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I have built a dashboard to display survey results, however now i am trying to integrate a filter to swap between different Surveys dates (Categorical value, not an actual date). The tricky part is that I have a results table, with the field [Survey], however i also need counts of [Department] from both tables, with the ability to slice to different Surveys.
SurveyResults
UserID | Question | Answer | Department | Survey |
1 | 1 | 4 | CS | Mar-19 |
1 | 2 | 2 | CS | Mar-19 |
2 | 1 | 3 | SM | Mar-19 |
2 | 2 | 4 | SM | Mar-19 |
3 | 1 | 2 | CS | Sep-19 |
3 | 2 | 5 | CS | Sep-19 |
4 | 1 | 3 | SM | Sep-19 |
4 | 2 | 4 | SM | Sep-19 |
5 | 1 | 5 | SM | Sep-19 |
5 | 2 | 2 | SM | Sep-19 |
Participation
Department | Total | Survey |
CS | 2 | Mar-19 |
SM | 3 | Mar-19 |
CS | 2 | Sep-19 |
SM | 4 | Sep-19 |
They are joined with Many to Many, participation filters SurveyResults (active) on [Department].
However as the relationship is not joined on [Survey], i must use two slicers [Survey] from both tables to get the correct records filtered out, i.e Both slicers = "Sep 2019". I feel this would not be an issue if i could join on both [department] & [Survey].
What would be a better approach? Having to set both slicers to the correct survey isn't great.. I am quite inexperienced at data modelling so any help would be greatly appreciated.
One of my visuals in a table
[Department]
[Number Completed] - Count Distinct([UserID])
[Total Employees] - Sum([Total])
Solved! Go to Solution.
Thanks PR, I beleive your solution to this would also work so I will mark it as solved.
However I actually solved this just now by creating a Merged Column of both [Department] and [Survey] in both tables, and i joined on that. Which worked!! I got the idea from this website (https://radacad.com/relationship-in-power-bi-with-multiple-columns)
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