Movie_dataset.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data analysis on Movies Dataset\n",
    "#### by Deepak Das\n",
    "\n",
    "The main aim of the project is to find insights about the datset containing information about particular movies. This project uses the movie dataset avaliable form Movie lens.This dataset contains just 1000 movies for analysis. We have used libraries present in Python such as Matplotlib,Seaborn,Pandas for reading and visualization of the dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![mov](https://phenixcitylibrary.com/wp-content/uploads/2017/06/Movie-Night.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# We import the packages required for visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data description\n",
    "The data is in csv format.In computing, a comma-separated values (CSV) file stores tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas. \n",
    "Data are collected on 12 different informations of a movie,with rating being in the order of 1 (worst) and 10 (best) and the metascore being in the order from 1 (worst) and 100 (best).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('Documents//movie.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Attributes\n",
    "\n",
    "- Rank\n",
    "- Title\n",
    "- Genre\n",
    "- Description\n",
    "- Director\n",
    "- Actors\n",
    "- Year\n",
    "- Runtime\n",
    "- Rating\n",
    "- Votes\n",
    "- Revenue\n",
    "- Metascore"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Here we call the head function and print the first 5 rows of the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rank</th>\n",
       "      <th>Title</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Description</th>\n",
       "      <th>Director</th>\n",
       "      <th>Actors</th>\n",
       "      <th>Year</th>\n",
       "      <th>Runtime (Minutes)</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Votes</th>\n",
       "      <th>Revenue (Millions)</th>\n",
       "      <th>Metascore</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Guardians of the Galaxy</td>\n",
       "      <td>Action,Adventure,Sci-Fi</td>\n",
       "      <td>A group of intergalactic criminals are forced ...</td>\n",
       "      <td>James Gunn</td>\n",
       "      <td>Chris Pratt, Vin Diesel, Bradley Cooper, Zoe S...</td>\n",
       "      <td>2014</td>\n",
       "      <td>121</td>\n",
       "      <td>8.1</td>\n",
       "      <td>757074</td>\n",
       "      <td>333.13</td>\n",
       "      <td>76.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Prometheus</td>\n",
       "      <td>Adventure,Mystery,Sci-Fi</td>\n",
       "      <td>Following clues to the origin of mankind, a te...</td>\n",
       "      <td>Ridley Scott</td>\n",
       "      <td>Noomi Rapace, Logan Marshall-Green, Michael Fa...</td>\n",
       "      <td>2012</td>\n",
       "      <td>124</td>\n",
       "      <td>7.0</td>\n",
       "      <td>485820</td>\n",
       "      <td>126.46</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Split</td>\n",
       "      <td>Horror,Thriller</td>\n",
       "      <td>Three girls are kidnapped by a man with a diag...</td>\n",
       "      <td>M. Night Shyamalan</td>\n",
       "      <td>James McAvoy, Anya Taylor-Joy, Haley Lu Richar...</td>\n",
       "      <td>2016</td>\n",
       "      <td>117</td>\n",
       "      <td>7.3</td>\n",
       "      <td>157606</td>\n",
       "      <td>138.12</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Sing</td>\n",
       "      <td>Animation,Comedy,Family</td>\n",
       "      <td>In a city of humanoid animals, a hustling thea...</td>\n",
       "      <td>Christophe Lourdelet</td>\n",
       "      <td>Matthew McConaughey,Reese Witherspoon, Seth Ma...</td>\n",
       "      <td>2016</td>\n",
       "      <td>108</td>\n",
       "      <td>7.2</td>\n",
       "      <td>60545</td>\n",
       "      <td>270.32</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Suicide Squad</td>\n",
       "      <td>Action,Adventure,Fantasy</td>\n",
       "      <td>A secret government agency recruits some of th...</td>\n",
       "      <td>David Ayer</td>\n",
       "      <td>Will Smith, Jared Leto, Margot Robbie, Viola D...</td>\n",
       "      <td>2016</td>\n",
       "      <td>123</td>\n",
       "      <td>6.2</td>\n",
       "      <td>393727</td>\n",
       "      <td>325.02</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Rank                    Title                     Genre  \\\n",
       "0     1  Guardians of the Galaxy   Action,Adventure,Sci-Fi   \n",
       "1     2               Prometheus  Adventure,Mystery,Sci-Fi   \n",
       "2     3                    Split           Horror,Thriller   \n",
       "3     4                     Sing   Animation,Comedy,Family   \n",
       "4     5            Suicide Squad  Action,Adventure,Fantasy   \n",
       "\n",
       "                                         Description              Director  \\\n",
       "0  A group of intergalactic criminals are forced ...            James Gunn   \n",
       "1  Following clues to the origin of mankind, a te...          Ridley Scott   \n",
       "2  Three girls are kidnapped by a man with a diag...    M. Night Shyamalan   \n",
       "3  In a city of humanoid animals, a hustling thea...  Christophe Lourdelet   \n",
       "4  A secret government agency recruits some of th...            David Ayer   \n",
       "\n",
       "                                              Actors  Year  Runtime (Minutes)  \\\n",
       "0  Chris Pratt, Vin Diesel, Bradley Cooper, Zoe S...  2014                121   \n",
       "1  Noomi Rapace, Logan Marshall-Green, Michael Fa...  2012                124   \n",
       "2  James McAvoy, Anya Taylor-Joy, Haley Lu Richar...  2016                117   \n",
       "3  Matthew McConaughey,Reese Witherspoon, Seth Ma...  2016                108   \n",
       "4  Will Smith, Jared Leto, Margot Robbie, Viola D...  2016                123   \n",
       "\n",
       "   Rating   Votes  Revenue (Millions)  Metascore  \n",
       "0     8.1  757074              333.13       76.0  \n",
       "1     7.0  485820              126.46       65.0  \n",
       "2     7.3  157606              138.12       62.0  \n",
       "3     7.2   60545              270.32       59.0  \n",
       "4     6.2  393727              325.02       40.0  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Here we see the total size of the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12000"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.size"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Here we see the shape of the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1000, 12)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Here we see all the mathematical aspects of the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rank</th>\n",
       "      <th>Title</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Description</th>\n",
       "      <th>Director</th>\n",
       "      <th>Actors</th>\n",
       "      <th>Year</th>\n",
       "      <th>Runtime (Minutes)</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Votes</th>\n",
       "      <th>Revenue (Millions)</th>\n",
       "      <th>Metascore</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1000.000000</td>\n",
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       "      <td>1000.000000</td>\n",
       "      <td>1.000000e+03</td>\n",
       "      <td>872.000000</td>\n",
       "      <td>936.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>207</td>\n",
       "      <td>1000</td>\n",
       "      <td>644</td>\n",
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       "      <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>top</th>\n",
       "      <td>NaN</td>\n",
       "      <td>The Host</td>\n",
       "      <td>Action,Adventure,Sci-Fi</td>\n",
       "      <td>Col. Katherine Powell, a military officer in c...</td>\n",
       "      <td>Ridley Scott</td>\n",
       "      <td>Shia LaBeouf, Megan Fox, Josh Duhamel, Tyrese ...</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>freq</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>2</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>mean</th>\n",
       "      <td>500.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012.783000</td>\n",
       "      <td>113.172000</td>\n",
       "      <td>6.723200</td>\n",
