investigate-a-dataset-template.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Project: TMDb movie data analysis\n",
    "\n",
    "## Table of Contents\n",
    "<ul>\n",
    "<li><a href=\"#intro\">Introduction</a></li>\n",
    "<li><a href=\"#wrangling\">Data Wrangling</a></li>\n",
    "<li><a href=\"#eda\">Exploratory Data Analysis</a></li>\n",
    "<li><a href=\"#q1\">Q1</a></li>\n",
    "<li><a href=\"#q2\">Q2</a></li>\n",
    "<li><a href=\"#q3\">Q3</a></li>\n",
    "<li><a href=\"#q4\">Q4</a></li>\n",
    "<li><a href=\"#conclusions\">Conclusions</a></li>\n",
    "</ul>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='intro'></a>\n",
    "## Introduction\n",
    "\n",
    ">This dataset contains information about thousands of movies collected from TMDb\n",
    "\n",
    "The following questions will be asked\n",
    "\n",
    "<a href=\"#q1\">Q1: Do movies with higher budge means higher rating ?</a>\n",
    "\n",
    "<a href=\"#q2\">Q2: Which directors have the highest vote average?</a>\n",
    "\n",
    "<a href=\"#q3\">Q3: Best runtime for highest vote?</a>\n",
    "\n",
    "<a href=\"#q4\">Q4: Which month gets the highest vote ?</a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Importing needed libs\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='wrangling'></a>\n",
    "## Data Wrangling\n",
    "\n",
    "### General Properties"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>imdb_id</th>\n",
       "      <th>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>cast</th>\n",
       "      <th>homepage</th>\n",
       "      <th>director</th>\n",
       "      <th>tagline</th>\n",
       "      <th>...</th>\n",
       "      <th>overview</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>135397</td>\n",
       "      <td>tt0369610</td>\n",
       "      <td>32.985763</td>\n",
       "      <td>150000000</td>\n",
       "      <td>1513528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...</td>\n",
       "      <td>http://www.jurassicworld.com/</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>The park is open.</td>\n",
       "      <td>...</td>\n",
       "      <td>Twenty-two years after the events of Jurassic ...</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Universal Studios|Amblin Entertainment|Legenda...</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>5562</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.379999e+08</td>\n",
       "      <td>1.392446e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>76341</td>\n",
       "      <td>tt1392190</td>\n",
       "      <td>28.419936</td>\n",
       "      <td>150000000</td>\n",
       "      <td>378436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...</td>\n",
       "      <td>http://www.madmaxmovie.com/</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>What a Lovely Day.</td>\n",
       "      <td>...</td>\n",
       "      <td>An apocalyptic story set in the furthest reach...</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Village Roadshow Pictures|Kennedy Miller Produ...</td>\n",
       "      <td>5/13/15</td>\n",
       "      <td>6185</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.379999e+08</td>\n",
       "      <td>3.481613e+08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       id    imdb_id  popularity     budget     revenue      original_title  \\\n",
       "0  135397  tt0369610   32.985763  150000000  1513528810      Jurassic World   \n",
       "1   76341  tt1392190   28.419936  150000000   378436354  Mad Max: Fury Road   \n",
       "\n",
       "                                                cast  \\\n",
       "0  Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...   \n",
       "1  Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...   \n",
       "\n",
       "                        homepage         director             tagline  ...  \\\n",
       "0  http://www.jurassicworld.com/  Colin Trevorrow   The park is open.  ...   \n",
       "1    http://www.madmaxmovie.com/    George Miller  What a Lovely Day.  ...   \n",
       "\n",
       "                                            overview runtime  \\\n",
       "0  Twenty-two years after the events of Jurassic ...     124   \n",
       "1  An apocalyptic story set in the furthest reach...     120   \n",
       "\n",
       "                                      genres  \\\n",
       "0  Action|Adventure|Science Fiction|Thriller   \n",
       "1  Action|Adventure|Science Fiction|Thriller   \n",
       "\n",
       "                                production_companies release_date vote_count  \\\n",
       "0  Universal Studios|Amblin Entertainment|Legenda...       6/9/15       5562   \n",
