sales-data-cleaning

n this project, I performed end-to-end data cleaning and preprocessing on a real-world sales dataset using Python and Pandas. The workflow included handling missing values, removing duplicates, standardizing text fields, and converting date columns into proper formats.

After cleaning, the dataset was saved in a structured format, and basic analysis and visualization were generated to extract meaningful insights.

This project demonstrates practical skills in data cleaning, data preprocessing, and data analysis, which are essential for data engineering and analytics workflows.