{
 "metadata": {
  "name": "Tutorial - Account-Level Analyses"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "This is this second 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>. In this second notebook I will show you how to conduct various account-level (organizational-level) analyses of the Twitter data. Essentially, we will be taking the tweet-level data and aggregating to the account level."
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": "Chapter 2: Analyze Twitter Data at the Account (Organization) Level"
    },
    {
     "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>, 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": "heading",
     "level": 3,
     "metadata": {},
     "source": "Import packages and set viewing options"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "import numpy as np\nimport pandas as pd\nfrom pandas import DataFrame\nfrom pandas import Series",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "#Set PANDAS to show all columns in DataFrame\npd.set_option('display.max_columns', None)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "heading",
     "level": 4,
     "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",
     "collapsed": false,
     "input": "import matplotlib.pyplot as plt\nprint matplotlib.__version__",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "1.3.1\n"
      }
     ],
     "prompt_number": 46
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "#NECESSARY FOR XTICKS OPTION, ETC.\nfrom pylab import*",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 39
    },
    {
     "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",
     "collapsed": false,
     "input": "%matplotlib inline  ",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 43
    },
    {
     "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",
     "collapsed": false,
     "input": "import seaborn as sns\nprint sns.__version__",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "0.5.1\n"
      }
     ],
     "prompt_number": 45
    },
    {
     "cell_type": "heading",
     "level": 3,
     "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",
     "collapsed": false,
     "input": "df = pd.read_pickle('CSR tweets - 2013 by 41 accounts.pkl')\nprint len(df)\ndf.head(2)",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "32330\n"
      },
      {
       "html": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\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>306218267737989120.00</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> \u00bfSabes por qu\u00e9 la #vacuna contra la #neumon\u00eda ...</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> M\u00e9xico</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, neumon\u00eda</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<p>2 rows \u00d7 54 columns</p>\n</div>",
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 5,
       "text": "   rowid            query        tweet_id_str               inserted_date  \\\n0  67340   humanavitality  306897327585652736  2014-03-09 13:46:50.222857   \n1  39454  FundacionPfizer  308616393706844160  2014-03-09 13:38:20.679967   \n\n  language coordinates retweeted_status                  created_at  month  \\\n0       en         NaN              NaN  2013-02-27 22:43:19.000000      2   \n1       es         NaN              NaN  2013-03-04 16:34:17.000000      3   \n\n   year                                            content  \\\n0  2013  @louloushive (Tweet 2) We encourage other empl...   \n1  2013  \u00bfSabes por qu\u00e9 la #vacuna contra la #neumon\u00eda ...   \n\n  from_user_screen_name  from_user_id  from_user_followers_count  \\\n0        humanavitality     274041023                       2859   \n1       FundacionPfizer     188384056                       2464   \n\n   from_user_friends_count  from_user_listed_count  \\\n0                      440                      38   \n1                      597                      50   \n\n   from_user_favourites_count  from_user_statuses_count  \\\n0                          25                      1766   \n1                          11                      2400   \n\n                               from_user_description from_user_location  \\\n0  This is the official Twitter account for Human...                NaN   \n1  Noticias sobre Responsabilidad Social y Fundac...             M\u00e9xico   \n\n             from_user_created_at  retweet_count  favorite_count  \\\n0  Tue Mar 29 16:23:02 +0000 2011              0               0   \n1  Wed Sep 08 16:14:11 +0000 2010              1               0   \n\n  entities_urls  entities_urls_count entities_hashtags  \\\n0           NaN                    0               NaN   \n1           NaN                    0  vacuna, neumon\u00eda   \n\n   entities_hashtags_count entities_mentions  entities_mentions_count  \\\n0                        0       louloushive                        1   \n1                        2               NaN                        0   \n\n  in_reply_to_screen_name  in_reply_to_status_id source  \\\n0             louloushive  306218267737989120.00    web   \n1                     NaN                    nan    web   \n\n  entities_expanded_urls  entities_media_count media_expanded_url media_url  \\\n0                    NaN                   nan                NaN       NaN   \n1                    NaN                   nan                NaN       NaN   \n\n  media_type  video_link  photo_link  twitpic  num_characters  num_words  \\\n0        NaN           0           0        0             121         19   \n1        NaN           0           0        0             138         20   \n\n   retweeted_user retweeted_user_description retweeted_user_screen_name  \\\n0             nan                        NaN                        NaN   \n1             nan                        NaN                        NaN   \n\n   retweeted_user_followers_count  retweeted_user_listed_count  \\\n0                             nan                          nan   \n1                             nan                          nan   \n\n   retweeted_user_statuses_count retweeted_user_location  \\\n0                            nan                     NaN   \n1                            nan                     NaN   \n\n  retweeted_tweet_created_at  Fortune_2012_rank Company  CSR_sustainability  \\\n0                        NaN                 79  Humana                   0   \n1                        NaN                 40  Pfizer                   0   \n\n   specific_project_initiative_area  \n0                                 1  \n1                                 1  \n\n[2 rows x 54 columns]"
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "<br>\n\nList all the columns in the DataFrame"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "df.columns",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": "Index([u'rowid', u'query', u'tweet_id_str', u'inserted_date', u'language', u'coordinates', u'retweeted_status', u'created_at', u'month', u'year', u'content', u'from_user_screen_name', u'from_user_id', u'from_user_followers_count', u'from_user_friends_count', u'from_user_listed_count', u'from_user_favourites_count', u'from_user_statuses_count', u'from_user_description', u'from_user_location', u'from_user_created_at', u'retweet_count', u'favorite_count', u'entities_urls', u'entities_urls_count', u'entities_hashtags', u'entities_hashtags_count', u'entities_mentions', u'entities_mentions_count', u'in_reply_to_screen_name', u'in_reply_to_status_id', u'source', u'entities_expanded_urls', u'entities_media_count', u'media_expanded_url', u'media_url', u'media_type', u'video_link', u'photo_link', u'twitpic', u'num_characters', u'num_words', u'retweeted_user', u'retweeted_user_description', u'retweeted_user_screen_name', u'retweeted_user_followers_count', u'retweeted_user_listed_count', u'retweeted_user_statuses_count', u'retweeted_user_location', u'retweeted_tweet_created_at', u'Fortune_2012_rank', u'Company', u'CSR_sustainability', u'specific_project_initiative_area'], dtype='object')"
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "<br> We can use the <i>len</i> function again here to see how many columns there are in the dataframe: 60."
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "len(df.columns)",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": "54"
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": "Number of Accounts in DF"
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "In Chapter 1 we used the <i>unique</i> function to first list all of the unique Twitter accounts represented in our collection of tweets and then provide a count of those accounts. There are 41 separate accounts."
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "pd.unique(df.from_user_screen_name.ravel())",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 8,
       "text": "array(['humanavitality', 'FundacionPfizer', 'Intelinvolved', 'CiscoCSR',\n       'IBMSmartCities', 'citizenIBM', 'BofA_Community', 'PG_CSDW',\n       'mathmovesu', 'PPGIdeascapes', 'gehealthy', 'msftcitizenship',\n       'CiscoEDU', 'DuPont_ability', 'Dell4Good', 'verizongiving',\n       'DellEDU', 'SprintGreenNews', 'TeachingMoney', 'WalmartGreen',\n       'ecomagination', 'WalmartAction', 'Microsoft_Green',\n       'Comcastdreambig', 'DE_Youtility', 'hpglobalcitizen',\n       'CitizenDisney', 'AmgenFoundation', 'ATTAspire', 'AlcoaFoundation',\n       'nikebetterworld', 'HoneywellBuild', 'googlestudents',\n       '3M_FoodSafety', 'HeartRescue', 'EnviroSears', 'ClickToEmpower',\n       'GreenIBM', 'PromesaPepsiCo', 'FordDriveGreen', 'JNJStories'], dtype=object)"
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "<br>Note again how we can use <i>len</i> to find out how many accounts are in the array."
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "len(pd.unique(df.from_user_screen_name.ravel()))",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 9,
       "text": "41"
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "<br>So we know there are 41 <i>accounts</i> in our dataset. But how many <i>companies</i> are controlling these accounts? To answer this question, we can run <i>unique</i> for the Company variable. The result? There are actually only 34 unique companies represented in the dataset. Several of the companies have multiple CSR-related Twitter accounts. We will find out exactly which ones soon. "
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "len(pd.unique(df.Company.ravel()))",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 11,
       "text": "34"
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": "Number of Tweets per Company"
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "Now let's turn to our account-level analyses. 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 an account-level dataset. This process is called <i>aggregation</i> and the output will be a new dataframe with 41 rows -- one per Twitter account.\n\nWe will perform a simple aggregation here -- we are only interested in a count of how many tweets each account has sent over the course of 2013. 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. Second, we are asking for the new dataframe to provide a column called <i>Company</i>; we are using the <i>min</i> (minimum) function here, but that's just one way to approach it -- for each tweet sent by a given company, the length of the company name will be the same, and our function here will grab the \"shortest\" (using the min. function) name. This is just a convenience; we could have easily chosen to return the \"maximum\" value for Company. Similarly, we will include the <i>Description</i> the company has provided for its Twitter account."
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "def f(x):\n     return Series(dict(Number_of_tweets = x['content'].count(), \n                        Company=x['Company'].min(),\n                        Description=x['from_user_description'].min(),\n                        ))",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 115
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "<br>In the following block of code we will now <i>apply</i> the above function to our dataframe. Note the <i>groupby</i> command. This is how we aggregate the data. It is an invaluable function, so I'll provide more details. We are asking PANDAS to create a new dataframe, called <i>account_count</i>, and asking that this new dataframe be based on aggregating our original dataframe by the <i>from_user_screen_name</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 who sent the tweets. We are thus converting our tweet-level dataset with 32,330 rows into an account-level dataset with 41 rows. As you can see in the output, there are 41 observations in this new dataframe -- one per account -- and for each account there is a column showing the name of the Fortune 200 company, the description it created for its Twitter account, and the number of tweets sent over the course of 2013."
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "account_count = df.groupby('from_user_screen_name').apply(f) \nprint len(account_count)\naccount_count",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": "41\n"
      },
      {
       "html": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Company</th>\n      <th>Description</th>\n      <th>Number_of_tweets</th>\n    </tr>\n    <tr>\n      <th>from_user_screen_name</th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>3M_FoodSafety</th>\n      <td>                              3M</td>\n      <td> 3M Food Safety | global manufacturer of innova...</td>\n      <td>  325</td>\n    </tr>\n    <tr>\n      <th>ATTAspire</th>\n      <td>                            AT&amp;T</td>\n      <td>       Inspiring students to achieve their dreams.</td>\n      <td>  336</td>\n    </tr>\n    <tr>\n      <th>AlcoaFoundation</th>\n      <td>                           Alcoa</td>\n      <td> Since 1952, we\u2019ve invested $570 million to imp...</td>\n      <td> 1053</td>\n    </tr>\n    <tr>\n      <th>AmgenFoundation</th>\n      <td>                           Amgen</td>\n      <td> The Amgen Foundation seeks to advance science ...</td>\n      <td>  135</td>\n    </tr>\n    <tr>\n      <th>BofA_Community</th>\n      <td>           Bank of America Corp.</td>\n      <td> We\u2019re connecting local communities to the peop...</td>\n      <td> 1722</td>\n    </tr>\n    <tr>\n      <th>CiscoCSR</th>\n      <td>                   Cisco Systems</td>\n      <td> Sharing stories about how Cisco and our partne...</td>\n      <td> 2511</td>\n    </tr>\n    <tr>\n      <th>CiscoEDU</th>\n      <td>                   Cisco Systems</td>\n      <td> Tweets on the Cisco Connected Learning Experie...</td>\n      <td>  932</td>\n    </tr>\n    <tr>\n      <th>CitizenDisney</th>\n      <td>                     Walt Disney</td>\n      <td> We believe in the power of stories, families a...</td>\n      <td>  211</td>\n    </tr>\n    <tr>\n      <th>ClickToEmpower</th>\n      <td>                        Allstate</td>\n      <td> Click to Empower is a Web initiative of The Al...</td>\n      <td>  149</td>\n    </tr>\n    <tr>\n      <th>Comcastdreambig</th>\n      <td>                         Comcast</td>\n      <td> Comcast empowers communities across the countr...</td>\n      <td>  581</td>\n    </tr>\n    <tr>\n      <th>DE_Youtility</th>\n      <td>                     Duke Energy</td>\n      <td> This profile will retire soon, so head on over...</td>\n      <td>  300</td>\n    </tr>\n    <tr>\n      <th>Dell4Good</th>\n      <td>                            Dell</td>\n      <td> News from Dell corp. responsibility team: sust...</td>\n      <td>  829</td>\n    </tr>\n    <tr>\n      <th>DellEDU</th>\n      <td>                            Dell</td>\n      <td> Connecting with students, educators, school ad...</td>\n      <td> 1108</td>\n    </tr>\n    <tr>\n      <th>DuPont_ability</th>\n      <td>                          DuPont</td>\n      <td> DuPont sustainability news: clean energy, sola...</td>\n      <td> 1509</td>\n    </tr>\n    <tr>\n      <th>EnviroSears</th>\n      <td>                  Sears Holdings</td>\n      <td> Discussing sustainability topics at Sears Hold...