eda_using_python_libraries

Netflix Data Analysis

Overview

This Python project analyzes Netflix content data using various visualizations such as genre distribution, yearly release trends, maturity rating distribution, and feature correlation heatmaps. The analysis is styled with a Netflix-themed color palette.

Libraries Used

• numpy
• pandas
• matplotlib
• seaborn

Install with:

pip install numpy pandas matplotlib seaborn

Dataset

The dataset is from Kaggle and includes attributes like:

• Main Genre
• Release Year
• Maturity Rating

Features

1. Genre Distribution: Bar chart of content genres.
2. Yearly Release Trend: Histogram of content releases by year.
3. Maturity Rating Distribution: Pie chart of content ratings.
4. Feature Correlation Heatmap: Correlation heatmap of numerical features.

How to Run

1. Place the dataset at the correct path or update the file_path variable.
2. Run the script:

python netflix_analysis.py

ScreenShot:

License

Open-source under the MIT License.