Netflix Data Analysis Project

Project Overview

This project analyzes the Netflix Movies and TV Shows dataset.

The goal is to clean the data, explore patterns, visualize trends, and extract meaningful insights about Netflix content.

Tools Used

Python

Pandas

Matplotlib

Jupyter Notebook

Dataset

Source: Netflix Movies and TV Shows Dataset

The dataset contains information about movies and TV shows on Netflix, including title, genre, release year, rating, country, duration, and date added.

Objectives

Perform data cleaning and preprocessing

Analyze distribution of content by type, genre, country, and rating

Visualize trends over time

Extract key insights from the dataset

Key Insights

The United States produces the highest amount of content on Netflix.

The most common genre on the platform is International Movies.

The average movie duration is approximately 99.6 minutes.

Movies are more common than TV Shows on the platform.

Content additions peaked around 2019.

TV-MA is the most frequent rating category.