Forum Discussion
Identifying ISSAME
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?
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)
3 Replies
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