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## 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, is anyone able to provide some tips on how i would approach this?

 Engagement CountEngagement Engaged 36 Disengaged 7 Actively Disengaged 1

The end goal is to take the above columns into a pie chart.

Thank you!

2 ACCEPTED SOLUTIONS
Super User

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]))
)

Community Support

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,

Community Support Team _ Dong Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
7 REPLIES 7

Hi, Don't think i can use the query editor to transform as these are measures.

Super User

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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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!!

Community Support

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,

Community Support Team _ Dong Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

This worked perfectly, thank you! very simple approach.

Super User

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]))
)

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