Investigation.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "# Investigate a Dataset (TMDb Movie Dataset)\n",
    "\n",
    "## Table of Contents\n",
    "<ul>\n",
    "<li><a style=\"color:black\" href=\"#intro\">Introduction</a></li>\n",
    "<li><a style=\"color:black\" href=\"#wrangling\">Data Wrangling</a></li>\n",
    "<li><a style=\"color:black\" href=\"#eda\">Exploratory Data Analysis</a></li>\n",
    "<li><a style=\"color:black\" href=\"#conclusions\">Conclusions</a></li>\n",
    "</ul>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='intro'></a>\n",
    "## Introduction\n",
    "\n",
    "\n",
    ">#### The TMDb dataset contains most of the necessary information about a movie like rating, revenue, cast etc.\n",
    ">> This data helps us to analyze the movies for trends and answer some interesting questions\n",
    "\n",
    "\n",
    ">### Things explored (<a style=\"color:black\" href=\"#req1\">Questions 1: During years, how are runtime, popularity and average are trending?</a>)\n",
    ">><ul>\n",
    "    <li><a style=\"color:black\" href=\"#runtime\">How Runtime is trending over the years</a></li>\n",
    "    <li><a style=\"color:black\" href=\"#popularity\">How popularity is trending over the years</a></li>\n",
    "    <li><a style=\"color:black\" href=\"#revenue\">How revenue is trending over the years</a></li>\n",
    "</ul>\n",
    "\n",
    ">### Associations explored (<a style=\"color:black\" href=\"#req2\">Question 2: What are some factors that are effecting the revenue of movies</a>)\n",
    ">><ul>\n",
    "    <li><a style=\"color:black\" href=\"#director\">Directors and revenue in their movies</a></li>\n",
    "    <li><a style=\"color:black\" href=\"#genre\">Genre and revenue in those genre movies</a></li>\n",
    "    <li><a style=\"color:black\" href=\"#actor\">lead actor and revenue in their movies</a></li>\n",
    "</ul>\n",
    "\n",
    "<small style=\"font-size:12px\">*Associations and exploration stated are tentative, and the investigation is performed for basic correlation, detailed statistical analysis are yet to be performed.</small>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%pylab inline\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='wrangling'></a>\n",
    "## Data Wrangling\n",
    "\n",
    "> **Tip**: In this section of the report, you will load in the data, check for cleanliness, and then trim and clean your dataset for analysis. Make sure that you document your steps carefully and justify your cleaning decisions.\n",
    "\n",
    "### General Properties"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "scrolled": true
   },
   "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>6.500000</td>\n",
       "      <td>2015</td>\n",
       "      <td>137999939.280026</td>\n",
       "      <td>1392445892.523800</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>7.100000</td>\n",
       "      <td>2015</td>\n",
       "      <td>137999939.280026</td>\n",
       "      <td>348161292.489031</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>6.300000</td>\n",
       "      <td>2015</td>\n",
       "      <td>101199955.472019</td>\n",
       "      <td>271619025.407628</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>7.500000</td>\n",
       "      <td>2015</td>\n",
       "      <td>183999919.040035</td>\n",
       "      <td>1902723129.801820</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>7.300000</td>\n",
       "      <td>2015</td>\n",
       "      <td>174799923.088033</td>\n",
       "      <td>1385748801.470520</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      6.500000          2015 137999939.280026 1392445892.523800  \n",
       "1      7.100000          2015 137999939.280026  348161292.489031  \n",
       "2      6.300000          2015 101199955.472019  271619025.407628  \n",
       "3      7.500000          2015 183999919.040035 1902723129.801820  \n",
       "4      7.300000          2015 174799923.088033 1385748801.470520  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Loading the data from csv file\n",
    "tmdb_data = pd.read_csv('data/tmdb-movies.csv')\n",
    "# check to see how data frame looks like\n",
    "tmdb_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Info about the data\n",
    "<ul>\n",
    "<li>Using head() we were able to see what and observe what exactly are we dealing with here</li>\n",
    "\n",
    "<li>Now that we can see that there are 21 columns which are already names to access them and the indexex are 0,1,2.</li>\n",
    "But we can use imdb_id to uniquely identify movies.\n",
    "</ul>\n",
    "Lets check for any null or missing values in the datase\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Replacing the null values with mean values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "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>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>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>66064.177434</td>\n",
       "      <td>0.646441</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>102.070863</td>\n",
       "      <td>217.389748</td>\n",
       "      <td>5.974922</td>\n",
       "      <td>2001.322658</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>92130.136561</td>\n",
       "      <td>1.000185</td>\n",
       "      <td>30913213.831437</td>\n",
       "      <td>117003486.582085</td>\n",
       "      <td>31.381405</td>\n",
       "      <td>575.619058</td>\n",
       "      <td>0.935142</td>\n",
       "      <td>12.812941</td>\n",
       "      <td>34306155.722844</td>\n",
       "      <td>144632485.039975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000065</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>1960.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>10596.250000</td>\n",
       "      <td>0.207583</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>1995.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>20669.000000</td>\n",
       "      <td>0.383856</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2006.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>75610.000000</td>\n",
       "      <td>0.713817</td>\n",
       "      <td>15000000.000000</td>\n",
       "      <td>24000000.000000</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>145.750000</td>\n",
       "      <td>6.600000</td>\n",
       "      <td>2011.000000</td>\n",
       "      <td>20853251.084404</td>\n",
       "      <td>33697095.717312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>417859.000000</td>\n",
       "      <td>32.985763</td>\n",
       "      <td>425000000.000000</td>\n",
       "      <td>2781505847.000000</td>\n",
       "      <td>900.000000</td>\n",
       "      <td>9767.000000</td>\n",
       "      <td>9.200000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>425000000.000000</td>\n",
       "      <td>2827123750.411890</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 id   popularity           budget           revenue  \\\n",
       "count  10866.000000 10866.000000     10866.000000      10866.000000   \n",
       "mean   66064.177434     0.646441  14625701.094147   39823319.793392   \n",
       "std    92130.136561     1.000185  30913213.831437  117003486.582085   \n",
       "min        5.000000     0.000065         0.000000          0.000000   \n",
       "25%    10596.250000     0.207583         0.000000          0.000000   \n",
       "50%    20669.000000     0.383856         0.000000          0.000000   \n",
       "75%    75610.000000     0.713817  15000000.000000   24000000.000000   \n",
       "max   417859.000000    32.985763 425000000.000000 2781505847.000000   \n",
       "\n",
       "           runtime   vote_count  vote_average  release_year       budget_adj  \\\n",
       "count 10866.000000 10866.000000  10866.000000  10866.000000     10866.000000   \n",
       "mean    102.070863   217.389748      5.974922   2001.322658  17551039.822887   \n",
       "std      31.381405   575.619058      0.935142     12.812941  34306155.722844   \n",
       "min       0.000000    10.000000      1.500000   1960.000000         0.000000   \n",
       "25%      90.000000    17.000000      5.400000   1995.000000         0.000000   \n",
       "50%      99.000000    38.000000      6.000000   2006.000000         0.000000   \n",
       "75%     111.000000   145.750000      6.600000   2011.000000  20853251.084404   \n",
       "max     900.000000  9767.000000      9.200000   2015.000000 425000000.000000   \n",
       "\n",
       "            revenue_adj  \n",
       "count      10866.000000  \n",
       "mean    51364363.253251  \n",
       "std    144632485.039975  \n",
       "min            0.000000  \n",
       "25%            0.000000  \n",
       "50%            0.000000  \n",
       "75%     33697095.717312  \n",
       "max   2827123750.411890  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tmdb_data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_data = tmdb_data.mean(skipna=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "tmdb_data['budget'] = tmdb_data.budget.mask(tmdb_data.budget < 100, mean_data.budget)\n",
    "tmdb_data['revenue'] = tmdb_data.revenue.mask(tmdb_data.revenue < 100, mean_data.revenue)\n",
    "tmdb_data['budget_adj'] = tmdb_data.budget_adj.mask(tmdb_data.budget_adj < 100, mean_data.budget_adj)\n",
    "tmdb_data['revenue_adj'] = tmdb_data.revenue_adj.mask(tmdb_data.revenue_adj < 100, mean_data.revenue_adj)\n",
    "tmdb_data['runtime'] = tmdb_data.runtime.mask(tmdb_data.runtime < 5, mean_data.runtime)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "      <td>10866.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>66064.177434</td>\n",
       "      <td>0.646441</td>\n",
       "      <td>22354467.382164</td>\n",
       "      <td>62007247.080656</td>\n",
       "      <td>102.661838</td>\n",
       "      <td>217.389748</td>\n",
       "      <td>5.974922</td>\n",
       "      <td>2001.322658</td>\n",
       "      <td>26820818.623043</td>\n",
       "      <td>79972602.296036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>92130.136561</td>\n",
       "      <td>1.000185</td>\n",
       "      <td>27979250.085824</td>\n",
       "      <td>110969027.254057</td>\n",
       "      <td>30.415838</td>\n",
       "      <td>575.619058</td>\n",
       "      <td>0.935142</td>\n",
       "      <td>12.812941</td>\n",
       "      <td>30467464.342343</td>\n",
       "      <td>136493479.100997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000065</td>\n",
       "      <td>108.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>1960.000000</td>\n",
       "      <td>103.900086</td>\n",
       "      <td>114.196069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>10596.250000</td>\n",
       "      <td>0.207583</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>1995.000000</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>20669.000000</td>\n",
       "      <td>0.383856</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2006.000000</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>75610.000000</td>\n",
       "      <td>0.713817</td>\n",
       "      <td>15000000.000000</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>145.750000</td>\n",
       "      <td>6.600000</td>\n",
       "      <td>2011.000000</td>\n",
       "      <td>20853251.084404</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>417859.000000</td>\n",
       "      <td>32.985763</td>\n",
       "      <td>425000000.000000</td>\n",
       "      <td>2781505847.000000</td>\n",
       "      <td>900.000000</td>\n",
       "      <td>9767.000000</td>\n",
       "      <td>9.200000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>425000000.000000</td>\n",
       "      <td>2827123750.411890</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 id   popularity           budget           revenue  \\\n",
       "count  10866.000000 10866.000000     10866.000000      10866.000000   \n",
       "mean   66064.177434     0.646441  22354467.382164   62007247.080656   \n",
       "std    92130.136561     1.000185  27979250.085824  110969027.254057   \n",
       "min        5.000000     0.000065       108.000000        100.000000   \n",
       "25%    10596.250000     0.207583  14625701.094147   39823319.793392   \n",
       "50%    20669.000000     0.383856  14625701.094147   39823319.793392   \n",
       "75%    75610.000000     0.713817  15000000.000000   39823319.793392   \n",
       "max   417859.000000    32.985763 425000000.000000 2781505847.000000   \n",
       "\n",
       "           runtime   vote_count  vote_average  release_year       budget_adj  \\\n",
       "count 10866.000000 10866.000000  10866.000000  10866.000000     10866.000000   \n",
       "mean    102.661838   217.389748      5.974922   2001.322658  26820818.623043   \n",
       "std      30.415838   575.619058      0.935142     12.812941  30467464.342343   \n",
       "min       5.000000    10.000000      1.500000   1960.000000       103.900086   \n",
       "25%      90.000000    17.000000      5.400000   1995.000000  17551039.822887   \n",
       "50%      99.000000    38.000000      6.000000   2006.000000  17551039.822887   \n",
       "75%     111.000000   145.750000      6.600000   2011.000000  20853251.084404   \n",
       "max     900.000000  9767.000000      9.200000   2015.000000 425000000.000000   \n",
       "\n",
       "            revenue_adj  \n",
       "count      10866.000000  \n",
       "mean    79972602.296036  \n",
       "std    136493479.100997  \n",
       "min          114.196069  \n",
       "25%     51364363.253251  \n",
       "50%     51364363.253251  \n",
       "75%     51364363.253251  \n",
       "max   2827123750.411890  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tmdb_data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                         0\n",
       "imdb_id                   10\n",
       "popularity                 0\n",
       "budget                     0\n",
       "revenue                    0\n",
       "original_title             0\n",
       "cast                      76\n",
       "homepage                7930\n",
       "director                  44\n",
       "tagline                 2824\n",
       "keywords                1493\n",
       "overview                   4\n",
       "runtime                    0\n",
       "genres                    23\n",
       "production_companies    1030\n",
       "release_date               0\n",
       "vote_count                 0\n",
       "vote_average               0\n",
       "release_year               0\n",
       "budget_adj                 0\n",
       "revenue_adj                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tmdb_data.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Cleaning (Removing or droping null imdb_id row)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">From the above code cell we can see some missing data.\n",
    ">>As the missing information is already padded as NaN and Null numberical values as 0, There is not much of a work is to be done here.<br>\n",
    "Most of the data that is missing is not relevant for my analysis anyway\n",
    "\n",
    "We can see that there are 10 imdb_id's that are null, and we don't need those 10 rows with no imdb_id's."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                         0\n",
       "imdb_id                    0\n",
       "popularity                 0\n",
       "budget                     0\n",
       "revenue                    0\n",
       "original_title             0\n",
       "cast                      76\n",
       "homepage                7922\n",
       "director                  40\n",
       "tagline                 2817\n",
       "keywords                1487\n",
       "overview                   3\n",
       "runtime                    0\n",
       "genres                    21\n",
       "production_companies    1025\n",
       "release_date               0\n",
       "vote_count                 0\n",
       "vote_average               0\n",
       "release_year               0\n",
       "budget_adj                 0\n",
       "revenue_adj                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# After discussing the structure of the data and any problems that need to be\n",
    "#   cleaned, perform those cleaning steps in the second part of this section.\n",
    "\n",
    "tmdb_data.dropna(axis=0, subset=['imdb_id'], inplace=True)\n",
    "tmdb_data.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "### Data Cleaning (Removing unwanted columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 10856 entries, 0 to 10865\n",
      "Data columns (total 16 columns):\n",
      "id                10856 non-null int64\n",
      "imdb_id           10856 non-null object\n",
      "popularity        10856 non-null float64\n",
      "budget            10856 non-null float64\n",
      "revenue           10856 non-null float64\n",
      "original_title    10856 non-null object\n",
      "cast              10780 non-null object\n",
      "director          10816 non-null object\n",
      "runtime           10856 non-null float64\n",
      "genres            10835 non-null object\n",
      "release_date      10856 non-null object\n",
      "vote_count        10856 non-null int64\n",
      "vote_average      10856 non-null float64\n",
      "release_year      10856 non-null int64\n",
      "budget_adj        10856 non-null float64\n",
      "revenue_adj       10856 non-null float64\n",
      "dtypes: float64(7), int64(3), object(6)\n",
      "memory usage: 1.4+ MB\n"
     ]
    }
   ],
   "source": [
