Forum Discussion
Anonymous
6 years agoNot applicable
Transform Delimited Data
Hi, I hae a set of data that looks like below; FirstName Surname EmployeeID Result Ryan|Alan|Ryan Arrowsmith|Delaney|Delaney 123456|456789|456133 Positive|Positive|Negative I ...
- 6 years ago
Hi Anonymous, try this code:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCqpMzKtxzAESYJZXalqako6SY1FRfnlxbmZJRo1LKlAytRJOB4NEgUoMjYxNTM1qgNjcwhJEGRob15iCAVA2IL84sySzLLUGzvBLTU+EMPJLFIJLi1KVYmMB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [FirstName = _t, Surname = _t, EmployeeID = _t, Result = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"FirstName", type text}, {"Surname", type text}, {"EmployeeID", type text}, {"Result", type text}}), FirstName = List.Transform(Table.Column(#"Changed Type","FirstName"), Splitter.SplitTextByDelimiter("|")){0}, Surname = List.Transform(Table.Column(#"Changed Type","Surname"), Splitter.SplitTextByDelimiter("|")){0}, EmployeeID = List.Transform(Table.Column(#"Changed Type","EmployeeID"), Splitter.SplitTextByDelimiter("|")){0}, Result = List.Transform(Table.Column(#"Changed Type","Result"), Splitter.SplitTextByDelimiter("|")){0}, #"Combined Lists" = List.Zip({FirstName,Surname,EmployeeID,Result}), #"Converted to Table" = Table.FromList(#"Combined Lists", Splitter.SplitByNothing(), null, null, ExtraValues.Error), #"Extracted Values" = Table.TransformColumns(#"Converted to Table", {"Column1", each Text.Combine(List.Transform(_, Text.From), "|"), type text}), #"Split Column by Delimiter" = Table.SplitColumn(#"Extracted Values", "Column1", Splitter.SplitTextByDelimiter("|", QuoteStyle.Csv), {"FirstName", "Surname", "EmployeeID", "Result"}), #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"FirstName", type text}, {"Surname", type text}, {"EmployeeID", Int64.Type}, {"Result", type text}}) in #"Changed Type1"As you can see, this works 4 items, and should work with an indefinite number.
Becomes...
You just have to rename your columns to whatever you want them to be. (EDIT: I changed to the code to rename them back to the original names in the split step. Didn't bother uploading a revised image though)
Ashish_Mathur
6 years agoSuper User
Hi,
Taking a hint from Vvelarde solution, try this M code
let
Source = Excel.CurrentWorkbook(){[Name="Data"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"FirstName", type text}, {"Surname", type text}, {"EmployeeID", type text}, {"Result", type text}}),
#"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 1, 1),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Added Index", {"Index"}, "Attribute", "Value"),
#"Split Column by Delimiter" = Table.SplitColumn(#"Unpivoted Other Columns", "Value", Splitter.SplitTextByDelimiter("|", QuoteStyle.Csv), {"Value.1", "Value.2", "Value.3"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Value.1", type text}, {"Value.2", type text}, {"Value.3", type text}}),
#"Removed Columns" = Table.RemoveColumns(#"Changed Type1",{"Index"}),
#"Transposed Table" = Table.Transpose(#"Removed Columns"),
#"Promoted Headers" = Table.PromoteHeaders(#"Transposed Table", [PromoteAllScalars=true]),
#"Changed Type2" = Table.TransformColumnTypes(#"Promoted Headers",{{"FirstName", type text}, {"Surname", type text}, {"EmployeeID", Int64.Type}, {"Result", type text}})
in
#"Changed Type2"
This will work for as many columns as you keep adding.
Hope this helps.
Anonymous
6 years agoNot applicable
I only get 3 rows using this code?
- Ashish_Mathur6 years agoSuper User
Hi,
I do not know whom you are replying to but if it is me then that is what the result should show - only 3 rows.
- Anonymous6 years agoNot applicable
Ashish_Mathur Sorry yes your code only gives me 3 rows, if I add more data I still get three rows
- Ashish_Mathur6 years agoSuper User
Hi,
Try this M code
let Source = Excel.CurrentWorkbook(){[Name="Data"]}[Content], #"Changed Type" = Table.TransformColumnTypes(Source,{{"FirstName", type text}, {"Surname", type text}, {"EmployeeID", type text}, {"Result", type text}}), #"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 1, 1), #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Added Index", {"Index"}, "Attribute", "Value"), #"Split Column by Delimiter" = Table.SplitColumn(#"Unpivoted Other Columns", "Value", Splitter.SplitTextByDelimiter("|", QuoteStyle.Csv), {"Value.1", "Value.2", "Value.3"}), #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Value.1", type text}, {"Value.2", type text}, {"Value.3", type text}}), #"Merged Columns" = Table.CombineColumns(#"Changed Type1",{"Value.1", "Value.2", "Value.3"},Combiner.CombineTextByDelimiter(";", QuoteStyle.None),"Merged"), #"Split Column by Delimiter1" = Table.ExpandListColumn(Table.TransformColumns(#"Merged Columns", {{"Merged", Splitter.SplitTextByDelimiter(";", QuoteStyle.Csv), let itemType = (type nullable text) meta [Serialized.Text = true] in type {itemType}}}), "Merged"), #"Changed Type2" = Table.TransformColumnTypes(#"Split Column by Delimiter1",{{"Merged", type text}}), Partition = Table.Group(#"Changed Type2", {"Attribute"}, {{"Partition", each Table.AddIndexColumn(_, "Index1",1,1), type table}}), #"Expanded Partition" = Table.ExpandTableColumn(Partition, "Partition", {"Index", "Merged", "Index1"}, {"Index", "Merged", "Index1"}), #"Sorted Rows" = Table.Sort(#"Expanded Partition",{{"Index", Order.Ascending}, {"Index1", Order.Ascending}}), #"Pivoted Column" = Table.Pivot(#"Sorted Rows", List.Distinct(#"Sorted Rows"[Attribute]), "Attribute", "Merged"), #"Removed Columns" = Table.RemoveColumns(#"Pivoted Column",{"Index", "Index1"}), #"Reordered Columns" = Table.ReorderColumns(#"Removed Columns",{"FirstName", "Surname", "EmployeeID", "Result"}) in #"Reordered Columns"Hope this helps.