Information functions (SPSS Modeler)

Information functions

Last updated: Feb 12, 2025

Information functions (SPSS Modeler)

You can use information functions to gain insight into the values of a particular field. They're typically used to derive flag fields.

For example, the @BLANK function creates a flag field indicating records whose values are blank for the selected field. Similarly, you can check the storage type for a field using any of the storage type functions, such as is_string.

Table 1. CLEM information functions
Function	Result	Description
`@BLANK(FIELD)`	Boolean	Returns true for all records whose values are blank according to the blank-handling rules set in an upstream Type node or source node (Types tab).
`@NULL(ITEM)`	Boolean	Returns true for all records whose values are undefined. Undefined values are system null values, displayed in SPSS Modeler as $null$ .
`is_date(ITEM)`	Boolean	Returns true for all records whose type is a date.
`is_datetime(ITEM)`	Boolean	Returns true for all records whose type is a date, time, or timestamp.
`is_integer(ITEM)`	Boolean	Returns true for all records whose type is an integer.
`is_number(ITEM)`	Boolean	Returns true for all records whose type is a number.
`is_real(ITEM)`	Boolean	Returns true for all records whose type is a real.
`is_string(ITEM)`	Boolean	Returns true for all records whose type is a string.
`is_time(ITEM)`	Boolean	Returns true for all records whose type is a time.
`is_timestamp(ITEM)`	Boolean	Returns true for all records whose type is a timestamp.

Was the topic helpful?

0/1000