    "tmdb_data = tmdb_data.drop(['keywords','production_companies','tagline', 'homepage', 'overview'], axis=1)\n",
    "tmdb_data.info();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th>371</th>\n",
       "      <td>345637</td>\n",
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       "      <td>0.422901</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Sanjay's Super Team</td>\n",
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       "      <td>Sanjay Patel</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>Animation</td>\n",
       "      <td>11/25/15</td>\n",
       "      <td>47</td>\n",
       "      <td>6.900000</td>\n",
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       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
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       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>363869</td>\n",
       "      <td>tt4835298</td>\n",
       "      <td>0.244648</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Belli di papÃ</td>\n",
       "      <td>Diego Abatantuono|Matilde Gioli|Andrea Pisani|...</td>\n",
       "      <td>Guido Chiesa</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10/29/15</td>\n",
       "      <td>21</td>\n",
       "      <td>6.100000</td>\n",
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       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
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       "      <th>441</th>\n",
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       "      <td>0.220751</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Winter on Fire: Ukraine's Fight for Freedom</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Evgeny Afineevsky</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>10/9/15</td>\n",
       "      <td>37</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>2015</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
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       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>321109</td>\n",
       "      <td>tt4393514</td>\n",
       "      <td>0.201696</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Bitter Lake</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adam Curtis</td>\n",
       "      <td>135.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>1/24/15</td>\n",
       "      <td>19</td>\n",
       "      <td>7.800000</td>\n",
       "      <td>2015</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
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       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>320996</td>\n",
       "      <td>tt4073952</td>\n",
       "      <td>0.126594</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Iliza Shlesinger: Freezing Hot</td>\n",
       "      <td>Iliza Shlesinger</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>1/23/15</td>\n",
       "      <td>14</td>\n",
       "      <td>6.600000</td>\n",
       "      <td>2015</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>536</th>\n",
       "      <td>333350</td>\n",
       "      <td>tt3762974</td>\n",
       "      <td>0.122543</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>A Faster Horse</td>\n",
       "      <td>NaN</td>\n",
       "      <td>David Gelb</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>10/8/15</td>\n",
       "      <td>12</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>2015</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>538</th>\n",
       "      <td>224972</td>\n",
       "      <td>tt3983674</td>\n",
       "      <td>0.114264</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>The Mask You Live In</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jennifer Siebel Newsom</td>\n",
       "      <td>88.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>1/1/15</td>\n",
       "      <td>11</td>\n",
       "      <td>8.900000</td>\n",
       "      <td>2015</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>556</th>\n",
       "      <td>321160</td>\n",
       "      <td>tt3908634</td>\n",
       "      <td>0.100910</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>With This Ring</td>\n",
       "      <td>Regina Hall|Jill Scott|Eve|Brooklyn Sudano|Dei...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>Comedy|Romance</td>\n",
       "      <td>1/24/15</td>\n",
       "      <td>14</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>2015</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>587</th>\n",
       "      <td>319091</td>\n",
       "      <td>tt4185572</td>\n",
       "      <td>0.062536</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>The Hunting Ground</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kirby Dick</td>\n",
       "      <td>103.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>2/27/15</td>\n",
       "      <td>39</td>\n",
       "      <td>7.800000</td>\n",
       "      <td>2015</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600</th>\n",
       "      <td>332479</td>\n",
       "      <td>tt4550996</td>\n",
       "      <td>0.047256</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Star Wars: TIE Fighter</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Paul Johnson</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>Science Fiction|Action|Animation</td>\n",
       "      <td>3/24/15</td>\n",
       "      <td>29</td>\n",
       "      <td>7.600000</td>\n",
       "      <td>2015</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>620</th>\n",
       "      <td>361043</td>\n",
       "      <td>tt5022680</td>\n",
       "      <td>0.129696</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>All Hallows' Eve 2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Antonio Padovan|Bryan Norton|Marc Roussel|Ryan...</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10/6/15</td>\n",
       "      <td>13</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2015</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1032</th>\n",
       "      <td>259910</td>\n",
       "      <td>tt3591568</td>\n",
       "      <td>0.291253</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Marvel Studios: Assembling a Universe</td>\n",
       "      <td>Robert Downey Jr.|Chris Hemsworth|Chris Evans|...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>TV Movie|Documentary</td>\n",
       "      <td>3/18/14</td>\n",
       "      <td>32</td>\n",
       "      <td>6.300000</td>\n",
       "      <td>2014</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1054</th>\n",
       "      <td>253675</td>\n",
       "      <td>tt3711030</td>\n",
       "      <td>0.269468</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Unlocking Sherlock</td>\n",
       "      <td>Benedict Cumberbatch|Martin Freeman|Steven Mof...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>TV Movie|Documentary</td>\n",
       "      <td>1/19/14</td>\n",
       "      <td>11</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>2014</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1088</th>\n",
       "      <td>169607</td>\n",
       "      <td>tt2714900</td>\n",
       "      <td>0.226028</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>1503616.000000</td>\n",
       "      <td>Finding Vivian Maier</td>\n",
       "      <td>NaN</td>\n",
       "      <td>John Maloof|Charlie Siskel</td>\n",
       "      <td>83.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>3/28/14</td>\n",
       "      <td>70</td>\n",
       "      <td>7.800000</td>\n",
       "      <td>2014</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>1384967.241397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1173</th>\n",
       "      <td>261041</td>\n",
       "      <td>tt3576038</td>\n",
       "      <td>0.159037</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>The Search for General Tso</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ian Cheney</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>4/20/14</td>\n",
       "      <td>14</td>\n",
       "      <td>6.900000</td>\n",
       "      <td>2014</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1177</th>\n",
       "      <td>269711</td>\n",
       "      <td>tt3723996</td>\n",
       "      <td>0.153047</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>JohnnyExpress</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kyungmin Woo</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>Animation|Comedy|Science Fiction</td>\n",
       "      <td>5/8/14</td>\n",
       "      <td>14</td>\n",
       "      <td>7.800000</td>\n",
       "      <td>2014</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1190</th>\n",
       "      <td>250761</td>\n",
       "      <td>tt3279124</td>\n",
       "      <td>0.137962</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Last Days in Vietnam</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rory Kennedy</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>War|Documentary</td>\n",
       "      <td>9/5/14</td>\n",
       "      <td>20</td>\n",
       "      <td>5.900000</td>\n",
       "      <td>2014</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1203</th>\n",
       "      <td>256561</td>\n",
       "      <td>tt3203290</td>\n",
       "      <td>0.119891</td>\n",
       "      <td>150000.000000</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Free to Play</td>\n",
       "      <td>Benedict Lim|Danil Ishutin|Clinton Loomis</td>\n",
       "      <td>NaN</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>3/19/14</td>\n",
       "      <td>40</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>2014</td>\n",
       "      <td>138163.657616</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1208</th>\n",
       "      <td>282297</td>\n",
       "      <td>tt3302820</td>\n",
       "      <td>0.116190</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Cowspiracy: The Sustainability Secret</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kip Anderson|Keegan Kuhn</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>7/1/14</td>\n",
       "      <td>66</td>\n",
       "      <td>7.600000</td>\n",
       "      <td>2014</td>\n",
       "      <td>107.767653</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1236</th>\n",
       "      <td>250665</td>\n",
       "      <td>tt3399112</td>\n",
       "      <td>0.093062</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>No No: A Dockumentary</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jeffrey Radice</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>1/20/14</td>\n",
       "      <td>13</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>2014</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1241</th>\n",
       "      <td>296370</td>\n",
       "      <td>tt3024964</td>\n",
       "      <td>0.135376</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Dance-Off</td>\n",
       "      <td>Kathryn McCormick|Shane Harper|Finola Hughes|C...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102.070863</td>\n",
       "      <td>Romance|Music|Comedy</td>\n",
       "      <td>1/1/14</td>\n",
       "      <td>18</td>\n",
       "      <td>5.700000</td>\n",
       "      <td>2014</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1256</th>\n",
       "      <td>299729</td>\n",
       "      <td>tt3995006</td>\n",
       "      <td>0.076280</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Banksy Does New York</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Chris Moukarbel</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>11/17/14</td>\n",
       "      <td>22</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>2014</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1288</th>\n",
       "      <td>301235</td>\n",
       "      <td>tt4217172</td>\n",
       "      <td>0.038364</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Top Gear: The Perfect Road Trip 2</td>\n",
       "      <td>Jeremy Clarkson|Richard Hammond</td>\n",
       "      <td>NaN</td>\n",
       "      <td>94.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>11/17/14</td>\n",
       "      <td>12</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>2014</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1315</th>\n",
       "      <td>250745</td>\n",
       "      <td>tt2171902</td>\n",
       "      <td>0.008000</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Happy Valley</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Amir Bar-Lev</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>11/14/14</td>\n",
       "      <td>14</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2014</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1316</th>\n",
       "      <td>245158</td>\n",
       "      <td>tt2925642</td>\n",
       "      <td>0.007622</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Kids for Cash</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Robert May</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>Documentary|Thriller</td>\n",
       "      <td>2/7/14</td>\n",
       "      <td>12</td>\n",
       "      <td>7.100000</td>\n",
       "      <td>2014</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1319</th>\n",
       "      <td>320420</td>\n",
       "      <td>tt3249478</td>\n",
       "      <td>0.005844</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Love Me</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jonathon Narducci</td>\n",
       "      <td>94.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>4/6/14</td>\n",
       "      <td>13</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>2014</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1326</th>\n",
       "      <td>250668</td>\n",
       "      <td>tt2548738</td>\n",
       "      <td>0.023872</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Rich Hill</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tracy Droz Tragos|Andrew Droz Palermo</td>\n",
       "      <td>91.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>1/19/14</td>\n",
       "      <td>14</td>\n",
       "      <td>7.100000</td>\n",
       "      <td>2014</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1327</th>\n",
       "      <td>258614</td>\n",
       "      <td>tt2966760</td>\n",
       "      <td>0.003504</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Pantani: The Accidental Death of a Cyclist</td>\n",
       "      <td>NaN</td>\n",
       "      <td>James Erskine</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>2/17/14</td>\n",
       "      <td>11</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>2014</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1385</th>\n",
       "      <td>20785</td>\n",
       "      <td>tt0075988</td>\n",
       "      <td>0.002457</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Emmet Otter's Jug-Band Christmas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jim Henson</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>Drama|Comedy|Family</td>\n",
       "      <td>1/1/77</td>\n",
       "      <td>10</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>1977</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1712</th>\n",
       "      <td>21634</td>\n",
       "      <td>tt1073510</td>\n",
       "      <td>0.302095</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Prayers for Bobby</td>\n",
       "      <td>Ryan Kelley|Sigourney Weaver|Henry Czerny|Dan ...</td>\n",
       "      <td>Russell Mulcahy</td>\n",
       "      <td>88.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2/27/09</td>\n",
       "      <td>57</td>\n",
       "      <td>7.400000</td>\n",
       "      <td>2009</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6760</th>\n",
       "      <td>38580</td>\n",
       "      <td>tt0816562</td>\n",
       "      <td>0.371028</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>The Little Matchgirl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Roger Allers</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>Drama|Animation</td>\n",
       "      <td>9/7/06</td>\n",
       "      <td>15</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>2006</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6870</th>\n",
       "      <td>14518</td>\n",
       "      <td>tt0863136</td>\n",
       "      <td>0.194447</td>\n",
       "      <td>2300000.000000</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Peter &amp; the Wolf</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Suzie Templeton</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>Animation|Family|Music</td>\n",
       "      <td>9/23/06</td>\n",
       "      <td>11</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>2006</td>\n",
       "      <td>2487839.064071</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6930</th>\n",
       "      <td>53215</td>\n",
       "      <td>tt1051713</td>\n",
       "      <td>0.076078</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Kiwi!</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dony Permedi</td>\n",
       "      <td>102.070863</td>\n",
       "      <td>Animation|Action</td>\n",
       "      <td>1/1/06</td>\n",
       "      <td>15</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>2006</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7579</th>\n",
       "      <td>58432</td>\n",
       "      <td>tt0484273</td>\n",
       "      <td>0.443952</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>La hora frÃ­a</td>\n",
       "      <td>Silke|Omar MuÃ±oz|Pepo Oliva|Carola Manzanares...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>Horror|Thriller|Science Fiction|Mystery|Foreign</td>\n",
