{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is this third in a series of notebooks designed to show you how to <i>analyze</i> social media data. For demonstration purposes we are looking at tweets sent by CSR-related Twitter accounts -- accounts related to ethics, equality, the environment, etc. -- of Fortune 200 firms in 2013. We assume you have already downloaded the data and have completed the steps taken in <a href=\"http://nbviewer.ipython.org/github/gdsaxton/PANDAS/blob/master/Chapter%201%20-%20Import%20Data%2C%20Select%20Cases%20and%20Variables%2C%20Save%20DataFrame.ipynb\" target=\"_blank\">Chapter 1</a> and  <a href=\"http://nbviewer.ipython.org/github/gdsaxton/PANDAS/blob/master/Chapter%202%20-%20Aggregating%20and%20Analyzing%20Data%20by%20Twitter%20Account.ipynb\" target=\"_blank\">Chapter 2</a>. In this third notebook I will show you how to conduct various <i>temporal</i> analyses of the Twitter data. Essentially, we will be taking the tweet-level data and aggregating to the account level."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chapter 3: Analyze Twitter Data by Time Period"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, we will import several necessary Python packages and set some options for viewing the data. As with <a href=\"http://nbviewer.ipython.org/github/gdsaxton/PANDAS/blob/master/Chapter%201%20-%20Import%20Data%2C%20Select%20Cases%20and%20Variables%2C%20Save%20DataFrame.ipynb\" target=\"_blank\">Chapter 1</a> and  <a href=\"http://nbviewer.ipython.org/github/gdsaxton/PANDAS/blob/master/Chapter%202%20-%20Aggregating%20and%20Analyzing%20Data%20by%20Twitter%20Account.ipynb\" target=\"_blank\">Chapter 2</a>, we will be using the <a href=\"http://pandas.pydata.org/\">Python Data Analysis Library,</a> or <i>PANDAS</i>, extensively for our data manipulations."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import packages and set viewing options"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from pandas import DataFrame\n",
    "from pandas import Series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#Set PANDAS to show all columns in DataFrame\n",
    "pd.set_option('display.max_columns', None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I'm using version 0.16.2 of PANDAS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.16.2'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We'll use the <i>calendar</i> package for one of our temporal manipulations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import calendar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Import graphing packages"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We'll be producing some figures at the end of this tutorial so we need to import various graphing capabilities. The default Matplotlib library is solid. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.4.3\n"
     ]
    }
   ],
   "source": [
    "import matplotlib\n",
    "print matplotlib.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#NECESSARY FOR XTICKS OPTION, ETC.\n",
    "from pylab import*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One of the great innovations of ipython notebook is the ability to see output and graphics \"inline,\" that is, on the same page and immediately below each line of code. To enable this feature for graphics we run the following line."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will be using <i>Seaborn</i> to help pretty up the default Matplotlib graphics. Seaborn does not come installed with Anaconda Python so you will have to open up a terminal and run <i>pip install seaborn</i>."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6.0\n"
     ]
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "print sns.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>The following line will set the default plots to be bigger."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "plt.rcParams['figure.figsize'] = (15, 5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>Version 1.4 of matplotlib enables specific plotting styles. Let's check which ones are already imported so we can play around with them later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib as mpl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'dark_background', u'bmh', u'grayscale', u'ggplot', u'fivethirtyeight']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mpl.style.available"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read in data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In <a href=\"http://nbviewer.ipython.org/github/gdsaxton/PANDAS/blob/master/Chapter%201%20-%20Import%20Data%2C%20Select%20Cases%20and%20Variables%2C%20Save%20DataFrame.ipynb\" target=\"_blank\">Chapter 1</a> we deleted tweets from one unneeded Twitter account and also omitted several unnecessary columns (variables). We then saved, or \"pickled,\" the updated dataframe. Let's now open this saved file. As we can see in the operations below this dataframe contains 54 variables for 32,330 tweets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "32330\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rowid</th>\n",
       "      <th>query</th>\n",
       "      <th>tweet_id_str</th>\n",
       "      <th>inserted_date</th>\n",
       "      <th>language</th>\n",
       "      <th>coordinates</th>\n",
       "      <th>retweeted_status</th>\n",
       "      <th>created_at</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>content</th>\n",
       "      <th>from_user_screen_name</th>\n",
       "      <th>from_user_id</th>\n",
       "      <th>from_user_followers_count</th>\n",
       "      <th>from_user_friends_count</th>\n",
       "      <th>from_user_listed_count</th>\n",
       "      <th>from_user_favourites_count</th>\n",
       "      <th>from_user_statuses_count</th>\n",
       "      <th>from_user_description</th>\n",
       "      <th>from_user_location</th>\n",
       "      <th>from_user_created_at</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>entities_urls</th>\n",
       "      <th>entities_urls_count</th>\n",
       "      <th>entities_hashtags</th>\n",
       "      <th>entities_hashtags_count</th>\n",
       "      <th>entities_mentions</th>\n",
       "      <th>entities_mentions_count</th>\n",
       "      <th>in_reply_to_screen_name</th>\n",
       "      <th>in_reply_to_status_id</th>\n",
       "      <th>source</th>\n",
       "      <th>entities_expanded_urls</th>\n",
       "      <th>entities_media_count</th>\n",
       "      <th>media_expanded_url</th>\n",
       "      <th>media_url</th>\n",
       "      <th>media_type</th>\n",
       "      <th>video_link</th>\n",
       "      <th>photo_link</th>\n",
       "      <th>twitpic</th>\n",
       "      <th>num_characters</th>\n",
       "      <th>num_words</th>\n",
       "      <th>retweeted_user</th>\n",
       "      <th>retweeted_user_description</th>\n",
       "      <th>retweeted_user_screen_name</th>\n",
       "      <th>retweeted_user_followers_count</th>\n",
       "      <th>retweeted_user_listed_count</th>\n",
       "      <th>retweeted_user_statuses_count</th>\n",
       "      <th>retweeted_user_location</th>\n",
       "      <th>retweeted_tweet_created_at</th>\n",
       "      <th>Fortune_2012_rank</th>\n",
       "      <th>Company</th>\n",
       "      <th>CSR_sustainability</th>\n",
       "      <th>specific_project_initiative_area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>67340</td>\n",
       "      <td>humanavitality</td>\n",
       "      <td>306897327585652736</td>\n",
       "      <td>2014-03-09 13:46:50.222857</td>\n",
       "      <td>en</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013-02-27 22:43:19.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>2013</td>\n",
       "      <td>@louloushive (Tweet 2) We encourage other empl...</td>\n",
       "      <td>humanavitality</td>\n",
       "      <td>274041023</td>\n",
       "      <td>2859</td>\n",
       "      <td>440</td>\n",
       "      <td>38</td>\n",
       "      <td>25</td>\n",
       "      <td>1766</td>\n",
       "      <td>This is the official Twitter account for Human...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tue Mar 29 16:23:02 +0000 2011</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>louloushive</td>\n",
       "      <td>1</td>\n",
       "      <td>louloushive</td>\n",
       "      <td>3.062183e+17</td>\n",
       "      <td>web</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>121</td>\n",
       "      <td>19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>79</td>\n",
       "      <td>Humana</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>39454</td>\n",
       "      <td>FundacionPfizer</td>\n",
       "      <td>308616393706844160</td>\n",
       "      <td>2014-03-09 13:38:20.679967</td>\n",
       "      <td>es</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2013-03-04 16:34:17.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>2013</td>\n",
       "      <td>¿Sabes por qué la #vacuna contra la #neumonía ...</td>\n",
       "      <td>FundacionPfizer</td>\n",
       "      <td>188384056</td>\n",
       "      <td>2464</td>\n",
       "      <td>597</td>\n",
       "      <td>50</td>\n",
       "      <td>11</td>\n",
       "      <td>2400</td>\n",
       "      <td>Noticias sobre Responsabilidad Social y Fundac...</td>\n",
       "      <td>México</td>\n",
       "      <td>Wed Sep 08 16:14:11 +0000 2010</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>vacuna, neumonía</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>web</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>138</td>\n",
       "      <td>20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40</td>\n",
       "      <td>Pfizer</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   rowid            query        tweet_id_str               inserted_date  \\\n",
       "0  67340   humanavitality  306897327585652736  2014-03-09 13:46:50.222857   \n",
       "1  39454  FundacionPfizer  308616393706844160  2014-03-09 13:38:20.679967   \n",
       "\n",
       "  language coordinates retweeted_status                  created_at  month  \\\n",
       "0       en         NaN              NaN  2013-02-27 22:43:19.000000      2   \n",
       "1       es         NaN              NaN  2013-03-04 16:34:17.000000      3   \n",
       "\n",
       "   year                                            content  \\\n",
       "0  2013  @louloushive (Tweet 2) We encourage other empl...   \n",
       "1  2013  ¿Sabes por qué la #vacuna contra la #neumonía ...   \n",
       "\n",
       "  from_user_screen_name  from_user_id  from_user_followers_count  \\\n",
       "0        humanavitality     274041023                       2859   \n",
       "1       FundacionPfizer     188384056                       2464   \n",
       "\n",
       "   from_user_friends_count  from_user_listed_count  \\\n",
       "0                      440                      38   \n",
       "1                      597                      50   \n",
       "\n",
       "   from_user_favourites_count  from_user_statuses_count  \\\n",
       "0                          25                      1766   \n",
       "1                          11                      2400   \n",
       "\n",
       "                               from_user_description from_user_location  \\\n",
       "0  This is the official Twitter account for Human...                NaN   \n",
       "1  Noticias sobre Responsabilidad Social y Fundac...             México   \n",
       "\n",
       "             from_user_created_at  retweet_count  favorite_count  \\\n",
       "0  Tue Mar 29 16:23:02 +0000 2011              0               0   \n",
       "1  Wed Sep 08 16:14:11 +0000 2010              1               0   \n",
       "\n",
       "  entities_urls  entities_urls_count entities_hashtags  \\\n",
       "0           NaN                    0               NaN   \n",
       "1           NaN                    0  vacuna, neumonía   \n",
       "\n",
       "   entities_hashtags_count entities_mentions  entities_mentions_count  \\\n",
       "0                        0       louloushive                        1   \n",
       "1                        2               NaN                        0   \n",
       "\n",
       "  in_reply_to_screen_name  in_reply_to_status_id source  \\\n",
       "0             louloushive           3.062183e+17    web   \n",
       "1                     NaN                    NaN    web   \n",
       "\n",
       "  entities_expanded_urls  entities_media_count media_expanded_url media_url  \\\n",
       "0                    NaN                   NaN                NaN       NaN   \n",
       "1                    NaN                   NaN                NaN       NaN   \n",
       "\n",
       "  media_type  video_link  photo_link  twitpic  num_characters  num_words  \\\n",
       "0        NaN           0           0        0             121         19   \n",
       "1        NaN           0           0        0             138         20   \n",
       "\n",
       "   retweeted_user retweeted_user_description retweeted_user_screen_name  \\\n",
       "0             NaN                        NaN                        NaN   \n",
       "1             NaN                        NaN                        NaN   \n",
       "\n",
       "   retweeted_user_followers_count  retweeted_user_listed_count  \\\n",
       "0                             NaN                          NaN   \n",
       "1                             NaN                          NaN   \n",
       "\n",
       "   retweeted_user_statuses_count retweeted_user_location  \\\n",
       "0                            NaN                     NaN   \n",
       "1                            NaN                     NaN   \n",
       "\n",
       "  retweeted_tweet_created_at  Fortune_2012_rank Company  CSR_sustainability  \\\n",
       "0                        NaN                 79  Humana                   0   \n",
       "1                        NaN                 40  Pfizer                   0   \n",
       "\n",
       "   specific_project_initiative_area  \n",
       "0                                 1  \n",
       "1                                 1  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_pickle('CSR tweets - 2013 by 41 accounts.pkl')\n",
    "print len(df)\n",
    "df.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "\n",
    "List all the columns in the DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'rowid', u'query', u'tweet_id_str', u'inserted_date', u'language',\n",
       "       u'coordinates', u'retweeted_status', u'created_at', u'month', u'year',\n",
       "       u'content', u'from_user_screen_name', u'from_user_id',\n",
       "       u'from_user_followers_count', u'from_user_friends_count',\n",
       "       u'from_user_listed_count', u'from_user_favourites_count',\n",
       "       u'from_user_statuses_count', u'from_user_description',\n",
