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Project: Investigating Netflix Movies
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  • Netflix! What started in 1997 as a DVD rental service has since exploded into one of the largest entertainment and media companies.

    Given the large number of movies and series available on the platform, it is a perfect opportunity to flex your exploratory data analysis skills and dive into the entertainment industry. Our friend has also been brushing up on their Python skills and has taken a first crack at a CSV file containing Netflix data. They believe that the average duration of movies has been declining. Using your friends initial research, you'll delve into the Netflix data to see if you can determine whether movie lengths are actually getting shorter and explain some of the contributing factors, if any.

    You have been supplied with the dataset netflix_data.csv , along with the following table detailing the column names and descriptions:

    The data

    netflix_data.csv

    ColumnDescription
    show_idThe ID of the show
    typeType of show
    titleTitle of the show
    directorDirector of the show
    castCast of the show
    countryCountry of origin
    date_addedDate added to Netflix
    release_yearYear of Netflix release
    durationDuration of the show in minutes
    descriptionDescription of the show
    genreShow genre
    # Importing pandas and matplotlib
    import pandas as pd
    import matplotlib.pyplot as plt
    
    # Loading the csv file as pandas data frame "netflix_df"
    netflix_df = pd.read_csv("netflix_data.csv")
    
    # Excluding TV shows from the data set and saving it as netflix_subset
    netflix_subset = netflix_df[netflix_df['type'] != "TV Show"]
    
    # Selecting required column for analysis and stroing it as netflix_movies df
    select_cols = ['title', 'country', 'genre', 'release_year', 'duration']
    netflix_movies = netflix_subset[select_cols]
    
    # filtering netflix_movies df to find the movies that are strictly shorter than 60 mins and storing as short_movies df
    filter_short_movies = netflix_movies['duration'] < 60
    short_movies = netflix_movies[filter_short_movies]
    
    # Creating color list
    colors = []
    for value in netflix_movies['genre']:
        if value == 'Children':
            colors.append('purple')
        elif value == 'Documentaries':
            colors.append('blue')
        elif value == 'Stand-Up':
            colors.append('pink')
        else:
            colors.append('orange')
            
    # Plotting
    fig = plt.figure(figsize = (12, 8))
    plt.scatter(netflix_movies.release_year, netflix_movies.duration, c = colors)
    plt.title('Movie Duration by Year of Release')
    plt.xlabel("Release year")
    plt.ylabel("Duration (min)")
    plt.show()
    
    answer = 'no'