Docs · Research
Graphs: publication figures from your data
Bar, line, scatter, box, histogram, Kaplan–Meier, bubble, forest and funnel plots from a dataset or pasted values, styled for journals and exported as SVG or 300 DPI PNG.
Updated 2026-09-05
Where the data comes from
- Pick one of the project's datasets and map its variables to the chart (x, y or several y series, group, size, time and event), or paste a small table (CSV or tab-separated, headers in the first row).
- Grouped summaries (mean, median, count, sum) are computed for you when a categorical x meets a numeric y; the active Select Cases filter of the dataset is respected.
Chart types
- Bar (grouped or stacked, optional value labels), line (categories or numeric x), scatter (groups and an OLS trend line with R²), box plot (quartiles, whiskers, outliers, mean), histogram (Freedman–Diaconis bins or your own).
- Kaplan–Meier survival curves per group with Greenwood confidence bands, censor ticks, a numbers-at-risk table and the log-rank p-value.
- Bubble plot (meta-regression: effect against a covariate, size ∝ weight), forest plot (per-study estimates, weights and pooled fixed/random diamonds computed by inverse variance) and funnel plot with the pseudo-95% funnel.
Style and export
- Title, subtitle, axis labels, axis ranges, tick rotation, legend position, grid, font size, colour-blind-safe palettes (Okabe–Ito, Viridis, greyscale for print) and journal size presets (single, 1.5 and double column at 300 DPI).
- Export SVG (vector, best for journals), PNG at 300 DPI, or save both into the project's Files so co-authors can insert the figure into a manuscript. A figure legend is drafted from the mapping for you to edit.
Something missing or wrong? Tell us.