Python - Movie Industry EDA Project.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Movie Industry Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Objective: Investigate the film industry to gain sufficient understanding of what attributes to success and in turn utilize this analysis to create *actionable* recommendations for companies to enter the industry."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importing necessary libraries and the datasets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-17T19:44:34.418023Z",
     "start_time": "2020-07-17T19:44:32.213764Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import datetime as dt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Setting the default style for plots\n",
    "plt.style.use('ggplot')\n",
    "\n",
    "from matplotlib.pyplot import figure\n",
    "plt.rcParams['figure.figsize'] = (12,8)\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-17T19:45:00.483664Z",
     "start_time": "2020-07-17T19:45:00.320561Z"
    }
   },
   "outputs": [],
   "source": [
    "movie_dates_df = pd.read_csv('movie_release_dates.csv', index_col=0)\n",
    "theaters_df = pd.read_csv('movie_theater_data.csv', index_col=0)\n",
    "awards_df = pd.read_csv('movie_awards.csv', index_col=0)\n",
    "actors_df = pd.read_csv('Actors_Table.csv')\n",
    "directors_df = pd.read_csv('Directors_Table.csv')\n",
    "imdb_base_df = pd.read_csv('IMDb_base.csv')\n",
    "imdb_budgets_df = pd.read_csv('IMDb_budgets.csv')\n",
    "studio_df = pd.read_csv('studiodf.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#First remove any movies that had a $0 domestic gross.\n",
    "imdb_budgets_df = imdb_budgets_df[imdb_budgets_df['Domestic Gross'] !=0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Previewing the head of each dataframe so we know what data we are working with."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Movie</th>\n",
       "      <th>Year</th>\n",
       "      <th>IMDb</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Runtime</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Release Date</th>\n",
       "      <th>Production Budget</th>\n",
       "      <th>Domestic Gross</th>\n",
       "      <th>Worldwide Gross</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Avengers: Endgame</td>\n",
       "      <td>2019</td>\n",
       "      <td>8.4</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>181</td>\n",
       "      <td>Action, Adventure, Drama</td>\n",
       "      <td>Apr 23, 2019</td>\n",
       "      <td>400000000</td>\n",
       "      <td>858373000</td>\n",
       "      <td>2797800564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Avatar</td>\n",
       "      <td>2009</td>\n",
       "      <td>7.8</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>162</td>\n",
       "      <td>Action, Adventure, Fantasy</td>\n",
       "      <td>Dec 17, 2009</td>\n",
       "      <td>237000000</td>\n",
       "      <td>760507625</td>\n",
       "      <td>2788701337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Black Panther</td>\n",
       "      <td>2018</td>\n",
       "      <td>7.3</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>134</td>\n",
       "      <td>Action, Adventure, Sci-Fi</td>\n",
       "      <td>Feb 13, 2018</td>\n",
       "      <td>200000000</td>\n",
       "      <td>700059566</td>\n",
       "      <td>1346103376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Avengers: Infinity War</td>\n",
       "      <td>2018</td>\n",
       "      <td>8.4</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>149</td>\n",
       "      <td>Action, Adventure, Sci-Fi</td>\n",
       "      <td>Apr 25, 2018</td>\n",
       "      <td>300000000</td>\n",
       "      <td>678815482</td>\n",
       "      <td>2048359754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Titanic</td>\n",
       "      <td>1997</td>\n",
       "      <td>7.8</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>194</td>\n",
       "      <td>Drama, Romance</td>\n",
       "      <td>Dec 18, 1997</td>\n",
       "      <td>200000000</td>\n",
       "      <td>659363944</td>\n",
       "      <td>2208208395</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Movie  Year  IMDb Rating  Runtime  \\\n",
       "0       Avengers: Endgame  2019   8.4  PG-13      181   \n",
       "1                  Avatar  2009   7.8  PG-13      162   \n",
       "2           Black Panther  2018   7.3  PG-13      134   \n",
       "3  Avengers: Infinity War  2018   8.4  PG-13      149   \n",
       "4                 Titanic  1997   7.8  PG-13      194   \n",
       "\n",
       "                        Genre  Release Date  Production Budget  \\\n",
       "0    Action, Adventure, Drama  Apr 23, 2019          400000000   \n",
       "1  Action, Adventure, Fantasy  Dec 17, 2009          237000000   \n",
       "2   Action, Adventure, Sci-Fi  Feb 13, 2018          200000000   \n",
       "3   Action, Adventure, Sci-Fi  Apr 25, 2018          300000000   \n",
       "4              Drama, Romance  Dec 18, 1997          200000000   \n",
       "\n",
       "   Domestic Gross  Worldwide Gross  \n",
       "0       858373000       2797800564  \n",
       "1       760507625       2788701337  \n",
       "2       700059566       1346103376  \n",
       "3       678815482       2048359754  \n",
       "4       659363944       2208208395  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imdb_budgets_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie</th>\n",
       "      <th>release_date</th>\n",
       "      <th>release_month</th>\n",
       "      <th>release_day</th>\n",
       "      <th>release_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Metropolis</td>\n",
       "      <td>1927-03-06</td>\n",
       "      <td>March</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>1927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Dr. Mabuse, the Gambler</td>\n",
       "      <td>1927-08-08</td>\n",
       "      <td>August</td>\n",
       "      <td>Monday</td>\n",
       "      <td>1927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>The Unknown</td>\n",
       "      <td>1927-06-03</td>\n",
       "      <td>June</td>\n",
       "      <td>Friday</td>\n",
       "      <td>1927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>The Jazz Singer</td>\n",
       "      <td>1927-10-06</td>\n",
       "      <td>October</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chicago</td>\n",
       "      <td>1927-12-23</td>\n",
       "      <td>December</td>\n",
       "      <td>Friday</td>\n",
       "      <td>1927</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     movie release_date release_month release_day  \\\n",
       "0               Metropolis   1927-03-06         March      Sunday   \n",
       "1  Dr. Mabuse, the Gambler   1927-08-08        August      Monday   \n",
       "2              The Unknown   1927-06-03          June      Friday   \n",
       "3          The Jazz Singer   1927-10-06       October    Thursday   \n",
       "4                  Chicago   1927-12-23      December      Friday   \n",
       "\n",
       "   release_year  \n",
       "0          1927  \n",
       "1          1927  \n",
       "2          1927  \n",
       "3          1927  \n",
       "4          1927  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_dates_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>max_theaters</th>\n",
       "      <th>year</th>\n",
       "      <th>total_dom_gross($)</th>\n",
       "      <th>studio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>The Lion King</td>\n",
       "      <td>4802</td>\n",
       "      <td>2019</td>\n",
       "      <td>543638043</td>\n",
       "      <td>Disney</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Avengers: Endgame</td>\n",
       "      <td>4662</td>\n",
       "      <td>2019</td>\n",
       "      <td>858373000</td>\n",
       "      <td>Disney</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Spider-Man: Far from Home</td>\n",
       "      <td>4634</td>\n",
       "      <td>2019</td>\n",
       "      <td>390532085</td>\n",
       "      <td>Sony</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Toy Story 4</td>\n",
       "      <td>4575</td>\n",
       "      <td>2019</td>\n",
       "      <td>434038008</td>\n",
       "      <td>Disney</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>It Chapter Two</td>\n",
       "      <td>4570</td>\n",
       "      <td>2019</td>\n",
       "      <td>211593228</td>\n",
       "      <td>Warner Bros.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                       title  max_theaters  year  total_dom_gross($)  \\\n",
       "0              The Lion King          4802  2019           543638043   \n",
       "1          Avengers: Endgame          4662  2019           858373000   \n",
       "2  Spider-Man: Far from Home          4634  2019           390532085   \n",
       "3                Toy Story 4          4575  2019           434038008   \n",
       "4             It Chapter Two          4570  2019           211593228   \n",
       "\n",
       "         studio  \n",
       "0        Disney  \n",
       "1        Disney  \n",
       "2          Sony  \n",
       "3        Disney  \n",
       "4  Warner Bros.  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "theaters_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Movie</th>\n",
       "      <th>Year</th>\n",
       "      <th>value</th>\n",
       "      <th>Release Date</th>\n",
       "      <th>Production Budget</th>\n",
       "      <th>Domestic Gross</th>\n",
       "      <th>Worldwide Gross</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Avengers: Endgame</td>\n",
       "      <td>2019</td>\n",
       "      <td>Robert Downey Jr.</td>\n",
       "      <td>Apr 23, 2019</td>\n",
       "      <td>400000000</td>\n",
       "      <td>858373000</td>\n",
       "      <td>2797800564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Avengers: Endgame</td>\n",
       "      <td>2019</td>\n",
       "      <td>Chris Evans</td>\n",
       "      <td>Apr 23, 2019</td>\n",
       "      <td>400000000</td>\n",
       "      <td>858373000</td>\n",
       "      <td>2797800564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Avengers: Endgame</td>\n",
       "      <td>2019</td>\n",
       "      <td>Mark Ruffalo</td>\n",
       "      <td>Apr 23, 2019</td>\n",
       "      <td>400000000</td>\n",
       "      <td>858373000</td>\n",
       "      <td>2797800564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Avengers: Endgame</td>\n",
       "      <td>2019</td>\n",
       "      <td>Chris Hemsworth</td>\n",
       "      <td>Apr 23, 2019</td>\n",
       "      <td>400000000</td>\n",
       "      <td>858373000</td>\n",
       "      <td>2797800564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Avatar</td>\n",
       "      <td>2009</td>\n",
       "      <td>Sam Worthington</td>\n",
       "      <td>Dec 17, 2009</td>\n",
       "      <td>237000000</td>\n",
       "      <td>760507625</td>\n",
       "      <td>2788701337</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Movie  Year              value  Release Date  \\\n",
       "0  Avengers: Endgame  2019  Robert Downey Jr.  Apr 23, 2019   \n",
       "1  Avengers: Endgame  2019        Chris Evans  Apr 23, 2019   \n",
       "2  Avengers: Endgame  2019       Mark Ruffalo  Apr 23, 2019   \n",
       "3  Avengers: Endgame  2019    Chris Hemsworth  Apr 23, 2019   \n",
       "4             Avatar  2009    Sam Worthington  Dec 17, 2009   \n",
       "\n",
       "   Production Budget  Domestic Gross  Worldwide Gross  \n",
       "0          400000000       858373000       2797800564  \n",
       "1          400000000       858373000       2797800564  \n",
       "2          400000000       858373000       2797800564  \n",
       "3          400000000       858373000       2797800564  \n",
       "4          237000000       760507625       2788701337  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "actors_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Movie</th>\n",
       "      <th>Year</th>\n",
       "      <th>value</th>\n",
       "      <th>Release Date</th>\n",
       "      <th>Production Budget</th>\n",
       "      <th>Domestic Gross</th>\n",
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       "      <th>0</th>\n",
       "      <td>Avengers: Endgame</td>\n",
       "      <td>2019</td>\n",
       "      <td>Joe Russo</td>\n",
       "      <td>Apr 23, 2019</td>\n",
       "      <td>400000000</td>\n",
       "      <td>858373000</td>\n",
       "      <td>2797800564</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Avengers: Endgame</td>\n",
       "      <td>2019</td>\n",
       "      <td>Anthony Russo</td>\n",
       "      <td>Apr 23, 2019</td>\n",
       "      <td>400000000</td>\n",
       "      <td>858373000</td>\n",
       "      <td>2797800564</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Avatar</td>\n",
       "      <td>2009</td>\n",
       "      <td>James Cameron</td>\n",
       "      <td>Dec 17, 2009</td>\n",
       "      <td>237000000</td>\n",
       "      <td>760507625</td>\n",
       "      <td>2788701337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Black Panther</td>\n",
       "      <td>2018</td>\n",
       "      <td>Ryan Coogler</td>\n",
       "      <td>Feb 13, 2018</td>\n",
       "      <td>200000000</td>\n",
       "      <td>700059566</td>\n",
       "      <td>1346103376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Avengers: Infinity War</td>\n",
       "      <td>2018</td>\n",
       "      <td>Joe Russo</td>\n",
       "      <td>Apr 25, 2018</td>\n",
       "      <td>300000000</td>\n",
       "      <td>678815482</td>\n",
       "      <td>2048359754</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Movie  Year          value  Release Date  \\\n",
       "0       Avengers: Endgame  2019      Joe Russo  Apr 23, 2019   \n",
       "1       Avengers: Endgame  2019  Anthony Russo  Apr 23, 2019   \n",
       "2                  Avatar  2009  James Cameron  Dec 17, 2009   \n",
       "3           Black Panther  2018   Ryan Coogler  Feb 13, 2018   \n",
       "4  Avengers: Infinity War  2018      Joe Russo  Apr 25, 2018   \n",
       "\n",
       "   Production Budget  Domestic Gross  Worldwide Gross  \n",
       "0          400000000       858373000       2797800564  \n",
       "1          400000000       858373000       2797800564  \n",
       "2          237000000       760507625       2788701337  \n",
       "3          200000000       700059566       1346103376  \n",
       "4          300000000       678815482       2048359754  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "directors_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Movie</th>\n",
       "      <th>Year</th>\n",
       "      <th>IMDb</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Runtime</th>\n",
       "      <th>Genre</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Star Wars: Episode VII - The Force Awakens</td>\n",
       "      <td>2015</td>\n",
       "      <td>7.9</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>138</td>\n",
       "      <td>Action, Adventure, Sci-Fi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Avengers: Endgame</td>\n",
       "      <td>2019</td>\n",
       "      <td>8.4</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>181</td>\n",
       "      <td>Action, Adventure, Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Avatar</td>\n",
       "      <td>2009</td>\n",
       "      <td>7.8</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>162</td>\n",
       "      <td>Action, Adventure, Fantasy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Black Panther</td>\n",
       "      <td>2018</td>\n",
       "      <td>7.3</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>134</td>\n",
       "      <td>Action, Adventure, Sci-Fi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Avengers: Infinity War</td>\n",
       "      <td>2018</td>\n",
       "      <td>8.4</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>149</td>\n",
       "      <td>Action, Adventure, Sci-Fi</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Movie  Year  IMDb Rating  Runtime  \\\n",
       "0  Star Wars: Episode VII - The Force Awakens  2015   7.9  PG-13      138   \n",
       "1                           Avengers: Endgame  2019   8.4  PG-13      181   \n",
       "2                                      Avatar  2009   7.8  PG-13      162   \n",
       "3                               Black Panther  2018   7.3  PG-13      134   \n",
       "4                      Avengers: Infinity War  2018   8.4  PG-13      149   \n",
       "\n",
       "                        Genre  \n",
       "0   Action, Adventure, Sci-Fi  \n",
       "1    Action, Adventure, Drama  \n",
       "2  Action, Adventure, Fantasy  \n",
       "3   Action, Adventure, Sci-Fi  \n",
       "4   Action, Adventure, Sci-Fi  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imdb_base_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>studio</th>\n",
       "      <th>domestic_gross</th>\n",
       "      <th>foreign_gross</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Toy Story 3</td>\n",
       "      <td>Buena Vista</td>\n",
       "      <td>415000000.0</td>\n",
       "      <td>652000000</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alice in Wonderland (2010)</td>\n",
       "      <td>Buena Vista</td>\n",
       "      <td>334200000.0</td>\n",
       "      <td>691300000</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Harry Potter and the Deathly Hallows Part 1</td>\n",
       "      <td>WB</td>\n",
       "      <td>296000000.0</td>\n",
       "      <td>664300000</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Inception</td>\n",
       "      <td>WB</td>\n",
       "      <td>292600000.0</td>\n",
       "      <td>535700000</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shrek Forever After</td>\n",
       "      <td>Pixar/Dreamworks</td>\n",
       "      <td>238700000.0</td>\n",
       "      <td>513900000</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         title            studio  \\\n",
       "0                                  Toy Story 3       Buena Vista   \n",
       "1                   Alice in Wonderland (2010)       Buena Vista   \n",
       "2  Harry Potter and the Deathly Hallows Part 1                WB   \n",
       "3                                    Inception                WB   \n",
       "4                          Shrek Forever After  Pixar/Dreamworks   \n",
       "\n",
       "   domestic_gross foreign_gross  year  \n",
       "0     415000000.0     652000000  2010  \n",
       "1     334200000.0     691300000  2010  \n",
       "2     296000000.0     664300000  2010  \n",
       "3     292600000.0     535700000  2010  \n",
       "4     238700000.0     513900000  2010  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "studio_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 1: What are the most profitable movies and how much should you spend?\n",
    "\n",
    "Let's calculate profit and profit margin for each of the movies in `imdb_budgets_df` dataframe and add those as new columns.  \n",
    "\n",
    "Here, we'll define profit as `Worldwide Gross`-`Production Budget`.\n",
    "\n",
    "It will also be beneficial in our analysis to have uniformity when discussing movie budgets and profits so we will also create an adjusted budget and adjusted profit column to account for inflation.\n",
    "\n",
    "We will use an average inflation rate of 3.22%."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "imdb_budgets_df['Profit'] = imdb_budgets_df['Worldwide Gross'] - imdb_budgets_df['Production Budget']\n",
    "\n",
    "imdb_budgets_df['Profit_Margin'] = (imdb_budgets_df['Worldwide Gross'] - \n",
    "                                    imdb_budgets_df['Production Budget'])/imdb_budgets_df['Worldwide Gross']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Movie</th>\n",
       "      <th>Year</th>\n",
       "      <th>IMDb</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Runtime</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Release Date</th>\n",
       "      <th>Production Budget</th>\n",
       "      <th>Domestic Gross</th>\n",
       "      <th>Worldwide Gross</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Profit_Margin</th>\n",
       "      <th>Adjusted_Budget</th>\n",
       "      <th>Adjusted_Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Avengers: Endgame</td>\n",
       "      <td>2019</td>\n",
       "      <td>8.40</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>181</td>\n",
       "      <td>Action, Adventure, Drama</td>\n",
       "      <td>Apr 23, 2019</td>\n",
       "      <td>400000000</td>\n",
       "      <td>858373000</td>\n",
       "      <td>2797800564</td>\n",
       "      <td>2397800564</td>\n",
       "      <td>0.86</td>\n",
       "      <td>412880000.00</td>\n",
       "      <td>2475009742.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Avatar</td>\n",
       "      <td>2009</td>\n",
       "      <td>7.80</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>162</td>\n",
       "      <td>Action, Adventure, Fantasy</td>\n",
       "      <td>Dec 17, 2009</td>\n",
       "      <td>237000000</td>\n",
       "      <td>760507625</td>\n",
       "      <td>2788701337</td>\n",
       "      <td>2551701337</td>\n",
       "      <td>0.92</td>\n",
       "      <td>320945400.00</td>\n",
       "      <td>3455513950.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Black Panther</td>\n",
       "      <td>2018</td>\n",
       "      <td>7.30</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>134</td>\n",
       "      <td>Action, Adventure, Sci-Fi</td>\n",
       "      <td>Feb 13, 2018</td>\n",
       "      <td>200000000</td>\n",
       "      <td>700059566</td>\n",