       "      <td>1.698083e+05</td>\n",
       "      <td>82.956376</td>\n",
       "      <td>58.985043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>288.819436</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.205962</td>\n",
       "      <td>18.810908</td>\n",
       "      <td>0.945429</td>\n",
       "      <td>1.887626e+05</td>\n",
       "      <td>103.253540</td>\n",
       "      <td>17.194757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2006.000000</td>\n",
       "      <td>66.000000</td>\n",
       "      <td>1.900000</td>\n",
       "      <td>6.100000e+01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>11.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>250.750000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>3.630900e+04</td>\n",
       "      <td>13.270000</td>\n",
       "      <td>47.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>500.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2014.000000</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>1.107990e+05</td>\n",
       "      <td>47.985000</td>\n",
       "      <td>59.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>750.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>123.000000</td>\n",
       "      <td>7.400000</td>\n",
       "      <td>2.399098e+05</td>\n",
       "      <td>113.715000</td>\n",
       "      <td>72.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1000.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>191.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>1.791916e+06</td>\n",
       "      <td>936.630000</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Rank     Title                    Genre  \\\n",
       "count   1000.000000      1000                     1000   \n",
       "unique          NaN       999                      207   \n",
       "top             NaN  The Host  Action,Adventure,Sci-Fi   \n",
       "freq            NaN         2                       50   \n",
       "mean     500.500000       NaN                      NaN   \n",
       "std      288.819436       NaN                      NaN   \n",
       "min        1.000000       NaN                      NaN   \n",
       "25%      250.750000       NaN                      NaN   \n",
       "50%      500.500000       NaN                      NaN   \n",
       "75%      750.250000       NaN                      NaN   \n",
       "max     1000.000000       NaN                      NaN   \n",
       "\n",
       "                                              Description      Director  \\\n",
       "count                                                1000          1000   \n",
       "unique                                               1000           644   \n",
       "top     Col. Katherine Powell, a military officer in c...  Ridley Scott   \n",
       "freq                                                    1             8   \n",
       "mean                                                  NaN           NaN   \n",
       "std                                                   NaN           NaN   \n",
       "min                                                   NaN           NaN   \n",
       "25%                                                   NaN           NaN   \n",
       "50%                                                   NaN           NaN   \n",
       "75%                                                   NaN           NaN   \n",
       "max                                                   NaN           NaN   \n",
       "\n",
       "                                                   Actors         Year  \\\n",
       "count                                                1000  1000.000000   \n",
       "unique                                                996          NaN   \n",
       "top     Shia LaBeouf, Megan Fox, Josh Duhamel, Tyrese ...          NaN   \n",
       "freq                                                    2          NaN   \n",
       "mean                                                  NaN  2012.783000   \n",
       "std                                                   NaN     3.205962   \n",
       "min                                                   NaN  2006.000000   \n",
       "25%                                                   NaN  2010.000000   \n",
       "50%                                                   NaN  2014.000000   \n",
       "75%                                                   NaN  2016.000000   \n",
       "max                                                   NaN  2016.000000   \n",
       "\n",
       "        Runtime (Minutes)       Rating         Votes  Revenue (Millions)  \\\n",
       "count         1000.000000  1000.000000  1.000000e+03          872.000000   \n",
       "unique                NaN          NaN           NaN                 NaN   \n",
       "top                   NaN          NaN           NaN                 NaN   \n",
       "freq                  NaN          NaN           NaN                 NaN   \n",
       "mean           113.172000     6.723200  1.698083e+05           82.956376   \n",
       "std             18.810908     0.945429  1.887626e+05          103.253540   \n",
       "min             66.000000     1.900000  6.100000e+01            0.000000   \n",
       "25%            100.000000     6.200000  3.630900e+04           13.270000   \n",
       "50%            111.000000     6.800000  1.107990e+05           47.985000   \n",
       "75%            123.000000     7.400000  2.399098e+05          113.715000   \n",
       "max            191.000000     9.000000  1.791916e+06          936.630000   \n",
       "\n",
       "         Metascore  \n",
       "count   936.000000  \n",
       "unique         NaN  \n",
       "top            NaN  \n",
       "freq           NaN  \n",
       "mean     58.985043  \n",
       "std      17.194757  \n",
       "min      11.000000  \n",
       "25%      47.000000  \n",
       "50%      59.500000  \n",
       "75%      72.000000  \n",
       "max     100.000000  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe(include = 'all')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We check for the missing values in the dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We find there are missing values present in the dataset so we will remove the missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Rank                    0\n",
       "Title                   0\n",
       "Genre                   0\n",
       "Description             0\n",
       "Director                0\n",
       "Actors                  0\n",
       "Year                    0\n",
       "Runtime (Minutes)       0\n",
       "Rating                  0\n",
       "Votes                   0\n",
       "Revenue (Millions)    128\n",
       "Metascore              64\n",
       "dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We fill the null values with the mean values in the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Rank                     500.500000\n",
       "Year                    2012.783000\n",
       "Runtime (Minutes)        113.172000\n",
       "Rating                     6.723200\n",
       "Votes                 169808.255000\n",
       "Revenue (Millions)        82.956376\n",
       "Metascore                 58.985043\n",
       "dtype: float64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Filling the Null values of the Revenue column with mean values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 293,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Revenue (Millions)'] = df['Revenue (Millions)'].fillna(df['Revenue (Millions)'].mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Filling the Null values of the Metascore column with mean values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Metascore'] = df['Metascore'].fillna(df['Metascore'].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Rank                  0\n",
       "Title                 0\n",
       "Genre                 0\n",
       "Description           0\n",
       "Director              0\n",
       "Actors                0\n",
       "Year                  0\n",
       "Runtime (Minutes)     0\n",
       "Rating                0\n",
       "Votes                 0\n",
       "Revenue (Millions)    0\n",
       "Metascore             0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 235,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We drop the columns which are not required for analysis and for the Recommendation engine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "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>Rank</th>\n",
