This particular business case study focuses on the Netflix data and provides insightful information on 8807 shows. It analyzes the data and generates insights using Python libraries like numpy, pandas, matplotlib and seaborn to help Netflix decide which type of shows/movies to produce and how to grow the business.
Netflix is one of the most popular media and video streaming platforms. They have over 8000 movies or tv shows available on their platform, as of mid-2021, they have over 200M Subscribers globally.
The particular business case focuses on the Netflix show data and provides insightful information on 8807 shows.
I have analyzed the given dataset to extract valuable insights and provide actionable recommendations.
The data is available in a single csv file :
● Show ID : The ID of the show
● Type: Identifier - A Movie or TV Show
● Title: Title of the Movie / Tv Show
● Director: Director of the Movie
● Cast: Actors involved in the movie/show
● Country: Country where the movie/show was produced
● Date_added: Date it was added on Netflix
● Release_year: Actual Release year of the movie/show
● Rating: TV Rating of the movie/show
● Duration: Total Duration - in minutes or number of seasons
● Listed_in: Genre
● Description: The summary description