</td>\n      <td>   53</td>\n    </tr>\n    <tr>\n      <th>FordDriveGreen</th>\n      <td>                      Ford Motor</td>\n      <td> Ford is committed to affordable, sustainable p...</td>\n      <td>   27</td>\n    </tr>\n    <tr>\n      <th>FundacionPfizer</th>\n      <td>                          Pfizer</td>\n      <td> Noticias sobre Responsabilidad Social y Fundac...</td>\n      <td>  421</td>\n    </tr>\n    <tr>\n      <th>GreenIBM</th>\n      <td> International Business Machines</td>\n      <td> Official Twitter account for IBM Big Green Inn...</td>\n      <td>   81</td>\n    </tr>\n    <tr>\n      <th>HeartRescue</th>\n      <td>                       Medtronic</td>\n      <td> A collaborative effort supported by the Medtro...</td>\n      <td>  322</td>\n    </tr>\n    <tr>\n      <th>HoneywellBuild</th>\n      <td>         Honeywell International</td>\n      <td> Honeywell Building Solutions installs, integra...</td>\n      <td>  242</td>\n    </tr>\n    <tr>\n      <th>IBMSmartCities</th>\n      <td> International Business Machines</td>\n      <td> Official IBM Smarter Cities account. Managed b...</td>\n      <td> 1570</td>\n    </tr>\n    <tr>\n      <th>Intelinvolved</th>\n      <td>                           Intel</td>\n      <td> Connecting &amp; enriching lives worldwide to crea...</td>\n      <td> 1524</td>\n    </tr>\n    <tr>\n      <th>JNJStories</th>\n      <td>               Johnson &amp; Johnson</td>\n      <td> We're tweeting about social good over on @JNJC...</td>\n      <td>    9</td>\n    </tr>\n    <tr>\n      <th>Microsoft_Green</th>\n      <td>                       Microsoft</td>\n      <td> The official Twitter account for Microsoft's E...</td>\n      <td>  436</td>\n    </tr>\n    <tr>\n      <th>PG_CSDW</th>\n      <td>                Procter &amp; Gamble</td>\n      <td> News from P&amp;G's Children\u2019s Safe Drinking Water...</td>\n      <td>  187</td>\n    </tr>\n    <tr>\n      <th>PPGIdeascapes</th>\n      <td>                  PPG Industries</td>\n      <td> PPG Ideascapes provides sustainable building p...</td>\n      <td>  160</td>\n    </tr>\n    <tr>\n      <th>PromesaPepsiCo</th>\n      <td>                         PepsiCo</td>\n      <td> PepsiCo's commitment to the Hispanic community...</td>\n      <td>    7</td>\n    </tr>\n    <tr>\n      <th>SprintGreenNews</th>\n      <td>                   Sprint Nextel</td>\n      <td> News and Information about Sprint's sustainabi...</td>\n      <td>  201</td>\n    </tr>\n    <tr>\n      <th>TeachingMoney</th>\n      <td>           Capital One Financial</td>\n      <td> Teaching Money is a new initiative created to ...</td>\n      <td>  187</td>\n    </tr>\n    <tr>\n      <th>WalmartAction</th>\n      <td>                 Wal-Mart Stores</td>\n      <td> Our Community Action Network works to improve ...</td>\n      <td> 1915</td>\n    </tr>\n    <tr>\n      <th>WalmartGreen</th>\n      <td>                 Wal-Mart Stores</td>\n      <td> Together, we can create a sustainable world &amp; ...</td>\n      <td> 1434</td>\n    </tr>\n    <tr>\n      <th>citizenIBM</th>\n      <td> International Business Machines</td>\n      <td> This official Citizen IBM Twitter feed is admi...</td>\n      <td> 1039</td>\n    </tr>\n    <tr>\n      <th>ecomagination</th>\n      <td>                General Electric</td>\n      <td> A forum for fresh thinking and conversation ab...</td>\n      <td>  594</td>\n    </tr>\n    <tr>\n      <th>gehealthy</th>\n      <td>                General Electric</td>\n      <td> A shared commitment to creating better health ...</td>\n      <td> 2461</td>\n    </tr>\n    <tr>\n      <th>googlestudents</th>\n      <td>                          Google</td>\n      <td> Google news and updates especially for student...</td>\n      <td>  211</td>\n    </tr>\n    <tr>\n      <th>hpglobalcitizen</th>\n      <td>                 Hewlett-Packard</td>\n      <td> HP Living Progress is focused to create a bett...</td>\n      <td>  470</td>\n    </tr>\n    <tr>\n      <th>humanavitality</th>\n      <td>                          Humana</td>\n      <td> This is the official Twitter account for Human...</td>\n      <td>  762</td>\n    </tr>\n    <tr>\n      <th>mathmovesu</th>\n      <td>                        Raytheon</td>\n      <td> We represent the centerpiece citizenship initi...</td>\n      <td> 1146</td>\n    </tr>\n    <tr>\n      <th>msftcitizenship</th>\n      <td>                       Microsoft</td>\n      <td> Sharing stories about how Microsoft and our pa...</td>\n      <td> 2493</td>\n    </tr>\n    <tr>\n      <th>nikebetterworld</th>\n      <td>                            Nike</td>\n      <td> A better world needs the world\u2019s biggest team....</td>\n      <td>  153</td>\n    </tr>\n    <tr>\n      <th>verizongiving</th>\n      <td>          Verizon Communications</td>\n      <td> We are focused on using technology to solve cr...</td>\n      <td> 2524</td>\n    </tr>\n  </tbody>\n</table>\n<p>41 rows \u00d7 3 columns</p>\n</div>",
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 116,
       "text": "                                               Company  \\\nfrom_user_screen_name                                    \n3M_FoodSafety                                       3M   \nATTAspire                                         AT&T   \nAlcoaFoundation                                  Alcoa   \nAmgenFoundation                                  Amgen   \nBofA_Community                   Bank of America Corp.   \nCiscoCSR                                 Cisco Systems   \nCiscoEDU                                 Cisco Systems   \nCitizenDisney                              Walt Disney   \nClickToEmpower                                Allstate   \nComcastdreambig                                Comcast   \nDE_Youtility                               Duke Energy   \nDell4Good                                         Dell   \nDellEDU                                           Dell   \nDuPont_ability                                  DuPont   \nEnviroSears                             Sears Holdings   \nFordDriveGreen                              Ford Motor   \nFundacionPfizer                                 Pfizer   \nGreenIBM               International Business Machines   \nHeartRescue                                  Medtronic   \nHoneywellBuild                 Honeywell International   \nIBMSmartCities         International Business Machines   \nIntelinvolved                                    Intel   \nJNJStories                           Johnson & Johnson   \nMicrosoft_Green                              Microsoft   \nPG_CSDW                               Procter & Gamble   \nPPGIdeascapes                           PPG Industries   \nPromesaPepsiCo                                 PepsiCo   \nSprintGreenNews                          Sprint Nextel   \nTeachingMoney                    Capital One Financial   \nWalmartAction                          Wal-Mart Stores   \nWalmartGreen                           Wal-Mart Stores   \ncitizenIBM             International Business Machines   \necomagination                         General Electric   \ngehealthy                             General Electric   \ngooglestudents                                  Google   \nhpglobalcitizen                        Hewlett-Packard   \nhumanavitality                                  Humana   \nmathmovesu                                    Raytheon   \nmsftcitizenship                              Microsoft   \nnikebetterworld                                   Nike   \nverizongiving                   Verizon Communications   \n\n                                                             Description  \\\nfrom_user_screen_name                                                      \n3M_FoodSafety          3M Food Safety | global manufacturer of innova...   \nATTAspire                    Inspiring students to achieve their dreams.   \nAlcoaFoundation        Since 1952, we\u2019ve invested $570 million to imp...   \nAmgenFoundation        The Amgen Foundation seeks to advance science ...   \nBofA_Community         We\u2019re connecting local communities to the peop...   \nCiscoCSR               Sharing stories about how Cisco and our partne...   \nCiscoEDU               Tweets on the Cisco Connected Learning Experie...   \nCitizenDisney          We believe in the power of stories, families a...   \nClickToEmpower         Click to Empower is a Web initiative of The Al...   \nComcastdreambig        Comcast empowers communities across the countr...   \nDE_Youtility           This profile will retire soon, so head on over...   \nDell4Good              News from Dell corp. responsibility team: sust...   \nDellEDU                Connecting with students, educators, school ad...   \nDuPont_ability         DuPont sustainability news: clean energy, sola...   \nEnviroSears            Discussing sustainability topics at Sears Hold...   \nFordDriveGreen         Ford is committed to affordable, sustainable p...   \nFundacionPfizer        Noticias sobre Responsabilidad Social y Fundac...   \nGreenIBM               Official Twitter account for IBM Big Green Inn...   \nHeartRescue            A collaborative effort supported by the Medtro...   \nHoneywellBuild         Honeywell Building Solutions installs, integra...   \nIBMSmartCities         Official IBM Smarter Cities account. Managed b...   \nIntelinvolved          Connecting & enriching lives worldwide to crea...   \nJNJStories             We're tweeting about social good over on @JNJC...   \nMicrosoft_Green        The official Twitter account for Microsoft's E...   \nPG_CSDW                News from P&G's Children\u2019s Safe Drinking Water...   \nPPGIdeascapes          PPG Ideascapes provides sustainable building p...   \nPromesaPepsiCo         PepsiCo's commitment to the Hispanic community...   \nSprintGreenNews        News and Information about Sprint's sustainabi...   \nTeachingMoney          Teaching Money is a new initiative created to ...   \nWalmartAction          Our Community Action Network works to improve ...   \nWalmartGreen           Together, we can create a sustainable world & ...   \ncitizenIBM             This official Citizen IBM Twitter feed is admi...   \necomagination          A forum for fresh thinking and conversation ab...   \ngehealthy              A shared commitment to creating better health ...   \ngooglestudents         Google news and updates especially for student...   \nhpglobalcitizen        HP Living Progress is focused to create a bett...   \nhumanavitality         This is the official Twitter account for Human...   \nmathmovesu             We represent the centerpiece citizenship initi...   \nmsftcitizenship        Sharing stories about how Microsoft and our pa...   \nnikebetterworld        A better world needs the world\u2019s biggest team....   \nverizongiving          We are focused on using technology to solve cr...   \n\n                       Number_of_tweets  \nfrom_user_screen_name                    \n3M_FoodSafety                       325  \nATTAspire                           336  \nAlcoaFoundation                    1053  \nAmgenFoundation                     135  \nBofA_Community                     1722  \nCiscoCSR                           2511  \nCiscoEDU                            932  \nCitizenDisney                       211  \nClickToEmpower                      149  \nComcastdreambig                     581  \nDE_Youtility                        300  \nDell4Good                           829  \nDellEDU                            1108  \nDuPont_ability                     1509  \nEnviroSears                          53  \nFordDriveGreen                       27  \nFundacionPfizer                     421  \nGreenIBM                             81  \nHeartRescue                         322  \nHoneywellBuild                      242  \nIBMSmartCities                     1570  \nIntelinvolved                      1524  \nJNJStories                            9  \nMicrosoft_Green                     436  \nPG_CSDW                             187  \nPPGIdeascapes                       160  \nPromesaPepsiCo                        7  \nSprintGreenNews                     201  \nTeachingMoney                       187  \nWalmartAction                      1915  \nWalmartGreen                       1434  \ncitizenIBM                         1039  \necomagination                       594  \ngehealthy                          2461  \ngooglestudents                      211  \nhpglobalcitizen                     470  \nhumanavitality                      762  \nmathmovesu                         1146  \nmsftcitizenship                    2493  \nnikebetterworld                     153  \nverizongiving                      2524  \n\n[41 rows x 3 columns]"
      }
     ],
     "prompt_number": 116
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "<br>Now that we have our account-level dataframe, we can check which companies are managing multiple Twitter accounts. Note how we again use the <i>groupby</i> function. This time we are performing an aggregation based on the <i>Company</i> column. Don't worry too much about understanding all of the details of this block of code. For now, just try to understand that we are creating a <i>series</i> (think of it as a list, not a dataset) with the number of rows each company has in the account-level dataframe, then converting that series to a dataframe, and then dropping those cases that have only 1 row in the account-level dataframe. You can use this block of code as a template for any similar \"duplicate checks\" you wish to find in your own data.\n\nWhat do we find? 5 of the companies have 2 Twitter accounts and 1 has 3. There are thus 41 separate CSR-related Twitter accounts run by 34 companies. "
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "counts = account_count.groupby('Company').size()  #create a series of number of rows per company\ndf2 = pd.DataFrame(counts, columns = ['size'])    #convert series to a dataframe\ndf2 = df2[df2['size']>1]                           #keep only those cases with more than one row in account-level dataframe\ndf2                                               #show dataframe",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>size</th>\n    </tr>\n    <tr>\n      <th>Company</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Cisco Systems</th>\n      <td> 2</td>\n    </tr>\n    <tr>\n      <th>Dell</th>\n      <td> 2</td>\n    </tr>\n    <tr>\n      <th>General Electric</th>\n      <td> 2</td>\n    </tr>\n    <tr>\n      <th>International Business Machines</th>\n      <td> 3</td>\n    </tr>\n    <tr>\n      <th>Microsoft</th>\n      <td> 2</td>\n    </tr>\n    <tr>\n      <th>Wal-Mart Stores</th>\n      <td> 2</td>\n    </tr>\n  </tbody>\n</table>\n<p>6 rows \u00d7 1 columns</p>\n</div>",
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 32,
       "text": "                                 size\nCompany                              \nCisco Systems                       2\nDell                                2\nGeneral Electric                    2\nInternational Business Machines     3\nMicrosoft                           2\nWal-Mart Stores                     2\n\n[6 rows x 1 columns]"
      }
     ],
     "prompt_number": 32
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": "Output account-level data to CSV file"
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "We now have the first meaningful pieces of information for our report. Let's output <i>account_count</i> to a CSV file. This will give us a file with the four columns shown above: <i>from_user_screen_name, Company, Description</i>, and <i>Number_of_tweets</i>. This table will make for a useful appendix to our research paper. "
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "account_count.to_csv('Number of Tweets per Account.csv')",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 33
    },
    {
     "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, to_csv</i>, and <i>to_pickle</i>."
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": "Graphing our account-level data"
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "We will now do a simple bar graph of the number of tweets sent by each account. First, we will sort the dataframe."
