https://github.com/mehnaz2004/data-cleaning-casestudy

This repository demonstrates data cleaning with a layoffs dataset. It covers handling missing values, detecting outliers, and encoding categorical data, using visualizations like boxplots and distplots to enhance data quality. Check out the code to see these techniques in action.

categorical-data-encoding data-cleaning data-integrity data-visualization missing-value-handling outlier-detection-and-removal pandas seaborn sklearn

Last synced: 01 Mar 2026