Hi All,
From the example bar chart below, the blue dotted line is the average line. (-16+-9+...)/10 = -7. Instead of plotting the average as a line, I would like to subtract (-7), to all the y-values in the bar chart and the y-values are measures. For example, the value I want for decile 1 is -16-(-7)=-9.
Any help greatly appreciated, Thanks.
qngu
Solved! Go to Solution.
Ok, that makes way more sense.
Try:
Values minus mean for measure 1 =
VAR _Mean =
AVERAGEX ( ALLSELECTED ( Table[Decile] ), [Your measure] )
RETURN
IF ( NOT ( ISBLANK ( [Your Measure] ) ), [Your Measure] - _Mean )
Proud to be a Super User!
Paul on Linkedin.
In that case:
Values minus mean for measure 1 =
VAR _Mean = DIVIDE([Measure 1] + Measure 2] + Measure 3] ...and so on upto Measure 10] , 10)
RETURN
[Measure 1] - _Mean
and repeat for each of the measures
You can't make it dynamic with your structure
Proud to be a Super User!
Paul on Linkedin.
Sorry, I mis-understood you when you said each bar is a measure. Each bar is is calculated using a single measure. A simple example:
Table1
Date | Value | Decile
1/1/2000 | -8 | '1'
1/1/2001 | -8 | '1'
1/1/2000 | -4.5 | '2'
1/1/2001 | -4.5 | '2'
....
Measure_1 = sum(Value) is set as the y-values and the x-values is set with the Decile column. So for decile 1, the measure will be -8+-8=-16, which is what we see in the bar chart and so on for each decile.
So there's only 1 measure, not 10. Sorry for the mis-understanding.
Ok, that makes way more sense.
Try:
Values minus mean for measure 1 =
VAR _Mean =
AVERAGEX ( ALLSELECTED ( Table[Decile] ), [Your measure] )
RETURN
IF ( NOT ( ISBLANK ( [Your Measure] ) ), [Your Measure] - _Mean )
Proud to be a Super User!
Paul on Linkedin.
Awesome. Thanks for the solution, I was looking for this and accepted this as the solutin as well.
Is each bar a measure then? If so, will there only ever be 10 data points?
Proud to be a Super User!
Paul on Linkedin.
Yes, each bar is a measure. Yes, there will only ever be 10 data points in this case. I'm hoping that it can be generalized to the number of categories on the X-axis though.
Thanks for taking a look,
qngu