Chernoff faces are a way to present a small number of highly multivariate data points to check for outliers. My code allows visualization of eight parameters: head eccentricity, eye size, eye eccentricity, eye spacing, pupil size, eyebrow slant, nose length, mouth size. Along with x and y positions, you can graph ten variables in one scatterplot. The main purpose of this is to visually locate outlying data points: humans are very good at recognizing faces, particularly those of strangers.

The code to produce the faces is the MGgrChernoffFace class in mggrchernoffface__define.pro (doc). MG_FACE_DEMO (source) (doc) is an example of using MGgrChernoffFace as a plot symbol.

<

p>Edward Tufte says about Chernoff faces:

With cartoon faces and even numbers becoming data measures, we would appear to have reached the limit of graphical economy of presentation, imagination, and, let it be admitted, eccentricity.