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Anonymous
Not applicable

Calculation of baseline and issuemix values in powerbi

Hi All 

 

I am new to Power BI and stuck in a problem. There is a sample data below. 

 

 

        
response_yearresponse_weekresponse_monthresponse_channelmarketplace_typeorder_journey_nodecount_Bcount_A
2022215SurveyLocal_shopKarnataka468
2022215SurveyLocal_shopKarnataka91
2022215SurveyLocal_shopKarnataka10
2022215SurveyLocal_shopKarnataka114
2022215SurveyLocal_shopOdisha10
2022215SurveyLocal_shopOdisha10
2022215SurveyLocal_shopChattisgarh10
2022215SurveyLocal_shopChattisgarh10
2022215SurveyLocal_shopChattisgarh10
2022215SurveyLocal_shopPunjab122
2022215SurveyLocal_shopPunjab10
2022215SurveyLocal_shopMaharashtra20
2022215SurveyLocal_shopMaharashtra123
2022215SurveyLocal_shopMaharashtra11
2022215SurveyLocal_shopMaharashtra10
2022215SurveyLocal_shopUP218
2022215SurveyLocal_shopUP40
2022215SurveyLocal_shopUP31
2022215SurveyLocal_shopUP10
2022215SurveyLocal_shopAssam415

 

 

i need the output like this 

 

 

 Sum of count_BSum of RR   
Row Labels20212021deltabaseline issuemix
Assam5.09%6.64%85.00%14.00%-71.00%-3.6132315521628500%0.22%
Chattisgarh0.51%0.40%100.00%0.00%-100.00%-0.5089058524173030%0.00%
Gujrat63.10%60.96%83.47%31.37%-52.10%-32.8743202115452000%-0.67%
Karnataka3.05%21.78%66.67%54.27%-12.40%-0.3785763048470180%10.16%
Kerela2.04%0.80%75.00%16.67%-58.33%-1.1874469889737100%-0.21%
Maharashtra4.58%2.12%77.78%25.00%-52.78%-2.4173027989821900%-0.61%
Odisha5.34%0.27%76.19%0.00%-76.19%-4.0712468193384200%0.00%
Punjab0.51%1.73%50.00%15.38%-34.62%-0.1761597181444510%0.19%
Rajasthan3.31%1.46%46.15%9.09%-37.06%-1.2260004626416800%-0.17%
UP12.47%3.85%61.22%31.03%-30.19%-3.7641484601210800%-2.67%
Grand Total100.00%100.00%78.12%34.13%-43.99%-50.22%6.23%

 

Sum of count_B has % of column total 

Sum of RR = count_b / count_A 

 

 

i wanted to know how to calculate baseline and issuemix formula in power bi from the sample data .

 

the baseline formula is :  (Sum of RR[21] - Sum of RR[20]) * Sum of count_B[20]

the issuemix formula is: : (Sum of count_B[21] - Sum of count_B[20]) * Sum of RR[21]

 

 

i got this output in excel but the values in my dax it's showing error. Unable to find the logic of these 2 formula. Please help

1 ACCEPTED SOLUTION
Anonymous
Not applicable

HI @Anonymous,

You can take a look at the following formulas if help:

sum of countB =
CALCULATE (
    DIVIDE (
        CALCULATE ( SUM ( Table[count_B] ), VALUES ( Table[order_journey_node] ) ),
        SUM ( Table[count_B] )
    ),
    ALLSELECTED ( Table ),
    VALUES ( Table[response_year] ),
    VALUES ( Table[response_week] )
)

sum of countPR =
CALCULATE (
    DIVIDE ( SUM ( Table[count_B] ), SUM ( Table[count_A] ) ),
    ALLSELECTED ( Table ),
    VALUES ( Table[response_year] ),
    VALUES ( Table[response_week] ),
    VALUES ( Table[order_journey_node] )
)

