This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreLevel up your Power BI skills this month - build one visual each week and tell better stories with data! Get started
Hi ,
I need help achieve this expected output where the resultant is a transposed data. Row scrore is transposed into a column but instead of manually renaming as Country1_Score is there an automated way and automatically create the sheet name as another column
Solved! Go to Solution.
Hi @han_rj, check this:
Output
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8swrKC1R0lFCoFidaCjTOb80r6SoUsEQVSY4tbg4Mz/PEME0QjCNEUwTsIbg5PyiVKCgoQGQMAURRmAWWNI3NSUxByQExMZgUaBCJBfgdJIRNZxkCrXZDKt7DKBuAronFgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t]),
// You can probably delete this step.
ReplacedBlankWithNull = Table.TransformColumns(Source,{}, each if _ = "" then null else _),
FilteredRows = Table.SelectRows(ReplacedBlankWithNull, each not List.IsEmpty(List.RemoveNulls(Record.ToList(_)))),
FnCheckCountry = each List.Contains(Record.ToList(_), "Country", (x,y)=> Text.StartsWith(x ?? "", y)),
RemovedTopRows = Table.Skip(FilteredRows, each not FnCheckCountry(_)),
Ad_GroupHelper = Table.AddColumn(RemovedTopRows, "GroupHelper", each FnCheckCountry(_), type logical),
GroupedRows = Table.Group(Ad_GroupHelper, "GroupHelper", {{"T", each
[ a = Table.RemoveColumns(_, {"GroupHelper"}),
b = Table.PromoteHeaders(Table.FromRows(Table.ToColumns(Table.Skip(a)))),
c = List.Transform(Table.ColumnNames(b), (x)=> Text.Combine({List.RemoveNulls(Record.ToList(a{0})){0}, x}, "_")),
d = Table.RenameColumns(b, List.Zip({ Table.ColumnNames(b), c }))
][d], type table}}, 0,
(x,y)=> Byte.From(y = true) ),
T = GroupedRows[T],
Combined = Table.FromColumns(List.Combine(List.Transform(T, Table.ToColumns)), List.Combine(List.Transform(T, Table.ColumnNames)) ),
RenamedColumns = Table.RenameColumns(Combined,{{Table.ColumnNames(Combined){0}, "Type"}}),
RemovedOtherColumns = Table.SelectColumns(RenamedColumns, List.Select(Table.ColumnNames(RenamedColumns), (x)=> not Text.EndsWith(x, "Column1")))
in
RemovedOtherColumns
Hi @han_rj, check this:
Output
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8swrKC1R0lFCoFidaCjTOb80r6SoUsEQVSY4tbg4Mz/PEME0QjCNEUwTsIbg5PyiVKCgoQGQMAURRmAWWNI3NSUxByQExMZgUaBCJBfgdJIRNZxkCrXZDKt7DKBuAronFgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t]),
// You can probably delete this step.
ReplacedBlankWithNull = Table.TransformColumns(Source,{}, each if _ = "" then null else _),
FilteredRows = Table.SelectRows(ReplacedBlankWithNull, each not List.IsEmpty(List.RemoveNulls(Record.ToList(_)))),
FnCheckCountry = each List.Contains(Record.ToList(_), "Country", (x,y)=> Text.StartsWith(x ?? "", y)),
RemovedTopRows = Table.Skip(FilteredRows, each not FnCheckCountry(_)),
Ad_GroupHelper = Table.AddColumn(RemovedTopRows, "GroupHelper", each FnCheckCountry(_), type logical),
GroupedRows = Table.Group(Ad_GroupHelper, "GroupHelper", {{"T", each
[ a = Table.RemoveColumns(_, {"GroupHelper"}),
b = Table.PromoteHeaders(Table.FromRows(Table.ToColumns(Table.Skip(a)))),
c = List.Transform(Table.ColumnNames(b), (x)=> Text.Combine({List.RemoveNulls(Record.ToList(a{0})){0}, x}, "_")),
d = Table.RenameColumns(b, List.Zip({ Table.ColumnNames(b), c }))
][d], type table}}, 0,
(x,y)=> Byte.From(y = true) ),
T = GroupedRows[T],
Combined = Table.FromColumns(List.Combine(List.Transform(T, Table.ToColumns)), List.Combine(List.Transform(T, Table.ColumnNames)) ),
RenamedColumns = Table.RenameColumns(Combined,{{Table.ColumnNames(Combined){0}, "Type"}}),
RemovedOtherColumns = Table.SelectColumns(RenamedColumns, List.Select(Table.ColumnNames(RenamedColumns), (x)=> not Text.EndsWith(x, "Column1")))
in
RemovedOtherColumns
The steps to get to your output will be a bit involved. Hope you can follow my descripiton here:
Start by adding a calculated column (let's call this Column 6) and setting it to Column 3 IF the contents of Column 1, 2, 4 or 5 are NULL.
Do a Fill Down to propagate that value to the rows below.
Assign column names manually: "Type", Session1, 2, 3, 4, and Country
Filter out where the first column (Type, or whatevery you name it) is null. You should now have a dataset of four rows and 6 columns.
Now experiment with various PIVOT and UNPIVOT operations.
Hope that helps
Proud to be a Super User! | |
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.