How can I create a total that is filtered by selection and slicer?

3
votes

Problem

I would like to create a multi-layer histogram that shows the distribution of var1 on the first level and var2 on the second level, with a legend by source, like this:

enter image description here

The value should show the percentage w.r.t. the total of a source, with all the selections and slicers applied. The percentages shown in the histogram should always sum to 100% per source.

Example data

I have the following example data:

source  var1    var2    count
A       1       1       100
A       1       2       12
A       1       3       34
A       2       1       1612
A       2       2       23
A       2       3       43
B       1       1       200
B       1       2       320
B       1       3       12
B       2       1       1757
B       2       2       345
B       2       3       32

What have I tried

I can achieve a total per source with the following measure without the filtering part:

percPerSource = 
DIVIDE(
    SUM(input[count]); 
    CALCULATE(
        SUM(input[count]); 
        ALLEXCEPT(input;input[source])
        )
    )*100

enter image description here

If I turn on Drill mode and click on the columns of var1 I get the following, undesired result (the percentages do not sum to 100%):

enter image description here

Another attempt was using the ALLSELECTED function:

percSelected = 
    DIVIDE(
        SUM(input[count]); 
        CALCULATE(
            SUM(input[count]); 
            ALLSELECTED(input[var1])
            )
        )*100

This shows only 100% on the var2 level:

enter image description here

1
powerbidax

1 Answers

4
votes

I think this will do what you're after:

percPerSource = 
DIVIDE(
    SUM(input[count]);
    CALCULATE(
        SUM(input[count]);
        FILTER(
            ALLSELECTED(input);
            input[Source] IN VALUES(input[Source])
        )
    )
)*100

This takes all the selected values as the universe you are filtering on but only selects the rows that in your local filter context.

Drilldown

The FILTER function takes a table as its first argument and a condition as the second argument. It iterates through every row in the table passed into it and checks if the condition holds and returns a table with only the rows where the condition evaluates to True.

The VALUES function returns a list of distinct values of the column specified evaluated within the local filter context.