One project. A clear next step.

1. 1

   Upload & setup

   Start with a CSV or XLSX file. For Excel, choose the worksheet you want to use. Review the import preview before continuing.

   What you leave with: An imported dataset for the project.

2. 2

   Project details

   Give the project a name and add your research title or question. Record your experimental design context and what you want the figures to show. A research synopsis is optional.

   What you leave with: A clear description of the work and its intended figures.

3. 3

   Quick analysis

   Review the data structure, column types and missing values. Confirm whether rows are individual observations or already summarized means. Map group, sample-unit and time roles where appropriate.

   What you leave with: Confirmed variable roles and observation structure.

4. 4

   Select parameters

   Choose the numeric measurements you want to visualize. Start with one measurement so you can review the first result before making a larger batch.

   What you leave with: The response variables to include in the figures.

5. 5

   Choose plot types

   Choose how each measurement should be shown. A distribution, a group comparison and a relationship between measurements require different figure choices.

   What you leave with: A plot configuration matched to the question.

6. 6

   Generate & refine

   Generate the figures in R. Review them, open Edit Figure to make changes and save the result. Select successful saved figures to export as images or a PDF report.

   What you leave with: Saved figures and downloadable outputs.

Try it with a small example.

The getting-started guide includes a synthetic dataset and a first-figure walkthrough. No private research information is needed.