Create publication-ready box plots from grouped experimental data.
Upload raw measurements, map groups and values, then generate a clean AI chart with median, IQR, whiskers, and outliers.
Upload data and describe the AI chart you need.
Costs 5 credits. Uses your uploaded data and prompt to generate a publication-ready image.
Preview
Aspect ratio: 16:9
These are sample previews. Upload your dataset to generate your own chart.
Use these examples as visual directions for grouped measurements, cohort comparisons, and manuscript-ready statistical charts.
Prompt
Based on the uploaded treatment_response_groups.csv file, create a grouped box plot comparing Control, Low, High, and Combo response values. Show medians, IQR boxes, whiskers, outliers, raw dots, clear axes, and a blue/coral publication style.
Prompt
Based on the uploaded cell_viability_assay.xlsx file, create a scientific box plot of cell viability by treatment condition. Show medians, IQR boxes, whiskers, outliers, replicate dots, group labels, Cell viability (%) axis, and a clean light-blue manuscript style.
Prompt
Based on the uploaded dose_response_replicates.csv file, create a dose-response box plot across 0 nM, 10 nM, 50 nM, and 100 nM groups. Show medians, IQR boxes, whiskers, outliers, raw dots, clear dose labels, and a clean blue scientific style.
Prompt
Based on the uploaded cohort_comparison_samples.csv file, create a cohort-stratified box plot comparing baseline biomarker values across patient groups. Show medians, IQR boxes, whiskers, outliers, raw dots, compact labels, and a clean manuscript style.
Prompt
Based on the uploaded gene_expression_spread.tsv file, create a multi-gene expression box plot showing spread across selected genes or clusters. Include medians, IQR boxes, whiskers, outliers, raw dots, subtle significance marks, and restrained scientific colors.
Prompt
Based on the uploaded batch_replicates_qc.xlsx file, create a batch-level QC box plot comparing replicate measurements across sites. Show medians, IQR boxes, whiskers, outliers, raw dots, sample-size labels, a subtle QC range band, and clean scientific styling.
Add CSV, TSV, TXT, or Excel measurements with one row per observation.
Tell SciFigure AI the labels, palette, group order, and statistical style you need.
Create a clean box plot, review the figure, then download PNG for papers and slides.
It turns grouped measurements into a clean box plot with medians, interquartile ranges, whiskers, outliers, labels, and optional raw points. The result is designed for manuscripts, lab reports, posters, and research presentations.
Long-form data works best: one group column and one numeric measurement column, with one row per observation.
Yes. You can show jittered raw points when sample size and transparency allow it, especially for small groups.
Yes. Use group labels such as condition, cohort, dose, time point, or treatment arm to compare distributions.
The generated result is a PNG image that you can download after generation. Review labels, statistics, and units before using it.
Yes, but always verify source data, field mapping, statistical method, units, and caption before submission.
Generate box plots, violin plots, histograms, and other research-ready visualizations with SciFigure AI.
