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kirabray
Regular Visitor

Removing Duplicates

Hello,

 

I have duplicates in my data that are similar but not exact dupes (ie John_Smith and John_Smi). How am I able to consolidate these two but keep the ones that will be changing as their own distinct rows, just under the new name?

1 ACCEPTED SOLUTION
v-rzhou-msft
Community Support
Community Support

Hi @kirabray ,

 

Here I create a sample to have a test. I suggest you to try fuzzy merge and then do some transformations in Power Query Editor.

My Sample:

RicoZhou_0-1665124421298.png

M Query:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8srPyIsPzs0syVCK1UFwwZygzOT8+KiM/FIUqRJkOSS2UmwsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Name = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", type text}}),
    #"Merged Queries" = Table.FuzzyNestedJoin(#"Changed Type", {"Name"}, #"Changed Type", {"Name"}, "Changed Type", JoinKind.LeftOuter, [IgnoreCase=true, IgnoreSpace=true, Threshold=0.1]),
    #"Expanded Changed Type" = Table.ExpandTableColumn(#"Merged Queries", "Changed Type", {"Name"}, {"Changed Type.Name"}),
    #"Added Custom" = Table.AddColumn(#"Expanded Changed Type", "Custom", each Text.Length([Changed Type.Name])),
    #"Added Custom1" = Table.AddColumn(#"Added Custom", "Custom.1", each List.Max(
let _Name = [Name] in
Table.SelectRows(#"Added Custom",each _Name = [Name])[Custom])),
    #"Removed Duplicates" = Table.Distinct(#"Added Custom1", {"Custom", "Custom.1", "Changed Type.Name"}),
    #"Filtered Rows" = Table.SelectRows(#"Removed Duplicates", each ([Custom] = [Custom.1])),
    #"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Changed Type.Name", "Custom", "Custom.1"})
in
    #"Removed Columns"

  Result is as below.

RicoZhou_1-1665124548126.png

 

Best Regards,
Rico Zhou

 

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

View solution in original post

3 REPLIES 3
v-rzhou-msft
Community Support
Community Support

Hi @kirabray ,

 

Here I create a sample to have a test. I suggest you to try fuzzy merge and then do some transformations in Power Query Editor.

My Sample:

RicoZhou_0-1665124421298.png

M Query:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8srPyIsPzs0syVCK1UFwwZygzOT8+KiM/FIUqRJkOSS2UmwsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Name = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", type text}}),
    #"Merged Queries" = Table.FuzzyNestedJoin(#"Changed Type", {"Name"}, #"Changed Type", {"Name"}, "Changed Type", JoinKind.LeftOuter, [IgnoreCase=true, IgnoreSpace=true, Threshold=0.1]),
    #"Expanded Changed Type" = Table.ExpandTableColumn(#"Merged Queries", "Changed Type", {"Name"}, {"Changed Type.Name"}),
    #"Added Custom" = Table.AddColumn(#"Expanded Changed Type", "Custom", each Text.Length([Changed Type.Name])),
    #"Added Custom1" = Table.AddColumn(#"Added Custom", "Custom.1", each List.Max(
let _Name = [Name] in
Table.SelectRows(#"Added Custom",each _Name = [Name])[Custom])),
    #"Removed Duplicates" = Table.Distinct(#"Added Custom1", {"Custom", "Custom.1", "Changed Type.Name"}),
    #"Filtered Rows" = Table.SelectRows(#"Removed Duplicates", each ([Custom] = [Custom.1])),
    #"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Changed Type.Name", "Custom", "Custom.1"})
in
    #"Removed Columns"

  Result is as below.

RicoZhou_1-1665124548126.png

 

Best Regards,
Rico Zhou

 

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

Thank you for this solution! I will try it out.

Hi @kirabray ,

 

Could you tell me if your problem has been solved? If it is, kindly Accept it as the solution. More people will benefit from it. Or you are still confused about it, please provide me with more details about your table and your issue or share me with your pbix file without sensitive data.


Best Regards,

Rico Zhou

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