Investigate_a_dataset-TMDb_movie_database.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Project: Investigate a Dataset (TMDb Movie)\n",
    "\n",
    "## Table of Contents\n",
    "<ul>\n",
    "<li><a href=\"#intro\">Introduction</a></li>\n",
    "<li><a href=\"#wrangling\">Data Wrangling</a></li>\n",
    "<li><a href=\"#eda\">Exploratory Data Analysis</a></li>\n",
    "<li><a href=\"#conclusions\">Conclusions</a></li>\n",
    "</ul>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='intro'></a>\n",
    "## Introduction\n",
    ">I am using TMDB movie dataset for this project. this dataset has information about 10,000 movies collected from The Movie Database (TMDb)\n",
    "\n",
    "> #### Introduction to dataset:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import all the packages needed for analysis\n",
    "import numpy as numpy\n",
    "import pandas as pandas\n",
    "import csv\n",
    "from datetime import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "# to Print our visualizations\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> loading data........."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>imdb_id</th>\n",
       "      <th>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>cast</th>\n",
       "      <th>homepage</th>\n",
       "      <th>director</th>\n",
       "      <th>tagline</th>\n",
       "      <th>...</th>\n",
       "      <th>overview</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>135397</td>\n",
       "      <td>tt0369610</td>\n",
       "      <td>32.985763</td>\n",
       "      <td>150000000</td>\n",
       "      <td>1513528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...</td>\n",
       "      <td>http://www.jurassicworld.com/</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>The park is open.</td>\n",
       "      <td>...</td>\n",
       "      <td>Twenty-two years after the events of Jurassic ...</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Universal Studios|Amblin Entertainment|Legenda...</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>5562</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.379999e+08</td>\n",
       "      <td>1.392446e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>76341</td>\n",
       "      <td>tt1392190</td>\n",
       "      <td>28.419936</td>\n",
       "      <td>150000000</td>\n",
       "      <td>378436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...</td>\n",
       "      <td>http://www.madmaxmovie.com/</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>What a Lovely Day.</td>\n",
       "      <td>...</td>\n",
       "      <td>An apocalyptic story set in the furthest reach...</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Village Roadshow Pictures|Kennedy Miller Produ...</td>\n",
       "      <td>5/13/15</td>\n",
       "      <td>6185</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.379999e+08</td>\n",
       "      <td>3.481613e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>262500</td>\n",
       "      <td>tt2908446</td>\n",
       "      <td>13.112507</td>\n",
       "      <td>110000000</td>\n",
       "      <td>295238201</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>Shailene Woodley|Theo James|Kate Winslet|Ansel...</td>\n",
       "      <td>http://www.thedivergentseries.movie/#insurgent</td>\n",
       "      <td>Robert Schwentke</td>\n",
       "      <td>One Choice Can Destroy You</td>\n",
       "      <td>...</td>\n",
       "      <td>Beatrice Prior must confront her inner demons ...</td>\n",
       "      <td>119</td>\n",
       "      <td>Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Summit Entertainment|Mandeville Films|Red Wago...</td>\n",
       "      <td>3/18/15</td>\n",
       "      <td>2480</td>\n",
       "      <td>6.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.012000e+08</td>\n",
       "      <td>2.716190e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>140607</td>\n",
       "      <td>tt2488496</td>\n",
       "      <td>11.173104</td>\n",
       "      <td>200000000</td>\n",
       "      <td>2068178225</td>\n",
       "      <td>Star Wars: The Force Awakens</td>\n",
       "      <td>Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...</td>\n",
       "      <td>http://www.starwars.com/films/star-wars-episod...</td>\n",
       "      <td>J.J. Abrams</td>\n",
       "      <td>Every generation has a story.</td>\n",
       "      <td>...</td>\n",
       "      <td>Thirty years after defeating the Galactic Empi...</td>\n",
       "      <td>136</td>\n",
       "      <td>Action|Adventure|Science Fiction|Fantasy</td>\n",
       "      <td>Lucasfilm|Truenorth Productions|Bad Robot</td>\n",
       "      <td>12/15/15</td>\n",
       "      <td>5292</td>\n",
       "      <td>7.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.839999e+08</td>\n",
       "      <td>1.902723e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>168259</td>\n",
       "      <td>tt2820852</td>\n",
       "      <td>9.335014</td>\n",
       "      <td>190000000</td>\n",
       "      <td>1506249360</td>\n",
       "      <td>Furious 7</td>\n",
       "      <td>Vin Diesel|Paul Walker|Jason Statham|Michelle ...</td>\n",
       "      <td>http://www.furious7.com/</td>\n",
       "      <td>James Wan</td>\n",
       "      <td>Vengeance Hits Home</td>\n",
       "      <td>...</td>\n",
       "      <td>Deckard Shaw seeks revenge against Dominic Tor...</td>\n",
       "      <td>137</td>\n",
       "      <td>Action|Crime|Thriller</td>\n",
       "      <td>Universal Pictures|Original Film|Media Rights ...</td>\n",
       "      <td>4/1/15</td>\n",
       "      <td>2947</td>\n",
       "      <td>7.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.747999e+08</td>\n",
       "      <td>1.385749e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       id    imdb_id  popularity     budget     revenue  \\\n",
       "0  135397  tt0369610   32.985763  150000000  1513528810   \n",
       "1   76341  tt1392190   28.419936  150000000   378436354   \n",
       "2  262500  tt2908446   13.112507  110000000   295238201   \n",
       "3  140607  tt2488496   11.173104  200000000  2068178225   \n",
       "4  168259  tt2820852    9.335014  190000000  1506249360   \n",
       "\n",
       "                 original_title  \\\n",
       "0                Jurassic World   \n",
       "1            Mad Max: Fury Road   \n",
       "2                     Insurgent   \n",
       "3  Star Wars: The Force Awakens   \n",
       "4                     Furious 7   \n",
       "\n",
       "                                                cast  \\\n",
       "0  Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...   \n",
       "1  Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...   \n",
       "2  Shailene Woodley|Theo James|Kate Winslet|Ansel...   \n",
       "3  Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...   \n",
       "4  Vin Diesel|Paul Walker|Jason Statham|Michelle ...   \n",
       "\n",
       "                                            homepage          director  \\\n",
       "0                      http://www.jurassicworld.com/   Colin Trevorrow   \n",
       "1                        http://www.madmaxmovie.com/     George Miller   \n",
       "2     http://www.thedivergentseries.movie/#insurgent  Robert Schwentke   \n",
       "3  http://www.starwars.com/films/star-wars-episod...       J.J. Abrams   \n",
       "4                           http://www.furious7.com/         James Wan   \n",
       "\n",
       "                         tagline      ...       \\\n",
       "0              The park is open.      ...        \n",
       "1             What a Lovely Day.      ...        \n",
       "2     One Choice Can Destroy You      ...        \n",
       "3  Every generation has a story.      ...        \n",
       "4            Vengeance Hits Home      ...        \n",
       "\n",
       "                                            overview runtime  \\\n",
       "0  Twenty-two years after the events of Jurassic ...     124   \n",
       "1  An apocalyptic story set in the furthest reach...     120   \n",
       "2  Beatrice Prior must confront her inner demons ...     119   \n",
       "3  Thirty years after defeating the Galactic Empi...     136   \n",
       "4  Deckard Shaw seeks revenge against Dominic Tor...     137   \n",
       "\n",
       "                                      genres  \\\n",
       "0  Action|Adventure|Science Fiction|Thriller   \n",
       "1  Action|Adventure|Science Fiction|Thriller   \n",
       "2         Adventure|Science Fiction|Thriller   \n",
       "3   Action|Adventure|Science Fiction|Fantasy   \n",
       "4                      Action|Crime|Thriller   \n",
       "\n",
       "                                production_companies release_date vote_count  \\\n",
       "0  Universal Studios|Amblin Entertainment|Legenda...       6/9/15       5562   \n",
       "1  Village Roadshow Pictures|Kennedy Miller Produ...      5/13/15       6185   \n",
       "2  Summit Entertainment|Mandeville Films|Red Wago...      3/18/15       2480   \n",
       "3          Lucasfilm|Truenorth Productions|Bad Robot     12/15/15       5292   \n",
       "4  Universal Pictures|Original Film|Media Rights ...       4/1/15       2947   \n",
       "\n",
       "   vote_average  release_year    budget_adj   revenue_adj  \n",
       "0           6.5          2015  1.379999e+08  1.392446e+09  \n",
       "1           7.1          2015  1.379999e+08  3.481613e+08  \n",
