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Bow to Visualize Your Data Distribution Bob Rodriquez, SAS Institute, Inc. Abstract Understanding the distribution of your data is an important preliminary step in data mining and statistical analysis. Visualizing a distribution can help you uncover structure, identifY outliers, and make comparisons. It can also guide your choice of an appropriate distributional model, which you can use to compute probabilities and percentiles, and it can validate the assumptions you need for subsequent analysis. This talk demonstrates how to create a variety of useful displays, including comparative histograms, probability plots, and boxplots, and it demonstrates how to obtain fits and smooths for distributional data. This talk covers new graphical displays in the UNIVARIATE and BOXPLOT procedures. The completed paper was not available at press time. 137