data analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Movielens Dataset Analaysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from PIL import Image\n",
    "from os import path\n",
    "import random\n",
    "import matplotlib.pyplot as plt\n",
    "from wordcloud import WordCloud, STOPWORDS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(27278, 3)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.chdir('/Users/Luecas/AnacondaProjects/recommender/Movielens')\n",
    "data = pd.read_csv('./movielens/movies.csv')\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movieId</th>\n",
       "      <th>title</th>\n",
       "      <th>genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Jumanji (1995)</td>\n",
       "      <td>Adventure|Children|Fantasy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Grumpier Old Men (1995)</td>\n",
       "      <td>Comedy|Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Waiting to Exhale (1995)</td>\n",
       "      <td>Comedy|Drama|Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Father of the Bride Part II (1995)</td>\n",
       "      <td>Comedy</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   movieId                               title  \\\n",
       "0        1                    Toy Story (1995)   \n",
       "1        2                      Jumanji (1995)   \n",
       "2        3             Grumpier Old Men (1995)   \n",
       "3        4            Waiting to Exhale (1995)   \n",
       "4        5  Father of the Bride Part II (1995)   \n",
       "\n",
       "                                        genres  \n",
       "0  Adventure|Animation|Children|Comedy|Fantasy  \n",
       "1                   Adventure|Children|Fantasy  \n",
       "2                               Comedy|Romance  \n",
       "3                         Comedy|Drama|Romance  \n",
       "4                                       Comedy  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## number of unique movies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "27278"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#number of unique movies\n",
    "movies = data['movieId'].unique().tolist()\n",
    "len(movies)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(20000263, 4)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_data=pd.read_csv('./movielens/ratings.csv',sep=',')\n",
    "ratings_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "userId       6.904587e+04\n",
       "movieId      9.041567e+03\n",
       "rating       3.525529e+00\n",
       "timestamp    1.100918e+09\n",
       "dtype: float64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_data.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>userId</th>\n",
       "      <th>movieId</th>\n",
       "      <th>rating</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.000026e+07</td>\n",
       "      <td>2.000026e+07</td>\n",
       "      <td>2.000026e+07</td>\n",
       "      <td>2.000026e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>6.904587e+04</td>\n",
       "      <td>9.041567e+03</td>\n",
       "      <td>3.525529e+00</td>\n",
       "      <td>1.100918e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4.003863e+04</td>\n",
       "      <td>1.978948e+04</td>\n",
       "      <td>1.051989e+00</td>\n",
       "      <td>1.621694e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>5.000000e-01</td>\n",
       "      <td>7.896520e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.439500e+04</td>\n",
       "      <td>9.020000e+02</td>\n",
       "      <td>3.000000e+00</td>\n",
       "      <td>9.667977e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.914100e+04</td>\n",
       "      <td>2.167000e+03</td>\n",
       "      <td>3.500000e+00</td>\n",
       "      <td>1.103556e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.036370e+05</td>\n",
       "      <td>4.770000e+03</td>\n",
       "      <td>4.000000e+00</td>\n",
       "      <td>1.225642e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.384930e+05</td>\n",
       "      <td>1.312620e+05</td>\n",
       "      <td>5.000000e+00</td>\n",
       "      <td>1.427784e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             userId       movieId        rating     timestamp\n",
       "count  2.000026e+07  2.000026e+07  2.000026e+07  2.000026e+07\n",
       "mean   6.904587e+04  9.041567e+03  3.525529e+00  1.100918e+09\n",
       "std    4.003863e+04  1.978948e+04  1.051989e+00  1.621694e+08\n",
       "min    1.000000e+00  1.000000e+00  5.000000e-01  7.896520e+08\n",
       "25%    3.439500e+04  9.020000e+02  3.000000e+00  9.667977e+08\n",
       "50%    6.914100e+04  2.167000e+03  3.500000e+00  1.103556e+09\n",
       "75%    1.036370e+05  4.770000e+03  4.000000e+00  1.225642e+09\n",
       "max    1.384930e+05  1.312620e+05  5.000000e+00  1.427784e+09"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    4.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_data['rating'].mode() #calculating mode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.051988919275684"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_data['rating'].std() #calculating standard deviation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#minimum rating given to a movie\n",
    "ratings_data['rating'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#maximum rating given to a movie\n",
    "ratings_data['rating'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(27278, 3)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#data cleaning\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "movieId    False\n",
       "title      False\n",
       "genres     False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#is any row null\n",
    "data.isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(20000263, 4)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "userId       False\n",