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "To access the help for any function we can use \"?\" "
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "DataFrame.sort?",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 64
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "Let's sort the data in descending order by number of tweets"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "account_count = account_count.sort(['Number_of_tweets'], ascending=False)\naccount_count",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Company</th>\n      <th>Description</th>\n      <th>Number_of_tweets</th>\n    </tr>\n    <tr>\n      <th>from_user_screen_name</th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>verizongiving</th>\n      <td>          Verizon Communications</td>\n      <td> We are focused on using technology to solve cr...</td>\n      <td> 2524</td>\n    </tr>\n    <tr>\n      <th>CiscoCSR</th>\n      <td>                   Cisco Systems</td>\n      <td> Sharing stories about how Cisco and our partne...</td>\n      <td> 2511</td>\n    </tr>\n    <tr>\n      <th>msftcitizenship</th>\n      <td>                       Microsoft</td>\n      <td> Sharing stories about how Microsoft and our pa...</td>\n      <td> 2493</td>\n    </tr>\n    <tr>\n      <th>gehealthy</th>\n      <td>                General Electric</td>\n      <td> A shared commitment to creating better health ...</td>\n      <td> 2461</td>\n    </tr>\n    <tr>\n      <th>WalmartAction</th>\n      <td>                 Wal-Mart Stores</td>\n      <td> Our Community Action Network works to improve ...</td>\n      <td> 1915</td>\n    </tr>\n    <tr>\n      <th>BofA_Community</th>\n      <td>           Bank of America Corp.</td>\n      <td> We\u2019re connecting local communities to the peop...</td>\n      <td> 1722</td>\n    </tr>\n    <tr>\n      <th>IBMSmartCities</th>\n      <td> International Business Machines</td>\n      <td> Official IBM Smarter Cities account. Managed b...</td>\n      <td> 1570</td>\n    </tr>\n    <tr>\n      <th>Intelinvolved</th>\n      <td>                           Intel</td>\n      <td> Connecting &amp; enriching lives worldwide to crea...</td>\n      <td> 1524</td>\n    </tr>\n    <tr>\n      <th>DuPont_ability</th>\n      <td>                          DuPont</td>\n      <td> DuPont sustainability news: clean energy, sola...</td>\n      <td> 1509</td>\n    </tr>\n    <tr>\n      <th>WalmartGreen</th>\n      <td>                 Wal-Mart Stores</td>\n      <td> Together, we can create a sustainable world &amp; ...</td>\n      <td> 1434</td>\n    </tr>\n    <tr>\n      <th>mathmovesu</th>\n      <td>                        Raytheon</td>\n      <td> We represent the centerpiece citizenship initi...</td>\n      <td> 1146</td>\n    </tr>\n    <tr>\n      <th>DellEDU</th>\n      <td>                            Dell</td>\n      <td> Connecting with students, educators, school ad...</td>\n      <td> 1108</td>\n    </tr>\n    <tr>\n      <th>AlcoaFoundation</th>\n      <td>                           Alcoa</td>\n      <td> Since 1952, we\u2019ve invested $570 million to imp...</td>\n      <td> 1053</td>\n    </tr>\n    <tr>\n      <th>citizenIBM</th>\n      <td> International Business Machines</td>\n      <td> This official Citizen IBM Twitter feed is admi...</td>\n      <td> 1039</td>\n    </tr>\n    <tr>\n      <th>CiscoEDU</th>\n      <td>                   Cisco Systems</td>\n      <td> Tweets on the Cisco Connected Learning Experie...</td>\n      <td>  932</td>\n    </tr>\n    <tr>\n      <th>Dell4Good</th>\n      <td>                            Dell</td>\n      <td> News from Dell corp. responsibility team: sust...</td>\n      <td>  829</td>\n    </tr>\n    <tr>\n      <th>humanavitality</th>\n      <td>                          Humana</td>\n      <td> This is the official Twitter account for Human...</td>\n      <td>  762</td>\n    </tr>\n    <tr>\n      <th>ecomagination</th>\n      <td>                General Electric</td>\n      <td> A forum for fresh thinking and conversation ab...</td>\n      <td>  594</td>\n    </tr>\n    <tr>\n      <th>Comcastdreambig</th>\n      <td>                         Comcast</td>\n      <td> Comcast empowers communities across the countr...</td>\n      <td>  581</td>\n    </tr>\n    <tr>\n      <th>hpglobalcitizen</th>\n      <td>                 Hewlett-Packard</td>\n      <td> HP Living Progress is focused to create a bett...</td>\n      <td>  470</td>\n    </tr>\n    <tr>\n      <th>Microsoft_Green</th>\n      <td>                       Microsoft</td>\n      <td> The official Twitter account for Microsoft's E...</td>\n      <td>  436</td>\n    </tr>\n    <tr>\n      <th>FundacionPfizer</th>\n      <td>                          Pfizer</td>\n      <td> Noticias sobre Responsabilidad Social y Fundac...</td>\n      <td>  421</td>\n    </tr>\n    <tr>\n      <th>ATTAspire</th>\n      <td>                            AT&amp;T</td>\n      <td>       Inspiring students to achieve their dreams.</td>\n      <td>  336</td>\n    </tr>\n    <tr>\n      <th>3M_FoodSafety</th>\n      <td>                              3M</td>\n      <td> 3M Food Safety | global manufacturer of innova...</td>\n      <td>  325</td>\n    </tr>\n    <tr>\n      <th>HeartRescue</th>\n      <td>                       Medtronic</td>\n      <td> A collaborative effort supported by the Medtro...</td>\n      <td>  322</td>\n    </tr>\n    <tr>\n      <th>DE_Youtility</th>\n      <td>                     Duke Energy</td>\n      <td> This profile will retire soon, so head on over...</td>\n      <td>  300</td>\n    </tr>\n    <tr>\n      <th>HoneywellBuild</th>\n      <td>         Honeywell International</td>\n      <td> Honeywell Building Solutions installs, integra...</td>\n      <td>  242</td>\n    </tr>\n    <tr>\n      <th>googlestudents</th>\n      <td>                          Google</td>\n      <td> Google news and updates especially for student...</td>\n      <td>  211</td>\n    </tr>\n    <tr>\n      <th>CitizenDisney</th>\n      <td>                     Walt Disney</td>\n      <td> We believe in the power of stories, families a...</td>\n      <td>  211</td>\n    </tr>\n    <tr>\n      <th>SprintGreenNews</th>\n      <td>                   Sprint Nextel</td>\n      <td> News and Information about Sprint's sustainabi...</td>\n      <td>  201</td>\n    </tr>\n    <tr>\n      <th>PG_CSDW</th>\n      <td>                Procter &amp; Gamble</td>\n      <td> News from P&amp;G's Children\u2019s Safe Drinking Water...</td>\n      <td>  187</td>\n    </tr>\n    <tr>\n      <th>TeachingMoney</th>\n      <td>           Capital One Financial</td>\n      <td> Teaching Money is a new initiative created to ...</td>\n      <td>  187</td>\n    </tr>\n    <tr>\n      <th>PPGIdeascapes</th>\n      <td>                  PPG Industries</td>\n      <td> PPG Ideascapes provides sustainable building p...</td>\n      <td>  160</td>\n    </tr>\n    <tr>\n      <th>nikebetterworld</th>\n      <td>                            Nike</td>\n      <td> A better world needs the world\u2019s biggest team....</td>\n      <td>  153</td>\n    </tr>\n    <tr>\n      <th>ClickToEmpower</th>\n      <td>                        Allstate</td>\n      <td> Click to Empower is a Web initiative of The Al...</td>\n      <td>  149</td>\n    </tr>\n    <tr>\n      <th>AmgenFoundation</th>\n      <td>                           Amgen</td>\n      <td> The Amgen Foundation seeks to advance science ...</td>\n      <td>  135</td>\n    </tr>\n    <tr>\n      <th>GreenIBM</th>\n      <td> International Business Machines</td>\n      <td> Official Twitter account for IBM Big Green Inn...</td>\n      <td>   81</td>\n    </tr>\n    <tr>\n      <th>EnviroSears</th>\n      <td>                  Sears Holdings</td>\n      <td> Discussing sustainability topics at Sears Hold...</td>\n      <td>   53</td>\n    </tr>\n    <tr>\n      <th>FordDriveGreen</th>\n      <td>                      Ford Motor</td>\n      <td> Ford is committed to affordable, sustainable p...</td>\n      <td>   27</td>\n    </tr>\n    <tr>\n      <th>JNJStories</th>\n      <td>               Johnson &amp; Johnson</td>\n      <td> We're tweeting about social good over on @JNJC...</td>\n      <td>    9</td>\n    </tr>\n    <tr>\n      <th>PromesaPepsiCo</th>\n      <td>                         PepsiCo</td>\n      <td> PepsiCo's commitment to the Hispanic community...</td>\n      <td>    7</td>\n    </tr>\n  </tbody>\n</table>\n<p>41 rows \u00d7 3 columns</p>\n</div>",
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 117,
       "text": "                                               Company  \\\nfrom_user_screen_name                                    \nverizongiving                   Verizon Communications   \nCiscoCSR                                 Cisco Systems   \nmsftcitizenship                              Microsoft   \ngehealthy                             General Electric   \nWalmartAction                          Wal-Mart Stores   \nBofA_Community                   Bank of America Corp.   \nIBMSmartCities         International Business Machines   \nIntelinvolved                                    Intel   \nDuPont_ability                                  DuPont   \nWalmartGreen                           Wal-Mart Stores   \nmathmovesu                                    Raytheon   \nDellEDU                                           Dell   \nAlcoaFoundation                                  Alcoa   \ncitizenIBM             International Business Machines   \nCiscoEDU                                 Cisco Systems   \nDell4Good                                         Dell   \nhumanavitality                                  Humana   \necomagination                         General Electric   \nComcastdreambig                                Comcast   \nhpglobalcitizen                        Hewlett-Packard   \nMicrosoft_Green                              Microsoft   \nFundacionPfizer                                 Pfizer   \nATTAspire                                         AT&T   \n3M_FoodSafety                                       3M   \nHeartRescue                                  Medtronic   \nDE_Youtility                               Duke Energy   \nHoneywellBuild                 Honeywell International   \ngooglestudents                                  Google   \nCitizenDisney                              Walt Disney   \nSprintGreenNews                          Sprint Nextel   \nPG_CSDW                               Procter & Gamble   \nTeachingMoney                    Capital One Financial   \nPPGIdeascapes                           PPG Industries   \nnikebetterworld                                   Nike   \nClickToEmpower                                Allstate   \nAmgenFoundation                                  Amgen   \nGreenIBM               International Business Machines   \nEnviroSears                             Sears Holdings   \nFordDriveGreen                              Ford Motor   \nJNJStories                           Johnson & Johnson   \nPromesaPepsiCo                                 PepsiCo   \n\n                                                             Description  \\\nfrom_user_screen_name                                                      \nverizongiving          We are focused on using technology to solve cr...   \nCiscoCSR               Sharing stories about how Cisco and our partne...   \nmsftcitizenship        Sharing stories about how Microsoft and our pa...   \ngehealthy              A shared commitment to creating better health ...   \nWalmartAction          Our Community Action Network works to improve ...   \nBofA_Community         We\u2019re connecting local communities to the peop...   \nIBMSmartCities         Official IBM Smarter Cities account. Managed b...   \nIntelinvolved          Connecting & enriching lives worldwide to crea...   \nDuPont_ability         DuPont sustainability news: clean energy, sola...   \nWalmartGreen           Together, we can create a sustainable world & ...   \nmathmovesu             We represent the centerpiece citizenship initi...   \nDellEDU                Connecting with students, educators, school ad...   \nAlcoaFoundation        Since 1952, we\u2019ve invested $570 million to imp...   \ncitizenIBM             This official Citizen IBM Twitter feed is admi...   \nCiscoEDU               Tweets on the Cisco Connected Learning Experie...   \nDell4Good              News from Dell corp. responsibility team: sust...   \nhumanavitality         This is the official Twitter account for Human...   \necomagination          A forum for fresh thinking and conversation ab...   \nComcastdreambig        Comcast empowers communities across the countr...   \nhpglobalcitizen        HP Living Progress is focused to create a bett...   \nMicrosoft_Green        The official Twitter account for Microsoft's E...   \nFundacionPfizer        Noticias sobre Responsabilidad Social y Fundac...   \nATTAspire                    Inspiring students to achieve their dreams.   \n3M_FoodSafety          3M Food Safety | global manufacturer of innova...   \nHeartRescue            A collaborative effort supported by the Medtro...   \nDE_Youtility           This profile will retire soon, so head on over...   \nHoneywellBuild         Honeywell Building Solutions installs, integra...   \ngooglestudents         Google news and updates especially for student...   \nCitizenDisney          We believe in the power of stories, families a...   \nSprintGreenNews        News and Information about Sprint's sustainabi...   \nPG_CSDW                News from P&G's Children\u2019s Safe Drinking Water...   \nTeachingMoney          Teaching Money is a new initiative created to ...   \nPPGIdeascapes          PPG Ideascapes provides sustainable building p...   \nnikebetterworld        A better world needs the world\u2019s biggest team....   \nClickToEmpower         Click to Empower is a Web initiative of The Al...   \nAmgenFoundation        The Amgen Foundation seeks to advance science ...   \nGreenIBM               Official Twitter account for IBM Big Green Inn...   \nEnviroSears            Discussing sustainability topics at Sears Hold...   \nFordDriveGreen         Ford is committed to affordable, sustainable p...   \nJNJStories             We're tweeting about social good over on @JNJC...   \nPromesaPepsiCo         PepsiCo's commitment to the Hispanic community...   \n\n                       Number_of_tweets  \nfrom_user_screen_name                    \nverizongiving                      2524  \nCiscoCSR                           2511  \nmsftcitizenship                    2493  \ngehealthy                          2461  \nWalmartAction                      1915  \nBofA_Community                     1722  \nIBMSmartCities                     1570  \nIntelinvolved                      1524  \nDuPont_ability                     1509  \nWalmartGreen                       1434  \nmathmovesu                         1146  \nDellEDU                            1108  \nAlcoaFoundation                    1053  \ncitizenIBM                         1039  \nCiscoEDU                            932  \nDell4Good                           829  \nhumanavitality                      762  \necomagination                       594  \nComcastdreambig                     581  \nhpglobalcitizen                     470  \nMicrosoft_Green                     436  \nFundacionPfizer                     421  \nATTAspire                           336  \n3M_FoodSafety                       325  \nHeartRescue                         322  \nDE_Youtility                        300  \nHoneywellBuild                      242  \ngooglestudents                      211  \nCitizenDisney                       211  \nSprintGreenNews                     201  \nPG_CSDW                             187  \nTeachingMoney                       187  \nPPGIdeascapes                       160  \nnikebetterworld                     153  \nClickToEmpower                      149  \nAmgenFoundation                     135  \nGreenIBM                             81  \nEnviroSears                          53  \nFordDriveGreen                       27  \nJNJStories                            9  \nPromesaPepsiCo                        7  \n\n[41 rows x 3 columns]"
      }
     ],
     "prompt_number": 117
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "<br>We'll also make the default plot larger."
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "plt.rcParams['figure.figsize'] = (20, 10)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 156
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "<br>PANDAS can produce plots quite easily, as you can see in the following example. We're asking PANDAS to plot a bar graph based on the <i>Number_of_tweets</i> column in our account-level dataframe."
