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I have a table of this kind
Defect ID | Created | Creator | Assignee | Resolved |
1 | 01/05/2017 | A | B | C |
2 | 01/06/2017 | B | B | |
3 | 01/07/2017 | A | C | C |
4 | 01/08/2017 | A | C | C |
5 | 01/09/2016 | F | G | H |
6 | 01/10/2016 | A | B | C |
7 | 01/11/2016 | A | A | F |
8 | 01/12/2017 | A | F | G |
9 | 01/13/2017 | A | F | G
|
I would like to combine all the Users data and see the information in this way
Created in month | No.of unique users |
May-2017 | 2 |
Jun-2016 | 3 |
May-2016 | 4 |
Solved! Go to Solution.
i would unpivot the three colums (creator asignee and resolved in power query)
and then do a distinctcount in a measure on them sliced by the date.
Proud to be a Super User!
Hi @belurrashmi,
Assume you want to count distinct Creator columns based on Year and Month values, you can use Group By in Query Editor. Also you can use DAX to create a calculated table like below:
Table = SUMMARIZE('Table1','Table1'[Year],'Table1'[Month],"No.unicusers",DISTINCTCOUNT('Table1'[Creator]))
Best Regards,
Qiuyun Yu
That is some magic transformation.
Apparently all dates are in January (because of 01/13/2017 in the last row) and it results in data in May and June.
Also in your table there are no "users".
Of course we can assume that Creators, Assignees and Resolved are users, but one of the first things I was taught in IT is to assume nothing.
Can you explain the logic how your source data is transformed into the result?
i would unpivot the three colums (creator asignee and resolved in power query)
and then do a distinctcount in a measure on them sliced by the date.
Proud to be a Super User!
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