Earn the coveted Fabric Analytics Engineer certification. 100% off your exam for a limited time only!
Hello all,
I am looking at a solution to identify if there exists ML_date before Escalation_Date by each Serial number.
In the below table, for Serial_Number:100 , Escalation_Date is 3/2/2023 but the minimum ML_Date is 3/3/2023 which is after Escalation Date and hence "No" in the last coulmn.
For Serial_Number:200 , Escalation_Date is 4/1/2023 but the minimum ML_Date is 4/1/2023 which is on or before Escalation Date and hence "Yes".
Serial_Number | Escalation_Date | ML_Date | Data_Available_On_Before_Escalation |
100 | 3/2/2023 | 3/5/2023 | No |
100 | 3/2/2023 | 3/4/2023 | No |
100 | 3/2/2023 | 3/3/2023 | No |
200 | 4/1/2023 | 4/2/2023 | Yes |
200 | 4/1/2023 | 4/1/2023 | Yes |
300 | 4/11/2023 | 4/8/2023 | Yes |
300 | 4/11/2023 | 4/7/2023 | Yes |
300 | 4/11/2023 | 4/6/2023 | Yes |
400 | 5/1/2023 | 5/4/2023 | No |
400 | 5/1/2023 | 5/3/2023 | No |
400 | 5/1/2023 | 5/2/2023 | No |
Solved! Go to Solution.
Hi,
try a calculated column with this DAX:
Hi,
you can add a calculated column
If this post is useful to help you to solve your issue consider giving the post a thumbs up
and accepting it as a solution !
Hi,
you can add a calculated column
If this post is useful to help you to solve your issue consider giving the post a thumbs up
and accepting it as a solution !
Hi,
try a calculated column with this DAX:
User | Count |
---|---|
140 | |
113 | |
104 | |
76 | |
63 |
User | Count |
---|---|
135 | |
126 | |
110 | |
70 | |
61 |