       "      <th>Title</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Year</th>\n",
       "      <th>Runtime (Minutes)</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Votes</th>\n",
       "      <th>Revenue (Millions)</th>\n",
       "      <th>Metascore</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Guardians of the Galaxy</td>\n",
       "      <td>Action,Adventure,Sci-Fi</td>\n",
       "      <td>2014</td>\n",
       "      <td>121</td>\n",
       "      <td>8.1</td>\n",
       "      <td>757074</td>\n",
       "      <td>333.13</td>\n",
       "      <td>76.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Prometheus</td>\n",
       "      <td>Adventure,Mystery,Sci-Fi</td>\n",
       "      <td>2012</td>\n",
       "      <td>124</td>\n",
       "      <td>7.0</td>\n",
       "      <td>485820</td>\n",
       "      <td>126.46</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Split</td>\n",
       "      <td>Horror,Thriller</td>\n",
       "      <td>2016</td>\n",
       "      <td>117</td>\n",
       "      <td>7.3</td>\n",
       "      <td>157606</td>\n",
       "      <td>138.12</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Sing</td>\n",
       "      <td>Animation,Comedy,Family</td>\n",
       "      <td>2016</td>\n",
       "      <td>108</td>\n",
       "      <td>7.2</td>\n",
       "      <td>60545</td>\n",
       "      <td>270.32</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Suicide Squad</td>\n",
       "      <td>Action,Adventure,Fantasy</td>\n",
       "      <td>2016</td>\n",
       "      <td>123</td>\n",
       "      <td>6.2</td>\n",
       "      <td>393727</td>\n",
       "      <td>325.02</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Rank                    Title                     Genre  Year  \\\n",
       "0     1  Guardians of the Galaxy   Action,Adventure,Sci-Fi  2014   \n",
       "1     2               Prometheus  Adventure,Mystery,Sci-Fi  2012   \n",
       "2     3                    Split           Horror,Thriller  2016   \n",
       "3     4                     Sing   Animation,Comedy,Family  2016   \n",
       "4     5            Suicide Squad  Action,Adventure,Fantasy  2016   \n",
       "\n",
       "   Runtime (Minutes)  Rating   Votes  Revenue (Millions)  Metascore  \n",
       "0                121     8.1  757074              333.13       76.0  \n",
       "1                124     7.0  485820              126.46       65.0  \n",
       "2                117     7.3  157606              138.12       62.0  \n",
       "3                108     7.2   60545              270.32       59.0  \n",
       "4                123     6.2  393727              325.02       40.0  "
      ]
     },
     "execution_count": 236,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = df.drop(columns = ['Description' ,'Director','Actors'])\n",
    "df1.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploratory Data Analysis          "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![mov](http://ybhere.com/wp-content/uploads/2017/12/imax-theatre.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Univariate Analysis\n",
    "\n",
    "Univariate analysis is the simplest form of analyzing data. “Uni” means “one”, so in other words your data has only one variable. It doesn't deal with causes or relationships (unlike regression) and it's major purpose is to describe it takes data, summarizes that data and finds patterns in the data.The key pointers to the Univaraite analysis are to find out the outliers present in the data. We also tend to find the disitribution of the data on the dataset which can further help us for the Bivaraite/Multivariate analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9a254e1f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = df1['Rating']\n",
    "sns.distplot(x)\n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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XyACQBEEGgCQIMgAkQZABIAmCDABJEGQASOL/AZHlXjuPYAGOAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9a253a9630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(df1['Rating'])\n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " ###   Inferences :-\n",
    "- We observe that the plot is left skewed.\n",
    "- There are almost no outliers present in the plot\n",
    "- The ratings given are between 6-8 out of 10\n",
    "- So the users have been generous with their ratings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Runtime (Minutes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9a24e12a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = df1['Runtime (Minutes)']\n",
    "sns.distplot(x)\n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9a254ccf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(df1['Runtime (Minutes)'])\n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Inferences :-\n",
    "- The plot is little right-skewed\n",
    "- Here also the number of outliers present are less\n",
    "- The average runtime of movies is somewhere between 100-120 minutes\n",
    "- Movies with a runtime of more than 140 minutes are quite less in number"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Metascore"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QpFOLuPP8gnISE4zPjMuP64HkI8lITeKzEwewv6aOp+aUUVsfCbskaYcUCNKpvbe6krId+7nylH4d7lRRY3ndu3DdqQWU7djPSws1yCx/T4EgnVZpZTV/Wb6VUXlZnJIf/1cVxWJkXhYXDevFwo27mKmpsqUR3aksndKeg7VMnbeRnIxUPjM2r8OeKmrK+Sf1oqq6hrdWbCM9JYmJg7LDLknaCfUQpNOpjzhT55ZxqK6emyf0JzU5/qanOB5m0fGSk/t045XFm1hSvivskqSdUCBIpzNj2RbWV+3n6rF59M5MC7ucUCQmGDeN78+A7K48P7+cd3T6SNApI+lkFpbt5IOS7Uwc1JMxBT3CLidUyYkJTJk4kN9+UModTy7gkSmnct5JvVpc7+k5ZUf1fTRxXvxQD0E6jY079vPiwgoG5aRz+aj4nbiuNXVJSeT2Mwsp6pXBHU8s4O2V6il0ZgoE6RT2HKjlD3M20C0tiZvG94+LR2K2la6pSTz1xQkM7ZPBl59cwFsrtoZdkoQkpkAws0lmtsrMSszsniY+TzWzZ4PP55jZwGB5tpm9bWbVZvarRuu8E2xzUfDVcl9V5BgcrK3nD3M2cKg2wpSJA0lP1ZnSxrp3TeGp2ydyct9ufPnJBUxfvCnskiQELQaCmSUCDwKXAsOBm8xseKNmtwM73X0I8DPg/mD5QeB7wHea2fwt7j4m+FJfVVpdJOJ8+7nFVOw8wPXFBfTJ6pyDyLHI6prMU1+cwLgBPfj61IVHPVYg8S+WHsJ4oMTdS929BpgKTG7UZjLwePB6GnChmZm773P3D4gGg0ib+/mbq3lt6WY+NaIPw/tlhl1Ou9ctLZknvjCe84bm8s8vLuXhd9eGXZK0oVgCIQ/Y2OB9ebCsyTbuXgfsBmK52+V3wemi71lnujNI2sTLiyp4YGYJ1xfnc3ZRTtjlxI205EQenlLMFaP78l9/WslPZ6zUNBedRJiDyre4+yjg7OBrSlONzOwOM5tvZvMrKyvbtECJX/PW7+C7zy9hQmFPfnjVqE51J3JrSElK4Bc3juWm8QU8+PZa/m36MiIRhUJHF0sgVAAFDd7nB8uabGNmSUAWUHWkjbp7RfDvXuBpoqemmmr3iLsXu3txbm7LDwsXWbd9H196Yj75Pbrw8JRTSUnSxXTHIjHB+NHVo7jjnEE8MWsD3522hHqFQocWy+UW84AiMysk+ov/RuDmRm2mA7cBs4BrgZl+hD5mEBrd3X27mSUDVwBvHkP9In9j574aPv+7uSSY8bvPn0b3rilhlxTXzIx7Lz2ZjNQk/ucvqzGDMQXdSVCPq0NqMRDcvc7M7gZmAInAY+6+zMzuA+a7+3TgUeBJMysBdhANDQDMbD2QCaSY2VXAJcAGYEYQBolEw+A3rbpnEneO5qqWpu5+PVhbz5eemM+m3Qd55ksTGJCd3prldVpmxtcuLCLizs/fXMO67fu4emyeQqEDiumCbHd/HXi90bLvN3h9ELiumXUHNrPZU2MrUaRl9RHnG1MXsaBsJ7+8aSynDji+J5/pksu/942LhhJxeOCtNSSaMXlMP43NdDA6uSpxz935j1eW8cayLXzv8uFcMVrTUpwo37yoiHOKcpm7fgfvrdZFHh2NbtmUuPfrd9fyxKwN3HHOIL5wVmHY5XRoZsanRvRm14EaZizfSo/0FEZ3kocLdQYKBIlrz8wt4ydvrGLymH7cM+nksMvpFMyMa8fls/tALdMWlJPVJVnjNR2EThlJ3Hpl8Sb++cWlnH9SLj+99hQSNGFdm0lKTGDKhAFkdUnmD7M3sPdgbdglSStQIEhcmrlyK998dhGnDezJ/96iew3C0DU1ic9OHMChugjTFpQT0d3McU//F0ncKdlWzT/84SOG9c3k0duK6ZLSuR6B2Z70zkzj8tF9WbOtmg9LtoddjhwnjSFIXCnZVs0Ts9YzpFcGj39hPN3SksMuqUM4nstsxw/sScm2av68bCuDcjLI69GlFSuTtqQegsSNtZXVPDl7PdkZKTz1xQn0TNddyO2BmXH12Dwy0pKYOq+M2vpI2CXJMVIgSFw43DPo0TWF288aRHZGatglSQNdU5K4Zlw+VftqdH9CHFMgSLu3cssenpi1nuz0VG4/q5AMPfGsXRrSK4PR+Vm8u7qSqupDYZcjx0CBIO3axxW7eWp2Gb0z0/jiWYUaM2jnLhvZl8QE45Ulm/QMhTikQJB266OynUydV0Zejy7cflYhXdUzaPcyuyRz0bDerN5azfLNe8IuR46SAkHapVmlVUxbUE5hTjqfP3Mgacm6tDReTByUTZ/MNF5dslkDzHFGgSDtirvzzqptvLJ4E8P6ZnLr6QNJTVIYxJPEBOOK0X3ZfaCWOaVHfE6WtDPqg0u74e7MWLaV99ZUMqagO9eMyydR01HEpUG5GRT1yuCd1ZXsPVirsZ84oR6CtAuRiPPKks28t6aS8YU9ufZUhUG8u3h4b/bX1PPYB+vDLkVipECQ0NVHnH/64xJml1Zx1pAcJp/ST0/j6gDye3RlRL9MfvN+KTv31YRdjsRAp4wkVPUR57vPL+aFhRVccHIvLjy5V0xP4dITzeLDRcN688DMNTz07lruvWxY2OVIC9RDkNBEgp7BCwsr+PbFQ7loWG89krGD6Z2ZxtVj8/j9X9ezbe/BsMuRFigQJBSRiHPvC0uZtqCcb1xUxFcvLAq7JDlBvnpBETX1EX7/4fqwS5EWKBCkzbk7P3xtBc/O38hXLxjC1xUGHVphTjqXjezLk7M2sEcP0mnXFAjS5n77/joe+3AdnztjIN+6eKhOE3UCd547mL2H6jT2084pEKRNvbyogv98fQWXj+rL968YrjDoJEblZ3F2UQ6PfrCOg7X1YZcjzYgpEMxskpmtMrMSM7unic9TzezZ4PM5ZjYwWJ5tZm+bWbWZ/arROqea2dJgnQdMvxk6vNmlVXzn+cWML+zJ/7tez0DubO48dzCVew/x4sKKsEuRZrQYCGaWCDwIXAoMB24ys+GNmt0O7HT3IcDPgPuD5QeB7wHfaWLTvwa+BBQFX5OOZQckPmzadYCvPPURBT278pspxZqbqBM6Y3A2o/OzePjdtdRHNBNqexRLD2E8UOLupe5eA0wFJjdqMxl4PHg9DbjQzMzd97n7B0SD4