       "       u'from_user_location', u'from_user_created_at', u'retweet_count',\n",
       "       u'favorite_count', u'entities_urls', u'entities_urls_count',\n",
       "       u'entities_hashtags', u'entities_hashtags_count', u'entities_mentions',\n",
       "       u'entities_mentions_count', u'in_reply_to_screen_name',\n",
       "       u'in_reply_to_status_id', u'source', u'entities_expanded_urls',\n",
       "       u'entities_media_count', u'media_expanded_url', u'media_url',\n",
       "       u'media_type', u'video_link', u'photo_link', u'twitpic',\n",
       "       u'num_characters', u'num_words', u'retweeted_user',\n",
       "       u'retweeted_user_description', u'retweeted_user_screen_name',\n",
       "       u'retweeted_user_followers_count', u'retweeted_user_listed_count',\n",
       "       u'retweeted_user_statuses_count', u'retweeted_user_location',\n",
       "       u'retweeted_tweet_created_at', u'Fortune_2012_rank', u'Company',\n",
       "       u'CSR_sustainability', u'specific_project_initiative_area'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>Refresher: We can use the <i>len</i> function again here to see how many columns there are in the dataframe: 54."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "54"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>And we can see what types of variable each column is -- an integer (int64), a numerical float variable (float), or a text variable (object)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "rowid                                 int64\n",
       "query                                object\n",
       "tweet_id_str                          int64\n",
       "inserted_date                        object\n",
       "language                             object\n",
       "coordinates                          object\n",
       "retweeted_status                     object\n",
       "created_at                           object\n",
       "month                                 int64\n",
       "year                                  int64\n",
       "content                              object\n",
       "from_user_screen_name                object\n",
       "from_user_id                          int64\n",
       "from_user_followers_count             int64\n",
       "from_user_friends_count               int64\n",
       "from_user_listed_count                int64\n",
       "from_user_favourites_count            int64\n",
       "from_user_statuses_count              int64\n",
       "from_user_description                object\n",
       "from_user_location                   object\n",
       "from_user_created_at                 object\n",
       "retweet_count                         int64\n",
       "favorite_count                        int64\n",
       "entities_urls                        object\n",
       "entities_urls_count                   int64\n",
       "entities_hashtags                    object\n",
       "entities_hashtags_count               int64\n",
       "entities_mentions                    object\n",
       "entities_mentions_count               int64\n",
       "in_reply_to_screen_name              object\n",
       "in_reply_to_status_id               float64\n",
       "source                               object\n",
       "entities_expanded_urls               object\n",
       "entities_media_count                float64\n",
       "media_expanded_url                   object\n",
       "media_url                            object\n",
       "media_type                           object\n",
       "video_link                            int64\n",
       "photo_link                            int64\n",
       "twitpic                               int64\n",
       "num_characters                        int64\n",
       "num_words                             int64\n",
       "retweeted_user                      float64\n",
       "retweeted_user_description           object\n",
       "retweeted_user_screen_name           object\n",
       "retweeted_user_followers_count      float64\n",
       "retweeted_user_listed_count         float64\n",
       "retweeted_user_statuses_count       float64\n",
       "retweeted_user_location              object\n",
       "retweeted_tweet_created_at           object\n",
       "Fortune_2012_rank                     int64\n",
       "Company                              object\n",
       "CSR_sustainability                    int64\n",
       "specific_project_initiative_area      int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Convert created_at to time variable"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To work with time, we first have to have a variable in our dataframe that indicates time. We will use the <i>created_at</i> column, which represents the time at which the tweet was created. In the following line we will convert this variable from text format to python's <i>datetime</i> format."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "rowid                int64\n",
       "query               object\n",
       "tweet_id_str         int64\n",
       "inserted_date       object\n",
       "language            object\n",
       "coordinates         object\n",
       "retweeted_status    object\n",
       "created_at          object\n",
       "dtype: object"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes[:8]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df['created_at'] = pd.to_datetime(df['created_at'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>Let's take another look at the column types. This time we'll just look at the first 8 columns, using python's splicing capabilities (the '[:8]' command tells us we want to return up to the 8th column; this is a useful tool for other applications as well). We see that the <i>created_at</i> column is now a datetime64 object. We now will now be able to manipulate the data -- sorting, indexing, aggregating, and the like -- based on time.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "rowid                        int64\n",
       "query                       object\n",
       "tweet_id_str                 int64\n",
       "inserted_date               object\n",
       "language                    object\n",
       "coordinates                 object\n",
       "retweeted_status            object\n",
       "created_at          datetime64[ns]\n",
       "dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes[:8]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set the Index "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One thing you'll have to frequently do in PANDAS is set an <i>index</i> to your dataframe. For the non-programmer this can be a bit difficult to wrap your head around. You might think of the index as a tool for organizing or categorizing your data. For instance, will you organize your data alphabetically, by organization, by time, by location, or by whether it includes a photo? Each of these would require a different index variable. What we are going to do here is set the index to be our <i>created_at</i> variable. This will allow us to manipulate the data by time. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rowid</th>\n",
       "      <th>query</th>\n",
       "      <th>tweet_id_str</th>\n",
       "      <th>inserted_date</th>\n",
       "      <th>language</th>\n",
       "      <th>coordinates</th>\n",
       "      <th>retweeted_status</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>content</th>\n",
       "      <th>from_user_screen_name</th>\n",
       "      <th>from_user_id</th>\n",
       "      <th>from_user_followers_count</th>\n",
       "      <th>from_user_friends_count</th>\n",
       "      <th>from_user_listed_count</th>\n",
       "      <th>from_user_favourites_count</th>\n",
       "      <th>from_user_statuses_count</th>\n",
       "      <th>from_user_description</th>\n",
       "      <th>from_user_location</th>\n",
       "      <th>from_user_created_at</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>entities_urls</th>\n",
       "      <th>entities_urls_count</th>\n",
       "      <th>entities_hashtags</th>\n",
       "      <th>entities_hashtags_count</th>\n",
       "      <th>entities_mentions</th>\n",
       "      <th>entities_mentions_count</th>\n",
       "      <th>in_reply_to_screen_name</th>\n",
       "      <th>in_reply_to_status_id</th>\n",
       "      <th>source</th>\n",
       "      <th>entities_expanded_urls</th>\n",
       "      <th>entities_media_count</th>\n",
       "      <th>media_expanded_url</th>\n",
       "      <th>media_url</th>\n",
       "      <th>media_type</th>\n",
       "      <th>video_link</th>\n",
       "      <th>photo_link</th>\n",
       "      <th>twitpic</th>\n",
       "      <th>num_characters</th>\n",
       "      <th>num_words</th>\n",
       "      <th>retweeted_user</th>\n",
       "      <th>retweeted_user_description</th>\n",
       "      <th>retweeted_user_screen_name</th>\n",
       "      <th>retweeted_user_followers_count</th>\n",
       "      <th>retweeted_user_listed_count</th>\n",
       "      <th>retweeted_user_statuses_count</th>\n",
       "      <th>retweeted_user_location</th>\n",
       "      <th>retweeted_tweet_created_at</th>\n",
       "      <th>Fortune_2012_rank</th>\n",
       "      <th>Company</th>\n",
       "      <th>CSR_sustainability</th>\n",
       "      <th>specific_project_initiative_area</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>created_at</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013-02-27 22:43:19</th>\n",
       "      <td>67340</td>\n",
       "      <td>humanavitality</td>\n",
       "      <td>306897327585652736</td>\n",
       "      <td>2014-03-09 13:46:50.222857</td>\n",
       "      <td>en</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>2013</td>\n",
       "      <td>@louloushive (Tweet 2) We encourage other empl...</td>\n",
       "      <td>humanavitality</td>\n",
       "      <td>274041023</td>\n",
       "      <td>2859</td>\n",
       "      <td>440</td>\n",
       "      <td>38</td>\n",
       "      <td>25</td>\n",
       "      <td>1766</td>\n",
       "      <td>This is the official Twitter account for Human...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tue Mar 29 16:23:02 +0000 2011</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>louloushive</td>\n",
       "      <td>1</td>\n",
       "      <td>louloushive</td>\n",
       "      <td>3.062183e+17</td>\n",
       "      <td>web</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>121</td>\n",
       "      <td>19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>79</td>\n",
       "      <td>Humana</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-03-04 16:34:17</th>\n",
       "      <td>39454</td>\n",
       "      <td>FundacionPfizer</td>\n",
       "      <td>308616393706844160</td>\n",
       "      <td>2014-03-09 13:38:20.679967</td>\n",
       "      <td>es</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>2013</td>\n",
       "      <td>¿Sabes por qué la #vacuna contra la #neumonía ...</td>\n",
       "      <td>FundacionPfizer</td>\n",
       "      <td>188384056</td>\n",
       "      <td>2464</td>\n",
       "      <td>597</td>\n",
       "      <td>50</td>\n",
       "      <td>11</td>\n",
       "      <td>2400</td>\n",
       "      <td>Noticias sobre Responsabilidad Social y Fundac...</td>\n",
       "      <td>México</td>\n",
       "      <td>Wed Sep 08 16:14:11 +0000 2010</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>vacuna, neumonía</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>web</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>138</td>\n",
       "      <td>20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40</td>\n",
       "      <td>Pfizer</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     rowid            query        tweet_id_str  \\\n",
       "created_at                                                        \n",
       "2013-02-27 22:43:19  67340   humanavitality  306897327585652736   \n",
       "2013-03-04 16:34:17  39454  FundacionPfizer  308616393706844160   \n",
       "\n",
       "                                  inserted_date language coordinates  \\\n",
       "created_at                                                             \n",
       "2013-02-27 22:43:19  2014-03-09 13:46:50.222857       en         NaN   \n",
       "2013-03-04 16:34:17  2014-03-09 13:38:20.679967       es         NaN   \n",
       "\n",
       "                    retweeted_status  month  year  \\\n",
       "created_at                                          \n",
       "2013-02-27 22:43:19              NaN      2  2013   \n",
       "2013-03-04 16:34:17              NaN      3  2013   \n",
       "\n",
       "                                                               content  \\\n",
       "created_at                                                               \n",
       "2013-02-27 22:43:19  @louloushive (Tweet 2) We encourage other empl...   \n",
       "2013-03-04 16:34:17  ¿Sabes por qué la #vacuna contra la #neumonía ...   \n",
       "\n",
       "                    from_user_screen_name  from_user_id  \\\n",
       "created_at                                                \n",
       "2013-02-27 22:43:19        humanavitality     274041023   \n",
       "2013-03-04 16:34:17       FundacionPfizer     188384056   \n",
       "\n",
       "                     from_user_followers_count  from_user_friends_count  \\\n",
       "created_at                                                                \n",
       "2013-02-27 22:43:19                       2859                      440   \n",
       "2013-03-04 16:34:17                       2464                      597   \n",
       "\n",
       "                     from_user_listed_count  from_user_favourites_count  \\\n",
       "created_at                                                                \n",
       "2013-02-27 22:43:19                      38                          25   \n",
       "2013-03-04 16:34:17                      50                          11   \n",
       "\n",
       "                     from_user_statuses_count  \\\n",
       "created_at                                      \n",
       "2013-02-27 22:43:19                      1766   \n",
       "2013-03-04 16:34:17                      2400   \n",
       "\n",
       "                                                 from_user_description  \\\n",
       "created_at                                                               \n",
       "2013-02-27 22:43:19  This is the official Twitter account for Human...   \n",
       "2013-03-04 16:34:17  Noticias sobre Responsabilidad Social y Fundac...   \n",
       "\n",
       "                    from_user_location            from_user_created_at  \\\n",
       "created_at                                                               \n",
       "2013-02-27 22:43:19                NaN  Tue Mar 29 16:23:02 +0000 2011   \n",
