Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
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.