Forum Discussion
Merge in a single Line Chart two visuals with different dates columns
- Anonymous4 years ago
Hi Anonymous ,
I suggest you to create a virtual table in var and then calculate the running total.
My measure:
IFD_Actual = VAR _VIRTUAL_TABLE = ADDCOLUMNS ( ALL ( 'Date 1' ), "TEST", CALCULATE ( COUNT ( 'MODEL 60'[IFD Actual] ), USERELATIONSHIP ( 'MODEL 60'[IFD Actual], 'Date 1'[Date] ) ) ) RETURN SUMX ( FILTER ( _VIRTUAL_TABLE, [Date] <= MAX ( 'Date 1'[Date] ) ), [TEST] )In my sample, [Date] column in my table visual is from 'Date 1'. So the filter in sumx is [Date] (from virtual table) <= MAX('Date1'[Date]).
Note: We need to add the [Date] column in table visual in Max field in sumx filter.
Best Regards,
Rico ZhouIf this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
I'm close, I need only that the IFD actual count has a cumulative function
Hi Anonymous ,
I suggest you to create a virtual table in var and then calculate the running total.
My measure:
IFD_Actual =
VAR _VIRTUAL_TABLE =
ADDCOLUMNS (
ALL ( 'Date 1' ),
"TEST",
CALCULATE (
COUNT ( 'MODEL 60'[IFD Actual] ),
USERELATIONSHIP ( 'MODEL 60'[IFD Actual], 'Date 1'[Date] )
)
)
RETURN
SUMX ( FILTER ( _VIRTUAL_TABLE, [Date] <= MAX ( 'Date 1'[Date] ) ), [TEST] )
In my sample, [Date] column in my table visual is from 'Date 1'. So the filter in sumx is [Date] (from virtual table) <= MAX('Date1'[Date]).
Note: We need to add the [Date] column in table visual in Max field in sumx filter.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.