movie.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "767aa5bf",
   "metadata": {},
   "source": [
    "## Importing the necessary modules and libraries for the project. Also importing the dataset. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "38b803a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#importing the libraries needed \n",
    "import pandas as pd \n",
    "import numpy as np \n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.express as px\n",
    "import streamlit as st"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "64a11f9f",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Title</th>\n",
       "      <th>Year</th>\n",
       "      <th>Age</th>\n",
       "      <th>IMDb</th>\n",
       "      <th>Rotten Tomatoes</th>\n",
       "      <th>Netflix</th>\n",
       "      <th>Hulu</th>\n",
       "      <th>Prime Video</th>\n",
       "      <th>Disney+</th>\n",
       "      <th>Type</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Breaking Bad</td>\n",
       "      <td>2008</td>\n",
       "      <td>18+</td>\n",
       "      <td>9.4/10</td>\n",
       "      <td>100/100</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Stranger Things</td>\n",
       "      <td>2016</td>\n",
       "      <td>16+</td>\n",
       "      <td>8.7/10</td>\n",
       "      <td>96/100</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Attack on Titan</td>\n",
       "      <td>2013</td>\n",
       "      <td>18+</td>\n",
       "      <td>9.0/10</td>\n",
       "      <td>95/100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Better Call Saul</td>\n",
       "      <td>2015</td>\n",
       "      <td>18+</td>\n",
       "      <td>8.8/10</td>\n",
       "      <td>94/100</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dark</td>\n",
       "      <td>2017</td>\n",
       "      <td>16+</td>\n",
       "      <td>8.8/10</td>\n",
       "      <td>93/100</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Title  Year  Age    IMDb Rotten Tomatoes  Netflix  Hulu  \\\n",
       "ID                                                                       \n",
       "1       Breaking Bad  2008  18+  9.4/10         100/100        1     0   \n",
       "2    Stranger Things  2016  16+  8.7/10          96/100        1     0   \n",
       "3    Attack on Titan  2013  18+  9.0/10          95/100        1     1   \n",
       "4   Better Call Saul  2015  18+  8.8/10          94/100        1     0   \n",
       "5               Dark  2017  16+  8.8/10          93/100        1     0   \n",
       "\n",
       "    Prime Video  Disney+  Type  \n",
       "ID                              \n",
       "1             0        0     1  \n",
       "2             0        0     1  \n",
       "3             0        0     1  \n",
       "4             0        0     1  \n",
       "5             0        0     1  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#importing the dataset \n",
    "movieRatings = pd.read_csv(\"tv_shows.csv\", index_col= [0])\n",
    "movieRatings.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "528cdfe1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Title              object\n",
       "Year                int64\n",
       "Age                object\n",
       "IMDb               object\n",
       "Rotten Tomatoes    object\n",
       "Netflix             int64\n",
       "Hulu                int64\n",
       "Prime Video         int64\n",
       "Disney+             int64\n",
       "Type                int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movieRatings.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6901711f",
   "metadata": {},
   "source": [
    "## Cleaning the dataset \n",
    "1. First checking the duplicate datas in the dataset \n",
    "2. Checking the null values in the dataset\n",
    "3. Dropping the row containing null values and replacing some null values with 0 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d24d25ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID\n",
       "1       False\n",
       "2       False\n",
       "3       False\n",
       "4       False\n",
       "5       False\n",
       "        ...  \n",
       "5713    False\n",
       "5714    False\n",
       "5715    False\n",
       "5716    False\n",
       "5717    False\n",
       "Length: 5368, dtype: bool"
      ]
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     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#check duplicate values\n",
    "movieRatings.duplicated()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5dd1bc55",
   "metadata": {},
   "outputs": [
    {
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       "      <th>5717</th>\n",
       "      <td>False</td>\n",
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       "      <td>True</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "<p>5368 rows × 10 columns</p>\n",
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      ],
      "text/plain": [
       "      Title   Year    Age   IMDb  Rotten Tomatoes  Netflix   Hulu  \\\n",
       "ID                                                                  \n",
       "1     False  False  False  False            False    False  False   \n",
       "2     False  False  False  False            False    False  False   \n",
       "3     False  False  False  False            False    False  False   \n",
       "4     False  False  False  False            False    False  False   \n",
       "5     False  False  False  False            False    False  False   \n",
       "...     ...    ...    ...    ...              ...      ...    ...   \n",
       "5713  False  False   True   True            False    False  False   \n",
       "5714  False  False   True   True            False    False  False   \n",
       "5715  False  False   True   True            False    False  False   \n",
       "5716  False  False   True   True            False    False  False   \n",
       "5717  False  False   True   True            False    False  False   \n",
       "\n",
       "      Prime Video  Disney+   Type  \n",
       "ID                                 \n",
       "1           False    False  False  \n",
       "2           False    False  False  \n",
       "3           False    False  False  \n",
       "4           False    False  False  \n",
       "5           False    False  False  \n",
       "...           ...      ...    ...  \n",
       "5713        False    False  False  \n",
       "5714        False    False  False  \n",
       "5715        False    False  False  \n",
       "5716        False    False  False  \n",
       "5717        False    False  False  \n",
       "\n",
       "[5368 rows x 10 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movieRatings.isnull()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7d6a109b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#dropping null values \n",