RNm1hfIdPfZHp0j9wngquPZEWm/DtXVc9dTH3Gwtp5HphST1VXTGHRGZsad5w5mfdV+/rJ8S9jlSBNiuTEtD9jY4H05MKG5Nu5eZ2a7gWyguadu5wXbabjNvFgKlvhxeADxpUUVLNq4i5vH92fuuh3MXbcj5MokLJ8a0Yf8Hl147IP1TBrZN+xypJF2P6hsZneY2Xwzm19ZqUfzxZuFZTuZu24H5xTlMDIvK+xyJGSJCcbnzhjI3PU7WFq+O+xypJFYAqECKGjwPj9Y1mQbM0sCsoAjzXtbEWznSNsEwN0fcfdidy/Ozc2NoVxpL3bur2H64k0MzO7KxcP7hF2OtBPXn1ZAekoij324LuxSpJFYAmEeUGRmhWaWAtwITG/UZjpwW/D6WmCmH+H5ee6+GdhjZhODq4tuBV4+6uql3YpEnGkLomcFrzu1QDOXyicy05K5/rQCXlm8ia17NJ1Fe9JiILh7HXA3MANYATzn7svM7D4zuzJo9iiQbWYlwLeATy5NNbP1wP8AnzOz8gZXKN0F/BYoAdYCf2qdXZL24LEP17Fu+z6uGN2XHukpYZcj7cznzhhIvTtPzFofdinSQEyznbr768DrjZZ9v8Hrg8B1zaw7sJnl84GRsRYq8WP11r38ZMYqhvXNZFz/HmGXI+3QgOx0Lh7Wm6fnlHH3+UV0SdFlyO1Bux9UlvhSH3H+cdoSuqUmcfXYPN2JLM36wlmF7Nxfy0uLdKNae6FAkFb19NwyFm3cxfeuGE5Gqh63Ic2bUNiT4X0z+d2H6zjCkKO0If0fKzFraWKyvQdr+dmbqxmSm8G+Q3XqHcgRmRmfP3Mg3522hA9LqjirKCfskjo99RCk1by2dDN19c6VY/opDCQmnz6lHzkZKfxOl6C2C+ohSKtYs3UvS8p3c+GwXuRkpIZdjrQjLfUsR+d3Z+bKbfzyrTVkZ6Ry84T+bVSZNKYeghy3ukiEV5ZsIicjhXOLdPOgHJ0JhT1JMOOvpUe6l1XaggJBjtustVVsr67hitH9SErUj5QcnW5pyYzOz2LBhp16VkLI9H+vHJe9B2uZuXIbJ/XuxtDe3cIuR+LUGYNzqKmLMH+9Jj4MkwJBjstflm+ltj7C5aM0c6Ucu7weXRiYnc5f11ZRVx8Ju5xOS4Egx6xi1wEWbNjJGYNzyOmmgWQ5PmcX5bDrQC2vf6xnJYRFgSDHxN15bckmuqYkcsHJvcIuRzqAk/p0Iycjld+8V6ob1UKiQJBjsmzTHtZX7efi4X30OExpFQlmnDkkm6UVu5mjhyiFQoEgR62uPsIby7bQJzON4oGavE5az7j+PeiZnsJv3y8Nu5ROSYEgR+2va6vYsa+Gy0b1JUF3JEsrSk5MYMrEAby5Yhsl26rDLqfTUSDIUak+VMfbq6KXmQ7plRF2OdIBTTl9AGnJCTz07tqwS+l0FAhyVN5cEb3M9NJReiSmnBg5GancNL4/Ly6soKxqf9jldCoKBInZ5t0HmLduBxMKs+nVLS3scqQDu/PcwSQmGL9+tyTsUjoVBYLExN15dclmuqQkctGw3mGXIx1c78w0biguYNqCcip2HQi7nE5DgSAx+dPHW1i3fR8XDeutxx1Km7jzvMEAPPSOxhLaigJBWnSwtp7/fG0FfTLTGF/YM+xypJPI696Fa0/N59l5G9my+2DY5XQKCgRp0cPvllKx6wBXjNZlptK27jpvCPXu/OrtNWGX0ikoEOSIyqr28+t3S7hsVB8G5eoyU2lbBT27csuE/jwzd6PuS2gDCgRplrvzry9/TKIZ37tieNjlSCf19QuL6JKcyI//tDLsUjq8mALBzCaZ2SozKzGze5r4PNXMng0+n2NmAxt8dm+wfJWZfarB8vVmttTMFpnZ/NbYGWldryzZzHurK/nOp06ib1aXsMuRTio7I5V/OG8wb67Yymw9Ve2EajEQzCwReBC4FBgO3GRmjf9cvB3Y6e5DgJ8B9wfrDgduBEYAk4D/DbZ32PnuPsbdi497T6RV7d5fy32vLGd0fha3nj4w7HKkk7v9rEL6ZqXxo9dXEIloJtQTJZYewnigxN1L3b0GmApMbtRmMvB48HoacKGZWbB8qrsfcvd1QEmwPWnnfvzGSnbur+FHV48iMUEDyRKutOREvvupk1hSvpuXF1eEXU6HFUsg5AEbG7wvD5Y12cbd64DdQHYL6zrwZzNbYGZ3NPfNzewOM5tvZvMrKytjKFeO13urK3lmbhlfOHMgI/Oywi5HBICrxuRxSn4WP3x1BTv31YRdTocU5qDyWe4+juipqK+Y2TlNNXL3R9y92N2Lc3Nz27bCTmjnvhq+8/xiinpl8O1LTgq7HJFPJCQYP75mNLsP1PKD15aHXU6HlBRDmwqgoMH7/GBZU23KzSwJyAKqjrSuux/+d5uZvUj0VNJ7x7AP0krcnXtfWMrO/TX87vOn6cE3Eoqn55Qd8fOzi3J44aMKMtOSGdq7GzdP6N9GlXV8sfQQ5gFFZlZoZilEB4mnN2ozHbgteH0tMNOjz8CbDtwYXIVUCBQBc80s3cy6AZhZOnAJ8PHx744cj2kLynlj2Ra+c8lJjOinU0XSPp1/Ui9yM1J5aWEFh+rqwy6nQ2kxEIIxgbuBGcAK4Dl3X2Zm95nZlUGzR4FsMysBvgXcE6y7DHgOWA68AXzF3euB3sAHZrYYmAu85u5vtO6uydFYs3Uv/z59GRMH9eSLZw8KuxyRZiUlJvCZcXnsPlDLn5ZuCbucDsXi6WHWxcXFPn++bllobbv31zL5wQ+oPlTPK189s9l7Dlrqyou0pTc+3sx7a7bz8xvGcNXYxte5SCMxXSqoO5U7ubr6CHc/8xEVuw7w8JRxugFN4sbFw/swMDude19Yyuqte8Mup0NQIHRy97+xkvfXbOeHV43k1AGayVTiR2KCceP4AtJTk7jzDwuoPlQXdklxT4HQiT36wTp+8/46bj10pdi9AAANsklEQVR9ADecpis1JP5kpiXzq5vHsqFqP9+Yuoi6+kjYJcU1BUIn9czcMn7w6nIuHdmH72viOoljEwdl8/0rhvPmiq3884tLiadx0fYmlvsQpIN5aWEF//ziUs47KZdf3DiWpET9XSDx7bYzBlJVfYgHZpbQIz2Fey8dFnZJcUmB0Mk8P38j97ywlAmFPXnos6eSkqQwkI7hmxcPpWpfDQ+/W0pWl2TuOm9I2CXFHQVCJ+HuPPh2Cf/959WcNSSHh6acqjuRpUMxM+6bPJI9B+v4yRurOFBTz7cuHorpKX8xUyB0AnX1Ef79lWX8YXYZV43px0+uPYWUpATdVyAdTmKC8fMbxtA1OZFfzixh94Fa/v3TI0jQjL0xUSB0cJV7D/G1ZxYyq7SKL587iH/61Mn6n0M6tMQE48fXjKJ712Qefq+Unftr+em1o9UjjoECoQNp/Bf/hqp9PDO3jP019VwzLp8BPdOZOm9jM2uLdBxmxr2XDaNHego//tNKyqr28fCUYvpkpYVdWrumqSs6kMOBUB9x3l9TyZsrttK9awo3j+9Pv+66A1k6p+Wb9vDcgo2kJiXw2QkD+KdLTw67pDDEdFpAPYQOpnLvIaYt2MjGnQcYmZfF1WPy6JKirrJ0XsP7ZXJnxmCenLWeR94vpU9WGreePkCDzU1QIHQQtfUR3ltdyVsrt5KUkMANpxVwSn73sMsSaRf6ZKbxlfOG8PyCcv5t+jJml1Zx/7WjyUxLDru0dkWnjDqAeet38K8vfsyqrXsZ1qcbk8fkkdlFP+gijUXc2V9Tx/1vrKJf9zR+fsOYzjKHl2Y77eg27TrAN59dxHUPzaL6UB1TJg5gyukDFQYizUgw445zBvPcl08H4LqHZvHTGSupqdMcSKBAiEt7D9by0xkrOf+/3+G1pZu567zB/OVb5zCsb2bYpYnEhVMH9OD1r53NNePyefDttXzm1x+yfNOesMsKncYQ4si+Q3U8Pms9j7xXyq79tVw1ph/fnXQyebqCSCRmDS/PHtu/BylJCby0aBNX/PJ9zh2ay/kn9fqb+b060zObFQjt2OEf3IO19cxdt4P311Syr6aek3p34+bx/cnv0ZV3V1WGXKVIfBvRL4vC7HReW7qZt1dV8nHFHj59Sj+G9MoIu7Q2p0Box3YfqGXW2u3MWbeDQ3URhvTK4KKTe9E/Oz3s0kQ6lK6pSVxXXMApBd2ZvngTj324jhH9MrlsZN+wS2tTCoR2JhJx/rq2ij/M3sCfl2/BHUblZ3F2Ua5ODYmcYEN7d+PrFxbxYcl23l61jVVb9rJjfw13njuY3G6pYZd3wumy03ZibWU1Ly+s4KVFmyjbsZ+e6SmM7JfJ+MJseqanhF2eSKez+0Atf1m+lUUbd5KalMitZwzgC2cW0jszLqe/iOmyUwVCSCIRZ9mmPby5YitvrtjKsk17SDA4c0gO14zL59JRffjjgoqwyxTp9CYO6skDb63h5cWbSDRj0sg+3HbGQIoH9Iinu51bLxDMbBLwCyAR+K27/7jR56nAE8CpQBVwg7uvDz67F7gdqAe+5u4zYtlmU+I5EOojztrKauas28Gc0ipml+5ge/UhEgzG9e/BpJF9uPKUfvRq8NeHpqcWCd/hq4w2VO3jyVkbeHb+RvYerKN/z65cNqovl4/qy8i8zPYeDq0TCGaWCKwGLgbKgXnATe6+vEGbu4DR7n6nmd0IXO3uN5jZcOAZYDzQD3gTGBqsdsRtNiUeAqE+4mzdc5DSyn2Ubq+mZFs1yzbtYfmmPRyorQcgMy2Jwpx0inp1Y2ifbmSkaihHpL1qfNnp/po6Xl28mVeXbubDku3UR5ycjBTGF/Zk4qBsRuVlMbR3N9Lb1//XrTa53XigxN1LAcxsKjAZaPjLezLw78HracCvLBqXk4Gp7n4IWGdmJcH2iGGbbcbdiXj0l3ldJEJtvVNXH6GmPkJNXYSDtRH219RxoKaefTX17D1Yy54Dtew6UEtVdQ3bqw+xvfoQm3YdZMueg9RH/i9kM1KTGNa3GzeOL2DvwToG9OxKz/SU9v7XhIg0o2tKEtefVsD1pxWwc18Nb67Yyqy1VcwureL1pVs+ade/Z1cGZHelX1YX+nXvQm63VLp3TaZ712S6pSbTJSWRrimJpCUnkpxoJCcmkJRgJCZYaL8fYgmEPKDhJPrlwITm2rh7nZntBrKD5bMbrZsXvG5pm63m07/8gDXb9uIODuDgREMg4s7xDKN075pMTkYq2ekpTCjsSb/u0YM/MKcrg3Mz6NUt9ZODq1NAIh1Lj/QUrisu4LriAtyd8p0HWL55D6u37GXl1r2U79jPyi17qdx76Ki2awaJZphFn+1gwOJ/u+SEP+SnXfVpmmJmdwB3BG+rzWxVK206B9h+vBvZ0AqFtKJW2ad2qCPul/YpTtzSTvary38e1+pvuPuklhrFEggVQEGD9/nBsqbalJtZEpBFdHD5SOu2tE0A3P0R4JEY6jwqZjbf3Ytbe7th6oj7BB1zv7RP8aOj7ldTYpncbh5QZGaFZpYC3AhMb9RmOnBb8PpaYKZHR6unAzeaWaqZFQJFwNwYtykiIm2oxR5CMCZwNzCD6CWij7n7MjO7D5jv7tOBR4Eng0HjHUR/wRO0e47oYHEd8BV3rwdoaputv3siIhKruLoxrTWZ2R3B6agOoyPuE3TM/dI+xY+Oul9N6bSBICIif0sPyBEREaATBoKZTTKzVWZWYmb3hF3PsTKzAjN728yWm9kyM/t6sLynmf3FzNYE//YIu9ajZWaJZrbQzF4N3hea2ZzgmD0bXIgQV8ysu5lNM7OVZrbCzE6P92NlZt8MfvY+NrNnzCwtHo+VmT1mZtvM7OMGy5o8Nhb1QLB/S8xsXHiVt75OFQjBNBwPApcCw4Gbguk14lEd8G13Hw5MBL4S7Ms9wFvuXgS8FbyPN18HVjR4fz/wM3cfAuwkOjdWvPkF0WvBTwZOIbp/cXuszCwP+BpQ7O4jiV4cciPxeax+DzS+Rr+5Y3Mp0asli4jeH/XrNqqxTXSqQKDBNBzuXgMcnjIj7rj7Znf/KHi9l+gvmDyi+/N40Oxx4KpwKjw2ZpYPXA78NnhvwAVEp0SB+NynLOAcolfj4e417r6LOD9WRK9S7BLce9QV2EwcHit3f4/o1ZENNXdsJgNPeNRsoLuZdZin6HS2QGhqGo68ZtrGDTMbCIwF5gC93X1z8NEWoHdIZR2rnwP/CESC99nALnevC97H4zErBCqB3wWnwn5rZunE8bFy9wrgv4EyokGwG1hA/B+rw5o7Nh3yd8hhnS0QOhwzywD+CHzD3fc0/Cy4OTBuLiMzsyuAbe6+IOxaWlkSMA74tbuPBfbR6PRQHB6rHkT/Wi4kOpNxOn9/2qVDiLdjczw6WyDEMg1H3DCzZKJh8JS7vxAs3nq4Cxv8uy2s+o7BmcCVZrae6Om8C4iee+8enJaA+Dxm5UC5u88J3k8jGhDxfKwuAta5e6W71wIvED1+8X6sDmvu2HSo3yGNdbZA6DBTZgTn1h8FVrj7/zT4qOE0IrcBL7d1bcfK3e9193x3H0j02Mx091uAt4lOiQJxtk8A7r4F2GhmJwWLLiR6937cHiuip4ommlnX4Gfx8D7F9bFqoLljMx24NbjaaCKwu8Gppfjn7p3qC7iM6MN51gL/EnY9x7EfZxHtxi4BFgVflxE95/4WsIboA4l6hl3rMe7fecCrwetBROfAKgGeB1LDru8Y9mcMMD84Xi8BPeL9WAH/AawEPgaeBFLj8VgRfYjXZqCWaG/u9uaODdEHzTwY/P5YSvQqq9D3obW+dKeyiIgAne+UkYiINEOBICIigAJBREQCCgQREQEUCCIiElAgSIdnZm5mf2jwPsnMKg/PpnqE9caY2WUnvkKR9kGBIJ3BPmCkmXUJ3l9MbHeXjiF6b0ebanCnr0ibUiBIZ/E60VlUAW4iejMSAGaWHsyJPzeYfG5ycCf7fcANZrbIzG4ws/FmNito89fDdx6b2Yhg3UXBHPlFwfJbg/eLzezJYNlAM5sZLH/LzPoHy39vZg+Z2RzgJ03V1Hb/qaTTCvvOOH3p60R/AdXAaKJzCKURvav7PP7vTugfAZ8NXncneid7OvA54FcNtpMJJAWvLwL+GLz+JXBL8DoF6AKMCLaTEyw/fKfrK8BtwesvAC8Fr38PvAokHqmmsP9b6qtjf6lrKp2Cuy8Jpgm/iWhvoaFLiE6q953gfRrQv4nNZAGPBz0AB5KD5bOAfwme5fCCu68xswuA5919e/D9D8+3fzrwmeD1k8BPGmz/eXevb6Gmhg8OEmlVCgTpTKYTncP/PKJz1RxmwDXuvqphYzOb0Gj9HwBvu/vVQbi8A+DuTwenei4HXjezLx9jfftaqknkRNIYgnQmjwH/4e5LGy2fAXw1mLUTMxsbLN8LdGvQLov/G4z+3OGFZjYIKHX3B4jOijkamAlcZ2bZQZueQfO/Ep3JFeAW4P1mam2uJpETRoEgnYa7lwe/tBv7AdHTP0vMbFnwHqJTOQ8/PKhM9PTOf5nZQv62d3098LGZLQJGEn3E4jLgP4F3zWwxcHiK8q8CnzezJcAUos+PbkpzNYmcMJrtVEREAPUQREQkoEAQERFAgSAiIgEFgoiIAAoEEREJKBBERARQIIiISECBICIiAPx/xXkP1f36QrYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9a252a9550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = df1['Metascore']\n",
