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!Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
I have data that shows Location, shift, and weekday, and customer ID.
What I am trying to accomplish is finding the maximum number of customers on any day and any shift to determine the maximum customer limit at a location.
So I can say on any shift and on any day this location can hold x amount of customers. In the example below the max would be 3 at location A. If I can do this in a Measure that would be preferred. Any help is greatly appreciated.
My data looks like below:
| Location | Shift | Weekday | Customer ID | Max (Desired Output) |
| A | 1 | Monday | 1 | 3 |
| A | 1 | Monday | 2 | 3 |
| A | 1 | Monday | 3 | 3 |
| A | 1 | Tuesday | 4 | 3 |
| A | 2 | Monday | 5 | 3 |
| A | 2 | Tuesday | 6 | 3 |
| A | 2 | Tuesday | 7 | 3 |
Solved! Go to Solution.
This version should be simpler and more efficient:
MaxCustomers =
MAXX (
SUMMARIZE (
CALCULATETABLE ( Data, ALLEXCEPT ( Data, Data[Location] ) ),
Data[Location],
Data[Shift],
Data[Weekday],
"@Count", COUNT ( Data[Customer ID] )
),
[@Count]
)
This should work as a measure or a calculated column.
This version should be simpler and more efficient:
MaxCustomers =
MAXX (
SUMMARIZE (
CALCULATETABLE ( Data, ALLEXCEPT ( Data, Data[Location] ) ),
Data[Location],
Data[Shift],
Data[Weekday],
"@Count", COUNT ( Data[Customer ID] )
),
[@Count]
)
This should work as a measure or a calculated column.
Hi,
Please check the below picture and the attached pbix file.
MAX desired output: =
This looks like it works, but my table has ~500k rows. Doesn't look like its optimal for this. Any other thoughts or suggestions?
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Check out the February 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 61 | |
| 59 | |
| 42 | |
| 18 | |
| 15 |
| User | Count |
|---|---|
| 108 | |
| 100 | |
| 39 | |
| 29 | |
| 29 |