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Transcript
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.
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