       "1  Village Roadshow Pictures|Kennedy Miller Produ...      5/13/15       6185   \n",
       "\n",
       "   vote_average  release_year    budget_adj   revenue_adj  \n",
       "0           6.5          2015  1.379999e+08  1.392446e+09  \n",
       "1           7.1          2015  1.379999e+08  3.481613e+08  \n",
       "\n",
       "[2 rows x 21 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Loading data and quick view\n",
    "df = pd.read_csv('tmdb-movies.csv', encoding='UTF-8')\n",
    "df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data Shape value is (Rows, Col) (10866, 21)\n"
     ]
    }
   ],
   "source": [
    "#Getting some basic info\n",
    "print('Data Shape value is (Rows, Col)', df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10866 entries, 0 to 10865\n",
      "Data columns (total 21 columns):\n",
      " #   Column                Non-Null Count  Dtype  \n",
      "---  ------                --------------  -----  \n",
      " 0   id                    10866 non-null  int64  \n",
      " 1   imdb_id               10856 non-null  object \n",
      " 2   popularity            10866 non-null  float64\n",
      " 3   budget                10866 non-null  int64  \n",
      " 4   revenue               10866 non-null  int64  \n",
      " 5   original_title        10866 non-null  object \n",
      " 6   cast                  10790 non-null  object \n",
      " 7   homepage              2936 non-null   object \n",
      " 8   director              10822 non-null  object \n",
      " 9   tagline               8042 non-null   object \n",
      " 10  keywords              9373 non-null   object \n",
      " 11  overview              10862 non-null  object \n",
      " 12  runtime               10866 non-null  int64  \n",
      " 13  genres                10843 non-null  object \n",
      " 14  production_companies  9836 non-null   object \n",
      " 15  release_date          10866 non-null  object \n",
      " 16  vote_count            10866 non-null  int64  \n",
      " 17  vote_average          10866 non-null  float64\n",
      " 18  release_year          10866 non-null  int64  \n",
      " 19  budget_adj            10866 non-null  float64\n",
      " 20  revenue_adj           10866 non-null  float64\n",
      "dtypes: float64(4), int64(6), object(11)\n",
      "memory usage: 1.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                         0\n",
       "imdb_id                   10\n",
       "popularity                 0\n",
       "budget                     0\n",
       "revenue                    0\n",
       "original_title             0\n",
       "cast                      76\n",
       "homepage                7930\n",
       "director                  44\n",
       "tagline                 2824\n",
       "keywords                1493\n",
       "overview                   4\n",
       "runtime                    0\n",
       "genres                    23\n",
       "production_companies    1030\n",
       "release_date               0\n",
       "vote_count                 0\n",
       "vote_average               0\n",
       "release_year               0\n",
       "budget_adj                 0\n",
       "revenue_adj                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#finding NaNs\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Any Duplicates?\n",
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Cleaning "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>original_title</th>\n",
       "      <th>cast</th>\n",
       "      <th>director</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>150000000</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Universal Studios|Amblin Entertainment|Legenda...</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>5562</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget  original_title  \\\n",
       "0  150000000  Jurassic World   \n",
       "\n",
       "                                                cast         director  \\\n",
       "0  Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...  Colin Trevorrow   \n",
       "\n",
       "   runtime                                     genres  \\\n",
       "0      124  Action|Adventure|Science Fiction|Thriller   \n",
       "\n",
       "                                production_companies release_date  vote_count  \\\n",
       "0  Universal Studios|Amblin Entertainment|Legenda...       6/9/15        5562   \n",
       "\n",
       "   vote_average  release_year  \n",
       "0           6.5          2015  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Removing some unused columns \n",
