Netflix Data Analysis

Netflix is a subscription-based streaming service that allows their members to watch TV shows and movies on an internet-connected device. Depending on your plan, you can also download TV shows and movies to your iOS, Android, or Windows 10 device and watch without an internet connection.

The project will involve importing and cleaning the dataset using Pandas, a popular data manipulation library in Python. The dataset will then be explored using Matplotlib and Seaborn, two powerful data visualization libraries, to create visualizations such as line charts and histograms that provide insights into user behavior and content trends.

The goal of this project will include analyzing user behavior and preferences, such as popular genres, and Movies & TV Shows Ratings. The project will also examine content trends, such as total count of Movies & TV Shows, the number of titles released each year, the most popular directors, and content availability by region.

By providing the Netflix team with insights into user behavior and content trends, the project aims to help Netflix optimize its content strategy, drive engagement, and increase revenue.

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