In descriptive statistics, a box plot or boxplot (also known as a box-and-whisker diagram or plot) is a convenient way of graphically depicting groups of numerical data through their five-number summaries: the smallest observation (sample minimum), lower quartile (Q1), median (Q2), upper quartile (Q3), and largest observation (sample maximum). A boxplot may also indicate which observations, if any, might be considered outliers.
Boxplots display differences between populations without making any assumptions of the underlying statistical distribution: they are non-parametric. The spacings between the different parts of the box help indicate the degree of dispersion (spread) and skewness in the data, and identify outliers. Boxplots can be drawn either horizontally or vertically.
Read more about Box Plot: Alternative Forms, Variations, Visualization
Famous quotes containing the words box and/or plot:
“[Let] the Union of the States be cherished and perpetuated. Let the open enemy to it be regarded as a Pandora with her box opened; and the disguised one, as the Serpent creeping with his deadly wiles into paradise.”
—James Madison (1751–1836)
“But, when to Sin our byast Nature leans,
The careful Devil is still at hand with means;
And providently Pimps for ill desires:
The Good Old Cause, reviv’d, a Plot requires,
Plots, true or false, are necessary things,
To raise up Common-wealths and ruine Kings.”
—John Dryden (1631–1700)