    "sns.distplot(x,);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWQAAAEKCAYAAAAl5S8KAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4wLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvpW3flQAADGZJREFUeJzt3X+s3Xddx/HXe72QFRRGS7LMDjJIiQQWBNIoRP9YcNMKROIvkKAbU4N/mK4uEuOPPwwSNRKjbiVBCSItIiqwIJKmZMA0JpCZLhvbYCA3MGUNP7pOAdlE233843yv3G7tusLuOe/e83gkJz3ne773nk+++fR5v/d77/ncGmMEgMU7b9EDAGBGkAGaEGSAJgQZoAlBBmhCkAGaEGSAJgQZoAlBBmhi5Wx23r179zh06NBGjQVgs6pHs9NZnSHfe++9395QADgjlywAmhBkgCYEGaAJQQZoQpABmhBkgCYEGaAJQQZoQpABmhBkgCYEGaAJQQZoQpABmhBkgCYEGaAJQQZoQpABmhBkgCYEGaCJs/ojp3A29u3bl9XV1UUP42GOHDmSJNmxY8eCR/LIdu7cmT179ix6GMyRILNhVldXc9udd+XEE7Yteign2XL/V5MkX/pm3+m/5f77Fj0EFqDvjGRTOPGEbXng2S9d9DBOsvXTB5Ok3bjWWxsjy8U1ZIAmBBmgCUEGaEKQAZoQZIAmBBmgCUEGaEKQAZoQZIAmBBmgCUEGaEKQAZoQZIAmBBmgCUEGaEKQAZoQZIAmBBmgCUEGaEKQAZoQZIAmBBmgCUEGaEKQAZoQZIAmBBmgCUEGaEKQAZoQZIAmBBmgCUEGaEKQAZoQZIAmBBmgCUEGaEKQAZoQZIAmBBmgCUEGaEKQAZoQZIAmWgd537592bdv36KHASyxeXZoZS6v8m1aXV1d9BCAJTfPDrU+QwZYJoIM0IQgAzQhyABNCDJAE4IM0IQgAzQhyABNCDJAE4IM0IQgAzQhyABNCDJAE4IM0IQgAzQhyABNCDJAE4IM0IQgAzQhyABNCDJAE4IM0IQgAzQhyABNCDJAE4IM0IQgAzQhyABNCDJAE4IM0IQgAzQhyABNCDJAE4IM0IQgAzQhyABNCDJAE4IM0MRcgnzs2LFcc801OXbs2DxeDuCcNJcg79+/P3fccUcOHDgwj5cDOCdteJCPHTuWQ4cOZYyRQ4cOOUsGOI2VjX6B/fv358EHH0ySnDhxIgcOHMi11177qD72yJEjeeCBB7J3796NHCIbZHV1Nef9z1j0MM5J5/3317K6+nVzv4HV1dVs3bp1Lq91xjPkqnpdVR2uqsNHjx496xf48Ic/nOPHjydJjh8/nhtvvPHsRwmwBM54hjzGeGuStybJrl27zvp05/LLL8/Bgwdz/PjxrKys5IorrnjUH7tjx44kyXXXXXe2L0sDe/fuzS2f+/Kih3FOevD8J2XnMy809xuY53cpG34N+aqrrsp5581eZsuWLbnyyis3+iUBzkkbHuTt27dn9+7dqars3r0727dv3+iXBDgnbfgP9ZLZWfLdd9/t7BjgEcwlyNu3b8/1118/j5cCOGd56zRAE4IM0IQgAzQhyABNCDJAE4IM0IQgAzQhyABNCDJAE4IM0IQgAzQhyABNCDJAE4IM0IQgAzQhyABNCDJAE4IM0IQgAzQhyABNCDJAE4IM0IQgAzQhyABNCDJAE4IM0IQgAzQhyABNCDJAE4IM0IQgAzQhyABNCDJAE4IM0IQgAzQhyABNCDJAE4IM0MTKogfwSHbu3LnoIQBLbp4dah3kPXv2LHoIwJKbZ4dcsgBoQpABmhBkgCYEGaAJQQZoQpABmhBkgCYEGaAJQQZoQpABmhBkgCYEGaAJQQZoQpABmhBkgCYEGaAJQQZoQpABmhBkgCYEGaAJQQZoQpABmhBkgCYEGaAJQQZoQpABmhBkgCYEGaAJQQZoQpABmhBkgCYEGaAJQQZoQpABmhBkgCYEGaAJQQZoQpABmhBkgCYEGaCJlUUPgM1ty/33ZeunDy56GCfZcv+xJGk3rvW23H9fkgsXPQzmTJDZMDt37lz0EE7pyJHjSZIdOzoH78K2x4+NU2OMR73zrl27xuHDhzdwOACbUj2anVxDBmhCkAGaEGSAJgQZoAlBBmhCkAGaEGSAJgQZoAlBBmhCkAGaEGSAJgQZoAlBBmhCkAGaEGSAJgQZoAlBBmhCkAGaEGSAJgQZoImz+iOnVXU0yb9t3HA2zFOT3LvoQTTieJzM8Xg4x+Rk3+nxuHeMsftMO51VkM9VVXV4jLFr0ePowvE4mePxcI7JyeZ1PFyyAGhCkAGaWJYgv3XRA2jG8TiZ4/FwjsnJ5nI8luIaMsC5YFnOkAHa21RBrqqnVdVNVfWpqvpkVe2dtm+rqhur6rPTv09Z9Fjnqaq2VNWtVfXB6fEzqurmqlqtqr+tqscveozzVFUXVNV7q+rTVXVXVb14medIVV07/X+5s6reXVXnL9scqaq3V9VXqurOddtOOSdq5vrp2NxeVS98rMaxqYKc5HiSXxtjPCfJi5L8SlU9J8lvJPnIGONZST4yPV4me5Pcte7xHyb5kzHGziT/keQXFzKqxbkuyaExxrOTfF9mx2Yp50hV7UhyTZJdY4xLk2xJ8rNZvjnyjiQP/T3h082JH0vyrOn2uiRvecxGMcbYtLckf5/kiiSfSXLRtO2iJJ9Z9NjmeAwunibTS5J8MEll9gvuK9PzL07yoUWPc47H48lJPp/p5yfrti/lHEmyI8kXkmxLsjLNkR9dxjmS5JIkd55pTiT58ySvPtV+3+lts50h/7+quiTJC5LcnOTCMcYXp6e+lOTCBQ1rEf40ya8neXB6vD3Jf44xjk+P78nsP+WyeEaSo0n+crqM87aqemKWdI6MMY4k+aMk/57ki0m+muSWLPccWXO6ObH2RWzNY3Z8NmWQq+q7krwvya+OMb62/rkx+5K2FL9aUlUvT/KVMcYtix5LIytJXpjkLWOMFyT5Rh5yeWLJ5shTkrwisy9U35PkiXn4t+5Lb15zYtMFuaoel1mM3zXGuGHa/OWqumh6/qIkX1nU+ObsB5P8eFXdneRvMrtscV2SC6pqZdrn4iRHFjO8hbgnyT1jjJunx+/NLNDLOkcuT/L5McbRMcb/Jrkhs3mzzHNkzenmxJEkT1u332N2fDZVkKuqkvxFkrvGGH+87qkPJLlqun9VZteWN70xxm+OMS4eY1yS2Q9qPjrGeE2Sm5L89LTb0hyPJBljfCnJF6rqe6dNP5zkU1nSOZLZpYoXVdUTpv8/a8djaefIOqebEx9IcuX02xYvSvLVdZc2viOb6o0hVfVDSf45yR351jXT38rsOvLfJXl6ZqvVvXKMcd9CBrkgVXVZktePMV5eVc/M7Ix5W5Jbk/zcGOObixzfPFXV85O8Lcnjk3wuydWZnZws5RypqjckeVVmv6V0a5Jfyuya6NLMkap6d5LLMlvV7ctJfifJ+3OKOTF94XpzZpd27k9y9Rjj8GMyjs0UZIBz2aa6ZAFwLhNkgCYEGaAJQQZoQpABmhBkNlxVjar6q3WPV6rq6Nrqc4/wcc+vqpdu/AihB0FmHr6R5NKq2jo9viKP7p1Nz08y9yCve4cazJUgMy8Hk7xsuv/qJO9ee6KqnjitR/sv04I/r5jW3/3dJK+qqtuq6lVV9f1V9fFpn4+tvduuqp47fext0/q0z5q2Xzk9/kRVvXPadklVfXTa/pGqevq0/R1V9WdVdXOSN51qTPM7VCytRS9557b5b0n+K8nzMls34vwkt2X2rqgPTs//fmbvBEuSC5L8a2aL3Lw2yZvXfZ4n5VtLQl6e5H3T/X1JXjPdf3ySrUmeO32ep07bt03//kOSq6b7v5Dk/dP9d2S29OSWRxrToo+l2+a++daMuRhj3D4tifrqzM6W1/uRzBZBev30+PzM3q76UE9Osn86Ax5JHjdt/3iS366qi5PcMMb4bFW9JMl7xhj3Tq+/9jboFyf5yen+O5O8ad3nf88Y48QZxrR+oX94TAky8/SBzNbevSyzdZnXVJKfGmN8Zv3OVfUDD/n4Nya5aYzxE1Pc/zFJxhh/PV1qeFmSg1X1y9/m+L5xpjHBRnINmXl6e5I3jDHueMj2DyXZMy3akqp6wbT960m+e91+T863fhj42rWN02JJnxtjXJ/ZilzPS/LRJD9TVdunfbZNu38ss5XvkuQ1mS1GdSqnGxNsGEFmbsYY90zRfKg3Znb54faq+uT0OJktAfmctR/qZXZ54Q+q6tac/N3dK5PcWVW3Jbk0yYExxieT/F6Sf6qqTyRZW451T5Krq+r2JD+f2d8bPJXTjQk2jNXeAJpwhgzQhCADNCHIAE0IMkATggzQhCADNCHIAE0IMkAT/we/+QVVkdddvwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9a2a5db8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(df1['Metascore'])\n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Inferences :-\n",
    "- The plot follows a normal distribution\n",
    "- The outliers for the plot are almost negligible\n",
    "- The average Metascore here is 60"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bivariate Analysis\n",
    "\n",
    " Bivariate analysis is the simultaneous analysis of two variables (attributes). It explores the concept of relationship between two variables, whether there exists an association and the strength of this association, or whether there are differences between two variables and the significance of these differences."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Co-relation "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9a253a3e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize =(15,15))\n",
    "sns.heatmap(df.corr(),annot=True)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Year vs Rating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9a2af76b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(x = 'Year',y = 'Rating',data = df1 , x_jitter=0.2, scatter_kws={'alpha':0.1})\n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9a2a54d908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x='Year', y='Rating', data=df1, kind=\"kde\")\n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Inferences :-\n",
    "- We observe a decreasing trend from the plot\n",
    "- We have maximum data from the year 2016\n",
    "- We can also say that as years passed by people became more conscious about watching movies because of the decrease in the ratings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Year vs Metascore"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9a24a095c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(x = 'Year',y = 'Metascore',data = df1 , x_jitter=0.2, scatter_kws={'alpha':0.1})\n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9a250e0f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x='Year', y='Metascore', data=df1, kind=\"kde\")\n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Inferences :-\n",
    "- Here also we can see that there is a slight decreasing trend\n",
    "- Again the data for 2016 is maximum \n",
    "- The critics have been a little generous over the years so there is a very slight decrease in the Metascore"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Year vs Runtime (Minutes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9a253ce048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(x = 'Year',y = 'Runtime (Minutes)',data = df1 , x_jitter=0.2, scatter_kws={'alpha':0.1})\n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9a2493f9e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x=\"Year\", y='Runtime (Minutes)', data=df1, kind=\"kde\")\n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Inferences :-\n",
    "- We observe a slight decreasing trend in the plot\n",
    "- The average runtime has been around 120 mins over the years"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Multi-Variate Analysis\n",
    "\n",
    "Multivariate analysis (MVA) is based on the statistical principle of multivariate statistics, which involves observation and analysis of more than one statistical outcome variable at a time."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Inferences from Runtime vs Rating in terms of Year\n",
    "- From the plots below we can say that the dataset contains maximum number of movies from 2016 and over the years the runtime of movies has been around 100-125 minutes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9a24db8940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grid = sns.FacetGrid(df1, col='Year',col_wrap = 4)\n",
    "grid.map(plt.scatter,'Runtime (Minutes)','Rating',alpha = 0.5)\n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# WordCloud"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What are Word Clouds?\n",
    "Word clouds (also known as text clouds or tag clouds) work in a simple way: the more a specific word appears in a source of textual data (such as a speech, blog post, or database), the bigger and bolder it appears in the word cloud."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We get to see the most common words used for a movie title in the dataset "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9a2a98bcf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import wordcloud\n",
    "from wordcloud import WordCloud, STOPWORDS\n",
    "\n",
    "# Create a wordcloud of the movie titles\n",
    "df1['Title'] = df1['Title'].fillna(\"\").astype('str')\n",
    "title_corpus = ' '.join(df1['Title'])\n",
