liveBook · Manning

Whisker

A boxplot whisker is a line extending from a box toward the most extreme included observation on the corresponding side of a distribution.

How 2 Manning books explain it

Statistics Slam Dunk

A whisker is a line extending from a boxplot box toward the non-outlying lower or upper observations.

How it is used
Uses whiskers to compare distributions and reveal non-outlying spread in NBA performance data.
How deep it goes
Defines whiskers, relates them to quartiles and the IQR, and distinguishes outliers, without deriving the plotting algorithm.
Examples
Illustrates whiskers with NBA wins, points scored, points allowed, career win shares, birthplace, college attendance, and draft year.
What you can do after
Apply whiskers via ggplot2 to interpret distribution, spread, medians, means, and outliers in grouped NBA data.

Read how Statistics Slam Dunk explains whisker →

D3.js in Action, Third Edition

A whisker is a line extending from a box-plot quartile toward a distribution extreme such as the minimum or maximum.

How it is used
Uses whiskers to show the spread from box-plot quartiles toward minimum and maximum values.
How deep it goes
Explains whisker meaning and demonstrates SVG line attributes, while deferring statistical treatments beyond minimum, maximum, and quartiles.
Examples
Uses gender-grouped salary distributions, SVG lines, and optional salary-point circles as concrete examples.
What you can do after
Builds whiskers in D3 by appending SVG lines and assigning scaled quartile and extreme positions.

Read how D3.js in Action, Third Edition explains whisker →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.