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Anonymous's avatar
Anonymous
Not applicable
5 years ago
Solved

Subtracting 2 different columns from 2 different tables

Hi,

 

I am trying to calculate the difference between 2 values from 2 different tables. The data model consists of 3 tables and 5 dimension tables. The 2 tables that have the columns does not have a direct relationship between them. I want the subtraction to take place only when there is a value in the 2 columns. Also, I want to have the total value of this measure.

 

The following screenshot presents the tables and the current measures that I managed to produce (not functioning well!!). I want the card to show 1140. It is showing the same number as the value in the second table which is the sum of the values of 'Value 1' in that table minus the sum of values in the 'Value 2'.

 

Here is the dax for the measure on the card:

Variance (Value 1 - Value 2)=
VAR __BASELINE_VALUE =
    CALCULATE(
        SUM('F: Forecasted Data'[Value 1]),
        'F: Confirmed Data'[Value 2] <> BLANK(), 'F: Forecasted Data'[Value 1] <> BLANK()
    )
VAR __MEASURE_VALUE = SUM('F: Confirmed Data'[Value 2])
RETURN
    IF(NOT ISBLANK(__MEASURE_VALUE) && NOT ISBLANK(__BASELINE_VALUE), __BASELINE_VALUE - __MEASURE_VALUE )
 
Here is the data model:

 

 
Thanks
Need Help
  • v-easonf-msft's avatar
    v-easonf-msft
    5 years ago

    Hi, Anonymous 

    Hope the following formula could work.

    Variance (Value 1 - Value 2) =
VAR tab =
    CROSSJOIN ( 'D:Location', 'D:Date' )
VAR tab2 =
    FILTER (
        ADDCOLUMNS (
            tab,
            "v1",
                CALCULATE (
                    SUM ( 'F: Forecasted Data'[Value 1] ),
                    FILTER (
                        tab,
                        [Date] = EARLIER ( 'D:Date'[Date] )
                            && [sheetName] = EARLIER ( 'D:Location'[sheetName] )
                    )
                ),
            "v2",
                CALCULATE (
                    SUM ( 'F: Confirmed Data'[Value 2] ),
                    FILTER (
                        tab,
                        [Date] = EARLIER ( 'D:Date'[Date] )
                            && [sheetName] = EARLIER ( 'D:Location'[sheetName] )
                    )
                )
        ),
        [v1] <> BLANK ()
            && [v2] <> BLANK ()
    )
RETURN
    SUMX ( tab2, [v1] - [v2] )

    Best Regards,
    Community Support Team _ Eason

3 Replies

  • amitchandak's avatar
    amitchandak
    Icon for Super User rankSuper User
    5 years ago

    Anonymous , Try return like

     

     

    return
    sumx(summarize('F: Forecasted Data', 'D: Location' [location], Date[Date], "_1", IF(NOT ISBLANK(__MEASURE_VALUE) && NOT ISBLANK(__BASELINE_VALUE), __BASELINE_VALUE - __MEASURE_VALUE )), [_1])

      • v-easonf-msft's avatar
        v-easonf-msft
        Icon for Community Support rankCommunity Support
        5 years ago

        Hi, Anonymous 

        Hope the following formula could work.

        Variance (Value 1 - Value 2) =
VAR tab =
    CROSSJOIN ( 'D:Location', 'D:Date' )
VAR tab2 =
    FILTER (
        ADDCOLUMNS (
            tab,
            "v1",
                CALCULATE (
                    SUM ( 'F: Forecasted Data'[Value 1] ),
                    FILTER (
                        tab,
                        [Date] = EARLIER ( 'D:Date'[Date] )
                            && [sheetName] = EARLIER ( 'D:Location'[sheetName] )
                    )
                ),
            "v2",
                CALCULATE (
                    SUM ( 'F: Confirmed Data'[Value 2] ),
                    FILTER (
                        tab,
                        [Date] = EARLIER ( 'D:Date'[Date] )
                            && [sheetName] = EARLIER ( 'D:Location'[sheetName] )
                    )
                )
        ),
        [v1] <> BLANK ()
            && [v2] <> BLANK ()
    )
RETURN
    SUMX ( tab2, [v1] - [v2] )

        Best Regards,
        Community Support Team _ Eason