The points representing the proportions of the component variables (X, Y, and Z) in a ternary graph are n categorized ternary graphs, the points representing the proportions of the component variables (X, Y, and Z) are plotted in a two-dimensional display for each level of the grouping variable (or user-defined subset of data). One component graph is produced for each level of the grouping variable (or user-defined subset of data), and all the component graphs are arranged in one display to allow for comparisons between the subsets of data (categories).

Use categorized ternary plots to examine relationships between three or more dimensions where three of those dimensions represent components of a mixture for each level of a grouping variable. One typical application of this graph is when the measured response(s) from an experiment depends on the relative proportions of three components (e.g., three different chemicals) that are varied in order to determine an optimal combination of those components (e.g., in mixture designs).

STATISTICA offers six types of categorized ternary plots: 2D Scatterplots, 3D Scatterplots, Contour Plots (both Lines and Areas), Space Plots, Surface Plots, and Trace Plots.

See also, Graphs - Categorized Ternary Plots.