       "      <td>1346103376</td>\n",
       "      <td>1146103376</td>\n",
       "      <td>0.85</td>\n",
       "      <td>212880000.00</td>\n",
       "      <td>1219912433.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Avengers: Infinity War</td>\n",
       "      <td>2018</td>\n",
       "      <td>8.40</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>149</td>\n",
       "      <td>Action, Adventure, Sci-Fi</td>\n",
       "      <td>Apr 25, 2018</td>\n",
       "      <td>300000000</td>\n",
       "      <td>678815482</td>\n",
       "      <td>2048359754</td>\n",
       "      <td>1748359754</td>\n",
       "      <td>0.85</td>\n",
       "      <td>319320000.00</td>\n",
       "      <td>1860954122.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Titanic</td>\n",
       "      <td>1997</td>\n",
       "      <td>7.80</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>194</td>\n",
       "      <td>Drama, Romance</td>\n",
       "      <td>Dec 18, 1997</td>\n",
       "      <td>200000000</td>\n",
       "      <td>659363944</td>\n",
       "      <td>2208208395</td>\n",
       "      <td>2008208395</td>\n",
       "      <td>0.91</td>\n",
       "      <td>348120000.00</td>\n",
       "      <td>3495487532.34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Movie  Year  IMDb Rating  Runtime  \\\n",
       "0       Avengers: Endgame  2019  8.40  PG-13      181   \n",
       "1                  Avatar  2009  7.80  PG-13      162   \n",
       "2           Black Panther  2018  7.30  PG-13      134   \n",
       "3  Avengers: Infinity War  2018  8.40  PG-13      149   \n",
       "4                 Titanic  1997  7.80  PG-13      194   \n",
       "\n",
       "                        Genre  Release Date  Production Budget  \\\n",
       "0    Action, Adventure, Drama  Apr 23, 2019          400000000   \n",
       "1  Action, Adventure, Fantasy  Dec 17, 2009          237000000   \n",
       "2   Action, Adventure, Sci-Fi  Feb 13, 2018          200000000   \n",
       "3   Action, Adventure, Sci-Fi  Apr 25, 2018          300000000   \n",
       "4              Drama, Romance  Dec 18, 1997          200000000   \n",
       "\n",
       "   Domestic Gross  Worldwide Gross      Profit  Profit_Margin  \\\n",
       "0       858373000       2797800564  2397800564           0.86   \n",
       "1       760507625       2788701337  2551701337           0.92   \n",
       "2       700059566       1346103376  1146103376           0.85   \n",
       "3       678815482       2048359754  1748359754           0.85   \n",
       "4       659363944       2208208395  2008208395           0.91   \n",
       "\n",
       "   Adjusted_Budget  Adjusted_Profit  \n",
       "0     412880000.00    2475009742.16  \n",
       "1     320945400.00    3455513950.57  \n",
       "2     212880000.00    1219912433.41  \n",
       "3     319320000.00    1860954122.16  \n",
       "4     348120000.00    3495487532.34  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imdb_budgets_df['Adjusted_Budget'] = ((((2020-imdb_budgets_df['Year'])*.0322)+1)*\n",
    "                                      imdb_budgets_df['Production Budget'])\n",
    "\n",
    "#Suppressing Scienific Notation\n",
    "pd.options.display.float_format = '{:.2f}'.format\n",
    "\n",
    "imdb_budgets_df['Adjusted_Profit'] = (((2020-imdb_budgets_df['Year'])*.0322)+1)*imdb_budgets_df['Profit']\n",
    "imdb_budgets_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For this question we are specifically looking at profitable movies.  We'll create a separate dataframe called `profitable_movies_df` where the `Profit` column is greater than 0. We will then sort by `Adjusted_Profit` to rank movies in terms of profitability."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>Movie</th>\n",
       "      <th>Year</th>\n",
       "      <th>IMDb</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Runtime</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Release Date</th>\n",
       "      <th>Production Budget</th>\n",
       "      <th>Domestic Gross</th>\n",
       "      <th>Worldwide Gross</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Profit_Margin</th>\n",
       "      <th>Adjusted_Budget</th>\n",
       "      <th>Adjusted_Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>Titanic</td>\n",
       "      <td>1997</td>\n",
       "      <td>7.80</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>194</td>\n",
       "      <td>Drama, Romance</td>\n",
       "      <td>Dec 18, 1997</td>\n",
       "      <td>200000000</td>\n",
       "      <td>659363944</td>\n",
       "      <td>2208208395</td>\n",
       "      <td>2008208395</td>\n",
       "      <td>0.91</td>\n",
       "      <td>348120000.00</td>\n",
       "      <td>3495487532.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>2009</td>\n",
       "      <td>7.80</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>162</td>\n",
       "      <td>Action, Adventure, Fantasy</td>\n",
       "      <td>Dec 17, 2009</td>\n",
       "      <td>237000000</td>\n",
       "      <td>760507625</td>\n",
       "      <td>2788701337</td>\n",
       "      <td>2551701337</td>\n",
       "      <td>0.92</td>\n",
       "      <td>320945400.00</td>\n",
       "      <td>3455513950.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>Avengers: Endgame</td>\n",
       "      <td>2019</td>\n",
       "      <td>8.40</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>181</td>\n",
       "      <td>Action, Adventure, Drama</td>\n",
       "      <td>Apr 23, 2019</td>\n",
       "      <td>400000000</td>\n",
       "      <td>858373000</td>\n",
       "      <td>2797800564</td>\n",
       "      <td>2397800564</td>\n",
       "      <td>0.86</td>\n",
       "      <td>412880000.00</td>\n",
       "      <td>2475009742.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Avengers: Infinity War</td>\n",
       "      <td>2018</td>\n",
       "      <td>8.40</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>149</td>\n",
       "      <td>Action, Adventure, Sci-Fi</td>\n",
       "      <td>Apr 25, 2018</td>\n",
       "      <td>300000000</td>\n",
       "      <td>678815482</td>\n",
       "      <td>2048359754</td>\n",
       "      <td>1748359754</td>\n",
       "      <td>0.85</td>\n",
       "      <td>319320000.00</td>\n",
       "      <td>1860954122.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>28</td>\n",
       "      <td>Jurassic Park</td>\n",
       "      <td>1993</td>\n",
       "      <td>8.10</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>127</td>\n",
       "      <td>Action, Adventure, Sci-Fi</td>\n",
       "      <td>Jun 11, 1993</td>\n",
       "      <td>63000000</td>\n",
       "      <td>402523348</td>\n",
       "      <td>1045627627</td>\n",
       "      <td>982627627</td>\n",
       "      <td>0.94</td>\n",
       "      <td>117772200.00</td>\n",
       "      <td>1836924085.91</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index                   Movie  Year  IMDb Rating  Runtime  \\\n",
       "0      4                 Titanic  1997  7.80  PG-13      194   \n",
       "1      1                  Avatar  2009  7.80  PG-13      162   \n",
       "2      0       Avengers: Endgame  2019  8.40  PG-13      181   \n",
       "3      3  Avengers: Infinity War  2018  8.40  PG-13      149   \n",
       "4     28           Jurassic Park  1993  8.10  PG-13      127   \n",
       "\n",
       "                        Genre  Release Date  Production Budget  \\\n",
       "0              Drama, Romance  Dec 18, 1997          200000000   \n",
       "1  Action, Adventure, Fantasy  Dec 17, 2009          237000000   \n",
       "2    Action, Adventure, Drama  Apr 23, 2019          400000000   \n",
       "3   Action, Adventure, Sci-Fi  Apr 25, 2018          300000000   \n",
       "4   Action, Adventure, Sci-Fi  Jun 11, 1993           63000000   \n",
       "\n",
       "   Domestic Gross  Worldwide Gross      Profit  Profit_Margin  \\\n",
       "0       659363944       2208208395  2008208395           0.91   \n",
       "1       760507625       2788701337  2551701337           0.92   \n",
       "2       858373000       2797800564  2397800564           0.86   \n",
       "3       678815482       2048359754  1748359754           0.85   \n",
       "4       402523348       1045627627   982627627           0.94   \n",
       "\n",
       "   Adjusted_Budget  Adjusted_Profit  \n",
       "0     348120000.00    3495487532.34  \n",
       "1     320945400.00    3455513950.57  \n",
       "2     412880000.00    2475009742.16  \n",
       "3     319320000.00    1860954122.16  \n",
       "4     117772200.00    1836924085.91  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "profitable_movies_df = imdb_budgets_df.loc[imdb_budgets_df['Profit'] > 0]\n",
    "profitable_ranked_df = profitable_movies_df.sort_values(by=['Adjusted_Profit'], ascending=False)\n",
    "profitable_ranked_df.reset_index(inplace=True) #Modify the DataFrame in place (do not create a new object).\n",
    "profitable_ranked_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we've got our profitable movie data, let's take a look at adjusted profit versus adjusted budget for each of the movies in the dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax1 = sns.lmplot(x='Adjusted_Budget', y='Adjusted_Profit', data=profitable_ranked_df, height=7, aspect=2)\n",
    "plt.xlabel('Budget Adjusted for Inflation (Millions of Dollars)', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "#setting x-axis label \n",
    "plt.ticklabel_format(axis='x', style='sci', scilimits=(6,6))\n",
    "plt.ylabel('Profit Adjusted for Inflation (Billions of Dollars)',fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.title('Adjusted Budget vs Adjusted Profit for Profitable Movies', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '25'})\n",
    "plt.savefig('BudgetVProfit', dpi = 300);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This scatter plot is helpful in beginning to understand how much money should be budgeted for a movie.  The positive trend line indicates that an increase in the budget will result in an increase in profit.\n",
    "\n",
    "Let's take a look at the most successful movies so that we can get a better idea of what the budget should be."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,12))\n",
    "sns.barplot(x=profitable_ranked_df.loc[0:25, 'Movie'],y=profitable_ranked_df.loc[0:25, 'Adjusted_Profit'], \n",
    "            color='mediumspringgreen', label='Profit', ci=None)\n",
    "sns.barplot(x=profitable_ranked_df.loc[0:25, 'Movie'],y=profitable_ranked_df.loc[0:25, 'Adjusted_Budget'], \n",
    "            color='black', label='Budget', ci=None)\n",
    "plt.xlabel('Movie', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.title(\"Profits and Budgets for the 25 Most Profitable Movies\", fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '25'})\n",
    "plt.ylabel('Adjusted Profit (Billions of Dollars)', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.xticks(rotation=35, horizontalalignment='right', fontsize=15)\n",
    "plt.legend(loc='best', fontsize=15)\n",
    "plt.savefig('ProfitBudgetTop25', dpi=300);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count        2836.00\n",
       "mean     60689139.20\n",
       "std      63199464.86\n",
       "min         10606.40\n",
       "25%      16608850.00\n",
       "50%      38684100.00\n",
       "75%      82247150.00\n",
       "max     488834200.00\n",
       "Name: Adjusted_Budget, dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "profitable_movies_df['Adjusted_Budget'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count          25.00\n",
       "mean    242777774.40\n",
       "std      80698866.89\n",
       "min     106064000.00\n",
       "25%     180635000.00\n",
       "50%     225760000.00\n",
       "75%     282960000.00\n",
       "max     423765000.00\n",
       "Name: Adjusted_Budget, dtype: float64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "profitable_movies_df.loc[0:24, 'Adjusted_Budget'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count   2836.00\n",
       "mean       0.62\n",
       "std        0.24\n",
       "min        0.00\n",
       "25%        0.47\n",
       "50%        0.67\n",
       "75%        0.81\n",
       "max        1.00\n",
       "Name: Profit_Margin, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "profitable_movies_df['Profit_Margin'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count   25.00\n",
       "mean     0.85\n",
       "std      0.05\n",
       "min      0.74\n",
       "25%      0.81\n",
       "50%      0.85\n",
       "75%      0.87\n",
       "max      0.93\n",
       "Name: Profit_Margin, dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "profitable_movies_df.loc[0:24, 'Profit_Margin'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2041"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(profitable_ranked_df.loc[profitable_ranked_df['Profit_Margin'] > 0.5])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Clearly the most successful 25 movies have both incredible profits and profit margins. Titanic (1997), Avatar, and Avengers: Endgame are the most successful movies in terms of sheer profit. \n",
    "\n",
    "So how do we know what to spend? We need to think about what sort of profit margin we want to see. 2043 out of 2841 total profitable movies have a profit margin over 50%. That's good news as it indicates that we can be more aggressive in choosing a threshold for the profit margin. The top 25 movies have a median profit margin of 84.9% with a median budget of \\\\$225,760,000. When looking at all of our profitable movies, the profit margin drops significantly to 67.1\\% and the budget drops significantly to \\\\$38,676,000. We use the median to describe our data here as the mean will be skewed by outlier data.\n",
    "\n",
    "Let's filter the data with a profit margin of  75% or greater and a budget greater than $38,676,000."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "374"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtered_df = profitable_ranked_df.loc[(profitable_ranked_df['Profit_Margin'] >= 0.75) & \n",
    "                         (profitable_ranked_df['Adjusted_Budget'] > 38676000)]\n",
    "len(filtered_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After filtering we still have 374 movies left upon which to draw conclusions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax2 = sns.lmplot(x='Adjusted_Budget', y='Profit_Margin', data=filtered_df, height=7, aspect=2)\n",
    "plt.xlabel('Adjusted Budget (Millions of Dollars)', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.ticklabel_format(axis='x', style='sci', scilimits=(6,6))\n",
    "plt.ylabel('Profit Margin', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.title('Adjusted Budget vs Profit Margin', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '25'})\n",
    "plt.savefig('BudgetVMargin', dpi=300);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>index</th>\n",
       "      <th>Year</th>\n",
       "      <th>IMDb</th>\n",
       "      <th>Runtime</th>\n",
       "      <th>Production Budget</th>\n",
       "      <th>Domestic Gross</th>\n",
       "      <th>Worldwide Gross</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Profit_Margin</th>\n",
       "      <th>Adjusted_Budget</th>\n",
       "      <th>Adjusted_Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>374.00</td>\n",
       "      <td>374.00</td>\n",
       "      <td>374.00</td>\n",
       "      <td>374.00</td>\n",
       "      <td>374.00</td>\n",
       "      <td>374.00</td>\n",
       "      <td>374.00</td>\n",
       "      <td>374.00</td>\n",
       "      <td>374.00</td>\n",
       "      <td>374.00</td>\n",
       "      <td>374.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>391.53</td>\n",
       "      <td>2004.97</td>\n",
       "      <td>7.01</td>\n",
       "      <td>118.60</td>\n",
       "      <td>77814178.13</td>\n",
       "      <td>193378841.67</td>\n",
       "      <td>484994903.63</td>\n",
       "      <td>407180725.50</td>\n",
       "      <td>0.83</td>\n",
       "      <td>105858522.51</td>\n",
       "      <td>562879114.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>378.20</td>\n",
       "      <td>10.81</td>\n",
       "      <td>0.90</td>\n",
       "      <td>24.02</td>\n",
       "      <td>57570152.51</td>\n",
       "      <td>127088965.57</td>\n",
       "      <td>377690264.14</td>\n",
       "      <td>329994078.69</td>\n",
       "      <td>0.05</td>\n",
       "      <td>66272237.80</td>\n",
       "      <td>413114307.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.00</td>\n",
       "      <td>1956.00</td>\n",
       "      <td>3.30</td>\n",
       "      <td>79.00</td>\n",
       "      <td>13500000.00</td>\n",
       "      <td>19019882.00</td>\n",
       "      <td>69995385.00</td>\n",
       "      <td>54995385.00</td>\n",
       "      <td>0.75</td>\n",
       "      <td>38685000.00</td>\n",
       "      <td>123209844.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>111.25</td>\n",
       "      <td>1998.00</td>\n",
       "      <td>6.40</td>\n",
       "      <td>100.00</td>\n",
       "      <td>35000000.00</td>\n",
       "      <td>106948347.75</td>\n",
       "      <td>217288435.75</td>\n",
       "      <td>176354400.25</td>\n",
       "      <td>0.78</td>\n",
       "      <td>53471100.00</td>\n",
       "      <td>274861614.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>279.50</td>\n",
       "      <td>2007.00</td>\n",
       "      <td>7.00</td>\n",
       "      <td>116.00</td>\n",
       "      <td>55000000.00</td>\n",
       "      <td>162801999.50</td>\n",
       "      <td>350937609.00</td>\n",
       "      <td>299062980.00</td>\n",
       "      <td>0.82</td>\n",
       "      <td>82249300.00</td>\n",
       "      <td>449229900.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>550.50</td>\n",
       "      <td>2014.00</td>\n",
       "      <td>7.70</td>\n",
       "      <td>131.75</td>\n",
       "      <td>100000000.00</td>\n",
       "      <td>242081446.50</td>\n",
       "      <td>636084264.50</td>\n",
       "      <td>513979301.75</td>\n",
       "      <td>0.87</td>\n",
       "      <td>139654600.00</td>\n",
       "      <td>719591073.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2424.00</td>\n",
       "      <td>2020.00</td>\n",
       "      <td>9.00</td>\n",
       "      <td>228.00</td>\n",
       "      <td>400000000.00</td>\n",
       "      <td>858373000.00</td>\n",
       "      <td>2797800564.00</td>\n",
       "      <td>2551701337.00</td>\n",
       "      <td>0.96</td>\n",
       "      <td>412880000.00</td>\n",
       "      <td>3495487532.34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        index    Year   IMDb  Runtime  Production Budget  Domestic Gross  \\\n",
       "count  374.00  374.00 374.00   374.00             374.00          374.00   \n",
       "mean   391.53 2004.97   7.01   118.60        77814178.13    193378841.67   \n",
       "std    378.20   10.81   0.90    24.02        57570152.51    127088965.57   \n",
       "min      0.00 1956.00   3.30    79.00        13500000.00     19019882.00   \n",
       "25%    111.25 1998.00   6.40   100.00        35000000.00    106948347.75   \n",
       "50%    279.50 2007.00   7.00   116.00        55000000.00    162801999.50   \n",
       "75%    550.50 2014.00   7.70   131.75       100000000.00    242081446.50   \n",
       "max   2424.00 2020.00   9.00   228.00       400000000.00    858373000.00   \n",
       "\n",
       "       Worldwide Gross        Profit  Profit_Margin  Adjusted_Budget  \\\n",
       "count           374.00        374.00         374.00           374.00   \n",
       "mean      484994903.63  407180725.50           0.83     105858522.51   \n",
       "std       377690264.14  329994078.69           0.05      66272237.80   \n",
       "min        69995385.00   54995385.00           0.75      38685000.00   \n",
       "25%       217288435.75  176354400.25           0.78      53471100.00   \n",
       "50%       350937609.00  299062980.00           0.82      82249300.00   \n",
       "75%       636084264.50  513979301.75           0.87     139654600.00   \n",
       "max      2797800564.00 2551701337.00           0.96     412880000.00   \n",
       "\n",
       "       Adjusted_Profit  \n",
       "count           374.00  \n",
       "mean      562879114.94  \n",
       "std       413114307.71  \n",
       "min       123209844.42  \n",
       "25%       274861614.08  \n",
       "50%       449229900.01  \n",
       "75%       719591073.46  \n",
       "max      3495487532.34  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtered_df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We examine the data in a scatter plot again to see if we can determine trends. Our data is much more spread out when comparing profit margin and budget.  The trend line in this plot is negative which cautions against spending too much money as we may potentially hurt our profit margin.  Looking at the filtered data, we have a median budget of $82,249,300 and a median profit margin of 81.9%.  \n",
    "\n",
    "**Question 1 Conclusion**: We recommend that our Company should budget approximately $82,250,000 to make a movie. This should correlate with a profit margin above 80%. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 2: Which movie genres are most commonly produced and does quantity equate to higher net profits?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create a genre table that separates each value in the genre column in their own rows.\n",
    "imdb_budgets_df['Genre'] = imdb_budgets_df['Genre'].str.split(', ')\n",
    "imdb_budgets_df1 = imdb_budgets_df['Genre'].apply(pd.Series)\n",
    "\n",
    "imdb_budgets_df2 = pd.merge(imdb_budgets_df, imdb_budgets_df1, right_index = True, left_index = True)\n",
