{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Visualization Project:  Media and Social Media Monitoring and Analytics."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Project Overview\n",
    "\n",
    "<p>Nowadays, advertisement departments and PR agencies are interested in the public response regarding their products. This is why companies such as Business Wire , NUVI, newsapi.aylien.com provide real-time social media  and media monitoring and analytics.</p>\n",
    "\n",
    "<p>Our team decided to create a program that takes any user input as keywords, that they would like to analyze. Once a user provides a valid input, the program outputs graphs analyzing sentiment, location, timeline of tweet among other things. Besides, twitter API we also use News API to build graphs around user input to show media trends and tendencies.</p>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Questions to Answer\n",
    "<ul>\n",
    "    <li>What are the related handles (hashtags) appearing together with the user searched term?</li>\n",
    "    <li>What is the sentiment for the most top-10 influenced people (with the highest number of followers) for the target term?</li>\n",
    "    <li>What is the sentiment for the most retweeted tweets for the target term?</li>\n",
    "    <li>What is an overall average sentiment for the target term?</li>\n",
    "    <li>Which news sources write mostly about the topic?</li>\n",
    "    <li>What is an average sentiment score of their articles? How it changes over period of time?</li>\n",
    "    <li> How the topic popularity  in media changes over period of time?</li>\n",
    "    \n",
    "</ul>\n",
    "   \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Sources\n",
    "Data sets  are dynamic and come from twitter API (api.search) and News API (newsapi.org)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Project Steps:\n",
    "    \n",
    "<ul>\n",
    "  <li>Data retrieving, selecting and cleaning.</li>\n",
    "  <li>Collecting and grouping data in DataFrames.</li>\n",
    "  <li>Creating pivot tables. Calculating averages, finding highest/lowest values.</li>\n",
    "  <li>Building charts. Analyzing findings.</li>\n",
    "</ul>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Next Steps:\n",
    "    \n",
    "<ul>\n",
    "  <li>Collect data from cities with lower population density.</li>\n",
    "  <li>Collect data over time, for longer periods of analysis.</li>\n",
    "  <li>Upload analyser to a host website.</li>\n",
    "</ul>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import dependencies\n",
    "import requests\n",
    "import tweepy\n",
    "from config import consumer_key, consumer_secret, access_token, access_token_secret\n",
    "import json\n",
    "from config1 import key\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import math\n",
    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
    "analyzer = SentimentIntensityAnalyzer()\n",
    "import seaborn as sns\n",
    "import time\n",
    "from wordcloud import WordCloud\n",
    "import collections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Setup Tweepy API Authentication\n",
    "auth = tweepy.OAuthHandler(consumer_key, consumer_secret)\n",
    "auth.set_access_token(access_token, access_token_secret)\n",
    "api = tweepy.API(auth, parser=tweepy.parsers.JSONParser())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to get tweets for searched term\n",
    "#Text, location, dates, specified number of results\n",
    "def SearchForData(search_term, nTweets):\n",
    "    maxTweets = 10000000 # Some arbitrary large number\n",
    "    public_tweets=[]\n",
    "    # Counter to keep track of the number of tweets retrieved\n",
    "    counter = 0\n",
    "    oldest_tweet = None\n",
    "    unique_ids = []\n",
