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.
Hi
i am trying to work out an average for a month number across many years so i can apply customer history patterns against sales targets
I have 5 slicers
Org, Plant, Month number, sold to, year
I want the measure to use all slicers except the year
any advice please?
cheers Dan
Solved! Go to Solution.
Hi @djwbaker ,
You could use REMOVEFILTERS() to clear filters from the specified tables or columns:
Measure =
CALCULATE (
SUM ( 'Oracle Data'[Sales] ),
REMOVEFILTERS ( 'Oracle Data'[Year] )
)
Or go to Format -->Edit interactions-->Select "None" like this:
Please take a look at the pbix file here.
Best Regards,
Eyelyn Qin
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @djwbaker ,
You could use REMOVEFILTERS() to clear filters from the specified tables or columns:
Measure =
CALCULATE (
SUM ( 'Oracle Data'[Sales] ),
REMOVEFILTERS ( 'Oracle Data'[Year] )
)
Or go to Format -->Edit interactions-->Select "None" like this:
Please take a look at the pbix file here.
Best Regards,
Eyelyn Qin
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
@djwbaker , Try like
cumualtive =
CALCULATE(
averageX(values('Oracle Data'[Month]),CALCULATE(SUM('Oracle Data'[SUM(ORDER_QTY*SELLING_P)]))),
FILTER(
ALLselected('Dates'),
'Dates'[WORKDAY NUMBER] <= MAX('Dates'[WORKDAY NUMBER])
)
)
hi
thank you for the quick reply, but my year slicer from my date table is still infuencing the measure
@djwbaker , Try
cumualtive =
CALCULATE(
averageX(values('Oracle Data'[Month]),CALCULATE(SUM('Oracle Data'[SUM(ORDER_QTY*SELLING_P)]))),
FILTER(
ALL('Dates'),
'Dates'[WORKDAY NUMBER] <= MAX('Dates'[WORKDAY NUMBER])
)
)
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 |
---|---|
110 | |
97 | |
78 | |
63 | |
55 |
User | Count |
---|---|
143 | |
109 | |
89 | |
84 | |
66 |