    "\n",
    "imdb_budgets_df3 = imdb_budgets_df2.drop(['Genre'], axis = 1)\n",
    "\n",
    "genre_budgets_df = imdb_budgets_df3.melt(id_vars=['Movie', 'Year'], value_vars=[0, 1, 2] ,var_name = ['X'])\n",
    "genre_budgets_df = pd.merge(genre_budgets_df, imdb_budgets_df)\n",
    "genre_budgets_df = genre_budgets_df.drop(['Genre', 'X'], axis=1)\n",
    "genre_budgets_df = genre_budgets_df.drop_duplicates()\n",
    "genre_budgets_df = genre_budgets_df.rename(columns={'value': 'Genre'})\n",
    "genre_budgets_df = genre_budgets_df.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Do a count of all movies grouped by genre.\n",
    "m_by_genre = genre_budgets_df.groupby('Genre', as_index=False)['Movie'].count().sort_values(by='Movie', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>Genre</th>\n",
       "      <th>Movie</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Drama</td>\n",
       "      <td>1876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Comedy</td>\n",
       "      <td>1444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Action</td>\n",
       "      <td>1045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adventure</td>\n",
       "      <td>834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Crime</td>\n",
       "      <td>689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Romance</td>\n",
       "      <td>622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Thriller</td>\n",
       "      <td>615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Horror</td>\n",
       "      <td>410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Mystery</td>\n",
       "      <td>356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Fantasy</td>\n",
       "      <td>324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Biography</td>\n",
       "      <td>294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Family</td>\n",
       "      <td>265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Animation</td>\n",
       "      <td>205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>History</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Music</td>\n",
       "      <td>109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Sport</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>War</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Musical</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Western</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Film-Noir</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Genre  Movie\n",
       "6       Drama   1876\n",
       "4      Comedy   1444\n",
       "0      Action   1045\n",
       "1   Adventure    834\n",
       "5       Crime    689\n",
       "15    Romance    622\n",
       "18   Thriller    615\n",
       "11     Horror    410\n",
       "14    Mystery    356\n",
       "16     Sci-Fi    330\n",
       "8     Fantasy    324\n",
       "3   Biography    294\n",
       "7      Family    265\n",
       "2   Animation    205\n",
       "10    History    123\n",
       "12      Music    109\n",
       "17      Sport    100\n",
       "19        War     68\n",
       "13    Musical     39\n",
       "20    Western     32\n",
       "9   Film-Noir      6"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m_by_genre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot the above findings.\n",
    "plt.figure(figsize=(14,7))\n",
    "ax3 = sns.barplot(x=m_by_genre['Movie'], y=m_by_genre['Genre'], palette='GnBu_d')\n",
    "plt.xlabel('Movie Count', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.ylabel('Genre', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.title('Movie Count By Genre', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '25'})\n",
    "plt.savefig('CountGenre', dpi=300);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that drama, comedy, and action dominate the quantity of movie genres but does this necessarily mean these are the most profitable genres? In order to determine this we will once again group each genre but this time we are going to take a look at the average net profit for each."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Once again group the movies by genre, showing the average net profit and profit margin for each.\n",
    "p_by_genre = genre_budgets_df.groupby('Genre', as_index=False)[['Adjusted_Profit', 'Profit_Margin']].median().sort_values(by='Adjusted_Profit', ascending=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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>Genre</th>\n",
       "      <th>Adjusted_Profit</th>\n",
       "      <th>Profit_Margin</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Animation</td>\n",
       "      <td>203606574.36</td>\n",
       "      <td>0.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adventure</td>\n",
       "      <td>123795016.96</td>\n",
       "      <td>0.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>76199115.79</td>\n",
       "      <td>0.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Family</td>\n",
       "      <td>74621544.29</td>\n",
       "      <td>0.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Action</td>\n",
       "      <td>64332532.19</td>\n",
       "      <td>0.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Fantasy</td>\n",
       "      <td>54057582.24</td>\n",
       "      <td>0.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Thriller</td>\n",
       "      <td>47338952.53</td>\n",
       "      <td>0.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Musical</td>\n",
       "      <td>46631897.60</td>\n",
       "      <td>0.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Mystery</td>\n",
       "      <td>39634323.82</td>\n",
       "      <td>0.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Horror</td>\n",
       "      <td>38963349.12</td>\n",
       "      <td>0.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Comedy</td>\n",
       "      <td>33917454.39</td>\n",
       "      <td>0.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Romance</td>\n",
       "      <td>26739545.09</td>\n",
       "      <td>0.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>History</td>\n",
       "      <td>23435554.73</td>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Drama</td>\n",
       "      <td>23258412.08</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Music</td>\n",
       "      <td>22774962.29</td>\n",
       "      <td>0.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Crime</td>\n",
       "      <td>22752334.82</td>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Biography</td>\n",
       "      <td>21750633.96</td>\n",
       "      <td>0.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Film-Noir</td>\n",
       "      <td>18766783.04</td>\n",
       "      <td>0.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>War</td>\n",
       "      <td>18653512.63</td>\n",
       "      <td>0.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Sport</td>\n",
       "      <td>17950554.99</td>\n",
       "      <td>0.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Western</td>\n",
       "      <td>12037135.33</td>\n",
       "      <td>0.39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Genre  Adjusted_Profit  Profit_Margin\n",
       "2   Animation     203606574.36           0.68\n",
       "1   Adventure     123795016.96           0.61\n",
       "16     Sci-Fi      76199115.79           0.60\n",
       "7      Family      74621544.29           0.58\n",
       "0      Action      64332532.19           0.52\n",
       "8     Fantasy      54057582.24           0.54\n",
       "18   Thriller      47338952.53           0.60\n",
       "13    Musical      46631897.60           0.65\n",
       "14    Mystery      39634323.82           0.61\n",
       "11     Horror      38963349.12           0.67\n",
       "4      Comedy      33917454.39           0.55\n",
       "15    Romance      26739545.09           0.57\n",
       "10    History      23435554.73           0.40\n",
       "6       Drama      23258412.08           0.50\n",
       "12      Music      22774962.29           0.55\n",
       "5       Crime      22752334.82           0.40\n",
       "3   Biography      21750633.96           0.43\n",
       "9   Film-Noir      18766783.04           0.81\n",
       "19        War      18653512.63           0.37\n",
       "17      Sport      17950554.99           0.35\n",
       "20    Western      12037135.33           0.39"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p_by_genre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot the above findings.\n",
    "plt.figure(figsize=(14,7))\n",
    "ax4 = sns.barplot(x=p_by_genre['Adjusted_Profit'], y=p_by_genre['Genre'], palette='GnBu_d')\n",
    "plt.xlabel('Net Profit (Hundreds of Millions)', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.ylabel('Genre',fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.title('Net Profit By Genre', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '25'})\n",
    "plt.savefig('NetProfitGenre', dpi=300);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,7))\n",
    "ax5 = sns.barplot(x=p_by_genre['Profit_Margin'], y=p_by_genre['Genre'], palette='GnBu_d')\n",
    "plt.xlabel('Genre', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.ylabel('Profit Margin', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.title('Profit Margin By Genre', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '25'})\n",
    "plt.xlim(0.3, 0.85)\n",
    "plt.savefig('ProfitMarginGenre', dpi=300);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Interesting, although they are not the most commonly released genres; animation, adventure, and sci-fi typically have the most success in terms of median net profit. We can also see that Animation has a desirable profit margin along with horror and musicals. Note: although Film Noir leads with a .8+ profit margin this is based on 6 movies and has to be disregarded due to the small sample size. \n",
    "\n",
    "Lastly, of what percentage of the total net profit from all genres does each genre account?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "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>Genre</th>\n",
       "      <th>Adjusted_Profit</th>\n",
       "      <th>Percent Total of Net Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adventure</td>\n",
       "      <td>217335741708.40</td>\n",
       "      <td>18.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Action</td>\n",
       "      <td>178930045524.32</td>\n",
       "      <td>14.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Comedy</td>\n",
       "      <td>151922895671.69</td>\n",
       "      <td>12.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Drama</td>\n",
       "      <td>144990041873.71</td>\n",
       "      <td>12.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Sci-Fi</td>\n",
       "      <td>70465612908.78</td>\n",
       "      <td>5.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Animation</td>\n",
       "      <td>68720987812.40</td>\n",
       "      <td>5.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Thriller</td>\n",
       "      <td>65442236225.98</td>\n",
       "      <td>5.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Fantasy</td>\n",
       "      <td>54797139085.80</td>\n",
       "      <td>4.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Romance</td>\n",
       "      <td>50510744180.92</td>\n",
       "      <td>4.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Family</td>\n",
       "      <td>46040638020.14</td>\n",
       "      <td>3.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Crime</td>\n",
       "      <td>45194406614.69</td>\n",
       "      <td>3.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Mystery</td>\n",
       "      <td>29903244700.35</td>\n",
       "      <td>2.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Horror</td>\n",
       "      <td>28800384751.85</td>\n",
       "      <td>2.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Biography</td>\n",
       "      <td>16776660619.24</td>\n",
       "      <td>1.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>History</td>\n",
       "      <td>8429562660.69</td>\n",
       "      <td>0.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Music</td>\n",
       "      <td>7439929226.68</td>\n",
       "      <td>0.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Musical</td>\n",
       "      <td>5228065825.20</td>\n",
       "      <td>0.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Sport</td>\n",
       "      <td>4620549486.84</td>\n",
       "      <td>0.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>War</td>\n",
       "      <td>4619522490.02</td>\n",
       "      <td>0.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Western</td>\n",
       "      <td>2551516786.77</td>\n",
       "      <td>0.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Film-Noir</td>\n",
       "      <td>153313504.88</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Genre  Adjusted_Profit  Percent Total of Net Profit\n",
       "1   Adventure  217335741708.40                        18.07\n",
       "0      Action  178930045524.32                        14.88\n",
       "4      Comedy  151922895671.69                        12.63\n",
       "6       Drama  144990041873.71                        12.05\n",
       "16     Sci-Fi   70465612908.78                         5.86\n",
       "2   Animation   68720987812.40                         5.71\n",
       "18   Thriller   65442236225.98                         5.44\n",
       "8     Fantasy   54797139085.80                         4.56\n",
       "15    Romance   50510744180.92                         4.20\n",
       "7      Family   46040638020.14                         3.83\n",
       "5       Crime   45194406614.69                         3.76\n",
       "14    Mystery   29903244700.35                         2.49\n",
       "11     Horror   28800384751.85                         2.39\n",
       "3   Biography   16776660619.24                         1.39\n",
       "10    History    8429562660.69                         0.70\n",
       "12      Music    7439929226.68                         0.62\n",
       "13    Musical    5228065825.20                         0.43\n",
       "17      Sport    4620549486.84                         0.38\n",
       "19        War    4619522490.02                         0.38\n",
       "20    Western    2551516786.77                         0.21\n",
       "9   Film-Noir     153313504.88                         0.01"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Grouped by genre, find the percent total of the net profit for each.\n",
    "per_by_genre = genre_budgets_df.groupby(['Genre'],  as_index=False)['Adjusted_Profit'].sum().sort_values(by='Adjusted_Profit', ascending=False)\n",
    "per_by_genre['Percent Total of Net Profit'] = (per_by_genre['Adjusted_Profit']/per_by_genre['Adjusted_Profit'].sum()*100).round(2)\n",
    "per_by_genre"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot the above findings.\n",
    "plt.figure(figsize=(14,7))\n",
    "ax6 = sns.barplot(x=per_by_genre['Percent Total of Net Profit'], y=per_by_genre['Genre'], palette='GnBu_d')\n",
    "plt.xlabel('Percent Total of Net Profit', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.ylabel('Genre', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.title('Percent of Net Profit By Genre', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '25'})\n",
    "plt.savefig('PercentProfitGenre');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can see that adventure, action, comedy and drama make up the lionshare of the overall net profits from all movies. However, from our recent observations we know there are also major opportunities in the animation and sci-fi markets due to lower saturation but high average net profits. We will soon determine which genres are most successful during which months.\n",
    "\n",
    "**Question 2 Conclusion**: We recommend that our Company should focus their efforts on the top 6 most profitable movie genres: Adventure, Action, Comedy, Drama, Sci-Fi and Animation. A further recommendation to focus on Sci-Fi and Animation due to less competition and a higher opportunity to profit."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 3: What is the best time of the year to release a movie?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Convert the Release Date field to type datetime.\n",
    "imdb_budgets_df['Release Date'] = pd.to_datetime(imdb_budgets_df['Release Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Add a new column called month, displaying only the month from the release date.\n",
    "dateData =  [x.strftime('%B') for x in imdb_budgets_df['Release Date']]\n",
    "imdb_budgets_df['Month'] = dateData"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's first start by determing which months see the most movie releases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "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>Month</th>\n",
       "      <th>Movie</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>December</td>\n",
       "      <td>452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>October</td>\n",
       "      <td>424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>November</td>\n",
       "      <td>366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>September</td>\n",
       "      <td>358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>August</td>\n",
       "      <td>346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>June</td>\n",
       "      <td>327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>July</td>\n",
       "      <td>296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>March</td>\n",
       "      <td>270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>May</td>\n",
       "      <td>241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>April</td>\n",
       "      <td>238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>February</td>\n",
       "      <td>236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>January</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Month  Movie\n",
       "2    December    452\n",
       "10    October    424\n",
       "9    November    366\n",
       "11  September    358\n",
       "1      August    346\n",
       "6        June    327\n",
       "5        July    296\n",
       "7       March    270\n",
       "8         May    241\n",
       "0       April    238\n",
       "3    February    236\n",
       "4     January    186"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Count the total number of movies and group by month.\n",
    "m_by_month = imdb_budgets_df.groupby(['Month'], as_index=False)['Movie'].count().sort_values(by='Movie', ascending=False)\n",
    "m_by_month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot the above findings in order by month.\n",
    "plt.figure(figsize=(14,7))\n",
    "ax7 = sns.countplot(x=imdb_budgets_df['Month'], palette='Greens',\n",
    "                   order=['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'])\n",
    "plt.xlabel('Month', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.ylabel('Count', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.title('Count of Movie Release By Month', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '25'})\n",
    "plt.savefig('CountbyMonth', dpi=300);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see Decemeber and October lead the way in terms of sheer quantity of movies but does this suggest a higher level of profitability? Next we will look into the average net income by movie for each month."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "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>Month</th>\n",
       "      <th>Adjusted_Profit</th>\n",
       "      <th>Profit_Margin</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>June</td>\n",
       "      <td>80327640.00</td>\n",
       "      <td>0.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>May</td>\n",
       "      <td>79372161.65</td>\n",
       "      <td>0.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>July</td>\n",
       "      <td>74716618.14</td>\n",
       "      <td>0.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>December</td>\n",
       "      <td>56823086.46</td>\n",
       "      <td>0.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>November</td>\n",
       "      <td>47476647.51</td>\n",
       "      <td>0.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>February</td>\n",
       "      <td>41089454.38</td>\n",
       "      <td>0.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>March</td>\n",
       "      <td>33645813.78</td>\n",
       "      <td>0.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>April</td>\n",
       "      <td>31435638.57</td>\n",
       "      <td>0.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>January</td>\n",
       "      <td>31132342.98</td>\n",
       "      <td>0.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>August</td>\n",
       "      <td>25383311.33</td>\n",
       "      <td>0.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>September</td>\n",
       "      <td>16430952.78</td>\n",
       "      <td>0.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>October</td>\n",
       "      <td>15579534.04</td>\n",
       "      <td>0.46</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Month  Adjusted_Profit  Profit_Margin\n",
       "6        June      80327640.00           0.64\n",
       "8         May      79372161.65           0.64\n",
       "5        July      74716618.14           0.64\n",
       "2    December      56823086.46           0.59\n",
       "9    November      47476647.51           0.57\n",
       "3    February      41089454.38           0.56\n",
