Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
Hello everyone,
I want to make a conditional calcul between 2 table the second table must be previously filtered with FILTER function.
The table must be filter with a SELECTEDVALUE function.
Someone can help me please.
Solved! Go to Solution.
Hi @Imad-R ,
I created some data:
Table1:
Table2:
If you want to make IF judgments by columns of two tables, you can use Selectcolumns().
SELECTCOLUMNS function (DAX) - DAX | Microsoft Learn
Custom rule.
First filter the data of Table2 with [Index] <=, after judging whether Table1's [Group] exists after filtering Table2's [Group].
Here are the steps you can follow:
1. Create calculated column.
Column =
var _table1=
FILTER(
'Table2','Table2'[Index]<=3)
var _column=
SELECTCOLUMNS(_table1,"1",[Group])
return
IF(
'Table1'[Group] in _column ,1,0)
2. Result:
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
Hi @Imad-R ,
I created some data:
Table1:
Table2:
If you want to make IF judgments by columns of two tables, you can use Selectcolumns().
SELECTCOLUMNS function (DAX) - DAX | Microsoft Learn
Custom rule.
First filter the data of Table2 with [Index] <=, after judging whether Table1's [Group] exists after filtering Table2's [Group].
Here are the steps you can follow:
1. Create calculated column.
Column =
var _table1=
FILTER(
'Table2','Table2'[Index]<=3)
var _column=
SELECTCOLUMNS(_table1,"1",[Group])
return
IF(
'Table1'[Group] in _column ,1,0)
2. Result:
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
User | Count |
---|---|
14 | |
9 | |
7 | |
7 | |
6 |
User | Count |
---|---|
22 | |
11 | |
10 | |
10 | |
8 |