Python, a versatile programming language, has established itself as a staple in the data analysis landscape, primarily due to its powerful libraries: Pandas, NumPy, and Matplotlib. These libraries ...

This project demonstrates how to use popular Python libraries—NumPy, Pandas, Matplotlib, and Seaborn—to perform data analysis and create insightful visualizations.

Objective: To clean, transform, and analyze messy e-commerce sales data to derive actionable business insights on sales trends, customer behavior, regional performance, and return rates using Python ...

Jumping into data analysis without proper data cleaning will certainly lead to incorrect results. The Python Data Cleaning Cookbook - Second Edition will show you tools and techniques for cleaning and ...