Create publication-ready line charts from uploaded research data.
Upload time-course, trend, or ordered measurement data, describe the figure you need, and generate a clean line chart with readable axes, grouped series, markers, labels, and manuscript-ready styling.
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 line chart.
Use these examples as visual directions for time courses, dose profiles, growth curves, kinetics, and ordered experimental trends.
Prompt
Based on the uploaded treatment_timecourse.csv file, create a publication-ready line chart showing response over time for each treatment group. Plot time on the x-axis and normalized response on the y-axis, use distinct group colors, add point markers, include uncertainty bands only if present in the data, and keep the legend compact.
Prompt
Based on the uploaded dose_titration_profile.xlsx file, create a grouped line chart comparing signal across ordered dose levels. Use dose on the x-axis, response on the y-axis, one line per formulation or condition, readable markers, direct labels when helpful, and a clean manuscript-ready color palette.
Prompt
Based on the uploaded wavelength_response_curve.tsv file, create a scientific line chart showing absorbance across ordered wavelength values. Use a single clean line with markers, label the peak response only if it is supported by the uploaded values, and keep axis units and spacing readable.
Prompt
Based on the uploaded growth_curve_conditions.csv file, create a line chart showing growth index across study days for each condition. Use separate lines for nutrient or treatment groups, preserve observed measurement points, avoid inventing missing days, and keep the figure suitable for a results panel.
Prompt
Based on the uploaded enzyme_activity_kinetics.xlsx file, create a line chart showing reaction velocity across ordered substrate concentrations. Use clear markers, highlight the half-max region only if supported by the data, label the axes with units, and avoid decorative effects that reduce scientific clarity.
Prompt
Based on the uploaded multi_stage_experiment.csv file, create a multi-series line chart comparing measurements across ordered experimental stages. Use one line per batch or condition, compact legends, readable markers, and a journal-safe palette while preserving the original stage order.
Add CSV, TSV, TXT, or Excel data with an ordered x-axis column and at least one numeric measurement column.
Tell SciFigure AI which trends, groups, markers, labels, and visual style you want for the final figure.
Create a clean line chart, check the series and labels, then download PNG for papers and slides.
It turns uploaded ordered measurements into a clean line chart for showing changes across time, dose, wavelength, sample order, visits, or experimental stages. The result is designed for manuscripts, reports, posters, and presentations.
Use a dataset with one ordered x-axis column and at least one numeric measurement column. A group column can create multiple lines.
Yes. Upload a group, treatment, cohort, gene, or condition column and the generator can draw separate lines for each series.
Yes, if the uploaded data includes replicate, standard deviation, standard error, confidence interval, or similar uncertainty values.
Avoid line charts when the x-axis categories have no natural order. A bar chart, dot plot, or scatter plot may be clearer.
Yes, but verify the source data, labels, units, time/order, and statistical annotations before submission.
Generate line charts, time courses, grouped trends, and other scientific figures with SciFigure AI.
