I have a table with shipment number ,dates and a measure "Backlog". Need to calculate the Total backlog of that shipment and consider the latest date value.
Date | Shipment | Measure(backlog) | Required Backlog (last date value) |
30/10/2022 | AX | 720 | 0 |
31/10/2022 | AX | 0 | 0 |
30/10/2022 | BX | 840 | 0 |
31/10/2022 | BX | 0 | 0 |
30/10/2022 | CX | 35 | 0 |
31/10/2022 | CX | 12 | 12 |
Solved! Go to Solution.
Hi,
Please check the below picture and the attached pbix file.
It is for creating a new column
Required backlog CC =
VAR _latestdate =
MAXX (
FILTER ( Data, Data[Shipment] = EARLIER ( Data[Shipment] ) ),
Data[Date]
)
VAR _backlog =
MAXX (
FILTER (
Data,
Data[Shipment] = EARLIER ( Data[Shipment] )
&& Data[Date] = _latestdate
),
Data[Measure(backlog)]
)
RETURN
IF ( Data[Measure(backlog)] = _backlog, _backlog, 0 )
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
Hi,
Please check the below picture and the attached pbix file.
It is for creating a new column
Required backlog CC =
VAR _latestdate =
MAXX (
FILTER ( Data, Data[Shipment] = EARLIER ( Data[Shipment] ) ),
Data[Date]
)
VAR _backlog =
MAXX (
FILTER (
Data,
Data[Shipment] = EARLIER ( Data[Shipment] )
&& Data[Date] = _latestdate
),
Data[Measure(backlog)]
)
RETURN
IF ( Data[Measure(backlog)] = _backlog, _backlog, 0 )
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
Power BI release plans for 2023 release wave 1 describes all new features releasing from April 2023 through September 2023.
Make sure you register today for the Power BI Summit 2023. Don't miss all of the great sessions and speakers!
User | Count |
---|---|
113 | |
71 | |
49 | |
33 | |
31 |
User | Count |
---|---|
143 | |
95 | |
84 | |
48 | |
42 |