Netflix data analysis - Exploratory data analysis

Project Title :

Analysing Netflix Streaming data for insights.

Project Description :

Analyse the data and generate insight that could help Neflix in deciding which type of show / Movies to produce and how they can grow the business in different countries.

Data contains following attributes columms :

1. Show_id : Unique ID for every Movies / Show.
2. Type : Identifier - Data is about a Movie or TV show.
3. Title : Title of the Movie / Tv show.
4. Director : DIrector of the Movie.
5. Cast : Name of the actors and actresses (Artists) involved in the movie / show.
6. Country : Country where the movie / show was produced.
7. Date_added : Date it was added On Netflix.
8. Release_year : Actual Release year of the movie / show.
9. Rating : TV rating. of the movie / Show.
10. Duration : Total duration : In minutes or number of seasons.
11. Listed_in : Genre.
12. Description : The summery description.

Questions we are going answers with this data :

1. How has the number of movies released per year changed over the last 20 - 30 years ?
2. Comparison of TV shows vs. Movies.
3. What is the best time to launch a Tv show ?
4. Analysis of actors / directors of different types of shows / Movies.
5. Does Netflix has more focus on TV shows than Movies in recent years.

How to Install and run project on your machin : Download the project Ipynb file from GitHub. To run the file go to Jupyter.org or use Google Colab.

Tools and Language :

Language : Python. Jupyter notebook platform for analysis seamless data analysis experience Used Data analysis libraries such as - Numpy, Pandas, Matplotlib and Seaborn.

Want to talk about the project, Please connect with me on LinkedIn and aniketrtm114@gmail.com