    "title_wordcloud = WordCloud(stopwords=STOPWORDS,background_color='black', height=1500, width=4000).generate(title_corpus)\n",
    "\n",
    "# Plot the wordcloud\n",
    "plt.figure(figsize=(16,8))\n",
    "plt.imshow(title_wordcloud)\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We get to see the most common Genres of the Movie dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9a248a5940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a wordcloud of the movie Genres\n",
    "df['Genre'] = df1['Genre'].fillna(\"\").astype('str')\n",
    "title_corpus = ' '.join(df1['Genre'])\n",
    "title_wordcloud = WordCloud(stopwords=STOPWORDS,background_color='black', height=1500, width=4000).generate(title_corpus)\n",
    "\n",
    "# Plot the wordcloud\n",
    "plt.figure(figsize=(16,8))\n",
    "plt.imshow(title_wordcloud)\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Recommendation Systems"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![mov](https://blog.recart.com/wp-content/uploads/2018/03/image7.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Content Based Recommendation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![mov](https://image.slidesharecdn.com/sssw2013-130729093407-phpapp01/95/sssw-2013-feeding-recommender-systems-with-linked-open-data-6-638.jpg?cb=1380120194)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import TfidfVectorizer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![mov](https://cdn-images-1.medium.com/max/1200/1*KZrjbKHcsWt-zzUj2oRk3w.jpeg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "metadata": {},
   "outputs": [],
   "source": [
    "tf = TfidfVectorizer()\n",
    "tfidf_matrix = tf.fit_transform(df1['Genre'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1000, 21)\n"
     ]
    }
   ],
   "source": [
    "print(tfidf_matrix.todense().shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>14</th>\n",
       "      <th>15</th>\n",
       "      <th>16</th>\n",
       "      <th>17</th>\n",
       "      <th>18</th>\n",
       "      <th>19</th>\n",
       "      <th>20</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.402181</td>\n",
       "      <td>0.430870</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.571227</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.571227</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.394839</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.523459</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.544136</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.523459</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.764645</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.644452</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.658782</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.374818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.652317</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.477136</td>\n",
       "      <td>0.511172</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.714874</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.477136</td>\n",
       "      <td>0.511172</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.714874</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.391659</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.287037</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.874193</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.461223</td>\n",
       "      <td>0.494125</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.736963</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.569315</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.404068</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.715968</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.415354</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.700049</td>\n",
       "      <td>0.580872</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.588934</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.280259</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.402181</td>\n",
       "      <td>0.430870</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.571227</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.571227</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.454774</td>\n",
       "      <td>0.774086</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.440421</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.613760</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.636790</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.466687</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.454774</td>\n",
       "      <td>0.774086</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.440421</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.588934</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.280259</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.640103</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.768289</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.902971</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.429701</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.291748</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.544964</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.566490</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.544964</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.602049</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.427301</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.674500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.632779</td>\n",
       "      <td>0.364708</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.683066</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.454774</td>\n",
       "      <td>0.774086</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.440421</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.402181</td>\n",
       "      <td>0.430870</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.571227</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.571227</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.605680</td>\n",
       "      <td>0.648886</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.460543</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.764645</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.644452</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.605680</td>\n",
       "      <td>0.648886</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.460543</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>970</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.764645</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.644452</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>971</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.371085</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.720541</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.585762</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>972</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.337613</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.247428</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.908183</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>973</th>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.694240</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.719744</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>974</th>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.555907</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.264542</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.788026</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>975</th>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.418298</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.727988</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.543194</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>976</th>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.371085</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.720541</td>\n",
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       "    <tr>\n",
       "      <th>977</th>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>978</th>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>979</th>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.535157</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>980</th>\n",
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       "    <tr>\n",
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       "    <tr>\n",
       "      <th>983</th>\n",