       "movieId      False\n",
       "rating       False\n",
       "timestamp    False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#is any row null there\n",
    "ratings_data.isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(465564, 4)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tags_data=pd.read_csv('./movielens/tags.csv',sep=',')\n",
    "tags_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "userId       False\n",
       "movieId      False\n",
       "tag           True\n",
       "timestamp    False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#is any row null in tags.csv\n",
    "tags_data.isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "tags_data=tags_data.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "userId       False\n",
       "movieId      False\n",
       "tag          False\n",
       "timestamp    False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tags_data.isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "38643"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unique_tags=tags_data['tag'].unique().tolist()\n",
    "len(unique_tags)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### list of Horror movies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movieId</th>\n",
       "      <th>title</th>\n",
       "      <th>genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>Dracula: Dead and Loving It (1995)</td>\n",
       "      <td>Comedy|Horror</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>Copycat (1995)</td>\n",
       "      <td>Crime|Drama|Horror|Mystery|Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>70</td>\n",
       "      <td>From Dusk Till Dawn (1996)</td>\n",
       "      <td>Action|Comedy|Horror|Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>92</td>\n",
       "      <td>Mary Reilly (1996)</td>\n",
       "      <td>Drama|Horror|Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>93</td>\n",
       "      <td>Vampire in Brooklyn (1995)</td>\n",
       "      <td>Comedy|Horror|Romance</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    movieId                               title  \\\n",
       "11       12  Dracula: Dead and Loving It (1995)   \n",
       "21       22                      Copycat (1995)   \n",
       "69       70          From Dusk Till Dawn (1996)   \n",
       "90       92                  Mary Reilly (1996)   \n",
       "91       93          Vampire in Brooklyn (1995)   \n",
       "\n",
       "                                 genres  \n",
       "11                        Comedy|Horror  \n",
       "21  Crime|Drama|Horror|Mystery|Thriller  \n",
       "69        Action|Comedy|Horror|Thriller  \n",
       "90                Drama|Horror|Thriller  \n",
       "91                Comedy|Horror|Romance  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#list of Horror movies\n",
    "horror_movies=data['genres'].str.contains('Horror')\n",
    "data[horror_movies].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(27278,)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#total number of horror movies\n",
    "drama_movies.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### List of Comedy movies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movieId</th>\n",
       "      <th>title</th>\n",
       "      <th>genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Grumpier Old Men (1995)</td>\n",
       "      <td>Comedy|Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Waiting to Exhale (1995)</td>\n",
       "      <td>Comedy|Drama|Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Father of the Bride Part II (1995)</td>\n",
       "      <td>Comedy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>Sabrina (1995)</td>\n",
       "      <td>Comedy|Romance</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   movieId                               title  \\\n",
       "0        1                    Toy Story (1995)   \n",
       "2        3             Grumpier Old Men (1995)   \n",
       "3        4            Waiting to Exhale (1995)   \n",
       "4        5  Father of the Bride Part II (1995)   \n",
       "6        7                      Sabrina (1995)   \n",
       "\n",
       "                                        genres  \n",
       "0  Adventure|Animation|Children|Comedy|Fantasy  \n",
       "2                               Comedy|Romance  \n",
       "3                         Comedy|Drama|Romance  \n",
       "4                                       Comedy  \n",
       "6                               Comedy|Romance  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#list of comedy movies\n",
    "comedy_movies = data['genres'].str.contains('Comedy')\n",
    "data[comedy_movies].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(27278,)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#total no. of comedy movies\n",
    "comedy_movies.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### List of movie_id by tag \"fun\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>userId</th>\n",
       "      <th>movieId</th>\n",
       "      <th>tag</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>129</td>\n",
       "      <td>4247</td>\n",
       "      <td>fuck you it's funny</td>\n",
       "      <td>1297144577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>129</td>\n",
       "      <td>8528</td>\n",
       "      <td>funny</td>\n",
       "      <td>1297144703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>129</td>\n",
       "      <td>80350</td>\n",
       "      <td>funny</td>\n",
       "      <td>1295299018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>129</td>\n",
       "      <td>80549</td>\n",
       "      <td>funny dialogues</td>\n",
       "      <td>1295298933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>342</td>\n",
       "      <td>1784</td>\n",
