Data Loading for ggterm

Load data into arrays of records for use with ggterm plotting and analysis.

Built-in Datasets (No files needed!)

ggterm includes built-in datasets that can be used directly by name:

Dataset	Rows	Columns
iris	150	sepal_length, sepal_width, petal_length, petal_width, species
mtcars	16	mpg, cyl, hp, wt, name
airway	500	gene, baseMean, log2FoldChange, lfcSE, pvalue, padj
lung	227	time, status, age, sex, ph_ecog

Use them directly in plot commands:

npx ggterm-plot iris sepal_length sepal_width species "Iris Dataset" point
npx ggterm-plot mtcars mpg hp cyl "Motor Trend Cars" point
npx ggterm-plot airway log2FoldChange padj gene "DESeq2 Results" volcano
npx ggterm-plot lung time status sex "Lung Survival" kaplan_meier

IMPORTANT: When the user asks about iris, mtcars, airway, lung, or bundled/built-in datasets, use these names directly with npx ggterm-plot. Do NOT try to generate CSV files or install Python packages.

External Files

npx ggterm-plot data.csv x_column y_column color_column "Title" point
npx ggterm-plot data.json x_column y_column
npx ggterm-plot data.jsonl x_column y_column

Verification

Inspect any data file to see columns and types:

npx ggterm-plot inspect data.csv

$ARGUMENTS