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technologyLMM's avatar
technologyLMM
Frequent Visitor
3 years ago
Solved

Measure count

Hi,
i have created the following measure, which is working properly in the below table for each row, except of the grand total:
fyi, if there is a cross in a row, the last column (check measure) shall be 1.
 
check measure=
var a = [HFO ROB - Cons Dev (%)]
var b = [LFO ROB - Cons Dev (%)]
var c = [MGO ROB - Cons Dev (%)]
return
CALCULATE(COUNT('CII'[Vessel]),filter('cube_db telegrams', a>0.05 || b>0.05 || c>0.05))
 
However, in the last line, the total is not properly calculated. Grand total is 9, instead of 1. 
 

Could you please advise what am i missing?

 

thank you in advance

Need Help

3 Replies

  • sergej_og's avatar
    sergej_og
    Super User
    3 years ago

    I think your processing result (=9) is correct. You calculate a count of vessels.
    You have 9 rows above your Total line. Your result = 9.
    Behind the scenes the "Total" line consists of 9 rows (in your case). These 9 rows contain cross (red) and checks (green). Both categories. How to decide for DAX when both cases are present?
    For DAX there no explicit filter context for "Total" like in each row above.

    But I know what you mean!
    It is bit confusing.

  • Anonymous's avatar
    Anonymous
    Not applicable
    3 years ago

    Hi technologyLMM ,

     

    There are different ways to fix this issue, depending on your specific situation and desired outcome. Some possible solutions are:

    Use the HASONEFILTER or HASONEVALUE functions to check if there is only one value in the filter context and return a different calculation for the total row. Here is the updated measure:

    check measure =
VAR a = [HFO ROB - Cons Dev (%)]
VAR b = [LFO ROB - Cons Dev (%)]
VAR c = [MGO ROB - Cons Dev (%)]
RETURN
IF(
    HASONEVALUE('CII'[Vessel]),
    CALCULATE(COUNT('CII'[Vessel]), FILTER('cube_db telegrams', a > 0.05 || b > 0.05 || c > 0.05)),
    COUNT('CII'[Vessel])
)


    Use the SUMMARIZE or SUMMARIZECOLUMNS functions to create a table with the desired level of granularity and then apply your measure to that table.


    Use the DIVIDE function to handle any division by zero errors that might affect the total row.

               

    Reference:

    Fix Bad Measure Totals in Power BI and Power Pivot - YouTube

    Power BI Shows Incorrect Measure Total? How to fix it? - YouTube

    Solved: Grand total calculation - Microsoft Fabric Community

    Fixing Incorrect Totals Using DAX Measures In Power BI | Enterprise DNA

    Solved: Re: Incorrect Grand Total of measures - Microsoft Fabric Community

     

     

                                                                                                                                                

    Best Regards,

    Stephen Tao

     

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