This is best Fabric, Power BI, SQL and AI community event. How do we know? The last event sold out! Save €200 with code FABCMTY200.
Register nowJuly 28 - August 9 | Final Round of the Power BI Dataviz World Championships. This is your chance. Learn more
Hi, I would like to calculate the total # of results for a given row/person for pass or fail. What is the based way to perform this and display in a new column and potentially a tile?
| Person | Test 1 | Test 2 | Test 3 | Test 4 |
| Adam | Pass | Pass | Fail | Pass |
| John | Pass | Fail | Pass | Pass |
| Joe | Fail | Pass | Fail | Fail |
Solved! Go to Solution.
Hi, @ez1138
According to your description, I think you can use'unpivot other columns' function in PQ first, then create a measure to display your desired result.
Like this:
Measure =
SUMX (
SUMMARIZE (
'Table',
'Table'[Person],
'Table'[Value],
"a",
VAR a =
COUNTROWS ( FILTER ( 'Table', [Value] = "Fail" ) )
VAR b =
COUNTROWS ( FILTER ( 'Table', [Value] = "Pass" ) )
RETURN
IF ( SELECTEDVALUE ( 'Table'[Value] ) = "Pass", b, a )
),
[a]
)Here is my sample .pbix file.Hope it helps.
If it doesn’t solve your problem, please feel free to ask me.
Best Regards
Janey Guo
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi, @ez1138
According to your description, I think you can use'unpivot other columns' function in PQ first, then create a measure to display your desired result.
Like this:
Measure =
SUMX (
SUMMARIZE (
'Table',
'Table'[Person],
'Table'[Value],
"a",
VAR a =
COUNTROWS ( FILTER ( 'Table', [Value] = "Fail" ) )
VAR b =
COUNTROWS ( FILTER ( 'Table', [Value] = "Pass" ) )
RETURN
IF ( SELECTEDVALUE ( 'Table'[Value] ) = "Pass", b, a )
),
[a]
)Here is my sample .pbix file.Hope it helps.
If it doesn’t solve your problem, please feel free to ask me.
Best Regards
Janey Guo
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
The process is called unpivoting - transforming your source data into usable format.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WckxJzFXSUQpILC5GUG6JmTkwXqxOtJJXfkYedlkURakYklAemIqNBQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Person = _t, #"Test 1" = _t, #"Test 2" = _t, #"Test 3" = _t, #"Test 4" = _t]),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(Source, {"Person"}, "Attribute", "Value")
in
#"Unpivoted Other Columns"
Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.
If you love stickers, then you will definitely want to check out our community sticker challenge, Barcelona edition!
Check out the July 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 11 | |
| 10 | |
| 9 | |
| 5 | |
| 5 |