I have a table with the following columns:
- Different product with IDs: A, B, C...
- Date and time of date recorded
- State: can either be filled with string, or is empty
Which looks like this:
A - 01-01-2023 10:00 - Yes
A - 01-01-2023 11:00 - No
A - 01-01-2023 12:00 -
B - 01-01-2023 10:00 - Yes
B - 02-01-2023 10:00 -
B - 03-01-2023 10:00 -
C - 01-01-2023 15:00 - No
C - 01-01-2023 16:00 - Yes
C - 01-01-2023 17:00 - Yes
I have sorted the table to arrange the data in descending order of datetime, earliest to latest. I want to know, when the data is grouped by ID and sorted by date-time, when there are at least 2 empty cells for the "State" column. For example: after sorting the table, my products column will look like A,A,A,B,B,B,C,C,C,A,A,A,B,B,B,C,C,C. What I want is to group them By ID, and start a row count as soon as the "State" column is either filled or when it is Blank. The rowcount column would add the count like this:
A - 01-01-2023 10:00 - Yes - 1
A - 01-01-2023 11:00 - No - 2
A - 01-01-2023 12:00 - - 1
B - 01-01-2023 10:00 - Yes - 1
B - 02-01-2023 10:00 - - 1
B - 03-01-2023 10:00 - - 2
C - 01-01-2023 15:00 - No - 1
C - 01-01-2023 16:00 - Yes - 2
C - 01-01-2023 17:00 - Yes - 3
I really want to solve this in DAX, because I want to learn more about this language.
I'm now trying something like this:
EmptyCellCount = RANKX(FILTER(Data,Data[ID]=EARLIER(Data[ID])),Data[date],,ASC,Dense)
or something like this:
EmptyCellCount =
IF (
ISBLANK ( Data[State] ),
RANKX(FILTER(Data,Data[ID]=EARLIER(Blad1[ID])),Data[date],,ASC,Dense),
BLANK ()
)