    "    # Loop through 5 times (total of 500 tweets)\n",
    "    desiredTweets = []\n",
    "    while len(desiredTweets) < min(nTweets,maxTweets):\n",
    "        # Retrieve 100 most recent tweets -- specifying a max_id\n",
    "        public_tweets = api.search(search_term, count=100, result_type=\"recent\", max_id=oldest_tweet)\n",
    "\n",
    "        for tweet in public_tweets['statuses']:\n",
    "            tweet_id = tweet[\"id\"]\n",
    "\n",
    "            # Append tweet_id to ids list if it doesn't already exist\n",
    "            # This allows checking for duplicate tweets\n",
    "            if tweet_id not in unique_ids :\n",
    "                unique_ids.append(tweet_id)\n",
    "                desiredTweets.append(tweet)\n",
    "                                 \n",
    "            # Reassign the the oldest tweet (i.e. the max_id) subtract 1 so the previous oldest isn't included\n",
    "            oldest_tweet = tweet_id - 1\n",
    "    return desiredTweets\n",
    "# Calling the function and searching a term \n",
    "tweet=SearchForData('spaceX',100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['patrickmoore', 'neilarmstrong', 'Spacex', 'Mars', 'Mars', 'VR', 'space', 'Dragon', 'CRS15', 'Canadarm2', 'ISS', 'AI', 'Dragon', 'Dragon', 'CRS15', 'Canadarm2', 'ISS', 'patrickmoore', 'neilarmstrong', 'ExperiencePays', 'patrickmoore', 'neilarmstrong', 'ECOSTRESS', 'SpaceX', 'Dragon', 'CRS15', 'Canadarm2', 'ISS', 'ElonMusk', 'SpaceX', 'Dragon', 'ECOSTRESS', 'SpaceX', 'ENGCOL', 'fashionfriday', 'goals', 'SpaceX', 'womeninstem', 'Dragon', 'Dragon', 'CRS15', 'Canadarm2', 'ISS']\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b00e518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Getting all hashtags in a list\n",
    "hashtags = []\n",
    "text=''\n",
    "for t in range(100):\n",
    "    for u in (tweet[t]['entities']['hashtags']):\n",
    "#         print(u)\n",
    "        hashtags.append(u['text'])\n",
    "        \n",
    "print(hashtags)\n",
    "# Assigning the list to a string variable since wordcloud needs it in a string variable and can'y use list\n",
    "text=' '.join(hashtags)\n",
    "#print(text)\n",
    "# Using WordCloud library to create a Wordcloud chart\n",
    "wordcloud = WordCloud(background_color='white',max_words=len(text),max_font_size=40,relative_scaling=.15).generate(text)\n",
    "\n",
    "plt.figure(figsize=(7,10))\n",
    "plt.imshow(wordcloud)\n",
    "plt.axis('off')\n",
    "plt.title(\"Word Cloud of Hashtags\")\n",
    "plt.savefig('WordCloud.png',dpi=500)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('Dragon', 7), ('CRS15', 4), ('Canadarm2', 4), ('ISS', 4), ('SpaceX', 4)]\n",
      "Top 5 associated hashtags to Spacex are : Dragon, CRS15, Canadarm2, ISS, SpaceX\n"
     ]
    }
   ],
   "source": [
    "# Creating a function to get top 5 hashtags associated with searched term\n",
    "from collections import defaultdict\n",
    "def leaders(xs, top=10):\n",
    "    counts = defaultdict(int)\n",
    "    for x in xs:\n",
    "        counts[x] += 1\n",
    "    return sorted(counts.items(), reverse=True, key=lambda tup: tup[1])[:top]\n",
    "print(leaders(hashtags, top=5))\n",
    "# Printing summary of the chart\n",
    "tophashes=[x[0] for x in leaders(hashtags, top=5)]\n",
    "print(\"Top 5 associated hashtags to Spacex are :\",', '.join(tophashes))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average overall sentiment is 0.063\n",
      "Sentiment of top 10 influential people is 0.057\n",
      "Sentiment of top 10 retweeted tweets is 0.059\n",
      "General public has more positive sentiments than top 10 influential people about spacex\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a1ab87940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a1abc3470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def getSentiments(target_term):\n",
