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Hi,
I have problem how to create "global year filter"
table:
| Proj name | implemented | deleted |
| Project 1 | 2010 | |
| Project 2 | 2011 | 2014 |
| Project 3 | 2012 | 2015 |
| Project 4 | 2013 | |
| Project 5 | 2014 |
And i have 2 measures which show number of implemented and deleted projects:
Measure1 :
| year | Numer of implemented |
| 2010 | 1 |
| 2011 | 1 |
| 2012 | 1 |
| 2013 | 1 |
| 2014 | 1 |
Measure2
| year | Numer of deleted |
| 2014 | 1 |
| 2015 | 1 |
I would like to create filter Year. For example if i choose 2014 measure should show:
| year | Numer of implemented |
| 2014 | 1 |
| year | Numer of deleted |
| 2014 | 1 |
I tried with this way https://www.sqlbi.com/articles/creating-a-slicer-that-filters-multiple-columns-in-power-bi/
but if I choose "2014" it shows:
| year | Numer of implemented |
| 2011 | 1 |
| 2014 | 1 |
Thanks!
Solved! Go to Solution.
@mic_rys , I think you have to create a common year table and join it both years. One will be inactive, You can active that in measure using use relationship
This with date, you need for Year
New Table
Year = distinct(union(distinct(Table[implemented]),distinct(Table[deleted])))
Assume active join implemented
measure
implemented = countrows(Table)
deleted = calculate(countrows(Table), userelationship(Table[deleted], Year[implemented]))
@mic_rys , I think you have to create a common year table and join it both years. One will be inactive, You can active that in measure using use relationship
This with date, you need for Year
New Table
Year = distinct(union(distinct(Table[implemented]),distinct(Table[deleted])))
Assume active join implemented
measure
implemented = countrows(Table)
deleted = calculate(countrows(Table), userelationship(Table[deleted], Year[implemented]))
the simpliest solution looks the best! thank you!
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