An Extended Scatterplot Selection Technique for Representing Three Numeric Variables

There have been automatic techniques that selects scatterplots from the ones generated from a multi- dimensional dataset as a powerful multi-dimensional data visualization method. One of the criteria used in this method supposes that plots are color-coded by a specific categorical variable in the multi-dimensional dataset. We extended this method and show the visualization results by color-coding the plots according to a specific numeric variable in the multidimensional dataset. This extended method represents a specific numeric variable by color, and generates a set of scatterplots in which all pairs of other two numeric variables are assigned to the two axes. Then, the method automatically selects interesting scatterplots that represent three numeric variables.