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       "      <th>984</th>\n",
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       "    <tr>\n",
       "      <th>985</th>\n",
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       "      <th>986</th>\n",
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       "    <tr>\n",
       "      <th>987</th>\n",
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       "      <td>0.491495</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>988</th>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>989</th>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.588934</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.280259</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>0.477136</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.714874</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>991</th>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.250669</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.763431</td>\n",
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       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>992</th>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.556983</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>993</th>\n",
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       "      <th>994</th>\n",
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       "    <tr>\n",
       "      <th>995</th>\n",
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       "      <td>0.696113</td>\n",
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       "    <tr>\n",
       "      <th>996</th>\n",
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       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>997</th>\n",
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       "      <td>0.273025</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.831517</td>\n",
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       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.695680</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>999</th>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 21 columns</p>\n",
       "</div>"
      ],
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       "14   0.613760  0.000000  0.000000  0.000000  0.636790  0.000000  0.466687   \n",
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       "29   0.605680  0.648886  0.000000  0.000000  0.000000  0.000000  0.460543   \n",
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       "981  0.000000  0.000000  0.000000  0.000000  0.467988  0.000000  0.342976   \n",
       "982  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.233411   \n",
       "983  0.000000  0.000000  0.000000  0.000000  1.000000  0.000000  0.000000   \n",
       "984  0.000000  0.510266  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "985  0.000000  0.506781  0.000000  0.000000  0.490786  0.000000  0.000000   \n",
       "986  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "987  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.491495   \n",
       "988  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "989  0.000000  0.000000  0.000000  0.588934  0.000000  0.000000  0.280259   \n",
       "990  0.477136  0.511172  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "991  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.250669   \n",
       "992  0.000000  0.000000  0.000000  0.000000  0.556983  0.000000  0.408199   \n",
       "993  0.489359  0.524267  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "994  0.000000  0.000000  0.000000  0.000000  1.000000  0.000000  0.000000   \n",
       "995  0.000000  0.000000  0.000000  0.000000  0.000000  0.622014  0.358504   \n",
       "996  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "997  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.273025   \n",
       "998  0.000000  0.718352  0.000000  0.000000  0.695680  0.000000  0.000000   \n",
       "999  0.000000  0.000000  0.000000  0.000000  0.404418  0.000000  0.000000   \n",
       "\n",
       "           7         8         9  ...         11        12        13  \\\n",
       "0    0.000000  0.000000  0.571227 ...   0.000000  0.000000  0.000000   \n",
       "1    0.000000  0.000000  0.523459 ...   0.000000  0.000000  0.000000   \n",
       "2    0.000000  0.000000  0.000000 ...   0.764645  0.000000  0.000000   \n",
       "3    0.652317  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "4    0.000000  0.714874  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "5    0.000000  0.714874  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "6    0.000000  0.000000  0.000000 ...   0.000000  0.874193  0.000000   \n",
       "7    0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "8    0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "9    0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "10   0.700049  0.580872  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "11   0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "12   0.000000  0.000000  0.571227 ...   0.000000  0.000000  0.000000   \n",
       "13   0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "14   0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "15   0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "16   0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "17   0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "18   0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "19   0.000000  0.000000  0.544964 ...   0.000000  0.000000  0.000000   \n",
       "20   0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "21   0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "22   0.000000  0.000000  0.000000 ...   0.683066  0.000000  0.000000   \n",
       "23   0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "24   0.000000  0.000000  0.571227 ...   0.000000  0.000000  0.000000   \n",
       "25   0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "26   0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "27   0.000000  0.000000  0.000000 ...   0.764645  0.000000  0.000000   \n",
       "28   0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "29   0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "..        ...       ...       ... ...        ...       ...       ...   \n",
       "970  0.000000  0.000000  0.000000 ...   0.764645  0.000000  0.000000   \n",
       "971  0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "972  0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.908183   \n",
       "973  0.000000  0.000000  0.000000 ...   0.694240  0.000000  0.000000   \n",
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       "979  0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "980  0.714214  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "981  0.814466  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
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       "983  0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "984  0.860017  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "985  0.000000  0.708733  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "986  0.000000  0.000000  0.000000 ...   0.764645  0.000000  0.000000   \n",
       "987  0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "988  0.000000  0.000000  0.000000 ...   1.000000  0.000000  0.000000   \n",
       "989  0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "990  0.000000  0.714874  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "991  0.595264  0.000000  0.000000 ...   0.000000  0.763431  0.000000   \n",
       "992  0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "993  0.000000  0.000000  0.000000 ...   0.696902  0.000000  0.000000   \n",
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       "998  0.000000  0.000000  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "999  0.703831  0.584010  0.000000 ...   0.000000  0.000000  0.000000   \n",
       "\n",
       "           14        15        16        17        18   19   20  \n",
       "0    0.000000  0.000000  0.571227  0.000000  0.000000  0.0  0.0  \n",
       "1    0.544136  0.000000  0.523459  0.000000  0.000000  0.0  0.0  \n",
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       "10   0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
