March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount! Early bird discount ends December 31.
Register NowBe one of the first to start using Fabric Databases. View on-demand sessions with database experts and the Microsoft product team to learn just how easy it is to get started. Watch now
I have a data in below format.
The Data is for every day.
Date,Region,Refinery,CapacityShutdown
2018-01-01,Africa,GP Oil, 26
2018-01-02,Africa,GP Oil, 27
2018-01-03,Africa,GP Oil, 26
For previous 10 Years and for future years as well.
I want to show a seasonality graph like mentioned in the below picture.
Along with this, I need filter on Region as well.
Measures: Previous 5 Year monthly high, Previous 5 Year monthly low (Shaded region from low to high), 5 Year monthly average, previous year monthy shutdown, current year monthly shutdown.
X Axis : Months (Jan to Dec)
Y Axis : Capacity shutdown.
How to calculate this measures using DAX?
Regards,
Akash
Solved! Go to Solution.
You may try the following measure.
Measure = AVERAGEX ( SUMMARIZE ( FILTER ( Table1, YEAR ( Table1[Date] ) >= YEAR ( TODAY () ) - 5 && YEAR ( Table1[Date] ) < YEAR ( TODAY () ) ), Table1[Date].[Year] ), CALCULATE ( SUM ( Table1[CapacityShutdown] ) ) )
You may try the following measure.
Measure = AVERAGEX ( SUMMARIZE ( FILTER ( Table1, YEAR ( Table1[Date] ) >= YEAR ( TODAY () ) - 5 && YEAR ( Table1[Date] ) < YEAR ( TODAY () ) ), Table1[Date].[Year] ), CALCULATE ( SUM ( Table1[CapacityShutdown] ) ) )
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!
Your insights matter. That’s why we created a quick survey to learn about your experience finding answers to technical questions.
Arun Ulag shares exciting details about the Microsoft Fabric Conference 2025, which will be held in Las Vegas, NV.
User | Count |
---|---|
132 | |
90 | |
88 | |
64 | |
58 |
User | Count |
---|---|
203 | |
141 | |
107 | |
73 | |
70 |