In UNICOM Intelligence Reporter and the UNICOM Intelligence Professional Tables Option, you can use IBM SPSS Statistics numeric and string variables to create the axes of your tables provided that you define axis expressions for them. For more information, see Working with numeric variables.

Alternatively, by adding at least one value label that is not defined as a user-missing value to an IBM SPSS Statistics numeric or short-string variable, the IBM SPSS Statistics SAV DSC interprets the variable as an MDM single-response categorical variable and you can cross-tabulate it in UNICOM Intelligence Reporter.

Each value label is interpreted as a category in UNICOM Intelligence Reporter, provided it has not been defined as a user-missing value. When IBM SPSS Statistics numeric variables have many values, you might want to recode the values into ranges before you create the value labels. This enables you to reduce the number of categories to a more manageable level.

If your .sav file contains a set of variables that represent the responses to a multiple response question, you can force the IBM SPSS Statistics SAV DSC to interpret them as an MDM multiple-response categorical variable by defining them as an IBM SPSS Statistics multiple response set. However, this requires the IBM SPSS Statistics Tables add-on module.

Be careful if any of your IBM SPSS Statistics multiple response sets are multiple category sets and your .sav file contains the IBM SPSS Statistics system-missing value for all IBM SPSS Statistics variables in the set. The IBM SPSS Statistics SAV DSC presents this as an empty categorical response to the corresponding MDM multiple-response categorical variable, and UNICOM Intelligence Reporter then includes that case in the base calculation. For more information, see When the response set contains system-missing values.

For more information about recording IBM SPSS Statistics variables, adding value labels to IBM SPSS Statistics variables, and creating IBM SPSS Statistics multiple response sets, see the IBM SPSS Statistics documentation.