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slyfox's avatar
slyfox
Helper II
4 years ago
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Dear Colleagues,   Please tell me which operator is most suitable for my task. I have a simple table with 12,000 rows of accounts, some of which may be duplicates. How do I identify strings like th...
  • v-kkf-msft's avatar
    4 years ago

    Hi slyfox ,

     

    1. In your data, if the values of the [User Name] column with similar user name are empty, then you can just delete the rows with empty values of column [User Name].

     

     

    2. Or you can add a custom column and remove the rows that satisfy the condition: [User Name.1] = [Standard Name].

     

     

    = Text.Select([User Name.1], {"a".."z","A".."Z"})

     

     

    And the complete code is as follows:

     

     

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WsjA2tzRS0lEKTsxNzCtJVAjOzSzJUAAJ+AIZSrE60UqWRhZmxkARmGC8IVgYKGpiiCxsBBY2BBuWpxCVkZiXDmFDlEOVJuaB9McCAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Id = _t, #"User Name" = _t, #"User Name.1" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"Id", Int64.Type}, {"User Name", type text}, {"User Name.1", type text}}),
        #"Added Custom" = Table.AddColumn(#"Changed Type", "Standard Name", each Text.Select([User Name.1], {"a".."z","A".."Z"})),
        #"Filtered Rows" = Table.SelectRows(#"Added Custom", each ([User Name.1] = [Standard Name]))
    in
        #"Filtered Rows"

     

     

     

    If the problem is still not resolved, please provide detailed error information or the expected result you expect. Let me know immediately, looking forward to your reply.

    Best Regards,
    Winniz

    If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.