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 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?
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 |
|---|---|
| 48 | |
| 45 | |
| 41 | |
| 20 | |
| 18 |
| User | Count |
|---|---|
| 69 | |
| 64 | |
| 32 | |
| 31 | |
| 27 |