       "7       March      33645813.78           0.51\n",
       "0       April      31435638.57           0.54\n",
       "4     January      31132342.98           0.56\n",
       "1      August      25383311.33           0.52\n",
       "11  September      16430952.78           0.41\n",
       "10    October      15579534.04           0.46"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Once again group the movies by month, showing the average net profit for each.\n",
    "p_by_month = imdb_budgets_df.groupby('Month', as_index=False)[['Adjusted_Profit', 'Profit_Margin']].median().sort_values(by='Adjusted_Profit', ascending=False)\n",
    "p_by_month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot your above findings in order by month.\n",
    "plt.figure(figsize=(14,7))\n",
    "ax8 = sns.barplot(x=p_by_month['Month'], y=p_by_month['Adjusted_Profit'], palette='Greens', \n",
    "                  order=['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'])\n",
    "plt.xlabel('Month', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.ylabel('Net Profit (Tens of Million)', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.title('Net Profit By Release Month', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '25'})\n",
    "plt.savefig('ProfitbyMonth', dpi=300);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,7))\n",
    "ax9 = sns.barplot(x=p_by_month['Month'], y=p_by_month['Profit_Margin'], palette='Greens', \n",
    "                  order=['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'])\n",
    "plt.xlabel('Month', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.ylabel('Profit Margin', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.title('Profit Margin By Release Month', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '25'})\n",
    "plt.ylim(0.3, 0.7)\n",
    "plt.savefig('MarginByMonth', dpi=300);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Interestingly, May, June and July shoot to the top in terms of both median net profit and profit margin. It appears that the summer months tend to result in greater success, perhaps as a result of an influx of children and their parents during summer break. Now as previously mentioned, let's dig a little further and see which genre tends to do the best in which month."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Convert the Release Date field to type datetime\n",
    "#Add a new column called month, displaying only the month from the release date.\n",
    "genre_budgets_df['Release Date'] = pd.to_datetime(genre_budgets_df['Release Date'])\n",
    "genreDate =  [x.strftime('%B') for x in genre_budgets_df['Release Date']]\n",
    "genre_budgets_df['Month'] = genreDate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create a new table called month_genre consisting of Genre, Month, Net Profit, and Release Date\n",
    "month_genre = genre_budgets_df[['Genre', 'Month', 'Adjusted_Profit', 'Release Date']]\n",
    "#Group by Genre and Month, displaying the average Net Profit for each combination.\n",
    "month_genre = month_genre.groupby(['Genre', 'Month'], as_index=False)['Adjusted_Profit'].mean().sort_values(by='Adjusted_Profit', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Slice the top six most profitable genres from above.\n",
    "Adventure_df = month_genre.loc[month_genre['Genre'].str.contains('Adventure')]\n",
    "Action_df = month_genre.loc[month_genre['Genre'].str.contains('Action')]\n",
    "Comedy_df = month_genre.loc[month_genre['Genre'].str.contains('Comedy')]\n",
    "Drama_df = month_genre.loc[month_genre['Genre'].str.contains('Drama')]\n",
    "Scifi_df = month_genre.loc[month_genre['Genre'].str.contains('Sci-Fi')]\n",
    "Animation_df = month_genre.loc[month_genre['Genre'].str.contains('Animation')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Concatenate the six new tables into one new table.\n",
    "genre_concat = [Adventure_df, Action_df, Comedy_df, Drama_df, Scifi_df, Animation_df]\n",
    "month_genre_df = pd.concat(genre_concat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create a table of the months in order.\n",
    "months_in_order = ['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December']\n",
    "#Create a pivot table of month_genre_df, use the month_in_order table to reindex the pivot table.\n",
    "month_genre_pivoted = month_genre_df.pivot(index='Month', columns='Genre', values='Adjusted_Profit').reindex(months_in_order)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "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>Genre</th>\n",
       "      <th>Action</th>\n",
       "      <th>Adventure</th>\n",
       "      <th>Animation</th>\n",
       "      <th>Comedy</th>\n",
       "      <th>Drama</th>\n",
       "      <th>Sci-Fi</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Month</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>January</th>\n",
       "      <td>67911226.86</td>\n",
       "      <td>101480251.68</td>\n",
       "      <td>254304586.21</td>\n",
       "      <td>70321717.64</td>\n",
       "      <td>43539017.01</td>\n",
       "      <td>86131136.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>February</th>\n",
       "      <td>107741220.58</td>\n",
       "      <td>149172991.22</td>\n",
       "      <td>273699863.40</td>\n",
       "      <td>78129901.96</td>\n",
       "      <td>63807537.49</td>\n",
       "      <td>123463145.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>March</th>\n",
       "      <td>127548996.11</td>\n",
       "      <td>200474749.59</td>\n",
       "      <td>240295152.35</td>\n",
       "      <td>81411129.63</td>\n",
       "      <td>52348133.09</td>\n",
       "      <td>171335731.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>April</th>\n",
       "      <td>259392394.58</td>\n",
       "      <td>371426341.09</td>\n",
       "      <td>135514583.52</td>\n",
       "      <td>50050513.61</td>\n",
       "      <td>77199294.63</td>\n",
       "      <td>400992743.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>May</th>\n",
       "      <td>300431780.23</td>\n",
       "      <td>376946029.72</td>\n",
       "      <td>587476204.76</td>\n",
       "      <td>187839907.64</td>\n",
       "      <td>96590740.22</td>\n",
       "      <td>381838680.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>June</th>\n",
       "      <td>265101499.32</td>\n",
       "      <td>392963586.66</td>\n",
       "      <td>587763663.68</td>\n",
       "      <td>175416615.42</td>\n",
       "      <td>112382070.55</td>\n",
       "      <td>366873462.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>July</th>\n",
       "      <td>257293527.76</td>\n",
       "      <td>280812330.30</td>\n",
       "      <td>325184250.83</td>\n",
       "      <td>140927144.14</td>\n",
       "      <td>119198995.62</td>\n",
       "      <td>262513716.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>August</th>\n",
       "      <td>78993517.46</td>\n",
       "      <td>81128041.19</td>\n",
       "      <td>108115881.94</td>\n",
       "      <td>52702618.10</td>\n",
       "      <td>65637106.34</td>\n",
       "      <td>80812011.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>September</th>\n",
       "      <td>52980175.19</td>\n",
       "      <td>93388465.69</td>\n",
       "      <td>153847514.52</td>\n",
       "      <td>53288686.20</td>\n",
       "      <td>40194497.00</td>\n",
       "      <td>110804792.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>October</th>\n",
       "      <td>124257794.43</td>\n",
       "      <td>169896169.96</td>\n",
       "      <td>249582645.96</td>\n",
       "      <td>46177500.88</td>\n",
       "      <td>42992650.53</td>\n",
       "      <td>100120506.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>November</th>\n",
       "      <td>139749410.88</td>\n",
       "      <td>303503861.24</td>\n",
       "      <td>354381890.29</td>\n",
       "      <td>165340406.04</td>\n",
       "      <td>87265604.53</td>\n",
       "      <td>210336333.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>December</th>\n",
       "      <td>235113158.91</td>\n",
       "      <td>295732977.48</td>\n",
       "      <td>202553251.30</td>\n",
       "      <td>128699177.32</td>\n",
       "      <td>117758948.19</td>\n",
       "      <td>113695722.89</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Genre           Action    Adventure    Animation       Comedy        Drama  \\\n",
       "Month                                                                        \n",
       "January    67911226.86 101480251.68 254304586.21  70321717.64  43539017.01   \n",
       "February  107741220.58 149172991.22 273699863.40  78129901.96  63807537.49   \n",
       "March     127548996.11 200474749.59 240295152.35  81411129.63  52348133.09   \n",
       "April     259392394.58 371426341.09 135514583.52  50050513.61  77199294.63   \n",
       "May       300431780.23 376946029.72 587476204.76 187839907.64  96590740.22   \n",
       "June      265101499.32 392963586.66 587763663.68 175416615.42 112382070.55   \n",
       "July      257293527.76 280812330.30 325184250.83 140927144.14 119198995.62   \n",
       "August     78993517.46  81128041.19 108115881.94  52702618.10  65637106.34   \n",
       "September  52980175.19  93388465.69 153847514.52  53288686.20  40194497.00   \n",
       "October   124257794.43 169896169.96 249582645.96  46177500.88  42992650.53   \n",
       "November  139749410.88 303503861.24 354381890.29 165340406.04  87265604.53   \n",
       "December  235113158.91 295732977.48 202553251.30 128699177.32 117758948.19   \n",
       "\n",
       "Genre           Sci-Fi  \n",
       "Month                   \n",
       "January    86131136.28  \n",
       "February  123463145.04  \n",
       "March     171335731.24  \n",
       "April     400992743.36  \n",
       "May       381838680.03  \n",
       "June      366873462.47  \n",
       "July      262513716.23  \n",
       "August     80812011.13  \n",
       "September 110804792.63  \n",
       "October   100120506.83  \n",
       "November  210336333.85  \n",
       "December  113695722.89  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "month_genre_pivoted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1584x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Visualize the top 6 most profitable genre's by month\n",
    "ax10 = month_genre_pivoted.plot(kind='line', figsize=(22, 10), rot=0)\n",
    "plt.legend(labelcolor='grey', loc='best', prop={'size': 15})\n",
    "plt.xlabel('Month', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.ylabel('Net Profit(In Hundreds of Millions)', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.title('Net Profit by Month by Genre', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '25'})\n",
    "plt.xticks(fontsize=15, rotation=45)\n",
    "plt.savefig('ProfitbyMonthbyGenre', dpi=300);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that each genre follows the same basic pattern, with the summer months proving to be the most profitable time to release a movie. Some further analysis shows that releasing an animation movie in particular during the summer months will have the greatest potential for high net profits. On the other hand drama, although fluctuates slightly with the months, tends to have no impact based on release date. When considering what aspects go into creating a successful movie, it's clear that one must take take into account the impact of a well timed release date.\n",
    "\n",
    "**Question 3 Conclusion**: We recommend that our Company release the bulk of their movies, especially Animation, during the summer months. Adventure, Drama and Comedy movies would see similar success if released in November, but the recommendation remains to focus on summer."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 4: Now that we've got a better understanding of what attributes to a successful movie, which actors and directors tend to add the most value?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this section we are going to take a look at the average net profit across all movies. From there we want to determine which actors and directors consistently appear in movies where the net profit substantially exceeds the average. We will represent this in a field called Value Above Replacement(VAR). To further simplify this concept; if across all movies the average net profit is 100 dollars and the average net profit of movies from 'Actor: X' is 200 dollars he/she would have a VAR of 2. This number represents X times over the average. To eliminate outliers we will look at actors who appear in 10 or more movies and directors who work in 5 or more."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Similar to the imdb_budget_df table let's start by adjusting for inflation.\n",
    "actors_df['Production Budget'] = (((2020-actors_df['Year'])*.0322)+1)*actors_df['Production Budget']\n",
    "actors_df['Worldwide Gross'] = (((2020-actors_df['Year'])*.0322)+1)*actors_df['Worldwide Gross']\n",
    "actors_df['Domestic Gross'] = (((2020-actors_df['Year'])*.0322)+1)*actors_df['Domestic Gross']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Calculate Net Profit and Profit Margin\n",
    "actors_df['Net Profit'] = actors_df['Worldwide Gross'] - actors_df['Production Budget']\n",
    "actors_df['Profit Margin'] = actors_df['Net Profit'] / actors_df['Worldwide Gross']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Let's filter the actors_df table to only include actors that appeared in 10 or more movies\n",
    "actor_counts = actors_df['value'].value_counts()\n",
    "actor_list = actor_counts[actor_counts >= 10].index.tolist()\n",
    "actors_df = actors_df[actors_df['value'].isin(actor_list)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Calculate VAR, which is the average Net Profit by actor divided by average Net Profit for all movies.\n",
    "actor_total = actors_df.groupby(['value'],  as_index=False)['Net Profit'].mean().sort_values(by='Net Profit', ascending=False)\n",
    "actor_total['VAR'] = (actor_total['Net Profit']/actor_total['Net Profit'].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "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>value</th>\n",
       "      <th>Net Profit</th>\n",
       "      <th>VAR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>Ian McKellen</td>\n",
       "      <td>642641141.05</td>\n",
       "      <td>4.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Emma Watson</td>\n",
       "      <td>594070330.59</td>\n",
       "      <td>4.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Chris Hemsworth</td>\n",
       "      <td>550993070.74</td>\n",
       "      <td>3.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Chris Evans</td>\n",
       "      <td>518397913.83</td>\n",
       "      <td>3.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>Robert Downey Jr.</td>\n",
       "      <td>484884995.15</td>\n",
       "      <td>3.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Elijah Wood</td>\n",
       "      <td>468414890.65</td>\n",
       "      <td>3.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>Mike Myers</td>\n",
       "      <td>451615981.41</td>\n",
       "      <td>3.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>Zoe Saldana</td>\n",
       "      <td>418413981.69</td>\n",
       "      <td>2.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>Mark Ruffalo</td>\n",
       "      <td>418051684.80</td>\n",
       "      <td>2.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>Josh Hutcherson</td>\n",
       "      <td>389946768.85</td>\n",
       "      <td>2.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>Leonardo DiCaprio</td>\n",
       "      <td>347929775.33</td>\n",
       "      <td>2.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>Josh Duhamel</td>\n",
       "      <td>347668686.44</td>\n",
       "      <td>2.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>Kathy Bates</td>\n",
       "      <td>347201332.37</td>\n",
       "      <td>2.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>Will Smith</td>\n",
       "      <td>336002549.53</td>\n",
       "      <td>2.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>Jennifer Lawrence</td>\n",
       "      <td>334744177.49</td>\n",
       "      <td>2.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>Tom Hanks</td>\n",
       "      <td>320791739.32</td>\n",
       "      <td>2.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>Shia LaBeouf</td>\n",
       "      <td>320522135.54</td>\n",
       "      <td>2.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Chiwetel Ejiofor</td>\n",
       "      <td>311862722.21</td>\n",
       "      <td>2.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>Vin Diesel</td>\n",
       "      <td>309819051.08</td>\n",
       "      <td>2.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Dwayne Johnson</td>\n",
       "      <td>308538514.10</td>\n",
       "      <td>2.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>Helena Bonham Carter</td>\n",
       "      <td>301712229.56</td>\n",
       "      <td>2.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>Tim Allen</td>\n",
       "      <td>298679367.49</td>\n",
       "      <td>2.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Cameron Diaz</td>\n",
       "      <td>295720384.55</td>\n",
       "      <td>2.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>Tom Cruise</td>\n",
       "      <td>287290600.79</td>\n",
       "      <td>2.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Anne Hathaway</td>\n",
       "      <td>286762937.70</td>\n",
       "      <td>2.04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    value   Net Profit  VAR\n",
       "113          Ian McKellen 642641141.05 4.56\n",
       "88            Emma Watson 594070330.59 4.22\n",
       "48        Chris Hemsworth 550993070.74 3.91\n",
       "47            Chris Evans 518397913.83 3.68\n",
       "262     Robert Downey Jr. 484884995.15 3.44\n",
       "82            Elijah Wood 468414890.65 3.33\n",
       "227            Mike Myers 451615981.41 3.21\n",
       "324           Zoe Saldana 418413981.69 2.97\n",
       "205          Mark Ruffalo 418051684.80 2.97\n",
       "166       Josh Hutcherson 389946768.85 2.77\n",
       "197     Leonardo DiCaprio 347929775.33 2.47\n",
       "164          Josh Duhamel 347668686.44 2.47\n",
       "178           Kathy Bates 347201332.37 2.47\n",
       "316            Will Smith 336002549.53 2.39\n",
       "138     Jennifer Lawrence 334744177.49 2.38\n",
       "299             Tom Hanks 320791739.32 2.28\n",
       "285          Shia LaBeouf 320522135.54 2.28\n",
       "45       Chiwetel Ejiofor 311862722.21 2.21\n",
       "308            Vin Diesel 309819051.08 2.20\n",
       "78         Dwayne Johnson 308538514.10 2.19\n",
       "108  Helena Bonham Carter 301712229.56 2.14\n",
       "296             Tim Allen 298679367.49 2.12\n",
       "36           Cameron Diaz 295720384.55 2.10\n",
       "298            Tom Cruise 287290600.79 2.04\n",
       "13          Anne Hathaway 286762937.70 2.04"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create new table consisting of top 25 actors by VAR.\n",
    "top_actors = actor_total.head(25)\n",
    "top_actors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot above finding and label the average of 1 with a black line.\n",
    "plt.figure(figsize=(14,7))\n",
    "ax11 = sns.barplot(x=top_actors['VAR'], y=top_actors['value'])\n",
    "plt.axvline(1, ls='--', color='black', linewidth=3)\n",
    "plt.xlabel('VAR', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.ylabel('Actor', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.title('VAR By Actor Compared to Average', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '25'})\n",
    "plt.savefig('VARActor', dpi=300);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Wow, from this list we can see that all of these actors consistently appear in very profitable movies; anywhere from two times the norm to four and a half times the norm. When casting a movie this is a good short-list from where to start making calls."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Adjust directors table for inflation.\n",
    "directors_df['Production Budget'] = (((2020-directors_df['Year'])*.0322)+1)*directors_df['Production Budget']\n",
    "directors_df['Worldwide Gross'] = (((2020-directors_df['Year'])*.0322)+1)*directors_df['Worldwide Gross']\n",
    "directors_df['Domestic Gross'] = (((2020-directors_df['Year'])*.0322)+1)*directors_df['Domestic Gross']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Calucalte Net Profit and Profit Margin.\n",
    "directors_df['Net Profit'] = directors_df['Worldwide Gross'] - directors_df['Production Budget']\n",
    "directors_df['Profit Margin'] = directors_df['Net Profit'] / directors_df['Worldwide Gross']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Let's filter the actors_df table to only include actors that appeared in 5 or more movies.\n",
    "director_counts = directors_df['value'].value_counts()\n",
    "director_list = director_counts[director_counts >= 5].index.tolist()\n",
    "directors_df = directors_df[directors_df['value'].isin(director_list)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Calculate VAR, which is the average Net Profit by director divided by average Net Profit for all movies.\n",
    "director_total = directors_df.groupby(['value'],  as_index=False)['Net Profit'].mean().sort_values(by='Net Profit', ascending=False)\n",
    "director_total['VAR'] = (director_total['Net Profit']/actor_total['Net Profit'].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "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>value</th>\n",
       "      <th>Net Profit</th>\n",
       "      <th>VAR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>James Cameron</td>\n",
       "      <td>1244750157.55</td>\n",
