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seaborn - Create statistical visualizations with Seaborn

Create dataset-oriented statistical visualizations, including relational, distribution, categorical, regression, matrix, and multi-panel plots.

Tags

Updated: 2026-10-07

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Create relational plots
  • Visualize data distributions
  • Compare categorical groups
  • Plot regression relationships
  • Render matrix heatmaps
  • Build multi-panel figures
  • Map semantic variables
  • Estimate statistics automatically

Inputs

  • Dataset
  • DataFrame variables
  • Plot type
  • Variable mappings
  • Grouping parameters
  • Plot styling parameters

Outputs

  • Statistical charts
  • Multi-panel figures
  • Matplotlib axes
  • Seaborn grid objects

Requirements

  • Python environment
  • Seaborn library
  • Matplotlib library

Source

  • Spec: SKILL.md

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visualization
plotting
charts
statistical visualization
seaborn
Create relational plots
Visualize data distributions
Compare categorical groups
Plot regression relationships
Dataset
DataFrame variables
Plot type
Statistical charts
Multi-panel figures
Matplotlib axes