    "df.drop(['id', 'popularity','imdb_id', 'revenue', 'homepage', 'tagline', 'keywords', 'overview', 'budget_adj', 'revenue_adj'], axis=1, inplace=True)\n",
    "df.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of dupicates is 0\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "budget                  0\n",
       "original_title          0\n",
       "cast                    0\n",
       "director                0\n",
       "runtime                 0\n",
       "genres                  0\n",
       "production_companies    0\n",
       "release_date            0\n",
       "vote_count              0\n",
       "vote_average            0\n",
       "release_year            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Removing dups and NaNs\n",
    "df.drop_duplicates(inplace=True)\n",
    "df.dropna(inplace=True)\n",
    "#Quick review\n",
    "print('Number of dupicates is', df.duplicated().sum())\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data Shape value is (9772, 11)\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 9772 entries, 0 to 10865\n",
      "Data columns (total 11 columns):\n",
      " #   Column                Non-Null Count  Dtype  \n",
      "---  ------                --------------  -----  \n",
      " 0   budget                9772 non-null   int64  \n",
      " 1   original_title        9772 non-null   object \n",
      " 2   cast                  9772 non-null   object \n",
      " 3   director              9772 non-null   object \n",
      " 4   runtime               9772 non-null   int64  \n",
      " 5   genres                9772 non-null   object \n",
      " 6   production_companies  9772 non-null   object \n",
      " 7   release_date          9772 non-null   object \n",
      " 8   vote_count            9772 non-null   int64  \n",
      " 9   vote_average          9772 non-null   float64\n",
      " 10  release_year          9772 non-null   int64  \n",
      "dtypes: float64(1), int64(4), object(6)\n",
      "memory usage: 916.1+ KB\n"
     ]
    }
   ],
   "source": [
    "#Checking new data \n",
    "print('Data Shape value is', df.shape)\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='eda'></a>\n",
    "## Exploratory Data Analysis\n",
    "<a id='q1'></a>\n",
    "### Q1: Do movies with higher budge means higher rating ? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Lets look at vote_average histogram\n",
    "df.vote_average.hist();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Creating copy of the df as we are going to remove rows with zero budget and zero vote_average\n",
    "df2 = df.copy()\n",
    "df2 = df2[df2.budget != 0]\n",
    "df2 = df2[df2.vote_average != 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "vote_average median is 6.1\n"
     ]
    }
   ],
   "source": [
    "#Lets find the vote_average median, and find the values under the above the median\n",
    "vta_median = df2['vote_average'].median()\n",
    "undVa = df2.query('vote_average < {}'.format(vta_median))\n",
    "abvVa = df2.query('vote_average > {}'.format(vta_median))\n",
    "#What is the vote_average median\n",
    "print('vote_average median is',vta_median)\n",
    "mean_budget_undva = undVa['budget'].mean()\n",
    "mean_budget_abvva = abvVa['budget'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Average Movie Budget')"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Drawing a bar chart to find how average movie budge by vote_averages\n",
    "locations = [1, 2]\n",
    "heights = [mean_budget_undva, mean_budget_abvva]\n",
    "labels = ['Under {} VA'.format(vta_median), 'Above {} VA'.format(vta_median)]\n",
    "plt.bar(locations, heights, tick_label=labels)\n",
    "plt.title('Average Movie budge by Voting Average')\n",
    "plt.xlabel('Voting Average')\n",
    "plt.ylabel('Average Movie Budget')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of movies with VA under 6.1 is 2165\n",
      "Number of movies with VA above 6.1 is 2856\n"
     ]
    }
   ],
   "source": [
    "#Looking for specific numbers\n",
    "print('Number of movies with VA under {} is'.format(vta_median),len(df2.query('vote_average < 6.0')))\n",
    "print('Number of movies with VA above {} is'.format(vta_median),len(df2.query('vote_average >= 6.0')))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df2.plot(x=\"vote_average\", y=\"budget\", kind=\"scatter\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">By looking at the above figures, this means the awnser to Q1 is mostly yes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='q2'></a>\n",
    "### Q2: Which directors have the highest vote average?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    9772.000000\n",
       "mean        5.963528\n",
       "std         0.913174\n",
