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Netflix Data Analysis Project

This project analyzes Netflix's movie and TV show dataset to identify content trends, such as genre popularity, content type distribution (TV shows vs. movies), and the average duration for the movie and TV shows. The goal is to gain insights into Netflix's content acquisition and production trends.

Dataset Source

Analysis Performed

  • Most common genres on Netflix
  • Top 10 content contributor countries
  • Movies vs. TV Shows distribution
  • Most common content ratings
  • Average duration and season of movies & TV shows
  • Genre distribution in top 10 countries

How to Run This Project

  1. Clone this repository
    git clone https://github.com/Andersen-C/Netflix-Data-Analysis.git
  2. Open notebooks/Netflix_Data_Analysis.ipynb in your Jupyter Notebook
  3. Install all the required libraries
  4. Feel free to try running and edit the cells

About

This repository contains an exploratory data analysis (EDA) of Netflix's TV Shows and Movies dataset using Python. This project focuses on applying Python libraries, such as Pandas, Matplotlib, and Seaborn, to extract insights about Netflix's content distribution, popular genres, and trends over time.

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