       "2013-03-04 16:34:17             México  Wed Sep 08 16:14:11 +0000 2010   \n",
       "\n",
       "                     retweet_count  favorite_count entities_urls  \\\n",
       "created_at                                                         \n",
       "2013-02-27 22:43:19              0               0           NaN   \n",
       "2013-03-04 16:34:17              1               0           NaN   \n",
       "\n",
       "                     entities_urls_count entities_hashtags  \\\n",
       "created_at                                                   \n",
       "2013-02-27 22:43:19                    0               NaN   \n",
       "2013-03-04 16:34:17                    0  vacuna, neumonía   \n",
       "\n",
       "                     entities_hashtags_count entities_mentions  \\\n",
       "created_at                                                       \n",
       "2013-02-27 22:43:19                        0       louloushive   \n",
       "2013-03-04 16:34:17                        2               NaN   \n",
       "\n",
       "                     entities_mentions_count in_reply_to_screen_name  \\\n",
       "created_at                                                             \n",
       "2013-02-27 22:43:19                        1             louloushive   \n",
       "2013-03-04 16:34:17                        0                     NaN   \n",
       "\n",
       "                     in_reply_to_status_id source entities_expanded_urls  \\\n",
       "created_at                                                                 \n",
       "2013-02-27 22:43:19           3.062183e+17    web                    NaN   \n",
       "2013-03-04 16:34:17                    NaN    web                    NaN   \n",
       "\n",
       "                     entities_media_count media_expanded_url media_url  \\\n",
       "created_at                                                               \n",
       "2013-02-27 22:43:19                   NaN                NaN       NaN   \n",
       "2013-03-04 16:34:17                   NaN                NaN       NaN   \n",
       "\n",
       "                    media_type  video_link  photo_link  twitpic  \\\n",
       "created_at                                                        \n",
       "2013-02-27 22:43:19        NaN           0           0        0   \n",
       "2013-03-04 16:34:17        NaN           0           0        0   \n",
       "\n",
       "                     num_characters  num_words  retweeted_user  \\\n",
       "created_at                                                       \n",
       "2013-02-27 22:43:19             121         19             NaN   \n",
       "2013-03-04 16:34:17             138         20             NaN   \n",
       "\n",
       "                    retweeted_user_description retweeted_user_screen_name  \\\n",
       "created_at                                                                  \n",
       "2013-02-27 22:43:19                        NaN                        NaN   \n",
       "2013-03-04 16:34:17                        NaN                        NaN   \n",
       "\n",
       "                     retweeted_user_followers_count  \\\n",
       "created_at                                            \n",
       "2013-02-27 22:43:19                             NaN   \n",
       "2013-03-04 16:34:17                             NaN   \n",
       "\n",
       "                     retweeted_user_listed_count  \\\n",
       "created_at                                         \n",
       "2013-02-27 22:43:19                          NaN   \n",
       "2013-03-04 16:34:17                          NaN   \n",
       "\n",
       "                     retweeted_user_statuses_count retweeted_user_location  \\\n",
       "created_at                                                                   \n",
       "2013-02-27 22:43:19                            NaN                     NaN   \n",
       "2013-03-04 16:34:17                            NaN                     NaN   \n",
       "\n",
       "                    retweeted_tweet_created_at  Fortune_2012_rank Company  \\\n",
       "created_at                                                                  \n",
       "2013-02-27 22:43:19                        NaN                 79  Humana   \n",
       "2013-03-04 16:34:17                        NaN                 40  Pfizer   \n",
       "\n",
       "                     CSR_sustainability  specific_project_initiative_area  \n",
       "created_at                                                                 \n",
       "2013-02-27 22:43:19                   0                                 1  \n",
       "2013-03-04 16:34:17                   0                                 1  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.set_index(['created_at'])\n",
    "df.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>Look at the far-left column in bold above. That's our index column, and it's no longer 0,1,2 but rather our <i>created_at</i> variable. We have effectively told PANDAS that each row (i.e., each tweet) is ready to be indexed according to the values of the <i>created_at</i> column, which, as we did earlier, is a <i>datetime</i> variable. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generate and Plot Number of Tweets over Different Time Periods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Recall that in  <a href=\"http://nbviewer.ipython.org/github/gdsaxton/PANDAS/blob/master/Chapter%202%20-%20Aggregating%20and%20Analyzing%20Data%20by%20Twitter%20Account.ipynb\" target=\"_blank\">Chapter 2</a> we took our tweet-level dataframe and converted it to an account-level dataframe by aggregating the tweets based on the account variable. We did this by first writing an aggregation function and second by applying that function with a <i>groupby</i> command. We're going to do something similar here except that we'll be aggregating by time; differently put, we will be \"collapsing\" the data by time rather than by Twitter account.\n",
    "\n",
    "As in the last chapter, our first step is to create a function to spell out which variables (columns) from our dataframe that we wish to keep and/or aggregate. Specifically, the following function is first designed to produce a variable called <i>Number_of_tweets</i> that is a <i>count</i> of the number of tweets sent; we are basing this on the \"content\" column but we could have chosen others. This is the same function written in Chapter 2, except that we don't need the second and third variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def f(x):\n",
    "     return Series(dict(Number_of_tweets = x['content'].count(), \n",
    "                        ))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Generate and Plot Daily Counts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, let's analyze the data by day of the year. To do this, we need to convert our tweet-level dataset -- a dataset where each row is dedicated to one of the 32,330 tweets -- to a daily dataset. This process is called <i>aggregation</i> and the output will be a new dataframe with 365 rows -- one per day.\n",
    "\n",
    "In the following block of code we will now <i>apply</i> the above function to our dataframe. Note the <i>groupby</i> command again -- same as in Chapter 2. This is how we aggregate the data. We are asking PANDAS to create a new dataframe, called <i>daily_count</i>, and asking that this new dataframe be based on aggregating our original dataframe by the <i>index</i> column, applying the function <i>f</i> we wrote above. In other words, we are going to our original dataframe of 32,330 tweets, and aggregating or collapsing that data based on the day of the year it was sent. We are thus converting our tweet-level dataset with 32,330 rows into a daily dataset with 365 rows. As you can see in the output, there are 365 observations in this new dataframe -- one per day. \n",
    "\n",
    "Notice also that we are accessing the \"date\" element of our index variable (see <i>index.date</i>). Here you'll start to see the power of the Python's <i>datetime</i> variables -- by specifying \".date\", we are telling PANDAS we want to access only the particular day/month/year combination indicated included in the <i>created_at</i> column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "365\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Number_of_tweets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013-01-01</th>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-02</th>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-03</th>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-04</th>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-05</th>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Number_of_tweets\n",
       "2013-01-01                24\n",
       "2013-01-02                71\n",
       "2013-01-03                92\n",
       "2013-01-04                94\n",
       "2013-01-05                38"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily_count = df.groupby(df.index.date).apply(f)\n",
    "print len(daily_count)\n",
    "daily_count.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>You'll see above that the index column (in bold) is the date. Let's give a name to this index and then inspect the first five rows in the dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Number_of_tweets</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013-01-01</th>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-02</th>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-03</th>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-04</th>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-05</th>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Number_of_tweets\n",
       "date                        \n",
       "2013-01-01                24\n",
       "2013-01-02                71\n",
       "2013-01-03                92\n",
       "2013-01-04                94\n",
       "2013-01-05                38"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily_count.index.name = 'date'\n",
    "daily_count.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>It's always good to inspect your data to do that it worked as expected. We already know there are 365 rows, which is a good sign. Let's now look at the last five rows of the dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Number_of_tweets</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013-12-27</th>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-12-28</th>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-12-29</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-12-30</th>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-12-31</th>\n",
       "      <td>234</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Number_of_tweets\n",
       "date                        \n",
       "2013-12-27                35\n",
       "2013-12-28                13\n",
       "2013-12-29                 8\n",
       "2013-12-30                25\n",
       "2013-12-31               234"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily_count.tail(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<rb>OK, that's exactly what we were expecting, too. Let's run two more lines of code to see what the minimum and maximum daily values are in the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.date(2013, 1, 1)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily_count.index.min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.date(2013, 12, 31)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily_count.index.max()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>Perfect. We're all set. Now let's plot it. If you recall from Chapter 2, we are using iPython's built-in graphics package <i>matplotlib</i>, and making the plots prettier by applying the <i>Seaborn</i> package's tweaks to matplotlib. PANDAS makes it easy to produce fine plots of your data, thought typically the default graphs have a few things we'd like to tweak. Learning the ins and outs of all the possible modifications takes time, so don't worry about learning them all now. Instead, I'd recommend using the following examples as a template for your own data and then learning new options as you need them.\n",
    "\n",
    "In the code block below I modify the transparency of the graph (using \"alpha\"), change the font size and the rotation of the x-axis ticks labels, add/change the y-axis and x-axis headings, make them bold, and add some extra spacing. I then save the output as a .png file that you can then insert into your Word or LaTeX file. I have left the title out of these figures -- I recommend adding these in later in Word/LaTeX.\n",
    "\n",
    "One final note: I have added comments to the code below. In Python, anything after the pound sign ('#') is considered a comment. It's good coding practice."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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/xHLJTvVYBa8TaBp6w/u8YgvkMwbMmJ3AujtofCMhsv5whUSpOhkmaIS0w5US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\nQgghhBBCCGFEJAkUQgghhBBCCCPy/wUtd2SWNmudAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10bf88a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daily_plot = daily_count['Number_of_tweets'].plot(kind='line', lw=1, alpha=0.75, legend=True, x_compat=True)\n",
    "\n",
    "daily_plot.set_xlabel('Month', weight='bold', labelpad=15)    #SET X-AXIS LABEL; ADD PADDING TO TOP OF LABEL\n",
    "daily_plot.set_ylabel('# Tweets (Messages)', weight='bold', labelpad=15) #SET Y-AXIS LABEL; ADD PADDING TO RIGHT OF LABEL\n",
    "\n",
    "xticks(fontsize = 9, rotation = -30, ha =\"left\")  #SET FONT PROPERTIES OF X-AXIS TICK LABELS\n",
    "yticks(fontsize = 9)                              #SET FONT PROPERTIES OF Y-AXIS TICK LABELS\n",
    "\n",
    "#http://matplotlib.org/users/legend_guide.html\n",
    "#http://nbviewer.ipython.org/gist/olgabot/5357268  ### LIST OF OPTIONS\n",
    "#legend(fontsize='x-small',loc=2,labelspacing=0.1, frameon=False)#.draggable()\n",
    "daily_plot.legend_ = None\n",
    "daily_plot.tick_params(axis='x', pad=5) #SET PADDING ABOVE X-AXIS LABELS\n",
    "#Set x axis label on top of plot, set label text --> https://datasciencelab.wordpress.com/2013/12/21/beautiful-plots-with-pandas-and-matplotlib/\n",
    "#daily_plot.xaxis.set_label_position('top')\n",
    "\n",
