This repository contains the code, documentation, and presentation for a comprehensive analysis of the Netflix content catalog. The project explores content trends in Movies and TV Shows, genre popularity, and country-wise contributions using Python, data visualization, and statistical analysis.
With increasing competition in the streaming industry, Netflix must strategically analyze its content catalog to identify strengths, gaps, and opportunities. This project aims to deliver actionable insights by examining content distribution, genres, and geographic representation over time.
- Analyze the distribution of Movies vs. TV Shows from 2008 to 2021.
- Identify the most common genres and how their popularity has changed.
- Compare country-wise contributions to Netflix’s catalog.
- Python (Pandas, NumPy)
- Matplotlib, Seaborn, Plotly
- Google Colab / Jupyter Notebook
- GitHub
- Microsoft PowerPoint
Netflix_VOIS.ipynb— Main analysis notebookNetflix Dataset.csv— Source datasetREADME.md— Project documentation
- Clear insights into Netflix’s evolving content strategy
- Identification of top genres, countries, and categories
- Strategic recommendations for future content focus
Debangshu Bhattacharjee AICTE Internship Project — October 2025