Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
The Why: So I am building out a visualization that leverages time as a filter/slicer to pick between two points in time. From that filtering/slicer of time I'm looking to see a like for like comparison between what would be most akin to the inverse of the 'SAMEPERIODLASTYEAR' function.
The How: Basically, if I were to pick a date range between 8/1/2017 - 12/31/2017 or 8/1/2015 - 12/31/2015 I would want to have a series of values summed for 8/1/2017 - 12/31/2017 next to a series of values summed for 8/1/2018 - 12/31/2018. Or in the case of the second range, have the slicer tuned to 8/1/2015- 12/31/2015, and also have values summed (in a different location/visual) between 8/1/2018 - 8/1/2018. Basically, no matter the time change be it the year 2017, or 2015, or 2005 (if there were data), I'd want to see a measurement summation between the selected filtered date and the SAMEPERIODTHISYEAR.
Note: The way I want to have the filter used in a way where the users pick the date value for the period in question, and in one chart they see the Selected Period's "burn rate" in one chart, then in a separate chart see the Current Year's "burn rate" in another chart. I've tried a few ways to work through this one, but with the variable of the calculation makes for DATEADD a little complex, because the Current Year is never going to be static during the timeline of the Power BI Report.
Solved! Go to Solution.
Hi @Anonymous,
I made one sample for your reference.
1. Create a CALENDAR table and create relationship with the fact table as below.
2. Create the measures as below.
Current Year's "burn rate" = var mind =CALCULATE(MIN('CALENDAR'[Date])) var maxd = CALCULATE(MAX('CALENDAR'[Date])) var thisyearmin = DATE(YEAR(TODAY()),MONTH(mind),DAY(mind)) var thisyearmax = DATE(YEAR(TODAY()),MONTH(maxd),DAY(maxd)) return CALCULATE(SUM(Table1[burn rate]),FILTER(Table1,Table1[date]>=thisyearmin && Table1[date]<=thisyearmax))
Selected Period's "burn rate" = CALCULATE(SUM(Table1[burn rate]),USERELATIONSHIP('CALENDAR'[Date],Table1[date]))
For more details, please check the pbix as attached.
Regards,
Frank
Hi @Anonymous,
Does that make sense? If so, kindly mark my answer as a solution to close the case.
Regards,
Frank
Hey, I really appreciate your help on this, this response got kicked by my spam filter for whatever the reason!
Nevertheless, thank you so much! Happy Holidays!
Hi @Anonymous,
I made one sample for your reference.
1. Create a CALENDAR table and create relationship with the fact table as below.
2. Create the measures as below.
Current Year's "burn rate" = var mind =CALCULATE(MIN('CALENDAR'[Date])) var maxd = CALCULATE(MAX('CALENDAR'[Date])) var thisyearmin = DATE(YEAR(TODAY()),MONTH(mind),DAY(mind)) var thisyearmax = DATE(YEAR(TODAY()),MONTH(maxd),DAY(maxd)) return CALCULATE(SUM(Table1[burn rate]),FILTER(Table1,Table1[date]>=thisyearmin && Table1[date]<=thisyearmax))
Selected Period's "burn rate" = CALCULATE(SUM(Table1[burn rate]),USERELATIONSHIP('CALENDAR'[Date],Table1[date]))
For more details, please check the pbix as attached.
Regards,
Frank
Hey, I really appreciate your help on this, this response got kicked by my spam filter for whatever the reason!
Nevertheless, thank you so much! Happy Holidays!
Hi @Anonymous,
Does that make sense? If so, kindly mark my answer as a solution to close the case.
Regards,
Frank
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
114 | |
99 | |
82 | |
70 | |
61 |
User | Count |
---|---|
149 | |
114 | |
107 | |
89 | |
67 |