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aaron797's avatar
aaron797
Icon for Advocate I rankAdvocate I
6 years ago
Solved

Pivot Measures in Powerbi

Hi,   I have the below "measures" in powerBI that are calculated post data load.   Engaged Disengaged ActivelyDisengaged 36 7 1   I would like to pivot them into the below columns,...
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  • amitchandak's avatar
    amitchandak
    6 years ago

    Try this

    union(
SUMMARIZE(table, table[any Group by col], "Engagement","Engaged","CountEngagement" , sum(table[Engaged])),
SUMMARIZE(table, table[any Group by col], "Engagement","Disengaged","CountEngagement" , sum(table[Disengaged])),
SUMMARIZE(table, table[any Group by col], "Engagement","ActivelyDisengaged","CountEngagement" , sum(table[ActivelyDisengaged]))
)

     

    or

     

    union(
    SUMMARIZE(table, "Engagement","Engaged","CountEngagement" , sum(table[Engaged])),
    SUMMARIZE(table, "Engagement","Disengaged","CountEngagement" , sum(table[Disengaged])),
    SUMMARIZE(table, "Engagement","ActivelyDisengaged","CountEngagement" , sum(table[ActivelyDisengaged]))
    )

  • v-lid-msft's avatar
    v-lid-msft
    6 years ago

    Hi aaron797 ,

     

    We can create a Calculated table to store the name of enagement, then we can create a measure to calculate the result of each measure:

     

    Calculated Table:

     

    Engagement = DATATABLE("Engagement",STRING,{{"Engaged"},{"Disengaged"},{"Actively Disengaged"}})

     

     

    Measures:

     

    CountEngagement = SWITCH(SELECTEDVALUE(Engagement[Engagement]),"Engaged",[Engaged],"Disengaged",[Disengaged],"Actively Disengaged",[ActivelyDisengaged])

     

     


    Best regards,

     

amitchandak's avatar
amitchandak
Icon for Super User rankSuper User
6 years ago

A bit time-consuming way but the union and summarize can do

 

Summary = UNION(
SUMMARIZE('Table1','Table1'[Customer],'Table1'[created_date],'Table1'[DA Status],"Sales",sum('Table1'[Sales]),"Invoices",count('Table1'[ID]),"Time",DIVIDE(SUM('Table1'[Ship Time]),1),"Stage"," Ship","Gross",sum('Table1'[inv_amount]),"Net",Sum('Table1'[Net Calc Amount]))
,SUMMARIZE('Table2','Table2'[Customer],'Table1'[created_date],'Table2'[AA Status],"Sales",sum('Table2'[Sales]),"Invoices",count('Table2'[ID]),"Time",DIVIDE(SUM('Table1'[Order Time]),1),"Stage","Order","Gross",sum('Table1'[inv_amount]),"Net",Sum('Table1'[Net Calc Amount]))
)

 

Here "Stage","Order" and "Stage","Ship" are static columns created. You will union for each measure and the use static column to put the name of the measure.

All groups by will come without the name, followed by grouped data with name , formula

and static name, disp name

 

Appreciate your Kudos. In case, this is the solution you are looking for, mark it as the Solution. In case it does not help, please provide additional information and mark me with @
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https://community.powerbi.com/t5/Community-Blog/Comparing-Data-Across-Date-Ranges/ba-p/823601

 

 

aaron797's avatar
aaron797
Icon for Advocate I rankAdvocate I
6 years ago

Hi Amit,

 

Thank you for the reply, I am having issues breaking down the below code, it is a bit beyond me, for instance DA Status/AA Status, Net Cal Amount etc. 

 

it would be greatly appreciated if you prepare the union statement with my columns above, or provide some further resources / explanation. 

 

Thank you very much!!

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

    Try this

    union(
SUMMARIZE(table, table[any Group by col], "Engagement","Engaged","CountEngagement" , sum(table[Engaged])),
SUMMARIZE(table, table[any Group by col], "Engagement","Disengaged","CountEngagement" , sum(table[Disengaged])),
SUMMARIZE(table, table[any Group by col], "Engagement","ActivelyDisengaged","CountEngagement" , sum(table[ActivelyDisengaged]))
)

     

    or

     

    union(
    SUMMARIZE(table, "Engagement","Engaged","CountEngagement" , sum(table[Engaged])),
    SUMMARIZE(table, "Engagement","Disengaged","CountEngagement" , sum(table[Disengaged])),
    SUMMARIZE(table, "Engagement","ActivelyDisengaged","CountEngagement" , sum(table[ActivelyDisengaged]))
    )

  • v-lid-msft's avatar
    v-lid-msft
    Icon for Community Support rankCommunity Support
    6 years ago

    Hi aaron797 ,

     

    We can create a Calculated table to store the name of enagement, then we can create a measure to calculate the result of each measure:

     

    Calculated Table:

     

    Engagement = DATATABLE("Engagement",STRING,{{"Engaged"},{"Disengaged"},{"Actively Disengaged"}})

     

     

    Measures:

     

    CountEngagement = SWITCH(SELECTEDVALUE(Engagement[Engagement]),"Engaged",[Engaged],"Disengaged",[Disengaged],"Actively Disengaged",[ActivelyDisengaged])

     

     


    Best regards,

     

    • aaron797's avatar
      aaron797
      Icon for Advocate I rankAdvocate I
      6 years ago

      This worked perfectly, thank you! very simple approach.