       "2           6.3          2015  1.012000e+08  2.716190e+08  \n",
       "3           7.5          2015  1.839999e+08  1.902723e+09  \n",
       "4           7.3          2015  1.747999e+08  1.385749e+09  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = pandas.read_csv('tmdb-movies.csv')\n",
    "ds.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> #### Questions that can be answered by looking at the datasets are:\n",
    "> ##### Some general questions that can be answered are:\n",
    "> <ol>\n",
    "> <li>Which movie had the highest and lowest profit?</li>\n",
    "> <li>Which movie had the greatest and least runtime?</li>\n",
    "> <li>What is the average runtime of all movies?</li>\n",
    "> <li>Which movie had the highest and lowest budget?</li>\n",
    "> <li>Which movie had the highest and lowest revenue?</li>\n",
    "> </ol>\n",
    ">\n",
    "> ##### Some questions that can be answered based on the Profit of movies making more then 30M Dollars:\n",
    "> <ol>\n",
    "> <li>What is the average budget of the movie?</li>\n",
    "> <li>What is the average revenue of the movie?</li>\n",
    "> <li>What is the average runtime of the movie?</li>\n",
    "> <li>Which are the successfull genres?</li>\n",
    "> <li>Which are the most frequent cast involved?</li>\n",
    "> </ol>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='wrangling'></a>\n",
    "## Data Wrangling\n",
    "\n",
    ">Here I will clean and trim dataset for analysis.\n",
    ">\n",
    "> #### Observations from above dataset are:\n",
    "> <ol>\n",
    "> <li>dataset do not provide the currency for  columns i am dealing with so chose dollars as currency</li>\n",
    "> </ol>\n",
    "> Let's check the dataset "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>imdb_id</th>\n",
       "      <th>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>cast</th>\n",
       "      <th>homepage</th>\n",
       "      <th>director</th>\n",
       "      <th>tagline</th>\n",
       "      <th>...</th>\n",
       "      <th>overview</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>135397</td>\n",
       "      <td>tt0369610</td>\n",
       "      <td>32.985763</td>\n",
       "      <td>150000000</td>\n",
       "      <td>1513528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...</td>\n",
       "      <td>http://www.jurassicworld.com/</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>The park is open.</td>\n",
       "      <td>...</td>\n",
       "      <td>Twenty-two years after the events of Jurassic ...</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Universal Studios|Amblin Entertainment|Legenda...</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>5562</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.379999e+08</td>\n",
       "      <td>1.392446e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>76341</td>\n",
       "      <td>tt1392190</td>\n",
       "      <td>28.419936</td>\n",
       "      <td>150000000</td>\n",
       "      <td>378436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...</td>\n",
       "      <td>http://www.madmaxmovie.com/</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>What a Lovely Day.</td>\n",
       "      <td>...</td>\n",
       "      <td>An apocalyptic story set in the furthest reach...</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Village Roadshow Pictures|Kennedy Miller Produ...</td>\n",
       "      <td>5/13/15</td>\n",
       "      <td>6185</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.379999e+08</td>\n",
       "      <td>3.481613e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>262500</td>\n",
       "      <td>tt2908446</td>\n",
       "      <td>13.112507</td>\n",
       "      <td>110000000</td>\n",
       "      <td>295238201</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>Shailene Woodley|Theo James|Kate Winslet|Ansel...</td>\n",
       "      <td>http://www.thedivergentseries.movie/#insurgent</td>\n",
       "      <td>Robert Schwentke</td>\n",
       "      <td>One Choice Can Destroy You</td>\n",
       "      <td>...</td>\n",
       "      <td>Beatrice Prior must confront her inner demons ...</td>\n",
       "      <td>119</td>\n",
       "      <td>Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Summit Entertainment|Mandeville Films|Red Wago...</td>\n",
       "      <td>3/18/15</td>\n",
       "      <td>2480</td>\n",
       "      <td>6.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.012000e+08</td>\n",
       "      <td>2.716190e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>140607</td>\n",
       "      <td>tt2488496</td>\n",
       "      <td>11.173104</td>\n",
       "      <td>200000000</td>\n",
       "      <td>2068178225</td>\n",
       "      <td>Star Wars: The Force Awakens</td>\n",
       "      <td>Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...</td>\n",
       "      <td>http://www.starwars.com/films/star-wars-episod...</td>\n",
       "      <td>J.J. Abrams</td>\n",
       "      <td>Every generation has a story.</td>\n",
       "      <td>...</td>\n",
       "      <td>Thirty years after defeating the Galactic Empi...</td>\n",
       "      <td>136</td>\n",
       "      <td>Action|Adventure|Science Fiction|Fantasy</td>\n",
       "      <td>Lucasfilm|Truenorth Productions|Bad Robot</td>\n",
       "      <td>12/15/15</td>\n",
       "      <td>5292</td>\n",
       "      <td>7.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.839999e+08</td>\n",
       "      <td>1.902723e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>168259</td>\n",
       "      <td>tt2820852</td>\n",
       "      <td>9.335014</td>\n",
       "      <td>190000000</td>\n",
       "      <td>1506249360</td>\n",
       "      <td>Furious 7</td>\n",
       "      <td>Vin Diesel|Paul Walker|Jason Statham|Michelle ...</td>\n",
       "      <td>http://www.furious7.com/</td>\n",
       "      <td>James Wan</td>\n",
       "      <td>Vengeance Hits Home</td>\n",
       "      <td>...</td>\n",
       "      <td>Deckard Shaw seeks revenge against Dominic Tor...</td>\n",
       "      <td>137</td>\n",
       "      <td>Action|Crime|Thriller</td>\n",
       "      <td>Universal Pictures|Original Film|Media Rights ...</td>\n",
       "      <td>4/1/15</td>\n",
       "      <td>2947</td>\n",
       "      <td>7.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.747999e+08</td>\n",
       "      <td>1.385749e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       id    imdb_id  popularity     budget     revenue  \\\n",
       "0  135397  tt0369610   32.985763  150000000  1513528810   \n",
       "1   76341  tt1392190   28.419936  150000000   378436354   \n",
       "2  262500  tt2908446   13.112507  110000000   295238201   \n",
       "3  140607  tt2488496   11.173104  200000000  2068178225   \n",
       "4  168259  tt2820852    9.335014  190000000  1506249360   \n",
       "\n",
       "                 original_title  \\\n",
       "0                Jurassic World   \n",
       "1            Mad Max: Fury Road   \n",
       "2                     Insurgent   \n",
       "3  Star Wars: The Force Awakens   \n",
       "4                     Furious 7   \n",
       "\n",
       "                                                cast  \\\n",
       "0  Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...   \n",
       "1  Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...   \n",
       "2  Shailene Woodley|Theo James|Kate Winslet|Ansel...   \n",
       "3  Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...   \n",
       "4  Vin Diesel|Paul Walker|Jason Statham|Michelle ...   \n",
       "\n",
       "                                            homepage          director  \\\n",
       "0                      http://www.jurassicworld.com/   Colin Trevorrow   \n",
       "1                        http://www.madmaxmovie.com/     George Miller   \n",
       "2     http://www.thedivergentseries.movie/#insurgent  Robert Schwentke   \n",
       "3  http://www.starwars.com/films/star-wars-episod...       J.J. Abrams   \n",
       "4                           http://www.furious7.com/         James Wan   \n",
       "\n",
       "                         tagline      ...       \\\n",
       "0              The park is open.      ...        \n",
       "1             What a Lovely Day.      ...        \n",
       "2     One Choice Can Destroy You      ...        \n",
       "3  Every generation has a story.      ...        \n",
       "4            Vengeance Hits Home      ...        \n",
       "\n",
       "                                            overview runtime  \\\n",
       "0  Twenty-two years after the events of Jurassic ...     124   \n",
       "1  An apocalyptic story set in the furthest reach...     120   \n",
       "2  Beatrice Prior must confront her inner demons ...     119   \n",
       "3  Thirty years after defeating the Galactic Empi...     136   \n",
       "4  Deckard Shaw seeks revenge against Dominic Tor...     137   \n",
       "\n",
       "                                      genres  \\\n",
       "0  Action|Adventure|Science Fiction|Thriller   \n",
       "1  Action|Adventure|Science Fiction|Thriller   \n",
       "2         Adventure|Science Fiction|Thriller   \n",
       "3   Action|Adventure|Science Fiction|Fantasy   \n",
       "4                      Action|Crime|Thriller   \n",
       "\n",
       "                                production_companies release_date vote_count  \\\n",
       "0  Universal Studios|Amblin Entertainment|Legenda...       6/9/15       5562   \n",