    "    # Get 100 recent tweets and create lists of tweets, sentiments, followers and retweets\n",
    "    public_tweets = api.search(target_term, count=100, lang=\"en\", result_type=\"recent\")\n",
    "    tweets = []\n",
    "    sentiments = []\n",
    "    followers = []\n",
    "    retweets = []\n",
    "    for tweet in public_tweets['statuses']:\n",
    "        tweets.append(tweet['text'])\n",
    "        followers.append(tweet['user']['followers_count'])\n",
    "        retweets.append(tweet['retweet_count'])\n",
    "        result = analyzer.polarity_scores(tweet[\"text\"])\n",
    "        sentiments.append(result['compound'])\n",
    "    # Create a dataframe by combining all the lists    \n",
    "    combined_df = pd.DataFrame({'Followers':followers,'Sentiments':sentiments, 'Retweets':retweets, 'Tweets':tweets})\n",
    "    \n",
    "    # Calculate average sentiment of top 10 users with most followers\n",
    "    top_10_followers = combined_df.nlargest(10, 'Followers')\n",
    "    top_10_followers_average = round(top_10_followers['Sentiments'].mean(),3)\n",
    "\n",
    "    top_10_retweets = combined_df.nlargest(10, 'Retweets')\n",
    "    top_10_retweets_average = round(top_10_retweets['Sentiments'].mean(),3)\n",
    "\n",
    "    overal_average = round(combined_df['Sentiments'].mean(),3)\n",
    "    \n",
    "    # Print analysis\n",
    "    print('Average overall sentiment is ' + str(overal_average))\n",
    "    print('Sentiment of top 10 influential people is '+str(top_10_followers_average))\n",
    "    print('Sentiment of top 10 retweeted tweets is '+str(top_10_retweets_average))\n",
    "\n",
    "    if top_10_followers_average>overal_average:\n",
    "        print('Top 10 influential people have more positive sentiments than general public about '+target_term)\n",
    "    else:\n",
    "        print('General public has more positive sentiments than top 10 influential people about '+target_term)\n",
    "    \n",
    "    #Draw bar chart for sentiments\n",
    "    plt.figure(figsize= (15,10))    \n",
    "    titles = ['Influential Users','Retweeted Most','Overall average']\n",
    "    sent = [top_10_followers_average, top_10_retweets_average, overal_average]\n",
    "    plt.bar(titles, sent)\n",
    "\n",
    "    plt.title(f\"Sentiment Analysis {time.strftime('%x %X')}\")\n",
    "    plt.ylabel(\"Tweet Polarity\")\n",
    "    plt.axhline(0, color = 'black')\n",
    "    plt.savefig(\"output_9_1.png\")\n",
    "    plt.ylim (-1.0,1.0)\n",
    "    plt.show()\n",
    "    \n",
    "    # Draw scatter chart for sentiments, number of followers and number of retweets    \n",
    "    # Remove users with top 20 follower count to allow more meaningful visualization\n",
    "    combined_df1 = combined_df.nsmallest(80, 'Followers')\n",
    "    plt.figure(figsize= (15,10))\n",
    "    plt.scatter(combined_df1['Followers'], combined_df1['Sentiments'], color=\"lightskyblue\", edgecolor=\"black\"\n",
    "                , label=\"Number of retweets\", alpha=0.5, s=combined_df1['Retweets'], linewidths=1)\n",
    "    plt.title(f\"Sentiment Analysis based on Number of Followers {time.strftime('%x %X')}\")\n",
    "    plt.xlabel(\"Number of Followers\")\n",
    "    plt.ylabel(\"Tweet Polarity\")\n",
    "    #plt.ylim (-1.0,1.0)\n",
    "\n",
    "    lgnd=plt.legend(loc=\"upper right\", title=\"Sentiment Analysis based on Number of Followers\", scatterpoints=1)\n",
    "    lgnd.legendHandles[0]._sizes = [50]\n",
    "    lgnd.legendHandles[0]._sizes = [50]\n",
    "    lgnd.legendHandles[0]._sizes = [50]\n",
    "    plt.savefig(\"output_8_1.png\")\n",
    "    plt.show()\n",
    "    \n",
    "    \n",
    "\n",
    "getSentiments('spacex')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def news_api_data(user_input):\n",
