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Hello,
I would like to create a measure using a DAX function. This measure will indicate success for a delivery when four different values appear for the same value in another column. In the chart below, I would like to group the dependency ID's, which are the same, to indicate successful delivery when material I, R, S and, D appear for the same dependency ID. Example the dependency number ID 654313 and 654433 has a successful delivery because the value has a material R,S,D and I. In additional measure, I would be to display the information for successful delivery for a work order with associated information like required date, work order number and dependency ID. Thanks
Required Date | Reason Code | Dependency Id Num | Work Order Num |
1/3/2024 | MATERIAL I | 654313 | 51320733 |
1/3/2024 | MATERIAL R | 654313 | 51320733 |
1/3/2024 | MATERIAL S | 654313 | 51320733 |
1/3/2024 | MATERIAL D | 654313 | 51320733 |
1/3/2024 | MATERIAL I | 654433 | 46615421 |
1/3/2024 | MATERIAL R | 654433 | 46615421 |
1/3/2024 | MATERIAL D | 654433 | 46615421 |
1/3/2024 | MATERIAL S | 654433/654896 | 46615421 |
Solved! Go to Solution.
No need for DAX - a graphical solution shows the distinct count of Reason Code per Dependency ID
If you wanted DAX you would use the same logic in an explicit measure
I have tried to use a simple equation to filter out the material R’s but have had no results. Material R1 = CALCULATE(FILTER('Sheet1',[Delivery Status]="Material R"),[Delivery Status]). I have looked into using the MATCHBY DAX function but has proven to be more complex. The row with / in the value is error by data entry which would make the delivery unsuccessful. Below is a simplistic example of what the combined values should have in order to be a successful delivery. Also, I have put more information values in the table below. Thanks
Example
Dependency Id Num 654313 + Reason Code Material I +
Dependency Id Num 654313 + Reason Code Material R +
Dependency Id Num 654313 + Reason Code Material S +
Dependency Id Num 654313 + Reason Code Material D +
= Successful Delivery for Dependency Id Num 654313
Required Date | Reason Code | Dependency Id Num | Work Order Num |
1/3/2024 | MATERIAL I | 654313 | 51320733 |
1/3/2024 | MATERIAL R | 654313 | 51320733 |
1/3/2024 | MATERIAL S | 654313 | 51320733 |
1/3/2024 | MATERIAL D | 654313 | 51320733 |
1/3/2024 | MATERIAL I | 654433 | 46615421 |
1/3/2024 | MATERIAL R | 654433 | 46615421 |
1/3/2024 | MATERIAL D | 654433 | 46615421 |
1/3/2024 | MATERIAL S | 654433/654896 | 46615421 |
1/3/2024 | MATERIAL I | 654447 | 45033766 |
1/3/2024 | MATERIAL R | 654447 | 45033766 |
1/3/2024 | MATERIAL D | 654447 | 45033766 |
1/3/2024 | MATERIAL R | 654857 | 43802738 |
1/3/2024 | MATERIAL S | 654857 | 43802738 |
1/3/2024 | MATERIAL D | 654857 | 43802738 |
1/3/2024 | MATERIAL D | 654857 | 43802738 |
No need for DAX - a graphical solution shows the distinct count of Reason Code per Dependency ID
If you wanted DAX you would use the same logic in an explicit measure
Please provide sample data that fully covers your issue. Show examples that evaluate to false. Explain why there is a / in the last row.
Please show the expected outcome based on the sample data you provided.
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