Abstract
A composite scatter diagram and contouring procedure is presented based on the use of a nonparametric or parametric bivariate density estimator as a data transformation. Each transformed value determines the character (shape of the symbol), color, and masking (whether or not the character is to appear in the plot) to be used to represent each individual datum. This facilitates the search for global distributional characteristics, without the danger of losing sight of the fact that one is dealing with an estimator and not a hypothesized representation of a true underlying distribution. The association of a single datum with a single data point is examined and an application is described where a spray consisting of a changeable number of individual display points substitutes for the conventional data point.
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