Forum Discussion
DAX help for dates
You need to use measures as visual filters.
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Hi,
Thank you for the information and answer. Please see below a table as an example, please let me know if you need more information.
I have a fact table holding information about Archivierungsdatum, Wareneingangsdatum and EKW netto. For that table I have a Date table connected on the Archivierungsdatum.
I would like to have a table visual for example, where next to the date from my Date table there is the sum of the EKW netto with the following logic implemented:
Next to the date 3 rd of Oct (let's take that date as an example), I can find the sum of the EKW netto, where Archivierungsdatum is equal or bigger than the Date (than 3rd October) - so sum of the netto where Archivierungsdatum is 3rd October and 4th October in our example -, and Wareneingangsdatum is smaller than the Date (so in our example smaller than 3rd October).
So based on our table the sum I would like to see for 3rd Oct is 14.349.448,43.
One more information: I have a big fact table so when I have tried (unsuccesfully) to use SUMX and FILTER in another measure it caused some performance problem:(
Thank you again for all of your support/answer and wishing you a nice evening/day.
| Archivierungsdatum | Wareneingangsdatum | EKW Netto |
| 02.10.2023 00:00 | 29.03.2023 00:00 | € 22.796,40 |
| 02.10.2023 00:00 | 03.04.2023 00:00 | -€ 1,84 |
| 02.10.2023 00:00 | 05.06.2023 00:00 | € 16,32 |
| 02.10.2023 00:00 | 01.10.2023 00:00 | € 339.762,40 |
| 02.10.2023 00:00 | 02.10.2023 00:00 | € 224.586,47 |
| 02.10.2023 00:00 | 03.10.2023 00:00 | € 8.636,70 |
| 03.10.2023 00:00 | 12.05.2023 00:00 | € 76,80 |
| 03.10.2023 00:00 | 13.05.2023 00:00 | € 16,50 |
| 03.10.2023 00:00 | 03.10.2023 00:00 | € 127.800,48 |
| 03.10.2023 00:00 | 04.10.2023 00:00 | € 2.183,50 |
| 04.10.2023 00:00 | 27.09.2023 00:00 | € 3.328.090,14 |
| 04.10.2023 00:00 | 28.09.2023 00:00 | € 3.857.418,78 |
| 04.10.2023 00:00 | 29.09.2023 00:00 | € 3.927.561,41 |
| 04.10.2023 00:00 | 30.09.2023 00:00 | € 288.206,96 |
| 04.10.2023 00:00 | 01.10.2023 00:00 | € 362.508,71 |
| 04.10.2023 00:00 | 02.10.2023 00:00 | € 2.585.569,13 |
| 04.10.2023 00:00 | 03.10.2023 00:00 | € 2.057.837,86 |
| 04.10.2023 00:00 | 04.10.2023 00:00 | € 108.484,84 |