaVoOKMlwljAIuQkqM2AaiWq9CjV6FCXdwQXP9hhw+/OKdfrx/RyMaKzW4caMVb1+wweZOnSk7NiC8qbTX0wnFRM1VWuxoNuEHr3RisEgGiZcaMcM1u4YLEJqMvnttDfZ2TsAbDM+5/fyYuyDbiYDQg05ogJo84Oqf9OLOh/bB4Q3hJ/fuhkGzsEanyVgNahpgXcIo4CKkxIhF8tU6Jar1SkSifEENGH/4Sic4OD59dRsA4Ib2WkQ58OKp1MXJxwamUKGUYYVZu7TFL0P3v38zwpEoPvPzIwhFooVeTskRa7hSjfC5Zl0NguEo9p6fmHGd89gJxQIe4tjaaMTZESc8gZnBoBhsOX0h/PTju7G5MTsfVKwGFdzU/LRkUcBFyAI9e3QQwwWsoxC3EM0VwpYikHlriAG7F08d7McHdjSi3ij09Vlv1aO5SoM/HE+9rXhscAob6/WQSGiMzWytZi2+dccmHOq147svnSv0ckqOP5S6hgsAdrVWQqeUzdlWHHMF4PKHsao6vz24Em1tMiHKhQ8kLn8I/ZNe7O+y4c6H9sEdCONnn7hoUQOuUxFHeFGWqzTRLEVCFmDKG8JnnzyKT1zWin+8aX1B1jDmCqBSq4BCJoFFJ/wBzuSUIQD88JULYGD41FVt8WuMMdzYbsVDr3fB7gnOqYcJhqM4PeTERy9pydr3sNy8Z3Md3r4wgR+9egG7Wytx5ZrqQi+pZHjjW4rJ344UMgkuX23Bn86MIRrl8aC/kCcURVtimau7/t++GdeNGjl++vHd2JjlQyZ1sQ9Jw1N+rM5zs1eydBRwEbIA4hHwMyOFa3Y57grEM1s1erHbfPpPvOOuAH55sB937WqK/+EW3bjRih+9egEvnR7FB3Y0zrjt3KgLwUgUm6jh6by+dssGHO514PNPdeD5z16GGr0KnHO4AmFwDhjUS6/hWY58aTJcgHAa9PfHh/Gt50/jH24UBoafHxV+BwvZF86kVeDfbt2IkSk/jBo5DGo5jBoFNjUYUKPP/kD5Wj01Py1lFHARsgA9Ng8A4GwBA64xVyA+LNoS31JMn+F6u8uGcJTjfdsb5ty2sV6PBpMazx8fnhNwdcQK5jdRwfy8VHIpfvjhrbjl+2/iuu+9DgljmPKFEIlyyCQMf/7ClWiqWvgMveXOFyuGT3ZKUXTzJisO9kzi/73RDc6Bf7xpHc6PuaFXyQo+OP0jFzXn7bWo+Wlpo4CLkAXonhD6LY25Akm33/Jh3OlHm8UMQBjya9TIM8pw7e+yoUIpw4Y6/ZzbxG3Fx97sxpQvNCMbc3xgCkaNHI2V6jmPIzO1VevwP3+xHU8fGoBeLYNRLWz9fvelc/jTmVH85SWLm6O3nPlCEUglDHJp6vpAxhj++T0bwBjDw3u7EeXTJxQX27m9FFHz09JGARchC9A94Yl/fXbUhYtWVOX19TnnGHcHUK2f/lRfo1PFW0XMZ3/3JHa0mFJ2ir9hYy0eer0LL58axR0JWbBjA1NorzeU1RvbUlyx2oIrVltmXHvmyCBePTtOAVcS3mAEGrk07c8XYwxfu2U9JIzh0Te7AQAfnJWNLQd11Py0ZNEpRUIWoGfCg9WxuW2F2Fa0e0MIRXi8hgsAqvXKtPMUx10BdI65sbs1dYC4pdGIOoMKPzvQh3d6JuELRuAPRXB21IXNWTxpVY6uWGPBvi5b/EQemeYPRaCaZzsxEWMM/3TzOnz8UiFwXV1bfoXjtdT8tGRRhouQDHHO0TPhwW3b6jEy5cfZ0fwHXNNd5qcLci06JS6MzT/P7UD3JADgohWVKe/DGMNHL2nBN/9wBu//n7chlTA0VWoQiXK0U8H8klyx2oLH3uzBvi4bnWCcxRuMJG16mgpjDP940zpcusqMHS2pf56XK6tBjTc7bYVeBlkECrgIydCEOwhXIIxWsxZra/UFyXBNd5lP2FLUqzDuDoBznnJbZl+XDRqFNO0x9fsuX4lbt9bjWP8UOgYcONrvgFouxe7W8ntjy6aLVlRBKZPgtXPjSQOun+zrRa1ehWvX1xRgdYXlC0bmPaGYDGOsbAPXxOanOhWdfC0lFHARkiHxhGKLWYvVtRV49sjQvEFOLohbh5aKhC1FnRKhCIfdG0JliiL+/d027GipzGh4brVOhWvWq3BNGb7554pKLsVFK6rw2tlx4JaZt41M+fEvz53Eu1ZWlWfAFYrMe0KRzGRN6MVFAVdpoRouQjIkFsy3VmmxplYPVyCMoTzXUsS3FPWJAZewvZiq27zNHcC5UTdlqQrsitUWdE140Gfzzrj++Ns9CEd5xs1rl5vFZLjKmZW6zZcsCrgIyVDPhAcyCUODSY21saHpYowAACAASURBVGLdsyPOvK5hzBlAhVI2oyt3dbz5afI37On6rfyeqCQzXblGOLn42vnx+DVvMIyf7e8DIGxZlyNfaGE1XOUuHnDRsPSSQwEXIRnqnvCgqVIDmVQSH6uR747ziV3mRTWxDNdYigzXvi4b1HIpdYovsFazFo2Varx2dnom4NOHBzHlC+GiFZWY9AQQifICrrAwfMFIysHVZC6x+SlluEoPBVyEZKh7woMWsxaAMKbFalDhXJ4DrjGXf05n7XQZrv3dk9jebMqofovkDmMMV6y24K0LNgTCEUSjHI/t7camBgNu2GhFlAN2b/lluSjDtTByqQSWCiWGqRdXyaG/wIRkIBrl6LV50RoLuABgTa0u7xmuMVcA1bNmtKnkUuhUsqQZrklPEGdGXPO2gyD5c+XqaniDERzssePVc2PomvDg3ktb40F0OdZxeamGa8GsBhVluEoQBVyEZGDU5YcvFIlnuAAh4Low7kYoEs3LGjjnGHPO3VIEhG2GZBkusX5rN9VvFYV3rayCQiq0h3hkbzdq9Src2G6FOXbqdMJdfgGXcEqRDswvhNWgpoCrBFHARUgGEk8oitbU6BCKCM1Q88EdCMMXiiQNuKp1ybvN7+uyQSWXUP1WkdAqZdjZasLThwbwZqcNd1/cDLlUAnOF0M6j3AKuSJQjGI5ShmuBqNt8aaKAi5AM9MSGVreYNfFra2rzWzgvBlSJLSFE1Tpl0rYQ+7snsa3JBKWM3tCKxRWrLbB5glDLpfjQriYAgDkWRE+4yquGyxcbdUQ1XAsjNj91+kOFXgpZAAq4CMlAj80DhUyCOoM6fm2lpQJSCctbx/l4l3mdas5t4pYi59On3BzeIM6MOKkdRJERO6S/b3sDjBohs6VTyqCQScouw+UNhgEg41mKRCA2Py2FLFc0ymmGaAwFXIRkoGvcg5YqDSSS6a7yKrkULVWavM1UnJ6jODfDZdEpEQxH4fSF49feumAD56CGp0VmdY0OD354G764Z038GmMMlgpl2RXN+4NC/aOGthQXROzFNVQCvbgefbMbV9z/yowPg+WKAi5CMtBj86AloX5LlM+ZiuKbcbIMl3hyUQzKIlGOB/50Ho2VamxtMuVlfSRzN7ZbYdDMHMti1ikxXm4ZrpDwAYFG+yxMKXWb39dlw6gzgCkfbX9SwEVIGpEoR5/Ni1bL3IBrTa0OfZNeeALhJI/MrjFXAAqZBHr13BNdNbGs12hs2/Gpg/04M+LCl29YB4WMfs1LgaVCUXbd5n1BYauJAq6FEZuflsKW4ulh4QNpqj6B5YT+EhOSxpDDh2AkOuOEokgsnD8/5s75OsacflTrlEmHZSdmuFz+EL7z4lnsbDHhho21OV8XyQ5zhbLsarjiARdtKS6I2Py02AOuKW8Ig7FtT7EGtZxRwEVIGmJLiMQeXKI1NfmbqTiWZKyPSLw+5grgwVcvYMIdxFduWp80OCPFyVyhxKQnWFbjfeiU4uJZDSoMFXm3+dMJfxfH3cUdHOYDdZsjJI0eW6wHV5KAq6lSA7VcilfPjsMdiKCj34Gj/Q5IJQx//NxlWW3HMOYKoM1SkfQ2rVIGrUKKQ712vHZuHLdvrcfmRmPWXpvknkWnRCTKYfcG441QlzsvZbgWrdagQtd4fnoALtbp4emAizJclOEiJK2ucQ80CmnS7JJEwrDWqsPzJ0bw9d+dwsGeSdTqVeie8GBf12TS5+Oc46vPnsBzHUMLWseY05+0B5eoRq/CS6dGIWHAl65fk/J+pDiVY7d5McNFw6sXzmpQF/2W4ulhJ6q0Cqjl0rI7gZsMZbgISUM8oZhqe+7+921G94QHmxsMqNar4A9FsPVfX8LLp0ZxxWrLnPufHHLiibd78dP9fdApZbhqbXXaNfhDETj94ZRbioCQIema8OC+y1fCmtAvjJSGeLd5VxAok9I7sYaLthQXzmpQwRUIw+UPQaeSp39AAZwedmGdVY++SS8VzYMyXISk1TPhSbqdKGqrrsC162vihesquRSXrzbj5dOjSXvP/P74MKQShtU1OvzNTw/j2IAj7RrET4eWeQKuFZYKWA0q/PUVK9I+Hyk+8W7zZZjholOKC1cbaw1RrFmucCSKs6MurLPqYqPHinOd+UQBFyHzCEWi6Lf75g24krl2fS2Gp/w4MTizmJ5zjt8fG8YlbWY8/rGdqKpQ4GM/fgd9Nu+8z9cbu73BpEl5n6/evB7Pf/YyaGgQcEkStxTLaetFrOFS0eipBROz2MXai6t7woNgOIp1Vj0suvJr6psMBVyEzKN/0otIlCc9oTifq9dWQ8KAl06NzLh+YtCJvkkvbm63olqnwuMf24VwlOOexw5g0pO6B9OZ2GmftbE2FMmoFdL4qBhSevSq8hvv4w9FoJJLZkxwIJmxFnmG61SsYH6dVR/LcJXPz3UqFHARMo8XT40CAFbXJD8dmEqlVoEdzZV46fTYjOu/Oz4EmYRhz4YaAMI8xofv3oFBhw9/9/SxlM93etgFi06JqjI5vVaO4uN9yijg8gbDlJFdpJpYCUOxtoY4PeyCXMqw0lKBar0KLn+47GcqUsBFSAqdYy5896Vz2LO+Bu31hgU//tr1NTg97ET/pLAdKG4nXrrKPCMTtaOlEnftbMSbnRMpezCdGXHOm90iy4O5zLrN+4JRagmxSAqZBOYibn56etiJtmodFDKhSStQXtvlyVDARUgS4UgUX/jlMWgVUnzjtvZFNRC9Zr2QxXr5tJAlOzYwhQG7Dze1W+fcd1ODEd5gBN0TczvWhyNRnB9zY51Vv+A1kNJirlBioozelHyhMBXML4HVoCraGq7Tw06sswofEi16sTFzca41XyjgIiSJh97oQke/A//63o3zngycT6tZi7bqCrwU25b8/fFhyKUMezbMPfPf3iBk0I4NTM25rccmFJ9Shmv5M5fZlqIvGKEM1xJYDaqizHDZ3AGMuQJYH/uQKLazoQwXIWSGsyMufO+l87ixvRY3b5qbjVqIa9fXYH/3JBzeIH5/bBiXr7LAoJ7bM2elpQJquTRpwCUOf11bSxmu5c6iE8b7RMtkvI83GKEM1xIU63gf8W+WmJW3JIweK2cUcBGSIBSJ4ou/7IBOJcPX37txybMIr1lXg0iU43svn8egw4ebUgRwUgnDxno9TgzODbjOjDghlTCsrF7YSUlSeswVivh4n3LgD1GGaylqDWq4/GG4A+FCL2WG0wknFAGgSquEhNF4Hwq4CEnws/19OD44hX+7dWNWTgRubTTCXKHE42/3QCGVxOu6ktlYb8DJISfCkeiM62eGXVhp0WZ1LiMpTtPNT8sj4PIGI9RlfgnqjMXZGuL0sBM1eiUqtcLhIKmEoaqCenFRwEVIgkO9dtQb1bghSWH7YkgkDNesqwbnwOWrLdDPM4JjU4MBvlAEF2YNpD0z4qLtxDJRbvMUfZThWpLaWGuI4SLbVjw17JxzyGch3eb/d18vvv+n8xlvrUeiHP/621N4/dz4gteaT2kDLsbYo4yxMcbYiVnX/5YxdpYxdpIx9h8J17/MGOuM3XZdwvXtjLHjsdseYEvdqyEkB3psHqywZHfrTuy5dcvm+YO49nojAMwY9eP0hzDo8GGtlQrmy0G5dZv3h6iGaymKsdt8MBzFhfG5p6ozbX56qHcS//TsCXznpXP4/FNHEZqV8U/mh6904tE3u/Hffzq/6HXnQyYZrh8DuD7xAmPsKgDvBbCJc74BwH/Grq8HcCeADbHHPMgYE3+bfgTgPgCrYv/MeE5CCo1zju4JYVB1Nl21pho//fhu3LKpbt77rTBroVVIZ9RxnR2JFZ9ShqssWMpsnqKXTikuSY1B+HnJZEuxo9+Bm7//Bqa8oZyuqXPMjVCEzwm4Mhnv4wtG8MVfHkOdQY3PXN2GZ44O4b4nDsaHnCezr8uG7718DlVaBQ712jFgn39MWiGlDbg4568DmJx1+ZMAvs05D8TuI7bTfi+AJznnAc55N4BOALsYY1YAes7521yY5vsEgFuz9U0Qkg2TniBc/vCCx/ikwxjDJW3mtONLJBKGDfUGHEsIuM7Eik8pw1Ue9CoZFFJJWbSG4JzDF6IarqVQyqQwVygyynD95sggTgw68U7P7Lfz7BIL5tfP+ptVrVNhwh1I2dwZAO5/4Sy6Jzy4/32b8Pk9a/CN2zbi1XPj+Mgj+5MGijZ3AJ998ghaqrT434/vBgD8/thwFr+b7FpsDddqAJcxxvYzxl5jjO2MXa8H0J9wv4HYtfrY17OvE1I0emxC7VSrOfWA6FzbVG/AqYTC+TMjLuhVsnitBlneGGNCt3nX8i+aD4Sj4BxQUcC1JLUGVUY1XG+cF+qbOhJKFnLh9LATSplkzk5BtV6JKEfKmbH7u2x47K1u3P2uZlzcZgYAfHh3M374oW04PjCF2x58E78+PIBAWMh2RaMcn3+qA3ZvCN//0Fass+qxpdGI3x4byun3txSLHWIlA2ACcBGAnQCeYoytAJDsIzyf53pSjLH7IGw/oqmpaZFLJGRhuieEVHS2txQXor3BgEB4urP8mREX1lr1S25PQUqHWacsiy1FcZtIQ1uKS1KrV6fdRhty+OKHcY72Zz/gCkWiONxrx6vnxvHM0SGsqdVBJp2ZzxHH+4y5/HOaSXuDYXzpV8fQaNLg765fO+O2G9utMKrl+KdnT+DzT3XgG78/jbt2NYGD47Vz4/j6rRuxoU5oHH3L5jp8/Xen0DXuxgrLwubf5sNiM1wDAH7NBQcARAGYY9cbE+7XAGAodr0hyfWkOOcPcc53cM53WCyWRS6RkIXpmfBAKmForCxchkuc2Xh8YArRKMfZERfWUYf5smIuk+Pz3tggYyqaX5o6Y/rxPnvPTwAAtjUZ0dHvgFDZs3QDdi8+++QRbPvXl/DBh/bhode7sMKixeeuWTXnvtX61M1P//35M+i3e3H/+zZBq5ybB7q4zYyXP38FfnLvLmxtMuGHr3bih69cwE3tVnxk93RS5qZ2KxgDfttRnNuKi81wPQPgagCvMsZWA1AAmADwHICfMca+C6AOQnH8Ac55hDHmYoxdBGA/gLsBfH/Jqycki7ptHjSY1JBLC9ctpaVKC51ShmODDrxrZRXcgTDW0gzFsmKuUCRtgLvciBkutWKxb0MEELYUp3wheINhaFL8t3z9/DiqdUq8f0cjvvzr4+ixedG6hFrVSJTjx2/14DsvngUAvGdzHa5cY8HFbeaUrW8sFUJZxOwPE+5AGD/Z14sP7WrC7hVVKV+TMYbLVllw2SoL+ie9+POZMdyxvWFG9r/WoMKulko81zGIz7y7reh2BtL+pDPGfg7gSgBmxtgAgK8BeBTAo7FWEUEA98SK4U8yxp4CcApAGMCnOOfi8YJPQjjxqAbwfOwfQopGTw5OKC6UUDivx/FBZ7z4lGYolheLTglbbLxPuoMWpSwecNGW4pJYDWIvLj9WJtlGi0Y53uycwFVrq7GlUWg909HvWHTAdWrIib//9TEcG5jCVWss+PqtG9FgSr8rIGa4Zgdcx/odiHLguiQzZlNprNTgnotbkt52y+Y6fOWZEzgz4ppzUrLQMjmleBfn3Mo5l3POGzjnj3DOg5zzj3DON3LOt3HO/5xw/29wzldyztdwzp9PuH4wdv+VnPNP82zlNAnJAs45eiY8S/rUly2bGow4PeyMZzlW11DAVU7MFUpEohwOX26P7xeaL7alSKcUl6ZWL/TiStUa4uSQE3ZvCJevsmBVtTCzdbF1XPu7bLjlB3sx5PDhgbu24tGP7swo2AIAlVwKnUo2J+A6ElvL5lgwuFQ3tlshlTA811F8xfPUaZ4QCKNUPMEIWqoKV78laq83IBiO4rmOITRXaZLWNJDlq1y6zXuDwvw/FWW4lkQc75Oqjuv12OnES9rMkEklaK83pDyp6PKH4A8l73nFOcd/vHAW1TolXvo/V+A9m+sWvGVnSdJt/kifHSstWhjUqadwLESlVoFL28z4bcdQ1mrVsoUCLkIw3RIi2z24FkMsnO+xeWk7sQyVS7d5P2W4sqJGHO/jSN4aYu/5Cayz6uMnAzc3CjNbg+GZHdw557jjR2/hnkcPJB2p88b5CRzqteNvrmqDKTYjcaGqdcoZA6w55zja78DWJtOini+VWzbXYcDuy8mJzKWggIsQAN0TsYCrwDVcANBcpYFOJWS1aIZi+bHohDez5Z/hohqubFDJpajUKjDsnJvh8gbDONg7ictXmePXNjcaEQxH41MsRIf77Dg36sb+7kn87EDfjNs45/ivl8+hzqDCB3Y0YLGqdaoZTX0H