       "      <td>funny</td>\n",
       "      <td>1363544868</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     userId  movieId                  tag   timestamp\n",
       "152     129     4247  fuck you it's funny  1297144577\n",
       "171     129     8528                funny  1297144703\n",
       "222     129    80350                funny  1295299018\n",
       "230     129    80549      funny dialogues  1295298933\n",
       "372     342     1784                funny  1363544868"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#search movie id by tag search\n",
    "tag_search = tags_data['tag'].str.contains('fun')\n",
    "tags_data[tag_search].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>userId</th>\n",
       "      <th>movieId</th>\n",
       "      <th>rating</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1112486027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1112484676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>32</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1112484819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>47</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1112484727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>50</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1112484580</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   userId  movieId  rating   timestamp\n",
       "0       1        2     3.5  1112486027\n",
       "1       1       29     3.5  1112484676\n",
       "2       1       32     3.5  1112484819\n",
       "3       1       47     3.5  1112484727\n",
       "4       1       50     3.5  1112484580"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#displays first 5 data from a dataframe\n",
    "#here rating.csv has 4 columns\n",
    "ratings_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "del ratings_data['timestamp']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>userId</th>\n",
       "      <th>movieId</th>\n",
       "      <th>rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>32</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>47</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>50</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   userId  movieId  rating\n",
       "0       1        2     3.5\n",
       "1       1       29     3.5\n",
       "2       1       32     3.5\n",
       "3       1       47     3.5\n",
       "4       1       50     3.5"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#displays first 5 data from a dataframe\n",
    "#here ratings.csv has 3 columns\n",
    "ratings_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movieId</th>\n",
       "      <th>title</th>\n",
       "      <th>genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Jumanji (1995)</td>\n",
       "      <td>Adventure|Children|Fantasy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Grumpier Old Men (1995)</td>\n",
       "      <td>Comedy|Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Waiting to Exhale (1995)</td>\n",
       "      <td>Comedy|Drama|Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Father of the Bride Part II (1995)</td>\n",
       "      <td>Comedy</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   movieId                               title  \\\n",
       "0        1                    Toy Story (1995)   \n",
       "1        2                      Jumanji (1995)   \n",
       "2        3             Grumpier Old Men (1995)   \n",
       "3        4            Waiting to Exhale (1995)   \n",
       "4        5  Father of the Bride Part II (1995)   \n",
       "\n",
       "                                        genres  \n",
       "0  Adventure|Animation|Children|Comedy|Fantasy  \n",
       "1                   Adventure|Children|Fantasy  \n",
       "2                               Comedy|Romance  \n",
       "3                         Comedy|Drama|Romance  \n",
       "4                                       Comedy  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#displays first 5 data from a dataframe\n",
    "#here movies.csv has 3 columns\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movieId</th>\n",
       "      <th>title</th>\n",
       "      <th>genres</th>\n",
       "      <th>userId</th>\n",
       "      <th>rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>6</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>8</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>10</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>11</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>12</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>13</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>14</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>16</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>19</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>22</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>23</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    movieId             title                                       genres  \\\n",
       "0         1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "1         1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "2         1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "3         1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "4         1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "5         1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "6         1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "7         1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "8         1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "9         1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "10        1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "11        1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "\n",
       "    userId  rating  \n",
       "0        3     4.0  \n",
