Raincloud Plot Maker
Create Raincloud Plot Maker from experimental or research data
Make Gene expression by treatment from CSV or Excel with Raincloud Plot Maker. Includes Python rendering, SciVis editing, and publication-ready export.
Create your scientific chart
Drag a data file here, or click to upload
CSV, TSV, TXT, Excel · Max 5MB
Preview
ExampleThis preview uses the selected sample dataset. Generate it with Python, or upload your own data to create a new chart.
Raincloud Plot Maker examples with downloadable data
Open an example to inspect the chart, download its CSV, or load the same data into the generator above.
What does Raincloud Plot Maker show?
Raincloud Plot Maker turns structured research data into the statistical form this chart is designed to show. Use it for Gene expression by treatment, IL-6 dose-response distribution, and related analyses; Python creates the first reproducible chart and SciVis handles visual refinement.
Data requirements for Raincloud Plot Maker
- Representative fields: group, replicate, value.
- Keep one observation, category, time point, or valid pair per row.
- Store measured values as numbers and put units in the column header.
- Treat blanks as missing values and remove totals or notes before upload.
Research examples for Raincloud Plot Maker
- Gene expression by treatment
- IL-6 dose-response distribution
- Single-cell area by phenotype
- Reaction time by age cohort
- Microbiome alpha diversity
- Protein abundance across stress and recovery
Why use Raincloud Plot Maker for research data?
- Validate the data mapping with the included Gene expression by treatment example before replacing its values.
- Apply the same visual grammar to IL-6 dose-response distribution or a comparable dataset.
- Use Python-backed rendering without having to write or debug plotting code.
- Keep the generated values intact while refining labels, colors, and export in SciVis.
How to use Raincloud 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 clear Raincloud Plot Maker should include
- Axes, groups, or nodes mapped consistently from group, replicate, value.
- A title that states the outcome or comparison shown by the Raincloud Plot Maker.
- Readable labels, units, legends, and reference lines where the method requires them.
- A restrained color system and sufficient resolution for papers, posters, or slides.
Raincloud Plot Maker or Violin Plot Maker?
Choose Raincloud Plot Maker when its statistical structure matches the question and columns in your dataset. Use Violin Plot Maker when that alternative comparison is the main analytical goal; keeping the chart types separate avoids a misleading visual encoding.
Raincloud Plot Maker FAQ
Which columns does Raincloud Plot Maker need?
The included CSV shows the expected structure. Representative fields are group, replicate, value; equivalent column names are accepted when their values have the same roles.
When should I use Raincloud Plot Maker instead of Violin Plot Maker?
Use Raincloud Plot Maker when you want the relationship it is specifically designed to encode. Choose Violin Plot Maker when its alternative comparison better matches the research question.
Can I edit a figure after creating it with Raincloud Plot Maker?
Yes. Open the figure generated with Raincloud Plot Maker in SciVis to change labels, colors, annotations, layout, and other visual settings.
Can I use figures from Raincloud Plot Maker in a research paper?
Yes. Raincloud Plot Maker is designed to produce clean, publication-ready scientific figures. Always verify values and journal requirements before submission.
Can Raincloud Plot Maker export high-resolution figures?
Yes. After editing a Raincloud 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 Raincloud Plot Maker?
No. Raincloud Plot Maker creates the first version through a guided upload workflow, while SciVis provides visual controls for refinements.
Learn how to use Raincloud Plot Maker with research data
Review chart selection, required data columns, interpretation, and related scientific visualization workflows before preparing your final figure.
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Try it freeCreate a figure with Raincloud Plot Maker
Start with sample data or upload one supported data file, then finish the figure in SciVis.