dr-cookdata-visualizer

name

dr-cook:data-visualizer

description

Generate publication-quality scientific figures and visualizations for academic manuscripts. Use when creating data visualization, plot, figure, chart, graph, heatmap, volcano plot, boxplot, violin plot, PCA plot, UMAP, survival curve, Kaplan-Meier, forest plot, scientific figure, publication figure, ggplot, matplotlib, R plot, Python plot, enrichment bubble chart, PPI network visualization, network figure, 数据可视化, 画图, 图表, 可视化. Do NOT trigger for: bioinformatics-assistant (analysis pipelines and computational methods), method-designer (experimental design and study planning).

data-visualizer

1. Overview

data-visualizer produces publication-quality figures for academic manuscripts, generating complete, runnable code in ggplot2 or matplotlib with correct resolution, font sizes, and color palettes. Three figure categories are supported.

Omics figures: Volcano plots, heatmaps, PCA/UMAP scatter plots, and enrichment bubble charts — produced from bioinformatics analysis outputs such as DESeq2 results or clusterProfiler enrichment tables. Typically downstream from bioinformatics-assistant.

Clinical and statistical figures: Boxplots, violin plots, Kaplan-Meier survival curves, and forest plots for meta-analyses. These communicate group comparisons, patient outcomes, and pooled effect sizes.

Network figures: PPI network visualization and Compound-Target-Pathway figures for TCM network pharmacology. Output is Cytoscape-ready edge/node tables or R igraph code.

2. Parameters

Required

Parameter	Values	Description
figure_type	volcano | heatmap | pca | umap | boxplot | violin | | | | |