    "savefig('daily counts.png', bbox_inches='tight', dpi=300, format='png')   #SAVE PLOT IN PNG FORMAT"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Output account-level data to CSV file"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As shown in Chapter 1, it is simple to save the output of any of the temporally aggregated files we have created above. For example, let's output <i>daily_count</i> to a CSV file. This will give us a file with 365 rows and two  columns above: <i>date</i> and <i>Number_of_tweets</i>. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "daily_count.to_csv('Number of Tweets per Day.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PANDAS can output to <a href=\"http://pandas.pydata.org/pandas-docs/stable/io.html\" target=\"_blank\">a number of different formats</a>. I most commonly use <i>to_csv, to_excel, to_json</i>, and <i>to_pickle</i>."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Generate and Plot Day-of-the-Week Tweets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "Now let's create a dataframe with a count of the number of tweets per day of the week. We can apply the same function <i>f</i> and use the same index variable <i>date</i>. The only difference is that we will access the \"weekday\" element of our index variable <i>created_at</i>. It bears repeating that we converted <i>created_at</i> to a python <i>datetime</i> variable and, fortunately for us, this type of variable has a number of different attributes we can access, including <i>second, minute, hour, day, weekday, month</i>, and <i>year</i>.\n",
    "\n",
    "In the following block of code we will now apply our aggregating function <i>f</i> to our dataframe <i>df</i> and use the <i>groupby</i> command again -- only this time we are aggregating on the <i>weekday</i> attribute of our datetime variable. We are thus asking PANDAS to create a new dataframe, called <i>weekday_count</i>, and asking that this new dataframe be based on aggregating our original dataframe by <i>index.weekday</i>, applying the function <i>f</i> we wrote above. In other words, we are going to our original dataframe of 32,330 tweets, and aggregating or collapsing that data based on the day of the week it was sent. We are thus converting our tweet-level dataset with 32,330 rows into a daily dataset with 7 rows. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Number_of_tweets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>957</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Number_of_tweets\n",
       "0              5306\n",
       "1              6467\n",
       "2              6715\n",
       "3              6108\n",
       "4              5264\n",
       "5              1513\n",
       "6               957"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weekday_count = df.groupby(df.index.weekday).apply(f)\n",
    "print len(weekday_count)\n",
    "weekday_count"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>In the datetime variable, '0' is Monday and '6' is Sunday. Let's add another column to our new dataframe with the names of the days of the week. The first line creates a Python <i>list</i> with 7 elements, the second line adds a new column \"day\" to the dataframe and fills it with the values in the list (called \"days\") we created in the first line. The third line displays the updated dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Number_of_tweets</th>\n",
       "      <th>day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5306</td>\n",
       "      <td>Monday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6467</td>\n",
       "      <td>Tuesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6715</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6108</td>\n",
       "      <td>Thursday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5264</td>\n",
       "      <td>Friday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1513</td>\n",
       "      <td>Saturday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>957</td>\n",
       "      <td>Sunday</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Number_of_tweets        day\n",
       "0              5306     Monday\n",
       "1              6467    Tuesday\n",
       "2              6715  Wednesday\n",
       "3              6108   Thursday\n",
       "4              5264     Friday\n",
       "5              1513   Saturday\n",
       "6               957     Sunday"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "days = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']\n",
    "weekday_count['day'] = days\n",
    "weekday_count"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "<br>Let's plot these data. We'll use a bar graph here.\n",
    "\n",
    "One change you'll notice is that we are not using the index column for our x-axis labels but rather the labels in our new \"day\" column. The second line in the block of code below takes care of this."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10bf88d90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "day_of_week_plot = weekday_count['Number_of_tweets'].plot(kind='bar')\n",
    "xticks(np.arange(7), weekday_count['day'], rotation = 0, fontsize = 9) #, ha =\"left\") \n",
    "\n",
    "###IF WE DON'T WANT TO CREATE ANOTHER COLUMN IN DATAFRAME WE CAN SET CUSTOM LABELS\n",
    "#days = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']\n",
    "#xticks(np.arange(7), days, rotation = 0,fontsize = 9) #, ha =\"left\") \n",
    "\n",
    "savefig('day-of-week counts.png', bbox_inches='tight', dpi=300, format='png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>We see that, not surprisingly, there are many fewer tweets sent on the weekend over the course of 2013."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hour-of-Day Counts "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We might also be interested in the hour of the day that the tweets are sent. We only need to access our index's <i>hour</i> attribute to accomplish this."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "24\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Number_of_tweets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>3155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>3140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>3114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1114</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Number_of_tweets\n",
       "0               1020\n",
       "1                743\n",
       "2                420\n",
       "3                250\n",
       "4                189\n",
       "5                238\n",
       "6                144\n",
       "7                 93\n",
       "8                117\n",
       "9                 99\n",
       "10               183\n",
       "11               267\n",
       "12               663\n",
       "13              1713\n",
       "14              2888\n",
       "15              3155\n",
       "16              3140\n",
       "17              2925\n",
       "18              2944\n",
       "19              3114\n",
       "20              2937\n",
       "21              2362\n",
       "22              1612\n",
       "23              1114"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hourly_count = df.groupby(df.index.hour).apply(f)\n",
    "print len(hourly_count)\n",
    "hourly_count"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>Now let's plot the data. First let's try the default plot. As you'll see, it's a line plot with ticks every five hours. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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JWCxavERE2k9Cj27cNjaVMy4Pb288bHacTksFTkRERL7RhqJKDGBCdpLZUUSk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\nIiIiIlIJBjgiIiIiIiKV+H/WwNNjUwU3eAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10d2dec90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hourly_plot = hourly_count['Number_of_tweets'].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>We can show ticks for each hourby adding a line of code. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.axis.XTick at 0x10d90c210>,\n",
       "  <matplotlib.axis.XTick at 0x10d21a750>,\n",
       "  <matplotlib.axis.XTick at 0x10c157910>,\n",
       "  <matplotlib.axis.XTick at 0x10c157b10>,\n",
       "  <matplotlib.axis.XTick at 0x10e9ee1d0>,\n",
       "  <matplotlib.axis.XTick at 0x10cff9090>,\n",
       "  <matplotlib.axis.XTick at 0x10d250f50>,\n",
       "  <matplotlib.axis.XTick at 0x10ceec110>,\n",
       "  <matplotlib.axis.XTick at 0x10d29d710>,\n",
       "  <matplotlib.axis.XTick at 0x10d9c8c50>,\n",
       "  <matplotlib.axis.XTick at 0x10e9154d0>,\n",
       "  <matplotlib.axis.XTick at 0x10c157c90>,\n",
       "  <matplotlib.axis.XTick at 0x10d599990>,\n",
       "  <matplotlib.axis.XTick at 0x10ceee810>,\n",
       "  <matplotlib.axis.XTick at 0x10d007590>,\n",
       "  <matplotlib.axis.XTick at 0x10cf88d90>,\n",
       "  <matplotlib.axis.XTick at 0x10cf88410>,\n",
       "  <matplotlib.axis.XTick at 0x10d1c4150>,\n",
       "  <matplotlib.axis.XTick at 0x10d71f490>,\n",
       "  <matplotlib.axis.XTick at 0x10d71fc10>,\n",
       "  <matplotlib.axis.XTick at 0x10d03d3d0>,\n",
       "  <matplotlib.axis.XTick at 0x10d03db50>,\n",
       "  <matplotlib.axis.XTick at 0x10d065310>,\n",
       "  <matplotlib.axis.XTick at 0x10d065a90>],\n",
       " <a list of 24 Text xticklabel objects>)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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I0UOiycmIZ0j/ry/iYrX/bupp3bUMmFcd6GbMmMEzzzzD7NmzaW5uZsGCBQwcOJCf/OQn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\nERERERFRjPp/L7xpg//CMX4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10cf8f0d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hourly_plot = hourly_count['Number_of_tweets'].plot()\n",
    "xticks(np.arange(24), rotation = 0,fontsize = 9) #, ha =\"left\") "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>However, it is showing the hours in the \"pythonic\" way -- from 0 to 23. We can fix that by adding a list with the hours 1-24 and then invoking that list in our xticks command. The plot below also adds labels for the x and y axes and saves the output in PNG format.` "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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sOMmxYYZudmTEv0d2h4PcQ1VsyCri+/1lWG0/nBE5vA+zLx9G/2Bfl/Y4Y7b/1szWA53s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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10e915d90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hourly_plot = hourly_count['Number_of_tweets'].plot(kind='line')\n",
    "hours = list(range(1,25))                                                #GENERATE LIST FROM 1 TO 24\n",
    "xticks(np.arange(24), hours, rotation = 0,fontsize = 9)                  #USE THE CUSTOM TICKS\n",
    "\n",
    "hourly_plot.set_xlabel('Hour of the Day', weight='bold', labelpad=15)     #SET X-AXIS LABEL, ADD PADDING TO TOP OF X-AXIS LABEL\n",
    "hourly_plot.set_ylabel('# Tweets (Messages)', weight='bold', labelpad=15) #SET Y-AXIS LABEL, ADD PADDING TO RIGHT OF Y-AXIS LABEL\n",
    "\n",
    "xticks(fontsize = 9, rotation = 0, ha= \"center\")                          #SET FONT SIZE FOR X-AXIS TICK LABELS\n",
    "yticks(fontsize = 9)                                                      #SET FONT SIZE FOR Y-AXIS TICK LABELS\n",
    "daily_plot.tick_params(axis='x', pad=5)                                   #SET PADDING ABOVE X-AXIS LABELS\n",
    "\n",
    "daily_plot.legend_ = None                                                 #TURN OFF LEGEND\n",
    "\n",
    "savefig('hourly counts - line graph.png', bbox_inches='tight', dpi=300, format='png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>It's then easy to copy the above code block and change it to a bar graph by adding <i>kind='bar'</i> to the first line."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Xl5uWpbCwUHfffbdycnJUW1urwYMHm5blgpiYGOXn50uSHA6HT3zN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\n7YQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10cf34f90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hourly_plot = hourly_count['Number_of_tweets'].plot(kind='bar')\n",
    "hours = list(range(1,25))                                                 #GENERATE LIST FROM 1 TO 24\n",
    "xticks(np.arange(24), hours, rotation = 0,fontsize = 9)                   #USE THE CUSTOM TICKS\n",
    "\n",
    "hourly_plot.set_xlabel('Hour of the Day', weight='bold', labelpad=15)     #SET X-AXIS LABEL, ADD PADDING TO TOP OF X-AXIS LABEL\n",
    "hourly_plot.set_ylabel('# Tweets (Messages)', weight='bold', labelpad=15) #SET Y-AXIS LABEL, ADD PADDING TO RIGHT OF Y-AXIS LABEL\n",
    "\n",
    "xticks(fontsize = 9, rotation = 0, ha= \"center\")                          #SET FONT SIZE FOR X-AXIS TICK LABELS\n",
    "yticks(fontsize = 9)                                                      #SET FONT SIZE FOR Y-AXIS TICK LABELS\n",
    "daily_plot.tick_params(axis='x', pad=5)                                   #SET PADDING ABOVE X-AXIS LABELS\n",
    "\n",
    "daily_plot.legend_ = None                                                 #TURN OFF LEGEND\n",
    "\n",
    "savefig('hourly counts - bar graph.png', bbox_inches='tight', dpi=300, format='png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Generate Monthly Tweet Count"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Generating a count by month follows the same process."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "12\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Number_of_tweets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2084</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Number_of_tweets\n",
       "1               3203\n",
       "2               3056\n",
       "3               2973\n",
       "4               3162\n",
       "5               2784\n",
       "6               2366\n",
       "7               2314\n",
       "8               2314\n",
       "9               2485\n",
       "10              3207\n",
       "11              2382\n",
       "12              2084"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "monthly_count = df.groupby(df.index.month).apply(f)\n",
    "print len(monthly_count)\n",
    "monthly_count"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>Using basically the same code as above, we can plot a bar graph of these data. The one change is the second line of code -- here we use the <i>calendar</i> package to help generate a list of the months of the year. Python has a ton of such specialized packages to help same save."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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IsEdtAAAAAAA7sBoML1++rM6dO6tatWqqUqWKevbsqYSEBA0YMMAe9QEAAACA3eXn5+vY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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10c123310>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "monthly_plot = monthly_count['Number_of_tweets'].plot(kind='bar')\n",
    "months = list(calendar.month_name[1:])                                    #GENERATE LIST OF MONTHS\n",
    "xticks(np.arange(12), months, rotation = 0,fontsize = 9)                  #USE THE CUSTOM TICKS\n",
    "\n",
    "monthly_plot.set_xlabel('Month of the Year', weight='bold', labelpad=15)  #SET X-AXIS LABEL, ADD PADDING TO TOP OF X-AXIS LABEL\n",
    "monthly_plot.set_ylabel('# Tweets (Messages)', weight='bold', labelpad=15) #SET Y-AXIS LABEL, ADD PADDING TO RIGHT OF Y-AXIS LABEL\n",
