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I have an export from JIRA where for each date I have epic name, number of issues and number of issues with time estimate.
I'd like to create visualisation of percentage of estimated issues per date based on selected epics. I can selected multiple epics and I'd like to see cumulatively calculated values for each date.
If it matters, as a result I'd like to see a line.
Sample Data:
Date | TimeEstimatedIssueCount | IssueCount | EpicName |
12.02.2022 00:00 | 0 | 4 | Home Screen |
12.02.2022 00:00 | 0 | 20 | Subscription Screen |
06.03.2022 00:00 | 4 | 10 | Home Screen |
06.03.2022 00:00 | 21 | 33 | Subscription Screen |
10.03.2022 00:00 | 4 | 10 | Home Screen |
10.03.2022 00:00 | 25 | 41 | Subscription Screen |
14.03.2022 00:00 | 4 | 8 | Home Screen |
14.03.2022 00:00 | 25 | 34 | Subscription Screen |
22.03.2022 00:00 | 7 | 9 | Home Screen |
22.03.2022 00:00 | 30 | 37 | Subscription Screen |
Of course, I have more Epics than two and broader date range in reality.
After selecting Epic Home Screen I'd like to achieve outcome
Date | TimeEstimatedIssueCount | IssueCount | Estimated Count |
12.02.2022 00:00 | 0 | 4 | 0% |
06.03.2022 00:00 | 4 | 10 | 40% |
10.03.2022 00:00 | 4 | 10 | 40% |
14.03.2022 00:00 | 4 | 8 | 50% |
22.03.2022 00:00 | 7 | 9 | 78% |
After selecting Epic Subscription Screen i'd like to see
Date | TimeEstimatedIssueCount | IssueCount | Estimated Count |
12.02.2022 00:00 | 0 | 20 | 0% |
06.03.2022 00:00 | 21 | 33 | 64% |
10.03.2022 00:00 | 25 | 41 | 61% |
14.03.2022 00:00 | 25 | 34 | 74% |
22.03.2022 00:00 | 30 | 37 | 81% |
After selecting both I'd like to see
Date | TimeEstimatedIssueCount | IssueCount | Estimated Count |
12.02.2022 00:00 | 0 | 24 | 0% |
06.03.2022 00:00 | 25 | 43 | 58% |
10.03.2022 00:00 | 29 | 51 | 57% |
14.03.2022 00:00 | 29 | 42 | 69% |
22.03.2022 00:00 | 37 | 46 | 80% |
As you can see. In last graph values are added up for each date and selected epics. Result is calculated as division of both values.
I can do custom column, but it doesn't respect filter. As I understand it, measure is one number for whole dataset.
Thanks !
Solved! Go to Solution.
Hello @hopp
Not sure if I missing something. From your description you only need to have a simple measure
Estimated Count = DIVIDE ( MAX ( Table[TimeEstimatedIssueCount] ), MAX ( Table[IssueCount] ), 0 )
it should work as you wish
Estimated Count % = DIVIDE( SUM('Table'[TimeEstimatedIssueCount]), SUM('Table'[IssueCount]))
Hello @hopp
Not sure if I missing something. From your description you only need to have a simple measure
Estimated Count = DIVIDE ( MAX ( Table[TimeEstimatedIssueCount] ), MAX ( Table[IssueCount] ), 0 )
it should work as you wish
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