       "      <td>9/14/07</td>\n",
       "      <td>10</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>2007</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7650</th>\n",
       "      <td>12172</td>\n",
       "      <td>tt1093824</td>\n",
       "      <td>0.383253</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Encounters at the End of the World</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Werner Herzog</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>9/1/07</td>\n",
       "      <td>38</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>2007</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7723</th>\n",
       "      <td>13016</td>\n",
       "      <td>tt1166827</td>\n",
       "      <td>0.197715</td>\n",
       "      <td>7000000.000000</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Zeitgeist</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Peter Joseph</td>\n",
       "      <td>118.000000</td>\n",
       "      <td>Documentary|History</td>\n",
       "      <td>6/1/07</td>\n",
       "      <td>104</td>\n",
       "      <td>6.900000</td>\n",
       "      <td>2007</td>\n",
       "      <td>7361680.078421</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7767</th>\n",
       "      <td>282758</td>\n",
       "      <td>tt0827573</td>\n",
       "      <td>0.126603</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Doctor Who: The Runaway Bride</td>\n",
       "      <td>David Tennant|Catherine Tate</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>Science Fiction|TV Movie</td>\n",
       "      <td>7/6/07</td>\n",
       "      <td>18</td>\n",
       "      <td>7.600000</td>\n",
       "      <td>2007</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7813</th>\n",
       "      <td>22887</td>\n",
       "      <td>tt0914809</td>\n",
       "      <td>0.065543</td>\n",
       "      <td>6000.000000</td>\n",
       "      <td>6000.000000</td>\n",
       "      <td>Loose Change: Final Cut</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dylan Avery</td>\n",
       "      <td>129.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>11/11/07</td>\n",
       "      <td>12</td>\n",
       "      <td>5.100000</td>\n",
       "      <td>2007</td>\n",
       "      <td>6310.011496</td>\n",
       "      <td>6310.011496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7814</th>\n",
       "      <td>25565</td>\n",
       "      <td>tt1236486</td>\n",
       "      <td>0.040311</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Transformers: Beginnings</td>\n",
       "      <td>Peter Cullen|Frank Welker|Mark Ryan|Patrick Ha...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>Animation|Action|Thriller|Science Fiction</td>\n",
       "      <td>10/16/07</td>\n",
       "      <td>34</td>\n",
       "      <td>5.800000</td>\n",
       "      <td>2007</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7905</th>\n",
       "      <td>13924</td>\n",
       "      <td>tt0086855</td>\n",
       "      <td>0.647261</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>The Adventures of AndrÃ© and Wally B.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Alvy Ray Smith</td>\n",
       "      <td>102.070863</td>\n",
       "      <td>Animation</td>\n",
       "      <td>12/17/84</td>\n",
       "      <td>32</td>\n",
       "      <td>5.300000</td>\n",
       "      <td>1984</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8234</th>\n",
       "      <td>56804</td>\n",
       "      <td>tt0114844</td>\n",
       "      <td>0.028874</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Viaggi di nozze</td>\n",
       "      <td>Carlo Verdone|Claudia Gerini|Veronica Pivetti|...</td>\n",
       "      <td>Carlo Verdone</td>\n",
       "      <td>103.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12/15/95</td>\n",
       "      <td>44</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>1995</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8292</th>\n",
       "      <td>14002</td>\n",
       "      <td>tt0103767</td>\n",
       "      <td>0.521669</td>\n",
       "      <td>4000000.000000</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Baraka</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ron Fricke</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>9/15/92</td>\n",
       "      <td>89</td>\n",
       "      <td>7.600000</td>\n",
       "      <td>1992</td>\n",
       "      <td>6216097.018356</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8614</th>\n",
       "      <td>65595</td>\n",
       "      <td>tt0117880</td>\n",
       "      <td>0.273934</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>T2 3-D: Battle Across Time</td>\n",
       "      <td>Arnold Schwarzenegger|Linda Hamilton|Edward Fu...</td>\n",
       "      <td>James Cameron</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1/96</td>\n",
       "      <td>14</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>1996</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8824</th>\n",
       "      <td>48617</td>\n",
       "      <td>tt0279079</td>\n",
       "      <td>0.191631</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Father and Daughter</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Michael Dudok de Wit</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>Animation|Drama</td>\n",
       "      <td>1/1/00</td>\n",
       "      <td>18</td>\n",
       "      <td>6.900000</td>\n",
       "      <td>2000</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8878</th>\n",
       "      <td>92208</td>\n",
       "      <td>tt0250593</td>\n",
       "      <td>0.038045</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Mom's Got a Date With a Vampire</td>\n",
       "      <td>Matt O'Leary|Laura Vandervoort|Myles Jeffrey|C...</td>\n",
       "      <td>Steve Boyum</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10/13/00</td>\n",
       "      <td>16</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>2000</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8880</th>\n",
       "      <td>48868</td>\n",
       "      <td>tt0400231</td>\n",
       "      <td>0.032577</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>The World of Stainboy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tim Burton</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>Animation</td>\n",
       "      <td>1/1/00</td>\n",
       "      <td>10</td>\n",
       "      <td>6.300000</td>\n",
       "      <td>2000</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9251</th>\n",
       "      <td>13928</td>\n",
       "      <td>tt0097674</td>\n",
       "      <td>0.471351</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Knick Knack</td>\n",
       "      <td>NaN</td>\n",
       "      <td>John Lasseter</td>\n",
       "      <td>102.070863</td>\n",
       "      <td>Animation|Family</td>\n",
       "      <td>1/1/89</td>\n",
       "      <td>77</td>\n",
       "      <td>7.100000</td>\n",
       "      <td>1989</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9307</th>\n",
       "      <td>141859</td>\n",
       "      <td>tt0097446</td>\n",
       "      <td>0.094652</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Goldeneye</td>\n",
       "      <td>Charles Dance|Phyllis Logan|Patrick Ryecart|La...</td>\n",
       "      <td>Don Boyd</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8/26/89</td>\n",
       "      <td>10</td>\n",
       "      <td>5.300000</td>\n",
       "      <td>1989</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9529</th>\n",
       "      <td>13927</td>\n",
       "      <td>tt0096273</td>\n",
       "      <td>0.236514</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Tin Toy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>John Lasseter</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>Animation|Family</td>\n",
       "      <td>8/1/88</td>\n",
       "      <td>51</td>\n",
       "      <td>6.100000</td>\n",
       "      <td>1988</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9564</th>\n",
       "      <td>24348</td>\n",
       "      <td>tt0095895</td>\n",
       "      <td>0.168545</td>\n",
       "      <td>2500000.000000</td>\n",
       "      <td>589244.000000</td>\n",
       "      <td>Powaqqatsi</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Godfrey Reggio</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>Documentary|Drama|Music</td>\n",
       "      <td>4/29/88</td>\n",
       "      <td>18</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>1988</td>\n",
       "      <td>4609727.557726</td>\n",
       "      <td>1086501.722010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9593</th>\n",
       "      <td>46188</td>\n",
       "      <td>tt0220698</td>\n",
       "      <td>0.001662</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Peter Pan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>Action|Adventure|Animation|Family|Fantasy</td>\n",
       "      <td>1/1/88</td>\n",
       "      <td>28</td>\n",
       "      <td>6.600000</td>\n",
       "      <td>1988</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9677</th>\n",
       "      <td>13926</td>\n",
       "      <td>tt0093832</td>\n",
       "      <td>0.253376</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Red's Dream</td>\n",
       "      <td>NaN</td>\n",
       "      <td>John Lasseter</td>\n",
       "      <td>102.070863</td>\n",
       "      <td>Animation</td>\n",
       "      <td>8/17/87</td>\n",
       "      <td>44</td>\n",
       "      <td>6.600000</td>\n",
       "      <td>1987</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9755</th>\n",
       "      <td>48714</td>\n",
       "      <td>tt0061402</td>\n",
       "      <td>0.046272</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>The Big Shave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Martin Scorsese</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>Drama</td>\n",
       "      <td>1/1/68</td>\n",
       "      <td>12</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>1968</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9799</th>\n",
       "      <td>48847</td>\n",
       "      <td>tt0193716</td>\n",
       "      <td>0.175008</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>The Amputee</td>\n",
       "      <td>Catherine E. Coulson|David Lynch</td>\n",
       "      <td>David Lynch</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1/74</td>\n",
       "      <td>11</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1974</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10386</th>\n",
       "      <td>225804</td>\n",
       "      <td>tt1028555</td>\n",
       "      <td>0.118854</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>The Making of 'The Nightmare Before Christmas'</td>\n",
       "      <td>Mike Belzer|Tim Burton|Bonita DeCarlo|Greg Dyk...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>10/3/93</td>\n",
       "      <td>15</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>1993</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10426</th>\n",
       "      <td>34038</td>\n",
       "      <td>tt0061937</td>\n",
       "      <td>0.114034</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Magical Mystery Tour</td>\n",
       "      <td>John Lennon|Paul McCartney|George Harrison|Rin...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>Music</td>\n",
       "      <td>12/25/67</td>\n",
       "      <td>15</td>\n",
       "      <td>5.800000</td>\n",
       "      <td>1967</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10434</th>\n",
       "      <td>48784</td>\n",
       "      <td>tt0060984</td>\n",
       "      <td>0.146906</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Six Men Getting Sick</td>\n",
       "      <td>NaN</td>\n",
       "      <td>David Lynch</td>\n",
       "      <td>102.070863</td>\n",
       "      <td>Animation</td>\n",
       "      <td>1/1/67</td>\n",
       "      <td>16</td>\n",
       "      <td>5.200000</td>\n",
       "      <td>1967</td>\n",
       "      <td>1307.352748</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10550</th>\n",
       "      <td>13925</td>\n",
       "      <td>tt0091455</td>\n",
       "      <td>0.306425</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Luxo Jr.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>John Lasseter</td>\n",
       "      <td>102.070863</td>\n",
       "      <td>Animation|Family</td>\n",
       "      <td>8/17/86</td>\n",
       "      <td>81</td>\n",
       "      <td>7.300000</td>\n",
       "      <td>1986</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10659</th>\n",
       "      <td>4255</td>\n",
       "      <td>tt0065904</td>\n",
       "      <td>0.344172</td>\n",
       "      <td>5000.000000</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>The Party at Kitty and Stud's</td>\n",
       "      <td>Sylvester Stallone|Henrietta Holm|Nicholas War...</td>\n",
       "      <td>Morton Lewis</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2/10/70</td>\n",
       "      <td>10</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1970</td>\n",
       "      <td>28081.841720</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10754</th>\n",
       "      <td>3171</td>\n",
       "      <td>tt0064064</td>\n",
       "      <td>0.002757</td>\n",
       "      <td>14625701.094147</td>\n",
       "      <td>39823319.793392</td>\n",
       "      <td>Bambi Meets Godzilla</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Marv Newland</td>\n",
       "      <td>102.070863</td>\n",
       "      <td>Animation|Comedy</td>\n",
       "      <td>1/1/69</td>\n",
       "      <td>12</td>\n",
       "      <td>5.600000</td>\n",
       "      <td>1969</td>\n",
       "      <td>17551039.822887</td>\n",
       "      <td>51364363.253251</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>129 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           id    imdb_id  popularity          budget         revenue  \\\n",
       "371    345637  tt4661600    0.422901 14625701.094147 39823319.793392   \n",
       "424    363869  tt4835298    0.244648 14625701.094147 39823319.793392   \n",
       "441    355020  tt4908644    0.220751 14625701.094147 39823319.793392   \n",
       "465    321109  tt4393514    0.201696 14625701.094147 39823319.793392   \n",
       "532    320996  tt4073952    0.126594 14625701.094147 39823319.793392   \n",
       "536    333350  tt3762974    0.122543 14625701.094147 39823319.793392   \n",
       "538    224972  tt3983674    0.114264 14625701.094147 39823319.793392   \n",
       "556    321160  tt3908634    0.100910 14625701.094147 39823319.793392   \n",
       "587    319091  tt4185572    0.062536 14625701.094147 39823319.793392   \n",
       "600    332479  tt4550996    0.047256 14625701.094147 39823319.793392   \n",
       "620    361043  tt5022680    0.129696 14625701.094147 39823319.793392   \n",
       "1032   259910  tt3591568    0.291253 14625701.094147 39823319.793392   \n",
       "1054   253675  tt3711030    0.269468 14625701.094147 39823319.793392   \n",
       "1088   169607  tt2714900    0.226028 14625701.094147  1503616.000000   \n",
       "1173   261041  tt3576038    0.159037 14625701.094147 39823319.793392   \n",
       "1177   269711  tt3723996    0.153047 14625701.094147 39823319.793392   \n",
       "1190   250761  tt3279124    0.137962 14625701.094147 39823319.793392   \n",
       "1203   256561  tt3203290    0.119891   150000.000000 39823319.793392   \n",
       "1208   282297  tt3302820    0.116190      117.000000 39823319.793392   \n",
       "1236   250665  tt3399112    0.093062 14625701.094147 39823319.793392   \n",
       "1241   296370  tt3024964    0.135376 14625701.094147 39823319.793392   \n",
       "1256   299729  tt3995006    0.076280 14625701.094147 39823319.793392   \n",
       "1288   301235  tt4217172    0.038364 14625701.094147 39823319.793392   \n",
       "1315   250745  tt2171902    0.008000 14625701.094147 39823319.793392   \n",
       "1316   245158  tt2925642    0.007622 14625701.094147 39823319.793392   \n",
       "1319   320420  tt3249478    0.005844 14625701.094147 39823319.793392   \n",
       "1326   250668  tt2548738    0.023872 14625701.094147 39823319.793392   \n",
       "1327   258614  tt2966760    0.003504 14625701.094147 39823319.793392   \n",
       "1385    20785  tt0075988    0.002457 14625701.094147 39823319.793392   \n",
       "1712    21634  tt1073510    0.302095 14625701.094147 39823319.793392   \n",
       "...       ...        ...         ...             ...             ...   \n",
       "6760    38580  tt0816562    0.371028 14625701.094147 39823319.793392   \n",
       "6870    14518  tt0863136    0.194447  2300000.000000 39823319.793392   \n",
       "6930    53215  tt1051713    0.076078 14625701.094147 39823319.793392   \n",
       "7579    58432  tt0484273    0.443952 14625701.094147 39823319.793392   \n",
       "7650    12172  tt1093824    0.383253 14625701.094147 39823319.793392   \n",
       "7723    13016  tt1166827    0.197715  7000000.000000 39823319.793392   \n",
       "7767   282758  tt0827573    0.126603 14625701.094147 39823319.793392   \n",
       "7813    22887  tt0914809    0.065543     6000.000000     6000.000000   \n",
       "7814    25565  tt1236486    0.040311 14625701.094147 39823319.793392   \n",
       "7905    13924  tt0086855    0.647261 14625701.094147 39823319.793392   \n",
       "8234    56804  tt0114844    0.028874 14625701.094147 39823319.793392   \n",
       "8292    14002  tt0103767    0.521669  4000000.000000 39823319.793392   \n",
       "8614    65595  tt0117880    0.273934 14625701.094147 39823319.793392   \n",