       "1        6     5.0  \n",
       "2        8     4.0  \n",
       "3       10     4.0  \n",
       "4       11     4.5  \n",
       "5       12     4.0  \n",
       "6       13     4.0  \n",
       "7       14     4.5  \n",
       "8       16     3.0  \n",
       "9       19     5.0  \n",
       "10      22     3.0  \n",
       "11      23     4.0  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#merging two dataframes \"movies.csv\" and \"ratings.csv\"\n",
    "movie_data_ratings_data=data.merge(ratings_data,on = 'movieId',how = 'inner')\n",
    "movie_data_ratings_data.head(12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0           False\n",
      "1            True\n",
      "2           False\n",
      "3           False\n",
      "4            True\n",
      "5           False\n",
      "6           False\n",
      "7            True\n",
      "8           False\n",
      "9            True\n",
      "10          False\n",
      "11          False\n",
      "12          False\n",
      "13          False\n",
      "14           True\n",
      "15           True\n",
      "16          False\n",
      "17          False\n",
      "18          False\n",
      "19           True\n",
      "20           True\n",
      "21          False\n",
      "22          False\n",
      "23          False\n",
      "24           True\n",
      "25           True\n",
      "26          False\n",
      "27          False\n",
      "28           True\n",
      "29          False\n",
      "            ...  \n",
      "20000233    False\n",
      "20000234    False\n",
      "20000235    False\n",
      "20000236    False\n",
      "20000237    False\n",
      "20000238    False\n",
      "20000239    False\n",
      "20000240    False\n",
      "20000241    False\n",
      "20000242    False\n",
      "20000243    False\n",
      "20000244    False\n",
      "20000245    False\n",
      "20000246    False\n",
      "20000247    False\n",
      "20000248     True\n",
      "20000249    False\n",
      "20000250    False\n",
      "20000251    False\n",
      "20000252    False\n",
      "20000253    False\n",
      "20000254    False\n",
      "20000255    False\n",
      "20000256    False\n",
      "20000257    False\n",
      "20000258    False\n",
      "20000259    False\n",
      "20000260    False\n",
      "20000261    False\n",
      "20000262    False\n",
      "Name: rating, Length: 20000263, dtype: bool\n"
     ]
    }
   ],
   "source": [
    "#movie rated high or not in boolean\n",
    "high_rated= movie_data_ratings_data['rating']>4.0\n",
    "print(high_rated)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## List Highest lowest movie raters id"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movieId</th>\n",
       "      <th>title</th>\n",
       "      <th>genres</th>\n",
       "      <th>userId</th>\n",
       "      <th>rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>6</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>11</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>14</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>19</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>34</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>39</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>58</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>59</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>82</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>84</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    movieId             title                                       genres  \\\n",
       "1         1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "4         1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "7         1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "9         1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "14        1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "15        1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "19        1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "20        1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "24        1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "25        1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "\n",
       "    userId  rating  \n",
       "1        6     5.0  \n",
       "4       11     4.5  \n",
       "7       14     4.5  \n",
       "9       19     5.0  \n",
       "14      34     5.0  \n",
       "15      39     5.0  \n",
       "19      58     5.0  \n",
       "20      59     4.5  \n",
       "24      82     5.0  \n",
       "25      84     5.0  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# high_rated= movie_data_ratings_data['rating']>4.0\n",
    "movie_data_ratings_data[high_rated].head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movieId</th>\n",
       "      <th>title</th>\n",
       "      <th>genres</th>\n",
       "      <th>userId</th>\n",
       "      <th>rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>16</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>22</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>31</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>47</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>80</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    movieId             title                                       genres  \\\n",
       "8         1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "10        1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "13        1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "16        1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "23        1  Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy   \n",
       "\n",
       "    userId  rating  \n",
       "8       16     3.0  \n",
       "10      22     3.0  \n",
       "13      31     3.0  \n",
