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Hi everyone,
I'm sure this is a well known topic and I'm aware this is much easier done in Power Query. The issue is that the data I am attempting to pivot is obtained from calculated columns in DAX and I'm not sure if it'd be possible to get this into Power Query.
My data looks as follows:
| Date 1 | Date 2 | Date 3 | Hours |
| 05/06/2023 | 12/06/2023 | 19/06/2023 | 77 |
| 05/06/2023 | 12/06/2023 | 51.2 |
The solution I am looking for looks like:
| Date | Hours |
| 05/06/2023 | 77 |
| 12/06/2023 | 77 |
| 19/06/2023 | 77 |
| 05/06/2023 | 51.2 |
| 12/06/2023 | 51.2 |
or
| Date | Hours |
| 05/06/2023 | 128.2 |
| 12/06/2023 | 128.2 |
| 19/06/2023 | 77 |
Is it possible to achieve this in DAX?
Solved! Go to Solution.
Hi @Anonymous
You can refer to the following code
Table 2 =
VAR a =
SUMMARIZE ( FILTER ( 'Table', [Date 1 ] <> BLANK () ), [Date 1 ], [Hours ] )
VAR b =
SUMMARIZE (
FILTER ( 'Table', [Date 2] <> BLANK () ),
'Table'[Date 2],
'Table'[Hours ]
)
VAR c =
SUMMARIZE (
FILTER ( 'Table', [Date 3] <> BLANK () ),
[Date 3],
'Table'[Hours ]
)
RETURN
UNION ( a, b, c )
Output
Best Regards!
Yolo Zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous
You can refer to the following code
Table 2 =
VAR a =
SUMMARIZE ( FILTER ( 'Table', [Date 1 ] <> BLANK () ), [Date 1 ], [Hours ] )
VAR b =
SUMMARIZE (
FILTER ( 'Table', [Date 2] <> BLANK () ),
'Table'[Date 2],
'Table'[Hours ]
)
VAR c =
SUMMARIZE (
FILTER ( 'Table', [Date 3] <> BLANK () ),
[Date 3],
'Table'[Hours ]
)
RETURN
UNION ( a, b, c )
Output
Best Regards!
Yolo Zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
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