Baseline =
VAR currWeek =
    MAX ( Table[response_week] )
RETURN
    CALCULATE (
        CALCULATE (
            DIVIDE ( SUM ( Table[count_B] ), SUM ( Table[count_A] ) ),
            Table[response_week] = currWeek
        ),
        CALCULATE (
            DIVIDE ( SUM ( Table[count_B] ), SUM ( Table[count_A] ) ),
            Table[response_week] = currWeek - 1
        ),
        ALLSELECTED ( Table ),
        VALUES ( Table[response_year] ),
        VALUES ( Table[order_journey_node] )
    )
        * CALCULATE (
            DIVIDE (
                CALCULATE ( SUM ( Table[count_B] ), VALUES ( Table[order_journey_node] ) ),
                SUM ( Table[count_B] )
            ),
            FILTER ( ALLSELECTED ( Table ), Table[response_week] = currWeek - 1 ),
            VALUES ( Table[response_year] )
        )

issuemix =
VAR currWeek =
    MAX ( Table[response_week] )
RETURN
    CALCULATE (
        CALCULATE (
            DIVIDE (
                CALCULATE ( SUM ( Table[count_B] ), VALUES ( Table[order_journey_node] ) ),
                SUM ( Table[count_B] )
            ),
            Table[response_week] = currWeek
        )
            - CALCULATE (
                DIVIDE (
                    CALCULATE ( SUM ( Table[count_B] ), VALUES ( Table[order_journey_node] ) ),
                    SUM ( Table[count_B] )
                ),
                Table[response_week] = currWeek - 1
            ),
        ALLSELECTED ( Table ),
        VALUES ( Table[response_year] )
    )
        * CALCULATE (
            CALCULATE (
                DIVIDE ( SUM ( Table[count_B] ), SUM ( Table[count_A] ) ),
                Table[response_week] = currWeek
            ),
            ALLSELECTED ( Table ),
            VALUES ( Table[response_year] ),
            VALUES ( Table[order_journey_node] )
        )

Regards,

Xiaoxin Sheng

View solution in original post

2 REPLIES 2
Anonymous
Not applicable

HI @Anonymous,

You can take a look at the following formulas if help:

sum of countB =
CALCULATE (
    DIVIDE (
        CALCULATE ( SUM ( Table[count_B] ), VALUES ( Table[order_journey_node] ) ),
        SUM ( Table[count_B] )
    ),
    ALLSELECTED ( Table ),
    VALUES ( Table[response_year] ),
    VALUES ( Table[response_week] )
)

sum of countPR =
CALCULATE (
    DIVIDE ( SUM ( Table[count_B] ), SUM ( Table[count_A] ) ),
    ALLSELECTED ( Table ),
    VALUES ( Table[response_year] ),
    VALUES ( Table[response_week] ),
    VALUES ( Table[order_journey_node] )
)

Baseline =
VAR currWeek =
    MAX ( Table[response_week] )
RETURN
    CALCULATE (
        CALCULATE (
            DIVIDE ( SUM ( Table[count_B] ), SUM ( Table[count_A] ) ),
            Table[response_week] = currWeek
        ),
        CALCULATE (
            DIVIDE ( SUM ( Table[count_B] ), SUM ( Table[count_A] ) ),
            Table[response_week] = currWeek - 1
        ),
        ALLSELECTED ( Table ),
        VALUES ( Table[response_year] ),
        VALUES ( Table[order_journey_node] )
    )
        * CALCULATE (
            DIVIDE (
                CALCULATE ( SUM ( Table[count_B] ), VALUES ( Table[order_journey_node] ) ),
                SUM ( Table[count_B] )
            ),
            FILTER ( ALLSELECTED ( Table ), Table[response_week] = currWeek - 1 ),
            VALUES ( Table[response_year] )
        )

issuemix =
VAR currWeek =
    MAX ( Table[response_week] )
RETURN
    CALCULATE (
        CALCULATE (
            DIVIDE (
                CALCULATE ( SUM ( Table[count_B] ), VALUES ( Table[order_journey_node] ) ),
                SUM ( Table[count_B] )
            ),
            Table[response_week] = currWeek
        )
            - CALCULATE (
                DIVIDE (
                    CALCULATE ( SUM ( Table[count_B] ), VALUES ( Table[order_journey_node] ) ),
                    SUM ( Table[count_B] )
                ),
                Table[response_week] = currWeek - 1
            ),
        ALLSELECTED ( Table ),
        VALUES ( Table[response_year] )
    )
        * CALCULATE (
            CALCULATE (
                DIVIDE ( SUM ( Table[count_B] ), SUM ( Table[count_A] ) ),
                Table[response_week] = currWeek
            ),
            ALLSELECTED ( Table ),
            VALUES ( Table[response_year] ),
            VALUES ( Table[order_journey_node] )
        )

Regards,

Xiaoxin Sheng

Anonymous
Not applicable

Hi Xiaoxin Sheng

 

Thank you for providing the solution. thw solution works

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