MENTAL MODEL · M9151

Violin Plot

TechnicalHigh supportStatistics

Included

Updated 2026-08-15

Loading revision record…

INTRODUCTION

English translation pending.

CORE DEFINITION

The violin plot overlays a kernel density estimate on the summary statistics of a box plot, so the width of the shape at each value indicates how much data lies there. It reveals features that summary statistics hide, including multiple peaks and skew. The qualification is that the density estimate requires enough data, since a small sample produces a smooth shape that implies structure the data cannot support.

SCAFFOLDING EFFECT

psychology

Reduce cognitive load

- Use Distribution Comparison: compare the full shape of several groups rather than only their averages. - Use Sample Size Check: confirm there is enough data before trusting the smooth density shape.

anchor

Anchor fast decisions

A mean or median collapses a distribution into one number, so two groups with the same average can differ completely in spread and shape. Estimating density at each value and displaying it as width restores that information, which makes bimodality and skew visible at a glance.

MINIMUM ACTION

In progress 0/1

Practice this model in one real situation:

Choose the groups whose distributions you want to compare. 2. Draw the kernel density for each as a symmetric shape. 3. Overlay the median and quartile markers on each shape. 4. Check the sample size behind each plotted shape. 5. Look for multiple peaks and skew rather than reading only the centre.

Check to track your progress (stored locally)

Learning progress0%

account_treeGenealogyexpand_more

menu_bookReferencesexpand_more

Source support: Explicit

link
en.wikipedia.orghttps://en.wikipedia.org/wiki/Violin_plotZH · Explicit
verified

RELATED MODELS