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

Seaborn: Seaborn automates the creation of multiple figures. This sometimes leads to OOM (out of memory) issues. Matplotlib: Matplotlib is a graphics package for data visualization in Python. It is ...

Seaborn, a Python visualization library ... offering several advantages over Matplotlib. It seamlessly integrates with the pandas library, enabling effortless handling of DataFrame objects.

Matplotlib is popular for making data visualizations with Python ... seaborn I have a Mamba environment called "stats" containing other popular libraries like NumPy, SciPy, and Pandas.