Forum Discussion
Dax query
I have a table named (data) and two columns team1 and team2
want to undersand
1. count number of maches played by each team and
2. count of wins by each team
input data
| team1 | team2 | winner |
| a | c | a |
| a | b | b |
| b | a | b |
| b | c | c |
| c | a | a |
| c | b | b |
| d | a | a |
| a | d | d |
Ouput data:
| Team | matches | wins |
| a | 6 | 3 |
| b | 4 | 3 |
| c | 4 | 1 |
| d | 2 | 1 |
Hi amitgajkal2007
The first step is to transform the table to vertical to make the analysis easier.You can do it with the "unpivot" option of PQ
Then you will get the table as in the picture :
From here you can create 2 simple dax measures :
1. For matches :
matches = COUNTROWS('Table')2. For wins:wins = CALCULATE([matches],SELECTEDVALUE('Table'[Team])='Table'[winner])Result :pbix is attached, you can follow my steps at pq and dax.
If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly
6 Replies
Hi amitgajkal2007
The first step is to transform the table to vertical to make the analysis easier.You can do it with the "unpivot" option of PQ
Then you will get the table as in the picture :
From here you can create 2 simple dax measures :
1. For matches :
matches = COUNTROWS('Table')2. For wins:wins = CALCULATE([matches],SELECTEDVALUE('Table'[Team])='Table'[winner])Result :pbix is attached, you can follow my steps at pq and dax.
If this post helps, then please consider Accepting it as the solution to help the other members find it more quickly
Thats good one....i spent hours to figure it out using DAX. Prbolem with this is that it forms many to many relationship that is difficult to handle
Is there a solution using DAX? (Just Curious)Hi amitgajkal2007
Happy to help 🙂 Why many to many,
it is just 1 table..
According to DAX, I see that @sanalytics gave a solution.
Hello amitgajkal2007
As per your question has stated "Dax Query",
Below is the complete DAX code without doing any manipulation in PQ.
Step : Create a Calculated Table for Supporting purpose. Below is the code.
SupportingTable =
UNION(
SELECTCOLUMNS(
'Table',"Teams",'Table'[team1]
),
SELECTCOLUMNS(
'Table',"Teams",'Table'[team2]
) )Step : Use the below code for your output in DAX studio or DAX query view in Power BI desktop
EVALUATE
VAR _2 =
SELECTCOLUMNS(
SUMMARIZE(
UNION(
SUMMARIZECOLUMNS( 'Table'[team1] ),
SUMMARIZECOLUMNS( 'Table'[team2]
)
), 'Table'[team1]
), "@Teams",'Table'[team1] )
VAR _3 =
ADDCOLUMNS(
_2,"MatchCount",
CALCULATE( COUNT( SupportingTable[Teams] ), FILTER( SupportingTable, SupportingTable[Teams] = [@Teams] ) ),
"Wins",CALCULATE( COUNT('Table'[winner] ), FILTER( 'Table','Table'[winner] = [@Teams] ) )
)
RETURN
_3Below is the screenshot
Regards
sanalytics
I am trying to use above (mentioned in DAX query) code in a measure but i am not able to get it.
This is a reference table which i have build...actual tbale has 4 table, like 20 columns and realted with each other.
I am not able to use unpivot option if i use it then it create havoc in other dashboards (the slicer simply doesnt filter).
thank you but if you can let me know how i can use it above query in Dax measure then i will use the analogy on actual data.Thank you