       "16      47     1.0  \n",
       "23      80     3.0  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "low_rated = movie_data_ratings_data['rating']<4.0\n",
    "movie_data_ratings_data[low_rated].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1342"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#total number of unique movie genre\n",
    "unique_genre=data['genres'].unique().tolist()\n",
    "len(unique_genre)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## top most rated movies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title\n",
       "Pulp Fiction (1994)                                                               67310\n",
       "Forrest Gump (1994)                                                               66172\n",
       "Shawshank Redemption, The (1994)                                                  63366\n",
       "Silence of the Lambs, The (1991)                                                  63299\n",
       "Jurassic Park (1993)                                                              59715\n",
       "Star Wars: Episode IV - A New Hope (1977)                                         54502\n",
       "Braveheart (1995)                                                                 53769\n",
       "Terminator 2: Judgment Day (1991)                                                 52244\n",
       "Matrix, The (1999)                                                                51334\n",
       "Schindler's List (1993)                                                           50054\n",
       "Toy Story (1995)                                                                  49695\n",
       "Fugitive, The (1993)                                                              49581\n",
       "Apollo 13 (1995)                                                                  47777\n",
       "Independence Day (a.k.a. ID4) (1996)                                              47048\n",
       "Usual Suspects, The (1995)                                                        47006\n",
       "Star Wars: Episode VI - Return of the Jedi (1983)                                 46839\n",
       "Batman (1989)                                                                     46054\n",
       "Star Wars: Episode V - The Empire Strikes Back (1980)                             45313\n",
       "American Beauty (1999)                                                            44987\n",
       "Twelve Monkeys (a.k.a. 12 Monkeys) (1995)                                         44980\n",
       "Dances with Wolves (1990)                                                         44208\n",
       "Raiders of the Lost Ark (Indiana Jones and the Raiders of the Lost Ark) (1981)    43295\n",
       "Fargo (1996)                                                                      43272\n",
       "Seven (a.k.a. Se7en) (1995)                                                       43249\n",
       "True Lies (1994)                                                                  43159\n",
       "dtype: int64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#top 25 most rated movies\n",
    "most_rated = movie_data_ratings_data.groupby('title').size().sort_values(ascending=False)[:25]\n",
    "most_rated.head(40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jumanji (1995)</td>\n",
       "      <td>Adventure|Children|Fantasy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Grumpier Old Men (1995)</td>\n",
       "      <td>Comedy|Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Waiting to Exhale (1995)</td>\n",
       "      <td>Comedy|Drama|Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Father of the Bride Part II (1995)</td>\n",
       "      <td>Comedy</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                title  \\\n",
       "0                    Toy Story (1995)   \n",
       "1                      Jumanji (1995)   \n",
       "2             Grumpier Old Men (1995)   \n",
       "3            Waiting to Exhale (1995)   \n",
       "4  Father of the Bride Part II (1995)   \n",
       "\n",
       "                                        genres  \n",
       "0  Adventure|Animation|Children|Comedy|Fantasy  \n",
       "1                   Adventure|Children|Fantasy  \n",
       "2                               Comedy|Romance  \n",
       "3                         Comedy|Drama|Romance  \n",
       "4                                       Comedy  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#slicing out columns to display only title and genres columns\n",
    "data[['title','genres']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movieId</th>\n",
       "      <th>title</th>\n",
       "      <th>genres</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Toy Story (1995)</td>\n",
       "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Jumanji (1995)</td>\n",
       "      <td>Adventure|Children|Fantasy</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Grumpier Old Men (1995)</td>\n",
       "      <td>Comedy|Romance</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Waiting to Exhale (1995)</td>\n",
       "      <td>Comedy|Drama|Romance</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Father of the Bride Part II (1995)</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>Heat (1995)</td>\n",
       "      <td>Action|Crime|Thriller</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>Sabrina (1995)</td>\n",
       "      <td>Comedy|Romance</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>Tom and Huck (1995)</td>\n",
       "      <td>Adventure|Children</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>Sudden Death (1995)</td>\n",
       "      <td>Action</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>GoldenEye (1995)</td>\n",
       "      <td>Action|Adventure|Thriller</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>American President, The (1995)</td>\n",