    "movieRatings.dropna(axis=0, how ='any').shape\n",
    "movieRatings.dropna(axis=0, how ='any', inplace = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd96e4c9",
   "metadata": {},
   "source": [
    "## Renaming the column names for easily accessible operations "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "82d24598",
   "metadata": {},
   "outputs": [],
   "source": [
    "movieRatings.rename(columns = {\"Rotten Tomatoes\": \"RottenTomatoes\"}, inplace=True)\n",
    "movieRatings.rename(columns = {\"Prime Video\": \"PrimeVideo\"}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e9b4c63b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       "      <th>1</th>\n",
       "      <td>Breaking Bad</td>\n",
       "      <td>2008</td>\n",
       "      <td>18+</td>\n",
       "      <td>9.4/10</td>\n",
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       "      <td>1</td>\n",
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       "      <th>2</th>\n",
       "      <td>Stranger Things</td>\n",
       "      <td>2016</td>\n",
       "      <td>16+</td>\n",
       "      <td>8.7/10</td>\n",
       "      <td>96/100</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Attack on Titan</td>\n",
       "      <td>2013</td>\n",
       "      <td>18+</td>\n",
       "      <td>9.0/10</td>\n",
       "      <td>95/100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Better Call Saul</td>\n",
       "      <td>2015</td>\n",
       "      <td>18+</td>\n",
       "      <td>8.8/10</td>\n",
       "      <td>94/100</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dark</td>\n",
       "      <td>2017</td>\n",
       "      <td>16+</td>\n",
       "      <td>8.8/10</td>\n",
       "      <td>93/100</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Title  Year  Age    IMDb RottenTomatoes  Netflix  Hulu  \\\n",
       "ID                                                                      \n",
       "1       Breaking Bad  2008  18+  9.4/10        100/100        1     0   \n",
       "2    Stranger Things  2016  16+  8.7/10         96/100        1     0   \n",
       "3    Attack on Titan  2013  18+  9.0/10         95/100        1     1   \n",
       "4   Better Call Saul  2015  18+  8.8/10         94/100        1     0   \n",
       "5               Dark  2017  16+  8.8/10         93/100        1     0   \n",
       "\n",
       "    PrimeVideo  Disney+  Type  \n",
       "ID                             \n",
       "1            0        0     1  \n",
       "2            0        0     1  \n",
       "3            0        0     1  \n",
       "4            0        0     1  \n",
       "5            0        0     1  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movieRatings.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a459e5f",
   "metadata": {},
   "source": [
    "## Converting the data type from object to integer and changing fraction to integer "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0df6de81",
   "metadata": {},
   "outputs": [],
   "source": [
    "# finding the top 10 movies in Rotten Tomatoes Ranking \n",
    "movieRatings['RottenTomatoes'] = movieRatings['RottenTomatoes'].fillna('0/100').apply(lambda x: int((x).split('/')[0]))\n",
    "movieRatings['IMDb'] = movieRatings['IMDb'].fillna('0.0/10').apply(lambda x: float((x).split('/')[0]))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ded3818a",
   "metadata": {
    "scrolled": true
   },
   "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>Title</th>\n",
       "      <th>Year</th>\n",
       "      <th>Age</th>\n",
       "      <th>IMDb</th>\n",
       "      <th>RottenTomatoes</th>\n",
       "      <th>Netflix</th>\n",
       "      <th>Hulu</th>\n",
       "      <th>PrimeVideo</th>\n",
       "      <th>Disney+</th>\n",
       "      <th>Type</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Breaking Bad</td>\n",
       "      <td>2008</td>\n",
       "      <td>18+</td>\n",
       "      <td>9.4</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1960</th>\n",
       "      <td>Rick and Morty</td>\n",
       "      <td>2013</td>\n",
       "      <td>18+</td>\n",
       "      <td>9.2</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Stranger Things</td>\n",
       "      <td>2016</td>\n",
       "      <td>16+</td>\n",
       "      <td>8.7</td>\n",
       "      <td>96</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Attack on Titan</td>\n",
       "      <td>2013</td>\n",
       "      <td>18+</td>\n",
       "      <td>9.0</td>\n",
       "      <td>95</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5376</th>\n",
       "      <td>Loki</td>\n",
       "      <td>2021</td>\n",
       "      <td>16+</td>\n",
       "      <td>8.5</td>\n",
       "      <td>95</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5377</th>\n",
       "      <td>The Mandalorian</td>\n",
       "      <td>2019</td>\n",
       "      <td>16+</td>\n",
       "      <td>8.8</td>\n",
       "      <td>94</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Better Call Saul</td>\n",
       "      <td>2015</td>\n",
       "      <td>18+</td>\n",
       "      <td>8.8</td>\n",
       "      <td>94</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3581</th>\n",
       "      <td>The Boys</td>\n",
       "      <td>2019</td>\n",
       "      <td>18+</td>\n",
       "      <td>8.7</td>\n",
       "      <td>93</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962</th>\n",
       "      <td>Seinfeld</td>\n",
       "      <td>1989</td>\n",
       "      <td>16+</td>\n",
       "      <td>8.8</td>\n",
       "      <td>93</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Peaky Blinders</td>\n",
       "      <td>2013</td>\n",
       "      <td>18+</td>\n",
       "      <td>8.8</td>\n",
       "      <td>93</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Title  Year  Age  IMDb  RottenTomatoes  Netflix  Hulu  \\\n",
       "ID                                                                       \n",
       "1         Breaking Bad  2008  18+   9.4             100        1     0   \n",
       "1960    Rick and Morty  2013  18+   9.2             100        0     1   \n",
       "2      Stranger Things  2016  16+   8.7              96        1     0   \n",
       "3      Attack on Titan  2013  18+   9.0              95        1     1   \n",
       "5376              Loki  2021  16+   8.5              95        0     0   \n",
       "5377   The Mandalorian  2019  16+   8.8              94        0     0   \n",
       "4     Better Call Saul  2015  18+   8.8              94        1     0   \n",
       "3581          The Boys  2019  18+   8.7              93        0     0   \n",
       "1962          Seinfeld  1989  16+   8.8              93        0     1   \n",
       "7       Peaky Blinders  2013  18+   8.8              93        1     0   \n",
