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 dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hi guys,
I have a dataset like below
I'm finding the way to pivot years into a column named Years. And 5 countries shall be in 5 column headers.
If I use Transpose then I seem to lose all years.
Solved! Go to Solution.
Please follow steps below:
1. Unpivot all years columns.
2. Then rename the Attribute column into Year.
3. Pivot Country column.
See entire M query:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCg1W0lEyBGITIDZXitWJVnJOzEtMSQRyjYDYFIgtwMJuRYl5yalArjEQmwGxpVJsLAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Country = _t, #"1999" = _t, #"2000" = _t, #"2001" = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Country", type text}, {"1999", Int64.Type}, {"2000", Int64.Type}, {"2001", Int64.Type}}), #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Country"}, "Attribute", "Value"), #"Renamed Columns" = Table.RenameColumns(#"Unpivoted Columns",{{"Attribute", "Year"}}), #"Pivoted Column" = Table.Pivot(#"Renamed Columns", List.Distinct(#"Renamed Columns"[Country]), "Country", "Value", List.Sum) in #"Pivoted Column"
Regards,
Please follow steps below:
1. Unpivot all years columns.
2. Then rename the Attribute column into Year.
3. Pivot Country column.
See entire M query:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCg1W0lEyBGITIDZXitWJVnJOzEtMSQRyjYDYFIgtwMJuRYl5yalArjEQmwGxpVJsLAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Country = _t, #"1999" = _t, #"2000" = _t, #"2001" = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Country", type text}, {"1999", Int64.Type}, {"2000", Int64.Type}, {"2001", Int64.Type}}), #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Country"}, "Attribute", "Value"), #"Renamed Columns" = Table.RenameColumns(#"Unpivoted Columns",{{"Attribute", "Year"}}), #"Pivoted Column" = Table.Pivot(#"Renamed Columns", List.Distinct(#"Renamed Columns"[Country]), "Country", "Value", List.Sum) in #"Pivoted Column"
Regards,
Absolutely Great !!! you saved lot of working hours 🙂
Check out the July 2025 Power BI update to learn about new features.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
User | Count |
---|---|
68 | |
64 | |
52 | |
39 | |
26 |
User | Count |
---|---|
80 | |
57 | |
45 | |
44 | |
35 |