Create a Slicer or Filter For Values Across Numerous Columns

[Jepas]

Hello,

I'm new to Power Bi. I'm modeling a dataset that has numerous columns for patient race (White, Black, Indian, etc) using values of "1" for Yes and "0" for No. Rows can contain a "1" value for more than one column (patient is both Black and White). I would like to create a slicer or filter where a user can select a race and the data will filter results for that race whenever there is a "1" value present whether it is the only race column containing a "1" value or has a "1" value in more than one race column.

Here is an example table:

Unique ID	White	Black	Indian	Japanese	Filipino
AA	1	0	0	0	0
BB	0	1	0	0	0
CC	0	0	1	0	0
DD	0	0	0	0	1
EE	1	1	0	0	0
FF	0	0	0	1	0

If the user were to filter for "Black" then I would expect both BB and EE be accounted for.

Any help with this would be greatly appreciated.

Thanks.

[v-tangjie-msft · Accepted solution]

Hi @Jepas ,

According to your description, here are my steps you can follow as a solution.

(1) My test data is the same as yours.

(2) We can create a slicer table and then we can create a measure. 

Slicer Table = DATATABLE ( 
    "Slicer", STRING, 
    {
        { "Black" },
        { "White" },
        { "Indian" },
        { "Japanese" },
        { "Filipino" }
    }
) 

Flag = SWITCH(TRUE(),
SELECTEDVALUE('Slicer Table'[Slicer])="Black" && MAX('Table'[Black])=1,1,
SELECTEDVALUE('Slicer Table'[Slicer])="White" && MAX('Table'[White])=1,1,
SELECTEDVALUE('Slicer Table'[Slicer])="Filipino" && MAX('Table'[Filipino])=1,1,
SELECTEDVALUE('Slicer Table'[Slicer])="Indian" && MAX('Table'[Indian])=1,1,
SELECTEDVALUE('Slicer Table'[Slicer])="Japanese" && MAX('Table'[Japanese])=1,1,
ISFILTERED('Slicer Table'[Slicer])=FALSE(),1,0)

(3) Place [flag=1] on visual object screening and then the result is as follows.

If the above one can't help you get the desired result, please provide some sample data in your tables (exclude sensitive data) with Text format and your expected result with backend logic and special examples. It is better if you can share a simplified pbix file. Thank you.

Best Regards,

Neeko Tang

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