       "8824    48617  tt0279079    0.191631 14625701.094147 39823319.793392   \n",
       "8878    92208  tt0250593    0.038045 14625701.094147 39823319.793392   \n",
       "8880    48868  tt0400231    0.032577 14625701.094147 39823319.793392   \n",
       "9251    13928  tt0097674    0.471351 14625701.094147 39823319.793392   \n",
       "9307   141859  tt0097446    0.094652 14625701.094147 39823319.793392   \n",
       "9529    13927  tt0096273    0.236514 14625701.094147 39823319.793392   \n",
       "9564    24348  tt0095895    0.168545  2500000.000000   589244.000000   \n",
       "9593    46188  tt0220698    0.001662 14625701.094147 39823319.793392   \n",
       "9677    13926  tt0093832    0.253376 14625701.094147 39823319.793392   \n",
       "9755    48714  tt0061402    0.046272 14625701.094147 39823319.793392   \n",
       "9799    48847  tt0193716    0.175008 14625701.094147 39823319.793392   \n",
       "10386  225804  tt1028555    0.118854 14625701.094147 39823319.793392   \n",
       "10426   34038  tt0061937    0.114034 14625701.094147 39823319.793392   \n",
       "10434   48784  tt0060984    0.146906      200.000000 39823319.793392   \n",
       "10550   13925  tt0091455    0.306425 14625701.094147 39823319.793392   \n",
       "10659    4255  tt0065904    0.344172     5000.000000 39823319.793392   \n",
       "10754    3171  tt0064064    0.002757 14625701.094147 39823319.793392   \n",
       "\n",
       "                                       original_title  \\\n",
       "371                               Sanjay's Super Team   \n",
       "424                                    Belli di papÃ    \n",
       "441       Winter on Fire: Ukraine's Fight for Freedom   \n",
       "465                                       Bitter Lake   \n",
       "532                    Iliza Shlesinger: Freezing Hot   \n",
       "536                                    A Faster Horse   \n",
       "538                              The Mask You Live In   \n",
       "556                                    With This Ring   \n",
       "587                                The Hunting Ground   \n",
       "600                            Star Wars: TIE Fighter   \n",
       "620                                All Hallows' Eve 2   \n",
       "1032            Marvel Studios: Assembling a Universe   \n",
       "1054                               Unlocking Sherlock   \n",
       "1088                             Finding Vivian Maier   \n",
       "1173                       The Search for General Tso   \n",
       "1177                                    JohnnyExpress   \n",
       "1190                             Last Days in Vietnam   \n",
       "1203                                     Free to Play   \n",
       "1208            Cowspiracy: The Sustainability Secret   \n",
       "1236                            No No: A Dockumentary   \n",
       "1241                                        Dance-Off   \n",
       "1256                             Banksy Does New York   \n",
       "1288                Top Gear: The Perfect Road Trip 2   \n",
       "1315                                     Happy Valley   \n",
       "1316                                    Kids for Cash   \n",
       "1319                                          Love Me   \n",
       "1326                                        Rich Hill   \n",
       "1327       Pantani: The Accidental Death of a Cyclist   \n",
       "1385                 Emmet Otter's Jug-Band Christmas   \n",
       "1712                                Prayers for Bobby   \n",
       "...                                               ...   \n",
       "6760                             The Little Matchgirl   \n",
       "6870                                 Peter & the Wolf   \n",
       "6930                                            Kiwi!   \n",
       "7579                                    La hora frÃ­a   \n",
       "7650               Encounters at the End of the World   \n",
       "7723                                        Zeitgeist   \n",
       "7767                    Doctor Who: The Runaway Bride   \n",
       "7813                          Loose Change: Final Cut   \n",
       "7814                         Transformers: Beginnings   \n",
       "7905            The Adventures of AndrÃ© and Wally B.   \n",
       "8234                                  Viaggi di nozze   \n",
       "8292                                           Baraka   \n",
       "8614                       T2 3-D: Battle Across Time   \n",
       "8824                              Father and Daughter   \n",
       "8878                  Mom's Got a Date With a Vampire   \n",
       "8880                            The World of Stainboy   \n",
       "9251                                      Knick Knack   \n",
       "9307                                        Goldeneye   \n",
       "9529                                          Tin Toy   \n",
       "9564                                       Powaqqatsi   \n",
       "9593                                        Peter Pan   \n",
       "9677                                      Red's Dream   \n",
       "9755                                    The Big Shave   \n",
       "9799                                      The Amputee   \n",
       "10386  The Making of 'The Nightmare Before Christmas'   \n",
       "10426                            Magical Mystery Tour   \n",
       "10434                            Six Men Getting Sick   \n",
       "10550                                        Luxo Jr.   \n",
       "10659                   The Party at Kitty and Stud's   \n",
       "10754                            Bambi Meets Godzilla   \n",
       "\n",
       "                                                    cast  \\\n",
       "371                                                  NaN   \n",
       "424    Diego Abatantuono|Matilde Gioli|Andrea Pisani|...   \n",
       "441                                                  NaN   \n",
       "465                                                  NaN   \n",
       "532                                     Iliza Shlesinger   \n",
       "536                                                  NaN   \n",
       "538                                                  NaN   \n",
       "556    Regina Hall|Jill Scott|Eve|Brooklyn Sudano|Dei...   \n",
       "587                                                  NaN   \n",
       "600                                                  NaN   \n",
       "620                                                  NaN   \n",
       "1032   Robert Downey Jr.|Chris Hemsworth|Chris Evans|...   \n",
       "1054   Benedict Cumberbatch|Martin Freeman|Steven Mof...   \n",
       "1088                                                 NaN   \n",
       "1173                                                 NaN   \n",
       "1177                                                 NaN   \n",
       "1190                                                 NaN   \n",
       "1203           Benedict Lim|Danil Ishutin|Clinton Loomis   \n",
       "1208                                                 NaN   \n",
       "1236                                                 NaN   \n",
       "1241   Kathryn McCormick|Shane Harper|Finola Hughes|C...   \n",
       "1256                                                 NaN   \n",
       "1288                     Jeremy Clarkson|Richard Hammond   \n",
       "1315                                                 NaN   \n",
       "1316                                                 NaN   \n",
       "1319                                                 NaN   \n",
       "1326                                                 NaN   \n",
       "1327                                                 NaN   \n",
       "1385                                                 NaN   \n",
       "1712   Ryan Kelley|Sigourney Weaver|Henry Czerny|Dan ...   \n",
       "...                                                  ...   \n",
       "6760                                                 NaN   \n",
       "6870                                                 NaN   \n",
       "6930                                                 NaN   \n",
       "7579   Silke|Omar MuÃ±oz|Pepo Oliva|Carola Manzanares...   \n",
       "7650                                                 NaN   \n",
       "7723                                                 NaN   \n",
       "7767                        David Tennant|Catherine Tate   \n",
       "7813                                                 NaN   \n",
       "7814   Peter Cullen|Frank Welker|Mark Ryan|Patrick Ha...   \n",
       "7905                                                 NaN   \n",
       "8234   Carlo Verdone|Claudia Gerini|Veronica Pivetti|...   \n",
       "8292                                                 NaN   \n",
       "8614   Arnold Schwarzenegger|Linda Hamilton|Edward Fu...   \n",
       "8824                                                 NaN   \n",
       "8878   Matt O'Leary|Laura Vandervoort|Myles Jeffrey|C...   \n",
       "8880                                                 NaN   \n",
       "9251                                                 NaN   \n",
       "9307   Charles Dance|Phyllis Logan|Patrick Ryecart|La...   \n",
       "9529                                                 NaN   \n",
       "9564                                                 NaN   \n",
       "9593                                                 NaN   \n",
       "9677                                                 NaN   \n",
       "9755                                                 NaN   \n",
       "9799                    Catherine E. Coulson|David Lynch   \n",
       "10386  Mike Belzer|Tim Burton|Bonita DeCarlo|Greg Dyk...   \n",
       "10426  John Lennon|Paul McCartney|George Harrison|Rin...   \n",
       "10434                                                NaN   \n",
       "10550                                                NaN   \n",
       "10659  Sylvester Stallone|Henrietta Holm|Nicholas War...   \n",
       "10754                                                NaN   \n",
       "\n",
       "                                                director    runtime  \\\n",
       "371                                         Sanjay Patel   7.000000   \n",
       "424                                         Guido Chiesa 100.000000   \n",
       "441                                    Evgeny Afineevsky  98.000000   \n",
       "465                                          Adam Curtis 135.000000   \n",
       "532                                                  NaN  71.000000   \n",
       "536                                           David Gelb  90.000000   \n",
       "538                               Jennifer Siebel Newsom  88.000000   \n",
       "556                                                  NaN 105.000000   \n",
       "587                                           Kirby Dick 103.000000   \n",
       "600                                         Paul Johnson   7.000000   \n",
       "620    Antonio Padovan|Bryan Norton|Marc Roussel|Ryan...  90.000000   \n",
       "1032                                                 NaN  43.000000   \n",
       "1054                                                 NaN  60.000000   \n",
       "1088                          John Maloof|Charlie Siskel  83.000000   \n",
       "1173                                          Ian Cheney  71.000000   \n",
       "1177                                        Kyungmin Woo   5.000000   \n",
       "1190                                        Rory Kennedy  98.000000   \n",
       "1203                                                 NaN  75.000000   \n",
       "1208                            Kip Anderson|Keegan Kuhn  85.000000   \n",
       "1236                                      Jeffrey Radice 100.000000   \n",
       "1241                                                 NaN 102.070863   \n",
       "1256                                     Chris Moukarbel  79.000000   \n",
       "1288                                                 NaN  94.000000   \n",
       "1315                                        Amir Bar-Lev  98.000000   \n",
       "1316                                          Robert May 102.000000   \n",
       "1319                                   Jonathon Narducci  94.000000   \n",
       "1326               Tracy Droz Tragos|Andrew Droz Palermo  91.000000   \n",
       "1327                                       James Erskine  90.000000   \n",
       "1385                                          Jim Henson  48.000000   \n",
       "1712                                     Russell Mulcahy  88.000000   \n",
       "...                                                  ...        ...   \n",
       "6760                                        Roger Allers   7.000000   \n",
       "6870                                     Suzie Templeton  32.000000   \n",
       "6930                                        Dony Permedi 102.070863   \n",
       "7579                                                 NaN  92.000000   \n",
       "7650                                       Werner Herzog  99.000000   \n",
       "7723                                        Peter Joseph 118.000000   \n",
       "7767                                                 NaN  60.000000   \n",
       "7813                                         Dylan Avery 129.000000   \n",
       "7814                                                 NaN  22.000000   \n",
       "7905                                      Alvy Ray Smith 102.070863   \n",
       "8234                                       Carlo Verdone 103.000000   \n",
       "8292                                          Ron Fricke  96.000000   \n",
       "8614                                       James Cameron  12.000000   \n",
       "8824                                Michael Dudok de Wit   8.000000   \n",
       "8878                                         Steve Boyum  85.000000   \n",
       "8880                                          Tim Burton  30.000000   \n",
       "9251                                       John Lasseter 102.070863   \n",
       "9307                                            Don Boyd 105.000000   \n",
       "9529                                       John Lasseter   5.000000   \n",
       "9564                                      Godfrey Reggio  99.000000   \n",
       "9593                                                 NaN  52.000000   \n",
       "9677                                       John Lasseter 102.070863   \n",
       "9755                                     Martin Scorsese   6.000000   \n",
       "9799                                         David Lynch   5.000000   \n",
       "10386                                                NaN  25.000000   \n",
       "10426                                                NaN  55.000000   \n",
       "10434                                        David Lynch 102.070863   \n",
       "10550                                      John Lasseter 102.070863   \n",
       "10659                                       Morton Lewis  71.000000   \n",
       "10754                                       Marv Newland 102.070863   \n",
       "\n",
       "                                                genres release_date  \\\n",
       "371                                          Animation     11/25/15   \n",
       "424                                                NaN     10/29/15   \n",
       "441                                        Documentary      10/9/15   \n",
       "465                                        Documentary      1/24/15   \n",
       "532                                             Comedy      1/23/15   \n",
       "536                                        Documentary      10/8/15   \n",
       "538                                        Documentary       1/1/15   \n",
       "556                                     Comedy|Romance      1/24/15   \n",
       "587                                        Documentary      2/27/15   \n",
       "600                   Science Fiction|Action|Animation      3/24/15   \n",
       "620                                                NaN      10/6/15   \n",
       "1032                              TV Movie|Documentary      3/18/14   \n",
       "1054                              TV Movie|Documentary      1/19/14   \n",
       "1088                                       Documentary      3/28/14   \n",
       "1173                                       Documentary      4/20/14   \n",
       "1177                  Animation|Comedy|Science Fiction       5/8/14   \n",
       "1190                                   War|Documentary       9/5/14   \n",
       "1203                                       Documentary      3/19/14   \n",
       "1208                                       Documentary       7/1/14   \n",
       "1236                                       Documentary      1/20/14   \n",
       "1241                              Romance|Music|Comedy       1/1/14   \n",
       "1256                                       Documentary     11/17/14   \n",
       "1288                                       Documentary     11/17/14   \n",
       "1315                                       Documentary     11/14/14   \n",
       "1316                              Documentary|Thriller       2/7/14   \n",
       "1319                                       Documentary       4/6/14   \n",
       "1326                                       Documentary      1/19/14   \n",
       "1327                                       Documentary      2/17/14   \n",