       "\n",
       "      PrimeVideo  Disney+  Type  \n",
       "ID                               \n",
       "1              0        0     1  \n",
       "1960           0        0     1  \n",
       "2              0        0     1  \n",
       "3              0        0     1  \n",
       "5376           0        1     1  \n",
       "5377           0        1     1  \n",
       "4              0        0     1  \n",
       "3581           1        0     1  \n",
       "1962           0        0     1  \n",
       "7              0        0     1  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movieRatings.sort_values(by= \"RottenTomatoes\", ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86c4b618",
   "metadata": {},
   "source": [
    "### Pie Chart Showing Shows Around Different OTT Pltaforms "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "10b2c361",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "netflix = movieRatings['Netflix'].sum()\n",
    "hulu = movieRatings['Hulu'].sum()\n",
    "disney = movieRatings['Disney+'].sum()\n",
    "prime = movieRatings['PrimeVideo'].sum()\n",
    "labels = ['Netflix', 'Hulu', 'Disney+', 'Prime Video']\n",
    "values = [netflix, hulu, disney, prime]\n",
    "plt.pie(values, labels = labels);\n",
    "plt.legend(title=\"Users Around Different OTT Pltafroms\");\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d54e063e",
   "metadata": {},
   "source": [
    "The pie chart formed shows that the highest number of shows are available on Netflix, followed by Hulu and Prime Video.\n",
    "Disney+ has comparatively less number of shows among the OTT Pltaforms. This shows why Netflix is popular among all the OTT \n",
    "Pltaforms. Disney+ might have less number of shows due to its late coming in the market. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81dbe868",
   "metadata": {},
   "source": [
    "# Analysis of Data Related to Age "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1c4abc83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['18+', '16+', '7+', 'all', '13+'], dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year = movieRatings['Age'].unique()\n",
    "year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d36429bc",
   "metadata": {},
   "outputs": [],
   "source": [
    "#removing + from age column to change the datatype to integer \n",
    "\n",
    "movieRatings['Age'] = movieRatings['Age'].replace(['18+', '16+', '7+', '13+', 'all'],['18', '16', '7', '13', '1'])\n",
    "movieRatings[\"Age\"] = pd.to_numeric(movieRatings[\"Age\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e64bdcaf",
   "metadata": {},
   "source": [
    "## Bar Graph Showing Age wise Show Distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b24fe746",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='Age', data=movieRatings);\n",
    "plt.title('Bar Graph Showing Age wise Show Distribution');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "801c34e2",
   "metadata": {},
   "source": [
    "This shows the graph plot showing the count of shows in the dataset according to the agewise censorship. Most of the TV Shows \n",
    "were for mature audience who were above 16 years of age, Least number of shows were for audiences who were just starting their\n",
    "teenage. I think more shows regarding the changes they might face in their older years must be built on to provide them \n",
    "knowledge on how to deal with the problems they might face in the future. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e37bb0f",
   "metadata": {},
   "source": [
    "# Scatter Plot of Age vs Year "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "81f51f8f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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MfBf4uIhsAD5unwNcCkwHvhWzfV99xleAnwIbcaaV9LRyGyAUCLqWQQYDQa93pT6g3qi41ln0Rj1vUa2Uq/xwiOf+uZ0fn3sEt3xmDj8+9wie++d28nP86brW3B7lmfU2PWc76Xlm/Xaa2qOpXzxEI9ka6kXc6xsA5rlsfyNwY5L3WgnM8i51A2mdRfbQOgvlv2h/7ja2RR7i3cV5OPa2dTNnckVcei4/YQZ727o924eODWVVFuf2Z+H65OUEtM4iA/WVz8bys7xYjUUB19wtxp9LanlBDrc+uyEuPbc+u4HyghzP9qHBwmpLUgbZ1uVPGaRKLtmxatdjlbGiUcOmXa2seHM3m3a1Eo1md/3SzuZOygvCXPKx6Vx6gvNXXhD2LXe7p63LNbe9t63Ls33o2FBWcW4Ot7+6gZvOmE17Vw/54RBL/rKJaz5xsN9JUwmKckM84nas5h/kd9KUi2jU8PS6HVy5dHV/EcnNZ81hfn0NgUB21jNNKs/jvA9P5ZY/buj/TFfMm8HEUn/GJhtfGHZtDTWuIOzZPjRYWEGBeQfVxPWAvGLeDELZeS6PaqFAgJPqa+OO1ZUfn0koqBnlTLS5McL3nl7PhcdM62+W/r2n13NgTTHTKov8Tdz71BOlP1CAcxd/yx838KELj/IlPeFQgP/4xIHsjnQRNc71rKIwTG6Od78JDRbW2/s6WLJiS/8JbQwsWbGFSeUFzJnqd+pUrJ0tneQGA1x03DSiBgICucEAO1u1gjsTNUY6+czcKf1l6n2Vr42RzqwNFg3NHa7FPg3NHb6kZ3tTJ+3dUe5avqn/O/7aiTPZ0dTJoZNSv34oNFhY1SW57G3r4o7nNvYvy8sJUF2ilaaZpqwgh8sf/NuALPeSC470MVUqGUFcK19/7tNduBf6GsQknoN+NYgpL8jhimfeiPuOf/DMG57+JjTfbnX39rI4oVPL4gX1dPdqp7xMsyfiXpm3J+JdZZ7yzp6Ie1PnbD5eLZ3dXH7CjLjrxeUnzKC107umqsOxN0kF9z6t4PZeTjDIqs27ufvzH6KxtZOKolwefXUr+43XMqhMMy5ZZV6hd5V5yjvVJfmuxyubc+3FuTk8tHJrXLH1Qyu38j9nzPYlPeUF7r+JMg8ruDVn0S/K3LrxXHDvX7nsgdVccO9fmVs33rdONiq55g73u7qWDn/u6tTg6mtLuHHhrLjjdePCWdTXlvqcsvcvJ2i4JGZ4oJ+9uIlLjp9OOOhPk+B0DD+iOYt+7p1stBw885TkZdZdnRpcKBRg4eyJzKgqYkdTBzWledTXlhIKZe+9anevcMfzG+POwTue3+jbOZgfDnHn8nVx6blzubfp0WBh7W51Otl8+vBJ/c37Hlm1jd3awibjRLp6uPi46Sx+Yt17E72cUk9EO+VlrFAowOzJ5cye7HdKvNHQ3ElXz3u5CBHo6jG+zZS3u7WTLY3tcQ10ABo9vH5psLAmluUn6WST73fSVIKisHunvKu1U55Kk0llSTrllfnUKa/IvXVWRVEWDFGebbp7oq6dbLp7tc4i0+SFApx+xBSuengNVz/yGlc9vIbTj5hCXhYXa6jsYnDvlOeXyqIgNyyIrxe6YcEsKou8GzVbcxZWQ5JRZxt0JNOM825zJ0EM3z9jNpGuHgrDIdo6u3m3uZND/E6cGhO2N7l3ytve5E+nvM17OhlfnMNd5x7B3rZuygty6IlG2bynk/0qvdmH3opZOups9igvyGHpqreJAhjnLm/pqrc9HWFTqcFk2vWiMBziwVe2YHAqtwEefGULhWHv8gOas7Bau5zmmIlDEkS6tDlmpunu7eH0w6fEjQ216JR6unu1glulR3u301Q1sZGFXzPl9fT2Mi9hfo3FC+rp8bBTseYsrKLwe80xLz1hOhceM42HVm6lMKx3q5kmJxjq/5GCk/1f/MQ6coJ676PSIz8nxJ3LN8ZdL+5cvtG3mfJCQfeZPkNBrbPw3L62btfBzva1a84i0zQkmynPp2aLauxpjLg3Vd0T8eccTPab8LIprwYLq7zAvaPX97WjV8apLXVvJliTxcNHqOxSmaypaqE/52B1iXt6vBxSRYuhrLycIBd/NL77/sUfnU5ejnfZOOWNUMBp0x7bTPCKeTN0PosM1tMTZc3be3l67XbWvL2Pnp7sbpKeE3Q/B8M+Nd8uzgvy7dPim85++7RZFOdpMZTntjd1uDbH3N7coc0xM8zbe9uTzz0ypdzv5KkEPT1RHl3zDtc+ura/iPfGhbNYOHti1g75sb3Zff6baZWF+FEW0RjpIi8nfo6XvJwAjR6O7KvBwioryOE7T77OKYdO7B/u4/E17+h4QxlI5x7JLuu2N/UHCnDK0q99dC0zqoqYPTk7g/u4gjDhmGk0RSAcEso9HOV1OMLBIN98eNWIzvGiwcJq6XCv4PZrfHqVXE/UmXukr/VHXzPB3qjOPZKJknVg29HUkbVjRWXa+GQ7k3Qq3ulhp+LszAOOgOK8HNfZvIpytelspgkFgmzYsY97v3Akt50zh/u+cCQbduwjGND6pUxUW5rv2oGtptSfcZS8UBh2b77tZSe44ahK0kmwysNOghosrH1pmGlKeUSizKwp4/P3vMJlD6zm/HteYWZNGaJzj2Sk0TifRaZdLwxRbkiY6fOGBfWAd78JLYayytIw05TyiNG5R7LJaJzPItOuF0JgxOfX0GBh7W1zH+5jX5vWWWQa7ZSXfUbbfBb7kl0vfOrEu7PZvZOgl3UWGiysyqIw//XkwE55N585x++kqQQ1aeiApNRgMq0Tb21ZXpKOqt7VC2mwsAS48CP7sTvSRdRAKOA8D0jKl6o0ywsF+O6nD2HT7ghRA0GB/cYX6nwWKm3yw0Eu/dgMvvXYe31Hvn3aLPLD/jSyCABXzJsxYDKmoIfXLw0W1s7WLtq7o9y1fFP/l/21E2eyq1UruDNNa3c3Pb0m7ljdeNosIt1aZKjSo6m9i3BI4jrBhUNCc7s/14tt+9w7CU4uL+Cwqd7sQ4OFVV6QwxXPvBFXafqDZ97QStMMFJQg1z6W0MnrsbV6rDJYNGrY3BihobmD6pI86ioKCWRxtj0nGOTqR14b0