    "    '''takes an argument \"user_input\" as keywords to perform API calls to newsapi.org,\n",
    "    returns a DataFrame with news data\n",
    "    ''' \n",
    "   \n",
    "    #in case we have several words as user's input, we can mark words or phrases that must appear with a + symbol\n",
    "    user_input_list=user_input.split(\" \")\n",
    "    user_input_plus=\"\".join(f'+{k}' for k in user_input_list)\n",
    "    print(user_input_plus)\n",
    "\n",
    "    url=\"https://newsapi.org/v2/everything\"\n",
    "    \n",
    "    #specify parameters for sample, i.e results come from the particular news  resources\n",
    "    sparams={\n",
    "       'apiKey': key,\n",
    "       'q': user_input_plus,\n",
    "       'language': 'en',\n",
    "       'pageSize': 100,\n",
    "       'from': '2017-06-01',\n",
    "       'sortBy': 'publishedAt',\n",
    "       'sources': 'abc-news, associated-press, bbc-news, breitbart-news, cbc-news, cbs-news, cnn,  fox-news, daily-mail, independent, nbc-news, newsweek, new-york-magazine, reuters, time, the-globe-and-mail, the-telegraph, the-washington-times, usa-today'\n",
    "    }\n",
    "       \n",
    "    #make API request and retrieve totalResults value \n",
    "    responses=requests.get(url, params=sparams)\n",
    "    \n",
    "    st_code=responses.status_code   \n",
    "    if st_code!=200: \n",
    "        print(f'API problem, code {responses.status_code}')\n",
    "    \n",
    "    news_info=responses.json()\n",
    "    sample_total=news_info['totalResults']\n",
    "    \n",
    "    #if response containes more than 10000 articles, retrive information for 10000.\n",
    "    #Otherwise API returns an error 419 - too many requests \n",
    "    if sample_total>10000:\n",
    "        sample_total=10000\n",
    "    print(f'The total number of results is {sample_total}')\n",
    "   \n",
    "    #calculate the nuber of pages to iterate through (numer of all results is diveded by 100 (i.e. records per page))\n",
    "    x=math.ceil(sample_total/100)\n",
    "    print(f'The number of pages is {x}')\n",
    "    \n",
    "    #create DataFrame for retrieved results\n",
    "    news_data=pd.DataFrame(columns=[\"published_at\",\"name\", \"author\", \"description\", \"url\",\"year_month\"])\n",
    "    index=0\n",
    "\n",
    "    #iterate through each page and store  results in the DataFrame\n",
    "    for page in range(1,x+1):\n",
    "        sparams['page']=page\n",
    "        responses=requests.get(url, params=sparams)    \n",
    "        news_info=responses.json()\n",
    "        print(f'processing page {page} of {x}')\n",
    "        if 'articles' not in news_info:\n",
    "            print(f'skipping page {page} of {x}')\n",
    "            continue\n",
    "        for article in news_info['articles']:\n",
    "            news_data.loc[index,\"published_at\"]=article[\"publishedAt\"]\n",
    "            news_data.loc[index,\"name\"]=article[\"source\"][\"name\"]\n",
    "            news_data.loc[index,\"author\"]=article[\"author\"]\n",
    "            news_data.loc[index,\"description\"]=article[\"description\"]\n",
    "            news_data.loc[index,\"url\"]=article[\"url\"]\n",
    "            news_data.loc[index,\"year_month\"]=article[\"publishedAt\"][:7]\n",
    "            index+=1\n",
    "    \n",
    "    #clean the data from duplicate records \n",
    "    news_data.drop_duplicates(subset=['published_at','name','description'], keep='first', inplace=True)\n",
    "\n",
    "    news_data.to_csv(\"report.csv\")\n",
    "    #news_data.info()\n",
    "    return news_data              "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+spacex\n",
      "The total number of results is 1989\n",
      "The number of pages is 20\n",
      "processing page 1 of 20\n",
