This disadvantage is critical in static implementations of mosaic plots, such as in SAS or S-Plus. In interactive implementations, however, software can offer very flexible means of rearranging the order of the variables, both manually and automatically. In addition, mosaic plots and barcharts lend themselves to interactive linked highlighting in multiple views. I show how this facilitates visualization of categorical models. This can be achieved by superimposing residual information for loglinear models, as well as by simple linked highlighting for response models.
Users can thus perform graphical stepwise modeling of categorical data.
This represents a new methodology that goes beyond traditional exploratory uses of data visualization.