Netflix Data: Cleaning, Analysis, and Visualization

Overview

This project involves loading, cleaning, analyzing, and visualizing data from a Netflix dataset using Python. The goal is to explore the dataset, gain insights, and prepare for potential machine learning tasks.

Tools and Libraries

• Python: for data cleaning and analysis
• Pandas: for handling and cleaning data
• Matplotlib & Seaborn: for data visualization
• Excel: for manual data inspection and initial exploration

Project Structure

• data/: Contains the Netflix dataset
• scripts/: Python scripts for data cleaning, analysis, and visualization
• notebooks/: google colab for interactive analysis
• results/: Graphs and visual outputs from the analysis

Key Insights

• Genres and Trends: Analysis of the most popular genres and content release trends
• Ratings and Audience: Insights into the ratings distribution across different genres and release years
• Regional Contribution: Breakdown of content by region
• Top Contributors: Frequent directors, actors, and content creators on Netflix

Installation and Usage

To run this project, clone the repository and install the necessary dependencies:

git clone https://github.com/yourusername/netflix-data-analysis.git
cd netflix-data-analysis
pip install -r requirements.txt