       "      <td>8.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Anthony Russo</td>\n",
       "      <td>1017389415.62</td>\n",
       "      <td>7.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Joe Russo</td>\n",
       "      <td>1017389415.62</td>\n",
       "      <td>7.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>Lee Unkrich</td>\n",
       "      <td>912067911.25</td>\n",
       "      <td>6.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>Peter Jackson</td>\n",
       "      <td>821878024.53</td>\n",
       "      <td>5.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>David Yates</td>\n",
       "      <td>688135205.04</td>\n",
       "      <td>4.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Jon Favreau</td>\n",
       "      <td>628704113.52</td>\n",
       "      <td>4.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>Michael Bay</td>\n",
       "      <td>588804626.49</td>\n",
       "      <td>4.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>John Lasseter</td>\n",
       "      <td>577254528.66</td>\n",
       "      <td>4.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Christopher Nolan</td>\n",
       "      <td>576508914.30</td>\n",
       "      <td>4.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>Tom McGrath</td>\n",
       "      <td>558026757.25</td>\n",
       "      <td>3.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Carlos Saldanha</td>\n",
       "      <td>542327603.19</td>\n",
       "      <td>3.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Conrad Vernon</td>\n",
       "      <td>533554799.18</td>\n",
       "      <td>3.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Brad Bird</td>\n",
       "      <td>522918604.82</td>\n",
       "      <td>3.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>James Wan</td>\n",
       "      <td>517843475.89</td>\n",
       "      <td>3.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Eric Darnell</td>\n",
       "      <td>506570978.60</td>\n",
       "      <td>3.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>Steven Spielberg</td>\n",
       "      <td>490403244.69</td>\n",
       "      <td>3.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>Wilfred Jackson</td>\n",
       "      <td>473675805.64</td>\n",
       "      <td>3.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>Rob Minkoff</td>\n",
       "      <td>453631830.01</td>\n",
       "      <td>3.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Francis Lawrence</td>\n",
       "      <td>439117499.61</td>\n",
       "      <td>3.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Chris Columbus</td>\n",
       "      <td>434315443.48</td>\n",
       "      <td>3.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>Ron Clements</td>\n",
       "      <td>396185896.16</td>\n",
       "      <td>2.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>John Musker</td>\n",
       "      <td>396185896.16</td>\n",
       "      <td>2.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>Roland Emmerich</td>\n",
       "      <td>391218701.44</td>\n",
       "      <td>2.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>Sam Raimi</td>\n",
       "      <td>364101893.22</td>\n",
       "      <td>2.59</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 value    Net Profit  VAR\n",
       "78       James Cameron 1244750157.55 8.84\n",
       "11       Anthony Russo 1017389415.62 7.22\n",
       "89           Joe Russo 1017389415.62 7.22\n",
       "115        Lee Unkrich  912067911.25 6.48\n",
       "148      Peter Jackson  821878024.53 5.84\n",
       "50         David Yates  688135205.04 4.89\n",
       "104        Jon Favreau  628704113.52 4.46\n",
       "129        Michael Bay  588804626.49 4.18\n",
       "96       John Lasseter  577254528.66 4.10\n",
       "31   Christopher Nolan  576508914.30 4.09\n",
       "194        Tom McGrath  558026757.25 3.96\n",
       "27     Carlos Saldanha  542327603.19 3.85\n",
       "34       Conrad Vernon  533554799.18 3.79\n",
       "19           Brad Bird  522918604.82 3.71\n",
       "82           James Wan  517843475.89 3.68\n",
       "58        Eric Darnell  506570978.60 3.60\n",
       "188   Steven Spielberg  490403244.69 3.48\n",
       "200    Wilfred Jackson  473675805.64 3.36\n",
       "160        Rob Minkoff  453631830.01 3.22\n",
       "62    Francis Lawrence  439117499.61 3.12\n",
       "29      Chris Columbus  434315443.48 3.08\n",
       "171       Ron Clements  396185896.16 2.81\n",
       "101        John Musker  396185896.16 2.81\n",
       "169    Roland Emmerich  391218701.44 2.78\n",
       "175          Sam Raimi  364101893.22 2.59"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create new table consisting of top 25 directors by VAR.\n",
    "top_directors = director_total.head(25)\n",
    "top_directors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot above finding and label the average of 1 with a black line.\n",
    "plt.figure(figsize=(14,7))\n",
    "ax12 = sns.barplot(x=top_directors['VAR'], y=top_directors['value'])\n",
    "plt.axvline(1, ls='--', color='black', linewidth=3)\n",
    "plt.xlabel('VAR', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.ylabel('Director', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.title('VAR By Director Compared to Average', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '25'})\n",
    "plt.savefig('VARDirector', dpi=300);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It appears that the most significant value added comes from the directors chair. James Cameron movies on average make almost nine times the amount of the average movie, this emphasizes what great leadership represents on a set. If we wanted to further investigate which actors and directors make the most impact it would be important to determine which genre of movies they appear in most.\n",
    "\n",
    "**Question 4 Conclusion**: We recommend that our Comapany focus their cast and crew search to individuals who consistently score at least 1.0 on the VAR score. We can, with a high level of confidence, conclude that these individuals will elevate the overall production."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 5: How much should you spend on a movie to win an Oscar?\n",
    "\n",
    "In order to answer this question we'll first need to join the `imdb_budgets_df` dataframe and the `awards_df` dataframe.  As there may be movies with duplicate titles, we set the indices of both dataframes to the movie name and year so that matching data is correctly joined."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "imdb_budgets_df.set_index(['Movie','Year'], inplace=True)\n",
    "awards_df.set_index(['film_name', 'film_year'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "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></th>\n",
       "      <th>IMDb</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Runtime</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Release Date</th>\n",
       "      <th>Production Budget</th>\n",
       "      <th>Domestic Gross</th>\n",
       "      <th>Worldwide Gross</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Profit_Margin</th>\n",
       "      <th>Adjusted_Budget</th>\n",
       "      <th>Adjusted_Profit</th>\n",
       "      <th>Month</th>\n",
       "      <th>awards_won</th>\n",
       "      <th>awards_nominated</th>\n",
       "      <th>win_rate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Movie</th>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Avatar</th>\n",
       "      <th>2009</th>\n",
       "      <td>7.80</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>162</td>\n",
       "      <td>[Action, Adventure, Fantasy]</td>\n",
       "      <td>2009-12-17</td>\n",
       "      <td>237000000</td>\n",
       "      <td>760507625</td>\n",
       "      <td>2788701337</td>\n",
       "      <td>2551701337</td>\n",
       "      <td>0.92</td>\n",
       "      <td>320945400.00</td>\n",
       "      <td>3455513950.57</td>\n",
       "      <td>December</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>0.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black Panther</th>\n",
       "      <th>2018</th>\n",
       "      <td>7.30</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>134</td>\n",
       "      <td>[Action, Adventure, Sci-Fi]</td>\n",
       "      <td>2018-02-13</td>\n",
       "      <td>200000000</td>\n",
       "      <td>700059566</td>\n",
       "      <td>1346103376</td>\n",
       "      <td>1146103376</td>\n",
       "      <td>0.85</td>\n",
       "      <td>212880000.00</td>\n",
       "      <td>1219912433.41</td>\n",
       "      <td>February</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>0.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Titanic</th>\n",
       "      <th>1997</th>\n",
       "      <td>7.80</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>194</td>\n",
       "      <td>[Drama, Romance]</td>\n",
       "      <td>1997-12-18</td>\n",
       "      <td>200000000</td>\n",
       "      <td>659363944</td>\n",
       "      <td>2208208395</td>\n",
       "      <td>2008208395</td>\n",
       "      <td>0.91</td>\n",
       "      <td>348120000.00</td>\n",
       "      <td>3495487532.34</td>\n",
       "      <td>December</td>\n",
       "      <td>11</td>\n",
       "      <td>14</td>\n",
       "      <td>0.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Dark Knight</th>\n",
       "      <th>2008</th>\n",
       "      <td>9.00</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>152</td>\n",
       "      <td>[Action, Crime, Drama]</td>\n",
       "      <td>2008-07-11</td>\n",
       "      <td>185000000</td>\n",
       "      <td>533720947</td>\n",
       "      <td>1000742751</td>\n",
       "      <td>815742751</td>\n",
       "      <td>0.82</td>\n",
       "      <td>256484000.00</td>\n",
       "      <td>1130945749.99</td>\n",
       "      <td>July</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Toy Story 4</th>\n",
       "      <th>2019</th>\n",
       "      <td>7.80</td>\n",
       "      <td>G</td>\n",
       "      <td>100</td>\n",
       "      <td>[Animation, Adventure, Comedy]</td>\n",
       "      <td>2019-06-20</td>\n",
       "      <td>200000000</td>\n",
       "      <td>434038008</td>\n",
       "      <td>1073394813</td>\n",
       "      <td>873394813</td>\n",
       "      <td>0.81</td>\n",
       "      <td>206440000.00</td>\n",
       "      <td>901518125.98</td>\n",
       "      <td>June</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      IMDb Rating  Runtime                           Genre  \\\n",
       "Movie           Year                                                         \n",
       "Avatar          2009  7.80  PG-13      162    [Action, Adventure, Fantasy]   \n",
       "Black Panther   2018  7.30  PG-13      134     [Action, Adventure, Sci-Fi]   \n",
       "Titanic         1997  7.80  PG-13      194                [Drama, Romance]   \n",
       "The Dark Knight 2008  9.00  PG-13      152          [Action, Crime, Drama]   \n",
       "Toy Story 4     2019  7.80      G      100  [Animation, Adventure, Comedy]   \n",
       "\n",
       "                     Release Date  Production Budget  Domestic Gross  \\\n",
       "Movie           Year                                                   \n",
       "Avatar          2009   2009-12-17          237000000       760507625   \n",
       "Black Panther   2018   2018-02-13          200000000       700059566   \n",
       "Titanic         1997   1997-12-18          200000000       659363944   \n",
       "The Dark Knight 2008   2008-07-11          185000000       533720947   \n",
       "Toy Story 4     2019   2019-06-20          200000000       434038008   \n",
       "\n",
       "                      Worldwide Gross      Profit  Profit_Margin  \\\n",
       "Movie           Year                                               \n",
       "Avatar          2009       2788701337  2551701337           0.92   \n",
       "Black Panther   2018       1346103376  1146103376           0.85   \n",
       "Titanic         1997       2208208395  2008208395           0.91   \n",
       "The Dark Knight 2008       1000742751   815742751           0.82   \n",
       "Toy Story 4     2019       1073394813   873394813           0.81   \n",
       "\n",
       "                      Adjusted_Budget  Adjusted_Profit     Month  awards_won  \\\n",
       "Movie           Year                                                           \n",
       "Avatar          2009     320945400.00    3455513950.57  December           3   \n",
       "Black Panther   2018     212880000.00    1219912433.41  February           3   \n",
       "Titanic         1997     348120000.00    3495487532.34  December          11   \n",
       "The Dark Knight 2008     256484000.00    1130945749.99      July           2   \n",
       "Toy Story 4     2019     206440000.00     901518125.98      June           1   \n",
       "\n",
       "                      awards_nominated  win_rate  \n",
       "Movie           Year                              \n",
       "Avatar          2009                 9      0.33  \n",
       "Black Panther   2018                 7      0.43  \n",
       "Titanic         1997                14      0.79  \n",
       "The Dark Knight 2008                 8      0.25  \n",
       "Toy Story 4     2019                 2      0.50  "
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "budgets_and_awards = imdb_budgets_df.join(awards_df, how='inner', on=['Movie', 'Year'])\n",
    "budgets_and_awards.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We've successfully joined the two dataframes. Let's filter the dataframe to include movies where the profit is greater than 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "nominated_movies_df = budgets_and_awards.loc[budgets_and_awards['Profit'] > 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,6))\n",
    "sns.boxplot(x='Adjusted_Budget', data=nominated_movies_df, showfliers=False, color='powderblue')\n",
    "sns.stripplot(x='Adjusted_Budget', data=nominated_movies_df)\n",
    "plt.ticklabel_format(axis='x', style='sci', scilimits=(6,6))\n",
    "plt.xticks(fontsize=12)\n",
    "plt.xlabel('Movie Budgets Adjusted for Inflation (Millions of Dollars)', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'});\n",
    "plt.title('Distribution of Movie Budgets for Profitable Oscar Nominated Movies', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '25'})\n",
    "plt.savefig('Oscar_Nominated', dpi=300);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count         331.00\n",
       "mean     66479336.13\n",
       "std      72497186.73\n",
       "min        212790.00\n",
       "25%      15425660.00\n",
       "50%      37816500.00\n",
       "75%      93598000.00\n",
       "max     348300000.00\n",
       "Name: Adjusted_Budget, dtype: float64"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nominated_movies_df['Adjusted_Budget'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By looking at the distribution of movie budgets we see that the majority of data is clustered in an area below $100 million dollars.\n",
    "\n",
    "We need to take this a step further as the above distribution includes movies that were nominated and won awards as well as movies that did not win awards. In order to properly answer our question we must win an Oscar.\n",
    "\n",
    "We could filter by win rate and exclude those movies that did not win anything, however our data would still include movies that were nominated in a single category and won. This would skew the win rate as there would be several movies with a win rate of 100%.  Let's take a look at the mean and median win rate to establish a threshold for award nominations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count   330.00\n",
       "mean      0.45\n",
       "std       0.28\n",
       "min       0.00\n",
       "25%       0.25\n",
       "50%       0.39\n",
       "75%       0.60\n",
       "max       1.00\n",
       "Name: win_rate, dtype: float64"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nominated_movies_df['win_rate'].describe()\n",
    "#Let's be conservative for win rate and use the median win rate\n",
    "#That means we would need to be nominated for at least 3 awards in order to win 1 award."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The mean win rate is 44.8% but as we mentioned is skewed by those movies with only 1 nomination. The median win rate is 39.2% which should be less skewed by the data and is a more conservative number. Using the median win rate of 39.2%, our movie would need to be nominated for at least 3 awards in order to get at least one win. 3 nominations will be the cutoff."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "263\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nominated_over_three = nominated_movies_df.loc[nominated_movies_df['awards_nominated'] >= 3]\n",
    "print(len(nominated_over_three))\n",
    "plt.figure(figsize=(16,6))\n",
    "sns.boxplot(x=nominated_over_three['Adjusted_Budget'], showfliers=False, color='powderblue')\n",
    "sns.stripplot(x='Adjusted_Budget', data=nominated_over_three)\n",
    "plt.ticklabel_format(axis='x', style='sci', scilimits=(6,6))\n",
    "plt.xticks(fontsize=12)\n",
    "plt.xlabel('Movie Budgets Adjusted for Inflation (Millions of Dollars)', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.title('Distribution of Movie Budgets for Movies With At Least 3 Nominations', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.savefig('3_Nominations', dpi=300);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count         263.00\n",
       "mean     62404651.14\n",
       "std      69126844.12\n",
       "min       1224990.00\n",
       "25%      15482900.00\n",
       "50%      35465000.00\n",
       "75%      78132000.00\n",
       "max     348120000.00\n",
       "Name: Adjusted_Budget, dtype: float64"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nominated_over_three['Adjusted_Budget'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It's important to note that the box plot of the `nominated_over_three` dataframe has shrunk! This means that our filter has decreased our interquartile range for the movie budget.  Since this range is smaller there should be less variability in the middle of the data set. Since we have adjusted budgets that are extreme outliers, it is best to use the median as the primary measure of central tendency. The median adjusted budget for this data is \\\\$35,465,000. \n",
    " \n",
    "**Question 5 Conclusion**: Our Company should spend at least $35,465,000 in order to make an Oscar-winning movie.\n",
    "\n",
    "*It is also worth noting that the 75th percentile of the adjusted budget for movies with at least three nominations is $78,132,000. This is close to our recommendation of a \\\\$82 million budget for a profitable movie with a profit margin of approximately 80%.*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 6: What impact, if any, does runtime and movie rating have on Net Profit, Profit Margin and IMDb rating?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's first start by analyzing the ratings. We want to include only movies rated G, PG, PG-13 or R."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "rating_counts = imdb_budgets_df['Rating'].value_counts()\n",
    "rating_list = rating_counts[rating_counts >= 50].index.tolist()\n",
    "rating_df = imdb_budgets_df[imdb_budgets_df['Rating'].isin(rating_list)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "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>Movie</th>\n",
       "      <th>Year</th>\n",
       "      <th>IMDb</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Runtime</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Release Date</th>\n",
       "      <th>Production Budget</th>\n",
       "      <th>Domestic Gross</th>\n",
       "      <th>Worldwide Gross</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Profit_Margin</th>\n",
       "      <th>Adjusted_Budget</th>\n",
       "      <th>Adjusted_Profit</th>\n",
       "      <th>Month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Avengers: Endgame</td>\n",
       "      <td>2019</td>\n",
       "      <td>8.40</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>181</td>\n",
       "      <td>[Action, Adventure, Drama]</td>\n",
       "      <td>2019-04-23</td>\n",
       "      <td>400000000</td>\n",
       "      <td>858373000</td>\n",
       "      <td>2797800564</td>\n",
       "      <td>2397800564</td>\n",
       "      <td>0.86</td>\n",
       "      <td>412880000.00</td>\n",
       "      <td>2475009742.16</td>\n",
       "      <td>April</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Avatar</td>\n",
       "      <td>2009</td>\n",
       "      <td>7.80</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>162</td>\n",
       "      <td>[Action, Adventure, Fantasy]</td>\n",
       "      <td>2009-12-17</td>\n",
       "      <td>237000000</td>\n",
       "      <td>760507625</td>\n",
       "      <td>2788701337</td>\n",
       "      <td>2551701337</td>\n",
       "      <td>0.92</td>\n",
       "      <td>320945400.00</td>\n",
       "      <td>3455513950.57</td>\n",
       "      <td>December</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Black Panther</td>\n",
       "      <td>2018</td>\n",
       "      <td>7.30</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>134</td>\n",
       "      <td>[Action, Adventure, Sci-Fi]</td>\n",
       "      <td>2018-02-13</td>\n",
       "      <td>200000000</td>\n",
       "      <td>700059566</td>\n",
       "      <td>1346103376</td>\n",
       "      <td>1146103376</td>\n",
       "      <td>0.85</td>\n",
       "      <td>212880000.00</td>\n",
       "      <td>1219912433.41</td>\n",