       "1385                               Drama|Comedy|Family       1/1/77   \n",
       "1712                                               NaN      2/27/09   \n",
       "...                                                ...          ...   \n",
       "6760                                   Drama|Animation       9/7/06   \n",
       "6870                            Animation|Family|Music      9/23/06   \n",
       "6930                                  Animation|Action       1/1/06   \n",
       "7579   Horror|Thriller|Science Fiction|Mystery|Foreign      9/14/07   \n",
       "7650                                       Documentary       9/1/07   \n",
       "7723                               Documentary|History       6/1/07   \n",
       "7767                          Science Fiction|TV Movie       7/6/07   \n",
       "7813                                       Documentary     11/11/07   \n",
       "7814         Animation|Action|Thriller|Science Fiction     10/16/07   \n",
       "7905                                         Animation     12/17/84   \n",
       "8234                                               NaN     12/15/95   \n",
       "8292                                       Documentary      9/15/92   \n",
       "8614                                               NaN       1/1/96   \n",
       "8824                                   Animation|Drama       1/1/00   \n",
       "8878                                               NaN     10/13/00   \n",
       "8880                                         Animation       1/1/00   \n",
       "9251                                  Animation|Family       1/1/89   \n",
       "9307                                               NaN      8/26/89   \n",
       "9529                                  Animation|Family       8/1/88   \n",
       "9564                           Documentary|Drama|Music      4/29/88   \n",
       "9593         Action|Adventure|Animation|Family|Fantasy       1/1/88   \n",
       "9677                                         Animation      8/17/87   \n",
       "9755                                             Drama       1/1/68   \n",
       "9799                                               NaN       1/1/74   \n",
       "10386                                      Documentary      10/3/93   \n",
       "10426                                            Music     12/25/67   \n",
       "10434                                        Animation       1/1/67   \n",
       "10550                                 Animation|Family      8/17/86   \n",
       "10659                                              NaN      2/10/70   \n",
       "10754                                 Animation|Comedy       1/1/69   \n",
       "\n",
       "       vote_count  vote_average  release_year      budget_adj     revenue_adj  \n",
       "371            47      6.900000          2015 17551039.822887 51364363.253251  \n",
       "424            21      6.100000          2015 17551039.822887 51364363.253251  \n",
       "441            37      8.200000          2015 17551039.822887 51364363.253251  \n",
       "465            19      7.800000          2015 17551039.822887 51364363.253251  \n",
       "532            14      6.600000          2015 17551039.822887 51364363.253251  \n",
       "536            12      8.000000          2015 17551039.822887 51364363.253251  \n",
       "538            11      8.900000          2015 17551039.822887 51364363.253251  \n",
       "556            14      6.500000          2015 17551039.822887 51364363.253251  \n",
       "587            39      7.800000          2015 17551039.822887 51364363.253251  \n",
       "600            29      7.600000          2015 17551039.822887 51364363.253251  \n",
       "620            13      5.000000          2015 17551039.822887 51364363.253251  \n",
       "1032           32      6.300000          2014 17551039.822887 51364363.253251  \n",
       "1054           11      7.200000          2014 17551039.822887 51364363.253251  \n",
       "1088           70      7.800000          2014 17551039.822887  1384967.241397  \n",
       "1173           14      6.900000          2014 17551039.822887 51364363.253251  \n",
       "1177           14      7.800000          2014 17551039.822887 51364363.253251  \n",
       "1190           20      5.900000          2014 17551039.822887 51364363.253251  \n",
       "1203           40      7.000000          2014   138163.657616 51364363.253251  \n",
       "1208           66      7.600000          2014      107.767653 51364363.253251  \n",
       "1236           13      6.700000          2014 17551039.822887 51364363.253251  \n",
       "1241           18      5.700000          2014 17551039.822887 51364363.253251  \n",
       "1256           22      6.800000          2014 17551039.822887 51364363.253251  \n",
       "1288           12      6.800000          2014 17551039.822887 51364363.253251  \n",
       "1315           14      6.000000          2014 17551039.822887 51364363.253251  \n",
       "1316           12      7.100000          2014 17551039.822887 51364363.253251  \n",
       "1319           13      7.000000          2014 17551039.822887 51364363.253251  \n",
       "1326           14      7.100000          2014 17551039.822887 51364363.253251  \n",
       "1327           11      6.500000          2014 17551039.822887 51364363.253251  \n",
       "1385           10      7.500000          1977 17551039.822887 51364363.253251  \n",
       "1712           57      7.400000          2009 17551039.822887 51364363.253251  \n",
       "...           ...           ...           ...             ...             ...  \n",
       "6760           15      6.500000          2006 17551039.822887 51364363.253251  \n",
       "6870           11      6.700000          2006  2487839.064071 51364363.253251  \n",
       "6930           15      6.700000          2006 17551039.822887 51364363.253251  \n",
       "7579           10      4.900000          2007 17551039.822887 51364363.253251  \n",
       "7650           38      6.700000          2007 17551039.822887 51364363.253251  \n",
       "7723          104      6.900000          2007  7361680.078421 51364363.253251  \n",
       "7767           18      7.600000          2007 17551039.822887 51364363.253251  \n",
       "7813           12      5.100000          2007     6310.011496     6310.011496  \n",
       "7814           34      5.800000          2007 17551039.822887 51364363.253251  \n",
       "7905           32      5.300000          1984 17551039.822887 51364363.253251  \n",
       "8234           44      6.700000          1995 17551039.822887 51364363.253251  \n",
       "8292           89      7.600000          1992  6216097.018356 51364363.253251  \n",
       "8614           14      6.700000          1996 17551039.822887 51364363.253251  \n",
       "8824           18      6.900000          2000 17551039.822887 51364363.253251  \n",
       "8878           16      5.400000          2000 17551039.822887 51364363.253251  \n",
       "8880           10      6.300000          2000 17551039.822887 51364363.253251  \n",
       "9251           77      7.100000          1989 17551039.822887 51364363.253251  \n",
       "9307           10      5.300000          1989 17551039.822887 51364363.253251  \n",
       "9529           51      6.100000          1988 17551039.822887 51364363.253251  \n",
       "9564           18      7.200000          1988  4609727.557726  1086501.722010  \n",
       "9593           28      6.600000          1988 17551039.822887 51364363.253251  \n",
       "9677           44      6.600000          1987 17551039.822887 51364363.253251  \n",
       "9755           12      6.700000          1968 17551039.822887 51364363.253251  \n",
       "9799           11      5.000000          1974 17551039.822887 51364363.253251  \n",
       "10386          15      7.500000          1993 17551039.822887 51364363.253251  \n",
       "10426          15      5.800000          1967 17551039.822887 51364363.253251  \n",
       "10434          16      5.200000          1967     1307.352748 51364363.253251  \n",
       "10550          81      7.300000          1986 17551039.822887 51364363.253251  \n",
       "10659          10      3.000000          1970    28081.841720 51364363.253251  \n",
       "10754          12      5.600000          1969 17551039.822887 51364363.253251  \n",
       "\n",
       "[129 rows x 16 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tmdb_data[tmdb_data.isnull().any(axis=1)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data is missing in some rows but those are already padded with NaN or 0, so that won't be a problem."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "### Data Cleaning (Editing column names)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Renaming release_date as release_month, with only month instead of having date which might be irrelevent for the analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime as d\n",
    "def time_change(data):\n",
    "    return d.strftime(d.strptime(data, \"%m/%d/%y\"), \"%B\")\n",
    "\n",
    "# There is not much of a need with release date exactly, so we will only absorb release month\n",
    "tmdb_data[\"release_month\"] = tmdb_data[\"release_date\"].apply(time_change)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "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>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>director</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</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",
       "      <th>release_month</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>150000000.000000</td>\n",
       "      <td>1513528810.000000</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>124.000000</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>5562</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>2015</td>\n",
       "      <td>137999939.280026</td>\n",
       "      <td>1392445892.523800</td>\n",
       "      <td>June</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>76341</td>\n",
       "      <td>tt1392190</td>\n",
       "      <td>28.419936</td>\n",
       "      <td>150000000.000000</td>\n",
       "      <td>378436354.000000</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>5/13/15</td>\n",
       "      <td>6185</td>\n",
       "      <td>7.100000</td>\n",
       "      <td>2015</td>\n",
       "      <td>137999939.280026</td>\n",
       "      <td>348161292.489031</td>\n",
       "      <td>May</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>262500</td>\n",
       "      <td>tt2908446</td>\n",
       "      <td>13.112507</td>\n",
       "      <td>110000000.000000</td>\n",
       "      <td>295238201.000000</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>Shailene Woodley|Theo James|Kate Winslet|Ansel...</td>\n",
       "      <td>Robert Schwentke</td>\n",
       "      <td>119.000000</td>\n",
       "      <td>Adventure|Science Fiction|Thriller</td>\n",
       "      <td>3/18/15</td>\n",
       "      <td>2480</td>\n",
       "      <td>6.300000</td>\n",
       "      <td>2015</td>\n",
       "      <td>101199955.472019</td>\n",
       "      <td>271619025.407628</td>\n",
       "      <td>March</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>140607</td>\n",
       "      <td>tt2488496</td>\n",
       "      <td>11.173104</td>\n",
       "      <td>200000000.000000</td>\n",
       "      <td>2068178225.000000</td>\n",
       "      <td>Star Wars: The Force Awakens</td>\n",
       "      <td>Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...</td>\n",
       "      <td>J.J. Abrams</td>\n",
       "      <td>136.000000</td>\n",
       "      <td>Action|Adventure|Science Fiction|Fantasy</td>\n",
       "      <td>12/15/15</td>\n",
       "      <td>5292</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>2015</td>\n",
       "      <td>183999919.040035</td>\n",
       "      <td>1902723129.801820</td>\n",
       "      <td>December</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>168259</td>\n",
       "      <td>tt2820852</td>\n",
       "      <td>9.335014</td>\n",
       "      <td>190000000.000000</td>\n",
       "      <td>1506249360.000000</td>\n",
       "      <td>Furious 7</td>\n",
       "      <td>Vin Diesel|Paul Walker|Jason Statham|Michelle ...</td>\n",
       "      <td>James Wan</td>\n",
       "      <td>137.000000</td>\n",
       "      <td>Action|Crime|Thriller</td>\n",
       "      <td>4/1/15</td>\n",
       "      <td>2947</td>\n",
       "      <td>7.300000</td>\n",
       "      <td>2015</td>\n",
       "      <td>174799923.088033</td>\n",
       "      <td>1385748801.470520</td>\n",
       "      <td>April</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       id    imdb_id  popularity           budget           revenue  \\\n",
       "0  135397  tt0369610   32.985763 150000000.000000 1513528810.000000   \n",
       "1   76341  tt1392190   28.419936 150000000.000000  378436354.000000   \n",
       "2  262500  tt2908446   13.112507 110000000.000000  295238201.000000   \n",
       "3  140607  tt2488496   11.173104 200000000.000000 2068178225.000000   \n",
       "4  168259  tt2820852    9.335014 190000000.000000 1506249360.000000   \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          director  \\\n",
       "0  Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...   Colin Trevorrow   \n",
       "1  Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...     George Miller   \n",
       "2  Shailene Woodley|Theo James|Kate Winslet|Ansel...  Robert Schwentke   \n",
       "3  Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...       J.J. Abrams   \n",
       "4  Vin Diesel|Paul Walker|Jason Statham|Michelle ...         James Wan   \n",
       "\n",
       "     runtime                                     genres release_date  \\\n",
       "0 124.000000  Action|Adventure|Science Fiction|Thriller       6/9/15   \n",
       "1 120.000000  Action|Adventure|Science Fiction|Thriller      5/13/15   \n",
       "2 119.000000         Adventure|Science Fiction|Thriller      3/18/15   \n",
       "3 136.000000   Action|Adventure|Science Fiction|Fantasy     12/15/15   \n",
       "4 137.000000                      Action|Crime|Thriller       4/1/15   \n",
       "\n",
       "   vote_count  vote_average  release_year       budget_adj       revenue_adj  \\\n",
       "0        5562      6.500000          2015 137999939.280026 1392445892.523800   \n",
       "1        6185      7.100000          2015 137999939.280026  348161292.489031   \n",
       "2        2480      6.300000          2015 101199955.472019  271619025.407628   \n",
       "3        5292      7.500000          2015 183999919.040035 1902723129.801820   \n",
       "4        2947      7.300000          2015 174799923.088033 1385748801.470520   \n",
       "\n",
       "  release_month  \n",
       "0          June  \n",
       "1           May  \n",
       "2         March  \n",
       "3      December  \n",
       "4         April  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tmdb_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='req1'></a>\n",
    "## Exploratory Data Analysis\n",
    "<br>\n",
    "### Research Question 1 \n",
    ">### During years, how are runtime, popularity and average are trending?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "years_data = tmdb_data.groupby(\"release_year\").mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">Now we have movies grouped by their respective release_year, now we can answer the question"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Lets observe how many movies are in each year."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "# To get number of movies in each year\n",
    "movie_year_count = tmdb_data.groupby(\"release_year\").describe()['budget']['count']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23eb441d898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "movie_year_count.plot( title='Number of movies in each year')\n",
    "plt.ylabel(\"Frequency\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It can be clearly inferred that the number of movies has been increased drastically after 1990"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='runtime'></a>\n",
    ">#### Runtime over the years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23eb4251668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "years_data['runtime'].plot.hist()\n",
    "plt.xlabel(\"Rntime in minutes\")\n",
    "plt.title(\"Runtime over the years\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count     56.000000\n",
       "mean     106.143784\n",
       "std        5.318237\n",
       "min       97.405117\n",
       "25%      102.120755\n",
       "50%      105.785868\n",
       "75%      108.851172\n",
       "max      124.343750\n",
       "Name: runtime, dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "years_data['runtime'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">#### Observation\n",
    ">><ul><li>It can be observed that the runtime over the years is not much changed and mostly lied between 102 and 108 minutes.</li><li>Distribution is right skewed.</li></ul>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='popularity'></a>\n",
    ">#### Popularity over the years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23eb42c44a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "years_data['popularity'].plot()\n",
    "plt.ylabel('normalized popularity')\n",
    "plt.title(\"Popularity of movies over the years\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23eb4309cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "years_data['popularity'].hist(bins=10)\n",
