filtering matrix by columns

[Anonymous]

Hi, 

I have a matrix like this (column month row client id and value sales) and I want to filter only the rows which has non blank in each column (1000006861 and 1000011110 would be filtered)

Thanks a lot,

Marcos Pérez

[AlB]

Hi @Anonymous 

This would probably be easier and more convenient if you unpivoted the month columns.

In any case, with this structure, you could create a new calculates table as follows, where Table1 is the table that you show. Add more months if necessary, following the same pattern.

NewTable =
FILTER (
    Table1,
    Table1[Enero] <> BLANK () && Table1[Febrero] <> BLANK ()
)

[Anonymous]

Hi @AlB, In fact I have already the data unpivotted like this. What I want is to know the number of clients who have bought in both months. Thanks! 

[AlB · Accepted solution]

@Anonymous 

Try placing this measure in a card visual:

BoughtInEneroAndFebrero =
VAR _BoughtInEnero =
    CALCULATETABLE ( DISTINCT ( Table1[IDCLIENTE] ), Table1[MES] = "Enero" )
VAR _BoughtInFebrero =
    CALCULATETABLE ( DISTINCT ( Table1[IDCLIENTE] ), Table1[MES] = "Febrero" )
RETURN
    COUNTROWS ( INTERSECT ( _BoughtInEnero, _BoughtInFebrero ) )

I'm assuming that an IDCLIENTE will only come up in the table for a specific month if there have been sales (i.e. it cannot be the case that you have a blank in IMPORTE 

[Anonymous]

@AlB Thanks! It works.  Finally do you know how can I add a month slicer in the same scenario to make it dinamically? Because that measure has "Enero" and "Febrero" hardcoded. Would it be possible to do it with a slicer?

Thank you! You helped me a lot