       "1  Village Roadshow Pictures|Kennedy Miller Produ...      5/13/15       6185   \n",
       "2  Summit Entertainment|Mandeville Films|Red Wago...      3/18/15       2480   \n",
       "3          Lucasfilm|Truenorth Productions|Bad Robot     12/15/15       5292   \n",
       "4  Universal Pictures|Original Film|Media Rights ...       4/1/15       2947   \n",
       "\n",
       "   vote_average  release_year    budget_adj   revenue_adj  \n",
       "0           6.5          2015  1.379999e+08  1.392446e+09  \n",
       "1           7.1          2015  1.379999e+08  3.481613e+08  \n",
       "2           6.3          2015  1.012000e+08  2.716190e+08  \n",
       "3           7.5          2015  1.839999e+08  1.902723e+09  \n",
       "4           7.3          2015  1.747999e+08  1.385749e+09  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>1.086600e+04</td>\n",
       "      <td>1.086600e+04</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>1.086600e+04</td>\n",
       "      <td>1.086600e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>66064.177434</td>\n",
       "      <td>0.646441</td>\n",
       "      <td>1.462570e+07</td>\n",
       "      <td>3.982332e+07</td>\n",
       "      <td>102.070863</td>\n",
       "      <td>217.389748</td>\n",
       "      <td>5.974922</td>\n",
       "      <td>2001.322658</td>\n",
       "      <td>1.755104e+07</td>\n",
       "      <td>5.136436e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>92130.136561</td>\n",
       "      <td>1.000185</td>\n",
       "      <td>3.091321e+07</td>\n",
       "      <td>1.170035e+08</td>\n",
       "      <td>31.381405</td>\n",
       "      <td>575.619058</td>\n",
       "      <td>0.935142</td>\n",
       "      <td>12.812941</td>\n",
       "      <td>3.430616e+07</td>\n",
       "      <td>1.446325e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000065</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>1960.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>10596.250000</td>\n",
       "      <td>0.207583</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>1995.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>20669.000000</td>\n",
       "      <td>0.383856</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2006.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>75610.000000</td>\n",
       "      <td>0.713817</td>\n",
       "      <td>1.500000e+07</td>\n",
       "      <td>2.400000e+07</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>145.750000</td>\n",
       "      <td>6.600000</td>\n",
       "      <td>2011.000000</td>\n",
       "      <td>2.085325e+07</td>\n",
       "      <td>3.369710e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>417859.000000</td>\n",
       "      <td>32.985763</td>\n",
       "      <td>4.250000e+08</td>\n",
       "      <td>2.781506e+09</td>\n",
       "      <td>900.000000</td>\n",
       "      <td>9767.000000</td>\n",
       "      <td>9.200000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>4.250000e+08</td>\n",
       "      <td>2.827124e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  id    popularity        budget       revenue       runtime  \\\n",
       "count   10866.000000  10866.000000  1.086600e+04  1.086600e+04  10866.000000   \n",
       "mean    66064.177434      0.646441  1.462570e+07  3.982332e+07    102.070863   \n",
       "std     92130.136561      1.000185  3.091321e+07  1.170035e+08     31.381405   \n",
       "min         5.000000      0.000065  0.000000e+00  0.000000e+00      0.000000   \n",
       "25%     10596.250000      0.207583  0.000000e+00  0.000000e+00     90.000000   \n",
       "50%     20669.000000      0.383856  0.000000e+00  0.000000e+00     99.000000   \n",
       "75%     75610.000000      0.713817  1.500000e+07  2.400000e+07    111.000000   \n",
       "max    417859.000000     32.985763  4.250000e+08  2.781506e+09    900.000000   \n",
       "\n",
       "         vote_count  vote_average  release_year    budget_adj   revenue_adj  \n",
       "count  10866.000000  10866.000000  10866.000000  1.086600e+04  1.086600e+04  \n",
       "mean     217.389748      5.974922   2001.322658  1.755104e+07  5.136436e+07  \n",
       "std      575.619058      0.935142     12.812941  3.430616e+07  1.446325e+08  \n",
       "min       10.000000      1.500000   1960.000000  0.000000e+00  0.000000e+00  \n",
       "25%       17.000000      5.400000   1995.000000  0.000000e+00  0.000000e+00  \n",
       "50%       38.000000      6.000000   2006.000000  0.000000e+00  0.000000e+00  \n",
       "75%      145.750000      6.600000   2011.000000  2.085325e+07  3.369710e+07  \n",
       "max     9767.000000      9.200000   2015.000000  4.250000e+08  2.827124e+09  "
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10866 entries, 0 to 10865\n",
      "Data columns (total 21 columns):\n",
      "id                      10866 non-null int64\n",
      "imdb_id                 10856 non-null object\n",
      "popularity              10866 non-null float64\n",
      "budget                  10866 non-null int64\n",
      "revenue                 10866 non-null int64\n",
      "original_title          10866 non-null object\n",
      "cast                    10790 non-null object\n",
      "homepage                2936 non-null object\n",
      "director                10822 non-null object\n",
      "tagline                 8042 non-null object\n",
      "keywords                9373 non-null object\n",
      "overview                10862 non-null object\n",
      "runtime                 10866 non-null int64\n",
      "genres                  10843 non-null object\n",
      "production_companies    9836 non-null object\n",
      "release_date            10866 non-null object\n",
      "vote_count              10866 non-null int64\n",
      "vote_average            10866 non-null float64\n",
      "release_year            10866 non-null int64\n",
      "budget_adj              10866 non-null float64\n",
      "revenue_adj             10866 non-null float64\n",
      "dtypes: float64(4), int64(6), object(11)\n",
      "memory usage: 1.7+ MB\n"
     ]
    }
   ],
   "source": [
    "ds.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(ds.duplicated())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">Data Cleaning\n",
    ">let's remove some columns such as 'id', 'imdb_id', 'popularity', 'budget_adj', 'revenue_adj', 'homepage',etc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>cast</th>\n",
       "      <th>runtime</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>150000000</td>\n",
       "      <td>1513528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>150000000</td>\n",
       "      <td>378436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>5/13/15</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>110000000</td>\n",
       "      <td>295238201</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>Shailene Woodley|Theo James|Kate Winslet|Ansel...</td>\n",
       "      <td>119</td>\n",
       "      <td>Adventure|Science Fiction|Thriller</td>\n",
       "      <td>3/18/15</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>200000000</td>\n",
       "      <td>2068178225</td>\n",
       "      <td>Star Wars: The Force Awakens</td>\n",
       "      <td>Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...</td>\n",
       "      <td>136</td>\n",
       "      <td>Action|Adventure|Science Fiction|Fantasy</td>\n",
       "      <td>12/15/15</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>190000000</td>\n",
       "      <td>1506249360</td>\n",
       "      <td>Furious 7</td>\n",
       "      <td>Vin Diesel|Paul Walker|Jason Statham|Michelle ...</td>\n",
       "      <td>137</td>\n",
       "      <td>Action|Crime|Thriller</td>\n",
       "      <td>4/1/15</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget     revenue                original_title  \\\n",
       "0  150000000  1513528810                Jurassic World   \n",
       "1  150000000   378436354            Mad Max: Fury Road   \n",
       "2  110000000   295238201                     Insurgent   \n",
       "3  200000000  2068178225  Star Wars: The Force Awakens   \n",
       "4  190000000  1506249360                     Furious 7   \n",
       "\n",
       "                                                cast  runtime  \\\n",
       "0  Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...      124   \n",
       "1  Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...      120   \n",
       "2  Shailene Woodley|Theo James|Kate Winslet|Ansel...      119   \n",
       "3  Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...      136   \n",
       "4  Vin Diesel|Paul Walker|Jason Statham|Michelle ...      137   \n",
       "\n",
       "                                      genres release_date  release_year  \n",
       "0  Action|Adventure|Science Fiction|Thriller       6/9/15          2015  \n",
       "1  Action|Adventure|Science Fiction|Thriller      5/13/15          2015  \n",
       "2         Adventure|Science Fiction|Thriller      3/18/15          2015  \n",
       "3   Action|Adventure|Science Fiction|Fantasy     12/15/15          2015  \n",
       "4                      Action|Crime|Thriller       4/1/15          2015  "
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "DeletedColumns = [ 'id', 'imdb_id', 'popularity', 'budget_adj', 'revenue_adj', 'homepage', 'keywords', 'director', 'tagline', 'overview', 'production_companies', 'vote_count', 'vote_average']\n",
