Ridgeline Plot Maker

Create Ridgeline Plot Maker from experimental or research data

Create publication-ready ridgeline plots from grouped numeric data. Compare overlapping distributions as ridge plots or joyplots without writing code.

Built for research dataEditable in SciVisCSV, TSV, TXT, and ExcelPublication-ready export
Ridgeline Plot Maker

Create your scientific chart

Data Input

Drag a data file here, or click to upload

CSV, TSV, TXT, Excel · Max 5MB

Costs 10 creditsUpload one CSV, TSV, TXT, XLSX, or XLS file (Excel uses the first worksheet)

Preview

Ridgeline Plot Maker previewExample

This preview uses the selected sample dataset. Generate it with Python, or upload your own data to create a new chart.

Ridgeline Plot Maker examples

Explore six ready-to-use datasets and visual styles for real research scenarios.

What does Ridgeline Plot Maker help visualize?

Create publication-ready ridgeline plots from grouped numeric data. Compare overlapping distributions as ridge plots or joyplots without writing code. Ridgeline Plot Maker converts structured research data into a clear visual pattern for comparing values, distributions, relationships, or changes. The first figure is generated from your uploaded file and remains editable in SciVis.

Ridgeline Plot Maker example datasets and research scenarios

  • Gene Expression Ridgeline Plot
  • Ridgeline Density Plot by Treatment Group
  • Ridge Plot of Particle-Size Distributions
  • Joyplot of Monthly Temperature Distributions
  • Python-Style Ridgeline Plot from CSV
  • Protein Abundance Ridgeline Chart

Why researchers use Ridgeline Plot Maker

  • Communicate results more clearly than a raw table.
  • Reveal patterns, differences, and outliers quickly.
  • Create consistent figures across a paper or presentation.
  • Export a polished visual for publication or peer review.

How to use Ridgeline Plot Maker

Choose an example or upload one CSV, TSV, TXT, XLSX, or XLS file, check the detected columns, generate the chart, and continue editing it in SciVis. For Excel files, the first worksheet is imported.

What a good figure from Ridgeline Plot Maker includes

  • A descriptive title and clearly labeled axes.
  • A readable scale, legend, or grouping key.
  • Colors and symbols that remain distinct in print.
  • Annotations that highlight the finding without obscuring the data.

Ridgeline Plot Maker FAQ

Is Ridgeline Plot Maker free to use?

Yes. You can start with the six included datasets and use available free credits to generate a chart with Ridgeline Plot Maker.

Which data formats does Ridgeline Plot Maker support?

Ridgeline Plot Maker accepts one CSV, TSV, TXT, XLSX, or XLS file at a time. Excel files use the first worksheet, and every page also includes prepared sample datasets.

Can I edit a figure after creating it with Ridgeline Plot Maker?

Yes. Open the figure generated with Ridgeline Plot Maker in SciVis to change labels, colors, annotations, layout, and other visual settings.

Can I use figures from Ridgeline Plot Maker in a research paper?

Yes. Ridgeline Plot Maker is designed to produce clean, publication-ready scientific figures. Always verify values and journal requirements before submission.

Can Ridgeline Plot Maker export high-resolution figures?

Yes. After editing a Ridgeline Plot Maker figure in SciVis, you can export it in formats suitable for papers, posters, slides, and reports.

Do I need coding experience to use Ridgeline Plot Maker?

No. Ridgeline Plot Maker creates the first version through a guided upload workflow, while SciVis provides visual controls for refinements.

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Create a figure with Ridgeline Plot Maker

Start with sample data or upload one supported data file, then finish the figure in SciVis.

Use Ridgeline Plot Maker