EXPLORATORY-DATA-ANALYSIS-ON-NETFLIX-DATASET-

This project explores a Netflix dataset to uncover patterns in content releases, viewer engagement, content type distribution, and language popularity over time. Using Python libraries like pandas, numpy, matplotlib, and seaborn

Netflix Exploratory Data Analysis (EDA) Project

Overview

This project focuses on performing Exploratory Data Analysis (EDA) on a Netflix dataset to uncover insights into content trends, viewing patterns, language distributions, and content types.

Technologies Used

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

Key Steps

• Data Cleaning (handling missing values, parsing dates, formatting columns)
• Feature Engineering (Year and Month extraction)
• Visualization of trends and patterns

Dataset

Netflix dataset sourced from : https://statso.io/netflix-content-strategy-case-study/

Visualizations

Sample visualizations included trends over years, top viewed titles, language distribution, and content type analysis.

Feedback

I am open to feedback and suggestions to improve the analysis. Please feel free to share your thoughts!

Author

Kandregula Mourya Manidepp - https://www.linkedin.com/posts/mourya-manideep-kandregula-1b0a2a298_netflix-datascience-python-activity-7320327803801870337-Nzi7?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAEgOHpQBvJShe9uDtUNQbGNIv0JkxYRO6Ho