Create publication-ready bar charts from categorical research data.
Upload category and value columns, describe the comparison you need, then generate a clean AI chart with labels, optional error bars, and manuscript-ready PNG output.
Upload data and describe the AI chart you need.
Costs 5 credits. Uses your uploaded data and prompt to generate a publication-ready PNG.
Preview
Aspect ratio: 16:9
These are sample previews. Upload your dataset to generate your own bar chart.
Use these examples as visual directions for categorical comparisons, grouped bars, stacked bars, and manuscript-ready summary figures.
Prompt
Based on the uploaded treatment_means.csv file, create a clean scientific bar chart comparing mean response across Control, Low dose, High dose, and Recovery groups. Use a zero-based y-axis, SD error bars, sample-size labels, direct value labels, clear group names, and a blue/teal/coral/purple publication palette.
Prompt
Based on the uploaded enzyme_activity_ph.xlsx file, create a publication-ready bar chart showing enzyme activity across pH 5.0, 6.0, 7.0, 8.0, and 9.0. Keep pH on the category axis, activity on the y-axis, include supplied error bars, and highlight the peak near neutral pH with restrained scientific styling.
Prompt
Based on the uploaded dose_response_summary.csv file, create a grouped bar chart comparing Cell line A and Cell line B across 0 nM, 10 nM, 50 nM, and 100 nM doses. Use SEM error bars, a compact legend, readable dose labels, a zero-based y-axis, and a clean blue/orange manuscript style.
Prompt
Based on the uploaded gene_expression_groups.tsv file, create a grouped scientific bar chart comparing relative expression for Gene A, Gene B, and Gene C across Control and Treated conditions. Include SEM error bars, a compact legend, clear y-axis label, and a journal-safe blue/teal/coral palette.
Prompt
Based on the uploaded habitat_species_richness.csv file, create a bar chart comparing observed species counts across Wetland, Grassland, Woodland, Cropland, Riverbank, and Meadow habitats. Use direct value labels, readable category labels, a zero-based y-axis, light gridlines, and restrained scientific colors.
Prompt
Based on the uploaded assay_signal_components.xlsx file, create a stacked bar chart for Baseline, Drug A, Drug B, and Combination conditions. Stack Signal, Background, and Noise components, show total labels, include a compact legend, use a normalized signal y-axis, and keep the chart clean for a manuscript figure.
Add CSV, TSV, TXT, or Excel data with a category column and one or more numeric value columns.
Tell SciFigure AI whether you need simple, grouped, stacked, ordered, or error-bar-supported bars.
Create a clean AI bar chart, check labels and values, then download PNG for papers and slides.
It turns categorical research data into a clean bar chart for comparing means, counts, totals, percentages, or grouped values across treatments, cohorts, genes, habitats, assays, and experimental conditions.
Use one category column plus at least one numeric value column. Optional series, SD, SE, or CI columns can guide grouped bars and uncertainty.
Yes. Upload a series or component column and describe whether the final figure should use grouped bars, stacked bars, or separate panels.
For ordinary bar charts, a zero baseline is usually the clearest and least misleading choice.
Use a dot plot, box plot, or violin plot when raw observations, sample size, or distribution shape matter more than summary values.
Yes, but verify the uploaded data, units, labels, uncertainty definition, and caption before submission.
Generate bar charts, error bar charts, dot plots, and other research-ready visualizations with SciFigure AI.
