The discrete nature of categorical data often confounds the direct application of existing multidimensional visualization techniques. To harness such discrete nature, we propose to utilize entropy related measures to enhance the visualization of categorical data. The entropy information is employed to guide the analysis, ordering, and filtering in visualizations of Scatter Plot Matrix and a variation of Parallel Sets.