sk Skill · tassiovale
seaborn
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.
Open on skills.sh ↗read 2026-09-15
- installs 8w
- 0
- 30-day movement
- starts with the next reading
- Related entries
- 5
- Connections
- 1
pythonbashPython
- Host repository
- tassiovale/claude-code-kit
- Version
- 1.1
- Allowed tools
- Read Write Edit Bash
- Compatible with
- Requires Python 3.8+ and seaborn 0.13.2-compatible dependencies. Install with uv pip install seaborn==0.13.2, use seaborn[stats]==0.13.2 when advanced regression or clustering examples need scipy/statsmodels.
- Licence
- BSD-3-Clause license
- Host stars
- 13
- Host language
- Python