    "\n",
    "xticks(fontsize = 9, rotation = 0, ha= \"center\")                          #SET FONT SIZE FOR X-AXIS TICK LABELS\n",
    "yticks(fontsize = 9)                                                      #SET FONT SIZE FOR Y-AXIS TICK LABELS\n",
    "daily_plot.tick_params(axis='x', pad=5)                                   #SET PADDING ABOVE X-AXIS LABELS\n",
    "\n",
    "daily_plot.legend_ = None                                                 #TURN OFF LEGEND\n",
    "\n",
    "savefig('monthly counts - bar graph.png', bbox_inches='tight', dpi=300, format='png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting Ridiculous: Number of Tweets per Minute"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In case you ever wanted to, you can also access the minute at which the tweets were posted. Note that the <i>minute</i> attribute refers to the minute of the hour, not the minute of the day. That is, the <i>n</i> is 60. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "60\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Number_of_tweets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>471</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Number_of_tweets\n",
       "0              3126\n",
       "1               634\n",
       "2               600\n",
       "3               557\n",
       "4               471"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "minute_count = df.groupby(df.index.minute).apply(f)\n",
    "print len(minute_count)\n",
    "minute_count.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>I'll just use the default plot here. There appears to be a spike at the 1st and 30th minutes of each hour. Probably due to automatic scheduling of tweets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11ed68910>"
      ]
     },
     "execution_count": 239,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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RkTp+GeBswWolICIiIiIici7/DHB1veDUSkBERERERKSeXwY4e4hq4ERERERERM7llwGu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\n67Rvf5g6U0RYMN+f3B9neSV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BJjsP5/G/b+zB6/Xx45tGMXFkzFn3180bg8HA0L7dGNwn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\nR0RERERElCL+D8DQN7wqCZkCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11dcab110>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "minute_count.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Super Ridiculous: Number of Tweets per Second"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the <i>second</i> attribute refers to the second of the minute, so the <i>n</i> is 60."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "60\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Number_of_tweets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>920</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Number_of_tweets\n",
       "0              1227\n",
       "1              1626\n",
       "2              1720\n",
       "3              1141\n",
       "4               920"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "second_count = df.groupby(df.index.second).apply(f)\n",
    "print len(second_count)\n",
    "second_count.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>Not much useful information here. There are spikes at the first, second, and third seconds of the minute, probably also due to automated scheduling of the tweets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10fd35b90>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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JmWwXAAAAACDGXTC8ZWdna8OGDZKk4cOH61e/+tWHrnP77bfr9ttvP+s8h8Ohn//85z1U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\niAKENwAAAACIAoQ3AAAAAIgC/w/GBu9os4C2qgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10fd5ef90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "second_count.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Alternative Plotting Styles"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I like the <i>Seaborn</i> styles shown above. However, you might want to play around with some of the other styles available to you. First, let's try the plot with the 'default' mpl_style. For each style, I'll show you a line plot (# of tweets per day of the year) and a bar graph (# of tweets per day of the week)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pd.set_option('display.mpl_style', 'default') # Make the graphs a bit prettier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "plt.rcParams['figure.figsize'] = (15, 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AwI033ogdO3ZASom7774b8/Pz2LlzJ2644Yauj2MUsV2JlKEjYXRQJjqGPYNCKph+nyAz\ng4QQQshwU3S9A/HAP5mQUadVEidSZvC8887D0aNHS//+6U9/inPPPbejgdXjIx/5CO644w7Yto3j\nx4/j/vvvx6233oqPfvSj+Pa3vw0AePzxx7F9+3bs2bMHKysrOHHiRNfHMYpYrkTa1JE02iwTlZ6I\niqb5QipjQvC+DX28VFQJIYSQUSQIBnnAS8aFrlhLvPe978WPf/xjAMDnP/95PProo3j3u9/d8eAa\nkU6nkUgkUCwWMTMzg3Q67QchEs8++yyuuOIKAMDll1+Op59++oyNY5Qo+gIyCV2H21bPoFcmOm7l\nkkKVy0TZYzAc5GyBoytWv4dBCCFkACk6fjDINZ2MCa0u9UhlopdddhnuuOMOPPTQQ5BS4qqrrjpj\npvPFYhH5fB6bNm2CUgrf+c53oGka0uk08vk8crkc1tbWcNttt+F973sfTp06dUbGMWrYrkTSDMpE\n2+sZHHY1UduVOLhYwMVnT0R+jCuVV0ZCNdGh4dlTeTx5Yh03/Vpt9cJCzoblKrxsJtWHkRFCCOk3\nQWaQiqJkXOiKz+Bf/uVf4uabb8bv/M7vdGNMTXnggQfw9re/HQCgaRquvfZaKKVw1113IZvNYmJi\nAlNTU7j99ttx4MABTE5ONn2+ubm5Mz7mYUDpx3HOxjlMZnNIZ705izM3umFi48Y5TC9LrMnCUM7r\nr+bX8W+H5nHVheeVftbqfazIHCYyyxBKYXJqGnNz2TM9zIFhGD9jAMguSxhJp+74Hz52HGuWi0vP\n39zWcw/rnPQCzk0tnJPGcG6aw/mppVtzooxTME0TU9MzmMsmu/Kc/YbXSy2ckzKG2TzcixQMHjhw\nAH/1V3+FZNL70miaBqUUTNPEK1/5Stx0002Ynp7ueLAPPfQQtm3bhi1btgBAKRuYTCahlIKu67jw\nwguxf/9+XHPNNdi/fz+uu+66ps+5tLTU8bhGgdV8EcXcGoRj4fTyKrBlJvLcKKVgOw5Wl5eRz+eQ\nyxWHcl4XlnJYC419bm6u5ftYXC7AdWwIqbC0tIIpjEf5YZS5GVRW1tawnsvXHf+p5TXYQrX13oZ5\nTs40nJtaOCeN4dw0h/NTSzfnZGW9ANd1cXpxGbASXXnOfsLrpRbOSSWW7TT9faSewe3bt8O2bbzl\nLW/BW97yFqyvr+Pcc8/FO9/5Trz44ou46667Oh+oZeHee+/FD3/4Q9xxxx14+umn8a53vQuf+9zn\n8Nd//delbOGuXbvw4osvYs+ePZiZmcHmze2d8I8bliuRNDQk27CWkArQNe8QQB/inkFHKlhuvPde\nMp3XWSY6LEiFhoq5eUfAbaNMmhBCyGhQdIVvk8U1nYwHCl2wljh16hRuuOEGvO1tbwMAGIaBvXv3\n4uqrr4ZhGPj85z/f8UBTqRS+/OUv1/x8z549Ff/WdR27d+/u+PXGCakUHOkJyJhtWEt4HoOe/vIw\n30AtV8KKGQgLpWBqGjBmlhrDjFJoqJibs73vASGEkPGk6EpMJA32DJKxQCnVUkAm0q4omUxC08pm\nLJqmQde9hyYSCUietA80jlBI6Dp0TUNC12KriQaKmgCgobUq0aDiCAVHqFhBXWA6r2utfVrIYCCU\nanjgUXAE5cQJIWRMUcqrEJpMGlwLyFgQ5SqPlBl805vehG9+85uloO9b3/pWyYR+x44deM973tP2\nIMmZx3IlUqYXzCUMPbaaqGfM6mcG9SFWE/WzgpYrkUkYkR4jJGDqGoTUuHAMCV5msP41nrdF5M+e\nEELIaOEI74A3aWrMDJKxIGj1akakYPCd73wnstksHnroIWiahne84x245pprAHhNmr/927/d8WDJ\nmaPoSiQNL5Pbjum81zfn/fcw+wwGwaAtFDIRe8aFVNBLpvND+sbHDKlUw+x3zpGYiVEqfNd/Hsbu\n/3YekiwtJYSQoafgSqRNnWs6GRukKrd6NSJSMKjrOq699lpce+21AADbtvHUU0/h0ksv7XyU5Ixj\ni3KflKlryDvxRVSCC0kb4p5B2w8Q4ojICKVg6oA7xEHwuNFIQEYqhYIjEPXjF1LhyIrlHaYwGCSE\nkKGn6PjBoKYhpoQAIUOJUkCLWDBaMAgA+/fvL8m0Hjp0CD/4wQ/wjW98o6MBkt5g+SdhAJA0dKwU\n3ViPlwqlnsFhVhO1/SigGCMY9EznfTXRYX3jY4ZUqm6ZaNGRUAqRP8fgOokrOkQIIWQwKboCadOg\nQjgZG7qWGbz33nvxk5/8BJZlYWZmBuvr68hmx8d8e9gJZzbaUhNVCoZ/Hem+x+QwEmQG7TiZQalg\n6hoMrX8lJVIprBRczGWH3w+pF0ilIFXZFiSg4GfEo/aJ5B0BALDd4bzeCSGkGyzmHWwYkfXHchXS\nCR2mzp5BMh5I5Yk/NiNS7dODDz6ID3zgAwCA97///bj66qtLxvBk8LFdVSoTbVdNNDhV8IKirg+x\nJ5QEZGJkeoKAQtfRt5KS5xYK+NoTJ/rz4kNIELNXH3rkbIGkocONGNQX7KDHlJlBQsh44giJv/3J\ni0N7CFxNwRF+mWj0KhFChhmlPO2LZkQKBgMVUU3TkEwmcfHFF+PQoUMdD5D0hqIrkTbKaqJxN7cy\nlGHRhthvzxYKaVOP1TNYtpboX0nJ0VUrtujPOBNMlVt1neccgZm0UfPzRgRlopx7Qsi44koFV6qR\nuQ8WQwIyzAyScUCq1sFepGBw+/btWFhYwEUXXYTvfe97+MUvfoGZmZkuDJH0As9aws8MtqUmWpal\nHeqeQSExmTJgxSj780pk+1smemLNil3aO84EJ9jV13nBEZhKm5EFZIIyUfYMEkLGleA+Oir3QcuV\nSCeoJtouB06uj0yWeFxQQIVXfD0iBYMf/OAH8YY3vAG/93u/h2KxiCeeeAIf/OAHuzFG0gPCaqJJ\nI/5pWNh0Xu9jUNQptisxlTJjZgYBQ/cEdGLaM3aNE2t25GwWKR9WVAfQeVtiOmVGLg0KegzjXC+E\nEDJKBPfLUemdLmUGNWYG2+H/+PmJWCJ8pP9IqbrjM3j++eeX/vuv//qvOxkT6QNFV2Im7X3UCV2P\nnRmUfnYMGPbMoMJcxohVJiukKvcX9CEIFlLh5LqNbILWBlGRDTKDeUdgOmVE3gAU/MzgqJRHEUJI\nXIJDtVEJAAqOxFzGRMGRtJaIiVJeyXAcr2bSf6KYzkfaYR48eBBPPvkkAOCRRx7B3r17YVlWxwMc\nBvK2wE+eX+r3MDrCDpWJemqicX0Gw2WiQ5wZFBJTKSOez2BJQKY/1hKncjZSZvwAfpwJPia36jrP\n2QLTabPm540ouMwMEkLGm+DwbFTug+Ey0WHLDBZdiX97brFvrx/MVz3rJjK4SKjulInefffduOuu\nu/Dggw/innvuwY9+9CPcd999XRnkoLOQd/DTl1b7PYyOKAqFlNFBz2BFmWhZrXHYsIWKXSbqmc73\nT0DmxJqN86ZTQ7do9ZNGPYN5R2IyaUCqaCJIBVtgIhkvk0wIIaOEO2I9g2EBmWFTE13MO3j4xZW+\nvX6wD7F5OD1UqG5lBldXV3H99dfjqaeewtVXX43rr78ejz32WDfGOPC4Qg29eIflSiRNX01U12J/\nkcOGlcOcGXT8zGAxxvsvmc53EAQfWSm2fZp3fM3G1tk0XKnYtB2R4OOt7RkUyCaNyP5SBb+8mgsf\nIWRcCSqJ4vjzDjKetYQBYwiV0YuO7Ot6FBywMjM4XEQxnY8UDBaLRczOzuLw4cPYtm0bksnk2JSJ\nun6N9DBj+ydhgGctEfeLLCQqBGSGcW8slSeNPZk0YpvOl6wl2rwOTq07OHi60NZjT6xa2DKdgq5h\nKOe9HzTrGZxIeMFglM+y4EjMZkxmBgkhY0tw+xvFzOCw7e0sIfu6HpXLRIdr3sadrvUMXnLJJdi7\ndy8OHTqEiy66CI8++iguuOCCboxx4HGFim3SPmgUq6wl2lIT9S8kTfOUiYYNRygkDA0pU2/LdN7Q\n2w+CHdn+Dfz4moXNU0mYuj50C1e/KAeDlXOedySyST16ZtARfmZwNDZBhBASlyAzGMeSaZAJegaj\nHgoOEkVHwpWqbxnNUSgT/e5Tp/DcQr7fw+gpqluZwVtuuQWXXXYZdu/ejY0bN+LYsWMwDKMrgxx0\nXKliC64MGpYrkQx6Bv2NcJybiZDlC6mffnudYAtvDlIxTeeFAkxd66ikxJWqrYW06Eqs2wKbJhIw\nDY32EhFRCnVPffO2QNbPDEY54Ck4fpnoiGyCCCEkLmLEBGTC1hLDFtMEB9n9+ixGoUz0xJqN5aLb\n72H0FKm8RE4zIllLzM7O4qabbir9+7Of/WxHAxsmXClL/Vqt1HgGlYIjkfGtCTRNg6lrsb7McgQE\nZGxXIelnBuOUiQY9g52oibpStVVic2LNwjmTSeiahoSuDX3vaq8QCkgZlQqsQirYIqQiF0VAxg8G\nX1hsr8SXEEKGnVEznS84w1smWvS9b50+WTsEStzDnBksOGLsylyVAnR0ITMohIDjOACAhYUFPPvs\ns52PbkjwAsHh9dbL2wJCeb1yAXEVRYVEqUxU76Bcsp/YwiuVTZk6ijEyPUIqPzPY/vt2hWrrJO/4\nqo1zp1IAMJQlLf1CKYWkWRk8FxyBdMLwAusIpdJSKRRdr0x0VMqjSHyUUlguOP0eBiF9I1DRHgUB\nmaAqKmFoMPTha3kJAvJ+tS6UegaHuFqu4PS377IfCKVaZgYjBYMf+chH8P73vx9PPfUU/viP/xh3\n3HEH/vVf/7UbYxx4yhf/cN00AhZyDjZNJCqymgkjXnas1lpi+ObCFhIJQ0fS0NrwGURHC4frZ6Xi\nslhwsHHCO/4zmRmMjCxlBstznnckJvzseBRJccuVMHUdaVMfu4WDlDmxbuPLjx3r9zAI6RtBv/0o\nmM5brkTaNKBp3gHvsGYG+3VAGSQRhrl1ouCOXzDoWUt0ITMopcS1116Ln/3sZ/i1X/s1vOc978EP\nfvCDrgxy0Al6i3rdr2W5EsdWO1dsXcjb2JStrCfw7CXilYlWWkt0PKyeY4tymagjZeT+P9fvl+zE\nZ9CVnpJp3Mye6y/CAGAa45MZXLNcnM63n42RSvmfc3m+cr6tBOAH1i3SvEVHIpvwMsnD3B9BOqPo\nSKxa49VfQkgYIb3KolHoGSw6XqsA4FfbDNnBdvAZ9CuYEUOeGVRKoTiOZaJQ3VETXVhYwPnnn49D\nhw7hFa94BTZu3IilpaVujHHgcfqUGXx2IY8HDpzq+Hm8zGCy4meJmGIkQpZlafUh9OYBygIyeqln\nMtp7CEznOyoTLSlwxbuBOlIhoZcXrnG5ge07uoYHX1hu+/FSAUmjUiQm7whkEl4wGCUzmHckMgkD\nCUODNSbzTmpxpULBkWNzEENINY5UmEgaQ90nFlB0Rclmayh7Bt1yz2A/cEp7meGatwBbKEg1ftYY\nUQRkIgWD5513Hh555BE8//zzuOCCC/DCCy9gy5Yt3RjjwBNsAnp90yg4oiuKR6f8MtEwCUOP9WUO\nC8how5oZ9AVkACAdQ1G07DPYfploqbQi5g3IEbKcGRzChatdhOosEy+lQrIqM5i3JSaSfmCttS65\nLboCmYSOZMySajJaBAc4OVv0eSSE9AchFbKJEckMuuXMoKFrw9cz6EqYutY3MZ9h9xksON59nGWi\ntUQKBj/wgQ/g5MmTeP3rX49t27bhu9/9bklQZtQJNo299hrM2xIrRbfjLNxCzsZZNcFgPDXRICAC\nhj8zCABJI7rXYElApoOSkuAGGncxdf3XBsqWIOOAVCqS2mcjFOr1DHq2EkC0ktu8X06U8nsGh7FP\nlnROsOlZZzBIxpRyZnD4N9BFRyJttJ8ZPJ13cODkelfH9Mv5HE7nou2ni67EdNrs2wGlI7xyw2G9\nFgp9zqz2C6FUCy3RiNYSr3rVq/DpT3+69O8vfelL4+MzGPiq9Doz6HqlSTlbYCoV6WOqQSlVv0w0\nZs+g57Xn/ffw+gyW++/ieA26IdP5di+BtoNBoZDwg8FhLGlpFyFVR4cvQnmZwXxoA593ZDkYjDCX\nBcfLDAbB+JitHcSnFAxaDAbJeOIKhcmUgeLScAYAYQrhzKAW/77+/OkCDpxcxyXnTHZtTA+/uILL\nz50sicUU2EJ/AAAgAElEQVQ1w3IlplL9K9l1pUImYQxtMFWw+9tz2S+U8pwAmhEpMwgAuVwOP/vZ\nz7C8vIzFxUXIIW0gjYvbp8xg0U9nLxfaLxVdtwU0DZhIVgbuSSOeQqJUntce4NUdSzV8iqK2kEj6\nEW2cYDAwndc1dOQzCMQPBh2pkPBPMU1D7/k12C+k6uzwRSmvFLhWQKbcf9kqGCyGgsekEf16IaNF\nIJSwblNEhownzqiViZohAZmY64wlZNcDoXVbRD5gt1yJ6ZTZN1EzV0pkhzhLXHAFdG189BcClFIt\ng71IweBzzz2HW2+9FX/7t3+LY8eO4Stf+Qq++tWvdmGIg08pGOxxVibvSwh30je4kHNwVlVWEPDF\nSGLbK5TVRAGvFG+YCNREASBlaJFP1jzTefgCMm0Gg0JC0+Kb9jrCs7UAvMzssCp4xUWq+Mqr1Y9P\nVokk5W2BiZCATKvvsycg45cV015ibGFmkIw7rpSYSBoj4bdqu+VD4XaqbSxXdr1KbN1yEXV5KfqZ\nwX71DDpCIZvQhzaYKjgSM+nREEOKg0SXBGS+9rWv4ZWvfGXp35deeimeeeaZTsY2NPTLZLPgCMxl\nTKx0kBlcqCMeA/g9gzFuaEKWM4NA0DfY9rD6giMkUkY5MxjVM0mWBGQ0tHsJuP7JalxvHlfKkJqo\nPjZlolJ1dvgilfcZh5+j4Ahk/Ax5lP7LgiOQMb2/Txnjd5JIPGwhoWvsGSTjiytRyqYN+xoUPhT2\nWj/ivR/blV3Pyq3bItLhp1IKlpCYSpkDUCY6nIejRcfruRyXg/UAKVV3BGR+9atf4dJLLy39+7zz\nzsPi4mJnoxsSXKmgab0vEy04EudOpTrLDOYbBYN6rMygVIAeulK8wGi4FgXblaWSy2RbPYPtC+e4\nfgN+3NM8VyqYxpgKyHScGaxUzM37voFANGuJQsiPKsEy0bHFEQqzmQSDQTK2uELCNLRYKtyDih06\nFDa0dspEVVcDMS+4VJGqjmzhCcqlzf4pXHsH2/HU6AeJgisw3cdgul9IoDs+g3Nzc1hfLysovfTS\nS5idne1kbEODK1VN/1G7/MOjR3FyzY70twVXYvN0h8FgzsambG2ZaMKIKyBTeaqgaxp6cSvqplBN\nZZlo9Jtp4DPYiel8SY0tbs9glen8uPQMCtlZMFivZzCc6YskIONW9gz2q0z0f3/8OI6uFPvy2iQI\nBk3kWCZKxpRAUTtpasMfDIYOhduxa7K6nBlc8w+ZogSlQb9j0oze5tJtvDLR4c0MemWi/eu57BdK\nKWjdyAxec801+OEPfwgA+O53v4sHHngAb3rTmzof4RDgCs98uhtZmZdWiliJGNwVbIFzp5Idl4me\nNVknMxhTTTQsIAOgI8+9OPztT17EutUd4QarWkAmwvsPglFd0yJlkxrhCi8YjFqaWnrc2FpLtC/W\n4z1eIWlW9gwWHFkhINM6MyhKPYOpPi6+p/MOVooMRPqFIyQ2MDNIxhhHljNSQx8MVpWJxr2tW67s\n6loQHDJFOWi2gmCwj4eTrlTIJoc3M+iViY5hz6BqnRmM5Fnw1re+FYZh4Cc/+QnW1tZw44034q1v\nfWs3xjjwBPXynWZlCo5AwZEl08tmKKVQcL0y0ZVie36Oga3ExmyDMtEY70dIlIRMAE+ithf2EitF\nF6uWwGSb1hphHKEqegajmEi7ohwEd9InGZSJxjadl5XWEsO+EEdFKNVRj55QXvY3CJ6lUl55UEg4\noFVgXggLyPTReL7oyr6JBRDvO7gxm8Dzi4V+D4WQvlDKDBrRe+0HlfChsKHF74G03O6qiQaHTFGG\nUXS9Nay6BaKXuFIhYw6xtYTr9VyOW2ZQKtVSQKbpLvtv/uZv8MY3vhGbNm3Cjh07sGPHDgDA/Pw8\nbrvtNtx5551dG+yg4kqvd6jTMtHFvJfhKkS4mTrCM4jcOJHAquXJDrdq/qxm1RJIGhoyiVo/yISu\nYT2u6Xw4M4gzLyAj/YCgWyp+tpAhn0ENi/nW7z8oEQW87GAn1hITCb2kEBv5caJsLZHQNeTGJjPY\nYc+g9HoGgwWr4HiLaPAdijKXXmbQLxM1tb4FZEVX9i0QJeUyUaqJknHFszjSkDKHV0UyIHwobOjx\ntQ9sIWELGansLgqBZU2U9c4qBYPxKru6STkzOJxrUt4RnoCMUF37DIcBpdAyhmgaDO7btw/79u3r\n6qCGDVcqTJs63A7VhxYLXoavECEgKLiyZHidMXWsWQIz6XjZsadO5rBtLl33dwlDg2vF7BkM5Zh7\nkRkMTr665e9lu+XykKi+ca4sv+92lMcCgp7BpRglv0opOFKWglFzjBQtpexMtU7By/7apWBQVByK\nRJEULzgSmaCsuI8nsZYrxyYjPIjYvnqfVKpClp6QcSGwloqjwj2ohA+F27OWKFuNBc/TCeuWiNx2\nU5EZ7JeATKhtqp0kRb8p+kJypu4p6ie78BkOA1K17gls+vt3vetd2LRpE0zTxJVXXomPfexj+Jd/\n+Rd87GMfQyqV6uJQBxdHKGQSnZeJLua9YDDKzTS8eZ1tw17ClQr/fnARb3zFXN3fxxWQkQo1PYNn\nuko0uNl1NzPoXe7piD2DQXkM4JWUtF0mKhSyMdVEpQI0oOTv2I5B7rDSsc+gv1BL5S1YYSVRoLVw\ngCMkFFBa7L2y6t4vvq705oFlov0j2DBMJo1IpeWEjBqO8NoVUiMhIKNK7QKmHl8ULrgXd+twcN32\n1C2jPJ01CAIyfutKYkgF7YK9dTJmq9Swo9ChgMw73/lO/P3f/z1uu+02KKXwiU98An/4h3+IrVu3\n4jOf+UxXBzuolGqkOy4T9WweihF6BguhzetM2sRyzL7Bnx1ZxVkTSWyfy9T9fSLmyZJ3Mlj+t65p\nZ7xMNLjpdku4IdwzlowozSykFwQC0ewIGhGY9saZc69pvzKA6bbZ7aAiFTp6r4GMcsLPphYdWZsZ\nbLIQBN+/4OaZNLS+GC4H94pRMHseVhxXIaHrmEwZJeU/QsaJwF4pZUQ7RO01/3VsLXLVji1kKRsU\nZLXiVPwUXQld656Y27rllS3GUhPts4CMoWveHnIAr4VWBBU/cRMiw46UXbCWWF1dxfPPP4/nn38e\nhmHgFa94BZRSOHLkSLfGOdB4JpudG34v5h28bDoVqUw07wikS5nBRCx7CSEV/u25RfyPV25o+Dem\nHq/ksLocQNeiqV91QmDQ3r1gsFwSkDb0SBvsmp7BNt6zkApSAdmEDivGnAfeTgGmro9NZlD4mUHV\n5jUWGKwmfBGZfEgZFGitzBr+/gH9s5YIrtFxWrQGDUd6ZWXMDJJxJcgGxfHn7SX/sv9kpH0VEASD\n5bXAiBnY2a7EVMro2j05Z3stQFHVREs9g306IAzsrpJD2LYilVdlk07oQzn+TpBoXdLbtBHtM5/5\nDH7+859D0zS87nWvw+/+7u9ienoajzzyCL761a/i61//elcHPIgEPoPLHVg8AMDpgotff9kUXlhq\n7RkW7leaSccrE913bA0bswm8fEP9rCAQv+RQVJ0qaFovega9m203/L2UryYZLAJJU0Mxws08OAUD\n/AC4jfu/CDXfx8oMirKSKDB+mUHAUwU12yjpL2UGfQuVfFXPYKvrP/z9A/z+w3wfMoP+9TKIG7Bx\nwTtE0jGRMrDWJZsbQoYJV5Qzg4MmZqV8obmo+xlbVPb6ldaCWp29GoTfJ5dJdK/EcN0WOGsyGUll\nvuwz2N/MoFnKDA7XfsRyJVKGXjooHqdDVqXQmZroT3/609J/P/TQQ3jooYe6MrBhwpWqYzVRqRSW\n8g62TKfwy/lcy78vhmTtZ9MmjsQwnV7IObhgY+NAEIhvtipVOSgCOuufi0pwCtaNzKArFTRopfcQ\ndVGr6BlsU0Am8GhKRRStqX5cgGc6Px43r6CZ3hESph5hla7zeF3TShnwsE0E0Fo4oFocIGFofdkE\nFd2gTHQ8PvdBxPEz9JNJk5lBMpZ490O9a+txNwn2ZVEya8GhcCp00KfHOBi3XO9AuZuVIut+ZjDK\nvNquxGzaRMLvdeyHgIsrvbL5pKHB6VBUsdcUHC8rCGD8MoOdqom+4x3vKFlLhJmfn8e3vvWtzkdY\nxWOPPYZ/+qd/wq233oodO3bgxz/+Mb7//e9jYmICb37zm3HVVVdBSom7774b8/Pz2LlzJ2644Yau\njyMgELJIm52Via5ZAmlTx0zajCQgk68SkImTlRRKIak1r/71NsPRv8hutbWEprVdwhcVW3j+Xt1Y\nfMIlooBvOh9RTTQIII2qbOj3nl7Ab7x8FlMtPBBdv/cvGVG0Jvy4ihNMTcO4xATBPLf7nZP+KVjC\n8IK+giMxkawSkGly/VZbqaRifnbdwnK9xX7YTmBHCUeUBWSYGSTjRiDCZWgYSAGZYEMfZTvj+Pf1\n8KbYjGE8b/mBZKJLgYRSnnXWdMrASzHURDVNQ0L39jD1rMPOJI5QMA3v9ftVqtounhaAN19xvbaH\nnSg+g02jhuuvv74mEASAs88+G7t37wYAuG73FshkMomrr766ItC4+eab8fGPfxxXXXUVAODxxx/H\n9u3bsWfPHqysrODEiRNde/1qRCgl3klWZjHvYEM2gXRCj1TbXnTLAjKzaRMrMXoGpazM4tUjbs/g\nmiUwlSrfdLyewcgPbwtbSGzIJrqiJlp9Ghhs7lsFtOGMaGA6HzzmyePrkT4XVyiYejkADR7/vacX\ncGLNavq4RFhAxogXwA8zwbrYfjDoLfqBCmh1mWgrARmpUGGlkurTwmG5EtNpY+A2YOOE7Xt9TqaM\ngcuKEHKmCcoCNS1+dUsvCDJ0UTKDjl/yHSaO8bzlW8t0q8Sw4HhiNilTjzT+ohuyOzL7k9lyfbur\nYcwMFl1RygyOm4BMFJ/BpsHghz/8YXzyk5/EU089VfO7AwcO4JOf/CQ+/OEPdzbKEK9+9athms0z\nLc8++yyuuOIKAMDll1+Op59+umuvX01wI+y0XysIBjMJI4aAjPfRTKdNrFkicimDqLKBqIcZIzPo\nSoWc7SleBfQiM2j5jdqBv1cnOFWZQUPXYGj1b6ZSKXzh4SN+Vrg8l5qmlQJCwFuEonwmrlQwDb20\noAYv+fR8rqnvoCMrBWRaiZ6MEkFmsF3BnCCYCzKDxSprieDnjRBKVfTIJoz+nIgXXYmZtDlWi9Yg\nIaSCgpcVmUgaNJ4nY4d3mOmrKg+ggEywhkcJpmxX1vjKxdFPsF2FtNE98ZF1W2AiaXgtKDEygwD6\n1vPmhqwlhq1iJe94PZfAeGYGW6mJNo28/vRP/xRf+9rXcMcdd2BychKbN28GABw/fhy5XA6vec1r\n8NGPfrRrA64mlUrhvvvuw8aNG/HBD34QmzZtQi6Xw9raGm677Ta8733vw6lTp87Y64eDwU424osF\nLxhM+dkd0SJ7VwhJ4Ru6homkXqotjzJmvYVGbJz3s1J0MZ02atREz3RcEgi+BCp+nZg9hz0GA7yF\nrXZz50qFFxYLWLNERZkoULaXMHTPaiDKHLpSloRggpNVM2lgueA2XYSCay/82sN881Kqtc9NQPA2\n2z2AUfBufKZfYlkvM9hs7mVVmWi/1ESLrsR0ysSRYvSeYdI9HL8/RtM0TDEzSEaI/3hhCUlDx3/b\nNtP078LtCuk+Cpc0IvB/jRJMWUIiUbWPMGJ4DXplolrXsko526u4iqpoaoWCwWQfgjGllH+4rfk+\nfYN1LbSiEFIVT45bZhCeb3UzmkYX27dvx5/92Z/h2LFj2LdvH44fPw4AeP3rX49Xv/rV2LJlS5eG\nWp8rr7wSV155JQ4fPoz7778fu3fvxsTEBKampnD77bfjwIEDmJycbPocc3P1jdejIHM2spkUNs7N\nQjdX236uglrFK86awIYNGzCVTSM9OY3JJr1myjiFczbMYm5uCgBw1vQEkMxibm6i5Wul06uYmZpo\nOlYt7cAVJyO9n1POGjbPTlb8bSZzChOTU6XxnQnMVAEb0ho2rgvo6YlI770Rp5w1TE+sVbyHbCoJ\nIVXNHBRsAdM0IRIZZCZMTGbt0t+kkklMz8wildAhNR2TU9Mt52BRrGMi4107k9kU0hNTyKRMuNCR\nnZhs+BlkchqmJ6zS72XShm6e6uh6jks3X+v2fz2AP3/LRRWWDY1IJE7CNF1MTE5jbi4b63WUUjAM\nExvm5jA1uYzMxCSEvoZzNs6VnssxLejm6YbvL7uqMDkhSr93TAswTgPo7py0wkwVsHlDAofX3J6+\nbrsMwxjjsFp0MJFOYm5uDippw0Hja6YRozYn3YRz05wzOT/WCzlA01u+hli3kEmnMDc3hxxSgLHS\n18+t+rVPu+swTRMTU9Mt9wgrMofp7HLlXiZ9MvI6k8xpmJksYiaTRCqT7ngeDuU0bJyZxOzMNBKp\nXMvnU/oxnL1xDnPTaUxl55HKTmJurrz/PdOfiyslEmYCGzdswPTkOpKZ7MB/h8PjM+YdbJw2MTc3\nh5nJdSQzqYEff7fIZAreoc56479pnWoCsGXLljMe+AXUKz9MJpMwDG8TeeGFF2L//v245pprsH//\nflx33XVNn29paantsSys25Cug/z6KnKFYtvPdXRxFTs3mFhaWoKhBE6cWsTGiUTDv19ay8Mt5rC0\n5JURpjSBI/OLmNHtlq+1lsujkAGWlhpvunO2l/WK8n4On1xFShMVf+tYFlZWV7GUPHOCCkur655y\nlnJxbGEp0ntvxMJSDtKxK96DcJ26c5CzBVzXxYsnFgEAjlX+3KXr4vTSkpdZdV0sLq+0nIOl5TyE\n6722Ll3MLy5hAd7jl1dX0egjOL2yBte2Sq+ds1zki1ZH13Mc5ubmuvpaJ1fyODZ/GnPZxtd9QKFo\nQVMCp5eWMa017qush5AKUrhYXl6GsC0sLq9gZb0Ap7COpSXvudYLTtO5XFldg1Usf+6FootcwcvO\n9Wr+AWBxZd3LSBV697m3S7evl0FgMe8A0sXS0hJcIXF6rYDFxcXIGe5RnJNuwblpzpmen5X1HJKG\n1vI1Tq/bUK6DpaUlFHMOVvPt74M6pd6cnF7Kw3VdLC2vYLbFHmFhKQ8lnMp9gGNjaTnaOnNqaRXS\nseHqAksrDpaWIm2fG3J8YQWmsJFbX0M+wv5yLV+ElVvDkihAuTZOL61go+kA6M33qehKQHp7QWEX\nsbQimu4z+031nJxeXgXgreGuXcTSio2lpdb7kVFgLZdD2tSRavI3nV3NXearX/0q9u3bh2eeeQZv\ne9vbcOzYMTz22GPIZDK45ZZbAAC7du3CPffcgz179mDnzp2l0tUzQclTRe9MTXQx55Q2wWlTR8EV\nABpfhNU+Z9NpEysRley63TO4XHQxl6m8THriM+h6pZ3d8PdyhKwpM9X90ozqW1lQPrhYcDCTNqvK\nRL3fB38TZQ4coWD6n0fSLxMNVLiaVSm4vmpXQKelyv0k8GeKoqQL+Iq4ht5Wz6AMlaMGqm+Fqp7B\nVnNZXcbt9Qz2R0Dm3OlkuTynVdE/6Sq2kDCNco9J0tA8EYceK/gR0m28Er/WrRfhVomkqUW+h/eK\nUplolJ7BegIyMdbVQIguaepdEU9Zt11MpEwYWrS+xcBnEEBsdfIwK0U3UstRNa4o6xgMowBL3pHY\n6O/DPQGc4dxPtUMUAZmBCgZvvPFG3HjjjaV/79q1C9dee23F3+i6XlIyPdMEzdNmBw3DrlRYswVm\n/S9fJoKiaNgPBQBm0gZWitH6VTyPteZ/Y7ZQUwyzUnRx9mSy4mc98RkUCimzO/5e1dYSQOPG8aB/\nYKnglpq7A3TN6y8IFo/oAjJ+z6DpyTEvF52K12r4OD0sejK8Dc/BohF1IyGVQspsz9vTu+l5/53Q\nNVhC1qjJthINqPbkSfm9MmdaNKmakslwqNeU9A5XVt43sn7/MoNBMuw4QkGpCPZKIVVrb/0arAAg\n6JtrFJccXbHwshkvH1JPQMaIoYxuud66lNA1FLowD+uWwFkTSRh66/2UkKqifzMZ0Su5mtM5B3f+\n5BD+9A3nR6rSCeP44jEAhlJAxusZ9K6FhK6PlVVQFAGZ9lU5xoBgQx4nk1bNSsHFdKocVLRSFPW+\n9OUTIACYTplYi2gvIVRrawld80Q2opymLRX6lBkUEilD74qKXz0BmUaN48HHvJR3KkznAV84R6J0\nE45yMBa+gSYNLzgJfCObzaETEp4BggA82mdWjVQKB0/nYz+uWwRBbPRg0JurdjKDImTEa+oa1iyB\nlKnXeEu1zAyGvkKBgX2vT0ID9bhB3ISNA7Zbae+STejIR1CDJmTQcYSMdNgWVrVO6FrJe3lQCDJ0\n9dZy25X4u//vcGnNtHxRujBx1EQ9AZdAPKW9OXCExKGlAgCvJWUiZUQyvrdcbz+kaeW9RDvB2MHF\nPKQCHn1pNfZjw9Up7QrIKKXw7Kn8Gd8/1qMYqrhLmuOXGezIZ3Dc8S7+zmT9lwoO5jLlE5iMqaNY\nR8UyoOAIpE2joi9lOobXYBSfQU3TYOp6pOzgSsEtZTUDeqIm6nv6dEPFz3IVUjUngi0yg0W3xnw8\nCCCDksEoKmSiKjNouRLLRRcJQ2saTDpVZaKa1r6q7ULOwTeeOBn7cd0iWDijypJL6ZXztPNepSqr\nZiUMHatFtyaTE5QGNcr0yToHKv2QVbdCwWA/TO8B4NiqhdM5py+v3W/CJ/GAV+JfZDBIRgBbRrNs\nEhKlAEDTtFKVwqAQtFzUUxN1pYJUKH1nbbe2QihKIFZ6Lf+A2uygRPK50wV88eEj+NVCHmu2wFQy\nmpqo5VZWi6XM9oKx5xcL+F/Pn8VjL63EXl9dUb4ftpMZtIXEP//XSfzDY0dxcr19DYh2KYTmMKEP\nnjLumUQqBb2FniiDwSaUPOL8MtF2ysSWiy5mQ5m1dKL5hqLgypL8bcBM2sRqF3sGgcDEPEpm0MFs\nprKcQNei+eJ0guWXdnYjMxiYxYYJ+v+qEUphNmNiueDUWkv4GdFgYx5lEXFEudwzKDdcKbjYkEk0\nfbwIZRQD4pxihsnZoq83vrhlosLPDLYXDKqSYXzC0LBadCv6BQHv+tVDno+1r69q6uuThtbz7FxQ\nJpoy9NKmp9c8engF/3V8rS+v3W+8ioLydeBVddBeggw/jquiZwZD61A/D6bq0SwzGPwsqMSy62gH\nxFlTi/4+ohOfwdWii3MmU/j6vhM4tW6XfQZb7C3D/YKAd9DZzudw8HQBV26fwVmTSRw40URasg5O\nB5lB25X44sNHIBVw3kwK+T7Y9BRCFlPd8oocFoRCS8s5BoNNCDziWm0em1EdTGUSetN684JdGwxO\npwysRuwZrDbMboQZQRSn6EoIpepsps98ZjAQfek0M1hwBH52ZBWv2lQpHd3oRFBKIGMaSBg6Vopu\njdefCJeJRjgccGW4TLScGdyQTTR9fPjGG2C26TVYdGVf6/tjZwaVQtJsLzOoFEolngldw6pVv8fL\nm8v64xESqDpALnlE9pJyZlBDsU8bMKGiB/GjhiNURXk5y0TJqOBIGWkzHzadBwbPeN5p0jMYLB+B\n5kA97YCoHn+At+6nTL0jw/dVy8XF50zgf3vVRqxZApMpI1LfYthwHmivTHTRb305ayKBq7bN4KHD\nK7Ee74YOtuMGUwt5B5ZQ+J1Xn4PptNlSN+NMEBZm9D7D8QkGlVLQmBlsn3CNtKdMGP8CXq4qs0yb\nzXsGC27t5nUiaZSEMFoRpUwUiHYituwHstVS6noPegaDGvkJX7ShXX747CJedVYWL9+Qqfh5o0XA\n67kENmRMnMo5CLcY6Jr3+3JmsPXrh7OLKVND0VVYLrjYmE007xms2ogC0bO51eRtUaGC2muC6zZW\nMGhEK2OupqJn0M8MVh+uBL9rNB91y0T7FAymffW6fvUMCqn6snAPAo6sFJxIJ4ymJf6EDAu2ULAi\n3F+rVYzTfaxSqEdJQKZeZtC/v+edIBhs0DMY2XRe+YJe7WeV1izPaP7K7TP4w6u2Yipl+ofM0XoG\nA1JtCMg8v1jABRsy0DQNl26exKl1B/MxyjXDZfOJmJlBy5WYSHg9j9mEUfpMeklYmDHZ5n5+WAkL\n6zWCwWATwjfCdvu1lqsEWDw10WY9g7WZQU3TMJ0ysBYhO+hlNaIFg26Lm+BKsbZfEPDSzb1QE00a\nGiaTBtYs0VaJ7pGVIp44toa3XbSp5neNbsBCesHEXCaBhZxdJSDjBcFla4goi2m51Czl97ABQDap\nt7CWkDWZwXZ7V8NlMv0gKEeKXCYqgVSbgW+4UTqh6w2tAJp9n0UdGeaE2VsBmaAcOeWXiQaBaM4W\n+N7TCz0bh5DRLUFGDU9AJlwmyswgGQ0cETEzKCt71/tZpVCPZtYSQZBXDgZrrSV0vXnvfhjLVyNN\n6O0LyKwUXUynvD3Vtrm0N4YI1hLVPYNJM35AevB0ARds9A7FDV3D1tlUrGAwXDKcNDTYMdbnsIhf\nNqEjb/f2GpJKVaiKJ8asTFSitvWlGgaDTQjfCBMx7BjCLFX1DGZaiBB4wWDt5jVq32CQ2WpFlCxT\ndVYzoBeZwUBAJuzvFZf/+dQC3nrRRkzUkeQ3tPqniUFWaC5jYqng1grIyFBmMEqZaKjMJmXqmF+3\nMZvxvYValIkmqkta2g0G/WxGv25+wQlmVPGNemWi/+eT85GkoGUoMxjMX3WZMxBkxps9R+XPel0m\navuS7rqmVXhKza/bePxI73r4RAx/yFHD+w6Gy0SbV3UQMiw4QkUqkwu3OQB+32wf+r0aYQvlB1O1\nvytlBu1AQEbWrqlatENdoFy27ylRtncfWLMEptO1gmat9hLVZaLt9AwGmcGAKf+gPSrhvUxC1+HE\nyBAHthxAf3qvHV/8prw3GDMBGXmG1ERlFww3h4HwxW+2YVKplCqVWgakE3rTzVXeEXXL2qZSZUXR\nX5xYx78fXKz7+LCARjNMvbWpd7X4TYAXDLZ8ibYRUkGo8iI0EfOmBXgncMfXLPzay6br/r6xz6C3\nQDbcnlQAACAASURBVAQePJU+g15G1HalVzIaqQE/1HQdBIPp1qUh1Ysw4N2A2zmQGITMYCJGQF8q\nEw3NzzPzOSzlowSDIZ9Bo2znUo2hN17Qq03nAU9JsmD3zpfICi3+qZDp/Zrl9nQhdaVCcUxFUxxR\nXSaqj+1ckNHCjpEZDN8LB61v1hZexqxu/7//o3CZaKqegEzUMlHXKzP1lCjbLBMNZQYrxtBiSqsF\nZOL2DC7lHViuxDkhz+iptBnLa6+ibSpmQGyH7qXZpI5cj6+h6jLbcROQkWhdMRgpGPzsZz+Lv/iL\nv8CJEyfwJ3/yJ7j55pvxxBNPdGOMA014I99OmWje8dLq4S9xK5/Boltucg0zkzZLJYZPnlhvKM1b\nbYfQiChiJMuFRsFgc4+8TgkknINexclU/L7Bp07mcNFZEw37J3VNg1vnDlwuE/Xed7WaqJcZVEgn\njEiCQmGvwpThHQTMBJnBJtdTtbVEMJZ2TiTDZTL9wBYSUykzUjColCr5DIa/b5aQkR5fkRnUg5PI\n2u9TokkwXu87dM5UEkeWCy1fv1t4/YLljHIQyK9aAq5UPQvs5TiXiYrK7PygbYQJaQchFRQQSSG9\n+lAym+xPv1cjbKGQMfX6ZaL+/T0sIJOqKpuKU21jCxnqGYx/H5BKYdXvGQwT7KeafRarRRdToSAy\nFTOzdXi5iPPn0hX6D5PJeOJ84Uq5ZMyAOByIT/QhM1itJDtumUGlVHcyg4uLi5iensZ//ud/Ympq\nCr/5m7+Jb3zjG90Y40AT3si3k5Wp9hgEvDLRQlOfwcra8IDptIlVv3fu+dOFhmOJai2RMCJkBgsO\nZtOJmp/rmoZWsaDtSnziRy+0VdZoV4mnTMS8aQHAgZPruOSciYa/904Ea38elIlu8D+3ip5BXStl\nBicanEZWEy73TPmb+9m0CV1vriDmLcKV10Erb8JGFOz2MoO/nM/hG0+ciP+CVThCYTplRCqzVPDK\nGaoFXixXRRLvCGcGg8+uXplos02ArCPDvHUmjReX8i1fv1sUnVBmMKTgF2TIe1Wu6PZJQMbzCOvv\nya0jZMV3MGPSWoLE55fzOXx9X+f30W4RCKlEORCuzQwaHdkCNPN3bQcnyAw27RmUpb+tLhONZzqv\nfDXR9gzf87ZA2m99CaNrGrQWCu2rlsB0KIhMxhSQWbMEZqpafqZS8SqunNDBQFxBRcst92tmkp1d\nQ+3geU2Pb2awawIyhw8fxpVXXomDBw/isssuw8UXX4yjR492Y4wDTUVm0IiflanXc9fKZzAcgIaZ\nThlYKbpYLLhYLrqNxS+kauknAkTLdDYuE22dGTy6amGl6OJULr65qFciV56DqVS8coaiK3FoqYhX\nnZVt+De6rsGt83kGwUTwvit6BrVyD1UmYUTarFb3DAIo9Qy2UhOt7v00284MShh6/AVsteji+Grn\n5rBxMoPSF2/x3qs33iAwiJ0ZbFIm2lxAprbZ+ryZFF5aKvQsQCmKcllQZTDofQ96dTovVe8CzzD3\n7z+JX57M9fx1w1T37aYTOnsGSWyOrBSxXOxdiXkrHOFt6pOG3rL1xa36DmSTnWXH73v8OO5/cr5r\nAaHjK3w27xn07pXhgCQgqmWYVAqOLwYX12MvYLVOv2BAKw2BVcutCOY8QbPoc5h3RI12wlTKxHqc\nMlFRqa4fNzOYDPXw97rCwstMlq/jccsMCqVqXAGqiRQMzs7O4ujRozh06BC2bdtWyhSOOm6oVC9K\nXXc19cosA9PWRpvKRsFgICBz8HTeu/k1+B5KFbFMtIm0PhD0OzYWkGl1H3hppQgAmF+LH0xUS0DP\npA2sRPRZBLz+su2z6bpBQECjxvGgXyyTMJBJ6FU9gxqkX6KXjZgZDNfZB+9pNp2I0DMoa60l2hQx\nKrreqaATs9zPciVO552OF25HKExFzAxK6Ym3mKFgPXhcFAGa+j2D8QVkqr9D2aSBqZQZS32tEyp7\nBvWSDHxwkturk9WgJLXXtiRFR2Kx0N8NtFOlPpht4RFLSD1OrtkDlVEOxDSShtYyu+SKyszgRAeZ\nwdM5B4eXiziybOHBQ8ttPUc1Qelmvf2UVN4aUGEtYVbe16PYOgDe/TgQ9DL9rFLcdXHNqiz1DNNK\nUXSl4GI6tBdLxgxmcrZAtmo/NJkysBpHQEYqmEZgzeAFxFHnwA6tZ9k+lIkG/Z4BwflGv+y2ek3X\nMoPveMc78K1vfQvZbBY7duzA3r17MTk52Y0xDjThzGCijaxMteE84H3pmykTug16/qb9nsHnFwt4\n5aZs3X630uMjCMi0MlvN2QJJQ6+osy6/h9aZwSPLFmbTZsPexmZUf3HD/ZJROHAyh0s2Ny4RBZpb\nSwTzP5dJVGTnAtUvy1XIJIwYAjLlDA8ATKcN/ySw8ePqCciEs2VxyDsS0ykzdmbQM6uXsUt0q3GE\nwmTKiJTZE34gltB1BH9eUiON2HNY2zMYT0BGStRV5N2+IYsjK1bLMXSDsJR40ixv2oLekajKrJ0S\nnFb3um9QKBXr1PpMYFeVlWUSBopOezY3ZHw5uW4PVK+p55+pI2G2zgw6Ve0KXs9ge+/l4cMreO15\n07j518/Fjw8u4dlTnZfdO0L5ZaK1vxNSYSpllsbb0Gcwwppqi7IaZnXlSlRWim5Nv2B4HI2eTimF\nVasyGEzFzMzlHNkgM9hemai3x4yWVQUCq7ByD39/MoPlz17TtLHKDqo61U7V1D+mqOINb3gDXve6\n1yGdTkPXdXzoQx9CNtu4BG9UCGfpTCN+Vma56GLrbLrm5xm/3KjeJlWoBmWiaU9N9PnTBfz3V2zA\nz4/Wl5cXsvUJAOClyZsFg41KRAHvi9QqGHxppYhd503jRFuZQVWR0p9Jl5VUWyGkwtOncnjbxbXe\ngmEaBoOqXGZ71fYZnDuVCj3GVxMVnhdkJGluIctN1/7/z2YSmF+3IWMKyLTK5jai4AjMbMjEvvEF\nBxYLOafhiWYUbCFxdjIJ28+IN7spef16mtfTF5jV+/8fpUSvomewibVEUwGZBmM8f+MEDs8v4dfP\nO/NVEUWnrH6WCsmIr1kC50wmkOvRyWowR0W3djNxpl83roJwtwkyKAGGrsHUdd98OsJNlow9Qios\n5JyW4g29JBBGCtayZrhSVhyMZRJ6W/ceW0j89MgqPnzVVmzIJnDdxWfhwUPLTVs5oj2vQsasfzAr\nlFeRctLfg9i+d3EYQ0ckXYPq1pXApy7OLdGzlai/jhp64yxV0ZXQNa1KTTRez2DeFsgmK9fBlKFB\nQVVUoTTDFRIZM5yd9PoGTb31JNhuuUw0bXpZxXqq3WcKy1U1WeGgbzBTK4sxckgFtJrpyNYS2WwW\nur9LXl5extlnn93J2IaC8KlYOydBSw3UOJspino9f7UfW9r0ShQcobBlOtmwvjwQQGlFK0nlRiWi\ngJdibxYLFhyB1aLAZZsn2iqrs6syg9MxgsGVooukodc0S1fTSM1ThgR4/pdtM9iQLd8pglIOy98Y\nRysTRek0LW3quG7nJqRNvWWPQLi8NCDRxjXoSgUhPeWwuJnBIBg8nXdiPa4axw/ukxG8+rzMbCCW\n443XdqNnpyrVRCt7NcM0E5BptEhtn8vipR5lBsNS4knTW/ilUsjZLs6eTPYwM+jdK3ptqSAVsNZn\nPzNH1Io4ZRL6QPmskcHmdN7BdNqEkKotMbUzgeMbgHsBRaueQVR8BybaFP/Yf3wdW2dS2Djhradn\nTyaw0oUy8EBAplGZ6ETCKJW5N8wMRsj0VwdMccs0Aa+qo9pWIqBZmehK0a0JIhO+2nbUHva8U1sm\nqmmapyga8dAtrCbqjSG6oqgVysxpmteG00tVWkvIGiXZhKGPjYhMq0N4IGIw+OlPfxpHjhwp/Xvf\nvn3453/+585GNwQIWWU6H/NmvlxHTRQIvAbrfxEa9QwCXlD08g2ZpqUNok6/Uz1amc43spUAPLXH\nZt+hIysWtkyncM5kEqfzTuxsllWV0p+NEQzWC6LqYej1TeObnVbpfgDnZQaNaKbzUpaeT9M0/MbL\n57znalGeUt2vBMRTPgvI2wLZhO77EsVbvIpCYWM2gcUOg0Hb33ykzdbBYHDTCgdrQVYsqgBNcPmn\nEzrefcU5dW+CzQVk6mfXt85lcGLN6smmLvwdCOYtZwukE4ZntdKrYFAqTCSjlfh29XWViiUadSYI\nBCPCZNg3WMHPjqyOTd9NO5xct7F5Multfvt0iCCkwr5QJZHtC8gkIojihStbgLJheJxSaaUUHn5x\nBVdunyn9bCZtYqUL32+7JCDTeC1PJwysWm5pXQnTqlev/DrVpu/x1SjXqhRBwxhNykRXLYGZVG0g\nF+VwNcDLDNa+9lTK06KIQrhMFECsPYXtVlo7ZJMG8nbv7qPVrw/EG/+wI9GlnsGf//znOHGiLI38\n2te+Fr/4xS86GdtQ4AoZKhONZy3hSoW8I+vWiKfNxqp0rmxsDTGTMvCKjRm/36neSZiK1CgKeKbz\nzd5PszJRvUWZ6EvLRWydTSFh6JjNmFjIxQsmbLeynCNoEI/SdNyozLaaRj2TzYJpQ/P6ybyewegC\nMtW9f8HrNw0Gpax5H1GkwKspOBKZpOGfZMbPDG6ZTsX+/Kpx/PKclKm3DCqCMk9T0yp6BhOGFunz\nV74aKeD9f6OSzqbWErL+KVo6YWBjNoETa2c+O1jRM2hosIQqbSZ62YAfBIO9VtEUUsXqZzkTVJeJ\nAuXNcC/5j+eXBrJPMWcL/Mt/nYzVzz1unFyzcfZU0hMf6lPf4Om8g+8+dar0b1cqJCNaJFQfrpq6\n12sV53Do4OkCcrbAxWeX+/gnkgZsvye9XTy/RO/QtJlNVDahY7ng1pSIAtEPWItV1UrJNrJK1X1/\nYQytcbnqap3MoDeG6PuBnF2/zH8yFd22K6wmCsQLiKtLdD1F0V5mBmtLhBP6+GQGVeiQvBGRy0TD\nJJNJOE5nG8RhIHwjjFsmulJwMZ0y6m4qM4nGN9Nmwcy1F5+FXS+bQkKvH4gEsvytJGSBKJnB+h6D\nQGufwSMrFrbOeL2SZ08mY4vIWFUGoZqmYTZtYjWComjUOvTGAjKNg+lAQCboGYxyH6nX++c9V2Nf\nIaVU3Qxnq8+sHnlHINOmUa7lSrxsJtVxmajtl9vFyQyG1USLrsRMOpo1hdfv13pMzTL9zUqtz5tJ\n46Xl6MHgvx9cbCt4KDrlzUfKLxMN1OiyifZFHOLiSoXJPmQGpfLU9/rpNejUKSvL9HhTb7sS//OX\nCwMlQBLw3IInAOIOYKA6KJxct3FOkBnsk6Ko5cqK76/tSiR0T8iu1ZpQ7zAzrjXA//PcIv7HKzdU\n7IU0TcN02sRaDJXwamzfB9TQUbf/XvhCYNmEgWW/faSaqKbztqtqMoPdLBMN9hb1qFcmCnjtA1aE\nMbh+iXKqzj4kjm1Xtc1InFJZu6pMs9ffB9utUyZqxvsMf/TcYt+y+53SsYDMpz/9aczPzwMA/vEf\n/7FkNH/69Gm87nWv69IwB5fwhtyr0Y5+4SwVHMxl6wdTnnlx457BekqGAPCyGU/MxHLrS703e2w1\npq6h0KaAjNFCTfSl5SKuuWgjAGDzZBIn1y0A0dVnbaFqvrjTflnJOVPJpo/1lCCjZQaLDbKr9Xo2\nAS8ILjhelqpRQF6NkApmnS9hUHJaj6DZt/p9mLoOK4LxepiC49lgJGI2nAPlzOCDL3QmA+5IT9Lb\n88trPmeBgEw48LWFwkzaxHKEHpMotfFAc0lxocrS09VsnU3hyEoRwEz9P6jiP55fxvlzGbx8QybS\n3wdYrkQm6Bn0BWQCNbpe9q0J6SnB9iMzKJV3/fZSuCaMXTcz2NsT7UCsY92q9QnrN88EwSDLRBsy\nv27jN14+2/QA+ExjubIUEASH2sF1HSUzWL0OZf2+wY0N9jdhDp7OY6Xg4jVbpmp+N50ysVx0Sn2E\ncQl60RutpYEQWDZpeJnBer3jEX0GLSGRDvfLxUwOKOVVdjRSE21WbbVadHHWRO2+J+j3O6u5cDpy\ntsBEUq+bJJhOxesZNNrMDFrVZaK9PlQT9cpEW6vphnnwhWWYuobfvGCu28M744TbZxrRNBj8rd/6\nLSwtLeGLX/wiXvva1+L8888HAExOTmLXrl3dGufAUmE6r7f25Amz1ESAxTMvbtwz2CqYaVQmGrZF\naIXZIphpJiDj3bjqP27NclF0ZWmhOHsyiV/OxzOPtl2JiapAdCZtRmo4b2TNUY2haxBO/WCwYZmo\n7pUqpgwdula/57AaRzbIDDYpE7WFLNlRhGnW59aIvCOQSRh+fXy8xxZdiU0TCdhCouA/TzuEM4ON\nemUDAgGZ8Hu1/Mzg8QjKtFFuekDzuWwWUG7IJHDgRLTrWSqFvCPaKqMrhnpUPBVLDUuFcmawVwup\nUEHPYG9PRIMM75rl9i0I8spEqzKDptEz8R6g7Ce5FuEgrJcopfDsqXzDfi3iff9P5bzMYLaPPYNB\nEFp0BCZTZoWQSqvNfHU2CIBfmRDtvfy/v1rEG3fM1d3TzGSiVfs0Ivh+NhaD89Zyr0zUqZsZi1om\nWh3MxDWezzte20e9gBRofji5agm8YmPtPXAmbWI5wtqStxsfJE2mDBxbjVa55cpKQa041gyWqMxM\n9vr7YNVJMCRi7OmVUig4Eg+/uIKrXz4b6cB5kJBKQW+hJ9o0GLziiisAAKurq3jDG94wFkbzYcJi\nLgldQy7Gondy3cbZk/UXb1PXmvsMtggGG93AREQl0eA5mqkp/v/svWmsZNlVLvidMeaIG3fKubKm\nrHK5ymNhY6CLx2AmM71Hi6ZbxsJIDyFsJCSwsErIchlwV7822O1GbZDp1/3UhRswz9jAE5ZoP+MG\nz6ZcLpssanJVZmVlVmbeIW7MEWfsH/vsiBPn7L3P2hE3B+NekuXKe++JOHHinL3XWt+3vk8lg2wo\nkMGXeh5OtEqzLtSRhovPPNchnROPLE0UoNtLsGtQ/B4yKWdOLREeYzCkwrWZGb3KGoKHTNBGRRPN\nqnbxsFN2C9SY+IzSSqWULBybKFpyEZkTreWScj+RlS6TZgbTNFGODEZolpm3XhzHShp0TBVQUnR2\nVU0VRquhbWJjP0IUgyx+lI70zCDAko+doY9bWiVU3OuHTvGZweF1TmTDiKHBg2kI5EGFwvjsuQOs\nlW3cd3Q5P9w4jpmATObZvd4CMsNEZOFGK6tm4+qA2SVs191vOWQwimP8xy9fwptfc1QoqnFYsT/y\nUXctuLZ53enF6ZgVg0GEemlxFrbQWiKUIYPFn+Vyf4qdoY/7T4jzxlbJIhUzsvAitq/I9tIwYQnV\nLAt7Q19CE6U1dacpdWcApHnLdPSnARoKhXNW0Ip/x71ls7FWobFlREqiPNh+RvN79DMzg3XXwufO\ndVGyTNyxUVHuy1mF+Kp7fb0GmYBMxlrCpqO7fsSakyXbxLO745UtUa53MMaV+m9IpMKf+qmf+rYr\nBIHFeS/dea2XetMFj7p0qOaVwlhMK0yHrJCLYhpFElB/nl5CR1OpasouxTiz8GzXXOwO9RRFRfxu\najFIRQZNhYCMrOvDaKLhzBqCcj+I0AVA3QkMQrHojG0a2vM5I5+piOkMm/PwEjntjaqz0tygl3SX\nS7ZZiKpwJU9W+M6RwZpjwTRQuHjLlECzYSkKa/YciY9rlCyy+hovoJYpBtMzgwDbhPaGXmpmUF0c\n/G+ff1F7RjQbccyomjdCTTSKgVbZWdpr8HLfw7nOZOn3D2PAQF598HqrQnKa6I1WVs3G07sj3LVZ\nXdr79EbG8/tjPL07WsoDVyeu9D0cSXKAGz0zCMyLQl4MUgVksntRjeg1OJiG2Kg50jyCIYPL39d+\nwJAqGTLIWSYVx0xmBiXjGlRk0FpExXTW155CSRRgibqswd6diFlaVJX1oQoZ1LKWWFSW/amXb+Le\nIzX85dkd/Jd/2ZUeF8UxwngRYb7eQlxCawmTjmzypvp3nW7h8+dXG5u5EREn+5kqSMVgFEX4xCc+\ngXe+85145pln8Ed/9Ef43Oc+dygneTNHkJr3SienlLg88HBMQutR2QpQaaJhFOcU5vjiRwkVTVQ1\nL8jeX75wZZFN1zbRLNtaxYQX5g1CW2XaxhFJkLhsyPyFIkUxaZmM7uFaphLZm71WHCdUlfzvVDOD\n6ZmOhXO29O5BIFETtU1tWkuQGMQ7piEsBvlnowQX4igT5mZEyOA0ZMP7ZUIxWYQc8igSkJHNjbL5\nuZCUQPBNdmlkMNWJLlkmdof+bGZwmvgOyuKFg/HKSESYCFJVneLrLosvnO/iD7/wonbSF0YxWhW6\nuIHo+IPx8g0Mds/qiX9di+ANhRutrJqNp3eGuHurSm6K3Uzx2MU+LNPAzvDaFoOXE/EY4PrPSKVj\nThPlxSATXqEKyIiQQUoin7UiyEarRLeMEr9+BMc2WD4lmxk0DdSSmUFRU5ZMEw3jjM+gHjKoEo8B\nuHq2mOran4ZCVHGtQi0GmW6AKJq6AjLmYkH3Pbeu4UfOrKOjQCh5IZ3el2vO9bNHAuTWEtQG+diP\nUHYsvOZ4A8/tj9FZYW+5ERGjWFiPVAz+2Z/9GT75yU/i3Llz8H0fk8kEf/d3f3cY53hTR3reyzHp\nw6ZDL4QXRNKCSk3RLEb3TMNIZtYyxxLFM4CksJAkk6p5QYB1GGSJqEgN9VjDTUQ3aCHq4lD58RSa\nLSBXEQsV6KplGBgHnJpSvIlwiqioOFEig5KCdhnT+XGw3MzgJEEFDcPARs3BXsZe4vPnuvjkU3uF\nrxPF8QxhLxF8kaIIeZoop5mSikk6MqhsyCjQ4ZpLk+MeeCEqjomuZC5GlVBNssWgbWASMLqsmXhM\nyQq0KEH0dGnB2eA0+bItTv4mBQUpwFSJh16I//VzF/DCAX0NCOMYa2V7aXpkEMXYX8HUWiQeA3AB\nmes7M9gq06nJqvAkwmO6EUQxnu9McOdGdak55hsZQRTjG5eH+M5TTVzVVLnWjb2RP5udLzsmxtd5\n7pZHFhnkzVaKabiooKs4JokmWrQXt4jFjCy8MIZrGoUzgxyVzTaYAbqa6CRhBPHQNSzvK2wlAEgL\nWuYtawrzASaqVlyUcHaQKLi1BMW6RqaMXsSay9pKAIwmer1E0ADJzKDGzOM4YKrsJdvE/Sea+Mw3\n9UafbnSEBC0FUjH4D//wD/ihH/qh2b/vu+8+XLp0aaWT+1aI9MygDk30cn+Ko42SFKGQoVIAvZix\nTTN3PlRbBX4OMpSJIYNyhS/TYEm7KETn/7LtGp64QheRyfLLAQ1kkEiVNQ3ZzKB85tA0DEz8ECXb\nlNJM05H15UkHU2SVH+cICN6WJjoNAGNvriZKNagFFje/zaqbQwYv9qakObIgSapNg1rMxTDN+fMW\nx/HMgJ2CDFLVRFWUW6YmKn8Nqhz30AtxollCd5LfsMMoxv/46XPCAXampJmX8WbvzTZ11QwSv690\nvm9RBMmchGzW8z9++RLOFjzXkyDCG25p4cdftok/e/wK+b3DCEkRtDwy2FmB2hxI6N1MQOY60kS9\nEEfqLgaHQBP9L0/u4ssXeiu/zqXeFBtVB1XXIiEr/Wlw01BJn7o6xNGmizs3q9hZ0T+1KIJUElx1\nLIyvo8l2OnI00Yghgw7Bbkg4M+jQZohlHrs8VkYGw4gJyChnBhkKBSBXDAA8Fyt+r6wSqK5Vk0pJ\nFJDnAzKKKACsVRzS9Rt58pnBkm3CAPOxLQpZk7qoIZSl2AI3xloi2wzQUUMd+/Pm7BvPrOMblwe4\noNHcvNFBsZYgFYPj8Rj1+nwQ33VdeN617ardDJGe99IR73ip5+GoQvmNdaPEv6Oapos24aggiU2H\nY+WLSR7MY1DRxVLIIIs2gJdv1/DUzohcTItoovUS81YrLMAUxVw6ZEmMqpgwOU3UZshVESoiUmLj\noepI+hluPg9nqZlBJkTiWnqoIi96AQhpolcGHmkhZZTXuV9esc8gu4fT6DeneNAEaGjIoKoZEkVq\nSkWzZJGQmoEX4FizhN40zN0rnbGPicR0mav9pZtJJdtMUDp2LauufDPl9/WqxeAMGRQUnhe7U5zr\njAvfgxfyrzhWx/6IPjscxTHWKvbS9MgwijHwwqVNrT0ZTdS9vnS/oRfiaMNF7xCQwf2Rv5JgB480\nykFBBv/z16/iyR09RelrFV+91MdrjjewXXOvOTKY3suvN6KcDs4ymNNE2b5EockFUb4pUiPSRAMJ\nksSjmSDeyzYKvFSjUW0twc5fOLtPnBnMGsY7mvtpkTWMjKnSm8hnDRslC0OvOCca+uHsGoiiXrJI\nTTcZ7beoIeSnlLF51K6jVy4gLkhdDXSXzwwC7P5/08s28bF/vnrTNLmKgpIXkYrBe+65B2fPngXA\nlEU/+clP4q677lr5BG/myM576VD0LvenONaUF4OyhyeOY4QFiSgPy8z7O+n6DKpmBluKmUFTgWqJ\n0Mlm2cZ23cVze2PSuYkEZEzDQLNsFXbCKAI8gHwTUJmW82NKlqks6HnIOmmAenDdlwjILIUMJoI+\nrqbPYJqmuFaxMfDCWQIQxzGu9D1Sou0FEdzks1CKufT15+g3l6WuOMUWBxFxZlCF9PNZE1nQkUFG\nFS9ZZq6TzlEJ0TlkVdsAVgw2Stbss1VseVHCX3PV2TauTiyak/vCC12YRrHH3DSIZzSnRskiqd/x\n925pKLdmg58X9f2y4UvQ+Yp9nWmifoQjDZdESy6K3iQ8FCGaNMpBodmN/PBQCuhpEOGl/nTp48d+\niKd3RnjF0To2agxVuZYU1zRLhrJ2XauYJNY8aZooE5BR0+RkM+9VxyTNe7H9T56QWKaBmmuS7u0X\nOpPcflloLRFxawl2r4qaOzJV8Wz0JovInmPq7acDL0RdVQxKPkNPoUJKzYlGntqrleo1yIp7CWNJ\niQzGAmTQvG5CXHEcM9P7TEHqWAZ5lGISsJlBHvefaKBkm/jC+e6hnuu1CoqWAql0eOtb34pzHTa3\nywAAIABJREFU584BAD7wgQ+g2+3irW9966rnd1NHdt6Lyi0HgJf6Ho7WxUqigFoN1DRAp7lli0Gd\nmUHF5zkYB2irikEFKiajud57pIazVwakcxNZSwA0qqjOzKB4A5Gjq/x1GU20WJKaWUTIfYWkNNFI\n3FF1NBVtAZZMVhN5cx2UZOKHswXcMg0ca5RwqccSsYNxAC+M6Mhg8l2WScjg/B7mDQuuakpCBiO5\nYXw6VM0Qlek8kCiKEvyxBl6IhmsL71uOSgjnVgVNBNcyFuTFKcigF4iRb6rvZ5TML5eTwpPPlYz9\nEI9f6uPeI/XC5sQk8eUExAiz8H3jGHEMNMs0BFYUfC3cX5Iq6keRENWvXmcVvDRNlCrYJIvuNDiU\n2cP+dC51T9kXJ0F0KKI7T1wd4i+/sbP08S/1mN1TLaG3rlVs7F5DEZlwoRi8ccjgNFMMBgnzoAgZ\n5GMO2SSSm84XhaoZyoPqH/yfHr2EZ3cW8wcu8iSliSYjI3xeTmwtQbt/Y8QLM4M6tgQAe47rKpqo\nZHSop6CJAsBa2SmcGxwqaKIAUCc2NwOB1Q5AoIkKWBZlh+Ujq65plGC3uJFvsGo0yJnP8vz7NwwD\nP3xmHV+92D/EM712EcXFxR6pGDx69Cje97734cEHH8SDDz6I97///Thx4sQhnOLNG9mEjMovjuIY\nl/ueEhlUSiFrzPxlX0PneBWydTAJ0FLSRFUeeYDIV/W+o3WcvTIkDSpPgzjXxQFoIjIRtRhUIIMq\nARmAbSq2WewzKEP42GvJi0kVHUNbQMZng898LabSGrI+d6fWyrhwwIrBKwOP/Dx44XwDSRdz3UmA\nZ3fz/kbpmU/LZHMZXFCoTFC1jEBriFiKa1l0D5GRwcQwvVXJ37eqYtAXvH8pUeXloZq54N+xKAF/\nameE//OfLpEaA7yx4ljmgq3Hoxf7uHurinbFLkYGw3kStVF1sDsqTr75PVAv2Rh6yxVBYRRjo+Yo\nVe5UIROQcSzWxFnVtoMaQy9Es2QnIj7Lv2cQxRh54aHMHg6mIRpJgu2Ycn80HhM/WpmyDADdcbCS\nAujQX0zIt2vuNZ0bTO/HtevcREjHNIjQqtizWVcqMigr5qim85RisFm20S24J4deiP40xLn9xSaW\nlyCDMnV2zpQqJVRSkYAMZeaVK4Gmi2JmS6BXDNYUBZllQPgcdSUegzxaFGTQV1NU625x0y2KY8QQ\nUw2LikHezE2HaRgrr2nUmAYRSoLvXqdBM84IugHA0UYJO0OPlNPe6IhiKNlOALEYBIDz58/j8ccf\nx/b2Nj772c/iueeeW/kEb+bIUrWoqmmdUYCqY6KievAl1ASqRx57DREySENFAMafF52DF0TwgkhJ\naTANQ/oAhBJqyHbdhWsZeLGrpvmwzyS2YzhcZBAIYrF4h9xfkf1/KfEZLEIGVa9V5DMonhmU24GI\nwg8jxGAJrJEoUJLVs1IzgwBwslWaKcJeHXg40SxLX+v5/fHsb/1wThFJF4NfudDDP57L+/Wk5/Uc\niyWaXhDTZwYj4syggqZbhLA3iDODw4Se0xIgiSqaaCiYNeU0UR4qqXr+kqIE/Avnu4hjYJeQBIcp\nilglVYh/6YUuvut0C7Zi7pjHJDW4vylQpRW+b7IOciXTZehEQRRjq+YsLQGevm/TYRjGdTMQj+N4\n5hFW1/C3FEVvEsA0jENCBvVoooeFDHYnAYZeSBIvEcUo47e2Vb+2c4NBiqXA17Lr1URIxzSIsJZC\nBjkFuhAZFKxDAEjWNuz4qLAYXCMgg/w7Or+/2DycIYMFM4OGweioQmSQsI+nkXAeOgIycczml2vL\nIIPTEM2y/DiKiEwRTZSyn8lQYoBQDAo0IAB2Hy37LOuEaOwI0GN5jFMzg/Pj2b9vFOKvE3EcF7gM\nEovBf/zHf8Tv/u7v4m//9m9xcHCAL37xi/joRz96CKd480aWqueYNJ+2y/0pjjblFFFA/vBQxWNk\nr8HmDVejiXJUUMUv5sIeolDNLb78SB1PFFDUuJKo6P0pxvNhTDSdl3UTFYO2vLNSsmnWEr6EVgHM\nqcCiDdWPImFBbWsax499piTKryVFSpzHJLOAnmqVcSEp5C8PPJxaK0mRtW9cHuAbLzFKj59CWNKm\n88/tj4UJIqNKp5DBKJrZXJQVc3I8YhBnBhUbWJG9S5OocjlIqEEyZLBdsYXfpy/oqN9/ooEHblub\n/Vtlfj6z5MisV/sjH+c7E7xsu4YrBMPtNDuCF+IHYx+9aYjb1yuwBXPL2fBSHVUqTTQ9N00tvPOv\nAWzV3BWQQXkie7084/i94Vhs3nIVr8HuJMDRZPZw1U52fzpH2FgxKL8WcRyzYvAQrhdf+5dFB7Pm\n29t155p6Dab3cyPx67wRXoOTxOZqPjMYrYQMUlEdxhJaHRm8MvBwa7uSKwY5wmkZ4pGLKJULVB1L\nyDai7OO9aYhWpiDTsZaYBBGspBkrC9MQM40mfoSKrSgGy7ZyLjqKY0yCMFfIpIMyviHak3gUzgwK\nrMIAul/lqiEbOxIJo8li4oe578EwDGzV3GvuV3oYEeGQBGQ+8YlP4Ad+4Adm/371q1+NF154YZVz\nu+kjuxBSrSVe6quVRAH5w0NFtQCZmqimtYQgKTiYqOcFATUyqFo0bm2XC5FBrj4oihbBvJ7LSRdF\n0dC57BiA0UQ5VVaVWBXRZGQUlUBCL6Ua5PIY+eHC0LNrGWS61sQPF2iiW3Vn1pW/OvBwslWCL3mt\nIIpn/nA88QBYMeiFTP1MpkSZFpBxTH6+DKGi+gySZgYlz3OciCaoHqNGySpUd0yjOllEe+iFCKIY\n7aojpTdl75u1ioOt2nxdqTomxpJrwTvM2Wv1pRe6uP9kA6daJVwmICLp9ahsW5j4Ec53Jri1XYaR\n8YKUBS/kAY1iMLWO1UvWUl6DQRxjcwVkMIjy3lg8Ko51XTzj+P1jGIwyu0ox2JsE2Kg6cExj5U52\nGimxTTG9jQeXrD8UmugkwHrVWRrNy85ObdVc7AyuD00UACqKOd9rGVkBGX5vF3nPqvYvCqoTKBoq\nPCgzg1f6Hl5+pIaRv0hz5qrLpoRplc4FaiVxMcj3cRXK2RdQNSm2HDwYMqdOShgymP95EboqajSm\ng1kiWEqQgJLbqsSAHAJNVFSMVa/THK0X5D0G+ftTi8Gxvzg2w2Oz5pBYNjc6ouiQBGSuXLmyMCPY\nbrfR739rDE4uG7li0KShMpcHHo7W1cWg1NagAJFIh5AmqnG8bZlCq4yDsa9UEgWK1URlixfbfNUb\nOacEiuLMZhXn9ifKhJKKrso6gsqZweS0uBm7CiEF5EIwPJgkdv7nvuQ4O0HKqMGRQR56UsrhQifT\nNAycaJVw4WCCK30PJ1tleAqaK0dz0nQ7y2SI6nP7Y1iGIUQL0t1cK0lc+fUu2xbJp3AVZJD/RE0T\nZcigqhEwCRiFyTaNHKK9M/SwXXOlCsWUppBKxEGkJhpEMb7yYg9vuKWFI0R6XPq74KbZ5w8mOL1W\nBlDcVY8yKm7rSTFYhEyl50YbJRv9JewQwoQmuj8KZv/+yGOXyc0UL/EwEwUFoT6MGKZmfRouTf5d\nFt1pgEbJQqO8WlEJJMJICTIo8rtNR9bjbpXoTQKc2agsPefHruf8O91OnoNrNfOTKwav032TPYcg\nitEs2bP1lt/bRfuBqgCoEQrbov0PSGiiBGTwaMPFLe3qjJ0CzGfyLYnVFaebA8B//8ojuGO9kvsb\nwzCUYm6AmKrpFBTS6Rh4AeqKuT+Azwzq7wVFyODQU9tKALQmcxAW2GQprsVUYDoPJLOn14EmypBB\nEU2VKfxSZtInQZ4mCrBi8Fr7lR5GyOY900EqBk+ePImLFy/O/v2Vr3wFx44dW+XcbvrIGoYXdT94\nTPxwpl4li8NCBkVqouSZQYmAjKyLko4in0EZskaR85b5ewFsA3rD6Rb+/tl96fGh4v3TIfcZVNBE\nZ8jgvFhRicioTOfZ8XLj+2VUu7LBeO4pZNA2yDODaWsJHqdaZTxxdciU+Mq2tDMaRPGsg5tGBgGW\nSP/LlSHu3q4J0YL09XdMA0NvrkbJaB1FiBxtZlA2L0MRYeJGvaoEt5/ylWpmi8GBj626o1wHihoa\nqsRyriY6//1TV4fYqrvYrrs40nBxhVAMpptL3KfsXGeC021WDDqmqRQ08pLZJP7cVBwLjmUW0j7Z\nM8z+u1GylrJVCKMY7YqDkc9Q2Kd3R/japT4JmQSSmXEZMnid6E0jb97MaSyJkPLoTUK0yvbKRaUX\nRAijuShQkTQ/v06rIoNRHKM3DXHHRnUFZHBxdqrmWjBN41BsO0SRfY5vBE3US4tvpWcGLSMpaCJp\nMazavxjFb3lqIY8mcWbwaN3F6fXqbBYdSHIF20yaUvnj0hZB7aqjFIZT7as9ATLoWuq1Lx0DTy3g\nAnB1cfHYihIZLBidKVISBYo/P8BHV8TnofKsBhKfQUFOeb0UdmUzg1wcjbI2jQMxXXer5mLvW4Em\nelim829+85vxmc98BgDwB3/wB/jSl76En/u5n1v5BG/myM5tcSi9qItISeRk4hVUjzxA3JXXmhmU\nCMikTcJlsSwySJHzZqb18vf/3tvW8I3LQ3QkSV0YqT3ieJiGXLxDajqfEpABihfRos1Q1tGUKRny\nzYyKbowSJVEeushgvhgs4bGLfWw33Nn8ouj8g0iMDAKsqDh7ZYB7t2vCYir9/VmmgZEXzpBimk8h\nzZqlJJmTYCJMxccXzbKl55PWMhv21aGHrQQZXLYppLKW4N9J+vN1xsGMsbBZc9EZ+YUJQBolrzis\niLvcn+JUiyODUM6LTQUqcpsEqmhawGfZmUEuftEq2+iMfTx2sQ/TQCEzYXYOkoYMcP3oTel7iGoM\nLYvehJlmL0u75dFPUEGOvhcpHE+DCJapbpxQYjANUXVMHGsurwA6EiTG27XlaadFkd3PVQrA1yom\nPmvq8bUziuNkj2UKm6oGox9F0oZIlUATVeUCPFplWymMNE48KlsVG7euV2eK1gDfWzhDR9zYXaUx\nzCNrOA8kvtPEe3pY4DEIyH2Hi6i29ZKFaRBJG7MjAjhBaTKr8lrLmHtSimIqoYlSVblXDdnMIEAv\nSLNjMzw2vlWQwRgoehRIxeArXvEKvOc978FP//RP43u+53vw3ve+F/fff/9hnONNG2HGIsE0DCmt\nb/G44gVQphzFkkDa+YkeYO2ZQeK8UjZMhQJXETWkSM6bFVDy9665Fr7zliY+/c2O/P0J18CWfAeq\na8h/nqY9il7jf/nsCzMEVJZQ8uPlyJD4Iuigg1kFLF2T1Wwif3KtjEkQ4WjdhWmwzrKIHuInxSA3\ne00XtiXbRGcc4K6t6iwxSUd6A7dNA0N/3tXj6JQqiub9eHBl1WxzJ61mqoqijSydAJRtE1Ecz1CS\nqwMP23WHNZgE1082M5oOlaJlmAg3TFI+g+mkwDYNtKvF4hlBCqEr2yae2RvhSN2dbayOaUrtaYDE\nniRDz6HMDabR2WUTBr6OrVdsXOl7+JerQ7z6eANXiRu3qiCvE33WVo10McjosvT33Bv6+MMvvjj7\nd3fKhMEaK84e9qeLlLcii51pEC/Mqy0bB5MArYo9a2TozE7zyArIACyZo6LFupGjiRKscYpC12Zl\nktC0+bz2NIhm6tKAmu7I1xFRUOwlVNZKPFxFUxFgFNHtugPTMHB6vYYXu5PZms2ZB2qrLuXbAyhG\nt3vTEM2MEqhrm9IxiWyI7rv8OchmBlE4atIs29LmOGVekTIz6CtoopxqK7uG01DMNmuWV1NIpsY0\niFGSNjVoLI+xHy001nlsJTODN7u9xKEhg7/xG7+BJ598Em9605vw8z//87j99tsP5QRv5mBdscXL\nQxkapnT1VynEVK+hNTNoilXgKNQOlcdcUTFWJOcdRnKjdh7/5vY2/unFnvABpKqJWoY4EQ8VpvP8\nYZohg5IF8OrAw9krg8QiQqUgxuZEs6HqBhYpwKVjnPEXYsggXUAm682zXrFRdS0cSQSSHAlVJkjM\nZEd+BD9anBco2yaONpjxc9m2cuhcupizE5oo5/tXFKIps+Mj2syglXTGRVRrCrJ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jAAAg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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10c790350>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daily_plot = daily_count['Number_of_tweets'].plot(kind='line', lw=1, alpha=0.75, legend=True, x_compat=True)\n",
    "\n",
    "daily_plot.set_xlabel('Month', weight='bold', labelpad=15)    #SET X-AXIS LABEL; ADD PADDING TO TOP OF LABEL\n",
    "daily_plot.set_ylabel('# Tweets (Messages)', weight='bold', labelpad=15) #SET Y-AXIS LABEL; ADD PADDING TO RIGHT OF LABEL\n",
    "\n",
    "xticks(fontsize = 9, rotation = -30, ha =\"left\")  #SET FONT PROPERTIES OF X-AXIS TICK LABELS\n",
    "yticks(fontsize = 9)                              #SET FONT PROPERTIES OF Y-AXIS TICK LABELS\n",
    "daily_plot.legend_ = None\n",
    "daily_plot.tick_params(axis='x', pad=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.axis.XTick at 0x115cc3e90>,\n",
       "  <matplotlib.axis.XTick at 0x10d71f650>,\n",
       "  <matplotlib.axis.XTick at 0x116f1bb50>,\n",
       "  <matplotlib.axis.XTick at 0x116eaa090>,\n",
       "  <matplotlib.axis.XTick at 0x116eaa810>,\n",
       "  <matplotlib.axis.XTick at 0x116eaaf90>,\n",
       "  <matplotlib.axis.XTick at 0x116eb3750>],\n",
       " <a list of 7 Text xticklabel objects>)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10fd794d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "day_of_week_plot = weekday_count['Number_of_tweets'].plot(kind='bar')\n",
    "xticks(np.arange(7), weekday_count['day'], rotation = 0, fontsize = 9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Try Matplotlib's ggplot style"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Matplotlib 1.4 also comes with five different built-in styles. Let's try them all out."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'dark_background', u'bmh', u'grayscale', u'ggplot', u'fivethirtyeight']"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mpl.style.available"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "<br>First, let's run it in <i>dark_background</i> style. We only have to run the following line of code and then all subsequent plots will be run in this style."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mpl.style.use('dark_background')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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W1Ik9gy3aM6gaOuyMBTuTibZnUFHg2g6E5+YGk0SlaFpNO5r6F8zHwV2vA5jI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vOE9adtJ9f+8QeE5znrda8mF91wnfBv3v2VvyJ6KiX+nS5/JckUC8fku4r+M/M58jtfvKPrmrD+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32NnZwcXFReaKW9adY22fPn3w3nvvAQDi4uKwa9cuAHUruP3795ezzBZ1r5n4+PgAAJydnbFx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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11773cc90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daily_plot = daily_count['Number_of_tweets'].plot(kind='line', lw=1, alpha=0.75, legend=True, x_compat=True)\n",
    "daily_plot.set_xlabel('Month', weight='bold', labelpad=15)    #SET X-AXIS LABEL; ADD PADDING TO TOP OF LABEL\n",
    "daily_plot.set_ylabel('# Tweets (Messages)', weight='bold', labelpad=15) #SET Y-AXIS LABEL; ADD PADDING TO RIGHT OF LABEL\n",
    "xticks(fontsize = 9, rotation = -30, ha =\"left\")  #SET FONT PROPERTIES OF X-AXIS TICK LABELS\n",
    "yticks(fontsize = 9)                              #SET FONT PROPERTIES OF Y-AXIS TICK LABELS\n",
    "daily_plot.legend_ = None\n",
    "daily_plot.tick_params(axis='x', pad=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.axis.XTick at 0x11748cd90>,\n",
       "  <matplotlib.axis.XTick at 0x117a58810>,\n",
       "  <matplotlib.axis.XTick at 0x117e1ba10>,\n",
       "  <matplotlib.axis.XTick at 0x117e42f10>,\n",
       "  <matplotlib.axis.XTick at 0x117e856d0>,\n",
       "  <matplotlib.axis.XTick at 0x117e85e50>,\n",
       "  <matplotlib.axis.XTick at 0x117e8e610>],\n",
       " <a list of 7 Text xticklabel objects>)"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1179e7110>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "day_of_week_plot = weekday_count['Number_of_tweets'].plot(kind='bar')\n",
    "xticks(np.arange(7), weekday_count['day'], rotation = 0, fontsize = 9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>Now let's run it in <i>bmh</i> style"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mpl.style.use('bmh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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mN+PJJ5/Ezp07ccEFF7gD1nVs3boVO3bswM0339z1MYwqliORMHTEjA7SRMewZlBIBVN3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5ms1lx0FQtqkhAlksGLORFNlEgztcWJlB/FNBU925Ygg7QkStbR5ht4KaXhDgWNAfb+ltAaZPo6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ONu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\n/g9/8FzNSsI0ogAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117bcfb90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daily_plot = daily_count['Number_of_tweets'].plot(kind='line', lw=1, alpha=0.75, legend=True, x_compat=True)\n",
    "daily_plot.set_xlabel('Month', weight='bold', labelpad=15)    #SET X-AXIS LABEL; ADD PADDING TO TOP OF LABEL\n",
    "daily_plot.set_ylabel('# Tweets (Messages)', weight='bold', labelpad=15) #SET Y-AXIS LABEL; ADD PADDING TO RIGHT OF LABEL\n",
    "xticks(fontsize = 9, rotation = -30, ha =\"left\")  #SET FONT PROPERTIES OF X-AXIS TICK LABELS\n",
    "yticks(fontsize = 9)                              #SET FONT PROPERTIES OF Y-AXIS TICK LABELS\n",
    "daily_plot.legend_ = None\n",
