Data & ReproScientific VisualizationFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction

bio-data-visualization-ggplot2-fundamentals

Maintainer FreedomIntelligence · Last updated April 1, 2026

R ggplot2 for publication-quality genomics and omics figures.

OpenClawNanoClawAnalysisWritingbio-data-visualization-ggplot2-fundamentals🧠 bioos extended suitebioos extended bioinformatics suiter

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-data-visualization-ggplot2-fundamentals

Maintainer: FreedomIntelligence
License: MIT
Last updated: April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

ggplot(data, aes(x = var1, y = var2)) + geom_point().
ggplot(df, aes(x, y)) + geom_point().

Source Doc

Excerpt From SKILL.md

Bar plot

ggplot(df, aes(x, y)) + geom_col() # y values ggplot(df, aes(x)) + geom_bar() # counts

Boxplot

ggplot(df, aes(group, value)) + geom_boxplot()

Violin plot

ggplot(df, aes(group, value)) + geom_violin()

Use cases

Use bio-data-visualization-ggplot2-fundamentals to prepare publication-quality figures.
Apply bio-data-visualization-ggplot2-fundamentals when results need clear visual communication.

Not for

Do not rely on this catalog entry alone for installation or maintenance details.

Upstream Related Skills

differential-expression/de-visualization - DE-specific plots
pathway-analysis/enrichment-visualization - Enrichment plots
reporting/rmarkdown-reports - Figures in reports

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