    "plt.xlabel('Normalized popularity')\n",
    "plt.ylabel(\"Frequency\")\n",
    "plt.title(\"Popularity of movies over the years\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    56.000000\n",
       "mean      0.559691\n",
       "std       0.128433\n",
       "min       0.304112\n",
       "25%       0.469625\n",
       "50%       0.546928\n",
       "75%       0.626934\n",
       "max       1.032126\n",
       "Name: popularity, dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "years_data['popularity'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">#### Observations\n",
    "<ul>\n",
    "    <li>It can be observed that the popularity for movies has been increasing gradually and there was a sudden rise in popularity for movies after 2010. <b>Rise of social media and promotions through it explains the rise.</b></li>\n",
    "    <li>The distribution is right skewed</li>\n",
    "    <li>It is also observed that there are no movies between 0.7 and 0.9 popularity rating which is questionable</li>\n",
    "</ul>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='revenue'></a>\n",
    ">### Revenue over the years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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v84kf7uOiNbX8r9/fES8GeMW6BoaDEQ7N0Pcxn+GooEJBUZYFXn8o7mQG4vWLpvoVegOhpByFRNY2VHDS1hQWQ9SRQ6ujxcxQKLx8epChsfG080bDEV46McC1mzJ3fLQEw06uWt/AV37TQVNVKV9//07Kil3xOY5W9eIMTEj+4Dje4dC8haOCCgVFWRY4JS4c0mU1p8pmTqS9wcNrZ/30BsKLxnQE4CoSVteVZ68p+AKsqC4lGjM829Gbdt4Lx/sJR2Ncu3n6NsDlJS6+cedlfPxNm/jOB69I+n9srS1nTX05L5zI3tl8zBZe8xWOCioUFGXJExyPMjQ2PklTaK4qpUhSCIXh5LpHibQ1VOCYxK9Yv7BJa1NZ21CRlU8hHInR2TfK7128iqpSd0YT0pNHfJS6i7IWgOUlLj755s2sa0x9E7+8vYEXT/THcz2mw6l5tGQ0BRGpFZEHROSwiBwSkaumnL9eRIZEZJ/9+lw+16MoyxGnDWeiUHC7ilhZXTap1IUxhr6R6TUFsFp0OseLhbX15Vn1Vejss8pQn7eyijdsbOSpI760N+mnjvq4Yn3DJDPQXLhifT0Do+Mc9U4f9QSWmavYJfFSHvNBvjWF/w08Yow5D9gBHEox52ljzEX262/zvB5FWXY4HddWTkkya60tn9SBbWhsnPGoSSqbnYiTq3DFuvp5i4bJlrb6CvzBCEOj6X0EkFCGuqmK67Y0cXYoGB9LpGtglOO+Ea7d1JizNTp+mGzzFY75ArQ3VOB2zZ9RJ28/SUSqgWuBbwAYY8LGmMF8/TxFUVIzkc2cbOM+mxB9NJG4ll5TWFvvYfOKSt62vSUPK50bTrXUY72Zn8IdAbChuSLuK0hlQnrqiOVruC4Lf0K2rK33sNLOBs+GY975jTyC/GoK6wEf8C0ReVlE7heRVIa2q0Rkv4j8QkQuSHUhEblLRHaLyG6fb/oQMkVRJnA0hRU1kzWFltoyugeDxGwngW84fd0jhxJ3Eb/85HXcfOHiEwoX2L2LD54ZyjjvmC/AqtpyPCVuVtWWs7G5Mo1Q8NFSU5ZTe76I1Z70hSz8CuFIjM7+0Xn1J0B+hYIbuAT4qjHmYmAE+MyUOXuBNmPMDuD/AP+Z6kLGmPuMMTuNMTubmnIntRVlOXBuKISnxDWp5zJYYanhaIzeEUtDyFT3qBBorSmjoaKEA12ZhUKHLzCpjtB1m5t44UQ/Y+FofCwSjfHMsV6u3dSUczPZ5evq8Q2HkhoWTcXxfWxonr/II8ivUOgCuowxL9jvH8ASEnGMMX5jTMA+fhgoFpHcGfAURaFn2Epcm3pza51SQntCKCxcw5y5ICJsX13Dga70VupYzHDMOzKpjtB1m5sIR2I8nxAqur9rkOFgJKtQ1JnilBqfzq9wzDfh+5hP8iYUjDHngNMissUeehPwWuIcEVkp9m+qiFxur2fmFaMURUlLz1CQ5urkp38nV6HbjkDqDYRwFQl1nsIUCgDbV9fS4Q2k7dd8dmiMsfHopKfvy9fVU+ou4qkEE9KTR3opErhmY+6fUTc0VdBYWTJtEpvj+1g/jzkKkP/S2X8CfE9ESoDjwAdE5KMAxph7gXcAHxORCDAGvNtkG8CrKEpWnPMH2dlWlzQ+kdVsC4XhMPUVJfGyDIXI9tU1xIxVojpVbsFE5NGEplBW7OLK9Q2T/ApPHfGxY00tNZ7kGlBzRUS4fF39tM7mY74RWmqs/hfzSV7jnIwx+2xfwHZjzO8ZYwaMMffaAgFjzFeMMRcYY3YYY640xjybz/UoynLDGGOVuKhJ7nlQXe7GU+KaZD4qVH+Cw7bVlrM5nQkpLhSmOG+v29zEcd8Ip/tHGRwNc6BrcNrSFnPh8vZ6zgyO0TWQ3q9wzDd/3dYS0YxmRVnCDIyOE47GknIUwHpiba2dKKFtCYXCNR0BNFeV0VJTltbZfMwXoM5TTMMU4XfdFksAPHXUx287eokZ8uJPcHCywZ3udVNxWnDOdzgqqFBQlCVNqmzmRBI7sPUGwjQVuKYAZHQ2d6Tpdby+sYJVteU8+bqPp474qC5zs8PWOvLBlhVV1JQXp62DFG/BqZqCoii5pMefWSg4HdiMMfgCoXlr5JJPtq+u5WTfaMrM5nRCQUS4bksTzx7r48kjPq7Z1JjXLOKiIuGy9vq0zuaOBSiE56BCQVGWMD1T2nBOpaWmnN5AiL6RMOFIrOB9CmBpCgCvTEli6x8JMzA6ntYkc93mJgKhCD3+UF79CQ5Xrq/nZN9o/DtK5Fga38d8oEJBUZYwTomLdGYhJyz1FdsGn6mXQqGwfVUtYOUaJJLOyexw9YYG3Hbk1Rvz6E9wcKKjnnjdm3SuwxewWnAugJBWoaAoS5gef5DGyhJK3Kn/1J0ObM4NdCloCjWeYtoaPHFB5zCdUKgqK+bydfVsWVEVD9fNJ+e3VHPeyio+97NXk8psHPOOsLF5/lpwJqJCQVGWMOeGgmn9CTCRq+BE6ywFoQCWX2Gqs7nDG6C82BXP5E7Fl959Ed/6wGX5Xh5glS//3oevYENTJR/59m5++eq5+Ln5bsGZiAoFJe9kaneo5JcefyhlOKqD42s4sIQ0BYDtq2o4OxTENxyKj3X4AqxvqsiYnNdcVRY3qc0HDZWlfP8jV3J+azUf+95eHtp/dkFacCaiQkHJK4e6/Vz8t7/k9XPDC72UZUmPP0hzBqFQ6nbRWFlKbyBMkUB9ReH7FCDR2TyhLRxLE3m00NR4ivnuh6/g0rY6Pv6Dl/nio68DqKagLE06+0aJGTiZRUcsJbeEIlH6RsIZNQWwwlLBEgiuAi5xkciFq2oQgf2nLbPYSCjCmcGxSeUtFhOVpW6+/YHLecPGRr7zXCewMOGooEJByTPDQct0NDgaXuCVLD8c08nKmswmIcdcslRMRwAVpW42NlXGw1KPL0Cv45lSXuLi6+/fyY1bm6n1FM9rC85E5rfSkrLsGA5a1SoHpmmRqEzPeDTGD146zbt2rkkbTZTIdIlrDktRKIDlbH7yiBdjDB0+y3y5mIUCWMX5vv7+nYyEo/PagjMR1RSUvOK3NYUB1RTmzG8Oe/nr/zzIrw/3ZDX/3JClKUwnFFpsZ3Oh1z2ayvbVNfQGwnQPBTnmHcFVJPEe04sZEaFyniujJqJCQckrjqYwOKKawlx5rdsPJGfqpsNJXJvep7BUNYWJiqkd3gBtDZ6sNKzljv4PKXllWDWFnHEoLhT8Wc33+oOUuIuonaYnQNx8tATqHiWytaUad5Gwv2uIDl9g0TqZFxt5FQoiUisiD4jIYRE5JCJXTTkvIvJlEekQkQMickm6aymFiX/M1hTUpzBnDnVbdvGDZ4ambfoOlqaworp02qzY9U0VrK4rZ8fq2pysc7FQVuxiy8oq9nYOcLJ3ZNH7ExYL+dYU/jfwiDHmPGAHcGjK+bcAm+zXXcBX87weZZ4ZDqmmkAuGg+Oc6h+lpaaM/pEwZ4eSi6hN5dxQcFrTEVjlHX77F7u4akNDLpa6qNi+upaXTvYTiRkVClmSN6EgItXAtcA3AIwxYWPM1CLntwHfMRbPA7Ui0pKvNSnzj6MpaPTR3HCS/95x6WqApLo+qejxZy5xsRxw2nPCwiWDFRr51BTWAz7gWyLysojcLyJTXf+rgNMJ77vssUmIyF0isltEdvt8vqmnlUWM41MYGgtnZfJQUuP4E26/eBWuIuHgNM5mY8y0JS6WA9sTGuUsRMOaQiSfQsENXAJ81RhzMTACfGbKnFTGzqQ7hzHmPrvX886mpvyXtFVyhxN9NB41jISjC7yawuW17mFqyotZ11jBpubKaSOQ/MEIY+PRZa8pbF5RRam7iJaasgUN8ywk8ikUuoAuY8wL9vsHsITE1DlrEt6vBs7mcU3KPGKMwR8cj8e/D4yoX2G2HOr2s7WlChHhwlU10zqbzwxYLTZXpGmus1wodhVx+bp6LlqztJzo+SRvQsEYcw44LSJb7KE3Aa9NmfYg8H47CulKYMgY052vNSnzSygSYzxq4un6GoE0O2Ixw+vnhtnaUg3AtlU19I2E43kIqXj2WC8Al6zVm+HX/uBS/vldFy30MgqGfOtTfwJ8T0RKgOPAB0TkowDGmHuBh4G3Ah3AKPCBPK9HmUecbOa19R72nhrUCKRZ0tk/yth4lK0rLaFw4Sq7AmjXEC1pegM88bqPTc2VrK5bmPo5iwlPiZqNZkJe/7eMMfuAnVOG7004b4C787kGZeFwIo8cTUGFwuxwnMyOpnB+SzVFYuUr3HTByqT5I6EIL57o586r2+Z1ncrSQDOalbzhRB6tUfPRnDjU7cdVJGxaYUXPlJe42JjB2fzcsT7C0RjXb2mez2UqSwQVCkrecCKP1qimMCcOdftZ31hBWbErPnbhqhpeOeNP6Wx+4ogXT4mLne1187lMZYmgQkHJG45Pob6ihKpSt2oKs+RQ94ST2WHbqhp6AyF6/KFJ48YYfnPYx9UbGil1u1CUmZK1UBCRNhG50T4uF5Gq/C1LWQo4mkJVmZvaimJttDMLhkbHOTM4llIoQHLF1GO+AGcGx7h+i+bzKLMjK6EgIh/ByjP4mj20GvjPfC1KWRo4PoWqsmLqPCVa6mIWHDrnOJknP4Od32o5m6cKhSdetzL+VSgosyVbTeFu4A2AH8AYcxRQL5aSEf9YhCKBihIXtZ4S1RRmgRN5dP4UTcFT4mZDU2VSuQsNRVXmSrZCIWSMif9Fi4ibFOUoFCWR4eA4VWXFiAh1nmLVFFJwun+UP/vhPobS/N8c6vbTUFFCU4peB9tW1UzSFJxQVNUSlLmQrVB4UkT+O1AuIm8Gfgw8lL9lKUuB4WCEqjIrFcYyH6mmMJV/euwIP3n5DN945kTK84e6hznPLm8xlQtX1eAbDsV7MWsoqpILshUKn8GqePoK8EdYmch/la9FKUsDf3Cc6jKr61etp5jhYIRINLbAq1o8dPaN8LN9ZyhxF/Gvz5yIR2s5RKIxjvQMxzOZp7LNrgDqmJA0FFXJBVkJBWNMzBjzdWPMO40x77CP1XykZMQ/RVMAGBxTE5LDvU8ew+0q4qt3XII/GOHfnuucdP5k3wihSCwp8sjh/JZqxHY2G2N44nUNRVXmTrbRRydE5PjUV74XpxQ2/jHLpwDE+wSrs9ni7OAYD+zp4l071/CmrSu4YUsT3/jtCUbDkfic1+z2m+mEQkXphLP5mC9A14CGoipzJ1vz0U7gMvv1RuDLwHfztShlaTAcjFBdbmkKtbamoM5mi/ueOo4x8EfXrQfgnl2b6B8J8+8vnIrPOdTtp9glGdtIOs5mDUVVckW25qO+hNcZY8yXgF15XptS4Awn+BTq4pqCCgXfcIjvv3iK2y9eFQ8dvbStjqs3NHDfU8cJjlvNiA51+9nQVEmJO/2f6QWt1fT4Qzywp0tDUZWckK356JKE1067/LVmNCtpicUMw6EI1VN8ChqBBPf/9jjj0Rgfu37DpPF7dm3EOxzix7utDrWHuv1J+QlTcTKbD58bVi1ByQnZls7+XwnHEeAk8Ps5X42yZBgJRzAG9SlMYXA0zHef6+Rt21tZP6WR/FXrG7i0rY57nzzOTRespMcfSutPcLhgVQ0iYAwaiqrkhKyEgjHmhnwvRFlaJNY9AqgsdeMukmXvU/jWMycZCUe5+4aNSedEhHt2beQD33qJLzx8CEjvZHaoLHWzrrGCc0NBDUVVckJWQkFESoG3A+2JnzHG/O00nzsJDANRIGKM2Tnl/PXAzwAnc+cn011TKQycmPvqcktDEJFlX+piODjOt545we9csIItK1NbX6/f3MSFq6r52T6rVfnUmkep+MDV7fiDEQ1FVXJCtuajnwFDwB4gNM3cqdxgjOnNcP5pY8zbZnhNZZEzVVMAy9k8MLJ8NYXvPn8KfzDCPTdsSjtHRLjnhk189Lt7aKoqpaEyubzFVP7gqvYcrlJZ7mQrFFYbY27O60qUJUVihVSH5V7q4sd7TnP1hoZ4JnI6bjp/BRe0VsfbmCrKfJJtnsKzIrJtFtc3wC9FZI+I3JVmzlUisl9EfiEiF6SaICJ3ichuEdnt8/lmsQxlvnH6M1cnaAo1nuJlG5JqjKF7MDitjwCgqEj40R9dxT+/66J5WJmPrGqtAAAgAElEQVSiTCZbTeEa4A9F5ASW+UgAY4zZPs3n3mCMOSsizcBjInLYGPNUwvm9QJsxJiAib8Xq0ZCkWxtj7gPuA9i5c6eW1ygAUmsKxew/vTw1hZFwlLHxKM0pqp2moqI02z9NRckt2f7mvWU2FzfGnLX/9YrIT4HLgacSzvsTjh8WkX8RkcZpfBBKAeBP6VMoYXBsHGNMyqqfSxnfsOWKS1UCW1EWE9lmNHcCa4Bd9vHodJ8VkQqnZaeIVAA3AQenzFkp9t1BRC63r9k3000oiw9/cJwSd9GkZvO1nhLCkRhjdsbucsJrl7duripb4JUoSmayDUn9G6z6R1uAbwHFWLWP3pDhYyuAn9r3fDfw78aYR+xsaIwx9wLvAD4mIhFgDHi3Vl9dGgwHI5P8CTBR6mJgdBxPyfIyj/gCqikohUG2f5m3Axdj+QCw/QQZA6iNMceBHSnG7004/grwlaxXqxQMVoOd4klj8aJ4I2FW1ZYvxLIWDDUfKYVCttFHYfsJ3kDcHKQoafGPjafVFJZjBJJ3OESxS6gtL55+sqIsINkKhR+JyNeAWhH5CPAr4Ov5W5ZS6Dj9mROpq1i+RfF8wyEaK0spKlpeDnal8Mi29tEX7d7Mfiy/wueMMY/ldWVKQTMcjLCierJTdTkXxfMOh7IOR1WUhSRbR/MngR+rIFCyJbE/s0Nt+fJttOMbDrGqViOPlMVPtuajauBREXlaRO4WkRX5XJRS+Awn9Gd2KHEXUVHiWrbmI3UyK4VAtnkKnzfGXADcDbQCT4rIr/K6MqVgGY/GGA1Hk3wKYEUgDS0zTSESjdE3EqJJcxSUAiBbTcHBC5zDSjDTjh5KSgJ2NrPTnzmRuoriZacp9I+EMUbDUZXCINt2nB8TkSeAx4FG4CNZ1D1SlikTZbOTNQWrUury0hS8To5CFmWwFWWhyTZ5rQ34hDFmXz4XoywN/PFieMm/XrWeEk73j873khYUJ3GtuVqFgrL4ydan8BmgUkQ+ACAiTSKyLq8rUwqWeNe1lJpC8bLTFHyqKSgFRLbmo78B/gL4rD3k1D5SlCRSdV1zqPWU4A+OE40tnxJXWvdIKSSydTTfDtwKjEC8JPb0zWOVZYl/LLOmYAwMjS0fbcHrD1Jd5p5UMVZRFita+0jJOcOZoo88y6/UhS+gOQpK4TCX2kf3529ZSiHjCIXKFN3DavJc6uKh/Wf5y5++kpdrzxavP6R9FJSCIVtH8xeBB4D/YKL20ZfzuTClcPEHx/GUuHC7kn+9HE0hX5VSH36lmx+8dJrxaCwv158NqikohUTWyWvGmMeMMZ8yxvw58GsRuSOP61LmmXAkxr7Tgzm51nCKukcOiY12phKLGX627wyhyOw7s3UNjBGNGc4Ojs36GrlGS1wohcR0LTWrReSzIvIVEblJLO4BjgO/P93FReSkiLwiIvtEZHeK8yIiXxaRDhE5ICKXzH4rylz46ctd3P4vz+TkZpqq7pFDbVxTSDYfPXnEx8d/sI9HX+2Z9c/uGrByIDr7FkcuRCAUYTQc1QqpSsEwXfLavwEDwHPAh4FPASXAbTNIZLvBGNOb5txbgE326wrgq/a/yjzT4Q1gjPVv6xy7ovmD42mFQnWZG1eRpHQ0P3bIEgYnfCOz+rmBUCSugXQukgQ57bimFBrTCYX1xphtACJyP9ALrDXGDOfo598GfMeObHpeRGpFpMUY052j6ytZ4jxZn+wb4Vqa5nSt4WCEeruhzlRErO5jU81Hxhget4VCZ9/shMKZgQkt59Qsr5Fr4tnM6mhWCoTpfArxv1xjTBQ4MUOBYIBfisgeEbkrxflVwOmE91322CRE5C4R2S0iu30+3wx+vJItp+wn6xO9c7+ZpurPnEitpzjJfHTwjJ8ef4gisQTTbHBMR0WyeMxH3uEgoJqCUjhMpynsEBG/fSxAuf1eAGOMqZ7m828wxpwVkWbgMRE5bIx5KuF8qt6ESamuxpj7gPsAdu7cuXxSYecJY0xcKJzMgVBI1Z85kTpPCQMjkzWFXx3qQQTefP4Kdp8cmNXP7bI1hW2ra+P7WWjUfKQUGhk1BWOMyxhTbb+qjDHuhOPpBIKT+Ywxxgv8FLh8ypQuYE3C+9XA2ZltQZkrvkCI0bAV8XNyjk/YxpgsNIWSJJ/C44d7uGRtHZesraNvJByvnzQTugZGKXUXcclaSyhYVsmFxTscothlmcwUpRCYaT+FrBGRChGpco6Bm4CDU6Y9CLzfjkK6EhhSf8L841QtPb+lmtP9o0TmEOMfisQIR2NpHc3gmI8mbvrdQ2McPOPnxq0raGuwkuU7e2cunLoGxlhdV057QwWj4Wi85tBC4hsO0VhZSlFRKqVYURYfeRMKwArgtyKyH3gR+C9jzCMi8lER+ag952Gs8NYO4OvAH+dxPUoaHPv7tZubiMQMZ+YQlhqvkJrhybjOU8zg2ISm8PghLwA3bm2mvdEDzM6vYAkFD2vrrWucWgR+Bd9wSMNRlYIi234KM8YYcxzYkWL83oRjg9XiU1lAOvtGEYE3bmrk3iePcaJ3JP7EPlPidY8yagolBMdjBMejlBW7ePxQD2vrPWxsrmRsPGqvaTZCYZTtq2tY2+CxrzHKzvb6Wewid3iHQ6yq1cgjpXDIp6agFAin+kdprSln04pKYG7OZqdCaibzUWJRvNFwhGeO9XHj1hWICJ4SNyuqS2fs23ByFFbXeVhdV47I4shV0GxmpdDIm6agFA6dfSOsrffQVFlKRYlrTs7mCU0hs/kIYGBknANdQ4QjMW7cOtHyu72hYsaagpOjsLqunFK3i9aa8gXPVYjGDP0jIZo0R0EpIFRTUDjVP0ZbgwcRob2xIqtchXRNcjL1Z3ZILHXx+KEeqsrcXLZuwszT3lAxY8Hk5CisrrOysdfWexZcU+gLhIgZDUdVCgsVCsuckVCE3kAobodvb6yY1sn7wvE+LvibR1L2Ws7Un9mhrsISGH0jYX592Mv1W5opTqio2tbowTccIhCKZL2PrrimYO2jrcGz4I5mr7bhVAoQFQrLHCfJy4nYaW/w0DUwlrH09JNHfATHYzx9NLmk1XBW0Ucl8ev0BsKTTEfWGuyw1BmYf5wchcZK69prGzz0jYRnJFhyTbzERbUKBaVwUKGwzHHCUdvqrRtxe0MF0ZhJqQU47O+ySmy/dLI/6dxwMEKRQEVJ+taTNbbAePiVblxFwvWbJwuFtoTooWxxchREZNJ+ZltHKRf4VFNQChAVCnliNBwpiD7Ezs3fMR+ta3RupqlvyLGY4cDpIQBePJEsFPxj41SWuuM351SUFbsoL3YxGo5yWXtdvBubgxMOO5NcBSdHYeIaC5+r4CTPqU9BKSRUKOSJv/nZq9z5zRcXehnT0tk/Qq2nOP703m4LhXTO5uO9IwyHIpzfUs2ZwbGk/gvDwUhG05GDE4F049YVSecqS900VZXOKKu5a2A07mSGCSG3kDWQvP4g1WVuyorTa02KsthQoZAn9p0e5GjP8KKov5OJzr7RuD8BoKGihKpSd9qn9P12d7aPXLsOSDYh+aepe+TgRCC9KYVQAMu3cSJLTSExR8GhuqyYOk/xgkYgaRtOpRBRoZAHxqMxTvSOMBKO4g8unKMzG071TxYK04Wl7u8apLLUzS3bWqksdSeZkDI12ElkZU0Zm1dUxs1VU2mbQa5CYo5CImsbKhbWfDQc0j4KSsGhQiEPdPaNErHj+BdTr+CpRKIxzgyMxe3vDpnCUvefHmTbqhpK3EVc0laXpCkMByMZE9cc/u72C/nGnZelPd/e4KHHH2I0PL1QnZqj4NBW76Gzf+EczV7NZlYKEBUKeaDDO9GHqHto8QqF7qEgkZiJR+o4rGvwcGZgjHBkclhqcDzKa91+dqypBeCKdfUc6QkwMDJR3G44mLmXgkNLTTlr6j1pzzvO5mx8AlNzFCau4eHsYDBjeG0+0RIXSiGiQiEPHO0JxI/PDgYXcCWZcSKM1qbQFGIm+YZ8qNvPeNRw0ZoaAC6zi80lagv+sezMR9PhmJVOZuFsPt0/OUfBYW29h2jMTGrTOV8EQhFGw1GtkKoUHCoU8sBRb4DWmjJcRbKoNQXHtLK2fuoTduoYf8fJ7GgK21fXUOIqiguFWMwQCGUXfTQdjqDKJix1ao5C/Br2vhbC2awd15RCRQvi5YGj3gBbVlYB0L2INYVTfaOUuItYWT3ZGbouTVjq/q4hVlSX0lJj2e7Lil3sWFPDi3b7zJFwhJjJXOIiW6rLimmoKMnK2dw1OJpkOoIEE1TfCNA05zXNhHg2szqalQIj75qCiLhE5GUR+XmKc38oIj4R2We/Ppzv9eSbaMxwzBdgY3MlLbXlnF3MmkLfKGvqypO6gtV5iqkuSw5L3X96kB2rayeNXdZez6tnhhgNR7IqhjcT2ho8WZmPHE1hKs1VpZS6i2aUGZ0rvMPWw4BqCkqhMR/mo48DhzKc/6Ex5iL7df88rCevdA2MEo7E2NRcRUtNGd1Di1hT6B9N2UxHRFjXWDHphjw0Os7x3pG46cjhsnX1RGKGl08NZlU2eyZkU0J7ODjO4JQcBYeiIslYLTUUic6py1wm1HykFCp5FQoishq4BSj4m322OE7mjSsqaa0tp3souCgT2IwxSTkKiUzNVXDqHV00RShc2laHiFXyIpsKqTOhraGCs0NBgnY3tlQ4N/VUmoJ1jfTVUv/nzw9x0z89mZeieb7hEMUuoTYH/hVFmU/yrSl8Cfg0kCkm8O0ickBEHhCRNXleT9456rWFQnMlLTVlhCMx+hJCNhcL/XYF0bRCoaGCs0Nj8Ruy42Tetrpm0rzqsmK2rqzmpZP98QqpuRIKTr/mTGGpXf2ZhcLa+gpO9Y8mCWbvcJAf7j7NSDjKbw57c7LeydcP0VhZmmSaU5TFTt6Egoi8DfAaY/ZkmPYQ0G6M2Q78Cvh2mmvdJSK7RWS3z+fLw2pzx1HvMCury6guK447ZBejs9kxqUxNXHNY11iBMRMF8/Z3DbKhqSKlaejydfXsPTVAX8ASfrmIPoKJEtqZ2oNOJK6l3kdbg4ex8WjcnOPwr8+cZDwao6rMzSOvnpv1GgdGwinzIKxsZjUdKYVHPjWFNwC3ishJ4AfALhH5buIEY0yfMcb5a/06cGmqCxlj7jPG7DTG7Gxqmt8okpnS4Q3Eex232g3bF6Oz+fQ0QsEpjHeyz3rK3nd6KMmf4HD5unqC4zGeO94H5FBTaMhcsRUsJ3NZcXKOgoMT2proVwiEIvzb853cfMFKfndHK7857M1ookqHMYa3fvlp7vj6C0mf18Q1pVDJm1AwxnzWGLPaGNMOvBv4tTHmfYlzRKQl4e2tZHZIL3qMMXR4A2xocoSCoylkFgrffb6TP/5eJoUq9zg32nRP2O1OnkDvCGeHgvQGQlycRig4SWxPvG5pcblyNNd4iqn1FGfMVXBKZqcr1d1Wn9yb4fsvnGI4GOGj123g5gtWMhqO8tSRmWugJ3pH6B4K8uLJfu7+3t5JGoOWuFAKlXlPXhORvxWRW+23fyoir4rIfuBPgT+c7/XkkrNDQUbD0bim0FBRQom7aNoIpF++1sMvX+1J2/c4H3T2jbKyuixtWedaTwm1nmJO9I0kJa1NpamqlHWNFfSPhClxFVHqzt2vlVUYL4OmMDia1p8AltArEidXAcKRGN/47QmuWt/AjjW1XLWhgZry4lmZkPZ0WvkZH3hDO48f9vLpBw4QixmiMUP/SIgmzVFQCpB5SV4zxjwBPGEffy5h/LPAZ+djDfPB0R6r5tGmZitxTURoqSnj7DRCoaNnmEjM0BsIsaJ6fm4kp/pHkspbTKW9oYKTvSNUlropcRVx3srqtHMva6/jRO8IVWWZG+zMlHUNHl6yk+NS0TUwlhQRlUiJu4iWmvK4+ehn+85wzh/k79++DYBiVxE3bl3BY6+dIxyJUTIDgbb31ADVZW7++pbzqfeU8L8eO0JNeTF/fP0GYkbDUZXCRMtc5JAOO/JoU3NlfKylpiyj+WgkFIkLjfmsqNrZNxo3raTDylUYYd/pQc5vrc54w3RMSLnyJzi02VFQoUiyzT9TjsLka3g41T9KLGb42lPH2dpSzXWbJ3xTN1+4En8wEveJZMuezgEuaaujqEi4Z9dGPviGdfzrsyf5/EOvAdqGUylMVCjkkKM9ARorS6irmHB6ttaUZzQfHfNNFM+br0S3sXAU73AorZPZod3OEzjQNZjxaRwsZzPkLvIovoZGjx0FlSwwp8tRcHByFR4/7KXDG+Cj162fpM28cVMjFSUuHjmYvQlpaGycIz0BLl1bB1ha4V/dspX/dvEq/uuVbgCaq1UoKIWHCoUcctQ7zMYELQGgpbaMc/5gWn+Bo13A/GkKp+0wzkylq2EiTyA4HmPHmpqMc9fWe2iuKs2Zk9khXXE+SMxRyLyPtfUV9I2E+efHjrCqtpxbtrVMOl9W7OKG85p57LVzWft1Xj5lmbQubauLjxUVCf/wju3cuLUZsB4IFKXQUKGQI5zIoyShUFNONGaS4uQdOrwB3EVCqbuIc/OkKTiO21QlLhJJ7Ip20Zq6DDOtJ+X/979t455dG+e+wATiuQopnM3pmutMxdGIXuv285E3rsPtSv61v/nClfQGwklNg9Kxt3OAIkl2vhe7iviXOy7loXuuYWWNOpqVwkOrpOYI33AIfzASdzI7OLkKZwbHUt4kOrwB2ho8xMz8mY+cp+7pfAqO0Kguc8dDVDORrt/yXKjzFFNV5k6ZwObkKDRUpM5RcHCytus8xfz+ZamT5m/Y0kypu4hHDp7jyvUN065rz6kBtrZUU1Ga/CdU4i5KyvxWlEJBNYUccTSFkxmYyGpOk8DW4VRUrSmbtyS3U/2jVJW5qfVkNvXUlFvlq3esqc1pRNFMcIrzHe8NJJ2bLkfBob2xgvJiFx+6Zh2ektTPQRWlbq7d3MSjr54jNo0JKRKNse/U4CTTkaIsFVQo5AgnHHXjislCoTVDqYtwJEZn36gtFMrnrRyGUwgvmxv93799O5/6nS3zsKr0bF9dwzMdfbznvud57lhfvI7RdDkKDpWlbp769A388fWZTVs3X7CS7qFgvPhfOl7vGWYkHFWhoCxJ1HyUI456A9SUFyeFIVaXu/GUuFJqAZ19I0Rjho3NlQiCdzhIJBpLafPOJaf6RjmvpWr6icCbz8+9SWim/NUt59PeUMHXnjrOe77+PJe11/EnuzZNm6OQSDY5AzduXYG7SHjk1XNcvDb9DX+vnbR2SYY5ilKoqKaQIzq8ATY1VyY9fTsJbKm0ACfyaGNTFS21ZcSMVR4hn4yFo3T2j8ZLcRQCZcUuPvzG9Tz96Rv4/K0X0DUwxvu/+WJWOQozocZTzNUbG3nk4LmM5c73dA7QXFWalZaiKIWGCoUckSryyMHqq5CsKThCYUNzxYSZKc9+hVfODBGNmayfsBcTZcUu7ry6nSc+dT1fuH0bl7XXce2m3BZIvPmClXT2jXL43HDaOXtODdh9JLQstrL0UKGQA/oCIfpGwmmFQrpSFx2+AKtqy/GUuGlxKqrm2a/gxNcXolBwKHW7eO8Va/nxR6/m/Nb0pTdmw00XrKBI4D/2dKU87x0Ocrp/TP0JypJFhUIOiJe3WJHaTt9SU05vIEQ4Mrnufoc3wAZbkEwXpZQr9p0eZG29hwYtwZCSxspSfu/iVfzb850pv4u9nZYT+hIVCsoSRYVCDkgXjurQWluGMdDjn9ACYjHDMV+AjbZtv7rMTUWJa9pchV8f7uG9X3+ebz1zgr7AzP0P+05PX7JiufPJGzdjDHz58aNJ5/aeGqDEVcQFOdZQFGWxoEIhB3R4A1SUuGhJk8HqaAGJZSzODI4RHI/FTU4iwso0DulEfr6/m+eO9/H5h17jii88zof+9SX+60B3Vk1izg0F6R4KqlCYhjX1Hu64ci0/2t01qTYVWE7mbatrKHWnLjmuKIWOCoUc4DiZ0zkenazmRC2gwzfRy3liXmqHdCJHvQGu2djIo5+4lg+9cR0Hzw5x97/v5bK/+xVPH83cKGbfacufcPFaFQrTcfcNGylzF/HFR1+Pj4UiUV7pGlJ/grKkUaGQA6xCeOnj/uOaQsIN/5g3WShM13vBMTltaq5iy8oqPvuWrTz7mTfx3Q9dQUWJm2/+9kTGdb58epASV1HOnbNLkcbKUj5y7Xp+cfBcvMnQwTN+wtGY5icoS5q8CwURcYnIyyLy8xTnSkXkhyLSISIviEh7vteTa4bGxunxh+Ld1lJRUeqmusw9yTTU4Q1QX1FCfULdnnQOaYezQ2OMhqOTBImrSLhmUyM3X7iSZ4/1MRZOb0Z6+dQgW1ur1fSRJR9+43oaKkr4h0cOY4yZSFprU01LWbrMh6bwcdL3Xv4QMGCM2Qj8M/AP87CenLLPforcsjJzhvBU01CHd8LJPDEn2SGdyESUU7IA2nVeM6FIjGeP9ab8bCQa45WuobR9lpVkKkvd3LNrI88e6+O3Hb3s6RywS4Rr9VNl6ZJXoSAiq4FbgPvTTLkN+LZ9/ADwJimwjKCH9p+lqtTNVdNU1mypKYvnIBhj6PBNhKM6rIyHpWYWClOFCcAV6+vxlLj49WFvys8e6QkwNh5Vf8IMee8Va1ldV84/PHI4nrSmKEuZfGsKXwI+DaS2h8Aq4DSAMSYCDAFJd1cRuUtEdovIbp8vszN1PgmOR3n04Dl+58KVlBVnNsm0JGgKfSNhBkfHk5LdWmsch3RqZ3Oqzm4OpW4X12xs5DeHvSlLNLzsOJmn6YugTKbU7eLP3ryZg2f8+IZDmp+gLHnyJhRE5G2A1xizJ9O0FGNJdzRjzH3GmJ3GmJ1NTbktazAXnnjdy3Aowq07Wqed21pTxsDoOGPh6MQTf1KXNid0NY2m4AtkrFm067xmzg4FU5Zo2HdqkPqKEtbUa72emXLbRas4zzYPXqpOZmWJk09N4Q3ArSJyEvgBsEtEvjtlThewBkBE3EANkF3rq0XAg/vP0lhZwtUbpm/K0lo7EYGUTihUlrqpKnNzLoWmYIzhaM9wRof2DedZbSBTmZBetpPWCsw6tyhwFQl/d/s23nHp6ml9R4pS6ORNKBhjPmuMWW2MaQfeDfzaGPO+KdMeBO60j99hz8muSe4CMxwc5/FDXm7Z1pJVqeuWhL4KHd4AnhJX3FyUSGtNecqwVF/A6uyWyp/gsKK6jAtXVfObKULBHxznmC+gTuY5cGlbHV985w5cRSpUlaXNvOcpiMjfisit9ttvAA0i0gH8GfCZ+V7PbHnstR5CkRi3XjS96QgmEtjODo1xzDYDpXpqX1lTlrqiak/m+koOu7Y0s/fUAAMj4fjYgdNDGAMXqZNZUZRpmBehYIx5whjzNvv4c8aYB+3joDHmncaYjcaYy40xx+djPbngwf1nWVVbnnUik9Of2dEUMtVJStl7wZe5vpLDrq0riBl48siEQ96pjLp9tQoFRVEyoxnNs6AvEOLpo7387o7WrG30pW4XjZUldPgCdA8Fk8JRHVpqyukbCSfVMjraE6CqzD1tB7Htq2porCyZ5FfYd3qQjc2V1JRn7smsKIqiQmEWPHzwHNGYySrqKJGWmnKe6bCSyzL1XoDkBLaj3uGUnd2mUlQkXLe5mSde9xKJxjDGaGVURVGyRoXCLHho31k2NVeyNcs+xw4tNWX027b+TF3aIDkstcM7kvYzU3nT1mb8wQh7Tw1yun+MvpGwCgVFUbJi2QuFaMwQi2Uf8HR2cIwXT/Zz6wxMRw7ODb/YJbTVp+4tvDJFAtvgaJjeQIhNGYruJXLNpkbcRcKvD3snktbUyawoSha4F3oBC4kxhnd97TlW1pTxlfdektVnfn7gLAC/O0PTEUyYhtobKtKGsbamKHWRLq8hHdVlxVzWXs+vD/cQikQpL3axZZqoJUVRFFjmmsKvDnnZ3TnAf73SzfEpzVTS8eD+s+xYXUN7Y8WMf56TsZzp5l5e4qLWUzxJUzg6Q6EAVnbzkZ4Av3y1h22rarLKpVAURVm2dwpjDF/61RFW1ZZTXFTEN5/J3IsA4JgvwMEz/llpCTBR22i6m3tLTXlSme3yYherarMvUbFrq5XdfGZwTE1HiqJkzbIVCr98rYdXz/r5szdv5vcubuWBPV2TEr5S8eC+s4jMznQEsKHJCgu9cpqKqq1Tmu0c9QbY0FxB0Qyyadc3VtDWYPkt1MmsKEq2LEuhEIsZvvSro6xrrOC2i1r58BvXExyP8b0XOtN+pn8kzHeeO8k1GxtZUT27evp1FSXs/5ubeMPGxozzpmY1H0vRe2E6RIRddi0kzWRWFCVblqVQ+OVr5zjU7edPdm3E7Spi84oqrt3cxLef6yQUSd257H/+12