      "processing page 2 of 20\n",
      "processing page 3 of 20\n",
      "processing page 4 of 20\n",
      "processing page 5 of 20\n",
      "processing page 6 of 20\n",
      "processing page 7 of 20\n",
      "processing page 8 of 20\n",
      "processing page 9 of 20\n",
      "processing page 10 of 20\n",
      "processing page 11 of 20\n",
      "processing page 12 of 20\n",
      "processing page 13 of 20\n",
      "processing page 14 of 20\n",
      "processing page 15 of 20\n",
      "processing page 16 of 20\n",
      "processing page 17 of 20\n",
      "processing page 18 of 20\n",
      "processing page 19 of 20\n",
      "processing page 20 of 20\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>published_at</th>\n",
       "      <th>name</th>\n",
       "      <th>author</th>\n",
       "      <th>description</th>\n",
       "      <th>url</th>\n",
       "      <th>year_month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-07-03T15:00:27Z</td>\n",
       "      <td>Fox News</td>\n",
       "      <td>Chris Ciaccia</td>\n",
       "      <td>Fox News China plans 'megarocket' that could o...</td>\n",
       "      <td>http://www.foxnews.com/tech/2018/07/03/china-p...</td>\n",
       "      <td>2018-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-07-03T14:24:47Z</td>\n",
       "      <td>Associated Press</td>\n",
       "      <td>By BRENT ADDLEMAN, New Castle News</td>\n",
       "      <td>NEW CASTLE, Pa. (AP) — Lt. Col. Andrew Morgan ...</td>\n",
       "      <td>https://apnews.com/ebf4d54529874feb86b92c12c5b...</td>\n",
       "      <td>2018-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-07-02T22:01:39Z</td>\n",
       "      <td>Daily Mail</td>\n",
       "      <td>http://www.dailymail.co.uk/home/search.html?s=...</td>\n",
       "      <td>China is working on a super-powerful rocket th...</td>\n",
       "      <td>http://www.dailymail.co.uk/sciencetech/article...</td>\n",
       "      <td>2018-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-07-02T15:54:29Z</td>\n",
       "      <td>Associated Press</td>\n",
       "      <td>By WAYNE PARRY Associated Press</td>\n",
       "      <td>LACEY TOWNSHIP, N.J. (AP) — Federal regulators...</td>\n",
       "      <td>https://apnews.com/8710cbcd59c142779217a967dd2...</td>\n",
       "      <td>2018-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-07-02T15:33:58Z</td>\n",
       "      <td>Daily Mail</td>\n",
       "      <td>http://www.dailymail.co.uk/home/search.html?s=...</td>\n",
       "      <td>SpaceX's capsule reached the station three day...</td>\n",
       "      <td>http://www.dailymail.co.uk/sciencetech/article...</td>\n",
       "      <td>2018-07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           published_at              name  \\\n",
       "0  2018-07-03T15:00:27Z          Fox News   \n",
       "1  2018-07-03T14:24:47Z  Associated Press   \n",
       "2  2018-07-02T22:01:39Z        Daily Mail   \n",
       "3  2018-07-02T15:54:29Z  Associated Press   \n",
       "4  2018-07-02T15:33:58Z        Daily Mail   \n",
       "\n",
       "                                              author  \\\n",
       "0                                      Chris Ciaccia   \n",
       "1                 By BRENT ADDLEMAN, New Castle News   \n",
       "2  http://www.dailymail.co.uk/home/search.html?s=...   \n",
       "3                    By WAYNE PARRY Associated Press   \n",
       "4  http://www.dailymail.co.uk/home/search.html?s=...   \n",
       "\n",
       "                                         description  \\\n",
       "0  Fox News China plans 'megarocket' that could o...   \n",
       "1  NEW CASTLE, Pa. (AP) — Lt. Col. Andrew Morgan ...   \n",
       "2  China is working on a super-powerful rocket th...   \n",
       "3  LACEY TOWNSHIP, N.J. (AP) — Federal regulators...   \n",
