Netflix Data Analytics

Overview

This data analytics project dives into a Netflix content dataset to uncover trends in streaming content. Using Pandas for data wrangling and Matplotlib/Seaborn for visualisation, the analysis covers content type distribution (movies vs. TV shows), genre popularity, top producing countries, release year trends, and rating breakdowns — providing a comprehensive picture of what Netflix's library looks like.

Key Features

• Content type breakdown — movies vs. TV shows over time
• Genre frequency analysis with bar and pie charts
• Top content-producing countries ranked by title count
• Release year trend charts showing library growth
• Rating distribution across all content
• Pandas-based data cleaning and transformation pipeline