This repository contains an exploratory data analysis (EDA) of the Netflix dataset, offering valuable insights into one of the world's leading streaming platforms. Dive into this project to discover trends, patterns, and intriguing details about Netflix's content library.
📊 Data Visualizations Explore a wide range of captivating data visualizations, including:
Movie and TV Show Trends: Understand how the volume of content has evolved over the years. Content by Genre: Discover the most popular genres among Netflix titles. Country-based Analysis: Uncover which countries produce the most content. ##🤖 Sentiment Analysis Get a deeper understanding of viewer sentiment through sentiment analysis of descriptions. Find out which content tends to be the most positively received.
Explore Netflix's global reach by examining content availability in different countries and regions.
Jupyter Notebooks: Detailed analysis and code can be found in Jupyter Notebooks for easy replication and exploration. Datasets: The Netflix dataset used for this analysis is included for reference. Getting Started If you're ready to dive into the world of Netflix data, follow these steps:
1. Clone this repository to your local machine.
2. Open the Jupyter notebooks in the notebooks folder to access the analysis and visualizations.
3. Explore the insights and adapt the code to your specific questions or interests.
This dataset is available in Kaggale and is only used for EDA purposes.
Your feedback and contributions are highly valued! Feel free to open issues, provide feedback, or submit pull requests to enhance this project.