Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Vote for your favorite vizzies from the Power BI Dataviz World Championship submissions. Vote now!
Is there a way to filter the data based on the date column. For example -
| Product | Cost | Date |
| 1 | 3 | 1/4/2023 |
| 1 | 4 | 12/5/2022 |
| 1 | 5 | 12/20/2022 |
From the above table, I only need 1st row for product 1 which has the latest date and it would be the same for other products.
| Product | Cost | Date |
| 1 | 3 | 1/4/2023 |
Solved! Go to Solution.
Hi @Anonymous ,
Select your [Product] column and go to the Home tab > Group By.
Call the aggregated column 'data' and use the All Rows operator.
Now add a new custom column with the following code:
Table.Max([data], "Date")
This will give you a nested RECORD column that you can expand to reinstate the columns you need from the row that has the max date per product.
Working example code:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Vc1BCkAhCIThu7gOdMaC3lmi+1/jKUHh4t98jLiWQJp4ZF0NSqPLbod78lAwmZdHRCvMoJlraBwU/iJMBSrDcu7v5/4B", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Product = _t, Cost = _t, Date = _t]),
chgTypes = Table.TransformColumnTypes(Source,{{"Product", Int64.Type}, {"Cost", Int64.Type}, {"Date", type date}}),
groupProduct = Table.Group(chgTypes, {"Product"}, {{"data", each _, type table [Product=nullable number, Cost=nullable number, Date=nullable date]}}),
addMaxRecord = Table.AddColumn(groupProduct, "maxRecord", each Table.Max([data], "Date")),
expandMaxRecord = Table.ExpandRecordColumn(addMaxRecord, "maxRecord", {"Cost", "Date"}, {"Cost", "Date"})
in
expandMaxRecord
Example output:
Pete
Proud to be a Datanaut!
That's what I said! 🙂
There are lots of ways to do this. I've written up a few of them here:
https://community.powerbi.com/t5/Community-Blog/Select-Distinct-Rows-Ordered-by-Another-Column-Power...
Even easier to group by and add the max aggregation to the date column in the same GUI dialog.
--Nate
Except that it doesn't guarantee that you get the correct [cost] value associated with the latest [Date] row.
Pete
Proud to be a Datanaut!
Hi,
This post explains how to do it for Decimal value, you can follow the same approach for Dates :
https://gorilla.bi/power-query/using-table-max/
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous ,
Select your [Product] column and go to the Home tab > Group By.
Call the aggregated column 'data' and use the All Rows operator.
Now add a new custom column with the following code:
Table.Max([data], "Date")
This will give you a nested RECORD column that you can expand to reinstate the columns you need from the row that has the max date per product.
Working example code:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Vc1BCkAhCIThu7gOdMaC3lmi+1/jKUHh4t98jLiWQJp4ZF0NSqPLbod78lAwmZdHRCvMoJlraBwU/iJMBSrDcu7v5/4B", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Product = _t, Cost = _t, Date = _t]),
chgTypes = Table.TransformColumnTypes(Source,{{"Product", Int64.Type}, {"Cost", Int64.Type}, {"Date", type date}}),
groupProduct = Table.Group(chgTypes, {"Product"}, {{"data", each _, type table [Product=nullable number, Cost=nullable number, Date=nullable date]}}),
addMaxRecord = Table.AddColumn(groupProduct, "maxRecord", each Table.Max([data], "Date")),
expandMaxRecord = Table.ExpandRecordColumn(addMaxRecord, "maxRecord", {"Cost", "Date"}, {"Cost", "Date"})
in
expandMaxRecord
Example output:
Pete
Proud to be a Datanaut!
Vote for your favorite vizzies from the Power BI World Championship submissions!
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 8 | |
| 6 | |
| 4 | |
| 4 | |
| 3 |
| User | Count |
|---|---|
| 12 | |
| 11 | |
| 7 | |
| 7 | |
| 6 |