U5ww5Gso2qVjg3lvcaIe6WpX6NIquS0gju7RKOGp9ft4ORb/8Q5P3mZk2/9E0+v20E0avxO2vu2K0knuF2t/pyDBqejamzT2cUL6jHofBaeqyh079QyzqdRJFVyfSNsxvL6Lkp5Z3NjhCuXro7LCV65dDWbGyM+p+z9SzpTXpE/56AQ5IfPx8+v8cPnNyJ4V4eiwcJq73JmvoqNzItOqafdp+77Kjljel2PlTE63Ecmamh2H+5jZ4s/81V7obXTaTobew76OTxQY+t7TWdvf3Yjdzy3kS2N7TR6WDKidRZWfjjEI69u4KYzZtPe1UN+OMSSv2ziqvkH+Z00lUAkyCOvbtVjlSWqS9ybdVYVZ+9wH0W57k1n/Rp4tCIN82tosLAiXT1ccMw0olHAtm644JhptGnOIuPsbevmhANr4ubgvvyEGezVDpQZqa6ikJvPmtNfFJWXE+Dms+ZQV1Hod9Let73JZtb06Rxs7nDvJNjS4V16NFhYNcW5vPZOc/8wEn1jq9RVFPidNJVAO1BmH7dmptlsXEEO/5VBnfLGFYRdczpe/iZGLFiIyGRgCVCDM5rVXcaYW0RkHPAQUAdsBs4yxuy1r/l34EKgF7jcGPM7u/wI4F4gH3gSuMIY42lTipbO3rixVcD7sVWUNwQ4+0NTBnRAyuKWmKPa5sYI337ivblioga+/cTrTBtfxLTKIr+T977k5QS4+KPTWfx4zBDlp9YPqPROl9ycgOtvIi/sXXpGMmfRA3zdGPOqiBQDq0TkD8DngT8aY74rItcA1wBXi8jBwNlAPTABeEZEZhqn1vJHwEXASzjBYj7wlJeJzbRspUrunWQdkMYVcJjfiVMDNEY6XX9beyKdWRssNje288DLW+LqzX66/E2+dNz+HDIp/RM6vbvX/TcxvbKI+gne7GPEwqAxZrsx5lX7uAVYD0wETgPus5vdByy0j08DHjTGdBpj3gI2AkeKSC1QYoxZYXMTS2Je45nyAvf5LMoKdD6LTFNVksvZR9Ry3IzxHFBdxEdnjufsI2o9HbtfeSccDLj+tnKyeM706pJcmjq6+eeOFt7e284bDS00dXT7Nj5ZWUEOh0ws4sj9ypleWcRR+5VzyMQiT69faamzEJE64DDgZaDaGLMdnIAiIlV2s4k4OYc+2+yybvs4cbnbfi7CyYEwZcqUYaVRO+Vlj4rCILXlRZx/zytx9UsVhTr5USZq6+p1/W21dWVvU+dgwHDJ8dMH1HEGA/50NBSJcuJBtXz5/lVx6fFyjpcRD+0iUgQ8AnzVGNM82KYuy8wgywcuNOYuY8xcY8zcysrKYaVTO+Vlj8ZIr+t8Fo2R7L34jGZ9TWdjOaMEZ2/T2d6ouJ6DvVF/Ks6iSeZ4iRrvLvEjGixEJAcnUPzCGPNru7jBFi1h/++0y7cBsaPdTwLetcsnuSz3VGdPj+tMU1092nQ20yQb7qNBh/vISH1NZ2N/W9nedHZncyflBWEu+dh0Lj3B+SsvCHs6f8RwpGMInJFsDSXAz4D1xpibY1YtA84Hvmv/Pxaz/JcicjNOBfcM4BVjTK+ItIjI0TjFWOcBt3md3vHFueyNdMc178vLCVDhU/d9lVxtqXsHpBod7iMjBQLC/PoaDrz8WHa2dFBVnP0DCU4sy+O8D08d0Ppook/ziqdjjpeRrLP4CHAu8JqIrLbL/gMnSCwVkQuBrcCZAMaYdSKyFHgdpyXVJea98Ru+wntNZ5/C45ZQAC3tvVyVQaNIquRyQwHXsfv9araohs7bBu/+iUL/+QfOXfwtf9zAkV88ypf0HFJbyk2nH8rGXa39c7zsX1nEIR7Ocz5iwcIY8yLu9Q0A85K85jvAd1yWrwRmeZe6gXa3umfjdvs0iqRK7u297a7NBOsqCnxptqgG1zfqbGIP7vn1NVmbu9je5D7e1Y4mf8a7CoeDBAMSN8fL/545m7CHkzHprZg1vsi9gnu8FkNlnPFFuUwsy+WAmmIml+VzYE0xE8tytcgwQ43GUWerko0661Pz7c2NEb7+qzVx3/HXf7XG0+9Yg4XV1O4+imSTTxOwq+S6e3s5c+4Urnp4DVf/+jW++fAazpw7he5ebQ2ViUbjqLOdPe6jVHf61CAmHd+xjg1lleZn1iiSKrmcYJBFCc0EFy1bp/VLGWo0jjqbGwpx5/J1cdeLO5f7NzxQOr5jDRZWd28v/3b89P6LUN9MU3q3mnl2Jmsm6FOzRTW40TjqbFN7V//8EfHL/SmJSMd3rMHCygkG+dVKnSMhG1QlaSaow31kptHYdLY0P+x6Dpbm+zM8UDq+Yw0W1r62LlZuaWLllr8NWK4ySyhouOmMQ9m4M6aZYFURoeAoaZc5CgUCwrTK7B1lNlFfHWfi4IiZUMc5Us2TNVhY1ck6tejdasYpyQ3R1dMe10zwxoWzKM7V01mlR0VhmBtHeP6I4UhH82T9dVm9UfiPTxzI7khX/91qRWGYXr1ZzTh72nq59tG1cRXc1z66Viu4Vdrk5wT46okzeWt3hKiBUAC+euJMCjycP2I4kjVPPvDyYz3LzWmwsHZHumjvjsbdrX7txJk0RrQYKtPo2FDKb7sjnXT3xF8vblhQT6NPo1Qnazrb0NzhWbDQfhZWWX4OP3jmjbjI/INn3vCtwkolV12Sy9SK/LhB3KZW5Ps2l4Aae/JCIddRXnND/tx/F4RDrp0ECzzswa05C2tPpMs1Mu/VnEXGyQ3hOpeAVlmodNnX1u16vfBrZs2u3l7XCvfu3iyazyJbjCsMu0bm8sKwTylSyXT24HpX16mjyas0KS3Icb1elPo0s2ZFYS6r327kx+cewS2fmcOPzz2C1W83ejofjwYLq7nDfbiP5g7/m8KpeJ097jOvdfZoB0qVHpk2PNCk0nxOPHgCX75/FVc8tJov37+KEw+ewKTSfM/2oRl3qyRPh/vIFrmhoGsz59yQTquq0iPThgda39DMdY/FtxC87rG1HFBdxOzJ3ozErMHCinT1cPFHp7P48ffKwRedWk+kS8s2Ms3eNvcOUXt9Ki9WY09rZzefmTtlwDkY6fTnHBxsyPTZk5O8aJg0WFjj8sPsau7g+2fMJtLVQ2E4RFtXN+X5WmeRacoLMuuuTo09FYV5PLTy9QHn4K2fOcyX9NSW5ieZPVIHEvRcd2+U65a9PuDL/rl29Mo4E8pzXVtDTSjXprMqPcoKQq6d8soK/angLisIcftnDyMcDLAn0s24why6eqOepkeDhdXQkqSjl45kmnH2tHYzpSKP+75wZP+gaYZe9rR2M6nM79SpsWBPpMu1U96eSBdTK9Kfnqb2bhpbuwaMml1d7F2xmLaGsiqL3Tt6+TXzlUquozvK3S++RUdPL71Rp3XU3S++NSDYKzVSenqNa/PtHp/GB+q0c7okzvHi5W9CcxZWe3cPFx83ncVPxFRwn1JPe7dWcGeart5e5h1Uy5fvX6Vzjyhf7ExSEuHXnCrpSI8GCys/J8TiJ16Ni8yLn9DZ1zJROBjkh89v7K9cBPjh8/7NUqbGnpqSPOZOLeW8f5lGe2cPBbkh7vvLJqo9rFAejipbMnLKoRP7fxOPr3nH0zleNFhYLR3u3fdbtFNexmlqd2+2mAlzCaix4eDqYs6aO5WrHl4TU2cxi/rqYl/Sk5sTcJ3pMzfHu5oGrbOwivPcu+8X5+lAgpmmND+nP1CAE9RvfXaDDvqo0uaN3a1ctyyhE9yytbyxu9WX9BiDa52FlxMhabCw+jp6JXbf145emWd3q3v5bGOrtlxT6TFYJzg/tHW5D4HT1uVdPZ4WQ1njC8P8l0tHr//1aeYrlVx1cZ5rB6TKYn/Ki9XYk7QTXKk/52B1iftvwss6FM1ZWKGgcNkJ0zmoppjJZfkcVFvMZSdMJyeYvZPKj1bBgHDFvPhc4BXzZhDycHJ6pQZTX1vCjQtnxZ2DNy6cRX1tqS/pqaso5Oaz5sSl5+az5lBXUejZPjRnYbV2dtMbhW/EVFgtXlDv21gvKrm397azZMWWuFzgkhVbmFxewJwp3gyaptRgQqEAC2dPZEZVETuaOqgpzaO+tpRQyJ/770BAmF9fw4GXH9vfUbWuotCz+bdBg0W/nGDQtYJIm85mnuqSXPa2dXHHcxv7l+XlBKjSmfJUGoVCAWZPLvdsoL4PKhAQplUWeTaN6oD3H5F3zUI7k8zr7FcnG5VcOGi4YUF9XJb7hgX1hIP+9J5VaizQnIVVVZLrWkHkZacW5Y3uXuGOmE55xsAdz2/k+9opT6kRo8HCippeblhQP2AkU2N0CIlM0xjpYktje1wxVN9ypcaqnp4o67Y3sb2pg9rSfOprSzytQ9FgYVUUhmlq64mbzyIniM7BnYGSNVus9WmoBaX81tMT5dE173Dto2v7b3ZvXDiLhbMnehYwNFhYe9t6ueKhNQMuQFrBnXnKCkJ87/RDeHOXM5dAUGBaZaFvcwko5bd125v6AwU49a3XPrqWGVU6rarnGpJUcDc0awV3pmnt7KGrx8TNJfDt02bR2qkjBKuxSadVTaPqJBXc1docM+NEOnu5/bkNcaPO3v7cBh11VqXVSNcRDEdtab7rqLNe9ijXYGEdUlPCDQtm9Q8O1jeK5CE1JX4nTSXY2+Y+6uw+HcdLpUk66giG46DqYi752Ayueyzm+nXaLA6q9u76NeinEpGAiKx9P28sIneLyM7Y14vIbBFZISKvicjjIlJil+eIyH12+XoR+feY1xxhl28UkVtFZETGdMjPz+GTs6pYcsGR3HbOYSy54Eg+OauKfB3JNOOUF7iPOltWoMdKpUeyOoJ125t8Sc+2pvb+QNGXnuseW8u2pnbP9jFosDDGRIE1IjLlfbz3vcD8hGU/Ba4xxhwC/Ab4pl1+JpBrlx8BfFlE6uy6HwEXATPsX+J7eqKnJ8pTr+/kvLtf4bIH/sZ5d7/CU6/vpKdHp+rMNPvaulzLZ/e1adNZlR6ZNupsQ7N7ehqavUvPUPJLtcA6EfmjiCzr+0v1ImPMcmBPwuIDgOX28R+A0/s2BwpFJATkA11As4jUAiXGmBXGGAMsARYOIc3Dlml3Ciq5soKw69wjZQXazFmlR1/z7Vh+jjpbEA65pqcgHPRsH0Ops1js2d5gLbAAeAwnN9FXT/8wcBqwHSgAvmaM2SMic4FtMa/fBkxM9uYichFOLoQpU4aXGdre1MHMqiK+eNz+/dMk/mT5m562JlDe2NfuzD2iM+Upv/SNOptYZ+HXqLNdvb2uv4nuXu9KRlIGC2PMC57tDS4AbhWR64BlODkIgCOBXmACUA78SUSeAdzqJ5IOAGSMuQu4C2Du3LnDGihoakU+5xwVP03iolPrmVKRP5y3UWkwvjDMd1zmHrn5rDl+J02NEZk26mxFYS4Pufwm5s+q8WwfKYOFiBwN3AYcBISBIBAxxgy7mt0Y8w/gJPu+M4FP2lWfBZ42xnQDO0Xkz8Bc4E/ApJi3mAS8O9z9DkVnt2Hx4/Gjzi5+fB0Pfunokdid+gDK8nM4+0NTuOWP791FXTFvBuXaGEGlUSaNOltXUcjV8w/iyqWr+38TfsxncTtwNvArnAv4eTgVzcMmIlXGmJ0iEgCuBe60q7YCJ4jIz3GKoY4G/s8Ys11EWmzAetnu+7b3s+9UdiSpINrhYQWR8saO5k7X+SzmTC5jWlWx38lTKu0yZj4LY8xGEQkaZ1S9e0TkL6leIyIPAMcD40VkG7AIKBKRS+wmvwbusY/vsI/X4hQ93WOM+btd9xWcllX5wFP2z3OVRe6d8sYXaae8TJMbCrjOZ5ET1BH31dg10vNZDCVYtIlIGFgtIjfhVEKnzNsYY85JsuoWl21bcSq83d5nJTBrCOn8QAIBWHRKPYufeG/U2UWn1ONTEaQaRI/pYfGC+v7JqvpmNezVEYKVGjFDCRbn4jSxvRT4Gk4LptMHfUUWKs0P89w/t/Pjc49gX6SbssIcfvHSWxw1rd7vpKkEQpAfJsxn8cPnN+pwH0qNoKG0htoiIvlArTHGy2a0GWVKeQEn1U/gy/evimsKN6W8wO+kqQS7Wjpd57PYpbMaKjViUhayiMipwGrgaft8zlA65WWbrXvbXDvlbd3b5nPKVKKq4lzXDkg6q6FSI2coJfLX4/SD2AdgjFkN1I1UgvySrLv8zhZtDZVpQkFh0Snxc3AvOqWeUHBEhg1TylU0ati0q5UVb+5m065WotHRPQf8UOoseowxTSM0fl/GGJ+kNVRFod6tZprS/DCPvLqVm86YTXtXD/nhEEv+sombzpjjd9LUGBGNGp5et2NAv4b59TWeNlfNJElzFiLypIjsB6wVkc8CQRGZISK3ASmbzmabSGcPV8ybEXe3esW8GUR0Qp2MU1dRyGXzZjgnr4GAwGXzZnjaAUmpwWxujPQHCnBKIa5cuprNjRGfUzZyBstZ3Av8Drgfp+lqJ/BLu+zbI56yNNu2r921o9eUcQXMmeLNtITKG9GoYVdL14BxeaJRM2rv6lRmGazYeqT6OfgtabAwxiwVkd8C1+EMC34/743LdAlw88gnL31qS/JcO3pVl/gziqRKbt32Jm57Nn6mvNue3eDpfMNKDaa6JM91Zrqq4tF7vUhVZ9ENRIBcoIhBBvHLdvVJZsqbpTPlZZzGSKfrTHmNEW06q9JjSnkBl50wY0DudjQ3tU8aLERkPk7uYRlwuDFmVLchfbelg6UrtwyoNJ1bV860vNGZrcxWxbnuM+Xdf8GRPqdMjRXJmtofPqV87BVDAf8JnGmMWZeuxPipobmDlVuaWLnlb3HLR3MZZLba19adZKY8nc9CpYfWWcQwxhybzoT4rao4z7XpbGXR6C2DzFZVJe7HSjvlqXSpTnoOjt7rhQ6TZwUDcOXHZ8Y1nb3y4zPRgUwzT1lBiEWnJnTKO7WeskKdz0KlR11FITefNSfuHPR6/ohMM6QhyseCXa