1.2 KiB
1.2 KiB
name, description, allowed-tools, version
| name | description | allowed-tools | version |
|---|---|---|---|
| data-visualization | Create publication-quality data visualizations. Use when: (1) Presenting results, (2) Exploratory data analysis, (3) Manuscript preparation, (4) Grant proposals, (5) Presentations. | Read, Write, Bash | 1.0.0 |
Data Visualization Skill
Purpose
Create clear, publication-ready figures following best practices.
Figure Types by Data
Continuous Outcome:
- Bar plots (means with error bars)
- Box plots (distributions)
- Violin plots (density)
Categorical Data:
- Bar charts (counts/proportions)
- Stacked bars (composition)
Relationships:
- Scatter plots (correlations)
- Line graphs (time series)
Distributions:
- Histograms
- Density plots
- Q-Q plots (normality)
Best Practices
Design:
- Clear axis labels with units
- Legible font sizes (≥10pt)
- Color-blind friendly palettes
- Minimal chart junk
Statistics:
- Show individual data points when N < 50
- Error bars: 95% CI (not SE or SD)
- Asterisks for significance with p-value in caption
Format:
- High resolution (≥300 DPI)
- Vector format (PDF, SVG) preferred
- Grayscale-compatible
Version: 1.0.0