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This project explores Netflix’s catalog using Python and performs exploratory data analysis (EDA) to uncover trends in content type, country of production, release patterns, and more, providing key insights into the platform's global media offerings.

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coding-for-it/Netflix-Data-Analysis

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📊 Netflix Titles Analysis

This project performs Exploratory Data Analysis (EDA) on Netflix titles (Movies and TV Shows) using Python and visualization libraries.


📁 Dataset

The dataset includes detailed information about Netflix’s content, such as:

  • Title
  • Type (Movie or TV Show)
  • Country of Production
  • Director and Cast
  • Rating
  • Release Year
  • Duration
  • Additional metadata

🎯 Project Goals

  • Analyze content trends on Netflix over the years.
  • Compare the number of Movies vs TV Shows.
  • Identify the most active countries in content production.
  • Explore yearly release patterns.
  • Derive key insights from Netflix's content catalogue.

🛠️ Tools & Libraries

  • Python
  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • Jupyter Notebook

🚀 Installation

  1. Clone this repository:
git clone https://github.com/coding-for-it/Netflix-Data-Analysis.git

About

This project explores Netflix’s catalog using Python and performs exploratory data analysis (EDA) to uncover trends in content type, country of production, release patterns, and more, providing key insights into the platform's global media offerings.

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