So I've searched the forums but haven't found a solution yet...
I got a table with values which I can of course easily sum by date. I also have a date table in my data model which has a working relationship to the "Timestamp" column. The date table has a WEEKDAY() column, so I can sum by weekday resulting in 106,55€ for Wednesday (02.01.2019 and 09.01.2019) and 54,78€ for Thursday (03.01.2019).
What I want to have is the average of the week days which should result in:
- 53,28€ for Wednesday
- 54,78€ for Thursday
Everytime I try something with average functions it just gives me the average of all the small values, not aggregated by week day, which I can understand why Power BI does it like that but it is not what I want. A solution with a measure and without creating another SUMMARIZE() table would be greatly appreciated! The resulting averages should be displayed in a column chart if that information is of any help.
Can anyone help? Many thanks!
| Timestamp | Value |
| 02.01.2019 | 7.98 € |
| 02.01.2019 | 0.00 € |
| 02.01.2019 | 10.01 € |
| 02.01.2019 | 8.82 € |
| 02.01.2019 | 6.30 € |
| 02.01.2019 | -3.15 € |
| 02.01.2019 | 10.92 € |
| 02.01.2019 | -5.46 € |
| 03.01.2019 | 9.66 € |
| 03.01.2019 | 5.04 € |
| 03.01.2019 | 5.88 € |
| 03.01.2019 | 2.27 € |
| 03.01.2019 | 2.27 € |
| 03.01.2019 | 2.27 € |
| 02.01.2019 | 7.98 € |
| 02.01.2019 | 0.00 € |
| 02.01.2019 | 10.01 € |
| 02.01.2019 | 8.82 € |
| 02.01.2019 | 6.30 € |
| 02.01.2019 | -3.15 € |
| 02.01.2019 | 10.92 € |
| 02.01.2019 | -5.46 € |
| 03.01.2019 | 9.66 € |
| 03.01.2019 | 5.04 € |
| 03.01.2019 | 5.88 € |
| 03.01.2019 | 2.27 € |
| 03.01.2019 | 2.27 € |
| 03.01.2019 | 2.27 € |
| 09.01.2019 | 2.94 € |
| 09.01.2019 | 2.94 € |
| 09.01.2019 | 3.78 € |
| 09.01.2019 | 0.00 € |
| 09.01.2019 | 0.00 € |
| 09.01.2019 | 0.00 € |
| 09.01.2019 | 21.01 € |
| 09.01.2019 | 5.04 € |
| 09.01.2019 | 0.00 € |
