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gh-astoreyai-ai-scientist/skills/data-visualization/SKILL.md
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---
name: data-visualization
description: "Create publication-quality data visualizations. Use when: (1) Presenting results, (2) Exploratory data analysis, (3) Manuscript preparation, (4) Grant proposals, (5) Presentations."
allowed-tools: Read, Write, Bash
version: 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