The regular scatterplot visualizes a relation between two variables X and Y ( e.g., weight and height). Individual data points are represented by point markers in two- dimensional space, where axes represent the variables. The two coordinates (X and Y) which determine the location of each point, correspond to its specific values on the two variables. If the two variables are strongly related, then the data points form a systematic shape (e.g., a straight line or a clear curve). If the variables are not related, then the points form an irregular "cloud" (see the categorized scatterplot below for examples of both types of data sets).
Fitting functions to scatterplot data helps identify the patterns of relations between variables (see example below).
For more examples of how scatterplot data helps identify the patterns of relations between variables, see
Outliers and
Brushing. See also,
Data Reduction.
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