Seaborn

Statistical data visualization library built on Matplotlib. Provides high-level abstractions for common statistical plots.

Proficiency: Proficient

Use cases

• Heatmaps for correlation matrices
• Violin and box plots for distribution comparison
• Regression plots with confidence intervals
• Categorical and multi-dimensional data visualisation
• Publication-ready figure themes

Often used in Jupyter notebooks alongside Pandas for exploratory analysis in Data Science.

Related: Python, Matplotlib, Pandas, Jupyter, Data Science