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

July 7 - July 17 | Round 2 of the Power BI Dataviz World Championships. Don't miss your chance! Learn more

Reply
rsrajkumar
Helper I
Helper I

Transform and Transpose data

Hi,

I have loaded the below data form an excel file:

 

Column 1MTDYTD
Orders  
A3.05.0
B8.010.0
C2.03.0
D7.08.0
   
Sales  
A7.09.0
B15.017.0
C3.06.0
D5.07.0
   
Profit  
A6.07.0
B4.06.0
C2.04.0
D1.03.0

 

 

I would like to transform and transpose the data to the below format:

CategoryProductMTDYTD
OrdersA3.05.0
 B8.010.0
 C2.03.0
 D7.08.0
SalesA7.09.0
 B15.017.0
 C3.06.0
 D5.07.0
ProfitA6.07.0
 B4.06.0
 C2.04.0
 D1.03.0

 

Please let me know how this can be done

 

Thanks

3 ACCEPTED SOLUTIONS
wini_R
Solution Supplier
Solution Supplier

Hey @rsrajkumar,

Your input table is a single table or there are 3 separate ones? If the former, then you can try these steps in Power Query (just paste the code in Advanced Editor to see it in action):

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8i9KSS0qVtJRUgDjWJ1oJUcgy1jPAEiaAkmQiBOQbQEWMTSACjkDOUZgIWOoiAuQbQ4WsYCKKKAYG5yYk4ppEUSHJZJFhqYQm8yRbII4xwzJJogic6w2BRTlp2WWYFhlhqIFZJUJirEIL5kgWWSI8GQsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Product = _t, MTD = _t, YTD = _t]),
    #"Added Custom" = Table.AddColumn(Source, "Category", each if [Product] = "Orders" or [Product] = "Sales" or[Product] = "Profit" then [Product] else null),
    #"Filled Down" = Table.FillDown(#"Added Custom",{"Category"}),
    #"Filtered Rows" = Table.SelectRows(#"Filled Down", each ([Product] <> " " and [Product] <> "Sales" and [Product] <> "Orders" and [Product] <> "Profit")),
    #"Reordered Columns" = Table.ReorderColumns(#"Filtered Rows",{"Category", "Product", "MTD", "YTD"})
in
    #"Reordered Columns"

 

Output table:

wini_R_0-1739305577241.png

 

View solution in original post

ryan_mayu
Super User
Super User

@rsrajkumar 

pls see the attachment below





Did I answer your question? Mark my post as a solution!

Proud to be a Super User!




View solution in original post

6 REPLIES 6
ryan_mayu
Super User
Super User

@rsrajkumar 

pls see the attachment below





Did I answer your question? Mark my post as a solution!

Proud to be a Super User!




@ryan_mayu  Thank you very much!

you are welcome





Did I answer your question? Mark my post as a solution!

Proud to be a Super User!




wini_R
Solution Supplier
Solution Supplier

Hey @rsrajkumar,

Your input table is a single table or there are 3 separate ones? If the former, then you can try these steps in Power Query (just paste the code in Advanced Editor to see it in action):

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8i9KSS0qVtJRUgDjWJ1oJUcgy1jPAEiaAkmQiBOQbQEWMTSACjkDOUZgIWOoiAuQbQ4WsYCKKKAYG5yYk4ppEUSHJZJFhqYQm8yRbII4xwzJJogic6w2BRTlp2WWYFhlhqIFZJUJirEIL5kgWWSI8GQsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Product = _t, MTD = _t, YTD = _t]),
    #"Added Custom" = Table.AddColumn(Source, "Category", each if [Product] = "Orders" or [Product] = "Sales" or[Product] = "Profit" then [Product] else null),
    #"Filled Down" = Table.FillDown(#"Added Custom",{"Category"}),
    #"Filtered Rows" = Table.SelectRows(#"Filled Down", each ([Product] <> " " and [Product] <> "Sales" and [Product] <> "Orders" and [Product] <> "Profit")),
    #"Reordered Columns" = Table.ReorderColumns(#"Filtered Rows",{"Category", "Product", "MTD", "YTD"})
in
    #"Reordered Columns"

 

Output table:

wini_R_0-1739305577241.png

 

Hi @wini_R , Thanks for your quick response. It is from a single table. What is the significance of the text that follows "Binary.FromText"

Hey @rsrajkumar,

For your final solution it doesn't matter, that step should be replaced with your source data. It is here to simplify code sharing between users - anyone can grab it and use in their power query editor without the need to load/prepare some sample data. Essentially it is your input table encoded to Base64 format.

Helpful resources

Announcements
FabCon and SQLCon Barcelona 2026

FabCon & SQLCon – Barcelona 2026

Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.

60 days of Data Days Carousel

Data Days 2026

Join Fabric Data Days 2026: 60 days of free live/on-demand sessions, challenges, study groups, and certification opportunities.

Power BI DataViz World Championships carousel

Power BI DataViz World Championships - June 2026

A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.

Top Solution Authors