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Abstract
Polyplots are glyphs which display multivariate and univariate data simultaneously over time. Each glyph, a regular polygon with as many vertices as the number of variables of interest, represents one time interval. By locating the mean at the vertex and using rays from the vertex to indicate magnitude and direction, the polyplot becomes a univariate control chart for every variable. Changing the color or line style of the rays signifies whether the 2-sigma and 3-sigma limits are exceeded univariately. A “thermometer” graphic to the left of each glyph displaying the Hotelling T2 value provides multivariate control chart information.
Additional information
Notes on contributors
Linda W. Blazek
Ms. Blazek is a Senior Statistical Scientist. Dr. Novic is a Staff Statistical Scientist. Dr. Scott is a Staff Statistical Scientist.
Bradley Novic
Ms. Blazek is a Senior Statistical Scientist. Dr. Novic is a Staff Statistical Scientist. Dr. Scott is a Staff Statistical Scientist.
Douglas M. Scott
Ms. Blazek is a Senior Statistical Scientist. Dr. Novic is a Staff Statistical Scientist. Dr. Scott is a Staff Statistical Scientist.
