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seaborn - Create statistical visualizations with Seaborn

Creates publication-quality statistical graphics for exploring distributions, relationships, categorical comparisons, regressions, matrices, and faceted datasets.

Tags

Updated: 2026-10-06

Capabilities

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

Source

  • Spec: SKILL.md

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seaborn
statistical visualization
data exploration
pandas
matplotlib
Python
Create statistical plots
Explore distributions and relationships
Compare categorical groups
Visualize regression fits
Datasets
Variable mappings
Plot parameters
Rendered plots and figures
Matplotlib axes and figure objects
Faceted plot grids