Filtering rows by aggregation

[Anonymous]

Hi guys,

I have a big problem with finding a solution. We want to reduce the number of shipments to <= 2 per month, per part number. I want to count rows where it was 3rd or more shipment of a specific part number in a specific month. in the example below rows 3 and 6 should be counted. I can't use RANKX because it's DirectQuery.  I tried to create calculated grouped table but in table I have dates and I couldn't use YearMonth column from calendar table (related). Do you have any ideas? 

Row	Supplier	Part Number	Date	Tracking Number
1	0010	A	6/10/22	01
2	0010	A	6/11/22	02
3	0010	A	6/12/22	03
4	0020	B	6/13/22	04
5	0020	B	6/14/22	05
6	0030	B	6/15/22	06

[Anonymous · Accepted solution]

Hi @Anonymous ,

Please try this code to create a measure.

Count =
VAR _ADD =
    ADDCOLUMNS (
        ALL ( 'Table' ),
        "YearMonth",
            YEAR ( 'Table'[Date] ) * 100
                + MONTH ( 'Table'[Date] )
    )
VAR _ADD1 =
    ADDCOLUMNS (
        _ADD,
        "Flag",
            RANKX (
                FILTER (
                    _ADD,
                    [Part Number] = EARLIER ( [Part Number] )
                        && [YearMonth] = EARLIER ( [YearMonth] )
                ),
                [Date],
                ,
                ASC,
                DENSE
            )
    )
RETURN
    COUNTAX (
        FILTER ( _ADD1, [Part Number] = MAX ( 'Table'[Part Number] ) && [Flag] > 2 ),
        [Flag]
    )

 Result is as below.

Best Regards,
Rico Zhou

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

[Anonymous]

It works. Thank you.

[Anonymous]

EDIT. I want to count excesive shipments in total (without splitting to part numbers) and this need to work with Supplier slicer.