Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more

Reply
s15
Helper III
Helper III

Pivot multiple columns

 

Hi guys,

 

I have a dataset like below

 

population.PNG

 

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.

 

transpore.PNG

1 ACCEPTED SOLUTION
v-sihou-msft
Microsoft Employee
Microsoft Employee

@s15

 

Please follow steps below:

 

1. Unpivot all years columns.

 

123.PNG

 

2. Then rename the Attribute column into Year.

 

234.PNG

 

3. Pivot Country column.

 

345.PNG

 

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,

 

View solution in original post

3 REPLIES 3
v-sihou-msft
Microsoft Employee
Microsoft Employee

@s15

 

Please follow steps below:

 

1. Unpivot all years columns.

 

123.PNG

 

2. Then rename the Attribute column into Year.

 

234.PNG

 

3. Pivot Country column.

 

345.PNG

 

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 🙂

Thank you @v-sihou-msft That works perfectly!

Helpful resources

Announcements
Power BI DataViz World Championships

Power BI Dataviz World Championships

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!

December 2025 Power BI Update Carousel

Power BI Monthly Update - December 2025

Check out the December 2025 Power BI Holiday Recap!

FabCon Atlanta 2026 carousel

FabCon Atlanta 2026

Join us at FabCon Atlanta, March 16-20, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.