7D5MuIPx2rJs2bOhBgqppOhOK1LARQiEgnmZhKHBpC70UsAYw6YGIcu1jjrMl51Up7mWGx+1hciaWr0qaQ3X/u5JhCIclyYGXA1CcHN01rbirw4NQi2XYldrJb79/JkZz/fauXEc6XPg01evglK2+P+/LLEMl7jVd7jPDgDY2pTdgEuvkuPitirs7SyuYdYUcBECYUuxsVIzp1lfoWyMbSuuoQxX2dGrhfE+E+7l3W1+ui0EBVxLlaoX1xvnJqCUSbCzpTJ+rcGkRpVWgY6E7TZ/KILfdQzhho21uP99mxCORvGVZ06Acy5kt146h3qjGu/bvvjsFiBsKfpCEbgDQv3e0X4H1HIp1uTgYJDVoE7Z1b5QqBqXEAhd5ouhYF704V3N0CllRbUmkh+MMVRVKJb9liK1hcieWoMKB3vtc66/cX4cu1orZxxMYIxhc6NxRsD14qlRuAJh3LG9Ac1VWnz+2tX45h/O4A/HR6BWSNAxMIVv394OhWxpH0jFOrJxVwA6lRxH+hxobzDk5INupVYOuzcEznnR9OMqjo/zhBQQ5xy9Nk9RFMyLmqo0+PTVq4rmDwXJr3LoNu8NRSCXsoI2Gl4urAY1HN5QPIgFhDYR58fcuCxhO1G0ucGIznE3XH6h9cjThwZQZ1DhXbHGox+7pBXt9QZ87bkTuP+Fc2isVOOOJWa3AKGGCxC6zQfCEZwacmZ9O1Fk0igQiXI4/eGcPP9i0E86KXtjrgC8wUhR9OAiBBC6zZdDhotaQmSH2Px0JKFwXhxWfWnb3PF4mxsN4Bw4PjiFUacfb5wfx+3bGuKNdmVSCb59Rzvs3hBODzvxt1evykpgnNj89NSQE8FIFFuzXDAvMmmEwycOb/FsK1LARcpeMZ1QJAQQtl7KIeCilhDZUWuY2Rri2IAD33v5PGr1qqStZcTC+Y7+KfzmyCCiHLh9W/2M+2yoM+Dvr1+LS9qqcPvW+jnPsRjTA6wDONInbGlmuyWEyKQV+noVUx0X1XCRstcTC7gow0WKhUmrgN2z/DvNU/1WdlgNwunq4Sk/njzQh68+exIWnRIP3b096Xgok1aB5ioNjvbb0TXuwbYmI1YkGQv0ictX4BOXr8jaOo0aOeRShjGXH0MOP+oMqngfsWwTM1z2IspwlX3A9c/PncTIlB//8xfbC70UUiDdNg8UUgnqjIVvCUEIIBxrD0aiCIQjSzqGX8y8wQgNrs6S2ljQ8p0Xz2Joyo/LVpnx33duReU8DUo3NxjxwskRBMJRfPO29ryskzEGS6w+8Wi/HVtyVL8FJARcRfTBpey3FIORKN66MFF0IwBI/vROeNFYqYZ0GQ8KJqVFbHzrKqKC32zzhyJQy8v+LSgr1AopTBo5hqb8+MzVbfjxX+6aN9gChAaogXAUCpkEN22y5mmlgEWvwulhF/onfdjamJvtRADxbviU4SoiG+r0+Nn+PgzYfWispCP45ajHVhxDqwkRVSinAy5x1M9y4w2GoaEMV9b8+x2boFXKcEnb3FOJyWxpFHr97Vlfk7U5hpmo1inx0qlRYQ05zHDpVTJIJayoAq6y/3ixoU74oTs5NFXglZBCiEY5emweKpgnRUWnEt4A3cs4w+ULRemUYhbt2VCbcbAFAO31Rrxncx0+eeXKHK5qLrEXl0zCsDH2/psLjDGYNHJM0pZi8Vhbq4NUwnByyFnopZACGHX54Q9Fi6oHFyHTW4rF82aRbb5gmE4pFpBCJsEDd22NJx3ypToWcK2z6nM+ZcCkUVBbiGKikkux0qKlgKtMUUsIUozEgKuYmjZmG51SLE9i89NsD6xOxqRRFFVbiLIPuABhW/EUBVxlqWfCCwBoMVP9HikeOqWwpbicM1zCKUUKuMqNuKWYqw7ziUxaORze4vkdooALwHqrHiNOP2zLvNEgmavH5oFCJkGdgVpCkOIhZrjEIb/LkT9EAVc52r2iEh/e3YR3r6vJ+WuZNApM0pZicdlQpwcA2lYsQ90THjRXapI2BySkUCqWeVuIUCSKUIRDQ1uKZUevkuMbt7Xn5WSk0EA4WDRtnyjgArCeAq6yNUjtQEgRkkslUMuly3ZL0RcShixThovkkkkjRzjKiyZTTAEXAKNGgXqjmlpDlCF3IAy9inoBkeJToZIt2wyXP0gBF8m9Yus2TwFXzIY6PRXOlyF3IBzfviGkmOiWccDlFQMu2lIkOVRZZN3mKeCK2VBnQLfNA0+RpB5JfrgDYWiVFHCR4qNTyeEqwb9HF8bdONxnn/c+4pYi9eEiuWSMZbiKpXCeAq6YDXV6cA6cHqYsV7kIhqMIhqOooPEipAjpVbKSrOH69vNn8InHDyIaTV2oLGa4qNM8ySUxw1UszU8p4IqhwvnCeviNLnz+F0fz+ppiNpMyXKQYVShLc0uxf9ILmyeIU/N8ePXHM1z0u0dyx6QRTkIWy3gfCrhirAYVTBo5Fc4XyL4uG54/MZLX47viyRWq4SLFSFeCGS7OOQbsPgDAG+cnUt6ParhIPuhVckgYZbiKDmNM6DhPW4oF4fCG4AtFMO7KX/NZTzAWcFGGixQhnUpecsOrp3yh+AeZN86Pp7zfdFsIegsiuSORMBiLaLwP/bQn2FCnx7kRN0KRaKGXUnYcPuGTfN+kN2+vKb6Z0ZYiKUY6lQyeYASReWqhio2Y3Wqu0uBgjx2+WCZrNl/sw46athRJjpk0cjqlWIzW1+kRjERxftRd6KWUHXHeVa8tjwFXgDJcpHjpVEL9SSZZruEpH/7td6fwk329uV7WvAbswu/vnTubEIxEsb/blvR+PtpSJHli0iioD1cx2lBnAACq48ozzjmmfMInkN48Zrg8AeGPPgVcpBjpYj+XznnquAYdPnzlmeO44j9excN7u/HPz50s6ElrMcN1+7Z6KGQS7E1Rx+WlthAkT0xaBWW4ilGrWQu1XEonFfPMG4wgFBG2Tfpsnry97vQpRfqjT4pPugHW//HHM7jy/lfwi3f68b4dDfjd314Kg1qOrzxzYt6WDLk0YPdBp5KhRq/CzhZTysJ5fzACxgCljN6CSG5VaijgKkpSCcNaq446zueZWL8F5LeGS2wqqVPmfogqIQslbikmaw3h9Ifw4KsXcPkqC1790lX45m3t2FhvwN/fsBaHeu345aH+fC8XgLCl2GASZpNetsqCs6MujDr9c+7nDUaglkvBGA2NJ7ll1Mph94SKYoA1BVyzbKjT49Sws2CfEMuReGTXpJHnNeCiDBcpZmKGK1lrCJtb+J25ebMV9UZ1/Pr7tjVgZ4sJ33r+TEFOZg3YfWgwCeu5tM0MAEm3FX2hCNVvkbyo1CgQjETjrUgKiQKuWdZbDXAHwhh0+Aq9lLIxFSuYb28wYsIdzNtkd08gDKVMApmUfg1I8amIB1xzfx8mPUL7lEqtcsZ1iYTh325th9sfxrf+cDr3i0wg9uASA671Vj2qtIqk7SF8wQgNriZ5IQ6wLobWEPROM0tbdQUAoHOMTirmi7iluLlBOLTQl6eTiq5AmArmSdGKZ7iSfAARM1xVsdElidbU6nDvZa345aEBvNMzmdtFJhB7cIlbihIJwyVtZuzttM3ZMaAMF8kXU3y8T+FPKlLANcsqCrjyTvxF2NRgBAD0TeancN4TCFOXeVK09PEarrlvFOKn9cokARcAfPbdq1BvVOOfnjmRuwXO0j8p7AqIGS4AuGyVGRPuAM6MuGbc1xuM0AlFkhfx8T5FUDhPAdcsJq0CVVoFBVx55Ii1hIhnuPJUx+UJhKGlxoukSCllEsilLOmWoi1NwKVRyPDBnY04M+JCIJyf2hWxB9fMgMsCANjbOXNb0ReK0OBqkhdihstOW4rFaWV1BTrHKeDKlylvCEqZBNV6FQxqed6an7r8tKVIihdjLDbAOnmGS6uQzhu0GNSZN07NBrEHl7ilCAC1BhVWVVfMaQ/howwXyROxhqsYWkNQwJVEW3UFOsfcRXGMtBw4vCEYY2nf5ipN/jJcQdpSJMUt1TzFSU8QlRXJs1si8cOE2OA31wbsXuhUsnigJ7pslQUHuidnBI6+EBXNk/wwqOVgjDJcRavNUoEpXwgT7sL/H1QOHL4gjGrhzaOpUpO3DJcnEKE5iqSo6VSylFuKs08ozhY/5RjIT7GwcEJRM+f6rVvrEIxE8d8vn49f8wUjUMvpd4/knlTCYFTLYaei+eJEJxXzy+ENwZCQ4Rp0+BDOwwBxdyCMCurBRYpYqoBr0hNIekIxkZjhyueWYmL9lmhTgxF37mzCY2/1xJtKCxkuevsh+WHSKKhovljFAy6q48qLKV8Ixtg2RHOlFpEox5BjbnfqbHNTDRcpcjqVPOksRZs7mLJgXhQPuPLQ107oweVNGnABwN9dvwZGtRxfeeY4olEObzAMDR1YIXli0iriDbYLiQKuJKwGFbQKKTpHXenvTJYssYarqUrYkujNcWuISJTDF6ItRVLcdMq5GS7OOWyeYPoMV5pZjNnk8IbgCUaSbikCgFGjwD/cuA6H+xz4+Tt98IeidEqR5I1JI8ekh7YUixJjTCicpwxXXjh8QRg10zVcAHJex+UJCm9ClOEixUynks0JmDzBCILhaNoMl06ZulN9tk2fUEye4QKA27fVY3drJb79hzMAQKcUg2o/2gAAIABJREFUSd6YNJThKmorYycVSW75QxH4Q9H4yaZavQoKmSTnJxXFuhYKuEgx06nkcAfCM05MT7rn78ElymeGK1kPrtkYY/i3WzfCFxJOTVKneZIvJq0Ck55gwTsPUMCVQlt1BUadgaT1EyR7pmJjfcQtRYmEodGkzvl4n+nB1RRwkeKlU8kQifIZg3dtsTmKVWnaQqjlUkhYformk/XgSmZVjQ73Xb4ivj5C8sGkUSAQjsaD/UKhd5sU2ixC4fyFMTe2NpkKvJrlSxzrI7aFAIDmKi16c53hClCGixS/xAHW4oeD6bE+87eFEBun5ivDlawHVzJ/e/UqRKIcl6+25HxdhADT433s3lBBD2tQhisFag2RH+K+upjhAoQ6rj6bJ6fpXzdluEgJ0MXmKboTemmJY33SFc2Lj89XDVe67JZIrZDiyzeuQ61BleNVESIolvE+FHCl0FSpgUIqocL5HHPEthQTPxk3VWrgCUbibyy54KEMFykBuliGy5kQNKUbXJ1IyHDlviwiVQ8uQoqB+LtS6PE+FHClIJNK0GrW4gJluHJqyjuzhgsQmp8C6U8q9kx4YHMHFvW67ti4Ewq4SDHTq+aeNJz0BKGUSTI65VeR5JRjtqXrwUVIoYlbipOU4SpebXRSMeccPnFLMbGGSwi4+tPUcX3s8Xfwnh+8ieEp34Jfd7pongp3SfGqUApvFIlzCG1uoQcXYyyDx8viHy5yJV0PLkIKTRxg7SjweJ+0ARdj7FHG2Bhj7ESS277IGOOMMXPCtS8zxjoZY2cZY9clXN/OGDseu+0BlslfiwJbWV2Bvkkv/AU+2bCcObwhyCQM2oRP6w0mDRibP8MViXL02bwYdPjw4Yf3Y2KBma540TwNryZFTNxSdM/IcAXSDq4WVahkcOf4pHUmPbgIKSSxZKUUMlw/BnD97IuMsUYA1wLoS7i2HsCdADbEHvMgY0x8J/0RgPsArIr9M+c5i01bdQWiHOieyG3X83Lm8Ald5hPjb5Vcilq9at5u8+OuAMJRjtu31mPI4cPdjxyIt5jIhDsQhlzKoJRRhosUL12KLcV0JxRFFYrcbylm0oOLkEKSSSUwqOUFb36aNuDinL8OYDLJTf8F4P8DkHiU7L0AnuScBzjn3QA6AexijFkB6Dnnb3Ph6NkTAG5d8upzTGwNQduKuTPlDSU9Si6cVEyd4Rp0CJ+qb9lch//7FztwfsyFj/34HXiDmb25eAJhOqFIip5WIQNjs7YUMxjrIxIyXLkOuDLrwUVIIZk0ckwW+5ZiMoyx9wAY5Jx3zLqpHkB/wr8PxK7Vx76efb2orbBowRgFXLmUONYnUVOlZt5u82LAVW9S44rVFjxw51Yc6bPj87+Y/SOZHA2uJqVAImGoUMjmnFLM5IQiINRweYIRRKK5a7GykB5chBSKSasovbYQjDENgH8E8NVkNye5xue5nuo17mOMHWSMHRwfH1/oErNGJZei0aSh1hA55PCGYEzyh7q5SoMxVwC+YPL6uaFYwGWN9fK5od2Ku3Y14Y3zmf28uAMUcJHSkDhP0R+KwBuMZBxwiVuSngwzv4uxkB5chBSKSaMoybYQKwG0AuhgjPUAaABwmDFWCyFz1Zhw3wYAQ7HrDUmuJ8U5f4hzvoNzvsNiKWw34lXVFdQaIocc3hAMmmQBlxYAUtZxDdp90Ktk8caQgDCHURzsm44nSFuKpDQIzUuFrZCFND0Fptue5HJbkXpwkVJg0pRghotzfpxzXs05b+Gct0AIprZxzkcAPAfgTsaYkjHWCqE4/gDnfBiAizF2Uex04t0Ans3et5E7bdUV6Jrw5DQlX86mfKEZY31ELWLAlaKOa8jhQ/2sT9ViLy+x1cR83H4KuEhp0Klk8aL5TAdXi3I9wDoa5eib9KKRMlykyFVq5bAXew0XY+znAN4GsIYxNsAYuzfVfTnnJwE8BeAUgD8C+BTnXNwT+iSAhyEU0l8A8PwS154XK6srEAxH0/aEItNGnX785O2etKN5QpEo3IHwjKanoqZYL66eFCdEBx0+1BtnjgYRa8GmMvilcgfC0FHARUpAYsCV6eBqkZjhytV4n75JL3yhCNbW6nLy/IRki1GjgC8UKWibp7TvOJzzu9Lc3jLr378B4BtJ7ncQwMYFrq/gEmcqtpi1BV5NaXjo9S48srcbl66yoHWe/2ZiG4dkAZdBLUelVoGeFBmuQYcPu1srZ1ybznClD7g8gQg1PSUloUIlj/8eZDq4WqTLcYbrzIgTALDWSgEXKW7mCgVMGjmc/hBU8sL87aeP+Gk0VQqZFvFUHEnvlbNjAIDjg1PzBlxi199Up5uaqzTotc3NcDn9Ibj8YdQZZ9aNiN2EM9mnp7YQpFQIGS7hd2UhcxSB6U71uarhOj3sAmPAqmoKuEhx++DOJnxwZ1NB10CjfdKo1CigkEowtIjxMeWo1+ZB17gQJJ0YnJr3vlNJxvokaqnSJq3hEk8ozg64xMAtXYaLcw53kLYUSWnQqabbQtg8QcilLD5jMZ3pGq7c1K6cGXGitUoLdQZzHQkpdxRwpSGRMNQaVBh2+Au9lJLw6lmhLYNFp8TxgfkDLjHDlawtBCAEXENTvjl77kMJPbgSmbTivKz5M1zeYAScgzJcpCToVXIEw1EEwhHY3AGYNJnNUQQSTinmaJ7i2REXbScSkiEKuDJgNagwMkUBVyZePTuGlioN9qyvwYmhqXkL5+MBV5IaLgBoMWvA+dwh1oOx4Ld+VoZLq5BCJmFpB5ROD66mgIsUv8TC94U0PU18bC62FD2BMHonvVhbq8/6cxOyHFHAlQGrQUVbihnwhyJ464INV66pRnu9AS5/eN4B1OLWX7K2EMB0L67ZhfODdh/kUgZLxczCYcYYjBpF2qO/rljApaPB1aQEJA6wtnmCGZ9QBACphEGjkOZkS/HcqAucA2vohCIhGaGAKwNWoxqjTj+i1ItrXm932RAIR3HV2mpsrDcAEArnU5nyBsFY6sCnJdYaYnbh/JDDB6tBDYlk7raKUSOP14alEs9wKSjgIsVPbO47neHK7ISiSKvMzQDrMyMuAMA6ynARkhEKuDJQZ1AhFOGYiPXAIcm9emYMKrkEu1srsbpGB4VUMm/hvMMnDK5OFjgBQjG9QS1Hz6yAS+jBlbyztVEth90z/6d5N20pkhIifiBx+UOYdGc+uDr+eKUsJ324zo64oFVIqcs8IRmigCsDtQbhDwoVzqfGOccrZ8dx8UozVHIpFDIJ1lp182a4Us1RTNRSpZmzLTn0/7d379FxXuW9x7+PRjOSRreRbPl+kePEDsRxTIiTEGhLSk+5BUhvEEgJCelJS1lltastHA70ctrS00JLKavQHnpCEi5NSYFCy+W0nJwCJSQxgQTbBDvxJb7Eli3rPrrOaPb5433f0diakWZGMxrNzO+zlpetVyN5P379So/2fvazhyfn7VAMxKKRRXcpBvUsOktRqkHw/3RgfIax6WRBNVzg7VQsxwzXj8+OsnNde84fmETkYkq48hAckHxWdVw5HbswzsnBCW7eOXf25a6NnRx8Pnfh/PBkgs4cLSECvatbOZ7RbT4xm+Lc6NS8LvOBWDS86C7F4CDfNtVwSRXo8JcUT/qbRwpOuJoaS14075zjUN8YV67XcqJIvpRw5SGYTTmjGa6cgnYQL9+5Jn3t6o2djE4l098oLjUyMbPoDNfWVa2cGZ5kOulta+8bmSLl5reECHRFw4vuUgy2yKvTvFSDYEkxqGVcXUDRPPgJV4lnuPpGpxiZTOhIH5ECKOHKQ1c0TFNjA32jSrhy+ebh81y+po3N3XOH2F69SOH88GQiZ0uIQO+qKCkHp4e82cVcTU8D+ZyXFRTNa0lRqkEwExvs1i20aL6tufQ1XIfOegXzagkhkj8lXHkwM681hI73yWp8OsnjxwYvWk4E0oXzOROuPGq4gtYQwU/3wRFLOYvm/QRuZIE6rvhUkgaDlgqdpyVSiHCogeZwQ/oZKHRJsb0MM