seaborn - Statistical visualization with Seaborn
Create dataset-oriented statistical graphics for exploring distributions, relationships, categorical comparisons, and multivariate data.
Tags
Updated: 2026-10-06Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Create relational plots
- Visualize distributions
- Compare categorical data
- Fit regression plots
- Render matrix heatmaps
- Build multi-panel grids
- Map semantic variables
- Estimate statistics automatically
Inputs
- Tabular datasets
- Pandas DataFrames
- Variable mappings
- Plot parameters
Outputs
- Statistical plots
- Matplotlib axes
- Figure-level grids
- Visualization figures
Requirements
- Python environment
- Seaborn library
- Matplotlib library
- Pandas integration