Plotting

This skill provides comprehensive documentation and examples for using the seaborn Python library for statistical data visualization. It covers core plotting functions (scatter, line, distribution, categorical, regression, and matrix plots), the modern objects interface API, multi-plot grids, theming, and best practices for creating publication-quality figures.

This skill provides expert guidance on using matplotlib for data visualization in Python. It covers both pyplot and object-oriented interfaces, includes comprehensive reference documentation for plot types, styling, and troubleshooting, plus ready-to-use template scripts for creating publication-quality figures.