Descriptive Statistics

The descriptive statistics table provides summary information on the binning input variables. The first four columns concern the pre-binned values.

• N is the number of cases used in the analysis. When listwise deletion of missing values is used, this value should be constant across variables. When pairwise missing value handling is used, this value may not be constant. Since this dataset has no missing values, the value is simply the number of cases.
• The Minimum and Maximum columns show the (pre-binning) minimum and maximum values in the dataset for each binning input variable. In addition to giving a sense of the observed range of values for each variable, these can be useful for catching values outside the expected range.
• The Number of Distinct Values tells you which variables were preprocessed using the equal frequencies algorithm. By default, variables with more than 1000 distinct values (Household income in thousands through Other debt in thousands) are pre-binned into 1000 distinct bins. These preprocessed bins are then binned against the guide variable using MDLP. You can control the preprocessing feature on the Options tab.
• The Number of Bins is the final number of bins generated by the procedure and is much smaller than the number of distinct values.

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