seaborn
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.
Data & AnalyticsScience & Research
Seaborn Statistical Visualization
Detailed Guide
Read [the detailed guide](references/detailed-guide.md) before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
When to Use
- You need publication-quality statistical graphics directly from tabular datasets.
- You are exploring multivariate relationships, distributions, or grouped comparisons with minimal plotting code.
- You want seaborn's dataset-oriented API and statistical defaults on top of matplotlib.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Details
| Source | community |
|---|---|
| License | BSD-3-Clause license |
| Risk label | critical ("critical" means the skill may run commands or touch files — read before use) |
| Files | SKILL.md, references/detailed-guide.md |
| Added | 2026-09-04 |
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