return only values from a categorical variable after filtering values from a calculation in powerbi dax

Question

I have the following table created by a calculated measure:

+---------+-------+
|      col| %_calc|
+---------+-------+
| personID|   0.93|
|    empNO|   0.36|
|   gender|   0.65|
|  address|   0.55|
|    ccard|   0.93|
+---------+-------+

where %_calc = sum according to a condition/sum of all values. What I would like to do is to return only 'col' values that has %_calc < 0.6. I intend to use the value in a table visual showing only the column values that meets the condition. That means,

+---------+-------+
|      col| %_calc|
+---------+-------+
|    empNO|   0.36|
|  address|   0.55|
+---------+-------+

but in table visual, or the multi-row card, I only needed to show the words 'empNO' and 'address', without their corresponding values, because their values are less than 0.60 like below:

+---------+
|      col|
+---------+
|    empNO|
|  address|
+---------+

I tried the following:

cols_below60 =
RETURN 
    SWITCH(TRUE(),
        %_calc < 0.6, SELECTEDVALUE(table[fields]))

but what I get when I put the measure in a matrix looks like this:

+---------+-------+
|      col| %_calc|
+---------+-------+
|    empNO|  empNO|
|  address|address|
+---------+-------+

I also tried the following RETURN statement:RETURN %_calc < 0.6 but returns a boolean table like below :

+---------+-------+
|      col| %_calc|
+---------+-------+
| personID|  False|
|    empNO|   True|
|   gender|  False|
|  address|   True|
|    ccard|  False|
+---------+-------+

The closest I can make it partially work is the RETURN SWITCH TRUE from above. May I also add, I get the fields I needed to put the fields values and the cols_below60 to get the fields that are less than 60.

Update ##### using the second suggested solution, it is not working as expected.

from above, it is expected to see Expiration only because that is the only field less than 0.6, but I got all the other columns which were not supposed to be.

Answer 1

SELECTCOLUMNS( FILTER('Table', 'Table'[%_calc] < 0.6), "col", 'Table'[col])