Netflix Data Analytics

A project that explores and visualizes trends in Netflix content using a cleaned dataset. The analysis focuses on content distribution, ratings, and genre preferences.

Table of Contents

• Overview
• Technologies Used
• Data Description
• Installation
• Usage
• Contributing

Overview

This project analyzes a cleaned dataset from Netflix to uncover insights such as the most popular genres, trends over time, and ratings distribution. It includes visualizations to present key findings.

Technologies Used

Python-> for analysis Pandas,NumPy and Matplotlib for data processing and visualization Jupyter Notebook-> for running the analysis

Data Description

The dataset contains the following columns:

• Title: Name of the content.
• Director: Director(s) of the content.
• Rating: Content's rating.
• Genre: Genre(s) of the content.
• Release Year**: Year of release.

Installation

1. Clone the repository: git clone https://github.com/Babugv2003/Netflix-Data-Analytics.git

2. Navigate to the project directory:

   cd Netflix-Data-Analytics

3. Install dependencies:

   pip install -r requirements.txt

Usage

1. Open the Jupyter Notebook: jupyter notebook

2. Launch netflix_titles_cleaned_project.ipynb and follow the steps to run the analysis.

Contributing

1. Fork the repository.
2. Create a new branch and make your changes.
3. Push your changes and open a pull request.