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "account_count['Number_of_tweets'].plot(kind='bar')",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 160,
       "text": "<matplotlib.axes.AxesSubplot at 0x12ad45950>"
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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cqCW/paWlyMvLg4aGBpSVlVFdXQ1/f39cvXoVP//8M5UYkoiPj4e7\nuzvU1dUBALm5udi5cycmT55MPdbq1athZWWFSZMmMScCVq1ahU6dOkFLSwvt27dnGgsASkpKYGVl\nBU1NTVhaWuL7779nUsVx8uRJGBsbIzExEQkJCbCzs4OHhweuX79ONQ6XkD158gTp6ekwNjYGIQQx\nMTHo378/1VgcoqOjsWfPHhgYGMDS0hL9+vVjEgcAHB0dkZeXh8GDB0sliSw2sdyEC4hJgUePHkFL\nS4tqrHv37rV6/fbt23B3d8e5c+eoxeLg5eWFW7duoV+/flLfIc1kw9LSEgMGDICysnKr7/v7+1OL\nNXLkSKnXIpEIXbp0wfjx4+Ho6IguXbpQi8X9f69evRq7du3iN7F//vknfHx8qMWRxOHDhxESEgIr\nKysMHToUFhYWmDhxIpN5Ssjx1fx3A8QHOMOGDYOrqyu/ttGAl5cXTp8+zXRuksSWLVvg5uYGLS0t\nZmumSCSClpYWnj17huHDhzOJIQmhyRQPDw/U1dXBwsICZmZm6NSpE5M427Ztg7OzM9zd3QEAgwYN\nwqZNm5h9LiHG8/379yESiVBSUoInT55g/PjxAIDHjx9j5MiRTEgioXIcQExy6evrw9LSkllew2HN\nmjUICQlBdnY23N3dMW3aNGzatAk//fQTtRgJCQnIzMzEkydP8OTJE1y4cAElJSUYMWIERo4cCXt7\ne2qxOPTr1w/btm1DQ0MDT1qyGmOVlZVQUlLC9evXMWvWLKxduxYzZ86kGmPp0qUAgLi4OBQXF8PM\nzAyEEERFRTHZMMvKyiIpKemTRCxtCJG3paSkoGfPnjAxMcF3330HAFKHKiywY8cOhIeHIy0tDRcv\nXsScOXPg4uKCy5cvU48lxLrMQQhilEN0dDS8vLz4Z2HXrl1wcnKCkZER9VgAAPIFYenSpeTdu3f8\n63fv3pGlS5eS0tJSYmxsTCXG5cuXiY6ODpk7dy7R0dEhly5dItOnTyeenp6ksLCQSozm0NfXJ2/e\nvOFfZ2dnE319fSaxfvvtN7Jx40Yybdo04uXlRTIyMpjEIYQQExMTZvf+FBobG8nPP/9M1q9fT/T0\n9MihQ4dIdnY21RhmZmaEEEK8vLxIWFgYIYQQc3NzqjEkYWVlRerq6vjXdXV1xMrKilm8iooKcuXK\nFTJnzhwyd+5cEhgYSCorK6nHMTQ0JE1NTdTv+9+gvLyc2NnZCRaP1fOhr69Pamtrmdybw4ULF4i1\ntTX54YcfyM2bN5k8C/+EsrIycv78ebJmzRom9zcyMvqvrtFEY2MjuXPnDpk4cSKZNGkSOXbsGCkr\nK6MaQ8jxdfjwYXL16lVSWVlJKisrSWBgIDlw4ACJjIwkNjY2VGNZW1tTvd/nwHKulYS+vj4ZPHgw\nmTZtGjE1NeX/scCCBQtISkoKPy81NTVRy6E+hczMTOLl5UWmT59ONmzYQH799VfqMWbPnk0IkZ5v\nufWaJYQYz0uWLJHKQQsLC8nSpUupxuAgZI7DzRfW1tbEysqKn0dYgPsMZ86cIZcuXZK6xgrZ2dnE\nz8+PTJ8+nQwdOpRprPT0dOLl5UUmT55MNm7cSB49ekQ9hqmpKf/sPX36lL/GAtx4/tw1Gti2bRv5\n8ccfyc2bN0lMTAyJiYkhsbGxTGIJkbfV19eT+Ph44uTkRMzNzcnhw4fJn3/+yTQmN5Z8fHzItWvX\nCCGEzJo1i0ksodZlQv4zH167do0cO3aMEMLumTc1NSXFxcX865KSEmaxCCHki6okKigogKqqKv+6\na9euKCgoQJcuXSAvL08lRkBAAKKjo6GsrIz8/HwYGBggMDAQQ4cOpXL/1qCkpIQ+ffrwr9XV1aGk\npMQk1oQJEzBhwgRUVFQgKioKS5YsQa9evTBnzhyYmZlR+x4B8elyWlqaoP3KMjIy6NatG7p27QoZ\nGRmUl5dj7dq10NHRoVZK2qNHD2zbtg0PHjyAvb09amtr0dTUROXeraGiogJVVVV8FUV1dTUqKiqY\nxevUqRMMDAxQW1sLPz8/xMXF4ezZs1i0aBFsbW2pxRkwYACKiorQo0cPavf8b9GhQwfk5eUJEqu6\nulqqVZAm1NXVUVdXx7Q9dcmSJViyZAlycnIQHR3NzxkrV67EkCFDmMXloKysjKVLlyIsLIzJ/QcN\nGoQtW7bwp5WRkZFM56y0tDTcuHEDv/zyCwwMDGBqaoqkpCQsXryY6mcUcnzdu3cPERER/Gtra2uY\nm5vDyckJp0+fphpr6NChWL9+PfT09Pj1SiQSMamoAIBx48Zh//790NfXlxpntFtvWFQafgo1NTX8\n6TIg/v7k5Nimi3379sX69esxdOhQeHp6IjU1FU1NTdi4cSMMDAyoxFBRUUF2djb/OiYmBt26daNy\n709BqPFcUFAg9VlUVVXx9u1baveXhJA5jpKSEqytrWFtbY3Hjx/D0dERe/fuhaGhIVatWiWVG/9b\nyMvLIyIiAmFhYTh58iQA8K0qtJCUlIQnT54gJSUFBQUFUFdXx4gRI3Dw4EFoampSjSWJxsZGZGVl\nISMjAyoqKhg0aBAuXryIwMBAHD16lFqcVatWYdmyZRg1ahSGDx+OnJwcfPPNN9TuL4mamhrk5ORA\nQ0MDgLjLoqamhkmsuro6KCsr4/Hjx1LXWawrQuRtcnJymDx5MiZPnoy6ujpERkbCxsYGa9asgY2N\nDZOYioqKOHXqFMLDwxEQEIDGxkbq44uDUOsyADQ1NaGoqAi3bt3C+vXrqd+/OVRUVPi/P1XBTwtf\nFEk0btw42Nvbw8jICIQQ3L59G2PHjsWHDx+olVa2a9eO/1F69+6Nb7/9lilBBIgf6h9++IEvJ4uJ\nicHQoUNx+/ZtAPQnqbKyMoSFhSE8PByampqYOXMmkpKSEBoaSrV1JDExESEhIVBTU5MaxJKbCZrw\n8/NDWFgYlJWVYWVlBRcXF8jLy6OpqQn6+vrUSKKjR4/it99+w7Jly9C5c2cUFRXB2dmZyr1bg729\nPSwsLDB27FgAwB9//MFM1+nOnTu4efMmsrOzYW5ujuDgYHTt2hU1NTUwMTGhShKVlZXBxMQEw4cP\nl3o+WPRKS/ZnNzU1IT09nXr55vnz51tcKy8vx71795gtyh06dMCsWbOgo6PDf4es9Ko0NDQwffp0\n1NTUICIiAllZWYKQRABQX18vpWtGE3v37sXVq1dx6dIlAOKS7/nz5zOJZWFhASUlJcyZMwdOTk78\nbzZixAjqmjpCji8FBQVER0fD0NAQgHgN41qMaZe2V1VVoUOHDnjw4IHUdVYk0dOnTwGIhc4lQXOt\nBAA1NTUkJiYiOzsblpaWKC0tRXV1NdUYHIQmU9LS0hASEoL4+Hjo6uri9OnT0NLSQmFhIaytramR\nRNu3b8e2bduQmZmJiRMnQk1NDQcPHqRy79Yg5HjW1dXFsmXLYGpqCkIIoqOjMWHCBKoxOBw7dgy/\n/PKLIDlOQ0MD4uPjERISgvz8fNjZ2fFEm729PWJjY6nF2rNnD4KCgrBixQqoq6sjNzcXZmZm1O4P\nAAsXLoSmpiYWL16MGTNmoGPHjlTv3xr27NmD+/fvY/z48Vi5cqVUyyqtscXByMhIKnfS0NBg1p69\nefNm2Nra8nqO+fn52LlzJ5NY+/btY3Lf1iBU3lZbW4v4+HhERUUhPz8ftra2mDFjBtUYkjh69Cgi\nIiKwZ88edOvWDW/fvsWyZcuYxBJqXQaEJUYnTpzYYp7//vvvmcQCvjDh6qamJty+fRtJSUkQiUQY\nNWoUDAwMqCah48eP538cQNwfaGJiwveqsth8ubq6AvhPMk2a9cXu3buXWiwHBwdkZmbC3NwcFhYW\n6N69O/+ehYUFQkJCqMXiKjUkPxcAZgK+3t7esLS0bFUkLT09nWq/e2vJPE3djeYoKirCs2fPAADf\nffcds4TexcUFVlZWrfZGP3z4ELq6utRicSc2kqLcIpGIJ8NoQvJ0SE5ODr1790bPnj2pxvDx8Wkx\nF3Xp0gXa2trMRFu58dp87pg9eza1GDk5OYiKisLdu3fRq1cvGBkZYerUqejQoQO1GBwkRVo5VFRU\nIDo6GqNHj2ZGjtbV1SErKwsA8O2331KtqJREbm5ui3mitWs0IDm+gP88GyzGV05ODnbv3o2UlBQA\n4k2ym5sbevTogRcvXkBbW5t6zC8NPj4+ePnyJbKyshAbG4vCwkKsW7cOgYGB1GPl5ORg27ZtSElJ\nQadOnXgyhdXabGNjAysrKxgYGLQw/wgNDaWuk/Xhwwc0NTUxq8jmIOR4JoQgLi4Of/zxBy9yy2rD\n5+TkBC8vr89eo4Hp06dj7NixmDNnDkaNGiX13q5du7Bt2zZqsR4+fIiRI0cyM6ABxLkaV0n07Nkz\nNDQ0QEtLi9ckYvFsBAcHw9jYuFVCqqKigqowt9B6ZrW1tbypz7fffsus+kbIzyVE3ubk5IT09HRM\nmjQJxsbGzI0DGhoasHTpUiYkzf9tiI2N5Q8ZtLW1mRJ7XxRJJARCQkKkNnqkmaMUzUHcFnj06BF0\ndHQEi5eamorExESIRCJoa2szbeNwdHRscWrIIrERMpkHxORoeHg48vLysHr1arx9+xbFxcVMBE4P\nHDjQ4sTQy8sLTk5O1GMBYiIxJycHurq6qKmpQWNjI5PEvrq6Gh06dICsrCwyMzORlZWFSZMmMSMD\nhARrgmPw4MEYOHAg9PT0+N9G0m2HE5mkAVdX1xZEm7KyMsaNG4cpU6ZQiyOJx48fw9XVFb169QIg\nbuvYt28fEzJl9uzZLZz2aJPzkhDSJUMoCL1JeffuHY4cOYLCwkKcO3cO6enpePLkCebMmUM1jpmZ\nGUJDQ2FhYYHQ0FAAwMyZM6lX3ko6+XCtsKzJlIsXL2LJkiVS1/z8/LB48WKqcXx9fVu9zopcFno8\nC4VZs2bxzyAg3gCamZkhOjqaeqyqqirmzx8HZ2dnPH36FJ07d4a2tjbGjBmD0aNHM3WarKmpwY0b\nN+Dn54e8vDykpqZSjyFkjrhw4UJeHD40NBSEEJiamiIqKopajOaOfqSZ4DKLqlEhPpckhMjbPkWG\nsnIDXbx4MXx8fKiSkp+CUOsyIEzO8ebNGxQXF7c4UEtMTET37t35lkva+KLazYSwvrWwsGhx7f37\n9/jqq6+ol82fOXMG9vb2UlbnHFhVLeno6CA5ORl5eXnMbZH9/Pxw/fp1zJgxA4QQODk5Yc6cOVRb\nliSRnp4u9bqhoYG376aJuLg4PpkHxP37rNoCALEzjIyMDB4/fozVq1ejY8eO8PDwYJKIPnz4sMW1\nX375hQlJFBQUhGvXrqG8vBx37tzB33//DQ8PD/j5+VGPZWNjgytXrqCiogLLly/H0KFDER0djUOH\nDlGNExISAn9/f2RmZgIQu44sWrSIGbksBMHh4OAAQDxPfPjwgb/evOKRBoQs+ZaMee7cOXz77bcA\ngKysLGzcuLHF5u/fICMjA+np6aioqMDt27f5766qqgq1tbXU4khCCJeMtljDhHawcnV1haWlJa9h\n0qdPH6xfv556MtquXTsplxbJsUYTkk4+ioqKTGI0R2hoaAuSKCQkhDpJpKCgwM9JHz9+RHx8PBMX\nPCHHc2vOgRxo57+nTp3C6dOnUVtbKxVXXl4ec+fOpRZHEkVFRXBwcBCE9D1w4AAAsf14bGwsdu7c\niaKiIrx69YpajMrKSiQnJ/PuZqmpqejTpw+mTp3aolKKFrgcMSEhgXmOKISeGefo9ymwIImE1GkT\nIm9LS0ujdq//FgoKCpg5cyYmTJjAE1QsO3CEWJcBYXKOPXv2YOPGjS2uKykpYc+ePUxkAoAvjCQS\nwvrW19cXRkZG6NevH+rq6rBs2TK8fv0asrKyOHjwINUecK79qTWhLVYWhULaIgcHB+PatWt8Cay9\nvT2sra2pk0RCJzZCJfMcnj17JlWSr6ysTF0M7sqVK7h69SpycnKk7Eyrq6v/MUn9NwgICEBwcDD/\nG/Xt2xelpaVMYhFCoKCggODgYMyfPx8//PADdS2Cmzdv4tKlS3B1dYWmpiYIIXj16hW8vLyYEbFC\nEBxr1qyhdq//Bo8ePUJAQABPtPXv3x8LFizgrZ9po6Ghgf/+APFzSHt8ZWVl4f79+6iqqsL9+/f5\n64qKiq0SLDRw8uRJXlMMAEpLS7F48WKqJFFbrGFCiy6XlZXB2NgYZ86cASBeVyTXTlowNDTE9u3b\nUVFRgaCgINy4cYNJwguIT5lXrlwJQ0NDqWSe9uYrMjISkZGRyMvLk9KFq66uZiLI2Vz/Yvny5bCz\ns6MeR8jx/OTJE6r3+yesWLECK1aswMGDB+Ho6ChITCFJ39DQUCQnJ+P169fo0qULFi5ciNGjR1ON\nMWPGDL61zMHBAcOGDWPa3gYIkyNyEELPbN++fWhsbERsbCyMjY2p3vtTEFKnTYi8rTlqamqQnp6O\n3r17Swkj04S+vn6LNYRVHiDUugwIk3MUFxe32mkzePBgpiY7XxRJpKqqypQgAsSnr9zJOTdgHz16\nhDdv3sDZ2ZkqSTRt2jQArVcvscLLly8RHR3NbOA2hySZIvk3TQid2AiZzAPiyU9StLe0tJT6dzlz\n5kxMmjQJhw4dgqOjI1+pp6ioyLuq0Ua7du2k+stZJTUcnjx5goiICOzevRsAqDuOXblyBT4+PlKa\nAzo6OvD29saGDRuYkERCEBwfP35EdHQ0vvrqK0ydOhVnz55FYmIiNDQ0sGrVKqoJR3x8PHbu3AkH\nBwc4ODjwRNuWLVuwbds2Ji1nQ4cOlXI3i4iIoG5WoKenBz09PTx58oQZ6doaWLtkNF/DKisrIRKJ\nmLaPCC26rKioiLKyMv41p+NDG8uXL8dvv/0GRUVFvHnzBuvWrWMmTCyUk8/IkSPRrVs3lJaWws7O\njp9zlZSUmGtkAOIDnMLCQur3FXI8c+1Y79+/b/V9FuPa0dERhYWFyM/Pl8o9WtMq/LcQkvTdu3cv\n1NXVMX/+fIwdO5aJPtCjR48Ey685CJEjchBKHF5WVhZnz54VjCQSUvReiLzt7t272L17N7766ius\nW7cOO3fuhKqqKvLy8uDo6Mhk3ynkXlaodRkQJueorKz85Husqs2BL4wkEsL6tl27dvwE/+uvv8LY\n2BiysrLo168fM3edzMxMnD9/Hvn5+fxEIRKJeLcdmhDSFtnCwgJz5syBvr4+CCG4c+cOLC0tqcfJ\nyMhAv379YGho2Gp7GW1LRCGTeUDcKuXg4ICSkhIcPnwYsbGxWLduHdUYIpEIampq2L59e4sE5/37\n90wS0TFjxuDkyZOoqanBgwcPcOXKFX7TSRtubm44ffo09PT0MGDAAOTk5GDcuHFUY3xKvFxNTY1Z\nO9vFcYAAACAASURBVKIQBIezszPk5eVRU1ODCxcuYMCAAVi4cCGSk5OxefNmqhbnZ8+exYkTJ6RO\nVDQ1NTF06FDs2rWLCUnk4eGBgIAAXnBRW1sbCxYsoBqDa8viKiskwaocW0iXjGfPnmHLli2oqqoC\nAHTq1Am7d+/GsGHDqMfikvmsrCxBHKxcXFywcuVK5ObmYt68eSgtLYW3tzf1OMePH4eFhQUmTpzI\nXwsKCoK1tTX1WEK1dfbu3Ru9e/fGtWvXWujPffz4kTqZKFkF29TUhJKSEv7QjyaEHM8bN27EmTNn\nPrkBu3fvHrVYHLy8vHDr1i3069dP6nSeBUkkJOmbkJCAv/76C4mJiTh69Ciys7PxzTffUJ0/RCKR\n4G3nQuSIHDQ0NODn5yeIOLyuri7OnTsHY2NjqWosFvmokJ9LiLzt6NGjOHfuHCorK2Fra4uIiAio\nq6ujpKQEixcvZkLoZGVl4ciRI0hPT8fHjx8BiMfD3bt3qccSal0GhCEQhw4d2up6f+3aNep7WEl8\nUcLVzV3AONB0/5o7dy527dqFbt26wdDQEDdu3OA3fgYGBlTtODnMnDkT8+fPh5aWFs/+i0QiqpMG\nV+pdXV2N1NRUQWyRAbE9IedGp62tDU1NTeoxtm7dCk9PTyxatKjV978Etf2MjAw8evQIgLg6hXZF\nnb29Pc6cOfNJkoZFItrY2Ijg4GDeynrixImYM2cO01O4Dx8+MLOkbU3E9L9579+gtrYWAQEBUk4I\nCxYsoOoAYmpqisjISDQ0NGDy5MlS1uNmZmYIDw+nFsvQ0BAxMTH/v9/7t2AtInnv3j1MmzatVY0I\nVoYIhBApN1CWLhkzZ86Eu7s7L7qYmJiIHTt2UBddloRQosuA+OQ3KysLTU1NzNzvdHR0oKKigq1b\nt/LmEs0FhP8t2kJDCmipP5eVlcVEf06yLF9OTg5du3Zl8lu1xXgWEgYGBoiIiGDmJCUJzmnvyZMn\n6Ny5M1OnvaqqKiQlJeGPP/5AYmIiysrK8N133/FaRTRw8+ZN+Pn5tdp2bmtry6SiGGCfI3IoLS3F\n8ePH+XVl9OjRcHBwYFJx3lo+yop00NPTw3fffQdtbW1oa2tjwIAB1GNwECJvk1w7mhsg0F5XOMyb\nNw9r167F3r17cerUKYSEhKCxsRHr16+nHgsQZl2WBEsC8d27d1i9ejXk5eV5Uujly5eoq6uDr6+v\nlBM5TXxRlURCnH65ublh7dq1KCsrw+LFi3mCKD4+nhmbJy8vT/3kujk4B6Lm9tLcNZqQLI9WU1Pj\nLelFIhGTqhRPT08A7MmgefPmITAwsNXyclZuAYBYcNbExAQ2NjZM7g+A7+tlQQZ9CrKysjAzM4O2\ntjbzNtLk5GRs3boV1dXV+Pnnn5GamoqgoCB4eHhQi5GRkSF1ki2JnJwcanEk0b59e9jZ2THR3eDA\nlf7Lycm1OOGlXdL+T9oNrHQdhBCRbIvWYpFIBAMDAxgYGDCPJSsrK+XKoa2tzaxlZPDgwVi2bBkc\nHR35tYsVCQuIE8MLFy6goKAAnp6eePPmDbKysjB16lSqcXr06IHjx49j3bp1MDAwwA8//ED1/kDb\naEgBwunPFRcXo3///nwSX1VVhVevXkm1M9FAW4znP/74o9XrLKp71NXVUVdXJwhJJGQFx/z58zFq\n1Choa2vDxsYGPXv2pB6jLdrOAeCbb76BkpISGhoaIBKJ8PbtW35No4mNGzdizJgx8PHxAQBERERg\nw4YNuHjxIvVYQuajUVFRePr0KZKSkrB//368efMGAwcOxIkTJ6jHEiJva2xsxPv37/n9HteuSghh\n1hVTW1sLXV1dAOIq0jVr1mD27NlMSCIh1mVO5+v8+fMtXM9pO/t269YNgYGBfLWjSCTClClTmLuR\nfxEkkZCnXyNGjGi1WmjKlCnUWx24ATx16lQEBARgxowZUosyTTKFa635lMU5zQ1RW5RHc0hOTm7R\nR09rUeYs7oUUkgTECf3JkyeRmZkJfX19GBsbU2/j+JwLHAuC9O7duzhw4ADq6+tx7949vHr1Ct7e\n3kyq2vbs2YOzZ8/yYphDhgz5ZNL9v+Kf7IFpb8DWrl0Lb29vmJqatnpvmhUcf//9Nzw9PUEIQWFh\nIf83AOp6Hzk5OVICt5LIzc2lGouDECKSn/pMHGg+80KS2S9evAAg3qhu374dJiYmAMRjgcXmFRC3\nTBNCsHTpUhw5cgRdunShri8mic2bN0NLS4uf97t37461a9dSJ4kAcWIdEBAAd3d3rF27li/Zp4W2\n0JAChNOfc3d3lxq3CgoKvKU1TQg5njmcPXuWn+tra2vx7NkzaGlpMZEl6NChA2bNmgUdHR3+d2NV\naVZbW4vY2NgWedvq1aupx+LWRZYVxW3Rdu7v7w9fX1907dpVqj2QRSVncXGxVAvnqlWrcOvWLepx\nAHGF79WrV5GYmAiRSIQxY8Zg3rx5TCpGZGVlIScnB1lZWcjIyEBFRQWqqqpUYwiZt1VXV0vtwYQg\ntNu3b4/GxkZoaGjg8uXL6N69OzNjHyHWZW79ZW1OBPynuGLIkCG83AJXWAGwabEEvhCSqLXTL64i\nhvbm6/z58+jUqVMLIeLr16+jurq6hY3rv0HzQXvu3Dmp1yzIFCEsztuiKgUQzrnNyckJXl5en71G\nCxYWFrCwsEBZWRni4uLg5eWFgoICxMXFUYvxuSo9FlVavr6+uH79Ou92p6mpyVTFv/mpGm0nhNra\nWr4iqvkpbEpKCl9RRwNbtmwBAJw+fZp5ZaCzszM/3zYnC2n30f/TqR2rUzchRCRpnjh9DkKS2fv3\n75d67evryzymrKwsnJ2dER0djYULF1JtFWkNubm5OHbsGE8Cs9pccmOrffv22LdvHwICAj5L3v+v\nEFJDChBWf06yulFWVpbJqbmQ45lDc+23goIC3oSBNqZNm4Zp06bxawmLXJvDqlWr0KlTJ2hpaaF9\n+/ZMYnAQoqL4nz4Dq8/n5+eHmJgYZiYjkpgwYQIiIyN5QemYmBhmmpweHh5obGzkOy3CwsLg4eHB\n5LkfPXo0Bg4ciKVLl8LKyoqJA5iQeZvQ+y9A3IlTU1ODrVu34tixY6iqqmqRI9CCEOvyvHnz0NjY\nCEVFReZz/j8VV7BqsQS+EJKISyYGDhxIfVPSHBEREQgKCmpx3dzcHJaWllRJIiEHcVtYnC9evLiF\n5kBr12hBKOe2v/76S+p1Q0MDs2ReEjk5OcjMzMTbt2954pQW2kK3SU5ODp07d5a6xuq369WrF5KS\nkgCICRx/f3/qLW6bNm3iT6ytra2lTrQ9PDyonmZzwvNXrlxpQfB6eXlRJX2FbKnQ1NT8pENFfn4+\nk5hCiEjSFkn/byAEmd2Wem/Gxsbo378/Nm3ahLdv3zKL065dO6mKnpycHCZtOM03PgsXLsTChQup\nxwHEm5XmGlJubm7MNKScnJxw/fp1DBo0CEFBQZg8eTITR1A1NTVcunQJ8+fPByEEV69eZeJg1Rbj\nuTl69uyJjIwMJve2sLBATU0N3r59y7wVvLCwsMUBKSsIUVHcFm3nX3/9tSDabIBYSNfPz4/vSGhq\naoKCggKCgoKoV6o+f/5cak7S0dH55Hf7b3Ho0CEkJSXhypUruHbtGkaOHIkxY8bw7VM0IGTe1hbd\nAcOHDwcgJudZy8MItS7LysoiMjKSOUnUVsUVXwRJxGH//v149+4dDA0NYWxsjIEDB1KP0dDQ0OqD\n1q5dO2Yl7bdu3cL3338PJSUlHD9+HKmpqVi5ciXVQSykxfnHjx9RU1OD0tJSKdvWqqoqJna0HFg7\nt506dQqnT59GbW2tFLEmLy/Pay2wwIEDB3Dnzh2oq6vD2NgYq1atakGu/Fs8evQIOjo6iI2NbZWo\noW2NDIgrBMPDw9HY2Ig3b97A39+fGWHJnT4VFhZi0qRJmDBhArZv384kFgCm7S+SePDgQYvEgnZl\noJCtFYsWLeLJtOaEsoODAxOxRSHczThw7h9//fUXb2vK6pRISDK7vLwcoaGhUi0jrNpTOA06QHxw\nFBAQwDSxWr16NZYvX46///4bmzZtQnJyMlWzDK4F4VObHxbEjVAaUtwYPnToEJycnJg4tUlix44d\n8PT0xMmTJwGIN5WtyRT8WwjZNsJB8nM0NTUhNTWVmU6mkK3gI0eORFpampSjJUuwrij+p7ZzVlBT\nU4OtrS2mTJki5fzMYmMrpNyCnJwcsrOz0adPHwBiIoCV1p2enh709PSQkZGBX375BX5+fjh79iye\nP39OPZYQeVtbdAc0r9RLS0tDYGAg1Uo9DqzXZUmMHj0aO3fubOGyx2L+TUpKwuDBg6GoqIjQ0FCk\npqbC1taWaieCJL4oksjf3x9FRUW4desWtm/fjurqahgaGlK3OH337l0Lgdbi4mJmVQ4nTpyAkZER\nEhMTkZCQADs7O7i7uyM4OJhajMbGRigpKQlicR4YGIhLly6hqKhIqgpBUVGRqfhyWVkZTExMmDm3\nrVixAitWrMDBgwfh6OhI5Z7/DTQ0NBAYGMik/JXDH3/8AR0dHdy/f18wkmj79u04efIk5OXlsXHj\nRnz//ff8CR8LHDp0iNm9hYaQlYFt0VoBiIkHISCEiCSHzZs38+4fZ8+e5d0/aKItyGx7e3uMGDEC\ngwYNgoyMDJP2FI7Izs/Px9u3b3kiViQSMWsBa2pqQkVFBby9vfH06VMA4iocmnMx14Jw6tQpwcjl\nT2lIcSQireT33bt3SE5Oxt27d/n2FEnQTrJVVVVx9OhRqvdsDUK2jXDQ0tLi235lZWVhYmIiRfTR\nhJCt4ImJiQgJCYGamppU3saCaBOiori5K1tpaSkSExPRq1cvZp0QvXr1Qq9evVBfX4/6+nqm7YGA\neG3Ozs7mDzoANgLqzs7OWLx4Mf+d5ufnY8+ePdTjAMCaNWuQmpoKDQ0NaGtr48CBA3xlDC0Imbe1\nRZVv80q9wYMHU6/UA4RZlyWRmpoKADh27JjUdRbfsYeHB8LCwpCWloaLFy/CysoKLi4uuHz5MvVY\nACAiQmUdAuP169f46aefcOvWLaqno6Ghobh06RJcXFz4BObFixc4cOAAbGxsmLRemJubIywsDAcP\nHsTAgQNhZmZG3aLwc/3/LE5i/f39P2lLzwKPHz9u9Tqt0vCMjAz069cPL168aHUBpp3wcnE+teCz\nOkUUAg0NDVi6dKlgC5m+vj7U1NRgZGQEfX19fPXVV9RjjB8/HqampiCEIDo6GiYmJvwGIjo6mren\npYHKykqUl5cLUhkoJCTnveZzIO058c6dO/j777954trKyop3XHJycoKRkRG1WBw4Fy5JS1pWzlxC\nktks3cU4eHt7Y+3atXB1dW11PmR1imhhYdGq1TktcN8dS1275vjcukxrXr516xaCg4ORnJzc6gaZ\n9vy/f/9+ODg4oH379li+fDnS0tKwefNmZo5SrbWI0G4baQvMmTMH169f/0cbbVpoTj5xOU9zsoUG\nSktLsXv3bjx8+BCEEEyYMAFbt26lumba29vD0dERAwcORFFREWbPno1hw4YhJycHc+fOpSpZ0Ryc\nxhjL1rNr167B398fBQUFGDJkCJ4+fYoRI0YwEVAHxGReZmYmALFeICtdJ04InnZlmSTaKm9jaegj\nCSsrKwQHB0vNG2ZmZggPD6cei/W63FbgvjtfX1/06NEDc+bMYZpffVGVROnp6bh16xZiY2OhrKwM\nIyMjbN68mWqMWbNmoUuXLvD29kZ6ejoAcVvMunXrMHnyZKqxOPTo0QPbtm3DgwcPYG9vj9raWjQ1\nNVGN0RYiZiKRCOXl5fyGvLy8HJGRkcx0FljrBFy4cAGenp6fFGJjkfD+E1gQLKWlpTh+/DiSkpIg\nEokwevRoODg4UF/A5OTkICMjg4qKCuqtc63h9u3bePr0KaKionDq1Cn0798fRkZGVBdKIQWeO3Xq\nhE6dOuHIkSMAgJKSEtTW1qKmpgY1NTVMrG8TExNx/Phx5Ofn88LOtFulSktLceHCBRBCpP7m3qOJ\ns2fP4vDhw/zr+vp63LhxAzU1NXB1dWVCEgnp/uHo6CjYia+pqSmCgoIwdepUZg6da9euBSBuO2yu\nM8PK+Q4AdHV1ce7cuRal5rQ+W11dHcLDw5GcnIzbt29LVaaIRCImVZxCkfNGRkYwMjKCr68vE7eq\n5njw4AFcXFwQFxeH3r17w9fXFwsWLGBGEgnRNpKVlYXTp0/jq6++wtKlS7F161YkJiZCQ0MDnp6e\n1KsdAGFbwZuamtCjRw+0b98eCQkJ+PPPP5n9XioqKswrivPz83kpjJCQEEyYMAEHDhxAVVUV5s+f\nz4Qkev36NVxcXHh5BxUVFezbt4+JJMelS5cQHBwMa2tr+Pv7IyMjQ2odpYn58+dj7NixGD16NEaN\nGsVU2Hzw4MG4fPkyEhMTAQBjx46l7qTWFnmbUIY+gDCVehxYr8uSqKiogK+vr9Sz4eDg8En9zH8D\nRUVFnDp1CuHh4QgICEBjYyMzN1DgC6skmjt3LoyNjWFkZMRMd6Yt8OHDB/z6668YNGgQvvnmGxQV\nFeHPP//ExIkTmcQTauPQGoPMVU2xgGQSU19fj4aGBnTs2JGqkN6XjiVLlmDMmDEwMzMDIC75/v33\n33Hx4kXqsVasWIHU1FTo6ury7SKsdEwkUVpair179yIiIgJpaWlMY7HG3bt3sX//fhQVFUFFRYUX\nGo2KiqIey8DAAG5ubtDS0pJyEKJZ4uvj49Oqow73N82NZvOTqJ07d/I6VdxJOm08e/YM3377LSor\nK3n3j+XLl2PEiBHUYwl54nv58mUcOXIEnTt35n8zVlpLrZ2qsTxVbK0Kl+ZnS0xMRHh4OGJjY1uN\nxaJCys/PD5aWllBUVMSWLVuQmprKt/yyghB5h4mJCaKiouDm5gYDAwNMnjyZyUm2ZNuIhoYGf51r\nG6FJRMybNw+zZ89GZWUlLl68CDc3N0ybNg1JSUk4evQok3nqw4cPOHXqFH777TcA4FvBWWzSzczM\nEBISgvz8fNjb22PatGlIT0/HTz/9RC3G51wXaa4rkjmura0t5s6dC1NTUwDsqiqsra2xYcMGjB8/\nHoC4qv7IkSO80yVNcHOtubk5rl27hvbt28PY2JiJFlNubi4SExORlJSElJQUtGvXDqNHj+bbPWnC\nzc0NjY2NPHkSFhYGWVlZJk5qQuZtRkZGghj6AMJU6nFgvS5LYvXq1Rg4cCBmz54NQgjCwsLw+vVr\nJm6uRUVFiIyMxPDhw6GtrY23b9/i999/Z0acf1GVRNeuXRMsVkFBATw9PXlWdMyYMdiyZQt69uxJ\nPVbHjh0xffp0lJSU8C4tkpbMNCHkxoEQgqamJn5DyZoRlRTUa2pqwr1795CSkkLt/pJtMM2vy8rK\nMnNdqKurw9WrV5mecHAoLi6W0vhatWoVbt26RT0OIG4Ba35Kzmohq6ysRFxcHKKjo5GTkwM9PT2q\nml+AsALPHI4ePYrAwEDY2dkhNDQUCQkJzEjYzp07M6um5LBmzRqm95dERUWF1GtJIXPaVUsc8vLy\nMHz4cCgpKfHCktHR0UxIIiFPfM+fP4+4uDimumkZGRlIT09HRUUFX3EjEolQVVUlRTzQBusqXG1t\nbWhra2PYsGFMHL9aQ3BwMBYvXoxff/0V5eXl2L9/P5ydnZmRRELlHVOnToWhoSHat28PDw8PlJSU\nMCE2hDQCqamp4QW/g4KCeG0nrkKFBTp27IiNGzdi48aNTO4vCRkZGcjJyeH27duwsbHBokWLqG+I\nFBQUWuQWHz58wI0bN1BWVkaVJOrZsyf8/f3Ro0cPpKam8mOqpqaGuv4ch5qaGp4gAsRV9awqVL/+\n+muUl5dDT08PS5cuRefOnZmJ6qqrq6Ndu3Zo164d5OTk8PjxY771jDaEdFITMm9jbegjCSEq9TgI\n2R2Tk5MjRQitWbOGP0inje7du8PU1BTPnj3DvXv3MGzYMGYEEfCFkERt4f6xefNmzJw5kxdBjIiI\nwObNm3HhwgXqsfz9/eHr64uuXbtKlQOy+FxCbhwmTpyIDRs2YN68eSCEIDAwkOlJpSRkZGSgp6cH\nHx8farocly9fbrWiZsaMGbCxsWG2oHh4eKCxsZF3XAoLC+PdumhjwoQJiIyM5BPRmJgYTJgwgXoc\nQFhrdXNzc0yfPh0ODg4YMWIEEzKqLQSe5eXloaKigqamJjQ2NmL8+PFMngtAnHju378f+vr6Ui1F\nLLSxhCDpv/vuOwQFBbVwXLp69Sq+++47anEkcebMmRYCvq1do4F27dqhQ4cOAIDa2lr069cPWVlZ\n1OMAwDfffMPHYoWsrCzcv38fVVVVuH//Pn9dUVGRiYNVZWUliouL0bdvXwBiMq+urg6AeG1TVVWl\nEicrKwsHDhxATk4OHj16BBcXF8EqpX/++WeYm5szaUuRhFB5h6OjI5YvX45OnTpBVlYWCgoKOHHi\nBPU4XNuIo6MjRCIRv56waBuRXKsUFRU/+R4NtMVBh7y8PCIiIhAWFsa70tE+TFy2bBn/d1VVFS5d\nuoSQkBAYGxtTNyzYvXs3vL298fDhQxw5coSXW3j69CmznEdNTQ3Hjx+Hubk5CCGIiIho0ZJLC8eP\nHwcg3iiPHTsWVVVVzPJ6PT09dOnSBaamprCyssL27dulqphpQkgnNSHzNtaGPoCYvB47diz69u0L\nQgjc3NwQGxuL3r17Y9++fVRzRKHWZUl06NABiYmJvFFAYmKiVIsbTVy/fh3Hjx/n5VN27dqFVatW\nMTtA+iJIIq60kFtAhEBpaSksLS351xYWFkxabgBx6XdMTIwggrNCbhwcHR0RFBSEq1evAhD3kLI8\nKY2NjeX/bmpqwsuXL6luXBoaGloVBFRUVGRaISXECYdkq56fnx+cnZ0BiL9HBQUFuLq6UovVFoLB\nd+7cgYyMDKqrq/Hhw4cWyTYNsNbEag2dO3dGVVUVtLW14ejoiK5duzL5bAB4F4kXL15IXWehbyIE\nSb9582Y4ODggMjISmpqaAIBXr16htraWT4Rp4eeff8Yvv/yCwsJCeHp68pUH1dXVzBJRIU98O3To\ngFmzZmHcuHF8Ikq7dZSzKH7y5AkzfRRJ7N+/HyNHjuST0SNHjmDSpEn4+PEjkpOTsXPnTipx3Nzc\nMHv2bIwePRr379/Hrl27mJSxS0JLSwt2dnbIzc3Fpk2bUFVVxWzzBQiXd3z48AEBAQE8yVxUVISs\nrCxMnTqVeixAmlSpra1FXl4e+vbtS7VtJDMzk1/vm7si5eTkUIsD/OegIy4uDsXFxTAzMwMhBFFR\nUejatSvVWBz27NmDwMBArFixAurq6sjNzWVySl9WVoaLFy8iIiICs2bNws2bN5kYWCgpKWHdunUt\nvq8BAwYwqRgFxN+hj48PX4k7evRoZi5gKSkp6N+/P5SUlDBu3DhUVVUhNTWVycHKokWLkJSUhKio\nKLx69QpjxozBmDFjeCKHJoR0UhMyb+Oq5Di9TO5vmrh06RJPgEZGRiItLQ13795Famoqdu/ejStX\nrlCLJdS6LIkdO3bA2dmZF4bv3LnzZzVj/1ecPXsWN2/e5PmAsrIyzJs37/+RRP8E7lSNhdvBp6Cs\nrIzQ0FDMnDmTXyRZkThff/01UzeC5rGE2jjIyspiwYIFfAVMYmIiPD094e7uziSepH27rKwsevfu\nTfUUsba2FtXV1S0m86qqKtTX11OL0xxCnHBItuqxRlsIBv/111/MhR0/R9yxqAw8fvw4OnTogM2b\nNyMiIgJVVVVS7YI0IaSlqhAkvaqqKgIDA5GQkIC//voLIpEIU6ZMgY6ODtU4gHgN09LSwt27d6Gl\npcUna0pKStTNFzgIfeKrp6cndY12InrmzBnY29sjMjISkZGRLWLR1jJ7/vy5VMKpqKiIbdu2ARDr\nxNDChw8fMHfuXABAv379mJaWc9i9ezdSU1Ohrq4OBQUFlJWVMdsQAcLlHZs3b4aWlha/nnXv3h1r\n165lRhI1n9NfvnyJgIAAqjFYaL18CtxBx/79+6U0vqZPn86sCmbAgAH8uALELUb29vZUY+zfvx9x\ncXGYO3cuwsPDmebbnp6emDRpUotW+uTkZPz222/YsWMH9ZjKyspS3yFLuLu7S2nCKSgowN3dnarz\nKIfFixdj8eLFqK6uRkhICHx9fVFYWMhbktOEjo4OYmNjefL622+/laq8oQkh87Zx48YhLy8POTk5\n0NXVZdL2KCcnx8tfxMfHw9zcHF26dIGuri71llih1mVJKCkpISIiApWVlQDElaSszDK6dOkitcdk\n7Xz3RZBEHFo7PezUqROGDRsGV1dXquWVe/bsgaenJ68bMXLkSGYWu2pqarC1tcWUKVP4gSYSiZi0\nrwi5cQDESVNkZCRfesjCqYUD91uxgpWVFdatWwcPDw+esMzNzcXOnTthZWXFLK6QJxwAe4HRuro6\nqXL80aNHo0uXLujSpQtqamqoxZHE9u3b4erqKiXsuH37dqrCjkJWOnLgFhNZWVnm7Xvv3r3DkSNH\nUFhYiHPnziE9PR1PnjxhcsIhFEkvEomgo6PDE0MsRA8BsXPK4MGDMXPmTCZaYp9CY2MjiouLoa6u\nDkIIiouLmTioCNE62r9/fwDiKhhJAkpS4JwmGhsbpaprJE8OuWSRBmpra/Hy5UsA4s/y8eNHvHz5\nkv9cLNo5ZWVlecfF7OxsREZGIjo6molwKiBc3pGbm4tjx47xxApniCAUtLS08OzZM6r3FPJwlENN\nTY2UKHdubi71tVlIGYkLFy5AXl4eJ0+ebLFOi0QiquYmL1++hKenZ4vrM2bM4F2taKEt2gMBSM2L\nsrKyzLSW9u3bh8TERHz48AEjR47EunXrMHr0aCaxPn78iCtXrvDOvtra2pg/fz4TTTMh87agoCBc\nu3YN5eXlfBW/h4cH/Pz8qMWQkZFBYWEhlJWV8ejRI/z444/8ex8/fqQWBxBuXZbEmjVrEBoauWuP\nNwAAIABJREFUKuVmtm7dOiZmGerq6pg7dy6mT58OQJyTDho0COfPn2fCC3xRJJGtrS2+/vpr3ikg\nKioKOTk50NTUhJubG9WTbjU1NWYTbHP06tULvXr1Qn19PdOKFA6JiYnIzs6GpaUlSktLUVhYSJVg\ny8zMRFRUFKKjo6GiogJDQ0M0NTUxr0TIzc2Fv78/8vPzpRYtWr/jsmXL0LFjRyxatAjV1dUAxEmo\nvb09Xy3FAs1POPr27cvMClQIgdG2EAwWQthRMplnfXLzT+02tJNeDq6urrC0tOST7D59+mD9+vVM\nSCIhSHpJu3GuFHvHjh38b0WT0OY2RJ9KCFlUmQmpdZeVlYUjR44gPT2dTwppO41wbiZCaZnJyMig\nqKgI3bt3BwAMGjQIAFBYWEi1Natbt25SBxzNX7NYNwsLCxEdHY3IyEj8+eefsLe3Z6IR9OHDB8jJ\nyfEn8hkZGXj16hV69+7N5JS+Xbt2UpuSnJwcZtUAgFiwnUNTUxNevXpFXU+qLeb6zZs3w9bWVupg\ninYbh5AyEkK6mP4TmdbU1EQ1VkpKCnr27AkTExO+3YtVSxEHNTU1XLp0CfPnzwchBFevXmWif0QI\nweDBg7F8+XImOjPN4ezsDCUlJSxatAiEEERGRsLJyQne3t7UYrTFWA4ICEBwcDBfrdq3b1/qefba\ntWthZWWFxsZGTJs2ja/Qf/z4sZT7Iw0ItS4D/zHLqKysFMwsQ0NDAxoaGvz4nT59OkQiETMhepAv\nCKampi2umZmZEUIImTlzJtVYTk5OpLy8nH/9/v174urqSjVGc1RXVzO9PyGEeHt7kx9//JHo6+sT\nQgj5+++/ibW1NdUYgwYNIj/++CPJz8/nr02dOpVqjNZgampK/Pz8yMOHD0lCQgJJSEggjx8/ph4n\nJyeHVFZWksrKSqlrrGBqakpOnjxJsrOzmcXgYGJiQmpqavhxlZ6eTlatWkU1xsaNG0lgYGCL61eu\nXCEbNmygGovDypUria+vL8nNzSU5OTnk+PHj1D8Xh8DAQGJhYUGmT59OCCEkMzOT2NraMol1+PBh\ncvnyZf55DAgIIEeOHGESa/bs2YQQQszNzflr3HPyfyKGDBlC7O3tiaurK3F1dSUuLi5kxIgR/Gua\n+PvvvwkhhOTm5rb6jwWmT59OSktLmdy7OaytrcmDBw+IqakpycvLI97e3syewyVLlkitzWVlZcTO\nzo56nNDQUDJ79mzy+PFjfnwlJCSQ2bNnk5s3b1KPJwSuXr1KbGxsiJGRETl69ChJS0tjujbPnz+f\nZGVlEUIIefPmDdHW1iY7d+4ktra2xMvLi3q8X3/9lSxcuJCMGzeObNy4kUyZMoU8evSIehwO3t7e\nxMfHh/j4+JATJ06QsLAw8vHjR2bxhMTHjx/Jq1evSGpqKqmtrWUWp7y8nDx9+pQ8ffqUVFRUMIvD\noaGhgfz9998kPz+f/0cTCxYsICkpKS2uP336lCxYsIBqrPr6ehIfH0