Dear all
I have a log table to record each action ("Action" column), when it happen ("Log_Time" column), and its meaning ("Process" column).
My target is to automatically update the "Process" column when there is a new action happen after the previous action.
Below is an example:
Action A, B, and C happened again, so the process start over after the latest Action A.
Action | Log_Time | Process |
Action A | 1/1/2022 | Start of Process A |
Action B | 2/1/2022 | Start of Process B |
Action C | 3/1/2022 | Start of Process C |
Action D | 3/15/2022 | Start of Process D |
Action E | 4/1/2022 | Start of Process E |
Action A | 5/1/2022 | |
Action B | 5/4/2022 | |
Action C | 5/15/2022 |
Action | Log_Time | Process |
Action A | 1/1/2022 | |
Action B | 2/1/2022 | |
Action C | 3/1/2022 | |
Action D | 3/15/2022 | |
Action E | 4/1/2022 | |
Action A | 5/1/2022 | Start of Process A |
Action B | 5/4/2022 | Start of Process B |
Action C | 5/15/2022 | Start of Process C |
Many thanks!
Solved! Go to Solution.
sorry, somehow forgot to paste in the code for the calculated column:
Column =
VAR _action_A_max =
CALCULATE (
MAX ( 'Table'[Log_time] ),
FILTER ( ALL ( 'Table' ), 'Table'[Process] = "Action A" )
)
RETURN
IF (
'Table'[Log_time] >= _action_A_max,
CONCATENATE ( "Start of Process ", RIGHT ( 'Table'[Process], 1 ) ),
BLANK ()
)
Thanks Sturla! It works!
Hi,
you create this calculated column
which returns this:
Cheers,
Sturla
If this post helps, then please consider Accepting it as the solution. Kudos are nice too.
Hi Sturla, would you mind sharing the pbix file? Thanks!
sorry, somehow forgot to paste in the code for the calculated column:
Column =
VAR _action_A_max =
CALCULATE (
MAX ( 'Table'[Log_time] ),
FILTER ( ALL ( 'Table' ), 'Table'[Process] = "Action A" )
)
RETURN
IF (
'Table'[Log_time] >= _action_A_max,
CONCATENATE ( "Start of Process ", RIGHT ( 'Table'[Process], 1 ) ),
BLANK ()
)