sMByP81S3n5319rbXlDNoVVQOhCGcGx6Ytb5GKu2/YyFfvuCRed0lRFGU6lp1QcLSE9Y0Vk5LPPnzNOnzDIR7a3530mWc6evnJ3jN89LoN81IlsyUhLNXp5ZypZHY6GitLecu2lpyuTVGUpc2yEwqPvHqOw+eG+dM3bZoUkfPGTY1sWVHF/U8fn9SkJjge5b//9BXaGzzcs2vjvKyxJSEsNVMLTkVRlFyzrIRCLGb43786yoamiiRnsYjwoTeu4/C5YZ7p6IuPf/nxo3T2jfKF27dN210tV8Qrqg6OcdQbyJjspiiKkkuWlVB4+GA3r/dYWkKquvi3XdRKY2Up9//WKtZ6+Jyf+546ztsvWc3V0ziHc4njyHY0hXWN6ZPdFEVRcsmyudNEbS1hY3Mlb9ueOqS01O3izqvaeOJ1H4fP+fnMf7xCdXkxf3nL1nlda1mxi4aKElsoDM8oaU1RFGUuLBuh8PAr3Rz1Bvh4Gi3B4Y4r2ygrLuJD/7qbfacH+atbtlJfUTKPK7VoqS2js2+EU/2jbMyy5pGiKMpcyZtQEJEyEXlRRPaLyKsi8k5ogykAAAozSURBVPkUc/5QRHwiss9+fThf67lyfQOf+p0tvHWaaJz6ihLefslqzgyOcc3GRm6/eFW+lpSRlppydncOEDPTN9ZRFEXJFfksiBcCdhljAiJSDPxWRH5hjHl+yrwfGmPuyeM6AGiqKuXuG7KLHvrY9RsYGA3zmZu3Llij+9aaMsKRGDCzmkeKoihzIW9CwVhxnU6VuWL7lX2N6gVkdZ2Hf7nj0gVdg1M8r0hg3SyK7ymKosyGvPoURMQlIvsAL/CYMeaFFNPeLiIHROQBEVmT5jp3ichuEdnt8/lSTVlyOAlsa+s98xYKqyiKklehYIyJGmMuAlYDl4vIhVOmPAS0G2O2A78Cvp3mOvcZY3YaY3Y2NTXlc8mLBieBTZ3MiqLMJ/MSfWSMGQSeAG6eMt5njAnZb78OLKzNZhHRkmWZbUVRlFySz+ijJhGptY/LgRuBw1PmJIYC3Qocytd6Co3W2nLee8XaSfWZFEVR8k0+o49agG+LiAtL+PzIGPNzEflbYLcx5kHgT0XkViAC9AN/mMf1FBSuIuELt29b6GUoirLMkMTib4XAzp07ze7duxd6GYqiKAWFiOwxxuycbt6yyWhWFEVRpkeFgqIoihJHhYKiKIoSR4WCoiiKEkeFgqIoihJHhYKiKIoSR4WCoiiKEqfg8hRExAd0zvLjjUBvDpez2FjK+9O9FS5LeX+FtLc2Y8y0xeMKTijMBRHZnU3yRqGylPeneytclvL+luLe1HykKIqixFGhoCiKosRZbkLhvoVeQJ5ZyvvTvRUuS3l/S25vy8qnoCiKomRmuWkKiqIoSgZUKCiKoihxCl4oiMg3RcQrIgcTxnaIyHMi8oqIPCQi1QnnttvnXrXPl9njl9rvO0TkyyIiC7GfRGayNxG5Q0T2JbxiInKRfW7R7Q1mvL9iEfm2PX5IRD6b8JmbReR1e3+fWYi9TGWGeysRkW/Z4/tF5PqEzyy6705E1ojIb+zv4VUR+bg9Xi8ij4nIUfvfOntc7LV3iMgBEbkk4Vp32vOPisidC7WnhPXMdG/n2d9pSET+fMq1Ft3vZVYYYwr6BVwLXAIcTBh7CbjOPv4g8D/sYzdwANhhv28AXPbxi8BVgAC/AN5SSHub8rltwPGE94tub7P47t4L/MA+9gAngXbABRwD1gMlwH7g/ALb293At+zjZmAPULRYvzusroqX2MdVwBHgfOAfgc/Y458B/sE+fqu9dgGuBF6wx+uB4/a/dfZxXYHtrRm4DPg74M8TrrMofy+zeRW8pmCMeQqrlWciW4Cn7OPHgLfbxzcBB4wx++3P9hljomL1iq42xjxnrG/0O8Dv5X/1mZnh3hJ5D/B9iPfBXnR7gxnvzwAVIuIGyoEw4AcuBzqMMceNMWHgB8Bt+V77dMxwb+cDj9uf8wKDwM7F+t0ZY7qNMXvt42Gs3uqrsP7fv21P+zYTa70N+I6xeB6otff2O8Bjxph+Y8wA1v/JzfO4lSRmujdjjNcY8xIwPuVSi/L3MhsKXiik4SBwq338TmCNfbwZMCLyqIjsFZFP2+OrgK6Ez3fZY4uRdHtL5F3YQoHC2huk398DwAjQDZwCvmiM6cfay+mEzy/m/aXb237gNhFxi8g64FL73KL/7kSkHbgYeAFYYYzpBuvmivUUDem/o0X93WW5t3Qs6r1lYqkKhQ8Cd4vIHiwVMGyPu4FrgDvsf28XkTdhqbVTWayxuun2BoCIXAGMGmMcW3Yh7Q3S7+9yIAq0AuuA/0dE1lNY+0u3t29i3TR2A18CngUiLPK9iUgl8B/AJ4wx/kxTU4yZDOMLzgz2lvYSKcYWxd6mw73QC8gHxpjDWKYiRGQzcIt9qgt40hjTa597GMvu+11gdcIlVgNn523BMyDD3hzezYSWANaeC2JvkHF/7wUeMcaMA14ReQbYifU0lqgtLdr9pdubMSYCfNKZJyLPAkeBARbpdycixVg3ze8ZY35iD/eISIsxpts2D3nt8S5Sf0ddwPVTxp/I57qzYYZ7S0e6PS96lqSmICLN9r9FwF8B99qnHgW2i4jHtk1fB7xmq4PDInKlHd3xfuBnC7D0acmwN2fsnVj2SyCu6hbE3iDj/k4Bu+xIlgosh+VhLOftJhFZJyIlWELxwflf+fSk25v9+1hhH78ZiBhjFu3vpb2WbwCHjDH/lHDqQcCJILqTibU+CLzf/u6uBIbsvT0K3CQidXY0z0322IIxi72lo2B+L5NYaE/3XF9YT8XdWI6eLuBDwMexogaOAH+Pnbltz38f8CqWffcfE8Z32mPHgK8kfqaA9nY98HyK6yy6vc10f0Al8GP7u3sN+FTCdd5qzz8G/OVC72sWe2sHXsdyav4Kq8Txov3usEyvBiuSb5/9eitWNN/jWFrO40C9PV+A/2vv4RVgZ8K1Pgh02K8PFODeVtrfrx8rQKALKzhgUf5eZvPSMheKoihKnCVpPlIURVFmhwoFRVEUJY4KBUVRFCWOCgVFURQljgoFRVEUJY4KBUVRFCWOCgVlWSIiT4jIzoVeh6IsNlQoKEsWO4N2WfyOi4hrodegLA2WxR+MsnwQkXa7Qcq/AHuBP7CboOwVkR/bhc6mfuamVHNE5HMi8pKIHBSR++wSCIjIn4rIa2I1jPmBPVYhVmOdl0TkZRFJWyZZRJ4WuwGS/f4ZsZo/pbyGvaen7fXtFZGr7fHrxWoI8+9YmcKKMncWOqVaX/rK5QurZEQMqzZSI1b/ggr73F8An7OPn8AqIZFpTn3Cdf8N+F37+CxQah/X2v9+AXifM4ZV3qAizRrvBL5kH28Gdme6BlZToTJ7fFPC/OuxyomvW+j/d30tndeSrJKqLHs6jTHPy//f3h27NhVFcRz//gRFpOBesJNIoYO4CUKhi12KIErBQes/4KiLFAQnJ0FKFgs6KB26BBw7dJIWiwhpO3TqUFBEBxelSz0O5+ZZYkzeYGwJv88S8nK47ybDO7n3wjnSDNnA5m35k38KWOuIvdwjZqr03DhDdgfbBt6QdXFeS2oCzRJ7Fbim3y0ZTwNjZD2jTsvAvKT7ZO2fl33G+AgslNXFAZlI2t5FxG6dH8WsDicFG0bfy6vIzl63esR2jVH27m6Qxdv2JD0iH9KQJa8nyYY585Imyjg3ImKn3+Qi4oekFbIT1yy5YmnP5Y8xyr0/AxfJLd/9Lt/V7J/wmYINs3XgiqTzUJWovlAzpp0AvpYzhpvl8xPAuYhYBR6Q2zwjZMnne4fOHS71mdsi8AzYiOwgR48xzgKfIuIncJvs/2s2EE4KNrQi4gtwF1iS1CITwHidmIj4BjwnD3CbZH18yAfyK0mbwAfgaYl9DJwEWpK2yvtec3tPllt+cejy38ZoAHOS1smtI68ObGBcOtvsCEgaJQ+7x8sKwOxY8ErB7D+TdIdsBv/QCcGOG68UzAZE0jTwpOPybkRcP4r5mNXhpGBmZhVvH5mZWcVJwczMKk4KZmZWcVIwM7PKL2B37iTTm08gAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23eb77a3588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "years_data['revenue'].plot()\n",
    "plt.ylabel('Revenue');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23eb438db38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "years_data['revenue'].hist()\n",
    "plt.xlabel(\"Revenue\")\n",
    "plt.ylabel(\"Frequency\")\n",
    "plt.title(\"Revenue of movies over the time\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count         56.000000\n",
       "mean    53746908.783461\n",
       "std     12647350.408113\n",
       "min     34358015.754400\n",
       "25%     42499050.058302\n",
       "50%     53070665.178745\n",
       "75%     65339138.993231\n",
       "max     74422152.605131\n",
       "Name: revenue, dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('float_format', '{:f}'.format)\n",
    "years_data['revenue'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">#### Observations\n",
    "<ul>\n",
    "    <li>The observations that can be inferred are the revenue from movies acquired over the years is mostly concentrated between<br> <b>4.5 billion to 7 billion dollars</b></li>\n",
    "    <li>The distribution is left skewed.</li>\n",
    "    <li>It can also be observed that the revenue is increased considerably after 1990.</li>\n",
    "</ul>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='req2'></a>\n",
    "### Research Question 2 \n",
    "\n",
    ">### What are some important factors that are effecting the revenue of movies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='director'></a>\n",
    "#### How top directors are influencing revenue and who is best?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23eb4371048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Getting the directors name who has most movies in their name\n",
    "dir_5 = tmdb_data['director'].value_counts().sort_values().index[-5:]\n",
    "\n",
    "# collecting all the movies that are directed by these directors\n",
    "director_analysis = tmdb_data.loc[(tmdb_data.director.isin(dir_5))]\n",
    "\n",
    "# Box Plot\n",
    "bx_plt = sns.boxplot(x='director',y='revenue_adj',data=director_analysis)\n",
    "bx_plt.set_xticklabels(bx_plt.get_xticklabels(), rotation=90)\n",
    "bx_plt.set_title(\"Revenues of movies directed by these directors\")\n",
    "bx_plt.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23eb7e6a748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# To see and analyze other variables\n",
    "d = director_analysis.groupby('director').mean()\n",
    "d['popularity'].plot(kind='bar', title='Popularity of movies of these directors')\n",
    "plt.ylabel(\"mean popularity\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">### Observation\n",
    ">><ul><li>Steven Spielberg is wearing the crown being  a director to create movies with most revenue than any director</li><li>Ridley Scott is second best director, concering revenue</li><li>It can be observed that the movies of Steven Spielberg and Ridley Scott are ecpected to have high revenue</li><li>Interesting to observe that the popularity for Ridley Scott is more that that of Steven Spielberg movies</li></ul>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='genre'></a>\n",
    "#### How genre is influencing revenue and which genre is best?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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82WCHAhdH5nZgU0nj6hmXmZn1b8iuMUiaALwb+EPZV+OBx4rKS3hj8kDSsZK6JHUtXbq0XmGambW8IUkMkjYCrgb+ISJeKP+6j1HiDT0iLoiISRExaezYsfUI08zMGILEIKmNLClcGhG/6mOQJcA2ReWtgcfrHZeZmfWt3nclCfgp8GBEfLefwWYCX0x3J70feD4inqhnXLXgJhzNbDAacV9R7xrDB4AvAB+SdE/6HCzpeEnHp2GuBR4BFgM/Br5S55hqwk04mtlgNOK+QoUWpxrJpEmToqurK7f59/T0cMQRR/Daa68xatQorrjiCr9J08zeYLjtKyQtiIhJaxvOTz5XwU04mtlgNOq+womhCm7C0cwGo1H3FU4MVXATjmY2GI26r3BiqIKbcDSzwWjUfYUTQxXchKOZDUaj7ivcgluV3ISjmQ1GI+4rfLuqmVmL8O2qZmZWlbWeSpJ0akR8W9I03vhyuwCeAX4eEQ/XI0AzMxtag7nG8GD629+5m82BXwG71SQiMzPL1VoTQ0TMSn/7fWRP0ku1DMrMzPIzmFNJs+ijfYSCiPh4REyvaVRmZpabwZxK+k76exiwJfDzVD4S6K5DTGZmlqPBnEq6BUDSv0fEfkVfzZI0v26RmZlZLiq5XXWspO0LBUlvBdzGpplZk6nkyed/BG6W9EgqTwCOq3lEZmaWq0Enhoi4TtKOwNtTrz9GxKv1CcvMzPJS6buSdgTeBmwA7CaJiLi49mGZmVleBp0YJH0DOADYmayd5g7gd4ATg5lZE6nk4vPhwIeBJyPiS2RPOo+qS1RmZpabShLDiohYDbwuaRPgaWD7tYxjLaCnp4cTTzyRZcuW5R2KmdVAJYmhS9KmwI+BBcBdwB11icoayowZM1i0aFHDNHRuZgMbdGKIiK9ExHMRcT4wGehMp5QAkLRLPQK04a2np4fZs2cTEcyePdu1BrMmUFV7DBHRHRGLynpfUoN4rMHMmDGDQmNPq1evdq3BrAnUsqEe1XBa1iDmzp3LypUrAVi5ciVz5szJOSIzW1e1TAyN10aorbPJkyfT1tYGQFtbG1OmTMk5IjNbV3Vt2lPShZKelnRfP98fIOl5Sfekzxn1jMdqr7OzEymrLI4YMaKhGjw3s77VMjG81ke/i4CD1jLerRGxe/qcXcN4bAi0t7fT0dGBJDo6Oth8883zDsnM1tGgE4Myny8c1UvaVtIehe8j4v3l40TEfLI2oa2JdXZ2suuuu7q2YNYkKqkx/BDYi6yBHoAXgR/UIIa9JC2UNHugW14lHSupS1LX0qVLazBbq5X29namTZvm2oJZk6gkMewZEV8FXgGIiGeB9ddx/ncB20XEbsA04Jr+BoyICyJiUkRMGjvWzUAMJ37y2ay5VJIYVkoaSbr7SNJYYPW6zDwiXoiI5an7WqBNUvu6TNOGnp98NmsulSSGqcCvgbdI+ibZm1X/Y11mLmlLpVta0vWKEYAPOxuIn3w2az6VvBLjUuBU4FvAE8AnIuKqgcaRdDnwe+BtkpZIOkbS8ZKOT4McDtwnaSFZ4jkiCo/RDnMPPfQQHR0dLF68OO9QcjVjxgxWr84qjqtWrXKtwawJaLD7YUnb9tU/Iv5a04gGYdKkSdHV1TXUsy3xxS9+ke7ubiZMmMDFF7dukxQHHXQQL7/88prymDFjuO6663KMyMz6I2lBRExa23CVnEr6LfCb9PdG4BFgdnXhNbaHHnqI7u5uALq7u1u61rDvvvuWlPfbb7+cIjGzWqnkVNK7ImLX9HdHYA+y6wwt55xzzikpn322n8szs+ZR9ZPPEXEX8L4axtIwCrWF/sqt5NZbby0pz58/P6dIzKxWKmnz+ZSi4gjgPUBLPmk2YcKEkmQwYcKE3GLJ2+TJk5k5cyYRgSS/RM+sCVRSY9i46DOK7FrDofUIarg7/fTTS8pnnNG67/475JBD1rTHEBF8/OMfzzkiM1tXg64xRMRZ9Qykkey0005svfXWLFmyhK233pqJEyfmHVJuZs2ahaQ1NYaZM2dyyimnrH1EMxu2KnmJ3k6SLpA0R9JNhU89gxvOCslgxx13zDmSfM2dO7ekxtDqDfX49SDWDCo5lXQVcDdwOvBPRZ+W09PTw2233QbAbbfd1tI7Ad+uWsqvB7FmUElieD0ifhQRd0TEgsKnbpENY27n2Pri14NYs6gkMcyS9BVJ4yRtVvjULbJhzO0c9yq/PfWWW27JKZL8+YDBmkUliaGT7NTRbcCC9Mn3vRQ5cTvHvbbYYosBy63EBwzWLCp58vmtfXy2r2dww5XbOe711FNPDVhuJT5gsGZRyV1JYySdLumCVN5R0sfqF9rw5XaOe5VfbN5///1ziiR/PmCwZlHJqaSfAa8Be6fyEuCc/gdvbm7nOPPqq68OWG4lPmCwZjHoB9yAHSLis5KOBIiIFYVGdlpRoZ3jVud3JZXq7Oyku7u75Q8YrLFVUmN4TdJoepv23AFo2cNDP8iUKT82aOFjBaD3gMG1BWtklSSGM4HrgG0kXUrWJsOp9QiqEUyfPp2FCxcyffr0vEPJ1T777FNSLn/grdX4gMGaQSV3Jc0BDgOOAi4HJkXEzfUJa3jr6elh7ty5AMyZM6eldwKjRo0asNxq/OSzNYNK7kqaCUwBbo6I30RET/3CGt6mT5++pp3j1atXt3StwQ+49fKTz9YsKjmV9N/AvsADkq6SdLikDeoU17B2ww03lJQLtYdW5AfcevnJZ2sWlZxKuiUivgJsD1wAfAZ4ul6BDWe+4NrLD7j18pPP1iwqatoz3ZX0KeB4smY9W/KQyBdce5U/3fuRj3wkp0jy5yefrVlUco3hF8CDwIeAH5A913BivQIbznzBtdchhxxSUm7lFtz85LM1i0qffN4hIo6PiJsiYnW9ghrufMG1189//vOS8iWXXJJTJPnzk8/WLCpJDPOB0/yuJF9wLXbzzTeXlOfNm5dPIMPEIYccwpgxY1q65mSNz+9KqsKTTz45YNla16xZs3j55ZeZOXNm3qHkyg/6NbZKEsMOEfFtYCVk70oCBrwdR9KFkp6WdF8/30vSVEmLJS2S9J4K4snNlltuOWC5lWy11VYDlluJn2Po5Qf9Glu935V0EXDQAN93ADumz7HAjyqIJze+RbPXuHHjSsrjx4/PKZL8+TmGjBNk4xtUYkhvUT2fCt+VFBHzgWcGGORQ4OLI3A5sKmncAMMPC1OmTFlz94mklr5Fc8GC0ma/77zzzpwiyZ+fY8g4QTa+QSWGyP7LJ1P7dyWNBx4rKi9J/d5A0rGSuiR1LV26dB1nu246OztZb73sjeVtbW2+LdEAP8dQ4ATZ+Co5lXQ7sH1E/LaG70rq6xpF9DVgRFwQEZMiYtLYsWNrMOvqtbe3c/DBByOJgw8+2LclGuDnGAqcIBtfJYnhg8DvJT2cLhTfK2nROs5/CbBNUXlr4PF1nOaQcAtuVs7PMWScIBtfJS24ddRh/jOBEyRdAewJPB8RT9RhPmZDwi249SbImTNntnSCbGSDTgwR8ZdKJy7pcuAAoF3SEuAbQFua3vnAtcDBwGLgZeBLlc4jL8W3451yyil5h2PDhJt8zThBNrZKagwVi4gj1/J9AF+tZwz1UH47XmdnZ8seFUlacwdKoWzmBNnYKnq7qmV8O16v4qTQV7nV+IlfawZODFXw7XjWHz/xa83AiaEKkydPZuTIkQCMHDnSt+MZ4Cd+rXk4MVShs7OTVatWAbBq1SpfYDPApxiteTgxVOGZZ0rf8vHss8/mFEn+xowZM2C5lfgUYy9fa2lsTgxVOOuss0rK3/jGN3KKJH+vvPLKgOVW4id+e02dOpWFCxcyderUvEOxKjgxVOGxxx4bsGytqbOzs+SurFY9xdjT07OmAad58+a51tCAnBhsnbj9617t7e1ssMEGQLYeWvXZlvJagmsNjceJwdbJihUrBiy3koceeojly5cDsHz5chYvXpxzRPkobwO9vPlXG/6cGKpQuFW1v7K1pnPOKW3p9uyzz84pknz5ocfG58RQhT322KOkvOeee+YUiQ0n3d3dA5ZbxYYbbjhg2YY/J4YqPPzwwwOWW8no0aMHLLeSCRMmDFhuFYVnfPor2/DnxFCFp59+uqTcym0+v/rqqwOWW8kJJ5xQUj755JNziiRf+++/f0n5gAMOyCcQq5oTg62T1atXD1huJXPnzi0pX3/99TlFYrZunBjMauTGG28sKd9www05RZKv+fPnl5TL71Ky4c+JoQojRowYsGytyXfjZNrb2wcs2/DnPVoVfPrE+rLvvvuWlPfbb7+cIsnX448/PmC51TTie6OcGMzM6mj69OksXLiQ6dOn5x3KoDkxmNXI7373u5LyrbfemlMk+TrwwANLypMnT84pkvz19PSsuSlhzpw5DVNrcGIwqxGfYsx8+tOfLil/5jOfySmS/E2fPn3NdrB69eqGqTU4MZjViKQBy63iqquuKilfeeWVOUWSv0a9U82JwaxG/MRvpnznV/58Rytp1DvVnBjMzOqkUa+3ODGY1chee+1VUt57771ziiRfb3nLW0rKW2yxRU6R5O+4445b85zTiBEjOO6443KOaHCcGMxq5FOf+lRJufwibKvwu8R6tbe3r6klTJkypWEab3JiMKuRc889t6T83e9+N6dI8tWo59Xr5bjjjmO33XZrmNoCDEFikHSQpD9JWizpX/r4/ihJSyXdkz5frndMZvXgtsAzvjurVHt7O9OmTWuY2gLAevWcuKSRwA+AycAS4E5JMyPigbJBfxERJ7xhAmbWcHx3VuOrd41hD2BxRDwSEa8BVwCH1nmeZma2DuqdGMYDxfXpJalfuU9JWiTpl5K26WtCko6V1CWpa+nSpfWI1cxqYOLEiSXlnXbaKadIrFr1Tgx9nVwsvxI1C5gQEbsCNwAz+ppQRFwQEZMiYtLYsWNrHKaZ1cojjzxSUl68eHFOkVi16p0YlgDFNYCtgZJ38EbEsogotAf5Y+C9dY7JrC580TXjd0Y1vnonhjuBHSW9VdL6wBHAzOIBJI0rKn4ceLDOMZnVxQYbbDBg2axR1PWupIh4XdIJwPXASODCiLhf0tlAV0TMBE6S9HHgdeAZ4Kh6xmRWLytWrBiwbNYo6poYACLiWuDasn5nFHWfBpxW7zhs7aZOnVqT88EnnXTSoIabOHHioIc1s6HjJ5/NzKxE3WsM1jiqOXqfPn06l1566ZpyZ2cnxxxzTC3DMmtoPT09nHXWWZx55pkN8/Szawy2Tsrf/+KkYFZq6tSpLFy4kKlTp+YdyqA5Mdg6KzxX0tnZmXMkZsNLT08PN998MwDz5s1zm8/WOsaPH8/uu+/e8rWF8ttTR48enVMkNlyU1xIapdbgxGBWI6+88kpJ2berWqG2UDBv3rx8AqmQE4OZmZVwYjAzsxJODGZmVsKJwcysTspvQGiUGxKcGMzM6qRR35/lxGBmZiWcGMzMrIQTg5mZlfBL9JpUrV6hPRh//vOfgepewlcpv6rbrP6cGJrU4sWLeei+u9h2o1V1n9f6K7OK5yvdd9Z1Pn9dPrKu0zezjBNDE9t2o1WcPml53mHUzDldG+UdgllL8DUGMzMr4cRgZmYlnBjMzKyEE4OZmZVwYjAzsxItf1dSre73H+y99b4PvzF4u7BW1lSJoZof85IlS2ryYqvCQ16DmV+lMXqnYWZDSRGRdwwVmzRpUnR1db2h/2GHHUZPT08OEdVXe3s7v/rVryoa57DDDuOZnqWMGln//+/K1QKgbUR95/XqKrFZ+9iK18XRRx/NE088Uaeoer300ktv6LfhhhvWbX7jxo3jwgsvrGicqVOnMnv27IrGefnllxnK/YQkxowZU9E4HR0dFR88teK6kLQgIiatbRpNVWPYdNNNh+S1tkO9A9h0002rGmeoXvG7Os1nxAb1fdf8aKpbF8899xzLX14+ZFu7EEG281j+Wp0eMHw9Wy6zeqh7jUHSQcC5wEjgJxHxn2XfjwIuBt4LLAM+GxHdA02zvxpDNao5/XTPPfe8od/uu+8+qHGb8bRQYXmmTp2acyR9O+mkk7j7/ruh8pxSuaVF3WPrOJ/n4N27vHtYrvP99tvvDf3mz5+fQyT5G27rYljUGCTjTOTjAAAKnklEQVSNBH4ATAaWAHdKmhkRDxQNdgzwbERMlHQE8F/AZ+sZl7WWiRMnDtm87lmaHTRIYrfxu9VvRuOHdrmstdS7cr0HsDgiHgGQdAVwKFCcGA4FzkzdvwTOk6QYohN51Ry993UUMByP3CpV7Z041b5ddahqT9XMo9p1UTiluOOOO1Y0XjPWJK1x1fs5hvHAY0XlJalfn8NExOvA88Dm5ROSdKykLkldS5cuLf/acjR69OiGacu23rwurBnUu8agPvqV1wQGMwwRcQFwAWTXGNY9NCvnI9ZeXhfWyupdY1gCbFNU3hp4vL9hJK0HvAl4ps5xmZlZP+qdGO4EdpT0VknrA0cAM8uGmQl0pu7DgZuG6vpCtcrvKmjVOy7M+uLfR69GXRd1PZUUEa9LOgG4nux21Qsj4n5JZwNdETET+ClwiaTFZDWFI+oZk5mZDaypnnw2M7P+DfY5Br9d1czMSjgxmJlZCScGMzMr4cRgZmYlGvLis6SlwF/yjgNoB5rvPd/V8bro5XWR8XroNVzWxXYRsdbXOzZkYhguJHUN5gp/K/C66OV1kfF66NVo68KnkszMrIQTg5mZlXBiWDcX5B3AMOJ10cvrIuP10Kuh1oWvMZiZWQnXGMzMrIQTg5mZlXBiACR9UlJIevtahjtK0lZF5Z9I2rn+Ea67tS2jpIskHV7jeR4gae9aTnMoSFol6R5J90taKOkUSS3zW5G0paQrJD0s6QFJ10raaYjm3S2pfSjmVSlJy8vKR0k6L6946qllNva1OBL4HWt/5fdRwJrEEBFfjogH+h98WBnsMtbSAUBFiUHSyPqEUpEVEbF7ROwCTAYOBr5RPlBqWKqpSBLwa+DmiNghInYG/hXYIt/IGl/59jLY7SeX7SwiWvoDbAT8DdgJ+GNR/1OBe4GFwH+SNSK0HPgTcA8wGrgZmJSGPzINfx/wX0XTWQ58M03ndmCL4bCMZE2qngc8APwWuDYtYwdwZdG4BwCzUvcU4PfAXcBVwEapfzdwVup/L/B2YALwZJrvPcC+wEXA4cXrpmge84DLgAdSv88Dd6RxpwMjh3B9LS8rbw8sS+vsqLTss4Cb0rq9sWjZD03jTAD+CPwkbROXAgcC/wv8GdgjDbcHcBtwd/r7tpx/Dx8C5vfRX8D/S8tyL/DZov/dLcCVwEPpt/K59L+7F9ghDTcWuJqs8a47gQ+k/psDc9LyTyd7o0E78O/AyUXz/yZwUs7rpny7OAo4L3Vvl7aDRenvtqn/RcB30/b938CZZHcozUnb+wbAz9K6uhv4YNG012xnQ76sea7o4fBJO6Cfpu7bgPeQ7RxvA8ak/pulvzeTEkFxmawW8de08a+XdhifSMMEcEjq/jZw+jBZxsOAuWQNKG0FPEeWGNZLy7JhGv5Hafx2YH5R/38Gzkjd3cCJqfsrwE9S95nA14viuIj+E8NLwFtT+R3pB9GWyj8EvjiE62t5H/2eJTtqPoqsOdrCNrEesEnqbgcWk+1EJwCvA+8iq5kvAC5M3x0KXJPG2QRYL3UfCFyd8+/hJOB7ffT/VNH2skXaRsal/91zqXsU2YHAWWmck4Hvp+7LgH1S97bAg6l7atF29NH0e2lP6++u1H8E8DCwec7rZhXZgUrh81d6E8MsoDN1H130/70I+A3pwCb9JhYAo1P5a8DPUvfb0zQ3KN/OhvrTdFXhKhwJfD91X5HKI8j+WS8DRMTa2qB+H1nVeymApEuB/YBrgNfINgzINojJNY1+cPpaxjbg8ohYBTwu6SZY0+redcAhkn5J9mM9Fdgf2Bn43+xsA+uT1R4KfpX+LiBLOpW6IyIeTd0fBt4L3JnmNRp4uopp1pKKuucWbRMC/kPSfsBqYDy9p10ejYh7ASTdD9wYESHpXrIdH2RtnM+QtCPZTrGtvotRtX3o3V6eknQL2Xb/AnBnRDwBIOlhsqNhyI6CP5i6DwR2Tv9PgE0kbUz2OzkMICJ+K+nZ1N0taZmkd5Otz7sjYlm9F3ItVkTE7oWCpKPIDgwB9qJ3u7+E7CCw4Kq03gpmRsSK1L0PMA0gIv4o6S9kNXso3c6GVEsnBkmbk1Wd3ykpyI6GgqzKW8kDHhrgu5WRDgfIjjiGdJ0PsIy/pv9l/AXwVbKmVu+MiBfTuee5EXFkP+O8mv4OtIyvk65rpemtX/TdS8VhAzMi4rSBlm2oSNqebLkKyak41s+R1RTfGxErJXWTHfFB7zqBLGm8WtRdWEf/DsyLiE9KmkBWC83T/WQ1x3IDbeODWc4RwF5FO8Rsolmi6G87/AnZkfOWZLWtRlK8TC+VfVe+rfenfLwh0+oXnw8HLo6I7SJiQkRsAzxKtkM8WtIYAEmbpeFfBDbuYzp/APaX1J4unh5Jdt51OBhoGY+QNFLSOHqP7CDbOb0H+DuyJAHZ9ZEPSJoIIGnMIO5UKV9f3WQ1AchOp/R3dHwjcLikt6R5bSZpu7UuaR1IGgucT3bKoK8d2JuAp1NS+CDZueZKvIns9AtkO8G83QSMkvR3hR6S3kd2Ku2zaXsZS3akf0cF050DnFA0zcKR93yy5IqkDuDNReP8GjiIrGZyfeWLMqRuo/fGjs+R3egxGMXLvxPZabY/1Ty6CrV6YjiSbOMrdjXZOfeZQJeke4Cvp+8uAs5PtzKOLoyQqtGnkV1gWkh2bvR/6hz7YPW3jFuSXQS9l+w6wppElqq9vyG71vKb1G8p2Y7rckmLyBLFgLf3kp13/WRaX/sCPyZLoHcAe9LPEVFkd3qdDsxJ85pLdg57qIwu3K4K3EC2Uzurn2EvBSZJ6iL7gf+xwnl9G/iWpP8lq83lKiW/TwKT0+2q95OdF7+M7MLqQrLkcWpEPFnBpE8iW0+LJD0AHJ/6nwXsJ+kuspsb/loUy2tkv6kry07FDEcnAV9K2+sXyK6vDMYPgZHp9OIvgKMi4tW1jFN3fiWGmQ1L6dmRu4BPR8Sf846nlbR6jcHMhqH04Ohisgv2TgpDzDUGMzMr4RqDmZmVcGIwM7MSTgxmZlbCicHMzEo4MZjV2TB5Y6zZoDkxmJWR9G+S/ihprqTLJX1d0g6SrpO0QNKthXYtUjsWUyXdJumRQpsWqS2KeZIuI3uIEEmfl3RHenhuenqKeGSaxn2S7pX0jzkuuhnQ4u9KMisnaRLZm0TfTfb7uIvsxYAXAMdHxJ8l7Un2xOqH0mjjyF6G9nayJ+Z/mfrvAbwzIh6V9A7gs2Svm14p6YdkT0rfD4yPiHem+W86BItpNiAnBrNS+wD/U3jZm6RZZC/F2xu4qujtoKOKxrkmIlYDD0gqbtBmMG+MnQVsL2kaWbsYczDLmRODWam+3nY5Aniu+JXLZYrfbVM8/qDeGCtpN+AjZG+0/QzZ+/zNcuNrDGalfkfWFsUGkjYia4/iZeBRSZ+G7JXhaWdeiT7fGKusfeMREXE18G9kb7U1y5VrDGZFIuJOSTPJ3iL6F6ALeJ7sesCPJJ1O9rrwK9Iwg53uA2ncOenlcCvJaggrgJ+lfpC9pdcsV35XklkZSRtFxPLUHsd84NiIuCvvuMyGimsMZm90QXq75wZk1wWcFKyluMZgZmYlfPHZzMxKODGYmVkJJwYzMyvhxGBmZiWcGMzMrMT/B1egFiTt/jtRAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23eb45beb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# having a copy of orginal data\n",
    "genre_data = tmdb_data.copy()\n",
    "\n",
    "# As genres are seperated by '|' we will split then and consider only the first genre stated there\n",
    "genre_analysis = genre_data['genres'].str.split('|', expand=True)#[0].value_counts().index[:5]\n",
    "genre_data['genres'] = genre_data['genres'].str.split('|', expand=True)[0]#.value_counts().index[:5]\n",
