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NilR
Post Patron
Post Patron

How to reset count where yyyymm Date gaps exist

How can I add a condition to the below dax to identify the gap between 202209 and 202305 and reset the count?

-- Calc Column
Active_records = 
var _GP = Table[GP]
var indv_id = Table[ID]
var _end_date = Table[DATE]
var _DATE = EOMONTH(_end_date,-24)+1

VAR _COUNT = RANKX ( 
        FILTER (ALL(Table),
            Table[GP] = EARLIER(Table[GP])
            && Table[ID] = EARLIER(Table[ID])
            && Table[MALES_UNDER_35] = EARLIER(Table[MALES_UNDER_35])
            && Table[DATE] >= _DATE
            && Table[DATE] <= _end_date
        ),        
        Table[DATE],
        ,
        ASC,
        Dense
    )
 RETURN 
 
_COUNT

NilR_0-1693224505254.png

 

1 ACCEPTED SOLUTION

I ended up adding new field in sql using lag function then added to my calculated column!

View solution in original post

9 REPLIES 9
technolog
Super User
Super User

I hope this message finds you well. I've noticed that this solution remain unresolved. If any of you have managed to find a resolution to the issue, I kindly request that you share your solution for the benefit of the entire community. Alternatively, if you're still facing challenges, please do let us know as well.

Your insights and updates will greatly assist others who might be encountering the same challenge.

I could not figure it out!

GP YYYYMM DATE Active_records Desired Result
33 202105 5/1/21 1 1
33 202106 6/1/21 2 2
33 202107 7/1/21 3 3
33 202108 8/1/21 4 4
33 202109 9/1/21 5 5
33 202110 10/1/21 6 6
33 202111 11/1/21 7 7
33 202112 12/1/21 8 8
33 202201 1/1/22 9 9
33 202202 2/1/22 10 10
33 202203 3/1/22 11 11
33 202204 4/1/22 12 12
33 202205 5/1/22 13 13
33 202206 6/1/22 14 14
33 202207 7/1/22 15 15
33 202208 8/1/22 16 16
33 202209 9/1/22 17 17
33 202305 5/1/23 17 1
33 202306 6/1/23 17 2
33 202307 7/1/23 17 3

 

Desired Result = 
RANKX(
    FILTER(
        ALL('Table'),
        'Table'[GP] = EARLIER('Table'[GP]) && 
        'Table'[YYYYMM] <= EARLIER('Table'[YYYYMM])
    ),
    'Table'[YYYYMM],
    ,
    ASC,
    Dense
)

 

Desired Result = 
RANKX(
    FILTER(
        ALL('Table'),
        'Table'[GP] = EARLIER('Table'[GP]) && 
        'Table'[YYYYMM] <= EARLIER('Table'[YYYYMM])
    ),
    'Table'[YYYYMM],
    ,
    ASC,
    Dense
)

I ended up adding new field in sql using lag function then added to my calculated column!

What's wrong with using GroupKind.Local in Power Query?

there is more into the actual data and it didn't work!

Greg_Deckler
Super User
Super User

@NilR Seems like a variation on Cthulhu. Cthulhu - Microsoft Fabric Community



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DAX is easy, CALCULATE makes DAX hard...

I ended up adding flag to my data with sql. Thanks!

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