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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 ClassPointsPoints_Norm
1A500
2A8000.1372455
3A9110.15755784
4B45615283.4639301
5B15210.26918418
6B1230.01335856
7C148942.71636296
8C45610.82548594
9C546516100
10C14651626.8023994

 

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 ClassPointsPoints_Norm
1A500
2A80087.1080139
3A911100

 

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
amitchandak
Super User
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?

@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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