Sophia-stack446/Netflix-eda

Data cleaning and exploratory data analysis (EDA) on Netflix movies and Tv shows dataset. Done as part of AnalystLab Africa Data Analytics internship Batch B 2026 Netflix Movies & TV Shows — Data Cleaning & EDA Overview This project involves data cleaning and exploratory data analysis (EDA) on the Netflix Movies & TV Shows dataset from Kaggle, completed as part of the AnalystLab Africa Data Analytics Internship Batch B (June–August 2026). Dataset Source: kaggle.com Tools Used • Python • Pandas • Matplotlib • Seaborn • Google Colab What Was Done • Handled missing values • Removed duplicates • Standardized text and date formats • Performed EDA with 5 analyses and 5 visualizations • Exported cleaned dataset Key Insights 1. 70% of Netflix content is Movies 2. Content peaked in 2019 3. USA is the top content producer 4. TV-MA is the most common rating 5. International Movies is the most popular genre Author Sophia Ogbeide