topic Re: need to get sum across dimension in App Development

need to get sum across dimension

musketeers — Wed, 01 Apr 2026 08:04:14 GMT

Hi, I have a table where I have let say 3 columns. Product_Name, Test_Result, Error_Code. Example:

Product_Name	Test_result	Error_Code
P1	PASS
P2	PASS
P3	PASS
P4	FAIL	1
P5	FAIL	1
P6	FAIL	2
P7	FAIL	3
P8	FAIL	2
P9	FAIL	3
P10	FAIL	1

I need to create a table chart where dimension in Test_Result and measure is count of test_result.

The issue is:

requirement is that when user select any error code let say error code = 2, all the other error code should be considered as pass. so in case when error code 2 is selected, Fail count is 2 and pass count is 8

for me 'fail' dimension is fine. But for dimension value 'Pass', i am unable to produce 8. could you please help me to acheive this.

Load script for the above dummy data is:

LOAD * Inline [

Product_Name , Test_result , Error_Code
P1, PASS,
P2, PASS,
P3, PASS,
P4, FAIL, 1
P5, FAIL, 1
P6, FAIL, 2
P7, FAIL, 3
P8, FAIL, 2
P9, FAIL, 3
P10, FAIL, 1
];

Re: need to get sum across dimension

marcus_sommer — Wed, 01 Apr 2026 10:14:53 GMT

At first I would try to create a view for the wanted information without the dimension "Test_result" by using two expressions, like:

count({< Error_Code = p(Error_Code)>} Test_result)
count({< Error_Code = e(Error_Code)>} Test_result)

If this isn't feasible a next step may go to create a calculated dimension, like:

valuelist('PASS', 'FAIL')

and then assigning the above shown expressions to the values, for example:

pick(match(valuelist('PASS', 'FAIL'), 'PASS', 'FAIL'),
count({< Error_Code = e(Error_Code)>} Test_result),
count({< Error_Code = p(Error_Code)>} Test_result))

Re: need to get sum across dimension

Daniel_Castella — Wed, 01 Apr 2026 11:04:18 GMT

Hi @musketeers

Try a table with the following dimension and measure:

Dimension:

If(GetSelectedCount(Error_Code)<>1, Test_result, if(Error_Code=GetFieldSelections(Error_Code),'FAIL','PASS'))

Measure:

Count({<Error_Code= >}Test_result)

It seems to work for me:

Kind Regards

Daniel