Recommendation_systems.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Movies Recommendation System"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is a recommendation system?\n",
    "A recommendation system generates a compiled list of items in which a user might be interested, in the reciprocity of their current selection of item(s).\n",
    "\n",
    "Every major tech giant of the FAANG(Facebook,Amazon,Apple,Netflix and Google) makes use of this system.\n",
    "\n",
    "For instance, the Netflix recommendation system offers recommendations by matching and searching similar users' habits and suggesting movies that share characteristics with films that users have rated highly.\n",
    "\n",
    "Amazon uses it to suggest products to customers, YouTube uses it to decide which video to play next on autoplay, and Facebook uses it to recommend pages to like and people to follow.\n",
    "\n",
    "### Problem Statement\n",
    "\n",
    "We want to create a baseline rcommendation system with the TMDB data set.\n",
    "\n",
    "### Approach\n",
    "\n",
    "**1. Demographic Based Generic Recommendation system**\n",
    "\n",
    "The basic idea behind this system is that movies that are more popular and critically acclaimed will have a higher probability of being liked by the average audience.\n",
    "\n",
    "**2. User-Item Based Recommendation system**\n",
    "\n",
    "The item-based system recommends items based on their similarity with the items that the target user rated. Likewise, the similarity can be computed with Pearson Correlation. We will be using Pearson correlation for our purpose\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Demographic Based Generic Recommendation system\n",
    "\n",
    "### Data Description\n",
    "\n",
    "\n",
    "**tmdb_5000_credits data**\n",
    "\n",
    "|Features|Description|\n",
    "|-----|-----|\n",
    "|movie_id|A unique identifier for each movie|\n",
    "|cast|The name of lead and supporting actors|\n",
    "|crew|The name of Director, Editor, Composer, Writer etc|\n",
    "\n",
    "**tmdb_5000_movies data**\n",
    "\n",
    "|Features|Description|\n",
    "|-----|-----|\n",
    "|budget|The budget in which the movie was made|\n",
    "|genre|The genre of the movie, Action, Comedy ,Thriller etc|\n",
    "|homepage|A link to the homepage of the movie|\n",
    "|id|This is infact the movie_id as in the first dataset|\n",
    "|keywords|The keywords or tags related to the movie|\n",
    "|original_language|The language in which the movie was made|\n",
    "|original_title|The title of the movie before translation or adaptation|\n",
    "|overview|A brief description of the movie|\n",
    "|popularity|A numeric quantity specifying the movie popularity|\n",
    "|production_companies|The production house of the movie|\n",
    "|production_countries|The country in which it was produced|\n",
    "|release_date|The date on which it was released|\n",
    "|revenue|The worldwide revenue generated by the movie|\n",
    "|runtime|The running time of the movie in minutes|\n",
    "|status|\"Released\" or \"Rumored\"|\n",
    "|tagline|Movie's tagline|\n",
    "|title|Title of the movie|\n",
    "|vote_average|average ratings the movie recieved|\n",
    "|vote_count|the count of votes recieved|\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reading and understanding the basics of data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#https://www.kaggle.com/tmdb/tmdb-movie-metadata\n",
    "credits = pd.read_csv(\"/data/tmdb_5000_credits.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "movies_df = pd.read_csv(\"/data/tmdb_5000_movies.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie_id</th>\n",
       "      <th>title</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19995</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
       "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>285</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206647</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
       "      <td>[{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>49026</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>49529</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
       "      <td>[{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...</td>\n",
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       "  </tbody>\n",
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      ],
      "text/plain": [
       "   movie_id                                     title  \\\n",
       "0     19995                                    Avatar   \n",
       "1       285  Pirates of the Caribbean: At World's End   \n",
       "2    206647                                   Spectre   \n",
       "3     49026                     The Dark Knight Rises   \n",
       "4     49529                               John Carter   \n",
       "\n",
       "                                                cast  \\\n",
       "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
       "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
       "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
       "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
       "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
       "\n",
       "                                                crew  \n",
       "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
       "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  \n",
       "2  [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...  \n",
       "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...  \n",
       "4  [{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credits.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>budget</th>\n",
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       "      <th>homepage</th>\n",
       "      <th>id</th>\n",
       "      <th>keywords</th>\n",
       "      <th>original_language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>overview</th>\n",
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       "      <th>tagline</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>237000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://www.avatarmovie.com/</td>\n",
       "      <td>19995</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2009-12-10</td>\n",
       "      <td>2787965087</td>\n",
       "      <td>162.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...</td>\n",
       "      <td>Released</td>\n",
       "      <td>Enter the World of Pandora.</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>300000000</td>\n",
       "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
       "      <td>http://disney.go.com/disneypictures/pirates/</td>\n",
       "      <td>285</td>\n",
       "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
       "      <td>en</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2007-05-19</td>\n",
       "      <td>961000000</td>\n",
       "      <td>169.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>At the end of the world, the adventure begins.</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>245000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://www.sonypictures.com/movies/spectre/</td>\n",
       "      <td>206647</td>\n",
       "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
       "      <td>en</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>107.376788</td>\n",
       "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...</td>\n",
       "      <td>[{\"iso_3166_1\": \"GB\", \"name\": \"United Kingdom\"...</td>\n",
       "      <td>2015-10-26</td>\n",
       "      <td>880674609</td>\n",
       "      <td>148.0</td>\n",
       "      <td>[{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...</td>\n",
       "      <td>Released</td>\n",
       "      <td>A Plan No One Escapes</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>250000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
       "      <td>http://www.thedarkknightrises.com/</td>\n",
       "      <td>49026</td>\n",
       "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
       "      <td>en</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>Following the death of District Attorney Harve...</td>\n",
       "      <td>112.312950</td>\n",
       "      <td>[{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2012-07-16</td>\n",
       "      <td>1084939099</td>\n",
       "      <td>165.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>The Legend Ends</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>7.6</td>\n",
       "      <td>9106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>260000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://movies.disney.com/john-carter</td>\n",
       "      <td>49529</td>\n",
       "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>John Carter is a war-weary, former military ca...</td>\n",
       "      <td>43.926995</td>\n",
       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}]</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2012-03-07</td>\n",
       "      <td>284139100</td>\n",
       "      <td>132.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>Lost in our world, found in another.</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2124</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "      budget                                             genres  \\\n",
       "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "1  300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
       "2  245000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "3  250000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   \n",
       "4  260000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "\n",
       "                                       homepage      id  \\\n",
       "0                   http://www.avatarmovie.com/   19995   \n",
       "1  http://disney.go.com/disneypictures/pirates/     285   \n",
       "2   http://www.sonypictures.com/movies/spectre/  206647   \n",
       "3            http://www.thedarkknightrises.com/   49026   \n",
       "4          http://movies.disney.com/john-carter   49529   \n",
       "\n",
       "                                            keywords original_language  \\\n",
       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...                en   \n",
       "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...                en   \n",
       "2  [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...                en   \n",
       "3  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...                en   \n",
       "4  [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...                en   \n",
       "\n",
       "                             original_title  \\\n",
       "0                                    Avatar   \n",
       "1  Pirates of the Caribbean: At World's End   \n",
       "2                                   Spectre   \n",
       "3                     The Dark Knight Rises   \n",
       "4                               John Carter   \n",
       "\n",
       "                                            overview  popularity  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
       "2  A cryptic message from Bond’s past sends him o...  107.376788   \n",
       "3  Following the death of District Attorney Harve...  112.312950   \n",
       "4  John Carter is a war-weary, former military ca...   43.926995   \n",
       "\n",
       "                                production_companies  \\\n",
       "0  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...   \n",
       "1  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...   \n",
       "2  [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...   \n",
       "3  [{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...   \n",
       "4        [{\"name\": \"Walt Disney Pictures\", \"id\": 2}]   \n",
       "\n",
       "                                production_countries release_date     revenue  \\\n",
       "0  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2009-12-10  2787965087   \n",
       "1  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2007-05-19   961000000   \n",
       "2  [{\"iso_3166_1\": \"GB\", \"name\": \"United Kingdom\"...   2015-10-26   880674609   \n",
       "3  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2012-07-16  1084939099   \n",
       "4  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2012-03-07   284139100   \n",
       "\n",
       "   runtime                                   spoken_languages    status  \\\n",
       "0    162.0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...  Released   \n",
       "1    169.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
       "2    148.0  [{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...  Released   \n",
       "3    165.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
       "4    132.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
       "\n",
       "                                          tagline  \\\n",
       "0                     Enter the World of Pandora.   \n",
       "1  At the end of the world, the adventure begins.   \n",
       "2                           A Plan No One Escapes   \n",
       "3                                 The Legend Ends   \n",
       "4            Lost in our world, found in another.   \n",
       "\n",
       "                                      title  vote_average  vote_count  \n",
       "0                                    Avatar           7.2       11800  \n",
       "1  Pirates of the Caribbean: At World's End           6.9        4500  \n",
       "2                                   Spectre           6.3        4466  \n",
       "3                     The Dark Knight Rises           7.6        9106  \n",
       "4                               John Carter           6.1        2124  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Credits: (4803, 4)\n",
      "Movies Dataframe: (4803, 20)\n"
     ]
    }
   ],
   "source": [
    "print(\"Credits:\",credits.shape)\n",
    "print(\"Movies Dataframe:\",movies_df.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Merging the credits and movies dataframes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>genres</th>\n",
       "      <th>homepage</th>\n",
       "      <th>id</th>\n",
       "      <th>keywords</th>\n",
       "      <th>original_language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>...</th>\n",
       "      <th>runtime</th>\n",
       "      <th>spoken_languages</th>\n",
       "      <th>status</th>\n",
       "      <th>tagline</th>\n",
       "      <th>title_x</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>title_y</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>237000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://www.avatarmovie.com/</td>\n",
       "      <td>19995</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
       "      <td>...</td>\n",
       "      <td>162.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...</td>\n",
       "      <td>Released</td>\n",
       "      <td>Enter the World of Pandora.</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
       "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>300000000</td>\n",
       "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
       "      <td>http://disney.go.com/disneypictures/pirates/</td>\n",
       "      <td>285</td>\n",
       "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
       "      <td>en</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
       "      <td>...</td>\n",
       "      <td>169.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>At the end of the world, the adventure begins.</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4500</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>245000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://www.sonypictures.com/movies/spectre/</td>\n",
       "      <td>206647</td>\n",
       "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
       "      <td>en</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>107.376788</td>\n",
       "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...</td>\n",
       "      <td>...</td>\n",
       "      <td>148.0</td>\n",
       "      <td>[{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...</td>\n",
       "      <td>Released</td>\n",
       "      <td>A Plan No One Escapes</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4466</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
       "      <td>[{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>250000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
       "      <td>http://www.thedarkknightrises.com/</td>\n",
       "      <td>49026</td>\n",
       "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
       "      <td>en</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>Following the death of District Attorney Harve...</td>\n",
       "      <td>112.312950</td>\n",
       "      <td>[{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...</td>\n",
       "      <td>...</td>\n",
       "      <td>165.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>The Legend Ends</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>7.6</td>\n",
       "      <td>9106</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>260000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://movies.disney.com/john-carter</td>\n",
       "      <td>49529</td>\n",
       "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>John Carter is a war-weary, former military ca...</td>\n",
       "      <td>43.926995</td>\n",
       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}]</td>\n",
       "      <td>...</td>\n",
       "      <td>132.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>Lost in our world, found in another.</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2124</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
       "      <td>[{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget                                             genres  \\\n",
       "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "1  300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
       "2  245000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "3  250000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   \n",
       "4  260000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "\n",
       "                                       homepage      id  \\\n",
       "0                   http://www.avatarmovie.com/   19995   \n",
       "1  http://disney.go.com/disneypictures/pirates/     285   \n",
       "2   http://www.sonypictures.com/movies/spectre/  206647   \n",
       "3            http://www.thedarkknightrises.com/   49026   \n",
       "4          http://movies.disney.com/john-carter   49529   \n",
       "\n",
       "                                            keywords original_language  \\\n",
       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...                en   \n",
       "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...                en   \n",
       "2  [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...                en   \n",
       "3  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...                en   \n",
       "4  [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...                en   \n",
       "\n",
       "                             original_title  \\\n",
       "0                                    Avatar   \n",
       "1  Pirates of the Caribbean: At World's End   \n",
       "2                                   Spectre   \n",
       "3                     The Dark Knight Rises   \n",
       "4                               John Carter   \n",
       "\n",