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       "13   0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "14   0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "15   0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "16   0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "17   0.000000  0.000000  0.000000  0.000000  0.768289  0.0  0.0  \n",
       "18   0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "19   0.566490  0.000000  0.544964  0.000000  0.000000  0.0  0.0  \n",
       "20   0.000000  0.000000  0.000000  0.000000  0.674500  0.0  0.0  \n",
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       "24   0.000000  0.000000  0.571227  0.000000  0.000000  0.0  0.0  \n",
       "25   0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "26   0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "27   0.000000  0.000000  0.000000  0.000000  0.644452  0.0  0.0  \n",
       "28   0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "29   0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "..        ...       ...       ...       ...       ...  ...  ...  \n",
       "970  0.000000  0.000000  0.000000  0.000000  0.644452  0.0  0.0  \n",
       "971  0.720541  0.000000  0.000000  0.000000  0.585762  0.0  0.0  \n",
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       "974  0.000000  0.000000  0.000000  0.788026  0.000000  0.0  0.0  \n",
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       "976  0.720541  0.000000  0.000000  0.000000  0.585762  0.0  0.0  \n",
       "977  0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "978  0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "979  0.000000  0.000000  0.000000  0.000000  0.844752  0.0  0.0  \n",
       "980  0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "981  0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "982  0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "983  0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "984  0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "985  0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "986  0.000000  0.000000  0.000000  0.000000  0.644452  0.0  0.0  \n",
       "987  0.000000  0.870880  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "988  0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "989  0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "990  0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "991  0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "992  0.000000  0.723287  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "993  0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "994  0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "995  0.696113  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "996  0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "997  0.000000  0.483773  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "998  0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "999  0.000000  0.000000  0.000000  0.000000  0.000000  0.0  0.0  \n",
       "\n",
       "[1000 rows x 21 columns]"
      ]
     },
     "execution_count": 295,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = pd.DataFrame(tfidf_matrix.todense())\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics.pairwise import cosine_similarity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![mov](http://blog.christianperone.com/wp-content/uploads/2013/09/cosinesimilarityfq1.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Building a matrix with cosine similarity scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 297,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1.         0.76815261 0.         ... 0.         0.30951647 0.        ]\n",
      " [0.76815261 1.         0.         ... 0.         0.28363342 0.        ]\n",
      " [0.         0.         1.         ... 0.         0.         0.        ]\n",
      " ...\n",
      " [0.         0.         0.         ... 1.         0.         0.        ]\n",
      " [0.30951647 0.28363342 0.         ... 0.         1.         0.28134523]\n",
      " [0.         0.         0.         ... 0.         0.28134523 1.        ]]\n"
     ]
    }
   ],
   "source": [
    "cosine_sim = cosine_similarity(tfidf_matrix, tfidf_matrix)\n",
    "print(cosine_sim)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Build a 1-dimensional array with movie titles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 298,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Title\n",
      "Guardians of the Galaxy    0\n",
      "Prometheus                 1\n",
      "Split                      2\n",
      "Sing                       3\n",
      "Suicide Squad              4\n",
      "The Great Wall             5\n",
      "La La Land                 6\n",
      "Mindhorn                   7\n",
      "The Lost City of Z         8\n",
      "Passengers                 9\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "titles = df1['Title']\n",
    "indices = pd.Series(df.index, index=df1['Title'])\n",
    "print(indices.head(10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Function that get movie recommendations based on the cosine similarity score of movie genres"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "metadata": {},
   "outputs": [],
   "source": [
    "def genre_recommendations(title):\n",
    "    sim_scores = list(enumerate(cosine_sim[indices[title]]))\n",
    "    \n",
    "    # Sorting the recommendation list according to cosine similarity\n",
    "    sim_scores = sorted(sim_scores, key=lambda x: x[1], reverse=True)\n",
    "    \n",
    "    # Printing the top 30 recommendations in desencding order of similarity score\n",
    "    sim_scores = sim_scores[1:30]\n",
    "    \n",
    "    # Indexing with Integer Location and returning the values\n",
    "    movie_indices = [i[0] for i in sim_scores]\n",
    "    return titles.iloc[movie_indices]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Recommendation Based on the cosine simialrity and sorted according to similarity scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12                               Rogue One\n",
       "24            Independence Day: Resurgence\n",
       "32                       X-Men: Apocalypse\n",
       "35              Captain America: Civil War\n",
       "48                        Star Trek Beyond\n",
       "60      Batman v Superman: Dawn of Justice\n",
       "67                      Mad Max: Fury Road\n",
       "80                               Inception\n",
       "85                          Jurassic World\n",
       "94                 Avengers: Age of Ultron\n",
       "126        Transformers: Age of Extinction\n",
       "140                              Star Trek\n",
       "156                            Pacific Rim\n",
       "162             X-Men: Days of Future Past\n",
       "195     Captain America: The First Avenger\n",
       "200                       Edge of Tomorrow\n",
       "203                               Iron Man\n",
       "205                         X: First Class\n",
       "212                           Transformers\n",
       "216    Captain America: The Winter Soldier\n",
       "220                         Hardcore Henry\n",
       "227                              Predators\n",
       "243                     Terminator Genisys\n",
       "253               The Amazing Spider-Man 2\n",
       "256                             Battleship\n",
       "268               X-Men Origins: Wolverine\n",
       "279                         Iron Man Three\n",
       "287                      Jupiter Ascending\n",
       "316                           The 5th Wave\n",
       "Name: Title, dtype: object"
      ]
     },
     "execution_count": 300,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genre_recommendations('Guardians of the Galaxy')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Summary\n",
    "From the above given dataset we built a content based Recommendation system or Personalized recommendation system.First we had to clean the datset as there were some missing values then we had to drop the columns which didn't seem necessary for out Analysis. After that we did some Exploratory Data Analysis on the movie dataset and found some trends and observations from the plots.\n",
    "\n",
    "\n",
    "Then we used the concept of TF-IDF vector to convert our texts into a matrix form and find the cosine similarity so that we can predict the similar movies present in the dataset.\n",
    "At last we were sucessfull in building a very small version of a personalized recommendation system."
   ]
  }
 ],
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