dr-cook:data-visualizer
CommunityAuto-create publication-ready figures from data.
Data & Analytics#bioinformatics#matplotlib#data-visualization#network-visualization#publication-quality#ggplot2#clinical-figures
Authorwen-chen
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Data visualization for academic research often requires translating raw results into publication-ready figures and runnable code. Data-visualizer automates this process by generating ggplot2 or matplotlib code that produces high-quality plots from omics, clinical, and network data, saving researchers time and ensuring consistency across manuscripts.
Core Features & Use Cases
- Generates omics figures (volcano, heatmaps, PCA/UMAP) from bioinformatics outputs.
- Creates clinical figures (boxplots, Kaplan-Meier curves, forest plots) and network visuals for pharmacology.
- Produces publication-ready figures with ready-to-run code and templates, suitable for journals and preprints.
Quick Start
Provide your input data or result object, and let data-visualizer generate publication-ready figures with runnable ggplot2 or matplotlib code.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: dr-cook:data-visualizer Download link: https://github.com/wen-chen/dr-cook/archive/main.zip#dr-cook-data-visualizer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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