Checking multiple columns and visualizing aggregated value when condition met in multiple columns

Hi , Anonymous 

For you to present the combined data in a table, this is not very easy to implement, because we are placing fields, which are not automatically generated in Power BI.

For your requirements, I have modified my measures and implemented your requirements, you can refer to ,Here are the steps you can refer to :

(1)We need to update the two measures:

How many people = var _t =FILTER( 'Table' , 'Table'[Value]="Y")
var _slicer_product =COUNTROWS( VALUES('Table'[Product]))
var _total_t  = SUMMARIZE( 'Table' , 'Table'[Name], "count" , CALCULATE( COUNT('Table'[Product]) , 'Table'[Value] = "Y"),"slice" , _slicer_product)
var _t2 =COUNTROWS( FILTER( _total_t , [count]= [slice]))
return
IF( HASONEVALUE('Table'[Product]) , COUNTROWS(_t),_t2 )

who people = 
var _slicer_product =COUNTROWS( VALUES('Table'[Product]))
var _total_t  = SUMMARIZE( 'Table' , 'Table'[Name], "count" , CALCULATE( COUNT('Table'[Product]) , 'Table'[Value] = "Y"),"slice" , _slicer_product)
var _t2 = FILTER( _total_t , [count]= [slice])
return
CONCATENATEX(_t2 , [Name],",")

(2)For your need , the visual in card , you can use this dax :

Accounts = var _slicer_product =COUNTROWS( VALUES('Table'[Product]))
var _total_t  = SUMMARIZE( 'Table' , 'Table'[Name], "count" , CALCULATE( COUNT('Table'[Product]) , 'Table'[Value] = "Y"),"slice" , _slicer_product)
var _t2 =COUNTROWS( FILTER( _total_t , [count]= [slice]))
return
_t2

(3)The result is as follows:

If this method does not meet your needs, you can provide us with your special sample data and the desired output sample data in the form of tables, so that we can better help you solve the problem.

Best Regards,

Aniya Zhang

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