Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
Hi
I am new to power bi power query editor. Can someone please help me with transforming the data in excel format (row 1-7) to the data readable format for powerbi?
I have tried to use transpose and pivot without much success 😞
Town | Sg | My | Vn | |||
Ccy | Sgd | Myr | Vnd | |||
Rate | 1 | 2 | 3 | |||
Code | Type | Product | ||||
1 | Rated | Cash | 100 | 200 | 300 | |
2 | Unrated | Loan | 400 | 500 | 600 | |
3 | Unrated | Bond | 700 | 800 | 900 | |
Code | Type | Product | Balance | Town | Ccy | Rate |
1 | Rated | Cash | 100 | Sg | Sgd | 1 |
1 | Rated | Cash | 200 | My | Myr | 2 |
1 | Rated | Cash | 300 | Vn | Vnd | 3 |
2 | Unrated | Loan | 400 | Sg | Sgd | 1 |
2 | Unrated | Loan | 500 | My | Myr | 2 |
2 | Unrated | Loan | 600 | Vn | Vnd | 3 |
3 | Unrated | Bond | 700 | Sg | Sgd | 1 |
3 | Unrated | Bond | 800 | My | Myr | 2 |
3 | Unrated | Bond | 900 | Vn | Vnd | 3 |
import your data without header as Source
then input this code as Custom1
= let a=Table.ToColumns(Source),b=Table.ToRows(Source) in #table(List.FirstN(b{3},3)&{"Balance"}&List.FirstN(a{2},3),List.TransformMany(List.Skip(b,4),each List.Skip(List.Zip({_,a}),3),(x,y)=>List.FirstN(x,3)&{y{0}}&List.FirstN(y{1},3)))
Thanks, this works for a table format. How can I modify the code to work with a worksheet?
Hi @Query_query
You can put the following code to Advanced Editor in power query
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUQpKLElNAdLOicUZQMrQwABIBqeDCZC4oVKsDlaVRmCVvpVgoggkgEulMVhlWB6YAIkbg1UaAVmheUVQtT75iSAFJtjtx6rWFLsLsKo1w+4GYxS1TvlgKXPsbsCq1gK7G7CqtcTihlgA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Code = _t, Type = _t, Product = _t, Balance = _t, Town = _t, Ccy = _t, Rate = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Code", Int64.Type}, {"Type", type text}, {"Product", type text}, {"Balance", Int64.Type}, {"Town", type text}, {"Ccy", type text}, {"Rate", Int64.Type}}),
#"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Changed Type", {{"Rate", type text}}, "en-US"), List.Distinct(Table.TransformColumnTypes(#"Changed Type", {{"Rate", type text}}, "en-US")[Rate]), "Rate", "Balance", List.Sum),
#"Removed Columns" = Table.RemoveColumns(#"Pivoted Column",{"Town", "Ccy"}),
#"Grouped Rows" = Table.Group(#"Removed Columns", {"Code", "Type", "Product"}, {{"1", each List.Sum([1]), type nullable number}, {"2", each List.Sum([2]), type nullable number}, {"3", each List.Sum([3]), type nullable number}}),
#"Changed Type1" = Table.TransformColumnTypes(#"Grouped Rows",{{"1", Int64.Type}, {"2", Int64.Type}, {"3", Int64.Type}})
in
#"Changed Type1"
Output
Best Regards!
Yolo Zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.