The PARETO Procedure
- Overview
-
Getting Started
-
Syntax
-
Details
-
ExamplesCreating Before-and-After Pareto ChartsCreating Two-Way Comparative Pareto ChartsHighlighting the "Vital Few"Highlighting Combinations of CategoriesHighlighting Combinations of CellsOrdering Rows and Columns in a Comparative Pareto ChartMerging Columns in a Comparative Pareto ChartCreating Weighted Pareto ChartsCreating Alternative Pareto ChartsCustomizing Inset Labels and Formatting ValuesSpecifying Inset Headers and PositionsManaging a Large Number of Categories
- References
Missing Values
By default, observations that have missing values of a process variable are not processed. If you specify the MISSING option, then missing values are treated as a Pareto category.
Likewise, observations that have missing values of the CLASS= variables are not processed by default. Missing values of the first CLASS= variable are treated as a level if the MISSING1 option is specified, and missing values of the second CLASS= variable are treated as a level if the MISSING2 option is specified.