different dax query for each row

[Anonymous]

I have two tables 

table 1 

id  a   b    c    d  (columns)

1   0   1    1    1  (rows)

2   1   0    1    0  

table 2

feature  adoption  frequency (columns)

a

b

c

d

Now i want to fill adoption column in table 2.  This column will have count of all the "1" from table 1. I need to match column value (feature) from table 2 and column (a) from table 1. 

eg adoption for feature 'a' will count of all the rows from column 'a' in table 1 where row value=1.

How can I implement this? All the columns in both the tables are calculated columns.   

[v-huizhn-msft · Accepted solution]

Hi @Anonymous,

I try to reproduce yourscenario and get expected result using the following steps.

1. Right click Table1 -> Edit Query, like the screenshot.



2. Select a,b,c,d column->click Unpivot columns->Close&Apply. You will get the table like the second screenshot below.





3. Create a relationship between Table1 and Table2. More details about creating and management relationship, please review this article.



4. Create a calculated column using the formula, you will get the desired result.

adoption = CALCULATE(COUNT(Table1[Value]),Table1[Value]=1)

If you have other issues, don't hesitate to let me know.

Best Regards,
Angelia

[Greg_Deckler]

That's pretty nasty. Off the top of my head, maybe a custom column in table 2, something like:

IF([Feature] = "a",SUM('table 1'[a]),IF([Feature] = "b",SUM('table 1[b],...

Probably cleaner with a SWITCH statement.