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Need to create Measure X that sums the top three values, occuring within the last 3 months, of Measure Y (that will filter down and or up timewise (wkly, mnthly, yrly). Simply, Measure Y is an average calc measure summing the 3 values found in Measure X to be divided by Related (count*hours)...[Measure X]/(Related(Table.Count)*Related(Table.Hours)...but not so simply as I am not figuring out how to create Measure X.
Hi @N823198 ,
Is your issue solved now?If not,could you pls check my last reply?
Best Regards,
Kelly
Did I answer your question? Mark my post as a solution!
Switching up original post a bit...MONTH column and COUNT column. I want to create a new measure for TREND column to calculate up to 3 month moving average of COUNT for each future month ignoring any values less than or more than 18% of the prior months' value.
Below is what I am trying to accomplish.
Correction...
Hi @N823198 ,
How to check whether the prior months' variance is over 18%+-?Can you show me the logic or calculation?
Best Regards,
Kelly
Did I answer your question? Mark my post as a solution!
For May TREND...use March and April counts only as Feburary is outside variance
April - March 598/638 for a variance of 6%
April - February 24/638 for a variance of 96%
For June TREND...use May count only as April and March variance is greater than 18%
May - April = 638/793 for a variance of 20%
May - March = 598/793 for a variance of 25%
Hi @N823198 ,
Sorry for the late reply.
Do you wanna to calculate the data whose variance is below 18%?
Best Regards,
Kelly
Did I answer your question? Mark my post as a solution!
Yes, but only up to the prior three months and if each prior month is over 18%, accept the last prior month's count.
Hi @N823198 ,
Create 2 columns as below:
Trend =
VAR _count =
CALCULATE (
COUNTROWS ( 'Table' ),
FILTER (
'Table',
'Table'[MonthNo]
<= EARLIER ( 'Table'[MonthNo] ) - 1
&& 'Table'[MonthNo]
>= EARLIER ( 'Table'[MonthNo] ) - 3
)
)
VAR _previous =
CALCULATE (
MAX ( 'Table'[Count] ),
FILTER ( 'Table', 'Table'[MonthNo] = EARLIER ( 'Table'[MonthNo] ) - 1 )
)
VAR _previous_1 =
CALCULATE (
MAX ( 'Table'[Count] ),
FILTER ( 'Table', 'Table'[MonthNo] = EARLIER ( 'Table'[MonthNo] ) - 2 )
)
VAR _previous_2 =
CALCULATE (
MAX ( 'Table'[Count] ),
FILTER ( 'Table', 'Table'[MonthNo] = EARLIER ( 'Table'[MonthNo] ) - 3 )
)
RETURN
IF (
_previous = BLANK (),
'Table'[Count],
IF (
_previous_1 = BLANK (),
_previous,
IF (
_previous_2 = BLANK (),
DIVIDE ( _previous + _previous_1, 2 ),
IF (
ABS ( DIVIDE ( _previous_1, _previous ) - 1 ) < 0.18
&& ABS ( DIVIDE ( _previous_2, _previous ) - 1 ) < 0.18,
DIVIDE ( _previous_1 + _previous_2, 2 ),
IF (
ABS ( DIVIDE ( _previous_1, _previous ) - 1 ) > 0.18
&& ABS ( DIVIDE ( _previous_2, _previous ) - 1 ) > 0.18,
_previous,
IF (
ABS ( DIVIDE ( _previous_1, _previous ) - 1 ) < 0.18
&& ABS ( DIVIDE ( _previous_2, _previous ) - 1 ) > 0.18,
DIVIDE ( _previous_1 + _previous, 2 ),
IF (
ABS ( DIVIDE ( _previous_1, _previous ) - 1 ) > 0.18
&& ABS ( DIVIDE ( _previous_2, _previous ) - 1 ) < 0.18,
DIVIDE ( _previous_2 + _previous, 2 )
)
)
)
)
)
)
)
% of trend to count = DIVIDE('Table'[Trend],'Table'[Count])
And you will see:
For the related .pbix file,pls see attached.
Best Regards,
Kelly
Did I answer your question? Mark my post as a solution!
Hi @N823198 ,
Could you pls provide some sample data with expected output for test?
Best Regards,
Kelly
Did I answer your question? Mark my post as a solution!
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