       "min         1.500000\n",
       "25%         5.400000\n",
       "50%         6.000000\n",
       "75%         6.600000\n",
       "max         8.700000\n",
       "Name: vote_average, dtype: float64"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#First lets categorize/bin the vote_average ranges\n",
    "#Lets start binning!\n",
    "df['vote_average'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>original_title</th>\n",
       "      <th>cast</th>\n",
       "      <th>director</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>vote_rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>150000000</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Universal Studios|Amblin Entertainment|Legenda...</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>5562</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>Above Average</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget  original_title  \\\n",
       "0  150000000  Jurassic World   \n",
       "\n",
       "                                                cast         director  \\\n",
       "0  Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...  Colin Trevorrow   \n",
       "\n",
       "   runtime                                     genres  \\\n",
       "0      124  Action|Adventure|Science Fiction|Thriller   \n",
       "\n",
       "                                production_companies release_date  vote_count  \\\n",
       "0  Universal Studios|Amblin Entertainment|Legenda...       6/9/15        5562   \n",
       "\n",
       "   vote_average  release_year    vote_rating  \n",
       "0           6.5          2015  Above Average  "
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#creating the variables from the vote_average description \n",
    "va_min = df['vote_average'].describe()['min']\n",
    "va_25p = df['vote_average'].describe()['25%']\n",
    "va_50p = df['vote_average'].describe()['50%']\n",
    "va_75p = df['vote_average'].describe()['75%']\n",
    "va_max = df['vote_average'].describe()['max']\n",
    "#bins\n",
    "bin_edges = [va_min, va_25p, va_50p, va_75p, va_max]\n",
    "bin_names = ['Under Average' , 'Average', 'Above Average', 'Highest Rating']\n",
    "#creating columns\n",
    "df['vote_rating'] = pd.cut(df['vote_average'], bin_edges , labels=bin_names, include_lowest=True)\n",
    "#Lets see a quick peak\n",
    "df.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Under Average     2597\n",
       "Above Average     2518\n",
       "Average           2433\n",
       "Highest Rating    2224\n",
       "Name: vote_rating, dtype: int64"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.vote_rating.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 9772 entries, 0 to 10865\n",
      "Data columns (total 12 columns):\n",
      " #   Column                Non-Null Count  Dtype   \n",
      "---  ------                --------------  -----   \n",
      " 0   budget                9772 non-null   int64   \n",
      " 1   original_title        9772 non-null   object  \n",
      " 2   cast                  9772 non-null   object  \n",
      " 3   director              9772 non-null   object  \n",
      " 4   runtime               9772 non-null   int64   \n",
      " 5   genres                9772 non-null   object  \n",
      " 6   production_companies  9772 non-null   object  \n",
      " 7   release_date          9772 non-null   object  \n",
      " 8   vote_count            9772 non-null   int64   \n",
      " 9   vote_average          9772 non-null   float64 \n",
      " 10  release_year          9772 non-null   int64   \n",
      " 11  vote_rating           9772 non-null   category\n",
      "dtypes: category(1), float64(1), int64(4), object(6)\n",
      "memory usage: 925.9+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "#changing vote_rating to obj for better ploting\n",
    "df = df.astype({\"vote_rating\": str}, errors='raise') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 9772 entries, 0 to 10865\n",
      "Data columns (total 12 columns):\n",
      " #   Column                Non-Null Count  Dtype  \n",
      "---  ------                --------------  -----  \n",
      " 0   budget                9772 non-null   int64  \n",
      " 1   original_title        9772 non-null   object \n",
      " 2   cast                  9772 non-null   object \n",
      " 3   director              9772 non-null   object \n",
      " 4   runtime               9772 non-null   int64  \n",
      " 5   genres                9772 non-null   object \n",
      " 6   production_companies  9772 non-null   object \n",
      " 7   release_date          9772 non-null   object \n",
      " 8   vote_count            9772 non-null   int64  \n",
