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jmaikido's avatar
jmaikido
Microsoft Employee
7 years ago
Solved

importing word wrap text

Hi folks I'm at a road block. Imagine I'm importing a .xlsx file that has 2 columns, Col A and Col B. Col A text is not wrapped but Col B text is and there is NO delimiter between the the words that ...
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  • Anonymous's avatar
    Anonymous
    7 years ago

    Hi jmaikido,

     

    I'd like to suggest you do text.split and expand function in query editor to extract the value to new row, it may fix your issue.

     

    Full query:

    let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSkxKVtIBkQpJySkKySmpSrE6QFGIIJyfClYFUgRUAxGNBQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Col1 = _t, Col2 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Col1", type text}, {"Col2", type text}}),
    #"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each Text.Split([Col2]," ")),
    #"Expanded Custom" = Table.ExpandListColumn(#"Added Custom", "Custom"),
    #"Removed Columns" = Table.RemoveColumns(#"Expanded Custom",{"Col2"})
in
    #"Removed Columns"

     

    Regards,

    Xiaoxin Sheng

Anonymous's avatar
Anonymous
Not applicable
7 years ago

Hi jmaikido,

 

I'd like to suggest you do text.split and expand function in query editor to extract the value to new row, it may fix your issue.

 

Full query:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSkxKVtIBkQpJySkKySmpSrE6QFGIIJyfClYFUgRUAxGNBQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Col1 = _t, Col2 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Col1", type text}, {"Col2", type text}}),
    #"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each Text.Split([Col2]," ")),
    #"Expanded Custom" = Table.ExpandListColumn(#"Added Custom", "Custom"),
    #"Removed Columns" = Table.RemoveColumns(#"Expanded Custom",{"Col2"})
in
    #"Removed Columns"

 

Regards,

Xiaoxin Sheng