Netflix Data Analysis

Exploring Netflix’s global content library, ratings, and trends using Python & Tableau.

About this project

This project dives into a Netflix dataset to uncover patterns in content type, ratings, and genre popularity over time. It combines Python for initial cleaning and Tableau for creating insightful visual dashboards.

Technologies Used

  • Python (Pandas, NumPy) for data cleaning and feature engineering
  • Tableau for building interactive dashboards and storytelling
  • CSV datasets from Kaggle containing Netflix shows metadata

Key Highlights

  • Analyzed most frequent genres, maturity ratings, and countries producing Netflix content.
  • Built visualizations showing content growth trends since 2010.
  • Identified average number of genres per show and duration patterns by type.
  • Filtered dashboards to explore recent trends (after 2018).

Sample Dashboards

Dashboard

Insights & Learnings

- Majority of Netflix content is TV Shows with PG-13 and TV-MA ratings.
- USA and India are the top producers of Netflix titles.
- After 2018, there’s a surge in genre diversity, indicating Netflix’s strategy to reach varied audiences.

View the Work

Check out the Tableau dashboards on my Tableau Public and the data cleaning notebook on GitHub.