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distribution-plots

separate

Plot per-group distributions of continuous data using boxplots, violins, beeswarms, quasirandom jitter, and raincloud plots with sample-size honesty (Weissgerber 2015), KDE-bandwidth awareness, and N-aware encoding choices. Use when comparing distributions across a small number of groups — expression per cluster, biomarker per arm, scores per condition — and the bar-of-mean default is misleading.

When to use

• comparing distributions across a small number of groups
• expression per cluster
• biomarker per arm
• scores per condition
• rendering boxplots, violins, beeswarms, or rainclouds
• calibrating plots to N per group
• showing every point for n < 30
• layering summary on top of raw data

When not to use

• bar-of-mean plots
• tasks where the bar-of-mean default is not misleading

Skill page

Source