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Informative data visualization with raincloud plots in JASP.

Vincent L Ott1, Don van den Bergh2, Bruno Boutin2

  • 1Department of Psychological Methods, University of Amsterdam, Nieuwe Achtergracht 129B, 1001 NK, Amsterdam, The Netherlands. mail.vincent.ott@gmail.com.

Behavior Research Methods
|August 18, 2025
PubMed
Summary
This summary is machine-generated.

Raincloud plots offer a superior method for visualizing data in factorial designs, combining summary statistics, density estimates, and individual data points. This visualization technique enhances data interpretation and transparency, making research results more accessible.

Keywords:
Anscombe’s quartetGood research practicesStatistical software

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Area of Science:

  • Psychology
  • Data Science
  • Statistics

Background:

  • Effective data visualization is crucial for accurate conclusions and transparent reporting in research.
  • Factorial designs benefit from advanced visualization techniques.
  • Raincloud plots integrate box plots, density estimates, and individual data points for comprehensive visualization.

Purpose of the Study:

  • To highlight the advantages of raincloud plots over traditional statistical visualizations.
  • To demonstrate the increasing adoption of transparent data visualization methods.
  • To provide an accessible implementation of raincloud plots for researchers and students.

Main Methods:

  • A 'raincloud quartet' was presented to showcase the benefits of raincloud plots.
  • A literature review analyzed the prevalence of raincloud plots and individual data points in publications.
  • A comprehensive suite of raincloud plots was implemented in JASP, an open-source statistical software.

Main Results:

  • Raincloud plots offer greater insight compared to standard mean and confidence interval presentations.
  • The use of raincloud plots and individual data points in publications has significantly increased.
  • The JASP implementation makes raincloud plotting accessible to a wider audience.

Conclusions:

  • Raincloud plots are a valuable tool for enhancing data interpretation in factorial designs.
  • The trend towards transparent data visualization is evident in scientific publications.
  • The JASP software facilitates the practical application of advanced data visualization techniques.