seaborn - Create statistical visualizations with Seaborn
Creates publication-quality statistical graphics for exploring distributions, relationships, categorical comparisons, regressions, matrices, and faceted datasets.
Tags
Updated: 2026-10-06Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Create statistical plots
- Explore distributions and relationships
- Compare categorical groups
- Visualize regression fits
- Plot heatmaps and clustermaps
- Build faceted plot grids
- Map data to visual properties
- Integrate with matplotlib
Inputs
- Datasets
- Variable mappings
- Plot parameters
- Matplotlib axes
Outputs
- Rendered plots and figures
- Matplotlib axes and figure objects
- Faceted plot grids
Requirements
- Python runtime
- Seaborn library
- Matplotlib library
