This is Exploratory Data Analysis using Python of the "Netflix Movies & TV Shows" dataset. The purpose of this project is to find out and visualize the data's main characteristics and trends using statistical methods and data visualization techniques.
The Netflix Movies & TV Shows dataset can be found on Kaggle. It contains all TV Shows and Movies metadata available on Netflix. The dataset is updated every month. It contains 8807 records and 12 columns.
Netflix was founded on August 29, 1997, as a mail-based rental business. In January 2007, the company launched a streaming media service, introducing video on demand via the Internet.
The purpose of this analysis is to answer the following questions:
- Number of movies/tv-shows added to the streaming platform by year
- Which month has the most added movies/tv-shows?
- Which day has the most added movies/tv-shows?
- How many Movies vs. TV-Shows?
- Which year has the most releases Movies/TV-Shows?
- Which is the oldest movie/tv-show on streaming?
- Which countries produce the most movies/tv-shows?
- Cast members with the most content