       "                                            overview  popularity  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
       "2  A cryptic message from Bond’s past sends him o...  107.376788   \n",
       "3  Following the death of District Attorney Harve...  112.312950   \n",
       "4  John Carter is a war-weary, former military ca...   43.926995   \n",
       "\n",
       "                                production_companies  ... runtime  \\\n",
       "0  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...  ...   162.0   \n",
       "1  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...  ...   169.0   \n",
       "2  [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...  ...   148.0   \n",
       "3  [{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...  ...   165.0   \n",
       "4        [{\"name\": \"Walt Disney Pictures\", \"id\": 2}]  ...   132.0   \n",
       "\n",
       "                                    spoken_languages    status  \\\n",
       "0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...  Released   \n",
       "1           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
       "2  [{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...  Released   \n",
       "3           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
       "4           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
       "\n",
       "                                          tagline  \\\n",
       "0                     Enter the World of Pandora.   \n",
       "1  At the end of the world, the adventure begins.   \n",
       "2                           A Plan No One Escapes   \n",
       "3                                 The Legend Ends   \n",
       "4            Lost in our world, found in another.   \n",
       "\n",
       "                                    title_x vote_average vote_count  \\\n",
       "0                                    Avatar          7.2      11800   \n",
       "1  Pirates of the Caribbean: At World's End          6.9       4500   \n",
       "2                                   Spectre          6.3       4466   \n",
       "3                     The Dark Knight Rises          7.6       9106   \n",
       "4                               John Carter          6.1       2124   \n",
       "\n",
       "                                    title_y  \\\n",
       "0                                    Avatar   \n",
       "1  Pirates of the Caribbean: At World's End   \n",
       "2                                   Spectre   \n",
       "3                     The Dark Knight Rises   \n",
       "4                               John Carter   \n",
       "\n",
       "                                                cast  \\\n",
       "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
       "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
       "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
       "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
       "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
       "\n",
       "                                                crew  \n",
       "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
       "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  \n",
       "2  [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...  \n",
       "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...  \n",
       "4  [{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "credits_column_renamed = credits.rename(index=str, columns={\"movie_id\": \"id\"})\n",
    "movies_df_merge = movies_df.merge(credits_column_renamed, on='id')\n",
    "movies_df_merge.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dropping the unnecessary columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>genres</th>\n",
       "      <th>id</th>\n",
       "      <th>keywords</th>\n",
       "      <th>original_language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>spoken_languages</th>\n",
       "      <th>tagline</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>237000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>19995</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
       "      <td>2009-12-10</td>\n",
       "      <td>2787965087</td>\n",
       "      <td>162.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...</td>\n",
       "      <td>Enter the World of Pandora.</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</td>\n",
       "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
       "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>300000000</td>\n",
       "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
       "      <td>285</td>\n",
       "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
       "      <td>en</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
       "      <td>2007-05-19</td>\n",
       "      <td>961000000</td>\n",
       "      <td>169.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>At the end of the world, the adventure begins.</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4500</td>\n",
       "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>245000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>206647</td>\n",
       "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
       "      <td>en</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>107.376788</td>\n",
       "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...</td>\n",
       "      <td>2015-10-26</td>\n",
       "      <td>880674609</td>\n",
       "      <td>148.0</td>\n",
       "      <td>[{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...</td>\n",
       "      <td>A Plan No One Escapes</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4466</td>\n",
       "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
       "      <td>[{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>250000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
       "      <td>49026</td>\n",
       "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
       "      <td>en</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>Following the death of District Attorney Harve...</td>\n",
       "      <td>112.312950</td>\n",
       "      <td>[{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...</td>\n",
       "      <td>2012-07-16</td>\n",
       "      <td>1084939099</td>\n",
       "      <td>165.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>The Legend Ends</td>\n",
       "      <td>7.6</td>\n",
       "      <td>9106</td>\n",
       "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>260000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>49529</td>\n",
       "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>John Carter is a war-weary, former military ca...</td>\n",
       "      <td>43.926995</td>\n",
       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}]</td>\n",
       "      <td>2012-03-07</td>\n",
       "      <td>284139100</td>\n",
       "      <td>132.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Lost in our world, found in another.</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2124</td>\n",
       "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
       "      <td>[{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget                                             genres      id  \\\n",
       "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   19995   \n",
       "1  300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...     285   \n",
       "2  245000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...  206647   \n",
       "3  250000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   49026   \n",
       "4  260000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   49529   \n",
       "\n",
       "                                            keywords original_language  \\\n",
       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...                en   \n",
       "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...                en   \n",
       "2  [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...                en   \n",
       "3  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...                en   \n",
       "4  [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...                en   \n",
       "\n",
       "                             original_title  \\\n",
       "0                                    Avatar   \n",
       "1  Pirates of the Caribbean: At World's End   \n",
       "2                                   Spectre   \n",
       "3                     The Dark Knight Rises   \n",
       "4                               John Carter   \n",
       "\n",
       "                                            overview  popularity  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
       "2  A cryptic message from Bond’s past sends him o...  107.376788   \n",
       "3  Following the death of District Attorney Harve...  112.312950   \n",
       "4  John Carter is a war-weary, former military ca...   43.926995   \n",
       "\n",
       "                                production_companies release_date     revenue  \\\n",
       "0  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...   2009-12-10  2787965087   \n",
       "1  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...   2007-05-19   961000000   \n",
       "2  [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...   2015-10-26   880674609   \n",
       "3  [{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...   2012-07-16  1084939099   \n",
       "4        [{\"name\": \"Walt Disney Pictures\", \"id\": 2}]   2012-03-07   284139100   \n",
       "\n",
       "   runtime                                   spoken_languages  \\\n",
       "0    162.0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...   \n",
       "1    169.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "2    148.0  [{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...   \n",
       "3    165.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "4    132.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "\n",
       "                                          tagline  vote_average  vote_count  \\\n",
       "0                     Enter the World of Pandora.           7.2       11800   \n",
       "1  At the end of the world, the adventure begins.           6.9        4500   \n",
       "2                           A Plan No One Escapes           6.3        4466   \n",
       "3                                 The Legend Ends           7.6        9106   \n",
       "4            Lost in our world, found in another.           6.1        2124   \n",
       "\n",
       "                                                cast  \\\n",
       "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
       "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
       "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
       "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
       "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
       "\n",
       "                                                crew  \n",
       "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...  \n",
       "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...  \n",
       "2  [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...  \n",
       "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...  \n",
       "4  [{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies_cleaned_df = movies_df_merge.drop(columns=['homepage', 'title_x', 'title_y', 'status','production_countries'])\n",
    "movies_cleaned_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 4803 entries, 0 to 4802\n",
      "Data columns (total 18 columns):\n",
      " #   Column                Non-Null Count  Dtype  \n",
      "---  ------                --------------  -----  \n",
      " 0   budget                4803 non-null   int64  \n",
      " 1   genres                4803 non-null   object \n",
      " 2   id                    4803 non-null   int64  \n",
      " 3   keywords              4803 non-null   object \n",
      " 4   original_language     4803 non-null   object \n",
      " 5   original_title        4803 non-null   object \n",
      " 6   overview              4800 non-null   object \n",
      " 7   popularity            4803 non-null   float64\n",
      " 8   production_companies  4803 non-null   object \n",
      " 9   release_date          4802 non-null   object \n",
      " 10  revenue               4803 non-null   int64  \n",
      " 11  runtime               4801 non-null   float64\n",
      " 12  spoken_languages      4803 non-null   object \n",
      " 13  tagline               3959 non-null   object \n",
      " 14  vote_average          4803 non-null   float64\n",
      " 15  vote_count            4803 non-null   int64  \n",
      " 16  cast                  4803 non-null   object \n",
      " 17  crew                  4803 non-null   object \n",
      "dtypes: float64(3), int64(4), object(11)\n",
      "memory usage: 712.9+ KB\n"
     ]
    }
   ],
   "source": [
    "movies_cleaned_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using Weighted average for each movie's  Average Rating"
   ]
  },
  {
   "attachments": {
    "image.png": {
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H42g4YQezvJUISASKOQKSwTyEDlKXnk6dOoWWLVuKGnhC//3334W0wRKMylz4JT9/8803t1DCSnuOmzx58i3x6oPKXNRnZjgsoaj1cTzrYnjjqhrmzJkjnIXWr18fK1euFI4r2RWOPS1qWnmVCEgEJAL3i4DUwdwvgnfIz5IMSy08+R8/flycxMlHCBQVePmLXeXk5uaK69WrV4VfNo5jyYOv/Mdl2QdmDhz4cDZmVKq3A44/ePCgYCJqemY4jRo1EstufPwBL+UxM2TmJ4NEQCIgEXjQCEgG86ARBQpMkD/66CMxefN+ls2bNwvdByvvi5IYeAmMGZL6x8+F4/hd4WUtlcGwUQEzD5ZsmGEww4qKikKfPn0KWsjWbGwqzXohNlXm8iRzKYBH3kgEJAIPGAHpKuYBA3q/xamWYWzmzKdszp07V0guzAxkkAhIBCQCjxMCUoJ5yL3FEob6dy9VqRIFHzWgSh+FpZaiyimqDlUXpKZX0/BVBomAREAi8LARkBLMw0ZYli8RkAhIBP6lCEgJpph2PEsZhRX6xZRUSZZEQCIgESgSASnBFAmLjJQISAQkAhKB+0VASjD3i6DMLxGQCEgEJAJFIiAZTJGwyEiJgERAIiARuF8EJIO5XwRlfomAREAiIBEoEoH/AYMhWPlESqtiGluUiWxRcbdRK01rb4NERkgEJAISgeKMwANhMMTH89pcmJDVApPZAgLBIo4MzsOqOZ9j2sI/xO5yKx/ja2M24DQmM6xEwlmjxcZErBaTKENlSlaLksdiNosyGVDisk1myB0dxXl4SdokAhKBfzMCD4TBaPh4Xp1O4KjR6mDQ6yC8W4kjgx2xZ+MO7I7NFq5PdAYD9FrF9xVBA51BD53taGGdRgPmMVqdQZSh43TiWQ+9TgudXknLcRrOY9Ar9fybe1C2XSIgEZAIFFME7ovBWE2K48Vj0z7A4JHfIBfAvuWT0GnYWCRDg9SjyzB06Fg4hZTCxp9Ho1m7+qhWrSFGLD0k4NCYEjClY1tUrRKDmo16Y96hFGg0GVgwthe69u+HWv0/QJwF2PLNy6hRtSqq1aiPKQv3gbnK1S0LMOSpETiUwUWRkIKKKcaSLImAREAi8K9E4L4YDDTKiYj+0RqsXrUZpxPzcX7LTCz/dhm2XAIu/jEbeykAAcbrSLjhiv5jZuDt3lGY9fYIXAThl6e64/OMGPyyZTM+aWTAiP5vIzaNcHLdAmw7dB7vvv4cMhe/gYFfXMTnS//E4o87YNrLr2LduVw4+bjBvbQnDHKN7F85cGWjJQISgeKPwH0xGK1OBzMBnk37IMYxEydi9+HKxSQElHRDys592PrLWQwb0BDJSY7oNuhF9K0bjeatWqCB1gqNJQXfxZ9C2UDCztXrcd7LAflH9+LAgXNwLx+DN2eswhPR3tg6dwUSfT0Rt20V9lxwQErOTqzZewKeke3x6RfvIsqdQdZAK13OF//RJimUCEgE/lUI3N+BY3z6oskKGILRu84lfDFmNEJdRmPmxyZ8//GLOJgXhi0xZTD7Jz10Rq1w+piRmY1snQFkNsFs0EGfHo8NqxNhdHBAz5G9UDHAEVuzNQgu4wyiLKScBfxKpmDXH2tgNjjj6V4j0TKqzL+qk2RjJQISAYnA44jAfUkwQnLQKctkzbt1wNZtf2J79cZo3Toahw7tRELIE/B1cofJlCesv9hTMAsaltxskNELNU065FXvj5nff4/Pu9fGhdPpcHBygcXKVmR8EJYLGrb1h1ZXEzNmzsL3U55A3uVjcHL3QM61A/hpzjJczWbY2WPx4wi/pFkiIBGQCPz/InCfDAbQaLTCVLhkjc5oUzECA58oA/Ktjuj6YejXIVRM/AZHD7g4uQoUjXoXBHs6IR1GjJ37Hdy/eQ7hkZEI7TkZQa1bItDXAXq9MxyMCmmNJk5HJ7cpCAqPRFj5XkgLbobKvnokHNiELz79HvF5SuewqbMMEgGJgERAIlB8EHiwzi55krfpQuxuxdIYSzsFahI+I4WlGcYhPw3nr6TCo2RpeLkoh2qRlaCxmTIrUJlwJf4SNC6+KO3jIqI4Df9jc2V54G/xGVCSEomAREAioCLwYBmMWuo9XnkHv3rAlshiz5XUMm6LY0lFshQVHnmVCEgEJALFFYH7XiK7n4apzKXAVUyBiGNXqhrHjEYEyVzs0JG3EgGJgESg2CLwSCWYYouKJEwiIBGQCEgE7huBRyrB3Df1sgCJgERAIiARKLYISAZTbLtGEiYRkAhIBB5vBCSDebz7T1IvEZAISASKLQKSwRTbrpGESQQkAhKBxxsByWAe7/6T1EsEJAISgWKLgGQwxbZrJGESAYmARODxRuD+nF0+wLZbbCdicpG8P0arVZxjWq2KrzOO5zj7vTPqO/v4B0iSLEoiIBGQCEgE7gMBuQ/mPsD7J1n5qGdomFH+k9x/nYfIVu5fJiFw1dpbXPD8ZWL5QiIgEZAI3DcCj3SJTJVAzp8/j+bNmyMqKgoNGjTAf/7zH9GwAwcOoHv37oiOjkZMTAzmzZtX0OCFCxeicuXKqFOnDn7//feC+GJxozodKIIY4TvtATMXroadjt65WJYK75yiCHJllERAIiAR+McIPHIJxmw2i6WvlStXomPHjvjll1/Qtm1bODg4gBnQ2bNnERkZiXHjxmHUqFEircFgwI0bNzBx4kS0b98e9evXh16vF+/uhoTq/2zXoi9w1Fwfg3rWYG//OPzzj9ic6o0BQ9uD3Wle3b8UCzdYMeD1LnAxm9mtJoQIoDfCoE3BD59OR6kWvdGmSjDM+fksGsBqsYA0ehgtCVg4+3f41+6COlGe4jgBvcEAWEy4dvYM9H5l4e3hApjNUBYA2W2nDga9wu8t5nyYSQMNJWP5j0tRqmFHNIwoDbJaoNHqkHx8I2Yu34DruUa464D0bCvCazZEr47N4awjmE1MB3ts42MMtDAYtDBlp+JUvAkVwl2w8vsvkR3SHD2bxiA/Lw/Q6aAVXrE10Ot1Ih/3C3vnUT2/Mf2SPd1tdMn3EgGJgD0Cj1SCYUJUfUu5cuXg7u6OrKwsODk5CQ/MzDTS0tIEs2E9CzMdNcTGxqJ27dpo2rTp7cyFeDnIWujPJlbwUhKAtOOL8M6bs5HC078mDZPfeBnDh72MU+lKDVs/eR9TZx6BzsqTrgEGvR4GIzMXLkeLfNyA1ZIDK7838hEDBhgdHOFg1EOD85j/7VwcuuwNo1EPo9EArYWg1RvwRadW+PVELrSwQqvXC9qV8rWwctFkhU5vhIPBAKPRF4vmLMDGg5cEUWQxi2vmyeX44NPFOJ2WhqyMLFy5eAzjn2mB13/YCeZYeoNe0CvKNehgJQ0MpkNo3uIt5OlcoEUyzJZMsVRndHSC0WAUdBiYuTB2ZGsz02AwgBm6ZC7KuJD/SwQkAveOwCNX8qtKey8vL5QoUQIXLlwQ1HN8bm4uNm3ahJycHKSmpop4Zjr5+fnYtWsXBgwYADYOYOZzS2Ajgb9QcvBSEodaXV9Gifkf4XgOUC9lC3YGRCPSOxY/7riOmNZO+PlkKp58vz1ctRn48cM3sGjzeXgE1MG7n45FuIcOniXrwcu1NLTaDMx+fzh+2ZMOD39flPRuhrGjqiIoFJj/VW/s+CEDlhJR+Oybj3Hmhw/xy/VMeH7wKuov/wEl1szBGzN+xnVyQ8Mh7+CN9lGCee1fMhrjZ8fBtYQDDsab0MKTpSDBjcWF9BoE1n8TSz7rr8QD+HN8JfRcsAvTB9XBmm8+wLcrdiDH4IFG7UbjjSGl8P6Yz5CXvQ1jx1dDk5rNUMotCHkpR/HOh19DZ0zG0YPZ8GsxCJ+80gElkIH5k8dj0aY4eFZtgoZOQPMRryDIaIWVtJArbQWwyxuJgETgDggUmpnvkPIhv2Lpxc3NDYmJiaImZhrLly9Hs2bN4Ofnh+TkZBHPjGfJkiVCevHx8RESkMqk1GMtsy4fxerfV2Dlb78L/cxvK1di9dptSGXhxfYp7lEmElUSErHlHHBt6WKE1OiI1wb2wpYf/wRwDMevl0WTqAD8Omk4PluZhxGjXkPZpKXo22sagDx8/eEn2Hj4LNZPaYcx38bjqSG9QYtmYfKH3yNT7wN9whHEX8tE597PQHN0BV569VcEV6sPLw0htEETOGxZhqd7fwSXDs9j5JOR+K5vX0w6QDDteQM9ByxAVJseqOpxA+cuHIXeSTkDR6xXiSa4IOfwHmw7ehwnYo9i/+ZfMf3nRDw1rDUyV87Ci2NWIub51zCiaSDmjhqOZQkuaFErGmZNGTSoG4ql0yZh/obj0GbFYtIn0/HbjYp4tmdNzJnwPH4/eg3rvhmNl2dswZP9BsD5wGyM+PxLXBfCk1Ul4SGPBlm8REAi8P+AQLGQYFgvwgzGw8MDFy9eFLiePn1aSCpVq1YVEkpmZqZY8kpPTxfMpkePHmIZzV56EQeQQYO0+P34cMJU5JhYEcG6E4KLZzvMaVofnlqxigStR3nEdAjD0VV7sOJkImKq9EKj2sGYMn8Jjm+JgkNkCMo5ZeCjmb/Bp9c3CC8XhKwOLfHxiC9xOqcXgoPKwCH3DOb/cB2jFu9B79pu6LF1DvZ2XwVN7gUku9bC8BHfo3tHH5RMPoThs/ej7Kfj0KC0L+o++QSOrXkdB8sEY3TtaIRAh+r+P2LL4t/gcWMnKgyYgPHDugOoi827BiBFMFf/AuaoN7gjM3kGBvbYBF68IlM6Tp7MwE8xgXAt6YHpc8rCpXRJpJzVQO+QgrRsZ3R6shlKvBePts1bY8/3M5Hv5YLc/CyERHXBr1+NRjlY8PyUhci9dBAbVh5Hlz4zMaBLJLpGaHGx54dCp1NAwP/DyJdtkAhIBB46AsWCwZhMJrHO7+npCbYo46WxY8eOCesxlk6YiTBj4evMmTPRt2/fIoFRJZkSEU3x0X8ioDUAGlZU6wlWsxe8dZxNY9NcO6Nmi3ZYNnksDrqXwsh+1REafBXtaBJGvH8aVZsMQimHbNyIy8e1jV+jx+pMOLr7oXu3fnA35CPfQjDlZiLfUBJRFdyQl5MPh1Je0OgBK+tKdM7QWAlWixXpuVY4OenBp3Cmw4rs5GvI1WjhmHsKX7zUB2lWHTxCaqBrS2+cnKxBtacDQKZcWA0aODk6CuMB+wab8q/Cs84oHFz9GpzEi2S8UbMW/th+GvViTmHMm29D61QCbo5GWAOd4Gy1wJqZLYwEsizpyLdaYRF/gE7rDncQLNYU5OockJ96Hdmu+YhuUQH5ubnQugch0GxGrj0B8l4iIBGQCNwDAsViiUw1V3Z2dhZSS3x8PFiCqVatmmgCL4W5uroKi7IyZcrAxcVFSC8qQ1HbyRM4h8TDq/HuuHcxYeKH+PDDDzFh4jiM/+gHJOTbUtoOL6tVtyIsh1fjnKM76lT1BrzDEdTSE2vWH0ZUVEP4+pZFaDk3NBg8H9u2bceaT5vCz8UZvnpHmC0WOHv5wR9x+ObzPXBwMuK3qT8h8WoujA4GaKwmwGKGVqeFlheWWJjSapCfQ4B7aZTXGIAStbHwj83Y8ucfaFW2FPQeUagfloN5U9chx+AI3eWjOHv2NJxcXdUmKldmumYWzAjElmhUAiGhOpitaVgwexZSInpjx/btWPvFEDjl5kDvrIOW8mHWWmDQucCg4ZNEmSReL7TCAg10TJvJBA//MJTQZGHZrNkwOjri8G/vY6WV4H4rBfJJIiARkAjcFYFHLsEwhSqjYOuxS5cuYevWreAlMFbg63Q6BAcH4/Llyzh48CBq1aoFZkTMlNR8ait5jwkH/9o9MH9hJ2jBIgtLLBZAq4ObzQhNo1EW05yDIhEV6QW3yGiEOrGoY0StoBjA4QYCosJBRgOe/WIA+j8bgYZfReDCgV1o++7vIJiQmWlCri4Eo36cgr7dB6DxJjeYL+2EVd8HFrMWuUYt8p0UhY/ZZEUOMxYANaOzMW5ANyz6+Uf0XdId4VXro5wpEelr+XMAACAASURBVMcNDbDsDRc0HP0h5tTqidp1t6N8iSTsvmZEP4vNm4FSBMisQZbeIpb/lH01BN/A8lg3cwcGTnwSs3q/jQYN1sJcwhdZORfx/bSZaPdWDTid/h0vvfgGDHp3OOSwpZ0JWVnqN4YOLpkpSLGUxHPvTsT2Qa+jfpNZsFzYjFz3OlL3InpP/icRkAj8HQQe+T4YJpatwoxGI1588UVMnz5d7IXp0qWLYCK8LPbSSy+J+N9++w1t2rQB79Fga7L7D1akJiXConeHt6ezKM6alY5LqXnw8S8JEaMhJJw7hCMnE+ETGIOqkb4ATLh+LQ1GNyec3rEa14x+CPHzRW78AnQebsWeo+8A6enQu3jBw0GLnIxUpOVoUcrXHab0izh2NhnBMVXgkX0Nu/ccQabeC5VrVYePQWlRfvo57NpzBq5lysHX0wfuro5wc3GAMGLQaGDOSUNilgalfdyFDMK5OO7aDSsCyrjjwrEDiLuagaBKNeBnScDlTCMiwoKQePoEUixGlCxZAjq9EzycLUhIzIOfvxd0sCLtagI0nh6IP7gDJ9PdEF3OC2mHVuCVN37Bl8e2o6qDGRbooZM2y/c/9GQJEoF/AQLFisEMHToUu3fvBu/gVyUUllJGjBiBHTt2YNu2bQUmyYWll1v6Suzl4M99jVgKYiMCvvkr0+Vb8hZ6sGW9GWtzyaJGLBkdjXfXe2L4sKfxzdRZqD70M8wY1kR9fYerQp99Al7hU5bTHuUMTlg+dShem3cRLz/fGZtGTYVDp/9g7tdtYTXz3h1V4rGnXN5LBCQCEoHbESgWDEZdCmMJJTQ0FBUqVLiFUt4Lw1ILu5NR096S4D4eBPOxMSKlGN79fnPZjuOUNMpblbGpTEsDK/auW4Qla/Ygpt1APNWM97LY8mgULQdbFRSUyXoTdVnQdm8rWTDDgrxKpPhfrfNmlF15aqRdufb0qq+5jFvjbzJftXzhJ40dioJw/M9FWLB2D8o27IkhbRVdmFqWvEoEJAISgXtBoFgwmHshtLim4UlbnaCZRrbO0hXe+Flcif8Lugq3icxWaKTk8hdoyWiJgETgrxB4EIqMvyr7b8ezdMKTtf3eFi6E4zmwwr+4BbbGsljMwhxZo9NDr3v8l5DE1iGLGRYrM08tdPrih3txGweSHomAROB2BKQEczsmMkYiIBGQCEgEHgACxUqCUdvDEou6N8Z++YmXbth6zD5OzfN/cSXe8GiFVqsr0Mf8/Xax+TFBmC///cwPNIc4owYP/uybB0rk3yyMxyDr0P6JwUjhqtQxXlhiL5zufp6ZXtXY5X7KuVveu9XDY4Hof3VkxIP5DRSc3QR2AMs43gzieIx7tMX5J78DMc6IblvNuUnB43H3WEowDP7/LZN5PMaNpLLYI6AwFpXMB/GbKbqMe6nn1jQqTQ//+qjqffgte1xqKHYSDH/VTZgwQXhLZlf9ERERYhc/u/FPSkrC22+/jerVqxe5k/9uoHPZijUXDzzFKzBLDHzGCnsI5i8NPvVRp9OCWIpiZQQzMy2nZSss9iasuJ8RmzrJAitboCmFFnxt8JeP8sXDnzj8FaJIJKJ+JlJ8mdyUUviHyyEn6SR+XrgVMV2fRkwpFyHNMCPl1+wRQHGlr3wJslcA9SuayxVfwfyVmHkN2w9fRPmKMfB15e4laHV8xgufBGBVzp8RDFp72wFkfN6MzRmCsonTRqsQpzQKXipGDA0HrlcpV/EGwMQyPTClYu++Y/ANr4ngkg6wmPksGz4GWz36Wsmv/q9gxtUqm2C5XK7CamX9m9IPfOaO2mY13219WsjVcwG9Nm8KfJoolyFohPJFzWnY+pwxVvV9XKViA6hMUkwfH6+QFLcfxzM9UC8m2OZVWtUZKu0W5wbZ9S/TL7rXpltUYOMvYgv2r/4Fx7ID0KNLPejNFlh5HHIboYzDgmbb+p7HKgf148p++hT9r4Ki2CkC5mzEn78Mg1dZ+Hs7CjrUfuM2q57FleFnG9uKfHbb2CioNz8P6XkEVzdHaFWT/TvVoxyjipTDG7AjIwBt64aL3xH//gQWtq7leyF18434HSreLxhPdSzcMkZYGhK4sNsj7islPZdrzrmGTasPoGbXtvCw0ajgXgDQXW4UZI+uX4Ls8JYI113E3sPxsPDvyGqBReeC6Gp1EejNG9du9ruYB8QYFWiJOsiSg9h9u0G+VVApyB1mPrZDNFahSOk3xaUU18reSBiH66cP4sQVKxo0rQHdP2rDXZr4v3pNxShYrVZBzdWrV6lVq1ZUo0YNOnfuHF24cIEuXrxI06ZNI09PT9q5c6dIp6Ynq5UsFkuhP6UstXkFadWIW663piWz+Za3/GAplOS2BBxhJbJaLUW+spgLx1s5uciUb3s1ZVQn8qvxDB1JNtne3SzKelt+Ja9F5M2nDxrVopUXiSjlF2oY2ZnWHr2Zl/Epiq57apNdMaKBtzyTwFyN4vZYFYKIzNtoZIdW9OPyG2QpDKfVUqh9RYHLNKsl37zaRxXVp0XluZn7Pu+sVlrTvTVFvfHTLQVZLTz+7Cnj14WfbVnU8ZGwhkr6BtPoeVtvKYsfCo8UKrLvb82mtttiAzvr/FZq1zCKIiIjKTS6En296bTIYDabSRlvJnp36Gj6eOHJWwuyPd3aHivl5+VTWtJ1mjS0E/V+Zwbl2tJlnttCbRvY1bP5jFIPjwOrhfLN/KNIoCdaVKbPVx0ssq5bInms3hLBxXDMbagUGcVZLfnXaeKIttT/+yPK78t0My+PmTvOFbb+yTm7hIIq16ZL+Raa81I3cvHwodAnnqAOjRpTzXKB5OHTgJYcTLLRZk9wvqD/4sLh9Nwn84kok74c2oDenRRnn6jgXtBTuMFEZI5fR0/06k5z9qaLNphvG18FRRTrG904PiqyGAXli50wevRovPzyy2jVqpXwsszellmamT9/PviwsV69ehV8yfEXNucr/GffLH6Xen4v5sxdgD93HYPRNwS+2mSs33QA+qBgeOqAzOR4/LlrHwLKhyDn0FbMXrgEe04kwD04DD5OGiRfiMXBxGScWLkGac4R8M7bh1mzF2LTrhOwunoi0NdL0JAWfxg//bQY+2+YYL18AeRVCh5OepzcuwELfl6G2PMpCA4Ph5NOOSSTabt6ZhM+nrQIpSLqoscT9eCuS8PaebOxaPUWXNWXRHSgN3ITz+Pk+ZPYsWMvtt/QomqgD++wQezWX/DptB9ww7si6oQ649dNO5CnsSL+0J84nWxBWGgg9BoNMq4ewrwff8K2w+dQokx5eLsaxRcYf8EKGmJ3YufVi9i4eDmOJpng4ZSJVT8txO7jifAsHw5PowbIuoqFs3/Eb3/sQr6jL8r7l8Dloztw8rIDAkq5QKO14uKWvThH/qjRsB7KR5WFt6sOR5ctwLyVG3Auw4DQ0AAY+HONg/iQ08CcfArz5szF+k37kK0vicAAL+g0Vpw9sBFz5/6MHccuonx0JbBQpn65M83JZ3djztyfsGn3MRhKlEOAt+L+UyncioSzh3Hg7DUcXb8Ya3adhF9oBDwdNTh+6DBu5Brg4+mMjMTzOBwbj5KlPbF321bEn9uNFSs2I0PnDP31I5j78yqcTjIhIjwQVw7Pwq5rbnDMuYD1G3bBUNIfAd5uAr9zB9Zg3oIVOHohE8ERIXDSWHD8yH7EnT+OHVu2wVqqAvxc9IApCQtmzcDqHbl47sUeKGVNwon4eGzdsAmnnUIR4Z6EXxfMxvLV23HD7I4K5XxByeewZfd+7N2+ERt3HoODuzdO7l+DZau3IEtbFuUDXMVgskAHLbIw4aUhWEdtEbttMWrQEYx+5zu0eHYAfHUWlmlxOW4TPv98Ek4n5qJ126bQ3TiB2T/8iPW7j8O9VHmU8rLhKMDWIP38Rox78U2Mn78CYW27oFuDGOisGRg//Fls0LZD7NZFqG45jLfHzESLIf3hqzfDZAb4ELv9Pz6HHzMqYvxz/ZBzfhe27j6ETetW4+gVwMM1D8vmzcaOk2kIDCoHV0ctNDnXsW7BPKzYsAvJLgEIL8We8DQwXTuGxT8twNpNB5AGI0IC/ZB7+Sh2nEvGhV3LsGTdfuh8SqGMjx9KIRFzvp+K6t36obTeAottxYLHTFF/ynhhyZJrysGUt55ESpuv8ULdIOyY9xUSwgZjzy9T0WdAfwx5+QUcWv4xNpsi0bdpBM4fWIe5C5di56HTcPOvDF/jdfwy7SPM3HIFYfUaoV6dBgipUQF+5rPYfPI6Lu9dgUWr9gBeJVHWxxMajQWH/1yMRSu24GLqDVy5aEJgTG047pmFhSev48mmDeCgsYLueiy60opi9X9xYn/8ZcEhLi5OSItLly4VXxsZGRkifu3atSL+p5+UL0j1CzY/8wYlXkugxMRE8XctIYGuJyVSHueyfdqlnN9AVUPdqUXvITS0Z2sq17gXHd63mqq7hNLIJVdEspWf9yWPqGfp6oGN1MajPDXrO5C614ihcs3fpGO5RLHf9iGU96HKtQfR4u9mUOdyblS302Aa+kwtqlCzMW29aKW8a1upee2yVL9Lf+rQqSU5AjQnNo2ObvuBgqMj6OmBg6hZrVBqPnIyJVuIzBaz+DY7vOVbCgsoScGV2tLBq5dpSs825FGpDQ0Z0ou8HSvQm2vjKXv/LKrjDnKKrEcD5u+3fSVb6LfPR5OfqzPVe2YUnTp3grpHgVyDqtCgQd0pLCicJv96mfJTdtPTNSpSk64DqWerClSt9ot08rpJfGWa800C3wX9AgnOEdS1Xy/yj6xAZao1pZ7PPEOVQ/2pybi5RJY0GvFUJQqu35GGDOlGpUMr0bzd5+jXiV3IK3ow5fC3W2YsNfX2ofGLFtLTLRvThDVJFDf9DSrrUpEGDhpEMV5h1HnSesoXXWNRuifzNHWo40eV2/SiIUN7kn94bVp1JpnSz2+ktlUrULcXnqOudf2pcrv+lMT5bF/pN86soSohbtT6mSE0tEcrCq7VmY6nKW1RRpKFFr7dhOAXRIMHDaTWlb2pdpepZKYcGtCyOfV/b4Vo96GF46huZEu6mnuWynmCEB1D/Xo+QZFh/lS7UTN6ptcTFBzgQF/uyqC47zqRAaDo1n2pf6caFBTRkHZeSqNz276hOiGR1GvQIGocWoqeHLyAiPLp1Z4xBBioQZc+tP58hjIec07TK/2akZNTSRo9aw0dnPM8BRhBZRr0oc92HqLZwypR+Yh2NGRIDwr3DqAPlh6jvCOzyBWgwPodqFPNGhRaKopqPdmdej/RkMp5d6aNCfnEoiLjSvmHqG/DFvTBD5dEfeYTW+iZSlXpS5uwYrZaaP+GrynE34/Cq3Wj3Qc3UZdm5alul8E0uGsD8q/eljadTRPYqJJRxtXTtHfHTnq9eyPq9frnSj25++iZBi1o/I+XlXqOb6Y+lavRV6c4q5WyFGJocJdmNPTT5aK8bwaE8CIpde7fl6JRmipGNqQ2fQdSPa8g6vLmCjLlptJXbZpRcEw7GjSwC/l61KSJO1OJsg5Rv8gSVKl+L3p2WHuKiCxD8w/mUOKKlwk+XtT5qZ7Up01FCq3ciw4nWYly9lPPrk3onSU8YojybVJMTnoaJV69Qtdsc0ViYgIlJNywSVoWEsJ2zn4qV74KrT2dKfJ+378Fles0kZRZiCg/+RT1qViBRszZTaf3zKbAAA/qMWQI9WxTnSp2eI0yMuNobL0A8ixdjT5b/Se92bM2Pf1FPNGu90nj407tujxF/TpUo+CIznQoMZsOL+xF5T396ZnB/amc+H56gi5wzccnU3jTQbTtsjKm1b4QRD0m/7Euo9gElWEwYylfvjylpKQU0Hbw4EGKjIykjz76SMQxM1KXY+JWfkIRYaEUFhZG4eHhFBYaSnUaj6YrnNIm8qZfPkQz5ixSmE7ibipTyotWnL1G01/pSE0HTxE/iDHREfTe4nP07aDaFNLpA6XutK1Ur2QkjVl2mc4ve4MCSw+hszx7JW6j775ZRlmc6vL3VC0mkn7cY6bDMweQb7m3lLyZB6lZhTBaejiWRrWvQy1fYJGZKHP3PIp2K08L47kgM2Ur44fe6dOdXp+5hyhxFQV6xNA6UTjRnkmDybfeB3Ru/0/UuloNWhJ7XZQjRH0hXufQ0OgQmsOrIGl/UMOa9eirP1NFmi+GPUVPvrqEdk59mtwbvGFb2jhPNYJK0+sL9inlmBQCFr1Yjbq/tlDEzXquFdXt8J64P7pgFLVoNZDijswj/5An6JiNrrkv1KP6r86gpLObqHrlUJpxhci85QMqEfQS5WYcpN7tu9M3izZSpxAfGvqTskSQ8PMocvHqSodS+KdsWw7JvkDfzvxB6S9KogaR3jRm5X66sGkG+blUoN+4uZYEWvzzPBLTnu2XlnpxP82Y+wsJ6q/uoEB/D/rxULKgmVdmOCx6sztVa/Cx8nByLpXy7UoplE2jej1NL09eK+Jjl0+i9o170rXcs1S7QiV69w9lWaJ/45rU54stIs3U17pS789PUtxXHcmr5QDB6IjyaFidSHrj60X0bscqVHv0GpE2K3Y2ObqG06GUbHpvUE1q3HOiMk64xbbxaDn1C4VW6Cn6I+7bgVSz6VN0MZcoc8vnVLVsDK0Vg5foz6mDqWb94RR3ZD5VjulAR7hdFxZQVIVSNIdXgOgCDalRnj7clS3wFB9VaQeoR+cWNPaXC2K5JvvkOhrQvjrNOs7pLZQlALPQa093pXELjtCp30aRb80RBUtTo1r4U7fp20RbLAJra8Eq3cKR3WjQK58qv6OUPfR05xY0bomtnri11L99dfpB1GOmXB7eljjq26gnjf/uFFnJRFNfaEEtX1Q+EFcPD6VSDUaJek7+pxc1HTKRDm6bRwHuIbT0moim+QMbUanG08mUd57mfj2XLuRwmTupSyNfGrkglTK3jqdAn550XiSPpdpBjWjG1iSyUi690bkXDX1/tXhjylEW9eJ+eZcahodQWHgUVagQQRXCQim07ZsUl8rjUVm6zTk5hyoFv0gHryhruz8/34Xg5EuV6tajmrXqUpVwP4J7O9qfZKGEE5voh2UbRB3XdswhT9+StJeI4j/sTa1e+Ep8ZHwwoBU9N/0yWQ9/QUEenemo6KTz1CK6JX2x+Dd6tqYfvfVzvCgjfu77FFquG502E1nz9lPD0E700+4E8U6dH8XDY/JfsVLys+jKCu+lS5fCwcEBixcvRkJCgjg2mZfIeHksJiZGKGKF4s+msSxT52nMnFXPttyiLLvoDaXhI2RFRZnmbLTg4q/jETV2FAIiyyCH9EijEujapAo+nn4Qa2M3Y0W+Fkva+2DqbwbkHv4BVaMWwGzUwuReAn7OZiSnpMGrRlOU01qRa/bG8d/HIOaTkdCYc5Ggqwwv1xQcPXQQrUctBOVlwepSBe3dvJCZmgEvHwfErfwQlTeOF0pJl0oV4S32j6rK7DRkmgiajAwkJ6XAKbweGjlbkJVlQkTHZii7eBvOn/dGzbpVUS3KBxZLPjR84A2x94AU5PI5M2lZsHhkAi6h8HPjow/MsLiWgJdTAnZuSYHm8gFUi1oG0rsgz+ANb1ebe2mWC/mczmSg/rAasJjMyMnToXqNIJDZhByTE0qUcMW+xatRuW0XhDjmIysLaFQ3HGN/PQenwKfROqgc9v28B377/0CbZ96HgxOQT0BeSgIulXTC6fc7I3ysGY7uDvANqwMLCU2nWO6CXgfroVloHPI+SpYLwLl0Mxpk5KJs2/6Y9NpmvFA5ABoXT/R4axraCxlWrOnBxWjBuaXvI2LMa6JPc7WuID6LpyBYkGuwwKdSHcCSj3Ryhau3I9i9j8XKxhmA2WyB3sEAXs+xEB9cUBrNQ51gMt+AxTUYkd7OMJmsMDjHwDmFYCppQdXGHeFhyUW21RHVI4Jx6nosDu1JQfyZ1xC1KAdw8oBvUDgsyEZGRjBqNG8AZ67TpPpyIySlZwlDg2yzBemXMtGyYzuUcSDsPZ6EStXqoVppM7KyLPCPqotAlz+RkZUKrXs03M1WWMgBtTr1QkBJtqVIgqOvCzwMvBmWwdEABsDBbISjRQ+ryQS91gGaPC3ybLhwu62WVGTlAYb0S9i1cTua950KTX4WsuCClnUDMfLMWQD1Coq0mi1g5+Rpefkw81IpBwNgNBnhYKtHp3OAluuxvRank6cnIsMlB26BvtDAjDyNAzxLhMKSb4Jn1bqoXeFJWE35SNET/LyMSM9MQ5IxFeNbRuONHDMc3HSoUEkDi74kru1ZipaT3wVM+UjK8UNNP0Ju9g04VGwIf5hhsmrh4ucGI/KhIQO0niaYNDmCVDYI4BDYqC8m/9gK+dz/NsMeuJRCWRcdyGoSCvacq2eQX84THi7KBuPs3GxUqdcVUz4ZDBeWv1LiMPDZN7Bu/xm8HJaHTZ+/ivdfyUbZCB84uPogz2JBposJOm0m8sw5wqCDl+is5iToouqhjNECk9UKl1KesKZfRRqiMbhjILKzchHQqhb0E4+KOQJGR8AzG2aLSdD+OP5XLLedr1u3Du3atUO/fv0watQozJgxAxs3bhSHkTEDYgsghRkpVjVX9v+G8eMnYcrUqZg6ZSomT/sEn05ZhGQxcSqz5/rvJ2DOqR44ffYsNnw/FlEuRvAxjX7te6JhVho+fHYYnHuMRzkHJ2gTbiC086s4cCwWR7Ysx4hnn0adSoFw4B37mixYSYPDk1/F95YYbD51Bie2fI0q3m7Qa30QFOKLbb+ugMbBBbqcXViZegNOzlokXDShca8pOBwbi/0bF6J395bwdxezpRjobGmmN+iExZeDiyNyL55DPHRwcXFE3K9rcM0xDD7ORuUANVLc0QjLGeHhgJBrMcLdywU6gx56MsFiNsNo1ENjMYGMvoj00iG42nDEHjuBY4eX4oMX+qNBeBllzNomBK1WD21erijDquPzYfIBvQHQWpGXr0NYg8o4tncjUrVGuLgYcXD7WXh7+cBZ5452T1bH1Xn98dzBQPQawFZ+ZnHGjN7ZFe6puej13UacjIvD5ukfYXCvtghx56HHPzvg3KpPMXZRONafPoNtK2ajoa8vvEs44fKpndDXG4FzVy5j+5xRmDrqKay+JDahCLpXfzsBC+P7iD5d/91ohDno4Op169k5ej0BumyQzggNW4JpNNDzKntuFnJZx6LX4cbxOCQ5OsLISQ1aZOVZhO5ABxPyTBYYDBpo+WyfXEDn5IC4g9uQr3OEsyEHsWfOw+gRjghPFzR7fh6OnTyFI+v+gxF9uqKypyOIvU/k5Is9IGz5pwKu1elhMOig0etg0RlgoHyx/u9VQo+TR08gPkcPFxcHnDm6CTvySqKkqwEw58LM1lNwhE7vCI2WYBAWcTrbxxVbxwFw8oZjZiYOHz0LncGA1MvHcSw2FxF+wkyJDemg1WlAGiucPQMRUa88dq1fAxhdwD+L3VsvI6xCeZVUcRUeHXQ6GAxG6PXCJSvg7APHjAwcPnpOqefSMcQey0MFdjjOlk8cHNxhuGFGckIKiHTQ86RuzoXWaACRC4x8NpHByLZisGoNMEALb2d/TN8Xi7iTcfj+leF4un9HZP08ER8fyME3cadx4sTvaBNVCpTnDBdXxjAL+aRXzjniPmRMNBYgxxlGXqQW1ojKPBC/fz0+mfQ+Jk2ZhqlTpmPaZ+/h42mLkJhls3JkvunqDevZJCTnKm2waAge/lFoVLUaqlerhqrNe6JVeT945F/Gt598jpM+Y3Hm3GksGtMbpUBwF32ei2wHFzjonYTrKG43W4fpjdnIt2hh4KFgIbi4ucGQdhJ/bM6Cs4sjjm/Yi+xMC9gzE1uyanPcYNAWKzlA4Hmv/xU7ym/cuIGMjAzUqFFDnHLJDSlbtizc3NyEN+VOnTrZTExvmmv6RjXGqNGRcNCz0pq/zvKhNXrBfqrxDwgDYpfjvYkWpB9dgpPnL2PZtA3o/Vkr9GtGaDX+LGZNbcTTNZ4b9Dxav/ANhnimwH3nGnx3wh8r+wyHNj0VVzLzxSTlHR2F/JV/YtLECTDu344d+3fh67UbMbPVSyg763n0GpEOz9gJ+OOsGc97VUKXwc3wzPuvYIzrUzi7eQH2OTXDE0N1sFr5i1uZbFOupyEnJRsugfXRqdw7aN/mWfRt4IYvP9mBTr+OR6nU+WB8LOLTkM1f1QnLFT660/hy/IdoMLoSknNTkWkbAVmZaYhPyUWdd4fBuW5/9H0zHYGJ87FgkwtmdRgqTKYVM1UgN+kK0vMUCSDvxnWkOmQLHbw1JxM3zp9BYN2RaKKbjI7dXsITlQjfrr+KN79uJWqq0+lJZLz2EZIb90LD8k7QZOTgetJ1ZPnUwFudW6Fb336gAQ2xfvpMpLd5B8N1XLVy8JlH6QrwSZyGyeMnwj1hK/bHncL12YfQfFAmXus7BruGvwbPa/vhWqEhwj158lIkmICAUFiPLMUHE/OQfHgxTp29gGUz9qDrxEbKudhsuJGZjmumfNEOsubgyqUkpMEZTes446WvX4Z3cmuseP9LXKjTHXprHi5dSkGeRfz6kXQtFW5iktEgIz8N1ykPeocMXF78CdoNcEEDh6X47Yo/fu7UDVRyE55+tRfGpvTEmeXjcNxzJIa+qUfy9RQgw2T7ILJ1Co9RUxYuXUkHC7Hm1OtIQyZyNBqEtOqEep/PxJBWz6NzawN++WQphn51GKXNc3E2ixmlBhpLFm4k30Au06kxIS31MjLyeALVgP3GkbEser7YCm1efQ4j9U/h2C+fInjweNTz4smdmSzTYYCn5iq+++RdtPuqD0r/Zxh6jjChQv5ufJtWDj+1qSSIVU21FVN6DfKSE5FqzFLM3TXB6DW8Fdq+9hxe1XdH7KJPUX7wBFs9trY6hCE4SIPsxKPQaIKQlZWC684m0R+mrERcy8pVxlhuEi4mJiGi5jA8Veob9HvqZfStBkwdtwJdf24F99AwGDMWkAoyhgAAIABJREFUYea4idh68SjW7tqO2D9XoFmVbKSYs5UjvcmEhCspyIEjtLiASzeuIqBstCCENIo0UjKqCV5+MRwsHbBJPB8KmK/zhGIbohVM3rViY5TULUBqeibI1x15Sddx3ZSEDCK4mqxCcqPERCzeHo/nSwfg6q+zMXFCHM5v+wpnzl7GkoWX8GL9KtjcZxrealwFmuwcJOVZQblZuJStBXEHaMy4eikRea6V8NzIZhg86ElkDojG6s+mIsOhE7Q6gvbMTiRoXBHg620D8/G7FBsrMmVfArBgwQLs3bsXn3zyCRwdeRBokJycjLFjx6Jt27Zo2LChiFPsx5UJ1sG9JIKDggUjYmYUGBiMsgF+EJK8bRnNLzwGFbzScOxqKip3HYkXn2oKV60fqtcqg4CoCMRU7obWTaPgrAdKRNVCuwhXxB07DX1YA0ycNh71SusA5wDE1I5BVFAJlKhYAxGu+bh4Pgnh7frihf6N4KDzQPUq1VGtcg1oMq8jvNWTSN+7G0Gtn0W3Nu0QU0qPYyfOwz+mA6Z89DaCnHmu1ECvZXFdC1//YNSsHoUyvqXQ5MmmMCacwNlEoP0bH+CDVuGAkzvKRlRBYGAQHPhnabMq0WgcEFUlEFY4ILpaE8RUqYiqUcEo4aRFCb8yiKlSAVGV66J545I4deQMTCUa493PpqBeeTcxYpX9Bxp4+pdD+YpV4OvuBO/SgahUowYCA3zg5FESkZVjEB5dBU+0bIGU+GO4lmbAoNcnoH9TZSLSOgcgtHpl9HqyOSr4lgA0TigTEoXK0RGo26kNKudfwqGryYjp9RKmvdvddkKmYtHjHBCNGkFWxJ27ipJ1e+C1F7rAJbcEnnjmaTSL9MXxI6eR7RiEUWM+QO0yyrk9LPaVDq+KMM8UxCakoepTr+GFbk3grCmFajUDxKTFY8fdNxhValZGeCk3aI1uCI+qhIjoYFSr3gABDiZcTrPiyVeGo3urpogOD0dISARqVA2Bu4MO/mVDUKtmFPxLOMGzdElUqh6MCiEhCK/YBv7aS0jWV8VbH32IWqFuKF2xCWLKmXA49ir8a72AT6eMRAkd4FsmGDWqR6OMryt/EYmxy4xA5+COChWroEp0ENx8AhBcsRr8fX2gdSiFpk82A9JO42IS0O7FSRjZIwpk9URYzeqoWr40jAZX8AdTZGAA3Bwd4V8+GhWjouHrrIVOqzDt4MiGaBLsgOOxJxHZehgmjBoEPlOPD94T85vGiJCQILg5axHTui96tayF84f3ItVYDu9MmIRGIV5iyY0xZHr5wvc8nqJr1EK5MiXF3pPgqIZoHGTE8aMnEdlmGMa/bqtH7BkxQat1QED6b/hq7zW0a9NGWIrF1KiEkJLOcPEsjfCwSIT4usK5pD/CImMQER6O1h0awHgxFvFpRjz1/scY80QFaP0roGoZV1w/dREe1drj1Ve6wF1rQEzNxqhXPwaRZX2g0xhRJqgCateMQtL+XzBt3Ta8OXYk/B14eU8v2u3k7o2ywTxXlFHmi8AgBJf1g1H1IcgfPXofmA+8j5/zmuCpmmXh4ReIeo3qIDzIT3xc8u+lbGAwXMtFoVvH5iilv4rTN7LR+rkJeKZRDTjqy6FW2+YIZ+nKLxLtG9ZFlSqhCCodgJCqMagS7As9DCgbFIaqMWEoG1EbFSu7IjXVEU/1LocNm3zx2og2WPzZuzheKgzDn2oJJw1v9rHtHXqc+Exx0xV16dJF7H9huvLzhRmK2AfDo/27774T5F65YtOA2ohnxSnb99/yp+7HUNPYrvdyuX3PCpGqNL5b/rPrP6TQmm1o7dlrtOrNIRTq0oti0/MKlKQ3899u72//7ua9cme5IwFFGNIXKkC1vLKPVhS49jF3uS/CjEU1tCjQEAtV863l3LaNo9A+mCKKvbUAu6e/k9Yu2223ipXZbdH/KIJxvH2bwj+sQd0nY0eJ1W4fh130HW9vx9xmSXLHXDdf3uvYuGM9VjOZTFai/Av0VOMYmrJKWCXcrKSouyI6+M5jv6hCkmj889H05JTd4mW+SVHW80ORc4XZbl+WDf+00wuoepVGdDjz7r+toigoohuLSkZEJprWtwy17DeKLlw5Tk+3rklN3txElLiemnSoRV/uYIMTtjb9h+PpL2r9X0U/cglGWSbRiF36cXFxeO+99+Dj4yNOruRlMZZUeBf/lClTUK1aNQQFBWHVqlWoWrWq7WtQ+bLidLf82SQXldnzLlvepS12bbM/Kduufq1WA97BbmGX9Lx7XAgGGqHDUPU9vJuYz6wX6XjHN38CEsGslmdl+3lWvgJegTGIdL6B2V9OxtaMMpi0aDKql3ISX3vKrm7bTnfbjnKVPr4K+ng1mo0drFZYLLxrn/2TEXR63snPymkbnfYZWW0tvB8ruimx45u/djS8XKjszufd/FaLSdAodr/zYmChYwW4DLJ9ZfO9OADN1m4r70BmDweMlYXPo1H+NDYvASwysN6H8zBWrB1m+vmrS6dRsee2s5ZU+YpWm8BLFbzTX+AtylV2sjN5Sp9xXYoXAqVsW07GQ+2DQn2qls2Ys0GB8ABAVpgtCn68C53zMhbKH3tc0MDM48CGnaDJ1h9cDuveuA/YMICbwQoPXq1jHG9pAytCRBmaW/pUpUlcbbTwmBVeI4RqSYgJAmOrre8ZL61ep9Sr9r3NZ50YrwJnPj77Vp9vWoG5Mn6UXfvsw+8WCsTYEONJHW827LlphceGmrNgPIk+Zp9sSj8r44Gxs6uHaWLDA70nWtaIQKbVHeUDvCB254s6FUyV8W4Rim2BR8HY5/FuG/u28STGiMBd3bOi7OQXv0mQ6D9zTiYs1nAM6t8czqx3U8coy2I2jwq3zBW8gqA20AaSQ4mKaFjBC6maAJTx1MFkIeHhQ01mNZth5qGsjm2VJnFlLwOKAYnQ4ggPGoqHBjP3p+33weMIGj2iazdCWtwOTJ02D0HNnsMP49ojLSEFYZEt8WTDEOjZ64LNs4Va/+NyfeS+yPhHzm74t2/fLo5F5mf+69ChA/r27Wtbp9dg1qxZOHHihGAwrPx3cXEpePe4gC3plAj8KxGw6cz+921X9FL/+3ofZI2PdxseOYN5kF1RXMpSv+6ZHvVruLjQJumQCDwSBFg6uuXk2IdLBf8GFf3RP6+Hy2Cxr0C6+edF3SUnr6gwPmLCUKRt+1Nw75K7OL8uNgyGlyn4WGQ1sFRjf8AYv1MHDcff7+BR65FXiYBEQCIgEXg4CBQbBvNwmidLlQhIBCQCEoFHhUCx3Gj5qMC4U71CySw0u3dKdX/vWIHKSs1HGRTjAnaIeB9Bddl/H0U8kKwPiQ5xrMH/op+EUcd99cQDgVEWIhH4pwhICeafIveg8/E8cp+LvYqFnHLGyYMm717K42XO/3+d0z/rKGZK7A1XWLPdC5h2af5ZjXYFyFuJwCNC4P9XgrF9vRaYobLCTmwCV8xrbQ+K2aywOFXNVW+adoq8FuEwDKmXTuLQ8Ysw28xahQLQ1ml8r9ajxisSj1KmUrMtsaBBOZCM83B68V5jxcmta7B65zEomiiFTjZTVfOLetR2FJhFqu9ZqakcIqbSoNJkf9yrKIPLtOW/SZWyQT49/hCWr1iPRDM/s0TFh3GpB6gJ4sVhagrtN3MzWWz6yVaeWUnnse/wSeSpJsA2mjm1Ur8Na7t4taRb3he00YbjTSAE3vZS5a3tUcyhzekJOHggDtmi8Jt9JGhXK/w7V5uiOunIZmyNTVT6/BaalAcVrwKMWOEsTLNV5z5s4Ww33mw0iPbYxhLjkH7xINZtixffHawElkEi8LghUKwYjMlkEnteVBDZXDk3N1d9vHm1m9DVHyr/IG8Jhe3dhSNNxQ6+wEBApFHEBnu7eH6vTNZaYUPPmx0OjRmNvjM3QW/bb8NpuE7+43s1vxKvWI8VxNkRxpOPKNuWhydkpjzj+Dr079YX64/lQMcxfLKdjT5VsBHPtj0Lyp4dRVrhvRks/uxdPgfPvPyryGfOtxTQpO4BYTIKyhTM4OaEp7zLxHsNO2HSD7HQai3QaHTKHg9xSh/7uVKsarg8lZmI/UC87UOTg7HPj8e8LdeRcW4tnh8xHQ7q3iR1A4Zo+02suJzC86ZC3809TfbPSjE2GgT9CkNVtp0wc1OQUs9+N139E6+PfgkpYo+RcurnzT6x+cpS+4b70m7SV8aVyryZM1rFCacaSxw6DXkBqQ4uCr7sbkQBT9nfYNurchMj3uugwcZPOmLSH5cEs8g3K2etF9Aizqu3jZkCbDXQa3Kw5MWBWH+N3/F+KJVYeZUIPB4IPHJfZPxD5h/a1atX8euvv2LZsmXo2LEjhg0bhg0bNqBHjx7igLHSpUsXTOb8gxWT5h0wzkq9jjOXL8OSlYCT8XkIqd0MNQLdcCX+PKyOJVDGzx256ddx6VomgkPL4FzcKVgtNxB7PAnBlasj2CEVf+46BZcyEWhZLxoa/1R4Jl/GH5s2IDEhE9UaN0Z4KXaMBeSlXsIfG7ciU+uNRs2aw89Ni0v/Ze87wKMquv5/u5tN7xASQgghpDcSSCD03nvvEHpvoiAWmgpSBFFABAQRFBQFsYDSu0gXkBB6Se91++75P2fubkgolvd7Fb7/l/s8yb07d+7MmTPlTDnn/O7dRrFBhfT7qagW0xyB7jZCkLBgKEg5g32HEgE3PzRr3QxVbLU4sH0r8j1C0LmZl/C+KpdZoST5LhKLCGGh/sKLa17WXTwsMCAqMBDpF47gwJWHcPGPROsm0bAtTsPefV/j+EkrJD1shODqLjhz6AfcztQipE4jxAR5CVoL02/i8KFfUGhTBe07tYcHA9aY4XMzTu/Gz2othg1vAge5Aqbi2/j559PINTgjtmlzBFd1QnHmPaSarFFyORE2/vUQFuAkBt/0exdw9MQXuONUBUGtTcjMycep80dw//c01GreAfV8XUFyOUyZ93Dw+BkUKSsjtkVz1HBir34kGXjCiJT7D5CvykbKzYcgNz/UD/XCldMnkSmvhtat4+CsVEJmyMbJQ4dxJ4sQXK8F6gVVwpVrl+HlEwQPZ3vIZMW4eTUFDq4N8c7bYWCIF9Y8vP3bSZxLfIgqflFoGh8GBZmdBbNcMhuYWoR5+abFqx8W2MD+FWNQ1HwC2lbV4dKle/CpHY7KMkBdlInr99MQEVEb6lvn8fPpa4B7DTRv2xQeJTew6+tTuJC+D73rDoOfiwKJZ4/gt9sZqBZYB43rBgrBk3fvHA4cTQRVqonW7RvD3aceWnWshRUT16P516Mh0xtA7MC0PHEVvyo48OJy4N9yGfCsfBjTpLi4mD7++GO6ffs2jRw5UsAlc3yGSQ4JCaHERAEwQRY8BIOmmEqKi6mkpET88fcl6iKBC2KJc/m7+Ty1pBqtm1GnZuGE2gMoubiQpnbvRIPf3CXIubb7XWoU2opStA8osioIQf7UqV1jCg+vRc1bNBHPPt4OtOFiMd38tC85cHr1OlGX5mEUENOWzqWpSFOQRD3bR1NEs47Upn4gBfeeTqklKpo7siGbMFN06460+0aBwKVhZw9FtzZTOz8natK1O7WOqUoNe7xJaUX59G67muTs5klzvthHarOfieSv3iIn55a0666BTKSjt0c2p7r9l9LN/ZvIx6kGde7enWpXqUkdXv+BctOOUYNIX7J386PNe8/R1tWTycU/ijp1akXVomJp05kHZFDdowltoyi+S2/qFF+Dglv0oQcqA5nMENGHFwwiFzsbajP+LcouvkgzW1ah0HqdqXuH2hQY0o5O3C2m3zaPIFmUH0UEdaLPv0sWjmGYtiPfLKSqldwoILIn/bhrCcEKZN2wMXVrVZcQ3Y1OMpDL3Ss0LiiSwpt1pPYxEVSj6cv0W4FJ5K8W3jyKaPaQOIKVDTXv1p5iAhjwqwF1bteZYnxAfd5i/JY0Wj0qigICm1L37s2pepUY+vbCFRod7U1N5u0QwFeqk2soxrMdfbRxFQWE9CaGkzn3w3KqFhxMnTp1ouBQf5q04SfRXozmsuu1OiouKqRilcrcroqpsLCE9OymxWQirfDUkUGNosPpo19TyHT3AAXZBNPcg3kCNO37D4ZT5dqj6N6VQxTrUYMad+9OLQJqUsTA9XT94hZqbmtP7tHdaMcNAx3f9RZVqhUiaPEPCaDXdpwldeFl6hPpQ2379KQWYS4UUW82pRUR5f+6hRKatKJzAs5E/5ddFj2rv1WEV3Dg3+QArwqe22URBtnZ2XTx4kVBBwuU77+XkAY54JVXXqGsLAlgyxL/0o4FFB4WRuERERQZGUFhoWHUptsiyuEPzAPG5e/eJu+AjnRSBN6mltW96ce7D2neyEE0buGPIq+kvSupY8NelK69Tw1Cgmnc19KAObJ5NHVZIMVZNb099Vl2nW5v7ENO8d3othhoimhk3QB65ZP9tG/9FKoSPkakx4NfO7fKtORQEr0/tTFFt51BGQyQRCYyCH9IWlretRo1S/hMiq9PpDZe3rT6l3S68fNq6tpqMAmINaPGPKClUrfYaJq97TJRwTUaUrMBbTyYSOPrBtPgDZKfJe2vG8izUgs6lGqgS1/Oo7heHxIZTpOXXQjtuC75n9o8pAnVH7yUHt49RP5yD/pUYBupaNNHy+hu8SM/TaS5Tj1qBhKnfGFZNwqOHiYh65GWXm8fSYNe/5LOfjWXfL0G0qV8s28kxl0X7prUNKZzV1ry3XXKu/wJVanenI4K3mdSB18P+vxmPu15oxd5xo4iCQrtHvUJCKOByyXQM5UYQEvo9WGtqfHwdYI/h1aMJK+4EcRQWuk/TqSQPpvp7pFlFOUTQ/tSJBZum9mZGveaR2c3zyHP0KlCaHw5oyu1GzafUu4doNCIEVSieUgdwkJo7KpfxUe3Pp9Dtfxa0FkGTjMJ9CfKOL2FetcNprCIaIqKiqLo8DAKaTKKDt2SfEGJMhYdpSaBg+nrX1ha6un1gS2py7RPBWjcnOja9ManV+j9AU2owaSNEnFZx6le1Rh698AD+r5fNA3bdo/IdI3q+ATTG19KAGznVoyl4NgEOnpgDbm7BtMFbi/6q/Txwi30kLNO3Us92kfQyjMSYJb+D33SSdlW/K/gwIvCgee6RWbZM3d1dUWlSpWwZcsW5OfnC6/JlrMNd3f30r11yzrQr1F/rFgRL/DopTMMGewc/IWHXgtudbFaDs8akWjoboJea4CnQyU4WrHPLk5F8o2lsLKCzMA+rhhoyhd961aG3pAPuAQjtroHDHoT7Cs1gUM+Qe+gR0zbgfCBDmq9IxpE1cKtwmzo7UxA5gnE1omC1iCDXuGMylYa3CuohkZdOqCKLcGo14NkDCWgRvLdykh4oykMKhVM9iFoFlUVuoJMaLQ6ATNQZDTClfdixHZIVQxvVhmvnfsVXbxMuOTshI+aOWGDwQ/zGvpBrVLBrl4LxNfagdS7D0EaExQmA0oysuDppsaCPrF4x0oBZGehWncHuPk0wOIFXTGrkRcWufqgx+RF6CdAlXixJ4NJo4KR5NAb9bh52YAu/dvCy6SGSm+H+PqxyC1ORp6uBFXrd0dtFzn0OpOAixFHRqYCqfxFhcgtIXhUi0AjdxN0RjWqOHvCVZuHW1YyGDIPokNsHWhgRLFejnaKIlGtCrHvY0CByhX1mwUIoLNCZRWE+LrBzqhDnns8quhscf9aDmIatUactx4qFRDZqA08L56F76AFqDKvG369+TtOJ5cgtGNfeFtdg9ooQ4muBJ6VFTj04TjU3SQDFRXBrWZDWPHxnr2VUFpwC26KV5Z+iHw9n78R2Hcd2Xkgoqo9yGSAFWNypN2BqqodKrnbAGSFfi3CsPW7szh1JxB78rXYMdAbc7a7onevaFG/VDkCLZvVQNbv11DoYwulphj6omJ4e8rw9bz+2LNYBioogHtoV/jE9seisT+hhU81VK1WAwmz34A37z5aVYWLnTcybmUAcb5iO/F/rG5o6UgV9woO/MMceK4CxlI2PszncxgGFWMcGD6X4T3zEydOIDIyEixkyl4plw7go/WnUKmSjXA2qIEWjo5NENmwlthv5w7I38tNJoFcx6BGauESn6DR6WGydhTvVakpyLOxhpI3s5QKFKkNAmhKzkJEp4eVUgaZQQd5iQQ0de/WFRjkfWEvJ9xLTYM8zhHa/EJU8huM/YdnwEabga+2f4s4f2fcZRRBlV4cYvOhvkAKgwzW1rk492s2EuJqAEjHD3ez0MfJEQqjDCYGC2OwIiIGeRQHBN3GjcOidp/i3VvpqD5sDRwUWhgLCnEv34g2ofbAg8u48cCEKpXdIb+hh9LeBQ72euTkBWDT/q/QNMAO5/fvwHVjAEpSbsCuwRgkzV6PzAtfI7pjH/jG3MT4OA9xPsSwNEYGPSMlXJw1uHwhGSS3g70NcOrGdTyo0RQutqkw2pQIex126Ge52BGmSSaDg5sbHGyswc4kVSYZ+IhFzQfhdvawzstD1Xrd8e1n78Kl+CF2frUPro1DRRIk1E1ksFZaQa8xCKAzORlhMGpBcmvI5XpQvj2cXIHbSfeRCyX87YGbty/hgk4JF0VNzOxsg+mTXkFIoSum9w2B9uavUNrawkamRWqyPQbNXofZQ8Pw8Oox7L2QCU+BRUWQy+TIeXgdn3++FpnkIWiGMRe5ihC8Vj0IHn72ArdFYe8IWWoxClQaQGaNyF6DELNuGRZNmAJZvwXwUyohVxXjfmYJrOztAf1tXL6UgYa9agDXGW20MpTWWUhJdsXENZsxprMfbp/7GUfvymFMTkJo35VIfccXGWdXo3m7+fCLaot+PoXIt85HqD+jhTFGXsUJjKXNVdxffA68EALGslrJyMhASEiIABpjjbILFy6gc+fOYgVjicMsrVyrDgYOrQoHa2sxMBoNWlg7VoMENyZ1QK2qCGmZJZBQBAna1AfI1TkjLhKY8tkcRDr2wY7xC3E5piusTDqkpuZCJ4CmTMjNKoBCzUsdnv0WIsughcJWhQdfvI0BVb3R3vlbbLuiwIaVbRGkLYDpk3lYsskXNXIP4PXtd7Czc18U5uQgt0gCJ2PlHznjOcAB/ae0Rvdxw1DN7iXg5AfINtRH1zo1odqZheKMHEjgqKzzayW0thQBXdDNeype2y3D0XVxIOgxvkNlvDFmLGh6N5z9eCWKmycgNsgZSceLcXzvx/jl4Sq0bZuHBQuXYmwHX6x4dwlip25CO90dTBo8HP1eW4Uo6ySY3GuhRiUJNllwjUzQpacgLQdoP6oPFjSbi/GvV0JD1yPYuScLb+/pAXnSXiTnhwiPyUZ2J1t6KWCnv48tq1chbHhVZOdqzLwH9KkPkKqxQ48OQ/HesBVY8OkO1HlwEDM/uYfle/qb1aBZwhgFXLSp2CAOsjXFRUjPNnvnNRTjRg4Q3b4jqr/ZA+MHLEbf1iVY9/a3GLjwEGwI6DhoOIbET0SV6TsRYwtkFKuR+iAFcIxElx5e+HDLOwiw6469W5fghncf9B3J+gnsqVYBGw9/dOo0CFprB1gxpopRjxKTE7xcWYqyV2RAUa0BPB1XoygvA0QukLnFY1hDFXqsvIANC1sD5IQRPSIxZNEr8LQZDf3erTjqHIUFnUOQ/Suw6f0FGNFoMfr0csCatQvhpm6Nrz6eD1WjOWjqexVDm67D8A1vIUBzE47VguDvYgV9SjYU6YQQf64n1kCsEDClTa7i4YXnwHN312/hEK9guPPs3LlTBF26dEmsXmrXrv1Ie8wc2aGSD8JCQhAYGCj+goNDEVCzGkOEm7WReAJsi6p+oYiN9hMuxCs5VYJfvSZo3qg+7Aoe4OzvKWg0ejg6N2+KuNrhcHHyRL34CFSyl8PW3g3RsbXh7+UEaycb+EXVQpR/Jbh4xEGZfxmJWVUwfeFKtK9TGU6eUWgWWgmH9/yAe0UumLN0FdoEe0Jh44SI6EgEVmfgJplwt83ke9Xuijr+6di35yxyHRtgwZpFiPa0gRw2qFYzBCG1QyEm1sL9OqsqW8G/di34Rw5E1xZ+sIIC0R3boFLm79j/yyXY1euNDxdOhq8N4FjJAwpTAex9G2H2hP64cXIvzl55iFaDZ+KtEW3gUikAjWu54Oi+/bh6X4vhM9/FgDhfyaU60wgrVHKviuDoOHj5xaJVUzecPXIQiZnOGDF/JQa08IHRYAfv8CjEBnkImxeuMxm7sZfZwMfDEQV5eQhv1BxRYbVRN9oPCijAvPePjEZAnXpoG2CNU/t/xk29B6a8vxyD63oILTSFQrKhsbVzRURMbQRWd4GVtR1qBEUgJsIHcqUtXGpWQr26DdCyQxTuXjqCi4n5aDV2KV4fXV/QYudeHWGuNdF+dG/4uigBpQ0qe9VEVFwwmjZvDevsRBw4cQ5edXpg1Tsvw1PJi0X2awfYOLqjVmgYgoMCRJsKCApGWHBNONnyHEyA2EMud4X178uxvTAYA5owUiLBJ8QX3t5d0KNzDBjVuEZ8SwTbZuPwwVMo8KyHRcvno1FlJTxqhUOWlQar8DaYOLAd1LfP49ivvyGw2VCseC0BvjXrIcI+D0eOn0BipjXGzpmEtpFVcWrnduw/VxMvT20FawOv9CV6Lf2m4l7BgReZAy+cJf+ZM2egUqng5eWF4ODgUt6VnblZDOwsYZbVDQupP7vEauLPIv3F95wvXxY6LJ+xbYcZLsMSVHoX+B6PvZROQEqjPPvBHPHJ9Nleo7zX1yfSZFsLSIN4uQyeiGh+y4dVZffAhDGqBcuiXAp/+Ye0WihfRwLv4zF+/GGCbPMjIKMfxSLGeLEgEj4KLvfE69EyO3piNSD4YYllMXAs9Z7LNk5l7X2MMEEOyvsJcc3exIq9x9DMgq5pSUPwiA1OywRw2GPtgQ1py28dsDGr/PFiQZtzDdNbDkHYqmOY1MQe7AvWisHdK64KDvwv4cALJWAsNjH/Dd6xaw7G81EqpcMMg94AuZX1u7YbAAAgAElEQVQScjDolJGXOkJJgKevSisF9Hoj+NCfxzr23MzbJgxuJQCWwKBZRugN0uDGcfhchWfdfBkFOBcP8PxeASuFXAIsk8nFc/nyMLgWA3vJJWNK9hpdCmbG4EpP2jlIYGIycU5k2cpiWhi4SAhXTsNsgMllY4AlqRy8pSLm37AS6ZqBvYQwInFmouQzn9KLUMonAVbGZ0iWAU0GKyuFOPA2mORQWj02ilr4wABRXP4yvDfqDZAx782gZCzTxOGZXOJVafacBo+ibOCpkHjPIG5cPzypEPVpxaBnhkdGhySDQqmQbEMYBE7kZSXxVICDsSKClQDs0rMgEusOplGip2zef/Zsmchc/2krblVuic6x3hLQm5FXzBagLQa9kowrS8torl8Dg7ZZ8RrUhCdpkWgX0oktR+VyqFPO4dtD+Ric0E64c5eAqv6Myor3FRx4cTjwQgkYZgsf+FtWBH9lRfLisLKCkv8LHLAImX+1rLxSrjh7+VdZXpHZf4cDL5yA+e8UqyKVCg78cxz4V4VMhXD55yqyIuV/nAMVAuYfZ3FFBhUcqOBABQf+b3LgyY30/5t8KFdqnqGKc4JyoZYfZbwxW4Iq7n/Cgf8Jz6Rvn10ff5K1OO7hNP483tNiWNqCuP+HaTyZbhmI3DIvLXmVCfpLj//Zd09z7lnGa/Zfyvkpkbjv/A1m/yntQvniv8b4pxD814P+lNbHknp6/Gfx5xnh5fgpeQR/MbjxWGGf8bNiBfMMxvxvDbYoELCiwf/PF3tHgEI6zH/+5SyvHPHP08P5GSEzK4j88/n9tRxYS5CVMqzkMhiMrCgj1Q8rwVjgBthQVM71JiNJsUYhlwQSK82wFshjFw+mT4Y+Fukf/Gk0MI6P7CnKOn+QqQCKk+yryCjhAHF/FIpHJpQqoMjlkmJI2XDWqmRlGi6zpS/LZSxYWMnG0qefN1f+oOyPvXphBAxLe9Yi4ztb4fMzX5bfYjZgluasBMBx/ptX6Va3kaAy6mBjrYSCTdvF9UgNmMgAtdYAa2tblNb3f4mQUhr+RnrMF4tSxLM+e1q6/B0fHP/lzvu0RJ6V4WPhZNBBrZXDxoE1qJ52Pa3DmMN0WuRqNXBydIbyDw+6eQbI9jiPp29CSUk+TFYOcLJhzw9P4dczy2ZAcaEKSntHkNEAubUc1jJJwfip6ZTN+mlFEhpsgMykRUG+CraurrApHVRNUGu1kCtsYfM3VJFNBh0KVRrY2jvDVmHxSl2WkKc/s2YfmwOAtd8MepAQBiYYjXI42NtJRrJ/p32INf8TzH965swHVrR7rDE8UQ1iJ0GLe7fzUTPAS2geMlv/Vrt9FgXPqB+O/gQdIg0jSlQqyK0dYfcn9fO0pJ8Wxoaz5VTlS2nltszFLM9Pk7EA9zOMqFbFnavtr/fd0nT//QfLCPrv5/xYjhahIdRpzQKEhYjlN2uUWX7/N4WLaLCizbJwA1C4D9O698TOw8WCQhNPycxqvRxQePEElg2bgqvirUHM2CxFsaQl/S7/yxLnqXeR8d9VFJLStzRCCWpZj307fsT2n+6IbEysLiv1R3E3Z2MOk4SLEDQi5Fn/zNuF5sZuiW+5P+srEW7OMOP8Z+g1aLDAZQHPZks/sjxJHak0zbLbAnlHMGvYApy6qhNfGYT3AMLBD5biRGJamWzMwkUMShxM5rpR4dt1m7D6kyQpV1ZPtzDCcn+sbIz9Ijinu4WZU17HxYdJ+GxWJ8xZdl2ka9CXEVLs8l+Thq8XLcbNEml0Ehg3lrHBkgeXmoUbU1H8O6aNn4nfsiSsI4kLWmzp0x+77qoFnaLZSRSLPM3Em8tUhK1rd+Hw7/lAUTK2jnkZl7RlKtr8nYW74qeZDl5l8KV+eARTu8UhLq4BWnXojDYtmiI+LhZx/d/ApRxJk5NpLeWVOc3SW2m5pAGZ+0hO8hmM6NMZzVq0QJ8hr+NCKpelGDvXzsWgvr0xoFdv9Bk+Fet/10KmUOPT+TPQsU0rdE2YjYMPNMIHnMAcktgoOsSxpWOx/OBtwQPGw+H2bm4tpaT8rQdL+3iifh6lws1B1CEMOLRrDz7/8ZbIf9fISTiUIrXDsiB+li8Fb1kwFN/BilcGonWLFug2aBx2X84QNOtSLuHlMf3QulVbTF38KQpMDFUB5N8/j+lDeqJlq7ZIWPEd8nm8kclw/vuN6N+tHVp37INFP9+EXGHErpemYMfh3yUelKkDCw0v2v25CxjLSuXu3btYtGgRXnrpJeTm5mL9+vV4//33kZCQgPT0dOGnbOnSpZg8eTK2bt36P+ajKj8PhSq9qCh1YQ4y8/XS7NchDMOnTUNcsL0YCOUKGYrzMpErXMcA9r4h6DZuOGqItsFLfaA4NweFGsm9SUl+DvILuWNZWvCTpFo6PmlKkJtXJEkWQzHSswrZkqb8ZYksQsv+4PR1SHv4EHkqg7S9QDrs+3oNtnx/VAwMcnZoplchIy1bDJilEyIyIDMlGRmFuidmSaUDilGP/IKiUgPOvIwMFGrNrkrMHd2gKkB2jiSIJWub8qRblhMugc0xY9oYOHGHULCdjx4F+TwacxlMyMvKQEGJWT2d4/AgQmrkFLN/Fg1+v/MQmUUSzidvFZBJha9Xv4e9Z+6KOuJyFWenIyUjV/q2HBlG3E8vwP0C/q4E6dkFUpnN+TDd2emZKNGYyyY6reUMToWTxy8jvdAObRNmoXdbH0GzlUyFlNRk5Kt0ogim/DtYu+Q9XE7Xi/x5UZKXmYmCYn7Phkhcb2w8pUNWngZQmHD6zG0UqqQJgESuDZpPnop4L8l1D7crVUEuckv5JA32PPCRqRDbNizDnjO3IJfpkJlyFmQNqDMeoFDyNSTxhYHscrKQm6+W6GAqzI3AzisSE+auwPIl7yLGdA12DYdh8ZIVeO+N0QhxNyE9OQXZxdpHvDLztKQgCzmF5nKJMBa2DIqUjNdaD8Qeq1i8NHUynO9+hBGv7gKKbuGz4ydgiumCQb06oWlcbURVUeDKxpcxcdUpdJs4GTHFv2LSxHl4YHY0ytg7nKYp7TheXZOBXj3jBP8UChOy0lOQmfcX+5dBg4ISC2AhoaCgEAazgMrNyERhiVRf3AZEFYG7Sz7SswqkpkksYD7Gpl2HQWSFtJuHkaOV2qFUaEtDMwp+sy8+ruNP3h6F1UfSMGnqNNS2ScKYSdNQAANenpSAL5M9MWnyKFz+YjZeW/M9ZDITlg/vgx1ZoZgyeSiuLpmGN3cmwXT7Z4wb/Sbk9UdiYltffDhiGHbdc8fQhGAsfeVTPBAsePYYY6Hsud+ft1tng8FAOp2Otm/fTqdOnRKu0tu3b083btwQbvoHDBggwrZt20aZmZm0d+9eqlWrVik2zF+j30QM60FUQu/N6k8ewV5UOy6MwiLr0KQJQ6lNdDj5+7jS/J3XiUou0ahxk+jbK7m0+5X65BrfkiIiw6maWwR9fDyNNHdO0vuThtBtIjo8uwW5N2lBoeGh5N2gAw2dMooax4STr18kTd59g0h7lurH9qfTKZJL+A+Gd6a3NvxI105tJi8fd4puFU7B/tVp8PgxNKRlJIXWqkrdp71Luexl36gl9oJffHkd1Q3tS6cfqAXuyPHZw6jd6JWUmn2WxjfxotDwcAqoHkgLPz9Jvx1aQ1UrO5ObRyB9dzmVco5sp2ZVqlNwUBB5Rfan7+5ryViQSFP7NqGwiFCqWd2TZq7dWw4XRZt6kd7sGUk1YuIoZOoGSi94QPP6xVOt4GDyq1aL3toguby/9sM8iq/lRxGREeRh50jtBm4gomRq36AX7TqfIarly9eH0bR56+nu9Z+pXa/FVJxykgZN7UMNGkRTl46bSKtOpuE9G1OtoCCqFRhIb2w7LsqsuX2Y2oYGU0hkFAV4eZCyen86eped9jPwAdF3y2eSu5M9eUU1opPJOfTppP7kGxRO4UEBVGfwCkrRcUQj6USda2j94hlUzcOXWjWJpFp+tWjIkj3Er0xpl2lKeAT5BwWRn08cvbLtkpkXOuIkSHeJGsb0oEOXk2jjkgn0yra7ZCg+TV0b1KVIrnPvWJr/4wl6d3BncrSzo/hB0ym9sICWNK1Pflwmnwgasnw/saN9U9YxGt/Ck4Ijosjfy4WUypZ0LlOCShBoB6SiLWO70Mm0DHr/ld5UOagK1WsQQTWrh9LAtUeIY+p0JoEL9N2GV8jdxYE8/VrT6ctnaUbHquTeoD3Vjggmnyo96OA9I5G6kD7u1Zlq1QqiIN8gajdrOxULthhF2QUzzf+2jKhNU7++Jf0qvEbD6kZTcHg4BfrF0PiPTwuebBoXStXcY6lpVAQF+njQ7LV7BE3MZ7602WcoLCqO9qRLyeTtnUFe/hPo2pXdNHFER/ryYgqlpT6kIvG6iPo2CaThH+2XImf/SE1j29CnpyQgB51GVCB9O6E5dZ79uYhjKrlLr3dqRv6h4eTvW5M6rDhCupubqWGbWXRFoHnk0Ywhg+jtz85RwZ1vqVaADwVHh9GEeTMovmVjCo2sTk2HTqeUgnx6t1GcuX4iadjKQ8S988ymCRTUthP1bhpOQTWq0qQl39Bvh9eTdxUXcvUIoK+Pnaf149vTps/XUfvmXWjrDSMZTUQ/rJ1CcV0nCggKE1ek7iG9OnEILdj5QNCdfX4DNY7uSpdufkd1PNrS99ekOv994Xhq0nYyXby+n/xrBtEhqeh0+ZOhFNfrfdqyciwFdRgr2g6PWwsHx1PXN07zwEAzgkNp3amHIn2m4UW+nusKhmfLvN3FTi6tra0RFxcHdnI5YsQI4Q+qcuXK0Gq1wvklI1t6eHjA2dm5/LLdsuQ15GPnqpnoN2AwEoYNxbCEIejfdyjWfnWGXQSKPV9AjuLsZJBzL+w4fAHzOntjw08pWLzvCr58oy7WrT8Kdp18//Jt5OWboEp9AF/nxjh++SqWd6mEDz4/gNwCFTLv3wXvSGgKk+FSEoFjl85jVM1c/PCzBpuPXMTyMWE4uWYxSkwOKMrKgtbsFFKTl41ilQ4mbQ5yc70w/r3j+GXzy9i56RtEzTuAi9+/hGtHj+HcHQMgtwZbfjuEt4eb7CA+OXdXIDV+eOwKgsNr4IfXB+JXh1m4cPUq9m1KwEfjJ0ATOQATurdB8yFz0CUMGN5xAgJXHcP1pCSsjc3FjFkbceqnr/D1SWDnlWtI2rcGaWe2i60ruZiDAda2cty4lISIpn1xYtlIHJmfgK0lvXHr+nVc+XYq1s+bi2OXjmPBzE9Rd/oOXLm8H/2ru+Jheo5YjWRn5kCtl9ZhusI8FBWWQKfKw43rt2FydkHmjkNQNpiKrbv746NZE3FS1xy3kpJwdsssbJ0+Eb8UFmL16Km4W3ccTl6+gI+mNoe1IRkGpTSzZ0P/LtNfR8+Aapj4zodwP7EBs75JBfPl6qntqHZkDcYsPyncyUjOOK0hK7wHjU9TfLznMvZvmIbdKyfguyI1Phs6CD9HjsXtpCT8vqY3trz8Bg7c43MQK94lE9siBrb+l+mRfuM6snJscG/TdOyRt8Clq9dw9MNByP4lEf0WvoUGlbwwd81ynJ3eFx8aG+NSUhJu/fg6fl00B19cycHu+YNxQDcFJ6/8hs3z+sHFWgVdueWqCZm3b6DQQCjOTgEcemLbwStYN7spznyyDMkAlAod9KREl5HT0Dq6Hoa9sQD1I6ui8G4hWjV/GZeunEFC9WtYdfgqrnz0KuZcsMUPt5KQdGET1J8twtydD4RPPCN7pOAtRINBGDbzGU5BXgGMRhXe6TEMJ4L649erV3FgWW98OWsWvr+ZD1X2fRT5eePTC1dwcONkbJs1Gfsf8gpAajnW7tE4e/oEOngChdfOYtY7qxHQqSmcCnJxeOMezB7eBx2bxsK75Ru4lZ8Lo6kWoqtVE54yyLY6KhsLcOfePWnCTXw4I8O5K7mIjfATi+Pv33oNa5J8sPvCVXy/ZhJS9m3H+dRiqAoLoDWv2vJyClCk0kNhKsSde5loOfYjvD+5O1KvnYV15Ex8s3k5Do7rjY+tW+Eq18/umTj59pv48poaTkYNUs7mYcb233B86wzsePsT2NYfgGl92qNRn5no1aQOCu6lo3p8E1TRZuHUz2fAXtdPbz4Jv7CBcOFDeT27dPDGolWf4c1uVvjknclo2HIUdP5DUdupELqA6vCwMwqeO/k7w6maAjlpuXByaYhQF4YQMcHFNwqy24dxMdUaIdXqwIaMMJpk8PTwQnbiCRDJUbexGt+d4W27P9jClDj53P+Xd4n0L5NjWa57enqiR48ewtFlQUEB+vTpI4QIv79//74QOJatmy+//BIODg6PKLWsEuU2qFw9BBGhvLXFcpPFii18PCqzBykYxTreiAKVJwYM7IZABxvcqxWD2Eg7xHjIkB83DK5fM84HwdrWFjIjbztVxaT3ZsCVgDZjW2HBsnTkqT0gt7UVOehUdhi+cCIqW9mhppMH+vVpAX9nJbTB0ah24DryDQQ7GyuRJtPPrmr4ALdQZY3I+HYYU9sN9KAmatRsg26NqsBG1h41PNRAMW8fuUDO/sCU1TG7dzwSdiaiJDQR+SnVMbp1bfywQYGXdoyCLRFqtpqKrn5bkZqeAwd7Jzg5uwGqa9hvbUCrnfMx7qA18jLSkXH9AmzmjkYTn63o16IbmtSNwdjZH8CDGyo71+Sdjtx8+EbFoc1bL6OSVSr2f3cZBd4umDjuBjTqPOTqr2P3d4egc66NqRNjxdbCkCVTcPh9ptkK1tasASOpXMoUEvyA8FZs5wCFKQtat454bWgCnK0KkZ+ZCXnyb5g6dTKKkm/BWKhHzv17OK71whtju8OdFGg9rDfqHtiGwiw9UM0GJNSU7OBqZw9vR+BcYgpqd+iNrp48DtXFxNc6Y+73h4FZjcz+vkqQSyHo278HajkS0KgHRjX/Cge2HUaRgxFWaT9j/IQbgOYW1BmpePAgB/DzLt3glBwKyWBtawdo1fDoOBpNFq9A/TZ30LB+UwwdMwx+7tdgb+sIL1MeNqmyINdexOyJUyE3PERxYS5Srp7ByV8rYcaqkahEhMaDh8P3/begVfP2TZm2bGMHGysjClVeGDyyH/ztAH2NcERZp5m3TmUQRygKK9jYOMHF1RnQlKBKcAT6vtpK1EXLcY3xy8mzOOibDqPNQ7w/aSqUxkxk6vOQduUG0NMXCuGXzkpynCmXif4hs7aDQpGHw8VOmPVqD7gQwaXXCHRZexyJv/4GZ49QdOu+BDUZZ7rNOLStvgUpGflAdQ/J67dMCXu7Inz74ctYsHQv3JuOwSfv9oBj8gVMXPEJuk0bgWr5iejZoCfeXO4MOzd34X6J2wZsbaCwrwVXK+HmFSQUH3Lx0KiCv9JWbFcde6BGvzFjEGHL+Y/HqcaAOvEjmOxsIZdze5PD1tZGHH6XqICAiM5YOq4plLlH4ewSjQ9WTkJlKsABbTZkqnN4hetH/wAlBRlIvpmGYGsbhMZOQ3xVBeDQEB7VToAMRtjZOsFB7iTGG6O2GFQlBH3aVMbMxKNISbfGiQfZmPVqAzHeQKlgD1RS25FbwcbKHW26dMXppGPYdyUIDg4EvZhU84jEWmai48GKNejYV55CBhuGdFDUgKuStc04gly4WFI614CDorLYmfOJisCNYzeBqc0ht2y/PhoRX6in5ypgynKCB+CjR4+iRo0aQsLzyubWrVvIzMxEx44dS/eOL168iKFDh4rfrAVjz7gbfJERZFIAVu6o4qYAKQi5+azrz9MbixSSfFCp1HoxX9dr9dDrZOJAzygzABk20h46f8ECyQpQGtQgmbMYDBQ6Z+HzSy6EFUBaGRwhHVqXmIzQMrAYASqtBnqFAtYMZUaOcHCylfaUFXz6wA1HAZNBBgNrzul4RqOBqogAFwMo2wSxPGIaBAoXod7QsQjttgyvLQuDfYN4NA53x7YCFfQ6xpnhshXhvEaL1ko5eHJqpVSCRyI7hQIxzVqgpo0JhvAg1OkZDF8PP8z7+DNcv3YTJ376HL0H9MNPB/aitrN0vqM3yOCssIKzjVGUxS7PGqGt6yG2HuORaFE3rjs8nNLxm8koOgVnb1QzaBh3EZ5tOcDB0UHiH5eX97xl7FqLIxqh8NCi0MQ800GrUqBq9TjUiakOQ0Q4ApsoUM9DgY90WpiEU0sABi1MJj0Yb0ZcorxGqPjA3Noa1rCCQc/NWDr8zU/OhEIZKDUJUSQlrKBCiTpLagcmPQyFBlSv7IIrJWoE1K6L+Bg/yHTB8AmxRuMQV3M+5pvw8s0TdSVkhnzY1uqKD/eE4erlGzi9dQV6Ts/A3g/6Qa6UQ6a0Bqk18A0ORXy9GJA+BNV8W6Njg2pY+k4xtHw+zPRLqHelbVrKiV9JZZQrrGHU6EQb1eq0KJbLS/UZLS2ZIfKU1lzPclgbAGu5dIakV+lgTTYgtRqe1f3QKC5GANnV8I1FWHsJewfsuZq7jDljGZfR3EcURmtojeZ2ZcpDYbYe9rZOII0BGpE5/zNCYyjTrzhIpsbXL3XDnN2VMe/L79C3gZTXfYMSLfr0QzXOyzUUvbrUxp5bMmjsU3A3N0dqvgV3kMHAa1W8BUUSXUrh6doysVSQATqJgYA6F2dPJsHLBVCk6mDHuE0yNTTZuZALIcXailWhM5rgwBM7mS8MKh2oMon6qRESjvh60VL9+LVEx/reKPmhGCYPnYTfpOE2JxPnq7z5YGXFftp5BQlkFQIDBvfFawP3Y+Gym8ipPwqtXWRghRqhRpx8ETMXrEf8m2sweNZ8DM6/hr6BCThbFAa3VD30BqmtFmVqoc1RwtXdAdmq35Guk8HDGshMPA6dWyQ8nRJx98Zts3d4A1JuX4Sdd19Raxq9FsrqUjtlFWpRLYLCF++fudc+X8K4EfGA/uDBAyFMLFpiBw4cEIQx2iVfBw8eRFJSkljRMDjZuXPnRLjQ+DAZUZSfhqy8DGRlZSMrIwu5Gcko0pSUdiTuUqoSFTQ6yemhUa9FoVovZggw6lHEncZkRLFKLRqnoaQIWpNZ88eoR6GuGEaDHpqSEjGjNGiKoGbnitzl1CpotHwoyoOiDuqiIsiVDoD2GHYdPIPEbz/A6i+PQe3iAlKXoKhECxZUMjKgqEgDgxAmJhQbtGaRxUXjmY4Mjv7t0DnwGD74bD8ihg+BLTmgdn1g8fC3cC8tDfuWDkdSTjjq+VcD6bJx7cp5qGxC0cLWEdesQ5CQ0BfFhw7hRJIal35eiv6zPkbDvoMwYXhXlGTehYp7NIOC8WUyoKikGDoju4X3RothQchJKkLXhATEO5/Gjq9/RnDD+nBNP4T5c/YjJeVXLBm9BFY2PMuzg63iHHYdOIo7J77G++9/g1wnZyg0ahQUacQkoLhQK9lwwBXegR7I1Oag89BhqOtZiG279yPPLRDNPUsw8d31uJeaimWLNuLErzlwdLd0I0EsFLpCXLqQhICA6niwbxM2X0hG2ulteOvjMwgd1kEUxSBmwjZwpCR8tvodHE5Kxf5NK7H9hgHdezRAK3tPXEy3RZehQxGlT8W2b36DVsETFrNGIUwoLlKDt8nURcUwOTvg4psT0GHpEbQfMAgT+tVDcfFD5GhtIMt9iPN3C9DGLwI3HhDqDxmK1h4GfLntKLKVoejRTIFlIxbiemoqdi5ZhCvXU2BlI237SYwHtCVFMJAJ6pKS0jbK7VJXJLU3br9SLRFk2gz8dvEyNCVa6DTF0LFGErtb1RUhXWGLFv61kXFPixo9hqJ3pDt2bz2AB2o7qYrNVW3JV6cqhlqtAuCJtn5qrF2xFolpaTjwzlLsLXJHbKsoOOTfwJ45w3HqbioOfjQTh/OCEOXHUBQkJl2a+0cxcOUR1B+XgDBlFr7+6kscO30FF858hegWXfBTYipu/7wOcz8+D+/JEzA7zg0bxizHmdupWLZgNe5U90HzeF7NGQWaKOCEYDtb6Lj/EqFNhBe+3PQJ9txOwVcrZ2DEe1uhc6wG44NjOHnxOg599h42HjsCRycH6HUqFBbm8ExO1GVRUTZIzwo9LujsG4ykh0CjIUPRwl2L7V+cQp7JFkq9CoXFGjEWyGRGFBepIHa8THm4nvgbVIw4a9BCW6CBKbAHejjdwsb3N2Pw+DGwYsULGbvRBeDhBe2dbVgwYzruPbiPL1atxM+uDujYvBtc3M/jlQ83IS35AuZt/BTedSMQHdkcLUquYVL/bUhLPY2EhXtRZ0Qz9GnXCKrdn2HJ54k4t3cdlvySh/4jIsS+TPKV2/ALLSuMLTX54t2f+wqGnVvy+QtrkR05cgRvvPFGKZeOHTuGunXrlq5SUlJS4ObmhlOnTuHOnTuYNGlS6WoHShd0Hv4qOpd+XfaBwNpgPGAHRdSB2k9CB6zkE4T6MdIWhdLZGw26c4d3R3TD+qjqYQPH0PpwcpIGAWu3UMS3cIGjWyUERcaAu2rV8HhoKzuKjPxD60Dt4iueXb1qoWEdOZQ2NbHh7REY8c5YnKnuA5/mzRBaxQGONn6oX1f6TmbngYaN6sFFoKU5ok6nmnCvIlWLEFZiPLVGyxHvoY19Eka1rCaW4RPXf4/UUcPQrd2PkMm9sebb1fBWWqNR0wb4asU3OHJvJDb+tAFD+w9HxHIZFDXaYsOsnohVhOPAd6PRIipCCMDxCzehgSuP/XJhl2Bl74rgqFi4mltGj4XrcH18LzSN+BZymQsmLlmHqMAILFm3GBNmvoxu++1RVNkDVRQ8o62EtYumYcicORi+xxMOzZojxq8SbJyt0aBeJOQKD9RtEgcvN+6KNpg0/32kTZuAZlERUNi6YPw76xBkY40Z69bh6JBJ6NbxJ1grrBDbuT3cGFFMrP6kb/uPaoZXtryH3jt/xnvTb+HN4R3xHikR8uoH+Linn1jBSR6fjfAIjkf7oO+wbEwnJBc5YPG6rxAskyN4yxe42zsBjSO3QmHrh9FLVqK2O88x2FO1HL5ozr4AACAASURBVLByQb0G9eFm7wS/6HgYPJwQN+AlBHSciPjwzVDaeePN6SvR1D8AiZ388fniZdi2aQvmDe2BHlFRUCg80OX1ZWjmrYTVWztwPnkI+nU4iuD4SDTtUgcucrGeFeXitlkruj7cra0REFEX2hpVRLibR000ic2RwPR4K0WwwQ2d29TB0l0bcLH7IoTFNYSbub4q+8chRO6B6FHv4P3LwzGpYRRI5oj6497GyHg3MLSBxQu4ZerrF9EQxQJ6wArT169G8pDJ6NeuHWT2/nh302o0dlPgsrIyXOW2eGlAJ5SoCHM++wJxlSUv1zw5NOoVqNewAZJ2zcOw7ZI3aVfPrti+41W8eX4CZg/oCBMpUGfuCixq4ACr+I/x1i8JGNmjA+AZgbVr3kMNGzmMJhOsrFi7To6uAwLR9tA5LBjaFK1fW4yFaZPwWu/OsHLywDuL30NUbXe80v8rLHt5APxqOaNblwR4O1vD3t0XDeNjpS1Sm0po0KgxKjlK5zp916xHyoDh6BYVBZmiCrrPeQ9NqgIXKkejQYuaUl1YuyG+QSyUCns0adYQnx7/Avsu90Nwo9ZQ2uohhxMSxtXG6lsu6Na4itgg4RW2UFO2qYp31m7ApLHz0a3zIchsnfHu2nWIcfPC+k8+QK/Rs9G2oxohzaZi8ewEIQOX7/oc40e+jrbtAN/uC/Buv2i4yqOxceE1vLy4P7YqbDFx8WcYEOkMIBPHjlVCr1HSWCN2Wswt6EW8PXdDS4uL/nv37gn147Fjx4rDfGbWxo0bERUVJWCU+bdGo8HmzZvFvW/fvqhatWrpWc2LyNx/hSbelH8cgOQvZSwk11+K+USkxz797bul6PvuPSSeWl26lfPEN/94gNjV/tfy5wPZ0oH6Hy/b38/gsSr6+wmUa1fFWNA6HLmzL+D9VpXEKsqynvz7CfMXT6eOt5fFpEqc4ckgU99Cj/rd0OaL45gQWR42/T/L97/xlQ45yYlYPLktLsZ/jP2zupcvz6NCiLNXc4HKxTHyOYxUULENbX404/1IND4rmcsfjMLYb0Px8/4ZcBazjf9ZTfw3OPJHaTz3FYyYKQLw8/Mrt3pholmbrOxla2sLFkBlr78rwXnFxKdrEgaL2bUFL6UZO4TPLxQMjyu5eZDxWYFcwoixvLd8x246hNGgnLFXJOwS3g/lgzmeybAhFm/1sRsIbizcpXipLyESksAzEe5cGMOEByvhHoI1STjOk8BgnA4bmknxmAMkZtq8f87uKFjIMB2cN88COW8+oOZvxPGHmR4O4xk6x5eRBKJVzkWH2aMCl09quhxfAh9jGmQyhYRDI/IRmzJQKB3RLD4EbCGg1OtgZNRFc3mZPvPxiwDLYt4+QmWUNGfE2QObdpt5yQwzmHjvnKtFotHiPsNS9yKcgbzkEo+5TtmmQKrD8ju/bFchTWR4FsujmMQrfpbo4cNzEhpWzMNHF2O7SIKE+crbINxURH3J5ZIGlLktMWaP9F4K54FFnB+Y31vyYghvdpvCbeJRXUo5chrMd15lSGlxGiawsS/bNJWljOuE05Bmzuw2RsIREu2EGIdIapNigGNNy1I6HpXO8iTRLuESSXRKwHKclvhOZgP/ui2h1OTDYHATNHH7KodPI/B6JJos6XK9cr1JfU46K+DtbMmNEbcr5vkjPokdTfGxaD0g+wAsf28YNpxJBCIbQc+YTua+ysoBln4nlZH7nNQe2LUKa2By3lweqQ4tSKDm9v9Y/ZTlW+k3/H1pf5KLerey0uHQ1lXYl9MKX49qK6gtKwwstLAQkbOGnXm8EbxiA14GseNjOO5LFnRS4VrGPPYwnpK5/0vtgM+XTNDpZbC2KsDph1Ww4L2eknB5upy2sP+FuD/3FYyFC9wZGejLYrnP4QL4q4xbGEscFipiAC03GFhS+r91Z578mZB9WhwOEwfjZUetP2Dd09KwRDfpNGCbQwdHW0mwiJQtb//8/qy0nxX+1BSFurqkUPDU9xwoBtonD0X/Vj7mxPkbHkyexb5npfms8GfS/D988Z/m93j5tOpiGOW2sLexEoLtb3e9Z9SPyEdYrj+loELRQw5dkQrWTpIyzyOnTY/i/yfj7H/CFykfE/LSMyB38oSLQ/mJzCOKpKen5yFNLp7ss88IF3zjpsazLS1KDEo4KCXV8Ge1vcfpeJ6/XxgB8zyZUJF3BQcqOPBicuDpg/SLQSvvUpRf8f5LdJVbMv1Lef6H2fyxCP4PE6347P8aB3j2xfO7iuv/Vw5w/T6PGuaZ+4vWtAQvnpNwEf3sby8fn1+rfKFXMGUHrSeXlM+PaRU5V3CgggMVHKjgwJ9z4IVcwYhDQd7HF0Z6vK8u7TZawv+8WH8Qg2diL9qU6A/I/b/06p+ql7+TLsd9HjP1/6Se/065/pP0/+o3f5tnog/+cerlu2hFn/1jbr24b1+oFQw3VNb24QN8PuBPTk6WNLHYbYWLi/hj6322m2FlgL9+ERj/QqZU/mtqrH+dtv9WTMm3FBRKYYH830r1n07HYGBtmqeDTf3Teb/o6bMGGcMTKNmE/LHLfP79WOi/99Nk1INkfx/wjcHH2OBKBtb6ehLIS2hzmUG5GIKirKad0BL733Cy/e9Vwwuf0wslYHiFwsKFDSy3b9+OwsJCYVjJDjCrVKmC9u3bY926dZg7dy5q1qwpViKW1c1f5bTeoIXOKIe9jVJoFT3xPU+d/myPs1ycp+u1PBX8imduz9A8KpfkXyrMM7ROyn37NNrKRXgmD1nYP8Gbcp8+PX8xq36sjCLsWZpC5jTJZBBeEZRWtlCyb6nH0vjPVJe4io1Q6fSwUdrCSvZkuo/TpjNoQWCfcZbFPZfzT7TTyvFFNKunNqGn1fGf8/mxxIXiLft3kCE7Iw8Obi6ws2Y1e2nl9cd19mRaTwt5Gp0c7+nhJujZhYuVNZTCcv5pKUphrJ7Nasllr/JpSnpaZd+zeQB7ztBpZXCuZM8m83/eP8slUPHjeXLA0oueJw0ib+5oLFwY82XYsGGIj48Xhpcffvgh1q5dK8IGDBiA1NRUYWD5dwgmUwEOrluHO3oTUndswcbVO5AvvORKKyZLWpKtg9n2QPifsbyR7hYbEx78mF5ebfHgwz3PEl3YLYgBqWza5rg8aLJdgzmySE/YM/CAwWmU35wRaVkSZqcXwr5G6uk8++PBRNDM5BmKcX7/Jzj3UCO2eNi+Q8QRdJZP11wayfZDlOURTWwDwGmWpi1wshjpkG0cpHRE2c35Cx6IBKUy8ndcRktcfi/CGPa1tHwSv4iK8eOOQzidVABTcSq+mPwazhebYOK4bAsiESqVsZTnllDLSzNv+Sex3Y/0ncQ7EzR3f8fWl+bjqvbJdMvSxhDEfB199TV8/5sEZCZoKK3Lx/IV2T3OF6ncMplEh0SSFIerkcMtdS/aDA+45nJZWMN0c91xHeQ9uIaNn52Bjj+2tBm2tyEZin7dgDeXb0KOgfM0CRcinJYEPCfxxNJ0HrUjc7glLbbxKFuvZkTZsvTzAG8UNlhMq/Q905509BMcTMwFUQ6WvvEGfrz0QPDeUr5HeQq2in8sXK7sX4vhA3qi95Dx2HH6oVkQS5MVVpvPS76AmZOGo0+fgZi56gcUyOTQZp/HgmULcSqHhyvJtutRqhVPLzIHXggBw42cO8fChQvx5ptvYs+ePcKhJa9ceKuMLfhr1aqFli1bonXr1mCDS8vg8MfMNc/q5AVY9fJL+E0lh+HheaSl3YWDQg6jRiO5BDEPZcLpn14njMskI7Lyg4q0lSOHzGAQ9AqDSOG4UTKe4kGCjcvkMgM0ejb6srBXJp5NerXwGWUxUBPpsUEjb4WA0yg/uxNplZnxcXriJ+Oay4woUmnE9pL4ypSHL+bNxNe3dMI2g63M5WSAng27yqTxiF9SuE6jeVReMcrJRJqqoiIpbTFhlNBEuY70bBxnyb9YLRmFikSlMmrYj5kwepTKwjTrtCXQGMuUjwWB4JUeG5e/jV1nHkBhpceDS/th5SKHnL3WlnHIKOrFoBcC84myMC1smMY0mA1dpWe5xPOiDDy4egzWdnLINUWQmdPl6Pydnn3IGWWwMm9DPTz3Ax4yCBy/57hkgIFpfwoPuX4keyyAEQr4N1ehTisZy0kkSXG4vvSWdKSGItIsLioR/BRVb24/XHdc5oLbB/HKmx9Cy3mzEGG+ifaVj4XzvoWNTxi87BnXnduFFgUlZuA5bkuWtiLYwrxgrpjD5TJhNFja/tgYkfMWBn4kHMBKnnz5E96+ZCNMglbY80qOMPcvnYlVp7Ihkxnw008ncTutRBgIWpp82bZrmWxkXd2OQWNeQqV6ndDSJwOj+zbDuVz2KG1xQZyJhYMS8P1DJ7RqUQ8n5k3D7E9OwaVGNGxzzmPDxzsEPWwgXHH9L+HA8war0esZXYvohx9+4NGcTpw4IX5rtRJIF//gZ6PRSPPnz6fdu3eL9wxU9seXiaSkdbR6XD9ycbCn+oOn0Y+b36VmbcIpuEkrCg8MoD4jN5pBkAroszcHUFBQMAUFBtOcNYel5E1GkTf/2P16Jwro0ZMiI8IooNNQenneFGoUFU6B0W1o6QkJYOjM9ysFeFZwcBB1mPg2pRmI9AVJ9NLAhhQcGkxhoaE0dukeIlLTwhmDKLxxEDWIj6CgoAY045vLAlBLq5NQhDYtSKBuryyXQIdMqbR4SG969YOrlH39c6oTEUJhYWEU32kYXcoy0N1dk6iyjQN5thxNJ3JMdOGzVyg0KIiCg2rR8BmfUDEnKcoi8a341mHqVbc2BQeHUFhIE5r30TmRty7lMI1vW4tCQ8Mo0L8V7b6QQke+WkgxDWKoXsNoWrr/d0ras5HqB4ZQaFgoBbSfQRfyiCjvd5o+sBWFh4VQUEgofbDnOhmNmfTWiO4UHhlKAYHRNGz1EeKi6fQMnKWnHzfNJg83R/Lya0W//HaOXu1Rg3zb9aToiBAKCk6gUw+NREYdfTNhKEUEBVNIQG3qt2iPBAqmk9pN3pFt1L/ZYDpRSKS9up1imrSjA8mM1HacOnaeRCd+OUKTu/iSX9seVDs8mCJqT6DfconIkE7v9OtEIWFhFBpcl4avOCSAuLYMjKYPj94kRnfbO3McRQUGU0hgBHV582tScyMwGsxAZlra8O5Eim1ch2Ibx9MXiTl0e+sKahDAPA+i6P5LKYeIzq55nSL9oymsbj0KCwqlQZN2CvqLf99HPcLCRR0GxfSgT88xE/Np44eTqOWw3tQtrhuFBkWQg5MLjZ3ziagbo0Yj7mn7P6TWrfrSKQG0RXTqkwUUHRRCoSHBFDzyfSoovkVvjhtLK7+X0L9OfrWEeoz/lHT3f6ReM8dQh4aNaMbE7bR2+XiqEx9NsU2b0Q8PS+jqqrlU10x/w1GrqICI7mx7nRr2bEmhDRpQSEAAjZ63l1IvfETRDg7kGtqFvvv9Co3o0JcWr/qQ2nTrSgdStAIYL2nHfGrZcpkA4iKjBEq2cXgUhb72jSiDSZ1PvxzcR6nFErgYs1Z1eyfVqtmUkswgWmnbR5Ffo1nEnFEfnUexg/rR2WyOaRJgX/xUcb3YHOCtjOd2mQQEnCRA2rRpQ/Xq1RPoliw8LO+YOMvzzZs3KS0tTdBrMkoDZcnt47Tgtek0ddpL9NJLL9H0l6bRtOnvUVK+wCQUjVmVeoZa+VSlVWdzKPPgWxTkWp1WHblPDw+tp7recfTZfSMlfzGWPMMT6J6BSJv4KQV71qMdl0RrJqNZmG0c6E3VoqfQ/dwHNKxVMDlHjKBrqRm0dHwzajR4NhXmnqcaVQNp7a/csXOpX2xNGr/+EF0++im1HjBBdJSsXzaTa7VAuqNW0YxeEWQfnkBXMnNp85yeVKv5IBJDgk4MZfRg02vkUa0zHSsxke7aDmpUOZK+u3yJ2kXXoHGr9lNRUQ693C2S4scvJ1XuHRrn5UmT92WS9pcV5FezNf18m5ENT1PLgEiau/Wi4JteLQnuo1PGUKvJnwr+XJo/kkJjRlCSQUer+jpSZJs5lFVURBtGNKT6Iz6iXetGE5TVaOlXpyjn9iFq6OJLw7afp6Kih/Ry3XCqPWU7Hd7wMvmGdCLOMnH3W9RnyixK+mkuuYc0oSP5RLmntlL/XuPobCGPHnrSGol02tvUs0kTGr9sL+mNqTQ21IZajd5OeUUPaFpQTeq95Xe6te5VqubVno4yoOXNPRTvFUOzf2AJQqQ1MVLkCWoT24je+ymfUncNFJOUhN0lpN37Mvl1XUDJaZdpaIAtdZ/5A+XnJ9HwGjVp9Lc36Zf5CeQcMYBO5RdR8p4PyMc+ilaeL6TvE2Jp3eVUuvv5IvKr1IR+YCmRepxae0fShO0S6mOJYKGelk1rQlaOdWjr8URKO7uT6jn408LTPCyn0fiQMOr84Un6dVkC2diG0jdXcyjl4FrysY+klUcv0twGERQ5dSMVFRXRNxO6km3YJHqo0dDqoTFkF9adfrycTL98+Q5VD+5B1/O1EkKnBNFJh9+bSn36TBITI/WVHRRkW4Om7bpORSknKCwylj7dv4fGdmtPMzdJk549a2ZQWOuFpEs/QAH2jtRhzheUn5dFryXUJhuXZvTtxbt0b99GinQKo48S9US6mzSwRiD13nSXMneMpipONemLS6l05bO5FBDQiQ6k5dGq6BrUYclh0hkeUudGXWj97gM0q20ItXrvvBAAc2NrUM/534r2ZTRwnRvpo/7VyVXuRa3DwqmGhw9NX/YNlQj0Vqkvq2/tIl+3yrTzPgskHf28ZgBV7TiX8jgV9S/UIqIvbToqCU3Tiw7lKFpoxT/LHs5zWW/xNhdfiYmJ2L9/P6ZMmSLQK3lJzdswlsvyHBAQAC8vLynY/F6mtIXBaIBep4ZGo4VGpYNeZwtroS8m7e3aVfVGNTs7+Aa4Q52ci9ZjRmJAM1/4tGiOuKYeuHPxDg7/cBpFDgX4ZOHbWLb9KtKLf8OZWykWEsRdJq+MyStega9bdcRV8UbC4E4IrVoFzevGw1ujQ1LiRci1trjy9WosWrIKmod5SLySgshGnTGlRVW8++preOfT/9feuYBHVV17/DfvmcxkJi8wkBAgEAKSAPIUUF4WEQF5CSggKIogVUGMLQ8J6rUKqK0Klnstiq31olUpVERthfpERBGoIAqooLwUSEKSycyZ5/3WPjMQES6KtZDvO+f7kkzO7LP32v+9zl77sdb+L0czmagIVqNFGnPr9EkU1UunfdsutDOFFV+MuIEJ22GjcdfSNvMQH7/7JZ989j6HLh5Ol4p/8q1vICXjfoHHk8GvJ15BYP9mPg/5aNI5lfyGXjatWsvXlgAv/2keCx5ezf7wl3zw2TZVB6tNx/XC0hKGNd3PrNJZzFnxJvGsDKwVe1i/vgElC+eQ5fEwbuFLrPzNlVQejtFz1ERKRnSlZvdmDjTpwaJR7fF4cpn1h9sIv/0aFPameXwrk8fdwspdWcwtnUeT5m3pTRkzRlzHwvcqmFh6Nx1TZblHl8FmTyMtNZMGeblYY0GyCoqYft8o0jyNGPqrPhx56z1eObgTLcvPmt89wLz/fRUtfpgd725VdYlrMUxZHeman0P5zjVseO9r2pzfGu87a/jbyu0M715EmilGw7admFY6AJ+vBUOmXcTBN95i5VeVjJtwLV19HnL6T2DC0CZ8/Pq7BDzppAbLeWvvNsqzQqxf/ADzlvwVv72CnW9u1jFUexhxKqtSGVlyO2Muasn+PR/wkTvONy8t4v57F3IwPcj+Nz/kk4CJ0RNvZEDrDBr2GcfEMZ3Y+pcneMXWkt9PH4nH42HYw7NpE/2CT3ftpsbenNFD7uXy4hyy62XidtcnR47aTh4qBxwJlhOw2BB6rh2fboULBvHgkEI8Dbvx3usvM6BVJjGHHYdDcBYCPTcup6Quw1l/PL+99Wp8aalUVKZxw29mMrhdE3bu+ZAdvjifP/sQ8+Y/QZmvhq/e+YjdhyyMmzmT4W0bUDRiAG1bWdm5I0peDy/162Vjs1gIR8LY0psycuxADi1fSTT+KS985WXM0IsTR+mIHBoVByO4e/Zk8YdbeWfFZFbdOZwXt5WrJdpINIqzWV/uGdyNqYN7MrXkZsbe+gKVfvEWNRF3NsTjraayqky1gdTLuM59BH6Mr+/PVhtxPZY147S0BNnTKUqSPRmbkGnVukx2N4WtupBvBpusMzuiVFem40iYTtWVxTWq9eVkQkETPnsiOjgcIBYwYRP6q30mGqenY5f9EHsaU2+5i0va6EdiqzVi2WQPQJo6Vh+qhG42rpONVQUDRCwubFHhg6lPZrqNUMBM+8lTaNWrmLVL7mHmgk8YOf5iCgouIP/1L1R9EUoyTSc/qwkG8ctautRNDsmTTWd7AaN6p/DyK7/nwJZ3uPKO10kpn0s4xaaY+1RSLUY8YkF2cUIRM6luCO6NkeNOJ80hxFA2rr7mdoovFdY9iMQtWNGYP/c2nt1qZVTvTnTqeD7+QIRwWA4IFPZGlZRIzWF27Q4QMWVip77aoA7H5JDD1GPu3mF/JeHyGHkX/ILHli7i1Tc28faqx3lq7Uae//P/sGhlNitW/ZMtbyxj/PK3eWLZ01yaa1H9JeaoOpxSbQ8IaZby7pOOw4SQwdlCViKRMJlpbtyxAJopg4E3TOSCKwqVgBYhicPB0H71uePhmbxcPpwlyy5m6c1TmVXVmPnLu+MIf4ktasZlU5MbwsEItogcfJiCxZxoTIKEqkLYLW7FjigHFYquZfhceAigxX30HTuBVn2LdWCsolVy1H42jphX7Y0EtAipbjtp7iihsIM2l4xi2GW9if9tHVa7NYGXRjgcxOJM0zFUygnUVBLVrNhlDyRVQ/PqxHWaDMBqDbT0wlEU3EL+Jboi7iFyWKnuyGyibM8XBDNCmCpiWKulABPxsoNgbgCRIDSMUq24mgNgysUecymHjGAogs/jIM2uEYq46DxoLAVDuhJZ+zfcTmFiBJsWIBY0YY3GCYqu2PXuQ9pPi9lp3bM3BX++h3v/62vyOw+jSzM5AVltLKl2MntSaHzNfJoL10W32Qxst4zyw0I6lo5VDo+NxBk077fkrl3OuvI85l33CXful8NOE5d4ASY/G3/rBAJndQaTREg2+WU2I+yUyQ3B5HfJWY64LsuPXJJePFnkCpXt5YMP3+b99zewYcMGNqxbx4b1GymTHUl5ueQdi5mIVFexf/dRwtEowhKoD6LNhKOVVIcy6XV1CwLfpnJzaSmlY+vz8bv/IGxKdkCqKKKhAJqULTKEpLMQEiPJP6pcKX25BcQt39Jp5Azmzr2d8s83s/XbMnZt2YmjcAKlpaUUVW9i7zcH8PvleY2weLOpDCNENHGR1S+rRfdImjBpMtuWLeLR9ZnccKkHT/crMH/+PEteWI+mHWXekyuo3+ICWtX3UhE8yGsfHqbd8LbYK2IMmjKH0tl9OPDBq3yr71sTjUuTB1mzbjMXjpxK6dzZNPIE2LzrIDZvLq0KDvHILU9Ro5Wz8KrR3PT8h1gtYQKBSrVRnJ3XlLQvX+OBlz9F0/Zx3/Q/4L7ycrY8U8KtT/6LaTPn8MCMsRw+tI2P/vsBhs54nsumz2LxQ1PxBLawoUzfJNY7jTjx8BF279lLLBQhEg4QiSk0iIdqKLe76HpeU45U+Bh0Zylzru/L1jUfcSCkc+lIVSSftv2Hc2TfDjad35gO3TqCeSc7LU1oX1wfU00VWihIRDW4iVjYT4XZQ7c8E6ue+TPbgxr7XnmaJW99S9HATtgPHeCo00fn7Ob4y930nl1K6a2D2bVmI3sCOneQTCaUEQwfJaj5lXNGQV5rso5ayBkzh7ml0wi9s5mN++D8Bqm8sPQZXt9VzaF//oVnln9G8VWj6Vr9Pvc/vhpN03hxxm/5V3ZrivProVX6CWsygwdzNEh52V72VUZ08qyE91cjXz2yNA2hCCvIb07l5tXc+fbXBHauYuDo8Ww6bMFR+SXbd32C/8hGfn3PUuKIY0yEQLUYRtEBcb6oIBQMqNWC1rktcZbbaDm5lNLSiZSt3cj2Mge+eBC/FlLySMto4RpFimayBnl723Z16nUkpFFVFcCR05Me56dwz11/occNg2iQIh6JUhfRajMde3Xki/tnsq1MY9drD7Biu4XWRXkc3LSaRx57joqaA4y/bDTbW93KnCm9+PtnXzDsqotJEzOqfUPgaD2y3Pqx/WJYjevcR+CszmCSS18ZGbrSBAK6skvHLZcYG5mxCBmZGJeSkhJ1T2Y7yWe9rfryu4V9T4m00m1LLoMuy+CP82dSr0cz8rMTdjXmIqd1Gzy+MPkjFjFpfXfaF6zGGtW4fPJDdGviUt47ycyzcptRk6LPoHJy84llCaMf+DIaUNAwwHlN+/L0gv5cfUlLbneYyO48jD8N6IY75xpWjJtDYeHddOzXk37FzVjx0Dpyi4uwpuqdpc+XTevGFYmRrnhyWXTa1lYDubZtF7b0+CVNJT4ksyd/XDCda2dP4MV5kNqyG4tnTsZmstF/6BAmPjiDd1Y/yeKbLuPKC1rgsAQpvuQWhvTKU4ySavCNlwdn3MikO2+k8LHzaNfvYi60LGfp6k+Ys/QlPh0+ns4dHiaQeSHLZo+hYsVj5OU2UHV1tRjAwoVbmDh1MM85zATyh/LSfSNovjeTZU/fRIsWT2G2OBhz51JGD0nlr0OuoVeLFrgsDjpcMpfb2ug0B3aTqJ6P3p2bcN/jv2HdJb+jcfOWpCSaxnteARlHfXSZNJ+73ruKQQWFWGIWCkaVMrZjhjrSXoJtxd5bG3RicL++9O7bErO5HsX9R3BlvA2NxfPJ5CInrykula+J9IbN8TobMHDafazdMIYhHdpjjqYw4P5HmFjo5BVfI5zBGMXX3cX8jeMZo8o1kTPoVyzska2OX1ejbcxk5xYSycpSuNS/6BqWlO5kSs/mPCghVi1GtUAOfQAABmlJREFUs6Z/C3Y9asWqfcb0UT0wHw3RveR+JnXrQNnvSxk1dg7tX7wLzV3Ekqdmku4AT8NCchvrhqxBsyJyTI/x4II/8od7r8cSExd0Jx0vasX2f6zkja9gYPurWbJgG7fc0I8V5gidrpnDiM7dKBg7mJseuZnubznI69oJd+N6WOxxmhXn41TjJgs5jVtiy9JXDZoOupnFv9zN9E4FzDLHcXW4nr939/LN9vrkpGYluvNU8tq0wpvlo8/w8QRvXsQTVy2kU1ERHlEsi5sBHbszKz1M287tlS4LtbPi+gP6TH2EOz4fz/CLOkDYwrWPLqbPeXY2vfYBL68+wvApI5g2+SKuG9aaR63Q4tLpPD6yj8rnyLp/8E12GfmFQhYosyIFu/HrHEfgrAZaigGRH5mRjBs3TsW4vPrqq7hcOrWrYLdjxw7kXq9evRT5mMxoxMCc0SUDqdMoZtBfhdmVisSunfEVraE6ZMfjqm2/Q/gDJtwu3UBJvMDJXF9PLPOUIkc1KqvDeH2J0fxJqhYJ+gmbUnCptfgTc4ZYOEgwbiUlsdQhbZE03IGAhsv1XUpfyeGYPNEayirjZKTrnWEy95qqSnB4Sak1+fNXHiVqd+N11sYj+cQP+xsK+Inb3Ti+H9T+wzI4RapA5VFiTh9ukTfhPixJk/UMB/1ErSk4dct8ilyOpycawB+yHmvnxydfznpvf55ccAuhYAS7YHCsnAjl5TWkpXuVWh67/f+UIm7iNoufu0cMZU/XKSyePgzVSvEQwYgdZ+0V5FgIzWTnFM3/nVKS9Y2FawjGHKScAdCVB7exqGQq70f78cyyO3BL1H6Cp6Z2YcHqKmLOVFKUOiRLrpUiUkNVyEZqik2HKvwNUyZewZHWM3juV0MR/hqz5cx1qVZJxsefGYGz2krSmUmnJiNRCaicNm0aY8aMoV27dni9XhwOh4p5SRoXSXumxkUC13QGKx3RZEcqAWEyfZclCfnsdAu3vO4ckEyTbAOVRyLWQf+cCHZUhlLiKvT6YEnBI5OfZIetoqztuNU9CQTU4yrke7lUOSpY8/v1E3soZUlwZzJORj1nceD1OVRnlYx61/PTo86lLlanW9HGnjyCOo7Z5kQx0IucSTkSdRfjIs/pmOlr31K+kkfktqSQka7XUcCTQFG5nZIqtK56IKWkl9gNt9en6nkqOXQMpJ6KMepYGYKO5CH37S4xZMfzVRnW+lUbI6m7wljtX+jLNIpgTXJQbaHnK7K5ErLJZ70s2fdI6EMsjs3pRvrs5Pe1ilR56bIfx8VkceF2SSxJDJvdTG6zIurFMgjGYjgdOrGZGlhIe2MlPd2rt2HipIPa+qjqm1BbpaCYsCIBr6nMuPtaSp7fx+FAhIZO4QcR43Jcb5UumO04jgXais4p/qxjAxuFt4pzOi6/2Zai60RyAJTAUn8X9EBRFS+TwFEgVltF5girFs7h2U8d3LdoEh4JiIxbEntDx1ETuZyeE94xpfu13h9rCqlWWXmOYrZY8O/7mPRGXRgzYah6R+WIGuOqGwic1RlMEiJRumRnLt5kfr8ft9utgti6d++uDM1PmrkkC/oBf2vL8gOSnyKJvOjfP17k9CPUU2R3itunlVU6gYRROHkWYjj0zuXE708v6/HOrPazIpNucI7fVfdOc1TM8dQn/3Taup78sdPePa1sp8XwxCISuIiZNEHgaDmBuIP0tBRMJwH1TOqVbLWa8mqsnhTsNpluJ++eKM+P/f9M84myb+fnxDIa0ihTZtUnmZkkRFGYn04va70/WiBAJGzF7bUYR8X82OY8y+nPCQMjGIgBESOTNDS1cflPGZfaZRqfDQTOZQRONhs8V+T9ocu/P1be5IT6xz5npD97CJwzBkYgkJGNGJPklTQ4JzM6yTTGXwOBcxkBfYaUWAb9Nwt6JrOff7MI38lOLVMmln+/88VP/ufks+WfnK2Rwc+OwDllYH722hoFGAgYCBgIGAj8xxD4Kb5S/zEhjYIMBAwEDAQMBOoeAoaBqXttZkhsIGAgYCBQJxAwDEydaCZDSAMBAwEDgbqHgGFg6l6bGRIbCBgIGAjUCQQMA1MnmskQ0kDAQMBAoO4hYBiYutdmhsQGAgYCBgJ1AgHDwNSJZjKENBAwEDAQqHsIGAam7rWZIbGBgIGAgUCdQMAwMHWimQwhDQQMBAwE6h4C/wcNf1616KmhqgAAAABJRU5ErkJggg=="
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)\n",
    "\n",
    "\n",
    "                  Source: http://trailerpark.weebly.com/imdb-rating.html?source=post_page---------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate all the components based on the above formula\n",
    "v=movies_cleaned_df['vote_count']\n",
    "R=movies_cleaned_df['vote_average']\n",
    "C=movies_cleaned_df['vote_average'].mean()\n",
    "m=movies_cleaned_df['vote_count'].quantile(0.60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "movies_cleaned_df['weighted_average']=((R*v)+ (C*m))/(v+m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>genres</th>\n",
       "      <th>id</th>\n",
       "      <th>keywords</th>\n",
       "      <th>original_language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>spoken_languages</th>\n",
       "      <th>tagline</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "      <th>weighted_average</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>237000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>19995</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
       "      <td>2009-12-10</td>\n",
       "      <td>2787965087</td>\n",
       "      <td>162.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...</td>\n",
       "      <td>Enter the World of Pandora.</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</td>\n",
       "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
       "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
       "      <td>7.166301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>300000000</td>\n",
       "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
       "      <td>285</td>\n",
       "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
       "      <td>en</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
       "      <td>2007-05-19</td>\n",
       "      <td>961000000</td>\n",
       "      <td>169.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>At the end of the world, the adventure begins.</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4500</td>\n",
       "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
       "      <td>6.838594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>245000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>206647</td>\n",
       "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
       "      <td>en</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>107.376788</td>\n",
       "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...</td>\n",
       "      <td>2015-10-26</td>\n",
       "      <td>880674609</td>\n",
       "      <td>148.0</td>\n",
       "      <td>[{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...</td>\n",
       "      <td>A Plan No One Escapes</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4466</td>\n",
       "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
       "      <td>[{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...</td>\n",
       "      <td>6.284091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>250000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
       "      <td>49026</td>\n",
       "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
       "      <td>en</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>Following the death of District Attorney Harve...</td>\n",
       "      <td>112.312950</td>\n",
       "      <td>[{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...</td>\n",
       "      <td>2012-07-16</td>\n",
       "      <td>1084939099</td>\n",
       "      <td>165.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>The Legend Ends</td>\n",
       "      <td>7.6</td>\n",
       "      <td>9106</td>\n",
       "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
       "      <td>7.541095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>260000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>49529</td>\n",
       "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>John Carter is a war-weary, former military ca...</td>\n",
       "      <td>43.926995</td>\n",
       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}]</td>\n",
       "      <td>2012-03-07</td>\n",
       "      <td>284139100</td>\n",
       "      <td>132.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Lost in our world, found in another.</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2124</td>\n",
       "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
       "      <td>[{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...</td>\n",
       "      <td>6.098838</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget                                             genres      id  \\\n",
       "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   19995   \n",
       "1  300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...     285   \n",
       "2  245000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...  206647   \n",
       "3  250000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   49026   \n",
       "4  260000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   49529   \n",
       "\n",
       "                                            keywords original_language  \\\n",
       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...                en   \n",
       "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...                en   \n",
       "2  [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...                en   \n",
       "3  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...                en   \n",
       "4  [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...                en   \n",
       "\n",
       "                             original_title  \\\n",
       "0                                    Avatar   \n",
       "1  Pirates of the Caribbean: At World's End   \n",
       "2                                   Spectre   \n",
       "3                     The Dark Knight Rises   \n",
       "4                               John Carter   \n",
       "\n",
       "                                            overview  popularity  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
       "2  A cryptic message from Bond’s past sends him o...  107.376788   \n",
       "3  Following the death of District Attorney Harve...  112.312950   \n",
       "4  John Carter is a war-weary, former military ca...   43.926995   \n",
       "\n",
       "                                production_companies release_date     revenue  \\\n",
       "0  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...   2009-12-10  2787965087   \n",
       "1  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...   2007-05-19   961000000   \n",
       "2  [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...   2015-10-26   880674609   \n",
       "3  [{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...   2012-07-16  1084939099   \n",
       "4        [{\"name\": \"Walt Disney Pictures\", \"id\": 2}]   2012-03-07   284139100   \n",
       "\n",
       "   runtime                                   spoken_languages  \\\n",
       "0    162.0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...   \n",
       "1    169.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "2    148.0  [{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...   \n",
       "3    165.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "4    132.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "\n",
       "                                          tagline  vote_average  vote_count  \\\n",
       "0                     Enter the World of Pandora.           7.2       11800   \n",
       "1  At the end of the world, the adventure begins.           6.9        4500   \n",
       "2                           A Plan No One Escapes           6.3        4466   \n",
       "3                                 The Legend Ends           7.6        9106   \n",
       "4            Lost in our world, found in another.           6.1        2124   \n",
       "\n",
       "                                                cast  \\\n",
       "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
       "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
       "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
       "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
       "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
       "\n",
       "                                                crew  weighted_average  \n",
       "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...          7.166301  \n",
       "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...          6.838594  \n",
       "2  [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...          6.284091  \n",
       "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...          7.541095  \n",
       "4  [{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...          6.098838  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies_cleaned_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sorting the data as per the calculated \"weighted_average\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>original_title</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>weighted_average</th>\n",
       "      <th>popularity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1881</th>\n",
       "      <td>The Shawshank Redemption</td>\n",
       "      <td>8205</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.396052</td>\n",
       "      <td>136.747729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3337</th>\n",
       "      <td>The Godfather</td>\n",
       "      <td>5893</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.263591</td>\n",
       "      <td>143.659698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>Fight Club</td>\n",
       "      <td>9413</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.216455</td>\n",
       "      <td>146.757391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3232</th>\n",
       "      <td>Pulp Fiction</td>\n",
       "      <td>8428</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.207102</td>\n",
       "      <td>121.463076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>The Dark Knight</td>\n",
       "      <td>12002</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.136930</td>\n",
       "      <td>187.322927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1818</th>\n",
       "      <td>Schindler's List</td>\n",
       "      <td>4329</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.126069</td>\n",
       "      <td>104.469351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3865</th>\n",
       "      <td>Whiplash</td>\n",
       "      <td>4254</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.123248</td>\n",
       "      <td>192.528841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>809</th>\n",
       "      <td>Forrest Gump</td>\n",
       "      <td>7927</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.105954</td>\n",
       "      <td>138.133331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2294</th>\n",
       "      <td>千と千尋の神隠し</td>\n",
       "      <td>3840</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.105867</td>\n",
       "      <td>118.968562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2731</th>\n",
       "      <td>The Godfather: Part II</td>\n",
       "      <td>3338</td>\n",
       "      <td>8.3</td>\n",
       "      <td>8.079586</td>\n",
       "      <td>105.792936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990</th>\n",
       "      <td>The Empire Strikes Back</td>\n",
       "      <td>5879</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.075133</td>\n",
       "      <td>78.517830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Inception</td>\n",
       "      <td>13752</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.047367</td>\n",
       "      <td>167.583710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Interstellar</td>\n",
       "      <td>10867</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.033854</td>\n",
       "      <td>724.247784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>The Green Mile</td>\n",
       "      <td>4048</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.023386</td>\n",
       "      <td>103.698022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>The Lord of the Rings: The Return of the King</td>\n",
       "      <td>8064</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.011871</td>\n",
       "      <td>123.630332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2912</th>\n",
       "      <td>Star Wars</td>\n",
       "      <td>6624</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.993727</td>\n",
       "      <td>126.393695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1553</th>\n",
       "      <td>Se7en</td>\n",
       "      <td>5765</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.978847</td>\n",
       "      <td>79.579532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1847</th>\n",
       "      <td>GoodFellas</td>\n",
       "      <td>3128</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.976937</td>\n",
       "      <td>63.654244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3057</th>\n",
       "      <td>American History X</td>\n",
       "      <td>3016</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.969559</td>\n",
       "      <td>73.567232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3719</th>\n",
       "      <td>One Flew Over the Cuckoo's Nest</td>\n",
       "      <td>2919</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.962764</td>\n",
       "      <td>127.525581</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     original_title  vote_count  vote_average  \\\n",
       "1881                       The Shawshank Redemption        8205           8.5   \n",
       "3337                                  The Godfather        5893           8.4   \n",
       "662                                      Fight Club        9413           8.3   \n",
       "3232                                   Pulp Fiction        8428           8.3   \n",
       "65                                  The Dark Knight       12002           8.2   \n",
       "1818                               Schindler's List        4329           8.3   \n",
       "3865                                       Whiplash        4254           8.3   \n",
       "809                                    Forrest Gump        7927           8.2   \n",
