This project performs exploratory data analysis (EDA) on Netflix movies and TV shows to uncover patterns related to content ratings, genres, countries, growth over time, and content duration.
Netflix Movies and TV Shows dataset sourced from Kaggle.
The dataset includes information such as title, type, director, cast, country, rating, release year, date added, and duration.
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Jupyter Notebook
- VS Code
- Content rating distribution
- Country-wise content distribution
- Genre distribution analysis
- Movies vs TV shows comparison
- Netflix content growth over time
- Movie duration and TV show season analysis
- Netflix primarily targets a mature audience, with TV-MA being the most common rating
- The United States is the largest content contributor, followed by India and the United Kingdom
- Drama and international genres dominate the platform
- Movies significantly outnumber TV shows
- Most movies are between 80–120 minutes long
- Most TV shows have only one or two seasons
The analysis indicates that Netflix focuses on globally scalable, mature, and viewer-friendly content. The platform emphasizes standard-length movies and limited-series formats to balance viewer engagement and production risk.
Manas Mishra