2d5AYDXHTcNKK27X5uMMDu1k7qxo/ObGW22tnSSRDD98+YTaSrh8JwiLbObna1dDK1Qo+VSo9wSOKuF+HQ6G62rcHCCgcD/PfT/xiQrXzoIp0pL9OEgwGue/x1PVbKN5sbI1z6y78NOAefvPzYUVtnoYUsVltXr2uFVVuXzpGQaSKdeqyUv8biWHIaLKy+CqtY2ikvMxXmhlyPVUE46FOK1FiT7HqhFdxjwKTSfG44bVZchdUNp81iUmm+zylTibp6e7n8hPhxvC4/YQbdvdEUr1TKG1PKC7hxYfz1Ysx2yhtr1jc0c8dzG+LGhrrjuQ0cUK1DSGSaisJcHlq5Ne5YPbRyK/Nn1fidNDVGbN3bFjfkjDHOkDNjtVPemLK9qYPSvBwOqCmmvbOHgtwQf3ojhx1NHcye7HfqVKy6ikKunn/QgOGhR3OzRZVZGpo7XGdrHJOd8saaqRX5nHPUVK56eE3/BWjRqfVMqdBiqEwTCAjz62s48PJj2dnSQVVxHnUVhTrirEob7ZQ3hnV2G+58YSMXHjONS0+YzhePncadL2yks3vUjp2Y1Xp6ouyJdLG7tYu9kS56erS+QqWPdsobw/a1u49kuq+9y++kqQRdXb08+vd3ue6xmBGCT5vFwkMnENYWUSoNxmLuVoOFVRjWkUyzxd/fbYprjABOY4Rp4wuZWzfO38SpMSMQEKZVFo3aOopEGiysvW1drp1s9upIphmnqb3LNRfY1KG5QKVGitZZWNUl+Uk65elIppmmOM89F1icqwMJKjVSNFhY9bUlrp1s6mtLfU6ZSrQn4p4L3BPRnIVSI0WLoaxQKMDC2ROZUVXEjqYOakrzqK8tJRTSeJppxhWGXZstjisM+5gqpUY3vRLGCASE4rwcSvJzKM7LGdUtG7JZa0e363AfrZ1av6TUSNGchRWNGp5et2NAr+D59TUaNDJMRVEeD618fcBwH7eefZjfSVNq1NJgYW1ujPC9p9fHNcf83tPrObCmeMw0jcsW9bUlXHbCDK599L1+Flq/pNItGjVsbozQ0NxBdYn2sxgzGiPunfL2RDo1WGQYrV9SfhuLJRH667LCwYBrc8wcnYQ7ozmDsYzOH6fKXJsbI/2BApzrxZVLV7O5MeJzykaO5iwsnX0te/T0RHl0zTsDiqEWzp6ouQuVFoPNlDdaSyL0l2Xp7GvZY932pv5AAc6P9NpH17Jue5PPKVNjhc6UN4bp7GvZY3uT+13djqbRO/+xyiw66uwYNi4/7Dr72kkHV/udNJWgtjTftVNeTenovatTmWUsjjo7YjkLEblbRHaKyNqYZbNFZIWIvCYij4tIScy6Q+26dXZ9nl1+hH2+UURuFZERORrtPb186dhp9NVnhwLwpWOn0dGjdRaZRodmUZmgb9TZo6eNZ1pl0agOFDCyOYt7gduBJTHLfgp8wxjzgohcAHwT+JaIhICfA+caY9aISAXQ1x33R8BFwEvAk8B84CmvE7u3rZNQIMBdyzf1V5pef2o9+9o6vd6V+oACAaGyOMz3z5hNpKuHwnCI4vzgqP+xKuWnEQsWxpjlIlKXsPgAYLl9/Afgd8C3gJOAvxtj1tjXNgKISC1QYoxZYZ8vARYyAsEiLxTiRy+si+uU96MXNvL9M2Z7vSv1AW1ujPDl+18dUAz15OXHjtqWKEr5Ld11FmuBBcBjwJnAZLt8JmBE5HdAJfCgMeYmYCKwLeb12+wyVyJyEU4uhClTpgwrYS2d3a6d8lp0vKGMk6zZYkPz6G22qJTf0t0a6gLgEhFZBRQDfWNKh4BjgM/Z/58SkXm497ZKOim2MeYuY8xcY8zcysrKYSWsJC/s2imvJE9HMs00BWFt5qz8F40aNu1qZcWbu9m0q5VoNOmlaVRIa87CGPMPnCInRGQm8Em7ahvwgjFmt133JHA4Tj3GpJi3mAS8OxJp6+qJut6tatPZzNPXzDkxF6jHSqWLDvcxwkSkyv4PANcCd9pVvwMOFZECW9n9UeB1Y8x2oEVEjratoM7DKcLyXE2peyeb6hJtjplpKgpz+5s5X3rCdC48ZhoPrdzKuEKd1VClhw734SEReQA4HhgvItuARUCRiFxiN/k1cA+AMWaviNwM/BWnmOlJY8xv7XZfwWlZlY9Tse155TY4nWxu/+xh/H1bE1EDQYFDJpWO6k422aquopCr5x804K5Oj5VKl7E43MdItoY6J8mqW5Js/3OcYqfE5SuBWR4mLamuHhPXdPbms+akY7dqmMZihyiVWaqK81w7hlYWjd6SCB3uwxqL2cpsNtY6RKnMEgzAFfPihwe6Yt4MRvMg1TrchzUWs5VKqfdne1MHS1ZsiRseaMmKLRw2pYy68aPzeqHBwqouyWPu1FLO+5dptHf2UJAb4r6/bBrVo0gqpd6f6pI89rZ1ccdzG/uXjfZRZzVYWBOK8zhr7lSuenhNf53FDQtmMWEUH3yl1PszpbyAGxfOGjCnypTyAr+TNmI0WFhrdzRz3bL4ORKuW7aWaZWFzK0b53PqlFKZZOveNm57dkNcMdRtz27g8Cnlo7bYWoOFNdgQEkopFauhuYMtje1xxVDAqK7jHMV198NTVZybZOYr7eillIqnM+WNYaGgsOiU+rimcItOqScU1CaZSql4OlPeGFaaH+aRV7dy0xmzae/qIT8cYslfNnHTGXP8TppSKsOMxY6hGiysuopCLjhmfx1CQik1JH0dQ0drHUUiDRYxwiHhouOmETUQEOe5UkopDRb9NjdGuPSXf9PZ15RSyoVWcFvadFYppZLTYGHp7GtKKZWcBgurb/a12KZwOvuaUko5tM7Cip19ra/7/kMrtzJ/Vo3fSVNKKd9psLB09jWllEpOg4U1FjvZKKXUUGmwiDHWOtkopdRQaQW3UkqplDRYKKWUSkmDhVJKqZQ0WCillEpJg4VSSqmUNFgopZRKSYOFUkqplDRYKKWUSkmDhVJKqZQ0WCillEpJg4VSSqmUNFgopZRKSYOFUkqplDRYKKWUSkmDhVJKqZQ0WCillEpJg4VSSqmURixYiMjdIrJTRNbGLJstIitE5DUReVxEShJeM0VEWkXkGzHLjrDbbxSRW0VE5zlVSqk0G8mcxb3A/IRlPwWuMcYcAvwG+GbC+h8ATyUs+xFwETDD/iW+p1JKqRE2YsHCGLMc2JOw+ABguX38B+D0vhUishDYBKyLWVYLlBhjVhhjDLAEWDhSaVZKKeUu3XUWa4EF9vGZwGQAESkErgYWJ2w/EdgW83ybXeZKRC4SkZUisnLXrl2eJVoppca6dAeLC4BLRGQVUAx02eWLgR8YY1oTtnernzDJ3twYc5cxZq4xZm5lZaUnCVZKKQWhdO7MGPMP4CQAEZkJfNKuOgo4Q0RuAsqAqIh0AI8Ak2LeYhLwbtoSrJRSCkhzsBCRKmPMThEJANcCdwIYY46N2eZ6oNUYc7t93iIiRwMvA+cBt6UzzUoppUa26ewDwArgABHZJiIXAueIyBvAP3ByCPcM4a2+gtOKaiPwJgNbSymllBph4jQyGn3mzp1rVq5c6XcylFIqq4jIKmPM3MTl2oNbKaVUShoslFJKpaTBQimlVEoaLJRSSqWkwUIppVRKae1nkemiUcPmxggNzR1Ul+RRV1FIIKCD3CqllAYLKxo1PL1uB1cuXU1Hd5S8nAA3nzWH+fU1GjCUUmOeFkNZmxsj/YECoKM7ypVLV7O5MeJzypRSyn8aLKyG5o7+QNGnozvKzpYOn1KklFKZQ4OFVV2SR15O/NeRlxOgqjjPpxQppVTm0GBh1VUUcvNZc/oDRl+dRV1Foc8pU0op/2kFtxUICPPrazjw8mPZ2dJBVbG2hlJKqT4aLGIEAsK0yiKmVRb5nRSllMooWgyllFIqJQ0WSimlUtJgoZRSKiUNFkoppVLSYKGUUiqlUTutqojsArb4nY4hGA/s9jsRw5Rtac629IKmOV2yLc3pSO9UY0xl4sJRGyyyhYisdJvvNpNlW5qzLb2gaU6XbEuzn+nVYiillFIpabBQSimVkgYL/93ldwLeh2xLc7alFzTN6ZJtafYtvVpnoZRSKiXNWSillEpJg4VSSqmUNFikgYhMFpHnRGS9iKwTkStctjleRJpEZLX9u86PtMakZ7OIvGbTstJlvYjIrSKyUUT+LiKH+5HOmPQcEPPdrRaRZhH5asI2vn/HInK3iOwUkbUxy8aJyB9EZIP9X57ktfNF5J/2O7/G5zT/j4j8wx7734hIWZLXDnoepTnN14vIOzHH/+Qkr03795wkvQ/FpHWziKxO8tr0fMfGGP0b4T+gFjjcPi4G3gAOTtjmeOAJv9Mak57NwPhB1p8MPAUIcDTwst9pjklbENiB07koo75j4DjgcGBtzLKbgGvs42uA7yX5TG8C04AwsCbxHEpzmk8CQvbx99zSPJTzKM1pvh74xhDOnbR/z27pTVj/v8B1fn7HmrNIA2PMdmPMq/ZxC7AemOhvqj6w04AlxvESUCYitX4nypoHvGmMybge/MaY5cCehMWnAffZx/cBC11eeiSw0RizyRjTBTxoXzfi3NJsjPm9MabHPn0JmJSOtAxVku95KHz5ngdLr4gIcBbwwEinYzAaLNJMROqAw4CXXVZ/WETWiMhTIlKf3pQNYIDfi8gqEbnIZf1E4O2Y59vInAB4Nsl/WJn0HfepNsZsB+fGAqhy2SaTv+8LcHKZblKdR+l2qS06uztJcV8mfs/HAg3GmA1J1qflO9ZgkUYiUgQ8AnzVGNOcsPpVnGKT2cBtwKNpTl6ijxhjDgc+AVwiIsclrHebb9b3dtgiEgYWAL9yWZ1p3/FwZOr3/Z9AD/CLJJukOo/S6UfA/sAcYDtO0U6iTPyez2HwXEVavmMNFmkiIjk4geIXxphfJ643xjQbY1rt4yeBHBEZn+ZkxqbnXft/J/AbnOx5rG3A5Jjnk4B305O6QX0CeNUY05C4ItO+4xgNfUV49v9Ol20y7vsWkfOBU4DPGVt4nmgI51HaGGMajDG9xpgo8JMkacmo71lEQsCngYeSbZOu71iDRRrYMsefAeuNMTcn2abGboeIHIlzbBrTl8q4tBSKSHHfY5zKzLUJmy0DzrOtoo4GmvqKUnyW9C4sk77jBMuA8+3j84HHXLb5KzBDRPazuaez7et8ISLzgauBBcaYtiTbDOU8SpuEOrVPJUlLRn3PwInAP4wx29xWpvU7HukadP0zAMfgZGX/Dqy2fycDFwMX220uBdbhtL54CfgXH9M7zaZjjU3Tf9rlsekV4A6cliOvAXMz4HsuwLn4l8Ysy6jvGCeQbQe6ce5iLwQqgD8CG+z/cXbbCcCTMa89Gacl3Zt9x8THNG/EKdvvO5/vTExzsvPIxzTfb8/Vv+MEgNpM+Z7d0muX39t3/sZs68t3rMN9KKWUSkmLoZRSSqWkwUIppVRKGiyUUkqlpMFCKaVUShoslFJKpaTBQimPicinRMSIyIF+p0Upr2iwUMp75wAv4nToUmpU0GChlIfs+F8fwekEdrZdFhCRH4ozl8kTIvKkiJxh1x0hIi/YQeB+l0Ej9yoVR4OFUt5aCDxtjHkD2CPOpFCfBuqAQ4AvAh+G/vHCbgPOMMYcAdwNfMeHNCuVUsjvBCg1ypwD/J99/KB9ngP8yjgD2O0Qkefs+gOAWcAf7JBVQZwhH5TKOBoslPKIiFQAJwCzRMTgXPwNzkigri8B1hljPpymJCr1vmkxlFLeOQNn9sCpxpg6Y8xk4C1gN3C6rbuoxpneFeCfQKWI9BdLZdCETErF0WChlHfOYWAu4hGcUUK34Qwd/WOcWRKbjDNt5xnA90RkDc7orf+SttQqNQw66qxSaSAiRcaYVltU9QrO7GY7/E6XUkOldRZKpccTIlIGhIFva6BQ2UZzFkoppVLSOgullFIpabBQSimVkgYLpZRSKWmwUEoplZIGC6WUUin9fwcTmJVCfxuNAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(y='Year', x='Age', data=movieRatings);\n",
    "plt.title('Scatter Plot Showing Age vs Release Year');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de7c8f80",
   "metadata": {},
   "source": [
    "The scatter plot shows the distribution between the year of movies released versus the age group the movie could be watched by.\n",
    "The scatter plot shows that most of the movies are for the audiences of all age and comparative number of shows are of the \n",
    "viewers above age of 16 but few amounts of show are targeted to the viewers above age of 13. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3142ab5f",
   "metadata": {},
   "source": [
    "### Top 10 Movies on Each Rating Sites "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa392583",
   "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>Title</th>\n",
       "      <th>Year</th>\n",
       "      <th>Age</th>\n",
