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Anonymous
Not applicable

## How to calculate column based on Slicer

Hi everyone,

I have a table like the next one:

 ID Class Points Points_Norm 1 A 50 0 2 A 800 0.1372455 3 A 911 0.15755784 4 B 456152 83.4639301 5 B 1521 0.26918418 6 B 123 0.01335856 7 C 14894 2.71636296 8 C 4561 0.82548594 9 C 546516 100 10 C 146516 26.8023994

Also, I have a slicer for the column "Class". My objective is to put the variable "Points_norm "in a graph (it is just the values of "Points" normalized between 0 and 100).

What I'm looking for is that, when I select one of the classes with my slicer, I get the normalized values just for the filtered results. In this example, if I select Class==A with the slicer,  what I would get is:

 ID Class Points Points_Norm 1 A 50 0 2 A 800 87.1080139 3 A 911 100

Because the normalization is done just for those values I calculated. Does anyone know how to get this in Power BI?

Thank you all

3 REPLIES 3
Super User

@Anonymous , You can not calculate a column with slicer values. You can only use the slicer value in measure. Think how can you use measure in place of column

Anonymous
Not applicable

So the idea would be, how to get a measure that scales between 0 and 100 the values that affected the slicer?

Super User

@Anonymous , have slicer using what if parameter

assume you need it for points and ID is you min level

Try like

total point = sum(Table[Points])

measure =
var _min = minx(allselected(whatif), whatif[value])
var _max = maxx(allselected(whatif), whatif[value])
return
sumx(values(Table[ID]) , if([total point]>=_min && [total point] <=_max, [total point], blank()))

or like this, here you can add more than one group by

measure =
var _min = minx(allselected(whatif), whatif[value])
var _max = maxx(allselected(whatif), whatif[value])
return
sumx(filter(summarize(Table, Table[ID], "_1", sum(Table[Points])) , [_1]>=_min && [_1] <=_max),[_1])

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