    "ds.drop(DeletedColumns, axis=1, inplace=True)\n",
    "ds.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Let us see the count of entries in our data set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We have 10865 total rows and 8 columns.\n"
     ]
    }
   ],
   "source": [
    "rows, col = ds.shape\n",
    "print('We have {} total rows and {} columns.'.format(rows-1, col))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Let us delete the duplicated row that we have in our data set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After droping duplicates we have 10864 total rows and 8 columns.\n"
     ]
    }
   ],
   "source": [
    "\n",
    "ds.drop_duplicates(keep = 'first', inplace = True)\n",
    "rows, col = ds.shape\n",
    "print('After droping duplicates we have {} total rows and {} columns.'.format(rows-1, col))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">We cannot calculate profit for movies having the budget or revenue have a value of '0'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We now have only 3853 rows.\n"
     ]
    }
   ],
   "source": [
    "\n",
    "columns = ['budget', 'revenue']\n",
    "ds[columns] = ds[columns].replace(0, np.NaN)\n",
    "ds.dropna(subset = columns, inplace = True)\n",
    "rows, col = ds.shape\n",
    "print('We now have only {} rows.'.format(rows-1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">converting release_date column into date format."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>cast</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>release_date</th>\n",
       "      <th>release_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>150000000.0</td>\n",
       "      <td>1.513529e+09</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>2015-06-09</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>150000000.0</td>\n",
       "      <td>3.784364e+08</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>2015-05-13</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>110000000.0</td>\n",
       "      <td>2.952382e+08</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>Shailene Woodley|Theo James|Kate Winslet|Ansel...</td>\n",
       "      <td>119</td>\n",
       "      <td>Adventure|Science Fiction|Thriller</td>\n",
       "      <td>2015-03-18</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>200000000.0</td>\n",
       "      <td>2.068178e+09</td>\n",
       "      <td>Star Wars: The Force Awakens</td>\n",
       "      <td>Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...</td>\n",
       "      <td>136</td>\n",
       "      <td>Action|Adventure|Science Fiction|Fantasy</td>\n",
       "      <td>2015-12-15</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>190000000.0</td>\n",
       "      <td>1.506249e+09</td>\n",
       "      <td>Furious 7</td>\n",
       "      <td>Vin Diesel|Paul Walker|Jason Statham|Michelle ...</td>\n",
       "      <td>137</td>\n",
       "      <td>Action|Crime|Thriller</td>\n",
       "      <td>2015-04-01</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        budget       revenue                original_title  \\\n",
       "0  150000000.0  1.513529e+09                Jurassic World   \n",
       "1  150000000.0  3.784364e+08            Mad Max: Fury Road   \n",
       "2  110000000.0  2.952382e+08                     Insurgent   \n",
       "3  200000000.0  2.068178e+09  Star Wars: The Force Awakens   \n",
       "4  190000000.0  1.506249e+09                     Furious 7   \n",
       "\n",
       "                                                cast  runtime  \\\n",
       "0  Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...      124   \n",
       "1  Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...      120   \n",
       "2  Shailene Woodley|Theo James|Kate Winslet|Ansel...      119   \n",
       "3  Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...      136   \n",
       "4  Vin Diesel|Paul Walker|Jason Statham|Michelle ...      137   \n",
       "\n",
       "                                      genres release_date  release_year  \n",
       "0  Action|Adventure|Science Fiction|Thriller   2015-06-09          2015  \n",
       "1  Action|Adventure|Science Fiction|Thriller   2015-05-13          2015  \n",
       "2         Adventure|Science Fiction|Thriller   2015-03-18          2015  \n",
       "3   Action|Adventure|Science Fiction|Fantasy   2015-12-15          2015  \n",
       "4                      Action|Crime|Thriller   2015-04-01          2015  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "ds.release_date = pandas.to_datetime(ds['release_date'])\n",
    "\n",
    "ds.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Fifth, Convert budget and revenue column to int datatype."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "budget                     int64\n",
       "revenue                    int64\n",
       "original_title            object\n",
       "cast                      object\n",
       "runtime                    int64\n",
       "genres                    object\n",
       "release_date      datetime64[ns]\n",
       "release_year               int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "columns = ['budget', 'revenue']\n",
    "ds[columns] = ds[columns].applymap(numpy.int64)\n",
    "ds.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Replace runtime value of 0 to NAN."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "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>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>release_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3.854000e+03</td>\n",
       "      <td>3.854000e+03</td>\n",
       "      <td>3854.000000</td>\n",
       "      <td>3854.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.720370e+07</td>\n",
       "      <td>1.076866e+08</td>\n",
       "      <td>109.220291</td>\n",
       "      <td>2001.261028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4.220822e+07</td>\n",
       "      <td>1.765393e+08</td>\n",
       "      <td>19.922820</td>\n",
       "      <td>11.282575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>2.000000e+00</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>1960.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000e+07</td>\n",
       "      <td>1.360003e+07</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>1995.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.400000e+07</td>\n",
       "      <td>4.480000e+07</td>\n",
       "      <td>106.000000</td>\n",
       "      <td>2004.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5.000000e+07</td>\n",
       "      <td>1.242125e+08</td>\n",
       "      <td>119.000000</td>\n",
       "      <td>2010.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4.250000e+08</td>\n",
       "      <td>2.781506e+09</td>\n",
       "      <td>338.000000</td>\n",
       "      <td>2015.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             budget       revenue      runtime  release_year\n",
       "count  3.854000e+03  3.854000e+03  3854.000000   3854.000000\n",
       "mean   3.720370e+07  1.076866e+08   109.220291   2001.261028\n",
       "std    4.220822e+07  1.765393e+08    19.922820     11.282575\n",
       "min    1.000000e+00  2.000000e+00    15.000000   1960.000000\n",
       "25%    1.000000e+07  1.360003e+07    95.000000   1995.000000\n",
       "50%    2.400000e+07  4.480000e+07   106.000000   2004.000000\n",
       "75%    5.000000e+07  1.242125e+08   119.000000   2010.000000\n",
       "max    4.250000e+08  2.781506e+09   338.000000   2015.000000"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "ds['runtime'] = ds['runtime'].replace(0, numpy.NaN)\n",
    "ds.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Data Wrangling completed  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='eda'></a>\n",
    "## Exploratory Data Analysis\n",
    "### Research Question 1.1 (Which movie had the highest and lowest profit?)\n",
    "\n",
    "> So we will first add a column for profit in our dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "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>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>cast</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>release_date</th>\n",
       "      <th>release_year</th>\n",
       "      <th>profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>150000000</td>\n",
       "      <td>1513528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>2015-06-09</td>\n",
       "      <td>2015</td>\n",
       "      <td>1363528810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>150000000</td>\n",
       "      <td>378436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>2015-05-13</td>\n",
       "      <td>2015</td>\n",
       "      <td>228436354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>110000000</td>\n",
       "      <td>295238201</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>Shailene Woodley|Theo James|Kate Winslet|Ansel...</td>\n",
       "      <td>119</td>\n",
       "      <td>Adventure|Science Fiction|Thriller</td>\n",
       "      <td>2015-03-18</td>\n",
       "      <td>2015</td>\n",
       "      <td>185238201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>200000000</td>\n",
       "      <td>2068178225</td>\n",
       "      <td>Star Wars: The Force Awakens</td>\n",
       "      <td>Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...</td>\n",
       "      <td>136</td>\n",
