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Hi Everyone,
I have a table that looks like this:
Order Date | Order Number | Customer Number | Article Number | Qualtity Ordered | Sold Price | NP | SoldPrice-NP (This is a calculated Column) |
1-1-2022 | 123 | 01 | 789 | 3 | 10.80 | 12.81 | -2.01 |
2-2-2022 | 124 | 02 | 790 | 8 | 0.00 | 3.33 | -3.33 |
13-2-2022 | 125 | 10 | 789 | 6 | 4.66 | 12.81 | -8.15 |
14-2-2022 | 126 | 14 | 230 | 5 | 3.34 | 2.51 | 0.83 |
16-2-2022 | 130 | 25 | 486 | 1 | 2.40 | 1.06 | 1.34 |
18-2-2022 | 140 | 86 | 852 | 20 | 13.99 | 18.95 | -4.96 |
Now i have created a measure to calculate the number of different items that are sold below the NP price that looks like this
Count #sold cheaper NP = CALCULATE(COUNT(Data[SoldPrice-NP]), Data[SoldPrice-NP] < 0)
Solved! Go to Solution.
That was easier then I expected xD
I used the code below to achieve this
Count all article below 0 = CALCULATE(SUM(Data[Quantity Ordered]), Data[SoldPrice-NP] < 0)
That was easier then I expected xD
I used the code below to achieve this
Count all article below 0 = CALCULATE(SUM(Data[Quantity Ordered]), Data[SoldPrice-NP] < 0)
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