       "2294                                       千と千尋の神隠し        3840           8.3   \n",
       "2731                         The Godfather: Part II        3338           8.3   \n",
       "1990                        The Empire Strikes Back        5879           8.2   \n",
       "96                                        Inception       13752           8.1   \n",
       "95                                     Interstellar       10867           8.1   \n",
       "690                                  The Green Mile        4048           8.2   \n",
       "329   The Lord of the Rings: The Return of the King        8064           8.1   \n",
       "2912                                      Star Wars        6624           8.1   \n",
       "1553                                          Se7en        5765           8.1   \n",
       "1847                                     GoodFellas        3128           8.2   \n",
       "3057                             American History X        3016           8.2   \n",
       "3719                One Flew Over the Cuckoo's Nest        2919           8.2   \n",
       "\n",
       "      weighted_average  popularity  \n",
       "1881          8.396052  136.747729  \n",
       "3337          8.263591  143.659698  \n",
       "662           8.216455  146.757391  \n",
       "3232          8.207102  121.463076  \n",
       "65            8.136930  187.322927  \n",
       "1818          8.126069  104.469351  \n",
       "3865          8.123248  192.528841  \n",
       "809           8.105954  138.133331  \n",
       "2294          8.105867  118.968562  \n",
       "2731          8.079586  105.792936  \n",
       "1990          8.075133   78.517830  \n",
       "96            8.047367  167.583710  \n",
       "95            8.033854  724.247784  \n",
       "690           8.023386  103.698022  \n",
       "329           8.011871  123.630332  \n",
       "2912          7.993727  126.393695  \n",
       "1553          7.978847   79.579532  \n",
       "1847          7.976937   63.654244  \n",
       "3057          7.969559   73.567232  \n",
       "3719          7.962764  127.525581  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_sorted_ranking=movies_cleaned_df.sort_values('weighted_average',ascending=False)\n",
    "movie_sorted_ranking[['original_title', 'vote_count', 'vote_average', 'weighted_average', 'popularity']].head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting the movies with highest \"weighted_average\" rating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "weight_average=movie_sorted_ranking.sort_values('weighted_average',ascending=False)\n",
    "plt.figure(figsize=(12,6))\n",
    "axis1=sns.barplot(x=weight_average['weighted_average'].head(10), y=weight_average['original_title'].head(10), data=weight_average)\n",
    "plt.xlim(4, 10)\n",
    "plt.title('Best Movies by average votes', weight='bold')\n",
    "plt.xlabel('Weighted Average Score', weight='bold')\n",
    "plt.ylabel('Movie Title', weight='bold')\n",
    "plt.savefig('best_movies.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting the most popular movies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "popularity=movie_sorted_ranking.sort_values('popularity',ascending=False)\n",
    "plt.figure(figsize=(12,6))\n",
    "ax=sns.barplot(x=popularity['popularity'].head(10), y=popularity['original_title'].head(10), data=popularity)\n",
    "\n",
    "plt.title('Most Popular by Votes', weight='bold')\n",
    "plt.xlabel('Score of Popularity', weight='bold')\n",
    "plt.ylabel('Movie Title', weight='bold')\n",
    "plt.savefig('best_popular_movies.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>genres</th>\n",
       "      <th>id</th>\n",
       "      <th>keywords</th>\n",
       "      <th>original_language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>spoken_languages</th>\n",
       "      <th>tagline</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "      <th>weighted_average</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>546</th>\n",
       "      <td>74000000</td>\n",
       "      <td>[{\"id\": 10751, \"name\": \"Family\"}, {\"id\": 16, \"...</td>\n",
       "      <td>211672</td>\n",
       "      <td>[{\"id\": 3487, \"name\": \"assistant\"}, {\"id\": 179...</td>\n",
       "      <td>en</td>\n",
       "      <td>Minions</td>\n",
       "      <td>Minions Stuart, Kevin and Bob are recruited by...</td>\n",
       "      <td>875.581305</td>\n",
       "      <td>[{\"name\": \"Universal Pictures\", \"id\": 33}, {\"n...</td>\n",
       "      <td>2015-06-17</td>\n",
       "      <td>1156730962</td>\n",
       "      <td>91.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Before Gru, they had a history of bad bosses</td>\n",
       "      <td>6.4</td>\n",
       "      <td>4571</td>\n",
       "      <td>[{\"cast_id\": 22, \"character\": \"Scarlet Overkil...</td>\n",
       "      <td>[{\"credit_id\": \"5431b2b10e0a2656e20026c7\", \"de...</td>\n",
       "      <td>6.376937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>165000000</td>\n",
       "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 18, \"...</td>\n",
       "      <td>157336</td>\n",
       "      <td>[{\"id\": 83, \"name\": \"saving the world\"}, {\"id\"...</td>\n",
       "      <td>en</td>\n",
       "      <td>Interstellar</td>\n",
       "      <td>Interstellar chronicles the adventures of a gr...</td>\n",
       "      <td>724.247784</td>\n",
       "      <td>[{\"name\": \"Paramount Pictures\", \"id\": 4}, {\"na...</td>\n",
       "      <td>2014-11-05</td>\n",
       "      <td>675120017</td>\n",
       "      <td>169.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Mankind was born on Earth. It was never meant ...</td>\n",
       "      <td>8.1</td>\n",
       "      <td>10867</td>\n",
       "      <td>[{\"cast_id\": 9, \"character\": \"Joseph Cooper\", ...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4bbf9251416c910e4801\", \"de...</td>\n",
       "      <td>8.033854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>788</th>\n",
       "      <td>58000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>293660</td>\n",
       "      <td>[{\"id\": 2095, \"name\": \"anti hero\"}, {\"id\": 307...</td>\n",
       "      <td>en</td>\n",
       "      <td>Deadpool</td>\n",
       "      <td>Deadpool tells the origin story of former Spec...</td>\n",
       "      <td>514.569956</td>\n",
       "      <td>[{\"name\": \"Twentieth Century Fox Film Corporat...</td>\n",
       "      <td>2016-02-09</td>\n",
       "      <td>783112979</td>\n",
       "      <td>108.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Witness the beginning of a happy ending</td>\n",
       "      <td>7.4</td>\n",
       "      <td>10995</td>\n",
       "      <td>[{\"cast_id\": 99, \"character\": \"Wade Wilson / D...</td>\n",
       "      <td>[{\"credit_id\": \"56c986b2925141172f0068b6\", \"de...</td>\n",
       "      <td>7.357400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>170000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 878, \"na...</td>\n",
       "      <td>118340</td>\n",
       "      <td>[{\"id\": 8828, \"name\": \"marvel comic\"}, {\"id\": ...</td>\n",
       "      <td>en</td>\n",
       "      <td>Guardians of the Galaxy</td>\n",
       "      <td>Light years from Earth, 26 years after being a...</td>\n",
       "      <td>481.098624</td>\n",
       "      <td>[{\"name\": \"Marvel Studios\", \"id\": 420}, {\"name...</td>\n",
       "      <td>2014-07-30</td>\n",
       "      <td>773328629</td>\n",
       "      <td>121.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>All heroes start somewhere.</td>\n",
       "      <td>7.9</td>\n",
       "      <td>9742</td>\n",
       "      <td>[{\"cast_id\": 1, \"character\": \"Peter Quill / St...</td>\n",
       "      <td>[{\"credit_id\": \"538ce329c3a3687155003358\", \"de...</td>\n",
       "      <td>7.833817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>150000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>76341</td>\n",
       "      <td>[{\"id\": 2964, \"name\": \"future\"}, {\"id\": 3713, ...</td>\n",
       "      <td>en</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>An apocalyptic story set in the furthest reach...</td>\n",
       "      <td>434.278564</td>\n",
       "      <td>[{\"name\": \"Village Roadshow Pictures\", \"id\": 7...</td>\n",
       "      <td>2015-05-13</td>\n",
       "      <td>378858340</td>\n",
       "      <td>120.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>What a Lovely Day.</td>\n",
       "      <td>7.2</td>\n",
       "      <td>9427</td>\n",
       "      <td>[{\"cast_id\": 2, \"character\": \"Max Rockatansky\"...</td>\n",
       "      <td>[{\"credit_id\": \"577da370c3a36817f8003838\", \"de...</td>\n",
       "      <td>7.158139</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        budget                                             genres      id  \\\n",
       "546   74000000  [{\"id\": 10751, \"name\": \"Family\"}, {\"id\": 16, \"...  211672   \n",
       "95   165000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 18, \"...  157336   \n",
       "788   58000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...  293660   \n",
       "94   170000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 878, \"na...  118340   \n",
       "127  150000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   76341   \n",
       "\n",
       "                                              keywords original_language  \\\n",
       "546  [{\"id\": 3487, \"name\": \"assistant\"}, {\"id\": 179...                en   \n",
       "95   [{\"id\": 83, \"name\": \"saving the world\"}, {\"id\"...                en   \n",
       "788  [{\"id\": 2095, \"name\": \"anti hero\"}, {\"id\": 307...                en   \n",
       "94   [{\"id\": 8828, \"name\": \"marvel comic\"}, {\"id\": ...                en   \n",
       "127  [{\"id\": 2964, \"name\": \"future\"}, {\"id\": 3713, ...                en   \n",
       "\n",
       "              original_title  \\\n",
       "546                  Minions   \n",
       "95              Interstellar   \n",
       "788                 Deadpool   \n",
       "94   Guardians of the Galaxy   \n",
       "127       Mad Max: Fury Road   \n",
       "\n",
       "                                              overview  popularity  \\\n",
       "546  Minions Stuart, Kevin and Bob are recruited by...  875.581305   \n",
       "95   Interstellar chronicles the adventures of a gr...  724.247784   \n",
       "788  Deadpool tells the origin story of former Spec...  514.569956   \n",
       "94   Light years from Earth, 26 years after being a...  481.098624   \n",
       "127  An apocalyptic story set in the furthest reach...  434.278564   \n",
       "\n",
       "                                  production_companies release_date  \\\n",
       "546  [{\"name\": \"Universal Pictures\", \"id\": 33}, {\"n...   2015-06-17   \n",
       "95   [{\"name\": \"Paramount Pictures\", \"id\": 4}, {\"na...   2014-11-05   \n",
       "788  [{\"name\": \"Twentieth Century Fox Film Corporat...   2016-02-09   \n",
       "94   [{\"name\": \"Marvel Studios\", \"id\": 420}, {\"name...   2014-07-30   \n",
       "127  [{\"name\": \"Village Roadshow Pictures\", \"id\": 7...   2015-05-13   \n",
       "\n",
       "        revenue  runtime                          spoken_languages  \\\n",
       "546  1156730962     91.0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "95    675120017    169.0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "788   783112979    108.0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "94    773328629    121.0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "127   378858340    120.0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "\n",
       "                                               tagline  vote_average  \\\n",
       "546       Before Gru, they had a history of bad bosses           6.4   \n",
       "95   Mankind was born on Earth. It was never meant ...           8.1   \n",
       "788            Witness the beginning of a happy ending           7.4   \n",
       "94                         All heroes start somewhere.           7.9   \n",
       "127                                 What a Lovely Day.           7.2   \n",
       "\n",
       "     vote_count                                               cast  \\\n",
       "546        4571  [{\"cast_id\": 22, \"character\": \"Scarlet Overkil...   \n",
       "95        10867  [{\"cast_id\": 9, \"character\": \"Joseph Cooper\", ...   \n",
       "788       10995  [{\"cast_id\": 99, \"character\": \"Wade Wilson / D...   \n",
       "94         9742  [{\"cast_id\": 1, \"character\": \"Peter Quill / St...   \n",
       "127        9427  [{\"cast_id\": 2, \"character\": \"Max Rockatansky\"...   \n",
       "\n",
       "                                                  crew  weighted_average  \n",
       "546  [{\"credit_id\": \"5431b2b10e0a2656e20026c7\", \"de...          6.376937  \n",
       "95   [{\"credit_id\": \"52fe4bbf9251416c910e4801\", \"de...          8.033854  \n",
       "788  [{\"credit_id\": \"56c986b2925141172f0068b6\", \"de...          7.357400  \n",
       "94   [{\"credit_id\": \"538ce329c3a3687155003358\", \"de...          7.833817  \n",
       "127  [{\"credit_id\": \"577da370c3a36817f8003838\", \"de...          7.158139  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "popularity.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Recommendation based on scaled weighted average and popularity score(Priority is given 50% to both)\n",
    "\n",
    "As we know that the most critically acclaimed movies might not necessarily be something that the masses are looking for(Indian market especially) we consider both the popularity as well as the \"weighted_average\" for our recommendation system."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "        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>weighted_average</th>\n",
       "      <th>popularity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.698297</td>\n",
       "      <td>0.171815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.617898</td>\n",
       "      <td>0.158846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.481858</td>\n",
       "      <td>0.122635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.790248</td>\n",
       "      <td>0.128272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.436409</td>\n",
       "      <td>0.050169</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   weighted_average  popularity\n",
       "0          0.698297    0.171815\n",
       "1          0.617898    0.158846\n",
       "2          0.481858    0.122635\n",
       "3          0.790248    0.128272\n",
       "4          0.436409    0.050169"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaling=MinMaxScaler()\n",
    "movie_scaled_df=scaling.fit_transform(movies_cleaned_df[['weighted_average','popularity']])\n",
    "movie_normalized_df=pd.DataFrame(movie_scaled_df,columns=['weighted_average','popularity'])\n",
    "movie_normalized_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "movies_cleaned_df[['normalized_weight_average','normalized_popularity']]= movie_normalized_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>genres</th>\n",
       "      <th>id</th>\n",
       "      <th>keywords</th>\n",
       "      <th>original_language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>...</th>\n",
       "      <th>runtime</th>\n",
       "      <th>spoken_languages</th>\n",
       "      <th>tagline</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "      <th>weighted_average</th>\n",
       "      <th>normalized_weight_average</th>\n",
       "      <th>normalized_popularity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>237000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>19995</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
       "      <td>2009-12-10</td>\n",
       "      <td>...</td>\n",
       "      <td>162.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...</td>\n",
       "      <td>Enter the World of Pandora.</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</td>\n",
       "      <td>[{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...</td>\n",
       "      <td>[{\"credit_id\": \"52fe48009251416c750aca23\", \"de...</td>\n",
       "      <td>7.166301</td>\n",
       "      <td>0.698297</td>\n",
       "      <td>0.171815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>300000000</td>\n",
       "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
       "      <td>285</td>\n",
       "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
       "      <td>en</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
       "      <td>2007-05-19</td>\n",
       "      <td>...</td>\n",
       "      <td>169.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>At the end of the world, the adventure begins.</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4500</td>\n",
       "      <td>[{\"cast_id\": 4, \"character\": \"Captain Jack Spa...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...</td>\n",
       "      <td>6.838594</td>\n",
       "      <td>0.617898</td>\n",
       "      <td>0.158846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>245000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>206647</td>\n",
       "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
       "      <td>en</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>A cryptic message from Bond’s past sends him o...</td>\n",
       "      <td>107.376788</td>\n",
       "      <td>[{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...</td>\n",
       "      <td>2015-10-26</td>\n",
       "      <td>...</td>\n",
       "      <td>148.0</td>\n",
       "      <td>[{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...</td>\n",
       "      <td>A Plan No One Escapes</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4466</td>\n",
       "      <td>[{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...</td>\n",
       "      <td>[{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...</td>\n",
       "      <td>6.284091</td>\n",
       "      <td>0.481858</td>\n",
       "      <td>0.122635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>250000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...</td>\n",
       "      <td>49026</td>\n",
       "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
       "      <td>en</td>\n",
       "      <td>The Dark Knight Rises</td>\n",
       "      <td>Following the death of District Attorney Harve...</td>\n",
       "      <td>112.312950</td>\n",
       "      <td>[{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...</td>\n",
       "      <td>2012-07-16</td>\n",
       "      <td>...</td>\n",
       "      <td>165.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>The Legend Ends</td>\n",
       "      <td>7.6</td>\n",
       "      <td>9106</td>\n",
       "      <td>[{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...</td>\n",
       "      <td>[{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...</td>\n",
       "      <td>7.541095</td>\n",
       "      <td>0.790248</td>\n",
       "      <td>0.128272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>260000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>49529</td>\n",
       "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>John Carter</td>\n",
       "      <td>John Carter is a war-weary, former military ca...</td>\n",
       "      <td>43.926995</td>\n",
       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}]</td>\n",
       "      <td>2012-03-07</td>\n",
       "      <td>...</td>\n",
       "      <td>132.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Lost in our world, found in another.</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2124</td>\n",