1zBDkW1hBDJnxKuPK3vbOGsmp9m9d2jA8zMpi5aTgSINDawc1171p2KsynH6FQeNVx+a4jnLng/3S86w+X39BpaoI4r7p+jmG+3bpFKa28Oc27U2yVd6C7FoGh+oSbEhTrUN8rGWEvOc1BFZD4lXHlaH1O3+Vy+efg8rZEQ1/V2zXufVzg/Ou+L/dhUAudyH+sT6G6N0N7UmG4N8fzwFKtaIzlPe+/yZ7gWquMan05qOVGqSlDHFWqwgpOctqYwsynHVCJVsvEcOjum+i2RAinhytP6zmb6RqeYVfPTeY5fGGfnunaaGucnQVdv7GRkMsGpwYuXYxc71idgZvSubk3Xrzw/PJmzYB6gM4+EK66ES6pM0Py0K5q7b10ucwdYl2ZZcSaZ4mh/XMuJIgVSwpWn9Z0tzKYc/WNqfnqpoYlEzrqSXIXz6WN9Fkm4ALauiqbrV84MT7KhM3fC1RVd/ADrYElRpFp0+ElTofVb4NVwQXEJ18hEgn3HBy+6drQ/TjLl1BJCpEBKuPK0we/7pDMV5xuemCGWoxZrx7o2wiGbn3D5CVFnjnMUM/WuauX00CSJ2RTPDy08wxUkcAs1P9WSolSb4P9rMQlXsQdYH+2P84aPfYc3/q9H+cxjJ9LXD/WNAvACzXCJFEQJV57WdXjf5FXHNd/g+Ey6dupSTY0hdqxt50dnLk64Rgqc4ZpNOQ4+P8JkYjZnwTx4Ow8jjQ2LFs0r4ZJqEtRwrSqwJQTMHWE1VsAB1t89eoGf+9gjjE0luWFbN7//5YN84+lzgFe/FQk1sG11a8FjEalnSrjylJ7hUmuIi0zOzDKdTOWc4QJvWfHAJR3n0zVceRQA9/pf2L97dAAgZ5d58Gq+Yi1hRhYsmp/VkqJUlaCGq6glxebCZrge+t4p7rh3H2s7mvnSO1/KfXftZdfGTn7jwR/w5Mkhftw3xhVr22gM6duHSCH0xOSpsyVMSzik1hCXCGaSFvpGsGtjJ8MTiXTzUphLuPLZcbXVbw3xyJELAGyMRRd6OV3RSB4zXOrBJdWjfQk1XG0F1HB94ttHefcX9vOS7av4wq/fxObuKNFII/e+bS9r2pu5+4En2H96WAXzIkVQwpWnoPlpuZYUv7L/DO//0oGyfO5yChKbXEuKAHs2xwD43PdOpa8NT87Q3tSY10/JPW1NtEZCPHFiCJibbcylc4HjfZxzKpqXqhMkTasKPNYH8t+lODaV4KMPH+EVV67hvjv3ps9wBOhpb+L+u/binGN4IsEL1GFepGBKuAqwPtZctqL5Lz91hn94/GT6zMBqMdfeIfc3gqs2dPAL127ib/7jCA894SVdIxOJdAuHxZgZW1e1MpNM0RxuWPSn/FhL7oRrOpliNuV0cLVUlY4lLCkGydpix/t84funiU8nedcrrsj6g9BlPW3ce+deeldFuenyVQWPQ6TeKeEqwPrOFs6W6QDro/1xUg5ODGQ/6Hmlmpvhyv2NwMz4nz9/NT9xxWre+8UDfOuZ/rzOUczUu9pbRtwQa1m0Q3xXNMLwZPYlxbjOUZQqtJQlxabGBsIhW3CGK5VyfOrRE+zZHOMaf0Y6m2u3dPHN372ZqzZ0FjwOkXqnhKsAGzqbOT82RXK2dB2bwWskGCRax/rjJf3c5TbkzyQttKQI3jE/H7/9Wnasbecdn/k+Pz47mj6GJx/BmYq5zlDMFIuGGZpIZD3KJDi4ujWihEuqx95t3dy6ZwO7N+VOhnIxM9qaGhcsmv/2s/0cuzDOXS/tXcIoRWQhSrgKsK6zhZSD8yVufnpycDzdwf5o/3hJP3e5DY17M0kLLSkG2pvD3H/XXmItYc6OTOW9pAhzZyrml3BFmEmmsh5lEiyraElRqsnqtiY+ctuLip6ZDc5TzOX+7z5HT3sTr961vtghisgilHAVYL1frH22xHVcR87PJVlHq26Ga4bWiNf7Kh9rO5p54O3X09kSZtMCDUwv1evPcC3UgysQLFVm26k4riVFqUNtTeGcNVzH+uN883A/t9+wJe/nWEQKp+86BQiOlDkzPMWLt5bu8wZJ1jWbY1U3wzU8kaCrwLqSK9a28+1330w0kn9rhp3r2mlvalywviSQeYD1pQna+Iy/pKiES+pIe1Nj+oeNS33q0ROEQ8ZbbtiyzKMSqS/6rlOAdZ3eDFepW0Mc7Y+zvrOZqzd28OWnzuCcW7QwfKUYmphZsGA+l3z6b2WKRSPs/8OfzevfJTguKNt5iuklRSVcUkfamhuzngM7NpXg898/zS27N7CmfeF2KyKyNJo/LkBHcyOtkdC81hB/9vVD/MoD3yv68x49H2d7Txvbe9oYm0pyIZ67aedKMzRR2G7Dpcg3Ce1qzX2e4vi013ZDCZfUk7am7DVcQSuIt93Uu/yDEqkzSrgKYGasj13cGuLc6BSf/M7xdFPOQjnnONo/zvaeVi7raQOqq45ruMgZrnKKpWe4siVcwZKiOs1L/Whrbsxaw/Wpx7xWEHvyWKoXkaVRwlWg9Z3NnB2dS7ju/c5xZmZTjEwmimoXcX5smvh0ksvXtHGZf2bgsSqq4xpa4ODqSlmoaH5MbSGkDnkzXBf/AHIhPs2x/nFu2a2diSLLQQlXgdZ3NnPWP8B6ZCLBZx87QXO4AedgJMsS1mKOnvdms7b3tLEx1kJTY0PV9OJKzqYYnUrm1RJiOTWHQzSHG7Lej/HpJK2REA0N1VEjJ1IKbU2NTCVSJDJ+KDzcNwbAC9brmB6R5aCEq0DrO1voj08zk0zxwKPPMT4zy9tfug2AwfHCa6+C5cPta9poaDC2rW6tmiXFoEZqpc1wgX+AdZb7Ma5zFKUOBTWLmTsVg4Rrx1odRC2yHJRwFWhDrBnn4MTAOPc9cpyfvnINN21fDRSXcB05H6etqZE17U2AN9N17EJ1LCkGuwALbQuxHDpbwlmL5uPTSRXMS90JGv1m1nEd7htjVWuEHv9rj4iUlxKuAq3ze3F95P8+y9BEgne8fHv6fLNsNUOLCQrmgx1423taOTU4URWHWM8d67PyEq6uaCRrW4j4dFJd5qXutPs/ZGTuVDx0boyd6zS7JbJclHAVaIPfi+urB86yt7eLvb3d6YRrcLyIGq5+ryVE4LKetqo5xDpYsluJCVcsGs65S1EF81Jvgh8ygoQrlXI8e25My4kiy0gJV4HWZ3Qu//WXXw4svCtuIfHpJGdHpti+Zi7hCpKvaiicDxKa5erDVYhYNJKegcsUn55VDZfUnWAZPTjA+vTQJBMzs1ypGS6RZaPvPAVqa2qkvbmRjbEWXr6zB/B2xbVGQgwU2LD0uN/+IXOGa1uP1xqiGo74GVrBNVyxaJiRyZl5Xfvj0wnam/VNRupLe1DD5c9wHeobBdCSosgy0gxXET70i7v58Bv3XPSNvKs1UvAM15F+b5fQ5Wta09famhpZ29E0b6diYjbFe794gKfPjC5h5KU1ODFDOGS0FnAm4nKJtYRJzDrGZy6uhRufnlXTU6k7bU3eLHSwS/GZc97Xniu0pCiybDTDVYRX7ZrfKHBVa6TgXYpHz48TajC2dLdedH17T9u85qdfO3CWB/edZFNXCy/csDL65gyPJ4hFIyvy3Megrmx4YuaiXYlxtYWQOpSu4ZoKZrjG2Nzdoh27IstIM1wlUswM19H+OFu7o0QaL74Nl/W0cqw/jnMO8I7/ufc7x4HsBzJXytDEDN0rsGAeoNOvK8ssnJ9JpphJpmhT0bzUmWg4hNnckuLhvjF2anZLZFkp4SqR7mgRM1z98fT5iZkuW93GaMYh1k+cGGL/6RGguG72Czlyfoxn/eWFQg0v48HVhZqb4Zr79zo95O387G5bmUmiSLk0NBhtkUbiU0mmk7McvzCu+i2RZaaEq0S6ClxSTM6meO7CBJevmZ9wBbsWg52K9/7ncWLRMFu6o1lbHSzF7/zTft73pYNFfezQCjy4OpBt5+jXD/YBcPPONRUZk0gltfrnKR7rHyeZcuxctzJKE0TqhRKuEulujTAxM8tUIr+GpaeGJpmZTbG9p3Xe+9KHWF8Y59TgBP/+dB9vuX4L6zqaSzrDlUo5DvWNcmFsuqiPH5pI0NW6Mme4goQrs9v8V/ef5cVbu9iQ0dpDpF60NTcSn06mj/TRkqLI8lLCVSKFdptPH1qdZYYrOMT66Pk49z3yHA1m3PGSXjpawiVNuE4OTjCVSBXVId85x/DEzIo7uDoQa/HGNeLHdqw/ztNnR3nt1fM3PIjUg7amRsamkhw+N0Y4ZFyW5Yc9ESkfJVwlEiyt5busmD60evX8hCs4xHr/6REeeuIUt+xez7rOZr+3VOkSrkP+T7rDkwlmU66gjx2bTpJMuRV5cDVApLGB1kgo3fz0awfOAvAaJVxSp9ozZri297QRDunLv8hy0hNXIukZrjyP9znaH2d1W1N6N92ltve0se+5QeLTSe5+2WWAfyBzCWu4gl48zhVejD88HnSZX5kzXOCNLfj3+sp+7yimdf7RTCL1pq3JK5o/3KcjfUQqQQlXiXT7tUwD4/nVQwWHVucSTPdf39vN1Zs6Aa+Z52RitmQHWwe1HFD4sUTB61dqWwgIzlOc4cj5MQ71jWk5UepaW1MjfaNTPD88qR2KIhWghKtEgiXFoTyWFJ1zPHNuLOsOxUDQAfrtL9uWvhbMhpVqWfFQ32i6S3w+4840d6zPylxSBD/hmkzw1f19mMGrlXBJHWtr9mq4AJ2hKFIBSrhKxOu4DoN5LPmdHZlibCq54Be9V+9ax3137uWVV61NX+ts8ZKb0RIkXFOJWZ4bmOC63m6ArAc9L2Tu4OqVPMPlNaP96oEz7O3tZm2HlhOlfrVndJXXkqLI8lPCVSKhBiPWEs5rpii9LXuBPjjhUAM3X7nmomNzgoSrFHVcR/vjzKYcL9m+CljCDNdKTrhawpwYmOCZc3Fu2a3ZLalvwfE+bU2NbOpSaxSR5aaEq4S6WiMM5lELdfhccX1wgtmkUiwpBgXzN17mJ1wF13AlMJtLAleirmiE2ZTDDF61a12lhyNSUcEB1jvWtq3I809Fat2iCZeZfdLMzpvZwYxrHzKzQ2a238z+2cxiGe97r5kdMbPDZvbKjOsvNrMD/vs+ajX4xHdHIwzG85vhWt/ZnHOHYi6lnOE61Of14rlqQweRUENeiWKmofEZOprDhBpW7m0Mmp/esK2bNe1aTpT6FsxwqWBepDLymeG6H3jVJde+Aexyzu0GngHeC2BmLwRuA67yP+bjZhbyP+ZvgXuAK/xfl37OqpfvAdaHityWHWspXdF8Zi+ertZwus1DvrxjfVbu7BbMzQi+dveGCo9EpPKCGi51mBepjEUTLufct4HBS679u3Mu6b/5GLDJ//MbgH90zk07544DR4DrzWw90OGce9Q554BPAbeWKoiVYlUe5ykmZ1McPR8vapdQRwkTrmf6xtJj6IrmtxSaaXgiQVfryq3fAtjb28XLd/bwOtVvibC5O0pjg6U3yojI8mpc/CWLejvwOf/PG/ESsMBp/1rC//Ol12tKMMPlnMtZI/HcwDgzs6mipvVDDUZ7c+OSE66RyQRnRqbYkZFwFVM0v9J3/W1d1cr9d11f6WGIrAiXr2nj4P94Jc3h0OIvFpGSW1LRvJm9D0gCnw0uZXmZW+B6rs97j5k9YWZP9Pf3L2WIy6o7GiEx64hPJ3O+JjhOp9ht2Z0lOE8xKJgPZri681wKzTQ8kUjXSIlIdVCyJVI5RSdcZvY24Bbgdn+ZELyZq80ZL9sEnPGvb8pyPSvn3Cecc9c5567r6ekpdojLLlhiW2hZ8XDfGKEGW7Dp6UKC7ulLcWlbilg0XHAfLq+Ga2UvKYqIiKwURSVcZvYq4D3A651zExnv+hfgNjNrMrNteMXx+5xzZ4ExM7vR3514B/DlJY59xQmO91ks4epdFS36J81SzHAd7hujvamRDf65gt2tEYYnZkjleYD1VGKWiZnZFV80LyIislLk0xbiQeBRYKeZnTazu4G/AdqBb5jZU2b2dwDOuR8BDwFPA/8HeKdzLjj47x3A/8YrpD8KfL3UwVRad2sTsHBPq8Pnxpa0LTvWEmG4BAnXjnXt6TqzWDRCysHoVH6ftxq6zIuIiKwkixbNO+fenOXyvQu8/gPAB7JcfwLYVdDoqkxwkPNgjhYLEzNJTg5O8PMv2pT1/fnoaAkv6Wgf5xyHz43x2oyde8HM3NBEIq8kqhq6zIuIiKwk6jRfQsFBzrl2/D17Lo5zS2s86NVwJZgrmyvMudFpRiYTF/XiiUUXrz3LVA0HV4uIiKwkSrhKqK2pkXDIGMiRuMwVqxefcHW2hEmmHBMzs4u/OItDfaPzxhDMzOVbjB8sKWqGS0REJD9KuErIzLwWCzkSrkN9YzSHG9jSHS367wi6zRdbx/VMlnMcu4qd4VLCJSIikhclXCW2UNf2Z855R/os5fzB4DzFkSLPUzzUN8aa9qaLusSnl0ILnOFSHy4REZH8KOEqscVmuIpteBoIDrweniyuF9fhvvm7JNuaGmlssLx7cQ2Nz9ASDqmJooiISJ6UcJVYV2v2Ga6B+DQX4tNFnaGYKZjhKmanYirlOHI+Pu/wWjPzjiXKe0kxoR5cIiIiBVDCVWLd0ewHWJeiYB7mdhQOF7GkODKZYDqZYkOsZd77uqP5H+8zNDGjHlwiIiIFUMJVYt2tEUYmEyRnUxddP5ylWL0Y6RquIma4BsanAVjVNj9ZikXDDOXoH3apoYkZuluVcImIiORLCVeJdbdGcG5+QnS4b4yuaJie9qYlff7WSIjGBitql+JA3JvBWtU6fwyFHGCtg6tFREQKo4SrxILdf5cmL4f8YvXgOJ1imVnR5ykG/cGyz3AVtqSolhAiIiL5U8JVYtmO90mlHM+eG1vycmKgM7rEhCvLcmB3a5ihPDrYnx2ZZHgiQe/q1oL/fhGSoY2EAAAVX0lEQVQRkXqlhKvEgp5Wg369FMDTZ0cZn5nlhRs6SvJ3dLaEi+rDNRCf9sc4P+HqikaYTTlGp5ILfo59xwcBuGFbd8F/v4iISL1SwlViQX1U5gzXZx8/SXO4gVddtT7XhxUkVuSS4uD4DLFomHBo/m0PlggXaw3x2LFB2psaecH60iSPIiIi9UAJV4kFxeRBPdTIZIIvPfk8r79mQ7pp6VJ1toSLanw6EM+9uzDfbvP7jg9wXW/Xkrrli4iI1BslXCXWHA7RGgmle3F98QenmUzM8tYbe0v2d8SikeKWFMenWZ1lhyJkzHAtkHBdiE9ztH+c67etKvjvFhERqWdKuMog6NrunOPTj51gz+YYV2/qLNnn72gJMzqVZDa1cIH7pRac4UovKeZO5NL1W5epfktERKQQSrjKoLs1wsD4DN89OsCx/nHeeuPWkn7+mN/8dGyqsFmuwfGZrC0hIHc7i0z7jg/SEg6xa0PpkkcREZF6oISrDIImop9+9ARd0TCv3V2aYvlA0G2+kON9ZlOOwYmZrC0hADqaGwk12IIJ12PHBrh2a4xIo/7biIiIFELfOcugOxrh+IVxvvHjc7xx72aaw6GSfv6gML+QnYpDEzM4B6vastdwmRld0fBFuyszDU/McPjcGDeofktERKRgjZUeQC3qao0wNpXEDH75htIuJ0LGDFcBCVdQxL/QGYhd0QjDOWa4nnhuCOfgevXfEhERKZhmuMogSGpu3rmGzd3Rkn/+Yma4LsRzH1wd6IpG0onZpR4/PkAk1MCezbECRioiIiKghKssVvtJTamL5QMd/gzXSJ5nH8LcDFe2g6sDXa3hnDVc+44PsmdzrOTLoyIiIvVAS4pl8Jqr19PUGOKndvSU5fMHS4qFzHANxHMfXB3oikb4wcTwvOvx6SQHz4zyjp/aXuBIRUREBJRwlUV7c5hbX7SxbJ+/qTFESzhU0C7FgfEZzOb6bWWT2T/MbK6T/PdPDDGbcuq/JSIiUiQtKVapWLSw8xQH4tN0RSMLHsnTFQ2TTDni0xcfYP34sQFCDca1W7qKHq+IiEg9U8JVpbzzFAvbpZirB1cgV7f5fccH2bWxk9YmTYiKiIgUQwlXlepsKXSGK/exPoHuLN3mpxKz/PD0MDeqHYSIiEjRlHBVqc6WMKOFJFzj06zO0fQ0EPNnuAYzEq5vPdNPYtZx42VqeCoiIlIsJVxVKhYNF1w0n+8MV2bz009+5zgbOpv5iStWFzdQERERUcJVrQpZUkzOphieSCzYEgK8onkgfbzPwedHePz4IG+7qZfGkP6riIiIFEvfRatUZ0uYycQs08nZRV8bLBEuVjTf0RymwWDIb5L6ye8cJxoJcdv1W5Y+YBERkTqmhKtKdfr1VvnMcs01PV24hquhwYhFIwxNzHB+dIp/3X+GN163Od1oVURERIqjhKtKpbvN51HHlc/B1YGuqHe8z6cfO0Ey5bjrpb1LGqeIiIio03zVihVwvE9wcPXqRWq4wOvFdXZkiseODfIzL1jL1lWtSxuoiIiIaIarWgUzXPnsVMzn4OpAV2uEJ08OMzg+w90v27a0QYqIiAighKtqxaL5z3ANxGcINVhetVjBTsWrNnRwg5qdioiIlIQSriqVnuHKJ+Ean6ErGqFhgXMUA11+ndfdL9t20QHWIiIiUjzVcFWp9uYwZvnOcE0v2hIi8NLtq3n2XJxbdm9Y6hBFRETEp4SrSoUajPamRkYyusLnMjg+s2jT08BP7ujhJ3f0LHV4IiIikkFLilUsFo3kN8OVx7E+IiIiUj5KuKrYqrYI50anF33dQHzxg6tFRESkfJRwVbGrNnRw8PkRUimX8zUzyRSjU0nNcImIiFSQEq4qds2mGGPTSY72x3O+Zig4RzHPGi4REREpPSVcVexFW2IAPHVqOOdrgi7z+e5SFBERkdJTwlXFLlvdRntz44IJV7rLvGq4REREKkYJVxVraDCu2RRbMOEaiOd/cLWIiIiUhxKuKrdnc4xDfWNMzsxmfX/64Oo8zlEUERGR8lDCVeWu2RxjNuU4eGYk6/sHx2dobDA6WtTjVkREpFKUcFW5PZu9wvkf5lhWHIh7TU91LqKIiEjlKOGqcj3tTWyMtfBkroRrfEYF8yIiIhWmhKsG7NkS46mTuRKu/A+uFhERkfJYNOEys0+a2XkzO5hxrdvMvmFmz/q/d2W8771mdsTMDpvZKzOuv9jMDvjv+6hpjatkXrQ5xvPDk/SPzT/mp5CDq0VERKQ88pnhuh941SXX/hvwsHPuCuBh/23M7IXAbcBV/sd83MxC/sf8LXAPcIX/69LPKUW6ZnPuBqhBDZeIiIhUzqIJl3Pu28DgJZffADzg//kB4NaM6//onJt2zh0HjgDXm9l6oMM596hzzgGfyvgYWaJdGzoJNRhPnRq66PpUYpb4dFIHV4uIiFRYsTVca51zZwH839f41zcCpzJed9q/ttH/86XXpQRaIiGuXNfOD09d3Boi6DKvGS4REZHKKnXRfLa6LLfA9eyfxOweM3vCzJ7o7+8v2eBq2Z7NMX54aphUau6fNX2sjxIuERGRiio24TrnLxPi/37ev34a2Jzxuk3AGf/6pizXs3LOfcI5d51z7rqenp4ih1hfrtkcY2w6ybELccBbTvzow88CsGVVtJJDExERqXvFJlz/ArzN//PbgC9nXL/NzJrMbBtecfw+f9lxzMxu9Hcn3pHxMVICL/IL5588OczYVIK77vse//70Of7gdS/kynUdFR6diIhIfVv0vBczexB4ObDazE4DfwD8GfCQmd0NnAR+CcA59yMzewh4GkgC73TOBYf8vQNvx2ML8HX/l5TI9p422psa+Y/D53ng0ec4dHaMj7xpD7e+SKVyIiIilbZowuWce3OOd70ix+s/AHwgy/UngF0FjU7y1tBg7N7cydcO9NEcbuDv77iOm69cs/gHioiISNmp03wN+ekr19LdGuEzd9+gZEtERGQFWXSGS6rH21/ay5039RJqUBN/ERGRlUQJVw0xM0LKtURERFYcLSmKiIiIlJkSLhEREZEyU8IlIiIiUmZKuERERETKTAmXiIiISJkp4RIREREpMyVcIiIiImWmhEtERESkzJRwiYiIiJSZEi4RERGRMlPCJSIiIlJmSrhEREREysycc5Uew4LMrB84UeJPuxq4UOLPWU0Uv+JX/PWrnuOv59hB8S9X/Fudcz2XXlzxCVc5mNkTzrnrKj2OSlH8il/xK/5Kj6MS6jl2UPyVjl9LiiIiIiJlpoRLREREpMzqNeH6RKUHUGGKv74p/vpWz/HXc+yg+Csaf13WcImIiIgsp3qd4RIRERFZNkq4RERERMpMCdcCzKyx0mOQytH9r2+6//VN97++leP+K+HKwcxeDdxjZqFKj6USzOxaM7vJzC6v9FgqQfdf9x/df91/3X/d/xJSBp+Fmb0K+CDwLufcbKXHs9zM7HXAnwMHgXEzG3HO/WaFh7VsdP91/9H91/3X/df9L/H91y7FS5jZHuDzwO855x40sxjQDaScc89VdHDLwJ9GfQj4jHPui2a2A/hTYNI599bKjq78dP91/9H91/3X/df9L8P915LifC3AAbzM/ia8f/y/Aj5kZn9S0ZEtA+dcEjgGzPpvPwP8CtBkZh+s5NiWSQTd/3q+/3r+6/v+6/mv7/tf1udfCZfPzDYCOOceBf4GeAtwL162fxvwIWCnme2u2CDLyMwiGW/+APg7M3uB//YI8MfAquDfqVY55/YBf0393f+WjDefAv62nu6/nn89/6Dn36fnv0z3XzVcgJm9DLjXzP4O+Ihz7mEzmwG2OOc+679sn5kZEK7YQMvEzN4AvM7M2oA/d879g//nB83szc65HwMHzGwtsBZ4vpLjLTUzuxFod859A8A5903//l/mnPuM/7Javv+vBd7kf9N9n3PuM2a2DvgH//4forbvv55/Pf96/vX8l/35V8LlGQLOAZuB95jZh5xz/2lm6RlAM7sV2Oq/rmaY2QuBjwG3Az8D/JqZPQN8BjDg/5nZbwEbgC1Af6XGWg5m9hrgs8BBM+t0zn0ewDn3XTN7PON1tXr/Xwv8CfCbeD/JfdTMXuec+wszmwX+o5bvv0/Pv55/Pf96/sv+/Nd9wuVnrVPAON5U6l7g7Wb2bWASOGlm7wTuAW53zp2u2GDLYzXwqHPuW8C3zNsO+9PAW5xzf2VmQ8CVwA7gl51zpyo41nL4Cbzp4ieAd5kZwRddIAVQq/ffzKJ4U+fvdc59y8zO4O3O+V0z+4p//08CV1Gj91/Pv55/9Pzr+V+m51+7FH1m9l7gn4FO4H3A1cAvOOd+YGb/BTjlT63WFDNrBb4GfMw595B/7TXALwJ/4Zx72r/W4JxLVW6k5eE/cJ1AArgFeCvwqeDfwn/NTwLna/T+dzjnRs2sC9gHfBmYALYB9zvnHvZfV5P3P6DnX88/ev71/Jf5+dcMl1nI77WxDdiE9+DtxSsc/QkzeypY2681fuzjZvYAcIOZDTjnHnbOfc3MbgZ+C/ivALX4sGV8ERn23/4a3jLKHWZ2FmgFnHPu3yo4zHKL+7+P4/0Etw/AzP4A75vPw1Cb9x/0/Ov51/Pv/67nfxme/7rdpZixPhvszrkX+GXg03jr2X+Jt6bbtfyjKw//pznMl9HU7SHgAvBqM7vdv/Y03tbYmum0nCX+lJk1Be93zo0BXwU+DHwK+BxwoiKDLYNL4/cvhwGcczPOuX0Z158DRq2GjjfJEb+efz3/gJ5/Pf/lf/7rKuEysx1mttHMevyHrRWvv8ZmYBSIAvc45z4HPAr8D+fcQCXHXGJr/d/DzjlnZh1m9nGgGXgQ+CHwTjP7EvCHwH2utjotXxp/O/BhM+sNHkD/i+4uIAS8pMaWEXLFvy14gX/9buBdwCf8vjy1Ilv8f6HnX8+/nn+Pnv/yPv91U8NlXrv+vwQewZsqfieQBLY6537kvyZYz26ssf9owdlQ78YrDp3B+2J6xMx2O+f2Z7yuGW/9+rRz7mxlRlt6C8R/tXPugP+akHNu1sz+Grg389+l2uUZfxPevf99vO3hByo24BLLM/5afv5vAd4P/AhvNute59wzdfT854q/Xp7/fOKv5ec/n/jL/vzXRcJlXgO3fwZ+FW+K+Lf9XzjnZjIetM2uxnZhAJjZlcC/AnfiZfJvxNuJdKdz7lnzaxnMbItz7mQFh1oWecRv/k889Xr/g/jXOufOmVm7/5N+Tcgj/lp//nvxanHejpdsvgx4E/A259yP6uD572Xh+Gv9+e8lv/hr9fnvZeH4l+35r5clxWbg287b+pwCbsXrJvtPZrbL/8e+HHi/mbVlrO/WihbgEefcI342/128oxvuNbNt/hfb7cD76jR+58f/fjNrr+P4/9jMWmvpi61vsfhnM+5/Lf7/HwEeds59yzn3qHPuQ3h9tu4zsyvq4PlfLP5af/7zif9yavf5Xyz+ZXv+62WGaxXeVOJXgJ/DOwn983iJ1xv8Xwmg0Tk3UqlxlouZrcZbSvm4c+6DZvanwHmgDTjmvM7S7UCD4lf8lRxrOSh+6wC+Dvybc+6P/GsGvAfvh9E/wvu3MMWv+Cs20DJZSfHX7AyXP40IgPMK367G66j8oHPug865Y8AngePeS9x4Lf1nuyT+C8DrgV8xs08D1+LN8J31/4xzbkzxK/7lH2l5KH67wczeZGavcM6N4nWSv828ruE47yftfcAG51zKOTeq+BV/JcdcSis1/ppMuMzs9cA3zezDwTXnXD9wENhuZr/tX34N8ELmtobWhBzx7wf2AL8OvNZ5RYEhIGQ1tPUXFL/ir/v4X423ZHI18Gkzu8s59xxeX6VfNbM/NK/dw2bgCn8GoGYofsXPSo3fOVdTv4B1wJPA7wEfxeuWnPn+3XjLCV8AfgxcVekxL1f8QMj/3fAKCI8AV1d6zIpf8Sv+ksW/A9gP3Oy//QrgGLDRf3sz8A3g7/F6bSn+FTBuxV8f8ddkDZeZXQucwusc+xvAoHPudzLe3+2/74Jz7kxlRlk+