Exploratory Data Analysis (EDA) of Netflix's content library using Python. The goal is to uncover trends and insights about Netflix's content strategy.

• Source: Kaggle - Netflix Shows
• 8,800+ titles with information on type, country, director, genre, rating and more

• Python
• Pandas
• Matplotlib
• Seaborn
• Jupyter Notebook / Google Colab

1. Movies make up nearly 70% of all Netflix content
2. USA produces the most content, followed by India
3. Netflix content grew rapidly after 2015, peaking around 2019-2020
4. Most content is rated TV-MA, targeting adult audiences
5. Rajiv Chilaka is the most featured director with 19 titles
6. International Movies is the #1 genre with 2700+ titles

• Movies vs TV Shows distribution
• Top 10 content producing countries
• Netflix content growth over the years
• Content rating distribution
• Top 10 directors
• Top 10 genres

Md Jalal Abedin [https://www.linkedin.com/in/jalal-abedin/]