Skip to main content Skip to complementary content

RangeMissingCount - script and chart function

RangeMissingCount() returns the number of non-numeric values (including NULL) in the expression or field.

Syntax:  

RangeMissingCount(first_expr[, Expression])

Return data type: integer

Arguments:  

The argument of this function may contain inter-record functions which in themselves return a list of values.

  • first_expr: The expression or field containing the data to be counted.
  • Expression: Optional expressions or fields containing the range of data to be counted.

Examples:  

Examples and results
Example Result
RangeMissingCount (1,2,4)

Returns 0

RangeMissingCount (5,'abc') Returns 1
RangeMissingCount (null( ))

Returns 1

Example: (using expression)

RangeMissingCount (Above(MinString(MyField),0,3))

Returns the number of non-numeric values in the three results of the MinString(MyField) function evaluated on the current row and two rows above the current row.

Tip noteDisable sorting of MyField to ensure that example works as expected.
Example expression output
MyField RangeMissingCount(Above(MinString(MyField),0,3)) Explanation
10 2 Returns 2 because there are no rows above this row so 2 of the 3 values are missing.
abc 2 Returns 2 because there is only 1 row above the current row and the current row is non-numeric ('abc').
8 1 Returns 1 because 1 of the 3 rows includes a non-numeric ('abc').
def 2 Returns 2 because 2 of the 3 rows include non-numeric values ('def' and 'abc').
xyz 2 Returns 2 because 2 of the 3 rows include non-numeric values (' xyz' and 'def').
9 2 Returns 2 because 2 of the 3 rows include non-numeric values (' xyz' and 'def').

Data used in examples:

RangeTab:

LOAD * INLINE [

MyField

10

'abc'

8

'def'

'xyz'

9

] ;

Learn more

 

Did this page help you?

If you find any issues with this page or its content – a typo, a missing step, or a technical error – let us know how we can improve!

Join the Analytics Modernization Program

Remove banner from view

Modernize without compromising your valuable QlikView apps with the Analytics Modernization Program. Click here for more information or reach out: ampquestions@qlik.com