       "      <td>[{\"cast_id\": 5, \"character\": \"John Carter\", \"c...</td>\n",
       "      <td>[{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...</td>\n",
       "      <td>6.098838</td>\n",
       "      <td>0.436409</td>\n",
       "      <td>0.050169</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget                                             genres      id  \\\n",
       "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   19995   \n",
       "1  300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...     285   \n",
       "2  245000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...  206647   \n",
       "3  250000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam...   49026   \n",
       "4  260000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   49529   \n",
       "\n",
       "                                            keywords original_language  \\\n",
       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...                en   \n",
       "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...                en   \n",
       "2  [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...                en   \n",
       "3  [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...                en   \n",
       "4  [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...                en   \n",
       "\n",
       "                             original_title  \\\n",
       "0                                    Avatar   \n",
       "1  Pirates of the Caribbean: At World's End   \n",
       "2                                   Spectre   \n",
       "3                     The Dark Knight Rises   \n",
       "4                               John Carter   \n",
       "\n",
       "                                            overview  popularity  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
       "2  A cryptic message from Bond’s past sends him o...  107.376788   \n",
       "3  Following the death of District Attorney Harve...  112.312950   \n",
       "4  John Carter is a war-weary, former military ca...   43.926995   \n",
       "\n",
       "                                production_companies release_date  ...  \\\n",
       "0  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...   2009-12-10  ...   \n",
       "1  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...   2007-05-19  ...   \n",
       "2  [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam...   2015-10-26  ...   \n",
       "3  [{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"...   2012-07-16  ...   \n",
       "4        [{\"name\": \"Walt Disney Pictures\", \"id\": 2}]   2012-03-07  ...   \n",
       "\n",
       "   runtime                                   spoken_languages  \\\n",
       "0    162.0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...   \n",
       "1    169.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "2    148.0  [{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},...   \n",
       "3    165.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "4    132.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]   \n",
       "\n",
       "                                          tagline vote_average  vote_count  \\\n",
       "0                     Enter the World of Pandora.          7.2       11800   \n",
       "1  At the end of the world, the adventure begins.          6.9        4500   \n",
       "2                           A Plan No One Escapes          6.3        4466   \n",
       "3                                 The Legend Ends          7.6        9106   \n",
       "4            Lost in our world, found in another.          6.1        2124   \n",
       "\n",
       "                                                cast  \\\n",
       "0  [{\"cast_id\": 242, \"character\": \"Jake Sully\", \"...   \n",
       "1  [{\"cast_id\": 4, \"character\": \"Captain Jack Spa...   \n",
       "2  [{\"cast_id\": 1, \"character\": \"James Bond\", \"cr...   \n",
       "3  [{\"cast_id\": 2, \"character\": \"Bruce Wayne / Ba...   \n",
       "4  [{\"cast_id\": 5, \"character\": \"John Carter\", \"c...   \n",
       "\n",
       "                                                crew weighted_average  \\\n",
       "0  [{\"credit_id\": \"52fe48009251416c750aca23\", \"de...         7.166301   \n",
       "1  [{\"credit_id\": \"52fe4232c3a36847f800b579\", \"de...         6.838594   \n",
       "2  [{\"credit_id\": \"54805967c3a36829b5002c41\", \"de...         6.284091   \n",
       "3  [{\"credit_id\": \"52fe4781c3a36847f81398c3\", \"de...         7.541095   \n",
       "4  [{\"credit_id\": \"52fe479ac3a36847f813eaa3\", \"de...         6.098838   \n",
       "\n",
       "   normalized_weight_average  normalized_popularity  \n",
       "0                   0.698297               0.171815  \n",
       "1                   0.617898               0.158846  \n",
       "2                   0.481858               0.122635  \n",
       "3                   0.790248               0.128272  \n",
       "4                   0.436409               0.050169  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies_cleaned_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>original_title</th>\n",
       "      <th>normalized_weight_average</th>\n",
       "      <th>normalized_popularity</th>\n",
       "      <th>score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Interstellar</td>\n",
       "      <td>0.911140</td>\n",
       "      <td>0.827162</td>\n",
       "      <td>0.869151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>546</th>\n",
       "      <td>Minions</td>\n",
       "      <td>0.504637</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.752319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Guardians of the Galaxy</td>\n",
       "      <td>0.862063</td>\n",
       "      <td>0.549462</td>\n",
       "      <td>0.705763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>788</th>\n",
       "      <td>Deadpool</td>\n",
       "      <td>0.745181</td>\n",
       "      <td>0.587690</td>\n",
       "      <td>0.666435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>0.696295</td>\n",
       "      <td>0.495989</td>\n",
       "      <td>0.596142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1881</th>\n",
       "      <td>The Shawshank Redemption</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.156179</td>\n",
       "      <td>0.578090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3865</th>\n",
       "      <td>Whiplash</td>\n",
       "      <td>0.933071</td>\n",
       "      <td>0.219887</td>\n",
       "      <td>0.576479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>The Dark Knight</td>\n",
       "      <td>0.936428</td>\n",
       "      <td>0.213941</td>\n",
       "      <td>0.575185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3337</th>\n",
       "      <td>The Godfather</td>\n",
       "      <td>0.967502</td>\n",
       "      <td>0.164074</td>\n",
       "      <td>0.565788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>Fight Club</td>\n",
       "      <td>0.955938</td>\n",
       "      <td>0.167611</td>\n",
       "      <td>0.561775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Inception</td>\n",
       "      <td>0.914455</td>\n",
       "      <td>0.191397</td>\n",
       "      <td>0.552926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3232</th>\n",
       "      <td>Pulp Fiction</td>\n",
       "      <td>0.953644</td>\n",
       "      <td>0.138723</td>\n",
       "      <td>0.546183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>809</th>\n",
       "      <td>Forrest Gump</td>\n",
       "      <td>0.928828</td>\n",
       "      <td>0.157762</td>\n",
       "      <td>0.543295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>Pirates of the Caribbean: The Curse of the Bla...</td>\n",
       "      <td>0.762781</td>\n",
       "      <td>0.310620</td>\n",
       "      <td>0.536701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2294</th>\n",
       "      <td>千と千尋の神隠し</td>\n",
       "      <td>0.928807</td>\n",
       "      <td>0.135874</td>\n",
       "      <td>0.532340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Big Hero 6</td>\n",
       "      <td>0.829922</td>\n",
       "      <td>0.232685</td>\n",
       "      <td>0.531304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1818</th>\n",
       "      <td>Schindler's List</td>\n",
       "      <td>0.933763</td>\n",
       "      <td>0.119314</td>\n",
       "      <td>0.526539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>The Lord of the Rings: The Return of the King</td>\n",
       "      <td>0.905746</td>\n",
       "      <td>0.141198</td>\n",
       "      <td>0.523472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2912</th>\n",
       "      <td>Star Wars</td>\n",
       "      <td>0.901295</td>\n",
       "      <td>0.144354</td>\n",
       "      <td>0.522824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2731</th>\n",
       "      <td>The Godfather: Part II</td>\n",
       "      <td>0.922359</td>\n",
       "      <td>0.120826</td>\n",
       "      <td>0.521593</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         original_title  \\\n",
       "95                                         Interstellar   \n",
       "546                                             Minions   \n",
       "94                              Guardians of the Galaxy   \n",
       "788                                            Deadpool   \n",
       "127                                  Mad Max: Fury Road   \n",
       "1881                           The Shawshank Redemption   \n",
       "3865                                           Whiplash   \n",
       "65                                      The Dark Knight   \n",
       "3337                                      The Godfather   \n",
       "662                                          Fight Club   \n",
       "96                                            Inception   \n",
       "3232                                       Pulp Fiction   \n",
       "809                                        Forrest Gump   \n",
       "199   Pirates of the Caribbean: The Curse of the Bla...   \n",
       "2294                                           千と千尋の神隠し   \n",
       "88                                           Big Hero 6   \n",
       "1818                                   Schindler's List   \n",
       "329       The Lord of the Rings: The Return of the King   \n",
       "2912                                          Star Wars   \n",
       "2731                             The Godfather: Part II   \n",
       "\n",
       "      normalized_weight_average  normalized_popularity     score  \n",
       "95                     0.911140               0.827162  0.869151  \n",
       "546                    0.504637               1.000000  0.752319  \n",
       "94                     0.862063               0.549462  0.705763  \n",
       "788                    0.745181               0.587690  0.666435  \n",
       "127                    0.696295               0.495989  0.596142  \n",
       "1881                   1.000000               0.156179  0.578090  \n",
       "3865                   0.933071               0.219887  0.576479  \n",
       "65                     0.936428               0.213941  0.575185  \n",
       "3337                   0.967502               0.164074  0.565788  \n",
       "662                    0.955938               0.167611  0.561775  \n",
       "96                     0.914455               0.191397  0.552926  \n",
       "3232                   0.953644               0.138723  0.546183  \n",
       "809                    0.928828               0.157762  0.543295  \n",
       "199                    0.762781               0.310620  0.536701  \n",
       "2294                   0.928807               0.135874  0.532340  \n",
       "88                     0.829922               0.232685  0.531304  \n",
       "1818                   0.933763               0.119314  0.526539  \n",
       "329                    0.905746               0.141198  0.523472  \n",
       "2912                   0.901295               0.144354  0.522824  \n",
       "2731                   0.922359               0.120826  0.521593  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies_cleaned_df['score'] = movies_cleaned_df['normalized_weight_average'] * 0.5 + movies_cleaned_df['normalized_popularity'] * 0.5\n",
    "movies_scored_df = movies_cleaned_df.sort_values(['score'], ascending=False)\n",
    "movies_scored_df[['original_title', 'normalized_weight_average', 'normalized_popularity', 'score']].head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "scored_df = movies_cleaned_df.sort_values('score', ascending=False)\n",
    "\n",
    "plt.figure(figsize=(16,6))\n",
    "\n",
    "ax = sns.barplot(x=scored_df['score'].head(10), y=scored_df['original_title'].head(10), data=scored_df, palette='deep')\n",
    "\n",
    "#plt.xlim(3.55, 5.25)\n",
    "plt.title('Best Rated & Most Popular Blend', weight='bold')\n",
    "plt.xlabel('Score', weight='bold')\n",
    "plt.ylabel('Movie Title', weight='bold')\n",
    "\n",
    "plt.savefig('scored_movies.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "Here we have created our generic recommendation system by using the vote count, rating and popularity parameters from our data.\n",
    "\n",
    "**Customers after initially joining have no data points and preferences attached to them, so to get them started we can use this system to recommend them movies initally. Once they spend time on the platform, we can capture the implicit and explicit data of the user to further improve the recommendation process.**\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. User-Item Based Recommendation system\n",
    "\n",
    "**u.data**\n",
    "\n",
    "|Features|Description|\n",
    "|-----|-----|\n",
    "|user_id|A unique identifier for each user|\n",
    "|item_id|A unique identifier for each movie|\n",
    "|rating|rating given|\n",
    "|timestamp|timestamp at which rating was given|\n",
    "\n",
    "\n",
    "**Movie_Id_Titles**\n",
    "\n",
    "|Features|Description|\n",
    "|-----|-----|\n",
    "|item_id|A unique identifier for each movie|\n",
    "|title|Title of the movie|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "column_names = ['user_id', 'item_id', 'rating', 'timestamp']\n",
    "df = pd.read_csv('/data/u.data', sep='\\t', names=column_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>user_id</th>\n",
       "      <th>item_id</th>\n",
       "      <th>rating</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>5</td>\n",
       "      <td>881250949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>172</td>\n",
       "      <td>5</td>\n",
       "      <td>881250949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>133</td>\n",
       "      <td>1</td>\n",
       "      <td>881250949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>196</td>\n",
       "      <td>242</td>\n",
       "      <td>3</td>\n",
       "      <td>881250949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>186</td>\n",
       "      <td>302</td>\n",
       "      <td>3</td>\n",
       "      <td>891717742</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   user_id  item_id  rating  timestamp\n",
       "0        0       50       5  881250949\n",
       "1        0      172       5  881250949\n",
       "2        0      133       1  881250949\n",
       "3      196      242       3  881250949\n",
       "4      186      302       3  891717742"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>item_id</th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>GoldenEye (1995)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Four Rooms (1995)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Get Shorty (1995)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Copycat (1995)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   item_id              title\n",
       "0        1   Toy Story (1995)\n",
       "1        2   GoldenEye (1995)\n",
       "2        3  Four Rooms (1995)\n",
       "3        4  Get Shorty (1995)\n",
       "4        5     Copycat (1995)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_titles = pd.read_csv(\"/data/Movie_Id_Titles\")\n",
    "movie_titles.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Merging the two datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>user_id</th>\n",
       "      <th>item_id</th>\n",
       "      <th>rating</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>5</td>\n",
       "      <td>881250949</td>\n",
       "      <td>Star Wars (1977)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>290</td>\n",
       "      <td>50</td>\n",
       "      <td>5</td>\n",
       "      <td>880473582</td>\n",
       "      <td>Star Wars (1977)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>79</td>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>891271545</td>\n",
       "      <td>Star Wars (1977)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>50</td>\n",
       "      <td>5</td>\n",
       "      <td>888552084</td>\n",
       "      <td>Star Wars (1977)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>50</td>\n",
       "      <td>5</td>\n",
       "      <td>879362124</td>\n",
       "      <td>Star Wars (1977)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   user_id  item_id  rating  timestamp             title\n",
       "0        0       50       5  881250949  Star Wars (1977)\n",
       "1      290       50       5  880473582  Star Wars (1977)\n",
       "2       79       50       4  891271545  Star Wars (1977)\n",
       "3        2       50       5  888552084  Star Wars (1977)\n",
       "4        8       50       5  879362124  Star Wars (1977)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.merge(df,movie_titles,on='item_id')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EDA\n",
    "\n",
    "Let's explore the data a bit and get a look at some of the best rated movies.\n",
    "\n",
    "## Let's create a ratings dataframe with average rating and number of ratings:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>rating</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>title</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>'Til There Was You (1997)</th>\n",
       "      <td>2.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1-900 (1994)</th>\n",
       "      <td>2.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101 Dalmatians (1996)</th>\n",
       "      <td>2.908257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12 Angry Men (1957)</th>\n",
       "      <td>4.344000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187 (1997)</th>\n",
       "      <td>3.024390</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             rating\n",
       "title                              \n",
       "'Til There Was You (1997)  2.333333\n",
       "1-900 (1994)               2.600000\n",
       "101 Dalmatians (1996)      2.908257\n",
       "12 Angry Men (1957)        4.344000\n",
       "187 (1997)                 3.024390"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings = pd.DataFrame(df.groupby('title')['rating'].mean())\n",
    "ratings.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## We will find th number of ratings given and add it to the \"ratings\" dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>rating</th>\n",
       "      <th>num of ratings</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>'Til There Was You (1997)</th>\n",
       "      <td>2.333333</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1-900 (1994)</th>\n",
       "      <td>2.600000</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101 Dalmatians (1996)</th>\n",
