Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
I have this time series data that I would like to be able to filter on the column names in a slicer.
Is there a measure I can create that provides a list of the column names? I'd like to have a drop down list of the different columns.
thank you for any help.
Solved! Go to Solution.
Hi datadad84,
If you want to slicer based on column name , you could try to modify data structure to unpivot column like below
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSlTSUTI0BRIgbKIUqxOtlAQSMgIRBkDCGCyWDOIaAwlzIDZSio0FAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [name = _t, c1 = _t, c2 = _t, c3 = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"name", type text}, {"c1", Int64.Type}, {"c2", Int64.Type}, {"c3", Int64.Type}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"name"}, "Attribute", "Value")
in
#"Unpivoted Columns"
Or you could create a new table with column name in it(use this in slicer), then you need to create measure for each column (m1,m2,m3), then use below meausre to see whether it work or not
= switch(TRUE(),SELECTEDVALUE('Table'[name])="a", m1, SELECTEDVALUE('Table'[name])="b", m2)
Best Regards,
Zoe Zhi
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
I solved this issue by 'unpivotiing' the columns in the query editor
Hi datadad84,
If you want to slicer based on column name , you could try to modify data structure to unpivot column like below
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSlTSUTI0BRIgbKIUqxOtlAQSMgIRBkDCGCyWDOIaAwlzIDZSio0FAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [name = _t, c1 = _t, c2 = _t, c3 = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"name", type text}, {"c1", Int64.Type}, {"c2", Int64.Type}, {"c3", Int64.Type}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"name"}, "Attribute", "Value")
in
#"Unpivoted Columns"
Or you could create a new table with column name in it(use this in slicer), then you need to create measure for each column (m1,m2,m3), then use below meausre to see whether it work or not
= switch(TRUE(),SELECTEDVALUE('Table'[name])="a", m1, SELECTEDVALUE('Table'[name])="b", m2)
Best Regards,
Zoe Zhi
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
109 | |
99 | |
77 | |
66 | |
54 |
User | Count |
---|---|
144 | |
104 | |
102 | |
87 | |
64 |