       "4  SpaceX's capsule reached the station three day...   \n",
       "\n",
       "                                                 url year_month  \n",
       "0  http://www.foxnews.com/tech/2018/07/03/china-p...    2018-07  \n",
       "1  https://apnews.com/ebf4d54529874feb86b92c12c5b...    2018-07  \n",
       "2  http://www.dailymail.co.uk/sciencetech/article...    2018-07  \n",
       "3  https://apnews.com/8710cbcd59c142779217a967dd2...    2018-07  \n",
       "4  http://www.dailymail.co.uk/sciencetech/article...    2018-07  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "news_dat=news_api_data('spacex')\n",
    "news_dat.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a1b582320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Based on the analysis of \"Overal Quantity of Articles per News Source\" chart, we can notice that Daily Mail published the maximum number of articles (610).\n",
      "New York Magazine published the minimal quantity of articles (6) related to the given keywords.\n"
     ]
    }
   ],
   "source": [
    "def bar_news(news_data):\n",
    "    '''takes a DataFrame as an argument, \n",
    "    creates a bar chart \"Overal Quantity of Articles per News Source\"\n",
    "    ''' \n",
    "    #group data by News Sources names\n",
    "    group_news=news_data.groupby(\"name\")\n",
    "    group_count=group_news['published_at'].count().rename(\"count\")\n",
    "\n",
    "    df_group_count=pd.DataFrame(group_count)\n",
    "    df_group_count.sort_values(by=['count'], inplace=True, ascending=False)\n",
    "    df_group_count.reset_index(inplace=True)\n",
    "    \n",
    "    #create a bar chart to show quantity of articles for each news source \n",
    "    group_name=df_group_count['name']\n",
    "    y_pos=np.arange(len(df_group_count['count']))\n",
    "    plt.figure(figsize=(10, 7))\n",
    "    plt.barh(y_pos, df_group_count['count'], tick_label=group_name, alpha=0.6, color=\"green\")\n",
    "    plt.title(f\"Overal Quantity of Articles per News Source, 09/01/17-{time.strftime('%x')}\")\n",
    "    plt.xlabel(\"Number of Articles\")\n",
    "    plt.savefig(\"news_bar_chart.png\", dpi=100, bbox_inches='tight')\n",
    "    plt.show()\n",
    "    \n",
    "    #add analysis for bar chart\n",
    "    q=len(df_group_count['count'])-1\n",
    "    name_min=df_group_count.iloc[q,0]\n",
    "    min_q=df_group_count.iloc[q,1]\n",
    "    \n",
    "    name_max=df_group_count.iloc[0,0]\n",
    "    max_q=df_group_count.iloc[0,1]\n",
    "    print(f'Based on the analysis of \"Overal Quantity of Articles per News Source\" chart, we can notice that {name_max} published the maximum number of articles ({max_q}).' ) \n",
    "    print(f'{name_min} published the minimal quantity of articles ({min_q}) related to the given keywords.')\n",
    "bar_news(news_dat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year_month</th>\n",
       "      <th>name</th>\n",
       "      <th>description</th>\n",
       "      <th>score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-07</td>\n",
       "      <td>Fox News</td>\n",
       "      <td>Fox News China plans 'megarocket' that could o...</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-07</td>\n",
       "      <td>Associated Press</td>\n",
       "      <td>NEW CASTLE, Pa. (AP) — Lt. Col. Andrew Morgan ...</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-07</td>\n",
       "      <td>Daily Mail</td>\n",
       "      <td>China is working on a super-powerful rocket th...</td>\n",
       "      <td>0.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-07</td>\n",
       "      <td>Associated Press</td>\n",
       "      <td>LACEY TOWNSHIP, N.J. (AP) — Federal regulators...</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-07</td>\n",
       "      <td>Daily Mail</td>\n",