       "      <td>Action|Adventure|Science Fiction|Fantasy</td>\n",
       "      <td>2015-12-15</td>\n",
       "      <td>2015</td>\n",
       "      <td>1868178225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>190000000</td>\n",
       "      <td>1506249360</td>\n",
       "      <td>Furious 7</td>\n",
       "      <td>Vin Diesel|Paul Walker|Jason Statham|Michelle ...</td>\n",
       "      <td>137</td>\n",
       "      <td>Action|Crime|Thriller</td>\n",
       "      <td>2015-04-01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1316249360</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget     revenue                original_title  \\\n",
       "0  150000000  1513528810                Jurassic World   \n",
       "1  150000000   378436354            Mad Max: Fury Road   \n",
       "2  110000000   295238201                     Insurgent   \n",
       "3  200000000  2068178225  Star Wars: The Force Awakens   \n",
       "4  190000000  1506249360                     Furious 7   \n",
       "\n",
       "                                                cast  runtime  \\\n",
       "0  Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...      124   \n",
       "1  Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...      120   \n",
       "2  Shailene Woodley|Theo James|Kate Winslet|Ansel...      119   \n",
       "3  Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...      136   \n",
       "4  Vin Diesel|Paul Walker|Jason Statham|Michelle ...      137   \n",
       "\n",
       "                                      genres release_date  release_year  \\\n",
       "0  Action|Adventure|Science Fiction|Thriller   2015-06-09          2015   \n",
       "1  Action|Adventure|Science Fiction|Thriller   2015-05-13          2015   \n",
       "2         Adventure|Science Fiction|Thriller   2015-03-18          2015   \n",
       "3   Action|Adventure|Science Fiction|Fantasy   2015-12-15          2015   \n",
       "4                      Action|Crime|Thriller   2015-04-01          2015   \n",
       "\n",
       "       profit  \n",
       "0  1363528810  \n",
       "1   228436354  \n",
       "2   185238201  \n",
       "3  1868178225  \n",
       "4  1316249360  "
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds['profit'] = ds['revenue'] - ds['budget']\n",
    "ds.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "budget                                                    237000000\n",
       "revenue                                                  2781505847\n",
       "original_title                                               Avatar\n",
       "cast              Sam Worthington|Zoe Saldana|Sigourney Weaver|S...\n",
       "runtime                                                         162\n",
       "genres                     Action|Adventure|Fantasy|Science Fiction\n",
       "release_date                                    2009-12-10 00:00:00\n",
       "release_year                                                   2009\n",
       "profit                                                   2544505847\n",
       "Name: 1386, dtype: object"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.loc[ds['profit'].idxmax()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "budget                                                    425000000\n",
       "revenue                                                    11087569\n",
       "original_title                                    The Warrior's Way\n",
       "cast              Kate Bosworth|Jang Dong-gun|Geoffrey Rush|Dann...\n",
       "runtime                                                         100\n",
       "genres                    Adventure|Fantasy|Action|Western|Thriller\n",
       "release_date                                    2010-12-02 00:00:00\n",
       "release_year                                                   2010\n",
       "profit                                                   -413912431\n",
       "Name: 2244, dtype: object"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.loc[ds['profit'].idxmin()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> #### Which movie had the highest and lowest profit?\n",
    "> Highest :-  Avatar with profit of $254450584.  Lowest:-  The Warrior's Way with profit of $-413912431 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 1.2  (Which movie had the greatest and least runtime?)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "budget                                                     18000000\n",
       "revenue                                                      871279\n",
       "original_title                                               Carlos\n",
       "cast              Edgar RamÃ­rez|Alexander Scheer|Fadi Abi Samra...\n",
       "runtime                                                         338\n",
       "genres                                 Crime|Drama|Thriller|History\n",
       "release_date                                    2010-05-19 00:00:00\n",
       "release_year                                                   2010\n",
       "profit                                                    -17128721\n",
       "Name: 2107, dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.loc[ds['runtime'].idxmax()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "budget                                                           10\n",
       "revenue                                                           5\n",
       "original_title                                          Kid's Story\n",
       "cast              Clayton Watson|Keanu Reeves|Carrie-Anne Moss|K...\n",
       "runtime                                                          15\n",
       "genres                                    Science Fiction|Animation\n",
       "release_date                                    2003-06-02 00:00:00\n",
       "release_year                                                   2003\n",
       "profit                                                           -5\n",
       "Name: 5162, dtype: object"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.loc[ds['runtime'].idxmin()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> #### Which movie had the greatest and least runtime?\n",
    "> Greatest :- Carlos with runtime of 338 minutes\n",
    "> Least :-  Kid's Story with runtime of 15 minutes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 1.3  (What is the average runtime of all movies?)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "109.22029060716139"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds['runtime'].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> #### What is the average runtime of all movies?\n",
    "> Average runtime of the movies was 109.22 minutes\n",
    ">\n",
    "> Let us plot a histogram for the same."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([3.000e+00, 3.900e+01, 2.359e+03, 1.264e+03, 1.490e+02, 3.400e+01,\n",
       "        4.000e+00, 1.000e+00, 0.000e+00, 1.000e+00]),\n",
       " array([ 15. ,  47.3,  79.6, 111.9, 144.2, 176.5, 208.8, 241.1, 273.4,\n",
       "        305.7, 338. ]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.xlabel('Runtime of Movies in Minutes',size=14)\n",
    "plt.ylabel('Number of Movies',size=14)\n",
    "plt.title('Runtime distribution of all the movies' ,size=16)\n",
    "plt.hist(ds['runtime'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> We can see that most of the movie are in the range of 100 minutes to 120 minutes.\n",
    ">\n",
    "> Let us check if there a relation between the Runtime and Profit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.xlabel('Runtime in Minutes',size=14)\n",
    "plt.ylabel('Profit in Dollars',size=14)\n",
    "plt.title('Relationship between runtime and profit',size=16)\n",
    "plt.scatter(ds['runtime'], ds['profit'], alpha=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Most of the movies have runtime in range of 85 to 120 Minutes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 1.4  (Which movie had the highest and lowest budget?)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "budget                                                    425000000\n",
       "revenue                                                    11087569\n",
       "original_title                                    The Warrior's Way\n",
       "cast              Kate Bosworth|Jang Dong-gun|Geoffrey Rush|Dann...\n",
       "runtime                                                         100\n",
       "genres                    Adventure|Fantasy|Action|Western|Thriller\n",
       "release_date                                    2010-12-02 00:00:00\n",
       "release_year                                                   2010\n",
       "profit                                                   -413912431\n",
       "Name: 2244, dtype: object"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.loc[ds['budget'].idxmax()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "budget                                                            1\n",
       "revenue                                                         100\n",
       "original_title                                         Lost & Found\n",
       "cast              David Spade|Sophie Marceau|Ever Carradine|Step...\n",
       "runtime                                                          95\n",
       "genres                                               Comedy|Romance\n",
       "release_date                                    1999-04-23 00:00:00\n",
