Skip to content

mukuldhattarwal/Netflix-Data-Analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Netflix Data Analysis explores the Netflix dataset to uncover trends in content distribution, genres, and geography. After cleaning and EDA, visualizations show rapid growth after 2015, with Movies (~70%) dominating over TV Shows. Popular genres include Dramas, Comedies, and International Movies, with the U.S., India, and the U.K. as top contributors. Built using Python, Pandas, NumPy, Matplotlib, Seaborn, Plotly, and Scikit-learn.

About

Netflix Data Analysis project explores the Netflix dataset to uncover trends, patterns, and insights. It covers data cleaning, exploratory data analysis (EDA), and visualizations using Python. Key findings reveal growth after 2015, dominance of movies, popular genres like Drama/Comedy, and leading contributors: U.S., India, and U.K.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors