Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowTry your skills in the Power BI Dataviz World Championship! Round one ends June 26. Join now
I have a table currently that I want to create a unique row for an ID for with the columns where values are not null, have that date. See table below (current table) and then see what I am trying to create (future table).
| REF_ID | IA Date | SDO Date |
| 72548 | 1/23/2023 | null |
| 72548 | null | 1/24/2023 |
| 71657 | 2/1/2023 | null |
| 71657 | null | 2/5/2023 |
| 76546 | 12/23/2022 | null |
| 76546 | null | 1/8/2023 |
| 75432 | 2/4/2023 | null |
| 75432 | null | 2/4/2023 |
FUTURE TABLE:
| REF_ID | IA Date | SDO Date |
| 72548 | 1/23/2023 | 1/24/2023 |
| 71657 | 2/1/2023 | 2/5/2023 |
| 76546 | 12/23/2022 | 1/8/2023 |
| 75432 | 2/4/2023 | 2/4/2023 |
hi @LaurenTSloa
you can plot a table visual with the mentioned three columns directly and choose latest for both data columns, like:
or you create a calculated table with:
tbl2 =
ADDCOLUMNS(
VALUES(tbl[REF_ID]),
"IA Date", CALCULATE(MAX(tbl[IA Date])),
"SDO Date", CALCULATE(MAX(tbl[SDO Date]))
)it worked like:
Create a summary table...
SummaryTable = SUMMARIZE(TableName,REF_IDIA,"Date",MAX([Date]),"SDO Date",MAX([SDO Date]))
| User | Count |
|---|---|
| 2 | |
| 2 | |
| 2 | |
| 1 | |
| 1 |