       "release_year                                                   1999\n",
       "profit                                                           99\n",
       "Name: 2618, dtype: object"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.loc[ds['budget'].idxmin()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> #### Which movie had the highest and lowest budget?\n",
    "> Highest :-The Warrior's Way with budget of  425000000 dollars Lowest :- Lost & Found with budget of $1 dollars\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# x-axis\n",
    "plt.xlabel('Budget in Dollars', size=14)\n",
    "# y-axis\n",
    "plt.ylabel('Profit in Dollars', size=14)\n",
    "# Title of the histogram\n",
    "plt.title('Relationship between budget and profit', size=16)\n",
    "plt.scatter(ds['budget'], ds['profit'], alpha=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> We can see that there no as such relationship between budget and profits, But yes there are very less flims which didnt make profit when the budget was greater then 20M Dollar."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 1.5  (Which movie had the highest and lowest revenue?)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "budget                                                    237000000\n",
       "revenue                                                  2781505847\n",
       "original_title                                               Avatar\n",
       "cast              Sam Worthington|Zoe Saldana|Sigourney Weaver|S...\n",
       "runtime                                                         162\n",
       "genres                     Action|Adventure|Fantasy|Science Fiction\n",
       "release_date                                    2009-12-10 00:00:00\n",
       "release_year                                                   2009\n",
       "profit                                                   2544505847\n",
       "Name: 1386, dtype: object"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.loc[ds['revenue'].idxmax()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "budget                                                      6000000\n",
       "revenue                                                           2\n",
       "original_title                                      Shattered Glass\n",
       "cast              Hayden Christensen|Peter Sarsgaard|ChloÃ« Sevi...\n",
       "runtime                                                          94\n",
       "genres                                                Drama|History\n",
       "release_date                                    2003-11-14 00:00:00\n",
       "release_year                                                   2003\n",
       "profit                                                     -5999998\n",
       "Name: 5067, dtype: object"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.loc[ds['revenue'].idxmin()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> #### Which movie had the highest and lowest revenue?\n",
    "> Highest :- Avatar with revenue of 2781505847 dollars\n",
    ">\n",
    "> Lowest :- Shattered Glass with revenue of 2 dollars\n",
    ">\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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zDoKEsX7jdjLdWRY01ZLpzrJ+43ZaWjPVDs0V8aThnJsQNmzZS1M6SVM6SUwamN6wZW+1Q3NFPGk45yaE3e3dNNYOrjFvrE2wu727ShG54XjScM5NCIua03T05AbN6+jJsag5XaWI3HA8aTjnJoS1q+aT6c6S6c5SMBuYXrtqfrVDc0U8aTjnJoSVC5pYt2YFTekkrZkemtJJ1q1Z4b2nJhjvcuucmzBWLmjyJDHB+ZWGc865yDxpOOeci8yThnPOucg8aTjnnIvMk4ZzzrnIPGk455yLzJOGc865yPw+DedcZD50ufMrDedcJD50uQNPGs65iHzocgeeNJxzEfnQ5Q48aTjnIvKhyx1ESBqSTpJUE05fJOkySc3lD805N5H40OUOol1p/ALISzoZuApYAfywrFE55yYcH7rcQbQutwUzy0l6FfAVM7tS0j3lDsw5N/H40OUuypVGVtLrgTcB14fzkuULyTnn3EQVJWm8BbgA+JSZbZe0AvhBecNyzjk3EZVMGpLiwEfM7DIz+xGAmW03s8+Ox84lfUfSPklbRlh+kaSMpHvDn8vHY7/OOeeOTck2DTPLS5orKWVmfWXY/9XA14DvlSjzP2b2sjLs2znn3BhFaQjfAfxJ0rVAV/9MM/vS8e7czDZKWn6823HOOVcZUdo09hA0gMeAxqKfSrlA0n2Sfi3pqcMVkLRO0iZJm9ra2ioYmnPOTS+jXmmY2ccrEcgI7gaWmVmnpJcAvwROGVrIzNYD6wFWr15tlQ3ROeemj1GThqS5wAeApwK1/fPN7LlljKt/H4eLpm+U9A1Jc8xsf7n37Zxz7mhRqqeuAf5CcCf4xwnaOO4sY0wDJJ0gSeH0+QTxHqjEvp1zzh0tSkP4bDO7StJ7zOxW4FZJt47HziX9CLgImCNpF/BRwhsHzeybwGuAd0jKAd3ApWbm1U/OOVclUZJGNvy/VdJLCRrGF4/Hzs3s9aMs/xpBl1znnHMTQJSk8W+SmoD3A1cCM4D3lTUq55w/WtVNSKO2aZjZ9WaWMbMtZvYcMzvXzK6tRHDOTVf+aFU3UY14pSHpSmDE9gMzu6wsETnnBj1aFRj4f8OWvX614aqqVPXUpopF4Zwb5IE9GQ53Z+nszdNQm+DkufXMbqjxR6u6qhsxaZjZdysZiHMu0NKaYdehIDnEBY/t7+KhJw4zv7GW1ctnVjk6N92Vqp66jtLVU68oS0TOTXMbtuzltPkN3LeznfaeHKm4iEvs6+hl7+FeWlozXkXlqqZU9dQVFYvCOTdgd3s3S2fX8+j+LrqzefIGtck4tckYS2bVebuGq6pS1VMDN/BJSgGnhi8fMrPs8Gs5547XouY0me4s+QIsm12PJHqyeWqTcRprE96u4apq1C63ki4CHga+DnwD2CppTZnjcm7aWrtqPpnuLMm46M3m6cnm6c0VOHlePR09ORY1p6sdopvGoow99UXghWb2bDNbA7wI+HJ5w3Ju+lq5oIl1a1bw1IUzONSdA+DspU0k43Ey3VnWrppf5QjddBbljvCkmT3U/8LMtkpKljEm56a9lQua+PQlZwy6K3xeY5LXnbfY2zNcVUVJGpskXQV8P3z9N8Bd5QvJucmpHMN+rFzQ5EnCTShRqqfeATwAXAa8B3gQeHs5g3JusvFhP9x0EeXJfb2Svg9838z8WarODcOH/XDTxYhXGgp8TNJ+gocwPSSpTdLllQvPuclhd3s3jbWDv4N591g3FZWqnnov8EzgPDObbWazgKcDz5TkQ6M7V2RRc5qOntyged491k1Fpaqn/hZ4QfHzuM3sUUlvAH6Dd7t109RwDd5rV81n/cbtQHCF0dGTI9Od5XXnLS65nldducmm1JVGsjhh9AvbNbzLrZuWRmrwBli3ZgVN6SStmR6a0knWrVkxkBS8odxNFaWuNPqOcZlzU1apBu/3veDUEa8cvKHcTRWlksaZkg4PM19AbZnica5shqseAsZUZbS7vZsFTYNP/ygN3se6nnMTTakBC+OVDMS5cuqvHmpKJweqh664aSsFM5bNrh9UZVRcrTRU/2CC/VcKEK3B+1jXc26iiXJzn3OTXnH1UEyiKZ1kf2cvB7v6Bs1rSifZsGXviNvpH0ww052lYDYwPdp4UMe6nnMTjScNNy0Mdx9Fby5PX64waN5oVUb9gwmO1OA93us5N9FEGXvKuUmvv3oom8+zbV8Xh3uyHOzqozmdGlSuuMpopC6yxzoelI8j5aaCql5pSPqOpH2StoywXJL+XdI2SZslnVPpGN3UsHbVfHYePMJtjxykuy9HKiZS8TiZ7j62t3UeVWXkXWSdG16UhzBdIulhSRlJhyV1jNCr6lhcDawtsfzFwCnhzzrgP8Zpv26aWbmgifkzamisTZArQE0qwZpT5/CME2fzREfvUVVGw7WBjNbe4dx0EKV66vPAy82sZbx3bmYbJS0vUeRi4HtmZsDtkpolLTCz1vGOxU19fXljzalziUkD82Y3GMlEnCtee+agst5F1rnhRame2luOhBHRImBn0etd4bxBJK2TtEnSprY2H4jXDW8s40P5WFLODS9K0tgk6SeSXh9WVV0i6ZKyRxbQMPPsqBlm681stZmtnjt3bgXCcpPRWLq9ehdZ54YXJWnMAI4ALwReHv68rJxBFdkFLCl6vRjYU6F9uymmv9trNpfn5pZ93LH9AOnk8H8C3kXWueFFeQjTWyoRyAiuBd4l6ccEw7JnvD3DHa8j2QLnr5g1MBrtSHeBexdZ5442YtKQ9AEz+7ykKxm+Suiy4925pB8BFwFzJO0CPko4gq6ZfRO4EXgJsI3gaqeaCcxNAMczvHhLa4aPXvsgBzv7mNWQ4uS59cxtDBq7feBA56IpdaXR3/i9qVw7N7PXj7LcgHeWa/9uchlu/KjRxooauu6Bzl5m1SXpzea5+/F2zlnazOyGGu8V5VxEpQYsvC78/7uVC8e5kY1lePGhVyRtHUG7xJyGGnqyeWqTwXic29q6SCXi3ivKuYh8GBE3IQ1XDdV/78T+zp6BoUAaaxI01SWPWveKm7ayv7OX3lyeh/d2sLejh4tOncvJ8+q567F2AFJxcbCz76gn7DnnRuYDFroJp78qacf+Th4/0MX1m/fwvp/cx5GeLI8f6OKux9rpyeZprElwuCfHzgPdg4b3+MFtj7F9fxcAM2qDhNLTV+Cex9uZ01DLucuaqU3GOXgky6yGlPeKcm4MRr3SkPRMM/vTaPOcGy8btuylUCjw0N5OahIxZtenONyT48EnDgOiNhmnJhGjNxyh9tT5DfzgtseY01jL7vZubnloH7PqktQm43T15jh4pI9cvsCOA0fYsb+TpbPrWbkgTqY76wnDuTGKUj11JTB0oMDh5jk3Lna3d9Oa6cHMwiqmAqm4iMdixGPGjNoEnb15YoJ4TNy/J8OBzj4uOnUuy+bUk88b+zp6KRgcOpIlERN1NXG6+/I89EQnR7J5Tl/QxOvOW+wJw7kxKtXl9gLgQmCupP9btGgG4E/1c+Ouvx3jgT0Zdh08QkzBVUUqHqMvV8DI0ZROcvrCJvpyQe+nmkSMrp4cqXiMrfs6aahNsHBmmp0Hj9Ca6aY+lQCMvnzwhL7Vy2fRlE7yvhecWu3DdW5SKnWlkQIawjKNRfMPA68pZ1Bu6ohyX0VLa4ZPXfcgf37sEAB1qTg9fXkQSEY2b+TyRk0yjoBMd5ZH2zqpiQejzPTkCiyZlSYRi7GtrYszFzfR1ZNlT3sPhSTEJZpr45y5pMkHHXTuOJXqcnsrcKukq83ssQrG5KaIGzbv5srfP0I2X2B2fYpsLs/6jUcGtSPcsHk3/3ZDC08c7kVAQnCkL0/WAIP27jyJGKQTMWISXX15nr9yLl9/ooOCFWhKp5jbkGJ/Rx95C+5BPXluPWcsbqavcIh0Ms6chhpOnlfPnIbg3g7vXuvcsStVPfUVM3sv8DVJw90R/oqyRuYmtZbWDFfe/AgIZten6M0FDdunzW8YuK+ipTXDlb9/hPYjWTCIxSBXACsagEBAIhYjZzArnaC5LsXWvV284PRgQMG+XJ59h3vozRWICRJxccejB1k6u45/fslT+F1LG03pJI21iYFBB717rXPHrlT11PfC/6+oRCBuatmwZS+5glGTELvau+nLFSgUjP0dPdy7K+geu/WJwzyRCT7wBeTDx3UXf0MRwXMsCgadvXkuPLmR3e3dvPVZy1m/cTuPtnUyozZBKhFjf2cf9TWJoF2jqZaXnrGIE+c2DKoe88Zv545PqaTxBeB5wEvM7IMVisdNEbvbu6lJit2HeqhJxBDQ1Zcnny9wQlMt9+08xJ+2HcAwzIYZ3IwgYSTjorM3x8y6FLXJGDWJBPMakwOj0L7/p5spWIHmuhSrl89kTkMtBTNaMz2ADzro3HgrlTQWSHo28IpwlNlBz7Yws7vLGpmb1BY1p7lv56HwrDG6+3KAEYuJXYe62bq3k7wZiZggZoS3XAwQMK8xSa4gCmYkYrCnvZtrbn+Mupo4D+89zLufd8pANVX/kCLgD0tyrpxKJY3LgQ8RPMPiS0OWGfDccgXlJr+1q+bz/+7Zzdz6JF19BfryweVEMiGO9OXJF4IrjL680VATpy8XlgEaUzFmpJPMaazlSG+WfR197GrvISZorEkgiY1b97O/s483XbiM37UET2vsH+rc2y2cK59Svad+Dvxc0r+a2ScrGJObAlYuaOL/nDybLXsOk0gUkKAnm6c3VyCbLwyqjurszVMTF/WpGPMaa3n2afPoyeZoae2gs69AX75ADEglYiTiMVKJGJLYcaCLrXu7WLdmhbdbOFchUR7C9ElJrwDWhLNuMbPryxuWmwxGuwfjDRcs4/MbHuJgVx/JmNjXnSNbOLr1QuE/ccW49PzFHOkzOntzrFo4gz2ZHjbtOAQJyOcLHDrSRzwWIxmHQsHY3d7t7RbOVVCUsac+A5wPXBPOek849tSHyxqZm9CiPtsipqAprDYVp7+5WwzX8C3OXtrEkT4buFv7y7/dSjIRZ+veDto6esgXCHtZFehvYkvFdVwPZnLOjY3Mhuu3UlRA2gycZWaF8HUcuMfMzqhAfGO2evVq27SpbM+NmtaKP5z/0nqY3lyeZDxOQ22Ck+fWk0rEyebyGHDPznbaOnqpT8VJxESmJ8fBrj4KFgytPLRb7Yo5ddQm4+xq72ZRcx1nL2lib0cvKxfM4JF9Hfzmwb0UCsG9HIVCMObUzPokq5fNpCaZGLgXo79NwwcidG5sJN1lZqtHKxf1eRrNwMFw2v8Sp6H+K4t8vsADe9p5dH83EtQlY6QScR564jBzGlIc6upjZl1N0LidLXCws49YTMyoTQxkigJB4ojF+q8XxJG+HG2dfdQmYyRicNujBzEz6pJxTpk/g827Mhzo7KU3F/TAWja7jvNWzOS+nYc5f8WsSA9mcs4dvyhJ4zPAPZL+QPA3vgbwqqlpZsOWveTzBTbvaqf1cNCTKW/Q2Vcg1lcgHoPt3TkQZPNGR2+cI9kcBYK2h0x3llgMrAAxBY3auXyBmEQ6FacvH1RlzZ9RSzoV9JDq7suzdW8nsxpqWNicpiF8Nsa5y5oHhgQxjMbawaexjy/lXPmUTBqSBPwReAZwHkHS+KCZPVGB2FyVDNdG8MCeDA/uOczBrj6yeSMZg3w+KG/0D/8RvOjozdPZmx9UBZW3wSdbKhFj6aw6erN5enIFcgVj8cxa6lJBqeB5GXmWzErTlE4yI53kcE+O0+Y3MKu+ZmBIkLOXNNPRk/P7NJyrkJJJw8xM0i/N7Fzg2grF5KpouAbuK27ayiP7OujsDW/Qg0E34w3XKjbcvLxBbVJIYmFzmheefgJrV81nw5a93PLQvkFle3MFahJxTl/QNNAwPjSZ9d+LsX7jdsDv03CuEqJUT90u6Twzu7Ps0biq+8Ftj/FoWyd9+QIzapOcPK+e/Z291CTjJON5svkCibjoG3oLd0QFg5npJF/6qzMHtTls3tXO4weOgAXDFXb25lkxp561q+YPlBmpa63fp+Fc5URJGs8B3i5pB9BF2GNyovaecmNT/O29Ji5+95d9zG+sobEmwaGuPjZs6aQnmyOdSrDyhAbu332YI9n84DFlxqAmEee5T5natFIWAAAUzUlEQVQ36EN95YImPrD2NL5/22Pcs7MdIS44cRZvuGBZpA9/v0/DucqJkjReXPYoXEUVPyHvkX2dJOMxYjE42NVHT1+e7nBU2QNdfQDkCkZXb47New4zozZBwYyO/gaNiGJAXSrGwqY0b7xg2VHLVy5o4tOX+PcQ5ya6Us/TqAXeDpwM3A9cZWa5SgXmyqO4zeKJTDf7O/tIxMTCmbVk88F4UG0dvaQSMeIKEkY2b8RkZHMFDncf2ykQj0FNMsG7n3eSXxU4N4nFSiz7LrCaIGG8GPjieO9c0lpJD0naJulDwyx/s6Q2SfeGP38/3jFMNxu27KUpnSSbz/PI/iP05fL05vPsae8hmy/Qm8/Tnc3T3Zcn05Pl4JEsBQuedZErfR/oiOKCxTPr+MTFp/PSMxaN7wE55yqqVPXU6Wb2NABJVwF/Hs8dh3eWfx14AbALuFPStWb24JCiPzGzd43nvqebGzbv5ru3Pc7ewz109eZY1FTDrvZeerP5gbuze7JZ6pIxsvngyXm9ucHVT2PJF8XDhCSAlQtm8PnXnuFXGM5NAaWSRrZ/wsxy0rE2fY7ofGCbmT0KED6z42JgaNJwY1TcuH2kJ8tdO9uZWZdiXkOKh7v62Ly7g3j4yZ4HcuGQ5J19x9YjauhYUjUJUZdKkCsYs+qSnjCcm0JKJY0zJR0OpwWkw9f9vadmHOe+FwE7i17vAp4+TLlXS1oDbAXeZ2Y7hxaQtA5YB7B06dLjDGtyu2Hzbq68+RE6e3MUzNjf2QsGDak4PXFxJBvcdHesVU3FUvHgfo1kXOQLwZAf8ZiIx4NazyVNtSxoTnvCcG4KKfU8jXiZ9z3cpcvQj7LrgB+ZWa+ktxO0sxz18CczWw+sh2DAwvEOdDJoac3wg9se4/r7WyF8fGoqHgvu3o7DzkPdFAo2LsmiX20ywTlLmnjakpls3NpGZ0+Op584i7mNtQBHPVHPOTf5RR2wsBx2AUuKXi8G9hQXMLMDRS+/DXyuAnFNOi2tGa64aSv3726nozsY76lYXx7G1ioxshhBtm9MJ3nHRSs40hc806L/2RepRDzokut3Zjs3JVUzadwJnCJpBbAbuBT46+ICkhaYWWv48hVAS2VDnPhaWjP80882s2N/F725/FEJY7zNbayhLhXnjMWDn33RH4vfme3c1Fa1pBE2rr8LuAmIA98xswckfQLYZGbXApeFTw3MEQzN/uZqxTsRfevWh1m/cQeHuvpQOOpsOSVisHxOPSfPq2dWfc1RI8n6ndnOTX3VvNLAzG4Ebhwy7/Ki6Q/jw7AP0v9t/o7tB9i04+BAl9lhnqI6rmLA/Bm1POPE2UDQXuEjyTo3/VQ1abjoWlozfOq6B7nzsUPkzTjG8QLHrCmdIBUXR7IFsvmCt1c4N8150pgEPnHd/Xzvfx8f155Pw4kJ6lJxcnkjhlGTSnDKvAZ6cwXajwRP4GvN9Hh7hXPTmCeNCe49P9rEr+7bW/b9xAQNyRipZJyadAwzA4mO3hwzapOctaSZ5XMaBjV8O+emH08aE9QNm3fz5d8+zLa2rorsr2DQV4CUQTIm9nX2cf7yWTxtcfNAdVTxsy2cc9OTJ40J5obNu/n4r7awr6tyAwrHCEahBUAwrynNstl1HMkWvDrKOTeIJ40JoqU1w4f/ezP37jw8euFxEC/qomtAIh6MF/XC0+czt7GWghmtmR6ueO2ZFYnHOTc5eNKYAFpaM/zjT+/jgdaOsu8rBhQIqqMEJMLkkYjFOH/5zIEhQDp6ct6l1jl3FE8aVdJ/v8Xtj+znzzsOjdMgH6X1j0Zbn4pRmwzGpZLE0xbNIBmPM78p7V1qnXMledKosJbWDFfe/DA3/2UfveXuQztEKgGNtSleePp8+vLGouY0a1fNZ+WCJh8CxDkXiSeNCvrWrQ/ztd9vo6O3QnfmFYkLls9u4NxlM4d9FrcPAeKci8KTRgXcsHk3n/31X9h5qKei+40raOCuT8aZ21jL6QubeOMFyyoag3NuavGkUUYtrRne88O72dp2pKL7TcRgUXOaC06aTUtrB4eOZFm9fCZvuGCZX004546LJ40y6e8RVemEMbchxbnLmnnsYDe5Alx02ryBdgvnnDtenjTK4IbNu3nXD++tSI+oYjPTSRY2p2nN9PLC00/wIT+cc+POk8Y4aWnN8KGfb+a+3ZW5OW+o+lSMhc21YMah7pwP+eGcKwtPGuOgUoMKDicZFyc01jCjLoUZIPGsk2d7dZRzriw8aRyHb936MF/YsLXsQ5YPJUCCptoEZy2dybLZ9TTWJgZuyvMeUs65cvGkcQxu2Lybd/7w3qrsOxGDmkSM2fUpZtbXEJPoy+VpzeT8pjznXNl50hiDltYMr/76HzlSuQFoB8SA5rokS2amQaI3V2BVOPxHUzrpjd7OuYrwpBHRRZ//HTsO9lZl342pGPW1SepScXrzBZrSKVYtmsGchmA02t3t3VWJyzk3/XjSGMUnrruf7/zp8arGkEjEed5T5jGnsZZMd5amdHJgmY9G65yrJE8aI2hpzfDir/6xqjHEgXRNnPmNtbwhbNxev3E7wKCGbx+N1jlXKZ40hrH8QzdUZb91SZE3SCViQfdZM2oScd79vJMGGrfXrVnho9E656rGk0aRaiWLZAzmNKTI9OQ5oTFFQ02CnlyBZDzGu597Ei89Y9FAWR+N1jlXTbHRi5SPpLWSHpK0TdKHhlleI+kn4fI7JC0vVyzVSBgCmtMJkok4BRNrTplNc12Kjt48T18xiy+/7sxBCcM556qtalcakuLA14EXALuAOyVda2YPFhV7K3DIzE6WdCnwOeB14x1Lta4w0qkYdTUJltWn6CsYp53QxGknMNDY7VcUzrmJpppXGucD28zsUTPrA34MXDykzMXAd8PpnwPPk6QKxlg2MUEyJrp68xgwo/bJHlGNtQnvRuucm5CqmTQWATuLXu8K5w1bxsxyQAaYPXRDktZJ2iRpU1tbW5nCHR8ieDhSMiZqknFqEzE6e/OcPK9+oIx3o3XOTVTVTBrDXTEMHcUpShnMbL2ZrTaz1XPnzh2X4MpBQE1SpJMxUokYMYlzljazYk49yXicghmZ7iyZ7qyPUuucm5Cq2XtqF7Ck6PViYM8IZXZJSgBNwMHKhDd++q8uEnFRm4gzqz7FBSfOHniSXktrxrvROucmhWomjTuBUyStAHYDlwJ/PaTMtcCbgNuA1wC/N7NKP9sosphgXmOKXMHoyxXozRVIJ+PMrEtx4UmzR3zcqnejdc5NFlVLGmaWk/Qu4CaCm5+/Y2YPSPoEsMnMrgWuAr4vaRvBFcal1Yp3NDHBrLoETekUTzmhkVgsxro1KzwZOOemlKre3GdmNwI3Dpl3edF0D/DaSscVVQI4obmWhTPrkBkm0ZROsHxOgz+X2zk3Jfkd4ceoJiEuPGkOH1h7micH59y0UdU7wieKuuTYfg0JwSnzGj1hOOemHU8awEWnziUVi3bPYGMqTn1tkjMWe7Jwzk0/njSAdz//FM5a2kx9KkZCT3aRnVEbJxGDVEzUJkQiJuLxGBecOJNUIs76jdtpac1UO3znnKsYb9Mg6PL68Yufyvdve4w/bjtAOhGjJ5cnnUrQk82TjIu9h3tZOqOW81bMZE5D7cC6G7bs9Soq59y04UkjtHJBE5++5IyBG+0ebM2Q6c6xeGaapy5s4sHWDE85YQaxoqGvfIwo59x040ljiJFutPvyb7f6o1adc9Oet2lEtHbV/IFxoXyMKOfcdOVJI6KVC5pYt2YFTekkrZkemtJJv+PbOTftePXUGPgYUc656c6vNJxzzkXmScM551xknjScc85F5knDOedcZJ40nHPOReZJwznnXGSeNJxzzkXmScM551xknjScc85F5neEF+kf4XZ3ezeLmtP+nG/nnBvCrzRCLa0Z1m/cTqY7y4KmWjLdWX/IknPODeFJI7Rhy16a0kma0kli0sD0hi17qx2ac85NGJ40Qrvbu2msHVxb5w9Zcs65wTxphBY1p+noyQ2a5w9Zcs65wTxphPwhS845N7qqJA1JsyT9VtLD4f8zRyiXl3Rv+HNtOWPyhyw559zoqtXl9kPAzWb2WUkfCl9/cJhy3WZ2VqWC8ocsOedcadWqnroY+G44/V3glVWKwznn3BhUK2nMN7NWgPD/eSOUq5W0SdLtkkZMLJLWheU2tbW1lSNe55xzlLF6StLvgBOGWfTPY9jMUjPbI+lE4PeS7jezR4YWMrP1wHqA1atX2zEF7JxzblRlSxpm9vyRlknaK2mBmbVKWgDsG2Ebe8L/H5V0C3A2cFTScM45VxnVqp66FnhTOP0m4FdDC0iaKakmnJ4DPBN4sGIROuecO4rMKl+bI2k28FNgKfA48FozOyhpNfB2M/t7SRcC3wIKBMntK2Z2VYRttwGPHUd4c4D9x7H+RDVVjwv82CarqXpsk/W4lpnZ3NEKVSVpTGSSNpnZ6mrHMd6m6nGBH9tkNVWPbaoeVz+/I9w551xknjScc85F5knjaOurHUCZTNXjAj+2yWqqHttUPS7A2zScc86NgV9pOOeci8yThnPOucimZdKQtFbSQ5K2haPsDl1eI+kn4fI7JC2vfJTHJsKxvVlSW9GQ839fjTjHStJ3JO2TtGWE5ZL07+Fxb5Z0TqVjPFYRju0iSZmi9+zySsd4LCQtkfQHSS2SHpD0nmHKTMr3LeKxTcr3bVRmNq1+gDjBUCQnAingPuD0IWX+AfhmOH0p8JNqxz2Ox/Zm4GvVjvUYjm0NcA6wZYTlLwF+DQh4BnBHtWMex2O7CLi+2nEew3EtAM4JpxuBrcOcj5PyfYt4bJPyfRvtZzpeaZwPbDOzR82sD/gxwVDtxYqHbv858DxJqmCMxyrKsU1KZrYROFiiyMXA9yxwO9Acjms24UU4tknJzFrN7O5wugNoARYNKTYp37eIxzYlTceksQjYWfR6F0e/2QNlzCwHZIDZFYnu+EQ5NoBXh1UBP5e0pDKhlV3UY5+sLpB0n6RfS3pqtYMZq7CK92zgjiGLJv37VuLYYJK/b8OZjkljuCuGof2Oo5SZiKLEfR2w3MzOAH7Hk1dUk91kfc+iuJtgXKAzgSuBX1Y5njGR1AD8AnivmR0euniYVSbN+zbKsU3q920k0zFp7AKKv10vBvaMVEZSAmhiclQfjHpsZnbAzHrDl98Gzq1QbOUW5X2dlMzssJl1htM3Aslw5OcJT1KS4EP1GjP772GKTNr3bbRjm8zvWynTMWncCZwiaYWkFEFD97VDyhQP3f4a4PcWtmxNcKMe25D64lcQ1MVOBdcCfxv2xnkGkLHw6ZCTnaQT+tvUJJ1P8Hd7oLpRjS6M+Sqgxcy+NEKxSfm+RTm2yfq+jaZsD2GaqMwsJ+ldwE0EvY2+Y2YPSPoEsMnMriU4Gb4vaRvBFcal1Ys4uojHdpmkVwA5gmN7c9UCHgNJPyLojTJH0i7go0ASwMy+CdxI0BNnG3AEeEt1Ih27CMf2GuAdknJAN3DpJPkS80zgjcD9ku4N532E4JEIk/19i3Jsk/V9K8mHEXHOORfZdKyecs45d4w8aTjnnIvMk4ZzzrnIPGk455yLzJOGc85NcqMNejmk7DJJN4ejQtwiafFY9uVJw01KkvLhyKFbJF0nqbnaMUUl6X/HWP5qSdvD4Si2SvqepFGH2pC0o/9mMkmdxxqvmxSuBtZGLHsFwXhfZwCfAD4zlh150nCTVbeZnWVmqwjuN3lntQOKyswuPIbV/ikcjuI04B7gD+ENnOMuvNHOPxsmkeEGvZR0kqQNku6S9D+SnhIuOh24OZz+A2Mc1NRPDDcV3EbRIHeS/knSneHl98fDeZ+T9A9FZT4m6f0lyi8Pn5Xw7fB5Cb+RlA6X3SJpdTg9R9KOcDou6QtF2/r/hgu2/1u/guct3BIOHPkXSdf030E8knA02C8DTwAvDrfzekn3h1ddnyu1vqSGsGri7nCdi4cc7zcIxkxaEl7hbAnLva/Udt2EtB54t5mdC/wj8I1w/n3Aq8PpVwGNkiIPyOpJw01qkuLA8wiHS5H0QuAUgmHizwLOlbSGYJj41xWt+lfAz0qUJ5z/dTN7KtDOk39oI3krwTAY5wHnAW+TtGKUdc4G3kvw7e9EgjuNo7gbeIqkhcDngOeG8Z8n6ZUl1usBXmVm5wDPAb5YlKhOI6i2OBuYAywys1Vm9jTgvyLG5SYABQMpXkhwjt8LfIvgGSAQJJBnS7oHeDawm2CEiEim3TAibspIh38My4G7gN+G818Y/twTvm4ATjGzqyTNCz9k5wKHzOxxSZcNVx54HNhuZv1DRNwV7quUFwJnSHpN+Lop3Nb2Euv82cx2ARQdzx9H2Q88OTrsecAtZtYWbuMagoc6jTSiqoBPh4mxQHCFNj9c9lj4TAuAR4ETJV0J3AD8JkJMbuKIAe1mdtbQBWa2B7gEBpLLq80sE3XDnjTcZNVtZmdJagKuJ2jT+HeCD8XPmNm3hlnn5wTjAZ1AcOXBSOUVPCOht2hWHkiH0zmevEqvLV6NoDrgpjEcx9B9RP2bPJugXnqstQV/Q5A0zzWzbFi11n8MXf2FzOyQpDOBFxH8bv8K+Lsx7stViZkdDjtPvNbMfhZeTZ5hZveFnSMOmlkB+DDwnbFs26un3KQWfkO6DPhHBUNV3wT8XfgNCkmLJM0Li/+YYPDJ1xAkEEYpP5IdPDmk/GuK5t9EMEBdMtzWqZLqj+f4hgobqS8jqGrYQPDgn2eHbStx4PXArSU20QTsCxPGc4BlI+xnDhAzs18A/0rwOFo3QSkY9PI24DRJuyS9leALwlsl3Qc8wJMN3hcBD0naSnCV+amx7MuvNNykZ2b3hH8Yl5rZ9yWtBG4Lq+o7gTcQfFA+IKkR2N0//LaZ/WaE8vkSu7wC+KmkNwK/L5r/nwTVS3eH3+zagFLtC2PxBUn/CtQBtwPPCR/p2yrpwwS9YATcaGa/KrGda4DrJG0C7gX+MkK5RcB/FfWi+vB4HIQrDzN7/QiLjuqGa2Y/58kvTWPmo9w655yLzKunnHPOReZJwznnXGSeNJxzzkXmScM551xknjScc85F5knDOedcZJ40nHPORfb/Ay+/MqI2EqeeAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# x-axis\n",
    "plt.xlabel('Revenue in Dollars')\n",
    "# y-axis\n",
    "plt.ylabel('Profit in Dollars')\n",
    "# Title of the histogram\n",
    "plt.title('Relationship between revenue and profit')\n",
    "plt.scatter(tmdb_data['revenue'], tmdb_data['profit'], alpha=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> We can see that there is a strong relationship between profit and revenue, higher the profit, higher the revenue.\n",
    ">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.xlabel('Revenue in Dollars',size = 14)\n",
    "plt.ylabel('Budget in Dollars',size = 14)\n",
    "plt.title('Relationship between revenue and budget',size = 16)\n",
    "plt.scatter(ds['revenue'], ds['budget'], alpha=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Most of the movie have a revenue upto $50M "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 2.1  (What is the average budget of the movie w.r.t Profit of movies making more then $30M?)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Now since in all the remaining question we are going to answer them with respect to profit, we will now clean our datset and only incudde data of movies who made profit of more then 30M$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "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>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>cast</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>release_date</th>\n",
       "      <th>release_year</th>\n",
       "      <th>profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>150000000</td>\n",
       "      <td>1513528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>2015-06-09</td>\n",
       "      <td>2015</td>\n",
       "      <td>1363528810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>150000000</td>\n",
       "      <td>378436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>2015-05-13</td>\n",
       "      <td>2015</td>\n",
       "      <td>228436354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>110000000</td>\n",
       "      <td>295238201</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>Shailene Woodley|Theo James|Kate Winslet|Ansel...</td>\n",
       "      <td>119</td>\n",
       "      <td>Adventure|Science Fiction|Thriller</td>\n",
       "      <td>2015-03-18</td>\n",
       "      <td>2015</td>\n",
       "      <td>185238201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>200000000</td>\n",
       "      <td>2068178225</td>\n",
       "      <td>Star Wars: The Force Awakens</td>\n",
       "      <td>Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...</td>\n",