+cnJyIubk5OXz4MPnzzz+p\nxmiOd+/ekXXr1pHx48eT8ePHkw0bNpDi4mLqcZqamoiJiQn1+34KRkZG/9U1GhAyb7O0tCSE/Cdv\nq6+vb3Uv/W9RV1dHysrKpK5VV1eTqqoqqnGEXJfj4uKIi4sLGTt2LJ8Xurq6kl27dpGkpCSqsZpD\nCD6AEEK+qEoiBQUFREdHw9DQEIDYeYmrqKDNmr9+/RqdO3fmX3/11Vd49eoV1RgckpOTsXXrVlRX\nV+Pnn39GWloaAgMD4eHhQT1WXFwcQkND+dPYHj168FUxtODr64vIyEjY2Nhg4sSJTDRmWkP79u1h\na2vLPM7atWulerIBdqWHgPikLTo6GuvXrwcAmJiYwMjIiEnbiBACo0IKBnMQUthRiJMbDvfu3ZOq\nDFmwYAFmzpzJPys0oaioiLKyMv51SkqKVPktTTg7O2Pr1q38HFxeXo59+/ZRrSYKDAzEwYMHMXTo\nUCxYsAAikQi///47k7Zirrrg9u3bMDExEcS9Skitu9raWujq6gIAevfujTVr1mD27NlMnsPS0lKp\ntVlZWRnFxcXU43C6CkePHkVGRgYAccvbunXrMHnyZOrxAHEu0LwSlqZG0a5du/D9999jy5YtGDx4\nMLX7fgqVlZX45ptvAAA3b96Eqakptm3bhrq6OlhYWFBzHuUwceJEaGpq8iL7W7Zs4Z1vWIBbTzhB\nUxbjjdPR+xSUlZWpx7x586aU0C1XiUPzWayrq8P27dtx584dqKmpgRCC/Px8zJgxAzt27GBSASZE\ndaWLiwvWr1+P2bNn8/pzL1++RGhoKPVqPTk5OUyePBmTJ09GXV0dn3evWbOGNwahDVVVVd5QgiW4\nVttnz55h+PDhzONpampKmSKkpKQwafUFhM3bxowZg5MnT6KmpgYPHjzAlStX+KpcmpCXl0fHjh3h\n5+eHxMREAMDYsWOp6wQJuS5zWovJyckYNWoU1Xt/Cs35gNTUVAQFBTHhA4AvrN3s4MGD2L17Ny/8\nNmLECHh5eeHjx4/URdsIIXj//j2/AL9//556qSiHPXv24OzZs1i1ahUAsX7FH3/8wSRWu3btpEry\nWJSwcQOruroad+/excWLF1FaWgp3d3fMmDEDEydOpB4TAGxsbODj44OJEycysejmSg8rKioEKz0E\nxOW99vb2sLe3x5s3b3DixAkcPHiQiXifEAKjQgoGcxBS2LFdu3ZSzx9L57uOHTsiLCxMqgWXlUuG\ni4sLVq5cidzcXMybNw+lpaVUS7ElIQRJP3z4cFy4cAH+/v6wtbWlvmFtDdXV1bCzs0Pnzp1hYmIC\nQ0NDZqX0QmrdtW/fHo2NjdDQ0MDly5fRvXt3ZuXRsrKyyM/P5+elvLw8Zs5ckyZNwqRJk/7xvzl9\n+rSUBsP/CkdHR+Tl5WHw4MFSG1iaG/Nff/0VMTEx8PT0RElJCQwMDJjOT5JISEjgrcjbtWtH/WDv\nxYsXyM3NRf/+/TF16lQUFBTgyJEj+PXXXxEfH081FofXr18zN0T4XHvlvXv3qMXi8Pz5c/73qa2t\nxaNHj6ClpUX1WTxx4gTq6+sRHx/Pk2tVVVXYsWMHTpw4wWTDLIST8PDhw3Ht2jUEBATwh4n9+/fH\n9evXmTjE1dbWIj4+HlFRUcjPz4etrS1mzJhBPQ6H/fv3w8HBAe3bt8fy5cuRlpaGzZs3MxHcT0lJ\nQXh4OHr16iWlL8aiZfrFixeYP38+vv76a4hEIrx9+xZ9+/blNbNoxhQyb3N0dERwcDAGDRqEoKAg\nTJ48mZlTloeHBxobG3n5jbCwMHh4eGD37t1U4/w36zINBAUFYezYsRg1ahQIIXBzc+P1dfft28eE\nRGzOBwwZMoQZHwB8YSSRhoYGTp8+3ep72traVGPZ2dnB2toaRkZGIIQgJiYGK1eupBpDEs2rQiST\nRJowNDTE9u3bUVFRgaCgINy4cYPZhKGoqAgzMzOYmZnh/fv3iI2NxZkzZ5iRROnp6QgLC8Pjx4+l\nElBamg5ZWVm4f/8+qqqqcP/+ff66oqIidu3aRSXGp5CXl4fo6GjExMRARkYGTk5OTOJ8TmBUkjj9\nNxCJRLhx4wYOHjwodd3JyQleXl7/+v7N8ezZM5w+fbrFKT2LZEOokxvgP8Q5VxU1atSoFt8pLQwd\nOhSXL19GZmYmCCHo27cvM70PoUh6WVlZLFmyBEZGRti9ezczHQcOa9aswZo1a5CWloZbt25h4cKF\n6NmzJ1URSQ7Nte4II4FnQGzjXlNTg61bt+LYsWOoqqpiZhG7fv16LFy4kF/zExMTmdje/re4desW\nFZLo5cuXiI6OZvoMdu7cmXccLSgoQHR0NFRVVWFoaAh9fX1s3LiRaryBAwdi//796N69O3JycjBh\nwgQA4spAmp/zyJEjuH37NoYMGYJDhw5BT08Pt2/fhq2tLXXXO0kIYYjAggT6HCR1AgGxjuCGDRuo\nxoiLi8P169elNv9KSkrw8PDA3LlzmZBEQlVXqqqqYt26df/436xZswY+Pj7/Ko6TkxPS09MxadIk\nODg48PosLPHgwQO4uLggLi4OvXv3hq+vLxYsWMCEJDp37hz1e34KZ8+eFSyWkHmbrKwszMzMoK2t\njX79+jGJweH58+dSObWOjs5nXX//V2RmZmLHjh0oLi5GVFQU0tLScO/ePZ5coYFLly7xJH1kZCTS\n0tJw9+5dpKamYvfu3bhy5Qq1WJIQig8AvjCSqKSkBNeuXWux0WPRHjBr1ixoaWkhISEBIpEIx48f\n591VaKNXr15ISkoCIC7B9ff3ZzaYly9fjt9++w2Kiop48+YN1q1bxydutOHo6MhPfMrKyrC2tmbK\niMbExODu3bvMNq56enqYMmUKzp49+1lXCZqYM2cO6uvrYWRkhGPHjjERCWwNnB2uJJYsWULN6jQ9\nPV3qdUNDA+/yQxtOTk5wdnbGwIEDmRMBQp7cqKurCyawP336dCxbtkxKpP3HH3/8JHH/byA0Sd+j\nRw9mVVGtQUVFBaqqqujSpQuzVkSuFUYIcO0AsrKyzF0mJ02ahJCQEKSkpEAkEsHNzQ0qKipMYwqB\nAQMGoKioiGkr4pw5c/jqhq+//hrLli3DsmXLkJWVxcTZzNPTE5cuXUJ+fj7Onz/PEwIZGRmws7Oj\nFodro2/fvj3ev3+PKVOmIDIykrkzmBCGCByampoQHh6OvLw8rF69Gm/fvkVxcbEgrTgdOnRAXl4e\n1XvKyMi06j6nqKjIrDJQyOrKz4GGhXZERAQUFBTw5s2bFuYirISQub3X/fv3YWBggE6dOjEVyW5u\ntENbHkMyVnl5OQoKCqT2lyyqRYTM2+7evYsDBw6gvr4e9+7dw6tXr+Dt7c0kvpycHLKzs9GnTx8A\nYuMAOTk2NMS2bdvg7OwMd3d3AGIB602bNlElieTk5Ph5Ij4+nm9109XVxYEDB6jFkYSQfADwhZFE\nq1atgra2NnR1dflFhNXkxNl/DhgwAAkJCXj48CG6d+8u1QJBC1w5XmFhISZNmoQJEya0OMmhiYkT\nJzKr5pFEayQAK10nQHxqWVFRwdQJQU5ODnFxcYKSRPv27WN+AiAkTp06hdOnT6O2tlbK7UFeXp7X\n8aGNLl268JaSrCErK8u3XLIoL5eEkMS5nJwcfv/9dzx//pzXjCgsLKQeBxCGpG8L++CAgADExMSg\npKQEhoaG8PT0pP65PD09sXXr1k9+PhafSwhdvRcvXkit95y7SUFBAQoKCpjpRwiFsrIymJiYYPjw\n4VIHHTR/L05jpjn69u2L1atXU4vDQUFBodUqq1GjRlHVeGjXrh2vT6msrIw+ffoIYh2vpqaG48eP\nw9zcHIQQREREMDvE8fDwgIyMDBISErB69Wp07NgRHh4eTLQQJeeOpqYmpKenM9GWbE1v6VPPKA0I\n7STMGkK6tnGYOnUqDA0N0b59e3h4eKCkpISZ266Pjw9evnyJrKwsWFpaor6+Hk5OTlQr9TgcPXoU\nN2/ehLq6OpNOBEkImbf5+vri+vXrvF6rpqYmdcKXg7OzMxYvXizlishK+7OmpoZ39APEXABtQkpG\nRgaFhYVQVlbGo0ePpNYySRdNmhCaD/iiSKKPHz8ya7NpjtWrVyMkJATZ2dlwd3fHtGnTsGnTJvz0\n00/UY9XW1uLQoUNS1969e0c9DgDExsbi0KFDKC4ulrLKpHni0BYkACAuiTYyMsKwYcOYJdmAWPR4\n586dMDY2hoKCAt/GwWqToqamhvDw8BYLCoukXgisWLEC9vb22LJlC5NFsTWsXr0abm5u0NXVlTpB\npGlzTgiBr68vLl++zLdGycjIYNGiRXBwcGBCaAtJnCsoKODo0aP46aefsHDhQqbilUKQ9G1xelxQ\nUAA3NzcMGTKEWQyu7F/IzyeErt7n2tdYJPNCgpvPufHLoj2wtLQUFy5caHUjzqKi4nOtBrTafXNz\nc6WIjfz8fKnXtHOA5cuXw93dHXv37oW3t7cghgjPnj1DaGgoP76VlZWZ6UnZ2dnxz4isrCx69+6N\nr7/+mmqM6urqz+ot0Qb3O3348KHVKqb/U9Ea2aaoqMjnOjTh6OiIZcuWoXPnzpCVlYWCggJOnDhB\nPQ4gjNEOh1u3biEuLo5ZJ4IkhMzb5OTkWuRNLGI1NjYiLS0NsbGxvNlN3759mRGIKioqyM7O5l/H\nxMSgW7duVGOsXbsWVlZWaGxsxLRp03itucePH0NDQ4NqLEII7ty5g+zsbJibm7fgBFjhiyKJpkyZ\ngvj4eEyZMoV5LBkZGcjJyeH27duwsbHBokWLmPTcAuI2DgMDA+zZswcKCgoAgB9++IFaW48kvLy8\ncPr0aaaVKW1BAgCtt1ewmAw5wehjx45JXWe1SVm1ahU6deoELS0tZhOu0JCRkcHz588Fi3fz5k1k\nZWWhsbFRqpSdJkl08eJFJCcnIzg4mD9Nzs3Nhbu7Oy5evMhk0y4kcc7hhx9+gJaWFuzs7FBeXs4k\nhhAkfWvtlKzBiWOXlJRIid3TdCocOnQoAOE/H+s++rYigRITE1toHkpe49xW/y3GjRuHd+/e8aLB\nw4cPp16J2NTUxGyT1RpOnjwJALx2g2TFDU1wm1TOkUtyrmWRA1haWmL58uWYNWsWXFxcBNlYysvL\nSx0SlZaWMmvLio+Ph7Ozs9Q1Ly8vqmtNW2gtCekkLCQsLCzw9u1bfPXVVwDEml+qqqro1q0bdu3a\nxa8JtFBUVIRHjx6htraWH18s9kdCGO1w6N+/P/NOBA5C5m39+/dHeHg4Ghsb8ebNG/j7+0sd3tOC\nrKwsIiMjsXTpUkGcM7dv345t27YhMzMTEydOhJqaGnVdp6lTp+LevXuorq6W0mIdNmwYjhw5QjWW\nh4cHMjIyMHLkSHh7e+PZs2eCFAJ8USTRpUuXcPr0acjLy/NlZaz6buXl5REREYGwsDA+0WF1ajNw\n4EBoa2tj/vz5OHbsGN/PyQKqqqqCtC4JTQIA/9kUVVVVMXVsEXqzUlhYKKiAn1AQ0t70xYsXiImJ\nYapHFBoaigsXLkjpo6irq+PgwYNYunQpE5JISOJ87dq1/N+6uro4f/48r29CG0KQ9EJVOUji7t27\n2L9/P4qKiqCiooK3b9+iX79+TPRgWvt8SkpKGDZsGFauXEnV4UfoPvrXr18jIyNDyt6c1SGOp6dn\niwMbyWu0Wo+jo6Ph5eWFMWPGABDb1Ts5OVFt81FVVRW0ApVrO3jw4AHCwsL464MHD8asWbOobZS4\ntf/ixYtYsmSJ1HsXL17E2LFjqcThYGRkhEmTJuH48eOwsrKCubk5ZGRk+OovFnO9jY0NHBwcUFJS\ngsOHDyM2Nvaz4sj/Kx4+fNji2i+//MJsY1tYWNiiUpobBzQhpJPw57Bp0yZq99LV1YWBgQFvMvLb\nb78hNjYWFhYW8PDwQHBwMLVYPj4++P3335Geno4pU6bgl19+wejRo5nMv0Ia7fz444+YNWsWBg4c\nyLQTARA2b9u+fTtOnjwJeXl5bNy4Ed9//z1V3R5JCNll0bt3b/j5+f1/7J17WE1p///fWwclOSSH\nIWaMQ1GMCBM5ZGqQUhIRcpqnByXGoRQVo5wPQxmjYaQYRVI6KDTOT3omcmrw6EDlnCSl4279/ti/\ntb57K2aex32vPe25X9fluuzVde3P2rv2Xvd635/P+43y8nJwHEfFkD4lJUXhnkG+A7dp06bo3Lkz\nsXVORkYGTpw4ATU1NVRUVMDFxYWJRP8tmZmZotVat24dIiMjMW/ePHTu3BkFBQUYP348tXrTpk2D\nkZER5s2bR+VCnJKSAkC2y7x48WJYWVlRG7vhEVMEAIDIyEgEBwcrxOtKJBKkpqYSr3X27FlkZ2cr\ndAPQ+kCbmpri7t27oqjzDaWLyR/bv38/sVpixpv2798f2dnZ6NGjB/Hn5pFKpQ0a6Orp6Sksfkki\nhnCek5ODbt26oV27dvWMxWktcsQQ6fnnFZPvv/8ekZGRmDNnDmJjY3HlyhWFm2eSWFhYQF1dHba2\ntuA4DklJSaioqIC+vj58fHyILn7FnKMX6yYlMzMTmZmZ9Ua0ysvLqSTt7d69G9HR0UL3UHFxMWbO\nnElUJHr06BGx5/pv4DhOofvq6tWrVLxnYmNj64lEx48fr3eMBBoaGmjWrBmqqqpQXl5OrauHx97e\nHiYmJkhLSwMg654iLcT+8ssvOHz4MPLz8xVE5vLycirdB4CsQ+nkyZPo1q2bQvchDZEIoN/