       "      <td>2.908257</td>\n",
       "      <td>109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12 Angry Men (1957)</th>\n",
       "      <td>4.344000</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187 (1997)</th>\n",
       "      <td>3.024390</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             rating  num of ratings\n",
       "title                                              \n",
       "'Til There Was You (1997)  2.333333               9\n",
       "1-900 (1994)               2.600000               5\n",
       "101 Dalmatians (1996)      2.908257             109\n",
       "12 Angry Men (1957)        4.344000             125\n",
       "187 (1997)                 3.024390              41"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings['num of ratings'] = pd.DataFrame(df.groupby('title')['rating'].count())\n",
    "ratings.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting the histogram for \"ratings\" and \"num of ratings\" columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,4))\n",
    "ratings['num of ratings'].hist(bins=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,4))\n",
    "ratings['rating'].hist(bins=50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating a recommendation system\n",
    "\n",
    "Now that we have a fair idea of how the data looks, lets create our recommendation system.\n",
    "\n",
    "\n",
    "### Steps:\n",
    "\n",
    "1. Create a matrix that has the user ids on one access and the movie title on another axis. Each cell will then consist of the rating the user gave to that movie. We will get a sparse data as a lot of users must not have given ratings so we will consider it as 0 rating\n",
    "\n",
    "2. We will select the movies we assume to have watched\n",
    "\n",
    "3. We will than find the correlation of the movie we have watched with other movies, which are basically our recommended movies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>title</th>\n",
       "      <th>'Til There Was You (1997)</th>\n",
       "      <th>1-900 (1994)</th>\n",
       "      <th>101 Dalmatians (1996)</th>\n",
       "      <th>12 Angry Men (1957)</th>\n",
       "      <th>187 (1997)</th>\n",
       "      <th>2 Days in the Valley (1996)</th>\n",
       "      <th>20,000 Leagues Under the Sea (1954)</th>\n",
       "      <th>2001: A Space Odyssey (1968)</th>\n",
       "      <th>3 Ninjas: High Noon At Mega Mountain (1998)</th>\n",
       "      <th>39 Steps, The (1935)</th>\n",
       "      <th>...</th>\n",
       "      <th>Yankee Zulu (1994)</th>\n",
       "      <th>Year of the Horse (1997)</th>\n",
       "      <th>You So Crazy (1994)</th>\n",
       "      <th>Young Frankenstein (1974)</th>\n",
       "      <th>Young Guns (1988)</th>\n",
       "      <th>Young Guns II (1990)</th>\n",
       "      <th>Young Poisoner's Handbook, The (1995)</th>\n",
       "      <th>Zeus and Roxanne (1997)</th>\n",
       "      <th>unknown</th>\n",
       "      <th>Á köldum klaka (Cold Fever) (1994)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>user_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 1664 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "title    'Til There Was You (1997)  1-900 (1994)  101 Dalmatians (1996)  \\\n",
       "user_id                                                                   \n",
       "0                              NaN           NaN                    NaN   \n",
       "1                              NaN           NaN                    2.0   \n",
       "2                              NaN           NaN                    NaN   \n",
       "3                              NaN           NaN                    NaN   \n",
       "4                              NaN           NaN                    NaN   \n",
       "\n",
       "title    12 Angry Men (1957)  187 (1997)  2 Days in the Valley (1996)  \\\n",
       "user_id                                                                 \n",
       "0                        NaN         NaN                          NaN   \n",
       "1                        5.0         NaN                          NaN   \n",
       "2                        NaN         NaN                          NaN   \n",
       "3                        NaN         2.0                          NaN   \n",
       "4                        NaN         NaN                          NaN   \n",
       "\n",
       "title    20,000 Leagues Under the Sea (1954)  2001: A Space Odyssey (1968)  \\\n",
       "user_id                                                                      \n",
       "0                                        NaN                           NaN   \n",
       "1                                        3.0                           4.0   \n",
       "2                                        NaN                           NaN   \n",
       "3                                        NaN                           NaN   \n",
       "4                                        NaN                           NaN   \n",
       "\n",
       "title    3 Ninjas: High Noon At Mega Mountain (1998)  39 Steps, The (1935)  \\\n",
       "user_id                                                                      \n",
       "0                                                NaN                   NaN   \n",
       "1                                                NaN                   NaN   \n",
       "2                                                1.0                   NaN   \n",
       "3                                                NaN                   NaN   \n",
       "4                                                NaN                   NaN   \n",
       "\n",
       "title    ...  Yankee Zulu (1994)  Year of the Horse (1997)  \\\n",
       "user_id  ...                                                 \n",
       "0        ...                 NaN                       NaN   \n",
       "1        ...                 NaN                       NaN   \n",
       "2        ...                 NaN                       NaN   \n",
       "3        ...                 NaN                       NaN   \n",
       "4        ...                 NaN                       NaN   \n",
       "\n",
       "title    You So Crazy (1994)  Young Frankenstein (1974)  Young Guns (1988)  \\\n",
       "user_id                                                                      \n",
       "0                        NaN                        NaN                NaN   \n",
       "1                        NaN                        5.0                3.0   \n",
       "2                        NaN                        NaN                NaN   \n",
       "3                        NaN                        NaN                NaN   \n",
       "4                        NaN                        NaN                NaN   \n",
       "\n",
       "title    Young Guns II (1990)  Young Poisoner's Handbook, The (1995)  \\\n",
       "user_id                                                                \n",
       "0                         NaN                                    NaN   \n",
       "1                         NaN                                    NaN   \n",
       "2                         NaN                                    NaN   \n",
       "3                         NaN                                    NaN   \n",
       "4                         NaN                                    NaN   \n",
       "\n",
       "title    Zeus and Roxanne (1997)  unknown  Á köldum klaka (Cold Fever) (1994)  \n",
       "user_id                                                                        \n",
       "0                            NaN      NaN                                 NaN  \n",
       "1                            NaN      4.0                                 NaN  \n",
       "2                            NaN      NaN                                 NaN  \n",
       "3                            NaN      NaN                                 NaN  \n",
       "4                            NaN      NaN                                 NaN  \n",
       "\n",
       "[5 rows x 1664 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "moviemat = df.pivot_table(index='user_id',columns='title',values='rating')\n",
    "moviemat.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let's select 2 of the top 10 of the most rated movies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>rating</th>\n",
       "      <th>num of ratings</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Star Wars (1977)</th>\n",
       "      <td>4.359589</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Contact (1997)</th>\n",
       "      <td>3.803536</td>\n",
       "      <td>509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fargo (1996)</th>\n",
       "      <td>4.155512</td>\n",
       "      <td>508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Return of the Jedi (1983)</th>\n",
       "      <td>4.007890</td>\n",
       "      <td>507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Liar Liar (1997)</th>\n",
       "      <td>3.156701</td>\n",
       "      <td>485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>English Patient, The (1996)</th>\n",
       "      <td>3.656965</td>\n",
       "      <td>481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Scream (1996)</th>\n",
       "      <td>3.441423</td>\n",
       "      <td>478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Toy Story (1995)</th>\n",
       "      <td>3.878319</td>\n",
       "      <td>452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Air Force One (1997)</th>\n",
       "      <td>3.631090</td>\n",
       "      <td>431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Independence Day (ID4) (1996)</th>\n",
       "      <td>3.438228</td>\n",
       "      <td>429</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 rating  num of ratings\n",
       "title                                                  \n",
       "Star Wars (1977)               4.359589             584\n",
       "Contact (1997)                 3.803536             509\n",
       "Fargo (1996)                   4.155512             508\n",
       "Return of the Jedi (1983)      4.007890             507\n",
       "Liar Liar (1997)               3.156701             485\n",
       "English Patient, The (1996)    3.656965             481\n",
       "Scream (1996)                  3.441423             478\n",
       "Toy Story (1995)               3.878319             452\n",
       "Air Force One (1997)           3.631090             431\n",
       "Independence Day (ID4) (1996)  3.438228             429"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings.sort_values('num of ratings',ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**We will choose Fargo and Toy Story**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>num of ratings</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>'Til There Was You (1997)</th>\n",
       "      <td>2.333333</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1-900 (1994)</th>\n",
       "      <td>2.600000</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101 Dalmatians (1996)</th>\n",
       "      <td>2.908257</td>\n",
       "      <td>109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12 Angry Men (1957)</th>\n",
       "      <td>4.344000</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187 (1997)</th>\n",
       "      <td>3.024390</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             rating  num of ratings\n",
       "title                                              \n",
       "'Til There Was You (1997)  2.333333               9\n",
       "1-900 (1994)               2.600000               5\n",
       "101 Dalmatians (1996)      2.908257             109\n",
       "12 Angry Men (1957)        4.344000             125\n",
       "187 (1997)                 3.024390              41"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Lets take the two movies\n",
    "\n",
    "fargo_ratings = moviemat['Fargo (1996)']\n",
    "toystory_ratings = moviemat['Toy Story (1995)']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "user_id\n",
       "0      NaN\n",
       "1      5.0\n",
       "2      5.0\n",
       "3      NaN\n",
       "4      NaN\n",
       "      ... \n",
       "939    NaN\n",
       "940    3.0\n",
       "941    NaN\n",
       "942    NaN\n",
       "943    5.0\n",
       "Name: Fargo (1996), Length: 944, dtype: float64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fargo_ratings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We will now use the corrwith() pandas method to betwen two series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "similar_to_fargo = moviemat.corrwith(fargo_ratings)\n",
    "similar_to_toystory = moviemat.corrwith(toystory_ratings)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We will drop the null values and create a dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "corr_fargo = pd.DataFrame(similar_to_fargo,columns=['Correlation'])\n",
    "corr_fargo.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "corr_toystory = pd.DataFrame(similar_to_toystory,columns=['Correlation'])\n",
    "corr_toystory.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Correlation</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>title</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>'Til There Was You (1997)</th>\n",
       "      <td>0.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1-900 (1994)</th>\n",
       "      <td>0.866025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101 Dalmatians (1996)</th>\n",
       "      <td>-0.245368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12 Angry Men (1957)</th>\n",
       "      <td>0.098676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187 (1997)</th>\n",
       "      <td>0.142509</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Correlation\n",
       "title                                 \n",
       "'Til There Was You (1997)     0.100000\n",
       "1-900 (1994)                  0.866025\n",
       "101 Dalmatians (1996)        -0.245368\n",
       "12 Angry Men (1957)           0.098676\n",
       "187 (1997)                    0.142509"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_fargo.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now if we sort the dataframe by correlation, we should get the most similar movies, however note that we get some results that don't really make sense. This is because there are a lot of movies only watched once by users who also watched fargo (it was one of the msot popular movie). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Correlation</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>title</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Open Season (1996)</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maya Lin: A Strong Clear Vision (1994)</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Captives (1994)</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>City of Industry (1997)</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Convent, The (Convento, O) (1995)</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fargo (1996)</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Smile Like Yours, A (1997)</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Journey of August King, The (1995)</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>King of the Hill (1993)</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wooden Man's Bride, The (Wu Kui) (1994)</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Correlation\n",
       "title                                               \n",
       "Open Season (1996)                               1.0\n",
       "Maya Lin: A Strong Clear Vision (1994)           1.0\n",
       "Captives (1994)                                  1.0\n",
       "City of Industry (1997)                          1.0\n",
       "Convent, The (Convento, O) (1995)                1.0\n",
       "Fargo (1996)                                     1.0\n",
       "Smile Like Yours, A (1997)                       1.0\n",
       "Journey of August King, The (1995)               1.0\n",
       "King of the Hill (1993)                          1.0\n",
       "Wooden Man's Bride, The (Wu Kui) (1994)          1.0"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_fargo.sort_values('Correlation',ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We fix our recommendations by only considering movies which have more than 150 reviews"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Correlation</th>\n",
       "      <th>num of ratings</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>'Til There Was You (1997)</th>\n",
       "      <td>0.100000</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1-900 (1994)</th>\n",
       "      <td>0.866025</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101 Dalmatians (1996)</th>\n",
       "      <td>-0.245368</td>\n",
       "      <td>109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12 Angry Men (1957)</th>\n",
       "      <td>0.098676</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187 (1997)</th>\n",
       "      <td>0.142509</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Correlation  num of ratings\n",
       "title                                                 \n",
       "'Til There Was You (1997)     0.100000               9\n",
       "1-900 (1994)                  0.866025               5\n",
       "101 Dalmatians (1996)        -0.245368             109\n",
       "12 Angry Men (1957)           0.098676             125\n",
       "187 (1997)                    0.142509              41"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_fargo = corr_fargo.join(ratings['num of ratings'])\n",
    "corr_fargo.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Correlation</th>\n",
       "      <th>num of ratings</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Fargo (1996)</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lone Star (1996)</th>\n",
       "      <td>0.370915</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quiz Show (1994)</th>\n",
       "      <td>0.355031</td>\n",
       "      <td>175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lawrence of Arabia (1962)</th>\n",
       "      <td>0.353408</td>\n",
       "      <td>173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>People vs. Larry Flynt, The (1996)</th>\n",
       "      <td>0.341784</td>\n",
       "      <td>215</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    Correlation  num of ratings\n",
       "title                                                          \n",
       "Fargo (1996)                           1.000000             508\n",
       "Lone Star (1996)                       0.370915             187\n",
       "Quiz Show (1994)                       0.355031             175\n",
       "Lawrence of Arabia (1962)              0.353408             173\n",
       "People vs. Larry Flynt, The (1996)     0.341784             215"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_fargo[corr_fargo['num of ratings']>150].sort_values('Correlation',ascending=False).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## We can similarly do it for the other movie and get a list of reconneded movies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion:\n",
    "We focussed on creating a basic recommendation system by suggesting items that are most similar to a particular item, in this case, movies. Keep in mind, this is not a true robust recommendation system, to describe it more accurately,it just tells you what movies/items are most similar to your movie choice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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