       "      <td>February</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Avengers: Infinity War</td>\n",
       "      <td>2018</td>\n",
       "      <td>8.40</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>149</td>\n",
       "      <td>[Action, Adventure, Sci-Fi]</td>\n",
       "      <td>2018-04-25</td>\n",
       "      <td>300000000</td>\n",
       "      <td>678815482</td>\n",
       "      <td>2048359754</td>\n",
       "      <td>1748359754</td>\n",
       "      <td>0.85</td>\n",
       "      <td>319320000.00</td>\n",
       "      <td>1860954122.16</td>\n",
       "      <td>April</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Titanic</td>\n",
       "      <td>1997</td>\n",
       "      <td>7.80</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>194</td>\n",
       "      <td>[Drama, Romance]</td>\n",
       "      <td>1997-12-18</td>\n",
       "      <td>200000000</td>\n",
       "      <td>659363944</td>\n",
       "      <td>2208208395</td>\n",
       "      <td>2008208395</td>\n",
       "      <td>0.91</td>\n",
       "      <td>348120000.00</td>\n",
       "      <td>3495487532.34</td>\n",
       "      <td>December</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Movie  Year  IMDb Rating  Runtime  \\\n",
       "0       Avengers: Endgame  2019  8.40  PG-13      181   \n",
       "1                  Avatar  2009  7.80  PG-13      162   \n",
       "2           Black Panther  2018  7.30  PG-13      134   \n",
       "3  Avengers: Infinity War  2018  8.40  PG-13      149   \n",
       "4                 Titanic  1997  7.80  PG-13      194   \n",
       "\n",
       "                          Genre Release Date  Production Budget  \\\n",
       "0    [Action, Adventure, Drama]   2019-04-23          400000000   \n",
       "1  [Action, Adventure, Fantasy]   2009-12-17          237000000   \n",
       "2   [Action, Adventure, Sci-Fi]   2018-02-13          200000000   \n",
       "3   [Action, Adventure, Sci-Fi]   2018-04-25          300000000   \n",
       "4              [Drama, Romance]   1997-12-18          200000000   \n",
       "\n",
       "   Domestic Gross  Worldwide Gross      Profit  Profit_Margin  \\\n",
       "0       858373000       2797800564  2397800564           0.86   \n",
       "1       760507625       2788701337  2551701337           0.92   \n",
       "2       700059566       1346103376  1146103376           0.85   \n",
       "3       678815482       2048359754  1748359754           0.85   \n",
       "4       659363944       2208208395  2008208395           0.91   \n",
       "\n",
       "   Adjusted_Budget  Adjusted_Profit     Month  \n",
       "0     412880000.00    2475009742.16     April  \n",
       "1     320945400.00    3455513950.57  December  \n",
       "2     212880000.00    1219912433.41  February  \n",
       "3     319320000.00    1860954122.16     April  \n",
       "4     348120000.00    3495487532.34  December  "
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rating_df = rating_df.reset_index()\n",
    "rating_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rating</th>\n",
       "      <th>Movie</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R</td>\n",
       "      <td>1631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PG-13</td>\n",
       "      <td>1339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PG</td>\n",
       "      <td>590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>G</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Rating  Movie\n",
       "3      R   1631\n",
       "2  PG-13   1339\n",
       "1     PG    590\n",
       "0      G     93"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Count the total number of movies and group by month.\n",
    "rating_count = rating_df.groupby(['Rating'], as_index=False)['Movie'].count().sort_values(by='Movie', ascending=False)\n",
    "rating_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rating</th>\n",
       "      <th>Adjusted_Profit</th>\n",
       "      <th>Profit_Margin</th>\n",
       "      <th>IMDb</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>G</td>\n",
       "      <td>154376810.04</td>\n",
       "      <td>0.76</td>\n",
       "      <td>7.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PG</td>\n",
       "      <td>75404192.25</td>\n",
       "      <td>0.62</td>\n",
       "      <td>6.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PG-13</td>\n",
       "      <td>49565772.61</td>\n",
       "      <td>0.55</td>\n",
       "      <td>6.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R</td>\n",
       "      <td>20402474.98</td>\n",
       "      <td>0.51</td>\n",
       "      <td>6.60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Rating  Adjusted_Profit  Profit_Margin  IMDb\n",
       "0      G     154376810.04           0.76  7.10\n",
       "1     PG      75404192.25           0.62  6.50\n",
       "2  PG-13      49565772.61           0.55  6.30\n",
       "3      R      20402474.98           0.51  6.60"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Group by Rating let's determine which has the highest median net profit and profit margin.\n",
    "rating_df2 = rating_df.groupby(['Rating'], as_index=False)[['Adjusted_Profit', 'Profit_Margin', 'IMDb']].median().sort_values(by='Adjusted_Profit', ascending=False)\n",
    "rating_df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot your above findings\n",
    "plt.figure(figsize=(14,7))\n",
    "ax13 = sns.boxplot( y=rating_df[\"Rating\"], x=rating_df[\"Adjusted_Profit\"], showfliers=False, palette='Blues')\n",
    "plt.xlabel('Average Net Profit (Hundreds of Millions)', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.ylabel('Movie Ratings', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.title('Net Profit By Rating', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '25'})\n",
    "plt.savefig('ProfitbyRating', dpi=300);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see, G and PG rated movies tend to perform best and account for the smallest market share. This, like the animation genre, is another opportunity to enter the market in a highly profitable arena with fewer competitors. It would be interesting to see a breakdown of total net profit by genre by rating to get a better idea of which rating and genres go best together."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "# First drop the rating column from genre_budgets_df and genre from rating_df\n",
    "genre_rating_df = genre_budgets_df.drop(['Rating'], axis=1)\n",
    "rating_df = rating_df.drop(['Genre'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Merge the genre_rating_df table and rating_df table\n",
    "genre_rating_df = pd.merge(genre_rating_df, rating_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Slice the top six most profitable genres.\n",
    "Adv_df = genre_rating_df.loc[genre_rating_df['Genre'].str.contains('Adventure')]\n",
    "Act_df = genre_rating_df.loc[genre_rating_df['Genre'].str.contains('Action')]\n",
    "Com_df = genre_rating_df.loc[genre_rating_df['Genre'].str.contains('Comedy')]\n",
    "Dra_df = genre_rating_df.loc[genre_rating_df['Genre'].str.contains('Drama')]\n",
    "Sci_df = genre_rating_df.loc[genre_rating_df['Genre'].str.contains('Sci-Fi')]\n",
    "Ani_df = genre_rating_df.loc[genre_rating_df['Genre'].str.contains('Animation')]\n",
    "\n",
    "genre_concat = [Adv_df, Act_df, Com_df, Dra_df, Sci_df, Ani_df]\n",
    "genre_rating = pd.concat(genre_concat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a pivot table from genre_rating\n",
    "gr_df = genre_rating.groupby(['Genre', 'Rating'],  as_index=False)['Adjusted_Profit'].sum().sort_values(by='Adjusted_Profit', ascending=False)\n",
    "gr_pivoted = gr_df.pivot(index='Genre', columns='Rating', values='Adjusted_Profit')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "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>Rating</th>\n",
       "      <th>G</th>\n",
       "      <th>PG</th>\n",
       "      <th>PG-13</th>\n",
       "      <th>R</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Genre</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Action</th>\n",
       "      <td>476713962.52</td>\n",
       "      <td>24806502581.61</td>\n",
       "      <td>118476527154.35</td>\n",
       "      <td>34527820240.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adventure</th>\n",
       "      <td>17497561206.41</td>\n",
       "      <td>74656830471.14</td>\n",
       "      <td>114180501731.83</td>\n",
       "      <td>10663312187.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Animation</th>\n",
       "      <td>20451774875.23</td>\n",
       "      <td>46792514260.78</td>\n",
       "      <td>682637577.33</td>\n",
       "      <td>120368587.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Comedy</th>\n",
       "      <td>14989898831.46</td>\n",
       "      <td>61733858474.80</td>\n",
       "      <td>44722618139.99</td>\n",
       "      <td>30095649966.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drama</th>\n",
       "      <td>6452247472.37</td>\n",
       "      <td>19785801203.02</td>\n",
       "      <td>64695667306.22</td>\n",
       "      <td>50557666303.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sci-Fi</th>\n",
       "      <td>575199818.94</td>\n",
       "      <td>4693467863.02</td>\n",
       "      <td>54045363674.82</td>\n",
       "      <td>11072810424.26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Rating                 G             PG           PG-13              R\n",
       "Genre                                                                 \n",
       "Action      476713962.52 24806502581.61 118476527154.35 34527820240.94\n",
       "Adventure 17497561206.41 74656830471.14 114180501731.83 10663312187.82\n",
       "Animation 20451774875.23 46792514260.78    682637577.33   120368587.97\n",
       "Comedy    14989898831.46 61733858474.80  44722618139.99 30095649966.62\n",
       "Drama      6452247472.37 19785801203.02  64695667306.22 50557666303.54\n",
       "Sci-Fi      575199818.94  4693467863.02  54045363674.82 11072810424.26"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Preview the table.\n",
    "gr_pivoted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the above findings.\n",
    "ax14 = gr_pivoted.plot(kind='bar', stacked=True, figsize=(14,7))\n",
    "plt.legend(labelcolor='grey', prop={'size': 16})\n",
    "plt.xlabel('Genre', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.ylabel('Net Profit(Hundreds of Billions)', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.title('Net Profit By Genre By Rating', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '25'})\n",
    "plt.xticks(fontsize=15, rotation=45)\n",
    "plt.savefig('ProfitbyGenrebyRating');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As one could have probably guessed, animation is almost entirely made up of G and PG rated movies. We can see that for most other genres, the bulk of their total net profits come from PG-13 rated movies. From this we can focus on which rating to aim for in each genre to evoke the most success.\n",
    "\n",
    "Now let's shift our focus to the film's runtime. Does movie length have an impact in terms of success?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "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></th>\n",
       "      <th>Runtime</th>\n",
       "      <th>Adjusted_Profit</th>\n",
       "      <th>Profit_Margin</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Movie</th>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Avengers: Endgame</th>\n",
       "      <th>2019</th>\n",
       "      <td>181</td>\n",
       "      <td>2475009742.16</td>\n",
       "      <td>0.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avatar</th>\n",
       "      <th>2009</th>\n",
       "      <td>162</td>\n",
       "      <td>3455513950.57</td>\n",
       "      <td>0.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Black Panther</th>\n",
       "      <th>2018</th>\n",
       "      <td>134</td>\n",
       "      <td>1219912433.41</td>\n",
       "      <td>0.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avengers: Infinity War</th>\n",
       "      <th>2018</th>\n",
       "      <td>149</td>\n",
       "      <td>1860954122.16</td>\n",
       "      <td>0.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Titanic</th>\n",
       "      <th>1997</th>\n",
       "      <td>194</td>\n",
       "      <td>3495487532.34</td>\n",
       "      <td>0.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Misfits</th>\n",
       "      <th>1961</th>\n",
       "      <td>125</td>\n",
       "      <td>12179160.00</td>\n",
       "      <td>0.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Judgment at Nuremberg</th>\n",
       "      <th>1961</th>\n",
       "      <td>179</td>\n",
       "      <td>20298600.00</td>\n",
       "      <td>0.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Wrong Man</th>\n",
       "      <th>1956</th>\n",
       "      <td>105</td>\n",
       "      <td>2448640.00</td>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Trouble with Harry</th>\n",
       "      <th>1955</th>\n",
       "      <td>99</td>\n",
       "      <td>17939400.00</td>\n",
       "      <td>0.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Niagara</th>\n",
       "      <th>1953</th>\n",
       "      <td>92</td>\n",
       "      <td>3946750.00</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3740 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Runtime  Adjusted_Profit  Profit_Margin\n",
       "Movie                  Year                                         \n",
       "Avengers: Endgame      2019      181    2475009742.16           0.86\n",
       "Avatar                 2009      162    3455513950.57           0.92\n",
       "Black Panther          2018      134    1219912433.41           0.85\n",
       "Avengers: Infinity War 2018      149    1860954122.16           0.85\n",
       "Titanic                1997      194    3495487532.34           0.91\n",
       "...                              ...              ...            ...\n",
       "The Misfits            1961      125      12179160.00           0.51\n",
       "Judgment at Nuremberg  1961      179      20298600.00           0.70\n",
       "The Wrong Man          1956      105       2448640.00           0.40\n",
       "The Trouble with Harry 1955       99      17939400.00           0.83\n",
       "Niagara                1953       92       3946750.00           0.50\n",
       "\n",
       "[3740 rows x 3 columns]"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a new table with runtime, net profit and profit margin.\n",
    "runtime_df = imdb_budgets_df[['Runtime', 'Adjusted_Profit', 'Profit_Margin']]\n",
    "runtime_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "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>Runtime</th>\n",
       "      <th>Adjusted_Profit</th>\n",
       "      <th>Profit_Margin</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Runtime</th>\n",
       "      <td>1.00</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adjusted_Profit</th>\n",
       "      <td>0.22</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Profit_Margin</th>\n",
       "      <td>0.05</td>\n",
       "      <td>0.05</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Runtime  Adjusted_Profit  Profit_Margin\n",
       "Runtime             1.00             0.22           0.05\n",
       "Adjusted_Profit     0.22             1.00           0.05\n",
       "Profit_Margin       0.05             0.05           1.00"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's start by taking a look at the correlation between runtime and net profit/profit margin.\n",
    "pearsoncorr = runtime_df.corr(method='pearson')\n",
    "pearsoncorr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the correlation.\n",
    "plt.figure(figsize=(14,7))\n",
    "ax15 = sns.regplot(x='Runtime', y='Adjusted_Profit', data=imdb_budgets_df)\n",
    "plt.xlabel('Movie Runtime', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.ylabel('Net Profit (In Billions)', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.title('Correlation Between Net Profit and Runtime', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '25'})\n",
    "plt.savefig('CorrProfitRuntime', dpi=300);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Although there is a small positive correlation of .223 showing that the long the runtime the higher the net profit, it's incredibly minute. With that in mind, we can take from this that, typically, it is not important to keep a movie above or below a cetain time threshold.\n",
    "\n",
    "**Question 6 Conclusion**: We recommend that our Company take into consideration the rating of the movie based on the genre and target audience. If making animation movies, it is wise to stick to a G or PG rating, otherwise PG-13 is the sweetspot. In terms of runtime, there is little correlation in terms of overall profitability."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 7: Sticking to our analysis of Net Profit and Profit Margin, what should our Company determine to be the baseline for sustainable success?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have an understanding of what goes into a successful movie but let's determine what our Comapny should expect in terms of profitability if they expect to compete with the other top movie studios."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "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>studio</th>\n",
       "      <th>domestic_gross</th>\n",
       "      <th>foreign_gross</th>\n",
       "      <th>year</th>\n",
       "      <th>IMDb</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Runtime</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Release Date</th>\n",
       "      <th>Production Budget</th>\n",
       "      <th>Domestic Gross</th>\n",
       "      <th>Worldwide Gross</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Profit_Margin</th>\n",
       "      <th>Adjusted_Budget</th>\n",
       "      <th>Adjusted_Profit</th>\n",
       "      <th>Month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Toy Story 3</td>\n",
       "      <td>Buena Vista</td>\n",
       "      <td>415000000.00</td>\n",
       "      <td>652000000</td>\n",
       "      <td>2010</td>\n",
       "      <td>8.30</td>\n",
       "      <td>G</td>\n",
       "      <td>103</td>\n",
       "      <td>[Animation, Adventure, Comedy]</td>\n",
       "      <td>2010-06-18</td>\n",
       "      <td>200000000</td>\n",
       "      <td>415004880</td>\n",
       "      <td>1068879522</td>\n",
       "      <td>868879522</td>\n",
       "      <td>0.81</td>\n",
       "      <td>264400000.00</td>\n",
       "      <td>1148658728.08</td>\n",
       "      <td>June</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Inception</td>\n",
       "      <td>WB</td>\n",
       "      <td>292600000.00</td>\n",
       "      <td>535700000</td>\n",
       "      <td>2010</td>\n",
       "      <td>8.80</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>148</td>\n",
       "      <td>[Action, Adventure, Sci-Fi]</td>\n",
       "      <td>2010-07-16</td>\n",
       "      <td>160000000</td>\n",
       "      <td>292576195</td>\n",
       "      <td>832551961</td>\n",
       "      <td>672551961</td>\n",
       "      <td>0.81</td>\n",
       "      <td>211520000.00</td>\n",
       "      <td>889113692.44</td>\n",
       "      <td>July</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shrek Forever After</td>\n",
       "      <td>Pixar/Dreamworks</td>\n",
       "      <td>238700000.00</td>\n",
       "      <td>513900000</td>\n",
       "      <td>2010</td>\n",
       "      <td>6.30</td>\n",
       "      <td>PG</td>\n",
       "      <td>93</td>\n",
       "      <td>[Animation, Adventure, Comedy]</td>\n",
       "      <td>2010-05-21</td>\n",
       "      <td>165000000</td>\n",
       "      <td>238736787</td>\n",
       "      <td>756244673</td>\n",
       "      <td>591244673</td>\n",
       "      <td>0.78</td>\n",
       "      <td>218130000.00</td>\n",
       "      <td>781625457.71</td>\n",
       "      <td>May</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>The Twilight Saga: Eclipse</td>\n",
       "      <td>Sumbadhat Productions</td>\n",
       "      <td>300500000.00</td>\n",
       "      <td>398000000</td>\n",
       "      <td>2010</td>\n",
       "      <td>5.00</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>124</td>\n",
       "      <td>[Adventure, Drama, Fantasy]</td>\n",
       "      <td>2010-06-30</td>\n",
       "      <td>68000000</td>\n",
       "      <td>300531751</td>\n",
       "      <td>706102828</td>\n",
       "      <td>638102828</td>\n",
       "      <td>0.90</td>\n",
       "      <td>89896000.00</td>\n",
       "      <td>843571938.62</td>\n",
       "      <td>June</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Iron Man 2</td>\n",
       "      <td>Paramount</td>\n",
       "      <td>312400000.00</td>\n",
       "      <td>311500000</td>\n",
       "      <td>2010</td>\n",
       "      <td>7.00</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>124</td>\n",
       "      <td>[Action, Adventure, Sci-Fi]</td>\n",
       "      <td>2010-05-07</td>\n",
       "      <td>170000000</td>\n",
       "      <td>312433331</td>\n",
       "      <td>621156389</td>\n",
       "      <td>451156389</td>\n",
       "      <td>0.73</td>\n",
       "      <td>224740000.00</td>\n",
       "      <td>596428746.26</td>\n",
       "      <td>May</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        title                 studio  domestic_gross  \\\n",
       "0                 Toy Story 3            Buena Vista    415000000.00   \n",
       "1                   Inception                     WB    292600000.00   \n",
       "2         Shrek Forever After       Pixar/Dreamworks    238700000.00   \n",
