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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

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Version: 1.0.0