Forum Discussion
filtering matrix by columns
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
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
4 Replies
- AlB
Community Champion
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 () )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
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