Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreWe've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now
Hello,
I'm having some trouble getting the following table to work.
I have the following database (it's simplified, I actually have information in different connected tables 😞
I want a matrix table summarized by the amount of each product for the max date (and within that date, I want the row with the max "Id"). The highlighted rows are the desired ones for the output.
The resulting matrix should look like this:
So I'd have a measure that returns the most recent amount (highest "date", then highest "Id") for each product, and summarize the group with the sum for each item. I tried using SUMMARIZE with no success.
Thanks in advance!
Solved! Go to Solution.
Hi @lucasattom ,
I think you can try this code to create a measure.
Output =
VAR _AddColumn =
ADDCOLUMNS (
FILTER ( 'Table', 'Table'[Date] = MAX ( 'Table'[Date] ) ),
"MAXID",
CALCULATE (
MAX ( 'Table'[Id] ),
FILTER (
ALLEXCEPT ( 'Table', 'Table'[Category], 'Table'[Product] ),
'Table'[Date] = MAX ( 'Table'[Date] )
)
)
)
VAR _Filter =
FILTER ( _AddColumn, [Id] = [MAXID] )
RETURN
SUMX ( _Filter, [Amount] )
Result is as below.
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.
Hi @lucasattom ,
I think you can try this code to create a measure.
Output =
VAR _AddColumn =
ADDCOLUMNS (
FILTER ( 'Table', 'Table'[Date] = MAX ( 'Table'[Date] ) ),
"MAXID",
CALCULATE (
MAX ( 'Table'[Id] ),
FILTER (
ALLEXCEPT ( 'Table', 'Table'[Category], 'Table'[Product] ),
'Table'[Date] = MAX ( 'Table'[Date] )
)
)
)
VAR _Filter =
FILTER ( _AddColumn, [Id] = [MAXID] )
RETURN
SUMX ( _Filter, [Amount] )
Result is as below.
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.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 55 | |
| 34 | |
| 31 | |
| 19 | |
| 17 |
| User | Count |
|---|---|
| 74 | |
| 71 | |
| 38 | |
| 35 | |
| 25 |