       "      <td>SpaceX's capsule reached the station three day...</td>\n",
       "      <td>0.10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  year_month              name  \\\n",
       "0    2018-07          Fox News   \n",
       "1    2018-07  Associated Press   \n",
       "2    2018-07        Daily Mail   \n",
       "3    2018-07  Associated Press   \n",
       "4    2018-07        Daily Mail   \n",
       "\n",
       "                                         description  score  \n",
       "0  Fox News China plans 'megarocket' that could o...   0.00  \n",
       "1  NEW CASTLE, Pa. (AP) — Lt. Col. Andrew Morgan ...   0.25  \n",
       "2  China is working on a super-powerful rocket th...   0.13  \n",
       "3  LACEY TOWNSHIP, N.J. (AP) — Federal regulators...   0.00  \n",
       "4  SpaceX's capsule reached the station three day...   0.10  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def compound_score_data(news_data):\n",
    "    '''takes a DataFrame as an argument and calculates compound scores for articles description,\n",
    "    returns a new DataFrame\n",
    "    '''\n",
    "    news_data_new=news_data.loc[:,['year_month', 'name', 'description']]\n",
    "    for index, row in news_data_new.iterrows():\n",
    "        text=news_data_new.loc[index,\"description\"]\n",
    "        if text:\n",
    "            results = analyzer.polarity_scores(text)\n",
    "            news_data_new.loc[index,\"score\"]=round(results[\"compound\"],2)\n",
    "        else:\n",
    "            news_data_new.drop(index, inplace=True)\n",
    "    return(news_data_new)\n",
    "compound_df=compound_score_data(news_dat)\n",
    "compound_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a1b5167b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def count_articles_heat_map(news_data): \n",
    "    '''takes a DataFrame as an argument,\n",
    "    creates a heatmap chart \"Number of Articles per Month\"\n",
    "    Since some news sources didn't publish articles on particular months,\n",
    "    using pd.pivot_table gives us a 2D Series where missing values are replaced with NaN.\n",
    "    '''\n",
    "    d_matrix = pd.pivot_table(news_data, \"url\", index=[\"name\"], columns=[\"year_month\"], aggfunc='count')                          \n",
    "    d_matrix.head(20)\n",
    "    fig = plt.figure(figsize=(12,12))\n",
    "    cm = sns.heatmap(d_matrix, cmap='YlGnBu', annot=True, fmt='g')\n",
    "    cm.set_title(f\"Number of Articles per Month, 09/01/17-{time.strftime('%x')}\")\n",
    "    plt.savefig(\"count_values_heat_map.png\", dpi=100)\n",
    "    plt.show()\n",
    "count_articles_heat_map(news_dat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a1b074438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def compound_scores_heat_map(news_data_new):\n",
    "    '''takes a DataFrame with compound scores as an argument,\n",
    "    creates a heatmap chart for average compound scores.\n",
    "    Since some news sources didn't publish articles on particular months,\n",
    "    using pd.pivot_table gives us a 2D Series where missing values are replaced with NaN.\n",
    "    '''\n",
    "    c_matrix = pd.pivot_table(news_data_new, \"score\", index=[\"name\"], columns=[\"year_month\"], aggfunc=np.mean)                          \n",
    "    c_matrix=c_matrix.round(2)\n",
    "    \n",
    "    #create a heatmap chart of the average compound scores\n",
    "    fig = plt.figure(figsize=(12,12))\n",
    "    hm = sns.heatmap(c_matrix, cmap='RdYlGn', annot=True)\n",
    "    hm.set_title(f\"Heatmap of Avg. Compound Scores, 09/01/17-{time.strftime('%x')}\")\n",
    "    plt.savefig(\"compound_scores_heat_map.png\", dpi=100)\n",
    "    plt.show()\n",
    "compound_scores_heat_map(compound_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}