      " 9   vote_average          9772 non-null   float64\n",
      " 10  release_year          9772 non-null   int64  \n",
      " 11  vote_rating           9772 non-null   object \n",
      "dtypes: float64(1), int64(4), object(7)\n",
      "memory usage: 992.5+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.vote_rating.value_counts().plot(kind='bar')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "director           vote_rating   \n",
       "Martin Scorsese    Highest Rating    19\n",
       "Clint Eastwood     Highest Rating    18\n",
       "Steven Spielberg   Highest Rating    18\n",
       "Woody Allen        Highest Rating    17\n",
       "                   Above Average     16\n",
       "Steven Soderbergh  Above Average     13\n",
       "Ron Howard         Above Average     12\n",
       "Uwe Boll           Under Average     11\n",
       "Quentin Tarantino  Highest Rating    10\n",
       "Richard Donner     Above Average     10\n",
       "Name: vote_rating, dtype: int64"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3 = df.copy()\n",
    "df3.groupby('director')['vote_rating'].value_counts().nlargest(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">By looking at the above data, we can see the top 10 directors who have the highest number of votes for this dataset, with their respective rating, for example Martin Scorsese has 19 movies with rating \"Highest Rating\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='q3'></a>\n",
    "### Q3: Best runtime for highest vote?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean time:  109.64208633093526\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#creat copy from DF, and filter vote_rating column to show movies with rating \"Highest rating\", showing the mean runtime for those movies\n",
    "df4 = df.copy()\n",
    "df4 = df4.loc[df4['vote_rating'] == 'Highest Rating']\n",
    "print(\"Mean time: \",df4['runtime'].mean())\n",
    "sns.relplot(kind='scatter', data=df4, x=\"runtime\", y=\"vote_average\", height=5 , aspect=3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> By looking at the above we can see the mean runtime for \"Highest Rating\" moveis is 109 minutes, looking at the plot, we can see most movies have a sub 200 minutes runtime with few outliers.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Lets see if we can remove the outliers for a better looking plot\n",
    "def removeOutliers(temp_df4,threshold):\n",
    "    temp_df4 = temp_df4[temp_df4['runtime']<threshold]\n",
    "    return temp_df4\n",
    "#I have decided to only show movies with runtime under 400 minutes\n",
    "df4 = removeOutliers(df4,400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Lets Draw!\n",
    "sns.relplot(kind='scatter', data=df4, x=\"runtime\", y=\"vote_average\", height=5 , aspect=3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">By looking at the above plot, we have a better picture about runtime, were majority of \"Highest Rated\" moveis fall bettween 60 to 170 minutes, with handful one under 40ish minutes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='q4'></a>\n",
    "### Q4: Which month gets the highest vote ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 471.25x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df5 = df.copy()\n",
    "df5['release_date'] = pd.to_datetime(df5['release_date'])\n",
    "df5['month'] = df5['release_date'].dt.month\n",
    "sns.relplot(kind='scatter',x='month', y='vote_average', data=df5, hue='vote_rating', size='vote_rating')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> By looking at the above, its very hard to tell if releasing in a certain month has any future impact on the vote_rating"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='conclusions'></a>\n",
    "## Conclusions\n",
    "\n",
    "> for Q1: Do movies with higher budge means higher rating ?, the anwaser is mostly yes, as with higher budget = higher production quality, that gives a movie that the audience will enjoy\n",
    "\n",
    "> for Q2: Which directors have the highest vote average?, shows some industry known names dominate the top of the best vote_rating\n",
    "\n",
    "> for Q3: Best runtime for highest vote?, sweet spot seems to be around 110 minutes (1.8 Hours)\n",
    "\n",
    "> for Q4: Which month gets the highest vote ?, very hard to tell which month is the best\n",
    "\n",
    "**Limitations**\n",
    "Vote count discrepancy: some movies have vote_count by thousands' and others by hundreds, this has huge impact on the value of vote_average, leading to some form of popularity bias which resualts  in data insight skewness."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}