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Hi all,
Could you please help with the below? I used this technique many times with integers,which worked fine, but it doesn't work when doing distinct count on text. I need to get cumulative total of customers for 3 different date columns. Sales table data is in the comment below.
Data model:
I need to create identical measures for all 3 date columns, therefore using the inactive relationships.
Solved! Go to Solution.
I worked it out! 😄
data:
| Customer ID | Sofa sales | TV sales | Chair sales |
| 1 | 01/01/2021 | 02/03/2021 | 06/03/2021 |
| 2 | 30/12/2020 | 14/03/2021 | 16/04/2021 |
| 3 | 16/12/2020 | 01/01/2021 | 16/05/2021 |
| 4 | 03/02/2021 | 15/06/2021 | |
| 5 | 26/02/2021 | ||
| 6 | 13/12/2020 | 18/02/2021 | |
| 7 | 16/01/2021 | 24/02/2021 | 30/03/2021 |
| 8 | 02/04/2021 | 28/05/2021 | |
| 9 | 03/01/2021 | 26/01/2021 | |
| 10 | 26/04/2021 | ||
| 11 | 18/02/2021 | 28/05/2021 | |
| 12 | 13/12/2020 | ||
| 13 | 26/02/2021 | 28/05/2021 | 03/06/2021 |
| 14 | 28/05/2021 | 15/06/2021 | |
| 15 | 13/12/2020 | ||
| 16 | 18/02/2021 | 14/03/2021 | 20/05/2021 |
| 17 | 13/12/2020 | ||
| 18 | 13/12/2020 | 15/06/2021 | |
| 19 | 15/06/2021 | ||
| 20 | 13/12/2020 | ||
| 21 | 16/12/2020 | 14/03/2021 | |
| 22 | 15/06/2021 | ||
| 23 | 13/12/2020 |
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