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Hello!
Im trying to calculate percentage sold items of ingoing stock since last time we recived new goods.
Department | Sold items | Date | Outgoing days since new stock | Ingoing Stock |
Sweden | 10 | 21.05.2023 | 1 | 100 |
Sweden | 15 | 22.05.2023 | 2 | 90 |
Sweden | 20 | 23.05.2023 | 3 | 75 |
Denmark | 15 | 21.05.2023 | 1 | 100 |
Denmark | 10 | 22.05.2023 | 2 | 85 |
Sweden | 5 | 24.05.2023 | 1 | 95 |
Denmark | 10 | 24.05.2023 | 1 | 100 |
Denmark | 15 | 25.05.2023 | 2 | 90 |
Like the table shown, the data is something like that.
So I would like to calculate the percentage from department Denmark when the date is closest to today, and the "Outgoing days since new stock" is 1. So for Denmark in this example, it would show "25.05.2023" and a percentage of 15%.
Any ideas how to do this?
Hi @Eddyns ,
According to your description, here are my steps you can follow as a solution.
(1) My test data is the same as yours.
(2) We can create a calculated column.
closest to today = ABS(DATEDIFF('Table'[Date],TODAY(),DAY))
(3)We can create a measure.
Measure =
var _min=CALCULATE(MIN('Table'[closest to today]),FILTER(ALL('Table'),'Table'[Department]=MAX('Table'[Department]) && 'Table'[Outgoing days since new stock]=1))
var _date =CALCULATE(MAX('Table'[Date]),FILTER(ALL('Table'),'Table'[Department]=MAX('Table'[Department]) && 'Table'[closest to today]=_min))
var _sold=CALCULATE(MAX('Table'[Sold items]),FILTER(ALL('Table'),'Table'[Department]=MAX('Table'[Department]) && 'Table'[Date]=_date))
var _stock=CALCULATE(MAX('Table'[Ingoing Stock]),FILTER(ALL('Table'),'Table'[Department]=MAX('Table'[Department]) && 'Table'[Date]=_date))
return DIVIDE(_sold,_stock,0)
(4) Then the result is as follows.
If the above one can't help you get the desired result, please provide some sample data in your tables (exclude sensitive data) with Text format and your expected result with backend logic and special examples. It is better if you can share a simplified pbix file. Thank you.
Best Regards,
Neeko Tang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Dont know what happend to the table.
But "Outgoing days since new stock" has these values:
Outgoing days since new stock |
1 |
2 |
3 |
1 |
2 |
1 |
1 |
2 |
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