       "      <th>IMDb</th>\n",
       "      <th>RottenTomatoes</th>\n",
       "      <th>Netflix</th>\n",
       "      <th>Hulu</th>\n",
       "      <th>PrimeVideo</th>\n",
       "      <th>Disney+</th>\n",
       "      <th>Type</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Breaking Bad</td>\n",
       "      <td>2008</td>\n",
       "      <td>18</td>\n",
       "      <td>9.4</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1960</th>\n",
       "      <td>Rick and Morty</td>\n",
       "      <td>2013</td>\n",
       "      <td>18</td>\n",
       "      <td>9.2</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Stranger Things</td>\n",
       "      <td>2016</td>\n",
       "      <td>16</td>\n",
       "      <td>8.7</td>\n",
       "      <td>96</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Attack on Titan</td>\n",
       "      <td>2013</td>\n",
       "      <td>18</td>\n",
       "      <td>9.0</td>\n",
       "      <td>95</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5376</th>\n",
       "      <td>Loki</td>\n",
       "      <td>2021</td>\n",
       "      <td>16</td>\n",
       "      <td>8.5</td>\n",
       "      <td>95</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Better Call Saul</td>\n",
       "      <td>2015</td>\n",
       "      <td>18</td>\n",
       "      <td>8.8</td>\n",
       "      <td>94</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5377</th>\n",
       "      <td>The Mandalorian</td>\n",
       "      <td>2019</td>\n",
       "      <td>16</td>\n",
       "      <td>8.8</td>\n",
       "      <td>94</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dark</td>\n",
       "      <td>2017</td>\n",
       "      <td>16</td>\n",
       "      <td>8.8</td>\n",
       "      <td>93</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Avatar: The Last Airbender</td>\n",
       "      <td>2005</td>\n",
       "      <td>7</td>\n",
       "      <td>9.3</td>\n",
       "      <td>93</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Peaky Blinders</td>\n",
       "      <td>2013</td>\n",
       "      <td>18</td>\n",
       "      <td>8.8</td>\n",
       "      <td>93</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Title  Year  Age  IMDb  RottenTomatoes  Netflix  \\\n",
       "ID                                                                           \n",
       "1                   Breaking Bad  2008   18   9.4             100        1   \n",
       "1960              Rick and Morty  2013   18   9.2             100        0   \n",
       "2                Stranger Things  2016   16   8.7              96        1   \n",
       "3                Attack on Titan  2013   18   9.0              95        1   \n",
       "5376                        Loki  2021   16   8.5              95        0   \n",
       "4               Better Call Saul  2015   18   8.8              94        1   \n",
       "5377             The Mandalorian  2019   16   8.8              94        0   \n",
       "5                           Dark  2017   16   8.8              93        1   \n",
       "6     Avatar: The Last Airbender  2005    7   9.3              93        1   \n",
       "7                 Peaky Blinders  2013   18   8.8              93        1   \n",
       "\n",
       "      Hulu  PrimeVideo  Disney+  Type  \n",
       "ID                                     \n",
       "1        0           0        0     1  \n",
       "1960     1           0        0     1  \n",
       "2        0           0        0     1  \n",
       "3        1           0        0     1  \n",
       "5376     0           0        1     1  \n",
       "4        0           0        0     1  \n",
       "5377     0           0        1     1  \n",
       "5        0           0        0     1  \n",
       "6        0           1        0     1  \n",
       "7        0           0        0     1  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top10movies = movieRatings.nlargest(10, ['RottenTomatoes'])\n",
    "top10movies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b9998f3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(y=\"Title\", x=\"RottenTomatoes\", data=top10movies);\n",
    "plt.title('Top 10 Movies on Rotten Tomatoes');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ef0cf78",
   "metadata": {},
   "source": [
    "The bar graph expresses the result obtained from the query above. This shows that Breaking Bad and RicK & Morty are the \n",
    "best rated TV shows in the Rotten Tomatoes platform."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4eed7374",
   "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>Title</th>\n",
       "      <th>Year</th>\n",
       "      <th>Age</th>\n",
       "      <th>IMDb</th>\n",
       "      <th>RottenTomatoes</th>\n",
       "      <th>Netflix</th>\n",
       "      <th>Hulu</th>\n",
       "      <th>PrimeVideo</th>\n",
       "      <th>Disney+</th>\n",
       "      <th>Type</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4054</th>\n",
       "      <td>The Secret World of Nature: Spain</td>\n",
       "      <td>2020</td>\n",
       "      <td>7</td>\n",
       "      <td>9.6</td>\n",
       "      <td>51</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5401</th>\n",
       "      <td>Bluey</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>9.6</td>\n",
       "      <td>71</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3818</th>\n",
       "      <td>Malgudi Days</td>\n",
       "      <td>1987</td>\n",
       "      <td>1</td>\n",
       "      <td>9.5</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Breaking Bad</td>\n",
       "      <td>2008</td>\n",
       "      <td>18</td>\n",
       "      <td>9.4</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Avatar: The Last Airbender</td>\n",
       "      <td>2005</td>\n",
       "      <td>7</td>\n",
       "      <td>9.3</td>\n",
       "      <td>93</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Our Planet</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>9.3</td>\n",
       "      <td>82</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2034</th>\n",
       "      <td>Cosmos</td>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>9.3</td>\n",
       "      <td>82</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1960</th>\n",
       "      <td>Rick and Morty</td>\n",
       "      <td>2013</td>\n",
       "      <td>18</td>\n",
       "      <td>9.2</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3668</th>\n",
       "      <td>Clarkson's Farm</td>\n",
       "      <td>2021</td>\n",
       "      <td>7</td>\n",
       "      <td>9.2</td>\n",
       "      <td>76</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5435</th>\n",
       "      <td>Cosmos: Possible Worlds</td>\n",
       "      <td>2020</td>\n",
       "      <td>7</td>\n",
