alterlab-seaborn
Installation
SKILL.md
Seaborn Statistical Visualization
Overview
Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code.
When to Use This Skill
Use seaborn for quick, attractive statistical graphics straight from a pandas DataFrame: distributions, relationships, categorical comparisons, correlation heatmaps, and faceted small multiples.
Does NOT Trigger
| Scenario | Use Instead |
|---|---|
| Interactive chart with hover, zoom, or an HTML dashboard | alterlab-plotly |
| Exact journal/manuscript styling (column widths, point fonts, CMYK, vector export) | alterlab-scientific-viz |
| Low-level control of individual artists or layouts beyond FacetGrid/PairGrid | alterlab-matplotlib (seaborn axes-level plots accept ax= for this) |
| A full exploratory-data-analysis report on a data file (structure, quality, summary statistics) | alterlab-eda |
| Choosing and running the statistical test behind a comparison | alterlab-statistical-analysis |