    "\n",
    "# Collecting only the top 5 genres with most frequency in movies\n",
    "gen_5 = genre_analysis.groupby(0).size().sort_values().index[-5:]\n",
    "\n",
    "# Movies with genre which has anyone of the most frequent genres\n",
    "genre_analysis = genre_data.loc[(genre_data.genres.isin(gen_5))]\n",
    "\n",
    "# Boxplot\n",
    "bx_plt = sns.boxplot(x='genres',y='revenue_adj',data=genre_analysis)\n",
    "bx_plt.set_title(\"Revnues of movies that has these genres\")\n",
    "bx_plt.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23eb438ff98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# To see and analyze other variables\n",
    "d = genre_analysis.groupby('genres').mean()\n",
    "plt.ylabel(\"mean popularity\")\n",
    "d['popularity'].plot(kind='bar', title='Popularity of movies of these generes');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">### Observation\n",
    ">><ul>\n",
    "    <li>Movies with Adventure as genre is having most revenue than any genre</li>\n",
    "    <li>Action is second best genre, concering revenue</li><li>To second the first observation, even popularity for adventure movies is higher than any other genre</li>\n",
    "</ul>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='actor'></a>\n",
    "#### How lead actor is influencing revenue and which Actor is best, concerning revenues?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23eb42a2a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# having a copy of orginal data\n",
    "cast_data = tmdb_data.copy()\n",
    "\n",
    "# As casts are seperated by '|' we will split then and consider only the first genre stated there\n",
    "cast_analysis = cast_data['cast'].str.split('|', expand=True)\n",
    "cast_data['cast'] = cast_data['cast'].str.split('|', expand=True)\n",
    "\n",
    "# Collecting only the top 5 genres with most frequency in movies\n",
    "cast_5 = cast_analysis.groupby(0).size().sort_values().index[-5:]\n",
    "\n",
    "# Movies with genre which has anyone of the most frequent genres\n",
    "cast_analysis = cast_data.loc[(cast_data.cast.isin(cast_5))]\n",
    "\n",
    "# Boxplot\n",
    "bx_plt = sns.boxplot(x='cast',y='revenue_adj',data=cast_analysis)\n",
    "bx_plt.set_title(\"Revnues of movies that has these Lead Actors\")\n",
    "bx_plt.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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TeA+wMXCN7X0krQIctwiOrQGWeaANbR8LHAswY8aMAbeJeL5eedIrmw6BG/a6oekQosfVaX30ZGmaOl/SZOA+hqlkrmkuMLVtfjXgrkXwvhERMUp1ksIsSSsC/wVcRdU53hVD71LLWcCeqmwFPJz6hIiIZtVpffTxMnm0pPOAybavH24/SadS1UWsLGkucDCwRHnPo6nqJ3YA5lA1Sd1nNB8gIiIWnaE6xNtsqHXDPVNge/dh1puFn32IiIiGDXWn8J0h1hl44yKOJSLGiJvXXa/pEFjvTzc3HUJPGqpDvDd0M5CIiGhenecU9hxo+XAPr0VExPhT5zmFzdumlwLeRNUCKUkhImKCqdP66BPt85JWAE7uWEQREdGYOs8p9PcEVSd2ERExwdSpU/gVC7qfmASsB2QktoiICahOncK326bnA3fYntuheCIiokHDFh/Zvgi4BVgBWIkqMURExAQ0bFKQ9GGqvo52oeoxdaakDw29V0REjEd1io8OBDa1/QCApBcBlwHHdzKwiIjovjqtj+YCj7bNP8rCg+NERMQEUedO4a/A5ZJ+SdUKaWfgCkkHANj+bgfji4iILqqTFP5cXn1+WX4uv+jDiYiIJtV5ovlQAEnLV7N+rONRRUREI+q0PtpQ0jXAjcBsSVdJ2qDzoUVERLfVqWg+FjjA9uq2Vwc+SzU0Z0RETDB1ksKytn/fN2P7QmDZOm8uaTtJt0iaI+mLA6yfJun3kq6RdL2kHWpHHhERi1ydpHCrpH+VNL28vgLcNtxOkiYBRwHbA+sDu0tav99mXwF+ZntTYDfghyMLPyIiFqU6SeFDwBTgTODnZXqfGvttAcyxfavtp4HTqJqztjMwuUyvANxVJ+iIiOiMOq2PHgI+WcZReNb2o8PtU6zKwg+5zQW27LfNIcD/k/QJqiKpNw/0RpL2A/YDmDZtWs3DR0TESNVpfbS5pBuA64AbJF0n6VU13lsDLHO/+d2BE22vBuwAnCzpOTHZPtb2DNszpkyZUuPQERExGnWKj34EfNz2dNvTgX8GTqix31xgatv8ajy3eGhfytgMtv9INdznyjXeOyIiOqBOUnjU9h/6ZmxfwsJ9IQ3mSmBtSWtIWpKqIvmsftv8hWrMZyStR5UU5tUJPCIiFr063VxcIekY4FSq4p/3ARdK2gzA9tUD7WR7vqT9gfOpRmw73vZsSV8FZtk+i/LMg6TPlPfe23b/IqaIiOiSOklhk/Lz4H7LX0P1Rf7GwXa0fQ5wTr9lB7VN3wRsXSvSiIjouDqtj97QjUAiIqJ5deoUIiKiRyQpRERES5JCRES01KloRtJrgOnt29v+cYdiioiIhgybFCSdDKwFXAs8UxYbSFKIiJhg6twpzADWz/MDERETX506hRuBl3Q6kIiIaF6dO4WVgZskXQE81bfQ9k4diyoiIhpRJykc0ukgIiJibKjzRPNF3QgkIiKaV2c8ha0kXSnpMUlPS3pG0iPdCC4iIrqrTkXzkVSD4fwfsDTw4bIsIiImmFoPr9meI2mS7WeAEyRd1uG4IiKiAXWSwhNlkJxrJX0LuJtqPOWIiJhg6iSFD1IVM+0PfIZqiM13dzKo6KJDVmg6Ajjk4aYjiIiiTuujOyQtDbzU9qFdiCkiIhpSp/XRjlT9Hp1X5jeR1H+s5cH23U7SLZLmSPriINvsKukmSbMl/WQkwUdExKJV9+G1LYALAWxfK2n6cDtJmgQcBbwFmAtcKemsMgRn3zZrA18Ctrb9kKQXjzD+iIhYhOo0SZ1vezSFvlsAc2zfavtp4DRg537bfAQ4yvZDALbvG8VxIiJiEanVIZ6k9wOTJK0t6QigTpPUVYE72+bnlmXt1gHWkXSppJmSthvojSTtJ2mWpFnz5s2rceiIiBiNOknhE8AGVJ3hnQo8Any6xn4aYFn/7rcXB9YGtqV6QO44SSs+Zyf7WNszbM+YMmVKjUNHRMRo1Gl99ATw5fIaiblUzVf7rAbcNcA2M23/A7hN0i1USeLKER4rIiIWgTqtj2ZIOlPS1ZKu73vVeO8rgbUlrVEeftsN6N9q6RfAG8pxVqYqTrp1ZB8hIiIWlTqtj04BDgRuAJ6t+8a250vaHzgfmAQcb3u2pK8Cs2yfVda9VdJNVEN9Hmj7gZF+iIiIWDTqJIV55Qt8xGyfA5zTb9lBbdMGDiiviIhoWJ2kcLCk44DfsfDIa2d2LKqIiGhEnaSwD7AusAQLio8MJClEREwwdZLCxrZf2fFIIiKicXWeU5gpaf2ORxIREY2rc6fwWmAvSbdR1SmIqo54o45GFhERXVcnKQzY9UREREw8tcZT6EYgERHRvDp1ChER0SOSFCIioiVJISIiWpIUIiKiJUkhIiJakhQiIqIlSSEiIlqSFCIioiVJISIiWpIUIiKipaNJQdJ2km6RNEfSF4fY7j2SLGlGJ+OJiIihdSwpSJoEHAVsD6wP7D5QF9ySlgc+CVzeqVgiIqKeTt4pbAHMsX2r7aeB04CdB9jua8C3gL93MJaIiKihk0lhVeDOtvm5ZVmLpE2BqbbPHuqNJO0naZakWfPmzVv0kUZEBNDZpKABlrm1UloM+B7w2eHeyPaxtmfYnjFlypRFGGJERLTrZFKYC0xtm18NuKttfnlgQ+BCSbcDWwFnpbI5IqI5nUwKVwJrS1pD0pLAbsBZfSttP2x7ZdvTbU8HZgI72Z7VwZgiImIIHUsKtucD+wPnAzcDP7M9W9JXJe3UqeNGRMTo1RmjedRsnwOc02/ZQYNsu20nY4mIiOHlieaIiGhJUoiIiJYkhYiIaElSiIiIliSFiIhoSVKIiIiWJIWIiGhJUoiIiJYkhYiIaElSiIiIliSFiIhoSVKIiIiWJIWIiGhJUoiIiJYkhYiIaElSiIiIliSFiIho6WhSkLSdpFskzZH0xQHWHyDpJknXS/qdpNU7GU9ERAytY0lB0iTgKGB7YH1gd0nr99vsGmCG7Y2AM4BvdSqeiIgYXifvFLYA5ti+1fbTwGnAzu0b2P697SfK7ExgtQ7GExERw+hkUlgVuLNtfm5ZNph9gXMHWiFpP0mzJM2aN2/eIgwxIiLadTIpaIBlHnBD6QPADODwgdbbPtb2DNszpkyZsghDjIiIdot38L3nAlPb5lcD7uq/kaQ3A18GtrH9VAfjiYiIYXTyTuFKYG1Ja0haEtgNOKt9A0mbAscAO9m+r4OxREREDR1LCrbnA/sD5wM3Az+zPVvSVyXtVDY7HFgOOF3StZLOGuTtIiKiCzpZfITtc4Bz+i07qG36zZ08fkREjEyeaI6IiJYkhYiIaElSiIiIliSFiIhoSVKIiIiWJIWIiGhJUoiIiJYkhYiIaElSiIiIliSFiIhoSVKIiIiWJIWIiGhJUoiIiJYkhYiIaElSiIiIliSFiIhoSVKIiIiWjiYFSdtJukXSHElfHGD9CyT9tKy/XNL0TsYTERFD61hSkDQJOArYHlgf2F3S+v022xd4yPbLge8B3+xUPBERMbxO3ilsAcyxfavtp4HTgJ37bbMzcFKZPgN4kyR1MKaIiBjC4h1871WBO9vm5wJbDraN7fmSHgZeBNzfvpGk/YD9yuxjkm7pSMQjszL94hwJTax7oud1Ljh0Ql0HPL+/i71zLlom1vXh8zoX+x+zSGJYvc5GnUwKA/1GPYptsH0scOyiCGpRkTTL9oym4xgLci4WyLlYIOdigfF0LjpZfDQXmNo2vxpw12DbSFocWAF4sIMxRUTEEDqZFK4E1pa0hqQlgd2As/ptcxawV5l+D3CB7efcKURERHd0rPio1BHsD5wPTAKOtz1b0leBWbbPAn4EnCxpDtUdwm6diqcDxlRxVsNyLhbIuVgg52KBcXMulAvziIjokyeaIyKiJUkhIiJakhRGQdILJW3UdBwxNkhaWtIrmo4jxh5JKwzQk8OYlqRQk6QLJU2WtBJwHXCCpO82HVc3SVppqFfT8TVB0o7AtcB5ZX4TSf1b2fUMSatIekd5vbjpeJog6Xflu+KFwA3ATyQd3nRcdSUp1LeC7UeAXYATbL8KeHPDMXXbVcCs8nMe8L/A/5XpqxqMq0mHUHXp8jcA29cC0xuMpzGSdgWuAN4L7ApcLuk9zUbViJXavitOsr0J8LaGY6qtk080TzSLS3op1R/7l5sOpgm21wCQdDRwlu1zyvz29F6C7DPf9sPpsguo/i82t30fgKQpwG+p+jXrJYuXz/5e4KCmgxmp3CnU91WqZy7m2L5S0ppUV8m9aPO+hABg+1xgmwbjadKNkt4PTJK0tqQjgMuaDqohi/UlhOIBevM75t+Bi4C/2L6ifFfc1nBMteU5hRgxSecDfwD+m6qvqg8Ar7c9bm6RFxVJy1BdIb+Vqi+v84Gv2f57o4E1oJSbbwScWha9D7je9heai6r7JK1o+2/9lq1u+46mYhqJJIVhSPq87W+VK8CBOuv7ZANhNapUKh8MvL4suhg41Hb6repxknYBXkuVIC+2/fOGQ+o6SX8Atrf9WJlfFzjD9obNRlZP6hSGd3P5OavRKMaQ8uX/KUmTgWf7/vh7kaRf8dyLhYep/l6O6ZU7hjKo1vm23wyc2XQ8DTscOFvSDsA6wCnAB5sNqb7cKcSISXol8GOgrxnq/cBetm9sLqpmSPoBMIWFi0zuAZYGJtseN18Gz1dpivtB2w83HUvTJL0b+AxVz8/vtf2nhkOqLXcKwxjkSrDF9k5dDGesOAY4wPbvASRtS9Xh12uaDKohm9p+fdv8ryRdbPv1kmY3FlUz/g7cIOk3wON9C3uliFXS91jwXSFgRWAOsJ8kbB/QWHAjkKQwvG83HcAYtGxfQgCwfaGkZZsMqEFTJE2z/RcASdOoRtkCeLq5sBrx6/LqVf3vlMflnXOKj2LEJP0cuBo4uSz6ADDD9jubi6oZpdz4aODPVFeHawAfBy4EPmL7+81FFzFySQrDkHQDQxcf9VwfSOXx/UNpa2UCHGL7oUYDa4ikFwDrUp2LP/VK5XIfST+zvetg/yu99j8iaSuq1nmr01YaY3udxoIagSSFYUgacrDr8dL2uBPS+qgiaUNgfWCpvmW2f9xcRN0l6aW27x7sf6XX/kck3Qx8nqrrl2f6ltu+t7GgRiBJIUYsrY8WkHQwsC1VUjgH2B64xHYv9vkTgKTLbW/ZdByjlaQwDEmX2H6tpEdZ+NZYgG1Pbii0xki6DPhyv9ZHh9nuudZHpchkY+Aa2xtLWgU4zvaODYfWNZJuY4D/jTJt22t1P6rmSPp6mTwTeKpvue3rm4loZNL6aBi2X1t+Lt90LGNIWh8t8KTtZyXNL8Vp9wFrNh1Ul83oN78YVceRnwOu6X44jXttv59QJcnXD7DtmJOkMAxJ3wcuBS61fVfT8YwRt0r6VxZufTRuOvxaxGZJWhH4L6oy5Meouo/uGbYfAJC0GNWTuwdSjTHxdts3NRlbE2y/rukYno8UHw1D0v5UD2X1FY1cRpUkLgOus/1sU7E1ZYDWRxdR9X3Uk62P+kiaTvUU87goJlhUJC0BfIjqCd5LgK/b/nOzUTVL0tuADVi48cFhzUVUX5LCCJTxFLamShA7AS/u0TqFNW3f2nQcTSr/9MvbPqPf8j2A+2z/ppnIuk/SXGA+8H3gL/3X2+6pvpAk/ZDqaebXAycA7wZm2v5Qo4HVlKRQg6oRVF5JlQy2pmppMg/4o+1Dm4ytCZIuBlYFrqR6RuEPtm9oNqrukjQT2NH2vH7LXwL83Parm4ms+ySdyODP8ni8fBkuKpKut72RpOtK44Plgf+x/damY6sjdQrDKP24TKYqI51J1crm5qH3mthKvz5LAptTNcf8taTlbPfSOM3L9E8IALbv6bVKd9t7Nx3DGPNk+fn3cpHwAONoiNYkheHdStXkcG2qX+79kubZvr/ZsJoj6bXA68prReBsqkF3eslSkha3Pb99YSlfX7qhmGJsOLc0Pvg21cXkM1TP9YwLKT6qqTQ33IqqCGkrqu6Sb7S9V6OBNUDSM1TjBXwdOMd2r3X8hqRvAKsA+9t+vCxbFvgP4P5eG20sBiZpaWDp8TQAVe4U6nsKeILq1vApYDVgyUYjas6LqOpWXg98UtKzVPUr/9psWF31FeDfgDsk9XWQRB2QAAALqElEQVTjMA34EdBL5yEKSYN2o1+6zj6rm/GMVu4UhlH6SH8NVfHRtVRNUS8DLus/DmsvkbQesA1VEdJrqAYp36bZqLqvXAm+vMzOsf3kUNtPZGW86s8C02x/RNLawCtsn91waF0h6eS22e2Bc9vmbXvPLoc0KkkKw5D0SaokcI3tZ4bbvhdI+jNwC1U9wiXA5b1YhBQLk/RTqgf49rS9YUmYf7S9ScOhdZ2ka2xv2nQco5Hio2HY/o+mYxiD9rF9cfsCSVvbvrSpgGJMWMv2+yTtDmD7ydKcuxeN26vtxZoOIMalgQaOOaLrUcRY83S5OzCApLVo6xAuxofcKURtkl5NVX8wRVL7eLOTgUnNRNUsSVsD19p+XNIHgM2AH/TaGALFwcB5wFRJp1A1Rti70Yi6qIxI2HeHsKakhZ7ktr1L96MauSSFESjt89e2fYKkKcBytnupI7glgeWo/m7ae419BOjV8QP+E9hY0sZUA6v8iKpNes9Vutv+jaSrqZpsC/hUjz3Pc2Tb9FGNRfE8paK5pjKYygyq1hTrSHoZcLrtrRsOreskrd53JVx6xlzO9iMNh9UISVfb3kzSQcBfbf+ob1nTsXWTpMWpWtysWxbdDJzX/+G+GPtSp1Dfu6g6wXscoHSj3atjLHxd0uTysNZNwC2SDmw6qIY8KulLVN2H/1rSJGCJhmPqqnKBNJuqOerLqPrFOhCYXdbFOJKkUN/Trm6r+irReqp/m37WL3cG76QagnIaVT/6veh9VJWp+9q+h+oL8fBmQ+q6w4D/tL2t7c/Y/nR5ZuUoqqfeYxxJ8VFNkj5H9QDbW6j+0D8E/MR2z7W6kTQb2AT4CXCk7Yv6eoRsOLRogKQ/2V53kHW32H5Ft2OK0UtFc022vy3pLVSVqq8ADuqlPvP7OQa4HbgOuFjS6lTnpedI2oqqOe56VBXxk4DHbK/QaGDdNdRT3E90LYoxQtJmwJeA1am+Y/vGcx8X9Uy5U6hJ0hrA3bb/XuaXBlaxfXujgY0RA/UY2gskzQJ2A06naoiwJ1ULtX9pNLAuknQr1XjMz1kFfMv2Wl0OqVGS/gT8C3AD0BqZcbyMRpc7hfpOZ8GQnFB1h3s61ZgCPUfS2+k33CDw1YbCaZTtOZImlW5QTpB0WdMxddlFwI6DrLt4kOUT2QPjebS5JIX6Fm/v38f202WgmZ4j6WhgGeANwHFUzyj01GD1bZ4ofwfXSvoWcDfQU40QbO/TdAxjzKGSjgF+S9sT3eOll9S0PqpvXnvXuJJ2BnrpwZx2ryk9Pj5UhiN9NTC14Zia8kGqeoT9qZorT6Uakzd61x7AFlSt895bXuPm4c7UKdRU+nE5haodtoA7qXqDnNNoYA2QdLntLcs4xbtQjUh3o+21Gw4tonGSbrS9YdNxjFaKj2oqlURbSVqOKpk+2nRMDTq7DDd4OHA11bMbxzUbUndJuoEhesK0vVEXwxkTJL3A9lPDLesBl0t6he1bmg5kNHKnUFPpxuA5bPdk5WofSS8AlrL9cNOxdFNphjuoXuwQb6DuPXq0y48bgHWAOVR1CuOqSWruFOp7vG16KeAdVP279AxJn7f9rTL9Xtunl6vApyQd1kvNMNu/9CWtwoJWaFfYvq+ZqJoh6SVUT3IvLWlTqi9BqHrPXaaxwJrzzqYDeD5ypzBK5Qr5LNtvazqWbmm/6ut/BdiLV4QAknalKka7kOrL8HXAgbbPaDKubpK0F1UX2TOAK1mQFB4BThrPzTNHS9KGwGvL7B9sz24ynpHIncLoLQOs2XQQXaZBpgea7xVfBjbvuzsoXar/FuiZpGD7pDI+8e62T2k6nqZJ2h/4OPCLsuhnko6y/cMGw6otSaGmfhWLk4Ap9N7DWh5keqD5XrFYv+KiB+jBpt62n5X0UaoWer1uP2AL248BSDqMapz3JIUJ5h1t0/OBe3uwW4eNJT1CdVewdJmmzC81+G4T2nmSzgdOLfPvA85tMJ4m/aZ0HPlT2urgbD/YXEiNEPCPtvl/MI7upFOnUEMZSOb68dz2ODpH0i5U5ccCLrb984ZDaoSkgUYhtO2eKGbt6/9L0ueB3YH/KaveBZxq+9vNRVdfkkJNZczZL9n+S9OxxNiRjhKjT7+GGJtTNTrou1C4stHgRiDFR/W9lGokqStY+NZ4p8F3iR6QjhILScsABwDTbO8naW2q4WvPbji0bmkVEZUkMG4SQbskhfoObTqAGJPSUeICJwBXsSBJzqVKkL2SFKZIOmCwlba/281gRqvnWkmMlu2L+l5U49FeXKZ7jqRv1lnWI9JR4gJrlYcb/wFg+0nGUQXrIjAJWI5q7PaBXuNC7hSGUUbW+gbwIPA14GRgZWAxSXvaPq/J+BryFuAL/ZZtP8CyXvAx4BRJR9LWUWKzITXm6VKn0jeO+Vq0dR3dA+6eCN3eJCkM70iqUZRWAC4Atrc9U9K6VM0QeyYpSPonqody1pR0fduq5YFLm4mqWekocSEHU/0/TC0NM7ametK5V0yIu6K0PhqGpGttb1Kmb7a9Xtu6a2xv2lx03SVpBeCFwNeBL7aterTX2qJL+oDt/x6sDHm8lB8vapJeBGxF9QU503bPFKVJWmki/B/kTmF4z7ZN9x+gvKcyaukJ9WFgd0mTgFWo/oaWk7RcjzXX7RtdbdyUFXfJNlTPbBhYAuiZZzYmQkKA3CkMS9IzVE1QBSwNPNG3iqrL6CWaiq0ppW+XQ4B7WZA03YtjCMQCkn4IvJyFn+7+s+1/bi6qGKkkhRgxSXOALW0/0HQsTRlsfI3Ctr/WtWDGCEmzgQ1dvlRKTwA32N6g2chiJNIkNUbjTqpipF72+AAvgH3pzVZYALcA09rmpwLXD7JtjFGpU4jRuBW4UNKvaWty2EuVq7a/0zctaXngU8A+wGnAdwbbbyKS9CuqOoQVgJvLU/9QDV5/WWOBxagkKcRo/KW8liyvniRpJapuHfYATgI2s/1Qs1E1Ylx09Bb1pE4hYhQkHQ7sAhwLHNXXd36v6/WhSSeCJIWoTdL3bX+6rbhgIb3UOaCkZ6mKzuaz8LnoG6R9ciOBNShDk04MSQpRm6RX2b5K0jYDre/VvqCiIuk64C39hya1vXGzkcVIpE4harN9VfmZL/8YSIYmnQCSFKK2fuNUL7SKPLwWGZp0QkjxUdQmafWh1tu+o1uxxNiUoUnHvySFqE3Sy6mGmry03/LXAXeVHkMjACj9Y+1m+5SmY4n6Ut4XI/F9YKCuoZ8s66IHSZos6UuSjpT0VlX2p3rIcdem44uRyZ1C1CbpRtsbDrLuBtuv7HZM0TxJvwQeAv4IvImqe/UlgU/ZvrbJ2GLkUtEcI7HUEOuW7loUMdas2XdBIOk4quFIp/X4gEPjVoqPYiSulPSR/gsl7Us1YHv0pn/0Tdh+BrgtCWH8SvFR1Fa6MPg58DQLksAMqqKCd9m+p6nYojltY47AwuOO9OzT3eNZkkKMmKQ3AH11C7NtX9BkPBGx6CQpRERES+oUIiKiJUkhIiJakhQiukDSdEnvbzqOiOEkKUR0x3QgSSHGvCSFiJok7SnpeknXSTpZ0o6SLpd0jaTflia7SNpG0rXldU0Zw/kbwOvKss80+0kiBpfWRxE1SNoAOBPY2vb9ZXxmA3+zbUkfBtaz/dkyMt03bF8qaTng71Q9h37O9jsa+xARNaSbi4h63gicYft+ANsPSnol8FNJL6V6gO+2su2lwHclnQKcaXuupEaCjhipFB9F1COeO8DQEcCRpd+fj1L6hrL9DeDDVE/2zpS0bjcDjXg+khQi6vkdsKukFwGU4qMVgL+W9Xv1bShpLds32P4mMAtYl6rL8eW7G3LEyKX4KKIG27Ml/TtwUenr5xrgEOB0SX8FZgJrlM0/XboCeQa4iWpIymeB+WVw+xNtf6/bnyGijlQ0R0RES4qPIiKiJUkhIiJakhQiIqIlSSEiIlqSFCIioiVJISIiWpIUIiKi5f8DoyyHjIuD490AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23eb4400cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# To see and analyze other variables\n",
    "d = cast_analysis.groupby('cast').mean()\n",
    "plt.ylabel(\"mean popularity\")\n",
    "d['popularity'].plot(kind='bar', title='Popularity of movies of these cast');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">### Observation\n",
    ">><ul>\n",
    "    <li>Movies with Tom Hanks as lead actor are having most revenue than any actors</li>\n",
    "    <li>Bruce Wills is second best actor, concering revenue</li><li>To second the first observation, even popularity for Tom Hanks acted movies is higher than any other actor</li>\n",
    "</ul>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='conclusions'></a>\n",
    "## Conclusions\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Limitations\n",
    "<ul>\n",
    "    <li>Some of the data is incomplete and replaced by mean, so the analysis is tentative</li>\n",
    "    <li>The data contains 21 columns and most of them are irrelevant moreover we got only 10561 rows and the data in many of them were incomplete</li>\n",
    "    <li>Having an extra column stating how much money was spent on marketing, given the amount invested in reaching out to poeple may have influenced the revenue. </li>\n",
    "    <li>Voting and popularity may have sourced from irrelevant sources so that can be a limitation </li>\n",
    "    <li>Having cast and genres in the same column as a collection is a bit difficult, but I attempted to solve it by taking first genre and lead actor into consideration.</li>\n",
    "</ul>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Some Analysis\n",
    "<ul>\n",
    "    <li><b><a style=\"color:black\" href=\"#req1\">Trend: Over the years from 1960 to 2015:</b></a></li>\n",
    "    <ul>\n",
    "        <li><a style=\"color:black\" href=\"#runtime\">Runtime has been considerately same and there was not much difference</a></li>\n",
    "        <li><a style=\"color:black\" href=\"#popularity\">Popularity was increased drastically, this can be explained with advent of social network promotions.</a></li>\n",
    "        <li><a style=\"color:black\" href=\"#revenue\">Revenue collected from movies has been decreased in recent movies than earlier movies from 1960-1990 period</a></li>\n",
    "        \n",
    "    </ul>\n",
    "     <li><b><a style=\"color:black\" href=\"#req2\">Factors: Good revenue in movies</b></a></li>\n",
    "     <ul>\n",
    "        <li><a style=\"color:black\" href=\"#director\">Director plays a crucial role in creating a good movie, so Steven Spielberg movies were considered to get good revenue than other directors</a></li>\n",
    "        <li><a style=\"color:black\" href=\"#genre\">Adventure movies has highest revenue than any other genre</a></li>\n",
    "        <li><a style=\"color:black\" href=\"#actor\">Movies with Tom Hanks as lead actor got more revenue than any other actor.</a></li>\n",
    "    </ul>\n",
    "</ul>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Final Words\n",
    "<ul>\n",
    "    <li>First question, how is the trend for movies over the years, we can understand that over the years runtime has been considrate over the years.</li><li> Revenue was decreased over the years, this can be explained as the number of movies over the time also increased so people have lot more options and may not spend on single movie.</li><li> popularity obviosly increased due to advent of internet and social network or may be better marketing strategies.</li>\n",
    "    <li>Second questions, the factors that influenced good revenue.</li>\n",
    "    <li>The analysis I perfermed suggests that a proved good director will perform good in his next movie.</li>\n",
    "    <li>Movie genre greatlty influences a movie and from my analysis, adventure turned out to be best genre interms of revenue generation</li>\n",
    "    <li>A good cast or actors definetly influences a movie, considering lead actor, my analysis gave an insight that some actors are great influencers in creating a good revenue</li>\n",
    "    <li>While the correlations above might not be the exact causes and further statistical tests needed to be performed on those variables to prove the point.</li>\n",
    "</ul>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Some more interesting analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Months to have most number of releases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x23eb441db38>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23eb77f0940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "month_analysis =  tmdb_data.groupby(\"release_month\")\n",
    "month_analysis.describe()['budget']['count'].plot.bar(title=\"Number of movies for each month\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "References:<br>\n",
    "https://stackoverflow.com was used extensively for many queries in using pandas.<br>\n",
    "https://pandas.pydata.org was used as documentation reference."
   ]
  }
 ],
 "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": "3.5.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}