Forum Discussion
Helper IDynamic filter bases on two columns
I am struggling with something that may be simple to solve. I want to make a dynamic bar chart, by year and month, to present counts of distinct ID that fits the criteria based on columns Filter1 and Filter2. For simplicity, I am only using as an example a few lines from a large table assuming all are from the same year and month.
ID | Filter1 | Filter2 |
ID1 | A | D |
ID1 | B | D |
ID2 | A | F |
ID2 | B | E |
ID3 | A | D |
ID3 | B | F |
ID4 | B | D |
ID4 | C | D |
ID5 | B | D |
ID5 | C | E |
ID6 | A | D |
ID6 | B | D |
ID6 | C | D |
An example of the questions I am trying to visualize is?
1-How many times A and B were concomitantly present in an ID? Answer = 4 (ID1;ID2;ID3;ID6). This would later answer a similar question to B and C, or for the three A, B, and C.
2- How many times A and B were concomitantly present in an ID and A had Filter2= D and B had Filter2= D?
Answer= 2 (ID1; ID6)
2- How many times A and B were concomitantly present in an ID and A had Filter2= D and B had Filter2= E?
Answer= 0
Any help in how I could do this is welcome!
2 Replies
- amitchandak
Super User
Giovani , First 2 should be possible using
measure =
var _cnt = countrows(selectedvalues(Table[Filter1]))
return
countx(filter(summarize(table,Table[ID],"_1" ,calculate(distinctCOUNT(Table[ID]))),[_1]=_cnt),[_1])Last on can not be dynamic unless you can cat two fields or try like
measure =
var _cnt = countrows(selectedvalues(Table[Filter1]))
return
countx(filter(summarize(table,Table[ID],"_1" ,calculate(distinctCOUNT(Table[ID]), filter(Table, (Table[Filter1] ="A" && Table[Filter2] ="D") || (Table[Filter1] ="B" && Table[Filter2] ="E" )))),[_1]=_cnt),[_1])
Giovaniamitchandak Thanks for the help. But I couldn`t make it work.
Syntax error:
The syntax for 'Table' is incorrect. (DAX(var _cnt = countrows(selectedvalue(Table[Filter1]))returncountx(filter(summarize(table,Table[ID],"_1" ,calculate(distinctCOUNT(Table[ID]))),[_1]=_cnt),[_1]))).
