Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
I have a data set of units of equipment. The user enters a start date, an end date, and the Unit Reserved for that job. Powerquery then expands the data to populate a new row for every day that unit will be used:
eg.
5/24/2022 SC-0037
5/25/2022 SC-0038
5/26/2022 SC-0039 etc... Please refer to screenshot below
Because the data entry is manual, I need to know if a particular unit is double booked on a certain date. In excel I would do this:
=COUNTIFS ( C:C , C2 , G:G , G2 )
I've searched for over an hour and I can't figure out how to do the same thing in PowerBI. Please help
Solved! Go to Solution.
Hi @davidoz ,
I'm guessing you want a calculated column. You can build something like this:
CountDuplicates =
VAR _Check = CALCULATE(COUNTROWS(YOUR_TABLE), FILTER(YOUR_TABLE, YOUR_TABLE[Date] = EARLIER(YOUR_TABLE[Date]) && YOUR_TABLE[UnitReserved] = EARLIER(YOUR_TABLE[UnitReserved])))
RETURN
IF(_Check > 1, 1, 0)
Let me know if that works.
Hi @davidoz ,
I'm guessing you want a calculated column. You can build something like this:
CountDuplicates =
VAR _Check = CALCULATE(COUNTROWS(YOUR_TABLE), FILTER(YOUR_TABLE, YOUR_TABLE[Date] = EARLIER(YOUR_TABLE[Date]) && YOUR_TABLE[UnitReserved] = EARLIER(YOUR_TABLE[UnitReserved])))
RETURN
IF(_Check > 1, 1, 0)
Let me know if that works.
thank you! this worked perfectly!
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.
| User | Count |
|---|---|
| 45 | |
| 43 | |
| 39 | |
| 19 | |
| 15 |
| User | Count |
|---|---|
| 67 | |
| 66 | |
| 31 | |
| 28 | |
| 24 |