Microsoft is giving away 50,000 FREE Microsoft Certification exam vouchers!
Enter the sweepstakes now!Prepping for a Fabric certification exam? Join us for a live prep session with exam experts to learn how to pass the exam. Register now.
Hi guys,
Needing some help trying to make a measure to identify when a name in one column is linked to two separate values in another.
I want to quantify when an Agent both receives and processes a contract for the same business. I have tried creating a column but it doesn't seem to work because the values in "type of change" are in the same column Here is my data:
Date | Business | Type of Change | Name of Agent |
12/10/20 | Joe's Auto | Contract Received | James |
12/10/20 | Joe's Auto | Contract Received | James |
12/10/20 | Jack's Salon | Contract Received | James |
12/10/20 | Jack's Salon | Contract Activated | Helen |
Can anyone help me?
Solved! Go to Solution.
@Anonymous , Did no see ant processed row.
You need to have column like
if(calculate(distinctcount(Table[Type of Change]), filter(Table, [Name of Agent] = earlier([Name of Agent]) && [Type of Change] in {"Received","processes"}
&& [Date] = earlier([Date]))) =2, 1,0)
@Anonymous , Did no see ant processed row.
You need to have column like
if(calculate(distinctcount(Table[Type of Change]), filter(Table, [Name of Agent] = earlier([Name of Agent]) && [Type of Change] in {"Received","processes"}
&& [Date] = earlier([Date]))) =2, 1,0)
Sorry, I actually realised this is not the solution.
I meant to say I need to find usernames who have both Contract Received and Contract Activated.
I tried to adjust the column but the results returned do not correctly show Business names where both the same agent received and activated the contract
Thank you 🙂
Check out the April 2025 Power BI update to learn about new features.
Explore and share Fabric Notebooks to boost Power BI insights in the new community notebooks gallery.
User | Count |
---|---|
72 | |
67 | |
67 | |
42 | |
42 |
User | Count |
---|---|
46 | |
40 | |
28 | |
26 | |
25 |