I have 3 tables (FACT1, FACT2, DIM1, DIM2)
FACT1:
Code Month Value
058 1 500
059 1 600
061 1 700
058 2 1000
059 2 1000
061 2 1000
FACT2:
Service Month Status Value
058-buy 1 OK 700
059-purchase 1 Missing 800
061-trade 1 OK 900
058-buy 2 OK 300
059-purchase 2 Missing 400
061-trade 2 OK 500
DIM1:
Code Service
058 058-buy
059 059-purchase
061 061-trade
DIM2:
Month Name
1 January
2 February
3 March
I have all 4 tables loaded into Data Model in Excel and created a new measure in FACT1
Value Total:=sum([Value]) sumx(FILTER('FACT2','FACT2'[Status]="OK"),'FACT2'[VALUE])
I have also created relationship between tables: FACT1(Code) to DIM1(Code) FACT2(Service) to DIM1(Service) FACT1(Month) to DIM2(Month) FACT2(Month) to DIM2(Month)
However, when I insert a new pivot using the data model by having Code from DIM1 on "ROW" Month from FACT1 on "COLUMN" New Measure Value Total on "Values"
I get something like this:
Code 1 2 Grand Total
058 1500 2000 2500
059 600 1000 1600
061 2100 2400 3100
Grand Total 4200 5400 7200
Somehow it will get sliced by Month properly, but if you pay attention to the last column of the pivot table Grand Total
, they are correct! 2500 is indeed 500 700 1000 300
, 1600 is indeed 600 1000
, 3100 is indeed 700 900 1000 500
The final grand total for the above 3 is correct at 7200 too.
Now the question is why the middle part of the pivot tables acts oddly?
CodePudding user response:
For your Pivot Table, use Month from the DIM2
table, not the FACT1
table. With your current set-up, FACT1
cannot filter the FACT2
table, though DIM2
can.