xeObM\nGTx9+hTTp08HADg5OQnhBPKir3xq7Mdy/fp1BAYGCo8tLCywceNGrF27lrj3UkpKCuLi4jBhwgSs\nX78eRUVFQocsacQM2vH29oabmxt69OhBfQRMrIaH2tpauLm5ISIignhyZUOIOWXx1VdfYdiwYbCx\nsVEIDyDJ2bNn3/s3UFtbK3T++Pn5fXQtDQ0N4buIF9jEQKVEIkD2BZyRkQGJRIKBAwdSi5bu0aOH\nwi++c+fOcHNzo1KLZ8CAAThw4AAWLVqE3Nxcos8t/8eupaWFy5cvK/ychkgkpggAyOIy4+PjqSfd\n+Pv7o7KyEleuXMHkyZORnJxMVQjLyMhATEwMDAwMFHY4aLyP9+/fV3j8buIYye4DMbujMjMz4eDg\nQPU9/JBpHq2EBzGE8/379yMwMPC9njA0FgBiiPTyxraFhYXIz8/HkCFDUFFRQU3U09DQgJ6eHurq\n6iCVSvHll18iKCiISq20tDSFDhi+eyM2NpZoLG1tbS2CgoJEm6EX6yalpqZGEITkR7SaN29OLQlP\n/tol395Oig4dOhB/zj/DunXr4OPjg7KyMgCArq4u0VH0hIQEJCQkoLCwUKGz690xAVJcuHABGzZs\ngKWlJWJjYwWbAJps374dgwYNgqOjIzU/HTs7OwwfPhxbt27FsmXLhBuV5s2bU3kfAdmaPjk5WZSR\nPTE6Hvfu3Ytt27YJj2tqanDs2DFUVFRgxYoVVAzA27Zti9DQUIwbNw4cx+HkyZNo06ZNvfF6EjRt\n2hRqampQV1fHmzdv0KZNGzx58oRoDR5+xFE+aIf02CNPs2bNBHNn2ojV8KCuro4mTZqgtLSUSujS\nu4g5ZZGUlIRz587h4MGD8PX1haWlJWxsbOqNhn8Mf5TUWldXR2wtlZubq/Bc7wr1tO6bVUok2rJl\nC27dugU7OztwHIeIiAhkZmYSbdv09PTEzp073/uLp/GLCg0NFf7frl074XWRhHYscUOIPSLVuXNn\naGlpUa+TmZmJ+Ph42NnZwcPDA7Nnz8Y333xDrR4Ns/R3UYbZOH+T/q4/Cw327t1L9fkB2QjM+3Zb\nab2+97XKk9yF5Xco9+7dW88Ti9brElOkj4qKwpEjR/D69WthF3j16tU4cOAA8VotWrRAWVkZzMzM\nsGzZMrRp0wY6OjrE6wCyzrYbN24ICSA3b94UOmBI7p6rq6vj8ePHqK6uFuVGT6yblF27duHAgQPI\nzs4Wpe3bwsICc+fOVej8ItltAJDvmvizmJiYID4+Hm/evAEgE4lIYmpqirZt2+LVq1cKpsvNmzeH\noaEh0VqA7Hq5Y8eOP+xMLSkpISaudO7cGQkJCQgMDISOjg7MzMxgZmYGKysrIs8PyH4vurq6WLx4\nMfT19dG0aVNcuXIF//nPf+Dg4EDlRrNz586ifXeI0fFYXV2t0K00YMAAtG7dGq1bt0ZFRQXRWjxb\nt25FSEgI3N3dAcg6p7dt2wapVEo8YKJPnz54/fo1Jk2ahIkTJ0JbW5toUqE8ly9fricI0Rp7NDMz\nw9atWzFq1CiFv0Uao1JirNt4tLW1YWdnhyFDhgjiskQiwapVq4jV4A31f/7553rjWbTGb5s1awYb\nGxvY2Njg9evXCAwMxIwZM4RuJhIcP368XieRfKAE/5pJkJSUROR5/ltUSiQ6f/48YmNjhYWOo6Mj\nHBwciIpErq6uyMjIqDeK8PTpU+LO6fwHKyEhod7P+E4p0uTm5mLNmjUoKipCYmIi7t69i19//ZXK\njKqYIgAgm/F2dnaGqampwigdyS9DAMKNsra2thCPWFRURLQGIPNWat68OZVZ23eZN28e5s2bhy1b\ntlBrHX4XMf1ZDAwMIJVKUVRURK1LhOTF6c+yd+9e4YJVVVWFmzdvwtjYGOHh4cRrTZkypZ4HUUPH\nPgZliPSHDh1CdHS0IIZ27dpVGA8gza5du6ClpQUfHx/Ex8ejrKxMWNiTJigoCL6+voLZp46ODoKC\ngvD27VvigpuBgQGmTp2KUaNGCV0VtBaHYt2kvHjxAteuXcO9e/fqjVkC5G8evLy8cOrUKVy9ehUS\niQRTpkyBtbU10RrPnj1DYGDge9PNSF8reUpLSxESEoKMjAwAwKBBg+Du7k5MLOrUqRPat28PTU1N\n4v5DDXHo0KE/NYoya9YsYgEkTk5OcHJywosXL5CUlISff/4ZUVFRVLoSPD09cezYMVHSfbW0tODg\n4ABzc3Ph5pzW36Kenh71jsfS0lKFx/IiFK3rip6e3nvFLtIep7zJ99SpU2FhYYHy8nLiVgjKGHv8\n/fffAcgmIOSh0R0j5rrt66+/xtdff03Vj5OPgy8vL6da513S09ORlJSEixcvok+fPsQFUT5EQh6O\n43D27Fk8ffoUDg4OaN++PZFa8p3tYqJSIhEg+wLmR17e/TImQWhoKJYsWVLvF1ZWVob169cT9XFQ\nxgfLz88PXl5eCAgIAAAYGhpi6dKlVEQiMUUAQPbahgwZgp49eyqYSJLG0tISr1+/xty5c4VoThpm\nekuWLEFoaOh7Y2JppIMsW7ZMNBNJMf1ZIiIiEBISgjZt2ijsptNq4RSLPXv2KDx+8uQJ8fGl58+f\n4/nz56ioqEBWVpbwuSorKyO+MyqmSM+jqampsHNI0/Se7xpSU1OjHv/ct29fJCQkoLS0FBKJROGG\n3MbGhmitLl26oEuXLuA4Dm/fvqX23Qso3qQMGzYMZWVlVPzaFi5ciF27duHZs2cNduIAqTd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JWVEe9g4nd2xWb37t2Ijo6ul6ZGSiT6+eefhf/zO9nyvyeaoh5t/qw5fElJCZFrjJ6e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\n",
       "text": "<matplotlib.figure.Figure at 0x12ad45fd0>"
      }
     ],
     "prompt_number": 160
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "<br>We can also try a horizontal bar graph"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "account_count['Number_of_tweets'].plot(kind='barh')",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 161,
       "text": "<matplotlib.axes.AxesSubplot at 0x11efb5110>"
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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PDw/69OlDo0aN2LlzJ+Hh4QQFBTFmzBgMBgOtWrUqcT5/f3+GDBnCRx99RHBwMNHR0Tg7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uR731vdLOTd2pFnMBhsn93c3PIUvG4fn5yczO7du1m9ejUlSpQgMjKSrKwsvLy8WLduHTt37iQ2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\n4Pz589SpU4clS5awbt065s+fD8Djjz/O6NGjAQgMDGTgwIFs27aNSpUq8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       "text": "<matplotlib.figure.Figure at 0x11efb5190>"
      }
     ],
     "prompt_number": 161
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "<br>Typically the above 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\nIn 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."
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "account_plot = account_count['Number_of_tweets'].plot(kind='bar', alpha=0.75)\nxticks(fontsize = 10,rotation=60, ha =\"right\")\naccount_plot.set_xlabel('Twitter Account Name', weight='bold', labelpad=30)   \naccount_plot.set_ylabel('# Tweets', weight='bold', labelpad=25) #ADD PADDING TO RIGHT OF Y-AXIS LABEL\nsavefig('account counts - bar graph.png', bbox_inches='tight', dpi=300, format='png')",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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nhg4fzM2rlqSrq3uiVgQAJolgBQDApGlpa8+s2fNqnqtUmlOtHn3J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\nWb16NTo6Os/8zNzcnD59+jBx4kT69+9PWloaY8eOfebfpKam4uP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       "text": "<matplotlib.figure.Figure at 0x121a5c590>"
      }
     ],
     "prompt_number": 162
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "<br>And here's a modified version of the horizontal bar graph. "
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "account_plot = account_count['Number_of_tweets'].plot(kind='barh', alpha=0.75)\nxticks(fontsize = 12) #,rotation=60, ha =\"right\")\naccount_plot.set_ylabel('Twitter Account Name', weight='bold', labelpad=20)   \naccount_plot.set_xlabel('# Tweets', weight='bold', labelpad=25) #ADD PADDING TO RIGHT OF Y-AXIS LABEL\nsavefig('account counts - horizontal bar graph.png', bbox_inches='tight', dpi=300, format='png')",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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sFry9vVm4cCE9e/YkKSmJrl27AuDu7s68efNu2fJ7O3369MFoNGIymRg1ahTu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\nMM6pU6d4+umnef7557npppvsxzt27MiyZcvs3//www+XrPnQoUN4eHgQF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       "text": "<matplotlib.figure.Figure at 0x11ef34250>"
      }
     ],
     "prompt_number": 158
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "<br>OK, we have covered a few important steps in this tutorial. We now have an account-level dataset, and used it to output a CSV-formatted table showing the number of tweets sent by each of the 41 Twitter accounts. We'll likely use this table as an appendix in our research report. We have also generated a bar graph representation of these data, which we could also include. Finally, we know which of the Fortune 200 companies are managing multiple CSR-related Twitter accounts. I hope you've found this tutorial helpful. In the next tutorial we will cover how to aggregate the data <i>by time</i>."
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "<br>\n\nFor 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>"
    }
   ],
   "metadata": {}
  }
 ]
}