This repository contains a data analysis project on the Netflix dataset using Python. The analysis is performed in a Jupyter Notebook, and it explores various aspects of the Netflix dataset to gain insights and extract valuable information.
Netflix is one of the world's leading streaming platforms, offering a vast library of movies, TV shows, and documentaries. Analyzing the Netflix dataset can provide valuable insights into the platform's content, user base, and viewing trends. This project aims to analyze the Netflix dataset to uncover interesting patterns and statistics.
The dataset used in this analysis Netflix Dataset. It contains information about various movies and TV shows on Netflix, including titles, directors, cast, release year, and more. The dataset is provided in a CSV format.
The analysis in this project covers a wide range of topics, including but not limited to:
- Exploratory Data Analysis (EDA) to understand the dataset's structure.
- Visualizations to illustrate trends and patterns in Netflix content.
- Insights into popular genres, directors, and actors.
- Distribution of content by release year.
- Analysis of content duration and rating.
Before you can run the Jupyter Notebook and perform the analysis, you will need the following:
- Python (3.x recommended)
- Jupyter Notebook
- Required Python libraries (Pandas, Matplotlib, Seaborn, etc.)
Happy Data Analysis! 📊🍿📺