ecQfBn4Nb037mcqMsnwUv+KnTuM3s3XAtc7rFt/onEua2VeAX3XOPe+/pgVwQKurrT5jil/xr+j4ayrhMvO2t2a+jbeM8C68L7q/bWa7gTPOq+uoKXnGvws44WpvJ4riV/x1HX/AzGLOueGMt78C/L7zzoXbBRx3zo1XboTlpfgV/0qNv6ZquDK/2Ga8fRBvaSFkZo8BX6JGz5DMM/5/wWv8WnMUv+LP8nbdxB8Ivtlk1Ka1AUkzeyPeRqGmXB9bCxS/4oeVGX/VJ1xmttfMXpLr/c65hHPuSbwT0DcBb3DO9S3bAMtM8St+xa/4c7w7OJbnSbwt8O8E7nbODS7L4JaB4lf81RR/VSdcZnYr8AmgxV8+CK5n/rnBvKZmtwCvcbV1XIHiV/yKX/FnjT9jxq8Fb0f2PYpf8S/7QMukKuO/tIq+Wn4Ba4BvATf4bzfi16TleH1Xpces+BW/4lf8yxV/8DZwI96ZsRUft+JX/PUcfzXXMqXwzkV60sw2AR8EnJmdcM79d5iX6Q7n/EzVSfErfsWv+HPGj9f+wjnnHqvUIMtI8Sv+qou/mhOuYbx+Gy8F7gAeBb4DfMK87aDv9r/QAvMLamuA4lf8il/xLxR/qpIDLDPFr/irLv6qquEys8vN7Doza3Zep+hTwAfwD6J1XnHszwNXmVm0kmMtB8Wv+BW/4lf8il/xV2f8VTPDZWa3AH8KDADnzez9zrmPmHcw9S8BN5jZI8BL8I7qWXHZ7VIofsWP4lf8il/xK/6qjb8qGp+a2U14/TPe7Jx70sw+DrQ55+7w3/8eYCPQBVyBtxthf8UGXGKKX/Gj+BW/4lf8ir+q46+mhGuHc+5+/+0evLOQbnd+x1gzW433Dz7h/Bb+tULxK34Uv+JX/Pf7byt+xV+V8VfLkuLjeB2jMe+U7yZgKxAFxv0bMORq8Lgen+JX/Iofxa/4FT+Kv2rjr4qieefcrHNu1H/T8HYoDDrn+s3sduCP8NZta5LiV/yKX/H7byp+xa/4qzT+qlhSzMbM7gfOAj8L3Okq3UF2mSl+xY/iV/yKX/Er/qqJv+oSLjMzIAz82P/9Fc65Zys7quWj+BU/il/xK37Fr/irLv6qS7gCZnYn8D3n3I8qPZZKUPyKH8Wv+BW/4q9D1Rp/NSdc5qp18CWg+BW/4lf8lR5HpSh+xV+N8VdtwiUiIiJSLapil6KIiIhINVPCJSIiIlJmSrhEREREykwJl4iIiEiZKeESERERKTMlXCIiIiJl9v8BTGaj5kiqUAYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the timeseries\n",
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(10,6)\n",
    "ax.plot(timeseries.index, timeseries.values)\n",
    "plt.xticks(rotation=45)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Wordcloud <a class=\"anchor\" id=\"wordcloud\"></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Based on the tutorial provided here https://towardsdatascience.com/create-your-own-word-cloud-705798556574\n",
    "words = \"\"\n",
    "\n",
    "# Loop through the text tweet identifying words in lower case\n",
    "for i in en_tweets_df.tweet_text: \n",
    "    i = str(i) \n",
    "    separate = i.split() \n",
    "    for j in range(len(separate)): \n",
    "        separate[j] = separate[j].lower() \n",
    "      \n",
    "    words += \" \".join(separate)+\" \""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "stop_words = [\"i\", \"me\", \"my\", \"myself\", \"we\", \"our\", \"ours\", \"ourselves\", \"you\", \"your\", \"yours\", \"yourself\", \"yourselves\", \"he\", \"him\", \"his\", \"himself\", \"she\", \"her\", \"hers\", \"herself\", \"it\", \"its\", \"itself\", \"they\", \"them\", \"their\", \"theirs\", \"themselves\", \"what\", \"which\", \"who\", \"whom\", \"this\", \"that\", \"these\", \"those\", \"am\", \"is\", \"are\", \"was\", \"were\", \"be\", \"been\", \"being\", \"have\", \"has\", \"had\", \"having\", \"do\", \"does\", \"did\", \"doing\", \"a\", \"an\", \"the\", \"and\", \"but\", \"if\", \"or\", \"because\", \"as\", \"until\", \"while\", \"of\", \"at\", \"by\", \"for\", \"with\", \"about\", \"against\", \"between\", \"into\", \"through\", \"during\", \"before\", \"after\", \"above\", \"below\", \"to\", \"from\", \"up\", \"down\", \"in\", \"out\", \"on\", \"off\", \"over\", \"under\", \"again\", \"further\", \"then\", \"once\", \"here\", \"there\", \"when\", \"where\", \"why\", \"how\", \"all\", \"any\", \"both\", \"each\", \"few\", \"more\", \"most\", \"other\", \"some\", \"such\", \"no\", \"nor\", \"not\", \"only\", \"own\", \"same\", \"so\", \"than\", \"too\", \"very\", \"s\", \"t\", \"can\", \"will\", \"just\", \"don\", \"should\", \"now\"]\n",
    "stop_words += ['ucl', 'uclfinal', 'http', 'https', 'co', 'rt'] # additions after running the wordcloud\n",
    "\n",
    "final_wordcloud = WordCloud(width = 800, height = 800, \n",
    "                background_color ='black', \n",
    "                stopwords = stop_words, \n",
    "                min_font_size = 10).generate(words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "plt.figure(figsize = (10, 10), facecolor = None) \n",
    "plt.imshow(final_wordcloud) \n",
    "plt.axis(\"off\") \n",
    "plt.tight_layout(pad = 0) \n",
    "  \n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "environment": {
   "name": "common-cpu.m55",
   "type": "gcloud",
   "uri": "gcr.io/deeplearning-platform-release/base-cpu:m55"
  },
  "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": "3.7.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}