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Hi,
I have the below dataset.
Site | Date Completed | DaysLastClean |
0.39.09.4 - Room | 2/13/2020 21:55 | 1 |
0.39.09.4 - Room | 2/18/2020 22:04 | 5 |
0.39.09.4 - Room | 2/21/2020 22:08 | 3 |
1-31-62 - W/R | 2/14/2020 18:41 | 4 |
1-31-62 - W/R | 2/18/2020 19:50 | 4 |
1-31-62 - W/R | 2/19/2020 19:56 | 1 |
1-31-62 - W/R | 2/20/2020 17:26 | 1 |
1-31-62 - W/R | 2/21/2020 18:42 | 1 |
1-31-69 - PTW/R | 2/11/2020 20:37 | 1 |
1-31-69 - PTW/R | 2/14/2020 18:16 | 3 |
1-31-69 - PTW/R | 2/18/2020 19:45 | 4 |
1-31-69 - PTW/R | 2/19/2020 16:46 | 1 |
1-31-69 - PTW/R | 2/20/2020 16:35 | 1 |
1-31-69 - PTW/R | 2/21/2020 16:55 | 1 |
The column "DaysLastClean" is a calculated columns
Site | Date Completed | DaysLastClean |
0.39.09.4 - Room | 2/21/2020 22:08 | 3 |
1-31-62 - W/R | 2/21/2020 18:42 | 1 |
1-31-69 - PTW/R | 2/21/2020 16:55 | 1 |
Appreciate all help for a Measure or column to achieve the above result.
Solved! Go to Solution.
Refer
Measure =
VAR __id = MAX ( 'Table'[Site] )
VAR __date = CALCULATE ( MAX( 'Table'[Date Completed] ), ALLSELECTED ( 'Table' ), 'Table'[Site] = __id )
RETURN CALCULATE ( max ( 'Table'[DaysLastClean] ), VALUES ( 'Table'[Site] ), 'Table'[Site] = __id, 'Table'[Date Completed] = __date )
Appreciate your Kudos.
I think you just need a table visualization with Site in it and Date set to an aggregation of Last and then your DaysLastClean?
Refer
Measure =
VAR __id = MAX ( 'Table'[Site] )
VAR __date = CALCULATE ( MAX( 'Table'[Date Completed] ), ALLSELECTED ( 'Table' ), 'Table'[Site] = __id )
RETURN CALCULATE ( max ( 'Table'[DaysLastClean] ), VALUES ( 'Table'[Site] ), 'Table'[Site] = __id, 'Table'[Date Completed] = __date )
Appreciate your Kudos.
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