🎬 Netflix Data Analysis using Python

📌 Objective

Analyze Netflix’s dataset to find insights about movies, TV shows, genres, countries, and ratings.

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🧰 Tools & Libraries

• Python
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Jupyter Notebook

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📊 Dataset Description

The dataset (netflix_data.csv) contains 1,500 records with columns like:

Column	Description
show_id	Unique identifier
type	Movie or TV Show
title	Title of the content
director	Director name
country	Country of production
date_added	Date added on Netflix
release_year	Release year
rating	Age rating
duration	Duration (min or seasons)
listed_in	Genre
description	Short content description

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📈 Steps Performed

1. Import and explore dataset
2. Data cleaning and preparation
3. Visualization of content trends
4. Country and genre analysis
5. Insights and conclusion

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📋 Insights

• Netflix’s content has grown rapidly post-2015.
• Movies slightly outnumber TV shows.
• Top genres include Drama and Comedy.
• USA and India dominate content creation.

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💡 Conclusion

This project highlights Netflix’s evolving global content strategy, genre diversity, and audience preferences.

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🚀 How to Run

pip install -r requirements.txt
jupyter notebook Netflix_Data_Analysis.ipynb