       "3  The Twilight Saga: Eclipse  Sumbadhat Productions    300500000.00   \n",
       "4                  Iron Man 2              Paramount    312400000.00   \n",
       "\n",
       "  foreign_gross  year  IMDb Rating  Runtime                           Genre  \\\n",
       "0     652000000  2010  8.30      G      103  [Animation, Adventure, Comedy]   \n",
       "1     535700000  2010  8.80  PG-13      148     [Action, Adventure, Sci-Fi]   \n",
       "2     513900000  2010  6.30     PG       93  [Animation, Adventure, Comedy]   \n",
       "3     398000000  2010  5.00  PG-13      124     [Adventure, Drama, Fantasy]   \n",
       "4     311500000  2010  7.00  PG-13      124     [Action, Adventure, Sci-Fi]   \n",
       "\n",
       "  Release Date  Production Budget  Domestic Gross  Worldwide Gross     Profit  \\\n",
       "0   2010-06-18          200000000       415004880       1068879522  868879522   \n",
       "1   2010-07-16          160000000       292576195        832551961  672551961   \n",
       "2   2010-05-21          165000000       238736787        756244673  591244673   \n",
       "3   2010-06-30           68000000       300531751        706102828  638102828   \n",
       "4   2010-05-07          170000000       312433331        621156389  451156389   \n",
       "\n",
       "   Profit_Margin  Adjusted_Budget  Adjusted_Profit Month  \n",
       "0           0.81     264400000.00    1148658728.08  June  \n",
       "1           0.81     211520000.00     889113692.44  July  \n",
       "2           0.78     218130000.00     781625457.71   May  \n",
       "3           0.90      89896000.00     843571938.62  June  \n",
       "4           0.73     224740000.00     596428746.26   May  "
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merge studio_df and imdb_budgets_df\n",
    "studiobudgets_df = pd.merge(studio_df, imdb_budgets_df, left_on = 'title', right_on='Movie') \n",
    "studiobudgets_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Studio</th>\n",
       "      <th>IMDb</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Runtime</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Release Date</th>\n",
       "      <th>Profit_Margin</th>\n",
       "      <th>Adjusted_Budget</th>\n",
       "      <th>Adjusted_Profit</th>\n",
       "      <th>Month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Buena Vista</td>\n",
       "      <td>8.3</td>\n",
       "      <td>G</td>\n",
       "      <td>103</td>\n",
       "      <td>[Animation, Adventure, Comedy]</td>\n",
       "      <td>2010-06-18</td>\n",
       "      <td>0.812888</td>\n",
       "      <td>264400000.0</td>\n",
       "      <td>1.148659e+09</td>\n",
       "      <td>June</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>WB</td>\n",
       "      <td>8.8</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>148</td>\n",
       "      <td>[Action, Adventure, Sci-Fi]</td>\n",
       "      <td>2010-07-16</td>\n",
       "      <td>0.807820</td>\n",
       "      <td>211520000.0</td>\n",
       "      <td>8.891137e+08</td>\n",
       "      <td>July</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Pixar/Dreamworks</td>\n",
       "      <td>6.3</td>\n",
       "      <td>PG</td>\n",
       "      <td>93</td>\n",
       "      <td>[Animation, Adventure, Comedy]</td>\n",
       "      <td>2010-05-21</td>\n",
       "      <td>0.781817</td>\n",
       "      <td>218130000.0</td>\n",
       "      <td>7.816255e+08</td>\n",
       "      <td>May</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sumbadhat Productions</td>\n",
       "      <td>5.0</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>124</td>\n",
       "      <td>[Adventure, Drama, Fantasy]</td>\n",
       "      <td>2010-06-30</td>\n",
       "      <td>0.903697</td>\n",
       "      <td>89896000.0</td>\n",
       "      <td>8.435719e+08</td>\n",
       "      <td>June</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Paramount</td>\n",
       "      <td>7.0</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>124</td>\n",
       "      <td>[Action, Adventure, Sci-Fi]</td>\n",
       "      <td>2010-05-07</td>\n",
       "      <td>0.726317</td>\n",
       "      <td>224740000.0</td>\n",
       "      <td>5.964287e+08</td>\n",
       "      <td>May</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Studio  IMDb Rating  Runtime  \\\n",
       "0            Buena Vista   8.3      G      103   \n",
       "1                     WB   8.8  PG-13      148   \n",
       "2       Pixar/Dreamworks   6.3     PG       93   \n",
       "3  Sumbadhat Productions   5.0  PG-13      124   \n",
       "4              Paramount   7.0  PG-13      124   \n",
       "\n",
       "                            Genre Release Date  Profit_Margin  \\\n",
       "0  [Animation, Adventure, Comedy]   2010-06-18       0.812888   \n",
       "1     [Action, Adventure, Sci-Fi]   2010-07-16       0.807820   \n",
       "2  [Animation, Adventure, Comedy]   2010-05-21       0.781817   \n",
       "3     [Adventure, Drama, Fantasy]   2010-06-30       0.903697   \n",
       "4     [Action, Adventure, Sci-Fi]   2010-05-07       0.726317   \n",
       "\n",
       "   Adjusted_Budget  Adjusted_Profit Month  \n",
       "0      264400000.0     1.148659e+09  June  \n",
       "1      211520000.0     8.891137e+08  July  \n",
       "2      218130000.0     7.816255e+08   May  \n",
       "3       89896000.0     8.435719e+08  June  \n",
       "4      224740000.0     5.964287e+08   May  "
      ]
     },
     "execution_count": 237,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's remove some unnecessary fields.\n",
    "studiobudgets_df.drop(columns = {'title', 'domestic_gross', 'Domestic Gross', 'foreign_gross', 'year', 'Production Budget', 'Worldwide Gross', 'Profit'}, inplace = True)\n",
    "studiobudgets_df.rename(columns = {'studio':'Studio','Worldwide Gross ':'Worldwide Gross' }, inplace = True) \n",
    "studiobudgets_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        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>Studio</th>\n",
       "      <th>IMDb</th>\n",
       "      <th>Runtime</th>\n",
       "      <th>Profit_Margin</th>\n",
       "      <th>Adjusted_Budget</th>\n",
       "      <th>Adjusted_Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>UTV</td>\n",
       "      <td>8.45</td>\n",
       "      <td>141.5</td>\n",
       "      <td>0.958798</td>\n",
       "      <td>33747300.0</td>\n",
       "      <td>6.921112e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Pixar/Dreamworks</td>\n",
       "      <td>6.70</td>\n",
       "      <td>94.0</td>\n",
       "      <td>0.716170</td>\n",
       "      <td>182352000.0</td>\n",
       "      <td>4.921191e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Buena Vista</td>\n",
       "      <td>7.10</td>\n",
       "      <td>117.0</td>\n",
       "      <td>0.667056</td>\n",
       "      <td>176565000.0</td>\n",
       "      <td>1.928538e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>MBox</td>\n",
       "      <td>7.80</td>\n",
       "      <td>158.0</td>\n",
       "      <td>0.624019</td>\n",
       "      <td>116082000.0</td>\n",
       "      <td>1.926625e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Strand</td>\n",
       "      <td>6.50</td>\n",
       "      <td>112.0</td>\n",
       "      <td>0.741792</td>\n",
       "      <td>50796000.0</td>\n",
       "      <td>1.459292e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Sony</td>\n",
       "      <td>6.30</td>\n",
       "      <td>105.0</td>\n",
       "      <td>0.658692</td>\n",
       "      <td>65796000.0</td>\n",
       "      <td>1.296401e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Paramount</td>\n",
       "      <td>6.40</td>\n",
       "      <td>110.0</td>\n",
       "      <td>0.639187</td>\n",
       "      <td>53053600.0</td>\n",
       "      <td>1.270562e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Fox</td>\n",
       "      <td>6.35</td>\n",
       "      <td>106.0</td>\n",
       "      <td>0.644465</td>\n",
       "      <td>65785200.0</td>\n",
       "      <td>1.171804e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Universal</td>\n",
       "      <td>6.20</td>\n",
       "      <td>108.0</td>\n",
       "      <td>0.686945</td>\n",
       "      <td>47728000.0</td>\n",
       "      <td>1.081619e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>WB</td>\n",
       "      <td>6.60</td>\n",
       "      <td>113.5</td>\n",
       "      <td>0.542261</td>\n",
       "      <td>66914000.0</td>\n",
       "      <td>8.010906e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Eros International</td>\n",
       "      <td>7.10</td>\n",
       "      <td>160.0</td>\n",
       "      <td>0.836702</td>\n",
       "      <td>10170820.0</td>\n",
       "      <td>5.211316e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Wein/Dimension</td>\n",
       "      <td>5.90</td>\n",
       "      <td>96.0</td>\n",
       "      <td>0.750298</td>\n",
       "      <td>27474000.0</td>\n",
       "      <td>5.093755e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Screen Gems</td>\n",
       "      <td>5.80</td>\n",
       "      <td>103.0</td>\n",
       "      <td>0.698444</td>\n",
       "      <td>30121600.0</td>\n",
       "      <td>5.004866e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Lionsgate/Summit Entertainment</td>\n",
       "      <td>6.55</td>\n",
       "      <td>110.0</td>\n",
       "      <td>0.606561</td>\n",
       "      <td>44584000.0</td>\n",
       "      <td>4.695959e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Neon</td>\n",
       "      <td>7.50</td>\n",
       "      <td>119.0</td>\n",
       "      <td>0.795529</td>\n",
       "      <td>12062600.0</td>\n",
       "      <td>4.693164e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Sony Pictures</td>\n",
       "      <td>6.70</td>\n",
       "      <td>112.0</td>\n",
       "      <td>0.664717</td>\n",
       "      <td>26847000.0</td>\n",
       "      <td>4.222879e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Lionsgate</td>\n",
       "      <td>6.15</td>\n",
       "      <td>103.5</td>\n",
       "      <td>0.601290</td>\n",
       "      <td>32376500.0</td>\n",
       "      <td>3.662573e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Sumbadhat Productions</td>\n",
       "      <td>6.60</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.446140</td>\n",
       "      <td>41273600.0</td>\n",
       "      <td>3.615531e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Focus Features</td>\n",
       "      <td>6.90</td>\n",
       "      <td>108.0</td>\n",
       "      <td>0.484553</td>\n",
       "      <td>20121600.0</td>\n",
       "      <td>3.370892e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Weinstein Company</td>\n",
       "      <td>7.20</td>\n",
       "      <td>106.5</td>\n",
       "      <td>0.694665</td>\n",
       "      <td>18381000.0</td>\n",
       "      <td>3.362412e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>STX</td>\n",
       "      <td>6.40</td>\n",
       "      <td>104.0</td>\n",
       "      <td>0.528697</td>\n",
       "      <td>32898000.0</td>\n",
       "      <td>3.331053e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Relativity Media</td>\n",
       "      <td>6.25</td>\n",
       "      <td>105.5</td>\n",
       "      <td>0.506080</td>\n",
       "      <td>33053600.0</td>\n",
       "      <td>2.923035e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>CBS</td>\n",
       "      <td>6.60</td>\n",
       "      <td>102.0</td>\n",
       "      <td>0.591352</td>\n",
       "      <td>21926600.0</td>\n",
       "      <td>2.688925e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>7.90</td>\n",
       "      <td>101.0</td>\n",
       "      <td>0.891707</td>\n",
       "      <td>2822000.0</td>\n",
       "      <td>2.323702e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Sony Pictures Classics</td>\n",
       "      <td>7.20</td>\n",
       "      <td>109.0</td>\n",
       "      <td>0.600112</td>\n",
       "      <td>8041120.0</td>\n",
       "      <td>1.587142e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Studio  IMDb  Runtime  Profit_Margin  \\\n",
       "51                             UTV  8.45    141.5       0.958798   \n",
       "37                Pixar/Dreamworks  6.70     94.0       0.716170   \n",
       "9                      Buena Vista  7.10    117.0       0.667056   \n",
       "28                            MBox  7.80    158.0       0.624019   \n",
       "48                          Strand  6.50    112.0       0.741792   \n",
       "45                            Sony  6.30    105.0       0.658692   \n",
       "35                       Paramount  6.40    110.0       0.639187   \n",
       "20                             Fox  6.35    106.0       0.644465   \n",
       "52                       Universal  6.20    108.0       0.686945   \n",
       "54                              WB  6.60    113.5       0.542261   \n",
       "15              Eros International  7.10    160.0       0.836702   \n",
       "55                  Wein/Dimension  5.90     96.0       0.750298   \n",
       "44                     Screen Gems  5.80    103.0       0.698444   \n",
       "27  Lionsgate/Summit Entertainment  6.55    110.0       0.606561   \n",
       "32                            Neon  7.50    119.0       0.795529   \n",
       "46                   Sony Pictures  6.70    112.0       0.664717   \n",
       "25                       Lionsgate  6.15    103.5       0.601290   \n",
       "49           Sumbadhat Productions  6.60    100.0       0.446140   \n",
       "19                  Focus Features  6.90    108.0       0.484553   \n",
       "56               Weinstein Company  7.20    106.5       0.694665   \n",
       "43                             STX  6.40    104.0       0.528697   \n",
       "40                Relativity Media  6.25    105.5       0.506080   \n",
       "10                             CBS  6.60    102.0       0.591352   \n",
       "50                     The Orchard  7.90    101.0       0.891707   \n",
       "47          Sony Pictures Classics  7.20    109.0       0.600112   \n",
       "\n",
       "    Adjusted_Budget  Adjusted_Profit  \n",
       "51       33747300.0     6.921112e+08  \n",
       "37      182352000.0     4.921191e+08  \n",
       "9       176565000.0     1.928538e+08  \n",
       "28      116082000.0     1.926625e+08  \n",
       "48       50796000.0     1.459292e+08  \n",
       "45       65796000.0     1.296401e+08  \n",
       "35       53053600.0     1.270562e+08  \n",
       "20       65785200.0     1.171804e+08  \n",
       "52       47728000.0     1.081619e+08  \n",
       "54       66914000.0     8.010906e+07  \n",
       "15       10170820.0     5.211316e+07  \n",
       "55       27474000.0     5.093755e+07  \n",
       "44       30121600.0     5.004866e+07  \n",
       "27       44584000.0     4.695959e+07  \n",
       "32       12062600.0     4.693164e+07  \n",
       "46       26847000.0     4.222879e+07  \n",
       "25       32376500.0     3.662573e+07  \n",
       "49       41273600.0     3.615531e+07  \n",
       "19       20121600.0     3.370892e+07  \n",
       "56       18381000.0     3.362412e+07  \n",
       "43       32898000.0     3.331053e+07  \n",
       "40       33053600.0     2.923035e+07  \n",
       "10       21926600.0     2.688925e+07  \n",
       "50        2822000.0     2.323702e+07  \n",
       "47        8041120.0     1.587142e+07  "
      ]
     },
     "execution_count": 254,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Group by studio, find median and filter to top 25 by Adjusted Profit\n",
    "profit_by_studiodf = studiobudgets_df.groupby('Studio').median()\n",
    "profit_by_studiodf = profit_by_studiodf.reset_index()                                        \n",
    "profit_by_studiodf = profit_by_studiodf.nlargest(25, 'Adjusted_Profit')\n",
    "profit_by_studiodf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>IMDb</th>\n",
       "      <th>Runtime</th>\n",
       "      <th>Profit_Margin</th>\n",
       "      <th>Adjusted_Budget</th>\n",
       "      <th>Adjusted_Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>25.00000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>2.500000e+01</td>\n",
       "      <td>2.500000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>6.76600</td>\n",
       "      <td>112.180000</td>\n",
       "      <td>0.663049</td>\n",
       "      <td>4.883893e+07</td>\n",
       "      <td>1.134278e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.64108</td>\n",
       "      <td>16.751169</td>\n",
       "      <td>0.122761</td>\n",
       "      <td>4.612474e+07</td>\n",
       "      <td>1.557719e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>5.80000</td>\n",
       "      <td>94.000000</td>\n",
       "      <td>0.446140</td>\n",
       "      <td>2.822000e+06</td>\n",
       "      <td>1.587142e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>6.35000</td>\n",
       "      <td>103.500000</td>\n",
       "      <td>0.600112</td>\n",
       "      <td>2.192660e+07</td>\n",
       "      <td>3.370892e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.60000</td>\n",
       "      <td>108.000000</td>\n",
       "      <td>0.658692</td>\n",
       "      <td>3.305360e+07</td>\n",
       "      <td>5.004866e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7.10000</td>\n",
       "      <td>112.000000</td>\n",
       "      <td>0.716170</td>\n",
       "      <td>5.305360e+07</td>\n",
       "      <td>1.270562e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.45000</td>\n",
       "      <td>160.000000</td>\n",
       "      <td>0.958798</td>\n",
       "      <td>1.823520e+08</td>\n",
       "      <td>6.921112e+08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           IMDb     Runtime  Profit_Margin  Adjusted_Budget  Adjusted_Profit\n",
       "count  25.00000   25.000000      25.000000     2.500000e+01     2.500000e+01\n",
       "mean    6.76600  112.180000       0.663049     4.883893e+07     1.134278e+08\n",
       "std     0.64108   16.751169       0.122761     4.612474e+07     1.557719e+08\n",
       "min     5.80000   94.000000       0.446140     2.822000e+06     1.587142e+07\n",
       "25%     6.35000  103.500000       0.600112     2.192660e+07     3.370892e+07\n",
       "50%     6.60000  108.000000       0.658692     3.305360e+07     5.004866e+07\n",
       "75%     7.10000  112.000000       0.716170     5.305360e+07     1.270562e+08\n",
       "max     8.45000  160.000000       0.958798     1.823520e+08     6.921112e+08"
      ]
     },
     "execution_count": 253,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's take a look at the average of these median values.\n",
    "profit_by_studiodf.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that if we want to strive to be in the top half of this elite list of movie studios we need to have a profit margin of 66% and a net profit of 50 million per movie."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot the above findings.\n",
    "plt.figure(figsize=(14,7))\n",
    "ax16 = sns.barplot(x=profit_by_studiodf['Profit_Margin'], y=profit_by_studiodf['Studio'],\n",
    "                   order=profit_by_studiodf.sort_values('Profit_Margin', ascending=False).Studio, palette='GnBu_d')\n",
    "plt.xlabel('Profit Margin', fontsize=12)\n",
    "plt.ylabel('Studio', fontsize=12)\n",
    "plt.title('Median Profit Margin By Studio', fontsize=14)\n",
    "plt.xlim(0.3, 1.0)\n",
    "plt.savefig('ProfitMarginStudio')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot the above findings.\n",
    "plt.figure(figsize=(14,7))\n",
    "ax16 = sns.barplot(y=profit_by_studiodf['Studio'], x=profit_by_studiodf['Adjusted_Profit'], palette='GnBu_d')\n",
    "plt.xlabel('Net Profit (Hundreds of Millions)', fontsize=12)\n",
    "plt.ylabel('Studio', fontsize=12)\n",
    "plt.title('Median Net Profit By Studio', fontsize=14)\n",
    "plt.savefig('NetProfitStudio');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see from the graph above that the major players in the studio industry have profit margins ranging from 24% to 95%. That's quite a large range to define success. However, the top 25 studios shown are many of the studios that we often recognize when we go to the movies. As we've done previously, we use the median profit margin of the top 25 as a target for success among major studios. That profit margin is 66%.\n",
    "In the next analysis we'll take a closer look at some of these major studios to see what metrics we should try to mimic. Let's also keep this in mind as we go into our next analysis: UTV which has the greatest profit margin of all the studios is a subsidiary of Disney.\n",
    "\n",
    "**Question 7 Conclusion**: Microsoft should aim for a profit margin of 66% and a net profit of slightly over 50 million per movie to compete with the top existing studios."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Question 8: Based on the success of current competitors, which should we look to for best practices?\n",
    "\n",
    "We need to add a column to the `theaters_df` dataframe to calculate the money grossed per theater for a given movie.  Then we can group by studio."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "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>max_theaters</th>\n",
       "      <th>year</th>\n",
       "      <th>total_dom_gross($)</th>\n",
       "      <th>studio</th>\n",
       "      <th>dollars_per_theater</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>The Lion King</td>\n",
       "      <td>4802</td>\n",
       "      <td>2019</td>\n",
       "      <td>543638043</td>\n",
       "      <td>Disney</td>\n",
       "      <td>113210.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Avengers: Endgame</td>\n",
       "      <td>4662</td>\n",
