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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!
Solved! Go to Solution.
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]))
)
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,
Refer if this can help
https://radacad.com/pivot-and-unpivot-with-power-bi
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, Don't think i can use the query editor to transform as these are measures.
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 @
Thanks. My Recent Blog -
https://community.powerbi.com/t5/Community-Blog/Winner-Topper-on-Map-How-to-Color-States-on-a-Map-wi...
https://community.powerbi.com/t5/Community-Blog/HR-Analytics-Active-Employee-Hire-and-Termination-tr...
https://community.powerbi.com/t5/Community-Blog/Power-BI-Working-with-Non-Standard-Time-Periods/ba-p...
https://community.powerbi.com/t5/Community-Blog/Comparing-Data-Across-Date-Ranges/ba-p/823601
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!!
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,
This worked perfectly, thank you! very simple approach.
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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