       "      <td>Comedy|Drama|Romance</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>Dracula: Dead and Loving It (1995)</td>\n",
       "      <td>Comedy|Horror</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>Balto (1995)</td>\n",
       "      <td>Adventure|Animation|Children</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>Nixon (1995)</td>\n",
       "      <td>Drama</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>Cutthroat Island (1995)</td>\n",
       "      <td>Action|Adventure|Romance</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    movieId                               title  \\\n",
       "0         1                    Toy Story (1995)   \n",
       "1         2                      Jumanji (1995)   \n",
       "2         3             Grumpier Old Men (1995)   \n",
       "3         4            Waiting to Exhale (1995)   \n",
       "4         5  Father of the Bride Part II (1995)   \n",
       "5         6                         Heat (1995)   \n",
       "6         7                      Sabrina (1995)   \n",
       "7         8                 Tom and Huck (1995)   \n",
       "8         9                 Sudden Death (1995)   \n",
       "9        10                    GoldenEye (1995)   \n",
       "10       11      American President, The (1995)   \n",
       "11       12  Dracula: Dead and Loving It (1995)   \n",
       "12       13                        Balto (1995)   \n",
       "13       14                        Nixon (1995)   \n",
       "14       15             Cutthroat Island (1995)   \n",
       "\n",
       "                                         genres  year  \n",
       "0   Adventure|Animation|Children|Comedy|Fantasy  1995  \n",
       "1                    Adventure|Children|Fantasy  1995  \n",
       "2                                Comedy|Romance  1995  \n",
       "3                          Comedy|Drama|Romance  1995  \n",
       "4                                        Comedy  1995  \n",
       "5                         Action|Crime|Thriller  1995  \n",
       "6                                Comedy|Romance  1995  \n",
       "7                            Adventure|Children  1995  \n",
       "8                                        Action  1995  \n",
       "9                     Action|Adventure|Thriller  1995  \n",
       "10                         Comedy|Drama|Romance  1995  \n",
       "11                                Comedy|Horror  1995  \n",
       "12                 Adventure|Animation|Children  1995  \n",
       "13                                        Drama  1995  \n",
       "14                     Action|Adventure|Romance  1995  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# here we extract year from title\n",
    "data['year'] =data['title'].str.extract('.*\\((.*)\\).*',expand = False)\n",
    "data.head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#define a function that counts the number of times each genre appear:\n",
    "def count_word(df, ref_col, liste):\n",
    "    keyword_count = dict()\n",
    "    for s in liste: keyword_count[s] = 0\n",
    "    for liste_keywords in df[ref_col].str.split('|'):\n",
    "        if type(liste_keywords) == float and pd.isnull(liste_keywords): continue\n",
    "        for s in liste_keywords: \n",
    "            if pd.notnull(s): keyword_count[s] += 1\n",
    "    # convert the dictionary in a list to sort the keywords  by frequency\n",
    "    keyword_occurences = []\n",
    "    for k,v in keyword_count.items():\n",
    "        keyword_occurences.append([k,v])\n",
    "    keyword_occurences.sort(key = lambda x:x[1], reverse = True)\n",
    "    return keyword_occurences, keyword_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#here we  make census of the genres:\n",
    "genre_labels = set()\n",
    "for s in data['genres'].str.split('|').values:\n",
    "    genre_labels = genre_labels.union(set(s))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['Drama', 13344],\n",
       " ['Comedy', 8374],\n",
       " ['Thriller', 4178],\n",
       " ['Romance', 4127],\n",
       " ['Action', 3520],\n",
       " ['Crime', 2939],\n",
       " ['Horror', 2611],\n",
       " ['Documentary', 2471],\n",
       " ['Adventure', 2329],\n",
       " ['Sci-Fi', 1743],\n",
       " ['Mystery', 1514],\n",
       " ['Fantasy', 1412],\n",
       " ['War', 1194],\n",
       " ['Children', 1139],\n",
       " ['Musical', 1036],\n",
       " ['Animation', 1027],\n",
       " ['Western', 676],\n",
       " ['Film-Noir', 330],\n",
       " ['(no genres listed)', 246],\n",
       " ['IMAX', 196]]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#counting how many times each of genres occur:\n",
    "keyword_occurences, dum = count_word(data, 'genres', genre_labels)\n",
    "keyword_occurences"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Popular Genres"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Hbiq5ZykwGTiiJO4I4K7MXFxy7UYKTY4DOiGXJEmSJEnqgSpxQ9ZRwGpgTpPr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\n3v0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10afbb890>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# lets display this in the histogram\n",
    "fig = plt.figure(1, figsize=(18,13))\n",
    "ax2 = fig.add_subplot(2,1,2)\n",
    "y_axis = [i[1] for i in trunc_occurences]\n",
    "x_axis = [k for k,i in enumerate(trunc_occurences)]\n",
    "x_label = [i[0] for i in trunc_occurences]\n",
    "plt.xticks(rotation=85, fontsize = 15)\n",
    "plt.yticks(fontsize = 15)\n",
    "plt.xticks(x_axis, x_label)\n",
    "plt.ylabel(\"Occurences\", fontsize = 20, labelpad = 0)\n",
    "ax2.bar(x_axis, y_axis, align = 'center', color='r')\n",
    "plt.title(\"Popular Genres\",bbox={'facecolor':'k', 'pad':5},color='w',fontsize = 30)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}