       "      <td>9.2</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  Title  Year  Age  IMDb  RottenTomatoes  \\\n",
       "ID                                                                         \n",
       "4054  The Secret World of Nature: Spain  2020    7   9.6              51   \n",
       "5401                              Bluey  2018    1   9.6              71   \n",
       "3818                       Malgudi Days  1987    1   9.5              62   \n",
       "1                          Breaking Bad  2008   18   9.4             100   \n",
       "6            Avatar: The Last Airbender  2005    7   9.3              93   \n",
       "81                           Our Planet  2019    1   9.3              82   \n",
       "2034                             Cosmos  2014    1   9.3              82   \n",
       "1960                     Rick and Morty  2013   18   9.2             100   \n",
       "3668                    Clarkson's Farm  2021    7   9.2              76   \n",
       "5435            Cosmos: Possible Worlds  2020    7   9.2              62   \n",
       "\n",
       "      Netflix  Hulu  PrimeVideo  Disney+  Type  \n",
       "ID                                              \n",
       "4054        0     0           1        0     1  \n",
       "5401        0     0           0        1     1  \n",
       "3818        0     0           1        0     1  \n",
       "1           1     0           0        0     1  \n",
       "6           1     0           1        0     1  \n",
       "81          1     0           0        0     1  \n",
       "2034        0     1           1        1     1  \n",
       "1960        0     1           0        0     1  \n",
       "3668        0     0           1        0     1  \n",
       "5435        0     0           0        1     1  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top10moviesIMDb = movieRatings.nlargest(10, ['IMDb'])\n",
    "top10moviesIMDb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "93860e91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(y='Title', x='IMDb', data=top10moviesIMDb);\n",
    "plt.title('Top 10 movies on IMDB');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96a10e6c",
   "metadata": {},
   "source": [
    "The bar graph is created to form the visualization obtained in the above query. The result obtained from both the visualizations\n",
    "shows that \"Rick and Morty \", \"Breaking Bad\", and \"Avatar: The Last Airbender\" are the three shows which are in the top 10 \n",
    "rankings for both rating platform. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03c03fd6",
   "metadata": {},
   "source": [
    "### Calculating the movies in dataset with 100 Rotten Tomatoes rating "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3684d95f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Title             2\n",
       "Year              2\n",
       "Age               2\n",
       "IMDb              2\n",
       "RottenTomatoes    2\n",
       "Netflix           2\n",
       "Hulu              2\n",
       "PrimeVideo        2\n",
       "Disney+           2\n",
       "Type              2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movieRatings[movieRatings.RottenTomatoes == 100].count()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2757c5d8",
   "metadata": {},
   "source": [
    "The result shows that the dataset consists of two entries with 100 rating on Rotten Tomatoes. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d00025e1",
   "metadata": {},
   "source": [
    "## Line Graph Between movies before and after 2000 on the basis of age categories "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "05956ebc",
   "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>Title</th>\n",
       "      <th>Year</th>\n",
       "      <th>Age</th>\n",
       "      <th>IMDb</th>\n",
       "      <th>RottenTomatoes</th>\n",
       "      <th>Netflix</th>\n",
       "      <th>Hulu</th>\n",
       "      <th>PrimeVideo</th>\n",
       "      <th>Disney+</th>\n",
       "      <th>Type</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Star Trek: The Next Generation</td>\n",
       "      <td>1987</td>\n",
       "      <td>7</td>\n",
       "      <td>8.6</td>\n",
       "      <td>86</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>One Piece</td>\n",
       "      <td>1999</td>\n",
       "      <td>7</td>\n",
       "      <td>8.8</td>\n",
       "      <td>85</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Gilmore Girls</td>\n",
       "      <td>2000</td>\n",
       "      <td>16</td>\n",
       "      <td>8.1</td>\n",
       "      <td>84</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Star Trek</td>\n",
       "      <td>1966</td>\n",
       "      <td>7</td>\n",
       "      <td>8.3</td>\n",
       "      <td>82</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Neon Genesis Evangelion</td>\n",
       "      <td>1995</td>\n",
       "      <td>16</td>\n",
       "      <td>8.5</td>\n",
       "      <td>82</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5568</th>\n",
       "      <td>Bonkers</td>\n",
       "      <td>1993</td>\n",
       "      <td>1</td>\n",
       "      <td>6.8</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5586</th>\n",
       "      <td>Adventures in Wonderland</td>\n",
       "      <td>1992</td>\n",
       "      <td>7</td>\n",
       "      <td>8.0</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5597</th>\n",
       "      <td>The Avengers: United They Stand</td>\n",
       "      <td>1999</td>\n",
       "      <td>7</td>\n",
       "      <td>5.5</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5606</th>\n",
       "      <td>Spider-Woman</td>\n",
       "      <td>1979</td>\n",
       "      <td>1</td>\n",
       "      <td>5.8</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5620</th>\n",
       "      <td>Teacher's Pet</td>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>6.3</td>\n",
       "      <td>42</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>334 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                Title  Year  Age  IMDb  RottenTomatoes  \\\n",
       "ID                                                                       \n",
       "41     Star Trek: The Next Generation  1987    7   8.6              86   \n",
       "55                          One Piece  1999    7   8.8              85   \n",
       "68                      Gilmore Girls  2000   16   8.1              84   \n",
       "85                          Star Trek  1966    7   8.3              82   \n",
       "92            Neon Genesis Evangelion  1995   16   8.5              82   \n",
       "...                               ...   ...  ...   ...             ...   \n",
       "5568                          Bonkers  1993    1   6.8              47   \n",
