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keylian031987's avatar
keylian031987
Regular Visitor
3 years ago
Solved

Identify same text but with one different word

Hello,

I have a problem in my query where I have this titles that are the same, but the difference is that one says Spanish at the end, and the other one says English.

Their ID is also different, so the only thing that is equal is everything in the title before the language specification. I need to eliminate one of them, and only stay with one eLearning per employee. 

Please help!

  • Anonymous's avatar
    Anonymous
    3 years ago

    Hi keylian031987 ,

     

    My solution is to split English and Spanish, and then filter out English or Spanish to keep one.

    Sample data:

     

    1.Split Column By Delimiter

    2.Filter the Column1.2

                                                                                                                                                             

    Best Regards,

    Stephen Tao

     

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

2 Replies

  • Vijay_A_Verma's avatar
    Vijay_A_Verma
    Most Valuable Professional

    Here is a solution

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSkxKVjAyMDLWNTJV0FUILkjMyyzOUIrViVZKSU1DknHNS8/BLoOsB9U0t6LUvGSIREVlFZKEc0ZmXmpxKhYtcGtiAQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Title = _t]),
        #"Added Custom" = Table.AddColumn(Source, "Custom", each Text.BeforeDelimiter([Title], " - ")),
        #"Removed Duplicates" = Table.SelectColumns(Table.Distinct(#"Added Custom", {"Custom"}), "Title")
    in
        #"Removed Duplicates"
  • Anonymous's avatar
    Anonymous
    Not applicable

    Hi keylian031987 ,

     

    My solution is to split English and Spanish, and then filter out English or Spanish to keep one.

    Sample data:

     

    1.Split Column By Delimiter

    2.Filter the Column1.2

                                                                                                                                                             

    Best Regards,

    Stephen Tao

     

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