Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Good morning,
How can I remove repeating values across columns within a row? I don't have a fixed delimiter to split the cells. Is there any logic that can look within the row and remove contents that are in column A from Column B for example? Unfortunately my data is confidential but tried to create an example using common data below. I appreciate any help you can offer!
Thanks!
Amy
| Column A | Column B | Column C | Column D |
| Amy Beth | Amy Beth Smith | Amy Beth Smith Ms | Amy Beth Smith MS and Family |
| Ishaan | Ishaan Jaglan | Ishaan Jaglan II | Ishaan Jaglan II with Guest |
| DESIRED DATASET | |||
| Amy Beth | Smith | Ms | and Family |
| Ishaan | Jaglan | II | with Guest |
Solved! Go to Solution.
Hi @AmyBeth
you can strip out the occurrences of the strings from "ColumnA" from other columns like so:
Text.Replace([ColumnName], [Column A], "")
If you have many columns, unpivoting and pivoting back might be the most efficient solution:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcsytVHBKLclQ0oEzFYJzM7EIKPgWYxELVkjMS1FwS8zNzKlUitWJVvIszkhMzAOqhDAUvBLTczD5Cp6eWIQUykFmupemFpcoxcYCAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [#"Column A" = _t, #"Column B" = _t, #"Column C" = _t, #"Column D" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Column A", type text}, {"Column B", type text}, {"Column C", type text}, {"Column D", type text}}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Column A"}, "Attribute", "Value"),
#"Added Custom" = Table.AddColumn(#"Unpivoted Other Columns", "Custom", each Text.Replace([Value], [Column A], "")),
#"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"Value"}),
#"Trimmed Text" = Table.TransformColumns(#"Removed Columns",{{"Custom", Text.Trim, type text}}),
#"Pivoted Column" = Table.Pivot(#"Trimmed Text", List.Distinct(#"Trimmed Text"[Attribute]), "Attribute", "Custom")
in
#"Pivoted Column"
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
Hi @AmyBeth
you can strip out the occurrences of the strings from "ColumnA" from other columns like so:
Text.Replace([ColumnName], [Column A], "")
If you have many columns, unpivoting and pivoting back might be the most efficient solution:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcsytVHBKLclQ0oEzFYJzM7EIKPgWYxELVkjMS1FwS8zNzKlUitWJVvIszkhMzAOqhDAUvBLTczD5Cp6eWIQUykFmupemFpcoxcYCAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [#"Column A" = _t, #"Column B" = _t, #"Column C" = _t, #"Column D" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Column A", type text}, {"Column B", type text}, {"Column C", type text}, {"Column D", type text}}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Column A"}, "Attribute", "Value"),
#"Added Custom" = Table.AddColumn(#"Unpivoted Other Columns", "Custom", each Text.Replace([Value], [Column A], "")),
#"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"Value"}),
#"Trimmed Text" = Table.TransformColumns(#"Removed Columns",{{"Custom", Text.Trim, type text}}),
#"Pivoted Column" = Table.Pivot(#"Trimmed Text", List.Distinct(#"Trimmed Text"[Attribute]), "Attribute", "Custom")
in
#"Pivoted Column"
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
| User | Count |
|---|---|
| 19 | |
| 10 | |
| 9 | |
| 8 | |
| 7 |