       "      <td>136</td>\n",
       "      <td>Action|Adventure|Science Fiction|Fantasy</td>\n",
       "      <td>2015-12-15</td>\n",
       "      <td>2015</td>\n",
       "      <td>1868178225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>190000000</td>\n",
       "      <td>1506249360</td>\n",
       "      <td>Furious 7</td>\n",
       "      <td>Vin Diesel|Paul Walker|Jason Statham|Michelle ...</td>\n",
       "      <td>137</td>\n",
       "      <td>Action|Crime|Thriller</td>\n",
       "      <td>2015-04-01</td>\n",
       "      <td>2015</td>\n",
       "      <td>1316249360</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget     revenue                original_title  \\\n",
       "0  150000000  1513528810                Jurassic World   \n",
       "1  150000000   378436354            Mad Max: Fury Road   \n",
       "2  110000000   295238201                     Insurgent   \n",
       "3  200000000  2068178225  Star Wars: The Force Awakens   \n",
       "4  190000000  1506249360                     Furious 7   \n",
       "\n",
       "                                                cast  runtime  \\\n",
       "0  Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...      124   \n",
       "1  Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...      120   \n",
       "2  Shailene Woodley|Theo James|Kate Winslet|Ansel...      119   \n",
       "3  Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...      136   \n",
       "4  Vin Diesel|Paul Walker|Jason Statham|Michelle ...      137   \n",
       "\n",
       "                                      genres release_date  release_year  \\\n",
       "0  Action|Adventure|Science Fiction|Thriller   2015-06-09          2015   \n",
       "1  Action|Adventure|Science Fiction|Thriller   2015-05-13          2015   \n",
       "2         Adventure|Science Fiction|Thriller   2015-03-18          2015   \n",
       "3   Action|Adventure|Science Fiction|Fantasy   2015-12-15          2015   \n",
       "4                      Action|Crime|Thriller   2015-04-01          2015   \n",
       "\n",
       "       profit  \n",
       "0  1363528810  \n",
       "1   228436354  \n",
       "2   185238201  \n",
       "3  1868178225  \n",
       "4  1316249360  "
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dataframe which has data of movies which made profit of more the 25M Dollars.\n",
    "ds_profit= ds[ds['profit'] >= 30000000]\n",
    "# Reindexing the dataframe\n",
    "ds_profit.index = range(len(ds_profit))\n",
    "#showing the dataset\n",
    "ds_profit.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1672 entries, 0 to 1671\n",
      "Data columns (total 9 columns):\n",
      "budget            1672 non-null int64\n",
      "revenue           1672 non-null int64\n",
      "original_title    1672 non-null object\n",
      "cast              1671 non-null object\n",
      "runtime           1672 non-null int64\n",
      "genres            1672 non-null object\n",
      "release_date      1672 non-null datetime64[ns]\n",
      "release_year      1672 non-null int64\n",
      "profit            1672 non-null int64\n",
      "dtypes: datetime64[ns](1), int64(5), object(3)\n",
      "memory usage: 117.6+ KB\n"
     ]
    }
   ],
   "source": [
    "# Printing the info of the new dataframe\n",
    "ds_profit.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> We can see that we have 1671 movies which has profit more then 30$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "53932204.20633971"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_profit['budget'].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> #### What is the average budget of the movie w.r.t Profit of movies making more then 30M?\n",
    "> So the average budget of the movies is 53932204.20$ "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 2.2  (What is the average revenue of the movie w.r.t Profit of movies making more then 30M$ ?)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "217458935.18540668"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_profit['revenue'].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> #### What is the average revenue of the movie w.r.t Profit of movies making more then 30M Dollars?\n",
    "> So the average revenue of the movies is 206359440.87$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 2.3  (What is the average runtime of the movie w.r.t Profit of movies making more then 30M Dollars?)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "112.752990430622"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_profit['runtime'].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> #### What is the average runtime of the movie w.r.t Profit of movies making more then 30M Dollars?\n",
    "> So the average runtime of the movies is 112.75 Minutes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 2.4  (Which are the successfull genres w.r.t Profit of movies making more then 30M Dollars?)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Drama              634\n",
       "Comedy             606\n",
       "Action             546\n",
       "Thriller           508\n",
       "Adventure          431\n",
       "Romance            277\n",
       "Crime              262\n",
       "Family             260\n",
       "Science Fiction    242\n",
       "Fantasy            223\n",
       "Horror             169\n",
       "Mystery            139\n",
       "Animation          134\n",
       "Music               58\n",
       "History             54\n",
       "War                 53\n",
       "Western             19\n",
       "Documentary          8\n",
       "TV Movie             1\n",
       "Foreign              1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This will first concat all the data with | from the whole column and then split it using | and count the number of times it occured. \n",
    "genres_count = pandas.Series(ds_profit['genres'].str.cat(sep = '|').split('|')).value_counts(ascending = False)\n",
    "genres_count"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> #### Which are the successfull genres w.r.t Profit of movies making more then 30M$ ?\n",
    "> So the Top 10 Genres are Drama, Comedy, Action, Thriller, Adventure, Romance, Crime, Family, Scince Fiction, Fantasy\n",
    ">\n",
    "> Lets plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "diagram = genres_count.plot.bar(fontsize = 14)\n",
    "diagram.set(title = 'Top Genres')\n",
    "diagram.set_xlabel('Type of genres')\n",
    "diagram.set_ylabel('Number of Movies')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> We can clearly see in the visualization that most movies has drame as a genre which tends to higher profit."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 2.5  (Which are the most frequent cast involved w.r.t Profit of movies making more then 30M Dollars?)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Tom Cruise            28\n",
       "Tom Hanks             27\n",
       "Brad Pitt             26\n",
       "Robert De Niro        24\n",
       "Cameron Diaz          23\n",
       "Eddie Murphy          23\n",
       "Bruce Willis          22\n",
       "Johnny Depp           22\n",
       "Sylvester Stallone    21\n",
       "Denzel Washington     20\n",
       "dtype: int64"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This will first concat all the data with | from the whole column and then split it using | and count the number of times it occured. \n",
    "cast_count = pd.Series(ds_profit['cast'].str.cat(sep = '|').split('|')).value_counts(ascending = False)\n",
    "cast_count.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> #### Which are the most frequent cast involved w.r.t Profit of movies making more then 30 Dollars?\n",
    "> So the Top 5 cast are Tom Cruise, Tom Hanks, Brad Pitt, Robert De Niro, Bruce Willis\n",
    ">\n",
    "> Lets visualize this with a plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "diagram = cast_count.head(10).plot.barh(fontsize = 14)\n",
    "diagram.set(title = 'Top Cast')\n",
    "diagram.set_xlabel('Number of Movies')\n",
    "diagram.set_ylabel('List of cast')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> We can clearly see in the visualization that most movies have Tom Cruise as a cast which tends to higher profit."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='conclusions'></a>\n",
    "## Conclusions\n",
    "\n",
    ">\n",
    "> The average budget of the movies can be arround 53932204.20dollers\n",
    "> The average runtime of the movies can be arround 112.75 Minutes\n",
    ">\n",
    "> The Top 10 Genres we should focus on should be Drama, Comedy, Action, Thriller, Adventure, Romance, Crime, Family, Scince Fiction, Fantasy\n",
    "> \n",
    "> The Top 5 cast we should focus on should be Tom Cruise, Tom Hanks, Brad Pitt, Robert De Niro, Bruce Willis\n",
    ">\n",
    "> The average revenue of the movies will be arround 206359440.87$ "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> #### The limitations \n",
    ">Conclusion is not full proof the above requirement the movie will be a big hit \n",
    ">\n",
    ">We also lost some of the data in the data cleaning steps.\n",
    ">We dont know the revenue and budget of the movie  which was removed in cleaning steps might have affected our analysis.\n",
    " "
   ]
  },
  {
   "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": "3.7.0"
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