       "5586         Adventures in Wonderland  1992    7   8.0              46   \n",
       "5597  The Avengers: United They Stand  1999    7   5.5              45   \n",
       "5606                     Spider-Woman  1979    1   5.8              44   \n",
       "5620                    Teacher's Pet  2000    1   6.3              42   \n",
       "\n",
       "      Netflix  Hulu  PrimeVideo  Disney+  Type  \n",
       "ID                                              \n",
       "41          1     1           1        0     1  \n",
       "55          1     1           0        0     1  \n",
       "68          1     0           0        0     1  \n",
       "85          1     1           1        0     1  \n",
       "92          1     0           0        0     1  \n",
       "...       ...   ...         ...      ...   ...  \n",
       "5568        0     0           0        1     1  \n",
       "5586        0     0           0        1     1  \n",
       "5597        0     0           0        1     1  \n",
       "5606        0     0           0        1     1  \n",
       "5620        0     0           0        1     1  \n",
       "\n",
       "[334 rows x 10 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Movies before 2000 \n",
    "Before2000 = movieRatings[(movieRatings['Year'] <= 2000 )]\n",
    "Before2000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ed10dd29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Title</th>\n",
       "      <th>Year</th>\n",
       "      <th>Age</th>\n",
       "      <th>IMDb</th>\n",
       "      <th>RottenTomatoes</th>\n",
       "      <th>Netflix</th>\n",
       "      <th>Hulu</th>\n",
       "      <th>PrimeVideo</th>\n",
       "      <th>Disney+</th>\n",
       "      <th>Type</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Breaking Bad</td>\n",
       "      <td>2008</td>\n",
       "      <td>18</td>\n",
       "      <td>9.4</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Stranger Things</td>\n",
       "      <td>2016</td>\n",
       "      <td>16</td>\n",
       "      <td>8.7</td>\n",
       "      <td>96</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Attack on Titan</td>\n",
       "      <td>2013</td>\n",
       "      <td>18</td>\n",
       "      <td>9.0</td>\n",
       "      <td>95</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Better Call Saul</td>\n",
       "      <td>2015</td>\n",
       "      <td>18</td>\n",
       "      <td>8.8</td>\n",
       "      <td>94</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dark</td>\n",
       "      <td>2017</td>\n",
       "      <td>16</td>\n",
       "      <td>8.8</td>\n",
       "      <td>93</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "    <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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5684</th>\n",
       "      <td>Disney Family Sundays</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>5.6</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5687</th>\n",
       "      <td>Wild Chile</td>\n",
       "      <td>2018</td>\n",
       "      <td>7</td>\n",
       "      <td>7.5</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5688</th>\n",
       "      <td>Howie Mandel's Animals Doing Things</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>3.2</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5690</th>\n",
       "      <td>The Big Fib</td>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>5.4</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5691</th>\n",
       "      <td>Vampirina: Ghoul Girls Rock!</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>7.7</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2873 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    Title  Year  Age  IMDb  RottenTomatoes  \\\n",
       "ID                                                                           \n",
       "1                            Breaking Bad  2008   18   9.4             100   \n",
       "2                         Stranger Things  2016   16   8.7              96   \n",
       "3                         Attack on Titan  2013   18   9.0              95   \n",
       "4                        Better Call Saul  2015   18   8.8              94   \n",
       "5                                    Dark  2017   16   8.8              93   \n",
       "...                                   ...   ...  ...   ...             ...   \n",
       "5684                Disney Family Sundays  2019    1   5.6              31   \n",
       "5687                           Wild Chile  2018    7   7.5              30   \n",
       "5688  Howie Mandel's Animals Doing Things  2018    1   3.2              30   \n",
       "5690                          The Big Fib  2020    1   5.4              29   \n",
       "5691         Vampirina: Ghoul Girls Rock!  2018    1   7.7              28   \n",
       "\n",
       "      Netflix  Hulu  PrimeVideo  Disney+  Type  \n",
       "ID                                              \n",
       "1           1     0           0        0     1  \n",
       "2           1     0           0        0     1  \n",
       "3           1     1           0        0     1  \n",
       "4           1     0           0        0     1  \n",
       "5           1     0           0        0     1  \n",
       "...       ...   ...         ...      ...   ...  \n",
       "5684        0     0           0        1     1  \n",
       "5687        0     0           0        1     1  \n",
       "5688        0     0           0        1     1  \n",
       "5690        0     0           0        1     1  \n",
       "5691        0     0           0        1     1  \n",
       "\n",
       "[2873 rows x 10 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#movies after 2000\n",
    "After2000 = movieRatings[(movieRatings['Year'] > 2000)]\n",
    "After2000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3a04e763",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "#imdb rating plot \n",
    "a =movieRatings.IMDb\n",
    "b = movieRatings.RottenTomatoes;\n",
    "plt.plot(a, color='r', label='IMDB');\n",
    "plt.plot(b, color='g',label='RottenTomatoes');\n",
    "plt.title('Line Plot Showing IMDB and Rotten Tomatoes Ratings for every show in the data');\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf413e41",
   "metadata": {},
   "source": [
    "The plot above shows the overall range of ratings on two different platforms, As IMDB ratings are 1-10 on rating they are at lower part of the visualization whereas the Rotten Tomatoes rating are fluctuating a lot due to the rating being carried out on a higher rate.  "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.3"
  },
  "vscode": {
   "interpreter": {
    "hash": "f6246b25e200e4c5124e3e61789ac81350562f0761bbcf92ad9e48654207659c"
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 },
 "nbformat": 4,
 "nbformat_minor": 5
}