Forum Discussion
Help with virtual table/advanced summarize?
Hi Amit,
thanks for trying to help, much appreciated. I tried to use the two measures you suggeste but not getting the correct outcome either.
Normally I do include Calendar table in my files as you cant do much without these. I have used 'virtual tables' before where I needed to have a separate 'Month calendar' to get historical data grouped up as needed. I am just stuck with the calculation here as I dont know how to change the 'month calendar' into a week calendar and then I am unsure how to iterate correctly through this data.
Here is the file with the changes you suggested but still not getting the correct outcome. The debt for 15/03 should be 1566.90 (page 1), using your method, I am getting -220.40 (page 2).
On page one it is >0 filter, i check it
All the formula is comment should also work after >0 change
debtAmit =
var _min = Minx('Calendar','Calendar'[Date])
return
// CALCULATE(SUM(Data[Transaction Amount]), FILTER(Data, Data[Effective] <= max(Calendar[Date]) && Data[Leave Date] > max(Calendar[Date])),CROSSFILTER('Calendar'[Date],Data[Effective],None))
//CALCULATE(SUM(Data[Transaction Amount]), FILTER(Data, Data[Effective] <= _min && Data[Leave Date] >_min),CROSSFILTER('Calendar'[Date],Data[Effective],None))
sumx(SUMMARIZE(CALCULATETABLE(Data,filter(all(Data),Data[Effective] <= _min && Data[Leave Date] >_min)),Data[Customer ID],"_sum",sum(Data[Transaction Amount])),if([_sum]>0,[_sum],0))
//CALCULATE(sumx(SUMMARIZE(all(Data),Data[Customer ID], "Total Debt", CALCULATE(SUM(Data[Transaction Amount]), FILTER(Data, Data[Effective] <= DATE(2020,03,15) && Data[Leave Date] > DATE(2020,03,15)))),[Total Debt]),CROSSFILTER('Calendar'[Date],Data[Effective],None))
As of now only one uncommented and I merged into on measure
Appreciate your Kudos.