data-visualization

# 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