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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
Solved! Go to Solution.
I ended up adding new field in sql using lag function then added to my calculated column!
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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
)
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!
@NilR Seems like a variation on Cthulhu. Cthulhu - Microsoft Fabric Community
I ended up adding flag to my data with sql. Thanks!
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