       "      <td>2019</td>\n",
       "      <td>858373000</td>\n",
       "      <td>Disney</td>\n",
       "      <td>184121.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Spider-Man: Far from Home</td>\n",
       "      <td>4634</td>\n",
       "      <td>2019</td>\n",
       "      <td>390532085</td>\n",
       "      <td>Sony</td>\n",
       "      <td>84275.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Toy Story 4</td>\n",
       "      <td>4575</td>\n",
       "      <td>2019</td>\n",
       "      <td>434038008</td>\n",
       "      <td>Disney</td>\n",
       "      <td>94871.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>It Chapter Two</td>\n",
       "      <td>4570</td>\n",
       "      <td>2019</td>\n",
       "      <td>211593228</td>\n",
       "      <td>Warner Bros.</td>\n",
       "      <td>46300.49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       title  max_theaters  year  total_dom_gross($)  \\\n",
       "0              The Lion King          4802  2019           543638043   \n",
       "1          Avengers: Endgame          4662  2019           858373000   \n",
       "2  Spider-Man: Far from Home          4634  2019           390532085   \n",
       "3                Toy Story 4          4575  2019           434038008   \n",
       "4             It Chapter Two          4570  2019           211593228   \n",
       "\n",
       "         studio  dollars_per_theater  \n",
       "0        Disney            113210.75  \n",
       "1        Disney            184121.19  \n",
       "2          Sony             84275.37  \n",
       "3        Disney             94871.70  \n",
       "4  Warner Bros.             46300.49  "
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "theaters_df['dollars_per_theater'] = theaters_df['total_dom_gross($)'] / theaters_df['max_theaters']\n",
    "theaters_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>max_theaters</th>\n",
       "      <th>year</th>\n",
       "      <th>total_dom_gross($)</th>\n",
       "      <th>dollars_per_theater</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>studio</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Disney</th>\n",
       "      <td>3682.32</td>\n",
       "      <td>2010.59</td>\n",
       "      <td>202617891.97</td>\n",
       "      <td>51856.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DreamWorks Distribution</th>\n",
       "      <td>3408.26</td>\n",
       "      <td>2002.95</td>\n",
       "      <td>118198315.42</td>\n",
       "      <td>33102.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lionsgate</th>\n",
       "      <td>3356.24</td>\n",
       "      <td>2014.47</td>\n",
       "      <td>95268293.14</td>\n",
       "      <td>26485.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Metro-Goldwyn-Mayer (MGM)</th>\n",
       "      <td>3259.14</td>\n",
       "      <td>2004.00</td>\n",
       "      <td>78437576.64</td>\n",
       "      <td>23829.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Line Cinema</th>\n",
       "      <td>3410.57</td>\n",
       "      <td>2001.86</td>\n",
       "      <td>249718149.29</td>\n",
       "      <td>72518.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paramount Pictures</th>\n",
       "      <td>3466.71</td>\n",
       "      <td>2010.71</td>\n",
       "      <td>108614912.30</td>\n",
       "      <td>30508.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sony</th>\n",
       "      <td>3478.36</td>\n",
       "      <td>2010.56</td>\n",
       "      <td>116677932.63</td>\n",
       "      <td>32626.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TriStar Pictures</th>\n",
       "      <td>3146.00</td>\n",
       "      <td>2014.00</td>\n",
       "      <td>80703217.29</td>\n",
       "      <td>25546.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Twentieth Century Fox</th>\n",
       "      <td>3493.98</td>\n",
       "      <td>2011.21</td>\n",
       "      <td>111009777.12</td>\n",
       "      <td>31119.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United Artists</th>\n",
       "      <td>3124.00</td>\n",
       "      <td>2003.00</td>\n",
       "      <td>35667218.00</td>\n",
       "      <td>11417.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Universal Pictures</th>\n",
       "      <td>3488.41</td>\n",
       "      <td>2011.96</td>\n",
       "      <td>124914179.39</td>\n",
       "      <td>34679.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Warner Bros.</th>\n",
       "      <td>3535.03</td>\n",
       "      <td>2011.59</td>\n",
       "      <td>120355240.25</td>\n",
       "      <td>32678.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           max_theaters    year  total_dom_gross($)  \\\n",
       "studio                                                                \n",
       "Disney                          3682.32 2010.59        202617891.97   \n",
       "DreamWorks Distribution         3408.26 2002.95        118198315.42   \n",
       "Lionsgate                       3356.24 2014.47         95268293.14   \n",
       "Metro-Goldwyn-Mayer (MGM)       3259.14 2004.00         78437576.64   \n",
       "New Line Cinema                 3410.57 2001.86        249718149.29   \n",
       "Paramount Pictures              3466.71 2010.71        108614912.30   \n",
       "Sony                            3478.36 2010.56        116677932.63   \n",
       "TriStar Pictures                3146.00 2014.00         80703217.29   \n",
       "Twentieth Century Fox           3493.98 2011.21        111009777.12   \n",
       "United Artists                  3124.00 2003.00         35667218.00   \n",
       "Universal Pictures              3488.41 2011.96        124914179.39   \n",
       "Warner Bros.                    3535.03 2011.59        120355240.25   \n",
       "\n",
       "                           dollars_per_theater  \n",
       "studio                                          \n",
       "Disney                                51856.14  \n",
       "DreamWorks Distribution               33102.06  \n",
       "Lionsgate                             26485.34  \n",
       "Metro-Goldwyn-Mayer (MGM)             23829.21  \n",
       "New Line Cinema                       72518.24  \n",
       "Paramount Pictures                    30508.47  \n",
       "Sony                                  32626.67  \n",
       "TriStar Pictures                      25546.75  \n",
       "Twentieth Century Fox                 31119.14  \n",
       "United Artists                        11417.16  \n",
       "Universal Pictures                    34679.48  \n",
       "Warner Bros.                          32678.01  "
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Let's see what the average is for max number of theaters and for gross per theater for each studio\n",
    "average_theaters = theaters_df.groupby('studio').mean()\n",
    "average_theaters_ranked = average_theaters.sort_values(by=['studio'],ascending=False)\n",
    "average_theaters_ranked.reset_index(inplace=True)\n",
    "average_theaters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,13))\n",
    "ax16 = sns.barplot(x='studio', y='dollars_per_theater', data=average_theaters_ranked)\n",
    "plt.xlabel('Studio', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.title(\"Average Domestic Gross Per Theater\", fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '25'});\n",
    "plt.ylabel('Average Dollars Per Theater', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'});\n",
    "plt.xticks(rotation=35, horizontalalignment='right')\n",
    "plt.savefig('DomesticPerTheater', dpi=300);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the bar plot above, Disney and New Line Cinema stand out. We need to double check that there are an appropriate number of movies by each of these studios before jumping to conclusions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Warner Bros.                 208\n",
       "Twentieth Century Fox        165\n",
       "Disney                       147\n",
       "Universal Pictures           136\n",
       "Sony                         135\n",
       "Paramount Pictures           112\n",
       "Lionsgate                     49\n",
       "DreamWorks Distribution       19\n",
       "Metro-Goldwyn-Mayer (MGM)     14\n",
       "New Line Cinema                7\n",
       "TriStar Pictures               7\n",
       "United Artists                 1\n",
       "Name: studio, dtype: int64"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "theaters_df['studio'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that New Line Cinema only has 7 movies in this dataframe which means that their average domestic gross per theater is going to be skewed.  Disney is certainly still a possibility and we should also consider Warner Bros. and Twentieth Century Fox."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax17 = sns.lmplot(x='max_theaters', y='total_dom_gross($)', data=average_theaters, height=8, aspect=2)\n",
    "plt.ticklabel_format(axis='y', style='sci', scilimits=(6,6))\n",
    "plt.xlabel('Average of Maximum Theater Showings by Major Studio', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.ylabel('Average Domestic Gross (Millions of Dollars)', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '15'})\n",
    "plt.title('Maximum Number of Theaters vs. Domestic Gross', fontdict = {'fontname': 'Times New Roman', 'color': 'gray', 'fontsize' : '25'})\n",
    "plt.savefig('TheatersVGross', dpi=300);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The scatter plot shows a positive trend between the average number of theaters and the average domestic gross. The sole outlier is New Line Cinemas due to how few movies they are associated with in our dataframe. Disney is farthest to the right and above the trend line further proving that they should be a strong consideration.\n",
    "\n",
    "We'll join the theater and awards dataframes so that we can see which studios have the best win rate at the Oscars."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [],
   "source": [
    "theaters_df.set_index(['title', 'year'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "theaters_and_awards = theaters_df.join(awards_df, how='inner', on=['title', 'year'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>max_theaters</th>\n",
       "      <th>total_dom_gross($)</th>\n",
       "      <th>dollars_per_theater</th>\n",
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       "      <th>studio</th>\n",
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       "      <th>Disney</th>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
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       "      <th>DreamWorks Distribution</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
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       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
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       "      <th>New Line Cinema</th>\n",
       "      <td>2</td>\n",
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       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
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       "      <th>Paramount Pictures</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
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       "      <td>7</td>\n",
       "      <td>7</td>\n",
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       "      <th>Sony</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
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       "      <td>6</td>\n",
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       "      <th>Twentieth Century Fox</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
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       "      <td>15</td>\n",
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       "      <td>15</td>\n",
       "      <td>15</td>\n",
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       "      <td>15</td>\n",
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       "                         max_theaters  total_dom_gross($)  \\\n",
       "studio                                                      \n",
       "Disney                             22                  22   \n",
       "DreamWorks Distribution             4                   4   \n",
       "New Line Cinema                     2                   2   \n",
       "Paramount Pictures                  7                   7   \n",
       "Sony                                6                   6   \n",
       "Twentieth Century Fox               4                   4   \n",
       "Universal Pictures                  6                   6   \n",
       "Warner Bros.                       15                  15   \n",
       "\n",
       "                         dollars_per_theater  awards_won  awards_nominated  \\\n",
       "studio                                                                       \n",
       "Disney                                    22          22                22   \n",
       "DreamWorks Distribution                    4           4                 4   \n",
       "New Line Cinema                            2           2                 2   \n",
       "Paramount Pictures                         7           7                 7   \n",
       "Sony                                       6           6                 6   \n",
       "Twentieth Century Fox                      4           4                 4   \n",
       "Universal Pictures                         6           6                 6   \n",
       "Warner Bros.                              15          15                15   \n",
       "\n",
       "                         win_rate  \n",
       "studio                             \n",
       "Disney                         22  \n",
       "DreamWorks Distribution         4  \n",
       "New Line Cinema                 2  \n",
       "Paramount Pictures              7  \n",
       "Sony                            6  \n",
       "Twentieth Century Fox           4  \n",
       "Universal Pictures              6  \n",
       "Warner Bros.                   15  "
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "theaters_and_awards.groupby('studio').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>total_dom_gross($)</th>\n",
       "      <th>dollars_per_theater</th>\n",
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       "      <th>studio</th>\n",
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       "      <th>Disney</th>\n",
       "      <td>3818.73</td>\n",
       "      <td>305217242.45</td>\n",
       "      <td>78797.61</td>\n",
       "      <td>1.36</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.60</td>\n",
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       "    <tr>\n",
       "      <th>DreamWorks Distribution</th>\n",
       "      <td>3444.25</td>\n",
       "      <td>153223630.75</td>\n",
       "      <td>44447.63</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.25</td>\n",
       "      <td>0.60</td>\n",
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       "      <th>New Line Cinema</th>\n",
       "      <td>3662.50</td>\n",
       "      <td>358408603.00</td>\n",
       "      <td>97814.75</td>\n",
       "      <td>6.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>0.67</td>\n",
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       "      <th>Paramount Pictures</th>\n",
       "      <td>3564.86</td>\n",
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       "      <td>38930.82</td>\n",
       "      <td>1.00</td>\n",
       "      <td>3.71</td>\n",
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       "      <th>Sony</th>\n",
       "      <td>3653.67</td>\n",
       "      <td>237842295.67</td>\n",
       "      <td>64720.23</td>\n",
       "      <td>1.17</td>\n",
       "      <td>3.17</td>\n",
       "      <td>0.54</td>\n",
       "    </tr>\n",
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       "      <th>Twentieth Century Fox</th>\n",
       "      <td>3501.75</td>\n",
       "      <td>136874930.25</td>\n",
       "      <td>38404.79</td>\n",
       "      <td>2.25</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.43</td>\n",
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       "    <tr>\n",
       "      <th>Universal Pictures</th>\n",
       "      <td>3338.83</td>\n",
       "      <td>149344665.00</td>\n",
       "      <td>44970.82</td>\n",
       "      <td>1.33</td>\n",
       "      <td>3.33</td>\n",
       "      <td>0.51</td>\n",
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       "    <tr>\n",
       "      <th>Warner Bros.</th>\n",
       "      <td>3831.60</td>\n",
       "      <td>234055876.80</td>\n",
       "      <td>60023.04</td>\n",
       "      <td>2.67</td>\n",
       "      <td>5.87</td>\n",
       "      <td>0.56</td>\n",
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      "text/plain": [
       "                         max_theaters  total_dom_gross($)  \\\n",
       "studio                                                      \n",
       "Disney                        3818.73        305217242.45   \n",
       "DreamWorks Distribution       3444.25        153223630.75   \n",
       "New Line Cinema               3662.50        358408603.00   \n",
       "Paramount Pictures            3564.86        140835427.57   \n",
       "Sony                          3653.67        237842295.67   \n",
       "Twentieth Century Fox         3501.75        136874930.25   \n",
       "Universal Pictures            3338.83        149344665.00   \n",
       "Warner Bros.                  3831.60        234055876.80   \n",
       "\n",
       "                         dollars_per_theater  awards_won  awards_nominated  \\\n",
       "studio                                                                       \n",
       "Disney                              78797.61        1.36              3.00   \n",
       "DreamWorks Distribution             44447.63        2.00              4.25   \n",
       "New Line Cinema                     97814.75        6.50              8.50   \n",
       "Paramount Pictures                  38930.82        1.00              3.71   \n",
       "Sony                                64720.23        1.17              3.17   \n",
       "Twentieth Century Fox               38404.79        2.25              6.00   \n",
       "Universal Pictures                  44970.82        1.33              3.33   \n",
       "Warner Bros.                        60023.04        2.67              5.87   \n",
       "\n",
       "                         win_rate  \n",
       "studio                             \n",
       "Disney                       0.60  \n",
       "DreamWorks Distribution      0.60  \n",
       "New Line Cinema              0.67  \n",
       "Paramount Pictures           0.45  \n",
       "Sony                         0.54  \n",
       "Twentieth Century Fox        0.43  \n",
       "Universal Pictures           0.51  \n",
       "Warner Bros.                 0.56  "
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "theaters_and_awards.groupby('studio').mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Unfortunately, the joining of the dataframes only left us with 66 common movies. We would prefer to have more data to be more confident in establishing trends. We will consider the average number of theaters and average win rate to make a determination.  Disney is associated with 22 movies in our joined dataframe while Warner Bros. is associated with 15.  Warner. Bros does have a higher average for the number of theaters, however Disney has a noticeable $18,000 advantage in average domestic gross per theater. Disney also has the higher win rate for Oscars at nearly 60%.\n",
    "\n",
    "**Question 8 Conclusion**: Our Company should research Disney's best practices and try to build off the success of this well established studio."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusion\n",
    "While there are many other factors that we could consider in a future analysis we feel that the following 8 conclusions will result in a successful business venture as our Comapany enters the movie industry.\n",
    "\n",
    "1. I recommend that we should budget approximately \\$82,250,000 to make a movie. This should correlate with a profit margin above 80\\%.\n",
    "2. I recommend that we should focus their efforts on the top 6 most profitable movie genres: Adventure, Action, Comedy, Drama, Sci-Fi and Animation. A further recommendation to focus on Sci-Fi and Animation due to less competition and a higher opportunity to profit.\n",
    "3. I recommend that we release the bulk of their movies, especially Animation, during the summer months. Adventure, Drama and Comedy movies would see similar success if released in November, but the recommendation remains to focus on summer.\n",
    "4. Question 4 Conclusion: I recommend that we focus their cast and crew search to individuals who consistently score at least 1.0 on the VAR score. We can, with a high level of confidence, conclude that these individuals will elevate the overall production.\n",
    "5. We should spend at least \\$35,465,000 in order to make an Oscar-winning movie.\n",
    "6.  I recommend that we take into consideration the rating of the movie based on the genre and target audience. If making animation movies, it is wise to stick to a G or PG rating, otherwise PG-13 is the sweetspot. In terms of runtime, there is little correlation in terms of overall profitability.\n",
    "7. We should aim for a profit margin of 66% and a net profit of slightly over 50 million per movie to compete with the top existing studios.\n",
    "8. We should research Disney's best practices and try to build off the success of this well established studio."
   ]
  }
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