    "daily_plot.tick_params(axis='x', pad=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.axis.XTick at 0x115c86790>,\n",
       "  <matplotlib.axis.XTick at 0x115c86190>,\n",
       "  <matplotlib.axis.XTick at 0x1145a2e10>,\n",
       "  <matplotlib.axis.XTick at 0x115caf810>,\n",
       "  <matplotlib.axis.XTick at 0x115cb4610>,\n",
       "  <matplotlib.axis.XTick at 0x115cb4d90>,\n",
       "  <matplotlib.axis.XTick at 0x116e40050>],\n",
       " <a list of 7 Text xticklabel objects>)"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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L09PTk0qlUlcdAACA+gwZ4F61efPmbN26NW1tbVm9enUGBgaSJH19fWltbU21Wq2rvmbN\nmj2wOQAAAI1r2AHu7LPPztVXX52Wlpb09/dn0aJFSZJNmzalpaUllUqlrroABwAAUJ9hBbjTTjst\nTz31VJ566qm0tbVl0qRJaW9vT6VSSWdnZ9avX59qtVpXfVeam5t3y8bVo2ndlhGfczQ17dc0Kvt5\nNOhtY9PfxqW3jU1/2RPs48amvzsMGeDe8573ZObMmZk3b16SHZdAzpgxo/bztra29PX1pVqt1lXf\nlY0bN9a9IW/U4LbBEZ9zNA1uGxyV/Twa9Lax6W/j0tvGpr/sbs3NzfZxA9PfXxsywC1ZsiRr165N\nd3d3fvazn+Vzn/tcOjo60tXVlSRZuHBhkmT79u111QEAAKjPkAHu8MMP/51aV1dXLZC9kToAAADD\n54O8AQAASkKAAwAAKAkBDgAAoCQEOAAAgJIQ4AAAAEpCgAMAACgJAQ4AAKAkBDgAAICSEOAAAABK\nQoADAAAoCQEOAACgJAQ4AACAkhDgAAAASkKAAwAAKAkBDgAAoCSaRnsFAABoLM9vfiUvbN46onM2\nrduSwW2DIzpnkkydsH+mTRg74vOy7xLgAADYrV7YvDXz7l4z2qsxIq48pVWAY0S5hBIAAKAkBDgA\nAICSEOAAAABKQoADAAAoCQEOAACgJAQ4AACAkhDgAAAASkKAAwAAKAkBDgAAoCQEOAAAgJIQ4AAA\nAEpCgAMAACgJAQ4AAKAkBDgAAICSEOAAAABKYsgAd/zxx+ehhx7KFVdcUavNnj07vb296e3tzaxZ\ns153HQAAgOFrGmqBsWPH5itf+UqOPfbYJEmlUklHR0fmzJmTJFm+fHl6enrqrgMAAFCfIQPcihUr\ncuKJJ9a+b2try+rVqzMwMJAk6evrS2tra6rVal31NWvW7IntAQAAaFhDBrjfNnny5PT392fRokVJ\nkk2bNqWlpSWVSqWuugAHAABQn7oD3IYNGzJp0qS0t7enUqmks7Mz69evT7Varau+K83Nza97g16v\npnVbRnzO0dS0X9Oo7OfRoLeNTX8bl942Nv1tbPtSf/e13o4m+3mHYQW4SqVS+7qvry8zZsyofd/W\n1pa+vr5Uq9W66ruycePGYW/A7jK4bXDE5xxNg9sGR2U/jwa9bWz627j0trHpb2Pbl/q7r/V2tDQ3\nN9vP/2fIAPfFL34xJ598cqZNm5aJEyfm3HPPTUdHR7q6upIkCxcuTJJs3769rjoAAFAuz29+JS9s\n3jri8zat2zIqLwxMnbB/pk0YO+Lz7sqQAe6KK67Y6SMEkqSrq6sWyN5IHQAAKI8XNm/NvLv3nfey\nuPKU1r0uwPkgbwAAgJIQ4AAAAEpCgAMAACgJAQ4AAKAkBDgAAICSEOAAAABKQoADAAAoCQEOAACg\nJAQ4AACAkhDgAAAASkKAAwAAKAkBDgAAoCQEOAAAgJIQ4AAAAEpCgAMAACgJAQ4AAKAkBDgAAICS\nEOAAAABKQoADAAAoCQEOAACgJAQ4AACAkhDgAAAASkKAAwAAKAkBDgAAoCQEOAAAgJIQ4AAAAEpC\ngAMAACgJAQ4AAKAkBDgAAICSEOAAAABKQoADAAAoCQEOAACgJEYswM2ePTu9vb3p7e3NrFmzRmpa\nAACAhtE0EpNUKpV0dHRkzpw5SZLly5enp6dnJKYGAABoGCNyBq6trS2rV6/OwMBABgYG0tfXl9bW\n1pGYGgAAoGGMyBm4yZMnp7+/P4sWLUqSbNq0KS0tLVmzZs1ITA8AANAQKkmKPT1JW1tbLrzwwrS3\nt6dSqaSzszOXXnpp+vr6fmfZe++9d0+vDgAAwF7t1f9+9ttG5AxcX19fZsyYUfu+ra3tNcNb8vtX\nFAAAYF83IgFu+/bt6ejoSFdXV5Jk4cKFIzEtAABAQxmRSygBAAB443yQNwAAQEkIcAAAACUhwAEA\nAJSEAPcGzZw5M6tXr06SfPKTn8zdd9/9um7nrW99azo7O3fnqvE6nXPOOenu7s5zzz2X+++/PytW\nrNitt/967yPU5wc/+MFO31922WV529vetsvfWbBgQd773vfu9nXR8z3nt4/X7u7uLF68OG9+85v3\n2Jxz587Nhz70oT12+wztiSeeSHd3d7q7u3PaaaftctlPfepTmTx58u/UPe6OvvPOOy8PPPBAVqxY\nkebm5l0u+653vSvveMc73vCcjt/RVU/Pd2VfP35H5F0oG922bdvyzne+8w39YalUKrtxjXgjvvGN\nb+Qb3/hGFi9enPnz52fdunWjvUq8Dv39/Rk3blwGBgaSJFOnTs3TTz89ymvF7vZax+vixYtHe7XY\nw55++umccsopw1r2uuuue826x93R95GPfCTHHnvssJZ997vfnS1btuTJJ5/cw2vFnlRPz3dlXz9+\nnYF7g4qiyNKlS3PWWWflpZdeSpIce+yxWblyZX70ox/l9NNPT7LjTN03v/nN3HHHHXn44Yczbty4\nJDvOCvT29uYLX/hC7TanTZuW22+/PQ888ECuuOKKJMlHP/rRnHXWWUl23Pn/6q/+aiQ3c5/3m2dQ\nXv26Wq3mW9/6Vrq7u3PllVfWfv7JT34yDz/8cHp7e2uh/phjjsmqVatyyy237PSK08UXX5zly5fn\nwQcfTHNzc8aNG5elS5cmSfbff//fOYvE8D377LOZOnVq/vEf/zHTp0/P2LFjc+ihh6anpye9vb05\n4YQTkiRTpkzJfffdl7vuuit/9md/lqLY8ca8XV1dueqqq/LYY4/l5JNPTpIcfPDBueeee7Jy5cqd\nXsG99tpr88ADD9Q+KiVJPv3pT+fBBx+sHcNJMm7cuNx0003p6enJrbfemmTH34uLL744yY77SUdH\nx57dMQ3sNx/Qzz333PT29uaSSy5Jkpx11lm1nl177bV561vfmmTHMXjVVVdl5cqVOe+885Ikhx56\naFauXJmVK1fm85//fJJk7Nix+eEPf5jly5fX7g9JcuKJJ+b73/9+fvrTn+b9739/kh2B4ZBDDkmS\nfP3rX89hhx22h7ecVx9je3p6csMNN9Tqy5cvz3PPPbfTGVmPu3uP/v7+HH/88TvV3vGOd+S73/1u\nHnnkkfz1X/91kuSII47I/Pnzs2DBgixZsqS27KuPx0cffXQWLFiQJDnkkENyxx135J577sldd92V\nxPG7N3mtnr/WcyzPm4dWGK9/nHjiicUXv/jF4qabbire9a53FcuWLSv+/d//vRg/fnzR1NRU3Hff\nfUWSYubMmcW3vvWtIklx2WWXFUcffXTxh3/4h8Wdd95ZJClOOOGEorOzs0hSVCqV2u339vYWSYrx\n48cXt912W5Gk+Pa3v11MnDhx1Le90cfixYuLgw46qEhS3H333bX6q1+ffvrpxbx584okxVVXXVX8\nyZ/8SZGkWLJkSTFu3Lidbmvp0qXFtGnTiv3226949NFHa/WmpqYiSfGZz3ymOOOMM4okxTe/+c1i\nypQpxamnnlqcc845o74fyjra29uLE088sVi+fHnxiU98orjxxhuLJUuWFAcffHAxbty4YunSpUWS\n4sILLyze//73F0mKG264oTjqqKOKJMVDDz1UHHTQQcWMGTOKa6+9tkhSXH311cWRRx5ZVCqVYtmy\nZUWSYsyYMbXj+Df7ev/99xeVSqWYPn36TvefMWPGFEmKf/u3fytaWlqKJMUPf/jDIklxxRVXFG97\n29tGfd+Vcfzm8bp48eJi1qxZRZKip6enSFLMnTu3+NCHPlQkKTo7O4vp06cXSYoFCxYU8+fP3+m2\nzjzzzOJjH/vY79T+5m/+pkhSfOlLX6rd1qvH8MSJE2v3qdmzZxcXXHBBkeR37hvG7hmPP/540d3d\nXXR3dxeHHXZYMXPmzNpx9Fr3jTe/+c1FEo+7e9k48MADi0suuaS4/vrra8fSq38jq9Vq0d3dXVt2\n7ty5xQc/+MGdfv/Vv63vfe97iwULFhRJikMOOaRYtWrVTo/Djt+9Z7xWz1/rOZbnzbseLqHcTebO\nnVv7euvWrXn55ZeTJH19fZkyZUqKosgTTzyRZMerD2PHjs1b3vKWPPLII0mSZ555pvb7Bx54YP72\nb/8227Zty7Rp05IkL7/8crZt25aDDjoolUolv/zlL0dq0/g9Wltbc+aZZ+bkk0/O+PHjs2LFijz+\n+OP57Gc/m8997nOZNGlSFi1alBdffDFjxozJ888/nyS1f5MdrxC9/e1vT1tbW+3M25IlS3L66afn\nyCOPzIUXXjgq29YInn322XzgAx/I17/+9cycOTPbtm3LYYcdlltuuSVJamdCp0+fnptvvjlJdrrE\ncsOGDVm3bl2q1WrGjh2bZEfPX311r6WlJZMnT85LL72USy+9NAsXLswrr7ySyy+/PC0tLXnqqadS\nFEXWrl1bu82mpqZceOGFaWpqylvf+tYccMAB2bBhQ5588sm0tbWltbU1Tz311Ijsn0b3+OOPJ0m2\nbNky5LLd3d07fX/bbbflL//yL2uv9N5zzz2ZPn16fvzjHyfZ+X7S2tqas88+O//7v/9be4W4u7s7\n7e3teeSRR9LT07O7Nonf8Mwzz+x0CeVb3vKW9Pb2Dvl7Hnf3Lr/61a+yYMGCfOxjH8vcuXOzePHi\nTJ06Neeff34GBgZy4IEH7rT8cC+be+ihh2qXzydx/O5FXqvnr8Xz5l1zCeUeMHbs2EyYMCH77bdf\nDj/88Kxfv/41/+j84he/yLvf/e4kyR//8R/X6meffXZWrVqVK664Ilu3bq3Vv//97+ef//mfc+ed\nd+75jWAn27dvT6VSycSJE1Ot7jhsnnjiidx888056aSTcvTRR9dO+z/33HP56le/mqVLl+b8889P\nkgwMDGTq1KkZP358pk+fniSZNGlSzjjjjFx00UV54oknaveR5cuX533ve1/Gjx9fuyyX+j377LM5\n44wzsmLFilQqlQwMDORnP/tZPv7xj+ekk06qHXt9fX056qijkiRvf/vbd3mbTzzxRD7/+c/npJNO\nyhFHHFHrz09+8pMsXLgwSXLSSSdl3bp1tctufvM2TzvttLz88svp6OjY6cHk9ttvz//7f/8vDz74\n4G7bfnb2yiuv1IL4b7+hxW//fS6KIjfeeGMuuuiizJ8/P8mO+8mRRx6ZJDv9f+fLLrssl19+ee2F\ngVd//9lnn82nP/3p3HbbbXtke3h9PO7uXV499pqammqXr8+bNy/f+c530tnZWaslOx6HDzjggNf8\n/ZaWll3O4/jde7xWz1/rOZbnzbvmDNxuVhRFOjo6smzZslQqldr/jSqKYqc/REVR5MUXX8yTTz6Z\n+++/Pz/5yU9qP7///vtzww035MMf/nD++7//OxMmTMjmzZtz11135ZprrtnpbB8j484770xnZ2ee\nffbZWp/uvvvuvO9970t3d3e2bduWj370o9mwYUMuvfTSHHfccRk7dmzOOeecJMlXv/rV3HXXXfmv\n//qv9Pf3J0k2bdqU/fffP11dXfnpT3+aiRMnJkkGBwfT39+flStXjs7GNoi1a9fmmWeeyS9/+cs8\n9thjmTp1am6//fZcf/31GTt2bB588MFcdNFFWbx4ce64446cc8452bx58y5v8ytf+UpuuOGGvOlN\nb8rTTz+ds88+O8mOd7ycNGlS+vv787WvfS3bt2/P7bffngcffDA9PT21+8yqVaty8cUXZ+bMmXnu\nuecyadKkrF27NqtWrcqf/umf7nRNP7vXypUrc9111+Wwww7LwQcfvNPPfvNvc5Icd9xx+fKXv5wJ\nEybUnsAtXbo03/3ud3Pqqafmf/7nf2q/c88992TZsmVZuXLlTmf7lixZkksuuWSnM+6Mnlf75XF3\n73LbbbdlypQpefHFF2v7eMWKFbn++uvz2GOP7fQi5kMPPZRbb701xx9/fDo6Omp/4y+99NI0NzfX\njrXfPp4Tx+/e5LV6/lrPsTxvHtqoX8dpDG9MnDixuPrqq0d9PYw9P6655prigAMOGPX1MEZmjBkz\npli8ePGor4ex+8ZJJ51UzJ07d9TXw3hjw+Puvjkcv40xGvz4HfUVMIYxPvjBDxZ33nlnccghh4z6\nuhh7bhx88MHFt7/9bW9esg+NWbNmFd/73vdqb55ilH/8/d//fXHLLbcU1Wp11NfFeP3D4+6+ORy/\njTEa/fin8WO+AAAAL0lEQVSt/N8XAAAA7OW8iQkAAEBJCHAAAAAlIcABAACUhAAHAABQEgIcAABA\nSfx/1bHsQKr5SlgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117e8e790>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "day_of_week_plot = weekday_count['Number_of_tweets'].plot(kind='bar')\n",
    "xticks(np.arange(7), weekday_count['day'], rotation = 0, fontsize = 9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>Now in <i>grayscale</i> style"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mpl.style.use('grayscale')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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DDz6IN998E9dff7350SXB7XajqKgIfr8fNTU1cLvdcDgciMVi+PjjjzFz5kwAwIwZM7Br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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117758290>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daily_plot = daily_count['Number_of_tweets'].plot(kind='line', lw=1, alpha=0.75, legend=True, x_compat=True)\n",
    "daily_plot.set_xlabel('Month', weight='bold', labelpad=15)    #SET X-AXIS LABEL; ADD PADDING TO TOP OF LABEL\n",
    "daily_plot.set_ylabel('# Tweets (Messages)', weight='bold', labelpad=15) #SET Y-AXIS LABEL; ADD PADDING TO RIGHT OF LABE\n",
    "xticks(fontsize = 9, rotation = -30, ha =\"left\")  #SET FONT PROPERTIES OF X-AXIS TICK LABELS\n",
    "yticks(fontsize = 9)                              #SET FONT PROPERTIES OF Y-AXIS TICK LABELS\n",
    "daily_plot.legend_ = None\n",
    "daily_plot.tick_params(axis='x', pad=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.axis.XTick at 0x117bfa650>,\n",
       "  <matplotlib.axis.XTick at 0x10f3d7b90>,\n",
       "  <matplotlib.axis.XTick at 0x10d0cc610>,\n",
       "  <matplotlib.axis.XTick at 0x10fb9bc50>,\n",
       "  <matplotlib.axis.XTick at 0x112f9db10>,\n",
       "  <matplotlib.axis.XTick at 0x10e151210>,\n",
       "  <matplotlib.axis.XTick at 0x10fd1a390>],\n",
       " <a list of 7 Text xticklabel objects>)"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+fXo+9rGPZenSpbnhhhv6r5ZNmjQpn/nMZzJr1qzcfvvtSZKxY8dm48aNefXV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\nAAAKQoADAAAoCAEOAACgIP4faTWXaFtGL5MAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1179e7ad0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "day_of_week_plot = weekday_count['Number_of_tweets'].plot(kind='bar')\n",
    "xticks(np.arange(7), weekday_count['day'], rotation = 0, fontsize = 9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>And here's <i>ggplot</i> style -- patterned after the popular <i>R</i> plotting package."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mpl.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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JRNMRZaJehqzfDGRsS0lEk8n+et2EEEJIL2K6wSDrBkm/0IqawXe+85247777AACf/exn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\nEKXkCVy9brnt8yU83piATBRKKWMds3UFoebTCob/Mitz+NKXvoS3ve1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rTD0ycMCz5uYn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wdP3gL91COO4wd23jHT20t/42tQr3sLVLEIdfAI1OvfCnUoZTfjSqZ63VDEKuS3RZ6XYTKo93ft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\nhZBlUJIkSZJCyDIoSZIkSSH0F/fFIrGMi96MAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1160f9b10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daily_plot = daily_count['Number_of_tweets'].plot(kind='line', lw=1, alpha=0.75, legend=True, x_compat=True)\n",
    "daily_plot.set_xlabel('Month', weight='bold', labelpad=15)    #SET X-AXIS LABEL; ADD PADDING TO TOP OF LABEL\n",
    "daily_plot.set_ylabel('# Tweets (Messages)', weight='bold', labelpad=15) #SET Y-AXIS LABEL; ADD PADDING TO RIGHT OF LABEL\n",
    "xticks(fontsize = 9, rotation = -30, ha =\"left\")  #SET FONT PROPERTIES OF X-AXIS TICK LABELS\n",
    "yticks(fontsize = 9)                              #SET FONT PROPERTIES OF Y-AXIS TICK LABELS\n",
    "daily_plot.legend_ = None\n",
    "daily_plot.tick_params(axis='x', pad=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.axis.XTick at 0x10d007210>,\n",
       "  <matplotlib.axis.XTick at 0x10d007650>,\n",
       "  <matplotlib.axis.XTick at 0x117ef5e50>,\n",
       "  <matplotlib.axis.XTick at 0x10fd05390>,\n",
       "  <matplotlib.axis.XTick at 0x10fd05b10>,\n",
       "  <matplotlib.axis.XTick at 0x10fd0c2d0>,\n",
       "  <matplotlib.axis.XTick at 0x10fd0ca50>],\n",
       " <a list of 7 Text xticklabel objects>)"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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H8+ijj+aMM87Ipk2b8sADD6S+vj7btm3bo9s94YQTdjv2Hb/7jzda8zfieXP/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\nEWcB+w84iQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1179e7a50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "day_of_week_plot = weekday_count['Number_of_tweets'].plot(kind='bar')\n",
    "xticks(np.arange(7), weekday_count['day'], rotation = 0, fontsize = 9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>Finally, let's run it in <i>fivethirtyeight</i> style, so named after Nate Silver's statistics site http://fivethirtyeight.com/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mpl.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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1axfy+Ty2bt2KqampiMvsTpbszZKVii2RTUVvROcd9wYkpxQ8LhVbzbLPhs20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\nL6o6Za19hoYFNqMjip2bae/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S/XNusmjgYiEFbGzfdWvFFOr5Mnd5FgVbw3il2pF1RNWp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xrb2sXp+5f65fjtOk7fV8Z9Vb3b98qVNgq2hZUTpZ6vlzZ38cDKUe0K4erqKqYmxnHy1GJPFXDP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m8awI3qjp5WyPhc5BL5vGWaH5TqxMtrMlgG0e/QrirDw6L/DPkdtblhg87YUNaeFEWkyzcgeL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\n1GkXERERERERCVLqtIuIiIiIiIgEqf8PTtbh9RDM8MAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10cff96d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "daily_plot = daily_count['Number_of_tweets'].plot(kind='line', lw=1, alpha=0.75, legend=True, x_compat=True)\n",
    "daily_plot.set_xlabel('Month', weight='bold', labelpad=15)    #SET X-AXIS LABEL; ADD PADDING TO TOP OF LABEL\n",
    "daily_plot.set_ylabel('# Tweets (Messages)', weight='bold', labelpad=15) #SET Y-AXIS LABEL; ADD PADDING TO RIGHT OF LABEL\n",
    "xticks(fontsize = 9, rotation = -30, ha =\"left\")  #SET FONT PROPERTIES OF X-AXIS TICK LABELS\n",
    "yticks(fontsize = 9)                              #SET FONT PROPERTIES OF Y-AXIS TICK LABELS\n",
    "daily_plot.legend_ = None\n",
    "daily_plot.tick_params(axis='x', pad=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.axis.XTick at 0x117f16d10>,\n",
       "  <matplotlib.axis.XTick at 0x10daf81d0>,\n",
       "  <matplotlib.axis.XTick at 0x10dc095d0>,\n",
       "  <matplotlib.axis.XTick at 0x10dc30ad0>,\n",
       "  <matplotlib.axis.XTick at 0x10dc3c290>,\n",
       "  <matplotlib.axis.XTick at 0x10dc3ca10>,\n",
       "  <matplotlib.axis.XTick at 0x10dc461d0>],\n",
       " <a list of 7 Text xticklabel objects>)"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x112f66890>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "day_of_week_plot = weekday_count['Number_of_tweets'].plot(kind='bar')\n",
    "xticks(np.arange(7), weekday_count['day'], rotation = 0, fontsize = 9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>OK, we have covered a few important steps in this tutorial. We have created a number of datasets that aggregate the 41 accounts' 2013 tweets by different time periods -- by second, minute, hour, day, month, and date. In so doing, you have been introduced to PANDAS' powerful <i>indexing</i> capabilities. We have also explored additional options and styles for plotting your data. In the next tutorial we will cover various analyses of the hashtags that are included in the collection of tweets."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "\n",
    "For more Notebooks as well as additional Python and Big Data tutorials, please visit http://social-metrics.org or follow me on Twitter <a href='https://twitter.com/gregorysaxton'>@gregorysaxton</a>"
   ]
  }
 ],
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