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Hi Experts
I have the following set analysis
Sum({$<[DATA_TYPE]={'SUMMARY'}, [BOOK3YRS]={'3'}>}LONG_TERM_DISALLOWED_LOSS)
in the table , Book3Yrs are all null, so i'd expect to get a zero, but the result seems to ignore the book3yrs.
Why is that and how do i correct the issue?
thanks!
Hi @alexpanjhc , i tried modifyng your set analysis formula without good luke. Hope someone else have the answer.
But, i have 2 options for you that maybe works:
1.-
The problem is with the null values from the data, so you can make a little code in your load script, changing null to empty :
if(isnull(BOOK3YRS_1), '', BOOK3YRS_1) as BOOK3YRS
With that, your formula works fine.
2.-
Try with the normal IF :
Sum(if([DATA_TYPE] = 'SUMMARY' and [BOOK3YRS] = '3', LONG_TERM_DISALLOWED_LOSS))
with that your formula works fine too
Hi @alexpanjhc , i tried modifyng your set analysis formula without good luke. Hope someone else have the answer.
But, i have 2 options for you that maybe works:
1.-
The problem is with the null values from the data, so you can make a little code in your load script, changing null to empty :
if(isnull(BOOK3YRS_1), '', BOOK3YRS_1) as BOOK3YRS
With that, your formula works fine.
2.-
Try with the normal IF :
Sum(if([DATA_TYPE] = 'SUMMARY' and [BOOK3YRS] = '3', LONG_TERM_DISALLOWED_LOSS))
with that your formula works fine too
Your field has to have at least one value to get the desired value w.r.t the set analysis. Null is no-value, hence it doesn't check the filter condition (in symbol table). You can can try creating a blank value for null like below, and then it should work fine.
NullAsValue '*';
Set NullValue='';
It is as @tresesco is saying. You need at least one non null value in your data set. One way to achieve this is to adda "empty" row containing a (any) value to the BOOK3YRS-column. In my script blow I created blank ' ' value on my final row (All other fields are set to null() in this example).
set NullInterpret =''; //Used to ensure that I get correct null values from my empty inline[] values
LOAD * inline [
DATA_TYPE, BOOK3YRS, LONG_TERM_DISALLOWED_LOSS
STRING, , 100
NUM, , 200
DATE, , 300
SUMMARY, , 600
, " ",
];
thank you! i should have thought about it.